I'll concede this, however in large-scale demographic data, when the central tendencies of two populations align so closely, it is statistically unlikely that their underlying distributions are radically different. It puts the burden of proof on the idea that Ohio is somehow an outlier, rather than the idea that it's a standard sample. Otherwise, were we to attempt to account for every confounding variable, we would be letting the perfect be the enemy of the good.