Screenshot of The Washington Post election model, showing the voting prediction for Pennsylvania on Nov. 4, 2020. (Image credit: Courtesy of The Washington Post)
Screenshot of The Washington Post election model, showing the voting prediction for Pennsylvania on Nov. 4, 2020. (Image credit: Courtesy of The Washington Post) Stanford statisticians and Washington Post data scientists build more honest prediction models A new statistical model built on Stanford research generates more nuanced predictions for complicated events. The Washington Post ran this model during the 2020 presidential election and plans to use it for future elections. On Nov. 3, 2020 - and for many days after - millions of people kept a wary eye on the presidential election prediction models run by various news outlets. With such high stakes in play, every tick of a tally and twitch of a graph could send shockwaves of overinterpretation.
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