Why algorithms need humans to predict the weather
Mari Silbey | September 11, 2012
History is rich with intellectuals who have revered theories of determinism; ideas that suggest if we could only know every facet of a situation, every molecule of the landscape, we could predict and even shape future political, economic, and cultural outcomes.
But when it comes to the weather, forecasters long ago gave up any hope of cataloging all of the variables that could impact rainfall in Seattle, or the arrival of a cold front in New York. At least that’s what Nate Silver reports in his new book, The Signal and the Noise: Why So Many Predictions Fail — but Some Don’t, an excerpt of which was adapted for a recent article in The New York Times Magazine.
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