Episode Summary
Executive Summary: The episode launches an Economics of Love series by examining dating apps as matching markets shaped by shopping-like behavior, signaling, and algorithmic ranking. Cam and Adam argue apps have made dating more searchable but also more unequal and selection-driven, privileging a small set of highly desired men while leaving many users frustrated.
Main Topics: Dating as a market and the history of courtship (Priority: 5/5): Adam frames modern dating as emerging from commercial society, romantic ideals, the rise of dating as a distinct stage, and relaxed sexual norms, making app-based dating feel like shopping. Matching markets and learning over time (Priority: 5/5): The hosts explain Alvin Roth and Lloyd Shapley’s matching-market logic: dating differs from one-shot matching because it adds learning, uncertainty, and the option to continue or exit relationships. Business models of dating apps (Priority: 4/5): They discuss how apps make money through freemium subscriptions and attention/engagement, while noting that many platforms function less as marriage conduits and more like social media with sexual utility. Game theory, signaling, and ranking systems (Priority: 4/5): Adam describes dating-app interaction as strategic behavior, including signaling through profile choices and possible ranking mechanisms like ELO-style scoring that influence visibility and match outcomes. Algorithmic steering and inequality (Priority: 5/5): The conversation highlights how apps steer users toward appearance and education criteria, amplifying competition for a small number of highly desirable men and producing many unhappy users. Broader social consequences of app-mediated dating (Priority: 4/5): The hosts question whether dating apps are reshaping romantic norms by foregrounding sex, making partners easier to meet but not easier to love, and potentially changing family formation patterns.
Key Arguments: Dating apps are best understood as market institutions rather than neutral tools; they reshape courtship into a shopping-like process. Matching markets are more complex than ordinary markets because preferences are heterogeneous and people learn about fit over time. Dating introduces a learning phase that traditional matching models often miss, creating trade-offs between searching longer and committing earlier. App design affects outcomes: reducing search costs can make users pickier, while lowering stigma or commitment costs can increase openness to experimentation. The apparent paradox of apps profiting while promoting relationships is resolved because many are really optimized for engagement, hookups, and social entertainment, not necessarily marriage. Business viability comes from freemium tiers and recurring users, plus the fact that users seek entertainment, ego boosts, and sexual access, not only long-term partnership. Dating apps intensify inequality by concentrating attention on a minority of attractive/educated men, leaving many users with little success and making the system feel brutal. Algorithms and selectable criteria steer users toward superficial or easily quantified traits, which can distort real romantic preferences and social outcomes.
Data Points: Heterosexual couples meeting online: 39% - Share of heterosexual couples who report meeting their partner online, making online dating the most common single meeting method. Same-sex couples meeting online: 65% - Share of same-sex couples who report meeting their partner online, showing earlier adoption of online matching. BetterHelp therapists: 30,000 - Sponsor claim about the number of therapists on the platform. BetterHelp global users: over 5 million - Sponsor claim about the platform’s global reach. BetterHelp average live-session rating: 4.9/5 - Sponsor claim based on client reviews. BetterHelp client reviews: 1.7 million - Sponsor claim supporting the rating statistic. BetterHelp discount: 10% off first month - Listener promotion mentioned in the ad read. Tinder revenue: $800 million per quarter - Adam cites Tinder’s scale as evidence that dating apps are strong business models. Tinder profit margin: about 25% - Adam estimates margins from the cited revenue. Tinder quarterly profit: about $200 million - Derived from the stated revenue and margin as discussed in the episode. Foreign Policy subscription discount: 15% chance discount - Promo mentioned at the end of the episode for listeners.
Pivotal Quotes: "We may have become easier to meet, but we are not any easier to love." — Cameron Abadi: Framing the central question about whether dating apps improve or merely transform romantic life. "It's not management consultancy for singles." — Adam Tooze: Responding to the idea that economics research can give simple, actionable dating advice. "They are basically Facebook with all of the pretense removed." — Adam Tooze: Describing dating apps as social media and entertainment platforms with sexual utility rather than pure matchmaking tools.
Implications: Dating apps are reshaping romance into a more quantifiable, strategic, and unequal process. Listeners should expect more search, signaling, and sorting—but not necessarily better relationships or more equitable outcomes.
About Ones and Tooze
Foreign Policy economics columnist Adam Tooze, a history professor and a popular author, is encyclopedic about basically everything: from the COVID shutdown, to climate change, to pasta sauce. On our new podcast, Tooze and FP deputy editor Cameron Abadi will look at two data points each week that explain the world: one drawn from the week’s headlines and the other from just about anywhere else Tooze takes us. Check out Adam Tooze’s column at https://foreignpolicy.com/author/adam-tooze/.