What is it that you want to do?
Just looking at correlations and nothing else can lead to funny results.
I'm trying to get at least a vague handle on what I can legitimately infer from what using data that might, and probably does, contain circular causation. I'm looking for statistical tools that might help me do that. Should I try Bayesian causal inference anyway, just to see what I get? Support vector machines? Markov random fields? Does the Spurious Correlations book have ideas on that? (No, it just seems to be an awesome set of correlations. Thanks, BTW.)
(Also notice that these are not just any correlations. These are the strongest correlations that pert...
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