Ok. So. There appears to be a misunderstanding here between the lay idea of an association, and the more complex way it is used in context in an epidemiological settinghttps://twitter.com/WeDietitians/status/1037561280175857664 …
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While it is true to say that these results are not definitively causal - hence the cautioning statement - it is extremely likely that guidelines improve health This is the opposite of our previous example, which as I identified was almost certainly down other factors
This is the challenge with interpreting epidemiological evidence, that often you have to infer causation from evidence that can never entirely eliminate the possibility that it is a simple correlation
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