 Simpson’s Paradox is not only a surprising mathematical fact; it serves as a lens through which to understand the role of probabilities in data analysis, causal inference, and decision-making. In this article, we have characterized its mathematical properties, given necessary and sufficient conditions for its occurrence, discussed its influence on theories of causality, evaluated competing theories of the nature of the paradox, and surveyed its applications in a range of empirical domains.