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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. Kyle Sheldrick‏ @K_Sheldrick Aug 27
      Replying to @EduEngineer @GidMK

      OK, are we doing this? Let's do this. Let's go through the first set. The prophylaxis studies. Viral positivity is the least important outcome so presumably the five here should not report any symptom, hospitalisation or mortality outcomes, will there be an error in these 5?pic.twitter.com/0TxoZ7hS7H

      3 replies 5 retweets 19 likes
    2. Kyle Sheldrick‏ @K_Sheldrick Aug 27
      Replying to @K_Sheldrick @EduEngineer @GidMK

      I reckon we can review these 5 in 5 minutes, let's see.

      1 reply 0 retweets 5 likes
    3. Kyle Sheldrick‏ @K_Sheldrick Aug 27
      Replying to @K_Sheldrick @EduEngineer @GidMK

      The very first study is by Prof Babalola from Lagos. It reports change in cough and dyspnea, by the authors' claimed rules this should have been extracted instead. In both cases the control did better. This error favoured ivermectin.pic.twitter.com/nKiXWm77iO

      1 reply 0 retweets 10 likes
    4. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @K_Sheldrick @GidMK

      Okay, I think we disagree on what the criteria says.

      2 replies 0 retweets 1 like
    5. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @EduEngineer @K_Sheldrick @GidMK

      I believe that what the author intends is that death > hospitalization > etc. It sounds like you want to throw symptom vs. symptom into that classification? If so, that's an argument for computing a p-value by a different definition of the criteria, not the the author...

      2 replies 0 retweets 3 likes
    6. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @EduEngineer @K_Sheldrick @GidMK

      ...not that the author was not true to their intended interpretation of the criteria. So, go ahead and compute the new p-value. It's still extremely small, right?

      1 reply 0 retweets 1 like
    7. Rounding the Earth‏ @EduEngineer Aug 27
      Replying to @EduEngineer @K_Sheldrick @GidMK

      So, we have a bunch of different p-values using different algorithms, and they're all tiny. What does that tell us?

      1 reply 0 retweets 1 like
    8. Jojo‏ @jojohill1974 Aug 27
      Replying to @EduEngineer @K_Sheldrick @GidMK

      That infact, no - the science is not 'set' on this matter, and all information can be used to 'prove' some point?

      1 reply 0 retweets 0 likes
    9. Rounding the Earth‏ @EduEngineer Aug 28
      Replying to @jojohill1974 @K_Sheldrick @GidMK

      In general, given an infinitely large set of p-values that are all correct to some interpretation, I'd generally want to use critical thinking to narrow to a group of them until they were consistent enough to convince me.

      2 replies 0 retweets 2 likes
    10. Rounding the Earth‏ @EduEngineer Aug 28
      Replying to @EduEngineer @jojohill1974 and

      In this case, they're all already grouped at "extremely statistically significant", so I don't have to go any further unless we find out that dozens of them were entirely flawed in a way that cannot result in any recomputation, or so many flip in result upon re-analysis.

      2 replies 0 retweets 2 likes
      Health Nerd‏Verified account @GidMK Aug 28
      Replying to @EduEngineer @jojohill1974 @K_Sheldrick

      Eh? Most of the included studies had statistically insignificant primary results, the only reason that they appear to be significant on this webpage is that the authors simply cherry-pick whichever result suits the narrative

      12:05 AM - 28 Aug 2021
      • 2 Likes
      • Cristian Doñas C. Josh 🐔
      1 reply 0 retweets 2 likes

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