Causality

Causality is the intuitive notion that some events happening "result" in other events happening. What's going on with that? What does it mean for A to cause B? How do we figure out the causal relationship between things?

When formalized, causal relationships are usually formalized as a directed acyclic graph from parent events to child events saying how to compute the probable child given the state of its parents.

Local introductions

• Causal Diagrams and Causal Models
• Causality: A Brief Introduction

External introductions

• The Book of Why [Amazon]
• An Introduction to Causal Inference

See also

• Free will
• Teleology
• Beliefs require observations

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
• Judea Pearls's works: Causality: Models, Reasoning, and Inference, Book of Why, A Primer on Causality