Swipe Right on Your Own Funeral: How Dating Apps Turned Romance Into a Logistics Problem

I was at a memorial service last spring — a real one, somber, flowers, the whole situation — when I caught myself doing it. The officiant was speaking. A family was grieving. And somewhere in the back of my skull, a small, broken part of my brain evaluated the person sitting two rows ahead of me and thought: five stars, would engage.

I did not open my phone. I want to be clear about that. But the impulse was there, fully formed, a reflex so deeply installed I couldn't locate the off switch. This is what three years of daily app use had done to my nervous system. I had become a sorting machine. Every room, a catalog. Every person, a listing.

The UX of Desire

Let's talk about what these apps actually are, beneath the heart icons and the carefully A/B-tested copy about finding your person. Dating apps are, in their architecture and their business logic, e-commerce platforms. The product is human beings. The consumer is also human beings. Everyone is simultaneously on both sides of the transaction, which sounds like a philosophical puzzle but is actually just Tuesday at 11pm when you're lying in bed with your phone.

The design is not accidental. Every choice — the infinite scroll, the binary swipe mechanic, the push notification that says someone liked you (present tense, ongoing, keep checking) — is borrowed from the same playbook that keeps you shopping for things you don't need at 1am. Variable reward schedules. Intermittent reinforcement. The dopamine drip of the almost-match, the maybe-connection, the conversation that started strong and then just... stopped, for reasons you will replay for three days.

Tinder's early designers were explicit about this. They studied slot machines. They knew what they were building. They built it anyway, and then they IPO'd, and now the slot machine is in everyone's pocket and we call it dating.

The Efficiency of Attraction

Here is what efficiency does to desire: it kills it slowly, then invoices you for the funeral.

Before apps, meeting someone involved a series of inefficiencies so profound they were almost beautiful. You might spend three hours at a party talking to someone before realizing you were attracted to them. You might become friends with someone for months before something shifted. You might have a terrible first impression of a person who later became essential to your life. The whole process was inefficient in the way that most meaningful things are — slow, nonlinear, stubbornly resistant to optimization.

Apps fixed this. Now you assess physical attraction in approximately 0.3 seconds, which is the actual documented average swipe time on Tinder. You do this hundreds of times a day. You become very fast at deciding people are not for you. You become less good at the slower, weirder work of letting someone become interesting over time.

You have been optimized, and the optimization has cost you something you didn't know you were paying with.

The Portfolio Problem

Investors talk about portfolio diversification — the idea that spreading your bets reduces risk. App culture applied this logic to human relationships, and the result is a generation of people who are technically talking to fourteen people simultaneously and emotionally present for approximately none of them.

This is not a character flaw. This is a rational response to the incentive structure. When the supply of potential partners appears infinite — when there is always another profile, another match, another person to evaluate — commitment feels not like a choice but like a foreclosure. You're not choosing someone. You're closing a tab. The other tabs are still open. You can always go back.

The apps know this. The apps depend on this. An app that successfully matched you with a life partner and you deleted it forever is an app that lost a customer. The business model requires loneliness to be chronic, manageable, and just optimistic enough to keep you subscribed at $29.99 a month for the premium tier that lets you see who liked you, which feels like information you should have for free but doesn't and here we are.

What the Algorithm Knows (And What It Can't)

Every major platform will tell you about its matching algorithm. Compatibility scores. Shared interests. Behavioral data. Hinge, to its credit, at least says it wants to be deleted, which is the most poignant corporate mission statement in the history of American capitalism.

But here is what no algorithm has ever successfully modeled: the specific way someone laughs at their own jokes before the punchline. The fact that you find their nervous habit of touching their ear more disarming than you expected. The way a conversation that looked boring on paper became the best three hours of your month. Chemistry, which is what we're actually looking for, is not a data set. It's a surprise. And the entire architecture of swipe-based apps is engineered to eliminate surprise in favor of predicted preference.

You're not finding someone you'll love. You're confirming a hypothesis about someone you've already partially rejected because their third photo had weird lighting.

The Grief Nobody Names

There is a particular exhaustion that app users know and rarely discuss in polite company. It's not heartbreak — heartbreak is clean, has a cause, resolves eventually. This is something grayer. It's the tiredness of having evaluated thousands of humans and found the process somehow depleting rather than hopeful. It's the strange loneliness of being connected to so many people and genuinely close to none of them. It's realizing, somewhere around your four-hundredth unmemorable match, that you've been treating intimacy like a logistics problem and intimacy has been refusing, stubbornly and correctly, to behave like one.

The apps didn't create loneliness. But they did build an extremely profitable infrastructure around it, gamified it into something that feels like agency, and handed it back to us as a solution to the very problem they were quietly making worse.

At the memorial, the officiant finished speaking. The person two rows ahead of me turned around for a moment, and I saw their face, and they were clearly devastated, and I felt like a complete monster, and then I felt something else — a small, stubborn, fully human response that no algorithm had put there.

I don't know what you call that. But it wasn't a swipe.