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LIES OF JEW MARCO POLO, who was imprisoned for 15 years by Emperor Kublai Khan on charges of attempting to smuggle silk cocoons to Venice - Capt Ajit Vadakayil

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Marco Polo Portrait Photo

NETFLIX IS GUILTY OF KOSHER WHITE WASHING HISTORY , TO SUIT THE FALSE NARRATIVE OF JEW ROTHSCHILD..  

NETFLIX IS WORSE THAN WIKIPEDIA AND HISTORY TV CHANNEL



https://en.wikipedia.org/wiki/Marco_Polo_(TV_series)













It is a lie of Wikipedia that Marco Polo was nicknamed “Milione” for telling that Kublai Khan had millions in wealth.  

Even the most gullible refused to believe his tall far fetched travel stories.  His book became known as Il Milione, "The Million Lies," and Marco earned the nickname of "Marco Milione".


Venice was the wealthiest city in Europe because it was the shipping hub of spices imported by Italian Jews from Calicut ( my hometown ) the Capital of Malabar ( North Kerala ).


Later silk cocoons and Mulberry trees smuggled from China converted Venice to a silk manufacturing centre.    Spices dried up after the Ottoman Sultan Mehmed II conquered Constantinople, the main hub of Calicut spices  . 


Marco polo was not adopted by Kublai Khan as his son..  Rather Kublai Khan threw him into a horrible jail for 15 years along with his father Nicolo and uncle Maffeo after branding them with white hot iron as silk cocoon thieves..


There are absolutely no accounts of Marco Polo in China by Chinese records.

Marco Polo never came to Kerala by ship.. He went to Kublai Khan’s court by overland Silk route and was sent back the same way after his 15 year old jail term.  

We in Calicut have no records of his visit by ship.  

Marco Polo uses the word Eli for a place he visited in Kerala.   

This word in reality is Ezhi mala where the Calicut king maintained a spice depot dedicated to the needs of kosher Jewish spice merchants of Venice .   Mala means mountain .  

https://en.wikisource.org/wiki/The_Travels_of_Marco_Polo/Book_3/Chapter_24

Moden Ezhimala Naval academy is situated here..    


By the way, Kottayam in ancient traveler writings where massive troves of Roman gold coins were excavated is a place near Kannur and is not the Kottayam of South Kerala of today. 



Travelers who came to Calicut Chinese Admiral Zheng He (died 1434 ) and Moroccan traveller Ibn Batuta ( died 1369 ) never heard of Marco Polo ( died 1324 ) .  Kublai Khan died in 1294 ..



St Thomas , the disciple of Jesus Christ never visited and died in Kerala as written by Marco Polo .  Jesus Christ himself never existed and was cooked up by Jewess Helena in 325 AD.



Kublai Khan’s mother was not a Nestorian Christian.  

Genghis Khan , Kublai Khan and his mother were all Hindus.  Nestorian Christian John Prester who ruled a part of Mongolia ( sic) never existed.  

It is a lie that Genghis Khan’s ( grandfather of Kublai Khan ) foster father was John Prester ( Toghrul, King of Keraites ) .  

Liar Marco Polo dedicated three chapters in his book to John Prester.  

In reality Hindu Toghrul  was the blood brother of the Hindu Mongol chief Yesugei  whose Hindu son  Temüjin, was later known as Genghis Khan.


It is a lie that China discovered silk and created silk clothes first.  Kings of Mahabharata wore silk 6000 years ago. King Mahabali wore silk 12,000 years ago.   

 Zheng He took tropical Morus Alba / Indica mulberry saplings from Calicut to China.   A single cocoon fed on Morus Alba could yield a continuous silk yarn 1300 metres long.. Morus Alba leaves were used for making potent herbs in Ayurveda


Marco Polo never wrote of Chinese tea ceremony or even the Great Wall of China


Marco Polo never heard of Kerala sage and Kalari expert Bodhi Dharma who gave the art of Martial arts Kung Fu to the Chinese



It is a lie that Marco Polo gave Kublai Khan the engineering to invent counterweighted catapult ( Trebuchet ) to wreck stone fort walls.   Genghis Khan used the same Trebuchets used by grandson Kublai Khan..








It is a lie that Kublai Khan gave Marco Polo a diplomatic golden passport to travel anywhere unmolested and unchecked .. a solid gold royal insignia tablet 6 inches long .

The one he showed people in Venice is a fake on created by the Jew Pope who sponsored his lies.


The god of Kublai and Genghis Khan is “ blue eternal sky” as per Marco Polo. This is AAKASHA , the field of BrahmAn—the Advaita Vedanta god. 


Hindu Genghis Khan was cremated with a 40 day mourning period as per Sanatana Dharma custom..   

Hindu Genghis Khan never invaded Hindu India as his clan were followers of Karna ( hero of Mahabharata ) who died 6000 years ago.  

Khan is derived from Karn and is pronounced the same way from the epiglottis

Karna’s wife princess Vrushali was the sister of Duryodhana’s charioteer Satyasen. Vrishaketu was the youngest son of Karna, and the only son to survive the Mahabharata war .  

Pandavas and Krishna were fond of  Vrishaketu, and he was made the king of Karna’s Anga Kingdom which extended right up the Eastern shores of China till Mongolia.


Yuyutsu , the non-cloned son of blind King Dhritarashtra and 9 others survived the Kurukshetra war from the Kaurava camp  6000 years ago















The capital city of Genghis Khan was Karakoram ( Karna Qurn - Karna the exalted)..

95% of Wikipedia , Rothschild’s mouthpiece is pure bullshit which is rabidly anti-India and anti-Hindu.


https://en.wikipedia.org/wiki/Karakoram





BELOW :  MUZIRIS IN KERALA IS ALSO KNOWN AS KODUNGALLUR/ CRANGANORE..  IT WAS THE CULTURAL CENTRE OF THE CALICUT KING..


THIS ROUTE ON MAP BY MARCO POLO OVERLAND TO CHINA FROM VENICE BY LAND ( SILK ROAD ) AND BACK TO VENICE BY SHIP VIA MUZIRIS IS A TOTAL LIE..
















ABOVE: VASCO DA GAMA LANDED IN CALICUT IN 1498 AD..  




THE KING OF CALICUT (THE RICHEST KING ON THE PLANET ) DROVE HIM AWAY TO GOA AS HE STARTED QUARRELING WITH MAPPILA ( MUSLIM ) SPICE MIDDLEMEN AND HAD A PROBLEM WITH PAYING CUSTOMS DUES ..



http://ajitvadakayil.blogspot.com/2016/09/portuguese-inquisition-is-goa-by-jesuit.html


IT IS A LIE THAT MARCO POLO WENT TO ALASKA ..   

THE MAPS OSTENSIBLY PROVIDED BY HIS THREE DAUGHTERS  FANTINA, BELLELA AND MORETA  ( SIGNED AND ATTESTED )  IS A FORGERY DONE BY THE POPE CENTURES LATER . 
I HAVE BEEN A SHIP CAPTAIN FOR 30 YEARS ..

I KNOW ALL THE SEA ROUTES WHICH MARCO POLO CLAIMED TO HAVE TAKEN..I WILL VOUCH THAT IT IS 100% BULLSHIT.



The fake maps would show that Marco Polo recorded the shape of the Alaskan coast
The fake maps raise the possibility that Marco Polo crossed the 51-mile Bering Strait, sailed around the Aleutian Islands and down the coast of present-day Canada. 

If true, not only would that place Marco Polo in America two centuries before Columbus, it would mean he found the Bering Strait four centuries before Danish explorer Vitus Bering supposedly became the first European to have sailed the waterway





Marco Polo left a surprisingly zilch paper trail.    No Asian sources mention the footloose lying Italian Jew . 

The only record of his thirteenth-century odyssey through the Far East is the hot air of his own imaginary travels, which was actually an ‘as told to’ penned by a writer of romances. , though he did once boast: ‘I did not tell half of what I saw.’”



In Shakespeare’s play “Merchant of Venice” Jew Shylock is a wealthy financier who imported spices from Calicut to Venice.

This wicked Jew is in reality Enrico Dandolo  a spice merchant from Venice who financed the fouth crusade to sack the city of Constantinople and then later to end the Roman Empire by assisting Ottoman Sultan Mehmed II whose mother was a Jewess..


The bastard Jew Pope Innocent III is responsible for the end of the enormous power of Christian Roman empire at Constantinople by secretly asking the Catholic crusaders to loot the wealth of Constantinople ( fourth crusade April 1204 AD )....


After the city's sacking, most of the Byzantine empire's territories were divided up among the catholic crusaders.   This is what happens when you don’t kiss the hand of the Pope..


Relations between the Catholic and Orthodox churches were catastrophically wounded for many centuries afterwards, and would not be substantially repaired until modern times.


To fully understand why the sack of Constantinople happened, it’s important to know about what occurred 33 years before the fourth crusade began.


In the 12th century, Constantinople had three quarters, which were inhabited by spice merchants of Venice, Pisa, and Genoa.


As time passed, tension began to grow, because the Jewish venetians didn’t tolerate that they had spice trade competitors ( spices shipped from Calicut ) who could possibly outmatch them.


Subsequently, in 1171, the Jewish venetians ransacked the Genoese quarter, whereby the orthodox Christian Genoese were killed and their property was looted.


Emperor Manuel I Komnenos imprisoned all the venetians that were living in the Jewish venetian quarter, and their property was confiscated.


In 1182, the Byzantines massacred about 61,000 Roman Catholics that inhabited the Latin quarter in Constantinople.   Only 4.300 managed to survive.


These 4.300 Catholics were sold as slaves to the Turks in Anatolia.


The relationship between western and eastern churches only worsened after this massacre.


22 years later, the inevitable occurred; the fourth crusade.


The reason why the catholic crusaders were able to sack constantinople is due to the support of the Jew Venetians.   The participation of the Venetians in the fourth crusade had a lot to do with money and revenge.


Spice merchant Jew Enrico Dandolo is known for his role in the fourth crusade and the sack of Constantinople. this Jewish bastard is the real Shylock.


By the time Ottoman Turk ultan Mehmed II took over Constantinople, Roman emperor Constantine XI was more of a mayor of an impoverished city.. He was no mighty Augustus or Julius Caesar..


Mehmed II could have been defeated if the bastard Jew Pope Nicholas V had sent a naval fleet to save Constantinople .. the Jew pope kept saying he will send arms, soldiers and food, but he never did.


The mighty pope was asked on 2nd April for help and it did not arrive till 29th May 1453 when the emperor Constantine XI was killed..


The oldest bank of this planet is the Jewish Bank of Saint George, founded in 1407 at Genoa to bank spice trade profits.



Below:  On 22 April 1453, Ottoman Sultan Mehmed II transported his lighter warships overland, around the Jewish part of the Genoese colony of Galata, and into the Golden Horn's northern shore; 

Eighty warships were transported from the Bosphorus after paving a route, little over one mile, with greased wood.  











The inlet to Constantinople was blocked by a long chain underwater by the Christian King of Constantinople.  





Treachery by Jews his was the main reason for the fall of the Christian Constantinople. ..  




BELOW: THIS IS THE COVER OF MARCO POLOs BOOK.

ON THE MIDDLE RIGHT HAND SIDE THE NAME OF THE CITY IS "CALICA"  ..

 IT IS CALICUT MY HOMETOWN WHICH SHIPPED SPICES TO VENICE..

THE MAN ON THE RIGHT TOP CORNER IS POGIO BRACCIOLINI



SCHOLAR POGIO BABY CALLS CALICUT SHIP BUILDING TREES--   FIR TREES 

SORRY, THESE ARE TEAK TREES.


Marco Polo’s accounts are poison injected as they speak of the tribe GAVI of Kerala who ate beef –who also killed St Thomas ( who never existed  ).  


QUOTE:  The Body of Messer St. Thomas the Apostle lies in this province of Maabar at a certain little town having no great population. 'Tis a place where few traders go, because there is very little merchandize to be got there UNQUOTE

THIS BASTARD MARCO POLO DOES NOT KNOW THAT MALABAR IS THE SOURCE OF SPICES WHICH FLOODED INTO VENICE, MAKING IT THE RICHEST CITY IN EUROPE .


AND THIS CUNT MARCO POLO DOES NOT KNOW THAT ST THOMAS DEAD BODY IS AT MADRAS ( TAMIL NADU ) AS PER THE POPE  –   NOT MALABAR ( NORTH KERALA ).

ST THOMAS NEVER EXISTED..  YET KERALA CHRISTIANS WITH THOMAS SURNAME ARE HAJAAAR EAGER TO OWN HIM AS REAL

https://en.wikisource.org/wiki/The_Travels_of_Marco_Polo/Book_3/Chapter_18





https://www.theguardian.com/books/2000/apr/15/books.guardianreview



There are six tombs for St. Thomas worldwide: one in Brazil, a second in Germany, a third in Japan, a fourth in Malacca, a fifth in Tibet, and a sixth in China. These were created as part of converting the natives to Christian fold based on the principles of incultration. In all these places myths of St. Thomas's arrival is prevalent

There are six tombs for St. Thomas in South India. Two are in San Thome Cathedral at Mylapore, built by replacing Kapaleeshwarar Temple, a third on an island south-west of Cochin, a fourth in a Syrian church at Tiruvancode in Travancore, a fifth in a Shiva temple at Malayattur in Travancore, and a sixth at Kalayamuthur west of Madurai near the Palani Hills.

St Thomas relics ( bones ) are all over this planet.  I have seen some of them..  

Every place wants to say they have the original finger bone which poked into the chest wound of Jesus ( who never existed )





















BELOW: FINGER IN ROME -- I HAVE SEEN IT !


























https://ivarfjeld.com/2013/02/02/bowing-and-praying-before-a-box-with-a-skeleton/


St. Thomas ( who never existed  ) was called the Apostle of the East by Indian Christians up until 1953 and St. Francis Xavier was called the Apostle of India till that same date.    

However, after Cardinal  Eugène Tisserant  (  Pro-Prefect of the Vatican Library )  brought a fake St. Thomas relic from Ortona to Kodungallur in 1953,  Jew  St. Francis Xavier was demoted and St. Thomas was designated the new Apostle of India.    


Eugène Tisserant  participated in the conclave of 1939, which elected Jew Pacelli as Pope Pius XII.


According to Indian Christian myth, St. Thomas ( who never existed ) landed in Kodungallur in AD 52, in the company of a Jewish merchant Abbanes (Hebban).

https://en.wikipedia.org/wiki/Acts_of_Thomas




The St Thomas church of Kodungallur was originally a temple replica of the Hindu temple of Apollo Daphne of Atioch which was burned down on 22nd Oct 362 AD , as it reminded people of Kerala sage Apollonous of Tyana on whom Jesus Christ was modeled ..

The Hindu temple of Apollo Daphne of Atioch was built by a wealthy Hindu Thiyya spice merchant namedKnanaya Thommen (  Thomas of Cana  , who ferried shiploads of Hindu refugees to Muziris ( Kodungallur )..  In Malayalam Thomas is called Thommen.


The story that there was a Christian by name Uraha Mar Yousef ( Mor Joseph of Urfa) being on the ship of Thomas of Cana is BULL.    These Hindu people were running away from sadist Christians .

This Hindu temple at Kodungallur was converted to a St Thomas church by the Portuguese.. Jesus Christ and his disciple Thomas never existed and was cooked up in 325AD at the First Council Of Nicea ..


The 4000 year old Hindu temple of Apollo Daphne at Antioch was at the site where Kerala sage Apollonius of Tyana used to lecture at the clear water springs of Daphne, the source of Antiochs drinking water . Almost all Hindu roman emperors ( including Julius Caesar ) visited this temple to consult the oracle .. 


There was a massive 3000 year old Hindu library , with an attached Ayurveda bank ( just like Cordoba ) at Antioch containing several books about Apollonius of Tyana..
The Antioch library owned by the Calicut king ( managed by sages from Calicut ) was burnt down in 364 AD , by Roman emperor Flavius Jovianus .


After christianity was born in 325 AD, the Hindu Essenes ( who wrote the Dead sea scrolls ) and Hindu Nazarenes of Qumran ( Palestine ) fled to Antioch. They had to flee again from Antioch ( to Kodungallur ) in 370 AD, when the Christian Roman emperor Valens ordered Hindus of Antioch to convert to Christianity or be burned alive...


Despite all coercive attempts to convert Antioch Hindus to Chrisianity, including burning them alive, the Hindus( Essenes - ISHANIS / Nazarenes - NASRANIS / Manichaeans -ACHHAYANS) preferred to flee to Kerala, India and start a new life rather than convert.. Even today these refugees are called Achayyans.. No persecuted Christian convert refugee ever came to Kerala..

Jewess Helena, mother of Roman Emperor Constantine the Great  visited Jerusalem in 326 AD after the first council of Nicea , and “discovered “ many relics of Jesus ( who never existed ) — the cross / title on cross INRI / lance of Longinus/  the crown of thorns / nails of crucifixion / relics of 3 wise men / marble stairs of Pontius Pilate/  tunic worn by Jesus on last day/ pieces of rope used to tie Jesus on the cross/  bone of index finger of St Thomas which poked into the wound on Jesus’s chest etc .. she had made a dry run two years before and she knew what to do..


Marco Polo is the first author in history to identify St. Thomas with Kerala.
Since he never came to Kerala we know the Pope is behind this propaganda. 

Initially even Nestorian Christian John Prester was supposed to be from Kerala, till Marco Polo put him in Mongolia.  

Sorry Pope, you can stop your wet dreams.  There was NO Christianity on China or Mongolia during the time of Kublai Khan.

According to Marco Polo Prester John was the ruler of the small  Öngüt tribal kingdom ( sic ) in North China and the leading representative of Nestorian Christianity in East Asia.  

Nestorianism was named after Christian theologian Nestorius (386–450), Patriarch of Constantinople from 428 to 431..


KUBLAI KHANs MOTHER WAS A HINDU LIKE HER HUSBAND , NOT A NESTORIAN CHRISTIAN NAMED SORGHAGHTANI BEKI


“Remember, Saint Thomas came to India when many of the countries of Europe had not yet become Christian, and so those Indians, who trace their Christianity to him have a longer history and a higher ancestry than that of Christians of many of the European countries.   And it is really a matter of pride to us that it so happened.”   Kayastha Dr. S. Rajendra Prasad, President of India ( 1952-62), from his speech at the Saint Thomas Day Celebrations in New Delhi on 18 December 1955.   Nehru also said the same thing..


“It is an honor and special grace for me to come to the Cathedral Basilica of Saint Thomas the Apostle here in Madras. As so many pilgrims before me have done, I too come to venerate the Tomb of the Apostle to India. This holy place speaks of the history of the Church in this beloved land. It calls to mind, not only Saint Thomas and his martyrdom, but all the others after him who have dedicated their lives to the preaching of the Gospel, all those who have borne witness to Christ both in word and in deed.” Pope John Paul II on his vist to India in 1986, at the Thomas Shrine, Madras – 5 February 1986.


Pope Paul III spAke “there were no valid documents to demonstrate the existence of Christ.”


Pope Leo X (1513-1521) said Jesus was a mere legend.


In between Vatican came out with a trump card.  They came out with The gospel of Thomas --a Coptic manuscript discovered in 1945 at Nag Hammadi in Egypt. This manuscript contains 114 sayings attributed to Jesus.


IT WAS FOUND TO BE A RIDICULOUS FAKE.


FLAVIUS JOSEPHUS, a Jewish Historian.-  The reference to Jesus of Nazareth fraudulently inserted by  Vatican . No such person as Jesus of Nazareth existed in the time of Josephus.



JEWS HAVE USED THE COOKED UP BIBLE BIBLE TO ESTABLISH THAT THEIR HOMELAND IS PALESTINE.

On 7 May 1487, two Portuguese envoys, Pêro da Covilhã and Afonso de Paiva, were sent traveling secretly overland to gather information on a possible sea route to Calicut, India, but also to inquire about CHOOT KA DHAKKAN Prester John, who never existed ..


When Genghis Khan conquered Persia in the early 13th century, Crusaders in Palestine credited the victory to a King David of Kerala, India, the son of Prester John ( sic ).


When Genghis Khan conquered Persia in the early 13th century, Crusaders in Palestine credited the victory to a King David of Kerala, India, the son of Prester John ( sic ).

Liar Marco Polo claimed that around the year 1200, Genghis Khan sought to marry one of Prester John’s daughters.  But Prester John would have none of it, and sent an angry letter to Genghis Khan in response. BAAAAP REH !    See Christians have plenty of GMT ( gaand mein tatti )

https://en.wikisource.org/wiki/The_Travels_of_Marco_Polo/Book_1/Chapter_59

https://en.wikisource.org/wiki/The_Travels_of_Marco_Polo/Book_1/Chapter_47



JAI  JAI  PRESTER  JOHN !


In 1221, Jacques de Vitry, Bishop of Acre, returned from the disastrous Fifth Crusade with good news: King David of India, the son or grandson of Prester John, had mobilized his armies against the Saracens. ... His reign took the story of Prester John in a new fuckin’ direction


THE POPE HAD A WET DREAM—  HE  WANTED TO CLAIM GENGHIS KHAN AS DESCENDANT OF CHRISTIAN  PRESTER JOHN, WHO WOULD SCREW THE MUSLIMS OF PALESTINE .( LIKE GABBAR SINGH ) 


The history of Prester John is the history of a man who never existed. Why is it that Marco Polo wasted so many pages on Prester John ? 

Each reference to Prester John  was compounded of two elements; on one side the Pope’s wish for the existence of a strong Christian power beyond the confines of Medieval Christendom; on the other, some historical event or process in a far corner of the earth, on the distorted news of which was based a concrete shape for this wish.


Khan is certainly not a Muslim name.  Crypto Jews from Peshawar are called Khans , a corruption of German Kahn.   Most Bollywood Khans are Pashtun Jews from Peshwar whose ancestors were Opium drug street agents of Jew Rothschild..  The Khan market was a Jew Market in Delhi..


Karakorum was the capital of the Mongol Empire between 1235 and 1260
William of Rubruck, a Flemish Franciscan missionary and papal envoy to the Mongols reached Karakorum in 1254. He has left one of the most detailed, though not always flattering, accounts of the city.


MAHABHARAT MEANT “GREATER INDIA” , WHICH INCLUDED INDIA OUTSIDE THE TRADITIONAL PERIMETERS OF THE PASSES OF HINDU KUSH MOUNTAINS AND HIMALAYAS...  

BEFORE 7000 BC INDIA RULED THE WHOLE PLANET..  AFTER 7000 BC INDIA RULED FROM PALESTINE TO URALS TO VIETNAM.

In 1220 Genghis Khan, the great Mongol conqueror, established his headquarters in Karakoram and used it as a base for his invasion of China.   In 1267 the capital was moved to Khanbaliq (modern Peking) by grandson Kublai Khan, greatest of the successors of Genghis Khan and founder of the Mongol (Yüan) dynasty (1206–1368) in China

In 1235 Genghis Khan’s son and successor, Ögödei, surrounded Karakorum with walls and built a rectangular palace supported by 64 wooden columns standing on granite bases. 

The magnificent hall was supported by 64 wooden columns on plinths in eight rows of eight. A building in the centre and the division of the interior space into coloured flooring segments clearly demonstrate the Hindu mandala concept built on principles of vaastu


12 Hindu temples of Karakoram were destroyed in 1939 by the Communist leader Khorloogiin Choibalsan .  After the fall of Communism in Mongolia in 1990, the monastery was turned over to the Buddhists..  

Today we worship a fake , Pali speaking , pig eating Buddha cooked up by Jew Rothschild. Every Chinese traveller to India was cooked up by Jew Rothschild.






VERY FEW PEOPLE ON THIS PLANET HEARD ABOUT THE 12,000 YEAR OLD SUDAN PYRAMIDS USED AS WATER PUMPS FOR THE GREAT NUBIAN AQUIFER..





ITALIAN MAINO JEWESS SONIA GANDHI , THE WAITRESS , NEVER HEARD OF KING RAMA WHO FOUNDED ROME.



Jew Sebastiano Ziani ( died 1178 )  was the 42nd Doge of Venice from 15 August 1205 to 1229, succeeding Jew Enrico Dandolo , the Shylock .   

Wealthy spice importer ( from Calicut ) Jew Sebastiano Ziani  Ziani  caused the Treaty of Venice to be signed in 1177.  It was  a peace treaty between the papacy and its allies, the north Italian city-states of the Lombard League, and Frederick I, Holy Roman Emperor.

The emperor Frederick I, Holy Roman Emperor.  recognized the temporal rights of the crypto Jew popes over the city of Rome

Venice was the major centre of spice trade with the middle men of the Calicut King the Arabs

Venice's historical roots rest as far back as the Etruscan Culture.  I am a Etruscan.  It is the  Etruscan element that the Venetians owe their marked artistic faculty.

He first Doge of Venice was a wealthy Kerala Hindu thiyya ( Etruscan ) spice importer from Calicut by the name of Paolo Lucio Anafesto who served from 697 to 717..  

Venice dominated the lucrative spice trade on the Mediterranean Sea, including commerce between Europe and  Malabar ( whose Capital was Calicut ) in India..

I have shown Venice to my wife especially the Jewish ghetto area..  Venice became home to an extremely wealthy spice Kerala Thiyya merchant class, who patronized renowned art and architecture along the city's lagoons..  The Venice republic was ruled by the wealthy Kerala Thiyya Doge, 

who was elected by members of the Great Council of Venice, the city-state's parliament.  The ruling class was an oligarchy of spice merchants..   In 1797, the republic of Venice was plundered by retreating Austrian and then French forces, following an invasion by Rothschild’s agent Jew Napoleon Bonaparte..     

The entire spice wealth of Venice went into Rothschild’s private coffers.   In 1799 Rothschild would steal Kerala temple gold, the fruit of millenniums of spice trade of the Calicut King.


Jew Doge Enrico Dandolo of Venice ( Shylock ) sacked Constantinople using the Jew Pope, during the Fourth Crusade which he financed.  He also helped the Ottoman Sultan Mehmed II to end the Christian rule at Constantinople.   All history written by Wikipedia is foul lies.

The Jew pope sacked his own bastion Rome thrice using bribed vandals and visigoths, to destroy all temples built for Kerala sage Appolonius of Tyana on whom Jesus Christ was modeled at the first council of Nicea in 325 AD..

The great library of Alexandria was burnt by the Jew pope in 391 AD , to destroy all traces of Apollonius of Tyana

Attila the Hun invaded Italy in AD 453 on invitation of the Jew Pope to destroy Hindu temples . 

Again , in  568 AD , the Lombards, a German tribe, invaded Italy on invitation of the Jew Pope.

The glory of ancient Rome before 337 AD , was Hindu glory..    All roman emperors before Constantine ii were Hindus and so were all 600 Kerala Thiyya elite bloodline Roman senators..

The Jewess mother Helena of roman emperor Constantine the Great, personally destroyed all Hindu temples in Jerusalem and built Christians monuments on its foundation , to erase Hinduism from Jerusalem history..

Every Indian child is taught in school that "Nero fiddled while Rome burned ".. This is a foul lie.. Nero knew only how to play the sitar ( kithara )..  Hindu Roman emperor Nero was a wise, efficient , compassionate king..  

It is a lie that Nero watched Rome burn from the tower of Maecenas on the Esquiline hill, as this was one of the first places to be gutted in the fire ..   Hindu Nero was painted as a tyrant by Jewess Helena , the mother of roman emperor Constanine the Great in 325 AD, when she cooked up Jesus who never existed, at the First Council of Nicea..


Rome was set on fire by the Jews .. they did it when Nero went to his summer resport palace, and the wind was in the right direction.. Their kosher goal was to ancient Hindu temples in Rome like, the 850 year old temple of Jupiter stator ascribed to Romulus / temples of Vesta and Diana etc, and Nero’s own palace , the glorious Domus Transitoria..


After the fire which ran for 6 days and 7 nights, out of Rome’s 14 districts , only 4 were intact-- one was the Jewish district east of circus , near Capena gate .


Jews of Rome decimated the power of Emperor Commodus , the son of Marcus Aurelius.  Emperor Commodus was forced to withdraw Roman soldiers manning the army outposts from the German areas, because the Jews infected the Roman camp with the plague..  

Later the Jews would deliberately infect Rome itself with the plague. During this period of turmoil, Jews chocked off grain ( from Alexandria ) to Rome and also set fires to the city again and again.. 

The Jews left Rome during this diseased period and came back only after plague had taken its toll. The Jewish quarters of Rome were untouched by fires..


Jew Enrico Dandolo ( Shylock ) of Venice died in Constantinople  in 1205 and was buried in the vestibule of the church of Hagia Sophia in a marble tomb, on top of which was sculptured the doge’s cap and the coat of arms of St. Mark’s.   

The tomb was destroyed when Hagia Sophia was converted to a mosque after the conquest by the Mehmed II in 1453.   His burial at Constantinople was symbolic of that Constantinople's ( spice trade hub )  importance in the rise of Venice to wealth and power.


Jew Enrico Dandolo appointed Jew Romano  Mairano as his agent .   In Jew Romano  Mairano’s era, Venetian spice traders in London sold a pound of pepper for a sum equivalent to a week’s work for an unskilled laborer.  Cost alone ensured that pepper was as much an attribute of high rank as castles and coats of arms. Spices slowed don purification of meat . 

Kings and wealthy prelates went to their graves embalmed in myrrh and pepper. The most eminent medical authorities of the time insisted that pepper could revive flagging libidos – no hop even after hours of oral suction..

Once spices arrived in Venice, they were unloaded for distribution across Europe. Some were resold directly to merchants arriving from the north.  Others were shipped on barges up the Po Valley, and carried on mules across the Alpine passes to Germany and France.

Venetian galleys sailed past the Strait of Gibraltar and onward to London and Bruges. As often as not, the cinnamon in a duke’s pomander or the ginger in an abbot’s medicine chest or the pepper appearing on a king’s table was at some point freighted and sold by a Venetian who sourced his spices from the Calicut king.

In 1173 AD Jew Romano Mairano  escaped a massacre of his Christian compatriots in Constantinople, fleeing as his shipswere burnt and his  spices confiscated

Bad news came in 1498 AD,  when word reached Venetian merchants that the Portuguese navigator Vasco da Gama had sailed around Africa to India, bypassing the Mediterranean and thus diverting the flow of pepper away from Venice.   

It would be another century  before the torrential rivers of spice would finally run dry, during which time the city of Venice became increasingly forgetful ( deliberate burial of true history ) of the spice traffic that had once bankrolled its beauty.


Venetian spice imports fell from more than 1800 tons a year towards the end of the fifteenth century to less than 400 tons by the first decade of the sixteenth century.


I took my wife to Ruga dei Spezieri, the “street of the Jewish spice merchants” of Venice.  The distinctive Rosewood boxes and bharani spuce jars of Calicut were still there


The Rialto Bridge was the first permanent bridge built over the Grand Canal. 



The Rialto itself has been the heart of Venice for centuries, boasting the city’s largest market, as well as the central banking and spice trading venue in Venice.

Below: That is I at Venice -- St Marco square..  Pigeons shit all over the place.. The canals stink of shit..

Rialto Bridge was built of stone in 1591, but it actually replaced a previous teak wood structure . Today there are 403 bridges in Venice, crossing 150 canals.

This planet’s first Jewish Ghetto was at Venice with rich spice merchant Jews employing mercenaries to protect them more than 5 centuries ago

The ghetto was connected to the rest of the city by two bridges that were only open during the day. Gates were opened in the morning at the ringing of the marangona, the largest bell in St. Mark's Campanile, and locked in the evening.  



Permanent, round-the-clock surveillance of the gates occurred at the Jewish residents' expense.. This was a fort of rich Jews ( to protect their ill gotten wealth ) , not a prison as made out to be by ever moaning lying Jews.


At night the gates to the Ghetto were closed, so it would become a kind of fortress . The area was so small, though, that when the community started growing, the only space was upward. You could call it the world’s first vertical city.




The filthy rich but greedy Jew spice merchants built two synagogues in the ghetto: the Schola Grande Tedesca and the Schola Canton.   These Jew bastards were the oppressors,  not the oppressed.


Venice’s Jewish Ghetto was one of the first in the world. Tell us about its history and how the geography of the city shaped its architecture.




The ghetto area was so small, though, that when the community started growing, the only space was upward. You could call it the world’s first vertical city.  More than 40% of all Hebrew books printed in Europe before 1650 were made in Venice. 




Below: Jew Shylock of Venice -- a mannenquin ,   filthy rich,  yet lives like a pig






The Jews who settled in the Ghetto came from all over Europe: Germany, Italy, Spain, Portugal.  The Ghetto is an area of the Cannaregio sestiere of Venice .. Today, the Ghetto is still a center of Jewish life in the city 






Jews try to fudge the story on the Internet..  

In the video above it looks as if poor Jew Shylock got jacked by the Christians .

Shylock is a Jew who lends money to his Christian rival Antonio, setting the security at a pound of Antonio's flesh.  When a bankrupt Antonio defaults on the loan, Shylock demands the pound of flesh.

PORTIA-   A pound of this merchant’s flesh is yours. The court awards it and the law authorizes it.

SHYLOCK - What a righteous judge!

PORTIA- And you have to cut this flesh from his chest. The law allows it, and the court awards it.

SHYLOCK- What a wise judge! Come on, get ready.

PORTIA-   But wait a moment. There’s something else. This contract doesn’t give you any blood at all. The words expressly specify “a pound of flesh.” So take your penalty of a pound of flesh, but if you shed one drop of Christian blood when you cut it, the state of Venice will confiscate your land and property under Venetian law.

SHYLOCK-  Is that the law?


PORTIA-  You can see for yourself. You asked for justice, so rest assured you’ll get more justice than you bargained for.


In March 2016   Shakespeare’s Merchant of Venice was played in the Ghetto’s main square  as a part of its 500th anniversary with exhibitions, lectures and cultural events at  Teatro La Fenice Opera  House


Macchioro, Macerata, Maendl, Maestri, Maestro, Magrini, Mahlberg, Maimann, MAINO, Maionica, Maissa, Majò, Malvano, Manara, Manasse, Mandel, Mandelberg, Mandler are all Jewish surnames..

Italian Jew Stefano Maino, was the fascist maternal grandfather of half breed Rahul Gandhi who worked with Jew Hitler.


Antonia Edvige Albina Maino, is the real name of Jewess Sonia Gandhi.  This mafia Jewess locked Sitaram Kersi in the toilet and became Congress President



LYING JEW MARCO POLO COULD NOT SPEAK OR READ CHINESE/ MONGOL LANGUAGE ,   AFTER 17 YEARS IN THE PALACE LIVING AS THE ADOPTED SON OF KUBLAI KHAN .  HE USED PERSIAN WORDS TO EXPLAIN MATTERS..

WAH RAAJA WAH !!




Most of Marco Polo’s BULLSHIT stories  have been picked up from Persian merchants in caravan stops.


Jew Rothschild promoted Communism and Karl Marx using the name of  Kublai Khan.  

The lie was that Emperor Kublai Khan promoted agriculture by organizing farmers into "collectives" composed of 50 families.   

These groups were responsible for the care and maintenance of their area, as well as the monitoring of their own members, rewarding those who worked well and punishing those who were lazy.  BRAAAAYYYYYYYYYY 



Why was Marco polo, his father and his uncle ailed for 15 years and branded with hot irons for stealing silk cocoons ( hidden in  hollow bamboo staffs )?  

Kublai Khan flew into a terrific rage as stealing cocoons was equivalent to stealing the lucrative silk trade of the Chinese.


Silk is a natural fiber known for its luster, shine, strength, and durability.   The silkworm produces silk by contracting its body and extruding liquid silk from two glands on the lower lip of the mouthparts. 


These two filaments are made from a protein called fibroin coated with the gum-like protein sericin. The two filaments solidify when they come into contact with the air and become glued together with the sericin to form a single filament.  


The silk filament is continuous, very long more than one kilometer in length, and extremely fine. 

The silkworm takes about three days to make a cocoon around itself using the silk filaments.





Silk is incredibly soft, strong, and is an excellent thermoregulator, keeping you cool when it is warm and warm when it is cool. Calicut kings wore fine cotton  in summer and silk in winter


Nobel prize winner bastard Kailash Satyarthi ( founder of NGO Goodweave ) tried to kill India’s home based silk industry..  You have to learn this ultra skill when you are small and your fingers are deft.. 

Below: I have seen a white Jew barging into a silk saree showroom in Chennai and demanding proof from the shocked owner that no child labour was used in saree weaving.     I asked him if he was a Jew, and then told him to fuck off from there before  I counted ten , failing which I would kick his kosher ass.


In 1996 Human Rights Watch published The Small Hands of Slavery:  Bonded Child Labor in India, a 179-page report documenting the use of bonded child labor in Indian silk industry.. . 

So if a white girl is thrust into Tennis at the age of 3 , it is OK, right?.. but a 14 year old Indian girl who is taught weaving skills by her mother outside school hours is a baaaaad thing, right?  She must be doctor or engineer or lawyer , right? 

In December 1996 the foreign payroll illegal collegium Supreme Court of India issued a groundbreaking decision outlining a detailed framework for punishing employers of children in hazardous (?)  labor


A silk cocoon is a small and scrotiform protection layer woven by silkworms. Harvested cocoons are then soaked in boiling water to soften the sericin holding the silk fibers together in a cocoon shape. The fibers are then unwound to produce a continuous thread.  

The raw silk fibers, which are about 10 micrometers in diameter are very lustrous and fine. To make one pound of silk, about 3000 cocoons are boiled in water. A jasmine-scented chemical emitted in small quantities by the mulberry leaves triggers a single, highly tuned olfactory receptor in the silkworms' antennae

Kerala queens used silk cocoons to keep their face skin nourished and wrinkle free.. When gently massaged the face, those luxuriously soft silk cocoons release Sericin (often used in today’s anti-aging creams) that is essential to the human body,which helps make the face complexion clearer and smoother



Below: The silk saree industry is dying in India thanks to our foreign payroll Judiciary.  

I went for silk saree shopping in 1983 for my wife and then again for my elder son's wife  4 years ago.. 

I know the degradation in quality.. 

China was never ever a match for Indian silk industry.. never mind Wikipedia lies..


Below: Marco Polo was caught stealing mulberry plant saplings..  

After that Kublai Khan's agents were spying on them.   They noticed lot of bamboo staffs in their home and when opened out, they contained silk cocoons with worms. 

In some hollow bamboo staffs Kublai Khan found silkworm eggs or very young larvae .


DURING HIS STAY AT CALICUT IN 1498 AD ,  VASCO DA GAMAs MEN STARTED STEALING PEPPER VINES AND TOP SOIL AT MIDNIGHT , AND STORING IT ON THEIR SHIP IN SECRET..


THE KINGs SPIES REPORTED THIS THEFT TO HIM.


THE KING HAD A HUGE LAUGH AND CRIED..  THEY CAN STEAL OUR PEPPER VINES AND TOP SOIL , INDEED..  BUT CAN THEY STEAL OUR WEATHER AND TAKE IT TO PORTUGAL?




..



  So so so—

In 1292, the Kublai Khan reluctantly agreed to let his adopted son Marco Polo who saved his life and empire many times ( sic )  return to Italy with his father and uncle after they escorted a Mongol princess to Persia for marriage by ship . 

Three years later, in the winter of 1295, when Marco was 42 years old, he finally saw his native Venice again.

Back in Italy, the city-states of JEW Venice and CHRISTIAN Genoa were at war, and Marco Polo became a ship commander ( though he has zilch experience of ships) . He was captured during the fighting and spent a year in a Genoese prison. 

One of his fellow prisoners  Rustichello da Pisa   was a writer of romances and prompted Marco to dictate the story of his travels. These stories were eventually published in French as The Description of the World or The Travels of Marco Polo


“ The Travels of Marco Polo “ is the most controversial book in history, yet we are taught about Marco Polo in our NCERT school books.  .

The authorship is not clear — is it Marco Polo or Rustichello da Pisa  ?

Sometimes the text is in the first-person voice, sometimes in the third-person.

How much of the text is based on Polo’s firsthand experience and how much did the authors insert secondhand accounts by others?

The bullshit “Fra Mauro map” created by the Jew Pope  using a crypto Jew cartographer monk from Venice named Fra Mauro  has been inspired by Marco Polo’s travels.. 

In the log books of Camaldolese Monastery of St. Michael, located on the island of Murano in the Venetian Lagoon Monk Fra Mauro’s job was recorded as collecting the monastery's rents, but from the 1450s he is also mentioned as the creator of a series of world maps.

The Fra Mauro world map, or mappa mundi, was a cartographical work . The map covers over five square meters. The map is extremely detailed and contains many thousands of texts and illustrations.

The “original” map was completed on 24 April 1459, and sent to Portugal, but that copy went missing...

Over the centuries this lying map has been revised again and again and again. 
Two fake copies of maps by Fra Mauro are known to survive. One is a portolan chart in the Vatican Library, (Codice Borgiano V) published by Roberto Almagià in 1944..  

The crater Fra Mauro and associated Fra Mauro formation of the Moon are named after him.


The Apollo 13 lunar mission was intended to explore the Fra Mauro formation, but – due to the explosion aboard the spacecraft – Apollo 13's crew had to return to Earth without landing on the Moon.




https://en.wikipedia.org/wiki/Fra_Mauro_map


When the frazzled Polos returned to Venice in 1295 wearing strange Mongolian clothing like fancy dress , they weren’t exactly greeted with a welcoming party.

The fake 2 yr  voyage which never happened was a perilous one, you see  — of the 600 people (not including the crew) in the convoy only 18 had survived (including all 3 Polos).

Marco Polo spent his remaining days as a businessman, working from home. He died there at almost 70 years of age, on January 8, 1324, and was buried under the church of San Lorenzo, though his tomb has now vanished. His house in Venice was destroyed by fire in 1596.



Kublai Khan’s  favorite wife, Chabi ( a Hindu woman of great dignity and poise ) died, Khan sunk into a deep depression and withdrew from direct contact with his advisors.  To comfort himself, he turned to food and drink and became severely overweight.

He not only drank heavily, he also indulged in a diet that was heavy in animal organs and offal meat. On February 18, 1294, he died of severe gout at the age of 79 and was cremated.

iStock



MARCO POLO DELETED THE TRUTH THAT ALL SPICES TO VENICE WERE EXPORTED BY THE CALICUT KING  FROM MALABAR.      




LITTLE DID JEW MARCO POLO KNOW THAT A BROWN BLOGGER FROM CALICUT WOULD WRITE HIS LEGACY IN THE YEAR 2020.


BELOW: THIS IS WHAT CALICUT BEACH LOOKS LIKE TODAY


BELOW:VASCO DA GAMA CAME TO CALICUT IN 1498 AD 

HE HAD COLORED GLASS IN A BAG, AS A GIFT..

THE KING HAD GONE TO GURUVAYUR ON ELEPHANT BACK AND HE HAD TO WAIT FOR A WEEK.

AND THEN HE SAW THE KING WEARING SILK WITH MASSIVE DIAMOND / EMERALD / RUBY/ SAPPHIRES , A FORTUNE ON HIS SHOES..  

THE CALICUT KING WAS NOT A SAVAGE BUT A MAN OF GREAT INTELLECT, CULTURE AND CLASS.


VASCO DA GAMA BABY WENT BACK TO HIS SHIP AND THREW HIS FAKE GLASS DIAMONDS AND HIS FAKE NECKLACE CHAIN OVERBOARD..






VASCO DA GAMA CAME TO KERALA IN 1498 AD AND MADE THE WORLD FEEL AS IF THE WHITE MAN CIVILIZED THE BROWN MAN..

SORRY—THE TRUTH IS REVERSE..

THE BROWN MAN OF THE DANAVA CIVILIZATION CIVILIZED THE WHITE MAN.

THE DANAVA CIVILIZATION WAS SUNK , TILL A BROWN BLOGGER EXHUMED IT.

KERALA IS ALSO KNOWN IN THE ANCIENT WORLD AS --

MALABAR /
PUNT /
SHEBA /
OPHIR /
THE LAND OF ORIGIN OF SANATANA DHARMA/
THE LAND OF SPICES / 
GODs OWN COUNTRY /
THE LAND OF PLENTY /
THE MOST BEAUTIFUL PART OF THE PLANET /
THE MOST FERTILE LAND ON THE PLANET/
THE RICHEST LAND ON THE PLANET/
THE MOST CULTURED LAND ON THE PLANET /
THE LAND OF THE VEDAS  ON ORAL ROUTE /
THE LAND OF  ALL ANCIENT LEARNING /
THE LAND OF WORLD RULERS ,  PERUMAL KINGS  OF EXEMPLARY QUALITY ..
THE FOUNTAINHEAD OF ALL WORLD CIVILIZATIONS  / 
THE FOUNTAINHEAD OF EVERY MAJOR WORLD RELIGION /
THE LAND OF SANSKRIT AND MALAYALAM /
THE LAND OF FIRST OCEAN NAVIGATORS..
THE LAND OF AYURVEDA
THE LAND OF KALARI , THE DEADLIEST MARTIAL ARTS
THE LAND FROM WHERE PRAYER , MEDITATION ORIGINATED.
THE LAND OF ORIGIN OF  CONCEPTS LIKE PILGRIMAGES / CONSCIOUSNESS
THE LAND OF JIVANMUKTS AND DOLMENS
THE LAND OF IMHOTEP ( AYYAPPA )
THE ACTIVITY GROUND OF ALL NINE VISHNU AVATARS
THE LAND OF SONG AND DANCE ORIGINS - BHAVA + RAGA + TALA
THE LAND WHICH FIRST EMPOWERED WOMEN.
THE CAPITAL OF THE WORLD ( CALICUT, MY HOMETOWN ).
THE LAND FROM WHERE JEW ROTHSCHILD STOLE 300 TRILLION USD.


THE LAND WHICH PRODUCED SUPER HEROES -- ARYABHATTA ( 2700 BC) / CHANAKYA ( 372 BC ) / ADI SHANKARACHARYA ( 2000 BC ) / PANINI ( 5500 BC ) / BHARTRHARI ( 7000 BC ) /  PATANJALI ( 5000 BC ) / LAW MAKER MANU (8300 BC) /  YASKA ( 5800 BC ) /  QUEEN DIDO ( 1600 BC ) /  KANADA MUNI ( 6500 BC ) / VARAHAMIHIRA ( 2660 BC ) / VARARUCHI ( 2830 BC ) / PROF HYPATIA / APOLLONIUS OF TYANA ETC


EVEN THE WHITE MAN KNOWS  —  TODAY KERALA HAS THE PLANETs BEST SOCIAL INDICATORS AMONG ALL NATIONS ON THE PLANET 

( THIS DESPITE DESTRUCTIVE COMMUNIST RULE FOR SEVERAL DECADES FUNDED BY WHITE COMMIE JEWS FROM ABROAD)




BELOW: BEFORE THIS RESORT WAS BUILT, I WENT TO THE SPOT AT 18.54 , 3 DECADES AGO ..  

MY ELDER SON WAS A BABY AND LEECHES BIT HIS BALLS.  

THERE WAS NO ELECTRICITY THOSE DAYS AND WE HAD TO GET OUT BY SUNSET.. 






google for

LIES OF JEW MARCO POLO, WHO WAS IMPRISONED FOR 15 YEARS

what do you see on page 1 as item 1 ?

NETFLIX BASTARDS BE WARNED.. DO NOT SUBVERT HISTORY TO SUIT THE WHITE MAN..

IT WONT WORK !

capt ajit vadakayil
..




















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OUR THOUGHTS ARE ELECTRIC, OUR EMOTIONS ARE MAGNETIC , OUR INTENTIONS ARE SCALAR .   KARMA IS INTENTION BASED AS PER 6000 YEAR OLD BHAGAWAD GITA  Capt Ajit Vadakayil



TO BE CONTINUED --


CAPT AJIT VADAKAYIL
..

WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 12 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 11, BELOW—

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OBJECTIVE AI CANNOT HAVE A VISION, IT CANNOT PRIORITIZE,  IT CANT GLEAN CONTEXT,  IT CANT TELL THE MORAL OF A STORY , IT CANT RECOGNIZE A JOKE,  IT CANT DRIVE CHANGE,   IT CANNOT INNOVATE, IT CANNOT DO ROOT CAUSE ANALYSIS , IT CANNOT DO DYNAMIC RISK ASSESSMENT , IT CANNOT SELF IMPROVE WITH EXPERIENCE,  IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,  IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,   IT CANNOT EVEN SET A GOAL …  IT CAN SPAWN GLOBAL FRAUD WITH DELIBERATE BLACK BOX ALGORITHMS,  JUST FEW AMONG MORE THAN 40 CRITICAL INHERENT DEFICIENCIES.



1
https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
2
https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
3
https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do_29.html
4
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do.html
5
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_4.html
6
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_25.html
7
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_88.html
8
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_15.html
9
https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_94.html
10
https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do.html
11
https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_1.html
12

https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do.html



Anomaly detection is a technique used to identify unusual patterns that do not conform to expected behavior, called outliers

Anomaly detection (or outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data.

Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances. It is often used in preprocessing to remove anomalous data from the dataset.

Anomaly Detection is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations. Such “anomalous” behaviour typically translates to some kind of a problem like a credit card fraud, failing machine in a server, a cyber attack, etc.

Conventionally, businesses use fixed set of thresholds to identify metrics that cross the threshold, to mark them as anomalies.

An anomaly can be broadly categorized into three categories –

Point Anomaly: A tuple in a dataset is said to be a Point Anomaly if it is far off from the rest of the data.
Contextual Anomaly: An observation is a Contextual Anomaly if it is an anomaly because of the context of the observation.
Collective Anomaly: A set of data instances help in finding an anomaly.


It can be done in the following ways – 


Supervised Anomaly Detection: This method requires a labeled dataset containing both normal and anomalous samples to construct a predictive model to classify future data points. The most commonly used algorithms for this purpose are supervised Neural Networks, Support Vector Machine learning, K-Nearest Neighbors Classifier, etc.


Unsupervised Anomaly Detection: This method does require any training data and instead assumes two things about the data ie Only a small percentage of data is anomalous and Any anomaly is statistically different from the normal samples. Based on the above assumptions, the data is then clustered using a similarity measure and the data points which are far off from the cluster are considered to be anomalies.  .  

Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances that seem to fit least to the remainder of the data set.

Since detecting anomalies is a fairly generic task, a number of different machine learning algorithms have been created to tailor the process to specific use cases.

Here are a few common types:--

Detecting suspicious activity in a time series, for example a log file. Here, the dimension of time plays a huge role in the data analysis to determine what is considered a deviation from normal patterns.
Detecting credit card fraud based on a feed of transactions in a labeled dataset of historical frauds. In this type of supervised learning problem, we can train a classifier to classify a transaction as anomalous or fraudulent given that we have a historical dataset of known transactions, authentic and fraudulent.
Detecting a rare and unique combination of a real estate asset’s attributes — for instance, an apartment building from a certain vintage year and a rare unit mix. At Skyline AI, we use these kinds of anomalies to capture interesting rent growth correlations and track down interesting properties for investment.

An anomaly is an extremely rare episode, hard to assign to a specific class, and hard to predict. It is an unexpected event, unclassifiable with current knowledge. It's one of the hardest use cases to crack in data science because:

The current knowledge is not enough to define a class.  More often than not, no examples are available in the data to describe the anomaly

So, the problem of anomaly detection can be easily summarized as looking for an unexpected, abnormal event of which we know nothing and for which we have no data examples. As hopeless as this may seem, it is not an uncommon use case.

Fraudulent transactions, for example, rarely happen and often occur in an unexpected modality
Expensive mechanical pieces in IoT will break at some point without much indication on how they will break

A new arrhythmic heart beat with an unrecognizable shape sometimes shows up in ECG tracks
A cybersecurity threat might appear and not be easily recognized because it has never been seen before

Anomaly detection is a monitoring mechanism, in which a system keeps an eye on important key metrics of the business, and alerts users whenever there is a deviation from normal behavior. 

Conventionally, businesses use fixed set of thresholds to identify metrics that cross the threshold, to mark them as anomalies. However, this method is reactive in nature, which means by the time businesses recognize threshold violations, the damage caused would have amplified multi-fold. What is needed, is a system that constantly monitors data streams for anomalous behavior, and alert users in real-time to facilitate timely action.

Anomaly detection algorithms are capable of analyzing huge volumes of historical data to establish a ‘Normal’ range, and raising red flags when outliers are seen to be deviating from the tolerable range.

A good anomaly detection system should be able to perform the following tasks:--

Identification of signal type and select appropriate model
Forecasting thresholds
Anomaly identification and scoring
Finding root cause by correlating various identified anomalies
Obtaining feedback from users to check quality of anomaly detection
Re-training of the model with new data


Anomalies are identified whenever a particular metric moves beyond the specified threshold. However, it is important to quantify the magnitude of deviation of the anomaly, in order to prioritize which anomaly needs to be investigated/solved first. In the scoring phase, each anomaly is scored as per the magnitude of deviation from median or based on how long the deviated metric sustains from normal behavior. Larger the deviation, higher the score.

Anomaly detection systems are usually designed around tight bounds to highlight deviation quickly, but in the process sometimes these systems raise many false alarms. In fact, false positives is known to be one of the prevalent issues in the area of anomaly detection. 

One cannot underrate the flexibility that needs to be provided to end user, to change the status of a data point from anomaly to normal. After receiving this feedback, models needed to be updated/retrained to avoid identified false positives from recurring.

The system needs to re-train on new data continuously, to adapt as per the newer trends. It is possible that the pattern itself does change due to the change in operating environment, rather than anomalous deviating behavior. However, there should be a balance in the mechanism. Updating the model too frequently requires excessive amount of computational resources, and lower frequency of updating results in a deviation of the model from the actual trend.

Overall, anomaly detection is gaining increased importance in recent years, due to exponential growth of available data, and the absence of impactful mechanisms to use this data. Anomaly detection systems are better fit in identifying significant deviations, and at the same time ignoring the not worthy noises from the ocean of data — enabling business with the right alarms and insights at the right time.

AI and ML have made it a bit easier to detect the proliferation of malware and identify early on in the lifecycle if a file/resource is showing signs of belligerent behaviour. This level of automation has been possible with pattern detection, behaviour-based anomaly detection and advanced use of heuristics – all based on Machine-learned solutions – to keep the intruders out.

Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances. It is often used in preprocessing to remove anomalous data from the dataset. The most simple, and maybe the best approach to start with, is using static rules. 

The Idea is to identify a list of known anomalies and then write rules to detect those anomalies. Rules identification is done by a domain expert, by using pattern mining techniques, or a by combination of both. Unsupervised machine learning algorithms, however, learn what normal is, and then apply a statistical test to determine if a specific data point is an anomaly. 

A system based on this kind of anomaly detection technique is able to detect any type of anomaly, including ones which have never been seen before. Anomaly detection is the process of identifying unexpected items or events in datasets, which differ from the norm. ... 

By publishing the source code and the datasets, this paper aims to be a new well-funded basis for unsupervised anomaly detection researchA statistical anomaly occurs when something falls out of normal range for one group, but not as a result of being in that group

Anomalies are problems that can occur in poorly planned, un-normalised databases where all the data is stored in one table (a flat-file database). Insertion Anomaly - The nature of a database may be such that it is not possible to add a required piece of data unless another piece of unavailable data is also added

In particular, in the context of abuse and network intrusion detection, the interesting objects are often not rare objects, but unexpected bursts in activity. This pattern does not adhere to the common statistical definition of an outlier as a rare object, and many outlier detection methods (in particular unsupervised methods) will fail on such data, unless it has been aggregated appropriately. Instead, a cluster analysis algorithm may be able to detect the micro clusters formed by these patterns.

Anomaly detection is one AI approach in particular that could help banks identify fraudulent transactions and transfers. With predictive analytics, banks could both detect fraud and score transactions by risk level based on a wider range of customer data.

Teradata is an AI firm selling fraud detection solutions to banks. They claim their machine learning platform can enhance banking fraud detection by helping their data analytics software recognize potential fraud cases while avoiding acceptable deviations from the norm. In other cases, these deviations may be flagged and end up as false positives that offer the system feedback to “learn” from its mistakes.

They were able to:--

Reduce their false positives by 60% and were expected to reach 80% as the machine learning model continued to learn.
Increase detection of real fraud by 50%
Refocus their time and resources toward actual cases of fraud and identifying new fraud methods.

Machine learning models for fraud detection can also be used to develop predictive and prescriptive analytics software. Predictive analytics offers a distinct method of fraud detection by analyzing data with a pre-trained algorithm to score a transaction on its fraud riskiness.

Prescriptive analytics takes the predictions made from the correlations of a predictive analytics engine and uses it to provide recommendations for what to do once fraud is detected.

Both predictive and prescriptive analytics software require the same data and training to implement. Banking data experts or data scientists employed by the client bank will need to label a high volume of transactions as either fraudulent or legitimate, and then run all of them though the machine learning model. This allows the machine learning model to be able to recognize fraud methods used in the fraudulent transactions.

Defenses Against Data Poisoning--
Similar to evasion attacks, when it comes to defenses, we’re in a hard spot. Methods exist but none guarantee robustness in 100% of cases.
The most common type of defenses is outlier detection, also knows as “data sanitization” and “anomaly detection”. The idea is simple — when poisoning a machine learning system the attacker is by definition injecting something into the training pool that is very different to what it should include — and hence we should be able to detect that.
The challenge is quantifying “very”. Sometimes the poison injected is indeed from a different data distribution and can be easily isolated:

An interesting twist on anomaly detection is micromodels. The Micromodels defense was proposed for cleaning training data for network intrusion detectors. The defense trains classifiers on non-overlapping epochs of the training set (micromodels) and evaluates them on the training set. 

By using a majority voting of the micromodels, training instances are marked as either safe or suspicious. Intuition is that attacks have relatively low duration and they could only affect a few micromodels at a time.

Anomaly detection has been used in predictive analytics now for several years. By analyzing the data, this function pinpoints activities outside the normal operations and expectations, whether those activities were good or bad.

By building upon the foundation of anomaly detection, contribution analysis provides you with the context in which an activity occurred. It will investigate the anomaly and analyze the data, which affords you with the actionable areas on which to focus your efforts. Scientists from Google’s health-tech subsidiary have pioneered innovative ways of creating revolutionary healthcare insights through artificial intelligence prediction algorithms.










WHAT IS "DEATH BY ALGORITHM "?


IT IS THE BLATANT MISUSE OF ARTIFICIAL INTELLIGENCE .. PALESTINIANS  HAVE BEEN AT THE RECEIVING END ..

On balakot night Indian airforce shot down their own helicopter .. the blame was squarely put of automation gone awry..

Deliberate economic crashes are now blamed on ai algorithms.. A “flash crash” had occurred in 2010, during which the market went into freefall for five traumatic minutes, then righted itself over another five – for no apparent reason.

But what is an algorithm? In fact, the usage has changed in interesting ways since the rise of the internet – and search engines in particular – in the mid-1990s. At root, an algorithm is a small, simple thing; a rule used to automate the treatment of a piece of data. If a happens, then do b; if not, then do c. This is the “if/then/else” logic of classical computing.

When ai automation is first tried out,, it is first used on denizens of third world nations.. In this aircraft humans could not veto automation and take over the control to manual..


We must ban Lethal autonomous weapons (LAWS) –using AI  technology to replace the humans with an algorithm that makes the decision of when to shoot or whom to shoot.

Millions of inncocent women and children were killed from the air in Libya/ Iraq/ Syria/ yemen..  the un turns a nelsons’s eye because jews are not killed this way..

As early as  2007, Noel Sharkey published a dire warning in The Guardian titled “Robot Wars Are a Reality.” An expert in artificial intelligence and robotics, Sharkey expressed concern about the use of battlefield robots; electronic soldiers that act independently of any human control.

Sharkey argued that we “are sleepwalking into a brave new world where robots decide who and when to kill.” 

War is no longer fought primarily on the battlefield. Developments in computing, cyber warfare and artificial intelligence, have changed the way nations and non-state actors engage in hostilities. 

Technologies which enable point and shoot (or click) destruction are growing exponentially year by year, fuelled by a digital revolution that has ricocheted across the globe. Nations have realized that today’s conflicts are waged by 1s and 0s, and that algorithms can be trusted allies in the never ending war. It is now essential for the world to grasp the reality that robot wars are no longer just the fictive imaginings of science fiction..

Can robots and drones be programmed to comply with international human rights law? Since computers are susceptible to viruses and hacking, it is also feasible to assume that the systems which control killer robots could be overtaken by state and non-state actors.


The 18th of March 2018, was the day tech insiders had been dreading. That night, a new moon added almost no light to a poorly lit four-lane road in Tempe, Arizona, as a specially adapted Uber Volvo XC90 detected an object ahead.

 Part of the modern gold rush to develop self-driving vehicles, the SUV had been driving autonomously, with no input from its human backup driver, for 19 minutes. An array of radar and light-emitting lidar sensors allowed onboard algorithms to calculate that, given their host vehicle’s steady speed of 43mph, the object was six seconds away – assuming it remained stationary. 

But objects in roads seldom remain stationary, so more algorithms crawled a database of recognizable mechanical and biological entities, searching for a fit from which this one’s likely behavior could be inferred.

At first the computer drew a blank; seconds later, it decided it was dealing with another car, expecting it to drive away and require no special action. Only at the last second was a clear identification found – a woman with a bike, shopping bags hanging confusingly from handlebars, doubtless assuming the Volvo would route around her as any ordinary vehicle would. 

Barred from taking evasive action on its own, the computer abruptly handed control back to its human master, but the master wasn’t paying attention. Elaine Herzberg, aged 49, was struck and killed, leaving more reflective members of the tech community with two uncomfortable questions: was this algorithmic tragedy inevitable? And how used to such incidents would we, should we, be prepared to get?

When some embedded software experts spent 20 months digging into the code were they able to prove the family’s case, revealing a twisted mass of what programmers call “spaghetti code”, full of algorithms that jostled and fought, generating anomalous, unpredictable output. 


The autonomous cars currently being tested may contain 100m lines of code and, given that no programmer can anticipate all possible circumstances on a real-world road, they have to learn and receive constant updates. How do we avoid clashes in such a fluid code milieu, not least when the algorithms may also have to defend themselves from hackers?

In some ways we’ve lost agency. When programs pass into code and code passes into algorithms and then algorithms start to create new algorithms, it gets farther and farther from human agency. Software is released into a code universe which no one can fully understand..


At core, computer programs are bundles of such algorithms. Recipes for treating data. On the micro level, nothing could be simpler. If computers appear to be performing magic, it’s because they are fast, not intelligent.


Recent years have seen a more portentous and ambiguous meaning emerge, with the word “algorithm” taken to mean any large, complex decision-making software system; any means of taking an array of input – of data – and assessing it quickly, according to a given set of criteria (or “rules”). This has revolutionized areas of medicine, science, transport, communication, making it easy to understand the utopian view of computing that held sway for many years.

f we tend to discuss algorithms in almost biblical terms, as independent entities with lives of their own, it’s because we have been encouraged to think of them in this way. Corporations like Facebook and Google have sold and defended their algorithms on the promise of objectivity, an ability to weigh a set of conditions with mathematical detachment and absence of fuzzy emotion. No wonder such algorithmic decision-making has spread to the granting of loans/ bail/benefits/college places/job interviews and almost anything requiring choice.

far from eradicating human biases, algorithms could magnify and entrench them. After all, software is written by overwhelmingly affluent white men – and it will inevitably reflect their assumptions ..Bias doesn’t require malice to become harm, and unlike a human being, we can’t easily ask an algorithmic gatekeeper to explain its decision..


Big companies like Google “algorithmic audits” of any systems directly affecting the public, a sensible idea that the tech industry will fight tooth and nail, because algorithms are what the companies sell; the last thing they will volunteer is transparency.

We might call these algorithms “dumb”, in the sense that they’re doing their jobs according to parameters defined by humans. The quality of result depends on the thought and skill ( and human biases like with Palestinians and roma gypsies ) with which they were programmed.

At the other end of the spectrum is the more or less distant dream of human-like artificial general intelligence, or AGI. A properly intelligent machine would be able to question the quality of its own calculations, based on something like our own intuition (which we might think of as a broad accumulation of experience and knowledge). 

To put this into perspective, Google’s DeepMind division has been lauded for creating a program capable of mastering arcade games, starting with nothing more than an instruction to aim for the highest possible score.




https://www.vox.com/2019/6/21/18691459/killer-robots-lethal-autonomous-weapons-ai-war


Currently, the use of multiple UAVs in drone swarms is garnering huge interest from the research community, leading to the exploration of topics such as UAV cooperation, multi-drone autonomous navigation, etc.

Researchers have been working on UAV pursuit-evasion based on two probable approaches.  Researchers propose the use of vision-based deep learning object detection and reinforcement learning for detecting and tracking a UAV (target or leader) by another UAV (tracker or follower).

The proposed framework uses vision data captured by a UAV and deep learning to detect and follow another UAV. The algorithm is divided into two parts, the detection of the target UAV and the control of UAV navigation (follower UAV). The deep reinforcement learning approach uses a deep convolutional neural network (CNN) to extract the target pose based on the previous pose and the current frame.

The network works like a Q-learning algorithm. The output is a probabilistic distribution between a set of possible actions such as translation, resizing (e.g., when a target is moving away), or stopping. For each frame from the captured sequence, the algorithm iterates over its predictions until the network predicts a “stop” when the target is within the desired position.

Q-learning is a model-free reinforcement learning algorithm. The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances. It does not require a model (hence the connotation "model-free") of the environment, and it can handle problems with stochastic transitions and rewards, without requiring adaptations.


Q-learning algorithm involves an agent, a set of states and a set of actions per state. It uses Q-values and randomness at some rate to decide which action to take.


The second approach uses deep learning object detection for the detection and tracking of a UAV in a pursuit-evasion scenario. The deep object detection approach uses images captured by a UAV to detect and follow another UAV. This approach uses historical detection data from a set of image sequences and inputs this data to a SAP algorithm in order to locate the area with a high probability UAV presence.

The proposed framework uses images captured by a UAV and a deep learning network to detect and follow another UAV in a pursuit-evasion scenario. The position of the detected target UAV (detected bounding box) is sent to a high-level controller that decides on the controls to send to the follower UAV to keep the target close to the centre of its image frame.

In this work, researchers aim to develop architecture capable of tracking moving targets using predictions over time from a sequence of previously captured frames. The proposed algorithm tracks the target and moves a bounding box according to each movement prediction. The architecture is based on an ADNet (action-decision network).

This work presents two approaches for UAV pursuit-evasion. The obtained results show that the proposed approach is effective in tracking moving objects in complex outdoor scenarios.

.SAP improved the detection of distant UAVs. The obtained results demonstrate the efficiency of the proposed algorithms and show that both approaches are interesting for a UAV pursuit-evasion scenario

Actors in our criminal justice system increasingly rely on computer algorithms to help them predict how dangerous certain people and certain physical locations are. These predictive algorithms have spawned controversies because their operations are often opaque and some algorithms use biased data. 

Yet these same types of predictive algorithms inevitably will migrate into the national security sphere, as the military tries to predict who and where its enemies are. Because military operations face fewer legal strictures and more limited oversight than criminal justice processes do, the military might expect – and hope – that its use of predictive algorithms will remain both unfettered and unseen


  1. https://timesofindia.indiatimes.com/india/no-privacy-left-for-anyone-whats-happening-asks-sc/articleshow/71913853.cms

    THE ILLEGAL COLLEGIUM JUDICIARY CONTROLLED BY THE JEWIS DEEP STATE HAS BLED BHARATMATA FOR TOO LONG..

    OUR KAYASTHA LAW MINISTER PRASAD IS A MOST USELESS FELLOW.. IN 1976 PRASAD WAS THE LACKEY OF CIA SPOOK KAYASTHA AND FELLOW BIHARI JP..

    http://ajitvadakayil.blogspot.com/2017/08/right-to-privacy-in-india-is-not.html

    IN 2017, THE UNION FINANCE MINISTRY, INDIA LAUNCHED ‘PROJECT INSIGHT‘ TO MONITOR HIGH VALUE TRANSACTIONS, INCLUDING MONITORING SOCIAL MEDIA ACCOUNTS, TO DETECT SPENDING PATTERNS AND TO COMPARE THESE WITH TAX RECORDS.

    THE UNION FINANCE MINISTRY ENTERED INTO A CONTRACT WORTH US$100 MILLION WITH L&T INFOTECH (LARSEN & TOUBRO) TO HELP WITH PROJECT INSIGHT.

    BENAMI MEDIA CRITICS ACCUSE THE PROJECT OF BEING VIOLATIVE OF INDIVIDUALS’ PRIVACY.

    SORRY--

    PRIVACY WILL BE AFFORDED ONLY TO LAW ABIDING CITIZENS , NOT PAKISTANI ISI FUNDED TRAITORS WHO WANT TO KILL BHARATAMATA..

    HOME MINISTER AMIT SHAH WAS THROWN INTO JAIL BY TRAITOR JUDICIARY TO PROTECTS PAKISTANI ISIS FUNDED TERRORIST SOHRABUDDIN.. ALL IT TOOK WAS A PIL FROM A PAKISTAN ISI CONTROLLED NGO..

    https://en.wikipedia.org/wiki/Death_of_Sohrabuddin_Sheikh

    capt ajit vadakayil
    ..





























  1. PRESIDENT TRUMP IS VISITING INDIA..

    CAPT AJIT VAADKAYIL DEMANDS FROM PM MODI-- DO NOT GET OVERAWED..

    THREE US PRESIDENTS REAGAN/ BUSH SR AND CLINTON ARE RESPONSIBLE FOR THE COCAINE ADDICTION OF USA.. THE WHITE HOUSE IS THE NO 1 CONSUMER OF COCAINE IN A SINGLE BUILDING WORLD WIDE.

    https://en.wikipedia.org/wiki/Miguel_%C3%81ngel_F%C3%A9lix_Gallardo

    MEXICAN COCAINE DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO RAN GUNS TO NICARAGUA FOR THE US PRESIDENT USING CIA AS A MEDIATOR.. THIS IS NO BIG SECRET..

    MATTA-BALLESTEROS WAS USED BY CIA FIRST TO ARM THE NICARAGUA CONTRAS TO BRING THE PATRIOTIC SANDINISTA GOVT DOWN..

    SANDINISTAS WERE BRANDED AS BAAAAD COMMIES BY REAGAN .. IN REALITY SANSDINISTAS KICKED OUT STEALING JEWISH OLIGARCHS FROM NICARAGUA..

    https://en.wikipedia.org/wiki/Juan_Matta-Ballesteros

    MEXICAN COCAINE DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO DROVE A WEDGE BETWEEN DEA AND CIA.. CIA WAS PROTECTING THIS DRUG LORD FROM DEA..

    DRUG LORD EL CHAPO WAS IN CAHOOTS WITH DEA.. WHEN HE WAS ESCAPING VIA A 1.8 KM LONG TUNNEL FROM JAIL, THE MEXICAN PRESIDENT AND US PRESIDENT WERE MONITORING THIS ESCAPE..

    https://en.wikipedia.org/wiki/Joaqu%C3%ADn_%22El_Chapo%22_Guzm%C3%A1n

    EL CHAPO FUNDED CIA/ DEA AND THE WHITE HOUSE -SO THAT THE US PRESIDENT CAN CIRCUMVENT US CONGRESS FOR SLUSH FUNDS TO CAUSE REGIME CHANGE WOLD WIDE..

    REGIME CHANGE IS ALL ABOUT PUTTING PUPPETS ON THRONES SO THAT JEWS CAN STEAL..

    CAPT AJIT VADAKAYIL ASKS NSA AJIT DOVAL.. YOU ARE NOW 75 YEARS OLD.. DYING YOUR HAIR BLACK CUTS NO ICE .. OTHER THAN BULLSHIT PAKISTANI STUFF, DO YOU UNDERSTAND WORLD INTRIGUE?.. CAN YOU EVEN UNDERSTAND ARTIFICIAL INTELLIGENCE? WHY DONT YOU FUCK OFF AND ALLOW SOMEONE YOUNGER AND MORE TECH SAVVY TO BE THE NSA ?

    CHAIWAALA MODI KNOWS NOTHING REPEAT NOTHING ABOUT WORLD INTRIGUE... SEE THE WAY HE BEHAVES WHEN DONALD TRUMP COMES TO INDIA..

    capt ajit vadakayil
    ..

THIS POST IS NOW CONTINUED TO PART 13 , BELOW--






CAPT AJIT VADAKAYIL
..

ILP, CAB, NRC, WHY CHINA WANTS ARUNACHAL PRADESH, OPIUM GROWN BY JEW ROTHSCHILD-- CAPT AJIT VADAKAYIL

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  1. https://ajitvadakayil.blogspot.com/2019/12/ilp-cab-nrc-why-china-wants-arunachal.html

    I WANT THE ARMY COMMANDERS , BSF COMMANDERS , CRPF COMMANDERS AND SECURITY AGENCIES WHO SERVE IN NE STATES TO READ THIS BLOG POST..

    MY NE READERS MUST DO THIS NOW !

    USE WHATS APP..
    NE STATES HAD 100% HINDU POPULATION , 1000 YEARS AGO.. THE ANCIENT HINDU TEMPLES ARE ALL DESTROYED..


    ANIMAL SACRIFICE IN HINDU TEMPLES OF NE STATES WAS STARTED BY JEW ROTHSCHILD..TO MAKE THE HINDU SELF LOATHING.. TODAY MOST ANIMALS IN OPIUM PRODUCING AREAS ARE FOR SACRIFICE ALONE..
    http://ajitvadakayil.blogspot.com/2014/11/all-animal-sacrifices-in-hindu-temples.html

    THE ITALIAN WAITRESS CONVERTED MOST OF NE STATES PEOPLE INTO CHRISTIANITY FOR VOTE BANKS..

    THE NATIONAL PRAYER BREAKFAST PARTY WAS ACTIVELY INVOLVED.

    https://ajitvadakayil.blogspot.com/2019/12/national-prayer-breakfast-where-jesus.html

    capt ajit vadakayil
    ..
BELOW:   MALINITHAN TEMPLE ( DURGA ) IN ARUNACHAL PRADESH  IS 6000 YEARS OLD,  NOT 800 AS PER WIKIPEDIA PROPAGANDA  ..  LEGEND HAS IT THAT KRISHNA VISITED THIS TEMPLE WITH WIFE RUKMINI..



DEFINITIONS:
ILP /   INNER LINE PERMIT
CAB /   CITIZENSHIP AMENDMENT BILL
NRCNATIONAL REGISTER OF CITIZENS
NPR / NATIONAL POPULATION REGISTER 


NOTE CAB AFTER RESIDENTS SIGNATURE BECOMES CAA ( CITIZENSHIP AMENDMENT ACT  )

https://www.facebook.com/670490466309796/posts/4085974358094706/?sfnsn=scwspwa&extid=zz2m4ADcV4hQbfMt&d=w&vh=e


https://www.facebook.com/1256179071089700/posts/3636709513036632/?sfnsn=scwspwa&extid=fx3rJNbyNbQwny0Y&d=w&vh=e

NRC/ CAA IS NOT FOR INDIAN MUSLIMS

CAA IS ONLY FOR REFUGEES IN INDIA

CAA IS NOT FOR NEW REFUGEES

NPR HAS NOTHING TO DO WITH NRC


The National Population Register (NPR) is a database of the identities of all Indian residents, maintained by the Registrar General and Census Commissioner of India.  



I AM BEING RUSHED INTO PENNING THIS CRITICAL POST ..

YESTERDAY WE SAW THAT THE NE STATES OF INDIA WERE IN FLAMES..  ALL THESE RIOTS ARE TRIGGERED , FUNDED AND SPONSORED BY THE JEWISH DEEP STATE..

NOBODY KNOWS THAT THE ORIGINAL HINDU INDIANS WORSHIPING HINDU GODS VISHNU/ SHIVA/ DEVI IN OPIUM GROWING AREAS OF NE  , HAVE BEEN ETHNICALLY CLEANSED ( GENOCIDE ) 250 YEARS AGO BY JEW ROTHSCHILD .


THEY WERE REPLACED BY PEOPLE OF CRIMINAL DNA MIX FROM OUTSIDE INDIA..   

CHINESE HUNNAN , TIBET, MYANMAR ( HEAD HUNTERS WA TRIBE ) TRIBALS  OF MIXED BREED ( DELIBERATELY CREATED) WERE IMPORTED INTO OPIUM GROWING AREAS AND MADE TO SETTLE DOWN..  

THEY WERE USED TO PRODUCE AND GUARD THE OPIUM PRODUCING LAND.

ARUNACHAL PRADESH OPIUM IS THE FINEST ON THE PLANET..




WHO IS ROTHSCHILD?

THIS GERMAN JEW RULED INDIA..  

HE PRODUCED OPIUM IN INDIA AND SOLD IT IN CHINA .. 



ROTHSCHILD OWNED THE EAST INDIA SHIPPING COMPANY.. SOME OF THE OPIUM HE PRODUCED IN INDIA , HE SHIPPED TO CHINA FROM MUMBAI AND CALCUTTA , BY A LONG SEA ROUTE ..




ARUNACHAL PRADESH OPIUM WENT BY A SECRET OPIUM SMUGGLING ROUTE OVER LAND TO CHINA..  

THIS VERY SHORT AND EASY ALL WEATHER HIDDEN ROUTE IS STILL THERE..




There is an all weather ( free of snow ) easy road from Assam to China with a very short distance of only 400 km.

IMAGINE WHEN ROTHSCHILD SMUGGLED OPIUM TO CHINA, BENGAL REGIMENT WAS GUARDING THIS ROAD..  

THEY USED TO BE KILLED OFF AND THIS WAS THE MAJOR REASON FOR THE 1857 SEPOY MUTINY




  1. In the series El Chapo, EL Chapo also killed the workers and Engineers digging the secret tunnels he built... Just like the Bengal Regiment you mentioned..
    1. ALL DRUG CARTELS BURY MONEY UNDERGROUND IN PLASTIC TANKS..

      AFTER THE JOB IS DONE, BEFORE THEY CAN TALK TO THEIR FAMILY THEY ARE KILLED..
      THE BENGAL REGIMENT OF ROTHSCHILD WHO GUARDED THE SECRET OPIUM OVERLAND ROUTE KNEW THAT THEIR COLLEAGUES ARE GETTING KILLED ..


      THIS WAS THE REASON FOR THE 1857 SEPOY MUTINY-- NOT SOME PIG AND COW GREASE ON CARTRIDGES WE WERE TAUGHT IN NCERT SCHOOL TEXTS IN SCHOOL.
      THE FIRST LOCALLY RECRUITED BATTALION WAS RAISED BY THE EAST INDIA COMPANY IN 1757 AND BY THE START OF 1857 THERE WERE 74 REGIMENTS OF BENGAL NATIVE INFANTRY IN THE BENGAL ARMY.

      http://ajitvadakayil.blogspot.com/2011/07/back-swing-of-john-galt-capt-ajit.html

      DURING THE INDIAN MUTINY ALL BUT TWELVE OF THE SEVENTY-FOUR REGULAR BENGAL NATIVE INFANTRY REGIMENTS MUTINIED.. IT IS A SECRET THAT MOST WERE DISBANDED AND KILLED OFF.

      THE EXECUTIONS WERE CARRIED OUT EITHER BY HANGING, BY FIRING SQUAD OR BY BLOWING FROM A GUN.

      MUTINYING REGIMENTS OFFICIALLY CEASED TO EXIST AND THEIR PLACE IN THE ORDER OF PRECEDENCE OF THE BENGAL ARMY WAS TAKEN BY ANOTHER UNIT.

      34TH REGIMENT OF BENGAL NATIVE INFANTRY WHICH WAS DISBANDED ON 6 MAY 1857 AT BARRACKPORE FOLLOWING THE ACTIONS OF MANGAL PANDEY AND HIS EXECUTION FOR MUTINY SHORTLY BEFORE THE MAIN OUTBREAK.

      TWO REGIMENTS OF BNI (THE 65TH AND 70TH) WERE SERVING IN CHINA AT THE TIME OF THE OUTBREAK GUARDING THE SECRET OVERLAND ROUTE FROM ARUNACHAL PRADESH TO HUNNAN PROVINCE CHINA

      DURING THE 1857 MUTINY THE UNITED KINGDOM GOVERNMENT PASSED THE GOVERNMENT OF INDIA ACT 1858 WHICH ESTABLISHED THE BRITISH RAJ, BRINGING TO AN END COMPANY RULE IN INDIA ( SIC) BY STRIPPING THE EAST INDIA COMPANY OF ALL ITS ADMINISTRATIVE POWERS AND HANDING OVER CONTROL OF ITS INDIAN TERRITORIES AND ARMED FORCES TO THE BRITISH CROWN ( ON PAPER )- SIC SIC SIC

      THE TRUTH IS ROTHSCHILD STOPPED ALL PRETENSES OF BEING A PEPPER TRADER AND TOOK OVER INDIA AS ITS RULER ..

      capt ajit vadakayil
      ..

This hidden  road starts from Tinsukia in upper Assam and passes through Parasuram Kunda, Hailalyung, Walong and finally Kibithu, traversing a distance of some 300 km through hilly terrain befor it reaches Kaho town and then the border region between India and China in the Lohit river valley. After crossing the border, the road reaches ancient town of Rima in Yunnan province of China

On the Indian side, the road from Tinsukia to Kibithu is an all weather road free of snow. 

Only for about 3 Km length near the Line of Actual control (LAC) the road is broken off completely ( dynamited tunnels just before Indian Independence ). 

Beyond the border, China has already built an all-weather four-lane highway connected to the interior.

This route has another advantage. It does not enter Tibet at all, but Yunnan, which always has been an integral part of China.

Rothschild found an old route between Assam and China while exploring the Lohit Valley. This route was used by ancient smugglers and prostitutes. 

Sorry, no Buddhists Chinese travellers ever came this way.. 




Mughal Emperors knew this route..

Two biggest cities on this route were Tinsukia in India and Rima (which does not exist now) in China.

At present, only land route between India and China, known as Stilwell Road and connecting Ledo in Assam to Kunming in Yunnan province of China, traverses through 400 Km of dense jungles.




This secret route is very near the opium processing centers ( owned by Jew Rothschild ) of the golden triangle and was an easy exit for the opium trade.



THE OPIUM PRODUCING TRIBALS OF ARUNACHAL PRADESH ARE LOYAL TO CHINA, NOT INDIA..  THEY HELPED THE CHINESE ARMY IN THE 1962 WAR AND ARE AGENTS OF PLA .. 

THESE OPIUM GROWING TRIBALS OF ARUNACHAL PRADESH HAVE RELATIVES IN MYANMAR , CHINA HUNNAN AND TIBET..  

PROCESSED HARD DRUGS FROM CHINESE DRUG FACTORIES MYANMAR IS FLOWING BACK INTO INDIA AND WE DONT EVEN KNOW..   

LIKE GABBAR SINGH IN SHOLAY "HUMKO KUCHCH NAHIN PATHA" !

WHAT IS THE WORTH OF OUR SECURITY AGENCIES IF A BLOGGER HAS TO TELL ALL THIS IN 2019?    

OUR POTHOLE JOURNALISTS AND JUDGES ARE THE MOST PEA BRAINED ON THE PLANET.. 



EXAMPLE: Mishmi tribe of Arunachal Pradesh ( one of the Opium growing tribe)  have been selectively bred by Jew Rothschild using criminal DNA stock from Tibet, China and Mynmar.. 

https://en.wikipedia.org/wiki/Mishmi_people


  1. SOMEBODY ASKED ME

    HAS JEW ROTHSCHILD ETHNICALLY CLEANSD ORIGINAL HINDU PEOPLE AND REPLACED THEM WITH FOREIGNERS –LIKE IN OPIUM GROWING ARUNACHAL PRADESH AND NE STATES..

    IN NORTH SENTINEL ISLANDS AND ANDAMAN CHAIN, THE ORIGINAL PEOPLE WERE HINDUS .. I HAVE SEEN ALL ANDAMAN ISLANDS..

    NORTH SENTINEL ISLAND WAS ETHNICALLY CLEANSED AND REPLACED WITH A HEAD HUNTING TRIBE FROM PAPUA NEW GUINEA .. THEY ARE STILL THERE.. THESE PEOPLE ARE NOT SEA NAVIGATORS BY DNA..

    THE WHOLE IDEA WAS TO CEMENT ROTHSCHILDs “OUT OF AFRICA” BULLSHIT THEORY AND MAD MAN DARWINs EVOLUTION THEORY

    https://en.wikipedia.org/wiki/North_Sentinel_Island

    IN THIS DNA AGE OUR SCHOOL CHILDREN ARE STILL STUDYING MAD MAN CHARLES DARWINs THEORIES..

    http://ajitvadakayil.blogspot.com/2010/12/charles-darwin-and-his-apple-capt-ajit.html

    HUMAN LIFE BEGAN FROM NARMADA RIVER 65 MILLION YEARS AGO..WITH DNA FROM SHIVA LINGAM BLACK METEORITE STONES..

    https://ajitvadakayil.blogspot.com/2019/07/shiva-lingam-meterorite-hit-65-million.html

    AND THESE NEGROID PEOPLE ARE NO LONGER IN THE STONE AGE..

    WHEN MY SHIP WENT TO ANDAMANS - I SERVED ON A TIMBER CARRIER MV DIGLIPUR IN 1976.. WE WENT TO ALL ISLAND TO LOAD TIMBER EXCEPT SENTINEL ISLAND..

    THE TIMBER WAS SO HEAVY ( RED WOOD PADDOCK ) THAT THE LOGS WOULD SINK IN SALT WATER..SO THESE LOGS CAME ON RAFTS .. ELEPHANT GANDS WORKED ..

    BUCKINGHAM PALACE IS MADE OUT OF THIS STRONG WOOD..

    IN THOSE DAYS THE SENTINEL TRIBE HAD NO IRON..

    THEN A HUGE SHIP NAMED MV. PRIMROSE, RAN AGROUND IN A STORM ( NW OF SENTINEL ISLAND ) WHILE ON VOYAGE FROM BANGLADESH TO AUSTRALIA ON 2ND AUG 1981

    SINCE THEN THESE NEGRO PEOPLE HAVE HELPED THEMSELVES TO GOODIES.. THEIR ARROWS HAVE STEEL TIPS..

    SENTINEL ISLAND NEGROES HAVE THE SAME LOOKS AS ONGE TRIBE IN THE REST OF ANDAMANS..THIS VIDEO BELOW SHOWS ONGE TRIBE..

    https://www.youtube.com/watch?v=6XPriuvAwqk

    THERE WAS A RETIRED ANGLO INDIAN SHIP CAPTAIN NAMED CAPT BEALE IN ANDAMANS ( HE OWNED TUGS AND TOURIST BOATS ) WHO WAS THE DUFFERIN BATCHMATE OF MY SHIPSs ANGLO INDIAN CAPTAIN..

    SO I GOT TO GO ON VARIOUS ISLANDS ON CAPT BEALEs TUGS-- IT WAS DANGEROUS..WITH SO MANY SUBTRIBES LIKE JARAWAS, SHOMPEN , NICOBARESE ETC WHO ARE DOMESTICATED..BUT YOU NEVER KNOW , IF THEY LOVED HUMAN FLESH..

    CAPT BEALE HAD A WORKSHOP IN CALCUTTA, NAMED BEALEs MARINE.. THEY WOULD OVERHAUL OUR DERRICK CARGO BLOCKS IN A JIFFY..

    I KNOW ANDAMANS - IF I WANT I CAN WRITE A BOOK ABOUT IT.

    WE USED TO HAVE PICNICS IN VARIOUS ISLAND ..WE TOOK THE SHIPs LIFE BUOY WITH US.. WE WERE TREATED LIKE ROYALY, AS MV. DIGLIPUR BROUGHT ALL GENERAL STORES ( 100% ) FROM CHENNAI..

    INDIAN NAVY HELICOPTERS PLAYED TRICKS --DROPPING MUSIC SETS GIVING MUSIC.. AND THE MEN USED TO SHOOT ARROWS AT THE HELICOPTER..

    capt ajit vadakayil
    ..




Imagine for the ethnic cleansing of Arunachal Pradesh Hindu planning was done a century in advance like how Rothschild bred the Chitpavan Jews nay Brahmins  and Peshwas .  

German Jew Rothschild dumped a ship load of Bene Israel Jews from Kerala off the Konkan coast.. These white skinned Jews with pale eyes waded ashore and claimed to be ship wrecked.. 

Unlike the Parsis, these Bene Israel Jews mixed blood with the Indian stock.. 

These are the Chitpavan Brahmins like Tilak, Gokhale, Savarkar , Ranade etc.. The Chitpavan Jews were loyal to Jew Rothschild, not to Bharatmata.  

When the time was ripe, Rothschild disinherited Emperor Shahu’s sons and placed a Peshwa ( Kshatriya branch of fake Chitpavan Brahmins) as King.  

Emperor Shivaji was a Mahar.


 These Peshwas with Rothschild’s support ( funds/ arms / Mahar soldiers ) ran over the Moghul Empire..  Later the Peshwas just handed over the Mughal empire on a golden platter to Rothschild and retired.   

CHO CHWEEET APPA !

Today if you see any white skinned , pale eyed ( he must be mean and cunning ) person in Maharashtra , they have Jewish blood.  A lot of them are homosexuals .
The Mughal emperors after Humayun were Jews. 

This was done with white Jewish whores imported from Georgia/ Turkey who were skilled in  dirty deviant sex. They were trained in elite manners and ZE good life.. 


These Jewish whores addicted the Mughal Emperor with Arunachal Pradesh Opium laced with alcohol ( laudanum ) ..  Example:  Jewess Anarkali was fucking her husband Akbar and his son Jehangir  ( Salim) . She converted Jehangir ino a Opium drug addict..


German Jew Rothschild used the Jewess whore honey trap method to convert
AAA- Hindu Roman Emperors and Senators into Christian
BBB- Moghul Muslim Emperors into Jews
BBB – Ottoman Sultan Muslim Emperors into Jews ( last 70% Sultans were Jews )
CCC- British Royal bloodline into German Jew




China was planning to grab Arunachal Pradesh using the Doklam standoff. 

Capt Ajit Vadakayil showed President Xi and his side kick the editor of Global Times , Hu Xijin the mirror.




Donald Trump does not know that the SWAMP he plans to drain consists of the descendants of Opium agents of Jew Rothschild..  The Opium inside the tea cases of the BOSTON TEA PARTY was premium Arunachal Opium and Arunachal tea..


The richest Indian in 1947 were Opium Drug running agents of Jew Rothschild.. mainly the Parsis and Marwari Jews.


Kathiwari Jew Gandhi ensured that Rothschild’s opium production was not marred by strikes by farmers..



This is the Gujju No 1 Gandhi , our Gujju No 2 Modi praises every day since he sat on the PM chair.

When India Opium farmers did not play ball, they were shipped off overseas as slaves..


Amartya Sen with a Rothschild wife does the whitewashing..



Tagore’s grandfather Pir Ali Muslim Dwaraknath was a Opium drug running partner of Jew Rothschild..   

Dwaraknath Tagore also owned the biggest whorehouse on the planet at Sonagachi Calcutta, using young boys and girl who were not yet in their teens..


The white British Soldiers loved to serve in India as they could screw Indian girls after their first menses ( age range 12 to 14 ).   Today Western girls get first menses at the age of 9..


Pir Ali Muslim Raja Ram Mohan Roy was an opium factory employee ( Rangpur ) of Rothschild.


How come Tagore and Ram Mohan Roy became Muslims?

Rothschild hit the naïve Mughal Emperors from within using his Indian accountants.



The pea brained Indian mainstream media and the debators who came on TV yesterday did not know what is ILP/ CAB/ NRC. And so did the MPs in Lok Sabha and Rajya Sabha..

The Citizenship (Amendment) Bill, 2019 (CAB) is a bill amending the Citizenship Act of 1955 to make illegal migrants who are Hindus, Sikhs, Buddhists, Jains, Parsis and Christians from Afghanistan, Bangladesh and Pakistan, who entered India on or before 31 December 2014, eligible for Indian citizenship. It also seeks to relax the requirement of residence in India for citizenship by naturalisation from 11 years to 5 years for these migrants

The primary opposition to the Bill is that it makes illegal migrants eligible for citizenship on the basis of religion, which critics say violates the spirit of equality guaranteed under Article 14 of the Indian Constitution.

SORRY— ARTCLE 14 IS FOR LAW ABIDING INDIAN CITIZENS— NOT CRIMINAL DNA MUSLIM ROHINGYA ILLEGAL IMMIGRANTS.. OUR JUDGES ARE STUPID.




Below : Law Minister Ravi Shankar Prasad ( instead of doing his job, he is moaning ) is showing the Original Constitution of India ( which just had fifty odd page's.  Congress in the last six decades made many changes to the basic contours of our Constitution in order to strengthen their pseudo secular liberal politics of Appeasing certain sections of the country. That's how their vote bank politics gained strength

For six decades they had brute majority in both the lower and upper house and thus succeeded in changing the laws to suit their vote bank politics. The Original Constitution was Secular in nature but acknowledged the fact that Hinduism is the soul of India.

Every page of the Constitution had paintings of Ramayana Mahabharata in the background. The word Secularism was never written in our Constitution. The words Socialist and Secularism were surreptitiously inserted by Indira Gandhi in the mid 1970s.

Congress got hundreds of amendments in the Original Constitution to strengthen their policy of appeasement. At every given  opportunity they indulged in naked and aggressive Vote Bank Politics.

Watch the video in order to understand the dubious Secular credentials of Congress. They first amend the constitution and used it to suppress Hindu Majority. India is perhaps the only Country where the majority population is forced to survive on the whims of Minorities.



  1. https://timesofindia.indiatimes.com/india/insidious-cab-will-wreck-statute-fail-court-test-p-chidamabaram/articleshow/72482822.cms

    CHID BABY , APPIDIYAAAA?.. ..

    WE PLAN TO CREATE MILITARY COURTS AND HANG THE JUDGES WHO HAVE USED ILLEGAL JUDICIAL REVIEW TO UNDERMINE INDIAs DEMOCRACY BY JUDICIAL REVIEW....

    ILLEGAL COLLEGIUM JUDICIARY CREATED THE NAXAL RED CORRIDOR AND CAUSED ETHNIC CLEANSING OF KASHMIRI PANDITS..

    WE WILL PUNISH BENAMI MEDIA AND SOME UPA POLITICIANS IN THE PAYROLL OF THE DEEP STATE..

    THE CAB BILL WAS PASSED BY BOTH HOUSES OF THE PARLIAMENT.. AFTER PRESIDENT SIGNS IT, THE ILLEGAL COLLEGIUM JUDICARY WILL SIT IN REVIEW LIKE GODS..


    ALL THESE JUDGES ARE ALLOWED TO DO IS TO INTERPRET LAWS..


    THESE JUDGES ARE NOT EMPOWERED TO DO JUDICAL REVIEW OF LAWS PASSED BY THE PARLIAMENT....

    THESE STUPID JUDGES DO NOT KNOW THAT OUR CONSTITUTION PROTECTS ONLY LAW ABIDING INDIAN CITIZENS..

    OUR CONSTITUTION DOES NOT PROTECT TRAITOR INDIAN CITIZENS, ILLEGAL MUSLIM ROHINGYA IMMIGRANTS OR ANY ANIMAL EVEN IF IT IS INDIAN...


    WE ASK MODI TO IMMEDIATELY BAN STARE DECICIS, WHERE PAST STUPID JUDGEMENTS OF JUDICIARY SANS CONTEXT ARE USED AS A LANGOT – NAY—ADDENDUM TO THE CONSTITUTION...


    THE NJAC BILL WAS PASSED UNANIMOUSLY BY BOTH LOK SABHA AND RAJYA SABHA WITH PRESIDENT SIGNING THE LAW.. YET ILLEGAL COLLEGIUM JUDICIARY USED A UNCONSTITUTIONAL JUDICIAL REVIEW PROCESS AND STRUCK IT DOWN...

    JUDICIAL REVIEW EMPOWERS THE ILLEGAL COLLEGIUM JUDICIARY TO DECIDE THE FATE OF LAWS PASSED BY THE ELECTED AND ACCOUNTABLE LEGISTLATURE WHICH REPRESENTS THE SOVEREIGN WILL OF THE PEOPLE...

    JUDGES DO NOT KNOW THAT THE CONSTITUTION EMPOWERS PRESIDENT AND STATE GOVERNORS WITH ENORMOUS SUBJECTIVE AND DISCRETIONARY POWERS TO SUSTAIN DHARMA ( NOT BLIND JUSTICE )…


    WE THE PEOPLE WARN THE ELECTED EXECUTIVE— JUDICIAL REVIEW IS AN UNDEMOCRATIC SYSTEM AND IT IS DANGEROUS TO THE WATAN WHEN COLLEGIUM JUDGES ARE CONTROLLED BY THE DEEP STATE..


    THE SUPREME COURT IS ITSELF BOUND BY THE CONSTITUTION OF INDIA AND THE PARLIAMENT CAN AMEND THE CONSTITUTION ANY TIME THEY WANT..WE THE PEOPLE ARE ABOVE THE CONSTITUTION..

    THE CONSTITUTION CAN NEVER BE USED TO STAITJACKET WE THE PEOPLE, THE WATAN OR DHARMA..THE SUPREME COURT IS ITSELF BOUND BY THE CONSTITUTION OF INDIA AND THE PARLIAMENT CAN AMEND THE CONSTITUTION ANY TIME THEY WANT..

    TODAY DESH DROHI COLLEGIUM JUDGES IN DEEP STATE PAYROLL ARE QUOTING ARTICLE 14 TO ALLOW ROHINGYA MUSLIMS INTO INDIA , AND GIVEN INDIAN CITIZENSHIP.
    SORRY, OUR CONSTITUTION APPLIES ONLY TO LAW ABIDING INDIAN CITIZENS..

    THE NJAC BILL WAS PASSED UNANIMOUSLY BY BOTH LOK SABHA AND RAJYA SABHA WITH PRESIDENT SIGNING THE LAW.. YET ILLEGAL COLLEGIUM JUDICIARY USED A JUDICIAL REVIEW PROCESS AND STRUCK IT DOWN..

    JUSTICES J. S. KHEHAR, MADAN LOKUR, KURIAN JOSEPH AND ADARSH KUMAR GOEL HAD DECLARED THE 99TH AMENDMENT AND NJAC ACT UNCONSTITUTIONAL .. THESE FOUR JUDGES AND EX-CJI CL DATTU MUST BE TRIED BY THE MILITARY COURT FOR SEDITION…

    capt ajit vadakayil..'

The National Register of Citizens, ( NRC ) the process of which has been recently completed in Assam, looks to remove illegal immigrants from India.  

The NRC is a register maintained by the Government of India containing names & certain relevant information for identification of Indian citizens of the Assam state.. However, on 20th November 2019, Home Minister Mr. Amit Shah declared during a parliamentary session that the register would be extended to the entire country.

According to NRC, a person, to be eligible to be a citizen, would have to prove that either they or their ancestors were in India on or before March 24, 1971, the eve of the Bangladesh War. The war of liberation had begun in Bangladesh the next day, which sent thousands of refugees to India.

The Centre would be extending the NRC process to the rest of India.

THE NRC HAS NOTHING TO DO WITH RELIGION, WHEREAS, THE CAB IS BASED ON SOME FAITHS.

INDIA HAS OFFERED CITIZENSHIP TO TAREK FATAH AND TASLIMA NASRIN  ..  BUT THEY WERE AFRAID OF ILLEGAL IMMIGRANT MUSLIM ASSASSINS IN INDIA, AND HENCE TOOK CITIZENSHIP OF FAR AWAY AND SAFER NATIONS CANADA AND SWEDEN RESPECTIVELY

INDIA WILL NOT TAKE IN CRIMINAL DNA ROHINGYA MUSLIMS -- THEY DONT BELONG TO INDIAN STOCK..

NRC was aimed at deportation of illegal immigrants irrespective of their religions, the CAB is likely to benefit non-Muslim migrants

The BJP has claimed that the CAB will assist those left out of the final NRC.

The North East Students' Organisation (NESO) comprising of all student organisations of Assam, Arunachal Pradesh, Meghalaya, Mizoram, Manipur and Tripura, has been long demanding that the entire region be exempted from CAB

OPIUM GROWING NON-HINDU TRIBES ( WHO HAVE NO LOYALTIES TO BHARATMATA ) DO NOT WANT OUTSIDERS ( INDIAN PATRIOTS ) EYES CHECKING WHAT THEY DO..


Inner Line Permit (ILP) is an official travel document issued by the Government of India to allow inward travel of an Indian citizen into a protected area in NE states  for a limited period.  It is obligatory for Indian citizens from outside those states to obtain a permit for entering into the protected state. 

The document is an effort by the government to regulate movement to certain areas located near the international border of India to China . This is an offshoot of the Bengal Eastern Frontier Regulations, 1873 created by Jew Rothschild. which protected his interest in growing opium by prohibiting others from entering into these "criminal Protected Areas"

Rothschild introduced ILP by a Bengal Eastern Frontier Regulation Act of 1873 to safeguard his business interest in opium.  The  Indian Government replaced it in 1950 as a law to protect tribal culture ( sic) and their land.  What culture? These are criminal DNA tribes who are not of Indian bloodstock..

Inner Line Permit is not the same as Restricted Area Permit or Protected Area Permit, which are official travel documents to protect the integrity of India

Nowadays ILP's valid for tourism purposes are granted as a matter of routine

There are also ongoing demands for the introduction of ILP in Meghalaya, .illegal immigration from Bangladesh, Nepal and Myanmar has contributed to the crisis.

The inclusion of Manipur in Inner Line Permit was announced in 10 December 2019. .

Currently, the Inner Line Permit is operational in Arunachal Pradesh, Mizoram and Nagaland.—and now Manipur..

The Foreigners (Protected Areas) Order 1958 states that a Protected Area Permit (PAP) is required for non-Indian citizens to visit certain areas in India (mainly in the North-East).  Certain requirements have to be fulfilled in order to get this permit.

 Indian citizens who are not resident in these areas need an Inner Line Permit (ILP) to enter these places. The Inner Line Permit is significantly easier to get.

OPIUM GROWING TRIBES WERE SELECTIVELY BRED BY JEW ROTHSCHILD.. THEY HAVE NO LOYALTIES TO THE WATAN.. THERE ARE CRIMINAL TRIBES.

LIKEWISE CRIMINAL CLAN BISHNOIS WERE SELECTIVELY BRED BY JEW ROTHSCHILD FOR HIS OPIUM BUSINESS.. THEY GOT SPECIAL PROTECTION AS SCHEDULED TRIBES.



 People in Arunachal Pradesh extract opium in a unique way by lancing poppy pods with blades and collecting the viscous fluid on a fabric made of nettles.








BEFORE THE WHITE INVADER CAME TO INDIA THERE WAS NOT A SINGLE  OPIUM PLANT IN ARUNACHAL PRADESH..

THE FIRST OPIUM  IN ARUNACHAL PRADESH WAS PLANTED BY JEW ROTHSCHILDs AGENTS, TO ENSURE THAT DRUG CULTIVATION CAN GO UNDETECTED AND UNHINDERED.

IF YOU WATCH THE NETFLIX SERIA NARCOS MEXICO, THE JEWISH DEEP STATE PLANTED GMO SEEDLESS MARIJUANA IN MEXICO FOR EXPORT TO USA ..  THERE WAS A DEDICATED TOWNSHIP FOR WORKERS , WHO WERE NOT LOCAL MEXICANS..

THE PLANETs NO 1 DRUG CARTEL LORD IS NOT PABLO ESCOBAR OR EL CHAPO – IT IS GERMAN JEW ROTHSCHILD .. HE WAS SUPPORTED BY BRITISH ROYALTY AND HOUSE OF LORDS ..


Opium, comes from the poppy plant, scientifically known as Papaver Somniferum (somniferum literally means ‘I bring sleep’). It is a physiological and psychological depressor, bringing a sense of calm and well-being to the user. 

Most of the illegal opium produced in India goes to Myanmar, through the border with Arunachal. The market in Myanmar is controlled by Chinese drug mafia. 

They refine the opium, and send back cheap ‘brown sugar’, which has paralyzed the youth in the borders states, in a stupor of false security.  For some strange reason Opium and gun running are synonymous..  The insurgency in NE states are due to this.

Many NGOs operating in NE states are double agents.. wolves in sheep's clothing .. Police/ Judges/ Politicians sponsor them for bribes..

Illegal Bangladesi immigrats have fled NE states are are now all over India as vote banks .. 

They come out at night for street crimes like sntaching mobile phones.. A big percentage work as uniformed security guards for builder mafia.

INDIA MUST USE SATELLITE TECHNOLOGY TO MAP OPIUM CULTIVATION IN ARUNACHAL PRADESH-- AND SNUFF IT OUT SO THAT CHINA LOSES INTEREST 


BELOW: OPIUM IS THE REASON WHY THE ENTIRE NE WAS FERTILE GROUND FOR CHRISTIAN EVANGELISTS ..  

LAB VIRUSES WERE DELIBERATELY INTRODUCED AND WHEN PEOPLE FELL SICK THEY WERE CURED BY WHITE SKINNED MISSIONARIES WITH LAB ANTIDOTE VACCINES , PROVIDED THEY CONVERTED TO CHRISTIANITY WITH FAMILY..



THERE IS NO POLITICAL WILL TO SNUFF OUT HARD DRUGS IN INDIA.

CANNABIS / MARIJUANA , UNLIKE OPIUM IS NON ADDICTIVE AND IS A NATIONAL RESOURCE.




BELOW: CHINA IS DESPERATE FOR A SUBMARINE BASE IN BAY OF BENGAL..  ALL DRUGS /GUNS INSURGENCY ON THIS EXIT ROUTE VIA MYANMAR IS CONTROLLED FROM  CHINA

MASS DRUGGING OF POPULATION ,  ON LAND TO BE RUN OVER IN FUTURE DURING WAR, IS ROTHSCHILDs SIGNATURE..  


For the landlocked China Yunnan terrain, securing access to the Indian Ocean through Myanmar as a land bridge is important for acquisition of trading routes as well as for security.

This is China’s second strategic interest in Myanmar, and two routes have been envisaged. One route will be created by constructing roads/railways to connect Ruili (its counterpart on the Myanmar side is called “Muse.”), a border town in Yunnan; Kyaukphyu of Rakhine State; and the deep-sea port near Kyaukphyu.


The other route will be created by constructing a river port on Bhamo in Kachin State, from which the Irrawaddy River will lead to the Yangon and Thilawa ports. On April 27, 2011, the China Railways Engineering Corporation and Myanmar Union Ministry of Rail Transportation signed a memorandum of understanding for the construction of a railway from Muse to Kyaukpyu. 

The concept of using Myanmar as a land bridge is part of China’s two-ocean strategy to gain access to the Indian Ocean.  China is situated in a bad location of the planet when it comes to war strategy--while India has the best.












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MAKE YOU COMMENTS IN THE LINK BELOW..(PART TEN OF AI SERIES )

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THIS POST IS NOW CONTINUED TO PART 2, BELOW--







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WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 12 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 11, BELOW—

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OBJECTIVE AI CANNOT HAVE A VISION, IT CANNOT PRIORITIZE,  IT CANT GLEAN CONTEXT,  IT CANT TELL THE MORAL OF A STORY , IT CANT RECOGNIZE A JOKE,  IT CANT DRIVE CHANGE,   IT CANNOT INNOVATE, IT CANNOT DO ROOT CAUSE ANALYSIS , IT CANNOT DO DYNAMIC RISK ASSESSMENT , IT CANNOT SELF IMPROVE WITH EXPERIENCE,  IT DOES NOT UNDERSTAND BASICS OF CAUSE AND EFFECT, IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,  IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,   IT CANNOT EVEN SET A GOAL …  IT CAN SPAWN GLOBAL FRAUD WITH DELIBERATE BLACK BOX ALGORITHMS,  JUST FEW AMONG MORE THAN 40 CRITICAL INHERENT DEFICIENCIES.



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https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do_29.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_4.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_25.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_88.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_15.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_94.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_1.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do.html



Anomaly detection is a technique used to identify unusual patterns that do not conform to expected behavior, called outliers

Anomaly detection (or outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data.

Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances. It is often used in preprocessing to remove anomalous data from the dataset.

Anomaly Detection is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations. Such “anomalous” behaviour typically translates to some kind of a problem like a credit card fraud, failing machine in a server, a cyber attack, etc.

Conventionally, businesses use fixed set of thresholds to identify metrics that cross the threshold, to mark them as anomalies.

An anomaly can be broadly categorized into three categories –

Point Anomaly: A tuple in a dataset is said to be a Point Anomaly if it is far off from the rest of the data.
Contextual Anomaly: An observation is a Contextual Anomaly if it is an anomaly because of the context of the observation.
Collective Anomaly: A set of data instances help in finding an anomaly.


It can be done in the following ways – 


Supervised Anomaly Detection: This method requires a labeled dataset containing both normal and anomalous samples to construct a predictive model to classify future data points. The most commonly used algorithms for this purpose are supervised Neural Networks, Support Vector Machine learning, K-Nearest Neighbors Classifier, etc.


Unsupervised Anomaly Detection: This method does require any training data and instead assumes two things about the data ie Only a small percentage of data is anomalous and Any anomaly is statistically different from the normal samples. Based on the above assumptions, the data is then clustered using a similarity measure and the data points which are far off from the cluster are considered to be anomalies.  .  

Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances that seem to fit least to the remainder of the data set.

Since detecting anomalies is a fairly generic task, a number of different machine learning algorithms have been created to tailor the process to specific use cases.

Here are a few common types:--

Detecting suspicious activity in a time series, for example a log file. Here, the dimension of time plays a huge role in the data analysis to determine what is considered a deviation from normal patterns.
Detecting credit card fraud based on a feed of transactions in a labeled dataset of historical frauds. In this type of supervised learning problem, we can train a classifier to classify a transaction as anomalous or fraudulent given that we have a historical dataset of known transactions, authentic and fraudulent.
Detecting a rare and unique combination of a real estate asset’s attributes — for instance, an apartment building from a certain vintage year and a rare unit mix. At Skyline AI, we use these kinds of anomalies to capture interesting rent growth correlations and track down interesting properties for investment.

An anomaly is an extremely rare episode, hard to assign to a specific class, and hard to predict. It is an unexpected event, unclassifiable with current knowledge. It's one of the hardest use cases to crack in data science because:

The current knowledge is not enough to define a class.  More often than not, no examples are available in the data to describe the anomaly

So, the problem of anomaly detection can be easily summarized as looking for an unexpected, abnormal event of which we know nothing and for which we have no data examples. As hopeless as this may seem, it is not an uncommon use case.

Fraudulent transactions, for example, rarely happen and often occur in an unexpected modality
Expensive mechanical pieces in IoT will break at some point without much indication on how they will break

A new arrhythmic heart beat with an unrecognizable shape sometimes shows up in ECG tracks
A cybersecurity threat might appear and not be easily recognized because it has never been seen before

Anomaly detection is a monitoring mechanism, in which a system keeps an eye on important key metrics of the business, and alerts users whenever there is a deviation from normal behavior. 

Conventionally, businesses use fixed set of thresholds to identify metrics that cross the threshold, to mark them as anomalies. However, this method is reactive in nature, which means by the time businesses recognize threshold violations, the damage caused would have amplified multi-fold. What is needed, is a system that constantly monitors data streams for anomalous behavior, and alert users in real-time to facilitate timely action.

Anomaly detection algorithms are capable of analyzing huge volumes of historical data to establish a ‘Normal’ range, and raising red flags when outliers are seen to be deviating from the tolerable range.

A good anomaly detection system should be able to perform the following tasks:--

Identification of signal type and select appropriate model
Forecasting thresholds
Anomaly identification and scoring
Finding root cause by correlating various identified anomalies
Obtaining feedback from users to check quality of anomaly detection
Re-training of the model with new data


Anomalies are identified whenever a particular metric moves beyond the specified threshold. However, it is important to quantify the magnitude of deviation of the anomaly, in order to prioritize which anomaly needs to be investigated/solved first. In the scoring phase, each anomaly is scored as per the magnitude of deviation from median or based on how long the deviated metric sustains from normal behavior. Larger the deviation, higher the score.

Anomaly detection systems are usually designed around tight bounds to highlight deviation quickly, but in the process sometimes these systems raise many false alarms. In fact, false positives is known to be one of the prevalent issues in the area of anomaly detection. 

One cannot underrate the flexibility that needs to be provided to end user, to change the status of a data point from anomaly to normal. After receiving this feedback, models needed to be updated/retrained to avoid identified false positives from recurring.

The system needs to re-train on new data continuously, to adapt as per the newer trends. It is possible that the pattern itself does change due to the change in operating environment, rather than anomalous deviating behavior. However, there should be a balance in the mechanism. Updating the model too frequently requires excessive amount of computational resources, and lower frequency of updating results in a deviation of the model from the actual trend.

Overall, anomaly detection is gaining increased importance in recent years, due to exponential growth of available data, and the absence of impactful mechanisms to use this data. Anomaly detection systems are better fit in identifying significant deviations, and at the same time ignoring the not worthy noises from the ocean of data — enabling business with the right alarms and insights at the right time.

AI and ML have made it a bit easier to detect the proliferation of malware and identify early on in the lifecycle if a file/resource is showing signs of belligerent behaviour. This level of automation has been possible with pattern detection, behaviour-based anomaly detection and advanced use of heuristics – all based on Machine-learned solutions – to keep the intruders out.

Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances. It is often used in preprocessing to remove anomalous data from the dataset. The most simple, and maybe the best approach to start with, is using static rules. 

The Idea is to identify a list of known anomalies and then write rules to detect those anomalies. Rules identification is done by a domain expert, by using pattern mining techniques, or a by combination of both. Unsupervised machine learning algorithms, however, learn what normal is, and then apply a statistical test to determine if a specific data point is an anomaly. 

A system based on this kind of anomaly detection technique is able to detect any type of anomaly, including ones which have never been seen before. Anomaly detection is the process of identifying unexpected items or events in datasets, which differ from the norm. ... 

By publishing the source code and the datasets, this paper aims to be a new well-funded basis for unsupervised anomaly detection researchA statistical anomaly occurs when something falls out of normal range for one group, but not as a result of being in that group

Anomalies are problems that can occur in poorly planned, un-normalised databases where all the data is stored in one table (a flat-file database). Insertion Anomaly - The nature of a database may be such that it is not possible to add a required piece of data unless another piece of unavailable data is also added

In particular, in the context of abuse and network intrusion detection, the interesting objects are often not rare objects, but unexpected bursts in activity. This pattern does not adhere to the common statistical definition of an outlier as a rare object, and many outlier detection methods (in particular unsupervised methods) will fail on such data, unless it has been aggregated appropriately. Instead, a cluster analysis algorithm may be able to detect the micro clusters formed by these patterns.

Anomaly detection is one AI approach in particular that could help banks identify fraudulent transactions and transfers. With predictive analytics, banks could both detect fraud and score transactions by risk level based on a wider range of customer data.

Teradata is an AI firm selling fraud detection solutions to banks. They claim their machine learning platform can enhance banking fraud detection by helping their data analytics software recognize potential fraud cases while avoiding acceptable deviations from the norm. In other cases, these deviations may be flagged and end up as false positives that offer the system feedback to “learn” from its mistakes.

They were able to:--

Reduce their false positives by 60% and were expected to reach 80% as the machine learning model continued to learn.
Increase detection of real fraud by 50%
Refocus their time and resources toward actual cases of fraud and identifying new fraud methods.

Machine learning models for fraud detection can also be used to develop predictive and prescriptive analytics software. Predictive analytics offers a distinct method of fraud detection by analyzing data with a pre-trained algorithm to score a transaction on its fraud riskiness.

Prescriptive analytics takes the predictions made from the correlations of a predictive analytics engine and uses it to provide recommendations for what to do once fraud is detected.

Both predictive and prescriptive analytics software require the same data and training to implement. Banking data experts or data scientists employed by the client bank will need to label a high volume of transactions as either fraudulent or legitimate, and then run all of them though the machine learning model. This allows the machine learning model to be able to recognize fraud methods used in the fraudulent transactions.

Defenses Against Data Poisoning--
Similar to evasion attacks, when it comes to defenses, we’re in a hard spot. Methods exist but none guarantee robustness in 100% of cases.
The most common type of defenses is outlier detection, also knows as “data sanitization” and “anomaly detection”. The idea is simple — when poisoning a machine learning system the attacker is by definition injecting something into the training pool that is very different to what it should include — and hence we should be able to detect that.
The challenge is quantifying “very”. Sometimes the poison injected is indeed from a different data distribution and can be easily isolated:

An interesting twist on anomaly detection is micromodels. The Micromodels defense was proposed for cleaning training data for network intrusion detectors. The defense trains classifiers on non-overlapping epochs of the training set (micromodels) and evaluates them on the training set. 

By using a majority voting of the micromodels, training instances are marked as either safe or suspicious. Intuition is that attacks have relatively low duration and they could only affect a few micromodels at a time.

Anomaly detection has been used in predictive analytics now for several years. By analyzing the data, this function pinpoints activities outside the normal operations and expectations, whether those activities were good or bad.

By building upon the foundation of anomaly detection, contribution analysis provides you with the context in which an activity occurred. It will investigate the anomaly and analyze the data, which affords you with the actionable areas on which to focus your efforts. Scientists from Google’s health-tech subsidiary have pioneered innovative ways of creating revolutionary healthcare insights through artificial intelligence prediction algorithms.










WHAT IS "DEATH BY ALGORITHM "?


IT IS THE BLATANT MISUSE OF ARTIFICIAL INTELLIGENCE .. PALESTINIANS  HAVE BEEN AT THE RECEIVING END ..

On balakot night Indian airforce shot down their own helicopter .. the blame was squarely put of automation gone awry..

Deliberate economic crashes are now blamed on ai algorithms.. A “flash crash” had occurred in 2010, during which the market went into freefall for five traumatic minutes, then righted itself over another five – for no apparent reason.

But what is an algorithm? In fact, the usage has changed in interesting ways since the rise of the internet – and search engines in particular – in the mid-1990s. At root, an algorithm is a small, simple thing; a rule used to automate the treatment of a piece of data. If a happens, then do b; if not, then do c. This is the “if/then/else” logic of classical computing.

When ai automation is first tried out,, it is first used on denizens of third world nations.. In this aircraft humans could not veto automation and take over the control to manual..


We must ban Lethal autonomous weapons (LAWS) –using AI  technology to replace the humans with an algorithm that makes the decision of when to shoot or whom to shoot.

Millions of inncocent women and children were killed from the air in Libya/ Iraq/ Syria/ yemen..  the un turns a nelsons’s eye because jews are not killed this way..

As early as  2007, Noel Sharkey published a dire warning in The Guardian titled “Robot Wars Are a Reality.” An expert in artificial intelligence and robotics, Sharkey expressed concern about the use of battlefield robots; electronic soldiers that act independently of any human control.

Sharkey argued that we “are sleepwalking into a brave new world where robots decide who and when to kill.” 

War is no longer fought primarily on the battlefield. Developments in computing, cyber warfare and artificial intelligence, have changed the way nations and non-state actors engage in hostilities. 

Technologies which enable point and shoot (or click) destruction are growing exponentially year by year, fuelled by a digital revolution that has ricocheted across the globe. Nations have realized that today’s conflicts are waged by 1s and 0s, and that algorithms can be trusted allies in the never ending war. It is now essential for the world to grasp the reality that robot wars are no longer just the fictive imaginings of science fiction..

Can robots and drones be programmed to comply with international human rights law? Since computers are susceptible to viruses and hacking, it is also feasible to assume that the systems which control killer robots could be overtaken by state and non-state actors.


The 18th of March 2018, was the day tech insiders had been dreading. That night, a new moon added almost no light to a poorly lit four-lane road in Tempe, Arizona, as a specially adapted Uber Volvo XC90 detected an object ahead.

 Part of the modern gold rush to develop self-driving vehicles, the SUV had been driving autonomously, with no input from its human backup driver, for 19 minutes. An array of radar and light-emitting lidar sensors allowed onboard algorithms to calculate that, given their host vehicle’s steady speed of 43mph, the object was six seconds away – assuming it remained stationary. 

But objects in roads seldom remain stationary, so more algorithms crawled a database of recognizable mechanical and biological entities, searching for a fit from which this one’s likely behavior could be inferred.

At first the computer drew a blank; seconds later, it decided it was dealing with another car, expecting it to drive away and require no special action. Only at the last second was a clear identification found – a woman with a bike, shopping bags hanging confusingly from handlebars, doubtless assuming the Volvo would route around her as any ordinary vehicle would. 

Barred from taking evasive action on its own, the computer abruptly handed control back to its human master, but the master wasn’t paying attention. Elaine Herzberg, aged 49, was struck and killed, leaving more reflective members of the tech community with two uncomfortable questions: was this algorithmic tragedy inevitable? And how used to such incidents would we, should we, be prepared to get?

When some embedded software experts spent 20 months digging into the code were they able to prove the family’s case, revealing a twisted mass of what programmers call “spaghetti code”, full of algorithms that jostled and fought, generating anomalous, unpredictable output. 


The autonomous cars currently being tested may contain 100m lines of code and, given that no programmer can anticipate all possible circumstances on a real-world road, they have to learn and receive constant updates. How do we avoid clashes in such a fluid code milieu, not least when the algorithms may also have to defend themselves from hackers?

In some ways we’ve lost agency. When programs pass into code and code passes into algorithms and then algorithms start to create new algorithms, it gets farther and farther from human agency. Software is released into a code universe which no one can fully understand..


At core, computer programs are bundles of such algorithms. Recipes for treating data. On the micro level, nothing could be simpler. If computers appear to be performing magic, it’s because they are fast, not intelligent.


Recent years have seen a more portentous and ambiguous meaning emerge, with the word “algorithm” taken to mean any large, complex decision-making software system; any means of taking an array of input – of data – and assessing it quickly, according to a given set of criteria (or “rules”). This has revolutionized areas of medicine, science, transport, communication, making it easy to understand the utopian view of computing that held sway for many years.

f we tend to discuss algorithms in almost biblical terms, as independent entities with lives of their own, it’s because we have been encouraged to think of them in this way. Corporations like Facebook and Google have sold and defended their algorithms on the promise of objectivity, an ability to weigh a set of conditions with mathematical detachment and absence of fuzzy emotion. No wonder such algorithmic decision-making has spread to the granting of loans/ bail/benefits/college places/job interviews and almost anything requiring choice.

far from eradicating human biases, algorithms could magnify and entrench them. After all, software is written by overwhelmingly affluent white men – and it will inevitably reflect their assumptions ..Bias doesn’t require malice to become harm, and unlike a human being, we can’t easily ask an algorithmic gatekeeper to explain its decision..


Big companies like Google “algorithmic audits” of any systems directly affecting the public, a sensible idea that the tech industry will fight tooth and nail, because algorithms are what the companies sell; the last thing they will volunteer is transparency.

We might call these algorithms “dumb”, in the sense that they’re doing their jobs according to parameters defined by humans. The quality of result depends on the thought and skill ( and human biases like with Palestinians and roma gypsies ) with which they were programmed.

At the other end of the spectrum is the more or less distant dream of human-like artificial general intelligence, or AGI. A properly intelligent machine would be able to question the quality of its own calculations, based on something like our own intuition (which we might think of as a broad accumulation of experience and knowledge). 

To put this into perspective, Google’s DeepMind division has been lauded for creating a program capable of mastering arcade games, starting with nothing more than an instruction to aim for the highest possible score.




https://www.vox.com/2019/6/21/18691459/killer-robots-lethal-autonomous-weapons-ai-war


Currently, the use of multiple UAVs in drone swarms is garnering huge interest from the research community, leading to the exploration of topics such as UAV cooperation, multi-drone autonomous navigation, etc.

Researchers have been working on UAV pursuit-evasion based on two probable approaches.  Researchers propose the use of vision-based deep learning object detection and reinforcement learning for detecting and tracking a UAV (target or leader) by another UAV (tracker or follower).

The proposed framework uses vision data captured by a UAV and deep learning to detect and follow another UAV. The algorithm is divided into two parts, the detection of the target UAV and the control of UAV navigation (follower UAV). The deep reinforcement learning approach uses a deep convolutional neural network (CNN) to extract the target pose based on the previous pose and the current frame.

The network works like a Q-learning algorithm. The output is a probabilistic distribution between a set of possible actions such as translation, resizing (e.g., when a target is moving away), or stopping. For each frame from the captured sequence, the algorithm iterates over its predictions until the network predicts a “stop” when the target is within the desired position.

Q-learning is a model-free reinforcement learning algorithm. The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances. It does not require a model (hence the connotation "model-free") of the environment, and it can handle problems with stochastic transitions and rewards, without requiring adaptations.


Q-learning algorithm involves an agent, a set of states and a set of actions per state. It uses Q-values and randomness at some rate to decide which action to take.


The second approach uses deep learning object detection for the detection and tracking of a UAV in a pursuit-evasion scenario. The deep object detection approach uses images captured by a UAV to detect and follow another UAV. This approach uses historical detection data from a set of image sequences and inputs this data to a SAP algorithm in order to locate the area with a high probability UAV presence.

The proposed framework uses images captured by a UAV and a deep learning network to detect and follow another UAV in a pursuit-evasion scenario. The position of the detected target UAV (detected bounding box) is sent to a high-level controller that decides on the controls to send to the follower UAV to keep the target close to the centre of its image frame.

In this work, researchers aim to develop architecture capable of tracking moving targets using predictions over time from a sequence of previously captured frames. The proposed algorithm tracks the target and moves a bounding box according to each movement prediction. The architecture is based on an ADNet (action-decision network).

This work presents two approaches for UAV pursuit-evasion. The obtained results show that the proposed approach is effective in tracking moving objects in complex outdoor scenarios.

.SAP improved the detection of distant UAVs. The obtained results demonstrate the efficiency of the proposed algorithms and show that both approaches are interesting for a UAV pursuit-evasion scenario

Actors in our criminal justice system increasingly rely on computer algorithms to help them predict how dangerous certain people and certain physical locations are. These predictive algorithms have spawned controversies because their operations are often opaque and some algorithms use biased data. 

Yet these same types of predictive algorithms inevitably will migrate into the national security sphere, as the military tries to predict who and where its enemies are. Because military operations face fewer legal strictures and more limited oversight than criminal justice processes do, the military might expect – and hope – that its use of predictive algorithms will remain both unfettered and unseen


  1. https://timesofindia.indiatimes.com/india/no-privacy-left-for-anyone-whats-happening-asks-sc/articleshow/71913853.cms

    THE ILLEGAL COLLEGIUM JUDICIARY CONTROLLED BY THE JEWIS DEEP STATE HAS BLED BHARATMATA FOR TOO LONG..

    OUR KAYASTHA LAW MINISTER PRASAD IS A MOST USELESS FELLOW.. IN 1976 PRASAD WAS THE LACKEY OF CIA SPOOK KAYASTHA AND FELLOW BIHARI JP..

    http://ajitvadakayil.blogspot.com/2017/08/right-to-privacy-in-india-is-not.html

    IN 2017, THE UNION FINANCE MINISTRY, INDIA LAUNCHED ‘PROJECT INSIGHT‘ TO MONITOR HIGH VALUE TRANSACTIONS, INCLUDING MONITORING SOCIAL MEDIA ACCOUNTS, TO DETECT SPENDING PATTERNS AND TO COMPARE THESE WITH TAX RECORDS.

    THE UNION FINANCE MINISTRY ENTERED INTO A CONTRACT WORTH US$100 MILLION WITH L&T INFOTECH (LARSEN & TOUBRO) TO HELP WITH PROJECT INSIGHT.

    BENAMI MEDIA CRITICS ACCUSE THE PROJECT OF BEING VIOLATIVE OF INDIVIDUALS’ PRIVACY.

    SORRY--

    PRIVACY WILL BE AFFORDED ONLY TO LAW ABIDING CITIZENS , NOT PAKISTANI ISI FUNDED TRAITORS WHO WANT TO KILL BHARATAMATA..

    HOME MINISTER AMIT SHAH WAS THROWN INTO JAIL BY TRAITOR JUDICIARY TO PROTECTS PAKISTANI ISIS FUNDED TERRORIST SOHRABUDDIN.. ALL IT TOOK WAS A PIL FROM A PAKISTAN ISI CONTROLLED NGO..

    https://en.wikipedia.org/wiki/Death_of_Sohrabuddin_Sheikh

    capt ajit vadakayil
    ..





























  1. PRESIDENT TRUMP IS VISITING INDIA..

    CAPT AJIT VAADKAYIL DEMANDS FROM PM MODI-- DO NOT GET OVERAWED..

    THREE US PRESIDENTS REAGAN/ BUSH SR AND CLINTON ARE RESPONSIBLE FOR THE COCAINE ADDICTION OF USA.. THE WHITE HOUSE IS THE NO 1 CONSUMER OF COCAINE IN A SINGLE BUILDING WORLD WIDE.

    https://en.wikipedia.org/wiki/Miguel_%C3%81ngel_F%C3%A9lix_Gallardo

    MEXICAN COCAINE DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO RAN GUNS TO NICARAGUA FOR THE US PRESIDENT USING CIA AS A MEDIATOR.. THIS IS NO BIG SECRET..

    MATTA-BALLESTEROS WAS USED BY CIA FIRST TO ARM THE NICARAGUA CONTRAS TO BRING THE PATRIOTIC SANDINISTA GOVT DOWN..

    SANDINISTAS WERE BRANDED AS BAAAAD COMMIES BY REAGAN .. IN REALITY SANSDINISTAS KICKED OUT STEALING JEWISH OLIGARCHS FROM NICARAGUA..

    https://en.wikipedia.org/wiki/Juan_Matta-Ballesteros

    MEXICAN COCAINE DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO DROVE A WEDGE BETWEEN DEA AND CIA.. CIA WAS PROTECTING THIS DRUG LORD FROM DEA..

    DRUG LORD EL CHAPO WAS IN CAHOOTS WITH DEA.. WHEN HE WAS ESCAPING VIA A 1.8 KM LONG TUNNEL FROM JAIL, THE MEXICAN PRESIDENT AND US PRESIDENT WERE MONITORING THIS ESCAPE..

    https://en.wikipedia.org/wiki/Joaqu%C3%ADn_%22El_Chapo%22_Guzm%C3%A1n

    EL CHAPO FUNDED CIA/ DEA AND THE WHITE HOUSE -SO THAT THE US PRESIDENT CAN CIRCUMVENT US CONGRESS FOR SLUSH FUNDS TO CAUSE REGIME CHANGE WOLD WIDE..

    REGIME CHANGE IS ALL ABOUT PUTTING PUPPETS ON THRONES SO THAT JEWS CAN STEAL..

    CAPT AJIT VADAKAYIL ASKS NSA AJIT DOVAL.. YOU ARE NOW 75 YEARS OLD.. DYING YOUR HAIR BLACK CUTS NO ICE .. OTHER THAN BULLSHIT PAKISTANI STUFF, DO YOU UNDERSTAND WORLD INTRIGUE?.. CAN YOU EVEN UNDERSTAND ARTIFICIAL INTELLIGENCE? WHY DONT YOU FUCK OFF AND ALLOW SOMEONE YOUNGER AND MORE TECH SAVVY TO BE THE NSA ?

    CHAIWAALA MODI KNOWS NOTHING REPEAT NOTHING ABOUT WORLD INTRIGUE... SEE THE WAY HE BEHAVES WHEN DONALD TRUMP COMES TO INDIA..

    capt ajit vadakayil
    ..

THIS POST IS NOW CONTINUED TO PART 13 , BELOW--






CAPT AJIT VADAKAYIL
..

ILP, CAB, NRC, WHY CHINA WANTS ARUNACHAL PRADESH, OPIUM GROWN BY JEW ROTHSCHILD-- CAPT AJIT VADAKAYIL

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  1. https://ajitvadakayil.blogspot.com/2019/12/ilp-cab-nrc-why-china-wants-arunachal.html

    I WANT THE ARMY COMMANDERS , BSF COMMANDERS , CRPF COMMANDERS AND SECURITY AGENCIES WHO SERVE IN NE STATES TO READ THIS BLOG POST..

    MY NE READERS MUST DO THIS NOW !

    USE WHATS APP..
    NE STATES HAD 100% HINDU POPULATION , 1000 YEARS AGO.. THE ANCIENT HINDU TEMPLES ARE ALL DESTROYED..


    ANIMAL SACRIFICE IN HINDU TEMPLES OF NE STATES WAS STARTED BY JEW ROTHSCHILD..TO MAKE THE HINDU SELF LOATHING.. TODAY MOST ANIMALS IN OPIUM PRODUCING AREAS ARE FOR SACRIFICE ALONE..
    http://ajitvadakayil.blogspot.com/2014/11/all-animal-sacrifices-in-hindu-temples.html

    THE ITALIAN WAITRESS CONVERTED MOST OF NE STATES PEOPLE INTO CHRISTIANITY FOR VOTE BANKS..

    THE NATIONAL PRAYER BREAKFAST PARTY WAS ACTIVELY INVOLVED.

    https://ajitvadakayil.blogspot.com/2019/12/national-prayer-breakfast-where-jesus.html

    capt ajit vadakayil
    ..
BELOW:   MALINITHAN TEMPLE ( DURGA ) IN ARUNACHAL PRADESH  IS 6000 YEARS OLD,  NOT 800 AS PER WIKIPEDIA PROPAGANDA  ..  LEGEND HAS IT THAT KRISHNA VISITED THIS TEMPLE WITH WIFE RUKMINI..



DEFINITIONS:
ILP /   INNER LINE PERMIT
CAB /   CITIZENSHIP AMENDMENT BILL
NRCNATIONAL REGISTER OF CITIZENS
NPR / NATIONAL POPULATION REGISTER 


NOTE CAB AFTER RESIDENTS SIGNATURE BECOMES CAA ( CITIZENSHIP AMENDMENT ACT  )

https://www.facebook.com/670490466309796/posts/4085974358094706/?sfnsn=scwspwa&extid=zz2m4ADcV4hQbfMt&d=w&vh=e


https://www.facebook.com/1256179071089700/posts/3636709513036632/?sfnsn=scwspwa&extid=fx3rJNbyNbQwny0Y&d=w&vh=e

NRC/ CAA IS NOT FOR INDIAN MUSLIMS

CAA IS ONLY FOR REFUGEES IN INDIA

CAA IS NOT FOR NEW REFUGEES

NPR HAS NOTHING TO DO WITH NRC


The National Population Register (NPR) is a database of the identities of all Indian residents, maintained by the Registrar General and Census Commissioner of India.  



I AM BEING RUSHED INTO PENNING THIS CRITICAL POST ..

YESTERDAY WE SAW THAT THE NE STATES OF INDIA WERE IN FLAMES..  ALL THESE RIOTS ARE TRIGGERED , FUNDED AND SPONSORED BY THE JEWISH DEEP STATE..

NOBODY KNOWS THAT THE ORIGINAL HINDU INDIANS WORSHIPING HINDU GODS VISHNU/ SHIVA/ DEVI IN OPIUM GROWING AREAS OF NE  , HAVE BEEN ETHNICALLY CLEANSED ( GENOCIDE ) 250 YEARS AGO BY JEW ROTHSCHILD .


THEY WERE REPLACED BY PEOPLE OF CRIMINAL DNA MIX FROM OUTSIDE INDIA..   

CHINESE HUNNAN , TIBET, MYANMAR ( HEAD HUNTERS WA TRIBE ) TRIBALS  OF MIXED BREED ( DELIBERATELY CREATED) WERE IMPORTED INTO OPIUM GROWING AREAS AND MADE TO SETTLE DOWN..  

THEY WERE USED TO PRODUCE AND GUARD THE OPIUM PRODUCING LAND.

ARUNACHAL PRADESH OPIUM IS THE FINEST ON THE PLANET..




WHO IS ROTHSCHILD?

THIS GERMAN JEW RULED INDIA..  

HE PRODUCED OPIUM IN INDIA AND SOLD IT IN CHINA .. 



ROTHSCHILD OWNED THE EAST INDIA SHIPPING COMPANY.. SOME OF THE OPIUM HE PRODUCED IN INDIA , HE SHIPPED TO CHINA FROM MUMBAI AND CALCUTTA , BY A LONG SEA ROUTE ..




ARUNACHAL PRADESH OPIUM WENT BY A SECRET OPIUM SMUGGLING ROUTE OVER LAND TO CHINA..  

THIS VERY SHORT AND EASY ALL WEATHER HIDDEN ROUTE IS STILL THERE..




There is an all weather ( free of snow ) easy road from Assam to China with a very short distance of only 400 km.

IMAGINE WHEN ROTHSCHILD SMUGGLED OPIUM TO CHINA, BENGAL REGIMENT WAS GUARDING THIS ROAD..  

THEY USED TO BE KILLED OFF AND THIS WAS THE MAJOR REASON FOR THE 1857 SEPOY MUTINY




  1. In the series El Chapo, EL Chapo also killed the workers and Engineers digging the secret tunnels he built... Just like the Bengal Regiment you mentioned..
    1. ALL DRUG CARTELS BURY MONEY UNDERGROUND IN PLASTIC TANKS..

      AFTER THE JOB IS DONE, BEFORE THEY CAN TALK TO THEIR FAMILY THEY ARE KILLED..
      THE BENGAL REGIMENT OF ROTHSCHILD WHO GUARDED THE SECRET OPIUM OVERLAND ROUTE KNEW THAT THEIR COLLEAGUES ARE GETTING KILLED ..


      THIS WAS THE REASON FOR THE 1857 SEPOY MUTINY-- NOT SOME PIG AND COW GREASE ON CARTRIDGES WE WERE TAUGHT IN NCERT SCHOOL TEXTS IN SCHOOL.
      THE FIRST LOCALLY RECRUITED BATTALION WAS RAISED BY THE EAST INDIA COMPANY IN 1757 AND BY THE START OF 1857 THERE WERE 74 REGIMENTS OF BENGAL NATIVE INFANTRY IN THE BENGAL ARMY.

      http://ajitvadakayil.blogspot.com/2011/07/back-swing-of-john-galt-capt-ajit.html

      DURING THE INDIAN MUTINY ALL BUT TWELVE OF THE SEVENTY-FOUR REGULAR BENGAL NATIVE INFANTRY REGIMENTS MUTINIED.. IT IS A SECRET THAT MOST WERE DISBANDED AND KILLED OFF.

      THE EXECUTIONS WERE CARRIED OUT EITHER BY HANGING, BY FIRING SQUAD OR BY BLOWING FROM A GUN.

      MUTINYING REGIMENTS OFFICIALLY CEASED TO EXIST AND THEIR PLACE IN THE ORDER OF PRECEDENCE OF THE BENGAL ARMY WAS TAKEN BY ANOTHER UNIT.

      34TH REGIMENT OF BENGAL NATIVE INFANTRY WHICH WAS DISBANDED ON 6 MAY 1857 AT BARRACKPORE FOLLOWING THE ACTIONS OF MANGAL PANDEY AND HIS EXECUTION FOR MUTINY SHORTLY BEFORE THE MAIN OUTBREAK.

      TWO REGIMENTS OF BNI (THE 65TH AND 70TH) WERE SERVING IN CHINA AT THE TIME OF THE OUTBREAK GUARDING THE SECRET OVERLAND ROUTE FROM ARUNACHAL PRADESH TO HUNNAN PROVINCE CHINA

      DURING THE 1857 MUTINY THE UNITED KINGDOM GOVERNMENT PASSED THE GOVERNMENT OF INDIA ACT 1858 WHICH ESTABLISHED THE BRITISH RAJ, BRINGING TO AN END COMPANY RULE IN INDIA ( SIC) BY STRIPPING THE EAST INDIA COMPANY OF ALL ITS ADMINISTRATIVE POWERS AND HANDING OVER CONTROL OF ITS INDIAN TERRITORIES AND ARMED FORCES TO THE BRITISH CROWN ( ON PAPER )- SIC SIC SIC

      THE TRUTH IS ROTHSCHILD STOPPED ALL PRETENSES OF BEING A PEPPER TRADER AND TOOK OVER INDIA AS ITS RULER ..

      capt ajit vadakayil
      ..

This hidden  road starts from Tinsukia in upper Assam and passes through Parasuram Kunda, Hailalyung, Walong and finally Kibithu, traversing a distance of some 300 km through hilly terrain befor it reaches Kaho town and then the border region between India and China in the Lohit river valley. After crossing the border, the road reaches ancient town of Rima in Yunnan province of China

On the Indian side, the road from Tinsukia to Kibithu is an all weather road free of snow. 

Only for about 3 Km length near the Line of Actual control (LAC) the road is broken off completely ( dynamited tunnels just before Indian Independence ). 

Beyond the border, China has already built an all-weather four-lane highway connected to the interior.

This route has another advantage. It does not enter Tibet at all, but Yunnan, which always has been an integral part of China.

Rothschild found an old route between Assam and China while exploring the Lohit Valley. This route was used by ancient smugglers and prostitutes. 

Sorry, no Buddhists Chinese travellers ever came this way.. 




Mughal Emperors knew this route..

Two biggest cities on this route were Tinsukia in India and Rima (which does not exist now) in China.

At present, only land route between India and China, known as Stilwell Road and connecting Ledo in Assam to Kunming in Yunnan province of China, traverses through 400 Km of dense jungles.




This secret route is very near the opium processing centers ( owned by Jew Rothschild ) of the golden triangle and was an easy exit for the opium trade.



THE OPIUM PRODUCING TRIBALS OF ARUNACHAL PRADESH ARE LOYAL TO CHINA, NOT INDIA..  THEY HELPED THE CHINESE ARMY IN THE 1962 WAR AND ARE AGENTS OF PLA .. 

THESE OPIUM GROWING TRIBALS OF ARUNACHAL PRADESH HAVE RELATIVES IN MYANMAR , CHINA HUNNAN AND TIBET..  

PROCESSED HARD DRUGS FROM CHINESE DRUG FACTORIES MYANMAR IS FLOWING BACK INTO INDIA AND WE DONT EVEN KNOW..   

LIKE GABBAR SINGH IN SHOLAY "HUMKO KUCHCH NAHIN PATHA" !

WHAT IS THE WORTH OF OUR SECURITY AGENCIES IF A BLOGGER HAS TO TELL ALL THIS IN 2019?    

OUR POTHOLE JOURNALISTS AND JUDGES ARE THE MOST PEA BRAINED ON THE PLANET.. 



EXAMPLE: Mishmi tribe of Arunachal Pradesh ( one of the Opium growing tribe)  have been selectively bred by Jew Rothschild using criminal DNA stock from Tibet, China and Mynmar.. 

https://en.wikipedia.org/wiki/Mishmi_people


  1. SOMEBODY ASKED ME

    HAS JEW ROTHSCHILD ETHNICALLY CLEANSD ORIGINAL HINDU PEOPLE AND REPLACED THEM WITH FOREIGNERS –LIKE IN OPIUM GROWING ARUNACHAL PRADESH AND NE STATES..

    IN NORTH SENTINEL ISLANDS AND ANDAMAN CHAIN, THE ORIGINAL PEOPLE WERE HINDUS .. I HAVE SEEN ALL ANDAMAN ISLANDS..

    NORTH SENTINEL ISLAND WAS ETHNICALLY CLEANSED AND REPLACED WITH A HEAD HUNTING TRIBE FROM PAPUA NEW GUINEA .. THEY ARE STILL THERE.. THESE PEOPLE ARE NOT SEA NAVIGATORS BY DNA..

    THE WHOLE IDEA WAS TO CEMENT ROTHSCHILDs “OUT OF AFRICA” BULLSHIT THEORY AND MAD MAN DARWINs EVOLUTION THEORY

    https://en.wikipedia.org/wiki/North_Sentinel_Island

    IN THIS DNA AGE OUR SCHOOL CHILDREN ARE STILL STUDYING MAD MAN CHARLES DARWINs THEORIES..

    http://ajitvadakayil.blogspot.com/2010/12/charles-darwin-and-his-apple-capt-ajit.html

    HUMAN LIFE BEGAN FROM NARMADA RIVER 65 MILLION YEARS AGO..WITH DNA FROM SHIVA LINGAM BLACK METEORITE STONES..

    https://ajitvadakayil.blogspot.com/2019/07/shiva-lingam-meterorite-hit-65-million.html

    AND THESE NEGROID PEOPLE ARE NO LONGER IN THE STONE AGE..

    WHEN MY SHIP WENT TO ANDAMANS - I SERVED ON A TIMBER CARRIER MV DIGLIPUR IN 1976.. WE WENT TO ALL ISLAND TO LOAD TIMBER EXCEPT SENTINEL ISLAND..

    THE TIMBER WAS SO HEAVY ( RED WOOD PADDOCK ) THAT THE LOGS WOULD SINK IN SALT WATER..SO THESE LOGS CAME ON RAFTS .. ELEPHANT GANDS WORKED ..

    BUCKINGHAM PALACE IS MADE OUT OF THIS STRONG WOOD..

    IN THOSE DAYS THE SENTINEL TRIBE HAD NO IRON..

    THEN A HUGE SHIP NAMED MV. PRIMROSE, RAN AGROUND IN A STORM ( NW OF SENTINEL ISLAND ) WHILE ON VOYAGE FROM BANGLADESH TO AUSTRALIA ON 2ND AUG 1981

    SINCE THEN THESE NEGRO PEOPLE HAVE HELPED THEMSELVES TO GOODIES.. THEIR ARROWS HAVE STEEL TIPS..

    SENTINEL ISLAND NEGROES HAVE THE SAME LOOKS AS ONGE TRIBE IN THE REST OF ANDAMANS..THIS VIDEO BELOW SHOWS ONGE TRIBE..

    https://www.youtube.com/watch?v=6XPriuvAwqk

    THERE WAS A RETIRED ANGLO INDIAN SHIP CAPTAIN NAMED CAPT BEALE IN ANDAMANS ( HE OWNED TUGS AND TOURIST BOATS ) WHO WAS THE DUFFERIN BATCHMATE OF MY SHIPSs ANGLO INDIAN CAPTAIN..

    SO I GOT TO GO ON VARIOUS ISLANDS ON CAPT BEALEs TUGS-- IT WAS DANGEROUS..WITH SO MANY SUBTRIBES LIKE JARAWAS, SHOMPEN , NICOBARESE ETC WHO ARE DOMESTICATED..BUT YOU NEVER KNOW , IF THEY LOVED HUMAN FLESH..

    CAPT BEALE HAD A WORKSHOP IN CALCUTTA, NAMED BEALEs MARINE.. THEY WOULD OVERHAUL OUR DERRICK CARGO BLOCKS IN A JIFFY..

    I KNOW ANDAMANS - IF I WANT I CAN WRITE A BOOK ABOUT IT.

    WE USED TO HAVE PICNICS IN VARIOUS ISLAND ..WE TOOK THE SHIPs LIFE BUOY WITH US.. WE WERE TREATED LIKE ROYALY, AS MV. DIGLIPUR BROUGHT ALL GENERAL STORES ( 100% ) FROM CHENNAI..

    INDIAN NAVY HELICOPTERS PLAYED TRICKS --DROPPING MUSIC SETS GIVING MUSIC.. AND THE MEN USED TO SHOOT ARROWS AT THE HELICOPTER..

    capt ajit vadakayil
    ..




Imagine for the ethnic cleansing of Arunachal Pradesh Hindu planning was done a century in advance like how Rothschild bred the Chitpavan Jews nay Brahmins  and Peshwas .  

German Jew Rothschild dumped a ship load of Bene Israel Jews from Kerala off the Konkan coast.. These white skinned Jews with pale eyes waded ashore and claimed to be ship wrecked.. 

Unlike the Parsis, these Bene Israel Jews mixed blood with the Indian stock.. 

These are the Chitpavan Brahmins like Tilak, Gokhale, Savarkar , Ranade etc.. The Chitpavan Jews were loyal to Jew Rothschild, not to Bharatmata.  

When the time was ripe, Rothschild disinherited Emperor Shahu’s sons and placed a Peshwa ( Kshatriya branch of fake Chitpavan Brahmins) as King.  

Emperor Shivaji was a Mahar.


 These Peshwas with Rothschild’s support ( funds/ arms / Mahar soldiers ) ran over the Moghul Empire..  Later the Peshwas just handed over the Mughal empire on a golden platter to Rothschild and retired.   

CHO CHWEEET APPA !

Today if you see any white skinned , pale eyed ( he must be mean and cunning ) person in Maharashtra , they have Jewish blood.  A lot of them are homosexuals .
The Mughal emperors after Humayun were Jews. 

This was done with white Jewish whores imported from Georgia/ Turkey who were skilled in  dirty deviant sex. They were trained in elite manners and ZE good life.. 


These Jewish whores addicted the Mughal Emperor with Arunachal Pradesh Opium laced with alcohol ( laudanum ) ..  Example:  Jewess Anarkali was fucking her husband Akbar and his son Jehangir  ( Salim) . She converted Jehangir ino a Opium drug addict..


German Jew Rothschild used the Jewess whore honey trap method to convert
AAA- Hindu Roman Emperors and Senators into Christian
BBB- Moghul Muslim Emperors into Jews
BBB – Ottoman Sultan Muslim Emperors into Jews ( last 70% Sultans were Jews )
CCC- British Royal bloodline into German Jew




China was planning to grab Arunachal Pradesh using the Doklam standoff. 

Capt Ajit Vadakayil showed President Xi and his side kick the editor of Global Times , Hu Xijin the mirror.




Donald Trump does not know that the SWAMP he plans to drain consists of the descendants of Opium agents of Jew Rothschild..  The Opium inside the tea cases of the BOSTON TEA PARTY was premium Arunachal Opium and Arunachal tea..


The richest Indian in 1947 were Opium Drug running agents of Jew Rothschild.. mainly the Parsis and Marwari Jews.


Kathiwari Jew Gandhi ensured that Rothschild’s opium production was not marred by strikes by farmers..



This is the Gujju No 1 Gandhi , our Gujju No 2 Modi praises every day since he sat on the PM chair.

When India Opium farmers did not play ball, they were shipped off overseas as slaves..


Amartya Sen with a Rothschild wife does the whitewashing..



Tagore’s grandfather Pir Ali Muslim Dwaraknath was a Opium drug running partner of Jew Rothschild..   

Dwaraknath Tagore also owned the biggest whorehouse on the planet at Sonagachi Calcutta, using young boys and girl who were not yet in their teens..


The white British Soldiers loved to serve in India as they could screw Indian girls after their first menses ( age range 12 to 14 ).   Today Western girls get first menses at the age of 9..


Pir Ali Muslim Raja Ram Mohan Roy was an opium factory employee ( Rangpur ) of Rothschild.


How come Tagore and Ram Mohan Roy became Muslims?

Rothschild hit the naïve Mughal Emperors from within using his Indian accountants.



The pea brained Indian mainstream media and the debators who came on TV yesterday did not know what is ILP/ CAB/ NRC. And so did the MPs in Lok Sabha and Rajya Sabha..

The Citizenship (Amendment) Bill, 2019 (CAB) is a bill amending the Citizenship Act of 1955 to make illegal migrants who are Hindus, Sikhs, Buddhists, Jains, Parsis and Christians from Afghanistan, Bangladesh and Pakistan, who entered India on or before 31 December 2014, eligible for Indian citizenship. It also seeks to relax the requirement of residence in India for citizenship by naturalisation from 11 years to 5 years for these migrants

The primary opposition to the Bill is that it makes illegal migrants eligible for citizenship on the basis of religion, which critics say violates the spirit of equality guaranteed under Article 14 of the Indian Constitution.

SORRY— ARTCLE 14 IS FOR LAW ABIDING INDIAN CITIZENS— NOT CRIMINAL DNA MUSLIM ROHINGYA ILLEGAL IMMIGRANTS.. OUR JUDGES ARE STUPID.




Below : Law Minister Ravi Shankar Prasad ( instead of doing his job, he is moaning ) is showing the Original Constitution of India ( which just had fifty odd page's.  Congress in the last six decades made many changes to the basic contours of our Constitution in order to strengthen their pseudo secular liberal politics of Appeasing certain sections of the country. That's how their vote bank politics gained strength

For six decades they had brute majority in both the lower and upper house and thus succeeded in changing the laws to suit their vote bank politics. The Original Constitution was Secular in nature but acknowledged the fact that Hinduism is the soul of India.

Every page of the Constitution had paintings of Ramayana Mahabharata in the background. The word Secularism was never written in our Constitution. The words Socialist and Secularism were surreptitiously inserted by Indira Gandhi in the mid 1970s.

Congress got hundreds of amendments in the Original Constitution to strengthen their policy of appeasement. At every given  opportunity they indulged in naked and aggressive Vote Bank Politics.

Watch the video in order to understand the dubious Secular credentials of Congress. They first amend the constitution and used it to suppress Hindu Majority. India is perhaps the only Country where the majority population is forced to survive on the whims of Minorities.



  1. https://timesofindia.indiatimes.com/india/insidious-cab-will-wreck-statute-fail-court-test-p-chidamabaram/articleshow/72482822.cms

    CHID BABY , APPIDIYAAAA?.. ..

    WE PLAN TO CREATE MILITARY COURTS AND HANG THE JUDGES WHO HAVE USED ILLEGAL JUDICIAL REVIEW TO UNDERMINE INDIAs DEMOCRACY BY JUDICIAL REVIEW....

    ILLEGAL COLLEGIUM JUDICIARY CREATED THE NAXAL RED CORRIDOR AND CAUSED ETHNIC CLEANSING OF KASHMIRI PANDITS..

    WE WILL PUNISH BENAMI MEDIA AND SOME UPA POLITICIANS IN THE PAYROLL OF THE DEEP STATE..

    THE CAB BILL WAS PASSED BY BOTH HOUSES OF THE PARLIAMENT.. AFTER PRESIDENT SIGNS IT, THE ILLEGAL COLLEGIUM JUDICARY WILL SIT IN REVIEW LIKE GODS..


    ALL THESE JUDGES ARE ALLOWED TO DO IS TO INTERPRET LAWS..


    THESE JUDGES ARE NOT EMPOWERED TO DO JUDICAL REVIEW OF LAWS PASSED BY THE PARLIAMENT....

    THESE STUPID JUDGES DO NOT KNOW THAT OUR CONSTITUTION PROTECTS ONLY LAW ABIDING INDIAN CITIZENS..

    OUR CONSTITUTION DOES NOT PROTECT TRAITOR INDIAN CITIZENS, ILLEGAL MUSLIM ROHINGYA IMMIGRANTS OR ANY ANIMAL EVEN IF IT IS INDIAN...


    WE ASK MODI TO IMMEDIATELY BAN STARE DECICIS, WHERE PAST STUPID JUDGEMENTS OF JUDICIARY SANS CONTEXT ARE USED AS A LANGOT – NAY—ADDENDUM TO THE CONSTITUTION...


    THE NJAC BILL WAS PASSED UNANIMOUSLY BY BOTH LOK SABHA AND RAJYA SABHA WITH PRESIDENT SIGNING THE LAW.. YET ILLEGAL COLLEGIUM JUDICIARY USED A UNCONSTITUTIONAL JUDICIAL REVIEW PROCESS AND STRUCK IT DOWN...

    JUDICIAL REVIEW EMPOWERS THE ILLEGAL COLLEGIUM JUDICIARY TO DECIDE THE FATE OF LAWS PASSED BY THE ELECTED AND ACCOUNTABLE LEGISTLATURE WHICH REPRESENTS THE SOVEREIGN WILL OF THE PEOPLE...

    JUDGES DO NOT KNOW THAT THE CONSTITUTION EMPOWERS PRESIDENT AND STATE GOVERNORS WITH ENORMOUS SUBJECTIVE AND DISCRETIONARY POWERS TO SUSTAIN DHARMA ( NOT BLIND JUSTICE )…


    WE THE PEOPLE WARN THE ELECTED EXECUTIVE— JUDICIAL REVIEW IS AN UNDEMOCRATIC SYSTEM AND IT IS DANGEROUS TO THE WATAN WHEN COLLEGIUM JUDGES ARE CONTROLLED BY THE DEEP STATE..


    THE SUPREME COURT IS ITSELF BOUND BY THE CONSTITUTION OF INDIA AND THE PARLIAMENT CAN AMEND THE CONSTITUTION ANY TIME THEY WANT..WE THE PEOPLE ARE ABOVE THE CONSTITUTION..

    THE CONSTITUTION CAN NEVER BE USED TO STAITJACKET WE THE PEOPLE, THE WATAN OR DHARMA..THE SUPREME COURT IS ITSELF BOUND BY THE CONSTITUTION OF INDIA AND THE PARLIAMENT CAN AMEND THE CONSTITUTION ANY TIME THEY WANT..

    TODAY DESH DROHI COLLEGIUM JUDGES IN DEEP STATE PAYROLL ARE QUOTING ARTICLE 14 TO ALLOW ROHINGYA MUSLIMS INTO INDIA , AND GIVEN INDIAN CITIZENSHIP.
    SORRY, OUR CONSTITUTION APPLIES ONLY TO LAW ABIDING INDIAN CITIZENS..

    THE NJAC BILL WAS PASSED UNANIMOUSLY BY BOTH LOK SABHA AND RAJYA SABHA WITH PRESIDENT SIGNING THE LAW.. YET ILLEGAL COLLEGIUM JUDICIARY USED A JUDICIAL REVIEW PROCESS AND STRUCK IT DOWN..

    JUSTICES J. S. KHEHAR, MADAN LOKUR, KURIAN JOSEPH AND ADARSH KUMAR GOEL HAD DECLARED THE 99TH AMENDMENT AND NJAC ACT UNCONSTITUTIONAL .. THESE FOUR JUDGES AND EX-CJI CL DATTU MUST BE TRIED BY THE MILITARY COURT FOR SEDITION…

    capt ajit vadakayil..'

The National Register of Citizens, ( NRC ) the process of which has been recently completed in Assam, looks to remove illegal immigrants from India.  

The NRC is a register maintained by the Government of India containing names & certain relevant information for identification of Indian citizens of the Assam state.. However, on 20th November 2019, Home Minister Mr. Amit Shah declared during a parliamentary session that the register would be extended to the entire country.

According to NRC, a person, to be eligible to be a citizen, would have to prove that either they or their ancestors were in India on or before March 24, 1971, the eve of the Bangladesh War. The war of liberation had begun in Bangladesh the next day, which sent thousands of refugees to India.

The Centre would be extending the NRC process to the rest of India.

THE NRC HAS NOTHING TO DO WITH RELIGION, WHEREAS, THE CAB IS BASED ON SOME FAITHS.

INDIA HAS OFFERED CITIZENSHIP TO TAREK FATAH AND TASLIMA NASRIN  ..  BUT THEY WERE AFRAID OF ILLEGAL IMMIGRANT MUSLIM ASSASSINS IN INDIA, AND HENCE TOOK CITIZENSHIP OF FAR AWAY AND SAFER NATIONS CANADA AND SWEDEN RESPECTIVELY

INDIA WILL NOT TAKE IN CRIMINAL DNA ROHINGYA MUSLIMS -- THEY DONT BELONG TO INDIAN STOCK..

NRC was aimed at deportation of illegal immigrants irrespective of their religions, the CAB is likely to benefit non-Muslim migrants

The BJP has claimed that the CAB will assist those left out of the final NRC.

The North East Students' Organisation (NESO) comprising of all student organisations of Assam, Arunachal Pradesh, Meghalaya, Mizoram, Manipur and Tripura, has been long demanding that the entire region be exempted from CAB

OPIUM GROWING NON-HINDU TRIBES ( WHO HAVE NO LOYALTIES TO BHARATMATA ) DO NOT WANT OUTSIDERS ( INDIAN PATRIOTS ) EYES CHECKING WHAT THEY DO..


Inner Line Permit (ILP) is an official travel document issued by the Government of India to allow inward travel of an Indian citizen into a protected area in NE states  for a limited period.  It is obligatory for Indian citizens from outside those states to obtain a permit for entering into the protected state. 

The document is an effort by the government to regulate movement to certain areas located near the international border of India to China . This is an offshoot of the Bengal Eastern Frontier Regulations, 1873 created by Jew Rothschild. which protected his interest in growing opium by prohibiting others from entering into these "criminal Protected Areas"

Rothschild introduced ILP by a Bengal Eastern Frontier Regulation Act of 1873 to safeguard his business interest in opium.  The  Indian Government replaced it in 1950 as a law to protect tribal culture ( sic) and their land.  What culture? These are criminal DNA tribes who are not of Indian bloodstock..

Inner Line Permit is not the same as Restricted Area Permit or Protected Area Permit, which are official travel documents to protect the integrity of India

Nowadays ILP's valid for tourism purposes are granted as a matter of routine

There are also ongoing demands for the introduction of ILP in Meghalaya, .illegal immigration from Bangladesh, Nepal and Myanmar has contributed to the crisis.

The inclusion of Manipur in Inner Line Permit was announced in 10 December 2019. .

Currently, the Inner Line Permit is operational in Arunachal Pradesh, Mizoram and Nagaland.—and now Manipur..

The Foreigners (Protected Areas) Order 1958 states that a Protected Area Permit (PAP) is required for non-Indian citizens to visit certain areas in India (mainly in the North-East).  Certain requirements have to be fulfilled in order to get this permit.

 Indian citizens who are not resident in these areas need an Inner Line Permit (ILP) to enter these places. The Inner Line Permit is significantly easier to get.

OPIUM GROWING TRIBES WERE SELECTIVELY BRED BY JEW ROTHSCHILD.. THEY HAVE NO LOYALTIES TO THE WATAN.. THERE ARE CRIMINAL TRIBES.

LIKEWISE CRIMINAL CLAN BISHNOIS WERE SELECTIVELY BRED BY JEW ROTHSCHILD FOR HIS OPIUM BUSINESS.. THEY GOT SPECIAL PROTECTION AS SCHEDULED TRIBES.



 People in Arunachal Pradesh extract opium in a unique way by lancing poppy pods with blades and collecting the viscous fluid on a fabric made of nettles.








BEFORE THE WHITE INVADER CAME TO INDIA THERE WAS NOT A SINGLE  OPIUM PLANT IN ARUNACHAL PRADESH..

THE FIRST OPIUM  IN ARUNACHAL PRADESH WAS PLANTED BY JEW ROTHSCHILDs AGENTS, TO ENSURE THAT DRUG CULTIVATION CAN GO UNDETECTED AND UNHINDERED.

IF YOU WATCH THE NETFLIX SERIA NARCOS MEXICO, THE JEWISH DEEP STATE PLANTED GMO SEEDLESS MARIJUANA IN MEXICO FOR EXPORT TO USA ..  THERE WAS A DEDICATED TOWNSHIP FOR WORKERS , WHO WERE NOT LOCAL MEXICANS..

THE PLANETs NO 1 DRUG CARTEL LORD IS NOT PABLO ESCOBAR OR EL CHAPO – IT IS GERMAN JEW ROTHSCHILD .. HE WAS SUPPORTED BY BRITISH ROYALTY AND HOUSE OF LORDS ..


Opium, comes from the poppy plant, scientifically known as Papaver Somniferum (somniferum literally means ‘I bring sleep’). It is a physiological and psychological depressor, bringing a sense of calm and well-being to the user. 

Most of the illegal opium produced in India goes to Myanmar, through the border with Arunachal. The market in Myanmar is controlled by Chinese drug mafia. 

They refine the opium, and send back cheap ‘brown sugar’, which has paralyzed the youth in the borders states, in a stupor of false security.  For some strange reason Opium and gun running are synonymous..  The insurgency in NE states are due to this.

Many NGOs operating in NE states are double agents.. wolves in sheep's clothing .. Police/ Judges/ Politicians sponsor them for bribes..

Illegal Bangladesi immigrats have fled NE states are are now all over India as vote banks .. 

They come out at night for street crimes like sntaching mobile phones.. A big percentage work as uniformed security guards for builder mafia.

INDIA MUST USE SATELLITE TECHNOLOGY TO MAP OPIUM CULTIVATION IN ARUNACHAL PRADESH-- AND SNUFF IT OUT SO THAT CHINA LOSES INTEREST 


BELOW: OPIUM IS THE REASON WHY THE ENTIRE NE WAS FERTILE GROUND FOR CHRISTIAN EVANGELISTS ..  

LAB VIRUSES WERE DELIBERATELY INTRODUCED AND WHEN PEOPLE FELL SICK THEY WERE CURED BY WHITE SKINNED MISSIONARIES WITH LAB ANTIDOTE VACCINES , PROVIDED THEY CONVERTED TO CHRISTIANITY WITH FAMILY..



THERE IS NO POLITICAL WILL TO SNUFF OUT HARD DRUGS IN INDIA.

CANNABIS / MARIJUANA , UNLIKE OPIUM IS NON ADDICTIVE AND IS A NATIONAL RESOURCE.




BELOW: CHINA IS DESPERATE FOR A SUBMARINE BASE IN BAY OF BENGAL..  ALL DRUGS /GUNS INSURGENCY ON THIS EXIT ROUTE VIA MYANMAR IS CONTROLLED FROM  CHINA

MASS DRUGGING OF POPULATION ,  ON LAND TO BE RUN OVER IN FUTURE DURING WAR, IS ROTHSCHILDs SIGNATURE..  


For the landlocked China Yunnan terrain, securing access to the Indian Ocean through Myanmar as a land bridge is important for acquisition of trading routes as well as for security.

This is China’s second strategic interest in Myanmar, and two routes have been envisaged. One route will be created by constructing roads/railways to connect Ruili (its counterpart on the Myanmar side is called “Muse.”), a border town in Yunnan; Kyaukphyu of Rakhine State; and the deep-sea port near Kyaukphyu.


The other route will be created by constructing a river port on Bhamo in Kachin State, from which the Irrawaddy River will lead to the Yangon and Thilawa ports. On April 27, 2011, the China Railways Engineering Corporation and Myanmar Union Ministry of Rail Transportation signed a memorandum of understanding for the construction of a railway from Muse to Kyaukpyu. 

The concept of using Myanmar as a land bridge is part of China’s two-ocean strategy to gain access to the Indian Ocean.  China is situated in a bad location of the planet when it comes to war strategy--while India has the best.












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MAKE YOU COMMENTS IN THE LINK BELOW..(PART TEN OF AI SERIES )

https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do.html

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THIS POST IS NOW CONTINUED TO PART 2, BELOW--







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WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 12 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 11, BELOW—

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OBJECTIVE AI CANNOT HAVE A VISION, IT CANNOT PRIORITIZE,  IT CANT GLEAN CONTEXT,  IT CANT TELL THE MORAL OF A STORY , IT CANT RECOGNIZE A JOKE,  IT CANT DRIVE CHANGE,   IT CANNOT INNOVATE, IT CANNOT DO ROOT CAUSE ANALYSIS , IT CANNOT MULTI-TASK,  IT CANNOT DETECT SARCASM, IT CANNOT DO DYNAMIC RISK ASSESSMENT , IT IS UNABLE TO REFINE OWN KNOWLEDGE TO WISDOM, IT IS BLIND TO SUBJECTIVITY, IT CANNOT EVALUATE POTENTIAL,  IT CANNOT SELF IMPROVE WITH EXPERIENCE,  IT DOES NOT UNDERSTAND BASICS OF CAUSE AND EFFECT,  IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,   IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,   IT CANNOT EVEN SET A GOAL …  IT CAN SPAWN GLOBAL FRAUD WITH DELIBERATE BLACK BOX ALGORITHMS,  JUST FEW AMONG MORE THAN 40 CRITICAL INHERENT DEFICIENCIES.



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https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do_29.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_4.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_25.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_88.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_15.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_94.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_1.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do.html





Spoofing is a disruptive algorithmic trading activity employed by traders to outpace other market participants and to manipulate markets.  

Spoofers feign interest in trading futures, stocks and other products in financial markets creating an illusion of the demand and supply of the traded asset. 

In an order driven market, spoofers post a relatively large number of limit orders on one side of the limit order book to make other market participants believe that there is pressure to sell (limit orders are posted on the offer side of the book) or to buy (limit orders are posted on the bid side of the book) the asset




Spoofing is where the algorithm puts orders between bid and ask prices in an intention to cancel them before getting executed. The aim of this scheme is to create a false sentiment about the security.

Where an algorithm is designed to use simple buy and sell transactions at rapid speeds to manipulate prices, such intent tests would find no liability. 

For example, an algorithm may be designed to enter into legitimate transactions 90% of the time and “spoof” the other 10% of the time — that is, place market orders only to rapidly withdraw them. 

In such a case, it will be difficult to demonstrate that the algorithm was designed to engage in spoofing, particularly when the  designer of the algorithm can point to hundreds of thousands of legitimate transactions on a motion for summary judgment.



The user of a trading AI that, for example, frequently places and then cancels orders, may lead the trader using the AI to suspect that it may be spoofing and in such a case he may be considered willfully blind to the spoofing if he does not then monitor or limit the AI’s conduct

Computers are programmed to trade in a micro-second once they detect certain triggering quantitative data. Obviously, this is how high frequency traders have come to dominate the market.

High frequency trading (“HFT”) algorithms, which were used by financial firms to trade securities and commodities in fractions of seconds,  were some of the first algorithms to expose the potential problems with the intent tests.    

HFTs are for the most part based on hardcoded rules that allow computer systems to react faster than any human being. The central strategy for many of these HFTs is to identify an inefficiency in the market and to trade them away before anyone else. 

The same speed that allows these algorithms to exploit  market inefficiencies also allows them to engage in conduct that may  be unethical or border on being unlawful.



For example, an HFT algorithm can be used to beat other orders to market by fractions of a second, allowing the algorithm to (a) determine that someone was  seeking to buy a security at a certain price, (b) buy the security before  the other person does, and (c) sell it to them at a higher price.

They may also be used to engage in conduct such as “spoofing,” where the algorithm places phantom orders on markets, only to withdraw them  once the market has moved in a desired direction.




"Pump and dump" (P&D) is a form of securities fraud that involves artificially inflating the price of an owned stock through false and misleading positive statements, in order to sell the cheaply purchased stock at a higher price. 

Once the operators of the scheme "dump" (sell) their overvalued shares, the price falls and investors lose their money. This is most common with small cap cryptocurrencies and very small corporations, i.e. "microcaps"



There are a few warnings signs that you should be aware of that may help you spot a potential scam.   
The investment on offer may be a scam if the person selling to you:--

does not have an Australian financial services (AFS) licence or says they don’t need one  rings you repeatedly and tries to keep you on the phone, 
or emails you a lot to keep you engaged  says you need to make a quick decision or you’ll miss out on the deal  
claims to be a professional broker or portfolio manager and sounds professional, but does not have an AFS licence  
uses a name or claims to be associated with a reputable organisation to gain credibility e.g. NASDAQ, Bloomberg  offers you a glossy prospectus or brochures, professional-looking share certificates or receipts, but their prospectus is not registered with ASIC.

Boiler rooms scams, using the pump and dump technique, also tend to focus on micro and small cap stocks. This is because their value is generally easier to manipulate. Information on these types of stocks is often hard to find, which can make it difficult for investors to thoroughly research the company and refute the claims of fraudsters.

While fraudsters in the past relied on cold calls, the Internet now offers a cheaper and easier way of reaching large numbers of potential investors through spam email, bad data, social media, and false information




The Anti-Spoofing Statute

Spoofing, which Congress criminalized in 2010 as part of the Dodd-Frank Wall Street Reform and Consumer Protection Act,10 is an illegal shortcut through the risky volatility of these markets. Title 7 of the United States Code, § 6c(a)(5)(C) makes it unlawful for "any person to engage in trading, practice, or conduct on or subject to the rules of a registered entity that ""is, is of the character of, or is commonly known to the trade as, "spoofing" (bidding or offering with the intent to cancel the bid or offer before execution)." Spoofing is illegal because it "can be employed to artificially move the market price of a stock or commodity up and down, instead of taking advantage of natural market events."

 A spoofing trader can create artificial supply and demand by "placing large and small orders on opposite sides of the market. The small order is placed at a desired price, which is either above or below the current market price, depending on whether the trader wants to buy or sell. If the trader wants to buy, the price on the small batch will be lower than the market price; if the trader wants to sell, the price on the small batch will be higher. Large orders are then placed on the opposite side of the market at prices designed to shift the market toward the price at which the small order was listed."

"In short, the trader shifts the market downward through the illusion of downward market movement resulting from a surplus of supply. Importantly, the large, market-shifting orders that he places to create this illusion are ones that he never intends to execute; if they were executed, our unscrupulous trader would risk extremely large amounts of money by selling at suboptimal prices”

United States v. Coscia

United States v. Coscia, the first spoofing case ever brought, is instructive. Michael Coscia was a longtime commodities futures trader at a high-frequency trading firm. Coscia enlisted the help of a computer programmer to design two computer programs that would work in 17 different CME Group markets and three different European futures markets   Coscia's high-frequency trading strategy allowed him to enter and cancel large-volume orders in a matter of milliseconds, which created an artificial supply and demand.  Accordingly, Coscia was able to purchase contracts at lower prices or sell contracts at higher prices by artificially pumping and then deflating the market by placing and cancelling orders.  Within milliseconds of achieving the desired downward market effect," Coscia cancelled the large orders. The computer programs detected when conditions were ripest and operated through a system of trade orders and quote orders and the "entire series of transactions would take place in a matter of milliseconds."

In August of 2011, Coscia employed this strategy with various futures commodities, including gold, soybean meal, soybean oil, high-grade copper, Euro FX and Pounds FX currency futures. In one instance involving copper futures, Coscia risked up to $50 million by placing large orders, which drove the price up. The buy orders created the illusion of market movement in copper futures and Coscia sold the contracts at his desired price point.  Coscia then placed large volume orders to sell the contracts, which created downward momentum on copper future prices by fostering the appearance of abundant supply.  This allowed Coscia to buy his small orders at the artificially deflated price.  Coscia then immediately cancelled the large orders.  Coscia's whole process was repeated tens of thousands of times resulting in over 450,000 large contract orders. This all took place in two-thirds of one second, earning Coscia profits of over $1.4 million.

What makes spoofing criminal is the trader's intent when placing the order. "Prosecutors can charge only a person whom they believe a jury will find possessed the requisite specific intent to cancel orders at the time they were placed.""Legitimate good-faith cancellation of partially filled orders" does not violate the anti-spoofing statute. In Coscia's case, he would be guilty of spoofing if he knowingly entered trades with the present intent to cancel them prior to execution. This is harder to prove than one might think and can lead to competing inferences. Coscia argued that his trades were "concededly conditional" and that his trading strategy was "virtually identical to other durational or contingent orders routinely permitted by exchange trading interfaces." As Coscia pointed out, cancelled trades are common in the high-frequency trading world where 98% of orders are cancelled before execution.

A Chicago jury disagreed and convicted Coscia. The U.S. Court of Appeals for the Seventh Circuit affirmed the conviction and found that Coscia had the requisite criminal intent. The Court found that Coscia's conduct was spoofing based on several key pieces of evidence introduced at trial: (1) Coscia was responsible for 96 percent of all cancellations on the European exchange during the two months when he used the computer program; (2) on the Chicago Mercantile Exchange 35.61% of Coscia's small orders were filled, but only 0.08% of his large orders were filled; (3) the designer of the computer program offered devastating testimony that the computer programs were made to avoid large orders being filled and that "quote orders" were used to "pump" the market; (4) only 0.57% of Coscia's large orders were on the market for more than a single second, but 65% of Coscia's large orders were open on the market for more than a second; and (5) Coscia's order-to-trade ratio was 1,592% and that ratio for other market participants was between only 91% and 264%, which meant that Coscia's average order was far greater than his average trade. The Seventh Circuit found that while "no single piece of evidence necessarily established spoofing" the proof taken together allowed jurors to determine that Coscia entered his orders with the intent to cancel them before execution.

Coscia argued that the anti-spoofing statute was impermissibly vague and attempted to equate his conduct with various legal trading strategies such as "stop-loss orders" (an order to sell when a certain price is reached), "fill-or-kill orders" (an order that must be filled immediately or it's fully cancelled), "partial-fill" orders (a pre-programmed order that cancels the balance of an order once a portion is filled), "Good-til-date orders" (orders that cancel with a defined period of time), "ping orders" (small orders used to detect trading activity), or "iceberg" or hidden quantity orders" (orders designed to obscure the underlying supply or demand). The Court, unpersuaded by these arguments, found that those trading strategies were markedly different from what Coscia did because they are designed to be executed under certain conditions whereas Coscia's large orders "were designed to evade execution" altogether.

Despite mounting a vigorous defense, Coscia was found to have "designed a system that used large orders to inflate or deflate prices, while also structuring that system to avoid the filling of large orders." Coscia essentially made, pumped, and then dumped the market in milliseconds, profiting enormously in a matter of seconds. While Coscia's evidence of spoofing was circumstantial it was also clear and the U.S. Supreme Court denied his petition for certiorari.42 However, there may be closer calls in the near future. The second spoofing trial involving a Swiss trader in the District of Connecticut resulted in six of the seven counts being dismissed for lack of venue and an acquittal on the remaining charge. This past spring federal prosecutors in Chicago dismissed spoofing charges against a software developer after his trial ended in a hung jury. The software developer’s $24,200 program was alleged to have aided a trader with a $40 million spoofing scheme of S&P 500 futures that caused a “flash crash” on the equity markets in May of 2010.

There may be more challenges in the future as high-frequency trading and technology continue to evolve. The introduction and use of artificial intelligence to effectuate high-frequency trading could obfuscate spoofing's intent element and allow for a more persuasive defense about an individual's intent to cancel trades before execution.

Some forms of intent require an examination of a decisionmaker or actor’s basis for conduct. The AI in that section placed trading orders, consummating some of them and rapidly withdrawing or changing others. It is possible that the algorithm was engaging in spoofing. The evidence, however, will likely be equivocal. 

The designer of the algorithm will have tens of thousands of legitimate transactions to point to for every dozen or so withdrawn orders. The Black Box Problem ensures that there is no way to determine what the AI’s particular strategy is. 

Unlike the first generation of algorithms discussed earlier, there will not be instructions somewhere in the AI’s programming that are designed to engage in spoofing,  so there will not be testimony from the AI’s designer to that effect, as there was in Coscia.

Flash crash is a very rapid, deep, and volatile fall in security prices occurring within an extremely short time period. A flash crash frequently stems from trades executed by black-box trading, combined with high-frequency trading, whose speed and interconnectedness can result in the loss and recovery of billions of dollars in a matter of minutes and seconds.

May 6, 2010, is a date that should live in infamy. On that day, the US stock market suffered a trillion-dollar collapse..

In just 15 minutes from 2:45 pm, the Dow Jones plunged by almost 9 percent. Had it stuck, it would have been among the famous index’s biggest declines in a single day. Hundreds of billions of dollars were wiped off the face value of famous companies in the S&P 500. Stocks in some companies were trading for a single cent.

Almost as soon as the sleepless Wall Street traders had time to adjust to the nightmare scenario unfolding in front of them, the market began to rebound. Within another fifteen minutes, almost all of the losses had been recovered.

It was one of those moments where you can only marvel at the absurdity of what it is to be a modern human. The numbers on the Dow Jones index are just numbers; the value they represent is, more than ever before, based on perceptions: stories we tell each other about companies and the economy.


A flash crash, like the one that occurred on May 6, 2010, is exacerbated as computer trading programs react to aberrations in the market, such as heavy selling in one or many securities, and automatically begin selling large volumes at an incredibly rapid pace to avoid losses 

What started as a statement from Apple citing a weak Chinese economy caused investors and traders to sell out of currencies that were viewed as risky. The result was selling out of the Australian dollar, which is a key trading partner of China


Sarao and his company, Nav Sarao Futures Limited, allegedly made more than $40 million in profit from trading from 2009 - 2015.



Algorithmic trading (also called automated trading, black-box trading, or algo-trading) uses a computer program that follows a defined set of instructions (an algorithm) to place a trade. The trade, in theory, can generate profits at a speed and frequency that is impossible for a human trader.

The defined sets of instructions are based on timing, price, quantity, or any mathematical model. Apart from profit opportunities for the trader, algo-trading renders markets more liquid and trading more systematic by ruling out the impact of human emotions on trading activities.

Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume to send small slices of the order (child orders) out to the market over time. They were developed so that traders do not need to constantly watch a stock and repeatedly send those slices out manually. 

Popular "algos" include Percentage of Volume, Pegged, VWAP, TWAP, Implementation shortfall, Target close. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders.

Algo-trading provides the following benefits:---

Trades are executed at the best possible prices.
Trade order placement is instant and accurate (there is a high chance of execution at the desired levels).
Trades are timed correctly and instantly to avoid significant price changes.
Reduced transaction costs.
Simultaneous automated checks on multiple market conditions.
Reduced risk of manual errors when placing trades.
Algo-trading can be backtested using available historical and real-time data to see if it is a viable trading strategy.
Reduced the possibility of mistakes by human traders based on emotional and psychological factors.
Most algo-trading today is high-frequency trading (HFT), which attempts to capitalize on placing a large number of orders at rapid speeds across multiple markets and multiple decision parameters based on preprogrammed instructions.

Algo-trading is used in many forms of trading and investment activities including:---

Mid- to long-term investors or buy-side firms—pension funds, mutual funds, insurance companies—use algo-trading to purchase stocks in large quantities when they do not want to influence stock prices with discrete, large-volume investments.
Short-term traders and sell-side participants—market makers (such as brokerage houses), speculators, and arbitrageurs—benefit from automated trade execution; in addition, algo-trading aids in creating sufficient liquidity for sellers in the market.
Systematic traders—trend followers, hedge funds, or pairs traders (a market-neutral trading strategy that matches a long position with a short position in a pair of highly correlated instruments such as two stocks, exchange-traded funds (ETFs) or currencies)—find it much more efficient to program their trading rules and let the program trade automatically.
Algorithmic trading provides a more systematic approach to active trading than methods based on trader intuition or instinct.

It is widely used by investment banks, pension funds, mutual funds, and hedge funds because these institutional traders need to execute large orders in markets that cannot support all of the size at once.

Quantitative trading consists of trading strategies based on quantitative analysis, which rely on mathematical computations and number crunching to identify trading opportunities. Price and volume are two of the more common data inputs used in quantitative analysis as the main inputs to mathematical models.

Quant trading strategies exist, ranging from arbitrage to high-frequency trading,

.Quant traders develop trading strategies such as algorithmic trading and high-frequency trading based on quantitative analysis that rely on mathematical computations to identify optimal trading opportunities. ... Enhancing existing machine learning and AI models for price, volume and risk management strategies.

Spoofing is the act of placing orders to give the impression of wanting to buy or sell shares, without ever having the intention of letting the order execute to temporarily manipulate the market to buy or sell shares at a more favorable price. This is done by creating limit orders outside the current bid or ask price to change the reported price to other market participants. The trader can subsequently place trades based on the artificial change in price, then canceling the limit orders before they are executed.

Suppose a trader desires to sell shares of a company with a current bid of $20 and a current ask of $20.20. The trader would place a buy order at $20.10, still some distance from the ask so it will not be executed, and the $20.10 bid is reported as the National Best Bid and Offer best bid price. 

The trader then executes a market order for the sale of the shares they wished to sell. Because the best bid price is the investor’s artificial bid, a market maker fills the sale order at $20.10, allowing for a $.10 higher sale price per share. The trader subsequently cancels their limit order on the purchase he never had the intention of completing.

Broadly defined, high-frequency trading (aka, “black box” trading) refers to automated, electronic systems that often use complex algorithms (strings of coded instructions for computers) to buy and sell much faster and at much greater scale than any human could do (though, ultimately, people oversee these systems)..

According to Nasdaq, there are two types: execution trading (when an order is executed via a computerized algorithm designed to get the best possible price), and a second type that seeks “small trading opportunities.”

HFT comprises about half of overall U.S. equity trading, according to several estimates, and it’s been around that level for a few years now.  Billions of shares changes hands each day on major U.S. exchanges including NYSE, Nasdaq, and Cboe,

How “fast” is fast? Blink, and you’ll miss it. Today’s increasingly powerful computers can execute thousands, if not millions, of transactions in seconds, and HFT is often measured in milliseconds (thousandths of a second) or microseconds (millionths of a second).

For perspective, a blink of your eye takes about 400 milliseconds, or four-tenths of a second. In high-frequency trading, “we’re talking about unfathomably small amounts of time,”

“High-frequency” is often in the eye of the beholder. In a primitive example of high-frequency trading, European traders in the 1600s used carrier pigeons to relay price information ahead of competitors, according to market historians. The advent of telegraph service in the 1800s and early 1900s further accelerated the flow of market information.

Rothschild used a pigeon to fool and screw the John Bulls after the Battle of Waterloo- by a BACK SWING.


The image or notion of algorithmic traders as predators fleecing the average investor still lingers. Certain episodes, such as the “flash crash” of May 2010, or, more recently, the U.S. market’s sharp swings in December 2018, often raise questions in financial media about whether algos exacerbate volatility.

And indeed, regulators such as the U.S. Securities and Exchange Commission have in recent years fined some high-frequency traders for price manipulation or other fraudulent trading.

How is high-frequency trading beneficial to the markets?

Such traders contribute vital liquidity to markets, helping narrow bid-ask spreads and bringing buyers and sellers together efficiently. Ultimately, this can help bring down costs for investors,
Investment firms need to stay one step ahead in order to be the first to recognize trends and take advantage of opportunities. 

To stay competitive they are looking to employ the most advanced tools to enhance performance. Algorithmic trading is now a growing trend filling this void. Algorithmic “Buy” and “Sell” orders account for 70% of the US equity market volume. Previously, only large investment firms and hedge funds were able to utilize these advanced mathematical models

There are however, two types of algorithmic trading that are very distinguishable. The first is high frequency trading (HFT). The advantage of this form of algotrading is to be quicker than the rest of the market, but it only can be utilized by a select group of traders and there are extensive consequences that affect the entire market. 

The system is not “smart” or provides any real valuable insight for investors as it only blindly follows short-term trends. This form of algotrading is also publically ethically debated. The second form of algotrading, utilized by the I Know First self-learning algorithm is called quantitative trading. This form provides valuable market insight to retail and professional trader alike that is used in conjunction with traditional forms of analysis. 

Algorithmic traders benefit from this “second opinion” in their decision making process by verifying their own analysis or discovering new market opportunities while still maintaining complete control of their portfolio.

The main goal of High Frequency trading is to extract a lot of small returns gained in very short period of time that do the actual trading for investment firms with real time intelligence and can trade in milliseconds. HFT technological costs are enormous and there is high competition amongst firms. 

Typically an HFT operates online using real-time data about transactions utilizing tremendous amounts of data in real time. In order to extract these small returns, the algorithm must be able to execute very quickly, which claims high demand on CPU performance (central processor unit) and memory handling. The algorithm then must minimize the amount of data used for decision-making. 

The most common type of algorithm used is called “one-pass.” As the title suggests, this algorithm reads each new piece of information only once and then tosses it away. Such algorithms usually operate with aggregated data dating back to five minutes of history to create a one-minute projection into the future. Based on this projection the algorithm makes decision on quotes and trades.

As competition is increasing with HFT, performance of each HFT algorithm becomes more decisive in the effectiveness of the system. This performance is highly dependent on infrastructure, representing a large proportion of expenses related to High Frequency Trading. Literally every meter of cable matters and the algorithm may lose its advantage of speed in any moment, significantly threatening the ability to make a profit.

The reason speed is imperative is that HFT works by placing and quickly canceling orders to find the price buyers and sellers are ready to trade at. This price-volume information is used to recognize developing trends. At the end of the day, they liquidate positions. Since these algorithms are so effective at moving capital, they have become quite controversial because retail investors are not able to compete. 

These algorithms can simultaneously process volumes of information at a rate no human can process, giving investment firms a huge advantage. This allows HFT traders to have the first choice in trades, a form of scalping. All in all, these algorithms add an extra element of volatility and have been at least partially responsible for market crashes in the past. In a crisis, these HFT algorithms liquidate positions in seconds, causing huge imbalances and price swings.

This risk is currently present. One notable example is the May 6, 2010 Flash Crash. As the US stocks traded down most of the day due to the debt crisis in Greece, the market dropped 600 points at 2:42 pm, on top of the 300 points it was already down for an almost 1000 point loss for the day. By 3:07 pm the market regained most of the 600-point drop back. 

Even though the algorithms were able to correct most of the damage the flash crash left a scar on the market. In the 17 of the 25 months since then investors have withdrawn a net $137 billion out of the U.S. stock market according to Lipper. Since a level field is needed to give everyone an equal chance, several European countries and Canada are curtailing or banning HFT due to concerns about volatility and fairness.

Quantitative Trading
The second form of algorithmic trading is known as quantitative trading or longer term trading. These algorithms analyze the structure and the trends in the market, find predictable patterns, and investors trade upon these machine-derived forecasts. This form of trading is very suitable for most investors, retail or professional. The I Know First predictive algorithm belongs to the second form of algorithmic trading.

While we cannot speak on every algorithm meant to predict the market, the I Know First market prediction system is based on artificial intelligence (AI), machine learning (ML), as well as utilizes elements of artificial neural networks and genetic algorithms. Machine learning provides an innate acumen to our comprehension of market dynamics and behavior. The algorithm has a built-in general mathematical framework that generates and verifies statistical hypotheses about stock price development. 

Machine learning tools such as artificial neural networks make this prediction system self-learning, and consistently determined to become more precise. This framework is used to generate initial testing models over a test sample of data. 

The goal of this phase is to validate the accuracy of the algorithm as well as to fine-tune the fitness function, which represents the actual goal of the algorithm expressed as a mathematical function. When the algorithm finds the global minimum of the fitness function attached to one of the models generated, it fulfills its goal. 


From the mathematical perspective finding a global minimum is a very complex task and bears a risk of finding a local minimum, which seems to be global from the perspective of surroundings of the point but there can be found points less than that one. The situation is illustrated in the figure above. 

To increase the chance of finding the global minimum, we need to combine multiple searching procedures. When the algorithm proves its ability to generate valid results over the sample data, we can then use it to real data analysis. Every run the algorithm improves its predictive ability, as it generates new models and verifies them to the fitness function, therefore providing better and better results.

Algorithmic Trading With The I Know First Market Prediction System
Many investors hear about algorithmic trading in the news but are not sure how they can use algorithms to their advantage. There are many successful strategies that can be easily applied with the I Know First algorithm that are discussed in detail here. In general however, algorithms can help protect investors from human factors such as their own biases, psychological pressures, the omnipresent market risk, and fluctuating volatility.

The I Know First algorithm has two indicators that guide investors to making better financial decisions. The first indicator is the signal, which gives the direction and the relative “scale” of the predicted movement of an asset, while also giving the level of confidence the algorithm has for that prediction, called the predictably indicator. This indicator is based on the past performance of the corresponding predictor. Both of these parameters are important and as a general rule, regardless of the type of forecast, the higher both are the better. It is recommended to consider both the signal strength and predictability. 


Investors stand to benefit from using the I Know First advanced algorithmic system because algotrading allows for objective valuation of assets, quantitative forecasts of the future trends for six different time horizons at a very low expense to receive daily predictions. 

Plus investors can have the option to get up to twenty top recommendations of stocks, currencies, ETF’s, commodities, world indices and even customized predictions that can be added with any forecast. Utilizing the immense amount of selections available, an investor can design a well-diversified portfolio that has scalable predictions to support each decision for every component.

Algorithms play a role in virtually every technology we have contact with including our favorite mobile applications, to search engines and social media networks that we use daily. So it is natural that we as investors in this hi-tech world utilize algorithms to help us invest better. 

Even in the 21st century, some are skeptical about whether or not an algorithm can really make a difference in a portfolios return. Well the I Know First algorithm returned 60.66% in 2013, beating the S&P 500 by over 30%. These results are constantly improving as the algorithm learns from its successes and failures. However in the skeptic’s defense, not all algorithms are created equally but the I Know First self-learning algorithm is unique and cannot be whipped up by published formulas.

The I Know First self-learning algorithm is a predictive model based on artificial intelligence, machine learning, incorporating elements of artificial neural networks and genetic algorithms. 

HFT algorithms typically involve two-sided order placements (buy-low and sell-high) in an attempt to benefit from bid-ask spreads. HFT algorithms also try to “sense” any pending large-size orders by sending multiple small-sized orders and analyzing the patterns and time taken in trade execution


High-frequency trading (HFT) is an automated trading strategy that uses decision making algorithms, supercomputing power, and low-latency trading technology to exploit market pricing inefficiencies for profit.    HFT strategies require investors to trade in high volumes and are most profitable in volatile markets, making HFT a convenient scapegoat for market instability.

Anomaly detection is a technique used to identify unusual patterns that do not conform to expected behavior, called outliers

Anomaly detection (or outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data.

Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances. It is often used in preprocessing to remove anomalous data from the dataset.

Anomaly Detection is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations. Such “anomalous” behaviour typically translates to some kind of a problem like a credit card fraud, failing machine in a server, a cyber attack, etc.

Conventionally, businesses use fixed set of thresholds to identify metrics that cross the threshold, to mark them as anomalies.

An anomaly can be broadly categorized into three categories –

Point Anomaly: A tuple in a dataset is said to be a Point Anomaly if it is far off from the rest of the data.
Contextual Anomaly: An observation is a Contextual Anomaly if it is an anomaly because of the context of the observation.
Collective Anomaly: A set of data instances help in finding an anomaly.


It can be done in the following ways – 

Supervised Anomaly Detection: This method requires a labeled dataset containing both normal and anomalous samples to construct a predictive model to classify future data points. The most commonly used algorithms for this purpose are supervised Neural Networks, Support Vector Machine learning, K-Nearest Neighbors Classifier, etc.


Unsupervised Anomaly Detection: This method does require any training data and instead assumes two things about the data ie Only a small percentage of data is anomalous and Any anomaly is statistically different from the normal samples. Based on the above assumptions, the data is then clustered using a similarity measure and the data points which are far off from the cluster are considered to be anomalies.  .  

Unsupervised anomaly detection techniques detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances that seem to fit least to the remainder of the data set.

Since detecting anomalies is a fairly generic task, a number of different machine learning algorithms have been created to tailor the process to specific use cases.

Here are a few common types:--

Detecting suspicious activity in a time series, for example a log file. Here, the dimension of time plays a huge role in the data analysis to determine what is considered a deviation from normal patterns.
Detecting credit card fraud based on a feed of transactions in a labeled dataset of historical frauds. In this type of supervised learning problem, we can train a classifier to classify a transaction as anomalous or fraudulent given that we have a historical dataset of known transactions, authentic and fraudulent.
Detecting a rare and unique combination of a real estate asset’s attributes — for instance, an apartment building from a certain vintage year and a rare unit mix. At Skyline AI, we use these kinds of anomalies to capture interesting rent growth correlations and track down interesting properties for investment.

An anomaly is an extremely rare episode, hard to assign to a specific class, and hard to predict. It is an unexpected event, unclassifiable with current knowledge. It's one of the hardest use cases to crack in data science because:

The current knowledge is not enough to define a class.  More often than not, no examples are available in the data to describe the anomaly

So, the problem of anomaly detection can be easily summarized as looking for an unexpected, abnormal event of which we know nothing and for which we have no data examples. As hopeless as this may seem, it is not an uncommon use case.

Fraudulent transactions, for example, rarely happen and often occur in an unexpected modality
Expensive mechanical pieces in IoT will break at some point without much indication on how they will break

A new arrhythmic heart beat with an unrecognizable shape sometimes shows up in ECG tracks
A cybersecurity threat might appear and not be easily recognized because it has never been seen before

Anomaly detection is a monitoring mechanism, in which a system keeps an eye on important key metrics of the business, and alerts users whenever there is a deviation from normal behavior. 

Conventionally, businesses use fixed set of thresholds to identify metrics that cross the threshold, to mark them as anomalies. However, this method is reactive in nature, which means by the time businesses recognize threshold violations, the damage caused would have amplified multi-fold. What is needed, is a system that constantly monitors data streams for anomalous behavior, and alert users in real-time to facilitate timely action.

Anomaly detection algorithms are capable of analyzing huge volumes of historical data to establish a ‘Normal’ range, and raising red flags when outliers are seen to be deviating from the tolerable range.

A good anomaly detection system should be able to perform the following tasks:--

Identification of signal type and select appropriate model
Forecasting thresholds
Anomaly identification and scoring
Finding root cause by correlating various identified anomalies
Obtaining feedback from users to check quality of anomaly detection
Re-training of the model with new data


Anomalies are identified whenever a particular metric moves beyond the specified threshold. However, it is important to quantify the magnitude of deviation of the anomaly, in order to prioritize which anomaly needs to be investigated/solved first. In the scoring phase, each anomaly is scored as per the magnitude of deviation from median or based on how long the deviated metric sustains from normal behavior. Larger the deviation, higher the score.

Anomaly detection systems are usually designed around tight bounds to highlight deviation quickly, but in the process sometimes these systems raise many false alarms. In fact, false positives is known to be one of the prevalent issues in the area of anomaly detection. 

One cannot underrate the flexibility that needs to be provided to end user, to change the status of a data point from anomaly to normal. After receiving this feedback, models needed to be updated/retrained to avoid identified false positives from recurring.

The system needs to re-train on new data continuously, to adapt as per the newer trends. It is possible that the pattern itself does change due to the change in operating environment, rather than anomalous deviating behavior. However, there should be a balance in the mechanism. Updating the model too frequently requires excessive amount of computational resources, and lower frequency of updating results in a deviation of the model from the actual trend.

Overall, anomaly detection is gaining increased importance in recent years, due to exponential growth of available data, and the absence of impactful mechanisms to use this data. Anomaly detection systems are better fit in identifying significant deviations, and at the same time ignoring the not worthy noises from the ocean of data — enabling business with the right alarms and insights at the right time.

AI and ML have made it a bit easier to detect the proliferation of malware and identify early on in the lifecycle if a file/resource is showing signs of belligerent behaviour. This level of automation has been possible with pattern detection, behaviour-based anomaly detection and advanced use of heuristics – all based on Machine-learned solutions – to keep the intruders out.

Anomaly detection is applicable in a variety of domains, such as intrusion detection, fraud detection, fault detection, system health monitoring, event detection in sensor networks, and detecting ecosystem disturbances. It is often used in preprocessing to remove anomalous data from the dataset. The most simple, and maybe the best approach to start with, is using static rules. 

The Idea is to identify a list of known anomalies and then write rules to detect those anomalies. Rules identification is done by a domain expert, by using pattern mining techniques, or a by combination of both. Unsupervised machine learning algorithms, however, learn what normal is, and then apply a statistical test to determine if a specific data point is an anomaly. 

A system based on this kind of anomaly detection technique is able to detect any type of anomaly, including ones which have never been seen before. Anomaly detection is the process of identifying unexpected items or events in datasets, which differ from the norm. ... 

By publishing the source code and the datasets, this paper aims to be a new well-funded basis for unsupervised anomaly detection researchA statistical anomaly occurs when something falls out of normal range for one group, but not as a result of being in that group

Anomalies are problems that can occur in poorly planned, un-normalised databases where all the data is stored in one table (a flat-file database). Insertion Anomaly - The nature of a database may be such that it is not possible to add a required piece of data unless another piece of unavailable data is also added

In particular, in the context of abuse and network intrusion detection, the interesting objects are often not rare objects, but unexpected bursts in activity. This pattern does not adhere to the common statistical definition of an outlier as a rare object, and many outlier detection methods (in particular unsupervised methods) will fail on such data, unless it has been aggregated appropriately. Instead, a cluster analysis algorithm may be able to detect the micro clusters formed by these patterns.

Anomaly detection is one AI approach in particular that could help banks identify fraudulent transactions and transfers. With predictive analytics, banks could both detect fraud and score transactions by risk level based on a wider range of customer data.

Teradata is an AI firm selling fraud detection solutions to banks. They claim their machine learning platform can enhance banking fraud detection by helping their data analytics software recognize potential fraud cases while avoiding acceptable deviations from the norm. In other cases, these deviations may be flagged and end up as false positives that offer the system feedback to “learn” from its mistakes.

They were able to:--

Reduce their false positives by 60% and were expected to reach 80% as the machine learning model continued to learn.
Increase detection of real fraud by 50%
Refocus their time and resources toward actual cases of fraud and identifying new fraud methods.

Machine learning models for fraud detection can also be used to develop predictive and prescriptive analytics software. Predictive analytics offers a distinct method of fraud detection by analyzing data with a pre-trained algorithm to score a transaction on its fraud riskiness.

Prescriptive analytics takes the predictions made from the correlations of a predictive analytics engine and uses it to provide recommendations for what to do once fraud is detected.

Both predictive and prescriptive analytics software require the same data and training to implement. Banking data experts or data scientists employed by the client bank will need to label a high volume of transactions as either fraudulent or legitimate, and then run all of them though the machine learning model. This allows the machine learning model to be able to recognize fraud methods used in the fraudulent transactions.

Defenses Against Data Poisoning--
Similar to evasion attacks, when it comes to defenses, we’re in a hard spot. Methods exist but none guarantee robustness in 100% of cases.
The most common type of defenses is outlier detection, also knows as “data sanitization” and “anomaly detection”. The idea is simple — when poisoning a machine learning system the attacker is by definition injecting something into the training pool that is very different to what it should include — and hence we should be able to detect that.
The challenge is quantifying “very”. Sometimes the poison injected is indeed from a different data distribution and can be easily isolated:

An interesting twist on anomaly detection is micromodels. The Micromodels defense was proposed for cleaning training data for network intrusion detectors. The defense trains classifiers on non-overlapping epochs of the training set (micromodels) and evaluates them on the training set. 

By using a majority voting of the micromodels, training instances are marked as either safe or suspicious. Intuition is that attacks have relatively low duration and they could only affect a few micromodels at a time.

Anomaly detection has been used in predictive analytics now for several years. By analyzing the data, this function pinpoints activities outside the normal operations and expectations, whether those activities were good or bad.

By building upon the foundation of anomaly detection, contribution analysis provides you with the context in which an activity occurred. It will investigate the anomaly and analyze the data, which affords you with the actionable areas on which to focus your efforts. Scientists from Google’s health-tech subsidiary have pioneered innovative ways of creating revolutionary healthcare insights through artificial intelligence prediction algorithms.










WHAT IS "DEATH BY ALGORITHM "?


IT IS THE BLATANT MISUSE OF ARTIFICIAL INTELLIGENCE .. PALESTINIANS  HAVE BEEN AT THE RECEIVING END ..

On balakot night Indian airforce shot down their own helicopter .. the blame was squarely put of automation gone awry..

Deliberate economic crashes are now blamed on ai algorithms.. A “flash crash” had occurred in 2010, during which the market went into freefall for five traumatic minutes, then righted itself over another five – for no apparent reason.

But what is an algorithm? In fact, the usage has changed in interesting ways since the rise of the internet – and search engines in particular – in the mid-1990s. At root, an algorithm is a small, simple thing; a rule used to automate the treatment of a piece of data. If a happens, then do b; if not, then do c. This is the “if/then/else” logic of classical computing.

When ai automation is first tried out,, it is first used on denizens of third world nations.. In this aircraft humans could not veto automation and take over the control to manual..


We must ban Lethal autonomous weapons (LAWS) –using AI  technology to replace the humans with an algorithm that makes the decision of when to shoot or whom to shoot.

Millions of inncocent women and children were killed from the air in Libya/ Iraq/ Syria/ yemen..  the un turns a nelsons’s eye because jews are not killed this way..

As early as  2007, Noel Sharkey published a dire warning in The Guardian titled “Robot Wars Are a Reality.” An expert in artificial intelligence and robotics, Sharkey expressed concern about the use of battlefield robots; electronic soldiers that act independently of any human control.

Sharkey argued that we “are sleepwalking into a brave new world where robots decide who and when to kill.” 

War is no longer fought primarily on the battlefield. Developments in computing, cyber warfare and artificial intelligence, have changed the way nations and non-state actors engage in hostilities. 

Technologies which enable point and shoot (or click) destruction are growing exponentially year by year, fuelled by a digital revolution that has ricocheted across the globe. Nations have realized that today’s conflicts are waged by 1s and 0s, and that algorithms can be trusted allies in the never ending war. It is now essential for the world to grasp the reality that robot wars are no longer just the fictive imaginings of science fiction..

Can robots and drones be programmed to comply with international human rights law? Since computers are susceptible to viruses and hacking, it is also feasible to assume that the systems which control killer robots could be overtaken by state and non-state actors.


The 18th of March 2018, was the day tech insiders had been dreading. That night, a new moon added almost no light to a poorly lit four-lane road in Tempe, Arizona, as a specially adapted Uber Volvo XC90 detected an object ahead.

 Part of the modern gold rush to develop self-driving vehicles, the SUV had been driving autonomously, with no input from its human backup driver, for 19 minutes. An array of radar and light-emitting lidar sensors allowed onboard algorithms to calculate that, given their host vehicle’s steady speed of 43mph, the object was six seconds away – assuming it remained stationary. 

But objects in roads seldom remain stationary, so more algorithms crawled a database of recognizable mechanical and biological entities, searching for a fit from which this one’s likely behavior could be inferred.

At first the computer drew a blank; seconds later, it decided it was dealing with another car, expecting it to drive away and require no special action. Only at the last second was a clear identification found – a woman with a bike, shopping bags hanging confusingly from handlebars, doubtless assuming the Volvo would route around her as any ordinary vehicle would. 

Barred from taking evasive action on its own, the computer abruptly handed control back to its human master, but the master wasn’t paying attention. Elaine Herzberg, aged 49, was struck and killed, leaving more reflective members of the tech community with two uncomfortable questions: was this algorithmic tragedy inevitable? And how used to such incidents would we, should we, be prepared to get?

When some embedded software experts spent 20 months digging into the code were they able to prove the family’s case, revealing a twisted mass of what programmers call “spaghetti code”, full of algorithms that jostled and fought, generating anomalous, unpredictable output. 


The autonomous cars currently being tested may contain 100m lines of code and, given that no programmer can anticipate all possible circumstances on a real-world road, they have to learn and receive constant updates. How do we avoid clashes in such a fluid code milieu, not least when the algorithms may also have to defend themselves from hackers?

In some ways we’ve lost agency. When programs pass into code and code passes into algorithms and then algorithms start to create new algorithms, it gets farther and farther from human agency. Software is released into a code universe which no one can fully understand..

At core, computer programs are bundles of such algorithms. Recipes for treating data. On the micro level, nothing could be simpler. If computers appear to be performing magic, it’s because they are fast, not intelligent.


Recent years have seen a more portentous and ambiguous meaning emerge, with the word “algorithm” taken to mean any large, complex decision-making software system; any means of taking an array of input – of data – and assessing it quickly, according to a given set of criteria (or “rules”). This has revolutionized areas of medicine, science, transport, communication, making it easy to understand the utopian view of computing that held sway for many years.

f we tend to discuss algorithms in almost biblical terms, as independent entities with lives of their own, it’s because we have been encouraged to think of them in this way. Corporations like Facebook and Google have sold and defended their algorithms on the promise of objectivity, an ability to weigh a set of conditions with mathematical detachment and absence of fuzzy emotion. No wonder such algorithmic decision-making has spread to the granting of loans/ bail/benefits/college places/job interviews and almost anything requiring choice.

far from eradicating human biases, algorithms could magnify and entrench them. After all, software is written by overwhelmingly affluent white men – and it will inevitably reflect their assumptions ..Bias doesn’t require malice to become harm, and unlike a human being, we can’t easily ask an algorithmic gatekeeper to explain its decision..


Big companies like Google “algorithmic audits” of any systems directly affecting the public, a sensible idea that the tech industry will fight tooth and nail, because algorithms are what the companies sell; the last thing they will volunteer is transparency.

We might call these algorithms “dumb”, in the sense that they’re doing their jobs according to parameters defined by humans. The quality of result depends on the thought and skill ( and human biases like with Palestinians and roma gypsies ) with which they were programmed.

At the other end of the spectrum is the more or less distant dream of human-like artificial general intelligence, or AGI. A properly intelligent machine would be able to question the quality of its own calculations, based on something like our own intuition (which we might think of as a broad accumulation of experience and knowledge). 

To put this into perspective, Google’s DeepMind division has been lauded for creating a program capable of mastering arcade games, starting with nothing more than an instruction to aim for the highest possible score.




https://www.vox.com/2019/6/21/18691459/killer-robots-lethal-autonomous-weapons-ai-war


Currently, the use of multiple UAVs in drone swarms is garnering huge interest from the research community, leading to the exploration of topics such as UAV cooperation, multi-drone autonomous navigation, etc.

Researchers have been working on UAV pursuit-evasion based on two probable approaches.  Researchers propose the use of vision-based deep learning object detection and reinforcement learning for detecting and tracking a UAV (target or leader) by another UAV (tracker or follower).

The proposed framework uses vision data captured by a UAV and deep learning to detect and follow another UAV. The algorithm is divided into two parts, the detection of the target UAV and the control of UAV navigation (follower UAV). The deep reinforcement learning approach uses a deep convolutional neural network (CNN) to extract the target pose based on the previous pose and the current frame.

The network works like a Q-learning algorithm. The output is a probabilistic distribution between a set of possible actions such as translation, resizing (e.g., when a target is moving away), or stopping. For each frame from the captured sequence, the algorithm iterates over its predictions until the network predicts a “stop” when the target is within the desired position.

Q-learning is a model-free reinforcement learning algorithm. The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances. It does not require a model (hence the connotation "model-free") of the environment, and it can handle problems with stochastic transitions and rewards, without requiring adaptations.


Q-learning algorithm involves an agent, a set of states and a set of actions per state. It uses Q-values and randomness at some rate to decide which action to take.


The second approach uses deep learning object detection for the detection and tracking of a UAV in a pursuit-evasion scenario. The deep object detection approach uses images captured by a UAV to detect and follow another UAV. This approach uses historical detection data from a set of image sequences and inputs this data to a SAP algorithm in order to locate the area with a high probability UAV presence.

The proposed framework uses images captured by a UAV and a deep learning network to detect and follow another UAV in a pursuit-evasion scenario. The position of the detected target UAV (detected bounding box) is sent to a high-level controller that decides on the controls to send to the follower UAV to keep the target close to the centre of its image frame.

In this work, researchers aim to develop architecture capable of tracking moving targets using predictions over time from a sequence of previously captured frames. The proposed algorithm tracks the target and moves a bounding box according to each movement prediction. The architecture is based on an ADNet (action-decision network).

This work presents two approaches for UAV pursuit-evasion. The obtained results show that the proposed approach is effective in tracking moving objects in complex outdoor scenarios.

.SAP improved the detection of distant UAVs. The obtained results demonstrate the efficiency of the proposed algorithms and show that both approaches are interesting for a UAV pursuit-evasion scenario

Actors in our criminal justice system increasingly rely on computer algorithms to help them predict how dangerous certain people and certain physical locations are. These predictive algorithms have spawned controversies because their operations are often opaque and some algorithms use biased data. 

Yet these same types of predictive algorithms inevitably will migrate into the national security sphere, as the military tries to predict who and where its enemies are. Because military operations face fewer legal strictures and more limited oversight than criminal justice processes do, the military might expect – and hope – that its use of predictive algorithms will remain both unfettered and unseen


  1. https://timesofindia.indiatimes.com/india/no-privacy-left-for-anyone-whats-happening-asks-sc/articleshow/71913853.cms

    THE ILLEGAL COLLEGIUM JUDICIARY CONTROLLED BY THE JEWIS DEEP STATE HAS BLED BHARATMATA FOR TOO LONG..

    OUR KAYASTHA LAW MINISTER PRASAD IS A MOST USELESS FELLOW.. IN 1976 PRASAD WAS THE LACKEY OF CIA SPOOK KAYASTHA AND FELLOW BIHARI JP..

    http://ajitvadakayil.blogspot.com/2017/08/right-to-privacy-in-india-is-not.html

    IN 2017, THE UNION FINANCE MINISTRY, INDIA LAUNCHED ‘PROJECT INSIGHT‘ TO MONITOR HIGH VALUE TRANSACTIONS, INCLUDING MONITORING SOCIAL MEDIA ACCOUNTS, TO DETECT SPENDING PATTERNS AND TO COMPARE THESE WITH TAX RECORDS.

    THE UNION FINANCE MINISTRY ENTERED INTO A CONTRACT WORTH US$100 MILLION WITH L&T INFOTECH (LARSEN & TOUBRO) TO HELP WITH PROJECT INSIGHT.

    BENAMI MEDIA CRITICS ACCUSE THE PROJECT OF BEING VIOLATIVE OF INDIVIDUALS’ PRIVACY.

    SORRY--

    PRIVACY WILL BE AFFORDED ONLY TO LAW ABIDING CITIZENS , NOT PAKISTANI ISI FUNDED TRAITORS WHO WANT TO KILL BHARATAMATA..

    HOME MINISTER AMIT SHAH WAS THROWN INTO JAIL BY TRAITOR JUDICIARY TO PROTECTS PAKISTANI ISIS FUNDED TERRORIST SOHRABUDDIN.. ALL IT TOOK WAS A PIL FROM A PAKISTAN ISI CONTROLLED NGO..

    https://en.wikipedia.org/wiki/Death_of_Sohrabuddin_Sheikh

    capt ajit vadakayil
    ..



An illustration of old-fashioned balance scales weighing data in their pans.























  1. ANITA BOSE PFAFF WAS ON REPUBLIC TV JUST NOW..

    SHE CALLED ALL PEOPLE COMPARING GUMNAMI BABA TO GER FATHER NETAJI SUBHASH CHANDRA BOSE AS STUPID..

    SHE SAYS HE FATHER WAS A GREAT HERO AND WOULD NOT HIDE LIKE A RAT FOR 40 YEARS..

    AT LEAST THIS HALF BREED JEWESS ADMITTED THAT BOSE WAS HER FATHER..

    A SECRET DNA TEST WAS DONE USING HER HAIR WHEN BOSE LIED TO INA SOLDIERS " I HAVE NO CHILDREN AND YOU ARE MY CHILDREN"

    https://en.wikipedia.org/wiki/Anita_Bose_Pfaff

    EVEN TODAY HER DNA CAN BE MATCHED WITH THAT OF GUMNAMI BABA..

    NETAJI SUBHASH CHANDRA BOSE WAS AN AGENT OF JEW ROTHSCHILD ..

    THE WIFE OF BOSE EMILIE SCHENKL WAS A GERMAN JEWESS -- A HONEY TRAP-- PROVIDED BY JEW ROTHSCHILD..

    https://en.wikipedia.org/wiki/Emilie_Schenkl

    THERE WAS A SUPARI DEATH CONTRACT LAID OUT BY INA SOLDIERS TO KILL NETAJI SUBHASH CHANDRA BOSE..

    22,000 INDIANS ( INA SOLDIERS IN UNIFORM ) WERE EATEN BY JAPANESE SOLDIERS IN RABAUL ISLAND FOR DINNER AFTER DIGGING 640 KMS OF TUNNELS THROUGH HARD PUMICE ROCK.

    RABAUL ISLAND IS A PLACE OF PILGRIMAGE FOR JAPANESE WHOSE FATHERS AND GRANDFATHERS DIED DURING WW2..

    I HAVE SPOKEN TO HUNDREDS OF SUCH JAPANESE.. SOME CRY AND ADMIT THAT THEIR FATHER DID CANNIBALISM IN RABAUL TO SURVIVE..

    http://ajitvadakayil.blogspot.com/2011/08/netaji-subhash-chandra-bose-untold.html

    BALLS ANUJ DHAR IS AN EXPERT ON BOSE..

    BOSE TRIED TO TAKE OVER INDIA THRICE AS RULER-- ONCE WITH STALINs HELP.

    BOSE WAS PRESENT AT NEHRUs HUNERAL.. OVER 100 MPs SAW HIM.. BOSE WAS VIDEO GRAPHED .. BOSE DID NOT WEAR A DISGUISE.. THERE WAS A MASSIVE FURORE IN PARLIAMENT .. SHASTRI WAS SMART ENOUGH NOT TO ALLOW A COUP BY BOSE..

    BOSE WAS PRESENT AT THE TIME OF SHASTRIs DEATH ( THAT VERY HOUR ) IN THE TASHKENT HOTEL.. HE WAS VIDEO GRAPHED.. ONE OF MY RUSSIAN OFFICERs GRANDFATHER WAS IN KGB. INDIRA GANDHI JACKED HIM..

    BOSE WAS A COMMIE.. JEW STALIN TRIED TO MADE NETAJI BOSE RULE INDIA AS A COMMIE DICTATOR.. THE PLAN FELL PHUTT AS NEHRU TIPPED OFF BY CIA WARNED STALIN..

    A SHIP LOAD OF ARMS WOULD BE LANDED BY A RUSSIAN SHIP OFF VIZAG FOR A BLOOD REVOLUTION..

    I HAVE MENTIONED THIS GRUESOME INCIDENT AT THE END OF THE POST BELOW SEVEN YEARS AGO..

    http://ajitvadakayil.blogspot.com/2013/08/chinese-revolution-biggest-genocide-on.html

    IN 1941 , COMMIE SA DANGE ARRANGED FOR BOSE TO ESCAPE IN DISGUISE FROM INDIA TO AFGHANISTAN TO ITALY TO GERMANY.

    IN 1951 , FOUR INDIAN COMMIES LED BY SA DANGE ( BASAVA PUNIAH, AJOY GHOSH, C RAJSHWARA RAO ) STOWED AWAY ON A RUSSIAN SHIP FROM CALCUTTA TO MOSCOW TO MEET STALIN

    THE AGENDA WAS TO TAKE OVER INDIA BY A BL0ODBATH. .

    THE DAY STALIN MET THEM AFTER A LONG WAIT-- THERE WAS ANOTHER MAN LISTENING FROM BEHIND THE CURTAINS.

    BOTH STALIN AND BOSE SMOKED PIPES. . THE GERMAN PIPE TOBACCO OF BOSE WAS DISTINCT..

    BOSE, WROTE IN HIS BOOK INDIAN STRUGGLE (PUBLISHED IN 1935 IN LONDON), THAT INDIA NEEDED A POLITICAL SYSTEM THAT WAS A MIX OF FASCISM AND COMMUNISM — ( SAMYAVAD ) . HE WAS A FAN OF MUSSOLINI , ROTHSCHILD'S AGENT..

    BOSE WENT ALL THE WAY TO ROME IN 1935 TO PRESENT A COPY OF ABOVE BOOK TO ITALIAN DICTATOR BENITO MUSSOLINI. ROTHSCHILD WAS PRESENT IN THAT FUNCTION.

    IN THE INC MEETING AT CALCUTTA BOSE WORE A RIDICULOUS FIELD MARSHALLs UNIFORM AND A WAVED A SPECIALLY MADE FIELD MARSHALLs BAT0N.

    GANDHI, RIDICULED BOSE AND WROTE THAT IT LOOKED WORSE THAN BERTRAM MILLS CIRCUS.

    IN 1938, AT THE 51ST SESSION OF THE INC AT HARIPURA. BOSE WAS THE PRESIDENT.

    BOSE BEHAVED LIKE JULIUS CAESAR RETURNING TO ROME AFTER A TRIUMPHANT CAMPAIGN.

    ALL WERE APPALLED.

    BOSE SAT ON A CHARIOT DRAWN BY 54 BULLOCKS, ACCOMPANIED BY 54 WOMEN IN SAFFRON SARIS, AFTER A TWO-HOUR PROCESSION THROUGH 54 GATES .. 54 IS RELATED TO SRI YANTRA..

    BOSE REPEATED THIS RIDICULOUS POMPOUS AFFAIR IN SOUTHEAST ASIA WHEN HE TOOK CHARGE OF INDIAN NATIONAL ARMY AND INDIAN INDEPENDENCE LEAGUE.


    CONTINUED TO 2-
    .
    1. CONTINUED FROM 1--

      IN OCTOBER 1943, BOSE ANNOUNCED THE FORMATION OF ARZI HUKUMAT-I-AZAD HIND AND HE SHOCKED ALL WHEN HE PROMOTED HIMSELF AS HEAD OF STATE, PRIME MINISTER, AND MINISTER FOR WAR AND FOREIGN AFFAIRS .

      BOSE WAS NOT FOOLED INTO SENDING 22000 INA SOLDIERS TO RABAUL. THE INA SOLDIERS WENT IN BATCHES. WHEN THE LATER BATCHES CAME TO KNOW OF THE TUNNEL DIGGING AS COOLIES IN RABAUL ISLAND , THEY REFUSED TO GO. ..

      BOSE ALLOWED JAPS TO TORTURE AND KILL A FEW INA SOLDIERS AS AN EXEMPLARY WARNING. ..MY WIFEs UNCLE WAS THERE ..HE WENT MAD AND WALKED ALL THE WAY FROM AKYAB TO KANNUR ..

      AFTER JAPS WERE DEFEATED 7 INDIANS WHO DESERTED AND HID IN THE JUNGLES OF RABAUL SPILLED THE BEANS . . .

      THERE WAS A INA CONTRACT ON BOSEs HEAD .

      BOSE WAS NOT AFRAID OF BRITAIN --HE WAS AFRAID OF HIS OWN INA MEN-- AND HE HID FOR 40 YEARS --FAKED HIS DEATH TWICE. . .

      BOSE SPOKE TO JAPANESE STUDENTS OF TOKYO UNIVERSITY IN 1944 , -- -INDIA NEEDS TO HAVE A PHILOSOPHY THAT SHOULD BE A SYNTHESIS BETWEEN NATIONAL SOCIALISM (NAZISM) AND COMMUNISM..

      BOSE WAS THE NO 1 OPPORTUNIST OF THIS PLANET.. GANDHI SMELT BOSE AS A DOUBLE AGENT QUITE EARLY.. I ADMIRE GANDHI FOR THIS....

      BOSE WAS A KAYASTHA— INDIAs NO 1 TRAITOR CLAN.. BOSE WAS A COWARD RAT TOO..

      http://ajitvadakayil.blogspot.com/2019/07/we-never-heard-words-kayastha-and.html

      capt ajit vadakayil
      ..


  1. PRESIDENT TRUMP IS VISITING INDIA..

    CAPT AJIT VAADKAYIL DEMANDS FROM PM MODI-- DO NOT GET OVERAWED..

    THREE US PRESIDENTS REAGAN/ BUSH SR AND CLINTON ARE RESPONSIBLE FOR THE COCAINE ADDICTION OF USA.. THE WHITE HOUSE IS THE NO 1 CONSUMER OF COCAINE IN A SINGLE BUILDING WORLD WIDE.

    https://en.wikipedia.org/wiki/Miguel_%C3%81ngel_F%C3%A9lix_Gallardo

    MEXICAN COCAINE DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO RAN GUNS TO NICARAGUA FOR THE US PRESIDENT USING CIA AS A MEDIATOR.. THIS IS NO BIG SECRET..

    MATTA-BALLESTEROS WAS USED BY CIA FIRST TO ARM THE NICARAGUA CONTRAS TO BRING THE PATRIOTIC SANDINISTA GOVT DOWN..

    SANDINISTAS WERE BRANDED AS BAAAAD COMMIES BY REAGAN .. IN REALITY SANSDINISTAS KICKED OUT STEALING JEWISH OLIGARCHS FROM NICARAGUA..

    https://en.wikipedia.org/wiki/Juan_Matta-Ballesteros

    MEXICAN COCAINE DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO DROVE A WEDGE BETWEEN DEA AND CIA.. CIA WAS PROTECTING THIS DRUG LORD FROM DEA..

    DRUG LORD EL CHAPO WAS IN CAHOOTS WITH DEA.. WHEN HE WAS ESCAPING VIA A 1.8 KM LONG TUNNEL FROM JAIL, THE MEXICAN PRESIDENT AND US PRESIDENT WERE MONITORING THIS ESCAPE..

    https://en.wikipedia.org/wiki/Joaqu%C3%ADn_%22El_Chapo%22_Guzm%C3%A1n

    EL CHAPO FUNDED CIA/ DEA AND THE WHITE HOUSE -SO THAT THE US PRESIDENT CAN CIRCUMVENT US CONGRESS FOR SLUSH FUNDS TO CAUSE REGIME CHANGE WOLD WIDE..

    REGIME CHANGE IS ALL ABOUT PUTTING PUPPETS ON THRONES SO THAT JEWS CAN STEAL..

    CAPT AJIT VADAKAYIL ASKS NSA AJIT DOVAL.. YOU ARE NOW 75 YEARS OLD.. DYING YOUR HAIR BLACK CUTS NO ICE .. OTHER THAN BULLSHIT PAKISTANI STUFF, DO YOU UNDERSTAND WORLD INTRIGUE?.. CAN YOU EVEN UNDERSTAND ARTIFICIAL INTELLIGENCE? WHY DONT YOU FUCK OFF AND ALLOW SOMEONE YOUNGER AND MORE TECH SAVVY TO BE THE NSA ?

    CHAIWAALA MODI KNOWS NOTHING REPEAT NOTHING ABOUT WORLD INTRIGUE... SEE THE WAY HE BEHAVES WHEN DONALD TRUMP COMES TO INDIA..

    capt ajit vadakayil
    ..






CAPT AJIT VADAKAYIL
..

WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 13 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 12, BELOW--




OBJECTIVE AI CANNOT HAVE A VISION,   IT CANNOT PRIORITIZE,    IT CANT GLEAN CONTEXT,    IT CANT TELL THE MORAL OF A STORY ,   IT CANT RECOGNIZE A JOKE,    IT CANT DRIVE CHANGE,     IT CANNOT INNOVATE,  IT CANNOT DO ROOT CAUSE ANALYSIS ,   IT CANNOT MULTI-TASK,    IT CANNOT DETECT SARCASM,   IT CANNOT DO DYNAMIC RISK ASSESSMENT ,   IT IS UNABLE TO REFINE OWN KNOWLEDGE TO WISDOM,   IT IS BLIND TO SUBJECTIVITY,   IT CANNOT EVALUATE POTENTIAL,    IT CANNOT SELF IMPROVE WITH EXPERIENCE,    IT DOES NOT UNDERSTAND BASICS OF CAUSE AND EFFECT,    IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,     IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,   IT CANNOT MENTOR,    IT CANNOT BE CREATIVE,   IT CANNOT PATENT AN INVENTION,  IT CANNOT SEE THE BIG PICTURE ,  IT CANNOT FIGURE OUT WHAT IS MORALLY WRONG,  IT CAN BE FOOLED EASILY USING DECOYS WHICH CANT FOOL A CHILD,  IT IS PRONE TO CATASTROPHIC FORGETTING,   IT CANNOT EVEN SET A GOAL …  

ON THE CONTRARY IT CAN SPAWN FOUL AND RUTHLESS GLOBAL FRAUD ( CLIMATE CHANGE DUE TO CO2 ) WITH DELIBERATE BLACK BOX ALGORITHMS,  JUST FEW AMONG MORE THAN 40 CRITICAL INHERENT DEFICIENCIES.


1
https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
2
https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
3
https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do_29.html
4
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do.html
5
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_4.html
6
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_25.html
7
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_88.html
8
https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_15.html
9
https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_94.html
10
https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do.html
11
https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_1.html
12
https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do.html



  1. SOMEBODY CALLED ME UP AND ASKED ME..

    CAPTAIN—

    WHO IS MUHAMMAD IBN MUSA AL-KHWARIZMI WHOM MODERN HISTORIANS ARE CALLING THE “FATHER OF COMPUTER SCIENCE” AND THE “FATHER OF ALGORITHMS”??.

    LISTEN –

    ARAB MUHAMMAD IBN MUSA AL-KHWARIZMI WAS A BRAIN DEAD FELLOW WHOSE ENTIRE WORK WAS SOLD TO HIM TRANSLATED INTO ARABIC BY THE CALCIUT KING FOR GOLD.

    THE CALICUT KING MADE HIS MONEY BY NOT ONLY SELLING SPICES –BUT KNOWLEDGE TOO.

    HE MAMANKAM FEST HELF AT TIRUNAVAYA KERALA BY THE CALICUT KING EVERY 12 YEARS WAS AN OCCASION WHERE KNOWLEDGE WAS SOLD FOR GOLD.

    http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html

    EVERY ANCIENT GREEK SCHOLAR ( PYTHAGORAS/ PLATO/ SOCRATES ETC ) EXCEPT ARISTOTLE STUDIED AT KODUNGALLUR UNIVERSITY.. THE KERALA SCHOOL OF MATH WAS PART OF IT.

    OUR ANCIENT BOOKS ON KNOWLEDGE DID NOT HAVE THE AUTHORs NAME AFFIXED ON THE COVER AS WE CONSIDERED BOOKS AS THE WORK OF SOULS , WHO WOULD BE BORN IN ANOTHER WOMANs WOMB AFTER DEATH.

    THE GREEKS TOOK ADVANTAGE OF THIS , STOLE KNOWLEDGE FROM KERALA / INDIA AND PATENTED IT IN THEIR OWN NAMES, WITH HALF BAKED UNDERSTANDING .

    WHEN THE KING OF CALICUT CAME TO KNOW THIS, HE BLACKBALLED GREEKS FROM KODUNGALLUR UNIVERSITY .. AND SUDDENLY ANCIENT GREEK KNOWLEDGE DRIED UP LIKE WATER IN THE HOT DESERT SANDS.

    LATER THE CALICUT KING SOLD TRANSLATED INTO ARABIC KNOWLEDGE TO BRAIN DEAD ARABS LIKE MUHAMMAD IBN MUSA AL-KHWARIZMI FOR GOLD..

    THESE ARAB MIDDLE MEN SOLD KNOWLEDGE ( LIKE MIDDLEMEN FOR SPICES) TO WHITE MEN FOR A PREMIUM.

    FIBONACCI TOOK HIS ARABIC WORKS TO ITALY FROM BEJAYA , ALGERIA.

    http://ajitvadakayil.blogspot.com/2010/12/perfect-six-pack-capt-ajit-vadakayil.html

    EVERY VESTIGE OF ARAB KNOWLEDGE IN THE MIDDLE AGES WAS SOLD IN TRANSLATED ARABIC BY KODUNGALLUR UNIVERSITY FOR GOLD..

    FROM 800 AD TO 1450 AD KODUNGALLUR UNIVERSITY OWNED BY THE CALICUT KING EARNED HUGE AMOUNT OF GOLD FOR SELLING READY MADE TRANSLATED KNOWLEDGE ..

    THIS IS TIPU SULTANS GOLD WHO STOLE IT FROM NORTH KERALA TEMPLE VAULTS.. ROTHSCHILD BECAME THE RICHEST MAN ON THIS PLANET BY STEALING TIPU SUTANs GOLD IN 1799 AD.

    http://ajitvadakayil.blogspot.com/2011/10/tipu-sultan-unmasked-capt-ajit.html

    WHEN TIPU SULTAN WAS BLASTING TEMPLE VAULTS, LESS THAN 1% OF THE GOLD WAS SECRETLY TRANSFERRED TO SOUTH KERALA ( TRADITIONAL ENEMIES ) OF THE CALICUT KING. LIKE HOW SADDAM HUSSAIN FLEW HIS FIGHTER JETS TO ENEMY IRAN .

    THIS IS THE GOLD WHICH WAS UNEARTHED FROM PADMANABHASWAMY TEMPLE..

    http://ajitvadakayil.blogspot.com/2013/01/mansa-musa-king-of-mali-and-sri.html

    ALGORITHMS ARE SHORTCUTS PEOPLE USE TO TELL COMPUTERS WHAT TO DO. AT ITS MOST BASIC, AN ALGORITHM SIMPLY TELLS A COMPUTER WHAT TO DO NEXT WITH AN “AND,” “OR,” OR “NOT” STATEMENT.

    THE ALGORITHM IS BASICALLY A CODE DEVELOPED TO CARRY OUT A SPECIFIC PROCESS. ALGORITHMS ARE SETS OF RULES, INITIALLY SET BY HUMANS, FOR COMPUTER PROGRAMS TO FOLLOW.

    A PROGRAMMING ALGORITHM IS A COMPUTER PROCEDURE THAT IS A LOT LIKE A RECIPE (CALLED A PROCEDURE) AND TELLS YOUR COMPUTER PRECISELY WHAT STEPS TO TAKE TO SOLVE A PROBLEM OR REACH A GOAL.

    THERE IS NO ARTIFICIAL INTELLIGENCE WITHOUT ALGORITHMS. ALGORITHMS ARE, IN PART, OUR OPINIONS EMBEDDED IN CODE.

    ALGORITHMS ARE AS OLD AS DANAVA CIVILIZATION ITSELF – THIEF GREEK EUCLID’S ALGORITHM BEING ONE OF THE FIRST EXAMPLES DATING BACK SOME 2300 YEARS

    EUCLID JUST PATENTED MATH HE LEARNT IN THE KERALA SCHOOL OF MATH IN HIS OWN NAME.. EUCLID IS A THIEF LIKE PYTHAGORAS WHO LEARNT IN THE KERALA SCHOOL OF MATH.

    http://ajitvadakayil.blogspot.com/2011/01/isaac-newton-calculus-thief-capt-ajit.html

    ALGEBRA DERIVED FROM BRAIN DEAD AL-JABR, ONE OF THE TWO OPERATIONS HE USED TO SOLVE QUADRATIC EQUATIONS.

    ALGORISM AND ALGORITHM STEM FROM ALGORITMI, THE LATIN FORM OF HIS NAME.


    CONTINUED TO 2--

    1. CONTINUED FROM 1-

      BRAIN DEAD CUNT AL-KHWARIZMI DEVELOPED THE CONCEPT OF THE ALGORITHM IN MATHEMATICS -WHICH IS A REASON FOR HIS BEING CALLED THE GRANDFATHER OF COMPUTER SCIENCE ( SIC ).. THEY SAY THAT THE WORD “ALGORITHM” IS ACTUALLY DERIVED FROM A LATINIZED VERSION OF AL-KHWARIZMI’S NAME BRAAAYYYYYYY.

      ALGORITMI DE NUMERO INDORUM IN ENGLISH AL-KHWARIZMI ON THE HINDU ART OF RECKONING GAVE RISE TO THE WORD ALGORITHM DERIVING FROM HIS NAME IN THE TITLE. THE WORK DESCRIBES THE HINDU PLACE-VALUE SYSTEM OF NUMERALS BASED ON 1, 2, 3, 4, 5, 6, 7, 8, 9, AND 0. THE FIRST USE OF ZERO AS A PLACE HOLDER IN POSITIONAL BASE NOTATION WAS DUE TO AL-KHWARIZMI IN THIS WORK.

      ANOTHER IMPORTANT WORK BY AL-KHWARIZMI WAS HIS WORK SINDHIND ZIJ ON ASTRONOMY. THE WORK, DESCRIBED IN DETAIL IN , IS BASED IN INDIAN ASTRONOMICAL WORKS..

      THE MAIN TOPICS COVERED BY AL-KHWARIZMI IN THE SINDHIND ZIJ ARE CALENDARS; CALCULATING TRUE POSITIONS OF THE SUN, MOON AND PLANETS, TABLES OF SINES AND TANGENTS; SPHERICAL ASTRONOMY; ASTROLOGICAL TABLES; PARALLAX AND ECLIPSE CALCULATIONS; AND VISIBILITY OF THE MOON. A RELATED MANUSCRIPT, ATTRIBUTED TO AL-KHWARIZMI, ON SPHERICAL TRIGONOMETRY IS DISCUSSED..

      PTOLEMY’ ENTIRE WORKS ARE LIFTED FROM KODUNGALLUR UNIVERSITY KERALA OWNED BY THE CALICUT KING. AL-KHWARIZMI'S TABLES WERE CAST ON PTOLEMY’S TABLES.

      AL-KHWARIZMI WROTE ON THE ASTROLABE AND SUNDIALS ,WHICH ARE HINDU INSTRUMENTS

      THERE IS A STATUE OF MUHAMMAD IBN MUSA AL-KHWARIZMI HOLDING UP AN ASTROLABE IN FRONT OF THE FACULTY OF MATHEMATICS OF AMIRKABIR UNIVERSITY OF TECHNOLOGY IN TEHRAN . HE GOT AN ASTROLABE INSTRUMENT AND TRANSLATED INTO ARABIC NOTES OF THE MANUAL ( BOTH CONSTRUCTION AND OPERATIONAL ) FOR GOLD .. HIS ASTROLABE INSTRUMENT HAD PLATES FOR MECCA/ ISTANBUL/ ALEXANDRIA.

      ASTROLABE BRASS INSTRUMENTS WERE SOLD BY KODUNGALLUR UNIVERSITY PROFESSORS AT THE LIBRARY OF CORDOBA IN SPAIN..

      THESE SIMPLE BRASS DEEP SEA NAVIGATION INSTRUMENTS WERE PRODUCED MUCH BEFORE THE COMPLICATED ANTIKYTHERA AUTOMATIC ( PERPETUAL MOTION ) MECHANISM..

      THE DEEP SEA NAVIGATING SHIPS OF QUEEN DIDO , A KERALA THIYYA PRINCESS WHO TAUGHT AT THE UNIVERSITY OF ALEXANDRIA IN 1600 BC ( ON DEPUTATION FROM KODUNGALLUR UNIVERSITY ) CARRIED THESE INSTRUMENTS..

      http://ajitvadakayil.blogspot.com/2019/05/the-ancient-7000-year-old-shakti.html

      ASTROLABE IT IS AN ELABORATE INCLINOMETER, HISTORICALLY USED BY ASTRONOMERS AND NAVIGATORS TO MEASURE THE ALTITUDE ABOVE THE HORIZON OF A CELESTIAL BODY, DAY OR NIGHT.

      IT CAN BE USED TO IDENTIFY STARS OR PLANETS, TO DETERMINE LOCAL LATITUDE GIVEN LOCAL TIME (AND VICE VERSA), TO SURVEY, OR TO TRIANGULATE. ASTROLABE WAS CALLED SITARA YANTRA..

      http://ajitvadakayil.blogspot.com/2019/09/onam-our-only-link-to-planets-oldest.html

      AN ASTROLABE (SOLD IN CORDOBA SPAIN ) WAS EXCAVATED FROM THE WRECK SITE OF A PORTUGUESE ARMADA SHIP AS THE OLDEST IN THE WORLD. THEY ALSO CERTIFIED A SHIP'S BELL -- DATED 1498 -- RECOVERED FROM THE SAME WRECK SITE ALSO AS THE OLDEST IN THE WORLD.

      DONT EVER THINK THAT VASCO DA GAMA AND COLUMBUS NAVIGATED ON WESTERN TECHNOLOGY.. THEY USED ANCIENT DEEP SEA NAVIGATING INSTRUMENTS OF ANCIENT KERALA THIYYA NAVIGATORS..

      DIOPHANTUS STUDIED IN KODUNGALLUR UNIVERSITY. HE IS THE AUTHOR OF A SERIES OF BOOKS CALLED ARITHMETICA, ALL LIFTED FROM KERALA SCHOOL OF MATH.

      THIEF DIOPHANTUS WAS THE FIRST GREEK MATHEMATICIAN WHO RECOGNIZED FRACTIONS AS NUMBERS; THUS HE ALLOWED POSITIVE RATIONAL NUMBERS FOR THE COEFFICIENTS AND SOLUTIONS.

      IN MODERN USE, DIOPHANTINE EQUATIONS ARE USUALLY ALGEBRAIC EQUATIONS WITH INTEGER COEFFICIENTS, FOR WHICH INTEGER SOLUTIONS ARE SOUGHT. DIOPHANTUS WAS A BRAIN DEAD FELLOW WHO STOLE HIS ALGEBRA FROM THE KERALA SCHOOL OF MATH.

      MEDIOCRE BRAIN JEW ALBERT EINSTEIN WAS A THIEF… HE STOLE FROM PART TWO ( BRAHMANAS ) AND PART THREE ( ARANYAKAS ) OF THE VEDAS..

      http://ajitvadakayil.blogspot.com/2018/11/albert-einstein-was-thief-plagiarist.html

      LIES WONT WORK.. A BROWN BLOGGER IS IN TOWN !

      Capt ajit vadakayil
      ..


 'ADS' (algorithmic decision systems), rely on the analysis of large amounts of personal data to infer correlations or, more generally, to derive information deemed useful to make decisions.

 Human intervention in the decision-making may vary, and may even be completely out of the loop in entirely automated systems. In many situations, the impact of the decision on people can be significant, such as access to credit, employment, medical treatment, or judicial sentences, among other things.

Entrusting ADS to make or to influence such decisions raises a variety of ethical, political, legal, or technical issues, where great care must be taken to analyse and address them correctly. 

If they are neglected, the expected benefits of these systems may be negated by a variety of different risks for individuals (discrimination, unfair practices, loss of autonomy, etc.), the economy (unfair practices,  limited access to markets, etc.), and society as a whole (manipulation, threat to democracy, etc.).

ADS may undermine the fundamental principles of equality, privacy, dignity, autonomy and free will, and may also pose risks related to health, quality  of life and physical integrity. That ADS can lead to discrimination has been extensively documented  in many areas, such as the judicial system, credit scoring, targeted advertising and employment.

Discrimination may result from different types of biases arising from the training data, technical constraints, or societal or individual biases.

ADS  create new 'security vulnerabilities' that can be exploited by people with malicious intent.
Since ADS play a pivotal role in the workings of society, for example in nuclear power stations, smart grids, hospitals and cars, hackers able to compromise these systems have the capacity to cause major damage.

ADS such as those used for predictive policing, may become overwhelming and oppressive. ADS can be misused by states to control people, for example by identifying political opponents. 

More generally, interest groups or states may be tempted to use  these technologies to control and influence citizen behaviour. These technologies can also be used to distort information to damage the integrity of democratic discourse and the reputation of the government or political leaders.

The two main forms of understandability considered are transparency and explainability:---
Transparency is defined as the availability of the ADS code with its design documentation, parameters and the learning dataset when the ADS relies on machine learning (ML).  Transparency does not necessarily mean availability to the public. It also encompasses cases in which the code is disclosed only to specific actors, for example for audit or certification.

Explainability is defined as the availability of explanations about the ADS. In contrast to transparency, explainability requires the delivery of information beyond the ADS itself. Explanations can be of different types (operational, logical or causal); they can be either global (about the whole algorithm) or local (about specific results); and they can take different forms (decision trees, histograms, picture or text highlights, examples, counterexamples, etc.).

The strengths and weaknesses of each explanation mode should be  assessed in relation to the recipients of the explanation (e.g. professional or individual), their  level of expertise, and their objectives (to challenge a decision, take actions to obtain a decision, verify compliance with legal obligations, etc.).

Accountability is another key desideratum often put forward in the context of ADS. In accordance with previous work in this area, we see accountability as an overarching principle characterised by the obligation to justify one's actions and the risk of sanctions if justifications are inadequate.

Accountability can therefore be seen as a requirement on a process (obligation to provide justification), which applies to both intrinsic and extrinsic requirements for ADS (each case corresponding to specific types of 'justification').

Safety: is an important issue to consider, especially when ADS are embedded in physical systems whose failure may cause fatal damage.

While many ADS failures can be addressed with ad-hoc solutions, there is a strong need to define a unified approach to prevent ADS from causing unintended harm. A minimum requirement should be to perform extensive testing and evaluation before any large-scale deployment. It is also important to provide accountability, including the possibility of independent audits and to ensure a form of human oversight.

Integrity and availability: Increasingly, ADS will be used in critical contexts. It is therefore important to guarantee that they are secure against malicious adversaries. ADS should not jeopardise integrity and availability. Since most ADS rely heavily on machine learning algorithms, it is important to consider their security properties in the context of these algorithms. Adversaries can threaten the integrity or availability of ADS in different ways, i.e., by polluting training datasets with fake data, attacking the machine learning (ML) algorithm itself or exploiting the generated model (the ADS) at run-time.

Confidentiality and privacy: An adversary may seek to compromise the confidentiality of an ADS. For example, they may try to extract information about the training data or retrieve the ADS model itself. These attacks raise privacy concerns as training data is likely to contain personal data. They may also undermine intellectual property since the ADS model and the training data may be proprietary and confidential to the owner. It can involve anonymising the training datasets and the generated models i.e. designing privacy-preserving ADS.

Fairness (absence of undesirable bias): ADS are often based on machine learning algorithms that are trained using collected data. This process includes multiple potential sources of unfairness. Unfair treatment may result from the content of the training data, the way the data is labelled or the feature selection. As shown in this study, there are different definitions of fairness, and others will be proposed in the future.

Many definitions of fairness are actually incompatible.  Explainability: Three main approaches can be followed to implement the requirements of explainability:--

The black box approach: this approach analyses the behaviour of the ADS without 'opening the hood', i.e. without any knowledge of its code. Explanations are constructed from observations of the relationships between the inputs and outputs of the system. This is the only possible approach when the operator or provider of the ADS is uncollaborative (does not agree to disclose the code). Example of this category of approach include LIME (local interpretable model-agnostic explanations),

 The white box approach: in contrast to the black box approach, this approach assumes that analysis of the ADS code is possible. An example of early work in this direction is the Elvira system for the graphical explanation of Bayesian networks

 Two options are possible to achieve explainability by  design: (1) relying on an algorithmic technique which, by design, meets the intelligibility  requirements while providing sufficient accuracy, or (2) enhancing an accurate algorithm with  explanation facilities so that it can generate, in addition to its nominal results (e. g. classification),  a faithful and intelligible explanation for these results.

Higher levels of accuracy and precision may reduce intelligibility. In addition, their evaluation is a difficult (and often partly subjective) task.

Legal instruments: Technical solutions are necessary but cannot solve all the issues raised by ADS  by themselves. They must be associated with other types of measures and in particular legal  requirements for transparency, explainability or accountability.

'ADS' (algorithmic decision systems), systems often rely on the analysis of large amounts of personal data to infer correlations or, more  generally, to derive information deemed useful to make decisions. 

Human intervention in the decision-making may vary, and may even be completely out of the loop in entirely automated  systems. In many situations, the impact of the decision on people can be significant, such as: access  to credit, employment, medical treatment, judicial sentences, etc. 

Entrusting ADS to make or to influence such decisions raises a variety of different ethical, political, legal, or technical issues, where great care must be taken to analyse and address them correctly. If they are neglected, the expected  benefits of these systems may be counterbalanced by the variety of risks for individuals (discrimination, unfair practices, loss of autonomy, etc.), the economy (unfair practices, limited  access to markets, etc.) and society as a whole (manipulation, threat to democracy, etc.).

Different requirements such as transparency, explainability, data protection and accountability are often presented as ways to limit these risks but they are generally ill-defined, seldom required by law, and difficult to implement.

Decision-making algorithms are increasingly used in areas such as access to information, e-commerce, recommendation systems, employment, health, justice, policing, banking and insurance.
They also give rise to a variety of risks, such as discrimination, unfairness, manipulation or privacy breaches.

The need to scrutinise the use of algorithms for decision-making and whether algorithmic decisionmaking can be done in a transparent and accountable way.

 An algorithm is an unambiguous procedure to solve a problem or a class of problems. It is typically composed of a set of instructions or rulesthat take some input data and return outputs.

An algorithm can be hand-coded, by a programmer, or generated automatically from data, as in machine learning.

Algorithms are harnessing volumes of macro- and micro-data to influence decisions affecting people in a range of tasks

A distinction is sometimes drawn between predictive and prescriptive ADS, but the frontier between the two categories is often fuzzy.   The difference between predictive analytics and prescriptive analytics is the outcome of the analysis.

 Predictive analytics provides you with the raw material for making informed decisions, while prescriptive analytics provides you with data-backed decision options that you can weigh against one another.

Predictive analytics transforms all the scattered knowledge you have relating to how and why something happened into models, suggesting future actions. By integrating various techniques including data mining, modelling, machine learning (ML) and artificial intelligence (AI), predictive analytics tools transform the data at hand into focused marketing action.

While descriptive analytics helps us learn more about the past, predictive analytics looks into the future, answering the “What will happen if…” questions.

In marketing, that translates to:---

Anticipating consumer behaviours before they happen
Optimising your marketing campaigns around specific factors that are proven to impact sales
Finding the most valuable leads in your CRM and pitching them with offers that will generate the highest conversions

ADS that aim at improving general knowledge or technology:  ADS in this class use  algorithms to generate new knowledge, generally through the analysis of complex  phenomena. Algorithms are crucial in this context since they can be used to analyse very large  datasets to extract knowledge. 

They can, for example, help improve climate forecasts, detect diseases or discover new viruses.
These ADS are used to make decisions which have a global impact (or an impact on society) rather than on specific individuals.

ADS that aim at improving or developing new digital services: Applications of this category are used to help make predictions, recommendations or decisions in various areas such as  information, finance, planning, logistics, etc. These services aim at optimising one or several  specific criteria, such as time, energy, cost, relevance of information, etc

ADS integrated within cyber physical systems: Within this context, ADS are used to provide  autonomy to physical objects by limiting human supervision. Examples are autonomous cars, robots or weapons. Autonomous cars are being experimented with all over the world.

Algorithms should replace, or at least assist, users in the way they operate vehicles and should  make decisions on behalf of 'drivers'. The goals are essentially to make roads safer and optimize  connection times. Similarly, autonomous robots are being developed to help or replace  humans in performing difficult physical tasks at work or in the home. 

Examples include robots used in factory chains, domestic robots that provide services to humans, or robots on the  battlefield. A variety of autonomous weapons are under development to assist soldiers in action and to limit collateral damage.

Challenging ADS decisions: Another major issue with opaque ADS is that they make it difficult to challenge a decision based on their results.

IF AI IS USED BY JUDGES IN COURTS, WHY HAVE HUMAN JUDGES.. LET US REPLACE THESE CUNTS BY ROBOTS.. LET US HAVE FUN

Most ADS operate as 'black boxes' and therefore lack transparency, making their efficiency debatable.  Since autonomous  weapons embed many algorithms, they are prone to cyber-attacks. If they were actually deployed, the risk of malfunctioning, error or misuse should first be carefully addressed.
.
Understanding algorithmic decision-making: . disadvantage is that they can amplify biases and errors and make it more difficult to allocate liabilities.

In contrast with transparency, explainability requires the delivery of information beyond the
ADS itself.:--
– Explanations can be of three different types: operational (informing how the system actually works), logical (informing about the logical relationships between inputs and results) or causal (informing about the causes for the results).
– Explanations can be either global (about the whole algorithm) or local (about specific results).

Accountability is another key desideratum that is often put forward in the context of ADS..

An adversary can threaten the integrity or availability of such ADS in different ways:--
• by attacking the training dataset, for example, by injecting fake data,
• by attacking the ML algorithm, or
• by exploiting the generated model (the ADS) at run-time.

Attackers may want to retrieve some of the data used to train the system. Two main types of scenarios can be considered:--
• 'White box' attacks rely on the assumption that the attacker has access to the model and tries to learn about the training data by 'inverting' it.
• 'Black box' attacks do not assume access to the model: an adversarial client can only submit ueries to the model and make predictions based on the answers.

In contrast to the 'black box' approach, 'white box' explanation systems do rely on the analysis of the ADS code. In addition to the type of explanations that they can generate, 'white box' solutions differ in terms of the ADS they can handle (Bayesian networks, neural networks of limited depth,  deep neural networks, etc.), their way to handle continuous data (e.g. through discretisation) and  their complexity. 

An example of early work in this direction is the Elvira system for the graphical  explanation of Bayesian networks.

An adversary can threaten the integrity and availability of an ADS by polluting its training dataset, attacking its underlying algorithm or exploiting the generated model at run-time.

'Hand-coded' ADS  code can be audited, but the task is not always easy since they generally consist of complex modules  made of a large number of code lines developed by groups of engineers. ADS that are based on  machine learning are even more challenging to understand, and therefore to explain, since their  models are generated automatically from training data. Data have many properties and features,  and each of them can influence the generated models.

One of the most widely discussed and commented regulations passed during recent years is the  European General Data Protection Regulation (GDPR).

In particular, it introduces:--
• new rights for individuals (such as the right to portability, stricter rules for information and consent, enhanced erasure rights, etc.),
• new obligations for data controllers (data protection impact assessments, data protection by design and default, data breach notifications, etc.),
• new action levers such as collective actions and higher sanctions,
• better coordination mechanisms between supervisory authorities and a new body, the European

Data Protection Board (EDPB), which replaces former Article 29 Working Party and which has extensive powers and binding decisions in particular for dispute resolution between national supervisory authorities.

Explaining or detecting biases in ADS should be considered lawful and should not be limited by trade secret or more generally by intellectual property right laws.

The development of a body of experts in  ADS, with the ability to cover both technical and ethical aspects, should also be encouraged.

These experts could be integrated into development teams or serve in ADS evaluation bodies.
Because ADS are used to make  decisions about people, it is of prime importance that all everyone involved have a  minimum of knowledge about the underlying processes, their potential and the limitations  of the technologies. As , digital literacy is essential for citizens to be able to exercise their rights in the digital society.

Enhancing the level of understanding of the technologies involved in ADS is necessary, but not sufficient since many issues raised by ADS are subjective and may be approached in different ways  depending on individual perceptions and political views.

 If an algorithm is designed to preclude individuals from taking responsibility within a decision, then the designer of the algorithm should be held accountable for the ethical implications of the algorithm in use.

In the context of algorithmic decision-making, an accountable decision-maker must provide  its decision-subjects with reasons and explanations for the design and operation of its  automated decision-making system..
.
Algorithm impact assessments AIAs strive to achieve four initial goals:--
Respect the public’s right to know which systems impact their lives and how they do so by publicly listing and describing algorithmic systems used to make significant decisions affecting identifiable individuals or groups, including their purpose, reach, and potential public impact;
Ensure greater accountability of algorithmic systems by providing a meaningful and ongoing opportunity for external researchers to review, audit, and assess these systems using methods that allow them to identify and detect problems;
Increase public agencies’ internal expertise and capacity to evaluate the systems they procure, so that they can anticipate issues that might raise concerns, such as disparate impacts or due process violations; and

Ensure that the public has a meaningful opportunity to respond to and, if necessary, dispute an agency’s approach to algorithmic accountability. Instilling public trust in government agencies is crucial — if the AIA doesn’t adequately address public concerns, then the agency must be challenged to do better. 

Rights  become dangerous things if they are unreasonably  hard to exercise or ineffective in results, because they  give the illusion that something has been done while in  fact things are no better.'

Algorithmic Impact Assessments must set forth a reasonable and practical definition of automated decision making  In order for AIAs to be effective, agencies must publish their definition as part of a public notice and comment process whereby individuals, communities, researchers, and policymakers could respond, and if necessary challenge, the definition’s scope. This would allow push back when agencies omit essential systems that raise public concerns.

Algorithmic Impact Assessments should provide a comprehensive plan for giving external researchers meaningful access to examine specific systems and gain a fuller account of their workings. Algorithmic Impact Assessments must include an evaluation of how a system might impact the public, and show how they plan to address any issues, should they arise.

Algorithmic Impact Assessment process should  provide a path for the public to pursue cases where agencies have failed to comply with the Algorithmic Impact Assessment requirement, or where serious harms are occurring

In many situations, the impact of the decision on people can be significant, such as on access to credit, employment, medical treatment, judicial sentences, among other things. Entrusting ADS to make or to influence such decisions raises a variety of different ethical, political, legal, or technical issues, where great care must be taken to analyse and address them correctly. 

If they are neglected, the expected benefits of these systems may be negated by the variety of risks for individuals (discrimination, unfair practices, loss of autonomy, etc.), the economy (unfair practices, limited access to markets, etc.), and society as a whole (manipulation, threat to democracy, etc.).

ADS may undermine the fundamental principles of equality, privacy, dignity, autonomy and free will, and may also pose risksrelated to health, quality of life and physical integrity. That ADS can lead to discrimination has been extensively documented in many areas, such as the judicial system, credit scoring, targeted advertising and employment.

The risk of discrimination related to the use of ADS should be compared with the risk of discrimination without the use of ADS.
.
ADS create new 'security vulnerabilities' that can be exploited by people with malicious intent.
ADS such as those used for predictive policing, may become overwhelming and oppressive like in Israel where even blockchain is used to grab Palestinian land..  

ADS can be misused by states to control people, for example by  identifying political opponents. More generally, interest groups or states may be tempted to use these technologies to control and influence citizen behaviour. These technologies can also be used to distort information to damage the integrity of democratic discourse and the reputation of the government or political leaders.
.
Transparency is defined as the availability of the ADS code with its design documentation, parameters and the learning dataset when the ADS relies on machine learning (ML).

Transparency does not necessarily mean availability to the public. It also encompasses cases in which the code is disclosed only to specific actors, for example for audit or certification.
.
Explainability is defined as the availability of explanations about the ADS. In contrast to transparency, explainability requires the delivery of information beyond the ADS itself.

Explanations can be of different types (operational, logical or causal); they can be either global (about the whole algorithm) or local (about specific results); and they can take different forms (decision trees, histograms, picture or text highlights, examples, counterexamples, etc.). 

The strengths and weaknesses of each explanation mode should be assessed in relation to the recipients of the explanation (e.g. professional or individual), their level of expertise, and their objectives (to challenge a decision, take actions to obtain a decision, verify compliance with legal obligations, etc.)...

 Since most ADS rely heavily on machine learning algorithms, it is important to consider their security properties in the context of these algorithms. Adversaries can threaten the integrity or availability of ADS in different ways, i.e., by polluting training datasets with fake data, attacking the machine learning (ML) algorithm itself or exploiting the generated model (the ADS) at run-time. We argue that existing protection mechanisms remain preliminary and require more research.

ADS are often based on machine learning algorithms that are trained using collected data. This process includes multiple potential sources of unfairness. Unfair treatment may result from the content of the training data, the way the data is labeled or the feature selection..

The black box approach: this approach analyses the behaviour of the ADS without 'opening the hood', i.e. without any knowledge of its code. Explanations are constructed from observations of the relationships between the inputs and outputs of the system. This is the only possible approach when the operator or provider of the ADS is uncollaborative (does not agree to disclose the code). Examples of this category of approach include LIME (local interpretable model-agnostic explanations), .

The white box approach: in contrast to the black box approach, this approach assumes that analysis of the ADS code is possible. An example of early work in this direction is the Elvira system for the graphical explanation of Bayesian networks. 

The Elvira system is a tool to construct model based decision support systems. The models supported are based on probabilistic uncertainty.   It is a  tool to construct model based decision support systems. 

Bayesian networks are a type of Probabilistic Graphical Model that can be used to build models from data and/or expert opinion. They can be used for a wide range of tasks including prediction, anomaly detection, diagnostics, automated insight, reasoning, time series prediction and decision making under uncertainty.



Other solutions based on neural networks have been proposed more recently.

The constructive approach: in contrast to the first two approaches, which assume that the ADS already exists, the constructive approach is to design ADS taking explainability requirements into account ('explainability by design'). 

Two options are possible to achieve explainability by design: (1) relying on an algorithmic technique which, by design, meets the intelligibility requirements while providing sufficient accuracy, or (2) enhancing an accurate algorithm with explanation facilities so that it can generate, in addition to its nominal results (e. g. classification), a faithful and intelligible explanation for these results.

Higher levels of accuracy and precision may reduce intelligibility. In addition, their evaluation is a difficult (and often partly subjective) task.

(1) ADS should not be deployed without a prior algorithmic impact assessment (AIA) unless it is clear they have no significant impact on individuals lives; and
(2) the certification of ADS should be mandatory in certain sectors. AIA should not only focus on the risks of using an ADS: they should also assess the risks of not using an ADS.

An algorithm is an unambiguous procedure to solve a problem or a class of problems.
It is typically composed of a set of instructions or rulesthat take some input data and return outputs.

As an example, a sorting algorithm can take a list of numbers and proceed iteratively, first extracting  the largest element of the list, then the largest element of the rest of the list, and so on, until the list is empty.

An algorithm can be hand-coded, by a programmer, or generated automatically  from data, as in machine learning.

ADS can lead to discrimination has been documented in many areas,such as the justice system, targeted advertisements and employment. 

It should be noted that these discriminations do not necessarily arise from deliberate choices: they may result from different types of bias, for example bias in training data (in which case, the algorithm reproduces and systematises already existing discriminations), societal or individual bias (e.g. of designers or programmers of the ADS), or bias arising from technical constraints11 (e.g. limitations of computers or difficulty to formalise the non-formal).

Credit scoring is one of the domains most studied, because the use of ADS in this context can have significant impact on individuals' lives. For The use of certain ADS can also lead to discrimination against underprivileged or minority  neighbourhoods. 

For example, some geo-navigational applications are designed to avoid 'unsafe  neighbourhoods', which could lead to a form of redlining and 'reinforce existing harmful and  negative stereotypes about poor communities and communities of colour'.

A major issue with  opaque ADS is that they make it  difficult to challenge a decision based  on their results. This is in contradiction  with rights of defence and principles of adversarial proceedings. 

The COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) algorithm, which is used by judges to predict whether defendants should be detained or released on bail pending trial, was found to be biased against African-Americans

AI is having an impact on democracy and governance as computerized systems are being deployed to drive objectivity in government functions.    algorithms, which are a set of step-by-step instructions that computers follow to perform a task, have become more sophisticated and pervasive tools for automated decision-making  

Algorithms are harnessing volumes of macro- and micro-data to influence decisions affecting people in a range of tasks   Bias in algorithms can emanate from unrepresentative or incomplete training data or the reliance on flawed information that reflects historical inequalities. 

If left unchecked, biased algorithms can lead to decisions which can have a collective, disparate impact on certain groups of people even without the programmer’s intention to discriminate. The exploration of the intended and unintended consequences of algorithms is necessary

Algorithms with too much data, or an over-representation, can skew the decision toward a particular result.

BUT HEY, WHITE JEWS HAVE A NEAR MONOPOLY ON SIGNATURE BASED SADISTIC SERIAL KILLING ( LIKE OF JEW TED KACZYNSKI ) ..

BUT THIS WILL NEVER FIND ITS WAY INTO ADS.. SUCH IS THE STRANGLEHOLD OF JEWS IN AI JUDICIAL SYSTEMS
  
The point is that most ADS used in this context are risk-assessment tools: based on a number of factors about the defendants' criminal history, sociological data or demographic features, they provide an estimation of their risk of recidivism. 

As a result, they privilege one objective  (incapacitation, defined as prevention from reoffending) to the detriment of other traditional justifications of punishment in law, such as retribution (taking into account the severity of the crime), rehabilitation (social reintegration) and deterrence.

ADS can contribute to making administration decisions more efficient, transparent and accountable,  provided however that they are  themselves transparent and accountable.

Most ADS operate as 'black boxes' and therefore lack transparency, making their  efficiency debatable.

Existing machine learning technologies enable a high degree of automation in labour-intensive activities such as satellite imagery analysis. A more ambitious and controversial use of ADS in this context is to build autonomous weapon systems. A number of countries are increasing their studies and development of such systems as they perform increasingly elaborate functions, including identifying and killing targets ( using drones ) with little or no human oversight or control.

The results of ADS are often difficult to explain. This can reduce consumer trust and creates four main risks:--
• There may be 'hidden' biases derived from the data provided to train the system. This can be difficult to detect and correct. In some cases, these biases can be characterised as discriminations and be sanctioned in court.
• It can be difficult, if not impossible, to prove that the system will always provide correct outputs, especially for scenarios that were not represented in the training data. This lack of verifiability can be a concern in mission-critical applications.
• In case of failure, it might be very difficult, given the models' complexity, to diagnose and correct the errors and to establish responsibilities. .
• Finally, as previously mentioned, malicious adversaries can potentially attack the systems by poisoning the training data or identifying adversarial examples. These attacks can be difficult to detect and prevent.

ADS can be audited systematically. Their they can  amplify biases and errors and make it more difficult to allocate liabilities.

Several explanation modes can be distinguished:--
-- Explanations can be of three different types: operational (informing how the  system actually works), logical (informing about the logical relationships between  inputs and results) or causal (informing about the causes for the results).
– Explanations can be either global (about the whole algorithm) or local (about  specific results).

– Explanations can take different forms (decision trees, histograms, picture or text highlights, examples, counterexamples, etc.).

The strengths and weaknesses of each explanation mode should be assessed in relation to  the recipients of the explanations (e.g. professional or individual), their level of expertise and their objectives (understanding the results to make a decision, challenging a decision, verifying compliance with legal obligations, etc.).

Acountability can be seen as a requirement on a process (obligation to provide justification),
Many papers use terms such as transparency, explainability, interpretability, accountability or fairness with different meanings or without defining them properly (and often without introducing clear distinctions between them).

In data mining and machine learning, interpretability is defined as the ability to explain or to provide the meaning in understandable terms to a human. These definitions assume implicitly that the concepts expressed in the understandable terms composing an explanation are self-contained and do not need further explanations.

Interpretability typically means that the model can be explained, a quality which is imperative in almost all real applications where a human is responsible for consequences of the model.'
ADS need to be trained to be able to solve complex tasks. 

For example, the  cleaning robot should learn to handle candy wrappers differently from  a dropped diamond ring 

An adversary can threaten the integrity or availability of such ADS in different ways:--
• by attacking the training dataset, for example, by injecting fake data,
• by attacking the ML algorithm, or
• by exploiting the generated model (the ADS) at run-time.

The attacks on the ML algorithm, sometimes called 'logic attacks', require the adversary to have physical access to the systems where the algorithm is running. These attacks are not specific to ADS  and can be mitigated by various security measures, such as access control or hardware security.




.
The goal of an attack on the training phase is to influence the generated model by compromising its integrity or availability. Integrity attacks alter the generated model towards a specific goal, for example to maliciously obtain a loan or to go through an intrusion detection system (IDS).

ML classifier, the goal of an integrity attack could be to assign an incorrect class to a legitimate input.
In contrast, availability attacks tend to affect the quality, performance or access to the system. The final goal may be to create sufficient errors to make the ADS unusable. 

Although their goals are  different, these attacks are similar in nature and are typically performed by altering or poisoning the  training dataset by injecting adversarial data (injection attacks) or by removing or modifying  existing records (modification attacks). The modification can be performed, in a supervised setting, by modifying the data labels99 or the data itself.

Note that these attacks require that the adversaries have access to the pre-processed training dataset. If this is not possible, the adversary can poison or inject the training data before pre-processing.

Attacks on the execution phase do not intend to modify the ADS generated model, but instead seek to exploit some of its weaknesses. The idea is to compute some inputs, called adversarial examples, which will trigger the desired, incorrect, outputs.

When the ADS is a classifier, the adversary seeks to have the perturbed inputs assigned to incorrect classes.

Most of the previous attacks assume 'white box' scenarios, in which attackers have access to the internal workings of the model. However, the 'black box' scenario is probably a more realistic  threat model. 

For example, an attacker who wants to attack an image recognition system or a spam  filter rarely has access to the internals of the model. Instead, they often have access to the system as  an oracle, i.e. it can query the ADS with their own inputs and can observe the generated outputs.

Attacks on 'black box' systems, also called 'black box' attacks, are more challenging but not impossible. A key property in this respect is adversarial example transferability, i.e. the property that can be exploited whereby adversarial examples crafted for a given classifier are likely to be misclassified by other models trained for the same task.

An adversary may want to compromise the confidentiality of an ADS for example by trying to extract information about the training data or by retrieving the ADS model itself. These attacks raise privacy oncerns, since training data often contain personal data. 

They may also undermine intellectual property, as the ADS model and the training data can be proprietary and confidential to their owner.
Attackers may want to retrieve some of the data used to train the system. 

Two main types of scenarios can be considered:--
• 'White box' attacks rely on the assumption that the attacker has access to the model and tries to learn about the training data by 'inverting' it.
• 'Black box' attacks do not assume access to the model: an adversarial client can only submit queries to the model and make predictions based on the answers.

ADS are often based on machine learning algorithms trained on collected data. There are multiple potential sources of unfairness in this process.

Unfair treatment can result, for example, from the content of the training data, the way the data is labelled or the feature selection.

Biased training data. If the training data contains biases or historical discriminations, the ADS will inherit them and incorporate them into its future decisions.

ADS, and more generally machine learning algorithms, are systems trained to recognise and leverage statistical patterns in data. However, they are not perfect and perform classification or prediction errors. 

The accuracy rate of an ADS is often related to the size of the training dataset--large training dataset leads to less errors, and less data leads to worse predictions. ADS are often complex systems that are difficult to understand. 'Hand-coded' ADS code can be audited, but the task is not always easy since they generally consist of complex modules made of a large number of code lines developed by groups of engineers. 

ADS that are based on machine learning are even more challenging to understand, and therefore to explain, since their models are generated automatically from training data. Data have many properties and features, and each of them can influence the generated models.

Bias is ‘an inclination of prejudice towards or against a person, object, or position’

Some algorithms collect their own data based on human-selected criteria, which can also reflect the bias of human designers.

Known as 'ADS' (algorithmic decision systems), these systems often rely on the analysis of large amounts of personal data to infer correlations or, more generally, to derive information deemed useful to make decisions.

Algorithmic bias describes systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. Bias can emerge due to many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm. 

Algorithmic bias is found across platforms, including but not limited to search engine results and social media platforms, and can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity. The study of algorithmic bias is most concerned with algorithms that reflect "systematic and unfair" discrimination. 

This bias has only recently been addressed in legal frameworks, such as the 2018 European Union's General Data Protection Regulation. Bias can enter into algorithmic systems as a result of pre-existing cultural, social, or institutional expectations; because of technical limitations of their design; or by being used in unanticipated contexts or by audiences who are not considered in the software's initial design.

Commercial algorithms are proprietary, and may be treated as trade secrets.Treating algorithms as trade secrets protects companies, such as search engines, where a transparent algorithm might reveal tactics to manipulate search rankings. This makes it difficult for researchers to conduct interviews or analysis to discover how algorithms function. such secrecy can also obscure possible unethical methods used in producing or processing algorithmic output

The General Data Protection Regulation (GDPR), the European Union's revised data protection regime that was implemented in 2018, addresses "Automated individual decision-making, including profiling" in Article 22. These rules prohibit "solely" automated decisions which have a "significant" or "legal" effect on an individual, unless they are explicitly authorised by consent, contract, or member state law. Where they are permitted, there must be safeguards in place, such as a right to a human-in-the-loop, and a non-binding right to an explanation of decisions reached. While these regulations are commonly considered to be new, nearly identical provisions have existed across Europe since 1995, in Article 15 of the Data Protection Directive.

The United States has no general legislation controlling algorithmic bias, approaching the problem through various state and federal laws that might vary by industry, sector, and by how an algorithm is used. Many policies are self-enforced or controlled by the Federal Trade Commission.In 2016, the Obama administration released the National Artificial Intelligence Research and Development Strategic Plan,which was intended to guide policymakers toward a critical assessment of algorithms. It recommended researchers to "design these systems so that their actions and decision-making are transparent and easily interpretable by humans, and thus can be examined for any bias they may contain, rather than just learning and repeating these biases". Intended only as guidance, the report did not create any legal precedent.

The “Algorithmic Accountability Act of 2019” was introduced in the U.S. House of Representatives on April 10, 2019 and referred to the House Committee on Energy and Commerce. The bill requires an assessment of the risks posed by automated decision systems to the privacy or security of personal information of consumers and the risks that the systems may result in or contribute to inaccurate, unfair, biased or discriminatory decisions impacting consumers.

Governance and accountability issues relate to who creates the ethics standards for AI, who governs the AI system and data, who maintains the internal controls over the data and who is accountable when unethical practices are identified. The internal auditors have an important role to play in this regard. They should assess risk, determine compliance with regulations and report their findings directly to the audit committee of the board of directors.

On July 31, 2018, a draft of the Personal Data Bill was presented in India  The draft proposes standards for the storage, processing and transmission of data. While it does not use the term algorithm, it makes for provisions for "...harm resulting from any processing or any kind of processing undertaken by the fiduciary". It defines "any denial or withdrawal of a service, benefit or good resulting from an evaluative decision about the data principal" or "any discriminatory treatment" as a source of harm that could arise from improper use of data. It also makes special provisions for people of "Intersex status 

Bias can be introduced in many ways, including the following.--
• It can be present in the (training/validation/test) input dataset. For instance, a common form of bias is human bias (when data are labelled according to a person’s own view and therefore reflect the bias of that person).
• It can be introduced via the online learning process, when new, biased data are fed to the model in real time.
• Bias may also occur when ML models make non-linear connections between disparate data sources, despite those sources being validated individually for certain characteristics/variables.
• It can be introduced into the model during the development phase through inadvertent coding of biased rules, for example (algorithmic bias).

Most commonly, data contain bias when they are not representative of the population in question.
This can lead to discrimination, for example when a class of people less represented in the training  dataset receives less or more favourable outcomes simply because the system has learnt from only  a few examples and is not able to generalise correctly. However, discrimination can exist without bias or direct discrimination; it can result from sensitive attributes serving as input variables,  regardless of bias.

Techniques exist to prevent or detect bias (active or passive de-biasing). For example, controls can be implemented during the data preparation and feature engineering phases to prevent or detect bias and discrimination. 

Furthermore, statistical analysis (e.g. data skewness analysis) can be applied to the training dataset to verify that the different classes of the target population are  equally represented (under-represented classes can be incremented by oversampling or overrepresented classes can be reduced in size). In addition, techniques (and libraries) exist to test models against discriminatory behaviour (e.g. using crafted test datasets that could lead to discrimination).

5 most common types of bias:---
Confirmation bias. Occurs when the person performing the data analysis wants to prove a predetermined assumption. ...
Selection bias. This occurs when data is selected subjectively. ...
Outliers. An outlier is an extreme data value. ...
Overfitting and underfitting. ...
Confounding variables

A confounding variable is an “extra” variable that you didn't account for. They can ruin an experiment and give you useless results.

In a distribution of variables, outliers lie far from the majority of the other data points as the corresponding values are extreme or abnormal. The outliers contained in sample data introduce bias into statistical estimates such as mean values, leading to under- or over-estimated resulting values .  An outlier is a value that escapes normality and can (and probably will) cause anomalies in the results obtained through algorithms and analytical systems

Usually, the presence of an outlier indicates some sort of problem. An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. ... Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution..

Confirmation bias is the tendency to search for, interpret, favor, and recall information in a way that confirms or strengthens one's prior personal beliefs or hypotheses

Bias can happen in ways that do not involve humans in the loop. In fact, algorithms used for inferencing or training may be working perfectly well and not recognize bias because those aberrations are so small that they escape detection.

But bias also can be cumulative, and in some cases exponential. As such, it can cause issues much further down the line, making it difficult to trace back to where the problem originated.

Biasing can start wherever that data is generated.

Every measurement has accuracy levels and tolerances, but they shift over time. Sensors have variability, and that variability changes over time. So you have to figure out where it is in the calibration cycle and keep trying to correct for variability. 

That’s part of the picture. But every piece of data has some variability in it, too. So if you add in all of that data randomly, you could multiply the variability

Recommendations for building a robust and responsive AI and data ethics capability: --

“Appoint chief data/AI officers with ethics as part of their responsibilities.”
“Assemble organizationally high-level ethics advisory groups.”
“Incorporate privacy and ethics-oriented risk and liability assessments into decision-making or governance structures.”
“Provide training and guidelines on responsible data practices for employees.”
“Develop tools, organizational practices/structures, or incentives to encourage employees to identify potentially problematic data practices or uses.”
“Use a data certification system or AI auditing system that assesses data sourcing and AI use according to clear standards.”
“Include members responsible for representing legal, ethical, and social perspectives on technology research and project teams.”
“Create ethics committees that can provide guidance not only on data policy, but also on concrete decisions regarding collection, sharing, and use of data and AI.”

An AI ethics committee should seek to address the following concerns:--

“Whether the project under review advances organizational aims and foundational values to an extent that it justifies any organizational and social risks or costs.”
“Whether the project is likely to violate any hard constraints, such as legal requirements or fundamental organizational commitments/principles.”
“Whether an impartial citizen would judge that the organization has done due diligence in considering the ethical implications of the project.”
“Whether it is possible to secure the sought benefits in a way that better aligns with organizational values and commitments and without any significant additional undue burden or costs.”
“Whether reputational risks could be significant enough to damage the brand value in the concerned market or in other places where the organization operates.”

Tesla and SpaceX founder Elon Musk issued a warning: “Mark my words,   AI is far more dangerous than nukes.”  “Unless we learn how to prepare for, and avoid, the potential risks,AI could be the worst event in the history of our civilization.”

AI has the potential to hurt people in mass numbers, which puts unique responsibilities on the field. This incredible power to do harm at scale means those of us in the AI industry have a responsibility to put societal interest above profit.

Malicious use of AI, could threaten digital security (e.g. through criminals training machines to hack or socially engineer victims at human or superhuman levels of performance), physical security (e.g. non-state actors weaponizing consumer drones), and political security (e.g. through privacy-eliminating surveillance, profiling, and repression, or through automated and targeted disinformation campaigns)

Digitization is a building block toward  artificial intelligence because it can facilitate the availability of the “Big Data” on  which machine learning is based.  Next on the spectrum would be for governments  to rely on what we call here algorithmic tools—that is, traditional, human-created  statistical models, indices, or scoring systems that are then used as decision tools.

These traditional algorithmic or statistical tools rely on humans to select the specific  variables to be included in a decision aid and the precise mathematical relationships  between those variables. Only the final step on the spectrum—machine learning— constitutes what we will consider artificial intelligence, because learning  algorithms essentially work “on their own” to process data and discover optimal  mathematical relationships between them.

This autonomous self-discovery is what gives machine-learning algorithms not only their name but also their frequent superior performance in terms of accuracy over traditional algorithmic tools. Of  course, even with machine learning, humans must specify the objective that the  learning algorithm is supposed to forecast or optimize, and humans must undertake a number of steps to “train” the algorithm and refine its operation. 


Yet these learning algorithms are different than traditional statistical tools because the precise ways that data are combined and analyzed are neither determined in advance by a  human analyst nor easily explainable after the fact. 

For this reason, machine learning algorithms are often described as “black-box” algorithms because they do not afford a ready way of characterizing how they work—other than that they can  be quite accurate in achieving the objectives they have been designed to achieve.






Biased algorithms can lead to decisions which can have a collective, disparate impact on certain groups of people . 

AI is still an  emerging  technology.  Data is analyzed through  deep uses of algorithmic programming.

There are lots of  examples where the data and humans building the algorithms had an inherent bias that was  built into the AI algorithm.  In Israel Palestinians are always at the receiving end in a most slimy and evil manner..

Israel was the first to screw a part of the population ( Palestinians ) with blockchain by grabbing their ancestral lands.

Israel is the first to screw a part of its citizens ( Palestinians ) using black box algorithms for justice

Most AI algorithms are essentially black box pattern detectors. They can detect specific patterns quickly, but they don’t give you the causality of why those patterns happen. We can’t see why an algorithm has taken a decision; it’s not explained in a way that can be understood by a human.

And we are making decisions based on these ‘black boxes’ without knowing why. We are losing control over the way decisions are being made – and this is a major issue.

An AI model is considered to be traceable if (a) its decisions, and b) the datasets and processes that yield the AI model’s decision  (including those of data gathering, data labelling and the  lgorithms used), are documented in an easily understandable way.

Augmented intelligence unites the strengths of people and machines when prospecting value from data. Namely, you can augment human instinct with smart algorithms that provide fast, data-driven predictive insights. These insights can help people redesign functions, detect patterns, find strategic opportunities, and turn data into action.

Decision-making and actions will improve, provided you have feedback loops built in for continuous improvement. Feedback loops are important for improving upon algorithms and in making sure that when things do not happen as expected, there are mechanisms in place to understand why.

Auditability refers to the readiness of an AI system to undergo an assessment of its algorithms, data and design processes
To facilitate auditability, organisations
 can consider keeping a comprehensive record of data provenance, procurement, preprocessing, lineage, storage and security. The record could also include qualitative input about data representations, data  sufficiency, source integrity, data timelines, data relevance, and  unforeseen data issues encountered across the workflow.

1. Accountability: Ensure that AI actors are responsible and accountable for the proper functioning of AI systems and for the respect of AI ethics and principles, based on their roles, the context, and consistency with the state of art.
2. Accuracy: Identify, log, and articulate sources of error and uncertainty throughout  the algorithm and its data sources so that expected and worst-case implications can be understood and can inform mitigation procedures.
3. Auditability: Enable interested third parties to probe, understand, and review the behaviour of the algorithm through disclosure of information that enables monitoring,  checking or criticism.
4. Explainability: Ensure that automated and algorithmic decisions and any associated data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.
5. Fairness:
a. Ensure that algorithmic decisions do not create discriminatory or unjust impacts  across different demographic lines (e.g. race, sex, etc.).
b. To develop and include monitoring and accounting mechanisms to avoid  unintentional discrimination when implementing decision-making systems.
c. To consult a diversity of voices and demographics when developing systems, applications and algorithms.

Build trust by ensuring that designers and operators are responsible and accountable for their systems, applications and algorithms, and to ensure that such systems,  applications and algorithms operate in a transparent and fair manner.

To make available externally visible and impartial avenues of redress for adverse  individual or societal effects of an algorithmic decision system, and to designate a  role to a person or office who is responsible for the timely remedy of such issues.

Algorithm audits are conducted if it is necessary to discover the actual operations of  algorithms comprised in models. This would have to be carried out at the request of a  regulator (as part of a forensic investigation) having jurisdiction over the organisation or by an AI technology provider to assist its customer organisation which has to respond to a regulator’s request. 

Conducting an algorithm audit requires technical expertise which  may require engaging external experts. The audit report may be beyond the understanding  of most individuals and organisations. 

The expense and time required to conduct an  algorithm audit should be weighed against the expected benefits obtained from the  audit report. Ultimately, algorithm audits should normally be used when it is reasonably  clear that such an audit will yield clear benefits for an investigation.

Explainability is just one element of transparency. Transparency consists in making data,  features, algorithms and training methods available for external inspection and constitutes a  basis for building trustworthy models.



Online Dispute Resolution (ODR) has arisen in recent years as a tool for resolving disagreements among parties using technology, growing in part out of  prior developments in the field of Alternative Dispute Resolution (ADR). ADR is  a term that refers to a range of methods such as mediation and arbitration that aim to settle disputes without the use of litigation and the court system.

eBay and PayPal have developed ODR systems to handle the millions of disputes that regularly arise on their platforms from and among users.

Online dispute resolution (ODR) is a branch of dispute resolution which uses technology to facilitate the resolution of disputes between parties. It primarily involves negotiation, mediation or arbitration, or a combination of all three. 

In this respect it is often seen as being the online equivalent of alternative dispute resolution (ADR).  However, ODR can also augment these traditional means of resolving disputes by applying innovative techniques and online technologies to the process.

ODR is a wide field, which may be applied to a range of disputes; from interpersonal disputes including consumer to consumer disputes (C2C) or marital separation; to court disputes and interstate conflict

Today, the term ODR is even more expansive. In its current form, ODR covers the use of any technology to assist parties in the dispute resolution process. Consider three different hypothetical mediation proceedings:

A mediation conducted through a video conferencing service rather than in person.
An in-person mediation where the parties utilize technology tools to assist in analyzing their positions.
A mediation run entirely by an artificial intelligence (AI) service.

All three mediations are a form of ODR. ODR can be as straightforward as using a webcam, or as complex as a machine learning algorithm that guides disputants to an optimal settlement. Even the examples above merely scratch the surface of what is possible through ODR. As legal technology improves and expands, ODR is becoming increasingly popular and useful.

key advantages and challenges that face all forms of ODR. First, the advantages:--

Reduced Cost—Cost-saving is already a core advantage of alternative dispute resolution. Instead of engaging in costly and time-intensive litigation, ADR allows parties to minimize costs and save time in resolving their disputes. ODR enhances these benefits. Using telecommunication technology, for instance, eliminates travel expenses, allows for quicker communication, and gives the parties more flexibility in scheduling. Technology tools and AI can help parties understand their position and range of options, leading to more efficient resolution. As a set of tools, ODR can reduce costs significantly as compared to in-person ADR.

Increased Access to Justice—ODR allows for increased access to the legal system in multiple ways. As discussed, ODR originated as a way to address the high number of disputes that arose out of e-commerce transactions. Instead of relying on traditional forms of dispute resolution, companies have incorporated ODR systems into their websites in order to give customers a direct and efficient way to resolve their disputes. For high-volume and low-value disputes, ODR may be the only practical means for a consumer to resolve a dispute. 

ODR also allows increased access to the legal system for traditional disputes. A direct byproduct of reduced costs is that more parties can afford to utilize ODR. Courts have begun to implement ODR tools as well. The convenience of ODR makes it significantly easier for users to engage with the court system.

Accuracy—The increased convenience of ODR can also lead to better accuracy. Most simply, ODR helps parties and decision-makers reach more accurate outcomes by providing better access to information. ODR can also help avoid implicit biases on factors such as race and socioeconomic status. One goal of AI is to avoid the inevitable biases that are present in human decision-making. Although these tools are still in their infancy, there is hope that ODR can provide more equitable remedies.

ODR faces several challenges as well: --

Fairness—Many of the advantages of ODR are not foolproof. For example, although ODR systems provided by e-commerce companies may increase consumer access to remedies, these systems almost certainly lead to better results to the company paying for them. Although ODR can be more cost-effective, these systems are not costless. Since there is currently no regulation on these systems, outcomes may become stacked in favor of the implementing party. 

It is important to pay attention to who is covering the costs of the system, as they are the most likely to benefit from them. Similarly, ODR is not a silver bullet to provide optimally accurate resolutions. For instance, AI can actually exacerbate issues of implicit bias. Developers of these systems need to continually monitor the results to ensure that ODR tools are not creating more inequities than they are solving.

Privacy and Security—The introduction of technology inevitably introduces privacy and security risks. No tool is foolproof and therefore information shared through ODR solutions may be at higher risk of exposure than with traditional in-person ADR. Trust is essential in order for parties to resolve a dispute, and that trust extends to the tools and processes they are utilizing. Developers of ODR solutions need to pay particular attention to these concerns.

Impersonality—Disputes are an inherently emotional and trying experience. Mediators and arbitrators do more than act as robots crunching information and outputting settlement ranges. The neutral third-party has to navigate a complex emotional setting and provide an environment to help both parties feel comfortable with the proposed solutions. The benefits of human interaction can be lost as ODR increasingly relies on technology. This risk is particular salient with AI solutions.

Amazon has developed algorithms that can resolve a consumer complaint about a defective product without requiring any human intervention.

Realizing that they could not afford to hire enough human mediators to resolve all  of these disputes or arrange for parties to video conference with each other, these  companies leveraged the extensive amounts of data they had collected on consumer  behavior and usage. 

Their ODR systems aim to prevent or amicably resolve as many disputes as possible and to decide the remainder quickly. To do so, they  generally first diagnose the problem, working directly with the complainant; they then move to direct negotiations (aided by technology) and ultimately allow the company to decide the case if the parties are not able to amicably resolve matters  on their own.  

 As the success of these systems inspired other firms to develop  similar and increasingly sophisticated programs, algorithms have become a more prominent dispute resolution solution, allowing companies to automate away many  (if not all) of the steps of decision-making process.

Some courts have also begun experimenting with ODR as a mechanism to  attempt to resolve lawsuits without requiring the use of judicial decision-making adopted some form of “court ODR” in cases involving small claim civil matters, traffic violations, outstanding warrant cases,  and low-conflict family court cases..  

What counts as an ODR system can vary  from a simple website that facilitates entering pleas for traffic tickets online to an  online portal for engaging in asynchronous negotiations. These are not mandatory  systems in any jurisdiction of which we are aware, but instead they are offered as  an option to avoid appearing in court. In jurisdictions with these systems, parties  are notified of the ODR option via mailings or websites.

Parties can access the ODR system at any time, and with the more interactive systems they can communicate and negotiate with each other, obtain legal information and suggested  resolutions from the system, and easily manage electronic documents—all without  having to see the inside of a courtroom.   

These systems can usually reach  resolution in a dispute faster and at lower cost to the parties and are far more  accessible than traditional court-centered adjudication. ODR provides an emerging avenue for litigants and courts to engage in  dispute resolution outside of the presence of a courtroom and absent a human judge.

Court ODR systems, as well as the private-sector iterations that inspired them, have increasingly adopted automated processes and rely on algorithmic tools to aid in reaching what some observers characterize as fair and low-cost solutions to the  parties’ disputes.

Court systems  could take these algorithms to the next “level” of autonomy by integrating artificial  intelligence into ODR processes, allowing for increasingly automated forms of  decision-making for petty ego related cases –like when a rich celebrity ( like a crying bollywood superstar ) wants to harass a desh bhakt man using his poodles in police,  whom he has befriended during the annual tamasha named Umang.


COMPAS, an acronym for Correctional Offender Management Profiling for Alternative Sanctions, is a case management and decision support tool  used by U.S. courts to assess the likelihood of a defendant becoming a recidivist. Israel uses a similar RA tool to screw Palestinians and grab their ancestral lands.

The COMPAS software uses an algorithm to assess potential recidivism risk. Northpointe created risk scales for general and violent recidivism, and for pretrial misconduct. According to the COMPAS Practitioner's Guide, the scales were designed using behavioral and psychological constructs "of very high relevance to recidivism and criminal careers."

Pretrial Release Risk scale: Pretrial risk is a measure of the potential for an individual to fail to appear and/or to commit new felonies while on release. According to the research that informed the creation of the scale, "current charges, pending charges, prior arrest history, previous pretrial failure, residential stability, employment status, community ties, and substance abuse" are the most significant indicators affecting pretrial risk scores.

General Recidivism scale: The General Recidivism scale is designed to predict new offenses upon release, and after the COMPAS assessment is given. The scale uses an individual's criminal history and associates, drug involvement, and indications of juvenile delinquency.

Violent Recidivism scale: The Violent Recidivism score is meant to predict violent offenses following release. The scale uses data or indicators that include a person's "history of violence, history of non-compliance, vocational/educational problems, the person’s age-at-intake and the person’s age-at-first- arrest." An individual's risk score for violent recidivism is calculated as follows:

Violent Recidivism Risk Score = (age−w)+(age-at-first-arrest−w)+(history of violencew) + (vocation education w) + (history of noncompliance w), where w is weight, the size of which is "determined by the strength of the item’s relationship to person offense recidivism that we observed in our study data."..   

This objective bullshit is to keep white Jews safe as Rothschild’s history states that Jews are always at the receiving end— when in reality they are the worst criminals.


 As of today, of course, we know of no machine-learning tool that has been  adopted in any court in the United States to make an ultimate, fully automated determination on a legal or factual question.  

However, several trends in recent years have emerged that could signal movement towards the eventual use of such  automated adjudication via artificial intelligence. To date, the principal building  blocks of artificial intelligence in the courts comprise the digitization of court filings and processes, the introduction of algorithmic tools for certain criminal court  decisions, and the emergence of online dispute resolution as an alternative to traditional court proceedings for small claims.

Some courts have created “dedicated computer kiosks” specifically designed to help litigants who lack legal representation.  In California, for example, an “‘Online Self-Help Center’ offers PDFs that can be filled in online and used for evictions, divorces, orders of  protection, collection matters, small claims, and other issues.”

The federal judiciary has instituted a “comprehensive case management system” known as the Case Management/Electronic Case Files (CM/ECF) system  that allows for convenient filing and organization of court documents, party  pleadings, and other relevant materials.

CM/ECF (Case Management/Electronic Case Files) is the case management and electronic court filing system for most of the United States Federal Courts. PACER, an acronym for Public Access to Court Electronic Records, is an interface to the same system for public use.


Public Access to Court Electronic Records (PACER(link is external)) is an electronic public access service that allows users to obtain case and docket information from federal appellate, district, and bankruptcy courts.  If you want online access to documents filed in Central District cases, you must have a PACER account. 

CM/ECF provides more functionality than PACER, including the ability to electronically file cases and documents, to control electronic service and notice of documents, and to update a user’s contact information for the electronic service of documents


At law firms, the increasing use of algorithmic tools, including those involving machine-learning algorithms, can be found to support the review of documents during the discovery process. This “e-discovery” practice has been shown to have  a “strong impact” on reducing the need for human labor—plus it has spawned  services that seek to analyze trends and make legal forecasts.

Algorithmic tools have taken root in some court systems as an aid to judicial decision-making in criminal cases on questions of bail, sentencing, and parole— but so far virtually none of these appear to rely on machine-learning algorithms.

No one knows exactly how COMPAS works; its manufacturer refuses to disclose the proprietary algorithm. We only know the final risk assessment score it spits out . . .

Something about this story is fundamentally wrong: Why are we allowing a computer program, into which no one in the criminal justice system has any insight, to play a role in sending a man to prison?
The courts have not yet started to grapple with the legal implications of these algorithmic tools. 


ML models can quickly become “black boxes”, opaque systems for which the internal behavior cannot be easily understood, and for which therefore it is not easy to understand (and verify) how a model has reached a certain conclusion or prediction. The opaqueness of a ML solution may vary depending on the complexity of the underlying model and learning mode.

 For example, neural networks tend to be more opaque, due to the intrinsic complexity of the underlying algorithm, than  decision trees, the internal functioning of which can be more easily understood by humans.  This  technical opaqueness is directly linked to the opposing concept of explainability.

A model is explainable when it is possible to generate explanations that allow humans to understand (i) how a result is reached or (ii) on what grounds the result is based (similar to a justification).
Explainability helps business leaders understand why a company is doing what they’re doing with AI. “explainability.”  

That means sorting out what an AI algorithm did, what data was used, and why certain conclusions were reached. If, say, a machine learning (ML) algorithm also made business decisions, these decisions need to be annotated and presented effectively. it will be incumbent on AI specialists to show that their data is free of bias and that the outcomes their programs reach are consistent—an interesting challenge for things like deep learning, where there are many, many layers of analysis and different approaches that can affect the outcome.

With algorithms being more and more involved in decision-making processes that can have a significant impact on the lives of those concerned, it is important to understand how they “reason”. as a society we cannot allow certain important decisions to be made with no explanation: “Without being able to explain decisions taken by autonomous systems, it is difficult to justify them: it would seem inconceivable to accept what cannot be justified in areas as crucial to the life of an individual as access to credit, employment, accommodation, justice and health”. 

Algorithms can take “bad” decisions due to errors or biases of human origin ( mostly deliberate in Israel against Palestinians ) that are present in the datasets or the code. By making their reasoning transparent, explainability helps to identify the source of these errors and biases, and to correct them. This question is pivotal to the future of AI, as a lack of public confidence could hinder its development.

Explainability – or interpretability – is a component of algorithm transparency. It describes the AI system’s property of being easily understandable by humans. The information must therefore be presented in a form that is intelligible for experts (programmers, data scientists, researchers, etc.) but also for the general public.

Publishing the source code is not enough, not only because that doesn’t systematically make it possible to identify algorithmic bias (the running of certain algorithms cannot be apprehended independently from the training data), but also because it is not readable by a large majority of the public.

Furthermore, this could be in conflict with intellectual property rights, as an algorithm’s source code can be assimilated with a trade secret.

What’s more, X-AI holds several challenges. The first is in the complexity of certain algorithms, based on machine learning techniques such as deep neural networks or random forests, which are intrinsically difficult to grasp for humans; then there is the large quantity of variables that are taken into account.

Second challenge: it’s precisely this complexity that has made algorithms more efficient. In the current state of the art, increasing explainability is often achieved at the expense of precision of the results.

Algorithms that explain algorithms..  Algorithm refers to a set of rules/instructions that step-by-step define how a work is to be executed upon in order to get the expected results.

In order for some instructions to be an algorithm, it must have the following characteristics:

Clear and Unambiguous: Algorithm should be clear and unambiguous. Each of its steps should be clear in all aspects and must lead to only one meaning.

Well-Defined Inputs: If an algorithm says to take inputs, it should be well-defined inputs.

Well-Defined Outputs: The algorithm must clearly define what output will be yielded and it should be well-defined as well.

Finite-ness: The algorithm must be finite, i.e. it should not end up in an infinite loops or similar.
Feasible: The algorithm must be simple, generic and practical, such that it can be executed upon will the available resources. It must not contain some future technology, or anything.

Language Independent: The Algorithm designed must be language-independent, i.e. it must be just plain instructions that can be implemented in any language, and yet the output will be same, as expected.

Inorder to write an algorithm, following things are needed as a pre-requisite:--

The problem that is to be solved by this algorithm.
The constraints of the problem that must be considered while solving the problem.
The input to be taken to solve the problem.
The output to be expected when the problem the is solved.
The solution to this problem, in the given constraints.
Then the algorithm is written with the help of above parameters such that it solves the problem.

To be directly understandable, the algorithm should therefore have a low level of complexity and the model should be relatively simple.

Transparency consists therefore in making data, features, algorithms and training methods available for external inspection and constitutes a basis for building trustworthy models.

Explainable AI is the set of capabilities that describes a model, highlights its strengths and weaknesses, predicts its likely behavior, and identifies any potential biases. It has the ability to articulate the decisions of a descriptive, predictive or prescriptive model to enable accuracy, fairness, accountability, stability and transparency in algorithmic decision making.

Visualization approaches for seeing and understanding the data in the context of training and interpreting machine learning algorithms.

Algorithms: Such as spell check or phonetic algorithms can be useful – but they can also make the wrong suggestion.

AI initiatives are rendered useless, and in some cases detrimental, without clean data to feed their algorithms.

The ability to explain a model’s behavior, answering to an ML engineer, "why did the model predict that?" For example, the prior on variable alpha must not be Gaussian, as we can see in the misaligned posterior predictive check

The ability to translate a model to business objectives, answering in natural language, "why did the model predict that?" For example, the predicted spike in insulin levels are correlated to the recent prolonged inactivity picked up from the fitness watch.

Both definitions are clearly useful. The low-level notion of interpretability lends itself to the engineer's ability to develop and debug models and algorithms. High-level transparency and explainability is just as necessary, for humans to understand and trust predictions in areas like financial markets and medicine

No matter the definition, developing an AI system to be interpretable is typically challenging and ambiguous. It is often the case that a model or algorithm is too complex to understand or describe because its purpose is to model a complex hypothesis or navigate a high-dimensional space, a catch-22. Not to mention what is interpretable in one application may be useless in another.

Even with improved methods and algorithms for explaining AI models and predictions, two core issues must first be addressed in order to make legitimate progress towards interpretable, transparent AI: underspecification and misalignment.

The notion of model or algorithmic interpretability is underspecified -- that is, the AI field is without precise metrics of interpretability. How can one argue a given model or algorithm is more interpretable than another, or benchmark improvements in explainability? 

One method could provide beautifully detailed visualizations, while the other provides coherent natural language rationale behind each prediction. It can be apples-and-oranges to compare models on account of their interpretability. 

Simple exhaustive searches are rarely sufficient for most real-world problems: the search space (the number of places to search) quickly grows to astronomical numbers. The result is a search that is too slow or never completes. The solution, for many problems, is to use "heuristics" or "rules of thumb" that prioritize choices in favor of those that are more likely to reach a goal and to do so in a shorter number of steps. 

In some search methodologies heuristics can also serve to entirely eliminate some choices that are unlikely to lead to a goal (called "pruning the search tree"). Heuristics supply the program with a "best guess" for the path on which the solution lies. Heuristics limit the search for solutions into a smaller sample size..

In computer science, artificial intelligence, and mathematical optimization, a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution. In computing, heuristic refers to a problem-solving method executed through learning-based techniques and experience. 

When exhaustive search methods are impractical, heuristic methods are used to find efficient solutions. A heuristic algorithm is one that is designed to solve a problem in a faster and more efficient fashion than traditional methods by sacrificing optimality, accuracy, precision, or completeness for speed.

Heuristic algorithms often times used to solve NP-complete problems, a class of decision problems. In these problems, there is no known efficient way to find a solution quickly and accurately although solutions can be verified when given. Heuristics can produce a solution individually or be used to provide a good baseline and are supplemented with optimization algorithms. 

Heuristic algorithms are most often employed when approximate solutions are sufficient and exact solutions are necessarily computationally expensive A Heuristic is a technique to solve a problem faster than classic methods, or to find an approximate solution when classic methods cannot. 

This is a kind of a shortcut as we often trade one of optimality, completeness, accuracy, or precision for speed. A Heuristic (or a heuristic function) takes a look at search algorithms. At each branching step, it evaluates the available information and makes a decision on which branch to follow. It does so by ranking alternatives. 

The Heuristic is any device that is often effective but will not guarantee work in every case. three heuristics—availability, representativeness, and anchoring and adjustment. Subsequent work has identified many more. Heuristics that underlie judgment are called "judgment heuristics". 

Heuristics can be mental shortcuts that ease the cognitive load of making a decision. Examples that employ heuristics include using a rule of thumb, an educated guess, an intuitive judgment, a guesstimate, profiling, or common sense. 

A heuristic technique, often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals Heuristics are simple strategies to form judgments and make decisions by focusing on the most relevant aspects of a complex problem. As far as we know, animals have always relied on heuristics to solve adaptive problems, and so have humans

A heuristic function, also called simply a heuristic, is a function that ranks alternatives in search algorithms at each branching step based on available information to decide which branch to follow. For example, it may approximate the exact solution.

 Heuristic search refers to a search strategy that attempts to optimize a problem by iteratively improving the solution based on a given heuristic function or a cost measure. Heuristic search is an AI search technique that employs heuristic for its moves. Heuristic is a rule of thumb that probably leads to a solution. ... 

Heuristics help to reduce the number of alternatives from an exponential number to a polynomial number. A heuristic function, or simply a heuristic, is a function that ranks alternatives in search algorithms at each branching step based on available information to decide which branch to follow 

Examples that employ heuristics include using a rule of thumb, an educated guess, an intuitive judgment, a guesstimate, profiling, or common sense.. heuristic describes a rule or a method that comes from experience and helps you think through things, like the process of elimination, or the process of trial and error. 

You can think of a heuristic as a shortcut. Examples of heuristics include using: A rule of thumb. An educated guess The simplest way to describe them is as follows: A heuristic is a rule, strategy or similar mental shortcut that one can use to derive a solution to a problem. A heuristic that works all of the time is known as an algorithm. ... 

A systematic error that results from the use of a heuristic is called a cognitive bias The heuristic question is the simpler question that you answer instead. ... On some occasions , substitution will occur and a heuristic answer will be endorsed by System 2. Of course, System 2 has the opportunity to reject this intuitive answer, or to modify it by incorporating other information Heuristic inquiry involves exploring the subjective experience of a particular phenomenon within a purposive sample of individuals. 

Heuristic research- ers do not separate the individual from the experience but rather focus their exploration on the essential nature of the relationship or interaction between both. The Affect Heuristic and Decision Making. The affect heuristic is a type of mental shortcut in which people make decisions that are heavily influenced by their current emotions. Essentially, your affect (a psychological term for emotional response) plays a critical role in the choices and decisions you make 

Generally speaking, a heuristic is a "rule of thumb," or a good guide to follow when making decisions. In computer science, a heuristic has a similar meaning, but refers specifically to algorithms. ... As more sample data is tested, it becomes easier to create an efficient algorithm to process similar types of data
 “Heuristic” 

It is based on the psychological principles of "trial and error" theory. Bias occurs when you interpret subsequent information around the anchor.  A heuristic is a problem solving approach used to accelerate the process of finding a satisfactory solution. It is a mental shortcut that eases cognitive load when making decisions. 

It is a good guess often not made with strong reasoning The heuristic function is a way to inform the search about the direction to a goal. It provides an informed way to guess which neighbor of a node will lead to a goal. There is nothing magical about a heuristic function. It must use only information that can be readily obtained about a node. 

When our heuristics fail to produce a correct judgment, it can sometimes result in a cognitive bias, which is the tendency to draw an incorrect conclusion in a certain circumstance based on cognitive factors. ... 

This mismatch between our judgment and reality is the result of a bias “A heuristic technique, often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals 

The heuristic-systematic model is a theory of persuasion that suggests attitudes can change in two fundamentally different ways. ... This simplified form of attitude judgment is called heuristic processing, and it involves using rules of thumb known as heuristics to decide what one's attitudes should be.

The accuracy-effort trade-off theory states that humans and animals use heuristics because processing every piece of information that comes into the brain takes time and effort. With heuristics, the brain can make faster and more efficient decisions, albeit at the cost of accuracy 

It is a thorough assessment of a product's user interface, and its purpose is to detect usability issues that may occur when users interact with a product, and identify ways to resolve them. The heuristic evaluation process is conducted against a predetermined set of usability principles known as heuristics. 

The classic example of heuristic search methods is the travelling salesman problem. generate a possible solution which can either be a point in the problem space or a path from the initial state. test to see if this possible solution is a real solution by comparing the state reached with the set of goal states. 

Heuristics that underlie judgment are called "judgment heuristics". Heuristic Function is a function that estimates the cost of getting from one place to another (from the current state to the goal state.) 

Also called as simply a heuristic. Used in a decision process to try to make the best choice of a list of possibilities (to choose the move more likely to lead to the goal state.) A heuristic is a mental shortcut that allows people to solve problems and make judgments quickly and efficiently. 

These rule-of-thumb strategies shorten decision-making time and allow people to function without constantly stopping to think about their next course of action It sounds fancy, but you might know a heuristic as a "rule of thumb." 

Derived from a Greek word that means "to discover," heuristic describes a rule or a method that comes from experience and helps you think through things, like the process of elimination, or the process of trial and error Heuristic method is a pure discovery method of learning science independent of teacher. ...

 In this the teacher set a problem for the students and then stands aside while discover the answer . 2. The method requires the students to solve a number of problems experimentally

AN EXAMPLE OF WHERE HEURISTICS GOES WRONG IS WHENEVER YOU BELIEVE THAT CORRELATION IMPLIES CAUSATION.

Correlation is a relationship or connection between two variables where whenever one changes, the other is likely to also change. But a change in one variable doesn’t cause the other to change. That’s a correlation, but it’s not causation.

Spurious correlations--It is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third, unseen factor

To find causation, we need explainability. In the era of artificial intelligence and big data analysis, this topic becomes increasingly more important. AIs make data-based recommendations. Sometimes, humans can’t see any reason for those recommendations except that an AI made them. In other words, they lack explainability.

Correlation is about analyzing static historical datasets and considering the correlations that might exist between observations and outcomes. However, predictions don’t change a system. That’s decision making. To make software development decisions, we need to understand the difference it would make in how a system evolves if you take an action or don’t take action. Decision making requires a casual understanding of the impact of an action.

AI technology can’t take its previous learnings from one context and apply them to another situation. Sure, it can identify correlations. But it has no idea which one caused the other, or if that’s even the case.

“Too much of deep learning has focused on correlation without causation, and that often leaves deep learning systems at a loss when they are tested on conditions that aren’t quite the same as the ones they were trained on Giving AI the ability to understand causality would unlock a second renaissance for the technology

Most machine learning-based data science focuses on predicting outcomes, not understanding causality Current approaches to machine learning assume that the trained AI system will be applied on the same kind of data as the training data. In real life it is often not the case. 

When humans rationalize the world, we often think in terms of cause and effect — if we understand why something happened, we can change our behavior to improve future outcomes. Causal inference is a statistical tool that enables our AI and machine learning algorithms to reason in similar ways.

Let’s say we’re looking at data from a network of servers. We’re interested in understanding how changes in our network settings affect latency, so we use causal inference to proactively choose our settings based on this knowledge.

The future of AI depends on building systems with notions of causality. while machine learning methods excel in describing the real world, they’re often lacking in understanding the world -- simple perturbations hardly noticed by humans can cause state-of-art deep learning systems to misclassify road signs… The formal modeling and logic to support seemingly fundamental causal reasoning has been lacking in data science and AI

deep learning, and most machine learning (ML) methods for that matter, learn patterns or associations from data. On its own, observational data can only possibly convey associations between variables -- the familiar adage correlation does not imply causation

In correlated data, a pair of variables are related in that one thing is likely to change when the other does. This relationship might lead us to assume that a change to one thing causes the change in the other. 

The human brain simplifies incoming information, so we can make sense of it. Our brains often do that by making assumptions about things based on slight relationships, or bias. But that thinking process isn’t foolproof. An example is when we mistake correlation for causation. Bias can make us conclude that one thing must cause another if both change in the same way at the same time 

Correlation is a relationship or connection between two variables where whenever one changes, the other is likely to also change. But a change in one variable doesn’t cause the other to change. That’s a correlation, but it’s not causation. There are many forms of cognitive bias or irrational thinking patterns that often lead to faulty conclusions and economic decisions. 

These types of cognitive bias are some reasons why people assume false causations in business and marketing: Putting too much weight on your own personal beliefs, over-confidence, and other unproven sources of information often produce an illusion of casualty. 

It’s easy to watch correlated data change in tandem and assume that one thing causes the other. That’s because our brains are wired for cause-relation cognitive bias. We need to make sense of large amounts of incoming data, so our brain simplifies it. This process is called heuristics, and it’s often useful and accurate. But not always.

An example of where heuristics goes wrong is whenever you believe that correlation implies causation.

It is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third, unseen factor To find causation, we need explainability. 

In the era of artificial intelligence and big data analysis, this topic becomes increasingly more important. AIs make data-based recommendations. Sometimes, humans can’t see any reason for those recommendations except that an AI made them. In other words, they lack explainability.

Causation takes a step further than correlation. It says any change in the value of one variable will cause a change in the value of another variable, which means one variable makes other to happen. It is also referred as cause and effect Causation, also known as cause and effect, is when an observed event or action appears to have caused a second event or action. 

False Causality. To falsely assume when two events occur together that one must have caused the other. While causation and correlation can exist at the same time, correlation does not imply causation. 

Causation explicitly applies to cases where action A Causation explicitly applies to cases where action A causes outcome B.causes outcome B. On the other hand, correlation is simply a relationship. Action A relates to Action B—but one event doesn’t necessarily cause the other event to happen.

A heuristic technique, often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals Heuristics can be mental shortcuts that ease the cognitive load of making a decision.

Examples that employ heuristics include using trial and error, a rule of thumb, an educated guess, an intuitive judgment, a guesstimate, profiling, or common sense Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision.

Examples that employ heuristics include using trial and error, a rule of thumb, an educated guess, an intuitive judgment, a guesstimate, profiling, or common sense. Heuristics are simple strategies or mental processes that humans, animals, organizations  and even some machines use to quickly form judgments, make decisions, and find solutions to complex problems. This happens when an individual, human or otherwise, focuses on the most relevant aspects of a problem or situation to formulate a solution.

Those involved in making these decisions can also be influenced by similar past experiences as well. This is the reason that people do not generally stress test every chair or surface they might choose to sit on. Heuristic processes can easily be confused with the use of human logic, and probability. While these processes share some characteristics with heuristics, the assertion that heuristics are not as accurate as logic and probability misses the crucial distinction between risk and uncertainty.

 Risk refers to situations where all possible outcomes of an action are known and taken into account when making a decision. In contrast, uncertainty refers to situations where pieces of information are unknown or unknowable In situations of risk, heuristics face an accuracy-effort trade-off where their simplified decision process leads to reduced accuracy. In contrast, situations of uncertainty allow for less-is-more effects, where systematically ignoring (or in some cases lacking) information leads to more accurate inferences.

Less-is-more effects have been shown experimentally, analytically, and by computer simulations.  Though both of these mental processes are similar to heuristics, they are not the same.  heuristics are concerned with finding a solution that is "good enough" to satisfy a need. They serve as a quick mental reference for everyday experiences and decisions.

Understanding cause and effect would make existing AI systems smarter and more efficient. A robot that understands that dropping things causes them to break would not need to toss dozens of vases onto the floor to see what happens to them. “Humans don't need to live through many examples of accidents to drive prudently,.  They can just imagine accidents, “in order to prepare mentally if it did actually happen.”

Algorithms are not the computer code. They are just the instructions which give a clear idea to write the computer code. 

Qualities of a good algorithm:---
Input and output should be defined precisely.
Each step in the algorithm should be clear and unambiguous.
Algorithms should be most effective among many different ways to solve a problem.
An algorithm shouldn't have computer code. Instead, the algorithm should be written in such a way that, it can be used in different programming languages.

An algorithm is a series of steps for solving a problem, completing a task or performing a calculation. Algorithms are usually executed by computer programs ..  Algorithm is a precise step-by-step plan for a computational procedure that possibly begins with an input value and yields an output value in a finite number of steps while code is a short symbol, often with little relation to the item it represents.

An algorithm is an idea, a process, a recipe, etc. It's a sequence of steps, a procedure, that can be used to produce a result. It is independent of any programming language. Code is practical realization of algorithm.

An algorithm is an idea, a process, a recipe, etc. It's a sequence of steps, a procedure, that can be used to produce a result. It is independent of any programming language. ... When you then implement that algorithm by coding it in some language, that is code. Algorithms can be expressed using natural language, flowcharts, etc.

As a job title, “programmer”, “software developer”, and “software engineer” can mean whatever a given company wants them to mean. Some places call the people who create software “engineers”, others call them “developers”, and still others call them “programmers”. A programmer programs.  A software developer develops software. 

A software engineer engineers software systems.  They’re 3 different hats that the same people often wear at different times. In the US the word “engineer” often has an actual legal meaning with licensing requirements one is expected to meet before applying the term to oneself.  

In order to become an actual licensed software engineer, you would have to get a degree in software engineering.. someone who designs and creates a program from scratch

Autonomous and adaptive analytics:   this technique is the most complex and uses forward looking predictive analytics models that automatically learn from transactions and update results in real time using ML. This includes the ability to self-generate new algorithmic models with suggested insights for future tasks, based on correlations and patterns in the data that the system has identified and on growing volumes of Big Data. 

The Adaptive Learning process monitors and learns the new changes made to the input and output values and their associated characteristics. In addition, it learns from the events that may alter the market behavior in real time and, hence, maintains its accuracy at all times. Adaptive AI accepts the feedback received from the operating environment and acts on it to make data-informed predictions.

Advanced analytics often uses ML to gain deeper insights, make predictions or generate recommendations for business purposes. This is done by means of suitable ML algorithms able to recognise common patterns in large volumes of data via a learning (or ‘training’) process. The result of the learning process is a model, which represents what the algorithm has learnt from the training  data and which can be used to make predictions based on new input data

In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms work by making data-driven predictions or decisions, through building a mathematical model from input data. The data used to build the final model usually comes from multiple datasets.

Model training (also called ‘learning’) consists in feeding the training dataset to the algorithm tobuild the model. The challenge of this phase is to build a model that fits the given dataset with sufficient accuracy and has a good generalisation capability on unseen data, i.e. a model that is fit.
An ML model generalises well when its predictions on unseen observations are of a similar quality (accuracy) to those made on test data.

After the training phase, models are calibrated/ tuned by adjusting their hyper-parameters. Examples of hyper-parameters are the depth of the tree in a decision tree algorithm, the number of trees in a random forest algorithm, the number of clusters k in a k-means algorithm, the number  of layers in a neural network, etc. 

Selection of incorrect hyper-parameters can result in the failure of the model.
Data mining of Big Data is achieved by using AI programming that works with algorithms to find patterns in the Big Data that are noteworthy. This provides insights that help management make better-informed decisions.

Upwrds of 70% of the time and energy spent in AI projects is consumed by preparing the data to be consumed by the ML algorithms. This data-management work can be broken down into a handful of phases, including: ---

Data discovery: What data do you need, and how do you find it?
Data analysis: Is the data useful for ML? How do you validate it?
Data preparation: What format is the data in? How do you transform it into the correct format?
Data modeling: What algorithm can you use to model the data?
Model evaluation: Is the model working as expected? What changes do you need to make?

Before an algorithm can train on a piece of data, it must be converted into a machine-readable format that it understands, which is another critical step in the AI and ML process. Scientists may have to encode the data a certain way, or use bucketization or binning techniques to represent data values in certain ranges.

Once the data is fully prepped and in the correct format, the data scientist can write an algorithm, or a pre-written one, to model the data. This starts the productionalization phase of the AI and ML journey, which has its own set of challenges.

if we want text analysis software to perform desired tasks, we need to teach machine learning algorithms how to analyze, understand and derive meaning from text. But how? The simple answer is by tagging examples of text. Once a machine has enough examples of tagged text to work with, algorithms are able to start differentiating and making associations between pieces of text, and can even begin to make predictions.

Clustering
Text clusters are able to understand and group vast quantities of unstructured data. Although less accurate than classification algorithms, clustering algorithms are faster to implement because you don't need to tag examples to train models. That means these smart algorithms mine information and make predictions without the use of training data, otherwise known as unsupervised machine learning.

Google is a great example of how clustering works. When you search for a term on Google, have you ever wondered how it takes just seconds to pull up relevant results? Google's algorithm breaks down unstructured data from web pages and groups pages into clusters around a set of similar words or n-grams (all possible combinations of adjacent words or letters in a text). So, the pages from the cluster that contains a higher count of words or n-grams relevant to the search query will appear first within the results.

Consistent Criteria
Humans make errors. Fact. And the more tedious and time-consuming a task is, the more errors that are made. By using automated text analysis models that have been trained, algorithms are able to analyze, understand, and sort through data more accurately than humans. 

We are influenced by personal experiences, thoughts, and beliefs when reading texts, whereas algorithms are influenced by the information they've received. By applying the same criteria to analyze all data, algorithms are able to deliver more consistent and reliable data.

AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data.

The naive Bayes algorithm uses a slight modification of the Bayes formula to determine the probability that certain words belong to text of  a specific type. The ‘naive’ part of naive Bayes come from the fact the algorithm treats each word  independently and a text is considered simply as a set of words. The wider context of the words is  then lost using naive Bayes.

Algorithms are being developed to help pilot cars,  guide weapons, perform tedious or dangerous work, engage in conversations, recommend  products, improve collaboration, and make  consequential decisions in areas such as  jurisprudence, lending, medicine, university  admissions, and hiring. 

But while the technologies  enabling AI have been rapidly advancing, the  societal impacts are only beginning to be fathomed  if automatic techniques or naïve statistical methodologies are used to train algorithms on data that contain inaccuracies or  biases, those algorithms themselves might well  reflect those inaccuracies or biases. 

A machine learning algorithm is only safe and reliable to the extent that it is trained on (1) sufficient volumes of data that (2) are suitably representative of the scenarios in which the  algorithm is to be deployed. 

Artificial intelligence is leading us toward a new algorithmic warfare battlefield that has no boundaries or borders, may or may not have humans involved, and will be impossible to understand and perhaps control across the human ecosystem in cyberspace, geospace, and space (CGS). 

As a result, the very idea of the weaponization of artificial intelligence, where a weapon system that, once activated across CGS, can select and engage human and non-human targets without further intervention by a human designer or operator, is causing great concern.

The thought of an intelligent machine or machine intelligence to have the ability to perform any projected warfare task without any human involvement and intervention -- using only the interaction of its embedded sensors, computer programming, and algorithms in the human environment and ecosystem -- is becoming a reality that cannot be ignored anymore. 

The rapid development of AI weaponization is evident across the board: navigating and utilizing unmanned naval, aerial, and terrain vehicles, producing collateral-damage estimations, deploying “fire-and-forget” missile systems and using stationary systems to automate everything from personnel systems and equipment maintenance to the deployment of surveillance drones, robots and more are all examples.

algorithms are by no means secure—nor are they immune to bugs, malware, bias, and manipulation. And, since machine learning uses machines to train other machines, what happens if there is malware or manipulation of the training data? 

While security risks are everywhere, connected devices increase the ability of cybersecurity breaches from remote locations and because the code is opaque, security is very complex. So, when AI goes to war with other AI (irrespective if that is for cyber-security, geo-security, or space-security), the ongoing cybersecurity challenges will add monumental risks to the future of humanity and the human ecosystem in CGS. 

There are weapons that use artificial intelligence in active use today, including some that can search, select and engage targets on their own, attributes often associated with defining what constitutes a lethal autonomous weapon system (a.k.a. a killer drone/ robot).

the Israel Aerospace Industries Harpy, an armed drone that can hang out high in the skies surveying large areas of land until it detects an enemy radar signal, at which point it crashes into the source of the radar, destroying both itself and the target.

The weapon needs no specific target to be launched, and a human is not necessary to its lethal decision making. spooky strand of research seeks to build algorithms that tip human analysts off to such targets by singling out cars driving suspiciously around a surveilled city.
An actor with darker motives might use algorithms as a convenient veil for an intentionally insidious decisions.

Automation’s vast potential to make humans more efficient extends to the very human act of committing war crimes.

If one system offers up a faulty conclusion, it could be easy to catch the mistake before it does any harm. But these algorithms won’t act alone. A few months ago, the U.S. Navy tested a network of three AI systems, mounted on a satellite and two different airplanes, that collaboratively found an enemy ship and decided which vessel in the Navy’s fleet was best placed to destroy it, as well as what missile it should use. The one human involved in this kill chain was a commanding officer on the chosen destroyer, whose only job was to give the order to fire.

Eventually, the lead-up to a strike may involve dozens or hundreds of separate algorithms, each with a different job, passing findings not just to human overseers but also from machine to machine. Mistakes could accrue; human judgment and machine estimations would be impossible to parse from one another; and the results could be wildly unpredictable.

Militaries have long argued that AI will make conflict more precise. But that argument has a dark flipside: An algorithm designed to minimize civilian casualties could just as easily be used to calculate how civilian harm could be maximized.

Governments must develop inscrutable and transparent mechanisms to audit algorithms that go bad, as well as those humans who employ their algorithms badly.

The drones are required to communicate with each other and even respond to each other. Therefore they require sensors and they require decision-making based algorithms – and thus this is the ‘AI and autonomy’ stage.AI Worldwide for Warfare

Unlike human intelligence, AI algorithms do not possess common sense, conceptual understanding, notions of cause-and-effect, or intuitive physics.

Their lack of common sense, the inability to generalize or to consider context, makes AI algorithms “brittle,” meaning that they cannot handle unexpected scenarios or unfamiliar situations. As   causes that may lead to unfairness in machine learning :---
• Biases already included in the datasets used for learning, which are based on biased device measurements, historically biased human decisions, erroneous reports or other reasons. Machine learning algorithms are essentially designed to replicate these biases.
• Biases caused by missing data, such as missing values or sample/selection biases, which result in  datasets that are not representative of the target population.
• Biases that stem from algorithmic objectives, which aim at minimizing overall aggregated prediction errors and therefore benefit majority groups over minorities.
• Biases caused by "proxy" attributes for sensitive attributes. Sensitive attributes differentiate privileged and unprivileged groups, such as race, gender and age, and are typically not legitimate for use in decision making. Proxy attributes are non-sensitive attributes that can be exploited to derive sensitive attributes. In the case that the dataset contains proxy attributes, the machine  learning algorithm can implicitly make decisions based on the sensitive attributes under the  cover of using presumably legitimate attributes .

Algorithms make predictions that mirror past patterns. This new data is then fed back into the technological model, creating a pernicious feedback loop in which social injustice is not only replicated, but in fact further entrenched. 

It is also worth noting that the same communities that have been overpoliced have been severely neglected, both intentionally and unintentionally, in many other areas of social and political life. While they are overrepresented in crime rate data sets, they are underrepresented in many other data sets

CJI BOBDE WANTS TO USE AI IN INDIAN JUDICIARY.. WARNING, NEVER GIVE A COMPUTER TO A MONKEY

Today  1 in 33 Americans are under some form of correctional supervision.

Risk assessment tools are designed to do one thing: take in the details of a defendant’s profile and spit out a recidivism score—a single number estimating the likelihood that he or she will reoffend. A judge then factors that score into a myriad of decisions that can determine what type of rehabilitation services particular defendants should receive, whether they should be held in jail before trial, and how severe their sentences should be. A low score paves the way for a kinder fate. A high score does precisely the opposite.

RISK ASSESSMENT CAN NEVER BE OBJECTIVE .  SUBJECTIVE ( CONSCIOUS HUMAN ) MUST HAVE VETO POWER

The logic for using such algorithmic tools is that if you can accurately predict criminal behavior, you can allocate resources accordingly, whether for rehabilitation or for prison sentences.   Judges are making STUPID OBJECTIVE decisions on the basis of data-driven recommendations and not SUBJECTIVE DECISIONS based on wisdom. .

Machine-learning algorithms use statistics to find patterns in data. So if you feed it historical crime data, it will pick out the patterns associated with crime. But those patterns are statistical correlations—nowhere near the same as causations. 

If an algorithm found, for example, that low income was correlated with high recidivism, it would leave you none the wiser about whether low income actually caused crime. But this is precisely what risk assessment tools do: they turn correlative insights into causal scoring mechanisms.

Now populations that have historically been disproportionately targeted by law enforcement—especially low-income and minority communities—are at risk of being slapped with high recidivism scores like Palestinians in Israel.

The algorithm could amplify and perpetuate embedded biases and generate even more bias-tainted data to feed a vicious cycle. Because most risk assessment algorithms are proprietary, it’s also impossible to interrogate their decisions or hold them accountable.

Humans have empathy built in because we evolved to be social animals. An artificial intelligence built from the ground needn't come with empathy. If we don't make sure to build empathy into such AI at the onset it could be dangerous for us

WE WILL NOT ALLOW STARE DECISIS TO BE SUSTAINED BY AI. STARE DECISIS IS ILLEGAL AND HAS BEEN EXPLOITED BY TRAITOR JUDGES IN FOREIGN PAYROLL TO CREATE THE NAXAL RED CORRIDOR AND CAUSE ETHNIC CLEANSING OF KASHMIRI PANDITS..  

WHEN IT SUITS THE AGENDA OF THESE TRAITOR FOREIGN PAYROLL JUDGES THEY DECLARE THAT MAJORITARIANISM HARMS DEMOCARCY..

ARTIFICIAL INTELLIGENCE IS WHEN THE CODE IS SELF AWARE  .. ANY IDIOT KNOWS THAT THIS IS IMPOSSIBLE .   THE GOAL OF AI IS TO TAKE OVER DECISIONS THAT WE USUALLY TAKE AS HUMANS.

HUMANS HAVE THINGS A COMPUTER CAN NEVER HAVE.. A SUBCONSCIOUS BRAIN LOBE,  REM SLEEP WHICH BACKS UP BETWEEN RIGHT/ LEFT BRAIN LOBES AND FROM AAKASHA BANK,  A GUT WHICH INTUITS,   30 TRILLION BODY CELLS WHICH HOLD MEMORY,   A VAGUS NERVE , AN AMYGDALA ,  73% WATER IN BRAIN FOR MEMORY,  10 BILLION MILES ORGANIC DNA MOBIUS WIRING ETC.

The software is able to understand itself, and automatically understand and respond differently to different situations. AI today is stupid AI. It's just dumb algorithms that try to do clever stuff

AI CAN BE USED TO HELP OUT STUPID COLLEGIUM JUDICIARY WITH BODMAS

https://timesofindia.indiatimes.com/city/mumbai/mumbai-noida-kerala-raids-blow-lid-off-phone-racket/articleshow/74025539.cms

Complex AI algorithms allow organizations to unlock insights from data that were previously unattainable. However, the blackbox nature of these systems means it isn't straightforward for business users to understand the logic behind the decision. Even the data scientists that created the model may have trouble explaining why their algorithm made a particular decision. 

One way to achieve better model transparency is to adopt from a specific family of models that are considered explainable. Examples of these families include linear models, decision trees, rules sets, decision sets, generalized additive models and case-based reasoning methods.

It is useful to distinguish between the concepts of procedural and distributive fairness.

Procedural justice concerns the fairness and the transparency of the processes by which decisions are made, and may be contrasted with distributive justice (fairness in the distribution of rights or resources), and retributive justice (fairness in the punishment of wrongs) Procedural justice is the idea of fairness in the processes that resolve disputes and allocate resources. 

One aspect of procedural justice is related to discussions of the administration of justice and legal proceedings. Procedural fairness is concerned with the procedures used by a decision maker, rather than the actual outcome reached. It requires a fair and proper procedure be used when making a decision. 

Procedural justice is when employees perceive that the processes that lead to important outcomes are fair and just. For example, the process of how a manager gives raises will be seen as unfair if he only gives raises to his friends..

A policy (or an algorithm) is said to be procedurally fair if it is  fair independently of the outcomes it produces.

Procedural fairness is related to the legal concept  of due process. A policy (or an algorithm) is said to  be distributively fair if it produces fair outcomes.

Most ethicists take a distributive view of justice,  whereas a procedure’s fairness rests largely on the outcomes it produces. On the other hand, people often tend toward a more procedural view, in some cases caring more about  being treated fairly than the outcomes they experience

AI algorithms often attract criticism for being distributively unfair

Distributive justice concerns the socially just allocation of goods. Often contrasted with just process, which is concerned with the administration of law, distributive justice concentrates on outcomes. This subject has been given considerable attention in philosophy and the social sciences.

Distributive justice theory argues that societies have a duty to individuals in need and that all individuals have a duty to help others in need. Proponents of distributive justice link it to human rights.

Five types of distributive norm are defined --
Equality: Regardless of their inputs, all group members should be given an equal share of the rewards/costs. Equality supports that someone who contributes 20% of the group's resources should receive as much as someone who contributes 60%. .

Equity: Members' outcomes should be based upon their inputs. Therefore, an individual who has invested a large amount of input (e.g. time, money, energy) should receive more from the group than someone who has contributed very little. Members of large groups prefer to base allocations of rewards and costs on equity.

Power: Those with more authority, status, or control over the group should receive less than those in lower level positions.

Need: Those in greatest needs should be provided with resources needed to meet those needs. These individuals should be given more resources than those who already possess them, regardless of their input.

Responsibility: Group members who have the most should share their resources with those who have less.

Substantive fairness means there is a fair or valid reason for the employer to dismiss an employee Employers have the right to expect a certain standard of work and conduct from an employee and in turn, an employee should be protected from arbitrary action.

principles of restorative justice---   Crime causes harm and justice should focus on repairing that harm. The people most affected by the crime should be able to participate in its resolution

Data Science is the study of all types of data- structured or unstructured, to gain business insights. It makes use of various techniques and algorithms that help to collect, store and analyze business data and gain valuable information. It allows business organizations to collect and organize the data. They use this data to analyze trends and present the gained information within the organization. 

The professionals who apply all the techniques in data and build models on top of that data are Data Scientists. Data Scientists use various scientific algorithms that help to develop business strategies and make necessary changes and improvements in the business.

A confusion matrix is a table that is often used to describe the performance of a classification model (or “classifier”) on a set of test data for which the true values are known. It allows the visualization of the performance of an algorithm. 

It is a matrix where we put the actual values in the columns and the predicted values in the rows. Thus the intersection of rows and columns becomes our metrics. A Confusion matrix is the comparison summary of the predicted results and the actual results in any classification problem use case. 

The comparison summary is extremely necessary to determine the performance of the model after it is trained with some training data. There are various components that exist when we create a confusion matrix. The components are mentioned below

Positive(P): The predicted result is Positive (Example: Image is a cat)

Negative(N): the predicted result is Negative (Example: Images is not a cat)

True Positive(TP): Here TP basically indicates the predicted and the actual values is 1(True)

True Negative(TN): Here TN indicates the predicted and the actual value is 0(False)

False Negative(FN): Here FN indicates the predicted value is 0(Negative) and Actual value is 1. Here both values do not match. Hence it is False Negative.

False Positive(FP): Here FP indicates the predicted value is 1(Positive) and the actual value is 0. Here again both values mismatches. Hence it is False Positive.

Accuracy and Components of Confusion Matrix
After the confusion matrix is created and we determine all the components values, it becomes quite easy for us to calculate the accuracy. So, let us have a look at the components to understand this better.

Classification Accuracy
Accuracy-formula-Confusion-Matrix




From the above formula, the sum of TP (True Positive) and the TN (True Negative) are the correct predicted results. Hence in order to calculate the accuracy in percentage, we divide with all the other components

In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one (in unsupervised learning it is usually called a matching matrix). 

Each row of the matrix represents the instances in a predicted class while each column represents the instances in an actual class (or vice versa). The name stems from the fact that it makes it easy to see if the system is confusing two classes (i.e. commonly mislabeling one as another).

It is a special kind of contingency table, with two dimensions ("actual" and "predicted"), and identical sets of "classes" in both dimensions (each combination of dimension and class is a variable in the contingency table).




 A false positive is an error resulting from a test or  algorithm indicating the presence of a condition  (for instance, being a fraudster, having a rare  disease, or being a terrorist) that does not in  fact exist. If the overall population-level base  rate is low, then even the most sophisticated  algorithms often yield more false positives Than true positives. This is known as the “false  positives paradox.” 

To illustrate, suppose that  each year a country faces only a small handful  of commercial airline terrorists threats, and that  the best available algorithm homes in on a few  hundred suspects out of millions of passengers.

Though tiny relative to the overall population,  the great majority of people on this list will be  innocent. Furthermore, because no algorithm is  perfectly accurate, it is quite possible that this list won’t contain all of the actual terrorists, a  type of error called a false negative. The tradeoff  is that, expanding the list of suspects to reduce 

The likelihood of false negatives will increase the number of false positives—and therefore the  risk of harming or treating unfairly still more  innocent people. Analogous scenarios involve electing algorithmic thresholds for deciding  when to treat people at risk of a disease. There is  generally a tradeoff between correctly identifying  as many people with the disease as possible  versus avoiding potentially risky treatments  of healthy people.

In the regulation of algorithms, particularly artificial intelligence and its subfield of machine learning, a right to explanation (or right to an explanation) is a right to be given an explanation for an output of the algorithm. Such rights primarily refer to individual rights to be given an explanation for decisions that significantly affect an individual, particularly legally or financially.

However, today algorithms take a myriad of decisions without consulting humans: they have become the decision makers, and humans have been pushed into an artefact shaped by technology.

When it comes to AI, “explanation” could mean several things: 1) How an algorithm works or how the system functions. 2) The factors or data that resulted in a decision by the algorithm or system that impacted an individual (a data subject)

The algorithm is basically a code developed to carry out a specific process.  Its a process or set of rules to be followed in calculations or other problem solving operations, usually by a computer.
Algorithmic trading is heavily used by banks and trading institutions..

Algorithmic trading,  encompasses trading systems that are heavily reliant on complex mathematical formulas and high-speed, computer programs to determine trading strategies

It is a trading system that utilizes very advanced mathematical models for making transaction decisions in the financial markets.

Algorithmic Trading is a process to Buy or Sell a security based on some pre-defined set of rules which are backtested on Historical data. These rules can be based on Technical Analysis, charts, indicators or even Stock fundamentals.

In algorithmic trading:--
Inputs: quotes, trades in the stock market, liquidity opportunities

Output: intelligent trading decisions.

Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume . This type of trading was developed to make use of the speed and data processing advantages that computers have over human traders. 

Algorithmic trading is the use of computers and computer-based models to initiate trades and match buyers with sellers, hence, it can be used for making markets and also for proprietary trading
Artificial intelligence refers to a class of computer programs designed to solve problems requiring inferential reasoning, decision making based on incomplete or uncertain information, classification,  optimization, and perception  

 On the most inflexible end of the spectrum are AI that make decisions based on preprogrammed rules from which they make inferences or evaluate options . On the most flexible end are modern AI programs that are based on machine-learning algorithms that can learn from data. 

Such AI would, in contrast to the rule-based AI, examine countless other chess games and dynamically find patterns that  it then uses to make moves — it would come up with its own scoring  formula For this sort of AI, there are no pre-programmed rules  about how to solve the problem at hand, but rather only rules about how to learn from data.

Many modern machine-learning algorithms share their pedigree with the vast array of statistical inference tools that are employed  broadly in the physical and social sciences.  They may, for example,  use methods that minimize prediction error, adjust weights assigned to  various variables, or optimize both in tandem.   

For instance, a machine-learning algorithm may be given three pieces of data, such as a  person’s height, weight, and age, and then charged with the task of  predicting the time in which each person in a dataset can run a mile.

The machine-learning algorithm would look through hundreds or  thousands of examples of people with various heights, weights and  ages and their mile times to devise a model. One simple way to do so  would be to assign some co-efficient or weight to each piece of data to  redict the mile time. For example:--

Predicted Mile Time = A x Height + B x Weight + C x Age


The algorithm may continue to adjust A, B and C as it goes  through the examples it has been given to look for the values for A, B  and C that result in the smallest error — that is, the difference between each person in the training data’s actual mile time and the algorithm’s predicted mile time. 

This example  is the same framework for a least-squares regression,  in which the  square of the error of the predicting equation is minimized. Many  machine-learning algorithms are directed at a similar task but use  more mathematically sophisticated methods to determine weights for  each variable or to minimize some defined error or “loss function.


Machine-learning algorithms are often given training sets of data  to process.  Once the algorithm trains on that data, it is then tested  with a new set of data used for validation. The goal of tuning a machine-learning algorithm is to ensure that the trained model will generalize, meaning that it has predictive power when given a test  dataset (and ultimately live data).  

Machine-learning algorithms commonly (though not necessarily) make predictions through categorization. These “classifiers”  are able to, for example, look at millions of credit reports and classify individuals into separate credit risk categories or process images and separate the ones containing faces from the ones that do not.  

If A machine-learning algorithm is properly generalizing, it will correctly  predict the appropriate classification for a particular data point. One possible reason AI may be a black box to humans is that it  relies on machine-learning algorithms that internalize data in ways  that are not easily audited or understood by humans a lack of transparency may arise  from the complexity of the algorithm’s structure, such as with a deep  neural network, which consists of thousands of artificial neurons  working together in a diffuse way to solve a problem. 

This reason for  AI being a black box is referred to as “complexity.”  The lack  of transparency may arise because the AI is using a machine-learning  algorithm that relies on geometric relationships that humans cannot  visualize, such as with support vector machines. This reason for AI  being a black box is referred to as “dimensionality.” 

The deep neural network is based on a mathematical model called  the artificial neuron. While originally based on a simplistic model of  the neurons in human and animal brains, the artificial neuron is not  meant to be a computer-based simulation of a biological neuron. Instead, the goal of the artificial neuron is to achieve the same ability to  learn from experience as with the biological neuron.  

The ability to connect layers of neural networks has yielded staggering results. What  has emerged is the so-called “deep” architecture of artificial neurons, referred to as Deep Neural Networks, where several layers of interconnected neurons are used to progressively find patterns in data or to  make logical or relational connections between data points. 

Deep  networks of artificial neurons have been used to recognize images,  even detecting cancer at levels of accuracy equalling that of experienced doctors. No single neuron in these networks encodes a distinct part of the  decision-making process. 

The thousands or hundreds of thousands  of neurons work together to arrive at a decision. A layer or cluster of neurons may encode some feature extracted from the data (e.g., an eye  or an arm in a photograph), but often what is encoded will not be intelligible to human beings.  

The net result is akin to the way one “knows” how to ride a bike. Although one can explain the process descriptively or even provide detailed steps, that information is unlikely to help someone who has never ridden one before to balance on two wheels. One learns to ride a bike by attempting to do so over and over again and develops an intuitive understanding. 

Because a neural network is learning from experience, its decision-making process is likewise intuitive. Its knowledge cannot in most cases be reduced to a set of instructions, nor can one in most cases point to any neuron or group of neurons to determine what the  system found interesting or important.  


Its power comes from “connectionism,” the notion that a large number of simple computational  units can together perform computationally sophisticated tasks.  The complexity of the large multi-layered networks of neurons is what gives rise to the Black Box Problem.


Some machine-learning algorithms are opaque to human beings because they arrive at decisions by looking at many variables at once and finding geometric patterns among those variables that humans cannot visualize.

Modern AI systems are built on machine-learning algorithms that  are in many cases functionally black boxes to humans. At present, it  poses an immediate threat to intent and causation tests that appear in  virtually every field of law. These tests, which assess what is foreseeable or the basis for decisions, will be ineffective when applied to  black-box AI.

The solution to this problem should not be strict liability or a regulatory framework of granularly defined transparency standards for  AI design and use. Both solutions risk stifling innovation and erecting  significant barriers to entry for smaller firms. 

A sliding scale system is  a better approach. It adapts the current regime of causation and intent  tests, relaxing their requirements for liability when AI is permitted to  operate autonomously or when AI lacks transparency, while preserving traditional intent and causation tests when humans supervise AI or when the AI is transparent.

The definition of interpretable AI isn't exactly black and white. To have a productive conversation it's essential to be clear what model interpretability means to different stakeholders:

Deep learning is fundamentally blind to cause and effect.   

Unlike a real doctor, a deep learning algorithm cannot explain why a particular image may suggest disease. This means deep learning must be used cautiously in critical situations. Deep learning’s pattern recognition capabilities have revolutionized technology. 

But if it can’t understand cause and effect, AI will never reach its true potential because it will never come close to replicating human intelligence Machine learning applications involving deep learning are usually trained to accomplish a highly specific task such as recognizing spoken commands or images of human faces. 

Since its explosion in popularity in 2012, deep learning’s unparalleled ability to recognize patterns in data has led to some incredibly important uses, like uncovering fraud in financial activity and identifying indications of cancer in x-ray scans.




GO OR GOLANG ( MY ELDER SON USES THIS )





Go is syntactically similar to C, but with memory safety, garbage collection, structural typing, and CSP-style concurrency. Go is a Procedural, functional and concurrent language

Go is ideal for system programming..  Go supports concurrency..

There are two major implementations:--

Google's self-hosting  compiler toolchain targeting multiple operating systems, mobile devices, and WebAssembly.
gccgo, a GCC frontend.
A third-party transpiler GopherJS compiles Go to JavaScript for front-end web development.

Go is an open-source programming language developed by Google. It is a statically-typed compiled language. This language support concurrent programming and also allows running multiple processes simultaneously. This is achieved using channels, goroutines, etc. Go has garbage collection, which itself does the memory management and allows the deferred execution of functions.

Here, are important reasons for using Go language:--

It allows you to use static linking to combine all dependency libraries and modules into one single binary file based on the type of the OS and architecture.
Go language performed more efficiently because of CPU scalability and concurrency model.
Go language offers support for multiple libraries and tools, so it does not require any 3rd party library.
It's statically, strongly typed programming language with a great way to handle errors


Here, are important reasons for using Go language:--

It allows you to use static linking to combine all dependency libraries and modules into one single binary file based on the type of the OS and architecture.
Go language performed more efficiently because of CPU scalability and concurrency model.
Go language offers support for multiple libraries and tools, so it does not require any 3rd party library.
It's statically, strongly typed programming language with a great way to handle errors

Here, are cons/drawbacks of using GO language:--
Go is not a generic language
API integration with Go does not have an officially supported Go SDK.
Poor Library Support
Fractured Dependency Management



































  1. REGARDING TORTURE / MURDER OF IB OFFICER ANKIT SHARMA BY AN ILLEGAL IMMIGRANT MUSLIM IMMIGRANT MOB LED BY AAP LEADER TAHIR HUSSAIN..

    NOTHING WILL HAPPEN AS TRAITOR JUDICIARY AND MEDIA ARE ON THE SIDE OF THE ILLEGAL IMMIGRANT MUSLIMS..

    INDIAN COPS / SECURITY AGENCIES HAVE NO PRIDE OR HONOR.

    THIS IS WHY CJI GOGOI WAS ABLE TO TREAT CBI CHIEF LIKE A CLASS DUNCE AND MAKE HIM SIT IN A CORNER OF THE COURT ROOM THE WHOLE DAY..

    IN REALITY, IT SHOULD HAVE BEEN THE OTHER WAY AROUND.. CBI DIRECTOR WHO HAS TAKEN THE OATH IS NOT SMALL FRY..

    NOW-- LET US COMPARE INDIA WITH USA.

    MIGUEL ÁNGEL FÉLIX GALLARDO WAS A MEXICAN COCAINE DRUG LORD WHO RAN GUNS (FOR PRESIDENT RONALD REAGAN AND CIA DIRECTOR GEORGE HERBERT WALKER BUSH SENIOR ) TO THE CONTRAS IN NICARAGUA .

    MERCENARY CONTRAS WERE CREATED/ ARMED/ FUNDED BY CIA TO TOPPLE THE PATRIOT SANDINISTA GOVT OF NICARAGUA WHO KICKED OUT JEWISH OLIGARCHS WHO WERE LOOTING THE NATION..

    PATRIOT SANDINISTAS WERE DUBBED AS BAAAAD COMMIES BY PRESIDENT REAGAN.

    US PRESIDENT AND CIA WERE UNDERCUTTING AMERICAN DEA DEPT.. THEY GOT HUGE BRIBES FROM COCAINE DRUG LORD FELIX BYPASSING OFFICIAL PROTOCOL OF US CONGRESS SANCTION OF FUNDS..

    BUT DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO MADE A BIG MISTAKE..

    HE ORDERED THE KILLING OF US DEA AGENT KIKI CAMARENA ( WITH BLESSINGS OF BUSH/ REAGAN ) WHO EXHUMED THE “GUNS FOR COCAINE” CONSPIRACY…

    AS SOON AS THIS HAPPENED DEA WENT AGAINST THE WHITE HOUSE AND CIA.. THEY CREATED THEIR OWN UNOFFICIAL ROGUE HIT SQUAD TO TAKE REVENGE ..

    https://en.wikipedia.org/wiki/Kiki_Camarena

    DEA FOUND OUT DIRECT CIA / WHITE HOUSE INVOLVEMENT IN THE TORTURE AND MURDER OF DEA AGENT KIKI CAMARENA ..

    THE ROGUE DEA SQUAD TORTURED AND KILLED WHOEVER WERE INVOLVED IN THE TORTURE OF KIKI CAMARENA ..

    DEA EXTRACTED CONFESSIONS FROM A MEXICAN DOCTOR AND A MEXICAN POLICE OFFICER AFTER TORTURING THEM.

    A US CIA OFFICER FELIX RODRIGUEZ HAD OVERSEEN THE ENTIRE TORTURE AND KILLING OF THE DEA AGENT ON ORDERS FROM BUSH SR AND REAGAN..

    FELIX RODRIGUEZ RAN THE CONTRA SUPPLY DEPOT .. DEAD MEN TELL NO TALES..

    REAGAN AND BUSH SR ORDERED THE ARREST OF DRUG LORD MIGUEL ÁNGEL FÉLIX GALLARDO TO SHUT DOWN THIS CASE BEFORE SHIT HIT THE FAN.

    https://en.wikipedia.org/wiki/Miguel_%C3%81ngel_F%C3%A9lix_Gallardo

    IN USA , IF YOU KILL A COP HIS MATES GO ROGUE TAKE REVENGE ..  AND THIS IS UNOFFICIALLY ALLOWED..   THIS IS WHY NOBODY KILLS A COP OR CIA/ DEA OFFICERS IN US..

    IT IS A DISGRACE THAT A MUSLIM SHAHRUKH POINTED A GUN AT A COP FROM SIX INCHES RANGE.. AND HE IS STILL ALIVE..    IN ANY OTHER NATION, HE WOULD HAVE BEEN SHOT DEAD ON THE SPOT.. NO JUDGES – NO JURY..

    TRAITOR JUDGES IN FOREIGN PAYROLL CAUSED ETHNIC CLEANSING OF KASHMIRI PANDITS...

    TRAITOR JUDGES CREATED THE NAXAL RED CORRIDOR...

    THEY NEVER EMPHATISED WITH SLAIN JAWANS AND THEIR FAMILIES ..

    ILLEGAL COLLEGIUM JUDICIARY HAS NO POWERS TO INTERFERE WITH BHARATMATAs INTERNAL/ EXTERNAL SECURITY....

    OUR JUDICIARY IS PACKED WITH TRAITOR JUDGES IN FOREIGN PAYROLL.

    WE DONT NEED THE "VISHWAAS" OF TRAITOR MUSLIMS IN PAKISTANI ISI PAYROLL.

    https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

    BHARATMATA IS BEING BLED BY TRAITOR JUDGES , BENAMI MEDIA JOURNALISTS AND PAKISTANI ISI FUNDED NGOs.

    WE THE PEOPLE WATCH IN UTTER FRUSTRATION HOW ILLEGAL COLLEGIUM JUDICIARY IS TREATING “WE THE PEOPLE” AND THE CONSTITUTION IN CONTEMPT..

    Capt ajit vadakayil
    ..
    1. PUT ABOVE COMMENT IN WEBSITES OF-
      TRUMP
      PUTIN
      INDIAN AMBASSADOR TO USA/ RUSSIA
      US / RUSSIAN AMBASSADOR TO INDIA
      EXTERNAL AFFAIRS MINISTER/ MINISTRY
      PRESIDENT OF NICARAGUA
      AMBASSADOR TO / FROM NICARAGUA
      PMO
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      RAW
      IB CHIEF
      IB OFFICERS
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      HOME MINISTRY
      DEFENCE MINISTER/ MINISTRY
      ALL 3 ARMED FORCE CHIEFS-- PLUS TOP CDS CHIEF
      ALL DGPs OF INDIA
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      CJI BOBDE
      SUPREME COURT JUDGES/ LAWYERS
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      WILLIAM DALRYMPLE
      KONRAED ELST
      FRANCOIS GAUTIER
      NITI AYOG
      AMITABH KANT
      PRESIDENT OF INDIA
      VP OF INDIA
      SPEAKER LOK SABHA
      SPEAKER RAJYA SABHA
      THAMBI SUNDAR PICHAI
      SATYA NADELLA
      CEO OF WIKIPEDIA
      QUORA CEO ANGELO D ADAMS
      QUORA MODERATION TEAM
      KURT OF QUORA
      GAUTAM SHEWAKRAMANI
      SPREAD ON SOCIAL MEDIA

      SPREAD MESSAGE VIA WHATS APP

  1. THIS IS ONE OF THE MOST IMPORTANT COMMENTS EVER MADE ON THIS PLANET.
    ############################################################

    SOMEBODY CALLED ME UP AND ASKED ME

    CAPTAIN

    WHY IS US DEMOCRAT PRESIDENTIAL CANDIDATE BERNIE SANDERS SUPPORTING MUSLIMS AND RUNNING DOWN HINDUS IN THIS DELHI RIOTS..

    WELL

    TO UNDERSTAND THIS , LEARN THE FOLLOWING SHOCKING TRUTHS

    BERNIE SANDERS IS A COMMIE JEW..

    COMMIE JEWS HAVE TAKEN LEADERSHIP OF MUSLIMS ALL OVER THE PLANET SINCE THE PAST SEVERAL CENTURIES ..

    JEW ROTHSCHILD CREATED "SEAMLESS BOUNDARIES" IN EU.. WITH COMMON CURRENCY. AFTER THAT HUNDREDS OF THOUSANDS OF SYRIAN MUSLIMS HAVE BEEN ALLOWED TO FLOOD INTO EU AND SCANDINAVIA USING A DROWNED SYRIAN BOY AS A TRIGGER..

    WHY?

    THE REASON IS ALMOST ALL EU AND SCANDINAVIAN NATIONS ARE RULED BY CRYPTO JEWS..

    THE IDEA IS TO SCREW CHRISTIANS / HINDUS USING MUSLIMS ( NAIVE RIGHT TO LEFT WRITING PARTY ) WHOSE TOP LEADERS WILL BE JEWS..

    HAVE YOU SEEN A SINGLE TOP MUSLIMS LEADER IN INDIA OR ABROAD WITH ZEBIBA PRAYER MARK IN THE RIGHT PLACE, IF THEY HAVE IT AT ALL?.

    http://ajitvadakayil.blogspot.com/2011/07/cracked-heels-and-prayer-marks-capt.html

    THE JEWISH DEEP STATE IN ISTANBUL CREATED THE SUNNI/ SHIA DIVIDE..

    http://ajitvadakayil.blogspot.com/2019/09/istanbul-deep-seat-of-jewish-deep-state.html

    ALL MADRASSAS ON THIS PLANET HAVE BEEN CREATED AND FUNDED BY JEW ROTHSCHILD.. WAHABBI/ SALAFI FUNDS ARE JEWISH..

    ISLAMIC BANKING IS JEWISH -- PAKISTANI BANK BCCI WAS A JEWISH BANK. ( I WILL WRITE A FULL POST ON THIS BANK LATER )..

    JEW ROTHSCHILD CREATED THE JEWISH PATHAN CLAN ( PASHTUNS )..AND INDUCTED THEM INTO INDIA..

    PAKISTANI IMRAN KHAN IS A JEW .. MALALA YOUSAFZAI IS A JEWESS. JINNAH WAS A JEW..

    CRYPTO JEW AFRIDI CLAN WAS CREATED TO CONTROL THE BOLAN/ KHYBER PASSES..

    EX-PRESIDENT ZAKIR HUSSAIN WHO HAS BEEN SEEN PRAYING IN THE SYNAGOGUE OF HAN MARKET DELHI IS A AFRIDI JEW.   HIS GRANDSON IS SALMAN KHURSHID..

    ALMOST ALL MAJOR INDIAN NATIONAL CONGRESS MUSLIMS LEADERS WERE JEWS..  MALANA ABDUL KALAM AZAD WAS A QURESHI JEW..

    KHAN ABDUL GAFFAR KHAN WAS A JEW.. WE GAVE HIM BHARAT RATNA..

    ALMOST ALL MAJOR MUSLIM KINGDOMS IN 1947 WERE RULED BY CRYPTO JEWS.. TIPU SULTAN WAS A JEW.   NIZAM OF HYDERABAD IS A JEW..

    ISIS WAS CREATED/ ARMED/ FUNDED BY JEWS..  HUNDREDS OF HARDCORE ISLAMIC ISIS SUICIDE BOMBERS NEVER KILLED A SINGLE JEW-- WHY?

    THE LAST 70% OF OTTOMAN EMPIRE SULTANS WERE JEWS.. THE MOTHER OF SULTAN MEHMED II WHO FINISHED OFF THE CHRISTIAN ROMAN EMPIRE AT CONSTANTINOPLE WAS A JEWESS.

    ALL MOGHUL EMPERORS AFTER HUMAYUN WERE JEWS.. HUMAYUN'S WIFE WAS A JEWESSS.

    ALL OIL RICH MUSLIM KINGDOMS OF MIDDLE EAST ARE RULED BY JEW KINGS..

    ROTHSCHILD USED JEW LAWRENCE OF ARABIA FOR THIS.. LAWRENCE OF ARABIA WAS MARRIED TO THE DAUGHTER OF FRENCH JEW MICHAEL HARRY NEDOU..   LATER SHEIKH ABDULLAH MARRIED THIS WOMAN AKBAR JEHAN..

    WHEN OIL GETS OVER THESE JEW KINGS WILL HAND OVER POWER TO THE ARAB PEOPLE SAYING "DEMOCARASSYY WERY GOOODD" AND RUN AWAY TO THE WEST WHERE THEY HAVE SALTED AWAY THEIR ILL GOTTEN WEALTH ..

    POET IQBAL WAS A JEW

    JAUHAR ALI BROTHERS WERE JEWS..

    JEWS CREATED THE AMU AND JAMIA UNIVERSITIES..

    JEW ROTHSCHILD BUILT ALL THE MOSQUES IN KANPUR -- ATTACHED TO HIS TANNERIES.. THESE WERE THE FIRST MOSQUES TO BE FITTED WITH LOUDSPEAKERS, WHICH WERE BASICALLY "RISE AND SHINE REVEILLE CALL" TO START WORKING..

    ROTHSCHILD ELIMINATED OTTOMAN SULTANS AND USED JEW MUSTAFA KEMAL ATATURK TO RULE .

    ALL YOUNG TURKS WERE JEWS.. IMAGINE THE STUPID INDIAN MEDIA WERE CALLING CHANDRASHEKHAR/ RAHUL GANDHI/ PILOT/ SCINDIA AS YOUNG TURKS..

    YOUNG TURK JEWS CONDUCTED THE ARMENIAN CHRISTIAN GENOCIDE AND BLAMED IT ON MUSLIMS..

    http://ajitvadakayil.blogspot.com/2015/04/lawrence-of-arabia-part-two-capt-ajit.html

    CONTINUED TO 2--
    1. CONTINUED FROM 1--

      WHEN MAJOR MUSLIM LEADERS DIE IN INDIA, WHITE JEWS ATTEND THE FUNERAL --HIDING THEIR FACES.. WHY? WHEN OWAISIs FATHER DIED WE KNOW HOW MANY TOP WHITE JEW LEADERS FROM ISRAEL AND USA ATTENDED....

      http://ajitvadakayil.blogspot.com/2013/04/razakers-of-mim-operation-polo-to-annex.html

      AL JAZEERA SUPPORTS INDIAN MUSLIMS ALWAYS.. THIS IS A QATARI JEWISH CHANNEL..

      MF HUSSAIN WAS A JEW.. HE PAINTED HINDU GODS HAVING SEXUAL ORGIES.. HE WAS GIVEN REFUGE BY THE JEWISH ROYAL FAMILY OF QATAR..

      EDUCATED INDIAN MUSLIMS MUST SAVE THEIR OWN CLAN.. THEY MUST NOT ALLOW INDIAN ISLAM TO BE HIJACKED BY RIGHT TO LEFT WRITING ILLITERATES WHO ARE CONTROLLED BY JEWS.

      THERE ARE MORE MUSLIMS IN INDIA THAN IN PAKISTAN..

      http://ajitvadakayil.blogspot.com/2013/01/the-kashmir-conflict-capt-ajit-vadakayil.html

      OMAR ABDULLAHs MOTHER IS A WHITE JEWESS MOLLY.. HIS GRANDMOTHER IS JEWESS AKBAR JEHAN..   IN WHAT WAY IS HE MUSLIM ? HIS GREAT GRANDFATHER WAS CRYPTO JEW GHIAZUDDIN GHAZI..

      IN 1947 ROTHSCHILD WHO RULED INDIA WANTED INDIAN LANDMASS TO BE DIVIDED AMONG THREE JEWISH FAMILIES.. JINNAH/ NEHRU/ ABDULLAH.

      THE LAST POLICE CHIEF OF THE LAST JEW MOGHUL EMPEROR WAS A JEW WITH A MUSLIM NAME..GHIAZUDDIN GHAZI ...  HIS BUNGALOW WAS NAMED "YAMUNA NEHR"..

      THE SURNAME "NEHRU" IS NOT KASHMIRI HINDU.. IT JUST MEAN A FELLOW LIVING IN "NEHR BUNGALOW".

      http://ajitvadakayil.blogspot.com/2012/12/sir-muhammed-iqbal-knighted-for.html

      KHAN MARKET DELHI OPIUM RETAIL SALES WAS CONTROLLED BY PASHTUN KHAN JEWS..

      THE MUMBAI MAFIA WAS CONTROLLED BY JEW PATHANS..

      MOST BOLLYWOOD KHANS ARE JEWS, WHOSE ANCESTORS WERE OPIUM DRUG STREET RUNNERS..

      http://ajitvadakayil.blogspot.com/2010/11/drug-runners-of-india-capt-ajit.html

      I AM AT THE 60% REVELATIONS SEGMENT.. I HAVE NOT YET REVEALED 2% OF SHOCKING TRUTHS REGARDING JEWS .

      REAL SHOCKERS WILL COME ONLY AFTER THE 98 % SEGMENT..

      capt ajit vadakayil
      ..

BELOW: SPOT THE CUNT CONTEST



SPOT THE "PIECE OF SHIT" CONTEST




THIS POST IS NOW CONTINUED TO PART 14 BELOW--

https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do_27.html




CAPT AJIT VADAKAYIL
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WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 14 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 13, BELOW--




OBJECTIVE AI CANNOT HAVE A VISION,   IT CANNOT PRIORITIZE,    IT CANT GLEAN CONTEXT,    IT CANT TELL THE MORAL OF A STORY ,   IT CANT RECOGNIZE A JOKE,    IT CANT DRIVE CHANGE,     IT CANNOT INNOVATE,  IT CANNOT DO ROOT CAUSE ANALYSIS ,   IT CANNOT MULTI-TASK,    IT CANNOT DETECT SARCASM,   IT CANNOT DO DYNAMIC RISK ASSESSMENT ,   IT IS UNABLE TO REFINE OWN KNOWLEDGE TO WISDOM,   IT IS BLIND TO SUBJECTIVITY,   IT CANNOT EVALUATE POTENTIAL,    IT CANNOT SELF IMPROVE WITH EXPERIENCE,    IT DOES NOT UNDERSTAND BASICS OF CAUSE AND EFFECT,    IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,     IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,   IT CANNOT MENTOR,    IT CANNOT BE CREATIVE,   IT CANNOT PATENT AN INVENTION,  IT CANNOT SEE THE BIG PICTURE ,  IT CANNOT FIGURE OUT WHAT IS MORALLY WRONG,  IT CAN BE FOOLED EASILY USING DECOYS WHICH CANT FOOL A CHILD,  IT IS PRONE TO CATASTROPHIC FORGETTING,   IT CANNOT EVEN SET A GOAL …  

ON THE CONTRARY IT CAN SPAWN FOUL AND RUTHLESS GLOBAL FRAUD ( CLIMATE CHANGE DUE TO CO2 ) WITH DELIBERATE BLACK BOX ALGORITHMS,  JUST FEW AMONG MORE THAN 40 CRITICAL INHERENT DEFICIENCIES.


HUMANS HAVE THINGS A COMPUTER CAN NEVER HAVE.. A SUBCONSCIOUS BRAIN LOBE,  REM SLEEP WHICH BACKS UP BETWEEN RIGHT/ LEFT BRAIN LOBES AND FROM AAKASHA BANK,  A GUT WHICH INTUITS,   30 TRILLION BODY CELLS WHICH HOLD MEMORY,   A VAGUS NERVE , AN AMYGDALA ,  73% WATER IN BRAIN FOR MEMORY,  10 BILLION MILES ORGANIC DNA MOBIUS WIRING ETC.





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https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do_29.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_4.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_25.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_88.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_15.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_94.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_1.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do_21.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do_27.html






Without the ability to understand cause and effect, deep learning algorithms will never be able to explain why an x-ray image suggests the presence of an ailment. In some cases, comprehending cause and effect may seem like common sense to humans. 

But enabling AI to have the same epiphanies in reasoning would be revolutionary. Essentially, the algorithm forms hypotheses about the causal relationships between variables, then it tests how changing a variety of variables affects its theories. 

Through this iterative trial and error, the algorithm should be able to start differentiating between causation and correlation. For instance, it should still be able to recognize that cancer can be caused by smoking as opposed to hospital visits, even though both factors are heavily related to the situation. 

The subset of machine learning relies on artificial neural networks to simulate the way human brains learn by strengthening neural connections. Basically, the neural network is fed and trained on data repeatedly until it gradually adjusts its outcomes to be correct. This is how neural networks can eventually recognize cats in photos with extreme accuracy — after seeing hundreds of thousands of cat images, it starts to “get the picture.”

But none of this training allows deep learning to generalize..

Correlation and causation are often confused because the human mind likes to find patterns even when they do not exist. We often fabricate these patterns when two variables appear to be so closely associated that one is dependent on the other. That would imply a cause and effect relationship where the dependent event is the result of an independent event. 

However, we cannot simply assume causation even if we see two events We cannot simply assume causation even if we see two events happening, seemingly together, before our eyes.happening, seemingly together, before our eyes. One, our observations are purely anecdotal. Two, there are so many other possibilities for an association, including:

The opposite is true: B actually causes A.
The two are correlated, but there’s more to it: A and B are correlated, but they’re actually caused by C.
There’s another variable involved: A does cause B—as long as D happens.
There is a chain reaction: A causes E, which leads E to cause B (but you only saw that A causes B from your own eyes).
One of the most basic tenants of statistics is that correlation does not imply causation. In turn, a signal’s predictive power does not necessarily imply in any way that that signal is actually related to or explains the phenomena being predicted.

This distinction matters when it comes to machine learning because many of the strongest signals these algorithms pick up in their training data are not actually related to the thing being measured.

Deep learning is fundamentally blind to cause and effect. Unlike a real doctor, a deep learning algorithm cannot explain why a particular image may suggest disease. This means deep learning must be used cautiously in critical situations.

Deep learning uses artificial neural networks to mathematically approximate the way human neurons and synapses learn by forming and strengthening connections. Training data, such as images or audio, are fed to a neural network, which is gradually adjusted until it responds in the correct way. A deep learning program can be trained to recognize objects in photographs with high accuracy, providing it sees lots of training images and is given plenty of computing power.

But deep learning algorithms aren’t good at generalizing, or taking what they’ve learned from one context and applying it to another. They also capture phenomena that are correlated—like the rooster crowing and the sun coming up—without regard to which causes the other.

Too much of deep learning has focused on correlation without causation, and that often leaves deep learning systems at a loss when they are tested on conditions that aren't quite the same as the ones they were trained on





Confusion matrix, also known as an error matrix.

A confusion matrix is a table that is often used to describe the performance of a classification model (or “classifier”) on a set of test data for which the true values are known. It allows the visualization of the performance of an algorithm.

It allows easy identification of confusion between classes e.g. one class is commonly mislabeled as the other. Most performance measures are computed from the confusion matrix.

Definition of the Terms:--
• Positive (P) : Observation is positive (for example: is an apple).
• Negative (N) : Observation is not positive (for example: is not an apple).
• True Positive (TP) : Observation is positive, and is predicted to be positive.
• False Negative (FN) : Observation is positive, but is predicted negative.
• True Negative (TN) : Observation is negative, and is predicted to be negative.
• False Positive (FP) : Observation is negative, but is predicted positive.

The confusion matrix is capable of giving the researchers detailed information about how a machine learning classifier has performed with respect to the target classes in the dataset. A confusion matrix will demonstrate display examples that have been properly classified against misclassified examples. 

A confusion matrix is a predictive analytics tool. Specifically, it is a table that displays and compares actual values with the model’s predicted values. Within the context of machine learning, a confusion matrix is utilized as a metric to analyze how a machine learning classifier performed on a dataset. A confusion matrix generates a visualization of metrics like precision, accuracy, specificity, and recall.

The reason that the confusion matrix is particularly useful is that, unlike other types of classification metrics such as simple accuracy, the confusion matrix generates a more complete picture of how a model performed




Machine learning is the ability of  computer systems to improve their performance through  exposure to data, without the  need to follow explicitly programmed instructions.
Algorithms are routine processes or sequences of instructions for analysing data, solving problems, and performing tasks.

 “Self-learning” algorithms,  however, are increasingly  replacing programmed  algorithms.Essentially, a self-learning algorithm is programmed to refine its own performance. In the context of machine learning, this requires a system powerful enough to process and analyze a ton of information. 

Before even creating a model we should come up with a strategy of how to create a repeatable process so that future data can be used to update or retrain the current model. Several strategies are worth considering:

1. Create a new model on a regular basis incorporating the new data and switch the new model with the old one in production. The disadvantage of this is that retraining a model can take quite some time and resources and by the time a new model has been trained, it might no longer be up to date. Obviously, this depends on the size and complexity of the model and the time needed to actually train it.

2. Implement a self-learning algorithm that ingests batches of new data. New data can then be added to the existing model on a regular basis. The disadvantage of this is that there aren’t many out of the box algorithms that support this type of retraining.

3. Implement a self-learning algorithm that ingests new data as it becomes available. Ready to use options for this is are also limited but you could always develop your own custom solution.

Automatically trained algorithms are more difficult to fine-tune, over-fitting can be a great concern and model stability is a major issue. Your model shouldn’t be giving you drastically different results every time it is re-trained. If this is happening then your algorithm is not stable enough and as a result of not learning larger trends in your underlying data. 

These problems can be harder to debug and fix with automatically re-trained models.Revising a system is time-consuming. Having a system in place that updates machine learning models automatically gives you peace of mind and allows systems to be accurate and reliable in production for much longer periods of time.

Analytics is the use of data,  statistical modelling science, and  algorithms to reliably generate insights, predict outcomes, simulate scenarios, and optimise decisions.

Cognitive technologies refer to  the underlying technologies that  enable artificial intelligence (AI).  AI is the theory and development  of computer systems that are able  to perform tasks that normally require human intelligence. 

The ability of AI applications to work with datasets too large for manual handling make it possible to reveal or even predict corruption or fraud that previously was nearly or completely impossible to detect.

AI-assisted procedures can replace previously corruption-prone processes.

Digitisation is a prerequisite for AI to be deployed in anti-corruption efforts.

Algorithmic bias is often inherited from the datasets used to train the algorithm. Some systems ‘learn’ how to achieve the optimal result with no supervision. Artificial neural networks mimic the way our brain is constructed. 

Millions of calculations are performed and sent between the nodes of the network, generating complexity that can become impossible to explain. The ‘black box problem’ refers to opaque calculations in complex algorithms.

Algorithm driven chatbots reply to our questions in text or spoken language.  These are deep state brainwash tools..

Machine learning models for fraud detection can also be used to develop predictive and prescriptive analytics software. Predictive analytics offers a distinct method of fraud detection by analyzing data with a pre-trained algorithm to score a transaction on its fraud riskiness.

Questions persist on how to handle biased algorithms, our ability to contest automated decisions, and accountability when machines make the decisions. How such systems relate to the right to privacy, the right to explanation, and the ‘right to be forgotten‘ also remain topics of debate.


THE ILLEGAL COLLEGIUM JUDICIARY CONTROLLED BY THE JEWISH DEEP STATE HAS BLED BHARATMATA FOR TOO LONG..

OUR KAYASTHA LAW MINISTER PRASAD IS A MOST USELESS FELLOW..   IN 1976 PRASAD WAS THE LACKEY OF CIA SPOOK KAYASTHA AND FELLOW BIHARI JP..


IF AI IS APPLIED WE CAN FIND OUT THE JEWISH AMERICAN BASTARDS WHO MILKED IRAQ AFTER THE WAR..  THESE ARE THE SAME BASTARDS WHO CAUSED THE WAR




Algorithms applied to track transactions and the location of recipients will flag unexpected behaviours, transactions or movements. By this the WFP can uncover attempts of fraud or misuse. Severe criticism has risen on how a company closely related US state security agencies controlled by Jews are to develop data systems for an UN agency.

Black box AI systems for automated decision making, often based on machine learning over big data, map a user’s features into a class predicting the behavioural traits of individuals, such as credit risk, health status, etc., without exposing the reasons why. 

This is problematic not only for lack of transparency, but also for possible biases inherited by the algorithms from human prejudices and collection artifacts hidden in the training data, which may lead to unfair or wrong decisions

Machine learning constructs decision-making systems based on data describing the digital traces of human activities. Consequently, black box models may reflect human biases and prejudices. Many controversial cases have already highlighted the problems with delegating decision making to black box algorithms in many sensitive domains, including crime prediction, personality scoring, image classification, etc.

Predictive algorithms tell you about the likelihood of a future outcome with scientific accuracy. Big data is a collection of moving parts that can be smartly mixed and matched to model hundreds of different outcomes (negative and positive) that will guide your decision making.

Predictive analytics identifies patterns in previous data to answer the question, “What might happen next?”

Predictive analytics is the practice of applying mathematical models to large amounts of data to identify patterns of previous behavior and to predict future outcomes. The combination of data mining, machine learning and statistical algorithms provides the “predictive” element, allowing predictive analytics tools to go beyond simple correlation. In business, predictive analytics has a wide variety of uses..

Predictive analytics is not the same as predictive modeling. Predictive modeling is a technique used in predictive analytics in which data is applied to a particular algorithmic mathematical process (the model) to determine an outcome.

Predictive analytics is not the same as data mining. Data mining is the process of examining and analyzing large amounts of data to identify patterns and relationships. Making predictions or forecasts based on those data patterns is the job of predictive analytics.

What’s the difference between an algorithm and a predictive model?

Algorithms are the mathematical basis of predictive analytics. They are the series of steps, like a recipe, executed to achieve a result or solution. Models define the way the algorithms are applied to solve a particular problem. The model is the framework that defines the questions, and the variables considered in answering them. The algorithms are the steps used to weigh variables and arrive at answers.

A quick web search will reveal that many people use the terms “algorithm” and “predictive model” interchangeably. The word “classifier” is also used in the same context. Again, while the terminology is fluid, “classifier” is generally used to indicate an algorithm specifically designed for classification.

The most common models used in predictive analytics are classification algorithms and regression algorithms.

Classification algorithms sort (or classify) data by category. Is this person female or male? Is this email spam or not spam?

Regression algorithms are used to predict a numerical outcome. Will the price go up or down?
Regression models a target prediction value based on independent variables. It is mostly used for finding out the relationship between variables and forecasting.. 

Logistic regression model takes a linear equation as input and use logistic function and log odds to perform a binary classification task.Regression is based on a hypothesis that can be linear, quadratic, polynomial, non-linear, etc. The hypothesis is a function that based on some hidden parameters and the input values




Data scientists use a variety of predictive models based on the type of outcome they are hoping to achieve. The math behind each algorithm is complex and beyond the scope of this article, but here are a few of the most popular predictive analytics algorithms and a brief description of how they can be used.

Predictive analytics in banking and financial services: Predictive analytics is valuable across the spectrum of banking and financial service activities, from assessing risk to maximizing customer relationships. Predictive analytics are used to access the following:

Linear regression. This compares a dependent variable with one or more independent variables. It is one of the most common algorithms, often used for predicting an outcome or forecasting an effect, and determining which variables have the most impact.

Random forest is a widely-used algorithm for both classification and regression. It is an ensemble technique (a combination of multiple algorithms) that combines multiple decision trees to get more accurate results than a single decision tree.

Naive Bayes is a simple but powerful algorithm often used for text categorization, including spam filters. A Naive Bayes spam filter correlates the words in an email with spam and non-spam emails to determine the probability of the email in question being spam.

K-nearest neighbors (KNN) is used to predict the characteristics of a given data point based on its proximity to other data points. KNN could be used in credit scoring, for example. A loan or credit card applicant with a particular set of financial details would likely have a similar credit rating to other people with the same financial details.

Support vector machines (SVM) can be used for classification or regression problems. An SVM algorithm uses training examples (known data grouped into categories by similarity) to assign new examples to the appropriate category. SVMs have proven effective for image classification (“Is this a tree or a person?”), providing more accurate results than previous methods.

Boosting is an ensemble technique designed to increase accuracy. A model is created using training data, then a second model is created to correct the errors of the first model, then a third to correct the errors of the second, and so on until the desired outcome is achieved.

AdaBoost is considered the first successful boosting algorithm, and the basis on which subsequent models have been built.

Narrow, or weak, AI is designed to perform a specific task, such as facial recognition or product recommendation. General, or strong, AI aims at outperforming humans across multiple domains.

Machine learning (ML): There as 'the science of getting computers to act without being explicitly programmed  Machine learning is an AI component that provides systems with the ability to automatically learn over time, generally  from large quantities of data. 

The learning process is based on observations or data, such as  examples, in order to identify patterns in data and make better predictions. An ML algorithm can be seen as an algorithm that, from data, generates another algorithm, usually referred to as a model.

An algorithm must be transparent if outsiders are to understand how it has been optimized. And when it comes to systems that predict the probability of death, optimization parameters should not be the purview of commercial businesses alone. 

The system’s developers must instead publicly disclose which goals are being pursued with the algorithm and under what conditions it is being used. Both of these aspects must be subject to a public social, political and ethical debate. Moreover, it must be possible to verify the algorithm’s performance.

A number of questions must be asked when it comes to algorithms of this type, such as:--

How reliable are their predictions?

How often do the results include false positives or false negatives?

Are the algorithms truly helpful in achieving the desired goals? What those goals (e.g. improving access to at-home palliative care or reducing costs resulting from unnecessary treatments and interventions)?

Which framework are they embedded in, i.e. which patient groups were they developed for?

Algorithms lack empathy and SUBJECTIVE morality .

Recommendations about a situation so personal and emotional as an impending death should never be made by a computer program. Doctors can use artificial intelligence as an aid, but they will always have to consider the entire individual as they reach their decision on what the best way forward is.

Regardless of how algorithms for predicting death develop in the future, guidelines must be put in place ensuring that it is ultimately a human being – a doctor – who makes the recommendation or decides together with the patient or family what the best way forward is.

Chemotherapy and surgery can be lucrative for hospitals  but not for kosher  INSURANCE COMPANIES greedy for profit.

Most of these automated decision systems rely on traditional statistical techniques like regression analysis.





Without accountability and responsibility, the  use of algorithms and artificial intelligence leads to  discrimination and unequal access to employment opportunities.


ALGORITHMS GIVE COMPUTERS GUIDANCE ON HOW TO SOLVE  PROBLEMS.  

THERE IS NO ARTIFICIAL INTELLIGENCE WITHOUT ALGORITHMS.  

ALGORITHMS ARE,  IN PART, OUR OPINIONS EMBEDDED IN CODE.


Neural networks use “big data,” immensely large collected data sets, to analyze and reveal patterns and trends.

The development of the internet and advances in computer hardware have allowed programmers to take advantage of the vast computational power and the enormous storehouses of data—images, video, audio and text  files strewn across the internet—that, it turns out, are essential to making neural nets work well.

For deep learning to function, algorithms need to be fed data.  Data mining uses algorithms to collect and analyze  data.   Data mining consolidates massive quantities of data generated on the internet and identifies “interpretable patterns”  otherwise too subtle or complex for unaided human  discernment.

When the data is collected and relationships are  identified, it is called a model  For data mining and deep learning to work, programmers  have to translate the problem or desired outcome “into question about the value of some target variable.

Programmers and data miners frequently translate ambiguous  problems into questions computers can solve by focusing on the  value of a target variable. To create the model, the algorithm  is trained to behave in a specific way by the data it is fed.

The definition of a desirable employee is challenging  because it requires prioritization of numerous observable  characteristics that make an employee “good.”

Employers  tend to value action-oriented, intelligent, productive, detail oriented employees.

This subjective decision opens the door  to potential problems.

Essentially, what makes a “good”  employee must be defined in ways that correspond to measurable outcomes: relatively higher sales, shorter production time, or longer tenure

The subjective  choices made both by the programmers and by the employer in previous hiring decisions are absorbed into the algorithm by way  of the data that is used and the subjective labels placed on  specific characteristics.

Thus, when subjective labels are  applied, the results are skewed along the lines of those labels and the data that is utilized.

 Therefore, it is possible for  algorithms and artificial intelligence to inherit prior prejudice  and reflect current prejudices.

Artificial intelligence and algorithms rely on training  data. When these data sets are skewed as a result of bias or  carelessness, the results can be discriminatory

While datasets may be extremely large but possible to comprehend and code may be written with clarity,  the interplay between the two in the mechanisms of the algorithm is what yields the complexity and thus the opacity.

AI is a term, which consists of not only algorithms but also expert systems and formal logic. The branch of computer science that deals primarily with symbolic, non-algorithmic methods of problem solving.

Artificial Intelligence (AI) refers to the creation of computer programs and devices for simulating brain functions and activity. It also refers to the research program aimed at designing and building intelligent artifacts. .. It covers the theory and techniques for the development of algorithms that allow computers to show an ability and/or intelligent activity, at least in specific domains.

Systems able to independently react to signals from the outside world (i.e., signals not directly controlled by programming specialists or anyone else), which therefore cannot be foreseen, in comparison with systems based on algorithms. ..The application of computer science such that a system can learn, reason and store information.

Reinforcement learning, in the context of artificial intelligence, is a type of dynamic programming that trains algorithms using a system of reward and punishment. A reinforcement learning algorithm, or agent, learns by interacting with its environment.

Reinforcement learning is often used for robotics, gaming and navigation. With reinforcement learning, the algorithm discovers through trial and error which actions yield the greatest rewards. 

This type of learning has three primary components: the agent (the learner or decision maker), the environment (everything the agent interacts with) and actions (what the agent can do). The objective is for the agent to choose actions that maximize the expected reward over a given amount of time. 

The agent will reach the goal much faster by following a good policy. So the goal in reinforcement learning is to learn the best policy.

In general, there are two types of machine learning algorithms used in fraud detection: supervised and unsupervised learning. The former uses already annotated data – reviewed and labeled as fraud activity by a human – to learn complex patterns in datasets provided by a business. The latter approach deals with datasets that have not been labeled and infers inner data structure by itself.

Data scientists have access to a range of techniques, which can be broken down in terms of problems they solve: classification and regression. Both can be used to analyse data and provide the answer to whether a transaction was genuine or fraudulent. The typical supervised machine learning algorithms used to solve these problems are logistic regression, decision trees, random forests, and neural networks.

Data Science – How is all the big data analyzed?  Fine, the machine learns on its own through machine learning algorithms – but how?  Who gives the necessary inputs to a machine for creating algorithms and models? No prizes for guessing that it is data science. 

Data Science is a uses different methods, algorithms, processes, and systems to extract, analyze and get insights from data.

Data science focuses on data visualization and a better presentation, whereas machine learning focuses more on the learning algorithms and learning from real-time data and experience.


An algorithm is “a set of guidelines that describe how to perform a task. Within computer science, an algorithm is a sequence of instructions that tell a computer what to do.  AI works through algorithms (neural networks are a type of algorithm), but not all algorithms involve artificial intelligence.

The CDC and other health focused institutions also use machine learning to help predict and understand the way that diseases work, and to find ways to prevent the progression of diseases when they’re able.

The first stage of this work is usually done through statistical analysis, which is then built upon by implementing machine learning algorithms based on confirmed statistics. 

In machine learning, algorithms rely on multiple data sets, or training data, that specifies what the correct outputs are for some people or objects. From that training data, it then learns a model which can be applied to other people or objects and make predictions about what the correct outputs should be for them.

Algorithms incentivized to predict the majority group.

In order to maximize predictive accuracy when faced with an imbalanced dataset, machine learning algorithms are incentivized to put more learning weight on the majority group, thus disproportionately predicting observations to belong to that majority group. The next interactive example illustrates this tendency.

Decision Trees are a type of Supervised Machine Learning (that is you explain what the input is and what the corresponding output is in the training data) where the data is continuously split according to a certain parameter. The tree can be explained by two entities, namely decision nodes and leaves Decision tree algorithm falls under the category of supervised learning. They can be used to solve both regression and classification problems.
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Machine learning algorithms are computer programs that can learn from data. They gather information from the data presented to them and use it to make themselves better at a given task. For example, a machine learning algorithm created to find cats in a given picture is first trained with the pictures of a cat. By showing the algorithm what a cat looks like and rewarding it whenever it guesses right, it can slowly process the features of a cat on its own.

The algorithm is trained enough to ensure a high degree of accuracy and then deployed as a solution to find cats in images. However, it does not stop learning at this point. Any new input that is processed also contributes towards enhancing the accuracy of the algorithm to detect cats in images. ML algorithms use various cognitive methods and shortcuts to figure out the picture of a cat. 

Today, AI has taken the form of computer programs. Using languages, such as Python and Java, complex programs that attempt to reproduce human cognitive processes are written. Some of these programs that are termed as machine learning algorithms can accurately recreate the cognitive process of learning.

These ML algorithms are not really explainable as only the program knows the specific cognitive shortcuts towards finding the best solution. The algorithm takes into consideration all the variables it has been exposed to during its training and finds the best combination of these variables to solve a problem. 

This unique combination of variables is ‘learned’ by the machine through trial and error. There are many types of machine learning, based on the kind of training it undergoes.

Thus, it is easy to see how machine learning algorithms can be helpful in situations where a lot of data is present. The more data that an ML algorithm ingests, the more effective it can be at solving the problem at hand. The program continues to improve and iterate upon itself every time it solves the problem.


Creating a Machine Learning Algorithm

In order to let programs learn from themselves, a multitude of approaches can be taken. Generally, creating a machine learning algorithm begins with defining the problem. This includes trying to find ways to solve it, describing its bounds, and focusing on the most basic problem statement.

Once the problem has been defined, the data is cleaned. Every machine learning problem comes with a dataset which must be analyzed in order to find the solution. Deep within this data, the solution, or the path to a solution can be found through ML analysis.

After cleaning the data and making it readable for the machine learning algorithm, the data must be pre-processed. This increases the accuracy and focus of the final solution, after which the algorithm can be created. The program must be structured in a way that it solves the problem, usually imitating human cognitive methods.

Types of Machine Learning Algorithms

There are many ways to train an algorithm, each with varying degrees of success and effectiveness for specific problem statements..

Reinforcement Learning Algorithms

RL algorithms are a new breed of machine learning algorithms, as the method used to train them was recently fine-tuned. Reinforcement learning offers rewards to algorithms when they provide the correct solution and removes rewards when the solution is incorrect. 

More effective and efficient solutions also provide higher rewards to the reinforcement learning algorithm, which then optimizes its learning process to receive the maximum reward through trial and error. This results in a more general understanding of the problem statement for the machine learning algorithm. 

The Difference Between Artificial Intelligence and Machine Learning Algorithms

Even if a program cannot learn from any new information but still functions like a human brain, it falls under the category of AI.

For example, a program that is created to play chess at a high level can be classified as AI. It thinks about the next possible move when a move is made, like in the case of humans. The difference is that it can compute every possibility, but even the most-skilled humans can only calculate it until a set number moves.

This makes the program highly efficient at playing chess, as it will automatically know the best possible combination of moves to beat the enemy player. This is an artificial intelligence that cannot change when new information is added, as in the case of a machine learning algorithm.

Machine learning algorithms, on the other hand, automatically adapt to any changes in the problem statement. An ML algorithm trained to play chess first starts by knowing nothing about the game. Then, as it plays more and more games, it learns to solve the problem through new data in the form of moves. The objective function is also clearly defined, allowing the algorithm to iterate slowly and become better than humans after training.

While the umbrella term of AI does include machine learning algorithms, it is important to note that not all AI exhibits machine learning. Programs that are built with the capability of improving and iterating by ingesting data are machine learning algorithms, whereas programs that emulate or mimic certain parts of human intelligence fall under the category of AI.
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Mathematical models are being used to help determine who makes parole, who’s approved for a loan, and who gets hired for a job. If you could get access to these mathematical models, it would be possible to understand their reasoning. But banks, the military, employers, and others are now turning their attention to more complex machine-learning approaches that could make automated decision-making altogether inscrutable.

Machine learning algorithms process vast quantities of data and spot correlations, trends and anomalies, at levels far beyond even the brightest human mind. But as human intelligence relies on accurate information, so too do machines. Algorithms need training data to learn from. This training data is created, selected, collated and annotated by humans. And therein lies the problem.

Machine and deep learning algorithms built into automation and artificial intelligence systems lack transparency.  Many of these systems contain an imprint of the biases of the engineers that helped to develop them. In the context of machine learning and artificial intelligence, explainability and interpretability are often used interchangeably 

Interpretability is about the extent to which a cause and effect can be observed within a system. Or, to put it another way, it is the extent to which you are able to predict what is going to happen, given a change in input or algorithmic parameters.

If you feed a machine a good amount of data, it will learn how to interpret, process and analyze this data by using Machine Learning Algorithms. 

A Machine Learning process begins by feeding the machine lots of data. The machine is then trained on this data, to detect hidden insights and patterns.  These insights are used to build a Machine Learning Model by using an algorithm in order to solve a problem.

The training data will be used to build and analyze the model. The logic of the model is based on the Machine Learning Algorithm that is being implemented.

In the case of predicting rainfall, since the output will be in the form of True (if it will rain tomorrow) or False (no rain tomorrow), we can use a Classification Algorithm such as Logistic Regression or Decision Tree.

Choosing the right algorithm depends on the type of problem you’re trying to solve, the data set and the level of complexity of the problem.


Machine Learning Algorithms are the basic logic behind each Machine Learning model. These algorithms are based on simple concepts such as Statistics and Probability.


TAKING ALGORITHMS TO COURT

Citizens have the right to know about the tools, costs, and standard practices of law enforcement agencies that police their communities,

Humans typically select the data used to train machine learning algorithms and create parameters for the machines to "learn" from new data over time. Even without discriminatory intent, the training data may reflect unconscious or historic bias. 

For example, if the training data shows that people of a certain gender or race have fulfilled certain criteria in the past, the algorithm may "learn" to select those individuals at the exclusion of others.

Machine Learning at its most basic is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world

Machine learning is the science of getting computers to act without being explicitly programmed. It is  based on algorithms that can learn from data without relying on rules-based programming.. It  can figure out how to perform important tasks by generalizing from examples

Machine learning research is part of research on artificial intelligence, seeking to provide knowledge to computers through data, observations and interacting with the world. That acquired knowledge allows computers to correctly generalize to new settings.

Regardless of learning style or function, all combinations of machine learning algorithms consist of the following:--

Representation (a set of classifiers or the language that a computer understands)
Evaluation (aka objective/scoring function)
Optimization (search method; often the highest-scoring classifier, for example; there are both off-the-shelf and custom optimization methods used)

Machine learning uses data to feed an algorithm that can understand the relationship between the input and the output. When the machine finished learning, it can predict the value or the class of new data point.

Algorithms are  sets of rules, initially set by humans, for computer programs to follow. Artificial intelligence can tweak these algorithms using machine learning, so programs begin to adapt rules for themselves and continuously self-optimize based on what they learn. 

For example, predictive analytics algorithms become smarter and faster the more they are used and the more data they analyze.

Algorithmic Learning Theory – is a branch of computation learning theory which, unlike statistical learning theory, distinguishes itself by giving a non-probabilistic approach to learning limits. This framework is highly suitable in scenarios where data is not considered a random sample, for example learning a language.

Backpropagation Algorithm  is used in the training of neural network models.  It works by transmitting the error gradient in a backwards direction, from the output layer to the input layer. 

The backpropagation algorithm works with optimization algorithms, like Stochastic Gradient Descent, to solve the 'credit assignment problem,' adjusting the weights of each neuron according to the impact they have on the error.

Behavioral Analytics – uses data about people’s behavior to understand their intent and predict future actions. The upsurge in consumer data from e-commerce platforms, gaming, web and mobile applications, and the Internet of Things feeds predictive behavioral analytics algorithms that can enable marketing teams to target the right offerings to the right micro-segment at the right time.

Machine Learning refers to the processes by which machines and AI algorithmic  oftware “learn” by example and/or teach themselves to recognise patterns or  reach set goals without being explicitly programmed to do so

Reinforcement Learning – uses a kind of algorithm that works by trial and error, where the learning is enabled using a feedback loop of "rewards" and "punishments". When the algorithm is fed a dataset, it treats the environment like a game, and is told whether it has won or lost each time it performs an action. 

In this way, reinforcement learning algorithms build up a picture of the "moves" that result in success, and those that don't. DeepMind's AlphaGo and AlphaZero are good examples of the power of reinforcement learning in action.

A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. 

When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look.  Instead, they do this by leveraging algorithms that learn from data in an iterative process.

The rapid evolution in Machine Learning has caused a subsequent rise in the use cases, demands—and, the sheer importance of ML in modern life. Big Data has also become a well-used buzzword in the last few years.  

This is, in part, due to the increased sophistication of Machine Learning, which enables the analysis of large chunks of Big Data. Machine Learning has also changed the way data extraction and interpretation are done by automating generic methods/algorithms, thereby replacing traditional statistical techniques.

Traditionally, data analysis was trial and error-based, an approach that becomes impossible when data sets are large and heterogeneous. Machine Learning provides smart alternatives to analyzing vast volumes of data. By developing fast and efficient algorithms and data-driven models for real-time processing of data, Machine Learning can produce accurate results and analysis.

Generally, an algorithm takes some input and uses mathematics and logic to produce the output. In stark contrast, an Artificial Intelligence Algorithm takes a combination of both – inputs and outputs simultaneously in order to “learn” the data and produce outputs when given new inputs. 
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Unlike traditional coding models, the outcome of an AI algorithm is very dependent on the data used to train it as it infers results based on what it has been trained on.

Machine learning uses an algorithm to process data, discover rules that are hidden in the data, and that are then encoded in a "model" that can be used to make predictions on new data.

Machine learning is a study of computer algorithms that automatically become better through experience. ML is one of the ways to achieve AI. Machine learning requires large data sets to work with in order to examine and compare the information to find common patterns.

 With machine learning technologies, computers can be taught to analyze data, identify hidden patterns, make classifications, and predict future outcomes. The “learning” comes from these systems’ ability to improve their accuracy over time without explicitly programmed instructions. 

Machine learning typically requires technical experts who can prepare data sets, select the right algorithms, and interpret the output. Most AI technologies, including advanced and specialized applications such as natural language processing and computer vision, are based on machine learning and its more complex progeny, deep learning.

Machine learning trains the algorithms to learn and predict answers to problems by analysing data to make predictions on their own.

In Machine learning  computer algorithms improve over time through their experience of using data – plays an increasingly prominent role in enterprise risk management. AI can be used to create sophisticated tools to monitor and analyze behavior and activities in real time. 

Since these systems can adapt to changing risk environments, they continually enhance the organization’s monitoring capabilities in areas such as regulatory compliance and corporate governance. They can also evolve from early warning systems into early learning systems that prevent threats materializing for real.

Machine learning can support more informed predictions about the likelihood of an individual or organization defaulting on a loan or a payment, and it can be used to build variable revenue forecasting models. It is a technique which develops complex algorithms for processing large data and delivers results to its users. It uses complex programs which can learn through experience and make predictions.

The algorithms are improved by itself through regular input of training data. The goal of machine learning is to understand data and build models from data that can be understood and used by humans. “it gives computers the ability to learn without being explicitly programmed”.


ALGORITHMS HAVE NEVER NEEDED TO EXPLAIN THEMSELVES TO US BEFORE BECAUSE WE WROTE THEM. 

In supervised machine learning an algorithm learns a model from training data.

The goal of any supervised machine learning algorithm is to best estimate the mapping function (f) for the output variable (Y) given the input data (X). The mapping function is often called the target function because it is the function that a given supervised machine learning algorithm aims to approximate.

In machine learning, an algorithm is simply a repeatable process used to train a model from a given set of training data.

You have many algorithms to choose from, such as Linear Regression, Decision Trees, Neural Networks, SVM's, and so on.



It is a particular computer algorithm’s intelligence concerns solving the problems associated with applying that algorithm to analyse the data fed into it. .

Artificial narrow intelligence (ANI) consists of algorithms designed and/or trained to solve particular problems.  Computation is an algorithmic and deterministic type of information processing.

Artificial Neural Network(ANN) uses the processing of the brain as a basis to develop algorithms that can be used to model complex patterns and prediction problems.



Google researchers have recently worked  to develop an AI system that is capable of detecting lung cancer like human radiologists. The system is trained with a deep learning algorithm which interprets CT scans to foresee a patient’s likelihood of possessing the disease..

The study was funded by Google and researchers employed AI as a diagnostic tool to evaluate images and predict disease eliminating human opinion. The AI model detected lung cancers.

Human intelligence is not only associated with logical, algorithmic, or rational thinking.  kinaesthetic and emotional intelligence in humans.  Current implementations of emotions in machines are based on a logical, computable and deterministic approaches, leaving out essential characteristics of emotions such as that emotions interfere with rational processes and optimal decisions.

 In fact, these implementations are founded on the idea that emotions play an important role in making humans more efficient, rationally speaking

TO STOP WORLD HUNGER THE AI SUPERMACHINE WILL CULL THE POPULATION IN THIRD WORD NATION S RATHER THAN GROWING MORE FOOD.. 

AI WILL BE MORE INVOLVED IN “HOW TO PUT A JEW “ AS A RULER IN ALL NATIONS  .. STARTING OFF WITH VENEZUELA , IRAN AND SYRIA.

Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input made in the form of sentences in text or speech format. NLU directly enables human-computer interaction (HCI). ... NLU uses algorithms to reduce human speech into a structured ontology.

Natural-language understanding (NLU) or natural-language interpretation (NLI) is a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem

The umbrella term "natural-language understanding" can be applied to a diverse set of computer applications, ranging from small, relatively simple tasks such as short commands issued to robots, to highly complex endeavors such as the full comprehension of newspaper articles or poetry passages.

Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input made in the form of sentences in text or speech format.

NLU directly enables human-computer interaction (HCI). NLU understanding of natural human languages enables computers to understand commands without the formalized syntax of computer languages and for computers to communicate back to humans in their own languages.

NLU uses algorithms to reduce human speech into a structured ontology. AI fishes out such things as intent, timing, locations and sentiments.

The main drive behind NLU is to create chat and speech enabled bots that can interact effectively with the public without supervision. NLU is a pursuit of many start up and major IT companies. Companies working on NLU include Medium's Lola, Amazon's with Alexis and Lex, Apple's Siri, Google's Assistant and Microsoft's Cortana.

It requires commonsense, understanding of context and creativity, none of which current AI trends possess.

There is a huge gap dividing the world of circuits and binary data and the mysteries of the human brain. Voice transcription is one of the areas where AI algorithms have made the most progress. In all fairness, this shouldn’t even be considered artificial intelligence

Most current AI systems operate as a ‘black box’, with limited interaction capabilities, human context understanding and explanations. . Contextual AI is technology that is embedded in and understands human context and is capable of interacting with humans.

Contextual AI does not refer to a specific algorithm or machine learning method – instead, it takes a human-centric view and approach to AI.. Contextual AI needs to be intelligible, adaptive, customizable and controllable, and context-aware.

While statistical algorithms helped with the context-awareness and adaptivity that is needed for a Contextual AI system, they do fall short on the requirements for humans to understand what is going on, and to customize and control it.

Data structures and algorithms are patterns for solving problems. Developers who know more about data structures and algorithms are better at solving problems. That's why companies like Google, Microsoft and Amazon always include interview questions on data structures and algorithms. .
A neural network is an interconnected group of nodes, akin to the vast network of neurons in the human brain.

Neural networks were inspired by the architecture of neurons in the human brain. A simple "neuron" N accepts input from multiple other neurons, each of which, when activated (or "fired"), cast a weighted "vote" for or against whether neuron N should itself activate. 

Learning requires an algorithm to adjust these weights based on the training data; one simple algorithm (dubbed "fire together, wire together") is to increase the weight between two connected neurons when the activation of one triggers the successful activation of another. . Modern neural networks can learn both continuous functions and, surprisingly, digital logical operations. .

The military uses drones for ISR (Intelligence, Security and Reconnaissance) missions. Implementing artificial intelligence for drones is a combination of mechanical devices, navigational instruments, and machine vision. The AI behind the drone needs to be trained using a supervised learning process.

First, a human operator pilots the drone themselves to collect visual and spatial data from the cameras and lidars; this operation is recorded. People then label objects in the resulting recordings, such as a wall, mountain, or cliffside. The newly labeled recordings are then run through the machine learning algorithm that is planned to operate the drone. 

This would train the drone to distinguish between objects within the field of vision of its mounted camera. The algorithm would also correlate instances of turns and stops to the objects that the drone sees in its camera’s field of vision. This would in essence train the drone to stop or turn when it encountered certain objects.

The vehicle could then get a command to move to a new location. The algorithm behind the software would then be able to move itself and its operational payload (for example, the listening devices it is equipped with) safely to the determined location. 

In the case of autonomous drones, many of them utilize GPS technology and tracking to allow operators to plot the general path of the drone’s flight. As the drone is operating autonomously, the exact flight pattern and maneuvers would be left to the artificial intelligence.  Drones could allow operators to make decisions without being concerned that they might be ambushed from the rear

Many AI tools, algorithms and platforms deployed already have transformed traditional methods of banking and business of money. The impact can be felt across the banking sphere, including core banking, efficiency, customer service, products and services, and profits.

Speaking of fraud, AI security systems are deemed better than even the most sophisticated IT platforms. AI algorithms are designed in a way to detect fraud on the basis of predetermined rules. It uses predictive analysis to prevent fraudulent activities

Google first started innovating with AI in search in 2015 with the introduction of RankBrain, its machine learning-based algorithm. .











Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input.

Algorithmic risks arise from the use of data analytics and cognitive technology-based software algorithms in various automated and semi-automated decision-making environments. Three areas in the algorithm life cycle have unique risk vulnerabilities:

Input data is vulnerable to risks, such as biases in the data used for training; incomplete, outdated, or irrelevant data; insufficiently large and diverse sample size; inappropriate data-collection techniques; and a mismatch between the data used for training the algorithm and the actual input data during operations.

Output decisions are vulnerable to risks, such as incorrect interpretation of the output, inappropriate use of the output, and disregard of the underlying assumptions.

The immediate fallouts of algorithmic risks can include inappropriate and potential illegal decisions. And they can affect a range of functions, such as finance, sales and marketing, operations, risk management, information technology, and human resources.

Algorithms operate at faster speeds in fully automated environments, and they become increasingly volatile as algorithms interact with other algorithms or social media platforms. Therefore, algorithmic risks can quickly get out of hand.

Algorithmic risks can also carry broader and long-term implications across a range of risks, including reputation, financial, operational, regulatory, technology, and strategic risks. Given the potential for such long-term negative implications, it’s imperative that algorithmic risks be appropriately and effectively managed.

The growing prominence of algorithmic risks can be attributed to the following factors:--

Algorithms are becoming pervasive
Machine learning techniques are evolving
Algorithms are becoming more powerful
Algorithms are becoming more opaque
Algorithms are becoming targets of hacking

Conventional risk management approaches aren’t designed for managing risks associated with machine learning or algorithm-based decision-making systems. This is due to the complexity, unpredictability, and proprietary nature of algorithms, as well as the lack of standards in this space.

Three factors differentiate algorithmic risk management from traditional risk management:--

Algorithms are typically based on proprietary data, models, and techniques..  
Algorithms are complex, unpredictable, and difficult to explain  .
There’s a lack of standards and regulations that apply to algorithms

To effectively manage algorithmic risks, there’s a need to modernize traditional risk-management frameworks. Organizations should develop and adopt new approaches that are built on strong foundations of enterprise risk management and aligned with leading practices and regulatory requirements.

Algorithms today have the ability to absorb more data and, hence, be more accurate. As long as the data is good and clean, feeding another million datasets to an algorithm will inch up its accuracy. This has caused an unending hunger for well-annotated and labelled data for AI algorithms and applications.




In recent years, criminal justice systems in many different countries have begun to use algorithmic risk assessment tools. All such tools automate the  analysis of whatever data has been inputted into the  system. 

Most of these tools still rely on manually-inputted data from questionnaires similar to those  that were part and parcel of the last generation of  risk-assessment tools, while newer tools are fully automated and rely on information that already exists  in various government databases.

Three different kinds of “opacity” in algorithms: (1) opacity as intentional corporate or state secrecy, (2) opacity as technical illiteracy, and (3) opacity arising from the characteristics of machine learning algorithms that make them useful. .

Recognizing these distinct forms of opacity is important to determining what technical and non-technical solutions  can prevent algorithms from causing harm.

 On (1), secrecy may be essential to the proper function  of an algorithm (such as to prevent it from being gamed), but such algorithms are easily reviewable  by trusted and independent auditors.

 Regarding (2), the solution to technical illiteracy is simply  greater public education. 

Finally, (3) is difficult because there may be a trade-off between fairness,  accuracy, and interpretability. Certain AI techniques could be avoided in fields where transparency  is crucial, or new benchmarks could be developed to assess such algorithms for discrimination and  other issues.

Even though Opaque AI algorithms such as neural networks or genetic algorithms are so powerful, explaining how to reach the decision is almost impossible. They are almost black boxes!

In contrast, people can read decisions of Transparent AI algorithms such as decision tree or random forest.

If the subject requires legal regulations, then you might need to explain how the decide. However, result is mostly considered more important than the means to an end.

Trusting an opaque  AI algorithm requires blind confidence. You might remember the Microsoft’s conversation bot, Tay. It is based on deep learning system.   But, it lived only 16 hours and killed by Microsoft because the bot becomes a racist ( spoke against slimy Jews ) and tweets genocide supporting sentences..


ALGORITHMIC DECISION-MAKING: Using outputs produced by algorithms to make decisions. One of the earliest forms of algorithmic decision-making that is still in use today in the United States is federal sentencing guidelines for judges. This involves nothing more than a weighted mathematical equation,  drawn from statistics, that recommends a sentence length based on the attributes of the crime.

A weight function is a mathematical device used when performing a sum, integral, or average to give some elements more "weight" or influence on the result than other elements in the same set.
A weighted mean is a kind of average. Instead of each data point contributing equally to the final mean, some data points contribute more “weight” than others. 

If all the weights are equal, then the weighted mean equals the arithmetic mean (the regular “average” you're used to)..  In math and statistics, you calculate weighted average by multiplying each value in the set by its weight, then you add up the products and divide the products' sum by the sum of all weights

Algorithmic decision-making is now ubiquitous in the West, from assigning credit scores, to identifying the best candidates for a job position, to ranking  students for college admissions.   Today, these algorithmic decision-making systems are increasingly  employing machine learning, and they are spreading rapidly.

 They have many of the same problems as  traditional statistical analysis. However, the scale and reach of AI systems, the trend of rapid, careless  deployment, the immediate impact they have on many people’s lives, and the danger of societies viewing  their outputs as impartial, pose a series of new problems. 

Although it’s comforting to imagine AI algorithms as completely emotionless and neutral, that is simply not true. AI programmes are made up of algorithms that follow rules. They need to be taught those rules, and this occurs by feeding the algorithms with data, which the algorithms then use to infer hidden patterns and irregularities. 

If the training data is inaccurately collected, an error or unjust rule can become part of the algorithm - which can lead to biased outcomes. 

Racial discrimination in the AI used by credit agencies and parole boards.

The algorithm used by a credit agency might be developed using data from pre-existing credit ratings or based on a particular group’s loan repayment records. Alternatively, it might use data that is widely available on the internet - for example, someone’s social media behaviour or generalized 

characteristics about the neighborhood in which they live. If even a few of our data sources were biased, if they contained information on sex, race, colour or ethnicity, or we collected data that didn’t equally represent all the stakeholders, we could unwittingly build bias into our AI.

If we feed our AI with data showing the majority of high-level positions are filled by men, all of a sudden the AI knows the company is looking to hire a man, even when that isn’t a criteria. Training algorithms with poor datasets can lead to conclusions such as that women are poor candidates for C-suite roles, or that a minority from a poor ZIP code is more likely to commit a crime.

As we know from basic statistics, even if there is a correlation between two characteristics, that doesn’t mean that one causes the other. These conclusions may not be valid and individuals should not be disadvantaged as a result. Rather, this implies that the algorithm was trained using poorly collected data and should be corrected.

Fortunately, there are some key steps we can take to prevent these biases from forming in our AI.

1. Awareness of bias

Acknowledging that AI can be biased is the vital first step. The view that AI doesn’t have biases because robots aren’t emotional prevents us from taking the necessary steps to tackle bias. Ignoring our own responsibility and ability to take action has the same effect.

2. Motivation

Awareness will provide some motivation for change but it isn’t enough for everyone. For-profit companies creating a product for consumers have a financial incentive to avoid bias and create inclusive products; if company X’s latest smartphone doesn’t have accurate speech recognition, for example, then the dissatisfied customer will go to a competitor. Even then, there can be a cost-benefit analysis that leads to discriminating against some users.

For groups where these financial motives are absent, we need to provide outside pressure to create a different source of motivation. The impact of a biased algorithm in a government agency could unfairly impact the lives of millions of citizens.

We also need clear guidelines on who is responsible in situations where multiple partners deploy an AI. For example, a government programme based on privately developed software that has been repackaged by another party. Who is responsible here? We need to make sure that we don’t have a situation where everyone passes the buck in a never-ending loop.

3. Ensuring we use quality data

All the issues that arise from biased AI algorithms are rooted in the tainted training data. If we can avoid introducing biases in how we collect data and the data we introduce to the algorithms, then we have taken a significant step in avoiding these issues. For example, training speech recognition software on a wide variety of equally represented users and accents can help ensure no minorities are excluded.

If AI is trained on cheap, easily acquired data, then there is a good chance it won’t be vetted to check for biases. The data might have been acquired from a source which wasn’t fully representative. Instead, we need to make sure we base our AI on quality data that is collected in ways which mitigate introducing bias.

4. Transparency

The AI Now initiative believes that if a public agency can’t explain an algorithm or how it reaches its conclusion, then it shouldn’t be used. In situations like this, we can identify why bias and unfair decisions are being reached, give the people the chance to question the outputs and, as a consequence, provide feedback that can be used to address the issues appropriately. It also helps keep those responsible accountable and prevents companies from relinquishing their responsibilities.

While AI is undeniably powerful and has the potential to help our society immeasurably, we can’t pass the buck of our responsibility for equality to the mirage of a supposedly all-knowing AI algorithms. Biases can creep in without intention, but we can still take action to mitigate and prevent them. It will require awareness, motivation, transparency and ensuring we use the right data.

Modern AI propelled wars -- As the war plane plane swooped low over the jungle, it dropped a bundle of devices into the canopy below. Some were microphones, listening for guerrilla footsteps or truck ignitions. Others were seismic detectors, attuned to minute vibrations in the ground. 

Strangest of all were the olfactory sensors, sniffing out ammonia in human urine. Tens of thousands of these electronic organs beamed their data to drones and on to computers. In minutes, warplanes would be on their way to carpet-bomb the algorithmically-ordained grid square 

The idea of collecting data from sensors, processing them with algorithms fuelled by ever-more processing power and acting on the output more quickly than the enemy lies at the heart of military thinking across the world’s biggest powers. And today that is being supercharged by new developments in artificial intelligence ( AI).

Complex decision-making under uncertainty is at the heart of modern economies. Whether as a consumer deciding which products and services to consume, as an employee when it comes to choosing the right job and career, or as a manager when running daily operations or planning the next factory, we all face constantly and simultaneously complex, interrelated problems for which our natural intelligence seems to have made us particularly well equipped

AI is being used in a surprising number of applications, making judgments about job performance, hiring, loans, and criminal justice among many others. Most people are not aware of the potential risks in these judgments. They should be. . 

One important example is that the right to appeal judicial decisions is weakened when AI tools are involved. In many other cases, individuals don’t even know that a choice not to hire, promote, or extend a loan to them was informed by a statistical algorithm.

At an innovation conference just outside of Silicon Valley, one of the presentations included a doctored video of a very famous person delivering a speech that never actually took place. The manipulation of the video was completely imperceptible.

When the researcher was asked about the implications of deceptive technology, she was dismissive of the question. Her answer was essentially, “I make the technology and then leave those questions to the social scientists to work out”

IMAGINE THE FRENCH QUEEN WAS BEHEADED FOR SOMETHING SHE DID NOT SAY-- “IF PEOPLE DON’T HAVE BREAD THEY CAN EAT CAKE”.



Artificial intelligence bridges the gap between the unstructured data of case law and a lawyer's keen instinct. Algorithms can uncover new patterns in case law and measure the impact of relevant factors on an outcome. 

Instincts honed over the course of a long career can now be quantified, and juniors don't need to wait years before being able to develop their own instincts. Moreover, lawyers can now have unparalleled visibility into the law and have access to the same information as their opposition, no matter the size of the firm.

It's unlikely that machines will ever replace lawyers, but one thing is becoming clear: lawyers that use artificial intelligence will replace lawyers that don't.

In recent years, the advent of alternative legal service providers (ALSPs) has created an entirely new level of competition for law firms that traditionally practice in particular geographic areas and for particular types of clients.

Innovative AI developments in healthcare include the following:

Diagnostic research and development. The ability of AI to identify disease-related risks is quickly developing. For example, one technology company has developed an artificial neural network (a computing system inspired by the biological neural network that involves various machine learning algorithms working together to process complicated data inputs) that uses retinal images to assist in the identification of cardiovascular risk factors. Similarly, Stanford University researchers have developed an algorithm to assist in the identification of skin cancer using neural networks.

Do-it-yourself diagnostics. Smartphones, wearables, and other connected personal devices will continue to become resources for at-home diagnostics, sometimes eliminating the need to go to a doctor’s office. For example, technology companies have developed apps that use image recognition algorithms to identify skin cancer risks and to diagnose urinary tract infections.

AI and medical records. While many large health systems already use electronic medical records, the medical records ecosystem continues to evolve. 

Various companies have developed and now offer programs that analyze unstructured patient medical records by using AI tools like machine learning (a type of AI that involves algorithms that can learn from data without relying on rules-based programming) and natural language processing (a type of AI in which computers can understand and interpret human language) to deliver meaningful and searchable data, such as diagnoses, treatments, dosages, symptoms, etc.

Employers are increasingly using AI to analyze job applicants and make day-to-day employment-related decisions. For example, some employers are using AI-powered software programs to auto-screen resumes as a traditional recruiter would, and others are using AI recruiting assistants to communicate with applicants through messaging apps. 

The information used to structure an AI algorithm could be unintentionally biased, which could potentially lead to discrimination claims by employees and/or applicants. 

If employers are using AI either directly or indirectly to make employment-related decisions, they may want to evaluate employment discrimination risks and mitigate against them, if possible, by, for example, understanding the data used to build out and/or train the AI at issue and regularly auditing decisions made through the use of AI.

Because of the pace of AI development and the prioritization of its growth, employers may want to continue harnessing the opportunities AI presents while staying mindful of legal and regulatory compliance issues.

Processes involving algorithms, direct cause and effect or predictability are far more likely to be assigned to purpose-built software than the less set-in-stone elements of the legal process – and this is why it’s extremely unlikely that lawyers will ever be replaced by robots.

There are a number of particular skills that are required in order for a legal expert to perform well in their role which AI simply cannot currently emulate ( lawyers point of view ).

1. Strategic and Creative Thinking
The ability to “think outside the box” is very human. There are thousands upon thousands of slightly different possible outcomes that may result from every distinguishable action. The human mind – with its ability to judge from experience which is most likely, which is least, and what would need to happen for each to come about – is programmed for these purposes in a far more sophisticated way than AI can currently achieve.

2. Conflict resolution and negotiation
With our understanding of the complexities of human-related processes and our ability to improvise and judge, we are far better equipped to deal with conflict than robots are ever likely to be – and conflict is a lawyer’s bread and butter.

We can read into statements in order to extrapolate the true intentions and priorities of each party on either side of an argument. We can then make adjustments and offers to the opposing party in order to satisfy those intentions and priorities. We can judge when is the right time to push and when to concede – a robot is not capable of these complex mental gymnastics.

3. Emotional Intelligence and Empathy
AI may be able to recognise faces in images, but it can rarely successfully read the feelings those faces show. Humans – to lesser or greater degrees – are capable of the accurate analysis of emotional subtext, the application of intuition and the use of delicately worded or allusive language.

Through these methods, we are able to properly judge how a person feels. This way, we can judge whether proceedings are going well for that individual or not, and we may also be able to determine what we may need to change in order to shift onto the right track. We can also often tell if someone is lying or being manipulated – important skills in the field of law.

4. The Interpretation of Grey Areas
Robots and computers function well when presented with quantifiable data. However, once a situation enters a “grey area” – whether this term refers to morals, processes or definitions – robots are more likely to falter. As lawyers, we excel at using our judgement ( MY LEFT BALL ) when there is no “right” or “wrong” answer, while computers generally require the existence of a definite solution to a problem in order to function correctly.

5. Critical Thinking
Humans are capable of responding to more indicators of “quality” than computers are. While an AI system may be able to analyse a document according to the “true” or “false” statements made within the text, we can judge whether or not it is well-written and analyse the implication of the use of certain words and the overall meaning of the content.

6. Problem Solving
AI cannot yet be programmed to solve problems in the same way that a human mind can. We are capable of working from experience, analysing and responding to failures or mistakes of our own accord, navigating complications and obstacles and understanding the complex reasons why a problem has arisen in the first place.

7. Planning
Because we are able to predict outcomes, make informed assumptions and lay the groundwork for complicated processes, humans are great planners. We know that schedules change and we can create backup plans for that eventuality. We understand the strengths, weaknesses and tendencies of every individual and process involved in our plan, and we can prioritise tasks in order to make every step effective. AI is not yet capable of navigating these nuanced elements.

Developments in AI are actually more likely to create jobs in the legal sector than to displace lawyers. With the development of new technologies, the processing of new patents, the addition of new workplace regulations and the rise of new areas of cyber-crime are inevitable. Because of this, cyber-law is an ever-growing field.

The main difference is that expert system is based on rule, but the artificial intelligence system is based on statistical simulation. Second , the expert system is knowledge based, artificial intelligence is generally using the algorithm to calculate and analyse the best results

The bot and fraud detection algorithms will improve over time, and so will the ability of the bot to go undetected.





AN indirect threat is the impact of AI-powered social media and search algorithms. For example, Facebook’s algorithm determines the content of a user’s newsfeed and influences how widely and to whom content is shared. 

Google’s search algorithm indexes content, and decides what shows up in the top of search  results. These algorithms have played a significant role in establishing and reinforcing echo chambers, and  they ultimately risk negative impacts on media pluralism and inhibition of a diversity of views.

Computational propaganda has been defined as 'the use of algorithms, automation, and human curation to purposefully distribute misleading information over social media networks'. These activities can feed into influence campaigns: coordinated, illegitimate efforts of a third state or non-state agent to affect democratic processes and political decision-making, including (but not limited to) election interference. by 2020, virtually everyone in the World will be online.  

Algorithms on social media and search engines
Algorithms are processes in (computational) calculations or operations. Online platforms such as Google,  Facebook and Twitter use various algorithms to predict what users are interested in seeing, spark engagement and maximise revenues. 

Based on a user's habits and history of clicks, shares and likes, algorithms filter and prioritise the content that the user receives. As users tend to engage more with content that sparks an emotional reaction and/or confirms already existing biases, this type of content is prioritised.

A bot (short for robot) is an automated account programmed to interact like a user, in particular on social media. For disinformation purposes, illegitimate bots can be used to push certain narratives, amplify  misleading messaging and distort online discourse. Some of the bots have been used to spread disinformation

Responding to growing concern about the impact of disinformation bots, Twitter suspended up to 70 million accounts between May and June 2018. Facebook removed 583 million fake accounts in the first  quarter of 2018 in an attempt to combat false news. Experts predict that the next generation of bots will use natural language processing, making it harder to identify them as bots


WHY SHOULD TWITTER / FACEBOOK PREVENT A DESH BHAKT FROM TRANSMITTING HIS CRITICAL POINT OF VIEW TO HIS OWN NATIONS PM ?     

IS A BLOGGER EXPECTED ONLY TO SHOWCASE JEW ROTHSCHILD AND DEEP STATE APPROVED NEWS?

Trolls are human online agents, sometimes sponsored by state actors or deep state to harass other users or post divisive content to spark controversies.

Machine-driven communications (MADCOMs) marry artificial intelligence (AI) with machine learning to generate text, audio and video content, making it easier to tailor messages to individual users' personalities  and backgrounds. For example, MADCOM can use chatbots using natural language processing to engage  users in online discussions, or even to troll and threaten people. 

As deep-learning algorithms evolve, it is  becoming easier to manipulate sound, image and video for impersonation, or to make it appear that a  person did or said something they did not ('deep fakes'). This will make it increasingly difficult to distinguish between real and (highly realistic) fake audiovisual content, further hampering trust online.

The private and public sectors are increasingly turning to artificial intelligence (AI) systems and machine learning algorithms to automate simple and complex decision-making processes. The mass-scale digitization of data and the emerging technologies that use them are disrupting most economic sectors, including transportation, retail, advertising, and energy, and other areas. 

AI is also having an impact on democracy and governance as computerized systems are being deployed to improve accuracy and drive objectivity in government functions.

Algorithms are harnessing volumes of macro- and micro-data to influence decisions affecting people in a range of tasks, from making movie recommendations to helping banks determine the creditworthiness of individuals.

In the pre-algorithm world, humans and organizations made decisions in hiring, advertising, criminal sentencing, and lending. These decisions were often governed by federal, state, and local laws that regulated the decision-making processes in terms of fairness, transparency, and equity. Today, some of these decisions are entirely made or influenced by machines

Algorithms are harnessing volumes of macro- and micro-data to influence decisions affecting people in a range of tasks, from making movie recommendations to helping banks determine the creditworthiness of individuals.

Given this, some algorithms run the risk of replicating and even amplifying human biases, particularly those affecting protected groups.   For example, automated risk assessments used by U.S. judges to determine bail and sentencing limits can generate incorrect conclusions, resulting in large cumulative effects on certain groups, like longer prison sentences or higher bails imposed on people of color.

Bias in algorithms can emanate from unrepresentative or incomplete training data or the reliance on flawed information that reflects historical inequalities. If left unchecked, biased algorithms can lead to decisions which can have a collective, disparate impact on certain groups of people even without the programmer’s intention to discriminate. 

The exploration of the intended and unintended consequences of algorithms is both necessary and timely, particularly since current public policies may not be sufficient to identify, mitigate, and remedy consumer impacts.
..
Back-propagation is just a way of propagating the total loss back into the neural network to know how much of the loss every node is responsible for, and subsequently updating the weights in such a way that minimizes the loss by giving the nodes with higher error rates lower weights and vice versa  

Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input.

Neural networks can be hardware- (neurons are represented by physical components) or software-based (computer models), and can use a variety of topologies and learning algorithms.

AI generally refers to “machines that respond to stimuli in accordance with traditional responses from humans, giving the human capacity for meditation, judgment, and purpose. Intentionality: Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are different from passive machines capable of only mechanical or predetermined responses. 

Using sensors, digital data, or remote inputs, they combine information from a variety of sources, instantly analyze the material, and act on the insights gained from that data. With tremendous improvements in storage systems, processing speed and analytical methods, they have excellent sophistication in analytics and decision making.


Adaptability: AI systems have the ability to learn and adapt when making decisions. In the transportation area, for example, semi-autonomous vehicles have the means of notifying drivers and vehicles about impending congestion, potholes, highway construction or other traffic interruptions. 

Vehicles can take advantage of the experience of other vehicles on the road, without human involvement, and the entire corpus of their “experience” is immediately and completely transferred to other similarly configured vehicles. 

Their advanced algorithms, sensors, and cameras have experience in current operations and use dashboards and visual displays to display information in real-time, allowing human drivers to understand the ongoing traffic and vehicle conditions. And in the case of fully autonomous vehicles, sophisticated systems can fully control a car or truck and make all navigational decisions.

The importance of identifying bias in AI algorithms

Ultimately, AI and ML algorithms, however tech-savvy and automated they eventually become, begin as human ideas. They are then manipulated, designed, tested and trained by humans as well. As such, there are many ways in which human error, judgment, opinion or experience could find a way into the outcome. 

When this happens and the model itself is faulty, it can have an even more difficult time performing amid data that is also biased. In-house training is required to ensure that these situations happen as infrequently as possible and when they do, the issues are caught and reversed as quickly as possible.

Bias can creep in long before the data is collected as well as at many other stages of the deep-learning process." It stems from lack of awareness of the downstream impacts of data, imperfect processes, and operating with a lack of social context. 

Then there's the grand philosophical quandary -- "what the absence of bias should look like." This could take the form of running algorithms alongside human decision makers, comparing results, and examining possible explanations for differences. 

Similarly, if an organization realizes an algorithm trained on its human decisions (or data based on prior human decisions) shows bias, it should not simply cease using the algorithm but should consider how the underlying human behaviors need to change

Algorithms never think for themselves. In fact, they don’t think at all (they’re tools) so it’s up to us humans to do the thinking for them..

Artificial intelligence is an umbrella term that refers to computers that exhibit any form of human cognition. It is a term used to describe the way computers mimic human intelligence. Even by this definition of ‘intelligence’, the way AI functions is inherently different from the way humans think..

In the provided example of an algorithm that analyzes the images of a cat, the program is taught to analyze the shifts in the color of an image and how the image changes. If the color suddenly switches from pixel to pixel, it could be indicative of the outline of the cat. 

Through this method, the algorithm can find the edges of the cat in the picture. Using such methods, ML algorithms are tweaked until they can find the optimal solution in a small dataset.

Once this step is complete, the objective function is introduced. The objective function makes the algorithm more efficient at what it does. While the cat-detecting algorithm will have an objective to detect a cat, the objective function would be to solve the problem in minimal time. By introducing an objective function, it is possible to specifically tweak the algorithm to make it find the solution faster or more accurately.

The algorithm is trained on a sample dataset with the basic blueprint of what it needs to do, keeping in mind the objective function. .

Compounding all of this is essentially two things:--

 (1) virtually all of these AI applications can be expected to barricade themselves with as-is warranties and other pro-developer legal mechanisms that end users invariably agree to without actually ever having a meaningful opportunity to understand what’s at stake; and 

(2) the algorithmic bias is shrouded in secrecy, bolstered by trade secret provisions, non-circumvention (e.g., no reverse engineering) obligations and other features that make it difficult to detect. – 

The Emerging Irrelevance of Algorithmic Transparency in AI. Suppose AI developers agree to be “transparent”, that they are willing to disclose their algorithm. Ultimately, in some instances, this willingness may dispel the allure we normally accord to transparency because when we are dealing with machine learning AI applications, the value of the disclosed algorithm is diminished by its age. 

Stated differently, the more iterations the AI has gone through, what the original developer can disclose becomes more and more meaningless. So while we may be able to take a look under the hood, our desire to understand the “why” of what happened may not be satisfied. 

This, in turn, might bring us to the (uncomfortable) conclusion that we simply don’t understand, or at least don’t fully understand (as much as we’d like to) why the AI produced the result that it did. With that, we will have to learn to be satisfied that the actions of machine-learning AI applications cannot be fully understood. This observation directly ties in with the issue of developer liability.

The Open Algorithms (OPAL) project may facilitate the transition to greater reliance on these ‘private’ data. OPAL aims at extracting key indicators (such as population density, poverty, or diversity) through a secured open source platform.

 It also relies on open algorithms running on the companies’ servers, behind their firewalls. OPAL comes with governance standards that ensure the security, auditability, inclusivity, and relevance of the algorithms for different scenarios.

AI systems can also provide a useful ‘aspirational analogy’ to make future human actions more effective. What makes current AI so impressively good at its job is the credit assignment function. 

The ability of the algorithms to identify and reinforce the Artificial Neural Networks that most contribute to coming up with the “right’ result through many iterations and data-fueled feedback loops. These allow for machine learning. 

In a future ‘Human AI ecosystem’, governments, corporations or the aid sector, could apply AI tools to identify and reinforce what contributes to ‘good policy results’, including outcomes of aid programs. They could also better understand whether these effects are desirable in the long run through feedbacks.

In the pre-algorithm world, humans and organizations made decisions in hiring, advertising, criminal sentencing, and lending. These decisions were often governed by federal, state, and local laws that regulated the decision-making processes in terms of fairness, transparency, and equity. 

Today, some of these decisions are entirely made or influenced by machines whose scale and statistical rigor promise unprecedented efficiencies. Algorithms are harnessing volumes of macro- and micro-data to influence decisions affecting people in a range of tasks, from making movie recommendations to helping banks determine the creditworthiness of individuals. 

In machine learning, algorithms rely on multiple data sets, or training data, that specifies what the correct outputs are for some people or objects. From that training data, it then learns a model which can be applied to other people or objects and make predictions about what the correct outputs should be for them.

The revolution in object detection algorithms brought about by convolutional neural nets and deep neural nets it has really increased the probability of detection.

Computers must be able to recognize an object before they can classify it. "We need to create a labeled data set for training these algorithms [to identify] lots of different objects," Doing so is very manpower intensive


Things will get worse in the future as radars develop the ability to sense their environment with artificial intelligence and machine learning, and adapt their transmission characteristics and pulse processing algorithms to defeat attempts to jam them.


New approaches like REAM seek to enable systems to generate effective countermeasures automatically against new, unknown, or ambiguous radar signals in near real-time. They are trying to develop new processing techniques and algorithms that characterize enemy radar systems, jam them electronically, and assess the effectiveness of the applied countermeasures.

Waveform-agile radar systems of the future will shift frequencies quickly in a pre-programmed electronic dance to foil electronic warfare attempts to defeat them.

The company is moving machine-learning algorithms to the EA-18G carrier-based electronic warfare jet to counter agile, adaptive, and unknown hostile radars or radar modes. REAM technology is expected to join active US Navy fleet squadrons around 2025.

It specializes in EW modeling and simulation. The company has expertise in RF and wireless circuit and systems design; electronic board design, layout, and fabrication; embedded hardware and software design; RF modeling and simulation; computational electromagnetics; antennas; wireless testing; cell phone forensics; servo and stepper motor control; algorithm and digital signal processing development; cryptography; data compression; and RF detection

Unavoidable presence of human bias in designing and, sometimes, training these programs can make it difficult to completely eradicate new errors or course correct after finding a bug.

“Locked” algorithms are those that provide the same result each time the same input is provided. As such, a locked algorithm applies a fixed function (e.g., a static look-up table, decision tree, or complex classifier) to a given set of inputs

An adaptive algorithm is an algorithm that changes its behavior at the time it is run, based on information available and on a priori defined reward mechanism (or criterion). Game artificial intelligence (AI) controls the decision-making process of computer-controlled opponents in computer games. 

Adaptive game AI (i.e., game AI that can automatically adapt the behaviour of the computer players to changes in the environment) can increase the entertainment value of computer games.

Genetic algorithms are computational problem-solving tools (generation over generation, they evolve and they learn). A genetic algorithm is a heuristic search method used in artificial intelligence and computing. It is used for finding optimized solutions to search problems based on the theory of natural selection and evolutionary biology. 

Genetic algorithms are good for searching through large and complex data sets. Genetic algorithms are used in artificial intelligence like other search algorithms are used in artificial intelligence — to search a space of potential solutions to find one which solves the problem. In machine learning we are trying to create solutions to some problem by using data or examples

The process of using genetic algorithms goes like this:--
Determine the problem and goal.
Break down the solution to bite-sized properties (genomes)
Build a population by randomizing said properties.
Evaluate each unit in the population.
Selectively breed (pick genomes from each parent)
Rinse and repeat.

A genetic algorithm is an algorithm that imitates the process of natural selection. They help solve optimization and search problems. ... Genetic algorithms imitate natural biological processes, such as inheritance, mutation, selection and crossover.

Big data is extremely beneficial. However, engineers and scientists are unable to utilize this data without the help of complex AI algorithms.

A genetic algorithm is based on the chootiya Darwinian principle of natural selection. Its purpose is to evolve and quickly solve optimisation problems.

There are many applications for Genetic Algorithms across many industries like air travel, trading and data security.

For example…

In air travel, a genetic algorithm optimizes shape, minimizes wing weight and optimizes fuel weight. This all improves the overall efficiency of the airplane.

In security, GA’s are used for encrypting sensitive data and protecting copyrights. Hackers then create a more complex GA to beat that encryption. The cycle repeats. Possibly forever.

In robotics, a genetic algorithm can be programmed to search for a range of optimal designs for each specific use. It can also return results for entirely new types of robots, ones that can perform multiple tasks and have more general applications.

WITH GENETIC ALGORITHMS YOU ARE NEVER GUARANTEED AN OPTIMAL, OR EVEN A GOOD, SOLUTION, AND IT IS A BLACK ART TO FIND GOOD PARAMETERS AND ENCODING SCHEMES. 

ALSO, YOU OFTEN GET SOLUTIONS THAT ARE RIDICULOUS, IMPLAUSIBLE OR INEFFICIENT BECAUSE THE GA INTERPRETED YOUR FITNESS FUNCTION WITHOUT HUMAN COMMON SENSE.

SO SO SO ,HOW DOES A CHOOTIYA SILVER BULLET GENETIC ALGORITHM WORK?


So in MAD MAN  Darwin’s theory of Natural Selection, three main principles necessary for evolution to happen are :--

Variation — There must be a variety of traits present in the population or a means with which to introduce a variation.
Selection — There must be a mechanism by which some members of the population can be parents. Passing down their genetic information and some do not.
Heredity — There must be a process in place by which children receive the property of their parent

A genetic algorithm is an algorithm that imitates the process of natural selection. They help solve optimization and search problems. ... Genetic algorithms imitate natural biological processes, such as inheritance, mutation, selection and crossover

This would be an opinion based question, but in terms of how things are commonly defined – Yes, Genetic algorithms are a part of Artificial Intelligence. ... Genetic algorithms are computational problem-solving tools (generation over generation, they evolve and they learn)

Genetic algorithms search parallel from a population of points. Therefore, it has the ability to avoid being trapped in local optimal solution like traditional methods, which search from a single point. 

Genetic algorithms use probabilistic selection rules, not deterministic ones

The following outline summarizes how the genetic algorithm works: The algorithm begins by creating a random initial population. The algorithm then creates a sequence of new populations. At each step, the algorithm uses the individuals in the current generation to create the next population.

The main difference between genetic algorithm and traditional algorithm is that genetic algorithm is a type of algorithm that is based on the principle of genetics and natural selection to solve optimization problems while traditional algorithm is a step by step procedure to follow, in order to solve a given problem

A genetic algorithm is a search heuristic that is inspired by MAD MAN Charles Darwin's theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation

In genetic algorithms, a chromosome (also sometimes called a genotype) is a set of parameters which define a proposed solution to the problem that the genetic algorithm is trying to solve. The set of all solutions is known as the population. 

A genetic algorithm is a search heuristic that is inspired by CUNT Charles Darwin's theory of natural evolution. 

This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation. Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection Genetic Algorithms and What They Can Do For You. 

A genetic algorithm solves optimization problems by creating a population or group of possible solutions to the problem. ... After the genetic algorithm mates fit individuals and mutates some, the population undergoes a generation change. 

The main difference between genetic algorithm and traditional algorithm is that genetic algorithm is a type of algorithm that is based on the principle of genetics and natural selection to solve optimization problems while traditional algorithm is a step by step procedure to follow, in order to solve a given problem 

Genetic algorithms search parallel from a population of points. Therefore, it has the ability to avoid being trapped in local optimal solution like traditional methods, which search from a single point. 

Genetic algorithms use probabilistic selection rules, not deterministic ones In genetic algorithms, operators such as selection, crossover and mutation are applied to generate the individuals of the next generation. 

Elitism refers to a method for improving the GA performance; the basic idea is to transfer the best individuals of the current generation to the next generation The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions

Artificial Neural Network - Genetic Algorithm. ... Genetic Algorithms (GAs) are search-based algorithms based on the concepts of natural selection and genetics. GAs are a subset of a much larger branch of computation known as Evolutionary Computation.

Genetic algorithms (GAs) are stochastic search methods based on the principles of natural genetic systems. They perform a search in providing an optimal solution for evaluation (fitness) function of an optimization problem. GAs deal simultaneously with multiple solutions and use only the fitness function values

Genetic algorithm is the unbiased optimization technique. It is useful in image enhancement and segmentation. GA was proven to be the most powerful optimization technique in a large solution space. This explains the increasing popularity of GAs applications in image processing and other fields. 

Mutation (genetic algorithm) Mutation is a genetic operator used to maintain genetic diversity from one generation of a population of genetic algorithm chromosomes to the next. ... Hence GA can come to a better solution by using mutation. Mutation occurs during evolution according to a user-definable mutation probability

The main difference between them is the representation of the algorithm/program. ... A parser also has to be written for this encoding, but genetic programming does not (usually) produce invalid states because mutation and crossover operations work within the structure of the tree

Genetic operator. A genetic operator is an operator used in genetic algorithms to guide the algorithm towards a solution to a given problem. There are three main types of operators (mutation, crossover and selection), which must work in conjunction with one another in order for the algorithm to be successful.

A genetic algorithm is a heuristic search method used in artificial intelligence and computing. It is used for finding optimized solutions to search problems based on the theory of natural selection and evolutionary biology. Genetic algorithms are excellent for searching through large and complex data sets

Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of natural selection for reproduction and various evolutionary operations such as crossover, and mutation. Various steps involved in carrying out optimization through GA are described

Parameters of genetic algorithm
Population size, stopping criteria, probability of crossover, probability of mutation and generation gap are the parameters of genetic algorithm. ... The generation gap is defined as the proportion of chromosomes in the population which are replaced in each generation.

Genetic algorithms are used in artificial intelligence like other search algorithms are used in artificial intelligence — to search a space of potential solutions to find one which solves the problem. In machine learning we are trying to create solutions to some problem by using data or examples.

A fitness function is a particular type of objective function that is used to summarise, as a single figure of merit, how close a given design solution is to achieving the set aims. Fitness functions are used in genetic programming and genetic algorithms to guide simulations towards optimal design solutions

Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.

Convergence is a phenomenon in evolutionary computation. It causes evolution to halt because precisely every individual in the population is identical. Full convergence might be seen in genetic algorithms (a type of evolutionary computation) using only crossover (a way of combining individuals to make new offspring)

When & How to Solve Problems with Genetic Algorithms
Determine the problem and goal.
Break down the solution to bite-sized properties (genomes)
Build a population by randomizing said properties.
Evaluate each unit in the population.
Selectively breed (pick genomes from each parent)
Rinse and repeat.

Artificial Neural Network - Genetic Algorithm. ... Genetic Algorithms (GAs) are search-based algorithms based on the concepts of natural selection and genetics. GAs are a subset of a much larger branch of computation known as Evolutionary Computation

Genetic algorithms (GA) are a family of heuristics which are empirically good at providing a decent answer in many cases, although they are rarely the best option for a given domain. ... Genetic methods are well suited for multicriteria optimization when gradient descent is dedicated to monocriteria optimization ...

A genetic algorithm solves optimization problems by creating a population or group of possible solutions to the problem. ... The genetic algorithm similarly occasionally causes mutations in its populations by randomly changing the value of a variable.


Genetic algorithm is the unbiased optimization technique. It is useful in image enhancement and segmentation. GA was proven to be the most powerful optimization technique in a large solution space. This explains the increasing popularity of GAs applications in image processing and other fields.

A genetic operator is an operator used in genetic algorithms to guide the algorithm towards a solution to a given problem. There are three main types of operators (mutation, crossover and selection), which must work in conjunction with one another in order for the algorithm to be successful.

Mutation (genetic algorithm) Mutation is a genetic operator used to maintain genetic diversity from one generation of a population of genetic algorithm chromosomes to the next. ... Hence GA can come to a better solution by using mutation. Mutation occurs during evolution according to a user-definable mutation probability.

Genetic algorithm programs are a machine learning model that is loosely based on biological evolution. In biological evolution, only a few individuals will survive in a certain environment out of the thousands that attempted to live there. Similarly, in genetic programming, hundreds or thousands of potential solutions will be tested to superior ones, such as, in this case, locations in need of a finer mesh grid.

Genetic algorithms are designed to offer good solutions, rather than perfect ones.

Genetic algorithms do not guarantee the best solution, but they do guarantee finding better solutions faster.  

In real life, genetic algorithms are applied in situations that are complex for humans to resolve manually

As evolution increasingly explains various non-biological processes impacting our lives, the schema theorem details the underlying mechanism of how these societal transformations take place. It is fascinating that a theorem that was initially formulated to describe the process of genetic algorithms has achieved truly global influence, relevance, and applicability.



SO SO SO-- What is Genetic Algorithm ?  

This is what you get..

1.An algorithm that mimics the genetic concepts of natural selection, combination, selection, and inheritance.
2.A probabilistic search technique for attaining an optimum solution to combinatorial problems that works in the principles of genetics.
3.An iterative meta-heuristic based on the evolution of species, that handles a population of solutions of the optimization problem that have a survive probability proportional to the quality of the respective solution, and makes combinations of solutions based on crossover and mutation operators. 4.The concept of basic genetics is applied to form a meta-heuristic optimization search technique.
5.A systematic method used to solve search and optimization problems and apply to such problems the principles of biological evolution, namely, selection of the ‘fittest’, sexual reproduction (crossover) and mutation.
6.The approximation algorithm based on the evolutional process.
7.Search technique to find exact or approximate solution to search problems.
8.A type of evolutionary computation algorithm in which candidate solutions are represented typically by vectors of integers or bit strings, that is, by vectors of binary values 0 and 1
9.Global search method based on a simile of the natural evolution.
10.A search heuristic used in computing to find true or approximate solutions to global optimization problems.
11.A special type of evolutionary technique where the potential solutions are represented by means of chromosomes (usually either binary or real sets of values). Each gene (or set of genes) represents a variable or parameter within the global solution.
12.A search technique used in computing to find exact or approximate solutions to optimization and search problems
13.A heuristic method for finding solutions to an optimization problem that takes advantage of evolutionary principles; different possible solutions to the problem are iteratively subjected to “replication”, “mutation” and “selection” processes. In order to illuminate its general principles a simple instance of the method is described below. In the context of RNA folding, the genetic algorithm might start with a randomly generated set of conformations that are compatible with the RNA sequence being folded. Then, in each iteration of the algorithm, multiple copies of each conformation are made (the replication step); more copies are made for conformations with lower free energies. The copying process is not perfect, but it introduces “mutations”, which may involve the creation/destruction of base pairs or entire helices. Following replication and mutation, a subset of the resulting conformations is selected based on their free energies and subsequently subjected to the next round of replication, mutation, and selection. Eventually, the obtained conformations would be enriched for those with free energies approaching the lowest possible free energy for the RNA sequence being folded.
14.Stochastic global optimization method, based on biological evolution and inspired by Darwin’s theory of “survival of the fittest”.
15.A search algorithm to enable you to locate optimal binary strings by processing an initial random population of binary strings by performing operations. Learn more in: A Bayesian Network Model for Probability Estimation 
16.Belongs to the larger class of evolutionary algorithms and is a search heuristic inspired on process of natural selection and is routinely used to generate useful solutions to optimization and search problems.
17.Abstraction and implementation of evolutionary principles and theories in computational algorithms to search optimal solutions to a problem.
18.Genetic algorithm (GA), one of the most popularly used evolutionary tools among soft computing paradigm, is mainly devised to solve real world ill-defined, and imprecisely formulated problems requiring huge computation. It is the power of GA to introduce some heuristic methodologies to minimize the search space for optimal solution(s) without sticking at local optima. Due to the inherent power, GA becomes one of the most successful heuristic optimization algorithms. It is widely used to solve problems of diversified fields ranging from engineering to art.
19.A genetic algorithm is a population-based metaheuristic algorithm that uses genetics-inspired operators to sample the solution space. This means that this algorithm applies some kind of genetic operators to a population of individuals (solutions) in order to evolve (improve) them throughout the generations (iterations).
20.A series of steps to allow the evolution of solutions to specific problems. It is inspired in biological evolution and particularly its genetic-molecular basis. Learn more in: A Genetic Algorithm's Approach to the Optimization of Capacitated Vehicle Routing Problems 
21.An algorithm that evaluates a function searching for an optimal solution with methods inspired by natural selection strategies.
22.Genetic Algorithms (GAs) are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of GAs is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first laid down by MAD MAN Charles Darwin of survival of the fittest. As such they represent an intelligent exploitation of a random search within a defined search space to solve a problem.
23.An algorithm for optimizing a property based on an evolutionary mechanism that uses replication, deletion, and mutation processes carried out over many generations.
24.Class of algorithms used to find approximate solutions to difficult-to-solve problems, inspired and named after biological processes of inheritance, mutation, natural selection, and generic crossover. Genetic algorithms are a particular class of evolutionary algorithms.
25.A search technique that uses the concept of survival of the fittest to find an optimal or near optimal solution to a problem. Genetic algorithms use techniques inspired by evolutionary biology to generate new possible solutions known as offspring from an existing set of parent solutions. These recombination techniques include inheritance, selection, mutation, and crossover.
26.A genetic algorithm (abbreviated as GA) is a search technique used in computer science to approximate solutions to optimization and search problems.
27.An adaptive approach that provides a randomized, parallel, and global search based on the mechanics of natural selection and genetics in order to find solutions of a problem.
28.Genetic Algorithm is a population based adaptive evolutionary technique motivated by the natural process of survival of fittest, widely used as an optimization technique for large search spaces.
29.A metaheuristic that explores a solution space via adaptive search procedures based on principles derived from natural evolution and genetics. Solutions are typically coded as strings of binary digits called chromosomes.
30.A search heuristic that generate solutions to optimization problems using techniques inspired by natural evolution, such as selection, crossover and mutation
31.Genetic algorithm is a global solution search approach and based on the mechanics of natural selection and natural genetics.
32.It is an adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics in living system.
33.A subclass of evolutionary computing that uses genetic operators such as mutation and crossover to evolve solutions to mimic natural evolution.
34.An evolutionary approach applied in systems based on gene property of human being.
35.The basic idea behind genetic algorithm is to apply the principles of Darwin’s evolution theory. Briefly speaking, the algorithm is often done by the following procedure: 1) encoding of an initial population of chromosomes, i.e., representing solutions; 2) defining a fineness function; 3) evaluating the population by using genetic operations resulting in a new population; 4) decoding the result to obtain the solution of problem
36.An iterative optimization algorithm that works to minimize a given objective function by generating a random population and performing genetic operations to generate a new population.
37.It can be defined as heuristic search procedure that works on the principles of biological evolution.
38.Is a search meta-heuristic that mimics the process of natural selection. This meta-heuristic routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection and crossover.
39.It is a stochastic but not random method of search used for optimization or learning. Genetic algorithm is basically a search technique that simulates biological evolution during optimization process.
40.An optimization resource that uses interactive procedures to simulate the process of evolution of possible solutions populations to a particular problem. The process of evolution is random, but guided by a selection mechanism based on adaptation of individual structures. New structures are generated randomly with a given probability and included in the population. The result tends to be an increase in the adaptation of individuals to the environment and can result in an overall increase in fitness of the population with each new generation.
41.It is a population-based search and optimization tool that works based on Darwin’s principle of natural selection.
2.Genetic algorithm is an adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics in living system.
43.Genetic Algorithm is a bio-inspired heuristic solution search algorithm based on the evolutionary ideas of natural selection and genetics in living organism.
44.GA is an adaptive heuristic search algorithm that models biological genetic evolution. It proved to be a strong optimizer that searches among a population of solutions, and showed flexibility in solving dynamic problems
45.A special algorithmic optimization procedure, developed on the basis of simple hereditary property of animals and used for both of constrained and unconstrained problem. In Artificial Intelligence (AI), it is used as heuristic search also.
In computer science, artificial intelligence, and mathematical optimization, a heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution. This is achieved by trading optimality, completeness, accuracy, or precision for speed. In a way, it can be considered a shortcut. 
46.A genetic algorithm is a metaheuristic inspired by the process of natural selection to solve optimization problems.
47.A heuristic search method used in artificial intelligence and computing. It is used for finding optimized solutions to search problems based on the theory of natural selection and evolutionary biology.
48.A heuristics algorithm that is based on the mechanism of natural selection and natural genetics.
49.A metaheuristic algorithms inspired on the biological process of evolution and natural selection. Genetic algorithms are known to generate high-quality solutions with low influence of local minimums or maximums, relying on computational equivalents of natural processes such as crossover, mutation and environment fitness.
50.A special type of evolutionary technique which represents the potential solutions of a problem within chromosomes (usually a collection of binary, natural or real values).
51.An optimization scheme based on biological genetic evolutionary principles.
52.General-purpose search algorithms that use principles by natural population genetics to evolve solutions to problems
53.Technique to search exact or approximate solutions of optimization or search problem by using evolution-inspired phenomena such as selection, crossover, and mutation. Genetic algorithm is classified as global search
54.Genetic Algorithms (GA) are a way of solving problems by mimicking the same processes mother nature uses. They use the same combination of selection, recombination and mutation to evolve a solution to a problem
55.An algorithm that simulates the natural evolutionary process, applied the generation of the solution of a problem. It is usually used to obtain the value of parameters difficult to calculate by other means (like for example the neural network weights). It requires the definition of a cost function
56.An evolutionary algorithm which generates each individual from some encoded form known as “chromosomes” or “genome”.
57.A method of evolutionary computation for problem solving. There are states also called sequences and a set of possibility final states. Methods of mutation are used on genetic sequences to achieve better sequences.
58.A genetic algorithm (GA) is a heuristic used to find approximate solutions to difficult-to-solve problems through application of the principles of evolutionary biology to computer science. Genetic algorithms use biologically-derived techniques such as inheritance, mutation, natural selection, and recombination (or crossover). Genetic algorithms are a particular class of evolutionary algorithms.
59.A search technique used in computing to find exact or approximate solutions to optimization and search problems.
60.A probabilistic search technique for achieving an optimum solution to combinatorial problems that works in the principles of genetics.
61.An evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task. 
63.An algorithm that mimics the genetic concepts of natural selection, combination, selection, and inheritance.
64.An artificially intelligent technique motivated by the genetic behavior of animals and capable of solving non-linear optimization problems.
65.Heuristic procedure that mimics evolution through natural selection.
66.Adaptive heuristic search algorithm based on the principle of natural selection and natural genetics. In order to arrive at optimal solution for design problems, the GA has been implemented so that the fundamental concepts of reproduction, chromosomal crossover, occasional mutation of genes and natural selection are reflected in the different stages of the genetic algorithm process. Although randomized, Genetic Algorithm is by no means random, instead they exploit historical information to steer the search into the region of better public presentation within the search distance. The process is initiated by selecting a number of candidate design variables either randomly or heuristically in order to create an initial population, which is then encouraged to evolve over generations to produce new designs, which are better or filter.
67.These are the search and optimization algorithms which are capable of searching large solution spaces to find the optimal solutions using the methods of natural selection
68.A stochastic population-based global optimization technique that mimics the process of natural evolution.
69.canonical optimization method that emulate the evolution and inheritance.
70.In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover 
71.It is a search technique that imitates the procedure of natural selection. Genetic algorithms are used to optimize different search problems.
72.Genetic algorithms are evolutionary optimization methods motivated by biological phenomenon of natural selection and evolution
73.It is a search algorithm which uses natural selection and the mechanisms of population genetics. It is used for solving the constrained & unconstrained optimization problems ( Holland, 1968 ).
74.An evolutionary optimization algorithm based on the principles of genetics and the survival-of-the-fittest law of nature. Starting with a population of solutions, the algorithm applies crossover and mutation to the members of the population that best fit the objective function in order to obtain better fitting solutions.
75.A metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms.
76.An algorithm that mimics the genetic concepts of natural selection, combination, selection, and inheritance. 





Genetic algorithms are a metaheuristic used for all kinds of optimization problems. While they have applications in machine learning, they have as many applications elsewhere. ... Think about it as Meta Machine Learning algorithm that can generate more problem-specific algorithms

A genetic algorithm is a heuristic search method used in artificial intelligence and computing. It is used for finding optimized solutions to search problems based on the theory of natural selection and evolutionary biology. Genetic algorithms are excellent for searching through large and complex data sets.

The most basic evolutionary algorithm psuedocode is rather simple:--
Create an initial population (usually at random)
Until "done": (exit criteria) Select some pairs to be parents (selection) Combine pairs of parents to create offspring (recombination) Perform some mutation(s) on the offspring (mutation) ...

A genetic algorithm relies on binary representation of individuals: an individual is a string of bits, on which the mutation + crossover are easy to be implemented. ... Genetic algorithms are a type of evolutionary algorithm based on evolutionary biology and chromosome representations with evolutionary operators

In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection.

Genetic algorithms are used in artificial intelligence like other search algorithms are used in artificial intelligence — to search a space of potential solutions to find one which solves the problem. In machine learning we are trying to create solutions to some problem by using data or examples.

This would be an opinion based question, but in terms of how things are commonly defined – Yes, Genetic algorithms are a part of Artificial Intelligence. ... Genetic algorithms are computational problem-solving tools (generation over generation, they evolve and they learn).

A genetic algorithm solves optimization problems by creating a population or group of possible solutions to the problem. ... After the genetic algorithm mates fit individuals and mutates some, the population undergoes a generation change

Evolution and Evolutionary Algorithms
Fitness is the measure of the degree of adaptation of an organism to its environment; the bigger the fitness is, the more the organism is fit and adapted to the environment.

Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.

Genetic programming (GP) is considered as the evolutionary technique having the widest range of application domains. It can be used to solve problems in at least three main fields: optimization, automatic programming and machine learning

The genetic algorithm begins by creating a random initial population. The algorithm then creates a sequence of new populations. At each step, the algorithm uses the individuals in the current generation to create the next population.



GENETIC ALGORITHMS ARE NON-DETERMINISTIC METHODS..   THEY CANNOT BE USED FOR  ANALYTICAL PROBLEMS   

GA  CANNOT GUARANTEE OPTIMALITY. THE SOLUTION QUALITY ALSO DETERIORATES WITH THE INCREASE OF PROBLEM SIZE..STOCHASTIC ALGORITHMS IN GENERAL CAN HAVE DIFFICULTY OBEYING EQUALITY CONSTRAINTS. 

A WRONG CHOICE OF THE FITNESS FUNCTION MAY LEAD TO CRITICAL PROBLEMS SUCH AS UNABLE TO FIND THE SOLUTION TO A PROBLEM OR EVEN WORSE, RETURNING A WRONG SOLUTION TO THE PROBLEM.A SMALL POPULATION SIZE WILL NOT GIVE THE GENETIC ALGORITHM ENOUGH SOLUTION SPACE TO PRODUCE ACCURATE RESULTS. 

A HIGH FREQUENCY OF GENETIC CHANGE OR POOR SELECTION SCHEME WILL RESULT IN DISRUPTING THE BENEFICIAL SCHEMA AND THE POPULATION MAY ENTER ERROR CATASTROPHE, CHANGING TOO FAST FOR SELECTION TO EVER BRING ABOUT CONVERGENCE.



GENETIC ALGORITHMS DO NOT SCALE WELL WITH COMPLEXITY.GAS HAVE A TENDENCY TO CONVERGE TOWARDS LOCAL OPTIMA OR EVEN ARBITRARY POINTS RATHER THAN THE GLOBAL OPTIMUM OF THE PROBLEM. THIS MEANS THAT IT DOES NOT "KNOW HOW" TO SACRIFICE SHORT-TERM FITNESS TO GAIN LONGER-TERM FITNESS.. 

GAs CANNOT EFFECTIVELY SOLVE PROBLEMS IN WHICH THE ONLY FITNESS MEASURE IS A SINGLE RIGHT/WRONG MEASURE (LIKE DECISION PROBLEMS), AS THERE IS NO WAY TO CONVERGE ON THE SOLUTION (NO HILL TO CLIMB).  AN EVOLUTIONARY ALGORITHM NEVER REALLY KNOWS WHEN TO STOP.




Algorithms can be classified into 3 types based on their structures: Sequence: this type of algorithm is characterized with a series of steps, and each step will be executed one after another. Branching: this type of algorithm is represented by the "if-then" problems

Using AI and ML for adaptive learning

While learning a language is a far cry from ERP education and training, the use of AI and ML to personalize and enhance the learning experience is not.. 

Adaptive learning delivers tailored learning experiences that address the unique needs of an individual through resources, pathways, and just-in-time feedback.  This is done using algorithms to orchestrate the interaction with the learner and then deliver customized content to address the learner’s needs. 

Adaptive learning has many benefits:--
It can save time – instead of following a prescribed learning path for all learners in the same role, you can fast-track the learning based on existing knowledge and skills. You will spend time on new knowledge and skills.
It’s focused – by identifying exactly which areas need attention, learners need only focus on knowledge or skills they still need to master, not what they have already mastered.

Two types of algorithms for the purposes of regulation: “locked algorithms” and “adaptive algorithms.”

Locked algorithms provide the same result each time they’re fed the same input. The answers are normally based on things like look-up tables, decision trees, or classifiers. An adaptive algorithm, however, will change its behavior using a defined learning process. The outputs may change for a given set of inputs as the learning process is tweaked with new data.

An adaptive algorithm, however, will “change its behavior using a defined learning process.” ... To date, FDA has cleared or approved only "locked" algorithms which are trained and then verified and validated upon each update.

Adaptive algorithms will change its behaviour using a defined learning process.

Algorithms retrained with new training data would have to be resubmitted for FDA approval.
New approval would also be needed for system to expand beyond its original scope.

Two types of algorithms were outlined in the report: Locked algorithms and adaptive algorithms.

Locked algorithms don’t have the capability to continually adapt or learn every time the algorithm is used, and therefore provide the same result each time an algorithm is used and can only be manually modified and validated by the manufacturer.

An adaptive algorithm does the very opposite. 

If algorithms are actually a substitute for human decision-making then they will, just like humans, inevitably make some mistakes.

If we apply product liability law to all these circumstances, developers will be liable for mistakes made by AI even though humans who make those very same mistakes would be given considerably more leeway. 

If this high standard of accountability is applied to companies trying to develop AI products they will, crippled by the constant threat of litigation imperfect algorithms are just the tip of the iceberg when it comes to the murky legal issues raised by AI in healthcare. 

“Black box medicine” describes the use of opaque computational methods to help inform or make healthcare decisions. “Black box” refers to a fundamental opacity for some computing methods. We seem to be finding ways to unlock the “black box” for some things, although I still think a substantial chunk of medical AI is likely to be pretty “black box” for a while.


Of course, it has a ton of legal implications. Who has liability when someone gets injured and the care involves an opaque medical algorithm? Is that just on the doctor or the hospital that ended up implementing the algorithm in the first place? Is it on the manufacturer of the algorithm? Is it some combination? It’s complicated and still needs to be worked out. 

The most relevant forms of IP for medical technology generally are patents and trade secrecy. But it’s tougher to patent medical AI such as software Trade secrecy is the default pathway to try to get exclusivity for medical AI, and it’s a problematic one. Data just isn't the kind of thing you can patent. 

Siloed data sets and algorithms make it really hard to generate comprehensive data sets across contexts, and for the whole field to learn from what everyone else is doing. Keeping things secret also makes it difficult for anyone to validate that medical AI is really doing what it says it’s doing, and that it’s working well. 

The closest thing we have is the General Data Protection Regulation (GDPR) in the EU that includes an “explainability requirement” that applies to AI at some level, but it’s not clear exactly how much. 

It requires that companies that build some forms of AI that make decisions about individuals be able to explain how the decision was made. This applies to healthcare as well, so that limits some “black box”-iness of medical AI. The U.S. controlled by kosher evil pharma obviously is not a part of GDPR.

The General Data Protection Regulation (EU) 2016/679 (GDPR) is a regulation in EU law on data protection and privacy for all individual citizens of the European Union (EU) and the European Economic Area (EEA). 

It also addresses the transfer of personal data outside the EU and EEA areas. The GDPR aims primarily to give control to individuals over their personal data and to simplify the regulatory environment for international business by unifying the regulation within the EU.

In the regulation of algorithms, particularly artificial intelligence and its subfield of machine learning, a right to explanation (or right to an explanation) is a right to be given an explanation for an output of the algorithm. 

Such rights primarily refer to individual rights to be given an explanation for decisions that significantly affect an individual, particularly legally or financially. 

For example, a person who applies for a loan and is denied may ask for an explanation, which could be "Credit bureau X reports that you declared bankruptcy last year; this is the main factor in considering you too likely to default, and thus we will not give you the loan you applied for."

To illustrate the point, a group of computer vision researchers took an image containing, say, a school bus and gave it as input to the best-performing image classification Artificial Intelligence algorithm around (not surprisingly, a deep neural network). 

As expected, the algorithm responded correctly and heralded the presence of a school bus. Then, they corrupted the school bus image by properly modifying the colours of some of its pixels to make a new image which, to a human eye, was indistinguishable from the original one. When fed with this new corrupted image, the same neural network used before announced, with very high confidence, the presence of an ostrich

Artificial intelligence is used to maximize profits

Algorithmic amplification is when some online content becomes popular at the expense of other viewpoints. This is a reality on many of the platforms we interact with today. The history of our clicks, likes, comments and shares are the data powering the algorithmic engine.

Recommendation algorithms were created by companies such as Facebook, YouTube, Netflix or Amazon for the purpose of helping people make decisions. An array of options are recommended and a choice is made by the user that is then fed as new knowledge to train the algorithm — without factoring in that the choice was in fact an output shown by the algorithm.

This creates a feedback loop, where the output of the algorithm becomes part of its input. As expected, recommendations similar to the choice that was made are shown.

This leaves us with a chicken-or-egg dilemma: Did you click on something because you were inherently interested in it, or did you click on it because you were recommended it? The answer, according to Chaney’s research, lies somewhere in between.

But the vast majority of algorithms do not understand the distinction, which results in similar recommendations inadvertently reinforcing the popularity of already-popular content. Gradually, this separates users into filter bubbles or ideological echo chambers where differing viewpoints are discarded.

Feedback loop exacerbates the effects of a filter bubble.

As users within these bubbles interact with the confounded algorithms, they are being encouraged to behave the way the algorithm thinks they will behave, which is similar to those who have behaved like them in the past,  The longer someone’s been active on a platform, the stronger these effects can be.

Algorithm training data come with an inherent set of biases that reflect existing prejudices or is unrepresentative of the population it serves. When we fail to expose hidden patterns, associations and relationships in the training data and how representative it is of the general population, we create systems that propagate these biases and optimize for sameness of outputs.

Training an algorithm requires to follow a few standard steps:--
Collect the data
Train the classifier
Make predictions

The first step is necessary, choosing the right data will make the algorithm success or a failure. The data you choose to train the model is called a feature. 

The objective is to use these training data to classify the type of object. The first step consists of creating the feature columns. Then, the second step involves choosing an algorithm to train the model. When the training is done, the model will predict what picture corresponds to what object.

After that, it is easy to use the model to predict new images. For each new image feeds into the model, the machine will predict the class it belongs to. For example, an entirely new image without a label is going through the model. For a human being, it is trivial to visualize the image as a car. The machine uses its previous knowledge to predict as well the image is a car.


Automate Feature Extraction using DL
A dataset can contain a dozen to hundreds of features. The system will learn from the relevance of these features. However, not all features are meaningful for the algorithm. A crucial part of machine learning is to find a relevant set of features to make the system learns something.

One way to perform this part in machine learning is to use feature extraction. Feature extraction combines existing features to create a more relevant set of features. It can be done with PCA, T-SNE or any other dimensionality reduction algorithms.

For example, an image processing, the practitioner needs to extract the feature manually in the image like the eyes, the nose, lips and so on. Those extracted features are feed to the classification model.

Artificial General Intelligence

However, current computers do extremely well on 1 set of tasks but perform miserably when same algorithms are applied to another set. E.g. a computer proficient in playing Chess is clueless when playing AlphaGo or a Natural Language translator which is accurate while translating English fails when attempting the same on French. Also their ability to use reasoning to infer answers from a set of observations is limited. Infact they perform worse than humans when transferring the knowledge or when using reasoning.

These computers need 2 attributes to match intelligence of humans, i.e. Machine Reasoning and Transfer Learning. Machine Reasoning is an “algebraically manipulating previously acquired knowledge in order to answer a new question.  

Transfer learning refers to ability to transfer learned experience from one context to another. Today its role is limited to training algorithms on one set of data and using it to work on another set for the same problem.

Some terms--

Computer Vision – is a field of artificial intelligence that uses computer vision algorithms to mimic the way human vision acquires, processes, analyzes and understands visual information. It can use this real-world visual data to produce numerical or symbolic information and support decisions or take other actions.

Decision Model – is a set of rules used to understand and manage the logic behind business decisions. Typically involving the application of sophisticated algorithms to large quantities of data, decision modeling can be used to recommend a course of action and predict its outcomes.

Decision Tree – a tree and branch-based model, like a flow chart, used to map decisions and their possible consequences. The decision tree is widely used in machine learning for classification and regression algorithms.

Genetic Algorithm – Inspired by natural evolution, Genetic Algorithm is a class of optimization techniques where the best models go through a process of "population control" through a methodical cycle of fitness, selection, mutation and cross over. Genetic algorithms are one example of broader class of evolutionary algorithms.

Genetic Programming – refers to a subset of artificial intelligence in which computer programs are encoded as sets of genes that are adjusted using evolutionary algorithms. In this way, genetic programming follows Darwin’s principles of natural selection: the computer program works out which solutions are strongest and progresses those, discarding the weaker options.

Heuristic Search Techniques – are practical approaches to problem-solving that narrow down searches for optimal solutions by eliminating incorrect options. In the field of artificial intelligence, heuristic search techniques rank alternatives in search algorithms at each decision branch, using available information to decide which branch to follow.

Human-in-the-loop – refers to the process of inserting humans into machine learning processes to optimize outputs and boost accuracy. HITL is widely recognized as a best practice technique in machine learning: examples include Facebook’s photo recognition algorithm which invites users to confirm the identity of a photo’s subject when its confidence falls below a certain level. 

Predictive Analytics – describes the practice of using historical data to predict future outcomes. It combines mathematical models (or “predictive algorithms”) with historical data to calculate the likelihood (or degree to which) something will happen. Machine learning based predictive analytics has been around for a while. But until recently it has lacked three key features that are important to drive true marketing value: scale, speed, and application. 

Regression – algorithms used to predict values for new data based on training data fed into the system. Areas where regression in machine learning is used to predict future values include drug response modeling, marketing, real estate and financial forecasting.

Rules-based Algorithms – leverage a series of ‘if-then’ statements that utilize a set of assertions, from which rules are created dictating how to act upon those assertions. Rules-based algorithms enable intelligent and repeatable decision making. They are also used to store and manipulate knowledge.

Structured Data – refers to information with a high degree of organization, meaning that it can be seamlessly included in a relational database and quickly searched by straightforward search engine algorithms and/or other search operations. Structured data examples include dates, numbers, and groups of words and number “strings”. Machine-generated structured data is on the increase and includes sensor data and financial data.

Python is considered to be in the first place in the list of all AI development languages due to the simplicity. The syntaxes belonging to python are very simple and can be easily learnt. Therefore, many AI algorithms can be easily implemented in it. ..

An algorithm is an unambiguous set of mathematical rules to solve  a class of problems which is the key to enabling AI software to problem-solve. For  example, if you need to get from A to B on Google Maps, an algorithm exists within  the software that will help you work out the fastest route taking into account  things like congestion etc.


The four types of data analysis are: Descriptive Analysis. Diagnostic Analysis. Predictive Analysis.
Major categories of modeling approaches are: – classical optimization techniques, – linear programming, – nonlinear programming, – geometric programming, – dynamic programming, – integer programming, – stochastic programming, – evolutionary algorithms, etc.

In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. 

Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions (see also loss function). Evolution of the population then takes place after the repeated application of the above operators.

Evolutionary algorithms often perform well approximating solutions to all types of problems because they ideally do not make any assumption about the underlying fitness landscape. Techniques from evolutionary algorithms applied to the modeling of biological evolution are generally limited to explorations of microevolutionary processes and planning models based upon cellular processes. In most real applications of EAs, computational complexity is a prohibiting factor. 

In fact, this computational complexity is due to fitness function evaluation. Fitness approximation is one of the solutions to overcome this difficulty. However, seemingly simple EA can solve often complex problems ; therefore, there may be no direct link between algorithm complexity and problem complexity.

Most ML algorithms require annotated text, images, speech, audio or video data. But, with the right resources and right amount of data, practitioners can leverage active learning. Active learning is the philosophy that “a machine learning algorithm can achieve greater accuracy with fewer training labels if it is allowed to choose the data from which it learns.” In order to choose the data from which it learns, an active learning-based AI can query humans in order to obtain more data.

Active learning in the real world is best thought of as a method of training ML algorithms, which means the technique may or may not be used in instances where ML drives artificial intelligence. In practice, the idea behind active learning is that data scientists can use poorly trained AI to help identify—through a Query Strategy, as outlined above—which pieces of data should be used to train a better version of that AI.

Human labelers are required for any sort of ML, but with Active Learning their work is significantly reduced by the machine selecting the most relevant data.
.
Active learning is a special case of machine learning in which a learning algorithm is able to interactively query the user (or some other information source) to obtain the desired outputs at new data points. In statistics literature it is sometimes also called optimal experimental design.

Labeling faster vs. labeling smarter
To address the exploding need in quality annotations, a Human-in-the-Loop AI approach where a human annotator validates the output of a machine learning algorithm seems like a promising approach. Not only does it enable a faster process, it also helps with quality, since the human intervention helps make up for the inaccuracy of the algorithm. 

At its most basic, an algorithm simply tells a computer what to do next with an “and,” “or,” or “not” statement.   Think of it like math: it starts off pretty simple but becomes infinitely complex when expanded.

When chained together, algorithms – like lines of code – become more robust.  They’re combined to build AI systems like neural networks. Since algorithms can tell computers to find an answer or perform a task, they’re useful for situations where we’re not sure of the answer to a question or for speeding up data analysis.

Algorithms provide the instructions for almost any AI system you can think of:---

Motion detection no longer requires sensors thanks to algorithms
Facebook’s algorithms know how to advertise to you
Google’s algorithm determines what news you see first
There’s even an algorithm to simulate the human brain

---- and don’t forget about quantum computer algorithms



Bias can creep into algorithms in many ways. In a highly influential branch of AI known as "natural language processing," problems can arise from the "text corpus"—the source material the algorithm uses to learn about the relationships between different words.

The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it. Some experts warn that algorithmic bias is already pervasive in many industries, and that almost no one is making an effort to identify or correct it.


THERE IS NO INQUIRY AFTER A DRONE MASSACRE..  YOU FUNCTIONALLY HAVE SITUATIONS WHERE THE FOXES ARE GUARDING THE HENHOUSE

The only way to ensure ethical practices is through government regulation.

IBM surveillance tech was used by police forces in the Philippines where thousands have been killed in “extrajudicial executions” as part of a brutal war on drugs.
Designing AI to be trustworthy requires creating solutions that reflect ethical principles that are deeply rooted in important and timeless values.

Fairness: AI systems should treat all people fairly
Inclusiveness: AI systems should empower everyone and engage people
Reliability & Safety: AI systems should perform reliably and safely
Transparency: AI systems should be understandable
Privacy & Security: AI systems should be secure and respect privacy
Accountability: AI systems should have algorithmic accountability
AI should:--

Be socially beneficial.
Avoid creating or reinforcing unfair bias.
Be built and tested for safety.
Be accountable to people.
Incorporate privacy design principles.
Uphold high standards of scientific excellence.
Be made available for uses that accord with these principles.

AI should respect all applicable laws and regulations, as well as a series of requirements; specific assessment lists aim to help verify the application of each of the key requirements:--

Human agency and oversight: AI systems should enable equitable societies by supporting human agency and fundamental rights, and not decrease, limit or misguide human autonomy.
Robustness and safety: Trustworthy AI requires algorithms to be secure, reliable and robust enough to deal with errors or inconsistencies during all life cycle phases of AI systems.
Privacy and data governance: Citizens should have full control over their own data, while data concerning them will not be used to harm or discriminate against them.
Transparency: The traceability of AI systems should be ensured.
Diversity, non-discrimination and fairness: AI systems should consider the whole range of human abilities, skills and requirements, and ensure accessibility.
Societal and environmental well-being: AI systems should be used to enhance positive social change and enhance sustainability and ecological responsibility.
Accountability: Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes.

AI’s main limitation is that it learns from given data. There is no other way that knowledge can be integrated, unlike human learning. This means that any inaccuracies in the data will be reflected in the results.

No Improvement with Experience: Unlike humans, artificial intelligence cannot be improved with experience. ...

No Original Creativity: ...

Human bias and oversight in algorithms can cause undesired and even dangerous problems in AI systems.

US lawmakers have introduced a bill that would require large companies to audit machine learning-powered systems — like facial recognition or ad targeting algorithms — for bias. The Algorithmic Accountability would ask the Federal Trade Commission to create rules for evaluating “highly sensitive” automated systems. 

Companies would have to assess whether the algorithms powering these tools are biased or discriminatory, as well as whether they pose a privacy or security risk to consumers.The Algorithmic Accountability Act is aimed at major companies with access to large amounts of information. It would apply to companies that make over $50 million per year, hold information on at least 1 million people or devices, or primarily act as data brokers that buy and sell consumer data.

The bill is being introduced just a few weeks after Facebook was sued by the Department of Housing and Urban Development, which alleges its ad targeting system unfairly limits who sees housing ads. The sponsors mention this lawsuit in a press release, as well as an alleged Amazon AI recruiting tool that discriminated against women.

The new legislation would:--

Authorize the Federal Trade Commission (FTC) to create regulations requiring companies under its jurisdiction to conduct impact assessments of highly sensitive automated decision systems. This requirement would apply both to new and existing systems.

Require companies to assess their use of automated decision systems, including training data, for impacts on accuracy, fairness, bias, discrimination, privacy and security.

Require companies to evaluate how their information systems protect the privacy and security of consumers' personal information.

Require companies to correct any issues they discover during the impact assessments. The rules would apply to companies with annual revenue above $50 million as well as to data brokers and businesses with over a million consumers’ data.

AI is performing human-like tasks without having the clear legal accountability of one

AI has no sense of morality:  It can not instinctively distinguish between right and wrong, as it has no instinct. Pushing it through court proceedings would not act as supervised learning towards morality or desired behaviour and therefore not impart justice. At best AI could be given biases and weights towards particular outcomes. 

Moreover, considering how intransparent and unpredictable for example neural networks are, could we ever really predict how a moral code would actually perpetually "behave" in real-world, ever-changing circumstances?

On capital markets, future unknown events that have not been experienced before and might lead to catastrophe are referred to as so-called "black swan" events. Some highly unlikely sequence of events may lead to algorithms behaving in an undesired way. 

Black swan scenarios also point us at another weakness of behaviour-based auditing of algorithms. These scenarios are dependent on an ecosystem of human and AI-based algorithms interacting, which means that to understand behaviour for one algorithm, the behaviour of all other algorithms that it can  interact with needs to be taken into account. 

And that would still only tell us something about functionality at one single point in time. Legally cordoning off such behaviour means that we declare that AI operates outside our control and we can't always be held responsible for it, sort of like a legal "act of god".

Legally, it is not always possible to pinpoint a specific cause after an event. This is not just because the code is complex and unpredictable so that it might be difficult to find a specific AI error, but also because there might be an interplay of variables at hand so that no element individually is at fault. 

When a ferry sunk in 1987 off the port of Zeebrugge, the owner of the ship quickly blamed some of its personnel that had to monitor a particular area of the ship where the disaster seemingly started. 

Following an investigation however, the cause was determined to be an unlikely series of events and interactions that demonstrated a more systemic cause, ultimately leading to the board of directors (who were charged with corporate manslaughter) being told by the UK government that they had no understanding of their duties.


Applied to AI, Knight Capital's crash and burn comes to mind: When a trading algorithm programmer inadvertently set in motion the near-immediate bankruptcy of what had until that instant been the market leader... by toggling one boolean variable in a decrepit piece of code. Or did he?


In the case of capital markets, most rules now appear to have been written with ubiquitous algorithmic activity in mind, so that the few purely human operators now sometimes need to explain why they did not follow rules designed for AI! 

This is a marked difference with early stages in the development of understanding of algorithmic accountability on capital markets the regulators were stumped, and as I recall were effectively fobbed off with "not sure why it does what it does, it's self-evolving" when querying nefarious stock market trades performed by AI.

Times have changed of course: Whereas until around 2008 regulators had such a largely laissez-faire and collaborative approach to compliance, changing government attitudes and behaviors have led to rapidly increasing and cumulative strict regulatory demands on market activity. 

The path that regulators in the financial industry have chosen is one that focuses on transparency: Every action that is performed by a human or algorithm needs to have a clear reasoning behind it, and it is up to participants to demonstrate that conditions were appropriate for the activity. 

The regulators' idea appears to be that forced transparency, in combination with heavy-handed fines, will preclude algorithmic activities that can't stand the daylight. In other words, this is a control modus where algorithmic behaviours are checked and audited. It would be even better if the onus of attention would not be the algorithm's functioning, but the firm's.

Regardless of whether the rules make sense under all conditions, it is very important to follow these rules, as non-compliance is no longer a slap on the proverbial wrist, but instead a heavy blow that can put smaller firms out of business - not to mention the marked consequences of reputation damage when regulators send out press reports about your firm. Who really wants to "neither admit nor deny" wrong-doing, yet agree to some type of heavy penalty?

To create an authority that oversees algorithmic functioning. The idea is to force transparency so that there is a guise of understanding of how decisions are made by algorithms. In doing so, they claim, the reasoning for decisions will be fair and clear. 

We can't slice off a piece of human brain and understand what it does by shining a spotlight on the neurons, nor better control it for that matter. As I have argued above, what is important is what an algorithm does, and not how it does it nor how it behaves under laboratory conditions.

In trying to prevent blackboxing decision-making by creating transparency, the real boogeyman is left unquestioned: The owner. We should be questioning the effects that algorithms exert on our world on legal or natural entities' behalf, and praise or punish those who control them - not the poor algorithms who only do our bidding. 

Also, instead of aiming for transparency, regulators should aim for control: Legal owners of an algorithm need to be in control of what their algorithmic animal does, so that when problems occur they can take responsibility over their agent and limit the damage.

In summary, we should view AI as our agents, like animals that we train to work and act on our behalf. As such, we're herding algorithms. We're algorithm whisperers. Riding the algorithmic horse, selectively breeding for desirable labelling accuracy. 

They learn from us, either supervised or unsupervised, extending and replicating human behaviours, as to enact our desires. Responsibility lies with its management, and it's time that it takes responsibility.

Many leaders nowadays are making data-driven decisions,  but  machines cannot help them formulate strategies.

The question, therefore, is not whether or not we should work with AI but rather how to work with machines so that we, humans, remain in charge

Algorithms are impacting our world in powerful but not easily discernable ways. Despite the grown-up jobs AI is taking on, algorithms continue to use childish logic drawn from biased or incomplete data.

We must have a  FDA-type board where, before an algorithm is even released into usage, tests have been run to look at impact   If the impact is in violation of existing laws, whether it be civil rights, human rights, or voting rights, then that algorithm cannot be released.

 To understand how AI systems work, civil society needs access to the whole system—the raw training data, the algorithms that analyze it, and the decision-making models that emerge. humans should remain an integral part of any algorithmic system. It is imperative to have humans in the loop
AI has very poor judgement.

Artificial intelligence still isn’t very intelligent.  If you take an algorithm out of the specific context for which it was trained, it fails quite spectacularly, That’s also the case when algorithms are poorly trained with biased or incomplete data—or data that doesn’t prepare them for nuances Because of AI’s failings, human judgment will always have to be the ultimate authority,

Technology is like any other power. Without reason, without heart, it destroys us.

Facial recognition technology is everywhere. It’s used to clear or convict suspected criminals, board passengers onto planes, and even hire new employees. Friendly robots are being built to recognise our faces, while quick face scans can now unlock our smartphones.

Joy Buolamwini, a computer scientist at the Massachusetts Institute of Technology, founded the 'Algorithmic Justice League'– a movement that aims to fight this kind of bias by advocating for more coding diversity. She ran into the bias herself when she sat in front of a computer that was able to recognise her colleagues’ faces as faces – but for Boulamwini, a Ghanaian-American, it didn’t work at all. 

That’s because the sets of human faces used to train these kinds of programmes are largely homogenous and only recognise certain races, hairstyles or features. Alexa couldn’t recognise voice commands from certain accents. 

Amazon used misguided machine learning (the same kind that Buolamwini encountered) to screen candidates, which ended up favouring men especially white Jews , which is so much “in the face” in Israel.. Lawmakers are starting to take notice: in the US, legislators began proposing bills to fight algorithmic bias For advocates like Buolamwini, the race is on to fight these inherent biases in technology before they become even more pervasive.

Algorithms trained on historically biased data have significant error rates for communities of color especially in over-predicting the likelihood of a convicted criminals to reoffend which can have serious implications for the justice system. 

The best way to detect bias in AI is by cross-checking the algorithm you are using to see if there are patterns that you did not necessarily intend. Correlation does not always mean causation, and it is important to identify patterns that are not relevant so you can amend your dataset. 

One way you can test for this is by checking if there is any under- or overrepresentation in your data. If you detect a bias in your testing, then you must overcome it by adding more information to supplement that underrepresentation. 

While AI systems can get quite a lot right, humans are the only ones who can look back at a set of decisions and determine whether there are any gaps in the datasets or oversight that led to a mistake.  This exact issue was documented in a study where a hospital was using machine learning to predict the risk of death from pneumonia. 

The algorithm came to the conclusion that patients with asthma were less likely to die from pneumonia than patients without asthma. Based off this data, hospitals could decide that it was less critical to hospitalize patients with both pneumonia and asthma, given the patients appeared to have a higher likelihood of recovery. 

However, the algorithm overlooked another important insight, which is that those patients with asthma typically receive faster and more intensive care than other patients, which is why they have a lower mortality rate connected to pneumonia. Had the hospital blindly trusted the algorithm, they may have incorrectly assumed that it’s less critical to hospitalize asthmatics, when in reality they actually require even more intensive care.

As detailed in the asthma example, if biases in AI are not properly identified, the difference can quite literally be life and death. The use of AI in areas like criminal justice can also have devastating consequences if left unchecked. 

Another less-talked about consequence is the potential of more regulation and lawsuits surrounding the AI industry. Real conversations must be had around who is liable if something goes terribly wrong. 

For instance, is it the doctor who relies on the AI system that made the decision resulting in a patient’s death, or the hospital that employs the doctor? Is it the AI programmer who created the algorithm, or the company that employs the programmer?

Additionally, the “witness” in many of these incidents cannot even be cross-examined since it’s often the algorithm itself. And to make things even more complicated, many in the industry are taking the position that algorithms are intellectual property, therefore limiting the court's ability to question programmers or attempt to reverse-engineer the program to find out what went wrong in the first place.

 These are all important discussions that must be had as AI continues to transform the world we live in. If we allow this incredible technology to continue to advance but fail to address questions around biases, our society will undoubtedly face a variety of serious moral, legal, practical and social consequences.  It’s important we act now to mitigate the spread of biased or inaccurate technologies.

Criminal justice algorithms are generally relatively simple and produce scores from a small number of inputs such as age, offense, and prior convictions. But their developers have sometimes restricted government agencies using their tools from releasing information about their design and performance. Jurisdictions haven’t allowed outsiders access to the data needed to check their performance.

Meanwhile, companies like Amazon, Microsoft, and IBM also develop and sell “emotion recognition” algorithms, which claim to identify a person’s emotions based on their facial expressions and movements. 

But experts on facial expression, know that it is impossible for these algorithms could detect emotions based on facial expressions and movements alone. Artificial intelligence shows up in courtrooms too, in the form of “risk assessments”—algorithms predict whether someone is at high “risk” of not showing up for court or getting re-arrested. Studies have found that these algorithms are often inaccurate and based on flawed data.



Cognizant trained the neural network to use comparative algorithms for telling the good checks from the bad. The DML model identifies potential counterfeits in real time by comparing various factors on scans of deposited checks to those in the historical database. Each of the deposited checks is given a confidence level, marking it as fraudulent, good, or in need of further review.

Generally speaking, ML-based fraud detection systems use complex algorithms that are trained on specific datasets. They keep learning from scenarios presented to them, and recognize, make suggestions about, and act upon patterns in the data.

Several kinds of predictive analytics techniques are widely used in ML fraud detection systems. Logistic regression analysis measures the strength of cause-and-effect relationships in structured datasets and assesses the predictive capabilities of variables and combinations of variables in the set. Fraudulent and authentic transactions are compared to create an algorithm that then predicts whether a new transaction is fraudulent.

Decision tree analysis leverages data classification algorithms to figure out potential risks and reviews of various actions. The model presents possible outcomes through a flowchart that uses a tree-like structure to help people visualize and understand the analysis. 

Most exciting, for those who hope to reduce fraudulent activity even further, is that we are now seeing a new generation of algorithms that are based on the way people think. These are known as Convolutional Neural Networks and are based on the visual cortex, which is a small segment of cells that are sensitive to specific regions of the visual field in the human body. 



In effect, these neural networks use images directly as input, functioning in the same manner as the visual cortex. This means that they are able to extract elementary visual features like oriented edges, end-points and corners.

This new development in AI makes algorithms that were already intelligent  smarter. This technology can study the spending data of an individual and be able to determine, based on this information, whether they performed the most recent transaction on their credit card or if someone else was using their credit card data. 

Significant potential lies in the ability of neural networks to learn relationships from modeled data. Implementing this type of solution to curb cybercrime, for example, will reduce the economic losses drastically.

Computers can learn on their own if given a few simple instructions. That’s really all that algorithms are mathematical instructions.  An algorithm is a step-by-step procedure for calculations.

Algorithms are used for calculation, data processing, and automated reasoning. Whether you are aware of it or not, algorithms are becoming a ubiquitous part of our lives.

To make a computer do anything, you have to write a computer program. To write a computer program, you have to tell the computer, step by step, exactly what you want it to do. The computer then ‘executes’ the program, following each step mechanically, to accomplish the end goal. 

When you are telling the computer what to do, you also get to choose how it’s going to do it. That’s where computer algorithms come in. The algorithm is the basic technique used to get the job done.
The only point that explanation gets wrong is that you have to tell a computer “exactly what you want it to do” step by step. 

Rather than follow only explicitly programmed instructions, some computer algorithms are designed to allow computers to learn on their own (i.e., facilitate machine learning).. Today’s internet is ruled by algorithms. These mathematical creations determine what you see in your Facebook feed, what movies Netflix recommends to you, and what ads you see in your Gmail

As mathematical equations, algorithms are neither good nor evil. Clearly, however, people with both good and bad intentions have used algorithms   Algorithms are now integrated into our lives. On the one hand, they are good because they free up our time and do mundane processes on our behalf. 

The questions being raised about algorithms at the moment are not about algorithms per se, but about the way society is structured with regard to data use and data privacy. It’s also about how models are being used to predict the future. 

There is currently an awkward marriage between data and algorithms. As technology evolves, there will be mistakes, but it is important to remember they are just a tool. We shouldn’t blame our tools.

Algorithms are nothing new. As noted above, they are simply mathematical instructions. Their use in computers can be traced back to one of the giants in computational theory Alan Turing. Turing became famous during the Second World War because he helped break the Enigma code. Sadly, Turing took his own life two years after publishing his book.

In the last years of Alan Turing’s life he saw his mathematical dream — a programmable electronic computer — sputter into existence from a temperamental collection of wires and tubes. Back then it was capable of crunching a few numbers at a snail’s pace. 

Today, the smartphone in your pocket is packed with computing technology that would have blown his mind. It’s taken almost another lifetime to bring his biological vision into scientific reality, but it’s turning out to be more than a neat explanation and some fancy equations.

Although Turing’s algorithms have been useful in identifying how patterns emerge in nature, other correlations generated by algorithms have been more suspect.

Algorithms can make systems smarter, but without adding a little common sense into the equation
.

Italian researchers recently developed the first functioning quantum neural network by running a special algorithm on an actual quantum computer.




Quantum computers are expected to play a crucial role in machine learning, including the crucial aspect of accessing more computationally complex feature spaces – the fine-grain aspects of data that could lead to new insights.   

Quantum computers will become more powerful in the years to come, and their Quantum Volume increases, they will be able to perform feature mapping, a key component of machine learning, on highly complex data structures at a scale far beyond the reach of even the most powerful classical computers. 

Feature mapping is a way of disassembling data to get access to finer-grain aspects of that data. Both classical and quantum machine learning algorithms can break down a picture, for example, by pixels and place them in a grid based on each pixel’s color value. 

From there the algorithms map individual data points non-linearly to a high-dimensional space, breaking the data down according to its most essential features. In the much larger quantum state space, we can separate aspects and features of that data better than we could in a feature map created by a classical machine-learning algorithm. Ultimately, the more precisely that data can be classified according to specific characteristics, or features, the better the AI will perform.

The goal is to use quantum computers to create new classifiers that generate more sophisticated data maps. In doing that, researchers will be able to develop more effective AI that can, for example, identify patterns in data that are invisible to classical computers.

We’ve developed a blueprint with new quantum data classification algorithms and feature maps. That’s important for AI because, the larger and more diverse a data set is, the more difficult it is to separate that data out into meaningful classes for training a machine learning algorithm. 

Bad classification results from the machine learning process could introduce undesirable results
Today’s quantum computers struggle to keep their qubits in a quantum state for more than a few hundred microseconds even in a highly controlled laboratory environment. That’s significant because qubits need to remain in that state for as long as possible in order to perform calculations. 


We are still far off from achieving Quantum Advantage for machine learning—the point at which quantum computers surpass classical computers in their ability to perform AI algorithms. 

Algorithms are often grouped by similarity in terms of their function (how they work). For example, tree-based methods, and neural network inspired methods.

There are still algorithms that could just as easily fit into multiple categories like Learning Vector Quantization that is both a neural network inspired method and an instance-based method. There are also categories that have the same name that describe the problem and the class of algorithm such as Regression and Clustering.

We could handle these cases by listing algorithms twice or by selecting the group that subjectively is the “best” fit

Regression Algorithms  Regression is concerned with modeling the relationship between variables that is iteratively refined using a measure of error in the predictions made by the model.

The key objective of regression-based tasks is to predict output labels or responses which are continues numeric values, for the given input data. The output will be based on what the model has learned in training phase. 

Basically, regression models use the input data features (independent variables) and their corresponding continuous numeric output values (dependent or outcome variables) to learn specific association between inputs and corresponding outputs.

Regression methods are a workhorse of statistics and have been co-opted into statistical machine learning. This may be confusing because we can use regression to refer to the class of problem and the class of algorithm.

The most popular regression algorithms are:--

Ordinary Least Squares Regression (OLSR)
Linear Regression
Logistic Regression
Stepwise Regression
Multivariate Adaptive Regression Splines (MARS)
Locally Estimated Scatterplot Smoothing (LOESS)
Instance-based Algorithms

Instance-based Algorithms   Instance-based learning model is a decision problem with instances or examples of training data that are deemed important or required to the model.

Such methods typically build up a database of example data and compare new data to the database using a similarity measure in order to find the best match and make a prediction. For this reason, instance-based methods are also called winner-take-all methods and memory-based learning. Focus is put on the representation of the stored instances and similarity measures used between instances.

In machine learning, instance-based learning (sometimes called memory-based learning) is a family of learning algorithms that, instead of performing explicit generalization, compares new problem instances with instances seen in training, which have been stored in memory

The most popular instance-based algorithms are:--

k-Nearest Neighbor (kNN)
Learning Vector Quantization (LVQ)
Self-Organizing Map (SOM)
Locally Weighted Learning (LWL)
Support Vector Machines (SVM)



Regularization Algorithms -- An extension made to another method (typically regression methods) that penalizes models based on their complexity, favoring simpler models that are also better at generalizing. 

Regularization is a technique which makes slight modifications to the learning algorithm such that the model generalizes better. This in turn improves the model's performance on the unseen data as well

The most popular regularization algorithms are:--

Ridge Regression
Least Absolute Shrinkage and Selection Operator (LASSO)
Elastic Net
Least-Angle Regression (LARS)
Decision Tree Algorithms

Decision Tree Algorithms   Decision tree methods construct a model of decisions made based on actual values of attributes in the data. The decision tree algorithm tries to solve the problem, by using tree representation. Each internal node of the tree corresponds to an attribute, and each leaf node corresponds to a class label

Decisions fork in tree structures until a prediction decision is made for a given record. Decision trees are trained on data for classification and regression problems. Decision trees are often fast and accurate and a big favorite in machine learning.


The most popular decision tree algorithms are:--

Classification and Regression Tree (CART)
Iterative Dichotomiser 3 (ID3)
C4.5 and C5.0 (different versions of a powerful approach)
Chi-squared Automatic Interaction Detection (CHAID)
Decision Stump
M5
Conditional Decision Trees
Bayesian Algorithms



Bayesian Algorithms Bayesian methods are those that explicitly apply Bayes’ Theorem for problems such as classification and regression. It is a family of algorithms where all of them share a common principle, i.e. every pair of features being classified is independent of each other. Naive Bayes classifiers are a collection of classification algorithms based on Bayes' Theorem

The most popular Bayesian algorithms are:--

Naive Bayes
Gaussian Naive Bayes
Multinomial Naive Bayes
Averaged One-Dependence Estimators (AODE)
Bayesian Belief Network (BBN)
Bayesian Network (BN)
Clustering Algorithms



Association Rule Learning Algorithms   Association rule learning methods extract rules that best explain observed relationships between variables in data.

These rules can discover important and commercially useful associations in large multidimensional datasets that can be exploited by an organization.

The most popular association rule learning algorithms are:--

Apriori algorithm
Eclat algorithm

Artificial Neural Network Algorithms   Artificial Neural Networks are models that are inspired by the structure and/or function of biological neural networks.

They are a class of pattern matching that are commonly used for regression and classification problems but are really an enormous subfield comprised of hundreds of algorithms and variations for all manner of problem types.



Dimensional Reduction Algorithms   Like clustering methods, dimensionality reduction seek and exploit the inherent structure in the data, but in this case in an unsupervised manner or order to summarize or describe data using less information.


This can be useful to visualize dimensional data or to simplify data which can then be used in a supervised learning method. Many of these methods can be adapted for use in classification and regression.

Principal Component Analysis (PCA)
Principal Component Regression (PCR)
Partial Least Squares Regression (PLSR)
Sammon Mapping
Multidimensional Scaling (MDS)
Projection Pursuit
Linear Discriminant Analysis (LDA)
Mixture Discriminant Analysis (MDA)
Quadratic Discriminant Analysis (QDA)
Flexible Discriminant Analysis (FDA)
Ensemble Algorithms



Ensemble Algorithms Ensemble methods are models composed of multiple weaker models that are independently trained and whose predictions are combined in some way to make the overall prediction.

Much effort is put into what types of weak learners to combine and the ways in which to combine them. This is a very powerful class of techniques and as such is very popular.

Boosting
Bootstrapped Aggregation (Bagging)
AdaBoost
Weighted Average (Blending)
Stacked Generalization (Stacking)
Gradient Boosting Machines (GBM)
Gradient Boosted Regression Trees (GBRT)
Random Forest
Other Machine Learning Algorithms

Algorithms from specialty tasks in the process of machine learning, such as:--

Feature selection algorithms
Algorithm accuracy evaluation
Performance measures
Optimization algorithms

Algorithms from specialty subfields of machine learning, such as:--

Computational intelligence (evolutionary algorithms, etc.)
Computer Vision (CV)
Natural Language Processing (NLP)
Recommender Systems
Reinforcement Learning
Graphical Models


To get the most value out of Big Data, other Machine Learning tools and processes that leverage various algorithms include:--

Comprehensive data quality and management
GUIs for building models and process flows
Interactive data exploration and visualization of model results
Comparisons of different Machine Learning models to quickly identify the best one
Automated ensemble model evaluation to identify the best performers
Easy model deployment so you can get repeatable, reliable results quickly
An integrated end-to-end platform for the automation of the data-to-decision process
Machine Learning Certification

Whether you realize it or not, Machine Learning is one of the most important technology trends—it underlies so many things we use. Speech recognition, Amazon and Netflix recommendations, fraud detection, and financial trading are a few examples of Machine Learning commonly in use in today’s data-driven world.

Machine Learning is increasingly touching more aspects of our everyday lives. This also means that there are many lucrative Machine Learning careers available. If you want to get in on the action, we have the resources to help you get there.

A machine learner based on decision trees or Bayesian networks is much more transparent to programmer inspection , which may enable an auditor to discover that the AI algorithm uses the address information of applicants who were born or previously  resided in predominantly poverty-stricken areas.

Responsibility, transparency, auditability, incorruptibility, predictability, and a tendency to not make innocent victims scream with helpless frustration: all criteria that  apply to humans performing social functions; all criteria that must be considered in an  algorithm intended to replace human judgment of social functions; all criteria that may  not appear in a journal of machine learning considering how an algorithm scales up to  more computers. T

his list  that Artificial Intelligence falls short of human capabilities in some critical sense, even though AI algorithms have beaten humans in many specific domains such as chess. It has  AI algorithms with human-equivalent or superior performance are characterized by a  deliberately programmed competence only in a single, restricted domain. 

Deep Blue  became the world champion at chess, but it cannot even play checkers, let alone drive a car or make a scientific discovery.

Algorithms in each category, in essence, perform the same task of predicting outputs given unknown inputs, however, here data is the key driver when it comes to picking the right algorithm.

What follows is an outline of categories of Machine Learning problems with a brief overview of the same:--

Classification
Regression
Clustering


Classification Algorithms
Classification, as the name suggests is the act of dividing the dependent variable (the one we try to predict) into classes and then predict a class for a given input. It falls into the category of Supervised Machine Learning, where the data set needs to have the classes, to begin with.

Thus, classification comes into play at any place where we need to predict an outcome, from a set number of fixed, predefined outcomes.

Classification uses an array of algorithms, a few of them listed below--

Naive Bayes
Decision Tree
Random Forest
Logistic Regression
Support Vector Machines
K Nearest Neighbours


Naive Bayes

Naive Bayes algorithm follows the Bayes theorem, which unlike all the other algorithms in this list, follows a probabilistic approach. This essentially means, that instead of jumping straight into the data, the algorithm has a set of prior probabilities set for each of the classes for your target.

The Backpropagation algorithm looks for the minimum value of the error function in weight space using a technique called the delta rule or gradient descent. The weights that minimize the error function is then considered to be a solution to the learning problem. 

The objective of backpropagation algorithm is to to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly. Back-propagation is just a way of propagating the total loss back into the neural network to know how much of the loss every node is responsible for, and subsequently updating the weights in such a way that minimizes the loss by giving the nodes with higher error rates lower weights and vice versa 

Backpropagation is a neural network learning algorithm. ... Roughly speaking, a neural network is a set of connected input/output units in which each connection has a weight associated with it. Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input 


Backpropagation algorithms are a family of methods used to efficiently train artificial neural networks (ANNs) following a gradient-based optimization algorithm that exploits the chain rule. The main feature of backpropagation is its iterative, recursive and efficient method for calculating the weights updates to improve the network until it is able to perform the task for which it is being trained. It is closely related to the Gauss–Newton algorithm.

Backpropagation requires the derivatives of activation functions to be known at network design time. Automatic differentiation is a technique that can automatically and analytically provide the derivatives to the training algorithm. 

In the context of learning, backpropagation is commonly used by the gradient descent optimization algorithm to adjust the weight of neurons by calculating the gradient of the loss function; backpropagation computes the gradient(s), whereas (stochastic) gradient descent uses the gradients for training the model (via optimization).

Augmented Intelligence fuses technology with human expertise. The role of AI may become greater in time, but the state of technology still requires a human element — if for nothing else than to tag and train our algorithms and make them iteratively smarter. 

Human Review. To better inform the algorithms, there needs to be a continuous feedback loop where every ID (and face matching image pair) is labeled as pass or fail. When only a small fraction of transactions is reviewed by humans (as is often the case with automated solutions), this limits the ability of deep learning.

.
Cloud Algorithms

The term algorithm is currently making a meteoric rise to fame. A geeky term that was previously confined to the world of mathematicians and software engineers is making its way into the mainstream, as people are increasingly recognizing the material impact on society that algorithms are starting to have. 

Algorithms, that used to be buried away inside of computer program files, used to find the derivative of a slope, or to find the shortest path between two locations, have today expanded to almost all areas of human activity. 

Algorithms for determining the value of a basketball player based upon a computerized analysis of his performance last season. Algorithms that analyze the incoming customer service calls and rout them to the most appropriate agent. 

Algorithms determining the likelihood of a convict reoffending, for analyzing insurance claims, for coordinating the nightly maintenance on a mass transit system, for driving cars, identifying symptoms. 

Algorithms to determine which candidate a company should hire, who should we recommend as a friend on social media or what films, books or music would someone like. 

And of course, algorithms have taken over financial markets, now making up 70% of trades, as stock markets have become layers upon layers of algorithms. An algorithm is a set of instructions for performing a certain operation. An algorithmic system takes an input and transforms it into a set of operations to create an output. 

Algorithms are being transformed from the mechanistic linear form of the past, where we prespecified all the rules, hand-coded them with the end result looking like cogs in a gearbox, to today where algorithms take a more networked form, they are self-organizing and learn from data. These new forms of algorithms take many different names from cognitive systems to artificial intelligence, to machine learning.

These advanced algorithms, unlike the static mechanical models of the past, are adaptive in nature: They may learn as information changes, and as goals and requirements evolve. They may resolve ambiguity and tolerate unpredictability. 

They may be engineered to feed on dynamic data in real time, or near real time they are amenable to the processing of unstructured data, the processing of millions of parameters and complex patterns. Such as speech recognition, sentiment analysis, face detection, risk assessment, fraud detection, behavioral recommendations. 

This means these advanced analytical methods are no longer confined to mathematical operations but can handle more unstructured human-like activities such as many basic services.

Algorithms are shortcuts people use to tell computers what to do. At its most basic, an algorithm simply tells a computer what to do next with an “and,” “or,” or “not” statement. Think of it like math: it starts off pretty simple but becomes infinitely complex when expanded. 

When chained together, algorithms – like lines of code – become more robust. They’re combined to build AI systems like neural networks. Since algorithms can tell computers to find an answer or perform a task, they’re useful for situations where we’re not sure of the answer to a question or for speeding up data analysis.

As an example, imagine you have to sort through a million files for the word “blue.” Even if it only took you one second per file, you’d have to sort for over 11 days straight without stopping to sleep, eat, or use the loo. 

But, if you taught a computer to recognize the word “blue” using an algorithm, it could do the work for you – and given enough processing power and proper algorithmic-tuning, it could probably accomplish the task in a few seconds.

That’s what algorithms provide for society: a shortcut to getting a computer to do something it normally couldn’t. Algorithms provide the instructions for almost any AI system you can think of:

Motion detection no longer requires sensors thanks to algorithms  Facebook’s algorithms know how to advertise to you  Google’s algorithm determines what news you see first 

Algorithms save humans time by giving computers the necessary tools to perform functions that can’t be hard coded.

A programming algorithm is a computer procedure that is a lot like a recipe (called a procedure) and tells your computer precisely what steps to take to solve a problem or reach a goal.

The best chosen algorithm makes sure computer will do the given task at best possible manner. In cases where efficiency matter a proper algorithm is really vital to be used. An algorithm is important in optimizing a computer program according to the available resources

Dynamic programming approach is similar to divide and conquer in breaking down the problem into smaller and yet smaller possible sub-problems. ... Before solving the in-hand sub-problem, dynamic algorithm will try to examine the results of the previously solved sub-problems 

Algorithm in Programming. In programming, algorithm is a set of well defined instructions in sequence to solve the problem.

An algorithm is a recipe, or set of general instructions for how to perform some operation or function (e.g., a type of sort, or computing a floating point multiplication, or creating a hash code or using it to look up a value in a dictionary implemented as a hash table.)


Binary is a representation or code for information or data.

An algorithm is a set of rules for performing some function or finding new information from the information you already have.
As quantum computers grow more powerful, common encryption algorithms become obsolete. Today, most data encryption security depends on the difficulty of factorizing (or breaking up) large numbers into primes. 

To break a private key or crack an encryption method, factorization algorithms must painstakingly attempt to make divisions by successive numbers. While the task can be completed by today’s supercomputers, it would make no financial sense to use them. The estimated time that a conventional computer would need to break a 4096-bit RSA key would exceed the time that has passed since the formation of our galaxy!

Biological hardware (learning rules) is designed to deal with asynchronous inputs and refine their relative information.  In contrast, traditional artifical intelligence algorithms are based on synchronous inputs, hence the relative timing of different inputs constituting the same frame is typically ignored.

Algorithmic bias: Machine-learning algorithms identify patterns in data and codify them in predictions, rules and decisions. If those patterns reflect some existing bias, the algorithms are likely to amplify that bias and may produce outcomes that reinforce existing patterns of discrimination.

Overestimating the capabilities of AI: Since AI systems do not understand the tasks they perform, and rely on their training data, they are far from infallible. The reliability of their outcomes can be jeopardized if the input data is biased, incomplete or of poor quality.

Programmatic errors: Where errors exist, algorithms may not perform as expected and may deliver misleading results that have serious consequences.

Humans can rely on an algorithm to reduce the risk of error in their interactions with a complex system, but the final decision must remain with the human.

Algorithms are written by humans, who are fallible, that the car had been programmed to take into account a cyclist or a pedestrian but not a pedestrian pushing a bike. It was also programmed to not take into account interfering images such as that of a plastic bag flying on the road, so as not to be stopped erratically.

There is no intelligence in AI,  but there is knowledge – of data and of rules – and there is recognition . Instead we should talk about “augmented intelligence of the human” who will rely on resources that he cannot mobilise with the same power as the machine

AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data.

Potentially devastating social repercussions can arise when human predilections (conscious or unaware) are brought to bear in choosing which data points to use and which to disregard. Furthermore, when the process and frequency of data collection itself are uneven across groups and observed behaviors, it’s easy for problems to arise in how algorithms analyze that data, learn, and make predictions.  

Negative consequences can include misinformed recruiting decisions, misrepresented scientific or medical prognoses, distorted financial models and criminal-justice decisions, and misapplied (virtual) fingers on legal scales.  In many cases, these biases go unrecognized or disregarded under the veil of “advanced data sciences,” “proprietary data and algorithms,” or “objective analysis.”

As we deploy machine learning and AI algorithms in new areas, there probably will be more instances in which these issues of potential bias become baked into data sets and algorithms. Such biases have a tendency to stay embedded because recognizing them, and taking steps to address them, requires a deep mastery of data-science techniques, as well as a more meta-understanding of existing social forces, including data collection. In all, debiasing is proving to be among the most daunting obstacles, and certainly the most socially fraught, to date.

AI is data-hungry and brittle. Neural nets require far too much data to match human intellects. In most cases, they require thousands or millions of examples to learn from. Worse still, each time you need to recognize a new type of item, you have to start from scratch.

Algorithmic problem-solving is also severely hampered by the quality of data it’s fed. If an AI hasn’t been explicitly told how to answer a question, it can’t reason it out. It cannot respond to an unexpected change if it hasn’t been programmed to anticipate it.

Today’s business world is filled with disruptions and events—from physical to economic to political—and these disruptions require interpretation and flexibility. Algorithms can’t do that.

AI lacks intuition. Humans use intuition to navigate the physical world. When you pivot and swing to hit a tennis ball or step off a sidewalk to cross the street, you do so without a thought—things that would require a robot so much processing power that it’s almost inconceivable that we would engineer them.

Algorithms get trapped in local optima. When assigned a task, a computer program may find solutions that are close by in the search process—known as the local optimum—but fail to find the best of all possible solutions. Finding the best global solution would require understanding context and changing context, or thinking creatively about the problem and potential solutions. Humans can do that. 

They can connect seemingly disparate concepts and come up with out-of-the-box thinking that solves problems in novel ways. AI cannot. In mathematics and computer science, a local optimum is the best solution to a problem within a small neighborhood of possible solutions. This concept is in contrast to the global optimum, which is the optimal solution when every possible solution is considered

In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution maximizing a criterion among a number of candidate solutions. Local search algorithms move from solution to solution in the space of candidate solutions (the search space) by applying local changes, until a solution deemed optimal is found or a time bound is elapsed.

Local search algorithms are widely applied to numerous hard computational problems, including problems from computer science (particularly artificial intelligence), mathematics, operations research, engineering, and bioinformatics.

In applied mathematics and computer science, a local optimum of an optimization problem is a solution that is optimal (either maximal or minimal) within a neighboring set of candidate solutions. This is in contrast to a global optimum, which is the optimal solution among all possible solutions, not just those in a particular neighborhood of values.

AI can’t explain itself. AI may come up with the right answers, but even researchers who train AI systems often do not understand how an algorithm reached a specific conclusion. This is very problematic when AI is used in the context of medical diagnoses, for example, or in any environment where decisions have non-trivial consequences. What the algorithm has “learned” remains a mystery to everyone. Even if the AI is right, people will not trust its analytical output.

AI offers tremendous opportunities and capabilities. But it can’t see the world as humans do. Instead, it provides the potential for humans to focus on more meaningful aspects of work that involve creativity and innovation. As automation replaces more routine or repetitive tasks, it will allow workers to focus more on inventions and breakthroughs, which ultimately fuels an enterprise’s success.

The ethics of artificial intelligence is the part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically  divided into roboethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, which is concerned with the moral behavior of artificial moral agents (AMAs).

In October 2017, the android Sophia was granted "honorary" citizenship in Saudi Arabia, though some observers found this to be more of a publicity stunt than a meaningful legal recognition. Some saw this gesture as openly denigrating of human rights and the rule of law.

Explainability is technically valuable. Developers need to be able to determine whether a system is solving the right problem. There are many examples of AI systems that “cheated” to arrive at the desired  outcome.

If AI systems in  high stakes fields ultimately solve the wrong problem, the outcome could be life threatening.

Because explainability is necessary for the adoption of AI in certain fields, in some ways the quest for  explainability is spurring AI innovation. For both ethical and technical reasons, academics and major AI companies  alike are devoting significant effort toward explainability, and they are making serious progress.

Explainability is knowing why AI rejects your credit card charge as fraud, denies your insurance claim, or confuses the side of a truck with a cloudy sky. Explainability is necessary to build trust and transparency into AI-powered software. The power and complexity of AI deep learning can make predictions and decisions difficult to explain to both customers and regulators. 

As our understanding of potential bias in data sets used to train AI algorithms grows, so does our need for greater explainability in our AI systems. To meet this challenge, enterprises can use tools like Low Code Platforms to put a human in the loop and govern how AI is used in important decisions.



Imagine stupid Indian judiciary wants AI in our system.. Our “ loser lawyer turned judges” are the worst on the planet.. Software has even been allowed to predict future criminals, ultimately controlling human freedom by shaping how parole is denied or granted to prisoners. In this way, the minds of judges are being shaped by decision-making mechanisms they cannot understand because of how complex the process is and how much data it involves.


We humans are not merely cut off from the decisions that machines are making for us but deeply affected by them in unpredictable ways. Instead of being central to the system of decisions that affects us, we are cast out in to its environment. We have progressively restricted our own decision-making capacity and allowed algorithms to take over. We have become artificial humans, or human artefacts, that are created, shaped and used by the technology.


The more you use the web and social networks, the more Google, Facebook and other internet companies know about you. Then, of course, there are the reams of data collected via more conventional means -- voter rolls, driver’s licenses, magazine subscriptions, credit card purchases -- that can be cross-linked with online information to paint a complete profile of individuals. Data itself isn’t inherently discriminatory. 

The problem arises in how it’s used and interpreted -- especially when algorithms characterize people via correlations or “proxy” data. When data is misused, software can compound stereotypes or arrive at false conclusions. If you were to check out a homosexual porn site to protect you own motherland , you may be branded as a homosexual.





Algorithms function by drawing on past data while also influencing real-life decisions, which makes them prone, by their very nature, to repeating human mistakes and perpetuating them through feedback loops.   

Often, their implications can be unexpected and unintended

An algorithm is a sequence of steps
• to perform a task
• given an initial situation (i.e., the input)

They work to provide a path between a start point and an end point in a consistent way, and provide the instructions to follow it

A computer program is an implemented algorithm


In the job market, excessive reliance on technology has led some of the world’s biggest companies to filter CVs through software, meaning human recruiters will never even glance at some potential candidates’ details. Not only does this put people’s livelihoods at the mercy of machines, it can also build in hiring biases that the company had no desire to implement, as happened with Amazon. Jews are always the gainers.

In news, what’s known as automated sentiment analysis analyses positive and negative opinions about companies based on different web sources. In turn, these are being used by trading algorithms that make automated financial decisions, without humans having to actually read the news.

91 % of all trading in the foreign exchange markets is conducted by algorithms alone. The growing algorithmic arms race to develop ever more complex systems to compete in these markets means huge sums of money are being allocated according to the decisions of machines. Jews laugh all the way to the kosher bank.

On a small scale, the people and companies that create these algorithms are able to affect what they do and how they do it. But because much of artificial intelligence involves programming software to figure out how to complete a task by itself, we often don’t know exactly what is behind the decision-making. As with all technology, this can lead to unintended consequences that may go far beyond anything the designers ever envisaged.

TAKE THE 2010 “FLASH CRASH” OF THE DOW JONES INDUSTRIAL AVERAGE INDEX. THE ACTION OF ALGORITHMS HELPED CREATE THE INDEX’S SINGLE BIGGEST DECLINE IN ITS HISTORY, WIPING NEARLY 9% OFF ITS VALUE IN MINUTES (ALTHOUGH IT REGAINED MOST OF THIS BY THE END OF THE DAY). A FIVE-MONTH INVESTIGATION COULD ONLY SUGGEST WHAT SPARKED THE DOWNTURN (AND VARIOUS OTHER THEORIES HAVE BEEN PROPOSED).

BUT THE ALGORITHMS THAT AMPLIFIED THE INITIAL PROBLEMS DIDN’T MAKE A MISTAKE. THERE WASN’T A BUG IN THE PROGRAMMING. THE BEHAVIOUR EMERGED FROM THE INTERACTION OF MILLIONS OF ALGORITHMIC DECISIONS PLAYING OFF EACH OTHER IN UNPREDICTABLE WAYS, FOLLOWING THEIR OWN LOGIC IN A WAY THAT CREATED A DOWNWARD SPIRAL FOR THE MARKET.

THE CONDITIONS THAT MADE THIS POSSIBLE OCCURRED BECAUSE, OVER THE YEARS, THE PEOPLE RUNNING THE TRADING SYSTEM HAD COME TO SEE HUMAN DECISIONS AS AN OBSTACLE TO MARKET EFFICIENCY. 

BACK IN 1987 WHEN THE US STOCK MARKET FELL BY 23 %, SOME WALL STREET BROKERS SIMPLY STOPPED PICKING UP THEIR PHONES TO AVOID RECEIVING THEIR CUSTOMERS’ ORDERS TO SELL STOCKS. THIS STARTED A PROCESS THAT HAS ENDED WITH COMPUTERS ENTIRELY REPLACING THE PEOPLE.

ALGORITHMS DELIBERATELY DO “BACK SWINGS” TO PUMP AND DUMP IN MILLI SECONDS ..

The financial world has invested millions in superfast cables and microwave communications to shave just milliseconds off the rate at which algorithms can transmit their instructions. When speed is so important, a human being that requires a massive 215 milliseconds to click a button is almost completely redundant. Our only remaining purpose is to reconfigure the algorithms each time the system of technological decisions fails.


As new boundaries are carved between humans and technology, we need to think carefully about where our extreme reliance on software is taking us. As human decisions are substituted by algorithmic ones, and we become tools whose lives are shaped by machines and their unintended consequences, we are setting ourselves up for technological domination. We need to decide, while we still can, what this means for us both as individuals and as a society.

ALTHOUGH ALGORITHMS ARE USED IN GLOBAL FINANCE AND OTHER WAYS THAT IMPACT SOCIETY, THERE IS NO LEGAL RECOURSE OR OFFICIAL AUTHORITY TO HOLD A COMPANY RESPONSIBLE FOR THE ACTIONS OF ITS ALGORITHMS.    

THAT’S PARTIALLY BECAUSE ALGORITHMS ARE OFTEN DEVELOPED AND IMPLEMENTED IN SECRET TO AVOID HACKING AND REVERSE ENGINEERING.

UNDERSTANDING ALGORITHMS AND THEIR IMPACT ON HUMAN LIFE GOES FAR BEYOND BASIC DIGITAL LITERACY

IT HAS BEEN MADE TOO CONVENIENT FOR PEOPLE TO FOLLOW THE ADVICE OF AN ALGORITHM (OR, TOO DIFFICULT TO GO BEYOND SUCH ADVICE), TURNING THESE ALGORITHMS INTO SELF-FULFILLING PROPHECIES, AND USERS INTO ZOMBIES OF GEORGE ORWELL’S 1984.


WE KNOW WHAT HAPPENED TO BOEING 737 SUPERMAX PASSENGER PLANE WHEN AUTOMATION VETOES THE HUMAN PILOT.. EVEN TODAY THE INQUIRY INTO THE CRASH HAS NOT GONE BEYOND TO WHAT I PREDICTED IN THE POST BELOW AS SOON AS THE CRASH HAPPENED —


THE ALGORITHMS ARE NOT IN CONTROL; PEOPLE CREATE AND ADJUST THEM TO HIJACK THE SYSTEM FOR EVIL PURPOSE OR PROFITS

GOOGLE, FACEBOOK, TWITTER, QUORA ETC USE  ALGORITHMS THAT CAN SINK MY BLOG POSTS WHICH EXHUME CRITICAL BURIED TRUTHS..   

THESE JEWISH DEEP STATE AGENTS , USE FILTER BUBBLES AND TAILOR UPDATES AND CONTENT TO EACH USER, WHICH COULD KEEP USERS FROM RECEIVING INFORMATION OR NEWS FROM SOURCES THAT CHALLENGE THEIR WORLDVIEW.. 

CAPT AJIT VADAKAYIL’S FOLLOWERS  CANNOT EVEN SEND A CRITICAL ADVISE/ WARNING TO OUR OWN NATIONS PM

WHEN YOU REMOVE THE HUMANITY FROM A SYSTEM WHERE PEOPLE ARE INCLUDED, THEY BECOME VICTIMS

SHYLOCK WINS-- THE COMMON GOOD HAS BECOME A DISCREDITED, OBSOLETE RELIC OF THE PAST..

ARTIFICIAL INTELLIGENCE IS ONLY AS SMART AS THE DATA SETS SERVED

THE POWER TO CREATE AND CHANGE REALITY WILL DELIBERATELY BE INSERTED  IN BLACK BOX TECHNOLOGY THAT ONLY A FEW TRULY UNDERSTAND.. 

THIS BLOGSITE WILL NOT ALLOW HUMANS TO BE AT THE TENDER MERCIES OF KOSHER BIG BROTHER WHO  CONTROLS THE TECHNOLOGY.














SOMEBODY CALLED ME UP AND ASKED ME..

CAPTAIN—

WHO IS MUHAMMAD IBN MUSA AL-KHWARIZMI WHOM MODERN HISTORIANS ARE CALLING THE “FATHER OF COMPUTER SCIENCE” AND THE “FATHER OF ALGORITHMS”??.

LISTEN –

ARAB MUHAMMAD IBN MUSA AL-KHWARIZMI WAS A BRAIN DEAD FELLOW WHOSE ENTIRE WORK WAS SOLD TO HIM TRANSLATED INTO ARABIC BY THE CALCIUT KING FOR GOLD.

THE CALICUT KING MADE HIS MONEY BY NOT ONLY SELLING SPICES –BUT KNOWLEDGE TOO.

HE MAMANKAM FEST HELF AT TIRUNAVAYA KERALA BY THE CALICUT KING EVERY 12 YEARS WAS AN OCCASION WHERE KNOWLEDGE WAS SOLD FOR GOLD.

http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html

EVERY ANCIENT GREEK SCHOLAR ( PYTHAGORAS/ PLATO/ SOCRATES ETC ) EXCEPT ARISTOTLE STUDIED AT KODUNGALLUR UNIVERSITY.. THE KERALA SCHOOL OF MATH WAS PART OF IT.

OUR ANCIENT BOOKS ON KNOWLEDGE DID NOT HAVE THE AUTHORs NAME AFFIXED ON THE COVER AS WE CONSIDERED BOOKS AS THE WORK OF SOULS , WHO WOULD BE BORN IN ANOTHER WOMANs WOMB AFTER DEATH.

THE GREEKS TOOK ADVANTAGE OF THIS , STOLE KNOWLEDGE FROM KERALA / INDIA AND PATENTED IT IN THEIR OWN NAMES, WITH HALF BAKED UNDERSTANDING .

WHEN THE KING OF CALICUT CAME TO KNOW THIS, HE BLACKBALLED GREEKS FROM KODUNGALLUR UNIVERSITY .. AND SUDDENLY ANCIENT GREEK KNOWLEDGE DRIED UP LIKE WATER IN THE HOT DESERT SANDS.

LATER THE CALICUT KING SOLD TRANSLATED INTO ARABIC KNOWLEDGE TO BRAIN DEAD ARABS LIKE MUHAMMAD IBN MUSA AL-KHWARIZMI FOR GOLD..

THESE ARAB MIDDLE MEN SOLD KNOWLEDGE ( LIKE MIDDLEMEN FOR SPICES) TO WHITE MEN FOR A PREMIUM.

FIBONACCI TOOK HIS ARABIC WORKS TO ITALY FROM BEJAYA , ALGERIA.

http://ajitvadakayil.blogspot.com/2010/12/perfect-six-pack-capt-ajit-vadakayil.html

EVERY VESTIGE OF ARAB KNOWLEDGE IN THE MIDDLE AGES WAS SOLD IN TRANSLATED ARABIC BY KODUNGALLUR UNIVERSITY FOR GOLD..

FROM 800 AD TO 1450 AD KODUNGALLUR UNIVERSITY OWNED BY THE CALICUT KING EARNED HUGE AMOUNT OF GOLD FOR SELLING READY MADE TRANSLATED KNOWLEDGE ..

THIS IS TIPU SULTANS GOLD WHO STOLE IT FROM NORTH KERALA TEMPLE VAULTS.. ROTHSCHILD BECAME THE RICHEST MAN ON THIS PLANET BY STEALING TIPU SUTANs GOLD IN 1799 AD.

http://ajitvadakayil.blogspot.com/2011/10/tipu-sultan-unmasked-capt-ajit.html

WHEN TIPU SULTAN WAS BLASTING TEMPLE VAULTS, LESS THAN 1% OF THE GOLD WAS SECRETLY TRANSFERRED TO SOUTH KERALA ( TRADITIONAL ENEMIES ) OF THE CALICUT KING. LIKE HOW SADDAM HUSSAIN FLEW HIS FIGHTER JETS TO ENEMY IRAN .

THIS IS THE GOLD WHICH WAS UNEARTHED FROM PADMANABHASWAMY TEMPLE..

http://ajitvadakayil.blogspot.com/2013/01/mansa-musa-king-of-mali-and-sri.html

ALGORITHMS ARE SHORTCUTS PEOPLE USE TO TELL COMPUTERS WHAT TO DO. AT ITS MOST BASIC, AN ALGORITHM SIMPLY TELLS A COMPUTER WHAT TO DO NEXT WITH AN “AND,” “OR,” OR “NOT” STATEMENT.

THE ALGORITHM IS BASICALLY A CODE DEVELOPED TO CARRY OUT A SPECIFIC PROCESS. ALGORITHMS ARE SETS OF RULES, INITIALLY SET BY HUMANS, FOR COMPUTER PROGRAMS TO FOLLOW.

A PROGRAMMING ALGORITHM IS A COMPUTER PROCEDURE THAT IS A LOT LIKE A RECIPE (CALLED A PROCEDURE) AND TELLS YOUR COMPUTER PRECISELY WHAT STEPS TO TAKE TO SOLVE A PROBLEM OR REACH A GOAL.

THERE IS NO ARTIFICIAL INTELLIGENCE WITHOUT ALGORITHMS. ALGORITHMS ARE, IN PART, OUR OPINIONS EMBEDDED IN CODE.

ALGORITHMS ARE AS OLD AS DANAVA CIVILIZATION ITSELF – THIEF GREEK EUCLID’S ALGORITHM BEING ONE OF THE FIRST EXAMPLES DATING BACK SOME 2300 YEARS

EUCLID JUST PATENTED MATH HE LEARNT IN THE KERALA SCHOOL OF MATH IN HIS OWN NAME.. EUCLID IS A THIEF LIKE PYTHAGORAS WHO LEARNT IN THE KERALA SCHOOL OF MATH.

http://ajitvadakayil.blogspot.com/2011/01/isaac-newton-calculus-thief-capt-ajit.html

ALGEBRA DERIVED FROM BRAIN DEAD AL-JABR, ONE OF THE TWO OPERATIONS HE USED TO SOLVE QUADRATIC EQUATIONS.

ALGORISM AND ALGORITHM STEM FROM ALGORITMI, THE LATIN FORM OF HIS NAME.


CONTINUED TO 2--

  1. CONTINUED FROM 1-

    BRAIN DEAD CUNT AL-KHWARIZMI DEVELOPED THE CONCEPT OF THE ALGORITHM IN MATHEMATICS -WHICH IS A REASON FOR HIS BEING CALLED THE GRANDFATHER OF COMPUTER SCIENCE ( SIC ).. THEY SAY THAT THE WORD “ALGORITHM” IS ACTUALLY DERIVED FROM A LATINIZED VERSION OF AL-KHWARIZMI’S NAME BRAAAYYYYYYY.

    ALGORITMI DE NUMERO INDORUM IN ENGLISH AL-KHWARIZMI ON THE HINDU ART OF RECKONING GAVE RISE TO THE WORD ALGORITHM DERIVING FROM HIS NAME IN THE TITLE. THE WORK DESCRIBES THE HINDU PLACE-VALUE SYSTEM OF NUMERALS BASED ON 1, 2, 3, 4, 5, 6, 7, 8, 9, AND 0. THE FIRST USE OF ZERO AS A PLACE HOLDER IN POSITIONAL BASE NOTATION WAS DUE TO AL-KHWARIZMI IN THIS WORK.

    ANOTHER IMPORTANT WORK BY AL-KHWARIZMI WAS HIS WORK SINDHIND ZIJ ON ASTRONOMY. THE WORK, DESCRIBED IN DETAIL IN , IS BASED IN INDIAN ASTRONOMICAL WORKS..

    THE MAIN TOPICS COVERED BY AL-KHWARIZMI IN THE SINDHIND ZIJ ARE CALENDARS; CALCULATING TRUE POSITIONS OF THE SUN, MOON AND PLANETS, TABLES OF SINES AND TANGENTS; SPHERICAL ASTRONOMY; ASTROLOGICAL TABLES; PARALLAX AND ECLIPSE CALCULATIONS; AND VISIBILITY OF THE MOON. A RELATED MANUSCRIPT, ATTRIBUTED TO AL-KHWARIZMI, ON SPHERICAL TRIGONOMETRY IS DISCUSSED..

    PTOLEMY’ ENTIRE WORKS ARE LIFTED FROM KODUNGALLUR UNIVERSITY KERALA OWNED BY THE CALICUT KING. AL-KHWARIZMI'S TABLES WERE CAST ON PTOLEMY’S TABLES.

    AL-KHWARIZMI WROTE ON THE ASTROLABE AND SUNDIALS ,WHICH ARE HINDU INSTRUMENTS

    THERE IS A STATUE OF MUHAMMAD IBN MUSA AL-KHWARIZMI HOLDING UP AN ASTROLABE IN FRONT OF THE FACULTY OF MATHEMATICS OF AMIRKABIR UNIVERSITY OF TECHNOLOGY IN TEHRAN . HE GOT AN ASTROLABE INSTRUMENT AND TRANSLATED INTO ARABIC NOTES OF THE MANUAL ( BOTH CONSTRUCTION AND OPERATIONAL ) FOR GOLD .. HIS ASTROLABE INSTRUMENT HAD PLATES FOR MECCA/ ISTANBUL/ ALEXANDRIA.

    ASTROLABE BRASS INSTRUMENTS WERE SOLD BY KODUNGALLUR UNIVERSITY PROFESSORS AT THE LIBRARY OF CORDOBA IN SPAIN..

    THESE SIMPLE BRASS DEEP SEA NAVIGATION INSTRUMENTS WERE PRODUCED MUCH BEFORE THE COMPLICATED ANTIKYTHERA AUTOMATIC ( PERPETUAL MOTION ) MECHANISM..

    THE DEEP SEA NAVIGATING SHIPS OF QUEEN DIDO , A KERALA THIYYA PRINCESS WHO TAUGHT AT THE UNIVERSITY OF ALEXANDRIA IN 1600 BC ( ON DEPUTATION FROM KODUNGALLUR UNIVERSITY ) CARRIED THESE INSTRUMENTS..

    http://ajitvadakayil.blogspot.com/2019/05/the-ancient-7000-year-old-shakti.html

    ASTROLABE IT IS AN ELABORATE INCLINOMETER, HISTORICALLY USED BY ASTRONOMERS AND NAVIGATORS TO MEASURE THE ALTITUDE ABOVE THE HORIZON OF A CELESTIAL BODY, DAY OR NIGHT.

    IT CAN BE USED TO IDENTIFY STARS OR PLANETS, TO DETERMINE LOCAL LATITUDE GIVEN LOCAL TIME (AND VICE VERSA), TO SURVEY, OR TO TRIANGULATE. ASTROLABE WAS CALLED SITARA YANTRA..

    http://ajitvadakayil.blogspot.com/2019/09/onam-our-only-link-to-planets-oldest.html

    AN ASTROLABE (SOLD IN CORDOBA SPAIN ) WAS EXCAVATED FROM THE WRECK SITE OF A PORTUGUESE ARMADA SHIP AS THE OLDEST IN THE WORLD. THEY ALSO CERTIFIED A SHIP'S BELL -- DATED 1498 -- RECOVERED FROM THE SAME WRECK SITE ALSO AS THE OLDEST IN THE WORLD.

    DONT EVER THINK THAT VASCO DA GAMA AND COLUMBUS NAVIGATED ON WESTERN TECHNOLOGY.. THEY USED ANCIENT DEEP SEA NAVIGATING INSTRUMENTS OF ANCIENT KERALA THIYYA NAVIGATORS..

    DIOPHANTUS STUDIED IN KODUNGALLUR UNIVERSITY. HE IS THE AUTHOR OF A SERIES OF BOOKS CALLED ARITHMETICA, ALL LIFTED FROM KERALA SCHOOL OF MATH.

    THIEF DIOPHANTUS WAS THE FIRST GREEK MATHEMATICIAN WHO RECOGNIZED FRACTIONS AS NUMBERS; THUS HE ALLOWED POSITIVE RATIONAL NUMBERS FOR THE COEFFICIENTS AND SOLUTIONS.

    IN MODERN USE, DIOPHANTINE EQUATIONS ARE USUALLY ALGEBRAIC EQUATIONS WITH INTEGER COEFFICIENTS, FOR WHICH INTEGER SOLUTIONS ARE SOUGHT. DIOPHANTUS WAS A BRAIN DEAD FELLOW WHO STOLE HIS ALGEBRA FROM THE KERALA SCHOOL OF MATH.

    MEDIOCRE BRAIN JEW ALBERT EINSTEIN WAS A THIEF… HE STOLE FROM PART TWO ( BRAHMANAS ) AND PART THREE ( ARANYAKAS ) OF THE VEDAS..

    http://ajitvadakayil.blogspot.com/2018/11/albert-einstein-was-thief-plagiarist.html

    LIES WONT WORK.. A BROWN BLOGGER IS IN TOWN !

    Capt ajit vadakayil
    ..


THIS POST IS NOW CONTINUED TO PART 15 BELOW--






CAPT AJIT VADAKAYIL
..

CORONAVIRUS DEATHS , NANO GOLD COLLOIDS IN GOMUTRA OF HUMPED COW AS PROPHYLAXIS FOR MICROGLIA – CAPT AJIT VADAKAYIL

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I AM BREAKING MY POLICY OF NOT PENNING ANY MEDICAL BLOG POSTS..

HOWEVER ON POPULAR REQUEST, I WILL PUT A POST ON CORONAVIRUS ..

WHEN I PENNED THE POST BELOW,  I DID NOT GIVE TECHNICAL DETAILS..    


URINE OF HUMPED COW CONTAINS NANO GOLD COLLOIDS ..

THE WEST OF COURSE WILL THINK I AM A HINDU SAVAGE..   BUT THEN I CAN FIT THEIR INTELLECT UNDER THE FORESKIN OF MY UNCIRCUMCISED PRICK..


I HAD WRITTEN THAT CHINA / KOREA WILL BE AFFECTED MORE THAN INDIA BY CORONAVIRUS..

THE REASON IS WE HAVE FRESH TURMERIC IN OUR DAILY DIET..  AND WE IN INDIA DO NOT EAT CARNIVOROUS ANIMALS





BELOW: THE EPICENTER OF CORONAVIRUS IS WUHAN CHINA--  WHERE 5G EXPERIMENTS TAKE PLACE..




MICROGLIA account for 15% of all cells found within the brain.  They act as the first and main form of active immune defense in the central nervous system (CNS)


The entire immune system is very much a part of a functional CNS, with vital roles in cognition, injury repair, neurodegenerative disease, and sensory systems.

  1. https://timesofindia.indiatimes.com/world/china/dying-a-desperate-death-a-wuhan-familys-coronavirus-ordeal/articleshow/74132538.cms

    https://www.youtube.com/watch?v=wreyKr9Rprw

    5G CAUSES DNA DAMAGE..

    THE ELECTROMAGNETIC WAVES IN 5G NETWORKS TRAVEL SHORTER DISTANCES, SO MORE TRANSMITTERS ARE REQUIRED AND THEY HAVE TO BE INSTALLED CLOSER TO GROUND LEVEL.

    HIGH-ENERGY RADIATION (INCLUDING X-RAYS AND GAMMA RAYS) HAS AN IONIZING IMPACT.

    THIS MEANS IT HAS ENOUGH ENERGY TO REMOVE AN ELECTRON FROM AN ATOM OR MOLECULE AND CAN DAMAGE CELL DNA, POTENTIALLY LEADING TO CANCER.

    AT PRESENT, THERE IS NO EMF METER IN THE MARKET THAT IS ABLE TO DETECT 5G

    NOBODY HAS WRITTEN ABOUT BBB ( BLOOD BRAIN BARRIER ) INTEGRITY DAMAGE..

    https://www.youtube.com/watch?v=K_zc1WKT0CA

    https://www.youtube.com/watch?v=Nf6Lr0xp24c

    WHEN BLOOD–BRAIN BARRIER BECOMES MORE POROUS, IT ALLOWS BACTERIA AND OTHER TOXINS TO INFECT THE BRAIN TISSUE, WHICH CAN LEAD TO INFLAMMATION AND SOMETIMES DEATH

    WUHAN’S MASSIVE 5G ROLLOUT AND ITS FIBER COMPONENT SUPPLY HAVE TAKEN A HIT FROM THE CORONAVIRUS OUTBREAK. WUHAN IS HOME TO FIBER PREFORM PRODUCERS, YOFC AND FIBERHOME.

    FRESH GOMUTRA ( GOLD COLLOIDS ) OF HUMPED COW PREVENTS DEGRADATION OF BBB..

    THE BLOOD–BRAIN BARRIER (BBB) SELECTIVELY REGULATES THE CELLULAR EXCHANGE OF MACROMOLECULES BETWEEN THE CIRCULATION AND THE CENTRAL NERVOUS SYSTEM (CNS).

    MANY LAB MADE VIRUSES INFECTS THE BRAIN VIA A DISRUPTED BBB AND ALTERED EXPRESSION OF TIGHT JUNCTION (TJ) PROTEINS, WHICH ARE STRUCTURAL COMPONENTS OF THE BBB.

    EXPERIMENTS FOR VACCINES CANNOT BE DONE ON NON-CONSCIOUS LAB CREATURES. THE INTERFACE BETWEEN THE HUMAN BRAIN AND THE BLOODSTREAM, THE BLOOD-BRAIN-BARRIER, IS SO METICULOUS THAT NON-CONSCIOUS ANIMAL MODELS FAIL TO REPRESENT IT.

    CHINA MUST KNOW THAT BIOLOGICAL WARAFE WITH FLUE VIRUSES AFFECT INDIANS LESS THAN CHINESE WITH POOR QUALITY NON-VEG FOOD HABITS. EPITHELIAL CELLS THAT LINE THE RESPIRATORY TRACT ARE THE FIRST CELLS THAT CAN BE INFECTED BY RESPIRATORY VIRUSES.

    capt ajit vadakayil
    ..


  1. VERY LITTLE SUDY HAS BEEN DONE ON HOW PATHOGENS AND VIRUSES AFFECT THE BLOOD BRAIN BARRIER.

    CONSCIOUS HUMAN BRAINS WORK DIFFERENTY FROM LAB ANIMAL BRAINS. CHOOTIYA SCIENTISTS DO NOT UNDERSTAND THIS THUMB RULE..

    THERE ARE A VARIETY OF MEANS BY WHICH VIRUSES ENTER THE BRAIN, PRIMARILY VIA NEURONAL TRANSPORT OR BY CROSSING OF ONE OF SEVERAL BARRIERS TO THE CENTRAL NERVOUS SYSTEM (CNS), INCLUDING THE BBB OR THE BLOOD-CEREBROSPINAL FLUID BARRIER (CHOROID PLEXUS).

    SOME VIRUSES CAN ENTER THE BODY THROUGH THE NOSE AND MOUTH AND MOVE TO THE BRAIN BY REPLICATING AND SPREADING THROUGH THE OLFACTORY BULBS; THE LINGUAL NERVE, WHICH RUNS DOWN THE JAWLINE AND INTO THE TONGUE; OR THE VAGUS NERVE, WHICH TRAVELS THROUGH THE NECK AND THORAX TO THE STOMACH.

    WHEN INTERACTING WITH THE NERVOUS SYSTEM, VIRAL PARTICLES CAN CROSS THE BLOOD-BRAIN BARRIER DIRECTLY OR THROUGH INFECTION OF ENDOTHELIAL CELLS , OR THEY CAN USE A TROJAN HORSE APPROACH , INFECTING MONOCYTES THAT CROSS THE BARRIER BEFORE REPLICATING AND BURSTING OUT OF THE WHITE BLOOD CELLS ONCE INSIDE THE BRAIN.

    ENDOTHELIUM CELLS LINE THE INTERIOR SURFACE OF BLOOD VESSELS AND LYMPHATIC VESSELS, FORMING AN INTERFACE BETWEEN CIRCULATING BLOOD OR LYMPH IN THE LUMEN AND THE REST OF THE VESSEL WALL.. MONOCYTES ARE A TYPE OF WHITE BLOOD CELL THAT FIGHTS OFF BACTERIA, VIRUSES AND FUNGI.

    ALTERNATIVELY, SOME VIRUSES DO NOT CROSS THE BLOOD-BRAIN BARRIER BUT INVOKE AN IMMUNE RESPONSE THAT MAY SPUR CYTOKINES OR CHEMOKINES TO BREACH THE DIVIDE

    CYTOKINES ARE A LARGE GROUP OF PROTEINS, PEPTIDES OR GLYCOPROTEINS THAT ARE SECRETED BY SPECIFIC CELLS OF IMMUNE SYSTEM. CYTOKINES ARE A CATEGORY OF SIGNALING MOLECULES THAT MEDIATE AND REGULATE IMMUNITY, INFLAMMATION AND HEMATOPOIESIS

    ONCE INSIDE THE BRAIN, VIRUSES CAN INFECT CELLS OR THEIR MYELIN SHEATHS AND KILL THEM . VIRUSES DON’T NECESSARILY HAVE TO ENTER THE BRAIN TO CAUSE DAMAGE, THOUGH. THEY CAN ALSO SPARK AN IMMUNE RESPONSE THAT ACTIVATES MICROGLIA, WHICH THEN CONSUME OTHERWISE HEALTHY NEURONS ..

    MICROGLIAL CELLS MEDIATE IMMUNE RESPONSES IN THE CENTRAL NERVOUS SYSTEM BY ACTING AS MACROPHAGES, CLEARING CELLULAR DEBRIS AND DEAD NEURONS FROM NERVOUS TISSUE THROUGH THE PROCESS OF PHAGOCYTOSIS (CELL EATING).

    http://ajitvadakayil.blogspot.com/2017/02/vaccine-induced-encephalitis-mylelin.html

    http://ajitvadakayil.blogspot.com/2016/07/myelomeningocele-spina-bifida-neural.html

    http://ajitvadakayil.blogspot.com/2018/05/nipa-virus-deaths-in-kerala-gomutra-of.html

    capt ajit vadakayil
    ..

I HAVE WRITTEN ABOUT FLU VACCINES IN MY POST BELOW..  READ ALL 4 PARTS.

KOSHER EVIL PHARMA IS MINTING MONEY FROM FLUE VACCINES WHICH DON’T WORK.







BELOW: THE INDIAN DIET HAS FRESH TURMERIC  -- A COMPULSORY COMPONENT IN OUR CURRY .. CIRCUMIN FORTIFIES OUR MICROGLIA

STUPID WESTERN CUNT SCIENTISTS DO NOT NOW THAT "CONSCIOUS" HUMAN BRAIN IS TOTALLY DIFFERENT FROM THE BRAIN OF LAB RATS.








BELOW: THE FIRST KING OF ROME , RAMA , WAS AN ETRUSCAN.    HE DRANK FROM SUCH A CUP BELOW..

I AM AN ETRUSCAN

JEW ROTHSCHILD TOOK AWAY SUCH A CUP IN 1857, AFTER HE TOOK OVER INDIA..

http://ajitvadakayil.blogspot.com/2019/08/secrets-of-roman-pantheon-inaugurated.html



AYURVEDA USED GOLD AND SILVER COLLOIDS AS ANTIBIOTICS WITHOUT SIDE EFFECTS




BELOW:  HUMPLESS WESTERN COWS ARE WORSE THAN PIGS..  EXTERMINATE THEM...   

THE DESH DROHI WHITE REVOLUTION OF DEEP STATE AGENT VERGHESE KURIAN DECIMATED 80% OF OUR VEDIC HUMPED COWS..




MICROGLIA, a class of immune cells in the brain, regulate the permeability of the brain's protective barrier in response to systemic inflammation.    During inflammation, Microglia initially protect the barrier's integrity, but they can later reverse their behavior and increase the barrier's permeability.


The blood–brain barrier (BBB) is a highly selective semipermeable border of endothelial cells that prevents solutes in the circulating blood from non-selectively crossing into the extracellular fluid of the central nervous system where neurons reside

The blood-brain barrier restricts the passage of pathogens, the diffusion of solutes in the blood, and large or hydrophilic molecules into the cerebrospinal fluid  The blood-brain barrier becomes more permeable during inflammation, allowing antibiotics and phagocytes to move across the BBB.   However, this also allows bacteria and viruses to infiltrate the blood-brain barrier

HIV can cross the blood–brain barrier inside circulating monocytes in the bloodstream ("Trojan horse theory") within the first 14 days of infection. Once inside, these monocytes become activated and are transformed into macrophages. Activated macrophages release virions into the brain tissue proximate to brain microvessels. 

These viral particles likely attract the attention of sentinel brain MICROGLIA and perivascular macrophages initiating an inflammatory cascade that may cause a series of intracellular signaling in brain microvascular endothelial cells and damage the functional and structural integrity of the BBB.


MICROGLIA are a type of neuroglia (glial cell) located throughout the brain and spinal cord.

As the resident macrophage cells,  MICROGLIA  act as the first and main form of active immune defense in the central nervous system (CNS).


MICROGLIA are the primary immune cells of the Central Nervous System, similar to peripheral macrophages.   They respond to pathogens and injury by changing morphology and migrating to the site of infection/injury, where they destroy pathogens and remove damaged cells.

MICROGLIA mediate fetal congenital malformations caused by Zika virus (ZIKV)

MICROGLIAL cells are a specialised population of macrophages that are found in the central nervous system (CNS).   They remove damaged neurons and infections and are important for maintaining the health of the CNS

MICROGLIA pervade the CNS, including the white and gray matter that constitute the organ’s parenchyma.   Parenchyma the functional tissue of an organ as distinguished from the connective and supporting tissue. 

Other immune cells, including T cells, monocytes, and mast cells, reside in the brain and spinal cord’s outer membranes, known as the meninges, and circulate in cerebrospinal fluid (CSF).

Although the blood-brain barrier protects the nervous system from microorganisms, it may be damaged by bacteria, viruses, fungi, and other organisms. If damage occurs, resistance to infection of the nervous system is decreased.

 The major classes of inflammatory disease are meningitis and encephalitis (infections of the meninges, or covering membranes, of the brain and of the brain itself, respectively) and abscesses, which may be situated outside or just below the meninges or in the brain itself. Some viruses lie almost dormant within neural tissue for years before causing destruction.

CURCUMIN ( TURMERIC ) HAS A PROTECTIVE EFFECT AGAINST ALUMINUM-INDUCED DAMAGE BY MODULATING THE EXTENT OF OXIDATIVE STRESS. 

It also decreases beta-amyloid plaques associated with Alzheimer's, delays neuron degradation, chelates metals, decreases microglia formation, and has an overall anti-inflammatory, antioxidant effect

MICROGLIAL cells are extremely plastic, and undergo a variety of structural changes based on location and system needs.   This level of plasticity is required to fulfill the vast variety of functions that microglia perform.

The ability to transform distinguishes MICROGLIA from macrophages, which must be replaced on a regular basis, and provides them the ability to defend the CNS on extremely short notice without causing immunological disturbance

MICROGLIA—THE SOLE BRAIN-RESIDENT IMMUNE CELLS—PLAY AN ESSENTIAL ROLE IN ANTIVIRAL DEFENSE OF THE BRAIN


DURING INFLAMMATION, MICROGLIA INITIALLY PROTECT THE BARRIER'S INTEGRITY, BUT THEY CAN LATER REVERSE THEIR BEHAVIOR AND INCREASE THE BARRIER'S PERMEABILITY.


WHAT IS MY OLDEST CHILDHOOD MEMORY?

THE SIGHT OF MY AYAH MAKING THE MAIN CURRY INGREDIENT WHICH IS A PASTE OF FRESH TURMERIC AND FRESH GRATED COCONUT.


IT IS DONE WITH SO MUCH OF SHRADDHA, A TIME CONSUMING AFFAIR— TWICE A DAY FOR THE LUNCH AND DINNER CURRIES.  THE INSTRUMENT USED WAS  A GRANITE GRINDER , WE CALL “AMMI “ 


BELOW" THE WET GRINDER.. 

IN MODERN TIMES HOUSE WIVES HAVE DISCARDED THIS CRITICAL KITCHEN TOOL AND HAVE GONE FOR "ELECTRIC GRINDER/ MIXIE" WHICH CANNOT PRODUCE THE SAME COLLOIDAL CONSTITUENCY.


INSTEAD OF FRESH TURMERIC , HOUSEWIVES USE "TURMERIC POWDER" SOLD IN SUPERMARKETS.  


TURMERIC POWDER IN PACKETS AND DESICCATED COCONUT OR COCONUT MILK IN PACKETS DONT HAVE ANY HEALTH BENEFIT..


INSTEAD OF FRESH TURMERIC ,  MODERN HOUSEWIVES USE " CURRY TURMERIC POWDER" SOLD IN SUPERMARKETS.   

YOU SEE WET GRINDING IS A TIME AND ENERGY CONSUMING AFFAIR.. 



WHAT THEY DONT REALISE IS 85% OF HUMAN DISEASES ORIGINATE IN THE GUT..  AS PER AYURVEDA


http://ajitvadakayil.blogspot.com/2011/02/fathers-of-surgery-and-medicine-4200-bc.html



TURMERIC POWDER IN PACKETS AND DESICCATED COCONUT/ COCONUT MILK IN PACKETS DONT HAVE ANY HEALTH BENEFIT..

TURMERIC POWDER SOLD IN PACKETS IS ADULTERATED, USING COLOUR POWDER




BELOW:  THERE WAS A UNIQUE PROFESSION POCK MARKING THIS GRINDER STONE WITH A STEEL CHISEL..

"AMMI KOTTAANUNDO" WAS A CRY WE HEARD IN KERALA ALMOST EVERY DAY.. 

TODAY THIS CRY IS NEVER HEARD.  IT S DEAD !


BELOW: AT 0.18 YOU CAN SEE A MAN POCK MARKING THE GRANITE WITH A CHISEL .. THIS IS DONE EVERY THREE MONTHS..


THERE ARE ONLY TWO HEALTHY OILS/ FATS ---   VIRGIN COCONUT OIL AND GHEE FROM A2 MILK OF HUMPED COW..


BELOW: AT 0.15 YOU CAN SEE THE ROTARY HAND GRINDING STONE.

THIS WAS USED TO GRIND FRESH URAD DHALL FOR IDLI AND DOSA BATTER.

EVEN MEAT CANNOT COMPETE WITH URAD DHALL ( UZHUNNU ) FOR PROTEIN. 

TODAY MODERN HOUSE WIVES BUY READY MADE IDLI BATTER IN PACKETS FROM SUPERMARKETS  -- WHICH IS LOADED WITH HARMFUL PRESERVATIVES



URAD DHALL ( UZHUNNU ) HAS SOLUBLE FIBRE TO KEEP THE GUT HEALTHY..  




THERE IS NOTHING AS HEALTHY AS A MORNING BREAKFAST OF STEAMING IDLI AND FRESH COCONUT /  CURD CHUTNEY.






http://ajitvadakayil.blogspot.com/2012/08/coconut-oil-is-good-for-cooking-ignore.html

MODERN WOMEN ARE UNABLE TO BECOME PREGNANT BECAUSE THEY COOK UNHEALTHY FOODS..   THEIR HUSBANDS CANNOT EVEN GET A HOP/ ERECTION  AND EVEN IF THEY DO THEIR ARE STERILE WITH POOR SPERM COUNT

THEY EAT VEGETABLES GROWN ON CHEMICAL LADEN SOIL, THANKS TO THE GREEN REVOLUTION OF DESH DROHI  BASTARD MS SWAMINATHAN, A JEWISH DEEP STATE AGENT..


FELLOW WITHOUT CHARACTER ,   PM MODI STILL SINGS THE PRAISES OF GUJARATI AMUL / GUJARAT MILK MARKETING FEDERATION STARTED BY DESH DROHI BASTARD VERGHESE KURIAN..   

HAVE YOU EVER HEARD MANN  KE BAATH WITHOUT FELLOW SANS INTEGRITY MODI PRAISING ROTHSCHILDs AGENTS GANDHI / BR AMBEDKAR? 

GUJJU NO 2  HAS TOLD PMO TO IGNORE MORE THAN 500 OF MY CRITICAL SUGGESTIONS..

JEWISH DEEP STATE AGENT KURIANs WHITE REVOLUTION HAS SWITCHED OUR PRICELESS HUMPED COWS WITH "WORSE THAN PIGS " WESTERN HUMPLESS COWS WHICH GIVE TOXIC A1 MILK/ TOXIC DUNG/ TOXIC URINE/  TOXIC MEAT..

A HUMPLESS COW WILL GIVE YOU FIVE TIMES MORE (TOXIC A1) MILK THAN THE (HEALTHY A2 MILK ) HUMPED COW..  KOSHER EVIL PHARMA LAUGHS ALL THE WAY TO THE BANK..


WHY IS INDIA THE NO 1 BEEF EXPORTER ON THE PLANET, EVER SINCE (MANN KE BAATH SPEWING GUJJU NO 2 ) MODI BECAME PM ?   

BECAUSE THE KOSHER WEST WANTS HEALTHY BEEF OF HUMPED VEDIC COW..   TOXIC BEEF OF HUMPLESS COW GIVES THEM BRAIN DISEASES.













THE BIGGEST CULPRIT  OF GLOBAL WARMING IS THE “BEEF LOBBY”.. WESTERN HUMPLESS COW DUNG EMITS NITROUS OXIDE..THE COW FARTS MASSIVE AMOUNTS METHANE.. 


POOR GRETA BABY—  VADAKAYIL DISMANTLED HER.





Read all 7 parts of the post below--

http://ajitvadakayil.blogspot.com/2019/03/india-must-revert-to-organic.html





6200 YEARS AGO CHARAKA SAMHITA RECORDED THE DOUBLED EDGED NATURE OF GOLD NANO PARTICLE COLLOIDS.. 

THE ANCIENT MAHARISHIS KNEW ABOUT MICROGLIAL CELLS AND NEURONAL CELLS..  

THEY DELIVERED GOLD COLLOIDS  WHERE IT WAS REQUIRED-  THIS WAS PERFECT TARGETED DELIVERY.    

EVEN TODAY SCIENTISTS DO NOT KNOW WHAT IS BOVINE SERUM ALBUMIN TO INCREASE  GOLD COLLOIDAL STABILITY AND SURFACE MODIFICATIONS

THE MAHARISHIS EVEN KNEW HOW TO BYPASS THE BLOOD BRAIN BARRIER  AND BLOOD-CSF BARRIER BY NASAL NETI KRIYA ( YOGA ).

THE BLOOD–CEREBROSPINAL FLUID BARRIER (BCSFB) IS A FLUID–BRAIN BARRIER THAT IS COMPOSED OF A PAIR OF MEMBRANES THAT SEPARATE BLOOD FROM CSF AT THE CAPILLARY LEVEL AND CSF FROM BRAIN TISSUE. THE BLOOD–CSF BOUNDARY AT THE CHOROID PLEXUS IS A MEMBRANE COMPOSED OF EPITHELIAL CELLS AND TIGHT JUNCTIONS THAT LINK THEM.

IT WILL TAKE MODERN SCIENCE ANOTHER TWO CENTURIES TO COME TO TERMS WITH ALL THIS.. TILL THEN LET THEM CALL US HINDUS AS SAVAGES.

Intranasal delivery provides a practical, non-invasive method of bypassing the blood-brain barrier (BBB) to deliver therapeutic agents to the brain and spinal cord. This technology allows drugs that do not cross the BBB to be delivered to the central nervous system within minutes.




DIGRESSION:
Snakes use their tongues for collecting chemicals from the air or ground. The tongue does not have receptors to taste or smell. Instead, these receptors are in the vomeronasal, or Jacobson’s Organ, which is in the roof of the mouth. Once inside the Jacobson’s Organ, different chemicals evoke different electrical signals which are relayed to the brain. 

The snake tongue does not move inside the closed mouth, it simply deposits the chemicals it has collected onto pads on the floor of the mouth as the mouth is closing.  Snakes use their forked tongues to help them smell in three dimensions.  

If both tips of the male snake’s tongue fell within the width of the trail, the snake continued slithering straight ahead. However, when one tip or the other fell outside the edge of the trail, the snake turned his head away from that tip and back towards the pheromone trail, and his body followed.



Following this simple rule allowed the snakes to perform trail-following behaviour that was both accurate and directed. If both tongue tips ever touched the ground outside of the trail, the male would stop and swing his head back and forth, tongue-flicking, until he relocated the trail. 

Snakes often wave their tongues in the air without putting them in contact with anything. The tongue creates air vortices, such as those formed in the water behind a boat. Oscillating tongue-flicks are unique to snakes. The tongue then transfers these molecules to the Jacobson’s Organ via the mouth floor.   The king cobra can find and follow females ( for a fuck ) using oscillating tongue-flicks to detect airborne pheromones

http://ajitvadakayil.blogspot.com/2012/07/king-cobra-and-snake-temples-of-kerala.html


WHY AM I TALKING ABOUT SNAKES.


BECAUSE MODERN SCIENTISTS ( CUNTS ) DO NOT UNDERSTAND WHAT I HAVE WRITTEN ABOUT HUMAN BLOOD BRAIN BARRIER.


GOMUTRA NETI KRIYA MUST BE DONE ONLY USING FRESH URINE ( DILUTED WITH PURE GANGES WATER ) OF HUMPED VEDIC COW WHO EAT CLEAN ORGANIC GRASS GROWN IN HUMIC SOIL..  

SHANKHS ( CONCH ) WERE USED TO INFUSE THE LIQUID WITH SCALAR WAVES. AN ATHARVA VEDA MANTRA WAS RECITED FOR PERFECT TARGET DELIVERY..




IF YOU GET CORONAVIRUS, YOU MUST BREATHE GOOD QUALITY AIR DEVOID OF MICROGLIA WEAKENING CARBON NANO PARTICLES WHICH ARE EMITTED BY CNG AND LPG EXHAUSTS.   THE RIGHT PLACE TO BE IS AT A MOUNTAIN TOP .


DEEP STATE PAYROLL INDIAN JUDGES WANT CNG VEHICLES, TO REVIVE THE DEAD CITY OF DETROIT.   TATA IS ALREADY DOING IT.. WATCH THE CUNT JUDGES OPEN THEIR MOUTHS WHEN YOU ASK THEM WHAT IS “MICROGLIA “ 

Gold nano colloids delivered via shankh have inherent intelligence ..  Optical and electric properties, different forms of AuNPs, such as gold nanospheres (GNSs), gold nanorods (GNRs), silica/gold nanoshells, and hollow GNSs, must be studied for biomedical applications including imaging, biosensing, photothermal and microwave therapy, and the delivery of either genes or antitumor drugs for cancer diagnosis and therapy.

After all , modern viruses are created in the lab.. Every time there is a virus epidemic in Congo, Jews pretending to be doctors scour the nation for rare earths and expensive minerals .




MODERN SCIENTIST ( CUNTS REALLY ) MUST KNOW THAT THE WEST IS GRIPPED BY BRAIN DEGRADATION DUE TO EATING HUMPLESS COW BEEF AND PIGS.. 




PRIONS FROM WATER SOAKED GRAVEYARDS (  RELIGION DOES NOT ALLOW CREMATION )  HAVE INVADED THE AQUIFERS.

THEIR ONLY SALVATION IS GOLD NANO COLLOIDS VIA NASAL DELIVERY.    

SEE, I HAVE SAID IT.     NOW SOME JEW WILL USE THIS TO GET A  NOBEL PRIZE.

GOLD PARTICLES ONLY NANOMETERS OR BILLIONTHS OF A METER WIDE TOGETHER WITH EXTREMELY WEAK MICROWAVES / SCALAR WAVES , CAN DISSOLVE THE ABNORMAL PROTEIN CLUMPS LINKED WITH ALZHEIMER'S DISEASE

Below:  Tumor tissue generally has a leaky vasculature, which allows the nanoparticles to accumulate easily. This is also known as the enhanced permeation and retention (EPR) effect



GOLD PARTICLES ONLY NANOMETERS OR BILLIONTHS OF A METER WIDE TOGETHER WITH EXTREMELY WEAK MICROWAVES / SCALAR WAVES , CAN DISSOLVE THE ABNORMAL PROTEIN CLUMPS LINKED WITH ALZHEIMER'S DISEASE

KOSHER EVIL PHARMA DECIMATED THE SNAKE GROVES OF KERALA..   THESE SNAKE GROVES WITH HUMUS LADEN PRISTINE SOIL , WERE AURVEDIC HERB BANKS ..  WE HAVE LOST 90% OF OUR PRICELESS HERBS FOREVER.

EVEN TODAY THERE ARE NO WESTERN CHEMICAL MEDICINES FOR INCREASING BLOOD PLATELET COUNT OR REJUVENATING THE LIVER

THE POST BELOW FOR DENGUE HAS SAVED THE LIVES OF MILLIONS  AROUND THE GLOBE..  IT WAS PENNED 8 YEARS AGO..  IT IS THE THIRD  MOST WIDELY READ POST AMONG MY 1600 POSTS.


KIZHAR NELLI IS FOR JAUNDICE ( LIVER )



INDIAN HINDUS  HAVE BEEN FOOLED BY JEW ROTHSCHILD..   

GARLIC AND ONION BOOST IMMUNITY  .. 




Wash hands your thoroughly and often with soap and water, especially after coughing and sneezing or before eating or it you have been touching surfaces that many other people will have touched such as on the gym/ travel stations
Avoid touching your eyes, nose or mouth, especially with unwashed hands.
Cover your nose and mouth when coughing or sneezing. Cover your mouth with your elbow when coughing
Use disposable tissues and throw them away after use
Clean off surfaces with alcohol- or chlorine-based disinfectants.


Avoid frequenting places where vulnerable people are present (hospitals, maternity wards, old people's homes)
Avoid all non-essential outings (large gatherings, restaurants, cinema)
Workers/Students: as far as possible, choose home working and avoid close contact (meetings, lifts, canteen)


Watch for symptoms of respiratory infection (cough, difficulty breathing)
Wear a surgical mask when you are in front of family/ another person and when you have to go out

Wash your hands regularly or use a sanitiser gel










TO BE CONTINUED --



CAPT AJIT VADAKAYIL
..


WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 15 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 14, BELOW--





OBJECTIVE AI CANNOT HAVE A VISION,   IT CANNOT PRIORITIZE,    IT CANT GLEAN CONTEXT,    IT CANT TELL THE MORAL OF A STORY ,   IT CANT RECOGNIZE A JOKE,    IT CANT DRIVE CHANGE,     IT CANNOT INNOVATE,  IT CANNOT DO ROOT CAUSE ANALYSIS ,   IT CANNOT MULTI-TASK,    IT CANNOT DETECT SARCASM,   IT CANNOT DO DYNAMIC RISK ASSESSMENT ,   IT IS UNABLE TO REFINE OWN KNOWLEDGE TO WISDOM,   IT IS BLIND TO SUBJECTIVITY,   IT CANNOT EVALUATE POTENTIAL,    IT CANNOT SELF IMPROVE WITH EXPERIENCE,    IT DOES NOT UNDERSTAND BASICS OF CAUSE AND EFFECT,    IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,     IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,   IT CANNOT MENTOR,    IT CANNOT BE CREATIVE,   IT CANNOT PATENT AN INVENTION,  IT CANNOT SEE THE BIG PICTURE ,  IT CANNOT FIGURE OUT WHAT IS MORALLY WRONG,  IT CAN BE FOOLED EASILY USING DECOYS WHICH CANT FOOL A CHILD,  IT IS PRONE TO CATASTROPHIC FORGETTING,   IT CANNOT EVEN SET A GOAL …  

ON THE CONTRARY IT CAN SPAWN FOUL AND RUTHLESS GLOBAL FRAUD ( CLIMATE CHANGE DUE TO CO2 ) WITH DELIBERATE BLACK BOX ALGORITHMS,  JUST FEW AMONG MORE THAN 40 CRITICAL INHERENT DEFICIENCIES.


HUMANS HAVE THINGS A COMPUTER CAN NEVER HAVE.. A SUBCONSCIOUS BRAIN LOBE,  REM SLEEP WHICH BACKS UP BETWEEN RIGHT/ LEFT BRAIN LOBES AND FROM AAKASHA BANK,  A GUT WHICH INTUITS,   30 TRILLION BODY CELLS WHICH HOLD MEMORY,   A VAGUS NERVE , AN AMYGDALA ,  73% WATER IN BRAIN FOR MEMORY,  10 BILLION MILES ORGANIC DNA MOBIUS WIRING ETC.



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https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_4.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_25.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_88.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_15.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_94.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/12/what-artificial-intelligence-cannot-do_1.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do_21.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do_27.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do_28.html
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https://ajitvadakayil.blogspot.com/2020/03/what-artificial-intelligence-cannot-do.html



Ransomware attacks are happening in India and it is not being reported.. Cyber awareness training is crucial to detecting attacks

A British student Zain Qaiser (24) from Barking, London was jailed for more than six years at Kingston Crown Court for his ransomware attacks in 2019


A good defense for ISRO against ransomware is the use of whitelisting software that only allows specified programs to be run on the company's computers and therefore blocks malware. If traveling, alert your IT department beforehand, especially if you’re going to be using public wireless Internet. 

Make sure you use a trustworthy Virtual Private Network (VPN) when accessing public Wi-Fi
Few months ago US prosecutors were forced to drop 11 narcotics cases against six suspected drug dealers after crucial case files were lost in a ransomware infection

Few days ago Wool sales across Australia have been halted after Talman, a major software supplier to the industry, was hit by a ransomware attack that encrypted its production databases.  The attackers encrypted certain database files, so that makes the whole system inoperative

The city of Del Rio in Texas was forced to revert to pen and paper systems after a ransomware disabled their servers; and a lone hacker gained access to Capital One's secure network and more than 100 million customer accounts and credit card applications

Ransomware is software that locks down part or all of a website until the owner pays ransom, usually in difficult-to-trace cyber-currency such as Bitcoin.

Ransomware attacks are typically carried out using a Trojan that is disguised as a legitimate file that the user is tricked into downloading or opening when it arrives as an email attachment. However, one high-profile example, the "WannaCry worm", travelled automatically between computers without user interaction

Ransomware is growing rapidly across the internet users but also for the IoT environment

Ransomware attacks are highly profitable and relatively simple for malicious actors to carry out.


Last year there were ransomware attacks on cities, hospitals, businesses and universities. Atlanta spent $2.6 million to restore its systems rather than pay the $52,000 ransom. Ransomware in 2019 cost the healthcare industry alone over $27 billion.


Ransomware is a form of malware in which rogue software code effectively holds a user's computer hostage until a "ransom" fee is paid. Ransomware often infiltrates a PC as a computer worm or Trojan horse that takes advantage of open security vulnerabilities.

It is possible for a Ransomware to spread over a network to your computer. It no longer infects just the mapped and hard drive of your computer system. Virus attacks nowadays can take down the entire network down and result in business disruptions.

Ransomware attacks will become increasingly common as long as there are vulnerable targets and insurance companies behind them. 

Particularly vulnerable are critical network infrastructure entities, like rural power generation and utility companies, small local telephone companies and other mission-critical infrastructure that possibly don’t have the cybersecurity protection that their big city peers might have.

New ransomware like CryptXXX not only encrypts all of your files, but also steals Bitcoins if they're present on your network, as well as stealing other sensitive data.

Ransomware is often spread through phishing emails that contain malicious attachments or through drive-by downloading. Drive-by downloading occurs when a user unknowingly visits an infected website and then malware is downloaded and installed without the user's knowledge.

Cyber criminals are launching ransomware attacks that are specifically targeting industrial control systems (ICS).. File-encrypting malware being built to directly infect computer networks that control operations in manufacturing and utilities environments. Files encrypted are renamed with a random five character file extension, while victims are presented with a ransom note with an email address to contact to negotiate a ransom to be paid in cryptocurrency.   

I n order to protect against ransomware attacks, it's recommended that ICS systems are segmented from the rest of the network, so even if a standard Windows machine is compromised, an attacker can't just move onto systems that control infrastructure. 

Organisations should also ensure that systems are regularly backed up and stored offline; and for ICS operations in particular, backups must include the last known good-configuration data to ensure a swift recovery.  


European law enforcement agency Europol's annual cybercrime report – the Internet Organised Crime Threat Assessment (IOCTA) – lists ransomware as the most widespread and financially damaging cyberattack..  

Cyber criminals are becoming more efficient, picking and choosing their targets with the aim of causing the highest amount of damage possible to organisations in order to demand much higher ransoms. 

Ransom demands are kept secret -.  ransom demands are now exceeding  one million Euros. The  Europol report warns there's a risk of cyber criminals deploying ransomware attacks as a means of pure sabotage.. 

The NotPetya attacks of 2017 showed how much damage can be done by a destructive cyberattack of this kind: in some cases it led to large companies having to almost entirely restore their networks from scratch, suffering large amounts of downtime and large financial costs as a result.

NotPetya looked like ransomware but the group behind it had no interest in receiving ransom payments, the motivation behind the attack was pure destruction. The target for this destruction was Ukraine, but the attack got out of control and spread around the world. 

A form of this ransomware attack emerged earlier this year. Named GermanWiper, the ransomware hit organisations across Germany with attacks that didn't encrypt files, but rewrote the files to destroy them.

Ultimately, it meant that even if a user paid the ransom, they wouldn't get their files back at all – unless they had offline back-ups.

Ransomware itself may have changed but the methods for distributing it have stayed the same over the last year: phishing emails and remote desktop protocols (RDPs) are the primary infection vectors of the malware.

Often, the attackers pushing ransomware are doing so with the aid of known vulnerabilities for which vendors have already issued security updates. Because of this, Europol stresses the importance of patching, especially when it comes to critical vulnerabilities.

The report notes that almost one million devices still haven't been patched against the powerful BlueKeep vulnerability, leaving networks open to attacks using the exploit.

The message from Europol is clear – ransomware and other cyberattacks won't be disappearing any time soon, especially if cyber criminals are able to take advantage of known vulnerabilities and old attacks.

In 2017, the WannaCry ransomware attack hit organizations in over 150 countries around the world, marking the beginning of a new era in cyberattack sophistication. Its success lay in its ability to move laterally through an organization in a matter of seconds while paralysing hard drives, and the incident went on to inspire multiple copycat attacks

Malware is malicious software, which - if able to run - can cause harm in many ways, including:--

causing a device to become locked or unusable
stealing, deleting or encrypting data
taking control of your devices to attack other organisations
obtaining credentials which allow access to your organisation's systems or services that you use
'mining' cryptocurrency
using services that may cost you money (e.g. premium rate phone calls).

Ransomware is a type of malware that prevents you from accessing your computer (or the data that is stored on it). The computer itself may become locked, or the data on it might be stolen, deleted or encrypted. Some ransomware will also try to spread to other machines on the network, such as the Wannacry malware that impacted the NHS in May 2017.

Occasionally malware is presented as ransomware, but after the ransom is paid the files are not decrypted. This is known as wiper malware. For these reasons, it's essential that you always have a recent offline backup of your most important files and data.

Make regular backups

The key action to take to mitigate ransomware is to ensure that you have up-to-date backups of important files; if so, you will be able to recover your data without having to pay a ransom.

Make regular backups of your most important files - it will be different for every organisation - and check that you know how to restore the files from the backup.

Ensure that a backup is kept separate from your network ('offline'), or in a cloud service designed for this purpose - our blog on offline backups in an online world provides useful additional advice for organisations.

Cloud syncing services (like Dropbox, OneDrive and SharePoint, or Google Drive) should not be used as your only backup. This is because they may automatically synchronise immediately after your files have been 'ransomwared', and then you'll lose your synchronised copies as well.

Make sure the device containing your backup (such as an external hard drive or a USB stick) is not permanently connected to your network and that you ideally have multiple copies. An attacker may choose to launch a ransomware attack when they know that the storage containing the backups is connected.

Prevent malware from being delivered to devices

You can reduce the likelihood of malicious content reaching your network through a combination of:-

filtering to only allow file types you would expect to receive
blocking websites that are known to be malicious
actively inspecting content
using signatures to block known malicious code

These are typically done by network services rather than users' devices. Examples include:---

mail filtering (in combination with spam filtering) which can block malicious emails and remove executable attachments
intercepting proxies, which block known-malicious websites
internet security gateways, which can inspect content in certain protocols (including some encrypted protocols) for known malware
safe browsing lists within your web browsers which can prevent access to sites known to be hosting malicious content

Public sector organisations are encouraged to subscribe to the NCSC Protective DNS service; this will prevent users from reaching known malicious sites.

Some ransomware attacks are deployed by attackers who have gained access to networks through remote access software like RDP. You should prevent attackers from being able to brute-force access to your networks through this (or similar) software by either:----

authenticating using Multi-Factor Authentication (MFA)
ensuring users have first connected through a VPN that meets our recommendations.

Prevent malware from running on devices

A 'defence in depth' approach assumes that malware will reach your devices. You should therefore take steps to prevent malware from running. The steps required will vary for each device type and OS , but in general you should look to use device-level security features such as:---

Centrally manage enterprise devices in order to either:-

• only permit applications trusted by the enterprise to run on devices using technologies including AppLocker, or

• only permit the running of applications from trusted app stores (or other trusted locations)

Consider whether enterprise antivirus or anti-malware products are necessary, and keep the software (and its definition files) up to date.

Provide security education and awareness training to your people, for example NCSC's Top Tips For Staff.

Disable or constrain macros in productivity suites, which means:--

• disabling (or constraining) other scripting environments (e.g. PowerShell)

• disabling autorun for mounted media (prevent the use of removable media if it is not needed)

• protect your systems from malicious Microsoft Office macros

In addition, attackers can force their code to execute by exploiting vulnerabilities in the device. Prevent this by keeping devices well-configured and up to date.  


It is recommended that you:--

install security updates as soon as they become available in order to fix exploitable bugs in your products. The NCSC has produced guidance on how to manage vulnerabilities within your organisation
enable automatic updates for operating systems, applications, and firmware if you can
use the latest versions of operating systems and applications to take advantage of the latest security features
configure host-based and network firewalls, disallowing inbound connections by default

The NCSC's End User Devices Security Guidance provides advice on how to achieve this across a variety of platforms.

Limit the impact of infection and enable rapid response

If put in place, the following steps will ensure your incident responders can help your organisation to recover quickly.

Help prevent malware spreading across your organisation by following NCSC guidance on preventing lateral movement. This will help because attackers aim to move across machines on the network. This might include targeting authentication credentials or perhaps abusing built-in tools.

Use two-factor authentication (also known as 2FA) to authenticate users so that if malware steals credentials they can't be reused.

Ensure obsolete platforms (OS and apps) are properly segregated from the rest of the network 

Regularly review and remove user permissions that are no longer required, to limit malware's ability to spread. Malware can only spread to places on your network that infected users' accounts have access to.

System Administrators should avoid using their administrator accounts for email and web browsing, to avoid malware being able to run with their high levels of system privilege.

Architect your network so that management interfaces are minimally exposed (our blog post on protecting management interfaces may help).

Practice good asset management, including keeping track of which versions of software are installed on your devices so that you can target security updates quickly if you need to.

Keep your infrastructure patched, just as you keep your devices patched and prioritise devices performing a security-related function on your network (such as firewalls), and anything on your network boundary.

Develop an incident response plan and exercise it.

Steps to take if your organisation is already infected--
If your organisation has already been infected with malware, these steps may help limit the impact of the infection..

Immediately disconnect the infected computers, laptops or tablets from all network connections, whether wired, wireless or mobile phone based.
Consider whether turning off your Wi-Fi and disabling any core network connections (including switches) might be necessary in a very serious case.
Reset credentials including passwords (especially for administrators) - but verify that you are not locking yourself out of systems that are needed for recovery.
Safely wipe the infected devices and reinstall the operating system.
Before you restore from a backup, verify that it is free from malware and ransomware. You should only restore from a backup if you are very confident that the backup is clean.
Connect devices to a clean network in order to download, install and update the operating system and all other software.
Install, update, and run antivirus software.
Reconnect to your network.
Monitor network traffic and run antivirus scans to identify if any infection remains.


Note: Files encrypted by most ransomware have no way of being decrypted by anyone other than the attacker. 

Don't waste your time or money on services that promise to do it. In some cases, security professionals have produced tools that can decrypt files due to weaknesses in the malware (which may be able to recover some data), but you should take precautions before running unknown tools on your devices.


2020 will likely see an increase in mobile threats, with hackers taking advantage of unsecured public Wi-Fi networks to tap into users’ web sessions and steal identity data and log-ins. 

Hackers will be ramping up attacks that target users’ smartphones and tablets, using malware hidden in ordinary-looking apps that users download unwittingly – just the first half of 2019 saw a 50% increase in mobile banking malware compared with 2018, for example, with users losing payment data, credentials and money to cyber attackers. 

Even public charging points can be stocked with malware by attackers. In 2020, the devices we use most frequently will become an increasingly popular attack surface.




Phishing will get even more sophisticated. Most cyber attacks today generally begin with a successful phishing attack. According to Microsoft, the number of inbound phishing emails more than doubled in 2019.   

In 2020, you can expect to see attackers continue to use targeted spear phishing attacks in big numbers, as open source intelligence (OSINT) tools like Maltego and the vast amount of personal data available on sites like LinkedIn and Facebook enable attackers to create ever more convincing phishing emails.

Worms make a comeback. Worms have always been popular because they self-replicate, helping hackers spread attacks without the need for user interaction. Following the drastic warning of the WannaCry ransomware cryptoworm attacks of 2017 that caused billions of dollars of damage, industry should have become a lot more vigilant.

However, 2020 presents a new playing field for worms in the shape of Bluekeep, a Microsoft flaw that affects computers and server operating systems and can let attackers remotely run malware or ransomware on vulnerable computers.

AI and ML. 2020 will also see attackers increasingly use artificial intelligence (AI) and machine learning (ML) to scale up attacks past general human ability to recognize or respond to them. AI and ML enable malicious programs to learn to attack things by themselves and make cyber attacks quicker and easier to carry out.

Using AI, an attacker can carry out multiple and repeated attacks on a network by programming a few lines of code to perform most of the work.  Hackers are turning to AI and using it to weaponize malware and attacks to counter the advancements made in cybersecurity solutions

The usual golden rules apply. IT and OT cybersecurity should be assessed at board level and managed as part of your critical business strategy and your organization’s corporate risk management. Don’t get carried away spending on new tech and shiny boxes; focus on finding a balance between spending on response and training as well as pre-emptive defense and detection.

Companies should work to combine ML with statistical analysis to predict attacks. ML and analytics can help you uncover cyber attackers’ underlying attack patterns, thereby enabling an AI system to predict attackers’ next moves, evaluate where a subsequent attack is most likely to occur and even determine which threat actors are the most likely originators.

Never assume, always prepare

Never assume you will not be the victim of a big data breach or major hack – your company will always need to have managed threat management and intelligence in place as well as detection and response systems and services. Be careful out there.





NATURAL LANGUAGE PROCESSING:   A specific ML approach that helps computers understand,  interpret, and manipulate human language. It does this by breaking down language into shorter pieces and  discovering how the pieces fit together to create meaning.   Natural language processing enables commonly  used services such as Google Translate and chatbots.

NLP is not Neuro Linguistic Programming,  a work of charlatans




Text mining (also referred to as text analytics) is an artificial intelligence (AI) technology that uses natural language processing (NLP) to transform the free (unstructured) text in documents and databases into normalized, structured data suitable for analysis or to drive machine learning (ML) algorithms. text mining is the process of examining large collections of documents to discover new information or help answer specific research questions. 

Text mining identifies facts, relationships and assertions that would otherwise remain buried in the mass of textual big data. Once extracted, this information is converted into a structured form that can be further analyzed, or presented directly using clustered HTML tables, mind maps, charts, etc. Text mining employs a variety of methodologies to process the text, one of the most important of these being Natural Language Processing (NLP).

Cognitive Computing – describes platforms that combine artificial intelligence with all other aspects of cognitive cycle – like perception, reasoning and optimizing decisions – that collectively approaches human-level cognitive dynamics. They encompass disciplines such as machine learning, natural language processing (NLP) and computer vision among others.

The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable

NLP is the ability to extract or generate meaning and intent from text in a readable, stylistically natural, and grammatically correct form.
  
Natural Language Understanding (NLU) – a sub-field of natural language processing (NLP).  It  deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem.  

Its application involves automated reasoning,  machine translation,  question answering,  news-gathering, text categorization, voice-activation, archiving, and large-scale content analysis.
Natural Language Understanding (NLU) is the comprehension by computers of the structure and meaning of human language (e.g., English, Spanish, Japanese), allowing users to interact with the computer using natural sentences”. 

In other words, NLU is Artificial Intelligence that uses computer software to interpret text and any type of unstructured data. NLU can digest a text, translate it into computer language and produce an output in a language that humans can understand.

NLU and natural language processing (NLP) are often confused. Instead they are different parts of the same process of natural language elaboration. Indeed, NLU is a component of NLP. More precisely, it is a subset of the understanding and comprehension part of natural language processing.

Natural language understanding interprets the meaning that the user communicates and classifies it into proper intents. For example, it is relatively easy for humans who speak the same language to understand each other, although mispronunciations, choice of vocabulary or phrasings may complicate this. 

NLU is responsible for this task of distinguishing what is meant by applying a range of processes such as text categorization, content analysis and sentiment analysis, which enables the machine to handle different inputs.

On the other hand, natural language processing is an umbrella term to explain the whole process of turning unstructured data into structured data. NLP helps technology to engage in communication using natural human language. As a result, we now have the opportunity to establish a conversation with virtual technology in order to accomplish tasks and answer questions.



Natural language generation (NLG) is the process of artificial intelligence interpreting data and presenting or displaying the data in a digestible, easily understood manner. These tools are used when processing large data sets, structured or unstructured, to create business actions based on the data.

It involves using databases to derive semantic intentions and convert them into human language. Natural-language generation (NLG) is a software process that transforms structured data into natural language. It can be used to produce long form content for organizations to automate custom reports, as well as produce custom content for a web or mobile application. 

It can also be used to generate short blurbs of text in interactive conversations (a chatbot) which might even be read out by a text-to-speech system.


Automated NLG can be compared to the process humans use when they turn ideas into writing or speech.

It can be described in mathematical terms, or modeled in a computer for psychological research. NLG systems can also be compared to translators of artificial computer languages, such as decompilers or transpilers, which also produce human-readable code generated from an intermediate representation. 

Human languages tend to be considerably more complex and allow for much more ambiguity and variety of expression than programming languages, which makes NLG more challenging.

Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks.  T-NLG is a Transformer-based generative language model, which means it can generate words to complete open-ended textual tasks. 

In addition to completing an unfinished sentence, it can generate direct answers to questions and summaries of input documents. Generative models like T-NLG are important for NLP tasks since the goal is to respond as directly, accurately, and fluently as humans can in any situation. With T-NLG we can naturally summarize or answer questions about a personal document or email thread.



NLG addresses a different problem set than NLP/NLU, as the focus is on giving voice to data. Specifically, NLG is meant to extract actionable insights from vast amounts of data.  We don’t normally think about voice-enabling data, but the output is similar what text-to-speech produces. That is, the content is converted to a different format that in many cases is easier to consume, and makes the underlying content more valuable.

Whereas NLP/NLU works with unstructured data – voice – NLG works with data, which is highly structured. Rather than focus on the challenges of removing ambiguity from language and understanding intent, NLG applies AI to create narratives around the data, which can then be consumed either in text or voice form. NLG platforms can provide workers with a personal virtual analyst to manage various forms of data that otherwise require human effort.

NLG is tailor-made to help workers get the most from the data that touches almost every aspect of their jobs.

T-NLG is a Transformer-based generative language model, which means it can generate words to complete open-ended textual tasks. In addition to completing an unfinished sentence, it can generate direct answers to questions and summaries of input documents

Scalability of AI, -- NLG can process vast amounts of data, so the tools are there to generate new and richer insights that a manual effort could easily miss. Add to that the speed of AI, where the benefit is the ability to generate reports faster than humans can do. Not only that, but this means that reports can be dynamically updated on the fly, such as when tallying real-time data for a survey poll.

AI is a branch of computer science that aims to produce intelligent machines that have the characteristics of a human like learning, perception, recognition, planning, problem solving and reasoning. ..

Artificial intelligence technologies are utilized in pattern recognition that understands languages spoken by human beings and handwriting and in machine translation systems.

AI studies human intelligence and aims at embedding intelligent behavior, learning, and adaptation capabilities into machines. .. It has capacities for self-learning. ..This is the process of simulating human intelligence in machines. It includes the different skills of humans like problem solving, reasoning, knowledge gaining, learning, planning, manipulating, and perception..

AI deals with intelligent behaviour, learning, and adaptation in machines. . It is designed to exhibit features of human intelligence, including for example being able understand questions via natural language (human speech), solve complex problems and present reasoning, and output answers using natural language..

Machine learning is the best tool so far to analyze, understand and identify a pattern in the data. Machine learning provides machines the ability to learn automatically by feeding it tons of data & allowing it to improve through experience. Thus, Machine Learning is a practice of getting Machines to solve problems by gaining the ability to think.

The distinctive feature of AI is that the machine can go beyond its code and "learn" new things and thus outgrow its original programming.
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Machine learning is much better at doing certain things than people, just as a dog is much better at finding drugs than people, but you wouldn’t convict someone on a dog’s evidence. And dogs are much more intelligent than any machine learning.

Until about 2013, If you wanted to make a software system that could, say, recognise a cat in a photo, you would write logical steps. You’d make something that looked for edges in an image, and an eye detector, and a texture analyser for fur, and try to count legs, and so on, and you’d bolt them all together... and it would never really work. Conceptually, this is rather like trying to make a mechanical horse - it’s possible in theory, but in practice the complexity is too great for us to be able to describe. You end up with hundreds or thousands of hand-written rules without getting a working model.

With machine learning, we don’t use hand-written rules to recognise X or Y. Instead, we take a thousand examples of X and a thousand examples of Y, and we get the computer to build a model based on statistical analysis of those examples. Then we can give that model a new data point and it says, with a given degree of accuracy, whether it fits example set X or example set Y. Machine learning uses data to generate a model, rather than a human being writing the model. This produces startlingly good results, particularly for recognition or pattern-finding problems, and this is the reason why the whole tech industry is being remade around machine learning.

Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.

Machine learning systems are not interchangeable, even in a narrow application like image recognition. You have to tune the structure of the system, sometimes just by trial and error, to be good at spotting the particular features in the data that you’re interested in, until you get to the desired degree of accuracy

People aren’t doing the statistical analysis directly anymore - it’s being done by machines, that generate models of great complexity and size that are not straightforward to analyse.

Machine learning is the best tool so far to analyze, understand and identify a pattern in the data. One of the main ideas behind machine learning is that the computer can be trained to automate tasks that would be exhaustive or impossible for a human being. The clear breach from the traditional analysis is that machine learning can take decisions with minimal human intervention.

The idea behind machine learning is that the machine can learn without human intervention. The machine needs to find a way to learn how to solve a task given the data.   Machine Learning systems can learn on their own, but only by recognizing patterns in large datasets and making decisions based on similar situations.  Machine Learning is dependent on large amounts of data to be able to predict outcomes.

If there are few or no structured inputs to extract patterns, Machine Learning systems can’t solve a new problem that has no apparent relation to its prior knowledge.



Again, the idea behind machine learning is that the machine can learn without human intervention. The machine needs to find a way to learn how to solve a task given the data.

Learning without any kind of supervision requires an ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions.

Computerized reasoning is insight shown by machines, rather than the characteristic knowledge showed by people  Using processes like neural network technology and machine learning, AI attaches an intelligent or smart capacity to machines. Modern healthcare, telecoms, management, and financial industries of today all employ AI for many of their business processes.

AI market is expected to become a $ 200 billion industry by 2025.  Chatbots will power 88% of customer service by 2020

Within AI and next to ML there are the fields of robotics, speech recognition, computer vision, etc., which are key building blocks towards enabling machine intelligence.

Government agencies such as public safety and utilities have a particular need for machine learning since they have multiple sources of data that can be mined for insights.

Given the complexity of financial fraud, and the speed at which cybercriminals adapt, a combination of supervised and unsupervised machine learning methods are needed to create a model with sufficient predictive capability and accuracy.

Machine learning models operate with tens of thousands of parameters and are far more effective in finding subtle correlations in data, which may be hidden for an expert system, or a human reviewer.

The biggest problem with machine learning systems is that we ourselves don't quite understand everything they're supposedly learning, nor are we certain they're learning everything they should or could be. We've created systems that draw mostly, though never entirely, correct inferences from ordinary data, by way of logic that is by no means obvious.

The whole point of machine learning is to infer the relationships between objects when, unlike the tides, it isn't already clear to human beings what those relationships are. Machine learning is put to use when linear regression or best-fit curves are insufficient -- when math can't explain the relationship.

But perhaps that should have been our first clue: If no mathematical correlation exists, then shouldn't any other kind of relationship we can extrapolate be naturally weaker? Does a relationship exist, for instance, between a certain tech journalist with a goatee and any recorded inferences from suspected, goatee-wearing watch-list terrorists? And if there does exist such a relationship, should it?
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With an AI that can examine thousands of scans in a minute, the “dull drudgery” is left to machines, and the doctors are freed to concentrate on the parts of the job that require more complex, subtle, experience-based judgment of the best treatments and the needs of the patient.

Explainability, meanwhile, is the extent to which the internal mechanics of a machine or deep learning system can be explained in human terms. It’s easy to miss the subtle difference with interpretability, but consider it like this: interpretability is about being able to discern the mechanics without necessarily knowing why. Explainability is being able to quite literally explain what is happening.


Data gathering. All machine learning models require data as inputs. In today’s increasingly digitized world, data can be derived from various sources including user interactions on a website, collections of photo images and sensor recordings.

Data preparation. Data collected are rarely in a usable state as-is. Data often need to be cleaned, transformed and checked for errors before they are ready to be fed into a model.

Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is an important step prior to processing and often involves reformatting data, making corrections to data and the combining of data sets to enrich data

Data preparation is the act of manipulating (or pre-processing) raw data (which may come from disparate data sources) into a form that can readily and accurately be analysed, e.g. for business purposes.

Data preparation is the first step in data analytics projects and can include many discrete tasks such as loading data or data ingestion, data fusion, data cleaning, data augmentation, and data delivery.

The issues to be dealt with fall into two main categories:--

systematic errors involving large numbers of data records, probably because they have come from different sources;

individual errors affecting small numbers of data records, probably due to errors in the original data entry.

Data Preparation involves checking or logging the data in; checking the data for accuracy; entering the data into the computer; transforming the data, and developing and documenting a database structure that integrates the various measures.

There are a wide variety of ways to enter the data into the computer for analysis. Probably the easiest is to just type the data in directly. In order to assure a high level of data accuracy, the analyst should use a procedure called double entry. In this procedure you enter the data once.

Then, you use a special program that allows you to enter the data a second time and checks each second entry against the first. If there is a discrepancy, the program notifies the user and allows the user to determine the correct entry. This double entry procedure significantly reduces entry errors.

Data preparation is a pre-processing step that involves cleansing, transforming, and consolidating data. In other words, it is a process that involves connecting to one or many different data sources, cleaning dirty data, reformatting or restructuring data, and finally merging this data to be consumed for analysis. More often than not, this is the most time consuming step of the entire analysis life cycle and the speed and efficiency of the data prep process directly impacts the time it takes to discover insights.

Cleaning up messy data involves tasks such as:--

Merging: Combine/enrich relevant data from different datasets into a new dataset
Appending: Combine two smaller (but similar) datasets into a larger dataset
Filtering: Rule-based narrowing of a larger dataset into a smaller dataset
Deduping: Remove duplicates based on specific criteria as defined
Cleansing: Edit or replace values, i.e. some records had “F” as gender while others had “Female”; alter to have “Female” for all records or set NULL values to a default value
Transforming: Convert missing values or derive a new column from existing column(s)
Aggregating: Roll up data to have summarized data for analysis

Sampling & Partitioning: This involves breaking down the entire dataset into a smaller set of sample data to reduce the size of the training data. These samples are then used for training, testing, and validating the model. It is important to ensure that the sample set includes data covering various scenarios to ensure the model is trained accordingly and not end up with a biased or inaccurate model.

Data becomes a precious resource only if it is cleansed, well-labeled, annotated, and prepared. Once the data goes through various stages of fitness tests it then finally becomes qualified for further processing. The processing could be of several methods - data ingested to BI tools, CRM database, developing algorithms for analytical models, data management tools and so on.

More than 80% of a data scientist’s time is spent on preparing the data.

Data scientists should ideally be spending more of their time interacting with data, advanced analytics, training and evaluating the model, and deploy to production.

Only 20% of the time goes into the major chunk of the process. In order to overcome time constraints, organizations need to reduce the time taken (varies depending on the complexity of the project) on cleansing, augmenting, labeling and enriching the data by leveraging expert solutions for data engineering, labeling, and preparation.

This brings us to the concept of Garbage in garbage out i.e. the quality of output is determined by the quality of the input.

The Data Preparation Process—
Here’s a quick brief of the data preparation process specific to machine learning models:--

Data extraction the first stage of the data workflow is the extraction process which is typically retrieval of data from unstructured sources like web pages, PDF documents, spool files, emails, etc. The process deployed in extracting the information from the web is termed as web scraping.

Data profiling is the process of reviewing existing data to improve the quality and bring structure through a format. This helps in assessing the quality and coherence to particular standards. Most machine learning models fail to work when the datasets are imbalanced and not well-profiled.

Data cleansing ensures data is clean, comprehensive, error-free with accurate information as it helps in detecting outliers not only for texts and numeric but also irrelevant pixels from images. You can eliminate bias and obsolete information to ensure your data is clean.

Data transformation is transforming data to make it homogeneous. Data like addresses, names, and other field types are represented in different formats and data transformation helps in standardizing and normalizing this.

Data anonymization is the process of removing or encrypting personal information from the datasets to protect privacy.

Data augmentation is used to diversify the data available for your training models. Bringing in additional information without extracting new information includes cropping and padding to train neural networks.

Data sampling Identify representative subsets from large datasets to analyze and manipulate data.

Feature engineering is a major determinant of classifying a machine learning model as a good or a bad model. To improve the model accuracy you would combine datasets to consolidate it into one.

Data Labeling - An essential and integral part of data preparation   .. Labeling is simply assigning tags to a set of unlabeled data to make it more identifiable for predictive analysis. 

These labels indicate whether the animal in the photo is a dog or a fox ..

Labeling helps the machine learning model to guess and predict a piece of unlabeled data as a result of feeding the model with millions of labeled data.

Poor data and good models are a bad combination that can ruin the efficiency and performance of the model you intend to build.

There are a plenty of data preparation solutions available out there that can help you save time and achieve efficiency. Though there are self-service data preparation tools available out there in the market, the managed services slightly have an edge over them considering the scalability of the in-house infrastructure, leveraging vast data collection from disparate sources, compliance to various data norms and guidelines, getting expert assistance as and when needed.


Data preprocessing is a data mining technique that involves transforming raw data into an understandable format. Real-world data is often incomplete, inconsistent, and/or lacking in certain behaviors or trends, and is likely to contain many errors.

Steps Of data preprocessing:--
Data cleaning: fill in missing values, smooth noisy data, identify or remove outliers, and resolve inconsistencies.
Data integration: using multiple databases, data cubes, or files.
Data transformation: normalization and aggregation.

Data Generalization is the process of creating successive layers of summary data in an evaluational database. It is a process of zooming out to get a broader view of a problem, trend or situation. It is also known as rolling-up data.

The training data is used to make sure the machine recognizes patterns in the data, the cross-validation data is used to ensure better accuracy and efficiency of the algorithm used to train the machine, and the test data is used to see how well the machine can predict new answers based on its training

Dataset is split into training and testing sets. The training dataset is used to build and train the model while the testing dataset, which is kept separate, is used to evaluate how well the model performs. It is important to assess the model on data it has not seen before in order to ensure that it has indeed learned something about the underlying structure of the data rather than simply “memorized” the training data.

Training data's output is available to model whereas testing data is the unseen data for which predictions have to be made.

In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data.  Such algorithms work by making data-driven predictions or decisions,through building a mathematical model from input data. 

The data used to build the final model usually comes from multiple datasets. In particular, three data sets are commonly used in different stages of the creation of the model.

The model is initially fit on a training dataset,  that is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. The model (e.g. a neural net or a naive Bayes classifier) is trained on the training dataset using a supervised learning method (e.g. gradient descent or stochastic gradient descent). 

In practice, the training dataset often consists of pairs of an input vector (or scalar) and the corresponding output vector (or scalar), which is commonly denoted as the target (or label). The current model is run with the training dataset and produces a result, which is then compared with the target, for each input vector in the training dataset. 

Based on the result of the comparison and the specific learning algorithm being used, the parameters of the model are adjusted. The model fitting can include both variable selection and parameter estimation.

Successively, the fitted model is used to predict the responses for the observations in a second dataset called the validation dataset. The validation dataset provides an unbiased evaluation of a model fit on the training dataset while tuning the model's hyperparameters  (e.g. the number of hidden units in a neural network . 

Validation datasets can be used for regularization by early stopping: stop training when the error on the validation dataset increases, as this is a sign of overfitting to the training dataset. This simple procedure is complicated in practice by the fact that the validation dataset's error may fluctuate during training, producing multiple local minima. This complication has led to the creation of many ad-hoc rules for deciding when overfitting has truly begun. 

Finally, the test dataset is a dataset used to provide an unbiased evaluation of a final model fit on the training dataset . If the data in the test dataset has never been used in training (for example in cross-validation), the test dataset is also called a holdout dataset.


 Fit and train models. This is the step where various types of ML models such as regression models, random forests and neural networks are built and applied to the training data. Models are iterated on by making small adjustments to their parameters in order to improve their performance with the goal of generating the most accurate predictions possible.

Evaluate model on the test dataset. The top performing model is used on the testing data to get a sense of how the model will perform on real world data it’s never seen before. Based on the results, further refinement and tuning of the model may be needed.

Make predictions! Once the model is finalized, it can begin to be used to answer the question it was designed for.

If the data available is that there are more women homemakers and more men computer programmers, and the mathematical model the machine is building is actually taking that distribution into account you end up with distributions you don't want to promote. 

A 50/50 distribution between males and females reflects the desired result in the absence of any other information, but the distribution in the data has a higher proportion of women associated with one class than men.

The desired value judgments must be added in or results filtered by an external process, because the math doesn't tell the machine learning algorithm how to differentiate.

AI, machine learning and deep learning can produce dangerous results if unchecked by extrapolating outdated mores to predict the future. The result would be the perpetuation of unjust perceptions of the past. Any responsible AI technology must be aware of these limitations and take the steps to avoid them.


One concept that could compromise ML is known as poisoning the well.

This is where malicious actors take advantage of the machine learning process and taint the data pool from which these systems learn how to identify malicious code.

By inserting fraudulent code into the process, attackers can cause a system to generate false positives, undermining its intended functionality.
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Google’s Android operating system is an open book. Its Play Store is a neutral platform, making it easy for tech vendors and app developers to post wares for download. However, some malicious actors have exploited the platform’s open structure through malware

Google announced that it has removed around 600 apps from the Play Store as a part of a protracted effort to clamp down on groups that have violated the company’s disruptive ad policy. The purged apps collectively account for over 4.5 billion downloads

Once a computer is infected by malware, criminals can hurt consumers and enterprises in many ways.

Deepfakes can be leveraged in targeted malicious attacks to extort or manipulate perception and truth.
Microsoft was able to successfully implement ML (built into Windows Defense AV) to detect and mitigate Emotet malware. Emotet is a mature threat that is well known for its polymorphic capabilities, making it next to impossible to detect the next variant in the campaign using signature-based strategies.

Detection of Emotet using AI was achieved through modeling in a decision tree, related to probabilities, weighted components and calculations performed by the tool. It also included real-time cloud machine learning across the Windows Defender complex ML models. This enabled deep learning and real-time protection within an AI solution set to successfully detect and block Emotet.

AI must be adopted and implemented in a well-considered, deliberate fashion with an initial emphasis on manual execution and consistently capable outcomes. Once this is accomplished organizations can then implement components of orchestration and automation towards long-term AI goals.

The use of ML/AI today is best performed to streamline operations in a big data world that’s constantly changing. Shoddy implementation is a far greater threat than actual AI-empowered malware today.

As AI becomes a greater presence in the cybersecurity landscape, how organizations position and defend will separate survivors from victims. This is especially true for organizations that embrace the need to transform, leveraging AI to help wade through big data, contextualized modeling and decisions that need to be made to operationalize future security

Major banks throughout Asia were hit by hackers deploying a malicious code, named Silence Malware, on the banks’ networks; Facebook was the victim of an attack that exposed 540 million records about Facebook users and published them on Amazon's cloud computing service.

Security researchers found four billion records from 1.2 billion people on an unsecured Elasticsearch server; the UK’s Labour Party reported it was hit with two DDoS cyber-attacks in the run up to the country’s general election;. 2019 was also the year of deepfakes, with 2% of deepfake videos on YouTube featuring corporate figures.

CYBERSECURITY SOLUTIONS THAT RELY ON ML USE DATA FROM PRIOR CYBER-ATTACKS TO RESPOND TO NEWER BUT SOMEWHAT SIMILAR RISKS.. FALSE FLAG ATTACKS POISON THE SYSTEM

In this way, an AI system powered by ML can leverage what it knows and understands about past attacks and threats to identify other attacks in the same vein or style.

Because hackers are consistently building upon older threats – including new abilities or tweaking previously used samples to build out a malware family – utilizing AI and ML systems to look out for and provide notification of emerging attacks could be beneficial to stemming the tide of zero-day threats.

In information technology a reasoning system is a software system that generates conclusions from available knowledge using logical techniques such as deduction and induction. Reasoning systems play an important role in the implementation of artificial intelligence and knowledge-based systems.

By the everyday usage definition of the phrase, all computer systems are reasoning systems in that they all automate some type of logic or decision. In typical use in the Information Technology field however, the phrase is usually reserved for systems that perform more complex kinds of reasoning.

For example, not for systems that do fairly straightforward types of reasoning such as calculating a sales tax or customer discount but making logical inferences about a medical diagnosis or mathematical theorem.

Reasoning systems come in two modes: interactive and batch processing. Interactive systems interface with the user to ask clarifying questions or otherwise allow the user to guide the reasoning process. Batch systems take in all the available information at once and generate the best answer possible without user feedback or guidance.

Reasoning systems have a wide field of application that includes scheduling, business rule processing, problem solving, complex event processing, intrusion detection, predictive analytics, robotics, computer vision, and natural language processing.

Conventional, data-crunching artificial intelligence, which is the foundation of deep learning, isn’t enough on its own; the human-like reasoning of symbolic artificial intelligence is fascinating, but on its own, it isn’t enough either.

The unique hybrid combination of the two — numeric data analytics techniques that include statistical analysis, modeling, and machine learning, plus the explainability (and transparency) of symbolic artificial intelligence — is now termed “cognitive AI.”

A Cognitive computer or system learn at scale, reasons with purpose and interacts with humans naturally. Rather than being explicitly programmed, these systems learn and reason from their interactions with human beings and their experiences with their environment. Cognitive computing overlaps with Artificial Intelligence and involves similar technologies to power cognitive applications.

Using cognitive computing systems helps in making better human decisions at work. Some of the applications of cognitive computing include speech recognition, sentiment analysis, face detection, risk assessment, and fraud detection.


Cognitive computing systems synthesize data from various information sources while weighing context and conflicting evidence to suggest suitable answers. To achieve this, cognitive systems include self-learning technologies using data mining, pattern recognition, and natural language processing (NLP) to understand the way the human brain works.

Key Attributes--
Adaptive: Cognitive systems must be flexible enough to understand the changes in the information. Also, the systems must be able to digest dynamic data in real-time and make adjustments as the data and environment change.

Interactive: Human-computer interaction (HCI) is a critical component in cognitive systems. Users must be able to interact with cognitive machines and define their needs as those needs change. The technologies must also be able to interact with other processors, devices and cloud platforms.

Iterative and stateful: Also, these systems must be able to identify problems by asking questions or pulling in additional data if the problem is incomplete. The systems do this by maintaining information about similar situations that have previously occurred.

Contextual: Cognitive systems must understand, identify and mine contextual data, such as syntax, time, location, domain, requirements, a specific user’s profile, tasks or goals. They may draw on multiple sources of information, including structured and unstructured data and visual, auditory or sensor data.

AI augments human thinking to solve complex problems. ... Cognitive Computing focuses on mimicking human behavior and reasoning to solve complex problems. Cognitive Computing tries to replicate how humans would solve problems while AI seeks to create new ways to solve problems that can potentially be better than humans

Cognitive computing is a subset of AI and although the underlying purpose for both these technologies is to simplify tasks, the difference lies in the way they approach tasks. AI is used to augment human thinking and solve complex problems

Cognitive computing describes technologies that are based on the scientific principles behind artificial intelligence and signal processing, encompassing machine self-learning, human-computer interaction, natural language processing, data mining and more.

Cognitive Computing focuses on mimicking human behavior and reasoning to solve complex problems. AI augments human thinking to solve complex problems. It focuses on providing accurate results. It simulates human thought processes to find solutions to complex problems

AI augments human thinking to solve complex problems. It focuses on accurately reflecting reality and providing accurate results. Cognitive Computing focuses on mimicking human behavior and reasoning to solve complex problems.

Cognitive computing  combines  the power of computational processing with the power of human thinking. ... The Cognitive data scientist has the ability of use, customize or develop cognitive approach to solve problems or improve results


PROFORMA:  Cognitive Computing            // Artificial Intelligence

Cognitive Computing focuses on mimicking human behavior and reasoning to solve complex problems.   //AI augments human thinking to solve complex problems. It focuses on providing accurate results.

CC simulates human thought processes to find solutions to complex problems.       //AI finds patterns to learn or reveal hidden information and find solutions.

CC simply supplement information for humans to make decisions.// AI is responsible for making decisions on their own minimizing the role of humans.

CC is mostly used in sectors like customer service, health care, industries, etc.        // AI is mostly used in finance, security, healthcare, retail, manufacturing, etc.


An advanced application of cognitive modeling is the creation of cognitive machines, which are AI programs that approximate some areas of human cognition



Applications of Cognitive AI--
Smart IoT: This includes connecting and optimizing devices, data and the IoT.  But assuming we get more sensors and devices, the real key is what’s going to connect them.

AI-Enabled Cybersecurity: We can fight the cyber-attacks with the use of data security encryption and enhanced situational awareness powered by AI. This will provide a document, data, and network locking using smart distributed data secured by an AI key.

Content AI: A solution powered by cognitive intelligence continuously learns and reasons and can simultaneously integrate location, time of day, user habits, semantic intensity, intent, sentiment, social media, contextual awareness, and other personal attributes

Cognitive Analytics in Healthcare: The technology implements human-like reasoning software functions that perform deductive, inductive and abductive analysis for life sciences applications.

Intent-Based NLP: Cognitive intelligence can help a business become more analytical in their approach to management and decision making. This will work as the next step from machine learning and the future applications of AI will incline towards using this for performing logical reasoning and analysis.

What are the business benefits of cognitive computing?

Improved data collection and interpretation: Cognitive computing applications analyze patterns and apply machine learning to replicate human capabilities such as deduction, learning, perception and reasoning. Both structured and unstructured data can be collected from diverse sources, and in-depth cognitive analytics are applied to interpret the data. 

That information can then be used to improve visibility into internal processes, how your products and services are being received, what your customers’ preferences are and how best to build their loyalty.

Troubleshooting and error detection: By applying cognitive concepts to a robust technological environment, cognitive computing can help you more quickly and accurately identify issues in business processes and uncover opportunities for solutions.

More informed decision-making: Through its data collection and analysis capabilities, cognitive computing allows for more informed, strategic decision-making and business intelligence. This can lead to more efficient business processes, smarter financial decisions, and overall improved efficiency and cost savings.

Improved customer retention: Cognitive computing sets the stage for a more helpful, informed customer-to-technology experience, improving customer interactions. Its ability to interact with and understand and learn from humans greatly improves overall customer retention and satisfaction.
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Cognitive Computing. is a platform that represents a new era of computing based on its ability to interact in natural language, process vast amounts of disparate forms of big data and learn from each interaction..  cognitive era is a merger of the immense strengths of computers with the current capabilities of their human operators



Cognitive analytics is considered as cutting edge framework that chats in human dialect and causes specialists to settle on better choices by understanding the complexities of huge information. In the present situation, the vast majority of the information got is unstructured, for example, pictures, recordings, normal dialect and images. 

Cognitive analytics, with the assistance of various advances, for example, characteristic dialect handling, machine learning and robotized thinking, makes an interpretation of unstructured information to detect, induce and foresee the best arrangement.

cognitive analytics have a unique way of approaching toward an information where it reveals patterns, connections and juxtaposition of unpredicted insights. These processes will assist in bringing out possibilities and will be managed by autonomous and self-learning platforms. The self-learning pattern of cognitive enterprise will pave the way in leveraging multifaceted technologies as, internet of things



The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.


The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to enabling the Internet of things. 



In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the "smart home", covering devices and appliances (such as lighting fixtures, thermostats, home security systems and cameras, and other home appliances) that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers.

Cognitive analytics is a field of analytics that tries to mimic the human brain by draw inferences from existing data and patterns, draws conclusions based on existing knowledge bases and then inserts this back into the knowledge base for future inferences - a self learning feedback loop.

When you harness the power of analytics, automation, and artificial intelligence (AI), you can uncover hidden relationships from vast amounts of data. Implementing the right strategy and technology will balance speed, cost, and quality to deliver measurable business value. 

Deep Reasoning is the field of enabling machines to understand implicit relationships between different things. For example, consider the following: “all animals drink water. Cats are animals”. Here, the implicit relationship is that all cats drink water, but that was never explicitly stated. 

Turns out humans are really good at this kind of relational reasoning and understanding how different things relate to one another, but it doesn’t come so easily to computers which operate on strict, explicit rules. Deep reasoning allows AI to understand abstract relationships between different ‘things’.

A “relation network” module can easily be plugged into a deep learning model to give it relational reasoning capabilities.

They did this using 3 networks:---
A Long-Short-Term-Memory (LSTM) network for processing the question
A convolutional neural network (CNN) for processing the image
A Relation Network (RN) to understand how the different objects relate to each other.

Key technology components were at the core of the wildly successful NASA Mars Rover’s mission. Alone and 150 million miles from Earth, the rover was able to successfully adapt to conditions without direct instruction. After a dust storm, it taught itself to rotate its solar panels and shake off accumulated dust blocking essential solar ray absorption. Then it taught itself to correlate sensory evidence with mission objectives to build the first practical weather model of another planet.

Artificial general intelligence (AGI) is the representation of generalized human cognitive abilities in software so that, faced with an unfamiliar task, the AI system could find a solution.

While benefits of AGI are obvious, its eventual transition to ASI may create machines that human may struggle to control. Humans will gain as long as their natural intelligence controls intelligence of machines.


  1. SOCIAL MEDIA MINING IS THE PROCESS OF OBTAINING BIG DATA FROM USER-GENERATED CONTENT ON SOCIAL MEDIA SITES AND MOBILE APPS IN ORDER TO EXTRACT PATTERNS, FORM CONCLUSIONS ABOUT USERS, AND ACT UPON THE INFORMATION, OFTEN FOR THE PURPOSE OF MAKING MONEY BY SELLING IT TO MALICIOUS SPY AGENCIES.

    THE FACEBOOK–CAMBRIDGE ANALYTICA DATA SCANDAL WAS A MAJOR POLITICAL SCANDAL IN EARLY 2018 WHEN IT WAS REVEALED THAT CAMBRIDGE ANALYTICA HAD HARVESTED THE PERSONAL DATA OF MILLIONS OF PEOPLE'S FACEBOOK PROFILES WITHOUT THEIR CONSENT..

    FACEBOOK REGULARLY COLLECTS IMMENSE VOLUMES OF DATA ON ITS USERS BY TRAWLING THROUGH ADS THAT WERE CLICKED, UPDATES ON PROFILES, SHOWS WATCHED, AND HOLIDAYS, FILING ALL THAT DATA AWAY IN ORDER TO “HELP ADVERTISERS REACH PEOPLE…INTERESTED IN THEIR PRODUCTS, SERVICES, AND CAUSES”.

    COMPANIES LIKE GOOGLE SELL DATA ALL THE TIME

    SOCIAL MEDIA MINING REQUIRES HUMAN DATA ANALYSTS AND AUTOMATED SOFTWARE PROGRAMS TO SIFT THROUGH MASSIVE AMOUNTS OF RAW SOCIAL MEDIA DATA IN ORDER TO DISCERN PATTERNS AND TRENDS RELATING TO SOCIAL MEDIA USAGE, ONLINE BEHAVIOURS, PERSONAL CHOICES , SOLIDARITY PREFERENCES, SHARING OF CONTENT, CONNECTIONS BETWEEN INDIVIDUALS, ONLINE BUYING BEHAVIOUR, AND MORE.
    THESE PATTERNS AND TRENDS ARE OF INTEREST TO KOSHER COMPANIES, HOSTILE GOVERNMENTS AND NOT-FOR-PROFIT ORGANIZATIONS, AS THESE ORGANIZATIONS CAN USE THESE PATTERNS AND TRENDS TO DESIGN THEIR STRATEGIES OR INTRODUCE NEW PROGRAMS, NEW PRODUCTS, PROCESSES OR SERVICES.

    SOCIAL MEDIA MINING USES A RANGE OF BASIC CONCEPTS FROM COMPUTER SCIENCE, DATA MINING, MACHINE LEARNING AND STATISTICS. FACEBOOK/ TWITTER MINERS DEVELOP ALGORITHMS SUITABLE FOR INVESTIGATING MASSIVE FILES OF SOCIAL MEDIA DATA.

    SOCIAL MEDIA MINING IS BASED ON THEORIES AND METHODOLOGIES FROM SOCIAL NETWORK ANALYSIS, NETWORK SCIENCE, SOCIOLOGY, ETHNOGRAPHY, OPTIMIZATION AND MATHEMATICS. IT ENCOMPASSES THE TOOLS TO FORMALLY REPRESENT, MEASURE AND MODEL MEANINGFUL PATTERNS FROM LARGE-SCALE SOCIAL MEDIA DATA

    WEB DATA MINING CAN LEND INFORMATION OUT TO OTHER BUSINESSES FOR MONEY. USERS ARE UNAWARE OF HOW THE INFORMATION COLLECTED ABOUT THEM IS BEING USED. ... HENCE, IT IS UNETHICAL TO USE WEB DATA MINING AS PEOPLE'S PRIVACY IS VIOLATED..

    SOCIAL MEDIA ALSO PROVIDES A PERFECT SANDBOX FOR ETHNOGRAPHIES AND STUDYING PEOPLE FOR RELIGIOUS CONVERSIONS OR EVEN HOMOSEXUALITY / DRUG SELLER GROUPS TO HIJACK THEM..

    IN USA SOCIAL MEDIA SITES INCLUDING YOUTUBE AND FACEBOOK PLAYED A SIGNIFICANT ROLE IN RAISING FUNDS AND GETTING CANDIDATES’ MESSAGES TO VOTERS, AND THE DATABASE COLLECTED FROM FACEBOOK ALLOWED CAMPAIGNS TO “IDENTIFY POSSIBLE SWING VOTERS AND CRAFT MESSAGES MORE LIKELY TO RESONATE.”

    PRISM IS A CODE NAME FOR A PROGRAM UNDER WHICH THE UNITED STATES NATIONAL SECURITY AGENCY (NSA) COLLECTS INTERNET COMMUNICATIONS FROM VARIOUS U.S. INTERNET COMPANIES..

    PRISM IS A TOOL USED BY THE US NATIONAL SECURITY AGENCY (NSA) TO COLLECT PRIVATE ELECTRONIC DATA BELONGING TO USERS OF MAJOR INTERNET SERVICES LIKE GMAIL, FACEBOOK, TWITTER ETC

    EDWARD SNOWDEN, AN INTELLIGENCE CONTRACTOR FORMERLY EMPLOYED BY THE NSA/ CIA CONFESSED RESPONSIBILITY FOR LEAKING THE PRISM DOCUMENTS.

    NSA PROGRAMS COLLECT TWO KINDS OF DATA: METADATA AND CONTENT. METADATA IS THE SENSITIVE BYPRODUCT OF COMMUNICATIONS, SUCH AS PHONE RECORDS THAT REVEAL THE PARTICIPANTS, TIMES, AND DURATIONS OF CALLS; THE COMMUNICATIONS COLLECTED BY PRISM INCLUDE THE CONTENTS OF EMAILS, CHATS, VOIP CALLS, CLOUD-STORED FILES, AND MORE.

    CONTINUED TO 2--
    1. CONTINUED FROM 1--

      “Facebook’s internal purpose, whether they state it publicly or not, is to compile perfect records of private lives to the maximum extent of their capability, and then exploit that for their own corporate enrichment. And damn the consequences,” ----------“The more Google knows about you, the more Facebook knows about you, the more they are able ... to create permanent records of private lives, the more influence and power they have over us”--------- “There is no good reason why Google should be able to read your email. There is no good reason why Google should know the messages that you’re sending to your friend. Facebook shouldn’t be able to see what you’re saying when you’re writing to your mother.” --------- “There is a class led by Mark Zuckerberg that is moving toward the maximization of technological power and influence that can be applied to society because they believe they can profit by it or, rightly or wrongly, they can better use the influence that their systems provide to direct the world into a better direction. ... And then you have this other fork in the road where there are people ... who go, ‘The advance of technology is inevitable and technology can do very good things for the world, but we need to understand that there must be limits on how that technological power and influence can be applied.’” --------- Edward Snowden.

      SNOWDEN ALSO POINTED OUT THAT THE FOURTH AMENDMENT — WHICH PROTECTS CITIZENS FROM SEARCHES UNLESS LAW ENFORCEMENT HAS A WARRANT OR PROBABLE CAUSE — ONLY APPLIES TO GOVERNMENT, NOT TO COMPANIES. SO WHILE THE FBI MIGHT NEED A WARRANT TO PROBE YOUR INBOX, THERE’S NO CONSTITUTIONAL BARRIER TO A COMPANY LIKE FACEBOOK SEARCHING AND RETRIEVING PEOPLE’S PRIVATE INFORMATION WITHOUT A JUDGE’S APPROVAL.

      RECENTLY, COMPANIES SUCH AS FACEBOOK, GOOGLE, AND AMAZON HAVE COME UNDER FIRE BY REGULATORS FOR THEIR PERCEIVED NEGATIVE EFFECTS ON SOCIETY — FROM ALLEGED MONOPOLISTIC PRACTICES TO DATA BREACHES.

      Capt ajit vadakayil
      ..


With machine learning, they can’t be sure what discriminatory features the system might learn. Absent the market forces, unless companies are compelled to be transparent about the development and their use of opaque technology in domains where fairness matters, it’s not going to happen.

Machine Learning  enable systems to learn patterns from data and subsequently improve from experience. It is an interdisciplinary field that includes information theory, control theory, statistics, and computer science. 

As it gathers and sorts more information, machine learning constantly gets better at identifying types and forms of data with little or no hard coded rules. For example, through pattern recognition, machine learning will increase the accuracy of identifying specific objects or images.

Multi-Task learning is a sub-field of Machine Learning that aims to solve multiple different tasks at the same time, by taking advantage of the similarities between different tasks. 

AI CANNOT MATCH HUMAN REASONING

At a high level, Machine Learning is the ability to adapt to new data independently and through iterations.  Applications learn from previous computations and transactions and use “pattern recognition” to produce reliable and informed results. 

To better understand the uses of Machine Learning, consider some instances where Machine Learning is applied: the self-driving Google car; cyber fraud detection; and, online recommendation engines from Facebook, Netflix, and Amazon. Machines can enable all of these things by filtering useful pieces of information and piecing them together based on patterns to get accurate results.

The process flow depicted here represents how Machine Learning works:-

Typical results from Machine Learning applications we either see or don’t regularly include web search results, real-time ads on web pages and mobile devices, email spam filtering, network intrusion detection, and pattern and image recognition. All these are by-products of using Machine Learning to analyze massive volumes of data.
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Traditional programming involves specifying a sequence of instructions that dictate to the computer exactly what to do. Machine learning, on the other hand, is a different programming paradigm wherein the engineer provides examples comprising what the expected output of the program should be for a given input. 

The machine learning system then explores the set of all possible computer programs in order to find the program that most closely generates the expected output for the corresponding input data. Thus, with this programming paradigm, the engineer does not need to figure out how to instruct the computer to accomplish a task, provided they have a sufficient number of examples for the system to identify the correct program in the search space.

For example, if you give a machine learning program many photos of pregnancy ultrasounds together with a list of indications to identify the gender, it’s likely to learn to analyze ultrasound gender results in the future. ML programs compare different information to find common patterns and come up with correct results.
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Overall, ML is a learning process, which the machine can achieve on its own without being explicitly programmed to do. Machine learning involves computer learning from experience.

AI involves a computer executing a task a human could do. Machine learning involves the computer learning from its experience and making decisions based on the information. While the two approaches are different, they are often used together to achieve many goals in different industries.

Machine Learning techniques. While there is nothing inherently wrong with Machine Learning, the main caveat for a successful Machine Learning outcome is sufficient and representative historical data for the machine to learn from. 

For example, if an AI model is learning to recognize chairs and has only seen standard dining chairs that have four legs, the model may believe that chairs are only defined by four legs. This means if the model is shown to, say, a desk chair that has one pillar, it will not recognize it as a chair.

Machine learning is predicated on learning from data, so having the right quantity and quality is essential. Security leaders should ask the following questions about their data sources to optimize their machine learning deployments:. 

Machine learning is all about assigning a task and letting a computer decide the most efficient way to do it. Because they don’t understand, it’s easy to end up with a computer “learning” how to solve a different problem from what you wanted.

With machine learning, a computer isn’t programmed to perform a specific task. Instead, it’s fed data and evaluated on its performance at the task.

An elementary example of machine learning is image recognition. Let’s say we want to train a computer program to identify photos that have a dog in them. We can give a computer millions of images, some of which have dogs in them and some don’t. The images are labeled whether they have a dog in them or not. The computer program “trains” itself to recognize what dogs look like based on that data set.

The interpretability of a machine learning model is essential for gaining insight into model behavior. Understanding the rationale behind the model's predictions would certainly help users decide when to trust or not to trust their predictions which is fundamental if one plans to take action based on a prediction, or when choosing whether to deploy a new model.

Error in Machine Learning is the difference in the expected output and the predicted output of the model. It is a measure of how well the model performs over a given set of data.

For binary classification problems, there are two primary types of errors. Type 1 errors (false positives) and Type 2 errors (false negatives). It's often possible through model selection and tuning to increase one while decreasing the other, and often one must choose which error type is more acceptable.


In supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error ) is a measure of how accurately an algorithm is able to predict outcome values for previously unseen data. 

Because learning algorithms are evaluated on finite samples, the evaluation of a learning algorithm may be sensitive to sampling error. As a result, measurements of prediction error on the current data may not provide much information about predictive ability on new data. 

Generalization error can be minimized by avoiding overfitting in the learning algorithm. The performance of a machine learning algorithm is measured by plots of the generalization error values through the learning process, which are called learning curves.






Error (statistical error) describes the difference between a value obtained from a data collection process and the 'true' value for the population. The greater the error, the less representative the data are of the population. Data can be affected by two types of error: sampling error and non-sampling error.

There are tradeoffs between the types of errors that a machine learning practitioner must consider and often choose to accept. For binary classification problems, there are two primary types of errors. Type 1 errors (false positives) and Type 2 errors (false negatives)

In statistics, imputation is the process of replacing missing data with substituted values. When substituting for a data point, it is known as "unit imputation"; when substituting for a component of a data point, it is known as "item imputation".

There are three main problems that missing data causes: missing data can introduce a substantial amount of bias, make the handling and analysis of the data more arduous, and create reductions in efficiency.  

Because missing data can create problems for analyzing data, imputation is seen as a way to avoid pitfalls involved with listwise deletion of cases that have missing values. That is to say, when one or more values are missing for a case, most statistical packages default to discarding any case that has a missing value, which may introduce bias or affect the representativeness of the results. 

Imputation preserves all cases by replacing missing data with an estimated value based on other available information. Once all missing values have been imputed, the data set can then be analysed using standard techniques for complete data

Feature Scaling or Standardization: It is a step of Data Pre Processing which is applied to independent variables or features of data. It basically helps to normalise the data within a particular range. Sometimes, it also helps in speeding up the calculations in an algorithm

In machine learning, a hyperparameter is a parameter whose value is set before the learning process begins. ... Given these hyperparameters, the training algorithm learns the parameters from the data
By contrast, the values of other parameters are derived via training.

Hyperparameters can be classified as model hyperparameters, that cannot be inferred while fitting the machine to the training set because they refer to the model selection task, or algorithm hyperparameters, that in principle have no influence on the performance of the model but affect the speed and quality of the learning process. An example of the first type is the topology and size of a neural network. An example of the second type is learning rate or mini-batch size.

Model selection is the process of choosing between different machine learning approaches - e.g. SVM, logistic regression, etc - or choosing between different hyperparameters or sets of features for the same machine learning approach - e.g. deciding between the polynomial degrees/complexities for linear regression..  

Model selection is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre-existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is well-suited to the problem of model selection.

Model selection is the process of choosing one among many candidate models for a predictive modeling problem.

There may be many competing concerns when performing model selection beyond model performance, such as complexity, maintainability, and available resources.

The two main classes of model selection techniques are probabilistic measures and resampling methods.

A “good enough” model may refer to many things and is specific to your project, such as:--

A model that meets the requirements and constraints of project stakeholders.
A model that is sufficiently skillful given the time and resources available.
A model that is skillful as compared to naive models.
A model that is skillful relative to other tested models.
A model that is skillful relative to the state-of-the-art.

Some algorithms require specialized data preparation in order to best expose the structure of the problem to the learning algorithm. Therefore, we must go one step further and consider model selection as the process of selecting among model development pipelines.

Each pipeline may take in the same raw training dataset and outputs a model that can be evaluated in the same manner but may require different or overlapping computational steps, such as:--

Data filtering.
Data transformation.
Feature selection.
Feature engineering.

Random errors most often result from limitations in the equipment or techniques used to make a measurement.

Noise is a distortion in data, that is unwanted by the perceiver of data. Noisy data is data with a large amount of additional meaningless information in it called noise. This includes data corruption and the term is often used as a synonym for corrupt data. It also includes any data that a user system cannot understand and interpreted correctly.

Noisy data is data that is corrupted, or distorted, or has a low Signal-to-Noise Ratio. Improper procedures (or improperly-documented procedures) to subtract out the noise in data can lead to a false sense of accuracy or false conclusions.

Data = true signal + noise

Noise often causes the algorithms to miss out patterns in the data.
Data filtering is the task of reducing the content of noise or errors from measured process data. It is an important task because measurement noise masks the important features in the data and limits their usefulness in practice.

Noisy data is data with a large amount of additional meaningless information in it called noise  This includes data corruption and the term is often used as a synonym for corrupt data.  It also includes any data that a user system cannot understand and interpreted correctly.   

Many systems, for example, cannot use unstructured text. Noisy data can adversely affect the results of any data analysis and skew conclusions if not handled properly. Statistical analysis is sometimes used to weed the noise out of noisy data

Any data that has been received, stored, or changed in such a manner that it cannot be read or used by the program that originally created it can be described as noisy. Noisy data unnecessarily increases the amount of storage space required and can also adversely affect the results of any data mining analysis.

Benefits of identifying & treating noise in data:---
enables the DS algorithm to train faster.
reduces the complexity of a model and makes it easier to interpret
improves the accuracy of a model if the right subset is chosen
reduces overfitting

The common method for the removal of noise is optimal linear filtering method, and some algorithms in this method are Wiener filtering, Kalman filtering and spectral subtraction technique. ... All of the above techniques show an increased Signal to Noise Ratio (SNR) after processing, as seen in the simulation results.

Even though many differences exist between AI and ML, they are closely connected.  AI and ML are often viewed as the body and the brain. The body collects information, the brain processes it. The same is with AI, which accumulates information while ML processes it.

When people use these two terms interchangeably, they fail to have a deeper understanding of the concepts while intuitively understanding how closely related they are.

We understand about cause and effect.. All  ML could do was follow the pattern. When the pattern changed, it was helpless.

The data that is obtained from the real world is not ideal or noise-free. It contains a lot of noise, which needs to be filtered out before applying the Machine Learning Algorithms.

Classification: A lot of classes will be misclassified in the training set as well as the validation set. On data visualization, the graph would indicate that if there was a more complex model, more classes would have been correctly classified.

Regression: The final “Best Fit” line will fail to fit the data points in an effective manner. On visualization, it would clearly seem that a more complex curve can fit the data better.
Train a more complex model  Obtain more features: If the data set lacks enough features to get a clear inference, then Feature Engineering or collecting more features will help fit the data better.

Decrease Regularization: Regularization is the process that helps Generalize the model by avoiding overfitting. However, if the model is learning less or underfitting, then it is better to decrease or completely remove Regularization techniques so that the model can learn better.

New Model Architecture: Finally, if none of the above approaches work, then a new model can be used, which may provide better results.

Remove features: As a contrast to the steps to avoid underfitting, if the number of features is too many, then the model tends to overfit. Hence, reducing the number of unnecessary or irrelevant features often leads to a better and more generalized model. Deep Learning models are usually not affected by this. 

There are several methods to calculate error in Machine Learning. One of the most commonly used terminologies to represent the error is called the Loss/Cost Function. It Mean Squared Error formula definition

The necessity of minimization of Errors: As it is obvious from the previously shown graphs, the higher the error, the worse the model performs. Hence, the error of the prediction of a model can be considered as a performance measure: Lower the error of a model, the better it performs.

In addition to that, a model judges its own performance and trains itself based on the error created between its own output and the expected output. The primary target of the model is to minimize the error so as to get the best parameters that would fit the data perfectly. 

An electronic health record (EHR) is a digital version of a patient chart, an inclusive snapshot of the patient’s medical history. It contains input from all the practitioners that are involved in the client’s care, offering a comprehensive view of the client’s health and treatment history.
EHRs are real-time, patient-centered records that make information available instantly and securely to authorized users. ... Allow access to evidence-based tools that providers can use to make decisions about a patient's care
Purpose of HER ?
health information and data.
result management.
order management.
decision support.
electronic communication and connectivity.
patient support.
administrative processes and reporting.
reporting and population health.

An electronic recordkeeping system (ERKS), also known as an electronic records management system in some jurisdictions, is an information/computer system with the necessary records management capabilities designed to electronically collect, organise, classify and control the creation, storage, retrieval, distribution

EMRs are not designed to be shared outside the individual practice.

Using Electronic Health Records (EHRs), all the history of patient’s medical data can be recorded and stored appropriately in a centralized system. In olden days and even now in some healthcare organizations health records of the patients are saved on paper. However, technical advancements have changed this scenario and the health records can be saved in digital formats.

This enhances the quality of medical services and care provided to the patients.
Healthcare organizations like hospitals, clinics and even individual medical practices have been taking advantage of EHRs in several ways. They are very useful not only to the practitioners but also to the patients. 
Top advantages of Electronic Health Records
• Keeping a record of up-to-date and accurate data about the patients in digital format
• Ensuring fast access to the medical data of patients for efficient and coordinated care
• Sharing the electronic medical data in a safe and secure manner with patients or other hospital staff
• Helping proper documentation of all the patient data
• Decreasing paperwork and setting the hospital staff free for other important tasks
• Enabling more effective diagnosis of patients with reduced medical errors and safer operations; thus improving the health of patients
• Boosting interaction and communication between patients and care providers
• Ensuring that the patient data remains safe and secure
• Enabling the patients to review their medical history, take necessary precautions and be alert about their treatments.
• Helping the care providers to enhance their productivity and efficiency while meeting their business goals
• Integrating patient data from different resources for better clinical decision-making

Electronic Health Records ensure that the processes become faster because the entries are not done manually. EHRs increase transparency so that doctors can immediately access previous health issues of the patients and provide better treatment.
Providing remote treatments is possible with EHRs as they can be easily paired with the healthcare management system or health apps or smartphones. It forms a powerful connection and important patient data can be accessed from anywhere. As a result, doctors can follow-up with patients and keep in touch. This facility is extremely helpful in case of an emergency. One more benefit that EHRs provide is improving inventory management of drugs. Recording the data alerts of the concerned person for increasing the drug supply in a timely manner.
Electronic health records are designed to be shared with other providers and authorized users may instantly access a patient’s EHR from across different healthcare providers.
As a rule, EHRs contain the following data:--
Patient’s demographic, billing, and insurance information;
Physical history and physicians’ orders;
Medication allergy information;
Nursing assessments, notes, and graphics of vital signs;
Laboratory and radiology results;
Trending labs, vital signs, results, and activities pages for easy reference
Links to important clinical information and support
Reports for quality and safety personnel

An electronic medical record (EMR) is a digital version of a patient’s chart used by a single practice: a physician, nurse practitioner, specialist, dentist, surgeon or clinic. In its essence, it is digitalized chart that healthcare facilities previously used to keep track of treatments, medications, changes in condition, etc. These medical documents are private and confidential and are not usually shared outside the medical practice where they originated.
Electronic medical records make it easier to track data over time and to monitor the client’s health more reliably, which leads to better long-term care.

Elements of EMRs:--
EMRs usually contain the following information about the client:
Medical history, physicals, notes by providers, and consults from other physicians
Medications and allergies, including immunization history
Alerts to the office and the patients for preventative tests and/or procedures, e.g. lab tests to follow-up colonoscopies

An electronic personal health record (PHR) provides an electronic record of the client’s health-related information and is managed by the client. It is a universally accessible and comprehensible tool for managing health information, promoting health maintenance, and assisting with chronic disease management. 

A PHR may contain information from multiple sources such as physicians, home monitoring devices, wearables, and other data furnished by the client. With PHRs, each client can view and control their medical data in a secure setting and share it with other parties.

However, it is not a legal record unless so defined and is subject to various legal limitations. Besides, though PHRs can provide important insights and give a fuller view of the client’s health and lifestyle, its inaccuracy and lack of structure lead to limited use of it in the clinical and medical studies.

Digital medical records may offer significant advantages both to patients and healthcare providers:--
Medical errors are reduced and healthcare is improved thanks to accurate and up-to-date information;
Patient charts are more complete and clear — without the need to decipher illegible scribbles;
Information sharing reduces duplicate testing;
Improved information access makes prescribing medication safer and more reliable;Promoting patient participation can encourage healthier lifestyles;
More complete information improves diagnostics;
Facilitating communication between the practitioner and client;
Enabling secure sharing of client’s medical information among multiple providers;
Increasing administrative efficiency in scheduling, billing, and collections, resulting in lower business-related costs for the organization
Improving EHR/EMR design and handling requires mapping complaints to specific EHR/EMR features and design decisions, which is not always a straightforward process. 

Over the last year, more informatics researchers and software vendors have turned their attention to EHR/EMR systems, and more of them have started to rely on AI to give deeper insights into the design and handling of the electronic records. 

The free structure of clinical notes is notoriously difficult to read and categorize with straightforward algorithms. AI and natural language processing, however, can handle the heterogeneity of unstructured or semistructured data making them a useful part of EHRs.

Flatiron Health’s ( owned by Roche ) human “abstractors” review provider uses AI to recognize key terms and uncover insights from unstructured documents. Amazon Web Services recently announced a cloud-based service that uses AI to extract and index data from clinical notes.

As healthcare costs grow and new methods are tested, home devices such as glucometers or blood pressure cuffs that automatically measure and send the results to the EHR are gaining momentum. 

Moreover, data streams from the Internet of Things, including home monitors, wearables, and bedside medical devices, can auto-populate notes and provide data for predictive analytics. Some companies have even more advanced devices such as the smart t-shirts of Hexoskin, which can measure several cardiovascular metrics and are being used in clinical studies and at-home disease monitoring. This means

Besides, electronic patient-reported outcomes and personal health records are also being leveraged more and more as providers emphasize the importance of patient-centered care and self disease management; all of these data sources are most useful when they can be integrated into the existing EHR.

Hexoskin is an open data smart shirt for monitoring EKG, heart rate, heart rate variability, breathing rate, breathing volume, actigraphy and other activity measurements like step counting and cadence. 

Hexoskin launched in 2013 the first washable smart shirts that capture cardiac, respiratory, and activity body metrics.

As you sleep at night, you cycle through periods of REM and non-REM sleep. Non-REM sleep occurs in three stages, and then you will enter REM sleep.

Non-REM Sleep

According to WebMD, the three phases of non-REM sleep are:--

Phase 1: As you first drift off to sleep you are entering phase 1 of non-REM sleep. You are relaxed, but may stir or awake easily for about five to ten minutes.
Phase 2: Phase 2 prepares your body for deep sleep. Your heart rate and body temperature will lower as you begin to sleep lightly.
Phase 3: Deep sleep begins in phase 3, and you will not be easily woken up as your body works to repair tissue and bones and strengthen your immune system.

REM Sleep

REM stands for Rapid Eye Movement. During this cycle of your sleep, your eyes will move and dart quickly beneath your eyelids. During REM sleep, your brain activity increases, your pulse quickens, and you have dreams. REM sleep first takes place after you’ve been sleeping for around 90 minutes. The first cycle usually lasts about 10 minutes, and each cycle time will increase to as long as one hour in the last phase before you awake.

The importance of REM sleep, in particular, is attributed to the fact that during this phase of sleep, your brain exercises important neural connections which are key to mental and overall well-being and health.

REM Sleep Behavior Disorder is a sleep disorder that causes you to physically act out vivid dreams through erratic and violent arm and leg movements. This disorder can come about suddenly, and impact your sleep several times a night.

During REM sleep, your body usually remains motionless, but the symptoms of REM Sleep Behavior 
Disorder include:--

Movements such as flailing, kicking, or punching in response to especially vivid or frightening dreams.
Noises such as yelling, talking, or crying while you are sleeping.

Ability to vividly remember the dream you were experiencing if you are woken up.


AI vs ML
The key difference between the two concepts involve---

•           Goal – The goal of AI is to increase the chances of success. Meanwhile, ML’s aim is to improve accuracy without caring for success.
•           Nature- AI is a computer program doing smart work. ML is the way for the computer program to learn from experience.
•           Future – The future goal of AI is to stimulate intelligence for solving highly complex programs. The ML’s goal is to keep learning from data to maximize the performance.
•           Approach – AI involves decision-making. ML allows the computer to learn new things from the available information.

•           Solutions – AI looks for optimal solutions. ML looks for the only solution.


Reasoning is the process of using existing knowledge to draw conclusions, make predictions, or construct explanations.

The following are a few major types of reasoning.:---
Deductive Reasoning.
Inductive Reasoning.
Abductive Reasoning.
Backward Induction.
Critical Thinking.
Counterfactual Thinking.
Intuition.

In theoretical research, deduction, induction and abduction can be also known as modes of argumentation:

Deduction: Data finding first to support an argument.
Induction: From argument finding to  explanation of data;
Abduction: Supplying a permit or license that enables or allows us to move from data to argument.

The difference between abductive reasoning and inductive reasoning is a subtle one; both use evidence to form guesses that are likely, but not guaranteed, to be true. However, abductive reasoning looks for cause-and-effect relationships, while induction seeks to determine general rules

Abductive reasoning is a form of logical inference which starts with an observation or set of observations then seeks to find the simplest and most likely explanation for the observations. It is a  process of research in which the logic of creativity/justification is given more importance than the logic of justification.  It is more like a process rather than a conclusion/outcome in hypothesis formation.

Abductive reasoning is an extension of deductive reasoning, but in abductive reasoning, the premises do not guarantee the conclusion.

Example:- 
Implication: Cricket ground is wet if it is raining
Axiom: Cricket ground is wet. 
Conclusion It is raining.


Abductive reasoning typically begins with an incomplete set of observations and proceeds to the likeliest possible explanation for the set.   It yields the kind of daily decision-making that does its best with the information at hand, which often is incomplete. It is the opposite of deductive reasoning. 

Inductive reasoning makes broad generalizations from specific observations. Basically, there is data, then conclusions are drawn from the data. ... An example of inductive logic is, "The coin I pulled from the bag is a penny"

Inductive approach is common but less effective when compared to deductive. In this approach you research the topic first and then argument comes up which is based on your research. This is also called reactive writing.

Inductive reasoning begins with observations that are specific and limited in scope, and proceeds to a generalized conclusion that is likely, but not certain, in light of accumulated evidence. You could say that inductive reasoning moves from the specific to the general.

Inductive reasoning arrives at a conclusion using limited sets of facts by the process of generalization. It starts with the series of specific facts or data and reaches to a general statement or conclusion.


Inductive reasoning is a type of propositional logic, which is also known as cause-effect reasoning or bottom-up reasoning.   We use historical data or various premises to generate a generic rule, for which premises support the conclusion. Premises provide probable supports to the conclusion, so the truth of premises does not guarantee the truth of the conclusion.

Example:--

Premise: All of the pigeons we have seen in the zoo are white. 
Conclusion: Therefore, we can expect all the pigeons to be white.


Inductive research works the other way, from specific to broader generalizations and theories. This type of research sometimes informally called a bottom up research.  Conclusions are most likely based on premises.  This type of research commonly involves some degree of uncertainty. Observations likely to be used for it.  Inferring ‘effects’ from ‘causes’..  There are usually two variables in the research which are X and Y.


Inductive research starts with the findings which are very limited and specific in scope, and then continues to an outcome or conclusion which is generalized but not very certain in the light of collected data. In inductive approach the premises are there to support the result or conclusion but they do no ensure it. Therefore the conclusion is known as hypothesis.

Deductive reasoning is when you move from a general statement to a more specific statement through a logical thought process. ...  One of the  examples of deductive reasoning is from Aristotle: All men or mortal. Socrates is a man. Therefore, Socrates is mortal
Deductive reasoning starts with the assertion of a general rule and proceeds from there to a guaranteed specific conclusion.   It is about deducing new information from logically related known information. It is the form of valid reasoning, which means the argument's conclusion must be true when the premises are true.

Deductive reasoning is a type of propositional logic in AI, and it requires various rules and facts. It is sometimes referred to as top-down reasoning, and contradictory to inductive reasoning. The truth of the premises guarantees the truth of the conclusion.


Deductive reasoning uses given information, premises or accepted general rules to reach a proven conclusion. On the other hand, inductive logic or reasoning involves making generalizations based upon behavior observed in specific cases.

Example:--
Premise-1: All the human eats veggies
Premise-2: Suresh is human.

Conclusion: Suresh eats veggies.


Deductive research goes from theories to data. Task is to find theories which are very well-known or generally defined and then apply them to a specific phenomenon. The collected data will then either approve or disapprove these theories which you have tried to apply; both of these outcomes will be then valuable. 

Quantitative research is most commonly linked or associated with Deductive approach.
In this approach you highlight or outline an argument based on your existing knowledge about the selected subject or topic, then research on it to fill in the gaps. This is also called active reading.

The difference between abductive reasoning and inductive reasoning is a subtle one; both use evidence to form guesses that are likely, but not guaranteed, to be true. However, abductive reasoning looks for cause-and-effect relationships, while induction seeks to determine general rules.


It suggests that the best way to distinguish between induction and abduction is this: both are ampliative, meaning that the conclusion goes beyond what is (logically) contained in the premises (which is why they are non-necessary inferences), but in abduction there is an implicit or explicit appeal to explanatory .

Both  induction and abduction  are ampliative, which means that the conclusion goes totally beyond what is basically contained in the researched premises. But in abduction there is an understood or clear appeal to descriptive reflections, whereas it’s not the same in induction. In induction there is only an appeal to experiential statistics. (“Only” is emphasized because there may also in abduction).

Deduction-- In writing, argument is used in an attempt to convince the reader of the truth or falsity of some proposal or thesis. Two of the methods used are induction and deduction. Induction is a process of reasoning (arguing) which infers a general conclusion based.

Reasoning is the process of using existing knowledge to draw conclusions, make predictions, or construct explanations. Three methods of reasoning are the deductive, inductive, and abductive approaches. Deductive reasoning: conclusion guaranteed

Analytics – encompasses the discovery, interpretation, and communication of meaningful patterns in data. It relies on the simultaneous application of statistics, computer programming and operations research to quantify performance and is particularly valuable in areas with large amounts of recorded information. The goal of this exercise is to guide decision-making based on the business context. The analytics flow comprises descriptive, diagnostic, predictive analytics and eventually prescriptive steps.

In monotonic reasoning, once the conclusion is taken, then it will remain the same even if we add some other information to existing information in our knowledge base. In monotonic reasoning, adding knowledge does not decrease the set of prepositions that can be derived.

Monotonic learning is when an agent may not learn the knowledge that contradicts with what it already known or exists, it will not replace a statement with its negation. Thus, the knowledge base may only grow with new facts in a monotonic fashion.

The advantages of monotonic learning are:--
1.greatly simplified truth-maintenance 
2.greater choice in learning strategies

In monotonic reasoning, once the conclusion is taken, then it will remain the same even if we add some other information to existing information in our knowledge base. In monotonic reasoning, adding knowledge does not decrease the set of prepositions that can be derived.

To solve monotonic problems, we can derive the valid conclusion from the available facts only, and it will not be affected by new facts.

Monotonic reasoning is not useful for the real-time systems, as in real time, facts get changed, so we cannot use monotonic reasoning. It is  used in conventional reasoning systems, and a logic-based system is monotonic.

Any theorem proving is an example of monotonic reasoning.

Example:-- 
Earth revolves around the Sun.
It is a true fact, and it cannot be changed even if we add another sentence in knowledge base like, "The moon revolves around the earth" Or "Earth is not round," etc.

Advantages of Monotonic Reasoning:--
In monotonic reasoning, each old proof will always remain valid.
If we deduce some facts from available facts, then it will remain valid for always.

Disadvantages of Monotonic Reasoning:--
We cannot represent the real world scenarios using Monotonic reasoning.
Hypothesis knowledge cannot be expressed with monotonic reasoning, which means facts should be true.

Since we can only derive conclusions from the old proofs, so new knowledge from the real world cannot be added. 

The term “non-monotonic logic”  covers a family of formal frameworks devised to capture and represent defeasible inference. Reasoners draw conclusions defeasibly when they reserve the right to retract them in the light of further information.  Defeasible reasoning is dynamic in that it allows for a retraction of inferences.

A non-monotonic logic is a formal logic whose consequence relation is not monotonic. In other words, non-monotonic logics are devised to capture and represent defeasible inferences (cf. defeasible reasoning), i.e., a kind of inference in which reasoners draw tentative conclusions, enabling reasoners to retract their conclusion(s) based on further evidence.   

Most studied formal logics have a monotonic consequence relation, meaning that adding a formula to a theory never produces a reduction of its set of consequences. Intuitively, monotonicity indicates that learning a new piece of knowledge cannot reduce the set of what is known. 

A monotonic logic cannot handle various reasoning tasks such as reasoning by default (consequences may be derived only because of lack of evidence of the contrary), abductive reasoning (consequences are only deduced as most likely explanations), some important approaches to reasoning about knowledge (the ignorance of a consequence must be retracted when the consequence becomes known), and similarly, belief revision (new knowledge may contradict old beliefs).

In Non-monotonic reasoning, some conclusions may be invalidated if we add some more information to our knowledge base.

Logic will be said as non-monotonic if some conclusions can be invalidated by adding more knowledge into our knowledge base.

Non-monotonic reasoning deals with incomplete and uncertain models.

"Human perceptions for various things in daily life, "is a general example of non-monotonic reasoning.

Example: Let suppose the knowledge base contains the following knowledge:

Birds can fly
Penguins cannot fly
Pitty is a bird
So from the above sentences, we can conclude that Pitty can fly.

However, if we add one another sentence into knowledge base "Pitty is a penguin", which concludes "Pitty cannot fly", so it invalidates the above conclusion.

Advantages of Non-monotonic reasoning:--
For real-world systems such as Robot navigation, we can use non-monotonic reasoning.
In Non-monotonic reasoning, we can choose probabilistic facts or can make assumptions.

Disadvantages of Non-monotonic Reasoning:--
In non-monotonic reasoning, the old facts may be invalidated by adding new sentences.
It cannot be used for theorem proving.

Abductive reasoning is the process of deriving the most likely explanations of the known facts. An abductive logic should not be monotonic because the most likely explanations are not necessarily correct. 

For example, the most likely explanation for seeing wet grass is that it rained; however, this explanation has to be retracted when learning that the real cause of the grass being wet was a sprinkler. Since the old explanation (it rained) is retracted because of the addition of a piece of knowledge (a sprinkler was active), any logic that models explanations is non-monotonic.

If a logic includes formulae that mean that something is not known, this logic should not be monotonic. Indeed, learning something that was previously not known leads to the removal of the formula specifying that this piece of knowledge is not known. This second change (a removal caused by an addition) violates the condition of monotonicity. A logic for reasoning about knowledge is the autoepistemic logic.

Common Sense Reasoning--
Common sense reasoning is an informal form of reasoning, which can be gained through experiences. It simulates the human ability to make presumptions about events which occurs on every day.

It relies on good judgment rather than exact logic and operates on heuristic knowledge and heuristic rules.

Example:--- 
One person can be at one place at a time.
If I put my hand in a fire, then it will burn.

The above two statements are the examples of common sense reasoning which a human mind can easily understand and assume.

The hypothetico-deductive model or method is a proposed description of the scientific method. 

According to it, scientific inquiry proceeds by formulating a hypothesis in a form that can be falsifiable, using a test on observable data where the outcome is not yet known. A test outcome that could have and does run contrary to predictions of the hypothesis is taken as a falsification of the hypothesis. 

A test outcome that could have, but does not run contrary to the hypothesis corroborates the theory. It is then proposed to compare the explanatory value of competing hypotheses by testing how stringently they are corroborated by their predictions.




###### SUBJECT--- SUPEREME COURT ALLOWS CRYPTO CURRENCY TRADING #########

WHY IS SUPREME COURT PLAYING GOD?...

WE THE PEOPLE ASK CJI BOBDE...

WHY IS CHANDRACHUD AND NARIMAN LOVED BY THE JEWISH DEEP STATE ?..

WE KNOW THE TRAITOR JUDGES IN FOREIGN PAYROLL..

WHY DOES PM MODI AND LAW MINISTER PRASAD GIVE SO MUCH OF LEEWAY TO THESE TWO "LIBERAL JUDGES" WHO KICKED BHARATMATA INTO THE KOSHER ADULTERY/ HOMOSEXUAL MANDI?...

WE THE PEOPLE DO NOT WANT CHANDRACUD AS INDIAs CJI.. THE DEEP STATE HAS KEPT HIM IN POLE POSITION.. WE KNOW WHY !!
SUPREME COURT HAS NO POWERS TO INTERFERE IN GOVTS FINANCIAL DECISIONS ..

DESH DROHI INDIANS ARE USING BITCOIN FOR MONEY LAUNDERING , PEDOPHILIA AND FUNDING TERRORISTS AND RUNNING DRUGS..

BITCOIN IS NOT DECENTRALIZED. … KOSHER MINERS ARE THE DE FACTO CENTRAL AUTHORITY IN BITCOIN EXCHANGES….. THEY’RE ACTUALLY CENTRALLY CONTROLLED BY A MAFIA POOL OF KOSHER MINERS, WHO CAN BASICALLY REWRITE BLOCKCHAIN HISTORY AT WILL. …
IN 10 YEARS OF ITS EXISTENCE ALL THAT BLOCKCHAIN HAS ACHIEVED IS TO REGULARIZE GRABBED LAND IN ISRAEL AND GEORGIA BY WHITE JEWS. 

CHANDRABABU NAIDU TRIED TO USE BITCOIN/ BLOCKCHAIN TO REGULARIZE GRABBED LAND AT AMARAVATI….
OUR PM AND LAW MINISTER ARE USELESS ..

OUR JUDICIARY IS THE WORST ON THE PLANET… TRAITORS WHO CREATED THE NAXAL RED CORRIDOR AND CAUSED ETHNIC CLEANSING OF KASHMIRI PANDITS ..

SINCE 1947, RBI HAS BEEN CONTROLLED BY JEW ROTHSCHILD.. ARE WE A BANANA REPUBLIC?...

https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

READ ALL 18 PARTS OF THE POST BELOW

http://ajitvadakayil.blogspot.com/2018/04/blockchain-bitcoin-must-be-kicked-out.html

WE WATCH..

capt ajit vadakayil
..'

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    ASK RBI, RBI GOVERNOR, FINANCE MINISTER, PMO, PM MODI, LAW MINISTER FOR AN ACK..  WITH THIS RULING INDIA WILL NOT BE ABLE TO BECOME THIS PLANETs NO 1 SUPERPOWER IN 13 YEARS ... MODI WILL RUN AWAY TO HIS SAFE HOUSE IN ISRAEL ..
Ransomware  is a form malware that, when downloaded to a device, scrambles or deletes all data until a ransom is paid to restore it. 

In 2020 a new organization will be hit by a ransomware attack every 13.2  seconds.  It has the potential to cripple networks and cause catastrophic harm to infrastructure. 


Ransomware begins with malicious software being downloaded onto an endpoint device, like a desktop computer, laptop or smartphone.  This usually happens because of user error and ignorance of security risks.

One common method of distributing malware is through phishing attacks. This involves an attacker attaching an infected document or URL to an email, while disguising it as being legitimate to trick users into opening it, which will install the malware on their device.

Another popular method of spreading ransomware is using a ‘trojan horse’ virus style. This involves disguising ransomware as legitimate software online, and then infecting devices after users install this software.

Ransomware typically works very quickly. In seconds, the malicious software will take over critical process on the device, and search for files to be encrypted, meaning all of the data within them is scrambled. The ransomware will likely delete any files it cannot encrypt.

The ransomware will then infect any other hard-drives or USB devices connected to the infected host machine. Any new devices or files added to the infected device will also be encrypted after this point. Then, the virus will begin sending out signals to all of the other devices on the network, to attempt to infect them as well.

This whole process happens extremely quickly, and in just a few minutes the device will display a message that looks like this:



As you can see, it’s a ‘cyber blackmail’ note, which tells users that their files are locked, and that if a payment is not made, they will be deleted.


The traitor judges of India have made crypto currency legal in india..


One of the most famous examples of ransomware is the WannaCry ransomware attack. WannaCry was a piece of malware that infected over 242,000 computers across 155 companies within a single day. 

It encrypted all files it found on a device and requested users pay $320 worth of bitcoin payments to restore them.


Payments will be demanded in bitcoin, as this payment method cannot be traced, and there is often a countdown, which puts pressure on companies to act quickly in making payments to attackers.

There are different types of ransomware. Some threaten to release the encrypted data to the public, which may be damaging to companies who need to protect customer or business data. 

Ransomware can be hugely damaging to businesses, causing loss of productivity and often financial losses.  

Most obviously there is the loss of files and data, which may represent hundreds of hours of work, or customer data that is critical to the smooth running of your organization. 

If ISRO or DRDO is affected we know the grave implications.. 

Our 75 year old brain dead NSA Ajit Doval must be put out to pasture…


By targeting people with phishing attacks, attackers can bypass traditional security technologies with ransomware. Email is a weak point in many businesses’ security infrastructure, and hackers can exploit this by using phishing emails to trick users into opening malicious files and attachments. By using trojan horse viruses, hackers also target human error by causing them to inadvertently to download malicious files.


CAN WE EVER EXPECT ILLITERATE CHAIWAALA MODI TO TALK ABOUT RANSOMWARE INSTEAD OF GANDHI AND BR AMBEDKAR IN HIS PATHETIC NAY BULLSHIT MANN KE BAATH ( MEANT FOR MILKING VOTES ? )

As ransomware is commonly delivered through email, email security is crucial to stop ransomware. Secure Email gateway technologies filter email communications with URL defences and attachment sandboxing to identify threats and block them from being delivered to users. This can stop ransomware from arriving on endpoint devices and block users from inadvertently installing ransomware onto their device.   

If a homosexual  gets an “I LOVE YOU” message by email attachment , he is bound to open it.

Ransomware is also commonly delivered through phishing. Secure email gateways can block phishing attacks, but there is also Post-Delivery Protection technologies, which use machine learning and AI algorithms to detect phishing attacks, and display warning banners within emails to alert them that an email may be suspicious. This helps users to avoid phishing emails which may contain a ransomware attack.

DNS Web filtering solutions stop users from visiting dangerous websites and downloading malicious files. This helps to block viruses that spread ransomware from being downloaded from the internet, including trojan horse viruses that disguise malware as legitimate business software. DNS filtering – or Domain Name System filtering to give it its full title – is a technique of blocking access to certain websites, webpages, or IP addresses. DNS is what allows easy to remember domain names to be used – such as Wikipedia.com – rather than typing in very difficult to remember IP addresses – such as 198.35.26.96. DNS maps IP addresses to domain names.

DNS filters can also block malicious third party adverts. Web filters should be configured to aggressively block threats, and to stop users from visiting dangerous or unknown domains. Utilizing Isolation can also be an important tool to stop ransomware downloads. Isolation technologies completely remove threats away from users by isolating browsing activity in secure servers and displaying a safe render to users. This can help to prevent ransomware as any malicious software is executed in the secure container and does not affect the users themselves. The main benefit of Isolation is that it doesn’t impact the user’s experience whatsoever, delivering high security efficacy with a seamless browsing experience.

When a domain is purchased from a domain register and that domain is hosted, it is assigned a unique IP address that allows the site to be located. When you attempt to access a website, a DNS query will be performed. Your DNS server will look up the IP address of the domain/webpage, which will allow a connection to be made between the browser and the server where the website is hosted. The webpage will then be loaded.

So how does DNS web filtering work? With DNS filtering in place, rather than the DNS server returning the IP address if the website exists, the request will be subjected to certain controls. DNS blocking occurs if a particular webpage or IP address is known to be malicious via blacklists or is determined to be potentially malicious by the web filter. Instead of being connected to the website the user was attempting to access, the user is instead directed to a local IP address that displays a block page explaining why the site cannot be accessed.

This control could be applied at the router level, via your ISP, or a third party – a web filtering service provider. In the case of the latter, the user – a business for instance – would point their DNS to the service provider. That service provider maintains a blacklist of malicious webpages/IP addresses. If a site is known to be malicious, access to malicious sites will be blocked.

Since the service provider will also categorize webpages, the DNS filter can also be used to block access to certain categories of webpages – pornography, child pornography, file sharing websites, gambling, and gaming sites for instance. Provided a business creates an acceptable usage policy (AUP)and sets that policy with the service provider, the AUP will be enforced. Since DNS filtering is low-latency, there will be next to no delay in accessing safe websites that do not breach an organization’s acceptable Internet usage policies.

Will a DNS Filter Block All Malicious Websites?
Unfortunately, no DNS filtering solution will block all malicious websites, as in order to do so, a webpage must first be determined to be malicious. If a cybercriminal sets up a brand-new phishing webpage, there will be a delay between the page being created and it being checked and added to a blocklist. However, a DNS web filter will block the majority of malicious websites.

Can DNS Filtering be Bypassed?
The short answer is yes. Proxy servers and anonymizer sites could be used to mask traffic and bypass the DNS filter unless the chosen solution also blocks access to these anonymizer sites. An end user could also manually change their DNS settings locally unless they have been locked down. Determined individuals may be able to find a way to bypass DNS filtering, but for most end users, a DNS filter will block any attempt to access forbidden or harmful website content.

No single cybersecurity solution will allow you to block 100% of malicious websites or all NSFW websites, but DNS filtering should certainly be part of your cybersecurity defences as it will allow the majority of malicious sites and malware to be blocked.

Security Awareness Training solutions typically also provide phishing simulation technologies. This means admins can create customized simulated phishing emails, and send them out to employees to test how effectively they can detect attacks. Phishing simulation is an ideal way to help view your security efficacy across the organization, and is a useful tool to help identify users that need more security training to help stop the spread of ransomware.

If a ransomware attack succeeds and your data is compromised, the best way to protect your organization is to be able to restore the data you need quickly and minimize the downtime. The best way to protect data is to ensure that it is backed up in multiple places, including in your main storage area, on local disks, and in a cloud continuity service. In the event of a ransomware attack, backing up data means you will be able to mitigate the loss of any encrypted files and regain functionality of systems.

The best Cloud Data Backup and Recovery platforms will allow businesses to recover data in the case of a disaster, will be available anytime, and will be easily integrated with existing cloud applications and endpoint devices, with a secure and stable global cloud infrastructure.  Cloud data backup and recovery is an important tools to remediating against Ransomware.


I WAS ONCE ASKED TO FLY TO EUROPE THE MEET THE REAL OWNER OF THE SHIPPING COMPANY ON WHOSE SHIP I WAS TO WORK. 

AS A CAPTAIN YOU RARELY GET TO TALK TO THE SHIPOWNER..

THE OWNER, A YOUNG BLOKE, TOOK ME FOR DINNER AND THEN WHILE WE  WERE SIPPING  PREMIUM WINE, ASKED ME IF THERE IS ANY WAY TO STOP EMBEZZELMENT IN HIS COMPANY..   

HIS COMPANY AND SHIP HAD ALL WHITES..  I WAS A OUTSIDER ,, A BROWN MAN..

HE SAID THAT HE WAS TOLD ONLY CAPT AJIT VADAKAYIL CAN PUT HIS FINGER AT THE RIGHT PLACE AND CONNECT DOTS .

SO I TOLD HIM..

“YOUR COMPANY HAS A SOFTWARE—A BLANKET ONE ENCOMPASSING ALL SHIP AND SHORE OPERATIONS —  WHICH IS “DELIBERATELY “ KEPT TOO COMPLICATED..

THE BIGGEST DRAW BACK IS THAT YOU DON’T GET A BIRDs  EYE VIEW OF THE SITUATION..  YOU ARE FORCED TO BE IN TUNNEL VISION MODE WITH NARROW SPECTRUM POP UP WINDOWS.   NO NORMAL BRAIN CAN COPE UP WITH THIS LOAD.. YOU ARE ARM TWISTED TO TRUST THE SOFTWARE..

UNLESS YOU ARE EXTREMELY BRIGHT, YOU CANT FIGURE OUT HOW MONEY IS BEING BLED..

PEOPLE IN YOUR OFFICE ARE STEALING LEFT, RIGHT AND CENTRE..   THE TECHNICAL SUPERINTENDENTS ARE IN LEAGUE WITH SHIP STAFF TO MAKE FALSE REQUISITIONS , SIGN FAKE INVOICES  ( FOR SHORT SUPPLY/ SERVICES  )  

THIS SHIPOWNER NEARLY CHOKED .. AND HE BEGGED ME TO GIVE SOLUTIONS TO MITIGATE


I DID !


























SOMEBODY CALLED ME UP AND ASKED ME..

CAPTAIN—

WHO IS MUHAMMAD IBN MUSA AL-KHWARIZMI WHOM MODERN HISTORIANS ARE CALLING THE “FATHER OF COMPUTER SCIENCE” AND THE “FATHER OF ALGORITHMS”??.

LISTEN –

ARAB MUHAMMAD IBN MUSA AL-KHWARIZMI WAS A BRAIN DEAD FELLOW WHOSE ENTIRE WORK WAS SOLD TO HIM TRANSLATED INTO ARABIC BY THE CALCIUT KING FOR GOLD.

THE CALICUT KING MADE HIS MONEY BY NOT ONLY SELLING SPICES –BUT KNOWLEDGE TOO.

HE MAMANKAM FEST HELF AT TIRUNAVAYA KERALA BY THE CALICUT KING EVERY 12 YEARS WAS AN OCCASION WHERE KNOWLEDGE WAS SOLD FOR GOLD.

http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html

EVERY ANCIENT GREEK SCHOLAR ( PYTHAGORAS/ PLATO/ SOCRATES ETC ) EXCEPT ARISTOTLE STUDIED AT KODUNGALLUR UNIVERSITY.. THE KERALA SCHOOL OF MATH WAS PART OF IT.

OUR ANCIENT BOOKS ON KNOWLEDGE DID NOT HAVE THE AUTHORs NAME AFFIXED ON THE COVER AS WE CONSIDERED BOOKS AS THE WORK OF SOULS , WHO WOULD BE BORN IN ANOTHER WOMANs WOMB AFTER DEATH.

THE GREEKS TOOK ADVANTAGE OF THIS , STOLE KNOWLEDGE FROM KERALA / INDIA AND PATENTED IT IN THEIR OWN NAMES, WITH HALF BAKED UNDERSTANDING .

WHEN THE KING OF CALICUT CAME TO KNOW THIS, HE BLACKBALLED GREEKS FROM KODUNGALLUR UNIVERSITY .. AND SUDDENLY ANCIENT GREEK KNOWLEDGE DRIED UP LIKE WATER IN THE HOT DESERT SANDS.

LATER THE CALICUT KING SOLD TRANSLATED INTO ARABIC KNOWLEDGE TO BRAIN DEAD ARABS LIKE MUHAMMAD IBN MUSA AL-KHWARIZMI FOR GOLD..

THESE ARAB MIDDLE MEN SOLD KNOWLEDGE ( LIKE MIDDLEMEN FOR SPICES) TO WHITE MEN FOR A PREMIUM.

FIBONACCI TOOK HIS ARABIC WORKS TO ITALY FROM BEJAYA , ALGERIA.

http://ajitvadakayil.blogspot.com/2010/12/perfect-six-pack-capt-ajit-vadakayil.html

EVERY VESTIGE OF ARAB KNOWLEDGE IN THE MIDDLE AGES WAS SOLD IN TRANSLATED ARABIC BY KODUNGALLUR UNIVERSITY FOR GOLD..

FROM 800 AD TO 1450 AD KODUNGALLUR UNIVERSITY OWNED BY THE CALICUT KING EARNED HUGE AMOUNT OF GOLD FOR SELLING READY MADE TRANSLATED KNOWLEDGE ..

THIS IS TIPU SULTANS GOLD WHO STOLE IT FROM NORTH KERALA TEMPLE VAULTS.. ROTHSCHILD BECAME THE RICHEST MAN ON THIS PLANET BY STEALING TIPU SUTANs GOLD IN 1799 AD.

http://ajitvadakayil.blogspot.com/2011/10/tipu-sultan-unmasked-capt-ajit.html

WHEN TIPU SULTAN WAS BLASTING TEMPLE VAULTS, LESS THAN 1% OF THE GOLD WAS SECRETLY TRANSFERRED TO SOUTH KERALA ( TRADITIONAL ENEMIES ) OF THE CALICUT KING. LIKE HOW SADDAM HUSSAIN FLEW HIS FIGHTER JETS TO ENEMY IRAN .

THIS IS THE GOLD WHICH WAS UNEARTHED FROM PADMANABHASWAMY TEMPLE..

http://ajitvadakayil.blogspot.com/2013/01/mansa-musa-king-of-mali-and-sri.html

ALGORITHMS ARE SHORTCUTS PEOPLE USE TO TELL COMPUTERS WHAT TO DO. AT ITS MOST BASIC, AN ALGORITHM SIMPLY TELLS A COMPUTER WHAT TO DO NEXT WITH AN “AND,” “OR,” OR “NOT” STATEMENT.

THE ALGORITHM IS BASICALLY A CODE DEVELOPED TO CARRY OUT A SPECIFIC PROCESS. ALGORITHMS ARE SETS OF RULES, INITIALLY SET BY HUMANS, FOR COMPUTER PROGRAMS TO FOLLOW.

A PROGRAMMING ALGORITHM IS A COMPUTER PROCEDURE THAT IS A LOT LIKE A RECIPE (CALLED A PROCEDURE) AND TELLS YOUR COMPUTER PRECISELY WHAT STEPS TO TAKE TO SOLVE A PROBLEM OR REACH A GOAL.

THERE IS NO ARTIFICIAL INTELLIGENCE WITHOUT ALGORITHMS. ALGORITHMS ARE, IN PART, OUR OPINIONS EMBEDDED IN CODE.

ALGORITHMS ARE AS OLD AS DANAVA CIVILIZATION ITSELF – THIEF GREEK EUCLID’S ALGORITHM BEING ONE OF THE FIRST EXAMPLES DATING BACK SOME 2300 YEARS

EUCLID JUST PATENTED MATH HE LEARNT IN THE KERALA SCHOOL OF MATH IN HIS OWN NAME.. EUCLID IS A THIEF LIKE PYTHAGORAS WHO LEARNT IN THE KERALA SCHOOL OF MATH.

http://ajitvadakayil.blogspot.com/2011/01/isaac-newton-calculus-thief-capt-ajit.html

ALGEBRA DERIVED FROM BRAIN DEAD AL-JABR, ONE OF THE TWO OPERATIONS HE USED TO SOLVE QUADRATIC EQUATIONS.

ALGORISM AND ALGORITHM STEM FROM ALGORITMI, THE LATIN FORM OF HIS NAME.


CONTINUED TO 2--

  1. CONTINUED FROM 1-

    BRAIN DEAD CUNT AL-KHWARIZMI DEVELOPED THE CONCEPT OF THE ALGORITHM IN MATHEMATICS -WHICH IS A REASON FOR HIS BEING CALLED THE GRANDFATHER OF COMPUTER SCIENCE ( SIC ).. THEY SAY THAT THE WORD “ALGORITHM” IS ACTUALLY DERIVED FROM A LATINIZED VERSION OF AL-KHWARIZMI’S NAME BRAAAYYYYYYY.

    ALGORITMI DE NUMERO INDORUM IN ENGLISH AL-KHWARIZMI ON THE HINDU ART OF RECKONING GAVE RISE TO THE WORD ALGORITHM DERIVING FROM HIS NAME IN THE TITLE. THE WORK DESCRIBES THE HINDU PLACE-VALUE SYSTEM OF NUMERALS BASED ON 1, 2, 3, 4, 5, 6, 7, 8, 9, AND 0. THE FIRST USE OF ZERO AS A PLACE HOLDER IN POSITIONAL BASE NOTATION WAS DUE TO AL-KHWARIZMI IN THIS WORK.

    ANOTHER IMPORTANT WORK BY AL-KHWARIZMI WAS HIS WORK SINDHIND ZIJ ON ASTRONOMY. THE WORK, DESCRIBED IN DETAIL IN , IS BASED IN INDIAN ASTRONOMICAL WORKS..

    THE MAIN TOPICS COVERED BY AL-KHWARIZMI IN THE SINDHIND ZIJ ARE CALENDARS; CALCULATING TRUE POSITIONS OF THE SUN, MOON AND PLANETS, TABLES OF SINES AND TANGENTS; SPHERICAL ASTRONOMY; ASTROLOGICAL TABLES; PARALLAX AND ECLIPSE CALCULATIONS; AND VISIBILITY OF THE MOON. A RELATED MANUSCRIPT, ATTRIBUTED TO AL-KHWARIZMI, ON SPHERICAL TRIGONOMETRY IS DISCUSSED..

    PTOLEMY’ ENTIRE WORKS ARE LIFTED FROM KODUNGALLUR UNIVERSITY KERALA OWNED BY THE CALICUT KING. AL-KHWARIZMI'S TABLES WERE CAST ON PTOLEMY’S TABLES.

    AL-KHWARIZMI WROTE ON THE ASTROLABE AND SUNDIALS ,WHICH ARE HINDU INSTRUMENTS

    THERE IS A STATUE OF MUHAMMAD IBN MUSA AL-KHWARIZMI HOLDING UP AN ASTROLABE IN FRONT OF THE FACULTY OF MATHEMATICS OF AMIRKABIR UNIVERSITY OF TECHNOLOGY IN TEHRAN . HE GOT AN ASTROLABE INSTRUMENT AND TRANSLATED INTO ARABIC NOTES OF THE MANUAL ( BOTH CONSTRUCTION AND OPERATIONAL ) FOR GOLD .. HIS ASTROLABE INSTRUMENT HAD PLATES FOR MECCA/ ISTANBUL/ ALEXANDRIA.

    ASTROLABE BRASS INSTRUMENTS WERE SOLD BY KODUNGALLUR UNIVERSITY PROFESSORS AT THE LIBRARY OF CORDOBA IN SPAIN..

    THESE SIMPLE BRASS DEEP SEA NAVIGATION INSTRUMENTS WERE PRODUCED MUCH BEFORE THE COMPLICATED ANTIKYTHERA AUTOMATIC ( PERPETUAL MOTION ) MECHANISM..

    THE DEEP SEA NAVIGATING SHIPS OF QUEEN DIDO , A KERALA THIYYA PRINCESS WHO TAUGHT AT THE UNIVERSITY OF ALEXANDRIA IN 1600 BC ( ON DEPUTATION FROM KODUNGALLUR UNIVERSITY ) CARRIED THESE INSTRUMENTS..

    http://ajitvadakayil.blogspot.com/2019/05/the-ancient-7000-year-old-shakti.html

    ASTROLABE IT IS AN ELABORATE INCLINOMETER, HISTORICALLY USED BY ASTRONOMERS AND NAVIGATORS TO MEASURE THE ALTITUDE ABOVE THE HORIZON OF A CELESTIAL BODY, DAY OR NIGHT.

    IT CAN BE USED TO IDENTIFY STARS OR PLANETS, TO DETERMINE LOCAL LATITUDE GIVEN LOCAL TIME (AND VICE VERSA), TO SURVEY, OR TO TRIANGULATE. ASTROLABE WAS CALLED SITARA YANTRA..

    http://ajitvadakayil.blogspot.com/2019/09/onam-our-only-link-to-planets-oldest.html

    AN ASTROLABE (SOLD IN CORDOBA SPAIN ) WAS EXCAVATED FROM THE WRECK SITE OF A PORTUGUESE ARMADA SHIP AS THE OLDEST IN THE WORLD. THEY ALSO CERTIFIED A SHIP'S BELL -- DATED 1498 -- RECOVERED FROM THE SAME WRECK SITE ALSO AS THE OLDEST IN THE WORLD.

    DONT EVER THINK THAT VASCO DA GAMA AND COLUMBUS NAVIGATED ON WESTERN TECHNOLOGY.. THEY USED ANCIENT DEEP SEA NAVIGATING INSTRUMENTS OF ANCIENT KERALA THIYYA NAVIGATORS..

    DIOPHANTUS STUDIED IN KODUNGALLUR UNIVERSITY. HE IS THE AUTHOR OF A SERIES OF BOOKS CALLED ARITHMETICA, ALL LIFTED FROM KERALA SCHOOL OF MATH.

    THIEF DIOPHANTUS WAS THE FIRST GREEK MATHEMATICIAN WHO RECOGNIZED FRACTIONS AS NUMBERS; THUS HE ALLOWED POSITIVE RATIONAL NUMBERS FOR THE COEFFICIENTS AND SOLUTIONS.

    IN MODERN USE, DIOPHANTINE EQUATIONS ARE USUALLY ALGEBRAIC EQUATIONS WITH INTEGER COEFFICIENTS, FOR WHICH INTEGER SOLUTIONS ARE SOUGHT. DIOPHANTUS WAS A BRAIN DEAD FELLOW WHO STOLE HIS ALGEBRA FROM THE KERALA SCHOOL OF MATH.

    MEDIOCRE BRAIN JEW ALBERT EINSTEIN WAS A THIEF… HE STOLE FROM PART TWO ( BRAHMANAS ) AND PART THREE ( ARANYAKAS ) OF THE VEDAS..

    http://ajitvadakayil.blogspot.com/2018/11/albert-einstein-was-thief-plagiarist.html

    LIES WONT WORK.. A BROWN BLOGGER IS IN TOWN !

    Capt ajit vadakayil
    ..




THIS POST IS NOW CONTINUED TO PART 16, BELOW--






CAPT AJIT VADAKAYIL
..

WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 16 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 15, BELOW--



AI IS USED BY JEWS TO OBFUSCATE ,  HIDE HUMONGOUS CRIMES ,  EMBEZZLE MONEY,  RUN DRUGS,  BRING DOWN GOVERNMENTS ( BY HYPER INFLATION  EXAMPLE VENEZUELA ) , GRAB LAND ( BLOCKCHAIN  IN ISRAEL) ,  SUSTAIN TERRORISM --  AND THE WHOLE WORLD HAS ACQUIESCED..

I WAS ONCE ASKED TO FLY TO EUROPE THE MEET THE REAL OWNER OF THE SHIPPING COMPANY ON WHOSE SHIP I WAS TO WORK. 

AS A CAPTAIN YOU RARELY GET TO TALK TO THE SHIPOWNER..

THE OWNER, A YOUNG BLOKE, TOOK ME FOR DINNER AND THEN WHILE WE  WERE SIPPING  PREMIUM WINE, ASKED ME IF THERE IS ANY WAY TO STOP EMBEZZELMENT IN HIS COMPANY..   HIS COMPANY AND SHIP HAD ALL WHITES..  I WAS A OUTSIDER ,, A BROWN MAN..

HE SAID THAT HE WAS TOLD ONLY CAPT AJIT VADAKAYIL CAN PUT HIS FINGER AT THE RIGHT PLACE AND CONNECT DOTS .

SO I TOLD HIM..

“YOUR COMPANY HAS A SOFTWARE—A BLANKET ONE ENCOMPASSING ALL SHIP AND SHORE OPERATIONS —  WHICH IS “DELIBERATELY “ KEPT TOO COMPLICATED..

THE BIGGEST DRAW BACK IS THAT YOU DON’T GET A BIRDs  EYE VIEW OF THE SITUATION..  YOU ARE FORCED TO BE IN TUNNEL VISION MODE WITH NARROW SPECTRUM POP UP WINDOWS.   NO NORMAL BRAIN CAN COPE UP WITH THIS LOAD.. YOU ARE ARM TWISTED TO TRUST THE SOFTWARE..

UNLESS YOU ARE EXTREMELY BRIGHT, YOU CANT FIGURE OUT HOW MONEY IS BEING BLED..

PEOPLE IN YOUR OFFICE ARE STEALING LEFT, RIGHT AND CENTRE..   THE TECHNICAL SUPERINTENDENTS ARE IN LEAGUE WITH SHIP STAFF TO MAKE FALSE REQUISITIONS , SIGN FAKE INVOICES  ( FOR SHORT SUPPLY/ SERVICES  ) ” 

THIS SHIPOWNER NEARLY CHOKED .. AND HE BEGGED ME TO GIVE SOLUTIONS TO MITIGATE


I DID !



The consequences of embezzlement can be catastrophic to a small business who though they employed trustworthy staff

Embezzlement is when an employee or someone else in a trusted position steals from your business. They use the money or other assets for their own use.

Embezzlement often implies a white collar crime where funds are taken from bank accounts, or perhaps where check forgery or payroll fraud is involved.  But it’s not limited to those circumstances.

Here are a few embezzlement examples and workplace thefts to watch out for:--

Forging Checks

The employee writes company checks or makes electronic payments to himself. The employee then cooks the books to hide the theft.

This classic embezzlement example is made easier when a company uses a signature stamp of an executive’s signature.  A signature stamp is literally like handing employees a blank check because they can “sign” checks without your knowledge.

Prevention:  Separate responsibilities: one worker to process checks and another to reconcile transactions and approve documentation. If you don’t have enough staff for separate functions, then reconcile bank statements yourself. Require purchase orders or invoices for every payment. And stop using a signature stamp — or keep it under lock and key.

Cashing Customer Checks

The employee endorses and cashes customer checks payable to the company, then keeps the funds.

Today, as more payments become electronic the essential crime is the same. The employee may set up a bank account with a fictitious name similar to the employer’s to divert electronic payments into. Small banks and credit unions can be lax in allowing accounts to be established by the employee using fake “doing business as” names.

Prevention:  Separate the functions so that one person is responsible for processing payments and another for reconciling accounting entries. Implement controls to track customer payments at every step to avoid this kind of embezzlement.

Faking Vendor Payments

Next on our list of embezzlement examples is when an employee steals company funds, but tries to hide them as payments to vendors. Faithless employees may create fake vendor invoices and change accounting system entries to hide their tracks.

Prevention:  Regularly review detailed expense reports (not just summary reports) broken down by vendor, amount and purpose. If you stay familiar with your numbers, it’s easier to spot when a payment or accounting entry looks suspicious. If your company is big enough, separate the functions employees perform.

Overbilling Customers

The employee overbills customers, keeps the extra money and covers it up with false accounting entries.

Sometimes this a large-scale fraud where each customer or transaction is overbilled by a small “fee” for years. Other times it involves double billing the same amount twice or tacking on charges for items the customer did not buy.

You might be tempted to think of this as stealing from customers, but it’s really a type of embezzlement. Your company bears responsibility for overbillings and will have to make good to customers.

Prevention:  Conduct a periodic audit of customer billings. Pay close attention to customer complaints about billing errors and require thorough explanations from staff of how they occurred. Complaints may be a warning sign of a bigger problem.

Theft of Customer Card Data

An employee who takes phone orders may later use the customer’s credit card data to charge personal purchases online. Or a gas station manager may use a skimmer device to skim card data from terminals at the pumps.

A more nerdy version is when an employee downloads credit card data from company IT systems. Then he or she sells it on the dark web.

Prevention:  Limit access to customer data to only those who need it. Deploy technology that redacts credit card numbers or only prints out the last digits, to limit trash harvesting or unintentional sharing. Change permissions when someone with IT access leaves the company. If you use card terminals, install anti-skimming technology — some municipalities now require it.

Padding An Expense Account

Padding examples range from the occasional attempt to justify an expensive lunch using a “creative” description, all the way to elaborate embezzlement schemes.

Large enterprises take padding seriously – shouldn’t you? A Hewlett Packard CEO was ousted back in 2010 in the face of allegations he padded his expense account to hide an extramarital affair. HP saw the issue as one of trust.

Prevention:  Have a written policy detailing what is — and is not — reimbursable. Go over the policy in staff meetings. If employees do a lot of business travel, consider using an expense management app to control approvals and see scanned receipts all in one place.

Double Dipping

Next on our list of embezzlement examples is when there’s a single legitimate business expense, but the employee gets two reimbursements. She first pays for an expense with the company credit card. Later she submits a cash reimbursement request for the same expense.

Prevention:  Insist on seeing underlying receipts for all expenses (don’t just review the credit card statement). Use expense management software if your employees incur a lot of reimbursable expenses.

Using a Company Credit Card For Personal Use

The employee pays for personal expenses using a company credit card. The good news is, often these thefts are sporadic and the amounts are small.

However, what if the same employee also manages the accounting system and realizes no one but her pays attention?  Using a company credit card for personal use can turn into massive embezzlement examples when combined with falsified accounting records.

Prevention: Always have two people involved in the process: one to approve expenses and one to handle accounting. Require documentation of the expense purpose.

Voiding Transactions At The Cash Register

An associate at the cash register voids transactions and pockets the cash. This is a common way of skimming money from a retail small business.

Prevention:  Newer point-of-sale systems have security protocols to help prevent this kind of theft. For example, they allow clearance levels so you can require manager approval to void a sale. Employee ID numbers track how often a particular staff member voids transactions so you can spot repeat offenders.

Siphoning Off Cash Deposits

Before dropping off the cash deposit bag at the bank in the evening, the employee pockets some of the cash. The amount may be small enough not to be missed — perhaps $100. But week after week, it adds up to thousands of dollars.

Prevention:  Personally count the day’s cash, complete the deposit slip and enter the amount into the accounting records yourself before handing off the bag. Or separate the functions so two people are involved. Other strategies may help, such as security cameras in the area where cash is counted along with using locked deposit bags. See more tips for cash processing.

Raiding the Petty Cash Box or Safe

This theft can be as simple as the employee taking $200 out of the safe or petty cash box.

Prevention:  Lock up large sums and keep the key yourself, to minimize access and temptation by employees. Or use security cameras. Read: 20 Cash Handling Best Practices.

Pocketing Cash From Fundraisers

Skimming fundraiser money is all too common in non-profits. But this type of fraud also  occurs in businesses that take on a charitable cause. If one person has complete control over the money, from start to finish, the temptation to steal can prove too great.

Prevention: Always have at least two people involved in the workflow of collecting, recording, depositing and remitting donations. Don’t give temptation a chance.

Stealing Office Supplies

It’s shocking how many employees seem to feel it is okay to take large amounts of office supplies home. Theft of supplies usually involves consumable items like postage stamps, Post-it notes or coffee supplies.

The owners of one business started during the Great Depression had a solution. They were so frugal they required employees to turn in their pencils at the end of each day!  You don’t need to keep THAT tight a rein. But reasonable controls are a best practice.

Prevention:  Put most of your supplies under lock and key and replenish an open supply area sparingly, to keep shrinkage small. A security camera may help. Discuss the use of supplies in a company meeting to set the tone and convey company values.

In construction and manufacturing businesses, an employee may hide company property in a dumpster or storage area and retrieve it after hours.

Equipment theft also occurs in offices. Think laptops or small document scanners that can be slipped into a backpack or handbag.

Prevention:  Lock up or bolt down valuable items if feasible. Label important equipment with a number and let employees know you plan regular audits to ensure items are still on site. Use security cameras and electronic access systems.

Stealing Products

The employee steals company products. Examples include jewelry or perfume from a high end retail shop. Typical victims are small retailers that lack shrinkage controls. It is stunning how many owners simply stuff inventory into a storeroom with no tracking system.

Another variation is when a waiter does not charge friends for food or drinks in a restaurant.

Prevention:  Use security cameras. Implement an inventory management system and regularly check inventory levels. There’s even POS technology that tracks voided transactions and discounts, and alerts the owner or manager.

Burglarizing Company Premises

Think classic inside job — with or without accomplices. The employee leaves a door unlocked or uses a key to get in after hours. Your company gets ripped off.

Prevention:  Install security cameras. Implement an electronic security system to secure after-hours access, and record who is coming and going.

Stealing Returned Merchandise

This theft can occur in a retail or ecommerce setting, or in any business that swaps out old equipment. The employee simply takes returned items home or resells them on Craigslist or eBay.

A lack of controls makes this theft easier. In some small businesses, returns may be stacked haphazardly in a corner. Is it any wonder they disappear?

Prevention:  Implement control systems for managing returns and other property.

Claiming a Company Laptop Was Lost

The employee gives a laptop or mobile device to a family member and tells the employer it was lost. The company then replaces the item.

Prevention: Use device management software that enables the company to disable lost devices and track their location.

Setting Up Fake Employees

The embezzling employee sets up fake employees, pockets the pay, and cooks the books to hide the transaction. This happens in businesses with absentee owners or over-trusting owners who do not pay attention.

Prevention:  Implement systems to reconcile headcount with staffing expenses. Regularly review a detailed headcount report breaking down expenses by employee. Remember, detailed reports are your friend. Embezzlement is much harder to spot if all you ever look at are summary reports or a high-level P&L.

Falsifying Overtime

This may include schemes where co-workers clock in and out for each other. Or it may involve a payroll clerk creating false entries for supposed overtime that he pays himself.

Prevention:  Use electronic timesheet systems. Watch overtime pay closely for unusual increases. Compare detailed reports to identify exactly which employees are getting overtime and when — you may spot suspicious patterns.

Failing To Remit Payroll Tax Money

The employee embezzles money earmarked for the employer’s payroll tax remittances or other tax money. Eventually the taxing authority will come down hard on the business owner for not sending in the tax money, and may file a lien against the business or seize property. So not only do you face losses from embezzlement, but you have the IRS on your tail — a double whammy!

This embezzlement example is perpetrated by dishonest bookkeepers, financial staff, payroll clerks and even small outside payroll services.

Prevention:  Outsource to a large reputable payroll service such as Paychex or ADP. It goes a long way to prevent an embezzlement nightmare. Or require a regular audit by an outside accounting firm.

Collecting Kickbacks From Vendors

In this scheme, the employee gets vendor kickbacks and you are unaware. Kickbacks can be cash. They also can take the form of additional products and services used in an employee’s side business or home. A warning sign is an unusually close relationship between a vendor and an employee.

Prevention:  Get involved in choosing vendors yourself. This minimizes collusion between vendors and faithless employees.

Selling Trade Secrets; Corporate Espionage

The employee sells sensitive information to a competitor. Or the employee takes  confidential documents and trade secrets with him when switching jobs.

You see this in high tech startups. For example, a former Google executive was indicted on criminal charges for stealing 14,000 files for self-driving car technology and taking them to a startup later acquired by Uber.

Prevention:  Have strong employee agreements. Shared cloud storage systems help you manage and track who has access to what.

Business Identity Theft

An employee secures a line of credit or loan in your company name, using the money for personal purchases. The embezzler then uses company funds to make the payments. Typical embezzlers are finance staff or bookkeepers with access to accounting records and legitimate accounts used to cover their tracks.

A similar theft is when a partner or family member in a family business takes out unauthorized loans in the company name.

Prevention:  Implement internal controls for checks and balances. Require detailed reports to see where money is going. Sudden cash flow issues or a negative change in your company credit score may be warning signs of embezzlement.  Pay particular attention to services like PayPal and others than allow pre-approved loans or advances against your account.

Starting A Business Using Company Resources

In this situation, employees start their own businesses on company time. In the worst situations employees use company resources such as software code in their new software product, or steal raw materials.

Make no mistake about it: this is theft. Yet, some delusional souls brag on social media about what they are doing!

Still, the employer may get the last laugh. Why? Because generally speaking, an employer owns all work product created on company time.

Prevention:  Set expectations properly with employees — and make your policy clear, whatever is. Some employers encourage side businesses but others have a no moonlighting policy. Even if you allow side businesses, make it clear that activities  should not be conducted during work hours, and company resources may not be used.

Final Thoughts on Embezzlement


It’s important to be an engaged business owner. Pay attention, ask questions and review detailed reports. Deploy technology to control access and approval levels, and provide early warning of anything unusual. Most of all, implement checks and balances in your processes to make sure no single employee has complete control. Steps like these help protect the livelihoods of everyone in the business.

  1. https://asiatimes.com/2020/03/china-suppressed-covid-19-with-ai-and-big-data/

    SOMEBODY ASKED ME-- CAPTAIN, WHAT IS BIG DATA?

    AI HAS THE CAPABILITY OF WORKING ON ENORMOUS AMOUNTS OF DATA. THE DATA COLLECTED IS NOT JUST SIMPLE DATA BUT RATHER DATA THAT INCLUDES EVERY MINUTE DETAIL ABOUT AN EVENT OR TRANSACTION. THIS IS ALSO KNOWN AS “BIG DATA”.

    BIG DATA IS A FIELD THAT TREATS WAYS TO ANALYZE, SYSTEMATICALLY EXTRACT INFORMATION FROM, OR OTHERWISE DEAL WITH DATA SETS THAT ARE TOO LARGE OR COMPLEX TO BE DEALT WITH BY TRADITIONAL DATA-PROCESSING APPLICATION SOFTWARE.

    DATA WITH MANY CASES (ROWS) OFFER GREATER STATISTICAL POWER, WHILE DATA WITH HIGHER COMPLEXITY (MORE ATTRIBUTES OR COLUMNS) MAY LEAD TO A HIGHER FALSE DISCOVERY RATE.BIG DATA CHALLENGES INCLUDE CAPTURING DATA, DATA STORAGE, DATA ANALYSIS, SEARCH, SHARING, TRANSFER, VISUALIZATION, QUERYING, UPDATING,

    INFORMATION PRIVACY AND DATA SOURCE. BIG DATA WAS ORIGINALLY ASSOCIATED WITH THREE KEY CONCEPTS: VOLUME, VARIETY, AND VELOCITY.

    WHEN WE HANDLE BIG DATA, WE MAY NOT SAMPLE BUT SIMPLY OBSERVE AND TRACK WHAT HAPPENS. THEREFORE, BIG DATA OFTEN INCLUDES DATA WITH SIZES THAT EXCEED THE CAPACITY OF TRADITIONAL SOFTWARE TO PROCESS WITHIN AN ACCEPTABLE TIME AND VALUE.

    KOSHER INSURANCE COMPANIES MANIPULATE BIG DATA TO LAUGH ALL THE WAY TO THE BANK..

    ON AUG. 6, 2019, THE U.S. FOOD AND DRUG ADMINISTRATION (FDA) PUBLICLY REBUKED THE SWISS PHARMACEUTICAL COMPANY NOVARTIS FOR MANIPULATING DATA INVOLVING ITS $2.1 MILLION GENE THERAPY.

    RESULTS ARE OFTEN DIFFICULT TO REPRODUCE ACCURATELY, BEING OBSCURED BY NOISE, ARTIFACTS, AND OTHER EXTRANEOUS DATA.

    THAT MEANS THAT EVEN IF A SCIENTIST DOES FALSIFY DATA, THEY CAN EXPECT TO GET AWAY WITH IT – OR AT LEAST CLAIM INNOCENCE IF THEIR RESULTS CONFLICT WITH OTHERS IN THE SAME FIELD.

    THERE ARE NO "SCIENTIFIC POLICE" WHO ARE TRAINED TO FIGHT SCIENTIFIC CRIMES; ALL INVESTIGATIONS ARE MADE BY EXPERTS IN SCIENCE BUT AMATEURS IN DEALING WITH CRIMINALS.

    IT IS RELATIVELY EASY TO CHEAT ALTHOUGH DIFFICULT TO KNOW EXACTLY HOW MANY SCIENTISTS FABRICATE DATA

    https://www.statnews.com/2019/10/29/data-falsification-still-problematic-china-india-generic-drug-plants/

    FABRICATION IS MAKING UP RESULTS AND RECORDING OR REPORTING THEM. THIS IS SOMETIMES REFERRED TO AS "DRYLABBING". A MORE MINOR FORM OF FABRICATION IS WHERE REFERENCES ARE INCLUDED TO GIVE ARGUMENTS THE APPEARANCE OF WIDESPREAD ACCEPTANCE, BUT ARE ACTUALLY FAKE, OR DO NOT SUPPORT THE ARGUMENT.

    FALSIFICATION IS MANIPULATING RESEARCH MATERIALS, EQUIPMENT, OR PROCESSES OR CHANGING OR OMITTING DATA OR RESULTS SUCH THAT THE RESEARCH IS NOT ACCURATELY REPRESENTED IN THE RESEARCH RECORD.

    FOR CASES OF FABRICATED EVIDENCE, THE CONSEQUENCES CAN BE WIDE-RANGING, WITH OTHERS WORKING TO CONFIRM (OR REFUTE) THE FALSE FINDING, OR WITH RESEARCH AGENDAS BEING DISTORTED TO ADDRESS THE FRAUDULENT EVIDENCE.

    THE PILTDOWN MAN / PEKING MAN/ LUCY FRAUDS ARE CASES IN POINT—TO PROVE THAT MAD MAN CHARLES DARWIN IS RIGHT.. EVEN GOOGLE PLAYED KOSHER BALL GIVING A DOODLE TO LUCY THE MISSING LINK..

    EVIL PHARMA HIRES HIT MEN MERCENARIES TO KILL WHISTLE BLOWERS..

    IN STATISTICS, A MISLEADING GRAPH, ALSO KNOWN AS A DISTORTED GRAPH, IS A GRAPH THAT MISREPRESENTS DATA, CONSTITUTING A MISUSE OF STATISTICS AND WITH THE RESULT THAT AN INCORRECT CONCLUSION MAY BE DERIVED FROM IT.

    THERE IS A FOREIGN PAYROLL LOBBY IN INDIA TOSHOWCASE THAT INDIA IS A BEGGAR NATION ( UNDER MODI ) , WHEN INDIA IS THE ONLY ROARING ECONOMY ON THIS PLANET,, THE ONLY ONE WITH POTENTIAL.

    CONTINUED TO 2-
    1. CONTINUED FROM 1--

      ROTHSCHILDs RATING AGENCIES FITCH/ MOODYs / S&P ARE PART OF THIS CONSPIRACY..

      MISLEADING GRAPHS MAY BE CREATED INTENTIONALLY TO HINDER THE PROPER INTERPRETATION OF DATA

      THE FIELD OF DATA VISUALIZATION DESCRIBES WAYS TO PRESENT INFORMATION THAT AVOIDS CREATING MISLEADING GRAPHS. DATA VISUALIZATION IS THE GRAPHIC REPRESENTATION OF DATA.

      ACCOUNTING FRAUD IS THE INTENTIONAL MANIPULATION OF FINANCIAL STATEMENTS TO CREATE A FALSE APPEARANCE OF CORPORATE FINANCIAL HEALTH.

      THE ENRON SCANDAL IS ONE OF THE MOST FAMOUS EXAMPLES OF ACCOUNTING FRAUD IN HISTORY. WE STILL HAVE NOT PUNISHED ENRON.. THE CEO OF ENRON REBECCA MARKS USED TO COME TO INDIA IN MINISKIRT WITHOUT PANTIES AND FLASH HER BLONDE HAIRY TWAT AT MARATHA MANOOS POLITICIANS.

      Read all 33 parts -
      http://ajitvadakayil.blogspot.in/2017/02/shell-companies-for-money-laundering.html

      FROM SHARAD PAWAR TO SURESH PRABHU, THE ENRON-DABHOL SAGA HAS INDEED TRAVELLED A LONG DISTANCE—KICKED UNDER THE KOSHER CARPET .

      I EXPOSED ENRON AND THEIR INDIAN AGENTS— BUT HEY, MODI DISHED OUT PADMA VIBHUSHAN TO THE POINT MAN POLITICIAN. THIS IS THE SAD STORY OF INDIA...

      capt ajit vadakayil
      ..

CURRENT USAGE OF THE TERM BIG DATA TENDS TO REFER TO THE USE OF PREDICTIVE ANALYTICS, USER BEHAVIOR ANALYTICS, OR CERTAIN OTHER ADVANCED DATA ANALYTICS METHODS THAT EXTRACT VALUE FROM DATA, AND SELDOM TO A PARTICULAR SIZE OF DATA SET.

DATA SETS GROW RAPIDLY, TO A CERTAIN EXTENT BECAUSE THEY ARE INCREASINGLY GATHERED BY CHEAP AND NUMEROUS INFORMATION-SENSING INTERNET OF THINGS DEVICES SUCH AS MOBILE DEVICES, AERIAL (REMOTE SENSING), SOFTWARE LOGS, CAMERAS, MICROPHONES, RADIO-FREQUENCY IDENTIFICATION (RFID) READERS AND WIRELESS SENSOR NETWORKS


BIG DATA ANALYTICS EFFICIENTLY HELPS OPERATIONS TO BECOME MORE EFFECTIVE. THIS HELPS IN IMPROVING THE PROFITS OF THE COMPANY. BIG DATA ANALYTICS TOOLS LIKE HADOOP HELPS IN REDUCING THE COST OF STORAGE. THIS FURTHER INCREASES THE EFFICIENCY OF THE BUSINESS. 

HADOOP IS AN OPEN-SOURCE SOFTWARE FRAMEWORK USED FOR STORING AND PROCESSING BIG DATA IN A DISTRIBUTED MANNER ON LARGE CLUSTERS OF COMMODITY HARDWARE.



CAN AI EVER BE THE JUDGE OF A HUMOR CONTEST ?













JEW ROTHSCHILD WHO COOLED UP PALI SPEAKING / PIG EATING GAUTAMA BUDDHA AND PALI SCRIPT FOR THIS BURMESE DIALECT , CONVERTED—

SHRADDHA TO SADDA
CHAKRA TO CHAKKA,
DHARMA TO DHAMMA,
KARMA TO KAMMA,
SUTRA TO SUTTA ,
SATVA TO SATTA ,
PUTRA TO PUTTA ,
VASTU TO VATTU ETC..

SO ROMILA BABY , LET US ALL DANCE TO HUMMA ( HARAMI ).

https://www.youtube.com/watch?v=IhdUyiK-TTI

capt ajit vadakayil
..

SEND THIS COMMENT TO ROMILA THAPAR


THIS POST IS NOW CONTINUED TO PART 17, BELOW--





CAPT AJIT VADAKAYIL

..

WHAT ARTIFICIAL INTELLIGENCE CANNOT DO , a grim note to the top 100 intellectuals of this planet , Part 17 - Capt Ajit Vadakayil

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THIS POST IS CONTINUED FROM PART 16, BELOW--


https://ajitvadakayil.blogspot.com/2020/03/what-artificial-intelligence-cannot-do.html


OBJECTIVE AI CANNOT HAVE A VISION,   IT CANNOT PRIORITIZE,    IT CANT GLEAN CONTEXT,    IT CANT TELL THE MORAL OF A STORY ,   IT CANT RECOGNIZE A JOKE,    IT CANT DRIVE CHANGE,     IT CANNOT INNOVATE,  IT CANNOT DO ROOT CAUSE ANALYSIS ,   IT CANNOT MULTI-TASK,    IT CANNOT DETECT SARCASM,   IT CANNOT DO DYNAMIC RISK ASSESSMENT ,   IT IS UNABLE TO REFINE OWN KNOWLEDGE TO WISDOM,   IT IS BLIND TO SUBJECTIVITY,   IT CANNOT EVALUATE POTENTIAL,    IT CANNOT SELF IMPROVE WITH EXPERIENCE,    IT DOES NOT UNDERSTAND BASICS OF CAUSE AND EFFECT,    IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,     IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,   IT CANNOT MENTOR,    IT CANNOT BE CREATIVE,   IT CANNOT TEACH OR ANSWER STUDENTs QUESTIONS,   IT CANNOT PATENT AN INVENTION,  IT CANNOT SEE THE BIG PICTURE ,  IT CANNOT FIGURE OUT WHAT IS MORALLY WRONG,  IT CAN BE FOOLED EASILY USING DECOYS WHICH CANT FOOL A CHILD,  IT IS PRONE TO CATASTROPHIC FORGETTING,  IT HAS NO INTENTION ,  IT CANNOT EVEN SET A GOAL … 



ON THE CONTRARY IT CAN SPAWN FOUL AND RUTHLESS GLOBAL FRAUD ( CLIMATE CHANGE DUE TO CO2 ) WITH DELIBERATE BLACK BOX ALGORITHMS,  JUST FEW AMONG MORE THAN 40 CRITICAL INHERENT DEFICIENCIES.



HUMANS HAVE THINGS A COMPUTER CAN NEVER HAVE.. A SUBCONSCIOUS BRAIN LOBE,  REM SLEEP WHICH BACKS UP BETWEEN RIGHT/ LEFT BRAIN LOBES AND FROM AAKASHA BANK,  A GUT WHICH INTUITS,   30 TRILLION BODY CELLS WHICH HOLD MEMORY,   A VAGUS NERVE , AN AMYGDALA ,  73% WATER IN BRAIN FOR MEMORY,  10 BILLION MILES ORGANIC DNA MOBIUS WIRING ETC.



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https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
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Generally, the Black Box Problem can be defined as an inability to fully understand an AI’s decision-making process and the inability to predict the AI’s decisions or outputs. However, whether an AI’s  lack of transparency will have implications for intent and causation tests depends on the extent of this lack of transparency. 

A complete  lack of transparency will in most cases result in the complete failure  of intent and causation tests to function, but some transparency may  allow these tests to continue functioning, albeit to a limited extent.

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Strong Black Boxes: Strong black boxes are AI with decision making processes that are entirely opaque to humans. 

There is no way  to determine (a) how the AI arrived at a decision or prediction, (b) what information is outcome determinative to the AI, or (c) to obtain a  ranking of the variables processed by the AI in the order of their importance. 

Importantly, this form of black box cannot even be analyzed ex post by reverse engineering the AI’s outputs.

Weak Black Boxes: The decision-making process of a weak black box are also opaque to humans. However, unlike the strong black box, weak black boxes can be reverse engineered or probed to determine a loose ranking of the importance of the variables the AI takes into account. This in turn may allow a limited and imprecise ability to predict how the model will make its decisions. .




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Intent tests appear throughout the law and have developed over centuries to help courts and juries understand and regulate human  conduct. Intent, for example, is a means of finding out whether a person intended to cause a particular outcome to occur. Intent may also  determine whether the severity of a penalty is appropriate for the particular conduct.  

Machines and computer programs have no intent. The most we can glean from how they work and how they are designed is what  goals their users or creators sought to achieve and the means they permitted their machine or program to use to achieve them.

It  makes sense to speak about the intent of the designer or user. For example, we may infer from a computer program designed to break  into a computer system that its creator intended to use it for that purpose.

 In some cases, we can look at the computer program’s instructions to determine what the designer of the program was trying to accomplish and what means could be used by the program to accomplish that goal..  

Black-box AI, however, may function in a manner well outside of what the program’s creators could foresee. To be sure, we may be able to tell what the AI’s overarching goal was, but black-box AI may do things in ways the creators of the AI may not understand or be able  to predict.

 An AI securities-trading program, for example, may be given the overarching goal of maximizing profit, but how it makes its trading decisions or whether it meets its objective through market manipulation may be entirely unclear ex ante to its creators and even expost to courts and regulators. 

Because we cannot look to the program’s instructions or design to determine the intent of its creator or user, intent tests become impossible to satisfy  If intent tests cannot be satisfied, laws relying on them will cease to function. Most critically, because intent tests appear in the law where penalties are most severe (such as in criminal statutes), the most dangerous or noxious conduct may go unregulated if it is AI, rather than a human, that engages in it. 

AI would be exempt from the  most stringent aspects of our criminal, securities, and antitrust laws, which often require a showing of intent to give rise to the most serious forms of civil and criminal liability intent tests fail largely for three reasons:--

(1) An AI’s conduct or decisions may tell us nothing about its  designer’s or user’s intent, which means that intent tests  based on a person’s intent to achieve an unlawful outcome become unsatisfiable;

(2) Because it may be impossible to determine the bases of an  AI’s decision or prediction, intent tests that scrutinize the  bases or justifications for conduct become unsatisfiable; and

(3) Because intent tests often serve as a gatekeeper, limiting the  scope of claims, they may entirely prevent certain claims or legal challenges from being raised when AI is involved.

All of these problems threaten to leave AI unregulated either because defendants that use AI may never be held liable (e.g., the government’s use of AI may prevent a showing of discriminatory intent)  or claimants that rely on AI may be left without legal redress (e.g.,  because a plaintiff that uses AI to make investment decisions is unable  to show reliance). .
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In a neural network, for example, a series of interconnected artificial neurons may be mimicking data from the past, which may have simply reflected that a rise in price was correlated with placing  and withdrawing trades.  If the AI is a black box, there is no way of knowing. 

While the author of the AI’s programming could have expressly prohibited this sort of conduct, the failure to do so is likely the result of negligence, not an intentional design decision. This would fall short of the sort of intent required for most criminal laws or civil fraud causes of action.

This problem becomes even more intractable where the particular  basis for a decision is the central question of a litigation or regulatory  investigation. For example, consider another hypothetical from the  securities laws. A large financial institution uses AI to appraise homes that will serve as collateral for mortgage-backed loans that it will  make and ultimately package into mortgage-backed securities. 

The  financial institution then provides the appraised values in its offering documents for the mortgage-backed security. Under this rubric, our hypothetical would almost never result in liability, even if the AI renders demonstrably problematic valuation opinions. 

The financial institution can always say that it designed the AI with the utmost care and verified its accuracy on past data. It will  almost always be able to argue that it subjectively believed in the valuation opinions it was publishing — it designed a highly sophisticated  machine to carefully look at every house underlying every mortgage.

A plaintiff may be able to argue that the AI was not accurate enough  for such reliance, that the AI was inadequately tested on out-ofsample data, and even that the issuer had some duty to sanity check  the results, but none of these arguments will likely suffice to allege a  subjective disbelief of the opinions. 

There will have to be something  more, particularly at the motion to dismiss stage, that would make  plain that algorithm’s design or opinions were problematic and that  the issuer knew it. Again, as with the Effect Intent cases, the opinion statement test will be actionable only at the margins — where there is  particularly obvious and egregious conduct.

Black-box AI ensures that the problems will be impossible to detect without access to the AI and the ability to probe it to determine  why it makes particular decisions. Even then, the AI may be a com- plete black box. It is almost impossible for a plaintiff, such as a purchaser of mortgage-backed securities, to be able to make allegations  that the AI was designed or tested poorly or made decisions that put  the user of the AI on alert that something was wrong.

Omission claims complicate things further. That is, a deeper problem occurs when courts require a detailed probe of the basis for an  opinion. If the AI gave too little weight to a particular factor or piece of information, there would be no way of knowing it.

Even if the AI is a weak black box, the user of the AI may not be able  to tell if a particular piece of information was outcome determinative. Causation tests also fail when black-box AI is involved. Most  causation tests are used to limit the scope of far-reaching causes of  action, such as ordinary negligence. 

Doctrines such as proximate  cause ensure that only reasonably foreseeable effects give rise to liability.  Such a doctrine encourages individuals to act reasonably and  penalizes those who do not.  The proximate cause standard is thus a  means of tying the scope of liability to the nature of the conduct at  issue. 

Other related doctrines, such as reliance, require the injured to  prove that the harm they suffered was related to the allegedly unlawful conduct. Thus, a fraud claim will often fail unless the plaintiff  can prove that the misrepresentation was something that the plaintiff  took as true and that informed or caused the plaintiff to act to his detriment. 

Loss causation, a doctrine that also appears in fraud-based  claims, will also place similar limits on claims: only losses that stem  from the alleged misrepresentation will be redressed 

The inability to foresee harm is even greater with black-box AI  because there is little or no ability to foresee how the AI will make  decisions, let alone the effects of those decisions. If the AI is a weak black box, it may be possible to prove reliance because a loose ranking of the parameters fed to the model is available for analysis.

However, the investor would still face arguments  that there is no way of proving that a particular piece of information  would generally be outcome-determinative. it is not clear that certain forms of AI that are  based on complex machine-learning algorithms, such as deep neural  networks, will become more auditable and transparent in the future. 

In  fact, it may be that as these networks become more complex, they  become correspondingly less transparent and difficult to audit and  analyze.  Indeed, commentators have speculated that AI may eventually become significantly more intelligent than human beings, such  that they will surpass the analytical abilities of humans altogether.  If this is the trajectory of AI, then it makes little or no sense to impose  regulations requiring minimum levels of transparency. 

It may be that  certain technology may never meet the ideal levels of transparency  desired by regulators and governments. If the improvement of AI requires, for example, more complexity that will cause a further lack of  transparency, imposing transparency requirements will be tantamount  to a prohibition on improvement or an invitation for companies to  circumvent the rules. 

Regulating the minimum levels of transparency for AI would at  least implicitly be a regulation of design trade-offs. AI designers deciding whether to increase the size and depth of a neural network  (thereby losing transparency) may be forced to use a shallower or less  complex architecture to comply with regulations, even if such a design decision would result in poorer performance. 

This essentially makes regulators and legislators arbiters of design — a function that  regulators are not only less likely to be proficient at than AI developers, but are also reluctant to perform  AI talent is concentrated in the hands of a few large firms. 

Imposing the cost of compliance with a byzantine system of regulations would ensure that only  large firms could afford to comply with them AI supervised by humans will pose the least problems  for intent and causation tests, whereas autonomous AI will require  liability schemes based on negligence, such as those used in agency  law for the negligent hiring, training, or supervision of an agent.

When the AI operates under human supervision, the degree of transparency may shed light on the creator or user of the AI’s intent.  When the AI is permitted to operate autonomously, the creator or user of the AI should be held liable for his negligence in deploying or testing the AI In the most dangerous settings, strict liability may be appropriate. The overall picture is a sliding scale of intent and foreseeability required for liability.

The Supervised Case  --

AI that is supervised by a human is unlikely to pose significant problems for traditional intent and causation tests. For example, a human that consults AI to make decisions, such as a judge that consults AI to assist with sentencing decisions, ultimately makes decisions himself. 

The AI may assist with the decision-making process,  but the responsibility for the decision lies largely with the human decision-maker. In such a case, the transparency of the AI will inform  intent and causation inquiries. 

For example, if a human relies on AI that is fully transparent, then he can determine how the AI is making its decisions and will be able to foresee the effect of the AI’s decisions. Intent and causation tests will therefore properly apply because  the foreseeable consequences of the AI’s decisions will be ascertainable.

When AI is a black box, the degree of transparency bears directly  on the intent of a human who makes decisions based on the AI. For  example, blind reliance on AI that engages in a decision-making process that the human cannot understand and that may have effects that  the human cannot foresee may be evidence of unlawful intent such as  scienter or willful blindness. 

The extent to which the AI is a black box thus bears on the human’s intent. In such cases, courts and regulators will not need to look to the design of the AI or the foreseeable  effects of the AI to determine liability. 

The central question in such cases will be the degree of the AI’s transparency and the culpability or reasonableness of the human’s reliance on the black-box AI. AI is a new and unprecedented form of agent. When it operates autonomously, it is indistinguishable in some cases from a human being tasked with meeting some objective. 

Just as a human may behave in an unpredictable manner, AI may also arrive at solutions or  engage in conduct that its user or creator never foresaw, particularly  when the AI is a black box. Notwithstanding the similarities between an AI and a human agent, a vicarious liability rule, such as respondeat  superior, would make sense only in certain circumstances. 

When the  AI operates autonomously in a mission-critical setting or one that has  a high possibility of externalizing the risk of failure on others, such as when it is used in a highly interconnected market or to perform a medical procedure, the AI’s user or creator should be more broadly liable  for injury the AI inflicts, and a vicarious liability rule is appropriate.

In such cases, a lack of transparency should not insulate the user or creator of the AI from liability. Instead, the risks of deploying a blackbox AI autonomously in such settings should fall on the AI’s user or creator because the AI was used notwithstanding its unpredictable and  impenetrable decision-making. In such a case, the imposition of vicarious liability would be functionally equivalent to a strict liability regime.

When the AI is deployed autonomously in less dangerous or mission-critical settings, a vicarious liability rule may be less appropriate.

There may be little risk of harm from the AI’s error in these circumstances and holding the user or creator of the AI liable regardless of  intent or negligence would chill a large swath of desirable AI applications. Instead, in such cases, the negligent principal rule would be  more appropriate. 

When the AI is transparent, knowledge about how  the AI’s decision-making process works may be used to establish the  existence of or lack of reasonable care. When, however, the AI is a  black box, the deployment of the AI in the face of a lack of transparency may be sufficient to establish a lack of reasonable care. 

The  question is similar to the one asked in the agency setting — whether  the AI’s creator or user was negligent in deploying, testing, or operating the AI. The use of the AI in the face of a lack of transparency  bears heavily on that question. 

In the case where there is a lack of  transparency, proximate cause tests should focus on the possible effects of deploying AI autonomously without understanding how it functions, rather than on the specific ability of the user or creator of the AI to have predicted the injurious effects of the AI’s conduct.

Consider the previous example of the AI that re-tweeted false or misleading information, was it reasonable for the creator of the AI to give  the program the ability to create its own tweets? The focus in such a  case would be on whether the risk of the potentially unlawful conduct  was apparent or should have reasonably been addressed with precautions.

Sliding-Scale Approach

Putting the supervised and autonomous cases together, one can imagine four quadrants of liability. First, when there is both supervision of the AI and the AI is transparent, then the intent of the creator  or user of the AI can be assessed through conventional means (i.e., fact-finding mechanisms such as depositions and subpoenas) as well  as by examining the AI’s function and effect. 

Second, when the AI is  supervised but to some degree a black box, intent must be assessed  based on whether the creator or user of the AI was justified in using  the AI as he did — with limited insight into the AI’s decision-making  or effect. 

Third, if the AI is autonomous but supervised, the rule that  should apply is the principal-supervision rule from agency law. The question will be whether the creator or user of the AI exercised reasonable care in monitoring, constraining, designing, testing, or deploying the AI. Fourth, when the AI is both autonomous and unsupervised, the sole question will be whether it was reasonable to have deployed such AI at all. 

The answer may simply be no, which means that the creator or user of the AI would be liable for the AI’s effects, even if he could not foresee them and did not intend them Liability rules that employ Effect Intent or Gatekeeping Intent tests will require a threshold inquiry into the autonomy of the AI. In cases where the AI operates autonomously, the intent tests should be relaxed to allow for evidence of negligence. 

In other words, specific intent should not be required for liability, nor should such tests be  used to narrow the scope of potential claims when autonomous AI is involved. In cases where a basis for conduct must be articulated, such as in antitrust, securities, or constitutional cases, the use of black-box AI should be prima facie evidence that, apart from the past accuracy of the AI, the user or creator of the AI lacked a sufficient justification for a given course of conduct. 

This can be accomplished through burden shifting. In other words, in cases involving autonomous AI that lack transparency, the burden should be on the proponent of the AI to prove that the AI’s conduct or decisions were justified. Such a test  would encourage a human check on the AI’s decisions and conduct. 

Proximate cause tests should assess the level of human supervision at the outset. It is only in the autonomous case that foreseeability  of harm will be exceptionally difficult to assess. In such cases, the question should be focused on the foreseeability of harm from deploying AI autonomously given its degree of transparency. 

Thus, the causation analysis for AI that falls into the Black Box / Less Supervision  quadrant above should turn not on whether the particular harm caused by the AI was reasonably foreseeable, but whether the harm was a foreseeable consequence of deploying black-box AI autonomously.

The question is one of conceivability, not foreseeability in such settings.

For example, a heuristic for model-based interpretability is "simulatability": whether or not a human is able to internally simulate and reason about the model's entire decision-making process . Yet there is no way to consistently quantify this heuristic, or any of the potentially dozens of interpretability measures. The development of interpretable AI is on a random walk without metrics to guide and measure progress.

Yet more confounding is having to choose between model performance and interpretability, particularly in medical applications where transparency and trust are critical . Herein lies the second core issue: misalignment. 

Perhaps when faced with a performance vs interpretation tradeoff, solutions can be found with interpretation interfaces and modules: use powerful black-box models, and layer-on an interpretation module for post-hoc inspection and explainability.

Causal relationships don’t happen by accident.

It might be tempting to associate two variables as “cause and effect.” . Extensively test the relationship between a dependent and an independent variable before asserting causality. False positive, is where a causal relationship seems to exist, but actually isn’t there.

Correlation is a relationship or connection between two variables where whenever one changes, the other is likely to also change. But a change in one variable doesn't cause the other to change. That's a correlation, but it's not causation

Causation without correlation is possible. It is well known that correlation does not prove causation. The upshot of these two facts is that, in general and without additional information, correlation reveals literally nothing about causation. .

Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel; a negative correlation indicates the extent to which one variable increases as the other decreases


As machine learning has expanded beyond its roots in the worlds of computer science and statistics into nearly every conceivable field, the data scientists and programmers building those models are increasingly detached from an understanding of how and why the models they are creating work. 

To them, machine learning is akin to a black box in which you blindly feed different mixes of training data in one side, twirl some knobs and dials and repeat until you get results that seem to work well enough to throw into production.

Beyond the obvious issues that such models are extraordinary brittle, the larger issue is the way in which these models are being deployed. It is entirely reasonable to use machine learning algorithms to sift out extraordinarily nuanced patterns in large datasets. 

Indeed, a very powerful application of machine learning can be around identifying all of the unexpected patterns underlying phenomena of interest in a dataset or to verify that expected patterns exist.

Where things go wrong is when we reach beyond these correlations towards implying causation.

Pattern verification is an especially powerful way of using machine learning models to both to confirm that they are picking up on theoretically suggested signals and, perhaps even more importantly, to understand the biases and nuances of the underlying data. Unrelated variables moving together can reveal a powerful and undiscovered new connection with strong predictive or explanatory power. 

On the other hand, they could just as easily represent spurious statistical noise or a previously undetected bias in the data. Bias detection is all the more critical as we deploy machine learning systems in applications with real world impact using datasets we understand little about.

Perhaps the biggest issue with current machine learning trends, however, is our flawed tendency to interpret or describe the patterns captured in models as causative rather than correlations of unknown veracity, accuracy or impact.

Partially this is because often the thing we are most interested in cannot be directly observed through any single variable. Predicting most events, from the likelihood a user will buy a given product through the likelihood a given country will collapse into civil war tomorrow, relies on a patchwork of signals, none of which directly measure the actual thing we are interested in.

In essence, in most machine learning, the actual thing we hope to have our model learn cannot be learned directly from the data we are giving it.

This may be because the medium available (such as photographs) do not fully capture the phenomena we hope to have it recognize (such as identifying dogs). A pile of dog photographs cannot build a model to recognize their barks.

More often, it is because the thing we hope to measure (like the conversion of a website visitor into a customer) cannot be directly assessed through any single variable. Instead, we must proxy it through all sorts of unrelated variables that capture bits and pieces of the intangible “thing” we are trying to predict.

These bits and pieces, however predictive they may be, are merely genuinely or spuriously correlated with the thing we’re trying to predict. They do not necessarily cause or even explain how and why that thing occurs.

Moving from correlation to causation is especially important when it comes to understanding the conditions under which a machine learning model may fail, how long we can expect it to continue being predictive and how widely applicable it may be.

Using machine learning to identify correlative patterns in data is an extremely powerful approach to understanding both the nuances and biases of our data and the unexpected very real patterns that our current theoretical understandings failed to point us towards.

When we attempt to reach past this usage towards treating our models as “discovering” or “learning” causative new “natural laws” or concrete “facts” about the world, we tread upon dangerous ground. 

Putting this all together, the ease with which modern machine learning pipelines can transform a pile of data into a predictive model without requiring an understanding of statistics or even programming has been a key driving force in its rapid expansion into industry. 

At the same time, it has eroded the distinction between correlation and causation as the new generation of data scientists building and deploying these models conflate their predictive prowess with explanatory power.

In the end, as technology places ever more powerful tools in the hands of those without an understanding of how they work, we are creating great business and societal risk if we don’t find ways of building interfaces to these models such that they are able to communicate these distinctions and issues like data bias to their growing user community that lacks an awareness of those concerns

Today, an institution can take two approaches to reduce false alarms. It can either lower risk thresholds to capture more suspicious activities, or it can tighten risk thresholds to lower the number of false positives. 

If an institution lowers its thresholds, the number of false positives increases; if it tightens its thresholds, the probability of missing fraud cases increases. With limited options, complex and changing obligations, and massive volumes of data to screen, the industry agrees that false positive rates are uncontrollable and compliance programs have become barely manageable.

 A recursive neural network (RNN)—a type of deep learning AI—can dramatically increase the accuracy of threat detection, reducing or eliminating false positives. Unlike other technology solutions, machine learning can be tuned and trained to get better over time using the RNN
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A true positive is an outcome where the model correctly predicts the positive class. Similarly, a true negative is an outcome where the model correctly predicts the negative class. A false positive is an outcome where the model incorrectly predicts the positive class.

The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification)

in binary classification, a false positive is an error in data reporting in which a test result improperly indicates presence of a condition, such as a disease (the result is positive), when in reality it is not present, while a false negative is an error in which a test result

Interpretable Machine Learning models can have different levels of transparency. Three major levels of transparency achieved by an interpretable machine learning model are explained below.

Algorithmic Transparency bestows the user with the capability of understanding the inner processes by which the learning model generated its output given a certain input. A learning model is said to have achieved algorithmic transparency if the learning model can be investigated entirely by just mathematical models and analysis.

Decomposability in terms of transparency stands at a level higher than algorithmic transparency. Decomposability imparts the learning model with the capability of explaining its every part i.e. input, parameter and mapping to the user. Not every algorithmically transparent learning model is decomposable. 

For a learning model to be decomposable, in addition to the restriction of algorithmic transparency i.e. able to be explored by mathematical models and analysis, it should also possess the potential that all of its variable, parameter and functions be comprehensible to the user without any external assistance.

Simulatability deals with the capability of a learning model to be simulated by its users. Simulatability is the highest level of transparency a learning model can accomplish. Hence not all decomposable learning models are simulatable. For a decomposable learning model to possess the quality of simulatability, it should possess the ability to be thought or reasoned about as a whole in a self-contained manner without any additional help.

Machine Learning Interpretability is useful when the learning model is not interpretable by design and hence the user has to employ external interpretability techniques. 

The interpretability technique to be used for a machine learning model’s interpretability is decided based upon 1) the users intention i.e. how the user wants the learning model to be explained (by text or visualizations), 2) the procedure to be used i.e. attention analysis and 3) the type of data accepted by the learning model.

Post-hoc explainability techniques are majorly divided into the following.

Visual Explanations are the most effective method of explaining the machine learning model’s functioning to users with little expertise in machine learning. Most of the post-hoc explainability techniques involve dimensionality reduction so that the intricate mapping of machine learning model’s variables can be visualized on a 2D or 3D plot.

Local Explanations post-hoc explainability techniques deal with explaining the complex machine learning model by partitioning the solution space and then explaining the simpler solution subspaces that are pertinent for the whole machine learning model. 

Hence local explanations work by decomposing the solution space and then explain the functioning of the machine learning model with respect to the decomposed solution subspace. If required these separate explanations can then be re-unified for full-scale machine learning model interpretability.

Explanations by simplification procedures attempt at creating a new simplified version of the machine learning model to be analyzed such that the new model resembles the functioning of the former model. Also, the new model should be less complex while having the same performance score. If all the above conditions are met for the new simplified machine learning model then it becomes easy to interpret the new model due to its less complexity.

Explanations by Text tackles the problem of explaining the results and outputs of the machine learning model by learning text explanations and symbols that portray the inner-working of the model. The idea behind generating symbols is to learn the semantic mapping from model to symbols to understand the reasoning of the machine learning algorithm.

Explanations by Example methodology involves drawing out specific class representative candidate examples with the intent of comprehending the mapping of variables in the machine learning model as well as the rationale of the algorithm. This method is similar to the process undertaken by a human while trying to understand a complex process.

Feature Relevance Explanations assigns appropriate importance or relevance scores to the variables of the machine learning model. The scores are allocated based on how a particular variable or parameter affects the output of the machine learning model.





AI has the ability to circulate tendentious opinions and false data that could poison public debates and even manipulate the opinions of millions of people, to the point of endangering the very institutions that guarantee peaceful civil coexistence.

If any major military power pushes ahead with AI weapon development, a global arms race is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the Kalashnikovs of tomorrow. 

Unlike nuclear weapons, they require no costly or hard-to-obtain raw materials, so they will become ubiquitous and cheap for all significant military powers to mass-produce. It will only be a matter of time until they appear on the black market and in the hands of terrorists, dictators wishing to better control their populace, warlords wishing to perpetrate ethnic cleansing, etc. 

Autonomous weapons are ideal for tasks such as assassinations, destabilizing nations, subduing populations and selectively killing a particular ethnic group. We therefore believe that a military AI arms race would not be beneficial for humanity. There are many ways in which AI can make battlefields safer for humans, especially civilians, without creating new tools for killing people.

The creators of AI must seek the insights, experiences and concerns of people across ethnicities, genders, cultures and socio-economic groups, as well as those from other fields, such as economics, law, medicine, philosophy, history, sociology, communications, human-computer-interaction, psychology, and Science and Technology Studies (STS). 

This collaboration should run throughout an application’s lifecycle — from the earliest stages of inception through to market introduction and as its usage scales

Professional human  judgment is still necessary in AI to decide on the value of the information produced by the system and its uses in looking for material misstatements and financial fraud. In this regard, the acronym GIGO (“garbage in, garbage out”) may be appropriate.

Unless the data is reliably provided and processed, AI will produce results that are inaccurate, incomplete or incoherent, and machine learning would be compromised with respect to ethical AI. 
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Artificial intelligence (AI): the program that interprets and analyzes the data without explicit coding, makes predictions, and executes decisions to maximize a utility function (or goal). We limit our scope of AI to the subset of machine learning where programs learn to change when exposed to new data. 

Internet of Things (IoT): provides raw data through the extension of enabled processors, sensors, and communications hardware into physical devices and everyday objects. IoT devices communicate through a shared access point or directly between other connected devices.

Big data analytics: the process of cleaning, structuring, and analyzing (mining) raw data to discern patterns, preferences, and trends. AI requires the raw data provided through analytics to learn how to make better decisions.

Explainable AI reduces the risks associated with regulatory and reputational accountability for safety and fairness.

Explainable AI technologies may  identify privacy violation risk, with options for privacy-aware machine learning (PAML), multiparty computation, and variants of homomorphic encryption to identify privacy violation risks.

Training and education to develop the skills needed to mitigate risks in black-box models.

This should include:--

How to make data science and ML models interpretable by design and select the right model transparency from a range of models, from least to most transparent.

How to select the right model accuracy when required, and methods of validating and explaining these models.

Various methods, such as generative explainability and combining simple, but explainable models, with more complex, but less explainable ones.

Exploring the latest explainability techniques, such as the ones that are tracked by DARPA, or that are coming from commercial vendors. 

Techniques for understanding and validating the most-complex types of predictive models.

Communication and empathy skills for data scientists to detect the users’ attitude and needs for explainability and successful AI adoption.


Establish AI ethics boards and other groups that are responsible for AI safety, fairness and ethics. These boards should include internal and external individuals known for their high reputation and integrity.

Over the last decade, 93% of European banks have been fined for AML-related offences; globally, banks have been fined approximately $31 billion over the last 10 years.  Most of the fraud is deliberate.


Financial services have understandably not taken full advantage of AI solutions because of concerns with the so-called “black box” models, i.e., the model performs functions that are not transparent to the end user. If the bank does not understand how its technology is monitoring for financial crime, it cannot explain how it is complying with regulations to its regulators.
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Models using AI, no matter how intelligent, cannot be expected to operate without human oversight and testing.

Even the best screening systems produce a high-rate of false positives that must be dispositioned by a human reviewer, by either clearing the alert, or escalating it for further review.

AI systems are capable of performing link analysis, drawing inferences by identifying entities that are parties to suspect transactions. criminals are constantly developing new methods of hiding their activity. AI can be used to identify new behaviours that would alert the financial institution to investigate.

One of the  AI techniques to do so is called intelligent segmentation

Segmentation is a fundamental component of the anti-money laundering (AML) process, and is concerned with the groupings of entities based on similar business attributes and transactional behavior. 

Segmentation, when done well, enables AML typologies to focus on unusual behavior for specific groups of entities, using thresholds that allow precise detection of bad actors while minimizing the number of false positive alerts. In a large, geographically distributed bank that provides correspondent banking services, the transactions that involve non-bank customers appear as 3rd party corresponds, also known as pseudo-customers. 

Unlike a bank’s own customers for which KYC (know your customer) information is available, very little is known about these pseudo-customers. Because a definite identification of the party does not exist, it is particularly difficult to monitor such customers and categorize them.

Most institutions employ a hierarchical approach to segmentation. This approach requires business attributes for the top-down analysis and transaction summaries for the bottom-up analysis. This doesn’t work for pseudo-customers. 

Due to the absence of KYC information, the business attributes for non-bank customers are very limited, meaning the top-down analysis is not practical. Moreover, the bottom-up analysis is only focused on the rough summary of transactional behaviors, such as total transaction volume and/or dollar amount. The result is large, uneven segments that lack defining characteristics.

This is particularly problematic from a model acceptance perspective. The inadequacy of explanatory features precludes the business user (or internal model review board) from approving the model.

Even if the segmentation could be implemented, the segmentation is ultimately static. What that means is that the segmentation model cannot adapt to the inevitable changes we see in behavior. An inaccurate segmentation model with large, uneven groups leads to high alert volumes with high level of noise (false positives) translating to higher investigator FTE requirements.

In order to capture the non-bank customers’ transactional behavior, an exhaustive list of features needs to be created in order to uncover the hidden behavior and reflect the AML risks. Some sophisticated institutions have turned to machine learning algorithms such as K-Means Clustering to solve for this. 

This, however, requires rigorous assumptions about the distribution of the underlying data (the n of K). This approach is non-performant in the face of high-dimensional problems – which is exactly what defines the pseudo-customer problem.

With traditional monitoring systems, banks typically segment their customers by their industry, the type of business, size, as well as other factors. They apply rules that have worked historically for businesses in those segments. 

The problem with this approach is that these segments do not consistently represent groups of entities with consistent transaction behaviour. it analysed transactions, observed patterns, and created new and more relevant segments, placing customers in them based on their behaviour. 

A segment, for instance, might include entities that engage in large wire credit transactions, have high-frequency counterparties, and a large number of unique originators.

If a customer executed transactions that were outside of the normal parameters for their segment, they would be subject to further analysis, including, potentially, investigations by humans.

Fraudsters can attempt to take over the bank accounts of unsuspecting customers or clients and transfer money directly to them. An anomaly detection-based solution that could identify changes in customer behavior and analyze them for patterns related to fraudulent money transfers. 

False positives could result in more work for the rest of the team fighting money laundering alerts. Individual banks may not require a perfect false positive rate. However, it is in the best interest of vendors to offer a service that could discern between fraudulent payments that appear legitimate, and legitimate payments that appear fraudulent.  their solution could do this by recognizing potentially fraudulent patterns in customer behavior as they develop over time

Desirable core capabilities:--

Auto Feature Engineering: Detecting data points within transactions and customer behavior with a high potential fraud likelihood.

Intelligent Segmentation: Benchmarking certain behavioral patterns based on the transaction history and real time behavior of the client’s customer base.

Behavioral Insights: Tracking daily changes in customer behavior as well as which customers have deviated the most.

Intelligent Event Triage: Determining whether a given deviation in customer behavior is acceptable or if it needs to be investigated further.

Contextual Alert Information: Automatically providing the correct information to allow human employees to escalate an alert to investigators.

The software could exclusively recognize patterns that are potentially harmful and not acceptable deviations in transaction data. These types of patterns could serve as early indicators of money laundering, and some clients may find it important to keep track of them as they emerge.

Intelligent segmentation is A way of exploring how to divide up a customer base so that the machine learning model could analyze a sizeable amount of data at a time. This is done by creating thresholds of customer behavior based on the rate of deviation from each customer’s typical behavior.

Each threshold carries a different level of priority, which allows client companies to focus on accounts that have seen the most deviation first.  this could also help their clients reduce false positives because more specific customer segments could lead to a more thorough analysis.

Behavior metrics could include how far each customer deviates from their normal behavior over time, or how that rate compares to other customers. This comparison could be scaled to only cover customers in the same segment or could be brought out to the entire customer base.

Using the behavioral insights interface, analysts could organize transactions showing behavioral deviations based on how much their patterns have changed. They could also organize them according to how much each transaction is worth and compare that to the rate of deviation.

This likely helps users close in on individual money laundering attempts as one could track the dollar amounts as they rise along with a rise in transactions with new or suspicious entities.

AML MUST come with an event triage tool that allows for identification of the most important information for investigators to use or analyze in the future. This purportedly results in a smaller amount of events extracted from transactional data than other solutions. That said, these results are purported to have a higher chance of being used to discover money laundering or indicative behavior.

Money laundering investigators need sufficient context on an alert in order to be able to track down threats. If there is no data that can serve as evidence of an attempt at a fraudulent transaction, an investigator would not be able to find a relevant starting place to do their job. This information might include the ID numbers and account history of the affected accounts, and the exact time the alert occurred.

AML solution provides this context which also allows them to make faster decisions. Each alert purportedly comes with a visual representation of the behavioral pattern that the solution marked as suspicious. the software supplies relevant data regarding this suspicious behavior so that investigators have an audit trail to work from



Fraudulent activities in finance can be detected by looking at on-surface and evident signals. Unusually, large transactions or the ones that happen in atypical locations obviously deserve additional verification.

Machine learning allows for creating algorithms that process large datasets with many variables and help find these hidden correlations between user behavior and the likelihood of fraudulent actions




MasterCard integrated machine learning and AI to track and process such variables as transaction size, location, time, device, and purchase data. The system assesses account behavior in each operation and provides real-time judgment on whether a transaction is fraudulent. The project aims at reducing the number of false declines in merchant payments 

Machine learning algorithms analyze files written by insurance agents, police, and clients, searching for inconsistencies in provided evidence. There are many hidden clues in these textual datasets. The rule-based engines don’t catch the suspicious correlations in textual data, and fraud analysts can easily miss important evidence in boring investigation files. That’s why analyzing claims is one of the most promising spheres for machine learning applications.

Smart ML-backed algorithms are also efficient in duplicate claims detection or inconsistencies in car repair cost. Classifying data in repair claims solves the problem by uncovering hidden correlations in claim records or even behaviors of insurance agents, repair services, and clients

Healthcare and medical insurance is a rich area for fraud schemes due to a complex and bureaucratic process, which requires many approvals, verifications, and other paperwork. The most common scams are fake claims that use false or invalid social security numbers, claims duplication, billing for medically unnecessary tests, fake diagnosis, etc.Multiple data analytics approaches can mitigate such fraud risks.


Benford's law, also called the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leading significant digit is likely to be small. 

For example, in sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time. If the digits were distributed uniformly, they would each occur about 11.1% of the time


Upcoding is fraudulent medical billing in which a bill sent for a health service is more expensive than it should have been based on the service that was performed.

Upcoding and unbundling are methods of healthcare billing fraud involving the improper application of codes for medical diagnoses and procedures. ... When these healthcare providers and facilities improperly code the medical services they've provided in order to receive higher reimbursements, they commit coding fraud.

In 2013, Goldberg Kohn filed a lawsuit against IPC The Hospitalist Co. Inc. (IPC) – one of the largest providers of hospitalist services in the country. The lawsuit alleged that IPC submitted false claims to federal health care programs, such as Medicare and Medicaid. According to the lawsuit, IPC did so by encouraging its doctors to bill at the highest levels available, regardless of the level of service provided. The government decided to intervene in the matter. In 2017, TeamHealth Holdings, which had acquired IPC in 2015, agreed to pay $60 million under the settlement agreement.



Customers’ choices on marketplaces ( say Amazon ) are often driven by reviews. Some fraudsters create fake reviews for their accounts to attract customers or giving bad reviews to sabotage better products.  Machine learning algorithms can eliminate the influence of such fraudsters through conducting sentimental and behavior analytics and detecting suspicious activities linked to merchants or their products.

Payments are the most digitalized part of the financial industry, which makes them particularly vulnerable to digital fraudulent activities. The rise of mobile payments and the competition for the best customer experience nudge banks to reduce the number of verification stages. This leads to lower efficiency of the rule-based approach. So, banks and payment companies switch to data analytics, machine learning, and AI-driven methods.

Modern fraud detection systems solve a wide range of analytical problems to uncover all scams in the payments streams.

Data credibility assessment. Gap analytics help identify missing values in sequences of transactions. Machine learning algorithms can reconcile paper documents and system data eliminating the human factor. This ensures data credibility by finding gaps in it and verifying personal details via public sources and transactions history.

Duplicate transactions. A common scam method is creating transactions close to original or making a copy of a transaction. For instance, a company tries to charge a counterpart twice with the same invoice by sending it to different branches.

Rule-based systems currently used constantly fail to distinguish between error or unusual transactions from real fraud. For example, a customer can accidentally push a submission button twice or simply decide to buy twice more goods. The system should differentiate suspicious duplicates from human errors.

While duplicate testing can be implemented by conventional methods, machine learning approaches will increase accuracy in distinguishing erroneous duplicates from fraud attempts.

Account theft and unusual transactions. Much of fraud detection in payments is focused on user behavior analysis during transactions.

For example, a client visits a specific supermarket at 9-10 pm every night. It’s located near the client’s house. The payment sum varies from $10 to $40. Every two days the client also drives to a gas station.

Once a transaction occurs in a different part of town in a bar and the sum is $40, the algorithm will consider this activity suspicious and assign a higher level of fraud likelihood. To check this transaction, the system will send a verification request to a card owner.

Descriptive stats like averages, standard deviations, and high/low values are very useful for analyzing behavior. These metrics allow for comparing separate transactions with personal or intra-group benchmarks. Payments with large standard deviations look suspicious. So, a good practice is to send a request for verification to an account owner if such deviations occur.

Preventing loan application fraud

Lending is sensitive to scams that abuse personal information. Just a decade ago, it was difficult for fraudsters to get access to IDs, photos, addresses, and mobile phone numbers. Today, nearly all data can be found in social networks or elsewhere on the Internet. This makes the life of financial institutions more difficult. Fraudsters become smarter, and loan applications require more rigorous assessment, while clients want to get money as soon as possible.

Personal details counterfeiting. A common type of fraud is often based on providing false personal information. Scammers provide personal details with a number of misspelling issues or misrepresentations of income or credit qualifications. It makes debt collection more difficult. The problem can be solved in two ways.

The first one entails reviewing the customer relationship history with a bank looking for inconsistencies and quickly verifying record fields via open APIs.

The second path is more sophisticated and requires building a scoring model or calculating fraud probability. Scoring models calculate the fraud possibility of the record and grade it against a standard scale. It helps assess which applications are more likely to be fraudulent. Machine learning and advanced analytics solve the problem of fraud probability assessment by classifying applications into groups.

Such solutions allow for minimizing costs by reducing the need to verify each application and concentrating the efforts on the risky loans only. It also improves general credit scoring – the process of grading customer creditworthiness – by distinguishing fraudsters from bad borrowers. Drawing a distinct line between fraudsters and problematic borrowers also ensures better credit statistics.
Machine learning for anti-money laundering

Regulators, banks, and investment firms are often involved in monitoring possible money laundering activity: They must detect and inform each other about suspicious activities.

Anomaly detection to reveal suspicious transactions
Anomaly detection is one of the common anti-fraud approaches in data science. It is based on classifying all objects in the available data into two groups: normal distribution and outliers. Outliers, in this case, are the objects (e.g. transactions) that deviate from normal ones and are considered potentially fraudulent.

The variables in data that can be used for fraud detection are numerous. They range from transaction details to images and unstructured texts.

By analyzing these parameters, anomaly detection algorithms can answer the following questions:

Do clients access services in an expected way?
Are user actions normal?
Are transactions typical?
Are there any inconsistencies in the information provided by users?

The anomaly detection approach is perhaps the most straightforward as it provides simple binary answers. This may be helpful in some cases. For instance, if the transaction looks suspicious, the system may ask a user to make multiple additional verification steps. Traditional anomaly detection doesn’t allow for revealing fraud, although it may be a good supportive instrument for existing rule-based systems.

But there are more advanced approaches that combine several ML algorithms to reduce uncertainty. They can be implemented using multiple machine learning styles and underlying mathematical models. Let’s have a look at the ones that are most common.

Advanced systems aren’t limited to finding anomalies but, in many cases, can recognize existing patterns that signal specific fraud scenarios. There are two types of machine learning approaches that are commonly used in anti-fraud systems: unsupervised and supervised machine learning. They can be used independently or be combined to build more sophisticated anomaly detection algorithms.

Supervised learning entails training an algorithm using labeled historical data. In this case, existing datasets already have target variables marked, and the goal of training is to make the system predict these variables in future data.

Unsupervised learning models process unlabeled data and classify it into different clusters detecting hidden relations between variables in data items

Labeling data. While data labeling can be done manually, it’s hard for humans to classify new and sophisticated fraud attempts by their implicit similarities. That’s why data scientists apply unsupervised learning models to segment data items into clusters accounting for all hidden correlations. This makes data labeling more precise: Not only does the dataset have labeled fraud/non-fraud items, but these labels also nuance different types of fraudulent activities.

Training a supervised model. Once the data is labeled, the next iteration is to apply this new labeled dataset to train supervised models that will be detecting fraudulent transactions in production use.
Ensembling models. 

Ensembling multiple different models is a common approach in data science. While you can make a single model, it will always have its strengths and weaknesses. It will recognize some patterns, but miss the others. 

To make predictions more accurate data scientists usually build multiple models using the same method (we’ll talk about methods in the next section) or combine entirely different methods. Thus, all models from the ensemble analyze the same transaction and then “vote” to make a final decision. It allows for leveraging the strengths of multiple different methods and make decision as precise as possible

Setting an express verification. Using ensembles requires a great deal of computing power and time to crunch all data. If you were to check all transactions, the time spent on calculations may harm user experience. That’s why a good practice is to make verification in two steps. 

The express verification implies simple anomaly detection or another straightforward ML method to divide all transactions into regular and suspicious ones. As regular transactions don’t require further verification, the system approves them. Those that look suspicious are sent for advanced verification through a complex ensemble.

Supervised fraud detection method
In terms of actual machine learning methods, there are five commonly used types. We’ll cover only supervised learning methods as they can be applied in building complex ensembles.

Random forests

Random forest (or an ensemble of decision trees) is an algorithm which builds decision trees to classify the data objects. The model selects a variable that enables the best splitting of records and repeats the splitting process multiple times. As a result, if we were to visualize how the algorithm works, the image would look like a tree. To make predictions more precise, data scientists train multiple decision trees on random subsets from a general dataset. To decide whether transaction looks like a fraud, trees vote, and the model provides a consensus judgment.

Random forests are relatively simple systems that you can use to set up fraud detection fast. The most common use case is payments systems.

Pros: Besides their simplicity and speed, random forests can be used with different types of data, including credit card numbers, dates, IP addresses, postal codes, etc. They are considered precise predictors that can work even with datasets that have missing records.

Cons: Sometimes engineers stumble over the problems with overfitting. Overfitting means that the model over-remembers the patterns in the training dataset and fails to make predictions on future data. Another problem is the dataset balance. If a dataset contains mostly normal transactions and just a small fraction of fraudulent ones, the accuracy may decrease.

Support vector machine

A support vector machine (SVM) is a supervised machine learning model that uses a non-probabilistic binary linear classifier to group records in a dataset. What does it mean? The algorithm divides data into two categories with a clear gap. The division line is defined by making several hyperplanes in the multidimensional space. Then the algorithm selects the hyperplane which separates records better than the other ones.

In machine learning, support-vector machines (SVMs, also support-vector networks  are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. 

Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic classification setting). 

A SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on the side of the gap on which they fall.



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SVM can be inferior to random forests in credit card transactions with small datasets, but can also approach their accuracy once datasets are large enough.

Pros: Support vector machines are particularly good at working with complex multidimensional systems. They also allow for avoiding the overfitting problem that random forests may experience. Generally, SVM is a very common method in credit card fraud detection. And the abundance of research work makes adjusting SVM-models for credit card fraud detection simpler for a data science team.

Cons: The complexity of SVM models will require much engineering effort to fine tune the algorithm and achieve high accuracy. Also, SVMs are very slow and computationally heavy. That’s why they will require powerful computing architecture.


K-Nearest Neighbors

K-Nearest Neighbor is an algorithm which classifies records by similarity based on the distance in multidimensional space. The record is assigned to the class of the nearest neighbors. The record of each cluster is voting for each new record using the distance parameter.




K-nearest neighbors is another common approach used to analyze credit card transactions.

Pros: The method is insensitive to missing and noisy data, which allows for configuring larger datasets with less preparation. It’s also considered highly accurate and doesn’t require much engineering effort to tweak models.

Cons: Like neural networks, k-nearest neighbors require powerful infrastructures and they also lack interpretability.

Neural networks and Deep Neural Networks

Neural Network is a model that allows for determining non-linear relations between the records. The algorithm structure is built on principles close to those of the human brain neurons. The model is trained on a labeled dataset making input data pass through several layers (i.e. sets of mathematical functions). The models of this type employ 1-2 hidden layers.

Deep Neural Networks works similar to neural networks but employs much more layers than a usual Neural Network. This provides more accurate results, as well as requires more computing power and time for data processing.

Deep learning has created a revolution in data science over the past years. Consequently, it also impacted the financial services industry. Currently, neural networks are being applied both for transactional verification and insurance claims.

Pros: Neural networks and especially deep neural networks are powerful at finding non-linear and very complex relations in large datasets. This works both for transactional data and for text and image analysis, which may be used in insurance cases. They usually provide high accuracy, which makes neural networks a necessary part of a modern fraud detection ensemble.

Cons: Neural networks are state-of-the-art systems that are very difficult to build and tweak to reach efficiency. They require highly skilled professionals and a powerful computing architecture. For this reason, we don’t recommend using the method for express analysis of all transactions. Another major problem with deep neural networks is the lack of interpretability. 

While they may be highly accurate, it’s nearly impossible to define how specifically the system arrived at one conclusion or the other ..


Antifraud systems should meet the following standards:--

detect fraud in real-time
improve data credibility
analyze user behavior
uncover hidden correlations


While these qualities can be offered by machine learning algorithms, they have two serious drawbacks to be aware of. They still require large and carefully prepared datasets for training and still need some features of rule-based engines, like checking legal limitations for cash transactions. 

Also, machine learning solutions usually require substantial data science skills to build complex and robust ensemble algorithms. This sets a high barrier for small and medium companies to use the technique leveraging internal talent. The task requires deep technological and domain expertise.



Descriptive Analytics, which use data aggregation and data mining to provide insight into the past and answer: “What has happened?”

Predictive Analytics, which use statistical models and forecasting techniques to understand the future and answer: “What could happen?”

Prescriptive Analytics, which use optimization and simulation algorithms to advise on possible outcomes and answer: “What should we do?”

Descriptive Analytics tells you what happened in the past. Diagnostic Analytics helps you understand why something happened in the past. Predictive Analytics predicts what is most likely to happen in the future. Prescriptive Analytics recommends actions you can take to affect those outcomes.





Descriptive analytics uses data aggregation and data mining of historical data to answer the question, “What happened?”   Descriptive analytics is essentially the same as the science of statistics, providing information without analysis or insight.

The easiest way to define it is the process of gathering and interpreting data to describe what has occurred. Descriptive analytics takes the raw data and, through data aggregation or data mining, provides valuable insights into the past

Prescriptive analytics leverages both existing data and action/feedback data to guide the decision maker towards a desired outcome. Prescriptive analytics is also predictive in nature since it tries to estimate multiple futures based on your actions and advise on the outcomes before you actually make a decision.

Prescriptive analytics has two levels of human intervention: decision support, e.g. providing recommendations; decision automation, e.g. implementing the prescribed action .  The effectiveness of the prescriptions depends on how well these models incorporate a combination of structured and unstructured data, represent the domain under study and capture impacts of decisions being analyzed

Apart from answering the “what will happen if…?” question, prescriptive analytics also tackles the “what should we do to reach the desired outcome?” component.

Prescriptive analytics, describes a type of analytics designed to answer the question, “What do we do now?”    In prescriptive analytics, the outcome is not just a prediction or forecast, but recommendations for the best course of action.

Reducing risk in insurance and financial services
Detecting credit card fraud
Allowing more accurate predictions of supply and demand
Identifying threats and issues affecting computer networks

Predictive analytics in banking and financial services:--

Predictive analytics is valuable across the spectrum of banking and financial service activities, from assessing risk to maximizing customer relationships. Predictive analytics are used to:--

Prevent credit card fraud by flagging unusual transactions.
Scoring credit and deciding whether to approve a loan or credit applications.
Predict customer churn, allowing banks to reach out right before a customer is likely to switch institutions.
Predictive analytics and other emerging technologies
Predictive analytics is often conflated with other developing data and analytics technologies. Three technologies often confused with predictive analytics are machine learning, predictive modeling, and data mining.

Is predictive analytics the same as machine learning? Predictive analytics is not the same as machine learning. Machine learning, which allows computers to learn from their own activities, is one of the elements that can be applied as part of the predictive analytics process.

What are the most common models used in predictive analytics?

The most common models used in predictive analytics include linear regression, logistic regression, linear discriminant analysis, decision trees, naive bayes, K-nearest neighbors, support vector machines, random forest and boosting. 

A more complete description of each is included below.

What is the relationship between how many sales leads a marketing campaign generates to the amount of money spent promoting the campaign?


How many more leads could be captured if the promotional budget was increased by, say, $10,000?

How much will the cost of raw materials used in manufacturing increase in a year?

Logistic regression. This compares a dependent variable with one or more independent variables to determine the probability of a particular outcome. Logistic regression could be used to predict how likely a person is to develop diabetes based on their age, sex, body mass, blood test results and family history, or which candidate in an election will most appeal to people with a particular combination of demographic information, such as age, race, income and location.

Linear discriminant analysis is used for classification. A typical example might be, “Based on answers to a survey, which group of customers is more likely to buy a particular product?”


Decision trees are binary, relying on yes/no questions to arrive at the outcome. A decision tree could be used to sort applicants for a job, for instance. Does the applicant have a college degree? If no, does the applicant have alternative qualifications? If yes, does the applicant have more than three years experience? If yes, does the applicant have a defined set of skills and experience?


Jewish health insurance companies wants India to kill off patients from whom they cannot milk profits ..   and they have been arm twisting Bharatmata to make euthanasia a lawful thing ..

The condition for Jewish health insurance companies to come to India is euthanasia --as this is paramount for them to make humongous profits.....  Modis health care is like Obama health care-- sole intention is to dish out massive profits to kosher health companies ... who are also political donors..

Kosher health companies bribe politicians and doctors in all western nations they thrive .  People who take good care of their health ( by organic diet/ Yoga etc ) are forced to pay for drug addicts, sexual deviants and processed food consumers who abuse their health..

Euthanasia has to be decided by the elected law makers... not some collegium judges in deep state payroll...

Laws against euthanasia and assisted suicide are in place to prevent abuse and to protect people from unscrupulous doctors and others ( grab property )... Legalizing euthanasia would send a clear message: it is better to be dead than sick or disabled...

The patient is depressed and believes that his situation is worse than it really is.( or made to feel by selfish relatives )... Faced with a doctor who both heals and kills, the patient lives with an uncertainty that adds to vulnerability...

Patients who are ill or dependent often feel worthless and a burden to their family and loved ones. .. With legalized assisted suicide, the rate of non-assisted suicide WILL increase...

Every patient has the right to refuse treatment or to request that ongoing treatment be stopped... Life in society is based on relationships of mutual trust among all citizens. Everyone must be sure that nobody will kill him... .

We are already witnessing worrisome abuse in jurisdictions where euthanasia or assisted suicide is legal...

WE THE PEOPLE WILL NOT ALLOW HEALTH INSURANCE TO DECIDE WHO HAS THE RIGHT TO LIVE... RIGHT TO LIVE ALSO INCLUDES RIGHT TO DIE .. TEE HEEEEEEE .. 

WHERE IS THE FUCKIN' INTELLIGENCE .. RIGHT TO HEAL ALSO INCLUDES RIGHT TO KILL? ..

The right to life does not create a right to choose death rather than life.It meant there was no right to die at the hands of a third person or with the assistance of a public authority.. The right to life is a moral principle based on the belief that a human being has the right to live and, in particular, should not be killed by another human being. 
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International law only allows law enforcement officers to deliberately take life (shooting to kill) where absolutely necessary to defend themselves and others against an imminent threat to life. .. The entitlement of a person to make the decision to end their own life through euthanasia is right to choose.

Passive euthanasia is a condition where there is withdrawal of medical treatment with the deliberate intention to hasten the death of a terminally-ill patient..

WHEN A MAN IS SICK , AND IS IN PAIN -- HIS MIND IS VULNERABLE.. GREEDY CHILDREN WILL KILL HIM OFF TO GRAB PROPERTY.

https://www.moneycontrol.com/news/business/companies/insurance-for-passive-euthanasia-companies-differ-on-applicability-2570215.html


Disparate impact in United States labor law refers to practices in employment, housing, and other areas that adversely affect one group of people of a protected characteristic more than another, even though rules applied by employers or landlords are formally neutral. 

Although the protected classes vary by statute, most federal civil rights laws protect based on race, color, religion, national origin, and sex as protected traits, and some laws include disability status and other traits as well.
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In rule-based systems, the system is programmed to apply a decision-making tree. The questions asked and the path to a particular outcome, depending on the answers given, can be depicted by way of flow-chart (even if that flow-chart might be very large, involving numerous branches).

In contrast, statistical machine learning involves a computer system training itself to spot patterns and correlations in data sets, and to make predictions based on those patterns and correlations. The computer system is first trained on data sets provided by the system designer. Once trained, it can be used to infer information and make predictions based on new data.

A useful distinction is between decision making that is fully automated, where the algorithm makes the final decision, and decision making where there is a “human in the loop”, who uses the algorithm’s output to support their decision-making. This has implications not only under the GDPR (see Article 22) but also for the application of public law principles.

Even though there is a human in the loop, an individual may place over-reliance on the outcome of an automated-system, in effect simply rubber-stamping the decision.

Intentional opacity is where an algorithm is designed so that its workings are concealed, in order to protect intellectual property. Illiterate opacity arises where an algorithm is so complex that it is understandable only to tech experts. 

Finally, intrinsic opacity is where a machine-learning system is so complex that even a tech expert is unable to understand its internal workings. That is, the system is a “black box”. A lack of transparency in decision making is clearly a primary hurdle to holding decision-makers to account where algorithms have been deployed.

Neural networks excel at churning through vast quantities of training data and making connections, absorbing the underlying patterns or logic for the system in hidden layers of linear algebra

They are terrible, however, at explaining the underlying logic behind the relationships that they’ve found: there is often little more than a string of numbers, the statistical “weights” between the layers. They struggle to distinguish between correlation and causation.

The dream of big data in medicine is to feed a neural network on “huge troves of health data, finding complex, implicit relationships and making individualized assessments for patients.” What if, inevitably, such an algorithm proves to be unreasonably effective at diagnosing a medical condition or prescribing a treatment, but you have no scientific understanding of how this link actually works?

The statistical models that underlie such neural networks often assume that variables are independent of each other, but in a complex, interacting system like the human body, this is not always the case.
Transparency about how the algorithm functions—the data it looks at, and the thresholds for drawing conclusions or providing medical advice—may be required, but could also conflict with the profit motive and the desire for secrecy in healthcare startups..
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Artificial general intelligence, or AGI can be defined as the ability of a machine to perform any task that a human can.   

Capt Ajit Vadakayil says—you cannot achieve AGI unless we use water as memory and Mobius coil organic DNA wiring..  

Artificial general intelligence systems are designed with the human brain as their reference. Since we ourselves don’t have the comprehensive knowledge of our brains and its functioning, it is hard to model it and replicate it working.   

Whereas AI is preprogrammed to carry out a task that a human can but more efficiently, artificial general intelligence (AGI) expects the machine to be just as smart as a human.


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With the evolution of Internet of Things (IoT), there is a huge amount of data exchange among different smart devices located geographically apart from each other. As the data among these devices travels using an open channel, i.e., Internet, so one of the challenge is to build a secure system to protect from various cyber-threats. 

Cyber-criminals use new attack vectors to launch various attacks as the attack surface is also increasing exponentially. To deal with these threats, the network requires traffic surveillance along with strong access control policies

Network intrusion detection systems (NIDS) are set up at a planned point within the network to examine traffic from all devices on the network. It performs an observation of passing traffic on the entire subnet and matches the traffic that is passed on the subnets to the collection of known attacks.

A network-based intrusion detection system (NIDS) monitors and analyzes network traffic for suspicious behavior and real threats with the help of NIDS sensors. It scrutinizes the content and header information of all packets moving across the network.

The NIDS sensors are placed at crucial points in the network to inspect traffic from all devices on the network. For instance, NIDS sensors are installed on the subnet where firewalls are located to detect Denial of Service (DoS) and other such attacks.

If your network is penetrated by a malicious attacker, it can lead to massive losses for your company, including potential downtime, data breaches, and loss of customer trust.

An intrusion detection system (IDS) is a tool or software that works with your network to keep it secure and flag when somebody is trying to break into your system.



An intrusion detection system (IDS) is a device or software application that monitors a network or systems for malicious activity or policy violations. Any intrusion activity or violation is typically reported either to an administrator or collected centrally using a security information and event management (SIEM) system. A SIEM system combines outputs from multiple sources and uses alarm filtering techniques to distinguish malicious activity from false alarms

IDS types range in scope from single computers to large networks. The most common classifications are network intrusion detection systems (NIDS) and host-based intrusion detection systems (HIDS).

A host-based intrusion detection system (HIDS) monitors and analyzes system configuration and application activity for devices running on the enterprise network. The HIDS sensors can be installed on any device, regardless of whether it’s a desktop PC or a server.

HIDS sensors essentially take a snapshot of existing system files and compare them with previous snapshots. They look for unexpected changes, such as overwriting, deletion and access to certain ports. Consequently, alerts are sent to administrators to investigate activities that seem iffy.

They are a highly effective tool against insider threats. HIDS can identify file permission changes and unusual client-server requests, which generally tends to be a perfect concoction for internal attacks. That’s why it should come as no surprise that HIDS is often used for mission-critical machines that are not expected to change.

 A system that monitors important operating system files is an example of an HIDS, while a system that analyzes incoming network traffic is an example of an NIDS. It is also possible to classify IDS by detection approach. 

The most well-known variants are signature-based detection (recognizing bad patterns, such as malware) and anomaly-based detection (detecting deviations from a model of "good" traffic, which often relies on machine learning). Another common variant is reputation-based detection (recognizing the potential threat according to the reputation scores). 

Some IDS products have the ability to respond to detected intrusions. Systems with response capabilities are typically referred to as an intrusion prevention system. Intrusion detection systems can also serve specific purposes by augmenting them with custom tools, such as using a honeypot to attract and characterize malicious traffic.

NIDS vs. HIDS: What’s the Difference?

Each of these intrusion detection systems come with their own strengths. NIDS works in real-time, which means it tracks live data and flags issues as they happen. On the other hand, HIDS examines historical data to catch savvy hackers that use non-conventional methods that might be difficult to detect in real-time.

The ideal scenario is to incorporate both HIDS and NIDS since they complement each other. NIDS offers faster response time while HIDS can identify malicious data packets that originate from inside the enterprise network.



For the purpose of dealing with IT, there are four main types of IDS:--
Network intrusion detection system (NIDS)
Host-based intrusion detection system (HIDS)
Perimeter Intrusion Detection System (PIDS)
VM based Intrusion Detection System (VMIDS)
.

An Intrusion Detection System (IDS) monitors network traffic for suspicious activities and known threats, and issues alerts when such activities are discovered.

Essentially, an IDS is a packet sniffer that detects anomalies in data packets traveling along various channels. Their role is to:

Monitor systems. Assess and evaluate routers, firewalls, key management servers and files, in order to tackle cyberattacks.

Research system logs. View OS audit trails and other logs to fine-tune systems for better protection.
Identify the design of typical attacks. Match attack signature databases with information from the system. 

Various components: audit data processor, knowledge base, decision engine, alarm generation and responses.

Intrusion Detection and Prevention System (IDPS) has the advantage of providing real-time corrective action in response to an attack. A passive IDS is a system that's configured to only monitor and analyze network traffic activity and alert an operator to potential vulnerabilities and attacks.

Intrusion Detection Systems (IDS) analyze network traffic for signatures that match known cyberattacks. Intrusion Prevention Systems (IPS) also analyzes packets, but can also stop the packet from being delivered based on what kind of attacks it detects — helping stop the attack.

A honeypot is a network-attached system set up as a decoy to lure cyberattackers and to detect, deflect or study hacking attempts in order to gain unauthorized access to information systems

In many cases of network intrusion, the attack involves flooding or overloading the network, gathering data about the network to attack it from a weak point later, or inserting information into the network to spread and gain access from inside. It’s important to keep hacker detection tools active, so you can prevent these vulnerabilities from getting into your system in the first place.

Scanning Attacks

One kind of attack is a scanning attack, which involves sending packets or information to the network, attempting to gather data about the network topology, open or closed ports, types of permitted traffic, active hosts on a network, or what types or versions of the software are running. 

Blind SQL injection attacks can use some of these scanning techniques as they attempt to find more vulnerable points in the network. Scanning attacks often look for open ports where viruses or malicious code can be inserted.

Asymmetric Routing

Asymmetric routing is when packets traveling through the network take one route to their destination, then a different route back. This is normal but unwanted network behavior. Depending on how your firewalls are set up, attackers can use asymmetric routing behaviors to send malicious packets through certain parts of your system to bypass your security setups. 

Generally, allowing your network to perform asymmetric routing can leave you open to SYN flood attacks (a type of DDoS attack), and in most cases should be turned off for better network protection.

Buffer Overflow Attacks

This kind of attack attempts to penetrate sections of memory in devices on the network, replacing normal data in those memory locations with malicious data to will be executed later in an attack. In most cases this is also intended to turn into a form of DDoS attack. 

Basically, a buffer section of memory can contain a character string or a large array of integers. A buffer overflow is when more data is written to the buffer than it can handle, which results in data overflowing into adjacent memory. This can cause the entire system to crash and can also create confusion and problems, hiding an attack in another part of the system.

These kinds of attacks target specific protocols, including ICMP, TCP, and ARP.

ICMP stands for Internet Control Message Protocol and is used by network devices to communicate with each other. The ping and traceroute tools use ICMP to communicate. One kind of ICMP attacks are also known as ping floods, in which the attacker overwhelms a device with ICMP echo-request packets. 

This works because the ICMP requests require bandwidth to work, and an attack increases this network load substantially. While the device is busy dealing with this large number of malicious packets, it can’t handle normal requests. 

The ICMP protocol can also be used in ICMP tunneling attacks, where data is sent through ICMP packets (which can bypass firewalls), smurf attacks, (where the address the packet is coming from is spoofed), and port scanning, where ICMP error messages are used to detect whether specified ports are open.

TCP can also be used for specific kinds of attacks, such as the TCP SYN flood. Transmission Control Protocol normally works with a “three-way handshake” to connect two devices. First, the client requests a connection by sending a synchronize (SYN) message to the server, which the server acknowledges by sending a synchronize-acknowledge (SYN-ACK) message back.

 Finally, the client responds with an acknowledge (ACK) message, and the connection will be complete. A TCP SYN flood is when an attacker sends a large number of SYN messages to different ports on the targeted server, but never sends the ACK message. 

As a result, the ports stay open while they wait for the ACK message to be received, during which time the attacker sends more SYN messages, the server’s connection overflow tables fill, and the system will crash or malfunction.

ARP stands for Address Resolution Protocol, and can also be used in flooding attacks, by sending large numbers of ARP packets to a recipient to overflow their ARP tables, like the above attacks. Forged or spoofed ARP packets can also be sent. 

ARP poisoning is where the attacker sends false ARP messages to link the attacker’s MAC address with the IP address of a legitimate network device. Once the attacker has a valid link to this legitimate IP address, the attacker can intercept messages directed to the legitimate MAC address and modify or stop those messages.

Malware

There are several different kinds of malware, including worms, trojans, viruses, and bots. Malware is a type of software designed to damage or disrupt your system. Malware is often accidentally downloaded via email or included with another software package. Others get into your system by exploiting weaknesses in browsers, software, your network, or network devices.

Some of the most well-known types of malware are viruses and worms. These types of malware can self-replicate and spread quickly throughout your system. Worms can self-propagate, while viruses use host programs to replicate and spread.

Viruses are generally attached to .exe files, and the virus isn’t necessarily active until the user runs the malicious .exe program. As soon as the user runs this program, the virus will run as well. As they spread, viruses infect one device after another. Worms are standalone software and don’t need host programs to continue to spread. In many cases, they’ll exploit a software loophole or trick users into running them.

A trojan software disguises itself as a normal program, such as a document that looks legitimate but is malware. Unlike worms and viruses, they don’t self-replicate and can only be spread by other users.

Bots will infect a device and then connect back to a central control server. The central control server can then use all the devices infected with bots as a “botnet” to launch high-powered attacks on other targets.

Traffic Flooding

In many cases, this is a type of attack called a DDoS attack, or Distributed Denial of Service attack. Some of the above attacks, including buffer overflow attacks and asymmetric routing attacks, use traffic flooding.

Intrusion detection systems are usually a part of other security systems or software, together with intended to protect information systems. IDS security works in combination with authentication and authorization access control measures, as a double line of defense against intrusion. 

Firewalls and antivirus or malware software are generally set up on each individual device in a network, but as enterprises grow larger, more unknown or new devices come in and out, such as cell phones and USBs. Firewalls and anti-malware software alone is not enough to protect an entire network from attack. They act as one small part of an entire security system.

Using a fully-fledged IDS as part of your security system is vital and is intended to apply across your entire network in different ways. An IDS can capture snapshots of your entire system, and then use the intelligence gathered from pre-established patterns to determine when an attack is occurring or provide information and analysis on how an attack occurred.

Essentially, there are several components to intrusion preparation: knowledge of potential intrusions, preventing potential intrusions, being aware of active and past intrusions, and responding to the intrusion. 

While it may seem “too late” once an attack has already happened, knowing what intrusions have happened or have been attempted in the past can be a vital tool in preventing future attacks. Knowing the extent of the intrusion of an attack is also important for determining your response and responsibilities to stakeholders who depend on the security of your systems.

There are three main types of intrusion detection software, or three main “parts,” depending on if you view these all as part of one system:--

Network Intrusion Detection System
Network Node Intrusion Detection System
Host Intrusion Detection System

At the most basic level, Network Intrusion Detection Systems and Network Node Intrusion Detection Systems look at network traffic, while Host Intrusion Detection Systems look at actions and files on the host devices.

What Is a Network Intrusion Detection System?

A Network Intrusion Detection System (NIDS) is generally deployed or placed at strategic points throughout the network, intended to cover those places where traffic is most likely to be vulnerable to attack. Generally, it’s applied to entire subnets, and it attempts to match any traffic passing by to a library of known attacks. 

It passively looks at network traffic coming through the points on the network on which it’s deployed. They can be relatively easy to secure and can be made difficult for intruders to detect. This means an intruder may not realize their potential attack is being detected by the NIDS.

Network-based intrusion detection system software analyzes a large amount of network traffic, which means they sometimes have low specificity. This means sometimes they might miss an attack or might not detect something happening in encrypted traffic. In some cases, they might need more manual involvement from an administrator to ensure they’re configured correctly.

What Is a Network Node Intrusion Detection System?

A Network Node Intrusion Detection System (NNIDS) is like a NIDS, but it’s only applied to one host at a time, not an entire subnet.

What Is a Host Intrusion Detection System?

The Host Intrusion Detection System (HIDS) runs on all the devices in the network with access to the internet and other parts of the enterprise network. HIDS have some advantages over NIDS, due to their ability to look more closely at internal traffic, as well as working as a second line of defense against malicious packets a NIDS has failed to detect.

It looks at the entire system’s file set and compares it to its previous “snapshots” of the file set. It then looks at whether there are significant differences outside normal business use and alerts the administrator as to whether there are any missing or significantly altered files or settings. It primarily uses host-based actions such as application use and files, file access across the system, and kernel logs.

Network and host-based intrusion detection systems are the most common ways of expressing this classification, and you won’t find NNIDS mentioned very often in this space. Just think of it as a type of NIDS.

There are also two main approaches to detecting intrusion: signature-based IDS and anomaly-based IDS.

Signature-Based IDS

This type of IDS is focused on searching for a “signature,” patterns, or a known identity, of an intrusion or specific intrusion event. Most IDS are of this type. It needs regular updates of what signatures or identities are common at the moment to ensure its database of intruders is current. This means signature-based IDS is only as good as how up to date its database is at a given moment.

Attackers can get around signature-based IDS by frequently changing small things about how the attack takes place, so the databases cannot keep pace. In addition, it means a completely new attack type may not be picked up at all by signature-based IDS because the signature doesn’t exist in the database. Furthermore, the larger the database becomes, the higher the processing load is for the system to analyze each connection and check it against the database.

Anomaly-Based IDS

In contrast to signature-based IDS, anomaly-based IDS looks for the kinds of unknown attacks signature-based IDS finds hard to detect. Due to the rapid growth in malware and attack types, anomaly-based IDS uses machine learning approaches to compare models of trustworthy behavior with new behavior. 

As a result, strange- or unusual-looking anomalies or behavior will be flagged. However, previously unknown, but legitimate, behavior can be accidentally flagged as well and depending on the response, this can cause some problems.

In addition, anomaly-based IDS assumes network behavior always stays predictable and it can be simple to tell good traffic from bad. But anomaly-based IDS looks at the behavior of traffic, not the payload, and if a network is running on a non-standard configuration, the IDS can have problems figuring out which traffic to flag.

However, anomaly-based IDS is good for determining when someone is probing or sweeping a network prior to the attack taking place. Even these sweeps or probes create signals in the network the anomaly-based IDS will pick up on. This type of IDS needs to be more distributed across the network, and the machine learning processes need to be guided and trained by an administrator.

IDS vs. Intrusion Prevention Systems vs. Firewalls

An IDS is an intrusion detection system, not a system designed to respond to an attack. An IDS can be part of a larger security tool with responses and remedies, but the IDS itself is simply a monitoring system.

Another kind of system is the Intrusion Prevention System or IPS. An IPS is essentially an IDS combined with a response or control system. IDS doesn’t alter network packets as they come through, while the IPS will prevent the packet from being delivered based on the contents of the packet (e.g., if it sees the packet is malicious).

Both a (signature-based) IDS and IPS refer to a database of known threats, and then flag or respond to the threat based on this database. IDS requires an administrator to look at the results of what has been flagged, whereas an IPS will take action automatically to block the threat. 

In most ways, both IDS and IPS are largely hands-off, and even an IDS will simply send alerts to the administrator for them to respond to (the admin doesn’t have to review every single IDS process themselves). As a result, these can be useful and low-maintenance tools in your security stack.

You may also be wondering what the difference is between an IDS and a firewall. Generally, a firewall is supposed to be configured to block all traffic, and then you set it up to allow specific types through. The IDS and IPS work in the opposite direction, by allowing all traffic and then flagging or blocking specific traffic only. 

As a result, you should use a firewall in combination with an IDS or IPS, not one or the other. Set up your firewall to let only specific kinds of traffic through, and then use the IDS to detect anomalies or problems in the traffic you permit. The combination of these tools provides a comprehensive security boundary for your network.

An IPS may appear more useful than an IDS simply because it “does more,” but passive listening to network behavior is still vitally important. A lot of traffic looks suspicious but is, in fact, innocent, and if your tool is always automatically blocking or reacting to traffic, you can end up with false positives interfering with normal network traffic. In either case, you need to configure your IDS or IPS to minimize false positives and negatives and to ensure accuracy as frequently as possible.

Security Information and Event Management

When you are looking into which IDS to use, you might see the term “Security Information and Event Management,” or SIEM. SIEM is a combination of Security Information Management (SIM) and Security Event Management (SEM). Basically, SEM is a kind of SIEM that looks at network traffic, like a NIDS does. These two areas overlap, and in some cases to find a good IDS tool, you’ll also need to look at tools classified as SEM software.

Choosing IDS Software

If you’re trying to decide between a host-based or network-based IDS, remember they both serve different purposes and in most cases, you’ll need both systems simultaneously, or a tool to provide both. 

The host-based intrusion detection system can detect internal changes (e.g., such as a virus accidentally downloaded by an employee and spreading inside your system), while a network-based IDS will detect malicious packets as they enter your network or unusual behavior on your network such as flooding attacks or protocol-specific attacks.

Remember there are also different people in your organization who should be involved in choosing and deploying your IDS system. They include:--

Management
Information security officers
Employees who “own” or look after sensitive data
Network admins
Database admins
SysAdmins

All these people will have a good idea of network vulnerabilities and can contribute to deciding where IDS should be deployed about your network, and what kind of behavior it should be configured to detect. 

If you don’t involve these critical people in choosing and setting up your IDS, you could end up missing important vulnerabilities or sensitive information in need of extra protection. The best approach is to hold a vulnerability and risk assessment meeting before you deploy and set up your IDS.

In any case, if you don’t already have an IDS set up for your business, make sure you get the process started as soon as possible. These detection systems are vital for security and shouldn’t be overlooked.

SolarWinds Security Event Manager (SEM) is an intrusion detection system designed for use on Windows Server. It can, however, log messages generated by Windows PCs and Mac OS, as well as Linux and Unix computers.

This is primarily a host-based intrusion detection system and works as a log manager. It examines connected USB devices and files coming in and out of the network and checks them for integrity and malicious modifications. It also regularly checks the filesystem itself to ensure files have not been modified, deleted, or moved in unusual ways.

SEM also can link in with and manage data collected by Snort, turning it into a more comprehensive threat-detection system with network-based intrusion detection. To use these capabilities, you need to use Snort as a packet capture tool, and then funnel this captured data to SEM. SEM can then analyze this data and detect intrusions through the network.

The tool includes knowledge-gathering processes to find relevant and up-to-date information on known botnets and other malicious actors to detect bots or intruders. This means you can configure automatic responses to known intruders, without needing to use custom scripts.

Finally, SEM can act as an intrusion prevention system as well, since it can react actively to intrusion events.

SEM can use active responses, including:---

Alerts via SNMP, screen messages, or email
USB device isolation
User account suspension or user expulsion
IP address blocking
Processes killing
System shutdown or restart
Service shutdown
Service triggering


The multi-faceted approach of SEM makes it a comprehensive and robust tool able to take care of most incident detection, prevention, and security analysis needs.





















http://ajitvadakayil.blogspot.com/2011/01/murky-truths-of-inflation-and.html


http://ajitvadakayil.blogspot.com/2011/02/great-american-depression-capt-ajit.html


http://ajitvadakayil.blogspot.com/2011/02/worth-more-than-sum-total-of-entire.html




CAPT AJIT VADAKAYIL
..

WHO IS CAPTAIN AJIT VADAKAYIL? Part 3 .

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THIS POST IS NOW CONTINUED FROM PART 2--





  1. https://scholar.google.com/citations?hl=en&user=MEPaJDoAAAAJ&view_op=list_works

    ONE OF THE SUBJECTS FOR PHD USED BY THE COMMIE JEWS IS TO DO BRAINWASH BY "AFRICAN STUDIES"..

    IN JNU COMMIE PROFESSORS LIKE ROMILA THAPAR THEY HAVE CREATED TRAITOR NAXALITES LIKE KANHAIYA KUMAR..

    AFTER GADDAFI WAS KILLED THE PM OF LIBYA ALI ZEIDAN WAS A JEWISH DEEP STATE AGENT TRAINED IN JNU BY COMMIE VISITING PROFESSORS FROM COLUMBIA/ BERKELEY USA..

    GADDAFI WAS KILLED BECAUSE HE WANTED TO USE THE WATER FROM THE GREAT NUBIAN AQUIFER FOR LIBYAs NEED TO GROW FOOD FOR HIS PEOPLE ..

    http://ajitvadakayil.blogspot.com/2011/10/ethnic-cleansing-of-blackskinned-people.html

    BUT HEY, THE JEWS HAVE KEPT THIS PRISTINE UNDERWATER WATER MASS FOR THEMSELVES.. LIKE THE GAS UNDER THE ALGERIAN DESERT.

    EVERY COMMIE SOCIAL SCIENCES PROFESSOR MOANS ABOUT WATER PROBLEM IN AFRICA, TO BRAINWASH STUDENTS AND CREATE TRAITOR COMMIES WHO WILL WORK FOR THE JEWISH DEEP STATE.

    NOT MANY PEOPLE KNOW THAT 12,000 YEARS AGO KERALA THIYYA KING SWARBANU JR , BUILT THE SUDAN PYRAMIDS ..

    NOT ONE PYRAMID ON THE PLANET HAS BEEN BUILT FOR PRESERVING DEAD BODIES AS TOMBS..

    AT THE END OF THIS POST BELOW , I SHOW HOW SUDAN PYRAMIDS WERE NATURAL WATER PUMPS TOO EXTRACT WATER FROM THE GREAT NUBIA AQUIFER 12,000 YEARS AGO.. DESIGNED BY THE CALICUT KING ( MY HOMETOWN )..

    http://ajitvadakayil.blogspot.com/2019/08/secrets-of-bent-pyramid-at-dahsur-egypt_1.html

    CAPT AJIT VADAKAYIL ASKS PM MODI..
    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..



    QUOTE THE EXAMPLE IS PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..


    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    https://twitter.com/Kalki783/status/1250094779251281921/photo/1

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    capt ajit vadakayil
    ..



  1. INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY LIAR ASHOK SWAIN ..WHY IS HE RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES .. ALONG WITH SOME INDIAN COMMIES/ NAXALITES..
    https://twitter.com/ashoswai/status/1250078811418439681

    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE NATIONS..

    https://www.worldometers.info/coronavirus/

    IN COMPARISON TO INDIAs 0.3 ( WE HAVE 1350 MILLION PEOPLE ) , SWEDEN IS 102..

    SPAIN/ 390
    BELGIUM/ 359
    ITALY / 348
    FRANCE / 241
    UK/ 178
    USA/ 79

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION..BY TRAITORS LIKE ASHOK SWAIN..
    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES ETC ETC..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..

    https://twitter.com/Kalki783/status/1250094779251281921/photo/1

    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil
    ..




SOME OF MY JEALOUS DETRACTORS WENT OFF THE AIR AND MAINTAINED RADIO SILENCE HOPING THEIR READERS WILL GIVE A FEVERISH PLEA--

SAAAAR GET BACK AND RESUME SAVING THIS PLANET AND ITS DENIZENS. WE MISS YOU

MOST OF THEIR READERS ARE CUNTS WHOM I TOLD-- FUCK OFF FROM MY BLOGSITE..HEY JOINED THERE TO SPITE ME..

ALL THEY GOT IS SHIT LADEN THENGA !

TEE HEEEEE

PROOF OF THE PUDDING LIES IN THE EATING..

capt ajit vadakayil
..
  1. I WISH ALL MY READERS A HAPPY VISHU.. ONE OF THE OLDEST FESTIVALS OF THIS PLANET

    IT IS ON 14TH APRIL 2020..

    OUR FESTIVALS HAVE MEANING.. STEEPED IN ASTRONOMY, WE KNOW HOW THE WHITE MAN STOLE OUR ASTRONOMY AND PATENTED IT IN THEIR NAMES..

    KING MAHABALI LEFT HIS MARK FOR TWO KERALA FESTIVALS ONAM AND VISHU 12,000 YEARS AGO..

    KERALA KINGS OF THE DANAVA CIVILIZATION ( FROM WHERE SANATANA DHARMA SPROUTED 400 CENTURIES AGO ) RULED THIS PLANET..

    NOBODY KNEW WHY THE INTIGUATANA STONE ON THE HIGHEST POINT OF MACHU PICCHU IS ANGLED TO 13.1 DEGREES , TILL I REVEALED IT.. IT HAS THE SAME PRINCIPLE OF LATITUDE AND DECLINATION BEING SAME LIKE FOR VISHU..

    I DONT GIVE PROOFS, USUALLY .. DONT EVER THINK I AM FEEDING YOU WITH BULL.. I DONT WANT TO BREAK MY HEAD OVER LCD QUERIES..

    http://ajitvadakayil.blogspot.com/2019/07/secrets-of-12000-year-old-machu-picchu_30.html

    WE HAVE A PRICELESS CULTURE, BE PROUD OF IT...

    DONT GET IMPRESSED BY THE WESTERN FESTIVALS WHERE DRUNKEN/ DRUGGED PEOPLE SHOW ROTTEN TWATS AND PRICKS AND FORNICATE ON THE STREETS, WITH PEOPLE THROWING BEADS AT THEM FOR GOOD PERFORMAMCE

    http://ajitvadakayil.blogspot.com/2014/04/vishu-new-year-festival-of-kerala-capt.html

    capt ajit vadakayil
    ..

if you google for--

"WHO IS CAPTAIN AJIT VADAKAYIL?"

quora comes no 1 on page 1

WHY?



Sparrow April 21, 2019 at 12:32 AM
Hi Captain,

This is what I had commented on ch@@t L0d#man's answers,

"The answer uses phrases like, “ firehose stops spewing” and calls the person in question as“stain” on internet. The answer lacks sincerity and simply exhibits personal hate masquerading as informed opinion.

The answer is also misleading by pointing out to the registered bloggers users as the only followers of the blog. A simple check of “Ajit Vadakayil [ https://ajitvadakayil.blogspot.com/ ]” on web-traffic sites like, Calculate Website Traffic Worth, Revenue and Pageviews with SiteWorthTraffic [ http://www.siteworthtraffic.com/ ] reveals the blogsite is hugely popular and far away from the gloomy picture the author of the above answer tries to create.

The above answer also down-plays the blogger profile view count of 919+ million, which is an unbelievable feat in itself. See below,

Capt. Ajit Vadakayil [ https://www.blogger.com/profile/14410812789424637654 ]"


Is there absolutely anything wrong in the above comment? But Quora has deleted it. Below is message from quora,

Hello,

We recently found some of your content (Your comment on What will happen to millions of followers, if Capt. Ajit Vadakayil stops blogging and removes his blog completely?) that violates Quora's Be Nice, Be Respectful policy (See What is Quora's "Be Nice, Be Respectful" policy?).

Please keep this policy in mind when interacting with other people on Quora. If you continue posting content that violates this policy, you may be banned from using Quora. For more information, see: How do I appeal a Quora Moderation decision?.

If you think this is an error on our part, please submit a moderation appeal at https://www.quora.com/contact with a link to your content.

Thank you,
Quora Moderation

Will this blogsite's fate be decided by anti-hindu Quora?


OUR I&B MINISTER PRAKASH JAVEDEKAR IS A DARLING OF QUORA...


Capt. Ajit Vadakayil   April 20, 2019 at 10:43 PM

INDIA DOES NOT DESERVE MY POSTS ON YOGA. IT WILL DELETE IT NOW..

INDIA CAN LEARN YOGA FROM OUR PADMA VIBHUSHAN GURUS..



capt ajit vadakayil
..




Dipesh Agarwal   April 20, 2019 at 11:25 AM
https://www.quora.com/What-will-happen-to-millions-of-followers-if-Capt-Ajit-Vadakayil-stops-blogging-and-removes-his-blog-completely

My Answer.
Not sure about readers, but it will be India as a country that will suffer . As today we all are in deep slumber , completely ignored about our magnificent past and becoming self loathing. We were blessed to have Capt around us, who completely changed our life to experience what Sanatan Dharma actually is.

I am certainly going to ponder what made Capt made quit blogging.

Were we gratefull to him, for all the knowledge he shared, all the uncounted blessing he showered on us.

Forever Grateful.
  

A Tiwari  April 20, 2019 at 10:50 AM
Done sir _ He has been an invaluable source of information , more Importantly he has given tons of Indians the courage to say a lot of things which they have been bullied into denying by the MSM (mindless screaming media morons ) .. some of the things he says I had heard from my elders too but since they were not posh they were never heard .. moreover he has an immense knowledge of Hinduism for which I am eternally grateful to him .. I would be glad if I get 10% of that in this lifetime …
As for the pseudo science why not just have experiments done by neutral parties and tabulate the same so all can see … we all believe in healthy debates don't we
…but I think cnn type onesided screams will not do for most people now and that could be worrisome for some…

Btw I do not think any of his followers that consider him anything but a human with better perception, knowledge and definitely more courage






Harjeet Singh Randhawa  April 20, 2019 at 3:51 PM

Cunt quora. Captain will return and tear you and your alikes apart. You just wait and watch. Before a storm there is silence.




Akshay  April 20, 2019 at 6:07 PM
Namaskar Captainji,

Its very sad to see that you've decided to delete you blog, but its perfectly understandable. In my experience, most India-haters and Hindu-haters on online forums are Jaichand Hindus themselves. Sir, I don't understand why whenever an Indian Hindu gets highly educated, the first thing he/she does is attack nationalism/Hinduism. For example, one can see how most upvoters of the half-breed Raziman on Quora are Hindus themselves. I have begun commenting on TOI news articles recently and this "Indian" newspaper allows Pakis and anti-nationals to post comments. If Indians are acting like this, why should we blame our foreign enemies?

Sir, one more thing I would like to add is even if a thousand of us have reported/downvoted Raziman's and other antinationals' comments/answers on Quora, they will NEVER get deleted because the Quora leadership itself wants these answers to become popular. So, we are fighting a losing battle if we follow all rules of reporting content on these platforms because these online platforms are deliberately anti-India. I think the only way India can survive is if the government creates a "Jaichand elimination department" in the Police and armed forces.

Sir, ultimately I think its all about our destiny. If we Indians deserve to survive, we will follow your advice and thrive. Else, if we don't deserve to survive we will laugh off your advice (like the Liberals) and our future will be bleak (which we fully deserve). Thank you for your contribution to Sanatana Dharma Sir and your blogs are responsible for my awakening when I first started reading them in 2015.

Apologies if I have said anything oversmart/offensive.

Regards,

Akshay




Mohit HandaApril 20, 2019 at 10:59 PM
https://www.quora.com/Does-Quora-automatically-delete-a-question-if-it-mentions-Captain-Ajit-Vadakayil

My Answer

No If you are criticizing him.

YES, If you are referring to his blog and ideas

YES, If you reveal the truth. Definitely YES if its a bitter one.

YES, if anything you mention is contrary and threat to mainstream news media. Quora is a part of it.

Yes if the topics challenge main stream history books.

Definitely YES if it breaks the shackles of your’s and common people’s existing fake beliefs.


I get 8 upvotes, but no notification. The algorithm is completely rigged.



BELOW: RAZIMAN TV MUST KNOW THIS..  HE IS GUILTY OF TREASON TO HIS OWN WATAN..   

ACCORDING TO HIM ISLAMIC INVADERS  CIVILIZED INDIA.. 

WHEN THE JACKAL HAS TO DIE , IT RUNS TO TE SCHOOL STREET IN BROAD DAYLIGHT..






Amit Mittal  April 20, 2019 at 11:52 AM
to RAZIMAN tv wala response, Just posted a screenshot showing number of profile views of capt's blog.


Capt. Ajit Vadakayil  April 20, 2019 at 12:44 PM


GOOGLE WILL GET RID OF PROFILE VIEWS SOON..

THEY DID THAT TO "GOOGLE PLUS COUNT " --

I KEPT GIVING RUNNING COMMENTARY -- TODAY I AM OVERTAKING MADONNA-- TODAY CRISTIANO RONALDO -- TODAY MESSI ..

ONLY PM MODI AND BBC WERE AHEAD OF ME..BOTH INSTITUTIONS..

THEN SUDDENLY PUFFFFFFFFFF

GOOGLE PLUS COUNT VANISHED..

capt ajit vadakayil

..





SO SO SO

IS THIS POST ABOUT HEAPING PRAISE  ON MYSELF?

SORRY

IT IS ABOUT BACKING MY READERS , MY MESSENGERS --WHO HAVE BEEN BANNED AND RIDICULED ON TWITTER / FACEBOOK /  QUORA / YOUTUBE /  GOOGLE / NARENDRA DAMODARDAS MODIs MINIONS IN HIS MINISTRIES..

EVERY TIME MY READERS ATTEMPED TO OPEN A PAGE FOR ME ON WIKIPEDIA THEY WERE BLOCKED, ABUSED AND BANNED.     BUT HEY WIKIPEDIA WILL GIVE A PAGE FOR EVERY HOMOSEXUAL AND SLUT WITH PURULENT TWAT / ASSHOLE..



IT IS ABOUT PROTECTING THIS WATAN AND OUR GLORIOUS HISTORY AND CULTURE


IN THIS POST I HAVE INCUDED SOME "CAPTAIN PLEASE COME BACK AND RESUME BLOGGING"

"ONLY YOU CAN SAVE HUMANITY AND THIS PLANET"

YOU HAVE SEVERAL SOCIAL MEDIA KINGS ON THE PLANET --LIKE HALWAI DOCTOR CONMAN , PIGEON CHEST RAVINAR, TARAN TARAN THIGHS SONAM MAHAJAN ETC .. MAHAMERU WRITERS LIKE SHOBHAA DE, ARUNDHATI ROY, ETC

DO YOU THINK THEY WILL EVER BE IMPLORED TO SAVE HUMANITY AND THIS PLANET?
THERE LIES THE DIFFERENCE BETWEEN VADAKAYIL AND THE REST OF THE WRITERS ON THIS PLANET

capt ajit vadakayil

..




  1. EXHUMING LONG BURIED TRUTHS GENERATED MORE ENEMIES THAN FRIENDS -- IT IS A THANKLESS JOB..

    EXAMPLE:

    SIKHISM WAS A RELIGION CREATED BY JEW ROTHSCHILD USING KHATRI CRYPTO JEWS FROM PESHAWAR..

    THE KHALISTANI MOVEMENT WAS CREATE BY THE JEWISH DEEP STATE USING CRYPTO JEWS WITH PALE EYES.. THEY MURDERED INDIRA GANDHI WHO NATIONALISED ROTHSCHILDs BANKS

    IN 1857 SIKHS ( AND BR AMBEDKARs MAHARS ) SUPPORTED JEW ROTHSCHILD..

    http://ajitvadakayil.blogspot.com/2015/10/the-only-dalit-freemason-of-india-capt.html

    GREATEST HERO OF SIKHS IS MAHARAJA RANJIT SINGH.. HE WAS CREATED BY JEW ROTHSCHILD..

    MAHARAJA RANJIST SINGHs KINGDOM ACTED AS A BUFFER TO PREVENT AFGHANS / TURKS COMING INTO INDIA TO GIVE PIN PRICKS TO ROTHSCHILD..WHILE ROTHCHILD CONVERTED AFGHAN/ TURK MUSLIM KINGS TO JEW KINGS..

    ROTHSCHILD CEMENTED "SATI' , USING THE HAREM OF RANJIT SINGH ..

    THE "SATI" OF RANJIT SINGHs HAREM WAS FORCED.. DO IT OR BE SOLD TO WHORE HOUSES .. THE ENTIRE EVENT WAS CAPTURED BY ROTHSCHILDs MEDIA..

    IN THE POST BELOW READ THE PARAS BELOW THE PHOTO OF THE TIGRESS LICKING HER CUB ... THIS "SATI" WAS A ROTHSCHILD MANAGED EVENT ..

    http://ajitvadakayil.blogspot.com/2013/02/maharaja-ranjit-singh-rise-and-fall-of.html

    TODAY SIKHS WANT CONGRESS TO APOLOGIZE FOR THE SIKH KILLINGS BY HINDUs IN 1984..

    DO SIKH CHILDREN TODAY EVEN KNOW THE ETHNIC CLEANSING / GENOCIDE AND LAND GRABBING DONE BY ORDINARY SIKHS ( SUPPORTED BY KHALISTANI TERRORISTS ) ON THEIR HINDU BROTHERS?..

    THESE ETHNICALLY CLEANSED HINDUS ( WORSE THAN KASHMIRI PANDITS ) ARE THE ONES LIVING ON THE STREETS EVEN TODAY IN DELHI..

    THESE SEETHING AND FRUSTRATED HINDU MEN WERE THE FIRST TO RETALIATE AGAINST SIKHS ( LED BY SOME CONGRESS LEADERS ) IN 1984 -- THEY WERE ONCE PROSPEROUS LANDOWNING FARMERS IN PUNJAB , NOW LEADING MISERABLE LIVES AS COOLIES IN DELHI SLUMS..

    THERE IS NO HINDU WIDOW COLONY IN PUNJAB , MEANING HINDU WOMEN WERE BUTCHERED BY SIKHS--

    BUT WE HAVE SIKH WIDOWS COLONY .. HINDUS MASSACRED ONLY SIKH MEN IN 1984 NOT WOMEN.. HERE LIES A HUGE DIFFERENCE IN HUMAN CHARACTER ..

    IN THE GODHRA TRAIN WOMEN WERE KILLED BY MUSLIMS..

    DURING KNEE JERK RETALIATION GUJARATI MUSLIMS WOMEN WERE NOT KILLED BY HINDUS ..

    WHATEVER IS TOLD BY TEESTA SETALVAD / BARKHA DUTT / HARDH MANDAR/ SANJEEV BHAT ABOUT MUSLIM WOMEN GETTING RAPED AND KILLED IS ALL LIES..

    THE SIKH HOLY BOOK GURU GRANTH SAHIB WAS WRITTEN BY A WHITE JEW WEARING TURBAN, A ROTHSCHILD AGENT NAMED MAX ARTHUR MACAULIFFE..

    THIS BOOK WAS CLEVERLY CONVERTED TO BE THE LAST GURU OF SIKHS FOR A VERY GOOD REASON..TO CARVE OUT THE LAND OF ISRAEL USING TWO WORLD WARS ..

    ROTHSCHILD PLANNED CENTURIES IN ADVANCE..

    http://ajitvadakayil.blogspot.com/2013/07/unknown-history-of-sikhs-and-sikhism.html

    LIKE HOW A HINDU ORACLE WAS CONSULTED BY ALEXANDER THE GREAT AT THE TEMPLE OF DELPHI , BEFORE SETTING OUT FOR WAR..

    JEW ROTHSCHILD USED HUGE GURU GRANTH SAHIB BOOKS SPECIALLY MADE IN GERMANY TO BE TAKEN TO THE BATTLE FIELD IN ALL CORNERS OF THE GLOBE DURING WW2..

    SIKH REGIMENTS WERE LED BY THIS BOOK WHILE MARCHING TO BATTLE..

    BEFORE EVERY BATTLE SIKHS WOULD BE GIVEN LIQUOR ( MIND YOU SIKHISM DOES NOT ALLOW SMOKING AND DRINKING ) AND THEN A CRYPTO JEW SIKH WOULD CONSULT THE BOOK -- WILL WE WIN OR LOSE?

    NAIVE AND GULLIBLE SIKH SOLDIERS HAPPILY SACRIFICED THEIR LIVES FOR THIS BOOK PACKED WITH DASA VERSES.. DASAS NEVER EXISTED..

    SIKH AND MAHAR SOLDIERS WHO DIED IN WW1 AND WW2 WERE COUNTED AS WHITE SOLDIERS DEAD.

    GANDHI AND BR AMBEDKAR’S FATHER RECRUITED 13 LAKH ( 1.3 MILLION ) INDIAN SOLDIERS IN THE FIRST WORLD WAR – OUT OF WHICH 111000 ( 1.11 LAKH ) INDIAN SOLDIERS WERE KILLED .

    BR AMBEDKAR’S GRANDFATHER RECRUITED SIKHS FOR THE 1857 WAR TO KILL HINDUS AND MUSLIMS

    GANDHI RECRUITED 25 LAKH ( 2.5 MILLION ) INDIAN SOLDIERS IN THE SECOND WORLD WAR. OUT OF THIS 243000 ( 2.43 LAKH) SOLDIERS WERE KILLED.


    CONTINUED TO 2--
    ReplyDelete
    Replies
    1. CONTINUED FROM 1--

      TODAY KHALISTANIS ( FROM BRITAIN/ CANADA ) ARE BUSY PLAYING MOSES VIA THE STOMACH ( LANGAR ) -- ONLY FOR FEW DAYS TILL THEY HAVE BEEN COVERED BY WORLD MEDIA..

      CAPT AJIT VADAKAYIL SAVED THE YAZIDIS..

      BUT HEY, AFTER THEY WERE SAVED KHALISTANIS ( NOT FROM INDIA ) WENT TO YAZIDI LAND FOR THE OPPORTUNISTIC LANGAR PHOTO SHOOT , WITH ATTA DHALL AND ONONS IN THEIR SUITCASES ..

      SEE THEY ARE SO KIND.. SUCH GOOD SAMARITANS, THESE TYURBANNED SIKHS

      http://ajitvadakayil.blogspot.com/2014/08/the-yazidis-of-iraq-ethnic-cleansing-by.html

      AMBULANCE CHASING AND WARD COMBING LAWYERS ARE THE WORST ON THE PLANET WHEN IT COMES TO HUMAN CHARACTER.. ARE THESE OPPORTUNIST LANGAR BOYS WEARING BRIGHT COLOURED TURBANS ANY BETTER?

      RSS WORKERS ( WITHOUT TRADE MARK TOPI AND KHAKI CHADDI ) CLEANED OVERFLOWING AAARRGGHH PPTTTHHEEOOOYY TOILETS DURING KERALA FLOODS AT RELIEF CAMPS .. THEY WERE NEVER IN THE LIMELIGHT.'

      BUT HEY SOME KHALISTANI SIKHS STAYED IN 5 STAR HOTELS OF COCHIN AND GOT THEY LANGAR COVERED BY WORLD MEDIA..

      SEE SIKHS ARE SO KIND, THEY REACHED KERALA AND FED THE HUNGRY..

      I ASK SIKHS -- STOP YOUR LANGAR IN GURUDWARAS JUST FOR ONE MONTH AND SEE HOW MANY SIKHS COME FOR PRAYERS AFTER THAT..

      WHEN I STUDIED I MY TRAINING SHIP, ON SUNDAY SHORE LEAVE ALL MY SIKH BATCHMATES / SENIORS/ JUNIORS ATE IN THE GURUDWARA LANGAR AT MUMBAI-- ALL IN WHITE UNIFORM -- STICKING OUT LIKE SORE THUMBS..

      WE GOT ONLY THREE RUPEES FOR SHORE LEAVE EXPENSES ( CRISP NOTES ) , OUT OF WHICH 30% WENT FOR EATING BHEL PURI AND ICE FRUIT AT THE FERRY WHARF ITSELF..

      THE CADETS ALSO GOT THEIR WHITE TURBANS LAUNDERED THERE ..

      ANY WHITE JOURNALIST STANDING AT THE GURUDAWARA WOULD HAVE THOUGHT " OH BOY, SIKHISM IS CATCHING UP IN THE NAVY" ..

      EXHUMING TRUTHS IS NOT AN EASY JOB..

      WHEN I WROTE THAT ROTHSCHILD GAVE FREE LANDS ON EITHER SIDE OF CANALS ( NOT YET BUILT ) IN PUNJAB TO CRYPTO JEW PALE EYED ARORAS / AHLUWALIAS-- A LOT OF MY AHLUWALIA/ ARORA FRIENDS BECAME KHATTI WITH ME..

      THEY WENT INTO A DEEP SULK.. JUST BECAUSE THE TRUTH THEY FACE CONTRADICTED THE SHAMEFUL LIE THEY LIVE..

      THEY NOW KNOW HOW THEIR GREAT GRANDFATHERS SUDDENLY BECAME SUCH PROSPEROUS LAND OWNERS BY THE SIDES OF THE CANAL..

      BUT THERE WERE SOME SIKH FRIENDS WHO WERE GRATEFUL TO ME..

      THEY KNOW HOW THEIR GRANDFATHERS DISAPPEARED FROM FRANCE AFTER THE BATTLE OF DUNKIRK.. THEY FOUND PEACE..

      http://ajitvadakayil.blogspot.com/2017/07/dunkirk-christopher-nolan-2017-movie.html

      LIKE HOW CHINESE SLAVES DISAPPEARED FROM THE ISLAND OF PERU SHOVELING BIRD SHIT.. THESE SIKHS / MAHARS SOLDIERS ( RECRUITED BY AHIMSA VAADI JEW GANDHI ) JUST DISAPPEARED IN THE HORRIBLE TUNGSTEN MINES OF EUROPE..

      https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

      I AM TELLING JUST 5 % BECAUSE SIKHS CANNOT HANDLE THE TRUTH.. THEY DON’T EVEN KNOW HOW BRIGADIER SC PURI AND SEVERAL HINDU OFFICERS WAS KILLED BY SIKH JAWANS ..

      ONLY 1% OF THESE SHAMEFUL SOLDIER REVOLT EVENTS WERE EVEN REVEALED..

      ANY OTHER REGIMENT WOULD BE DISBANDED.. BUT HINDUS STILL ALLOW THIS REGIMENT TO MARCH AT THE REPUBLIC DAY PARADE..

      https://www.indiatoday.in/magazine/defence/story/19850228-indian-army-orders-court-martial-of-mutinious-sikh-soldiers-769837-2013-11-28

      KERALA WAS THE ONLY STATE WHERE THERE WAS NO RETALIATION AGAINST SIKHS AFTER INDIRA GANDHI MURDER.. SOME SIKHS AT “WHEAT HOUSE “ CALICUT BURTS CRACKERS. . HINDUS/ MUSLIMS/ CHRISTIANS/ COMMIES CAUGHT THESE BURLY SIKHS AND DARED THEM TO BURST ONE MORE CRACKER.. GAAND MEIN TATTI HAI TOH ..

      capt ajit vadakayil
      ..


Suman  April 18, 2019 at 2:23 PM
No one is going anywhere. Captain is staying and so are we.

India will be this world's no. 1 super power, Hinduism will revive its ancient glory, Santana Dharma series will go to 1008 and last till the sun goes supernova.

This is the final of the tournament, your enemies will give you pain.



VInithG  April 18, 2019 at 1:45 PM
Gurunadha,
As you always say we can spot all desh drohis in a kosher sponsored awards. likewise,I treat the Twitter,Quora and Facebook all are the spaces where we shall see Desh drohis and untruthful human beings reality and their plans.
We live still in SLAVE MODE…unable to come out immediately from our web…lost our Kshatriya dharmas and i have observed few things, your anger is right ,,,we have failed miserably in terms of flooding the social medias...however it cannot be reached until we all get united...yes, we failed in having a greater stronger UNITED community...
Having said that, your blog is the only common platform where real hearts longs for the true messages and judgment....the revolution will definitely happen, only matter of time....which i hope slowly passed on with full vigor by all your readers to their next generation....
I request every reader’s to take ownership and responsibility to start uniting the family members within their reach, Hope many are doing this like me and create a stronger united environment community with good thoughts and stand for each other. Unless otherwise I don’t see big change in future...teach the next generation our traditional martial arts and make them live united with dharmik thoughts. I live in chennai still i have found an Ashan to teach kalari for my kids this transformation is due to your highness, I learned REIKI from a good teacher because of your knowledge and wisdom which is shaping me and my next generation, this helps me to get more influence towards society...we can build a stronger safer next generation who can fight tooth and nail against all these scums...
I really face stiff challenges from my relatives and cousins with whom i discuss topics from your blog persistently...and believe me i can see changes; though it is in a slower pace and this small incremental in change is a bigger victory towards truth.
I vouch fully my present confidence, courage, honor and my living style to your knowledge and wisdom only.
You have all rights to do whatever you want but the little changes you made in our life will definitely stay forever for those who really admire YOU the Immortal..., it is time for everyone to do a Swadyaya to sustain any crisis and move forward with all your blessings.
Any ignorance and mindlessness of mine, please pardon me Gurunatha….
The world is reaching the utmost dynamics and complexity in spreading unlawful and illegal activities very little space for good people…
Praying to the ALL mighty GOD, Universe, Maharishis/Jnanis/Sidhhanmars and entire human race to get a solution from coming AVATARA PURUSHAN “ KALKI THE GREAT”…. Sooner….
GET United…




wolf pack  April 18, 2019 at 1:58 PM
Captain Ajit sir,

You are right in saying Indians are easiest to convert into traitors and refusing to wake up pretending to sleep.

I have been sending your blog contents to authorities through twitter, e-mail, mygov website for nearly a year.
Till now I have got only 4 responses from authorities.
1) Kerala information & public relations director [ in the case of disposing animal carcass during kerala floods]

2) Padma pillai ( during sabarimala verdict )

3) VHS rajasthan ( in your comment of RSS initially supported sabarimala verdict of supreme court)

4) Rajiv malhotra ( in the case of soul parking in 7 astral layers).

I have been banned from quora, all my answers deleted, twitter was locked many times, sidelined by colleagues for spreading your blogs.

Sir,
I am not a person to tell you what you should do, but I suggest you to change the current method. Changing of minds of Indians require much more than the online method. It needs physical prescence like books, organisations. I am ready to contribute.

I once tried to take print out of your blogs to distribute to politicians, bureaucrats. But when I removed the cuss words & world politics link, the blog didnt looked like a vadakayil blog.
That art of writing can be done only by you.

You have every right to close the blogsite. But for spreading the truth we rely on your blogs. If not your blogs link, we will be branded as mad dogs for telling the truth.

[ Already I am branded hindu fundamentalist for telling ayyappa is 9th avatar, conspiracy theorist for telling about rothschild]

Thank you for all the knowledge you imparted on us. I am sorry I disappointed you for not having expected courage, determination, speed.

I will spread your name, knowledge till my life ends. Hope you continue your guidance.

With gratitude
Gokulakannan
 


Madnight  April 18, 2019 at 2:00 PM
नमस्तेcaptain
You are the one who know what to do, and we feel sorry for the consequences we are facing today.

You have taken a whole generation out of this mayhem, isn't that enough in this kaliyug.
After getting blocked/baned by twitter and quora,it has become hard to spread your msgs.

Recently, One day I confronted a college senior on whatsapp group with your blog links suddenly everyone started calling me RSS, bhakt and all and even changed the group name with your name as a sign of mockery, later undid it.
What to say.

I consider myself a fool when I look back what I was a year ago, in may'18 I had the first glimpse of your blog, my friends now know about rothschild,
I suppose big change is coming,
You decide the change.





Mohit  April 18, 2019 at 2:10 PM
Namaste Ajit Sir,

Aap kaise ho..

Even Krishna was insulted by many, but he was not Karna or Pandav to get carried away. Same with Chanakya.

Please come back and declare it.
We can't keep loosing like battle of Plassey.
And not all Indians have slave mentality, otherwise 1857 revolt which we won wouldn't have taken place. But all truth which help us not feel inferior has been buried. You have helped revive it.

We will not stop.

Today I am going to read GITA again and I am sure that you will continue this journey.




Reflections  April 18, 2019 at 2:40 PM
Pranam Guruji,
Koti koti dhanyabad for not leaving us( readers+followers) in the middle of the silent revolution. Obviously we cannot change perceptions in a short period of time. I am trying on my own way to save vedic cows with humps, prescribing Suryanamaskar to my chronic patients with Neuropathic and Rheumatic pain. I am also sharing the benefits of A2 milk over toxic A1 milk. And also advocate organic agricultural practices.
Hindus all over the world were made to feel like savages because of growing cults by fake gurus who are hand in glove with zionist forces to destroy the mankind.
We all are moving forward, however tiny the steps are. Please dont leave us, you are source of inspiration and motivation of millions of people around the world.
Please captain dont abandon this ship. Your blog is challenging the 'established' facts ( not necessarily the truth) so the haters of Sanatana Dharma will give a fight. there will be more personal attacks on you. this should not deter you from informing the world the truth it deserves. speaking truth is not hate speech.
Strength and Honour always.
Dr Narayan Rizal
Bhutan.



Sambit Dash  April 18, 2019 at 3:30 PM
Guruji Pranam..
Wow!Great to see you are back Sir.
You will forever be our guru and our guide.My apologies for not being up to your expectations. But we will fight for Bharata till all these demons are defeated.Have always been and will always be grateful to you for your contribution towards me and our motherland.
Thank you Captain.



Pallavthepal  April 18, 2019 at 3:33 PM
Sir you know very well that if you wouldn't enlighten us in this darkness then no one else will. Traitors and enemies of Bharat Mata will be having a gala time when you announced to quit. Don't give them a reason to celebrate.



M Singh  April 18, 2019 at 3:35 PM
Sir,
I was not a self loathing indian but your blog gave me information and confidence so that i can shut the mouth of traitors/slaves around and make them think the other way also. I think it will take time but definitely mission started by you will be sucessfull. Please don't delete the blog.



Edward Elric  April 18, 2019 at 4:30 PM
Dear Followers,

I think everybody feels that Quora is showing answers on the basis of highest number of upvotes. So please give your upvotes to all positive answers of all questions related to the Ajit Sir and downvotes to negative answers. I understand that you have to invest a good amount of precious time but it is worth giving.

To Captain Sir,

you have been a silent Guardian to so many of us, so please don't go.

Thanks Sir

.

Unknown  April 18, 2019 at 4:53 PM
Dear Sir,

I reached your blog site 6 years ago broken, confused, having zero confidence, having no idea what's next and how to face life. In short I came here being a zero. 6 years later and after 5 and half years of struggle I've finally started growing in life. Its not something which I achieved by myself. As I see it being zero was the best thing that happened to me even though it was the worst, because I changed my perception by your blogs, your guidance. When I say "I", it's my ego but I have no other way to explain this.

I am a lot better and stronger person now than I was 6 years. Im able to perceive things better, I'm able to face issues and sort it out better. All because of the life guidance I received from your blogs. I wouldnt have lost 8 years of my life if I had your guidance before. And I'm just one in one billion Indian who have had a rapid transit in life by gaining from your blogs.

I'm a guy who is working abroad, my work hours are hectic and I do not get the time these days to do social media. I haven't logged onto my facebook since last 18 months. Until 2 years ago I used to read your blogs and comments daily but now im not able to do that on daily basis.

People may think I'm selfish to only gain from this blog site and not give back anything in return. Well I'm human but it's not for any of my selfish needs. I may not be commenting since last 2-3 years but what I learn from here, I'm spreading the knowledge as I can to my brothers, sisters, friends, parents. I do not force them, I'm doing exactly how you did. Give them the knowledge and let them to decide. Only thing I told them is, if you think this is right, spread the word to more, teach your children.

With that said, I hope you consider my humble request to never stop blogging. Changing the mindset of a billion people takes some time sir. Please give it a thought.

Much Respects
Thanks and Regards
Gautam



SJ  April 18, 2019 at 5:09 PM
Guruji,

I had just started reading the Sanatana Dharma series, kindly do not delete that or other posts. I get a lot of material to counter my brainwashed Leftist friends.

Dhanyavaad.



Gunjan arya  April 18, 2019 at 5:20 PM
Respected ajit sir,

I am very much ashamed of my myself as i never gave 100% to my nation and ur blog. Leader like u is impossible to find. Wn i came to the site .i was nothing or a useless idiot. Ur blog gave me a way to live like a proud indian. Your blog gave me light wn i ws in deep dark silence. I request u to please reconsider ur terms. Give us a chance to make it up to u. I can assure u, this time u will not regret. A plane without a pilot will definitely crash. A nation without a moral will definitely vanish. Please sir dont delete or stop blogging. We luv u very much sir.

Regards
Gunjan Arya



Gautam  April 18, 2019 at 5:31 PM
Dear Captain,

Request you to please restore the Sanatan Dharm series. This series is causing a silent revolution in India. Request you to please do this for your loyal supporters...just once.

Regards.

Gautam



VR  April 18, 2019 at 6:08 PM
Dear Capt,
You are only the Source.To end dark age.we need you.I am already blessed to find you .Thank you





Debdoot Sarkar  November 13, 2019 at 8:18 PM
Jai Gurudev ! I Am Elated, Yeh :) You Are Back, You Are Looking Stronger And Cooler \m/



Punith - SeekerNovember 13, 2019 at 8:19 PM
My God.. Captain.. I don't know how happy I am as every true follower of you. Thank God you are safe and back..🙏😇 I was really worried about your safety till I saw your comment in TOI. Thank you so much Captain. ️ Of course you are the only bright light we see in this dark world full of deceit. Please don't ever leave us. 🙏🙏🙏



Veena  November 13, 2019 at 8:22 PM
Dearest Captain
Thank you for coming back. Relief you are fine .
With gratitude
Dr. Veena J. Nair



Shailender Parmar  November 13, 2019 at 8:24 PM
Shat Shat Pranaam Guruji,


Long live captain, we are so happy that you are back with bang...



Harry  November 13, 2019 at 8:29 PM
You looking great as always! Great to see you back.

Rgds,



Mohit Prajapati  November 13, 2019 at 8:32 PM
Welcome back captain sir,

You are back with more energy than before. I have been checking your bolg few times a day just to see your new post.



Hadley Dmello  November 13, 2019 at 8:34 PM
Without you life is dull and boring captain saab
Only you can make us feel joy and pain at the same time


Charishma  November 13, 2019 at 8:34 PM
Thanks for coming back captain...love you forever...


Sagar Dev Bhardwaj  November 13, 2019 at 8:35 PM
Welcome back sir, we love you a lot 🙏


Nandulal Gavali  November 13, 2019 at 8:35 PM
Thank god You are back Captain...We were worried about you...We are very happy to see you safe.

Swami Sharan Ayyappa 🙏🙏



MahendraKumar  November 13, 2019 at 8:36 PM
Hari Om Ajit'ji
Welcome back 💐
Shatah Shatah Naman 🙏🏻🕉️
Hari Om



M M Srinivas  November 13, 2019 at 8:38 PM
Dear Captain,

Welcome welcome welcome!!

Nice to see you!

Happy Blogging!

AS usual you look great in the above photo!

Regards Sukanya
&
Srinivas

PS: WE missed you Captain!




Sudheer  November 13, 2019 at 8:39 PM
pranam captain ji
boss is back


Vyshak Samak  November 13, 2019 at 8:43 PM
Wohooooooo!!!!

Delighted. Our's Truly is back and how!

Looking sharp.



Ishana  November 13, 2019 at 8:46 PM
Hi Captain Sir, I am so happy that you are back ! Was really feeling the big vacuum and felt like giving you a call, had picked up the mobile as a natural response to connect to someone you really cared and when realized that we don’t have your
number , felt disappointed. Our wishes are always for you and May God be with you always!!



Vikas Gandhi  November 13, 2019 at 8:47 PM
Dear Captain,
Great to see you!
Grateful to you always



Karthikeyan Karunakaran  November 13, 2019 at 8:48 PM
OMG..!!! Captain you are back..!!!

Thank you..!!
I had a guilt feeling that a question that I asked you earlier triggered a lot of negativity

Then you stopped blogging.. and I didn't know what else to do..
Thank you very much for coming back..!!

Thanks and Regards,
Karthikeyan K




Pratisara  November 13, 2019 at 8:48 PM
Not everyone who worries is vocal. Some internalise.
Good to see you back!



Bert  November 13, 2019 at 8:49 PM
Dear Capt Ajit Sir,

Welcome back and looking stronger than before!

Friends asked what happened to Capt...well I have a feeling you're detoxing bad energy and energising all the good ones to a full 100%!

Bert



Shriram hedge  November 13, 2019 at 8:49 PM
We love you Sir ! Welcome back !!


Ramkumar Jayaraman  November 13, 2019 at 8:50 PM
Oh my God... How to express this feeling... Here comes the only man with guts, our great guru Captain Ajit Vadakayil... Captain Pls accept my Namaskaram... Hope you are doing good after the break. Pls take care.



Mohit HandaNovember 13, 2019 at 9:00 PM
Everyday felt like a year...


anurag k  November 13, 2019 at 9:03 PM
Woo Hoo !! Captain happy to see you back, missed you a lot. I did not message thinking daily you would resume tomorrow. But did keep strict check daily on blog and fb group for any update.

Also, Captain I suggest to spam those who are daily posting bulls*hit unwanted information to save your and everyone's time and mental peace.



Jayasree Narayanan Pillay  November 13, 2019 at 9:17 PM
Namaskar Guruji, Now i feel relaxed, after seeing your blog and pic. Visited your blog daily, was also discussing with my hubby and parents about your absence. It was total boredom without your absence. I thought you wanted a break as you have done some much for us and for the planet. Waiting for your Vadakayil Swing in action. Love you always. You are looking fully charged like the "Savitur". Hats off.



PP  November 13, 2019 at 9:17 PM
Joyful to feel your presence again.


Aiswarya r  November 13, 2019 at 9:19 PM
Thankyou sir for coming back!


Omkar Padhye  November 13, 2019 at 9:20 PM
Dear Captain..
So nice to see you back..
Regards
Dr.Omkar Padhye.


Mitesh  November 13, 2019 at 9:29 PM
Namaste Guruji,

Great to see you back...


wolf pack  November 13, 2019 at 9:31 PM
Wow!. What a comeback, Captain ji!.
I prayed for your wellbeing.
Now I am glad that you came back for imparting knowledge to readers like me.


Saathvik Bhat  November 13, 2019 at 9:42 PM
Super. Captain is Back.!! hope everything is good and well with you.


VaronGNovember 13, 2019 at 9:48 PM
With utmost gratitude ,
🙏🏼🙏🏼🙏🏼🇮🇳🇮🇳🇮🇳🇮🇳 Thanks for becoming beacon of light for me and many others!!
Shine on Gurusrestha


Naren  November 13, 2019 at 9:51 PM
So happy that you have returned Captain! Can't express my feelings in Words.Forever will be grateful to you Sir.


Free Spirit  November 13, 2019 at 9:51 PM
Namaste

I was really worried that something happened to you.. Then I meditated and sent some intention around to only find out if all is well. And the answer was that it was. So I was chill since then and patiently waited till you wrote again!

Good to have you back, Captain! :) Thanks.


Rahul  November 13, 2019 at 9:55 PM
Welcome back captain.


Milind Tamore  November 13, 2019 at 9:56 PM
Namaskar Ajitji,
Good to see you back. We were really worried about you. Discussing everyday with my wife. Always wished for your Well-being.
Even though you were offline for a month, we were doing our bits.
Without you, feel like away from light and Sun. Since you are back fully Charged, it will give us more vigor and impetus.

After RamJanmabhumi verdict, tomorrow is a big day for Sabrimala. Feel Optimistic on tomorrow's verdict.

Pranam,
Milind Tamore



AghastHere  November 13, 2019 at 10:03 PM
Welcome back, Capt. Thank god!



Yogi  November 13, 2019 at 10:06 PM
Thank God!! Was almost depressed with the absence.

Om Namah ShivayNovember 13, 2019 at 10:09 PM
Thank you very much Gurudev.



Saurin Purohit  November 13, 2019 at 10:12 PM
Thank you Capt. Thank you



Unknown  November 13, 2019 at 10:34 PM
Sir, it is a relief to see you bounce back again.


RVK  November 13, 2019 at 10:39 PM
Dear Captain Sir Namaskaram Very Happy to see you back . You have become a part of my life, was missing you Sir. Thought that tommorow you will be back for sure. Thank you.With Gratitude RVK


Vishwa  November 13, 2019 at 10:42 PM
Relief to see you back Captain all i can say is that.


Thyaga  November 13, 2019 at 10:44 PM
Welcome back Captain ji!!! Very happy to see you back ji..


Rakesh Prattipati  November 13, 2019 at 10:45 PM
Dear Captain,

So happy to see to back blogging. Always had you in my thoughts and prayers. Many readers might have worried about your wellbeing, but I never doubted your return. Bhagavan has directed you towards this mission of guiding and enlightening the souls of the planet, this herculean mission which no man can ever dare undertake must definitely drain a lot of energy and time. Now that your batteries have been replenished the mission will proceed further with great vigor and we as readers will put more efforts in spreading your message.

And Captain your new avatar is just smashing.



Daamini  November 13, 2019 at 10:45 PM
Thank you Captain 😍🙏



Aman Thakur  November 13, 2019 at 10:47 PM
Shukr hai.Welcome back captain..missed u sir..i was worried..feeling something went off my chest


Vicky pokhriyal  November 13, 2019 at 11:03 PM
Welcome back captain...:-)



Daamini  November 13, 2019 at 11:07 PM
Captain have u not received our telepathy msg. I can not think any negative about u captain never I will. Including me so many people missed u captain but we sent telepathy msg to u. I know our msg is reached u, we learnt that from ur blog only about quantum energy. Thank you Captain, we love you.


Anil K  November 13, 2019 at 11:14 PM
Sir,
Thanks for blogging again...
Your absence made me realise that your blogs have become an integral part of my life...
It's a blessing to have you back...

With Gratitude,
Anil.



VInithG  November 13, 2019 at 11:17 PM
Gurunatha Namaskaram!
My prayers to God heard and immense happy to see you again.Today is my parents 53 wedding anniversary and I am also shifting to a new rented house tomorrow please bless my family.
Anantha koti namaskaram!!!
Vinith



SSagar  November 13, 2019 at 11:20 PM
Really worried about your health..but not asked here...nice to see you again..welcome back


CPV Kumar  November 13, 2019 at 11:22 PM
Good evening Sir, So happy to see you..


Yadagiri Gawrayya  November 13, 2019 at 11:25 PM
Long live Captain !!!



Mohit Handa  November 13, 2019 at 11:26 PM
Namaste Capt Ajitji

So it was like the fake sunset created by Krishna which led Kauravas (aka detractors of Capt) to believe they have won.



Chiron  November 13, 2019 at 11:27 PM
Thank you Captain for coming back. Had been sending out best wishes for the health and well being of you and yours. But was prepared to respect your decision if you chose not to come back.



C Prabhu November 13, 2019 at 11:33 PM
Great to see you back Captain Sir, what a great relief !! Jai Hind !!


Pratik  November 13, 2019 at 11:49 PM
a grand welcome sir, just came across a wonderful song and i want to dedicate this song to you - Guantanamera

https://www.youtube.com/watch?v=9QO4aegj-jA

may you live 100+ years. _/\_



Kapil Agarwal  November 13, 2019 at 11:55 PM
What an entry Captain!!

People are writing back welcome back. I would say thank you for welcoming us back.😊



Sudhir105  November 14, 2019 at 12:04 AM
Welcome back captain.



संदीप  November 14, 2019 at 12:05 AM
Respected Captain
Pranaam,

Great to see you back
Regards



VP  November 14, 2019 at 12:12 AM
Welcome back captain! Delighted to see you again:-)



Jignasu  November 14, 2019 at 12:20 AM
Namaskaara Captain - Elated to see you back! Never stopped checking the blogspot for your reemergence. Always knew as the leader of men you wouldn’t leave your mentees in a confused state. I am very sure you needed this break and definitely had a great time as you would have planned. Thanks for being back full time.


Dhanywaada.
Kiran

Anonymous  November 14, 2019 at 12:27 AM
Dear sir,
Welcome back
Wishing you sucessful days ahead regards
Divij



Suman  November 14, 2019 at 12:53 AM
What a relief! Thanks a lot for posting your photo. Happy to see you.

Ab bajao jiska bajana hai!

Not able to see you posting is very painful.



DHARMAPADA  November 14, 2019 at 12:56 AM
Thank you Dear Ajit Sir, you are back & we feel relieved

We missed you a lot

We were totally shattered

Still can't believe that you are back!

I can sleep peacefully & happily tonight.


dinesh loves india  November 14, 2019 at 12:59 AM
Thrilled to see you back in action Captain Sir.🙏
Missed you & your positive energy,valuable insight & guidance.
I know it's going to be a gr8 innings now that you are relaxed & recharged !!🤗😃



Rohit  November 14, 2019 at 1:07 AM
Great to see you back. I was genuinely concerned about your health and safety. God is great.


ABHIJIT M  November 14, 2019 at 1:28 AM
Welcome back Guruji..
So happy to see you, we were so worried.

Pranaam



Chadhag  November 14, 2019 at 1:40 AM
Glad to see. U back sir.. Great news.. Knew u were taking a break.. I did acquire but in fb group whwre someone else also said u r taking a break.. And a much needed one..


Shivoham  November 14, 2019 at 2:00 AM
Captain,

Welcome back sir..



Rohit  November 14, 2019 at 2:03 AM
Pranaam Captain,

It is very nice to finally hear from you after so many days.
My mind is ready for some mental floss in the form of mind blowing facts from you.


Respectfully,
Rohit.



Levin  November 14, 2019 at 2:05 AM
Thank you god the captain is back.I cannot express how happy i am.May god shower all the blessings on you.




Kannan  November 14, 2019 at 2:13 AM
Namaste Master Ji

Thanks a ton. your come back is real blessings.

Happy to see you back.
Feel like every cells charged with happiness.

Namaskaram to you Master ji






viswa.vishnuNovember 14, 2019 at 2:38 AM
Dear Captain, Welcome back. I was releived seeing you back in action. I was thinking of hiring a private detective to find out what has happened.



Rahul Sharma  November 14, 2019 at 2:44 AM
yeah Captain is back... Wow captain your legs are like steel .. how can we get such legs , do a leg workout challenge like your dumbbell challenge. So happy you are back , i was just praying and hoping for last one month that you do not quit blogging. Very happy that Ram Mandir judgement was is favor of hindus. But Sabrimala judgement is pending and i think the judgement will go against us ( i hope not) but i feel ram mandir lolly-pop has been given to hindus so modi can allow justice ranjan gogoi to give judgement against sabrimala and then say judiciary is fair and ask hindus to shut-up. Do you think sabrimala judgement will be in favor of Hindus. What are the 5 judges bench upto, whats going on in the judiciary.




Rajesh Rawat  November 14, 2019 at 3:10 AM
Happiest Day of my life

Jai ho Captain

Om Namah Shivaya





deofevente  November 14, 2019 at 3:25 AM
Welcome back Captain!!!

Happy to see your pic, fresh as ever.

Awaiting your write up on Kashmir and Shree Ram Mandir.

Pranaam...
Regards,
Gaurav



Anu21  November 14, 2019 at 3:27 AM
Healthy & Long life to you Captain Sir... what a relief that u are ok... i messaged last night and here you are:-) should have asked for another million $s jai ho... waiting to hear your view about Ram Mandir and bjp ss split, jai hind




Nicolas C.D  November 14, 2019 at 4:31 AM
Dont believe it! I was concerned, i have límited connection time.

Regards!



rajan  November 14, 2019 at 4:52 AM
Thank God and really happy to see a new topic from you captain...was waiting and checking your blog everyday since you stop blogging...thank you




Gaurav B  November 14, 2019 at 5:10 AM
Respected Captain , WOOO hoooo....Greatttt!!! to see you back...looking recharged and solid.
So happy
Pranaam.




KrishPillai  November 14, 2019 at 6:19 AM
Welcome back, dear Captain! Back with a Bang!

Warmest Regards
Krish Pillai




Slasher  November 14, 2019 at 6:49 AM
Captain:
Welcome back! Very happy to see this post! It looks like one of your classic posts on Pol Pot and Nixon. Wish you health wealth and happiness always. Hope we get a great ruling on Sabarimala tomorrow which is what I am watching.
All the best,
Slasher



Kapil Rawat  November 14, 2019 at 6:51 AM
Namaste guru ji
Thank you for coming back.Thank God you are safe and back..🙏😇 I was really worried about your safety. Thank you so much Captain. Guru ji you are the only bright light we see in this dark world full of deceit. Please don't ever leave us. 🙏🙏🙏

With gratitude
Kapil Rawat




Anupam  November 14, 2019 at 7:18 AM
Sir,
Without ur blog the sites are lifeless. Now ur bounce back again. It's feel great




Cybergeek  November 14, 2019 at 7:32 AM
Finally there is some light after all these days of darkness. Was fearing the worst but am now relieved that you're hale and hearty. Your last post was very sad and touching. Was also greatly disturbed to see your curse, which is justified.

Hope to see better times ahead for Bharat as well as for the followers of Dharma.

With deep gratitude and respect,

- Srinath Iyer




Vin  November 14, 2019 at 7:53 AM
Dear fatherly Ajit ji, I am very happy that you was on much needed break. Thank God. You have to be the torch bearer atleast till Kalki Avatar appears to us. I have not your this blog. But, I am very happy and wanted to convey that to you.




Shouri Suman  November 14, 2019 at 8:17 AM
Hi Captain,

Good to have you back. My education was feeling incomplete. And super topic to get back into the groove. Escobar and Bolivar. I kept reading up your old blogposts during this hiatus though. There is so much detail and information in them already.
regards
SS




Ravi  November 14, 2019 at 8:58 AM
Cheers, Captain.
It's not over till it's over.
Peace and love.

Ravi
KL



Visvanathan  November 14, 2019 at 9:33 AM
Welcome back Captain,
I feared the worst and thought deeep state kidnapped you and started influencing the narrative on Delhi pollution, Kartarpur corridor inauguration, Trump impeachment trial. Great to have you back. Wish the best.




Rakesh Kumar Khandelwal  November 14, 2019 at 9:34 AM
Happy to see you back sir...

Been here since 2010.. "Activity Traps" being my first connect point :)
This is the longest you have stayed disconnected.
In a way it was a test for all of us...whether we can stand tall ourselves or not...
Well...Feels always better to be with the teacher :D

Regards




Mr. Robot  November 14, 2019 at 9:57 AM
Deep state ki gand fatti woooo.
Vadakayil Rocks 🙌




A Tiwari  November 14, 2019 at 10:33 AM
Welcome back sir , very pleased to see you again …glad you had a time out .. learnt the hard way how important it is to take a break when the first signs appear else unhappiness takes hold … glad to see you back in full form …
As for the nation I think we are slowly moving in the right direction not because of any one leader but slowly people in small chunks are realizing that this way is not right ... and are coming together … no doubt we will have inimical forces having their way once in a while but at least we are changing direction slowly
welcome back again



Bala  November 14, 2019 at 11:15 AM
Pranams captain. The one month disconnect was more of a punishment for us. Words cannot express how relieved and happy i am. All other readers will feel the same i believe. had prayed God for your well being also. You see the human mind very easily slips into negative mood in case of any abnormal prolonged absence. I tried hard to think otherwise. Happy to see you back captain. Had sent many one line messages in your old blogs just to test. no comments published in any blog. Pranams on this Guru var. Bala




Sangeetha  November 14, 2019 at 11:46 AM
Welcome back, dear Captain.




Shivoham  November 14, 2019 at 11:49 AM
Hi Capt,

Glad to see you in good health!




Naveen Kumar Sharma  November 14, 2019 at 12:10 PM
Welcome back dear Captain....




Ramas  November 14, 2019 at 12:21 PM
Happy day today for all of us loyals of hindustan. Internet is again alive with your reentry.long live the mission. Jai Hind.




abishek venkat  November 14, 2019 at 12:26 PM
Hi Captain Saab,
Welcome Back. Glad to see u in gr8 shape. Thank You Once Again!!!!




Naveen  November 14, 2019 at 12:41 PM
Dear Sir,

Thank god your safe and back.





Krish  November 14, 2019 at 12:50 PM
Thank you Captain for coming back...

Happy to hear from you and to see your pic💐




Ajith Nair  November 14, 2019 at 12:56 PM
Hello Captain,

Glad to see you back.

Regards,
Ajith.




Sameer  November 14, 2019 at 1:08 PM
Glad to see you again Guruji. Lots of love and respect. More power to you 🙌🍻




neostar  November 14, 2019 at 1:39 PM
Thank you and glad to see you again sir.





RN Murthy  November 14, 2019 at 1:56 PM
Dear Capt Ajit sir,

Thanks to you that you are back, we need to fight such anti-traditions folks like Trupti Desai.
Let Lord Ayyappa give you all the strength and vigor to be thumping with more strength now to ensure India gets to #1 spot and we are the holders of dharma for the planet.
Swami sharanam Ayyappa sharanam.




nsrv  November 14, 2019 at 2:04 PM
Dear Captain,
very happy to see you back. i was deeply worried due to ypur prolonged absensce. but was sure you will come back with all vigour.




Sambit Dash  November 14, 2019 at 2:13 PM
Guruji Pranam
It is wonderful to see you back..you look fresh and rejuvenated..and it has been a grand return to blogging with another mindblowing post.
Thank you.





S  November 14, 2019 at 2:24 PM
So happy to see you back. I had a dream in which you were enjoying yourself playin guitar like the guy from AC DC.




Abhijeet Rai  November 14, 2019 at 2:51 PM
Dear Captain,

Welcome back, Was missing your articles and comments.

Kept on checking the site almost every day.

Was even thinking of calling you to check on you not sure how since I don’t have your number 😀

Deep down I was also worried about you & your health.

God Bless.

Thanks,
Abhijeet.




Anonymous  November 14, 2019 at 3:20 PM
Respected Sri Ajitji,

I could not believe my eyes that there is a new article today ! I refreshed the webpage to make sure ! Happy to see you back.

dhanyosmi
manju




Trinity  November 14, 2019 at 3:22 PM
Dearest Sir and Ma'm,
Really happy to see you back in action sir.i hope you had a wonderful time rejuvenating with your lovely family!!
When you were not blogging i spent a lot of my time listening to Bhagavad Gita discourses by the great Swami Chinmayananda,it was awesome!!and also other spiritual videos!!
The Bhagavad Gita is my most favourite book ever in the whole world though i have not read it fully!!
It is my strong faith that no harm can ever come to you and your family as Lord Krishna says that one who does selfless service to his fellow beings and is pure/true hearted for him--YogaKshemam Vahaamyaham!!the Supreme Almighty's grace is ever there with you and your family!!i had you and Ma'm in my heart always to keep me going and i believe that all good in my life is all because of you and Ma'm.hope i did not get too sentimental though it's the truth.
Lots of Love to you and your family!!
P.s--you are awesome in the pic sir, more power to you 👍👍




MERLINBEE  November 14, 2019 at 3:38 PM
Sir, at least I know that you know..whatever it is, mission not accomplished..even staying away is part of your strategy.. you deserved this rest and good to see you back again..





MeraBharat  November 14, 2019 at 3:51 PM
Dhanywad Captain for coming back, We were worried by you. However I noticed that you took break some days ago and felt a sense of relief. I see many people were using your words when you were away. Welcome Back.





pallavthepal  November 14, 2019 at 4:23 PM
नमस्कारगुरुजी
Great to have you back and roaring...traitors are trembling in their beds.





Unknown  November 14, 2019 at 4:38 PM
Welcome back Captain! You were really missed!




Prashant Nayak  November 14, 2019 at 5:06 PM
You are always in prayers....Happy to see you back.




Prashant  November 14, 2019 at 5:07 PM
pranam captain,

glad to see your post. I confess I was lost in one of your old posts (donald trump series). it takes a long time to finish some of your intense series. so nowadays, I am looking out for recent posts so as not to miss any important messages. thank you very much captain for all the knowledge.




Anish Bhandarkar  November 14, 2019 at 5:07 PM
Welcome back Captain 🙂
I have polled this site multiple times a day in the last 30 days to see if you’re back. Did not lose heart because somehow I knew you were ok. Hence did not leave frantic messages.
I did go on a KERALA yatra to many of the important temples and monuments you have written about and was waiting to report back to you and readers 🙂 will do so soon.
Love,
Anish.




Radhika  November 14, 2019 at 5:23 PM
So happy to have you back! I've been missing your posts and have been coming back everyday, ever hopeful..




Rajeev  November 14, 2019 at 7:06 PM
Welcome back Captain. Life was incomplete without your blogs. Though Most of contents is above my average brain but whatever I gain had made a huge difference in my life. Thank you captain for coming back for yours children of India. God bless you




SindhuCheraPutra  November 14, 2019 at 7:30 PM
Dear Capt Ajit Sir
happy to see you back sir..
visiting the blog during this period was very reflective..
esp in context of the last post..
missed you but felt it must be for a good reason..
with best wishes and regards
sameer




G  November 14, 2019 at 7:45 PM
Captain Sahib! Guruji! Great to see you back. Like others I was worried.
Tamso ma jyotirgamaya.

Garvit




Razor.Skidrow  November 14, 2019 at 8:14 PM
You are out greatest asset Ajit Vadakayil. I wish we could clone your Khsatriya blood, Indians need this.

.


Pat  November 14, 2019 at 8:33 PM
Dear Captain
Glad to see you back -Feared we had lost u forever .Tx again n God bless
Yous humbly
Pat




Geeta Nambiar  November 14, 2019 at 8:35 PM
Namaskar Guru Ji ,

Great to see you are back, I thought you went to your son house in USA taking some family time, we were pretty sure that nothing can happen to you & neither your voice can be silent, although day we heard about coup in bolivia we were slightly worried thinking Rothschild lobby is attacking back Trump impeachment was also tried, that time it came in mind that R Indian agent might have tried closing this account. Since you are back our well wishes for your good health





SiD  November 14, 2019 at 9:47 PM
Welcome back Capt.
Saw you posting yesterday...had a great sigh of relief..

and nice pic Capt..:)





kumar  October 20, 2019 at 9:27 PM
Dear Ajit sir, we have much respect for you, like our big brother or father figure. we all know the devotion and unwavering dedication you have towards the betterment of our country and sanathana dharma.it can not be matched with anything else. you are a special person for us, always in our hearts. may be we are bit slow for you or you are fast for us, may be we are busy with our own livelihood or day to day chores. please forgive us if there are any limitations from our side as we are like your children / brothers, please sir please forgive us. praying for the well being of you / your family and for Bharat.
--- Bharat matha ki jai ----

with gratitude,
s kumar



Pratik  October 21, 2019 at 4:29 PM
Sir are you alright. I am worried.. Is this silence for purpose ? Or are you doing swadhyay ?




S  October 23, 2019 at 4:06 PM
Just wanted to say. You are the BOSS. there can never been another Ajit Vadakayil in thousands of years. May God give you a long life. God knows how many "shipwrecked" souls you have saved by your blogging.

- Sasmit






Pratik  October 23, 2019 at 5:06 PM
dear sir,

Looks like you have quit blogging. It's a black days for us then. Totally our loss :( please don't go sir. We need you.

Regards




Punith - Seeker October 23, 2019 at 10:27 PM
Captain,bi don't know whether k have confessed this earlier or not.. but you're the reason I'm still alive today... I owe u alot.. and I don't know how to repay it.. I am trying to do my best.. but I know it's not enough.




charishma October 25, 2019 at 9:26 PM
The man who made a dent on the planet by exhuming sanathanadharma and exposing deep state suddenly went silent...why captain?I dont know whether you are reading our comments or not...
HAPPY DIWALI TO YOU AND UR FAMILY CAPTAIN...
Atleast come live on blog occassionally captain..we want to listen from you and feel your presence on blog....dont boycott us forever...love u forever...
Take care...

With love
Charishma





Nishant Goyal  October 26, 2019 at 8:33 AM
Please come back. It's Diwali. Please Guruji. Humanity needs you. Shat shat pranaam.





Sambit Dash  October 26, 2019 at 11:25 PM
Guruji Pranam
Happy Deepavali to you and your family and all dear readers.
It is evident that you are angry at your readers and rightly so..I feel we don't deserve a guru like you..years of being raised in a mindset of slavery has numbed us into indifference..but we have woken up thanks to you..it may take time but slowly n surely we will be the brave truthful citizens of Bharatmata that you want us to be..
Thank you for all that you gave us.
Strength and honour always..





Cybergeek  October 27, 2019 at 7:30 AM
Respected Sir,

Wishing you and your family a Happy Deepavali! I sincerely hope that you are safe and doing OK. The silence is deafening!!

I agree that the world and especially we Indians don't deserve a guiding light like you! It is better to perish because of your curse or Kalki's purge rather than being destroyed by the forces of darkness.

The world is getting crazier day by day and the plan's of NWO are well under way. Hope that we get to see the effects of Kalki soon.

Sincerely,

- Srinath




Amol Vijay Sutrale  October 27, 2019 at 8:56 PM
Dear Captain, wishing you and your family a very Happy Diwali. I'm writing to you after a long time.

A lot has changed. Your blog has evolved.

You have become the last bastion of trust for entire humanity to uplift itself from dark age of disinformation.

You cannot stop writing.

Do not expect your readers to leave their life responsibilities to spread you.

You do not need it.

Your readers are mainly hardworking people who toil to make ends meet.

You have led a silent revolution, beginning alone.

We readers want our old Captain back,who could tide any storm, singlehandedly.

We want our super confident leader who instilled pride in our hearts for our origins.

Stop this status quo.

We humans do not know, how much time is left in our lives with each passing breath.

Keep writing as always.

Give all that you can.....to humanity.





Pratik  October 29, 2019 at 12:55 PM
guruji, please return back.. lions never back down and we need you.. plz..




PratikOctober 30, 2019 at 8:36 PM
Guruji

I understand your pain beacause of the ungrateful readers who don't want to spread your messages and obtaining free ka maal. But please don't quit blogging for the sake of our future generations. Please guruji. If you don't reveal all nobody can till sun goes supernova. Nobody can do sphota thinking like you in future also I doubt. You are shining the light of truth in this ignorant , dark world. Please request you to come back.

Pranam.


C Prabhu  October 30, 2019 at 11:40 PM
Captain Sir,

Please come back, country needs you. Please reconsider your decision, reduce your activity on blogs if necessary, but please do not desert us.

Regards,
C Prabhu




Ramas  October 31, 2019 at 1:55 PM
Come back to writing pls.
..if i may take the liberty, Krishna asked to do karma without caring for the results..
You are the most inspiring person in my life.
I am doing what you asked as per my abilities.




Krish  November 4, 2019 at 4:16 AM
Captain

Good Morning, though I am not your son, but you will be inside my heart along with my father shining as my Guru


Respect
K




Anurag Malhotra  November 6, 2019 at 10:06 PM
Dear Captain sahab, A teacher does not abandon his students, however nalaayak they are.
Please come back.




Unknown  November 6, 2019 at 10:41 PM
It is very painful and demoralizing Capt. Please come back.
Atleast say that you are fine and you are busy!!
Please do not be indifferent.

Regards
S




ABHIJIT M  November 9, 2019 at 12:26 PM
Guruji..Ram mandir verdict is in our favour..It was only possible because of your perserverance. Request to please come back! We all are missing you badly.

Jai Shri Ram




Jayasree Narayanan Pillay  November 9, 2019 at 3:21 PM
Guruji please come back - we need to celebrate the news of Ayodhya Verdict with you.




Suman  November 9, 2019 at 3:34 PM
Dear Captain,

Congratulations! Ram temple in Ayodhya. Your efforts have paid off.

Your readers love you Captain.

Suman




Satish Patil  November 9, 2019 at 5:09 PM
We are missing you in this historic win Capt Ajit Vadakayil.. You made us all proud of our Hindu Roots and to the watan

We want to celebrate this win with you

Jai Shri Ram🙏🙏




Sangeetha  November 11, 2019 at 8:38 AM
We miss you captain , in this moment of happiness of Ayodhya verdict. Hope you are well.



Amit Mittal  November 11, 2019 at 11:03 AM
Chettan

Pls return back.

You may feel that your readers are not following your instructions. But they are following the true knowledge received from your posts. They are no more SELF LOATHING Hindus. They are now proud Indians and Proud Hindus.

Pls resume yory blogging, it may not serve your purpose by giving comments in the newspaper websites.

Your mission is being spread by your readers in a stronger way.

Regards

Amit Mittal




Dearest Captain
Kindly let us know you are fine ...please

With gratitude
Dr. Veena




S  November 13, 2019 at 10:27 PM
Dear Capt,

We are in Bliss now!

We were so worried and in DEPRESSION!

I am speachless...

Thanks for you gratitude on us vigourless/spineless/worhtless fellows!

Regards,
S





Hema  V
Namaste Sir
I guessed it right Sir.
When you mentioned "WATCH THIS SPACE.. I MAY BE RE-LIVING A TERRIBLE STORY." I guessed you were taking time out and I was reading your old blogs to keep up my spirit.Words are not enough to express the good you are showing.
Gratitude
Hema





Pratik October 23, 2019 at 5:06 PM
dear sir,

Looks like you have quit blogging. It's a black days for us then. Totally our loss :( please don't go sir. We need you.

Regards



Punith - Seeker  October 23, 2019 at 10:27 PM
Captain,bi don't know whether k have confessed this earlier or not.. but you're the reason I'm still alive today... I owe u alot.. and I don't know how to repay it.. I am trying to do my best.. but I know it's not enough.




charishma  October 25, 2019 at 9:26 PM
The man who made a dent on the planet by exhuming sanathanadharma and exposing deep state suddenly went silent...why captain?I dont know whether you are reading our comments or not...
HAPPY DIWALI TO YOU AND UR FAMILY CAPTAIN...
Atleast come live on blog occassionally captain..we want to listen from you and feel your presence on blog....dont boycott us forever...love u forever...
Take care...

With love
Charishma




Nishant Goyal  October 26, 2019 at 8:33 AM
Please come back. It's Diwali. Please Guruji. Humanity needs you. Shat shat pranaam.





Sambit Dash  October 26, 2019 at 11:25 PM
Guruji Pranam
Happy Deepavali to you and your family and all dear readers.
It is evident that you are angry at your readers and rightly so..I feel we don't deserve a guru like you..years of being raised in a mindset of slavery has numbed us into indifference..but we have woken up thanks to you..it may take time but slowly n surely we will be the brave truthful citizens of Bharatmata that you want us to be..
Thank you for all that you gave us.
Strength and honour always..




Cybergeek  October 27, 2019 at 7:30 AM
Respected Sir,

Wishing you and your family a Happy Deepavali! I sincerely hope that you are safe and doing OK. The silence is deafening!!

I agree that the world and especially we Indians don't deserve a guiding light like you! It is better to perish because of your curse or Kalki's purge rather than being destroyed by the forces of darkness.

The world is getting crazier day by day and the plan's of NWO are well under way. Hope that we get to see the effects of Kalki soon.

Sincerely,

- Srinath





Amol Vijay Sutrale  October 27, 2019 at 8:56 PM
Dear Captain, wishing you and your family a very Happy Diwali. I'm writing to you after a long time.

A lot has changed. Your blog has evolved.

You have become the last bastion of trust for entire humanity to uplift itself from dark age of disinformation.

You cannot stop writing.

Do not expect your readers to leave their life responsibilities to spread you.

You do not need it.

Your readers are mainly hardworking people who toil to make ends meet.

You have led a silent revolution, beginning alone.

We readers want our old Captain back,who could tide any storm, singlehandedly.

We want our super confident leader who instilled pride in our hearts for our origins.

Stop this status quo.

We humans do not know, how much time is left in our lives with each passing breath.

Keep writing as always.

Give all that you can.....to humanity.




PratikOctober 29, 2019 at 12:55 PM
guruji, please return back.. lions never back down and we need you.. plz..



PratikOctober 30, 2019 at 8:36 PM
Guruji

I understand your pain beacause of the ungrateful readers who don't want to spread your messages and obtaining free ka maal. But please don't quit blogging for the sake of our future generations. Please guruji. If you don't reveal all nobody can till sun goes supernova. Nobody can do sphota thinking like you in future also I doubt. You are shining the light of truth in this ignorant , dark world. Please request you to come back.

Pranam.




C Prabhu  October 30, 2019 at 11:40 PM
Captain Sir,

Please come back, country needs you. Please reconsider your decision, reduce your activity on blogs if necessary, but please do not desert us.

Regards,
C Prabhu




Ramas October 31, 2019 at 1:55 PM
Come back to writing pls.
..if i may take the liberty, Krishna asked to do karma without caring for the results..
You are the most inspiring person in my life.
I am doing what you asked as per my abilities.




Krish November 4, 2019 at 4:16 AM
Captain

Good Morning, though I am not your son, but you will be inside my heart along with my father shining as my Guru


Respect
K




Anurag MalhotraNovember 6, 2019 at 10:06 PM
Dear Captain sahab, A teacher does not abandon his students, however nalaayak they are.
Please come back.



Unknown   November 6, 2019 at 10:41 PM
It is very painful and demoralizing Capt. Please come back.
Atleast say that you are fine and you are busy!!
Please do not be indifferent.

Regards
S




ABHIJIT M  November 9, 2019 at 12:26 PM
Guruji..Ram mandir verdict is in our favour..It was only possible because of your perserverance. Request to please come back! We all are missing you badly.

Jai Shri Ram




Jayasree Narayanan Pillay  November 9, 2019 at 3:21 PM
Guruji please come back - we need to celebrate the news of Ayodhya Verdict with you.





Suman  November 9, 2019 at 3:34 PM
Dear Captain,

Congratulations! Ram temple in Ayodhya. Your efforts have paid off.

Your readers love you Captain.

Suman




Satish Patil  November 9, 2019 at 5:09 PM
We are missing you in this historic win Capt Ajit Vadakayil.. You made us all proud of our Hindu Roots and to the watan

We want to celebrate this win with you

Jai Shri Ram🙏🙏




SangeethaNovember 11, 2019 at 8:38 AM
We miss you captain , in this moment of happiness of Ayodhya verdict. Hope you are well.

.



Amit Mittal   November 11, 2019 at 11:03 AM
Chettan

Pls return back.

You may feel that your readers are not following your instructions. But they are following the true knowledge received from your posts. They are no more SELF LOATHING Hindus. They are now proud Indians and Proud Hindus.

Pls resume yory blogging, it may not serve your purpose by giving comments in the newspaper websites.

Your mission is being spread by your readers in a stronger way.

Regards

Amit Mittal



Dearest Captain
Kindly let us know you are fine ...please

With gratitude
Dr. Veena




S  November 13, 2019 at 10:27 PM
Dear Capt,

We are in Bliss now!

We were so worried and in DEPRESSION!

I am speachless...

Thanks for you gratitude on us vigourless/spineless/worhtless fellows!

Regards,
S




HemaV
Namaste Sir
I guessed it right Sir.
When you mentioned "WATCH THIS SPACE.. I MAY BE RE-LIVING A TERRIBLE STORY." I guessed you were taking time out and I was reading your old blogs to keep up my spirit.Words are not enough to express the good you are showing.
Gratitude
Hema


.

Anonymous  November 14, 2019 at 11:04 PM
Respected Sir,

It is nice to see you back.
Thanking You
Sarada

.


Shailender Parmar  October 20, 2019 at 9:14 PM
Guruji Pranaam,

You can curse us , but dont leave us this way, i am very much attached to you, you have enlighten my life in every way, i have a family my more time goes there, whenever i get time i try to share your thoughts as much as possible....i request you to come back....


Charansparsh,

Shailender Parmar

.



Shailender Parmar  October 23, 2019 at 9:53 PM
Guruji Pranaam,

Where have you gone suddenly, we all need you , bharatmata needs you , we all request you to come to blog , celebrate DIWALI with us. 


Regards,

Shailender Parmar
.




DHARMAPADA   November 4, 2019 at 10:53 PM
Dear Ajit Sir,

Where are you?

Kindly Please get back and please atleast communicate over Comments section.

Please kindly get back.
Please communicate.
There was a time this blog was all in all, we were happy to communicate on comments section, we were at peace.

Ajit Sir,
Your response to us used to give us feel good factor.
At times you scolded us but that was still fine, we respect you!

Sometimes I wonder if your generosity was taken for granted.

Please kindly get back.
Do get back & resume the communication atleast.

Feeling very empty.

I think about you, I feel as if you have cast a natural spell, it is very empty a feeling coz I don't find readers communicating with you on comments section.
If I don't participate for discussion atleast I read what you have been responding to others.

Your silence has started haunting me, surely would be haunting others.

Please do resume your communication atleast.

We are morally down, mentally low without you.

Please get back Ajit Sir...!!!

Kindly do get back
.




krismohi  October 27, 2019 at 9:57 PM
Namasthe Captain!
Wishing you and your family a very Happy Deepavali.
Kindly forgive me for not spreading your messages as ideally as one should.
There are support systems in place for supporters/crudaders of Minority (left workers, islam and Christian enforcers/murderers etc etc) but none for SD fighters. Kamlesh Tiwari himself is an example. no one is there to take care of family and karma remains a strong barrier to cross with conviction.

I believe I see the devils signature.
As per my understanding from great teachers and your All revealing blog is, there are three elements only. Jiva, Iswara and Prakriti.
Any prakriti upasaka/upasana is against the real thing. any propping up of prakriti (moving interest towards mooladhara) like romancing life, romancing money at the cost of demeaning Iswara or Jiva on the process of Moksha is the current trend and possibly perennial distraction for Jiva trying to know Iswara.
any statement in any scripture on above lines will automatically mean unVeda...man made and in a way poison.
with current gatekeepers ready to kill nearly everyone not towing their line or towing Sanatana Dharma line, it is really difficult to show strength unless one is as good as you in both professional and personal strength (kalari) to defend against any opposing/harming force.
I am and will be doing my duty of establishing Dharma (on SD principles) as my strength allows.
Badly missing you not writing. Your presense is enough. kindly let the Sun of Social media shine bright and hope this phase is passing clouds only.
Namasthe,
Krishna

.



charishma  October 26, 2019 at 10:24 AM
https://www.thehindu.com/opinion/op-ed/putin-takes-centre-stage-in-syria/article29789785.ece

Putin has acknowledged your message that turkey is a seat of deep state.In deal over buffer zone he insisted for joint patrol of Russian forces with Turkish forces along the buffer zone...
Where is our chanakya who is assisting trump and putin in dealing with the deep state?

.



Rishi Kesariya   November 9, 2019 at 3:07 PM
Sir,

We Hindus have had our biggest victory since centuries. On this occasion please start blogging and come back sir.

Jai Jai Shree Ram!

Regards

.


Gol D VRM-A  March 25, 2020 at 10:56 PM
Hello captain,
I have hit a low in my life, i i really need your divine intervention,
Please let me complete my post graduate degree so that i can become eligible
I have been failed, i just seek one more chance to prove myself
Please let me complete it.
I seek thy blessings.
I know that during this time of epidemic it may sound absurd. Please let me complete my degree. I am now over 25, I'm extremely desperate to complete my degree captain, can't afford anymore failure, i have been a failure till this point.
Please help.
Regards
Goldy

.




MRM   April 18, 2019 at 6:16 PM
Dear Captain,

800 years of slavery has indeed influenced Indian DNA to some extent. The typical mindset of not reacting and standing up for WATAN, or be it for the immediate society circle where he lives is rare. This has become the muscle memory of millions.

How can something that is inflicted by 800 years can be removed in 8-10 years?

Russian defecter "Yuri Bezmenov" had mentioned in his interview (which you too have written in one of the blog) that it took them 15 to 20 years to demoralize American Society.

His words from his interview is eye catching and VERY TRUE.

"They are programmed to think and react to certain stimuli in a certain pattern. You can not change their mind even if you expose them to authentic information. Even if you prove that white is white and black is black, you still can not change the basic perception and the logic of behavior."

"A person who was demoralized is unable to assess true information. The facts tell nothing to him. Even if I shower him with information, with authentic proof, with documents, with pictures; even if I take him by force to the Soviet Union and show him [a] concentration camp, he will refuse to believe it, until he [receives] a kick in his fan-bottom. When a military boot crashes his balls then he will understand. But not before that. That's the [tragedy] of the situation of demoralization."

Same is with INDIANS.... A billion people is in this state of demoralization, showered with lies and twisted facts again and again right from the time when their education starts. How can this be changed in 5 to 10 year time frame. It is impossible.

YOUR BLOGS have indeed spread the seeds of change. This seeds will take years to germinate and full grow like a bamboo tree.

To rewire and moralize INDIANS it would take another 20- 25 years minimum so that a new generation whom are stronger, intelligent and moralized will emerge.

YOUR BLOGS ARE LIKE FIRST DRIZZLE OF RAIN IN A DESERT WHICH HAVEN'T HAD RAIN IN 800 YEARS.

YOUR BLOGS WILL SURELY MAKE BRING CHANGE - IT WILL JUST TAKE ITS OWN SWEET TIME

Please reconsider your decision. Please do not delete the invaluable information. THIS IS YOUR LEGACY WHICH YOU WILL BE LEAVING.

Let the future generation have the fate to read your blogs and flourish. They are the ones who is really going to bring change, not US the current generation. WE are the ones who can show them the path. for that PATH should be even there.... What you have currently decided is to clear the PATH you have created.... PLEASE RECONSIDER...





Unknown   April 18, 2019 at 6:31 PM
Sir I have been following your blog for many years. I tried to spread your word on social media platform. I was tempted to take your deekshas but my conscience told me that I had not contributed as I should have and refrained myself from using your golden numbers. Throughout these years your blogs have come as a source of transformation for me and people close to me.
It was cowardice on my part on not upholding your views on Quora. Though a bit late I have posted a small number of your questions asked by you. As the blog on questions is deleted I was unable to post more. Please forgive me.
I wholeheartedly request you not to stop blogging. We need you more than ever. You will always remain etched in our minds no matter how you decide to act in future. Your efforts have changed my life. Finding god with evidence through your blogs is still an overwhelming experience.
From issues on North Korea to underground water resources, you have brought positivity for mother earth. Your valuable time dedicated towards this blog can’t be expressed in words. It will be hard for mankind to find another person like you for centuries to come. Please don’t leave us.

.




Paadi  April 18, 2019 at 7:28 PM
Dear Captain, In your entire crusade against invisible and powerful force, comes in two parts.
1. First being to reveal the truth and give time to digest the facts. Most of your followers are youth who are in UNis or in the beginning of careers/life who have little time to act or bring any constructive change. The best they can do is to forward to certain authorities as you know they did and agencies ignored.
2. Then comes the real implementation, where we need an elaborate machinery. This machinery is available only when the youth occupy important positions in Govt and they can influence the decision making. Current officials who learn from official academics do not have confidence to push any of your radical ideas. The first and foremost thing to do is to revamp the education and skewed history. I think there are some people who are already working on such as Sanyal and Rajju but again there are some differences between you and them. You supported Modi during 2014 elections and and now also, you are also partly responsible for failures by Modi. We all know there is no good leader in any party and hence left with Modi. My point is that it is not right to blame readers when whole country is in the hands of selfish, greedy leaders. The changes are happening slowly, they attain pace only when the Youth entered the system.
Till that happens it is important to engage the youth with national/ancient pride. If you create a void, some other pretending guru will fill the gap, and undo the good whatever you have done so far. So please don't lose the touch..

.



Anonymous  April 18, 2019 at 7:34 PM
Respected Sir,
Please don't delete your blog posts which are oceans of knowledge and which are years of your hard work and dedication. Sir, I will be always grateful to you for the person I am today because of following your blogs.
Thanking You for everything





Karthik Sankaran  April 18, 2019 at 7:52 PM
Devotion has two stages - Worship and then Service.

This post has helped your worshippers mature to next level, Capt.

Sincerely wish your interpretation of Sanatana Dharma is immortalised in print/digital.

Congratulations to you and readers who fought for the Quora post to be taken down.




charishma nagam  April 18, 2019 at 8:18 PM
Guruji you resumed blogging......thank u so much guruji....lion is back......




IndianHinduTamilian  April 18, 2019 at 8:27 PM
Dear Captain,

Hope you are doing good.

This post and what you have written comes as a shocker and totally unexpected. I'm sure none of your readers would have expected that all this would come to an end so soon.

We are grateful for your invaluable contribution in bringing light to darkness and for guiding and awaking Indians from their deep slumber.

Despite many good ideas and repeated advice and warnings from your blog posts on matters of importance, Unfortunately the government and other institutions of power is not willing to listen or bring any positive changes in the existing system which is weak, corrupt and built on lies and deceit. Government and Institutions that were setup for and meant to serve the people are actually working against the interest of the people.

Many of your readers expected and hoped for major positive and progressive changes politically, bureaucratically, economically, constitutionally, historically, culturally and socially. But unfortunately none of that happened. Your blogs were intentionally ignored by powers that be.

Politicians and bureaucrats are well accustomed to the way things are and doesn't want to change the existing corrupt system of governance and they just won't care for the people or try to change the system when they can easily become filthy rich and their family can lead a comfortable life at the expense of the well being of the people or the development of the nation.

If Indians and those who rule India were not selfish, then we wouldn't have to still be talking about bringing good education, decent healthcare and good governance even after 72 years of independence.

If none of the government can bring about good changes and meet even the basic needs, wants and requirements of people like clean air, good drinking water, food, housing and shelter even after so many decades after independence, then there is no use in gaining independence or calling us an independent nation.

Unless there is a basic, fundamental and foundational change (which is highly unlikely to happen) in the way the government, institutions, bureaucrats, judiciary, media and people think, act and behave it is extremely difficult to bring about any positive change to the country and the society as a whole. People's in positions of power are just happy and satisfied with the way things are since they benefit a lot from this corrupt system as long as business are as usual.

Poor genes and slave mentality due to hundreds of years slavery has indeed ruined our way of life and thinking else the people would stand up for their rights and wouldn't be accepting these unjust rulers (pre and post independence) who does nothing for the people to rule us again and again.

It is very hard to disagree on what's rightly mentioned in the blog post like, Indians are selfish, ungrateful and self loathing. Yes, it is indeed very easy to convert indians into other religions or into traitors against their own motherland just by throwing a few pieces of silver. May be we just don't deserve 100% revelations in your blogs.

While ancient India was a super power and have had a glorious past (thanks to you captain for bringing light on these matters), only god knows how many centuries it will take for India to achieve that glorious past.

While your blogs are invaluable treasure which is like a powerful brahmastra, we are not sure if we even deserve this when we don't even know how to effectively and efficiently make use of this god's gift.

Captain, You know what to do with your blogs (past, present & future) and we will support whatever decisions you make.



.

Anil Kumar  April 18, 2019 at 11:31 PM
Dear Capt.your blogs are read all across the globe.Many heads of several nation's read ,peep,peak into your blogs but they cannot acknowledge that the original idea is first mooted by the one and only one Capt.vadakayil because of obvious reasons.Ypu need to patent original ideas because there is no free lunch in this world.Many chelas call you guruji and on other platforms they talk nonsense about you.i am reading your blogs since five years but I never came out openly due to professional compulsions for I am living outside India since 30 years in different countries.your readers can be classified broadly into three classes those who silent support your views like me since I can influence groups due to positions .second group your foot soldiers who like Jayashree ,muthu etc third is people who does double game .calling you guruji yet write nonsense on other platforms.I suggest that you stop the question answer session because many times these are layman semi illiterate kind and you take them seriously but they are half baked cookies.you don't know your value.before I start my day at 4 am i check the latest blogs of capt.the. I touch office mail.what you are doing is beyond the cerebral capacity of a normal human brain.Please patent sanatan Dharma series.Dont expect anything from any politicians just float our own party.To establish our rights that is the only way.I wish you to rest for a while and come back with much more vigour and vitality.Last November I was in India Calicut near sarovaram and my friends knew you so well but I did not dare to see you because you are an epitome of knowledge a true acharya a parivrajakan .we need to go miles before we sleep.Kerala has woken up ,Hindus started getting United the chingari of which is provided by you.




MZ  April 18, 2019 at 8:34 PM
Captain,


Please don't stop blogging, India needs you.



  1. Captain,
    On your quest to exhume truths, which is the first one that really shook you?
    Was it finding out about Gandhi ?
    Pranams
    1. YES

      I USED TO FIGHT FOR GANDHI

      ON 20/20 HINDSIGHT IT WAS ONLY BECAUSE WE SHARED THE SAME BIRTHDAY DATE 2ND OCT

      AT SCHOOL I SWEPT ART AND MODELLING COMPETITIONS,, BY USING GANDHIs FACE..

      http://ajitvadakayil.blogspot.com/2011/11/keenan-and-reuben-killed-for-protesting.html

      I SHOULD HAVE BEEN IN JAIL..

      I NEARLY BUST THE COLLAR BONES, EAR DRUMS AND STERNUMS OF THREE PICKLE JOHNS INSIDE A MOVIE THEATRE

bhuvan som  April 18, 2019 at 11:06 PM
Captain, I am suddenly seeing so much activity on Internet relating to your Blogsite. People are discussing your decision to discontinue and delete your blogs. Many Whatsapp groups have sprung up with messages pouring in from around the world all in solidarity with you and your agenda to save the planet and Bharatmata from traitors. People frantically trying to search and save and download your blogs, .. sending links to each other , particularly the Sanatan Dharm series …

I am seeing great curiosity in people of Hindi belt all trying to understand and relay your thoughts in their own capacity. I am personally involved in spreading your messages to Hindi speaking people for the past 4 years. My entire online activity (Facebook, Twitter) is devoted to this noble cause. Pranam.





mysticscience  April 19, 2019 at 12:40 PM
Dear Captain,

We love you for what you have done for us, you could have chose to lead a serene life after retirement with your happy family, but you sacrificed your time and spent a decade like a father moulding his children's future and showed us what is it to be Indians and what we are worth. I feel bad when you say we were not up to what you wanted us for, but I can certainly say things have changed after you started blogging whether anyone supports you or not, just that it's in its subtle state, given a little more time it will manifest in all forms. Honestly, whether one reads your blog or not people already are thinking in the directions you have made discussions in this blog, we have started realising the greatness of our religion and how we are misdirected ,its easily ascertainable for us, your readers, that the source of such stimulation has started from your blog. Now that we call it a Silent Revolution, start by the Great Captain Ajit Vadakayil. I'm glad I could get so far in your voyage. We trust you in every decision you take and would be with you. Thanks Captain, wish you and your family a very good health and all prosperity.

With Gratitude

Yours sincerely,

Manoj Kumar M





.
Vikhyat Singh  April 18, 2019 at 8:35 PM
THE HUMP WAS DESIGNED BY GOD FOR PULLING THE PLOUGH YOKE.

The simplest thing - in plain sight - and yet it requires a Captain Ajit Vadakayil to speak about it. I am a reader of this site for these gems. Things that really matter!




Amit  April 18, 2019 at 8:36 PM
We are getting organised and forming groups.please don't leave us.Give us one more chance.my gratitude.




katuvachan  April 18, 2019 at 9:07 PM
Dear Captain,
You are probably only hope for children of a lost civilization. We can understand your anger but still believe that you will not hold yourself responsible for our deep slumber as a race. You have probably been ordained by Lord Shiva to play a pivotal role in bringing the truth closure to us and shake us with vigour of such a degree that our hearts and eyes open up to see with clarity and welcome it. My humble request - please follow the teachings of lord Krishna and do not leave us alone and helpless in the great Mahabharta .




Unknown  April 18, 2019 at 10:22 PM
Dear Capt,

I have been blissed out today beacuse of you! Because, I saw some words from you in your blogsite..

I did vote!

I am preparing to be the man you would prefer to be on your Ship for a rough Sail!

I will sucseed!


Regards,
S




Naveen  April 18, 2019 at 10:28 PM
Dear Sir,

My apologizes for not being active, you are the only hope for a wounded civilization.

Please reconsider your decision in the overall humanities sack

Regards,
Naveen




jimihndrxguitar  April 18, 2019 at 10:35 PM
The following video is dedicated to 99% of the readers (myself included) of this blogsite:

In this clip yesteryear's cricketer Bishan Singh Bedi tells about the specific rootcause of all the problems in today's India.

The specific 'word' that he use is the one which I first time read on Captain's blog two years back. He can be heard saying that rootcause between 3:46 - 4:27

https://youtu.be/Jm_kwKPD2So




spaniard  April 18, 2019 at 11:53 PM
Dear Capt,
I always feel that you are sacrificing a lot of your personal time for the great good of humans as a whole. I was spreading your words for many years. I am indebted to you a lot, you have taken time to write a whole blog because of one of my questions.
But we don't deserve you. You need to spend time with the your family. Please paint and do what you like to do.
My gratitude to you sir




RN Murthy  April 19, 2019 at 12:00 AM
Dear jimihndrxguitar,
Thanks for highlighiting that Bedi clearly said in the video - 99% are fence-sitters in the world and in INDIA it's 99.99%...but this is going to change sooner, as soon as one of the electric pole hanging example which Capt shared would happen sooner in China...and happens in India similarly...everything will crumble...hope the Rothschild dogma of divide and rule crumble from Wayanad, Trivandrum to Amethi and Bengal...we will see the other example which Bedi gave in the video of what two things/qualities are needed in life to succeed... Junoon(pagalpan, craziness) to be followed immediately by Sukun(calmness, wholemess, peace)...wah re wah...Bedi took royalty with him !!!




Nishant Goyal  April 19, 2019 at 12:09 AM
Pranam guruji,

I just dreamed a golden dream so I want to share with you.

My dream is that three different generals of world's oldest and mighty indian army visited your home and asked you to lead this army.




Karthik  April 19, 2019 at 12:19 AM
Please don't! Our nation needs you!




SHEKHAR SHARMA  April 19, 2019 at 12:33 AM
Capt if u remembered correctly I also took your blessing and took a oath that I will be a part of your sikens revolution. And I am doing what I could do. Like posting questions on quora and sending mail and in last blogs you shared mail. I also sent mail but I am also doing job in IT field and I am not complaining. I am just saying please Captain from the deep heart we love you see you as an only shining light. If Bharma himself come and ask me 'you want mosksh' or 'well being of capt' I will choose 'well being of capt'. That is how much love and respect for you. Most of indians I think are very introvert and just lost in themselves. Those who are reading your blog are evolving slowly and we are doing as per our energy level. If we had slave mentality we still be slave but we took independence. We shall win capt. If you lost hope with us then I think you are denying the possibility of change.

Regards




bp  April 19, 2019 at 1:49 AM
Dear Captain,
I would like to meet you in person.




Paadi  April 19, 2019 at 1:50 AM
Captain,
In the following video Sanjay explains the future changes that the new Govt is goint to focus, both of these advises penned by you, it is on record, The Judicial Reforms and Police Reforms, I wish you be part of this team. The earlier achievements that gained up to 3 Lakh crores to the Govt by attacking Shell companies which were first exposed by you.

https://www.youtube.com/watch?v=7s6DQi0Azvo

I don't understand why Modi's Govt has not given you the credit and why they are ungrateful to you.




Unknown  April 19, 2019 at 9:05 AM
Sir,

I share your opinions. We are the most selfish race in the world. Unfortunately we are ruled by people who are more selfish than an average person, that is the reason for our degradation of our valued. There are very very selfless people like you who are trying to revive the lost values. If you give up now it would be wasted efforts, so consider it at as duty to post your views, one day your efforts would be rewarded.
You are a Karma Yogi.




Roshan  April 19, 2019 at 9:18 AM
Captain apologies if I have enraged you in any way. You may have your reasons to make this decision and to be sure there have been indications of this. For all the light that you have brought to our lives and the hope that you have given a whole score of people and a whole spectrum of generations pride and hope in all their past, present and future while setting the record straight so to speak i wish to thank you from the bottom of my hesrt. For this perhaps any token of verbal gratitude will never suffice. In the same vein while you may lambast your readers for perceived inaction on their part Im Sure they are all doing like I am their utmost bit to spread the message and your word on all media challenging as it is. People stuck in their ways for a long time after all are not exactly amenable to change. It is not that note that like almost all silent and not so silent readers here that I would urge you to reconsider your decision again as what you intended to do is a marathon and not a sprint. It is perhaps a little peripheral to che cause even what you may choose to delete because those words and their weight wil echo through time like ripples in a pond long after a stone disturbs the calm of its surface. The proof of your impact is in movies like the Tashkent files, the truth of which you revealed many years ago along with so many other what seems now like bald faced truths about the present poltical reality as well as the essence of certain cultural Norms and oravrices.




Pixar6  April 19, 2019 at 9:41 AM
Hi,

Everyone (or almost) knows, who started this first - about shell companies and many major reforms ( and many historical truths which were fudged), without which no one had any clue about how to admit it, forget about where to start.

Whether they give credit to Captain or not (which they should), Captain's hardwork has started - laying the foundations for the big transformation.

In the best interests of Captain and our country, whether they acknowledge Captain or not, it doesn't matter, the seeds of transformation has been planted, which was the key objective.

We all know where the revolutionary thoughts have originated and as sincere blog followers when we spread the blog & knowledge all credits would defintely go to Captain.

Grace & Peace,
JTA




charishma nagam  April 19, 2019 at 10:48 AM
Truth can be found only in this blog site captain.Revelations can be made only by you if not you no one can and no one will....and they will be buried forever.This blog site has such power and it will surely wake up world from its deep slumber.Dont leave us captain....

With love
Charishma




Milind Tamore  April 19, 2019 at 2:59 PM
Respected Captain,

It's been almost two years I am following your blogs. It's been amazing life changing experience for me. I absolutely agree with your views about Indians but I feel, we need to be more patient. Being Merchant Navy officer I could not contribute much as expected. Once tried to put your blog links on Govt. Officials emails. But there was no response. But I have been posting your valuable comments and blog links on Whatsapp and Facebook. Out of 100 may 4 to 5 will give response to it. Many of them complain of not understanding english.

Myself face similar issue back home as few of them not interested or don't want break their head and make life complicated. But I am always hopeful, one day they will agree. My approach is, I will not stop making everyone aware. It's up to a person how he takes it. I always say there are two ways to learn. Once learn yourself when situation is calm and under control and  act wisely. Other way is when our Ass is on fire i.e. to learn hard way. But one day truth will be out and will be shining bright, impossible to ignore any more.
Whenever on vacation, we gather in a group and have discussion about history, medicine, religion and various other topics. It's very difficult to get under their skin and make them aware. They lack very common sense and understanding. Most of them not aware about present also. But there is a set of people who just ignore, don't even try to give it a chance. One common thing I found, most of them busy in entertaining themselves and ignoring the present. It's very difficult to wake them up who pretending to be asleep.

I would like to share my experience.

I used to speak to my AB during morning watch almost everyday. He is Catholic from Kerla, but level headed. I started with history of Kerla which he himself was unaware. It took a while to get under his skin. I managed to make aware of Kerla culture, about his past. I managed to tell him eating Pork is as good as cannibalism. He eventually gave up eating pork and started spreading awareness. Similarly I successfully explained difference of A1 and A2 milk, Humped desi Cow. He pledged me to give up eating Beef and back home he plans to keep a Cow. We used to have session on Christianity as well. I was successful in conveying importance of Gratitude in our day to day life. But one day what he told me it shook my head. He himself went on to narrate malpractices within Christianity which I just had read and heard till now.

One thing I realized, having a dialogue and discussion We can bring change. I had to spend about 3 months and daily grilling which made him aware, changed his thought process. I never tried to break his Faith but was able to brainstorm him with new questions about his own religion. It's definitely slow process.

WE NEED TO BE PATIENT AND WE MUST KEEP TRYING.
WE INDIANS ARE NOT READY FOR TRUTHS. Today we are merely happy in living like a slave. EAT, DRINK AND BE MERRY has become our culture.

WHILE MAKING THEM AWARE, WE MUST GIVE THEM ALTERNATE OPTIONS WHERE THEY CAN HANG ON. THERE HAS TO BE A SYSTEM OR PROCESS WHERE THE VALUES OF SANATANA DHARMA ARE SUSTAINED AND BRING INTO LIFE WITHOUT RESISTANCE.

We respect your decision to quit blogging and deleting Sanatana Dharma series.
I cannot dictate you or even suggest you.

There must be something in your mind for sure. But I am very sure you will be back.

WHENEVER YOU DECIDE TO BE BACK YOU WILL BE EVEN STRONGER EVER AND THERE WILL BE A BIG BANG.




MRM  April 19, 2019 at 3:18 PM
Who is Captain Ajit Vadakayil? - Quora is the TOP MOST LINK if you type "Vadakayil" and hit enter key in Google




Ratna  April 19, 2019 at 3:28 PM
Sir, Do not leave please. I have posted on quora anonymously as it keeps on deleting the queries. It's long way fighting the traitors within than outside. Please do not get disheartened, you have started the silent resolution which has influenced me. I rarely comment on your blog, however, we have started on working towards protecting Indian desi cows in our own small way. I may not be able to make huge impact the way you are doing. But definitely contributing in spreading your message in my circle and making sure our next generation understands what great heritage we belong to. Need your guidance through out as we are just coming our of our myopic view.





Ratna  April 19, 2019 at 3:38 PM
I was out on business travel and was happy to be back India right on time for voting, saw your latest blog on bidding adieu, this completely took my joy away be back here. I am committing myself to you to make positive impact to our country, that is a PROMISE, I will definitely do it and already working towards it. This takes time to come out of slavery as generations of slavery has made us impotent but you have made us realized what we are worth. Please do not abandon!!




Subhash Rao  April 19, 2019 at 5:27 PM
Dear Cap'n,

I fail to see how the logical outcome of your Swadhyaya can be that us readers are indifferent or fence sitters, considering your profile view count of ~914 million.
I can understand that a 'call to arms' is not taking effect as desired (that might require a different,drastic approach), my understanding is that this is a 'grounds-up' movement and I have earned my battle stripes simply based on the fact that I'm referred to 'Mr. Israel' by my circle of colleagues/friends.
I have enough street creds (Iranian S.Korean, Italian brother in laws + international travels) to hold our own & in many matters like attraction(genome call), body language & speed reading - I fully aligned with your thoughts.

From eavesdropping conversation in bars to experiencing other eavesdropping my conversation(based on your blogs) & being complimented on the entire thought process (credit goes to you), I simply have to conclude that the ground reality is that there is massive change in mind-set among common Indian folks, but they lack skills in terms of articulation & fruitful, conclusive dialogue.

You being you, I'm sure there's a method to the madness in everything you do, the first question I asked myself is whether I can retain, replicate & propagate the contents of your Sanatana Dharma blogs...I'm essence I could, but in the details (haven't found anyone who has pushed me deep enough), I couldn't.

So request you to please restore those blogs. After every fortunate night of REM sleep, I can glean more from them.

Lastly, I am honest enough to admit that my personal victory is when I can educate my son & daughter about subjective thinking & bring trust on the 'sabda' part of epistemology.

Rest is up to you. Gratitude always.

Regards,
Adoor Subhash Rao




S R Arvind  April 19, 2019 at 5:34 PM
Dear Team,

It is very infortunate to see your getting down inspute of knowing how as Indians mindset work. I never thought even Captain would also be pulled down leaving us. I might not have actively participated whenever you had asked for but I did one thing which I always do is to spread the knowledge, truth and the ancient glory of our country and made their cage rattle. Please do not stop sharing your knowledge for your good intentions will be resounded in many invisible ways like how world leaders without acknowledging your work, knowledge, information they are trying to fight the injustice. Not sure if I would get an reply or this being published but I am hoping you would read it atleast. God bless you and your family. Jai Hind!




Ashok kumar vyas  April 19, 2019 at 5:53 PM
Pranaam captain sir in now days I am said to see this news that you are leaving bloging sit and you are removing your blog.
I am not your regular reader yet I am read your new and old blog when I have time because I am bussy in office. When I hear that news then I have downloaded your maximum blog.
My English is so poor but yet I trying to understand your blog in english.
I want to say that this nation is needs you and this dharm are also needs you and all have needs you so please don't leave write the blogging today I am here due to bhuvan som Ji and also my interest to reading history because of my respected late rajiv dixit ji. Today he not in this world so this nation wsns your help for save our country and our Vedic dharm. I know that how to write here in a good language yet I am trying to write best here.
I have been create a wgats group with many your many readers and I am spreading all your blog's in both Hindi and english. Many Hindi bhashi wants to know about your blog. And now I want translate your whole blog. So may you give me your bless.




A2Z  April 19, 2019 at 6:43 PM
Captainji, please don't stop blogging.
Your regular readers come here for gaining & sharing knowledge & expanding their mental horizons. Please don't stop due to the selfish ones.

I myself have tweeted several hundreds of your screenshots. Just once, I tweeted your bloglink & my A/C got suspended from twitter, which is still suspended.

Just see what happened to David Irving.
We are living in a world where lies/liars are appreciated & truth/truthers are ridiculed.

I also have a gut feeling that after praising India(ns) for so long, you are doing a back swing by revealing some naked truth about Indians. My father always uses the term 'bloody Indians' because of our selfish,servile nature. He often refers to 'Sholay' movie as to how 3 goons were looting the whole village with ease.

Another thing, he says that Indians-bahut jaldi khush ho jate hain jab bhi koi videshi thodi si tareef kar de hamari (get happy instantly whenever any foreigner praises India slightly). Maybe its a character flaw.

If you are criticising all Indians for their character, I think you are right else we wont be slaves for 800 years.
But please remember that 2 WWs were fought due to traitors like Hitler, Wilhelm Canaris, Churchill who slaughtered humanity just to fulfill a specific cabal's demands. So traitors are everywhere, not just India; we just have to be aware of our past & make amends.

Please dont stop blogging, it will not help Bharatmata.




hm0  April 19, 2019 at 6:44 PM
Dear Captain,
Apologize for not participating in all the campaigns but have posted on both Twitter and Quora several times.
I can’t put in words how grateful I am to you and your blog. You have already created a silent revolution.
I really think what you have written will remain until sun goes supernova.
IMO, A blog site getting close to 1 billions views is equivalent of a YouTube video getting trillions of views.
We are expecting a baby next month and I will instill dharmic values and make him proud of his Indian heritage.
I understand your frustration, please please reconsider your decision.
Regards,
Hari




Saurin Purohit  April 19, 2019 at 8:36 PM
Capt...I have several times participated in your campaigns....except the one in Quora where you were hit below the belt and it was too sad/slimy of remark (he will pay for it someday)....

- Other part is that I have several times shared your truth revealing blogs to many of my friends but nobody cares...I lost a few good friends in doing so..but so be it...it revealed some things that made me strong.

- Forever indebted to bringing new avenues in the "thought process". Unparalleled and unmatched.
Please keep up this noble work you have undertaken.

Love to you, your family and Bharatmata...
_Saurin




Anil Kumar  April 19, 2019 at 8:46 PM
Dear Capt.Brahman knows everything.Rajiv Sahni will be punished in true bihari style .




Arrow  April 19, 2019 at 8:49 PM
Sir
Kindly restore the Sanathana Dharma Blog posts back.
Reconsider your decision.




CPV Kumar  April 19, 2019 at 9:04 PM
Good evening Sir, Only god can save quora CEO if he visits our nation. Today I will have beer sir.




Manju  April 19, 2019 at 9:09 PM
Dear all,
I was wondering the best way i can focus my contribution for a positive change for future generation, given my constraints. I have deceided that I will spend most of my non-work hours in learning, preserving (for future generation) and sharing saamaveda (one of the four vedas dealing with shabda brahman). Ajitji's sanathana dharma series has provided me with great insight/good start. I had started my journey few years ago in learning vedas. I am on my way. You can count on me to preserve saamaveda (what is left..as of now). I need help from my brothers and sisters to shoulder other good work (social media, farming, medicine). hopefully together we can do something good for future generation.
dhanyosmi
Manju


.


kopzilla  April 19, 2019 at 9:12 PM
please ajit sir....i humbly beg you at your feet.

please don't leave us like this...this blogsite has been the only hope when a few years ago i was thinking about suicide.

please take a break and blog sparingly but please dont delete your posts!!




truthunveiled  April 19, 2019 at 9:30 PM
Please don't leave. If not you, who else?. I always share your blogs and try to spread your phenomenal blogs. I have reported answers against you in Quora. I will definitely do it more in future. Please don't stop. I guess you need to take some break, please do come back.




lc  April 19, 2019 at 10:47 PM
Captain, with your revelations, self loathing Hindus are changing. I believe in coming years you will see more people proactively spreading the information from your website and supporting and working with each other in bringing down the lies spread by ROTHSCHILD STOOGES.Hence, kindly dont delete your blog and leave us now. Kindly give us another chance. I have been posting on youtube, facebook etc Will definitely be more active and spread the knowledge you have shared on your blogs.




A Tiwari  April 19, 2019 at 10:50 PM
Dear Sir, Very glad to see you at least partially … please do not be angry with us … if you want us to follow down to each full stop we will do it .. even though it means spending double the time making quora ( I had left it completely except for downvoting all the bad comments for you ) comments if it means you are not angry but do not leave us devoid of your gyan .. I also promise to spend 1 hr each night to understand what you write however tired I am … just as if I am working for an exam … even though I am barely lcm ...so please come back with full flow … regards




A Tiwari  April 19, 2019 at 10:51 PM
But sir you do have to believe that the rest of the things that we are saying we are doing to the best of our abilities .. at the cost of friendships and reputation .. I swear … in my words I have been doing it fully with people left right and centre .. will be even more vociferous if you want … but you cannot doubt me please




Rhushi  April 20, 2019 at 12:17 AM
Captain ji
Your readers loves you, as we can see in comments box and there genuine appeals to you for continuing your blogging.


So please don’t stop the blogging. Its a kind request to you.


🙏Om Namo Shivay.🙏




E T  April 20, 2019 at 1:08 AM
Sir Ji if your blogs are painting then a picture is worth thousand words but yours is even more a million trillion words. Don't know what you think but Google Facebook Twitter Ministers Babus at PMO are all against your readers all we have is power of intentions





Susheelkbh  April 20, 2019 at 3:34 AM
Namaskar Captain,

I've been reading your blog since last five years and am not feeling good since the time you chose to bid adieu to people who value you the most or at least peek into your blogs for information or self improvement. I stumbled upon your post during the time of my life when I was looking for credible answers to my inner quest to know ancient Hindu culture and customs. Your blogs validated my understanding of things to a large extent and also helped me learn many things that i had never heard or experienced before. I wish to express my heartfelt gratitude to you at a time when i'm not even sure if you will resume your blogs though i sincerely hope you do so at the earliest.
We need your vast knowledge for the betterment of future generations. What did you expect from a generation of people that lived most of their lives in awe of everything foreign? Our kids are conditioned during the initial years of their lives through westernized education system. Our parents are only following customs/rituals for the sake of it with no knowledge of the reason behind these customs. Our next generation will continue to remain in awe of everything foreign unless there is knowledge and awareness regarding Hindu way of life which only we can teach them provided we are qualified enough to do so. Although I am positive that nature will find a way to make it happen sooner or later as it is an eternal cycle of creation and destruction but if God has chosen you to be the driving force behind the change why are you acting like Arjuna who dropped his weapons on battle field because of attachment. Your reasons may be different but the fact is you are leaving behind vast number of followers who will dilute what they learnt from your blogs and spread false knowledge which will be even more dangerous. You have been blessed with vast knowledge that nobody can fathom and we have had the opportunity to learn whatever we could till your Sanatan Dharma series was available for which we will be grateful to you for the rest of our lives.

Civilizations thrive only to perish and then rise again in some other form in some other time. Sometimes we tend to forget that nothing will last forever and nothing belongs to anyone.

Stay happy, stay healthy!!





A Tiwari  April 20, 2019 at 3:50 AM
Sir spent a lot of time till now reading , absorbing as promised … as promised working on it instead of merely regurgitating … plan to finish a bulk with full intention as taught by you this weekend .. also filling the gaps in my personal life that are not in resonance with what is right .. apart from that dissonance is mostly due to the extreme crap that liberalism gives out and which pervades all walks of life particularly the top echelons wherever I can see … but the fight will go on … now signing off for today as the head swims




dineshkumar kanesan  April 20, 2019 at 3:59 AM
capt, pls give us comments to spread




Vin  April 20, 2019 at 7:11 AM
Dear Mr. Ajit,

1. If you delete your blogs then how can I tell people in person or in chat group to refer your excellent insight on any matter ?

2. How can I get your perspective in matters, about which you have written ?

3. I know lot of mental work drains one out and some break is a must to rejuvenate. Take that much needed break , but don't delete any of your blogs.

4. I ,since childhood, was very much aware about Ancient and Glorious past of India and Scientific basis of Hindu culture. But, I understood it in much better way after reading your blogs.

Like, I had heard in childhood that chanting of Om or Sanskrit matra should be done while in seating in padmasana pose only, like how ancient rishis used to seat. But, after reading your blogs undestood that it's sign of infinite and it creates waves. And, waves, sound and hence quantum physics is the root understanding of Sanatana Dharma.

5. You have quenched my thirst of understanding my Sanatana Dharma at the deepest level. I want the same understanding to develop in other people. And if you delete your blogs, how can other people be awakened ?

Whenever possible, I give your blogs reference to people to understand world intrigues.

Take a break , but don't delete any of your blogs or leave us half way. Awakened mind brings change in life.




charishma   April 20, 2019 at 7:34 AM
Gutuji,
Have alook at the post below:
https://www.thehindu.com/news/national/ganga-has-higher-proportion-of-antibacterial-agents-study/article26890979.ece
the above things has been revealed by this blogsite years before even the research commenced.They reproduced the same whatever you said in the link below:
http://ajitvadakayil.blogspot.com/2014/06/ganga-manthan-cleaning-of-river-ganges.html
CAPTAIN THIS BLOGSITE IS WORTH MILLION TIMES MORE THAN ALL THE RESEARCH AND SCIENTIFIC INSTITUTIONS COMBINED.WE CANNOT AFFORD TO LOSE YOU AND YOUR BLOGSITE.

with lots of love

charishma



AFTER THE CRYING BOLLYWOOD SUPERSTAR SUED ME FOR DEFAMATION ( AND FOR FINANCIAL LOSS FOR THE TV SHOW PRODUCER -- JOINT SIGNATURE ) ,   CAUSED BY SHUTTING DOWN “SATYAMEVA JAYATE” HIGHEST TRP SHOW, SPONSORED BY ROTHSCHILDs AXIS BANK--

--A TOP POLICE OFFICE ( MUMBAI ) ADVISED ME –  

CAPTAIN ENJOY YOUR RETIRED LIFE WITH YOUR FAMILY ..  WHY PUT YOUR NECK ON THE CHOPPING BLOCK EVERY HOUR OF THE DAY..

THIS MAN WAS MY WELL WISHER .. IT WAS NOT A THREAT..    


HE KNEW I WAS DOING IT FOR BHARATMATA..NOT FOR PERSONAL FAME OR MONEY..



bhuvan som  April 20, 2019 at 1:10 PM
Captain Vadakayil has already triggered a Silent Revolution. He is a master of Change Management. The domino effect will be seen very soon. He has lit the fire of knowledge , the heat is being felt all over and it will soon consume all the traitors to mankind . The process set in by him is gathering momentum and it is unstoppable now … all the beggars posing as emperors will be disrobed naked.

So, little to rejoice for the traitors (like Raziman TV and Rajiv Sahni) .. even if he stops blogging .. they cannot now convert daylight into darkness.




Shriram hegdeApril 20, 2019 at 4:31 PM
Posted screenshot of the profile view count in the morning and imagine quora banned my account immediately.

https://twitter.com/hegdesram/status/1119554633893064704
https://twitter.com/hegdesram/status/1119554162549772288
https://twitter.com/hegdesram/status/1119551045078802433




bhuvan som  April 20, 2019 at 9:45 PM
After my above answer to Quora, I got the following notif:

Q You have been temporarily blocked from editing.

Comment: Repeated policy violations. See: How do I appeal a Quora Moderation decision? 8h


So, you read it Quora. That's enough.






Capt. Ajit Vadakayil  April 21, 2019 at 6:43 AM
ALL OVER MEDIA ,THE KOSHER DEEP STATE IS AIRING THE "EARTH DAY VIDEO"..

22ND APRIL IS EARTH DAY..

THIS VIDEO IS A ANIMATION, WITH ALL MAJOR HOLLYWOOD STARS AS ANIMALS ..FOR EXAMPLE LESBIAN MILEY RAY CYRUS ( WHO USES A STRAP ON DILDO ON STAGE ) IS A ELEPHANT..


THIS VIDEO IS TO LIE THAT GLOBAL WARMING IS DUE TO CARBON DIOXIDE- TO MAKE INDIA MOTHBALL OUR ENORMOUS RESERVES OF COAL..

ALREADY KOSHER BIG BROTHER HAS HARNESSED PM MODI , AND PLACED HIM ON KOSHER CHANNE KA JHAAAD.. MODI IS NOW "CHAMPION OF EARTH"..

MIND YOU-- GUJJU NO 2 MODI IS THE FELLOW WHO WROTE A BOOK ON CLIMATE CHANGE AND CARRIED THE FAKE AGENDA OF PARIS COP21 ON HIS GUJARATI HEAD..

MODI GOT SPONTANEOUS KNOWLEDGE FROM AAKASHA..    AFTER SAILING THIS PLANET FOR 40 YEARS , I HAVE NOT GOT SUCH DEADLY KNOWLEDGE..

EVEN AT KATOWICE ( POLAND ), KOSHER  BIG BROTHER SHOVED METHANE AND NITROUS OXIDE UNDER THE KOSHER PLANET..SO THAT JEWS CAN MAKE MONEY OUT OF THIN AIR BY CARBON TAXES..

EVEN TODAY, ROTHSCHILDs MEDIA PUTS FOG ON WHY THERE IS A YELLOW VEST PROTEST IN PARIS.. IT IS ABOUT JEWS COLLECTING MONEY BY CARBON TAXES..

AND MIND YOU, THIS PLANETs MOST POTENT GREENHOUSE GAS DOES NOT EVEN HAVE CARBON IN ITS FORMULA..

I HAVE BEEN FIGHTING A LONE BATTLE AGAINST THE LIE OF GREENHOUSE GASES..

NOW I HAVE TO PUT BACK THREE CRUCIAL BLOG POSTS I DELETED..





I AM FILLED WITH A SENSE OF WONDER..

ARE THERE NO INTELLIGENT MEN ON THE PLANET?

I HAVE ALWAYS FOUGHT AGAINST THE HOWLING MOB -- ALONE-- AND WON..

I WILL WIN THIS FIGHT TOO.

AT KATOWICE TRUMP AND PUTIN ( WHO READS MY BLOGS ) TOLD KOSHER BIG BROTHER TO FUCK OFF..

MIND YOU MODI WAS ON THE SIDE OF ROTHSCHILD..MODI IGNORES MY POSTS AS I DONT GIVE HIM THE EGO MASSAGE HE CRAVES FOR..

HEY GUJJU NO 2 MODI-- YOU WILL NEVER GET IT.. I HAVE NOT REACHED THIS FAR IN LIFE BY GIVING EGO MASSAGES..


NOW -- I AM MAKING A DECISION..

I AM COMING BACK TO THE WORLD OF BLOGGING.. THANKS TO MY READERS WHO HELPED ME CHANGE MY MIND..

I CANT WIN THIS FIGHT WITHOUT MY READERS...

WATCH THE VIDEO.. CAPT AJIT VADAKAYIL WILL NOT ALLOW HOLLYWOOD LIES TO HIJACK THIS PLANET..

capt ajit vadakayil

..



UnknownApril 20, 2019 at 8:46 AM
Dear guruji,
I would like to give you the only thing I truly have: the fundamental source of my awareness- my heartbeat to you. Your posts resonates with my heartbeat at a level even more fundamental than instincts.Your words have the power to turn up the intensity of my heartbeat. my ego puts up the resistance that prevents access of the external reality to my heart. However my heart got ripped when i felt your pain. the discordant vibrations of that rip is tearing my ego to shreds. I am experiencing something I cannot describe. my consciousness is getting more and more connected with your words with a focus that I have not experienced before.I sincerely thank you for letting me experience this. I do not deserve to ask for help, but I seek your help to transform from a sinkhole mudpool that I am into something more alive, responsive and a giver to the world around me.
Aravind



Dipesh AgarwalApril 20, 2019 at 11:23 AM
Dear Capt,

I with heavy heart offer my apologies of not being active.
I was blocked by twitter and quora for supporting you. I was very much busy with my job and study and still was able to do whatever I could.
I will surely be grateful to you for instead of enjoying your retirement you devoted your time on us Indian, we have surely let you down.
I am always going to include you and your family in my prayers to God for introducing Reiki in my Life.

Forever Gratefull.


Dipesh AgarwalApril 20, 2019 at 11:30 AM
https://www.quora.com/Does-Quora-automatically-delete-a-question-if-it-mentions-Captain-Ajit-Vadakayil

My Answer.

Dear Quora,

Why are u frightened with an honest Indian voice. I have in past encountered this wherein your admin had deleted the question pertaining to Capt.

Please note we may be a banana republic as per you but we are surely after you. You may soon have to face music for giving platform to Jihadist who are passing misogynistic comments against Capt and his family.


SushantApril 20, 2019 at 12:31 PM
Dear Captain,
It's disheartening to see you lose faith in your readers.
There's no point depending on some one else to change as it completely relies on his upbringing.
I decided long back that I will follow your model of change which is at the subconscious level. Hence I am working closely with my students and making them aware of the truth.
I am making them think in a particular way which will eventually lead them to the truth.One more thing about your blog. An average person on theg ground is actually unaware of your blog or Is way to busy in earning his daily bread to read your blogs or care about bringing any change.
I went to Ahemdabad and honestly found no one aware of it (whoever I met)
We can definitely extrapolate about the on ground situation
There is definitely change happening but it may not happen so quick as we are expecting but it's happening.
There'a also a possibility that instead of fighting these opinions people may start considering them so petty that they may begin to ignore just like how an elephant ignores a barking dog
But the same pride will not think twice before lifting the sword when push comes, to shove.
This needs self pride which your blogs are doing.
Quora phora bohot chote hai - We mustn't fall to their level (imho)
You may feel I am being selfish but trust me there's no point raising someone out of the mud when he/she doesn't want to.
My students are live example of the changing mindset which we envision for our future.
Thank you once again for you have raised me from my slumber and I will forever continue on your path.
Grateful reader from Day 1.


Harjeet Singh Randhawa  April 20, 2019 at 3:49 PM
Captain. They are not only anti Modi, but grave situation is that these bastards are anti india. We can tolerate if only they are anti modi but by being anti india these bastards need to be punished severely. Enough of independence of the press. They cannot vomit venom against the watan in the name of free speech and freedom of press.


KARNA  April 20, 2019 at 1:59 PM
Namaste sir

please reconsider your decision to stop blogging. if you become dejected and stop like this then what will happen to all of us? .You have promised to bring revolution and make india regain its past glory so please dont go back on ur promise.

being one of your oldest readers i have faithfully followed ur instructions to do blitzkrieg and restarted a group in facebook and whatsapp to spread your posts and comments . as you know i have been preparing for civil services exam so i kept a low profile and focusing more on my studies . But i promise u captain that as soon i clear it i will get back to my form .

sir i have a suggestion for you . please ignore your detractors who are purposefully writing all kinds of shit to instigate you . they are testing your patience . It is better not to waste your valuable time and energy on these low level persons . They will be maha impressed by this decision of yours .

I pray to god to give you strength and change your mind to stop blogging.

Thank you very much for all that you have taught us .I hope you will return to writing again.




Desai RB  April 20, 2019 at 2:40 PM
Do not quit sir
I convince people in my style of expertise. Even during thirunelli visit spread to many locals enroute & also people in * calicut hotel.

Raghavendra Desai




Bharath Shankar  April 20, 2019 at 3:31 PM
Dear Sir

It is utter shame that your blog has been deliberately not shown in the Google search results by the puppetmasters at Google.

I regularly come to the comment sections to understand your take on everyday issues. And reading the latest blog of yours I am sad because of your decision.

Though I have not read every blogpost of you sir, I definitely share your blogs and knowledge with those I feel are worthy of this knowledge.

And many I know have came to know about the NWO and all the dirty game behind the screen, through your blogs.

You have definitely transformed many people. You have definitely given me invaluable knowledge through your amazing blogs.

Quora and those who have shown disrespect, will have to face their fate soon.

I pray that your blog continue, atleat in a small manner, so that this knowledge may inspire people for eons to come.

I pray that you and your family have a healthy, happy, peaceful and long life.

Thanking You

Bharath Shankar




Harjeet Singh Randhawa  April 20, 2019 at 4:26 PM
Captain. We need you as our modern day chaanakya. As you said chaanakya stepped down as professor of the university to save the motherland, you yourself if stop blogging then please come on the ground politics to save the watan. We want you as our mentor and leader either on the internet or on the ground. But we all need you badly. Please captain. Don't abandon your ship.




Sriram  April 20, 2019 at 5:21 PM
Dear Captain Ajit Sir,

Pranams Sir.

I first saw your blogs a few years back and was hooked. Apologies for not connecting to you through the comments sections.Kindly accept my sincere aplogies for the same. I assure you that I will be in regular touch with you going forward (even if I happen to be the only person writing to you and supporting you).

However, I have written a lot of mails to PMO highlighting a lot of issues that you had brought up/highlighted. I have also discussed a lot of issues that you had mentioned to my friends/relatives and many are now more aware.

You are a true Karma-Yogi.You have been selfless in making us more aware. The world is waking up. There is a silent revolution happening. Your efforts will not go in vain.

Kindly do not give up blogging. Please blog whenever you are able to do so. However, completely cutting yourself away from us will only make the forces of evil more stronger.

We need forces of good on our side and you are "OUR CAPTAIN" leading from the front.

Please reconsider your decision.

With Humble Pranams,

Sriram




Prashant  April 11, 2020 at 7:30 PM
pranaam captain,

spread your comment regarding sanatana dharma and nonsense by wikipedia

you have written about dharma, science, explaining linkages of quantum physics related to dharma.
however, most babas not matter how famous, with may be very few exceptions have ever challenged existing political, bureaucratic, judicial setup and have courage to openly criticize elected leaders as well as non-elected melords in the strictest words.
would acharya chanakya allow himself to be restricted to only rituals and sermons while leaving other crucial karma to degree holding award holding fake intellectuals.

what you have written about sanatan dharma is and that too at LCD as well as HCD levels is ultimate captain. we would not have such an advantage of the internet age if captain ajit vadakayil had not penned so much.




Paadi  April 20, 2019 at 8:25 PM
Dear Captain,

I slept over for few nights over the reasons for Indian Govt. not to implement or acknowledge most of your revealing and I received these flashes in through my SC mind, it may not be totally wrong. PM in a democratic country cannot force anything but ask his ministries to review and comment.
1. Post independence Indian Govt and bureaucracy occupied with 50% of Dalit, converted Christians who are loyal to Church/Rome than India. In several online forums and offline discussions, they often agree that they indulge in corruption to catch up with years of suppression by Brahmins to become wealthier. This is in addition to main Italian opposition. This lot has been brainwashed extensively by great personalities as well as some of the prominent divisive forces that they were persecuted in ancient brahminical India. I know you have shown them Vedic and ancient scripture proof/verses debunking such any such discrimination. This lot don't want to identify themselves with ancient Hindu pride for the same reason, in addition they attack whenever any person talks about or support such past glory. They conveniently forgot their ancient Hindu lineage under the current wealth they are enjoying. The roads are well laid out for these people by British academia by burying the ancient Hindu stalwarts such as Chanakya, Krishna Devaraya, Marthanda varma, Sathavahans, Chola’s, Pandya’s etc.
Dalits and Christians don't want to go past Dr. Ambedkar who unfortunately paved the way for this biased thinking. One the other hand Muslims are comfortable to identify themselves with desert Arabian sect and their barbaric Muslim kings rather than their Hindu lineage from their great grand fathers. Indian Muslims are bit sensible due to the fact they safeguarded their DNA pool without corruption due to stricter social norms in their society.
If we have such a large population living in India and oppose any of our great past, how can you teach HONOR to these people. The loyal Hindus who bore the brunt in 800 years of slavery are not even receiving the equal social justice now. They are incapable of fighting for equal rights/platform in modern India rather running away from India and migrating to other countries. Though your pain is real, the solution is not in the vicinity. STRENGTH AND HONOR comes from great culture, society, family etc. Very few families retain such values sacrificing the incentives/lure. They are just meeting their minimum dharmic demand such as continuing the creation and passing on their gene pool to their offspring. This dormant group will not come out to rescue till they resurrect themselves financially. One cannot fight with hunger.
2. Unless you connect these separated masses to their ancient past, this job is difficult for simple fact that these people occupied important positions in all branches of Governance albeit with Hindu names. Incidentally these people carry more enmity than foreign national such as whites or even Arabs. This enemy within is causing a more road block than outside world in your crusade.
These are just my thoughts only…
Regards…




Paadi  April 20, 2019 at 10:56 PM
Very very sad Captain. I only wish and pray that your anger subside and shower your love on the poor Indian people.

The above are not accessible form outside India. I believe your foreign readership deserve this material, please rethink.




Aiswarya r  April 20, 2019 at 11:34 PM
Respected Sir,

Iam no one to tell you . But please consider this humble opinion

Most of your readers are below 35 years, are fighting to get some good career and settle , also fighting this bad people require money, will , knowledge courage ... Ur blogs are amazing resources for knowledge. But making if practical needs time , sir.

Also most of us are cornered due to our opinions, please ignore these deep state tools, I know iam beeing selfish , sir , but the middle and lower class are struggling and they are satisfied with some bribe of politicians and automatically becomes materialistic.also their minds are corrupted. We are few Lucky people here but what to do?

Please don't be angry sir
Hope u ll reconsider
But iam so thankful for being able to read ur blogs.

Only hope is god now

Thankyou sir.




Bhaskar  April 11, 2020 at 7:57 PM
Dear Captain
Thank you so much for your guidance over the years. I have learned a lot from your blogs about life and glory of ancient India. Kindly request you to continue your selfless service to humanity and Bharatmata Gratitude🙏
Bhaskar





ashuuu  April 21, 2019 at 12:16 AM
captain you are a new world order hero just like julian assange




Capt. Ajit Vadakayil  April 21, 2019 at 12:21 AM
https://www.thenational.ae/uae/heritage/foundation-stone-for-uae-s-first-traditional-hindu-temple-to-be-laid-on-saturday-1.850936

FAKE HINDU TEMPLE

FAKE HINDU PRIESTS

GHANSHYAM PANDE WAS CONVERTED TO GOD BY JEW ROTHSCHILD..

THIS FELLOW IS GOD FOR DIAMOND LOBBY INDIAN GUJARATI/ PALANPURI/ MARWARI JEWS..

THESE INDIAN DIAMOND TRADING ANTWERP JEWS ( EXAMPLE-NIRAV MODI ) DO SECRET BUSINESS INSIDE THE TEMPLE ..

capt ajit vadakayil
..




Sakthikumar April 21, 2019 at 2:27 AM
Dear Captain,

You are an immense source of knowledge and you are a true Guru to many of us.

Please don't quit.

Thanks a lot for your great service. We request you not to quit and abandon us.

Thanks,
Sakthi




MRM  April 21, 2019 at 9:00 AM
Thanks Captain... I am humble to know that you have considered our request and accepted them.

Do write until you reach your 100% revelations. The world needs YOU.

with regards




mysticscience  April 21, 2019 at 10:25 AM
Thank you Sir filled with tears




Soujanya V  April 22, 2019 at 3:29 AM
Thank you sir for considering and returning.

BTW UAE is building a swami narayan temple which they are calling a "Hindu Temple" and some sheikhs have come to inaugurate the event, I really dunno what we are supposed to do with all that https://www.thenational.ae/uae/heritage/foundation-stone-for-uae-s-first-traditional-hindu-temple-to-be-laid-on-saturday-1.850936?fbclid=IwAR0P6HyjeHWzucscpKW-VRhS3EFqoJRJ2CfPviv-vBivLheAYC-Vhsd4peU




ramakrishna  April 21, 2019 at 7:19 AM
You are Captain --Be a MAN AND AN UTTAMAPURUSHA WHO NEVER GIVE UP




ramakrishna  April 21, 2019 at 7:27 AM
bartru hari had delineated the qualities of an uttama purusha you too preached please follow your preachings even if the present is bleak be sure that in future people will realize the value of your blogs sodo not give up or dellete duty bound do not think of result




Paadi  April 21, 2019 at 8:32 AM
Thank you very much Captain. I know you cannot sit home seeing the mediocre command the globe. You are born to tear these selfish, greedy, corrupt and all powerful people. It is indeed an auspicious day of Chaitra Vidiya. I wish all readers rejoice and rejoin with extra vigor in spreading the truth.




Paadi  April 21, 2019 at 10:08 AM
Captain,

Isha foundation started a side business through YT videos in explaining ancient Hindu concepts. In these videos they are appealing for financial support, and people who knew the value of ancient Hindu secrets are contributing. Isha is sitting on billion dollar empire but still making money on this attempt. This is channel growing rapidly. I understand making such animation require money but Isha has loads of them.
The topics and subjects he is revealing are from your Hinduism blog sites revelations. Now I know why you had repealed your Hinduism blogs. I think you need to patent them or release a print edition.
I am sharing one video from this channel to check..

https://www.youtube.com/watch?v=lo07E0V6eag




Mohit Prajapati  April 21, 2019 at 11:45 AM
Captain sir, welcome back. Those were empty days when you were not on blog. You have fire in your eyes, looking younger than ever before. Pranam Captain sir.




Sriram  April 21, 2019 at 12:56 PM
Dear Captain Ajit Sir,

Namaskaram.

I am extremely happy that you are back and have started to blog and to guide us.

As promised, I will be more active from now on and will do my bit for the watan and for the good of the world.

As ever, you are "our captain" leading from the front.

Very good and happy news today !!

I pray that this time,with your efforts and the Grace of the Almighty, the silent revolution that has awakened the masses,spread goodness all around for the world.

Hail Sanathana Dharma!!
Hail Captain Ajit Sir!!
Bharat Mata Ki Jai !!

With humble pranams,

Sriram




Akshay  April 21, 2019 at 2:52 PM
Namaskar Captainji,
I am so happy that you have decided to resume blogging.

INDIA NEEDS YOU!!!

Regards,
Akshay



Devendra  April 21, 2019 at 10:36 PM
Pranaam Vadakayil ji,
Hope was the only thing we had , and if you only will lose hope then how to fight? And you decided to quit because you didn't get enough support in your battle for Truth and Dharma? Just becoz you were disheartened to know that very few people have courage and character? were you doing service to Bharat Mata or your followers?
I couldn't believe that you lost hope. There will be more foul play in future, especially on your family members. Will you stop then again? You did exactly what they wanted you to do.
When you were the ship captain, you were already assigned a post and certain powers. The crew worked under you. It was easy to get things done the way you wanted. But now you are an ordinary citizen. There is no crew. People will not work for you .
Things will go as you want only and only if all the people have the same views. And that will take time. Truth needs time to be established. You have done only the initial part. The rest will happen only with time, say 40 years. You have sown the seeds and are expecting the fruits so soon.
The evil hijackers have invested hundreds of years of careful planning and then created Christianity, Islam, Colonialism, Communism, Capitalism. They have placed corrupt people everywhere. Do you expect a sudden change in just 10 years? I am no one to lecture you but then isn't Bhagwad Geeta all about Karma, without expecting the fruits of the action?
You have to give Time to India. We were enslaved through deceit and foulplay. Without this could Prithviraj Chauhan be defeated? Without foul play could they have created false Mutths and fake gurus? We maintained our character in 800 years of foreign rule and yet you wrote that we deserved to be slaves.
Atleast two generations have to pass out with Truth available to them. Time is a very very important factor Vadakayil ji. An incident happened last year with me. I had gone to my younger cousin's house. He is Sadhguru ( the fraud) follower. He chants Aam instead of Aum/ Om. He keeps Sadhguru photo along with Hindu gods. I thought of lecturing him about the Truth about the fraud guru. It resulted in an argument. He called me a loser who could not achieve anything in life and that I just think negative and criticise people. He asked that What is the proof that Ajit Vadakayil is right?
Then I realised that just like I am following you, he is following Sadhguru. Just like I try doing what you say, he does things what the fraud guru says. There isn't much difference in actions. It's just that I happen to be on Truth's side, while he thinks he is on Truths side. People have subjective truths too. Maybe 20 years later he will do what I tried explaining to him today. But for now he will hold on to what is Truth for him today. Truth needs Time to become powerful for people; people need Time to accept Truth.
people will become more aware with time and Truth will firmly govern people's minds. But if Truth is never made available to people, Lies are accepted by people and lies will govern people's minds. The entire battle in our Puranas is between Devas and Asuras. Or should we say that each is holding on to his Truth and are fighting for it.
For change to happen Karma based on Truth is to be done. But before that Truth has to firmly hold you. So one needs Time to accept Truth.
Please continue doing your Karma . People are still finding their ground. You are blessed to have a cultured family. Can you expect people to run at your pace with a disjointed family and poor cultural values? And please don't give much preference to your ego.
We love you so much Vadakayil ji.
We are all Arjunas in this Kurukshetra. Phal ki chinta kiye bina hee Karma karo.


   

Amrita L  April 22, 2019 at 12:16 PM
Respected Captain,
Indeed it was a sad day for all of us when you decided to bid adieu.Happy to See you back in action to guide us towards Truth. Welcome back Captain! Your blogposts and the comments are discussed every day at our home.It will take time for the older generation to first unlearn and accept the facts but the young generation seems to be more receptive.Thank you for sharing your vast knowledge and changing our perception.
May you win, may the truth win always.
God bless you & your family.
Regards

Amrita L




Unknown  April 22, 2019 at 8:28 PM
Pranams Guruji
A calm before the storm. Appreciate your decision to continue blogging from the bottom of my heart. Only today, I feel good after the tortorous period when you wanted to stop blogging. lead us captain, with more energy and enthu
Pranams, with gratutude SB




Rajeev  April 11, 2020 at 8:21 PM

my answer to question - who is captain ajit vadakayil on quora...

captain ajit vadakayil has become a source of everything for many like me.

i started reading his blogs in 2014 - that is about 6 years back - and since then i stopped reading any other book.

his perception and ability to see through things is unbelievable and unparalleled ….. his blogs on sanatana dharma and theory of consciousness are something that everyone must read and try to understand…. its simply awakening !!

captain ajit is worlds no 1 writer today with a google count of over 1 billion on its blog…

he has written 1600+ blogs with a variety of subjects … be it health, science, zpf , ai , sanatana dharma, history or chemical tankers..

google/quora/facebook — these social media sites are sinking the links to captain blogs .. quora is spitting so much of venom on it………you can post/comment/share captain blog links on facebook.. because captain is challenging their aakas …


captain has created a silent revolution world wide …




ADAM D ANGELO SPONSORED CRYPTO JEW RAZIMAN TC HAS WRITTEN THAT VADAKAYIL IS A "STAIN ON THE INTERNET "..

WHAT DO YOU HAVE TO SAY ABOUT THIS?

WHAT IS YOUR OPINION ON THE INTEGRITY OF JACK DORSEY ( TWITTER ) MARK ZUCKERBERG ( FACEBOOK ) WHO BLOCKS THE WORD "VADAKAYIL"

capt ajit vadakayil
..



Deepak  April 11, 2020 at 10:30 PM
Namaste caption ...there is only one good thing in my life and it's you.... whether you stop blogging or not ...I not care , there is nothing to say and nothing to ask ......you can give your life for your honour and here I don't even had it...who knows , how many more lifetimes it will take to be like you....you walk on highty planes where mine imagination even can't reach...you make us realize how special human life can be you , you sacrificed and taught us things which we should have learn in 1st class.....coming generations will acknowledge you truly...i had so much guilt ...if I ever became successful ... whole credit will goes to you... I get good when I think of you.....I had so much negative karmic baggage and 800 years of slavery...but I borned as a Hindu and that in lap of BHARATMATA ... it's a stress reliefer....I love you caption and many of us love you too ...we love you a lot caption ...we love you a lot. 


Even after 1000 guesses I couldn't have guessed courage of conviction ...such is my state ....but I often wonders ....why losers ,loners , dimwits ,halfwits understand you more than intelligent ones or world leaders And not many other normal people ... For me it points to ...i don't know .....maybe I was lucky or graceful to land on your blogs that good day (I don't even remember ).....I still do drugs almost everyday ...just counting days and watching life getting wasted....only way I learn is the hard way and that's too when it's late ...but I believe in karma now ..your blogsite made me believe in it ...I used to say cuss words to our gods when I was small..maybe that's why I suffer a lot..... sometimes I just want to hug you....you touched our hearts like no one ever else can....you call us cunts..its like a mirror manytimes...this awakening etc is bullshit...somewhat like fast cars its for higher end people of life...





CR  April 12, 2020 at 12:30 AM
My Quora account never lets me post an answer or upvote, today its letting me down vote, which I have done, but other times the votes get cancelled.

Both these tattus are a stain on the natures very own definition of "manhood", leave alone internet.

What do these two imbeciles amount to, where in the world have they been without a grant, sponsor and free meal ticket ride, what on Earth have they truly witnessed, experienced or seen.

What wisdom these clowns could conjure between them from now till the sun goes supernova, you Captain, can fit today, under you know what.

Its not his accent, I wouldnt think that of him, its their girly looks and feminine demeanor that makes us shake to the bones in our boots.

Cowards bleed a thousand deaths in one lifetime.
If I have the fortune of ever coming across him Im gonna make sure I take teeth.

You are like a badge of honor on this planet, a true symbol of human excellence and endevour, the paramount blessing on Bharatmata' soil, a teacher, a mentor and guide, a good man, and a great human soul, and this reflects within your whole family and state.

What could these sterile dehuman bastardized debauched creatures fathom as blots on the landscape of this Earth.

Captain Vadakayil has emblazoned his name to eternity, he has absolved Bharatmata' children for good, he has cleansed her and her children of the filth these cowards represent, he has purified her soul and her soil for good. Just as he promised.

We decorate him & his family with all our honor and gratitude, he is one of our planets greatest leaders, a superior thinking man with an exemplary technical multi-field prowess.

He is a man that stands truly vindicated, and we will cherish him for generations to come.

Satya Vachchan





Raktim M  April 11, 2020 at 10:52 PM
Shraddheya Shri Gurudev

That scumbag raziman is being deliberately promoted by the deep state tool quora , i kept downvoting his comment , till I got banned by quora from my IP address. Quora don't let me log in any further even from any new mail id , gets directly banned .

Got blocked by Facebook earlier , plus facebook censors heavily this blogsite , hence it became very irritating .

Lastly twitter I had messaged u sometime ago that even twitter also tracked my IP address and blocked me and kept me out of twitter for almost a month , didn't let me log in from any other new mail id . Lost the count of no of accts got blocked or banned.

Even google mail id if i mention your name on the subject area , the message gets blocked from reaching the recipient wholesale , daemon tools are being used in google to block the messages to certain mail ids of officials , even sometimes they block the message saying the link as some virus .

These deep state tools are sans any Integrity , ethics or morals ,cowards of the first order , trying to censor Your blogsite by any means using algos and other pattern matching and etc etc ... Scums of the first order the above mentioned people by you .

Pranam






Munna  April 11, 2020 at 10:53 PM
Dear Captain,

this raziman tv guy & his followers on quora are absolutely delusional, ignorant & vitriolic trash, you have to look at their comments to believe it. raziman tv is a goner. hope good sense prevails in his followers & mend their ways. god help them if they incur your wrath.

mark zuckerberg is the absolute antonym for the word integrity, jack dorsey is no better. they do their deep state masters bidding in such a manner even dogs will be jealous of them.

first we have to beat our leaders with old broken slippers who lead the situation to come to this state. why was jack dorsey not arrested for breaking visa rules. this blogsite repeatedly said to remove visa on arrival which will create a unprecedented national security disaster. mark my words captain, one day when you are gone shit will absolutely hit the fan & these politicians will remember the suggestions sent by this blogsite on their dmt trip after getting mob lynched.

p.s. mark zuckerberg almost made me a believer of reptile men existence

  


hm0  April 11, 2020 at 11:05 PM
Captain, thanks a ton for answering my question.
Forever grateful to you for shining light at the darkness pervading in our society
Regards,
Hari

I am so happy that you have decided to resume blogging.

INDIA NEEDS YOU!!!

Regards,
Akshay




Devendra   April 21, 2019 at 10:36 PM
Pranaam Vadakayil ji,
Hope was the only thing we had , and if you only will lose hope then how to fight? And you decided to quit because you didn't get enough support in your battle for Truth and Dharma? Just becoz you were disheartened to know that very few people have courage and character? were you doing service to Bharat Mata or your followers?
I couldn't believe that you lost hope. There will be more foul play in future, especially on your family members. Will you stop then again? You did exactly what they wanted you to do.
When you were the ship captain, you were already assigned a post and certain powers. The crew worked under you. It was easy to get things done the way you wanted. But now you are an ordinary citizen. There is no crew. People will not work for you .
Things will go as you want only and only if all the people have the same views. And that will take time. Truth needs time to be established. You have done only the initial part. The rest will happen only with time, say 40 years. You have sown the seeds and are expecting the fruits so soon.
The evil hijackers have invested hundreds of years of careful planning and then created Christianity, Islam, Colonialism, Communism, Capitalism. They have placed corrupt people everywhere. Do you expect a sudden change in just 10 years? I am no one to lecture you but then isn't Bhagwad Geeta all about Karma, without expecting the fruits of the action?
You have to give Time to India. We were enslaved through deceit and foulplay. Without this could Prithviraj Chauhan be defeated? Without foul play could they have created false Mutths and fake gurus? We maintained our character in 800 years of foreign rule and yet you wrote that we deserved to be slaves.
Atleast two generations have to pass out with Truth available to them. Time is a very very important factor Vadakayil ji. An incident happened last year with me. I had gone to my younger cousin's house. He is Sadhguru ( the fraud) follower. He chants Aam instead of Aum/ Om. He keeps Sadhguru photo along with Hindu gods. I thought of lecturing him about the Truth about the fraud guru. It resulted in an argument. He called me a loser who could not achieve anything in life and that I just think negative and criticise people. He asked that What is the proof that Ajit Vadakayil is right?
Then I realised that just like I am following you, he is following Sadhguru. Just like I try doing what you say, he does things what the fraud guru says. There isn't much difference in actions. It's just that I happen to be on Truth's side, while he thinks he is on Truths side. People have subjective truths too. Maybe 20 years later he will do what I tried explaining to him today. But for now he will hold on to what is Truth for him today. Truth needs Time to become powerful for people; people need Time to accept Truth.
people will become more aware with time and Truth will firmly govern people's minds. But if Truth is never made available to people, Lies are accepted by people and lies will govern people's minds. The entire battle in our Puranas is between Devas and Asuras. Or should we say that each is holding on to his Truth and are fighting for it.
For change to happen Karma based on Truth is to be done. But before that Truth has to firmly hold you. So one needs Time to accept Truth.
Please continue doing your Karma . People are still finding their ground. You are blessed to have a cultured family. Can you expect people to run at your pace with a disjointed family and poor cultural values? And please don't give much preference to your ego.
We love you so much Vadakayil ji.
We are all Arjunas in this Kurukshetra. Phal ki chinta kiye bina hee Karma karo.






Amrita L  April 22, 2019 at 12:16 PM
Respected Captain,
Indeed it was a sad day for all of us when you decided to bid adieu.Happy to See you back in action to guide us towards Truth. Welcome back Captain! Your blogposts and the comments are discussed every day at our home.It will take time for the older generation to first unlearn and accept the facts but the young generation seems to be more receptive.Thank you for sharing your vast knowledge and changing our perception.
May you win, may the truth win always.
God bless you & your family.
Regards

Amrita L





Unknown  April 22, 2019 at 8:28 PM
Pranams Guruji
A calm before the storm. Appreciate your decision to continue blogging from the bottom of my heart. Only today, I feel good after the tortorous period when you wanted to stop blogging. lead us captain, with more energy and enthu
Pranams, with gratutude SB




Asha Sasikumar  April 11, 2020 at 8:32 PM
Pranam Captain.
I bow unto your lotus feet. Thank you for enlightening us through your blogs. Have been following these blogs for almost a year now. It has transformed me in many ways. Immense gratitude unto you for telling us the history that no one has ever told us.

Thank you. You are a true hero of this nation.
Asha.




Sumana  April 11, 2020 at 9:09 PM
Dear Captain,
Your words have shaped our future. 🙏🙏

Namaskaram,
Sumana




sumit sharma  June 25, 2019 at 12:29 PM
Sorry Guruji,

I owe you an apology and a promise to run along as much required!

Koti koti Pranam for your considerations

:)



rakesh  April 21, 2019 at 7:06 AM
Dear Captain. No words to describe my happiness after reading this post. We won't let you down. Thanks again.


charishma April 21, 2019 at 7:13 AM
Lion is back....this time with much force and energy....
Thank u Guruji for reconsidering ur decision...

With love
Charishma




nami  April 21, 2019 at 7:19 AM
Good to have you back sir!

Best wishes and gratitude to all your readers who helped you change your mind!




MERLINBEE  April 21, 2019 at 9:32 AM
Captain Sahib, am I (or rather are we all) glad to see you back..the Lone Wolf, the wisest, the most powerful, the most loved, the most adored, the most mysterious of them all...

The man with the most amazing perceptive powers on this planet, who knows exactly what he is doing - every moment, everything - the one who can easily find that one small needle in the largest pile of hay possible




Rohit  April 12, 2020 at 8:54 AM
Pranaam Captain,

Quora and Google will learn their lessons when the magnitude of the revolution hits them.

I sincerely apologise for not down voting a malicious quora post on you. I had never seen it until it was brought up by you.

You are my pride sir. I will defend you with everything I have.


Thanks & Regards,
Rohit




Anonymous  April 12, 2020 at 3:16 AM
I got banned from quora editing when all i did was upvote a few comments,and downvot Ra** TV as he shall be referred to from now
The reason Given was the "
Your Quora profile was flagged as not following Quora's name policy and formatting guidelines"
(The are outright culling all opposition to thir deep state agenda and only leave strawman opposition false or True is secondary
reg
D
i didi n




DHARMAPADA   April 12, 2020 at 12:20 PM
Dear Ajit Sir,
I wish Happy Vishu to everyone.

Plz acknowledge below:
I have mentioned many a times what I feel about you but it was short & crisp.
I will put in detail now.

You r the most technically oriented person I have ever come across in my life or will ever come across in my life.
Before I came across u, it was the Mutts & Sampradayas which used to hinge us to Hinduism but the "MIND was searching something MORE".
It was something that was not qualifying to my emotion.
I always felt something is missing, something that is incomplete.
Reason: where is the explanation to those Philosophical/spiritual punch lines.
Hence there was this quest to search for the true answer & I made extensive travelling in my Free time to Hindu pilgrimage sites across India but gained nothing.
It was a restless search but no answer.
Then it was you who got rid of this dense fog of confusion, gradually feeding us bit by bit the fact based explanations.

The way you fed your knowledge to us is no less that nurturing us

It was amazing that something that was lying on the bed of superstition started giving rational meaning.
I have attended certain lecture deliveries on Hindu Spiritualism but all damn waste.
Gone to cathedrals, also gathered with Muslims in Friday mosque to feel if there's something spiritual about it.
It was Nonsense, it was Absolutely crap.
Pathetic Bollywood movies & it's certain scenes.

Had I not come across your blog, I would have been a passively MAD person bcoz forcing the mind to believe something without technical back-up is sheer Madness.

Among all your explanations across Topics, the most complex of them, which you explained in the most simplistic language is your blogs on Sanatana Dharma.
Spiritualism lies on one Zone while Science lies on another Zone and both looks poles apart.
The perfect Quantum entanglement, blending was done only by you.
I was amazed, stunned, how many jaw dropping revelations on Spiritualism have you not done!!!
It was astounding.
Exotic revelations.
With every revelation of your's the heart only said one thing "क्याबातहै".
The bottlenecks got uncorked.
It's like someone who has been Chained for years got released from the shackles & felt the freedom, fresh & full of life.

It's you who released our chained SPIRIT.
Else we were literally enslaved by Fakery.
Poor Vivekananda, perhaps,he was searching all those, exactly what we are searching.
We are fortunate that we came across you, are born in a time when we share the space with you.
Indeed we are your pupil & you the Torch bearer.
Vivekananda died, completely confused without getting any answer to his questions.
When one doesnot get rational answer after a long search, one simply gives up, feels broken, dejected.

Fortunately you came to our rescue & I no more delve in confusions.
A confused life is the most pathetic life that a person lives.
Even a lonely reclusive life is better than a pathetic confused life.
+






DHARMAPADA  April 12, 2020 at 12:20 PM
+
Releasing the Chained Spirit, it can never be done by any normal human being but it's a super human feat.
So here good Karma adds up to your life.
You being so much generous, that's what inspires us & makes us remain grounded.
Hence I mentioned that I remain unfazed to praises bcoz there's a Gaint(its you) infront of whom I am not even a micron of size, so why care praises.
Praises are meaningless for me.

You are the PARADOX.

How can a person in this era where Greed rules over everything else can be so magnanimous.
This makes me recall the Danava Civilization where King Mahabali inspite of knowing Bhagwaan Vamana tricking him, bothered to Give up to the midget Avatara.
When you say genome calling, yes the magnanimity of Danavas calls within you.
That's why your blog which are priceless but if priced can run up to 100s of Crores of rupees, was never encashed by you.
You only gave & Kerala should also be called as "Land of Generous Beings".
"The land of Dan-veers"
Even KARNA gets dwarfed infront your generosity.
It makes absolute sense when you say that these are the events in history which has Kerala Connection.
No you are not boasting, those indeed are the FACTS & it makes absolute sense.

I'm yet to get the realisation, the day won't be too far when I will realise that the barrier is broken & you are my Guru.
I have always held you in very high regards.You occupy a very unique & special position in my heart & mind though you have been very tough to me.
Till date whatever I have learnt, whether it's manipulative politics(political science) or it's spiritual science or my hold on English literature or feeling empowered(no more inferiority complex), for everything I give the whole credit to you, Ajit Sir.
पुराश्रेयआपकोजाताहै, औरकिसीकोनहीं!!!
I will never forget this, when you replied "What is my wishlist".
When I read it, I was completely blank for some seconds.
Such a large hearted person you are.
Simply Incredible!!!
Every feeling has to effortlessly emanate from within.
The day I get that feeling of you being my Guru, I will declare without hesitation & that won't be anything to do with being in good books of yours!
Genuine feelings are feelings arising from soul.
It will be a soul heeding respect to another soul.
Else, you are simply an amazing amazing amazing person.

Jai Shri Jagannatha




Jignasu  April 21, 2019 at 7:36 AM
Namaskaara Captain - Swagatha, Suswagatha!!! May you continue to guide the fellow human race as per your mission statement. More strength to the people of India for return of great Guru.

Strength, Valor and Honor




skk  April 21, 2019 at 8:31 AM
Sir this is the greatest blogsite on the planet ..please never remove it.




Aiswarya r  April 21, 2019 at 9:14 AM
Thanks Alot captain for coming back , only you say the truth and truth will win one day!




Sagar Dev Bhardwaj  April 21, 2019 at 9:40 AM
We love you dear!!!!!!!!;. Our best captain!!!! I love you so much from the deepest corner of my heart!😊




Sambit Dash  April 21, 2019 at 9:59 AM
Guruji Pranam
That's the best Sunday morning news I have got in probably my whole lifetime. There is a part of us that feels like an orphan in your absence. We will start afresh under your guidance and this time there will be no mercy for the traitors.
Strength and honour always..
Thank you Captain




Unknown  April 21, 2019 at 9:59 AM
Namaskaram guruji, thank you very much for coming back. Iam truly ecstatic to see you pick up your battle gear. Seeing you with the conch is filling me with a renewed energy, focus and dedication.
Thank you very much,
Aravind




Anurag Malhotra  April 21, 2019 at 10:30 AM
Thanks GOD, Maharishi is back




Daamini  April 21, 2019 at 10:41 AM
Captain no words just tears falls. Thank you captain. Ocean of love u have for us n to our Bharath matha. Touching your feet captain thank you so much




rajan  April 21, 2019 at 10:45 AM
Thank you so much captain your decision to be back has created self evolution process to the readers and we will be with you always.

Thank you so much





Karthik Sankaran  April 21, 2019 at 10:48 AM
Welcome back, Capt.! Excited to see you back in action!

I understand why you are the master of Change Management.





Tyu  April 21, 2019 at 11:02 AM
Good to see you made it through your period. U r human after all. Keep up the GREAT work as it has improved countless lives. I am noting a slight resurgence in Hinduism and ppl starting to fight back against the corrupt. Let's keep it going - Kalka Avatar in effect!





Muthu Swamynathan  April 21, 2019 at 11:03 AM
Dear Captain, Thank you so much for giving back the sanathana dharma series.

In the last week, my conscience taught me that only by regularly serving, listening, following, discussing with mentor - all the valuable qualities can be cultivated and thereby all rewards of life can be achieved. This is the most valuable realization in my life.

Also, I have decided that i will earn the things only if i deserve it.
i.e i should put effort to get it. I believe if i get things simply it wont last for a long time.





pallavthepal  April 21, 2019 at 11:07 AM
Pranam Captain sir
I have no words to describe my happiness... I always knew that come what may, you will never abandon the command of desh bhakts.





prasad chawan  April 21, 2019 at 11:13 AM
I knew ajit sir u would come back again and not leave ur children without ur support.. Thank you sir Gratitude





C Prabhu  April 21, 2019 at 11:15 AM
Captain Sir,

This is the happiest message, and happiest day for me !!

I will make sure, come what may, I will not fall back in spreading your messages.

Earlier, Chanakya quit his job to save Watan from Alexander, and we know from your one of earlier comments that you quit your job (we know how much a chemical tanker Captain earns) to heal and serve Watan. We will do our utmost to earn your trust back. That is the least we can do.

Regards,
C Prabhu




K'Ganesh  April 21, 2019 at 11:24 AM
It's very pleasing to see u active again Captain ji. We thank you so much for reconsidering ur decision in favor of ur followers.
Thank you so much again.




Rajeev  April 21, 2019 at 11:32 AM
You scared me Captain !! Thru you i can see a hope of change all around and India becoming a superpower !!

Thank You for yours teachings and awakening the perception in me !!




A2Z  April 21, 2019 at 11:57 AM
Very happy to see you continue. I will support you always.

You had written about A1 vs A2 years back. Now many Hindi youtube channels are posting videos about it with lakhs of views. So thanks to you (& Jio) that the truth is reaching the masses; things are changing & will change.





Om Namah Shivay  April 21, 2019 at 12:07 PM
Gurudev we are eternally very grateful to You and can't thank you enough. Jai Mahakaal.




Trinity  April 21, 2019 at 12:19 PM
Respected Sir,
Really happy to see you back in action all guns blazing!!i quote what you wrote "SARAMA IS THE PIONEER WHO CARRIES HIS OWN LAMP ON HIS OWN UNBEATEN PATH RELENTLESSLY TOWARDS HIS GOAL.. CAPT AJIT VADAKAYIL IS A SARAMA."thank you for putting back the priceless Sanatan dharma series.your blogs are inseparable part of my life!
My love to you and your dear family...
Cheers 👍👍






Suman  April 21, 2019 at 1:02 PM
Dear Captain,

My daughter always jumps up to this song. After seeing your roar today morning, I am only thinking of this song

https://www.youtube.com/watch?v=omarippxK9k

Forgive me if I have crossed any boundary, but it comes from my soul with pure joy
and love.

Love you captain!

Suman






A J  April 21, 2019 at 1:06 PM
Thank You so much Capt. for coming back

Hi Captain,
GREAT to see you back again with full force. We thank youfor your decision. Welcome Back.
Thanks And Regards,
Abishek Venkatesh.





kumar  April 21, 2019 at 2:13 PM
dear Ajit sir, thank very much. very very happy to have you back.prayed for you return.
thank you readers who convinced our dear captain.

with gratitude,
s kumar





Amardeep Singh Mann  April 21, 2019 at 2:30 PM
Hello Captain,

Thank you for your decision.

It has filled me with much joy.

Will be sending the link to the people you asked.

Like they say in the Punjabi language, you are back to "Chakdey phatey!"

Kind regards,

Dear Captain,

Welcome back; and sincere thanks for having injected life back in us, akin to a heavy rainfall in a desert, when needed most.

Our efforts with your able guidance will definitely bear fruit.

Ex: All of a sudden, the current CJI feels Judiciary under threat as soon as he accused.

Grace & Peace,
JTA





akash  April 21, 2019 at 2:56 PM
hi captain,
i am an old reader from your blog.I still dnt forget the day i accidently crashed at your blog in the pursuit of information related to lord shiva(in 2013 i guess)..i use to be a mass media promoter(freelancer he he) on twitter of your blog/comments/ur views when i was unemployed. i go with id @desiradar on twitter.ppl may follow me

2 years ago i got employed and since then i hardly get time to spread your words and even find very little time to read your current blogs.FYI i must be among few selected readers who have read your blogs completely from 2009 to 2016 end..and i stll cant forget the day when ur blog on tulsi plant and saundarya lahri blew my mind.

I MUST SAY CAPTAIN,ur views are unmatched ,unbiased and i dnt know any body whose perception level matches urs.

you are the only person that i know,online and offline ,that has so much knowledge in every field and can guide truth seekers like us to the correct path.

YOu are the lone quasar in this dark universe,kindly never leave us.

Your blogs is not just the information centre but an educational institute that has shaped many ppls personality-psychologically,spiritualy and physically.I bet those who have read your blogs truly must have undergone some positive transformation..

blog less but dont quit.





Jayasree Narayanan Pillay  April 21, 2019 at 3:03 PM
Namaskar Guruji
This is real come back and a special thanks to all the readers to a make a tough Captain to resume blogging. This shows the power of the readers, hence Bharath Maata is not short of becoming the SuperPower in the coming years if we maintain the same speed to kick the desh drohis out of their chairs. What a Back Swing ! beautiful and bravo !!! Guruji love you always :-) :-) India is changing.........





sandeep  April 21, 2019 at 3:11 PM
thanks ajit sir,thanks a lot for returning back.
the world needs you.





Buddha Zorba  April 21, 2019 at 3:13 PM
Hello Sir,
Our sincere gratitude you are back

we are with you

i will and have always been with you

yes my time priorities ll vary a bit considering my current scenario

but the silent revolution ll go on

really my friends are slowly by steadily waking up

i ask my fellow readers instagram ( might be kosher ) is also a good social network tool to spread captain's message

and interact with influential people





Rhushi  April 21, 2019 at 3:43 PM
Captain ji

Thank you for continuing the blogging. We loves you. Your information will change the mind of Indians and will show the paths to future generations definitely and sure.

🙏Om Namah Shivay🙏

Regards
Rhushi





PRASAD  April 21, 2019 at 4:40 PM
My Dear Captain,
Welcome back and thank you very much for your decision,
i was very sad from Vishu day and today is the resurrection day of Truth exhuming blog
and happy to see you again Captain.




RVK  April 21, 2019 at 5:31 PM
Dear Captain Pranamam Thank You and Suchitra Amma.Happy to see you back Sir.Thank you very much.
Thanks to All readers.
With Gratitude RVK





DHARMAPADA  April 21, 2019 at 5:42 PM
Dear AJITH SIR

Thank you for resuming your blogging.

It was very painful & absolutely demoralizing to read that you wanted to stop & more scary that you wanted to delete posts.
It's exhausting to keep a complete track of everything in & around but you have proved that you are the BOSS in every sphere.
You are both : 1) Jack of all trade
2) Master of all too.
Rare & unusual combinations.

I am the same person Sagar Nigam who now appears as Dharmapada also appeared as Dharmapada before Sagar Nigam as a Name.

I changed my mobile & hence all these names became here & there.

All names are fake.
Just appearing to remain in touch.

Thank you for resuming blogging.
We are doing as much as it can be possible from our side.

I have been suffering from an unusual headache due to continuous gazing at my mobile.

Hope I don't come across any DISORDER.





Ravin  April 21, 2019 at 5:47 PM
Namaskaaram Elderly Ajit Sir, Dhanyawaad. It is great to read this blogpost.

Namaskaaram Dear Bharatvarshiya Readers who hoped and brought our Elderly Ajit Sir back, Dhanyawaad. I am grateful to you forever.

:-)




ABHIJIT M  April 21, 2019 at 6:08 PM
Welcome Back Gurudev!

Extremely happy to see you back..You are the source of strength and inspiration for us..

Be assured,our fight for Dharma will be more stronger.

Pranaam.





jimihndrxguitar  April 21, 2019 at 6:24 PM
Welcome Aboard Captain. You will come back strong I knew it from the start.





Omkar Padhye  April 21, 2019 at 6:50 PM
Dear Captain,
Nice to see you back.
Please don't stop blogging, you are our eyes and mind to whole world
Please don't leave us again.. The knowledge in your blogs is pure and true, which must continue to expand.
Thank you.





Sabarish  April 21, 2019 at 6:56 PM
Very saddened to learn that you are deleting this blog. I know many people would have felt the same. For many people you are the only source of true history. I remember visiting your blog in 2012 and that opened my eyes and I see the world differently and came to realize the agenda of vested interests. Your comments was the first thing I see every morning and not news. Innumerable people do the same. People have been downvoting and reporting abusive comment about you in Quora silently. I also did the same. But it has been difficult to remove. My humble request is that you continue this service to Hindus. It is sad to see dhimmi Hindus not caring but there are equal number who care. Please reconsider your decision. Pranams!





Shrikant Agarwal  April 21, 2019 at 7:08 PM
Captain,

U can never withdraw blogging as with great power comes great responsibility


Who else in this world is torching the light on darkness spread by evil people

Planet needs you... Stay with us




Unknown  April 21, 2019 at 7:21 PM
Captain you are only solace to poor Indians. We know we have betrayed you but bear with us surely one day the truth will prevail. Keep us guiding .





VaronG  April 21, 2019 at 7:51 PM
Thanks Guruji

Utmost gratitude
🙏🏼





M M Srinivas  April 21, 2019 at 8:13 PM
Dear Captain,
A big and humble thank you for coming back!
Welcome back!
Regards
Sukanya
&
Srinivas





ss  April 21, 2019 at 8:43 PM
Dear capt

Suswagatam, so happy to see you bk in action.

Regds

Sudha





Nitesh Sharma  April 21, 2019 at 8:49 PM
Sir,
You are like Krishna among confused Arjunas.





Venod  April 21, 2019 at 8:51 PM
Very happy to see u back.. captain ur blog has very large spill over effect on many of issues .. I can feel the change in India and in tamil nadu .. the nation s blessed to get a son like u .. all I can suggest u s to continue blogging on all important issues .. but u can blog once a week ..that's best bcoz u r restless .. too heavy blogging .. u need to take rest regularly to keep up ur health and spend time for ur happy family too..




chiron  April 21, 2019 at 9:01 PM
A heartfelt thanks Captain,

Long back, i had achieved, to a small measure, some name, fame, respect and high education, despite taking the high road..though a perennially difficult one...of acting with integrity, being loyal, generous and supportive of others around me.

Life was a series of crisis, Yet around ten years back, things came to a head, was brought down by evil energies of the same people who were the beneficiaries, causing complete destruction in all areas of my life.

At that time, one is faced with a choice. Easiest route for a person, is to embrace evilness themselves, when impacted by it. The victim becomes the abuser and perpetuates the cycle.

That time, i came across your blog.
You helped maintain my sanity in a time of crisis and guided me through a spiritual transformation. Like lord shiva, one could drink the poison and let it burn one's own self, rather than spread it around. Unlike Lord shiva, we do not have the option to burn away that poison in the body by dancing the tandav.

So it has taken a toll on the mind, body and spirit. It has been a long recovery, survival itself has become an issue.

So forgive me captain, if i cannot be active on social media. But have still one gift left, of being able to influence minds positively, especially for young people. This is where i have spread your message, successfully.

With gratitude for all that you have done for hindus, for bharat mata and for me.
Chiron




Unknown  April 21, 2019 at 9:12 PM
Welcome back hero.




Bharat rajbhar  April 21, 2019 at 9:29 PM
Sir, is there any chance for u to be Indian pm. There is no option left OTHER thn voting MODI.




Free Spirit  April 21, 2019 at 10:01 PM
Thank you Captain! For changing your mind and coming back!

It feels like Dasara, Diwali and Holi all together! :)






https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

SOMEBODY ASKED ME

CAPTAIN

IF CORONAVIRUS IS CREATED IN A LAB FOR BIOLOGICAL WARFARE THEN IT DOES NOT MAKE SENSE TO HAVE 55% ASYMPTOMATIC CARRIERS LIKE YOU WROTE...

WELL IN BIOLOGICAL WARFARE "SEEDING" MUST BE DONE BEFORE THE EVENT..

SOME VIRUSES CAN "HIDE" WITHIN A CELL, WHICH MAY MEAN THAT THEY EVADE THE HOST CELL DEFENSES OR IMMUNE SYSTEM AND MAY INCREASE THE LONG-TERM "SUCCESS" OF THE VIRUS.

THIS HIDING IS DEEMED LATENCY. DURING THIS TIME, THE VIRUS DOES NOT PRODUCE ANY PROGENY, IT REMAINS INACTIVE UNTIL EXTERNAL STIMULI— SUCH AS LIGHT / STRESS —OR ACTIVATION ENERGY-- PROMPTS IT TO ACTIVATE.

THE CRIMINALS WHO CREATED COVID-19 VIRUS IN THE LAB, KNOW HOW TO ACTIVATE ASYMPTOMATIC CARRIERS * SLEEPER AGENTS – LIKE MODERN SLEEPER SPY CELLS WITH CHIPS EMBEDDED IN THEM ..

VIRUSES ARE ONLY ABLE TO REPLICATE THEMSELVES BY COMMANDEERING THE REPRODUCTIVE APPARATUS OF CELLS AND MAKING THEM REPRODUCE THE VIRUS'S GENETIC STRUCTURE INSTEAD.

THUS, A VIRUS CANNOT FUNCTION OR REPRODUCE OUTSIDE A CELL, THEREBY BEING TOTALLY DEPENDENT ON A HOST CELL IN ORDER TO SURVIVE

RESPIRATORY VIRUSES, LIKE THE NOVEL CORONAVIRUS, WORK BY HIJACKING HEALTHY CELLS IN YOUR NOSE, THROAT OR LUNGS (YOUR RESPIRATORY TRACT) AND USING THOSE CELLS AS FACTORIES TO PRODUCE MORE VIRUSES.

IF THERE IS A DETECTABLE VIRUS WHEN SOMEONE STICKS A SWAB UP YOUR NOSE, THAT MEANS YOUR ORAL NASAL CAVITY IS EXCRETING THE VIRUS, EVEN IF YOU PHYSICALLY FEEL FINE.

THESE VIRUSES GET PASSED ON TO OTHERS BECAUSE ANY TIME YOU BREATHE, COUGH OR EVEN SPEAK, YOU EXPEL TINY DROPLETS. SO, WHEN A VIRUS IS REPRODUCING IN YOUR RESPIRATORY TRACT, THOSE DROPLETS COULD CONTAIN VIRAL PARTICLES.

WHEN OTHER PEOPLE COME IN CONTACT WITH THOSE PARTICLES, BE IT IN THE AIR OR AFTER THE DROPLET LANDS ON A SURFACE, THEY CAN BECOME INFECTED AS WELL. “YOU’RE LEAKING IT OUT,” SAYS SHAMAN.

COVID-19 IS A LAB MADE VIRUS FOR BIOLOGICAL WARFARE.. THE INCUBATION PERIOD IS TOO LONG ( TWO WEEKS ) FOR IT TO BE A NATURAL VIRUS.. MIND YOU VIRUS IS INERT ( NO SOUL ) TILL IT LATCHED ON AS A PARASITE TO A JOST CELL

WHEN FOUND OUTSIDE OF HOST CELLS, VIRUSES EXIST AS A PROTEIN COAT OR CAPSID, SOMETIMES ENCLOSED WITHIN A MEMBRANE. THE CAPSID ENCLOSES EITHER DNA OR RNA WHICH CODES FOR THE VIRUS ELEMENTS. WHILE IN THIS FORM OUTSIDE THE CELL, THE VIRUS IS METABOLLICALLY INERT

WHEN IT COMES INTO CONTACT WITH A HOST CELL, A VIRUS CAN INSERT ITS GENETIC MATERIAL INTO ITS HOST, LITERALLY TAKING OVER THE HOST'S FUNCTIONS. AN INFECTED CELL PRODUCES MORE VIRAL PROTEIN AND GENETIC MATERIAL INSTEAD OF ITS USUAL PRODUCTS.

SOME VIRUSES MAY REMAIN DORMANT INSIDE HOST CELLS FOR LONG PERIODS, CAUSING NO OBVIOUS CHANGE IN THEIR HOST CELLS (A STAGE KNOWN AS THE LYSOGENIC PHASE).

BUT WHEN A DORMANT VIRUS IS STIMULATED, IT ENTERS THE LYTIC PHASE: NEW VIRUSES ARE FORMED, SELF-ASSEMBLE, AND BURST OUT OF THE HOST CELL, KILLING THE CELL AND GOING ON TO INFECT OTHER CELLS

PROTEINS ON THE CELL SURFACE SPECIFICALLY INTERACT WITH PROTEINS ON THE VIRUS AND EFFECTIVELY LOCK IT IN PLACE. FOR MANY VIRUSES, INCLUDING THE T PHAGE, THE DNA IS PACKAGED IN THE HEAD UNDER PRESSURE, SO NO ADDITIONAL ENERGY IS REQUIRED TO TRANSFER THE DNA INTO THE CELL.

THINK OF IT LIKE A CAN OF 'FIX A FLAT', ONCE YOU LOCK THE NOZZLE ONTO THE TIRE VALVE THE PRESSURIZED CONTENTS AUTOMATICALLY FLOW INTO THE TIRE.

VIRUSES CAUSE A NUMBER OF DISEASES IN EUKARYOTES. IN HUMANS, SMALLPOX, THE COMMON COLD, CHICKENPOX, INFLUENZA, SHINGLES, HERPES, POLIO, RABIES, EBOLA, HANTA FEVER, AND AIDS ARE EXAMPLES OF VIRAL DISEASES. EVEN SOME TYPES OF CANCER -- THOUGH DEFINITELY NOT ALL -- HAVE BEEN LINKED TO VIRUSES.

CONTINUED TO 2--
  1. CONTINUED FROM 1--


    THE REMARKABLE THING IS GOLD NANO COLLOIDS OF GOMUTRA ( FRESH URINE OF HUMPED COW ) HUNT AND SELECTIVELY KILL ALL OF THEM..

    https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

    ON THE OTHER HAND, BECAUSE VIRUSES CAN TRANSFER GENETIC MATERIAL BETWEEN DIFFERENT SPECIES OF HOST, THEY ARE EXTENSIVELY USED IN GENETIC ENGINEERING. VIRUSES ALSO CARRY OUT NATURAL "GENETIC ENGINEERING":

    A VIRUS MAY INCORPORATE SOME GENETIC MATERIAL FROM ITS HOST AS IT IS REPLICATING, AND TRANSFER THIS GENETIC INFORMATION TO A NEW HOST, EVEN TO A HOST UNRELATED TO THE PREVIOUS HOST.

    THIS IS KNOWN AS TRANSDUCTION, AND IN SOME CASES IT MAY SERVE AS A MEANS OF EVOLUTIONARY CHANGE..

    Capt ajit vadakayil
    ..

ANY IONIZING RADIATION -- 5G IS AN EXAMPLE..

THIS ACTIVATING ADIATION COULD BE BEAMED FROM SATELLITE..

capt ajit vadakayil
..


Jayasree Narayanan Pillay April 21, 2019 at 10:52 PM
Wow !!! guruji what a revelation? This is amazing and fascinating. The revelations are really going to resonate in a vital way. Delicious revelations guruji ..........love you always:-) Cards thrown at the right time.



Ashuuu April 21, 2019 at 10:22 PM
will definately have two pints of beer to celebrate your rentry captain



Unknown April 21, 2019 at 10:39 PM
ONe of the happiest days of my life. Gret great to see you back... What a huge releif. No words to explain sir... So many intense happy emotions at play. Please need your guidance always... Thank you so much



MSP April 21, 2019 at 10:41 PM
Dear Most Respected Captain,

You are the king of all times Sir!!

Back with a jolt you are our Usain Bolt!!

Long live the most venerated captain !!

Best Regards,
Madhu




Fibonacci fractal  April 21, 2019 at 10:44 PM
Captain ki jai




RandomReader425  April 21, 2019 at 11:20 PM
So glad to see you back in action Captain Saab, with dramatic conch pose to boot!

I discovered your site just a few weeks back and have been reading like crazy ever since, to be honest even to point of neglecting family and household duties.

Have also been recovering lately from life events a lot like what commentor Chiron above has uncannily described [sending you my prayers Chiron].

Just now have managed to take step of getting onto Quora and start upvoting appropriately and downvoting scumbag Raziman TV. This is a good beginning for me to start repaying Captain.

That Earth Animal cartoon I could not finish watching due to bad language and unnecessary obscene "butt" mentions. Amazing how quickly filth being normalised everywhere. Also, after a long break I've only recently come back to Indian entertainment. Some of the things [eg deodorant ads, dancers with whipped cream simulating anal sex on Entertainment Ki Raat with laughing children in audience] I've seen would be considered too shocking and vulgar even here for the West. Real sad when people from the Subcontinent [to be honest, I too have been guilty of aping to some extent when younger] have such low pride in themselves and their heritage that they are outdoing even goras in debauchery.

Thanks again Captain for putting back up this site. It is a potent antidote to the decline. Half my own family were Hindu Rajputs just a few generations ago. Feel blessed with your provided knowledge to be able to re-connect spiritually. It is a steep learning curve. 

— Paki Girl




Hema Sivaramakrishnan  April 22, 2019 at 12:45 AM
Thank you Chetta for resuming blogging. This will be the best vishukaineettam anyone can get. Thanks once again.


Indianatherat  April 22, 2019 at 1:04 AM
Dear sir

Happy to see you back. Thanks for guiding us once again



Debdoot Sarkar  April 22, 2019 at 2:06 PM
Done Posting The Screenshots On Quora And Thanks A Ton For Revealing all these and many more that no one else could but you, Guruji.

I Feel Really Blessed To Know You & Your Family And Learn So Much From You About Religion, Spirituality, Karma, Dharma, Happiness, Love, Birth, Death, Healing and The List Goes On..I Don't Even Think I Deserve To Know All These..

If I Could Would Stand On Top Of Red Fort And Scream "Ajit Vadakayil Ki Jai" And Inform Everyone About Your Blog And How Much Pain You Are Taking To Heal The Wounds Of Bleeding Bharatmata And Its Children

Please Don't Leave Us.

Regards




Debdoot Sarkar

Gaurav B  April 22, 2019 at 6:14 AM
Respected Captain , Thank you!!! (fist pump)...much gratitude to all the readers who posted regularly to get Captain back...whole box of beer might not be enough today...

With Gratitude
charansparsh.




Prapulla  April 22, 2019 at 9:39 AM
Welcome back Captain:-)



Unknown  April 22, 2019 at 9:44 AM
Dear Captainji,

Thank you Sir. We all need you to save Sanatana Dharma & Mother India. Your articles have helped so many of us to open our eyes to the lies and deceit which have been told to make the world believe. We are with you Sir. Although I am not in a position to do much, I try my best to spread your words. Thank you for deciding to continue Sir. You are a treasure to Sanatana Dharma and Mother India.

Regards,
Bunga




Jayan divakaran  April 22, 2019 at 10:09 AM
Vannadil Sandosham Sookhavoom Tonnnun onde...

Sasneham

Jayan Divakaran



Karthikeyan Yelumalai  April 22, 2019 at 10:36 AM
Pranam Guru Ji,
Your Dawn Of Our Life, Life will be stand still with out you in this Journey.
Kindly forgive us.
With Love
Karthikeyan.Y



Sakthikumar  April 22, 2019 at 11:33 AM
Captain is back with a bang. Thanks Captain for accepting our request and resuming your great service.

All the best.




Ramkumar Jayaraman  April 22, 2019 at 12:21 PM
Respected Captain,

Namaskaram, thank you for deciding to lead us again as part of your silent revolution. Let Mother field shower her divine energy to give you strength to fight this lone battle. Will continue to take part in your battle against adharma.




Unknown  April 22, 2019 at 3:28 PM
Pranaam Dear Captain, Guruji ,

Words can not express my gratitude !! You are a QUASAR. Thank you for everything.

Harsh Vardhan( HV Himalyan)




Unknown  April 22, 2019 at 4:32 PM
Hi Captain,

Thank you considering to come back after the request of some of many followers.

We will stand behind you for the development of our nation and people.

Regards ARK



Samskarebyaha  April 22, 2019 at 5:05 PM
Actually, what a relief to have you back. Capt. you do know v well that only about 10% of the people in the world will be interested in going deeper into any subject. So, the masses will not be doing much anywhere. However, children need to grow up with the truth and your blog will be a proper reference to future generations for ever. It is so important that you actually need to have some kind of back up, even a books. You can have several best selling books if you put the right material together and release them sequentially.




SHEKHAR SHARMA  April 22, 2019 at 5:40 PM
Hi captain
I upvoted an answer on one of your questions on quora and write some good comment and now I am banned from quora.

Now i can't upvote or post comments on quora.


Sangeetha  April 22, 2019 at 5:43 PM
Thank you for coming back , Captain




rashant Nayak  April 22, 2019 at 5:46 PM
I will celebrate the Vishu today. I want to tell Guruji that Kalki has already kicked in at the concious level of every nation loving Indian. Now there is no looking back. Some 8 years back i came accross Capt Ajit Vadakayil while browsing on the topic "Goa inquisition" Since then the word "Vadakayil" has been a "big change" in my life. It has given me totally a different perspective of life. Few of the things, we as a family has done is visited most of the sacred places to feel the energy; Mukambika, Udupi to see the idol of Ayyapa, Thrissur Vadakunathan temple, Guruvayoor to mention a few. All my chilhood heros and Gods have changed for better. Each day it has become a ritual for me to browse through Guruji's blogs. I have turned into an aggressive story teller. I have taken to twitting, every reference has been from the blogs. My reading of books has literally stopped. Vadakayil is the word... and my conscious says there is no room for doubt ...its eternal truth for me. Vadakayil is my Kalki and I am not a hero worshiper nor a blind believer. I am just a soldier of the revolution called "VADAKAYIL"

Pranam Prashant




Abhijeet Rai  April 23, 2019 at 7:30 PM
Dear Captain,

Thanks a lot for coming back & blogging again.

Regards,
Abhijeet.





SJ  April 27, 2019 at 10:52 AM
Namaste Guruji,

Thanks for resuming your blog posts.

-SJ




Ravi  April 10, 2019 at 9:50 AM
Dear Captain
A reply from PMO.
Name Of Complainant Ravichandran
Date of Receipt 07/04/2019
Received By Ministry/Department Prime Ministers Office
Grievance Description Namaskar Please let me know what action you have taken after reading the blog post below.     https://ajitvadakayil.blogspot.com/2019/04/repeated-blasphemy-against-hindu-gods.html     This is to enable concerned adherents of Sanatana Dharma to evaluate the effectiveness of various Hindu organisations in dealing with the organised denigration of Hindu Gods and attacks on Hinduism. Thank you for your kind cooperation. Regards Ravi
Current Status Case closed
Date of Action 08/04/2019
Reason Complaint details inadequate or not legible
Remarks Complaint details inadequate or not legible
Officer Concerns To
Officer Name Shri BASTARD Ambuj Sharma

Regards
Ravi
KL



Kumar S  April 11, 2019 at 7:55 AM
Captain

Posted the following comment as my 6th response to Rajiv Sahni’s comment.


Despite 5 reminders, Quora moderation team is not taking any action, not even an acknowledgement for inquiry, which clearly shows that Quora moderation team is not doing its job properly. Hence I am escalating this to known senior officials in Quora management team to take appropriate action during the annual performance cycle reviews with the moderation team staff.






Kumar S  April 11, 2019 at 8:09 AM
Captain

Sent the following as inmessage through LinkedIn to a person named Gautam Shewakramani, helping grow Quora in India, occasional angel investor. Hoping for the best. Let’s see.

Hi

Despite many reminders, Quora moderation team is not removing a personal derogatory comment made on my sister. Would appreciate if you could step in and take appropriate action.

https://www.quora.com/Who-is-Captain-Ajit-Vadakayil/answer/Rajiv-Sahni-9?__filter__=all&__nsrc__=1&__sncid__=2517694334&comment_id=88305443&comment_type=2

Thanks
Kumar




Rajesh Rawat  April 15, 2019 at 1:56 PM
Dear Captain,

Answer has been deleted, it was their till yesterday.

https://www.quora.com/Who-is-Captain-Ajit-Vadakayil/answer/Rajiv-Sahni-9?__filter__=all&__nsrc__=1&__sncid__=2517694334&comment_id=88305443&comment_type=2




Sushant  April 11, 2019 at 3:12 PM
Sir i feel proud tell you that being a tutor I could bring a change at the subconscious level of my students who now are aware of the data they are being fed through Ncert history books.One girl went to her school teacher and asked, If Arabia is full of deserts how could they invent wooden ships and use it to travel to India and why only India.? You say Arabs brought horses to India whereas our gods have always used horse chariots....Why did everybody (invaders) always come to India and never vice versa? How can so little be written about true Indian history whereas our ancient temples show extremely intelligent architecture?..Why so much is taught about the looters and killera and yet you tell us that they were great (eg.Akbar).. The teacher was unsurprisingly 'Flabbergasted'.How can Ramayana and Mahabharata be considered Mythology whereas Islamic Quran and Christian Bible are considered Holy and Real ..All my students have stopped being self loathing and have begun to question more in the right direction .I can sense pride in them and am sure that they will discover your blogs sooner than later..




S  April 14, 2019 at 11:47 AM
I too am a teacher and have been teaching them true history of India they are filled with awe when i tell them history of all religion is hinduism. Contribution of captain’s in our lives know no depths




RN Murthy  April 12, 2019 at 11:33 PM
Dear Capt Ajit sir,

This silence on your blog and the sannata is unbearable....pls tell us if you are on vacation or off for sometime.
Otherwise, we think you are in serious trouble, would ask your readers to come and see you in person in your calicut home and see if everything is fine...pls don't make us worry about your absence.
Thanks in gratitude.


SApril 13, 2019 at 12:42 AM
Dear Capt,

Why are you not posting any comments ?

We are in great distress!





MERLINBEE  April 13, 2019 at 10:47 AM
Capt we are all worried..nothing from you on this blog for so many days at a stretch..

Our guess is Google has blocked your access to this blog..  You did mention that Google had "THREATENDEDNDENED TO SHUT DOWN MY BLOGSITE"




Bert  April 13, 2019 at 1:39 PM
Dear Capt Ajit Sir,

What happened to your blog? All comments stopped ! My life stopped too..

Thanks
Bert





Brighu.. April 14, 2019 at 9:30 AM
Adarniya Guruji, Please do not quit or delete the blog site. Many of us come here to refer and get insights. Indians are selfish true, but that is how the system is molded and will take time unwind , relearn and rethink. I get into arguments with liberals and sickulars in my neighborhood and at workplace. The normal question is can u show one evidence or basis for your statement, the next moment I share your blog links. If you delete where can a lesser mortals like me go to for reference. Please give India one more chance. Pranamam _/\_





A Tiwari  April 14, 2019 at 11:22 AM
Also sir I have been working on educating and relaying the truth for the past some years at least … Maybe not at the capacity which is what makes me guilty but can say that I have no wavered from that .. will gather more energy and do more .. Just saying that it is very difficult to do so on quora , twitter etc. as they lock out etc. very rapidly .. have consumed at least 3-4 twitter accounts and now using shared one with my mother .. but that too is an excuse so will work on that too . but not a shred of untruthfulness about our country and religion in real world that I can happily say





Arrow  April 14, 2019 at 2:05 PM
Sir
Don't delete all the blog posts.It will kill the soul of this country.Please don't do it.
I can understand your feelings and frustration.I know you are overwhelmed by some of the readers.

I may not have done whatever you have said,but I won't betray you and this country.
You have done alot more to awaken the citizens of this country by telling truth.
We are with you.We will support you.





Kuldhir  April 14, 2019 at 2:44 PM
Captain Sir

i was not commenting , as i am in service to nation.

please don't go. stay connected through comments section.

regards

kuldhir




Ankur  April 14, 2019 at 5:07 PM
Sir if you quit blogging who will stand up for opressed minorities like yazidis? At least more and more people are becoming aware due to your blogs. You yourself said your name ajit means one who cannot be defeated.




Muthu Swamynathan  April 14, 2019 at 5:24 PM
Captain,

Reported Rajiv Sahni comment. Ordered quora to remove the extreme abusive comment against a honorable lady immediately. This time i warned quora team members who handle "report answers" to face legal action if my harassment report is ignored.

Regards,
Muthu Swamynathan.




Muthu Swamynathan  April 14, 2019 at 6:33 PM
Dear Captain,

I remember a question asked by a westerner 2-3 years back.
'
He asked, "If India was so advanced and powerful, why Indians are in this condition today?"

You replied like this. India just came of 800 years slavery + 10 years of Italian rule which ended just in 2014. You also added, "If Usain Bolt was put in jail for 30 years and released, then can he become no 1 within few years?".

I have reminded you abt your answer today. Captain, you can't expect Indians to learn "Strength and Honour" within few years. Indians need to mentor their minds from the scratch after 800 years(recent +10 years) of trauma, need time to rebuild confidence, need time to build mental endurance.

Indians need alteast 15 to 10 years to learn and practise "Strength and Honour". Till then guide us with patience.

I humbly ask you , pls dont quit blogging. It is not completely about us.

BHARATMATA can't loose you.

BHARATMATA KI JAI!

Yours sincerely,

Muthu Swamynathan.






CR  April 23, 2020 at 4:45 PM
Pranam Guruji,


Your hard work has reaped just reward.

https://twitter.com/shri_v/status/1253064093688147968

Thank You

The Whole World will forever be indebted to you.

Highest Regards

CR



Chadhag  April 23, 2020 at 6:03 PM
I have honestly never ever doubted you.. My folks sometimes make fun that is ur captain bhagwan..

There is only one topic that I till now m awaiting ur backswing and that is fapping addiction and its adverse effect on young men...




Debdoot Sarkar  April 23, 2020 at 6:39 PM
Whatever you have predicted so far all came true, Nodoubt you were a legend at sea _/\_

























































I ASK MY READERS

HOW DID YOU STUMBLE INTO MY BLOGSITE ?



SindhuCheraPutra   April 13, 2020 at 5:53 AM
Sir.. i used to be at TOI and other media comments section fighting for Modi as agnijal..
Those days i used to heap praises on Israel and say Hindus shld follow example of Jews in fighting Islamic terror..
One day i got a crisp reply (TOI) in BOLD LETTERS to effect that Israel/ Jews were not our heroes..
I was taken by shock and surprise and tried analyzing the name closely..The name with "Capt" felt genuine but i cud not gather any sense in opposing my stand..
Then in 2015 i stumbled across your name in google while looking out for some info..
It immediately struck me that this is the same Capt Ajit Vadakayil who had given a one liner stinker reply on my comment supporting Israel a year back..
The link took me to yr blog and since then my world has changed..
Thank you Sir..
Its still unbelievable unfathomable what u do..
Regards

Sameer





CR   April 13, 2020 at 5:57 AM
I was tired of being made to feel ashamed of who we are, it didnt feel right.

I sensed dishonesty in how we were being portrayed, what we were taught and conditioned to believe or ourselves.

I knew it was all lies when they painted us with their own debauchery, confirmed when an African received more pride of place in their history. I knew they didnt build the pyramids, and didnt believe in little green men.
I just didnt know we did until I found your blog.

I was supressed in search myself, my purpose of being seeking a way forth, of our noble truth and an eternal justice.

I cannot truly remember which blog I read first, or when, I do remember it changed me a person instantly, and my life forever.

I thought I was a man but I realised I was just an ignorant boy.
A flame was lit.

My soul, consciousness, needed answers to deep questions I didnt even understand but needed.

This led me to stumble to answers inherently just, truthful and noble into your blogsite.

Ive matured much since. I feel so grateful for that to the universe. 


THANK YOU


  1. EXHUMING LONG BURIED TRUTHS GENERATED MORE ENEMIES THAN FRIENDS -- IT IS A THANKLESS JOB..

    EXAMPLE:
    SIKHISM WAS A RELIGION CREATED BY JEW ROTHSCHILD USING KHATRI CRYPTO JEWS FROM PESHAWAR..

    THE KHALISTANI MOVEMENT WAS CREATE BY THE JEWISH DEEP STATE USING CRYPTO JEWS WITH PALE EYES.. THEY MURDERED INDIRA GANDHI WHO NATIONALISED ROTHSCHILDs BANKS

    IN 1857 SIKHS ( AND BR AMBEDKARs MAHARS ) SUPPORTED JEW ROTHSCHILD..

    http://ajitvadakayil.blogspot.com/2015/10/the-only-dalit-freemason-of-india-capt.html

    GREATEST HERO OF SIKHS IS MAHARAJA RANJIT SINGH.. HE WAS CREATED BY JEW ROTHSCHILD..

    MAHARAJA RANJIT SINGHs KINGDOM ACTED AS A BUFFER TO PREVENT AFGHANS / TURKS COMING INTO INDIA TO GIVE PIN PRICKS TO ROTHSCHILD..WHILE ROTHSCHILD CONVERTED AFGHAN/ TURK MUSLIM KINGS TO JEW KINGS..

    ROTHSCHILD CEMENTED "SATI' , USING THE HAREM OF RANJIT SINGH ..

    THE "SATI" OF RANJIT SINGHs HAREM WAS FORCED.. DO IT OR BE SOLD TO WHORE HOUSES .. THE ENTIRE EVENT WAS CAPTURED BY ROTHSCHILDs MEDIA..

    IN THE POST BELOW READ THE PARAS BELOW THE PHOTO OF THE TIGRESS LICKING HER CUB ... THIS "SATI" WAS A ROTHSCHILD MANAGED EVENT ..

    http://ajitvadakayil.blogspot.com/2013/02/maharaja-ranjit-singh-rise-and-fall-of.html

    TODAY SIKHS WANT CONGRESS TO APOLOGIZE FOR THE SIKH KILLINGS BY HINDUs IN 1984..

    DO SIKH CHILDREN TODAY EVEN KNOW THE ETHNIC CLEANSING / GENOCIDE AND LAND GRABBING DONE BY ORDINARY SIKHS ( SUPPORTED BY KHALISTANI TERRORISTS ) ON THEIR HINDU BROTHERS?..

    THESE ETHNICALLY CLEANSED HINDUS ( WORSE THAN KASHMIRI PANDITS ) ARE THE ONES LIVING ON THE STREETS EVEN TODAY IN DELHI..

    THESE SEETHING AND FRUSTRATED HINDU MEN WERE THE FIRST TO RETALIATE AGAINST SIKHS ( LED BY SOME CONGRESS LEADERS ) IN 1984 -- THEY WERE ONCE PROSPEROUS LANDOWNING FARMERS IN PUNJAB , NOW LEADING MISERABLE LIVES AS COOLIES IN DELHI SLUMS..

    THERE IS NO HINDU WIDOW COLONY IN PUNJAB , MEANING HINDU WOMEN WERE BUTCHERED BY SIKHS--

    BUT WE HAVE SIKH WIDOWS COLONY .. HINDUS MASSACRED ONLY SIKH MEN IN 1984 NOT WOMEN.. HERE LIES A HUGE DIFFERENCE IN HUMAN CHARACTER ..

    IN THE GODHRA TRAIN WOMEN WERE KILLED BY MUSLIMS..

    DURING KNEE JERK RETALIATION GUJARATI MUSLIMS WOMEN WERE NOT KILLED BY HINDUS ..

    WHATEVER IS TOLD BY TEESTA SETALVAD / BARKHA DUTT / HARDH MANDAR/ SANJEEV BHAT ABOUT MUSLIM WOMEN GETTING RAPED AND KILLED IS ALL LIES..

    THE SIKH HOLY BOOK GURU GRANTH SAHIB WAS WRITTEN BY A WHITE JEW WEARING TURBAN, A ROTHSCHILD AGENT NAMED MAX ARTHUR MACAULIFFE..

    THIS BOOK WAS CLEVERLY CONVERTED TO BE THE LAST GURU OF SIKHS FOR A VERY GOOD REASON..TO CARVE OUT THE LAND OF ISRAEL USING TWO WORLD WARS ..

    ROTHSCHILD PLANNED CENTURIES IN ADVANCE..

    http://ajitvadakayil.blogspot.com/2013/07/unknown-history-of-sikhs-and-sikhism.html

    LIKE HOW A HINDU ORACLE WAS CONSULTED BY ALEXANDER THE GREAT AT THE TEMPLE OF DELPHI , BEFORE SETTING OUT FOR WAR..

    JEW ROTHSCHILD USED HUGE GURU GRANTH SAHIB BOOKS SPECIALLY MADE IN GERMANY TO BE TAKEN TO THE BATTLE FIELD IN ALL CORNERS OF THE GLOBE DURING WW2..

    SIKH REGIMENTS WERE LED BY THIS BOOK WHILE MARCHING TO BATTLE..


    BEFORE EVERY BATTLE SIKHS WOULD BE GIVEN LIQUOR ( MIND YOU SIKHISM DOES NOT ALLOW SMOKING AND DRINKING ) AND THEN A CRYPTO JEW SIKH WOULD CONSULT THE BOOK -- WILL WE WIN OR LOSE?

    NAIVE AND GULLIBLE SIKH SOLDIERS HAPPILY SACRIFICED THEIR LIVES FOR THIS BOOK PACKED WITH DASA VERSES.. DASAS NEVER EXISTED..

    SIKH AND MAHAR SOLDIERS WHO DIED IN WW1 AND WW2 WERE COUNTED AS WHITE SOLDIERS DEAD.
    GANDHI AND BR AMBEDKAR’S FATHER RECRUITED 13 LAKH ( 1.3 MILLION ) INDIAN SOLDIERS IN THE FIRST WORLD WAR – OUT OF WHICH 111000 ( 1.11 LAKH ) INDIAN SOLDIERS WERE KILLED .

    BR AMBEDKAR’S GRANDFATHER RECRUITED SIKHS FOR THE 1857 WAR TO KILL HINDUS AND MUSLIMS

    GANDHI RECRUITED 25 LAKH ( 2.5 MILLION ) INDIAN SOLDIERS IN THE SECOND WORLD WAR. OUT OF THIS 243000 ( 2.43 LAKH) SOLDIERS WERE KILLED.


    CONTINUED TO 2--
    1. CONTINUED FROM 1--

      TODAY KHALISTANIS ( FROM BRITAIN/ CANADA ) ARE BUSY PLAYING MOSES VIA THE STOMACH ( LANGAR ) -- ONLY FOR FEW DAYS TILL THEY HAVE BEEN COVERED BY WORLD MEDIA..

      CAPT AJIT VADAKAYIL SAVED THE YAZIDIS..

      BUT HEY, AFTER THEY WERE SAVED KHALISTANIS ( NOT FROM INDIA ) WENT TO YAZIDI LAND FOR THE OPPORTUNISTIC LANGAR PHOTO SHOOT , WITH ATTA , DHALL AND ONIONS IN THEIR SUITCASES ..

      SEE THEY ARE SO KIND.. SUCH GOOD SAMARITANS, THESE TURBANED SIKHS

      http://ajitvadakayil.blogspot.com/2014/08/the-yazidis-of-iraq-ethnic-cleansing-by.html

      AMBULANCE CHASING AND WARD COMBING LAWYERS ARE THE WORST ON THE PLANET WHEN IT COMES TO HUMAN CHARACTER.. ARE THESE OPPORTUNIST LANGAR BOYS WEARING BRIGHT COLORED TURBANS ANY BETTER?

      RSS WORKERS ( WITHOUT TRADE MARK TOPI AND KHAKI CHADDI ) CLEANED OVERFLOWING AAARRGGHH PPTTTHHEEOOOYY TOILETS DURING KERALA FLOODS AT RELIEF CAMPS .. THEY WERE NEVER IN THE LIMELIGHT.'

      BUT HEY SOME KHALISTANI SIKHS STAYED IN 5 STAR HOTELS OF COCHIN AND GOT THEY LANGAR COVERED BY WORLD MEDIA..

      SEE SIKHS ARE SO KIND, THEY REACHED KERALA AND FED THE HUNGRY..
      I ASK SIKHS -- STOP YOUR LANGAR IN GURUDWARAS JUST FOR ONE MONTH AND SEE HOW MANY SIKHS COME FOR PRAYERS AFTER THAT..

      WHEN I STUDIED I MY TRAINING SHIP, ON SUNDAY SHORE LEAVE ALL MY SIKH BATCHMATES / SENIORS/ JUNIORS ATE IN THE GURUDWARA LANGAR AT MUMBAI-- ALL IN WHITE UNIFORM -- STICKING OUT LIKE SORE THUMBS..

      WE GOT ONLY THREE RUPEES FOR SHORE LEAVE EXPENSES ( CRISP NOTES ) , OUT OF WHICH 30% WENT FOR EATING BHEL PURI AND ICE FRUIT AT THE FERRY WHARF ITSELF..

      THE CADETS ALSO GOT THEIR WHITE TURBANS LAUNDERED THERE ..

      ANY WHITE JOURNALIST STANDING AT THE GURUDAWARA WOULD HAVE THOUGHT " OH BOY, SIKHISM IS CATCHING UP IN THE NAVY" ..

      EXHUMING TRUTHS IS NOT AN EASY JOB..

      WHEN I WROTE THAT ROTHSCHILD GAVE FREE LANDS ON EITHER SIDE OF CANALS ( NOT YET BUILT ) IN PUNJAB TO CRYPTO JEW PALE EYED ARORAS / AHLUWALIAS-- A LOT OF MY AHLUWALIA/ ARORA FRIENDS BECAME KHATTI WITH ME..

      THEY WENT INTO A DEEP SULK.. JUST BECAUSE THE TRUTH THEY FACE CONTRADICTED THE SHAMEFUL LIE THEY LIVE..

      THEY NOW KNOW HOW THEIR GREAT GRANDFATHERS SUDDENLY BECAME SUCH PROSPEROUS LAND OWNERS BY THE SIDES OF THE CANAL..

      BUT THERE WERE SOME SIKH FRIENDS WHO WERE GRATEFUL TO ME..

      THEY KNOW HOW THEIR GRANDFATHERS DISAPPEARED FROM FRANCE AFTER THE BATTLE OF DUNKIRK.. THEY FOUND PEACE..

      http://ajitvadakayil.blogspot.com/2017/07/dunkirk-christopher-nolan-2017-movie.html

      LIKE HOW CHINESE SLAVES DISAPPEARED FROM THE ISLAND OF PERU SHOVELING BIRD SHIT.. THESE SIKHS / MAHARS SOLDIERS ( RECRUITED BY AHIMSA VAADI JEW GANDHI ) JUST DISAPPEARED IN THE HORRIBLE TUNGSTEN MINES OF EUROPE..

      https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

      I AM TELLING JUST 5 % BECAUSE SIKHS CANNOT HANDLE THE TRUTH.. THEY DON’T EVEN KNOW HOW BRIGADIER SC PURI AND SEVERAL HINDU OFFICERS WAS KILLED BY SIKH JAWANS ..

      ONLY 1% OF THESE SHAMEFUL SOLDIER REVOLT EVENTS WERE EVEN REVEALED..

      ANY OTHER REGIMENT WOULD BE DISBANDED.. BUT HINDUS STILL ALLOW THIS REGIMENT TO MARCH AT THE REPUBLIC DAY PARADE..

      https://www.indiatoday.in/magazine/defence/story/19850228-indian-army-orders-court-martial-of-mutinious-sikh-soldiers-769837-2013-11-28

      KERALA WAS THE ONLY STATE WHERE THERE WAS NO RETALIATION AGAINST SIKHS AFTER INDIRA GANDHI MURDER.. SOME SIKHS AT “WHEAT HOUSE “ CALICUT BURST CRACKERS. .    HINDUS/ MUSLIMS/ CHRISTIANS/ COMMIES CAUGHT THESE BURLY SIKHS AND DARED THEM TO BURST ONE MORE CRACKER..   GAAND MEIN TATTI HAI TOH ..

      capt ajit vadakayil
      ..

  1. I WAS THE FIRST TO WARN WHO/ CDC/ HELATH MINISTER/ PM MODI ABOUT THE DANGERS OF NOT WEARING MASKS

    TELLING THEM THERE IS SOMETHING CALLED ASYMPTOMATIC CARRIER

    FOR EXAMPLE , IN THE CRUISE SHIP DIAMOND PRINCESS 95% OF ALL THOSE WHO WALKED OUT WITHOUT BEING INFECTED WITH COVID-19, COULD BE ASYMPTOMATIC CARRIERS..

    THE SHIPs AC FILTERS ( RECIRC) ARE INCAPABLE OF FILTERING THE VIRUS IN THE AIR..

    DIAMOND PRINCESS WAS THE FIRST CRUISE SHIP TO HAVE A MAJOR OUTBREAK ON BOARD, WITH THE SHIP QUARANTINED AT YOKOHAMA FOR ROUGHLY A WHOLE MONTH. OVER 700 PEOPLE WERE INFECTED, AND 12 PEOPLE DIED. AT THE TIME, THE SHIP ACCOUNTED FOR OVER HALF THE REPORTED CASES OF SARS-COV-2 OUTSIDE OF CHINA.

    BEING A SHIP CAPTAIN FOR 30 YEARS , I KNOW...


    WHO CHIEF MUST BE SACKED.. HE HAS MISMANAGED THIS PANDEMIC..

    US CDC MUST BE PURGES OF ALL EVIL KOSHER PHARMA AGENTS

    IT’S STANDARD PRACTICE FOR THE AIR CONDITIONING SYSTEMS OF CRUISE SHIPS TO MIX OUTSIDE AIR WITH INSIDE AIR TO SAVE ENERGY FOR ENERGY CONSERVATION DURING NORMAL TIMES..

    THE CAPTAIN OF THE SHIP MUST BE SHOT WITH HIS OWN SHIT.. HE COULD HAVE MINIMIZED THIS PROBLEM BY JUST USING OUTSIDE AIR AND NOT RECIRCULATING IT.

    THE PROBLEM IS THAT THESE SYSTEMS CAN’T FILTER OUT PARTICLES SMALLER THAN 5,000 NANOMETERS. TO FILTER CORONAVIRUS A “CORRUGATED” MESH OF LESS THAT 90 NANOMETERS IS REQUIRED..

    WILL POST PART 2 OF THE POST BELOW SOON—

    https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

    WATCH THIS SPACE

    capt ajit vadakayil
    ..


  1. A-jeetji,.communities supporting Britishers (Rothschild) were rewarded by giving away prime properties when they were leaving India in 1947........syrian Christians in Kerala also are part of those communities...they are owners of all prime hill properties till date....
    1. GERMAN JEW ROTHSCHILD GAVE AWAY HIS IMMOVABLE ASSETS ( TEA/ COFFEE / RUBBER PLANTATIONS ETC) TO CRYPTO JEWS PRETENDING TO BE CHRISTIANS IN KERALA..

      THESE PAUPERS SUDDENLY BECAME RICH..

      THESE PEOPLE ARE MERE FRONTS..

      THEY HAVE TO GO ABROAD AND GIVE ACCOUNTS REGULARLY.. BITCOIN IS NOW A NICE MEDIUM, NOW THAT SHELL COMPANIES ARE BEING MONITORED..

      SUPREME COURT LEGALIZED BITCOIN..

      WHAT DO DESH DROHI JUDGES KNOW ABOUT FINANCIAL FRAUD? MODI KEEPS QUIET AS HIS MAJOR POLITICAL DONORS ARE GUJARATI JEWS IN THE DIAMOND BUSINESS..

      SO SO SO-- MODI CLAIMS TO BE A HONEST MAN RIGHT?

      BAAAYE GAAAD ?
      capt ajit vadakayil
      ..










  • I Think they are scared of you Captain, because you are the only one who can see their big picture. You know their janm kundali and kick it at your own free will. They are scared at remaining 40 percent of your revelations.
  • IT MUST BE KNOWN THAT CAPT AJIT VADAKAYIL IS ONLY AGAINST EVIL ZIONISTS -- NOT GOOD JEWS..
    TODAY GOOD JEWS IN ISRAEL KNOW THAT HITLER WAS A JEW..

    http://ajitvadakayil.blogspot.com/2015/10/if-zionist-jews-created-isis-who.html

    TODAY GOOD MUSLIMS WHO CAN REAd FROM LEFT TO RIGHT, KNOW THAT ISIS IN SYRIA / LIBYA WAS CREATED / FUNDED/ ARMED BY ZIONISTS..

    MORE THAN A 1000 ISLAMIC ISIS SUICIDE BOMBERS NEVER TARGETED A JEW.. THEY ONLY TARGETED FELLOW MUSLIMS.. WHY?
    TOP ISLAMIC CLERICS IN INDIA ARE CRYPTO JEWS HAVING ZEBIBA MARK AT THE WRONG PLACE..

    http://ajitvadakayil.blogspot.com/2011/07/cracked-heels-and-prayer-marks-capt.html

    capt ajit vadakayil
    ..



    1. SOMEBODY CALLED ME UP AND CRIED..

      CAPTAIN

      FROM THE GRAPEVINE ,I HAVE FOUND OUT YOU WERE " THE " TOUGHEST CAPTAIN AT SEA..AND YOU RODE LIKE A COLOSSUS FOR 30 YEARS .. AND THE GOT OFF WHILE RIDING THE CREST OF THE WAVE OF POWER TO BLOG..

      HOW IS IT THAT YOU HAVE BECOME " A LIVING LEGEND AT SEA "..

      WELL--

      I PROVIDED STRONG LEADERSHIP DURING TIMES OF CRISIS..

      AND THE CREW LOVED ME FOR THAT..

      SHIP'S CREW DONT LIKE TREACLE SWEET LEADERS LIKE MODI -- IN SABKA VISHWAAS MODE..

      IN THE POST BELOW, I HAVE GIVEN AN INSTANCE WHEN I SAVED MY SHIP, A 90,000 TONNE CRUDE OIL CARRIER, FIRST FROM SINKING AND THEN FROM BURNING..

      http://ajitvadakayil.blogspot.com/2019/10/when-there-is-danger-of-his-ship.html

      I WAS NOT EVEN MARRIED AT THAT TIME.. I WAS A YOUNG CAPTAIN AGED 26..

      BELOW IS AN INSTANCE OF MY SHIP FACING THE WORLDs STRONGEST TYPHOON..

      ALL KNOW HOW STRONG THE CAPTAIN WAS .. REFUSING TO OBEY PAST PRECEDENT..

      http://ajitvadakayil.blogspot.com/2010/12/super-typhoon-bart-perfect-storm-capt.html

      CAPT NARENDRA DAMODARDAS MODI ( SABKA VISHWAAAS MODE ) WOULD NOT HAVE LASTED ONE MONTH -- HE WOULD HAVE BEEN THROW OVERBOARD BY HIS OWN CREW AMD THEN THEY WOULD HAVE SPAT INTO THE SEA..

      ASARAM BAPU IS ROTTING IN JAIL.. HE WAS DONE IN BY DEEP STATE FUNDED NGOs WHO USED A MENTALLY RETARDED GIRL, WHOM HE TRIED TO HELP..

      ASARAM BAPUs FOLLOWERS ARE NOW 95% CONVERTED TO CHRISTIANITY..

      RAPIST BISHOP FRANCO MULAKKAL IS STILL FREE ..

      https://en.wikipedia.org/wiki/Franco_Mulakkal

      IN THIS HOUR OF CORONAVIRUS , I WILL TELL THIS..

      NEGATIVE IONS KILL COVID-19 VIRUS..

      ASARAM BAPU USED A SPRAY OF NEGATIVE IONS SCENTED WITH WILD ORCHID PALASHA FLOWER ON HOLI .. HE WAS DRAGGED OVER HOT COALS FOR WASTING WATER BY THE DESH DROHI JUDICIARY AND THEY LACKEY MEDIA..

      http://ajitvadakayil.blogspot.com/2013/03/holi-celebrations-immoral-attack-on.html

      MODI SHAT IN HIS LANGOT WHEN TRUMP THREATENDEDNED RETALIATION OVER CORONAVIRUS MEDICINE..

      INDIRA GANDHI WAS UNFAZED WHEN USA SENT THE SEVENTH FLEET TO SCARE HER , DURING THE BANGLADESH WAR..

      SHE HAS NOT A NAPUNSAK LIKE MODI -- SHE HAD BALLS OF STEEL..

      SHE BROKE THE SPINE OF KHALISTANIS..

      LAST FRIDAY MUSLIMS ALL OVER INDIA WERE STILL PRAYING IN MOSQUES--WITH BENGAL BEING THE WORST CULPRIT.. MODI DOES NOT HAVE THE BALLS TO ARREST THE MOSQUE MULLAH ..

      I WILL WRITE MODIs LEGACY .. NOT JEWISH DEEP STATE ..

      capt ajit vadakayil
      ..


    1. https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      ONCE WHEN WATCHING A BOLLYWOOD MOVIE IN MY CABIN , WHERE HERO AND HEROINE WERE DANCING ABOUT IN ICE, WITH MY RUSSIAN CHIEF ENGINEER FROM URAL MOUNTAINS, TOLD ME “ THIS SCENE IS STUDIO FAKE”. HE SAID THEIR BREATH IS NOT GENERATING FOG.

      WHEN YOU GO OUTSIDE AND IT’S REALLY COLD OUT AND YOU SEE YOUR BREATH FOG — THAT’S RESPIRATORY DROPLETS..

      THE MEASLES VIRUS, IS SO INCREDIBLY CONTAGIOUS AS IT TRANSMITS VIA EXHALED BREATH AEROSOL.

      AN EXHALED MEASLES PATHOGEN CAN HANG SUSPENDED IN A ROOM FOR A COUPLE HOURS AFTER AN INFECTED PERSON LEAVES..

      CORONAVIRUS IS NO DIFFERENT

      AIRBORNE SPREAD HAPPENS WHEN A GERM FLOATS THROUGH THE AIR AFTER A PERSON TALKS OR BREATHES ..

      DROPLET SPREAD HAPPENS WHEN GERMS TRAVELING INSIDE DROPLETS THAT ARE COUGHED OR SNEEZED FROM A SICK PERSON ENTER THE EYES, NOSE, OR MOUTH OF ANOTHER PERSON.

      COVID-19 VIRUS CAN REMAIN INFECTIOUS IN SMALL PARTICLE AEROSOLS, AND CAN TRANSIT ACROSS ROOMS VIA AC DUCTS ON INTERNAL RECIRC..

      USELESS WHO ( AGENTS OF KOSHER EVIL PHARMA ), IN ITS GENERAL COMMUNICATIONS WITH THE PUBLIC ON SUCH PLATFORMS AS TWITTER, HAS STATED THAT THE VIRUS "IS NOT AIRBORNE" AND THAT IT IS MAINLY TRANSMITTED "THROUGH DROPLETS GENERATED WHEN AN INFECTIOUS PERSON COUGHS, SNEEZES OR SPEAKS..

      "THIS IS NOT THE WHO'S OPINION ON ITS OWN. THE WHO PROVIDES SUCH GUIDELINES THROUGH ITS NETWORKS OF SCIENTIFIC EXPERTS FROM AROUND THE WORLD," CHOOTIYA WHO SPAKE..

      I AM WONDERING IS IF SHOULD STICK TO MY PERSONAL POLICY OF STOPPING COMMENTING ON MEDICAL MATTERS..

      capt ajit vadakayil
      ..













  • This is only initiation to poke nose where supremecourt has no power to interfere. This nose poking will lead to the real purpose i.e. push for 100% vaccination of 135 cr Indians.

    Judiciary is just trying to prepare the ground for the actual game.

    Let the vaccine emerge, supreme court will demand and try to lord over govt of india for 100% vaccination.

  • READ ALL 4 PARTS..

    http://ajitvadakayil.blogspot.com/2017/05/flue-shots-pneumococcal-vaccines-capt.html

    VADAKAYIL STOPPED HPV VACCINATION IN INDIA.. ALL KNOW THIS..

    http://ajitvadakayil.blogspot.com/2016/03/say-no-to-hpv-vaccination-for-indian.html

    WHY HAS WHO MADE DR SAUMYA SWAMINATHAN, THE DAUGHTER OF DESH DROHI MS SWAMINATHAN AS THEIR CHIEF SCIENTIST?

    SHE TRIED HARD TO CONVERT INDIANS TO GUINEA PIGS..

    CONSCIOUS HUMAN BRAIN DISEASES CANNOT BE DONE ON NON-CONSCIOUS LAB RATS...


    read all 7 parts of the post below--

    https://ajitvadakayil.blogspot.com/2019/03/india-must-revert-to-organic.html

    capt ajit vadakayil
    ..









  • CAPT AJIT VADAKAYIL
    ..

    To prevent presymptomatic and asymptomatic transmission of coronavirus, covid-19, sars-cov-2, face masks are mandatory -- Capt Ajit Vadakayil

    $
    0
    0


    THIS POST IS CONTINUED FROM PART 1, BELOW--

    https://ajitvadakayil.blogspot.com/2020/04/google-deleted-my-valuable-post-on.html

    GOOGLE CONTROLLED BY THE JEWISH DEEP STATE  DELETED ABOVE POST -- IT CAN BE READ USING LINK BELOW--







    1. WARNING: THE FUTURE OF THIS PLANET DEPENDS ON THIS CRITICAL MESSAGE

      #######################################

      ALL AIRCRAFT ON THIS PLANET FROM NOW ON MUST HAVE APPROVED HEPA NANO FILTERS FOR INTERNAL AIR RECIRC .

      PLANES MUST HAVE IONIZING HUMIDIFIER ( NEGATIVE IONS KILL VIRUS ) FOR INCREASING HUMIDITY INSIDE AIRCRAFT TO CONTROL COVID-19 VIRUS..

      THE LICENCE OF ALL PLANES MUST BE BASED ON INSTALLATION OF CABIN AIR CHECK INSTRUMENT FOR CORONAVIRUS ..

      THERE MUST BE PERMANENTLY INSTALLED AIR QUALITY DETECTORS FOR CORONAVIRUS WITH UNDELETABE ELECTRONIC MEMORY AND A PAPER GRAPH..

      THE PRINCIPLE OF THE SENSOR MUST BE BASED ON GOLD NANO COLLIDS..

      THE RESULTS MUST BE RECORDED GY HAND ( WITH PILOT SIGNATURE ) IN A "CABIN AIR RECORD BOOK".. IF THIS BOOK IS NOT UPTODATE THERE MUST BE HEAVY FINES TO THE COMPANY , WITH IMPRISONMENT OF PILOT.

      BASED ON GOLD NANO COLLOIDS , ON A GLASS SUBSTRATE, THE BIOSENSOR MUST ARTIFICIALLY PRODUCED DNA RECEPTOR SEQUENCES THAT ARE COMPLIMENTARY TO SECTIONS OF THE COVID-19 VIRUS’ RNA GENOME.

      THESE UNIQUE SEQUENCES CAN BE GRAFTED ONTO THE GOLD NANOISLANDS AND RELIABLY DETECT CORONAVIRUS/SARS-COV-2.

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      LOCALISED SURFACE PLASMON RESONANCE (LSPR) IS AN OPTICAL PHENOMENON THAT OCCURS IN GOLD NANOSTRUCTURES: WHEN EXCITED, THE NANOISLANDS ALTER THE INCIDENT LIGHT TO A SPECIFIC WAVELENGTH, CREATING A PLASMONIC NEAR-FIELD AROUND THE NANOSTRUCTURE.

      WHEN MOLECULES BIND TO THE SURFACE OF THE BIOSENSOR, THE LOCAL REFRACTIVE INDEX WITHIN THE PLASMONIC NEAR-FIELD CHANGES .

      AN OPTICAL SENSOR LOCATED ON THE BACK MEASURES THIS CHANGE AND DETERMINES WHETHER THE SAMPLE CONTAINS THE RNA STRANDS AND THEREFORE THE COVID-19 VIRUS..

      WHILE ONLY THE RNA STRANDS OF SARS-COV-2 EXACTLY MATCH THE DNA STRANDS ON THE SENSOR, DEPENDENT ON THE AMBIENT TEMPERATURE RNA STRANDS THAT ARE NOT COMPLIMENTARY CAN BIND TO THE SEQUENCES, GIVING FALSE READINGS.

      TO COMBAT THIS THE COVID-19 BIOSENSOR MUST USE PLASMONIC PHOTOTHERMAL (PPT) EFFECT TO INCREASE ACCURACY: BY HEATING THE NANOSTRUCTURES WITH A LASER OF A CERTAIN WAVELENGTH TO CREATE THE CORRECT HEAT TO ENSURE ONLY FULLY COMPLIMENTARY STRANDS BIND.

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      I HAD WRITTEN ABOUT GOLD NANO COLLOIDS FOR DETECTION/ TREATMENT ( 2 YEARS AGO ) FOR NIPA-VIRUS.. THIS IS ON RECORD..

      COVID--19 COULD HAVE BEEN ISOLATED AT WUHAN.. IF I WERE THEWHO CHIEF I WOULD HAVE GIVEN INSTANT INSTRUCTIONS TO MODIFY AIRCRAFT HEPA AIR RECIRC FILTERS..

      WHO/ CDC IS CONTROLLED BY KOSHER EVIL PHARMA..

      capt ajit vadakayil
      ..



    https://economictimes.indiatimes.com/industry/healthcare/biotech/healthcare/no-symptoms-in-80-of-covid-cases-raise-concerns/articleshow/75260387.cms?from=mdr

    WHEN I PREDICTED THAT 95% POPULATION IN ICELAND WILL BE ASYMPTOMATIC , DUE TO THEIR DIET RICH IN FROZEN FISH

    ALL MY DETRACTORS HAD SCOFFED.. THEY SAID "HIS TIME CAPTAIN HAS FUCKED IT UP"..

    I WAS THE FIRST TO PREDICT THIS.. IT IS ON RECORD

    1. WARNING: THIS IS THE MOST PRICELESS COMMENT EVER MADE BY MAN . PAY HEED..

      ######################################################################

      70 % OF CORONAVIRUS DEATHS IN WESTERN HOSPITALS ( USA/ BELGIUM/ UK/ ITALY/ SPAIN ETC ) ARE DUE TO PATIENTS BEING FORCIBLY PUT ON VENTILATORS DELIVERING 100% OXYGEN FOR TOO LONG TIME..

      30% CORONIVIRUS DEATHS IN HOSPITALS ARE BECAUSE THE PATIENTS ( CHEAP WINE / FATTY LIVER ) HAVE BEEN FORCIBLY ADMINISTERED PARACETAMOL WHICH DAMAGES THE LIVER.. PARACETAMOL IS DERIVED FROM COAL TAR WITH BENZENE RING..

      99 % PATIENTS WOULD HAVE RECOVERED FROM HOME WITHOUT MEDICINES OR HOSPITAL HELP..

      A HUMAN BEING CANNOT SURVIVE ON 100% OXYGEN.. IT CAN BE ADMINISTERED BY VENTILATOR ONLY TO REVIVE ..

      A HUMAN BEING REQUIRES 21% OXYGEN AND 78% NITROGEN TO LIVE ..

      65 MILLION YEARS AGO, THERE WERE NO HUMANS ON THIS PLANET.. WE HAD DINOSAURS WHO REQUIRED MORE THAN 35% OXYGEN.. THESE BEASTS WITH SMALL WINGS COULD FLY AS THE EARTHS ATMOSPHERE WAS DENSE.. OXYGEN IS HEAVY ..

      THEN SHIVA - THE HINDU GOD STRUCK ..

      SHIVA IS A COSMIC ALLEGORY.. HIS WIFE KALI IS THE BLACK HOLE..

      BRAHMAs WIFE SARASWATI IS THE PRIMORDIAL LIGHT, THE QUASAR WHICH GIVES US PRANA..

      A MASSIVE BLACK METEORITE STONE STUCK PLANET EARTH 65 MILLION YEARS AGO OFF MUMBAI IN THE ARABIAN SEA..

      THIS CAUSED DECCAN FIRES TO RAGE FOR 30,000 YEARS .. TILL THE EARTHs ATMOSPHERE CONTAINED 21% OXYGEN AND 78% NITROGEN..ALLOWING HUMAN LIFE ON THIS PLANET..

      http://ajitvadakayil.blogspot.com/2019/07/shiva-lingam-meterorite-hit-65-million.html

      400 CENTURIES AGO OUR VEDAS DOWNLOADED BY SEERS SPOKE ABOUT MAGIC MOLECULE NITRIC OXIDE..

      THE YOGA YOU SEE WESTERN FEMALES WEARING LEOTARDS SHOWING CAMEL TOE, IS NOT WHAT YOGA IS..

      THE REAL YOGA , NOT PENNED DOWN IS SWARA YOGA.. THIS IS ADVANCED YOGA WHERE MAHARISHIS DABBLED WITH NITRIC OXIDE USING HUMAN BREATH..IT WAS NOT WRITTEN DOWN AS IT WOULD BE LIKE GIVING A GRENADE TO A MONKEY..

      HOWEVER IN INDIA WE DO PRANAYAMA.... WE CHANT OMMMMM.. IT IS ALL ABOUT PRODUCTION OF NITRIC OXIDE..

      http://ajitvadakayil.blogspot.com/2010/11/pranayama-capt-ajit-vadakayil.html

      OM IS THE KING MANTRA . ITS FREQUENCY IS 7.83 HERTZ.. THIS WAS GIVEN TO THIS PLANET BY VISHNUs FIRST AVATAR MATSYA , THE DOLPHIN..

      http://ajitvadakayil.blogspot.com/2019/09/onam-our-only-link-to-planets-oldest.html

      CHRISTIANS HAVE CONVERTED OM TO AMEN-..

      JEWS HAVE CONVERTED OM TO SHALOM...

      MUSLIMS HAVE CONVERTED OM TO 786 WHICH IS OM SYMBOL SHOWN INTO THE MIRROR AND READ FROM RIGHT TO LEFT.. 786 IS PRINTED ON EVERY KORAN COVER..

      THE DIGITAL VALUE OF OM IS 108.. IT IS DERIVED FROM SRI YANTRA GEOMETRY WHICH CONTAINS TOE-- THE THEORY OF EVERYTHING..

      http://ajitvadakayil.blogspot.com/2016/12/108-numerical-equivalent-of-hindu-king.html

      I HAVE SEEN SECRET VIDEOS OF DOCTORS REMOVING THE VENTILATOR FROM A PATIENT , TO BE PUT ON A NEW CORONAVIRUS PATIENT..

      THE OLD PATIENT LOOKS INTO THE DOCTORS EYES .. SILENT.. DOCTOR AVOIDS THE EYES.. HE KNOWS THAT THE OLD PATIENT WILL DIE IN MINUTES..

      THIS IS BLOODY BLUE FUCKIN' MURDER..

      ARE THERE NO INTELLIGENT MEN ON THIS PLANET?..

      THIS IS THE FOURTH TIME I AN SENDING THIS CRITICAL MESSAGE TO TRUMP/ MODI/ WHO / CDC..

      HEADS WILL ROLL.

      THERE WILL BE RETRIBUTION..

      WHEN A CORONAVIRUS PATIENTS LUNGS ARE ON THE VERGE COLLAPSE HE NEEDS ATMOSPHERIC AIR WITH 21% OXYGEN AND 78% NITROGEN .. NITROGEN HAS A BLESSED PURPOSE..

      EVEN HUMAN BREATHING RATE CANNOT BE INCREASED -- LIKE HYPERVENTILATION.. YOU CANNOT GIVE EXCESS OXYGEN/ NITROGEN BY RATE OR VOLUME..

      THOUSANDS OF PEOPLE HAVE DIED IN SOUTH AMERICA BECAUSE A CHARLATAN INDIAN YOGA GURU SRI SRI RAVISHANKAR ( DARLING OF JEWISH DEEP STATE ) INTRODUCED THEM TO SUDARSHAN KRIYA ( SOO HUMM ) HYPERVENTILATION..

      http://ajitvadakayil.blogspot.com/2016/09/hyperventilation-followed-by-valsalva.html

      WHO CHIEF , CDC CHIEF , IMA CHIEF , HEALTH MINISTERS WORLDWIDE WILL BE TRIED FOR MAN SLAUGHTER..

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF—
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRENACE/ GERMANY/ CHINA
        IMA
        WHO
        WHO CHIEF
        US CDC
        CDC CHIEF
        AMBASSADORS TO INDIA FROM ALL MAJOR DEVELOPED NATIONS
        PMO
        PM MODI
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        EVERY COLLECTOR OF INDIA
        NCERT
        EDUCATION MINISTER/ MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEF
        CDS
        AMIT SHAH
        HOME MINISTRY CENTRE/ STATES
        HEALTH MINISTER/ MINISTRY CENTRA AND STATES
        CJI BOBDE
        ATTORNEY GENERAL
        LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
        ALL CHIEF JUSTICES HIGH COURTS
        I&B MINISTER / MINISTRY
        NSA
        AJIT DOVAL
        RAW
        IB
        CBI
        NIA
        ED
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        ALL INDIAN THINK TANKS
        NITI AYOG
        AMITABH KANT
        MOHANDAS PAI
        RAJEEV CHANDRASHEKHAR
        E SREEDHARAN
        WILLIAM DALRYMPLE
        KONRAED ELST
        FRANCOIS GAUTIER
        STEPHEN KNAPP
        DAVID FRAWLEY
        GVL NARASIMHA RAO
        SAMBIT PATRA
        ASHOK PANDIT
        ANUPAM KHER
        KANGANA RANAUT
        VIVEK AGNIHOTRI
        MEENAKSHI LEKHI
        SMRITI IRANI
        PRASOON JOSHI
        SWAPAN DASGUPTA
        MADHU KISHWAR
        SUDHIR CHAUDHARY
        GEN GD BAKSHI
        RSN SINGH
        ARNAB GOSWAMI
        NAVIKA KUMAR
        ANAND NARASIMHAN
        RAJDEEP SARDESAI
        SRINIVASAN JAIN
        SONAL MEHROTRA KAPOOR
        VIKRAM CHANDRA
        NIDHI RAZDAN
        FAYE DSOUZA
        ZAKKA JACOB
        RAHUL ANWAL
        RAVISH KUMAR
        PRANNOY JAMES ROY
        AROON PURIE
        VINEET JAIN
        RAGHAV BAHL
        SEEMA CHISTI
        DILEEP PADGOANKAR
        VIR SANGHVI
        KARAN THAPAR
        PRITISH NANDI
        SHEKHAR GUPTA
        SIDHARTH VARADARAJAN
        PAVAN VARMA
        RAMACHANDRA GUHA
        THAMBI SUNDAR PICHAI
        SATYA NADELLA
        CEO OF WIKIPEDIA
        QUORA CEO ANGELO D ADAMS
        QUORA MODERATION TEAM
        KURT OF QUORA
        GAUTAM SHEWAKRAMANI
        MUKESH AMBANI
        RATAN TATA
        ANAND MAHINDRA
        KUMARAMANGALAMBIRLA
        LAXMI MNARAYAN MITTAL
        AZIM PREMJI
        KAANIYA MURTHY
        RAHUL BAJAJ
        RAJAN RAHEJA
        NAVEEN JINDAL
        GOPICHAND HINDUJA
        DILIP SHANGHVI
        GAUTAM ADANI
        ABHIJIT BANNERJEE
        AMARTYA SEN
        RAGHURAM RAJAN
        MANHOHAN SINGH
        MONTEK SINGH AHLUWALIA
        CHID BABY
        SWAMY
        RAJIV MALHOTRA
        P GURUS
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        MOHANLAL
        SURESH GOPI
        NALIN KOHLI.
        UDDHAV THACKREY
        RAJ THACKREY
        CHANDAN MITRA
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        SRI SRI RAVISHANKAR
        CHETAN BHAGAT
        AMISH TRIPATHI
        DEVDUTT PATTANAIK
        THE QUINT
        THE SCROLL
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        SHOBHAA DE
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        SPREAD ON SOCIAL MEDIA--

        RUSH RUSH RUSH
    1. Namaste Captain,
      Look how they are implementing your knowledge and taking credit.
      http://www.ddnews.gov.in/sci-tech/cens-develops-triboe-masks-protect-healthy-individuals-covid-19

      Until you wrote about Static Electricity, nobody in this world had a zilch idea about its use.
      1. WHY IS WHO UNDERPLAYING GOLD NANO COLLOIDS IN THE FIGHT AGAINST COVID-19 ?

        BECAUSE IT INVOLVES THE "SCALAR " POWER OF THE FIELD OF BRAHMAN..


        WHEN I SAID I LICKED GOLD COLLOIDS OFF A FRESHLY PLUCKED PEEPAL LEAF ( IN POST BELOW) --WHAT WAS IT..

        https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

        ELECTRONS WHIZZ AROUND THE NUCLEUS IN THE SCALAR FIELD OF BRAHMAN.. MODERN SCIENCE DOES NOT KNOW THIS..

        IN THE POST BELOW, READ THE BASE TEMPLATE OF "ADVAITA VEDANTA".. NOBODY ON THIS PLANET HAS WRITTEN ABOUT MOBIUS FIGURE OF EIGHT ORBIT OF ELECTRONS IN A SCALAR FIELD , DERIVING PERPETUAL MOTION..

        THIS WAS DOWNLOADED 400 CENTURIES AGO BY SEERS AND PENNED DOWN 70 CENTURIES AGO..

        HOW DO I KNOW

        MY GENOME TELLS ME..

        SCALAR FIELD IS REJECTED BY MODERN PEER REVIEWED SCIENCE..

        THIS IS WHY WIKIPEDIA DOES NOT GIVE VADAKAYIL A PAGE, WHEN EVEN SLUTS LIKE POONAM PANDEY JI GETS IT..

        POONAM PANDEY JI FOR PRESIDENT !

        capt ajit vadakayil
        ..

    1. .
      NOT ALL SOULLESS VIRUS WHICH HIJACK THE SOUL OF BACTERIA IS A VILLIAN.

      GANGES WATER IS UNIQUE ON THIS PLANET FOR BACTERIOPHAGES.

      BACTERIOPHAGE, IS A VIRUS, ANY OF A GROUP OF VIRUSES THAT INFECT BACTERIA—IT LITERALLY MEANS “BACTERIA EATER”

      THIS IS WHY YOU CAN THROW A DEAD BLATED HUMAN BODY IN GANGES RIVER AND DRINK WATER ONE FOOT AWAY..

      ROTHSCHILD STOCKED HIS SHIPS WITH GANGES WATER ON LONG OYAGES.. IT IS WRITTEN IN CHARAKA SAMHITA THAT GANGES WATER DELIVERS ANTIBIOTIC RESISTANCE WITHOUT SIDE EFFECTS

      http://ajitvadakayil.blogspot.com/2014/06/ganga-manthan-cleaning-of-river-ganges.html

      IN ADDITION GANGES WATER AT THE SOURCE HAS GOLD , SILVER AND IRIDIUM NANO COLLOIDS..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      I HAVE SUCH WATER WITH ME COLLECTED AT GAUMUKH..

      http://ajitvadakayil.blogspot.com/2011/01/living-water-capt-ajit-vadakayil.html

      UNLIKE ANTIBIOTICS, PHAGES TAKE OUT THE PATHOGEN WITHOUT HARMING THE NATURAL FLORA AND FRIENDLY BACTERIA PRESENT IN THE BODY .

      THE KOHER EVIL PHARMA HAS KILLED ALL EFFORTS TO REVIVE PHAGE RESEARCH.

      BACTERIOPHAGES WHICH ARE VIRUSES INFECT AND KILL THEIR HOST BACTERIA BY A MAGICAL SEARCH AND DESTROY ACTION.

      BACTERIOPHAGES, ARE VIRUSES THAT SPECIFICALLY INFECT BACTERIA. PHAGES AND OTHER VIRUSES ARE NOT CONSIDERED LIVING ORGANISMS BECAUSE THEY CAN'T CARRY OUT BIOLOGICAL PROCESSES WITHOUT THE HELP AND CELLULAR MACHINERY OF ANOTHER ORGANISM.

      PHAGES HAS GENES THAT CODED FOR PROTEINS NECESSARY FOR THE FUNCTIONING OF RIBOSOMES — A CELLULAR MACHINE THAT TRANSLATES GENETIC MATERIAL INTO PROTEINS (THE PROTEINS ARE THE MOLECULES THAT CARRY OUT DNA'S INSTRUCTIONS).

      THESE PROTEINS AREN'T TYPICALLY FOUND IN VIRUSES, BUT THEY ARE FOUND IN BACTERIA AND ARCHAEA, ACCORDING TO THE STATEMENT.

      THE WHITE MAN TRIED HARD TO SHOWCASE THAT INDIANS ARE SAVAGES –AND SIPPING GANGES WATER IS ALL SUPERSTITION..

      MY FIRST DEEKSHA WAS ABOUT GANGES WATER AND KUNDALINI COIL-- BEST DONE AFTER SIPPING A TEASPOON OF GANGES WATER ..

      http://ajitvadakayil.blogspot.com/2018/02/sanatana-dharma-hinduism-exhumed-and_7.html

      WHAT IS SOUL?

      http://ajitvadakayil.blogspot.com/2019/12/how-to-release-trapped-and-miserable.html

      My revelations now now jump to 60.36 %
      PSSSSST ---NOW QUORA WILL ASK THER AGENT RAZIMAN TV ( A TRAITOR FROM CALICUT WHO RUNS DOWN HIS OWN MOTHERLAND ) TO WRITE THAT ABOVE IS ALL BULLSHIT.. AND HE WILL EXPLAIN ADVANCED QUANTUM PHYSICS OF SNATANA DHARMA WITH CLASSICAL PHYSICS AND KORAN DOGMA -- USING MAD GRAPHS..

      TEE HEEEEE

      Capt ajit vadakayil
      ..
    1. CAPT AJIT VADAKAYIL SAYS-- COVID-19 IS A LAB MADE VIRUS.

      THIS PLANET HAS NOT SEEN A VIRUS IKE THIS WHERE 55% OF PEOPLE ARE ASYMPOMATIC CARRIERS ( LIKE HUMAN LAB RAT TYPHOID MARY ) WHO WILL INFECT OTHERS IN FUTURE..

      THIS IS THE STUFF FUTURE BIOWARS ARE MADE OFF.

      WE SEE IN SPY MOVIES-- SLEEPER SPY AGENTS ARE EMBEDDED WITH A CHIP.. THEY LEAD NORMAL LIVES TILL THEIR SLEEPER CELL IS ACTIVATED AND THEIR SUBVERSION TASK IS SPELT OUT ...

      SAME WAY ASYMPTOMATIC PATIENTS CAN BE ACTIVATED AND MADE TO SUFFER BY IONIZING RADIATION..( SAY FROM 5G-- REMOTELY INCREASING POWER ).. THEIR TELOMERES CAN BE FRAZZLED..

      THIS IS THE DOORWAY TO FAST AND PAINFUL CANCER, NOT FLU..

      http://ajitvadakayil.blogspot.com/2018/07/metastatic-cancer-spurt-in-india-capt.html

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      AM I SPINNING A CONSPIRACY THEORY? WELL PEOPLE WHO KNOW ME WILL TELL YOU THAT I AM NOT A MORON..

      capt ajit vadakayil
      .
      1. PUT ABOVE COMMENT IN WEBSITES OF—
        IMA
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
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        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRANCE/ GERMANY/ CHINA
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        ALL INDIAN THINK TANKS
        NITI AYOG
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    1. LOCALIZED SURFACE PLASMON RESONANCE (LSPR) SENSING IS FAST AND ACCURATE ..

      WE NEED TO SPPED UP TESTING OF CORONAVIRUS ASYMPTOMATIC PATIENTS, WITHOUT OVERLOADING TRAINED ( OR QUACK ) LAB TECHNCIANS .

      TEST ON A TECHNIQUE CALLED LOCALIZED SURFACE PLASMON RESONANCE, WHICH CAN DETECT INTERACTIONS BETWEEN MOLECULES ON THE SURFACE OF A CONSTRUCTED GOLD C NANOSTRUCTURE AS A LOCAL CHANGE IN REFRACTIVE INDEX.

      DNA PROBES THAT RECOGNIZE SPECIFIC SARS-COV-2 RNA SEQUENCES AND ATTACHED THEM TO GOLD NANOPARTICLES.

      WHEN THEY ADDED PIECES OF THE VIRUS'S GENOME, THE RNA ATTACHED TO THE COMPLEMENTARY PROBES LIKE A ZIPPER BEING CLOSED. THE TEAM USED A LASER TO HEAT UP THE NANOPARTICLES, MAKING IT MORE DIFFICULT FOR IMPERFECTLY MATCHED SEQUENCES TO REMAIN ATTACHED, REDUCING FALSE-POSITIVES.

      SURFACE PLASMON RESONANCE (SPR) IS THE MANIFESTATION OF A RESONANCE EFFECT DUE TO THE INTERACTION OF CONDUCTION ELECTRONS OF METAL NANOPARTICLES WITH INCIDENT PHOTONS. THE INTERACTION RELIES ON THE SIZE AND SHAPE OF THE METAL NANOPARTICLES AND ON THE NATURE AND COMPOSITION OF THE DISPERSION MEDIUM

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      capt ajit vadakayil
      ..
    1. ONCE A CORONAVIRUS PATIENT IS PUT ON VENTILATOR LIFE SUPPORT IN A HOSPITAL WHERE EXCESS OXYGEN IS FORCED INTO YOUR LUNGS YOU CAN KISS YOUR BLESSED ASS GOODBYE.

      THE AIR WE USUALLY BREATHE CONTAINS 21% OF OXYGEN AND 78% NITROGEN.. IT IS NOT WISE TO GIVE 100% FORCED OXYGEN FOR LONG DURATION EVEN TO HEALTHY MEN .

      HIGH OXYGEN LEVELS ( WITHOUT NITROGEN CONTENT OF ATMOSPHERE ) PROMPT ENDOTHELIAL CELLS THAT LINE BLOOD VESSELS AND TINY AIRS SACS IN THE LUNG TO MAKE MORE NITRIC OXIDE ( GOOD ) , THE PRECURSOR OF PEROXYNITRITE ( VERY BAD )

      PEROXYNITRITE, AN OXIDANT POWERFUL ENOUGH TO BREAK DOWN DNA AND CAUSE PROTEINS TO MALFUNCTION,

      PEROXYNITRITE IS A POWERFUL OXIDANT EXHIBITING A WIDE ARRAY OF TISSUE DAMAGING EFFECTS, INCLUDING LIPID PEROXIDATION, INACTIVATION OF ENZYMES AND ION CHANNELS VIA PROTEIN OXIDATION AND NITRATION, AND INHIBITION OF MITOCHONDRIAL RESPIRATION

      PUMPING IN TOO MUCH OXYGEN TOO QUICKLY CAN STRIP THE MOLECULE OF A SINGLE ELECTRON, CREATING A FREE RADICAL. FREE RADICALS, LINKED TO RAPID AGING, ARE HIGHLY REACTIVE WITH OTHER MOLECULES, INCLUDING VITAL DNA AND PROTEINS, THE DESTRUCTION OF WHICH CAN DAMAGE OR KILL CELLS

      PEROXYNITRITE AND EXCESS OXYGEN FREE RADICALS CAN BE GENERATED FROM SEVERE CELLULAR DAMAGE AND CAN CROSS THE BLOOD-BRAIN BARRIER AS LIPID-SOLUBLE PRODUCTS TO ACCUMULATE WITHIN NEURONAL TISSUE. THIS CAUSES LOSS OF SENSE OF SMELL AND TASTE .. THIS HAS NOT BEEN INVESTIGATED BY WHO

      JUST BECAUSE THE DOCTOR HAS A SPARE VENTILATOR IT MUST NOT BE IMPOSED ON THE PATIENT WHO HAS NOT SUFFERED FROM LUNG COLLAPSE AD IS BREATING ON HIS OWN..

      BOTTOMLINE: MOST CORONAVIRUS PATIENTS WHO END UP ON VENTILATORS DISHING OUT 100% OXYGEN GO ON TO DIE. THEY WOULD NOT HAVE DIED IF THEY WERE NOT PUT ON THE VENTILATOR

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      capt ajit vadakayil
      ..


      PUT ABOVE COMMENT IN WEBSITES OF—
      IMA
      WHO
      WHO CHIEF
      US CDC
      CDC CHIEF
      UN
      UN CHIEF
      TRUMP
      PUTIN
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      NITI AYOG
      AMITABH KANT

    https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html



    1. DONALD TRUMP

      LISTEN UP

      AND LISTEN GOOD
      PART OF DRAINING THE SWAMP IS DISMANTLING WHO AND CDC...



      GET RID OF AGENTS OF KOSHER EVIL PHARMA FROM THESE TWO TRAITOR ORGS..


      THIS PANDEMIC IS CAUSED BY SLACKNESS OF WHO AND US CDC..

      TRUMP, AS SOON AS YOU STOPPED FUNDING WHO, THIS SLIMY ORG PRAISED MODI TO THE SKIES.. WHY?..



      IT IS EASY TO PUT MODI ON “CHANNE KA JHAAD”..



      HE GETS TERRIBLY PLIANT WHEN HE GETS PRAISE LIKE “CHAMPION OF EARTH” BY JEWISH DEEP STATE ( PARIS COP 21 )
      PRONOUNCEMENTS, GUIDELINES AND RECOMMENDATIONS BY THE CENTERS FOR DISEASE CONTROL AND PREVENTION SET THE STANDARDS FOR MAINSTREAM MEDICINE IN AMERICA AND HOLD GREAT SWAY WITH PATIENTS AND AROUND THE WORLD AND WITH THE WORLD HEALTH ORGANIZATION BECAUSE THE CDC IS CONSIDERED INDEPENDENT AND FREE OF INDUSTRY RELATIONSHIPS.

      THE ORGANIZATION EVEN FEATURES THE FOLLOWING DISCLAIMER WITH ITS RECOMMENDATIONS: “CDC, OUR PLANNERS, AND OUR CONTENT EXPERTS WISH TO DISCLOSE THEY HAVE NO FINANCIAL INTERESTS OR OTHER RELATIONSHIPS WITH THE MANUFACTURERS OF COMMERCIAL PRODUCTS … CDC DOES NOT ACCEPT COMMERCIAL SUPPORT.”

      THE NAKED TRUTH IS THAT THE CDC GETS MILLIONS OF DOLLARS ANNUALLY FROM BIG PHARMA AND THEN TURNS AROUND AND RECOMMENDS TESTING AND DRUGS CREATED AND MARKETED BY THOSE SAME COMPANIES, AND THIS IS OFTEN DONE UPON THE CONTRIBUTING COMPANY’S DEMAND.

      CONGRESS ( CONTROLLED BY JEWISH BIG BROTHER ) AUTHORIZED THE CDC TO ACCEPT “EXTERNAL GIFTS” FROM INDUSTRY AND PRIVATE PARTIES IN 1983, AND IN 1992 PASSED LEGISLATION FOR THE CREATION OF A NONPROFIT FOUNDATION TO ENCOURAGE RELATIONSHIPS BETWEEN INDUSTRY AND THE AGENCY.

      IN FISCAL YEAR 2014, THE CDC FOUNDATION RAISED $52 MILLION, $12 MILLION OF THAT FROM KOSHER EVIL BIG PHARMA.

      ONE EXAMPLE IS A $600,000 DONATION FROM GENENTECH TO THE CDC FOUNDATION IN 2012 WHICH REQUIRED THE CDC TO PROMOTE EXPANDED TESTING AND TREATMENT OF VIRAL HEPATITIS. GENENTECH’S PARENT CORPORATION IS ROCHE, WHICH JUST HAPPENS TO MANUFACTURE TEST KITS AND TREATMENT DRUGS FOR HEPATITIS C.

      ROCHE UNDER DECLARES ITS WEALTH..

      THAT SAME YEAR, THE CDC ISSUED GUIDELINES TO PHYSICIANS RECOMMENDING THAT EVERYONE BORN FROM 1945 TO 1965 BE SCREENED FOR HEPATITIS C VIRUS. JUST ONE SINGLE EXAMPLE AMONG HUNDREDS..

      http://ajitvadakayil.blogspot.com/2016/03/say-no-to-hpv-vaccination-for-indian.html

      http://ajitvadakayil.blogspot.com/2015/10/autism-in-india-and-triple-vaccine-mmr.html

      FDA also promotes drugs based on bogus industry studies and payments from the evil kosher pharma..

      BIG PHARMA USES A SIMILAR MARKETING TECHNIQUE WITH PHYSICIANS. IT PAYS PHYSICIANS EXORBITANT FEES TO ENDORSE ITS PRODUCTS IN INDUSTRY PAPERS AND IN SPEECHES ON BEHALF OF ITS DRUGS AT CONVENTIONS. ..

      DOCTORS ALSO RECEIVE KICKBACKS FOR PRESCRIBING CERTAIN DRUGS OVER OTHERS, EVEN IF THOSE DRUGS ARE PRESCRIBED FOR OFF-LABEL PURPOSES.. THEY DOCTORS GET FREE SEXUAL JAUNTS IN BANGKOK…

      LAWSUITS HAVE REVEALED THAT MORE OFTEN THAN NOT THAT INDUSTRY PAPERS ARE GHOST WRITTEN BY THE PHARMACEUTICAL COMPANY’S PR HACKS AND THE PHYSICIANS JUST SIGN THEIR NAME TO THEM WITHOUT READING OR UNDERSTANDING THE RESEARCH IN ORDER TO RECEIVE THE FEE…

      THE LEGAL DRUG BUSINESS IS A MULTIBILLION-DOLLAR SCAM ON THE PEOPLE, AND GOVERNMENT HAS NO INTEREST IN KEEPING PEOPLE “SAFE.” ..

      MANY US GOVERNMENT AGENCIES ARE FUNDED BY CORPORATIONS AND SERVE AS REVOLVING-DOOR JOB PROGRAMS BETWEEN GOVERNMENT AND THE CORPORATIONS THEY SUPPOSEDLY OVERSEE…

      IN INDIA EVIL PHARMA RE HUGE POLITICAL DONORS VIA SHELL COMPANIES.

      capt ajit vadakayil
      ..




    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY LIAR ASHOK SWAIN ..WHY IS HE RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES .. ALONG WITH SOME INDIAN COMMIES/ NAXALITES..
    https://twitter.com/ashoswai/status/1250078811418439681

    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE NATIONS..

    https://www.worldometers.info/coronavirus/

    IN COMPARISON TO INDIAs 0.3 ( WE HAVE 1350 MILLION PEOPLE ) , SWEDEN IS 102..

    SPAIN/ 390
    BELGIUM/ 359
    ITALY / 348
    FRANCE / 241
    UK/ 178
    USA/ 79

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION..BY TRAITORS LIKE ASHOK SWAIN..
    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES ETC ETC..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..

    https://twitter.com/Kalki783/status/1250094779251281921/photo/1

    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil
    ..

    1. PUT ABOVE COMMENT IN WEBSITES OF--
      ASHOK SWAIN ( PUT SCREEN SHOT IN TWITTER SITE-- VERIFY IT )
      PM OF SWEDEN
      AMBASSADOR TO FROM SWEDEN
      DEAN UPPSALA UNIVERSITY
      DONALD TRUMP
      PUTIN
      BORIS JOHNSON
      MACRON
      ANGELA MERKEL
      AMBASSADOR TO FROM USA / RUSSIA UK/ FRANCE / GERMANY
      PMO
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      MADHU KISHWAR
      SUDHIR CHAUDHARY
      GEN GD BAKSHI
      RSN SINGH
      ARNAB GOSWAMI
      NAVIKA KUMAR
      ANAND NARASIMHAN
      UDDHAV THACKREY
      RAJ THACKREY
      SHAZIA ILMI
      CHANDA MITRA
      SRI SRI RAVISHANKAR
      SADGURU JAGGI VASUDEV
      BABA RAMDEV
      THAMBI SUNDAR PICHAI
      SATYA NADELLA
      CEO OF WIKIPEDIA
      QUORA CEO ANGELO D ADAMS
      QUORA MODERATION TEAM
      KURT OF QUORA
      GAUTAM SHEWAKRAMANI
      ALSO SEND TO THE DEANS OF THE FOLLOWING UNIVERSITIES..

      UNESCO Chair of International Water Cooperation, and the Director of Research School of International Water Cooperation at Uppsala University. He has been a Mac Arthur Fellow at the University of Chicago, Fellow at UNRISD, Geneva; and visiting professor at University of British Columbia, University of Maryland, Stanford University, McGill University, Tufts University and University of Natural Sciences and Life Sciences, Vienna.

      ENTIRE BBC GANG
      ROMILA THAPAR
      IRFAN HABIB
      VC OF TISS/ DU/ JU/ JNU
      SOCIAL SCIENCES PROFESSORS OF TISS/ DU/ JU/ JNU

      SPREAD ON SOCIAL MEDIA

    1. CRITICAL MESSAGE FOR MORONS IN WHO AND US CDC..

      65 MILLION YEARS AGO A SHIVA LINGAM BLACK METeRORITE STONE HIT PLANET EARTH OFF BOMBAY HIGH.

      IT CAUSED DECCAN PLATEAU VOLCANIC UPHEAVALS AND SEVERE FIRES FOR 30,000 YEARS REDUCING THE LEVEL OF OXYGEN IN THE ATMOSPHERE TO 21% ..

      THIS KILLED OF DINOSAURS AND PAVED THE WAY FOR HUMANS TO BE BORN ON EARTH.

      DINAUSARS WITH SMALL WINGS WOUD FLY ONLY BECAUSE OF HIGH OXYGEN CONTENT IN THE ATMOSPHERE

      http://ajitvadakayil.blogspot.com/2019/07/shiva-lingam-meterorite-hit-65-million.html

      CORONAVIRUS DOCTORS ARE USING VENTILATORS THE SAME WAY A RETARDED CHILD WHEN GIVEN A HAMMER, STARTS HITTING EVERYTHING IN SIGHT

      MOST CORONAVIRUS PATIENTS WHO END UP ON VENTILATORS DISHING OUT 100% OXYGEN GO ON TO DIE. THEY WOULD NOT HAVE DIED IF THEY WERE NOT PUT ON THE VENTILATOR
      IN ITALY 90% DEATHS ARE DUE TO AGED PATIENTS WITH FATTY LIVER ( CHEAP WINE ) BEING GIVE PARACETAMOL AND BEING PUT ON THE VENTILATOR

      OXYGEN TOXICITY IS A CONDITION RESULTING FROM THE HARMFUL EFFECTS OF BREATHING MOLECULAR OXYGEN (O2) AT INCREASED PARTIAL PRESSURES. SEVERE CASES CAN RESULT IN CELL DAMAGE AND DEATH

      A VENTILATOR IN A HOSPITAL TAKES OVER THE BODY'S BREATHING PROCESS WHEN DISEASE HAS CAUSED THE LUNGS TO FAIL OR BE WEAK.

      THE AMOUNT OF INHALED AIR CONTAINS 21% OF OXYGEN AND 0.04% OF CARBON DIOXIDE, WHILE THE AIR WE BREATHE OUT CONTAINS 16.4% OF OXYGEN AND 4.4% OF CARBON DIOXIDE.

      THIS IS BECAUSE OUR CELLS USE OXYGEN FROM THE INHALED AIR TO RELEASE ENERGY AND GIVE OUT CARBON DIOXIDE AS A BYPRODUCT. 78% NITROGEN IS NOT ABSORBED BY THE HUMAN BODY..

      NITROGEN HELPS IN PROTEIN SYNTHESIS, AMINO ACIDS THAT INFLUENCE GROWTH, HORMONES, BRAIN FUNCTIONS AND THE IMMUNE SYSTEM

      NITROGEN DISSOLVES INTO YOUR BLOOD THROUGH YOUR LUNGS. NORMALLY, THIS HAS NO EFFECT ON YOU. YOUR BODY DOESN’T USE THAT NITROGEN IN ANY WAY, AND IT DOESN’T REACT WITH YOU CHEMICALLY.

      THE ONLY WAY TO EVEN NOTICE IS TO BE SUBJECTED TO A SUDDEN DROP IN PRESSURE.

      FOR EXAMPLE, IF YOU ARE PRESSURIZED TO SEVERAL TIMES NORMAL ATMOSPHERIC PRESSURE, THEN SUDDENLY REDUCED TO NORMAL SEAL LEVEL PRESSURE, THAT DISSOLVED NITROGEN WILL SUDDENLY AND VIOLENTLY RETURN TO GAS PHASE, FORMING BUBBLES IN YOUR BLOOD.

      THIS IS PAINFUL AT BEST, AND QUITE POSSIBLY FATAL WITHOUT IMMEDIATE RE-PRESSURIZATION.

      IN THESE SEVERE CASES, THE VIRUS CAUSES DAMAGE TO THE LUNGS. THE BODY'S IMMUNE SYSTEM DETECTS THIS AND EXPANDS BLOOD VESSELS SO MORE IMMUNE CELLS ENTER.

      BUT THIS CAN CAUSE FLUID TO ENTER THE LUNGS, MAKING IT HARDER TO BREATHE, AND CAUSING THE BODY'S OXYGEN LEVELS TO DROP.

      TO ALLEVIATE THIS, A MACHINE VENTILATOR IS USED TO PUSH AIR, WITH INCREASED LEVELS OF OXYGEN, INTO THE LUNGS.

      A VENTILATOR IS A MEDICAL EQUIPMENT THAT IS NEEDED IN CRITICAL CASES ONLY WHEN A PERSON IS UNABLE TO BREATHE NATURALLY.

      THE VENTILATOR ALSO HAS A HUMIDIFIER, WHICH ADDS HEAT AND MOISTURE TO THE MEDICAL AIR SO IT MATCHES THE PATIENT'S BODY TEMPERATURE.

      PATIENTS ARE GIVEN MEDICATION TO RELAX THE RESPIRATORY MUSCLES SO THEIR BREATHING CAN BE FULLY REGULATED BY THE MACHINE.

      PATIENTS SHOULD BE KEPT OFF THE MACHINES AS LONG AS POSSIBLE ..JUST BECAUSE THE DOCTOR HAS A SPARE VENTILATOR IT MUST NOT BE IMPOSED ON THE PATIENT

      PURE OXYGEN CAN BE DEADLY. OUR BLOOD HAS EVOLVED TO CAPTURE THE OXYGEN WE BREATHE IN AND BIND IT SAFELY TO THE TRANSPORT MOLECULE CALLED HAEMOGLOBIN.

      IF YOU BREATHE AIR WITH A MUCH HIGHER THAN NORMAL O2 CONCENTRATION, THE OXYGEN IN THE LUNGS OVERWHELMS THE BLOOD'S ABILITY TO CARRY IT AWAY

      PUMPING IN TOO MUCH OXYGEN TOO QUICKLY CAN STRIP THE MOLECULE OF A SINGLE ELECTRON, CREATING A FREE RADICAL. FREE RADICALS, LINKED TO RAPID AGING, ARE HIGHLY REACTIVE WITH OTHER MOLECULES, INCLUDING VITAL DNA AND PROTEINS, THE DESTRUCTION OF WHICH CAN DAMAGE OR KILL CELLS

      BOTTOM LINE: ONCE YOU ARE PUT ON LIFE SUPPORT YOU CAN KISS YOUR BLESSED ASS GOODBYE.
      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      Capt ajit vadakayil
      ..





    https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

    ABOVE POST IS RACING TO A ALL TIME HIGH

    MIND YOU, MY POST ON CHIKUNGUYA IS THIRD ON THIS ALL TIME HIGH LIST..   PAPAYA LEAF JUICE SAVED THIS PLANET.. ALL KNOW THAT..


    http://ajitvadakayil.blogspot.com/2012/08/chikungunya-disease-created-in-lab-capt.html

    capt ajit vadakayil
    ..
    1. https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      THE COVID-19 VIRUS HAS THE CAPACITY TO AFFECT FAR MORE THAN JUST THE RESPIRATORY TRACT. INITIALLY, HOWEVER, IT WAS VIEWED “VERY MUCH LIKE A CLASSIC RESPIRATORY VIRAL INFECTION.

      AS A RESULT, A LOT OF PEOPLE WERE REFUSED TESTING BECAUSE THEY WERE NOT SHOWING THE CLASSIC SIGNS” OF RESPIRATORY INFECTION,

      WARNING: NEVER EVER IGNORE THE FACT THAT CORONAVIRUS PATIENTS BEFORE THEY DIE HAVE NO SENSE OF SMELL OF TASTE FOR SEVERAL HOURS.. THEY CANNOT TASTE A TEASPOON ON VINEGAR OR SMELL THE FLAVOUR

      THE VIRUS SEEMS TO HAVE CAPACITY TO AFFECT FAR MORE THAN JUST THE RESPIRATORY TRACT. IT AFFECTS THE BRAIN BREACHING THE BLOOD BRAIN BARRIER.

      CORONAVIRUSES ARE ZOONOTIC, WHICH MEANS THEY CAN PASS FROM ANIMALS TO HUMANS. MANY PEOPLE IN NEW YORK HAD DIED BECAUSE THEIR PETS ARE ASYMPTOMATIC

      IF ANYBODY IN NEWYORK DIES FIRST FIND OUT IF HE HAS A PET ( DOG/ CAT ) IN HIS HOME.

      THERE ARE MORE THAN 1.2 MILLION PETS IN THE CITY --700,000 DOGS AND 500,000 CATS IN CRAMPED LIVING SPACES...

      PEOPLE IN NEW YORK MUST NOT ALLOW PETS INSIDE THEIR BED ROOMS—LEAVE ALONE SLEEP UNDER THE SAME BLANKET.. WITH THIS CORONOVIRUS PANDEMIC SUCH SOCIAL LIVING IS HISTORY.. WHO AND US CDC MUST TAKE THE INITIATIVE

      ONLY NANO GOLD CAN SAVE THIS PLANET. GOLD NANO COLLOIDS DOES NOT CARE FOR MUTATING COVID-19 VIRUS, IT WILL HUNT AND DESTROY SYMPTOMATIC OR ASYMPTOMATIC ..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      capt ajit vadakayil
      ..



    1. EVER SINCE I PUT UP THE POST BELOW TWO YEARS AGO, THE WORLD HAS FOCUSED ON NANO GOLD COLLOIDS TO DETECT/ PREVENT/ CURE VIRUS, EXCEPT INDIA..

      BECAUSE MODI WILL ONLY APE WHITE JEWS..EVEN FOR SIMPLE COMMONSESENSE MATTERS LIKE WEARING MASKS..

      http://ajitvadakayil.blogspot.com/2018/05/nipa-virus-deaths-in-kerala-gomutra-of.html

      CORONA VIRUS AND GOLD NANO COLLOIDS ARE THE SAME SIZE.

      GOLD NANO COLLOID METHOD DIAGNOSE NOT ONLY INFECTION, BUT ALSO THE PHASE OF INFECTION AND CAN DELIVER A RESULT AT MUCH SMALLER VIRAL LOADS ..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      THIS IS IMPORTANT WHEN 55% OF PEOPLE DO NOT SHOW SYMPTOMS OF COVID-19 VIRUS AND THERE IS PRESYMPTOMATIC AND ASYMPTOMATIC TRANSMISSION
      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      https://www.youtube.com/watch?v=jo5Wla2VLC0

      https://www.youtube.com/watch?v=iqPuiZiq4io

      capt ajit vadakayil
      ..

    Aye Capitan,

    Few days before lockdown i was fortunate to be in dairy in mumbai along with my friend and i saw a humped cow ready to urinate i saw that golden oppurtunity and ran towards her and drank the urine handfull and forced my friend to have it too, poor guy he had it with nasty face, but i loved it, in next fe moments my throat was clear bcoz i had smoking cough and it went off. Indeed it was a blessing in disguise from the divine mother...

    VKV

    1. CAPT AJIT VADAKAYIL ASKS ALL FOREIGN TOURISTS..



      BEFORE YOU FLY BACK TO YOUR COUNTRIES, DRINK A TEASPOON OF FRESH HUMPED COW URINE, WITHIN TWO MINUTES OF URINE EJECTION..



      THE URINE OF HUMPED COW CONTAINS GOLD NANO COLLOIDS.. THIS IS 6200 YEAR OLD AYURVEDIC REMEDY – FOR PREVENTION/ DETECTION AND TREATMENT..
      THE SNAKE YOU SEE ON WHO ORG SYMBOL IS AYURVEDA..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      THE WHOLE PLANET IS NOW IN A SEVERE BIND, AS 55% OF COVID-19 CASES ARE ASYMPTOMATIC..

      THERE IS NO PREVENTION OR CURE FOR CORONAVIRUS TODAY.. EVEN IF IT COMES AFTER A FEW MONTHS IT IS JUST A MONEY MAKING PLOY OF KOSHER EVIL PHARMA..

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      GOLD NANO COLLID CAN BE USED TO DETECT ASYMPTOMATIC CASES ( ANTIBODY TESTS ) EVEN TODAY..

      https://statnano.com/news/67563/Antibody-Tests-Based-on-Au-Nanoparticles-Can-Detect-Coronavirus-Even-in-Asymptomatic-Cases

      capt ajit vadakayil
      ..

      1. PUT ABOVE COMMENT IN WEBSITES OF—
        IMA
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRANCE/ GERMANY/ CHINA
        GLOBAL TIMES EDITOR HU XIJIN
        IMA
        WHO
        WHO CHIEF
        US CDC
        UN
        UN CHIEF
        PMO
        PM MODI
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        EVERY COLLECTOR OF INDIA
        NCERT
        EDUCATION MINISTER/ MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEF
        CDS
        AMIT SHAH
        HOME MINISTRY CENTRE/ STATES
        CJI BOBDE
        ATTORNEY GENERAL
        LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
        ALL CHIEF JUSTICES HIGH COURTS
        I&B MINISTER / MINISTRY
        NSA
        AJIT DOVAL
        RAW
        IB
        CBI
        NIA
        ED
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        ALL INDIAN THINK TANKS
        NITI AYOG
        AMITABH KANT
        MOHANDAS PAI
        RAJEEV CHANDRASHEKHAR
        E SREEDHARAN
        WILLIAM DALRYMPLE
        KONRAED ELST
        FRANCOIS GAUTIER
        STEPHEN KNAPP
        DAVID FRAWLEY
        GVL NARASIMHA RAO
        SAMBIT PATRA
        ASHOK PANDIT
        ANUPAM KHER
        KANGANA RANAUT
        VIVEK AGNIHOTRI
        MEENAKSHI LEKHI
        SMRITI IRANI
        PRASOON JOSHI
        SWAPAN DASGUPTA
        MADHU KISHWAR
        SUDHIR CHAUDHARY
        GEN GD BAKSHI
        RSN SINGH
        ARNAB GOSWAMI
        NAVIKA KUMAR
        ANAND NARASIMHAN
        RAJDEEP SARDESAI
        SRINIVASAN JAIN
        SONAL MEHROTRA KAPOOR
        VIKRAM CHANDRA
        NIDHI RAZDAN
        FAYE DSOUZA
        ZAKKA JACOB
        RAHUL ANWAL
        RAVISH KUMAR
        PRANNOY JAMES ROY
        AROON PURIE
        VINEET JAIN
        RAGHAV BAHL
        SEEMA CHISTI
        DILEEP PADGOANKAR
        VIR SANGHVI
        KARAN THAPAR
        PRITISH NANDI
        SHEKHAR GUPTA
        SIDHARTH VARADARAJAN
        PAVAN VARMA
        RAMACHANDRA GUHA
        THAMBI SUNDAR PICHAI
        SATYA NADELLA
        CEO OF WIKIPEDIA
        QUORA CEO ANGELO D ADAMS
        QUORA MODERATION TEAM
        KURT OF QUORA
        GAUTAM SHEWAKRAMANI
        MUKESH AMBANI
        RATAN TATA
        ANAND MAHINDRA
        KUMARAMANGALAMBIRLA
        LAXMI MNARAYAN MITTAL
        AZIM PREMJI
        KAANIYA MURTHY
        RAHUL BAJAJ
        RAJAN RAHEJA
        NAVEEN JINDAL
        GOPICHAND HINDUJA
        DILIP SHANGHVI
        GAUTAM ADANI
        ABHIJIT BANNERJEE
        AMARTYA SEN
        RAGHURAM RAJAN
        MANHOHAN SINGH
        MONTEK SINGH AHLUWALIA
        CHID BABY
        SWAMY
        RAJIV MALHOTRA
        P GURUS
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        MOHANLAL
        SURESH GOPI
        NALIN KOHLI.
        UDDHAV THACKREY
        RAJ THACKREY
        CHANDAN MITRA
        SADGURU JAGGI VASUDEV
        BABA RAMDEV
        SRI SRI RAVISHANKAR
        CHETAN BHAGAT
        AMISH TRIPATHI
        DEVDUTT PATTANAIK
        THE QUINT
        THE SCROLL
        THE WIRE
        THE PRINT
        MK VENU
        MADHU TREHAN
        SANJAY HEDGE
        SHOBHAA DE
        ARUNDHATI ROY
        MADHU TREHAN
        JAIRAM RAMESH
        SHASHI THAROOR
        KAPIL SIBAL
        ABHI SEX MAANGTHA SINGVI
        TEHSEEN POONAWAALA
        SHEHZAD POONAWALA
        SANJAY JHA
        SURJEWALA
        AK ANTONY
        SONIA GANDHI
        RAHUL GANDHI
        PRIYANKA VADRA
        AK ANTONY
        PC CHACKO
        JEAN DREZE
        DIG VIJAY SINGH
        JULIO RIBEIRO
        ASADDUDIN OWAISI
        SHEHLA RASHID
        RANA AYYUB
        SUHEL SETH
        SHAZIA ILMI
        MANI SHANGARAN AIYERAN
        SALMAN KHURSHEED
        GHULAM NABI AZAD
        ENTIRE BBC GANG
        SWARA BHASKAR
        ALL HINDU STALWARTS AND ORGS
        MAMMOTTY
        DULQER SALMAN
        DHARMAWIKI
        SWAMYs BULLSHIT VIRAATS SENA
        JOHN BRITTAS
        GAIL TREDWELL
        WENDY DONIGER
        SHELDON POLLOCK
        AUDREY TRUSCHKE
        ASADUDDIN OWAISI
        FAZAL GHAFOOR
        ROMILA THAPAR
        IRFAN HABIB
        NIVEDITA MENON
        AYESHA KIDWAI
        MAJOR WORLD MEDIA

        BASTARD KANNUR HINDU BYJU ( WHO DOES NOTHING FOR THE WATAN-- HE ONLY FILLS HIS POCKETS.. VADAKAYIL CAN BRING HIS EMPIRE DOWN-- WARN HIM. )

        SPREAD ON SOCIAL MEDIA



    BELOW:   YOU DONT NEED TO DO NAMASTE TO A VIRUS, AS IT DOES NOT HAVE A SOUL WITHIN ( PART OF BRAHMAN, THE FIELD )

    http://ajitvadakayil.blogspot.com/2019/12/how-to-release-trapped-and-miserable.html



    YOU AND ME WERE SEEDED ON EARTH BY A SHIVA LINGAM ( SHIVAs PHALLUS ) BLACK METEORITE STONE , 65 MILLION YEARS AGO

    http://ajitvadakayil.blogspot.com/2019/07/shiva-lingam-meterorite-hit-65-million.html

    SHIVA , THE HINDU GOD IS  A COSMIC ALLEGORY  ..    THE EVIL WHITE HISTORIAN WROTE,  THAT SHIVA IS A RAPIST AND A CORPSE EATER LURKING IN THE CREMATION YARDS..

    http://ajitvadakayil.blogspot.com/2014/09/aghoris-corpse-eaters-of-india-capt.html







    1. https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      ONCE WHEN WATCHING A BOLLYWOOD MOVIE IN MY CABIN , WHERE HERO AND HEROINE WERE DANCING ABOUT IN ICE, WITH MY RUSSIAN CHIEF ENGINEER FROM URAL MOUNTAINS, TOLD ME “ THIS SCENE IS STUDIO FAKE”. HE SAID THEIR BREATH IS NOT GENERATING FOG.

      WHEN YOU GO OUTSIDE AND IT’S REALLY COLD OUT AND YOU SEE YOUR BREATH FOG — THAT’S RESPIRATORY DROPLETS..

      THE MEASLES VIRUS, IS SO INCREDIBLY CONTAGIOUS AS IT TRANSMITS VIA EXHALED BREATH AEROSOL.

      AN EXHALED MEASLES PATHOGEN CAN HANG SUSPENDED IN A ROOM FOR A COUPLE HOURS AFTER AN INFECTED PERSON LEAVES..

      CORONAVIRUS IS NO DIFFERENT

      AIRBORNE SPREAD HAPPENS WHEN A GERM FLOATS THROUGH THE AIR AFTER A PERSON TALKS OR BREATHES ..

      DROPLET SPREAD HAPPENS WHEN GERMS TRAVELING INSIDE DROPLETS THAT ARE COUGHED OR SNEEZED FROM A SICK PERSON ENTER THE EYES, NOSE, OR MOUTH OF ANOTHER PERSON.

      COVID-19 VIRUS CAN REMAIN INFECTIOUS IN SMALL PARTICLE AEROSOLS, AND CAN TRANSIT ACROSS ROOMS VIA AC DUCTS ON INTERNAL RECIRC..

      USELESS WHO ( AGENTS OF KOSHER EVIL PHARMA ), IN ITS GENERAL COMMUNICATIONS WITH THE PUBLIC ON SUCH PLATFORMS AS TWITTER, HAS STATED THAT THE VIRUS "IS NOT AIRBORNE" AND THAT IT IS MAINLY TRANSMITTED "THROUGH DROPLETS GENERATED WHEN AN INFECTIOUS PERSON COUGHS, SNEEZES OR SPEAKS..

      "THIS IS NOT THE WHO'S OPINION ON ITS OWN. THE WHO PROVIDES SUCH GUIDELINES THROUGH ITS NETWORKS OF SCIENTIFIC EXPERTS FROM AROUND THE WORLD," CHOOTIYA WHO SPAKE..

      I AM WONDERING IS IF SHOULD STICK TO MY PERSONAL POLICY OF STOPPING COMMENTING ON MEDICAL MATTERS..

      capt ajit vadakayil
      ..


    MODI, HARDH VARDHAN BE WARNED -- AS MANY AS 60 PERCENT OF PEOPLE WITH COVID-19 AREN’T AWARE THEY HAVE THE VIRUS


    FACE MASKS ARE EVEN MORE IMPORTANT NOW BECAUSE OF THE NUMBER OF ASYMPTOMATIC CARRIERS WHO ARE IN PUBLIC.

    ITS GONNA BE A LONG HAUL..  A MARATHON..


    IF THERE IS A SINGLE MUSLIM IN ANY MOSQUE IN BENGAL NEXT FRIDAY,  DISMISS THE MAMATA GOVT USING NSA AND CHARGE HER WITH TREASON .    

    BALLS TO SABKA VISHWAAS


    CREMATE THE DEAD..NO SENTIMENTS.. NO ELABORATE FUNERALS..


    WARNING:   DO NOT STOP FOOD PRODUCTION 


    CRITICAL:  PRESERVE PERISHABLE FOOD USING OZONE . 


    WHEN THE SMOKE CLEARS , INDIA MUST BE THE "LAST MAN STANDING "










    1. CAN A BLOGGER SAVE THE PLANET?

      I ASK-- WHEN US PRESIDENT/ WHO CHIEF/ US CDC/ INDIAN HEALTH MINISTER/ WORLD MEDIA SAID WEARING MASK IS NOT NECESSARY FOR HEALTHY PEOPLE WHO WAS THE FIRST TO OBJECT?
      AFTER A SEND A STINKER TO ALL ABOVE PARTIES ( TELLING THEM ABOUT TYPHOID MARY/ VIETNAM ROSE ASYMPTOMATIC CARRIERS ) FOUR DAYS LATER WHO/ CDC DID A DISGRACEFUL U TURN..

      ########################

      Capt. Ajit Vadakayil March 31, 2020 at 6:47 PM

      JUST NOW I HEARD BENAMI NEWS CHANNELS DOING CONSTANT DECLARATIONS " HEALTH MINISTER OF INDIA HAS ANNOUNCED THAT ONLY PEOPLE INFECTED WITH CORONAVIRUS ( 1195 PEOPLE ) IN INDIA MUST WEAR MASKS, REST ( 134O MILLION ) NEED NOT , IN PUBLIC "

      IF I WERE NSA AJIT DOVAL, I WILL IMMEDIATELY ARREST HARSHVARDHAN AND JAIL HIM..

      INDIA IS THIS PLANETs OLDEST CIVILIZATION.. CANT WE THINK FOR OURSELVES..

      WHY ARE WE REPEATING WHAT WHITE JEWS ( WHO HAVE VESTED INTERESTS ) TELL US ?..

      WHO IS TELLING THIRD WORLD NATIONS WITH LARGE POPULATIONS NOT TO WEAR MASKS.. BUT IN WHITE NATIONS EVERYBODY ON THE STREETS IS WEARING MASKS.. WE KNOW FROM OUR SOURCES..

      HEY HARDHVARDHAN, HAVE YOU EVERY HEARD OF "TYPHOID MARY?"


      HEY MODI, HAVE YOU EVER HEARD OF "VIETNAM ROSE"..
      LET ME SPELL OUT HISTORY..

      IN VIETNAM THE AMERICAN SOLDIER DID NOT WANT TO WEAR CONDOMS WHEN HAVING SEX IN US MILITARY APPROVED "COMFORT STATIONS" ..

      THE RULE BECAME " ONLY IF YOU HAVE SYPHILIS YOU NEED TO DON CONDOMS "

      WHEN VIETCONG HEARD ABOUT THIS, THEY COLLECTED ATTRACTIVE ASYMPTOMATIC FEMALES , WHO WERE NOT WHORES.. THEY WERE INDUCTED IN US MILITARY APPROVED WHOREHOUSES OF SAIGON.. THESE WOMEN WERE TRUE MARTYRS...

      AS SOON AS THE AMERICAN SOLDIER HAD SEX, WITHIN THREE DAYS HE COULD NOT PEE.. HE HAS TO BE FLOWN BACK TO USA.. A FEW DAYS LATER THE TIP OF THEIR PRICKS LOOKED LIKE RED ROSES..THEY ALL WERE U=OUT OF ACTION FOR THE REST OF THE WAR.. SEE THERE IS NO NEED TO KILL.

      IN WUHAN THERE ARE MANY CHINESE DOCTORS WHO HAVE BEEN INFECTED BY AN ASYMPTOMATIC PATIENTS.

      ASYMPTOMATIC CASES REMAIN UNDIAGNOSED AND THEREFORE UNQUARANTINED.

      WE STILL DONT HAVE SERUM TESTS TO TEST SUCH SLEEPER PASSIVE CARRIERS..

      UNDETECTED, ASYMPTOMATIC PATIENTS COULD CREATE FRESH TRANSMISSION ROUTES ONCE LOCKDOWNS ARE EASED.. WE ARE IN FOR A LONG HAUL..

      DIAMOND PRINCESS CRUISE SHIP OUTBREAK SHOWED THAT 35 OF THE 104 INFECTED PASSENGERS REMAINED ASYMPTOMATIC EVEN AFTER AN AVERAGE OF 10 DAYS OF OBSERVATION AT THE SELF-DEFENSE FORCES CENTRAL HOSPITAL IN JAPAN.

      ON MARCH 23 2020 , THE HEALTH MINISTRY OF IN THE SOUTHWESTERN CHINESE CITY OF CHONGQING, SAID 18% OF PATIENTS WERE ASYMPTOMATIC.

      EXISTENCE OF PRESYMPTOMATIC (ASYMPTOMATIC) PATIENTS MEANT THAT SCREENING PROCEDURES AT AIRPORTS AND OTHER POINTS OF ENTRY WERE INSUFFICIENT TO PREVENT THE CORONAVIRUS FROM SPREADING.. THIS IS WHY THERE MUST BE ESTABLISHED QUARANTINE PROCEDURES AT INDIAN AIRPORTS FROM WHICH COVID-19 GAVE ENTRY..

      JUST ONE TWO SECOND TEMPERATURE CHECK IS NOT ENOUGH.

      CHILDREN WHO EAT GOOD ORGANIC FOOD ARE LESS SICK FROM COVID-19, BUT MAY STILL SPREAD THE CORONAVIRUS.. THIS CHILD CAN SPREAD THE DISEASE TO A MALNOURISHED FEEBLE CLASSMATE..

      CHILDREN WORLDWIDE RARELY HAVE SEVERE SYMPTOMS WHEN INFECTED BY COVID-19

      TRUE NUMBER OF INFECTIONS IN USA - MANY WITH MILD OR NO SYMPTOMS - IS FAR HIGHER THAN ESTABLISHED..

      AGAIN, AN ASYMPTOMATIC CARRIER (HEALTHY CARRIER OR JUST CARRIER) IS A PERSON OR OTHER ORGANISM THAT HAS BECOME INFECTED WITH A PATHOGEN, BUT THAT DISPLAYS NO SIGNS OR SYMPTOMS.

      ALTHOUGH UNAFFECTED BY THE PATHOGEN, CARRIERS CAN TRANSMIT IT TO OTHERS HOW CERTAIN PATHOGENS CAN REMAIN DORMANT IN A HUMAN FOR A PERIOD OF TIME.


      CONTINUED TO 2--
      1. CONTINUED FROM 1--

        A COMMON PRINCIPLE IN EPIDEMIOLOGY, THE 80–20 RULE, SPECULATES THAT 80% OF THE DISEASE TRANSMISSION IS CONDUCTED BY ONLY 20% OF PEOPLE IN A POPULATION

        WE WATCH.. HARSHVARDHAN BE YOUR OWN MAN.. DONT BE A SLAVE OF MODI WHO IS NOW IN FROZEN BRAIN MODE..

        https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

        EVER HEARD OF COMFORT STATIONS MANNED BY PRE-TEEN DEVADASIS ?

        http://ajitvadakayil.blogspot.com/2014/02/devadasi-system-immoral-lie-of-temple.html

        capt ajit vadakayil
        ..
        ####################################

        Capt. Ajit Vadakayil April 1, 2020 at 7:32 PM

        https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

        ICELAND HAS MADE THE MISTAKE OF NOT ENFORCING A CORONAVIRUS LOCKDOWN.. PEOPLE HAVE NOT BEEN WEARING MASKS..

        I PREDICT 95% OF ICELAND POPULATION WILL GET INFECTED .. ALMOST ALL WILL BE ASYMPTOMATIC CARRIERS .. AND NO NATION WILL ALLOW THEM ENTRY..

        REASON: THEIR DIET IS RICH IN COLD WATER FISH WITH HIGH QUALITY OMEGA 3 POLYUNSATURATED FATTY ACIDS..

        TAKING OMEGA 3 FISH OIL CAPSULES IS NO USE.. MY SHIP HAD TAKEN A SHIP LOAD OF PERUVIAN TROPICAL FISH OIL TO DENMARK, WHERE THEY CRIMINALLY PACKAGE IT AS COLD WATER FISH OMEGA 3 OILS..

        THERE ARE ONLY TWO HEALTHY FATS .. HUMPED COW GHEE AND VIRGIN COCONUT OIL.

        http://ajitvadakayil.blogspot.com/2012/08/coconut-oil-is-good-for-cooking-ignore.html

        CORRUPT MINISTERS OF KERALA HAVE ENSURED NOBODY CONSUME VIRGIN COCONUT OIL, IN A LAND OF COCONUTS. SO THAT THEY CAN GET KICKBACKS FROM MALAYSIA PALM OIL EXPORTERS..

        capt ajit vadakayil
        ..

        #################################

        ARE THERE NO INTELLIGENT PEOPLE ON THIS PLANET?

        capt ajit vadakayil
        ..


    1. I WAS THE FIRST TO WARN WHO/ CDC/ HEALTH MINISTER/ PM MODI ABOUT THE DANGERS OF NOT WEARING MASKS

      TELLING THEM THERE IS SOMETHING CALLED ASYMPTOMATIC CARRIER

      FOR EXAMPLE , IN THE CRUISE SHIP DIAMOND PRINCESS 95% OF ALL THOSE WHO WALKED OUT WITHOUT BEING INFECTED WITH COVID-19, COULD BE ASYMPTOMATIC CARRIERS..

      THE SHIPs AC FILTERS ( RECIRC) ARE INCAPABLE OF FILTERING THE VIRUS IN THE AIR..

      DIAMOND PRINCESS WAS THE FIRST CRUISE SHIP TO HAVE A MAJOR OUTBREAK ON BOARD, WITH THE SHIP QUARANTINED AT YOKOHAMA FOR ROUGHLY A WHOLE MONTH. OVER 700 PEOPLE WERE INFECTED, AND 12 PEOPLE DIED. AT THE TIME, THE SHIP ACCOUNTED FOR OVER HALF THE REPORTED CASES OF SARS-COV-2 OUTSIDE OF CHINA.

      BEING A SHIP CAPTAIN FOR 30 YEARS , I KNOW...

      WHO CHIEF MUST BE SACKED.. HE HAS MISMANAGED THIS PANDEMIC..

      US CDC MUST BE PURGED OF ALL EVIL KOSHER PHARMA AGENTS

      IT’S STANDARD PRACTICE FOR THE AIR CONDITIONING SYSTEMS OF CRUISE SHIPS TO MIX OUTSIDE AIR WITH INSIDE AIR TO SAVE ENERGY FOR ENERGY CONSERVATION DURING NORMAL TIMES..

      THE CAPTAIN OF THE SHIP MUST BE SHOT WITH HIS OWN SHIT.. HE COULD HAVE MINIMIZED THIS PROBLEM BY JUST USING OUTSIDE AIR AND NOT RECIRCULATING IT.

      THE PROBLEM IS THAT THESE SYSTEMS CAN’T FILTER OUT PARTICLES SMALLER THAN 5,000 NANOMETERS. TO FILTER CORONAVIRUS A “CORRUGATED” MESH OF LESS THAT 90 NANOMETERS IS REQUIRED..

      WILL POST PART 2 OF THE POST BELOW SOON—

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      WATCH THIS SPACE

      capt ajit vadakayil
      ..

    1. ROOT CAUSE ANALYSIS COVID-19 PANDEMIC.

      ####################################

      WHO HAS FAILED TO CONTAIN CORONAVIRUS..

      THE FIRST ORDER OF WHO SHOULD HAVE BEEN TO RE-DESIGN AND STANDARDIZE HEPA AIR FILTERS ( HIGH-EFFICIENCY PARTICULATE AIR ) OF PASSENGER AIRCRAFT..

      THIS COVID-19 PANDEMIC WAS SPREAD WORLDWIDE BY INTERNATIONAL AIRCRAFT..IT IS HE MAIN CULPRIT..

      COVID-19 VIRUS NEED LESS THAT 0.06 MICRON HEPA FILTERS..

      HEPA FILTERS MUST BE DISCARDED AFTER EVERY TRIP ..

      THIS FILTER CANNOT BE A SHEET, IT MUST BE CORRUGATED TO HANDLE THE VOLUME OF AIRFLOW THROUGH THE MESH..

      HAS ANY AIRLINE COMPANY MAINTAINED A HEPA FILTER MAINTENANCE ORDER SHEET SIGNED AND DATED .. DO THEY HAVE EVIDENCE .. THE ANSWER IS NO..

      THE USED HEPA FILTER SHOULD BE PLACED AND SEALED IN A PLASTIC BAG. A SPECIFIC BIOHAZARD BAG IS A MUST.

      AN AUXILIARY POWER UNIT MUST BE Y USED TO PROVIDE VENTILATION WHEN THE AIRCRAFT IS ON THE GROUND, BEFORE THE MAIN ENGINES ARE STARTED..

      AIRCRAFT MUST HAVE RECIRCULATION SYSTEMS, WHICH RECYCLE LESS THAN 20% OF CABIN AIR... SAME WITH CRUISE SHIPS.
      EVERY AIRCRAFT MUST HAVE A HUMIDIFIER TO KEEP HUMIDITY MORE THAN 60% DURING TIMES OF PANDEMIC .. LOW HUMIDITY IS A FRIEND OF COVID-19 VIRUS..

      EVERY QUARANTINE SHORE HOSPITAL MUST GIVE SPECIAL ATTENTION TO ABOVE VENTILATION REQUIREMENTS..

      NEGATIVE ION GENERATOR ( WATER IONISER ) IN QUARANTINE HOSPITALS IS A MUST..

      ALL VIRUSES HAVE A POSITIVE DIPOLE CHARGE. NEGATIVE IONS ATTACHED ITSELF TO IT AND ENLARGES THE VIRUS. VIRUSES ARE SO TINY THAT OUR LUNGS CANT PULL THEM OUT, UNLESS THEY ARE ENLARGED.

      NEGATIVE ION IS AN OXYGEN ATOM WITH AN EXTRA ELECTRON.

      BASICALLY THESE MACHINES USE HIGH VOLTAGE TO IONIZE OR ELECTRICALLY CHARGE AIR MOLECULES—THEY HAVE AN EXTRA ELECTRON, TO DONATE TO ELECTRON WRENCHING FREE RADICALS.

      INHALING NEGATIVE IONS REGULATES THE PRODUCTION OF SEROTONIN IN YOUR BRAIN. IT CONTROLS DEPRESSION AND IS A BETTER WAY THAN THE USE OF MEDICINES LIKE PROZAC WHICH HAVE SIDE EFFECTS

      OZONE MUST BE USED TO DISINFECT HOSPITALS..

      http://ajitvadakayil.blogspot.com/2013/06/unsung-ozone-for-instant-prevention-and.html

      NEGATIVE IONS AND OZONE ARE NATURE’S MOST POWERFUL AIR CLEANSERS. THERE IS NOTHING ON THIS PLANET MORE EFFECTIVE THAN A NEGATIVE ION GENERATOR AND OZONISER TO CLEANSE THE AIR WE BREATHE, BY REMOVING ALLERGENS AND CONTAMINANTS.

      FOR HUMAN BEINGS MAKE SURE THE OZONE CONCENTRATION DOES NOT EXCEED 0.15 PPM. AT THIS STAGE YOU CAN SMELL OZONE. SO FAR NO HUMAN DEATHS HAVE BEEN ATTRIBUTED TO OZONE.

      capt ajit vadakayil
      ..
    N95 RESPIRATORS ARE REQUIRED TO PROTECT DOCTORS AND NURSES IN QUARANTINE CENTERS ..



    N: THIS IS A RESPIRATOR RATING LETTER CLASS. IT STANDS FOR “NON-OIL” MEANING THAT IF NO OIL-BASED PARTICULATES ARE PRESENT, THEN YOU CAN USE THE MASK IN THE WORK ENVIRONMENT. OTHER MASKS RATINGS ARE R (RESISTANT TO OIL FOR 8 HOURS) AND P (OIL PROOF).

    95: MASKS ENDING IN A 95, HAVE A 95 PERCENT EFFICIENCY. MASKS ENDING IN A 99 HAVE A 99 PERCENT EFFICIENCY. MASKS ENDING IN 100 ARE 99.97 PERCENT EFFICIENT AND THAT IS THE SAME AS A HEPA QUALITY FILTER.

    0.3 MICRONS: THE MASKS FILTER OUT CONTAMINANTS LIKE DUSTS, MISTS AND FUMES. THE MINIMUM SIZE OF  0.3 MICRONS OF PARTICULATES AND LARGE DROPLETS WON’T PASS THROUGH THE BARRIER, ACCORDING TO THE CENTERS FOR DISEASE CONTROL AND PREVENTION (CDC.)

    MATERIAL: THE FILTRATION MATERIAL ON THE MASK IS AN ELECTROSTATIC NON-WOVEN POLYPROPYLENE FIBER.

    VALVE: SOME DISPOSABLE N95 MASKS COME WITH AN OPTIONAL EXHALATION VALVE. “THE PRESENCE OF AN EXHALATION VALVE REDUCES EXHALATION RESISTANCE, WHICH MAKES IT EASIER TO BREATHE (EXHALE,)” ACCORDING TO THE CDC.


    REDUCES WEARER’S EXPOSURE TO PARTICLES INCLUDING SMALL PARTICLE AEROSOLS AND LARGE DROPLETS (ONLY NON-OIL AEROSOLS .    

    N95 MASKS AFFORD A TIGHT FACIAL FIT . WHEN PROPERLY FITTED AND DONNED,  NO LEAKAGE OCCURS AROUND EDGES  OF THE RESPIRATOR WHEN USER INHALES


    NEW RESEARCH PUBLISHED BY THE CDC COUPLE OF DAYS AGO, SUGGESTS THAT PRESYMPTOMATIC AND ASYMPTOMATIC PEOPLE INFECTED WITH THE CORONAVIRUS COULD PASS THE VIRUS TO OTHER INDIVIDUALS

    WEARING A MASK IN PUBLIC WILL HELP CUT DOWN ON CORONAVIRUS TRANSMISSION FROM PEOPLE WHO AREN'T SYMPTOMATIC,

    AN ASYMPTOMATIC CARRIER (HEALTHY CARRIER OR JUST CARRIER) IS A PERSON OR OTHER ORGANISM ( SAY A PET DOG ) THAT HAS BECOME INFECTED WITH A PATHOGEN, BUT THAT DISPLAYS NO SIGNS OR SYMPTOMS.

    ALTHOUGH UNAFFECTED BY THE PATHOGEN, CARRIERS CAN TRANSMIT IT TO OTHERS OR DEVELOP SYMPTOMS IN LATER STAGES OF THE DISEASE. ASYMPTOMATIC CARRIERS PLAY A CRITICAL ROLE IN THE TRANSMISSION OF COMMON INFECTIOUS DISEASES SUCH AS TYPHOID, C. DIFFICILE, INFLUENZAS, COVID-19 TUBERCULOSIS, AND HIV. HOW CERTAIN PATHOGENS CAN REMAIN DORMANT IN A HUMAN FOR A PERIOD OF TIME

    IF YOU ARE TRULY ASYMPTOMATIC THAT MEANS YOU ARE INFECTED WITH A VIRUS, BUT YOU NEVER EXHIBIT SYMPTOMS OF DISEASE. IN THE CASE OF THE CORONAVIRUS, THOSE COMMON SYMPTOMS WOULD BE DRY COUGH, FEVER, AND FATIGUE., PEOPLE WITH THE CORONAVIRUS WHO ARE ASYMPTOMATIC ARE STILL CONTAGIOUS.

    MORE THAN 52 PERCENT OF YOUNG HEALTHY PEOPLE WITH THE CORONAVIRUS MAY BE ASYMPTOMATIC.

    CORONAVIRUS PATIENTS ON THE DIAMOND PRINCESS CRUISE SHIP, WHICH WAS QUARANTINED IN JAPAN IN FEBRUARY. OF THE 3,711 PEOPLE ONBOARD, 712 TESTED POSITIVE, BUT ALMOST 50 PERCENT OF THEM HAD NO SYMPTOMS AT THE TIME.

    SYMPTOMATIC TRANSMISSION REFERS TO TRANSMISSION FROM A PERSON WHILE THEY ARE EXPERIENCING SYMPTOMS

    AN ASYMPTOMATIC LABORATORY-CONFIRMED CASE IS A PERSON INFECTED WITH COVID-19 WHO DOES NOT DEVELOP SYMPTOMS.

    ASYMPTOMATIC TRANSMISSION REFERS TO TRANSMISSION OF THE VIRUS FROM A PERSON, WHO DOES NOT DEVELOP SYMPTOMS.
      
    MANY CASES HAVE BEEN MISCLASSIFIED AS ASYMPTOMATIC, WHEN IN FACT THEY WERE “PRESYMPTOMATIC.” PEOPLE WHO ARE PRESYMPTOMATIC HAVE NO SYMPTOMS WHEN THEY TEST POSITIVE, BUT GO ON TO DEVELOP SYMPTOMS.

    NOW-- ON THE SEMANTICS DEBATE BETWEEN ASYMPTOMATIC AND PRESYMPTOMATIC,  THE BOTTOM LINE IS THAT THERE ARE PEOPLE OUT THERE SHEDDING THE VIRUS WHO DON’T KNOW THAT THEY’RE INFECTED.

    THE INCUBATION PERIOD FOR COVID-19, WHICH IS THE TIME BETWEEN EXPOSURE TO THE VIRUS (BECOMING INFECTED) AND  SYMPTOM ONSET, IS ON AVERAGE 5-6 DAYS, 

    HOWEVER CAN BE UP TO 14 DAYS. DURING THIS PERIOD, ALSO KNOWN AS THE “PRESYMPTOMATIC” PERIOD, SOME INFECTED PERSONS CAN BE CONTAGIOUS. THEREFORE, TRANSMISSION FROM A PRE-SYMPTOMATIC CASE CAN OCCUR BEFORE SYMPTOM ONSET. 

    IT IS IMPORTANT TO RECOGNIZE THAT PRE-SYMPTOMATIC TRANSMISSION STILL REQUIRES THE VIRUS TO BE SPREAD VIA INFECTIOUS DROPLETS OR THROUGH TOUCHING CONTAMINATED SURFACES..

    IN THE WHO STUDY, 75% OF PEOPLE IN CHINA WHO WERE FIRST CLASSIFIED AS ASYMPTOMATIC LATER DEVELOPED SYMPTOMS

    TECHNICALLY, "PRESYMPTOMATIC TRANSMISSION" IS WHAT'S PROBABLY COMMON ..
    THE CORONAVIRUS CAN SPREAD ABOUT ONE TO THREE DAYS BEFORE SYMPTOMS START,

    PRESYMPTOMATIC TRANSMISSION MIGHT OCCUR THROUGH GENERATION OF RESPIRATORY DROPLETS OR POSSIBLY THROUGH INDIRECT TRANSMISSION. SPEECH AND OTHER VOCAL ACTIVITIES SUCH AS SINGING HAVE BEEN SHOWN TO GENERATE AIR PARTICLES, WITH THE RATE OF EMISSION CORRESPONDING TO VOICE LOUDNESS

    PRESYMPTOMATIC TRANSMISSION WAS DEFINED AS THE TRANSMISSION OF SARS-COV-2 FROM AN INFECTED PERSON (SOURCE PATIENT) TO A SECONDARY PATIENT BEFORE THE SOURCE PATIENT DEVELOPED SYMPTOMS, AS ASCERTAINED BY EXPOSURE AND SYMPTOM ONSET DATES, WITH NO EVIDENCE THAT THE SECONDARY PATIENT HAD BEEN EXPOSED TO ANYONE ELSE WITH COVID-19.

    WE NOW KNOW FROM RECENT STUDIES THAT A SIGNIFICANT PORTION OF INDIVIDUALS WITH CORONAVIRUS LACK SYMPTOMS (‘ASYMPTOMATIC’) AND THAT EVEN THOSE WHO EVENTUALLY DEVELOP SYMPTOMS (‘PRE-SYMPTOMATIC’) CAN TRANSMIT THE VIRUS TO OTHERS BEFORE SHOWING SYMPTOMS,” THE CDC’S WEBPAGE SAYS

    WHAT THE FUCK TOOK THEM SO LONG?


    IN USA 60 HEALTHY CHOIR MEMBERS GATHERED TO SING AND DOZENS LATER BECAME ILL WITH THE VIRUS. 

    ON SHALOM TV CHRISTIAN EVANGELIST CHANNEL ( CRYPTO JEW TV )  I SAW THE ENTIRE HALL SITTING CHEEK BY JOWL , LOUD SINGING LOUD SONGS ABOUT HOW EASILY AND SURELY JESUS CHRIST CAN SAVE CHRISTIANS FROM CORONAVIRUS.  MIND YOU JESUS CHRIST WAS COOKED UP IN 325 AD BY JEWESS HELENA..

    DO YOU HAVE ANY IDEA HOW SOME CHRISTIAN EVANGELISTS WHIP UP FRENZY ?   I AM SURE MANY WOULD BE SCRAPING OFF SHIT FROM THEIR UNDIES  WHEN THEY REACH HOME.   IN MALAYALAM WE CALL THIS “ MOOLAM THURTHI POYI ” ( BOTTOM GATE BREACHED )

    PRESYMPTOMATIC TRANSMISSION MIGHT  THROUGH GENERATION OF RESPIRATORY DROPLETS OR POSSIBLY THROUGH INDIRECT TRANSMISSION   SPEECH AND OTHER VOCAL ACTIVITIES SUCH AS SINGING HAVE BEEN SHOWN TO GENERATE AIR PARTICLES, WITH THE RATE OF EMISSION CORRESPONDING TO VOICE LOUDNESS.


    AN ITALIAN VILLAGE AT THE EPICENTRE OF THE OUTBREAK SHOWED THAT 76 % WERE ASYMPTOMATIC,

    EVERY MODEL CREATED BY WHO / CDC IS NOT WORTH THE GARBAGE BIN IT IS THROWN INTO ( JUST LIKE PARIS COP 21 ) 


    CAPT AJIT VADAKAYIL WARNS WHO/ US CDC ( U.S. CENTERS FOR DISEASE CONTROL AND PREVENTION)  ANYONE COULD BE A CARRIER— EXCEPT PLACES DEEP IN AFRICA WHERE AIRPLANES FROM WEST HAVE NOT LANDED YET



    ..

    THE CORONAVIRUS HAS A LONG INCUBATION PERIOD, WITH MANY PEOPLE NOT SHOWING SYMPTOMS FOR AN AVERAGE OF FIVE DAYS AFTER INFECTION.

    EVEN WHEN THERE ISN’T A PANDEMIC GOING ON, MANY PEOPLE ARE WALKING AROUND AND GOING ABOUT THEIR REGULAR LIVES — SHEDDING VIRUSES ALL THE WHILE.

    AND IT DOES NOT HELP WHEN THEY KEEP SHAKING HANDS AND HUGGING PEOPLE.. IN INDIA WE DO NAMASTE ..   HINDU ELDERS BLESS ONE INCH ON TOP OF THE HEAD WITHOUT TOUCHING

    ESTIMATING THE PROPORTION OF PEOPLE WHO'VE BEEN INFECTED WITH THE CORONAVIRUS BUT DON'T HAVE SYMPTOMS IS A PRIORITY FOR MAPPING BY AI/ BIG DATA IN INDIA

    MEDICAL INSTITUTIONS MUST REPORT DETECTION OF ASYMPTOMATIC CASES WITHIN TWO HOURS OF THEIR DISCOVERY. LOCAL GOVERNMENTS MUST THEN IDENTIFY ALL KNOWN CLOSE CONTACTS OF THE CASE WITHIN 24 HOURS.

    PEOPLE WHO HAVE HAD CLOSE CONTACT WITH THEM MUST ALSO BE QUARANTINED FOR TWO WEEKS. 

    ASYMPTOMATIC CARRIERS  STILL TRANSMIT CORONAVIRUS ..  WHO DECLARED THE COVID-19 OUTBREAK A PUBLIC HEALTH EMERGENCY OF INTERNATIONAL CONCERN ON JANUARY 30, 2020.  WHO CUNTS CLASSIFIED THE DISEASE AS A PANDEMIC ONLY ON MARCH 11, 2020.
    MEN AND WOMEN ARE EQUALLY AFFECTED.

    THE VIRUS  SARS-COV-2 IS A POTENTIALLY LETHAL TYPE OF CORONAVIRUS, A SUBFAMILY OF ENVELOPED NONSEGMENTED POSITIVE-SENSE RNA VIRUSES THAT USUALLY CAUSE MILD RESPIRATORY TRACT INFECTIONS.

    SPECIFICALLY, IT IS A Β-CORONAVIRUS. THE OTHER TWO Β-CORONAVIRUSES WERE SARS-COV AND MERS-COV, WHICH BOTH ALSO CAUSED OUTBREAKS OF POTENTIALLY FATAL RESPIRATORY TRACT INFECTIONS IN 2003 AND 2012, RESPECTIVELY. 

    SARS-COV-2 SHARES 79.5% IDENTITY TO THE SARS-COV GENOME.

    THE TRANSMISSION OF SARS-COV-2 BY ASYMPTOMATIC INDIVIDUALS CAN OCCUR, BUT INDIVIDUALS ARE MOST CONTAGIOUS WHEN THEY ARE SYMPTOMATIC

    VIRUS-INDUCED DAMAGE, PARTICULARLY TO THE ALVEOLAR EPITHELIUM
    OTHER ORGANS, ESPECIALLY THE LIVER, CAN BE AFFECTED

    THE ALVEOLI ARE LOCATED IN THE ALVEOLAR SACS OF THE LUNGS IN THE PULMONARY LOBULES OF THE RESPIRATORY ZONE, REPRESENTING THE SMALLEST FUNCTIONAL UNITS IN THE RESPIRATORY TRACT. THEY ARE ALSO PRESENT IN THE RESPIRATORY BRONCHIOLES AS SCATTERED OUTPOCKETS, EXTENDING FROM THEIR LUMENS.

    THE RATE OF TRANSMISSION SEEMS TO BE WHAT MAKES COVID-19 A MORE SERIOUS THREAT THAN AN EARLIER ITERATION OF A CORONAVIRUS OUTBREAK, A TRANSMISSION RATE AIDED BY CARRIERS WHO ARE ASYMPTOMATIC, 

    IT’S DETECTABLE IN OR ON AEROSOLS FOR UP TO 3 HOURS, COPPER FOR UP TO 4 HOURS, CARDBOARD FOR UP TO 24 HOURS, AND PLASTIC AND STAINLESS STEEL FOR UP TO 2 TO 3 DAYS. 

    75 PERCENT OF PEOPLE IN CHINA WHO WERE FIRST CLASSIFIED AS ASYMPTOMATIC LATER DEVELOPED SYMPTOMS, . THAT MEANS, TECHNICALLY, "PRESYMPTOMATIC TRANSMISSION" IS WHAT'S PROBABLY COMMON. 

    PRESYMPTOMATIC PEOPLE ARE SHEDDING THE HIGHEST AMOUNT OF THE VIRUS ..
    AN ESPECIALLY TROUBLING ASPECT OF PRESYMPTOMATIC TRANSMISSION IS THAT PEOPLE SEEM TO SHED MORE CORONAVIRUS IN THE EARLIER STAGES OF THEIR INFECTION. BUT THE AVERAGE SYMPTOM ONSET TAKES FIVE DAYS. 

    A SARS PATIENT, BY CONTRAST, SHEDS THE MOST VIRUS AROUND SEVEN TO 10 DAYS AFTER GETTING VISIBLY SICK.

    WEARING MASKS COULD HELP REDUCE PRESYMPTOMATIC TRANSMISSION
    IN ANYANG, CHINA, FIVE MEMBERS OF A FAMILY CAME DOWN WITH THE CORONAVIRUS AFTER HOSTING A GUEST FROM WUHAN IN EARLY JANUARY. BUT THE VISITOR, A 20-YEAR-OLD WOMAN, NEVER GOT SICK HERSELF.





    NEW YORK IS FULL OF PET DOGS.

    OWNERLESS DOGS ARE NOW POURING INTO DOG SHELTERS ( UNFORTUNATE ONES WERE PUT TO SLEEP BY VETS )

    COVID-19 VIRUS THRIVES IN DOG FUR..

    REMEDY-- GIVE DOGS A SUNBATH , AND THEN GIVE THEM A BATH IN SHAMPOO WITH COPIUS WATER..

    DOGS ARE ASYMPTOMATIC CARRIERS..

    capt ajit vadakayil
    ..



    LAST WEEK, THE US CENTERS FOR DISEASE CONTROL AND PREVENTION ISSUED NEW FACE-MASK GUIDANCE, ( 4 DAYS AFTER GETTING KICKED ON THE BUTT BY VADAKAYIL  ) ENCOURAGING EVERYONE TO WEAR CLOTH FACE COVERINGS WHEN IN PUBLIC.   

    THE REASONING ?:  “WE WE WE NOW KNOW FROM RECENT STUDIES THAT A SIGNIFICANT PORTION OF INDIVIDUALS WITH CORONAVIRUS LACK SYMPTOMS,” AND THAT THOSE INDIVIDUALS CAN TRANSMIT THE VIRUS TO OTHERS.

    https://www.worldometers.info/coronavirus/
    CDC IS PACKED WITH AGENTS IN EVIL PHARMA PAYROLL. 

    THEY WANT THE WHOLE PLANET TO BE GIVEN FLU SHOTS..   THIS IS PERENNIEAL MONEY MAKING FOR THE JEWS ..     

    THE JEWISH DEEP STATE  HAS FAILED WITH  CARBON OFFSET/  CAP & TRADE BULLSHIT WHERE THEY HOPED TO MAKE MONEY OUT OF THIN AIR ..

    BUT HEY—  FLU  STRAINS MUTATE EVERY SEASON

    Read all 4 parts ..




    1. https://www.worldometers.info/coronavirus/

      COVID -19 HAS SHOWN AMERICA THE HARD WAY HOW AMERICAN EXCEPTIONALISM CHICKEN CAN COME HOME TO ROOST..

      EVEN DURING THIS HOUR OF PANDEMIC CHILDREN IN VENEZUELA/ NORTH KOREA/ IRAN/ YEMEN ARE DYING ..THANKS TO AMERICAN EXCEPTIONALISM SANCTIONS..

      MODI DOES NOT HAVE THE BALLS TO SEND THESE NATIONS SOME LIFESAVING MEDICINES..   HE MAY NOT GET THE JEWISH NOBEL PRIZE..

      AMERICAN EXCEPTIONALISM IS ROOTED IN TERRIFIC IGNORANCE OF THE HILLY BILLY YANK, USED TO THE SYSTEM OF THE RIDING POSSE CHASING THE BAD OUTLAW..

      THEY TRIED TO MAKE PUTIN THIS OUTLAW AND FELL PHUTT ON THEIR FACES FROM THEIR UPPITY HORSES..

      AMERICAN SHIT DOES NOT SMELL ?.

      AMERICAN BOMBS ARE GOOD BOMBS ?  OH FUCKIN' YEAH ?

      CORONAVIRUS AS A CALAMITY HAS PROVED TO BE A GREAT LEVELER..

      FOUR GENERATIONS OF NORTH KOREANS HAVE NOT SEEN PROPER FOOD..

      http://ajitvadakayil.blogspot.com/2017/03/regime-change-in-north-korea-rare.html

      WE KNOW WHAT HAPPENED IN HIROSHIMA/ NAGASAKI..

      http://ajitvadakayil.blogspot.com/2017/03/japanese-in-hiroshima-and-nagasaki.html

      AMERICAN CHILDREN DO NOT KNOW OF FOUL CHINESE SLAVERY IN USA.. THEY ONLY MOAN OVER THE BLACK SLAVE.

      https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

      capt ajit vadakayil
      ..

    IN MARCH 2020, AT THE OUTSET OF THE CORONAVIRUS OUTBREAK IN PRESIDENT TRUMP, WHO, CDC , U.S. SURGEON GENERAL AND THE U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES URGED MEMBERS OF THE GENERAL PUBLIC TO NOT WEAR MASKS.

    ON FEB. 29 2020, THE TWITTER ACCOUNT OF THE U.S. SURGEON GENERAL TWEETED:  "SERIOUSLY PEOPLE - STOP BUYING MASKS!"



    The tweet added that masks are "NOT" effective in preventing the general public from catching the coronavirus.


    YOU'RE GENERALLY SAFE FROM BEING INFECTED WITH THE CORONAVIRUS WHEN YOU'RE OUTDOORS, SO LONG AS YOU PRACTICE SOCIAL DISTANCING AND STAY AT LEAST 6 FEET AWAY FROM THE NEAREST PERSON WHILE WEARING A MASK.

    KEEP AWAY FROM ROOMS WITH AIR CONDITIONING, UNLESS YOU WEAR A N95 MASK WITH EYE PROTECTION. 

    RECIRULATION OF ROOM AIR , TO SAVE ELECTRICITY ( ENERGY CONSERVATION ) SPREADS VOVID-19 DISEASE.




    THE APPRECIATION OF PRESYMPTOMATIC TRANSMISSION HAS BECOME EVIDENT  TO THESE LATE FUCKIN’ LATIFS BY WHICH TIME THE COVID-19 VIRUS GASSED UP AND TOOK OFF INFECTING THIS PLANET.

    WE WANT JUSTICE.


    ERRANT WHO/ CDC TOP GUNS MUST BE PUT IN THE DOG HOUSE.    

    THEY DID NOT EVEN WARN THAT AIRCRAFT AC FILTERS MUST BE MODIFIED.


    ULTIMATELY, WIDESPREAD ANTIBODY TESTING, WHICH IS STILL NOT IMMINENT, WILL BE ABLE TO TELL US HOW MANY PEOPLE HAVE ALREADY HAD COVID-19.   THIS WILL GIVE A BETTER APPROXIMATION OF THE TOTAL NUMBER OF INFECTIONS.   THIS WILL BE IMPORTANT IN MAKING DECISIONS ON LIFTING SOCIAL DISTANCING MEASURES.



    1. SUBJECT: MORE THAN 500 OF MY CRITICAL SUGGESTIONS IGNORED BY PM MODI, AS THERE IS NO EGO MASSAGE ATTACHED

      ###########################################

      PROBABLY MODI THINKS MY SUGGESTONS ARE NOT WORTH IT..

      I ASK MY READERSTO COMMENT ON THE FOLLOWING

      ##########################################

      1) WHO WAS THE FIRST MAN ON THIS PLANET TO WARN WHO/CDC/ PM/ HEALTH MINISTER THAT WE MUST WEAR MASKS -- QUOTING THE EXAMPLE OF ASYMPTOMATIC "TYPHOID MARY"..

      2) WHO WAS THE FIRST TO DECLARE THAT 95% OF PEOPLE IN ICELAND ARE ASYMPTOMATIC.. AND IF THEY ARE NOT CAREFUL , ICELAND WILL BECOME SYRIA NO 2 -- AN ISLAMIC NATION, WITH ALL ORIGINAL ICELANDERS DEAD..

      3) WHO WAS THE FIRST TO SUGGEST NANO GOLD COLLOIDS IN PREVENTING/ DETECTING/ CURING CORONAVIRUS

      4) WHO WAS THE FIRST TO SAY ON THIS PLANET THAT IF YOU PUT AN AGED MAN ON VENTILATOR WITH 100% OXYGEN FOR TOO LONG-- HE WILL DIE

      5) WHO WAS THE FIRST ON THE PLANET TO SAY THAT ITALY DEATHS ARE DUE TO PARACETAMOL GIVEN TO AGED PEOPLE WITH FATTY LIVER ( CHEAP WINE )..

      6) WHO WAS THE FIRST ON THE PLANET TO SAY THAT THE VIRUS SPREAD FROM WUHAN CHINA ALL OVER THE PLANET BY AIRCRAFTS WITH POOR INTERNAL AC HEPA FILTERS..

      I LET MY CRITICAL SUGGESTIONS REMAIN AT 500 -- LETTING LIGHTER ONES TO OVERFLOW LIKE WATER OVER A DAM WALL..

      SO ABOVE ARE JUST 6 NEW ONES -- LETTING 6 OLD ONES OVERFLOW..

      MANY PEOPLE SAY-- CAPT AJIT VADAKAYIL HAS NO HUMILITY..

      WELL- I DONT SUFFER FOOLS GLADLY..

      HUMILITY IS NOT ABOUT HAVING A POOR OPINION ABOUT MYSELF TO PLEASE CUNTS OF THE FIRST ORDER..

      capt ajit vadakayil
      ..

    1. https://www.youtube.com/watch?v=O2X27sZyrwY

      https://www.youtube.com/watch?v=42Gg5DdYmfY

      ANTIBODIES COULD INDICATE WHETHER A PERSON WAS INFECTED BY THE VIRUS AND RECOVERED — AND THEREFORE COULD POTENTIALLY REENTER PUBLIC LIFE

      CONDUCTING BLOOD TESTS WILL HELP DETERMINE IF A PERSON HAS BEEN EXPOSED TO THE CORONAVIRUS, EVEN WITHOUT SHOWING SYMPTOMS

      BY ANALYZING BLOOD, RESEARCHERS WILL BE ABLE TO TELL IF A PERSON DEVELOPED CERTAIN ANTIBODIES IN THE BLOOD, INDICATING THAT THEY WERE INFECTED BY THE VIRUS AND RECOVERED.

      IF A PERSON CAN BE SHOWN TO HAVE DEVELOPED THOSE PROTECTIONS AGAINST REINFECTION, THEY COULD POTENTIALLY REENTER SOCIETY — AND THE WORKFORCE — DURING A TIME WHEN 1350 MILLION INDIANS LIVE UNDER ORDERS TO STAY HOME TO PREVENT THE SPREAD OF COVID-19.

      THE TESTS, INVOLVE PRICKING A FINGER AND CAN DELIVER A READING IN 15 MINUTES.

      SEROLOGICAL TESTS USE BLOOD SERUM, THE LIQUID PART OF BLOOD, EXCLUDING CELLS AND CLOTTING PROTEINS.

      EVEN THOUGH SARS-COV-2 ( COVID-19 ) ISN’T TYPICALLY PRESENT IN BLOOD, AN INFECTION CAUSES WHITE BLOOD CELLS TO MAKE ANTIBODY PROTEINS THAT HELP THE IMMUNE SYSTEM IDENTIFY VIRUSES AND STOP THEM, OR MARK INFECTED CELLS FOR DESTRUCTION.

      WARING: ALTHOUGH THESE PROTEINS CAN BE DETECTED IN THE BLOODSTREAM AND BLOOD SERUM, IT CAN TAKE SEVERAL DAYS FOR SOMEONE TO MAKE THESE ANTIBODIES AFTER AN INFECTION.

      SO A SEROLOGICAL TEST ISN’T ALWAYS USEFUL FOR FINDING AN ACTIVE INFECTION — AND CAN YIELD A FALSE NEGATIVE, SHOWING THAT SOMEONE DOESN’T HAVE THE VIRUS WHEN THEY ACTUALLY DO.

      THE RESULTS OF THESE TESTS CAN ALSO BE TRICKIER TO INTERPRET THAN RESULTS FROM THE MORE COMMON RT-PCR TESTS USED TO DIAGNOSE COVID-19, WHICH DETECT THE VIRUS’S GENETIC MATERIAL.

      ANTIBODIES ARE PRODUCED OVER DAYS TO WEEKS AFTER INFECTION WITH THE VIRUS.

      THE STRENGTH OF ANTIBODY RESPONSE DEPENDS ON SEVERAL FACTORS, INCLUDING AGE, NUTRITIONAL STATUS, SEVERITY OF DISEASE, AND CERTAIN MEDICATIONS OR INFECTIONS LIKE HIV THAT SUPPRESS THE IMMUNE SYSTEM.

      IN SOME PEOPLE WITH COVID-19, DISEASE CONFIRMED BY MOLECULAR TESTING (E.G. REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION: RT-PCR), WEAK, LATE OR ABSENT ANTIBODY RESPONSES HAVE BEEN REPORTED.

      MAJORITY OF PATIENTS DEVELOP ANTIBODY RESPONSE ONLY IN THE SECOND WEEK AFTER ONSET OF SYMPTOMS.


      THIS MEANS THAT A DIAGNOSIS OF COVID-19 INFECTION BASED ON ANTIBODY RESPONSE WILL OFTEN ONLY BE POSSIBLE IN THE RECOVERY PHASE, WHEN MANY OF THE OPPORTUNITIES FOR CLINICAL INTERVENTION OR INTERRUPTION OF DISEASE TRANSMISSION HAVE ALREADY PASSED.

      ANTIBODY DETECTION TESTS TARGETING COVID-19 MAY ALSO CROSS-REACT WITH OTHER PATHOGENS, INCLUDING OTHER HUMAN CORONAVIRUSES AND GIVE FALSE-POSITIVE RESULTS.

      ONE TYPE OF RAPID DIAGNOSTIC TEST (RDT) DETECTS THE PRESENCE OF VIRAL PROTEINS (ANTIGENS) EXPRESSED BY THE COVID-19 VIRUS IN A SAMPLE FROM THE RESPIRATORY TRACT OF A PERSON.

      IF THE TARGET ANTIGEN IS PRESENT IN SUFFICIENT CONCENTRATIONS IN THE SAMPLE, IT WILL BIND TO SPECIFIC ANTIBODIES FIXED TO A PAPER STRIP ENCLOSED IN A PLASTIC CASING AND GENERATE A VISUALLY DETECTABLE SIGNAL, TYPICALLY WITHIN 20 MINUTES.

      THE ANTIGEN(S) DETECTED ARE EXPRESSED ONLY WHEN THE VIRUS IS ACTIVELY REPLICATING; THEREFORE, SUCH TESTS ARE BEST USED TO IDENTIFY ACUTE OR EARLY INFECTION.


      FOR CLINICAL DIAGNOSIS, HOWEVER, SUCH TESTS HAVE LIMITED UTILITY BECAUSE THEY CANNOT QUICKLY DIAGNOSE ACUTE INFECTION TO INFORM ACTIONS NEEDED TO DETERMINE THE COURSE OF TREATMENT

      capt ajit vadakayil
    1. REVERSE TRANSCRIPTION QUANTITATIVE POLYMERASE CHAIN REACTION (RT-QPCR) AND SEROLOGICAL IMMUNOASSAYS DETECT VIRAL-SPECIFIC ANTIBODIES (IGM AND IGG) OR ANTIGENS.

      FALSE NEGATIVE RESULTS OBTAINED WITH RT-QPCR ARE VERY COMMON

      40% PATIENTS WHO HAS BEEN INFECTED WITH SARS-COV-2 TESTS NEGATIVE WITH THE RT-QPCR METHOD

      FALSE NEGATIVE RESULTS CAN HAVE DEVASTATING IMPACTS ON THE CURRENT EFFORTS TO CONTAIN THE SARS-COV-2 OUTBREAK AS INFECTED PATIENTS ARE MISTAKENLY GIVEN THE GREEN LIGHT TO RETURN HOME, RETURN TO WORK AND POSSIBLY INFECTING OTHERS. RELYING SOLELY ON NUCLEIC ACID TESTS TO DIAGNOSE SARS-COV-2 IS A RISKY STRATEGY.

      ALTHOUGH, RT-QPCR IS A HIGHLY SENSITIVE TEST FOR SARS-COV-2 (THE VIRUS THAT CAUSES COVID-19) IT HAS ITS LIMITATIONS. RT-QPCR REQUIRES HIGH-QUALITY NASOPHARYNGEAL SWABS CONTAINING SUFFICIENT AMOUNTS OF VIRAL RNA.

      THIS CAN BE A CHALLENGE BECAUSE THE AMOUNT OF VIRAL RNA NOT ONLY VARIES TREMENDOUSLY BETWEEN PATIENTS, IT CAN ALSO VARIES WITHIN THE SAME PATIENT DEPENDING ON THE TIMING OF THE TEST AND THE START OF THE INFECTION AND/OR THE ONSET OF SYMPTOMS.

      IN ADDITION, NASOPHARYNGEAL SWABS ARE NOT ONLY VERY UNPLEASANT TO THE PATIENT, THE SAMPLING TECHNIQUES VARY SIGNIFICANTLY FROM NURSE TO NURSE. WITHOUT SUFFICIENT VIRAL RNA RT-QPCR CAN RETURN A FALSE NEGATIVE TEST RESULT.

      RT-QPCR ALSO REQUIRES HIGHLY TRAINED PERSONNEL TO PERFORM COMPLEX RNA EXTRACTION STEPS AND PCR. NORMALLY, THIS WOULD NOT BE A PROBLEM WHEN TESTING A FEW THOUSAND SAMPLES. RT-QPCR BECOMES AN ISSUE WHEN DEALING WITH A GLOBAL PANDEMIC WITH POTENTIALLY MILLIONS OF PEOPLE TO TEST.

      THIS LEADS TO DELAYS IN TESTING AS MEDICAL FACILITIES BECOME OVERWHELMED WITH REQUESTS.

      IGG/IGM SEROLOGICAL TESTS OFFER SOME ADVANTAGES OVER RT-QPCR. FIRSTLY, SEROLOGICAL TESTS DETECT HUMAN ANTIBODIES (PROTEINS BELONGING TO THE IMMUNOGLOBULIN CLASS) WHICH ARE KNOWN TO BE MUCH MORE STABLE THAN VIRAL RNA.

      AS A RESULT, IGM/IGG SEROLOGICAL SPECIMENS ARE LESS SENSITIVE TO SPOILAGE DURING COLLECTION, TRANSPORT, STORAGE AND TESTING THAN RT-QPCR SPECIMENS.

      SECONDLY, BECAUSE ANTIBODIES ARE TYPICALLY UNIFORMLY DISTRIBUTED IN THE BLOOD, SEROLOGICAL SPECIMENS HAVE MUCH LESS VARIATIONS THAN NASOPHARYNGEAL VIRAL RNA SPECIMENS AND CAN BE EASILY COLLECTED WITH MINOR PHLEBOTOMY DISCOMFORT TO THE PATIENT.

      THIRDLY, UNLIKE RT-QPCR, SEROLOGICAL TESTS CAN DETECT PAST INFECTION BECAUSE VIRUS-SPECIFIC ANTIBODIES (UNLIKE VIRAL RNA) CAN PERSIST IN THE BLOOD FOR SEVERAL WEEKS/MONTHS AFTER ONSET OF SYMPTOMS.

      IGM/IGG SEROLOGICAL ASSAY CAN BE USED TO COMPLEMENT RT-QPCR IN THE DIAGNOSIS OF SARS-COV-2 INFECTIONS.

      A SEROLOGY TEST LOOKS FOR SIGNS OF AN IMMUNE RESPONSE

      WHEN YOUR BODY ENCOUNTERS A VIRUS, IT TAKES SOME TIME FOR IT TO RECOGNIZE THE INVADER AND TO BEGIN TO SCALE UP AN IMMUNE RESPONSE. IMMUNE MOLECULES CALLED ANTIBODIES ARE A CRUCIAL PART OF THIS RESPONSE.

      THE FIRST TYPE OF ANTIBODY TO APPEAR IS CALLED IMMUNOGLOBULIN M OR IGM, AND ITS LEVELS SPIKE WITHIN A FEW DAYS OF INFECTION. BUT IGM IS A GENERIC FIGHTER. TO TARGET AND DESTROY A SPECIFIC VIRUS, THE BODY REFINES IT INTO A SECOND TYPE OF ANTIBODY, CALLED IMMUNOGLOBULIN G, OR IGG, THAT CAN RECOGNIZE THAT VIRUS.

      IGM ANTIBODIES, WHICH ARE MADE EARLY IN AN IMMUNE RESPONSE AND WHOSE LEVELS USUALLY QUICKLY WANE, AND IGG ANTIBODIES, WHOSE LEVELS RISE MORE SLOWLY AFTER INFECTION BUT USUALLY PERSIST LONGER.

      AS IGG LEVELS RISE, IGM LEVELS DROP; IGG LEVELS PEAK AROUND 28 DAYS AFTER THE ONSET OF INFECTION.

      FALSE POSITIVES, ARE DANGEROUS BECAUSE THEY CAN LULL PEOPLE INTO BELIEVING THEY ARE IMMUNE WHEN THEY ARE NOT, AND BECOMING EXPOSED TO THE VIRUS

      CONTINUED TO 2-
      1. CONTINUED FROM 1--

        SEROLOGICAL TESTING CAN ANSWER MANY QUESTIONS THAT CANNOT BE ADDRESSED WITH THE CURRENT COVID-19 DIAGNOSTIC TEST, WHICH USES POLYMERASE CHAIN REACTION METHODS TO DETECT VIRAL GENETIC MATERIAL.

        REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION (RT-PCR) IS A LABORATORY TECHNIQUE COMBINING REVERSE TRANSCRIPTION OF RNA INTO DNA (IN THIS CONTEXT CALLED COMPLEMENTARY DNA OR CDNA) AND AMPLIFICATION OF SPECIFIC DNA TARGETS USING POLYMERASE CHAIN REACTION (PCR)

        THE EXPONENTIAL GROWTH OF THE REVERSE TRANSCRIBED COMPLEMENTARY DNA (CDNA) DURING THE MULTIPLE CYCLES OF PCR PRODUCES INACCURATE END POINT QUANTIFICATION DUE TO THE DIFFICULTY IN MAINTAINING LINEARITY.

        capt ajit vadakayil
        ..

    1. WHY DOES ITALY HAVE SO MANY COVID-19 DEATHS?

      IF THESE DEAD PEOPLE HAD NOT VISITED THE HOSPITAL FOR MEDICATION, THEY WOULD HAVE BEEN STILL ALIVE..

      MOST ITALIANS HAVE FATTY LIVER IN THEIR OLD AGE , AS THEY DRINK CHEAP SUGAR LADEN WINE..

      http://ajitvadakayil.blogspot.com/2014/03/high-fructose-corn-syrup-fatty-liver.html

      WHEN YOU HAVE A WEAK LIVER AFFECTED BY ALCOHOL AND SUGAR, PARACETAMOL BECOMES A KILLER DRUG.. AT THIS TIME THERE IS NOTHING CALLED A "SAFE DOSE" APPLICABLE TO A SMALL BOY WITH A HEALTHY LIVER..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      ADMINISTERING OXYGEN CONTINUOUSLY TO AGED PEOPLE IN THE HOSPITAL IS NOT GOOD.. HUMANS REQUIRE ATMOSPHERIC AIR ( WITH 78% ) NITROGEN -- NOT 100% OXYGEN..

      LIVER ABNORMALITIES OF COVID-19 OLD ITALIAN PATIENTS IS NOT DUE TO HEPATOCYTE DAMAGE, BUT CHOLANGIOCYTE DYSFUNCTION AND OTHER CAUSES SUCH AS PARACETAMOL INDUCED AND SYSTEMIC INFLAMMATORY RESPONSE INDUCED LIVER INJURY

      IN INDIA THERE HAS BEEN LAKHS OF PARACETAMOL RELATED LIVER FAILURE DEATHS

      BE WARNED.. CAPT AJIT VADAKAYIL WILL SEND MAHAMERU DOCTORS TO JAIL FOR LIFE..

      WHO/ US CDC BE WARNED..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      capt ajit vadakayil
      ..




    1. Capt. Ajit VadakayilApril 12, 2
      https://timesofindia.indiatimes.com/india/coronavirus-man-made-in-wuhan-lab-nobel-laureate/articleshow/75227989.cms

      SORRY COVID-19 WAS MADE IN A LAB FOR FUTURE BIOWARFARE, THE LIKES OF WHICH HAS NEVER BEEN IMAGINED EVEN BY THRILLER AUTHORS..

      THIS IS A SPLICED VIRUS...IT WAS MEANT TO BE AYSMTOMATIC..

      IT WAS MEANT TO PUT THE WHOLE WORLD POPULATION IN "SLEEP CARRIER MODE"..

      ACTIVATION CAN BE DONE WITH DELIBERATE BEAMING OF IONIZING RADIATION .. BY TELOMERE METHOD..

      http://ajitvadakayil.blogspot.com/2018/07/metastatic-cancer-spurt-in-india-capt.html

      AIDS IS STILL MISUNDERSTOOD..

      HERE IS A POST I WROTE 7 YEARS AGO..

      http://ajitvadakayil.blogspot.com/2013/06/hiv-does-not-cause-aids-many-aids.html

      WHO AND CDC MUST BE CLEANSED OFF AGENTS IN EVIL PHARMA PAYROLL.

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      capt ajit vadakayil
      ..:07 PM
      DEEPMIND, THE AI ARM OF GOOGLE'S PARENT COMPANY ALPHABET, IS USING DATA ON GENOMES TO PREDICT ORGANISMS' PROTEIN STRUCTURE, TO SHED LIGHT ON WHICH DRUGS COULD WORK AGAINST COVID-19. BRAAAYYYY.

      THE SCIENTISTS ARE TRYING TO FIND CHINKS IN THE ARMOR OF A VIRUS IS TO STUDY THE PROTEINS ASSOCIATED WITH IT AND HOW THEY ARE STRUCTURED. ONE OF THE DEEPMIND TOOLS IS ALPHAFOLD, AN AI TOOL THAT PREDICTS HOW PROTEINS FOLD. BRAAAAYYYY .

      THE SCIENTISTS CONTEND THAT THE WAY A PROTEIN FOLDS DETERMINES ITS FUNCTION. PROTEINS ARE CHAINS OF AMINO ACIDS THAT FOLD INTO INTRICATE SHAPES. THEY ARE ENCODED BY DNA WITH THE GENES GENERATING THE RECIPES FOR HOW THEY FOLD. IF THEY FOLD JUST RIGHT THEY EXECUTE THE TASKS FOR WHICH THEY WERE DESIGNED.. BAAP REH !

      WHEN THEY DON’T THERE ARE NEGATIVE CONSEQUENCES. AIYYOOOO..

      WHEN PROPERLY FOLDED THESE PROTEINS FORM Y-SHAPED HOOKS THAT LATCH ON TO INVADERS IDENTIFYING THEM FOR THE T-CELLS IN THEIR SEARCH AND DESTROY MISSIONS. WHERE IS MY BANANA?...

      WHEN A VIRUS LIKE COVID-19 FIRST INFECTS A HOST IT ATTACKS CELLS AND USES THE PROTEIN-MAKING MACHINERY WITHIN THEM TO MAKE COPIES OF ITS OWN PROTEINS WHICH THEN HELP IN VIRAL REPLICATION. THIS COMMANDEERING OF THE CELL IS THE MECHANISM BY WHICH THE VIRUS SPREADS WITHIN EVERY INFECTED PERSON… APPIDIYAA?..

      DEEPMIND, THE CREATORS OF ALPHAFOLD, USE A NEURAL NETWORK AI. NEURAL NETWORKS SIMULATE THE INTERCONNECTED CELLS OF HUMAN BRAINS TO LEARN THINGS. TO DETECT PATTERNS IN DATA, AND TO MAKE DECISIONS SIMILAR TO THE ONES WE HUMANS MAKE. A NEURAL NETWORK IS A SELF-LEARNING AI. .. SCRATCH SCRATCH ON Me SCOTUM..

      THE GOAL OF RESEARCHERS TRYING TO FIND A CURE FOR COVID-19 IS TO BLOCK THE RNA POLYMERASES SO THE VIRUS CANNOT REPLICATE. THE CHALLENGE IS DEVELOPING A DRUG THAT SPECIFICALLY TARGETS THE RNA FUCKIN’ POLYMERASE WITHOUT HARMING THE HOST CELL... BRAAAAYYYYY
      CAPT AJIT VADAKAYIL WAS THE FIRST TO KICK THESE DNA PROTEIN SCIENTISTS ON THEIR COLLECTIVE BALLS AND TWATS .. AND SEND THEM BACK TO THE DRAWING BOARD WITHIN 30 MINUTES OF THEIR FANTASTIC DECLARATION OF ARSENIC IN DNA..

      IMAGINE NSA DABBLING WITH DNA.. OH I FORGOT, NASA HAS NOW GRADUATED FROM ROCKETS TO ALIEN DNA ..

      http://ajitvadakayil.blogspot.com/2010/12/dna-nasa-arsenic-and-phosphorous-capt.html

      THREE DAYS AFTER MY POST ABOVE NSA PROTEIN SCIENTIST ADMITTED FUCKING IT UP WHOLESALE..

      https://slate.com/technology/2010/12/the-nasa-study-of-arsenic-based-life-was-fatally-flawed-say-scientists.html

      6200 YEAR OLD CHARAKA SAMHITA MANULA OF AYURVEDA USED SCALAR ENERGY POWERED GOLD NANO COLLOIDS OF HUMPED COW URINE.. IN A HUNT AND DESTROY MODE..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      BY THE WAY, I AM WRITING A BLOG SERIES ON AI.. IT IS JUST 55% COMPLETE AFTER 18 PARTS..

      https://ajitvadakayil.blogspot.com/2020/03/what-artificial-intelligence-cannot-do_15.html

      capt ajit vadakayil
      ..


    UPTO  80% OF PEOPLE TESTING POSITIVE FOR SARS-COV-2 MAY BE ASYMPTOMATIC
    SOME  ASYMPTOMATIC CASES  WILL  BECOME  SYMPTOMATIC OVER THE NEXT WEEK (SOMETIMES KNOWN AS “PRE-SYMPTOMATICS”)

    THAT CHILDREN AND YOUNG ADULTS CAN BE ASYMPTOMATIC


    THERE  IS NOT A SINGLE RELIABLE STUDY TO DETERMINE THE NUMBER OF  ASYMPTOTICS. IT IS LIKELY WE WILL ONLY LEARN THE TRUE EXTENT ONCE POPULATION BASED ANTIBODY TESTING  IS UNDERTAKEN.


    https://www.google.com/amp/s/m.economictimes.com/markets/stocks/news/chinas-central-bank-holds-1-stake-in-hdfc/amp_articleshow/75104998.cms

    Chinese using pandemic to buy stocks all over globe.
    1. CHINA HAS ALWAYS USED GLOBAL RECESSION TO GOBBLE UP STOCKS ..

      I REMEMBER DURING THE 1985 RECESSION, ALL THE WORLD WERE SELLING OFF THEIR SHIPS BECAUSE OF NO CARGO AND LOSS OF EARNING CAPABILTY.

      CHINA BOUGHT THE BEST SHIPS AND MOTHBALLED THEM WELL.

      AFTER THE RECESSION ABATED, AFTER 3 YEARS, CHINA REVIVED THESE SHIPS AND CHANGED THEIR NAMES AND PORT OF REGISTRY TO CHINESE..

      Capt ajit vadakayil
      ..


    1. SOMEBODY CALLED ME UP AND CRIED..

      CAPTAIN

      FROM THE GRAPEVINE ,I HAVE FOUND OUT YOU WERE "THE" TOUGHEST CAPTAIN AT SEA..AND YOU RODE LIKE A COLOSSUS FOR 30 YEARS .. AND THE GOT OFF WHILE RIDING THE CREST OF THE WAVE OF POWER TO BLOG..

      HOW IS IT THAT YOU HAVE BECOME "A LIVING LEGEND AT SEA"..

      WELL--

      I PROVIDED STRONG LEADERSHIP DURING TIMES OF CRISIS..

      AND THE CREW LOVED ME FOR THAT..

      SHIP'S CREW DONT LIKE TREACLE SWEET LEADERS LIKE MODI -- IN SABKA VISHWAAS MODE..

      IN THE POST BELOW, I HAVE GIVEN AN INSTANCE WHEN I SAVED MY SHIP, A 90,000 TONNE CRUDE OIL CARRIER, FIRST FROM SINKING AND THEN FROM BURNING..


      I WAS NOT EVEN MARRIED AT THAT TIME.. I WAS A YOUNG CAPTAIN AGED 26..

      BELOW IS AN INSTANCE OF MY SHIP FACING THE WORLDs STRONGEST TYPHOON..

      ALL KNOW HOW STRONG THE CAPTAIN WAS .. REFUSING TO OBEY PAST PRECEDENT..


      CAPT NARENDRA DAMODARDAS MODI ( SABKA VISHWAAAS MODE ) WOULD NOT HAVE LASTED ONE MONTH -- HE WOULD HAVE BEEN THROW OVERBOARD BY HIS OWN CREW AMD THEN THEY WOULD HAVE SPAT INTO THE SEA..

      ASARAM BAPU IS ROTTING IN JAIL.. HE WAS DONE IN BY DEEP STATE FUNDED NGOs WHO USED A MENTALLY RETARDED GIRL, WHOM HE TRIED TO HELP..

      ASARAM BAPUs FOLLOWERS ARE NOW 95% CONVERTED TO CHRISTIANITY..

      RAPIST BISHOP FRANCO MULAKKAL IS STILL FREE ..


      IN THIS HOUR OF CORONAVIRUS , I WILL TELL THIS..

      NEGATIVE IONS KILL COVID-19 VIRUS..

      ASARAM BAPU USED A SPRAY OF NEGATIVE IONS SCENTED WITH WILD ORCHID PALASHA FLOWER ON HOLI .. HE WAS DRAGGED OVER HOT COALS FOR WASTING WATER BY THE DESH DROHI JUDICIARY AND THEY LACKEY MEDIA..


      MODI SHAT IN HIS LANGOT WHEN TRUMP THREATENDEDNED RETALIATION OVER CORONAVIRUS MEDICINE..

      INDIRA GANDHI WAS UNFAZED WHEN USA SENT THE SEVENTH FLEET TO SCARE HER , DURING THE BANGLADESH WAR..

      SHE HAS NOT A NAPUNSAK LIKE MODI -- SHE HAD BALLS OF STEEL..

      SHE BROKE THE SPINE OF KHALISTANIS..

      LAST FRIDAY MUSLIMS ALL OVER INDIA WERE STILL PRAYING IN MOSQUES--WITH BENGAL BEING THE WORST CULPRIT.. MODI DOES NOT HAVE THE BALLS TO ARREST THE MOSQUE MULLAH ..

      I WILL WRITE MODIs LEGACY .. NOT JEWISH DEEP STATE ..

      capt ajit vadakayil
      ..


    1. THE PANDEMIC HAS GRIPPED THE PLANET BY ITS SHORT CURLIES.. YET WHO HAS NOT DONE DYNMIC RISK ASSESSMET OR ROOT CAUSE ANALYSIS..

      EVERYTHING IS RAAM BHAROSE !

      OUR INDIAN THINK TANKS ARE PACKED WITH PEOPLE WHO ARE BRAIN DEAD.. THEY HAVE NO IDEA WHAT IF DYNAMIC RISK ASSESSMENT OR ROOT CAUSE ANALYSIS..

      ROOT CAUSE ANALYSIS IS BASED ON THE BASIC IDEA THAT EFFECTIVE MANAGEMENT REQUIRES MORE THAN MERELY “PUTTING OUT FIRES” FOR PROBLEMS THAT DEVELOP, BUT FINDING A WAY TO PREVENT THEM.

      DATA TRIANGULATION IS ONE METHODOLOGY THAT CAN BE USED TO DETERMINE THE ROOT CAUSE OF THE PROBLEM. AT A MINIMUM, PLANNING TEAMS SHOULD USE AT LEAST THREE SOURCES OF DATA TO IDENTIFY EACH CONCERN

      TRIANGULATION MEANS USING MORE THAN ONE METHOD TO COLLECT DATA ON THE SAME TOPIC. THE PURPOSE OF TRIANGULATION IS NOT NECESSARILY TO CROSS-VALIDATE DATA BUT RATHER TO CAPTURE DIFFERENT DIMENSIONS OF THE SAME PHENOMENON.

      TRIANGULATION FACILITATES VALIDATION OF DATA THROUGH CROSS VERIFICATION FROM MORE THAN TWO SOURCES

      I DO 4D SPHOTA TRIANGULATION IN MY MIND SITTING AT THE BINDU LOOKING OUTWARDS..

      WHY 4D? — IT FACTORS IN THE TIME AXIS! SUBJECTIVE RULES !!

      I HAVE TO REBEL AT SEA, TO BRING IN THE CONCEPT OF DYNAMIC RISK ASSESSMENT

      http://ajitvadakayil.blogspot.com/2010/04/dynamic-risk-assessment-on-chemical.html

      READ BOTH PARTS OF THE POST BELOW-
      http://ajitvadakayil.blogspot.com/2017/06/root-cause-analysis-capt-ajit-vadakayil.html

      capt ajit vadakayil
      ..

    1. https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      SOMEBODY ASKED ME

      CAPTAIN

      IF CORONAVIRUS IS CREATED IN A LAB FOR BIOLOGICAL WARFARE THEN IT DOES NOT MAKE SENSE TO HAVE 55% ASYMPTOMATIC CARRIERS LIKE YOU WROTE...

      WELL IN BIOLOGICAL WARFARE "SEEDING" MUST BE DONE BEFORE THE EVENT..

      SOME VIRUSES CAN "HIDE" WITHIN A CELL, WHICH MAY MEAN THAT THEY EVADE THE HOST CELL DEFENSES OR IMMUNE SYSTEM AND MAY INCREASE THE LONG-TERM "SUCCESS" OF THE VIRUS.

      THIS HIDING IS DEEMED LATENCY. DURING THIS TIME, THE VIRUS DOES NOT PRODUCE ANY PROGENY, IT REMAINS INACTIVE UNTIL EXTERNAL STIMULI— SUCH AS LIGHT / STRESS —OR ACTIVATION ENERGY-- PROMPTS IT TO ACTIVATE.

      THE CRIMINALS WHO CREATED COVID-19 VIRUS IN THE LAB, KNOW HOW TO ACTIVATE ASYMPTOMATIC CARRIERS * SLEEPER AGENTS – LIKE MODERN SLEEPER SPY CELLS WITH CHIPS EMBEDDED IN THEM ..

      VIRUSES ARE ONLY ABLE TO REPLICATE THEMSELVES BY COMMANDEERING THE REPRODUCTIVE APPARATUS OF CELLS AND MAKING THEM REPRODUCE THE VIRUS'S GENETIC STRUCTURE INSTEAD.

      THUS, A VIRUS CANNOT FUNCTION OR REPRODUCE OUTSIDE A CELL, THEREBY BEING TOTALLY DEPENDENT ON A HOST CELL IN ORDER TO SURVIVE

      RESPIRATORY VIRUSES, LIKE THE NOVEL CORONAVIRUS, WORK BY HIJACKING HEALTHY CELLS IN YOUR NOSE, THROAT OR LUNGS (YOUR RESPIRATORY TRACT) AND USING THOSE CELLS AS FACTORIES TO PRODUCE MORE VIRUSES.

      IF THERE IS A DETECTABLE VIRUS WHEN SOMEONE STICKS A SWAB UP YOUR NOSE, THAT MEANS YOUR ORAL NASAL CAVITY IS EXCRETING THE VIRUS, EVEN IF YOU PHYSICALLY FEEL FINE.

      THESE VIRUSES GET PASSED ON TO OTHERS BECAUSE ANY TIME YOU BREATHE, COUGH OR EVEN SPEAK, YOU EXPEL TINY DROPLETS. SO, WHEN A VIRUS IS REPRODUCING IN YOUR RESPIRATORY TRACT, THOSE DROPLETS COULD CONTAIN VIRAL PARTICLES.

      WHEN OTHER PEOPLE COME IN CONTACT WITH THOSE PARTICLES, BE IT IN THE AIR OR AFTER THE DROPLET LANDS ON A SURFACE, THEY CAN BECOME INFECTED AS WELL. “YOU’RE LEAKING IT OUT,” SAYS SHAMAN.

      COVID-19 IS A LAB MADE VIRUS FOR BIOLOGICAL WARFARE.. THE INCUBATION PERIOD IS TOO LONG ( TWO WEEKS ) FOR IT TO BE A NATURAL VIRUS.. MIND YOU VIRUS IS INERT ( NO SOUL ) TILL IT LATCHED ON AS A PARASITE TO A JOST CELL

      WHEN FOUND OUTSIDE OF HOST CELLS, VIRUSES EXIST AS A PROTEIN COAT OR CAPSID, SOMETIMES ENCLOSED WITHIN A MEMBRANE. THE CAPSID ENCLOSES EITHER DNA OR RNA WHICH CODES FOR THE VIRUS ELEMENTS. WHILE IN THIS FORM OUTSIDE THE CELL, THE VIRUS IS METABOLLICALLY INERT

      WHEN IT COMES INTO CONTACT WITH A HOST CELL, A VIRUS CAN INSERT ITS GENETIC MATERIAL INTO ITS HOST, LITERALLY TAKING OVER THE HOST'S FUNCTIONS. AN INFECTED CELL PRODUCES MORE VIRAL PROTEIN AND GENETIC MATERIAL INSTEAD OF ITS USUAL PRODUCTS.

      SOME VIRUSES MAY REMAIN DORMANT INSIDE HOST CELLS FOR LONG PERIODS, CAUSING NO OBVIOUS CHANGE IN THEIR HOST CELLS (A STAGE KNOWN AS THE LYSOGENIC PHASE).

      BUT WHEN A DORMANT VIRUS IS STIMULATED, IT ENTERS THE LYTIC PHASE: NEW VIRUSES ARE FORMED, SELF-ASSEMBLE, AND BURST OUT OF THE HOST CELL, KILLING THE CELL AND GOING ON TO INFECT OTHER CELLS

      PROTEINS ON THE CELL SURFACE SPECIFICALLY INTERACT WITH PROTEINS ON THE VIRUS AND EFFECTIVELY LOCK IT IN PLACE. FOR MANY VIRUSES, INCLUDING THE T PHAGE, THE DNA IS PACKAGED IN THE HEAD UNDER PRESSURE, SO NO ADDITIONAL ENERGY IS REQUIRED TO TRANSFER THE DNA INTO THE CELL.

      THINK OF IT LIKE A CAN OF 'FIX A FLAT', ONCE YOU LOCK THE NOZZLE ONTO THE TIRE VALVE THE PRESSURIZED CONTENTS AUTOMATICALLY FLOW INTO THE TIRE.

      VIRUSES CAUSE A NUMBER OF DISEASES IN EUKARYOTES. IN HUMANS, SMALLPOX, THE COMMON COLD, CHICKENPOX, INFLUENZA, SHINGLES, HERPES, POLIO, RABIES, EBOLA, HANTA FEVER, AND AIDS ARE EXAMPLES OF VIRAL DISEASES. EVEN SOME TYPES OF CANCER -- THOUGH DEFINITELY NOT ALL -- HAVE BEEN LINKED TO VIRUSES.

      CONTINUED TO 2--
      1. CONTINUED FROM 1--


        THE REMARKABLE THING IS GOLD NANO COLLOIDS OF GOMUTRA ( FRESH URINE OF HUMPED COW ) HUNT AND SELECTIVELY KILL ALL OF THEM..

        https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

        ON THE OTHER HAND, BECAUSE VIRUSES CAN TRANSFER GENETIC MATERIAL BETWEEN DIFFERENT SPECIES OF HOST, THEY ARE EXTENSIVELY USED IN GENETIC ENGINEERING. VIRUSES ALSO CARRY OUT NATURAL "GENETIC ENGINEERING":

        A VIRUS MAY INCORPORATE SOME GENETIC MATERIAL FROM ITS HOST AS IT IS REPLICATING, AND TRANSFER THIS GENETIC INFORMATION TO A NEW HOST, EVEN TO A HOST UNRELATED TO THE PREVIOUS HOST.

        THIS IS KNOWN AS TRANSDUCTION, AND IN SOME CASES IT MAY SERVE AS A MEANS OF EVOLUTIONARY CHANGE..

        Capt ajit vadakayil
        ..
    ANY IONIZING RADIATION -- 5G IS AN EXAMPLE..

    THIS ACTIVATING RADIATION COULD BE BEAMED FROM SATELLITE..

    capt ajit vadakayil
    ..

    1. CAPT AJIT VADAKAYIL WARNS MODI

      DO NOT STOP FOOD PRODUCTION AND PERISHABLE FOOD PRESERVATION..

      WE ARE IN FOR A LONG MARATHON HAUL..

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      MODI-- IN TIMES OF CRISIS , BE STRONG .. WE DONT WANT A WEAK APOLOGETIC LEADER DURING THIS HOUR OF PANDEMIC.. DO NOT MILK VOTES, THIS IS NOT THE TIME..

      IF SABKA VISHWAAS MODI IS SHIPs CAPTAIN HE WILL ASK FOR SHOW OF HANDS ON THE NAVIGATING BRIDGE, IF HE HAS TO TURN THE HELM OR TURN THE PROPELLER AHEAD/ ASTERN..

      http://ajitvadakayil.blogspot.com/2013/06/unsung-ozone-for-instant-prevention-and.html

      SUMMER IS THE TIME WHEN FRUITS/ VEGGIES GET SPOILT FAAST..

      capt ajit vadakayil
      ..








  • I NEVER KNEW THAT EYES AND NOSE HAVE A CONNECTION..

    TILL I SAW A YOUTUBE VIDEO

    WHERE A YOGI PUT MOONG DHALL IN BOTH NOSTRILS AND SQUEEZED IT OUT OF HIS EYES..

    IT WAS A BIT DIFFICULT ( SHOCKING ) TO SEE IT..

    MOST INDIANS DOCTORS AND NURSES HAVE CONTACTED CORONAVIRUS VIA THE EYES..

    THEY HAVE NOT BE GIVEN EYE PROTECTION LIKE THE DOCTORS / NURSES IN USA..


    WHAT A DISGRACE.. THIS IS DESPITE HEALTH MINISTER HARSHVARDHAN ACKNOWLEDGING MY MESSAGE AND ASSURING ME THAT HE KNOWS ABOUT THIS.. IT IS ON RECORD

    IMA MUST BE DISMANTLED-- ALL SACKED .. WE MUST START A NEW ORG WITHOUT KOSHER VIL PHARMA PAYROLL AGENTS..

    THE POST BELOW SHOWS WHEN I HAD TO KICK IMA ON THEIR BALLS..

    IS THIS THE JOB OF A BLOGGER? WHAT IS THE WORTH OF IMA?

    http://ajitvadakayil.blogspot.com/2014/11/sterilisation-deaths-of-13-tribalwomen.html

    capt ajit vadakayil
    ..

  • PUT ABOVE COMMENT IN WEBSITES OF—
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    1. https://www.worldometers.info/coronavirus/

      COVID -19 HAS SHOWN AMERICA THE HARD WAY HOW AMERICAN EXCEPTIONALISM CHICKEN CAN COME HOME TO ROOST..

      EVEN DURING THIS HOUR OF PANDEMIC CHILDREN IN VENEZUELA/ NORTH KOREA/ IRAN/ YEMEN ARE DYING ..THANKS TO AMERICAN EXCEPTIONALISM SANCTIONS..

      MODI DOES NOT HAVE THE BALLS TO SEND THESE NATIONS SOME LIFESAVING MEDICINES.. HE MAY NOT GET THE JEWISH NOBEL PRIZE..

      AMERICAN EXCEPTIONALISM IS ROOTED IN TERRIFIC IGNORANCE OF THE HILLY BILLY YANK, USED TO THE SYSTEM OF THE RIDING POSSE CHASING THE BAD OUTLAW..

      THEY TRIED TO MAKE PUTIN THIS OUTLAW AND FELL PHUTT ON THEIR FACES FROM THEIR UPPITY HORSES..

      AMERICAN SHIT DOES SMELL.

      AMERICAN BOMBS ARE NOT GOOD BOMBS

      CORONAVIRUS AS A CALAMITY HAS PROVED TO BE A GREAT LEVELER..

      FOUR GENERATIONS OF NORTH KOREANS HAVE NOT SEEN PROPER FOOD..

      http://ajitvadakayil.blogspot.com/2017/03/regime-change-in-north-korea-rare.html

      WE KNOW WHAT HAPPENED IN HIROSHIMA/ NAGASAKI..

      http://ajitvadakayil.blogspot.com/2017/03/japanese-in-hiroshima-and-nagasaki.html

      AMERICAN CHILDREN DO NOT KNOW OF FOUL CHINESE SLAVERY IN USA.. THEY ONLY MOAN OVER THE BLACK SLAVE.

      https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

      capt ajit vadakayil
      ..

    1. https://timesofindia.indiatimes.com/india/after-letter-from-centre-kerala-says-will-amend-relaxation-order/articleshow/75248059.cms

      CAPT AJIT VADAKAYIL ASKS PINARAYI VIJAYAN..

      DO NOT RUSH INTO THE RELAXATION PHASE..

      FOOD PRODUCTION/ PRESERVATION IS MANDATORY.. PLANT POOLA KIZHANGU ALL OVER KERALA..

      CENTRE IS CONFIDENT THAT KERALA WILL NOT SCREW IT UP.. KERALA LEADS THIS PLANET ..

      BUT WE HAVE STUPID MAHARASHTRA LED BY A WEAK STAR KID UDDHAV THACKREY , WHO HAS REALLY MESSED IT UP.. THIS LIMPET WILL QUOTE KERALA MODE AND BLEED BHARATMATA BIG TIME AND LONG TERM ..

      capt ajit vadakayil
      ..

      PUT ABOVE COMMENT IN WEBSITES OF--
      PINARAYI VIJAYAN
      ALL COLLECTORS OF KERALA
      PMO
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      AMIT SHAH
      HEALTH MINISTER

    1. SOMEBODY CALLED ME UP AND CRIED..

      CAPTAIN

      FROM THE GRAPEVINE ,I HAVE FOUND OUT YOU WERE "THE " TOUGHEST CAPTAIN AT SEA..AND YOU RODE LIKE A COLOSSUS FOR 30 YEARS .. AND THE GOT OFF WHILE RIDING THE CREST OF THE WAVE OF POWER TO BLOG..

      HOW IS IT THAT YOU HAVE BECOME " A LIVING LEGEND AT SEA "..

      WELL--

      I PROVIDED STRONG LEADERSHIP DURING TIMES OF CRISIS..

      AND THE CREW LOVED ME FOR THAT..

      SHIP'S CREW DONT LIKE TREACLE SWEET LEADERS LIKE MODI -- IN SABKA VISHWAAS MODE..

      IN THE POST BELOW, I HAVE GIVEN AN INSTANCE WHEN I SAVED MY SHIP, A 90,000 TONNE CRUDE OIL CARRIER, FIRST FROM SINKING AND THEN FROM BURNING..

      http://ajitvadakayil.blogspot.com/2019/10/when-there-is-danger-of-his-ship.html

      I WAS NOT EVEN MARRIED AT THAT TIME.. I WAS A YOUNG CAPTAIN AGED 26..

      BELOW IS AN INSTANCE OF MY SHIP FACING THE WORLDs STRONGEST TYPHOON..

      ALL KNOW HOW STRONG THE CAPTAIN WAS .. REFUSING TO OBEY PRECEDENT..

      http://ajitvadakayil.blogspot.com/2010/12/super-typhoon-bart-perfect-storm-capt.html

      CAPT NARENDRA DAMODARDAS MODI ( SABKA VISHWAAAS MODE ) WOULD NOT HAVE LASTED ONE MONTH -- HE WOULD HAVE BEEN THROW OVERBOARD BY HIS OWN CREW AMD THEN THEY WOULD HAVE SPAT INTO THE SEA..

      ASARAM BAPU IS ROTTING IN JAIL.. HE WAS DONE IN BY DEEP STATE FUNDED NGOs WHO USED A MENTALLY RETARDED GIRL, WHOM HE TRIED TO HELP..

      ASARAM BAPUs FOLLOWERS ARE NOW 95% CONVERTED TO CHRISTIANITY..

      RAPIST BISHOP FRANCO MULAKKAL IS STILL FREE ..

      https://en.wikipedia.org/wiki/Franco_Mulakkal

      IN THIS HOUR OF CORONAVIRUS , I WILL TELL THIS..

      NEGATIVE IONS KILL COVID-19 VIRUS..

      ASARAM BAPU USED A SPRAY OF NEGATIVE IONS SCENTED WITH WILD ORCHID PALASHA FLOWER ON HOLI .. HE WAS DRAGGED OVER HOT COALS FOR WASTING WATER BY THE DESH DROHI JUDICIARY AND THEY LACKEY MEDIA..

      http://ajitvadakayil.blogspot.com/2013/03/holi-celebrations-immoral-attack-on.html

      MODI SHAT IN HIS LANGOT WHEN TRUMP THREATENDEDNED RETALIATION OVER CORONAVIRUS MEDICINE..

      INDIRA GANDHI WAS UNFAZED WHEN USA SENT THE SEVENTH FLEET TO SCARE HER , DURING THE BANGLADESH WAR..

      SHE HAS NOT A NAPUNSAK LIKE MODI -- SHE HAD BALLS OF STEEL..

      SHE BROKE THE SPINE OF KHALISTANIS..

      LAST FRIDAY MUSLIMS ALL OVER INDIA WERE STILL PRAYING IN MOSQUES--WITH BENGAL BEING THE WORST CULPRIT.. MODI DOES NOT HAVE THE BALLS TO ARREST THE MOSQUE MULLAH ..

      I WILL WRITE MODIs LEGACY .. NOT JEWISH DEEP STATE ..

      capt ajit vadakayil
      ..

    https://www.newindianexpress.com/states/kerala/2020/apr/16/just-one-covid-19-case-kerala-tops-in-recoveries-2130669.html

    KERALA HAS THE BEST RECOVERY RATE ON THIS PLANET..

    KERALA ALSO HAS THE BEST SOCIAL INDICATORS ON THIS PLANET-- FAR AHEAD OF WHITE NATIONS..


    Captain,
    Will this plasma therapy effective to treat coronavirus?India is also set to begin this treatment it seems.

    https://www.financialexpress.com/lifestyle/health/coronavirus-treatment-india-set-to-treat-covid-19-infection-with-plasma-therapy-how-does-it-work-details/1925609/


    1. DURING THIS PANDEMIC HOMELESS AMERICANS ARE SHITTING ALL OVER CITIES ..

      ONCE MY SON WENT FOR A JOB INTERVIEW ( VERY HIGH SALARY ) IN SANFRANSISCO

      HE CAME BACK WITHOUT TAKING THE INTERVIEW .. HE SAW HOBOS SHITTING ON STREETS FIRST HAND THE PREVIOUS EVENING WHEN HE WENT OUT AND DRUG NEEDLES , HUGE RATS , EVERYWHERE ..

      https://www.youtube.com/watch?v=sN9w4DZ0-t4

      EVEN IN NEW YORK HOBOS SIT AND SLEEP IN AC TRAINS THROUGHOUT THE DAY.. THEY HAVE FREE TRAVEL PASS.

      https://www.youtube.com/watch?v=VEOkX9dp85I

      JEW OBAMA IS RESPONSIBLE FOR THIS.

    1. CAPT AJIT VADAKAYIL WARNS PM MODI AND HEALTH MINISTER/ MINISTRY

      JUST BECAUSE AMERICA IS ADMINISTERING HYDROCHLOROQUINE TABLETS , INDIA DOES NOT HAVE TO DO IT..

      DONT WE HAVE COMMON SENSE ?..

      THIS IS THE FOURTH TIME I AM WARNING YOU..

      ##########################

      HYDROCHRLOQUINE DOES NOT AGREE WITH MANY DRUGS TAKEN BY AGED PEOPLE FOR PRESSURE/ DIABETES / CHOLESTROL ETC ..

      YOU WILL DAMAGE THE LIVER OF THE PATIENTS

      ###############################

      BELOW IS AN EXAMPLE OF MINDLESS COMBO DRUGS WHICH KILLED LAKHS OF INDIANS..

      http://ajitvadakayil.blogspot.com/2014/11/sterilisation-deaths-of-13-tribalwomen.html

      WARN THE STUPID IMA CHIEF.. DO NOT PLAY POLITICS.. WE DONT CARE FOR THIS MORON.. HE IS SUFFERING FROM "MUNGERILAL SYNDROME"..

      DISMANTLE IMA.. PACKED WITH AGENTS OF EVIL KOSHER PHARMA..

      capt ajit vadakayil
      ..

    1. CAPT AJIT VADAKAYIL ASKS CM PINARAYI VIJAYAN TO PAY HEED ..

      BRAINSTORM WITH DISTRICT COLLECTORS / THINK TANKS AND FORMULATE A FUTURE PLAN.

      THIS COMMENT BY CAPT AJIT VADAKAYIL BELOW IS PRICELESS. ALL THIS HAS BEEN SENT TO PM MODI MORE THAN 60 TIMES..

      MODI IGNORED IT.. HE WANTS ONLY VOTES AND ENDLESS EGO MASSAGE ..

      #####################################################

      KERALA HAS MADE THE HUGE MISTAKE IN THE PAST OF CONVERTING ALL OUR AGRICULTURAL LANDS WHICH PRODUCED RICE TO CASH CROPS AND HOUSING LANDS .. PEOPLE GO ABROAD OR OTHER STATES TO GET A JOB..

      THE REASON WHY THIS HAPPENED IS SUBDIVISION AND FRAGMENTATION OF LAND ..

      5 ACRES OF AGRICULTURAL PADDY FIELDS WHEN DIVIDED BETWEEN 5 CHILDREN REDUCES TO ONE ACRE..

      THE NEXT GENERATION WITH 5 CHILDREN REDUCED THIS TO 20 CENTS..

      WHAT AGRICULTURE CAN YOU DO WITH 20 CENTS OF LAND?

      PARASHURAMA GLEANED THIS FUTURE PROBLEM 6000 YEARS AGO.. HE STOPPED SUBDIVISION AND FRAGMENTATION OF FERTILE LANDS. HE CREATED THE RULE THAT ONLY THE ELDEST NAMBOODIRI SON CAN OWN FERTILE LAND..

      WHY DID PARASHURAMA THROW HIS AXE? WAS IT TO RECLAIM LAND FROM THE SEA?

      NO!

      HE WRESTED AWAY LAND FROM KERALA THIYYA ( WARRIOR KHATRIYA CLAN ) AND DONATED IT TO BRAHMIN NAMBOODIRIS..

      http://ajitvadakayil.blogspot.com/2011/10/worst-racists-on-planet-earth-capt-ajit.html

      QUOTING RACISM, THE BRITISH ALLOWED SUB-DIVISION AND FRAGMENTATION OF FERTILE LAND..

      THE BRITISH CONVERTED OUR SNAKE GROVES INTO CASH CROPS LAND AND DONATED IT TO WHOEVER CONVERTED TO CHRISTIANITY AND COMMUNISM.. JEW ROTHSCHILD WHO RULED INDIAN CREATED COMMUNISM..

      SARPA KAVUS WERE OUR AYURVEDIC HERB BANKS WITH THE BEST HUMUS LADEN SOIL ON THE PLANET.. NO ANIMAL , RODENT COULD SHIT HERE AND POLLUTE THE SOIL AND WATER.. TODAY WE HAVE LOST 95% OF OUR AYURVEDIC HERBS..

      http://ajitvadakayil.blogspot.com/2012/07/king-cobra-and-snake-temples-of-kerala.html

      EVEN TODAY FOR LIVER REGENERATION ONLY AYURVEDA PLANT KIZHAR NELLI IS THERE..

      http://ajitvadakayil.blogspot.com/2011/01/kizhar-nelli-quantum-medicine-capt-ajit.html

      EVERY STRAIN OF RICE GROWN IN KERALA HAD A PARTICULAR USE.. THIS RICE WAS PREVENTIVE MEDICINE..

      http://ajitvadakayil.blogspot.com/2015/09/gm-ir8-rice-high-amylose-content.html

      THIS CORONAVIRUS PANDEMIC IS A BLESSING IN DISGUISE..IT IS TIME TO PRIORITIZE..

      THE FIRST RESPONSIBILITY OF A GOVT IS TO ENSURE CLEAN AIR/ CLEAN ABUNDANT WATER AND ABUNDANT FOOD FOR THE CITIZENS..

      HOLLAND MAY NEED CHEMICAL FARMING.. KERALA / INDIA DOES NOT NEED IT.. WE WERE FOOLED BY JEWISH DEEP STATE AGENT MS SWAMINANTHAN.. WE LOST OUR RIVERS/ LAKES / GROUND WATER/ AQUIFERS AND BEST / THICKEST TOP SOIL ON THE PLANET

      READ ALL 7 PARTS OF THE POST BELOW--

      https://ajitvadakayil.blogspot.com/2019/03/india-must-revert-to-organic.html

      WE HAVE TO RECLAIM OUR GROUND WATER.. WE CANNOT HAVE A SITUATION WHERE THREE MONTHS AFTER A FLOOD, WE SUFFER FROM DROUGHT..

      READ ALL 6 PARTS OF THE POST BELOW--

      http://ajitvadakayil.blogspot.com/2017/05/ground-water-resources-of-india-capt.html

      ROTHSCHILD AGENT VERGHESE KURIAN IS THE REASON WHY PEOPLE OF INDIA FALL SICK.. HE CONRVETED OUR A2 MILK OF HUMPED COWS TO TOXIC A1 MILK OF WESTERN HUMPLESS COWS..

      http://ajitvadakayil.blogspot.com/2013/07/nutritious-a1-milk-of-vedic-cows-with.html

      BEFORE THE WHITE REVOLUTION , WHEN I WAS A SEVEN YEAR OLD BOY, THERE WERE ONLY 3 MEDICAL SHOPS IN CALICUT.. TODAY WE HAVE MORE THAN A 1000 MEDICAL SHOPS AND THEY DO ROARING BUSINESS ..

      AS PER AYURVEDA 85% DISEASES ORIGINATE IN THE STOMACH..

      KERALA MUST NOT DEPEND ON KARNATAKA. TAMIL NADU OR OTHER STATES FOR OUR FOOD..

      WE MUST PLANT POOLA KIZHANGU.. WE MUST PLANT NENDRAN PAZHAM.. WE HAVE SUFFICIENT COCONUTS AND FISH..

      THERE IS ONLY ONE GOOD VEG OIL ON THIS PLANET-- VIRGIN COCONUT OIL.. MY MOTHER MADE HER OWN COCONUT OIL BY DRYING COPRA AND EXTRACTING THE OIL FROM A NEARBY MILL.

      http://ajitvadakayil.blogspot.com/2012/08/coconut-oil-is-good-for-cooking-ignore.html

      TIME TO GO BACK TO BASICS..


      CONTINUED TO 2--
      1. CONTINUED FROM 1--


        FUTURE GENERATIONS WILL THANK YOU FOR THIS..

        THE SAME MILITANT KERALA LABOUR WHEN THEY GO TO SAUDI ARABIA BEHAVE LIKE SLAVES.. NAY-- LIKE WORMS..

        MAKE ALL YOUR MINISTERS WATCH THE VIDEO BELOW.. IT IS BETTER TO DIE THAN LIVE WITHOUT HONOUR..

        https://www.youtube.com/watch?v=K-pWwcqQm-I

        MALAYALI LABOUR OVER PRICED THEMSELVES, AND SO USLESS UNSKILLED TAILS CAME IN .. TODAY USKILLED TAMIL LABOUR CHARGE 900 RUPEES A DAY..

        SO NOW WE HAVE ROHINGYAS / BANGLADESIS AND BIHARIS WORKING IN KERALA… THIS IS MOST DANGEROUS..

        ALREADY AN SHAMSHEER ( WHO LOOKS LIKE AK GOPALAN ) THINKS HE IS THENEXT CM OF KERALA… KICK THIS STUPID AMBITIOUS FELLOW ON HIS BACKSIDE..

        HARNESS FAZAL GHAFOOR , HE IS NOT VERY BRIGHT.. HE WAS MY CLASSMATE..

        YESTERDAY ON TV HE WAS BOLD ENOUGH TO DECLARE THAT INDIAN MUSLIMS ARE SAFER IN FOREIGN ISLAMIC NATIONS..

        I ASK WHICH INDIAN MUSLIM IS WILLING TO MIGRATE TO PAKISTAN OR BANGLADESH ? HE WILL NEVER EVER AGREE TO GO TO ALEIN DNA NATIONS LIKE SAUDI/ KUWAIT ..

        IN ANTIQUITY MALABAR KERALA THIYAS RULED THIS PLANET.. PARASHURAMA THREW HIS AXE ON KERALA HINDU THIYYAS, LET THAT IDIOT MUSLIM LEAGUE LEADER SHAJI KNOW THIS ..

        http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html

        THE HEAT OF SUMMER AND HUMIDITY OF MONSOON WILL KEEP KERALA SAFE FROM CORONAVIRUS..

        https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

        capt ajit vadakayil
        ..


































    1. AS SOON AS TRUMP SAID --

      BAN ALL FLIGHTS TO AND FRO FROM CHINA

      WHO AND US CDC JUMPED UP TO RUN DOWN TRUMP

      WHO SAID THERE IS NO NEED TO WEAR MASKS.. ONLY INFECTED PEOPLE NEED WEAR.

      55% OF CORONAVIRUS AFFECTED PEOPLE SHOW NO SYMPTOMS AND THEY ARE SPREADING THE DISEASE..

      WITH ANNUAL BUDGET NEARING 7 BILLION USD, WHO MEMBERS LEAD LUXURIOUS LIVES --HOLDING FAAALTHU SEMINARS -- CALLING BRIBED DOCTORS APPROVED BY KOSHER EVIL PHARMA..

      https://globalnews.ca/news/5769443/big-pharma-paying-doctors-hospitals/

      IN INDIA DOCTORS ARE BRIBED BY EVIL PHARMA -- SEXUAL JAUNTS TO BANGKOK , FOR PEDOPHILE HOMOSEXUAL SEX.. EVEN WOMEN DOCTORS ARE PROVIDED YOUNG BOYS

      WHEN A EMINENT INDIAN SURGEON WAS MADE A SCAPE GOAT ,I HAD TO STEP IN AND WARN IMA..

      http://ajitvadakayil.blogspot.com/2014/11/sterilisation-deaths-of-13-tribalwomen.html

      KOHSER PHARMA ARE THE MAJOR DONORS TO INDIAN POLITICAL PARTIES..

      http://ajitvadakayil.blogspot.com/2016/03/say-no-to-hpv-vaccination-for-indian.html

      IN INDIA FLU SHOTS WERE MADE COMPULSORY FOR BABIES ( DEPOPULATION / FOGGY BRAIN MEASURE ) -- TILL I SAID, THESE FLU VIRUSES MUTATE EVERY SEASON..

      http://ajitvadakayil.blogspot.com/2017/05/flue-shots-pneumococcal-vaccines-capt.html

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF—
        IMA
        WHO
        WHO CHIEF
        CDC
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        BORIS JOHNSON
        MACRON
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        XI
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        GLOBAL TIMES EDITOR HU XIJIN
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        EVERY MLA OF INDIA
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        DR SANJAY GUPTA OF CNN USA

    BELOW: IF YOU UTTER THE WORD "TABLIGI" DESH DROHI JUDICIARY WILL PUT YOU IN JAIL


    THIS POST IS NOW CONTINUED TO PART 3 , BELOW








    CAPT AJIT VADAKAYIL
    ..

    THE DIRTY SECRETS OF EASTER HOLIDAY- CAPT AJIT VADAKAYIL

    $
    0
    0


    BELOW: EASTER IS CELEBRATED BY HINDUS ( PAGANS ) AT STONEHENGE EVERY YEAR 

    HINDU INDIANS WERE DRUIDS AND WIZARDS YOU SEE IN HARRY POTTER MOVIES.

    http://ajitvadakayil.blogspot.com/2011/01/mystery-of-stonehenge-solved-capt-ajit.html


    JEWESS HELENA COOKED UP HISTORY ( TORAH/ BIBLE/ JESUS/ MOSES ) AT THE FIRST COUNCIL OF NICEA IN 325 AD..

    SHE SAT ON THE SEAT OF THE POPE OF HER NEW RELIGION CHRISTIANITY.

    SHE DECLARED THAT THAT THE RESURRECTION TOOK PLACE ON A SUNDAY, AND HENCE  EASTER SHOULD ALWAYS FALL ON THE FIRST SUNDAY AFTER THE FIRST FULL MOON FOLLOWING THE VERNAL EQUINOX.


     EASTER HAS SINCE REMAINED WITHOUT A FIXED DATE BUT PROXIMATE TO THE FULL MOON, WHICH COINCIDED WITH THE START OF PASSOVER.

    THE EGG-TOTING EASTER BUNNY WAS COOKED UP BY THE POPE ON ORDERS FROM JEW ROTHSCHILDS AGENT MARTIN LUTHER SR ..  THE FIRST REFERENCE CAN BE FOUND IN A GERMAN TEXT DATING TO 1572 AD


    http://ajitvadakayil.blogspot.com/2015/03/protestant-christianity-created-by-jews.html

    GERMAN JEW MARTIN LUTHER SR  HELPED COMMERCIALIZE EASTER.  IT WAS MARTIN LUTHER’S LUTHERANS WHO CAME UP WITH THAT CUTE LITTLE CRITTER KNOWN AS THE EASTER BUNNY.  ORIGINATING AMONG GERMAN LUTHERANS, THE “EASTER HARE” ORIGINALLY PLAYED THE ROLE OF A JUDGE, EVALUATING WHETHER CHILDREN WERE GOOD OR DISOBEDIENT IN BEHAVIOR


    FROM THE NAME TO THE BUNNY, IT’S ALL GERMAN. THE NAME EASTER WAS FIRST APPROPRIATED BY THE CHRISTIAN CALENDAR. FIRST IT WAS THE PAGAN FESTIVAL OSTARA, CELEBRATED ON THE VERNAL EQUINOX, AROUND MARCH 21 IN THE NORTHERN HEMISPHERE. OSTARA WAS NAMED FOR THE PAGAN GODDESS OF SPRING, EOSTRE. 

    ACCORDING TO LEGEND, SHE ONCE SAVED A BIRD WHOSE WINGS HAD FROZEN DURING THE WINTER BY TURNING IT INTO A RABBIT. BECAUSE THE RABBIT HAD ONCE BEEN A BIRD, IT COULD LAY EGGS. AND SO IT BECAME THE EASTER BUNNY. AIYOOOO TOBAH TOAHBAAH

    YOU HAVE NO IDEA HOW BADLY GERMAN JEW ROTHSCHILD RAPED CHRISTIANITY








    RHODES SCHOLAR SAGARIKA GHOSE WANTED TO COLLECT EASTER EGGS ON GOOD FRIDAY..

    HOW DID SUCH A PEABRAIN BECOME RHODES SCHOLAR?   HER FATHER BHASKAR GHOSE WAS TOP GUN OF DOORDARSHAN..

    RAJIV GANDHHI KICKED HIM OUT THE HOUR HE FOUND OUT THAT BHASKAR BABY WAS A COMMIE AND A JEWISH DEEP STATE AGENT..

    WHY COLLECT EGGS?

    SMALL WHITE CHRISTIAN CHILDREN WERE BRIBED WITH CANDY BY POPEs AGENTS TO PLANT COLOURED EGGS ( SIGN OF DEVIL ) ON THE PROPERTY OF PAGAN HINDUS.

    .

    THEN A FRENZIED CHRISTIAN CROWD WOULD HOLLER “WITCHES / SNAKES “

    THEN THESE UNFORTUNATE HINDUS WERE BURNT ON THE STAKE.  HOW CAN SMALL CHILDREN LIE?

    MY REVELATIONS NOW JUMP TO 60.33 %




    TODAY THIS EVIL HISTORY HAS BEEN WHITEWASHED BY THE POPE.

    THE WORD PAGAN IS DERIVED FROM THE LATIN PAGANUS, MEANING ETRUSCAN HINDUS WHO LIVES IN ITALY.

     I AM AN ETRUSCAN.


    THE NAME EASTER COMES FROM AN ANCIENT HINDUS GODDESS SARASWATI ( THE DAWN OF COSMOS )  CALLED EOSTRE BY THE ANGLO-SAXONS AND OSTARA BY THE GERMANIC PEOPLES.  

    SHE IS ALSO KNOWN AS EOSTRA, EOSTRAE, EOSTAR, EASTRE, EASTER, ESTRE, EÁSTRE, AND AUSTRA BY VARIOUS EUROPEAN PEOPLES. HER NAME MEANS THE ORIGINAL PRIMORDIAL SOURCE OF LIGHT


    IN 325 AD, AT THE FIRST COUNCIL OF NICEA WHERE ROMAN EMPEROR CONSTANTIN THE GREAT COOKED UP A GOD NAMED JESUS CHRIST THE POPE WITH NO KNOWLEDGE OF ASTRONOMY FUCKED IT UP.


    THE STUPID POPE WANTED EASTER TO BE THE FIRST SUNDAY AFTER THE FULL MOON AFTER THE VERNAL EQUINOX.

    21 MARCH 325 AD IS THE DAY ALLOCATED TO IT IN THE EASTER TABLE OF THE JULIAN CALENDAR

    AT THIS COUNCIL THERE WAS AN HINDU KERALA ASTRONOMER FROM KODUNGALLUR UNIVERSITY WHO LOUDLY WARNED THE ROMAN EMPEROR NOT TO ALLOW THE ILLITERATE POPE SUCH SCIENTIFIC LIBERTIES --THAT SIDERIAL ZODIAC WILL DRIFT AWAY FROM TROPICAL ZODIAC AND CAUSE TERRIBLE CONFUSION LATER IN TIME

    JEWESS HELENA STANDARDIZED THE DATE OF PASSOVER TO A FIXED DATE IN THE HEBREW CALENDAR. NEITHER EASTER NOR PASSOVER HAVE A FIXED DATE IN THE SECULAR (STANDARD) CALENDAR.

     ON THE OTHER HAND, BOTH EASTER AND PASSOVER HAVE A RELATIONSHIP TO THE PASCHAL MOON. THE NAME "PASCHAL" IS DERIVED FROM "PASCHA", A TRANSLITERATION OF THE ARAMAIC WORD MEANING PASSOVER.


    FROM THAT POINT FORWARD, THE EASTER DATE DEPENDED ON THE ECCLESIASTICAL APPROXIMATION OF MARCH 21 FOR THE VERNAL EQUINOX.

    IN 2020 THE FULL MOON IS ON APRIL 8, WHICH IS ALSO THE DATE PASSOVER STARTS. .
    EASTER DAY IS THE FIRST SUNDAY AFTER THE PASCHAL FULL MOON - SO IF THE FULL MOON IS ON A SUNDAY, EASTER WILL BE A WEEK LATER. THEREFORE THE EARLIEST EASTER CAN BE IS MARCH 22, AND THE LATEST IS APRIL 25.

    SO SO SO—

    FOR CHRISTIANS, THE EASTER EGG IS SYMBOLIC OF THE RESURRECTION OF JESUS CHRIST. WHO NEVER EXISTED.

    JESUS CELEBRATED A PASSOVER MEAL WITH HIS FOLLOWERS THE DAY BEFORE HIS CRUCIFIXION, MARKED ON THE THURSDAY BEFORE EASTER SUNDAY.   

    SO THE DATE OF EASTER IS CONNECTED TO THE DATE OF PASSOVER. (PASSOVER COMMEMORATES THE LIBERATION OF THE JEWISH PEOPLE FROM SLAVERY IN EGYPT.)

    EASTER RANGES AROUND — SOMETIMES IN MARCH, SOMETIMES IN APRIL. SOMETIMES THERE IS SNOW, SOMETIMES TULIPS.

    EASTER EGGS ARE DYED RED TO REPRESENT THE BLOOD OF CHRIST, WITH FURTHER SYMBOLISM BEING FOUND IN THE HARD SHELL OF THE EGG SYMBOLIZING THE SEALED TOMB OF CHRIST — THE CRACKING OF WHICH SYMBOLIZED HIS RESURRECTION FROM THE DEAD.

    THE BULL HAS COME A LONG WAY INDEED !



    Read all 5 part of the post below—


    PAGANS ( HINDUS )  WERE FAMILIAR WITH THE CYCLES OF NATURE THAT MADE LIFE EVERLASTING. LIFE AND DEATH WERE NOT CONSIDERED PERSONAL EGO-BASED CONDITIONS AND FEARED AS THEY ARE IN CHRISTIANITY, BUT WERE SEEN AS STAGES OF GROWTH AND DECAY THROUGH WHICH EVERYTHING LIVING INEVITABLY PASSES.   

    INSTEAD OF BEING AFRAID AND NEEDING TO BE “SAVED” FROM LIFE, PAGANS LOVED THIS WORLD AND LIVED WITH HONOR AND RESPECT SO THAT THEY WERE ABLE TO HAVE THE BEST LIVES POSSIBLE.

     THE NOTION OF A “BETTER WORLD” REACHED BY DYING WAS NOT THEIR LIFE’S GOAL. INSTEAD, THEY BELIEVED IN MAKING THIS WORLD BETTER FOR EACH OTHER AND FOR THEIR CHILDREN.

    HERE “BETTER” DOES NOT CONCERN ITSELF WITH BEING MEEK OR MORALISTIC, BUT RATHER IS FOCUSED ON WHAT IS REAL AND HEROIC IN LIFE, WHILE ALSO PRESERVING ITS RICH ROOTS AND HERITAGE.

    THIS CONCEPTION OF LIFE IS THAT OF A LONG CHAIN TO WHICH EVERY CHILD IS ETERNALLY CONNECTED AND FROM WHICH HE INHERITS AN ENTIRE HISTORY AS HIS BIRTHRIGHT.

    LIES WONT WORK ANYMORE..  A BROWN BLOGGER IS IN TOWN !

    LET IS DANCE WITH PAAGALIKA GHOSE OVER SOME ANDA !






    1. https://ajitvadakayil.blogspot.com/2020/04/the-dirty-secrets-of-easter-holiday.html

      LET IS DANCE WITH RHODES SCHOLAR SAGARIKA GHOSE WHILE COLLECTING EASTER EGGS ON GOOD FRIDAY !
      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF--
        SAGARIKA GHOSE
        RAJDEEP SARDESAI
        TRUMP
        PUTIN
        BORIS JOHNSON
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        MCRON
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        PMO
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        MK VENU
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        THOMAS ISAAC –FINANCE MINISTER KERALA
        JOHN DAYAL
        KANCHA ILIAH
        JOHN ABRAHAM
        JAGAN REDDY

        SPREAD ON SOCIAL MEDIA



    BELOW: SPOT THE CUNT CONTEST


    INDIAN JOURNALISM AT ITS NADIR - 


    DID AMERICA TELL YOU TO BEHAVE BADLY?


    BELOW: UGLINESS ATTRACTS..

    PAAGALIKA GHOSE WITH RANA AYYUB ( JOB ).

    JEWESS RANA BABY HAS NOT READ THE "BOOK OF JOB ( AYYUB )"

    RANA AYYUB DOES NOT KNOW HER NAME AYYUB IS FROM KORAN..

    JOB IS AYYUB


    ALMOST ALL AYYUBS IN ISLAM ARE CRYPTO JEWS.





    1. SOMEBODY ASKED ME

      CAPTAIN

      YOU WROTE THAT YOU DUG UP RANA AYYUBs ANCESTRY FOR 178 YEARS..

      CAN YOU TEL US SOMETHING..

      NOT NOW-- I AM DIGGING FURTHER

      ALL I WILL TELL YOU NOW THAT HER FATHER WORKED FOR BLITZ .. HE WAS A COMMIE CRYPTO JEW..

      I HAVE DIRECT INFORMATION AS TO WHAT THIS FELLOW WAQUIF WAS UP TO..

      ISLAM AND COMMUNISM ARE LIKE OIL AND WATER, THEY CAN NEVER EVER MIX..

      I KNOW A LOT ABOUT BLITZ AND ROTHSCHILDs AGENT RK KARANJIA WHO MENTORED WAQUIF, RANA AYYUBs FATHER..

      ALL IN GOOD TIME..

      http://ajitvadakayil.blogspot.com/2013/11/altamas-kabir-worst-chief-justice-of.html

      capt ajit vadakayil
      ..




    1. Capt. Ajit Vadakayil December 30, 2019 at 11:21 AM

      SOMEBODY CALLED ME AND CRIED..

      CAPTAIN WHY DID YOU MENTION THAT TED KACZYNSKI WAS READING VICTOR HUGOs BOOK "LES MISERABLES" ?

      THIS BOOK TELLS THE STORY OF REDEMPTION AND REVOLUTION ON THE STREETS OF PARIS—FULL OF LIES AND DOGMA..

      THEMES IN LES MISERABLES ARE SOCIAL JUSTICE/HUMAN RIGHTS, CLASS CONFLICTS THAT RESULT FROM THIS STRUGGLE,

      FRENCH REVOLUTION WAS CONDUCTED BY ROTHSCHILD’S FREEMASONS..

      http://ajitvadakayil.blogspot.com/2015/11/the-french-revolution-conceived-and.html

      VICTOR HUGO’S FUNERAL ATTRACTED MORE THAN TWO MILLION PEOPLE, ONE OF THE LARGEST MASS MOBILIZATIONS EVER SEEN IN PARIS AND MORE THAN THE CITY’S TOTAL POPULATION AT THE TIME. JEW ROTHSCHILD TRANSPORTED THE CROWDS TO THE FUNERAL..

      THE PROPAGANDA WAS HIS FUNERAL IS TRULY A FESTIVAL OF THE OPPRESSED, AS WORKERS, THE POOR, AND THE EXPLOITED ARRIVED EN MASSE TO CELEBRATE THE LIFE AND WORK OF A MAN WHO HAD GIVEN VOICE TO THE VOICELESS. IN REALITY HE WAS ROTHSCHILDS AGENT..

      VICTOR HUGO INSPIRES RADICALS WHO WANT TO REVOLT. HE SOWS THE SEEDS IN THE MIND— LIKE THE “BOOK OF JOB”..

      HE REVELED IN SJOWCASING AN INCHOATE COMMITMENT TO RAISING SOCIAL JUSTICE ISSUES AND GIVING VOICE TO THE OPPRESSED—WITH LIES AND PROPAGANDA ..

      IF THERE IS ONE CENTRAL MESSAGE OF THE NOVEL, IT IS THAT NO ONE IS BORN GOOD OR EVIL; IT IS SOCIETY THAT MAKES ONE SO OR—TED KACZYNSKI WAS IMPRESSED WITH HIS ON SELF ANALYSIS.. HE WAS A VICTIM.. PERSECUTION MANIA AT ITS BEST..

      CRIMINALS ARE A PRODUCT OF THE CRIMINAL JUSTICE SYSTEM. . .AND THE BURDEN OF GUILT LIES WITH SOCIETY. . .. RATIONAL REFORM OF INSTITUTIONS SHOULD TAKE PRECEDENCE OVER THE PUNISHMENT OF INDIVIDUALS.

      WRITTEN FOR THE MASSES, HUGO WROTE HISTORY FROM THE POINT OF VIEW OF THE POOR, THE OPPRESSED, THE EXPLOITED, AND THE FORGOTTEN. AS THE BOOK’S TITLE ITSELF ANNOUNCES, IT IS THE TALE OF THE WRETCHED OF THE EARTH. THE COLLECTIVE IMMISERATION OF THE MAJORITY OF PEOPLE IS THE CRIME THE NOVEL EXPOSES.

      AS TOLD TO NANAK CHAND HIS FAVOURITE BOOKS WERE: 1) LIFE OF TOLSTOY 2) LES MISÉRABLES BY VICTOR HUGO.. HE WAS INTRODUCED TO THESE BRAINWASHERS BY JEW JOHN DEWEY, THE COMMIE PROFESSOR OF COLUMBIA UNIVERSITY

      THE NOVEL CONTAINS A HEAVY RELIGIOUS AND SPIRITUAL BENT, BRAINWASH IN ITS MOST ASTUTE FORM

      THE NOVEL ITSELF BEGINS WITH THE BISHOP MYRIEL, A SAINTLY MAN WHO THROUGH AN ACT OF CHARITY REDEEMS VALJEAN WHEN PRISON AND PAROLE HAVE ALMOST COMPLETELY ROBBED HIM OF HIS HUMANITY. EVEN THIS SECTION, HOWEVER, WAS CHANGED AFTER 1848.

      IN A NOTABLE ADDITION, HUGO INCLUDED AN INCREDIBLE SCENE IN WHICH THE BISHOP TALKS TO A REVOLUTIONARY FROM 1789, A MEMBER OF THE CONVENTION WHO WOULD VOTE TO EXECUTE LOUIS THE XVI. ON HIS DEATHBED, THE CONVENTIONNEL GIVES AN IMPASSIONED DEFENSE OF REVOLUTIONARY VIOLENCE AND IN A REVERSAL OF ROLES, THE SCENE ENDS WITH THE BISHOP ASKING FOR HIS BLESSING.

      LES MISÉRABLES ACTUALLY BEGAN IN THE 1840S AS A NOVEL ABOUT JEAN TRÉJEAN, A PRUNER WHO BREAKS A WINDOW TO STEAL A LOAF OF BREAD TO FEED HIS SISTER AND HER SEVEN CHILDREN WHO ARE LITERALLY STARVING TO DEATH. HE IS IMPRISONED FOR NINETEEN YEARS: FIVE YEARS FOR THE CRIME AND AN ADDITIONAL FOURTEEN FOR TRYING TO ESCAPE.

      THIS CHARACTER WOULD BECOME JEAN VALJEAN, THE NOVEL’S FAMOUS PROTAGONIST. IN ITS FIRST INCARNATION, LES MISÉRABLES WAS A PROTEST AGAINST POVERTY, A LOVE STORY, AND A RELIGIOUS OR MORAL STORY, BUT MORE THAN ANYTHING ELSE IT WAS A CRITIQUE OF THE INHUMANITY OF THE CRIMINAL JUSTICE SYSTEM.

      HUGO ARGUED, “IF YOU WISH TO UNDERSTAND WHAT REVOLUTION IS, CALL IT PROGRESS; AND IF YOU WISH TO UNDERSTAND WHAT PROGRESS IS, CALL IT TOMORROW.

      ROTHSCHILD SHOWCASED HIS AGENT JEW VICTOR HUGO AS A MESSIAH, A REFORMIST IN AN AGE WHEN REVOLUTIONS WERE OFTEN NEEDED TO WIN REFORMS. LES MISÉRABLES LEAVES BEHIND A POWERFUL LEGACY OF THE POOR AND OPPRESSED RISING UP TO FIGHT FOR WHAT RIGHTFULLY BELONGS TO THEM..

      CONTINUED TO 2--
      1. Capt. Ajit VadakayilDecember 30, 2019 at 11:22 AM
        CONTINUED FROM 1-

        HUGO CELEBRATED, ROMANTICIZED, AND MADE HEROES OF PROSTITUTES, CONVICTS, HOMELESS CHILDREN, AND ALL PEOPLE WHO IN THE FACE OF THE CATASTROPHES, BRUTALITY, AND MISERY OF MODERN HISTORY CHOSE TO RESIST—OR, AT THE VERY LEAST, DEFIANTLY SHOUTED “MERDE ! ” ( FUCKIN’ SHIT ) EVEN WHEN THERE WAS NOTHING LEFT TO SALVAGE.

        IT MADE THE GENERAL AN EPONYM, OF SORTS. AFTERWARDS, WHEN EUPHEMISMS FOR “MERDE” WERE NECESSARY, IT BECAME THE “MOT DE CAMBRONNE”

        BEYOND THE BARRICADES, HUGO POINTS THE WAY TO ANOTHER WORLD, ONE IN WHICH, ONE HOPES, LES MISÉRABLES WILL CONTINUE TO EXIST, BUT SOLELY AS A REMINDER OF A TERRIBLE TIME WHEN WOMEN WERE FORCED TO SELL THEIR BODIES TO SUPPORT THEIR CHILDREN, PEOPLE WERE LOCKED IN JAILS FOR TRYING TO FEED THEIR FAMILIES, AND ALL THE BEST OF HUMANITY WAS SQUASHED BY AN INEXORABLE PURSUIT OF PROFIT.

        ROTHSCHILD GAVE VICTOR HUGO HIS REPUTATION AS A RADICAL, OUTSPOKEN POLITICAL WRITER WHO LENT HIS VOICE AND SUPPORT TO MOVEMENTS ALL OVER THE WORLD.

        JEW ROTHSCHILD RELEASED VICTOR HUGO’S BOOK “LES MISERABLE”.. IT WAS ONE OF “THE BIGGEST OPERATIONS IN PUBLISHING HISTORY,” RELEASED WITH GREAT FANFARE IN “PARIS, LONDON,

        VICTOR HUGO GAINED IMMENSE LITERARY AND POLITICAL PRESTIGE IN SOUTH AMERIRCA—AND JEWS EXPLOITED HIS NAME AND LEGACY TO STEAL AND GRAB POWER..

        SUBKO CHOOTIYA BANAYA..

        THE FRENCH QUEEN NEVER SAID “IF YOU DON’T HAVE BREAD , EAT CAKE”.. SHE WAS BEHEADED FOR THIS..

        WHEN THE CHRISTIAN MOB DRAGGED HINDU THIYYA WOMAN MATH PROFESSOR HYPATHIA NAKED ON THE STREETS INFLICTING CUTS ON HER BODY-- YOU SAID THEY WERE RECITING PASSAGES FROM THE "BOOK OF JOB" ..

        JOB , A HERO IN JUDAISM/ CHRISTIANITY/ ISLAM WAS CREATED BY JEWESS HELENA IN 325 AD.

        FRENCH AUTHOR VICTOR HUGO ( HIS FATHER WAS A JEW ) A BRAINWASH EXPERT , ONCE SAID-- IF ALL THE BOOKS ON THE PLANET ARE GONNA BE BURNT, IF ONE VALUABLE BOOK HAS TO BE SAVED , THAT IT IS THE "BOOK OF JOB".


        THIS CHOOTIYA "BOOK OF JOB' DRIPPING WITH MINDLESS DOGMA , MUST BE THE FIRST BOOK THAT SHOULD GET BURNT..

        THE DEATH OF DOGMA IS THE BIRTH OF REALITY-- SANATANA DHARMA ROOTED IN DHARMA , IS IN THE REALM OF REALITY..

        WHILE CUTTING UP HYPATHIA WITH KNIVES THE CHRISTIAN MOB AND A PRIEST WERE GIVING QUOTES FROM THE "BOOK OF JOB" TELLING HER TO ENJOY THE SUFFERING..

        THIS IS WHAT EVIL MOTHER TERESA ALSO DID, AS SHE CONVERTED THE DYING HINDU INTO CHRISTIANITY..


        BOOK OF JOB BRAINWASHED--

        GOD TEACHES PEOPLE THROUGH SUFFERING.. THIS WAS THE DOGMA OF INQUISITIONS..


        JOB WAS SUFFERING TREMENDOUSLY; OBVIOUSLY, THEREFORE, HE WAS GUILTY OF GRIEVOUS SINS — SINS HE HAD CONCEALED, REFUSING TO CONFESS HIS WRONGS TO GOD. YOU SEE, CONFESSIONS IS A TOOL FOR CLERGY AND POPE TO GRAB POWER..

        THROUGH HIS SUFFERINGS, JOB ALSO RECEIVED A GREATER REVELATION OF HIS ARROGANT SELF AND WAS ABLE TO ABHOR HIS PRIDE AND REPENT IN DUST AND ASHES.

        IN SANATANA DHARMA WE HINDUS ARE NEVER ASKED TO REPENT..

        THROUGH JOB'S SUFFERINGS, HE RECEIVED A DEEPER, HIGHER, BROADER, AND LONGER REVELATION OF GOD AND HIS ALMIGHTY POWER.. TEE HEEEEE..

        BOOK OF JOB IS ABOUT " GODs WILL " SOMETIMES ASSISTED BY THE SATAN..

        KILL PAGANS , SNATCH AWAY THEIR WEALTH, IT IS GODS WILL. WE KNOW HOW THE WHITE INVADER CONVERTED INDIA FROM THE RICHEST NATION ON THE PLANET TO THE POOREST IN 200 YEARS FLAT..

        BEFORE 7000 BC INDIA RULED THE WHOLE PLANET,, WE NEVER TOOK, WE ONLY GAVE..

        JOB'S PAIN IS NOT THE PAIN OF THE EXECUTIONER'S WHIP BUT THE PAIN OF THE SURGEON'S SCALPEL. JOB IS BROUGHT TO “SUBMISSION AND WORSHIP”..

        CONTINUED TO 3--

      2. Capt. Ajit VadakayilDecember 30, 2019 at 11:23 AM
        CONTINUED FROM 2--

        YAHWEH IS A JEALOUS GOD AND HE WILL TOLERATE NO CONTENDERS FOR THE RULE OF THE UNIVERSE.

        IT IS ESPECIALLY CLEAR THAT YAHWEH WILL NOT TOLERATE THE EXISTENCE OF FEMALE DEITIES IN ABRAHAMIC RELIGIONS..

        AND PROFESSOR HYPATHIA INTELLIGENT/ BEAUTIFUL / COMPASSIONATE WAS A DEITY FOR HER STUDENTS..

        GERMAN JEW LEO TOLSTOY , WHO FANNED THE DYING EMBERS OF THE FAILED DECEMBRIST REVOLUTION OF 1825 TO IGNITE THE BOLSHEVIK REVOLUTION OF 1917.. TOLSTOY BRAINWASHED GANDHI ..

        http://ajitvadakayil.blogspot.com/2019/08/german-jew-leo-tolstoy-who-fanned-dying.html

        FREEMASON SIMON BOLIVAR WAS JEW ROTHSCHILD’S AGENT.. ROTHSCHILD CONVERTED HIM TO THE “FATHER OF SOUTH AMERICA”.

        http://ajitvadakayil.blogspot.com/2019/11/paradox-redemption-victory-in-defeat.html
        DURING THE AMERICAN CIVIL WAR, ROTHSCHILD LED BOTH SIDES.. VICTOR HUGO HAD A PARTICULAR APPEAL IN A CIVIL WAR-TORN UNITED STATES. SOLDIERS ON BOTH SIDES OF THE WAR BROUGHT LES MISÉRABLES WITH THEM INTO BATTLE AND READ IT IN THE TRENCHES..

        YOU CAN GET ALL THESE TRUTHS ONLY FROM VADAKAYIL

        NO WONDER JEW ROTHSCHILDs AGENCIES FACEBOOK/TWITTER/ QUORA/ WIKIPEDIA BANS THE NAME VADAKAYIL..

        Capt ajit vadakayil
        ..


    1. SOMEONE ASKED ME..

      CAPTAIN COULD YOU TELL SOMETHING ABOUT RANA AYYUBS FATHER AND GRANDFATHER ..

      HER FATHER WAQUIF KHAN WAS RK KARANJIAs LACKEY AT YELLOW MAGAZINE BLITZ..

      HE WAS PART OF ROTHSCHILDs PROGRESSIVE WRITERS MOVEMENT OF JEW ROTHSCHILD SET UP IN 1934 AT LONDON PACKED WITH COMMIE CRYTO JEWS, MOST WITH USLIM NAMES …

      KATJUs HERO , FAIZ AHMAD FAIZ WAS SUCH A COMMIE JEW..

      OPIUM DRUG RUNNER JEW ROTHSCHILD RULED INDIA ..

      TEHELKA WAS MODELLED AFTER BLITZ… RANA AYYUB WORKED FOR TEHELKA AND WE KNOW WHAT HER RELATIONSHIP WITH DEEP STATE AGENT TARUN TEJPAL SHE HAD ..

      I HAVE FOUND OUT FROM ONE OF MY PAKISTANI KHAN OFFICERS FROM PESHWAR THAT RANA AYYUBs GRANDFATHER WAS FROM HIS VILLAGE AND HE WAS A BANI ISRAEL PASHTUN KHAN JEW..

      RANA AYYUB IS SPONSORED BY EVERY JEWISH MEDIA OWNED BY THE JEWISH DEEP STATE. SHE IS A WRITER FOR ROTHSCHILDs WASHINGTON POST IN THE GLOBAL OPINIONS SECTION.

      SHE IS 37 YEARS OLD AND NOT MARRIED AND I HAVE FOUND OUT WHY..

      IRANIAN CHRISTIAN AMANPOUR PRETENDS TO BE A MUSLIM WHILE SHE IS A JEW WORKING FOR THE JEWISH DEEP STATE . I HAVE PROFILED HER USING MY IRANIAN SOURCES..

      http://ajitvadakayil.blogspot.com/2017/04/the-most-evil-journalist-capt-ajit.html

      WHEN I WRITE A FULL POST ABOUT RANA AYYUB, SHE WILL BE STONED BY HER KASHMIRI MUSLIM FANS.. IT WILL SHAKE THE FOUNDATIONS OF KASHMIRI TERRORISM..

      Capt ajit vadakayil
      ..


    BELOW:   HYPATIAs KERALA NAMBOODIRI FATHER ON DEPUTATION FROM KODUNGALLUR UNIVERITY OWNED BY THE CALICUT KING, TAUGHT MATH AND ASTRONOMY IN THE SAME ALEXANDRA UNIVERSITY

    THE CALICUT KING OWNED THE LIBRARY OF ALEXANDRIA






    BELOW ARE QUESTIONS TO QUORA ..


    187 - is capt ajit vadakayil right when he says – empress helena converted all hindu temples in jerusalem to christian churches and then she travelled second time to the shiva temple at mount sinai , an ancient pagan pilgrimage centre , to convert it to a church..

    188 - is capt ajit vadakayil right when he says – today the saint catherine church stands at the spot of the ancient shiva temple off mount sinai..

    189 - is capt ajit vadakayil right when he says – like how kerala hindu sage apollonius of tyana was replaced by cooked up jesus christ, same way hindu female professor hypathia of alexandria university was replaced by fake christian catherine..

    190 - is capt ajit vadakayil right when he says – both hypathia and her father were on deputation from kodungallur university owned by the calicut king to university of alexandria to teach math, astronomy , philosophy and ayurveda..

    191 - is capt ajit vadakayil right when he says – hindu professor hypathia was killed by the pope using a christian mob under saint archibishop cyril on the streets of alexandria …. 

    192 - is capt ajit vadakayil right when he says – hypathia was so much admired by her christian students at the university of alexandria, for her beauty , intellect and compassion that they formed a resistance group and built temples for her..  the way romans did for apollonius of tyana



    AS THE CHRISTIAN MOB THREW STONES ON KERALA NAMBOODIRI PROFESSOR HYPATIA AND SLICED HER WITH SHARP KNIVES ..


    CHRISTIAN PRIESTS WHO DRAGGED BLEEDING HYPATHIA BY HER LONG  HAIR THROUGH THE STREETS OF ALEXANDRIA RECITED VERSES FROM  THE "BOOK OF JOB"  .. 



    HYPATIA KNEW THAT SHE AND HER FATHER WOULD BE KILLED AND THE PRICELESS LIBRARY OF ALEXANDRA WOULD BE BURNT DOWN

    SHE SAVED SOME BOOKS 


    BALLS TO WIKIPEDIA, 

    BALLS TO HISTORY TV CHANNEL, 

    BALLS TO POPE, 

    BALLS TO ROTHSCHILD HISTORIANS 




    http://ajitvadakayil.blogspot.com/2015/10/true-founder-of-christianity-jesus.html


    READ ALL 5 PARTS OF THE POST BELOW--

    https://ajitvadakayil.blogspot.com/2016/04/apollonius-or-jesus-christ-who-is-real.html


    Hypatia's death ( hacked into pieces on the streets ) is a watershed mark in history delineating the classical age of Hindu paganism from the age of Christianity.

    For burning down the University of Alexandria and its library , causing a mass exodus of Pagan intellectuals Cyril, and Christianization of Alexandra, Cyril was later declared a saint by the church for his efforts in suppressing BAD paganism and fighting for the true and GOOD Christian faith.   

    Cyril was made Pope or Patriarch of Alexandria on 18 October 412


    When Honorius and Theodosius issued one of their final edicts regarding pagans (CTh. XVI.10.22) in AD 423, they felt obliged to remark that "We now believe that there are none." The ancient temples and those who had worshipped there were no more.

    Constantine the Great was killed by his own son and converted to Christianity one hour after his death  to make him the first Christian emperor.  Dead Constantine was baptised by Pope Sylvester I .








    1. SOMEONE CALLED ME UP AND ASKED ME

      WHEN THE CHRISTIAN MOB DRAGGED HINDU WOMAN PROFESSOR HYPATHIA NAKED ON THE STREETS INFLICTING CUTS ON HER BODY-- YOU SAID THEY WERE RECITING PASSAGES FROM THE "BOOK OF JOB" ..

      WHAT IN THE NAME OF CHARLES BRONSON IS ALL THIS ?

      WELL--

      JOB , A HERO IN JUDAISM/ CHRISTIANITY/ ISLAM WAS CREATED BY JEWESS HELENA IN 325 AD.

      FRENCH AUTHOR VICTOR HUGO ONCE SAID-- IF ALL THE BOOKS ON THE PLANET ARE GONNA BE BURNT, IF ONE VALUABLE BOOK HAS TO BE SAVED , THAT IT IS THE "BOOK OF JOB".

      CAPT AJIT VADAKAYIL ON THE CONTRARY, WHO CAN FIT THE ENTIRE INTELLECT OF VICTOR HUGO UNDER THE FORESKIN OF HIS UNCIRCUMCISED PRICK AND HAVE PLACE FOR 99.99 % MORE -- DECLARES--

      THIS CHOOTIYA "BOOK OF JOB' DRIPPING WITH MINDLESS DOGMA , MUST BE THE FIRST BOOK THAT SHOULD GET BURNT..

      THE DEATH OF DOGMA IS THE BIRTH OF REALITY-- SANATANA DHARMA ROOTED IN DHARMA , IS IN THE REALM OF REALITY..

      https://www.youtube.com/watch?v=p9k6zekt44M

      WHILE CUTTING UP HYPATHIA WITH KNIVES THE CHRISTIAN MOB AND A PRIEST WERE GIVING QUOTES FROM THE "BOOK OF JOB" TELLING HER TO ENJOY THE SUFFERING..

      THIS IS WHAT EVIL MOTHER TERESA ALSO DID, AS SHE CONVERTED THE DYING HINDU INTO CHRISTIANITY..

      http://ajitvadakayil.blogspot.com/2011/02/diabolical-ministering-angel-mother.html

      BOOK OF JOB BRAINWASHED--

      GOD TEACHES PEOPLE THROUGH SUFFERING.. THIS WAS THE DOGMA OF INQUISITIONS..

      http://ajitvadakayil.blogspot.com/2016/09/portuguese-inquisition-is-goa-by-jesuit.html

      There can be NO inquisition in Hinduism. You cannot be a Hindu heretic , because there is no standard set of dogmas in Hindu faith , written or unwritten, from which deviation could make you a heretic. A true Hindu will not exploit vulnerability. Hinduism does not allow you to breach a trust..

      Job was suffering tremendously; obviously, therefore, he was guilty of grievous sins — sins he had concealed, refusing to CONFESS his wrongs to God. You see, confessions is a tool for clergy and POPE to grab power..

      Through his sufferings, Job also received a greater revelation of his arrogant self and was able to abhor his pride and REPENT in dust and ashes.

      In Sanatana Dharma we Hindus are never asked to repent..

      In Islam the people run out of mosques after Friday prayers and kill non-believers enmasse-- and rape their women. Then they repent with a namaz prayer to the MERCIFUL god..

      In Sanatana Dharma there are no fundamentals or . You cannot get ex-communicated for NOT toeing the line. Hinduism is based on reason and NOT faith--unless the faith is an extension of reason.

      Through Job's sufferings, he received a deeper, higher, broader, and longer revelation of God and His almighty power.. TEE HEEEEE..

      BOOK OF JOB IS ABOUT " GODs WILL " SOMETIMES ASSISTED BY THE SATAN..

      KILL PAGANS , SNATCH AWAY THEIR WEALTH, IT IS GODS WILL. WE KNOW HOW THE WHITE INVADER CONVERTED INDIA FROM THE RICHEST NATION ON THE PLANET TO THE POOREST IN 200 YEARS FLAT..

      BEFORE 7000 BC INDIA RULED THE WHOLE PLANET,, WE NEVER TOOK, WE ONLY GAVE..

      Job's pain is not the pain of the executioner's whip but the pain of the surgeon's scalpel. Job is brought to “Submission and Worship”..

      Yahweh is a jealous God and he will tolerate no contenders for the rule of the universe.

      It is especially clear that Yahweh will not tolerate the existence of female deities in Abrahamic religions..

      AND PROFESSOR HYPATHIA INTELLIGENT/ BEAUTIFUL / COMPASSIONATE WAS A DEITY FOR HER STUDENTS..

      In ranking the divine attributes, the POPE placed divine omnipotence first, even before God's goodness or his omniscience.

      What we see in much ABRAHAMIC religion theology is an undisguised worship of raw, unadulterated power.

      This addiction to power has driven the ABRAHAMIC patriarchal social and political systems that we still contend with today.

      AND IMAGINE CUNT NAMED JACK DORSEY IS PUTTING A PLACARD IN OUR FACES ABOUT "BRAHMINICAL PATRIARCHY "..

      CONTINUED TO 2--
      1. CONTINUED FROM 1--

        Hinduism celebrates an internal spiritual power that is spiritually persuasive ( by SHRADDHA not BHAKTI ) not coercive and aggressive in nature.

        The word BHAKTI does not appear in the Vedas.

        All BHAKTI insersions in Vedas , Bhagawad Gita and Upanishads have been done by the EVIL white invader-- to DIVIDE AND RULE

        SHRADDHA implies self–reliance on an inner voice , an independent sense of right and wrong by conscience , and the courage of one’s own conviction. Any form of religious fundamentalism ( seen is Abrahamic religions ) is not SHRADDHA but blind belief to VESTED dogma..

        In Sanatana Dharma , shraddha is not an unexamined or unconditional trust, but rather a conviction and confidence in the truth and efficacy of the dharma or teaching of truth to purify and liberate.

        Sanatana Dharma is based on the inner voice of the soul. The soul within you is part of Brahman ( god ) the morphogenetic mother field of consciousness..SHRADDHA is a combination of the desire to seek truth, the perseverance while working on the path, and the firm conviction in truth's existence. It is more than just a belief..

        SHRADDHA must be born out of awareness, clarity, discrimination, maturity and responsibility.

        ONLY SANATANA DHARMA OFFERS SPIRITUALITY.

        HINDUISM IS THE ONLY RELIGION WHICH IS NOT MAN MADE.

        The Hindu spirituality tradition , unlike other religions -- has always concerned itself with the “human” situation rather than the “our religion “ situation.

        Under the doctrine of karma, the ability to make choices remains with the individual-and NOT what is being told as gospel in a holy book .

        Loaded truth is delivered or revealed from a divine source and enters the world through a single agent: for example, Abraham in Judaism, Jesus Christ in Christianity, and Muhammad in Islam.

        Laws of Karma and Dharma has guided the Hindu since time immemorial . There was never any DOGMA lumped down the Hindu’s throat.

        A subjective morality is one rooted in human feelings and conscience . Natural justice is inherent. These are the things that are most important to us, indeed the only things important to us!

        SANATANA DHARMA IS SUBJECTIVE. SUBJECTIVE IS STRICTLY WITHIN HUMANS BEINGS –IT DERIVES FROM OUR INTANGIBLE CONSCIENCE ALONE.

        NO MAN CAN MANIPULATE OR SILENCE HIS CONSCIENCE. WE ARE NOT THE SOURCE OF OUR OWN CONSCIENCE.

        MORALITY IS DOING WHAT IS RIGHT, REGARDLESS OF WHAT YOUR ARE TOLD.

        Hinduism was developed along spiritual lines, NOT religious lines—the reason why 800 years of slavery could NOT stamp out this amazing way of life..

        Hinduism is NOT a religion, it is the practice of spirituality by elevating human consciousness in the personal quest for truth.

        Ask the Jews—they will say HINDU India is the only place where they never got persecuted over thousands of years—they always ran here for refuge.

        THERE IS NO HEAVEN OF HELL IN SANATANA DHARMA..

        GETTING BACK TO "BOOK OF JOB"---

        ######## Believe with all your heart in the absolute sovereignty of God-- OR be prepared to go to hell.

        ###### Believe with all your heart that everything he does is right and good OR be prepared to go to hell.

        ####### LUMP God's will down your throat OR be prepared to go to hell.

        SO SO SO

        Book of Job is THE place to turn when you suffer.. This is why HYPATHIA was given truckloads of funds from the BOOK OF JOB while she was being dragged naked on the streets , being sliced and bled..

        You see , like Mother teresa whispered into the suffering people abut to die ( without pain killers ) there is a God’s purpose in allowing such suffering..

        You see, Job-like suffering grants us a new vision of God.

        CONTINUED TO 3-

      2. CONTINUED FROM 2--

        The omniscient God knows that human happiness can be achieved only by a surrender to the Creator of mankind (Eccl. 12:13), and the reception of forgiveness from him.

        When Satan’s initial blows hit Job (loss of prosperity and the deaths of ten children) in brutal, rapid-fire succession, the patriarch exhibited a remarkable fortitude. “The Lord gaveTH , and the Lord takeTH away; blessed be the name of the Lord” (1:21).

        HAALELUJAAHHH !

        The ideology was this: A man’s suffering is always the result of his personal sin. for which he must REPENT and CONFESS to a middleman priest..

        In Islam, Judaism, and Christianity God is seen as a cosmic king, exerting sovereign and uncontested rule over the universe and everything in it

        IN COMPARISON --CHECK OUT WHAT A HINDU GOD IS.. READ THE LINK BELOW..

        http://ajitvadakayil.blogspot.com/2018/09/sanatana-dharma-hinduism-exhumed-and.html

        i have read all relious books of Abrahamic religions.. I know what they are worth..

        IF SANATANA DHARMA IS A PRISTINE ENDLESS OCEAN, ALL THESE RELIGIONS TOGETHER CONSTITUTE A DROP OF DIRTY WATER..

        In the Book of Job Satan has become a separate agent, and he appears to be one of the subordinate deities in Yahweh's divine council. In the case of Job, he is Yahweh's agent provocateur.

        God does not answer Job's questions or charges, but though he proclaims the greatness of his all-might, not his ethical rule, Job is satisfied. In other words, Yahweh proves his omnipotence, but not his goodness.

        Yahweh's speech from the whirlwind is a display of raw cosmic power, peppered with pointless questions to Job, such as "where were you when I laid the foundations of the earth" (38:4)? BRAAAYYYYYYYYYYYY..

        Yahweh's answer to Job is evasive, defensive, and insultingly irrelevant. Job always knew that the god was powerful. It is not clear that he has learned anything new, except that the god can also be arrogantly sarcastic..

        Yahweh's answer out of the whirlwind is that he is simply reaffirming his divine prerogatives. Job is a mere creature, and he has no right to judge God, the creator and sovereign ruler of the universe.

        You see, one of God's prerogatives is the absolute right to use his creatures in any way, Yahweh's answer is too much like the patriarch's: "I am your father; I brought you into the world; and you will do as I say."

        Speaking to Satan, he admits that "you (Satan) moved me against him, to destroy him without cause" (2:3). Please note who is doing the moving against Job: it is not Satan; it is Yahweh himself.

        Yahweh does not say: "I allowed you, Satan, on your own power, to move against Job"; instead he says: "You persuaded me to move against Job."

        AIYOOOO

        TOBA TOABBAAAHHHHH.

        God is a capricious tyrant (9:18-19), a corrupt judge (9:20-29), a wild beast that has torn his flesh (16:7-9), and a ruthless warrior (6:4,9; 16:12-14; 19:18-19).

        Job's wife? She is the first to stand up to Yahweh with her famous "Curse God and die!"
        Muslim commentators thought that she was either Rahmat, the daughter of Joseph's son Ephraim, or Makhir, the daughter of Manasses.

        According to the Koran, Job's wife miraculously regains her youth and bears Job 28 sons.

        The KOSHER Masoretic text spares her this burden and has her giving birth to only ten more children.

        Job is a righteous man favored by Yahweh. Job 1:6-8 describes the "sons of God" presenting themselves before Yahweh. Yahweh asks "the satan", where he has been, to which he replies that he has been roaming around the earth.

        Yahweh asks, "Have you considered My servant Job?" The satan replies by urging Yahweh to let him torture Job, promising that Job will abandon his faith at the first tribulation.


        CONTINUED TO 4--
      3. CONTINUED FROM 3--

        Yahweh consents; the satan destroys Job's servants and flocks, yet Job refuses to condemn Yahweh. The first scene repeats itself, with the satan presenting himself to Yahweh alongside the other "sons of God".

        Yahweh points out Job's continued faithfulness, to which the satan insists that more testing is necessary; Yahweh once again gives him permission to test Job.

        TESTING TESTING 12345--- 54321--

        In the end, Job remains HAJAAAAR faithful and HAJAAAAR righteous

        Job is a rebuke to the so-called “prosperity gospel,” which claims that those in right relationship with God are always blessed with prosperity. This is simply not true, and Job is Exhibit Number- One.

        BE A HEDONIST..

        Job chooses to remain faithful to God. He understands that God’s wisdom is beyond his understanding. It reveals that wisdom “is not found in the land of the living” (Job 28:13), but in the mind of God. “God understands the way to it and he knows its place” (Job 28:23).

        We cannot always get in touch with God’s wisdom. “It is hidden from the eyes of all living, and concealed from the birds of the air” (Job 28:21).

        Job’s ordeal has given him an even greater appreciation for God’s goodness. “I know that you can do all things, and that no purpose of yours can be thwarted” (Job 42:2).

        Job’s relationship with God seems to have deepened, and he has become wiser as a result.

        He appreciates more than ever that his former prosperity was not due to his own strength and power.

        WHAT THE FUCK IS ALL THIS BULLSHIT ?

        capt ajit vadakayil
        ..


    THE SHALLOW WESTERN MIND CAN NEVER UNDERSTAND WHAT I WROTE ABOVE ..


    In the Koranic retelling of the story of Job, Job knows that Satan is the one tormenting him..

    Iblīs, in Islam, the personal name of the devil, Shaytan and Satan are the same word.  Iblis might mean “Lucifer”, as that is a “personal name” .

    “Satan” means “banished” or “mischievous”.  In its singular form, “satan” has been used 71 times in the Qur`an and in its plural form, 18 times. The word “jinn” has been used 22 times in the Qur`an. Iblis is mentioned 11 times in the Qu'ran by name  

    Malevolent jinn are called shaytan.

    Iblis is often identified with Al-Shaitan ("the Devil").    In the Quran, Satan's name is Iblis  .  God expelled him from Paradise  and condemned him to Jahannam.   

    Those who obey God's laws are immune to the temptations of Satan 56:79 warns that Satan tries to keep Muslims from reading the Koran and 16:98-100 recommends reciting the Quran as an antidote against Satan

    On the third day of the Hajj, Muslim pilgrims to Mecca throw seven stones at a pillar known as the Jamrah al-’Aqabah, symbolizing the stoning of the Devil.

    This ritual is based on the Islamic tradition that, when God ordered Abraham to sacrifice his son Ishmael, Satan tempted him three times not to do it, and, each time, Abraham responded by throwing seven stones at him

     “Satan” is a common noun that denotes any creature that is mischievous, misleading, and delinquent, whether it be human or not. “Iblis” is a proper noun

    Saudi Arabia, following the Wahhabism strant of Salafism, impose death penalty for dealing with jinn to prevent sorcery and witchcraft.. Sleep paralysis is conceptualized as a "Jinn attack".




    What Do We Know about the Book of Job?

    .

    Mother Teresa

    “Pain and suffering have come into your life, but remember pain, sorrow, suffering are but the kiss of Jesus - a sign that you have come so close to Him that He can kiss you.”


    ― Mother Teresa
    Read more quotes from Mother Teresa













    Job in the throes of pain and suffering asks his wife  “Shall we receive good from God, and shall we not receive evil?” (Job 2:9-10).

    Mother Teresa would whisper in the ear of an Indian Hindu destitute wracked in pain   “ Pain is an avenue through which Jesus reveals himself to us more profoundly than he ever could have in our safety and comfort..   Be satisfied with the holy will of God .. Enjoy the pain “

    Evil woman Teresa had billions in her bank—yet she would not administer a painkiller pill worth a few cents

    I despise myself, and repent in the dust of ashes. -- Job 42:6


    “Anyone who loves their father or mother more than me is not worthy of me; anyone who loves their son or daughter more than me is not worthy of me.” -- Jesus in Matthew 10:37:

    1. HEY RANA AYYUB—

      DO YOU KNOW THAT THE SECOND PRESIDENT OF PAKISTAN GEN AYUB KHAN WAS A PASHTUN JEW, JUST LIKE THE CURRENT PM IMRAN KHAN ?

      DO YOU KNOW THAT “AYYUB” OF KORAN AND “JOB” OF HEBREW BIBLE IS THE SAME NAME MAN ?..

      DO YOU KNOW THAT THE LAST WORDS FEMALE PROFESSOR OF ALEXANDRIA UNIVERSITY KERALA HINDU HYPATIA HEARD WAS VERSES FROM THE “BOOK OF JOB” WHICH CRYIL THE ARCHBISHOP OF ALEXANDRIA RECITED TO HER, TELLING HER TO ENJOY THE PAIN?

      https://ajitvadakayil.blogspot.com/2020/04/the-dirty-secrets-of-easter-holiday.html

      DO YOU KNOW THAT MOTHER TERESA RECITED THE SAME VERSES FROM BOOK OF BOB, TO POOR DESTITUTE HINDUS WHOM SHE CONVERTED TO CHRISTIANITY MINUTES BEFORE THEIR DEATH IN HER CALCUTTA DESTITUTE HOME ? THIS EVIL WOMAN TERESA WOULD NOT GIVE THEM CHEAP PAIN KILLERS ..

      http://ajitvadakayil.blogspot.com/2011/02/diabolical-ministering-angel-mother.html

      RANA AYYUB, DO YOU KNOW THAT YOUR FATHER WORKED FOR RK KARANJA IN HIS YELLOW NEWSPAPER BLITZ ?   RK LAXMAN HAD DESCRIBED YOUR FATHER TO ONE MY OF TAMIL FRIENDs FATHER..

      DO YOU KNOW THAT YOUR FATHER WAQUIF KHAN WAS PART OF JEW ROTHSCHILDs PROGRESSIVE WRITERS MOVEMENT FULL OF COMMIE JEWS WITH MUSLIM NAMES ?

      NONE OF THE CRYPTO JEWS WHO PRETENDED TOO BE DEVOUT MUSLIMS HAD ZEBIBA MARKS.

      http://ajitvadakayil.blogspot.com/2011/07/cracked-heels-and-prayer-marks-capt.html

      ISLAM AND COMMUNISM ARE LIKE OIL AND WATER, THEY CAN NEVER MIX.

      CAPT AJIT VADAKAYIL HAS DUG UP YOUR KHAN ANCESTRY FOR THE PAST 250 YEARS ..

      DOES NCW KNOW WHY SMALL GIRLS RUN AWAY FROM YOU RANA BABY ? ..

      ALL IN GOOD TIME..

      Capt ajit vadakayil
      ..
      .
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    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY LIAR ASHOK SWAIN ..WHY IS HE RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES .. ALONG WITH SOME INDIAN COMMIES/ NAXALITES..
    https://twitter.com/ashoswai/status/1250078811418439681

    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE NATIONS..

    https://www.worldometers.info/coronavirus/

    IN COMPARISON TO INDIAs 0.3 ( WE HAVE 1350 MILLION PEOPLE ) , SWEDEN IS 102..

    SPAIN/ 390
    BELGIUM/ 359
    ITALY / 348
    FRANCE / 241
    UK/ 178
    USA/ 79

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION..BY TRAITORS LIKE ASHOK SWAIN..
    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES ETC ETC..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..

    https://twitter.com/Kalki783/status/1250094779251281921/photo/1

    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil
    ..

    1. PUT ABOVE COMMENT IN WEBSITES OF--
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      DONALD TRUMP
      PUTIN
      BORIS JOHNSON
      MACRON
      ANGELA MERKEL
      AMBASSADOR TO FROM USA / RUSSIA UK/ FRANCE / GERMANY
      PMO
      PM MODI
      MINISTER/ MINISTRY EXTERNAL AFFAIRS.
      AJIT DOVAL
      RAW
      NIA
      IB
      ED
      CBI
      AMIT SHAH
      HOME MINISTER / MINISTRY
      DEFENCE MINISTER/ MINISTRY
      ALL 3 ARMED FORCE CHIEFS -- PLUS TOP CDS CHIEF
      ALL DGPs OF INDIA
      ALL IGs OF INDIA
      COLLECTORS OF MAJOR CITIES OF INDIA
      ALL CMs OF INDIA
      ALL STATE GOVERNORS
      EVERY MP OF INDIA
      EVERY MLA OF INDIA
      NCERT
      EDUCATION MINISTRY/ MINISTER- CENTRE AND STATES
      NITI AYOG
      AMITABH KANT
      PRESIDENT OF INDIA
      VP OF INDIA
      SPEAKER LOK SABHA
      SPEAKER RAJYA SABHA
      PINARAYI VIJAYAN
      ALL MLAs / MPs OF KERALA
      ALL MEDIA OF KERALA
      ALL COLLECTORS OF KERALA
      RSS
      AVBP
      VHP
      MOHAN BHAGWAT
      RAM MADHAV
      MOHANDAS PAI
      RAJEEV CHANDRASHEKHAR
      DAVID FRAWLEY
      STEPHEN KNAPP
      WILLIAM DALRYMPLE
      KONRAED ELST
      FRANCOIS GAUTIER
      NALIN KOHLI
      GVL NARASIMHA RAO
      SAMBIT PATRA
      ASHOK PANDIT
      ANUPAM KHER
      KANGANA RANAUT
      VIVEK AGNIHOTRI
      MEENAKSHI LEKHI
      SMRITI IRANI
      PRASOON JOSHI
      SWAPAN DASGUPTA
      MADHU KISHWAR
      SUDHIR CHAUDHARY
      GEN GD BAKSHI
      RSN SINGH
      ARNAB GOSWAMI
      NAVIKA KUMAR
      ANAND NARASIMHAN
      UDDHAV THACKREY
      RAJ THACKREY
      SHAZIA ILMI
      CHANDA MITRA
      SRI SRI RAVISHANKAR
      SADGURU JAGGI VASUDEV
      BABA RAMDEV
      THAMBI SUNDAR PICHAI
      SATYA NADELLA
      CEO OF WIKIPEDIA
      QUORA CEO ANGELO D ADAMS
      QUORA MODERATION TEAM
      KURT OF QUORA
      GAUTAM SHEWAKRAMANI
      ALSO SEND TO THE DEANS OF THE FOLLOWING UNIVERSITIES..

      UNESCO Chair of International Water Cooperation, and the Director of Research School of International Water Cooperation at Uppsala University. He has been a Mac Arthur Fellow at the University of Chicago, Fellow at UNRISD, Geneva; and visiting professor at University of British Columbia, University of Maryland, Stanford University, McGill University, Tufts University and University of Natural Sciences and Life Sciences, Vienna.

      ENTIRE BBC GANG
      ROMILA THAPAR
      IRFAN HABIB
      VC OF TISS/ DU/ JU/ JNU
      SOCIAL SCIENCES PROFESSORS OF TISS/ DU/ JU/ JNU

      SPREAD ON SOCIAL MEDIA


    https://twitter.com/_sabanaqvi/status/1249240485794742272

    SABA NAQVI BABY

    CAPT AJIT VADAKAYIL HAS DUG UP YOUR ANCESTRY FOR MORE THAN TWO CENTURIES.. LIKE WHAT HE DID FOR RANA AYYUB..

    ALL IN GOOD TIME..

    https://ajitvadakayil.blogspot.com/2020/04/the-dirty-secrets-of-easter-holiday.html

    capt ajit vadakayil
    ..

    BELOW: THE WHITE MAN HAD ENOUGH OF DECADENCE..  

    HE YEARNS FOR SOUL BLISS








    CAPT AJIT VADAKAYIL
    ..

    WHO IS CAPTAIN AJIT VADAKAYIL? Part 4

    $
    0
    0


    THIS POST IS CONTINUED FROM PART 3, BELOW--

    https://ajitvadakayil.blogspot.com/2020/04/who-is-captain-ajit-vadakayil-part-3.html



    SOMEBODY CALLED ME UP AND CRIED..

    CAPTAIN..

    FOR THE PAST TWO MONTHS I HAVE BEEN TRYING TO FIGURE OUT WHY YOU ARE SO UPSET WITH PM MODI AND NSA CHIEF AJIT DOVAL…

    YOU HAVE WRITTEN THAT BOTH OF THEM ARE UNFIT TO SIT ON THEIR CHAIRS…

    AND ONLY TODAY, YOU GAVE A WEE HINT…

    YOU WROTE THAT AFTER SIX YEARS OF MODIs RULE, IN JNU THE NAXAL STUDENTS UNION WING -- STILL WINS THE STUDENTS ELECTIONS..

    HOW DEEP IS THIS ROT?..

    LISTEN..

    AFTER THE NEPAL ROYAL FAMILY MASSACRE JNU STUDENT BABURAM BHATTARAI BECAME PM OF NEPAL.. HE WAS A HARDCORE COMMIE AND FOUND IN THE RED CORRIDOR REGULARLY , HE PASSED WITHOUT MUCH CLASS ATTENDANCE..

    AFTER GADDAFI WAS KILLED ON THE STREETS OF LIBYA JNU STUDENT ALI ZEIDAN BECAME PM OF LIBYA.. HE WAS A COMMIE ISLAMIST .. AS YOU KNOW ISLAM AND COMMUNISM DONT MIX.. HE WAS FOUND IN KASHMIR REGULARLY , AND HE PASSED WITHOUT MUCH ATTENDANCE..

    INDIA IS STILL CONTROLLED BY THE JEWISH DEEP STATE..

    IN SIX YEARS OF MODI/ AJIT DOVAL RULE, THE CONTROL OF THE DEEP STATE OVER INDIA HAS ONLY INCREASED..

    I WROTE A 11 PART POST ON JNU..

    http://ajitvadakayil.blogspot.com/2016/02/jnu-den-of-anti-nationals-and-communist.html

    THE SOCIAL SCIENCES DEPT OF JNU BREEDS TRAITOR NAXALS AND THE ARABIC/ URDU/ PERSIAN LANGUAGE SECTION OF JNU BREEDS ISLAMIC TERRORISTS.. THEY GET FOREIGN JUDAS SILVER ..

    EVERY TIME WE TRY TO IMPOSE COMPULSORY ATTENDANCE RULE IN JNU ( LIKE PRIVATE COLLEGES ), OR STOP EXTREME STUDENTS UNION ACTIVITIES IN JNU , JEW NOAM CHOMSKY COMES BOUNDING IN..

    https://economictimes.indiatimes.com/news/politics-and-nation/why-did-you-allow-police-on-campus-noam-chomsky-to-jnu-vc-jagadesh-kumar/articleshow/51078636.cms?from=mdr

    STUDENTS UNION POLITICS IN JNU IS INTENSELY MICRO MANAGED BY WHITE JEWSIH COMMIE PROFESSORS FROM ROTHSCHILDs OPIUM FOUNDED US UNIVERSITIES COLUMBIA / BERKELEY UNIVERSITIES ( SEVERAL OTHER IN EUROPE )..

    THEY NOURISH EXTREME LEFT JNU STUDENTS UNIONS.. ..

    PROFESSORS IN LANGUAGE AND SOCIAL SCIENCES DEPTS ARE CHOSEN BY A COLLEGIUM SYSTEM..

    THE THUMB RULE IS THESE PROFESSORS MUST HAVE NO LOVE FOR THE WATAN.. AND IF THEY ARE CHILDLESS HOMOSEXUALS THEY ARE BETTER QUALIFIED..

    CHECK OUT THE VEHEMENCE OF THIS CHILDLESS COMMIE FEMALE PROFESSOR IN THE YOUTUBE VIDEO BELOW..

    https://www.youtube.com/watch?v=4ZFCMTSbsRo

    STUDENTS WHO ARE HARDCORE, WHO HATE BHARATMATA, GET EXAM QUESTIONS BEFORE THE EXAMS.. THEIR PROJECTS ARE PASSED WITHOUT VERIFICATION.. PROFESSORS HELP THEM.

    THESE COMMIE / ISLAMIC STUDENTS CAN RELAX AT HOME – SAY—IN KASHMIR OR BIHAR , WITHOUT ATTENDANCE.. THESE STUDENTS GET GOOD MONEY FROM THEIR SPONSOR COMMIE PROFESSORS IN HARD CASH..

    IF YOU LOVE YOUR MOTHERLAND , AND YOU ARE SEEN AS A PATRIOT, YOU WILL BE SUPPRESSED..

    MANY STUDENTS KNOW THIS..

    AND SO THEY PLAY ALONG TILL THEY GET A GOOD JOB AND LAWYER/ JUDGE/ JOURNALIST / BABU IN SENSITIVE MINISTRIES ETC.. BUT THESE STUDENTS ARE AFRIAD TO BLOW THE WHISTLE.. THIS IS LIKE DRUG BUSINESS , YOU WILL GET KILLED..

    http://ajitvadakayil.blogspot.com/2016/11/protect-whistle-blowers-if-india-must.html

    EVEN THE IAS SELECTION BOARD IS COMPROMISED.. THIS COMMIE INTERVIEW BOARD ALREADY KNOW WHO HAS TO BE PASSED IN ORALS OR FAILED..

    I ASK-- IN WHAT WAY DOES COMMIES SAGARIKA GHOSE, AATISHA MARLENE , GIRISH KARNAD ETC DESERVE TO BE RHODES SCHOLARS ?..

    MARLENE IS MARX + LENIN..

    SAGARIKA GHOSEs FATHER WAS DOORDARSHAN TOP GUN BHASKAR GHOSE, A COMMIE .. HE DECIDED NEWS.. RAJIV GANDHI KICKED HIM OUT THE HOUR HE KNEW THAT BHASKAR IS A ROTHSCHILD AGENT..

    SOME OF THE PROFESSORS ARE HONEY TRAPPED BY STUDENTS WITH HIDDEN CAM SUPPLIED BY WHITE JEWS.. THIS INCLUDES WOMEN UGLY FEMALE PROFESSORS..

    NOW IITs WHICH WERE CONCEIVED AS PURE TECHNICAL UNIVERSITIES HAVE SOCIAL SCIENCES DEPTS.. DALITS STUDENTS ARE ENCOURAGED TO REVOLT..


    CONTINUED TO 2--
    1. CONTINUED FROM 1--

      I ASK, WHY DO WE NEED TO TEACH COMMIE PHILOSOPHY IN JNU AND BRENNAN COLLEGE KANNUR WITH A SUCH A VAST LIBRARY?

      JEW KARL MARX IS TOUTED AS THIS PLANETs GREATEST THINKER, WHEN IN REALITY HE IS THIS PLANETs GREATEST IDIOT..

      DAS KAPITAL IS TOUTED AS THE WORLDs GREATEST LITERARY WORK WHEN IT IS IN REALITY THE MOST STUPID BOOK EVER..

      DAS KAPITAL RUNS INTO 3000 PAGES.. I DISMANTLED THIS TEDIOUS / MIND BOGGLING BOOK USING MORE THAN 3000 PAGES..

      ONLY CAPT AJIT VADAKAYIL HAS THE CEREBRAL WHEREWITHAL TO DO THIS ON THIS PLANET..

      READ ALL 9 PARTS OF THE POST BELOW--

      https://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx_27.html

      I CAN PUT A 500 ITEM EXAMS FOR TOP TWENTY COMMIE INTELLECTUALS OF THIS PLANET..

      IF THEY SCORE MORE THAN 5% , SITTING IN A GROUP FOR ONE WEEK ( CONSULTING ALL LITERATURE AND GOOGLE SEARCH ) I WILL STOP BLOGGING AND EAT MY OWN HEAD.

      JNU/ DU/ JU/ TISS ARE HOT BEDS OF COMMIE ACTIVITY WERE SOCIAL SCIENCES PROFESSORS ARE IN FOREIGN PAYROLL..

      STAR KID BR AMBEDKAR WAS BRAINWASHED IN COLUMBIA UNIVERSITY BY COMMIE JEW JOHN DEWEY WHO ALSO ROTE MAOs LITTLE RED BOOK..

      http://ajitvadakayil.blogspot.com/2015/10/the-only-dalit-freemason-of-india-capt.html

      I DONT GET FAZED BY THE PLANETs GREATEST GENIUS -- TED KACZYNSKI.. SEE HOW I TORE HIS JEWISH COMMIE ASS ASUNDER..

      READ ALL 6 PARTS OF THE POST BELOW--

      https://ajitvadakayil.blogspot.com/2019/12/theodore-kaczynski-unabomber-is-also_29.html

      SOMETIMES I WONDER, ARE THERE NO INTELLIGENT MEN ON THIS PLANET.. SOMEONE WITH THE BRAINS TO HOLLER " SEE, THERE IS AN ELEPHANT IN THIS ROOM? OR " THE EMPEROR AINT WEARING CLOTHES"..

      WHY DO YOU THINK I STARTED THIS BLOGSITE

      WHY DO YOU THINK I AM THIS PLANETs NO 1 WRITER WITH A GOOGLE PROFILE VIEW OF 1023 MILLION..

      https://www.blogger.com/profile/14410812789424637654

      GREASE AND TACKLE MINDSET , 75 YEAR OLD AJIT DOVAL HAS FAILED IN HIS JOB..

      MODI IS DANCING TO THE TUNE OF HIS JEWISH MASTERS.. HE JUST WANTS NOBEL PRIZE..

      BHARATMATA BLEEDS.. HER OLD UNHEALED WOUNDS OOZE WITH PUS..

      I AM JUST TELLING 2 % ..

      I WATCH.

      I KNOW..

      capt ajit vadakayil
      ..

    2. PUT ABOVE COMMENT IN WEBSITES OF-
      DONALD TRUMP
      PUTIN
      BORIS JOHNSON
      MACRON
      ANGELA MERKEL
      XI
      AMBASSADORS TO FROM USA/ RUSSIA/ FRANCE/ GERMANY/ UK
      GLOBAL TIMES EDITOR
      ASHOK SWAIN
      PALLAVI PUNDIR
      RAZIMAN TV
      SAFOORA ZARGAR
      ARFA KHANUM SHERWANI
      MANI SHANKAR AIYAR
      DIG VIJAY SINGH
      NAVJOT SINGH SIDHU
      CAPT AMARINDER SINGH
      SONIA GANDHI'RAHUL GANDHI
      PRIYANKA VADRA
      ALL COLLECTORS OF KERALA.
      RANA AYYUB
      SABA NAQVI
      SHEHLA RASHID
      PMO
      PM MODI
      EVERY MP OF INDIA
      EVERY MLA OF INDIA
      EVERY COLLECTOR OF INDIA
      NCERT
      EDUCATION MINISTER/ MINISTRY
      NCW MAIN
      NCW STATES
      DEFENCE MINISTER/ MINISTRY
      ALL 3 ARMED FORCE CHIEF
      CDS
      AMIT SHAH
      HOME MINISTRY CENTRE/ STATES
      CJI BOBDE
      ATTORNEY GENERAL
      LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
      ALL CHIEF JUSTICES HIGH COURTS
      I&B MINISTER / MINISTRY
      NSA
      AJIT DOVAL
      RAW
      IB
      CBI
      NIA
      ED
      ALL DGPs OF INDIA
      ALL IGs OF INDIA
      ALL CMs OF INDIA
      ALL STATE GOVERNORS
      PRESIDENT OF INDIA
      VP OF INDIA
      SPEAKER LOK SABHA
      SPEAKER RAJYA SABHA
      ALL INDIAN THINK TANKS
      NITI AYOG
      AMITABH KANT
      MOHANDAS PAI
      RAJEEV CHANDRASHEKHAR
      KAVITA KRISHNAN
      TEESTA SETALVAD
      SANJAY HEGDE
      GVL NARASIMHA RAO
      SAMBIT PATRA
      ASHOK PANDIT
      ANUPAM KHER
      KANGANA RANAUT
      VIVEK AGNIHOTRI
      MEENAKSHI LEKHI
      SMRITI IRANI
      PRASOON JOSHI
      SWAPAN DASGUPTA
      MADHU KISHWAR
      SUDHIR CHAUDHARY
      GEN GD BAKSHI
      RSN SINGH
      ARNAB GOSWAMI
      NAVIKA KUMAR
      ANAND NARASIMHAN
      RAJDEEP SARDESAI
      SRINIVASAN JAIN
      SONAL MEHROTRA KAPOOR
      VIKRAM CHANDRA
      NIDHI RAZDAN
      FAYE DSOUZA
      ZAKKA JACOB
      RAHUL ANWAL
      RAVISH KUMAR
      PRANNOY JAMES ROY
      AROON PURIE
      VINEET JAIN
      RAGHAV BAHL
      SEEMA CHISTI
      DILEEP PADGOANKAR
      VIR SANGHVI
      KARAN THAPAR
      PRITISH NANDI
      SHEKHAR GUPTA
      SIDHARTH VARADARAJAN
      PAVAN VARMA
      RAMACHANDRA GUHA
      THAMBI SUNDAR PICHAI
      SATYA NADELLA
      CEO OF WIKIPEDIA
      QUORA CEO ANGELO D ADAMS
      QUORA MODERATION TEAM
      KURT OF QUORA
      GAUTAM SHEWAKRAMANI
      SWAMY
      RAJIV MALHOTRA
      P GURUS
      RSS
      AVBP
      VHP
      MOHAN BHAGWAT
      RAM MADHAV
      MOHANLAL
      SURESH GOPI
      NALIN KOHLI.
      UDDHAV THACKREY
      RAJ THACKREY
      CHANDAN MITRA
      SADGURU JAGGI VASUDEV
      BABA RAMDEV
      SRI SRI RAVISHANKAR
      ADMIRAL RAMDAS , HIS WIFE AND HIS DAUGHTER
      ADMIRAL VISHNU BHAGAT
      CHETAN BHAGAT
      ZOYA HASAN
      THE QUINT
      THE SCROLL
      THE WIRE
      THE PRINT
      MK VENU
      VINOD DUA
      MADHU TREHAN
      SANJAY HEDGE
      SHOBHAA DE
      ARUNDHATI ROY
      MADHU TREHAN
      JAIRAM RAMESH
      SHASHI THAROOR
      KAPIL SIBAL
      ABHI SEX MAANGTHA SINGVI
      TEHSEEN POONAWAALA
      SHEHZAD POONAWALA
      SANJAY JHA
      RANDIP SURJEWALA
      JEAN DREZE
      JEAN DREZE
      HARSH MANDER
      DIG VIJAY SINGH
      JULIO RIBEIRO
      SUHEL SETH
      KAMALAHASSAN
      SALMAN KHURSHEED
      GHULAM NABI AZAD
      SWARA BHASKAR
      ALL HINDU STALWARTS AND ORGS
      MAMMOTTY
      DULQER SALMAN
      SWAMYs BULLSHIT VIRAATS SENA
      JOHN BRITTAS
      THOMAS ISAAC
      ASADUDDIN OWAISI
      FAZAL GHAFOOR
      ROMILA THAPAR
      IRFAN HABIB
      NIVEDITA MENON
      AYESHA KIDWAI
      KUNHALIKUTTY
      ABHIJIT BANNERJEE
      RAGHURAM RAJAN
      JAYATI GHOSH
      ALEX JONES
      RENSE
      HISTORY CHANNEL
      DAVID HATCHER CHILDRESS
      PINARAYI VIJAYAN
      AN SHAMSHEER
      KM SHAJI
      AHMED PATEL
      AZAM KHAN
      SOLI BABY
      FALI BABY
      KATJU BABY
      SALVE BABY
      PRAKASH KARAT
      SITARAM YECHURY
      BRINDA KARAT
      KODEIYERI BALAKRISHNAN
      D RAJA
      ANNIE RAJA
      SUMEET CHOPRA
      DINESH VARSHNEY
      JEAN DREZE
      BELA BHATIA
      ALL PROFESSORS OF SOCIAL SCIENCES TISS/ IIT/ JNU/ DU/ JU/ FTII
      VERNON GONSALVES
      VARAVARA RAO
      ARUN FERREIRA
      GAUTAM NAVLAKHA
      SUDHA BHARADWAJ
      ARUNA ROY
      GN SAIBABA
      NANDINI SUNDAR
      GITA GOPINATH
      AMARTYA SEN
      SURENDRA GADLING
      MAHESH RAUT
      SHOMA SEN
      RONA WILSON
      SIDHIR DHAWALE
      S RAMACHANDRAN PILLAI
      BIMAN BOSE
      MANIK SARKAR
      HANNAN MOLLAH
      MA BABY
      SURJYA KANTA MISHRA
      MOHAMMAD SALIM
      SUBHASHINI ALI
      BV RAGHAVULU
      G RAMAKRISHNAN
      TAPAN KUMAR SEN
      NILOTPAL BASU
      AK PADMANABHAN
      S RAMACHANDRAN PILLAI
      BUDDHADEB BHATTACHARYA
      NIRUPAM SEN
      K VARADARAJAN
      MOHAMMAD AMIN
      MK PANDHE
      DEAN BERKELEY UC
      DEAN COLUMBIA UNIVERSITY
      K SUBBHARAYAN
      BINOY VISWAM
      TK RANGARAJAN
      SPREAD ON SOCIAL MEDIA

      PUT SCREEN SHOTS


    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY JEWSH DEEP STATE PAYROLL LIAR ASHOK SWAIN ( PROFESSOR IN SWEDEN ) .. 

    ASHOK SWAIN  RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN?--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES ..   ALONG WITH SOME INDIAN COMMIES/ NAXALITES..


    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE UNDERDEVELOPED NATIONS..


    IN COMPARISON TO INDIAs 0.3  ( WE HAVE 1350 MILLION PEOPLE ) ,  SWEDEN IS 132..

    SPAIN/ 409
    BELGIUM/ 419
    ITALY / 358
    FRANCE / 263
    UK/ 202
    USA/ 87

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION.. BY TRAITORS LIKE ASHOK SWAIN..

    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES/ DISFUNCTIONAL FAMILY/ PARENTS DISCARDED IN OLD AGE HOMES  / MENTAL PROBEMS/  CRIPPLES/  SERIOUS DISEASES /  INFERTILITY / LACK OF RESPECT FOR WOMEN – PARENTS / HUNGER /  DEBT PER CAPITA ETC ETC..

    I HAVE SEEN THIS PLANET FOR 40 YEARS..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..


    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil

    ..






    I BROKE MY PERSONAL POLICY OF NOT COMMENTING ON MEDICAL MATTERS TO SAVE THIS PLANET..ON REUEST FROM MY READERS

    I DONT HAVE TO BE A HEN TO GRADE AN OMELETTE..

    I HAVE A 100% TRACK RECORD..

    LOOKS LIKE I HAVE TO GO BACK AND RESUME MY POLICY OF " NO MEDICAL COMMENTS "

    OR I HAVE TO CHANGE MY NAME TO ANUSHKA SHARMA-- SO THAT MODI WILL JUMP UP AND DOWN IN BHRAMMMM .. VOTE MAANGTH HAI NAAH ?

    ARRRGGHH PPTTHHEEOOYYYYYYYYY

    capt ajit vadaayil
    ..



    SOME OF MY JEALOUS DETRACTORS WENT OFF THE AIR AND MAINTAINED RADIO SILENCE HOPING THEIR READERS WILL GIVE A FEVERISH PLEA--

    SAAAAR GET BACK AND RESUME SAVING THIS PLANET AND ITS DENIZENS. WE MISS YOU

    MOST OF THEIR READERS ARE CUNTS WHOM I TOLD-- FUCK OFF FROM MY BLOGSITE..HEY JOINED THERE TO SPITE ME..

    ALL THEY GOT IS SHIT LADEN THENGA !

    TEE HEEEEE

    PROOF OF THE PUDDING LIES IN THE EATING..

    capt ajit vadakayil
    ..




    1. AT SEA, WHEN I PENNED MESSAGES FROM MY COMPUTER FOR MY SHORE BOSSES, EVER MESSAGE HAD A FOOTER .. THIS IS NOT ALLOWED, WENT AGAINST COMPANY PROTOCOL FOR COMMS,--I DID NOT CARE..

      EVRY MONTH HAS A DIFFERENT THEME..

      TEAM WORK IS BELOW--

      http://ajitvadakayil.blogspot.com/2010/12/team-work-team-dynamics-capt-ajit.html

      MY FANS MOSTLY WHITE MEN/ WOMEN TOLD ME THAT IN THEIR COMPANY, THE FIRST THING EVERYBODY 100% DID AS SOON AS THEY ARRIVED AT THE DESK WAS TO OPEN CAPT AJIT VADAKAYILs LATEST MESSAGES --EVEN IF 90% OF THEM HAD NOTHING TO DO WITH MY SHIP OR ME..

      I COULD WRITE A BOOK FOR EACH FOOTER ..

      ON NIKOLA TESLAs BIRTHDAY MY FOOTER WAS " HAPPY BIRTHDAY TO THIS PLANETs GREATEST MARTYR TESLA "

      http://ajitvadakayil.blogspot.com/2010/05/super-genius-with-occult-status-true.html

      MY TECH MANAGER FROM HONGKONG CALLED ME UP AND SAID "CAPTAIN, THE WHITE MEN WONT LIKE THIS "..

      AS IF ON CUE MY WHITE BOSS SEND ME A MESSAGE " TODAY IS MY BIRTHDAY TOO" ( PULLING MY LEG )

      I REPLIED -- I DONT CARE..THEY CAN LUMP IT , IF THEY DONT LIKE IT..

      I ASK MY READERS-- INDIVIDUALS WORKING FOR TWITTER/ FACEBOOK/ QUORA/ WIKIPEDIA / GOOGLE , KNOW THAT VADAKAYIL IS COMMITTED TO THE WELL BEING OF THIS PLANET AND ITS DENIZENS..

      IF SO -- WHY DO THEY BAN THE WORD VADAKAYIL..


      WHAT IS THE EVIL HUMAN QUALITY -- IS IT LACK OF CHARACTER / INTEGRITY OR JUST PLAIN JEALOUSY? ROOTED IN SKIN COLOUR..

      MY READERS MUST RESPOND.. THINK OVER OT AND REPLY.. NO KNEE JERK ANSWERS ..

      http://ajitvadakayil.blogspot.com/2010/11/old-sea-dog-capt-ajit-vadakayil.html

      capt ajit vadakayil
      ..

    1. CAN A BLOGGER SAVE THE PLANET?

      I ASK-- WHEN US PRESIDENT/ WHO CHIEF/ US CDC/ INDIAN HEALTH MINISTER/ WORLD MEDIA SAID WEARING MASK IS NOT NECESSARY FOR HEALTHY PEOPLE WHO WAS THE FIRST TO OBJECT?
      AFTER A SEND A STINKER TO ALL ABOVE PARTIES ( TELLING THEM ABOUT TYPHOID MARY/ VIETNAM ROSE ASYMPTOMATIC CARRIERS ) FOUR DAYS LATER WHO/ CDC DID A DISGRACEFUL U TURN..

      ########################

      Capt. Ajit Vadakayil March 31, 2020 at 6:47 PM

      JUST NOW I HEARD BENAMI NEWS CHANNELS DOING CONSTANT DECLARATIONS " HEALTH MINISTER OF INDIA HAS ANNOUNCED THAT ONLY PEOPLE INFECTED WITH CORONAVIRUS ( 1195 PEOPLE ) IN INDIA MUST WEAR MASKS, REST ( 134O MILLION ) NEED NOT , IN PUBLIC "

      IF I WERE NSA AJIT DOVAL, I WILL IMMEDIATELY ARREST HARSHVARDHAN AND JAIL HIM..

      INDIA IS THIS PLANETs OLDEST CIVILIZATION.. CANT WE THINK FOR OURSELVES..

      WHY ARE WE REPEATING WHAT WHITE JEWS ( WHO HAVE VESTED INTERESTS ) TELL US ?..

      WHO IS TELLING THIRD WORLD NATIONS WITH LARGE POPULATIONS NOT TO WEAR MASKS.. BUT IN WHITE NATIONS EVERYBODY ON THE STREETS IS WEARING MASKS.. WE KNOW FROM OUR SOURCES..

      HEY HARDHVARDHAN, HAVE YOU EVERY HEARD OF "TYPHOID MARY?"


      HEY MODI, HAVE YOU EVER HEARD OF "VIETNAM ROSE"..
      LET ME SPELL OUT HISTORY..

      IN VIETNAM THE AMERICAN SOLDIER DID NOT WANT TO WEAR CONDOMS WHEN HAVING SEX IN US MILITARY APPROVED "COMFORT STATIONS" ..

      THE RULE BECAME " ONLY IF YOU HAVE SYPHILIS YOU NEED TO DON CONDOMS "

      WHEN VIETCONG HEARD ABOUT THIS, THEY COLLECTED ATTRACTIVE ASYMPTOMATIC FEMALES , WHO WERE NOT WHORES.. THEY WERE INDUCTED IN US MILITARY APPROVED WHOREHOUSES OF SAIGON.. THESE WOMEN WERE TRUE MARTYRS...

      AS SOON AS THE AMERICAN SOLDIER HAD SEX, WITHIN THREE DAYS HE COULD NOT PEE.. HE HAS TO BE FLOWN BACK TO USA.. A FEW DAYS LATER THE TIP OF THEIR PRICKS LOOKED LIKE RED ROSES..THEY ALL WERE U=OUT OF ACTION FOR THE REST OF THE WAR.. SEE THERE IS NO NEED TO KILL.

      IN WUHAN THERE ARE MANY CHINESE DOCTORS WHO HAVE BEEN INFECTED BY AN ASYMPTOMATIC PATIENTS.

      ASYMPTOMATIC CASES REMAIN UNDIAGNOSED AND THEREFORE UNQUARANTINED.

      WE STILL DONT HAVE SERUM TESTS TO TEST SUCH SLEEPER PASSIVE CARRIERS..

      UNDETECTED, ASYMPTOMATIC PATIENTS COULD CREATE FRESH TRANSMISSION ROUTES ONCE LOCKDOWNS ARE EASED.. WE ARE IN FOR A LONG HAUL..

      DIAMOND PRINCESS CRUISE SHIP OUTBREAK SHOWED THAT 35 OF THE 104 INFECTED PASSENGERS REMAINED ASYMPTOMATIC EVEN AFTER AN AVERAGE OF 10 DAYS OF OBSERVATION AT THE SELF-DEFENSE FORCES CENTRAL HOSPITAL IN JAPAN.

      ON MARCH 23 2020 , THE HEALTH MINISTRY OF IN THE SOUTHWESTERN CHINESE CITY OF CHONGQING, SAID 18% OF PATIENTS WERE ASYMPTOMATIC.

      EXISTENCE OF PRESYMPTOMATIC (ASYMPTOMATIC) PATIENTS MEANT THAT SCREENING PROCEDURES AT AIRPORTS AND OTHER POINTS OF ENTRY WERE INSUFFICIENT TO PREVENT THE CORONAVIRUS FROM SPREADING.. THIS IS WHY THERE MUST BE ESTABLISHED QUARANTINE PROCEDURES AT INDIAN AIRPORTS FROM WHICH COVID-19 GAVE ENTRY..

      JUST ONE TWO SECOND TEMPERATURE CHECK IS NOT ENOUGH.

      CHILDREN WHO EAT GOOD ORGANIC FOOD ARE LESS SICK FROM COVID-19, BUT MAY STILL SPREAD THE CORONAVIRUS.. THIS CHILD CAN SPREAD THE DISEASE TO A MALNOURISHED FEEBLE CLASSMATE..

      CHILDREN WORLDWIDE RARELY HAVE SEVERE SYMPTOMS WHEN INFECTED BY COVID-19

      TRUE NUMBER OF INFECTIONS IN USA - MANY WITH MILD OR NO SYMPTOMS - IS FAR HIGHER THAN ESTABLISHED..

      AGAIN, AN ASYMPTOMATIC CARRIER (HEALTHY CARRIER OR JUST CARRIER) IS A PERSON OR OTHER ORGANISM THAT HAS BECOME INFECTED WITH A PATHOGEN, BUT THAT DISPLAYS NO SIGNS OR SYMPTOMS.

      ALTHOUGH UNAFFECTED BY THE PATHOGEN, CARRIERS CAN TRANSMIT IT TO OTHERS HOW CERTAIN PATHOGENS CAN REMAIN DORMANT IN A HUMAN FOR A PERIOD OF TIME.


      CONTINUED TO 2--
      1. CONTINUED FROM 1--

        A COMMON PRINCIPLE IN EPIDEMIOLOGY, THE 80–20 RULE, SPECULATES THAT 80% OF THE DISEASE TRANSMISSION IS CONDUCTED BY ONLY 20% OF PEOPLE IN A POPULATION

        WE WATCH.. HARSHVARDHAN BE YOUR OWN MAN.. DONT BE A SLAVE OF MODI WHO IS NOW IN FROZEN BRAIN MODE..

        https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

        EVER HEARD OF COMFORT STATIONS MANNED BY PRE-TEEN DEVADASIS ?

        http://ajitvadakayil.blogspot.com/2014/02/devadasi-system-immoral-lie-of-temple.html

        capt ajit vadakayil
        ..
        ####################################

        Capt. Ajit Vadakayil April 1, 2020 at 7:32 PM

        https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

        ICELAND HAS MADE THE MISTAKE OF NOT ENFORCING A CORONAVIRUS LOCKDOWN.. PEOPLE HAVE NOT BEEN WEARING MASKS..

        I PREDICT 95% OF ICELAND POPULATION WILL GET INFECTED .. ALMOST ALL WILL BE ASYMPTOMATIC CARRIERS .. AND NO NATION WILL ALLOW THEM ENTRY..

        REASON: THEIR DIET IS RICH IN COLD WATER FISH WITH HIGH QUALITY OMEGA 3 POLYUNSATURATED FATTY ACIDS..

        TAKING OMEGA 3 FISH OIL CAPSULES IS NO USE.. MY SHIP HAD TAKEN A SHIP LOAD OF PERUVIAN TROPICAL FISH OIL TO DENMARK, WHERE THEY CRIMINALLY PACKAGE IT AS COLD WATER FISH OMEGA 3 OILS..

        THERE ARE ONLY TWO HEALTHY FATS .. HUMPED COW GHEE AND VIRGIN COCONUT OIL.

        http://ajitvadakayil.blogspot.com/2012/08/coconut-oil-is-good-for-cooking-ignore.html

        CORRUPT MINISTERS OF KERALA HAVE ENSURED NOBODY CONSUME VIRGIN COCONUT OIL, IN A LAND OF COCONUTS. SO THAT THEY CAN GET KICKBACKS FROM MALAYSIA PALM OIL EXPORTERS..

        capt ajit vadakayil
        ..

        #################################

        ARE THERE NO INTELLIGENT PEOPLE ON THIS PLANET?

        capt ajit vadakayil
        ..



    I WISH ALL MY READERS A HAPPY VISHU.. ONE OF THE OLDEST FESTIVALS OF THIS PLANET

    IT IS ON 14TH APRIL 2020..

    OUR FESTIVALS HAVE MEANING.. STEEPED IN ASTRONOMY, WE KNOW HOW THE WHITE MAN STOLE OUR ASTRONOMY AND PATENTED IT IN THEIR NAMES..

    KING MAHABALI LEFT HIS MARK FOR TWO KERALA FESTIVALS ONAM AND VISHU 12,000 YEARS AGO..

    KERALA KINGS OF THE DANAVA CIVILIZATION ( FROM WHERE SANATANA DHARMA SPROUTED 400 CENTURIES AGO ) RULED THIS PLANET..

    NOBODY KNEW WHY THE INTIGUATANA STONE ON THE HIGHEST POINT OF MACHU PICCHU IS ANGLED TO 13.1 DEGREES , TILL I REVEALED IT.. IT HAS THE SAME PRINCIPLE OF LATITUDE AND DECLINATION BEING SAME LIKE FOR VISHU..

    I DONT GIVE PROOFS, USUALLY .. DONT EVER THINK I AM FEEDING YOU WITH BULL.. I DONT WANT TO BREAK MY HEAD OVER LCD QUERIES..

    http://ajitvadakayil.blogspot.com/2019/07/secrets-of-12000-year-old-machu-picchu_30.html

    WE HAVE A PRICELESS CULTURE, BE PROUD OF IT...

    DONT GET IMPRESSED BY THE WESTERN FESTIVALS WHERE DRUNKEN/ DRUGGED PEOPLE SHOW ROTTEN TWATS AND PRICKS AND FORNICATE ON THE STREETS, WITH PEOPLE THROWING BEADS AT THEM FOR GOOD PERFORMAMCE

    http://ajitvadakayil.blogspot.com/2014/04/vishu-new-year-festival-of-kerala-capt.html

    capt ajit vadakayil
    ..




    Shankar  April 13, 2020 at 7:27 AM
    It has been around 8 year's since I stumbled on to your blog site. I forgot how. Only thing I know is that ever since you have been part of my family and not a day passes when your blog contents are not discussed.
    Happy Vishu to you and family.



    charishma   April 13, 2020 at 8:21 AM
    I stumbled upon your blogsite in 2018.I saw a program on tv on vishnus 26000 year old kalpa vigraha idol.I was amazed because what ever we have learnt in our schools or so is that non sense stone age,copper age,aryan invasion blah blah...Then I searched for more information on that idol.In this search I stumbled upon your blog .This blog post kalpavigraha of yours comes on first page of every search engine including google.That day which I came across your blog is the unforgettable and life changing day in my life.I found a priceless gift from god,that is your blog which is the only place on this planet where truth and dharma prevails.
    Muthu SwamynathanApril 14, 2019 at 6:51 PM
    Captain, I read from your sanathana dharma series that Chanakya took 24 years to build an empire, compiling mind boggling sashtras in different fields. Had Chanakya quit in 10 years, what would be the condition of Bharat today? Captain, it was those shastras and 24 years of mentoring to maurya empire and people which protected Bharat from the initial 1200 years of kaliyug.

    Chanakya period was different because Indians were never slaves before that time period. Yours is completely different.

    Captain, all i am saying is "HAVE PATIENCE AND MENTOR US TILL INDIA BECOME SUPERPOWER IN 2033".




    Ravi  April 14, 2019 at 7:02 PM
    Sir, This blog gives me hope and solace. I am one of those selfish readers who don't do anything even after reading your blogs. I tried doing but not able to start off correctly as I am establishing my life. My home is not as peaceful as yours and I am trying to first win in my home and then start winning outside.
    You have written what no one have written in this world. Please give me time to read and understand your posts and react. Please don't write anymore new since I have so much to read what you wrote and to understand.
    The day will come when all your posts are understood by many Indians and will fight back and have strength and honor.
    PLEASE DO NOT DELETE THE BLOG. This blog is really like a light in my life which is guiding me. Let it be so that I can rise, have strength and honor and will try to make you proud sir. A humble request, PLEASE DO NOT DELETE THE BLOG. Let it be. Please




    Muthu Swamynathan  April 14, 2019 at 7:32 PM
    Captain, Like Happiness Success is not constant. Also, I learnt the inclusive mindset from you. You can't leave us just like that. Please dont stop blogging. Please continue to write about the first rome inquisition, soil management, revamp police, judiciary, education system etc. Please dont stop writing.

    I am crying and asking you.





    Gol D VRM-A  April 14, 2019 at 9:17 PM
    O captain my captain
    our fearful trip is done,
    The ship has weather’d every rack, the prize we sought is won,
    O Captain! my Captain! rise up and hear the bells;
    Rise up—for you the flag is flung—for you the bugle trills,
    For you bouquets and ribbon’d wreaths—for you the shores a-crowding,
    For you they call, the swaying mass, their eager faces turning;
    my captain, dear father,

    stands tall and time stands still,
    my people and the nation on the deck with humility stand for you, still
    the man , the teaching, the power of the strength and honour
    the mentor to make boys into men and men into ideal men,
    the benchmarks as the standards of men under your command,
    your voice as the person , the lion among the cacaphony of hens,

    the one who plays to the hostile crowd better and gets stronger at such playgrounds every hour,
    where did that man gone,who had the courage to go on
    now the withdrawl at this 11th hour?

    strength within and strength personified is the armour that God provide, for the one who fears no evil, has God by his side

    my captain, o father your people are calling on you, homies and followers alike
    they are the crew and you the captain, but still the word is sonorous, that is ENJICREW

    a hard laugh and the last laugh of sanatan dharm still awaits, the Kalki and his mentor awaits
    Like ManU and like his country, star Tevez and Pele
    respectively to above my nation also awaits
    death comes once but legacy to reminisce till supernova
    Krishna, like the scourge of GOD himself, you like the GOD's devil's advocate

    the people are the sheep and the lord is my shepherd,
    but
    OCaptian, My Capatain,
    be the Lion leader and the Bull shepherd

    Interesting Life and exciting times you saw,
    you challenged God,
    were humbled by God,
    then you achieved union with God

    help us and let us transcend , to harm your enemies and to heal you
    and the real well -wishers be the recipients for honour from you
    __________________________________________________________________________________

    respected captain,
    i hopei can get to the level




    Muthu Swamynathan  April 14, 2019 at 9:18 PM
    Captain, put yourself in my shoes.

    During you career days, did any engineer dedicate his time to both his profession and nation? Even if an engineer did, can he perform with full speed and dedication in both the areas? I have postponed thinking about my marriage in the last year and this year. I did all the above only to spend reading your blogs and to know my worth and to send your messages. I understand your brain draining creative messages effort but converting those messages to positive messages(inorder to avoid rubbing the ego of authorities) was pain taking work for me too.



    Arrow  April 14, 2019 at 10:43 PM
    Sir

    5 lions are better than 500 sheeps,so if you have 500 selfish readers who are sheeps,why are you worrying about them??!!
    There are 5 lions who are better than these 500 sheeps.We will support you and we are with you.
    Don't delete all the blog posts




    bacon27kitsu  April 14, 2019 at 11:45 PM
    Sir,
    I have found both freedom and safety in my madness; the freedom of loneliness and the safety from being understood, for those who understand us enslave something in us.
    To understand the heart and mind of a person, look not at what he has already achieved, but at what he aspires to.

    This might be the moment in history which you are making sir I learnt so much from you.Your guidance at every level came to be the most wonderful insights and revelations which no one could make in such a time of chaos and where everybody are getting more and and more entangled into the false drama of such false and misleading people you shown us the light which no one ever could.
    As the wind change the direction of the flag waving and so will be the power which will keep changing its direction and will soon fall into the right hands
    Until then I believe change is the only constant
    Sir, you have the most powerful direction
    Thank you for leading us into the right future :-)




    RN Murthy  April 15, 2019 at 9:06 AM
    Dear Capt Ajit sir,
    Happy Vishu to you and ypur family....this is on behalf of all your readers...whenever adharma has overtaken...Vishnu comes down....hope we will see u in Kalki Avatar soon...we are ready to brace the destruction...we will do personal swadhyaya to be purified in this process. INDIA will transform the world....as each one of us will take one item from your blog and implement. I have chosen to make everyone aware that you have possibility of moksha only if you die and get cremated in India as a man.Only thru burial, the solition wave will take the soul to the seventh astral layer.
    With gratefulness....




    seema  April 15, 2019 at 1:04 PM
    namaste
    indians education system (macaulay's)has set the mind set of indians so . they cant think beyond what they are taught in english schools . edu system needs to be full BHARTIYA. . otherwise indians are very much deshbhakt . . keep writing . its always good to read your posts .




    Muthu Swamynathan  April 15, 2019 at 4:04 PM
    Captain, An idea. Since you have found the root cause problem of hindus, please write a post for hindus about fixing the flaws in character and improving the character. It will be very useful for hindus to look their character and move towards "Strength and Honor".




    Prashant Nayak  April 15, 2019 at 8:43 PM
    Guruji pl.dont do it.




    Savithur  April 15, 2019 at 9:18 PM
    My Dear Captain, we require your famous..THE FAMOUS VADAKAYIL BACKSWING in immediate effect..! Sir we all supported you ..your silent revolution is bearing fruit...please dont destruct this...enemies are laughing...we shall fight ...please give us all one more chance...tears wont suffix anything captain...you are the SUPER...please my dear captain stop your carnage..I am spreading your words where ever i can..you are the present day chanakya we shall soldier under your guidence and command please sir give a chance..





    Savithur  April 15, 2019 at 9:30 PM
    Sir, my humble request dont orphan us ...even in my present condition..i never asked medical favours never asked anything but only your blessings which you showered on us...You are the becon on this great country and the planet dear captain...please dear my captain..my support for you is always there...as Sri Krishna said the result and fruit will bear and who said your silent revolution is not bearing fruit...and of course peace will be with you and you can plan the retirement...but dear captain not like this...many years i am with you spreading your profound knowledge and dharma...now cant go back dear Captain...you are father figure to many and there are cowards ..may be me also but Sir the business needs to be finished...my charan sparsh, please accept my gratitude.





    Savithur  April 15, 2019 at 9:41 PM
    Hope is the only anchor you can draw upon us ....Bharathavarsh wants a son like you...even i felt appalled so much indifference among our countrymen...still sir i seek and beg one more chance..pls stop this carnage..the black hole will be showed the Vadakayil torch..there are many people counting on you sir, never i did question you or your profoundness...you are grear sir and mark my words this blog is no Titanic that we shall let it sink...Supernova sir Supernova..please sir...we and the country needs you the most...Strength and Honor always..please accept my heartfelt Salute to aap.Good things have to come to an end ...but not like this..with tears i wash your feet...my humble graditude for what I learnt things from you.




    nknown  April 15, 2019 at 10:23 PM
    Dear AV Captain of this modern one of my guru, please dont' delete your a to z contents of this post. Let our children of next generation read and arise to save our Bharath Mata one day.

    please copy all the contents of your entire web site and create it in multiple website hosts.

    If you dont mind bring it 18 volumes of books and sell it tooo.

    Bring it in PDF format and distribute all of them.

    we hindu with faith and hopes is because Almighty and Guru like you.

    ..forget quora websites ... who they are and they are silly unholy humans on our universe.

    Fuck Quora.

    please calm and god bless you. over come on your anger.. fight fight and save our Bharath Maataa.





    PRIYADARSHAN SIRAS  April 15, 2019 at 11:30 PM
    Respected Capt sir, please do not stop writing. Sir, you have transformed millions of souls. I have no words. SALUTE TO YOU SIR





    Sagar Dev Bhardwaj  April 16, 2019 at 11:41 AM
    We love you and respect you sir. Please guide us dear Captain. Please don't leave us alone

    VaronGApril 16, 2019 at 1:25 AM
    Pranaam gurusrestha
    I am prolly one of your indifferent pupil :

    I am truly awakened by your blogs and because of this I have started to pay all my due taxes to bharatmata i am also in process of starting Sanskrit based school to resurrect our true culture moreover I am in process of training my young fellow Bharatis to secure jobs by means of true knowledge as someone has said its better to build new system rather than repairing an old one.
    I am hell bent on imparting our true Indian history to other people and started doing ORGANIC FARMING SINCE THREE YEARS. I M A CHANGED SOUL

    In the above para , please change I am / I have to VADAKAYIL HAVE / IS ; read this line gazillion times sir !!!

    only reason I hv been able to think is solely because of you and your silent revolution

    I would love to be guided by your knowledge but I won’t be adamant on it as well , as your true virtue of your knowledge teaches me to find my own path and do things that would take care of my BHARAT

    PLEASE IMPART YOUR BLESSING SO THAT I AS YOUR SILENT REVOLUTIONARY DO MY LITTLE BIT OF MY PART TOWARDS MY DHARMA

    Your utmost gratitude
    🙏🏼
    Your tuch shishya




    Arrow  April 16, 2019 at 6:54 AM
    Sir

    "Don't slip and fall in front of your laughing detractors"
    Your detractors had enough good laugh.
    Everything will become normal.
    Have hope.
    The time is not good,but it will become better afterwards.
    Sir please don't leave us.




    Shailender Parmar  April 16, 2019 at 12:05 PM
    Pranaam Guruji,

    Please come back, bharatmata needs you, we the people needs you.

    We are always working on some plan to spread your words across the world. For this we need your blessings.





    Soujanya V  April 16, 2019 at 12:19 PM
    Sir - Do not delete our blogposts which are gems and which had so much of your hardwork, I'm nobody to say but felt like saying. Quora is adamantly not deleting even reported stuff, though people have reported. Our India will be an economic power soon - We will show Quora and rest others what we Indians are. Take care sir. Appreciate everything you have done.




    ashuuu  April 17, 2019 at 11:43 AM
    captain i have downvoted comments of raziman tv in quora and many other comments against you.You have already done your part in exposing the lies in indian history i think you are no less than revolutionary bhagat singh.I have seen tremendous changes in the mindset of youth nowadays they dont like americans or west supported infatuations,they are slowly knowing indian history and our contribution in the filed of science and technology,i suppose you should keep writing your blog and in due course of time i am sure our ncert history books will not be written by any other commie historians




    src356  April 18, 2019 at 5:56 AM
    Hi Captain,
    I am grateful to you. I’m twenty five years old and always watch out for your guidance. You have set the bar very high with your elder son. I am sorry I don’t get time to even read completely what you have written. I’m going through difficult times now.





    Rajesh Rawat  April 18, 2019 at 9:08 AM
    Please come back Captain, Love you

    Kaisi hai yeh doori, kaisi majboori
    Meine nazron se tujhe choo liya
    Oh ho ho Kabhi teri khusboo
    Kabhi teri baatein
    Bin mange yeh jahan pa liya

    Tu hi dil ki hai raunak,
    Tu hi janmo ki daulat
    Aur kuch na janoo
    Bas itna hi janoo
    Tujh mein rab dikhta hai
    Yaara mein kya karu

    Tujh mein rab dikhta hai
    Yaara mein kya karu
    Sajdhe sar jukhta hai
    Yaara mein kya karuo
    Tujh mein rab dikhta hai
    Yaara mein kya karuo





    Samskarebyaha  April 18, 2019 at 10:17 PM
    Captain its unthinkable that you wont be blogging and even worse that you will be deleting some of your blogs. My 8th std son gets his history lessons from your blog. You simply should not do both Captain. The number of people who are being introduced to our actual history through your blog are just too many. If not your blog, there is no other source too. So, pl, Hinduism needs you, even if 90% of this country people wont bother.





    Unknown  April 19, 2019 at 4:47 PM
    Captain please don't stop writing.we understand the disappointment you have but at least you have this blog as a hope to re establish truth and Dharma. We too face huge disappointment from people around us who are not even willing to believe the grave situation. People are happy with the toxic modern zombie life. They have no idea of their duty towards the motherland,nature and Dharma. My request captain keep the flag of Dharma up and high. Pranam.





    Anand  April 19, 2019 at 5:07 PM
    Respected Captain Sahab,
    Namaskar.

    Your decision came as a surprise.

    No words to express my thanks for changing lives of so many people on earth.

    I have been a passive contributor towards the silent revolution that you have started.

    Never expected any acknowledgement from anyone.

    Did whatever my genome allowed.
    Never expressed my doing (though minimal) even to you.

    But just to tell, every one is contributing their bit. People's lives are changing and so is their outlook.
    People are inculcating your views in their daily routines and discussions.
    They are communicating your views to their fellow colleagues, friends and family members and sometimes facing retribution , mockery from them, but are still continuing. Because they have changed.

    You have been a source of light to people who were struggling in darkness.

    I understand that there must have been reasons for your decision, but still would wish that you reconsider your decision once.
    May be the platform could be different, more selective people may be included,
    Less contributors can be excluded (including myself), but why to stop?

    If you stop, the other side will automatically win.
    They have been facing flak from you and you only.
    May be I didn't contribute on Qura , but I am standing in support with my all my respect whenever it comes to any comments on your wife.
    And such comments donot create any disturbance in my outgoing respect towards you and your family.
    My heartfelt respect flows towards you, despite all the allegations , and so does from thousands of other readers.

    My wish - donot stop writing.
    Writing on this page is again, because I don't want to tell anybody, but to you, what I feel.Sense of deep respect.Just that.
    Rest हरीइच्छा

    Regards
    Anand




    Ramkumar Jayaraman  April 19, 2019 at 7:02 PM
    Respected Captain,

    Namaskaram, your words enlightened our subconscious mind. We will continue this fight against adharma. You showed the path and the light to cross it. Will pray God that you continue this silent revolution and continue leading us. Thank you.






    Anand  April 21, 2019 at 10:03 PM
    Capt. Ajit VadakayilApril 21, 2019 at 9:45 PM
    SOMEONE ASKED ME

    CAPTAIN CAN YOU RESUME QUORA QUESTIONS --WITH SOME POTENT BOMBS RESERVED FOR THE 98% REVELATION SEGMENT.. JUST TO ANNOUNCE YOUR ARRIVAL ..

    INDEED I SHALL

    IT WILL MAKE KOSHER / CHRISTIAN / ISLAMIC BALLS AND TWATS COLLECTIVELY GO PPR BRR TRRRR..

    capt ajit vadakayil


    Loved to see this , with tears in my heart(don't know why).
    Regards
    Anand




    Savithur  October 28, 2019 at 8:47 AM
    My Dear Captain,
    Is Everything alright, worried about your absence...please do care and all the best wishes and prayers.




    Punith - Seeker  October 19, 2019 at 5:44 PM
    Captain, I hope everything is well.. looking at on going assaults on Hindu stalwarts, I am always worried about your safety.. take care Captain..




    kumar  October 20, 2019 at 9:27 PM
    Dear Ajit sir, we have much respect for you, like our big brother or father figure. we all know the devotion and unwavering dedication you have towards the betterment of our country and sanathana dharma.it can not be matched with anything else. you are a special person for us, always in our hearts. may be we are bit slow for you or you are fast for us, may be we are busy with our own livelihood or day to day chores. please forgive us if there are any limitations from our side as we are like your children / brothers, please sir please forgive us. praying for the well being of you / your family and for Bharat.
    --- Bharat matha ki jai ----

    with gratitude,

    s kumar




    1. https://www.worldometers.info/coronavirus/

      SEE COLUMN DEATH PER MILLION PEOPLE

      ALL NATIONS SHOWING LESS THAN INDIA ( 0.2 ) ARE UNDER REPORTING.

      WHEN MODI AND JAVEDEKAR ADDRESSED PARIS COP21--

      ALL THEY HAD TO SAY WAS " INDIA HAS THE LOWEST PER CAPITA EMISSION OF CARBON ON THIS PLANET. WE HAVE 1350 MILLION PEOPLE "..

      ALL YOU YOU WHITE DEEP STATE JEWS CAN CATCH AND SWING..

      http://ajitvadakayil.blogspot.com/2016/04/most-potent-greenhouse-gases-nitrous.html

      INSTEAD KAYASTHA PRAKASH JAVEDEKAR WAS LITERARY FALLING AT THE FEET OF EVERY WHITE JEW HE CAME ACROSS, GRINNING LIKE AN IMBECILE.

      INDIAN JUDICIARY AND THEY LACKEY MEDIA ARE DESH DROHIS.. THESE SLIMY BASTARDS ARE ZERO IN BRAINS AND ZERO IN MATH..

      WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION..
      IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES ETC ETC..

      INDIA IS NOW CONSIDERED UNFIT TO BE IN UN SECURITY COUNCIL.

      OUR FINANCIAL RATINGS SUFFER AS INDIA IS BRANDED A NATION UNFIT TO DO BUSINESS….


      WHY IS OUR ACTIVIST-- NAY- RABBLE ROUSING DESH DROHI MEDIA NOT PUNISHED ?.WHY IS OUR JUDICIARY IN FOREIGN PAYROLL?...
      https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

      capt ajit vadakayil
      ..





    DHARMAPADA  April 13, 2020 at 12:27 PM
    Dear Ajit Sir,
    Having worked in Hyderabad & also being heavily influenced by Bollywood then, I got fascinated towards Islam, Dargah, Kawwaalli, Sufi songs etc etc.
    For sometimes I believed that the most holiest spot on Earth is Kaaba.
    I used to visit Mecca Masjid in Secundarabad on Saturday Evening, every week.
    I would enjoy Falooda & fruit Custard, I believed these delicacies are their own, they discovered it.
    Hyderabad was different from Cuttack,Odisha though Cuttack has Islamic influences.
    I did in excess of random reading from here & there about Islamic History but it was all dispersed, nothing streamlined.
    I was on the verge of accepting Islam, how stupid I was.
    Bought a thick Quran from a shop near Punjagutta,Hyderabad.
    While Googling more on Islam, I found your Blogspot on "VEDIC PRACTISES IN MECCA -- AJIT VADAKAYIL"
    It was in the year 2013.

    Most Bloggers can't or won't, able to explain rationally about such topics.
    What I found in your Blogspot was Goldmine.
    It was totally different from other Bloggers.
    I have heard before that Al-Hazar-Aswad is infact Shiva Lingam.
    Mostly, such talks are not seriously accepted.
    All my apprehensions, doubts got cleared off after reading from your Blog.
    I got more clarity of information.
    The hyperlinks you share in your Blogs inbetween each Blog page, that's the best thing you do bcoz those who are aggressively searching for informations find easy to enter between co-related topics.
    I got addicted.
    Your Blog became my favourite passtime.

    Till date, the best series of Blog which I enjoyed among all your Blogs is "Lawrence of Arabia Series" followed by "Fatawa-E-Alamgiri series".
    All the informations are jaw-dropping.

    I ditched Wikipedia forever.

    From year 2013 onwards, I have been following you & you are the reason why I'm a staunch Hindu, a hardcore Nationalist.
    Otherwise I would have become a Moron, a sickular, a pseudo-intellectual.

    Bhagwaan Shri Jagannatha saved me, showing me the way to your Blogspot.

    The credit of me being a true Hindu/Sanatani goes to you only.

    Ajit Sir,
    You are simply a genius.
    आपजिसतरहविकल्पप्रस्तुतकरतेहैंकिसीभीविषयपर, ऐसाकोईऔरकरहीनहींसकता।
    Incredible...!!!



    Capt. Ajit Vadakayil  April 13, 2020 at 5:21 AM

    I ASK MY READERS

    HOW DID YOU STUMBLE INTO MY BLOGSITE ?

    ReplyDelete
    Replies




    CR  April 13, 2020 at 5:57 AM
    I was tired of being made to feel ashamed of who we are, it didnt feel right.

    I sensed dishonesty in how we were being portrayed, what we were taught and conditioned to believe or ourselves.

    I knew it was all lies when they painted us with their own debauchery, confirmed when an African received more pride of place in their history. I knew they didnt build the pyramids, and didnt believe in little green men.
    I just didnt know we did until I found your blog.

    I was supressed in search myself, my purpose of being seeking a way forth, of our noble truth and an eternal justice.

    I cannot truly remember which blog I read first, or when, I do remember it changed me a person instantly, and my life forever.

    I thought I was a man but I realised I was just an ignorant boy.
    A flame was lit.

    My soul, consciousness, needed answers to deep questions I didnt even understand but needed.

    This led me to stumble to answers inherently just, truthful and noble into your blogsite.

    Ive matured much since. I feel so grateful for that to the universe.


    THANK YOU




    Punith - Seeker  April 13, 2020 at 12:53 PM
    Hi Captain

    It was 2014, I was done with this sh!tty world. I was heartbroken. I was in deep trauma. There was no hope. There was complete darkness. I wondered why these bad things happening. Why people have become wicked, cunning, treacherous, etc etc. I don't remember it's a post about love or when lovers separate post. But I read whole day and night.. am sure I continuously read more than 50 blogs including Gandhi's all blogs, Indian freedom struggle, navi mutiny, Illuminatis, Sikhs history, Tipu Sultan, Kalidasa, Kanchi mutt, so many topics and I wondered what a man. I realised He's The One. I shared your blogs with many of my friends and they too are the silent readers. I read your blogs continuously for 2-3 years to understand them completely and verify the truth. Yes, everything you wrote was absolutely correct and everything made sense to me. Then only I started contributing to the V"Silent Revolution" because this light will remove all the pain and darkness from this world. I am 100 sure it does. More strength to you Captain. We love you.


    Happy Vaishakhi Captain and all readers.




    Trinity  April 13, 2020 at 11:21 AM
    Respected Sir,
    I was looking for information on the Mannarashala temple and it's Festivities,also about nagamani.that's when I stumbled upon your blog on King cobra and the snake temples of Kerala.it made a fascinating read,it was an eureka moment for me and I realised in a flash that this is what I have been looking for my whole life!! thereafter I was just hooked onto your blogs for several days, didn't know how time flew!!my eyes welled up with tears of joy when I used to listen to the Slokas you put at the end of the post....it was true bliss!!
    I regard King cobra as God and believe that God took me to your blogs at a time when I was in crisis situation in my life,in for a breakdown.my life changed for good after that in many ways.i realised the miserable life I was leading with no purpose/direction/meaning.for this am ever indebted to you and Ma'm!!
    Though I have come quite a long way now with your and Ma'm s blessings and grace of Lord Narayana and Devi,I guess it makes only 10% of what I wish to know and become.....
    I have enshrined you as my Guru in my heart and cherish the dream of becoming your sishya one day!!it is a deep yearning in me sir....
    Hope all is well with you and your family...
    My prayers for the well weing of you and your family and also fellow readers.
    Lots of love to you and Ma'm




    Pixar6  April 13, 2020 at 1:06 PM
    Dear Captain,

    Greetings.
    Wishing you, your family and all your blog readers advanced Vishu greetings.
    Celebrations may be limited, but not the spirit.

    Always used to check your comments on the articles published by TOI..Punch into Google in bold....
    Initially was like who's this and visited your site, as your comments always highlighted & contradicted the one published.. Finally punched into Google :o)

    I got sucked into the Vadakayil Vortex in 2012 and got liberated with one truth after another.

    One thing though Captain:
    (a) Ever since my school days (around 7th/8th), somewhere I always felt that there's unseen formula / relation in place behind everything, but couldn't find any answer to it; There were a mountain of questions which were unanswered

    (b) When studying History in school days, always felt that something was amiss right from the invaders plunder to Gandu* man's non-violence call during independence *sorry for the explicit reference.
    (c) How come, we're following a religion which has so much of dogmas & differentiates people among us.


    When I started reading.. the first blog took almost more than a week to complete... as there were more reference links within..
    Never after I used to visit Toilet paper of India...
    My days since then begins & ends with your blog even if it's only a quick reference, irrespective of time available.

    I'm not a very active person on Social Media nor have any accounts... But always keep propagating your messages through gmail, WhatsApp, friends..

    My own relatives used to think, something has happened to me (probably mad) when mentioned about many core issues (ex: history,health related)

    Some of your readers are celebrating a decade of readership :0)

    Always, wonder ifany one could be a human with this abundance of knowledge...& follow your comments.. I'm a normal human being...etc which amazed even more.

    Always pray for God's grace upon you and your family for everything you've stuck your hand, has had a positive impact in the longer run for the people and the country.

    Grace & Peace,
    JTA



    Ramas  April 13, 2020 at 12:59 PM
    Happy Vishnu to you, your family and all the fellow readers.
    How i stumbled upon this blog site..
    I used to surf internet for Indian, world and Samara dharam history.
    At one point of time I was very bitter against Muslims and Christians for their rule on us.
    I was drawn towards hardcore hinutva sites ( which I now know thanks to captain are running from Israel).
    Somewhere during that course of time, around 2012, I came across captains blog and then their was no looking back.
    The blog cleared my mind and set me on the right course of studying sanatan dharam and world history.
    This blog is the best thing that has happened on the internet.




    Munna  April 13, 2020 at 1:15 PM
    Dear Captain,

    wishing a happy vishu to you, your family & all the readers.

    i stumbled upon your blog in 2012 specifically the blog on niburu. then i read some other blog plosts & stuck here since then. i was in a very dark place with no hope when i came here & now i am in a very good place in my mind & life, all thanks to you. i incurred a unrepayable debt to you & my parents, hope that i would make you all proud some day.




    Nithya  April 13, 2020 at 1:24 PM
    Dear Captain,
    I had come across an article about an Australian couple doing agnihotra hona. I was intrigued and was googling for ways to perform agnihotra. Your blog link showed up in google search and I went through your post. It was interesting but I didn't explore further. That was in late 2017.
    Then in early 2018 somebody had posted your blog link about Kanchi mutt on FB. The guy who had shared your link had mentioned that he had felt something amiss about the mutt and your post only made it even more obvious. When I clicked on your blog link I realised that it was by the same person whose blog about agnihotra I had read a few months ago. It was shocking to read what you had written about the mutt but your words had an impact and felt genuine. From that post I started reading your other posts and I knew I had landed on something very precious. That was also the time you were writing about karma in the Sanatana Dharna series. That remains my favourite post of yours till now and that post had a deep impact on me. It helped me pull out of a very low and negative phase I was going through at that point.

    Unfortunately the guy who had shared your blog link about kanchi mutt passed away mid 2018. An untimely death as he was in his late thirties. Never knew him personally nor had I interacted with him on FB. But thanks to him that I stumbled upon your blog link that he had shared.





    Jeet_r  April 13, 2020 at 1:51 PM
    Pranam Ajit uncle _/\_

    Advance vishu wishes to your whole family and to all Sanatana Dharma followers.

    Its is because of our purva janma puniya karma that I reached your blogs in 2013 and from then my spiritual journey started to grow with the help of all ur revelation about our dharma and history which was hidden by enemies of Dharma for centuries.

    If you never started blogging and shared the revelation then there wouldn't be any other way to know all these.

    I am grateful to receive your revelation and deeksha, it means a lot for me. I believe everyone here shares the same feeling.

    Wishing you good health, strength and peaceful REM sleep.

    Regards with gratitude
    Jeet





    Jayan divakaran  April 13, 2020 at 1:55 PM
    How i stumbled on your blog?

    I was very confused that the main stream media is biased against our own nation, i was curious to know why is this media behaving like a Step father and i even doubted Barkha dutt, so i googled burkha dutt to know more about her, and i stumbled upon your blog on Barkha Dutt, the most ugliest reorter.





    Aiswarya r  April 13, 2020 at 1:37 PM
    Namaste captainji

    I was in class 11 when I first read your blog on calculus and how Newton stole it, when I was searching the History of calculus . First I didn't believe anything, slowing was addicted to this blogsite for past 7 yrs.
    You had covered every topic I also liked, from history ,geopolitics science to dharma and truth is
    a powerful drug. This is a pot of Ambrosia for me. Learnt a lot , owe you and Bharatmata alot.

    Thank you sir!




    Rajesh Rawat  October 23, 2019 at 9:50 AM
    Why did you put this blog and the comment "When there is danger of his ship sinking , the captain is a lonely man - Capt Ajit Vadakayil"

    I hope all is well with you. Just one comment is enough for your readers

    We miss you




    S  October 23, 2019 at 4:06 PM
    Just wanted to say. You are the BOSS. there can never been another Ajit Vadakayil in thousands of years. May God give you a long life. God knows how many "shipwrecked" souls you have saved by your blogging.




    Pratik  October 23, 2019 at 5:06 PM
    dear sir,

    Looks like you have quit blogging. It's a black days for us then. Totally our loss :( please don't go sir. We need you.

    Regards




    Punith - Seeker  October 23, 2019 at 10:27 PM
    Captain,bi don't know whether k have confessed this earlier or not.. but you're the reason I'm still alive today... I owe u alot.. and I don't know how to repay it.. I am trying to do my best.. but I know it's not enough.




    C Prabhu  October 24, 2019 at 11:23 PM
    Captain Sir,

    Are you still sore ? feeling a great sense of loss.. Please reconsider and come back..

    Regards,
    C Prabhu




    Rajesh Maurya  October 25, 2019 at 2:18 PM
    Pranaam CaptainSri

    Hope everything is fine. Taking off without information is the reason of concern. Enjoy your leisure time and rest. 99.99% Hindus do not deserve your services. You have written enough. More was expected by everybody, who wanted authentic material free of cost everyday. Hindus are not ready to unite. Not ready to fight for dharma and righteousness. All have become self-centered. I can feel your pain and heart-ache. It hurts badly when you fight for all and lead the unguided and all stakeholders start sleeping.

    There is no bastard Who is Who in India, who does not know your name, but all of them pretend to sleep 100%. Some readers who are no-body type, try to circulate messages and mail the authorities, but all goes in vain.

    Some different strategy is needed.
    Some rest is needed.
    Some re-thinking is needed.

    One thing i know.

    Everybody has questions.........except you.
    Only You have answers and solutions....

    May God be with you.

    Happy Dhanwantri Diwas.

    We pray for your health, safety, happiness and prosperity.

    Jai Ho !!!



    charishma October 25, 2019 at 9:26 PM
    The man who made a dent on the planet by exhuming sanathanadharma and exposing deep state suddenly went silent...why captain?I dont know whether you are reading our comments or not...
    HAPPY DIWALI TO YOU AND UR FAMILY CAPTAIN...
    Atleast come live on blog occassionally captain..we want to listen from you and feel your presence on blog....dont boycott us forever...love u forever...
    Take care...

    With love
    Charishma




    Prapulla  October 26, 2019 at 7:26 AM
    Hope everything is fine Captain. It has been many days since we heard from you. It is a worrying as you write the truth. The enemies multiply with time.

    Regards,
    Prapulla




    Nishant Goyal  October 26, 2019 at 8:33 AM
    Please come back. It's Diwali. Please Guruji. Humanity needs you. Shat shat pranaam.


    Rajesh RawatOctober 26, 2019 at 9:28 AM
    Dear Captain

    Wish you a very Happy Diwali to you and your family.
    We miss you, you're like a family.. our lifeline

    Om Namah Shivaya






    Sambit Dash  October 26, 2019 at 11:25 PM
    Guruji Pranam
    Happy Deepavali to you and your family and all dear readers.
    It is evident that you are angry at your readers and rightly so..I feel we don't deserve a guru like you..years of being raised in a mindset of slavery has numbed us into indifference..but we have woken up thanks to you..it may take time but slowly n surely we will be the brave truthful citizens of Bharatmata that you want us to be..
    Thank you for all that you gave us.
    Strength and honour always..




    Cybergeek  October 27, 2019 at 7:30 AM
    Respected Sir,

    Wishing you and your family a Happy Deepavali! I sincerely hope that you are safe and doing OK. The silence is deafening!!

    I agree that the world and especially we Indians don't deserve a guiding light like you! It is better to perish because of your curse or Kalki's purge rather than being destroyed by the forces of darkness.

    The world is getting crazier day by day and the plan's of NWO are well under way. Hope that we get to see the effects of Kalki soon.

    Sincerely,

    - Srinath





    Amol Vijay Sutrale  October 27, 2019 at 8:56 PM
    Dear Captain, wishing you and your family a very Happy Diwali. I'm writing to you after a long time.

    A lot has changed. Your blog has evolved.

    You have become the last bastion of trust for entire humanity to uplift itself from dark age of disinformation.

    You cannot stop writing.

    Do not expect your readers to leave their life responsibilities to spread you.

    You do not need it.

    Your readers are mainly hardworking people who toil to make ends meet.

    You have led a silent revolution, beginning alone.

    We readers want our old Captain back,who could tide any storm, singlehandedly.

    We want our super confident leader who instilled pride in our hearts for our origins.

    Stop this status quo.

    We humans do not know, how much time is left in our lives with each passing breath.

    Keep writing as always.

    Give all that you can.....to humanity.




    Pratik  October 30, 2019 at 8:36 PM
    Guruji

    I understand your pain beacause of the ungrateful readers who don't want to spread your messages and obtaining free ka maal. But please don't quit blogging for the sake of our future generations. Please guruji. If you don't reveal all nobody can till sun goes supernova. Nobody can do sphota thinking like you in future also I doubt. You are shining the light of truth in this ignorant , dark world. Please request you to come back.

    Pranam.




    Ramas  October 31, 2019 at 1:55 PM
    Come back to writing pls.
    ..if i may take the liberty, Krishna asked to do karma without caring for the results..
    You are the most inspiring person in my life.
    I am doing what you asked as per my abilities.


    DeepakNovember 1, 2019 at 7:42 AM
    Namaste captain ...I hope and pray you are well...maybe your younger son is getting married , it's not that I miss your blog...you have become a inner voice in me...
    Gratitude to you , we own a lot to you ...thankyou caption for everything ...I feel you are just busy in some work but am not sure.... wherever you are ,my humble namaste to you ...you are my only hero.





    DHARMAPADA  November 1, 2019 at 9:26 AM
    Dear Ajit Sir,

    Please!
    Where are you?
    There was no pre-condition set when you started your blogging then.
    Over the passage of time, there happened this gradual paradigm shift.
    Conditions were set & things started souring.

    What about us, your readers for the past half a decade atleast

    We are feeling empty without

    On your Birthday, nearly 304 readers wished you, among them not even 30 Readers bother to engage on other social media platforms to engage into information sharing, atleast for the sake of Nation.
    They didnot do , they never do but you are so generous to give priceless Deeksha to everyone.
    Your large-hearted attitude.

    Literally, your absence has made me feel that I'm missing you, we are missing you.

    Kindly do get back.
    Plz do get back and it is so satisfying to discuss with you every time I put questions except the part where you blasted on me like anything.
    It was an emotional breakdown for me after I read your reaction about me.
    I haven't come out from that but I hope this fades out with time.
    You are the Dearest, it hurt me when you reacted on me as such
    Plz do get back
    We miss you!!!




    Satish Patil  April 13, 2020 at 2:22 PM
    Namaste captain sir
    Happy vishnu to you, your family,
    I am following your blog from last year when I was see your name on fb comments mentioned by nandulal gavaliji and It's been amazing life changing experience for me.
    Om namah shivay_/\_




    Aswini  April 13, 2020 at 4:50 PM
    Dear Sir
    Wishing you a very happy vishu...i really don't remember how i stumbled on your blog way back in 2012... but i really feel it was the best path God had shown me...i have made significant changes in my life after reading your blogs an your effective parenting blog is the one i read very often since even i have two little sons....once again wishing you n your family a very happy vishu...
    Regards
    Aswini





    Tyu  April 13, 2020 at 4:44 PM
    I came across your blog through TOI (the only benefit I have gotten from that media). I was literally like who is this crazy MFer typing comments in ALL CAPS. It worked, I was hooked. Must be at least 6 years now. The revelations are EPIC and there's more to come WOW!!




    chiron  April 13, 2020 at 5:00 PM
    Dear Captain,
    You were destined to come into my life! When much younger, it was predicted that an unusual, maybe internet-based spiritual guru would enter my life. It happened at just the right time and circumstances as predicted.
    As a student of science, i was intuitively aware that vedanta is quantum science. Of course none of the friends, colleagues, elders understood what it meant.
    Only someone, who could connect the two, spirituality and quantum science, could have convinced me of their worthiness. Such is the arrogance of youth.
    Later, i was the teacher, mentor and guru to my own students.
    Then came a crisis, shaking the very foundations of life, relationships and the world around. Everything was called into question. There started a quest to understand the truth, digging beneath the surface like a true scientist.
    The teacher now needed to become a student, needed a mentor.
    Your blogs were the only ones to explain sanatana dharma, vedanta as quantum science. You also exposed the true state of the world, versus how its presented to be.
    I had found my guru.
    Your word is being spread in subtle ways..to the right target audience. Most, or at least some of us followers on this blog are going through difficulties because we choose to live life with integrity, which gets a nasty push back from this world.
    So all of us do not have the same resources, to be active on social media.
    Yet all of us are doing our bit.
    Ever grateful
    Regards
    Madhav




    Nagarjun Reddy  April 13, 2020 at 4:56 PM
    Happy vishnu to you and your family guruji,I first stumbled in to your site when I have been in a very self-loathing condition before 3 years.At that point my brother-in-law has given me your blog to go through the santhana dharma series.From that point of time in my life as a hindu I am filled with pride and started studying quantum physics(which is outward to inward direction) of knowledge and started to read you blogs on sanathana dharma where quantum physics is no where match for our santhana dharma.With sense of gratitude and shraddha I had tattooed your telemor rejenuvate deeksha.And had also been following your path and has been spreading your wisdom to most of the people and asked them to follow their conscience and experience the glory of sanathana dharma.There is no other man in this world who has written blogs on those many topics and no one can write in future.I accept all your scoldings and criticism with all sense of gratitude as I didnt respond to most of your comments but had done for few of the posts.But I will be spreading your wisdom which I have learnt to most of the people around me.Will be in gratitude with you forever as guruji for enlightening us.

    With gratitude and shraddha.





    Unknown  April 13, 2020 at 5:11 PM
    Dear Captainji,

    Wishing you, Amma and family a very Happy and Blessed Vishu. Also to all my friends here.

    Thank you for your wishes and blessings, Sir.

    I stumbled upon your blog while I was looking for spiritual articles to read. But I cannot really remember which year it was. From one article to another led me to where I am today. Becoming a staunch follower and totally in awe with you and your knowledge, wisdom and revelations.

    You are God's gift to us all and I hope that more and more people stumble upon your blog as there are still countless of Hindus who do not realise the greatness and glory of Sanatana Dharma. Same with Indians who believe all the lies that are spewed and look down on India.

    May we all overcome the darkness of Covid19 and come out of it stronger in this New Year.

    Thank you Sir.

    Regards,
    Bunga





    Debdoot Sarkar April 13, 2020 at 4:54 PM
    Pranaam Guruji

    8 or 9 years back or so, I was a typical confused not so religious pickle John living a life of lies, doing drugs, alcohol, dating etc , due to which I was mostly sad and low , I was looking for an escape from that constant mental agony, I was restless.. felt running away from everything, become a monk somewhere in the himalayas , I started reading about Indian monks, their lifestyle, about religions online, most importantly peace, none could satisfy my queries, one day while casually researching for causes of world miseries I found about rockfellers, a Google search lead me to your blogsite, I started reading your blogs, my first impression was you were boasting about yourself and that you are not what you are pretending to be, although deep down I had a hunch you are the one who has all the answers I was looking for. I was right, I got hooked, I found peace in your blogs and I never looked back.

    I am not the same person anymore.

    I feel lucky, grateful to have found your blog the only place which gives me solace.

    For me you are the God _/\_

    Love you

    Thanks And Regards
    Debdoot Sarkar





    Kannan  April 13, 2020 at 3:37 PM
    Master Ji,

    It was Sept 2016 - got stumbled - rather I would say it is blessing call to your blog while searching on God Shiva and Kundalini and then saw your post on Kundalini /theory of Everything / the Dhamru Post / 2012 Post etc - I over looked them and then started reading them.

    The blessings did not stop there - it continued all through out till date.

    You blew me off - your truth took me to different level - your words changed my understanding - gave new Wisdom Path.

    Used to Read Bible Quran and Bhagavad Gita every day - and had lot of questions with in and was searching for right guidance towards - and got blown off by your answers.

    For Sure I felt very strongly - You are My Master Sent by my priya Shivji for my soul awakening - my inner voice said it.

    Started following your blog - Theory of Everything based on it I made school project for my Daughter on Tensegrity - She won 2nd prize for that.

    Lord Ayyapa - Maharajothi Post - suddenly on fine day of Pooja - don't know what has happened to me - took my parents to the Maharajothi Dharshan 2017. It was blissful experience.

    Always used to compare your words with Bhagavad Gita - try to experience or understand something.

    For sure know that my Master Ji would clear my Karma - You showed me the way to see Shiva-Sakthi in all - felt your blessing and presence always near to me - When went to Thala Kaveri/Kukkae Subramnaya/KumbaKonam , in REM sleep / Dreams etc..

    There is lot and lot to say - the experience goes on - wish it continues till my soul dissolve with my Shivji.

    Namaskaram to Shiva Jivan - The greatest enlighten shining - Lightning Soul in this era Master Ajit Ji - seeking your blessings and guidence all throughout my life.

    Thanks a zillion.

    With Highest Gratitude - Namaskaram touching your feet.




    E.S.Manian.  April 13, 2020 at 3:37 PM
    Dear Captain Ajit Vadakayil sir,
    I was a 'spiritual guide' to youths in a university,when my friend introduced me to your blogs saying ,i can get info on any topic and the best part he said is that you reside somewhere in the same place. May be i was in touch with your personal aura. After reading your blogs for some time, i stopped my guiding profession.




    Rajesh Maurya  April 13, 2020 at 2:55 PM
    Pranaam CaptainSri,
    🙏🙏🙏 

    I was searching some authentic material content on TANTRA as I was reading and listening Osho those days (I have read and listened 50% of Osho books and audio discourses), after having doubt on over sextising the things by Osho. . .and stumbled on TANTRA THE VAMACHAR LEFT HANDED PATH post while in mess for dinner.. I still remember that i read full night and next morning went on duty without having a sleep. My contact with Dr. Swami ended because of some questions which arose after reading this blog site. I am grateful and thankful to God for landing me on this blogsite.

    I have posted 1000s of time on social media apealing people to refer this blog and get enlightened on famous social media pages run by swamy, osho, asaram bapu, art of living and many political spiritual personalities. .. Only God knows how much have refered this site or not.

    I read 6 hours on an avarege perday throughout the year since last 30 years and reading ONLY this blogsite since 2013-14...and all I say from my experience that I have arrived at the right place.

    I remember senior readers of this site. .. .Nelson Singh, Ishan Sharma, Jayan Divakaran, Mahendra Maggavi, aashish sharma, bhuvan som, chetan patel and all.

    I hope I was the first person to say that captain has written more words on more topics in 6 years than Osho spoke in 36 years.

    Osho held a record on speaking most words on most number of topics said by a man in human history under the sun, before CaptSri. I used to convince my friends saying that writing takes more time than speaking. . What Osho spake in 36 years.. Captain wrote more than that just in 6 years... whenever I tried to convince someone to read this site. Second thing i used to say is. .. . Captain writes daily that much which you cannot read on daily basis



    Lone Wolf  April 13, 2020 at 2:49 PM
    Hello captain,

    I was 16 at the time and was curious about Sino-Indian war of 1962. Your blog was among top results(Why India lost Sino Indian war of 1962). I distinctly remember being hooked on and instantly took a liking for your writing style. I quickly followed it up with admiral graf spee and bismarck posts. 4 years later my addiction to blogs has only increased.




    MERLINBEE  April 13, 2020 at 8:27 PM
    Sir, the answer as I see it is very simple. It is Kaliyuga and someone has to carry the burden of Evil. I can't think beyond this.

    The nature of Evil is such that the perpetrators know it not. Only the light of awareness can clear the fog. But this is for those who know it not.

    Here, the ones you mention revel in Evil. From your blog only, I could understand it's in their DNA. Their genome speaks to them in the form of Evil. The light may never shine on them.

    Even Duryodhana and the Kauravas, being test tube born and thus devoid of conscience knew it not. Lord Krishna gave them Moksha.


    Sir, now I can see the connection from you all the way to Lord Mahabali. There couldn't be a more opportune 
    moment to set things right. Only you could do it.





    Trinity  April 13, 2020 at 8:35 PM
    Respected Sir,
    You are brutally honest and almost all people are unable to handle and come to terms with the facts you state.the truth is very bitter to lump.most people live a pretentious selfish life conforming to the rules and standards set by the corrupt and egoistic evil powers at the helm of the society.maybe it's because of the Kaliyuga where morals and ethics alongwith conscience are at the rock bottom.virtues have been overtaken by vices.it is at this juncture that you stepped into the scene as a tornado stating the truth/facts,showing the mirror where one has to see the ugly and filthy self.this is easier said than done....
    Now to add to this sorry state is that it comes from a brown skinned Indian who is considered a pagan savage not worthy of any appreciation whatsoever when in reality India is the cradle of civilization.you are hitting at the very roots of the evil powers and on the verge of wiping them out.it is a losing battle and truth will triumph,victory is yours!!
    You are bringing in a new moral climate as a visionary and revolutionary and it's a matter of time.you are taking on the mighty Rothschild and it's evil tentacles spread out--Lord Kalki will finish it off!!it's checkmate....
    Thank you




    Suman  April 13, 2020 at 8:31 PM
    I really wish Modi learns leadership spirit from you, accept you as his friend rather than enemy. It is a matter of blessing and great pride to learn from the learned.

    With you by his side, he doesn't need to bother about any enemy or enemies in friends mask.

    Donald Trump won, survived and is now thriving against all odds. Duterte considers you as his great friend and well wisher of his country.





    MERLINBEE  April 13, 2020 at 7:13 PM
    Sir, I came across a link to your website back in Jan 2018 in an article in postcardnews website stating that Sirdi Sai Baba is fake. I rushed to your link and it blew my mind off.

    After that for several months I was mesmerised. No looking back. Article after article. Voracious reading. I stopped reading from all other sources except news. If I read anything outside of your blog they were comics - Amar Chitra Katha, Indrajal and so on.

    There was no other topic for me to discuss or share. My eyes were opening wider and wider, things were falling into places, and I was flooded with answers.

    Some questions were:

    How old are our temples in Kerala? Why Kerala never celebrates Diwali or Holi? How such an intricate art form like Kathakali developed?

    Questions about Aliens, UFOs, Pyramids, and ancient civilisations across the whole planet.

    And then there was this whole mystery behind Kerala.

    Sir, I am feeling too overwhelmed as I type this out. There isn't an iota of doubt in my mind regarding anything I have read and continue reading in your blogs. Absolutely none. It's like digging deep into my own being.

    Suddenly, with the pandemic around, today the world is no longer the same. I feel like stranded in a huge spaceship - not knowing where from it is coming from or to where it is heading. Your blog is the only guiding light.





    MSP  November 5, 2019 at 9:50 PM
    Dear King captain,

    Hoping all is well from your side as it has been quite some time you responded on the blog.

    Wishing you have a happy and King sized peaceful vacation big boss!!

    Good day !
    Madhu





    Amit Mittal  November 5, 2019 at 9:53 PM
    Ajit Sir Namaskaram
    Where are you Chettan.
    Your readers are really afread, why there is no post for a long time. Are you alright?




    Rishi Kesariya  November 5, 2019 at 10:52 PM
    Sir,

    Many of your readers are worried. Hope you are fine?

    Regards




    Free Spirit  November 6, 2019 at 1:09 AM
    Namaste!

    Captain, just post that you are fine and healthy even if you don't write anything else.
    Its worrying me that something happened to you!

    Please announce that you are okay.





    Vrundav  November 6, 2019 at 5:25 AM
    Hello Guruji, we haven't seen any updates or blogs for a while, is everything ok?
    God bless you





    Sriganesh  November 6, 2019 at 6:09 AM
    Captain sir,

    I'm wondering where have you been and been searching for you in google to find your old comments in TOI and then suddenly noticed your new comments on RCEP and other articles.Please come back and start blogging and write more about santana dharma and be a guiding spirit to our lives.

    Pranamams,
    Sriganesh





    Thyaga  November 6, 2019 at 7:45 AM
    Dear Captain,

    Hope all is well .. this blogpost name itself says your thoughts :(..Praying for, Hoping and waiting for your return Captain





    Jayasree Narayanan Pillay  November 6, 2019 at 12:03 PM
    Guruji please come back ..... we are eagerly waiting for you. There is no excitement.





    DHARMAPADA  November 6, 2019 at 12:45 PM
    Dear Ajit Sir,
    Where are you?
    Please get back to communication.
    Nothing seems to be more satisfactory than a conversation with you over Comments section.

    Even your conversation with others are enough to make us feel satisfied. We read it!

    Have been following you for so many years.
    Your sudden decision to remain cut-off, your absence is haunting.

    Plz resume atleast to communicate with us, to blog or not is your choice, we can't force you but do communicate plzzz

    Ajit Sir,
    Please get back, we miss you literally





    Veena  November 6, 2019 at 12:46 PM
    Dearest Captain
    Kindly let us know that you are doing well.

    Thank you

    With gratitude
    Dr. Veena J.Nair





    Prapulla  November 6, 2019 at 3:06 PM
    Please let us know that you and your family are safe Captain. It has been close to a month since we have heard from you. Hope everything is fine.

    Regards,
    Prapulla




    VInithG  November 6, 2019 at 5:35 PM
    Gurunatha!
    I trust you have not banned me to read your blogs and participate wherever i can!..i think you are taking some rest and definitely open the blog for your beloved...though this being a muting period i am conscious of this world and its political happening not bothered about much and just thinking about Dharmik happenings.Had worries but not now!!!.i am not well now and for past few weeks my entire family were sick.
    Awaiting the birth of KALKI... my prayers!!!!!
    Vinith
    Strength and Honour




    A K JANGRA  November 6, 2019 at 9:00 PM
    namaste captain ji,

    miss u captain. why you not come online ?

    hope everything okay.

    may u live long. god bless u captain to you & your family.

     '



    Anurag Malhotra  November 6, 2019 at 10:06 PM
    Dear Captain sahab, A teacher does not abandon his students, however nalaayak they are.
    Please come back.




    Unknown  November 6, 2019 at 10:41 PM
    It is very painful and demoralizing Capt. Please come back.
    Atleast say that you are fine and you are busy!!
    Please do not be indifferent.

    Regards
    S





    DHARMAPADA  November 6, 2019 at 11:00 PM
    Dear Ajit Sir,
    कहाँखोगएआप
    वापसआकेatleast communicate किजीये plz
    Communicate तोकिजीये
    Feeling empty without you
    You are our world
    Trust me!

    CPV KumarNovember 8, 2019 at 12:21 AM
    Respected Sir, How are you..? Are you in some emergency..? I have been sharing all your precious posts and comments in fb, telegramme political groups & whats app without any failure.. I know I was not up to the mark the way you wanted.. Please write something about your present status.. Your silence is deafening.. Sashtanganamaskaram ..




    rajan  November 8, 2019 at 6:57 PM
    Dear captain is evertying okay? Really missing you





    Unknown  November 8, 2019 at 9:48 PM
    Dear Capt.

    I guess you are occupied with something important. My best wishes !!
    Do say scold us in ur Blog! Or else we will get Depressed!!

    My humble request.


    Regards
    S





    DHARMAPADA  November 9, 2019 at 2:09 AM
    Dear Ajit Sir,

    Where have you gone missing?
    Tomorrow is Ram Mandir verdict to be delivered
    Please get back to communication atleast

    Feeling lonely without you.
    We don't find any damn social media personality of any substance.
    सबबकवासलगरहाहै
    Ajit Sir,आपकेबिनाहमबेकारहोगएहैं
    Feeling very inferior for no specific reason

    कृप्याकरकेसम्पर्कतोकिजीये
    Plz get back to communication

    किसीकोकुछनहींआताbut they have taken centre stage bcoz you are silent
    Your blogs used to keep everyone grounded but in your absence imposters have again started taking centre stage

    Plz get back
    It will be a relief for us





    Rajesh Rawat  November 9, 2019 at 12:08 PM
    We are missing you in this historic win Capt Ajit Vadakayil.. You made us all proud of our Hindu Roots and to the watan

    We want to celebrate this win with you

    Jai Shri Ram

    Hope you're well Captain



    Krish  November 9, 2019 at 12:12 PM
    Heartiest Congratulations Captain💐💐💐

    Thank you for your efforts🙏🏻

    Rama is returning from Vanavaasam





    ABHIJIT M  November 9, 2019 at 12:26 PM
    Guruji..Ram mandir verdict is in our favour..It was only possible because of your perserverance. Request to please come back! We all are missing you badly.

    Jai Shri Ram





    Muthu Swamynathan  November 9, 2019 at 1:06 PM
    JAI SHRI RAM!!!!!!

    Captain, An emotional and historical moment for us. I remember many short stories of Maryadha purusha Lord Ram in your blogs. Captain, your contribution to spread the truth about Lord Ram and Ayodhya to the masses and to the authorities cannot be measured. I will be grateful to you forever. Captain, please resume blogging in this auspicious day.

    Yours truly,
    Muthu Swamynathan.





    DHARMAPADA  November 9, 2019 at 1:20 PM
    Dear Ajit Sir,

    Congratulations & Thank you very much!
    You whipped up the passion.

    Facts are Facts.

    Secular forces were brainwashing naive Indians, your Blog on Ram Mandir was the final nail on the coffin of dispute.

    Since your Blog delivery, multiple voice raised for Ram Mandir, else never hear such a chorus before.
    Not even from my Father.

    Ram Janm Bhoomi finally saw it's light of the day.

    Please get back and communicate with us.
    We want to hear you!

    Sir, your review matters.
    Ajit Sir, plz get back to communication.

    Please get back!
    We miss you a lot!!!





    Srinu  November 9, 2019 at 2:12 PM
    Hi Sir,

    Congratulations and thank you for your blog which contributed to today's Verdict.

    Thanks,
    Srini




    Jayasree Narayanan Pillay  November 9, 2019 at 3:21 PM
    Guruji please come back - we need to celebrate the news of Ayodhya Verdict with you.





    Suman  November 9, 2019 at 3:34 PM
    Dear Captain,

    Congratulations! Ram temple in Ayodhya. Your efforts have paid off.

    Your readers love you Captain.

    Suman





    Satish Patil  November 9, 2019 at 5:09 PM
    We are missing you in this historic win Capt Ajit Vadakayil.. You made us all proud of our Hindu Roots and to the watan

    We want to celebrate this win with you

    Jai Shri Ram🙏🙏





    C Prabhu  November 9, 2019 at 8:22 PM
    Captain Sir,

    You are greatly missed by all of us, Would you please reconsider your decision ? Only you were able to see through all the fog of lies, intrigue and tell the truth. You are immensely needed now, more than ever. Please come back, reduce your blogging but dont abandon us.

    Best Regards,
    C Prabhu





    Saurin Purohit  November 10, 2019 at 9:09 AM
    Apologies..Capt ..please come back.
    I miss you.
    Thanks.
    Saurin





    Tyu  November 10, 2019 at 11:53 AM
    Where are u? Please let us know at least that u are ok.


    Mohit HandaNovember 10, 2019 at 3:33 PM
    Namaste Captain Ajitji,

    We are still waiting for your comeback. Again hope everything is fine.. I would like to imagine that you are testing us... We are constantly reading your times of India comments.. I have told other to support on that.

    Praying for your well being and hoping to see you back in action with double energy.

    Regards
    Mohit




    Sangeetha  November 11, 2019 at 8:38 AM
    We miss you captain , in this moment of happiness of Ayodhya verdict. Hope you are well.


    Amit MittalNovember 11, 2019 at 11:03 AM
    Chettan

    Pls return back.

    You may feel that your readers are not following your instructions. But they are following the true knowledge received from your posts. They are no more SELF LOATHING Hindus. They are now proud Indians and Proud Hindus.

    Pls resume yory blogging, it may not serve your purpose by giving comments in the newspaper websites.

    Your mission is being spread by your readers in a stronger way.

    Regards

    Amit Mittal




    Deepak  November 11, 2019 at 6:29 PM
    I hope you are fine beloved caption...I don't know ,will forever be grateful to you captain , you will always remain in my heart ...I feel one day you ll come back..





    Veena  November 11, 2019 at 9:37 PM
    Dearest Captain
    Kindly let us know you are fine ...please

    With gratitude
    Dr. Veena





    Anu21  November 13, 2019 at 4:58 AM
    Captain Sir, where are you? Please come back it has been a month and missing your words of wisdom and truth.... pranam -Anukul





    mk  November 13, 2019 at 9:02 AM
    namasthe Sir,

    I couldnot read your blog sir, if you blocked me kindly unblock me sir. SOrry if i have done any mistakes. please sir, rekha





    DJ  November 13, 2019 at 9:05 PM
    Welcome back Guruji,ee were waiting for you only.From past month ,so much was happening and ,we missed you.Please take care.





    S  November 13, 2019 at 10:27 PM
    Dear Capt,

    We are in Bliss now!

    We were so worried and in DEPRESSION!

    I am speachless...

    Thanks for you gratitude on us vigourless/spineless/worhtless fellows!

    Regards,
    S





    DHARMAPADA  November 14, 2019 at 12:42 AM
    Dear Ajit Sir,

    You are back

    Thank you so much

    I missed you a lot

    I felt very lonely

    Without you totally demoralised

    I literally missed you

    Can't express how much relaxed by heart & mind I'm feeling after finding your communication here

    Thank you
    Thank you
    Thank you





    KanDyFloes  November 14, 2019 at 2:05 AM
    Glad to see you back Caption!!

    What did you do to recharge your battery?



    Capt. Ajit Vadakayil  November 14, 2019 at 5:32 AM

    1567 LONG POSTS IN TEN YEARS HAD DEPRIVED ME OF REM SLEEP.



    I GOT MYSELF SOME REM SLEEP..




    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY LIAR ASHOK SWAIN ..WHY IS HE RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES .. ALONG WITH SOME INDIAN COMMIES/ NAXALITES..
    https://twitter.com/ashoswai/status/1250078811418439681

    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE NATIONS..

    https://www.worldometers.info/coronavirus/

    IN COMPARISON TO INDIAs 0.3 ( WE HAVE 1350 MILLION PEOPLE ) , SWEDEN IS 102..

    SPAIN/ 390
    BELGIUM/ 359
    ITALY / 348
    FRANCE / 241
    UK/ 178
    USA/ 79

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION..BY TRAITORS LIKE ASHOK SWAIN..
    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES ETC ETC..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..

    https://twitter.com/Kalki783/status/1250094779251281921/photo/1

    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil
    ..

    1. PUT ABOVE COMMENT IN WEBSITES OF--
      ASHOK SWAIN ( PUT SCREEN SHOT IN TWITTER SITE-- VERIFY IT )
      PM OF SWEDEN
      AMBASSADOR TO FROM SWEDEN
      DEAN UPPSALA UNIVERSITY
      DONALD TRUMP
      PUTIN
      BORIS JOHNSON
      MACRON
      ANGELA MERKEL
      AMBASSADOR TO FROM USA / RUSSIA UK/ FRANCE / GERMANY
      PMO
      PM MODI
      MINISTER/ MINISTRY EXTERNAL AFFAIRS.
      AJIT DOVAL
      RAW
      NIA
      IB
      ED
      CBI
      AMIT SHAH
      HOME MINISTER / MINISTRY
      DEFENCE MINISTER/ MINISTRY
      ALL 3 ARMED FORCE CHIEFS -- PLUS TOP CDS CHIEF
      ALL DGPs OF INDIA
      ALL IGs OF INDIA
      COLLECTORS OF MAJOR CITIES OF INDIA
      ALL CMs OF INDIA
      ALL STATE GOVERNORS
      EVERY MP OF INDIA
      EVERY MLA OF INDIA
      NCERT
      EDUCATION MINISTRY/ MINISTER- CENTRE AND STATES
      NITI AYOG
      AMITABH KANT
      PRESIDENT OF INDIA
      VP OF INDIA
      SPEAKER LOK SABHA
      SPEAKER RAJYA SABHA
      PINARAYI VIJAYAN
      ALL MLAs / MPs OF KERALA
      ALL MEDIA OF KERALA
      ALL COLLECTORS OF KERALA
      RSS
      AVBP
      VHP
      MOHAN BHAGWAT
      RAM MADHAV
      MOHANDAS PAI
      RAJEEV CHANDRASHEKHAR
      DAVID FRAWLEY
      STEPHEN KNAPP
      WILLIAM DALRYMPLE
      KONRAED ELST
      FRANCOIS GAUTIER
      NALIN KOHLI
      GVL NARASIMHA RAO
      SAMBIT PATRA
      ASHOK PANDIT
      ANUPAM KHER
      KANGANA RANAUT
      VIVEK AGNIHOTRI
      MEENAKSHI LEKHI
      SMRITI IRANI
      PRASOON JOSHI
      SWAPAN DASGUPTA
      MADHU KISHWAR
      SUDHIR CHAUDHARY
      GEN GD BAKSHI
      RSN SINGH
      ARNAB GOSWAMI
      NAVIKA KUMAR
      ANAND NARASIMHAN
      UDDHAV THACKREY
      RAJ THACKREY
      SHAZIA ILMI
      CHANDA MITRA
      SRI SRI RAVISHANKAR
      SADGURU JAGGI VASUDEV
      BABA RAMDEV
      THAMBI SUNDAR PICHAI
      SATYA NADELLA
      CEO OF WIKIPEDIA
      QUORA CEO ANGELO D ADAMS
      QUORA MODERATION TEAM
      KURT OF QUORA
      GAUTAM SHEWAKRAMANI
      ALSO SEND TO THE DEANS OF THE FOLLOWING UNIVERSITIES..

      UNESCO Chair of International Water Cooperation, and the Director of Research School of International Water Cooperation at Uppsala University. He has been a Mac Arthur Fellow at the University of Chicago, Fellow at UNRISD, Geneva; and visiting professor at University of British Columbia, University of Maryland, Stanford University, McGill University, Tufts University and University of Natural Sciences and Life Sciences, Vienna.

      ENTIRE BBC GANG
      ROMILA THAPAR
      IRFAN HABIB
      VC OF TISS/ DU/ JU/ JNU
      SOCIAL SCIENCES PROFESSORS OF TISS/ DU/ JU/ JNU

      SPREAD ON SOCIAL MEDIA



    1. WE THE PEOPLE ASK MODI..

      DID YOU SERVE TEA AS A CHAIWALA PEON TO SWEDISH PROFESSOR ASHOK SWAIN IN 1995 ?


      https://mobile.twitter.com/ashoswai/status/1106833844102197249

      THIS TRAITOR IS A FAVOURITE OF PAKISTAN AND IS IN PAKISTANI ISI PAYROLL..

      https://mobile.twitter.com/ashoswai/status/1207629510558044160

      IF I WERE PM

      ITALIAN MAINO JEWESS SONIA GANDHI WOULD HANG FOR FORMING NAC AND RULING INDIA AS EMPRESS WITH FOREIGNERS LIKE BELGIAN JEAN DREZE ( WHOSE WIFE BELA BHATIA IS A NAXALITE ).

      READ BOTH PARTS OF THE POST BELOW-

      https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF--
        ASHOK SWAIN ( PUT SCREEN SHOT IN TWITTER SITE-- VERIFY IT )
        PM OF SWEDEN
        AMBASSADOR TO FROM SWEDEN
        DEAN UPPSALA UNIVERSITY
        DONALD TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        AMBASSADOR TO FROM USA / RUSSIA UK/ FRANCE / GERMANY
        PMO
        PM MODI
        MINISTER/ MINISTRY EXTERNAL AFFAIRS.
        AJIT DOVAL
        RAW
        NIA
        IB
        ED
        CBI
        AMIT SHAH
        HOME MINISTER / MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEFS -- PLUS TOP CDS CHIEF
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        COLLECTORS OF MAJOR CITIES OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        NCERT
        EDUCATION MINISTRY/ MINISTER- CENTRE AND STATES
        NITI AYOG
        AMITABH KANT
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        PINARAYI VIJAYAN
        ALL MLAs / MPs OF KERALA
        ALL MEDIA OF KERALA
        ALL COLLECTORS OF KERALA
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        MOHANDAS PAI
        RAJEEV CHANDRASHEKHAR
        DAVID FRAWLEY
        STEPHEN KNAPP
        WILLIAM DALRYMPLE
        KONRAED ELST
        FRANCOIS GAUTIER
        NALIN KOHLI
        GVL NARASIMHA RAO
        SAMBIT PATRA
        ASHOK PANDIT
        ANUPAM KHER
        KANGANA RANAUT
        VIVEK AGNIHOTRI
        MEENAKSHI LEKHI
        SMRITI IRANI
        PRASOON JOSHI
        SWAPAN DASGUPTA
        MADHU KISHWAR
        SUDHIR CHAUDHARY
        GEN GD BAKSHI
        RSN SINGH
        ARNAB GOSWAMI
        NAVIKA KUMAR
        ANAND NARASIMHAN
        UDDHAV THACKREY
        RAJ THACKREY
        SHAZIA ILMI
        CHANDA MITRA
        SRI SRI RAVISHANKAR
        SADGURU JAGGI VASUDEV
        BABA RAMDEV
        THAMBI SUNDAR PICHAI
        SATYA NADELLA
        CEO OF WIKIPEDIA
        QUORA CEO ANGELO D ADAMS
        QUORA MODERATION TEAM
        KURT OF QUORA
        GAUTAM SHEWAKRAMANI
        ALSO SEND TO THE DEANS OF THE FOLLOWING UNIVERSITIES..

        UNESCO Chair of International Water Cooperation, and the Director of Research School of International Water Cooperation at Uppsala University. He has been a Mac Arthur Fellow at the University of Chicago, Fellow at UNRISD, Geneva; and visiting professor at University of British Columbia, University of Maryland, Stanford University, McGill University, Tufts University and University of Natural Sciences and Life Sciences, Vienna.

        ENTIRE BBC GANG
        ROMILA THAPAR
        IRFAN HABIB
        VC OF TISS/ DU/ JU/ JNU
        SOCIAL SCIENCES PROFESSORS OF TISS/ DU/ JU/ JNU



        SPREAD ON SOCIAL MEDIA
    BELOW: THIS BASTARD WHITE JEW COMMIE PROF SAYS HE TEACHES SANSKRIT



    1. https://twitter.com/ashoswai/status/1250417268552372225

      CAPT AJIT VADAKAYIL HAS THIS MESSAGE TO ASHOK SWAIN..

      ALL YOUR FOLLOWERS AND REGULAR READERS HAVE BEEN PROFILED.. SOME OF THEM ARE URBAN NAXALS WITH CASES AGAINST THEM..

      ALL OF THEM DESERVE CONGRATULATIONS.. THEY HAVE ENTERED THE DESH DROHI DATABASE..

      WE HAVE ALSO IDENTIFIED PAKISTANI ISI CYBER CELL USING HINDU NAMES .. PIECE OF CAKE..

      YOUR UNIVERSITY WHO EMPLOYS YOU NOW HAVE A PROFILE ON YOU.. ALL IN GOOD TIME..

      YOUR ANTI-INDIA , ANTI-HINDU TAANDAV IS NOW OVER..

      ANTI-INDIAN FORCES WHO HAVE FUNDED YOU HAVE BEEN CARELESS.

      ASHOK BABY, DONT TRY AND COMPETE AGAINST OR IMPRESS A BLOGGER WHOSE GOOGLE PROFILE VIEW IS 1023 MILLION..

      https://www.blogger.com/profile/14410812789424637654

      capt ajit vadakayil
      ..

    https://twitter.com/pointblanc_9960/status/1250351703091642381

    TELL THIS STUPID WOMAN SABA NAQVI THAT CIPLA IS OWNED BY A JEW..

    YUSUF KHWAJA HAMIED IS A JEW AND MERE FRONT OF JEW ROTHSCHILD WHO RULED INDIA.. CIPLA, INDIA'S OLDEST PHARMACEUTICAL COMPANY IN 1935 WAS OWNED BY JEW ROTHSCHILD..

    CIPLA USED INDIANS AS GUINEA PIGS FOR ANTI-FERTILITY DRUGS ..

    CIPLA IS WORTH 1.7 BILLION USD TODAY.. HIS SON JEW YUSUF HAMIED ( MOTHER LITHUANIAN JEWESS LUBA DERCZANSKA) WAS CHAIRMAN OF CIPLA ..

    YUSUF IS THE ARABIC FORM OF THE HEBREW NAME JOSEPH.


    JEW AFRIDI PRESIDENT ZAKIR HUSAIN WAS SEEN PRAYING OFTEN IN THE SHAAR HASHAMAIM SYNAGOGUE IN THANE

    JEW YUSUF PAID FOR THE RECONSTRUCTION OF THE SYNAGOGUE..

    SALMAN KHURSHID ( WHO SHOWS THAT HE IS A HARDCORE CONGRESSMAN MUSLIM ) IS ZAKIR HUSSAIN’S GRANDSON..

    I HAVE GIVEN DETAILED EXPLANATION WITH PHOTOS IN THE POST BELOW--

    http://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

    CRYPTO JEW AIR SYED AHMAD KHAN , CRYPTO JEW MOHAMMAD ALI JINNAH, CRYPTO JEW ALLAMA IQBAL ( POET ) AND CRYPTO JEW MOHAMMAD ALI JAUHAR ARE RESPONSIBLE FOR WEDGING AWAY PAKISTAN. . .

    AMU WAS FOUNDED IN 1975 BY JEW ROTHSCHILD TO CREATE A BREED OF CRYPTO JEW INTELLECTUALS WHO WOULD LEAD INDIAN MUSLIMS..

    THIS WAS IN CONSONANCE WITH HIS SLOGAN " IF YOU WANT TO CONTROL THE OPPOSITION, LEAD THEM YOURSELF ".

    AMU WAS FOUNDED BY ZIONIST JEW FUNDS . . WAHABBI AND SALAFI FUNDS ARE JEWISH ..

    ALL INITIAL PATRONS OF AMU WERE CRYPTO JEWS .. INCLUDING PATRON FOUNDER JEW SIR SYED AHMAD KHAN WHO WAS AN AGENT OF JEW ROTHSCHILD..

    JEW MOHAMMAD ALI JAUHAR WAS A PATRON OF AMU..

    SABA BABY-- IF CAPT AJIT VADAKAYIL REVEALS YOUR ANCESTRY, MUSLIMS IN INDIA WILL THROW STONES AT YOU.. EASY BABY..

    AZIM PREMJI DOES NOT DO NAMAZ...DONT MAKE ME SAY MORE..

    capt ajit vadakayil
    ..
    1. PUT ABOVE COMMENT IN WEBSITES OF--
      SABA NAQVI
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      PC CHACKO
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      JOHN ABRAHAM
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      DIG VIJAY SINGH
      JULIO RIBEIRO
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      GHULAM NABI AZAD
      ENTIRE BBC GANG
      SWARA BHASKAR
      ALL HINDU STALWARTS AND ORGS
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      JOHN BRITTAS
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      NIVEDITA MENON
      MAJOR WORLD MEDIA

      SPREAD ON SOCIAL MEDIA

































    1. CAPT AJIT VADAKAYIL ASKS ALL FOREIGN TOURISTS..


      BEFORE YOU FLY BACK TO YOUR COUNTRIES, DRINK A TEASPOON OF FRESH HUMPED COW URINE, WITHIN TWO MINUTES OF URINE EJECTION..

      THE URINE OF HUMPED COW CONTAINS GOLD NANO COLLOIDS.. THIS IS 6200 YEAR OLD AYURVEDIC REMEDY – FOR PREVENTION/ DETECTION AND TREATMENT..
      THE SNAKE YOU SEE ON WHO ORG SYMBOL IS AYURVEDA..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      THE WHOLE PLANET IS NOW IN A SEVERE BIND, AS 55% OF COVID-19 CASES ARE ASYMPTOMATIC..

      THERE IS NO PREVENTION OR CURE FOR CORONAVIRUS TODAY.. EVEN IF IT COMES AFTER A FEW MONTHS IT IS JUST A MONEY MAKING PLOY OF KOSHER EVIL PHARMA..

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      GOLD NANO COLLID CAN BE USED TO DETECT ASYMPTOMATIC CASES ( ANTIBODY TESTS ) EVEN TODAY..

      https://statnano.com/news/67563/Antibody-Tests-Based-on-Au-Nanoparticles-Can-Detect-Coronavirus-Even-in-Asymptomatic-Cases

      capt ajit vadakayil
      ..

      1. PUT ABOVE COMMENT IN WEBSITES OF—
        IMA
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRANCE/ GERMANY/ CHINA
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        E SREEDHARAN
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        SRINIVASAN JAIN
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        VIKRAM CHANDRA
        NIDHI RAZDAN
        FAYE DSOUZA
        ZAKKA JACOB
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        PRANNOY JAMES ROY
        AROON PURIE
        VINEET JAIN
        RAGHAV BAHL
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        SATYA NADELLA
        CEO OF WIKIPEDIA
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        CHID BABY
        SWAMY
        RAJIV MALHOTRA
        P GURUS
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        MOHANLAL
        SURESH GOPI
        NALIN KOHLI.
        UDDHAV THACKREY
        RAJ THACKREY
        CHANDAN MITRA
        SADGURU JAGGI VASUDEV
        BABA RAMDEV
        SRI SRI RAVISHANKAR
        CHETAN BHAGAT
        AMISH TRIPATHI
        DEVDUTT PATTANAIK
        THE QUINT
        THE SCROLL
        THE WIRE
        THE PRINT
        MK VENU
        MADHU TREHAN
        SANJAY HEDGE
        SHOBHAA DE
        ARUNDHATI ROY
        MADHU TREHAN
        JAIRAM RAMESH
        SHASHI THAROOR
        KAPIL SIBAL
        ABHI SEX MAANGTHA SINGVI
        TEHSEEN POONAWAALA
        SHEHZAD POONAWALA
        SANJAY JHA
        SURJEWALA
        AK ANTONY
        SONIA GANDHI
        RAHUL GANDHI
        PRIYANKA VADRA
        AK ANTONY
        PC CHACKO
        JEAN DREZE
        DIG VIJAY SINGH
        JULIO RIBEIRO
        ASADDUDIN OWAISI
        SHEHLA RASHID
        RANA AYYUB
        SUHEL SETH
        SHAZIA ILMI
        MANI SHANGARAN AIYERAN
        SALMAN KHURSHEED
        GHULAM NABI AZAD
        ENTIRE BBC GANG
        SWARA BHASKAR
        ALL HINDU STALWARTS AND ORGS
        MAMMOTTY
        DULQER SALMAN
        DHARMAWIKI
        SWAMYs BULLSHIT VIRAATS SENA
        JOHN BRITTAS
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        SHELDON POLLOCK
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        FAZAL GHAFOOR
        ROMILA THAPAR
        IRFAN HABIB
        NIVEDITA MENON
        AYESHA KIDWAI
        MAJOR WORLD MEDIA

        BASTARD KANNUR HINDU BYJU ( WHO DOES NOTHING FOR THE WATAN-- HE ONLY FILLS HIS POCKETS.. VADAKAYIL CAN BRING HIS EMPIRE DOWN-- WARN HIM. )

        SPREAD ON SOCIAL MEDIA




    1. Dear Captain,

      This is the first time I am seeing the entire Indian system resonding knee jerk to your suggestions on covid 19.Example
      1.Supreme Court modifies order on free test of covid 19.
      2. Govt to carry covid 19 tests in cold spots for asymptomatic carriers.
      3. Wearing masks, etc etc and many more.

      The entire machinery is simply waiting for your comments and implementing it super fast. You are now the captain of India and the entire system is awaiting your order on what's next to be done.

      We will surely beat this f*****g virus.
      1. ONLY ONE MAN ON THIS PLANET HAD THE WHEREWITHAL TO RUB JEWESS GRETA THUNBERGs FACE IN THE KEECHAD..

        http://ajitvadakayil.blogspot.com/2019/10/greta-thunberg-puppet-of-jewish-deep.html

        ONLY ONE MAN ON THIS PLANET HAD THE CEREBRAL WHEREWITHAL TO DECLARE THAT KARL MARX IS THIS PLANETs GREATEST CUNT-- NOT THE GREATEST THINKER..

        http://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx.html

        I CAN GIVE MORE THAN 200 SUCH EXAMPLES.

        capt ajit vadakayil
        ..



    https://timesofindia.indiatimes.com/city/kozhikode/homemakers-hone-their-english-cms-fund-gets-a-windfall/articleshow/75114850.cms

    SALT MANGO TREE IS WHAT TEACHER MOHANLAL TOLD FOR UPPUMAVE ( UPPU/ SALT + MAVU / MANGO TREE )

    https://en.wikipedia.org/wiki/Gandhinagar_2nd_Street

    https://www.youtube.com/watch?v=Hba0LN5xWWQ





    BELOW:  FOOLING THE MUSLIM PEOPLE WITH HYPERVENTILATION .. 

    THE RESULT IS NOT "ALLAH EFFECT"  , IT IS CONMAN EFFECT..



    THIS POST IS NOW CONTINUED TO PART 5, BELOW--

    https://ajitvadakayil.blogspot.com/2020/04/who-is-captain-ajit-vadakayil-part-5.html



    CAPT AJIT VADAKAYIL
    ..

    WHO IS CAPTAIN AJIT VADAKAYIL? Part 5

    $
    0
    0


    THIS POST IS CONTINUED FROM PART 4, BELOW--





    SOMEBODY ASKED ME..

    CAPTAIN..

    AAA- WHEN DID THE DESECRATION OF KODUNGALLUR DEVI TEMPLE START , WITH TAMIL DALITS BEING IMPORTED TO THROW MENSES BLOOD MIXED WITH SEMEN AND SHIT INTO THE SANCTUM, WHERE ANCIENT GREEK SCOLARS RECEIVED THEIR PASSING OUT CONVOCATION OF “TAT TAWM ASI”?..

    BBB- HOW DID THIS THING ABOUT THIYYAS ( PAST RULERS/ WARRIORS/ NAVIGATORS/ TRADERS / SKILLED WORKERS ) AGREEING TO JOIN POLITICAL SNDP PARTY AND THUS BE CLUBBED ALONG WITH SHUDRA EZHAVAS IN ONE BUCKET COME ABOUT? IMAGINE MAHABAL WAS A THIYYA 12,000 YEARS AGO…

    https://ajitvadakayil.blogspot.com/2020/05/thiyyas-of-kerala-are-not-ezhavas-capt.html

    LISTEN-.

    THIS WAS DONE BY JEW ROTHSCHILD AS SOON AS HE SHOVED OFF THE HINDU THIYYA CALICUT KINGS AND REPLACED THEM WITH CRYPTO JEW VARMA KINGS..

    THE JEW VARMA KING ACTUALLY INAUGURATED THE DESECRATION BY ARRIVING ON A PALANQUIN. ..

    THIS RITUAL OF THE ANNUAL DESECRATION TAMIL SHUDRA PARTY AWAITING FOR THE JEW VARMA KING TO ARRIVE AND INAUGURATE THE DESECRATION STILL WENT ON LAST YEAR—

    http://ajitvadakayil.blogspot.com/2013/03/kodungallur-bharani-festival-capt-ajit.html

    THIS DESPITE CAPT AJIT VADAKAYIL COMPLAINING TO ATHEIST COMMIE CM PINARAYI VIJAYAN AND PREVIOUS CHRISTIAN CM OOMMEN CHANDY— COPIED TO PM ..

    IMAGINE, WHEN VASO DA GAMA ARRIVED IN CALICUT IN 1498 AD, THE THIYYA KING ZAMORIN HAD GONE TO GURUVAYUR ON PILGRIMAGE , ON ELEPHANT BACK WITH THE ENTOURAGE.. .

    THE ANNUAL CEREMONY INVOLVED CONFIRMING THAT THE TEMPLE IDOL ( BELONGED TO KRISHNAs FATHER AND BROUGHT TO GURUVAYUR BY ARJUNA BEFORE DWARAKA SANK INTO THE SEA 6000 YEARS AGO) WOULD LEVITATE AND WAS ORIGINAL , NOT STOLEN AND REPLACED BY A DUPLCATE..

    WHEN JEW TIPU SULTAN TRIED TO STEAL THIS IDOL, THE IDOL WAS UPROOTED AND HIDDEN IN A TEMPLE IN SOUTH KERALA .. AFTER THE IDOL WAS RE-INSTALLED BACK AT GURUVAYUR IT WOULD NOT LEVITATE AGAIN.

    THE CRYPTO JEW VARMA KING THEN BANNED ALL THIYYAS FROM ENTERING GURUVAYUR TEMPLE.. IMAGIVE KRISHNA AND HIS FATHER VASUDEVA WERE OF THE KERALA THIYYA YADUVA CLAN ..

    SORRY BHAIYYA LALU PRASAD YADAV— SORRY HALWAI MULAYAM SINGH YADAY..

    http://ajitvadakayil.blogspot.com/2019/09/onam-our-only-link-to-planets-oldest.html

    TO GIVE POWER TO HIS EZHAVE STOOGE SRI NARAYANA GURU JEW ROTHSCHILD CREATED THE “ONE MAN ONE CASTE “ ( ORU JAATHI ORU MATHAM ) MOVEMENT AND THEN ALLOWED THIYYAS TO ENTER GURUVAYUR TEMPLE AGAIN..

    THIS GALVANZED THE GRATEFUL THIYYAS INTO HOLDING HAND WITH EZHAVAS.. ROTHSCHILD COULD NOW PUT THIYYA AND EZHAVAS INTO ONE BUCKET..

    http://ajitvadakayil.blogspot.com/2019/06/guruvayur-temple-idol-carved-out-of.html

    SEE ROTHSCHILD PLANNED CENTURIES IN ADVANCE.. THIS WAS THE PERFECT HEGELIAN DIALECTIC OF ROTHSCHILD..

    http://ajitvadakayil.blogspot.com/2014/10/hegelian-dialectic-cancer-on-this.html

    JEWESS HELENA WHO COOKED UP JESUS IN 325 AD, DID THE FIRST HEGELIAN DIALECTIC..

    http://ajitvadakayil.blogspot.com/2018/12/helena-mother-of-roman-emperor.html

    http://ajitvadakayil.blogspot.com/2019/09/istanbul-deep-seat-of-jewish-deep-state.html

    MY REVELATIONS NOW JUMP TO 60.38%..

    I HAD ACTUALLY KEPT THIS REVELATION FOR THE 98% SEGMENT WHERE MY REVELATIONS WOULD CAUSE THE ENTIRE BALLS AND TWATS OF THIS PLANET GO TRRRRR BRRRR PRRRRR.

    SO SO SO—

    NOW

    I ASK MY READERS

    WHOSE DIALECTIC WAS MORE CUNNING – HELENA BABYs OR ROTHSCHILD BABYs?

    CONTINUED TO 2--
    1. CONTINUED FROM 1--

      JEWESS HELENA CREATED A FALSE TRADITION, THAT FROM DEC 18 TH TO DEC 24TH DURING THE FESTIVAL OF SATURNALIA, A REVERSAL OF ROLES IS ALLOWED WHERE SLAVES COULD DO ANYTHING WITHOUT BEING PUNISHED..

      THESE SLAVES WERE PROMISED FREEDOM AND MONEY TO START A NEW LIFE IF THEY COULD INSULT THE 500 HINDU THIYYA ROMAN SENATORS AND THROW SHIT MIXED WITH SEMEN AND MENSES BLOOD INTO THEIR SENATE ALTAR..

      UNABLE TO BEAR THIS INSULT THE ROMAN SENATE , AN INTELLECTUAL KERALA THIYYA BUNCH , WHO WERE DARLINGS OF THE ROMAN PEOPLE, DISBANDED THEMSELVES.. THEIR GLORIOUS HISTORY SUCKED ITSELF INTO A BLACK HOLE..

      THESE KERALA THIYYA SENATORS ( ETRUSCANS ) FLED FROM ITALY AND SOUGHT REFUGE WITH THE CALICUT KING.. THIS WAS THE END OF THE GLORY OF ROME RUN BY KERALA HINDU THIYYAS ..

      THE CAPITAL NOW SHIFTED FROM ROME TO CONSTANTINOPLE RUN BY USELESS JEW EMPERORS AND STIPID JEW SENATORS..

      http://ajitvadakayil.blogspot.com/2019/08/secrets-of-roman-pantheon-inaugurated.html

      I AM AN ETRUSCAN.

      IF THIS IS NOT WORLD INTRIGUE—WHAT ELSE IS?

      ONLY ONE MAN ON THIS PLANET CAN UNEARTH DEEP STATE INTRIGUE—VADAKAYIL— KHUDD VADAKAYIL..

      AND IF YOU DID NOT SHIT INTO YOUR LANGOT OR THONGS ( AS THE CASE MAY BE ) AFTER READING THIS COMMENT—YOU HAVE NOT UNDERSTOOD IT..

      Capt ajit vadakayil
      ..

    2. PUT ABOVE COMMENT IN WEBSITES OF-
      POPE
      CM PINARAYI VIJAYAN
      OOMMEN CHANDY
      ALL KERALA COLLECTORS
      THIYYA MAHASABHA GENERAL SECRETARY P V LAKSHMANAN.
      SNDP YOGAM GENERAL SECRETARY VELLAPALLY NATESAN
      THIYYA MAHASABHA PRESIDENT U K JAYARAJAN,
      KALATHIL RAMAKRISHNAN
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      EDITOR GLOBAL TIMES HU XIJIN
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      ENTIRE BBC GANG
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      ALL HINDU STALWARTS AND ORGS
      MAMMOTTY
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      FAZAL GHAFOOR
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      RAHUL GANDHI
      PRIYANKA VADRA
      SOLI BABY
      FALI BABY
      KATJU BABY
      SALVE BABY
      JOHN BRITTAS
      PRAKASH KARAT
      BRINDA KARAT
      SITARAM YECHURY
      D RAJA
      ALEX JONES
      RENSE
      DAVID ICKE
      ANGELO JOHN GAGE
      DR SANJAY GUPTA
      DEEPAK CHOPRA
      ROBIN SHARMA
      ASHOK SWAIN
      RAZIMAN TV
      PRINCESS HEND AL QASSIMI
      ARFA KHANUM
      SABA NAQVI
      TEESTA SETALVAD
      KAVITA KRISHNAN
      ANURAG KASHYAP
      ANAND PATWARDHAN
      PRASHANT BHUSHAN
      YOGENDRA YADAV
      JIGNESH MEVANI
      ROBERT VADRA
      HAMID ANSARI
      PAAGALIKA GHOSE
      KANNAN GOPINATHAN
      RAVISH KUMAR
      DIPANKAR BHATTACHARYA
      SHAHID SIDDIQUE
      TAREK FATEH
      CEDRIC PERIERA
      JOHN DAYAL
      KANCHA ILIAH
      ASIN ACTRESS
      ALL INDIAN MEDIA
      SPREAD ON SOCIAL MEDIA--

    SOMEBODY CALLED ME UP AND CRIED..

    CAPTAIN..

    WHAT IS THIS LATEST DRAMA ABOUT ITALIAN MAINO JEW RAHUL GANDHI HAVING INTERVIEWS WITH RAGHURAM RAJAN AND ABHIJEET BANNERJEE ON TV ?..

    LISTEN..

    IT IS ALL ABOUT SHOWCASING THAT PEA BRAINED RAHUL GANDHI IS A GREAT THINKER..

    ONE OF INDIA SHARPEST MINDS RAM JETHMALANI HAD SAID FAMOUSLY THAT HE WONT EMPLOY IDIOT RAHUL GANDHI AS A CLERK IN HIS OFFICE..

    https://www.youtube.com/watch?v=FnhmD02fGBo

    THAT SAYS IT ALL..

    NOW ABOUT RAGHURAM RAJAN AND ABHIJEET BANNERJEE...

    I AM READING UP THEIR BOOKS AND UTTERANCES ON YOUTUBE VIDEO ..

    I WILL SOON PEN A POST ABOUT THESE TWO PEA BRAINED MEN WHO ARE BEING TOUTED AS WORLD CLASS INTELLECTUALS BY THE JEWISH DEEP STATE..

    SO SO SO..

    WHAT IS THE QUALIFICATION OF CAPT AJIT VADAKAYIL TO WRITE ABOUT SUCH WORLD CLASS INTELLECTUALS AS TOUTED BY JEW ROTHSCHILDs MEDIA?..

    FOR STARTERS VADAKAYIL IS THIS PLANETs NO 1 WRITER, WITH A GOOGLE PROFILE VIEW OF 1023 MILLION..

    https://www.blogger.com/profile/14410812789424637654

    VADAKAYIL HAS BECOME THIS PLANETs NO 1 WRITER BECAUSE OF HIS PERCEPTION/ CEREBRAL WHEREWITHAL TO POINT OUT TO THE " KOSHER ELEPHANT IN THE ROOM " -- AND COURAGE OF CONVICTIONS TO HOLLER " THE EMPEROR AINT WEARING CLOTHES"..

    VADAKAYIL HAS TORN ASUNDER THE KOSHER ASS OF THIS PLANETs GREATEST THINKER KARL MARX AND THIS PLANET MOST INTELLIGENT WORK DAS KAPITAL..

    MAD MARX TOOK MORE THAN 3000 PAGES TO WRITE DAS KAPITAL OVER SEVERAL DECADES..

    VADAKAYIL TOOK JUST A COUPLE OF DAYS TO PULVERIZE DAS KAPITAL BY USING MORE THAN 3000 PAGES..

    IF RAGHURAM RAJAN OR AMARTA SEN OR ABHIIJEET BANNERJEE OR ANY OTHER GREAT ECONOMIST OR THINKER OF THIS PLANET HAS THE BRAINS TO EVEN UNDERSTAND WHAT VADAKAYIL HAS WRITTEN IN HIS NINE PART BLOG POST BELOW, THEY MUST VOLUNTEER TO ENGAGE VADAKAYIL IN A LIVE DEBATE ON TV, SO THAT I CAN TEAR THEIR INTELLECTUAL ASSES ASUNDER ..

    READ ALL 9 PARTS BELOW—( TREAD SOFTY LEST YOU OVERHEAT YOUR BRAIN )

    https://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx_27.html

    THESE ARE JUST NINE POSTS AMONG 1635 POSTS ON EVERY SUBJECT ON THIS PLANET..

    I AM NOT A FROG IN THE ECONOMIC WELL LIKE AMARTYA SEN/ RAGHURAM RAJAN/ ABHIJEET BANNERJEE OR ANY OTHER INTELLECTUAL ON THIS PLANET..

    I HAVE SEEN THIS PLANET FOR 40 YEARS .. I AM THE CONDOR WHO EATS UP THESE SPONSORED COMPROMISED FROGS..

    I KNOW THAT THIS PLANET LIVES A KOSHER LIE..

    GOOGLE HAS SUNK MY BLOGPOSTS USING ALGORITHMS..

    FACEBOOK/ TWITTER/ QUORA ETC HAS BANNED THE WORD " VADAKAYIL"..

    WIKIPEDIA WONT GIVE VADAKAYIL A PAGE.. THOUGH ALL SLUTS GET ONE..

    I ASK ANY WORLD CLASS ECONOMIST ON THIS PLANET TO READ AND UNDERSTAND MY QUESTIONS TO QUORA No 686 TO No 820 IN THE POST BELOW--

    http://ajitvadakayil.blogspot.com/2019/06/archived-questions-to-quora-from-capt.html

    FOR THE UNINITIATED .. TO FIND OUT FURTHER WHO VADAKAYIL IS..

    READ ALL 5 PARTS OF THE POT BELOW--

    https://ajitvadakayil.blogspot.com/2020/04/who-is-captain-ajit-vadakayil-here-are.html

    VADAKAYIL STARTED BLOGGING A DECADE AGO, ONLY TO STOP THE BLEEDING FROM A THOUSAND CUTS INFLICTED OF MOTHER INDIAs AND TO HEAL THE PUS LADEN FESTERING WOUNDS OVER 800 YEARS OF SLAVERY..

    CUTS INFLICTED BY INDIAN TRAITORS LIKE AMARTYA SEN/ RAGHURAM RAJAN/ ABHIJEET BANNERJEE..

    HIMMAT HAI TOH , TRY AND STOP ME.. GAAND MEIN TATI HAI TOH KARKE DEKH..YOU CHOOTS..

    capt ajit vadakayil
    ..
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    SOMEBODY CALLED ME UP AND CRIED..

    CAPTAIN

    YOU HAD WRITTEN THAT YOUR ELDER SON GOT INTO CORNELL COMPUTER SCIENCE STRAIN ,BECAUSE OF A RECOMMENDATION LETTER FROM HIS UNDER GRADUATE PROFESSOR..

    WHAT WAS IT?

    THE LETTER HAD ONLY ONE SINGLE LINE " THIS BOY HAS THE SEEDS OF THE FUTURE WITHIN HIM "..

    ALL UNIVERSITIES ASK FOR THREE RECOMMENDATION LETTERS .. THESE LETTERS ARE USUALLY LONG--"HES IS LIKE THIS.. HE IS LIKE THAT--BLAH BLAH " ..

    THIS LETTER WAS EXPECTED TO BE AROUND 400 WORDS LONG ON UNIVERSITY LETTERHEAD WITH STAMP.. AS PER CORNELL REQUIREMENT..

    BUT A SINGLE LINE LETTER CATCHES INSTANT ATTENTION.. IT IS TOO POWERFUL TO BE IGNORED.. HIS PROFESSOR IGNORED THE 400 WORD REQUIREMENT..

    https://www.mcgill.ca/caps/students/gradschool/references

    MY SON WAS 8 YEARS OLD WHEN HE ASKED ME ABOUT THE HOLE IN THE CENTRE OF THE CIRCULAR RAT GUARD..

    http://ajitvadakayil.blogspot.com/2011/01/snow-shovelling-and-backache-capt-ajit.html

    I ASKED MY WIFE THE SAME DAY " IS CENTRE OF GRAVITY IN HIS NCERT SCHOOL SYLLABUS IN PHYSICS"..

    SHE SAID "NO".

    THAT WAS THE MOMENT I DECIDED "MY SON WONT JOIN THE SEA"..

    HE WILL FALL INTO TROUBLE WITH HIS SUPERIORS.. THE WAY PAPA VADAKAYIL GOT INTO TROUBLE FOR FULL 40 YEARS AT SEA..

    I AM A HARDCORE.. BOTH MY SONS ARE SENSITIVE AND SOFT ( MY WIFEs DNA ) .. BOTH ARE STRONG TO FUCK MEN TWICE THEIR SIZE..

    I WILL GIVE AN EXAMPLE OF MYSELF-- FROM MORE THAN THOUSAND SUCH CASES...

    http://ajitvadakayil.blogspot.com/2011/01/naive-sailor-streaming-ships-log-walker.html

    THE OLD CAPTAIN EXAMINER OF DG SHIPPING COULD HAVE KICKED ME OUT.. HE DID NOT.. HE HAD NO EGO HASSLES..

    IN 1973 AFTER MY PRINCIPLES OF NAVIGATION CLASS , I APPROACHED THE LECTURER ( CAPTAIN SK PURI ) IN A PRIVATE PLACE ON DECK.. I WAS JUST A 16 YEAR OLD BOY.

    I TOLD HIM, THIS PLANET HAS MOVED FROM GHA ARIES TO GHA PISCES..

    HE HISSED AT ME FOR BEING ARROGANT.. HE ASKED ME “ALL NAVIGATION TEXTS WRITTEN IN BRITAIN ARE WRONG? YOU ARE THE WISE GUY ?? ”

    HE NEVER FORGOT OR FORGAVE --

    IN MY SENIOR FORM , SK PURI FAILED ME IN STAR REC TICK AND SAILING TICK..

    HE KEPT GIVING ME NEGATIVE MARKS FOR OLQ ( OFFICER LIKE QUALITIES ). I HAD TO REPORT FOR COH ( COURT OF HONOR ) WHICH MEANT I LOST MY SHORE LEAVES OFTEN..

    WE IN STARBOARD FORE , WERE SAILING CHAMPS IN BOTH YEARS -- AND I WAS IN CHARGE OF THE BOW SAIL .. NEVER MISSES A TACK OR A GYBE..

    HECK-- I DID NOT EVEN GET SPORTS TICK THOUGH I WAS PART OF THE PLAYING SHIP SOCCER TEAM ( NEVER ON BENCH – AS I WAS GOAL KEEPER ) , IN BOTH YEARS -- AND PART OF THE STARBOARD FORE CHAMPION SOCCER TEAM IN BOTH YEARS

    AND FOR FINAL PASSING OUT --

    I GOT AN EXTRA FIRST IN EVERY SUBJECT -- BUT FAILED IN OLQ

    CAPT SK PURI’S SUPERIOR OFFICER CAPTS KRIPS UPGRADED ME TO GRACED TO FIRST -- THAT IS WHAT IS WRITTEN ON MY RFPO CERTIFICATE

    I WAS LUCKY AS I WENT TO KRIPS FOR MY FINAL ORALS BEFORE PASSING OUT.. HE WAS MAHAA IMPRESSED.. I GAVE ANSWERS FAR BEYOND HIS EXPECTATIONS..

    THIS SEVERE LESSON ADMINISTERED BY SK PURI WAS NEVER LOST ON ME..

    THIS ANGREZ KA AULAD PNJAAABI PUTTAR GOT TERRIBLY ANGRY WITH ME FOR SUGGESTING THAT THE WHITE MAN LEARNT ASTRONOMY FROM INDIANS..

    BUT I DID NOT CARE.. I NEVER SHIED AWAY FROM TELLING “ THE SUN RISES IN THE FUCKIN’ EAST, NOT THE WEST”..

    IN A WAY THIS ILL TREATMENT MADE MEWHO I AM..  FORGED IN FIRE..

    NOW WHAT IS THE ARIES / PISCES SHIT?

    I EXPLAIN THE BIBLE ---TAURUS- ARIES- PISCES- AQUARIUS- IN THE POST BELOW—

    THE AGE FROM 2150 BC IS ARIES, ( INDIAN MEDAM / HAMAL )) THE RAM TILL 1 AD.

    FROM 1 AD TO 2150 AD IT IS THE AGE OF PISCES ( INDIAN MENAM ) .


    http://ajitvadakayil.blogspot.com/2019/08/secrets-of-roman-pantheon-inaugurated.html

    CONTINUED TO 2--
    1. CONTINUED FROM 1--


      "SEEDS OF THE FUTURE" ???

      IT MEANS " CAN THINK CLEARLY FOR HIMSELF. HE WONT BOW TO PRECEDENT"..

      http://ajitvadakayil.blogspot.com/2010/11/my-son-at-cornell-university-capt-ajit_25.html

      I STILL CARRY THE MENTAL SCARS INFLICTED ON ME BY SK PURI FOR TWO LONG YEARS .. I DID NOT WANT MY SON TO GO THROUGH THIS..

      THE SEA IS A STUPID PLACE..

      BELOW I TEACH MY SHORE BOSSES AS IF I TEACH RETARDED CHILDREN.. AND THIS IS ABOUT HUMAN LIVES.. EVEN THEN THECUNTS COULD NOT UNDERSTAND..

      YOU WILL SHIT IN YOUR PANTS WHEN YOU REALIZE HOW THOUSANDS OF SAILORS DIED BECAUSE OF CUNTS IN IMO..

      I DID NOT WANT MY SON TO BE PART OF THIS HELL..

      http://ajitvadakayil.blogspot.com/2011/07/enclosed-lifeboat-accidents-and-imo.html

      http://ajitvadakayil.blogspot.com/2011/01/single-hook-for-enclosed-lifeboats-capt.html

      http://ajitvadakayil.blogspot.com/2011/01/naive-sailor-sinking-ships-capt-ajit.html

      IT IS DIFFICULT FOR A CHAMPTION HORSE TO PRETEND TO BE A DONKEY..
      I WAS THE QUINTESSENTIAL HORSE WHO REFUSED TO BRAY

      http://ajitvadakayil.blogspot.com/2010/11/old-sea-dog-capt-ajit-vadakayil.html

      capt ajit vadakayil
      ..

    BELOW: SPOT THE JEWESS WITH A MUSLIM NAME


    MY READERS KNOW THAT IT WAS CAPT AJIT VADAKAYIL WHO WARNED THE PLANET ABOUT HOSTILE CHINESE TAKEOVER USING BRUTE FORCE OF CASH DURING/ AFTER THE PANDEMIC.
    .
    I GAVE THE EXAMPLE OF MOTH BALLED SHIPS IN 1985, WHERE CHINA BOUGHT THE BEST SHIPS ON THE PLANET FOR A SONG

    NOW THIS IDEA HAS BEEN PATENTED BY OTHERS , AS THEIR OWN BRAINWAVE

    LIKE WHAT HAPPENED WITH MY ADVISE TO MODI ABOUT “QUICK WIN” SWACHCH BHARAT

    THERE ARE MORE THAN 300 SUCH EXAMPLES

    capt ajit vadakayil
    ..

    1. WARNING: THE FUTURE OF THIS PLANET DEPENDS ON THIS CRITICAL MESSAGE

      #######################################

      ALL AIRCRAFT ON THIS PLANET FROM NOW ON MUST HAVE APPROVED HEPA NANO FILTERS FOR INTERNAL AIR RECIRC .

      PLANES MUST HAVE IONIZING HUMIDIFIER ( NEGATIVE IONS KILL VIRUS ) FOR INCREASING HUMIDITY INSIDE AIRCRAFT TO CONTROL COVID-19 VIRUS..

      THE LICENCE OF ALL PLANES MUST BE BASED ON INSTALLATION OF CABIN AIR CHECK INSTRUMENT FOR CORONAVIRUS ..

      THERE MUST BE PERMANENTLY INSTALLED AIR QUALITY DETECTORS FOR CORONAVIRUS WITH UNDELETABE ELECTRONIC MEMORY AND A PAPER GRAPH..

      THE PRINCIPLE OF THE SENSOR MUST BE BASED ON GOLD NANO COLLIDS..

      THE RESULTS MUST BE RECORDED GY HAND ( WITH PILOT SIGNATURE ) IN A "CABIN AIR RECORD BOOK".. IF THIS BOOK IS NOT UPTODATE THERE MUST BE HEAVY FINES TO THE COMPANY , WITH IMPRISONMENT OF PILOT.

      BASED ON GOLD NANO COLLOIDS , ON A GLASS SUBSTRATE, THE BIOSENSOR MUST ARTIFICIALLY PRODUCED DNA RECEPTOR SEQUENCES THAT ARE COMPLIMENTARY TO SECTIONS OF THE COVID-19 VIRUS’ RNA GENOME.

      THESE UNIQUE SEQUENCES CAN BE GRAFTED ONTO THE GOLD NANOISLANDS AND RELIABLY DETECT CORONAVIRUS/SARS-COV-2.

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      LOCALISED SURFACE PLASMON RESONANCE (LSPR) IS AN OPTICAL PHENOMENON THAT OCCURS IN GOLD NANOSTRUCTURES: WHEN EXCITED, THE NANOISLANDS ALTER THE INCIDENT LIGHT TO A SPECIFIC WAVELENGTH, CREATING A PLASMONIC NEAR-FIELD AROUND THE NANOSTRUCTURE.

      WHEN MOLECULES BIND TO THE SURFACE OF THE BIOSENSOR, THE LOCAL REFRACTIVE INDEX WITHIN THE PLASMONIC NEAR-FIELD CHANGES .

      AN OPTICAL SENSOR LOCATED ON THE BACK MEASURES THIS CHANGE AND DETERMINES WHETHER THE SAMPLE CONTAINS THE RNA STRANDS AND THEREFORE THE COVID-19 VIRUS..

      WHILE ONLY THE RNA STRANDS OF SARS-COV-2 EXACTLY MATCH THE DNA STRANDS ON THE SENSOR, DEPENDENT ON THE AMBIENT TEMPERATURE RNA STRANDS THAT ARE NOT COMPLIMENTARY CAN BIND TO THE SEQUENCES, GIVING FALSE READINGS.

      TO COMBAT THIS THE COVID-19 BIOSENSOR MUST USE PLASMONIC PHOTOTHERMAL (PPT) EFFECT TO INCREASE ACCURACY: BY HEATING THE NANOSTRUCTURES WITH A LASER OF A CERTAIN WAVELENGTH TO CREATE THE CORRECT HEAT TO ENSURE ONLY FULLY COMPLIMENTARY STRANDS BIND.

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      I HAD WRITTEN ABOUT GOLD NANO COLLOIDS FOR DETECTION/ TREATMENT ( 2 YEARS AGO ) FOR NIPA-VIRUS.. THIS IS ON RECORD..

      COVID--19 COULD HAVE BEEN ISOLATED AT WUHAN.. IF I WERE THEWHO CHIEF I WOULD HAVE GIVEN INSTANT INSTRUCTIONS TO MODIFY AIRCRAFT HEPA AIR RECIRC FILTERS..

      WHO/ CDC IS CONTROLLED BY KOSHER EVIL PHARMA..

      capt ajit vadakayil
      ..

    1. I AM PENNING MY 1625 BLOG POST

      I HAVE BEEN PENNING ONE POST EVERY TWO DAYS.. ON AN AVERAGE..

      IN MY FIRST TWO YEARS --I WAS MOSTLY AT SEA..

      MORE POWER TO MY TWO FORE FINGERS..

      MANY PEOPLE REFUSE TO BELIEVE THAT THIS HUMONGOUS AMOUNT OF WORK IS DONE BY ONE SINGLE MAN.. THEY CRY AT LEAST 20 PEOPLE MUST BE DOING IT..

      ORIGINAL THINKING IS THE MOST DIFFICULT JOB , RIGHT?

      LAKHS OF PAGES.. LAKHS OF INSTANT ANSWERS TO QUERIES FROM READERS.

      THE WIDEST RANGE OF SUBJECTS EVER IMAGINED BY A HUMAN..

      MORE THAN 20,000 ORIGINAL REVELATIONS ..AND I HAVE NOT EVEN STARTED..

      MORE THAN 500 CRITICAL SUGGESTIONS FOR BHARATMATAs SURVIVAL..

      ABOVE CANNOT BE SURPASSED TILL THE SUN GOES SUPERNOVA..

      AGAIN I ASK MY READERS -- WHICH WAS MY MOST IMPORTANT POST..

      SINGLE IT OUT.. LAST TIME ALL WERE QUIET ( SAAMP SOONG GAYA THA ) AND IT PISSED ME OFF.

      capt ajit vadakayil
      ..
    1. https://ajitvadakayil.blogspot.com/2020/04/the-kosher-art-of-money-laundering-part_21.html

      SOMEBODY CALLED ME UP AND CRIED

      CAPTAIN

      WHY WERE YOU SO VEHEMENT AGAINST PARIS COP 21 AND SO UPSET WITH GRTA THUNBERG?

      WHEN ANGELA MERKEL TWISTED PUTIN’S ARM AND MADE HIM SIGN PARIS COP21, YOU DELETED THE POST YOU WROTE PRAISING PUTIN..

      YOU HAD EVEN GIVEN PUTIN THE VADAKAYIL PRIZE, WHICH IS THE MOST VALUABLE AWARD ON THIS PLANET.

      CAPTAIN, I KNOW YOU PLAN TO REVEAL THIS IN YOUR 98% SEGMENT.. YOU ARE NOW AT 60&% REVELATION, AND WE ARE A BIT PANICKY.. PLEASE REVEAL A WEE BIT, CHAATNE KE VAASTE..

      LISTEN

      CREATING THE EU AND EURO WERE ALL PRECURSORS. ROTHSCHILD ALWAYS PLANNED CENTURIES IN ADVANCE – TO MAKE MONEY OUT OF THIN AIR..
      CARBON TRADING/ CAP & TRADE/ OFFET ETC WAS A SINISTER AND CLANDESTINE WAY FOR JEWS TO MAKE MONEY OUT OF THIN AIR AND MORE IMPORTANTLY AN INSTRUMENT FOR MASSIVE MONEY LAUNDERING ON A GLOBAL SCALE..

      INDIA HAS THE LOWEST CARBON EMISSIONS PER CAPITA ON THIS PLANET —WE HAVE 1350 MILLION PEOPLE.

      CARBON DIOXIDE IS A GOOD LIFE SAVING GAS.. INDIA HAS THE MOST ABUNDANT COAL RESERVED ON THIS PLANET..NEVER MIND WHAT WHITE SKINNED EXPERTS SAY..

      WE HAD NASA GIVING ALMIGHTY BULL THAT THEY CAN FIND OUT VIA THEIR SATELLITES WHO MUCH CARBON-DIOXIDE INDIAN COAL PLANETS EMITTED, TILL A TECHNICAL MINDED CAPT AJIT VADAKAYIL DID A MIGHTY BRRAAAYYYY AND TOLD THEM TO FUCK OFF ..

      CARBON EMISSIONS TRADING IS A FORM OF EMISSIONS TRADING THAT SPECIFICALLY TARGETS CARBON DIOXIDE (CALCULATED IN TONNES OF CARBON DIOXIDE EQUIVALENT OR TCO2) AND IT CONSTITUTES THE BULK OF EMISSIONS TRADING.

      THERE IS NO INSURANCE, AIRFREIGHT, ROAD FREIGHT, OR MULTIPLE BANK ACCOUNTS NEEDED IN THIS CARBON TRADE MARKET.

      ILLEGITIMATE TRANSACTIONS CAN BE CONDUCTED FROM A KOSHER LAP TOP.

      THERE IS NO NEED TO DELIVER GOODS, NO INVENTORIES IN WAREHOUSES, NO SHIPPING DOCUMENTS TO ISSUE, OR RELEASES TO DRAFT.

      THIS IS CLASSIC JEWISH MONEY MAKING OUT OF THIN AIR.. THERE IS NO LEGALLY AGREED DEFINITION AS TO WHAT “CARBON” IS OR HOW IT SHOULD BE ACCOUNTED FOR.

      DELIBERATE GREY AREAS AND KOSHER SHADOW SECTORS RULE..
      .
      THE LACK OF DEFINITION IS NOT SIMPLY A LEGAL OR ACCOUNTING QUIRK, SINCE IT HAS SIGNIFICANT EFFECTS ON WHAT REGULATIONS APPLY TO THE TRADING OF CARBON.

      THE LEVELS OF REGULATION VARY ACCORDING TO HOW THE CARBON IS TRADED – ALTHOUGH NONE ARE TIGHT. THE MAJORITY OF EUAS ARE TRADED AS “DERIVATIVES”, WHICH MEANS CONTRACTS ARE EXCHANGED CORRESPONDING TO THE FUTURE “ KOSHER MANN MANDIR “ VALUE OF ALLOWANCES.

      THE TRADE IN CONTRACTS DERIVING FROM THESE ALLOWANCES IS COVERED BY MIFID (THE EUROPEAN REGULATORY FRAMEWORK FOR FINANCIAL SERVICES MARKETS), SO LONG AS IT INVOLVES JEWISH BANKS AND SPECIALIST JEWISH TRADING FIRMS.

      CARBON MARKETS ARE PARTICULARLY PRONE TO FRAUD AND GAMING BECAUSE THEY CREATE A LARGE TRADE IN INTANGIBLE AND HARD-TO FUCKIN’ MEASURE ASSETS.

      CARBON ALLOWANCES ARE PAPER OR ON-SCREEN PERMISSION SLIPS THAT CAN QUICKLY CHANGE HANDS. IN THIS SENSE, EMISSIONS TRADING “STREAMLINES THE FRAUDSTER’S PROFESSION” - A MATTER THAT WENT DELIBEATELY UNCONSIDERED WHEN THE MARKET WAS SET UP..

      THE CARBON MARKET WILL CONTINUE TO BE PRONE TO ARBITRARY VOLATILITY BECAUSE THE UNDERLYING ASSET IS FUNDAMENTALLY UNSTABLE: THERE IS NO CLEARLY IDENTIFIABLE COMMODITY BEING TRADED, BUT MERELY AN ASSEMBLAGE OF INCOMMENSURABLE ACTIVITIES RE-PACKAGED TO FORM A TRADEABLE COMMODITY.

      THIS IS HOW JEW ROTHSCHILD MADE/ LAUNDERED MONEY WITH TULIPS..

      THE SUPPLY OF CARBON IS “UNIQUELY AT THE MERCY OF THE JEWISH DEEP STATE PEN – WHERE IT WAS CONCEIVED.. THE ACT OF ALLOCATING PERMITS (OR DETERMINING QUANTITIES AVAILABLE FOR AUCTIONING) IS THE RESULT OF A KOSHER POLITICAL DECISION, RATHER THAN SOMETHING THAT IS INDEXED TO A REAL-WORLD PRODUCT.

      THE COMBINATION OF THIS FACTOR WITH THE DIFFICULTY OF IDENTIFYING CLEAR PRICE DRIVERS MAKES FOR ARBITRARY VOLATILITY..


      CONTINUED TO 2--
      1. CONTINUED FROM 1--

        CHILDLESS JEW MACRON AND JEWESS ANGELA MERKEL— ALL PLAYED KOSHER BALL.

        CHILDLESS MODI , CHAMPION OF EARTH, EVEN WROTE A BOOK ON CLIMATE CHANGE , GETTING SPONANEOUS KNOWLEDGE FROM AKASHA FROM WHERE ANCIENT MAHARISHIS DOWNLOADED THE VEDAS

        THE POLITICAL DETERMINANTS ON SUPPLY MAKE THE EU CARBON MARKET PARTICULARLY PRONE TO JEWISH DEEP STATE LOBBYING INFLUENCE – EITHER THROUGH DIRECT LOBBYING BY KOSHER BRUSSELS-BASED ASSOCIATIONS, OR BY LOBBYING NATIONAL GOVERNMENTS ( ALL CRYPTO JEW RULERS ) TO ACT ON BEHALF OF CERTAIN INDUSTRIES IN EU PROCESSES.

        SUCH LOBBYING EFFECTS NOT SIMPLY THE RULES GOVERNING HOW THE MARKET OPERATES, BUT THE SUPPLY OF PERMITS AND CREDITS. IN THE CASE OF INTERNATIONAL OFFSETS, GOVERNMENTS ARE BOTH SUPPLIES AND USERS OF CREDITS, CONTRIBUTING TO SIGNIFICANT CONFLICTS OF INTEREST

        THE CREATION OF A SPECULATIVE MARKET CONTRADICTS THE STATED PURPOSE OF SETTING A PRICE ON CARBON.

        CARBON MARKETS CONTRIBUTE TO A FINANCIALISATION OF CLIMATE CHANGE THAT INHIBITS THE SEARCH FOR GENUINE SOLUTIONS. EVERY SINGLE THING BOILS DOWN TO MONEY..

        ALMOST LIKE A MODERN JEWISH WEDDING CONTRACT ..IF YOU DON’T ALLOW ANAL SEX ( ON A CHRONS LADEN ASSHOLE) , FOR MORE THAN 3 DAYS THEN THE KOSHER PENALTY SHALL BE SO AND SO..

        CARBON CREDITS ARE PARTICULARLY SUITED TO KOSHER MONEY LAUNDERING, COMPARED WITH OTHER COMMODITIES, AS THERE IS NO COST OF TAKING PHYSICAL DELIVERY OR MOVING THEM. THEY CAN ALSO BE MOVED INSTANTLY.

        WHERE FOREST FIRES HAPPEN IN WHITE NATIONS EMITTING MASSIVE CARBON, ALL IS HUNKY KOSHER DORY..

        ONLY A JEW CAN DECIDE HOW MUCH 1350 MILLION INDIANS FARTER IN A DAY.. A JEW WILL THEN SELL A MITIGATING MEASURE TO REDUCE INDIAN FARTING ( OR CONDONE ) FOR US DOLLARS ..

        JEWS WILL USE NEW MARKETS TO TRY AND LAUNDER THEIR MONEY, AS THESE NEW MARKETS ARE ( DELIBERATELY ) NOT UNDERTOOD WELL OR REGULATED YET..

        MONEY-LAUNDERING ACTIVITIES CAN NOW HAVE WIDER, INTERNATIONAL WELL ENTRANCHED CONNECTIONS..

        THE WESTERN WORLD CONSUMES, BUT THE EMISSIONS ARE RECORDED IN CHINA/ INDIA BECAUSE THAT’S WHERE THE GOODS ARE BEING PRODUCED. IRONICALLY, THE WESTERN COUNTRIES ARE ON TRACK TO ACHIEVE THE EMISSION TARGETS AND CHINA/ INDIA IS BLAMED FOR GLOBAL WARMING.

        http://ajitvadakayil.blogspot.com/2019/10/greta-thunberg-puppet-of-jewish-deep.html

        http://ajitvadakayil.blogspot.com/2019/02/america-caused-global-warming-with.html

        http://ajitvadakayil.blogspot.com/2019/06/record-heat-wave-europe-2019-root-cause.html

        IF A COMPANY IS FLUSH WITH CARBON CREDITS, IT CAN KEEP ITS COAL PLANT RUNNING, SLASH THE PLANT’S EMISSIONS, AND THE COMPANY WILL HAVE EXCESS CARBON CREDITS IT CAN TRADE TO, SAY, AN OIL AND GAS COMPANY LOOKING TO POLLUTE MORE.

        EUROPE’S CARBON-TRADING MARKET WAS SUPPOSED TO BE CAPITALISM’S SOLUTION TO GLOBAL WARMING. INSTEAD, IT BECAME A PLAYGROUND FOR GANGSTERS, INTERNATIONAL JEWISH CRIME SYNDICATES, AND A KOSHER FRONT FOR MONEY LAUNDERING.

        A TYPICAL KOSHER FRAUD INVOLVED BUYING CARBON PERMITS IN ONE EU COUNTRY FROM ANOTHER, FREE OF VAT, THEN SELLING THEM ON WITH THE VAT ADDED TO ANOTHER BUYER.

        BUT INSTEAD OF DECLARING THE VAT AND PAYING IT TO THE RELEVANT TAX AUTHORITY, THE KOSHER TRADER POCKETS THE MONEY AND USED A SERIES OF FRONT COMPANIES TO MAKE THE SCAM HARD TO DETECT.

        THE PERMITS WERE BOUGHT IN COUNTRIES THAT DID NOT IMPOSE VALUE ADDED TAX (VAT) AND SOLD IN OTHER COUNTRIES WHERE VAT WAS INCLUDED IN THE PRICE. THE TRADERS WHO ENGAGED IN THIS PRACTICE WOULD THEN GO MISSING WITHOUT EVER DECLARING THE TAX INCOME TO NATIONAL TREASURIES..

        A SERIES OF CARBON FRAUD CASES, AND THE ROLE PLAYED BY “DERIVATIVES” IN TRIGGERING THE FINANCIAL CRISIS, HAS MADE THIS POSITION UNTENABLE AND USHERED IN A NEW WAVE OF REGULATION. THE WHOLE IDEA IS TO KEEP THE SYSTEM DELIBERATELY COMPLICATED WITH BLACK BOX KOSHER ALGORITHMS

        capt ajit vadakayil
        ..

    1. https://timesofindia.indiatimes.com/business/india-business/changes-in-fdi-rules-dont-violate-treaties-india-to-china/articleshow/75283196.cms

      MUCH BEFORE JNU WOMAN NIRMALA SITARAMAN BLED BHARATMATA AT WTO NAIROBI, I HAD WARNED MODI..

      MADE A STAMP FOR "PARAMOUNT CLAUSE " ON TOP OF THE COMMERCE MINISTERs SIGNATURE.

      THE PARAMOUNT CLAUSE STAMP PRINTS " NATIONAL SOVEREIGNTY WILL NOT BE SURRENDERED BY SIGNING BELOW"

      YOU CANNOT "SIGN WITHOUT PREJUDICE" IN SUCH WTO TREATIES.. WHICH MEANS BY SIGNING ON THE DOTTED LINE YOU DO NOT SURRENDER ANY OF YOUR PRE-EXISTING RIGHTS..

      EXTREME CHICANERY IS USED BY USING BOMBASTIC AND SLIMY ENGLISH LANGUAGE PROSE.. THEY PLAY CRIPPLING GAMES WITH WORDS LIKE "SHALL " AND "SHOULD"..

      WTO IS NOTHING BUT AN INSTRUMENT OF THE NEW WORLD ORDER RUN BY THE JEWISH DEEP STATE.

      IT CREATING A SUPRANATIONAL KOSHER KANGAROO COURT SYSTEM THAT HAS THE POWER TO ECONOMICALLY SANCTION COUNTRIES TO FORCE THEM TO COMPLY WITH ITS RULINGS.

      WTO SUPPORTS HORMONE AND ANTIBOTICS INJECTED MEAT TRADE . WHEN EU OBJECTED , WTO RULED THAT THIS PUBLIC HEALTH LAW IS A BARRIER TO TRADE AND SHOULD BE ABOLISHED. THE EU HAS TO ROLLBACK ITS BAN OR PAY STIFF PENALTIES.

      WTO SUPPORTS THE BEEF LOBBY.

      INDIA MUST NOT ALLOW NATIONAL SOVEREIGNTY TO BE SACRIFICED AT THE ALTAR OF BILDERBERG CONTROLLED WTO ARBITRATION COURTS WHO PUSH “WIDER GOOD” .

      WE KNOW THAT WIDER GOOD IS ONLY TO BENEFIT THE ZIONIST JEWS. . .

      WE DON’T WANT EU TYPE BULLSHIT COMMUNIST TEAMWORK FULL OF “CHICANERY” , “ULTERIOR MOTIVES” , “ UN PROPAGANDA OF WE MUST WORK FOR COMMON GOOD NONSENSE “ AFFECTING THE REST OF THE PLANET , WHO JUST CANT UNDERSTAND WHAT IS GOING ON . . .

      WTO, ILO, WHO , FAO ,IMF. IBRD ARE ALL CONTROLLED BY JEW R0THSHILD, WHO RULED INDIA BEFORE 1947 . . .

      IN ORDER TO GAIN ACCEPTANCE INTO THE WORLD TRADE ORGANIZATION (WTO), NATIONS ARE REQUIRED TO MEET CERTAIN KOSHER REGULATIONS TO OPEN THEIR MARKETS UP TO FOREIGN EXPORTS. THIS INCLUDES THE ABOLITION OF THINGS LIKE TARIFFS OR ANY OTHER NUMBER OF PRACTICES THAT COULD BE INTERPRETED BY THE WTO AS “BARRIERS TO ZIONIST JEW TRADE.”

      WE IN INDIA WILL NOT TOLERATE IF NOBEL PRIZE KA BHOOKA APCO MODI SURRENDERS TO THE GM LOBBY FOR PERSONAL GLORY . .

      OUR SOIL IS POISONED, OUR BEES HAVE BEEN DECIMATED, OUR GROUNDWATER IS POISONED , EVIL PHARMA IS GETTING RICHER . . . PUNJAB YOUTH HAVE CAPITULATED TO DRUGS .. WE DRINK TOXIC A1 MILK OF WESTERN HUMPLESS COWS ..

      TRADE FACILITATION AGREEMENT (TFA) IS A TRADE PROTOCOL AIMING TO DO AWAY WITH CHECKS AND BALANCE—ACCORDING TO THE RICH COUNTRIES , THE STUMBLING BLOCKS IN DOING INTERNATIONAL TRADE ..

      WTO DOES NOT WANT TO DISCUSS AND ALLAY INDIA'S CONCERN ON FOOD SUBSIDY WHICH IS A LIFELINE FOR LAKHS OF BPL PEOPLE .

      INDIAs MONSOON AND FOOD PRODUCTION IS AFFECTED BY SHALE FRACKING IN USA..

      http://ajitvadakayil.blogspot.com/2019/06/record-heat-wave-europe-2019-root-cause.html

      http://ajitvadakayil.blogspot.com/2019/10/greta-thunberg-puppet-of-jewish-deep.html

      INDIA AT PRESENT IS RUNNING A MASSIVE FOOD PROCUREMENT PROGRAMMES BY PROVIDING MINIMUM SUPPORTING PRICE TO THE FARMERS AND GIVING SUBSIDISED FOOD TO LAKHS OF BPL FAMILIES THROUGH ITS PUBLIC DISTRIBUTION SYSTEM (PDS).

      THE NEW WTO AGREEMENT LIMITS THE VALUE OF FOOD SUBSIDIES AT 10 PERCENT OF THE TOTAL FOOD GRAIN PRODUCTION.

      CONTINUED TO 2—

      1. CONTINUED FROM 1—

        INDIA QUERIES THAT WHEN US IS PROVIDING 120 BILLION AS AGRICULTURE SUBSIDY THEN WHY INDIA CAN'T GIVE EVEN ONE TENTH (USD 12 BILLION) TO THEIR OWN FARMERS, WHO ARE COMMITTING SUICIDE .

        WE DO WE HAVE A GOVT ?

        THE GOVT HAS FEED ITS PEOPLE, RIGHT?— WITHOUT FALLING PREY TO WOLVES LIKE GM FOOD CORPNS LIKE MONSANTO/ CARGILL ?

        OUR FOOD PROGRAMME IS ALMOST FULLY DOMESTIC SO IT DOESN'T DISTORT GLOBAL FOOD TRADE AT ALL .
        NCE THE TFA WILL BE IMPLEMENTED IT WILL BE DIFFICULT TO BARGAIN ON THE FOOD SUBSIDY THING. THE PROBLEM WITH TFA RUNS IN A CLAUSE THAT SAYS FARM SUBSIDIES CANNOT BE MORE THAN 10 PERCENT OF THE VALUE OF AGRICULTURAL PRODUCTION.

        IF THE CAP IS BREACHED, OTHER MEMBERS CAN CHALLENGE IT AND ALSO GO ON TO IMPOSE TRADE SANCTIONS ON THE COUNTRY.

        LIKE HOW NATO INSPECTED IRAQ FOR WMD, A HUGE HIDDEN EVIL IS THAT EVEN FOR PROVIDING SUBSIDISED FOOD, INDIA WILL HAVE TO OPEN UP ITS OWN STOCKPILING TO INTERNATIONAL MONITORING

        http://ajitvadakayil.blogspot.in/2012/05/monsanto-and-farmer-suicides-in-india.html

        WTO ARGUES THAT IF THE DEVELOPING COUNTRIES CONTINUE TO GIVE PRICES TO FARMERS WHICH ARE HIGHER THAN THE MARKET PRICES, IT MIGHT HARM THE POOR FARMERS IN OTHER PARTS OF THE WORLD.

        SO BE IT !!

        INDIA HAS ALREADY PAID A HUGE PRICE FOR ENTERING INTO SUCH KOSHER AGREEMENTS. . AND MODI PLAYS KOSHER BALL, BECAUSE HE WANTS TO BE SEEN AS A WORLD LEADERS ..

        THE JOKE IS JNU WOMAN NIRMALA SITARAMAN CAME BACK TO INDIA AFTER WTO NAIROBI AND STARTED MOANING..

        THIS IS DESPITE CAPT AJIT VADAKAYIL WARNING HER 3 DAYS IN ADVANCE.. SEE POST BELOW --

        TRAITOR JNU PRODUCT NIRMALA BABY , WE DID NOT SEND YOU THERE TO CAPITULATE TO JEWISH DEEP STATE .. YOU HAVE FAILED BHARATAMATA..

        http://ajitvadakayil.blogspot.com/2015/12/thermal-coal-power-plants-clean-exhaust_16.html

        capt ajit vadakayil
        ..

      2. PUT ABOVE COMMENT IN WEBSITES OF—
        GRETA THUNBERG
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ FRANCE/ GERMANY/ UK/ CHINA
        EDITOR GLOBAL TIMES HU XIJIN
        EVERY AMBASSADOR TO FROM EU NATIONS
        EVERY RULER OF EU NATIONS
        IMF
        GITA GOPINATH
        WORLD BANK
        DAVID MALPASS
        FITCH
        MOODY
        S&P
        UN
        UN CHIEF
        RBI
        RBI GOVERNOR
        FINANCE MINISTER/ MINISTRY CENTRE AND STATES
        EXTERNAL AFFAIRS MINISTER/ MINISTRY
        ENVIRONMENTAL MINISTER/ MINISTER CENTRA AND STATES
        FOOD MINISTER/ MINISTRY CENTRE AND STATES
        NGT
        PMO
        PM MODI
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        EVERY COLLECTOR OF INDIA
        NCERT
        EDUCATION MINISTER/ MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEF
        CDS
        AMIT SHAH
        HOME MINISTRY CENTRE/ STATES
        CJI BOBDE
        ATTORNEY GENERAL
        LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
        ALL CHIEF JUSTICES HIGH COURTS
        I&B MINISTER / MINISTRY
        NSA
        AJIT DOVAL
        RAW
        IB
        CBI
        NIA
        ED
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        ALL INDIAN THINK TANKS
        NITI AYOG
        AMITABH KANT
        MOHANDAS PAI
        RAJEEV CHANDRASHEKHAR
        AZIM PREMJI
        MUKESH AMBANI
        RATAN TATA
        ANAND MAHINDRA
        KUMARAMANGALAMBIRLA
        LAXMI MNARAYAN MITTAL
        KAANIYA MURTHY
        RAHUL BAJAJ
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        NAVEEN JINDAL
        GOPICHAND HINDUJA
        DILIP SHANGHVI
        GAUTAM ADANI
        THAMBI SUNDAR PICHAI
        SATYA NADELLA
        CEO OF WIKIPEDIA
        QUORA CEO ANGELO D ADAMS
        QUORA MODERATION TEAM
        KURT OF QUORA
        GAUTAM SHEWAKRAMANI
        WILLIAM DALRYMPLE
        KONRAED ELST
        FRANCOIS GAUTIER
        STEPHEN KNAPP
        DAVID FRAWLEY
        SONIA GANDHI'
        RAHUL GANDHI
        PRIYANKA VADRA
        ARNAB GOSWAMI
        NAVIKA KUMAR
        ANAND NARASIMHAN
        RAJDEEP SARDESAI
        SRINIVASAN JAIN
        SONAL MEHROTRA KAPOOR
        VIKRAM CHANDRA
        NIDHI RAZDAN
        FAYE DSOUZA
        ZAKKA JACOB
        RAHUL KANWAL
        RAVISH KUMAR
        PRANNOY JAMES ROY
        AROON PURIE
        VINEET JAIN
        RAGHAV BAHL
        SEEMA CHISTI
        DILEEP PADGOANKAR
        VIR SANGHVI
        KARAN THAPAR
        PRITISH NANDI
        SHEKHAR GUPTA
        SIDHARTH VARADARAJAN
        PAVAN VARMA
        RAMACHANDRA GUHA
        SWAMY
        RAJIV MALHOTRA
        P GURUS
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        THE QUINT
        THE SCROLL
        THE WIRE
        THE PRINT
        MK VENU
        VINOD DUA
        MADHU TREHAN
        SANJAY HEDGE
        SHOBHAA DE
        ARUNDHATI ROY
        JAIRAM RAMESH
        SHASHI THAROOR
        KAPIL SIBAL
        ABHI SEX MAANGTHA SINGVI
        TEHSEEN POONAWAALA
        SHEHZAD POONAWALA
        SANJAY JHA
        RANDIP SURJEWALA
        JEAN DREZE
        HARSH MANDER
        DIG VIJAY SINGH
        JULIO RIBEIRO
        SUHEL SETH
        KAMALAHASSAN
        SALMAN KHURSHEED
        GHULAM NABI AZAD
        SWARA BHASKAR
        ABHIJIT BANNERJEE
        RAGHURAM RAJAN
        JAYATI GHOSH
        AARTYA SEN
        MANMOHAN SINGH
        CHID BABY
        PRANAB MUKHERJEE
        YESHWANT SINHA
        MONTEK SINGH AHLUWALIA
        ALEX JONES
        RENSE
        RANA AYYUB
        SABA NAQVI
        SHEHLA RASHID
        KAVITA KRISHNAN
        TEESTA SETALVAD
        SANJAY HEGDE
        GVL NARASIMHA RAO
        SAMBIT PATRA
        ASHOK PANDIT
        ANUPAM KHER
        KANGANA RANAUT
        VIVEK AGNIHOTRI
        MEENAKSHI LEKHI
        SMRITI IRANI
        PRASOON JOSHI
        SWAPAN DASGUPTA
        MADHU KISHWAR
        SUDHIR CHAUDHARY
        GEN GD BAKSHI
        RSN SINGH
        NALIN KOHLI.
        UDDHAV THACKREY
        RAJ THACKREY
        CHANDAN MITRA
        SADGURU JAGGI VASUDEV
        BABA RAMDEV
        SRI SRI RAVISHANKAR
        ADMIRAL RAMDAS , HIS WIFE AND HIS DAUGHTER
        ADMIRAL VISHNU BHAGAT
        CHETAN BHAGAT
        ZOYA HASAN
        JOHN BRITTAS
        THOMAS ISAAC
        ASADUDDIN OWAISI
        FAZAL GHAFOOR
        ROMILA THAPAR
        IRFAN HABIB
        NIVEDITA MENON
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        KUNHALIKUTTY
        ASHOK SWAIN
        PALLAVI PUNDIR
        RAZIMAN TV
        SAFOORA ZARGAR
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        MANI SHANKAR AIYAR
        DIG VIJAY SINGH
        NAVJOT SINGH SIDHU
        MOHANLAL
        SURESH GOPI
        SWAMYs BULLSHIT VIRAATS SENA
        MAMMOTTY
        DULQER SALMAN
        HISTORY CHANNEL
        DAVID HATCHER CHILDRESS
        ENTIRE BBC GANG
        MAJOR WORLD MEDIA
        SPREAD ON SOCIAL MEDIA


    1. THE KING IS DEAD !!

      LONG LIVE THE KING !!!!


      EVERY ENGLISHMAN KNOWS WHAT THIS MEANS...

      IT MEANS PAPA KING IS DEAD AND NOW SONNY PRINCE HAS BECOME THE NEW KING..

      SAME WAY

      WHEN THE CORONAVIRUS SMOKE BLOWS OVER..

      THERE WILL BE A NEW CRY LED BY INDIA ALL OVER THIS PLANET...

      ECONOMICS IS DEAD !!

      LONG LIVE ECONOMICS !!!

      THIS MEANS -- INDIA WILL NOT ALLOW THE TAIL TO WAG THE DOG ANYMORE...

      HERE IS A POST I WROTE 4 YEARS AGO..

      http://ajitvadakayil.blogspot.com/2016/06/gpi-dog-shall-wag-gdp-tail-not-vice.html

      IF YOU WANT A MORE CONDENSED VERSION OF IT ( FOR THE BRAIN DEAD ), READ QUESTIONS TO QUORA NO 686 TO 820, IN THE POST BELOW---

      http://ajitvadakayil.blogspot.com/2019/06/archived-questions-to-quora-from-capt.html

      WHAT IS THIS G6 GROUP WHO SIT AND DRINK PREMIUM WINE EVERY YEAR ?

      A GROUP OF BEGGAR NATIONS WHO PRETEND TO BE THE WEALTHIEST.. LED BY USA WHOSE NATIONAL DEBT IS 24.5 TRILLION USD..

      https://www.usdebtclock.org/

      THE US PRESIDENT DOES NOT CONSIDER IT NECESSARY TO INCLUDE THIS MIND NUMBING STATISTIC IN HIS SOTU ADDRESS..

      IMF/ WORLD BANK / ROTHSCHILDs RATING AGENCIES FITCH-MOODY-S&P- PLAY KOSHER BALL..

      NOT ANY MORE !

      WE ARE NOT GONNA HAVE A SYSTEM WHERE NATIONS LIKE ZIMBABWE / VENEZUELA ARE PUNISHED FOR NOT ALLOWING JEWS TO STEAL FROM THEIR NATIONS.. BY JEWISH DEEP STATE INFLATING THEIR "INFLATION RATE"..

      ALL KNOW THAT ZIMBABAWE HAD TRILLION RATE INFLATION, AND WHEN MUGABE WAS KICKED OUT BY A COUP, WITH A PLIANT JEWISH PUPPET, THE INFLATION RATE CAME DOWN LIKE MAGIC OVERNIGHT TO ZERO..

      https://edition.cnn.com/2016/05/06/africa/zimbabwe-trillion-dollar-note/index.html

      VENEZUELAs INFLATION RATE IS 10 MILLION PERCENT..

      https://economictimes.indiatimes.com/news/international/business/imf-sees-venezuela-inflation-at-10-million-per-cent-in-2019/articleshow/66139421.cms

      IT WILL FALL DOWN OVERNIGHT AS SOON A PATRIOT MADURO IS REPLACED BY JEW GUAIDO

      THE WHOLE WORLD NOTICED THAT JEW GUAIDO ATTENDED THE SOTU ADDRESS OF TRUMP AND HE GOT A STANDING OVATION FROM BOTH SIDES OF THE AISLE.. DEMOCRAT BUMS AND REPUBLICANS --A RARE EVENT..

      AND HEY, GITA GOPINATH ( BLOOD RELATIVE OF ROTHSCHILD COMMIE AK GOPALAN ) WANTS PM MODI TO DECLARE "REAL" GDP, FACTORING IN INFLATION RATE..

      BRRAAAAYYYYYYYYYYYY..

      WHAT IS INFLATION??

      HERE IS A POST I WROTE 9 YEARS AGO..

      http://ajitvadakayil.blogspot.com/2011/01/murky-truths-of-inflation-and.html

      INDIA WILL POINT TO THE ELEPHANT IN THE ROOM..

      INDIA WILL HOLLER " THE EMPEROR AINT WEARING CLOTHES"

      THE SUPPRESSED/ OPPRESSED WORLD WILL LISTEN...

      THANKS TO JEW OBAMA, SAN FRANCISCO IS A CITY FULL OF ILLEGAL IMMIGRANTS AND SHIT / RATS/ DRUG NEEDLES..

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF--
        MADURO
        TRUMP
        NANCY PELOSI
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ FRANCE/ GERMANY/ UK/ VENEZUELA / CHINA
        EDITOR GLOBAL TIMES HU XIJIN
        IMF
        GITA GOPINATH
        WORLD BANK
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        PMO
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        NAVIKA KUMAR
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        RAJDEEP SARDESAI
        SRINIVASAN JAIN
        SONAL MEHROTRA KAPOOR
        VIKRAM CHANDRA
        NIDHI RAZDAN
        FAYE DSOUZA
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        RAHUL KANWAL
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        PRANNOY JAMES ROY
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        RAGHAV BAHL
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        DILEEP PADGOANKAR
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        KARAN THAPAR
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        SHEKHAR GUPTA
        SIDHARTH VARADARAJAN
        PAVAN VARMA
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        SWAMY
        RAJIV MALHOTRA
        P GURUS
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        THE QUINT
        THE SCROLL
        THE WIRE
        THE PRINT
        MK VENU
        VINOD DUA
        MADHU TREHAN
        SANJAY HEDGE
        SHOBHAA DE
        ARUNDHATI ROY
        JAIRAM RAMESH
        SHASHI THAROOR
        KAPIL SIBAL
        ABHI SEX MAANGTHA SINGVI
        TEHSEEN POONAWAALA
        SHEHZAD POONAWALA
        SANJAY JHA
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        JEAN DREZE
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        DIG VIJAY SINGH
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        SALMAN KHURSHEED
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        ABHIJIT BANNERJEE
        RAGHURAM RAJAN
        JAYATI GHOSH
        AARTYA SEN
        MANMOHAN SINGH
        CHID BABY
        PRANAB MUKHERJEE
        YESHWANT SINHA
        MONTEK SINGH AHLUWALIA
        ALEX JONES
        RENSE
        RANA AYYUB
        SABA NAQVI
        SHEHLA RASHID
        KAVITA KRISHNAN
        TEESTA SETALVAD
        SANJAY HEGDE
        GVL NARASIMHA RAO
        SAMBIT PATRA
        ASHOK PANDIT
        ANUPAM KHER
        KANGANA RANAUT
        VIVEK AGNIHOTRI
        MEENAKSHI LEKHI
        SMRITI IRANI
        PRASOON JOSHI
        SWAPAN DASGUPTA
        MADHU KISHWAR
        SUDHIR CHAUDHARY
        GEN GD BAKSHI
        RSN SINGH
        NALIN KOHLI.
        UDDHAV THACKREY
        RAJ THACKREY
        CHANDAN MITRA
        SADGURU JAGGI VASUDEV
        BABA RAMDEV
        SRI SRI RAVISHANKAR
        ADMIRAL RAMDAS , HIS WIFE AND HIS DAUGHTER
        ADMIRAL VISHNU BHAGAT
        CHETAN BHAGAT
        ZOYA HASAN
        JOHN BRITTAS
        THOMAS ISAAC
        ASADUDDIN OWAISI
        FAZAL GHAFOOR
        ROMILA THAPAR
        IRFAN HABIB
        NIVEDITA MENON
        AYESHA KIDWAI
        KUNHALIKUTTY
        ASHOK SWAIN
        PALLAVI PUNDIR
        RAZIMAN TV
        SAFOORA ZARGAR
        ARFA KHANUM SHERWANI
        MANI SHANKAR AIYAR
        DIG VIJAY SINGH
        NAVJOT SINGH SIDHU
        MOHANLAL
        SURESH GOPI
        SWAMYs BULLSHIT VIRAATS SENA
        MAMMOTTY
        DULQER SALMAN
        HISTORY CHANNEL
        DAVID HATCHER CHILDRESS
        ENTIRE BBC GANG
        MAJOR WORLD MEDIA
        SPREAD ON SOCIAL MEDIA
    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY JEWSH DEEP STATE PAYROLL LIAR ASHOK SWAIN ( PROFESSOR IN SWEDEN ) .. 

    ASHOK SWAIN  RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN?--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES ..   ALONG WITH SOME INDIAN COMMIES/ NAXALITES..


    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE UNDERDEVELOPED NATIONS..


    IN COMPARISON TO INDIAs 0.3  ( WE HAVE 1350 MILLION PEOPLE ) ,  SWEDEN IS 132..

    SPAIN/ 409
    BELGIUM/ 419
    ITALY / 358
    FRANCE / 263
    UK/ 202
    USA/ 87

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION.. BY TRAITORS LIKE ASHOK SWAIN..

    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES/ DISFUNCTIONAL FAMILY/ PARENTS DISCARDED IN OLD AGE HOMES  / MENTAL PROBEMS/  CRIPPLES/  SERIOUS DISEASES /  INFERTILITY / LACK OF RESPECT FOR WOMEN – PARENTS / HUNGER /  DEBT PER CAPITA ETC ETC..

    I HAVE SEEN THIS PLANET FOR 40 YEARS..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..


    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil

    ..



    I BROKE MY PERSONAL POLICY OF NOT COMMENTING ON MEDICAL MATTERS TO SAVE THIS PLANET..ON REUEST FROM MY READERS

    I DONT HAVE TO BE A HEN TO GRADE AN OMELETTE..

    I HAVE A 100% TRACK RECORD..

    LOOKS LIKE I HAVE TO GO BACK AND RESUME MY POLICY OF " NO MEDICAL COMMENTS "

    OR I HAVE TO CHANGE MY NAME TO ANUSHKA SHARMA-- SO THAT MODI WILL JUMP UP AND DOWN IN BHRAMMMM .. VOTE MAANGTH HAI NAAH ?

    ARRRGGHH PPTTHHEEOOYYYYYYYYY

    capt ajit vadaayil
    ..



    1. ALL KNOW THAT CAPT AJIT VADAKAYIL WAS THE FIRST TO WRITE THAT ASYMPTOMATIC TESTS FOR CORONAVIRUS MUST BE DONE WITH GOLD NANO COLLOIDS..

      OUR CURRENT COVID-19 PANDEMIC IS NOT LIKE THE PAST FLU PANDEMICS.. HERE 55% OF PEOPLE CARRY VIRUS WITHIN THEM , WITHOUT SHOWING SYMPTOMS.. THESE PEOPLE CAN INFECT THE WHOLE PLANET..

      EVER HEARD OF TYPHOID MARY?


      THIS IS WHY WE NEED TO KICK START TESTING FOR ASYMPTOMATIC PATIENTS USING THE GOLD NANO PARTICLE TEST METHOD.. I HAVE WRITTEN ABOUT IT AGAIN AND AGAIN AND AGAIN

      WHAT IS WHO AND CDC WORTH? THESE ORGS ARE SLAVES OF KOSHER EVIL PHARMA WHO WANT TO MILK THE PANDEMIC..

      INDIA MUST IMMEDIATELY DEVELOP LATERAL FLOW IMMUNOASSAY TESTS – ANTIBODY TESTS – FOR USE AS RAPID DIAGNOSTIC TOOLS FOR THE NOVEL CORONAVIRUS DISEASE, COVID-19. DO NOT GO ON A WILD GOOSE CHASE ..

      BHARATMATA IS BLEEDING , AND STUPID DOCTORS ( USING PUSH AND PULL ) COME ON TV PAYING MONEY FOR PERSONAL FAME.


      THE ANTIBODY TESTS USE GOLD NANOPARTICLES IN THE TEST STRIP THAT DETECT COVID-19 BIOMARKERS, IGG AND IGM, WHICH ARE RELEASED ON INTERACTION WITH ANTIBODIES EMBEDDED IN THE STRIP.

      BLOOD EMANATING FROM A A FINGER-PRICK MOVES ALONG THE STRIP THE BIOMARKERS COME INTO CONTACT WITH THE ANTIBODIES AND ILLICIT A COLOUR CHANGE, VISIBLE IN A TEST LINE, IN MUCH THE SAME WAY AS YOU WOULD SEE IN A PREGNANCY TEST.

      BOTH IGM, A GENERALIZED INFECTION BIOMARKER, AND IGG, A MORE SPECIFIC SARS-COV-2 BIOMARKER CAN BE DONE WITH GREAT ACCURACY.. WITHIN 10 MINUTES.

      THE ANTIBODY TESTS ARE ABLE TO DETECT INFECTION WHERE THE PATIENTS MAY BE ASYMPTOMATIC OR WHERE CURRENTLY USED PCR TESTS MAY GIVE FALSE-NEGATIVE RESULTS.

      HAVING SUCH ACCURATE AND RAPID TESTS COULD HELP ENORMOUSLY IN PREVENTING THE SPREAD OF INFECTION WITH SARS-COV-2 AS EARLIER DETECTION AND ISOLATION WILL REDUCE THE RISK OF PASSING ON THE VIRUS.

      AGAIN, THE ANTIBODY TESTS ARE ABLE TO DETECT INFECTION WHERE THE PATIENTS MAY BE ASYMPTOMATIC OR WHERE CURRENTLY USED PCR TESTS MAY GIVE FALSE-NEGATIVE RESULTS.

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF—
        IMA
        WHO
        WHO CHIEF
        CDC
        CDC CHIEF
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRANCE/ GERMANY/ CHINA
        GLOBAL TIMES EDITOR HU XIJIN
        UN
        UN CHIEF
        PMO
        PM MODI
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        EVERY COLLECTOR OF INDIA
        NCERT
        EDUCATION MINISTER/ MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEF
        CDS
        AMIT SHAH
        HOME MINISTRY CENTRE/ STATES
        CJI BOBDE
        ATTORNEY GENERAL
        LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
        ALL CHIEF JUSTICES HIGH COURTS
        I&B MINISTER / MINISTRY
        NSA
        AJIT DOVAL
        RAW
        IB
        CBI
        NIA
        ED
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        ALL INDIAN THINK TANKS
        NITI AYOG
        AMITABH KANT


    1. EVER SINCE I PUT UP THE POST BELOW TWO YEARS AGO, THE WORLD HAS FOCUSED ON NANO GOLD COLLOIDS TO DETECT/ PREVENT/ CURE VIRUS, EXCEPT INDIA..

      BECAUSE MODI WILL ONLY APE WHITE JEWS..EVEN FOR SIMPLE COMMONSESENSE MATTERS LIKE WEARING MASKS..

      http://ajitvadakayil.blogspot.com/2018/05/nipa-virus-deaths-in-kerala-gomutra-of.html

      CORONA VIRUS AND GOLD NANO COLLOIDS ARE THE SAME SIZE.

      GOLD NANO COLLOID METHOD DIAGNOSE NOT ONLY INFECTION, BUT ALSO THE PHASE OF INFECTION AND CAN DELIVER A RESULT AT MUCH SMALLER VIRAL LOADS ..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      THIS IS IMPORTANT WHEN 55% OF PEOPLE DO NOT SHOW SYMPTOMS OF COVID-19 VIRUS AND THERE IS PRESYMPTOMATIC AND ASYMPTOMATIC TRANSMISSION
      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      https://www.youtube.com/watch?v=jo5Wla2VLC0

      https://www.youtube.com/watch?v=iqPuiZiq4io

      capt ajit vadakayil
      ..


    https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

    ABOVE POST IS RACING TO A ALL TIME HIGH

    MIND YOU, MY POST ON CHIKUNGUYA IS THIRD ON THIS ALL TIME HIGH LIST..   PAPAYA LEAF JUICE SAVED THIS PLANET.. ALL KNOW THAT..


    http://ajitvadakayil.blogspot.com/2012/08/chikungunya-disease-created-in-lab-capt.html

    capt ajit vadakayil
    ..



    SOME OF MY JEALOUS DETRACTORS WENT OFF THE AIR AND MAINTAINED RADIO SILENCE HOPING THEIR READERS WILL GIVE A FEVERISH PLEA--

    SAAAAR GET BACK AND RESUME SAVING THIS PLANET AND ITS DENIZENS. WE MISS YOU

    MOST OF THEIR READERS ARE CUNTS WHOM I TOLD-- FUCK OFF FROM MY BLOGSITE..HEY JOINED THERE TO SPITE ME..

    ALL THEY GOT IS SHIT LADEN THENGA !

    TEE HEEEEE

    PROOF OF THE PUDDING LIES IN THE EATING..

    capt ajit vadakayil
    ..




    1. https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      THE COVID-19 VIRUS HAS THE CAPACITY TO AFFECT FAR MORE THAN JUST THE RESPIRATORY TRACT. INITIALLY, HOWEVER, IT WAS VIEWED “VERY MUCH LIKE A CLASSIC RESPIRATORY VIRAL INFECTION.

      AS A RESULT, A LOT OF PEOPLE WERE REFUSED TESTING BECAUSE THEY WERE NOT SHOWING THE CLASSIC SIGNS” OF RESPIRATORY INFECTION,

      WARNING: NEVER EVER IGNORE THE FACT THAT CORONAVIRUS PATIENTS BEFORE THEY DIE HAVE NO SENSE OF SMELL OF TASTE FOR SEVERAL HOURS.. THEY CANNOT TASTE A TEASPOON ON VINEGAR OR SMELL THE FLAVOUR

      THE VIRUS SEEMS TO HAVE CAPACITY TO AFFECT FAR MORE THAN JUST THE RESPIRATORY TRACT. IT AFFECTS THE BRAIN BREACHING THE BLOOD BRAIN BARRIER.

      CORONAVIRUSES ARE ZOONOTIC, WHICH MEANS THEY CAN PASS FROM ANIMALS TO HUMANS. MANY PEOPLE IN NEW YORK HAD DIED BECAUSE THEIR PETS ARE ASYMPTOMATIC

      IF ANYBODY IN NEWYORK DIES FIRST FIND OUT IF HE HAS A PET ( DOG/ CAT ) IN HIS HOME.

      THERE ARE MORE THAN 1.2 MILLION PETS IN THE CITY --700,000 DOGS AND 500,000 CATS IN CRAMPED LIVING SPACES...

      PEOPLE IN NEW YORK MUST NOT ALLOW PETS INSIDE THEIR BED ROOMS—LEAVE ALONE SLEEP UNDER THE SAME BLANKET.. WITH THIS CORONOVIRUS PANDEMIC SUCH SOCIAL LIVING IS HISTORY.. WHO AND US CDC MUST TAKE THE INITIATIVE

      ONLY NANO GOLD CAN SAVE THIS PLANET. GOLD NANO COLLOIDS DOES NOT CARE FOR MUTATING COVID-19 VIRUS, IT WILL HUNT AND DESTROY SYMPTOMATIC OR ASYMPTOMATIC ..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      capt ajit vadakayil
      ..

    CR  April 14, 2020 at 2:27 AM
    Pranam Guruji,

    The Paradox of self-worth is an understanding of true self-value.

    Individuals working for Twatter, Facecock, Quira, Wikipedio, Goygle dont know how to value themselves to even know what they're truly worth.
    -First thing you told your son when he went to work.

    You told us about paradox.
    Self-loathing is the wrong choice in a valuable lesson of an important laxman rekha.

    If you're brown skinned for example, you can be one of the best in the world in one the best imagined company jobs, but choose a path for yourself that leaves you with no inherent value as a human being--to yourself.

    You can achieve the best platform, results, success etc, but at the cost of denying ones own conscience, your value is one of a self-loathing slave, zilch. Yeah you get paid well, but the truth never disappears that you sold your soul and integrity to the highest bidder, for nothing scraps of silver.

    When that paradox becomes innately obvious, like when you're being shown the Vadakayil mirror so to speak, the shame and embarresment leads to denial in the form of "banning", a fallacious out of sight-out of mind response, to deny that their own self-depracting journey, has been a wasteful self-defecting one.

    The evil human quality exists,
    to show the line of paradox at every given moment of choice.

    The evil human quality, is jealousy.
    -Jealousy is in itself a lack of integrity and character.

    This is why we had become slaves, the whitemanR shimmered his shit as gold infront of us (all regardless of skin color), and we chased it whilst letting him cart our own real gold away through the back door.

    We were taught by an onslaught, that all that is foreign and thought by foreign and made by foreign and valued by foreign, is better than our own cultured prideful possessions.

    So all that time being an ashamed and sorry slave, doesnt want to be thought of as self-gifted, self-mutiliating self-harm. All that success doesnt want to be believed as unearned scraps of charity from master to slave donkey called jester.

    It must be painful to think "damn, Iz been royally hoodwinked" by those that "Iz worshipped", and under such maha-false pretenses as to stab my own in the back for betterment and "coming up in the world."

    Thats when the ostriches realize their chains, that they've never been allowed to run freely, just patted on their back "ghaddi ghaddi", that they themselves chose that existence falsely, that all along they could have avoided it or still can, and just need to think with their own strength and honor.

    The paradox is such, that their integrity/character, loyalty/work, performs brilliantly, but only to the outside skin color they have come to falsely adore, through a act of induced jealousy and a violently conditioned self-hatred, toward their own skin misbelived to be inferior.

    All along the opposite is and was always -true integrity.

    CR





    rajusundar  April 14, 2020 at 1:51 AM
    Even in this blog 95% OF READERS ARE NAIVE, less than 1% give YOUR MESSAGE to others and balance REPACKAGE AND PATENT THE BLOG CONTENTS AS THEIR HARD WORK. THEY ALL ARE NOT OF PARTICULAR Skin coloured but mostly white skinned as they are not mentally prepared for any person who is not of their own stock. So all the above combined makes them evil
    If you cannot take on a person single handedly then ambush him. For this end they take refuge in their skin colour. But alas they don't know who they are taking on!! Poor souls, really pity them.




    Prashant  April 14, 2020 at 1:34 AM
    pranaam captain,

    happy Vishu to you and your family.

    I found your blog in February 2019, because I was searching in google about fake shankaracharyas. I do not remember the exact post.
    that was right about the time when you started the 6 part india must rervert to organic "soil" series. i still have to complete it just finished 1 and half of it. such important information about biochar, earhworms/cow dung/humus and its not just what you write but the way you write captain like the watermelon story about parrikar plus comment like
    "LCD FOLKS - PLEASE EXCUZE MUAH


    THIS "SOIL SERIES" IS FOR HCD -- IT WILL BE HIGHLY TECHNICAL.."

    thank you very much captain




    Jayasree Narayanan Pillay  April 14, 2020 at 1:14 AM
    Namaskar Guruji
    The question is very interesting, as it makes us to rewind our memories to know how we became so devoted to your blog. Do not remember which year I visited your blog, but I was definitely searching for some information on google as to “why is that India is always in turmoil when we had our own kings, kingdoms and lot of wealth in terms of gold, precious stones and had a very rich culture and heritage. Then I stumbled on your blog perhaps I might have read about Gandhiji. While reading the blog on Gandhi, I could not digest the fact that he was a biggest traitor to our country. Because in school days we were taught the other way round and much hype was created stating that he was one who had given independence to India. Many times we watched the movie acted by Ben Kingsley, we used to feel the maha factor. However to get more clarity I did check with other links on google just to find out the real story on Gandhi. Somewhere in few links they did mention about Gandhi’s behavior but it was not up to the mark. Then perhaps I revisited your blog to get more information as to why our country keeps facing so much turmoil. Every day we get to see the baseless debates on Times now with Arnab shouting at the panelists. I used to tell my father to switch of the TV which was just spoiling our family environment. It was disgusting to see the news channels.
    Coming back when I read the blog on Gandhi, it was like a thunderbolt to me, how could it be…… and we wasted our precious childhood time and energy in reading all injudicious things, where we actually mugged each and every line in civics, and history (thank god ncert and states syllabus books did not tamper chemistry, biology and physics text books) just to pass. To be frank at times when reading your blogs I was quite doubt full thinking is it really true or am I going hyper with so much information. Because the whole world was going in one direction and your blog was showing the opposite direction. It took time for me to understand the events and prepare my mind to go with your flow of thoughts. It was because of your vast experiences in all the fields I decided to take a chance. However with time and the sequences happening around the globe made me feel --- Yes I am on the right track, right guru and started to support in relaying your comments. It was your gut factor that actually made me to begin my endless voyage with your blog. It does require a lot of courage to expose the harsh truth and is not an easy task. I remember my dad saying that one should overcome fear in the journey of life. Guruji I admire your creativity, style of placing the write-ups, pictures of grumpy cat, the videos etc. Through your blogs we have learnt many things for which we were not aware of. I used always think that how come the white nations were well developed and our country which was rich became very poor. Through your blogs I got to know that Rothschild stole our Indian gold and made our country very poor I feel pained and angry to hear. I used to think why Kerala was called the God’s own Country. By reading your blogs got to know the essence of Kerala where this land actually produced lot of scholars and rishis in India. This makes us feel proud that our country was the mother of all civilizations across the globe practicing Hinduism. (Never heard of Peru, Inca civilizations, Rome, Greek, pagan civilization etc… ) Now that you are here guruji, we are confident that nobody can shake our Country. My husband always used say that “money that is stolen cannot stay for long and make one happy”
    Thank you for everything and posting our comments. Love you always :-)




    jimihndrxguitar  April 14, 2020 at 12:08 AM
    The above mentioned social media platforms works for the Deep State (we all know who is the real deep state)

    In this 'Information Age', control and relay of informations is every thing. These days without even firing a bullet a war can be won. Just you have to control the Media and set the Narratives according to your agenda.

    The Deep State bans the word 'Vadakayil' because they dont want the real hard hitting Truths to be known to the Mankind and they also deeply lack integrity out of sheer jealousness.

    I want to dedicate the following first line of the dialouge of Jack Nicholson that he delivered in the Movie 'A Few Good Men' to the Deep State controlled Social Media platforms:

    https://www.youtube.com/watch?v=futzi-bYW0E





    dinesh loves india  April 13, 2020 at 11:47 PM
    Individuals leading these western MNCs are handpicked bcoz they toe their master's line for a fat paycheck.
    Selfish masters who have so far controlled the world narrative, to their own advantage.
    They know that they are greedy, immoral and lack integrity.
    Since you have kickstarted a silent revolution by awakening sleeping lost souls, they are pissed off at you.
    Singlehandedly, u are removing the blindfold of deception, which they took centuries to put in the first place.
    Hence "vadakayil" is banned




    Savithur  April 13, 2020 at 11:03 PM
    My Dear Captain
    The great Maharishi Adi Shankara as revealed by is 12 strand DNA, our dear captain is a man of perception, honour and great courage and a man on a mission in this present kaliyug. You exhumed truth and made tremendous and startling revelations which shook the foundation itself and discarded the conventional beliefs and limitations. You are bowed for this mighty contribution for this land of Bharatha and its people. You are the man who gave introduction an introduction in itself...you are showing millions the path to self discovery and self intution ..and leading the great nation to its past glory..Hail our dear captain, Pranams.(pstt captain is having damn lots of preception and loves his beers) Gratitudes.





    RVK  April 13, 2020 at 10:47 PM
    Dear Capt Its lack of integrity with ego , even if they know what you reveal is truth, don't want to accept it.Also they don't want normal people to come out of their established lies.They want to enslave people's soul by all means of deceit but you are freeing it from the chains.The gift of Sanatana Dharma is freedom of Soul, which you are guiding us.With Gratitude RVK




    DHARMAPADA  April 13, 2020 at 10:19 PM
    Yesterday there was a debate on Republic TV.
    Republic TV Sunday afternoon debate & all damn points that Arnab Goswami was raising is from Ajit Sir's Blog.
    Arnab attacked "The Wire" Editor Siddharth Vardarajan.
    Arnab attacked indirectly to B!tch Kiran Mazumdar Shaw who is hell bent to not make Corona testing free of cost inspite of govt of India assuring reimbursement to pvt players who need to presently do free testing & buy testing kits on credit.
    Miss.Shaw has gone extra length to predict that this many lakhs of Corona patients will be the count after some weeks.
    Arnab just slayed Miss.Shaw the B!tch.

    What Smita Prakash was saying is from this blog & so were other panelist in support of Modi govt.
    Most point raised is from this blog, else we won't find them anywhere else.




    wolf pack  April 13, 2020 at 10:15 PM
    Happy Vishu, Tamil new year to Captain and all readers.

    I was browsing various topics during semester holidays. There I came across your male menopause blog.

    Your unorthodox style of writing attracted my attention. This style such was linking science topic like menopause with pharma, world politics & amazing one liners in capital letters & peppering relevant pictures with amazing captions & finishing with a sanskrit video with caption Grace and peace and lastly your photo in uniform.

    I usually like persons who dont care about political correctness when telling truth.

    And you had put that you will not sacrifice truth for the sake of political correctness in your profile.

    Honestly your profile description made me to dive deeply into your blogs




    Munna  April 13, 2020 at 9:11 PM
    modi has severe inferiority complex & will never allow or choose anyone who will definitely outshine him. if ever captain joins modi, for modi it will be signing a death sentence for all the praise & limelight he got during his life time. modi will look like a narcissistic retard when compared to captain.

    trump is a typical businessman cum con artist. he used captain & wikileaks to get elected & now he is showing his true colors. he only uses suggestions that benefit him not america. if he implemented even 5% of suggestions from this blogsite usa & the whole planet would have been in a better place.

    president duterte deserves all the praise he got from captain. captain never exaggerates.




    Subhash Rao  April 13, 2020 at 9:03 PM
    Dear Captain,

    In my opinion, it starts with their ignorance. Then as they read further, if they are able to fathom the truth, they go into denial. Then comes shame/guilt. Followed by a complete lack of ability to see how life can change if they start seeing things subjectively. It ends with them coiling back into their shell of ignorance.(But their superiority complex has now taken a irreversible beating deep inside).
    ...just my 2 cents.





    Buddha Zorba  April 13, 2020 at 9:05 PM
    The evil human quality is plain jealousy, I think. When an individual counts someone elses blessing rather than his, he burns himself internally. In that rage he loses both character and integrity. Basically crab mentality, pulling the other crab down so he doesn't get free from the bucket and save his own life.

    rather than focusing on own growth, focus on downfall of someone else, so his downfall ll keep me away from thinking about my own misery of not growing.

    So if i don't grow someone else has no right to grow mentality.

    So white man is scared that if Indians get spiritually powerful which is their birth right. They ll lose all the deception of the world. All this fake game they had created, minting money out of thin air will be called bluff. Jew will have to work hard to make money, which they don't want.

    It is a simple thought. If anyone in my community grows, the whole community grows directly or indirectly. I alone am responsible for my growth. Life may seem unfair as two person with same situation and same effort doesn't bear the same fruit, as the law of karma is not factored in.

    Humans work in a community or collectively as when consciousness works together there is a compounding effect and overall vibration of the community rises. So when individuals think selfishly and just want things for free, the commuinuty gets effected.

    This is what they did with caste system. When brahmins being think tanks are shown as lazy and not working as hard as a shurdra who does his karma with hard work, this is unfair comparison. The brahmin is working much harder collectively for the community and individually, even for the good of the shudhra. Today all the think tanks for being under appreciated have gone abroad and are working for the white man.
    This is all a strategic plot, so the white man lays easy and mints money from thin air.

    jealousy is a personal hate taken out on the other person for not growing the self.
    so jealousy is the root cause of lack of character and integrity.
    Jealous person wants to be the center of the universe or actually thinks is the center of the universe. When a "nice guy" doesn't get a girl and a alpha male gets a girl, "nice guy" gets jealous. He thinks his niceness is what he has to offer the world and the girl. But that niceness is manipulative and deceptive




    A K JANGRA  April 13, 2020 at 9:04 PM
    capt. i say from bottom of my heart when i read your blog i feel i am traveling in entire universe. sometimes i feels i m in kerala & after a while i feel i m in USA & so on.. 🤣

    we can get all type stuff like leadership & management, world geo politics & real world history only on this blogsite.

    Thanks for awaken the consciousness of this planet.




    Alupa Raaja  April 13, 2020 at 8:58 PM
    Namaskaara!_/\_
    These colorless cockroaches have this "i shall control these lesser beings and the world" complex in them and they believe that they are smarter and intelligent and that they can fool and mislead all at all times. They even wrote a holy book for themselves to support this superiority complex. This is the problem when beggars become uber rich. Now they are afraid that you are puncturing them wholesale and thus using their influence to block you on fb, t, google, paid media, sold out "intellectuals, liberals, celebrities," etc.
    They still don't realize that you connect to the soul - unlike their political style of counting heads of useful idiots.
    _/\_Alupa Raaja




    Bala  April 13, 2020 at 8:50 PM
    Pranams captain ji
    Happy Vishu wishes to you captain, your family and extended family of dear readers.
    Request you to keep advising regarding the procedure of easing lockdown period to the Indian govt. I will also go to the extent of requesting you to mention the DOs and DONTs, even like school / college re-opening an whether when exams to be conducted. Because the Govt Advisory committee in Karnataka had recommended roughly 50% of staff can be asked to come to work, depending upon the need and non-AC shops may be allowed to operate. Virus termination first or Economy revival.

    I think they are seriously reading your expert perceptive views captain
    Away from this topic, I accidently happened to come into your blog site during 2010 and it was love at first sight. My first post read was on DNA (NASA) and Surya Namaskar. Then it was no turning back. Every word of your post I like to savour, allow the taste to linger in my mind and I come back for more. It is Addiction in a sense. Every time I read the same post, it looks different to me from what I read earlier. Each sentence is embedded with profound meaning and each time I read, my understanding is changing for the better. And the jokes in between are hilarious, the style of presentation is unique. Sorry to post long comments.
    Thanks again captain ji and family. India and the world in general needs you most at this time to come out of this Corona virus. I hope the dust settles soon and countries start recovering.
    Pranams Bala




    Ankit Mishra  November 17, 2019 at 2:36 PM
    Now seeing you back here again will get us REM sleep.
    Missed you a lot capt.





    Unknown  November 19, 2019 at 10:14 AM
    Dear Captainji,

    So glad to finally hear from you, Sir and that you are doing fine.

    We all missed you and were worried about you, Sir.

    Thank you, Sir. Love you.

    Regards,
    Bunga





    Harsh Vardhan Sharma  November 14, 2019 at 11:31 AM
    Pranaam Dear Captain!!
    Thanks For Being here !!LUV YOU!!





    PRASAD  November 14, 2019 at 1:06 PM
    My dear Captain,

    Welcome back, we miss you very much...Captain

    with gratitude
    Prasad gopalan





    hm0  November 14, 2019 at 1:38 PM
    Welcome back Captain!
    Very glad to see you after so many days!
    Regards,
    Hari
    HemaV
    Namaste Sir
    I guessed it right Sir.
    When you mentioned "WATCH THIS SPACE.. I MAY BE RE-LIVING A TERRIBLE STORY." I guessed you were taking time out and I was reading your old blogs to keep up my spirit.Words are not enough to express the good you are showing.
    Gratitude
    Hema






    PRIYADARSHAN SIRAS  November 14, 2019 at 2:41 PM
    RESPECTED CAPTAIN, AJIT VADAKAYIL SIR, Nice to see you back. I was really worried. Even my friend SHASHANK PALAMWAR (AFRICA - Originally from Nagpur, Maharashtra) was worried too. We kept on visiting blog. missed you. Thank God, you are back. wish you and your family long & Successful life.

    AnonymousNovember 14, 2019 at 11:04 PM
    Respected Sir,

    It is nice to see you back.
    Thanking You
    Sarada




    Shailender Parmar  October 20, 2019 at 9:14 PM
    Guruji Pranaam,

    You can curse us , but dont leave us this way, i am very much attached to you, you have enlighten my life in every way, i have a family my more time goes there, whenever i get time i try to share your thoughts as much as possible....i request you to come back....


    Charansparsh,

    Shailender Parmar






    Unknown  April 14, 2020 at 5:00 AM
    Namaste Captain
    You were absolutely right when you said "telling the truth is a thankless job",
    I've showed my Dad the links to a potential food shortage due in the west where subsistence farming is a thing of the past. Instead of reading into it my father would rather appear like a good "christian" and prayed aalll night Sunday really just talking to other would be pious Christian's. Completely ignoring the fact that every other year it was about some rabbit. Completely ignoring the links I sent him that glorify our once great south American Danava culture which was exterminated and enslaved by the very same christians. After sending the message out and linking people to your page I feel very little negativity in me, I feel that I'm doing my duty to this fake watan of america and innocent lives but I still would love to know how do you put up with this "what's in it for me?" slave mentality...any mantras to keep me in the fight? Haha
    As always Grace and Peace and a Happy Vishu,
    I hope I can start a family and restore our once greag Danava culture and forever cast off these cowardly and ultimately selfish tatuu chains.
    -Danava Joel




    Rajesh Rawat  October 21, 2019 at 4:13 AM
    Hi Captain,

    Hope you are doing well. I also hope you're resting well in your break

    My twitter account got blocked after posting NASA and Sabarimala information to media in kerala and MPs.

    Will use my backup account to send the info



    Shailender Parmar  October 23, 2019 at 9:53 PM
    Guruji Pranaam,

    Where have you gone suddenly, we all need you , bharatmata needs you , we all request you to come to blog , celebrate DIWALI with us.



    Regards,

    Shailender Parmar




    Karthik Sankaran  October 24, 2019 at 9:03 AM
    Capt. are you alright? Looking forward for next campaign...




    संदीप  November 4, 2019 at 11:38 AM
    Respected Sir

    Please let us know how are you,it has been long, we last got your valuable guidance and knowledge from you.
    Your absence is worrying now

    Best wishes n regards




    charishma  October 26, 2019 at 10:24 AM
    https://www.thehindu.com/opinion/op-ed/putin-takes-centre-stage-in-syria/article29789785.ece

    Putin has acknowledged your message that turkey is a seat of deep state.   In deal over buffer zone he insisted for joint patrol of Russian forces with Turkish forces along the buffer zone...
    Where is our chanakya who is assisting trump and putin in dealing with the deep state?




    Rishi Kesariya  November 9, 2019 at 3:07 PM
    Sir,

    We Hindus have had our biggest victory since centuries. On this occasion please start blogging and come back sir.

    Jai Jai Shree Ram!

    Regards




    Madhubabu Ch November 18, 2019 at 10:12 PM
    Sir, Many readers might not have shown their genuine concern by writing to you while you stopped blogging... But there are readers who wished for your safety in their heart and just wanted you to enjoy your personal life for some time and come back for us again..I think they just did not want to disturb you...



    Capt. Ajit Vadakayil  December 6, 2019 at 5:20 PM
    SOMEBODY ASKED ME

    CAPTAIN, WHY DID DOUGLAS COE ( FAMILY/ FELLOWSHIP/ PRAYER BREAKFAST ) COME TO INDIA, WHEN HE TOOK HIS PHOTO IN FRONT OF THE TAJ..

    HE CAME TO GIVE FODDER TO THE DRAFT OF THE "COMMUNAL VIOLENCE BILL "  WHICH WAS BEING SPONSORED BY THE NAC.. TO SCREW HINDUS AND THROW THEM INTO JAIL WITHOUT BAIL..

    DOUG COE HAS ALREADY APPLIED THIS ALL OVER EUROPE TO PROTECT THE JEWS AND DECLARE THEM AS PROTECTED SPECIES..

    I WILL PUT A SEPARATE PORT ON THE FOUL AGENDA OF NAC , WHERE A ITALIAN MAINO WAITRESS BECAME EMPRESS...

    WE NEED ALL ANTI-HINDU MEMBERS OF NAC TO BE TRIED FOR SEDITION..AND THIS INCLUDES FOREIGN PAYROLL COLLEGIUM JUDICIARY WHO SUPPORTED IT FROM THE SHADOWS ..

    https://ajitvadakayil.blogspot.com/2019/12/national-prayer-breakfast-where-jesus.html

    capt ajit vadakayil

    ..




    Shankar  October 24, 2019 at 9:30 PM
    Sir,
    I saw your comment just today. I have been spreading your teachings and revelations to my family, friends and acquantances. I am not on whatsapp, linkedin etc. though there is a lot of pressure at work as I am against joining social media. I am only on email and have an old nokia feature phone. Please do not be angry with me as I am not coming here for free reading. You have opened my eyes and I now see through many false prophets and the depth of conspiracy against India and this reflects through all my interactions. Sir, please do not be angry with me.
    With Love,
    Shankar.




    Ramas  October 21, 2019 at 6:51 PM
    This blog site has changed my life in multiplal ways. I was a dog man all mt life. This blog made me aware about cats . I changed my approach towards cats. Earlier i used to shoo them away as soon as i saw them. Once a cat cameto my room and started rubbing against me but i did not encourage and it went on.
    Capt inspired me to change my outlook towards Cats.
    A female cat started visiting my house. Instead of shooing off i started ignoring the cats presence. The cat usually used my house as a transit way. This went on for months. The cat used to appear on my room window, then cross the room and out through stairs. I used to completely ignore the cat to make her comfortable during her passage.

    I was pleasently surprised when i discovered new born kittens in one corner of my room used as storage one day. I came back to my chair and just then the cat came back and after eyeing me for a minute went to her kittens. After feeding them she went out of the room before eyeing me one more time.
    This became routine until she shifted the 5 of them one by one to my neighbours after 15 days.
    Cats in india takes her kitten to 6 different houses over 3 months or so . By this time the kitten grow up to be not dependent on the cat.
    The cat after her 6th house came back to myhouse with the remaining 2 male kittens.
    Then she disappeared from the colony altogether. Out of the two the bigger brother too went off after a few days.

    The second kitten remained. He is still living here. He goes out on his rounds in the neighbourhood. He comes back to sleep on our sofa. I feed him fish.
    He gives me great joy and has become popular in the neighbourhood too.

    He is six months old now. He follows me when i come out of my house. He tries to scare the dogs of the area and getting more confident by the day.

    The kittens Dad is a ginger tom cat. He is the main male cat of the area.
    He knows that they are his children. He used to visit them since they were with the mother.
    The bigger kitten also lives nearby and he scares the resident kitten whenever he comes .
    The dad also comes to visit. He is notthat afraid of his dad as much as his brother. His dad talks with him usually in their language. Today i saw him trying to scare his dad who was very patient.
    I am enjoying the company of a cat. I have graduated to cats from dogs thank to Captain Gji.
    I constantly worry about the cat as his brother living nearby is naturally stronger from birth and his instincts more cat like. He was the one who was friendly with me originally before he went off leaving the smaller bro behind.
    I never interfere when he come and intimidates my cat. I never interfere when his dad comes and my cat hides from him.
    I also do not interfere usually in his stand offs with dogs outside.
    I wish a good future for all Cats and animals.





    Shriram hegde  October 21, 2019 at 8:19 PM
    Dear Sir,

    It has been four days, no blogging no comments. Are you traveling? is your health OK? Bit scared. You have a legitimate reasons to be upset over readers. But please do not punish everybody. Nobody can do what you have done for this great country of ours. God knows your hard work for Bharatmata, may god bless your family and our country. My humble gratitude to you as your pupil. Please forgive me if i did something wrong all these years.

    Only person who knows about Sanathan dharma and the deep state is you. If you don't do it, truth will sink forever. All these babus in ministries, MSM or in social media reading the blogs, they are just hiding from you. They all are hiding from the truth. At least future generations may realize the truth.

    There are many readers sending your messages. You may give clear instructions to all Indian readers. I don't know what to say. You know everything sir. Request you to please come back.

    Love and Gratitude.




    RN Murthy  October 22, 2019 at 11:13 AM
    Dear Capt Ajit sir,

    Pls come back online, we need you to inspire billions to be on the path of consciousness and awaken the entire world....Kalki effect is on....you are our real Danava hero :-)




    Amardeep Singh Mann  October 23, 2019 at 2:28 PM
    Hello Captain,

    I hope you are well.

    We have not heard from you for a few days and wondering if all is well?

    Please let us know.

    Kind regards,



    Paadi  October 27, 2019 at 11:03 PM
    Dear Captain,

    Wish you and your family Happy Deepavali.

    Your decision to stay offline bothers. You have crossed the dangers that no one sees and you have reached the heights of blogging that no one reaches.Your anger for not seeing enough changes in the administration is reasonable. But the readership of 1.02 billion will not be a waste. Ultimately truth finds its way and lights the hearts. I sincerely wish you end your silence.
    I thought you stayed offline due to elections not to influence any party but even after the results, you were silent. If you are vacating, I wish you and your family good time but please say hai to your waiting readers.

    Regards..



    Rakesh Prattipati  October 2, 2019 at 8:43 AM
    Dear Captain,

    Janmadina shubhakanshalu to you from my me and my family. We pray Bhagavan to endow you with abundant good health to continue this maha yagna.
    Thank you for enlightening us , moulding our minds. We feel very privileged to be part of your silent revolution. May you be the guiding light for all the souls who find their way to this blog.



    Sushant  October 2, 2019 at 8:44 AM
    Happy Birthday to You!! Your birth is no less than a divine blessing to Humanity especially to the once self loathing Hindu Indian! 🙏🙏




    Aiswarya r  October 2, 2019 at 9:34 AM
    Happy birthday captainji!

    Thank you for all the knowledge and wisdom you bestow on us!




    Samvid  October 2, 2019 at 9:36 AM
    Happy BirthdAY to our Beloved Captain Ajit Vadakayil....
    Hope one day the mission of your Blog will succeed, and our longing for God Kalki gets fulfilled..
    Many many Happy returns of the day.
    May GOd Give you a healthy wealthy and successful life ahead.
    Yours Sincerely,
    Samvid



    Sailee  October 2, 2019 at 11:09 AM
    Happiest Birthday Wishes Captain..!!

    You are the true Father of India; I aspire to be the ‘Vadakayil’ of everything i pursue.
    Your words are now my inner voice, lending direction, faith & purpose. I will strive to make Bharat poison-free in whatever way i am capable of.
    Thank you for being there for me in bad times, forever grateful for all your guidance.

    May your family be blessed with ever-increasing bliss. Namaskar to your wife too, she is my role model in everything concerning feminity.

    Thank you Captain, have an awesome day!



    Ranjeet pillai  October 2, 2019 at 11:12 AM
    Dear Sir,
    Many many happy returns of the day.
    Wish the almighty give you many more years of happiness, health and you continue to inspire the world.




    Ajit Vadakayil  October 2, 2019 at 11:51 AM

    MY ELDER SON HAS INHERITED MY BRAINS . MATH MAKES HIM DROOL..

    MY YOUNGER SON HAS INHERITED MY STRENGTH AND CREATIVE ART ( NOT SINGING ) .. HE IS A GENTLE SOUL WITH ZERO EGO.. HE HATES NUMBERS ..

    ONCE MY MOTHER GOT UPSET WITH ME AND SAID -- IF GOD HAD GIVEN YOU SOME MORE HEIGHT , YOU WOULD HAVE BEEN LIKE THE UNICORN ( HORSE WITH SINGLE POINTED HORN )..

    I SAID DOES NOT MATTER -- AS I HAS JUST WON THE HIGH JUMP PRIZE ( FIRST ) AT THE SCHOOL ATHLETIC CHAMPIONSHIP.. I COULD JUMP MUCH OVER MY HEIGHT ..




    vikramaditya   October 2, 2019 at 12:24 PM
    Guruji,
    Looks like you have shed a lot of pounds too..... if it had not been your birthday today our mood would have been depressed because of that gujju no 1.



    Vin  October 2, 2019 at 2:54 PM
    Wish you a very happy birthday fatherly Ajit ji. I was just reading today's Chevar - Kerala blog, though I have not finished the whole. The way you have been explaining our ancient Sanskrit vedas, upnishads or mantras, sometimes I literally get tears with joy & happiness. You are literally quenching my thirst since childhood to correctly understand our profound heritage knowledge. May You Always Be Blessed. I am seeking blessing for you from the God.


    Milind TamoreOctober 2, 2019 at 3:22 PM
    जन्मदिनमिदम्अयिप्रियगुरो
    शंतनोतुहिसर्वदामुदम्

    प्रार्थयामहेभवशतायु:
    ईश्वर: सदात्वाम्रक्षतु

    पुण्यकर्मणाकीर्तिमर्जय
    जीवनम्तवभवतुसार्थकम्।

    Wish you very Happy Birthday.

    Today, India celebrates Gandhi Jayanti out of ignorance. Days are not far when we people will take down all of his statues and strip his names from all roads. Currency will be free from his images.

    Social media is very active today. Most of the awakened youngsters disowning Gandhi, rather remembering Great Lal Bahadur Shastri.


    Time will come soon, when India will remember Captain Ajit Vadakayil on this day.






    ZIKALE  October 2, 2019 at 4:09 PM
    जन्मदिनकीशुभकामना..

    Happy birthday guruji..

    I have wish to touch your feet once in my life...

    I kept chanakya as father of Nation on DP.😀

    Mandar




    Amrita L  October 2, 2019 at 4:20 PM
    Today we’re not counting years, wrinkles or gray hairs; rather, today we’re counting blessings. We’re so blessed to have you in our lives.
    Wish you a very happy birthday!
    Amrita




    Krish  October 2, 2019 at 2:35 PM
    Dear Captain

    Wish you a very happy Birthday🙏🏻

    For me, you have contributed more than Gandhi...

    2nd October for me will always be Ajit Vadakayil day.

    I will pass on your revelations to my daughters also... so that they also remember you on every 2nd October...


    With Respect and Love
    K




    Raktim M  October 2, 2019 at 5:43 PM
    Gurudev

    Godse Amar Rahe is trending at top spot on twitter , hehehe ...

    Takla Duratma Gandhi has been thrown into the dustbins .

    U did it single handedly .

    All Rothschild traitors needs to be shown its proper place , Way to go Patriots !

    Pranam




    Capt. Ajit Vadakayil  October 2, 2019 at 5:47 PM
    WHO KILLED BITCOIN BLOCKCHAIN?

    WHO KILLED MARX/ LENIN/ STALIN. ENGELS ?

    WHO KILLED HUMPLESS COWS WHICH GIVER TOXIC A1 MILK?

    WHO KILLED CHEMICAL FERTILISER FARMING?

    WHO KILLED ROTHSCHILDs HISTORIANS ?

    WHO KILLED MOTHER TERESA?

    WHO KILLED THE SWAGGER OF PARSI/ MARWARI DRUG RUNNERS DESCENDANTS ?

    ETC ETC --THIS LIST RUNS MORE THAN 500

    THIS CAN ONLY BE ACHIEVED BY SILENT REVOLUTION..




    Raktim M  October 2, 2019 at 6:02 PM
    Gurudev

    All desh drohis will be screwed and as truly said by u will meet their WaterLoo in ur blogsite !

    Today is a very happy day , used to hate this 2nd October holiday .

    Pranam



    Ranjeet  October 2, 2019 at 7:46 PM

    With you around, there is so much positivity and happiness in the air. Wishing a very happy birthday to the amazing person in the world.


    1. HEY SUHEL SETH...

      EKDUM CHENGA KHABBAR...

      THANK GOD BRITISH INVADED INDIA...

      https://www.youtube.com/watch?v=hNwPD0I5Tms

      BECAUSE OF WHICH PAGALIKA BABY WAS ABLE TO GET EASTER EGGS ON GOOD FRIDAY..

      SHE ATE THE EGGS EKATTA WITH RANA AYYUB..

      YELLOW JOURNALISM RUNS IN RANA BABYs BLOOD... HER FATHER WAS MENTORED BY RK KARANJA AT BLITZ..

      https://ajitvadakayil.blogspot.com/2020/04/the-dirty-secrets-of-easter-holiday.html

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF--
        POPE
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON ANGELA MERKEL
        AMBASSADORS TO FROM USA/ RUSSIA/ US/ FRANCE GERMANY
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        THE QUINT
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        NIVEDITA MENON
        AYESHA KIDWAI
        MAJOR WORLD MEDIA

        SPREAD ON SOCIAL MEDIA




    Rajesh Maurya  April 14, 2020 at 6:52 AM
    Pranaam CaptainSri,

    Heartiest Vishu Wishes to All.

    This blogsite exists to save this planet by exhuming the truth and enlightening the denizens of this planet. The master of this site is pioneering and leading a Dharmayuddha called silent revolution.

    On the other hand the master of facebook/quora/twitter etc is trying to save his domain and continue his rule through deception, burying the truth and converting the day to night.

    Whatever the Evil Forces want to conceal, this blogsite reveals.

    Both are opposite poles. One is siding with Dharma another is on the path of Adharma.

    Individuals working for quora, twitter, google, facebook are paid slaves of Deceptors of this planet. .. Their loyalty must be with their master else they will get fired.

    If the unpaid and willing soldiers of this site which is on the side of Dharma.....even after getting timely Prasadam (scolding) are upholding their side as they have resolved.... Why cant those paid contractual slaves who have sold their soul and consciousness to their master. They may have fear of losing their lives too. Theyare not the soldiers of their free will but paid slaves, they must obey the directions. Paid slaves who have sold their soul, lack everything not only integrity, character and fairness.

    This is ingrained in their DNA based on their past life karmas. People knowing this blogsite not acknowledging or neglecting deliberately are a particular type of creatures with something ingrained in their genome.

    Imagine how many people sitting on important posts got the messsges of this blogsite and never acknowledge, never acted according to suggestions.

    Everything is rooted in genome/DNA based on their past karmas.....which decides the orientation of person.

    A poor person may not be resorting to theft though he needs money. A rich person may be engaged in theft though he does not require money.. It has deep reason.





    Mohit Handa  April 14, 2020 at 6:33 AM
    Happy Vishu to you and Family,

    Ajitji, I have read most of the comments of readers expressing their gratitude. They are praising your knowledge and deeds of exhuming truth.

    Let me express myself
    On this auspicious day, I would like to say that you are this planet's most muffat(Hindi) person.
    And such person is the most truthful one. (sabse sachha insaan)
    He talks straight from the heart. Whether one likes it or not.
    He never minces words.
    Such person never deceives - be it character or anything else.

    If any reader cannot see this, he is BLIND. He is a potential detractor because he can be influenced later.

    We readers cannot be trusted if we are craving for 98% wala revelation.
    We readers cannot be trusted if we value the knowledge more than the person.

    Forget all truth, knowledge you have shared. You have treasured so many old comments.
    Who does that? Hats OFF/Salute/ to you.
    You have shown us selflessness.

    I think the right question is - What is Ajit Vadakayil? and NOT - who is Ajit Vadakayil?

    What I have expressed is not Bhakti, it is Shraddha.




    Vineet  April 14, 2020 at 6:22 AM
    Dear Captain,

    Wish you, your family and all readers a very happy VISHU.

    Most of the websites like quora, twitter and facebook have become a marketing platform to promote services and products in the garb of helping people with information. They completely lack integrity and hide and block all information which is detterent to propagandists, who want to rule their places. My twitter account was also deleted when I posted one of your comments for sharing with authorities.

    The true knowledge imparted by you is tremendous and in reality whole world would feel indebted towards it once reached everyone. The difference shown by you in our culture and the west is threatening for the Western world as it makes them feel too inferior. In terms of celebration, they have nothing apart from vulgar activities. In reality, western lifestyle is completely indoor as the weather is worse all the times.
    I am trying to spread information about nanogold but people are simply ignoring it. I have become so proud of being a Hindu after coming across your blog. There are lot of Hindus who simply consider the west as their superior and just want to be like them in every sense, which really shocks me every time I come across anyone. Even simple things like using copper water for drinking, eating garlic etc makes even desi Indians laugh at me.

    I will keep spreading information shared by you regarding everything you post.

    Regards




    VaronG  April 14, 2020 at 7:05 AM
    Pranaam Gurukirpa
    Happy Vishu to you and your family !! May god bless you ! I am what I am because of you !!
    With utmost gratitude




    Sam  April 14, 2020 at 7:30 AM
    Dear Capt,

    I always wondered why there are 2 systems in hinduism Karma and Heaven/Hell.... till I came across your blog.
    Then I realised how we were duped into believing about Heaven/Hell... Thanks for destroying those lies.

    I always liked one point.. how USA which illtreated Blacks and Chinese for decades lectures India on Human rights.

    As many others have said telling truth is a thankless job...

    It's all thanks for you and your blog

    Sam





    charishma  April 14, 2020 at 7:30 AM
    All these companies google,quora,facebook,twitter...which are owned by jews are mouthpieces of rothschild controlled deep state.The truths you are exhuming are shaking the foundations of rothschild empire that was built on the basis of lies,foul deceit and stealing kerala temple gold.The more you expose the truths the more their evil nature is unfolding.They dont want the world to know their devilish dark side because if world denizens become aware,conscious and uses their conscience,it becomes difficult for deep sate gang to fool and steal more.you are blocking their attempts to steal and bleed world more.

    Rothschild and its deep state gang tasted first defeat with trump election. And the second one when trump pulled the carpet from under the us deep state judiciary. Your role in these defeats is crucial.And the third one and most important one is that you pulled down this deep state puppet cum mental midget greta thunberg and stopped rothschild gang from bleeding the world with carbon taxes.

    The other reasons are:
    -employees of these companies had sold out their souls.best example can be this sundar pichai,an indian.This fellow without any character or integrity has sunk your deep state posts for trump,until he was summoned to trump's office.
    The employees working for these companies are with poor integrity and character just like how all the members in Italian maino waitress party sold out their souls to her when she ruled india via NAC.
    -The other reason can be that you are showing these white skin coloured people that they are real savages ,who are doing grunt grunt when Indians are living a high civilized life.And also you showed them how they patented the stuff by stealing everything from india.
    -yes,another reason is sheer jealousy,not only these bunch of people but all your detractors are so jealous of you.These pea brained idiots cannot make head or tail of how you can write such profoundly on all subjects,everything under the sun.





    Unknown  October 2, 2019 at 8:30 PM
    Happy Birthday Sir.Let all the good things be always with you. Mother Earth is blessed to have a son like you




    A2Z  October 2, 2019 at 8:31 PM
    Happy birthday to you Sir.
    May you live a 100 years & keep.enlightening us with your knowledge and wisdom.

    The best thing is that you are doing a very unselfish act by not earning through blogging. May God give you strength always.




    gopireddy  October 2, 2019 at 9:03 PM
    Dear Captain,
    Wish you a very happy birthday. You guided us from darkness to light. Thanks for being all the way with us. God bless you and your family health wealth, joy and peace




    Ishana  October 2, 2019 at 9:08 PM
    Respected Captain, Happy Birthday and Many Jappy Returns of the Day!! May you be blessed with Grace and Peace always!




    Anurag Malhotra  October 2, 2019 at 9:22 PM
    Sir, As a gratitude, I know each reader would like to gift you one month of his / her life. HAPPY BIRTHDAY... LIVE LONG.... This planet needs rare person like you.




    Thyaga  October 2, 2019 at 9:50 PM
    Dear Captain ji,

    Wish you a very happy birthday ji.. May God bless with you with health and happiness to serve Bharatmata more.

    I am a Tamil and I hate psuedo pride groups and I also tell my friends how they call Chera kingdom is Tamil whereas culture/ language / food /dresings and customs are totally different from Tamil? With BJP want to get a foothold into TN, they are in appeasement mode to get emotional Tamil voters in their side.

    Thanks
    Thyaga



    Vrundav  October 4, 2019 at 9:56 PM
    Belated Happy Birthday my guru, my teacher, my ultimate source of knowledge who helped me open my eyes and see through the veil of maya

    God bless you




    Trinity  October 3, 2019 at 4:46 PM
    Respected Sir,
    Pardon my ignorance but are soul and consciousness one and the same.
    Thank you


    Capt. Ajit Vadakayil  October 3, 2019 at 5:05 PM

    AKKA RAMAYAN PADA

    PHIR POOCHTA HAI-- RAM AUR RAVAN EK HEE BANDHA HAI KYA?

    SOUL IS A BALL OF ENERGY WITHIN YOU.   IT IS PART OF BRAHMAN AT LOWER FREQUENCY..   BRAHMAN IS ALSO KNOWS AS THE MORPHOGENETIC FIELD OF CONSCIOUSNESS ..


    HUMAN CONSCIOUSNESS IS WHY WE ARE ABLE TO SEE OURSELVES IN THE MIRROR AND SEE COLOUR.. UNLIKE LOWER SPECIES LIKE ANIMALS AND BIRDS.    

    ONLY HUMANS CAN DO SWADHAYA OR CONTEMPLATION..    

    WE CAN TAKE SUBJECTIVE DECISIONS APPROVED BY OUR CONSCIENCE ..




    MRM  October 4, 2019 at 9:06 AM
    BRAHMAN is the source of SOUL, but the question is but what is the source of CONSCIOUSNESS - Captain?

    Is it the SAVITUR - the primordial source?
    .

    Capt. Ajit Vadakayil  October 4, 2019 at 9:50 AM
    MAHARISHIS PENNED DOWN WHAT IS CONSCIOUSNESS 7000 YEARS AGO, WHEN THE WHITE MAN WAS DOING GRUNT GRUNT FOR LANGUAGE ..

    PRIMORDIAL SAVITUR WITH THE BRILLIANCE OF A TRILLION SUNS IS THE PRIMORDIAL SOURCE – THE SUBSTRATUM OF THE COSMOS.

    SAVITUR IS THE SOURCE OF PRANA ..

    THE HIGHER YOUR SOUL FREQUENCY –THE MORE CONSCIOUS YOU ARE.

    THE SOUL OF A LIBERATED SAGE ( JIVANMUKT ) , IS OF HIGHEST FREQUENCY SAME AS THE FIELD OF BRAHMAN..

    A JIVANMUKTs KARMIC BAGGAGE IS ZERO.. HE HAS ZERO EGO.. SUCH A GURU’S ACTIONS ARE COSMIC MOVEMENTS AND NOT THE INSTINCTS OF THE SENSE OF EGOISM.

    A JIVANMUKT CAN ACCESS AKASHIK RECORDS .. EVERY ANCIENT MAHARISHI WAS A JIVAN MUKT.. THEY DOWNLOADED THE VEDA SRUTIS FROM AKASHA ..

    A JIVAN MUKT IS IN THE TURIYA STATE .. IN THE SYMBOL OF OM TURIYA IS REPRESENTED BY THE DOT. IN TURIYA THERE IS THE ABSOLUTE AWARENESS. A JIVAN MUKT IS NOT AFFECTED BY MAYA.. HE CAN SEE BEYOND THE QUANTUM VEIL OF MAYA.. .

    THE JIVAN MUKTAs SOUL HAS MERGED WITH THE MOTHER FIELD OF BRAHMAN WHILE ALIVE ON PLANET EARTH..

    THE JIVANMUKHT DOES NOT NEED TO THINK .. HIS BRAIN DOES SPHOTA— WHICH IS CONSCIOUSNESS MINUS THINKING

    OUR CONSCIOUSNESS IS A COSMIC DVD PLAYER. CONSCIOUSNESS BECOMES ENERGY AND THEN TRANSFORMS TO MATTER.

    CONSCIOUSNESS IS THE CREATIVE FORCE OF THE ENTIRE UNIVERSE. THE ENTIRE UNIVERSE IS IN FACT A SINGLE LIVING CONSCIOUS ORGANISM WITH COMPLETE AWARENESS OF ITSELF.

    NOT ONLY IS CONSCIOUSNESS RESPONSIBLE FOR THE PHYSICAL UNIVERSE AND ITS ELEMENTS-- IT IS THE UNIVERSE. THE FIELD OF CONSCIOUSNESS CONTAINS INFORMATION ABOUT EVERYTHING THAT HAS HAPPENED SINCE THE DAWN OF TIME.

    OUR BODIES ARE PIEZO-ELECTRIC BIO-CRYSTALS, RESONANT TRANSDUCERS OF LIVING LIGHT AND LIFE FORCE. WE HAVE UNLIMITED ACCESS TO THE RADIANT FIELD OF CONSCIOUSNESS WHICH IS INFINITE ACTIVE UNIVERSAL INTELLIGENCE.

    IN THE TWO-SLIT EXPERIMENT, IF THE PHYSICIST LOOKS FOR A PARTICLE (USES A PARTICLE DETECTOR), HE WILL FIND A PARTICLE; IF HE LOOKS FOR A WAVE (USES A SCREEN), HE WILL SEE A WAVE PATTERN BEFORE HIM.

    PHYSICAL OBJECTS ONLY "APPEAR" DUE TO THE COLLAPSE OF THEIR PROBABILITY WAVES BY A CONSCIOUS OBSERVER.

    IT IS IMPOSSIBLE TO KNOW BOTH THE POSITION AND MOMENTUM OF A QUANTUM OBJECT. WHEN ONE MEASURES THE POSITION OF AN ELECTRON IT WILL DESTROY INFORMATION ABOUT THE ELECTRONS MOMENTUM; YOUR OBSERVATION DISTURBS IT . ALL THIS IS LIFTED FROM THE VEDAS..

    YOU EXPECT IDIOTS LIKE EVR PERIYAR AND BR AMBEDKAR OR FOR THE MATTER , THE WHITE MAN WITH A SHALLOW MIND , TO UNDERSTAND ALL THIS?

    http://ajitvadakayil.blogspot.com/2017/07/gayatri-mantra-savitr-savitur-saraswati.html

    capt ajit vadakayil

    ..




    laksh  October 2, 2019 at 7:34 AM
    Happy Birthday Sir...Have a prosperous year ahead...Thankyou for the knowledge you share...We are always in awe of your altruistic motive...




    Aditya kamath  October 2, 2019 at 7:59 AM
    Namaste captain,
    Wish you very happy birthday captain. May you live long to exhume more buried truths.
    Hats off to your dedicated efforts to revive the fading sanatan dharma.
    Thank you for everything.

    Gratitude
    Aditya k




    Sambit Dash  October 2, 2019 at 8:20 AM
    Guruji Pranam
    Many many happy returns of the day to you Sir.Wish you and your family are happy and prosperous forever.
    You are the teacher, mentor and guide that everyone desires but few deserve.
    Thank you for all that you have given us.Charan sparsh.
    PS-Sorry to have posted the message here as the comments section in other blogs had crossed 200.




    Cybergeek  October 2, 2019 at 8:25 AM
    Respected Sir,

    On this occasion of your Birthday, may you enjoy good times in the company of family and loved ones!

    No amount of words can express our gratitude to you|| Lucky are the few who get to not only read your blogs but also realize the truth via your mind-blowing revelations!!!

    Wishing you and your dear ones good health and cheer for now and always!!

    - Srinath





    Sudheer  October 2, 2019 at 8:29 AM
    many many happy returns of the day captain ji
    sashtanga pranam _/\_
    you are real son of bharathmata




    Trinity  October 2, 2019 at 8:32 AM
    Dearest Sir,
    Wishing you a very happy birthday sir!!
    May you be blessed with many more fantastic moments to cherish in your life!! may Almighty bless you and your family with the best of everything in life!!May you live long and strong to lead us to Purnam and awaken more and more Indians to be proud of their motherland and their culture!!
    To one of my most favourite person ever🥂🎂🎶️🍰🎊🎊🎊🎉🎉
    Tons of love and gratitude to you and Ma'm!!
    Good day!!




    Rakesh Prattipati  October 2, 2019 at 8:43 AM
    Dear Captain,

    Janmadina shubhakanshalu to you from my me and my family. We pray Bhagavan to endow you with abundant good health to continue this maha yagna.
    Thank you for enlightening us , moulding our minds. We feel very privileged to be part of your silent revolution. May you be the guiding light for all the souls who find their way to this blog.




    Sailee  October 2, 2019 at 11:09 AM
    Happiest Birthday Wishes Captain..!!

    You are the true Father of India; I aspire to be the ‘Vadakayil’ of everything i pursue.
    Your words are now my inner voice, lending direction, faith & purpose. I will strive to make Bharat poison-free in whatever way i am capable of.
    Thank you for being there for me in bad times, forever grateful for all your guidance.

    May your family be blessed with ever-increasing bliss. Namaskar to your wife too, she is my role model in everything concerning feminity.

    Thank you Captain, have an awesome day!




    Ranjeet pillai  October 2, 2019 at 11:12 AM
    Dear Sir,
    Many many happy returns of the day.
    Wish the almighty give you many more years of happiness, health and you continue to inspire the world.




    Subhash Rao  October 2, 2019 at 12:46 PM
    Dear Cap'n,

    Happy Birthday! Yet another year goes by and the bond grows stronger. Thank you for giving back your divine, inherent gift to the world. More power to humility,simplicity & creativity - more power to you!




    Amardeep Singh Mann  October 2, 2019 at 2:36 PM
    Hello Captain,

    Happy Navratri to you and family, and all deshbhakt Indians!

    Happy Birthday to you also!

    Please keep on guiding us as a leader!




    Vin  October 2, 2019 at 2:54 PM
    Wish you a very happy birthday fatherly Ajit ji. I was just reading today's Chevar - Kerala blog, though I have not finished the whole. The way you have been explaining our ancient Sanskrit vedas, upnishads or mantras, sometimes I literally get tears with joy & happiness. You are literally quenching my thirst since childhood to correctly understand our profound heritage knowledge. May You Always Be Blessed. I am seeking blessing for you from the God.




    Milind Tamore  October 2, 2019 at 3:22 PM
    जन्मदिनमिदम्अयिप्रियगुरो
    शंतनोतुहिसर्वदामुदम्

    प्रार्थयामहेभवशतायु:
    ईश्वर: सदात्वाम्रक्षतु

    पुण्यकर्मणाकीर्तिमर्जय
    जीवनम्तवभवतुसार्थकम्।

    Wish you very Happy Birthday.

    Today, India celebrates Gandhi Jayanti out of ignorance. Days are not far when we people will take down all of his statues and strip his names from all roads. Currency will be free from his images.

    Social media is very active today. Most of the awakened youngsters disowning Gandhi, rather remembering Great Lal Bahadur Shastri.

    Time will come soon, when India will remember Captain Ajit Vadakayil on this day.




    seema  October 2, 2019 at 4:12 PM
    best wishes on your birthday . may god give you strength to be the real son of bharatmata !




    Amrita L  October 2, 2019 at 4:20 PM
    Today we’re not counting years, wrinkles or gray hairs; rather, today we’re counting blessings. We’re so blessed to have you in our lives.
    Wish you a very happy birthday!
    Amrita




    aks  October 2, 2019 at 5:19 PM
    Happy birthday captain
    For us 2nd October is your day.




    Krish  October 2, 2019 at 2:35 PM
    Dear Captain

    Wish you a very happy Birthday🙏🏻

    For me, you have contributed more than Gandhi...

    2nd October for me will always be Ajit Vadakayil day.

    I will pass on your revelations to my daughters also... so that they also remember you on every 2nd October...


    With Respect and Love
    K



    Raktim M  October 2, 2019 at 6:02 PM
    Gurudev

    All desh drohis will be screwed and as truly said by u will meet their WaterLoo in ur blogsite !

    Today is a very happy day , used to hate this 2nd October holiday .

    Pranam




    Ranjeet  October 2, 2019 at 7:46 PM
    With you around, there is so much positivity and happiness in the air. Wishing a very happy birthday to the amazing person in the world.



    Unknown  October 2, 2019 at 8:30 PM
    Happy Birthday Sir.Let all the good things be always with you. Mother Earth is blessed to have a son like you




    RN Murthy  April 14, 2020 at 11:17 AM
    Dear Capt Ajit sir,

    All these google, quora, fb are hammer and tongs with your name and certain blog posts like RIP impossible with burial, Unknown history of sikhs links are not allowed to be posted and one as you pointed out - Aghoris one is sunk and does not show up on search.
    This shows your integrity and character in exposing them and exhuming the truth which they are sheepishly hiding and want to mask the world not to know it...which is 10%.
    But the 90% of the time they get foxed by you hollering at them to look ahead and your beating of the drums to showcase your bindu sphota thinking sharing to the world with lightning strikes is unbearable that too coming from the brown skinned person....
    So, net net your steering of India to catapult to #1 position is even more shocking as their 100 years chess is checkmated with precision and timing.
    India blowing the shankh naad is making them go hay way as of now with Covid-19 flattening and their Agenda-21 falling phutt will make it difficult for them to recover....your advise/directions even though are delayed due to ego issues by Modi....but nevertheless it's respected by people...with now Modi also agreeing to WE THE PEOPLE stance of yours is a clear indicator to that.
    So, we are all grateful to your benevolent showers on us and to the world.



    A2Z  October 2, 2019 at 8:31 PM
    Happy birthday to you Sir.
    May you live a 100 years & keep.enlightening us with your knowledge and wisdom.

    The best thing is that you are doing a very unselfish act by not earning through blogging. May God give you strength always.


    Anurag Malhotra  October 2, 2019 at 9:22 PM
    Sir, As a gratitude, I know each reader would like to gift you one month of his / her life. HAPPY BIRTHDAY... LIVE LONG.... This planet needs rare person like you.

      


    Ramkumar Jayaraman  October 1, 2019 at 10:50 PM
    Respected Captain,

    Namaskaram. Wishing you a happy birthday. Will pray to the mother field to give you more energy. Thank you for giving an opportunity to take part in your silent revolution.

    Also thank you so much for preponing this.
    http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html?m=1
    Have been waiting for this gem.



    RN Murthy  October 1, 2019 at 11:27 PM
    Dear Capt Ajit Sir,

    Pranams to you on this wonderful occasion of your birthday tomorrow..just few mins away.
    Let 2nd Oct be our constant remembrance day of your blogs and acknowledge the sweat of your time/effort with heartfulness which goes to patiently answer each and every query of your readers and most of what humanity wants at that point in time....and your 3D Bindu thinking projections....which are far, far ahead of time....as you disclosed just today about how difficult it was for Calicut King to be called as 'Perumal' - Supreme Warrior once in every 12 years Maha Kumbh fight for valor !!!
    Let thy Valor, strength and honor remain intact and feed us with greater revelations.....in blissful gratitude :-)



    Daamini  October 1, 2019 at 11:35 PM
    Happy Birthday in Advance Captain😊💐🎂 Thank you for everything. Thank you is little word actually to express my gratitude. Am blessed to know about you Am blessed coz I can connected with you through this blog. Hope I ll be blessed to meet you once in my life. Thank you captain pls accept my sincere gratitude which in words I can not explain.




    DHARMAPADA  October 2, 2019 at 12:02 AM
    Dearest and Bestest Ajit Sir,

    A very happy Birthday to you

    You are the most adorable person, so beautiful are your phrases except sometimes when you are angry!!!

    Regards!!!




    Sumish October 2, 2019 at 12:11 AM
    Happy birthday to captain Ajit Vadakayil Sir. Greatest Son and saviour of Bharat Mata.

    Regards,
    Sumish
    (Will always be obliged and thank full)



    Sagar Dev Bhardwaj  October 2, 2019 at 12:20 AM
    Happy birthday Dear Captain.

    Please stay strong and keep guiding us and together all of this blog site family will witness once injured Bharat Maa being a super power and sitting on the throne and ruling and guiding the entire planet in all her glory




    Indianatherat  October 2, 2019 at 1:24 AM
    Dear sir,


    Wishing you a very Happy birthday. God bless you. We are blessed to be associated with you in the path of sanathana dharma.🙏, please continue to bless us and guide us..🙏



    Vyshak Samak  October 2, 2019 at 1:26 AM
    Hello Our's Truly Dear Captain.

    Happy Birthday to you. We realise how fortunate we are each passing day and after each line of your's we read.

    Thank you. Wish you the best. Dhanyavadha Mahodaya.



    SindhuCheraPutra  October 2, 2019 at 1:34 AM
    Dear Capt Ajit ji
    wish you a very happy birthday sir..
    you are paramatama's beloved himself.. laying the foundations for Kalki Avatar..
    so profound.. impact can be felt only by heart.. no words to explain the feeling..
    sir.. best wishes to you and your family on your birthday
    thankyou with regards
    sameer



    Rishab  October 2, 2019 at 1:39 AM
    Happy birthday to you mahoday, jai shree kalki🙏🏻, you have already started a revolutionary bharata and thought us the most important thing in the world - how to use our brains instead of lurking aroung as buffoons! You are the real guru of bharata! Most charming captain who speaks the truth! Who knew truth could be so sweet and not bitter? Ofcourse you!



    Karthikeyan Yelumalai  October 2, 2019 at 5:36 AM
    Pranam Guru Ji
    You're one of the greatest soul indeed the world ever seen.May you be gifted with never ending bliss,Happy Birthday.
    With love
    Karthikeyan Yelumalai



    Shriram hegdeOctober 2, 2019 at 6:26 AM
    Dear Sir,

    Wish you many many happy birthday. Fantastic pictures of great father and son. Your younger son is really a hulk. Thank you very much for your hard work. Thank you very much for your family all the sacrifices they have made. May Brahman bless your family and all their descendants. You are my only Guru. My humble gratitude to you.



    Hadley Dmello  July 16, 2019 at 7:08 AM
    Captain sir , happy guru purNinma
    Thank you for being in our lives with out you would have been living in darkness forever
    Thanks for the blessing


    Reflections  July 16, 2019 at 7:14 AM
    Pranam Guruji,
    Accept my heartfelt gratitude for educating n reeducating the world on critical matters.
    Ever since i bumped into your blog and read the two books ( Animal farm n 1984 by George Orwell),I have understood the world intrigue.
    As a clinician, I was trained in pattern recognition to arrive a diagnosis, but you introduced Vadakayil 3D bindu thinking which has only strengthened my mental ability to distinguish kosher lies from hard truths.
    On this auspicious Guru Purnima, i offer you sincerest gratitude.
    Dhanyabad Guruji and Guru ama. I pray you have a long, happy, peaceful life.




    nami  July 16, 2019 at 7:28 AM
    You are a softie at heart!

    You have given away a cure for endometriosis!


    Best wishes on occasion of Guru Purnima.






    Omkar Padhye  July 16, 2019 at 9:29 AM
    Happy Guru pournima to you and ma'am.
    Thank you for the knowledge and vision which you have instilled in me.




    Sagar Dev Bhardwaj  July 16, 2019 at 11:21 AM
    Pranam Captain

    A very happy Guru Poornima to you Sir..

    We are very privileged to live in your era. Please keep guiding us Sir. And scold us if we don't perform as per your expectation🙏




    Pixar6  July 16, 2019 at 11:47 AM
    Dear Captain,

    Happy Gurupurnima /\ /\ /\

    Thank you for all the guidance, knowledge that you impart and taking our country in the right direction.

    Thanks to Ma'm, who has been your strength in this journey.

    Wishing all your avid readers too, a very happy Gurupurnima.

    Grace & Peace,
    JTA




    Nishant Goyal  July 16, 2019 at 12:12 PM
    Pranaam Guruji and mataji,
    Charan sparsh evm Abhinandan..

    Happy Guru Purnima
    Ohm guruve namah...

    Please bless me and my family and permit me to make your photo frame in my pooja room. And please forgive me if I did mistakes.

    I am very grateful to you.
    Yours faithfully
    Nishant

    ReplyDelete
    Replies

    Capt. Ajit VadakayilJuly 16, 2019 at 12:16 PM
    PERMISSION DENIED




    Nishant Goyal  July 16, 2019 at 12:33 PM
    Ok Guruji

    Please bless me and my parents.

    Thank you.




    chiron  July 16, 2019 at 12:15 PM
    Pranam captain,
    On this day of guru purnima, wish to express the deepest gratitude for enriching and transforming our lives with your knowledge and wisdom.
    You are the true guru.
    Regards
    Chiron




    Bert  July 16, 2019 at 12:39 PM
    Dear Capt Ajit Sir,

    " Happy Guru Purnima "...to the one and only real Guru on this planet!


    Bert



    1. CRITICAL MESSAGE FOR MORONS IN WHO AND US CDC..

      65 MILLION YEARS AGO A SHIVA LINGAM BLACK METeRORITE STONE HIT PLANET EARTH OFF BOMBAY HIGH.

      IT CAUSED DECCAN PLATEAU VOLCANIC UPHEAVALS AND SEVERE FIRES FOR 30,000 YEARS REDUCING THE LEVEL OF OXYGEN IN THE ATMOSPHERE TO 21% ..

      THIS KILLED OF DINOSAURS AND PAVED THE WAY FOR HUMANS TO BE BORN ON EARTH.

      DINAUSARS WITH SMALL WINGS WOUD FLY ONLY BECAUSE OF HIGH OXYGEN CONTENT IN THE ATMOSPHERE

      http://ajitvadakayil.blogspot.com/2019/07/shiva-lingam-meterorite-hit-65-million.html

      CORONAVIRUS DOCTORS ARE USING VENTILATORS THE SAME WAY A RETARDED CHILD WHEN GIVEN A HAMMER, STARTS HITTING EVERYTHING IN SIGHT

      MOST CORONAVIRUS PATIENTS WHO END UP ON VENTILATORS DISHING OUT 100% OXYGEN GO ON TO DIE. THEY WOULD NOT HAVE DIED IF THEY WERE NOT PUT ON THE VENTILATOR
      IN ITALY 90% DEATHS ARE DUE TO AGED PATIENTS WITH FATTY LIVER ( CHEAP WINE ) BEING GIVE PARACETAMOL AND BEING PUT ON THE VENTILATOR

      OXYGEN TOXICITY IS A CONDITION RESULTING FROM THE HARMFUL EFFECTS OF BREATHING MOLECULAR OXYGEN (O2) AT INCREASED PARTIAL PRESSURES. SEVERE CASES CAN RESULT IN CELL DAMAGE AND DEATH

      A VENTILATOR IN A HOSPITAL TAKES OVER THE BODY'S BREATHING PROCESS WHEN DISEASE HAS CAUSED THE LUNGS TO FAIL OR BE WEAK.

      THE AMOUNT OF INHALED AIR CONTAINS 21% OF OXYGEN AND 0.04% OF CARBON DIOXIDE, WHILE THE AIR WE BREATHE OUT CONTAINS 16.4% OF OXYGEN AND 4.4% OF CARBON DIOXIDE.

      THIS IS BECAUSE OUR CELLS USE OXYGEN FROM THE INHALED AIR TO RELEASE ENERGY AND GIVE OUT CARBON DIOXIDE AS A BYPRODUCT. 78% NITROGEN IS NOT ABSORBED BY THE HUMAN BODY..

      NITROGEN HELPS IN PROTEIN SYNTHESIS, AMINO ACIDS THAT INFLUENCE GROWTH, HORMONES, BRAIN FUNCTIONS AND THE IMMUNE SYSTEM

      NITROGEN DISSOLVES INTO YOUR BLOOD THROUGH YOUR LUNGS. NORMALLY, THIS HAS NO EFFECT ON YOU. YOUR BODY DOESN’T USE THAT NITROGEN IN ANY WAY, AND IT DOESN’T REACT WITH YOU CHEMICALLY.

      THE ONLY WAY TO EVEN NOTICE IS TO BE SUBJECTED TO A SUDDEN DROP IN PRESSURE.

      FOR EXAMPLE, IF YOU ARE PRESSURIZED TO SEVERAL TIMES NORMAL ATMOSPHERIC PRESSURE, THEN SUDDENLY REDUCED TO NORMAL SEAL LEVEL PRESSURE, THAT DISSOLVED NITROGEN WILL SUDDENLY AND VIOLENTLY RETURN TO GAS PHASE, FORMING BUBBLES IN YOUR BLOOD.

      THIS IS PAINFUL AT BEST, AND QUITE POSSIBLY FATAL WITHOUT IMMEDIATE RE-PRESSURIZATION.

      IN THESE SEVERE CASES, THE VIRUS CAUSES DAMAGE TO THE LUNGS. THE BODY'S IMMUNE SYSTEM DETECTS THIS AND EXPANDS BLOOD VESSELS SO MORE IMMUNE CELLS ENTER.

      BUT THIS CAN CAUSE FLUID TO ENTER THE LUNGS, MAKING IT HARDER TO BREATHE, AND CAUSING THE BODY'S OXYGEN LEVELS TO DROP.

      TO ALLEVIATE THIS, A MACHINE VENTILATOR IS USED TO PUSH AIR, WITH INCREASED LEVELS OF OXYGEN, INTO THE LUNGS.

      A VENTILATOR IS A MEDICAL EQUIPMENT THAT IS NEEDED IN CRITICAL CASES ONLY WHEN A PERSON IS UNABLE TO BREATHE NATURALLY.

      THE VENTILATOR ALSO HAS A HUMIDIFIER, WHICH ADDS HEAT AND MOISTURE TO THE MEDICAL AIR SO IT MATCHES THE PATIENT'S BODY TEMPERATURE.

      PATIENTS ARE GIVEN MEDICATION TO RELAX THE RESPIRATORY MUSCLES SO THEIR BREATHING CAN BE FULLY REGULATED BY THE MACHINE.

      PATIENTS SHOULD BE KEPT OFF THE MACHINES AS LONG AS POSSIBLE ..JUST BECAUSE THE DOCTOR HAS A SPARE VENTILATOR IT MUST NOT BE IMPOSED ON THE PATIENT

      PURE OXYGEN CAN BE DEADLY. OUR BLOOD HAS EVOLVED TO CAPTURE THE OXYGEN WE BREATHE IN AND BIND IT SAFELY TO THE TRANSPORT MOLECULE CALLED HAEMOGLOBIN.

      IF YOU BREATHE AIR WITH A MUCH HIGHER THAN NORMAL O2 CONCENTRATION, THE OXYGEN IN THE LUNGS OVERWHELMS THE BLOOD'S ABILITY TO CARRY IT AWAY

      PUMPING IN TOO MUCH OXYGEN TOO QUICKLY CAN STRIP THE MOLECULE OF A SINGLE ELECTRON, CREATING A FREE RADICAL. FREE RADICALS, LINKED TO RAPID AGING, ARE HIGHLY REACTIVE WITH OTHER MOLECULES, INCLUDING VITAL DNA AND PROTEINS, THE DESTRUCTION OF WHICH CAN DAMAGE OR KILL CELLS

      BOTTOM LINE: ONCE YOU ARE PUT ON LIFE SUPPORT YOU CAN KISS YOUR BLESSED ASS GOODBYE.
      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      Capt ajit vadakayil
      ..



    Unknown  July 27, 2018 at 4:25 PM
    Great Captain sir,
    I am addressing you with the utmost gratitude and respect.
    I have silently read your wisdom for 5 Years now and felt moved by my heart to reach out and break my silence. It is fitting on this day of Guru Purnima & lunar eclipse that I express my sincere gratitude for you. Your ancient wisdom, keen modern Insight,warrior spirit and funny ,quick wit has influenced my life in ways I did not imagine. The night I came across your blog, I wept tears of joy. I began printing your posts because I feared they would attempt to remove your blog, I am exhilarated you are still here! I truly believe happening upon your blog was no accident,but divine destiny. I am sending my love to you and your family and wish all of you much goodness. I have always refrained from commenting due to your understandable disdain for westerners and white people. I am a 26 year old female from america, Louisiana. (I'm a cajun) currently things are becoming extremely volatile, right now they are sending antifa groups out to violently attack women and children while they pay the cops to stand down!! They are attempting to abolish freedom of speech while simultaneously attempting to normalize pedophilia! Disgusting demonic celebrities are endorsing and making jokes about pedophilia also Disney officials! ! A tedtalk filmed in Europe was broadcast here in support of pedophiles, the lunatics!!!. The warrior spirit of Kalki rises In us, I can feel it.. Kalki Avatar is beginning to incarnate in the American peoples consciousness. I would be most thankful for any advice from you sir. We will defeat these demon zionist, shadow government lunatics once and for all. I hope we defeat them before they further infiltrate mother Indias great land and her descendants of Bharat!!! I wish this with all of my heart, and I will die in battle against them to defend the innocent! Armed with the bhagavad gita and sweet lord KRSNAs words, my determination shall not waiver and my heart will not succumb to weakness! I steady my mind for battle, by .liberating north america, we free every other country on earth!!!! We will prevail! Victory or death!





    Capt. Ajit Vadakayil  July 27, 2018 at 5:09 PM
    JADE

    I HAVE NO DISDAIN FOR WHITE PEOPLE OR WHITE JEWS --I HAVE NO AXE TO GRIND..

    I JUST TELL THE TRUTH -

    PROTECT YOUR CULTURE --BE PROUD OF IT.. YOU HAVE THE LEAST DIVORCE PERCENTAGE IN USA.

    I HAVE EATEN JAMABALAYA IN LAKE CHARLES.

    ##############

    A good-bye Joe, you gotta go, me oh my oh
    He gotta go-pole the pirogue down the bayou
    His Yvonne the sweetest one, me oh my oh
    Son of a gun, we'll have big fun on the bayou
    Thibodaux, Fontaineaux, the place is buzzin'
    A kinfolk come to see Yvonne by the dozen
    Dressed in style they go hog wild, me oh my oh
    Son of a gun, we'll have big fun on the bayou
    Jambalaya, crawfish pie and fillet gumbo
    For tonight, I'm-a gonna see my ma cher a mi-o
    Pick guitar, fill fruit jar and be gay-o
    Son of a gun, we'll have big fun on the bayou
    Settle down far from town, get him a pirogue
    And he'll catch all the fish in the bayou
    Swap his mon to buy Yvonne what she need-o
    Son of a gun, we'll have big fun on the bayou
    Jambalaya, crawfish pie and fillet gumbo
    For tonight, I'm-a gonna see my ma cher a mi-o
    Pick guitar, fill fruit jar and be gay-o
    Son of a gun, we'll have big fun on the bayou
    Jambalaya, crawfish pie and fillet gumbo
    For tonight, I'm-a gonna see my ma cher a mi-o
    Pick guitar, fill fruit jar and be gay-o
    Son of a gun, we'll have big fun on the bayou
    Jambalaya, crawfish pie and fillet gumbo
    For tonight, I'm-a gonna see my ma cher a mi-o
    Pick guitar, fill fruit jar and be gay-o
    Son of a gun, we'll have big fun on the bayou
    Jambalaya, crawfish pie and fillet gumbo
    For tonight, I'm-a gonna see my ma cher a mi-o
    Pick guitar, fill fruit jar and be gay-o
    Son of a gun, we'll have big fun on the bayou


    https://www.youtube.com/watch?v=8-ZM79L8TDc

    GOODBY JOE" J'AI POUR ALLEZ, MI-O-MA-Y-O
    J'AI POUR ALLEZ MOI TOUT SEUL
    SUR LE BAYOU
    MA YVONNE, LA PLUS JOLIE
    SUR LE BAYOU
    TONNERRE M'ECRASE
    UN VA AVOIR UN BON TEMP
    SUR LE BAYOU
    ----refrain----------
    JAMBALAYA, DES TARTES D'ECREUVISSE, FILE GOMBO
    PAR A SOIR MOI J'VA ALLEZ VOIR
    MA CHERE AMI-O
    JOUER L'GUITAR, BOIRE DE LA JOGUE(cruche)
    ET FAIR DE LA MUSIQUE
    TOMNNERRE M'ECRASE
    UN VA AVOIR UN BON TEMP
    DE SUR LE BAYOU
    THIBODEAUX, FONTENOT, LA PLACE APRE SONNER
    CA VIEN "EN TAS" POUR VOIR YVONNE
    PAR LES DOUZAINES
    FAIR BIEN L'AMOUR, ET FAIR LE FOU, FAIR LA MUSIQUE
    TONNERRE M'ECRASE
    UN VA AVOIR UN BON TEMP

    GOD SPEED !




    Soujanya V  July 28, 2018 at 11:49 AM
    Hi Jade - God bless you.... You are a kind soul, I got tears in my eyes after reading your comment


    Thanks




    SlasherJuly 27, 2018 at 5:42 PM
    Happy Guru Poornima Day Captain!

    A Guru is one who removes ignorance.

    You have removed my ignorance and millions of others in India, USA, UK, Asia, Australia and the world.

    We still have many more millions to reach and teach your revelations.
    Please bless us to continue spreading your wisdom and the Greatness of SANATANA DHARMA.

    Slasher



    Capt. Ajit Vadakayil  July 27, 2018 at 5:45 PM

    QUOTE    PS:: Please don't be so harsh to women … many women are struggling with the same problems and trying to tread the path of dharma and duties thereof… just that they are not so prominent … please !!    UNQUOTE

    I ASK MY READERS TO IMAGINE THIS

    A CHUTNEY MARY , A PICKLE JOHN AND VADAKAYIL HAVE GONE FOR AN EVENING OUT

    PICKLE JOHN IS VERY NICE TO CHUTNEY MATY-- HE CALLS HER DAHLING, HE OPENS DOORS FOR HER, HE PULLS CHAIRS FOR HER, HE WISHES HER GOOD MORNING, HE HAS NEVER MISSES HER BIRTHDAY, HE HAS GIVEN HER HAJAAAR GIFTS..

    HARDCORE VADAKAYIL DOES NOTHING OF THAT..

    AFTER THE MOVIE AT THE BUS STOP A SEEDY GUY COMES FROM BEHIND STARTS POKING HER ASS WITH HIS PRICK ..

    WHO DO YOU THINK SHE WILL COMPLAIN TO FOR INSTANT REDRESSAL?

    THINK ABOUT THIS..

    STARS SHINE ONLY IN THE DARK..

    AT SEA I EVALUATE MY CREW WHEN THERE IS A CRISIS.. AT THAT TIME I KNOW RATS FROM LIONS.

    IF YOU RAN WAY DURING A STORM, DONT COME BACK WHEN THERE IS SHINE .

    IN MY 35 YEARS OF MARRIAGE , I HAVE FORGOTTEN MY WIFEs BIRTHDAY 32 TIMES.

    SHE KNOWS WHAT I AM WORTH AND VICE VERSA.

    capt ajit vadakayil
    ..



    A Tiwari  July 27, 2018 at 6:04 PM
    Thank you sir ... no doubt about that at all … just that I have personally seen a lot of infidelity and humiliation in men especially north indian of my mother's generation .. making the father of the bride fall at the husband's feet … not allowing to eat or stay and so on … abusing with worst of filth ….I have seen these women still do as much as they could faithfully … and raise good kids … I see a lot of times very inflammatory messages from some passionate followers generalizing all the women …you have a large following and I think many ordinary women just get labelled these days …..because I think they are not flamboyant like PC …..

    otherwise I honestly think I will take so many births just to fully appreciate our sanatan dharma forget about understanding it …

    happy guru Purnima ….

    btw remembering your face and your teachings I have today on guru purnima decided to face all my problems head long like a man … already started working on it … its difficult as I have already wasted most of my life but what is rest I just hope to salvage … and I need your full blessings

    just to take a respite decided to peek into your website ...


    Strength & Honor ALWAYSJuly 27, 2018 at 6:46 PM
    Captain sir, no wonder you ARE an ALPHA male.

    By the way, happy Guru Purnima today.

    I would have been the same Pickle John mentioned here & many other things.
    But your blog site & your perception saved me from becoming a wannabe goragaand. Hahaha




    Buddha Zorba  July 27, 2018 at 7:23 PM
    in western terms she knows who the alpha is

    media today tells us to be that pickle john



    Kuldhir  July 27, 2018 at 8:15 PM
    Captain Sir

    I remember someone in old post had once seek your advice regarding a prospective match for his daughter and told that.. his future son-in-law left her daughter alone in car and run away.

    You told him not to go for the match.

    What these pickle john worth




    Soujanya V   July 28, 2018 at 12:52 PM
    Sir - I have been wanting to ask this question about why white men have excessive chivalry. If they are there in an elevator they open the elevator’s door , All of them stand towards one side without moving till the girl goes out.
    I was once walking in the corridor, there was a white guy who was bowing with hands towards one side like in a ballroom or something, I was not concentrating much and was in a hurry, I did not realize it was some chivalrous gesture and he was expecting me to go first, I just stood there, after that the guy looked hurt whenever he saw me, probably he dint expect that (I did not do it intentionally) I understood about chivalry later. When white men did this, I used to think why are these people doing this for women.

    Our Indian men don’t follow chivalry- father, brothers or husband. They are rigid and there like a rock in time of need. They are rigid but still sensitive and protective.




    Soujanya V  July 29, 2018 at 12:47 AM
    Namaste Mohan - quite valid, Our Indian men are there through thick and thin for women and children of the House and shield them from adversities that is true chivalry.





    https://timesofindia.indiatimes.com/city/ludhiana/punjab-dreaded-in-12-villages-nihang-had-criminal-past/articleshow/75132514.cms

    I HAVE SEEN SOME PNJAAABI SIKHS LIKE THIS-- THEY BULLY TILL THEY ARE STOPPED ON THE TRACKS ..

    IF YOU ALLOW YOURSELF TO BE BULLIED-- YOU ARE AT FAULT..

    http://ajitvadakayil.blogspot.com/2011/07/the-bully-capt-ajit-vadakayil.html



    Raj   April 14, 2020 at 6:30 PM
    Pranam Gurudev,

    Wish you and your family A Happy Vishu. I bow my head to the light which we see at the end of the dark tunnel. You are spearheading this silent revolution like a Captain and thank you for enlightening the souls which were otherwise living in dark ages.
    Wish you long and happy life.
    With regards

    Raj






    786maalikOm  April 14, 2020 at 8:17 PM
    RE :- WHY INDIVIDUALS WORKING FOR TWITTER/ FACEBOOK/ QUORA/ WIKIPEDIA / GOOGLE BAN THE WORD VADAKAYIL.

    Pranaam Capt Ajit Sir,

    These Individuals Ban/Boycott/Sunk Your Articles for the Exact Same Reason why Nikola Tesla was Boycotted/Isolated By R's Henchmen JP Morgan and others, Why
    Shivkur Bapuji Talpade was incarcerated and left to Die for the Vedic Vimana Technology.

    At the Root of All of this I believe are Feelings of Greed (Tendency to Hoard and Monopolize), Jealousy, Philosophy of Exclusivism like Religious and Racial Exclusivism And Fear of Losing It All in the Face of Truth. All of this I believe are Hallmark Qualities of A Typical Kaliyuga Human Being.

    For instance, Tesla Wanted to Use Scalar Technology for providing Free Electricity to the Entire Planet but this would Have Upset R's Plan to Monetize and Monopolize the Electrical Generation and Supply Industry And Other Sister Industries All of Which Are Dependent Upon Electricity. Also, instead of Using Scalar Technology for Electrical Generation and For Meeting Planet's Energy Demand, R was more interested in Weaponizing this Technology to Further Cement His Control Over the Entire Planet for Posterity. But Tesla did not Play Ball And So He was Deleted Form History until You Exhumed His Legacy.

    Similary, Shivkur Bapuji Talpade was banished because he demonstrated a Technology that the White Invader could not even Imagine in His Dreams. The First thing they realized was that Indians are Actually descendants of an Advanced Ancient Civilization which totally demolished their Own White Superiority Complex (Reason For Jealousy). And Secondly, they Realized that This technology, if mastered by Indians, can literally End their Plan for World Domination (Reason For Fear). And so the Hero Shivkur Bapuji Talpade was first Starved-Off His Funding, Forced to Die Alone and Deleted From History just like Tesla Until One Day A Highly Conscious, Perceptive Human Being of Integrity And Honour Named Captain Ajit Vadakayil Decided to Exhume This Great Soul for Us Ignorant (As Sheep) Masses.

    Captain Ajit Vadakayil Sir, You have already Made it Clear that R wants to maintain his Evil Empire of World Domination and for that to Happen He needs to Nip Every Conscious Awakening of People in the Bud. And the easiest way to do so is to Make People Self-Hating Blind Religious Fanatics. And Here the Role of Christianity and Islam (Hijacked by Jews) Comes into Play along with the Constant Negative Propaganda regarding Sanatana Dharma. People like Osho were poisoned or murdered when they started to Affect the Supply of Religious Zealots for the Z-Jews to Do their Bidding.

    Also, in order to Ensure his Evil Rule R needs to Monopolize Every Avenue of A Human's Basic Survival Needs of Food (GMO Seeds, Chemical Fertilizers), Medicines (Evil Pharma, A1 Cow Milk), Energy Sources etc.

    However, Free Internet And Free Social media is a Great Leveller And It Has Allowed Your Blog to Emerge As the Greatest Obstacle to R's plans. You Made All of Us Aware About R and His Deep State Minions in the First Place. You Made us Conscious About Our Unparalleled Ancient Heritage. You Also Made us Realize About Yoga, Chakras, Kundalni, Surya Namaskar, Ayurveda, Kalari, Healthy Food, Quantum Herbs etc. All of which Allowed Us to Move Out of the Vicious Cycle Imposed On Us By Processed Food And Evil Pharma Lobby of Deep State.

    The Bottom-Line is that Silent Awakening Cum Revolution Started By You Has Started Threatening the Very Foundation of R's Deep State and that's why His minions in TWITTER/ FACEBOOK/ QUORA/ WIKIPEDIA / GOOGLE BAN THE WORD VADAKAYIL.

    I pray to Lord Kalki Bless to You And Your Family,

    Love, Respect, Blessings And Gratitude From The Bottom of My Heart.







    Aman thakur  April 14, 2020 at 9:01 PM
    Happy Vishu to you dear Captain ,to your lovely family and all deshbhakts and loyal readers.
    Captain i came to your blogs when i was searching for info about something which i come to knew from rajeev dixit.year was 2015 i guess..at that time i had gone through every audio clip and video clip i could find of rajiv dixit..he was the first via whom i found different orgs planning against India,glimpse of our dharma ,our culture and many existing problems with facts and figures..for a long time after that i was in no trust mode..that feeling which arise from the fact that every thing you know about your history,political heroes,these invaders and traitors...all of this combined to one is a weird feeling..i could connect dots after that to an extent..and then came You..when at first i read your blog i just read it with maybe preconceived notions and ego,and for many days i didn't look onto anything in your blogs.but again after few days i was searching about some political figure then ur blog came up..but the main blog which just like caught my collar and jolted me very deeply was about bose.the blog in which u wrote about how ina soldiers were eaten by japanese.i cried,couldn't sleep..later step by step with every blog ,my every knowledge and belief just lost its credibility.All i want to say right now is
    You are the reason i can think like humans should.
    You are the reason that right now i m married
    You are the reason i value my traditions so much
    You are the reason i can counter many greedy,deshdrohi or people with inferiority complex with proper reasoning ,with logic and facts.
    You are the reason i came to know all of our cultural heritage,our vast sea of knowledge.
    You are the reason that as an Indian Hindu,I feel proud and a little egoistic.
    You are the reason because of whom deep inferiority complex in me just vanished.
    You are the reason that I have found new hope.a state of mind where i can see at the good things in the bad times...

    In response to your question about readers at google,fb,quora
    I feel the worst thing is lack of courage,character,lack of gaand mei dum to kick anyone's ass who is playing with your morals,your values ,if there are are any..lack of integrity either having its root in jealousy,fear,ingratitude is just the crown stone of a tattu crooked asshole whose whole life just revolves around just his basic material instincts..

    Love and respect sir.





    Amrita L  October 2, 2018 at 12:05 AM
    Shri Ajit Vadakayil ji
    Namaskar
    Three years ago ,while searching the internet about the disturbing state of affairs of the world I stumbled upon your blog, which I must say is a vast ocean of knowledge.Since then, the day is incomplete without reading your blog.
    The recent judgements by the judiciary were the most disturbing events.
    I do not use facebook/twitter but trying to awaken people in person.
    Wishing you Mangalam Janmadinam.
    May this birthday bring auspiciousness and joy to you forever.
    Indeed,we all pray for your long life, May God always protect you.
    Thanks to you and Suchitra ma'am
    with gratitude,
    Amrita




    krismohi  October 2, 2018 at 12:25 AM
    Wishing you a very Happy birthday and many more happy returns of the day Sir!
    You are indeed Sun of the world media. Rest all are candles!
    Regards,
    Krishna




    Indianatherat  October 2, 2018 at 5:54 AM
    Dearest sir,

    Wish you a very blessed happy Birthday. The best thought has happened to me is getting in touch with you and your pro watan blog. A big thanks to you for enlightening us and helping us to wake on righteous path. Thanks for your life changing deekshas and have good healthy long life.




    vikramaditya  October 2, 2018 at 7:28 AM
    Guruji,
    Happy birthday....
    You being born on same day as that traitor gandhi saves us from ignomity and lament and gives us hope and energy to protect our watan.
    Another great paradox for us paradox lovers.... God chose you two to create such a paradox. One enslaved people and other liberates them. One made us charkha ghumaaing other showed us the sudharshan chakra which cuts through evil.
    One date opposite personalities. Indeed it is god at play....
    Wish you all good health and gratitude from us.
    Ajit vadakayil
    A name which will forever etched in our souls. We thank god for giving you to us to undo the evil that gandhi ushered in.




    Sushant  October 2, 2018 at 10:21 AM
    Happy birthday to the only person who has had profound impact on my life so much so that I have changed rather realised myself..-Immense gratitude and heartfelt wishes to you and your family . thank you Captain (guruji)




    Raktim M  October 2, 2018 at 11:46 AM
    Shraddheya Shri Gurudev

    Wishing u a very Happy and a peaceful birthday.
    May the supreme Brahman usher in all it's energy to u , so that u can cure this ailing world .
    May God Bless u with an infinite lifespan.

    Infinite Gratitude to the "Best Change Manager" for bringing in the change for the world , the country and all individual souls .

    Strength and Honour always .

    Pranam Gurudev.

    Raktim




    Karthikeyan Yelumalai  October 2, 2018 at 12:00 PM
    Pranam Guru Just,
    Wishing you a lovely Happy Birthday,May God bless you with Everlasting love n long life.
    Your one of the greatest son of our mother land.
    With love.
    Karthikeyan yelumalai




    Anish Bhandarkar  October 2, 2018 at 12:13 PM
    Dear Captain,
    Many happy returns of the day from Vancouver :)
    I’m unable to find words to convey specific wishes to you, who has everything and knows everything.
    Yours will be the legacy that would stand the test of time and truth.

    Saluting you.
    Anish.




    Shashi  October 2, 2018 at 12:44 PM
    Respected Captain
    I with due humility and gratitude wish to say you , Thank You for giving a new dimension to my life and new perception to look things around . Wishing you a very happy birthday and praying for your health and happiness as you lead us in this silent revolution.
    Pranam.




    saurabh giri  October 2, 2018 at 12:48 PM
    Happy birthday captain Ajit vadakayil sir whatever knowledge of history I have gained there is specified space for ur viewpoints u have given a whole new dimension & perception to my study of history as u yourself say u r not guru u are my mentor.




    Shouri Suman  October 3, 2018 at 3:04 AM
    Happy Birthday Captain sahab,
    Nice to see you having a drink on behalf of all of us. Hope you live as looong and healthy as humanly possible and keep blogging. It is vital for the world in a unique way.
    Many regards
    Shouri Suman




    Sailee  October 2, 2018 at 7:17 PM
    Shubh Varshavrddhi Captain!

    God intentionally sent you on this day to wipe out Gandhi’s evil from our minds!

    I wonder though, what an auspicious tithi it must be all those years ago when you were born. If you don’t mind, please share your Birth Tithi.

    Thank you for the time and energy you have invested in this blog. Inspite of never meeting, you are the best Mentor i could have asked for.

    Love you Sir, with as much respect too, as i have for my own father.




    Amardeep Singh Mann  October 2, 2018 at 7:46 PM
    Hello Captain,

    Many happy returns of the day!

    Thank you for your blessings today!

    Thank you for the enlightenment and the new direction in life most of us have because of your tireless efforts!

    Regards,



    Sehaj  October 2, 2018 at 7:54 PM
    Happy Birthday Captain Sir.
    Your knowledge/wisdom is like a bottomless well. We bow humbly before you and before the Field that has blessed us with your Presence.




    Prakash Kulkarni  October 2, 2018 at 9:03 PM
    Wish You A Very Happy Birthday Captainji.
    We are very much Grateful to you for all the Service you are doing for enlightening us about our Culture and Dharma and leading the torch for regaining the righteous place to our Bharatmata in this planet.
    With Regards and Gratitude.




    Ajay partap singh chauhan  October 2, 2018 at 11:03 PM
    Happy birthday capt my 2nd wish You are atleast Tiny avatar of lord vishnu Plz Become PM of bharat needs you we need you captain ji🙏🙏🍰🍰




    mysticscience  October 2, 2018 at 11:56 PM
    Dear Captain,
    Manny Manny Happy Returns of the Day Sir.
    Thanks for being in our lives, you are the person whom I look forward to each time I feel low, and you have made my life so gratifying. The moment I listen to you my life fills with gratitude, thank you so much Captain.
    Everytime you write about your family, I feel so touched, can feel proudness you emit, which will spread throughout nation n we too shall be strong like a family. Wish you all the best to you and your family my Dear Captain, Thanks n Thanks alot.




    Infinite Explorer  October 3, 2018 at 1:07 AM
    Happy birthday Captain. May you live long and prosper, and may we be inspired to work and ensure your vision of bharatmata as leader and guru of the world once again come true. Love and respect, honour and strength and inspiration always!




    Gautam  October 3, 2018 at 12:51 PM
    Dear Captain,

    Wish you a very happy birthday.

    May God Bless you with health and happiness to enjoy your family life and your future generations to come.

    May God bless you with unlimited strength to enlighten us and the future generations.

    You are a gift of God to Bharatmata.

    Pranaam

    Gautam



    Reflections  October 3, 2018 at 8:14 PM
    Koti koti pranam Guruji,

    I wish you a long life packed with good health, peace,and happiness. Your Sanatan Dharma series are priceless gift to humankind. Happy birthday






    Scientific Spirituality  July 27, 2018 at 10:34 AM
    Pranaam astu Guruvar.
    Captain you are our Guru for Kaliyuga.

    All your readers are very fortunate to be born in this period of this Kaliyuga, to blessed by the shower of your knowledge and your Deekshas.

    We do not know what Gurudakshina would suffice, to repay your huge efforts to impart pure uninhibited knowledge to your readers.

    I believe even your detractors will today be grateful to you.

    Please accept my humble Pranaam and deepest Gratitude.

    Shri Adi Sankaracharya’s
    Guru Ashtakam

    ॐॐॐॐॐॐ

    श्रीमद्आद्यशंकराचार्यविरचितम्

    गुर्वष्टकम्

    शरीरंसुरुपंतथावाकलत्रं
    यशश्चारूचित्रंधनंमेरुतुल्यम्।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।1।।

    यदिशरीररुपवानहो, पत्नीभीरूपसीहोऔरसत्कीर्तिचारोंदिशाओंमेंविस्तरितहो, मेरुपर्वतकेतुल्यअपारधनहो, किंतुगुरुकेश्रीचरणोंमेंयदिमनआसक्तहोतोइनसारीउपलब्धियोंसेक्यालाभ

    Sareeram suroopam thadha va kalathram,
    Yasacharu chithram dhanam meru thulyam,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 1

    Even if you have a pretty body, a beautiful wife,
    Great fame and mountain like money,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?

    कलत्रंधनंपुत्रपौत्रादिसर्वं
    गृहंबान्धवाःसर्वमेतद्धिजातम्।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।2।।

    सुन्दरीपत्नी, धन, पुत्र-पौत्र, घरएवंस्वजनआदिप्रारब्धसेसर्वसुलभहोकिंतुगुरुकेश्रीचरणोंमेंमनकीआसक्तिहोतोइसप्रारब्ध-सुखसेक्यालाभ?

    Kalathram Dhanam puthrapothradhi sarvam,
    Gruham Bandhavam Sarvamethadhi jatham,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 2

    Even if you have a wife, wealth, children grand children.
    House , relations and are born in a great family,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?

    षडंगादिवेदोमुखेशास्त्रविद्या
    कवित्वादिगद्यंसुपद्यंकरोति।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।3।।

    वेदएवंषटवेदांगादिशास्त्रजिन्हेंकंठस्थहों, जिनमेंसुन्दरकाव्य-निर्माणकीप्रतिभाहो, किंतुउसकामनयदिगुरुकेश्रीचरणोंकेप्रतिआसक्तहोतोइनसदगुणोंसेक्यालाभ?

    Shadangadhi vedo Mukhe sasra vidhya ,
    Kavithwadhi gadhyam , supadhyam karothi,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 3

    Even if you are an expert in six angas and the four Vedas,
    And an expert in writing good prose and poems,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?

    विदेशेषुमान्यःस्वदेशेषुधन्यः
    सदाचारवृत्तेषुमत्तोचान्यः।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।4।।

    जिन्हेंविदेशोंमेंसमादरमिलताहो, अपनेदेशमेंजिनकानित्यजय-जयकारसेस्वागतकियाजाताहोऔरजोसदाचार-पालनमेंभीअनन्यस्थानरखताहो, यदिउसकाभीमनगुरुकेश्रीचरणोंकेप्रतिअनासक्तहोतोइनसदगुणोंसेक्यालाभ?

    Videseshu manya, swadeseshu danya,
    Sadachara vrutheshu matho na cha anya,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 4

    Even if you are considered great abroad, rich in your own place,
    And greatly regarded in virtues and life,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?





    ReplyDelete

    Scientific SpiritualityJuly 27, 2018 at 10:36 AM
    Continued...

    क्षमामण्डलेभूपभूपालवृन्दैः
    सदासेवितंयस्यपादारविन्दम्।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।5।।

    जिनमहानुभावकेचरणकमलपृथ्वीमण्डलकेराजा-महाराजाओंसेनित्यपूजितरहाकरतेहों, किंतुउनकामनयदिगुरुकेश्रीचरणोंमेंआसक्तहोतोइसेसदभाग्यसेक्यालाभ?

    Kshma mandale bhoopa bhoopala vrundai,
    Sada sevitham yasya padaravindam,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 5

    Even if you are a king of a great region,
    And is served by kings and great kings,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?

    यशोमेगतंदिक्षुदानप्रतापात्
    जगद्वस्तुसर्वंकरेसत्प्रसादात्।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।6।।

    दानवृत्तिकेप्रतापसेजिनकीकीर्तिदिगदिगान्तरोंमेंव्याप्तहो, अतिउदारगुरुकीसहजकृपादृष्टिसेजिन्हेंसंसारकेसारेसुख-ऐश्वर्यहस्तगतहों, किंतुउनकामनयदिगुरुकेश्रीचरणोंमेंआसक्तिभावरखताहोतोइनसारेऐश्वर्योंसेक्यालाभ?

    Yaso me gatham bikshu dana prathapa,
    Jagadwathu sarvam kare yah prasdath,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 6

    Even if your fame has spread all over,
    And the entire world is with you because of charity and fame,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?

    भोगेयोगेवावाजिराजौ
    कान्तासुखेनैववित्तेषुचित्तम्।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।7।।

    जिनकामनभोग, योग, अश्व, राज्य, धनोपभोगऔरस्त्रीसुखसेकभीविचलितहुआहो, फिरभीगुरुकेश्रीचरणोंकेप्रतिआसक्तबनपायाहोतोइसमनकीअटलतासेक्यालाभ?

    Na Bhoge, na yoge, Na vaa vajirajou,
    Na kantha sukhe naiva vitheshu chitham,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 7

    Even if you do not concentrate your mind,
    On passion, Yoga, fire sacrifice,
    Or in the pleasure from the wife
    Or in the affairs of wealth,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?

    अरण्येवास्वस्यगेहेकार्ये
    देहेमनोवर्ततेमेत्वनर्घ्ये।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।8।।

    जिनकामनवनयाअपनेविशालभवनमें, अपनेकार्ययाशरीरमेंतथाअमूल्यभंडारमेंआसक्तहो, परगुरुकेश्रीचरणोंमेंभीयदिवहमनआसक्तहोपायेतोउसकीसारीअनासक्तियोंकाक्यालाभ?
    Aranye na vaa swasya gehe na karye,
    Na dehe mano varthathemath vanarghye,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 8.1

    Even if your mind stays away in the forest,
    Or in the house, Or In duties or in great thoughts
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?


    ReplyDelete

    Scientific SpiritualityJuly 27, 2018 at 10:36 AM
    Continued...

    अनर्घ्याणिरत्नादिमुक्तानिसम्यक्
    समालिंगिताकामिनीयामिनीषु।
    मनश्चेन्नलग्नंगुरोरंघ्रिपद्मे
    ततःकिंततःकिंततःकिंततःकिम्।।9।।

    अमूल्यमणि-मुक्तादिरत्नउपलब्धहो, रात्रिमेंसमलिंगिताविलासिनीपत्नीभीप्राप्तहो, फिरभीमनगुरुकेश्रीचरणोंकेप्रतिआसक्तबनपायेतोइनसारेऐश्वर्य-भोगादिसुखोंसेक्यालाभ?

    Anarghani rathnani mukthani samyak,
    Samalingitha kamini yamineeshu,
    Gurorangri padme manaschenna lagnam,
    Thatha kim Thatha Kim, Thatha kim Thatha kim. 8.2

    Even if you have priceless jewel collection,
    Even if you have an embracing passionate wife,
    If your mind does not bow at the Guru’s feet,
    What is the use? What is the use? And What is the use?

    गुरोरष्टकंयःपठेत्पुण्यदेही
    यतिर्भूपतिर्ब्रह्मचारीगेही।
    लभेत्वांछितार्थपदंब्रह्मसंज्ञं
    गुरोरुक्तवाक्येमनोयस्यलग्नम्।।10।।

    जोयती, राजा, ब्रह्मचारीएवंगृहस्थइसगुरु-अष्टककापठन-पाठनकरताहैऔरजिसकामनगुरुकेवचनमेंआसक्तहै, वहपुण्यशालीशरीरधारीअपनेइच्छितार्थएवंब्रह्मपदइनदोनोंकोसम्प्राप्तकरलेताहैयहनिश्चितहै।

    गुरुगुरु

    Phalasruthi:
    Guror ashtakam ya padeth punya dehi,
    Yathir bhoopathir , brahmacharee cha gehi,
    Labeth vanchithartham padam brahma samgnam,
    Guruor uktha vakye,mano yasya lagnam
    Result of reading:
    That blessed one who reads this octet to the Guru,
    Be he a saint, king, bachelor or householder
    If his mind gets attached to the words of the Guru,
    He would get the great gift of attainment of Brahman.




    Nishant Goyal  July 27, 2018 at 12:41 PM
    Ohm namo gurudevaaya nama...
    Ohm namo gurudevaaya nama...
    Ohm namo gurudevaaya nama...

    I am grateful to you. I put my head on your feet. You are only one hope of mankind. Happy Guru Poornima.

    Ohm namo Shree Parshuram devaya nama..
    O lord Parshurama I salute you from my heart. O lord Parshurama I request you to bless our dearest gurudev Shree Ajit Vadakayil with making his mission successful.

    Yours faithfully
    Nishant Goyal and family




    Pixar6  July 27, 2018 at 1:26 PM
    Dear Captain,

    Wishing you and your family, an auspicious and happy Gurupurnima /\

    Me & my family are forever indebted to you for all your guidance, blessings.
    Sincerely thank you from the bottom of my heart.

    Your sacrifice, in the larger interests of the community, is unsurpassable.
    Thank you for leading us through the dark hour.

    Regards,
    JTA




    SiD  July 27, 2018 at 4:01 PM
    Happy Guru Purnima Capt. Thank you for taking my conscience to a higher state of awareness.

    Wishing you and your family a happy, healthy and prosperous life ahead..:)





    Raja.M  April 15, 2020 at 1:02 AM
    Hi captain

    Belated Happy vishu

    I am happy in life its only because of you an your teaching captain since 2013

    I came acroos your blogpost through TOI i saw your comments their. You asked to punch into google proud to be hindu proud to be indian. Thats my first blog i read the below line

    Read on folks, this could be the turning point of your lives.

    The moment i read the above line . I had a electric shock captain! From then on my life changed completely. Happiness beings from home! The life management blog!

    Your my everything captain!

    I always comment only in this single blog everytime! Hardly once or twice i wished you in other blogs

    I am just 7th pass captain!but people hardly believe me if i say it anyone . Its because of you captain! Sorry for my poor English.my only wish s to meet you once in life. I have faith i will meet you for sure

    Regards

    Your pupil




    Swapnil Panchal  April 15, 2020 at 11:27 AM
    Dear Captain,
    I have followed your precious blogsite since 2014. Got my friends involved too and we together started to spread your work amongst people.

    I was away for a few months due to really terrible issues in family life and health, but things are getting better now so I'm back.
    I thank you on behalf of my family for this precious information and taking out your time for ignorants like us and educating us about our true worth and vast knowledge. Honestly words can't describe what you mean to us and Bhartamata. Thank you dil se for everything.
    May god bless you and your family. Happy Vishu to you and your family too.

    With Lots of Love and Gratitude to Our Captain,

    Swapnil Panchal




    prashanthkind  April 15, 2020 at 7:09 AM
    Dear Guruji,

    During the PK Movie controversy around Dec 2014 or Jan 2015, Subramanian Swamy, himself tweeted your blog link as a source for details
    about Aamir Khan & his propoganda. That's When I visted your blogsite for the first time & then became hooked forever. I was an Atheist
    before visiting this blogsite with high regards towards people like M K Gandhi, S C Bose, Ambedkar, Kamal Hassan, RGV, Aamir Khan, Sachin Tendulkar,
    Einstein, etc., Inherently I was always fascinated with words like Vedas, Puranas, Upanishads, Ayurveda, etc., Post Jan 2015 I became an
    Avid reader & took part in relaying your messages using Gmail, Twitter, Facebook & Quora. Most of the emails resulted in
    delivery failures, Whereas My accounts in Twitter & Quora was banned. My Facebook posts were blocked as not meeting their community standards.
    Despite that I continue to relay your messages in Facebook & Twitter(new account) in My limited capacity.

    My only source for knowing truth is you. I started copying your style of communication for My own use. I lost many Christian & Muslim friends coz of
    My stand in sharing your posts. Just recently I shared your messages in My school group to do away with paracetamol usage among old aged people,
    However the well to do Doctors refused to believe it & called them false as it is not proven & documented anywhere else.

    Your path & Your style is What any man would envy, but the cost is too heavy & comes with lot of sacrifices. You are that only Lion in the Jungle
    Who does not care for popularity medals. Despite Your Sword of Damocles Management style, No mortal on the planet has ever defeated in your purpose
    & that can only be acheived by a Super Human Who is a God in stature.

    One observation is that Our People's Ego have grown bigger that they do not even want to accept the fact that India dealt well with this Pandemic issue
    than the rest of the world. The Doctors are amused about that & are pointing fingers towards Our immunity levels due to poor hygenic practices & all.
    They always complain that Indian system does not protect & value Doctors like in Canada & Australia, despite me pointing that
    Vaidyo Narayano Hari was coined by Indians.

    You have become such an important part of My life that I cannot imagine My life without reading your thoughts. You are My Earthy models
    of Cosmic forces like Sun, Moon, Stars, Quasar, etc., always giving ... The Akshaya Patra Which knows no ending.

    Like me, there are many people Who visit your blogsite regularly but unlike me many of them are in for a shock of their lifetimes, as they are
    unable to make peace with you & refuse saying that all such work cannot be done by a Lone Man.

    Thanks & Regards
    Prashanth







    Capt. Ajit Vadakayil  April 15, 2020 at 7:24 AM
    CAN ANY HUMAN BEING ON THIS PLANET REPRODUCE MY BLOG WORK IN HIS LIFETIME ?

    IMAGINE THEY DONT HAVE TO THINK AT ALL -- JUST BE A BABU GHUMASTHAN TYPIST.


    Prashanthkind  April 15, 2020 at 10:29 AM
    Good Morning Guruji,

    No way, Forget reproducing your work, I find it very difficult to keep up pace with staying up to date with your blog posts. Even If We miss a day or 2, then We will lose the continuity. Unlike Your Speed Reading technique, I do speed glancing just to see What is going on, as the information provided by you will take a life time of work for me to comprehend it. I just take the summary & gist out of it rather than breaking My head to understand HCD matters. But let me tell you that even the complex HCD matter is explained by you in such a lucid, simple language that anyone can become HCD from LCD, If he/ she spends some quality time. Interacting with you itself brings so much joy that I feel like taking lessons from Lord Sri Krishna himself.
    Thanks & Regards

    Prashanth






    Mahadevi   April 15, 2020 at 3:32 PM
    Aadarniya Parampujya Ajitsir pranaam

    Shubh Vishu to you, your family and all the readers.

    I was always sure that India is the brightest star in the sky. Hindus almost gave everything to the world, from zero to infinite, but in return they faced hatred to the extent that thay were looted and killed brutally. Fake historians gave credit to greek, roman, egyptian, sumerian, mesopotamian civilizations for all the inventions and discoveries. Dead men tell no tales.
    Biased mainstream media always has an anti India and an anti Hindu stance. Too many people are suffering from macaulay syndrome. History books are loaded with lies. Too much of negativity.

    I always had a question in my mind "what really went wrong, how we ended up being what we are now". The picture was not clear to me, many pieces in the puzzle were missing. People like Rajiv Dixitji were creating awareness. Heard stories of secret societies and conspiracy theories from friends. Alien was hot topic, who built all the ancient megastructures on the earth including ancient city of Dvaraka and Kailasa temple, Ellora as per national geographic
    channel historians (ROLF).

    My search about ancient India, its contribution to the world, Hinduism and science behind Hindu practices, how astrology is related to mathematics, mysterious places on the earth like mount Kailasa, bermuda triangle, other such topics continued. Around in 2013, I stumbled upon a blog that made sense and this blogsite became part of my learning. I was a proud Hindu Indian but now "We are proudest people on this planet." Thank you.

    Lockdown continues, World is suffering due to ignorant people. Praying we all emerge out of this situation as soon as possible.

    With gratitude and respect

    Namaste





    Unknown  April 15, 2020 at 9:00 PM
    I stumbled upon your blog when looking for the nehru/gandhi dynasty information, at first I was not only shocked, but thought you were crazy, such was my conditioning. I can only thank you with gratitude for all you have done. Also i am quite concerned about your vadakayil backswing, does it allow for people to use their minds more after you lead us to truth ?. As you are aware from your perfect storm Bart's experience that every experience of a man is personal, of course your experience was together with your shipmates and you did realize that there is some supreme power guiding this in this universe. So is that the reason for keeping the vadakayil backswing always on the people's heads ?. I know you donned the sword of damocles on your head to challenge yourself to do better. But not all of us can live with that. However you have strongly united the people of this world to know the truth and do the right thing till pralaya.
    Regards and gratitude,

    Abhay





    Harsh Vardhan Sharma  April 15, 2020 at 10:53 PM
    Pranaam Captain,
    I was reading about white man's versions of
    ROTHSCHILDS ,topic like "one world one govt" ect but couldn't get satisfied untill I accidentally discovered this Blogsite in 2013. After that it was a new journey for me. Every blog of yours would reveal links to many new topics and connected blogs. Just like a picture in making. Even after years of regular reading and contemplation of your writings I couldn't even read 50% of your blogs.
    Your blogs have single handedly reprogrammed the DNA of millions self loathing Indians like me and made us a Proud Indian.

    Jai Shri Ram


    JAI HIND





    Kalki  Avatar  April 16, 2020 at 11:43 AM

    You are Kalki Avatar




    Jugglar  April 16, 2020 at 9:08 AM
    Pranam Guruji,
    Thank you for being you. Who would have thought that COVID19 directly messed up the CNS (olfactory bulb via cribiform plate). Its ur perception ( 3D Bindu thought process).
    Eternally Thankful to you.
    Please bless me, going through a divorce as I fight coronavirus. But getting rid of Chutney Mary types is also a sense of fulfilment, although we got married with Dhruva as our witness.
    Stay safe, respects to guruama .
    Dr Narayan Rizal.

    BHUTAN.



    S  April 16, 2020 at 9:50 PM
    Indeed it is a Silent Revolution!

    So many movies, intellectuals, Gurus and writers ECHO your message in their own style and limited understanding!

    They fear to take the name of Capt. Ajit Vadakayil because he is too hardcore.
    They Respect & fear him! Wise people will think a hundred times before taking PANGAA with the greatest Capt. that ever lived!


    Congrats Capt. !!




    1. Dear Guruji,


      Bringing to your attention:

      https://twitter.com/IndiaDST/status/1250812148365717505


      Best Regards

      CR
      .
      1. Superb!
        I have no words.
        Ajit Sir is simply the genius.
        Finally Gold Nanoparticles to orient antibody conjugation over them in the diagnostic system is going to be implemented for detection of Corona Virus.

        I have read the gold nanoparticles Blogspot so many times that it has precipitated in my brain.
        After so many days of frustration, finally something happened to make us happy.
        .
      2. FOR IMMUNITY ALL YOU NEeD IS TO DRINK ONE TEASPOON OF HUMPED COW URINE-- WITHIN 120 SECONDS OF EJECTION..

        I WROTE ABOUT GOLD NANO COLLOIDS TWO YEARS AGO.. THE WHOLE WORLD NOTICEd EXCEPT MODI who wore a mossad sponsored turban in 1976 ).. BECAUSE MY NAME IS NOT ANUSHKA SHARMA..

        http://ajitvadakayil.blogspot.com/2018/05/nipa-virus-deaths-in-kerala-gomutra-of.html

        https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

        IF I WRITE NONSENSE , MY TEN YEARS OF BLOGGING EFFORT WILL COME DOWN LIKE A PACK OF CARDS

        capt ajit vadakayil
        ..

    1. Pranam Sir

      Belated heartfelt wishes for Vishu and the New Year.
      Sir, I came across your blog in year 2011 when I attended the Art of Killing class and got vertigo the next day. Then I started searching Internet to decide if to continue Triple enzyme methods or not. I came across your Nov 2010 post on Pranayama and was so relieved to know the truth. Since then I have been addicted to your blog even though I am not still not able to catch up with all the amrit you have poured into the blog..
      The amount of time you spend is not possible for a normal human being. I always imagine you as a Kalki avataar. I have never followed any Guru except you !

      Dandvat pranam and gratitude for enlightening people like me with 2 strand junk DNA.

      Rajneesh
      1. CHARLATAN SRI SRI RAVISKANKAR WILL BE JAILED FOR LIFE IN SOUTH AMERICA..

        HE HAS KILLED HUNDREDS WITH HIS SUDARSHANA KRIYA SOO HUMM HYPERVENTILATION..

        http://ajitvadakayil.blogspot.com/2016/09/hyperventilation-followed-by-valsalva.html

        capt ajit vadakayil
        ..


    https://twitter.com/ashoswai/status/1250151592353058824




    Why will someone who is issuing death threat emails to me

    will copy those mails to Amit Shah, CBI and Indian

    Ambassador beside others?





    THE ANSWER FROM CAPT AJIT VADAKAYIL --   INDIAN LAW IPC SECTION 121 REQUIRES THAT TRAITORS IN FOREIGN PAYROLL HAVE TO BE HUNG


    malaahmed
    @malaahmed2
    ·
    5h
    This is real fun Face with tears of joy
    Rofl Republic
    @i_theindian
    ·
    5h
    Replying to
    @ashoswai
    Keeping accomplices posted is a good strategy in case something goes wrong!
    2 more replies
    Snehil Mishra
    @snayhill
    ·
    5h
    Replying to
    @ashoswai
    To prove his loyalty Face with tears of joy or may be catch their attention ⚠
    Seerat Raza(Stay Home Stay Safe)
    @iamseeratraza
    ·
    5h
    Replying to
    @ashoswai
    When we email our client, we generally CC our boss and everyone associated with the projectZipper-mouth face
    1 more reply
    கான்ட்ராக்டர்செந்தில்
    @senthilchandr
    ·
    5h
    Replying to
    @ashoswai
    For payment only.. it’s like receipt Rolling on the floor laughingRolling on the floor laughingRolling on the floor laughingRolling on the floor laughing #FoolsParadiseBJP #FascistBJP
    1 more reply
    IndianAmericanVoice
    @IndianAmerican6
    ·
    5h
    Replying to
    @ashoswai
    He may be hired by tadipar
    Dr Kafeel Khan (in solidarity)
    @mo_rehaz
    ·
    5h
    Replying to
    @ashoswai
    Rs 2 per tweet and Rs 5 per e mail.
    Had to tag to show proof.
    Chacko George
    @chackog
    ·
    5h
    Replying to
    @ashoswai
    Employees copy (cc) their managers to let them know that the assigned task has been completed. Wait, did you say death threat emails? Face with open mouth
    Mohd Fasiuddin
    @MohdFasiuddin10
    ·
    5h
    Replying to
    @ashoswai
    Sir ! You must have done something right. That’s always greeted with abuse nowadays.
    MathiMaran
    @MathiMa02738845
    ·
    5h
    Replying to
    @ashoswai
    Because they believe that the judiciary won't be against them with the help of those copied people...




    So Efin Crayy
    @CrayySo
    ·
    5h
    Replying to
    @ashoswai
    They are zeroing on you U will be eliminated as was some judge
    Kalki
    @KaliyugaKalki
    ·
    2h
    Replying to
    @ashoswai
    Suggestion, why not just shut up and sit at home quietly? Solution given
    roflmastergogo
    @roflmastergogo
    ·
    2h
    Replying to
    @ashoswai
    Let Us Not Talk About China
    India is obsessed with China’s development story.We are not only jealous of their military might and economic growth,but also the influence they wield all over the world.But they are  a fundamental…
    abpunch.wordpress.com
    light it up
    @mind_bulbs
    ·
    31m
    Replying to
    @ashoswai
    Cause sanghi's have low iq , i thought this was common knowledge
    मोनूलिसा
    @monulisa_
    ·
    10m
    Replying to
    @ashoswai
    Why will someone issue death threat to a morally corrupt human.
    Deepak phogat
    @deepak_phougat
    ·
    4m
    Replying to
    @ashoswai
    Death is the punishment for traitors.
    Debalina M
    @doseofhumanity_
    ·
    5h
    Replying to
    @ashoswai
    Shame on those idiots
    1 more reply
    Arun Sharma
    @ArunSha98726064
    ·
    3h
    Replying to
    @ashoswai
    You die everyday when you open your mouth
    Maddy
    @Maddy67480681
    ·
    2h
    Truth hurts honey?
    Add your name
    @GilaniSarosh
    ·
    54m
    Replying to
    @ashoswai


    Can you please “reply to all” and write FUCK OFF.! we will never break apart.! Try as much as you can.

    PEON MODI SERVED ASHOK SWAIN TEA



    Congress had offered me a ‘seat’ in 1995, which I had declined.
    In 1995, your Modi was still living in the servant quarters of
    the BJP’s Ashok Road office.











    In the early 1990s, I used to go often to the BJP office to
    interview Their leaders. Still, remember seeing him
    there. On one occasion, he was in the room while I
    was interviewing Vishnu Kant Shastri.







    Because Pakistan has a media, which India does not have anymore!


    Quote Tweet

    Replying to
    and
    That's nice Ashok that's the real big honour we're just enjoying all this it's a real big failure of Modi gov't not only lost their credibility but also unable to control the whole situation Modi already known as butcher of Gujarat & Kashmir now is just compare with Gorbachev .






    1. https://scholar.google.com/citations?hl=en&user=MEPaJDoAAAAJ&view_op=list_works

      ONE OF THE SUBJECTS FOR PHD USED BY THE COMMIE JEWS IS TO DO BRAINWASH BY "AFRICAN STUDIES"..

      IN JNU COMMIE PROFESSORS LIKE ROMILA THAPAR THEY HAVE CREATED TRAITOR NAXALITES LIKE KANHAIYA KUMAR..

      AFTER GADDAFI WAS KILLED THE PM OF LIBYA ALI ZEIDAN WAS A JEWISH DEEP STATE AGENT TRAINED IN JNU BY COMMIE VISITING PROFESSORS FROM COLUMBIA/ BERKELEY USA..

      GADDAFI WAS KILLED BECAUSE HE WANTED TO USE THE WATER FROM THE GREAT NUBIAN AQUIFER FOR LIBYAs NEED TO GROW FOOD FOR HIS PEOPLE ..

      http://ajitvadakayil.blogspot.com/2011/10/ethnic-cleansing-of-blackskinned-people.html

      BUT HEY, THE JEWS HAVE KEPT THIS PRISTINE UNDERWATER WATER MASS FOR THEMSELVES.. LIKE THE GAS UNDER THE ALGERIAN DESERT.

      EVERY COMMIE SOCIAL SCIENCES PROFESSOR MOANS ABOUT WATER PROBLEM IN AFRICA, TO BRAINWASH STUDENTS AND CREATE TRAITOR COMMIES WHO WILL WORK FOR THE JEWISH DEEP STATE.

      NOT MANY PEOPLE KNOW THAT 12,000 YEARS AGO KERALA THIYYA KING SWARBANU JR , BUILT THE SUDAN PYRAMIDS ..

      NOT ONE PYRAMID ON THE PLANET HAS BEEN BUILT FOR PRESERVING DEAD BODIES AS TOMBS..

      AT THE END OF THIS POST BELOW , I SHOW HOW SUDAN PYRAMIDS WERE NATURAL WATER PUMPS TOO EXTRACT WATER FROM THE GREAT NUBIA AQUIFER 12,000 YEARS AGO.. DESIGNED BY THE CALICUT KING ( MY HOMETOWN )..

      http://ajitvadakayil.blogspot.com/2019/08/secrets-of-bent-pyramid-at-dahsur-egypt_1.html

      CAPT AJIT VADAKAYIL ASKS PM MODI..
      IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..



      QUOTE THE EXAMPLE IS PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..


      ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

      https://twitter.com/Kalki783/status/1250094779251281921/photo/1

      THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

      capt ajit vadakayil
      ..



    1. INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY LIAR ASHOK SWAIN ..WHY IS HE RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN--

      EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES .. ALONG WITH SOME INDIAN COMMIES/ NAXALITES..
      https://twitter.com/ashoswai/status/1250078811418439681

      IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

      THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE NATIONS..

      https://www.worldometers.info/coronavirus/

      IN COMPARISON TO INDIAs 0.3 ( WE HAVE 1350 MILLION PEOPLE ) , SWEDEN IS 102..

      SPAIN/ 390
      BELGIUM/ 359
      ITALY / 348
      FRANCE / 241
      UK/ 178
      USA/ 79

      INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

      WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION..BY TRAITORS LIKE ASHOK SWAIN..
      IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES ETC ETC..

      ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..

      https://twitter.com/Kalki783/status/1250094779251281921/photo/1

      HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

      THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

      CAPT AJIT VADAKAYIL ASKS PM MODI..

      IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

      QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

      ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

      capt ajit vadakayil
      ..

      1. PUT ABOVE COMMENT IN WEBSITES OF--
        ASHOK SWAIN ( PUT SCREEN SHOT IN TWITTER SITE-- VERIFY IT )
        PM OF SWEDEN
        AMBASSADOR TO FROM SWEDEN
        DEAN UPPSALA UNIVERSITY
        DONALD TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        AMBASSADOR TO FROM USA / RUSSIA UK/ FRANCE / GERMANY
        PMO
        PM MODI
        MINISTER/ MINISTRY EXTERNAL AFFAIRS.
        AJIT DOVAL
        RAW
        NIA
        IB
        ED
        CBI
        AMIT SHAH
        HOME MINISTER / MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEFS -- PLUS TOP CDS CHIEF
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        COLLECTORS OF MAJOR CITIES OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        NCERT
        EDUCATION MINISTRY/ MINISTER- CENTRE AND STATES
        NITI AYOG
        AMITABH KANT
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        PINARAYI VIJAYAN
        ALL MLAs / MPs OF KERALA
        ALL MEDIA OF KERALA
        ALL COLLECTORS OF KERALA
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        MOHANDAS PAI
        RAJEEV CHANDRASHEKHAR
        DAVID FRAWLEY
        STEPHEN KNAPP
        WILLIAM DALRYMPLE
        KONRAED ELST
        FRANCOIS GAUTIER
        NALIN KOHLI
        GVL NARASIMHA RAO
        SAMBIT PATRA
        ASHOK PANDIT
        ANUPAM KHER
        KANGANA RANAUT
        VIVEK AGNIHOTRI
        MEENAKSHI LEKHI
        SMRITI IRANI
        PRASOON JOSHI
        SWAPAN DASGUPTA
        MADHU KISHWAR
        SUDHIR CHAUDHARY
        GEN GD BAKSHI
        RSN SINGH
        ARNAB GOSWAMI
        NAVIKA KUMAR
        ANAND NARASIMHAN
        UDDHAV THACKREY
        RAJ THACKREY
        SHAZIA ILMI
        CHANDA MITRA
        SRI SRI RAVISHANKAR
        SADGURU JAGGI VASUDEV
        BABA RAMDEV
        THAMBI SUNDAR PICHAI
        SATYA NADELLA
        CEO OF WIKIPEDIA
        QUORA CEO ANGELO D ADAMS
        QUORA MODERATION TEAM
        KURT OF QUORA
        GAUTAM SHEWAKRAMANI
        ALSO SEND TO THE DEANS OF THE FOLLOWING UNIVERSITIES..

        UNESCO Chair of International Water Cooperation, and the Director of Research School of International Water Cooperation at Uppsala University. He has been a Mac Arthur Fellow at the University of Chicago, Fellow at UNRISD, Geneva; and visiting professor at University of British Columbia, University of Maryland, Stanford University, McGill University, Tufts University and University of Natural Sciences and Life Sciences, Vienna.

        ENTIRE BBC GANG
        ROMILA THAPAR
        IRFAN HABIB
        VC OF TISS/ DU/ JU/ JNU
        SOCIAL SCIENCES PROFESSORS OF TISS/ DU/ JU/ JNU

        SPREAD ON SOCIAL MEDIA



    1. This desh drohi ashok swain was offered a seat by italian maino waitress party in 1995.

      https://mobile.twitter.com/ashoswai/status/1106833844102197249

      This desh drohi is a favourite of pakistan

      https://mobile.twitter.com/ashoswai/status/1207629510558044160
      1. IF I WERE PM

        SONIA GANDHI WOULD HANG FOR FORMING NAC AND RULING WITH FOREIGNERS LIKE BELGIAN JEAN DREZE ( WHOSE WIFE BELA BHATIA IS A NAXALITE ).

        READ BOTH PARTS OF THE POST BELOW-

        https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

        capt ajit vadakayil
        ..



    1. WE THE PEOPLE ASK MODI..

      DID YOU SERVE TEA AS A CHAIWALA PEON TO SWEDISH PROFESSOR ASHOK SWAIN IN 1995 ?


      https://mobile.twitter.com/ashoswai/status/1106833844102197249

      THIS TRAITOR IS A FAVOURITE OF PAKISTAN AND IS IN PAKISTANI ISI PAYROLL..

      https://mobile.twitter.com/ashoswai/status/1207629510558044160

      IF I WERE PM

      ITALIAN MAINO JEWESS SONIA GANDHI WOULD HANG FOR FORMING NAC AND RULING INDIA AS EMPRESS WITH FOREIGNERS LIKE BELGIAN JEAN DREZE ( WHOSE WIFE BELA BHATIA IS A NAXALITE ).

      READ BOTH PARTS OF THE POST BELOW-

      https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF--
        ASHOK SWAIN ( PUT SCREEN SHOT IN TWITTER SITE-- VERIFY IT )
        PM OF SWEDEN
        AMBASSADOR TO FROM SWEDEN
        DEAN UPPSALA UNIVERSITY
        DONALD TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        AMBASSADOR TO FROM USA / RUSSIA UK/ FRANCE / GERMANY
        PMO
        PM MODI
        MINISTER/ MINISTRY EXTERNAL AFFAIRS.
        AJIT DOVAL
        RAW
        NIA
        IB
        ED
        CBI
        AMIT SHAH
        HOME MINISTER / MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEFS -- PLUS TOP CDS CHIEF
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        COLLECTORS OF MAJOR CITIES OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        NCERT
        EDUCATION MINISTRY/ MINISTER- CENTRE AND STATES
        NITI AYOG
        AMITABH KANT
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
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        ALL MLAs / MPs OF KERALA
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        RSS
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        CEO OF WIKIPEDIA
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        QUORA MODERATION TEAM
        KURT OF QUORA
        GAUTAM SHEWAKRAMANI
        ALSO SEND TO THE DEANS OF THE FOLLOWING UNIVERSITIES..

        UNESCO Chair of International Water Cooperation, and the Director of Research School of International Water Cooperation at Uppsala University. He has been a Mac Arthur Fellow at the University of Chicago, Fellow at UNRISD, Geneva; and visiting professor at University of British Columbia, University of Maryland, Stanford University, McGill University, Tufts University and University of Natural Sciences and Life Sciences, Vienna.

        ENTIRE BBC GANG
        ROMILA THAPAR
        IRFAN HABIB
        VC OF TISS/ DU/ JU/ JNU
        SOCIAL SCIENCES PROFESSORS OF TISS/ DU/ JU/ JNU



        SPREAD ON SOCIAL MEDIA


































  • Ashok Swain is a product of JNU.
    His father was a Congressman, native Puri, Odisha.
    Except Desh Drohi Odia who make a good number in terms of being highly educated, no one likes this fellow in Odisha.

    A typical highly educated self loathing Odia ditto speaks in the same manner as in the link as if a great intellectual.
    Fake accent, ducked lips & eye movements.
    https://youtu.be/B8EUBYVj9XQ

    Odisha is slightly different comparatively.
    Odia people get heavily fascinated if an Odia speaks English & is settle abroad.
    They get charmed by the above & hardly care if the person is an Anti-National or anything else.

    Lutyen Delhi's former heartthrob, Mr.Naveen Patnaik is very unpredictable.
    KIIT University is run by a Desh Drohi fellow Achyuta Samanta & most of the Professors working with KIIT are LEFTIST.
    Achyuta Samanta was Rajya Sabha member from BJD ticket & is instrumental in converting Tribals of Odisha to Christianity.
    Samanta is now Lok Sabha member from BJD.
    Kalinga TV run by Achyuta Samanta got Ashok Swain as their guest to speak on Water management.
    https://youtu.be/lCPOfFyYbNM

    Sasmit Patra is now the BJD MP to Rajya Sabha & is a Christian.
    Patra's father was a crusader for the rights of Christian minorities in Odisha.
    Jesuit Society Eastern India has strong holds/influences on BJD & Naveen Patnaik.

    Most bouncers of Naveen Patnaik who are working abroad will tag POLICE & demand arrest if they see any tweet of an Odia fellow supporting Hindutva ideology against Islam or Christianity.
    These Bouncers with their watchdogs in Odisha who are proud to be Sickular, keep a Hawk's eye & report at lightning speed to Odisha Police, also Odisha Police is quick to respond to such reporting.
    Odisha Police has many a times asked to remove TRUTH, the Truth we mention about Muslims & Christians.
    Recently Odisha Police was doing round the clock monitoring for any Social Media post which has negative mention of Tablighi Jamaat & took immediate action on the person who has posted it.
    On Social Media we young Odia folks have become more careful in posting anything related to religion.

    Ashok Swain is used as a prop, for BJD to do a cock a snook to BJP, this fellow gets invited & will be further invited by personal favourite Bureaucrats of Naveen Patnaik.
    Naveen Patnaik is under the spell of a Tamilian fellow V.K.Pandian.
    This Tamilian fellow Pandian is super CM.
    Naveen Patnaik is just on Chair.
    Odisha is gradually becoming second Tamil Nadu.
    Almost all the young educated youths in Odisha hate this Tamilian fellow V.K.Pandian but we are Helpless.

  • THANKS

    WHERE IS ASHOK SWAINs ANCESTRAL HOME?


    1. https://twitter.com/ashoswai/status/1250417268552372225

      CAPT AJIT VADAKAYIL HAS THIS MESSAGE TO ASHOK SWAIN..

      ALL YOUR FOLLOWERS AND REGULAR READERS HAVE BEEN PROFILED.. SOME OF THEM ARE URBAN NAXALS WITH CASES AGAINST THEM..

      ALL OF THEM DESERVE CONGRATULATIONS.. THEY HAVE ENTERED THE DESH DROHI DATABASE..

      WE HAVE ALSO IDENTIFIED PAKISTANI ISI CYBER CELL USING HINDU NAMES .. PIECE OF CAKE..

      YOUR UNIVERSITY WHO EMPLOYS YOU NOW HAVE A PROFILE ON YOU.. ALL IN GOOD TIME..

      YOUR ANTI-INDIA , ANTI-HINDU TAANDAV IS NOW OVER..

      ANTI-INDIAN FORCES WHO HAVE FUNDED YOU HAVE BEEN CARELESS.

      ASHOK BABY, DONT TRY AND COMPETE AGAINST OR IMPRESS A BLOGGER WHOSE GOOGLE PROFILE VIEW IS 1023 MILLION..

      https://www.blogger.com/profile/14410812789424637654

      capt ajit vadakayil
      ..


    BELOW: THIS BASTARD WHITE JEW COMMIE PROF SAYS HE TEACHES SANSKRIT





    1. https://twitter.com/pointblanc_9960/status/1250351703091642381

      TELL THIS STUPID WOMAN SABA NAQVI THAT CIPLA IS OWNED BY A JEW..

      YUSUF KHWAJA HAMIED IS A JEW AND MERE FRONT OF JEW ROTHSCHILD WHO RULED INDIA.. CIPLA, INDIA'S OLDEST PHARMACEUTICAL COMPANY IN 1935 WAS OWNED BY JEW ROTHSCHILD..

      CIPLA USED INDIANS AS GUINEA PIGS FOR ANTI-FERTILITY DRUGS ..

      CIPLA IS WORTH 1.7 BILLION USD TODAY.. HIS SON JEW YUSUF HAMIED ( MOTHER LITHUANIAN JEWESS LUBA DERCZANSKA) WAS CHAIRMAN OF CIPLA ..

      YUSUF IS THE ARABIC FORM OF THE HEBREW NAME JOSEPH.


      JEW AFRIDI PRESIDENT ZAKIR HUSAIN WAS SEEN PRAYING OFTEN IN THE SHAAR HASHAMAIM SYNAGOGUE IN THANE

      JEW YUSUF PAID FOR THE RECONSTRUCTION OF THE SYNAGOGUE..

      SALMAN KHURSHID ( WHO SHOWS THAT HE IS A HARDCORE CONGRESSMAN MUSLIM ) IS ZAKIR HUSSAIN’S GRANDSON..

      I HAVE GIVEN DETAILED EXPLANATION WITH PHOTOS IN THE POST BELOW--

      http://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

      CRYPTO JEW AIR SYED AHMAD KHAN , CRYPTO JEW MOHAMMAD ALI JINNAH, CRYPTO JEW ALLAMA IQBAL ( POET ) AND CRYPTO JEW MOHAMMAD ALI JAUHAR ARE RESPONSIBLE FOR WEDGING AWAY PAKISTAN. . .

      AMU WAS FOUNDED IN 1975 BY JEW ROTHSCHILD TO CREATE A BREED OF CRYPTO JEW INTELLECTUALS WHO WOULD LEAD INDIAN MUSLIMS..

      THIS WAS IN CONSONANCE WITH HIS SLOGAN " IF YOU WANT TO CONTROL THE OPPOSITION, LEAD THEM YOURSELF ".

      AMU WAS FOUNDED BY ZIONIST JEW FUNDS . . WAHABBI AND SALAFI FUNDS ARE JEWISH ..

      ALL INITIAL PATRONS OF AMU WERE CRYPTO JEWS .. INCLUDING PATRON FOUNDER JEW SIR SYED AHMAD KHAN WHO WAS AN AGENT OF JEW ROTHSCHILD..

      JEW MOHAMMAD ALI JAUHAR WAS A PATRON OF AMU..

      SABA BABY-- IF CAPT AJIT VADAKAYIL REVEALS YOUR ANCESTRY, MUSLIMS IN INDIA WILL THROW STONES AT YOU.. EASY BABY..

      AZIM PREMJI DOES NOT DO NAMAZ...DONT MAKE ME SAY MORE..

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF--
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        ENTIRE BBC GANG
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        MAJOR WORLD MEDIA

        SPREAD ON SOCIAL MEDIA



    1. SOMEBODY CALLED ME UP AND CRIED..

      CAPTAIN..

      YOUR QUESTION ” DOES NCW KNOW WHY YOUNG GIRLS RUN AWAY FROM RANA AYYUB ?“..

      WENT OVER MY HEAD LIKE A BOUNCER..

      COULD YOU THROW SOME MORE LIGHT--- PLEAJJE, KINDLY.

      NEHRU HAD A TORRID TIME WHEN EDWINA MOUNTBATTEN TWISTED HIS ARM ALMOST EVERY WEEK..

      YOUNG PRE-TEEN BOYS EMPLOYED IN THE PANTRY OF VICEROY PALACE RAN WAY.. NEHRU HAD TO REPLACE THESE SMALL BOYS WITH NEW ONES..

      DISCRETION AND SECRECY WAS THE WATCHWORD..


      "LORD MOUNTBATTEN AND HIS INDIAN PANTRY BOYS" IS A SUBJECT IN ITSELF ( SEE A GROUP PICTURE IN THE POST BELOW)..

      THE PHOTO WAS FOR INSURANCE..

      DEAD BOYS TELL NO TALES..


      http://ajitvadakayil.blogspot.com/2016/01/of-honey-traps-and-pots-capt-ajit.html

      WHEN YOU USE POWER LADEN " EXCEPTIONALISM " , THE CHICKEN ALWAYS COME HOME TO ROOST.. IRA KNEW WHEN / WHERE/ HOW TO KILL LORD MOUNTBATTEN.

      AMERICAN EXCEPTIONALISM CHICKEN HAVE COME HOME TO ROOST.. CORONAVIRUS PANDEMIC IS A GREAT LEVELER..

      capt ajit vadakayil
      ..
      .


      1. PUT ABOVE COMMENT IN WEBSITES OF—
        PM OF IRELAND
        BORIS JOHNSON
        TRUMP
        PUTIN
        MACRON
        ANGELA MERKEL
        AMBASSADORS TO FROM IRELAND/ UK/ USA/ RUSSIA/ FRANCE/ GERMANY
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        SPREAD ON SOCIAL MEDIA

    1. SOMEBODY CALLED ME UP AND CRIED

      CAPTAIN

      YOU HAVE WRITTEN THAT GERMAN JEW ROTHSCHILD PLANNED EUROPEAN UNION WITH COMMON CURRENCY EURO AND SEAMLESS BOUNDARIES ( SCHENGEN VISA / FREE DRIVE PAST BORDERS ) A CENTURY AGO - LIKE HE ALWAYS DOES ..

      CAN YOU AUTHENTICATE ?

      JEW ROTHSCHILD SPONSORED PIR ALI MUSLIM POET RABINDRANATH TAGORE, THE GRANDSON OF HIS OPIUM DRUG RUNNING PARTNER DWARAKNATH TAGORE , WHO ALSO OWNED THE BIGGEST WHOREHOUSE OF THE PLANET NAMED SONAGACHI IN CALCUTTA..

      ROTHSCHILD GAVE POET RABINDRANATH TAGORE NOBEL PRIZE FOR A VERSE HE WROTE IN GITANJALI..
      THIS VERSE ABOUT SEAMLESS BOUNDARIES AND HEAVEN OF FREEDOM WAS ACTUALLY WRITTEN BY ROTHSCHILDs AGENT POET YB YEATS AND REVERSE TRANSLATED TO BENGALI.. IT IS HIS STYLE ,I KNOW..

      I WON PRIZES IN SCHOOL POETRY RECITATION COMPETITIONS WITH POEMS OF YB YEATS.

      http://ajitvadakayil.blogspot.com/2010/12/nobel-prize-and-knighthood-for-tagore.html

      QUOTE: WHERE THE WORLD HAS NOT BEEN BROKEN UP

      INTO FRAGMENTS BY NARROW DOMESTIC WALLS;

      BLAH BLAH FUCKIN’ BLAH

      INTO THAT HEAVEN OF FREEDOM, MY FATHER, LET MY COUNTRY AWAKE. : UNQUOTE
      OUR INDIAN NATIONAL ANTHEM WAS WRITTEN BY POET TAGORE FOR THE BRITISH KING GEORGE V WHEN HE VISITED INDIA.

      QUOTE: THOU ARE THE RULER OF THE MINDS OF ALL PEOPLE, DISPENSER OF INDIA'S DESTINY.

      THE SALVATION OF ALL PEOPLE IS THY HAND, THOU DISPENSER OF INDIA'S DESTINY.

      BLAH BLAH FUCKIN’ BLAH

      VICTORY, VICTORY, VICTORY TO THEE. : UNQUOTE


      THIS IS SYCOPHANCY AT ITS BEST..

      OPIUM DRUG RUNNER DWARAKNATH TAGORE WAS PART OF THE SEEDING GANG FOR CHINESE SLAVERY IN USA VIA THE TAIPING REBEION..

      http://ajitvadakayil.blogspot.com/2011/08/opium-drug-running-tagore-family-capt.html

      DWARAKNATH TAGOREs WHOREHOUSE CATERED TO SEX FOR WHITE BRITISH OFFICERS WHO HAD PEDOPHILA AND HOMOSEXUAL TASTES..

      CHINESE SLAVERY IN USA IS KEPT AS A GREAT SECRET..

      READ BOTH PARTS OF THE POST BELOW-

      https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

      CARBON TRADING/ CAP & TRADE/ OFFET ETC WAS A SINISTER AND CLANDESTINE WAY FOR JEWS TO MAKE MONEY OUT OF THIN AIR AND MORE IMPORTANTLY AN INSTRUMENT FOR MASSIVE MONEY LAUNDERING ON A GLOBAL SCALE..

      THERE IS NO NEED TO DELIVER GOODS, NO INVENTORIES IN WAREHOUSES, NO SHIPPING DOCUMENTS TO ISSUE, OR RELEASES TO DRAFT. THERE IS NO INSURANCE, AIRFREIGHT, ROAD FREIGHT, OR MULTIPLE BANK ACCOUNTS NEEDED IN THIS CARBON TRADE MARKET.

      ILLEGITIMATE TRANSACTIONS CAN BE CONDUCTED FROM A KOSHER LAP TOP.

      THIS IS CLASSIC JEWISH MONEY MAKING OUT OF THIN AIR.. THERE IS NO LEGALLY AGREED DEFINITION AS TO WHAT “CARBON” IS OR HOW IT SHOULD BE ACCOUNTED FOR.

      THIS IS HOW JEW ROTHSCHILD MADE/ LAUNDERED MONEY WITH TULIPS..

      TRUTHS LONG BURIED WILL BE EXHUMED BY A BROWN SKINNED BLOGGER . HE ONLY CARES TO HEAL THE FESTERING WOUNDS INFLICTED ON MOTHER INDIA..

      http://ajitvadakayil.blogspot.com/2014/02/devadasi-system-immoral-lie-of-temple.html

      capt ajit vadakayil
      ..

      1. .
        PUT ABOVE COMMENT IN WEBSITES OF--
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ FRANCE/ GERMANY/ UK/ CHINA
        EDITOR GLOBAL TIMES HU XIJIN
        EVERY AMBASSADOR TO FROM US NATIONS
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    WARNING WARNING WARNING – THIS WILL BE THE MOST GRUESOME AND TERRIFYING MESSAGE YOU WOULD HAVE EVER READ IN YOUR LIVES

    SUBJECT : BURIAL OF COVID -19 PANDEMIC DEAD BODIES IN WATER LOGGED SOIL, INFECTING GROUND WATER AND AQUIFERS.
    ###############################################

    FIRST LET ME INTRODUCE MYSELF..

    MY NAME IS CAPT AJIT VADAKAYIL, THIS PLANETs NO 1 WRITER..

    MY RELEVANT CREDENTIALS ?

    WHEN WHO/ US CDC WAS EXHORTING PEOPLE NOT TO WEAR MASKS DURING THIS PANDEMIC, VADAKAYIL WAS THE FIRST TO TELL THEM ABOUT ASYMPTOMATIC SLEEPER CARRIERS OF CORONAVIRUS..

    I DECLARED THAT 95% OF PEOPLE IN ICELAND ARE ASYMPOMATIC.. AND WARNED WHO/ CDC ABOUT “ TYPHOID MARY” AND “VIETNAM ROSE”.. THIS IS ON RECORD..

    GETTING TO THE POINT..

    WARNING—  DO NOT BURY CORONAVIRUS DEAD IN SOIL PRONE TO WATER LOGGING ( LIKE IN KERALA DURING MONSOON ), LEST WE BRING CHICKENS HOME TO ROOST LIKE A KODINHI... THE NUMBER OF TWINS AND LEFT HANDED BABIES ARE DOUBLE.. IT IS UNDER REPORTED..

    https://en.wikipedia.org/wiki/Kodinhi

    JEW ROTHSCHILD SEND HIS AGENTS KATHIWARI JEW GANDHI AND JEW MOHAMMD ALI JAUHAR TO KERALA TO DRIVE A WEDGE BETWEEN HINDUS AND MUSLIMS WHO CO-EXISTED..CLASSIC DIVIDE ND RULE.. THIS CAUSED THE MOPAH REVOLT..

    THE WIKIPEDIA POST BELOW IS 99 % BULLSHIT..

    https://en.wikipedia.org/wiki/Malabar_rebellion

    MORE THAN 1,00000 ( ONE LAKH ) HINDUS WERE DRIVEN AWAY FROM THEIR HOMES.. BY CLASSIC ARAB DESERT WARFARE .. CONTAMINATE ALL WELLS , PONDS, RIVERS AND AQUIFERS WITH BEHEADED SKULLS AND CORPSE BODY PARTS OF SLAIN HINDUS..

    THEY DID IT.. BUT CHICKENS CAME HOME TO ROOST..   EFFECT WAS AFTER THE STORM BLEW OVER, MUSLIMS SETTLED DOWN IN GRABBED LANDS .. THEIR FUTURE GENERATIONS DNA WAS CORRUPTED – LEFT HANDED HOMOSEXUALS ..

    http://ajitvadakayil.blogspot.com/2019/12/how-to-release-trapped-and-miserable.html

    THIS POST BELOW WHICH I PENNED 8 YEARS AGO, IS BANNED BY GOOGLE/ FACEBOOK/ TWITTER / QUORA.

    http://ajitvadakayil.blogspot.com/2012/11/rip-impossible-with-burial-world-is.html

    WARNING: SARS-COV-2 VIRUS IS A LAB MADE SPLICED VIRUS, WHICH HAS THE UNIQUE ABILITY TO LIE DORMANT UNLIKE OTHER VIRUSES..
    ASYMPTOMATIC SLEEPER CARRIERS WILL FALL SICK AS SOON AS THE DORMANT VIRUSES IN THE BODY ARE ACTIVATED ( THERE ARE MANY MEANS TO DO THIS INCLUDING IONIZING RADIATION FRAZZLING TELOMERES / FEAR ETC ) ..
    http://ajitvadakayil.blogspot.com/2018/07/metastatic-cancer-spurt-in-india-capt.html

    https://ajitvadakayil.blogspot.com/2020/04/coronavirus-covid-19-sars-cov-2.html

    EVER HEARD OF A BABY EATING ( CANNIBALIZING ) HIS/ HER SIBLING INSIDE THE MOTHERs WOMB?   THE PREDATOR BABY IS ALWAYS A LEFT HANDED BABY.. PREDOMINANTLY HOMOSEXUAL AND MEAN ..
    MODERN SCIENCE HAS NOT COME INTO TERMS WITH THE “VANISHING TWIN SYNDROME”..

    WHY DOES EUROPE HAVE THE LEFT HANDED HOMOSEXUAL PROBLEM?

    BECAUSE IN THE DARK AGES , THEY DID CANNIBALISM.. INDEED GERMAN HANSEL AND GRETEL STORY IS TRUE.

    JEW HITLER ELIMINATED “PILLOW BITERS” .. THEY WERE UNWANTED IN THE PROMISED LAND..
    http://ajitvadakayil.blogspot.com/2015/10/if-zionist-jews-created-isis-who.html

    DOES SCIENCE EVER MEET VEDANTA ?

    VISHNUs EIGHT AVATAR KRISHNAs UNWRITTEN JOB WAS TO ELIMINATED 100 KAURAVA TEST TUBE BABIES..

    http://ajitvadakayil.blogspot.com/2015/09/ethics-of-human-cloning-decided-6000.html

    http://ajitvadakayil.blogspot.com/2016/10/epidurals-when-chutney-mary-fails-her.html

    WHEN A MOTHER DOES NOT BREAST FEED HER BABY IN THE FIRST MONTH, THE CHILD BECOMES A CRIMINAL..

    JEW ROTHSCHILD CREATED SUCH CRIMINAL CLANS TO DO HIS OPIUM DRUG RUNNING.. INDEED TRUTH IS SOMETIMES STRANGER THAN FICTION.

    http://ajitvadakayil.blogspot.com/2018/04/salman-khan-chinkara-poaching-jail-term.html

    I HAVE EXPLAINED IN MORE DETAIL IN THE POST BELOW- READ BOTH PARTS ..

    http://ajitvadakayil.blogspot.com/2018/03/down-syndrome-trisomy-21-caused-by-ivf.html

    capt ajit vadakayil
    ..


    BELOW:   THORTHU.. I TOOK IT WITH ME ON SHIPS.. 

    IF YOU HAVE TO GO INTO THE SUN IN A HOT PLACE JUST SOAK THE THORTHU IN WATER, WRING IT AND COVER YOU HEAD AND FACE ( LIKE  AN ARAB ).. YOUR FACE WILL FEEL AS IF IT IS IN AC..  THE THORTHU WILL DRY UP VERY FAST.. 


    1. Coronavirus is a godsend. In the last month in India coronavirus has killed less people than cancer, heart attack, liver failure, kidney failure, car accidents, dengue...

      But coronavirus has stopped handshakes, gutkha spitting, crowding.

      All the Westernized Indians will suffer but real Indians will take in stride. Pre-marital sex will also decline if this continues...

      Kalki effect indeed! Mainly Western countries are suffering ... they need to get more sunlight!!
      .
      1. 30 YEARS AGO

        IN KERALA HOMES

        YOU CANNOT ENTER UNLESS YOU REMOVE YOUR FOOTWEAR AND WASH YOUR FACE , HANDS AND FEET , WITH A KINDI FILLED WITH WATER, KEPT AT THE DOORSTEP..

        THE FACE AND HANDS ARE THEN WIPED DRY WITH A THORTHU MUDU.. EVEN TODAY MY FAMILY USES THORTHU INSTEAD OF A BATH TOWEL.. THIS INLUDES MY ELDER SON..

        AT ANY TIME, WHEN I OPEN THE WARDROBE , I CAN SEE 50 CRISP DRY THORTHUS ( DEVOID OF BACTERIA / FUNGI ) STACKED UP.. IT IS EASY TO WASH AND DRY..AND IS VERY LIGHT..

        TWENTY THORTHUS WEIGH AS MUCH AS A SINGLE TURKISH BATH TOWEL KEPT IN A 5 STAR HOTEL.

        IT EXFOLIATES AS IT IS LIKE A GUAZE BANDAGE ..WITH WARP AND WEFT.. YOU LOVE THE ROUGH RUB.. ESPECIALLY ON WET BALLS

        https://www.indianshelf.in/golden-brass-kindi-water-pot-with-a-curved-spout/

        YOU ASK A MALAYALI-- WHAT IS KINDI/ THORTHU MUNDU

        IF HE DOES NOT KNOW --HE IS NOT A MALAYALI..

        https://www.amazon.in/THORTH-KERALA-COTTON-THORTHU-Towels/dp/B07BGGFJTB

        WHEN I GO FOR AN AYURVEDA MASSAGE, THIS THORTHU IS SINGLE USE..

        THE COLOUR STRIPE ON THORTHU IS LIKE COLOR ON TOOTHBRUSH.. SO THAT MEMBERS OF FAMILY USE THEIR OWN COLOUR ALWAYS.. VISITORS SEPARATE COLOR..

        A BRAND NEW THORTHU FROM THE SHOP IS NEVER USED .. YOU HAVE TO FIRST WASH IT IN WASHING SODA, TO REMOVE ANY GREASY FINISH AND DRY IT CRISP..

        capt ajit vadakayil
        ..
    BELOW: A KINDI HOLDS TWO LITRES OF WATER ..  WE KEEP OUR FOOTWEAR OUTSIDE THE FRONT DOOR.







    Captain,
    Will this plasma therapy effective to treat coronavirus?India is also set to begin this treatment it seems.

    https://www.financialexpress.com/lifestyle/health/coronavirus-treatment-india-set-to-treat-covid-19-infection-with-plasma-therapy-how-does-it-work-details/1925609/




    BELOW:  VISHU KANI ( CORNUCOPIA ) .. 

    IN THIS TIME OF PANDEMIC LOCKOUT MANY ESSENTIALS ARE MISSING LIKE GOLDEN KONNA FLOWERS , NAI APPAM ETC..

    IF A MALAYALI HINDU WOMAN DOES NOT KEEP KANI, AND GIVE " KAI NEETAM " TO HER CHILDREN WHAT IS SHE WORTH AS A HOME MAKER ?

    IT WAS HEARTENING TO SEE MY WIFE COVERING THE EYES OF HER HULK YOUNGER SON AND BRING HIM TO THE KANI SPOT THROUGH THE DARK AT 0430 AM...  

    THIS IS WHAT MAKES LIFE WORTHWHILE..  

    THIS IS WHAT MAKES A HOUSE A HOME..




    BELOW: DHONIs DAUGHTER SINGING VISHU KANI SONG




    1. I WISH ALL MY READERS A HAPPY VISHU.. ONE OF THE OLDEST FESTIVALS OF THIS PLANET

      IT IS ON 14TH APRIL 2020..

      OUR FESTIVALS HAVE MEANING..  STEEPED IN ASTRONOMY, WE KNOW HOW THE WHITE MAN STOLE OUR ASTRONOMY AND PATENTED IT IN THEIR NAMES..

      KING MAHABALI LEFT HIS MARK FOR TWO KERALA FESTIVALS ONAM AND VISHU 12,000 YEARS AGO..

      KERALA KINGS OF THE DANAVA CIVILIZATION ( FROM WHERE SANATANA DHARMA SPROUTED 400 CENTURIES AGO ) RULED THIS PLANET..

      NOBODY KNEW WHY THE INTIGUATANA STONE ON THE HIGHEST POINT OF MACHU PICCHU IS ANGLED TO 13.1 DEGREES , TILL I REVEALED IT.. IT HAS THE SAME PRINCIPLE OF LATITUDE AND DECLINATION BEING SAME LIKE FOR VISHU..

      I DONT GIVE PROOFS, USUALLY .. DONT EVER THINK I AM FEEDING YOU WITH BULL.. I DONT WANT TO BREAK MY HEAD OVER LCD QUERIES..


      WE HAVE A PRICELESS CULTURE, BE PROUD OF IT...

      DONT GET IMPRESSED BY THE WESTERN FESTIVALS WHERE DRUNKEN/ DRUGGED PEOPLE SHOW ROTTEN TWATS AND PRICKS AND FORNICATE ON THE STREETS, WITH PEOPLE THROWING BEADS AT THEM FOR GOOD PERFORMAMCE


      capt ajit vadakayil
      ..



    1. https://www.worldometers.info/coronavirus/

      COVID -19 HAS SHOWN AMERICA THE HARD WAY HOW AMERICAN EXCEPTIONALISM CHICKEN CAN COME HOME TO ROOST..

      EVEN DURING THIS HOUR OF PANDEMIC CHILDREN IN VENEZUELA/ NORTH KOREA/ IRAN/ YEMEN ARE DYING ..THANKS TO AMERICAN EXCEPTIONALISM SANCTIONS..

      MODI DOES NOT HAVE THE BALLS TO SEND THESE NATIONS SOME LIFESAVING MEDICINES.. HE MAY NOT GET THE JEWISH NOBEL PRIZE..

      AMERICAN EXCEPTIONALISM IS ROOTED IN TERRIFIC IGNORANCE OF THE HILLY BILLY YANK, USED TO THE SYSTEM OF THE RIDING POSSE CHASING THE BAD OUTLAW..

      THEY TRIED TO MAKE PUTIN THIS OUTLAW AND FELL PHUTT ON THEIR FACES FROM THEIR UPPITY HORSES..

      AMERICAN SHIT DOES SMELL.

      AMERICAN BOMBS ARE NOT GOOD BOMBS

      CORONAVIRUS AS A CALAMITY HAS PROVED TO BE A GREAT LEVELER..

      FOUR GENERATIONS OF NORTH KOREANS HAVE NOT SEEN PROPER FOOD..

      http://ajitvadakayil.blogspot.com/2017/03/regime-change-in-north-korea-rare.html

      WE KNOW WHAT HAPPENED IN HIROSHIMA/ NAGASAKI..

      http://ajitvadakayil.blogspot.com/2017/03/japanese-in-hiroshima-and-nagasaki.html

      AMERICAN CHILDREN DO NOT KNOW OF FOUL CHINESE SLAVERY IN USA.. THEY ONLY MOAN OVER THE BLACK SLAVE.

      https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

      capt ajit vadakayil
      ..

    2. BELOW:  FOOLING THE MUSLIM PEOPLE WITH HYPERVENTILATION .. 

      THE RESULT IS NOT "ALLAH EFFECT"  , IT IS CONMAN EFFECT..







    CAPT AJIT VADAKAYIL
    ..

    DATABASE OF ANTI-WATAN , ANTI-HINDU INDIANS ON THE INTERNET. Part 2 -- CAPT AJIT VADAKAYIL

    $
    0
    0


    THIS POST IS CONTINUED FROM PART 1, BELOW--


    http://ajitvadakayil.blogspot.com/2019/05/database-of-anti-watan-anti-hindu.html


    SOMEBODY CALLED ME UP AND CRIED..

    CAPTAIN

    YOU HAD WRITTEN THAT YOUR ELDER SON GOT INTO CORNELL COMPUTER SCIENCE STRAIN ,BECAUSE OF A RECOMMENDATION LETTER FROM HIS UNDER GRADUATE PROFESSOR..

    WHAT WAS IT?

    THE LETTER HAD ONLY ONE SINGLE LINE " THIS BOY HAS THE SEEDS OF THE FUTURE WITHIN HIM "..

    ALL UNIVERSITIES ASK FOR THREE RECOMMENDATION LETTERS .. THESE LETTERS ARE USUALLY LONG--"HES IS LIKE THIS.. HE IS LIKE THAT--BLAH BLAH " ..

    THIS LETTER WAS EXPECTED TO BE AROUND 400 WORDS LONG ON UNIVERSITY LETTERHEAD WITH STAMP.. AS PER CORNELL REQUIREMENT..

    BUT A SINGLE LINE LETTER CATCHES INSTANT ATTENTION.. IT IS TOO POWERFUL TO BE IGNORED.. HIS PROFESSOR IGNORED THE 400 WORD REQUIREMENT..

    https://www.mcgill.ca/caps/students/gradschool/references

    MY SON WAS 8 YEARS OLD WHEN HE ASKED ME ABOUT THE HOLE IN THE CENTRE OF THE CIRCULAR RAT GUARD..

    http://ajitvadakayil.blogspot.com/2011/01/snow-shovelling-and-backache-capt-ajit.html

    I ASKED MY WIFE THE SAME DAY " IS CENTRE OF GRAVITY IN HIS NCERT SCHOOL SYLLABUS IN PHYSICS"..

    SHE SAID "NO".

    THAT WAS THE MOMENT I DECIDED "MY SON WONT JOIN THE SEA"..

    HE WILL FALL INTO TROUBLE WITH HIS SUPERIORS.. THE WAY PAPA VADAKAYIL GOT INTO TROUBLE FOR FULL 40 YEARS AT SEA..

    I AM A HARDCORE.. BOTH MY SONS ARE SENSITIVE AND SOFT ( MY WIFEs DNA ) .. BOTH ARE STRONG TO FUCK MEN TWICE THEIR SIZE..

    I WILL GIVE AN EXAMPLE OF MYSELF-- FROM MORE THAN THOUSAND SUCH CASES...

    http://ajitvadakayil.blogspot.com/2011/01/naive-sailor-streaming-ships-log-walker.html

    THE OLD CAPTAIN EXAMINER OF DG SHIPPING COULD HAVE KICKED ME OUT.. HE DID NOT.. HE HAD NO EGO HASSLES..

    IN 1973 AFTER MY PRINCIPLES OF NAVIGATION CLASS , I APPROACHED THE LECTURER ( CAPTAIN SK PURI ) IN A PRIVATE PLACE ON DECK.. I WAS JUST A 16 YEAR OLD BOY.

    I TOLD HIM, THIS PLANET HAS MOVED FROM GHA ARIES TO GHA PISCES..

    HE HISSED AT ME FOR BEING ARROGANT.. HE ASKED ME “ALL NAVIGATION TEXTS WRITTEN IN BRITAIN ARE WRONG? YOU ARE THE WISE GUY ?? ”

    HE NEVER FORGOT OR FORGAVE --

    IN MY SENIOR FORM , SK PURI FAILED ME IN STAR REC TICK AND SAILING TICK..

    HE KEPT GIVING ME NEGATIVE MARKS FOR OLQ ( OFFICER LIKE QUALITIES ). I HAD TO REPORT FOR COH ( COURT OF HONOR ) WHICH MEANT I LOST MY SHORE LEAVES OFTEN..

    WE IN STARBOARD FORE , WERE SAILING CHAMPS IN BOTH YEARS -- AND I WAS IN CHARGE OF THE BOW SAIL .. NEVER MISSES A TACK OR A GYBE..

    HECK-- I DID NOT EVEN GET SPORTS TICK THOUGH I WAS PART OF THE PLAYING SHIP SOCCER TEAM ( NEVER ON BENCH – AS I WAS GOAL KEEPER ) , IN BOTH YEARS -- AND PART OF THE STARBOARD FORE CHAMPION SOCCER TEAM IN BOTH YEARS

    AND FOR FINAL PASSING OUT --

    I GOT AN EXTRA FIRST IN EVERY SUBJECT -- BUT FAILED IN OLQ

    CAPT SK PURI’S SUPERIOR OFFICER CAPTS KRIPS UPGRADED ME TO GRACED TO FIRST -- THAT IS WHAT IS WRITTEN ON MY RFPO CERTIFICATE

    I WAS LUCKY AS I WENT TO KRIPS FOR MY FINAL ORALS BEFORE PASSING OUT.. HE WAS MAHAA IMPRESSED.. I GAVE ANSWERS FAR BEYOND HIS EXPECTATIONS..

    THIS SEVERE LESSON ADMINISTERED BY SK PURI WAS NEVER LOST ON ME..

    THIS ANGREZ KA AULAD PNJAAABI PUTTAR GOT TERRIBLY ANGRY WITH ME FOR SUGGESTING THAT THE WHITE MAN LEARNT ASTRONOMY FROM INDIANS..

    BUT I DID NOT CARE.. I NEVER SHIED AWAY FROM TELLING “ THE SUN RISES IN THE FUCKIN’ EAST, NOT THE WEST”..

    IN A WAY THIS ILL TREATMENT MADE MEWHO I AM..  FORGED IN FIRE..

    NOW WHAT IS THE ARIES / PISCES SHIT?

    I EXPLAIN THE BIBLE ---TAURUS- ARIES- PISCES- AQUARIUS- IN THE POST BELOW—

    THE AGE FROM 2150 BC IS ARIES, ( INDIAN MEDAM / HAMAL )) THE RAM TILL 1 AD.

    FROM 1 AD TO 2150 AD IT IS THE AGE OF PISCES ( INDIAN MENAM ) .


    http://ajitvadakayil.blogspot.com/2019/08/secrets-of-roman-pantheon-inaugurated.html

    CONTINUED TO 2--
    1. CONTINUED FROM 1--


      "SEEDS OF THE FUTURE" ???

      IT MEANS " CAN THINK CLEARLY FOR HIMSELF. HE WONT BOW TO PRECEDENT"..

      http://ajitvadakayil.blogspot.com/2010/11/my-son-at-cornell-university-capt-ajit_25.html

      I STILL CARRY THE MENTAL SCARS INFLICTED ON ME BY SK PURI FOR TWO LONG YEARS .. I DID NOT WANT MY SON TO GO THROUGH THIS..

      THE SEA IS A STUPID PLACE..

      BELOW I TEACH MY SHORE BOSSES AS IF I TEACH RETARDED CHILDREN.. AND THIS IS ABOUT HUMAN LIVES.. EVEN THEN THECUNTS COULD NOT UNDERSTAND..

      YOU WILL SHIT IN YOUR PANTS WHEN YOU REALIZE HOW THOUSANDS OF SAILORS DIED BECAUSE OF CUNTS IN IMO..

      I DID NOT WANT MY SON TO BE PART OF THIS HELL..

      http://ajitvadakayil.blogspot.com/2011/07/enclosed-lifeboat-accidents-and-imo.html

      http://ajitvadakayil.blogspot.com/2011/01/single-hook-for-enclosed-lifeboats-capt.html

      http://ajitvadakayil.blogspot.com/2011/01/naive-sailor-sinking-ships-capt-ajit.html

      IT IS DIFFICULT FOR A CHAMPTION HORSE TO PRETEND TO BE A DONKEY..
      I WAS THE QUINTESSENTIAL HORSE WHO REFUSED TO BRAY

      http://ajitvadakayil.blogspot.com/2010/11/old-sea-dog-capt-ajit-vadakayil.html

      capt ajit vadakayil
      ..

    SOMEBODY CALLED ME UP AND CRIED

    CAPTAIN

    YOU HAVE WRITTEN THAT GERMAN JEW ROTHSCHILD PLANNED EUROPEAN UNION WITH COMMON CURRENCY EURO AND SEAMLESS BOUNDARIES ( SCHENGEN VISA / FREE DRIVE PAST BORDERS ) A CENTURY AGO - LIKE HE ALWAYS DOES ..

    CAN YOU AUTHENTICATE ?

    JEW ROTHSCHILD SPONSORED PIR ALI MUSLIM POET RABINDRANATH TAGORE, THE GRANDSON OF HIS OPIUM DRUG RUNNING PARTNER DWARAKNATH TAGORE , WHO ALSO OWNED THE BIGGEST WHOREHOUSE OF THE PLANET NAMED SONAGACHI IN CALCUTTA..

    ROTHSCHILD GAVE POET RABINDRANATH TAGORE NOBEL PRIZE FOR A VERSE HE WROTE IN GITANJALI..
    THIS VERSE ABOUT SEAMLESS BOUNDARIES AND HEAVEN OF FREEDOM WAS ACTUALLY WRITTEN BY ROTHSCHILDs AGENT POET YB YEATS AND REVERSE TRANSLATED TO BENGALI.. IT IS HIS STYLE ,I KNOW..

    I WON PRIZES IN SCHOOL POETRY RECITATION COMPETITIONS WITH POEMS OF YB YEATS.

    http://ajitvadakayil.blogspot.com/2010/12/nobel-prize-and-knighthood-for-tagore.html

    QUOTE: WHERE THE WORLD HAS NOT BEEN BROKEN UP

    INTO FRAGMENTS BY NARROW DOMESTIC WALLS;
    BLAH BLAH FUCKIN’ BLAH
    INTO THAT HEAVEN OF FREEDOM, MY FATHER, LET MY COUNTRY AWAKE. : UNQUOTE

    OUR INDIAN NATIONAL ANTHEM WAS WRITTEN BY POET TAGORE FOR THE BRITISH KING GEORGE V WHEN HE VISITED INDIA.

    QUOTE: THOU ARE THE RULER OF THE MINDS OF ALL PEOPLE, DISPENSER OF INDIA'S DESTINY.

    THE SALVATION OF ALL PEOPLE IS THY HAND, THOU DISPENSER OF INDIA'S DESTINY.
    BLAH BLAH FUCKIN’ BLAH
    VICTORY, VICTORY, VICTORY TO THEE. : UNQUOTE


    THIS IS SYCOPHANCY AT ITS BEST..

    OPIUM DRUG RUNNER DWARAKNATH TAGORE WAS PART OF THE SEEDING GANG FOR CHINESE SLAVERY IN USA VIA THE TAIPING REBEION..

    http://ajitvadakayil.blogspot.com/2011/08/opium-drug-running-tagore-family-capt.html

    DWARAKNATH TAGOREs WHOREHOUSE CATERED TO SEX FOR WHITE BRITISH OFFICERS WHO HAD PEDOPHILA AND HOMOSEXUAL TASTES..

    CHINESE SLAVERY IN USA IS KEPT AS A GREAT SECRET..

    READ BOTH PARTS OF THE POST BELOW-

    https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

    CARBON TRADING/ CAP & TRADE/ OFFET ETC WAS A SINISTER AND CLANDESTINE WAY FOR JEWS TO MAKE MONEY OUT OF THIN AIR AND MORE IMPORTANTLY AN INSTRUMENT FOR MASSIVE MONEY LAUNDERING ON A GLOBAL SCALE..

    THERE IS NO NEED TO DELIVER GOODS, NO INVENTORIES IN WAREHOUSES, NO SHIPPING DOCUMENTS TO ISSUE, OR RELEASES TO DRAFT. THERE IS NO INSURANCE, AIRFREIGHT, ROAD FREIGHT, OR MULTIPLE BANK ACCOUNTS NEEDED IN THIS CARBON TRADE MARKET.

    ILLEGITIMATE TRANSACTIONS CAN BE CONDUCTED FROM A KOSHER LAP TOP.

    THIS IS CLASSIC JEWISH MONEY MAKING OUT OF THIN AIR.. THERE IS NO LEGALLY AGREED DEFINITION AS TO WHAT “CARBON” IS OR HOW IT SHOULD BE ACCOUNTED FOR.

    THIS IS HOW JEW ROTHSCHILD MADE/ LAUNDERED MONEY WITH TULIPS..

    TRUTHS LONG BURIED WILL BE EXHUMED BY A BROWN SKINNED BLOGGER . HE ONLY CARES TO HEAL THE FESTERING WOUNDS INFLICTED ON MOTHER INDIA..

    http://ajitvadakayil.blogspot.com/2014/02/devadasi-system-immoral-lie-of-temple.html

    capt ajit vadakayil
    ..

    1. .
      PUT ABOVE COMMENT IN WEBSITES OF--
      TRUMP
      PUTIN
      BORIS JOHNSON
      MACRON
      ANGELA MERKEL
      XI
      AMBASSADORS TO FROM USA/ RUSSIA/ FRANCE/ GERMANY/ UK/ CHINA
      EDITOR GLOBAL TIMES HU XIJIN
      EVERY AMBASSADOR TO FROM US NATIONS
      EVERY RULER OF EU NATIONS
      IMF
      GITA GOPINATH
      WORLD BANK
      DAVID MALPASS
      FITCH
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      NGT
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      EVERY MP OF INDIA
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      NCERT
      EDUCATION MINISTER/ MINISTRY
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      ALL 3 ARMED FORCE CHIEF
      CDS
      AMIT SHAH
      HOME MINISTRY CENTRE/ STATES
      CJI BOBDE
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      LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
      ALL CHIEF JUSTICES HIGH COURTS
      I&B MINISTER / MINISTRY
      NSA
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      RAW
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      ALL DGPs OF INDIA
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      CEO OF WIKIPEDIA
      QUORA CEO ANGELO D ADAMS
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      RAGHAV BAHL
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      SIDHARTH VARADARAJAN
      PAVAN VARMA
      RAMACHANDRA GUHA
      SWAMY
      RAJIV MALHOTRA
      P GURUS
      RSS
      AVBP
      VHP
      MOHAN BHAGWAT
      RAM MADHAV
      THE QUINT
      THE SCROLL
      THE WIRE
      THE PRINT
      MK VENU
      VINOD DUA
      MADHU TREHAN
      SANJAY HEDGE
      SHOBHAA DE
      ARUNDHATI ROY
      JAIRAM RAMESH
      SHASHI THAROOR
      KAPIL SIBAL
      ABHI SEX MAANGTHA SINGVI
      TEHSEEN POONAWAALA
      SHEHZAD POONAWALA
      SANJAY JHA
      RANDIP SURJEWALA
      JEAN DREZE
      HARSH MANDER
      DIG VIJAY SINGH
      JULIO RIBEIRO
      SUHEL SETH
      KAMALAHASSAN
      SALMAN KHURSHEED
      GHULAM NABI AZAD
      SWARA BHASKAR
      ABHIJIT BANNERJEE
      RAGHURAM RAJAN
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      AARTYA SEN
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      CHID BABY
      PRANAB MUKHERJEE
      YESHWANT SINHA
      MONTEK SINGH AHLUWALIA
      ALEX JONES
      RENSE
      RANA AYYUB
      SABA NAQVI
      SHEHLA RASHID
      KAVITA KRISHNAN
      TEESTA SETALVAD
      SANJAY HEGDE
      GVL NARASIMHA RAO
      SAMBIT PATRA
      ASHOK PANDIT
      ANUPAM KHER
      KANGANA RANAUT
      VIVEK AGNIHOTRI
      MEENAKSHI LEKHI
      SMRITI IRANI
      PRASOON JOSHI
      SWAPAN DASGUPTA
      MADHU KISHWAR
      SUDHIR CHAUDHARY
      GEN GD BAKSHI
      RSN SINGH
      NALIN KOHLI.
      UDDHAV THACKREY
      RAJ THACKREY
      CHANDAN MITRA
      SADGURU JAGGI VASUDEV
      BABA RAMDEV
      SRI SRI RAVISHANKAR
      ADMIRAL RAMDAS , HIS WIFE AND HIS DAUGHTER
      ADMIRAL VISHNU BHAGAT
      CHETAN BHAGAT
      ZOYA HASAN
      JOHN BRITTAS
      THOMAS ISAAC
      ASADUDDIN OWAISI
      FAZAL GHAFOOR
      ROMILA THAPAR
      IRFAN HABIB
      NIVEDITA MENON
      AYESHA KIDWAI
      KUNHALIKUTTY
      ASHOK SWAIN
      PALLAVI PUNDIR
      RAZIMAN TV
      SAFOORA ZARGAR
      ARFA KHANUM SHERWANI
      MANI SHANKAR AIYAR
      DIG VIJAY SINGH
      NAVJOT SINGH SIDHU
      MOHANLAL
      SURESH GOPI
      SWAMYs BULLSHIT VIRAATS SENA
      MAMMOTTY
      DULQER SALMAN
      HISTORY CHANNEL
      DAVID HATCHER CHILDRESS
      ENTIRE BBC GANG
      MAJOR WORLD MEDIA
      SPREAD ON SOCIAL MEDIA
    1. https://www.vice.com/en_in/article/jgez3x/disturbing-child-porn-trends-from-india-during-lockdown

      SOMEBODY ASKED ME --

      CAPTAIN

      WHO IS PALLAVI PUNDIR WHO HAS DECLARED INDIA AS A PEDOPHILE NATION?..

      WELL SHE WORKS FOR VICE MEDIA GROUP LLC, WHICH IS FUNDED BY GEORGE SOROS -- A JEWISH DEEP STATE ORG..

      https://www.opindia.com/2020/01/george-soros-1-billion-dollar-fight-nationalists-pm-modi-usa-china-russia/

      I HAVE BAAAD NEWS FOR PALLAVI PUNDAR..

      INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PEDOPHILES / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES/ DISFUNCTIONAL FAMILY/ PARENTS DISCARDED IN OLD AGE HOMES / MENTAL PROBEMS/ CRIPPLES/ SERIOUS DISEASES / INFERTILITY / LACK OF RESPECT FOR WOMEN – PARENTS / HUNGER / DEBT PER CAPITA ETC ETC..

      WE HAVE 1350 BILLION PEOPLE..

      SO PALLAVI PUNDIR-- YOU CAN INFORM YOUR JEWISH DEEP STATE BOSSES ACCORDINGLY..

      PALLAVI PUNDIR-- ALL YOUR LIES ABOUT MASS SURVEILLANCE IN INDIA AND LOSS OF PRIVACY WONT WORK..

      https://www.vice.com/en_in/article/qjd9ew/coronavirus-surveillance-privacy-india

      ONE THING YOU CAN BE 100% SURE LIAR PALLAVI PUNDIR BABY-- YOU ARE NOW UNDER SURVEILLANCE, EVERY INCH OF YOUR MOVEMENT FROM NOW ON WILL BE MONITORED AND PROFILED..

      YOU, THE TRAITOR, YOUR FAMILY AND YOUR FUTURE GENERATIONS ARE NOW BLACK SHEEP..

      WE IN INDIA TRUST AROGYA SETU.. TRY AND DISMANTLE THIS APP..

      https://twitter.com/pallavipundir/status/1251547988553392128

      IN 13 YEARS INDIA WILL BE THIS PLANETs NO 1 SUPERPOWER.. SUCK ON THIS..

      PUNDHIR PARASHAR GOTRA IS FAKE AND COOKED UP BY JEW ROTHSCHILD..

      AND TELL GEORGE SOROS , HE CAN SINK ALL IS BILLIONS IN FIGHTING BHARATAMATA AND SANATANA DHARMA.. WE THE PEOPLE OF INDIA UNDER PM MODI WILL ENJOY THIS FIGHT ..

      WANNA KNOW WHO IS CAPT AJIT VADAKAYIL?... READ ALL 5 PARTS OF THE POST BELOW--

      https://ajitvadakayil.blogspot.com/2020/04/who-is-captain-ajit-vadakayil-here-are.html

      CAPT AJIT VADAKAYIL IS THIS PANETs NO 1 WRITER WITH A GOOGLE PROFILE VIEW OF 1023 BILLION.. DOES GEORGE SOROS HAVE THAT MANY BILLIONS ?

      https://www.blogger.com/profile/14410812789424637654

      capt ajit vadakayil
      ..

    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY JEWSH DEEP STATE PAYROLL LIAR ASHOK SWAIN ( PROFESSOR IN SWEDEN ) .. 

    ASHOK SWAIN  RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN?--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES ..   ALONG WITH SOME INDIAN COMMIES/ NAXALITES..


    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE UNDERDEVELOPED NATIONS..


    IN COMPARISON TO INDIAs 0.3  ( WE HAVE 1350 MILLION PEOPLE ) ,  SWEDEN IS 132..

    SPAIN/ 409
    BELGIUM/ 419
    ITALY / 358
    FRANCE / 263
    UK/ 202
    USA/ 87

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION.. BY TRAITORS LIKE ASHOK SWAIN..

    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES/ DISFUNCTIONAL FAMILY/ PARENTS DISCARDED IN OLD AGE HOMES  / MENTAL PROBEMS/  CRIPPLES/  SERIOUS DISEASES /  INFERTILITY / LACK OF RESPECT FOR WOMEN – PARENTS / HUNGER /  DEBT PER CAPITA ETC ETC..

    I HAVE SEEN THIS PLANET FOR 40 YEARS..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..


    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil

    ..



    https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html


    1. Dear Ajit Sir,
      After asking from certain people, got the information about Ashok Swain's background.
      His father's name is Baikunthanath Swain & Baikunthanath contested from Congress-I in 1980 & from Congress in 1995, and won the election from Kakatpur Vidhan Sabha, Puri, Odisha, respectively.

      In 1995 Baikunthanath got the Congress ticket, hence his Son Ashok Swain is jumping so much that he declined to contest from Congress ticket is bcoz his Father was already in the pole position.

      Wikipedia mentions only about the winner.
      No where it is mentioned that Ashok Swain is his Son.

      Ashok Swain neither has his Wikipedia profile mention his Father though people often mention the political backgrounds for grabbing eyeballs.

      In an Odia Daily, for the funeral of Baikunthanath Swain, it doesn't mention any of the family members of Swain attending the funeral.
      Ashok Swain didn't attend his Father's funeral processions says a lot about this fellow.

      Ashok Swain's nativity is Kakatpur, Puri & I have been to Kakatpur many a times to visit Maa Mangala Temple.
      It's a very small town or just an upgraded village.

      Ashok Swain still gets invitation from Kakatpur to speak on topics.
      He spoke about Kashmiri issue in Kakatpur in the year 2017.
      For the Kashmiri rights, Swain is very vocal & takes the side of Pakistan.
      In his so called Research on Tran-boundary rivers & water sharing, he has mixed Climate Change very well.
      Uppsala University is a Freemason Skull & Bone category University.

      For tran-boundary water sharing his spins are on Indus Water sharing, Tigris & Euphrates which falls under Turkey, Syria, Iraq & Kuwait and the Yangtze River.

      For some strange reason, Ashok Swain doesnot mention his background in detail.
      Ashok Swain is LEFT-HANDED fellow.






    http://ajitvadakayil.blogspot.com/2014/12/remove-word-secular-from-indian.html


    http://ajitvadakayil.blogspot.com/2013/09/uniform-civil-code-in-india-capt-ajit.html


    BEING ANTI-HINDU IS CALLED SECULARISM IN INDIA.

    THIS CONCEPT WAS INTRODUCED BY THE ITALIAN MAINO JEWESS 


    https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html







    https://twitter.com/ashoswai/status/1250417268552372225

    CAPT AJIT VADAKAYIL HAS THIS MESSAGE TO ASHOK SWAIN..

    ALL YOUR FOLLOWERS AND REGULAR READERS HAVE BEEN PROFILED.. SOME OF THEM ARE URBAN NAXALS WITH CASES AGAINST THEM..

    ALL OF THEM DESERVE CONGRATULATIONS.. THEY HAVE ENTERED THE DESH DROHI DATABASE..

    WE HAVE ALSO IDENTIFIED PAKISTANI ISI CYBER CELL USING HINDU NAMES .. PIECE OF CAKE..

    YOUR UNIVERSITY WHO EMPLOYS YOU NOW HAVE A PROFILE ON YOU.. ALL IN GOOD TIME..

    YOUR ANTI-INDIA , ANTI-HINDU TAANDAV IS NOW OVER..

    ANTI-INDIAN FORCES WHO HAVE FUNDED YOU HAVE BEEN CARELESS.

    ASHOK BABY, DONT TRY AND COMPETE AGAINST OR IMPRESS A BLOGGER WHOSE GOOGLE PROFILE VIEW IS 1023 MILLION..

    https://www.blogger.com/profile/14410812789424637654

    capt ajit vadakayil
    ..


    1. READERS--

      200 INDIAN JOURNALISTS UNDER THE LEADERSHIP OF COMMIE N RAM HAVE OBJECTED AGAINST FIR BY YOGI ADITYANATAH AGAINST TRAITOR SIDDHARTH VARADARAJAN..

      I WANT A FULL LIST OF THEIR NAMES ..

      capt ajit vadakayil
      ..

      1. Supported and endorsed by:

        1. Shobhna Jain,Sr. Journalist

        2. T.K Rajalakshmi, Frontline

        3. Sonal Kellogg, Independent Journalist

        4. Aruna Singh, Independent Journalist

        5. Ravinder Bawa, Independent Journalist

        6. Neelam Jeena,Sr, Correspondent, Sandhya Jyoti Darpan Daily

        7. Parul Sharma, Independent Journalist.

        8. Venkitesh Ramakrishnan, Sr Associate Editor, Frontline

        9. Anuradha Bhasin, Editor, Kashmir Times

        10. Sajjad Haider, Editor, Kashmir Observer

        11. Saif Khalid, Deputy Editor, Al Jazeera

        12. Priti Prakash, Editor, facenfacts

        13. Parul Jain, Freelancer

        14, Anjali Deshpande, Independent Journalist.

        15. Sujata Madhok, Independent Journalist.

        16. Seema Mustafa, Editor, The Citizen

        17. Paranjoy Guha Thakurta, Senior Journalist

        18. Saroj Dhuliya, Navbharat times.

        19. Aditi Nigam, Newsclick

        20. Anju Grover, Independent Journalist.

        21. Kiran Shaheen, Independent Journalist.

        22. Karuna John, Independent Journalist.

        23. Vidya Subramaniam, Independent Journalist

        24. Sumita Mehta, Sr. Journalist

        25. Rashmi Sehgal, Sr. Journalist

        26. Ashlin Mathew, journalist

        27. Hema Ramakrishnan, Senior journalist

        28. Anjali Ojha, Journalist

        29. Subodh Verma, Newsclick

        30. A.M. Jigeesh, Business Line.31. Ajoy Ashirwaad, The Wire

        32. Iftikhar Geelani, Senior Journalist

        33. Majid Maqbool, Contributor, Foreign Policy, The Globe Post

        34. Teesta Setalvad, Senior Journalist

        35. Majid Hyderi, Independent journalist and TV commentator

        36. P L Vincent, senior journalist

        37. Rosalyn D'Mello, Freelancer

        38. Praveen Khariwal, President, Press club of MP

        39. Gautam Lahiri, Senior Journalist

        40. Qazi, Journalist

        41. A.J. Phillip, Senior Journalist

        42. Jose Kalathil, Senior Journalist

        43. Ramesh Menon, Contributing Editor, India Legal

        44. Albert Thyrniang, Contributor, Shillong Times

        45. Avtar Negi, Senior Journalist

        46. Dr John Dayal, former treasurer, Editors' Guild of India, Author

        47. Neha Dixit, Independent journalist

        48. Sonia Khurana, Visual artist

        49. Shuddhabrata Sengupta, artist and writer

        50. Akshaya Mukul, Journalist and writer

        51. Revati Laul, Independent Journalist

        52. Manoj Mitta, Journalist and author

        53. Divya Trivedi, Frontline

        54. Arti Jaiman, Community broadcaster

        55. Nirmal John, journalist and author

        56. Anando Bhakto, Frontline

        57. Shweta Rashmi, Independent Journalist

        58. Neerja Chowdhury, Senior Journalist

        59. Anita Saluja, Senior Journalist

        60. Aniruddha Bahal, Senior Journalist

        61. Jeejo Augustine, Senior Journalist, Borneo Bulletin

        62. Ravivarma , Navamalayali current affairs online ( political editor )
        Delete
      2. 63. Shankar Raghuraman, Senior journalist

        64. P K Datta, Senior journalist

        65. Debashis Chatterji, Senior journalist

        66. G.Shankar, President, Kerala Patrapravarthaka Association

        67. Shastri Ramachandaran,Senior journalist,(Editorial Consultant, WION)

        68. Purnima Tripathi, Frontline

        69. Pankaj Molekhi, senior journalist

        70. Akshay Deshmane, Huffington Post.

        71. Ammu Joseph, Journalist and author

        72. Gokul Krishnamoorthy. Independent Columnist (ET Brand Equity, Financial Express).

        73. Anand Kochukudy, Editor, The Kochi Post

        74. T V Jayan, Senior Deputy Editor, Hindu Business Line

        75. Shajahan Madampat, Columnist, Outlook

        76. Ajaz Ashraf, Freelancer.

        77. Gayatri J, Consultant, Sabha TV, Thiruvananthapuram, Kerala

        78. VM Deepa, Senior Consultant, Sabha TV, Thiruvananthapuram, Kerala

        79. V. Venkatesan, Frontline

        80. Sundeep Dougal, Independent Journalist

        81. Raksha Kumar, Independent journalist

        82. Sushma Varma, Senior Journalist

        83. Laxmi Murthy, Independent Journalist

        84. VK Raveendran, Editor, Gaddhika Daily, Payyannuur, Kerala

        85. Rajaram S, Senior Executive Editor, Carees360

        86. Preetha Nair, Outlook magazine

        87. Sukumar Muralidharan, Freelance Journalist.

        88. P. V. Thomas, Freelance Journalist.

        89. Swati Goswami, Independent Writer, Ahmedabad

        90. Priya Raveendran, Senior Consultant, Sabha TV, Thiruvananthapuram, Kerala

        91. Nirmesh Singh, AgriNation

        92. Saimi Sattar, The Pioneer

        93. Bishakha De Sarkar, The Hindu Business Line

        94. Smitha Verma, freelance journalist

        95. Japleen Pasricha,

        96. Preeti Mehra, journalist, New Delhi

        97. Sudhanva Deshpande, publisher

        98. Anita Dube, Artist, Gr. Noida

        99. Asad Ashraf, Independent journalist

        100. Samita Bhatia, Lifestyle writer

        101. Jagan Negi freelance, Photo-Journalist

        102. Neethu Eldose, Journalist

        103. Sunil Menon, Outlook magazine

        104. N.B. Nair, Executive Editor, Indian Science Journal

        105. Ajith Pillai, journalist

        106. Gargi Parsai, Senior Journalist

        107. Saroj Nagi, Senior Journalist

        108. Dhamini, Journalist

        109. Dr Suresh Mathew, Editor, Indian Currents Weekly

        110. Raza Haider, Documentary filmmaker

        111. Nupur Basu, Documentary filmmaker

        112. Kay Benedict, Freelance

        113. P.M. Narayanan, Chief Producer, South Asia, ARD, German TV

        114. Geeta Seshu, Co-editor, Free Speech by Collective\

        115. Kushal Jeena, Journalist

        116. Ziya Us Salam, Frontline

        117. Aditi Bhal, Journalist

        118. Dr Mukesh Kumar, Senior Journalist

        119. Shachi Chaturvedi, Senior Jornalist

        120. Nadeem Ahmed, Journalist

        121. Rahil Chopra, Journalist

        122. Trina Shankar, Newsclick

        123. Fazal Imam Mallick, Senior Journalist

        124. Rukmini Anandani, Senior Journalist


































  • Pranam Guruji,

    List:
    Supported and endorsed by:

    1. N.Ram, Chairman of The Hindu Group of Publications
    2. Sreenivasan Jain, NDTV
    3. Alan Rusbridger, Former Editor, The Guardian
    4. Rajdeep Sardesai, Senior Journalist, India Today TV
    5. Suhasini Haider, The Hindu
    6. Swati Chaturvedi, Senior Journalist
    7. R. Vijaya Sankar, Editor, Frontline
    8. Venkitesh Ramakrishnan, Sr Associate Editor, Frontline
    9. T.K Rajalakshmi, Frontline
    10. Maya Mirchandani, Senior Journalist
    11. Harish Khare, Senior Journalist and Columnist
    12. Prem Shankar Jha, Senior Columnist
    13. Sagarika Ghose, Senior Journalist, Times of India
    14. Om Thanvi, Senior Journalist and Former Editor, Jansatta
    15. Anuradha Bhasin, Editor, Kashmir Times
    16. Sonia Singh, Editorial Director, NDTV
    17. Shobhna Jain, Sr. Journalist
    18. Sonal Kellogg, Independent Journalist
    19. Aruna Singh, Independent Journalist
    20. Ravinder Bawa, Independent Journalist
    21. Neelam Jeena, Sr, Correspondent, Sandhya Jyoti Darpan Daily
    22. Parul Sharma, Independent Journalist.
    23. Sajjad Haider, Editor, Kashmir Observer
    24. Saif Khalid, Deputy Editor, Al Jazeera
    25. Priti Prakash, Editor, facenfacts
    26. Parul Jain, Freelancer
    27. Anjali Deshpande, Independent Journalist.
    28. Sujata Madhok, Independent Journalist.
    29. Seema Mustafa, Editor, The Citizen
    30. Paranjoy Guha Thakurta, Senior Journalist
    31. Saroj Dhuliya, Navbharat times.
    32. Aditi Nigam, Newsclick
    33. Anju Grover, Independent Journalist.
    34. Kiran Shaheen, Independent Journalist.
    35. Karuna John, Independent Journalist.
    36. Vidya Subramaniam, Independent Journalist
    37. Sumita Mehta, Sr. Journalist
    38. Ashlin Mathew, journalist
    39. Hema Ramakrishnan, Senior journalist
    40. Anjali Ojha, Journalist
    41. Subodh Verma, Newsclick
    42. A.M. Jigeesh, Business Line.
    43. Ajoy Ashirwaad, The Wire
    44. Iftikhar Geelani, Senior Journalist
    45. Majid Maqbool, Contributor, Foreign Policy, The Globe Post
    46. Teesta Setalvad, Senior Journalist
    47. Majid Hyderi, Independent journalist and TV commentator
    48. P L Vincent, senior journalist
    49. Rosalyn D’Mello, Freelancer
    50. Praveen Khariwal, President, Press club of MP
    51. Gautam Lahiri, Senior Journalist
    52. John Cherian, Frontline
    53. A.J. Phillip, Senior Journalist
    54. Jose Kalathil, Senior Journalist
    55. Rashmi Sehgal, Sr. Journalist
    56. Ramesh Menon, Contributing Editor, India Legal
    57. Albert Thyrniang, Contributor, Shillong Times
    58. Avtar Negi, Senior Journalist
    59. Dr John Dayal, former treasurer, Editors’ Guild of India, Author
    60. Neha Dixit, Independent journalist
    61. Sonia Khurana, Visual artist
    62. Shuddhabrata Sengupta, artist and writer
    63. Akshaya Mukul, Journalist and writer
    64. Revati Laul, Independent Journalist
    65. Manoj Mitta, Journalist and author
    66. Divya Trivedi, Frontline
    67. Arti Jaiman, Community broadcaster
    68. Nirmal John, journalist and author
    69. Anando Bhakto, Frontline
    70. Shweta Rashmi, Independent Journalist
    71. Neerja Chowdhury, Senior Journalist
    72. Anita Saluja, Senior Journalist
    73. Aniruddha Bahal, Senior Journalist
    74. Jeejo Augustine, Senior Journalist, Borneo Bulletin
    75. Ravivarma , Navamalayali current affairs online (political editor)
    76. Shankar Raghuraman, Senior journalist
    77. P K Datta, Senior journalist
    78. Debashis Chatterji, Senior journalist
    79. G.Shankar, President, Kerala Patrapravarthaka Association
    80. Shastri Ramachandaran, senior journalist, (Editorial Consultant, WION)

    continued

  • 81. Purnima Tripathi, Frontline
    82. V. Venkatesan, Frontline
    83. Pankaj Molekhi, senior journalist
    84. Akshay Deshmane, Huffington Post.
    85. Ammu Joseph, Journalist and author
    86. Gokul Krishnamoorthy. Independent Columnist (ET Brand Equity, Financial Express).
    87. Anand Kochukudy, Editor, The Kochi Post
    88. T V Jayan, Senior Deputy Editor, Hindu Business Line
    89. Shajahan Madampat, Columnist, Outlook
    90. Ajaz Ashraf, Freelancer.
    91. Gayatri J, Consultant, Sabha TV, Thiruvananthapuram, Kerala
    92. VM Deepa, Senior Consultant, Sabha TV, Thiruvananthapuram, Kerala
    93. Sundeep Dougal, Independent Journalist
    94. Raksha Kumar, Independent journalist
    95. Sushma Varma, Senior Journalist
    96. Laxmi Murthy, Independent Journalist
    97. VK Raveendran, Editor, Gaddhika Daily, Payyannuur, Kerala
    98. Rajaram S, Senior Executive Editor, Carees360
    99. Preetha Nair, Outlook magazine
    100. Sukumar Muralidharan, Freelance Journalist.
    101. P. V. Thomas, Freelance Journalist.
    102. Swati Goswami, Independent Writer, Ahmedabad
    103. Priya Raveendran, Senior Consultant, Sabha TV, Thiruvananthapuram, Kerala
    104. Nirmesh Singh, AgriNation
    105. Saimi Sattar, The Pioneer
    106. Bishakha De Sarkar, The Hindu Business Line
    107. Smitha Verma, freelance journalist
    Japleen Pasricha,
    108. Preeti Mehra, journalist, New Delhi
    109. Sudhanva Deshpande, publisher
    110. Anita Dube, Artist, Gr. Noida
    111. Asad Ashraf, Independent journalist
    Samita Bhatia, Lifestyle writer
    112. Jagan Negi freelance, Photo-Journalist
    113. CJ Kuncheria, The India Forum
    114. Sunil Menon, Outlook magazine
    115. N.B. Nair, Executive Editor, Indian Science Journal
    116. Ajith Pillai, journalist
    117. Gargi Parsai, Senior Journalist
    118. Saroj Nagi, Senior Journalist
    119. Dhamini, Journalist
    120. Dr Suresh Mathew, Editor, Indian Currents Weekly
    121. Raza Haider, Documentary filmmaker
    122. Nupur Basu, Documentary filmmaker
    123. Kay Benedict, Freelance
    124. P.M. Narayanan, Chief Producer, South Asia, ARD, German TV
    125. Geeta Seshu, Co-editor, Free Speech by Collective
    126. Kushal Jeena, Journalist
    127. Ziya Us Salam, Frontline
    128. Aditi Bhal, Journalist
    129. Dr Mukesh Kumar, Senior Journalist
    130. Shachi Chaturvedi, Senior Journalist
    131. Nadeem Ahmed, Journalist
    132. Rahil Chopra, Journalist
    133. Trina Shankar, Newsclick
    134. Fazal Imam Mallick, Senior Journalist
    135. Rukmini Anandani, Senior Journalist
    136. Rithambara Shastri, Senior Journalist
    137. Sagari Chhabra, Filmmaker
    138. Anita Katyal, Senior Columnist
    139. Kuldeep Kumar, Senior Columnist
    140. Roja S., Senior Content Co-ordinator, Sabha TV
    141. Sruthisagar Yamunan, Scroll.in
    142. Arvind Tiwari, Indore Press Club
    143. Saurabh Duggal, Chandigarh Press Club
    144. Shruti Chaturvedi
    145. Natasha Badhwar, author and film-maker
    146. Charu Soni, Independent Journalist
    147. Brinelle D’Souza
    148. Aftab Ahmad
    149. Shambhavi
    150. Aesha Datta, Economic Times
    151. Amiti Sen, Business Line
    152. Renu Mittal, Senior Journalist
    153. M.M. Dileep, Senior Journalist
    154. Anil Thomas, Senior Journalist
    155. Shaji Joseph, Senior Journalist
    156. Cedric Prakash, Senior Journalist
    157. Mrinal Vallari, Journalist, Jansatta
    158. Usha Rai, Senior Journalist
    159. Shubha Singh, Senior Journalist

    contiunued

  • 160. Sujata Mathur, Senior Journalist
    161. Tripta Batra, Senior Journalist
    162. Syed Nooruzzaman, Senior Journalist
    163. Francis Arackal, Senior Journalist
    164. Bindu Abraham, Sr. Journalist
    165. Lijo Thomas, Sr. Journalist
    166. Lissy M, Sr. Journalist
    167. Wilson Kappatil, Senior Journalist
    168. Ignatius Gonsalves, Senior Journalist
    169. Jose Kavi, Senior Journalist
    170. Tessy Jacob, Senior Journalist
    171. F.M. Britto, Senior Journalist
    172. Bindu Abraham, Senior Journalist
    173. Asrar Khan, Senior Journalist
    174. B.P. Dobhal, Senior Journalist
    175. Vineeta Pandey, Senior Journalist
    176. Gowhar Geelani, Senior Journalist.
    177. Dr Dinesh Kadam, writer.
    178. Antara Dev Sen, Senior Journalist
    179. Bhasha Singh, Senior Journalist
    180. V. Sridhar, Frontline
    181. Sabith Muhammad, Independent Journalist, Kerala
    182. K.M. Rakesh, The Telegraph
    183. K.S. Dakshina Murthy, Independent Journalist
    184. K.P. Mohan, Senior Sports Journalist
    185. Radhika Ramseshan, Senior Journalist
    186. Chitti Pantulu, Senior Journalist
    187. M. Prabhu, Senior Journalist
    188. K. Giriprakash, Senior Journalist
    189. G. Krishnan, Senior Journalist
    190. Parvathi Menon, Independent Journalist
    191. Bageshree. S, Senior Journalist
    192. Amulya Gopalakrishnan, Senior Journalist
    193. Afshan Yasmeen, Senior Journalist
    194. Bidanda Chengappa, Senior Journalist
    195. K.G. Vasuki, Senior Journalist
    196. Vikas Pathak, Freelance Journalist
    197. Vrinda Gopinath, Independent Journalist
    198. Mannika Chopra, Independent Journalist
    199. R.K. Radhakrishnan, Frontline
    200. K.K. Shahina, Senior Journalist
    201. Girdhar Narayan, The Hindu
    202. Richa Bansal, Independent Journalist
    203. Ilangovan Rajasekaran, Frontline
    204. Anupama Katakam, Frontline
    205. Lyla Bavadam, Frontline
    206. Angana Parekh, Senior Journalist
    207. Suhrid Sankar Chattopadhya, Frontline
    208. Sarthak Ray, Financial Express
    209. S. Srinivasan, Senior Journalist
    210. Neena Vyas, Senior Journalist
    211. Vikhar Ahmed, Frontline
    212. Shivani Rawat, Senior Journalist
    213. Bhaskar Chatterjee, Editor, Political and National Affairs, National TV, Kolkata
    214. Nilanjan Mukhopadhyay, Senior Columnist



    1. ALL FRIENDS OF TRAITOR SIDHARTH VARADARAJAN AND HIS URBAN NAXAL WIFE ( BOTH PAKISTANI ISI DARLINGS ) — LISTEN UP..

      YOU HAVE BEEN PROFILED..

      WE KNOW THE ONES AMONG YOU, WHO ARE—
      1) TRAITORS IN DEEP STATE PAYROLL…
      2) HAVING THE TACIT BACKING OF JUDGES IN DEEP STATE PAYROLL…
      3) WHO ARE RABIDLY ANTI-HINDU AND ANTI-INDIAN , IN AS UCH AS YOU THROW UP IF SOMEONE PRAISED OUR PAST GLORY..

      IPC SECTION 121 WILL NOT BE USED AGAINST YOU.. Y OU WILL BE DEALT WITH THE WAY ALL NATIONS DEAL WITH TRAITORS WHO HAVE SOLD THEIR DOULS FOR A PIECE OF FOREIGN SILVER..

      BHARATMATA WAS IN CHAINS FOR 800 YEARS BECAUSE OF PEOPLE LIKE YOU..

      https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

      ENOUGH RESEARCH HAS BEEN DONE BY MY PAKISTANI OFFICERS ABOUT SIDDHARTH VARADARAJANs ACTIVITIES IN PAKISTAN ( WITH HIDDEN CAM )..

      capt ajit vadakayil
      ..


      PUT ABOVE COMMENT IN WEBSITES OF -

      SEND ABOVE MESSAGE TO ALL 214 PEOPLE IN THE LIST BELOW--
      https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu.html

      PMO
      PM MODI
      EVERY MP OF INDIA
      EVERY MLA OF INDIA
      EVERY COLLECTOR OF INDIA
      DEFENCE MINISTER/ MINISTRY
      ALL 3 ARMED FORCE CHIEF
      CDS
      AMIT SHAH
      HOME MINISTRY CENTRE/ STATES
      CJI BOBDE
      ATTORNEY GENERAL
      LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
      ALL CHIEF JUSTICES HIGH COURTS
      I&B MINISTER / MINISTRY
      NSA
      AJIT DOVAL
      RAW
      IB
      CBI
      NIA
      ED
      ALL DGPs OF INDIA
      ALL IGs OF INDIA
      ALL CMs OF INDIA
      ALL STATE GOVERNORS
      PRESIDENT OF INDIA
      VP OF INDIA
      SPEAKER LOK SABHA
      SPEAKER RAJYA SABHA
      ALL INDIAN THINK TANKS
      NITI AYOG
      AMITABH KANT
      SPREAD ON SOCIAL MEDIA

      Capt ajit vadakayil
      ..



    1. Some of the verified accounts who are following Ashok Swain

      Aamer Javeed
      @Aamer_Javeed
      Member, AICC || Chairman, TPCC Research Dept || Board of Governors, MJ College & Sultan ul Uloom Edu. Society || Former National Secretary of NSUI ||

      Achim Klüppelberg
      @AKluppelberg
      Historian of Technology, specialised in Soviet and Russian nuclear programmes and PhD candidate at #KTH Royal Institute of Technology in Stockholm. Activist.

      Pradhan S.K.Saifi
      @SKSaifi15
      Social Worker In-AGRO all India Regd NGO

      Stephanie Findlay
      @SJFindlay
      @FT
      South Asia Correspondent

      Syed M Kazmi
      @SMahmoodKazmi
      Dreamer, Believer, Doer, Activist & Your Partner for Education, Gender-Equality, Human Rights and Peace. Footprints at the @UN, @IOMatUN,@UN_Women,@IFRC etc.

      Mark MacKinnon
      @markmackinnon
      Senior International Correspondent for The Globe and Mail. Now based in London, after stops in Moscow, the Middle East, and Beijing. DMs open.

      Ayaz Latif Palijo
      @AyazLatifPalijo
      Writer | Teacher | Human Rights Lawyer | Motivational Speaker | Yearning Traveller ..
      President Qomi Awami Tahreek (QAT)

      Indian Union Muslim League
      @iumlofficial
      Official handle of Indian Union Muslim League (IUML).


      Darren Caldeira
      @darrencaldeira
      Professional footballer / @keralablasters AFC 'B' licence holder.

      Nezahat Sevim
      @sevimnezahat
      Digital storyteller/ Journalist / Fmr @euronews@cnnturk@euronewsNBC/
      @kingscollegelon alumni / @exquismoi for travel notes



      Corona virus update
      @coronavirus38

      this handle is operating from Srinagar, totally pro pakistan

      https://twitter.com/aarifshaah/status/1248992248164831233?s=20

      check this manipulated corona death

      https://twitter.com/nazir_lord/status/1246820099681632256?s=20

      https://twitter.com/ImranKhanPTI/status/1245709751838785536?s=20

      how reuters india is playing games
      https://twitter.com/ReutersIndia/status/1244678278180470784?s=20

      india refuses kashmiris to work from home .... who works from home in kashmir ?
      https://twitter.com/trtworld/status/1240503265504223232?s=20

      look at this foreign payroll
      https://twitter.com/carin__fischer/status/1045345086916227073?s=20


      Mariellen Ward
      @Breathedreamgo
      Inspiration & information to encourage you to live your travel dreams & help you travel to India. Flag of India 🙏🏻 National Tourism Award Winner, India

      Mayura Janwalkar
      @mayura
      Journalist, foodie, movie buff, panda enthusiast, dog-lover. Views are my own. Retweets are not endorsements.

      Arun Venugopal
      @arunNYC
      Immigration | Race | Identity

    THIS IS NOT A PAPER PRINTED HARD COPY WITH SIGNATURES..

    SIDHARTH VARADARAJAN IS A PAKISTANI ISI SPONSORED TRAITOR.

    THE PAKISTANI ISI CYBER TROLL ARMY ARE ADDING FAKE HINDU NAMES VIA GOOGLE.


    BRAAAAAAYYYYYYYYYYYYY



    A copy of the statement is below:
    We, the undersigned, are shocked at the action of the UP police under Yogi Adityanath in filing criminal charges against The Wire and against one of its founding editors, Siddharth Varadarajan. This attack on media freedom, especially during the Covid-19 crisis, endangers not just free speech, but the public’s right to information. 
    The target of this action is a factual story on the Tablighi Jamaat and its exposure to Covid-19. Towards the end, the impugned article merely pointed out that “Indian believers” more generally have been late to adopt precautions and avoid congregation, recalling UP Chief Minister Yogi Adityanath’s plans, as late as March 18, to proceed with a religious fair at Ayodhya and his flouting of the national lockdown and social distancing norms by taking part in a religious ceremony along with others on March 25.
    Two FIRs were filed under various sections of the law on April 1, one on a complaint by a resident of Ayodhya and the other on the basis of a complaint by the SHO of the Kotwali Nagar police station, Faizabad. A plain reading of the sections invoked in the FIRs (given below) makes it clear they cannot possibly apply to the article in question. The FIRs were followed up with a gross display of intimidation on April 10 when policemen arrived in a black SUV with no numberplates at Varadarajan’s residence in Delhi to issue a legal notice ordering him to appear in Ayodhya on April 14 at 10 am. 
    That the UP government sent policemen driving across 700 kilometres during the national lockdown to issue this summons when the postal system is still operational speaks volumes for its priorities. 
    The Wire, along  with other independent media and journalists, has been courageous and consistent in continuing to present the facts. The UP police action is just the latest in a series of attempts by the ruling establishment, or persons close to them, to entangle The Wire and its editors in legal cases in an effort to shut them down.
    The police action against The Wire also comes against the backdrop of the demonization of Muslims in a section of the media as being responsible for the spread of the novel coronavirus in India. On April 6, the WHO felt the need to reiterate the principle that media should avoid religious or other profiling of COVID-19 cases. 
    We, the undersigned, 
      1. Call upon the Government of Uttar Pradesh to withdraw the FIR against Siddharth Varadarajan and The Wire, and drop all criminal proceedings. 
      2. We urge the Government of India and all state governments not to use the pandemic as a cover to trample upon media freedom. A medical emergency should not serve as the pretext for the imposition of a de facto political emergency.
      3.  We call upon the Indian media to not communalise the pandemic..
    List of signatories (in alphabetical order upto 2 pm, April 14):

    PEOPLE WHO KNOW CAPT AJIT VADAKAYIL WILL VOUCH



    THAT THE INTELLECT AND INTEGRITY OF THIS BUNCH OF 3358 COMBINED –  CAN BE FITTED UNDER THE FORESKIN OF HIS UNCIRCUMCISED PRICK, WITH ROOM FOR 99.999 % MORE..

    THIS LIST IS SUCH A WINDFALL--  A VERITABLE BLESSING IN DISGUISE,    WE KNOW THAT MOST ARE / WERE IN FOREIGN PAYROLL


    List of Signatories (in alphabetical order upto 2 pm, April 14)
    1. A Kapila, London
    2. A N, New Delhi
    3. Anand Arni, Former Sp. Secretary RAW
    4. A S Kajal, JNU , New Delhi
    5. A Shriram, Delhi
    6. A Sunil Dharan, University of Delhi, Delhi
    7. Anand, Saajhi Duniya
    8. Srivathsan, CEPT University, Ahmedabad
    9. R. Vasavi, Punarchith Collective, Chamrajnagar
    10. Aadhya Shukla, Gurgaon
    11. Aadita Chaudhury, York University, Toronto, Canada
    12. Aaditya Varane, Ulhasnagar, Maharashtra
    13. Aafaq Ansari, Mumbai
    14. Aakansha Maheshwari, Delhi
    15. Aakash Jaiswal, Gujarat
    16. Aakash Kamble, Pune
    17. Aakash Mohan, London
    18. Aaloka Kanhere, Mumbai
    19. Aaron schneider, University of Denver, USA
    20. Aarti Sunder, Artist
    21. Aaarti Sethi, Harvard University
    22. Aarti Vir, Hyderabad
    23. Aashique Ahmed Iqbal, Assistant Professor, Krea University, Sri City, Andhra Pradesh
    24. Aasif Abrar, Delhi
    25. Aayushi S, Delhi
    26. Aishwary Kumar, UC Santa CRuz
    27. Aban Raza, Artist, Delhi
    28. Abdul Arif, Edmonton, Canada
    29. Abdul Azeem, Salem, Tamil Nadu
    30. Abdul Basheed, Human India
    31. Abdul G Syes, Dallas, TX
    32. Abdul Hafiz Lakhani, Editor –Journalist. Ahmedabad
    33. Abdul Haleem Syed, Hyderabad
    34. Abdul Hannan, Gangtok
    35. Abdul Quddus, Mumbai
    36. Abdul Rahiman P K, University of Madras, Chennai, Tamil Nadu
    37. Abdul Rasheed, Kerala History Congress, Kerala
    38. Abdul Rasheed, India
    39. Abdul Rub Rayyan, Hyderabad
    40. Abdul Wahid, New Jersey
    41. Abdul Wase, Dayton, OH
    42. Abdussalam Puthige, Director, Media center, Mangalore
    43. Abha Dev Habib, Miranda House, University of Delhi
    44. Abha Sur, MIT, Cambridge, MA
    45. Abhay Kanta, Editor, Parivartanacha Watsaru, Thane
    46. Abhay Kumar, New Delhi
    47. Abhay Regulagedda, Patent Agent, Bengaluru
    48. Abhay Sharma, Mumbai
    49. Abhaya Nath Das, Advocate , Gurugram
    50. Abhayraj Naik, Researcher and Consultant, Bangalore
    51. Abhijit Gupta, Hyderabad
    52. Abhijit Mitra, IIIT Hyderabad
    53. Abhijit Mukerjee, Kolkata
    54. Abhijit Sarkar, Indian citizen. Delhi
    55. Abhijit Sengupta, Bengaluru
    56. Abhijith R, Independent. Kerala
    57. Abhijith T S, PhD Scholar, Changanacherry
    58. Abhimanue Govindan, Artist Vadodara
    59. Abhinav Muley, Academecian, Nagpur
    60. Abhishek Arun, Student, delhi
    61. Abhishek Kaicker, UC Berkeley
    62. Abhishek Kumar, Banda
    63. Abhishek Majumdar, New Delhi
    64. Abhishek Shingala, NRI Grenoble france
    65. Abhishek Singh Chauhan, Panjab University, Chandigarh
    66. Abhiti Gupta, Lawyer, Delhi
    67. Abid T.P., Mumbai
    68. Abida Rahmani, Canada
    69. Abigail Popple, McGill Daily, Montreal
    70. Abinash Rai, EFLU
    71. Achal Fl, Bangalore
    72. Achal Prabhala, Researcher and writer
    73. Achin Chakraborty, Institute of Development Studies, Kolkata
    74. Achin Chakraborty, Institute of Development Studies Kolkata
    75. Achinta Narayanchowdhury, Kolkata
    76. Achintya Ghosh, India
    77. Achyut Das, Agragamee Kashipur Rayagada Odisha
    78. Adeel Ahmad, USA
    79. Adil Qureshi, Washington DC
    80. Adil Sheikh, Pune
    81. Aditi Arur
    82. Aditi Banerjee Independent Filmmaker
    83. Aditi Chaturvedi, Assistant Professor of Philosophy, Ashoka University
    84. Aditi Pradhan, Jawaharlal Nehru University
    85. Aditi Rao, Actor
    86. Aditya Balasubramanian, Australian National University
    87. Aditya Krishna, Student
    88. Aditya Kumar, New Delhi
    89. Aditya Mukherjee, Retired Professor, Centre for Historical Studies, JNU, New Delhi
    90. Aditya Naik, Concerned citizen, Goa
    91. Aditya Nimbalkar, Independent Mumbai
    92. Aditya Pande, Independent, new delhi
    93. Aditya R, University of Manchester, UK
    94. Aditya Rametra, Chandigarh
    95. Aditya Vyas, Activist, Nashik
    96. Admiral Ramdas, Former Chief of Naval Staff L, Former Chief of Naval Staff
    97. Admiral Vishnu Bhagwat, Former Chief of the Naval Staff
    98. Adnan Yasir, Muzaffarpur , Bihar.
    99. Adolfo Naya, Social Anthropologist-Galiza
    100. Adrian Correa, Mumbai
    101. Afrah Shafiq, Visual Artist, Goa
    102. Afreen Khan, Advocate, High Court of Bombay
    103. Afsar Basha, Coimbatore
    104. Aftab Alam, University of Cambridge
    105. Aftab Alam, University of Delhi, New Delhi
    106. Aftab Hamid, Jammu, Indian
    107. AGk Menon, Architect and Urban Planner
    108. Agastya Thapa
    109. Agrima Kumar, Noida
    110. Ahmad Khan, Student, University of Hyderabad | Balrampur, Uttar Pradesh
    111. Ahmad Rashid, McGill University, Montreal
    112. Ahmar Raza, Scientist New Delhi
    113. Ahmed Ali, Hyd
    114. Ahsan Khan, Indian American Muslim Council, US
    115. Ahsan Qureshi, Toronto
    116. Ahtasham Rizvi, Sheridan College, Oakville, ON, Canada
    117. Ahvana Paul, New Delhi, student
    118. Aijaz Zaka Syed, Journalist and columnist
    119. Aisha Gazdar, Karachi
    120. Aisha Shafi, Delhi University
    121. Aishwarya Rajgopalan, Pune
    122. Aishwarya V, Student, Pune
    123. Ajai Bhatnagar, Pune
    124. Ajantha Subramanian, Harvard University
    125. Ajay Bhagwani, Pimpri Pune
    126. Ajay Bhardwaj, PhD Candidate, UBC , Vancouver, BC.
    127. Ajay Gudavarthy, CPS, JNU
    128. Ajay Gujari, Mumbai
    129. Ajay K Mehra, Political Scientist
    130. Ajay Kumar Khemka, Bangalore
    131. Ajay Phatak, Pune
    132. Ajay Shaw, Writer, Mumbai
    133. Ajay Skaria, University of Minnesota
    134. AJC Bose Delhi University
    135. Ajeet Singh, Citizen of India, Noida
    136. Aji Valliathu Narayanan Achari, Rotterdam
    137. Ajit Kumar, Hyderabad
    138. Ajit Kumar Ray, Rtd Professor, North Bengal University
    139. Ajit Menon, Madras Institute of Development Studies, Chennai
    140. Ajita Rao, WSS,Delhi
    141. Ajitha G S, Publishing / Bangalore
    142. Ajoy John, Kolkata
    143. Akash Kumar, Finland
    144. Akbar Panju, McMaster University
    145. Akeel Merchant, Mumbai
    146. Akhil Khanna, Bangalore
    147. Akhil Kumar, Journalist, New Delhi
    148. Akhil Sharma, Duke University North Carolina
    149. Akhila Kumaran, TISS, Mumbai
    150. Akhum Longkumer, Delhi university, new Delhi
    151. Akif Patel, Mumbai
    152. Akshay Dua, University of Toronto
    153. Akshay Jaitly, Delhi
    154. Akshay Mahajan, Goa
    155. Akshay S, IIT Bombay
    156. Akshay Sawant, IIT Bombay
    157. Akshaya Mukul, Journalist & Author
    158. Akshaya Tankha, PhD Student, University of Toronto
    159. Alaka Basu, Professor, Cornell University
    160. Alan Bosco, Delhi
    161. Alan Rusbridger, Former Editor, The Guardian
    162. Albeena Shakil, Sonipat
    163. Alex Dmello, Mumbai
    164. Alf Nilsen, University of Pretoria, South Africa
    165. Ali Bijle, Pune
    166. Ali Imran, Gurgaon
    167. Ali Mohammad, c
    168. Aliasgar Contractor, IIT Bombay
    169. Alicia Giron, UNAM-MEXICO
    170. Alicia Otani, Reno, Nevada
    171. Alida Sroz, New Delhi
    172. Aliza aiman, gaya
    173. Alka Acharya JNU, New Delhi
    174. Alka Narula, N.Delhi
    175. Alka Sinha, Ghaziabad
    176. Alka Sinhs, Ghaziabsd
    177. Alnawaz Alam, X-Student, Kirorimal College
    178. Alok Agarwal, Narmada Bachao Andolan
    179. Alok Johri, McMaster University
    180. Alok Laddha, Chennai
    181. Alok Rai, Rtd Professor, DU
    182. Alok Sheel, Ncr
    183. Alpa Shah, London School of Economics
    184. Altaf Khan, Mumbai
    185. Amar Jesani, Editor, Indian Journal of Medical Ethics, Mumbai
    186. Amar Kanwar, New Delhi
    187. Amaresh Kumar, Delhi.
    188. Amba Singh
    189. Ambarish Rai, Activist
    190. Ambika Menon, Kochi
    191. Ambika NAIR, Gurgaon
    192. Ambika Singh, Psychoanalytic Psychotherapist, New Delhi
    193. Ambrish Ambrish, None New Delhi
    194. Ameet Parameswaran, Jawaharlal Nehru University
    195. Ameet Sikka, Navjeevan Vihaar
    196. Amélie Blom, Institut National des Langues Orientales (INALCO), Paris
    197. Ami Shroff, Self-employed from Mumbai
    198. Amin Jibril, Canton, Michigan
    199. Amin Zama, Boston
    200. Amir Khan, Professor Hyderabad
    201. Amir Khan, Noida
    202. Amir Patel, Bangalore
    203. Amit Baishya, University of Oklahoma
    204. Amit Baruah, Resident Editor (Delhi), The Hindu
    205. Amit Bhaduri, Former Emeritus Professor, JNU
    206. Amit Chaudhuri, Writer
    207. Amit Chawla, None.Delhi
    208. Amit Garde, Private Citizen, Pune
    209. Amit Gupta, Concerned citizen. Hyderabad
    210. Amit Kumar, Student, New Delhi
    211. Amit Narkar, Individual, Goa
    212. Amit Sen, Doctor, Delhi
    213. Amit Sengupta, Executive Editor, Hard News
    214. Amit Singh, IIT Bombay, Bombay, India
    215. Amita Baviskar, Ashoka University
    216. Amita Joseph, Advocate delhi
    217. Amita Yadav, Vancouver,Canada
    218. Amitabh Das, IPS 94 batch ,Patna ,Bihar
    219. Amitabh Trehan, Loughborough university, UK
    220. Amitabha Basu, Retired Scientist, CSIR, New Delhi
    221. Amitabha Bose Bose, Brooklyn, NY
    222. Amitabha Pande, Retired civil servant
    223. Amitava Adhikari, Guest teacher @ RGU, A P
    224. Amitayus Dasgupta, Kolkata
    225. Amjad KHAN, Toronto
    226. Amjad Syed, Canada
    227. Amjad Syed, Canada
    228. Amlan Das Gupta, Retired Teacher
    229. Ammu Abraham, Women’s rights and Civil liberties activist, Mumbai, Maharashtra
    230. Amna Khan, Student, India
    231. Amod Shah, PhD Researcher, International Institute of Social Studies, The Hague
    232. Amogh Dhar Sharma, Oxford
    233. Amol Palekar, Actor
    234. Amol Kamble
    235. Amrapali Basumatary, University of Delhi
    236. Amrit Wilson, South Asia Solidarity Group London
    237. Amrita Arya, Professional, delhi
    238. Amrita Banta, SINGAPORE
    239. Amrita Basu, Amherst College
    240. Amrita Chakravarty, JNU, DELHI
    241. Amrita Chhachhi, International Institute of Social Studies, The Hague
    242. Amrita Pande, University of Cape Town
    243. Amrita Shodhan, SOAS, University of London
    244. Amrut Raj, Bangalore
    245. Amy Finnerty, New York
    246. Anaam Mishra, Mumbai
    247. Anaka Kaundinya, Independent journalist, Mumbai/New York City
    248. Anamica Sharma, Delhi University
    249. Anamika Asthana, JNU, NEW DELHI
    250. Anamitra Roychowdhury, JNU, New Delhi
    251. Anand Arokiaraj, Chennai
    252. Anand Bhatt, Mumbai India
    253. Anand chakravarti, Retired teacher, Delhi
    254. Anand Pandian, Professor, Johns Hopkins University
    255. Ananda Swaroop, Delhi
    256. Anandita Bajpai, Humboldt University and ZMO, Berlin
    257. Anant Mann, Chandigarh
    258. Anant Phadke, Pune
    259. Ananya Hansraj, Mumbai
    260. Ananya Sengupta, London
    261. Ananya Vajpeyi, CSDS
    262. Anar Mirkar, USA
    263. Andrew Butcher, Melbourne, Australia
    264. Andrew Jennings, Mumbai
    265. Andy Rutherford, London, uk
    266. Aneel Y, Hyderabad
    267. Aneesh P B, Chennai Mathematical Institute, Chennai
    268. Angbin Yasmin, New Delhi
    269. Angelie Multani, IIT Delhi Delhi.
    270. Angrej Singh, Mohali Punjab
    271. Angshukanta Chakraborty, Former Editor, The Leaflet | New Delhi
    272. Angshupriya Danda, New Delhi
    273. Angule Dazo, EFLU
    274. Ania Loomba, University of Pennsylvania
    275. Aniket Aga, Nashik
    276. Aniket Kamble, Doctor , Mumbai
    277. Anil Chamadia, journalist writer
    278. Anil Pradhan, Bhubaneswar
    279. Anil Rai, Economist New Delhi
    280. Anil Singh, New Delhi
    281. Anil T Varghese, Delhi Solidarity Group
    282. Anil Thakur, New Delhi
    283. Anil Tulse, Pune
    284. Anil Varughese, Carleton University, Ottawa, Canada
    285. Anindita Guha, Gurgaon India
    286. Anindito Mukherjee, Bloomberg, Noida
    287. Anindya Dey, Kolkata
    288. Anindya Sinha, National Institute of Advanced Studies, Bangalore
    289. Anirban Baishya, Fordham University
    290. Anirban Bhattacharya, Bangalore
    291. Aniruddha Das, Columbia University
    292. Aniruddha SenGupra, Writer, Goa
    293. Anis Chaudhary, Muzaffanagar
    294. Anish Chowdhury, General surgeon pgimer chandigarh
    295. Anish Kapoor, Sir Anish Kapoor, UK
    296. Anish R, Citizen, Hyderabad
    297. Anita Cherian, Ambedkar University
    298. Anita Desai, writer
    299. Anita Dube, Artist, Gr. Noida
    300. Anita Guha, IBM, Bangalore
    301. Anita Ramesh, News reader from Bangalore
    302. Anita Rampal, Educationist, Delhi
    303. Anita Singh, Bangalore.
    304. Anjal Lele, Germany
    305. Anjali Bhardwaj, Delhi
    306. Anjali Choksi, Montreal, Canada
    307. Anjali Mody, New Delhi
    308. Anjali Monteiro, Filmmaker and Academic, Mumbai
    309. Anjali Venugopalan, Journalist
    310. Anjan Dasgupta, Retired Government Official, New Delhi
    311. Anjan Mukhopadhyay, Kolkata
    312. Anjana Mangalagiri, Retiree, New Delhi
    313. Anjana Prakash, Independent citizen
    314. Anjor Bhaskar, Right to Food and Work Campaign, Jharkhand
    315. Anju Dodiya, Artist, Mumbai
    316. Anjum Khan, Activist, Cape Town
    317. Ankan Paul, Mysore
    318. Ankila Hiremath, Delhi
    319. Ankita Anand, Journalist, Delhi
    320. Ankita Pandey, Assistant Professor, Indraprastha College for Women
    321. Ankur Jalota, California
    322. Ankur Sarin, IIM Ahmedabad
    323. Anna Correa, Mumbai
    324. Anna Joseph Olickal, Chetna Bharati
    325. Annapurna Garimella, A.R.T. Library, New Delhi
    326. Annu Matthew, Professor, Univ of Rhode Island
    327. Anomita Sen, New Delhi
    328. Anoushka R, Student, NLSIU
    329. Ansari shareha, INDIA
    330. Anshu Malhotra, University of California, Santa Barbara, USA
    331. Anshu Singh, New Delhi
    332. Anshuman Panigrahi, Indian citizen/ Odisha
    333. Anthoniraj Thumma, Hyderabad
    334. Anthony Thomas, Rtd, Economic Times
    335. Antony Joseph, St. Berchmans College, Kerala
    336. Antony Kollannur, Consultant, Child Survival & Development, Kochi
    337. Anu Mandavilli, ASATA
    338. Anubha Rastogi, Independent Lawyer
    339. Anuj Bhuwania, OP Jindal Global University
    340. Anuj Dawar, University of Cambridge, UK
    341. Anuja Gupta, Citizen, Delhi
    342. Anuja Jain, London
    343. Anumeha Yadav, Journalist
    344. Anup J, Brisbane
    345. Anup Sinha, Retired professor of IIMC
    346. Anupam AH, IMSC, chennai
    347. Anupam Tripathi, Delhi University
    348. Anupama Datta, HelpAge India, New Delhi
    349. Anupama Hara, Delhi
    350. Anupama Potluri, University of Hyderabad, India
    351. Anupama Roy, Jawaharlal Nehru University, Delhi
    352. Anuparma Srinivasan, Filmmaker, New Delhi
    353. Anuradha Ahluwalia, Friend
    354. Anuradha Bhasin, na
    355. Anuradha Chenoy, Professor (Rtd), JNU
    356. Anuradha Goyal, New Delhi
    357. Anuradha Gulati, Noida
    358. Anuradha Joshi, Fellow, Institute of Development Studies, UK
    359. Anuradha Kapoor, Feminist Activist, Kolkata
    360. Anuradha Kapur, Theatre worker
    361. Anuradha Lobo, Goa
    362. Anuradha Marwah, Delhi University
    363. Anuradha P, Development Professional, Bangalore
    364. Anuradha Potluri, Hyderabad
    365. Anuradha Raman, The Hindu
    366. Anuradha Tandon, Mumbai
    367. Anurag Singh, Rough Cut productions Delhi
    368. Anusha Bhagat, Mumbai
    369. Anusha Bhansali, Student, South Asian University
    370. Anusha Khan, Documentary filmmaker, Mumbai
    371. Anushk Sen, Indiana University, Bloomington (USA)
    372. Anushka Gupta, Mumbai
    373. Anushka Singh, AUD
    374. Anushree Jairath, Oxfam India
    375. Anustup Basu, University of Illinois at Urbana-Champaign
    376. Anver Ali, poet
    377. Apar Gupta, advocate
    378. Aparajay Surnameless, MIDS, Chennai
    379. Aparajita De, Vidyasagar College
    380. Aparna Balachandran, University of Delhi, Delhi
    381. Aparna Chaudhuri, Ashoka University
    382. Aparna Nandakumar, Providence Women’s College, Kozhikode
    383. Aparna Pathak, Co-founder, Lucknow/delhi
    384. Aparna Rayaprol, University of Hyderabad, Hyderabad
    385. Aparna Sundar, University of Toronto, Canada
    386. Aparna Vaidik, Delhi
    387. Aparna Viswanathan, Contributor to the Wire New Delhi
    388. Apoorva Bhatt, Ahmedabad
    389. Apoorvanand Jha, Professor, Delhi University
    390. Arab Mohamed Nasit, Milton Ontariov
    391. Arabindu Dasgupta, Belgharia, westbengal 700056
    392. Aradhna Sharma, Wesleyan University
    393. Aradhana Dwivedi-Verma, Student, Montreal
    394. Aradhana Seth, Goa. India
    395. Aravinda Potluri, Concerned citizen, Hyderabad
    396. Archana Bhardwaj, Bangalore
    397. Archana Dixit, Retired Assoc Prof DU
    398. Archana Parag, Raipur
    399. Archana Prasad, JNU
    400. Archanaa Seker, Chennai
    401. Ardhendu Sen, Constitutional Conduct Group New Delhi
    402. Areeb Rizvi, Research Scholar, Delhi
    403. Areef Raj, Hyderabad
    404. Areesh Jungalwala, xx
    405. Arghya Sengupta, New Delhi
    406. Arif Ali, Professor
    407. Arif M, Palakkad Kerala
    408. Arif Mughloo, srinagar
    409. Arif Qureshi, Jaipur
    410. Arild Engelsen Ruud, Professor, University of Oslo.
    411. Aritra Mukherjee, Research, University of delhi
    412. Arjun Appadurai, New York University and Hertie School (Berlin)
    413. Armaity Sumariwalla, Mumbai
    414. Arnab Banerjee, Doctor, Kolkata
    415. Arpitha Kodiveri, European University Institute
    416. Arshad Hussain, America
    417. Arshad Jilani, Born and brought up in India, now in Canada
    418. Arshia Sattar, Writer
    419. Arshid Baba, Education and Kashmir
    420. Arthur MacEwan, University of Massachusetts Boston
    421. Arti Kirloskar, Pune
    422. Arudra Burra, IIT Delhi
    423. Arun B., Blr
    424. Arun Bhaskar, Chennai
    425. Arun Bidani, Teachers Against Climate Crisis (TACC), Delhi
    426. Arun Goyal, ABS
    427. Arun Issar, Delhi
    428. Arun Khopkar, Film-maker and author
    429. Arun Kullu, Delhi
    430. Arun Kumar, Professor, ISS, New Delhi
    431. Arun Kumar Bairwa, Indian Institute of Management Indore
    432. Arun Sri Kumar, Lawyer, Delhi
    433. Aruna Burte, Pune, Maharashtra
    434. Aruna Chandrashekhar, Journalist
    435. Aruna Raj, Karnataka
    436. Aruna rodrigues, Sunray Harvesters
    437. Aruna Roy, Mazdoor Kisan Shakti Sangathan (MKSS) Rajasthan
    438. Aruna Vasudev, film critic
    439. Arunabh Ghosh, Harvard University
    440. Arunabha Misra, AIPSN, West Bengal
    441. Arundhati Dhuru, Activist
    442. Arundhati Roy, Writer
    443. Arundhati Savadatti, Dharwad
    444. Arunima G, Centre for Women’s Studies, JNU
    445. Arvind Kaul, Retd Govt officer New Delhi
    446. Arvind Kumar, CITU, Kanpur
    447. Arvind Rajagopal, Professor, NYU
    448. Arvind Sivaramakrishnan
    449. Aryak Guha, Faculty, S C College, Habra, West Bengal
    450. Aryan Patnaik, Student , Bhubaneswar
    451. AS Gupta, Media professional, India
    452. AS Panneerselvan, Readers Editor, The Hindu
    453. Asad Rauf, Asst Prof (University of Groningen)
    454. Asanda Benya, University of Cape Town, South Africa
    455. Aseer Azmi, Bangalore
    456. Asfhan Mulla, UAE
    457. Ash Jaf, Bangalore
    458. Asha G, Innovation hub, trivandrum
    459. Asha Jyothi, EFL University, Hyderabad/SIPA, Columbia University, NY
    460. Asha Mishra, Bhopal
    461. Ashalatha S, Hyderabad
    462. Ashim K Mukherjee, Retired Professor
    463. Ashique TK, Singapore
    464. Ashish Kothari, Pune
    465. Ashlesha Khadse, Independent
    466. Ashley Cohen, USC
    467. Ashley Cohen, USC
    468. Ashok Bhatia, New delhi
    469. Ashok Choudhary, AIUFWP
    470. Ashok Jha, Freelance journalist delhi
    471. Ashok Kumar, IIT KANPUR
    472. Ashok Kumar Sharma, IFS (Retd.)
    473. Ashok Kumar Sircar, Azim Premji University, Bangalore
    474. Ashok Lall, Ashok B Lall Architects, New Delhi
    475. Ashok Nehru, New Delhi
    476. Ashok panikkar, Washington DC
    477. Ashok Prasad, Colorado State University, Fort Collins
    478. Ashok Purohit, Muscat
    479. Ashok Rana, Others
    480. Ashok Rao, New Delhi
    481. Ashoke Thakur, Ex-VC West Bengal State University, Kolkata
    482. Ashraf Bhat, JU
    483. Ashutosh kumar, Jan Sanskriti Manch
    484. Ashutosh Mohod, L&T Telangana
    485. Ashutosh Singh, Singapore
    486. Ashutosh Varshney, Brown University
    487. Ashwin Iyer, Avid reader, Mumbai
    488. Ashwin M, Mumbai
    489. Ashwin Subramanian, CEMIS Gottingen
    490. Ashwin Tombat, Goa
    491. Ashwini Ailawadi, Citizen, Delhi
    492. Ashwini Deshpande, New Delhi
    493. Ashwinu Kumar, Janchetna Janmukti
    494. Asif Khan, Mumbai
    495. Asim Hussain, Canada
    496. Asim Panda, India
    497. Asis Kumar Das, West Bengal
    498. Asiya Islam, University of Cambridge
    499. Askari Zaidi, Delhi
    500. Aslam Saiyed, Wisconsin
    501. Asma Khan, India
    502. Asma Pasha, Hyderabad
    503. Asma Pasha, Hyderabad
    504. aswathy s, Kerala
    505. Ataullah Khan, Research and Canada
    506. Atharva Vaze, Pune
    507. Atiya Bose, New Delhi
    508. Atish Dabholkar, Trieste, Italy
    509. Atreyee Gohain, Bethune-Cookman University, US
    510. Atreyee Majumder, New Delhi
    511. Atul Bhardwaj, City, University of London
    512. Atul Dodiya, Artist, Mumbai
    513. Atul Kumar, The Company Theatre
    514. Atul Maurya, Mumbai
    515. Atul Sarin, Gurugram
    516. Atul Sharma, Mumbai
    517. Atul Sood, JNU, New Delhi
    518. Atyaan Jungalwala, xx
    519. Aubrey dSouza, gujarat
    520. Audrey Truschke, Associate Professor, Rutgers University-Newark
    521. Augusto Pinto, Associate Professor, Goa.
    522. Avantika Mohan, New delhi
    523. Avikal Parashari, Student at AJKMCRC, Jamia Millia Islamia
    524. Avinash Kumar, Amnesty International India, Bengaluru
    525. Avinash Kumar, JNU
    526. Avinash TN, Bangalore
    527. Ayan Saxena, Mumbai
    528. Ayesha Jamil, None
    529. Ayesha Kapur,
    530. Ayesha Kidwai, Jawaharlal Nehru University
    531. Ayesha Sayani, Mumbai
    532. Ayesha Vemuri, McGill University, Montreal
    533. Ayushi Arora, Student living in Delhi
    534. Azam Khan, Hyd
    535. Azeezur Rahman, Tamil Nadu
    536. Azhar Athar, Social worker
    537. Azhar Saiyed, Vadodara
    538. Aziz Choudry, Associate Professor, Integrated Studies in Education, McGill University, Canada
    539. Baba Baba, India
    540. Baba Bhore, Member of Reformists movement
    541. Bachoo Rao, Mumbai
    542. Baidik Bhattacharya, Centre for the Study of Developing Societies, Delhi
    543. Bal Boora, None
    544. Bakirathi Mani
    545. BALAJI K, Self employed
    546. Balaji Narasimhan, California, USA
    547. Balbir Singh Butola, CSRD, JNU.
    548. Balmurli Natarajan, USA
    549. Balveer Arora, Professor Centre for Multilevel Federalism
    550. Bani Abidi, Berlin, Germany
    551. Banu Subramaniam, Professor, University of Massachusetts-Amherst
    552. Banu Wadhw, Delhi
    553. Barbara Harriss White, University of Oxford
    554. Barbara Lowe, USA
    555. Baroon Varma, NA
    556. Barun Mitra, Delhi
    557. Bashabi Fraser, Professor Emerita, Director, Scottish Centre of Tagore Studies
    558. Basharath Ali, Hyderabad
    559. Basheer Thayyil, Islam Kozhikode, Kerala
    560. Basudeb Biswas, Coochbehar, West Bengal
    561. Bedabrata Pain, Ex-NASA scientist and film-maker, Los Angeles
    562. Beena K, Palakkad, Kerala
    563. Bela Bhatia, Bastar, Chhattisgarh
    564. Belinder Dhanoa, Visiting faculty, AUD, Delhi
    565. Bernard BAHOUT, France
    566. Bernard D’Mello, Mumbai
    567. Bestin Babu, Muscat, Oman
    568. Beulah Kolhatkar, Citizen of India
    569. Bhanuj Kappal, Journalist
    570. Bhanukiran Chintha, Hyderabad
    571. Bharat Bhushan, Journalist
    572. Bharath T, Chennai
    573. Bharathi Gitanjali, Hyderabad
    574. Bharati jagannathan, Miranda House, Delhi University
    575. Bharati M, Delhi
    576. Bharati Mirchandani,
    577. Bharti Ali, HAQ: Centre for Child Rights, New Delhi
    578. Bhaskar Chatterjee, Political & National affairs EditorKolkata TV, Delhi
    579. Bhavani Raman, University of Toronto, Canada
    580. Bhavik Kothari, Mumbai
    581. Bhavna Sood, Delhi
    582. Bhavuk Jain, Architect, Haridwar
    583. Bhavya Joshi, Student
    584. Bhupinder Singh, India
    585. Bianca Jagger, BJHRF, London
    586. Bidisha Biswas, Western Washington University, USA
    587. Bidisha Ganguly, Bangalore
    588. Bidisha Sinha Roy, Kolkata
    589. Biju Ibrahim, Kerala
    590. Biju Mathew, Associate professor of business, Rider University NJ
    591. Bilal Qadri, Hyderabad, Secunderabad
    592. Bilal Siddiqui, Canada
    593. Bindhulakshmi Pattadath, Mumbai
    594. Bindu Prasad, Consulting psychologist, New Delhi.
    595. Bindu Vashist, Singapore
    596. Binod Kumar, Ranchi
    597. Binyl Koshy, Pune
    598. Biplab Saga, Abu Dhabi
    599. Biraj Bose, Delhi
    600. Biraj Swain, Media Critic, International Development, Strategy and Policy
    601. Bishakha Datta, Mumbai
    602. Bishnupriya Dutt, JNU
    603. Bishnupriya Ghosh, University of California-Santa Barbara
    604. Bishnupriya Gupta, University of Warwick
    605. Biswajit Ghosh, Burdwan, West Bengal
    606. Bitan Dutta, Purba Barddhaman, West Bengal
    607. Bittu K R, WSS, Haryana
    608. Blodsow VS, Kerala
    609. BM Prasad, Lucknow
    610. Bosco Bhandarkar, Mumbai
    611. Brahma Prakash, Assistant Professor, Jawaharlal Nehru University, New Delhi
    612. Brij Tankha, Professor, Delhi University (Retired)
    613. Brinda Bose, Jawaharlal Nehru University, New Delhi
    614. Brinda Crishna, Bangalore
    615. Brinda Datta, Biblio: A Review of Books, New Delhi
    616. Britta Ohm, Institute of Social Anthropology, University of Bern, Switzerland
    617. Brp Bhaskar, Mediaperson Chennai
    618. Bruce DePenha, Mumbai
    619. Budhaditya Bhattacharyya, Durham University, United Kingdom
    620. Burnadfatima Natesan, Society for Rural education and development
    621. Bushra Duberia, Homemaker
    622. Bushra Rizvi, Delhi
    623. Buta Singh, Baba Bujha Singh Publications, Nawanshahr, Punjab (India)
    624. C Balakrishnan, Retd. Secretary to GOI
    625. C S R Murthy, JNU
    626. K. MEENA, Freelance writer, Bangalore
    627. Lakshmanan, Prof – Fellow, MIDS – Chennai
    628. M. Naim, University of Chicago
    629. P. Chandrasekhar, Former Professor, JNU, New Delhi
    630. Cariline Jeja, Gurgaon
    631. Carmel Christy, Kamala Nehru College, Delhi
    632. Carmine Gorga, The Somist Institute
    633. Carol Upadhya, Bangalore
    634. Caroline Barker, LONDON
    635. Caroline Gros, Alternatives, Montréal
    636. Catherine Pappas, Alternatives, Montreal
    637. Cavery bopaiah, retired
    638. Cecile Bahout, France
    639. Cedric Prakash, PRASHANT Centre for Human Rights Justice & Peace
    640. Chacko Anthony, Social work Jharkhand
    641. Chaman Lal, Retired Professor JNU, New Delhi
    642. Chanchal Sheik, Bangalore
    643. Chanda Singh, New Delhi
    644. Chandan Dalawat, Harish-Chandra Research Institute, Allahabad
    645. Chandan Gowda, Academic and Writer, Bengaluru
    646. Chandan Kumar, None,Delhi
    647. Chandan Mukherjee, Concerned citizen
    648. Chandan Nandy, Senior Journalist, International Strategy, Policy & Politics
    649. Chander Uday Singh, Senior Advocate, Supreme Court
    650. Chandran Puthiyottil, Bangalore
    651. Chandran zacharias, Trivandrum
    652. Chandrashekara Krishnappa, Retired
    653. Chandrima Roy, Kolkata
    654. Chandru Chawla, Mumbai
    655. Charudatta Navare, Mumbai
    656. Charul Joshi, Malad Mumbai.
    657. Chayanika Shah, Member, LABIA – A Queer Feminist LBT Collective Mumbai
    658. Cheryl Dsouza, Advocate
    659. Chetan Bhatt, LSE
    660. Chetan Prakash, Delhi
    661. Chetana Prabhu, India
    662. Chethan P, India
    663. Chhaya Datar, Ex-TISS Professor in Mumbai
    664. Chinmoy Banerjee, SANSAD
    665. Chinu Srinivasan, LOCOST, Vadodara
    666. Chirag Arora, Delhi
    667. Chirag D, Mumbai
    668. Chirag Shah, Vadodara
    669. Chirashree Das Gupta, JNU, New Delhi
    670. Chitra Joshi, Delhi
    671. Chitra Singh, Noida
    672. Chitralekha Dhamija, Jawaharlal Nehru University, Delhi
    673. Chitrangada Choudhury, Journalist
    674. Chittaroopa Palit, Narmada Bachao Andolan, M.P
    675. Chitwan Kaur, Safdarjung enclave
    676. Chris Fuller, LSE
    677. Christa Wichterich, University of Bonn
    678. Christiane Brosius, Heidelberg University
    679. Christine Gledhill, Retired Professor, Staffordshire University, UK
    680. Christophe Jaffrelot, Professor, Sciences Po, Paris
    681. Christopher Chen, Singapore
    682. Chukka Srinivas, San Jose California
    683. Clare Talwalker, University of California, Berkeley
    684. Claude Bahout, France
    685. Corazon Fabros, International Peace Bureau/Philippines
    686. Cosmas Isaac, Education Gujarat I
    687. Craig Calhoun, Arizona State University
    688. Crystal D John, Chennai
    689. Cyrus Sanches, Goa
    690. Dayanita Singh, photographer
    691. D K Prajapati, Chhindwara madhya pradesh
    692. Narasimha Reddy, Prof of  Economics (Rtd), University of Hyderabad
    693. D Raghunandan, Delhi Science Forum, Delhi
    694. D Ravi Kanth, Journalist, Geneva
    695. Charles, Educationist
    696. K. Lobiyal, Jawaharlal Nehru University
    697. Dag Erik Berg, Molde University College
    698. Daniel Guerrier, Journalist, France
    699. Danielle Karanjeet de Feo-Giet, Independent Scholar, Boston, USA
    700. Darab Farooqui, Screenwriter
    701. Darshana S Mini, University of Southern California
    702. Dasarathi GV, Bengaluru
    703. David Hesmondhalgh, University of Leeds, UK
    704. David Lelyveld, New York
    705. David Ludden, Professor, NYU
    706. David Shulman, Hebrew University
    707. David Solomon, Ranchi
    708. Dawa Lhamu, Student, west Bengal
    709. Dawda Rajesh, Vashi, navi Mumbai
    710. Dayadeep Monder, IIT Bombay, Mumbai
    711. Deb Mukharji, Member of Constitutional Conduct Group
    712. Debabrata Roy, University of Kalyani, Kalyani
    713. Debajyoti Choudhury, University of Delhi
    714. Debangana Sen, Hyderabad
    715. Debashis Basu, Journalist
    716. Debashis Ghoshal, Jawaharlal Nehru University, New Delhi, India
    717. Debashish Bhattacherjee, IIM Calcutta
    718. Debashree Mukherjee, Columbia University, New York
    719. Debjani Bhattacharyya, Drexel University, Philadelphia
    720. Debojyoti Adhikary, Kolkata
    721. Debraj Ray, NYU
    722. Debrup Chakraborty, ISI Kolkata
    723. Dee S, NJ
    724. Deep Rustagi, Gurgaon
    725. Deepa Kamath, xx
    726. Deepa Kamath, Design Professional
    727. Deepa Kumar, Rutgers University
    728. Deepa V, Professional, India
    729. Deepa v, Health Activist, Delhi
    730. Deepak Gupta, Coimbatore
    731. Deepak Joshi, Australia
    732. Deepak Malghan, IIM Bangalore
    733. Deepak Malghan, IIM Bangalore, Bengaluru, INDIA
    734. Deepak Nayyar, Professor, JNU
    735. Deepak Sanan, Retired civil servant Shimla
    736. Deepankar Basu, University of Massachusetts Amherst
    737. Deepanshu Agrawal, Teacher, Kashipur (Uttarakhand)
    738. Deepika Garg, Delhi
    739. Deepika Joshi, Researcher
    740. Deepika Khatri, Development practitioner, Mumbai
    741. Deepika Sharma, Filmmaker, New Delhi
    742. Deepta Chopra, Research fellow, institute of development studies
    743. Deepti Bhargava, Gurgaon
    744. Deepti Gopinath, Mumbai
    745. Deepti Srivastava, Gurgaon
    746. Delna Abraham, IndiaSpend, Mumbai
    747. Denys Leighton, AUD
    748. Dev Desai, Social activist ANHAD Gujarat
    749. Dev S, Bangalore
    750. Devaki Jain, Delhi
    751. Devaki Khanna, None, Bangalore
    752. Devanshi Chanchani, Brunel University, UK
    753. Devasahayam MG, Formerly IAS, Nagercoil
    754. Devi Palakurti, Hyd
    755. Devika Bordia, SNU
    756. Devika Das, Author, Hyderabad
    757. Devika Dutt, University of Massachusetts Amherst
    758. Devika Fernandes, Mumbai
    759. Devika Sequeira, Goa
    760. Devika Shankar, University of Hong Kong
    761. Devika Shetty, Goa
    762. Dhanya Gopal, Graduate Student at National University of Singapore
    763. Dheeraj Dheeraj, Independent Researcher
    764. Dheeraj SP, India
    765. Dhiman Chatterjee, CPDR-TN
    766. Dhiraj Kumar Nite, Social Scientist
    767. Dhruv Raina, JNU, New Delhi
    768. Dilip Menon, University of Witwatersrand, South Africa
    769. Dilip Simeon, New Delhi
    770. Dina M. Siddiqi, NYU
    771. Dinesh Abrol, AIPSN
    772. Dinesh Dubey, Mumbai
    773. Dinesh Mohan, Delhi
    774. Dinsha Mistree, Stanford University, USA
    775. Dipa Sinha, Ambedkar University Delhi
    776. Dipak Dholakia, Indian Community Activists Network (ICAN)
    777. Dipak Dholakia, Convener, Indian Community Activists Network (ICAN)
    778. Dipanwita Das, Bangalore
    779. Dipanwita Mazumder, SOAS
    780. Dipesh Chakraborty, University of Chicago
    781. Dipti Khera, NYU
    782. Divakar N, mysore
    783. Divesh Pandey, Masters in Economics, Ashoka University
    784. Divya Cherian, Princeton University
    785. Divya Karan, None, USA
    786. Divyani Motla, University of Toronto, Canada
    787. Diwakar Upadhyay, University of Hyderabad
    788. Diya Chordia, Student, Rajasthan
    789. Dolores Chew, CERAS, Montreal
    790. Doreen D’cruze, Kolkata
    791. Anand Teltumbde, Goa
    792. Kunda Srinivadan, Mumbai
    793. Mira Shiva, Public Health Physician
    794. Mohammed Ali, Lethbridge, Alberta
    795. MS Gill, Former CEC IAS Rtd
    796. Vinay Kumar Ambedkar, JNU, New Delhi
    797. Abey George, Kerala
    798. Erik de Maaker, Leiden University, The Netherlands
    799. Manzoor Nowshari, Lab Director, KWC-Potsdam, Germany
    800. Neethi Padmanabhan, IIHS, Bangalore
    801. Pranta Pratik Patnaik, Central University of Rajasthan, Ajmer
    802. Suresh Babu, JNU, New Delhi
    803. V Rukmini Rao, Gramya Resource Centre for Women, Telengana
    804. Sudhir Vombatkere, NAPM, Karnataka
    805. Thara K.G, Former Head, Disaster Management Centre, Govt.of Kerala,Trivandrum
    806. Drishti Ganguly, New Delhi
    807. Dunu Roy, Hazards Centre, Delhi
    808. Durba Biswas, Bangalore
    809. Durga Bhamidipati, Hyderabad
    810. Durga Bhavani S, University of Hyderabad, Hyderabad
    811. Durga Nandini, New Delhi
    812. Dushyant Arora, Lawyer, Delhi.
    813. Dwaipayan Bhattacharya, JNU
    814. Dyuti A, PhD Researcher, University of Sussex
    815. Zabiliute, University of Edinburgh, UK
    816. Ebenezer Stanley, Engineer in private firm. Gujarat.
    817. Eleuterio Prado, University of São Paulo
    818. Elizabeth Ames, NJ
    819. Elizabeth Kuruvilla, New Delhi
    820. Emily Black, Journalist, Montreal
    821. Emma Sandon, Birkbeck, University of London, London
    822. Ena Mehra, New Delhi
    823. Ena Zafar, Activist, delhi
    824. Enakshi Bhattacharya, IIT Madras
    825. Enakshi ganguly, New Delhi
    826. Ethiraj Gabriel Dattatreyan, Goldsmiths, University of London
    827. Fahad Hashmi, University of Delhi
    828. Fahil Ejaz, Kolkata
    829. Faisal Devji, University of Oxford
    830. Faiz Ashraf, Kerala
    831. Faizan Iqbal, India
    832. Faizan Patel, Hyderabad
    833. Faizuddin Ahmed Shaik, Telangana
    834. Falak Rahman, Bihar
    835. Fancy Thomas, Kolkata
    836. Farah Naqvi, Delhi
    837. Faraz Daniyal, Hyderabad
    838. Fardeen Siddiqui, None and UK
    839. Farhaan Akhtar, India
    840. Farida Khan, Educationist, academic
    841. Farook Chandiwala, Birmingham Interfaith Human Rights Committee
    842. Farooq Tariq, Asia Europe Peoples Forum, Lahore Left Front
    843. Farrukh Naeem, Alberta,Canada
    844. Faruk Bawani, Social activist– Rajkot
    845. Fayaz Kacho, Research scholar University of St Andrews Scotland
    846. Felipe Sahagún, El Mundo and Complutense University
    847. Felix Padel, Wales
    848. Felix Pal, Australian National University
    849. Feroz Mehdi, General Secretary, Alternatives International
    850. Ferozuddin Muhammad, Toronto Canada
    851. Fiona Dove, Transnational Institute, Netherlands
    852. Fiona Vaz, New Delhi
    853. Firasath Mohammed, Self
    854. Firdaus Mohandas, Delhi
    855. Firos Kalarikkal, Banglore
    856. Firoz Khan, Brampton
    857. Firoza Daruwala, Mumbai
    858. Foram Mehta, Mumbai
    859. Forum Justice, Ranchi
    860. Francesca Recchia, The Polis Project
    861. Francine Mestrum, Global Social Justice
    862. Francis Bahout, Switzerland
    863. Francis Cody, University of Toronto, Canada
    864. Frank Saptel, Private Citizen
    865. Frans Manjali, JNU New Delhi
    866. Franson Davis Manjali, Professor in Linguistics, JNU
    867. Freny Khodaiji, Friend New Delhi
    868. Freny Manecksha, Independent journalist
    869. G Sampath, Journalist
    870. Gabriele Dietrich, NAPM Madueai, T.N.
    871. Gabriele Koehler, independent development economist, Munich, Germany
    872. Gagan Bhatia, Lucknow
    873. Gaganjot Singh, Research Scholar, IIT Kanpur
    874. Gail Sinha, Pune
    875. Ganesh Manjhi, DU
    876. Gangadharan Menon, Professor Adjunct, Rachana Sansad College, Mumbai.
    877. Gauhar Raza, Delhi
    878. Gaurav Garg, Wire Reader, Delhi
    879. Gaurav Garg, NYU
    880. Gauri Gill, Photographer, New Delhi
    881. Gautam Bhattacharya, Freelance designer in Delhi
    882. Gautam Sen, Kolkata
    883. Gayatri A, Gurgaon
    884. Gayatri Khandhadai, Chennai
    885. Gayatri Menon, AzimPremji University, Bengaluru
    886. Gayatri Reddy, University of Illinois at Chicago
    887. Gazala Rahman, USA
    888. Geeta Doctor, Journalist
    889. Geeta Dudeja, Teacher
    890. Geeta Kapur, Art Historian
    891. Geeta R, None, Chennai
    892. Geeta Sheshu, Journalist
    893. Geeta Varma, Mumbai
    894. Geetanjali Chanda, Ashoka University
    895. Geetanjali shree, writer, delhi
    896. Geetartha Pathak, President, Indian Journalists Union
    897. Geetha Ragupathy, Bangalore
    898. Geetha Venkataraman, Professor, AUD
    899. George Palackal, Bengaluru
    900. Gerry Rodgers, Former Director, International Institute for Labour Studies
    901. Gertrude Lamare, LSE
    902. Ghazali Sayed, Aurangabad
    903. Gholam Khiabany, Goldsmiths, University of London
    904. Gianpaolo Baiocchi, NYU
    905. Gill Boehringer, International Association of People’s Lawyers, sydney, australia
    906. Giovanna Gioli, Bath Spa University
    907. Gisella Ali, Australia
    908. Gita Bhatia, New Delhi
    909. Gita Gopalkrishnan, Freelance editor, Chennai
    910. Gita Kripalani, Retd , delhi
    911. Gita Sen, Bengaluru
    912. Gitanjali Rao, Film Maker, Mumbai
    913. Gitanjali Surendran, Associate professor, Jindal Global Law School
    914. Githa Hariharan, Indian Cultural Forum
    915. Goddanti Omkarnath, Hyderabad
    916. Gogu Shyamala, Hyderabad
    917. Gopal Sundarararajan, CPDR-TN, Chennai
    918. Gopalakrishnan Manicandan, Trade Unionist, New Delhi
    919. Gopalan Balagopal, Independent Development Consultant, Wayanad Kerala
    920. Gopalan Ramasubbu, Melbourne
    921. Gopalji Pradhan, Dwarka
    922. Gopika Nath, Goa
    923. Gopinath Ramachandran, Karnataka
    924. Gourab Ghosh, JNU, New Delhi
    925. Gouri Patwardhan, Film-maker, Bangalore
    926. Goutam K Tanti, Technical University Munich
    927. Govinda Vittal, All India Lawyers Union
    928. Gracy Antony, Missionary sister, Netherlands
    929. Greeshma Gireesh, Independent agency, New Delhi
    930. Greg Grandin, Professor, Yale University
    931. Gunasekar Raujaratnam, Chennai, India
    932. Gurjeet Kaur, Punjab
    933. Gurmeet Singh, London, United Kingdom
    934. Gurmeet Singh Pasricha, Citizen of India Gurgaon
    935. Gurpreet Kaur, Researcher, Delhi
    936. Gurpreet Sidhu, NCR/Goa
    937. Gursimran Pasricha, Gurgaon
    938. Gyan Prakash, Professor, Princeton University
    939. Haana Luqman, Delhi
    940. Habeebuddin Mohammed, 8jaymie dr NY
    941. Habibullah, Sasaram
    942. Hafiz Abazi, Hyderabad
    943. Halidh Abu, Sydney
    944. Halima Khan, USA
    945. Hamid Mohammad, Uae
    946. Hamida Merchant, Boston USA
    947. Hans Harder, Heidelberg University
    948. Hans Kaushik, Actor, Mumbai
    949. Harbans Mukhia, Former Professor & Rector, JNU
    950. Harbinder Samra, Retired worker, London
    951. Hardev Sanotra, Freelance Journalist
    952. Harendra Singh, New Delhi
    953. Hari Vasudevan, President, IDSK, Kolkata
    954. Haridas KPN, Bangalore
    955. Harish Dhawan, University of Delhi
    956. Harish Shenai, Bombay
    957. Harmeet Singh, Pune
    958. Harris C P, Kerala
    959. Harry Sam, Delhi
    960. Harsh Kapoor, South Asia Citizens Web (sacw.net)
    961. Harsh Mander, Activist
    962. Harsh Sethi, Retired, former Consulting Editor, Seminar
    963. Harsh Vardhan, Indian
    964. Harsh Yadav, New Delhi
    965. Harsha Ram, University of California, Berkeley
    966. Harshavardhan Hegde, Delhi, orthopaedic surgeon
    967. Harshdeep Singh, Bangalore
    968. Harshita Sinha, LSE
    969. Harsimran Shergill, Punjab
    970. Harvinder Pal Singh, INC & Chandigarh
    971. Haya Noor, Cuttack
    972. Heat Lob, Canada
    973. Heike Liebau, ZMO Berlin
    974. Helen Moffett, Author and independent scholar, Cape Town
    975. Hema Bedi, Chandigarh
    976. Hema Maira, India
    977. Hema Ramaprasad, Bangalore
    978. Hemant Kumar, JNU, DELHI
    979. Hemant Sareen, Writer, artist
    980. Hemant Singh, USA
    981. Henry Joe, Karur dt
    982. Hilal Ahmed, IAS NANTES/CSDS
    983. Himani Sigroha, New delhi
    984. Himanshu, Jawaharlal Nehru University
    985. Himanshu Upadhyaya, APU, Bangalore
    986. Hina S, Mumbai
    987. Hindal Tyabji, retired civil servant delhi
    988. Hitesha Phukan, Concerned Indian, Gangtok, Sikkim
    989. Hiya Rajput, RA at IWWAGE
    990. Hope Cooke
    991. Hriday Dewan, Educator, Delhi
    992. Huma Ahmad, Radical desis, Canada
    993. Huma Ahmed-Ghosh, SDSU. San Diego California
    994. Huma k, India
    995. Huma Khan, Indian citizen
    996. Huma Omar, Ontario
    997. Humaira Tabassum, India
    998. Humayoun Akhtar, Retired
    999. Hunar Jain, Chennai
    1000. Husain Akbar, Delhi
    1001. Husna Mohd, Kerala
    1002. Hussain Indorewala, Reasercher, Mumbai
    1003. Ian Mayes, Friend of Tunku, New Zealand
    1004. Ibrahim Ali Mohammed, London, UK 🇬🇧
    1005. Idrees butt, Canada
    1006. Ike Osmani, Independent, Burnaby, BC
    1007. Ila Ananya, Bangalore
    1008. Ilan Kapoor, Professor, York University
    1009. Ilene Grabel, Josef Korbel School of Int’l Studies, University of Denver
    1010. Ilyas Nagdee, University of Sussex, UK
    1011. Imdad Ahmed, guwahati
    1012. Imran Ahmad, Patna
    1013. Imran Ahmed, Tamil nadu, India
    1014. Imran C, London
    1015. Imran Junaid, Canada
    1016. Imran Khan, Artist, New Delhi
    1017. Imrana Qadeer, Council for Social Development, New Delhi
    1018. Imtiaz Popat, Coalition Against Bigotry-Pacific
    1019. Inderjeet Parmar, City University of London
    1020. Inderpal Grewal, Yale University
    1021. Index on Censorship (as a collective)
    1022. Indian Mumbai, Mumbai
    1023. Indira C., Public Health Researcher
    1024. Indira Chowdhury, Srishti, Bangalore
    1025. Indira Dayal, Concerned citizen
    1026. Indira Jaising, Lswyers Collevtive
    1027. Indira Unninayar, Advocate Supreme Court & Delhi High Court
    1028. Indira Parthasarathy, Writer and Professor
    1029. Indra Bhatia, Concerned citizen from Delhi
    1030. Indrani Chatterjee
    1031. Indrani Chatterjee, Professor of History, University of Texas-Austin
    1032. Indranil Paul, PG Scholar, IIEST Shibpur
    1033. Indrapramit Das, Kolkata
    1034. Indu Chandrasekhar, Publisher, Tulika Books, Delhi
    1035. Indu Chandrashekhar, Tulika Books
    1036. Indu Krishnan, Bangalore
    1037. Indu Prakash Singh, President, Forum Against Corruption & Threats
    1038. Indu Singh
    1039. Ira Roseman, Rutgers University v he
    1040. Irina Brar, Chandigarh
    1041. Irpinder Bhatia, India
    1042. Irudhaya Jothi, Kolkata
    1043. Irum Khan, India
    1044. Isabel Ochoa, Spain
    1045. Isha Ray, Professor, University of California, Berkeley
    1046. Ishan Santra, Homi Bhabha Centre for Science Education, Tata Institute of Fundamental Research
    1047. Ishan Tankha, Independent photographer
    1048. Ishita Banerji, El Colegio de Mexico
    1049. Ishita Mukherjee, Delhi
    1050. Ishita Patil, IIT Bombay
    1051. Ishraq Thameem, Ordinary citizen of India, Bangalore
    1052. Ishtiyak Alam, Citizen, Punjab
    1053. Ismail Haji, Gujarat
    1054. Itty Abraham, National University of Singapore
    1055. J P, Bangalore
    1056. Jean Dreze
    1057. George, Professor (Rtd) Delhi. Promoter, Strategic Economic Management Initiatives in Governance (SEMIG)
    1058. N. Rao, UK.
    1059. Ramesh Babu, Hyderabad
    1060. Jack Ryan, Delhi
    1061. Jacob Copeman, Edinburgh University
    1062. Jade Lyngdoh, National Law University Jodhpur.
    1063. Jafar Sadiq E, Assistant professor, IUST Kashmir.
    1064. Jaffar Mohiuddin, Jm
    1065. Jagdeep Chhokar, Former Professor and Dean, IIM, Ahmedabad
    1066. Jagisha Arora, Delhi
    1067. Jahanvi Sodha, Ahmedabad
    1068. Jahnavi Sindhu, Advocate
    1069. Jairaj Singh, WPC Delhi
    1070. Jairus Banaji, India
    1071. James Crabtree, NUS
    1072. James Manor, University of London
    1073. James P J, Kerala
    1074. James Putzel, LSE
    1075. Jamil Ahmad, AMU Association Member
    1076. Jamila Koshy, Bengaluru
    1077. Jamsheed Rizwani, Democracy now Sete
    1078. Jan Breman, Professor, IIAS, Leiden
    1079. Jan Tauro, Mumbai
    1080. Janaki Abraham, Delhi University
    1081. Janaki Nair, Historian
    1082. Janet Rubinoff, York University, Toronto
    1083. Janki Andharia, Professor, TISS, Mumbai
    1084. Jannat Farooqui, India
    1085. Jashodhara Dasgupta, Independent Researcher
    1086. Jasjit Singh, Mumbai
    1087. Jasmine Kalha, Researchers
    1088. Jasmine Singh, Singapore
    1089. Jasmohan Singh, New Delhi.
    1090. Jaswant Krishnayya, Professor (Rtd)&Director, Systems Research Institute, Pune
    1091. Javed Malick, Delhi University
    1092. Javed Waris, West Bengal
    1093. Jawed Naqvi, Freelance Journalist
    1094. Jay Desai, University of Southern California
    1095. Jaya Menon, SNU, Uttar Pradesh
    1096. Jaya Shah, Uttrakhand
    1097. Jaya Sharma, Writer and activist, New Delhi
    1098. Jayan Kovoor, Chhattisgarh
    1099. Jayant Joshi, Pune 411030
    1100. Jayant Lele, Professor Emeritus, Queen’s University, Canada
    1101. Jayaprashanth Mohanram, Pune
    1102. Jayashree Doley, University of Delhi, Delhi
    1103. Jayati Ghosh, Jawaharlal Nehru University, New Delhi
    1104. Jayati Lal, Wake Forest University, North Carolina, USA
    1105. Jaydeep Singh, lawyer, Bilaspur
    1106. Jayita Sen, Gurgaon
    1107. Jayoo Patwardhan, independent
    1108. Jeevan Sharma, University of Edinburgh
    1109. Jeffrey Ingber, Sweet Briar, VA 24595 USA
    1110. Jeffrey Wasserstrom, University of California, Irvine
    1111. Jehangir Chinoy, Pune
    1112. Jen I, Student, Mumbai
    1113. Jennifer Fernandes, Concerned Citizen of Mumbai
    1114. Jenny Loh, London
    1115. Jerin Sebastian, Teacher,Kerala
    1116. Jeroo Mulla, Mumbai
    1117. Jesse Knutson, University of Hawaii, Manoa, USA
    1118. JH Mehta, Reader, Bangalore
    1119. Jhelum Roy, Feminists in Resistance, Kolkata
    1120. Jinee Lokaneeta, Professor, Drew University, New Jersey
    1121. Jishan Ahmad, Fatehpur
    1122. Joby James, Bangalore
    1123. Joby Joseph, University of Hyderabad
    1124. Joe Athialy, Centre for Financial Accountability, Delhi
    1125. Joe Victor, Social work, Siliguri
    1126. Joeman Thomas, Mumbai
    1127. Johanna Lessinger, retired professor, John Jay College CUNY, New York, NY
    1128. John Cruz, Goa
    1129. John Dayal, New Delhi
    1130. John DSouza, Bombay
    1131. John KURIEN, Azim Premji University, Bengaluru
    1132. John Sebastian Lal, Bangalore
    1133. Jon Wolf, Mumbai
    1134. Jonathan Parry, Professor, LSE
    1135. Jonathan Pattenden, Univ of East Anglia
    1136. Jose Benoy, An Indian !
    1137. Jose Changa, Education Gujarat
    1138. Joseph Kurian, Kerala
    1139. Joseph M.T., Assistant Professor Department of Sociology University of Mumbai
    1140. Joseph Mathai, Delhi
    1141. Joseph Roberts, Hyderabad
    1142. Joseph Xavier, Indian Social Institute Bangalore
    1143. Josy Joseph, S B College, Changanassery, Kerala
    1144. Josy Joseph, Confluence Media
    1145. Joy KJ, Shramik Mukti Dal (Democratic), Pune
    1146. Joya Chatterji FBA, Trinity College, Cambridge, Professor
    1147. Joyal Abraham, Student, Wayanad ,Kerala
    1148. Juan Ponce Vázquez, University of Alabama
    1149. Jude Howell, LSE
    1150. Judith Heyer, Emeritus Fellow, Somerville College, Oxford University
    1151. Jules NAUDET, CNRS Research fellow, Paris
    1152. Julia Eckert, Professor, University of Bern, Switzerland
    1153. Julie Rose, Lawyer, Pune
    1154. Julio Ribeiro (IPS Rtd)
    1155. Justine Thomachan, Pondicherry
    1156. Jyoti Dar, Delhi
    1157. Jyoti Motihar, Delhi
    1158. Jyoti Nair, Administrator, KM Music Conservatory, Chennai
    1159. Jyoti Puri, Professor of Sociology, Boston
    1160. Jyotirmaya Sharma, Senior Fellow, Lichtenberg-Kolleg, Goettingen, Germany.
    1161. Jyotirmaya Sharma, The Gottingen Institute for Advanced Study, Germany
    1162. Jyotirmoy Tulukdar, Freelance Journalist
    1163. Jyotsna Sharma, Australia
    1164. K Gupta, King’s College London
    1165. K John Koshy, Chennai
    1166. K Liangousiam, Aizawl
    1167. K Mohanchandran, Kuthuparamba.
    1168. Chandru, Former Judge, Madras High Court
    1169. KP Fabian (IFS Rtd)
    1170. Satyanarayana, Professor, EFL University, Hyderabad
    1171. M. Shrimali, Retired Professor, Delhi University
    1172. Kabeer Arya, Student and delhi
    1173. Kabeer Katlat, Dubai
    1174. Kabi S, Mumbai
    1175. Kabir Singh, The Shop, Delhi
    1176. Kai Friese, Journalist, New Delhi
    1177. Kajoli Banerjee Krishnan,
    1178. Kajri Jain, University of Toronto
    1179. Kali Chittibabu, JNU
    1180. Kalidas SWAMINATHAN, Goa
    1181. Kalim Ahmed, Journalism student from Assam
    1182. Kalle Sysikaski, Helsinki
    1183. Kalpana Brijnath, London
    1184. Kalpana Kannabiran, Council for Social Development, Hyderabad
    1185. Kalpana Sharma, Journalist, Mumbai, India
    1186. Kalpana Wilson, Birkbeck, University of London
    1187. Kalyan Ayyagari, Hyderabad
    1188. Kalyani Gandhi, Individual
    1189. Kalyani Jaishankar, Bangalore
    1190. Kalyani Menon, DePaul University, Chicago
    1191. Kalyani Raghunathan, Economist, India
    1192. Kamakshi Balasubramanian, Retired Educator and Russian language specialist
    1193. Kamal Kant Jaswal, Former Secretary to the Govt of India
    1194. Kamal Mitra Chenoy, Retired Prof. JNU
    1195. Kamal Mulla, Mumbai
    1196. Kamal Nayan Choubey, Dual Singh College, Delhi University
    1197. Kamala Malik, Delhi
    1198. Kamini Tankha, Concerned citizen, Delhi
    1199. Kanaka Sandhya, Social Activist, New Delhi
    1200. Kanakadurgarao Neelam, US
    1201. Kanchan Hans, None, Delhi
    1202. Kanhaiya Lal Sharma, Jaipur,Rajasthan
    1203. Kanika Datta, Senior editor
    1204. Kanika Kaul, Delhi
    1205. Kanika Rana, Educator. Haryana
    1206. Kanika Satyanand, Social worker, New Delhi
    1207. Kanika Sharma, Emory University, Atlanta
    1208. Kanishka Jayasuriya, Professor, Murdoch University, Western Australia
    1209. Kankana Trivedi, Ahwa, Gujarat
    1210. Kannan Iyer, Filmmaker, Mumbai
    1211. Kanta Murali, University of Toronto, Toronto, Canada
    1212. Kanwal Singh, Small Business Entrepreneur
    1213. Karan A, Bangalore
    1214. Karan Thapar, Kumarhatti, Himachal
    1215. Karan Thapar, President, infotainment Television
    1216. Kareem Sait, Annanagar
    1217. Karthik B, chennai
    1218. Karthik Datta Kolli, Vijayawada
    1219. Kartik Kaushik, Delhi
    1220. Kartik Nair, Assistant Professor, Temple University
    1221. Kartikeya Jain, Freelance, Delhi
    1222. Karuna Mantena, Professor, Columbia University
    1223. Karventha Magaaraj, Delhi University
    1224. Kasheenath Chatterjee, All India People Science Network
    1225. Kasturi Gandhi, Student, Mumbai
    1226. Kasturi Sen, Criminal Defense Lawyer, Philadelphia
    1227. Kate Ellis, Coordinating Editor, McGill Daily (Montreal, Canada)
    1228. Kate Fane, Toronto
    1229. Kate Sullivan de Estrada, Oxford
    1230. Kathleen McAfee, San Francisco State University, California, USA
    1231. Kathy Bernaerts, Belgium
    1232. Katyayani Prabhakar, Independent Filmmaker
    1233. Kaushal Chandel, The New School, New York
    1234. Kaushik Basu, Professor, Cornell University
    1235. Kaushik Bhaumik, School of Arts and Aesthetics, Jawaharlal Nehru University, Delhi, India
    1236. Kaushik Ramanathan, Goa
    1237. Kaustav Banerjee, Ambedkar University Delhi
    1238. Kaustubh Chakraborty,
    1239. Kavaseri Krishnaswamy, former journalist and journalism teacher
    1240. Kaveri Gill, SNU
    1241. Kavita Datta, Goa
    1242. Kavita Daiya, George Washington University
    1243. Kavita Krishnapallavi, ‘Anvesha’ Literary Forum and ‘Dooncinefiles’, Dehradun
    1244. Kavita Singh, Professor, JNU
    1245. Kavita Srivastava, People’s Union for Civil Liberties
    1246. Kavitha Pai, Bangalore
    1247. Kedar Kalambe, Architect
    1248. Kedar Mishra
    1249. Keith Breckenridge, University of the Witwatersrand
    1250. Ken Shadlen, LSE
    1251. Kenneth Bo Nielsen, University of Oslo, Norway
    1252. Kenneth Lean, Bangalore
    1253. Keshav Narera, Mumbai
    1254. Keshava Desiraju, IAS Rtd
    1255. Keshava Guha, Writer
    1256. Keval Arora, Delhi University
    1257. Keval Bharadia, University of London Birkbeck College Alumni
    1258. Keya Ganguly, Professor, University of Minnesota
    1259. Khadijah Kanji, Social Worker, Activist; Toronto, Ontario, Canada
    1260. Khalid Ahmed, Hyderabad
    1261. Khalid Ansari, AJA-CDCD
    1262. Khalid Nadeem, Albuquerque, NM, USA
    1263. Khalid Quraishi, Milton, On USA
    1264. Khalida Parveen, Hyderabad
    1265. Khan Hasan, USA
    1266. Kheya Sengupta, Delhi
    1267. Khurram Nadeem, Assistant Professor, University of Guelph, Ontario.
    1268. Khursheed Ahmed, Canada
    1269. Khushboo Srivastava, Visiting Professor, Mumbai
    1270. Khwaja Ansari, Hyderabad India
    1271. Kinnera Murthy, Retired, Hyderabad
    1272. Kiran Bhatty, CPR
    1273. Kiran Desai, writer
    1274. Kiran Kumbhar, Harvard University
    1275. Kiran Martis, India
    1276. Kiran Padmanabha, Bengaluru
    1277. Kiran Pandare, Pune
    1278. Kiran Rao, Mumbai
    1279. Kiran Sachdev, New Delhi
    1280. Kiran Segal, New Delhi
    1281. Kiran Singh, lucknow
    1282. Kiran Tandon, Delhi
    1283. Kiriakose V G, Savitri Nagar, New Delhi
    1284. Kirtana Thangavelu, University of Hyderabad
    1285. Kirti Ghaswalla, Vasant Kunj
    1286. Kirti Jain, NSD
    1287. Kirti Ratnam, Indian, india
    1288. Kirti Singh, New Delhi
    1289. Kiruba Harris, Chile South America
    1290. Kishalay Bhattacharjee, Professor, O P Jindal Global University
    1291. Kishore Mariwala, Individual. Mumbai.
    1292. Kochurani Abraham, Kerala
    1293. Kolawole Subair, Professor, Yusuf Maitama Sule (formerly Northwest) University, Kano, Nigeria
    1294. Komal Mohite, McGill University
    1295. Koninika Ray, National Federation of Indian Women, Delhi
    1296. Kosturi Ghosh, Bangalore
    1297. Koyal Sindhu, Delhi
    1298. KP Jayasankar, Filmmaker and Academic
    1299. KP Kannan, Professor, Centre for Development Studies
    1300. KP Sasi, Film-maker
    1301. Kripa Ananthpur, Chennai
    1302. Kripi Malviya, Citizen of India, Haryana
    1303. Krishna Kant, PUCL, Surat
    1304. Krishna Murali, London
    1305. Krishna Pillai, Chennai
    1306. Krishna Prasad, Mysore
    1307. Krishna Sengupta, Retired, Delhi University
    1308. Krishnakumar Thachilath, Pune
    1309. Krishnalal M, Kollam, Kerala
    1310. Krishnan PT, Architect. Chennai
    1311. Krishnaraj Chonat, Indian
    1312. Krishnaswamy Sankaran, Retired from Madurai Kamaraj University, Madurai
    1313. Krithika Srinivasan, University of Edinburgh
    1314. Kritvi Rana, Student of University of Amsterdam, Amsterdam
    1315. Kulbir Samra, UK
    1316. Kumar G, Chennai
    1317. Kumar Rana, Kolkata
    1318. Kumud Mishra, Mumbai
    1319. Kundan Kumar, JNU
    1320. Kundan L Tuteja, Retired from Kurukshtra University
    1321. Kurian Bose, Muvattupuzha
    1322. Kurush Jungalwala,
    1323. Kuruvilla Abraham, Chennai.
    1324. Kushanava Choudhury, Princeton, NJ
    1325. Labani Jangi, Kolkata
    1326. Laboni Bhattacharya, University of Southern California, Los Angeles
    1327. Lakshman Thapa, Delhi
    1328. Lakshmi Krishnamurty, Alarippu. Bangalore
    1329. Lakshmi Lingam, TISS, Mumbai
    1330. Lakshmi Prashanth, Bangalore
    1331. Lakshmi Sreenivasan, Mumbai
    1332. Lal Singh, Hyderabad
    1333. Lalit Vachani, University of Gottingen
    1334. Lalita Rajan, Anveshi Centre for Women’s Studies, Hyderabad
    1335. Lalita Ramdas, Bhaimala Gaon, Alibagh
    1336. lalitha alilu, Jana Chinthana Kendra, Bangalore
    1337. Lalitha Ganguly, Pune
    1338. Laltu Harjinder, Scientist and Poet
    1339. Laly Randolf, Bengaluru
    1340. Larissa Pitter, Independent social worker
    1341. Latha Reddy, Retired IFS officer
    1342. Latika Gupta, New Delhi
    1343. Laura Ashwood, journalist, Toronto
    1344. Lavanya Ray, Indian citizen
    1345. Lawrence Liang, AUD
    1346. Laxmi Murthy, Journalist, Bangalore
    1347. Laxminarayana K, University of Hyderabad, India
    1348. Laxminarayana VN, mysuru
    1349. Leela Jacinto, France 24, Paris
    1350. Leena Parikh, Ahmedabad
    1351. Leila Kabir, Independent
    1352. Lekha Bhagat, New Delhi
    1353. Leo Saldanha, Environment Support Group, Bangalore
    1354. Liaquat Afridi, Canada
    1355. Lijo Jose, SB college, changanassery, Kerala
    1356. Linda Chhakchhuak, Meghalaya
    1357. Linda Hess, Senior Lecturer Emerita, Stanford University
    1358. Lingam Nageswara rao, Hyderabad
    1359. Linken Fernandes, Journalist, Chandor, Goa
    1360. Lolita Sengupta, Kolkata
    1361. Lopamudra Bala, Newbarrackpur
    1362. Louise Tillin, Kings College, London
    1363. Lubna shah, Sardhana
    1364. Lucinda Ramberg, Cornell University
    1365. Lyn Mayes, No affiliation; Auckland New Zealand
    1366. Madan B. Lokur, Former Judge, Supreme Court of India
    1367. M Khan, USA
    1368. M M, Delhi
    1369. M P Dhaneesh, Greenwood High International School Bangalore
    1370. Madhav Prasad, EFLU, Hyderabad
    1371. MA Kalam, Dean & Professor Krea University
    1372. Madan Mishra, Mumbai
    1373. Madhav Badami, McGill University, Montreal
    1374. Madhav Bhanoo, Pune
    1375. Madhav Manoharan, Delhi
    1376. Madhav Sattanathan, Chennai
    1377. Madhava Prasad M, The English and F
    1378. Madhavi Daruwalls, 110011
    1379. Madhavi Kale, Bryn Mawr
    1380. Madhavi Menon, Ashoka University, Haryana
    1381. Madhivanan Durai, Dallas
    1382. Madhu B, Independent, Los Angeles
    1383. Madhu Bhaduri, IFS Rtd, New Delhi
    1384. Madhu M, Chennai
    1385. Madhu Mehra, Lawyer, New Delhi
    1386. Madhu Ramnath, Writer
    1387. Madhu Sahni, JNU
    1388. Madhu Sarin, Psychoanalyst Delhi
    1389. Madhukar Dube, Navi Mumbai
    1390. Madhumita Dutta, USA
    1391. Madhur Singh, New Delhi
    1392. Madhuresh Kumar, NAPM
    1393. Madhuri Krishnaswami, Jagrit Adivasi Dalit Sangathan
    1394. Maharukh Adenwalla, Lawyer, Mumbai
    1395. Mahe Nadeem, Dallas-Fort
    1396. Mahendra Mishra, Janchowk
    1397. Mahendra Nadkarni, University of Mumbai
    1398. Mahendra Tyagi, Meerut
    1399. Maher Siddiqui, Canada
    1400. Mahesh Mehta, Self Employed at Mumbai
    1401. Mahesh Rangarajan, Professor, Ashoka University
    1402. Mahmood saberi, Bangalore
    1403. Mahnoor Yar Khan, Hyderabad
    1404. Maimoona Mollah, Women’s rights activist, Delhi
    1405. Maitrayee Chaudhuri, Professor. Sociology . J. N. University. New Delhi.
    1406. Maitreesh Ghatak, LSE
    1407. Majed P, Doha
    1408. Majid Siddiqi, Rtd Professor, JNU
    1409. Mala Nair, Mumbai
    1410. Malaika Chawla, Student, James Cook University, Australia
    1411. Malavika Kasturi, Associate Professor , Department of History, University of Toronto
    1412. Malcolm Blincow, Associate Professor Emeritus, Anthropology, York University, Toronto, CANADA
    1413. Malini Ghose, Researcher, New Delhi
    1414. Malini Saran, Citizen of Delhi
    1415. Malini Subramaniam, Independent Journalist
    1416. Mallarika Sinha Roy, JNU, Delhi
    1417. Mallige Sirimane, Karnataka Janashakthi
    1418. Mallika Kaur, Law Lecturer, UC Berkeley
    1419. Mallika Khanna, Master’s candidate, Indiana University
    1420. Mallika Kumar, Delhi
    1421. Mallika Sarabhai, Director Darpana
    1422. Malti Nehru M, B124 Sarvodaya Enclave 110017
    1423. Mamata Dash, Human Rights Activist, Delhi
    1424. Mamatha Karollil, Academic, New Delhi
    1425. Mamta Pillai, Media UAE
    1426. Manasi Pingle, Bangalore
    1427. Mandakini Dubey, Ashoka University, Haryana
    1428. Mandakini M, Hyderabad
    1429. Maneesh Agarwal, Chennai
    1430. Maneesh Dhooper, Gurgaon
    1431. Maneshwar Chahal, Retired IAS officer, living in Chandigarh
    1432. Mani Menon, Chennai
    1433. Mani Shankar Aiyar, Former Minister, Government of India
    1434. Mani Nair, Namaste Debate, Canada
    1435. Manidipa Sen, JNU, New Delhi
    1436. Manik Mahna, Geetanjali Enclave
    1437. Maninder Kohli, New Delhi
    1438. Manish Kumar, New Delhi
    1439. MANISH KUMAR, JNU
    1440. Manish Madan, Stockton University
    1441. Manisha B, New Delhi
    1442. Manisha Gupte, Pune
    1443. Manisha Sethi, Jamia Millia Islamia
    1444. Manisha Sharma, Boston, MA
    1445. Manishi Jani, Ahmedabad, Gujarat
    1446. Manishita Dass, Faculty, Royal Holloway, University of London, U.K.
    1447. Manivannan Manivannan, Lawyer, chennai
    1448. Manjari Mehta, Anthropologist, Dehradun
    1449. Manjeet Kirbat, N Delhi
    1450. Manjima Chatterjee, Noida, Uttar Pradesh
    1451. Manju K, Ranchi
    1452. Manju Kapur, Writer
    1453. Manju Tuscano, Gujarat
    1454. Manjula Ramanujan, Delhi
    1455. Manjunath Krishnapur, IISc, Bangalore
    1456. MANJUSHA BHAGADE, Lawyer; Delhi
    1457. Manjusha K A, M. G. University, Kottayam
    1458. Manmohan Kahlon, To #Constitution of India
    1459. Manmohan Kapur, New Delhi
    1460. Manmohan Kaur, Mohali
    1461. Manmohan Singh, NCR
    1462. Manoj Joshi, Former Political Editor & Bureau Chief TOI, ORF
    1463. Manoj Kumar, Mumbai
    1464. Manoj Kumar, Tamilnadu
    1465. Manoj Verma, JNU, New Delhi
    1466. Manou Tamo, India
    1467. Mansee Bal Bhargava, Ahmedabad
    1468. Mansi Sharma, Delhi
    1469. Mantrala Srinivas, Hyderabad
    1470. Manu Bhagavan, Hunter College and the Graduate Center-CUNY
    1471. manu bhasi, No political affiliations. Thiruvananthapuram
    1472. Manu Goswami, NYU
    1473. Manu Mathai, Azim Premji University, Bangalore
    1474. Manuel Barcia, Professor of Global History. University of Leeds, U.K.
    1475. Mareeswaran J, Chrnnai
    1476. Margrit Pernau, Max Planck Institute for Human Development, Berlin
    1477. Marie Ahmed, Canada
    1478. Marie Boti, Women of Diverse Origins, Montreal Canada
    1479. Marie Dias Arora, Artist, New Delhi
    1480. Marilyn Hacker, American University of Beirut
    1481. Marina Dolui, Kolkata
    1482. Mario Rodrigues, Journalist, Mumbai
    1483. Marisha thakur, media / Bangalore
    1484. Mark Sheerin, concerned onlooker
    1485. Marudhan Gangadharn, Tamil Writer / Chennai, Tamil Nadu
    1486. Mary John, Professor, Delhi
    1487. Mary Kaldor, LSE
    1488. Mary Muckaden, Indian and Mumbai
    1489. Masood Khan, MPDRF , Bhopal
    1490. Masood Rab, CAPI
    1491. Matheen Mohammad, Telangana
    1492. Matheen Mohammad, Telangana
    1493. Maulishree Pandey, University of Michigan
    1494. Mausumi Das, Associate professor, Delhi school of economics
    1495. Max Martin University of Sussex UK
    1496. Maya Goburdhan
    1497. Maya John, Teaches in Delhi University. Women’s right activist
    1498. Maya John, Women’s right activist
    1499. Maya Rao, Theatre Artist
    1500. Mayank Agrawal, April 13, 2020 at Ranchi, India
    1501. MAYANK KUMAR, DELHI UNIVERSITY, DELHI
    1502. Mayank Sharma, Student, Guwahati
    1503. Mazher Hussain, Hyde
    1504. MD Ahmad, IQ Communications Mumbai
    1505. Md Imran, New Delhi
    1506. Md Jawed, Jamia nagar
    1507. MD MAHFOOZ ALAM, Journalism student & Delhi
    1508. Md Qamruzzama, Patna College
    1509. Md Shahrukh, Delhi
    1510. Md sufi Kamal, West Bengal
    1511. Meah Alf, Hyderabad
    1512. Meah Mostafiz, Heidelberg University, Heidelberg
    1513. Medha, German Institute of Global and Area Studies, Hamburg
    1514. Medha Lele, Pune
    1515. Medha Patkar, National Alliance of People’s Movements
    1516. Meena Dhanda, Professor, University of Wolverhampton
    1517. Meena G, Mumbai
    1518. Meena Gupts, Retired civil servant
    1519. Meena Joshi, Indepent individual. Mysore
    1520. Meena Screwvalla, Pune
    1521. Meena V, Assistant professor, Department of Mathematics,Tirumangalam, Madurai
    1522. Meenakshi Sharma, Student, Haryana
    1523. Meenu Deswal, University of Michigan
    1524. Meenu Iyer, Independent
    1525. Meer Ali, Hyderabad
    1526. Meera Menon Parmar, London
    1527. Meera Sanghamitra, National Alliance of People’s Movements (NAPM)
    1528. megha malhotra, Calcutta
    1529. Megha S, Vadodara
    1530. Meghaa Ballakrishnen, N/a
    1531. Meghana Amal, Mumbai
    1532. Meghana Rao, Azim Premji University
    1533. Meghna Chakravorty, Student- Delhi
    1534. Meghna Singh, None, Nashik
    1535. meha khanduri, Delhi
    1536. Mehaboob Pasha, Advocate Hyderabad
    1537. Mehak Sawhney, PhD Student, McGill University
    1538. Mekhala Deva, journalist
    1539. Mekhola Gomes, University of Toronto Mississauga
    1540. Melik Kaylan, Journalist Forbes New York, US
    1541. Menon n, Kerala
    1542. Mewa Bedi, winnipeg
    1543. Mic Raj, Gujarat
    1544. Michelle xavier, goa
    1545. Milind Champanerkar, Writer Editor Journo Pune
    1546. Milkha Singh, Canada
    1547. Mimi Chakrabarti, Tamil Nadu
    1548. Minakshi Menon, Max Planck Institute for the History of Science
    1549. Minakshi Rajdev, PhD Scholar JNU
    1550. Mini Chatterjee, New Delhi
    1551. Mini Mathew, Advocate Mumbai
    1552. Mini PHILIPS, Australia
    1553. Minoo Gundevia, CERAS, Montreal
    1554. Mira Kamdar, Writer
    1555. Misbah Irfan, Toronto GTA
    1556. Mitali Saran, Freelance writer, Delhi
    1557. Mitra Mukherjee-Parikh, Academic Mumbai
    1558. Mitra Sharafi, University of Wisconsin (Madison, WI, USA)
    1559. Mitsu soin, Affiliated to my conscience and located at Delhi
    1560. MKA Chaudhary, UNSW Sydney Australia
    1561. Mobeen Bhat, Gurgaon
    1562. Mohamed Adam, Alalag press center khartoum
    1563. Mohammad Ahmad, Canada
    1564. Mohammad Ahmad, Toronto
    1565. Mohammad Arif, Kurnool
    1566. Mohammad Equebal, Arkansas, usa
    1567. Mohammad Khan, Mumbai
    1568. Mohammad Ridwan, Student
    1569. Mohammad Sarwar, Activist, USA
    1570. Mohammed Abdul Raheem, Hyderabad
    1571. Mohammed Ahmed, Hyderabad
    1572. Mohammed Hussain, Toronto, Canada
    1573. Mohammed Khan, Toronto
    1574. Mohammed S, Maryland usa
    1575. mohammed Saleem, hyderabad
    1576. Mohammed Shameem, PhD at Jawaharlal Nehru University
    1577. Mohan Bangera, Chennai
    1578. Mohan Bhuyan, No affiliation, Noida
    1579. Mohan Kumar, Coimbatore.
    1580. Mohan Raj, formerly of Osmania University, Hyderabad
    1581. Mohan Ranganathan, Chennai
    1582. Mohan Sandhu, Punjab
    1583. Mohd Abuzar, Anhad & New Delhi
    1584. Mohd Noman, New Delhi
    1585. Mohd salman Khan, HYDERABAD
    1586. Mohinder Singh, School of International Studies, Jawaharlal Nehru University, New Delhi
    1587. Mohit Bajoria, Delhi
    1588. Mohit Beotra, New Delhi
    1589. Mohit Rk, Delhi (Shahdara)
    1590. mohit shenoy, citizen of India
    1591. Mohita Solanki, Australia
    1592. Mohua Bhattacharya, Cambridge
    1593. Mollica Dastider, Jawaharlal Nehru University
    1594. Molly Greene, Princeton University Princeton, NJ USA
    1595. Momina Meraj, Delhi
    1596. Monica Hingorani, Leicester, UK
    1597. Monica Sagar, Gurgaon
    1598. Monika Bhagat-Kennedy, University of Mississippi
    1599. Monika Mehta, Binghamton University
    1600. Monisha Babbar, New Delhi
    1601. Monisha Gill, Goa
    1602. Monu Zain, New Delhi
    1603. Moonis Mustafa, USA
    1604. Morthala Vimala, Writer
    1605. motiniva nayak, central university of rajasthan
    1606. Moumita Chakraborty, Student, Houston
    1607. Moushumi Basu, JNU
    1608. Mozaharul H Khan, Gurgaon, India
    1609. Mridu Rai, Historian
    1610. Mridula Mukherjee, Retired Professor, Centre for Historical Studies, JNU, New Delhi
    1611. Mrinalini Sinha, University of Michigan
    1612. Mritiunjoy Mohanty, IIM Calcutta, Kolkata
    1613. Vinnie Gill, IAS Rtd
    1614. Mudasir Gul, Srinagar
    1615. Mugdha Khatkhede, Amravati, Student
    1616. Muhammad Aleem, Montreal
    1617. Muhammad Khan, Canada
    1618. Muhammad Shameel, Kerala
    1619. Muhammedali T, Kozhikode
    1620. muhamnad khan, independent writer,USA
    1621. Mukesh Kulriya, UCLA, USA
    1622. Mukesh Yadav, Ex Outlook Digital, News18 Amar Ujala. Delhi. Saharanpur,UP
    1623. Mukhtar X, Bengaluru
    1624. Mukhtiar Singh, DESSA Winnipeg
    1625. Mukul Ahmad
    1626. Mukul Kesavan, Department of History, Jamia Millia Islamia, Delhi.
    1627. Mukul Mangalik, Ramjas College, Delhi University
    1628. Mukul Manglik, xx
    1629. Mukulika Banerjee, LSE
    1630. Muneer M, JNU, New Delhi
    1631. Muqbil Ahmar, Mumbai
    1632. Murali Srinivasan, IIT Bombay
    1633. Murfad TP, Phd scholar, JNU
    1634. Murli Natrajan, WPU, USA
    1635. Murthy K, RTE Forum-Tamilnadu
    1636. Musarrat Siddiqui, Belongs to UP
    1637. Mushtaq Bhat, Indian citizen , Toronto
    1638. Mythili Rajagopal, USA
    1639. N A, India
    1640. N Mani, Tamil Nadu Science Forum
    1641. N SAI BALAJI, All India Students’ Association, Delhi
    1642. Chatterjee, New Delhi
    1643. Tejuja, New Delhi…
    1644. Naazish Shah, Mumbai
    1645. Nabil Mistry, UAE
    1646. Nachiket Patwardhan, 404 Vanali lane 14 Bhandarkar road Pune 411 004
    1647. Nachiket Udupa, Mazdoor Kisan Shakti Sangathan, Delhi
    1648. Nadeem Patni, Mumbai
    1649. Nadja-Christina Schneider, Prof. Dr. ,Humboldt-Universität zu Berlin
    1650. Nagaraj K, Adj Prof. ACJ
    1651. Nagmani Rao, Citizen of democracy
    1652. nagumothu venugopal rao, peple’s science movement A.P. Guntur…
    1653. Naheed Carrimjee, Lawyer Mumbai
    1654. Naila Kabeer, LSE
    1655. Najeeb Khan, India
    1656. Nalini Pandalangat, Toronto, Canada
    1657. Nalini Rajan, Dean, Asian College of Journalism – Chennai
    1658. Namita Sibal,
    1659. Namita Unnikrishnan, Citizen
    1660. Namrata Sen, Gurugram
    1661. Nancy Yadav, JNU
    1662. Nandan Maluste, Mumbai
    1663. Nandagopal R. Menon, University of Massachusetts-Amherst
    1664. nandini chakravarty, Kolkata
    1665. Nandini Dutta, Delhi University
    1666. Nandini Mukherjee, Jadavpur University
    1667. Nandini Rao, New Delhi
    1668. Nandini Singh, New Delhi
    1669. Nandita Das, Actor, Mumbai
    1670. Nandita DasGupta, IIT Madras, Chennai, Tamilnadu
    1671. Nandita Narain, Delhi University, Delhi
    1672. Narayan Moorthy, Architect
    1673. Narayani Gupta, Retired university professor of history
    1674. Narendra Dengle, Architect, Educator, Pune
    1675. Narendra Gupta, Chittorgarh
    1676. Narendra K., Australia
    1677. Narendra Sisodia, IAS Rtd Constitutional Conduct Group, Jaipur
    1678. Narendra Subramanian, McGill University
    1679. Naresh dadhich, IUCAA, Pune
    1680. Naresh Khanna, Editor, based in New Delhi
    1681. Naresh Prerna, Theatre Activist, Haryana
    1682. Narinder Jeet, Association For Democratic Rights Punjab
    1683. Nasir Ahmed, US
    1684. Nasir Tyabji, Formerly with Jamia Millia Islamia
    1685. Nasreen Contractor, Mrinal Gore Interactive Centre for Peace and Social Justice in South Asia, Mumbai
    1686. Natalie Fenton, Professor, Goldsmiths, University of London
    1687. Natarajan Sivaguru, TNUEF..CPI(M) TANJORE
    1688. Natarajan Venkataramani, Pensioner …. Chennai
    1689. Natasha Badhwar, Film-maker
    1690. Natasha Ginwala, Writer
    1691. Nathaniel Roberts, University of Gottingen
    1692. Naushad Hussain, Guwahati
    1693. Nausheen Ahmed, GIPA
    1694. Navaneetha Mokkil Maruthur, Jawaharlal Nehru University, Delhi
    1695. Navdeep Mathur, IIM Ahmedabad
    1696. Naveen Chander, New Socialist initiative
    1697. Naveen Kaushik, Delhi
    1698. Naveen Kishore, Seagull Books, Kolkata
    1699. Naveen Kumar, Purnam, Tamil Nadu
    1700. Navnita Behera, Prof, University of Delhi
    1701. Navrekha Sharma, Retired from Government (IFS)
    1702. Navsharan Singh, Independent Researcher, Delhi
    1703. Navyug Gill, William Paterson University
    1704. Nawab Khan, President, Bhopal Gas Peedit Mahila Purush Sangharsh Morcha
    1705. Nawasha Mishra, Right to Food Campaign, Delhi
    1706. Nayan Shah, University of Southern California, Los Angeles CA
    1707. Nayana Chekka, Hyderabad
    1708. Nayanika Mathur, University of Oxford
    1709. Nayanjot Lahiri, Professor, Ashoka University
    1710. Nayantara Nair, Student , Chennai
    1711. Nayantara Roy, Lawyer, Delhi
    1712. Nayantara Sahgal, Writer
    1713. Nazimuddin Siddique, Independent researcher, Assam
    1714. Neelabh Dubey, Lawyer, Chhattisgarh
    1715. Neelakantan S, Retd, Director, MIDS, Chennai
    1716. Neelam Man Singh, Chandigarh
    1717. Neelima Muckati, USA
    1718. Neera Chandoke, Delhi University
    1719. Neeraj Malik, Delhi University
    1720. Neeta Chalke, Affiliated to civil society groupsPune
    1721. Neeti Nair, University of Virginia
    1722. Neetu Sharma, New Delhi
    1723. Neil Fraser
    1724. Neha G, Feminist Activist, Asia Pacific
    1725. Neha Jacob, Nainital
    1726. Netal Munoth, Indian Citizen, London
    1727. Nicolas Jaoul, EHESS, France
    1728. Nicco Bhabu, New Delhi
    1729. Nicholas Dawes, New York City – formerly Chief Editorial and Content Officer, Hindustan Times
    1730. nicholas hoffland, delhi
    1731. Nidhi Agarwal, Delhi
    1732. Nidhi Gupta, New Friends Colony New Delhi
    1733. Nikhil Anand, University of Pennsylvania
    1734. Nikhil Aziz, New York
    1735. Nikhil Dey, Mazdoor Kisan Shakti Sangathan (MKSS) Rajasthan
    1736. Nikhil Inamdar, Mumbai
    1737. Nikhil Menon, University of Notre Dame, USA
    1738. Nikhil Nayak, Student, Bangalore
    1739. Nikhil Parmar, London
    1740. Nikhil Thampi, Kerala, India
    1741. Nikhit Agrawal, University of California, Los Angeles, USA
    1742. Nikita Dhanania, Secunderabad
    1743. Nikita Sud, Oxford University
    1744. Niladri Mukherjee, New delhi
    1745. Nilanjana S Roy, Writer, New Delhi
    1746. Nilay Kundu, Kanpur
    1747. Nilesh Datta, NA
    1748. Nilika Mehrotra, JNU, NEW DELHI
    1749. Nilima Chawla, Delhi
    1750. Nilima Dutta, Advocate, Mumbai
    1751. Nilima Sheikh, New Delhi
    1752. Nilita Vachani, Asian College of Journalism
    1753. Niloufer Bhagwat, Vice President Indian Association of Lawyers , Mumbai
    1754. Nimi Ravindran, Theatre director, Bangalore
    1755. Nina Verma, Mumbai
    1756. NinanEapen Chundamannil, Mumbai
    1757. Niraja Jayal, JNU
    1758. Niranjani Iyer, Delhi
    1759. Nirja Bhatnagar, Mumbai
    1760. Nirjhari Sinha, Altnews, Ahmedabad
    1761. Nirmala Rajasingam, South Asia Solidarity Group, UK
    1762. Nirpendra Kumar, Teacher, Delhi
    1763. Nirupa Bhangar, Educator
    1764. Nirupama K, Bangalore
    1765. Nirupama Ravi, Umass, Amherst
    1766. Nisha Biswas, WSS Kolkata
    1767. Nishat Amber, Ranchi, Jharkhand
    1768. Nishat Khan, London
    1769. Nishu Raman, Independent researcher
    1770. Nisreen S., World citizen
    1771. Nissim Kanekar, National Centre for Radio Astrophysics, Pune
    1772. Nita Lal, Delhi
    1773. Nitasha Kaul, University of Westminster, London
    1774. Nitesh Singh, Bihar
    1775. Nithin Kumar, None
    1776. Nitin Koshi, Freelancer, New Delhi
    1777. Nitin Rai, Academic, Bangalore
    1778. Nitin Sethi, Journalist
    1779. Nitin Sinha, Leibniz ZMO
    1780. Nivedita Ghosh, Jesus and Mary Colle
    1781. Nivedita Menon, Jawaharlal Nehru University, Delhi
    1782. Niveditha Menon, Bangalore
    1783. Nivrutti Nandurkar, Pune
    1784. Noah Merali, Canada
    1785. Noori Nisar, New Jersey
    1786. Nora Melnikova, University of California, Berkeley
    1787. Noushad Ansari, Maharashtra
    1788. Nousheen Khan, Coordinator, Children Against Dow Carbide
    1789. NP Chekutty, Senior Journalist
    1790. Nripjit Chawla, New Delhi
    1791. Nupur Chowdhury, New Delhi
    1792. Odile Hélier, anthropologue Paris
    1793. Oishik Sircar, Jindal Global Law School, Sonipat
    1794. Om Damani, IIT Bombay
    1795. Om Prakash, Delhi University
    1796. Om Prakash, Assistant Professor Dept. Political Science, Zakir Hussain Delhi College
    1797. Omar Shah, Training and development-Gurgaon
    1798. Omprakash Miglani, General Secretary,Federation of Coal INDUSTRY Retired Employees
    1799. Orijit Sen, Independent Artist, Goa, India
    1800. Osama Manzar, Digital Empowerment Foundation, Delhi
    1801. Oscar Ugarteche, Instituto de Investigaciones Económicas UNAM
    1802. Osman Sarioglu, UK
    1803. Osman Sarioglu, UK
    1804. P Shubhank, New Delhi
    1805. Paankaj Sethi, gurgaon
    1806. Padma Balasubramanian, Boston
    1807. Padma Velaskar, Professor (retd) ,Tiss, Mumbai
    1808. Padmaja Shaw, Rtd Professor Osmania University
    1809. Padmasri Dayana, Hyderabad
    1810. Padmini Ramesh, Student at Tata Institute of Social Sciences, Mumbai
    1811. Padmini Ranganathan, Mysore
    1812. Pallab Sengupta, Kolkata
    1813. Pallavi Arora, New Delhi
    1814. Pallavi Gupta, Independent Consultant-Public health, gender and nutrition
    1815. Pallavi Krishnappa, Researcher, Bengaluru
    1816. Pallavi Rao, Indiana University Bloomington, USA
    1817. Pamela Philipose, Journalist
    1818. Panna Iyer, USA
    1819. Papori Bora, Jawaharlal Nehru University
    1820. Parag Barbuddhe, Amravati
    1821. Paramasivam PM, Assistant Professor of Economics, Coimbatore
    1822. Paran Amitava, Student. Researcher
    1823. Paranjoy Guha Thakurta, Journalist, Gurugram
    1824. Parbeen Kaur, New Delhi
    1825. Paris Yeros, Professor, UFABC, São Paulo
    1826. Parnika S, Gurgaon
    1827. Paroma Sanyal, Indian Institute of Technology Delhi
    1828. Parsa Venkateshwar Rao Jr, Freelance Journalist, New Delhi
    1829. Partha Chakrabartty, Independent Journalist, Philadelphia, PA
    1830. Partha Chatterjee, Social scientist and Historian, Kolkata
    1831. Partha S. Ghosh, Institute of Social Sciences, New Delhi
    1832. Partho Datta, Jawaharlal Nehru University, Delhi
    1833. Patricia Jeffery, Professor Emerita of Sociology, Edinburgh University
    1834. Patricia Uberoi, Independent researcher, Delhi
    1835. Patrick Ojo, City University of London
    1836. Paul Flather, Secretary General of the Europaeum
    1837. Paul Vattathara, Religious, Mumbai
    1838. Paula Chakravartty, NYU
    1839. Paula Newberg, University of Texas
    1840. Pavan Vaidyanathan, USA
    1841. Pavel Tomar, Jawaharlal Nehru University, New Delhi
    1842. Pavitra Ramanujam, Chennai
    1843. Pedro VIANNA, poète, homme de théâtre, Paris France
    1844. Peehu Pardeshi, Tata Institute of Social Sciences, Mumbai
    1845. Peggy Briggs, Vermont, USA
    1846. Peggy Mohan, Delhi
    1847. Penny Vera-Sanso, University of London
    1848. Penny Wright, UK
    1849. Pervin Jehangir, Mumbai
    1850. Pervin Verma, xx
    1851. Peter Harris, Colorado State University
    1852. Peter Lambertz, Humboldt-Universität zu Berlin
    1853. Philip J, Bangalore
    1854. Philip Tolath, Singapore
    1855. Phoebe Pannier, Canada
    1856. Pierre Beaudet, Ottawa
    1857. Pinkish Shah, Mumbai
    1858. Pintoo Ganguly, Bangalore
    1859. Poile Sengupta, Bengaluru
    1860. Ponniah Rajamanickam, Science activist and Madurai
    1861. Pooja Chaudhuri, Alt News, Ahmedabad
    1862. Pooja Rani, Delhi university
    1863. Pooja Singh, Student, Delhi
    1864. Poonam Kaushik, Pragatisheel Mahila Sangathan Delhi
    1865. Poonam Prasad, Mumbai
    1866. Poonam Sahi, Delhi, my country
    1867. Poornima Chikarmane, Pune
    1868. Poorva Karkare, Economist, the Netherlands
    1869. prabha jagannathan, freelance Uttar Pradesh
    1870. prabha pandey, AAP MUMBAI
    1871. Prabhakar Kumar, Independent, Patna
    1872. prabhat kumar roy, Freelance Journalist
    1873. Prabhat Patnaik, Professor (Rtd), JNU
    1874. Prabhir Vishnu Poruthiyil, Mumbai
    1875. PrabhSharan Singh, New Delhi
    1876. Prabhu Mohapatra, Professor, Delhi University
    1877. Prabir Purkayastha,
    1878. Prabodh Bhambal, Delhi
    1879. Prachi Deshpande, Kolkata.
    1880. Pradeep Esteves, Context India
    1881. Pradeep Narayanan, Delhi
    1882. Pradeep Sachdevay, Supporter
    1883. Pradeep Shinde, JNU, New Delhi
    1884. Pradeep Taneja, The University of Melbourne, Australia
    1885. Pradeep Viswanathan, Pradeep, Chennai.
    1886. Pradip Kumar Bose, Retd. Professor, Kolkata
    1887. pradip kumar datta, JNU, Delhi
    1888. Pradip Kumar Mahapatra, Associate Professor, Jadavpur University, Kolkata
    1889. Pradip Ninan Thomas, University of Queensland
    1890. Pradipta Bandyopadhyay, JNU
    1891. Pragati Mohapatra, Delhi University, Delhi, India
    1892. Pragyan Rout, Chennai
    1893. Prajval Shastri, Astrophysicist, Bangalore
    1894. Prajval U, Karnataka
    1895. Prakash Burte, Pune
    1896. Prakash GP, Davanagere
    1897. Prakash K, Chrnnai
    1898. Prakash Kashwan, University of Connecticut, Storrs
    1899. Prakash Upadhyaya Upadhyaya, UGC senior research scientist.
    1900. Prakash Upadhyaya Upadhyaya, UGC senior research scientist.
    1901. Pramod Gouri, AIPSN. Haryana.
    1902. Pramod Balakrishnan, Architect and interior designers, Edifice Chennai
    1903. Pranab Bardhan, University of California, Berkeley
    1904. Pranav Jani, Associate Professor, Ohio State University.
    1905. Pranav Trigunayat, Jawaharlal Nehru University
    1906. Pranjal Pandey, NewsClick, Delhi
    1907. Prarthna Singh, Mumbai
    1908. Prasad Tadepalli, Oregon State University
    1909. Prasanna Guru Prasad, Bangalore
    1910. Prasannan Parthasarathi Parthasarathi, Chestnut Hill, Massachusetts
    1911. Prasenjit Bose, Economist and Activist, Kolkata
    1912. Prasenjit Chanda, New delhi. India.
    1913. Prasenjit Duara, Professor, Duke University, President, Association for Asian Studies 2019-2020
    1914. Prasenjit Dutta, New Delhi
    1915. Prashant Bhushan, Advocate, Supreme Court
    1916. Prashant Dubey, Retd Professor at Raipur, Chhattisgarh
    1917. Prashant Dubey, New delhi
    1918. Prashant Keshavmurthy, Professor, Canada
    1919. Prashant Kothadiya, NGO sector in Pune, Maharashtra
    1920. Prashant Sareen, Media. Delhi
    1921. Prashant Sharma, Student & HP(Pragpur)
    1922. Prashant Singh, Dubai, UAE
    1923. Prashanti Ganesh, Chennai
    1924. Praskanva Sinharay, Ph D Candidate, CSSSC, Kolkata
    1925. Prasuna Reddy, Telangana
    1926. Prateek Vijayavargia, PhD Scholar @ JNU, Delhi
    1927. Prateeka Nisarga, Hyderabad
    1928. Pratiksha Baxi, JNU, New Delhi
    1929. Pratima Chaudhri, None
    1930. Pratishtha Pandya, Ahmedabad University, Ahmedabad
    1931. Praveen Jha, Professor, JNU
    1932. Praveen Kumar, Tarnaka
    1933. PRAVEEN Sequeira, Dubai
    1934. Praveen Singh, Independent
    1935. Pravin Nadkar, Trade Union Center of India, Maharashtra
    1936. Prayag Arora-Desai, Journalist
    1937. Preetham Yeruva, Concerned citizen , Hyderabad
    1938. Preethi Athreya,
    1939. Preeti Chauhan, Delhi University
    1940. Preeti Shekar, Journalist, India & US
    1941. Preeti Singh, Independent Researcher
    1942. Prem Chandavarkar, Bengaluru
    1943. Prem Pais, Manipal Hospital, Bengaluru
    1944. Prem Ratan Mohan Ram, TU Braunschweig
    1945. Premila Nazareth,
    1946. Premjish Achari, Curator, Delhi
    1947. Prerna Chawla, Los Angeles
    1948. Prita Trehan, Attack on media freedom
    1949. Pritam Singh, Visiting Scholar, Wolfson College, University of Oxford
    1950. Pritha Sen, Gurgaon
    1951. Priti Chandriani, Mumbai
    1952. Priti S, CSO, Mumbai
    1953. Pritish Ingle, None Maharashtra
    1954. pritpal singh, afdr pb
    1955. Priya Chacko, University of Adelaide, Australia
    1956. Priya Garg, Noida
    1957. Priya Puri, Delhi
    1958. Priya Sangameswaran, Kolkata
    1959. Priya Sen, Filmmaker, New Delhi
    1960. Priya Talwar, Editor
    1961. Priyaleen Singh, Academic, Delhi
    1962. Priyamvada Gopal, University of Cambridge
    1963. Priyan Bhattacharya, Research scholar, Kolkata
    1964. Priyank Jain, IIT Bombay
    1965. Priyanka Bhabu, Delhi
    1966. Priyanka Borpujari, International Christian University, Tokyo, Japan
    1967. Priyanka Dhar, Pune
    1968. Priyanka Goyal, Punjab
    1969. Priyanka Srivastava, University of Massachusetts Amherst
    1970. Priyanka Varma, Bangalore
    1971. Priyansh -, University of Toronto
    1972. prof . siby zacharias, Mahatma Gandhi University, Kottayam
    1973. Dr. Irfan Ahmad, Max Planck Institute, Gottingen
    1974. Mohan Rao, Independent researcher in Bangalore
    1975. Professor Andrew Ross, NYU
    1976. Pronab Sen, Retired government servant. New Delhi
    1977. Puja Pal, JNU, New Delhi
    1978. Pulak Parag, Doctor, Chhattisgarh
    1979. Pulapre Balakrishnan, Kozhikode, Kerala
    1980. Punam Zutshi, Artist and Independent Researcher
    1981. Puneet Bedi,
    1982. Purendra Prasad, Department of Sociology, University of Hyderabad
    1983. Purnima Bose, Indiana University, Bloomington, Indiana. USA
    1984. Purnima G, Delhi
    1985. purnima upadhyay, Amravati
    1986. Pushkar Pal, Raebareli UP
    1987. Pushkar Raj, IIT Delhi
    1988. Pushpa Sundar, IAS Rtd
    1989. Pushpit Narula, Reader, Delhi
    1990. Qahera Sayed, Mumbai
    1991. Qudsia Tabassum, Indian
    1992. R K MANDAL, Varanasi
    1993. R Rajmohan, New Delhi
    1994. R Rakshit, Independent
    1995. R S, Bhopal
    1996. R Srivatsan, Independent Researcher, Hyderabad
    1997. R Thomas, Thiruvanathapuram
    1998. Rabia Aslam, NCR
    1999. Rabia Mehra, Student, DU, Delhi
    2000. Rabin Chakraborty, Retired University Teacher
    2001. Rabindranath Mishra, Bangalore
    2002. Rachana Johri, Delhi
    2003. Rachel Jolley, Editor-in-chief, Index on Censorship
    2004. Rachel A Varghese, Kerala Council for Historical Research, Kerala
    2005. Rachna Dhingra, Member, Bhopal Group for Information & Action
    2006. Radha Chinnappa, London
    2007. Radha Datta, Mumbai
    2008. Radha Gopalan, Independent Researcher and Educator, Thiruvananthapuram
    2009. Radha Holla Bhar, Researcher
    2010. Radha Kumar, Kodaikanal
    2011. Radhika Desai, Professor, University of Manitoba, Canada
    2012. Radhika Gupta, Leiden University
    2013. Radhika Mongia, York University, Toronto
    2014. Radhika Philip, NY
    2015. Radhika Subramaniam, New School for Social Research
    2016. Rafat Munshi, Mumbai
    2017. Rafi M, Noida
    2018. Raghav Mendiratta, London School of Economics
    2019. Raghavan Rangarajan, Professor, Ahmedabad
    2020. Raghu Raghavan, Mumbai
    2021. Raghunandana, Bangalore
    2022. Raghu Ram, Bangalore
    2023. Raghu Roy, Mumbai 400050
    2024. Raghunath Menon, Education, Hyderabad
    2025. Ragini Saira
    2026. Raheel Khan, ICI
    2027. Raheel Syed, Us
    2028. Raheem Khan,
    2029. Rahul B, Ghaziabad
    2030. Rahul Biddappa, Bangalore
    2031. Rahul Govind, Delhi University
    2032. Rahul Govind, Delhi University, Delhi
    2033. Rahul Jain, Nashik
    2034. Rahul Jumde, Pune Maharashtra
    2035. Rahul Malandkar, Mumbai
    2036. Rahul Mukherji, Professor and Head, South Asia Institute, Heidelberg
    2037. Rahul Noble Singh, Rangsutra Crafts India. Delhi
    2038. Rahul Roy, Gurgaon
    2039. Rahul Sakpal, TISS, Mumbai
    2040. Rahul Sapkal, Workers Solidarity Network India
    2041. Rahul Siddharthan, The Institute of Mathematical Sciences, Chennai
    2042. Rahul Singh, Citizen of India/Prague
    2043. Rahul Varma, Teesri Duniya Theatre, Monteral
    2044. Rahul Verma, Independent writer
    2045. Rahul Vohra, None; Bombay
    2046. Raina Paul, SCHOLAR, IIEST, Shibpur
    2047. Raj Ganesh, Citizen of India , Bangalore
    2048. Raj kishore Dash, Affiliated to nobody Cuttack
    2049. Raj Kumar, Chandigarh
    2050. Raj Kumar Bhagat, University of Delhi
    2051. Raj Mohan, Kerala
    2052. Raja Rabbi Hussain, Delhi Solidarity Group
    2053. Raja Swamy, Academic, U.S.
    2054. Rajarshi Dasgupta, JNU
    2055. Rajashik Tarafder, Grad Student, Pasadena
    2056. Rajat Datta, Professor, JNU
    2057. Rajat Maliackal, Independent, New Delhi
    2058. Rajat Tuli, Delhi . No Affiliation
    2059. Rajdeep Puri, Bangalore
    2060. Rajeesh Nair, India
    2061. Rajeev B R, Bangalore
    2062. Rajeev Bhargava, CSDS
    2063. Rajeev Khanna, Independent Journalist
    2064. Rajeev R, Kerala
    2065. Rajeev Sethi, Scenographer , Mehrauli
    2066. Rajen Nair, Mumbai
    2067. Rajender Negi, PUDR
    2068. Rajendra Kapse, Mumbai
    2069. Rajendra Palande, Mumbai
    2070. Rajendra Palande, Mumbai
    2071. Rajesh Khindri, Bhopal, Madhya Pradesh
    2072. Rajesh Kumar, Freelance Journalist
    2073. Rajesh Sen, Kolkata
    2074. Rajesh Thanickan, Film Professional / Bombay (Maharashtra)
    2075. Rajesh Venugopal, LSE
    2076. Rajeshwari Rajamani, No affiliation, USA
    2077. Rajinder Chaudhary, former Professor, MDU, Rohtak, Haryana
    2078. Rajiv Jha, Shri Ram College of Commerce,Delhi University.
    2079. Rajiv N. T., Chennai
    2080. Rajiy Shankar, Navi Mumbai
    2081. Rajni Palriwala, Professor, Delhi University
    2082. Rajorshi Ray, P.hD. Scholar
    2083. rajshekhar m, reporter
    2084. Rajshree Chandra, Delhi University
    2085. Raju Sebastian, St. Berchmans College, Changanasserry
    2086. Raju Sharma, IAS Retd
    2087. Raju Sutar, Artist, Pune
    2088. Rajul Mathur, Rtd Professor, Economics
    2089. Rakesh Batabyal, JNU
    2090. Rakesh Bisaria, NJ
    2091. Rakesh Kumar, edison nj
    2092. Rakesh Sengupta, SOAS, London
    2093. Rakesh Verma, Gurgaon
    2094. Rakhi Peswani, Artist, Bangalore
    2095. Raktim Chatterjee, kolkata
    2096. Ram Kumar, AIC, USA
    2097. Ram Puniyani, CSSS Mumbai
    2098. Ram Rahman, Curator
    2099. Ram Rahman, Photographer, Delhi
    2100. Ram S, Mumbai
    2101. Rama Baru, Professor, Jawaharlal Nehru University
    2102. Rama Mantena, University of Illinois at Chicago
    2103. Rama Singh, McMaster University, Canada
    2104. Ramaa Vasudevan, Professor, Colorado State University
    2105. Ramachandra Guha, Historian
    2106. Ramalingam Elangovan, Dakshin Railway Employees Union, Chennai
    2107. Ramana Goda, Visakhapatnam
    2108. Ramani Natarajan, Advocate,Chennai
    2109. Ramani Venkatesan, Pune
    2110. Ramaswamy Balakrishnan, Coimbatore
    2111. Ramdas B, Gudalur, The Nilgiris
    2112. ramesh bairy, IIT Bombay
    2113. Ramesh Ramanathan, TN
    2114. Ramjit Kumar IIT PATNA
    2115. Rammanohar Reddy, Journalist
    2116. Ramona Parsani, Pune
    2117. Ramya Sreenivasan, University of Pennsylvania, Philadelphia, USA
    2118. Ramya Vijaya, Stockton University, New Jersey
    2119. Rana Behal, Rtd, Delhi University
    2120. Rana Khan, India Civil Watch International Toronto
    2121. Ranbir Dahiya, HGVS Haryana Rohtak
    2122. Ranbir Sidhu, Maharashtra
    2123. Randheer Mandal, Madhya Pradesh
    2124. Randhir Deore, Pune
    2125. Rani Day, Bangalore/animation films
    2126. Ranjan De, Film Maker, New Delhi
    2127. Ranjan De, Film Maker, Delhi
    2128. Ranjan Karamkar, Phd Scholar, Jnu
    2129. Ranjan Kaul, Visual Artist and Writer, New Delhi
    2130. Ranjan Solomon, Badayl
    2131. Ranjana Mangalagiri, Mumbai
    2132. Ranjana Nirula, New Delhi
    2133. Ranjana Sengupta, Editor; New Delhi
    2134. Ranjani Mazumdar, Jawaharlal Nehru University
    2135. Ranjani Shankar, Research Scholar, CIE, DU
    2136. Ranjani Srinivasan, Harvard University, Cambridge
    2137. RANJIT DEVRAJ, Inter Press Service
    2138. Ranjit Patnaik, Bhubaneswar
    2139. Ranjona Banerji, Journalist, Dehradun
    2140. Ranu Garg, Bangalore
    2141. Ranu Roychoudhuri, IIT-Guwahati & Fellow, Yale University
    2142. Ranwa Abdelnabi, Rocville, Marayland 20850
    2143. Raquel Castillo, Asia-Europe People’s Forum
    2144. Rasheed Ahmed, IAMC
    2145. Rasheed Akhtar, Indian
    2146. Rashida Bee, President, Bhopal Gas Peedit Mahila Stationery Karmchari Sangh
    2147. Rashmi Chandra, USA
    2148. Rashmi Deshpande, Bangalore
    2149. Rashmi Gupta, Mumbai
    2150. Rashmi Kumar, Allahabad
    2151. Rashmi Mala, Artist, Gujarat
    2152. Rashmi Pant, Noida,
    2153. Rashmi Varma, University of Warwick
    2154. Rashmitha Juvvadi, Concerned citizen from Hyderabad
    2155. Rasika Chopra
    2156. Rasna Bhushan, Hyderabad
    2157. Rateesh Radhakrishnan, IIT Mumbai
    2158. Ratheesh Pisharody, Freelance Writer, Bangalore
    2159. Rathi Varadarajan, Delhi
    2160. Ratik Asokan, New York
    2161. Ratna Menon, Independent Researcher, New Delhi, India
    2162. Ravi Ahuja, University of Gottingen
    2163. Ravi Ganesan, Jana Chintana Kendra, Bengaluru
    2164. Ravi Katari, Indian citizen, Chennai
    2165. Ravi Kumar, SAU, Delhi
    2166. Ravi kumar, India
    2167. Ravi Nair, New Delhi
    2168. Ravi Rajamani, Engineer, USA
    2169. Ravi Srivastava, Former Professor, JNU
    2170. Ravi Sundaram, CSDS
    2171. Ravi Sundaram, Csds,Delhi
    2172. Ravi Vasudevan, CSDS
    2173. Ravi Vijaya Satya, San Francisco, USA
    2174. Ravi Vira, None
    2175. Ravinder Jha, Miranda House Delhi
    2176. Ravinder Kaur, University of Copenhagen
    2177. Raxa Mehta, Mumbai
    2178. Rechner Alain, France
    2179. Rebecca Karl, NYU
    2180. Reena D Souza, Kaluburagi
    2181. Reena Kolekar, Bangalore
    2182. Reena Mohan, New Delhi
    2183. Reena Sen, Kolkata, lay public
    2184. Reenu Rakwar, Chandigarh
    2185. Regi Mathew, IT Trainer
    2186. Rehan Alam, INC India
    2187. Rekha Bhatia, Mumbai
    2188. Rekha Rodwittiya, Artist – Vadodara
    2189. Rekha Surya, New Delhi
    2190. Renu Khanna, Vadodara
    2191. Renuka K, Delhi
    2192. Renuka Saroha, Individual, Faridabad
    2193. Reshma Salvi, Kalyan,Maharashtra
    2194. Reuben Jadhav, New York City
    2195. Revati Vaidya, Hyderabad
    2196. Reyhan Datta, Clement Toe
    2197. Ria Sebastian, Guest Lecturer, SB College, Kerala
    2198. Ria Thomas, Malaysia
    2199. Riaz Sharma, Businessman, New Delhi
    2200. Richa Jairaj, Delhi
    2201. Richa Raj, New Delhi
    2202. Richa Singh, Sitapur, Uttar Pradesh
    2203. Rick Rowden, American University, Washington DC
    2204. Ricky KAPILA, LONDON
    2205. Ricky Saldanha, Thane
    2206. Rik Chattopadhyay, Assistant Professor, kolkata
    2207. Rina Misra, Delhi
    2208. Rinchin, Chattisgarh
    2209. Rishabh Singh, Delhi, India
    2210. Rishi Poddar, Gurgaon
    2211. Rita Brara Mukhopdhyay, Visiting Professor, Ashoka University, Sonepat, India
    2212. Rita Manchanda, South Asia Forum for Human Rights , Delhi, India
    2213. Ritambhara Shastri, Senior Journalist, New Delhi
    2214. Ritesh Jain, Mumbai
    2215. Ritesh KR, Mysore
    2216. Ritty Lukose, New York University
    2217. Ritu Dewan, Ex Mumbai university
    2218. Ritu Menon, Publisher, Kali for Women
    2219. Ritu Tyagi, USA
    2220. Rituparna Basu, Mumbai
    2221. Rituparna Sengupta, PhD scholar, Kolkata
    2222. Ritwik Agrawal, University of Arizona, Tucson, USA
    2223. Riya Bhuyan, New Delhi
    2224. Riyaaz Ismail, PAAF (People Against Apartheid & Fascism), Cape Town, SA
    2225. Rizwan Ashraffi, Mumbai
    2226. Rizwan Raza, New Delhi
    2227. Robert Jenkins, Professor, CUNY, NY
    2228. Robert Mascarenhas, Xavier’s school, Mandali
    2229. Robin Varghese, New York
    2230. Roger Jeffrey, Professor, Edinburgh University
    2231. Rohan Baraskar, Maharashtra
    2232. Rohan Bhende, Group Editor, RAO media Group Delhi
    2233. Rohan D’Souza, Kyoto University, Japan
    2234. Rohan Deb Roy, University of Reading
    2235. Rohan Kaul, Singapore
    2236. Rohini Hensman, writer and independent scholar, Bombay
    2237. Rohini Sahni, Retired professor from Pune University
    2238. Rohini Singh, Mumbai
    2239. Rohit Azad, JNU, Delhi
    2240. Rohit Bisht, UP resident
    2241. Rohit Chopra, Santa Clara University, USA
    2242. Rohit De, Yale University
    2243. Rohit Jain, Chandigarh
    2244. Rohit Kumar, A concerned citizen, Bhagalpur Bihar
    2245. Rohit Mishra,
    2246. Rohit Prajapati, Activist, Researcher and Writer, Vadodara, Gujarat
    2247. Rohit Singh, Pune
    2248. Roma Mukherjee, New Delhi
    2249. Romar Correa, Independent Scholar, Mumbai
    2250. Romila Padhi, Student in Bangalore
    2251. Romila Thapar, Historian, JNU
    2252. Romola Sanyal, LSE
    2253. Romyorup Mitra, New Delhi
    2254. Rongili Biswas, West Bengal Education Service
    2255. Ronjini Ray, New Delhi
    2256. Roopali Misra, Mumbai
    2257. Rosa Sundar-Maccagno, Undergraduate student at McGill University
    2258. Roselle Solomon, YWCA of Goa
    2259. Rosemary Dzuvivhu, Nagaland University Kohima
    2260. Roshni Devi K, Cogencis Information Services, Mumbai
    2261. Roshni Mukherji, Columbia University
    2262. Roy Antony, Architecture, Kochi
    2263. Roy Sinai, Bangalore
    2264. Ruapl Oza, new york
    2265. Rucha Chaturvedi, UCT
    2266. Ruchi Chaturvedi, University of Cape Town
    2267. Ruchi Fadte, Mumbai
    2268. Ruchir Joshi, Film-maker, Calcutta
    2269. Ruchira Gupta, xx
    2270. Rudrashish Chakraborty, Assistant Professor, KMC, DU
    2271. Rukmani K., Student
    2272. Rukminee Guha Thakurta, How
    2273. Rukmini Sekhar, Delhi
    2274. Rukmini Sen, New Delhi
    2275. Rukun Advani, Permanent Black
    2276. Rumi Shaharyar, Noida
    2277. Rune Bennike, University of Copenhagen
    2278. Runu Chakraborty, NCR Ghaziabad, UP.
    2279. Rupa Chinai, Mumbai
    2280. Rupa Gulab, Haryana
    2281. Rupa Viswanath, University of Gottingen
    2282. Rupak Majumdar, Max Planck Institute for Software Systems, Germany
    2283. Rupak Singh, Jehanabad
    2284. Rupal Agrawal, Student at University of Delhi, Delhi.
    2285. Rupali Gupte, Mumbai
    2286. Rupesh Roy, Noida
    2287. Rupkatha basu, Belgharia, kolkata
    2288. Rustam Vania, Educator, Bangalore
    2289. Ruth Pinto, University of East Anglia, Norwich
    2290. S K, Delhi
    2291. S Medeiros, TNI in Amsterdam
    2292. S Murali Krishna Pasumarthi, Hyderabad
    2293. S P Udayakumar, PMANE, Tamil Nadu
    2294. Kumar, DSE, Delhi
    2295. Prakash, JNU, New Delhi
    2296. Srinivasan, Bangalore
    2297. Sundar, IAS Rtd
    2298. Saba Dave, MKSS, SFD – Rajasthan
    2299. Sabarinath, TOI, Jaipur
    2300. Sabika Zaidi, York University, Canada
    2301. Sabina Basha, None. Bangalore
    2302. Sabina Inderjit, IJU, India affiliated to IFJ
    2303. Sabina Mehta Jaitly, New Delhi
    2304. Sabina Sawhney, New Delhi
    2305. Sabyasachi Chatterjee, Retired Scientist, Indian Institute of Astrophysics, Bengaluru
    2306. Sachidanand Sinha, Professor, CSRD, JNU
    2307. Satchidanandan, Poet, Writer
    2308. Sachin Ahire, Satana.Dist -Nasik
    2309. Sachin Arora, Noida
    2310. Sadaf Sheikh, Paris, france
    2311. Sadanand Menon, Journalist
    2312. Sadhana Kaul, bangalore
    2313. Sadhna Arya, University of Delhi
    2314. Sadhna Saxena, Rest from Delhi University, Udaipur this
    2315. Sadhu Binning, Canada
    2316. Saeed Haider, Al-Bilad English. Dammam. Saudi Arabia
    2317. Saeed Patel, New York
    2318. Safoora Naaz, Asif Nagar
    2319. Sagar Shetty, Architect, bangalore
    2320. Sagari Ramdas, Food Sovereignty Alliance, India Telangana , India
    2321. Sahana Ghosh, Brown University
    2322. Sahana Jose, Bangalore
    2323. SAHELI Women’s resource Centre, Saheli Women’s Resource Centre, New Delhi
    2324. Sahil Pandey, San Jose, California
    2325. Sailesh Tas, None, BANGALORE
    2326. Sajaya Kakarla, Independent Journalist, Hyderabad
    2327. Sajee Gopal, Fresh Perspectives, USA
    2328. Sajida Salim, USA
    2329. Sajni Mukherji, Retired Professor, Jadavpur University
    2330. Saket Chaubey, Ahmedabad
    2331. Sakshi Sirkek, Shimla
    2332. Sakuntala Narasimhan, Journalist- author -academic resource person, Bengaluru
    2333. Salah Uddin, New Delhi
    2334. Saleemuddin AHMED, Citizen
    2335. Salil Misra, Teacher Delhi.
    2336. Salil Tripathi, Writer, New York
    2337. Salim Lewis, Lewis Famiy Farm
    2338. Salim Yusuf, Canada
    2339. Salima Raza, Mumbai
    2340. Salma Raheem, Kerala
    2341. Salmaan Noor, Michigan
    2342. Salman H, Bangalore
    2343. Salman Kureishy, Mississauga
    2344. Salman Soz, Personal capacity
    2345. Saloni Mathur, UCLA
    2346. Sam Seibert, retired news editor
    2347. Samanth Subramanian, Writer
    2348. Samar Bagchi, National Alliance of Peoples Movement,West Bengal
    2349. Samar Singh, retired, Australia
    2350. Samay K, Bombay
    2351. Sameena Parvez, Muslim USA
    2352. Sameena Zehra, Arts practitioner, UK
    2353. Sameer Kulavoor, Artist, Mumbai
    2354. Sameer Sharma, Mumbai
    2355. Sameer Tiwari, reader from lucknow uttar pradesh
    2356. Sameera Jain, Film-maker
    2357. Sameeullah Dr, Chennai
    2358. Samik Bandopadhyay, Art Critic
    2359. Samina Mishra, New Delhi
    2360. Samir Kelekar, IT professional, bangalore
    2361. Samir Singh, Doctor, Gurgaon.
    2362. Samuel Ambrose., CCG., Chennai-600020
    2363. Samuel Asir Raj, Manonmaniam Sundaranar University, Tirunelveli
    2364. Samya Gupta, Bangalore
    2365. Sanal Mohan, Director KCHR, Trivandrum
    2366. Sandeep Banerjee, New Delhi
    2367. Sandeep Bhushan, Independent Academic/Journalist
    2368. Sandeep Hegade, IMERT
    2369. Sandeep Krishna, National Centre for Biological Sciences, Bangalore
    2370. Sandeep Nayak, WAPCOS, DELHI
    2371. Sandeep Pandey, Activist
    2372. Sandeep Pendse, Mumbai
    2373. Sandhya Gokhale, Mumbai, FAOW, PUCL
    2374. Sandhya menon, Bangalore, Independent Journalist.
    2375. Sandhya Srinivasan, Indian Journal of Medical Ethics, Mumbai
    2376. Sandipto Dasgupta, New School for Social Research
    2377. Sangam Tripathy, New Delhi
    2378. Sangay Mishra, Drew University, NJ
    2379. Sangeeta Dasgupta, Jawaharlal Nehru University
    2380. Sangeeta Ghosh, Delhi
    2381. Sangeeta Mall, Indian Renaissance Institute, Mumbai
    2382. Sangeeta Pratap, City University of New York, New York
    2383. Sangeeta Robinson, Faridabad
    2384. Sangeeta Roy, None. Gurugram, Haryana
    2385. Sangeeta T, New Delhi
    2386. Sanghamitra Misra, Delhi University, Delhi
    2387. Sangita Mallick, Delhi
    2388. Sania Ahmad, India Today, Noida
    2389. Sanjam Ahluwalia, Northern Arizona University, USA
    2390. Sanjay Acharya, Retiree
    2391. Sanjay Barnela, Filmmaker, Delhi
    2392. Sanjay Jain, University of Oxford
    2393. Sanjay Joshi, Professor of History, NAU
    2394. Sanjay Kanvinde, Architect New Delhi
    2395. Sanjay Kaul, Gurgaon
    2396. Sanjay Mangala Gopal, National Alliance of Peoples’ Movements (NAPM)
    2397. Sanjay Manocha, Delhi
    2398. Sanjay Palshikar University of Hyderabad, Hyderabad, Telangana
    2399. Sanjay Ruparelia, Ryerson University, Toronto, Canada
    2400. Sanjay Sharma Delhi
    2401. Sanjay Talreja, Toronto
    2402. Sanjeeb Baruah, Bard College
    2403. Sanjeev Bhargava, Delhi
    2404. Sanjeev Hariharan, Reader Gurgaon
    2405. Sanjeev Mahajan, Mountain View CA 94043
    2406. Sanjeev Mishra, Delhi
    2407. Sanjeev Parashar, Jaipur
    2408. Sanjeev Yadav, Delhi
    2409. Sanjesh Ananda, Indian living in UK
    2410. Sanjit Chatterjee, IISC, Bangalore
    2411. Sanjiv Gupta, USA
    2412. Sanjiva Shekhar, Retired / Gurugram
    2413. Sanjoy Sachdev, Journalist New Delhi
    2414. Sankaran Krishna, Professor, University of Hawaii-Manoa
    2415. Sankarshan Thakur, Journalist
    2416. Santana Khaniker, JNU
    2417. Santhos Nataraja, Bangalore
    2418. Santhosh Kumar Kolkunda, Lawyer, Vikarabad, Telangana
    2419. Santhosh Kumar Sakhinala, Research Scholar, Hyderabad
    2420. Santosh S, AUD
    2421. Santosh Samuel, Kerala
    2422. Santosh Subba, Gangtok, Simkim
    2423. Saptadeepa Chowdhury, Baguiati, Kolkata
    2424. Saqib Zahoor, New delhi
    2425. Sara Abraham, freelance
    2426. Sarah Bancroft, Bristol, UK
    2427. Sarah Coles, Alresford UK
    2428. Sarah Deo, Pune
    2429. Sarah George, Lawyer, London
    2430. Sarah Sayyed, Usa
    2431. Sarandha Jain, Columbia University, USA
    2432. Saratchand C, Satyawati College, Delhi University
    2433. Sarita Devi, University of Delhi
    2434. Sarnath Banerjee, Berlin
    2435. Sarojini N, Public Health Researcher, Delhi
    2436. Saswati Biswas, Professor, University of North Bengal
    2437. Sasha Singh, New Delhi
    2438. Sashi Thavudoz, Artist, India
    2439. Sasidharan P, Coimbatore
    2440. Sathish Kumar, Communist Party of Tamilnadu (MLM)
    2441. Satinath Sarangi, Activist
    2442. Satinder Jawanda, Concerned in New York City
    2443. Satish Chennur, Calcutta
    2444. Satish Deshpande, Sociologist, Delhi
    2445. Satish Kolluri, Pace University, New York
    2446. Satish Poduval, EFL University, Hyderabad
    2447. Sattwick Barman, Journalist, The Indian Express, New Delhi.
    2448. Satyajit Singh, Departments of Political Science & Global Studies, University of California, Santa Barbara, USA
    2449. Satyam Varma, Secretary, Rahul Foundation, Lucknow
    2450. Satyavati K, Telangana
    2451. Saumyajit Bhattacharya, Delhi University
    2452. Saurabh Dube, El Colegio de Mexico
    2453. Saurabh Goswami, Mumbai
    2454. Saurabh Khusar, Raipur
    2455. Saurabh Kumar, Bangalore
    2456. Saurabh Singh, Self employed, New Delhi
    2457. Saurav Kumar, IT Professional, Kolkata
    2458. Savita Singh, IGNOU
    2459. Savita Varde-Naqvi, Independent Consultant & former UNICEF Official
    2460. Scharada Dubey, Independent. Pune
    2461. Sd Aasim, Hyderabad
    2462. Sebanti M, student, India
    2463. Sebastian Jospeh, UC College Aluva
    2464. Seema Chishti, Journalist
    2465. Seema Mustafa, Delhi
    2466. Seemin Rubab, Teacher, Srinagar
    2467. Sehba Farooqui, Delhi
    2468. Sehej Oberoi, Mumbai
    2469. Seher Imtiaz, Punjab
    2470. Sehr Raheja, Manthan Adhyayan Kendra, Pune
    2471. Seine Pak, Toronto, ON
    2472. Sejal Babaria, USA
    2473. Sekhar Mukhopadhyay, Kolkata
    2474. Selvakumar D, Chennai
    2475. Sendhil Kumar, Puducherry
    2476. Senguttuvan Elango, Advocate
    2477. Senthil Jagadeesan, New delhi
    2478. Sevanti Ninan, journalist
    2479. SF Ali, Chennai
    2480. Shaaranya Nayak, Koraput
    2481. Shabir Ahmad, Kashmir
    2482. Shabiulaen Shaikh, Mumbai
    2483. Shabnam Ali, UAE
    2484. Shabnam Arora, Washington
    2485. Shabnam Hashmi, Anhad, New Delhi, India
    2486. Shadbano Ahmad, Canada
    2487. Shafa’at wani, Researcher
    2488. Shafi Alam, Noida
    2489. Shafi H, Mumbai
    2490. Shagufta Yasmin, Visiting Fellow, Harvard University
    2491. Shah Khan, Toronto
    2492. Shahab Jafri, Noida
    2493. Shahab Manzar, Toronto
    2494. Shahab Manzar, Toronto
    2495. Shahana Bhattacharya, Delhi University
    2496. Shahana Raza, Dubai UAE
    2497. Shaheena Attarwala, Bangalore
    2498. Shahid Akhtar, Journalist
    2499. Shahid Ameen, Kochi
    2500. Shahid Shamim, Kolkata
    2501. Shahina Ahmed, Saudi Arabia
    2502. Shahir Ray, Bangalore
    2503. Shahla Tabassum, DU & DELHI
    2504. Shaibani Azam, Jamia Millia Islamia, Delhi
    2505. Shaik Ubaid, India an Minorities Advocacy Network
    2506. Shaikh Afzal, Mumbau
    2507. Shailaja Paik, University of Cincinnati, USA
    2508. Shailaja Rao, Old Dominion University, Norfolk, VA USA
    2509. Shailendra Yashwant, Independent Photojournalist, Kerala
    2510. Shaishav Todi, No affiliation. Assam.
    2511. Shakeel Qureshi, Delhi
    2512. Shakil Mirza, Kanpur
    2513. Shakil, Dr, JSA, Bihar
    2514. Shakirudeen Farook, Pondicherry
    2515. Shakthisree S, Chennaj
    2516. Shakuntala Banaji, LSE
    2517. Shakuntala Kulkarni, Mumbai
    2518. Shalini Arora, Delhi
    2519. Shalini Dam, Himachal Pradesh
    2520. Shalini Gera, Advocate, High Court of Chhattisgarh
    2521. Shalini Grover, London
    2522. Shalini Kagal, Pune
    2523. Shalini Ramchandra, Research scholar (IISC/JNCSAR), Bangalore
    2524. Shalmali Guttal, Karnataka
    2525. Shama Asghar, Bangalore
    2526. Shama Kher, Personal /Mumbai
    2527. Shama T,
    2528. Shambhavi Singh, Helsinki
    2529. Shambhavi Sinha, Lawyer, Bangalore
    2530. Shamshadali Syed, Mumbai
    2531. Shamsul Islam, Former faculty DU
    2532. Shamya Dasgupta, Bangalore
    2533. Shanker Parjapati, CITU, Gurgaon
    2534. Shantanu Chatterjee, Al Jazeera English, Doha
    2535. Shantha Sinha, Independent child rights advocate
    2536. Shanthini Dawson, Bangalore
    2537. Shanti C, Citizen, Hyderabad
    2538. Sharad Behar (IAS Rtd)
    2539. Sharad Chari, UC Berkeley
    2540. Sharad Lele, Researcher, Bengaluru
    2541. Sharada Ganesh, Bangalore, Karnataka
    2542. Sharada Iyer, The Wire reader, Mumbai
    2543. Sharang Kolathur, kerala
    2544. Sharanya Nayak, Koraput
    2545. Sharda Ugra, Journalist, Bangalore
    2546. Sharika Thiranagama, Stanford University
    2547. Shariq Contractor, Mumbai
    2548. Sharique Nadeem, Running an NGO, based in Delhi
    2549. Sharmadip Basu, Azim Premji University
    2550. Sharmila s, IIT Bombay
    2551. Sharngan Aravindakshan, New Delhi
    2552. Sharryn Kasmir, Brooklyn, NY
    2553. Shashank Mishra, Agra
    2554. Shasheej Hegde, Professor, University of Hyderabad
    2555. Shashi Dharan, UBC, Burnaby
    2556. Shashi Vardhan, Bengaluru
    2557. Shaswata Basu, Kolkata
    2558. Shaun P, Sydney Australia
    2559. Shaurya Ratna, Bangalore
    2560. Shay Sean, Toronto, Canada
    2561. Shayok Sengupta, DePaul University Chicago
    2562. Shazia Don, Thane
    2563. Shazia Don, Thane
    2564. Sheba Tejani, The New School, New York
    2565. Sheba Thayil, Bangalore
    2566. Sheela Gowda, Artist, Bangalore
    2567. Sheela Prasad, University Hyderabad
    2568. Sheema Nazir, Srinagar
    2569. Sheetal Singh, Delhi
    2570. Shefali Chandra, Washington University
    2571. Shefali Jha, University of Hyderabad
    2572. Sheikh Saqib, Student in Srinagar, Kashmir.
    2573. Shekar K n, Hyderabad
    2574. Shekhar Singh, Former Advisor to the Planning Commission of India, NCPCR
    2575. Sheldon Pollock, Columbia University
    2576. Shephali Dighe, Concerned citizen, Vadodara
    2577. Sherna Dastur, Graphic designer, Delhi
    2578. Shernaz Italia, New Delhi
    2579. Shewli Kumar, Mumbai
    2580. Shibi Laxman, JNU
    2581. Shikha Jhingan, JNU
    2582. Shikha Mukerjee Journalist
    2583. Shilpaa Anand, BITS, Hyderabad
    2584. Shilpi Rajpal, Delhi
    2585. Shine PS, M.G.University,Kottayam
    2586. Shiney Chakraborty, Economist New Delhi
    2587. Shinjini Das, University of East Anglia
    2588. Shinjini Moitra, Kolkata
    2589. Shinu Varkey, S.B.College, Changanassery
    2590. Shireen Azam, Writer
    2591. Shireen Gandhy, xx
    2592. Shirish Inamdar, Thane
    2593. Shiv, Bangalore
    2594. Shivshankar Menon, IFS (Rtd)
    2595. Shiva Prasad, Bengaluru
    2596. Shivali Tukdeo, Nias bangalore
    2597. Shivam Patnaik, Entrepreneur Orissa
    2598. Shivam Singh, Noida
    2599. Shivam Singh, Seattle
    2600. Shivani Gupta, Delhi
    2601. Shivaram Bharathwaj, Consultant Plastic and Reconstructive Surgeon, Apollo Hospitals, Chennai
    2602. Shivek Kanojia, Mumbai
    2603. Shivendra Singh, Advocate-on-Record, Supreme Court of India
    2604. Shoaib Ansari, Pune
    2605. Shobha R, Independent artist, bengaluru
    2606. Shobhana Warrier, Kamala Nehru College
    2607. Shobhit Mahajan, Professor, Delhi University
    2608. Shobhita Jain, Retired Professor, IGNOU, Delhi
    2609. Shobna Sonpar, Clinical psychologist, Delhi
    2610. Shoibal Chakravarty, ATREE, Bangalore
    2611. Shome Basu, Delhi
    2612. Shona Chatterji, Gurugram
    2613. Shone Satheesh, Journalist, Mumbai
    2614. Shrabonti Bagchi, Mint, Bangalore
    2615. Shraddha Chickerur, University of Hyderabad
    2616. Shreya Barua, Delhi
    2617. Shreya Jani, Delhi
    2618. Shreya Roy Chowdhury, New Delhi
    2619. Shreya Sawhney, None, New Delhi
    2620. Shreya Sinha, Cambridge, UK
    2621. Sridhar Venkatapuram, Global Health Institute, King’s College London
    2622. Shripad Dharmadhikary, Manthan Adhyayan Kendra, Pune
    2623. Shrishti Malhotra, Video producer, Mumbai
    2624. Shrishti Singh, Advocate
    2625. Shruti Devgan, Bowdoin College, ME
    2626. Shruti Gupta, Gurgaon
    2627. Shruti Kapila, University of Cambridge,UK
    2628. Shruti Lokre, Lawyer Bombay
    2629. Shruti Mathur, Delhi
    2630. Shruti Mukherjee, Stony Brook University, New York
    2631. Shruti Pal, Overseas Supporter
    2632. Shruti Tambe, Savitribai Phule Pune University
    2633. Shubham Kothari, TISS, MUMBAI
    2634. Shubhendu Sen., CPI (M-L), RANCHI
    2635. Shubhra Gururani York University, Canada
    2636. Shubhranshu Choudhury, Journalist
    2637. Shueab Saifullah, Supreme Court Bar Association
    2638. Shujaat Khan, Gurgaon
    2639. Shukla Sawant, JNU
    2640. Shweta Krishnan, George Washington University, Washington DC
    2641. Shweta Tripathi, Movements, New Delhi
    2642. Shyamala S, Independent
    2643. Siddharth Chatterjee, Independent, Bengaluru
    2644. Sibi Arasu, journalist, Bangalore
    2645. Siddharth Mallavarapu,
    2646. Siddharth Narrain, UNSW
    2647. Siddhartha Chaudhuri, IIT Bombay
    2648. Siddhartha Ghosh, IIT Bombay, Mumbai
    2649. Siddiq Wahid, Professor, Kashmir
    2650. Simi Talwar Bhattacharjya, Gulmohar park
    2651. Simona Sawhney, New Delhi
    2652. Simrita Gopal Singh, Pune
    2653. Sinchan Mitra, Assistant Professor, University of Nottingham, China
    2654. Singam Chanakya, Journalist
    2655. Singay Thwas, Gurgaon
    2656. Sinjini Chatterjee, Phd student, University of California, Riverside
    2657. Siraj Dutta, Right to Food campaign, Jharkhand
    2658. Siraj Rahman, Private Citizen, Hyderabad
    2659. Sirshendu majumdar, Bolpur
    2660. Siva Prakash, Kangayam Tamilnadu
    2661. Sivakumar R, Santiniketan
    2662. Sivakumar S, Chennai
    2663. Sivasankaran Subramanian, AIIEA….Tirunelveli
    2664. Sk ali, Midnapore College
    2665. Smita Gupta, Independent Economist, New Delhi
    2666. Smitha Francis, New Delhi
    2667. Smiti Sharma, Lawyer, Chhattisgarh
    2668. Smriti H, Independent, Bangalore
    2669. Sneha Krishnan, University of Oxford
    2670. Snehal Shah, Independent Researcher, Delhi
    2671. Snehal Shingavi, Associate Professor of English, University of Texas at Austin
    2672. Snehashish Mitra, National Institute of Advanced Studies, Bangalore (India)
    2673. Snehlata Gupta, Teacher, Delhi
    2674. Snigdha S, Concerned citizen, Delhi
    2675. Sofia Hafeji, 10:10 Press, London
    2676. Sofia Sadiq, London
    2677. Sohail Akby, Teacher . New Delhi.
    2678. Sohail Kazi, Bangalore
    2679. Sohail Khan, Toronto, Canada
    2680. Sohail Siddiqui, journalist
    2681. Soham Chowdhury, Service, Kolkata
    2682. Soibam Haripriya, Ghent University
    2683. Soma Jha, Kolkata
    2684. Soma KP, Feminist researcher
    2685. Somak Biswas, Early Career Fellow, University of Warwick
    2686. Somasundar Burra, IAS (Retd.), New Delhi
    2687. Somnath Jha, Nagpur
    2688. Somok Roy, Graduate Student, Delhi University
    2689. Sona Mitra, Delhi
    2690. Sona Thacore, Australia
    2691. Sonal Jha, Munich, Germany
    2692. Sonal Paul Vyas, Gurugram
    2693. Sonal Sharma, Noida
    2694. Sonali Bagai Varma,
    2695. Sonali Sathaye,
    2696. Sonalini Mirchandani, IFS (resigned)
    2697. Sonatina Mendes, Vadodara
    2698. sonia khurana, Independent, visual artist
    2699. Soniya Amritlal Patel, Uk
    2700. Soniya Mawani, Delhi
    2701. Sonu Kumar, Delhi
    2702. Sonu Mehra, Canada
    2703. Sophia Johnson, Columbia University
    2704. Sophie Kapoor, UK
    2705. Soumen Ray, ICAN Kolkata
    2706. Soumya Dutta, Bharat Jan Vigyan Jatha
    2707. Sourav Maji, Ex student, IIEST SHIBPUR
    2708. Souvik Roy, Research Fellow, W.B
    2709. Souvik Roy, Kolkata
    2710. Sowmya Dechamma C C, Queens College, CUNY
    2711. Sowmya Ramesh, Velachery, Chennai
    2712. SP Shukla, Former Member, Planning Comission, IAS Rtd
    2713. Spencer Higdon-McGreal, Toronto, Canada
    2714. Sreangsu acharyya, MSRI
    2715. Sree Surendran, Lecturer, Bangalore
    2716. Sreedhar Ramamurthi, Environics Trust
    2717. Sreekala MG, Goa
    2718. Sreekumar Nair, Coimbatore
    2719. Sreela Das Gupta, Kolkata
    2720. Sreenivas K. G., Creative Brands – Asia Pacific/Middle East
    2721. Sreeparna Chattopadhyay, Netherlands
    2722. Sreya Majumder, Delhi
    2723. Sreyashi Dastidar, Communications professional, Bangalore
    2724. Sri Krishna Kayitho, Independent
    2725. Sri S, Researcher, CelTis Laboratories.
    2726. Sridhar Kolinjavadi, New York, NY
    2727. Srikanth Goni, Shimoga
    2728. Srikanth VENKATARAMAN, Thane
    2729. Srikrishna Sekhar, University of Cape Town, Cape Town, South Africa
    2730. Srila Roy, Pune
    2731. Srilakshmi Divakar, Somanahali
    2732. Srimati Bau, Professor of Gender and Women’s Studies, University of Kentucky
    2733. Srinath Raghavan, Professor, Ashoka University
    2734. Srinivas Mohan, Self employed; Chennai.
    2735. Srinivasan Ranganathan Chennai
    2736. Sriparna Ganguly, Mumbai
    2737. Sriram Srinivasan, IIT Bombay, Mumbai
    2738. Srirupa Prasad, University of Missouri-Columbia
    2739. Srirupa Roy, University of Gottingen
    2740. Sristy Agrawal, University of Boulder, Colorado
    2741. Stacey Bunch, Missouri USA
    2742. Stacy James, India
    2743. Stalin D, Mumbai
    2744. Stan Swamy, Bagaicha
    2745. Stephanie Luce, City University of New York
    2746. Stephanie Leder, SLU
    2747. Stephen Rego, Mumbai
    2748. Steve Vedula, Delhi
    2749. Su P, University of east anglia, Norwich,UK
    2750. Subah Dayal, NYU
    2751. Subhashini Ali, CPM
    2752. Suhasini Singh, Indian
    2753. Subash jeyan, Chennai
    2754. Subhash Devare, Bangalore
    2755. Subhash Gatade, New Socialist Initiative, Delhi
    2756. Subhashis Banerjee, IIT Delhi
    2757. Subhashis Ghoshal, North Carolina State University, Raleigh, NC 27695
    2758. Subhasis Nibir, IIEST, Shibpur
    2759. Subhorup Dasgupta, Citizen of India, Hyderabad, Telangana
    2760. Subir Sinha, SOAS, London
    2761. Subho Basu, Associate Professor of History, McGill University
    2762. Subodh Bhargava, Gurgaon
    2763. Subramaniam K, Homi Bhabha centre for science education
    2764. Subrat Kumar Sahu, Independent Filmmaker, New Delhi
    2765. Subro saha, Utrecht University
    2766. Suchandra Ghosh, Bangalore
    2767. Sucharita Sen, Professor JNU
    2768. Sucheta Dalal, Journalist
    2769. Sucheta Mahajan, Professor, JNU
    2770. Suchitra M., Journalist
    2771. Suchitra Mathur, IIT Kanpur
    2772. Suchitra Menon, New Delhi
    2773. Suchitra Vijayan, The Polis Project, New York
    2774. Sudarshan K. Bhalla, xx
    2775. Sudeep Chaudhuri, New Delhi
    2776. Sudeep Kumar, Lucknow
    2777. Sudha Acharya, Mysore
    2778. Sudha Arora, Mumbai
    2779. Sudha N, Bengaluru
    2780. Sudha Rajagopalan, University of Amsterdam
    2781. Sudha Vasan, University of Delhi
    2782. Sudhanshi Vasudev, Private sector
    2783. Sudhanva Deshpande, LeftWord Books, New Delhi
    2784. Sudhir Agrawal, Samagra Vikas Party
    2785. Sudhir Chandra, Historian
    2786. Sudhir Pattnaik, Bhuvaneshwar
    2787. Sudip Chaudhuri, Centre for Developmemt Studies, Trivandrum
    2788. Sudipta Sarkar, Kolkata
    2789. Sudipto Mitra, Royal Holloway, University of London
    2790. Sudipta Kaviraj, Columbia University
    2791. Sudipto Mundle, journalist
    2792. Sudir Damodran, Kerala
    2793. Sugata Ray, UC Berkeley
    2794. Suhaib Roomy, New Delhi
    2795. Suhan Prabhakar, Bangalore
    2796. Suhas Kolhekar, National Alliance of People’s Movements
    2797. Suhas Paranjape, Thane
    2798. Suhasini Mulay, Individual
    2799. Sujata Gothoskar, Social Activist, Mumbai
    2800. Sujata Jena, HR group
    2801. Sujata Khanna, New Delhi
    2802. Sujata Patel, Distinguished Professor, Savitribai Phule Pune University, Pune
    2803. Sujata Pradhan, Vadodara, gujarat
    2804. Sujata Sharma, Psychologist , Delhi
    2805. Sujata Sharma, Delhi
    2806. Sujatha Padmanabhan, Pune
    2807. Sujatha Rs, Bengaluru
    2808. Sujatha Singh, Retired civil servant
    2809. Sujatha V, JNU, New Delhi
    2810. Sujay Mehdudia, Independent consultant, Delhi
    2811. Sujit Patwardhan, Pune
    2812. Sujit Patwardhan, Pune
    2813. sujith kumar, Kerala
    2814. Sukanta Chaudhuri Jadavpur University, Kolkata
    2815. Sukanya Banerjee, Delhi
    2816. Sukanya Ghosh Artist. Delhi, Kolkata
    2817. Sukla Sen, Peace Activist, Mumbai
    2818. Suli Anr, Jnu
    2819. Sultaan Noor, Mumbai
    2820. Sultan Sattani, With the People and Constitution of India. Pune
    2821. Sumaira Nawaz, McGill University, Montreal
    2822. suman bahuguna, company director, activist, engineer, Guwahati
    2823. Suman Chalam, Bangalore
    2824. Suman Sharma, Delhi
    2825. Suman Srivastava, Mumbai
    2826. Sumangala Damodaran, Ambedkar University Delhi
    2827. Sumantra Bose, Professor, LSE
    2828. Sumantra Ghosal, Mumbai
    2829. Sumedha Basu, University of Warwick
    2830. Sumeet Agarwal, IIT Delhi
    2831. Sumi Krishna, Bengaluru
    2832. Sumi Madhok, LSE
    2833. Sumit Ganguly, Indiana University, Bloomington
    2834. Sumit Guha, University of Texas at Austin
    2835. Sumit Jain, Delhi
    2836. Sumit Sarkar, Retired professor, Delhi University
    2837. Sumita Kumar, Sydney
    2838. Sumitra ankuram, hyderabad
    2839. Summaiya farooq, Canada
    2840. Sumul Nazmine, Delhi
    2841. Sunam Sarkar, Singapore, no affiliation
    2842. Sunanda sen, Gurgaon
    2843. Sundar Sarukkai, Professor NIAS
    2844. Sundarraj Mahadevan, Bangalore.
    2845. Sundeep Bhatia, Mumbai
    2846. Sundeep Dougal, Independent Journalist
    2847. Sundeep Khanna, Columnist, Delhi
    2848. Suneeta Dhar, Activist, Delhi
    2849. Suneetha A, Women and Transgender Organisations Joint Action Committee
    2850. Suneetha Eluri, India
    2851. Sunil Babu C.T, Delhi School of Economics
    2852. Sunil Banerjee, Well wisher from Delhi
    2853. Sunil Kumar, LSE
    2854. Sunil Kumar, FMRAI
    2855. Sunil SJ, Free India, South
    2856. Sunil Shanbagh, Theatre Director
    2857. Sunit Arora, Editor, Special Assignments, Mint from the HT group
    2858. Sunita Namjoshi, Mumbai
    2859. Sunita Prabhu, India
    2860. Sunita Thakur, Journalist
    2861. Sunita Vatuk, New York, New York
    2862. Sunita Viswanath, Hindus for Human Rights, NY
    2863. Sunita VS Bandewar, Health, Ethics, and Law Institute, Mumbai
    2864. Suniti Sanghavi, California, USA
    2865. Sunjay Menon, N/A
    2866. Supo Agathiyalingam, Bengaluru
    2867. Supratik Chakraborty
    2868. Supriya Chaudhuri, Jadavpur University
    2869. Supriya K, Arizona State University, Tempe
    2870. Supriya Nayak, Odissi dancer, Toronto
    2871. Supriya RoyChowdhury, Bangalore
    2872. Supriya Varma, Jawaharlal Nehru University, New Delhi
    2873. Supriyo Sarkar, Kolkata West Bengal
    2874. Surabhi Ranganathan, University of Cambridge
    2875. Surabhi Vaya, Law student
    2876. Suraj Jacob, Azim Premji University, Bangalore
    2877. Surajit Bhattacharyya, Kolkata
    2878. Surajit Mazumdar, CESP, JNU, New Delhi
    2879. Suranjan Sinha, Independent researcher, Gurgaon.
    2880. Surbhi Karwa, Lawyer, Delhi
    2881. Surbhi Mahajan, Development Practitioner
    2882. Surbhi Shrivastava, CEHAT, Mumbai
    2883. Surendra Nath IAS (ret)
    2884. Suresh Abraham, Kerala
    2885. Suresh Rajamani, Mumbai
    2886. Suresh Ramavath, Hyderabad
    2887. Surinder Kumar, Former professor, Rohtak
    2888. Surinder S. Jodhka, Jawaharlal Nehru University
    2889. Surjit Das, Dehradun
    2890. Surojeet Chatterji,
    2891. Suryanarayana Reddy R., Hyderabad, TS.
    2892. Suryansu Guha, UCLA, LA
    2893. Susan Abraham, New Delhi
    2894. Susan Abraham, Lawyer, Mumbai
    2895. Susan Dhavle, Pune, India
    2896. Susan Koshy,
    2897. Susan Visvanathan, Professor, JNU
    2898. Sushant Kishore, Chennai
    2899. Susheela Sundarraj, Chennai
    2900. Sushmita Jha, Retired individual
    2901. Sushobha Barve, Gurgaon, Haryana
    2902. Susie Tharu, Retd Professor, Hyderabad
    2903. Susmit Sen, Gurgaon
    2904. Suvankar Chowdhury, Kolkata
    2905. Suvarna Menon, Student at Jawaharlal Nehru University
    2906. Suvarna Oommen, New Delhi
    2907. Suvir Kaul, University of Pennsylvania
    2908. Suvrat Raju, International Centre for Theoretical Sciences, Bengaluru
    2909. Suvro Aon, IIEST Shibpur
    2910. Suwalal Jangu, Department of Political Science, Mizoram University
    2911. Suzanne Hall, LSE
    2912. Svati Joshi, Ahmedabad
    2913. Swadhin Pattanayak, Institute of Mathematics, Bhuvaneshwar
    2914. Swami Agnivesh
    2915. Swapnil Gupta, Bangalore
    2916. Swarna Rajagopalan, Independent researcher and writer
    2917. Swati Desai, Paryavaran suraksha samitee, Gujarat
    2918. Swatija Manorama, Thane
    2919. Syed Abbas, Canada
    2920. Syed Akbar Hyder, The University of Texas at Austin
    2921. Syed Ali, Teacher, Hyderabad
    2922. Syed Ali Mujtaba, Gurunanak college Chennai
    2923. Syed Basha, Truth is the Affiliation and Andhra Pradesh
    2924. Syed Hasan, USA
    2925. Syed Iqbal Simnani,Germany.
    2926. Syed Mubarak Jawad, Hyderabad
    2927. Syed Nayab, Mumbai
    2928. Syed Qaswar, Canada
    2929. Syed Rizvi, UCI, Irvine
    2930. Syed Rizvi, Boston
    2931. Sylvia Francis, Thiruvananthapuram
    2932. Sylvia Mishra, Washington DC
    2933. Sylvia Vatuk, University of Illinois, Chicago, USA
    2934. T R Govindarajan,Professor (Emeritus) Inst of Mathematical Sciences,Chennai
    2935. TA Abinandanan, IISC Bangalore
    2936. T Toll, IIT Delhi
    2937. Jayaraman, MS Swaminathan Research Foundation, Chennai
    2938. Tahir Ahmed, India
    2939. Tahira Ghias, USA
    2940. Tajender Sagoo, Artist, London
    2941. Tallur LN, Karnataka
    2942. Tamil Rajendiran, Karur,Tamilnadu,India
    2943. Tamojit Sinha Ray
    2944. Tanay Balantrapu, Washington D.C.
    2945. Tanika Chakraborty, IIM Calcutta, Kolkata
    2946. Tanika Sarkar, Retired Professor, JNU
    2947. Tanima Das, Kolkata
    2948. Tanveer Ikram, Delhi
    2949. Tanveer Khan, Canadian journalist Toronto
    2950. Tanvi Uppal, Delhi
    2951. Tanvir Aeijaz, University of Delhi, Delhi
    2952. Tanweer Fazal, University of Hyderabad
    2953. Tanweer Fazal, Department of Sociology, University of Hyderabad
    2954. Tanwir Ahmed, kolkata
    2955. Tanwir Syed, Bhubaneswar
    2956. Tanya Jakimow, Australian National University
    2957. Tapati Guha-Thakurta, Retired Professor of History, Centre for Studies in Social Sciences, Calcutta
    2958. Tara Krishnaswamy, Activist
    2959. Tara Murali, Architect, Chennai
    2960. Tarangini Sriraman, Azim Premji University, Bangalore
    2961. Tariq Cheema, Guelph, Ontario
    2962. Tariq Ghauri, Lucknow
    2963. Tariq Hasan, Aligarh
    2964. Tariq Jilani, Retired professor
    2965. Tariq Noor, Ontario Canada
    2966. Tarique Neyaz, Riyadh Saudi Arabia
    2967. Taylor Sherman, LSE
    2968. Tazeem Bhat, Jammu and Kashmir
    2969. Teena Purohit, Boston University
    2970. Tejal Shah, Actor, New Delhi
    2971. Tejaswini Ganti, New York University
    2972. Tejgouri mirje, Citizen of India, Mumbai
    2973. Tenzin Yangki, Centre for Policy Research, New Delhi
    2974. Teren Sevea, University of Pennsylvania
    2975. Terence Dsouza, Chennai
    2976. Terrence Maccagno, IT Professional, Toronto, Canada
    2977. Terry McKinley, SOAS -England
    2978. Thejas Krishna, Chennai
    2979. Thelma B K, University of Delhi south campus, New Delhi
    2980. Theo Rods, Goa
    2981. Thiago Barbosa, University of Bayreuth
    2982. Thomas Franco, Chennai
    2983. Thomas Metcalf, Professor Emeritus, University of California, Berkeley
    2984. Thomas P J, St Berchmans College , Changanaserry
    2985. Thomas Pallithanam, International
    2986. Thomas Sandy
    2987. Thukir Vadhana, India
    2988. Thyagarajan VS, Bangalore
    2989. Tia Zakki, New Delhi
    2990. Timmy Sharma, Delhi
    2991. Timothy Brennan, University of Minnesota
    2992. Tina Mary Mathew, Seattle, US
    2993. Tiziana Leone, LSE
    2994. Tomson Francis, Kerala
    2995. Tonu Basu, Delhi
    2996. Tony Joseph, Author
    2997. Tripta Wahi, Delhi
    2998. Trisha Pande, journalist, New Delhi
    2999. Trent Brown, University of Melbourne
    3000. Tseten Choezom, xx
    3001. Tuhin paul, Kolkata
    3002. Tulika Sharma, Delhi
    3003. Tultul Biswas, Bhopal, MP
    3004. Tunku Varadarajan, Executive Editor, Hoover Institution, Stanford University, California, USA.
    3005. Tutu Sikand, Gurgaon
    3006. Twinkle Chopra, Independent; Gujarat
    3007. Twinkle Siwach, Jawaharlal Nehru University
    3008. UCB santosh, Denver, Colorado
    3009. Udaya Kumar, JNU, New Delhi
    3010. Udeet Methala, Mumbai
    3011. Udita Chatterjee, FPC Coordinator, New Delhi
    3012. Ujjaini Chatterji, Advocate, New Delhi
    3013. Ujjwal Kumar Singh, University of Delhi
    3014. UK Anandavardhanan, IIT Bombay, Mumbai
    3015. Uma Bhrugubanda, EFL University, Hyderabad
    3016. Uma chakravarti, historian
    3017. Umair S, Maharashtra
    3018. Umar Arshi, IIT ROPAR, PUNJAB
    3019. Umer Farooq, Larsen and Toubro Ltd. Faridabad
    3020. Unni Karunakara, Yale University
    3021. Unni Krishnan, Independent
    3022. Unni Krishnan, War Child, Amsterdam
    3023. Urmila Chowdhury, Delhi
    3024. Urmimala Sarkar, JNU, Delhi, Insia
    3025. Urvashi Butalia, Zubaan Books
    3026. Urvashi Jain, Gurgaon
    3027. Usama Ali, Kerala
    3028. Usha Hariharan, Mumbai
    3029. Usha Iyer, Asst Professor, Stanford University
    3030. Usha Nair, Israel
    3031. Usha Pandit, Mumbai
    3032. Usha Raman, University of Hyderabad, Hyderabad
    3033. Usha Rao, Bangalore – Independent Researcher, media maker.
    3034. Usha Seethalakshmi, Independent Researcher & Activist, Hyderabad
    3035. Usha Vardararajan, Mother
    3036. Ushi Kak, Noida,a retired Academic
    3037. Usman J, independent researcher
    3038. Usmankhan Umarkhan Pathan, Gandhinagar
    3039. Usuf Chikte, Cape Town.
    3040. Ute Huesken, Heidelberg University, Heidelberg
    3041. Uwe Hoering, Stiftung Asienhaus, Germany
    3042. Uzma Mohsin, Independent
    3043. V Kawlra, No affiliation. India
    3044. Geetha, Chennai
    3045. S. Sunder, Professor (Retd), Indian Institute of Mathematical Sciences, Chennai
    3046. Vaasanthi ., Writer and Journalist
    3047. Vasanthi Devi, Former Vice-Chancellor, Manonmaniam Sundaranar University & Former Chairperson, Tamil Nadu State Commission for Women
    3048. Vadakke Raman, Member NAPM.
    3049. Vaibhav Agrawal, Fatehpur sikri agra
    3050. Vaibhav Vaish, IISER Mohali
    3051. Vaisakhi R, New Delhi
    3052. Vaishali Dighe, Avid reader of Wire in US
    3053. Vaishnavi K, Independent, TN
    3054. Vaishno R, New Delhi
    3055. Vajra Zayara, Bangalore
    3056. Vamsi Vakulabharanam, University of Massachusetts Amherst
    3057. Vandana Kulkarni, Reader pune
    3058. Vandana Mahajan, Researcher
    3059. Vandana Menon, Delhi
    3060. Vandana Mohindra, Freelance travel & wildlife writer
    3061. Vandana Palsane, Academic in india
    3062. Vandana Srivastava, Centre for Learning, Bangalore
    3063. Vanessa Chishti, O.P. Jindal Global University
    3064. Vanita Mukherjee, Concerned Citizen
    3065. Vanshi Bhagat, Delhi
    3066. Vanya Suneja, Vasant Kunj
    3067. Vappala Balachandran, IPS (Retd.)
    3068. Varghese Koshy, Retired Journalist, Kochi
    3069. Varghese Manimala, Rector, Eluru
    3070. Varghese Peter, Sydney, Australia
    3071. Varkha Chulani, Bandra Mumbai
    3072. Varsha Chitale, Pune
    3073. Varsha Mehta, Independent, New Delhi
    3074. Varsha Rajan Berry, Mrinal Gore Interactive Centre, Mumbai
    3075. Varun Eknath, Lawyer
    3076. Varun Mathew, New Delhi
    3077. Varun Sahni, IUCAA, Pune 411007
    3078. Varunika Saraf, Artist and art historian
    3079. Vasanth Kannabiran, Asmita, Secunderabad, Telangana
    3080. Vasantha A S, New Delhi
    3081. Vasim Mukadam, Mumbai
    3082. Vasudeva Kamath, Touro College of Osteopathic Medicine, Middletown, NY
    3083. Vasudha Dalmia, Professor Emerita, University of California, Berkeley
    3084. Vasuki Nesiah, Associate Professor of Practice, The Gallatin School, NYU
    3085. Vasundhara Chauhan, Citizen
    3086. Vatsala Mamgain, New Delhi
    3087. Vebhuti Duggal, Ambedkar University Delhi
    3088. Veda Bharadwaja, Delhi , Development activist
    3089. Veena Bakshi, Freelancer Mumbai
    3090. Veena Das, Professor, Johns Hopkins University
    3091. Veena Gokhale, Writer, Montreal
    3092. Veena Gowda, Mumbai
    3093. Veena Oldenburg, CUNY
    3094. Veena Shatrugna, Former Deputy Director, National Institute of Nutrition, Hyderabad
    3095. Venkata Ratnakar, Hyderabad
    3096. Venkataraman Visweswaran, Madurai,Taminadu
    3097. Venkatesh Athreya, Adjunct Professor, Asian College of Journalism, Chennai, India
    3098. Venu Madhav Govindu, Indian Institute of Science
    3099. Veronica Xavier, Delhi
    3100. Vibha Das, retired civil servant
    3101. Victor Arrp, New Delhi India
    3102. Vidhi Jain, None mumbai
    3103. Vidhi Shah, Mumbai
    3104. Vidhya Das, Agragamee
    3105. Vidya Das, Delhi University
    3106. Vidyadhar date, mumbai
    3107. Vidyarthi Vikas, Patna
    3108. Vignesh M, Kerala
    3109. Vijay Bharatiya, South Asia Peace Alliance
    3110. Vijay Chacko, Chennai
    3111. Vijay Dennis, Karnataka
    3112. Vijay Kiyawat, Delhi
    3113. Vijay Krishna, No affiliation Coimbatore
    3114. Vijay Oberoi, Panchkula
    3115. Vijay Padaki, Retired
    3116. Vijay Prashad, Leftword Books
    3117. Vijay Primlani, Delhi
    3118. Vijaya Venkataraman, University of Delhi, Delhi
    3119. Vijayalakshmi Katragadda, Hyderabad
    3120. Vijoo Krishnan, Joint Secretary, All India Kisan Sabha, New Delhi
    3121. Vikas Dubey, IIT Kanpur
    3122. Vikas Gupta, Delhi University
    3123. Vikram Iyengar, artist & curator, Kolkata
    3124. Vikas Kumar, University of delhi
    3125. Vikas Pathak, Faculty member, Asian College of Journalism, Chennai
    3126. Vikas Rawal, Jawaharlal Nehru University, New Delhi
    3127. Vikram C, India
    3128. Vikram Gokhale, Mumbai, no affiliation
    3129. Vikram Kaushik, Bangalore
    3130. Vikram Mane, Mumbai
    3131. Vikram Seth, Writer
    3132. Vikram Tandon, Delhi
    3133. Vikram Vyas, Independent researcher, New Delhi
    3134. Vikramaditya Motwane, Mumbai
    3135. Vikramaditya Thakur, Dept. of Anthropology, University of Delaware
    3136. Vikramajit Ram, Writer, Bangalore
    3137. Vinay Gidwani, Professor, University of Minnesota, USA
    3138. Vinay Jha, Concerned Citizen of India
    3139. Vinay Kulkarni, Prayas, Pune
    3140. Vinay Nagaraju, Fellow, Harvard University
    3141. Vinay Prasad, Hyderabad
    3142. Vineet George, Delhi University
    3143. Vineet Tiwari, All India Progressive Writer’s Association, Indore, India.
    3144. Vineeta Rai
    3145. Vinish Gupta, Centre for Holistic Learning, Hulekal Village, Sirsi Taluka, Karnataka
    3146. Vinita Bali, Bangalore
    3147. Vinita Damodaran, Sussex University
    3148. Vinod Dua, Delhi
    3149. Vinod Mubayi, Ci-editor Insaf Bulletin
    3150. Vinod Raja, Cameraperson, Documentary film director
    3151. Vinod Sen, Indira Gandhi National Tribal University, Amarkantak
    3152. Vinod Varshney, Freelance Journslist
    3153. Vinod Vyasulu, Retired
    3154. Violet D, London
    3155. Vipul Sangoi, London
    3156. Viqar Naqvi, Mississauga, ON
    3157. Virendra Sharma, Faridabad
    3158. Virginia Saldanha, Mumbai
    3159. Virginius Xaxa, Former Professor, Delhi University
    3160. Vishal Choradiya, Bangalore
    3161. Vishal Lakhina, Irvine Ca
    3162. Vishal Patel, New Delhi
    3163. Vishal Singh deo, Delhi university
    3164. Vishal Singh deo, Delhi university
    3165. Vishnu Kumar, Bangalore
    3166. Vivan Sundaram, ARTIST
    3167. Vivek Gupta, Hisar, Haryana
    3168. Vivek Jha, New delhi
    3169. Vivek Mathur, Unaffiliated, New York
    3170. Vivek Mehta, TU, Assam
    3171. Vivek Monteiro, Secretary, CITU Maharashtra
    3172. Vivek Mukherji, Journalist
    3173. Vivek Pradhan, Bangaore
    3174. Vivek Rai, Individual, India
    3175. Vivek Sundara, Social activist,Mumbai
    3176. Viven Bagde, Student, Nagpur Maharashtra
    3177. Vivian Fernandes, Delhi
    3178. Vn Saroja, Noida
    3179. vrajesh udani, mumbai
    3180. VRINDA GROVER, Lawyer
    3181. Vrinda Kanvinde, Student, Delhi
    3182. Vrinda Narain, Faculty of Law, McGill University
    3183. Wajh Malik, Delhi
    3184. Walter Fernandes, NESRC, Gauhati
    3185. Walter Fernandes, Director, North Eastern Social Research Centre, Guwahati
    3186. waqas chaudhry, Canada
    3187. Waqqas Syed, Lucknow
    3188. Waseem Saeed, Delhi
    3189. Waseem Shariff, Bangalore
    3190. Wei Ong, Toronto
    3191. Wendy Doniger, Professor Emerita at the University of Chicago
    3192. Wilfred Dcosta, Indian Social Action Forum, New Delhi
    3193. Willa Holt, McGill University
    3194. William Mazzarella, Professor, University of Chicago
    3195. William Pereira, Andheri, Mumbai
    3196. Wren Fernandes, Goa
    3197. Xavier Dias, Mines, Minerals, and Rights
    3198. Yahya Hammad, Delhi
    3199. Yamini Pande, Gurgaon
    3200. Yann Weladji, Chateauguay
    3201. Yash Lad, Concerned citizen, marketing professional, San Francisco USA
    3202. Yash Paul Narula, Journalist, New Delhi.
    3203. Yash Samat, singapore
    3204. Yashadatta Alone, School of Arts and Aesthetics Jawaharlal Nehru University New Delhi
    3205. Yashwant Sinha, Former Finance Minister & External Affairs Minister
    3206. Yasmeen Wani, Advocate
    3207. Yasmin Peer, Montreal
    3208. Yasmin Saikia, Arizona State University
    3209. Yasna Khademian, The McGill Daily, Montreal
    3210. Yatharth Ratadiya, Mumbai
    3211. Yatish Moncourt, None, Bangalore
    3212. Yavuz Yasar Yasar, University of Denver, Colorado, USA
    3213. Yogendra Yadav, President, Swaraj India
    3214. Yogesh Chandrani, Colorado College
    3215. Yogesh Jain, Public Health Physician
    3216. Yogesh Ranta, Oneindia Hindi
    3217. Yogesh Upadhyay, Delhi
    3218. Yousuf Zaheer, New Delhi
    3219. Yusra Khan, Student, Delhi
    3220. Zafar Nayeem, Bangalore
    3221. Zahid Choudhary, J&k
    3222. Zahir Masters, Pune
    3223. Zahoor Khan, Toronto
    3224. Zaid Al Baset, Kolkata, citizen of India
    3225. Zakir Ahmed, Canada
    3226. Zakiya Shireen, Melbourne, Australia
    3227. Zameer Ahmed, Kolkata
    3228. Zameer Ansari, Mumbai
    3229. Zarin Khan, Hyderabad
    3230. Zarina Dacunha, Goa
    3231. Zeenat Hakim, Maharashtra
    3232. Zeenat Shaukat Ali, Direrctor Feneral Wisdom Foundation
    3233. Zeeshan Ali, Indore MP
    3234. Zeeshan Husain, Independent researcher, Kolkata
    3235. Zehra Husain, Al Khobar, KSA
    3236. Zerx Umrigar, Mumbai
    3237. Zohra Javed, Concerned Citizen
    3238. Zoya Akhtar, Mumbai
    3239. Zubair Ali, Kerala
    3240. Batul Mukhtiar, filmmaker
    3241. Mitul Baruah, Ashoka University
    3242. Rahul Basu
    3243. Rahul Rao, SOAS
    3244. Ankush Vengurlekar
    3245. Kishin Moorjani, Rtd. Johns Hopkins University
    3246. Priyanka Das, IIT Mumbai
    3247. Atreyee Gupta, UC Berkeley
    3248. Aaditeshwar Seth, Gram Vaani and IIT Delhi
    3249. Sonya Surabhi Gupta, Jamia Milia Islamia
    3250. Rashmi Vajpeyi
    3251. Ashok Vajpeyi
    3252. Kabir Vajpeyi
    3253. Geeta Anand, UC Berkeley
    3254. Kalyan Nadiminti, Assistant Professor of English, Gettysburg College
    3255. Amit R. Baishya, University of Oklahoma
    3256. Purnima Singh, Fed-up Citizen of Delhi, India
    3257. Projit Bihari Mukharji, Associate Professor, University of Pennsylvania.
    3258. Cdr Benjamin Charles (Retd)
    3259. Aashish Gupta, University of Pennsylvania, Philadelphia
    3260. Kavita Upadhyay, University of Oxford
    3261. Ravinder Banyal, Bangalore
    3262. Ashik Kumar, French Institute of Ponidcherry
    3263. Deana Heath, University of Liverpool
    3264. Achin Chakraborty
    3265. Skye Arundhati Thomas, Writer
    3266. N. Raghuram, New Delhi
    3267. Gitanjali Dang
    3268. Srikanth, Indian Institute of Science Bangalore
    3269. Rohini Mohan, independent journalist, Bangalore
    3270. Rajendran Narayanan, APU Bangalore
    3271. Varsha Torgalkar, journalist, Pune
    3272. Samarth Bansal, journalist, Delhi
    3273. Nikhil Anand, Univ of Pennsylvania
    3274. Sharada Kerkar
    3275. Subodh Kerkar
    3276. Savita Kerkar
    3277. Sonia Khurana, visual artist, Delhi
    3278. Binu Mathew, Founder Editor, Counter Currents
    3279. Ajaya Kumar Singh Lawyer, Human Rights Activist, Odisha
    3280. Zakia Soman Women’s Activist
    3281. Cedric Prakash, Human Rights Activist
    3282. Mira Shiva, Health Activist
    3283. Gladston Xavier, Associate Professor, Loyola College, Chennai
    3284. Neeta Deshpande, writer, Bangalore
    3285. Sidharth Dube
    3286. Mihika Chatterjee, University of Oxford
    3287. Savita Chandiramani
    3288. Sajai Jose, journalist
    3289. Dr Maya John, University of Delhi (women’s rights activist)
    3290. Harish Gautam, Safai Karamchari Union
    3291. Dinesh Verma, PhD scholar and student activist, Krantikari Yuva Sangathan
    3292. Aarti Kushwaha, activist, Gharelu Kamgar Union
    3293. Lalit Kumar, leader, Anand Parbat Daily Hawkers Association
    3294. Sachin Bhandari, Delhi Metro Commuters Association
    3295. Ram Nath Singh, Blind Workers Union
    3296. Chinglen Khumakcham, North-East Forum for International Solidarity
    3297. Fatima K Chaudhary, Centre for Struggling Women
    3298. Bhim, Mazdoor Ekta Kendra
    3299. Rohit Singh, Ghar Bachao Morcha, Delhi
    3300. Madhu Sarin, Environmentalist Chandigarh
    3301. Ramchandran Journalist
    3302. Anisha Palat
    3303. Palat Achuthan
    3304. Usha Palat
    3305. K.M.Sreekumar, Professor, College of Agriculture, Padannakkad, Kasaragod
    3306. Ajay Desai, artist
    3307. Ajitha Rao, clinical researcher, Delhi
    3308. George Pulikuthiyil & Jananeethi
    3309. Premjish Achari, Curator and Writer
    3310. Varunika Saraf, Artist and Art Historian
    3311. Snehal Shah, independent researcher, Delhi
    3312. Kama McLean, University of NSW
    3313. Manju Menon, environmental researcher
    3314. Kanchi Kohli, environmental researcher
    3315. Hugo Gorringe, University of Edinburgh
    3316. Sanjoy K Roy, North bengal University
    3317. Suresh Govindrajan, IIT Madras
    3318. Maitreesh Ghatak, LSE
    3319. Tenzin Yangphel, IP University, Delhi
    3320. Ravi Nair, SHRDC
    3321. Debashis Sengupta
    3322. Reena Mohan
    3323. Gautam Navlakha, journalist
    3324. Gautam Sonti
    3325. Sumit Basu
    3326. Pramod Balakrishnan
    3327. Rasika Chopra
    3328. Banikanta Mishra, Prof. Bhubaneshwar
    3329. Gita Jayaraj, IIT Madras
    3330. Priyaranjan Sahu, journalist
    3331. Visvak
    3332. Sunil Agnani, University of Illinois at Chicago
    3333. Julien Levesque, researcher, Centre de Sciences Humaines, New Delhi
    3334. Mara Mills, NYU
    3335. Charu Singh, Adrian Research Fellow, University of Cambridge
    3336. Pranjal Trivedi, Postdoctoral Scholar, University of Hamburg
    3337. Mita Deshpande, Ph.D. candidate, Jawaharlal Nehru University.
    3338. Bikramjit S. Sra
    3339. Sumit Basu, Professor, IIT Kanpur
    3340. Madhura Lohokare, Jindal Global University
    3341. Ramakrishnan, Retired Professor, Bharathiar University
    3342. Savyasaachi, Professor, Jamia Milia Islamia
    3343. Maya Valecha Surat
    3344. Neha Shah, LJ Institute of Management Studies, Ahmedabad
    3345. Chakradhar rao, Professor, Hyderabad
    3346. Jayanti Devirion
    3347. Rama Saptarshi
    3348. Praveen Saptarshi
    3349. Palash Sarkar, Indian Statistical Institute, Kolkata
    3350. Pushpendra, Professor, TISS Patna
    3351. Oeendrila Lahiri, University of Melbourne
    3352. Sanjeev Kumar Danda, Dalit Adivasi Shakti Adhikar Manch (DASAM)
    3353. Rasika Ajotikar, University of Göttingen
    3354. Madeleine Thien, Professor, City University of New York
    3355. Arpita Singh
    3356. Anjum Singh
    3357. Paramjit Singh
    THIS IS NOT A PAPER PRINTED HARD COPY WITH SIGNATURES..

    SIDHARTH VARADARAJAN IS A PAKISTANI ISI SPONSORED TRAITOR.

    THE PAKISTANI ISI CYBER TROLL ARMY ARE ADDING FAKE HINDU NAMES VIA GOOGLE.


    BRAAAAAAYYYYYYYYYYYYY











    PEOPLE WHO KNOW CAPT AJIT VADAKAYIL WILL VOUCH



    THAT THE INTELLECT AND INTEGRITY OF THIS BUNCH OF 3358 COMBINED –  CAN BE FITTED UNDER THE FORESKIN OF HIS UNCIRCUMCISED PRICK, WITH ROOM FOR 99.999 % MORE..

    THIS LIST IS SUCH A WINDFALL--  A VERITABLE BLESSING IN DISGUISE,    WE KNOW THAT MOST ARE / WERE IN FOREIGN PAYROLL

    ALL FRIENDS ( 3358 PEOPLE) OF TRAITOR SIDHARTH VARADARAJAN AND HIS URBAN NAXAL WIFE ( BOTH PAKISTANI ISI DARLINGS ) — LISTEN UP..

    YOU HAVE BEEN PROFILED..

    WE KNOW THE ONES AMONG YOU, WHO ARE—
    1) TRAITORS IN DEEP STATE PAYROLL…
    2) HAVING THE TACIT BACKING OF JUDGES IN DEEP STATE PAYROLL…
    3) WHO ARE RABIDLY ANTI-HINDU AND ANTI-INDIAN , IN AS MUCH AS YOU THROW UP IF SOMEONE PRAISED OUR PAST GLORY..

    IPC SECTION 121 WILL NOT BE USED AGAINST YOU.. YOU WILL BE DEALT WITH THE WAY ALL NATIONS DEAL WITH TRAITORS WHO HAVE SOLD THEIR SOULS FOR A PIECE OF FOREIGN SILVER..

    BHARATMATA WAS IN CHAINS FOR 800 YEARS BECAUSE OF PEOPLE LIKE YOU..

    https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

    ENOUGH RESEARCH HAS BEEN DONE BY MY PAKISTANI OFFICERS ABOUT SIDDHART H VARADARAJANs ACTIVITIES IN PAKISTAN ( WITH HIDDEN CAM )..

    capt ajit vadakayil
    ..
    1. PUT ABOVE COMMENT IN WEBSITES OF -

      SEND ABOVE MESSAGE TO ALL 3358 PEOPLE IN THE LIST BELOW--

      https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu.html

      PMO
      PM MODI
      EVERY MP OF INDIA
      EVERY MLA OF INDIA
      EVERY COLLECTOR OF INDIA
      DEFENCE MINISTER/ MINISTRY
      ALL 3 ARMED FORCE CHIEF
      CDS
      AMIT SHAH
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      ALL DGPs OF INDIA
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      VP OF INDIA
      SPEAKER LOK SABHA
      SPEAKER RAJYA SABHA
      ALL INDIAN THINK TANKS
      NITI AYOG
      AMITABH KANT
      SPREAD ON SOCIAL MEDIA

      Capt ajit vadakayil
      ..


    CHIEF OF NAVAL STAFF ADMIRAL RAMDAS AND ADMIRAL VISHNU BHAGAWAT WERE KNOWN TRAITORS..

    ADMIRAL VISHNU BHAGWAT WAS DISMISSED AT CHIEF OF NAVAL STAFF-- THERE IS NO GREATER DISGRACE THAT THIS..

    WE ALL KNOW THE DESH DROHI RAMDAS FAMILY.. HIS WIFE LALITA ( GREEPEACE ) AND HIS DAUGHTER OF FORD FOUNDATION ( WHO MARRIED A PAKISTANI )

    https://www.youtube.com/watch?v=sWnjUtZE-IM

    WHEN ADMIRAL RAMDAS WAS CHIEF OF NAVAL STAFF, OUR NUCLEAR SECRETS WERE KEPT AWAY FROM HIM BY A CORE BUNCH OF DESH BHAKTS ..

    capt ajit vadakayil
    ..


    COMMON SENSE-    WHEN 3500 PEOPLE OF INDIA SUPPORTS TRAITOR SIDDHARTH VARADARAJAN , WHAT IS MEANS IS THAT THE REST OF THE 1350 MILLION INDIANS DO NOT SUPPORT HIM. 

    THE COLLEGIUM JUDGES IN DEEP STATE PAYROLL HAVE NOT DARED TO SIGN .. BUT WE KNOW WHO THEY ARE ..



    1. Captainji ,

      sorry to comment here, but here is the list of signitories against CAA, all from ACADEMIA ,leftists.

      PLS Add them in this list. There may be scientists working in nuclear tech. God save our missile secrets.

      https://thewire.in/education/vijay-chauthaiwale-iiser-pune-mohali-iit-jnu-jamia-milia-aligarh-anti-caa-letter

      TIFR is becoming JNU.
      They are trying to make science and tech institutions like JNU.

      https://www.pgurus.com/the-far-left-ideology-of-tifr-a-la-nambi-narayanan-story/

      Thankyou sir

      1. OUR IITs WERE DESIGNED AS PURELY TECHNICAL SCHOOLS..

        BUT DEEP STATE PAYROLL MINISTERS AND BABUS IN THE EDUCATIONAL MINISTRY CAUED SOCIAL SCIENCES DEPTS TO BE ADDED..

        WHAT DO THEY TEACH?

        ROTHSCHILD COMMUNISM- WITH PROPAGANDA THAT ARL MARX IS THIS PLANETs GREATEST THINKER

        ROTHSCHILDs BLOOD RELATIVE GERMAN JEW KARL MARX IS A MORON OF THE FIRST ORDER..

        HIS DAS KAPITAL IS A MINDLESS WORK..
        DAS CAPITAL VOLUMES RUN INTO 3000 PAGES..



        CAPT AJIT VADAKAYIL HAS USED MORE PAGES TO DEBUNK IT..
        READ ALL 9 PARTS OF THE POST BELOW--

        https://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx.html

        STOP SOCIAL SCIENCES IN IITs..



        JAIL ALL DEEP STATE PAYROLL PROFESSORS ( TREASON ) IN SOCIAL SCIENCES DEPTS IF JNU/ TISS/ DU/ JU / BRENNAN COLLEGE..



        BURN EVERY COMMIE BOOK IN LIBRARIES OF BRENNAN COLLEGE AND JNU..


        STOP RETIREMENT PERKS OF ADMIRALS LN RAMDAS AND VISHNU BHAGWAT..

        capt ajit vadakayil
        ..
    Captain jee,

    Got this as one of the reply from DISTRICT MAGISTRATE & COLLECTOR
    HOWRAH

    ###########
    SIR

    PLEASE DO NOT WASTE OUR TIME AND ALSO YOURS BY SENDING SUCH TYPES OF EMAILS.

    Y/F

    [PROSENJIT PODDAR]
    PERSONAL ASSISTANT TO
    DISTRICT MAGISTRATE & COLLECTOR
    HOWRAH
    033-2638-1826 (PA-DIRECT) / 033-2641-2024 / 2961 (TEL) / 033-2641-3367 /
    0029 (FAX) / INTCOM - 202 / 8017101208 / EMAIL ID dmhowrahwb@gmail.com /
    dm-how-wb@nic.in


    1. https://twitter.com/Satyanewshi/status/1250647580117053440

      DISMISS THE MAMATA GOVT IN WEST BENGAL..
      MOST OF HER TEAM ARE ANTI-NATIONALS..

      CHARGE MAMATA WITH TREASON..

      capt ajit vadakayil
      ..
      .
      1. PUT ABOVE COMMENT IN WEBSITES OF—
        PMO
        PM MODI
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEF
        CDS
        AMIT SHAH
        HOME MINISTRY CENTRE/ STATES
        CJI BOBDE
        ATTORNEY GENERAL
        LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
        I&B MINISTER / MINISTRY
        NSA
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        RAW
        IB
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        ED
        ALL DGPs OF INDIA
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        ALL INDIAN THINK TANKS
        NITI AYOG
        AMITABH KANT




    1. https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_87.html

      RAZIMAN TV --A STUDENT IN NETHERLANDS --FROM CALICUT IS 1797 ..

      THIS FELLOW IS A BIGGER TRAITOR THAN SWEDISH PROFESSOR ASHOK SWAIN.. HE GETS TERRIBLY UPSET IF SOMEONE PRAISES INDIA AND HINDUISM....
      ADAM D ANGELO OF QUORA HAS CHOSEN RAZIMAN TV TO RUN DOWN CAPT AJIT VADAKAYIL.. ANCIENT INDIA AND HINDUISM..

      THE WORD "VADAKAYIL" IS BANNED BY TWITTER / FACEBOOK/ QUORA... ANYBODY USING THIS WORD IS BANNED..

      THE WORD "RAZIMAN TV" IS SPONSORED BY TWITTER/ FACEBOOK/ QUORA..

      capt ajit vadakayil
      ..

      PUT ABOVE COMMENT IN WEBSITES OF—
      AMBASSADORS TO FROM NETHERLANDS
      MINISTER/ MINISTRY EXTERNAL AFFAIRS
      PMO
      PM MODI
      EVERY MP OF INDIA
      EVERY MLA OF INDIA
      EVERY COLLECTOR OF INDIA
      NCERT
      EDUCATION MINISTER/ MINISTRY
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      AMITABH KANT
      MOHANDAS PAI
      RAJEEV CHANDRASHEKHAR
      E SREEDHARAN
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      PINARAYI VIJAYAN
      GVL NARASIMHA RAO
      SAMBIT PATRA
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      MEENAKSHI LEKHI
      SMRITI IRANI
      PRASOON JOSHI
      SWAPAN DASGUPTA
      MADHU KISHWAR
      SUDHIR CHAUDHARY
      GEN GD BAKSHI
      RSN SINGH
      ARNAB GOSWAMI


    1. https://history.mit.edu/people/sana-aiyar

      SANA IS THE DAUGHTER OF PAKISTANI ISI DARLING MANI SHANKAR AIYAR..

      CAPT AJIT VADAKAYIL ASKS SANA AIYAR.. TEACH TRUE HISTORY .. I HAVE NEGATIVE FEED BACK FROM YOUR STUDENTS ..

      SANA, FIRST FIND OUT WHO YOU ARE..

      http://ajitvadakayil.blogspot.com/2019/06/ramanuja-varadharaja-perumal-temple.html

      capt ajit vadakayil
      ..

      PUT ABOVE COMMENT IN WEBSITES OF--
      SLIMY MANI
      SANA
      MINISTER/ MINISTRY EXTERNAL AFFAIRS
      PMO
      PM MODI
      EVERY MP OF INDIA
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      NCERT
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      SWAPAN DASGUPTA
      MADHU KISHWAR
      SUDHIR CHAUDHARY
      GEN GD BAKSHI
      RSN SINGH
      ARNAB GOSWAMI



    1. https://twitter.com/LadyVelvet_HFQ/status/1251835506062766080

      WE ASK THIS UPPITY PRINCESS...

      HAVE YOU HEARD OF LAWRENCE OF ARABIA, WHO CONVERTED THE ENTIRE ROYAL BLOODLINE OF THE MIDDLE EAST KINGDOMS TO JEWISH ?..

      HEY PRINCESS, DO YOU KNOW YOUR OWN DNA?

      DO YOU KNOW THAT THE LAST 70% OTTOMAN EMPERORS WERE JEWS..

      DO YOU KNOW THAT ALL MOGHUL EMPERORS IN INDIA AFTER HUMAYUN WERE JEWS..

      DO YOU KNOW THAT ALMOST ALL ISLAMIC KINGDOMS IN 1947 BEFORE INDIA BECAME INDEPENDENT WERE RULED BY JEWS?

      DO YOU KNOW THAT ALMOST ALL INDIAN NATIONAL CONGRESS PARTY MUSLIM MEMBERS IN 1947 WERE JEWS..

      https://www.siasat.com/uae-princess-takes-strong-stand-against-racist-comment-1875200/

      HEY PRINCESS, DO YOU KNOW THAT ALL MIDDLE EAST PEOPLE SURVIVED ON THE CALICUT KINGs LARGESSE AS SPICE MIDDLEMEN FROM ANTIQUITY ?..

      http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html

      DO YOU KNOW THE ORIGINS OF ISLAM?

      http://ajitvadakayil.blogspot.com/2009/07/vedic-practises-in-mecca-ajit-vadakayil.html

      BULLYING AND THREATENING IS IN YOUR BLOOD, RIGHT?

      DO YOU REALLY KNOW WHO JEW GANDHI IS?

      http://ajitvadakayil.blogspot.com/2020/01/the-father-of-our-nation-is-chanakya.html

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF-
        PRINCESS HEND ALL QASSIMI
        DONALD TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        PRESIDENT OF KOREA –NORTH AND SOUTH
        CAMBODIAN PM
        PM OF JAPAN
        AMBASSADORS TO FROM USA/ RUSSIA/ FRANCE/ GERMANY/ UK/ BOTH KOREAS / JAPAN/ CAMBODIA
        GLOBAL TIMES EDITOR
        ASHOK SWAIN
        PALLAVI PUNDIR
        RAZIMAN TV
        SAFOORA ZARGAR
        ARFA KHANUM SHERWANI
        MANI SHANKAR AIYAR
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        SWAPAN DASGUPTA
        MADHU KISHWAR
        SUDHIR CHAUDHARY
        GEN GD BAKSHI
        RSN SINGH
        ARNAB GOSWAMI
        NAVIKA KUMAR
        ANAND NARASIMHAN
        RAJDEEP SARDESAI
        SRINIVASAN JAIN
        SONAL MEHROTRA KAPOOR
        VIKRAM CHANDRA
        NIDHI RAZDAN
        FAYE DSOUZA
        ZAKKA JACOB
        RAHUL ANWAL
        RAVISH KUMAR
        PRANNOY JAMES ROY
        AROON PURIE
        VINEET JAIN
        RAGHAV BAHL
        SEEMA CHISTI
        DILEEP PADGOANKAR
        VIR SANGHVI
        KARAN THAPAR
        PRITISH NANDI
        SHEKHAR GUPTA
        SIDHARTH VARADARAJAN
        PAVAN VARMA
        RAMACHANDRA GUHA
        THAMBI SUNDAR PICHAI
        SATYA NADELLA
        CEO OF WIKIPEDIA
        QUORA CEO ANGELO D ADAMS
        QUORA MODERATION TEAM
        KURT OF QUORA
        GAUTAM SHEWAKRAMANI
        SWAMY
        RAJIV MALHOTRA
        P GURUS
        RSS
        AVBP
        VHP
        MOHAN BHAGWAT
        RAM MADHAV
        MOHANLAL
        SURESH GOPI
        NALIN KOHLI.
        UDDHAV THACKREY
        RAJ THACKREY
        CHANDAN MITRA
        SADGURU JAGGI VASUDEV
        BABA RAMDEV
        SRI SRI RAVISHANKAR
        ADMIRAL RAMDAS , HIS WIFE AND HIS DAUGHTER
        ADMIRAL VISHNU BHAGAT
        CHETAN BHAGAT
        ZOYA HASAN
        THE QUINT
        THE SCROLL
        THE WIRE
        THE PRINT
        MK VENU
        VINOD DUA
        MADHU TREHAN
        SANJAY HEDGE
        SHOBHAA DE
        ARUNDHATI ROY
        MADHU TREHAN
        JAIRAM RAMESH
        SHASHI THAROOR
        KAPIL SIBAL
        ABHI SEX MAANGTHA SINGVI
        TEHSEEN POONAWAALA
        SHEHZAD POONAWALA
        SANJAY JHA
        RANDIP SURJEWALA
        JEAN DREZE
        JEAN DREZE
        HARSH MANDER
        DIG VIJAY SINGH
        JULIO RIBEIRO
        SUHEL SETH
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        SALMAN KHURSHEED
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        ALL HINDU STALWARTS AND ORGS
        MAMMOTTY
        DULQER SALMAN
        SWAMYs BULLSHIT VIRAATS SENA
        JOHN BRITTAS
        THOMAS ISAAC
        ASADUDDIN OWAISI
        FAZAL GHAFOOR
        ROMILA THAPAR
        IRFAN HABIB
        NIVEDITA MENON
        AYESHA KIDWAI
        KUNHALIKUTTY
        ABHIJIT BANNERJEE
        RAGHURAM RAJAN
        JAYATI GHOSH
        ALEX JONES
        RENSE
        HISTORY CHANNEL
        DAVID HATCHER CHILDRESS

        SPREAD ON SOCIAL MEDIA


        PUT A SCREENSHOT IN WEBSITES OF ALL HARDCORE INDIAN FOLLOWERS OF THIS PRINCESS

















































    1. ALL KNOW THAT CAPT AJIT VADAKAYIL WAS THE FIRST TO WRITE THAT ASYMPTOMATIC TESTS FOR CORONAVIRUS MUST BE DONE WITH GOLD NANO COLLOIDS..

      OUR CURRENT COVID-19 PANDEMIC IS NOT LIKE THE PAST FLU PANDEMICS.. HERE 55% OF PEOPLE CARRY VIRUS WITHIN THEM , WITHOUT SHOWING SYMPTOMS.. THESE PEOPLE CAN INFECT THE WHOLE PLANET..

      EVER HEARD OF TYPHOID MARY?


      THIS IS WHY WE NEED TO KICK START TESTING FOR ASYMPTOMATIC PATIENTS USING THE GOLD NANO PARTICLE TEST METHOD.. I HAVE WRITTEN ABOUT IT AGAIN AND AGAIN AND AGAIN

      WHAT IS WHO AND CDC WORTH? THESE ORGS ARE SLAVES OF KOSHER EVIL PHARMA WHO WANT TO MILK THE PANDEMIC..

      INDIA MUST IMMEDIATELY DEVELOP LATERAL FLOW IMMUNOASSAY TESTS – ANTIBODY TESTS – FOR USE AS RAPID DIAGNOSTIC TOOLS FOR THE NOVEL CORONAVIRUS DISEASE, COVID-19. DO NOT GO ON A WILD GOOSE CHASE ..

      BHARATMATA IS BLEEDING , AND STUPID DOCTORS ( USING PUSH AND PULL ) COME ON TV PAYING MONEY FOR PERSONAL FAME.


      THE ANTIBODY TESTS USE GOLD NANOPARTICLES IN THE TEST STRIP THAT DETECT COVID-19 BIOMARKERS, IGG AND IGM, WHICH ARE RELEASED ON INTERACTION WITH ANTIBODIES EMBEDDED IN THE STRIP.

      BLOOD EMANATING FROM A A FINGER-PRICK MOVES ALONG THE STRIP THE BIOMARKERS COME INTO CONTACT WITH THE ANTIBODIES AND ILLICIT A COLOUR CHANGE, VISIBLE IN A TEST LINE, IN MUCH THE SAME WAY AS YOU WOULD SEE IN A PREGNANCY TEST.

      BOTH IGM, A GENERALIZED INFECTION BIOMARKER, AND IGG, A MORE SPECIFIC SARS-COV-2 BIOMARKER CAN BE DONE WITH GREAT ACCURACY.. WITHIN 10 MINUTES.

      THE ANTIBODY TESTS ARE ABLE TO DETECT INFECTION WHERE THE PATIENTS MAY BE ASYMPTOMATIC OR WHERE CURRENTLY USED PCR TESTS MAY GIVE FALSE-NEGATIVE RESULTS.

      HAVING SUCH ACCURATE AND RAPID TESTS COULD HELP ENORMOUSLY IN PREVENTING THE SPREAD OF INFECTION WITH SARS-COV-2 AS EARLIER DETECTION AND ISOLATION WILL REDUCE THE RISK OF PASSING ON THE VIRUS.

      AGAIN, THE ANTIBODY TESTS ARE ABLE TO DETECT INFECTION WHERE THE PATIENTS MAY BE ASYMPTOMATIC OR WHERE CURRENTLY USED PCR TESTS MAY GIVE FALSE-NEGATIVE RESULTS.

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      capt ajit vadakayil
      ..
      1. PUT ABOVE COMMENT IN WEBSITES OF—
        IMA
        WHO
        WHO CHIEF
        CDC
        CDC CHIEF
        TRUMP
        PUTIN
        BORIS JOHNSON
        MACRON
        ANGELA MERKEL
        XI
        AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRANCE/ GERMANY/ CHINA
        GLOBAL TIMES EDITOR HU XIJIN
        UN
        UN CHIEF
        PMO
        PM MODI
        EVERY MP OF INDIA
        EVERY MLA OF INDIA
        EVERY COLLECTOR OF INDIA
        NCERT
        EDUCATION MINISTER/ MINISTRY
        DEFENCE MINISTER/ MINISTRY
        ALL 3 ARMED FORCE CHIEF
        CDS
        AMIT SHAH
        HOME MINISTRY CENTRE/ STATES
        CJI BOBDE
        ATTORNEY GENERAL
        LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
        ALL CHIEF JUSTICES HIGH COURTS
        I&B MINISTER / MINISTRY
        NSA
        AJIT DOVAL
        RAW
        IB
        CBI
        NIA
        ED
        ALL DGPs OF INDIA
        ALL IGs OF INDIA
        ALL CMs OF INDIA
        ALL STATE GOVERNORS
        PRESIDENT OF INDIA
        VP OF INDIA
        SPEAKER LOK SABHA
        SPEAKER RAJYA SABHA
        ALL INDIAN THINK TANKS
        NITI AYOG
        AMITABH KANT

    1. ONCE A CORONAVIRUS PATIENT IS PUT ON VENTILATOR LIFE SUPPORT IN A HOSPITAL WHERE EXCESS OXYGEN IS FORCED INTO YOUR LUNGS YOU CAN KISS YOUR BLESSED ASS GOODBYE.

      THE AIR WE USUALLY BREATHE CONTAINS 21% OF OXYGEN AND 78% NITROGEN.. IT IS NOT WISE TO GIVE 100% FORCED OXYGEN FOR LONG DURATION EVEN TO HEALTHY MEN .

      HIGH OXYGEN LEVELS ( WITHOUT NITROGEN CONTENT OF ATMOSPHERE ) PROMPT ENDOTHELIAL CELLS THAT LINE BLOOD VESSELS AND TINY AIRS SACS IN THE LUNG TO MAKE MORE NITRIC OXIDE ( GOOD ) , THE PRECURSOR OF PEROXYNITRITE ( VERY BAD )

      PEROXYNITRITE, AN OXIDANT POWERFUL ENOUGH TO BREAK DOWN DNA AND CAUSE PROTEINS TO MALFUNCTION,

      PEROXYNITRITE IS A POWERFUL OXIDANT EXHIBITING A WIDE ARRAY OF TISSUE DAMAGING EFFECTS, INCLUDING LIPID PEROXIDATION, INACTIVATION OF ENZYMES AND ION CHANNELS VIA PROTEIN OXIDATION AND NITRATION, AND INHIBITION OF MITOCHONDRIAL RESPIRATION

      PUMPING IN TOO MUCH OXYGEN TOO QUICKLY CAN STRIP THE MOLECULE OF A SINGLE ELECTRON, CREATING A FREE RADICAL. FREE RADICALS, LINKED TO RAPID AGING, ARE HIGHLY REACTIVE WITH OTHER MOLECULES, INCLUDING VITAL DNA AND PROTEINS, THE DESTRUCTION OF WHICH CAN DAMAGE OR KILL CELLS

      PEROXYNITRITE AND EXCESS OXYGEN FREE RADICALS CAN BE GENERATED FROM SEVERE CELLULAR DAMAGE AND CAN CROSS THE BLOOD-BRAIN BARRIER AS LIPID-SOLUBLE PRODUCTS TO ACCUMULATE WITHIN NEURONAL TISSUE. THIS CAUSES LOSS OF SENSE OF SMELL AND TASTE .. THIS HAS NOT BEEN INVESTIGATED BY WHO

      JUST BECAUSE THE DOCTOR HAS A SPARE VENTILATOR IT MUST NOT BE IMPOSED ON THE PATIENT WHO HAS NOT SUFFERED FROM LUNG COLLAPSE AD IS BREATING ON HIS OWN..

      BOTTOMLINE: MOST CORONAVIRUS PATIENTS WHO END UP ON VENTILATORS DISHING OUT 100% OXYGEN GO ON TO DIE.     THEY WOULD NOT HAVE DIED IF THEY WERE NOT PUT ON THE VENTILATOR

      https://ajitvadakayil.blogspot.com/2020/04/to-prevent-presymptomatic-and.html

      capt ajit vadakayil
      ..


      PUT ABOVE COMMENT IN WEBSITES OF—
      IMA
      WHO
      WHO CHIEF
      US CDC
      CDC CHIEF
      UN
      UN CHIEF
      TRUMP
      PUTIN
      BORIS JOHNSON
      FRANCE
      GERMANY
      AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRANCE GERMANCY
      PM MODI
      PMO
      HEALTH MINISTER MINISTRY CENTRE AND STATES
      DEFENCE MINISTER/ MINISTRY
      ALL 3 ARMED FORCE CHIEF
      CDS
      AMIT SHAH
      HOME MINISTRY CENTRE/ STATES
      CJI BOBDE
      ATTORNEY GENERAL
      LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
      ALL CHIEF JUSTICES HIGH COURTS
      I&B MINISTER / MINISTRY
      NSA
      AJIT DOVAL
      RAW
      IB
      CBI
      NIA
      ED
      ALL DGPs OF INDIA
      ALL IGs OF INDIA
      ALL CMs OF INDIA
      ALL STATE GOVERNORS
      PRESIDENT OF INDIA
      VP OF INDIA
      SPEAKER LOK SABHA
      SPEAKER RAJYA SABHA
      ALL INDIAN THINK TANKS
      NITI AYOG
      AMITABH KANT


    BELOW:  FOOLING THE MUSLIM PEOPLE WITH HYPERVENTILATION .. 

    THE RESULT IS NOT "ALLAH EFFECT"  , IT IS CONMAN EFFECT..




    COMMENTS MADE IN THIS POST WILL NOT BE PUBLISHED

    MAKE FURTHER COMMENTS IN THE POST BELOW--

    https://ajitvadakayil.blogspot.com/2020/04/who-is-captain-ajit-vadakayil-part-5.html


    THIS POST IS NOW CONTINUED TO PART 3 BELOW--

    https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_16.html




    CAPT AJIT VADAKAYIL
    ..

    DATABASE OF ANTI-WATAN , ANTI-HINDU INDIANS ON THE INTERNET. Part 3 -- CAPT AJIT VADAKAYIL

    $
    0
    0

    THIS POST IS CONTINUED FROM PART 2, BELOW--


    https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu.html



    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY JEWSH DEEP STATE PAYROLL LIAR ASHOK SWAIN ( PROFESSOR IN SWEDEN ) .. 

    ASHOK SWAIN  RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN?--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES ..   ALONG WITH SOME INDIAN COMMIES/ NAXALITES..


    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE UNDERDEVELOPED NATIONS..


    IN COMPARISON TO INDIAs 0.3  ( WE HAVE 1350 MILLION PEOPLE ) ,  SWEDEN IS 132..

    SPAIN/ 409
    BELGIUM/ 419
    ITALY / 358
    FRANCE / 263
    UK/ 202
    USA/ 87

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION.. BY TRAITORS LIKE ASHOK SWAIN..

    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES/ DISFUNCTIONAL FAMILY/ PARENTS DISCARDED IN OLD AGE HOMES  / MENTAL PROBEMS/  CRIPPLES/  SERIOUS DISEASES /  INFERTILITY / LACK OF RESPECT FOR WOMEN – PARENTS / HUNGER /  DEBT PER CAPITA ETC ETC..

    I HAVE SEEN THIS PLANET FOR 40 YEARS..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..


    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil

    ..




    https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html



    DONALD TRUMP

    LISTEN UP

    AND LISTEN GOOD

    PROFILE THESE DEEP STATE CONTROLLED NEOCON STUDENTS , AND CONSIDER THEIR FUTURE VISA REQUESTS / GREEN CARD REQUESTS ACCORDINGLY.

    NSA/ HOME MINISTRY, DO NOT EMPLOY THESE DEEP STATE SPONSORED STUDENTS IN GOVT JOBS..  IF THEY GET PRIVATE JOBS IN INDIA PROFILE THEM DYNAMICALLY 















    https://timesofindia.indiatimes.com/india/national-lockdown-we-took-away-the-rights-of-migrants-to-stay-with-their-families-says-kannan-gopinathan/articleshow/75175907.cms

    WE KNOW THE DEEP STATE PAYROLL JUDGES ( AND THEY LACKEY MEDIA ) WHO SUPPORT THIS TRAITOR



    OUR IITs WERE DESIGNED AS PURELY TECHNICAL SCHOOLS..

    BUT DEEP STATE PAYROLL MINISTERS AND BABUS IN THE EDUCATIONAL MINISTRY CAUED SOCIAL SCIENCES DEPTS TO BE ADDED..

    WHAT DO THEY TEACH?

    ROTHSCHILD COMMUNISM- WITH PROPAGANDA THAT ARL MARX IS THIS PLANETs GREATEST THINKER

    ROTHSCHILDs BLOOD RELATIVE GERMAN JEW KARL MARX IS A MORON OF THE FIRST ORDER..

    HIS DAS KAPITAL IS A MINDLESS WORK..
    DAS CAPITAL VOLUMES RUN INTO 3000 PAGES..



    CAPT AJIT VADAKAYIL HAS USED MORE PAGES TO DEBUNK IT..
    READ ALL 9 PARTS OF THE POST BELOW--

    https://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx.html

    STOP SOCIAL SCIENCES IN IITs..



    JAIL ALL DEEP STATE PAYROLL PROFESSORS ( TREASON ) IN SOCIAL SCIENCES DEPTS IF JNU/ TISS/ DU/ JU / BRENNAN COLLEGE..



    BURN EVERY COMMIE BOOK IN LIBRARIES OF BRENNAN COLLEGE AND JNU..


    STOP RETIREMENT PERKS OF ADMIRALS LN RAMDAS AND VISHNU BHAGWAT..

    capt ajit vadakayil
    ..


    1. TODAY—

      TRAITORS ARE BEING FLUSHED DOWN THE SHIT HOLE... ASHOK SWAIN, KAVITA KRISHNAN, TEESTA SETALVAD , PRASHANT BHUSHAN


      GARBAGE BUCKET LIST:

      1) BERTRAND RUSSEL
      2 NOAM CHOMSKY
      3 SIGMUND FREUD
      4) GEORG WILHELM HEGEL
      5) AMARTYA SEN
      6) FREIDRICH WILHELM NIETZSCHE
      7) IMMANUEL KANT
      8 ) BARUCH SPINOZA
      9) ALBERT EINSTEIN
      10) ISAAC NEWTON
      11) GUGLEILMO MARCONI
      12) CHARLES DARWIN
      13) KARL MARX
      14) MAX WEBER
      15) THOMAS ALVA EDISON
      16) FIBONACCI
      17) EDWARD BERNAYS
      18) JOHN DEWEY
      19) GEORGE IVANOVICH GURDJEIFF
      20 PETER D OUPENSKY
      21) OPRAH WINFREY
      22) RICHARD BANDLER AND JOHN GRINDER
      23) CHRISTIANE AMANPOUR
      24) STEPHEN HAWKING
      25) SIDNEY HOOK
      26) ALFRED KINSEY
      27) BARACK OBAMA
      28) AYN RAND
      29) WILHELM WUNDT
      30) RENE DESCARTES.
      31) EMPRESS HELENA
      32) RAYMOND IV
      33) SAINT MOTHER TERESA
      34) LENIN
      35) ENGELS
      38) ADAM SMITH

      ########################

      BBB ) HERE ARE PEOPLE WHO MADE A DENT IN THE UNIVERSE— THEY GET THE "VADAKAYIL PRIZE". THIS IS NOT A VESTED “NOBEL PRIZE “

      1) NIKOLA TESLA
      2) DIMITRI MENDELEYEEV
      3) IE IRODOV
      4) ARYABHATTA ( 2700 BC)
      5) SRINIVASAN RAMANUJAN
      6) CHANAKYA ( 372 BC )
      7) ADI SHANKARACHARYA ( 2000 BC )
      8) APOLLONIUS OF TYANA ( KERALA SAGE WHOSE LEGACY WAS USURPED BY COOKED UP JESUS IN 325 AD )
      9) "JOHN DOE"
      10) JULIAN ASSANGE
      11) SWAMI CHINMAYANANDA
      12) GARY STEPHEN WEBB
      13) GEORGE ORWELL.
      13) CESAR MILLAN
      14) HENRY FORD.
      15) PANINI ( 5500 BC )
      16) BHARTRHARI ( 7000 BC )
      17) PATANJALI ( 5000 BC )
      18) MANU (8300 BC)
      19) YASKA ( 5800 BC )
      20) JOHN CARMAC
      21) QUEEN DIDO ( 1600 BC )
      22) KANADA MUNI ( 6500 BC )
      23) VARAHAMIHIRA ( 2660 BC )
      24) VARARUCHI ( 2830 BC )
      25) VIROCHANA ( 10, 650 BC )
      26) MAHABALI ( 10,600 BC )
      27) KALANAMI ( 10500 BC )
      28) IMHOTEP / AYYAPPA ( 3900 BC )
      29) PROF HYPATIA
      30) SWARBANU
      31) PUTIN
      32) EDWARD SNOWDEN
      33) LI WENLIANG

      CCC) DOWN THE SHIT HOLE----

      1) SUHEL SETH
      2) PRITISH NANDI
      3) DILIP CHERIAN
      4) PRANNOY JAMES ROY
      5) AROON PURIE
      6) VINEET JAIN
      7) SHEKHAR GUPTA
      8) SAGARIKA GHOSE AND HUSBAND RAJDEEP SARDESAI
      9) SHOBHAA DE
      10) SIDHARTH VARADARAJAN AND WIFE NANDINI SUNDAR
      11) KAMALHAASAN
      12) AUDREY TRUSCHKE
      13) NOSTRODAMUS
      14) MANI SHANKAR AIYAR
      15) VERGHESE KURIEN
      16) MS SWAMINATHAN
      17) DEVDUTT PATTANAIK
      18) SANJAY R HEGDE
      19) MARK ZUCKERBERG
      20) JACK DORSEY
      21) THOMAS L FRIEDMAN
      22) ROMILA THAPAR
      23) IRFAN HABIB
      24) RAMCHANDRA GUHA
      25) SHELDON POLLOCK
      26) WENDY DONIGER
      27) BARKHA DUTT
      28) ADMIRAL LN RAMDAS , WIFE LALITA AND DAUGHTER KAVITA.
      29) SWARA BHASKAR
      30) KARAN THAPAR
      31) ADAM D ANGELO
      32) SAINT CRYIL ARCHBISHOP OF ALEXANDRIA
      33) N RAM
      34) GRETA THUNBERG
      35) MK GANDHI
      36) SONIA GANDHI
      37) TED KACZYNSKI
      38) ZOYA HASAN
      39) ASHOK SWAIN
      40) KAVITA KRISHNAN
      41) TEESTA SETALVAD
      42) PRASHANT BHUSHAN

      Capt ajit vadakayil
      ..

    THIS IS NOT A PAPER PRINTED HARD COPY WITH SIGNATURES..

    SIDHARTH VARADARAJAN IS A PAKISTANI ISI SPONSORED TRAITOR.

    THE PAKISTANI ISI CYBER TROLL ARMY ARE ADDING FAKE HINDU NAMES VIA GOOGLE.


    BRAAAAAAYYYYYYYYYYYYY





    Statement Condemning Recent Police Brutality in Indian Universities
    We, students, alumni and the wider community, at universities across the United States of America, condemn the brutal police violence unleashed against students at Jamia Millia Islamia University and at Aligarh Muslim University on December 15, 2019 as a gross violation of human rights under the Constitution of India and International Human Rights Law. We express full solidarity with students across universities in India who are peacefully protesting against the recent passing of the unconstitutional and discriminatory Citizenship Amendment Act.
    The right to protest is a cornerstone of a constitutional democracy and is safeguarded as a fundamental right under Articles 19(1)(a) and 19(1)(b) of the Constitution of India. The right of all people to express their ideas and opinions through the medium of protest is also guaranteed through a number of core international human rights provisions, including the right to free expression under Article 19 of the ICCPR, which has been ratified by India.
    Reports and accounts by journalists, students, lawyers, and activists (including credible information shared online) reveal horrific and excessive use of force by police and paramilitary against students. Any use of force by law enforcement must be within the strict confines of the principles of legality, legitimacy, necessity and proportionality under International Human Rights Law.
    By every account, it appears that police and paramilitary, both at Jamia Milia Islamia University, and at Aligarh Muslim University, have used violence and pursued unlawful and reckless tactics against student protestors in violation of protections under the Constitution of India and International Human Rights law. The entry of police and paramilitary into University premises, indiscriminate attacks within the premises of the University including releasing tear gas in libraries, and brutal use of force against civilians is a blatant violation of the law and can only shock the conscience of any democratic society. Students have narrated that police rampaged through hostels and molested women on these campuses. Students from Jamia Milia Islamia were arbitrarily detained at police stations, and were denied their constitutional right to access legal representation. These incidents of violence indicate complete negation of every norm that guide the functioning of the police in a democratic society governed by the rule of law. Seen further in the light of the fact that most victims of this brutality were Muslim, these incidents stand out as shocking instantiations of targeted violence against a minority group.
    We also condemn the use of violence against protestors in Assam where five people have died, including two minor boys who were shot by the police. This combined with the unlawful denial of access to the internet in the state, has completely blocked news reports of events on the ground, including the ability of the protestors to represent their demands and report unlawful police action.
    We are deeply concerned about the statement of the Hon’ble Chief Justice of India terming these protests as ‘riots’ and characterising this situation as simply one for the police to handle as a law and order problem, without recognising the violation of the rights of protestors, and especially the degree of violence unleashed on them.
    We realize that our condemnation in this form can offer little succour to our fellow students who had to face the violence, and neither does it meaningfully resist the onslaught against constitutional norms. Nevertheless, in deep solidarity with our fellow students;
    • We demand cessation of violence by the police and their complete withdrawal from the university premises.
    • We demand an immediate, independent, and robust investigation into the abuse of power by the Delhi Police, Uttar Pradesh Police, and the Central Reserve Police Force.
    • We demand that student protestors be allowed to continue to protest peacefully in exercise of their fundamental rights under the Indian Constitution without any threat of use of force by the police or other law enforcement agencies.
    • We call upon officers of the Indian Police and Administrative Services to fulfill their duty to uphold the Constitution of India, and to resist any political demand to act in abuse of the powers that have been conferred upon them; and, to ensure police forces under their command act strictly in accordance with the constitutional, legal and ethical constraints that bind them.
    • We call on the Minister of Home Affairs, Mr. Amit Shah, to immediately take these necessary steps to curb police brutality, or resign. 
    This statement can be signed by clicking the link here: https://forms.gle/rY9DywneBo9PbsGGA
     Signed by:
    Sannoy DasHarvard Law School
    Rupali SamuelHarvard Law School
    Madhulika SrikumarHarvard Law School
    Chinmay KanojiaColumbia Law School
    Arvind AbrahamHarvard Law School
    Maithilli PaiHarvard Law School
    Pavani Nagara BhatHarvard Law School
    Bahuli SharmaHarvard Law School
    Govind Tharayil ManoharanHarvard Law School
    Varun GuptaHarvard Kennedy School
    Kaveri IychettiraHarvard University
    Vikram SrinivasN/A
    Bedavyasa MohantyUniversity of Michigan
    SashaHarvard Kennedy School
    Sameeksha KhareColumbia University
    AmaySIPA
    Sanjana RajgarhiaHarvard University
    Shruti SharmaColumbia University, SIPA
    Jhalak Mrignayani KakkarHarvard Law School
    Anurag BhaskarHarvard Law School
    Disha ChaudhariHarvard Law School
    Kabir NandaHarvard University
    Pankti DalalColumbia- SIPA
    Noopur RavalUniversity of California Irvine
    Mohan PillaiUniversity of Cincinnati
    Sanya BatraColumbia University
    Deepika KalraColumbia University
    Pratiti DebUniversity of Chicago
    NayantaraColumbia University
    Meghna aroraMaitreyi college
    Raksha ThakurNA
    Fariha WastiColumbia-SIPA
    AshaEFL University
    Richa MukerjeeColumbia University
    Nikhil MandalaparthyUniversity of Chicago
    Devashish GodboleGeorgetown University Law Center
    Shadan KhanColumbia University
    Dipshikha GhoshColumbia University
    Laboni BhattacharyaUniversity of Southern California
    KritikaUniversity of Southern California
    Shrabastee BanerjeeBoston University
    Madalsa SinghStanford University
    Jacob RitchieStanford University
    Abhishek BhattacharyyaUniversity of Chicago
    Tarang TripathiUniversity of California, San Diego
    Grace GuptaChapman University
    Shubham ShivangUniversity of Chicago
    Sunaina PamudurthyHarvard Kennedy School
    Madhav MalhotraUniversity of Victoria
    Damini MohanColumbia University
    Nishaat MukadamBrandeis University
    Jatin TripathiGeorgetown Law
    Arpita SarkerPennsylvania State University
    Ritika SinhaColumbia Law School
    AshikaPratt Institute
    Hiba HasanHarvard Kennedy School
    Shreyas Gadgin MathaHarvard Kennedy School
    Anasua ChatterjeeNiels Bohr Institute, Copenhagen, Denmark
    Pallavi KhareHarvard Kennedy School
    Kalyani RautInstitute of Development Studies
    Shruti KediaSchool of international and public affairs
    Geeti PatwalSIPA
    Max Virupaksha KatnerGeorgetown Law Center
    Bindu Natesha DoddahattiUniversity of Pennsylvania
    Avantika ThakurColumbia University
    Jackson MillerHarvard Kennedy School
    ItamarUniversity of Chicago
    Samantha HappColumbia University
    Radhika SaxenaUniversity of Pennsylvania
    Valerie SnowUniversity of Pennsylvania Law School
    Madison GrayPenn Law
    Bhumika ChauhanNew York University
    Paresh ChandraPrinceton University
    Shruti SriramColumbia University
    JosephThe Fletcher School, Tufts University
    Sharmin HossainEquality Labs
    Fletcher Progressive InitiativeFletcher School, Tufts University
    Becca LynchUniversity of Pennsylvania Law School
    Madhuri MukherjeeFletcher School, Tufts University
    Amrita VasudevanYale Law School
    Caitlyn PassarettiColumbia University
    Inayat SabhikhiHarvard Kennedy School
    Sophie DoverHarvard Kennedy School
    Shashank ReddyThe Fletcher School, Tufts University
    Samer HjoujHarvard Kennedy School
    Chhavi KotwaniFletcher School of Law and Diplomacy, Tufts University
    Bhargav KrishnaHarvard University
    Sindhura Vanamamalai SowmithriPratt Institute
    Vinay NagarajuHarvard Ash Center for Democratic Governance
    Taha KhanHarvard University
    Chinmayi ArunYale Law School
    Pratyusha GovindarajuHarvard University
    Pratyasha AcharyaHarvard
    Ritwika SenNorthwestern University (Kellogg)
    Kinshuk KumarHarvard University
    Aarushi PrabhakarColumbia University
    Oviya GovindanUC Irvine
    Hannah Furstenberg-BeckmanHarvard University
    Siddhant AgarwalKellogg/Northwestern University
    Sanjukta PoddarUniversity of Chicago
    VaradaUniversity of Chicago
    Raghav BikhchandaniUniversity of Chicago
    Devleena ChatterjiUniversity of Minnesota
    Amita VarmaHarvard T.H Chan School of Public Health
    Ishani TikkuUniversity of Chicago
    Pranjal ChandraUniversity of Chicago- Harris School of Public Policy
    Nilanjana BhattacharyaUniversity of Chicago
    Thaenpaavai kannanTufts University, Fletcher School of Law and Diplomacy
    Jyoti GuptaHarvard Kennedy School
    Neil MTufts University, The Fletcher School
    Miriam CherayilMount Holyoke College
    Aparna RamanBoston University
    Akshara RavishankarUniversity of Chicago
    Siddarth ShrikanthHarvard Kennedy School
    TanimaUniversity of Chicago
    Nuvodita SinghSIPA, Columbia University
    John SantoroUniversity of Pennsylvania Law School
    Yajnaseni ChakrabortiTemple University, Philadelphia
    Nick TackesColumbia University
    Saniya AliColumbia University
    Pritha ChatterjeeHarvard University
    Diana NabulsiColumbia University – SIPA
    Alisha MirandaHarvard Graduate School of Education
    Arushi MittalHarvard Graduate School of Education
    Preksha SinghHarvard Education School
    Sayori GhoshalColumbia University
    Debjani DuttaUniversity of Southern California
    Prerna MunothHarvard Graduate School Education
    Ian KumekawaHarvard University
    Gaurav C GargNew York University
    Balaji AlwarHarvard University
    Upasana DuttaUniversity of Chicago
    Aniesh ChawlaPurdue University West Lafayette
    SrinathPurdue University
    Madhu KushwahaUniversity of Maryland
    Sneha LambaJohns Hopkins University
    Rabea EghbariahHarvard Law School
    Alex KhouryHarvard University
    Shaiba RatherHarvard Law School
    Debak DasCornell University
    Majid WaheedHarvard Law School
    EaruUniversity of Rochester
    Sarah SchwartzHarvard Law School
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    Siddhant TalwarTufts University
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    Neeraja BalakrishnanHarvard Law School
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    Rahul BhatnagarUniversity of Pennsylvania
    Aviroop SenguptaColumbia University
    Senjuti MallickTufts University
    Chitra RamIndiana University Law
    Karan TyagiHarvard University
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    Kumar RajaHBS
    Sanchari SenPurdue University
    Manvi AggarwalUniversity of Pennsylvania
    Shefali AgarwalThe New School
    Syed Saad AhmedUniversity of Pennsylvania
    Sayan PramanikThe Wharton School
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    Shompa ChoudhuryWharton
    Stephen Ipe VargheseThe Wharton School (U. Penn)
    Gyan SaldanhaSt XAviers college
    Varsha BhattacharyaHarvard Law School


    THIS IS NOT A PAPER PRINTED HARD COPY WITH SIGNATURES..

    SIDHARTH VARADARAJAN IS A PAKISTANI ISI SPONSORED TRAITOR.

    THE PAKISTANI ISI CYBER TROLL ARMY ARE ADDING FAKE HINDU NAMES VIA GOOGLE.


    BRAAAAAAYYYYYYYYYYYYY


    Captainji,
    Ashok Swain's remark about Modi serving him tea & living in servant quarters in 1995 looks like a Lie.

    This is Modi's 1994 pic. How can a person living in servant quarters, visit the White House?
    https://indianexpress.com/photos/picture-gallery-others/narendra-modi-in-us-journey-from-outside-the-white-house-to-private-dinner-with-obama/





    1. https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_87.html

      RAZIMAN TV --A STUDENT IN NETHERLANDS --FROM CALICUT IS 1797 ..

      THIS FELLOW IS A BIGGER TRAITOR THAN SWEDISH PROFESSOR ASHOK SWAIN.. HE GETS TERRIBLY UPSET IF SOMEONE PRAISES INDIA AND HINDUISM....
      ADAM D ANGELO OF QUORA HAS CHOSEN RAZIMAN TV TO RUN DOWN CAPT AJIT VADAKAYIL.. ANCIENT INDIA AND HINDUISM..

      THE WORD "VADAKAYIL" IS BANNED BY TWITTER / FACEBOOK/ QUORA... ANYBODY USING THIS WORD IS BANNED..

      THE WORD "RAZIMAN TV" IS SPONSORED BY TWITTER/ FACEBOOK/ QUORA..

      capt ajit vadakayil
      ..

      PUT ABOVE COMMENT IN WEBSITES OF—
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      ARNAB GOSWAMI


    1. https://history.mit.edu/people/sana-aiyar

      SANA IS THE DAUGHTER OF PAKISTANI ISI DARLING MANI SHANKAR AIYAR..

      CAPT AJIT VADAKAYIL ASKS SANA AIYAR.. TEACH TRUE HISTORY .. I HAVE NEGATIVE FEED BACK FROM YOUR STUDENTS ..

      SANA, FIRST FIND OUT WHO YOU ARE..

      http://ajitvadakayil.blogspot.com/2019/06/ramanuja-varadharaja-perumal-temple.html

      capt ajit vadakayil
      ..

      PUT ABOVE COMMENT IN WEBSITES OF--
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      GEN GD BAKSHI
      RSN SINGH
      ARNAB GOSWAMI












    .


    .



    CAPT AJIT VADAKAYIL
    ..

    DATABASE OF ANTI-WATAN , ANTI-HINDU INDIANS ON THE INTERNET. Part 4 -- CAPT AJIT VADAKAYIL

    $
    0
    0

    THIS POST IS CONTINUED FROM PART 3, BELOW--


    https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_16.html


    SOMEBODY CALLED ME UP AND CRIED..

    CAPTAIN..

    WHAT IS THIS LATEST DRAMA ABOUT ITALIAN MAINO JEW RAHUL GANDHI HAVING INTERVIEWS WITH RAGHURAM RAJAN AND ABHIJEET BANNERJEE ON TV ?..

    LISTEN..

    IT IS ALL ABOUT SHOWCASING THAT PEA BRAINED RAHUL GANDHI IS A GREAT THINKER..

    ONE OF INDIA SHARPEST MINDS RAM JETHMALANI HAD SAID FAMOUSLY THAT HE WONT EMPLOY IDIOT RAHUL GANDHI AS A CLERK IN HIS OFFICE..

    https://www.youtube.com/watch?v=FnhmD02fGBo

    THAT SAYS IT ALL..

    NOW ABOUT RAGHURAM RAJAN AND ABHIJEET BANNERJEE...

    I AM READING UP THEIR BOOKS AND UTTERANCES ON YOUTUBE VIDEO ..

    I WILL SOON PEN A POST ABOUT THESE TWO PEA BRAINED MEN WHO ARE BEING TOUTED AS WORLD CLASS INTELLECTUALS BY THE JEWISH DEEP STATE..

    SO SO SO..

    WHAT IS THE QUALIFICATION OF CAPT AJIT VADAKAYIL TO WRITE ABOUT SUCH WORLD CLASS INTELLECTUALS AS TOUTED BY JEW ROTHSCHILDs MEDIA?..

    FOR STARTERS VADAKAYIL IS THIS PLANETs NO 1 WRITER, WITH A GOOGLE PROFILE VIEW OF 1023 MILLION..

    https://www.blogger.com/profile/14410812789424637654

    VADAKAYIL HAS BECOME THIS PLANETs NO 1 WRITER BECAUSE OF HIS PERCEPTION/ CEREBRAL WHEREWITHAL TO POINT OUT TO THE " KOSHER ELEPHANT IN THE ROOM " -- AND COURAGE OF CONVICTIONS TO HOLLER " THE EMPEROR AINT WEARING CLOTHES"..

    VADAKAYIL HAS TORN ASUNDER THE KOSHER ASS OF THIS PLANETs GREATEST THINKER KARL MARX AND THIS PLANET MOST INTELLIGENT WORK DAS KAPITAL..

    MAD MARX TOOK MORE THAN 3000 PAGES TO WRITE DAS KAPITAL OVER SEVERAL DECADES..

    VADAKAYIL TOOK JUST A COUPLE OF DAYS TO PULVERIZE DAS KAPITAL BY USING MORE THAN 3000 PAGES..

    IF RAGHURAM RAJAN OR AMARTA SEN OR ABHIIJEET BANNERJEE OR ANY OTHER GREAT ECONOMIST OR THINKER OF THIS PLANET HAS THE BRAINS TO EVEN UNDERSTAND WHAT VADAKAYIL HAS WRITTEN IN HIS NINE PART BLOG POST BELOW, THEY MUST VOLUNTEER TO ENGAGE VADAKAYIL IN A LIVE DEBATE ON TV, SO THAT I CAN TEAR THEIR INTELLECTUAL ASSES ASUNDER ..

    READ ALL 9 PARTS BELOW—( TREAD SOFTY LEST YOU OVERHEAT YOUR BRAIN )

    https://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx_27.html

    THESE ARE JUST NINE POSTS AMONG 1635 POSTS ON EVERY SUBJECT ON THIS PLANET..

    I AM NOT A FROG IN THE ECONOMIC WELL LIKE AMARTYA SEN/ RAGHURAM RAJAN/ ABHIJEET BANNERJEE OR ANY OTHER INTELLECTUAL ON THIS PLANET..

    I HAVE SEEN THIS PLANET FOR 40 YEARS .. I AM THE CONDOR WHO EATS UP THESE SPONSORED COMPROMISED FROGS..

    I KNOW THAT THIS PLANET LIVES A KOSHER LIE..

    GOOGLE HAS SUNK MY BLOGPOSTS USING ALGORITHMS..

    FACEBOOK/ TWITTER/ QUORA ETC HAS BANNED THE WORD " VADAKAYIL"..

    WIKIPEDIA WONT GIVE VADAKAYIL A PAGE.. THOUGH ALL SLUTS GET ONE..

    I ASK ANY WORLD CLASS ECONOMIST ON THIS PLANET TO READ AND UNDERSTAND MY QUESTIONS TO QUORA No 686 TO No 820 IN THE POST BELOW--

    http://ajitvadakayil.blogspot.com/2019/06/archived-questions-to-quora-from-capt.html

    FOR THE UNINITIATED .. TO FIND OUT FURTHER WHO VADAKAYIL IS..

    READ ALL 5 PARTS OF THE POT BELOW--

    https://ajitvadakayil.blogspot.com/2020/04/who-is-captain-ajit-vadakayil-here-are.html

    VADAKAYIL STARTED BLOGGING A DECADE AGO, ONLY TO STOP THE BLEEDING FROM A THOUSAND CUTS INFLICTED OF MOTHER INDIAs AND TO HEAL THE PUS LADEN FESTERING WOUNDS OVER 800 YEARS OF SLAVERY..

    CUTS INFLICTED BY INDIAN TRAITORS LIKE AMARTYA SEN/ RAGHURAM RAJAN/ ABHIJEET BANNERJEE..

    HIMMAT HAI TOH , TRY AND STOP ME.. GAAND MEIN TATI HAI TOH KARKE DEKH..YOU CHOOTS..

    capt ajit vadakayil
    ..
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      SANJAY JHA
      SURJEWALA
      AK ANTONY
      SONIA GANDHI
      RAHUL GANDHI
      PRIYANKA VADRA
      AK ANTONY
      PC CHACKO
      JEAN DREZE
      DIG VIJAY SINGH
      JULIO RIBEIRO
      ASADDUDIN OWAISI
      SHEHLA RASHID
      RANA AYYUB
      SUHEL SETH
      SHAZIA ILMI
      MANI SHANGARAN AIYERAN
      SALMAN KHURSHEED
      GHULAM NABI AZAD
      ENTIRE BBC GANG
      SWARA BHASKAR
      ALL HINDU STALWARTS AND ORGS
      MAMMOTTY
      DULQER SALMAN
      DHARMAWIKI
      SWAMYs BULLSHIT VIRAATS SENA
      FAZAL GHAFOOR
      ROMILA THAPAR
      IRFAN HABIB
      NIVEDITA MENON
      AYESHA KIDWAI
      MAJOR WORLD MEDIA
      HISTORY CHANNEL
      DAVID HATCHER CHILDRESS
      SONIA GANDHI
      RAHUL GANDHI
      PRIYANKA VADRA
      SOLI BABY
      FALI BABY
      KATJU BABY
      SALVE BABY
      JOHN BRITTAS
      PRAKASH KARAT
      BRINDA KARAT
      SITARAM YECHURY
      D RAJA
      ALEX JONES
      RENSE
      DAVID ICKE
      ANGELO JOHN GAGE
      DR SANJAY GUPTA
      DEEPAK CHOPRA
      ROBIN SHARMA
      ASHOK SWAIN
      RAZIMAN TV
      PRINCESS HEND AL QASSIMI
      ARFA KHANUM
      SABA NAQVI
      TEESTA SETALVAD
      KAVITA KRISHNAN
      ANURAG KASHYAP
      ANAND PATWARDHAN
      PRASHANT BHUSHAN
      YOGENDRA YADAV
      JIGNESH MEVANI
      ROBERT VADRA
      HAMID ANSARI
      PAAGALIKA GHOSE
      KANNAN GOPINATHAN
      RAVISH KUMAR
      DIPANKAR BHATTACHARYA
      SHAHID SIDDIQUE
      TAREK FATEH
      ALL INDIAN MEDIA
      SPREAD ON SOCIAL MEDIA--


    BELOW: SPOT THE JEWESS WITH A MUSLIM NAME






  • https://twitter.com/PritishNandy/status/1255378851435294720

    FIRST OF ALL PRITISH NANDY IS A BELOW AVERAGE POET CREATED BY THE COMMIE JEWS.. HE DARE NOT GIVE EXPERT OPINIONS AS A WRITER..

    GOVERNOR OF A STATE HAS MASSIVE POWERS UNDER THE CONSTITUTION.. JUST LIKE THE PRESIDENT..

    A GOVERNOR OR A PRESIDENT IS NOT A RUBBER STAMP AS LONG ESTABLISHED BY THE ILLEGAL COLLEGIUM JUDICIARY AND THEIR LACKEY MEDIA..

    A STATE GOVERNOR AND [PRESIDENTS DUTY IS TO ENSURE THE RULE OF DHARMA.. IF DHARMA RULED LALU PRASAD YADAVs WIFE WOULD NOT GO FROM HER KITCHEN TO THE CM CHAIR-- NEVER EVER... ALL THIS WAS ALLOWED BY THE JUDGE IN DEEP STATE PAYROLL.

    THESE DESH DROHI JUDGES ALLOWED AN ITALIAN WAITRESS TO BECOME EMPRESS VIA NAC--WHERE SHE WAS RULING INDIA WITH A BELGIAN DEEP STATE AGENT NAMED JEAN DREZE..

    READ BOTH PARTS OF THE POST BELOW--

    https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

    OUR COLLEGIUM JUDICIARY ITSELF IS UNCONSTITUTIONAL AND ILLEGAL..

    https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

    WHY IS THE PRESIDENT THE SUPREME COMMAND OF THE ARMED FORCED..

    BECAUSE VETO POWER CAN BE GIVEN ONLY TO THE SUBJECTIVE-- NEVER THE OBJECTIVE...

    THIS IS WHY I AM WRITING A BLOG SERIES ON ARTIFICIAL INTELLIGENCE ..IT IS AT PART 18 AND 55% COMPLETE..ONLY CAPT VADAKAYIL HAS THE BRAINS AND PERCEPTION ON THE PLANET TO WRITE THIS PIECE..

    https://ajitvadakayil.blogspot.com/2020/03/what-artificial-intelligence-cannot-do_15.html

    UDDHAV THACKREY IS NOT CHOSEN BY THE PEOPLE.. HE USED MODIs FACE IN HIS GIANT ADVERTISEMENTS TO GET SHIV SENA, HINDU VOTES..

    NO ALIEN CAN EVER BE THE PRESIDENT OR STATE GOVERNOR.. HE MUST HAVE 100% INDIAN DNA… THE ITALIAN MAINO JEWESS ALWAYS MADE SURE PRESIDENT IS HER SLAVE. SHE WAS AFRAID OF ABDUL KALAM

    http://ajitvadakayil.blogspot.com/2012/07/indias-worst-president-ever-so-what-she.html

    CJI OR SUPREME COURT CAN NEVER OVER RULE THE VETO ACTION OF STATE GOVERNOR OR PRESIDENT --THEY JUST DONT HAVE THE POWERS.. IF GOVERNOR VETOE LALU PRASAD’S WIFE FROM SITTING ON THE CM CHAIR, IT IS FINAL..

    THE ELECTED GOVERNMENT HAS THE UNRESTRICTED RIGHT TO EXPEL A FOREIGNER – THIS RIGHT BELONGS TO THE ELECTED EXECUTIVE NOT A LOSER LAWYER TURNED COLLEGIUM JUDGE..

    JUDGES AND BENAMI MEDIA DO NOT KNOW THAT THE CONSTITUTION EMPOWERS PRESIDENT AND STATE GOVERNORS WITH ENORMOUS SUBJECTIVE AND DISCRETIONARY POWERS TO SUSTAIN DHARMA ( NOT BLIND JUSTICE ) …

    WE HAVE A MOST USELESS LAW MINISTER RAVI SHANKAR PRASAD .. HE WAS JPs BLUE EYED BOY.. JP WAS A CIA SPOOK IN 1976 .. I HAVE SEEN THE INDIAN SPY ROLLS SHOWN TO ME BY A RETIRED CIA BIG BOSS..

    GOVERNOR HAS THE DISCRETION NOT TO ALLOW UNHOLY AND OPPORTUNISTIC POST POLL ALLIANCES TO HIJACK VOTERS FREEWILL AND CHOICE... DID HINDU PEOPLE WHO VOTED FOR JDS IN KARNATAKA OUT OF LOVE FOR THE ITALIAN MAINO JEWS ?..

    LIKE THE PRESIDENT, THE GOVERNOR IS ALSO A CONSTITUTIONAL RULER.. . UNDER THE CONSTITUTION OF INDIA, THE GOVERNOR OF A STATE POSSESSES WIDE POWERS AND FUNCTIONS – EXECUTIVE, LEGISLATIVE, FINANCIAL AND JUDICIAL. .

    DEEP STATE CONTROLLED JUDGES ARMTWISTED BY BENAMI MEDIA ( PEABRAINED CREATURES ) AND DESH DROHI FORCES CANNOT DECIDE WHAT A GOVERNOR MUST DO OR NOT DO…..

    IN FUTURE , IF JUDICIARY THINKS THEY CAN PUNISH OR OVERRULE OR LORD OVER THE STATE GOVERNOR , THINK AGAIN…. THE JUDGES WILL LOSE THEIR JOBS AND PENSIONS..

    DEMOCRACY MUST PREVAIL.... WE THE PEOPLE WILL NOT ALLOW THE SYSTEM TO BE BROKEN DOWN BY PAST PRACTICES SANS CONTEXT TOLD IN TV STUDIOS BY DESH DROHI SOLIS AND FALIS....

    FLOOR TEST IN AN ASSEMBLY SHALL BE BY SECRET BALLOT --SO THAT MLAs WHOSE CHILDREN HAVE BEEN KIDNAPPED CAN FEEL SAFE WHILE VOTING..NO PARTY WHIP CAN BE ALLOWED ON THE FLOOR OF THE HOUSE..

    CONTINUED TO 2--

  • CONTINUED FROM 1--

    IT IS A TOTAL DISGRACE THAT EVEN THE CHIEF JUSTICE OF INDIA, DOES NOT KNOW HOW TO APPLY BODMAS TO THE INDIAN CONSTITUTION, OR HAVE A WEE IDEA, ABOUT THE MASSIVE POWERS VESTED BY THE CONSTITUTION IN THE PRESIDENT OF INDIA AND THE GOVERNORS OF STATE..

    BOTH "WE THE PEOPLE" AND "DHARMA" ARE ABOVE THE CONSTITUTION....

    JUDGES HAVE POWERS ONLY TO INTERPRET THE CONSTITUTION .. THE CHIEF JUSTICE OF INDIA DOES NOT HAVE POWERS TO RULE INDIA..

    IMAGINE A CUNT CHIEF JUSTICE OF INDIA, DECLARED LIKE MUNGERILAL, THAT ONLY THREE PHOTOS CAN BE USED IN GOVT ADVERTISEMENTS.. PRESIDENT/ PM AND CJI...

    TEE HEEEEEEEE.

    JUST WHO THE HELL IS A CJI? HOW DARE HE PROMOTE HIMSELF?

    EVERY TIME A STUPID NAY MAD CJI DOES ILLEGAL ACTIONS HE USED DESH DROHI BENAMI MEDIA TO SUPPORT HIM..

    https://www.indiatoday.in/india/story/government-advertisements-photos-prime-minister-president-cji-chief-justice-supreme-court-252648-2015-05-13

    THE GOVERNOR OF A STATE ENJOYS DISCRETIONARY POWERS AND AS SUCH THE OFFICE OF THE GOVERNOR DEPENDS UPON THE PERSONALITY AND ABILITY OF THE PERSON WHO OCCUPIES IT. .

    IF CJI DELIVER A DEATH SENTENCE-- THE GOVERNOR CAN VETO IT..THE SUPREME COURT CAN SUCK ON THIS..

    PARDON BY GOVERNOR WAS DONE FOR PARSI COMMANDER NANAVATI ( BY MAHARASTRA GOVERNOR VIJAYALAKSHMI PANDIT )….

    IF ANY COLLEGIUM JUDGE PANEL OVER RULES THE VETO DONE BY THE STATE GOVERNOR THEY CAN BE DISMISSED..

    IT IS THE JOB OF THE STATE GOVERNOR TO KEEP A WATCH ON TRAITORS IN HIS STATE -- AND THIS INCLUDES THE CM, THE DGP, THE CHIEF JUSTICE ETC..

    LIKE I SAID-- WHEN A SHIP IS VETTED BY AN OIL MAJOR , THERE WILL BE 999 OBJECTIVE QUESTIONS..

    THE SHIP CAN PASS ALL THE 999 "OBJECTIVE" QUESTIONS..

    THE FINAL "SUBJECTIVE" QUESTION TO THE VETTING INSPECTOR WILL BE " ARE YOU WILLING TO SAIL ON THIS SHIP WITHOUT RESERVATION FOR A VOYAGE NUDER THE PRESENT CAPTAIN AND CREW"..

    IS THIS SUBJECTIVE ANSWER IS NEGATIVE , THE SHIP HAS FAILED.. THIS IS A GUT FEELING OF AN EXPERIENCED EXPERT....

    THE CAPTAIN OF A SHIP HAS "SUBJECTIVE" POWERS.. I MADE SURE THIS HAPPENED.. SUBCONSCIOUS BRAIN LOBE AND GUT FEELINGS ARE EVOKED HERE FOR A FINAL DECISION..

    ARTIFICIAL INTELLIGENCE CAN NEVER INVOKE THE "SUBJECTIVE"..

    THIS IS MY TIMELESS GIFT TO THE SEA.

    I HAVE WRITTEN ON THIS SUBJECT MORE THAN 50 TIMES AND SENT IT TO PM AND GOVERNOR AND PRESIDENT?

    INDIA IS A BANANA REPUBLIC RULED BY THE JEWISH DEEP STATE...

    WE WATCH

    capt ajit vadakayil
    ..

  • 99.9% OF MY READERS ARE CHICKEN HEARTED TRAITORS.. WHEN CRITICAL ESSAGE LIKE THE ABOVE COME, THESE BASTARDS MELT WAY-- WHICH SHOULD I STICK MY NECK OUT-- BHAAD MEIN GAYE BHAARATMATA.. I KNOW READER WHO ARE WORTH MY TIME.. A MERE O.1 %

    PUT ABOVE CRITICAL MESSAGE IN THE WEBSITES OF--ASK PRESIDENT, PM AND STATE GOVERNORS FOR AN ACK.. THEY WONT.. THEY ARE SCARED OF THE DEEP STATE ..

    PUT ABOVE COMMENT IN WEBSITES OF—
    UN
    UN CHIEF
    TRUMP
    PUTIN
    BORIS JOHNSON
    MACRON
    ANGELA MERKEL
    XI
    AMBASSADORS TO FROM USA/ RUSSIA/ UK/ FRANCE/ GERMANY/ CHINA/ AUSTRALIA/ CANADA/ NEW ZEALAND / JAPAN
    AMBASSADOR TO INDIA FROM EVERY EUROPEAN AND SCANDINAVIAN NATION..
    PMO
    PM MODI
    EVERY MP OF INDIA
    EVERY MLA OF INDIA
    EVERY COLLECTOR OF INDIA
    NCERT
    EDUCATION MINISTER/ MINISTRY
    NCW MAIN
    NCW STATES
    DEFENCE MINISTER/ MINISTRY
    ALL 3 ARMED FORCE CHIEF
    CDS
    AMIT SHAH
    HOME MINISTRY CENTRE/ STATES
    HEALTH MINISTER/ MINISTRY CENTRA AND STATES
    CJI BOBDE
    ATTORNEY GENERAL
    LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
    ALL CHIEF JUSTICES HIGH COURTS
    I&B MINISTER / MINISTRY
    NSA
    AJIT DOVAL
    RAW
    IB
    CBI
    NIA
    ED
    ALL DGPs OF INDIA
    ALL IGs OF INDIA
    ALL CMs OF INDIA
    ALL STATE GOVERNORS
    PRESIDENT OF INDIA
    VP OF INDIA
    SPEAKER LOK SABHA
    SPEAKER RAJYA SABHA
    ALL INDIAN THINK TANKS
    NITI AYOG
    AMITABH KANT
    GITA GOPINATH
    AN SHAMSEER
    PINARAYI VIJAYAN
    ALL MPs/ MLAs OF KERALA
    ALL MEDIA OF KERALA
    SOLI BABY
    FALI BABY
    KATJU BABY
    SALVE BABY
    KODIYERI BALAKRISHNAN
    KERALA HIGH COURT CHIEF JUSTICE
    JOHN BRITTAS
    PRAKASH KARAT
    BRINDA KARAT
    SITARAM YECHURY
    D RAJA
    AMARTYA SE
    RAGHURAM RAJAN
    MANMOHAN SINGH
    CHID BABY
    RBI
    RBI CHIEF
    ABHIJEET BANNARJEE
    SAUMYA SWAMNATHAN
    IMF
    MOHANDAS PAI
    RAJEEV CHANDRASHEKHAR
    E SREEDHARAN
    WILLIAM DALRYMPLE
    KONRAED ELST
    FRANCOIS GAUTIER
    STEPHEN KNAPP
    DAVID FRAWLEY
    GVL NARASIMHA RAO
    SAMBIT PATRA
    ASHOK PANDIT
    ANUPAM KHER
    KANGANA RANAUT
    VIVEK AGNIHOTRI
    MEENAKSHI LEKHI
    SMRITI IRANI
    PRASOON JOSHI
    SWAPAN DASGUPTA
    MADHU KISHWAR
    SUDHIR CHAUDHARY
    GEN GD BAKSHI
    RSN SINGH
    ARNAB GOSWAMI
    NAVIKA KUMAR
    ANAND NARASIMHAN
    RAHUL SHIVSHANKAR
    RAJDEEP SARDESAI
    SRINIVASAN JAIN
    SONAL MEHROTRA KAPOOR
    VIKRAM CHANDRA
    NIDHI RAZDAN
    ZAKKA JACOB
    RAHUL ANWAL
    RAVISH KUMAR
    PRANNOY JAMES ROY
    AROON PURIE
    VINEET JAIN
    RAGHAV BAHL
    SEEMA CHISTI
    DILEEP PADGOANKAR
    VIR SANGHVI
    KARAN THAPAR
    PRITISH NANDI
    SHEKHAR GUPTA
    SIDHARTH VARADARAJAN
    PAVAN VARMA
    RAMACHANDRA GUHA
    THAMBI SUNDAR PICHAI
    SATYA NADELLA
    CEO OF WIKIPEDIA
    QUORA CEO ANGELO D ADAMS
    QUORA MODERATION TEAM
    KURT OF QUORA
    GAUTAM SHEWAKRAMANI
    MUKESH AMBANI
    RATAN TATA
    ANAND MAHINDRA
    KUMARAMANGALAMBIRLA
    LAXMI MNARAYAN MITTAL
    AZIM PREMJI
    KAANIYA MURTHY
    RAHUL BAJAJ
    RAJAN RAHEJA
    NAVEEN JINDAL
    GOPICHAND HINDUJA
    DILIP SHANGHVI
    GAUTAM ADANI
    SWAMY
    RAJIV MALHOTRA
    P GURUS
    RSS
    AVBP
    VHP
    MOHAN BHAGWAT
    RAM MADHAV
    MOHANLAL
    SURESH GOPI
    NALIN KOHLI.
    UDDHAV THACKREY
    RAJ THACKREY
    CHANDAN MITRA
    SADGURU JAGGI VASUDEV
    BABA RAMDEV
    SRI SRI RAVISHANKAR
    CHETAN BHAGAT
    AMISH TRIPATHI
    DEVDUTT PATTANAIK
    THE QUINT
    THE SCROLL
    THE WIRE
    THE PRINT
    MK VENU
    MADHU TREHAN
    SANJAY HEDGE
    SHOBHAA DE
    ARUNDHATI ROY
    MADHU TREHAN
    JAIRAM RAMESH
    SHASHI THAROOR
    KAPIL SIBAL
    ABHI SEX MAANGTHA SINGVI
    TEHSEEN POONAWAALA
    SHEHZAD POONAWALA
    SANJAY JHA
    SURJEWALA
    AK ANTONY
    SONIA GANDHI
    RAHUL GANDHI
    PRIYANKA VADRA
    AK ANTONY
    PC CHACKO
    JEAN DREZE
    DIG VIJAY SINGH
    JULIO RIBEIRO
    ASADDUDIN OWAISI
    SHEHLA RASHID
    RANA AYYUB
    SUHEL SETH
    SHAZIA ILMI
    MANI SHANGARAN AIYERAN
    SALMAN KHURSHEED
    GHULAM NABI AZAD
    ENTIRE BBC GANG
    SWARA BHASKAR
    ALL HINDU STALWARTS AND ORGS
    MAMMOTTY
    DULQER SALMAN
    DHARMAWIKI
    SWAMYs BULLSHIT VIRAATS SENA
    FAZAL GHAFOOR
    ROMILA THAPAR
    IRFAN HABIB
    NIVEDITA MENON
    AYESHA KIDWAI
    MAJOR WORLD MEDIA
    HISTORY CHANNEL
    DAVID HATCHER CHILDRESS
    SONIA GANDHI
    RAHUL GANDHI
    PRIYANKA VADRA

    SPREAD ON SOCIAL MEDIA--


    1. QUERY FROM CAPT AJIT VADAKAYIL TO G.S.G. AYYANGAR , THE CHIEF EXECUTIVE OFFICER OF FSSAI

      ##############################

      WE THE PEOPLE HAVE SENT SEVERAL REMINDERS TO RS SODHI, THE MD OF AMUL COPIED TO YOU ABOUT MALPRACTICES PUNISHABLE BY JAIL..

      RS SODHI HAS KEPT RADIO SILENCE , AND THIS MEANS HE IS IN CAHOOTS WITH YOU MR GSG AYYANGAR.. SO NOW YOU SHALL FACE THE HEAT..

      GSG AYYANGAR, ARE YOU AWARE THAT RS SODHI HAS BEEN ADULTERATING AMUL MILK WITH MELAMINE FORMALDEHYDE WHICH CAUSES GALL BLADDER/ KIDNEY STONES AND CANCER?

      THE COLOUR TEST FOR MELAMINE ADULTERATION IS SURE AND SIMPLE....MELAMINE RINGS TERMINATED WITH MULTIPLE HYDROXYL GROUPS DERIVED FROM FORMALDEHYDE..

      https://en.wikipedia.org/wiki/2008_Chinese_milk_scandal

      DOES THIS HAVE FOOD SAFETY AND STANDARDS AUTHORITY OF INDIA CONCURRENCE?

      https://economictimes.indiatimes.com/industry/cons-products/food/fssai-for-fixing-limits-of-melamine-in-milk-milk-products/articleshow/47979043.cms?from=mdr

      ADDITION OF MELAMINE INCREASES THE NITROGEN CONTENT OF THE MILK AND THEREFORE ITS APPARENT PROTEIN CONTENT. THIS IS A CRIMINAL PRACTICE OF ADULTERATION AS PER US AND EU STANDARDS..

      THE ABOVE IS QUESTION NUMBER NINE..

      THE BALANCE EIGHT QUESTIONS SENT TO RS SODHI ( GNORED ) , REMINDED FOUR TIMES BY SEVERAL PEOPLE ARE BELOW-

      ######################

      MR RS SODHI, DURING YOUR TENURE AS TOP GUN OF AMUL

      1) HAVE YOU ADDED MILK POWER TO YOUR MILK TO MAKE THE LIQUID THICKER.. IF SO, WHAT ARE THE PRESERVATIVES / STABILIZERS/ EMULSIFIERS THAT WENT INTO THE MILK POWDER..

      2) HAVE YOU USED TITANIUM DIXOIDE IN ANY AMUL PRODUCT?

      http://ajitvadakayil.blogspot.com/2018/04/ban-titanium-dioxide-e171-nano-particle.html

      3) HAVE YOU EVER MARKETED PURE A2 MILK OF HUMPED COW?

      http://ajitvadakayil.blogspot.com/2013/07/nutritious-a1-milk-of-vedic-cows-with.html

      4) HAVE YOU EVER WRITTEN ON ANY CARTON OF MILK THAT YOUR MILK IS A BLEND OF TOXIC A1 MILK OF HUMPLESS WESTERN COW PLUS BUFFALO MILK ?.. UNLESS YOU PRINT THIS ON THE CARTON CONSUMERS IMAGINE THAT THEY ARE DRINKING COWS MILK NOT BUFFALO MILK..

      5) HAVE YOU SOUGHT AND RECEIVED WRITTEN PERMISSION FROM GOVT AUTHORITIES TO MIX VARIOUS TYPE OF MILK FROM DIFFERENT ANIMALS ? OR DO YOU THINK YOU CAN DO IT ARBITRARILY -- IF SO WHY NOT TOXIC CAMELs MILK OR GOAT MILK OR DOG MILK?..

      6) HAVE YOU EVER DONE A SURVEY OF THE PLACES WHOM WHERE YOU SOURCE OUR MILL-- HOW MANY HUMPED COWS (A2 MILK) / HUMPLESS COWS (A1 TOXIC MILK) / BUFFALO MILK ETC?..

      7) WARNING-- QUESTION NO 1 INVOLVES ADULTERATION AS PER INDIAN LAWS.. CAUSE AND EFFECT MUST BE CLEAR.. FRESH COWS MILK IS NOT RECONSTITUTED COMMINGLED MILK..

      8) WHICH ALL ITEMS OF YOUR AMUL MILK PRODUCTS HAVE SOYA ?

      A1 MILK OF HUMPLESS WESTERN JERSEY / HOLSTEN COWS IS THE REASON WHY LAKHS OF INDIANS HAVE GOT MAJOR DISEASES AND THEIR BODY IMMUNITY HAS COME DOWN.. 85% OF DISEASES ORIGINATE IN THE GUT..

      RS SODHI DONT YOU THINK A CONSUMER HAS THE RIGHT TO REJECT TOXIC A1 MILK ( SCIENCE ) OR BUFFALO MILK ( CULTURAL )-- OR DO YOU WANT TO PLAY GOD HERE.. EXAMPLE: GANDHI WANTED ONLY GOAT MILK..

      RS SODHI, STOP CHARMING/ IMPRESSING INDIANS WITH YOUR "STRINGENT" QUALITY CONTROL FUNDA .. WE WANT TO KNOW BASIC TRUTHS.. IF I DONT WANT A1 TOXIC MILK FROM HUMPLESS COWS OR BUFFALO MILK , I MUST HAVE A CHOICE..

      capt ajit vadakayil
      ..
    1. MESSAGE TO ALL DGPs OF INDIA FROM CAPT AJIT VADAKAYIL

      ###############################################

      ARNAB GOSWAMIs CASE..

      ARNAB GOSWAMI PERSONALLY WENT TO FILE FIR TO THE POLICE STATION-- ATTACK ON HIM AND HIS WIFE AT MIDNIGHT BY GOONS SENT BY THE ITALIAN FAMILY..

      ARNAB GAVE NAMES..

      THE FIR PREPARED BY THE POLICE DILUTED THE GRAVE FIR.. IT WAS CONVERTED TO SOME WEE MISCHIEF..

      SEE ARNAB AND HIS WIFE MUST HAVE A SENSE OF HUMOR TO TAKE IT ON THEIR CHIN RIGHT?

      WRONG!

      NO POLICE INSPECTOR CAN DILUTE AN FIR .. THIS IS INDIAN LAW..

      THIS POLICE INSPECTOR WHO SUBVERTED PROCEDURES ( DESPITE VIDEO EVIDENCE ) MUST BE SACKED AND HIS RETIREMENT PERKS WITHDRAWN..

      MAHARASHTRA DGP WITH STATE HOME MINISTER BE MUSTERED BY HOME MINISTER AMIT SHAH..IMMEDIATELY..

      TOMORROW A GIRL WILL NAME SOME MEN WHO GANG RAPED HER .. THE POLICE WILL REMOVE THE NAME OF THE RAPISTS DESPITE HIDDEN CAM EVIDENCE?

      WHAT IS ALL THIS?

      WHY DO WE HAVE A NAPUNSAK PM AND LAW MINISTER ? WHY IS CJI QUIET ?

      ######################################

      WE THE PEOPLE WATCH..

      IF IT WAS RANA AYYUB, EVEN THE UN CHIEF WILL BE JUMPING UP AND DOWN.. ALL MEDIA IGNORED THIS ATTACK..

      WHAT TYPE OF MEDIA DO WE HAVE WHO WILL NOT REPORT A "STATEMENT OF FACT" SUPPORTING THE ITALIANS ?..

      NCW WOULD HAVE DONE MASS HARAKIRI IF IT WAS AISHWARYA RAI INSTEAD OF ARNABs WIFE.. AISHWARIA RAI IS BHARATMATA , RIGHT?

      STAR KIDS UDDHAV THACKREY AND HIS SON HAVE COMMITTED POLITICAL SUICIDE.. AS IT IS UDDHAV IS ON THE VERGE OF BEING DISMISSED FOR GROSS INCOMPETENCE

      capt ajit vadakayil
      ..

    1. THE KING IS DEAD !!

      LONG LIVE THE KING !!!!


      EVERY ENGLISHMAN KNOWS WHAT THIS MEANS...

      IT MEANS PAPA KING IS DEAD AND NOW SONNY PRINCE HAS BECOME THE NEW KING..

      SAME WAY

      WHEN THE CORONAVIRUS SMOKE BLOWS OVER..

      THERE WILL BE A NEW CRY LED BY INDIA ALL OVER THIS PLANET...

      ECONOMICS IS DEAD !!

      LONG LIVE ECONOMICS !!!

      THIS MEANS -- INDIA WILL NOT ALLOW THE TAIL TO WAG THE DOG ANYMORE...

      HERE IS A POST I WROTE 4 YEARS AGO..

      http://ajitvadakayil.blogspot.com/2016/06/gpi-dog-shall-wag-gdp-tail-not-vice.html

      IF YOU WANT A MORE CONDENSED VERSION OF IT ( FOR THE BRAIN DEAD ), READ QUESTIONS TO QUORA NO 686 TO 820, IN THE POST BELOW---

      http://ajitvadakayil.blogspot.com/2019/06/archived-questions-to-quora-from-capt.html

      WHAT IS THIS G6 GROUP WHO SIT AND DRINK PREMIUM WINE EVERY YEAR ?

      A GROUP OF BEGGAR NATIONS WHO PRETEND TO BE THE WEALTHIEST.. LED BY USA WHOSE NATIONAL DEBT IS 24.5 TRILLION USD..

      https://www.usdebtclock.org/

      THE US PRESIDENT DOES NOT CONSIDER IT NECESSARY TO INCLUDE THIS MIND NUMBING STATISTIC IN HIS SOTU ADDRESS..

      IMF/ WORLD BANK / ROTHSCHILDs RATING AGENCIES FITCH-MOODY-S&P- PLAY KOSHER BALL..

      NOT ANY MORE !

      WE ARE NOT GONNA HAVE A SYSTEM WHERE NATIONS LIKE ZIMBABWE / VENEZUELA ARE PUNISHED FOR NOT ALLOWING JEWS TO STEAL FROM THEIR NATIONS.. BY JEWISH DEEP STATE INFLATING THEIR "INFLATION RATE"..

      ALL KNOW THAT ZIMBABAWE HAD TRILLION RATE INFLATION, AND WHEN MUGABE WAS KICKED OUT BY A COUP, WITH A PLIANT JEWISH PUPPET, THE INFLATION RATE CAME DOWN LIKE MAGIC OVERNIGHT TO ZERO..

      https://edition.cnn.com/2016/05/06/africa/zimbabwe-trillion-dollar-note/index.html

      VENEZUELAs INFLATION RATE IS 10 MILLION PERCENT..

      https://economictimes.indiatimes.com/news/international/business/imf-sees-venezuela-inflation-at-10-million-per-cent-in-2019/articleshow/66139421.cms

      IT WILL FALL DOWN OVERNIGHT AS SOON A PATRIOT MADURO IS REPLACED BY JEW GUAIDO

      THE WHOLE WORLD NOTICED THAT JEW GUAIDO ATTENDED THE SOTU ADDRESS OF TRUMP AND HE GOT A STANDING OVATION FROM BOTH SIDES OF THE AISLE.. DEMOCRAT BUMS AND REPUBLICANS --A RARE EVENT..

      AND HEY, GITA GOPINATH ( BLOOD RELATIVE OF ROTHSCHILD COMMIE AK GOPALAN ) WANTS PM MODI TO DECLARE "REAL" GDP, FACTORING IN INFLATION RATE..

      BRRAAAAYYYYYYYYYYYY..

      WHAT IS INFLATION??

      HERE IS A POST I WROTE 9 YEARS AGO..

      http://ajitvadakayil.blogspot.com/2011/01/murky-truths-of-inflation-and.html

      INDIA WILL POINT TO THE ELEPHANT IN THE ROOM..

      INDIA WILL HOLLER " THE EMPEROR AINT WEARING CLOTHES"

      THE SUPPRESSED/ OPPRESSED WORLD WILL LISTEN...

      THANKS TO JEW OBAMA, SAN FRANCISCO IS A CITY FULL OF ILLEGAL IMMIGRANTS AND SHIT / RATS/ DRUG NEEDLES..

      capt ajit vadakayil
      ..

    1. https://www.vice.com/en_in/article/jgez3x/disturbing-child-porn-trends-from-india-during-lockdown

      SOMEBODY ASKED ME --

      CAPTAIN

      WHO IS PALLAVI PUNDIR WHO HAS DECLARED INDIA AS A PEDOPHILE NATION?..

      WELL SHE WORKS FOR VICE MEDIA GROUP LLC, WHICH IS FUNDED BY GEORGE SOROS -- A JEWISH DEEP STATE ORG..

      https://www.opindia.com/2020/01/george-soros-1-billion-dollar-fight-nationalists-pm-modi-usa-china-russia/

      I HAVE BAAAD NEWS FOR PALLAVI PUNDAR..

      INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PEDOPHILES / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / DYSFUNCTIONAL FAMILY/ PARENTS DISCARDED IN OLD AGE HOMES / MENTAL PROBLEMS/ CRIPPLES/ SERIOUS DISEASES / INFERTILITY / LACK OF RESPECT FOR WOMEN – PARENTS / HUNGER / DEBT PER CAPITA ETC ETC..

      WE HAVE 1350 BILLION PEOPLE..

      SO PALLAVI PUNDIR-- YOU CAN INFORM YOUR JEWISH DEEP STATE BOSSES ACCORDINGLY..

      PALLAVI PUNDIR-- ALL YOUR LIES ABOUT MASS SURVEILLANCE IN INDIA AND LOSS OF PRIVACY WONT WORK..

      https://www.vice.com/en_in/article/qjd9ew/coronavirus-surveillance-privacy-india

      ONE THING YOU CAN BE 100% SURE LIAR PALLAVI PUNDIR BABY-- YOU ARE NOW UNDER SURVEILLANCE, EVERY INCH OF YOUR MOVEMENT FROM NOW ON WILL BE MONITORED AND PROFILED..

      YOU, THE TRAITOR, YOUR FAMILY AND YOUR FUTURE GENERATIONS ARE NOW BLACK SHEEP..

      WE IN INDIA TRUST AROGYA SETU.. TRY AND DISMANTLE THIS APP..

      https://twitter.com/pallavipundir/status/1251547988553392128

      IN 13 YEARS INDIA WILL BE THIS PLANETs NO 1 SUPERPOWER.. SUCK ON THIS..

      PUNDHIR PARASHAR GOTRA IS FAKE AND COOKED UP BY JEW ROTHSCHILD..

      AND TELL GEORGE SOROS , HE CAN SINK ALL IS BILLIONS IN FIGHTING BHARATAMATA AND SANATANA DHARMA.. WE THE PEOPLE OF INDIA UNDER PM MODI WILL ENJOY THIS FIGHT ..

      WANNA KNOW WHO IS CAPT AJIT VADAKAYIL?... READ ALL 5 PARTS OF THE POST BELOW--

      https://ajitvadakayil.blogspot.com/2020/04/who-is-captain-ajit-vadakayil-here-are.html

      CAPT AJIT VADAKAYIL IS THIS PLANETs NO 1 WRITER WITH A GOOGLE PROFILE VIEW OF 1023 MILLION..

      DOES GEORGE SOROS KNOW THAT HITLER WAS A JEW?.

      https://www.blogger.com/profile/14410812789424637654

      http://ajitvadakayil.blogspot.com/2015/10/if-zionist-jews-created-isis-who.html

      capt ajit vadakayil
      ..
    1. .
    1. .
      NOT ALL SOULLESS VIRUS WHICH HIJACK THE SOUL OF BACTERIA IS A VILLIAN.

      GANGES WATER IS UNIQUE ON THIS PLANET FOR BACTERIOPHAGES.

      BACTERIOPHAGE, IS A VIRUS, ANY OF A GROUP OF VIRUSES THAT INFECT BACTERIA—IT LITERALLY MEANS “BACTERIA EATER”

      THIS IS WHY YOU CAN THROW A DEAD BLATED HUMAN BODY IN GANGES RIVER AND DRINK WATER ONE FOOT AWAY..

      ROTHSCHILD STOCKED HIS SHIPS WITH GANGES WATER ON LONG OYAGES.. IT IS WRITTEN IN CHARAKA SAMHITA THAT GANGES WATER DELIVERS ANTIBIOTIC RESISTANCE WITHOUT SIDE EFFECTS

      http://ajitvadakayil.blogspot.com/2014/06/ganga-manthan-cleaning-of-river-ganges.html

      IN ADDITION GANGES WATER AT THE SOURCE HAS GOLD , SILVER AND IRIDIUM NANO COLLOIDS..

      https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html

      I HAVE SUCH WATER WITH ME COLLECTED AT GAUMUKH..

      http://ajitvadakayil.blogspot.com/2011/01/living-water-capt-ajit-vadakayil.html

      UNLIKE ANTIBIOTICS, PHAGES TAKE OUT THE PATHOGEN WITHOUT HARMING THE NATURAL FLORA AND FRIENDLY BACTERIA PRESENT IN THE BODY .

      THE KOHER EVIL PHARMA HAS KILLED ALL EFFORTS TO REVIVE PHAGE RESEARCH.

      BACTERIOPHAGES WHICH ARE VIRUSES INFECT AND KILL THEIR HOST BACTERIA BY A MAGICAL SEARCH AND DESTROY ACTION.

      BACTERIOPHAGES, ARE VIRUSES THAT SPECIFICALLY INFECT BACTERIA. PHAGES AND OTHER VIRUSES ARE NOT CONSIDERED LIVING ORGANISMS BECAUSE THEY CAN'T CARRY OUT BIOLOGICAL PROCESSES WITHOUT THE HELP AND CELLULAR MACHINERY OF ANOTHER ORGANISM.

      PHAGES HAS GENES THAT CODED FOR PROTEINS NECESSARY FOR THE FUNCTIONING OF RIBOSOMES — A CELLULAR MACHINE THAT TRANSLATES GENETIC MATERIAL INTO PROTEINS (THE PROTEINS ARE THE MOLECULES THAT CARRY OUT DNA'S INSTRUCTIONS).

      THESE PROTEINS AREN'T TYPICALLY FOUND IN VIRUSES, BUT THEY ARE FOUND IN BACTERIA AND ARCHAEA, ACCORDING TO THE STATEMENT.

      THE WHITE MAN TRIED HARD TO SHOWCASE THAT INDIANS ARE SAVAGES –AND SIPPING GANGES WATER IS ALL SUPERSTITION..

      MY FIRST DEEKSHA WAS ABOUT GANGES WATER AND KUNDALINI COIL-- BEST DONE AFTER SIPPING A TEASPOON OF GANGES WATER ..

      http://ajitvadakayil.blogspot.com/2018/02/sanatana-dharma-hinduism-exhumed-and_7.html

      WHAT IS SOUL?

      http://ajitvadakayil.blogspot.com/2019/12/how-to-release-trapped-and-miserable.html

      My revelations now now jump to 60.36 %
      PSSSSST ---NOW QUORA WILL ASK THER AGENT RAZIMAN TV ( A TRAITOR FROM CALICUT WHO RUNS DOWN HIS OWN MOTHERLAND ) TO WRITE THAT ABOVE IS ALL BULLSHIT.. AND HE WILL EXPLAIN ADVANCED QUANTUM PHYSICS OF SNATANA DHARMA WITH CLASSICAL PHYSICS AND KORAN DOGMA -- USING MAD GRAPHS..

      TEE HEEEEE

      Capt ajit vadakayil
      ..

    1. https://www.youtube.com/watch?v=nD5KUSdvZUY

      TWO TRAITOR COMMIES

      https://twitter.com/mkvenu1/status/1251508424686198788

      "THE WIRE" PACKED WITH COMMIE TRAITORS BY COMMIE N RAM, CAN DO A JACK TO BHARATMATA.. CAPT AJIT VADAKAYIL GIVES GUARANTEE.

      MK VENU, ONE OF THREE FOUNDERS OF “THE WIRE” , WAS EMBROILED IN THE NIIRA RADIA TAPES CONTROVERSY WHICH CAME OUT IN 2008-09.


      ACCORDING TO THE TAPES, HE WAS AMONG THE ALLEGED POWER BROKERS OF THE UPA GOVERNMENT AND A PART OF THE GOVERNMENT-CORPORATE-MEDIA NEXUS.

      DESPITE HIS NAME IN THE CONTROVERSY, MK VENU WAS ROPED IN FOR THE RAJYA SABHA TV TO HOST A SHOW NAMED ‘STATE OF THE ECONOMY’. APPOINTMENT IN RSTV COMES UNDER THE DISCRETION OF THE VICE PRESIDENT, WHO IS A PART OF THE GOVERNMENT FOR ALL PRACTICAL REASONS.

      VINOD DUA, CONSULTING EDITOR OF THE WIRE IS ANOTHER MEMBER OF THE JEWISH COMMIE DEEP STATE . HE WAS SPONSORED IN DOORDARSHAN BY THE COMMIE FATHER OF RHODES SCHOLAR SAGARIKA GHOSE ..

      VINOD BABY WAS AWARDED WITH PADMA SHRI FOR JOURNALISM IN 2008 BY THE ITALIAN WAITRESS.. HE HAS BEEN ACCUSED OF SEXUAL ASSAULT BY DOCUMENTARY FILMMAKER NISTHA JAIN.

      ROHINI SINGH IS ANOTHER MEMBER OF THE WIRE TEAM WHO HAPPENS TO BE A DISCIPLE OF MK VENU. IN THE NIIRA RADIA CASE, VENU WAS HEARD ASKING NIIRA RADIA TO INTRODUCE ROHINI SINGH TO PEOPLE IN THE ESTABLISHMENT BECAUSE SHE WAS TO REPORT ON POLICIES OF FINANCE MINSITRY.

      ANOTHER PICK FOR THE WIRE IS JEWESS ARFA KHANUM SHERWANI… SHE HOSTS A SHOW NAMED ‘HUM BHI BHARAT’ FOR THE WIRE.

      THROW A STALE CHAPPATI IN THE GENERAL DIRECTION OF THE WIRE


    GOOGLE/ QUORA/ TWITTER/ FACEBOOK ALLOWS PAKISTANI ISI MUSLIM AGENTS WITH HINDU NAMES TO ABUSE INDIAN AND HINDU GODS..

    BUT IF A DESH BHAKT HINDU / INDIAN TRIES TO REUDIATE OR EXPOSTULATE JEWSIH DEEP STATE TOOLS GOOGLE/ QUORA/ TWITTER/ FACEBOOK SINKS IT ON THE INTERNET OR DELETES IT..

    THIS BLOGSITE HAS COMPLAINED TO PM MODI/ PMO/ I&B MINISTER JAVEEKAR/ LAW MINISTER / RSS ETC MORE THAN 100 TIMES. NOBODY CARES..
    #####################
    EXAMPLE AAA--

    IF YOU GOOGLE FOR " AGHORIS , THE CORPSE EATERS OF INDIA - CAPT AJIT VADAKAYIL "

    NOTHING COMES UP ..

    BUT IF YOU GOOGLE FOR THE LINK, MY POST COMES UP..

    http://ajitvadakayil.blogspot.com/2014/09/aghoris-corpse-eaters-of-india-capt.html

    #############

    BBB- IF YOU GOOGLE FOR :---google for my post below--

    REPEATED BLASPHEMY AGAINST HINDU GODS BY QUORA CEO ADAM D ANGELO, FOR WHICH PUNISHMENT UNDER INDIAN LAW IS LONG TERM IMPRISONMENT "

    NOTHING COMES UP....

    BUT IF YOU GOOGLE FOR THE LINK, IT SHOW UP

    https://ajitvadakayil.blogspot.com/2019/04/repeated-blasphemy-against-hindu-gods_9.html

    #######################

    WE WONDER WHO THE PEOPLE RULING INDIA ARE ? ARE THEY TRAITORS IN FOREGN PAYROLL?

    WE KNOW THAT THE FIRST PMO BOSS MO MATHAI WAS A CIA AGENT...

    WE KNOW PM MORARJI DESAI WAS A CIA AGENT , WHO WAS GIVEN PAKISTANI RATNA AWARD FOR GIVING AWAY THE NAMES AND ADDRESSES OF RAW AGENTS INSIDE PAKISTAN....

    WE KNOW PM MODI WORE A MOSSAD SPONSORED SIKH TURBAN IN 1976..

    WE WATCH..

    Capt ajit vadakayil
    ..

    INDIA IS BEING ACCUSED OF HIDING CORONAVIRUS DEATHS BY JEWSH DEEP STATE PAYROLL LIAR ASHOK SWAIN ( PROFESSOR IN SWEDEN ) .. 

    ASHOK SWAIN  RUNNING DOWN HIS MOTHERLAND AGAIN AND AGAIN AND AGAIN?--

    EVERY DAY ASHOK SWAIN COOKS UP A NEW LIE , AND HE IS SUPPORTED BY PAKISTANI ISI MUSLIM CYBER BRIGADE WITH HINDU NAMES ..   ALONG WITH SOME INDIAN COMMIES/ NAXALITES..


    IN THE STATISTIC BELOW , INDIAS DEATHS PER ONE MILLION POPULATION IS 0.3 -- THE LOWEST ..

    THE NATIONS SHOWING LESS IS UNDER REPORTING, ALL WEE UNDERDEVELOPED NATIONS..


    IN COMPARISON TO INDIAs 0.3  ( WE HAVE 1350 MILLION PEOPLE ) ,  SWEDEN IS 132..

    SPAIN/ 409
    BELGIUM/ 419
    ITALY / 358
    FRANCE / 263
    UK/ 202
    USA/ 87

    INDIA HAS THE LOWEST NEGATIVITY ON THIS PLANET..

    WE ARE MADE TO BELIEVE THAT INDIA IS A RAPIST NATION.. BY TRAITORS LIKE ASHOK SWAIN..

    IN REALITY INDIA HAS THE LOWEST ( BY PERCENTAGE OF POPULATION ) RAPES / MOLESTATION/ MURDERS / CRIMES/ LOSS OF VIRGINITY BEFORE MARRIAGE/ DIVORCES/ HOMOSEXUALS / PROSTITUTES/ CARBON EMISSIONS/ CONSUMPTION OF ELECTRICITY / FUEL CONSUMPTION / UNHAPPINESS/ DRUG-ALCOHOL ADDICTIONS / PEDOPHILES/ DISFUNCTIONAL FAMILY/ PARENTS DISCARDED IN OLD AGE HOMES  / MENTAL PROBEMS/  CRIPPLES/  SERIOUS DISEASES /  INFERTILITY / LACK OF RESPECT FOR WOMEN – PARENTS / HUNGER /  DEBT PER CAPITA ETC ETC..

    I HAVE SEEN THIS PLANET FOR 40 YEARS..

    ASHOK SWAIN IS A JUDAS WHO SELLS HIS MOTHERLAND FOR A PIECE OF KOSHER SILVER..


    HE HAS THE SUPPORT OF WHITE MEN WHO ARE JEALOUS OF INDIA..

    THERE ARE MANY US UNIVERSITIES SPONSORING ASHOK SWAINs LIES TO RUN DOWN INDIA AND HINDUS ..THERE MUST BE RETRIBUTION..ENOUGH IS ENOUGH..

    CAPT AJIT VADAKAYIL ASKS PM MODI..

    IMMEDIATELY MUSTER THE SWEDISH AMBASSADOR IN INDIA AND DEMAND AN EXPLANATION WHY SWEDEN IS USED FOR ANTI-INDIA ACTIVITIES..

    QUOTE THE EXAMPLE OF PROF ASHOK SWAIN WHO IS POISONING MINDS USING SWEDEN AS A BASE-- AT UPPSALA UNIVERSITY.. PEDDLING ENDLESS FOUL LIES..

    ASHOK SWAIN IS A SERIAL OFFENDER.. HE WILL BE JAILED IF HE COMES TO INDIA.. SUCH IS THE GRAVITY OF HIS OFFENCE..

    capt ajit vadakayil

    ..
    https://www.newindianexpress.com/states/kerala/2020/apr/16/just-one-covid-19-case-kerala-tops-in-recoveries-2130669.html

    KERALA HAS THE BEST RECOVERY RATE ON THIS PLANET..

    KERALA ALSO HAS THE BEST SOCIAL INDICATORS ON THIS PLANET-- FAR AHEAD OF WHITE NATIONS..




    https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html



    DONALD TRUMP

    LISTEN UP

    AND LISTEN GOOD

    PROFILE THESE DEEP STATE CONTROLLED NEOCON STUDENTS , AND CONSIDER THEIR FUTURE VISA REQUESTS / GREEN CARD REQUESTS ACCORDINGLY.

    NSA/ HOME MINISTRY, DO NOT EMPLOY THESE DEEP STATE SPONSORED STUDENTS IN GOVT JOBS..  IF THEY GET PRIVATE JOBS IN INDIA PROFILE THEM DYNAMICALLY 













    OUR IITs WERE DESIGNED AS PURELY TECHNICAL SCHOOLS..

    BUT DEEP STATE PAYROLL MINISTERS AND BABUS IN THE EDUCATIONAL MINISTRY CAUED SOCIAL SCIENCES DEPTS TO BE ADDED..

    WHAT DO THEY TEACH?

    ROTHSCHILD COMMUNISM- WITH PROPAGANDA THAT ARL MARX IS THIS PLANETs GREATEST THINKER

    ROTHSCHILDs BLOOD RELATIVE GERMAN JEW KARL MARX IS A MORON OF THE FIRST ORDER..

    HIS DAS KAPITAL IS A MINDLESS WORK..
    DAS CAPITAL VOLUMES RUN INTO 3000 PAGES..



    CAPT AJIT VADAKAYIL HAS USED MORE PAGES TO DEBUNK IT..
    READ ALL 9 PARTS OF THE POST BELOW--

    https://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx.html

    STOP SOCIAL SCIENCES IN IITs..



    JAIL ALL DEEP STATE PAYROLL PROFESSORS ( TREASON ) IN SOCIAL SCIENCES DEPTS IF JNU/ TISS/ DU/ JU / BRENNAN COLLEGE..



    BURN EVERY COMMIE BOOK IN LIBRARIES OF BRENNAN COLLEGE AND JNU..


    STOP RETIREMENT PERKS OF ADMIRALS LN RAMDAS AND VISHNU BHAGWAT..

    capt ajit vadakayil
    ..


    1. TODAY—

      TRAITORS ARE BEING FLUSHED DOWN THE SHIT HOLE... ASHOK SWAIN, KAVITA KRISHNAN, TEESTA SETALVAD , PRASHANT BHUSHAN


      GARBAGE BUCKET LIST:

      1) BERTRAND RUSSEL
      2 NOAM CHOMSKY
      3 SIGMUND FREUD
      4) GEORG WILHELM HEGEL
      5) AMARTYA SEN
      6) FREIDRICH WILHELM NIETZSCHE
      7) IMMANUEL KANT
      8 ) BARUCH SPINOZA
      9) ALBERT EINSTEIN
      10) ISAAC NEWTON
      11) GUGLEILMO MARCONI
      12) CHARLES DARWIN
      13) KARL MARX
      14) MAX WEBER
      15) THOMAS ALVA EDISON
      16) FIBONACCI
      17) EDWARD BERNAYS
      18) JOHN DEWEY
      19) GEORGE IVANOVICH GURDJEIFF
      20 PETER D OUPENSKY
      21) OPRAH WINFREY
      22) RICHARD BANDLER AND JOHN GRINDER
      23) CHRISTIANE AMANPOUR
      24) STEPHEN HAWKING
      25) SIDNEY HOOK
      26) ALFRED KINSEY
      27) BARACK OBAMA
      28) AYN RAND
      29) WILHELM WUNDT
      30) RENE DESCARTES.
      31) EMPRESS HELENA
      32) RAYMOND IV
      33) SAINT MOTHER TERESA
      34) LENIN
      35) ENGELS
      38) ADAM SMITH

      ########################

      BBB ) HERE ARE PEOPLE WHO MADE A DENT IN THE UNIVERSE— THEY GET THE "VADAKAYIL PRIZE". THIS IS NOT A VESTED “NOBEL PRIZE “

      1) NIKOLA TESLA
      2) DIMITRI MENDELEYEEV
      3) IE IRODOV
      4) ARYABHATTA ( 2700 BC)
      5) SRINIVASAN RAMANUJAN
      6) CHANAKYA ( 372 BC )
      7) ADI SHANKARACHARYA ( 2000 BC )
      8) APOLLONIUS OF TYANA ( KERALA SAGE WHOSE LEGACY WAS USURPED BY COOKED UP JESUS IN 325 AD )
      9) "JOHN DOE"
      10) JULIAN ASSANGE
      11) SWAMI CHINMAYANANDA
      12) GARY STEPHEN WEBB
      13) GEORGE ORWELL.
      13) CESAR MILLAN
      14) HENRY FORD.
      15) PANINI ( 5500 BC )
      16) BHARTRHARI ( 7000 BC )
      17) PATANJALI ( 5000 BC )
      18) MANU (8300 BC)
      19) YASKA ( 5800 BC )
      20) JOHN CARMAC
      21) QUEEN DIDO ( 1600 BC )
      22) KANADA MUNI ( 6500 BC )
      23) VARAHAMIHIRA ( 2660 BC )
      24) VARARUCHI ( 2830 BC )
      25) VIROCHANA ( 10, 650 BC )
      26) MAHABALI ( 10,600 BC )
      27) KALANAMI ( 10500 BC )
      28) IMHOTEP / AYYAPPA ( 3900 BC )
      29) PROF HYPATIA
      30) SWARBANU
      31) PUTIN
      32) EDWARD SNOWDEN
      33) LI WENLIANG

      CCC) DOWN THE SHIT HOLE----

      1) SUHEL SETH
      2) PRITISH NANDI
      3) DILIP CHERIAN
      4) PRANNOY JAMES ROY
      5) AROON PURIE
      6) VINEET JAIN
      7) SHEKHAR GUPTA
      8) SAGARIKA GHOSE AND HUSBAND RAJDEEP SARDESAI
      9) SHOBHAA DE
      10) SIDHARTH VARADARAJAN AND WIFE NANDINI SUNDAR
      11) KAMALHAASAN
      12) AUDREY TRUSCHKE
      13) NOSTRODAMUS
      14) MANI SHANKAR AIYAR
      15) VERGHESE KURIEN
      16) MS SWAMINATHAN
      17) DEVDUTT PATTANAIK
      18) SANJAY R HEGDE
      19) MARK ZUCKERBERG
      20) JACK DORSEY
      21) THOMAS L FRIEDMAN
      22) ROMILA THAPAR
      23) IRFAN HABIB
      24) RAMCHANDRA GUHA
      25) SHELDON POLLOCK
      26) WENDY DONIGER
      27) BARKHA DUTT
      28) ADMIRAL LN RAMDAS , WIFE LALITA AND DAUGHTER KAVITA.
      29) SWARA BHASKAR
      30) KARAN THAPAR
      31) ADAM D ANGELO
      32) SAINT CRYIL ARCHBISHOP OF ALEXANDRIA
      33) N RAM
      34) GRETA THUNBERG
      35) MK GANDHI
      36) SONIA GANDHI
      37) TED KACZYNSKI
      38) ZOYA HASAN
      39) ASHOK SWAIN
      40) KAVITA KRISHNAN
      41) TEESTA SETALVAD
      42) PRASHANT BHUSHAN

      Capt ajit vadakayil
      ..

    THIS IS NOT A PAPER PRINTED HARD COPY WITH SIGNATURES..

    SIDHARTH VARADARAJAN IS A PAKISTANI ISI SPONSORED TRAITOR.

    THE PAKISTANI ISI CYBER TROLL ARMY ARE ADDING FAKE HINDU NAMES VIA GOOGLE.


    BRAAAAAAYYYYYYYYYYYYY




    Statement on the Proposed Citizenship Amendment Bill
    We are a group of Indian scientists and scholars.
    We are issuing this statement in our personal capacity as concerned citizens to express our dismay at the reported plans to table the Citizenship Amendment Bill 2019 in the parliament. We do not have access to the exact text of the current version of the Bill. Our statement is based on media reports and the text of the previous version of the Bill that was passed by the Lok Sabha in January 2019. Nevertheless, we feel compelled to issue this statement already at this point of time in view of the reports that the Bill may be tabled in parliament early next week and may be taken up for voting in both houses soon after.
    We understand that the Bill seeks to grant citizenship to Hindus, Sikhs, Buddhists, Jains, Parsis and Christians from Afghanistan, Bangladesh and Pakistan. The stated intent of the Bill is to provide refuge to persecuted minorities from neighbouring countries. While we support this laudable objective, we find it deeply troubling that the Bill uses religion as a legal criterion for determining Indian citizenship.
    The idea of India that emerged from the independence movement, and as enshrined in our constitution, is that of a country that aspires to treat people of all faiths equally. The use of religion as a criterion for citizenship in the proposed bill would mark a radical break with this history and would be inconsistent with the basic structure of the constitution. We fear, in particular, that the careful exclusion of Muslims from the ambit of the Bill will greatly strain the pluralistic fabric of the country.
    We note that article 14 of the Indian constitution prohibits the State from denying “to any person equality before the law or the equal protection of the laws within the territory of India.” While it is the job of legal experts to determine whether this draft bill violates the letter of the constitution, it seems certain to us that it violates its spirit.
    For the reasons mentioned above, we call for the immediate withdrawal of this bill and as its replacement request for appropriate legislation that will address the concerns of refugees and minorities in a non-discriminatory manner.
    Update (11 Dec 2019, 9:05 AM):  The statement continues to be open for additional signatures. Signatures can be added via the Google form:https://docs.google.com/forms/d/1y8w1DkYA6XvmHJS1DPBepX7e0T3IzMYAIIGYVgMoDlk/edit 

    List of Signatories (Name and Affiliation)
    (The institutional affiliations provided here are only for the purpose of identification and do not indicate the official positions of these organizations.)

    Sl no
    Name
    Institution
    1
    Abhishodh Prakash
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    2
    Atish Dabholkar
    International Centre for Theoretical Physics, Trieste
    3
    Sandip Trivedi
    Tata Institute of Fundamental Research, Mumbai
    4
    Shiraz Minwalla
    Tata Institute of Fundamental Research, Mumbai
    5
    Suvrat Raju
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    6
    Rajesh Gopakumar
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    7
    Vipul Vivek
    JNU
    8
    Kabir Husain
    University of Chicago
    9
    Alok laddha
    Chennai Mathematical Institute
    10
    Pranav Kumar
    Formerly at IISER Pune
    11
    Rahul Varman
    IIT Kanpur
    12
    Adhip Agarwala
    Icts
    13
    Debraj Chakrabarti
    Central Michigan University
    14
    ABHIJITH M S
    IIT HYDERABAD
    15
    Sumi Krishna
    Independent scholar
    16
    Satyajit Rath
    Indian Institute of Science Education and Research, Pune
    17
    Priyadarshi Paul
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    18
    Ramesh Sreekantan
    Indian Statistical Institute Bangalore
    19
    Sriram Ganeshan
    The City College of New York
    20
    Debaditya Bhattacharya
    Kazi Nazrul University, West Bengal
    21
    SHIBASHIS PAUL
    Indian Association for the Cultivation of Science
    22
    Utsav Choudhury
    Indian Statistical Institute
    23
    S GANGA PRASATH
    Harvard University
    24
    Chandramouli Chowdhury
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    25
    Debasis Mondal
    Centre for quantum technologies
    26
    Harith Makkapati
    Birla Institute of Technology and Science
    27
    Mohan
    Indian Statistical Institute
    28
    Vineeta Bal
    IISER, Pune
    29
    Koel Das
    IISER Kolkata
    30
    Pinaki Banerjee
    IIT Kanpur, India
    31
    Tanmay Deshpande
    Tata Institute of Fundamental Research, Mumbai
    32
    Naveen Gaur
    Dyal Singh College (University of Delhi)
    33
    Omkar Shetye
    ICTS
    34
    Reeteka Sud
    NIMHANS
    35
    Koushik Dutta
    IISER, Kolkata / SINP, Kolkata
    36
    Aritra Bhattacharya
    IMSc
    37
    Sabyasachi Chatterjee
    All India People's Science Network
    38
    Subhayan Sahu
    University of Maryland, College Park
    39
    Avani Chokshi
    Advocate at Manthan Law
    40
    Dr Sylvia Karpagam
    Public health doctor and researcher
    41
    Jyotsna jha
    CBPS
    42
    Tanmoy Sengupta
    Institute of mathematical science
    43
    Manohar Ranganathan
    Human Rights Defenders Alert (HRDA)
    44
    Mirza Barkathulla Baig
    jnc
    45
    Arpan Kundu
    The Institute of Mathematical Sciences, Chennai
    46
    Dibyajyoti Chakravarti
    Indian Association for the Cultivation of Science
    47
    debjani sengupta
    IP College, DU
    48
    Rahul Siddharthan
    The Institute of Mathematical Sciences, Chennai
    49
    Enakshi Bhattacharya
    IIT Madras
    50
    Alladi Sitaram
    Indian Statistical Institute(Retired)
    51
    Alokmay Datta
    CSIR-CGCRI
    52
    Ameet parameswaran
    Jawaharlal Nehru University
    53
    Gaganjot
    IIT Kanpur
    54
    S.Q.Masood
    Centre for Peace Studies
    55
    Mahuya Datta
    Indian Statistical Institute, Kolkata
    56
    Deepak Malghan
    Indian Institue of Management Bangalore
    57
    Sanjib Sabhapandit
    Raman Research Institute, Bengaluru
    58
    Shubha Tewari
    University of Massachusetts, Amherst
    59
    Nilanjan Bondyopadhaya
    Visva-Bharati University
    60
    Samriddhi Sankar Ray
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    61
    Raktim Abir
    Aligarh Muslim University
    62
    Aritra Sinha
    Jagiellonian University, Krakow
    63
    Balasubramaniam K. M.
    Citizen of India
    64
    Anil Jagalur
    Individual
    65
    Bindhulakshmi Pattadath
    Tata Institute of Social Sciences, Mumbai
    66
    P K Vijayan
    Hindu College, Delhi University
    67
    Haris M K
    Nikhef Amsterdam
    68
    Zoya Hasan
    Professor Emerita, Jawaharlal Nehru University
    69
    Subhadip Chakraborti
    International Centre for Theoretical Sciences
    70
    Shanta Laishram
    Indian Statistical Institute, Delhi
    71
    Sridevi Venkatesan
    University of Toronto
    72
    Patrick Das Gupta
    University of Delhi
    73
    Madhusudhan Raman
    TIFR, Mumbai
    74
    Abid Faheem
    Jawaharlal Nehru University
    75
    Karen Gabriel
    St Stephen's College
    76
    Soumik Mukhopadhyay
    IIT Kanpur
    77
    Debdutta Paul
    Max Planck Institute for Gravitational Physics, Hannover, Germany
    78
    Manali Chakrabarti
    Independent Researcher
    79
    Manav Gaddam
    Institute of Mathematical Sciences
    80
    Nandita Narain
    St.Stephen's College
    81
    Vijaya
    Working with migrant workers and their children's health and education
    82
    Hema A Murthy
    IIT Madras
    83
    Sandeep Pandey
    Socialist Party (India)
    84
    Mohammad Zaid Zaz
    TIFR
    85
    M Madhava Prasad
    EFL University, Hyderabad
    86
    U. K. Anandavardhanan
    IIT Bombay
    87
    Surbhi Shrivastava
    Centre for Enquiry into Health and Allied Themes (CEHAT)
    88
    Rajat Tandon
    None
    89
    Naresh Dadhich
    Inter-University Centre for Astronomy and Astrphysics (IUCAA), Pune
    90
    R. Shankar
    The Institute of Mathematical Sciences
    91
    Abhishek Dhar
    ICTS, Bangalore
    92
    Uddeepta Deka
    ICTS, Bengaluru
    93
    Md Arif Shaikh
    ICTS-TIFR
    94
    Subham Rath
    Alumni CAOS, IISc Bangalore (2014-2016)
    95
    Sumit Kumar
    Max Planck Institute for Gravitational Physics, Albert Einstein Institute, Hannover
    96
    Poulami Chakraborty
    Max-Planck Institute for Iron Research GmbH
    97
    Prashant Kocherlakota
    Institute of Theoretical Physics, Frankfurt University
    98
    Prasad
    Cotton University
    99
    SUBRATA DEV
    irstea, antony, paris
    100
    Ritam Basu
    Snbose national centre
    101
    Sneha Visakha
    Lawyer
    102
    Suranjan Sinha
    Formerly Delhi School of Economics, Department of Sociology and Hindu College; independent researcher, development sector.
    103
    RUKMINI BHAYA NAIR
    IIT Delhi
    104
    Subramanya Hegde
    Harish-Chandra Research Institute
    105
    Sumit Rout
    Visva Bharati University alumnus
    106
    Shobha Madan
    IIT GOA
    107
    Mainul Hossain
    Visva-Bharati
    108
    Arghya Das
    ICTS-TIFR, Bangalore
    109
    Masud Tarafder
    Banaras Hindu University
    110
    Vikas Dubey
    IIT Kanpur
    111
    Rossi D'Souza
    HBCSE - TIFR, Mumbai
    112
    Rituparna Mandal
    S.N. Bose National Centre for Basic Sciences
    113
    Anirban Mukherjee
    Search Results Web result with site links S. N. Bose National Centre for Basic Sciences
    114
    Sumilan Banerjee
    Indian Institute of Science
    115
    Narayanan Menon
    U of Massachusetts
    116
    Abha Jeurkar
    Tata Institute of Social Sciences
    117
    Kanaya Malakar
    Brandeis University
    118
    Nabadyuti Barman
    JNCASR
    119
    Prashant Singh
    ICTS-TIFR
    120
    Nirmalya Kajuri
    CMI
    121
    Nissim Kanekar
    National Centre for Radio Astrophysics, Pune
    122
    anirban goswami
    SN Bose National Centre for Basic Science
    123
    Aditya Kumar Sharma
    International Centre for Theoretical Sciences
    124
    Mohamed Rameez
    Niels Bohr Institute
    125
    Ananyo Maitra
    Sorbonne University
    126
    Jyoti Punwani
    None
    127
    Shibendu Gupta Choudhury
    Indian Institute of Science Education and Research Kolkata
    128
    Malabika Majumdar
    None at present
    129
    Nilanjana Dasgupta
    University of Massachusetts
    130
    Ranita Jana
    Raman Research Institute
    131
    Apoorv Tiwari
    University of Zurich
    132
    Adfer
    Harvard University
    133
    Arindam Mazumdar
    IIT Kharagpur
    134
    Salman Alam
    Brandeis University
    135
    Amitava Banerjee
    University of Maryland, College Park, USA
    136
    Ganesh C. Paul
    Institute of Physics, Bhubaneswar
    137
    Shinjon Chatterjee
    INDIAN STATISTICAL INSTITUTE
    138
    ajay skaria
    university of minnesota
    139
    Sunip Kumar Mukherjee
    University of Massachusetts Lowell
    140
    Saientan Bag
    Karlsruhe Institute of Technology, Germany
    141
    Kaustav Mitra
    Yale University (New Haven, C.T., U.S.A.)
    142
    PRIYANKA SAHA
    S. N. Bose National Centre for Basic Sciences
    143
    Ashesh Dhawale
    Harvard University
    144
    Srinivas Mushnoori
    Rutgers University
    145
    Pritam Palit
    Saha Institute of Nuclear Physics, Kolkata
    146
    Oindrila Deb
    University of Basel
    147
    Rimsha Hamza
    National Law School of India University Bengaluru
    148
    Nur Jaman
    Centre for Theoretical Physics, Jamia Millia Islamia
    149
    INDRANI NAYAK
    IIT Bombay
    150
    ANANYA KUMAR
    Member, All India Students' Association, University of Hyderabad UNIT
    151
    Shamreen Iram
    Case Western Reserve University
    152
    Soumyajit Bose
    Cornell University
    153
    Bhanu Das
    Tokyo Institute of Technology
    154
    Suresh Govindarajan
    IIT Madras
    155
    Aradhana Anu Sharma
    Wesleyan University
    156
    AL FURQAN SHAH KHAN
    SHIV NADAR FOUNDATION
    157
    Muhammad Alibordi
    IIT Madras
    158
    Gautam Gangopadhyay
    University of Calcutta
    159
    Sanaa Agarwal
    University of Colorado Boulder
    160
    Aurnab Ghose
    Indian Institute of Science Education and Research, Pune
    161
    Joe Ninan
    The Pennsylvania State University
    162
    R Geeta
    Delhi University (Retired)
    163
    Rafael Sorkin
    Raman Research Institute, Bengaluru (Visiting Professor)
    164
    Fiaz Babu
    Indian Institute of Technology
    165
    Anna Oommen
    Gudalur Adivasi Hospital
    166
    Nalini Nayak
    PGDAV (Morning) College, Delhi University
    167
    Siddharth K J
    Independent Scholar, Bengaluru
    168
    Nalini Nayak
    PGDAV (M) College
    169
    Inderpal Grewal
    Yale University
    170
    Vignesh M
    National Law School of India University
    171
    V. S. Sunder
    Institute of Mathematical Sciences (IMSc)
    172
    Pulin B Nayak
    Delhi School of Economics
    173
    Prof.Mohan Rao
    Independent researcher in Bangalore
    174
    Kripa G
    Azim Premji University
    175
    Ashoke Sen
    HRI
    176
    Sumathi Rao
    Harish-chandra Research Institute
    177
    Nandini Sundar
    Delhi University
    178
    Amit Singh
    Indian Institute of Technology Bombay
    179
    Anand Zachariah
    Christian Medical College Vellore
    180
    Amber Habib
    Shiv Nadar University
    181
    Chayan Chatterjee
    University of Western Australia
    182
    Supratik Chakraborty
    IIT Bombay
    183
    Dr. Mira Shiva
    Public Health Physician
    184
    Vasundhara Rangaswamy
    Health Professional, Independent
    185
    Tulsi Srinivasan
    Azim Premji University
    186
    ML Murty
    Self
    187
    A.P.Balachandran
    Physics Department, Syracuse University,Syracuse, New York, USA
    188
    Amitabha Lahiri
    S. N. Bose National Centre for Basic Sciences
    189
    Rajaram Nityananda
    Azim premji Univrsity
    190
    Mayurika Lahiri
    IISER, Pune
    191
    Neeraj Malik
    Delhi University
    192
    Javed Malick
    Delhi University
    193
    Anupama Potluri
    University of Hyderabad
    194
    Rahul Roy
    Indian Statistical Institute, Delhi
    195
    K. Laxminarayana
    University of Hyderabad
    196
    Mohammad Imtiyaj Khan
    Gauhati University
    197
    Agniva Roychowdhury
    University of Maryland, Baltimore County
    198
    Saikat Ghosh
    IIT Kanpur
    199
    Ravinder Banyal
    IIA, Bangalore
    200
    Anirban Dasgupta
    IIT Gandhinagar
    201
    SUMAN KUNDU
    TATA INSTITUTE OF FUNDAMENTAL RESEARCH
    202
    DIBYASANKAR DAS
    TATA INSTITUTE OF FUNDAMENTAL RESEARCH, MUMBAI
    203
    Shubhra Chaturvedi
    Artist (Self employed)
    204
    Dr. Anubha Mukherji Sen
    Deen Dayal Upadhyay College , University of Delhi
    205
    Harbans Mukhia
    Formerly JNU
    206
    Banani Mukhia
    Kamala Nehru College, Delhi University
    207
    Palani raja
    Madras Medical College
    208
    Priya Mahadevan
    S.N.Bose National Centre for Basic Sciences
    209
    Parameswaran Ajith
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    210
    Rajshree Chandra
    Delhi University
    211
    Mostafizur Rahman
    Jamia Millia Islamia
    212
    Dhiraj Tapader
    Snbncbs
    213
    Sabana Shabnam
    National Institute of Science Education and Research, Bhubaneswar
    214
    Poonam kanwal
    Delhi University , Jank Devi Memorial College
    215
    Dr Vandana Prasad
    Jan Swasthya Abhiyan
    216
    Sandeep Rana
    NISER
    217
    Debarshi Das
    IIT Guwahati
    218
    Vikas Dhiman
    Contextual Robotics institute, University of California, San Diego
    219
    Shuvayu Roy
    National Institute of Science Education and Research
    220
    Harish C Karnick
    IIT Kanpur
    221
    Rama Govindarajan
    ICTS
    222
    Charu Soni
    Independent journalist and researcher
    223
    Manoar Hossain
    NISER
    224
    Ashish V
    NISER, Bhubaneswar
    225
    Abha Dev Habib
    Miranda House, DU
    226
    Parthajit Biswas
    NISER Bhubaneswar
    227
    DIPAYANI SAIN
    MCH
    228
    NISHIKANTA KHANDAI
    NISER, Bhubaneswar
    229
    Sunil Mukhi
    IISER Pune
    230
    Swayamsidha Mishra
    National Institute of Science, Education and Research, Bhubaneswar
    231
    Salil Javed V P
    National institute of science education and research
    232
    Vaibhav Vaish
    IISER Mohali
    233
    Ranjini Mondol
    Indian institute of science
    234
    Supratim Chatterjee
    National institute of science education and research
    235
    Kuldeep Kumar Pal
    National Institute of Science Education and Research
    236
    Diptanil Roy
    Rutgers University. Formerly of National Institute of Science Education and Research.
    237
    Partho Sarothi Ray
    Indian Institute of Science Education and Research Kolkata
    238
    Tejus S
    National Institute of Science Education and Research
    239
    Ritajyoti Bandyopadhyay
    IISER Mohali
    240
    Arideep Saha
    International Centre for Theoretical Sciences, TIFR, Bengaluru
    241
    Ritajyoti Bandyopadhyay
    IISER Mohali
    242
    Souvik Bandyopadhyay
    Indian Institute of Technology Kanpur
    243
    Ranit Karmakar
    IIT Kharagpur
    244
    Sk Jamaluddin
    IIT BHUBANESWAR
    245
    Ruplekha Khullar
    Janki Devi Memorial College, Delhi University
    246
    Shivali Tukdeo
    National Institute of Advanced Studies
    247
    Varadharajan Muruganandam
    NISER, Bhubaneswar
    248
    Srashti Goyal
    International Center for Theoretical Sciences Bangalore
    249
    Prerana Biswas
    IISc Bangalore
    250
    Rajesh V
    IISER Mohali
    251
    Akif
    University of Hyderabad
    252
    Arup Lal Chakraborty
    IIT Gandhinagar
    253
    Suchetan Das
    RKM Vivekananda Educational and Research Institute
    254
    Sudipta Sarkar
    IIT Gandhinagar
    255
    Nilanjandev Bhaumik
    IISc Bangalore
    256
    Ritwick Sarkar
    Raman Research Institute
    257
    Gautam Mandal
    Tata Institute of Fundamental Research, Mumbai
    258
    Subhadip Biswas
    University of Sheffield
    259
    ABHISHEK GHADAI
    Raman Research Institute
    260
    Subhroneel Chakrabarti
    IMSc, Chennai
    261
    Sanskriti Das
    The Ohio State University
    262
    Procheta Mallik
    Innovation and Science Promotion Foundation
    263
    Anwesha Sengupta
    Institute of Development Studies Kolkata
    264
    Partha Sarathi Rana
    Indian Institute of Science
    265
    Zinnia Mallick
    Institute of Nano Science and Technology
    266
    Abhigyan Hazarika
    Indian Institute of Science
    267
    Gopa Sardar
    IIT Bombay
    267
    Sudipta Das
    Institute of Physics,Bhubaneswar
    268
    Sudeb Ranjan Datta
    Indian Institute of Science
    269
    Anindya
    Raman research institute
    270
    INDRANI NAYAK
    IIT Bombay
    271
    Krishanu Dan
    National Institute of Science Education and Research, Bhubaneswar
    272
    Mandar Deshmukh
    TIFR, Mumbai
    273
    Rajendran Narayanan
    Azim Premji University, Bangalore
    274
    Hironmoy Malakar
    Netaji Subhash Engineering College
    275
    Sumithra
    Indian Institute of Science
    276
    Sanchari Pal
    IIT Kanpur
    277
    HIMADRI ROY
    IIT Kanpur


    278         Faruk Abdulla    Harish-Chandra Research Institute, Allahabad
    279         Ramani Atkuri    Independent Public Health Professional
    280         Subham Dutta Chowdhury          TIFR, Mumbai
    281         Tilak Sinha           Narasinha Dutt College
    282         Tamaghna Hazra               Ohio State University
    283         Piyali Ganguly    Inter-University Centre for Astronomy and Astrophysics
    284         S. Srinivasan       LOCOST/SAHAJ
    285         Sharmistha M.   IIT Gandhinagar
    286         Sayantani Bhattacharyya              NISER Bhubaneshwar
    287         Soumangsu Chakraborty              TIFR
    288         Shashank Patole               NISER Bhubaneswar
    289         Aswin V                IISER-Berhampur
    290         Aninda Sinha      IISc
    291         Suratno Basu     Chennai Mathematical Institute
    292         Dileep Jatkar      Harish-Chandra Research Institute
    293         Gorky Chakraborty          IDSK
    294         Somil Agarwal    NISER, Bhubaneswar
    295         Rajdeep Sensarma          Tata Institute of Fundamental Research, Mumbai
    296         Sudip Chakraborty           TIFR, Mumbai
    297         Abinash Barthakur           University of Hyderabad
    298         Shoaib Hashmi  Jamia Millia Islamia
    299         Deepak DSouza                Indian Institute o Science, Bangalore
    300         AMIYA MISHRA                TATA INSTITUTE OF FUNDAMENTAL RESEARCH, MUMBAI
    301         Satyaki Chowdhury         National institute of science education and research
    302         Pratik Sinha        IISER Berhampur
    303         Amitabh Virmani              CMI
    304         Alam Khan          IISc
    305         Suvankar Dutta IISER Bhopal
    306         Nabamita Banerjee         IISER Bhopal
    307         Harish Kumar Senapati  IISER Berhampur
    308         Danish  JNU
    309         Wali Hossain       KNU
    310         Soumya Ranjan Das        NATIONAL INSTITUTE OF SCIENCE EDUCATION AND RESEARCH, BHUBANESWAR
    311         SHUDDHABRATA SENGUPTA      Unaffiliated
    312         Jesminara Khatun            Indian Institute of Science
    313         Aditya Prasad Dash         IISER Berhampur
    314         D C V Mallik        Indian Institute of Astrophysics, Bangalore
    315         Rupkatha Biswas              Passed out
    316         Adway Majumdar            National Institute Of Science Education and Research,Bhubaneswar
    317         Sana Afrin           Indian institute of technology Kanpur
    318         Debodirna Ghosh            Chennai Mathematical Institute
    319         Subhashis Banerjee        IIT Delhi
    320         Venakata Lokesh             Indian Institute of Science
    321         MD SAZEDUR RAHAMAN LASKAR             Tata Institute of Fundamental Research
    322         Amar Jesani        Nil
    323         Vinod Vyasulu   Centre for Budget and Policy Studies, Bangalore
    324         Arpita Mondal   IIT Delhi
    325         Anup Kumar Mondal      HCLT
    326         Aiendrila Roy     IISER BERHAMPUR
    327         Soubhagya Ranjan Majhi              IISER BERHAMPUR
    328         Subhrata Behera              INDIAN INSTITUTE OF SCIENCE AND EDUCATIONAL RESEARCH BERHAMPUR
    329         COLIN BENJAMIN            National Institute of Science Education and Research, HBNI, Jatni 752050, India
    330         Praneet Nandan               NISER, Bhubaneswar
    331         Debasis Sadhukhan         Institute of Physics, Jagiellonian University, Krakow
    332         Arnab Ghorui     Tata Institute of Fundamental Research
    333         Saumya Gupta  JDM College, Delhi University
    334         Ayush Parag       NISER
    335         Om Damani        IIT Bombay
    336         Rakesh Das         National University of Singapore
    337         SANDIPAN BORTHAKUR               Physical Research Laboratory, Ahmedabad
    338         SUNIL KUMAR SAKE       T.I.F.R, Mumbai
    339         Aneesh P B         Chennai Mathematical Institute
    340         Subhro Bhattacharjee    ICTS-TIFR
    341         Mahammad Mustakim  NISER Bhubaneswar
    342         Pulkit Joshi          Tata Institute of Fundamental Research, Mumbai
    343         Saili Dutta            NISER, Bhubaneswar
    344         Probal Dasgupta               Retd 2018 from Indian Statistical Institute, Kolkata
    345         Sobha Rani T      University of Hyderabad
    346         Suraj Sahoo        NISER
    347         Agnibh Dey         The Ohio State University
    348         Deepak Kumar  NISER
    349         Sanjoy Paul         Tata Institute of Fundamental Research
    350         Govindarajan     Chennai Mathematical Institute
    351         Lachit Saikia        Indian Institute of Science, Bangalore
    352         Debdatta Chowdhury    Centre for Studies in Social Sciences Calcutta
    353         Mihir Pandey     Ramjas College, University of Delhi
    354         Bhavtosh Bansal               IISER Kolkata
    355         Sk Bubai Rahaman           TIFR
    356         Prof. M.H.Qureshi           Retired Prof. J.N.U, New Delhi
    357         Surojit paul         Tata Institute of fundamental research
    358         Pavithraa Seenivasan     Indian Institute of Science (IISc)
    359         Sk Bubai Rahaman           TIFR
    360         Sayali Atul Bhatkar           IISER Pune
    361         Ritajit Kunu         IIT Kanpur
    362         Prof.M.H.Qureshi            Retired Processor, J.N.U.New Delhi
    363         Subhajit Sinha   TIFR, Mumbai
    364         Jishnu Biswas     Indian Statistical Institute, Bangalore Centre
    365         Emroj Hossain   TIFR, Mumbai
    366         ABHIJIT MONDAL             TATA INSTITUTE OF FUNDAMENTAL RESEARCH
    367         Rema Krishnaswamy      Azim Premji University
    368         ABHIJIT KUMAR NAYAK                IISER BERHAMPUR
    369         Imon Mandal     TIFR,Mumbai
    370         Baibhav Singari  NISER
    371         Gautam Saikia   Indian Institue of Science
    372         Mahaveer prasad            ICTS-TIFR
    373         Dipak Maity        Institute of Physics, Bhubaneswar
    374         Shantonu Mukherjee    S N Bose National Centre For Basic Sciences
    375         Sharannyo Banerjee       Institute of Development Studies Kolkata
    376         Jyotirmoy            IISc
    377         Mehedi Masud Institute of Physics, Bhubaneshwar
    378         Deepak K Dinkar               Tata Institute of Fundamental Research, Mumbai
    379         Anindita Ghoshal             Diamond Harbour Women's University
    380         Masud Hassan   IISER Berhampur
    381         Pushpak Pandey              NISER Bhubaneswar
    382         Samata Biswas  The Sanskrit College and University, Kolkata
    383         Jyotirmoy Bhattacharya                IIT Kharagpur
    384         Krishna AchutaRao          IIT Delhi
    385         TANMOY Bera   Indian Institute of Science, Bangalore
    386         Aravind T S          TIFR
    387         Eeshan Modak  TIFR
    388         Ranjini Bandyopadhyay Raman Research Institute
    389         Tousif Islam        University of Massachusetts
    390         Souvik Jana         ICTS-TIFR
    391         Lucky Kapoor     Tata Institute of Fundamental Research
    392         Shamik Banerjee              IOP, Bhubaneswar
    393         Chitra Saini          JNU
    394         Shauri Chakraborty         University of Saarland
    395         NAMRATA PRUSTY          NISER JATNI ODISHA
    396         A, Sanyal              IIT Bombay
    397         Basudeb Mondal              International Center For Theoretical Sciences, Bengaluru
    398         Saranyo Moitra Tata Institute of Fundamental Research, Mumbai
    399         Nilay Kundu        IIT Kanpur
    400         VIshnu T R           Chennai Mathematical Institute
    401         Deepankar Basu               University of Massachusetts Amherst
    402         Nilay Kundu        IIT Kanpur
    403         Sumit Roy            TIFR, Mumbai
    404         Sriram Narayanan            NCBS, Bangalore
    405         Sukanta Das       TIFR , Mumbai
    406         Abid Zafar           JNU
    407         Joya Ghosh Dastider       IIT Guwahati
    408         K. J. Joy                Water activist-researcher
    409         Sujoy Chakraborty           TIFR, Mumbai
    410         Venu Madhav Govindu Indian Institute of Science
    411         SP Rajaguru        Indian Institute of Astrophysics
    412         Prajwal HP          CMS, Bangalore
    413         Saumen Datta   TIFR, Mumbai
    414         Adwait Gaikwad               TIFR, Mumbai
    415         Ranjan Laha        CERN
    416         Dhiman Biswas  IIT Guwahati
    417         Lankeswar Dey TIFR, Mumbai
    418         Loganayagam R ICTS-TIFR
    419         Suman Chatterjee           Tata Institute of Fundamental Research, Mumbai
    420         Simona Sawhney             IIT-Delhi
    421         Manu    Chennai Mathematical Institute
    422         Tanusree Roy    Indian Institute of Engineering Science and Technology
    423         RWIK DHARMAPAL BANERJEE    SCOTTISH CHURCH COLLEGE
    424         Prabuddho Mukherjee INMAS, DRDO
    425         Sayan Biswas     IIT Gandhinagar
    426         S.P. Rajaguru     Indian Institute of Astrophysics
    427         Mihir Sheth        Tata Institute of Fundamental Research, Mumbai
    428         Indranil Ghosh  National Institute of Science Education and Research
    429         Urbashi Sarkar   Assam University
    430         SAWANI DATTA                Tata Institute of Fundamental Research
    431         Antara Datta      JDMC
    432         Biswajit sarkar   IISc Bangalore
    433         Krishna Hanumanthu     Chennai Mathematical Institute
    434         Sabarna palit      IIT Kharagpur
    435         Arijit Sinha          JNCASR
    436         Jayarshi Bhattacharya    SN Bose National Centre for Basic Sciences, SNBNCBS
    437         Sharanya Chattopadhyay             Tata Institute of Social Sciences
    438         Saumav Kapoor                ICTS-TIFR, Bengaluru
    439         Naorem Pushparani Chanu          Institute of Development Studies Kolkata
    440         Pratik Roy            CMI
    441         Gorekh Prasad Sena       National Institute of Science Education and Research
    442         Ishani    IIT Delhi
    443         S. Durga Bhavani              University of Hyderabad
    444         Suman G Das     University of Cologne
    445         Manoj Kumar    Indian institute of technology bombay
    446         Shiv Sethi            Raman Research Institute
    447         Sougata Guha    IIT BOMBAY
    448         Arindam Pramanik           TIFR, Mumbai
    449         Athul George     IIT Bombay
    450         Roopa Dhawan Ramjas College, Delhi University
    451         Aditi Juneja        CHRIST, Bengaluru
    452         SUBIMAN KUNDU           IIT DELHI
    453         Kaniska Singh     IIT bombay
    454         Shalini Karmarkar             Christ University
    455         Sumanta Chakraborty    IACS
    456         Prikshit IISER BERHAMPUR
    457         Jagannath Sutradhar      Indian Institute of Science.
    458         Bisakha Pandey                Gauhati University
    459         Bedabrata Saha                NISER, Bhubaneswar
    460         Prakash Mathews            Saha Institute of Nuclear Physics
    461         Debangshu Mukherjee IISER Bhopal
    462         Anindya Sen       Assam University
    463         AJAY SHARMA   S.N.BOSE NATIONAL CENTRE FOR BASIC SCIENCES
    464         Ankan Sur           Nicolaus Copernicus Astronomical Center, Warsaw
    465         Somak Basistha Tata Institute of Fundamental Research
    466         Irfan      IIT Bombay
    467         Shilpa Samaddar               National Institute of Technology, Agartala
    468         Kushal Chakraborty         IISER BHOPAL
    469         Bibhu Prasad behera      NISER
    470         Abhinav Raj        National Institute of Science Education and Research
    471         Avik Kumar Das Raman Research Institute
    472         Tamal RoyChowdhury    IIT Madras
    473         Jyotsna Jha         CBPS
    474         Ram Krishna Patra           Snbncbs
    475         Tanisha Agarwal               Christ University, Bangalore
    476         Sanat Ghosh      Tata Institute of Fundamental Research, Mumbai
    477         Manoj Puravankara        Tata Institute of Fundamental Research, Mumbai
    478         Sulbia Asif           CHRIST (Deemed to be University)
    479         Priya Iyer             IISc
    480         SATARUPA LAHIRI           Jawaharlal Nehru University
    481         Sriram Ramaswamy        Indian Institute of Science
    482         Sharachchandra Lele      ATREE
    483         Parthiv Haldar    Indian Institute of Science
    484         Rajibul Shaikh    IIT Kanpur
    485         R Ramachandran              IMSc Chennai, IIT Kanpur (Retired)
    486         Dr Md. Zahidul Haque    University of Hyderabad
    487         Abhishek Naskar              ISI, Kolkata
    488         PRAGYANPRASU SWAIN              Institute of Physics, Bhubaneswar, Odisha
    489         Arnab Kundu     saha institute of nuclear physics
    490         Animesh Nanda                ICTS-TIFR
    491         Sujay Ashok       Institute of Mathematical Sciences
    492         Arpitha Gudihinddala Rajeev      Hansraj College, Delhi University
    493         Keshav R Menon              Indian Institute of Science
    494         Gunjan TIFR
    495         Ankita Srivastava              Jawaharlal Nehru University
    496         Ahmadullah Zahed          IISC BANGALORE
    497         Abhijit Chakraborty         National Institute of Science Education and Research
    498         Krishna Rijal        IIT Bombay
    499         Rakesh Ankit      Loughborough University
    500         Suman Prajapati               Banaras Hindu University
    501         Barsha Chowdhury          Indian Institute of Science
    502         Vikram Soni        Jamia Millia
    503         S mondal             Iitism dhanbad
    504         Rahul Kumar Walia          Jamia Millia Islamia
    505         Saswata Ghosh Institute for Development Studies Kolkata
    506         Proteep Mallik  Azim Premji University
    507         Pranjupriya Goswami     Tezpur University
    508         Taniya Mandal   IISER Bhopal
    509         Prasun Dhang    Tsinghua University
    510         Sourav Biswas   IIT Kanpur
    511         Sabarnya MItra Indian Institute of Science
    512         Dharmaraj Deka               Tezpur University
    513         Poulami Nandi   IIT Kanpur
    514         Saswati Bora      Delhi University
    515         Jyotirmoy Mukherjee    Indian Institute of Science.
    516         Ruchi Gamta      Model secondary school for the deaf
    517         Pritha Dolai         ICTS - TIFR
    518         Anindita Brahma              Queen Mary University of London
    519         Syed Naquab A. Jaffri     Tata Institute of Fundamental Research, Mumbai
    520         Sanjit Chatterjee              IISc
    521         Dibya Kanti Mukherjee University Paris Sud
    522         Jaydeep Datta   Tata Institute of Fundamental Research
    523         Raghavan Rangarajan     Ahmedabad University
    524         Shaily Bahuguna               University of Bonn
    525         Swastik C             INDIAN INSTITUTE OF ASTROPHYSICS
    526         Kedar Kolekar    IIT Kanpur
    527         Sandeep Kumar                Indian Institute of Astrophysics, Bangalore
    528         Amit Kumar Mandal        Indian Institute of Astrophysics
    529         Soumyadeep Chaudhuri               The Hebrew University of Jerusalem
    530         Dr Sunil Kaul       the ant
    531         Upamanyu Moitra           Tata Institute of Fundamental Research, Mumbai
    532         Debashis Ghoshal            JNU, New Delhi
    533         Subhojit               IIT Bombay
    534         Siddhartha Ghosh            IIT Bombay
    535         Rahul karmakar snbncbs
    536         Arnab Das           IACS, Kolkata
    537         sumit das             U of Kentucky/TIFR
    538         Disha Bhatia       IACS
    539         Sonu vincent      Jawaharlal nehru university
    540         Himanshu Badhani          IMSc Chennai
    541         Sougata Pal         IISER BERHAMPUR
    542         Arjun Paul           Indian Institute of Technology Bombay, Mumbai
    543         Vinu vincent       Ipu
    544         Aditi Ghosh        Gateway School of Mumbai
    545         Harshpreet kaur               Jemtec school of law greater noida
    546         Partha Paul         CMI
    547         Debajyoti Sengupta        Independent scholar
    548         Supurna Banerjee           Institute of Development Studies Kolkata
    549         Kaustav Chakraborty      Physical Research Laboratory
    550         Mrunmay Jagadale          Chennai Mathematical Institute
    551         Sankha Subhra Bakshi    HRI
    552         Samiran Sen       University of Oslo
    553         Amitabha Ghosh              Calcutta University
    554         Chandranandan Gangopadhyay                The Institute of Mathematical Sciences,Chennai
    555         Rivu Gupta          HARISH CHANDRA RESEARCH INSTITUTE
    556         Aditya Vyas        College of Medical Sciences, SN Medical College
    557         Aparajita Dasgupta          Indian Institute of Technology, Delhi
    558         Gautam G           IIT Bombay
    559         Ratul Mahanta  Harish-Chandra Research Institute, Prayagraj
    560         Shivangi               Jamia Millia Islamia
    561         Suvadip Panda  IIT-ISM Dhanbad
    562         Anamay Tengse                TIFR Mumbai
    563         ARCHISMITA MISRA       Ulm University, Germany
    564         Pratik Majumdar              Saha Institute of Nuclear Physics
    565         Utpalendu Haldar            Indian institute of science
    566         Sayid Mondal     Indian Institute of Technology Kanpur
    567         Mary Ann Chacko            Ahmedabad University
    568         Aishwarya Gudihal          SDM College of Dental Sciences
    569         Ayan Banerjee  IISC
    570         Tamanna Jain     St John's College, University of Cambridge
    571         Sougata Mardanya          Indian institute of technology Kanpur
    572         Dayani Chakravarthy      National Centre for Biological Sciences
    573         Leya Mathew    Ahmedabad University
    574         Krishan JNU
    575         Richard Fernandes          Azim Premji University
    576         Dattaraj Dhuri    Tata Institute of Fundamental Research
    577         Revathi Hareendranath I am a student
    578         RATHEESH T V    The institute of mathematical sciences
    579         Yogesh CTP, Jamia Millia Islamia
    580         Nandini Ghosh  Institute of Development Studies Kolkata
    581         Sreeraj T P          The Institute of Mathematical Sciences
    582         Debajyoti Das    IIT (ISM) Dhanbad
    583         Diksha Jain          SISSA, Trieste
    584         Gautam I Menon             Ashoka University
    585         Biswajit Gorai    IISc, Bangalore
    586         Unmesh Dutta Chowdhury          NISER
    587         Anurag Kaushal TIFR, Mumbai
    588         Khorsed Alam    Harish-Chandra Research Institute, Allahabad
    589         Saikat Sur            IIT Kanpur
    590         Arul Lakshminarayan      IIT Madras
    591         Sourav Roy Chowdhury IIEST
    592         Arnab Rudra       ICTP, Trieste
    593         Md A.K. Azad Siddiki       TIFR, Mumbai
    594         Ashif Reza           TIFR, Mumbai
    595         Ashvin Vishwanath         Harvard University
    596         Sourav Roy Chowdhury IIEST
    597         Pritam Jyoti Borah           Indian Institute of Science
    598         Sadaf Usmani    International School for Advanced Studies Trieste italy
    599         Parul Janagal      Indian Institute of Technology Indore
    600         Tata Satya Pratheek        NISER
    601         Rifa iqbal              niser
    602         Aniket Khairnar University of Mississippi, Oxford
    603         Pratik Tarafdar  S. N. Bose National Centre for Basic Sciences
    604         Anirban Banerjee            National Institutes of Health, USA
    605         SUSOVAN MAITY             Harish-Chandra Research Institute
    606         Bihan Banerjee TIFR, Mumbai
    607         Pavithra S            Independent
    608         Saleem Ahmed JMI
    609         Haris Saeed        Aligarh Muslim University
    610         Pavithra               Independent
    611         Bishal Baran Maity           Tata Institute of Fundamental Research,Mumbai
    612         Rahul Bandyopadhyay   S N Bose National Centre for Basic Sciences
    613         Kornikar Sen      Harish-Chandra Research Institute (HRI)
    614         Tanmoy Mondal               Harish-Chandra Research Institute
    615         MONIDEEPA MAITY        Tata Institute of Fundamental Research
    616         JAGANNATH ROY             NIT Warangal
    617         Annapoorna P K               CSIR-CCMB, Hyderabad
    618         Sthiti Chakrabarti             University of Göttingen
    619         Ramadas N         Chennai Mathematical Institute, Chennai
    620         Jyotishman Bhowmick   Indian Statistical Institute
    621         Shakeel                IIT Kanpur
    622         Ayaz Ahmed      IIT BOMBAY
    623         Pratyusava Baral               Presidency University
    624         Sudipta Dutta    IIT KANPUR
    625         Dharamashi Rabari          Ahmedabad University
    626         Pcpn Hembram NISER Bhubaneswar
    627         Pratik Nandy      Indian Institute of Science
    628         nomaan x            raman research institute
    629         Writabrata Mukherjee  Presidency University
    630         Priya Jadhav       IIT Bombay
    631         ATANU MAITY   Institute of Physics, Bhubaneswar
    632         ABDUL AZIZ        Bodai High School
    633         Sreetama Das    Harish-Chandra Research Institute
    634         Mohit mudgal    IIT KANPUR
    635         SOURAV ACHARYA          IIT(ISM) Dhanbad
    636         Arjun Roy            Leibniz University Hannover
    637         Shahalam            ZJUT
    638         Aritra Narayan Bose        Weizmann Institute of Science
    639         Sahel Dey            Indian Institute of Science
    640         Supriya Pan        Physical Research Laboratory
    641         Ishika Palit           Center for Theoretical Physics of Polish Academy of Science, Warsaw, Poland
    642         Gurinder Singh  Homi Bhabha Centre for Science Education - TIFR, Mumbai
    643         Kousik Bagani    Weizmann Institute of Science, Israel
    644         Subhojit Roy      HRI
    645         Mandeep Rathee            L3S Research Center, Germany
    646         Khursid Alam     Saha Institute of Nuclear Physics
    647         RATUL BANERJEE             HRI,Allahabad
    648         Ananda Dasgupta            IISER Kolkata
    649         Deb Sankar Banerjee     University College London
    650         Nevin    Bengaluru Dr. B R Ambedkar School of Economics
    651         Nurul Hassan     University of Hyderabad
    652         Happy Borgohain             IIT Guwahati
    653         SAGAR CHOWDHURY     IIT MADRAS
    654         Bapan Debnath Raman Research Institute
    655         Jay Deshmukh   Tata Institute for Fundamental Research, Mumbai
    656         MD NUR HOSSAIN MISTRY          BARASAT GOVERNMENT COLLEGE , BARASAT, KOLKATA, INDIA
    657         Soumyajit Pramanick      Calcutta University
    658         Nilanjana kumar               University of Delhi
    659         SOHAIL HRI
    660         Arnab Priya Saha              Harish-Chandra Research Institute
    661         Prof.Mohan Rao               Independent public health researcher
    662         Khursid Alam     Saha Institute of Nuclear Physics
    663         Stephin soy        Delhi University
    664         Dhruv Pathak     The Institute of Mathematical Sciences, Chennai
    665         Arnab Sarkar      IIT Kanpur
    666         Asit Pal Presidency College
    667         Akshat Singh      IP UNIVERSITY
    668         Satyanu Bhadra                TIFR
    669         Priyanka HALDER              Bodai high school
    670         Syed ABM Sultan             Retd PSU Executive, Assam
    671         Abhishek Banerjee         Weizmann Institute of Science
    672         Rabisankar Samanta       Tata Institute of Fundamental Research, Mumbai
    673         Sayanwita Biswas             INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR
    674         Deepak                IIT Kanpur
    675         Monica Katiyar  IIT Kanpur
    676         Sioree   Indian Institute of Astrophysics, Bangalore
    677         Irma Kerketta    Tata Institute of social sciences
    678         Sanjna banerjee               Iisc
    679         Narayan Banerjee           IISER Kolkata
    680         Debades Bandyopadhyay            SINP, Kolkata
    681         Mohini Mullick  Retired IIT Kanpur
    682         Aradhita Chattopadhyaya            Trinity College Dublin
    683         U Abinash Patro               IISERBPR
    684         Shravasti Misra Independent
    685         Chirag Srivastava              Harish-Chandra Research Institute
    686         Vineet Kumar    Hebrew University of Jerusalem
    687         Avisek Das          University of Hyderabad
    688         Shayaneel Nath                Nilratan Sircar Medical College and Hospital
    689         Siddharth Bhandari         Tata Institute of Fundamental Research
    690         Ram Ramaswamy            IIT Delhi
    691         DHAR Sudipta    University of Innsbruck
    692         Ahana Ghoshal HRI
    693         ANANDA GOPAL MAITY                S. N. Bose National Centre for Basic Sciences
    694         Shruti Lal              Individual
    695         DR SUBODH SHARAN GUPTA      Mahatma Gandhi Institute of Medical Sciences, Sewagram
    696         Rajesh Kumar Das            Niser
    697         Mursalin Islam   Tata Institute of Fundamental Research
    698         Sabyasachi Goswami      SISSA, Trieste
    699         SAUBHIK BANDYOPADHYAY        Durgapur Government College, Durgapur -713214, West Bengal
    700         Kritika Singh       IIT Bombay
    701         Shafqat Ul Islam               CTP,JMI
    702         Kaustav Das        IIT(ISM) Dhanbad
    703         Sanat Gogoi        Indian Institute of Science
    704         Biswajit Sahoo   Harish-Chandra Research Institute, Allahabad.
    705         Bittu K Rajaraman            Ashoka University
    706         Olag Pratim Bordoloi       Tezpur University, Assam
    707         Manjunath O K Frankfurt Institute for Advanced Studies, Goethe University
    708         George David    IISER Berhampur
    709         Sankar Prasad Jana          IISER Berhampur
    710         Pratik    IIT KANPUR
    711         Kaushik Bhattacharya     IIT Kanpur
    712         Siddharth Ramachandran             Boston University
    713         Md Saquib Akhtar            Jamia Millia Islamia
    714         Tanay Pathak     Indian Institute of Science
    715         Mohd Amir Hashmi         Jamia Millia islamia
    716         Ishita     IISER KOLKATA
    717         Arghya Mondal Tata Institute of Fundamental Research, Mumbai.
    718         Ghulam mohmad             Institute of nano science and technology (INST)Mohali
    719         Bobby Ezhuthachan        RKMVERI
    720         Ananya Mahapatra         Vssut,Burla
    721         Epsita Chakraborty          Omeo Kumar Das Institute of Social Change and Development, Guwahati
    722         Rhitaja Sengupta              Indian Institute of Science, Bengaluru
    723         Aritra Kundu      Scuola Internazionale Superiore di Studi Avanzati (SISSA) Trieste
    724         Prateek Sharma                Indian Institute of Science
    725         Sridipta Massachusetts Institute of Technology
    726         Varuni P               The Institute of Mathematical Sciences
    727         Md Zahid Ansari               TATA INSTITUTE OF FUNDAMENTAL RESEARCH
    728         B ANANTHANARAYAN   Indian Institute of Science
    729         Claire Noronha  Citizen
    730         Pravabati Chingangbam                Indian Institute of Astrophysics
    731         Ramchandra Phawade   IIT Dharwad
    732         Syed Yusuf Mian              Jawaharlal Nehru University
    733         Aparajita Dasgupta          Ashoka University
    734         Mahan Mj           Tata Institute of Fundamental Research
    735         Roji Pius               Institute of Mathematical Sciences, Chennai
    736         Amlan Das Gupta             O.P. Jindal Global University
    737         Ayan Mukhopadhyay     IIT Madras
    738         Sourav Roy         Syracuse University
    739         Pranav Jeevan P               IIT Bombay
    740         Ayan Mukhopadhyay     IIT Madras
    741         Ankan Paul         Professor of Chemistry
    742         Arundhati Dasgupta        Physics and Astronomy
    743         Sabyasachi Mukherjee  Tata Institute of Fundamental Research, Mumbai
    744         MANUJ MUKHERJEE       Telecom Paris
    745         Manjunath Bestha          Indian Institute of Astrophysics
    746         Suresh Nayak    Indian Statistical Institute, Bangalore
    747         Debasmita Mondal          IISc, Bangalore
    748         Anshuman Borgohain    Tezpur University
    749         Hema Swaminathan       Indian Institute of Management Bangalore
    750         Saikat Karmakar                TIFR, Mumbai
    751         Nirmalya Brahma             Indian Institute of Science
    752         Hariharan Narayanan     TIFR
    753         SOUMYA MUKHERJEE    TIFR
    754         Tulasimohan Molli           TIFR
    755         Sabyasachi Maulik           Saha Institute of Nuclear Physics
    756         Suraj Ali                Saha institute of nuclear physics, kolkata
    757         Sumati Surya      Raman Research Institute
    758         Sandeep Juneja                TIFR
    759         Abdul Ali              IIT Bombay
    760         Bhaskar Biswas Iucaa, Pune
    761         Sujith N S             NISER Bhubaneswar
    762         Surojit Dalui        IIT Guwahati
    763         Sujith N S             NISER Bhubaneswar
    764         Sudarshan Saha                Institute of Physics, Bhubaneswar
    765         Probeshika         Ashoka
    766         Amit Adhikary   Indian Institute of Science
    767         Kazi Rafsanjani Amin      Institut Neel, CNRS
    768         arindam chatterjee         Indian Statistical Institute
    769         Ashis Paul            IIT KHARAGPUR
    770         Deboleena Sengupta     okdiscd
    771         M. V. Ramana    University of British Columbia
    772         ARNAB PAUL     SNBNCBS
    773         Anindya Datta   University of Calcutta
    774         Shiv Prakash Patel           IIT Delhi
    775         Titas Chanda      Jagiellonian University, Kraków, Poland
    776         Dyotona Dasgupta           Delhi School of Economics
    777         Chandan Dasgupta          Indian Institute of Science
    778         Vidya Subramanian         Tata Institute of Social Sciences, Mumbai
    779         Ashok Gupta      Alumnus, IIT Kanpur
    780         Nandini Manjrekar          TISS Mumbai
    781         Ajai Pulianmackal             University of Michigan
    782         Sourjyadeep Chakraborty            JNCASR
    783         Bikash Kanungo                University of Michigan, Ann Arbor, MI USA
    784         Shiladitya mal    Harish Chandra Research Institute
    785         Swati Goswami Shaamil
    786         Dimple Oberoi Vahali     I am an independent activist and I am not a part of an institution
    787         Diamond Oberoi Vahali Ambedkar University Delhi
    788         Maansi Shah      CEPT University
    789         Honey Oberoi Vahali      Ambedkar University Delhi
    790         Aswin p santhosh            Gov medical college trivandrum
    791         Shibaji Roy          Saha Institute of Nuclear Physics
    792         Subhaditya Bhattacharya              IIT GUWAHATI
    793         Naveen Surendran          IIST, Thiruvananthapuram
    794         Arpan Sinha        IOP BHUBANESWAR
    795         Aritra Ghosh      Yale University
    796         Sanchari Goswami           Vidyasagar College
    797         Arun Kumar        Retired Professor of Economics, JNU, N Delhi
    798         Bhargav Oza       Independent Researcher
    799         Arnab Rai Choudhuri      IISc
    800         Dev Desai            Anhad
    801         Anand Sawant   TIFR, Mumbai
    802         Harini Desiraju   Scuola Internazionale Superiore di Studi Avanzati (SISSA)
    803         Kabita Deka        Tezpur University
    804         Nishant Gupta   The Institute of Mathematical Sciences
    805         Shivam Kumar   Visva-Bharati
    806         Suddhasattwa Brahma  McGill University
    807         Zenobia Usmani               Jamia Millia Islamia, New Delhi
    808         Rahul Pandey    visiting faculty, IIM Lucknow
    809         Sriram Srinivasan              IIT Bombay
    810         Surajit Bera         IISc, Bangalore
    811         Hema Swasthi   University of Michigan
    812         Amit Jash             IIT KANPUR
    813         Sashwat Tanay  University of Mississippi
    814         A. P. Shukla        Citizen of India & the Globe
    815         Mohammed Musthafa Anwar    CMTI Bangalore
    816         Nazia Hussain    Indian Institute of science
    817         Mohd Saad         Jamia Hamdard University, New Delhi
    818         Shaima Masood                Faculty Of Law, JaMia Millia Islamia
    819         HUSNA JAN K M               IISc
    820         Kaushik Ghosh  Indian Institute of Science
    821         Raju Gaur            Jagriti Bal Vikas Samiti
    822         Geeta Thatra     PhD Scholar, JNU
    823         Mustansir Barma              TIFR Hyderabad
    824         Simran Sethi       IISER BERHAMPUR
    825         NASRIN BANU   Weizmann Institute of Science
    826         Riddhi Shah        JNU, New Delhi
    827         ANURAG TIWARI             TATA INSTITUTE OF FUNDAMENTAL RESEARCH
    828         Apoorva Nagar  IIST
    829         Swagata Sarkar UM-DAE CEBS, Mumbai
    830         Bithika Karmakar              SINP, Kolkata
    831         Biswajit Datta    University of California Santa Barbara
    832         Shriya S                FIAS
    833         RAJNDRA SAHAI               RETIRED ENGINER
    834         Animesh Chaurasia         National Institute of Science Education and Research, Bhubaneswar
    835         Maryam Haroon              
    836         anindita mondal               IIA
    837         Sumanto Chanda             International Centre for Theoretical Sciences
    838         Anish Ghosh      TIFR
    839         Bheemsehan     IIT KANPUR
    840         Arijit Dey             IIT Madras
    841         Aditi Chaturvedi               Ashoka University
    842         Arkajyoti De       IITD
    843         Ramachandra Guha        Indian Institute of Science
    844         Chandra Kant Mishra      IIT Madras
    845         Soumitra Sengupta         IACS, Kolkata
    846         MERIN ROY         SUNY UMU
    847         Rohit Kumar       IIT Bombay
    848         Shivani Banchariya           Teri-Deakin Nanobiotech Research Centre, India
    849         ARNAB SETH      ICTS-TIFR
    850         Anshumitra Baul               Louisiana State University
    851         Ragini Lall             Harvard University
    852         Shivan Khullar    University of Toronto
    853         Aliya Qureshi     Dyal singh college
    854         R.T. Srinivasan   University of Arizona
    855         Debraj Bose       HRI
    856         Nirnoy Basak      HRI
    857         Abhiruk Lahiri    University of Haifa
    858         Prerona Chatterjee         TIFR Mumbai
    859         Sk Jahanur Hoque            Chennai Mathematical Institute
    860         Rita Majumdar  Indian Institute of Technology, Delhi
    861         Surajit Sengupta               Tata Institute of Fundamental Research
    862         Arghya Chattopadhyay  Institute of Mathematical Sciences, Chennai
    863         Kannabiran Seshasayanan           CEA Saclay, France
    864         Suchitra Mathur               IIT Kanpur
    865         Aahana Ganguly               National Center for Toxicological Research
    866         KANHU KISHORE NANDA             TIFR
    867         Md Fuzail Jawaid              IKG PTU
    868         Shihabudheen K               MES Kalladi College, Mannarkkad, Palakkad
    869         Dibya Sankar Chattopadhyay      Tata Institute of Fundamental Research, Mumbai
    870         Jaikumar Radhakrishnan               Tata Institute of Fundamental Research, Mumbai
    871         Tabish Qureshi  CTP, Jamia Millia Islamia, Delhi
    872         Akash K Mishra IIT Gandhinagar
    873         Reuben George Stephen             STMicroelectronics, Singapore
    874         Dr. Ahmad Cameron       Retired
    875         Senthil Todadri  MIT
    876         Nidhin Joseph   Self
    877         Palash Baran Pal               University of Calcutta
    878         S.G.Dani               TIFR (Retired)
    879         Sudipta Maiti     Tata Institute of Fundamental Research
    880         Krishnendu Sengupta    Indian Association for the Cultivation of Science
    881         Joby Joseph       University of Hyderabad
    882         Priyanka Lamba                Indian institute of science, Bengaluru
    883         Rakesh Ranjan  SRCC, University of Delhi
    884         Seema  IIT Madras
    885         Bireshwar Roy   Indian Institute of Science, Bangalore
    886         PURBA MUKHERJEE        IISER Kolkata
    887         Subashri               IMSc
    888         Ishan Santra       Homi Bhabha Centre for Science Education, Tata Institute of Fundamental Research
    889         Niraja G. Jayal    Jawaharlal Nehru University
    890         Sowmya Dechamma C C               University of Hyderabad
    891         Suman Dutta      The Institute of Mathematical Sciences, Chennai
    892         saiyad Ashanujjaman     Institute of Physics, Bhubaneswar
    893         FABIL K IIT MADRAS
    894         Ramprasad Saptharishi  Tata Institute of Fundamental Research
    895         Sudipta Mukherji             Institute of Physics
    896         Bithika  ICTP Saifr
    897         Dilip D'Souza      Independent Writer
    898         Vinod Prabhakaran         TIFR Mumbai
    899         Chandan Kumar Jana      ICTS-TIFR
    900         K. G. Arun           Chennai Mathematical Institute
    901         Kinjal Banerjee BITS
    902         Yogindra Monan Sengupta          Citizen
    903         Srimanta Banerjee          Tata Institute of Fundamental Research, Mumbai
    904         ANUP PARCHURE            Yale School of Medicine (Dept of Cell Biology)
    905         HANNA AMEENA M.A   IISER Thiruvananthapuram
    906         Somnath Chakraborty    TIFR Mumbai
    907         Amit Misra          CSIR-Central Drug Research Institute
    908         Abinash Sahu     IIT Madras
    909         Ashwini Deshpande        Ashoka University
    910         Prabhat Solanki IISc, Bengalore
    911         Atanu Bhatta     Indian Institute of Science, Bengaluru
    912         Arghya Sadhukhan          University of Maryland
    913         Arjun Bagchi       IIT Kanpur
    914         BUBUNU BISWAL             IIT Madras
    915         Sayani Chatterjee            JNCASR, Bangalore
    916         Inzemamul Haque           Indian Institute of Science, Bangalore (IISc)
    917         Vivek Mehta      Tezpur University
    918         Manik Banik       S. N. Bose National Centre for Basic Sciences
    919         Satyajit Mayor   National Centre for Biological Sciences (TIFR) Bangalore
    920         T.N. Prakash Kammardi University of Agricultural Sciences, GKVK (Retired)
    921         Fahad P                Cochin University of Science And Technology
    922         Subhasish Bag   IIT Delhi
    923         Smarajit Karmakar           Tata Institute of Fundamental Research, Hyderabad
    924         Subhajit Ghosh Tata Institute of Fundamental Research, Mumbai
    925         Jones Joy Panicker          INO/ Homi Bhabha National Institute
    926         Sudha Nagavarapu          Independent Researcher
    927         Bibhabasu De    IOP, Bhubaneswar
    928         Gaiti Hasan         National Centre for Biological Sciences
    929         Mahammad Sabir Ali      TIFR, Mumbai
    930         Anand Raman    NISER, Bhubaneswar
    931         Srikanth Sastry  JNCASR, Bengaluru
    932         Y.K.Sandhya       HealthWatch Forum
    933         Srikanth Srinivasan          IIT Bombay
    934         Arudra Burra      IIT Delhi
    935         N. Raghavendra                Harish-Chandra Research Institute
    936         Nirupam Roy      Indian Institute of Science
    937         Anoop V. P.        ISI Bangalore
    938         Neha Sangwan  Tata institute of fundamental research
    939         URVASHI NAKUL              IIT-MADRAS
    940         Sandesh               Tata Institute of Social Sciences
    941         Vishwesha Guttal            Indian Institute of Science, Bengaluru
    942         Shyista Khan      University of Delhi
    943         Parthasarathi Majumdar               IACS, Kolkata
    944         Abhirup Ghosh MPI-GP, AEI-Potsdam
    945         PRADEEP KUMAR            IIT Kanpur
    946         Samudra Sur      Indian Institute of Science
    947         Diksha Kumari   Tata Institute of Fundamental Research
    948         Prasad Subramanian       IISER Pune
    949         Pooja Prasad      IIT Bombay
    950         Partha PratimRoy             Center for Physics Education Research
    951         Nijil Lal C K           Physical Research Laboratory, Ahmedabad
    952         VISHAL VATSA   Tata Institute of Fundamental Research (TIFR)
    953         Susmita Chakravorty      I am an unaffiliated scientist
    954         Pallavi Roy           SOAS University of London
    955         Abhijit Kar Gupta             Panskura Banamali College
    956         Banibrata Majumder      Jadavpur University
    957         Suhail Ahmad Rather      IIT Madras
    958         Chaitanya Joshi Brandeis University
    959         Hemangi S. Bhonsle        Tata Institute of Fundamental Research, Mumbai
    960         Shalin Jose          IISER Thiruvananthapuram
    961         Kolluru Venkata Kiran    Indian Institute of Science, Bangalore
    962         Dipendra Prasad               IIT Bombay, Mumbai
    963         Aaditya Ramdas                Carnegie Mellon University
    964         ATANENDU SEKHAR MANDAL    CSIR-Central Electronics Engineering Research Institute
    965         Sugata Mondal  Tata Institute of Fundamental Research, Mumbai
    966         anirban dinda    NISER
    967         Sumit Kumar Birwa          International Centre for Theoretical Sciences, Bengaluru
    968         Siva Nasarayya Chari S.  JNCASR
    969         Saumia JINR, Dubna
    970         Deepika Choubey            UNESCO- Regional Centre for Biotechnology
    971         Deepak kumar sahu        TIFR
    972         Rudranil Basu     BITS Pilani, KK Birla Goa Campus
    973         Anindya Ganguly              TIFR, Mumbai
    974         Varun sharma    Prl Ahmedabad
    975         Aditya Chowdhury          National Centre for Radio Astrophysics (NCRA-TIFR)
    976         Monoj Adhikari JNCASR
    977         Faraz Ahmed Inam          Department of Physics, Aligarh Muslim University
    978         G Rajasekaran   Institute of Mathematical Sciences, Chennai
    979         Joy Chatterjee  IISER Pune
    980         Saswata Sahu    IIEST Shibpur
    981         Parijat Biswas    IACS
    982         Sourav Roychowdhury  Chennai Mathematical Institute
    983         Arkabrata Gupta              IIEST
    984         Disha Kuzhively NISER, Bhubaneswar
    985         Rukaiya Khatoon              Tezpur University
    986         Chandan Dalawat             Harish-Chandra Research Institute
    987         Sudhir Ghorpade             IIT Bombay
    988         Suhail khan         Jamia millia islamia
    989         Saroj Nandi         TIFR Hyderabad
    990         Afeefa Nishaat  University of Delhi
    991         Suchetana Chatterjee    I am signing as a concerned citizen of India
    992         Sruthy Murali     IMSc, Chennai
    993         Aritra Biswas      IIT Guwahati
    994         Sruthy Murali     IMSc, Chennai
    995         anupam a h        imsc chennai
    996         Susmita Mondal               University of Wisconsin-Madison
    997         Mohd Ibrahim   Max Planck Institute for Biophysics, Frankfurt
    998         Charudatta Navare          Homi Bhabha Centre for Science Education
    999         Jaydeep Kumar Basak    IIT Kanpur
    1000       Madan Rao         NCBS
    1001       Saptarshi Mandal             Institute of Physics, Bhubaneswar
    1002       Sourav Bhadra   Indian institute of science
    1003       Sruthy Murali     IMSc, Chennai
    1004       Kedar Damle      TIFR
    1005       Subhodeep Bhattacharya             inStem, NCBS
    1006       Arvind Mamgain               Indian Institute of Science, Bengaluru
    1007       Nilmani Mathur                TIFR
    1008       Esha dey              University of calcutta
    1009       Balbeer Singh    Physical Research Laboratory
    1010       Ritabrata Bhattacharya  Chennai Mathematical Institute
    1011       Prithish Halder  Physical Research Laboratory, Ahmedabad
    1012       Tathagata Gupta              Indian Statistical Institute Kolkata
    1013       Sougata Ganguly              Indian Association for the Cultivation of Science
    1014       Anju Rani             Physical Research Laboratory, Ahmedabad
    1015       Pushkar                Independent
    1016       Fazlay Ahmed    Jamia Millia Islamia
    1017       Anupam Ray      TIFR,Mumbai
    1018       Tridib Sadhu       Tata Institute of Fundamental Research
    1019       Debdeep Ghosal              University of Basel
    1020       Vishnudath K N PRL
    1021       Vinutha H A        Institute of Physics, Beijing, China & University of Cambridge, UK.
    1022       Sana Ahmed      Physical Research Laboratory
    1023       Archana               TIFR
    1024       Savinitha Prakash             CSIR IGIB
    1025       Anindya Sinha   National Institute of Advanced Studies, Bangalore
    1026       Tista Mukherjee               Presidency University
    1027       Banchana Rajkumari       Indraprastha College for Women
    1028       Bindusar Sahoo IISER Trivandrum
    1029       Harsh Oza            Physical Research Laboratory, Ahmedabad
    1030       S.Sindhu Sri Sravya          TIFR
    1031       Archisman Ghosh            Leiden Univeristy
    1032       Siddhartha Chaudhuri    IIT Bombay
    1033       Partha Guha       S.N. Bose National Centre for Basic Sciences
    1034       Sukanta Bhattacharya    University of Calcutta
    1035       Debasish Das Mahanta  Ruhr University Bochum, Germany
    1036       S. Raghunandana             Kannada poet, playwright and stage-director.
    1037       Souvik Kundu    Tata Institute of Fundamental Research
    1038       DEVAPRASAD M               PRL
    1039       Ananya Mukherjee         Physical research laboratory
    1040       Ajit M. Srivastava             Institute of Physics, Bhubaneswar
    1041       Rohini Balakrishnan         Indian Institute of Science
    1042       Chandrashekhar KA        The Institute of Mathematical Sciences
    1043       Nikita Sud            University of Oxford
    1044       Akash Bahai        Helmholtz Centre for Infection Research, Braunschweig, Germany
    1045       Basundhara Ghosh          University of Geneva
    1046       chintan sheth    National Centre for Biological Sciences
    1047       Arnab Bhattacharya        Tata Institute of Fundamental Research
    1048       Minhajul Islam  IIT Kanpur
    1049       Subhanka Mal   IACS, Kolkata
    1050       Rimple  Instem
    1051       Prashant Chauhan           Johns Hopkins University
    1052       Bala Iyer               ICTS-TIFR, Bangalore
    1053       Anna George     National Institute of Advanced Studies
    1054       Biplab Ganguli   NIT Rourkela
    1055       Abhijit Bhattacharyya     University of Calcutta
    1056       Janaki Srimivasan             IIIT Bangalore
    1057       Parongama Sen                University of Calcutta
    1058       Vinesh Vijayan  National Institute of technology Rourkela
    1059       Renu Loyi            Rajiv Gandhi University, Arunachal Pradesh
    1060       Sree Subha Ramaswamy              NCBS
    1061       Manish Mishra  IISER Pune
    1062       Hake Yame         Rajiv Gandhi University Rono Hills Doimukh
    1063       Satadal Ganguly                Indian Statistical Institute
    1064       Rahul Nigam       BITS Hyderabad
    1065       Siddharth Bharath           University of Minnesota, USA. Formerly of IISER Pune and NCBS Bangalore
    1066       Kabir Ramola      TIFR Hyderabad
    1067       Manjunath Krishnapur  Indian Institute of Science
    1068       Sanmay Ganguly              Weizmann Institute Of Science
    1069       Souvanik Talukdar           S N Bose National Centre for Basic Sciences
    1070       Indrajit Mitra     University of Calcutta
    1071       Sreeram Pg         IIT Madras
    1072       MD NUR HASAN               S. N. Bose National Centre for Basic Sciences
    1073       Pavan Kumar Kaushik     Ncbs
    1074       Mahebub Alam SNBNCBS
    1075       MD ARIF ALI       IIT Kanpur
    1076       Ejaj Tarif               S. N. Bose National Centre for Basic Sciences
    1077       ASLAM PARVEJ Ulsan National Institute of Science & Technology
    1078       Anish Mallick      Pontificia Universidad Catolica de Chile
    1079       Ushak Rahaman               University of Johannesburg
    1080       Avirup Shaw       Physical Research Laboratory
    1081       Chirashree Lahiri              IIEST Shibpur
    1082       Shuvajit Mukherjee        Bauhaus University of Weimar
    1083       Nabendu Kumar Khan   TIFR, Mumbai
    1084       Upayan Baul       Albert-Ludwigs-Universität Freiburg, Germany
    1085       Aniket Sule         Homi Bhabha Centre for Science Education
    1086       Sanjoy Datta      National Institute of Technology, Rourkela
    1087       Rohini Karandikar             Homi Bhabha Centre for Science Educaton
    1088       Nutan Limaye    IIT Bombay
    1089       Geeta Mahashabde        Navnirmiti Learning Foundation
    1090       Atrideb Chatterjee          NCRA-TIFR
    1091       Vikram Khaire    UC Santa Barbara
    1092       Hindolita Chakraborty    University of Calcutta
    1093       Rahul Nigam       BITS Hyderabad
    1094       Anirban Kundu  University of Calcutta
    1095       Biswajit Pabi       S. N. BOSE NATIONAL CENTRE FOR BASIC SCIENCES
    1096       Shubhrasish Mukherjee               S.n. bose national centre for basic sciences
    1097       Pritesh Ranadive              HBCSE TIFR
    1098       Divya Mudappa                Nature Conservation Foundation
    1099       T. R. Shankar Raman       Nature Conservation Foundation
    1100       Dr Vijaykumar VARMA  Nanyang technological University, Singapore
    1101       Subir Mandal     PRL Ahmedabad
    1102       Kajari Gupta       Czech academy of Sciences, Prague
    1103       Arkaprava Sengupta       Rabindra Bharati University
    1104       Kiran Kolwankar               Ramniranjan Jhunjhunwala College
    1105       Sahidul Mondal IACS Kolkata
    1106       Pratik Mullick     University of Padova
    1107       Jay Desai              USC
    1108       M Singh Roy       SNB Centre
    1109       Prakriti Pal Choudhury   Indian Institute of Science
    1110       Shiva Chidambaram        The University of Chicago
    1111       Imroze Khan      Ashoka University
    1112       KHURSHID AHMAD         Tata Institute of Fundamental Research
    1113       Kartik Shanker   IISc
    1114       Indrakshi Raychowdhury              University of Maryland, College Park, Maryland, USA
    1115       Prasad  IITB
    1116       Umesh Mohan  NCBS
    1117       Moumita Nandi                Tata Institute of Fundamental Research, Mumbai
    1118       Kakoli Mukhopadhyay   Dhole's Den Research Foundation
    1119       Kasi jaswin          Icts tifr
    1120       Baisakhi Banerjee            Independent Consultant
    1121       Avinanda Chakraborty   Presidency University, Kolkata
    1122       Anweysha b       Arizona State University
    1123       Anwesh Mazumdar        Tata Institute of Fundamental Research
    1124       Navin Kashyap  Indian Institute of Science
    1125       Sk Javed Rana    Pennsylvania State University, USA
    1126       Sk Sazim               Institute of Physics, Slovak Academy of Sciences, Bratislava

    1127       Amina Khatun   IOP, Bhubaneswar
    1128       Anuradha singla                BARC
    1129       Leena Ranade   Health Partners, USA
    1130       KIRANKUMAR VISSA      National Alliance of People's Movements
    1131       Shiney Varghese              Institute for Agriculture and Trade Policy
    1132       Samyuktha Gorrepati     Independent
    1133       Nabanita Das     Presidency University
    1134       Sayantan Ghosh               IIT KANPUR
    1135       Pragya Saha        College
    1136       Angrita Goswami             College
    1137       Aanontyo Anindya Kakoli             Nitte Meenakshi Institute of Technology
    1138       Yogeshwaran D Indian Statistical Institute
    1139       Preetha Sarkar  University of Illinois at Urbana Champaign
    1140       Riju Nag               A citizen of India
    1141       Nisha Bharti        Physical Research Laboratory
    1142       Arindam Bose    TISS Mumbai / Federal University of Sao Paulo, Brazil
    1143       Deepak Tiwari   University of Montreal, SNOLAB
    1144       Santanu Das       University of Wisconsin, Madison and Fermi National Accelerator Laboratory
    1145       Debarshi Basu   Indian Institute of Technology Kanpur
    1146       Pallabi Paul         Friedrich Schiller University Jena
    1147       Vinayak                IIT Kanpur
    1148       Dipanjan Maity S. N. Bose National Centre for Basic Sciences
    1149       Jyothis V V          National Institute of Science Education and Research
    1150       Mritunjay Verma             Istituto Nazionale di Fisica Nucleare - Napoli
    1151       MIR AFRASIAR  IIT Kanpur
    1152       Debankur Bhattacharyya              University of Maryland, College Park
    1153       Nishat Parveen University at Albany, State University of New York
    1154       Pomita Ghoshal                LNMIIT
    1155       Pallavi Bhat         University of Leeds
    1156       SOUVIK MANDAL            Harvard University
    1157       Priyanka Betal   IIEST,Shibpur
    1158       Nagarjuna           Homi Bhabha Centre for Science Education
    1159       Mihir Kulkarni    Columbia University
    1160       Prof. S. C. Lakhotia          Banaras Hindu University
    1161       Pratap Bhanu Mehta      Ashoka University
    1162       Dr. Vispi H. Jokhi               Individual
    1163       Rajesh Sundaresan         Indian Institute of Science
    1164       Payel     NCBS
    1165       Samapti Guha    Tata Institute of Social Sciences
    1166       Sudipta Bandyopadhyay               University of Calcutta
    1167       Vaibhhav Sinha NCBS, TIFR
    1168       Shankho Chowdhury      Century Plyboards (India) Ltd
    1169       R.Santhosh         IIT Madras
    1170       Pinaki Majumdar              HRI
    1171       Jason Picardo     IIT Bombay
    1172       Shouvik                IIT DELHI
    1173       Abhijit Chattopadhyay   Retired Government Employe
    1174       Srikanth Iyer      Indian Institute of Science
    1175       Shabana p s        Not studying
    1176       Nitin Rai               Ashoka Trust for Research in Ecology and the Environment
    1177       Sayak Datta        IUCAA
    1178       Sreekrishna Varma Raja                NCBS
    1179       Somadrita Borthakur      CSIR-NEIST, JORHAT,ASSAM
    1180       Pramod Pullarkat             Raman Research Institute
    1181       Vidur Niranjan   National Centre for Biological Sciences, TIFR, Bengaluru
    1182       subhamita Banerjee       Vocalist
    1183       Anupam Gorai   Satyendra Nath Bose National Centre for Basic Sciences (SNBNCBS)
    1184       Tanmayee More              IIT Bombay
    1185       Prayush Kumar Cornell University
    1186       Bani Jolly              CSIR IGIB
    1187       Jayeeta Chattopadhyay                Indian Institute of Science, Bangalore
    1188       Shashwata Ganguly        University of Cologne, Germany
    1189       Titas Pramanik   Indian Institute of Science
    1190       Soumya Chakrabarti       Saha Institute of Nuclear Physics
    1191       Sujatha Raghunath          journalist
    1192       Prahladh Harsha               Tata Institute of Fundamental Research
    1193       Joydip Ghosh     IIT Guwahati
    1194       Angshuman Choudhury                Institute of Peace and Conflict Studies
    1195       J S Bagla               IISER Mohali
    1196       Alakta Das           Indian Institute of Science
    1197       MAINUR RAHAMAN       University of hyderabad
    1198       Longchar              University of Hyderabad
    1199       Sahanaj Aktar Banu         Bose Institute
    1200       Swati Bhatt         Play for Peace
    1201       Agyatmitra          Play for Peace
    1202       Sk Mustak Ali     Bose Institute
    1203       Kabita Kundalia Bose Institute
    1204       ADITI SEN DE      Harish-Chandra Research Institute
    1205       Abu Sufian          Indian institute of science
    1206       Sreyan Raha       Bose Institute, Kolkata
    1207       Souryadip Ghosh             IIT Kharagpur
    1208       Soumyadip Bandyopadhyay        BITS Goa
    1209       Sneha Krishnan University of Oxford
    1210       Arijita Dutta        University of Calcutta
    1211       Joyoni Dey          Louisiana State University
    1212       Manish Prakash Victor   Bose Institute
    1213       Archana Jeurkar               Solapur municipal corporation
    1214       Parthanil Roy     Indian Statistical Institute
    1215       Moon Moon Devi            Tezpur University
    1216       Agnivo Sarkar    IIT Gandhinagar
    1217       PRASUN SARKAR             IACS, Kolkata
    1218       Rana Barua         Indian Statistical Institute(Retired)
    1219       Aparajita Datta  Nature Conservation Foundation
    1220       Sravanthi Kollu  Harvard University
    1221       Harita R                HBCSE - TIFR
    1222       Sariful Sheikh     Bose Institute
    1223       gowri Varanashi                Bard college
    1224       Khyati Pathak    Individual
    1225       Ishita Dharap     School of the Art Institute of Chicago
    1226       NILANJANA Goswami    Heidelberg
    1227       Shivakumar Jolad             FLAME University
    1228       Soumyajit Mandal           Tata Institute of Fundamental Research, Mumbai
    1229       Samarth Bhagwat            IIT Bombay
    1230       Bharat Tandon  The University of Texas at Austin, USA
    1231       Swarnali Hait      Satyendra Nath Bose National Centre for Basic Sciences (SNBNCBS)
    1232       Chaitrali Sengupta           Rutgers university
    1233       Sumeet Kulkarni               The University of Mississippi
    1234       Himadri Barman                Zhejiang University
    1235       Abhinav Deshpande       University of Maryland
    1236       Jaya Mehta         Joshi Adhikari Institute
    1230       Bharat Tandon  The University of Texas at Austin, USA
    1231       SWARNALI HAIT               Satyendra Nath Bose National Centre for Basic Sciences (SNBNCBS)
    1232       Chaitrali Sengupta           Rutgers university
    1233       Sumeet Kulkarni               The University of Mississippi
    1234       Himadri Barman                Zhejiang University
    1235       Abhinav Deshpande       University of Maryland
    1236       Jaya Mehta         Joshi Adhikari Institute
    1237       Tisa Biswas          University of Calcutta
    1238       VARSHA K           UNIVERSITY OF HYDERABAD
    1239       Madhubabu GB                University of Hyderabad
    1240       Hem Raj               University of Hyderabad
    1241       Tejaswini             IIHR
    1242       Mohammad Shihabuddin Khan Indian institute of Technology Bombay
    1243       Charudutt Mishra            Nature Conservation Foundation
    1244       Dr. Yogitha S.     Government First Grade College, Mysore
    1245       Meghana Rao    Azim Premji University
    1246       Sandeep Krishna              National Centre for Biological Sciences TIFR, bangalore
    1247       Safique Anwer  IIT Bombay, Mumbai
    1248       Dickens Leonard M.        University of Hyderabad
    1249       Prerna bishnoi   Trondheim Academy of Fine Art, NTNU, Norway
    1250       Danish Ansari     IIT Bombay
    1251       Deepak Maram Cornell University
    1252       parinitha              Mangalore University
    1253       Prateek Raj         Indian Institute of Management Bangalore
    1254       Shalini Srinivasan              Azim Premji University
    1255       Vinay Dwarakinath          IIMB
    1256       Siddhartha          IIM Bangalore
    1257       PVS PAVAN CHANDRA VAMSI   IIM Bangalore
    1258       Muneer               IIM Bangalore
    1259       Himanshu Shekhar          IIM Bangalore
    1260       Sonaal Gupta     IIM Bangalore
    1261       Avishek Das        IIM Bangalore
    1262       Aditya Kulkarni  IIM Banglore
    1263       Harit Rathi           Indian Institute Of Management Bangalore
    1264       Zishan Kamal      IIM, Bangalore
    1265       Anay Dalal           Indian Institute of Management, Bangalore
    1266       Mohammad Salman       IIMB
    1267       Malay Bhattacharyya      IIM Bangalore
    1268       Ayshu B                IIM Bangalore
    1269       Reetika Sindhi   IIMB
    1270       S Vijay   IIM Bangalore
    1271       Mohsin Ahmed IIM Bangalore
    1272       Jothsna Rajan    Indian Institute of Management Bangalore
    1273       Cedric Rebeiro  Indian Institute of Management, Bangalore
    1274       Parvathi Menon               IIMB
    1275       Vinodhkumar S L              IIM Bangalore
    1276       Vishal Singh Deo               Delhi University
    1277       Priyama Majumdar         Indian Statistical Institute Kolkata
    1278       Alok Ranjan        IIM Bangalore
    1279       Gurunathan Subramanyan          Iimb
    1280       M S Sriram          Indian Institute of Management Bangalore
    1281       Lakshay                IIM Bangalore
    1282       Ashish   IIM Bangalore
    1283       Sumeet Shirsath               Do not wish to disclose
    1284       Masrook Dar      University of Hyderabad
    1285       Taru Raaj Agrawal            Bizongi
    1286       Natasha Bhide   Indian Institute of Management, Bangalore
    1287       Kiran Thatiparthi               IIM Bangalore
    1288       Preeti Kharb       TIFR
    1289       Anubha Dhasmana          Assistant Professor
    1290       Nandini G B        IIMB
    1291       Lokesh Chanthar              IIM BANGALORE
    1292       Purushothama Bilimale JNU
    1293       Sarthak Dutta    IIM Bangalore
    1294       Mohd Asad Siddiqui        UESTC, CHINA
    1295       Avideep Mukherjee       IIT Kanpur
    1296       Asfia Aejaz          IIMB
    1297       Rishi Kumar Sharma        IIMB
    1298       Mohammed Zoheb         IIMB
    1299       SHARON VARGHESE       University of Hyderabad
    1300       Anand   Indian Institute of Management
    1301       Hemant yadav   IIT Guwahati
    1302       Prasanjan Mitra                IIM Bangalore
    1303       Utkarsh                Uestc
    1304       Shivani Tannu    IIM Bangalore
    1305       SOUMAVO GHOSH         IUCAA, Pune
    1306       Mohammad Imran          IIT Bombay
    1307       Shaik Althaf        University of Illinois
    1308       Dr. Jayaram Uparna        IIMB
    1309       Sidharth Rammohan       IISER Bhopal
    1310       Tanima Duary    IISER Kolkata
    1311       Vinay Simha       IIM, Bangalore
    1312       Ritwik Banerjee                IIM Bangalore
    1313       Arpita Saxena    IIM - B
    1314       Sabitha Susan Joseph     IIT Bombay
    1315       Manaswini Bhalla             IIM B
    1316       Raj Kumar Manna            University of Pittsburgh
    1317       Mit Parekh          IIM Bangalore
    1318       Humaid Mohd   Indian Institute of Technology Bombay
    1319       Savithri Singh     Delhi University
    1320       Yash Bhargava   Inter-University Centre for Astronomy and Astrophysics (IUCAA)
    1321       Sankalp Nandanwar        IIM Bangalore
    1322       Mohd Zuhair      Monash University, Melbourne, Australia
    1323       Kiran Hebbalkar                IIMB
    1324       Gurmeet Bhalla                IIMB
    1325       Tathagata Ghosh              IUCAA
    1326       Ishwar Murthy  Indian Institute of Management Bangalore
    1327       Kalyan Kumar Ray            Jadavpur University (Formerly of)
    1328       Maneesh Thakur              Indian Statistical Institute-Bangalore
    1329       Debarghya Goswami      St. Joseph's college Darjeeling
    1330       Ashwin Kumar   Indian Institute of Management, Bangalore
    1331       Shivani Gite        IIMB
    1332       Anupreeta More              IUCAA
    1333       Ahmad Omar     IIT Bombay
    1334       Shiva Rama Krishna Reddy Yasa Inter University Center for Astronomy and Astrophysics (IUCAA)
    1335       R Srinivasan Prof (Retd)                IIM Bangalore
    1336       Ashley Tellis       Deccan Chronicle
    1337       Abhishek Karmakar         IIM Bangalore
    1338       Anand A               Indian Institute of Management Bangalore
    1339       Ameer Iqubal    IIM Bangalore
    1340       Shashank Garg  Digital Innovation Lab at IIM Bangalore
    1341       Sorabh Chhabra                IUCAA,PUNE
    1342       tasneem hegde                IIM Bangalore
    1343       Rucha Dhayarkar              Srishti School of Art Design and Technology
    1344       Adarsh chintalapati         IIM B
    1345       Vivek     Indian Institute of Management Bangalore
    1346       Tejendra Pratap Singh   Indian Institute of Management, Bangalore
    1347       Shabbir Shaikh  IUCAA, Pune
    1348       md shah alam    IUCAA
    1349       Soham Sahoo    Indian Institute of Management Bangalore
    1350       Vasundhara Sharma       Srishti school of Art, design and technology
    1351       Svati Shah           University of Massachusetts
    1352       Nitin kumar        National Physical laboratory
    1353       Tharanum Bano                IIM Bangalore
    1354       Irfan Ahmad Ghazi          University of Hyderabad
    1355       TAUSIF SHAMS IIM BANGALORE
    1356       Rituparna Ghosh              IIM Bangalore
    1357       ROBIN JOHRI      INDIAN INSTITUTE OF MANAGEMENT BANGALORE(IIMB)
    1358       Zahidul Haque   University of Hyderabad
    1359       Zainab Wahid     IIMB
    1360       Dhriti Singh         NIPGR
    1361       Sohini    Indian Institute of Technology-Bombay
    1362       Dr Jayaram Uparna          IIMB
    1363       Priyanka Sarmah              IIT Bombay
    1364       Thamilmani M   IIT Bombay
    1365       Sneha   NA
    1366       Shahbaj Khan    IIM Bangalore
    1367       Anupama Lakshmanan  Indian Institute of Management Bangalore
    1368       Jayanthi Iyer      IIMB (Adjunct Faculty)
    1369       Rajalaxmi Kamath            Indian Institute of Management Bangalore
    1370       Chitra Andrade IIM Bangalore
    1371       Ijas Ahammed   IIT BOMBAY
    1372       Sarbeswar Pal    IISER-TVM
    1373       Abhilash               Private institute
    1374       Suvadip Masanta             Bose Institute
    1375       MD SHAHRUKH ANJUM                INDIAN INSTITUTE OF MANAGEMENT BANGALORE
    1376       Tarangini Sriraman           Azim Premji University
    1377       T Jayashree        Filmmaker
    1378       Dineshkumar S  Indian Institute of Management Bangalore
    1379       Kavya Madhusudhan     IIMB
    1380       Simonne Devchell            Not currently employed or enrolled in a university
    1381       Himadri Sekhar Tripathi Bose Institute
    1382       Atreyee               Jawaharlal Nehru university
    1383       Mohd Javed       INDIAN INSTITUTE OF TECHNOLOGY, BOMBAY
    1384       Sangeeth Asokan             IIM Bangalore
    1385       Sibghatullah Faiyaz          Zieta Technologies Pvt. Ltd.
    1386       faiqa saleem      Jawahar Lal Nehru University
    1387       Piyush Narendra Dhore IITG, IIMB
    1388       Shaquib Kazmi   IIMB
    1389       Debabrata Adak               IUCAA
    1390       Swayam Kumar Tibrewal              IIM Bangalore
    1391       Zisan Bahadur    IIM Bangalore
    1392       Ashish Pathak    MediSmile
    1393       Monika Jawaharlal Nehru University
    1394       Gopinath Annadurai       IIIM Bangalore
    1395       Bhawana Chaudhary      Delhi University
    1396       Manorama Sharma         retired professor, North Eastern Hill University, Shillong
    1397       TAZ UDDIN         Iit kanpur
    1398       Karthik Teegalapalli         Individual
    1399       Gogularaja N P  Indian Institute of Management Bangalore
    1400       Prithwiraj Mukherjee    IIM Bangalore
    1401       Kishori Lal            IIT Kanpur
    1402       VN Bhattacharya              IIM Bangalore
    1403       Apurba Kumar Baruah   Retired professor, North Eastern Hill University Shillong Shillong
    1404       Amit Upadhyay TISS Hyderabad
    1405       Rajat      IIMB
    1406       Aditya Vijaykumar           International Centre for Theoretical Sciences (ICTS-TIFR), Bengaluru
    1407       Samarjit Das       Indian Statistical Institute
    1408       APARNA K K       University of Hyderabad
    1409       Rupali Mhaskar Tata Trusts
    1410       Lasumi  TISS,Mumbai
    1411       Gadadhar Misra                Indian Institute of Science
    1412       Abhijit Gupta     Jadavpur University
    1413       satishchennur   center for studies in social sciences
    1414       Jayasree Prasad                College Teacher, Kerala (Retd)
    1415       Ananya Chaudhury         IIM Bangalore
    1416       SUNIL CHOUDHARY        IUCAA
    1417       Sudip Das            Indian Institute of Technology Kharagpur
    1418       Monazir Abbas  JNU
    1419       K N Kaushik Sharma        Indian Institute of Management Bangalore
    1420       Ankush Mandal                Inter-University Centre for Astronomy and Astrophysics, Pune
    1421       Roshini Lakshmi                Jnu
    1422       Aditya Vaishampayan    Don't belong to any
    1423       S A Gowtham    IIM BANGLORE
    1424       Namit Anand     University of Southern California, Los Angeles
    1425       Durga    CEHAT
    1426       Amisha Gautam                Jawaharlal Nehru University
    1427       Neha Bhakar      Indian Institute of Management, Bangalore
    1428       Jaskirat Kaur       IIM Bangalore
    1429       Samiksha             IIT Bombay
    1430       Maseera Fatima               Dr Ajay’s dental care center
    1431       Muhammed shibin vp    MANUU Hyderabad
    1432       M. Jayakrishnan               The Institute of Mathematical Sciences
    1433       Rajluxmi V Murthy          Indian Institute of Management Bangalore
    1434       Akanksha Dewaker         Indian Institute of Management, Bangalore
    1435       Labanya Kumar Guha     IUCAA
    1436       Ankit Dave          Self
    1437       Rajasee Ray        Co-Founder at Ladyfingers Co.
    1438       Gulab Dewangan             IUCAA
    1439       Mrinal Kanti Das               Indian Statistical Institute
    1440       Zoheb Ahmed   Tata Institute of Fundamental Research
    1441       Sruthi PIllai          Indian Institute of Technology Bombay
    1442       Harshavardan B N            National Centre for Biological Sciences
    1443       Samanwaya Mukherjee                IUCAA, Pune

    1444       Aalok Varma      NCBS, Bangalore
    1445       Arun Kumar        Jamia Millia Islamia, New Delhi
    1446       Aisha Ishaq         Doctor
    1447       Meha Jadhav     NCBS
    1448       Tarun maity        Iisc
    1449       Mohit kher         Na
    1450       Arunabh Kalita  Indian Institute of Management Bangalore
    1451       Simran Virdi        National Centre for Biological Sciences, Tata Institute of Fundamental Sciences
    1452       Sahi ram goliya  IIT KANPUR
    1453       Sajad S Santhosh              IIM Bangalore
    1454       Mira       exIIMB(retd)
    1455       Swagata K. Ray  Indian Statistical Institute
    1456       Anzal KS               NCBS
    1457       Ashokan Nambiar            Manipal Centre for Humanities
    1458       Saumya                TUM
    1459       Manpreet Bhattee          Symbiosis institute of Design (SID)
    1460       Vinit somaskandan          IIM B
    1461       Syeda Tahseen Quadri   IIM Ahmedabad
    1462       Charu Goel         Nanyang Technological University, Singapore
    1463       Harshavardan B N            National Centre for Biological Sciences
    1464       Sunil Reddy Kunduru      Indian Institute of Management Bangalore
    1465       Yogendra Swami              IIMB
    1466       Malvika Mayur  SIMC
    1467       Shobhit Khandelwal        IIM Bangalore
    1468       Aftab Ahmed     Indian Institute of Technology Bombay
    1469       Halima  Iit
    1470       Devendra Kumar              IIM Bangalore
    1471       Saranya S             University of Hyderabad
    1472       J Koushick Balaji                Indian Institute of Management Bangalore
    1473       Ayush Jain           IIMB
    1474       Shilpak Banerjee              IIIT-Delhi
    1475       Sasi Kumar V      IIM Bangalore
    1476       srijit bhattacharjee          IIIT Allahabad
    1477       Manmeet Kaur Bhatia    Mahila Swasthya Adhikaar Manch
    1478       Shreyas Dhongade          IIM Bangalore
    1479       Arsh Akhtar Ansari          IIT Bombay
    1480       Niladri Paul         IUCAA
    1481       Zamir     University of Hyderabad
    1482       vamshi krishna kethavath            IIM Bangalore
    1483       Rushikesh G Kulkarni      Tiss
    1484       Haritha R              University of Hyderabad
    1485       Vanathi M           IIM Bangalore
    1486       Bhaskaran Raman            Indian Institute of Technology Bombay
    1487       Mohammad Ashraf         IIM Bangalore
    1488       Himanshu Singhal            IIM Bangalore
    1489       Sarita Bhagat      Independent researcher
    1490       Anjali James K   Indian Institute of Technology, Bombay
    1491       Neha Bhadbhade             INDEPENDENT RESEARCHER
    1492       Rajshekhar Banerjee      A.B. Shetty Memorial Institute of Dental Sciences, Mangalore
    1493       Neelabh mayand             Iim bangalore
    1494       Manasi MS          University of Hyderabad
    1495       Mamtha Venkattaramanujam    Indian Institute of Management Bangalore
    1496       Anwit Roy           Amazon
    1497       SEEMA PRASAD                NA
    1498       Seema S               IIMB
    1499       Rosa Abraham   Azim Premji University
    1500       Villoo Patell        Avesthagen Limited
    1501       Himadri Barman                Zhejiang University
    1502       SUDESHNA SEN                University College Dublin
    1503       Dr Maidul Islam Political Analyst, Kolkata
    1504       Pramod Pawar  IUCAA, Pune
    1505       Prakhar                NIPGR
    1506       Vaibhav Nain     THSTI
    1507       Deepti Goel        Azim Premji University
    1508       Utkarsha Rathi  University of Delhi
    1509       Kuntal Ghosh     Indian Statistical Institute
    1510       Shivangi Rajora IIM Bangalore
    1511       Srijoni Dey          University of Hyderabad
    1512       Prakash Tripathi                IUCAA, Pune
    1513       Abhishek Prasad              NIPGR
    1514       Surbhi Kesar       Azim Premji University and South Asian University
    1515       Payel Chatterjee              Norwegian University of Science and Technology (NTNU)
    1516       Soumi Ghosh     Indian Institute of Science
    1517       Kalyan Kundu    Retd. Prof. Institute of Physics, Bhubaneswar
    1518       Eesha Das Gupta              University of Toronto
    1519       Halidev Krishna Botta     NIPGR
    1520       Adeeb N A          Indian institute of Technology, Delhi
    1521       Sonali Rakshit    Indian Institute of Management Bangalore
    1522       Anand Prahlad  IIM Bangalore
    1523       Kishore Gopalakrishnan                IUCAA, Pune
    1524       Chumki Nayak   Bose Institute
    1525       Waqas Malik      Zakir husain college
    1526       Shamim Sk          IIT Mandi
    1527       Smita Saha          Centre For Human Genetics
    1528       Moumita Bandyopadhyay            University of Calcutta
    1529       Leena Abraham                Tata Institute of Social Sciences
    1530       Trisha BHOWMIK             Paris Observatory
    1531       B S Harilal             IIMB
    1532       Kshiraja Krishnan             Azim Premji University
    1533       Priyanka Chaturvedi       Thuringer Landessternwarte Tautenburg
    1534       Arun Ganesan A S            IIMB
    1535       Anuradha Gautam           National Institute of Biomedical Genomics (NIBMG)
    1536       Suhani Gupta     Centre for theoretical physics
    1537       Fatima  Centre for human genetics
    1538       Pratyusha Chanda           IISC
    1539       Himani Singh Khati           Indian Institute of Remote Sensing-ISRO Dehradun
    1540       Anupama            IIT Bombay
    1541       Anshu Priyadarshini        TCS
    1542       Adarsh Battu      Siemens
    1543       Ashok Kumar     IIT KANPUR
    1544       Kainat Anjum     Gurunanak institute of dental Science and research
    1545       Nidhi Rathi          Indian Institute of Science, Bangalore
    1546       Sandip Varkey George   University of Groningen
    1547       Sankha S. Basu  IIIT-Delhi
    1548       Jacky Kumar       University of Montreal
    1549       Swapnamay Mondal       Trinity College Dublin
    1550       Ankur Gupta      IIM Bangalore
    1551       Sindhu  Independent Study Program, The Whitney Museum
    1552       Radhika Upadhyay          Symbiosis Institute of Design, Pune
    1553       Bhaswati Sarkar                IIM Bangalore
    1554       Devangna Soni  University of Delhi
    1555       Rohan Pramanick             IIT KGP
    1556       Tamilinpan Somu             iimb
    1557       PRIYANKa Ghosh             niser
    1558       Anuradha Samajdar        Nikhef, Dutch National Institute for Subatomic Physics
    1559       Sourav Chatterjee           National Institute of Plant Genome Research
    1560       Dasvit    NUS
    1561       Antariksh Pandey            IIM Bangalore
    1562       Tanvi     Corporate
    1563       Alisha Miranda  Harvard University
    1564       Kandaswamy Subramanian         IUCAA, Pune
    1565       Taushif Ahmed Max-Planck-Institute for Physics, Munich
    1566       Soumik Dutta     Indian institute of science
    1567       Soumik Adhikary              IIT Delhi
    1568       Priya      Lady Shri Ram College for Women
    1569       Bikram Khastgir Indian Institute of Management Bangalore
    1570       Sannibha Das     Indian Institute of Science, Bangalore
    1571       Saaz Sakrikar      Duke University
    1572       Abdul Saleem Mir            IIT Delhi
    1573       Pragyadeep Roy               Indian Institute of Science (IISc), Bangalore
    1574       Irfan Habib          Jadavpur University
    1575       Antara Chakraborty        IIT Bombay
    1576       Sudipta Kundu  Indian Institute of Science
    1577       Venkatesh Puttaiah        University of Mysore
    1578       Mahammad Tahir            IIT Kanpur
    1579       Mohd Yasir Khan              IIT DELHI
    1580       Asim Rama Praveen        Pivotal Software Inc.
    1581       Ritabrata Bose   IIM, Bangalore
    1582       Shahina                University of Notre Dame
    1583       Mohammad Adnan         Iit delhi
    1584       T.S. PRITHIV       Max Planck Institute for Iron Research GmbH
    1585       Apratim Kaviraj ENS Paris
    1586       Himani Sachdeva              IST Austria
    1587       Akhil      Louisiana State University
    1588       Prakhar Gahlot  University of New Orleans, LA
    1589       Abhik Jash           Weizmann Institute of Science
    1590       Mythri Prasad    Graduate center, City University of New York
    1591       Anirban Mandal                IISc, Bangalore
    1592       khun sang phukon           Nikhef, Netherlands
    1593       Asif Ahmad         Iit madras
    1594       Viraj Doddihal    Stowers Institute for Medical Reserach
    1595       Sabyasachi Chattopadhyay          UW Madison
    1596       Anirban Misra    Weizmann Institute of Science
    1597       Sujit Kumar Nath              University of Leeds
    1598       Bidisha Kundu   IISc Bangalore
    1599       ANKITA DAS       The Ohio State University
    1600       Ezaz Ahmad        Indian institute of science, Bengaluru
    1601       Uma Ramakrishnan         National Centre for Biological Sciences
    1602       Neha Parti           QA
    1603       Narayanan Kurur              IIT Delhi
    1604       Pallak Razdan     Manipal university
    1605       Kalyan Kundu    Retired Professor, Institute of Physics Bhubaneswar
    1606       Jayant Murthy   Indian Institute of Astrophysics
    1607       Jimmy Bahuleyan             Indian Institute of Science, Bangalore (Alumni)
    1608       Anita Mukherjee             University of Calcutta
    1609       shahdab               IIMK
    1610       Uddipan Banik   Yale University
    1611       Soham Jana        Yale University
    1612       Abhilasha Joshi University of California, San Francisco; IISER Mohali Alumni
    1613       Sk sujauddin      Citizen of india
    1614       Agnivo Gosai      Iowa State
    1615       Suchitra J Y          Indian Institute of Management Bangalore
    1616       Majid Hassan Khan          IISc
    1617       Ananya Rakshit TIFR, Mumbai
    1618       Nitya Nath          Formerly at NASA Goddard Space Flight Center, Greenbelt, MD, USA
    1619       A. Q. Contractor               Indian Institute of Technology Bombay; Retired Professor
    1620       Mona Gupta      Tata Institute of Fundamental Research
    1621       Sudha Narayanan            Indira Gandhi Institute of Development Research
    1622       Varun Kumar Das             Indira Gandhi Institute of Development Research, Mumbai
    1623       Koustuv Saha     IGIDR
    1624       Mahesh Mohan Thirukonda        Indira Gandhi Institute of Development Research
    1625       Sakshi Agarwal  IGIDR
    1626       Naveen James  IIM-Bangalore
    1627       Tanya    Manipal university
    1628       Subrata Sarkar   IGIDR
    1629       Jayati Sarkar       Indira Gandhi Institute of Development Research
    1630       Happy Kumar     IGIDR
    1631       Nikki A. No current institution
    1632       Samantha S.       None
    1633       Nikki S.A.             None
    1634       Khushboo Goyal               IGIDR
    1635       Parakh Mody     TISS
    1636       Amrita Trehan   IIM Bangalore
    1637       Rupayan Pal       Indira Gandhi Institute of Development Research (IGIDR), India
    1638       Manisha Jain      IGIDR
    1639       R Nagaraj             Indira Gandhi Institute of Development Research
    1640       Aditya Gilra         Institute of Science and Technology Austria
    1641       Ipsita Chakraborty           Bose Institute
    1642       PUNIT SHARMA                IIT Kanpur
    1643       Aabhaas Vineet Mallik   ICTS
    1644       Saheli Sarkar      Institut de Physique Theorique, CEA Saclay, France
    1645       Saheli Sarkar      Institut de Physique Theorique, CEA Saclay, France
    1646       Yadavindu Ajit   IGIDR
    1647       Samir Datta         Chennai Mathematical Institute
    1648       soumik ghosh    igidr
    1649       Sumit Bera          UGC DAE CSR, Indore
    1650       Senthilnathan Vedi         IIMB
    1651       Samapan Sikdar                Institute of Mathematical Sciences, Chennai
    1652       Rabin Chakraborty           Retired Teacher, Calcutta University
    1653       Jasnoor Kaur      Indira Gandhi Institute of Development Research
    1654       Prof Chris Sinha                University of East Anglia, UK
    1655       Poonam               Iisc
    1656       Janaki    University of Bonn
    1657       Budhaditya Bhattacharjee           IISc
    1658       Ishan Mata         BITS Pilani
    1659       Abdul Malik Peedikakkal               King Fahd University of Petroleum nd Minerals
    1660       Shouvik Ganguly              University of California, San Diego
    1661       Soumik Ghosh   Virginia Tech
    1662       Anish Mukherjee             Georgia Institute of Technology
    1663       Rohan Arthur     Nature Conservation Foundation
    1664       Barun Kumar Maity         University of Illinois at Urbana-Champaign
    1665       Vandita Kapoor IIM-B
    1666       Ayon Borthakur                Cornell University
    1667       Nitish Kumar Srivastava Cornell University
    1668       Dr Sarika Singh  Jiwaji University
    1669       Kavita Ramanan                Brown University
    1670       Atreyi Dasgupta                Baylor College of Medicine
    1671       Abin Varghese  IIT Bombay
    1672       Nilotpal Choudhury         Indian Institute of Technology
    1673       Pallab Borah       Tezpur University
    1674       Manoj   Undergraduate pass out
    1675       Jim John               Tata Institute of Fundamental Research
    1676       Arijit Dutta          HRI
    1677       Geetha Venkataraman  Ambedkar University Delhi
    1678       Sourav Kundu    University of Southern California
    1679       Milon Miah         Indian Association for the Cultivation of Science
    1680       Nishat Fiza          IISER Mohali
    1681       Raj Kumar Moitra             Saha Institute of Nuclear Physics
    1682       TANAY PAUL      University of Calcutta
    1683       Abhishek Iyer    IP2I Lyon
    1684       Sonali Sathaye   independent consultant
    1685       Niharika Kapil     IIT Bombay
    1686       Anand Shrivastava           Azim Premji University
    1687       Mamta Indian institute of technology kanpur
    1688       PARIJAT DEY       Uppsala University
    1689       Mira Johri            Université de Montréal
    1690       Harshita khan    SAHAYOG
    1691       Malavi Sengupta              Max Planck Institute for Evolutionary Biology
    1692       Rita Majumdar  IITDelhi
    1693       Yogeshwar Prasad           HRI
    1694       M S Ram              Indian Institute of Science, Bengaluru
    1695       Mihir Bhosale    IIT Bombay
    1696       Rachelle C           IIT Gandhinagar
    1697       Anwesha Saha  Institute of Paleobiology, Polish Academy of Sciences, Warsaw, Poland
    1698       Kartik Sreedhar Washington State University
    1699       Anustup Basu    University of Illinois at Urbana-Champaign
    1700       Siddhartha Chaudhuri    Bose Institute (retired)
    1701       K. Subramaniam               Homi Bhabha Centre for Science Education, TIFR
    1702       Shankhadeep Chakrabortty        IIT Ropar
    1703       Nishad Matange               IISER-Pune
    1704       Subhas Yadav    University of Hyderabad
    1705       Debkanika Gupta             Indira Gandhi Institute of Development Research
    1706       DevduttaaChakraborty  IIT Gandhinagar
    1707       Kairavi Acharya IIT Gandhinagar
    1708       AMRITHA MATHER          IIT Gandhinagar
    1709       Fasna k IIT Gandhinagar
    1710       Deepanwita purohit       Centre for Cellular and Molecular Biology
    1711       Vysakh R              Indian Institute of Technology, Gandhinagar
    1712       Moin Qureshi    IIT, Gandhinagar
    1713       Aishwariya Upadhyay    3.2.1 Education Foundation
    1714       Gagandeep Sachdeva    University of California, Santa Cruz
    1715       Nikita    Pravara institute of medical sciences
    1716       Pravin Mali          IIIT Hyderabad
    1717       Siddharth Jain    IIIT Hyderabad
    1718       Heena Khanchandani     Max Planck Institute for iron research
    1719       Shashwat Khandelwal    IIIT Hyderabad
    1720       Brishti Modak    Centre for Studies in Social Sciences, Calcutta
    1721       Rishab   IIIT-Hyderabad
    1722       Gnana Selvam   IIT Gandhinagar
    1723       Suchismita Das  IIT Bombay
    1724       Kushagra garg    IIIT H
    1725       Ankit Gupta        International Institute of Information Technology, Hyderabad
    1726       Saif Ali Khan       Indira Gandhi Institute of Development Research
    1727       Tanuj     International institute of information technology, Hyderabad
    1728       Noyonika Das    IIT Gandhinagar
    1729       R. Sujatha            University of British Columbia
    1730       Harsh Kapoor     sacw.net
    1731       Aamir Farhan     IIIT Hyderabad
    1732       Praval Kumar Singh         praval_66 @rediffmail.com
    1733       Abdul Razzaq Shaikh       King Abdullah University of Science and Technology
    1734       Venkat Srinivasan            National Centre for Biological Sciences
    1735       Kaushik Krishnan              Indira Gandhi Institute of Development Research
    1736       Noushad              Pharmacist
    1737       Divya     IIITH
    1738       Amarjit Budhiraja             The University of North Carolina at Chapel Hill
    1739       Aakash KT           IIIT Hyderabad
    1740       Rebom belo       Rajiv Gandhi university
    1741       R. Mazumdar     University of Waterloo, Canada
    1742       Koustuv Saha     Georgia Institute of Technology
    1743       Pratyay Mukherjee         Cryptographer at IACR
    1744       Sonal Kedia         Brandeis
    1745       Bhaskar Majumder         G.B.Pant Social Science Institute
    1746       Amit Basole        Azim Premji University
    1747       Kaustubh Rau    Azim Premji University
    1748       Dilshad Alam      IIT Delhi
    1749       Nasreen               New York Medical college
    1750       Sterin N. S.          National Institute of Technology, Surathkal
    1751       Villoo Patell        Avesthagen Limited
    1752       Pradeep               AC Porto Pte Ltd
    1753       Prokash Kumar Kundu   ICTS
    1754       Vedant Das Swain            Georgia Institute of Technology
    1755       Ankur Gupta      Princeton University
    1756       Sherjil Ozair        IIT Delhi
    1757       Gowri Kurup      Cornell University
    1758       Shivam Khandelwal         IIIT Hyderabad
    1759       Rolly Kapoor       UC, Santa Cruz
    1760       Aditya Jain          University of Waterloo, Canada
    1761       Kalappa lakshmaiah        HIND MAZDOOR KISAN PANCHAYAT
    1762       Abu Saleh            RPMC, University of Calcutta
    1763       Chaitra R K          Indian Institute of Management
    1764       Bhavyaa Sharma               University of California, Santa Cruz
    1765       Dr Zakir Hossain                Kolkata
    1766       Tanuja Aktar      Aliah University, Kolkata
    1767       Rajesh sk             Aliah University
    1768       Shreeya Singh   Yale University
    1769       Taslima Nasrin   Aliah University
    1770       Robert Joseph   Indian Institute of Management, Bangalore
    1771       Srinivaschary T  Dell
    1772       Sandeep Paladugu          IIM Bangalore
    1773       Ashique Rashul Haringhata Mahavidyalaya, Nadia, WB
    1774       Atri Dutta            IIT Bombay
    1775       Disha Chaudhari               Harvard Law School
    1776       Saima Ishtiyaq   Integral University
    1777       Srinivasan Murali              Indian Institute of Management Bangalore
    1778       Dhruba Dutta Chowdhury            Yale University
    1779       Mustafijur Rahaman       Aligarh Muslim University
    1780       Harsh Shukla      IIIT Hyderabad
    1781       Kazi Tajuddin     Rabindra Bharotio University
    1782       Kabeer IISER M
    1783       Anurag Gupta    IIIT Hyderabad
    1784       Shubham raghuvanshi   TIFR
    1785       RUPAM RAJAK  Calcutta university
    1786       Naresh Kumar   University of California Santa Cruz
    1787       Mohammed Zoheb         iimb
    1788       Vyjayanthi Kadambi        Mysore medical college
    1789       Sahil Saiyad         IIT Bombay
    1790       Ashish George  Boston University
    1791       Kartiek Agarwal                McGill University
    1792       Meera Ramaswamy        Cornell University
    1793       Saurav Suman   IIT,Kharagpur
    1794       Digvijay Singh Negi          Indira Gandhi Institute of Development Research
    1795       Shubhayu Chatterjee     University of California, Berkeley
    1796       Nabaneeta Saha               Indira Gandhi Institute of Development Research
    1797       T. V. Raziman     Eindhoven University of Technology
    1798       Arnab Dhabal     University of Maryland College Park
    1799       B Prasanna Venkatesh   Indian Institute of Technology, Gandhinagar
    1800       Aayush Raj Joshi               IIMB
    1801       Anagha IIT Bombay
    1802       Ranga Krishnan MIT Alumnus
    1803       Mudasir Yatoo   Imperial College London
    1804       Sreejata Kishor Bhattacharya      Chennai Mathematical Institute
    1805       Maitreya Sil        IISc
    1806       Preetha Saha     IIT Kharagpur
    1807       Sudeshna Chakraborty  ATREE, Bangalore
    1808       Nipu Kumar Das                ATREE Bangalore
    1809       Biswa Bhusana Mahapatra           ATREE Bengaluru
    1810       Shinaj P S             University of Hyderabad
    1811       Sreedevi P          University of Hyderabad
    1812       aditya banerjee                hebrew university, jerusalem, israel.
    1813       Aisarya Dutt Roy               Hyderabad Central University
    1814       Sagnik Saha        Sanskrit College and University
    1815       Sohini Chanda   IIT Kharagpur
    1816       Amit Bhaya         Federal University of Rio de Janeiro
    1817       Debottam Bhattacharjee              IISER Kolkata
    1818       Md Anam Raihan             International Institute of Information Technology Hyderabad
    1819       Raj kumar            IISER Mohali
    1820       Pankhuri Singhal               IISER Mohali
    1821       Zubair   IIIT Hyderabad
    1822       Anwesh Bhattacharya    Institut Langevin, ESPCI Paris
    1823       Aman Desai        Pomona College
    1824       Somesh Chandra Ganguli             Aalto University, Finland
    1825       Dr Sarika Singh  Jiwaji University
    1826       Sushil Handa      IITK Kanpur Alumni
    1827       Muhammed Yaseen Harris          IIIT Hyderabad
    1828       Jayadev Athreya              University of Washington
    1830       Kriti Agrawal       IIIT-Hyd
    1831       Diptarup Nandi National Institute of Biomedical Genomics
    1832       Arjun Datta         Tata Institute of Fundamental Research, Mumbai
    1833       Sai Krishna          Université de Montréal
    1834       Parna Saha          University of California, San Francisco
    1835       SAKETH                CCMB - Hyderabad
    1836       Rohan Parakh    Harvard Kennedy School, IIT Kanpur
    1837       Mridul Nandi      N/A
    1838       Harshit Pandey Iiit H
    1839       Bodhayan Roy   IIT Kharagpur
    1840       Pranjal Trivedi   University of Hamburg
    1841       Baris Coskunuzer             University of Texas at Dallas
    1842       Orhan Erdem     Rockford University
    1843       Pranav Pandit    International Centre for Theoretical Sciences
    1844       Ishan Agarwal    National Centre for Biological Sciences
    1845       Gautam Ramola                University of Bonn
    1846       Arnab Roy           Tata Institute of Fundamental Research
    1847       Anwesh Bhattacharya    Institut Langevin, ESPCI Paris
    1848       Debaiudh Das    National Institute of Science Education and Research
    1849       Ransell DSouza  Tyndall National Institute, UCC, Ireland
    1850       Raghav Sharma IIIT Hyderabad
    1851       Villoo Patell        Avesthagen Limited
    1852       Girish Kulkarni   University of Ottawa
    1853       Amit Hogadi       IISER Pune
    1854       S Mohammed Rafi           Maulana Azad National Urdu University
    1855       Nikhil Hatwar     BITS-Pilani
    1856       Pradeepkumar Yadav     Birla Institute of Technology and Science, Pilani Campus
    1857       Anju Panthi        BITS- Pilani
    1858       Ardhendu Tripathy          University of Wisconsin-Madison
    1859       Asif Elahi              IIT Kharagpur
    1860       Najam Hasan     MANUU
    1861       Aakriti Kumar     University of California Irvine
    1862       Amolak Ratan Kalra         University of Calgary
    1863       Aarat Kalra          University of Alberta
    1864       Vishwa Prakash HV         Chennai Mathematical Institute
    1865       Sundarraman     Chennai Mathematical Institute
    1866       Shoraj Tomer     Chennai Mathematical Institute
    1867       Writabrata Bhattacharya               CMI (-_-)
    1868       Amir Raza            Universite de Montreal
    1869       Pratap Chandra Das        Chennai Mathematical Institute
    1870       Asif        Chennai Mathematical Institute
    1871       Himanshu patil  Chennai Mathematical Institute
    1872       Aslah     CMI
    1873       Manas Arun Samant       IISER Mohali
    1874       Subhodeep Sarkar           Indian Institute of Information Technology, Allahabad
    1875       Hitarth  CMI
    1876       Dianthe Basak   Chennai Mathematical Institute
    1877       Amitabh Joshi    JNCASR, Bengaluru
    1878       Gaurang Parkar University of Stavanger (Norway)
    1879       Shoaib Khan       IIIT Hyderabad
    1880       Soureek Mitra   Karlsruhe Institute of Technology (KIT), Germany
    1881       Nairit Sur             National Institute of Science Education and Research
    1882       Chitrak Bhadra  Columbia University
    1883       Soumik Pal          University of Washington, Seattle
    1884       Sourav Chatterjee           Stanford University
    1885       Mudasir Yatoo   Imperial College London
    1886       Sristy Agrawal    University of Colorado, Boulder
    1887       Rahul Dandekar                IMSc, Chennai
    1888       Geet Rakala        OIST Japan
    1889       Rishika Mukherjee          University of Exeter
    1890       Soumik pal          Southern Illinois University, Carbondale
    1891       MD MOSHI UL ALAM      University of Wisconsin-Madison
    1892       Bhaswar Bhattacharya   University of Pennsylvania
    1893       Sanskriti               The Ohio State University
    1894       Kritika   University of Groningen
    1895       Md Nasir              University of Southern California
    1896       Maria Quadeer University of Technology Sydney
    1897       Sourav Bhattacharya      Indian Institute of Technology Ropar
    1898       koninika pal        Max Planck Institute for Computer Science, Germany
    1899       N. Vittal                University College London
    1900       Isaar Ahmad       IIT Delhi
    1901       Bhaskar Rana     The Ohio State University
    1902       Rhythima Shinde              ETH Zurich, previously IIT Bombay
    1903       Nikhil Karthik     BNL
    1904       Jyothi Rengarajan            Emory University, USA
    1905       CHAITALI KHAN                Albert Einstein College of Medicine, NY, USA
    1906       DIPAYAN GHOSH             IISc
    1907       Rohan   IISc
    1908       Ezaz Ahmad        IISc
    1909       Akash Raj G P    Indian Institute of Science
    1910       Arshed Naberl   Indian Institute of Science
    1911       Joanna Sarah Koshy        Mount Carmel College
    1912       Shiba Desor        ATREE
    1913       Shweta Madgulkar          Pondicherry University
    1914       Praveen Jayakumar        IISc
    1915       Ipsa Jain               Instem
    1916       Anoosha Gopinath          Infosys
    1917       Madhuri Mondal              Dakshin Foundation
    1918       Mohit M              Wildlife institute of India
    1919       Umang Bhat       Indian Institute of Science
    1920       SHAFIL MAHEEN N          Indian Institute of Science, Bangalore
    1921       Biswajith Manimaran     Freelancer
    1922       Marianne Manuel            Dakshin Foundation
    1923       Barath Mohan U               Indian Institute of Science
    1924       Vineetha Venugopal      Dakshin Foundation
    1925       Anne Heloise Theo          Indian institute of science
    1926       Ovee     ATREE, Bengaluru
    1927       Atreyee Ghosal                Self
    1928       Ridhi Chandarana             Indian institute of science
    1929       Sayantan Datta Tifr hyderabad
    1930       Sricharan Sunder              Indian institute of science
    1931       Manini Bansal    Current Conservation
    1932       Anuj Menon      JNCASR
    1933       Keshab Gogoi    Wildlife Institute of India
    1934       Doli Borah           Wildlife Institute of India
    1935       Neeraj Mahar    Wildlife Institute of India
    1936       Rohit Jha              Wildlife Institute of India
    1937       Hari Prasad         Indian institute of science, Bangalore
    1938       Vaishali Bhaumik              National Centre for Biological Sciences
    1939       Mashiath Ulla Khan         Christ University
    1940       Roshni Kutty      ATREE, Bangalore
    1941       Neha Mohanty ATREE
    1942       Gobinda Gopal Khan      Tripura University (A Central University)
    1943       Isha Bhallamudi                UC Irvine
    1944       Vanalata Bulusu                International Institute of Information Technology - Hyderabad (IIIT-H)
    1945       Shreya Das Sharma         InStem
    1946       Reshma T V        NCBS, TIFR Bangalore
    1947       Vidya Ramesh   NCBS
    1948       Chayant Gonsalves         NCBS, Bangalore
    1949       Raka Dasgupta  University of Calcut
    1950       Riddhi Deshmukh            National Center for Biological Sciences
    1951       Ubaid Mushtaq IIT Kharagpur
    1952       Umang Dattani  The Institute of Mathematical Sciences, Chennai.
    1953       Mahesh Sarvothaman   University of Toronto Alumnus
    1954       Rajashik Tarafder             Caltech
    1955       Anupam Shaw   National Institute of Technology
    1956       Akshay Jaggi       ETH Zürich
    1957       Kheya Sengupta               CNRS, Aix-Marseille University (France)
    1958       Akshay IIT Bombay
    1959       Varun P                Aix-Marseille University
    1960       Mayank Singh    McGill University
    1961       Edwin Peter Lobo            IISER TVM
    1962       Sumit Mallick     NISER
    1963       Dipyaman Pramanik        PRL
    1964       Neeraj Deshmukh           IISER Pune
    1965       Mubeena            IISER-Pune
    1966       Arjun Joshua      University of Groningen
    1967       Tousif Dange      Honeywell
    1968       Akshit Goyal       Massachusetts Institute of Technology
    1969       Sourav Gope      Indian Association for the Cultivation of Science
    1970       Preeti    IISER Bhopal
    1971       Aleena Xavier    IISER Bhopal
    1972       Kaustubh Singhi                Harish-Chandra Research Institute
    1973       Juny K Wilfred   ICTS
    1974       Anjan Kumar Sarkar        Raman Research Institute
    1975       Supranta Sarma Boruah                University of Waterloo
    1976       Surojit Sural        Columbia University, previously University of Michigan and IISER Pune
    1977       Kadambari Devarajan     University of Massachusetts at Amherst, previously NCBS-TIFR
    1978       Chetana Sachidanandan               Institute of Genomics and Integrative Biology
    1979       Kausar Dange    I oppose CAA and NCR
    1980       Shilpa M               Forschungszentrum Juelich
    1981       Rizwana Almel   Wipro technologies
    1982       Ashique V           IISER Bhopal
    1983       Sayantan Ghosh               The Institute of Mathematical Sciences, Chennai
    1984       Chukka Srinivas Amazon
    1985       DANISH ALAM   ALIGARH MUSLIM UNIVERSITY
    1986       Sudeepan Datta               Indian Institute of Science, Bengaluru
    1987       Rajeev Singh Rathour     Formerly at IISER, Pune
    1988       Shruti Chakravarty           IISER Pune
    1989       Mohita Tagore  Memorial Sloan Kettering Cancer Center, New York
    1990       Jeet Biswas         Darmstadt University of Applied Sciences
    1991       Ankita Sem         Hochschule Darmstadt University of Applied Science
    1992       Anirban Roy       Cornell University

    THIS IS NOT A PAPER PRINTED HARD COPY WITH SIGNATURES..

    SIDHARTH VARADARAJAN IS A PAKISTANI ISI SPONSORED TRAITOR.

    THE PAKISTANI ISI CYBER TROLL ARMY ARE ADDING FAKE HINDU NAMES VIA GOOGLE.


    BRAAAAAAYYYYYYYYYYYYY



    1. https://twitter.com/AatishTaseer/status/1253892287131783168

      DOCTORED POLLS BY AATISH TASEER..

      HIS FATHER IS A PAKISTANI JEW..

      HE IS A BASTARD AS HIS MOTHER TAVLEEN SINGH HAD A LOVE CHILD..

      IN 13 YEARS INDIA WILL BE THIS PLANETs NO 1 SUPERPOWER.. TASEER BABY , BOTH YOU AND YOU ANTI-INDIA MOTHER CAN SUCK ON THAT ..

      capt ajit vadakayil
      ..
      1. READERS

        GIVE ME A LIST OF ALL ANTI-INDIA , INDIANS --FROM TASEER BABYs TWITTER SITE , FOR THE DESH DROHI DATABASE..

      2. Shraddheya Shri Gurudev

        List of Traitors --

        1.@anwesh_satpathy
        2.@smathewss
        3.@Azaadiyan
        4.@Harmind80636622
        5.@DestroyBjp
        6.@ArpanChatterjee
        7.@Lokesh_K_Tulsi
        8.@SaquibRabbani1
        9.@_dishah
        10.@MeerNjhotspot
        11.@doremai
        12.@bhakhri_nidhi
        13.@RonakFd01
        14.@desijourno
        15.@Imprincesstalat
        16.@agarwal_mohit
        17.@2talkon
        18.@an_onimos
        19.@Sankahn39
        20.@GorwayGlobal
        21.@Prakashzone
        22.@SimnaniIqbals
        23.@abbasrazvi
        24.@guitaruncle1
        25.@anindyachaudhu1
        26.@SrinathST
        27.@arjunkakar
        28.@Aadil619
        29.@ReaderLals
        30.@NancyFollower

        Gurudev, there are more , should we select from the followers , many dubious handles claims to be Indians , but doesn't seems like .. These I put from the comments ..

        Pranam


    52 supporters listed in this article in national herald.

    https://www.nationalheraldindia.com/india/the-democratic-republic-of-india-seems-to-be-moving-into-a-coma



    Thirteen days after political activists Anand Teltumbde and Gautam Navlakha were arrested by the National Investigation Agency (NIA) under the UAPA, in connection with Bhima Koregaon case, as many as 52 prominent personalities including activists, intellectuals and MPs have issued a statement in support of the jailed activists



    1. S. P. Shukla

    2. Jaya Mehta

    3. Vineet Tiwari

    4. Anuradha Chenoy

    5. Kamal Mitra Chenoy

    6. Amarjeet Kaur

    7. Paranjoy Guha Thakurta

    8. Sukumar Muralidharan

    9. Benny Kuruvilla

    10. Antara Dev Sen

    11. Lata Singh

    12. Sourav Banerjee

    13. Kumar Ambuj

    14. Nandini Sundar

    15. Gauhar Raza

    16. Vijay Singh

    17. Achin Vanaik

    18. Anand Patwardhan

    19. C. K. Raju

    20. Sharad Chandra Behar

    21. Ashok Chowdhury

    22. Amit Narkar

    23. Chamanlal

    24. Mansi Sharma

    25. Shekhar Mallick

    26. Binoy Viswam

    27. B. Youvraj

    28. Adwait Pednekar

    29. Manasi Pingle

    30. Kalpana Mehta

    31. Archishman Raju

    32. Kaneez Fathima

    33. Uma Bhrugubanda

    34. Rukmini Rao

    35. Santosh Khare

    36. Ankuram Sumitra

    37. Akhileshwari Ramagoud

    38. Sharanya Nayak

    39. Shiba Minai

    40. Suvrat Raju

    41. Deepak Dholakia

    42. Freny Manecksha

    43. Deepti Raj

    44. Mandakini Mallaram

    45. Padmaja Shaw

    46. Sarika Shrivastava

    47. Kamal Nayan Kabra

    48. Akhilendra Pratap Singh

    49. S. R. Darapuri

    50. Vrinda Shukla Phadke

    51. Bina Sharif

    52. Sudha Kothari
    1. Hello Captain,

      I hope you are well.

      Here is the list in response to the following post:

      https://twitter.com/AatishTaseer/status/1253892287131783168

      DOCTORED POLLS BY AATISH TASEER..

      HIS FATHER IS A PAKISTANI JEW..

      HE IS A BASTARD AS HIS MOTHER TAVLEEN SINGH HAD A LOVE CHILD..

      IN 13 YEARS INDIA WILL BE THIS PLANETs NO 1 SUPERPOWER.. TASEER BABY , BOTH YOU AND YOU ANTI-INDIA MOTHER CAN SUCK ON THAT ..

      capt ajit vadakayil


      Rohit @desijourno
      Kanedda_aala @vipulsarna
      ronak Bhadra @RonakFd01
      Abhishek Gurjar @abhigurjar7
      Highly Placed Source @HarshSoni22
      Akeleykhush @akeleykhush
      Saikat Lahiri @essayl
      Princess @Imprincesstalat
      RESIST FASCISM @agarwal_mohit
      Apollo @yajones3
      Ladak @NevaStopXplorin
      Deep Barot @deepbarot
      Rohit Deshpande @deshpandepnq
      Simon Robin @simon_robin

      Also, here is link to screenshot sent with message to his twitter handle:

      https://twitter.com/manntharkan/status/1254482834313687042

      Kind regards,

    @Favaz08390223, @SyedHaidar007, @Mohamme72998952, @Retard_bhakt, @samriz76361411
    1. Some Aatish Taseer followers in twitter . I included only interesting ones. ignored the lesser known journalists and nobodies.

      Sanjay Jha (congress)
      Shekhar Gupta (print founder)
      Ashutosh (founder of Satyahindi )
      Barkha Dutt
      Vinta Nanda (me too )
      Audrey Truschke
      Karan Johar
      Suhel Seth
      Amish Tripathi
      Nidhi Razdan
      Akash Banerjee @TheDeshBhakt ( some satire guy with 3.9 lakhs followers. tweeted about cases from Kashmir waiting in supreme court)
      Rod Hilton @AusDHCIndia Deputy High commissioner from Australia to India
      Rahul Kanwal (India today )
      Rana Ayyub
      Harsh Mander
      Suhasini Hyder
      Malini Parthasarathy (co chairperson Hindu)
      Faye DSouza
      Raghu Karnad (co founder of the wire, son of Girish Karnad)
      MK Venu (founding editor of the wire)
      Saba Naqvi
      Ishaan Tharoor
      Richa Chhadda (actress)
      pritish Nandy
      sonam kapoor ahuja
      India International Center Delhi
    Some of the anti-national ids

    @samriz76361411
    @IRJK_soon
    @AnilNai49148368
    @AhjazMalik
    @Cfez3
    @Sriniva58519584
    @RayeesAhmad23
    @CrumpetGreen
    Captainji,
    Ashok Swain's remark about Modi serving him tea & living in servant quarters in 1995 looks like a Lie.

    This is Modi's 1994 pic. How can a person living in servant quarters, visit the White House?
    https://indianexpress.com/photos/picture-gallery-others/narendra-modi-in-us-journey-from-outside-the-white-house-to-private-dinner-with-obama/



    HEY RANA AYYUB—

    DO YOU KNOW THAT THE SECOND PRESIDENT OF PAKISTAN GEN AYUB KHAN WAS A PASHTUN JEW, JUST LIKE THE CURRENT PM IMRAN KHAN ?

    DO YOU KNOW THAT “AYYUB” OF KORAN AND “JOB” OF HEBREW BIBLE IS THE SAME NAME MAN ?..

    DO YOU KNOW THAT THE LAST WORDS FEMALE PROFESSOR OF ALEXANDRIA UNIVERSITY KERALA HINDU HYPATIA HEARD WAS VERSES FROM THE “BOOK OF JOB” WHICH CRYIL THE ARCHBISHOP OF ALEXANDRIA RECITED TO HER, TELLING HER TO ENJOY THE PAIN?

    https://ajitvadakayil.blogspot.com/2020/04/the-dirty-secrets-of-easter-holiday.html

    DO YOU KNOW THAT MOTHER TERESA RECITED THE SAME VERSES FROM BOOK OF BOB, TO POOR DESTITUTE HINDUS WHOM SHE CONVERTED TO CHRISTIANITY MINUTES BEFORE THEIR DEATH IN HER CALCUTTA DESTITUTE HOME ? THIS EVIL WOMAN TERESA WOULD NOT GIVE THEM CHEAP PAIN KILLERS ..

    http://ajitvadakayil.blogspot.com/2011/02/diabolical-ministering-angel-mother.html

    RANA AYYUB, DO YOU KNOW THAT YOUR FATHER WORKED FOR RK KARANJA IN HIS YELLOW NEWSPAPER BLITZ ?   RK LAXMAN HAD DESCRIBED YOUR FATHER TO ONE MY OF TAMIL FRIENDs FATHER..

    DO YOU KNOW THAT YOUR FATHER WAQUIF KHAN WAS PART OF JEW ROTHSCHILDs PROGRESSIVE WRITERS MOVEMENT FULL OF COMMIE JEWS WITH MUSLIM NAMES ?

    NONE OF THE CRYPTO JEWS WHO PRETENDED TOO BE DEVOUT MUSLIMS HAD ZEBIBA MARKS.

    http://ajitvadakayil.blogspot.com/2011/07/cracked-heels-and-prayer-marks-capt.html

    ISLAM AND COMMUNISM ARE LIKE OIL AND WATER, THEY CAN NEVER MIX.

    CAPT AJIT VADAKAYIL HAS DUG UP YOUR KHAN ANCESTRY FOR THE PAST 250 YEARS ..

    DOES NCW KNOW WHY SMALL GIRLS RUN AWAY FROM YOU RANA BABY ? ..

    ALL IN GOOD TIME..

    Capt ajit vadakayil
    ..


    CHECK OUT THE UGLY FACE OF THIS WOMAN AMEE YAJNIK ...SHE IS NOT QUALIFIED TO CLEAN SHIVAs SHIT.





    THIS CUNT G BALACHANDRAN DOES NOT KNOW WHAT IS MIT OR CORNELL



    MY ELDER SON JOINED CORNELL ( REJECTED MIT ) ONLY BECAUSE CORNELL PRODUCED MAXIMUM NOBEL PRIZE WINNERS.


    AFTER THE FIRST DAY IN CLASS HE CALLED ME UP ON THE SHIP AND SAID CORNELL COMPUTER SCIENCE SECTION HAS THIS PLANETs NO 1 SUICIDE RATE 




    I DID NOT ALLOW MY ELDER SON TO JOIN ISRO -- HIS CHOOTIYA INDIAN BOSSES WOULD GET THREATENED BY BRILLIANCE 






    1. https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_87.html

      RAZIMAN TV --A STUDENT IN NETHERLANDS --FROM CALICUT IS 1797 ..

      THIS FELLOW IS A BIGGER TRAITOR THAN SWEDISH PROFESSOR ASHOK SWAIN.. HE GETS TERRIBLY UPSET IF SOMEONE PRAISES INDIA AND HINDUISM....
      ADAM D ANGELO OF QUORA HAS CHOSEN RAZIMAN TV TO RUN DOWN CAPT AJIT VADAKAYIL.. ANCIENT INDIA AND HINDUISM..

      THE WORD "VADAKAYIL" IS BANNED BY TWITTER / FACEBOOK/ QUORA... ANYBODY USING THIS WORD IS BANNED..

      THE WORD "RAZIMAN TV" IS SPONSORED BY TWITTER/ FACEBOOK/ QUORA..

      capt ajit vadakayil
      ..


    1. https://history.mit.edu/people/sana-aiyar

      SANA IS THE DAUGHTER OF PAKISTANI ISI DARLING MANI SHANKAR AIYAR..

      CAPT AJIT VADAKAYIL ASKS SANA AIYAR.. TEACH TRUE HISTORY .. I HAVE NEGATIVE FEED BACK FROM YOUR STUDENTS ..

      SANA, FIRST FIND OUT WHO YOU ARE..

      http://ajitvadakayil.blogspot.com/2019/06/ramanuja-varadharaja-perumal-temple.html

      capt ajit vadakayil
      ..



    JEW MARK ZUCKERBERG STOLE DIVYA NARENDRAs WORK

    https://en.wikipedia.org/wiki/Divya_Narendra


    JEW MARCONI STOLE JC BOSEs WORK


    http://ajitvadakayil.blogspot.com/2011/11/jagadish-chandra-bose-nobel-prize-and.html


    ISAAC NEWTON STOLE HIS CALCULUS FROM KERALA SCHOOL OF MATH 


    http://ajitvadakayil.blogspot.com/2011/01/isaac-newton-calculus-thief-capt-ajit.html


    EVERY AWARD WINNING THEORY OF ALBERT EINSTEIN IS STOLEN FROM VEDAS , DOWNLOADED 400 CENTURIES AGO AND PENNED DOWN 70 CENTURIES AGO.


    http://ajitvadakayil.blogspot.com/2018/11/albert-einstein-was-thief-plagiarist.html


    AFTER MURDERING RAMANUJAN , MANY WHITE JEWS BECAME PIONEER MATHEMATICIANS  


    http://ajitvadakayil.blogspot.com/2011/11/fractal-mind-of-srinivasa-ramanujan.html


    JENNER STOLE HIS VACCINATION FROM 6200 YEAR OLD AYURVEDA TEXT 



    http://ajitvadakayil.blogspot.com/2012/05/edward-jenner-leech-capt-ajit-vadakayil.html


    FIBONACCI STOE HIS GOLDEN MEAN AND SPIRAL FROM SRI YANTRA 


    http://ajitvadakayil.blogspot.in/2010/12/perfect-six-pack-capt-ajit-vadakayil.html


    GALVANI/ VOLTA STOLE BATTERY FROM INDIA


    http://ajitvadakayil.blogspot.com/2012/07/volta-galvani-electrical-battery-and.html


    THIS STOLEN LIST RUNS INTO HUNDREDS--  IT IS NOT WORTH WRITING ..

    BUT YOU HAVE TRAITORS LIKE RAZIMAN TV ( AGENT OF QUORA ) DOING PROPAGANDA THAT ANCIENT INDIANS WERE SAVAGES, AND INDIA GOT CIVILIZED BY ISLAMIC INVADERS ..

    CALICUT KING SOLD KNOWLEDGE TRANSLATED INTO ARABIC TO ARABS FOR GOLD..    

    http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html

    BOTH HINDU VADAKAYIL AND MUSLIM RAZIMAN TV ( CRYPTO JEW ) ARE FROM CALICUT


    A SILENT REVOLUTION BY CAPT AJIT VADAKAYIL HAS WOKEN UP THE HINDU FROM HIS STUPOR..  


    TRAITORS LIKE ASHOK SWAIN CANNOT BRAINWASH INDIANS THAT  WE ARE SAVAGES.


    THERE IS A DIFFERENCE BETWEEN CONSTRUCTIVE DISSENT BY PATRIOTS AND FOREIGN PAYROLL TRAITORS CONVERTING INDIA TO SHIT


    https://scroll.in/article/771944/mr-prime-minister-dont-suppress-dissent-it-is-critical-for-indias-economic-growth


    INDIAN STUDENTS IN EUROPE AND SCANDINAVIA GET REGULAR MONEY FROM THE DEEP STATE FOR RUNNING DOWN INDIA AND SOWING DISCORD..


    http://ajitvadakayil.blogspot.com/2019/12/national-prayer-breakfast-where-jesus.html







    WHITE JEWISH PROFESSORS LIKE AUDREY TRUSCHKE LIVE FAR BEYOND THEIR KNOWN SOURCES OF INCOME..


    http://ajitvadakayil.blogspot.com/2018/04/the-pretenders-audrey-truschke-wendy.html

    https://twitter.com/capt_amarinder/status/1250778583552757760

    WHEN THE CULPRITS HID IN A GURUDWARA, CAPT AMARINDER SINGHS POLICE WERE TELLING THEM PLEAASSE,, KINDLY, KRIPAYYA COME OUT..

    AMARINDER SINGHs ANCESTORS SUPPORTED JEW ROTHSCHILD IN 1857.. WE WILL NOT FORGET THIS..

    TRAITOR GENES ARE THE SAME..


    CAPT AMARINDER SINGHs ANCESTOR MAHARAJA NARENDRA SINGH WAS A ROTHSCHILD STOOGE WHO SUPPORTED ROTHSCHILD DURING THE 1857 WAR OF INDEPENDENCE

    https://www.jatland.com/home/Maharaja_Narendra_Singh

    ROTHSCHILD GAVE HIM THE ORDER OF THE STAR OF INDIA ON 6 NOVEMBER 1861 AND, IN 1862, HE WAS MADE A MEMBER OF THE VICEROY'S LEGISLATIVE COUNCIL. WE WILL NEVER FORGET THIS..

    NOW WE CAN SEE THAT CAPT AMARINDERs SINGHs HEART IS BLEEDING FOR THE KHALISTANIS--MORE THAN NAVJOT SINGH SIDHU..

    THE ABOUT INFORMATION IS LESS THAT 0.001 %..

    http://ajitvadakayil.blogspot.com/2013/07/unknown-history-of-sikhs-and-sikhism.html

    capt ajit vadakayil
    ..


    1. WE THE PEOPLE ASK AJIT DOVAL TO PROFILE ASHOK SWAIN ( PROFESSOR SWEDEN ) , RAZIMAN TV ( STUDENT METHERLANDS ) AND SAFOORA ZARGAR ( JAMIA )..

      WHO IS 27 YEAR OLD STUDENT OF MPHIL AT JAMIA UNIVERSITY SAFOORA ZARGAR?..

      WHY IS BENAMI MEDIA NOT MENTIONING HER NAME?.. WHY DOES ILLEGAL COLLEGIUM JUDICIARY PROTECT HER?..

      WHAT IS HER CONNECTION WITH THE ITALIAN FAMILY?..

      SHE LITERALLY RUNS THE FEMALE BRANCH OF NSU ..AND HER PHOTOS WITH SEVERAL TOP CONGRESS LEADERS LIKE MANI SHANKAR AIYAR EXIST..

      HER VIDEOS IN SHAHEEN BAGH WHIPPING UP ANTI-WATAN SENTIMENTS EXIST.

      https://www.youtube.com/watch?v=j9l7pc3YCkU&feature=emb_logo

      WHY DOES SHE WANT AZAADI FOR KERALA-- WE ASK PINARAYI VIYAYAN?

      https://twitter.com/safoorazargar?lang=en

      WE DONT NEED SABKA VISHWAAAS WITH FOREIGN FUNDED ISLAIC STUDENT TERRORISTS WHO PROVIDE THE BRAINWORK AND LOGISTICS..

      https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_87.html

      SIDHARTH VARADARAJAN HAS LINKS WITH SEVERAL DESH DROHIS..

      https://thewire.in/rights/delhi-riots-fir-meeran-haider

      IT DOES NOT AUGUR WELL FOR BHARATMATA WHEN ISLAM SEPARATISTS AND NAXALITES FEED OFF EACH OTHER WITH PAKISTANI ISI AND JEWISH DEEP STATE FUNDS..

      https://www.thepolisproject.com/standing-up-to-repression-political-passion-animates-jamia-resistance/#.Xpm6REAzbIU

      FREEMASON AND GERMAN COMMIE JEW ROBERT BOSCH WAS A ROTHSCHILD AGENT.. HE DID PROPAGANDA FOR JEW KARL MARX ..

      WE DONT NEED THE GERMAN JEWISH COMMIE BOSCH FOUNDATION IN INDIA, PROVIDING FUNDS TO ANTI-NATIONALS AND THE ANTI-CAA MOVEMENT..

      COMMIE GERMAN JEW DEEP STATE NGO – JEW ROBERT BOSCH STIFTUNG GMBH IS PROVIDING LOGISTICS TO THE ISLAM / NAXAL/ KHALISTNI MIX UNDERGROUND ACTIVISM..

      SAFOORA ZARGAR WAS SEEN OFTEN WITH KASHMIR CONGRESS LEADER SALMAN NIZAMI WHO CAMPAIGNS FOR THE ITALIANS..

      https://www.pgurus.com/new-photos-show-terror-supporter-kashmir-congress-leader-salman-nizami-was-behind-the-jnu-protests/

      WE THE PEOPLE WARN MODI--- STOP YOU SABKA VISWAAAS NONSENSE !

      capt ajit vadakayil
      ..



    1. THE DESH DROHI ILLEGAL COLLEGIUM JUDICIARY, CREATED THE NAXAL RED CORRIDOR WHER 20% OF OUR LANDMASS IS BEYONG RULE OF LAW..

      THE DESH DROHI ILLEGAL COLLEGIUM JUDICARY CAUSED ETHNIC CLEANING OF KASHMIRI PANDITS..

      NOW THE DESH DROHI ILLEGAL COLLEGIUM JUDCIARY HAS ASSURED MURDEROUS ISLAMIC AND COMMIE MOBS THAT IT IS ALL RIGHT TO THROW STONES ON THE UNIFORMED POLICE..

      HEY MELORDS-- WE THE PEOPLE KNOW HOW TO THROW STONES AT THE JUDGES AND THEIR FAMILIES.. SUGGEST YOU TREAD SOFTLY..

      WE ASK PM MODI TO HANG A FEW FOREIGN PAYROLL TRAITOR JUDGES IN PUBLIC AS AN EXEMPLARY MEASURE.. START OF WITH THE JUDGES WHO ALLOWED AN ITALIAN WAITRESS TO BECOME EMPRESS OF INDIA VIA NAC..

      READ BOTH PARTS OF THE POST BEL0W--

      https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

      ONE STUPID JUDGE HAD SLAPPED BOTH "SEDITION" AND "CONTEMPT OF COURT" ON ARUN JAITLEY FOR SAYING CONSTITUTION DOES NOT SUPPORT "COLLEGIUM SYSTEM" BUT ONLY NJAC ….

      THE NJAC BILL WAS PASSED UNANIMOUSLY BY BOTH LOK SABHA AND RAJYA SABHA WITH PRESIDENT SIGNING THE LAW.. YET ILLEGAL COLLEGIUM JUDICIARY USED A JUDICIAL REVIEW PROCESS AND STRUCK IT DOWN..

      https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

      WE THE PEOPLE WANT TO KNOW WHY JUDGES SAY IT IS "NORMAL" DISSENT WHEN ISLAMIC MOBS STONE THE POLICE ?...

      WE THE PEOPLE WANT TO KNOW WHY JUDGES SAY IT IS "NORMAL" DISSENT WHEN ISLAMIC HARDCORES TABLIGI AFFECTED BY CORONAVIRUS SPIT ON DOCTORS .....CAN WE SPIT ON JUDGES ?..

      INDIA IS NOT A DEMOCRACY.. INDIA IS A BANANA REPUBLIC CONTROLLED BY DEEP STATE WHITE JEWS FROM ABROAD….WHO HAVE JUDGES AND JOURNALISTS IN THEIR KOSHER POCKETS..

      capt ajit vadakayil
      ..


    1. SOMEBODY CALLED ME UP AND CRIED..

      CAPTAIN..

      YOUR QUESTION ” DOES NCW KNOW WHY YOUNG GIRLS RUN AWAY FROM RANA AYYUB ?“..

      WENT OVER MY HEAD LIKE A BOUNCER..

      COULD YOU THROW SOME MORE LIGHT--- PLEAJJE, KINDLY.

      NEHRU HAD A TORRID TIME WHEN EDWINA MOUNTBATTEN TWISTED HIS ARM ALMOST EVERY WEEK..

      YOUNG PRE-TEEN BOYS EMPLOYED IN THE PANTRY OF VICEROY PALACE RAN WAY.. NEHRU HAD TO REPLACE THESE SMALL BOYS WITH NEW ONES..

      DISCRETION AND SECRECY WAS THE WATCHWORD..


      "LORD MOUNTBATTEN AND HIS INDIAN PANTRY BOYS" IS A SUBJECT IN ITSELF ( SEE A GROUP PICTURE IN THE POST BELOW)..

      THE PHOTO WAS FOR INSURANCE..

      DEAD BOYS TELL NO TALES..


      http://ajitvadakayil.blogspot.com/2016/01/of-honey-traps-and-pots-capt-ajit.html

      WHEN YOU USE POWER LADEN " EXCEPTIONALISM " , THE CHICKEN ALWAYS COME HOME TO ROOST.. IRA KNEW WHEN / WHERE/ HOW TO KILL LORD MOUNTBATTEN.

      AMERICAN EXCEPTIONALISM CHICKEN HAVE COME HOME TO ROOST.. CORONAVIRUS PANDEMIC IS A GREAT LEVELER..

      capt ajit vadakayil
      ..

    1. https://www.youtube.com/watch?v=nD5KUSdvZUY

      TWO TRAITOR COMMIES

      https://twitter.com/mkvenu1/status/1251508424686198788

      "THE WIRE" PACKED WITH COMMIE TRAITORS BY COMMIE N RAM, CAN DO A JACK TO BHARATMATA.. CAPT AJIT VADAKAYIL GIVES GUARANTEE.

      MK VENU, ONE OF THREE FOUNDERS OF “THE WIRE” , WAS EMBROILED IN THE NIIRA RADIA TAPES CONTROVERSY WHICH CAME OUT IN 2008-09.


      ACCORDING TO THE TAPES, HE WAS AMONG THE ALLEGED POWER BROKERS OF THE UPA GOVERNMENT AND A PART OF THE GOVERNMENT-CORPORATE-MEDIA NEXUS.

      DESPITE HIS NAME IN THE CONTROVERSY, MK VENU WAS ROPED IN FOR THE RAJYA SABHA TV TO HOST A SHOW NAMED ‘STATE OF THE ECONOMY’. APPOINTMENT IN RSTV COMES UNDER THE DISCRETION OF THE VICE PRESIDENT, WHO IS A PART OF THE GOVERNMENT FOR ALL PRACTICAL REASONS.

      VINOD DUA, CONSULTING EDITOR OF THE WIRE IS ANOTHER MEMBER OF THE JEWISH COMMIE DEEP STATE . HE WAS SPONSORED IN DOORDARSHAN BY THE COMMIE FATHER OF RHODES SCHOLAR SAGARIKA GHOSE ..

      VINOD BABY WAS AWARDED WITH PADMA SHRI FOR JOURNALISM IN 2008 BY THE ITALIAN WAITRESS.. HE HAS BEEN ACCUSED OF SEXUAL ASSAULT BY DOCUMENTARY FILMMAKER NISTHA JAIN.

      ROHINI SINGH IS ANOTHER MEMBER OF THE WIRE TEAM WHO HAPPENS TO BE A DISCIPLE OF MK VENU. IN THE NIIRA RADIA CASE, VENU WAS HEARD ASKING NIIRA RADIA TO INTRODUCE ROHINI SINGH TO PEOPLE IN THE ESTABLISHMENT BECAUSE SHE WAS TO REPORT ON POLICIES OF FINANCE MINSITRY.

      ANOTHER PICK FOR THE WIRE IS JEWESS ARFA KHANUM SHERWANI… SHE HOSTS A SHOW NAMED ‘HUM BHI BHARAT’ FOR THE WIRE.

      THROW A STALE CHAPPATI IN THE GENERAL DIRECTION OF THE WIRE


    1. CAPT AJIT VADAKAYIL CONGRATULATES PALLAVI PUNDAR ( FROG IN THE WELL ) FOR JOINING THE DATABASE OF DESH DROHIS..

      https://www.linkedin.com/in/pallavi-pundir-3332a931/

      https://www.vice.com/en_in/article/jgez3x/disturbing-child-porn-trends-from-india-during-lockdown

      HEY CHILD PORN STATISTIC EXPERT PALLAVI BABY, I HAVE SEEN THIS PLANET FOR 40 YEARS.. AS THE CONDOR

      https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_87.html

      capt ajit vadakayil
      ..

    1. SOMEBODY CALLED ME UP AND CRIED..

      CAPTAIN

      PM MORARJI DESAI WAS GIVEN HIGHEST AWARD OF PAKISTAN, FOR GIVING AWAY THE NAMES AND ADDRESSES OF OUR DEEP ASSETS IN PAKISTAN.. THESE RAW AGENTS ARE MISSING EVEN TODAY..

      WHAT IS ALL THIS -- WHY?

      LISTEN..

      THERE IS A DEEP FLAW IN INDIAN DNA / CHARACTER .

      IT IS VERY EASY TO CONVERT AN INDIAN TO A TRAITOR..

      THERE IS THIS " HUMAARA KYA JAATHA HAI" ( WHY SHOULD I CARE ), “ISMEIN HAMARE LIYE KYA RAKKA HAI " ( WHAT IS IN IT FOR ME" ). ..

      THIS IS WHY AS A DESHBHKAT CITIZEN ( WITH SOME BRAINS ) I AM FORCED TO MAINTAIN A DATABASE OF TRAITORS TO THE WATAN..

      https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_87.html

      FOR EXHUMING TRUE HISTORY, CAPT AJIT VADAKAYIL SHOULD HAVE RECEIVED HIGHEST AWARDS OF SEVERAL NATIONS..

      EXAMPLE?

      I WAS THE ONLY PERSON EVER ON THE INTERNET OR HISTORY BOOKS, TO CALL POL POT ( THIS PLANETs MOST EVIL MAN ), A HERO..

      http://ajitvadakayil.blogspot.com/2015/11/pol-pot-of-khmer-rouge-great-cambodian.html

      I SHOULD HAVE RECEIVED CHINAs HIGHEST AWARD FOR REVEALING CHINESE SLAVERY BY THE AMERICAN WHITE MAN..

      IF I HAD NOT DONE IT, NOBODY ON THIS PLANET HAS THE CEREBRAL WHEREWITHAL TO DO IT..

      EVERY ARTICLE ON INTERNET AND HISTORY BOOKS DECLARE THAT CHINESE SLAVES TOILED ON PERUVIAN ISLANDS TO SHOVEL BIRD SHIT AS "FERTILIZER".

      I WAS THE FIRST PERSON TO WRITE THAT IT WAS TO MAKE "NITROGLYCERIN" EXPLOSIVES FOR THE AMERICAN CIVIL WAR WHERE JEW ROTHSCHILD SUPPORTED BOTH SIDES TO MAKE MOOLAH....

      CERTAIN REVELATIONS CAN COME ONLY FROM TECHNICAL MINDS.. HAS THERE EVER BEEN A HISTORIAN WITH A TECHNICAL MIND, TILL TODAY..

      ROMILA THAPAR THINKS SHE IS A HISTORIAN.. TEE HEEEEE..

      READ BOTH PARTS OF THE POST BELOW-

      https://ajitvadakayil.blogspot.com/2020/03/chinese-slavery-capt-ajit-vadakayil.html

      SOMEONE HAS ASKED ME--

      CAPTAIN WHY IS IT THAT THE AMERICAN WHITE MAN KEPT BLACKS AS DOMESTC SERVANTS IN HIS HOME, WHILE HE NEVER KEPT A CHINAMAN?..

      REASON IS THE BLACK MAN IS A DUMBO.. CHINESE ARE INTELLIGENT.. WHICH WHITE MAN WILL KEEP A SERVANT IN HIS HOME WHO IS SMARTER THAN HIM?..

      CHINESE MUST KNOW THAT THE JAPANESE DID HORRENDOUS MEDICAL EXPERIMENTS ON CHINESE -- THE FRUIT WENT TO THE WHITE JEW IN USA..IN EXCHANGE FOR SPARING THE LIFE OF THE JAP EMPEROR..

      http://ajitvadakayil.blogspot.com/2012/10/doctor-death-shiro-ishii-emperor.html

      HAS ANYBODY EVER HEARD OF "KOREAN SLAVE? "...

      CHECK OUT THE IRONY-- TODAY A SOUTH KOREAN IS SCREWING HIS NORTH KOREAN BROTHER USING HIS PAST JAPANESE MASTERS ..

      http://ajitvadakayil.blogspot.com/2017/03/japanese-in-hiroshima-and-nagasaki.html

      INDIANS ( GUJARATI JEWS ) WENT TO AFRICA AS SLAVES ( INDENTURED LABOUR ) .. IN REALITY THESE INDIAN GUJARATI JEWS WERE MERE FRONTS OF ROTHSCHILD TO SUCK THE AFRICAN BLOOD FOR ROTHSCHILD ..

      http://ajitvadakayil.blogspot.com/2010/04/indentured-coolie-slavery-reinvented.html

      PRETTY SOON THE TABLES WERE TURNED .. THE INDIANS ENSLAVED THE AFRICANS.. BECAUSE INDIANS HAD MORE BRAINS..

      CONTINUED TO 2--
      1. CONTINUED FROM 1--

        IDI AMIN WAS NOT AN IDIOT..

        HE KICKED OUT THE BLOOD SUCKING INDIAN GUJARATIS.. TODAY THESE CUNNING GUJARATI JEWS HAVE TAKEN OVER THE ENTIRE MOTEL CHAIN IN USA , JUST TO NAME ONE AMONG HUNDREDS..

        http://ajitvadakayil.blogspot.com/2016/01/idi-amin-patriot-who-did-not-care-to-be.html

        PUNISHMENT FOR INDIAN TRAITORS MUST BE DEATH.. IPC SECTION 121 DEALS WITH FOREIGN FUNDED TREASON..

        BUT THEN WHAT DO WE DO WHEN OUR JUDGES THEMSELVES ARE TRAITORS IN FOREIGN PAYROLL?..

        THIS IS THE TIME WHEN NSA MUST FORM MILITARY COURTS TO HANG THE TRAITORS ON THE STREET LAMP POSTS AFTER A QUICK TRIAL.. WITH LAKHS CHEERING ..

        https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html

        IMAGINE THE ITALIAN WAITRESS BECAME EMPRESS VIA NAC.. BYPASSING THE CONSTITUTION WITH JUDICIARY AND MEDIA SUPPORT..

        https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html

        IMAGINE MODI WANTED TO INTERLINK THE INDIAN RIVERS USING ISRAELI JEWS .. A DESERT NATION WITH NO RIVER..

        http://ajitvadakayil.blogspot.com/2014/05/interlinking-rivers-of-india-capt-ajit.html

        I ASK MY READERS TO COMMENT ON THE ABOVE MATTER..

        capt ajit vadakayil
        ..


    https://twitter.com/LadyVelvet_HFQ/status/1251835506062766080

    WE ASK THIS UPPITY PRINCESS...

    HAVE YOU HEARD OF LAWRENCE OF ARABIA, WHO CONVERTED THE ENTIRE ROYAL BLOODLINE OF THE MIDDLE EAST KINGDOMS TO JEWISH ?..

    HEY PRINCESS, DO YOU KNOW YOUR OWN DNA?

    DO YOU KNOW THAT THE LAST 70% OTTOMAN EMPERORS WERE JEWS..

    DO YOU KNOW THAT ALL MOGHUL EMPERORS IN INDIA AFTER HUMAYUN WERE JEWS..

    DO YOU KNOW THAT ALMOST ALL ISLAMIC KINGDOMS IN 1947 BEFORE INDIA BECAME INDEPENDENT WERE RULED BY JEWS?

    DO YOU KNOW THAT ALMOST ALL INDIAN NATIONAL CONGRESS PARTY MUSLIM MEMBERS IN 1947 WERE JEWS..

    https://www.siasat.com/uae-princess-takes-strong-stand-against-racist-comment-1875200/

    HEY PRINCESS, DO YOU KNOW THAT ALL MIDDLE EAST PEOPLE SURVIVED ON THE CALICUT KINGs LARGESSE AS SPICE MIDDLEMEN FROM ANTIQUITY ?..

    http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html

    DO YOU KNOW THE ORIGINS OF ISLAM?

    http://ajitvadakayil.blogspot.com/2009/07/vedic-practises-in-mecca-ajit-vadakayil.html

    BULLYING AND THREATENING IS IN YOUR BLOOD, RIGHT?

    DO YOU REALLY KNOW WHO JEW GANDHI IS?

    http://ajitvadakayil.blogspot.com/2020/01/the-father-of-our-nation-is-chanakya.html

    capt ajit vadakayil
    ..


    1. https://twitter.com/bharti_ajay/status/1252127196119875585

      MESSAGE FROM CAPT AJIT VADAKAYIL TO AATISH TASEER..

      YOUR PAKISTANI FATHER SALMAAN TASEER WAS A JEW-- HE WAS NOT A MUSLIM...

      SALMAAN TASEERs FATHER MD TASEER WAS A JEW, HIS WHITE SKINNED MOTHER CHRISTOBAL GEORGE WAS A JEWESS.

      MOHAMMAD DEEN TASEER WAS A MAMBER OF ROTHSCHILDs PROGRESSIVE WRITERS MOVEMENT PACKED WITH JEWS HAVING MUSLIM NAMES..

      MD TASEER AND HIS FRIEND JEW ALLAMA IQBAAL WERE SPONSORED BY JEW ROTHSCHILD.. IQBAL NAMED CHRISTOBAL BALQUEES..

      http://ajitvadakayil.blogspot.com/2012/12/sir-muhammed-iqbal-knighted-for.html

      JEWESS CHRISTOBEL'S SISTER ALYS FAIZ MARRIED JEW FAIZ AHMAD FAIZ..

      THE FASTER YOU KNOW THIS THE BETTER..

      PM OF PAKISTAN IMRAN KHAN ( CRICKTEER ) IS A PASHTUN JEW..

      MALALA YOUSAFZAI IS A JEWESS.

      TASEER BABY, IN WHAT WAY DO YOU QUALIFY TO BE A ISLAMIC HERO?..

      LIKE OMAR AABDULLAH ? WHOSE MOTHER IS JEWESS MOLLY AND GRANDMOTHER JEWESS AKBAR JEHAN (DAUGHTER OF FRENCH JEW MICHAEL HARRY NADOU / EX-WIFE OF JEW LAWRENCE OF ARABIA ?

      SUGGEST YOU TELL SALMA MAHMUD AND RYAN DAVIS..

      capt ajit vadakayil
      ..


    1. https://twitter.com/mvmeet/status/1255229853017821185

      TRAITORS IN FOREIGN PAYROLL FLOURISH IN INDIA..

      SABKAA VISHWAAASSS.

      ALL IT TOOK TO TRANSFORM NEPAL FROM A 100% HINDU NATION TO A ATHEIST COMMIE NATION, WAS FOR THE JEWISH DEEP STATE TO MAKE HINDUS SELF LOATHING..BY RELIGIOUS BLOOD AND GORE..

      CAPT AJIT VADAKAYIL STOPPED THE ANNUAL GADHIMAI MASSACRE..

      http://ajitvadakayil.blogspot.com/2014/11/all-animal-sacrifices-in-hindu-temples.html

      MAOIST JNU STUDENT BABRURAM BHATTARAI BECAME PM OF NEPAL AFTER THE NEPAL ROYAL FAMILY MASSACRE.. HE WAS BRAINWASHED BY COMMIE PROFESSORS FROM USA.. ON THE FOOTPRINTS OF JEW JOHN DEWEY..

      THIS DANGEROUS MAN WAS FOUND OFTEN IN INDIAs RED CORRIDOR.. ILLEGAL COLLEGIUM JUDICIARY AND BENAMI MEDIA WERE IN CAHOOTS..

      capt ajit vadakayil
      ..
    1. https://timesofindia.indiatimes.com/business/india-business/changes-in-fdi-rules-dont-violate-treaties-india-to-china/articleshow/75283196.cms

      MUCH BEFORE JNU WOMAN NIRMALA SITARAMAN BLED BHARATMATA AT WTO NAIROBI, I HAD WARNED MODI..

      MADE A STAMP FOR "PARAMOUNT CLAUSE " ON TOP OF THE COMMERCE MINISTERs SIGNATURE.

      THE PARAMOUNT CLAUSE STAMP PRINTS " NATIONAL SOVEREIGNTY WILL NOT BE SURRENDERED BY SIGNING BELOW"

      YOU CANNOT "SIGN WITHOUT PREJUDICE" IN SUCH WTO TREATIES.. WHICH MEANS BY SIGNING ON THE DOTTED LINE YOU DO NOT SURRENDER ANY OF YOUR PRE-EXISTING RIGHTS..

      EXTREME CHICANERY IS USED BY USING BOMBASTIC AND SLIMY ENGLISH LANGUAGE PROSE.. THEY PLAY CRIPPLING GAMES WITH WORDS LIKE "SHALL " AND "SHOULD"..

      WTO IS NOTHING BUT AN INSTRUMENT OF THE NEW WORLD ORDER RUN BY THE JEWISH DEEP STATE.

      IT CREATING A SUPRANATIONAL KOSHER KANGAROO COURT SYSTEM THAT HAS THE POWER TO ECONOMICALLY SANCTION COUNTRIES TO FORCE THEM TO COMPLY WITH ITS RULINGS.

      WTO SUPPORTS HORMONE AND ANTIBOTICS INJECTED MEAT TRADE . WHEN EU OBJECTED , WTO RULED THAT THIS PUBLIC HEALTH LAW IS A BARRIER TO TRADE AND SHOULD BE ABOLISHED. THE EU HAS TO ROLLBACK ITS BAN OR PAY STIFF PENALTIES.

      WTO SUPPORTS THE BEEF LOBBY.

      INDIA MUST NOT ALLOW NATIONAL SOVEREIGNTY TO BE SACRIFICED AT THE ALTAR OF BILDERBERG CONTROLLED WTO ARBITRATION COURTS WHO PUSH “WIDER GOOD” .

      WE KNOW THAT WIDER GOOD IS ONLY TO BENEFIT THE ZIONIST JEWS. . .

      WE DON’T WANT EU TYPE BULLSHIT COMMUNIST TEAMWORK FULL OF “CHICANERY” , “ULTERIOR MOTIVES” , “ UN PROPAGANDA OF WE MUST WORK FOR COMMON GOOD NONSENSE “ AFFECTING THE REST OF THE PLANET , WHO JUST CANT UNDERSTAND WHAT IS GOING ON . . .

      WTO, ILO, WHO , FAO ,IMF. IBRD ARE ALL CONTROLLED BY JEW R0THSHILD, WHO RULED INDIA BEFORE 1947 . . .

      IN ORDER TO GAIN ACCEPTANCE INTO THE WORLD TRADE ORGANIZATION (WTO), NATIONS ARE REQUIRED TO MEET CERTAIN KOSHER REGULATIONS TO OPEN THEIR MARKETS UP TO FOREIGN EXPORTS. THIS INCLUDES THE ABOLITION OF THINGS LIKE TARIFFS OR ANY OTHER NUMBER OF PRACTICES THAT COULD BE INTERPRETED BY THE WTO AS “BARRIERS TO ZIONIST JEW TRADE.”

      WE IN INDIA WILL NOT TOLERATE IF NOBEL PRIZE KA BHOOKA APCO MODI SURRENDERS TO THE GM LOBBY FOR PERSONAL GLORY . .

      OUR SOIL IS POISONED, OUR BEES HAVE BEEN DECIMATED, OUR GROUNDWATER IS POISONED , EVIL PHARMA IS GETTING RICHER . . . PUNJAB YOUTH HAVE CAPITULATED TO DRUGS .. WE DRINK TOXIC A1 MILK OF WESTERN HUMPLESS COWS ..

      TRADE FACILITATION AGREEMENT (TFA) IS A TRADE PROTOCOL AIMING TO DO AWAY WITH CHECKS AND BALANCE—ACCORDING TO THE RICH COUNTRIES , THE STUMBLING BLOCKS IN DOING INTERNATIONAL TRADE ..

      WTO DOES NOT WANT TO DISCUSS AND ALLAY INDIA'S CONCERN ON FOOD SUBSIDY WHICH IS A LIFELINE FOR LAKHS OF BPL PEOPLE .

      INDIAs MONSOON AND FOOD PRODUCTION IS AFFECTED BY SHALE FRACKING IN USA..

      http://ajitvadakayil.blogspot.com/2019/06/record-heat-wave-europe-2019-root-cause.html

      http://ajitvadakayil.blogspot.com/2019/10/greta-thunberg-puppet-of-jewish-deep.html

      INDIA AT PRESENT IS RUNNING A MASSIVE FOOD PROCUREMENT PROGRAMMES BY PROVIDING MINIMUM SUPPORTING PRICE TO THE FARMERS AND GIVING SUBSIDISED FOOD TO LAKHS OF BPL FAMILIES THROUGH ITS PUBLIC DISTRIBUTION SYSTEM (PDS).

      THE NEW WTO AGREEMENT LIMITS THE VALUE OF FOOD SUBSIDIES AT 10 PERCENT OF THE TOTAL FOOD GRAIN PRODUCTION.

      CONTINUED TO 2—

      1. CONTINUED FROM 1—

        INDIA QUERIES THAT WHEN US IS PROVIDING 120 BILLION AS AGRICULTURE SUBSIDY THEN WHY INDIA CAN'T GIVE EVEN ONE TENTH (USD 12 BILLION) TO THEIR OWN FARMERS, WHO ARE COMMITTING SUICIDE .

        WE DO WE HAVE A GOVT ?

        THE GOVT HAS FEED ITS PEOPLE, RIGHT?— WITHOUT FALLING PREY TO WOLVES LIKE GM FOOD CORPNS LIKE MONSANTO/ CARGILL ?

        OUR FOOD PROGRAMME IS ALMOST FULLY DOMESTIC SO IT DOESN'T DISTORT GLOBAL FOOD TRADE AT ALL .
        NCE THE TFA WILL BE IMPLEMENTED IT WILL BE DIFFICULT TO BARGAIN ON THE FOOD SUBSIDY THING. THE PROBLEM WITH TFA RUNS IN A CLAUSE THAT SAYS FARM SUBSIDIES CANNOT BE MORE THAN 10 PERCENT OF THE VALUE OF AGRICULTURAL PRODUCTION.

        IF THE CAP IS BREACHED, OTHER MEMBERS CAN CHALLENGE IT AND ALSO GO ON TO IMPOSE TRADE SANCTIONS ON THE COUNTRY.

        LIKE HOW NATO INSPECTED IRAQ FOR WMD, A HUGE HIDDEN EVIL IS THAT EVEN FOR PROVIDING SUBSIDISED FOOD, INDIA WILL HAVE TO OPEN UP ITS OWN STOCKPILING TO INTERNATIONAL MONITORING

        http://ajitvadakayil.blogspot.in/2012/05/monsanto-and-farmer-suicides-in-india.html

        WTO ARGUES THAT IF THE DEVELOPING COUNTRIES CONTINUE TO GIVE PRICES TO FARMERS WHICH ARE HIGHER THAN THE MARKET PRICES, IT MIGHT HARM THE POOR FARMERS IN OTHER PARTS OF THE WORLD.

        SO BE IT !!

        INDIA HAS ALREADY PAID A HUGE PRICE FOR ENTERING INTO SUCH KOSHER AGREEMENTS. . AND MODI PLAYS KOSHER BALL, BECAUSE HE WANTS TO BE SEEN AS A WORLD LEADERS ..

        THE JOKE IS JNU WOMAN NIRMALA SITARAMAN CAME BACK TO INDIA AFTER WTO NAIROBI AND STARTED MOANING..

        THIS IS DESPITE CAPT AJIT VADAKAYIL WARNING HER 3 DAYS IN ADVANCE.. SEE POST BELOW --

        TRAITOR JNU PRODUCT NIRMALA BABY , WE DID NOT SEND YOU THERE TO CAPITULATE TO JEWISH DEEP STATE .. YOU HAVE FAILED BHARATAMATA..

        http://ajitvadakayil.blogspot.com/2015/12/thermal-coal-power-plants-clean-exhaust_16.html

        capt ajit vadakayil
        ..


    1. SOMEBODY CALLED ME UP AND CRIED..

      CAPTAIN..

      FOR THE PAST TWO MONTHS I HAVE BEEN TRYING TO FIGURE OUT WHY YOU ARE SO UPSET WITH PM MODI AND NSA CHIEF AJIT DOVAL…

      YOU HAVE WRITTEN THAT BOTH OF THEM ARE UNFIT TO SIT ON THEIR CHAIRS…

      AND ONLY TODAY, YOU GAVE A WEE HINT…

      YOU WROTE THAT AFTER SIX YEARS OF MODIs RULE, IN JNU THE NAXAL STUDENTS UNION WING -- STILL WINS THE STUDENTS ELECTIONS..

      HOW DEEP IS THIS ROT?..

      LISTEN..

      AFTER THE NEPAL ROYAL FAMILY MASSACRE JNU STUDENT BABURAM BHATTARAI BECAME PM OF NEPAL.. HE WAS A HARDCORE COMMIE AND FOUND IN THE RED CORRIDOR REGULARLY , HE PASSED WITHOUT MUCH CLASS ATTENDANCE..

      AFTER GADDAFI WAS KILLED ON THE STREETS OF LIBYA JNU STUDENT ALI ZEIDAN BECAME PM OF LIBYA.. HE WAS A COMMIE ISLAMIST .. AS YOU KNOW ISLAM AND COMMUNISM DONT MIX.. HE WAS FOUND IN KASHMIR REGULARLY , AND HE PASSED WITHOUT MUCH ATTENDANCE..

      INDIA IS STILL CONTROLLED BY THE JEWISH DEEP STATE..

      IN SIX YEARS OF MODI/ AJIT DOVAL RULE, THE CONTROL OF THE DEEP STATE OVER INDIA HAS ONLY INCREASED..

      I WROTE A 11 PART POST ON JNU..

      http://ajitvadakayil.blogspot.com/2016/02/jnu-den-of-anti-nationals-and-communist.html

      THE SOCIAL SCIENCES DEPT OF JNU BREEDS TRAITOR NAXALS AND THE ARABIC/ URDU/ PERSIAN LANGUAGE SECTION OF JNU BREEDS ISLAMIC TERRORISTS.. THEY GET FOREIGN JUDAS SILVER ..

      EVERY TIME WE TRY TO IMPOSE COMPULSORY ATTENDANCE RULE IN JNU ( LIKE PRIVATE COLLEGES ), OR STOP EXTREME STUDENTS UNION ACTIVITIES IN JNU , JEW NOAM CHOMSKY COMES BOUNDING IN..

      https://economictimes.indiatimes.com/news/politics-and-nation/why-did-you-allow-police-on-campus-noam-chomsky-to-jnu-vc-jagadesh-kumar/articleshow/51078636.cms?from=mdr

      STUDENTS UNION POLITICS IN JNU IS INTENSELY MICRO MANAGED BY WHITE JEWSIH COMMIE PROFESSORS FROM ROTHSCHILDs OPIUM FOUNDED US UNIVERSITIES COLUMBIA / BERKELEY UNIVERSITIES ( SEVERAL OTHER IN EUROPE )..

      THEY NOURISH EXTREME LEFT JNU STUDENTS UNIONS.. ..

      PROFESSORS IN LANGUAGE AND SOCIAL SCIENCES DEPTS ARE CHOSEN BY A COLLEGIUM SYSTEM..

      THE THUMB RULE IS THESE PROFESSORS MUST HAVE NO LOVE FOR THE WATAN.. AND IF THEY ARE CHILDLESS HOMOSEXUALS THEY ARE BETTER QUALIFIED..

      CHECK OUT THE VEHEMENCE OF THIS CHILDLESS COMMIE FEMALE PROFESSOR IN THE YOUTUBE VIDEO BELOW..

      https://www.youtube.com/watch?v=4ZFCMTSbsRo

      STUDENTS WHO ARE HARDCORE, WHO HATE BHARATMATA, GET EXAM QUESTIONS BEFORE THE EXAMS.. THEIR PROJECTS ARE PASSED WITHOUT VERIFICATION.. PROFESSORS HELP THEM.

      THESE COMMIE / ISLAMIC STUDENTS CAN RELAX AT HOME – SAY—IN KASHMIR OR BIHAR , WITHOUT ATTENDANCE.. THESE STUDENTS GET GOOD MONEY FROM THEIR SPONSOR COMMIE PROFESSORS IN HARD CASH..

      IF YOU LOVE YOUR MOTHERLAND , AND YOU ARE SEEN AS A PATRIOT, YOU WILL BE SUPPRESSED..

      MANY STUDENTS KNOW THIS..

      AND SO THEY PLAY ALONG TILL THEY GET A GOOD JOB AND LAWYER/ JUDGE/ JOURNALIST / BABU IN SENSITIVE MINISTRIES ETC.. BUT THESE STUDENTS ARE AFRIAD TO BLOW THE WHISTLE.. THIS IS LIKE DRUG BUSINESS , YOU WILL GET KILLED..

      http://ajitvadakayil.blogspot.com/2016/11/protect-whistle-blowers-if-india-must.html

      EVEN THE IAS SELECTION BOARD IS COMPROMISED.. THIS COMMIE INTERVIEW BOARD ALREADY KNOW WHO HAS TO BE PASSED IN ORALS OR FAILED..

      I ASK-- IN WHAT WAY DOES COMMIES SAGARIKA GHOSE, AATISHA MARLENE , GIRISH KARNAD ETC DESERVE TO BE RHODES SCHOLARS ?..

      MARLENE IS MARX + LENIN..

      SAGARIKA GHOSEs FATHER WAS DOORDARSHAN TOP GUN BHASKAR GHOSE, A COMMIE .. HE DECIDED NEWS.. RAJIV GANDHI KICKED HIM OUT THE HOUR HE KNEW THAT BHASKAR IS A ROTHSCHILD AGENT..

      SOME OF THE PROFESSORS ARE HONEY TRAPPED BY STUDENTS WITH HIDDEN CAM SUPPLIED BY WHITE JEWS.. THIS INCLUDES WOMEN UGLY FEMALE PROFESSORS..

      NOW IITs WHICH WERE CONCEIVED AS PURE TECHNICAL UNIVERSITIES HAVE SOCIAL SCIENCES DEPTS.. DALITS STUDENTS ARE ENCOURAGED TO REVOLT..


      CONTINUED TO 2--
      1. CONTINUED FROM 1--

        I ASK, WHY DO WE NEED TO TEACH COMMIE PHILOSOPHY IN JNU AND BRENNAN COLLEGE KANNUR WITH A SUCH A VAST LIBRARY?

        JEW KARL MARX IS TOUTED AS THIS PLANETs GREATEST THINKER, WHEN IN REALITY HE IS THIS PLANETs GREATEST IDIOT..

        DAS KAPITAL IS TOUTED AS THE WORLDs GREATEST LITERARY WORK WHEN IT IS IN REALITY THE MOST STUPID BOOK EVER..

        DAS KAPITAL RUNS INTO 3000 PAGES.. I DISMANTLED THIS TEDIOUS / MIND BOGGLING BOOK USING MORE THAN 3000 PAGES..

        ONLY CAPT AJIT VADAKAYIL HAS THE CEREBRAL WHEREWITHAL TO DO THIS ON THIS PLANET..

        READ ALL 9 PARTS OF THE POST BELOW--

        https://ajitvadakayil.blogspot.com/2020/01/communism-failed-because-jew-karl-marx_27.html

        I CAN PUT A 500 ITEM EXAMS FOR TOP TWENTY COMMIE INTELLECTUALS OF THIS PLANET..

        IF THEY SCORE MORE THAN 5% , SITTING IN A GROUP FOR ONE WEEK ( CONSULTING ALL LITERATURE AND GOOGLE SEARCH ) I WILL STOP BLOGGING AND EAT MY OWN HEAD.

        JNU/ DU/ JU/ TISS ARE HOT BEDS OF COMMIE ACTIVITY WERE SOCIAL SCIENCES PROFESSORS ARE IN FOREIGN PAYROLL..

        STAR KID BR AMBEDKAR WAS BRAINWASHED IN COLUMBIA UNIVERSITY BY COMMIE JEW JOHN DEWEY WHO ALSO ROTE MAOs LITTLE RED BOOK..

        http://ajitvadakayil.blogspot.com/2015/10/the-only-dalit-freemason-of-india-capt.html

        I DONT GET FAZED BY THE PLANETs GREATEST GENIUS -- TED KACZYNSKI.. SEE HOW I TORE HIS JEWISH COMMIE ASS ASUNDER..

        READ ALL 6 PARTS OF THE POST BELOW--

        https://ajitvadakayil.blogspot.com/2019/12/theodore-kaczynski-unabomber-is-also_29.html

        SOMETIMES I WONDER, ARE THERE NO INTELLIGENT MEN ON THIS PLANET.. SOMEONE WITH THE BRAINS TO HOLLER " SEE, THERE IS AN ELEPHANT IN THIS ROOM? OR " THE EMPEROR AINT WEARING CLOTHES"..

        WHY DO YOU THINK I STARTED THIS BLOGSITE

        WHY DO YOU THINK I AM THIS PLANETs NO 1 WRITER WITH A GOOGLE PROFILE VIEW OF 1023 MILLION..

        https://www.blogger.com/profile/14410812789424637654

        GREASE AND TACKLE MINDSET , 75 YEAR OLD AJIT DOVAL HAS FAILED IN HIS JOB..

        MODI IS DANCING TO THE TUNE OF HIS JEWISH MASTERS.. HE JUST WANTS NOBEL PRIZE..

        BHARATMATA BLEEDS.. HER OLD UNHEALED WOUNDS OOZE WITH PUS..

        I AM JUST TELLING 2 % ..

        I WATCH.

        I KNOW..

        capt ajit vadakayil
        ..






















    1. MY WIFE TELLS ME

      IF YOU SING THIS SONG LOUDLY INSIDE THE HOME , IT MEANS- YOU ARE IN HIGH SPIRITS.

      https://www.youtube.com/watch?v=TLcs34B0IK0

      THIS IS A MAPPILA SONG..
      BEFORE ISLAM WAS BORN MAPPILAs WERE HINDUS..

      THEY WERE OVERLAND CAMEL SPICE TRADE CARAVAN PARTY IN THE MIDDLE EAST DESERTS.. OFF SPRINGS OF ARAB HINDU FATHER AND KERALA HINDU MOTHER.. THESE MAPPILA ARABS REJECTED CHRISTIANITY.. BUT MANY WERE JEWS..

      PROPHET MOHAMMADs FIRST WIFE KHADEEJAH WAS A RICH MAPPILA -- SHE WAS A SPICE TRADE CAMEL CARAVAN OWNER , A WIDOW..
      1. ADAM D ANGELOs LACKEY, PEA BRAINED RAZIMAN TV ( SON OF RAZIYAH AND DR SULAIMAN ) WRITES THAT HE IS A KERALA MUSLIM MAPPILA..

        BASHEER IS A MUSLIM MAPPILA

        http://ajitvadakayil.blogspot.com/2011/11/vaikom-muhammad-basheer-sultan-of-story.html



    THIS POST IS NOW CONTINUED TO PART 5, BELOW

    https://ajitvadakayil.blogspot.com/2020/04/database-of-anti-watan-anti-hindu_29.html










    CAPT AJIT VADAKAYIL
    ..
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