  We show that the Kolmogorov distance allows to quantify memory effects in
classical stochastic processes by studying the evolution of the single-time
probability distribution. We further investigate the relation between the
Kolmogorov distance and other sufficient but not necessary signatures of
non-Markovianity within the classical setting.
