 According to the statistical consequence thesis, normic laws imply numerically unspecified statistical generalizations of the form “Most \(A\)s are \(B\)s”, by which they can be empirically tested. The statistical consequence thesis has been challenged by cognitive scientists (e.g., McCarthy 1986) and by philosophers of biology (e.g., Millikan 1984). Schurz (2001b) defends the statistical consequence thesis by the following argument which is based on the generalized theory of evolution that does not only apply to biological evolution but also to cultural evolution (cf. Mesoudi et al. 2006 for an excellent overview on generalized evolution theory; see Strößner 2015 for a recent discussion).