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I’ve heard Miguel Hernán’s “What If” is also excellent, but not got round to reading it.

Yes it's great!

There is also this great book on causality in ML, but it's a much heavier read:

Chernozhukov, V., Hansen, C., Kallus, N., Spindler, M., & Syrgkanis, V. (2025). Causal Inference with ML and AI.

For a lighter introduction to Hernán’s ideas check out:

"The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data" (https://pmc.ncbi.nlm.nih.gov/articles/PMC5888052/)

"Does water kill? A call for less casual causal inferences" (https://pmc.ncbi.nlm.nih.gov/articles/PMC5207342/)

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