How rare is female beauty? The answer to this question has yuge implications for the functioning of the sexual market and the average man’s odds of landing himself a cutie-pie. Reader Wrecked ‘Em tries to get a handle on the raw numbers, and cleverly draws a connection to the normal distribution of IQ among humans:
If you take the HB10 scale to generally mean a normal distribution with mean = 5 and standard deviation = 1, it works out reasonably well.
7 = 1 woman in 44
8 = 1 woman in 741
9 = 1 woman in 31,574With a global female population of 3.52 billion there would be 1,009 “10s” in the world. That’s a reasonable definition of an HB10: “one of the 1,000 most beautiful women in the world”.
Makes an interesting comparison to IQ…
7 = IQ 130
8 = IQ 145 (low bound for “genius”)
9 = IQ 160Like IQs above 150, at some point it becomes difficult to “test” since IQ and beauty aren’t like horsepower — better to get them together and sort them into a closed-order ranking based on their own opinion of each other.
Let’s assume (justifiably) that the 1-to-10 scale of female beauty predominately applies to under-35 women. Aging has such a deleterious effect on women’s looks that the 1-10 ranking no longer sufficiently captures the over-35 woman’s negative contribution to the normal distribution curve of female beauty. There are so few 7s, let alone 9s and 10s, among women older than 40 that to include them in the data set would dramatically skew the beauty curve to the left side, where the has-beens reside.
Given the above age-adjusted correction, there is still a problem with Wrecked ‘Em’s statistical premise. To wit: If you live in a region with lots of under-30 women who haven’t let themselves bloat into lardasses, you might be surprised to learn that only 1 out of 44 of them qualify as an HB7 (or higher). The reality is different than a normal distribution of female beauty would suggest; there are way more bangable 7s strolling around our urban fertility sinks than 1-in-44. I’d say the number of 7s or higher in any given population of White, under-30, slender* girls is closer to 1-in-5.
What gives? Well, I propose that the female beauty curve for prime fertility women (ages 15 to 25) is right-skewed. That is, if excess adiposity is avoided, a larger share of fertile young women than is inferred under a normal distribution are cute enough to impregnate.
That right skew in fertile female beauty is hard to quantify, but readers are welcome to take a shiv at it. Now you can argue that one man’s 7 is another man’s 5, but the real world evidence refutes you; most men pretty much agree on which women are 7s, which are 9s, and which are LSMV pawns in your master plan to womanize the fuck out of this gay earth.
So we’re left with the problem of graphing the distribution of a primally fertile female sub-population that has more 6s, 7s and 8s in it than a normal distribution would predict. (Although perhaps not many more 9s and 10s; extreme right or left tail rarity isn’t budged that much by an overall skew in the entire demographic.) My guess is that between the ages of 15 and 25, the representation of HB7s is triple what you would find in a perfectly normal distribution of female beauty.
What about the left side of the female beauty curve? Meh, WGAF. But for shits and giggles, gross obesity (but I repeat myself) has clearly increased the ranks of women in the unfuckable 1-3 categories. Regular, height-weight proportionate unattractive girls (plain janes) still exist, but their relative numbers have been crushed (heh) by the growing (heh) class of fat chicks. In a healthy America, say, 10% of women would be 4s; in a super-sized America, only 5% would be 4s because half of the 4s would have gotten fat and demoted themselves to 3s and 2s and “I’d sooner pork an apple pie”s.
Perhaps, then, the Current Year prime fertility female beauty curve looks more like a camel’s double-hump: lots of, ironically, sexually invisible fatties, and enough bangable slender babes to keep men at least partially invested in making a go at it rather than surrendering entirely to Pornhub. As age gathers, the female beauty curve starts to resemble a normal distribution, until a sexual worthlessness inflection point is reached and nearly all the women bunch up on the far left-behind side of the curve.
*Obesity so badly damages women’s SMV that there are wide (heh) swaths of the USA where barely any young women are attractive enough to inspire thoughts of the bang.
PS Comparison of the extreme tails is revealing. My hunch is that the left tail of female looks is longer/fatter than the right tail. If 1-in-30,000 women are 9s, then 1-in-300 are 2s. And this mismatch accords with personal observation. It’s probably a consequence of the sheer number of genetic permutations that have to go right to produce a 9, as opposed to the relatively light demands placed on the God of Biomechanics to produce a 2. (Basically, Nature stops de-bugging her code, and lets the mutational load run havoc.)