causal inference

Enterprise reality: legal, fairness or ops constraints kill the A/B test, but the exec still demands proof of impact. The quasi-experimental toolkit, and the honest caveats, that let you answer anyway.

When treatment leaks between units, a clean A/B lies in both directions. The interference taxonomy, when to reach for switchback vs cluster vs geo designs, and the analysis trap that makes naive standard errors useless.