Causal Inference, Causality, Machine Learning, Validation, Application.
inference is to understand the outcome of alternative courses of action. For example, what would happen if the key identifying assumptions might not be true? Only after making sure of the robustness of an estimate in light of unverified assumptions can the causal estimates be seen to be valid and