Jonathan Easley reports at The Hill on the “industry-shattering embarrassment” Donald Trump’s victory delivered to the pollsters and election modelers who overwhelmingly predicted everything wrong.
From The Hill:
Trump, the Republican presidential nominee, had long said the polls were biased against him. His claims — dismissed and mocked by the experts — turned out to be true.
“It’s going to put the polling industry out of business,” said CNN anchor Jake Tapper. “It’s going to put the voter projection industry out of business.”
Going into Election Day, a strong majority of pollsters and election modelers forecast that Democrat Hillary Clinton would coast to victory, with many predicting she would sweep the battlegrounds and win north of 300 electoral votes.
The final University of Virginia Center for Politics model had Clinton winning 322 electoral votes to 216 for Trump, with Clinton winning Florida, North Carolina, Pennsylvania and Wisconsin — all states that she lost.
Liberals lashed out at data guru Nate Silver for giving Trump a 35 percent chance of victory heading into Election Day, claiming he was putting his thumb on the scale for Trump by making the race appear closer than it was.
Of the 11 national polls to be released in the final week of the race, only two — a Los Angeles Times/USC survey and one from IBD/TIPP — showed Trump with the lead.
The L.A. Times survey was criticized as “experimental” by industry experts for polling the same pool of people and for the way it weighted black voters.
But for the second consecutive presidential cycle, the L.A. Times and IBD/TIPP surveys were among the most accurate, making them the gold standard going forward.
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