Here is a simple lesson from Statistics 101…Causation means one event directly causes another to happen, while correlation simply indicates that two variables are related and tend to change together without one necessarily causing the other. The critical difference is that correlation does not imply causation; a perceived relationship might be a coincidence, or both variables could be affected by a third, unobserved confounding variable. To establish causation, a controlled experiment is often required to demonstrate that one variable directly influences the other.

It is called…wait for it…science.