The Causal Inference Theory

Causal inference theory is about understanding whether and how one thing directly causes another to happen. It involves using careful analysis and evidence to determine if a change in one factor leads to a change in another, rather than just being related by coincidence. This approach helps researchers and decision-makers identify true cause-and-effect relationships, which is crucial for making informed choices, whether in medicine, policy, or everyday life. Essentially, it’s a systematic way to distinguish between correlation (things happening together) and causation (one thing actually causing the other).