characterizations are established of the best finitely supported approximations, relative to
three familiar probability metrics (Lévy, Kantorovich, and Kolmogorov), given any number of
atoms, and allowing for additional constraints regarding weights or positions of atoms. As an
application, best (constrained or unconstrained) approximations are identified for Benford's
Law (logarithmic distribution of significands) and other familiar distributions. The results …