The Only Thing That Can Stop Bad Causal Inference Is Good Causal Inference
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In psychology, causal inference—both the transport from lab estimates to the real world and estimation on the basis of observational data—is often pursued in a casual manner. Underlying assumptions remain unarticulated; potential pitfalls are compiled in post-hoc lists of flaws. The field should move on to coherent frameworks of causal inference and generalizability that have been developed elsewhere.