Books

The Book of Why

Not recommended. While there are clearly genius ideas here, the tone and the half of the content get in the way. The book makes the following main points: Statistics as a field has a dogmatic tendency to avoid talking about causation. For any given study, the most important question is what causes what. The author's do-calculus is the best tool we have to study causation. I don't need to be convinced of 2, I don't care at all about 1, and the book convinced me I should understand 3.
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