Data Science, Instrumental Variables, A B Testing, Causal Inference.
distinction is relevant whenever we think treatment effects are not homogenous, like we see above. In practice, it is always safe to assume that the treatment effect is heterogeneous and therefore IV estimates, even when they are internally valid, are not perfect substitutes for experiments. But