Simpson's Paradox

Simpson's Paradox, which is when the estimate of an aggregate effect is misleading and markedly different than the effect seen in underlying categories. A famous example occurred in graduate admissions at the University of California at Berkeley, where an apparent bias in admission was due instead to the fact that different departments has different overall admission rates and numbers of applicants.