Data Science, Statistics, Analytics, Experiment, Causality.
confounder: we know it’s there, but we can’t measure it so we can’t control for it. X is an IV because it satisfies the following criteria: X has a causal effect on Y X affects Z only through Y X and Z do not share confounders So now we think in terms of the causal effect of X on Z. The causal