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Saraban Tahura Turin
GP, Turtle Venture Studio
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Saraban Tahura Turin
Saraban Tahura Turin
Saraban Tahura Turin
Saraban Tahura Turin
Saraban Tahura Turin
GP, Turtle Venture Studio
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The power law in venture capital: the maths behind every portfolio

November 6, 2026 LP Education by Saraban Tahura Turin
The power law in venture capital: the maths behind every portfolio
LP education

In a venture portfolio, a handful of companies usually produce most of the returns. That is not a slogan. It is how the distribution of outcomes works.

You cannot predict the outlier. You can build a portfolio that gives outliers room to appear.

By Saraban Tahura TurinTurtle Venture StudioFramework4 min read
~65%Share of venture financings that return less than 1x (Correlation Ventures)
~5%Share that return 10x or more (about 4%, Correlation Ventures; about 6%, Horsley Bridge)
~60%Share of total returns from those top deals
20-30Typical companies in an early-stage portfolio

The power law in venture capital means returns are not spread evenly across investments. A few outliers generate most of the value, while many investments return little or nothing. Data from firms such as Correlation Ventures and Horsley Bridge has shown roughly two-thirds of venture financings return less than the capital invested, while a small minority returning ten times or more drive the majority of gains.

This guide explains what that means for portfolio size, follow-on decisions and how investors should evaluate managers.

In this deep dive

  1. What the power law in venture capital looks like
  2. Lesson one: portfolio size matters
  3. Lesson two: losses are capped, gains are not
  4. Lesson three: follow-on decisions concentrate returns
  5. How the power law in venture capital changes manager selection
  6. Common misreadings of the power law
  7. Frequently asked questions

What the power law in venture capital looks like

Here is an illustrative 25-company early-stage portfolio with equal initial cheques. The numbers are hypothetical, chosen to show the shape of a typical distribution.

Illustrative outcome distribution
Outcome groupCompaniesMultiple on costShare of total value
Outliers220-40xAbout 65%
Strong performers43-6xAbout 20%
Base hits71-2xAbout 12%
Partial losses and write-offs120-0.5xAbout 3%
Hypothetical portfolio for illustration only.

Share of portfolio value by group (illustrative)

Outliers (2 companies)65%
Strong performers (4)20%
Base hits (7)12%
Losses (12)3%

Lesson one: portfolio size matters

If outliers are rare, a small portfolio may simply miss them. Holding more companies raises the probability that at least one outlier is included. The effect is strongest when moving from a handful of companies to twenty or more; beyond about thirty, each extra company adds less.

Chance of holding at least one outlier (illustrative)
Companies in portfolioIf 5% of companies become outliersIf 10% become outliers
523%41%
1040%65%
2064%88%
3079%96%
Calculated as 1 − (1 − p)^n, assuming independent outcomes. Real outcomes are correlated, so treat these as upper bounds.

Lesson two: losses are capped, gains are not

The most an investment can lose is its cost. The most it can make has no fixed ceiling. That asymmetry is why venture managers tolerate many failures: one company returning 30 times its cost can cover a dozen write-offs and still produce an excellent fund.

Downside per company

-1x

The worst case is losing the amount invested.

Upside per company

30x+

A single outlier can return the whole fund several times over.

Lesson three: follow-on decisions concentrate returns

Because outliers drive the result, how much capital ends up in them matters as much as picking them. Funds keep reserves to invest more in their best companies in later rounds, which we cover in our guide to reserve strategy.

  • Without reserves, a fund’s stake in its best company shrinks with each new round.
  • With reserves, the fund can maintain or increase ownership where it matters most.
  • The hard part is deciding early, often within two years, which companies deserve more.

How the power law in venture capital changes manager selection

What to ask a manager
QuestionWhy it matters under a power law
How many companies will the fund hold?Too few, and outliers may be missed
What share of capital is reserved for follow-ons?Determines how much the fund benefits from its winners
How do you decide where to follow on?Shows discipline, not just enthusiasm
Which past companies drove most of your returns?Tests whether results come from one lucky deal
How do you source deals others do not see?Outliers are often found before they are obvious

The key takeaway for investors

Individual company selection is largely unpredictable. Manager selection is where investors have more control: sourcing, judgement, support and follow-on discipline are visible and testable.

Common misreadings of the power law

  • “So any portfolio will do.” No. More companies only help if each has a genuine chance of becoming an outlier. Diversifying into weak deals adds losses, not lottery tickets.
  • “Failures do not matter.” They do. Each write-off is capital that could have gone to a winner. Good managers still aim to reduce avoidable failures.
  • “Only billion-dollar exits count.” In smaller funds, a company returning 20 times its cost can drive the whole result, even if its exit value is modest.
  • “Angels can replicate this alone.” An individual investing in three or four companies is far less likely to hold an outlier than a fund holding 25, unless they keep investing steadily over many years.

The power law in venture capital is often used to justify risk-taking. Used properly, it is a discipline: it tells you to hold enough companies, reserve enough capital for winners, and judge managers on how they handle both.

You cannot predict which company becomes the outlier. You can choose portfolio size, reserves and managers that give the power law room to work.

Frequently asked questions

What is the power law in venture capital?

It is the pattern where a small number of investments generate most of a fund’s returns, while many investments return little or nothing.

How many companies should a venture portfolio hold?

There is no single answer, but early-stage funds commonly hold 20-40 companies to give themselves a reasonable chance of including outliers.

Why do venture funds keep reserves?

To invest more in their best-performing companies in later rounds, which concentrates capital where the power law says most returns will come from.

Do most private investors you know fully appreciate how the power law shapes the return they should expect from venture?

Share your view in the comments. This post is part of a 50-part series on fintech in South and Southeast Asia; see the full series index.

Keep reading

  • Venture fund reserve strategy: the maths of following on
  • IRR vs MOIC vs DPI: what each venture fund metric tells you, and what it hides
  • Pre-seed valuation in emerging markets: why entry price decides the outcome

Sources

  • Correlation Ventures, venture return distribution research
  • Kauffman Foundation, venture capital research
  • Cambridge Associates, venture capital benchmark research
  • Carta, data on fund performance and fundraising

This article is for information and education only. It is not investment, legal or tax advice, and it is not an offer to sell, or a solicitation of an offer to buy, any security or interest in any fund. Market figures come from the third-party sources listed and may change; please check the original sources.

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