Before convincing ourselves, we must consider the risk of decline; if the execution of Kolmogorov-Smirnov (KS) tests is a realization, it remains conditional.
The validity of this analysis fundamentally depends on the quality of the underlying data and the absence of bias.
A KS test that does not account for selection biases or truncated time windows only realizes part of reality, not the full truth.
For example, analyzing venture capital portfolio multiples, if it excludes failures or overvalues rare successes, cannot serve as reliable evidence of actual performance, but rather as an interpretation.