Data Science, Analytics, Causal Inference, Towards Data Science.
concepts like causation vs correlation, confounding, selection bias, causal diagrams, reverse causality etc. While this knowledge is interesting and valuable, there’s a LOT of it. Is there a basic idea within that, to paraphrase Charlie Munger, “carries most of the freight” — something that we can