Trump’s Data Team Saw a Different America—and They Were Right

Joshua Green & Sasha Issenberg:

His hyperbole and crassness drew broad condemnation from the media and political elite, who interpreted his anger as an acknowledgment that he was about to lose. But rather than alienate his gathering army, Trump’s antipathy fed their resolve.
He had an unwitting ally. “Hillary Clinton was the perfect foil for Trump’s message,” says Steve Bannon, his campaign chief executive officer. “From her e-mail server, to her lavishly paid speeches to Wall Street bankers, to her FBI problems, she represented everything that middle-class Americans had had enough of.”

Trump’s analysts had detected this upsurge in the electorate even before FBI Director James Comey delivered his Oct. 28 letter to Congress announcing that he was reopening his investigation into Clinton’s e-mails. But the news of the investigation accelerated the shift of a largely hidden rural mass of voters toward Trump.

Inside his campaign, Trump’s analysts became convinced that even their own models didn’t sufficiently account for the strength of these voters. “In the last week before the election, we undertook a big exercise to reweight all of our polling, because we thought that who [pollsters] were sampling from was the wrong idea of who the electorate was going to turn out to be this cycle,” says Matt Oczkowski, the head of product at London firm Cambridge Analytica and team leader on Trump’s campaign. “If he was going to win this election, it was going to be because of a Brexit-style mentality and a different demographic trend than other people were seeing.”

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