Gapping is statistical technique for finding unusual spaces or 'gaps' in univariate data strings. It stems from the notion that we expect to find data distributions relatively dense in the middle and relatively sparse in the extremes. This essay describes this method and gives approximate rules for determining an unusually large gap from one of normally observed size. (7pp.)