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GidMK's profile
Health Nerd
Health Nerd
Health Nerd
Verified account
@GidMK

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Health NerdVerified account

@GidMK

Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him

Sydney, New South Wales
theguardian.com/profile/gideon…
Joined November 2015

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    1. Health Nerd‏Verified account @GidMK 14 Oct 2020

      10/n As we pointed out in our systematic review and meta-analysis of COVID-19 IFR, this is an issue because higher-quality studies tend to show a lower seroprevalence and thus a higher IFR https://www.sciencedirect.com/science/article/pii/S1201971220321809 …pic.twitter.com/Jf2TJH3GVP

      3 replies 12 retweets 138 likes
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    2. Health Nerd‏Verified account @GidMK 14 Oct 2020

      11/n (Interestingly, Ioannidis cites our study but gets the numbers wrong, in what is distressingly something of a trend in the paper generally - we actually estimated 0.68% in the published paper which came out recently)pic.twitter.com/63z3Mw61uS

      4 replies 11 retweets 117 likes
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    3. Health Nerd‏Verified account @GidMK 14 Oct 2020

      12/n We can see the issue with non-adherence to PRISMA in the methods section. These are clearly not the search terms used, as entering them into these databases results in 100,000s of resultspic.twitter.com/hElvwBf2rj

      3 replies 1 retweet 87 likes
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    4. Health Nerd‏Verified account @GidMK 14 Oct 2020

      13/n There are also still clear numeric errors remaining from previous versions of the study. For example, this number from a paper looking at people going to hospital in New York should read 44%, and not 47%pic.twitter.com/Q2lUREo20f

      2 replies 3 retweets 77 likes
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    5. Health Nerd‏Verified account @GidMK 14 Oct 2020

      14/n And there are new errors as well. In this study of blood donors in Rhode Island, the authors estimate a seropositivity of 0.6%, while the review paper has 3.9% insteadpic.twitter.com/MvF6e9Psgd

      1 reply 2 retweets 88 likes
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    6. Health Nerd‏Verified account @GidMK 14 Oct 2020

      15/n But by far and away, the biggest error in the text is simply to do with using clearly inappropriate samples to estimate population prevalence This is a fundamental flaw in the paper, and really something of a basic epidemiological mistake

      1 reply 10 retweets 139 likes
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    7. Health Nerd‏Verified account @GidMK 14 Oct 2020

      16/n Some of these studies are just so clearly inappropriate to infer a population estimate that it doesn't really require explaining. Samples of a single business in a city, or inpatient dialysis unitspic.twitter.com/CTWnw0Fbjf

      1 reply 9 retweets 102 likes
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    8. Health Nerd‏Verified account @GidMK 14 Oct 2020

      18/n Then we have blood donors, who again may give an erroneous result. These are people who, DURING A PANDEMIC are happy to go out and about and give blood. It is quite possible that they are MORE likely to have been infected than the general population!pic.twitter.com/0ME5x1br1B

      4 replies 5 retweets 101 likes
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    9. Health Nerd‏Verified account @GidMK 14 Oct 2020

      18.5/n There are also a lot of included studies from places in which there is almost certainly an enormous undercount of deaths For example, India, where the official death counts may represent a substantial underestimatehttps://www.bmj.com/content/370/bmj.m2859 …

      2 replies 11 retweets 91 likes
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    10. Living within & living without 🇨🇦‏ @dmchattie99 18 Oct 2020
      Replying to @GidMK

      But you don't stop to consider that many places are overcounting deaths? Patient dies of something entirely unrelated to COVID but they tested positive so: COVID death. Your conclusions in this area are entirely bogus.

      1 reply 0 retweets 0 likes
      Health Nerd‏Verified account @GidMK 18 Oct 2020
      Replying to @dmchattie99

      This is of course a concern, but it is extremely rarehttps://link.medium.com/JRL0OslzHab 

      9:30 PM - 18 Oct 2020
      • 1 Like
      • NewsMän
      3 replies 0 retweets 1 like
        1. Living within & living without 🇨🇦‏ @dmchattie99 21 Oct 2020
          Replying to @GidMK

          Living within & living without 🇨🇦 Retweeted Prof. Freedom

          https://twitter.com/DaFeid/status/1318167560597213185?s=20 …

          Living within & living without 🇨🇦 added,

          Prof. Freedom @prof_freedom
          This graphic is too crucial to just be trash in the Twitter archive! Do you understand this graph? If no, please unfollow me. If yes, please RT. Expected result: Either approx. 2500 retweets or 0 followers within 2 days. Both are fine with me. https://twitter.com/prof_freedom/status/1308772655475175433 … pic.twitter.com/oTsTWdtRjD
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        1. Living within & living without 🇨🇦‏ @dmchattie99 23 Oct 2020
          Replying to @GidMK

          Living within & living without 🇨🇦 Retweeted

          https://twitter.com/AlexBerenson/status/1319636772276535296 …

          Living within & living without 🇨🇦 added,

          This Tweet is unavailable.
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        1. Greg‏ @WWakeUpTime 24 Oct 2020
          Replying to @GidMK @dmchattie99

          Plus, any data rooted in PCR testing is just unreliable at this point. The whole thing is a minefield. Looks like you've spent a lot of time analysing covid data. Can you spend some time analysing the dangers of lockdowns and restrictions? How else do we assess risk.

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