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The dating algorithm that gives you merely one match

The dating algorithm that gives you merely one match

The Marriage Pact was created to assist university students find their perfect “backup plan.”

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Siena Streiber, an English major at Stanford University, wasn’t searching for a husband. But waiting during the cafe, she felt stressed nevertheless. “I remember thinking, at the very least we’re conference for coffee rather than some fancy dinner,” she said. Just what had started as bull crap — a campus-wide test that promised to share with her which Stanford classmate she should marry — had quickly changed into something more. Presently there ended up being an individual sitting yourself down across she felt both excited and anxious from her, and.

The test which had brought them together ended up being section of a multi-year research called the Marriage Pact, developed by two Stanford pupils. Making use of theory that is economic cutting-edge computer technology, the Marriage Pact was designed to match individuals up in stable partnerships.

As Streiber along with her date chatted, “It became instantly clear if you ask me why we had been a 100 % match,” she stated. They learned they’d both developed in l . a ., had attended nearby high schools, and finally wished to work with activity. They even had a sense that is similar of.

“It had been the excitement of having combined with a complete stranger however the probability of not receiving combined with a complete stranger,” she mused. “i did son’t need to filter myself at all.” Coffee changed into meal, plus the pair chose to skip their classes to hang out afternoon. It very nearly seemed too advisable that you be real.

In 2000, psychologists Sheena Iyengar and Mark Lepper penned a paper from the paradox of choice — the concept that having options that are too many result in choice paralysis. Seventeen years later on, two Stanford classmates, Sophia Sterling-Angus and Liam McGregor, landed on a concept that is similar using an economics course on market design.