Matching sorting online dating markets
The quiz that had brought them together was part of a multi-year study called the Marriage Pact, created by two Stanford students.
Using economic theory and cutting-edge computer science, the Marriage Pact is designed to match people up in stable partnerships.
Seventeen years later, two Stanford classmates, Sophia Sterling-Angus and Liam Mc Gregor, landed on a similar concept while taking an economics class on market design.
Each person would fill out a detailed survey, and the algorithm would compare their responses to everyone else’s, using a learned compatibility model to assign a “compatibility score.” It then made the best one-to-one pairings possible — giving each person the best match it could — while also doing the same for everyone else.
Mc Gregor and Sterling-Angus read through academic journals and talked to experts to design a survey that could test core companionship values.
It had questions like: How much should your future kids get as an allowance? Do you think you’re smarter than most other people at Stanford? Then they sent it to every undergraduate at their school. “Finding a life partner is probably not a priority right now. But years from now, you may realize that most viable boos are already hitched. When they closed the survey a few days later, they had 4,100. At around 11 pm the following Monday, they sent out the results. Resident assistants texted them saying the freshmen dorms were in chaos, and the Stanford memes Facebook page — where students share campus-specific humor — was awash in Marriage Pact content.
At that point, it’s less about finding ‘the one’ and more about finding ‘the last one left.’ Take our quiz, and find your marriage pact match here.” They hoped for 100 responses. Streiber, the English major who would go on to meet her match for coffee and discover how much they had in common, remembers filling out the survey with friends.
That’s what Mc Gregor and Sterling-Angus were after — a sort of romantic safety net that prioritized stability over initial attraction.