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2019 belongs to Modi: The man who predicted 2014 win again bets on Modi

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Dr. Gaurav Pradhan, a data scientist and Chief Intelligence Officer at time tunnel consulting plans to bring data revolution in the political sphere in India. He claims to have 25+ years of experience in data analytics and has a large following on Twitter including the Prime Minister of India.

He has made some wonderful and insightful predictions in the past like:

  1. He declared that USA elections are all between Trump and Hillary in December 2015 itself
  2. He exposed Award Wapsi gang in October 2015.
  3. He declared Trump winning in March 2016 itself.
  4. In October 2016, he told Trump to expose Clinton.
  5. He confirmed in July 2016 why he chooses to name Trump as Mr. Clinton.
  6. He declared results of India elections in March 2014 that BJP will get 280 – 285 seats alone and NDA shall get 327 – 332 in his tweets.
  7. In September 2016, he predicted crash of Real Estate in India.

With 2019 Lok Sabha elections around the corner, in an interview with Entrepreneur India Pradhan said that “Those who think BJP has lost its support and that people are unhappy might want to hear this. People who are making those comments are either middle class or short business class who were saving taxes. The tax component was their earning and now they have lost it. Now here comes data science. I am picking data from rural India. How many families have benefited from the cooking gas and electricity? How many have got access to toilets and how many kids are going to school now? When I study this I am getting a figure of fifty crore. Even in forty-fifty crore, being a conservative I divide it by two, it is twenty crore. You know in 2014, the elections were won by a small margin of 1.4 crore and here you have a larger swing. So my calculation says 2019 belongs to Modi.”

Mr Pradhan’s past predictions have shown him to be a fine data analyst however contemplating a win or loss just because of access to toilets and cooking gas would be difficult since surely other governments who lose elections also do such things. Moreover the number of variables that come in play  while deciding election results are too many to pin point win or loss on just two or three variables.

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