I want to compare two samples with a Kolmogorov-Smirnov test. Wikipedia states the null hypothesis is rejected at $\alpha$ if:
$\sqrt( \frac{nn'}{n+n'}) D_{nn'} > K_\alpha$
where $n$ and $n'$ are the sizes of samples, D the KS-statistic and $K_\alpha$ the critical value (probably everyone here already knows). I wonder about the sample sizes: according to this formula every null hypothesis is rejected, if the samples are just large enough.
Could anybody enlighten me, what I am misunderstanding?