Correlation (or association) is when two different factors react similarly to one another because of a connecting variable, but are not occurring as a result of one another. Causation is when a change in one factor results in a corresponding change in another factor. An example of a positive correlation is ice skating and the avalanches. It would be weird if ice skating was a cause of avalanches. An actual cause of both of those things that link them is the cold weather.
Between correlation and causation, it is much harder to prove that one variable causes something else to happen. Even if one thing causes another, they're still correlated either positively or negatively, so it is much more frequent than causation. There are so many things
Between correlation and causation, it is much harder to prove that one variable causes something else to happen. Even if one thing causes another, they're still correlated either positively or negatively, so it is much more frequent than causation. There are so many things