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katy_milkman's profile
Katherine Milkman
Katherine Milkman
Katherine Milkman
Verified account
@katy_milkman

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Katherine MilkmanVerified account

@katy_milkman

Prof. @Wharton @Penn, behavioral economist, judgment & decision making scholar, Pres. of @SJDM_Tweets, #Choiceology podcast host http://bit.ly/37WDe3D 

Philadelphia, PA
katherinemilkman.com
Joined July 2013

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    Katherine Milkman‏Verified account @katy_milkman Mar 30

    Overconfidence is a pernicious bias, even in experts. It's astounding how few experts' confidence intervals included the correct estimate of #COVID19 infections in the US by 3/29 when forecasting for just two weeks in the future. (of course, non-expert estimates are even worse)pic.twitter.com/pa6oMDp2wV

    9:49 AM - 30 Mar 2020
    • 953 Retweets
    • 2,108 Likes
    • notion.2020 Growing Family Jason Hreha dinza Lauren Dever Abbas Abbasov Wissenschaftliche Fakultät DoNotWantTwitAcc Will Shamim
    137 replies 953 retweets 2,108 likes
      1. New conversation
      2. Chris Auld‏ @Chris_Auld Mar 30
        Replying to @katy_milkman @besttrousers

        Third expert from the top really hedging their bets.

        12 replies 3 retweets 124 likes
      3. Katherine Milkman‏Verified account @katy_milkman Mar 30
        Replying to @Chris_Auld @besttrousers

        Wisely, I'd say!

        3 replies 1 retweet 104 likes
      4. 6 more replies
      1. New conversation
      2. Tom Johnstone  🇦🇺 🇪🇺‏ @itjohnstone Mar 30
        Replying to @katy_milkman

        Pretty shocking, given simple maths. About 1700 cases on the 14th. Doubling every 2-3 days. So between 1700*2^5 and 1700*2^7. Admittedly a wide range, but that’s the nature of exponentials with uncertainty on the doubling rate.

        1 reply 0 retweets 13 likes
      3. Lorenzo Castillo‏ @lorenzocastle Mar 30
        Replying to @itjohnstone @katy_milkman

        It was a function of the number of tests the US was doing at the time and the perceived ability (or lack-thereof) to ramp up. If you’re doing 10K tests a day, pretty impossible to get to 150K cases in 2 weeks unless literally everyone tests positive

        1 reply 0 retweets 31 likes
      4. 5 more replies
      1. New conversation
      2. stuart mcdonald‏ @ActuaryByDay Mar 31
        Replying to @katy_milkman @danmikulskis

        stuart mcdonald Retweeted stuart mcdonald

        It’s not just overconfidence, it’s also a failure to understands exponential growth. Another way to put that is they asked the wrong type of expert. I encountered deeply skeptical responses when did this forecast (shown to be correct) for the UK.https://twitter.com/actuarybyday/status/1241443148125085697?s=21 …

        stuart mcdonald added,

        stuart mcdonald @ActuaryByDay
        Ten days ago on 11 March, with 456 confirmed UK cases, I made the prediction below (linked tweet). As at 9am today there were 5,018 confirmed positive tests in the UK. For those that care about the detail, my modelled forecast was 5,049 cases. The forecast was 99.4% accurate. https://twitter.com/ActuaryByDay/status/1237772832152616964 … pic.twitter.com/C8PXRAnoqP
        Show this thread
        8 replies 8 retweets 43 likes
      3. Richard H. Ebright‏ @R_H_Ebright Mar 31
        Replying to @ActuaryByDay @katy_milkman @danmikulskis

        They surveyed only functionally innumerate "experts" (presumably the same empty suits in think tanks and schools of public health who opposed every action to suppress outbreak, including border restrictions, cordons sanitaires, lockdowns, quarantines, school closings and masks.)

        0 replies 1 retweet 3 likes
      4. End of conversation
      1. New conversation
      2. John Macke‏ @JohnPMacke Mar 30
        Replying to @katy_milkman

        Good example for elucidating both varieties of overconfidence: (1) Overoptimism: On average beliefs were that we'd have far fewer cases than we do (though this could have been pessimism about testing). (2) Overprecision: Prediction intervals seem excessively narrow.

        1 reply 4 retweets 51 likes
      3. Belli‏ @bellisaurius Mar 31
        Replying to @JohnPMacke @katy_milkman

        So much #2. It's an exponential function. That's going to be crazy hair triggered. Should be estimating within orders of magnitude.

        0 replies 0 retweets 9 likes
      4. End of conversation
      1. New conversation
      2. anna wiederkehr‏ @wiederkehra Mar 31
        Replying to @katy_milkman

        Hey @katy_milkman you seemed to have missed our follow up (and we'll do another this week) that shows a different picture in case estimates from the surveyed experts. It takes time to understand what's happening. https://fivethirtyeight.com/features/experts-say-the-coronavirus-outlook-has-worsened-but-the-trajectory-is-still-unclear/ …pic.twitter.com/UDWIS0mLJ1

        6 replies 8 retweets 38 likes
      3. 1 more reply

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