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Unfortunately, it's the original paper that will keep getting quoted at me forever.

My favorite line from this paper is: "Correlation is not causality, but it is tempting to confuse them." I think most people believe "correlation is not causality, but most of the time it is", when in reality it is, "correlation is not causality, and almost never is." There was a great analysis of this in a book or paper I read years ago that I haven't been able to find, but the tldr is that if you have a set of events, if causality were truly common, the events would for a seized up network of causality.



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