Why men on earth outnumber women by 60M
qz.com
qz.com
The probability of conception producing a male child is not 0.5; it is stacked in favor of the male. (In "most industrialized countries").
We know that parents tend to ignore male children much more. We know male suicide rates are several times those of females. We know that 92% of workplace fatalities are men. We know males are the vast majority of victims of violent crime. We know that most deaths in war are men (consider ISIS taking females captive while killing the males).
What we do not know is why the world is okay building itself on the bodies of men.
Speaking of retirement though, is interesting that despite women living longer than men, a huge number of countries force men to work five more years than women in order to retire.
http://en.wikipedia.org/wiki/Retirement_age#Retirement_age_b...
Retirement time is also interesting. In Poland we used to have 65 years for men and 60 for women. Now its 67 for both (still in transition period so its increasing slowly to finally settle at 67).
In countries with high rates of sex-selective abortions, I fear violent crime rates, particularly sex crime, will skyrocket.
Unfortunately, sex crimes have been on the rise in China.
Only then did I realize that it was just the top 1/3 of the beginning of the scroller (which I skipped because it looked like a bunch of spammy noise).
Then, I clicked the author's name (at the top) and the page went blank, except for the header.
EDIT: Now it's showing "Picasso = Genius". At the top the embedded link says "http://qz.com/335183 ", which matches the URL, but at the bottom it says "http://qz.com/425662 ". Very confusing.
The downvotes in this thread are hilarious, it's like downvoting as a proxy for "Works for Me."
Edit: seems to be fixed now.
> In 1961, the earliest year the World Bank provides data for, the world was within 0.09 percentage points of a perfectly equal distribution. Ever since, the gap has widened; now men outnumber women on the planet by almost 60 million.
It jumps from a percentage to an absolute number. What was the absolute number before? What is the percentage after?
In some insects the female is able to select gender specifically by fertilising the egg with sperm or withholding it.
In others, it seems that it has to do with ambient temperature, abundance of food, etc. If there are enough resources to make a large offspring, the most optimal one is produced that can benefit by being largest. In turtles it's a female, in crocodiles a male is produced (IIRC).
Anyway, in humans, higher rankers typically have male offspring. Apparently American presidents have had a disproportionately large number of sons. Poorer families typically desire - and apparently some studies indicate produce - more girls. This can again be explained by what is most optimal. It's more common in human societies for males to inherit rank, whereas women can marry into it. So poorer families in some cultures bequeath more wealth to women for dowries so they can try to buy their way into higher classes. By contrast, higher ranking men can father more children.
I'm basically regurgitating what I've been reading in The Red Queen. Not my ideas - check out the book. It's very interesting.
I keep repeating this on news.ycombinator: statistical analysis is predicated on the prior hypothesis that the stuff you're measuring is orthogonal to the stuff that you can't measure.
So: what are we measuring? What are we _not_ measuring? Is our theory that people exerting power have more testosterone and hence have more sons? That can be tested in wider populations, and including presidents might just be a huge confounding factors. Is it that presidents become powerful because they have the Mystery Factor, and that, too, is behind the excess sons?
If, by construction, only presidents have the Mystery Factor, we have to start from there. But then we need theories about the Mystery Factor to test. And controls, men who haven't become president by a matter of chance, and so on.
On the other hand: you can have huge datasets generated from website design tests and still end up doing "A/A testing" and such cargo cult statistics, complete with sacrifices to the gods of large sample sizes.