Or the remdesivir stuff - even a fairly casual read of the literature out there right now shows you that it's not a sure-fire thing and might be harmful And yet
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Another great example - the Santa Clara serology study has numerous holes, but is the go-to piece of evidence for many people who cite it as established fact
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My friend who’s a doctor prescribed himself hydroxychloroquine, said the side effects were awful. Patients like to feel like something is being done & doctors are only too happy to prescribe something, seems that holds true even when the doctor & patient are one in the same.
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Ok but add “average scientist” to that list. Do you know how many times a day I have to explain logistic regression, odds ratio, and risk? Or what these “predictive models” are actually NOT predicting? Spoiler: a lot
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Disagree strongly. Can't infer an average from outliers/floating numerators.
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Fair point, although I'd defend the term as a colloquialism rather than a specific numerical estimate. Perhaps more fair to say that there are clearly very large numbers of very educated people who aren't great at evidence appraisal
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I respectfully disagree. I heard about HCQ back some time ago via rumor. There was no other research out, one way or the other, so I went to considerable trouble to get some. This was before Trump even thought of mentioning it. But I had to hustle to get it, and every...
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pharmacist I talked to, was puzzled by the requests for HCQ abruptly. I have done a lot of thinking about HCQ and my experience with it, since. And I think it's because there are absolutely no viable cures. And, just like me, the doctor's were desperate to try anything.
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Critical appraisal is an undervalued skill, and we have to start teaching critical thinking a lot earlier, rather than expecting people to just pick it up along the way.
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