Causal Inference with Limited Data

Causal fairness conclusions almost always rest on observational data and incomplete causal knowledge; they are trustworthy only when each method's identifying assumptions are stated, several methods are compared, sensitivity to unmeasured confounding is quantified, and uncertainty is reported as bounds.