Nate Silver predicts the Oscars

Nate Silver, who used polling statistics to predict a clear Obama win in the Presidential election in November, turns his analytical tools loose on the Oscars.

For example, is someone more likely to win Best Actress if her film has also been nominated for Best Picture? (Yes!) But the greatest predictor (80 percent of what you need to know) is other awards earned that year, particularly from peers (the Directors Guild Awards, for instance, reliably foretells Best Picture). Genre matters a lot (the Academy has an aversion to comedy); MPAA and release date don’t at all. A film’s average user rating on IMDb (the Internet Movie Database) is sometimes a predictor of success; box grosses rarely are.

Silver’s “Gamble-Tron 2000 Lock of the Oscars” is that Danny Boyle wins Best Director for Slumdog Millionaire with a whopping 99.7% certainty. I suspect that the Oscars will prove more difficult to predict than the election and that Silver will be wrong in at least two categories. I will report back on Oscar night. (via fimoculous)

• movies
• Nate Silver
• Oscars
• statistics