In convex geometry and its probabilistic aspects, many fundamental inequalities can be reversed up to universal constants in the presence of geometric properties. In this talk we will see that distances between probability measures are equivalent for convex measures. Distances include total variation distance, Wasserstein distance, Kullback-Leibler distance and Levy-Prokhorov distance. This extends a result of Meckes and Meckes (2014).