Dating App Burnout Has a Number. Forbes Health Put It at 78%

Forbes Health ran a survey in 2023 asking daters a simple question: are you burned out on dating apps? Seventy-eight percent said yes. That number has been quoted everywhere since — in headlines, in app reviews, in this very niche of the internet — often without anyone stopping to ask what the survey actually measured, who answered it, and what it can and can't tell you about your own experience.

This is worth slowing down on, because the number is real, but the way it gets used usually isn't. A statistic repeated without its methodology turns into folklore. So here's the deep dive: what Forbes Health actually asked, what the 78% figure really represents, where it gets stretched past what it supports, and what it means if you're the one feeling burned out right now.

What the Forbes Health Survey Actually Set Out to Measure

Forbes Health, working with a market research partner, surveyed a sample of U.S. adults who had used a dating app in the past year. The core question was about self-reported burnout — a subjective assessment, not a clinical diagnosis. Respondents were asked whether they felt "burned out" by dating apps, and separately, what specific behaviors or feelings accompanied that burnout: things like taking breaks, feeling frustrated, or losing motivation to keep using the apps.

This distinction matters. The survey wasn't measuring a biological or psychological syndrome with diagnostic criteria — it was measuring how people described their own state, in their own words, prompted by a specific question. That's a legitimate way to study a phenomenon like this. It's also a narrower claim than "78% of daters are burned out," full stop, which is how the number often gets repeated.

The Headline Number Isn't the Interesting Part

78% is the number everyone quotes, but it's also the least surprising part of the dataset. Self-reported burnout on almost anything repetitive and effortful — job searching, apartment hunting, online shopping during a sale — tends to run high once you ask directly. The more useful numbers are buried in the breakdown: what respondents said caused the burnout, and how it changed their behavior.

A large share of respondents in the Forbes Health data pointed to specific, structural complaints: too many low-quality matches, conversations that fizzled before a date got scheduled, and a sense of repetitiveness in the profiles they were shown. That's a different finding than "dating is exhausting." It's closer to "the mechanism of these specific apps produces exhaustion on a predictable schedule" — which lines up with what choice-overload researchers have found in other contexts entirely, from grocery store jam displays to streaming catalogs.

What the Data Does Not Prove

It's worth being precise about the limits here, because overstating a study is how good data turns into bad folklore.

• It doesn't prove causation from one specific design choice. The survey shows correlation between app use and reported burnout, not a controlled test isolating swiping mechanics from, say, general dating stress.
• It doesn't measure clinical burnout. This is self-reported fatigue with a colloquial term, not a validated psychological instrument like the Maslach Burnout Inventory.
• It doesn't tell you what fixes it. The survey documents the problem; it doesn't test interventions. Whether a break, a different app, or a different model actually resolves the burnout is a separate question the data can't answer on its own.
• It's a snapshot, not a trend line. One survey at one point in time can't tell you whether burnout is rising, falling, or holding steady year over year.

None of this makes the finding unimportant. It just means the honest claim is narrower than the headline: a large majority of active daters, asked directly, say the apps wear them down. That's still a real and useful data point — it just isn't proof of a universal, permanent, or singularly-caused condition.

Why the 78% Figure Lines Up With Other Research

The value of the Forbes Health number isn't that it stands alone — it's that it corroborates findings from very different methodologies. Pew Research Center has separately found that roughly half of Americans under 30 have used a dating app, and a comparable share of users across age groups report negative experiences on them, including feeling disrespected or unsafe. That's a different survey, a different research organization, and a different question — and it points the same direction.

Academic work adds a mechanistic layer Forbes Health's consumer survey wasn't designed to provide. Finkel and colleagues, in their widely-cited review "Online Dating: A Critical Analysis" published in Psychological Science in the Public Interest, found that the matching algorithms underlying most dating apps have limited power to predict real-world relationship success. If the sorting mechanism isn't actually improving your odds, then more time spent swiping is mostly just more exposure to a process with a weak payoff — a plausible contributor to exactly the fatigue Forbes Health measured. We covered that study in full in our deep dive on the Finkel research.

Then there's the mechanical layer: Ofcom's research on choice overload in UK media consumption found that larger, less curated catalogs measurably increase decision fatigue and lower satisfaction with the choice eventually made — a pattern that maps closely onto an infinite swipe deck, which we examined at length in our look at Ofcom's streaming data. Three separate research efforts, three separate methods, one converging picture.

What the Business Model Adds to the Picture

A number like 78% invites an obvious follow-up: if this many users are burned out, why hasn't the product changed? Match Group's own investor disclosures answer that question more plainly than any marketing page will. The company's SEC filings discuss "payers" and engagement metrics as the core business drivers — not matches made, not relationships formed, not users who left the platform because they found someone. A subscription business built on ongoing engagement has a structural incentive to keep the deck long and the outcome uncertain, not to resolve your search quickly.

That's not an accusation of bad faith — it's what the filings say, plainly. We went through the actual numbers in our deep dive into Match Group's 10-K. It's the missing piece that explains why a burnout statistic this high hasn't produced a redesign: the design isn't broken from the business's point of view. It's working as intended.

What This Actually Predicts, If You Take the Data Seriously

If you connect the Forbes Health survey to the mechanistic research, a fairly specific prediction falls out: burnout should track exposure to unfiltered volume, not exposure to dating itself. People who spend the same amount of time on a smaller, pre-filtered set of introductions should report less burnout than people spending equal time on an open-ended deck — even if the total hours invested are identical.

That prediction is testable, and it's consistent with what smaller studies on choice architecture generally find: the number of options presented, independent of the quality of any single option, predicts satisfaction with the eventual choice. It's also consistent, loudly, with the fact that Justin McLeod — the person who built Hinge, one of the apps this burnout data describes — has now built something with no swiping deck at all. We covered what that move actually signals in our piece on Overtone's founder.

What Actually Reduces the Burnout, According to the Broader Evidence

Neither Forbes Health nor any single study tested interventions directly, but triangulating across the choice-overload literature, the Finkel review, and behavioral data on engagement design points to a consistent set of levers:

1. Cut the decision volume, deliberately. Fewer, more deliberate choices consistently outperform larger unfiltered sets in satisfaction research.
2. Move the first filter off your own exhausted judgment. A pre-screening step — human or algorithmic — reduces the number of low-quality decisions you personally have to make.
3. Separate the browsing habit from the goal. Continued app use after burnout sets in is often closer to habitual scrolling than active searching — worth naming honestly.
4. Track outcomes, not activity. Matches and messages sent are engagement metrics; dates scheduled and relationships formed are outcome metrics. They diverge more than people expect.

This is also where agent-mediated approaches like neverswipe fit into the picture honestly: fewer, more considered introductions instead of an open deck is a direct answer to the mechanism the research describes, not a marketing claim layered on top of it.

How to Read the Next Burnout Statistic You See

The 78% figure isn't wrong, and it isn't going away — expect it to keep circulating, sometimes rounded up, sometimes stripped of context entirely. When you see it (or the next survey like it), it's worth asking three quick questions before you let it update your beliefs: What exactly was the question asked? What was the sample? And what's the difference between what the data shows and what the headline implies? Applied consistently, those three questions are the difference between using research and just repeating it.

Frequently Asked Questions

What did the Forbes Health dating app burnout survey actually find?
Forbes Health surveyed U.S. adults who had used a dating app in the past year and found that 78% reported feeling burned out, with common contributing factors including low-quality matches, stalled conversations, and repetitive profiles.

Is dating app burnout a clinically recognized condition?
No. It's a colloquial, self-reported term in this and similar surveys, not a diagnosis drawn from a validated clinical instrument. That doesn't make the experience less real, but it's a narrower claim than "clinical burnout."

Does the survey prove dating apps cause burnout?
It shows a strong correlation between app use and self-reported burnout, but it wasn't designed to isolate cause from a specific design element. Mechanistic research on choice overload and matching algorithms adds context the survey alone doesn't provide.

Does taking a break from dating apps fix the burnout?
The Forbes Health data doesn't test this directly. Broader research suggests a break provides temporary relief but doesn't change the underlying mechanism, since the same volume and design return the moment you log back in.

Is this burnout number still relevant years later?
The specific figure comes from a point-in-time survey, but Pew's ongoing data on negative experiences with dating apps, along with the swiping model's largely unchanged design, suggests the underlying pattern hasn't shifted much since.