Tinder Borrowed a Ranking System From Chess
For a time, Tinder used an Elo score, a kind of rating originally designed to compare chess players. In chess, beating a highly rated opponent moves your rating more than beating someone expected to lose. Tinder adapted that logic to estimate how much interest a profile attracted.
A swipe could therefore count as more than a simple yes or no. The rating of the person swiping also mattered: interest from someone the system considered highly sought-after could affect a profile’s score differently from interest from someone with a lower score. The result was a constantly shifting ranking, not a permanent grade.
How a Score Could Shape What People Saw
Dating apps have more profiles than any one person can browse. A ranking system helps decide which profiles to put in front of which users. A score based on past reactions could influence that ordering, giving the app a way to predict which introductions might lead to mutual interest.
But the system also created a feedback loop. A profile shown often had more chances to receive swipes, and those reactions could then influence its ranking. Someone shown less often had fewer opportunities to generate the signals the system used. The score was not a simple measure of a person’s worth—or even a direct count of likes—but it could affect their visibility within the app.
Tinder later said it had moved away from Elo-style ranking. The episode illustrates a consequential design choice in online dating: a system meant to predict compatibility can also determine who gets the chance to be considered.
