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laurabronner's profile
Laura Bronner
Laura Bronner
Laura Bronner
@laurabronner

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Laura Bronner

@laurabronner

Quantitative Editor, @FiveThirtyEight | PhD, @LSEGovernment | 🇦🇹 in 🇺🇸, via 🇬🇧 | she/her

New York, NY
laurabronner.com
Joined August 2015

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    1. Laura Bronner‏ @laurabronner 27 Sep 2019

      I *was* going to write an article about herding in Austrian polls this week... but things got weirdly busy, so here's a thread instead. Austria's having an election this Sunday, and the polls have been incredibly stable. So stable, in fact, that there's good evidence of herding. https://twitter.com/laurabronner/status/1177284463396556803 …pic.twitter.com/6TKKFzUMvM

      4 replies 32 retweets 98 likes
      Show this thread
      Laura Bronner‏ @laurabronner 27 Sep 2019

      To check for herding, I took the 18 polls released since Aug. 1, and simulated the standard deviation you'd expect based on the polling average and sample sizes. I compared that to the actual standard deviation of the polls, which turned out to be *a lot* smaller.pic.twitter.com/c7rNfp8bon

      8:49 AM - 27 Sep 2019
      • 1 Retweet
      • 13 Likes
      • Austen andrea bronner Maxim S. P. Moshnyakov Franz Reichl Noah Purcell Julia Partheymüller Lukas Daniel Klausner Travelling Will Ross Mattheis
      2 replies 1 retweet 13 likes
        1. New conversation
        2. Laura Bronner‏ @laurabronner 27 Sep 2019

          While the above chart shows the ÖVP, this is true for *all* major parties in Austria; in some cases, the actual standard deviation was less than half of what we'd expect.pic.twitter.com/hjcSYSPQhJ

          1 reply 1 retweet 11 likes
          Show this thread
        3. Laura Bronner‏ @laurabronner 27 Sep 2019

          It turns out that at least two major parties showed evidence of herding in *all* of the last six elections, and in some cases almost all parties did.pic.twitter.com/fqUmvB3n7J

          1 reply 4 retweets 9 likes
          Show this thread
        4. Laura Bronner‏ @laurabronner 27 Sep 2019

          The problem with herding is twofold: (1) it reduces the variance of the estimate -- preventing us from getting an accurate measure of the uncertainty in the race -- and (2) it can potentially bias results if pollsters are converging on the wrong number.

          1 reply 1 retweet 12 likes
          Show this thread
        5. Laura Bronner‏ @laurabronner 27 Sep 2019

          But despite evidence of herding, the mean absolute polling error -- the mean difference between the result and the last-4-week polling average, by party -- is quite low. Despite herding, Austrian polls are quite predictive!pic.twitter.com/dHMfhBG08j

          3 replies 1 retweet 8 likes
          Show this thread
        6. Laura Bronner‏ @laurabronner 27 Sep 2019

          What does this mean for Sunday's election? Well, things are probably more uncertain than the polls make them seem. We have good reason to believe that the polls aren't adequately incorporating the uncertainty in the race, leaving room for surprises.

          2 replies 2 retweets 17 likes
          Show this thread
        7. End of conversation
        1. New conversation
        2. Noah Purcell‏ @NoahJPurcell 28 Sep 2019
          Replying to @laurabronner

          What method did you use to simulate standard deviation?

          1 reply 0 retweets 0 likes
        3. Laura Bronner‏ @laurabronner 28 Sep 2019
          Replying to @NoahJPurcell

          I simulated new poll results for all 18 polls by sampling from a normal distribution around the polling average assuming SRS and each poll's sample size, then did that a bunch of times and took the standard deviation each time.

          0 replies 0 retweets 0 likes
        4. End of conversation

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