How venture works
Black swan farming
Institutional venture optimizes for the right to win huge, not for a high hit rate of pretty-good companies.
Paul Graham called the strategy black swan farming — deliberately hunting for outlier outcomes rather than maximizing the hit rate of "pretty good" companies. Institutional funds practice the second column below. That produces behaviors that feel extreme if you expect the first.
| Strategy | Optimize for | Looks like | Breaks when |
|---|---|---|---|
| Hit-rate | Many modest wins | Avoid losers, seek "safe" growth | Aggregate returns cannot clear LP bars after fees |
| Black swan farming | Right to win huge | Accept high failure, push upside | You never get into the outliers (access, conviction, ownership) |
The big idea
Failure is priced in. Capped upside is the unforgivable sin. A partner who panics at a 40% loss rate will pass on the weird, early ideas that become the tail. The cultural failure mode is looking prudent while guaranteeing no fund returners.
Trade-off
Farming outliers raises the chance of zero and the chance of life-changing outcomes. If you want a high probability of a good-enough exit, you are optimizing a different objective than your VC. Align explicitly, or do not take the money.
Walking through what GPs then do
Knowing the power-law changes how a good GP builds a book:
- Huge markets over tidy ones. A $200M addressable market with clear customers can be a wonderful business and still un-investable for a large fund.
- High risk tolerance on product and go-to-market. Failure is expected; a ceiling is not.
- Growth over early profit when the narrative is "own the category before someone else does."
- Follow-on into winners (double down) and cut time on zombies — reserves exist for this.
- Price indifference at the extreme. Paying a "high" Series A price can still be right if the company can be a $10B outcome.
- Access beats averaging. Outliers are rare, so brand, founder networks and speed matter more than a slightly better spreadsheet of a mediocre deal.
- Conviction sizing. Some funds write flat checks; others barbell: small probes and large reserved follow-ons into the breakouts. Either way, the ex post winners get more capital.
In product and engineering meetings, "will this help us become a fund returner?" is a sharper filter than it sounds. It explains why leadership sometimes kills a beloved internal tool: the tool's NPV to customers is real, but it does not move the company toward the tail the cap table was built for.
Interview signal: if you can explain why a partner passed on a "good business" without calling them stupid, you understand venture. The pass is often "cannot return my fund," not "cannot work."
Common mistakes
- Expecting your VC to optimize hit rate. They cannot, not after fees.
- Reading "they passed" as "they think we will fail." Often they think you will succeed too small.
- Farming outliers without ownership. A 0.5% stake in a unicorn does not move a large fund.
Check yourself
What is the unforgivable sin under black swan farming?
Capped upside — a business that cannot return the fund even if it works.
Why do funds follow on into winners instead of spreading evenly?
The tail names are where the dollars are; reserves exist to double down.
Key takeaways
- Venture as practiced by institutional funds farms outliers; hit rate is not the objective.
- Access, ownership and follow-on into winners beat averaging mediocre deals.
- Looking prudent while avoiding weird early ideas is how you guarantee no fund returners.
- If that game is not yours, do not take the money.
Further learning
Black Swan Farming (Paul Graham)Black Swan Farmingpaulgraham.comNext: founder–VC misalignment.
Related
The power law
Why a few investments return the whole fund, and how that shapes what VCs fund.
Fund-returner math
At 10% ownership, one company often needs a $1B exit to return a $100M fund by itself. A $50M sale is rounding error.
Founder and VC misalignment
A $50M exit can change a founder's life and be a shrug for the fund. Know the game before you raise.