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The Survivor’s History: What The Power Law Book Gets Wrong About Venture Capital

  • Jun 25
  • 10 min read

Series: The Venture Capital Reality  |  Article 4 of 4


Prepared by Richstorm.co


 

Sebastian Mallaby’s The Power Law is a serious, well-researched book by a serious journalist. It is also, structurally, a survivor’s history. Mallaby received unprecedented access to the partners of Sequoia, Kleiner Perkins, Benchmark, Andreessen Horowitz, and Accel — the firms that produced the dominant returns in venture capital over five decades. The result is a compelling and largely accurate account of how those firms operated, what they got right, and how they shaped the technology industry.


What the book does not — and perhaps cannot — do is tell the story of the firms that failed, the funds that never returned capital, the GPs who raised Fund I and dissolved quietly, and the LPs who subsidized the industry’s learning curve with their capital. That story does not come with access. The people who lost do not give interviews.

This article uses the data assembled across this series to identify the specific ways in which the survivor’s narrative diverges from the industry’s aggregate reality — not to dismiss the book, but to read it more clearly.


Writing history from the winners’ perspective is not dishonesty. It is the inevitable consequence of who agrees to talk.


The Survivorship Bias Problem

Survivorship bias is a well-documented cognitive error: we study the survivors of a selection process and draw conclusions that we then apply to the entire population, including the non-survivors we never examined. The classic example is Abraham Wald’s World War II analysis of bullet holes in returning aircraft — the military wanted to reinforce the most-damaged areas, but Wald pointed out that the planes they were studying had survived. The missing data was the planes that did not return.


The Power Law has a structural version of this problem. Every firm Mallaby profiles in depth — Sequoia, Kleiner Perkins, Benchmark, Accel, Andreessen Horowitz — is a firm that survived multiple fund cycles, compounded its reputation through successful exits, and secured access to the best deal flow as a result of that reputation. They are not representative of venture capital. They are the top percentile of venture capital.

Writing about VC by interviewing Sequoia partners is roughly equivalent to writing about poker by interviewing only World Series of Poker champions. The strategy descriptions will be accurate. The implied win rates will not be.


What the missing data looks like

The firms absent from Mallaby’s narrative include the majority of the industry by count. A peer-reviewed study tracking VC firms active between 1980 and 2014 found that approximately 36% of firms with at least a 10-year history never raised a second fund. Less than 20% of all VC firms have demonstrated a successful long-term track record of wealth creation for their investors. The firms that populate Mallaby’s pages are drawn from that 20%. The other 80% are structurally invisible in a book built on access.


The Power Law as Validated Fact vs. Industry Narrative

The book’s central framework — that venture capital operates according to a power law, with a tiny fraction of investments generating the vast majority of returns — deserves scrutiny on its own terms. The claim has two distinct components that need to be evaluated separately.


What is empirically validated

The observed return distribution in venture capital is empirically documented. Correlation Ventures analyzed over 21,000 startup financings from 2004 to 2013 and found that approximately 65% of investments return less than the original capital, while roughly 1.5% return 50x or more — and that small fraction generates approximately 45% of total fund value. Horsley Bridge, a major LP institution, found similar concentration patterns across 7,000 investments spanning 1975 to 2014.


This distribution — extremely concentrated at the top, with a long tail of failures — is mathematically consistent with a power law distribution. Describing it as such is accurate. The underlying data is real, the concentration is real, and the implication that fund economics depend on rare outlier outcomes is a valid inference from that data.


What is interpretive framing

Using “the power law” as a governing philosophy — as Mallaby does, and as the VC industry has adopted — goes beyond description into prescription. The framing implies the distribution is stable, universal, and predictable across fund strategies, geographies, and time periods. Those implications are less clearly validated.


The Correlation Ventures data covers one specific era. Different vintage years produce different distributions depending on macroeconomic conditions, interest rate environments, and sector concentration. The distribution observed during the zero-interest-rate period of 2010 to 2021 — when capital was abundant and valuations inflated — may look materially different from distributions in higher-rate environments. The power law is an observed pattern, not a physical constant.


More importantly, the power law framing is convenient for the industry in a specific way: it provides intellectual cover for high failure rates by framing failure as mathematically inevitable rather than potentially avoidable. A GP who loses money on 65% of investments can attribute that to the power law’s inherent structure rather than to investment selection quality. The framework is not wrong, but it serves the industry’s self-presentation in ways that deserve acknowledgment.



Four Things The Power Law Underweights

1. Median fund performance

The book’s narrative is built around exceptional outcomes: Google, Apple, Airbnb, Stripe, Facebook. These are real returns generated by real investments. What receives far less attention is the aggregate performance of the asset class when you include all funds, not just the ones that produced those outcomes.


Cambridge Associates and Kauffman Foundation data consistently show that the median VC fund — after fees — returns less than a comparably timed investment in the S&P 500. The asset class looks attractive in aggregate because a small number of funds pull the average up dramatically. The typical LP experience, however, is not Sequoia’s Fund VII. It is a fund that returned 1.1x over 12 years — technically profitable, economically disappointing, and structurally inferior to a passive index over the same period.


2. The fee extraction reality

The book discusses GP economics but does not dwell on what management fees mean in aggregate for LP returns. As established in Article 2, a standard 2% annual fee on a $100M fund extracts $20M over 10 years before a single dollar is deployed. LPs must generate returns on $100M from $80M of invested capital — a 25% structural headstart for the GP that exists regardless of fund performance.


Across the industry, this fee extraction is not trivial. If there are roughly 3,000 active VC funds globally managing an estimated $3 trillion in assets, the annual management fee extraction across the industry approaches $60 billion per year — flowing to GPs whether their portfolios succeed or fail. The book’s focus on the carried interest economics of successful funds obscures the scale of guaranteed fee income that flows regardless of outcome.


3. The GP sophistication distribution

Mallaby’s subjects — Don Valentine, John Doerr, Mike Moritz, Bill Gurley, Marc Andreessen — are among the most analytically sophisticated investors in the history of the industry. They have explicitly internalized power law thinking, built portfolio construction frameworks around it, and disciplined their investment selection accordingly.


The book’s implicit suggestion is that this sophistication is characteristic of VC as a practice. The data suggests it is characteristic of the top decile of VC practitioners. The remaining 90% operate on varying combinations of intuition, pattern matching, narrative momentum, and social proof — with the power law as post-hoc justification rather than actual investment discipline. This is consistent with the finding that less than 20% of VC firms demonstrate a long-term track record of value creation. The discipline Mallaby documents is real. Its distribution across the industry is not what the book implies.


4. The LP perspective

The book is largely told from the GP’s vantage point. The LP’s experience — committing capital for 10 to 14 years, receiving quarterly reports with GP-determined valuations, watching management fees flow regardless of performance, and ultimately receiving returns that in the majority of cases do not justify the illiquidity premium — receives limited treatment.


This is partly an access problem: GPs talk, LPs are contractually bound to silence by their LPAs. But the omission creates a systematically incomplete picture. The same VC ecosystem that produced Google and Airbnb also consumed decades of pension fund and endowment capital that would have been better deployed in index funds. Both things are true simultaneously. The book tells one of them.


What The Power Law Gets Right

Intellectual honesty requires acknowledging what Mallaby’s book gets right — and it gets several important things right.


The historical narrative is genuinely valuable. The account of how Sequoia and Kleiner Perkins were built, how Arthur Rock funded Fairchild Semiconductor and Apple, how Benchmark made its Uber investment, and how the Silicon Valley network compounded over decades is accurate, well-sourced, and not available in comparable detail anywhere else. For anyone seeking to understand how the VC industry’s dominant firms actually operated, the book is indispensable.


The core insight — that established VC firms benefit from compounding information and relationship advantages built over decades — is also correct and underappreciated. The same people rotate between founder, angel, LP, and GP roles across careers, which means top firms see more deals, see them earlier, and can reference-check founders through multiple trusted nodes simultaneously.


This is a genuine structural advantage at the firm level. But it is worth being precise about what it explains: it explains why established firms see better deal flow earlier — not why their portfolio companies succeed. Bessemer Venture Partners, one of the most networked firms in the industry, maintains a public anti-portfolio that includes Google, Apple, Facebook, eBay, and PayPal — all passed on despite full access. The network is an evaluation advantage, not a success guarantee.


What Mallaby’s book does not examine carefully is how founders actually enter that network in the first place. The evidence from the most successful VC-backed companies suggests four documented pathways — none of which require pre-existing top-tier connections.


  • Accelerators. Y Combinator and Techstars grant network access to founders who have none. Airbnb and Stripe both entered the top VC network through YC — not through prior relationships. The gateway is the product and team, not who you already know.

  • Prior exit or track record. Travis Kalanick’s Red Swoosh was acquired by Akamai for $19M. That exit was his entry ticket into the VC community that backed Uber. A prior outcome — even a modest one — substitutes for relationship capital.

  • Elite university proximity. Stanford, MIT, and Harvard create natural proximity to investors and fellow founders. The Google founders were Stanford PhD students; Zuckerberg was at Harvard. This is the least democratic pathway — it requires access to institutions most people cannot enter.

  • Demonstrated traction. A company with real revenue and measurable growth can attract investors without prior relationships. Shopify had 81% year-over-year customer growth before Bessemer found them in Ottawa. This is the most merit-based and universally accessible pathway.


Network access is a near-prerequisite for the top-tier VC evaluation process. But the network is not a closed club — it is accessible through multiple pathways open to almost any founder willing to build something worth showing. What the network cannot do is make a weak product fundable. What it can do is determine how long a strong product takes to reach the right evaluation.


And the power law data itself is real. The return concentration that Mallaby uses as his organizing framework is empirically documented. The book did not invent it. It described it accurately and made it accessible to a broad audience. That is a genuine contribution.


How to Read VC Narratives: A Framework

The Power Law is one prominent example of a genre: the VC success narrative. This genre includes firm histories, partner memoirs, accelerator origin stories, and the vast majority of VC media coverage. Applying a consistent analytical framework to these narratives produces a clearer picture than accepting them at face value.


These questions apply equally to VC fund marketing materials, GP interviews, and industry publications. The goal is not skepticism for its own sake but proportionate confidence — weighting claims by the quality of evidence behind them.


The Honest Picture of Venture Capital

Across this four-article series, the evidence supports the following conclusions — stated at the confidence level the data warrants.


What is well-supported

  • Return concentration is real. The top 1.5% of investments generate roughly 45% of fund value. This is documented across multiple large datasets.

  • Median VC underperforms public markets. After fees and illiquidity, the median VC fund produces returns below the S&P 500 over comparable time periods.

  • Most VC firms do not survive. Approximately 36% of firms with a 10-year history never raised a second fund. Less than 20% demonstrate long-term track records of LP value creation.

  • The rejection funnel is severe and not purely meritocratic. Network access, timing, and narrative fit influence funding outcomes independent of company quality.

  • Management fees create a structural GP-LP misalignment. GPs collect guaranteed income regardless of fund performance, creating incentives that do not always serve LP interests.


What is plausible but less precisely measured

  • Top-quartile VC funds generate returns that justify the illiquidity premium. The evidence supports this for the top decile; the precise boundary of the top quartile is less clear.

  • GP sophistication in applying power law thinking is concentrated at the top of the industry. Consistent with survival data but not directly measured across the full GP population.

  • The power law distribution is stable across eras and strategies. Directionally plausible but based on data from specific time periods; may vary significantly by vintage year and macro environment.


What the survivor’s narrative asserts but data does not support

  • VC is a superior asset class for most investors. It is superior for LPs with access to top-quartile funds. It is not superior for LPs in median funds, which is the more common experience.

  • High failure rates reflect the power law rather than selection quality. The power law math accepts failure as a portfolio construction reality. It does not make any specific failure rate inevitable or optimal.

  • The practices of top VC firms are representative of the industry. They are representative of the industry’s best outcomes, not its typical practice.

 

Closing the Series

The four articles in this series have examined venture capital from the inside out — from the mathematical structure of returns, through the contractual architecture of fund economics, through the brutal arithmetic of the rejection funnel, and finally through the gap between how the industry narrates itself and what the aggregate data shows.


The picture that emerges is neither the triumphalist narrative of The Power Law nor a simple indictment of the industry. Venture capital genuinely funded transformative companies. The incentive structures and concentration of talent that produced Google, Airbnb, and Stripe are real and worth understanding. The top firms in the industry are genuinely exceptional. And the products those companies built — not the networks that funded them — are ultimately what created the value.


But the industry also consumes enormous quantities of LP capital at median returns that do not justify the fees and illiquidity demanded. It selects founders through a funnel that measures network access and narrative fit alongside company quality. It provides its own GPs with guaranteed income streams that persist regardless of LP outcomes. And it narrates itself almost exclusively through its survivors.


Understanding both sides of that picture — the genuine value creation and the structural misalignments — is the prerequisite for engaging with venture capital clearly, whether as a founder seeking funding, an LP evaluating funds, or an investor trying to understand what VC-backed companies are actually worth.

 

Series: The Venture Capital Reality  —  Complete

Article 1 — The Power Law: Why VC Math Defies Common Sense

Article 2 — The LP/GP Relationship: Who Really Bears the Risk

Article 3 — The Rejection Funnel: What Getting VC Funded Actually Looks Like

Article 4 — The Survivor’s History: What The Power Law Book Gets Wrong

 

RichStorm LLC is a science-first investment analysis publication. All content is for informational purposes only and does not constitute investment advice. See richstorm.co/disclaimer for full disclosures.

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