Nate Cohn

@Nate_Cohn ↗

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Last Checked March 8, 2021

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Sat Jul 18 21:00:19 +0000 2020

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Nate Cohn @Nate_Cohn

@gelliottmorris @NateSilver538 @DanRosenheck @collprof @Michael_Cobb68 i think it's defensible to add a polarization term--it could have improved an '18 house model, for instance--tho it comes with risks. if your version yields *99%* on a 9 point lead in july--based on variance in, what, 5 polarized elections--then you may be going too far — PolitiTweet.org

Posted July 18, 2020 Hibernated

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Nate Cohn @Nate_Cohn

@gelliottmorris @NateSilver538 @DanRosenheck @collprof @Michael_Cobb68 yes, all elections have equal weight, but less polarized elections will have less weight in determining variance for 2020, just as, to take an example, 'black' respondents do not effect the mean for 'white' if you control for race in a linear model, despite equal weight — PolitiTweet.org

Posted July 18, 2020 Hibernated

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Nate Cohn @Nate_Cohn

@gelliottmorris @NateSilver538 @DanRosenheck @collprof @Michael_Cobb68 yes, i certainly believe it worked well: there wasn't much variance in the last five elections; therefore, a model supposing little variance and no tail risks would do just fine and, yes, better than one that allows for such risks. but does that mean those risks don't exist? no — PolitiTweet.org

Posted July 18, 2020 Hibernated