Statistical Causal Inference

Statistical causal inference is a method used to determine whether one factor actually causes a change in another, based on data. Instead of just observing that two things are related, it aims to establish a cause-and-effect relationship by carefully analyzing patterns and controlling for other variables. This enables us to answer questions like, “Does a new medication improve health?” with more confidence. It combines statistical tools and study designs to distinguish true causes from mere correlations, helping us make informed decisions in fields like medicine, economics, and social sciences.