A possible subtoot but a serious inquiry: can someone recommend a good semi-technical intro to causal modeling/causal stats that doesn’t involve a chapter’s worth of commentary on speculative history and how “humans have always wondered, why?”
(By semi-technical, I mean technical but not entirely about theorem proving)
@frankramsey @kinozhao I haven't looked at it, but I wonder whether Pearl and Mackenzies' The Book of Why might be what you want. Some of Pearl's earlier publications are quite dense, but this appears to be pitched at a broad audience.
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@kinozhao Statistical Rethinking chapter 5 and 6 might be good for u. No theorem proving. Just well explained examples and a few principles for solving confounding problems graphically.