AI RESEARCH
Minimum Specification Perturbation: Robustness as Distance-to-Falsification in Causal Inference
arXiv CS.LG
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ArXi:2605.01579v1 Announce Type: cross Empirical causal claims depend on many analyst decisions, from selecting covariates to choosing estimators. Existing robustness tools summarize how results vary across these choices, but, to the best of our knowledge, do not answer: \textbf{How many analyst decisions must change to reach a specification, which is a set of choices, whose confidence interval (CI) contains zero?} We