  This note shows how to considerably strengthen the usual mode of convergence
of an $n$-particle system to its McKean-Vlasov limit, often known as
propagation of chaos, when the volatility coefficient is nondegenerate and
involves no interaction term. Notably, the empirical measure converges in a
much stronger topology than weak convergence, and any fixed $k$ particles
converge in total variation to their limit law as $n\rightarrow\infty$. This
requires minimal continuity for the drift in both the space and measure
variables. The proofs are purely probabilistic and rather short, relying on
Girsanov's and Sanov's theorems. Along the way, some modest new existence and
uniqueness results for McKean-Vlasov equations are derived.
