Live public record · September 12, 2026
Counting, Factually
An open, living book on causal inference and the logic of quantitative evidence, with a browser data lab and provenance-tracked teaching datasets.
- Status
- Live public record
- Topics
- causal inference · econometrics · research design · open education · interactive learning · open data
- Boundary
- The linked artifact documents the current public release. Research findings require their own paper or dataset record.
Counting, Factually: Causal Inference and the Logic of Quantitative Evidence is a book built for teaching and self-study. It starts with the causal question, follows the assignment and observation processes, and lets readers inspect the data instead of admiring the answer. Chapters combine institutional detail, mathematical derivation, worked problems, and browser-based analysis only where each form sharpens the inference.
The public data lab exposes the classic teaching datasets the chapters use, each with a byte-level trail from the official R source archive through the exact dataset member to the normalized JSON and CSV, with licence notices and the causal interpretation boundary visible beside the rows. The hub mirrors that catalogue as the Counterfactuals teaching data lab dataset record.
Read the book, open the data lab, or inspect the mirrored catalogue. The book was titled Counterfactuals: Causal Inference from First Principles before September 2026.