We do not disagree with Smith and O'Meara's points (1), which do not affect our results (2). P values must be viewed with caution when the x variable is a subset of the y variable, and we could have noted this point more prominently in our paper. From a purely pragmatic standpoint, however, most analyses employing morphogenera (e.g., analyzing fossil taxa) will lack prior knowledge of their phyletic status with respect to molecular cladograms. Therefore, the key consideration is the amount of variance explained by genera of unknown status compared to known monophyletic taxa. Furthermore, their analysis of mammalian body masses (1) suggests we should exclusively expect significant correlations, but when we re-create their analyses with the same body-mass data, varying the number of additional species required to create monophyletic groups across a realistic range, a substantial number of replicates yield insignificant P values (Table 1). Thus, significant correlations are not a foregone conclusion.This approach can also assess morphogenera as specieslevel proxies, although this issue was quite secondary to our main focus. Selecting body masses randomly from all Mammalia, we created 23 paraphyletic genera (as in ref . 2), assigning 13 congeneric species and a single outgroup responsible for the paraphyly (as in Cercopithecus), and 22 polyphyletic genera (2) with 16 congeners and 2 outgroups (as in Gazella). This configuration of congeners and outgroups represents a conservative assessment because many morphogenera had more outgroup taxa and therefore a greater ability to alter median mass. The reported Spearman rank correlation for the mammalian body masses (2) was higher than all 10,000 replicates (Fig. 1).With respect to phylogenetic correction at the genus level, we explicitly cautioned that the robustness of morphogenera as species proxies may not hold for all variables. However, consider encephalization in the mammalian order Carnivora, where data are readily available. Phylogenetically corrected ordinary leastsquares (OLS) regressions for ln brain volume on ln body mass are statistically indistinguishable between species-and genuslevel analyses (Table 2; for comparative purposes, we use their cited phylogeny, adding brain and body data from ref. 3). Our intention was to encourage such cross-level tests, particularly for features that might be preserved in fossil taxa, although we do note that genus-level data are often interesting in themselves, not just as proxies for species (4).We were surprised that Smith and O'Meara mistook agnosticism for apostasy on the point of phylogenetic comparative methods. We agree that phylogeny should be taken into account whenever possible (e.g., ref. 5), indeed our analysis of encephalization supports that view (compare corrected and uncorrected genus-level values in Table 2). Species-level molecular phylogenies are the most desirable framework for macroevolutionary analyses, but this situation will never obtain for all but a handful of the extinct 99% of species that have l...