Saying that curing diseases is a bad business model is like saying discovering the world's largest gold mine would be a bad business because you'd eventually run out of gold. The underlying argument doesn't make sense.
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> Do. the. math. and. think.

OK then, where's your math?

tptacek is right, this whole discussion is silly because it revolves around what exactly "bad" means which is subjective. But if you want to really do calculations about this, you'd need to price out total expected revenue over your time preference window for each scenario. It's not at all obvious which one would win because it depends on at least these variables and probably more:

1. Over what time period you care about. "You" here means a hypothetical pharma executive who cares about his/her incentives. If symptom management makes a billion dollars repeatedly but each billion takes 200 years, and a cure makes a billion dollars once but in five years, nobody rational will want to sell symptom management.

2. Related to (1) what expected market returns are in future.

3. What price premium you can charge for a cure vs symptom management. The former is more valuable to customers.

4. How fast competitors can catch up. Imagine you find both symptom management and a cure for disease X. You keep the cure a secret and bring the subscription to market (for a price much less than what a cure would command). Six months later a competitor releases a cure, simultaneously wiping out your market and capturing all the immediate revenue. That would have been a bad move.

You asked “where’s your math” and then somehow produced a reply with zero math in it. Not even a crude expected-value calculation. Just variables floating in space. So let me show you what the actual math looks like and why your argument falls apart the moment numbers enter the room.

You brought up time preference. Fine. The real comparison isn’t “200 years vs 5 years” because nobody is modeling revenue over two centuries. The real comparison is that chronic therapies have stable, recurring revenue over a long period while a cure gives you one spike and then destroys your own future customer base. If a chronic therapy earns $6,000 a year per patient for, say, 30 years, that’s $180,000 of lifetime revenue per patient before discounting. A realistic cure might command around $60,000 once. Even before discounting, the chronic model is triple the revenue. When you discount future cashflows, chronic still wins because its revenue stream is stable, protected, and repeatable. That’s the math. No handwaving required.

Expected market returns don’t mysteriously rescue cures. They’re already baked into NPV calculations. Chronic therapies have lower revenue volatility, lower development risk, more predictable reimbursement, and better protection from substitutes. The discount rate is effectively lower because the cashflow is more reliable. That’s why any competent finance team values the chronic model more highly. This isn’t a subjective opinion. It’s just how discounted cashflow works.

Your “price premium” angle also collapses once you actually compare markets rather than per-unit price. Yes, a cure could theoretically be priced higher than a monthly pill. But cures annihilate their own future market. Chronic therapies don’t. Charging $100k once is meaningless if the market you just wiped out used to pay $6k per year for decades. Chronic revenue behaves like a long linear stream. Cure revenue behaves like a front-loaded exponential decay curve. That decay is unavoidable because your successful product eliminates the future need for itself.

Your competition scenario reverses reality. If a competitor can release a cure six months after you, then your own cure had no durable pricing power anyway. Fast follow-on competition obliterates high cure pricing immediately. A cure without monopoly protection has an NPV close to zero because payers always push prices toward marginal cost. Chronic therapies are exactly the type of product where competitive moat, reimbursement stickiness, and prescriber habits create long defensible streams of cash. Again, this is not “subjective.” It’s what actually happens.

And none of this even touches the development side. Investors don’t compare “cure vs cure.” They compare “cure vs chronic,” holding the development cost and probability of failure constant. The expected value formula is simple: EV = p · NPV(revenue) – cost. Since the NPV of chronic therapy revenue is larger in almost every major disease category, the expected value is larger too. This is why cures are pursued only in categories where chronic therapy isn’t viable or the patient population is too small to sustain lifetime sales anyway.

So no, the entire debate isn’t “subjective” and it doesn’t hinge on the mood of a hypothetical pharma executive. It’s math. People call cures a bad business model because superior business models exist and capital flows toward the model with the higher expected return. Chronic care has a structurally higher expected return because the revenue is larger, lasts longer, and is harder to compete away. You can argue about the ethics if you want. But the financial comparison isn’t ambiguous.

You asked for math. Here it is.

Can you not paste LLM output here? Thanks.
It’s not. Can you not go around making up fucking shit and baselessly accusing people of posting LLM output? Thanks.

It very obviously is. You went from using normal-person quotation marks to fitted quotes in the span of one message, you have a Unicode multiplication dot, and things like

Again, this is not “subjective.” It’s what actually happens

This isn’t a subjective opinion. It’s just how discounted cashflow works.

You can argue about the ethics if you want. But the financial comparison isn’t ambiguous.


Your paste doesn't even use a normal keyboard minus sign:

|nue) ... cost. S|

Another tell is how much of the quote isn't responsive to the whole thread context, just Hearn's immediate message. I'll add that it doesn't even manage to rebut Hearn!

(Feel free to compare this to your own writing style to get some clarity for what to fix up next time before pasting LLM output).

https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

Later

In case you were typing while I updated this, the first version of this comment didn't notice your minus sign, but it stuck out to me and when I checked it was so funny you used an en-dash I couldn't not include it.

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