Historically Accurate Model Predicts Trump Will Win In A LANDSLIDE In 2020



This is not the news the media or leftists want to hear! Trump will win the 2020 election in a landslide according to a historically accurate election model.

According to Moody’s Analytics, Trump is headed toward another four years in the White House. And, if the numbers are right, it won’t even be close.

In fact, his Electoral College victory could very well be wider than the 304-227 margin he enjoyed over Democratic rival Hillary Clinton in the 2016 election.

Since 1980, Moody’s has managed to nail the outcome every time but once-they incorrectly predicted Hillary Clinton would win in 2016. “In our post-mortem of the 2016 presidential election model,” the report said, “we determined that unexpected turnout patterns were one of the factors that contributed to the model’s first incorrect election prediction.”

[“Don’t Tempt Me!”: Hillary Clinton Threatens To Enter Presidential Race]

According to a report by Market Watch, the team takes into account how consumers feel about their finances, the performance of the stock market and their job prospects. Essentially, today, they’re feeling pretty good, so that’s great news for the incumbent. “Under the current Moody’s Analytics baseline economic outlook, which does not forecast any recession, the 2020 election looks like Trump’s to lose,” the authors wrote. “Democrats can still win if they are able to turn out the vote at record levels, but, under normal turnout conditions, the president is projected to win.”

Moody’s uses three models to come up with its forecast. In each case, Trump gets at least 289 Electoral College votes.

The “pocketbook” measure, which focuses on how people feel about their money situation, is where Trump shines brightest, grabbing a whopping 351 electoral votes. “If voters were to vote primarily on the basis of their pocketbooks, the president would steamroll the competition,” the report said. – Market Watch

The unemployment model leans heavily in Trump’s favor!


Originally published by Mac Slavo at SHTFplan.

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