Correlation vs. Causation: Understanding Reverse Causation

This video lesson explains the concept of correlation versus causation in statistics. It uses various examples to demonstrate that just because two variables are correlated, it does not mean that one causes the other. The video also discusses reverse causation, where the assumed cause and effect relationship is actually the opposite. By understanding these concepts, viewers can avoid common misconceptions when interpreting statistical data.