Notes and essays on causal inference, decision-making, and research engineering.
A simple checklist for turning vague research questions into answerable causal questions: intervention, outcome, population, time, and counterfactual.
A practical way to think about robustness checks: not a checklist, but a map from threats → diagnostics → sensitivity.
Why most real problems are counterfactual—and what I’m building here: a textbook, practical notes, and research engineering.