Australian Professor uses science to predict US Election winner

Professor Xue Li from the University of Queensland believes that he knows what others are only guessing about. Who is
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Professor Xue Li from the University of Queensland believes that he knows what others are only guessing about. Who is going to win the US election battle between business mogul Donald Trump and Former Secretary of State Hillary Clinton?

A big data expert, Professor Li has collected the data from Twitter and other social media platforms that are publically accessible and entered into a system that took into the seventeen main issues of the election. These issues include guns, education, taxes, abortion, as well as immigration that “wall” that Mr Trump is in favour of.

The results of the data crunching show that Mr Trump is coming in at a 45.81 per cent chance of winning over the 45.76 per cent that Secretary Clinton is sitting at. Professor Le told news.com.au, “Things are getting very tight”. He then added, “This time is very different from previous elections because there are a lot of negative opinions towards both candidates.”

“In the past all the predictions we are looking for positive opinions, but now it’s negative on both sides.”

“There are a lot of very angry Americans … That anger has increased since the news on the FBI re-examining Hillary’s emails.”

While some might be quick to say that this system is just as good as a lucky guess, there are some solid results behind it. Professor Li used this same tool to predict the 2013 Australian Federal Election and the 2015 Queensland Election. In both elections, his system recorded a 95 per cent accuracy.

Professor Li has predicted the winner for the last 30 years and is tipping Mr Trump for taking the top job when the Americans head to the polls next week. However, the Professor also admits that this election is like no other in the history of the United States and all it would take is one issue to make a dramatic shift into Clinton’s corner.

Only time will tell if Professor Li is correct or if that 95 per cent accuracy is about to drop a few points.

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