I think the problem here is that most people who do epidemiological research - including many who might call themselves 'epidemiologists' - have not actually had any epidemiology training. I wish it was a protected title. With an exam that would require proving you understand residual confounding!

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Related: My favourite thing to point out to folks doing DAGs - every arrow is an assumption, but every ‘not an arrow’ is also an assumption.

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Or, you could do it more flexibly 😉 onlinelibrary.wiley.com/doi/10.1002/...

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The truth is that what leads you astray is not the model, it's staring at tables of model coefficients to figure out what your research question was.

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Credit goes to the arXiv technical staff and all of the contributors who provided the funds to hire them. I played no role at all.

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