The Book of Why¶
Pearl, J., & Mackenzie, D. (2018). The Book of Why: The New Science of Cause and Effect. Basic Books.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Causality
- In machine learning deployment, causal models predict behavior under distribution shift and external validity challenges, whereas purely predictive models fail when test conditions diverge from training conditions.
This sourcePopular synthesis presenting the ladder of causation (association, intervention, counterfactual) and arguing that causal models support prediction under distribution shift and external-validity transport where purely predictive models fail.
- In machine learning deployment, causal models predict behavior under distribution shift and external validity challenges, whereas purely predictive models fail when test conditions diverge from training conditions.
- Counterfactuals
- Modern accounts synthesize Pearl's causal models with philosophical insights (Pearl and Mackenzie 2018)
This sourcePopular synthesis introducing the ladder of causation (association → intervention → counterfactuals); presents causal-model reasoning for counterfactuals. Verified support for the modern-synthesis / ladder-of-causation claim.
- Modern accounts synthesize Pearl's causal models with philosophical insights (Pearl and Mackenzie 2018)
Verification¶
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Links previously used in the corpus¶
Before the registry existed this work was also linked 1 other way.
Registry ID ref:6eb3059082a8 · see in the full table