— Causal inference · made practical
A modern hub for learning and applying causal thinking — with a textbook, tools, and workflows that keep you honest.
↳ We identify what's actually doing the causal work.
Foundations, identification strategies, and estimation — written for practitioners, not just theorists. From DAGs to do-calculus.
textbook.causalica.com ↗Templates, checklists, and sanity checks you'll reuse. Identification decision trees, DAG builders, sensitivity analysis guides.
Browse tools →End-to-end causal analysis — study design, DAG construction, identification strategy, and estimation for research teams and organizations.
Work with us →Structured curriculum
A guided sequence that takes you from “what is causality” to running your own causal analyses with confidence. No shortcuts, no hand-waving.
Public health
“Did this intervention actually reduce disease burden, or just select for healthier populations?”
Methods: DiD · Propensity score · IV
Economics
“What is the causal effect of this policy, net of everything we can't randomize away?”
Methods: Regression discontinuity · IV · Synthetic control
Organizations
“Was it our product change that moved the metric, or just the season?”
Methods: Causal impact · Synthetic control
Behavioral research
“Does emotion mediate the path from information to sustainable choice?”
Methods: Mediation analysis · SEM · DAGs
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A practitioner's guide to causal inference — from assumptions and graphs through identification and modern estimation methods. Built in public.