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Tweeps, what would you recommend as an introduction for learning about methods to get beyond correlation to causal inference? https://twitter.com/maxfried1/status/950109708492316672 …
I wrote an introduction to the causal calculus: "If correlation doesn't imply causation, then what does?" http://www.michaelnielsen.org/ddi/if-correlation-doesnt-imply-causation-then-what-does/ …
I'm really enjoying this. Hope you don't mind if I ask the occasional question... U say "Obviously, it’d make no sense to have loops in the graph" but not obvious to me. We can have feedback loops. How do we show that with acyclic graph?
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