Pearl’s Causality

Pearl’s Causality provides a framework for understanding how one thing causes another by distinguishing between correlation (things happening together) and true cause-and-effect. It uses a formal language to represent and analyze how changing one variable impacts another, allowing us to determine if a change truly causes a result. This approach helps to clarify questions like “Did X cause Y?” by applying models and data to separate cause from mere association, enabling clearer, more reliable conclusions in fields like medicine, policy, and science. Essentially, it formalizes the way we think about causation in a precise, logical manner.