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Matthew Yglesias

Matthew Yglesias - Matthew Yglesias is a fellow at the Center for American Progress Action Fund.
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Matthew Yglesias is a fellow at the Center for American Progress. His first book, with the working title Heads in the Sand: Iraq and the Strange Death of Liberal Internationalism, scheduled to be published next spring by John Wiley and co., deals with the Democratic Party's struggle to find a post-9/11 foreign policy, focusing primarily on the rise and (hopefully) fall of the liberal hawk movement.

Previously, he was a staff writer at The American Prospect and an Associate Editor at TPM Media, where he contributed to the group blogs Tapped and TPMCafe. His main blog, now at The Atlantic, has existed in various forms since the dark ages of the blogosphere in January 2002.

His writing has appeared in The Guardian, Slate, The New Republic, and The Washington Monthly, and he is a regular on BloggingHeads.tv and makes the occasional radio or television appearance.

Desperately out of touch with the American mainstream, Yglesias was born and raised in Manhattan and studied philosophy at Harvard where he was editor in chief of The Harvard Independent, a campus alternative weekly.

His latest writings can be found on the Matthew Yglesias blog.

Don't Count Your Models Before They've Hatched

By Matthew Yglesias
Oct 24 2006, 1:44 PM ET Comment

Ezra Klein touts a new statistical model forecasting "an expected Democratic gain of 32 seats with Democratic control (a gain of 18 seats or more) a near certainty." Ezra remarks, "All the usual disclaimers apply, but things would have to go mighty awry for this election to slip through the left's fingers."

Well, let me offer some disclaimers. One is that there are two kinds of models based on historical data. One kind looks at the historical data, devises a model that fits the historical data well, and then offers a prediction based on the model. That's what these guys have done. In another kind of model, you do the same thing and then, having offered your prediction, you wait for the election outcome and it turns out that your prediction was good. Then, next time around, the same thing happens. That is to say that in the second sort of situation your model is not only based on historical data, but has an actual track record of success. I'd be a lot more confident in a model with a track record, since there are actually any number of formulae that might fit the historical data well.

More concretely, I still worry that we might see a new al-Qaeda video aimed at tipping things toward the GOP. I wish more liberals were out there putting this worry and Brad Plumer's argument about it, out there before it happens.

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