A statistical-theory paper analyzing the set of unit-norm linear classifiers that perfectly interpolate a labeled dataset, characterizing how common good interpolating solutions are. It contributes to understanding benign overfitting and generalization in overparameterized models. Of interest to learning-theory researchers, with little direct practitioner application.