I’m not here to argue that the 1% figure is wrong. In fact, the 1% figure is higher than I assumed. Look at it this way: That recorded 1% cuckoldry rate is more than 30 TIMES the US recorded rape rate of 0.03%. ...
A flaw in assuming present-day cuckoldry rates align with historical cuckoldry rates is the fairly recent widespread availability of contraceptives and abortion. How many women who sleep with interloper males are using birth control? Probably most, and more so if those women are higher SES.Mentioned in the comments of the post he linked to is research from geneticist Bryan Sykes showing an estimated non-paternity rate of 1.3% per generation in England extending all the way back to 1300 AD, and one of our national treasures, Gregory Cochran, mentions that similar historical results have been found in the Irish and among the Boers. While Roissy reasonably presumes that women of higher socio-economic status do a better job of keeping extramarital dalliances from producing living evidence of their cheating than prole women do, Steve Sailer asserts that it's likely those with surnames that survived over several generations (including Sykes, the surname the eponymous Bryan Sykes used on the way to concluding an estimated 1.3% cuckoldry rate) were more put together and orderly--that is, of higher SES--than those that did not survive the test of time.
So if today's upper class women are better at avoiding procreation from affairs than lower class women are when, prior to modern contraception, non-paternity occurred in fewer than 1-in-50 births, well, it has been--for at least a millenia, anyway--a marginal phenomenon, and it continues to be so today, perhaps even more fringe now than it was in the past.
Another prospective reason PUAs overestimate cuckolding rates may be due to selection bias, with susceptibility to Game tactics and class being inversely correlated to some extent. That old bugaboo the GSS shows that among married or formerly married women, those on the lower half of the class structure are more likely to cheat on their husbands than those on the upper half are (14.7% of those in the lower/working classes to 11.1% of those in the middle/upper classes, n = 10,778). And of course marriage rates are lower in the lower/working classes than they are in the middle/upper classes. Infidelity rates are presumably higher among those in unmarried relationships than they are among those in married relationships, so the overall class gap in cheating rates is likely wider still.
GSS variables used: EVSTRAY, CLASS(1-2)(3-4), SEX(2)