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gorskon's profile
David Gorski, MD, PhD
David Gorski, MD, PhD
David Gorski, MD, PhD
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@gorskon

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David Gorski, MD, PhDVerified account

@gorskon

Surgeon/scientist promoting science in medicine and exposing quackery. Editor of Science-Based Medicine. My opinions do NOT represent those of my employers.

Michigan, USA
sciencebasedmedicine.org
Joined October 2009

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    David Gorski, MD, PhD‏Verified account @gorskon Jul 28

    David Gorski, MD, PhD Retweeted Health Nerd

    It goes beyond that. I keep seeing claims that meta-analysis smooths out out even eliminates bias in the underlying research. People seem oblivious to the concept of “garbage in, garbage out.”https://twitter.com/GidMK/status/1420529664129261569 …

    David Gorski, MD, PhD added,

    Health NerdVerified account @GidMK
    Something that I keep seeing pop up is the idea that meta-analysis somehow eliminates issues with the underlying research This is just confusingly incorrect
    Show this thread
    8:00 PM - 28 Jul 2021
    • 26 Retweets
    • 139 Likes
    • Ivor Mectin Schaberu Craig Wilson Arthur Foxache Alison is Tired of Covidiots Diogenes Kat (she/her) Carolyn Parsons 🇦🇴🇵🇹🇺🇸🏳️‍🌈🖌🐄🔬 Andrew Althouse
    8 replies 26 retweets 139 likes
      1. Kyle Sheldrick‏ @K_Sheldrick Jul 28
        Replying to @gorskon

        if anything meta-analyses continue to abstract away from questionable data. Where summary-data-alone meta-analyses calculate an overall effect size by mixing together individual flawed studies that don't publish data, it gets harder and harder for users to detect issues.

        0 replies 0 retweets 1 like
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      1. Cynthia, That’s All‏ @Ab_Synthia2 Jul 28
        Replying to @gorskon

        Meta-analyses create bigger piles of re-issued garbage.

        0 replies 0 retweets 0 likes
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      1. Noah Paul Le Gies‏ @NoahPaulLeGies Jul 28
        Replying to @gorskon

        What, are they assuming the bias of one will cancel out the bias of another?

        0 replies 0 retweets 0 likes
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      1. Terri Lewis, PhD #GratefulToBeVaccinated in TN-6‏ @tal7291 Jul 28
        Replying to @gorskon

        Completely!

        0 replies 0 retweets 0 likes
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      1. August Pamplona‏ @AugustPamplona Jul 28
        Replying to @gorskon

        I mean, technically, it can. It can also amplify issues in the underlying research. It depends.

        0 replies 0 retweets 0 likes
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      1. Jon Bowen  💉 💉‏ @Jon_Bowen Jul 29
        Replying to @gorskon

        It all comes down to the fact that the conspiracy theorists saw a (bad) meta-analysis that agreed with their position on ivermectin, and now that has become a sacred cow.

        0 replies 0 retweets 3 likes
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      1. New conversation
      2. Ben Wright - with a phlegmish merchant's hat‏ @ChthonicQueex Jul 29
        Replying to @gorskon @Rosewind2007

        I think they fixate on the idea that meta-analysis can smooth out heterogeneous issues with individual studies and forget that bias can be (and usually is) systematic across wide swathes of studies.

        1 reply 1 retweet 2 likes
      3. David Gorski, MD, PhD‏Verified account @gorskon Jul 29
        Replying to @ChthonicQueex @Rosewind2007

        Sure. They seem to think that smoothing out randomness in studies that don't have a high degree of bias is the same thing as eliminating bias. Again, garbage in, garbage out. Meta-analysis can't magically turn a bunch of turds into a gold ingot.

        1 reply 5 retweets 12 likes
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