Causal Inference, Causality, Machine Learning, Validation, Application.
should not be too sensitive to the refutation. Random replace. In an experiment using random replace, we randomly replace an existing covariate with an irrelevant variable. If the model is well designed, the causal estimates should not be too sensitive to the replacement. Dummy outcome refuter.