Lexicon
Modular entries on mechanics, incentives, algorithms, and asymmetries.
- 01
Overview
Usage, business models and current quarterly results: what the evidence supports and where its scope ends.
2 min · research · sources
- 02
Asymmetries
Contact patterns, selection and model assumptions: why universal success rates by gender are insufficient.
2 min · research · sources
- 03
Attention economy
What choice overload can explain and what Lorenz curves, Gini and simulated frustration actually measure.
2 min · research · sources
- 04
Communication & ghosting
Ghosting as an experience and a limited export heuristic: neither diagnosis nor universal prevalence.
2 min · research · sources
- 05
KPIs explained
Formulas, missing denominators and export limits. Why personal analysis uses no unsupported success benchmarks.
2 min · research · sources
- 06
Algorithmic mechanics
Current provider statements, basic methods and the limits of our five teaching models, including the FAIR-MATCH withdrawal.
2 min · research · sources
- 07
Monetization & incentives
Business incentives, historical price personalization and the distinction between documented practices and simulation.
2 min · research · sources
- 08
Algorithmic bias
Popularity bias, fair exposure and corrected research findings: revenue and matches need not be opposites.
2 min · research · sources
- 09
Safety & trust
Harassment and fraud with clear denominators, updated with the 2025 IC3 report published in 2026.
2 min · research · sources
- 10
LGBTQIA+ & non-binary reality
The 2026 Hinge report, corrected denominators and the limits of binary models for diverse dating experiences.
2 min · research · sources
- 11
Glossary
Consistent definitions for metrics, model assumptions and evidence quality, without universal success promises.
2 min · research · sources