Quote: (09-16-2016 01:25 PM)Rudeman Wrote:
Lying is certainly part of it.
Another part is probably outlier girls. Mega sluts and straight up prostitutes. I wouldn't be surprised if 1% of the female population ends up with a 500+ notch count. I mean, how many guys does a prostitute bang over a decade career? I just googled it and there are an estimated 1 million prostitutes in the US. That doesn't count strippers and other shady ladies. If a prostitute's average career is a decade and the average life span is 70 years, that means that 7 million US women who are alive today will be, are, or have been prostitutes in their lives. With a population of 320 million and half are female, that means that 4.4% of women will be prostitutes during their lifetime.
Of course that doesn't reconcile the mathematics. But those outliers might get thrown out, not captured in data, normalized in statistical modeling, or they lie down to a more normal number. Like say from 1200 to 20.
And the fact is that women don't go to sex workers like men do, and men's sluttiness is limited by their SMV and game, whereas even nasty, fat, blue hair girls can find a willing hookup in 20 minutes on tinder.
I think overall in the normal range of number of partners guys probably do average a couple more bangs because so many of them resort to the megaslut or the sex worker.
In high school I lost my virginity to a 14 year old. I was her number 57. Mega sluts are going to megaslut.
The "mode" as its known in statistics is very import and often what we tend to think of as "average". I.e most common value in a data set. mr blue balls average maybe in this context. It's actually a useful bit of data as say if you take salary and one guy in 50 is a millionaire the
mean average would give you a false impression of say the spending activities of the group.
Imho the
mode for guys is lower than girls because of the 80/20 rule. I.e most girls are getting a fair amount of cock or somewhere near the cock they want to get. And most guys aren't getting much if any pussy. only the top 20% are. The 80% are the mr average (mode in the data).
Outliers and
megasluts don't matter to mean average because it's still impossible for the numbers not to be the same, on average, in hetro sex. Obviously you can introduce numbers from the outside like holiday bangs and foreign pros but nonetheless the mean average has to be the same, globally, between men and women, not discounting the fact that there aren't the same number of men and women in the world.
Megasluts can however definitely effect the median average, which is the middle point of a set of data. Outliers will slew things.
On a graph like that the male outliers on the right hand side would bring up the mean and the median but the mode for betas would be pretty low IMHO. I.e the number or bangs or partners for Joe Mode is pretty low.
I think the female graph would have some major outliers, the aforementioned ultrasluts/pros, but the mode would be closer to the mean as 80% of girls are getting a fair amount of cock.
i.e the female data, if you think of it like salary, would be most earning 50k pretty much with few rich ones (sluts) but the male curve would be most people earning 20k with a few millionaires/billionaires. I guess you could make the counter argument as pros will out bang any man, but I think it holds generally true with regards the mode average.