Data Science, Instrumental Variables, A B Testing, Causal Inference.
say. “Just adjust for the confounders and leave out colliders and mediators!” Causal inference is hard because, first, we most likely never have data for all the possible confounders. And second, it is often hard to distinguish between colliders, mediators, and confounders. And sometimes causality