Data Science, Statistics, Analytics, Experiment, Causality.
we set X to x…”). Or, to put it another way, the former deals with prediction while the latter deals with causal inference. The two goals are usually at odds with each other. The do(X=x) operator wants to block all paths with an edge coming into X (“backdoor”) and adjust for confounders, while