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I was one of the founders of OkCupida dating website that, over a very unbubbly long haul of 10 years, has become one of the largest in the world.

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I started it with three friends. We were all mathematically minded, and the site succeeded in large part because we applied that mindset to dating.

Playing with the numbers helps us run our site. But as people bring technology deeper and deeper into their lives, it can show us profound and ridiculous things about who we are as human beings. Here are just a few examples. Reading from the top, we see that 20 and year-old women prefer year-old guys; year-old women like men who are 24, and so on down through the years to women at 50, who we see rate year-olds the highest.

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Look more closely, though, and there are two transitions, which coincide with big birthdays. The first is at 30, where the trend of male ages dips below parity, never to cross back.

The data is saying that until 30, a woman prefers slightly older guys; afterwards, she likes them slightly younger. Wooderson, the character played by Matthew McConaughey in the film Dazed and Confused, apparently spoke for all men when he said: They stay the same age. Here are the top five phrases for white men and white women:.

Ween a prog-rock band and mudding where you drive a car or four-wheeler through For comparison, here are the words for a few other large groups on OkCupid:. These are the words people in the UK disproportionately use in talking about themselves.

Every dating site has to have a way to measure how good-looking its users are. Unfortunately, despite our efforts, people still gravitate to the best-looking people.

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Here are messages received each week, versus beauty:. The sharp increase at the right smashes down the rest of the curve, so its true nature is a bit obscured, but from the lowest percentile up, this is roughly an exponential function.

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That is, it obeys the same maths seismologists use to measure the energy released by earthquakes: In terms of its effect, there is little noticeable difference between, say, a 1. But at the high end, a small difference has cataclysmic impact. Or launch a thousand ships.

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Here is data for interview requests on ShiftGig, a job-search site for hourly and service workersplotted against the attractiveness of the applicants:. Here, the female curve is exponential and the male is linear.

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Moreover, they hold whether the hiring manager, the person doing the interviewing, is a man or a woman. And female employers view it through the same seemingly sexualised lens, despite there typically being no romantic intent.


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