• 7 Posts
  • 35 Comments
Joined 1 year ago
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Cake day: June 30th, 2023

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  • 98% of the data was discarded

    Liar.

    Those peer reviews are most likely selected and not randomized selections or contestations

    So now they were peer reviewed but by people you don’t trust based on the same evidence you used to assert it wasn’t peer reviewed in the first place I.e. zero.

    Again you have not proven that the new castle Ottawa scale has any efficacy or scientific merit as a disqualifying tool No one has as far as I know.

    You’d better tell the Cohcrane library to bin every systematic review they’ve ever done which used this system then. I’d be eager to hear their reply to you


  • And yet you have no scientific reason other than an ad hominem fallacy with the author with which to dismiss the criticism with.

    If they made a scientific argument about these review papers under discussion I might but this is just a polemic using unscientific language like “cis-supremacy” in a low impact obscure journal.

    That like the Cass report are not scientifically sufficient reasons to disclude the criticism or the data respectively.

    Newcastle-Ottawa scoring is a scientific method for weighting the methodical quality of scientific studies.

    And I can garuntee you that the Cass report was not peer reviewed like all of the studies they dismissed were because it would have been torn apart.

    It was peer reviewed since thats BMJ policy, unless you have evidence to the contrary. There is even a link on the online edition of both reviews for you to submit a rapid response pointing out all their flaws which I would encourage you to do.

    That’s the real litmus test of scientific debate.

    Interestingly some nice fellow DM’d me with a link to “Patient Zero” of the “they dismissed 98% of the data” myth.

    https://twitter.com/benryanwriter/status/1779671152148857212

    And of course, everyone has doubled down rather than admit they read the wrong paper. A better “litmus test” of scientific debate is humbly correcting yourself when shown to be wrong.

    “They dismissed 98% of the data” remains a lie.