Causality is the ntuitive 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?
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”.
Correlation is Evidence of Causation by Kim Øyhus
Judea Pearls’s works: Causality: Models Reasoning, and Inference , Book of Why, A Primer on Causality
Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.