Same income? Same HbA1c? Same access to hospitals? Same index of homelessness? Etc etc etc. As the authors say, you can only control for the factors you measure, and even with comorbidities they only had data on a small number it seems
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You can't explain this 76% improvement with this shaky factors. Plus, the factors can play in both directions. The subsequent improving at national level after rolling out test and treat with ivermectin is another evidence. The CFR improved 5 fold.
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CFR is largely based on testing numbers, so very unreliable. You can often explain even large differences such as 76% with residual confounding what you're saying is incorrect
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The reduction in hospitalizations happened in every single age group, in every single week, in every single comorbidities group. The difference decreased the last weeks, right after a public announcement about the study. Both groups improved.
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You are missing my point entirely. Without going over what confounding is for the third time today, I'm not sure how else to explain it so that you can understand
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