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rickhasen's profile
Rick Hasen
Rick Hasen
Rick Hasen
Verified account
@rickhasen

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Rick HasenVerified account

@rickhasen

Professor of Law and Political Science at UC Irvine; Election Law Blogger. Author #JusticeofContradictions coming March 2018 http://amzn.to/2CoWbzx 

Studio City, California
electionlawblog.org
Joined June 2009

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    Rick Hasen‏Verified account @rickhasen 5 Nov 2016

    Thing about the Nate Silver debate is that, if Clinton wins, how would we know if Nate or other more pro-Clinton models were right?

    1:32 PM - 5 Nov 2016
    • 1 Retweet
    • 15 Likes
    • Cpu Sushilover Jennifer Bueschel ┻━┻ ︵╰(`Д´)╯︵ ┻━┻ William Coburn NANCY LARKIN Sandra Deep
    13 replies 1 retweet 15 likes
      1. New conversation
      2. Nolan McCarty‏ @Nolan_Mc 5 Nov 2016
        Replying to @rickhasen

        Forecaster gets points for the certainty of their correct state forecasts and penalty for over-certainty of incorrect ones

        1 reply 1 retweet 4 likes
      3. 2 more replies
      1. Concerned Citizen‏ @ChadGrosso 5 Nov 2016
        Replying to @rickhasen

        the probability percentage the 538 forecast shows reflects a difference in the margin of victory, right @NateSilver538?

        0 replies 0 retweets 0 likes
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      1. Adam Weyeneth‏ @weyentad 5 Nov 2016
        Replying to @rickhasen

        .@rickhasen by looking at which model has the lowest aggregate measure of error in the various state popular vote estimates

        0 replies 0 retweets 0 likes
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      1. aquart‏ @aquart 5 Nov 2016
        Replying to @rickhasen

        Wait. What?

        0 replies 0 retweets 0 likes
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      1. Mary Wollstonecraft‏ @nayasala 5 Nov 2016
        Replying to @rickhasen

        They don't explain how they incorporate #VoterSupression/ElectionFraud i.e. black box fraud #s in their calculations @BuzzFlash

        0 replies 0 retweets 0 likes
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      1. adub‏ @AlanWindham 5 Nov 2016
        Replying to @rickhasen

        doesn't Nate have one of the more pro-Trump models?

        0 replies 0 retweets 0 likes
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      1. Garrett Wollman‏ @garrett_wollman 5 Nov 2016
        Replying to @rickhasen

        N is too small to make a conclusion over one election cycle. (And I'm not sure how many cycles you need, because correlated.)

        0 replies 0 retweets 0 likes
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      1. Jeff Hauser‏Verified account @jeffhauser 5 Nov 2016
        Replying to @rickhasen

        .@rickhasen The heavy early vote states will tell us whether focusing on EV or polls makes most sense, cf. 538 on NV and NC.

        0 replies 0 retweets 0 likes
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      1. Dan Sheehan‏ @dansheehan 5 Nov 2016
        Replying to @rickhasen

        Look at the final electoral vote estimates at @FiveThirtyEight and the final pop vote estimate. That's the closest you'll get

        0 replies 0 retweets 0 likes
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      1. Scary Shane‏ @Shaneless93 5 Nov 2016
        Replying to @rickhasen

        size of win

        0 replies 0 retweets 0 likes
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      1. Clint of the Laughing Scream‏ @clintw 5 Nov 2016
        Replying to @rickhasen

        margin will be at least somewhat telling

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      1. Will Harrison‏ @willthe13th 5 Nov 2016
        Replying to @rickhasen

        because the @FiveThirtyEight model also gives voting percentages you can measure how closely his model matched election totals

        0 replies 0 retweets 0 likes
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