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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 Apr 1

      Given the uncertainty around every component of #COVID19 forecasts, how can *anyone* do any useful modeling at all? The more research we did, the more confused I became. But our conversation with @drake_lab helped.https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/ …

      2 replies 8 retweets 29 likes
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    2. Laura Bronner‏ @laurabronner Apr 1

      Because there are huge ranges around most, if not all, of the parameters in the models, propagating the uncertainty through all of them (i.e. multiplying them all out) would result in a uselessly huge final range of outcomes. So how can we say anything meaningful?

      2 replies 0 retweets 3 likes
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      Laura Bronner‏ @laurabronner Apr 1

      Basically, many of the uncertainties are correlated; not all combinations of parameters are equally plausible or even possible. The thing is, it's hard to estimate those correlations from the data. But it's not just unhelpful to assume they're uncorrelated -- it's also wrong.

      1:03 PM - 1 Apr 2020
      • 3 Likes
      • oscar bronner Sam Lenny Bronner
      1 reply 0 retweets 3 likes
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        2. Laura Bronner‏ @laurabronner Apr 1

          So if you think, like I feared, that the uncertainty means we can't say anything useful at all, that's not true. But this is where domain expertise and experience come in -- that's what helps modelers make informed decisions about how to narrow the range of outcomes.

          1 reply 1 retweet 8 likes
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        3. Laura Bronner‏ @laurabronner Apr 1

          Of course, even experts can disagree! Which explains why different research groups have come up with different forecasts. But that's what makes this topic a particularly iffy one for non-experts to weigh in on, as this excellent @W_R_Chase piece outlines:https://www.williamrchase.com/post/why-i-m-not-making-covid19-visualizations-and-why-you-probably-shouldn-t-either/ …

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        4. End of conversation

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