The Book of Why

Causation requires a model; data alone cannot answer causal questions. The Ladder of Causation is the organizing framework.

Author
Judea Pearl & Dana Mackenzie
Status
Reading
Progress
0/10 ch.
Domains
causal inference · philosophy
1 capture 1 atom 1 artifact

Why this source matters

Causation requires a model; data alone cannot answer causal questions. The Ladder of Causation is the organizing framework.

This page is meant to read like a research note with provenance. The structured links around it show how the source is being transformed into captures, atoms, and public artifacts.

Reading notes

Causation requires a model; data alone cannot answer causal questions. The Ladder of Causation is the organizing framework.

Author: Judea Pearl & Dana Mackenzie

Raw captures

Rough Synthesis · Distilling

Counterfactual questions are what turn causal models into decision tools

Interventions tell us what follows from doing something. Counterfactuals go further by comparing the world that happened with the world that could have happened.

“Paraphrase: causal explanation becomes useful when it can answer not only what happened, but what would have happened otherwise.”

Without counterfactual reasoning, causal models stay descriptive; with it, they become decision support.

Key atoms

concept · The Book of Why

Counterfactual reasoning is what makes causal models useful for explanation and choice

A causal model becomes decision-relevant when it can compare the observed world with plausible alternative worlds.

“Paraphrase: causal understanding reaches its highest utility when it can answer what would have happened otherwise.”

Intervention answers what happens when we act, but counterfactuals answer whether a different action or condition would have changed the outcome.

Published outputs