What’s the exact mathematical probability of bumping into Mr. Right?
A few years ago Amy Webb found herself at the end of another fantastic relationship — that had come crashing down spectacularly around her ears.
Amy is a lover of numbers, she finds nothing sexier than a spreadsheet. So she resolved to balance her romantic inequation a little more scientifically.
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Unfortunately, as it turned out, she was already five years behind schedule in her mission to find “the one”.
Amy decided to try online dating. She made a profile and entered her data.
“I like the idea of online dating because it’s predicated on an algorithm and that’s just a simple way of saying ‘I’ve got a problem, I’m gonna use some data, run it through a system and get to a solution’,” she says in her TED Talk (this tale has a happy ending don’t worry).
Even so, it wasn’t as easy to find her Jew-ish prince as she’d hope.
Fed up with horrible dates (we’re looking at you Steve the IT guy), Amy stepped it up a notch. From now on she would only date in wi-fi zones and created an email template to fill out with data points. That way she could prove empirically that her dates really were THAT terrible.
She tracked really stupid awkward sexual remarks, bad vocabulary, even the number of times a man forced her to high-five him (once is too many, obviously) and she started to crunch some numbers.
Some mathematical correlations emerged:
“These websites are asking us questions like: “are you a dog person or a cat person? Do you like horror films of romance films?” she says. “I’m not looking for a pen pal. I’m looking for a husband.”
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She went deeper. She wanted to know what profiles worked and what didn’t . How many words should hers have? (Less.) How much skin should she show? (More.)
She created a super profile. The ultimate profile. She became the most popular woman on the site.
But was her future husband among her suitors? Let her tell you herself.