# antecedent-validate
Effect refuters and validation diagnostics: placebo treatment, random common
cause, dummy outcome, bootstrap and data-subset refuters, unobserved-common-cause
and E-value sensitivity (linear through nonparametric, including Riesz-based
checks for the binary ATE), overlap diagnostics and rules, discovery stability
validators, Bayesian predictive checks, and composable refutation suites.
Refuters report applicability explicitly; a validator that does not apply to an
estimator returns NotApplicable rather than a vacuous pass.