When two variables are empirically correlated with each other they must?

When two variables are empirically correlated with each other, it indicates that there is a statistical association between them, meaning that changes in one variable are related to changes in the other. However, correlation does not imply causation; the relationship could be due to a direct causal effect, a reverse effect, or a third variable influencing both. Therefore, while correlation suggests a relationship, it does not confirm that one variable causes the other.