Asymmetries

Different outcomes need context

Few matches can reflect the available pool, mutual preferences, visibility, activity or the observation period. They are not an objective measure of a person’s worth. Comparisons need the same platform, region, period and metric definition.

Bruch and Newman’s 2018 publication studied contact patterns on one dating platform in four US cities, including approaches to more sought-after people. It did not measure current Tinder or Hinge swipe success rates. 4

Research in 2026

A preprint by Tan and colleagues models how expectations and limited time can generate gender disparities in first contact. It offers a possible mechanism under assumptions, not a new representative measurement. 5

Several mechanisms can operate together. An observed difference establishes neither a biological constant nor an intentional intervention by a platform. Variation within groups also matters.

What CupidLeaks does with this

Previously displayed universal like and match rates and a purported general Hinge Gini have been removed: the cited evidence did not support that interpretation. Self-selected export collections can provide case studies, but not population averages without an adequate sampling design.

The simulator’s gender ratio and like probabilities are chosen model parameters. Its binary, opposite-gender population is a limitation of the implementation. Results do not generalize to every identity or dating configuration.