15/n For example, age. Older people die more from COVID-19, so places with more old people might see higher death rates that have nothing to do with ivermectin
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26/n Anyway, at a basic level there's absolutely no way to estimate from the data how many people were actually taking ivermectin in any of these places, so this analysis cannot possibly show that ivermectin is effective or ineffective
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This is the ivermectin play. The introduction happens on the downward side of the curve after containment measures introduced and then it's heralded as the reason. India is the perfect example.https://m.timesofindia.com/india/how-the-covid-containment-strategy-averted-a-crisis-in-up/amp_articleshow/84373619.cms …
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I really do admire your diligence and thoroughness. The incessant special pleading is fatiguing. I just don’t have the stamina (let alone the skills!)
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Don't those graphs show July as the peak, or, July->August as a break in trend? If program started in late July and August, isn't that what you'd expect if successful? Down from peak or (clear) break in trend?
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Nope - the program *started* at that point, but the first step was rapid testing, then giving out packages. People would only have received ivermectin at the earliest at the start of August, but in most cases towards the end
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