causal discovery

Causal discovery is a process used to identify relationships where one thing directly influences another. For example, it helps determine whether increasing study time causes better grades, or if another factor is involved. By analyzing data patterns and statistical relationships, scientists can infer which variables have a cause-and-effect connection, rather than just being related by coincidence. This understanding allows us to make informed decisions and predictions about how changes in one area might impact another, improving our ability to understand complex systems in fields like medicine, economics, and social sciences.