Positive vs. Negative Black Swans: Know Your Domain

Not all Black Swans are equal. This is the insight that most people miss, and it is the difference between a strategy that works and a strategy that blows up.

Some domains are shaped by negative Black Swans — surprise costs far more than any gain could recover. Banking, insurance, nuclear power plants. In these domains, a single catastrophic event can destroy the entire enterprise. The tail risk dominates everything.

Other domains are shaped by positive Black Swans — surprise gains far exceed any loss that could occur. Book publishing, venture capital, scientific research. In these domains, a single breakthrough can fund years of failures. The upside tail dominates.

The mistake is running the two domains with the same strategy. Run a bank like a movie studio and the bank dies. Run a publishing house like a bank and it starves. The strategy must match the domain's Black Swan asymmetry.

The Banker and the Publisher: A Study in Asymmetry

A commercial banker's job is to make many small bets that mostly pay off. Loans to creditworthy customers who repay them. A banker might make a thousand loans, 995 of which perform perfectly, four of which result in partial losses, and one of which is a total loss.

The banker's tail risk is negative. A single catastrophic default — a systemic banking crisis, a major borrower collapse, a run on deposits — can wipe out the entire institution. The best case in a loan is a 5% return. The worst case is a 100% loss. Asymmetric in the wrong direction.

No amount of winners can offset a sufficiently large loser. The banker cannot say "we made 1,000 good loans, so one bad loan is fine." One bad loan of sufficient size is catastrophic.

A publisher's job is to make many bets, most of which fail, some of which succeed modestly, and a tiny fraction of which become bestsellers that fund everything else.

The publisher's tail risk is positive. Most books lose money or barely break even. A few thousand copies of a mid-list title produce modest returns. But one book becomes a generational hit that sells millions of copies, generates derivative revenue through film rights and merchandise, and funds years of losses on other titles.

The best case in a book is unlimited upside. The worst case is a modest loss. Asymmetric in the right direction.

The Strategy Must Fit the Domain

Because the domains have opposite asymmetries, the optimal strategies are opposite.

For the banker (negative Black Swans): Defense is everything. - Redundancy in lending: diversify across many small loans rather than concentrating exposure. - Conservative underwriting: require high standards, large margins of safety. - Avoidance: some deals are too risky regardless of the potential return; pass. - Insurance and hedging: buy insurance for tail risks; structure positions to protect against catastrophe. - Slack: hold capital reserves far in excess of the minimum required.

The banker must optimize for not losing, not for winning big. The goal is to survive every tail event, not to profit from the best case.

For the publisher (positive Black Swans): Offense is everything. - Broad exposure: publish many books, including weird ones that might be hits. - Risk tolerance: some books will lose money; that's fine if a hit covers them. - Tinkering: willingness to try new formats, new genres, new marketing approaches. - Serendipity: stay open to unexpected successes, be willing to double down on them. - Thinness: avoid excess overhead that protects against failure; lean structures survive by being lean, not by having redundancy.

The publisher must optimize for not missing the hit, not for avoiding failure. The goal is to capture the positive surprise, not to protect against the downside.

The Ethical Failure of 2008: Asymmetric Incentives

The financial crisis exposed the clearest violation of this principle. Banks were structured as if they faced positive Black Swans when they actually faced negative ones.

Bank executives took enormous risks, earning bonuses during good years that exceeded the losses in bad years. The upside was privatized (executives' bonuses, shareholder returns). The downside was socialized (taxpayer bailouts).

This is running the bank like a movie studio: betting aggressively on upside, accepting failure as part of the process, and leaving the losses for others to absorb.

It worked for the executives. They earned massive bonuses in the good years. When the catastrophic year arrived, they were bailed out. They kept their bonuses. The public absorbed the losses.

This is not merely inefficient. It is ethically catastrophic and systemically fragile. It inverts the alignment between the people making decisions and the people bearing the consequences. The result was an accumulation of hidden tail risk that, when it erupted, required emergency interventions at scales never before contemplated.

The lesson: who bears the downside determines the optimal strategy. If executives bear the downside, they optimize for defense. If executives bear only the upside and the public bears the downside, they optimize for offense at any cost. The second system accumulates fragility.

Domain Examples and Their Asymmetries

Here are common domains and their dominant Black Swan type:

The point is not that one strategy is always better. The point is that the strategy must match the domain. Many failures occur because people apply the wrong strategy to their domain.

The Startup Dilemma: Optimizing for Top 1%

A venture-backed startup faces positive Black Swans. The best case is a billion-dollar exit. The worst case is failure and zero return to investors.

The optimal strategy seems obvious: optimize for the top 1% outcome. Even if it raises the probability of bankruptcy. Even if it means the "average" outcome (weighted by probability) is a loss.

Here's why: if there's a 90% chance of failure and a 10% chance of a billion-dollar exit, the expected value of the second outcome dwarfs the expected value of the first. Optimizing for survival (which would lower failure probability to 20% but also lower the upside) actually decreases expected returns.

The founder who tries to make everyone happy — building a modestly safe product with modest growth for the median customer — usually ends up in the "fat middle" where the Black Swan does not live. Bankrupt or stagnant. Neither success nor spectacular failure, but slow death.

The founder who optimizes aggressively for the top 1% — takes risks, pursues the aggressive strategy, stays in the game through multiple pivots and uncertainties — is positioned to capture the positive Black Swan.

This is counterintuitive. It suggests that startups should be more reckless, not less. And in some sense, yes. But the recklessness is rational if you understand the domain's asymmetry.

The Screenwriter vs. The Dentist: Different Games

A screenwriter has access to positive Black Swans. One script sold to a studio could pay $500,000 or more. That single sale would fund years of lean living.

A dentist has access to steady income but not to massive upside. Excellent dentistry might earn $300,000 a year; the ceiling is not much higher.

For the screenwriter, the optimal strategy is to optimize for the hit. This means living cheaply through long lean periods, turning down stable jobs that would provide security but would also consume the time and energy needed to write, staying in position for the moment when a script sells.

A screenwriter who takes a secure job, works 40 hours a week, and tries to write on weekends is running the screenwriter game like the dentist game. This lowers the probability of ever writing the script that sells. It is rational if you want security; it is irrational if you want the hit.

Conversely, a dentist trying to run the dentist game like a screenwriter — taking huge risks, optimizing for upside, accepting a 50% chance of ruin for a 1% chance of massive wealth — is gambling with a game that doesn't have the asymmetry to support it.

Know which game you're playing and optimize accordingly.

The Great Asymmetry: Why This Matters

The great insight is that the world contains both types of domains, and the optimal strategy in each is inverted. This has several practical consequences:

First: Don't mix strategies. A person who tries to apply screenwriter optimization (high variance, hunt for the hit, accept failure) to a dentist career (stable, reliable, incremental growth) will underperform. Conversely, a person who applies dentist optimization (risk-averse, defensive, avoid catastrophe) to a screenwriter career will fail to capture the hit.

Second: Choose your domain knowing its asymmetry. If you want wealth and growth, you need a positive Black Swan domain. If you want stability and low downside, you need a domain where negative Black Swans dominate and defense works.

Third: Structure incentives to align with the domain's asymmetry. If the domain faces negative Black Swans, the person making decisions must bear the downside. If the domain faces positive Black Swans, the person making decisions must be positioned to capture the upside.

Fourth: When you're in a positive Black Swan domain, don't optimize for the median outcome. Optimize for the tail. When you're in a negative Black Swan domain, don't optimize for the best case. Optimize for survival.

Summary

Black Swans are not all equal. Some domains are shaped by catastrophic downside; others are shaped by exceptional upside. The strategy that works in one domain destroys you in the other.

Understanding which domain you're in is the first step. Aligning your strategy, your tolerance for risk, your capital allocation, and your personal positioning to match the domain's asymmetry is the second.

The banker who runs the bank like a publisher goes bankrupt. The publisher who runs the publishing house like a bank starves. The screenwriter who optimizes for security never writes the hit. The dentist who optimizes for the Black Swan takes irrational risks.

Know your domain. Know its asymmetry. Align your strategy accordingly. The people who win are those who understand which game they're playing and have the discipline to play it optimally for that game's rules.