Nate Silver’s Computer Only Works On Politics

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It’s actually kind of nice to know that the guy is fallible. After correctly predicting just about every aspect of the 2008 elections, if statistical superhero Nate Silver had gotten the Oscars right too, he might have been burned as a witch by an angry, frightened populace. But as Kevin mentioned last night, Silver got two of his six predictions wrong: Penelope Cruz beat Taraji P. Henson for Best Supporting Actress, while Sean Penn prevailed over Mickey Rourke. Silver has posted a lengthy bit of navel-gazing over at 538.com, and while he attributes his supercomputer’s error on the Supporting Actress call to the “unusual circumstance” surrounding the shift of Kate Winslett’s Reader role to the lead category, his explanation of the Penn win is a little less, well, technical:

In the Best Actor category, we might also have learned a thing or two last night. Namely, it probably doesn’t help to be a huge jackass (like Mickey Rourke) to all of your peers when those peers are responsible for deciding whether you receive a major, life-altering award.

Darn those jackasses: they’re always screwing up the computer models! Well, we forgive you, Nate, and I don’t think I’m going out on a limb if I say that if you had to get something wrong, we’re glad it was the Oscars and not the election.

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And the truth is, going into the final 4 days of the year we still needed to raise $TK to hit our $350,000 goal and start 2021 on track. It's nerve-wracking, wondering if the big spike we normally see at the end of December is going to be another thing that doesn't go as planned in 2020, or worse, if, now that Donald Trump is set to leave the White House (for longer than a taxpayer-funded golf trip to a property he owns), folks might be pulling back from fighting for the truth and a democracy and think the hard work is done.

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