Causality Testing

Causality testing is a method used to determine whether one event or variable directly influences or causes another. For example, it helps to establish if changes in advertising lead to increased sales, rather than just being related by coincidence. Researchers use statistical tools to examine patterns over time, controlling for other factors, to see if one variable consistently precedes and predicts changes in another. This analysis helps distinguish mere correlations from actual cause-and-effect relationships, enabling better decision-making in fields like economics, medicine, and social sciences.