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October 1, 2012 08:51 pm GMT
"I think a lot of journal articles should really be blogs," says The New York Times' election prediction expert, Nate Silver. "You kind of throw different information at people that way and entrust the reader to come to their own conclusions." Now that Silver has managed to puncture the once pundit-dominated news cycle with statistical prudence, he's on a mission to rekindle our collective faith in statistics by making nuance and uncertainty sexy with his new book, The Signal and the Noise. Silver tells TechCrunch that intelligent prediction is messy, biased, and iterative -- all the characteristics that don't lend themselves to grand pronouncements in 30-second soundbites. Blogs, instead, lend themselves to an honest back-and-forth about the sausage of statistical conclusions, which can, hopefully, create a more respected class of experts and a more informed public.
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/AiRgCIzCmSs/
NYT Election Oracle, Nate Silver, On Why Blogging Is Great For Science
"I think a lot of journal articles should really be blogs," says The New York Times' election prediction expert, Nate Silver. "You kind of throw different information at people that way and entrust the reader to come to their own conclusions." Now that Silver has managed to puncture the once pundit-dominated news cycle with statistical prudence, he's on a mission to rekindle our collective faith in statistics by making nuance and uncertainty sexy with his new book, The Signal and the Noise. Silver tells TechCrunch that intelligent prediction is messy, biased, and iterative -- all the characteristics that don't lend themselves to grand pronouncements in 30-second soundbites. Blogs, instead, lend themselves to an honest back-and-forth about the sausage of statistical conclusions, which can, hopefully, create a more respected class of experts and a more informed public.Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/AiRgCIzCmSs/
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