I'd disagree. Lots of observational epidemiology makes sense, in my opinion the disconnect is in the communication of those findings and their interpretation
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For example, we recently published a paper identifying a surprising increase in diabetes rates and are about to submit another on the risks of GPs not diagnosing T2DM in practice. Both entirely observational, but I'd say the findings are pretty robust
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if they aren't interpretable, that's more or less what I meant by not making sense
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I never said that they aren't interpretable, just that it takes a bit more context and experience than is usually displayed in tabloids to do so
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