Temporal relationships are fundamental for establishing causality. They help researchers determine whether an exposure is likely to cause a particular outcome. For example, if an increase in smoking rates is followed by an increase in lung cancer cases, this temporal relationship supports the hypothesis that smoking is a cause of lung cancer. Conversely, if lung cancer cases were to precede smoking, it would be difficult to argue that smoking causes lung cancer.
