u/Icy-Drawer5856

Dentistry seems like perhaps the cleanest example of what I’ve been calling the two-balance-sheet problem. This isn’t about someone pretending to be successful. “Dentist” is a real credential, real skill and usually a strong income. The issue is that the title still carries an inherited presumption of wealth even though it may now conceal enormous variation in the actual financial position.

Average educational debt among indebted recent dental graduates is roughly $298,000. That is the average among borrowers, not the tail. Graduates of high-cost programs, especially with undergraduate borrowing and accumulated interest, can wind up at $400,000–$500,000, and extreme cases can reach $600,000–$800,000. Meanwhile another dentist of the same age and income may have graduated with family assistance, aggressively repaid loans, accumulated investments or acquired practice equity. On a dating profile, both simply say “Dentist.”

IDR can make the divergence even larger psychologically. At $600,000 and 7%, annual interest is about $42,000. If required payments are only $18,000, someone can make every required payment while principal remains enormous or, under some structures, grows. Other repayment systems suppress that growth or contemplate forgiveness, but then the strategy depends materially on future government repayment policy. Over enough time, it can become rational to view the payment—not the principal—as the operative liability. Someone raised to believe debt is gravity and every dollar of principal must ultimately be extinguished may regard that mindset as more concerning than the original degree cost.

I’m therefore curious about disclosure in dating. Nobody needs to lead a first date with a loan statement. But if a dentist carrying $400,000 or $600,000 knows the number could materially affect another person’s willingness to marry them, when does the prospective spouse deserve the full balance and strategy? Six weeks? Exclusivity? When marriage first gets discussed? Waiting until engagement seems potentially dangerous because the issue can shift from debt to trust.

That matters because shame and financial secrecy are common. Surveys cited in the longer piece find around two in five partnered adults reporting some financial secrecy, with embarrassment, privacy and fear of disapproval among common explanations. I can understand why somebody who worked extremely hard for a prestigious credential would feel embarrassed that the private balance sheet does not resemble what outsiders assume from the title. But intentionally waiting because someone might decline creates a difficult ethical problem.

Longer piece: The Two Balance Sheets
https://open.substack.com/pub/dljlevfin/p/the-two-balance-sheets

Dentists and spouses/partners: what have you actually encountered? How large was the debt? When was it disclosed? Was the bigger surprise the principal, lack of savings, IDR strategy, practice debt, family obligations or lifestyle? Did the partner accept it? And if disclosure happened late, did the timing itself cause more trouble than the number?

I spent the last several months trying to understand why online dating appears to produce so much frustration despite giving people access to vastly more potential partners than any previous matching system.

I eventually came to think the interesting explanation isn't primarily cultural or gender-specific. It's a market-design problem.

The starting point is thickness.

Matching markets generally benefit when more participants enter because the probability of finding a compatible counterparty rises. But beyond some point thickness produces congestion: too many potential transactions, inadequate mechanisms for evaluating them, and difficulty sending credible signals through the resulting noise.

Dating apps appear to combine several features that make this unusually severe:

1. The market is heavily asymmetric.

The large heterosexual platforms have substantially more men than women. That creates scarcity on one side and congestion on the other.

The same marketplace is therefore experienced as two almost opposite products.

2. Signaling is nearly costless.

A swipe or like carries almost no cost.

When expressing interest is cheap, broadly signaling interest can become individually rational. But aggregate cheap signaling destroys information content.

The receiving side then gets more approaches but less information about which approaches represent serious intent.

3. Congestion changes selection behavior.

Experimental research on online dating has found that continued exposure to large sets of potential partners makes participants progressively more rejecting.

In randomized experiments, acceptance probability fell roughly 27% from the first potential partner shown to the last.

The options themselves weren't getting worse.

Exposure to the option set changed the decision-maker.

This is the part I find most interesting: abundance can reduce successful selection rather than improve it.

4. The scarce side adapts too.

When matches become difficult to obtain, the rational response isn't necessarily to continue evaluating every match as a potential long-term partner.

A scarce match can be reclassified into a lower-commitment interaction.

So the congested side becomes more selective while the scarce side becomes less willing to treat the matches that clear as serious candidates.

Neither side needs to be behaving irrationally or maliciously.

Each side is responding rationally to its own incentives.

Yet the aggregate market clears worse.

5. The intermediary has a peculiar objective function.

Historically, intermediaries in courtship—friends, family, community, school, church, neighborhood—had reputational exposure to the outcome.

Modern platforms largely disintermediated those institutions.

But the replacement intermediary has an unusual economic characteristic:

Its revenue is earned while the search continues.

A successful terminal match removes two customers from the market.

That doesn't require anyone inside the company to deliberately prevent successful relationships. It simply means that engagement and successful clearing point in different directions as optimization targets.

6. We therefore measure almost everything except clearing.

Dating companies can measure registrations, active users, likes, matches, conversations, retention, payers and revenue per payer with enormous precision.

What remains remarkably difficult for an outsider to determine is the obvious denominator:

What percentage of people entering the system successfully leave it because they found the durable relationship they wanted?

Hinge is the especially interesting case because the brand promise is literally Designed to Be Deleted.

Yet the public operating metrics overwhelmingly measure people remaining, returning, engaging and paying.

There is some offline feedback—Hinge's "We Met" feature can ask whether a match produced a date and whether someone wants another date—but that is very different from longitudinally measuring relationship formation, duration, permanent successful exits and reactivation after dissolution.

That brought me to a broader hypothesis:

The public "gender war" around online dating may partly be the social symptom of a market-design failure.

Two populations experience radically different sides of the same mechanism.

Both possess accurate information about their own experience.

Neither sees the system producing the other side's experience.

So each concludes that the other population is the problem.

I ended up writing a much longer piece tracing this through matching-market economics, signaling theory, behavioral psychology, the history of courtship, the disappearance of social intermediaries, and eventually the financial statements of Match Group.

The last part became a public-equity short thesis because I realized the sociology generates financial predictions.

If the underlying marketplace is structurally impaired, eventually I would expect to see:

• payer attrition;
• heavier monetization of the participants who remain;
• difficulty expanding the total category;
• growth increasingly sourced from geographic expansion rather than deeper successful adoption;
• and eventually a lower terminal valuation for the companies operating it.

That makes the public company an interesting way of putting an otherwise difficult sociological hypothesis under an empirical clock.

The full essay and sources are here:

https://dljlevfin.substack.com/p/the-undisclosed-denominator

I'm especially interested in criticism of the behavioral mechanism rather than the stock call.

Where does the causal chain break?

Is congestion actually the right framework?

Does cheap signaling necessarily degrade matching efficiency here?

And most importantly: what metric would you use to distinguish a dating marketplace that generates enormous engagement from one that actually clears successfully?