Before any conviction, the downside must be considered; performing Kolmogorov-Smirnov tests does not make the statistical methodology inherently tangible.
It is an operational step, but the realization itself is subject to data limitations and interpretation.
Tests can indicate distributional similarity, but this is not proof of resilience against external shocks or market manipulations.
For example, a KS test could show similarity in historical returns but would not guarantee model stability in a context of high volatility imposed by BaFin.