Causality

Causality refers to the relationship between an event (the cause) and a second event (the effect), where the second event is a direct consequence of the first.

—Random House Unabridged Dictionary

Blog posts

• Fake Causality
• Timeless Causality and Timeless Control (from The Quantum Physics Sequence)
• Causality and Moral Responsibility
• Causality: A chapter by chapter review

External links

• Philip Dawid's explication of Pearl's model, and two ways of thinking about nonrandom sampling by Philip Dawid and Andrew Gelman - Causal inference as "the task of using data collected under one regime to infer about the properties of another".
• Resolving disputes between J. Pearl and D. Rubin on causal inference and More on Pearl's and Rubin's frameworks for causal inference by Andrew Gelman
• If correlation doesn't imply causation, then what does? by Michael Nielsen
• Correlation is Evidence of Causation by Kim Øyhus

See also

• Free will
• Teleology
• Beliefs require observations

References

• Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press. http://bayes.cs.ucla.edu/BOOK-2K/.