Causality refers to the relationship between cause and effect, where one event is the direct result of another, while correlation indicates a statistical association between two variables that may or may not imply causation. It is crucial to distinguish between the two, as correlation does not necessarily mean causation, and failing to do so can lead to incorrect conclusions and decisions.