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If you're keeping yourself in the bubble and only looking at your own data or only watching the TV that fits your agenda then it gets boring.
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I prefer more to kind of show people different things than tell them 'oh, here's what you should believe' and, over time, you can build up a rapport with your audience.
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People still don't appreciate how ephemeral success is.
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Every day, three times per second, we produce the equivalent of the amount of data that the Library of Congress has in its entire print collection, right? But most of it is like cat videos on YouTube or 13-year-olds exchanging text messages about the next Twilight movie.
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Well, you know, you're not going to have 86 percent of Congress voted out of office.
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I think there's space in the market for a half-dozen kind of polling analysts.
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We're living in a world where Google beats Gallup.
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To the extent that you can find ways where you're making predictions, there's no substitute for testing yourself on real-world situations that you don't know the answer to in advance.
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You get steely nerves playing poker.
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Basically, books were a luxury item before the printing press.
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In baseball you have terrific data and you can be a lot more creative with it.
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If I had a spreadsheet on my computer, it looked like I was busy.
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Race is still the No. 1 determinant in every election.
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People gravitate toward information that implies a happier outlook for them.
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It's a little strange to become a kind of symbol of a whole type of analysis.
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I think a lot of journal articles should really be blogs.
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If you have reason to think that yesterday's forecast went wrong, there is no glory in sticking to it.
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I love South American food, and I haven't really been down there. I really need a vacation.
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A lot of news is just entertainment masquerading as news.
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When human judgment and big data intersect there are some funny things that happen.
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If you aren't taking a representative sample, you won't get a representative snapshot.
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People don't have a good intuitive sense of how to weigh new information in light of what they already know. They tend to overrate it.
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A lot of things can't be modeled very well.
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I actually buy the paper version of The New York Times maybe once or twice a week.