Nate Cohn

@Nate_Cohn ↗

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Last Checked Nov. 11, 2022

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Fri Oct 14 15:37:31 +0000 2022

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Nate Cohn @Nate_Cohn

@kwcollins and my argument is that's irrelevant if data consumers notice and interpret the distinction — PolitiTweet.org

Posted Oct. 14, 2022

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Nate Cohn @Nate_Cohn

@kwcollins as long as people interpret D+1 and "tie" differently, or a "no change" v "D+2 shift" differently, the loss of precision is relevant — PolitiTweet.org

Posted Oct. 14, 2022

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Nate Cohn @Nate_Cohn

@kwcollins all of the options are 'false' -- there's 'false' precision or there's an intentional loss of precision due to rounding. the question is which falsehood is more dangerous for the consumer, one that yields misinterpretation or one that risks overconfidence. — PolitiTweet.org

Posted Oct. 14, 2022