I Am Jack’s Small Dating Pool

I am Jack’s small dating pool.

A wading pool. A waiting pool.

There are plenty of fish in the sea.

This is comforting advice if you are dating the sea.

I am not.

I am dating within driving distance.

I am in my fifties. I am looking for women. I have preferences. They have preferences. I live in North Carolina. I state plainly on my profile that I am an atheist, because apparently honesty should enter the relationship before dessert.

Then there is attraction.

Then personality.

Then availability.

Then timing.

Then whether either person is actually using the app this week instead of opening it every fourth Tuesday, staring into the abyss for ninety seconds, and remembering there are dishes to wash.

The sea gets smaller quickly.

Recently I said that I did not think Hinge was showing my profile very much.

Then I challenged the assumption.

I do not know how much Hinge shows my profile.

The more accurate sentence was worse:

I do not think there are that many women left looking at me.

Not women on Earth.

Not women in North Carolina.

Not women within sixty miles.

Women inside the overlapping circles required for us to become visible, plausible, interested, and available to each other at approximately the same moment.

That is not an ocean.

That is a wading pool.

Then you wait in it.

The denominator

Dating apps give us numerators.

Likes.

Matches.

Messages.

Dates.

They do not give us the denominator that makes those numbers intelligible.

I can know that I received no likes today.

I cannot know from that number how many realistically compatible women were active nearby, how many were eligible under their own preferences, how many were shown my profile, how many saw it while actually paying attention, or how many would have been interested under slightly different timing.

This matters because zero divided by an unknown number can feel remarkably like a personal verdict.

The cruelest metric in online dating is a numerator without a denominator.

Hinge is explicit that recommendation is not random. It says its matching systems use information including age, gender, location, preferences and dealbreakers, along with behavior such as likes, skips, matches, and even whether people exchange phone numbers. Its “Most Compatible” recommendation uses mutual dealbreakers, recent activity, and patterns in whom people tend to like.

This is reasonable.

It is also machinery between one lonely person and another.

The machinery can rank.

It can filter.

It can predict.

It can learn that I tend to like one kind of profile and skip another.

It cannot manufacture another compatible person in Winston-Salem because Thursday has been slow.

A recommendation system can rearrange the pool.

It cannot deepen it.

Plenty of fish

The phrase survives because abundance is emotionally convenient.

There are billions of people.

Therefore there are many possible partners.

Mathematically, perhaps.

Operationally, no.

A dating pool is an intersection.

Start with people.

Now choose the gender or genders you date.

Choose an age range.

Choose a geography.

Remove people already partnered or not dating.

Remove people who are not using the same app.

Remove people who have stopped using it but have not yet performed the small administrative funeral of deleting the account.

Apply their preferences to you.

Apply your preferences to them.

Now add religion, politics, children, smoking, drinking, relationship intentions, lifestyle, attraction, personality, and the dozen other things humans insist on bringing into relationships despite the obvious efficiency gains of standardized components.

Then require mutual interest.

Then require somebody to speak.

Then require both people to remain interested after speaking.

Then require a calendar.

The miracle is not that dating apps sometimes feel empty.

The miracle is that anyone gets dinner.

The abundance story is powerful enough that, when Pew asked Americans about choice on dating platforms, 37 percent said people have too many options and only 13 percent said they have too few.

Both perceptions can be true.

A platform can contain enormous aggregate choice while a particular person's intersection is tiny.

The catalog can be infinite.

The compatible inventory can still fit on a bar napkin.

Hinge does not hide this filtering model. Its free dating preferences include gender, distance, age range, ethnicity, relationship type, and religion. Strict preferences can be used to exclude profiles that do not match. Paid tiers add still more filters.

Filters are useful because compatibility matters.

Filters are dangerous only when we confuse a better filter with a larger supply.

A filter is not a factory.

Every preference may improve the average plausibility of the people who remain while reducing the number of people who remain.

That is not a flaw in filtering.

That is what filtering means.

The atheist tax

I list “atheist” under religious beliefs.

I could hide it.

I could choose something softer.

I could leave religion unspecified and increase the number of people willing to imagine that the blank contains something convenient.

That would enlarge the apparent pool.

It would not enlarge the compatible pool.

Pew’s 2023–24 Religious Landscape Study estimates that 4 percent of adults in North Carolina identify as atheist. Another 5 percent identify as agnostic and 17 percent as “nothing in particular.” The margin of error on the state estimate is substantial, and religious identity is not the same thing as dating compatibility. A Christian woman can date an atheist man. An atheist woman can prefer someone religious. Humans continue refusing to become normalized database rows.

Still, “atheist” is not neutral metadata here.

Hinge itself treats religion as important enough to be a standard profile attribute and a free dating preference.

The label communicates something.

For some people, it will be irrelevant.

For some, interesting.

For some, disqualifying.

Good.

A relationship does not improve because the incompatibility was delayed until date six.

There is an ugly temptation in a small pool to become broadly acceptable.

Make the profile friendlier.

Hide the difficult belief.

Widen the radius.

Widen the age range.

Soften the politics.

Choose prompts that offend nobody.

Become sufficiently generic that the marketplace can route you anywhere.

This is how abundance can be restored statistically while connection is quietly removed from the objective.

You can always enlarge a dating pool by pretending to be easier to pair.

That is not compatibility.

That is inventory optimization.

Age is math before it is judgment

I am also in my fifties.

This is not tragic.

It is extremely well documented.

It does, however, change the population participating in online dating.

Pew found in a 2022 national survey that 23 percent of Americans in their fifties had ever used online dating. Among all adults 50 and older, only 3 percent said they currently used a dating platform or had used one within the previous year, compared with 15 percent of adults under 50.

That is not an estimate of the eligible single population. It includes married people and people with no interest in dating, and it predates Hinge’s more recent growth.

It is still useful context.

The online dating market is not evenly populated across age.

The app may contain millions of people in aggregate while a particular person’s relevant market is thin.

This is the difference between global scale and local density.

A supermarket can stock ten thousand products and still be out of the one thing you came to buy.

Dating apps are very large supermarkets in which the products also have preferences and are evaluating the customer.

This complicates inventory management.

Designed to be deleted

Hinge calls itself “the dating app designed to be deleted.” Its stated mission is to create a less lonely world through intimate, in-person connection.

I like that promise.

It is substantially better than “maximize daily active yearning.”

Hinge says it learns your type, introduces you to people it considers good candidates, lets you express personality through prompts and profile attributes, and follows up about dates to improve future recommendations.

There is real thought in that design.

There is also a limit no design can remove.

A company can improve matching inside a market.

It cannot guarantee market density for every person inside every geography at every age with every set of values.

This is where the marketing language of abundance collides with the physical world.

The phone contains everyone.

The dating pool does not.

Hinge’s parent company, Match Group, reported about $691 million in Hinge direct revenue for 2025, up from about $550 million the year before. Hinge also hires specifically for growth, monetization, acquisition, activation, and retention while publicly defining success around getting people onto good dates.

None of this proves that Hinge deliberately withholds compatible people to keep users paying.

I do not have that receipt.

I will not manufacture it because the theory is emotionally satisfying.

A profitable dating app can genuinely want users to succeed and still need a continuing supply of users, paying customers, and engagement. Those incentives are worth noticing without inventing a villain.

The more immediate problem is simpler.

The interface necessarily compresses a complicated marketplace into individual outcomes.

No match.

No reply.

No new like.

Another profile.

Another day.

The machinery is enormous.

The experience is personal.

The personalization of scarcity

This is where the inversion completes itself.

Dating apps promise abundance.

They place hundreds or thousands of faces behind a pane of glass and turn romantic possibility into an apparently renewable feed.

The user learns to experience the feed as supply.

When supply slows, the explanation turns inward.

Bad photos.

Wrong prompts.

Too old.

Too strange.

Too atheist.

Too boring.

Too much.

Not enough.

Maybe some of those judgments are true sometimes.

Profiles matter. Attraction matters. Presentation matters. Behavior matters. People are allowed not to want us. Dating would become considerably more alarming if they were not.

But the interface does not show the difference between rejection and scarcity.

It does not say:

There were only twelve plausible people in your current intersection.

Seven have not opened the app recently.

Three have preferences that probably exclude you.

One already saw you six weeks ago.

One might like you tomorrow.

Instead it shows silence.

The person supplies the meaning.

This is an extraordinarily efficient way to convert market conditions into self-evaluation.

The app does not have to tell you that you are undesirable.

It only has to leave the denominator blank.

You will finish the calculation yourself.

A wading pool

I could widen everything.

I could drive farther.

I could conceal the atheist label.

I could accept incompatible values because compatibility is difficult to locate.

I could treat every human preference as a defect in my funnel.

I could optimize myself until the profile performs beautifully for people I do not actually want to meet.

That would solve the wrong problem.

I do not need thousands of matches.

I do not need fifty.

I do not need ten.

The uncomfortable arithmetic of dating is that one is enough and zero is indistinguishable from infinity until the one appears.

So the pool can be small.

It can even be absurdly small.

What I refuse to do is mistake its size for a measurement of my worth.

Scarcity is not rejection.

Sometimes scarcity is simply scarcity.

A dating app can help two compatible people notice each other.

That is already a remarkable thing.

It cannot promise that both people exist inside the same sixty-mile circle tonight.

It cannot swipe someone into existence.

It cannot algorithmically summon an atheist woman with compatible values, mutual attraction, a free Saturday, and an inexplicable appreciation for the exact collection of defects I have spent fifty-three years assembling.

Perhaps she is there.

Perhaps she is not on Hinge.

Perhaps she has not seen me.

Perhaps she saw me and quite reasonably continued with her life.

Perhaps tomorrow changes the denominator.

I do not know.

That is the point.

I am Jack’s small dating pool.

A wading pool.

A waiting pool.

There may not be plenty of fish.

There does not need to be.

There needs to be one.

Until then, I will not confuse an empty screen with a verdict.

Receipts

• Hinge, “What is Hinge?” ↗ — Hinge describes itself as “the dating app designed to be deleted,” states its mission of creating a less lonely world through in-person connection, and says its recommendations learn users’ preferences while profiles include attributes such as religion and politics.
• Hinge, “How do I change my Preferences?” ↗ — Hinge documents free filters for gender, distance, age range, ethnicity, relationship type, and religion, along with stricter preference controls and additional subscriber filters.
• Hinge, “Automated Decision-Making and Profiling at Hinge” ↗ — Hinge says its matching algorithm uses information including age, gender, location, preferences, dealbreakers, likes, skips, matches, and phone-number exchanges to recommend people to each other.
• Hinge, “What is Most Compatible?” ↗ — Hinge says its Most Compatible recommendation is based on mutual dealbreakers, recent activity, and shared patterns in who users tend to like.
• Pew Research Center, “Dating at 50 and up: Older Americans’ experiences with online dating” ↗ — Pew’s 2022 survey found that 23% of Americans in their fifties had ever used online dating, while 3% of adults 50 and older were current users or had used a platform within the prior year, compared with 15% of adults under 50. These figures describe broad platform participation, not the eligible single population.
• Pew Research Center, “Americans’ views on online dating” ↗ — Pew found that 37% of U.S. adults thought dating platforms offered too many choices, while 13% thought they offered too few, useful evidence for the gap between aggregate abundance and an individual user’s much narrower compatible market.
• Pew Research Center, “People in North Carolina,” 2023–24 Religious Landscape Study ↗ — Pew estimates that 4% of North Carolina adults identify as atheist, 5% as agnostic, and 17% as “nothing in particular”; the state-level margin of error is ±4.1 percentage points. Religious identity is used here as context, not as a direct estimate of dating compatibility.
• Match Group, 2025 Form 10-K ↗ — Match Group reported approximately $690.9 million in Hinge direct revenue for 2025, up from approximately $550.4 million in 2024, establishing that the app is both a relationship product and a substantial commercial business.
• Hinge, Director of Product, Growth ↗ — Hinge publicly describes a Growth organization responsible for acquisition, activation, international expansion, lifecycle engagement, and retention, useful context for the essay’s distinction between the company’s relationship mission and the ordinary growth requirements of a commercial platform.