Combined data can hide or reverse trends

Simpson's paradox reveals a surprising statistical trick: a clear trend in separate data groups can vanish or even flip when those groups are combined. This happens because of differences in group sizes or hidden factors. For example, a 1973 Berkeley study showed overall bias against women in admissions, but when examined by department, women actually had higher acceptance rates in most. They simply applied to more competitive departments, skewing the combined results.