Resources · The Backstory · 2026-05-16

bs001 25:14 2026-05-16

The Nobel Prize Winners Who Nearly Broke the World

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The Backstory — The Nobel Prize Winners Who Nearly Broke the World

2026-05-16 | Episode bs001

The Hook

Two men won the Nobel Prize for inventing the formula that prices risk in financial markets. Then they used that exact formula to build a hedge fund and nearly collapsed the global financial system in under four years. The irony isn't subtle: they were so confident in their ability to measure risk that they became the biggest risk.

Key Players

  • John Meriwether — A bond trader with a chip on his shoulder who recruited Nobel laureates to prove he was smarter than the market—and nearly proved himself right at the cost of the global financial system.
  • Myron Scholes — A man who won the Nobel Prize for understanding risk, then spent four years proving he didn't understand it at all.
  • Robert Merton — The other Nobel laureate who believed so deeply in the mathematics that he couldn't see the mathematics was lying.
  • Alan Greenspan — The man who believed markets self-correct, until they didn't, and then organized a private rescue that taught the market that genius is too big to fail.

The Lesson

For traders: LTCM proves that leverage isn't a tool—it's a liability. When you're right 95% of the time and wrong 5% of the time, leverage turns that 5% into a total wipeout. More specifically: if your edge depends on a model that assumes normal distributions, liquid markets, and rational actors, you're not hedged against the scenarios that actually destroy funds. The real risk isn't what the formula says it is. It's what happens when everyone tries to exit the same trade at the same time. Size yourself not for what the model says is the worst case, but for what happens when the model is completely wrong.

For PMs: LTCM is a cautionary tale about the danger of letting your internal model become more real to you than external feedback. The fund had all the data it needed to see the risk—the leverage ratio, the concentration of positions, the assumptions built into the model. But the model said they were safe, so they dismissed the warnings. As a PM, your job is to build conviction in your product's direction, but not so much conviction that you stop questioning your assumptions. The smarter your team is, the more dangerous this becomes. Smart people are very good at rationalizing why they're right. Build in mechanisms to force yourself to stress-test your core assumptions, especially when everything is working.

The Line

The formula that's supposed to protect you from disaster became the blueprint for disaster—because the inventors trusted the map more than the territory.

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