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The iconic VC-Backed founders are all White & Asian men. So why invest in diversity?

(co-written with Katherine Boe Heuck, a MBA candidate at MIT Sloan (class of 2022); past intern at Versatile VC; and a current intern at Metaprop NYC.)

What can we learn from the best 40 venture capital investments of all time? Well, we learn to invest exclusively in men, preferably white or Asian. 

We reviewed CB Insights’ global list of “40 of the Best VC Bets of all Time.” All of the 40 companies’ 92 founders were male.

  • Of the 43 U.S.-based founders, 35 were white* American; four were white immigrant/first generation, from France, Ukraine, Russia and Iran; and four were Indian immigrant/first generation.
  • Of the 19 Western Europe/Israel-based founders, all were white.
  • Of the 30 Asia-based founders, all were natives of the country in which they built their businesses: 23 Chinese, three Japanese, two Korean and two Indian.

Of course, this dataset is incomplete. There are numerous examples of founders from underrepresented backgrounds who have generated extremely impressive returns. For example, Calendly’s Tope Awotona is Nigerian American; Sendgrid’s Isaac Saldana is Latinx; and Bumble’s Whitney Wolfe Herd is the second-youngest woman to take a company public. 

That said, the pattern in the dataset is striking. So, why invest in anyone who’s not a white or Asian male?  

The conventional answer is that diversity pays. Research from BCG, Harvard Business Review, First Round Capital, the Kauffman Foundation, and Illuminate Ventures shows that investors in diverse teams get better returns:

  • Paul Graham, cofounder of Y Combinator (2015): “Many suspect that venture capital firms are biased against female founders. This would be easy to detect: among their portfolio companies, do startups with female founders outperform those without? A couple months ago, one VC firm (almost certainly unintentionally) published a study showing bias of this type. First Round Capital found that among its portfolio companies, startups with female founders outperformed those without by 63%.”  
  • Kauffman Fellows Report (2020): “Diverse Founding Teams generate higher median realized multiples (RMs) on Acquisitions and IPOs]. Diverse Founding Teams returned 3.3x, while White Founding Teams returned 2.5x. The results are even more pronounced when looking at the perceived ethnicity of the executive team. Diverse Executive Teams returned 3.3x, while White Executive Teams only returned 2.0x. As mentioned above, we report realized multiples (RMs) only for successful startups that were acquired or went through the IPO process.”
  • BCG (June 2018): “Startups founded and cofounded by women actually performed better over time, generating 10% more in cumulative revenue over a five-year period: $730,000 compared with $662,000..”
  • BCG (January 2018):  “Companies that reported above-average diversity on their management teams also reported innovation revenue that was 19 percentage points higher than that of companies with below-average leadership diversity — 45% of total revenue versus just 26%.”
  • Peterson Institute for International Economics (2016): “There is a statistically significant positive correlation between female leadership (C-Suite and board) and net margin and gross margin company profitability”, among a global dataset of 22,000 publicly traded companies.  “For example, a profitable firm at which 30 percent of leaders are women could expect to add more than 1 percentage point to its net margin compared with an otherwise similar firm with no female leaders. By way of comparison, the typical profitable firm in our sample had a net profit margin of 6.4 percent, so a 1 percentage point increase represents a 15 percent boost to profitability.”

How do we reconcile these two sets of data? Why are all of the VC home runs from white men, or Asian men in Asia, plus a few Asian men in the U.S.?

First Round did not include their investment in Uber in their analysis we reference above on the grounds that it was an outlier. Of course, one could rebut that by saying traditional VC is all about investing in outliers:

  • Seth Levine analyzed data from Correlation Ventures (21,000 financings from 2004-2013) and writes that “a full 65% of financings fail to return 1x capital. And perhaps more interestingly, only 4% produce a return of 10x or more, and only 10% produce a return of 5x or more.” In Levine’s extrapolated model he found that in a “hypothetical $100M fund with 20 investments, the total number of financings producing a return above 5x was 0.8 – producing almost $100M of proceeds. My theoretical fund actually didn’t find their purple unicorn, they found 4/5ths of that company. If they had missed it, they would have failed to return capital after fees.”
  • Benedict Evans observes that the best investors don’t seem to be better at avoiding startups that fail. “For funds with an overall return of 3-5x, which is what VC funds aim for, the overall return was 4.6x but the return of the deals that did better than 10x was actually 26.7x. For >5x funds, it was 64.3x. The best VC funds don’t just have more failures and more big wins — they have bigger big wins.”

The first problem with the outlier model of investing in VC is that it results in, on average, poor returns and is a risker proposition compared to alternative models.  The Kauffman Foundation analyzed their own investments in venture capital (100 funds) over a 20-year period and found, “Only twenty of the hundred venture funds generated returns that beat a public market equivalent by more than 3% annually….Sixty-two of the hundred failed to exceed returns available from the public market, after fees and carry were paid.” According to Pitchbook data, only 21.6% of 3,981 VC funds below $2b in size returned at least 2X Distributions to Paid-In Capital (2X) or more.

100x investment opportunities only come along in VC occasionally.  If you bet your VC fund on opportunities like that, you’re relying on luck. Hope is not a strategy. There are many 3x-20x return opportunities, and if you’re incredibly lucky (or Chris Sacca) you might get one 100x in your career. 

At Versatile VC, we prefer to invest based on statistics, not luck. Given the choice of running a fund with one 100x investment, or a fund with two 10x investments, we’ll take the latter. The former implies that we came perilously close to missing our one home run, and therefore we’re not doing such a great job investing. Shelly Porges, Co-Founder and Managing Partner of Beyond the Billion, observed, “While we all want to have invested in those exciting home-runs/unicorns, most investors are seeking the data points to construct reliable portfolios. That’s not about aiming for the bleachers but leveraging experience to reliably deliver on the singles and doubles it takes to get to home base. A number of the institutional investors we’ve spoken to have gone so far as to say that they can no longer meet their targets without alternatives, including venture investments. “

Second, the outlier model of investing in VC also typically results in a bias towards investing in homogeneous teams. We suggest that the extremely homogeneous profiles of the big wealth creators above reflects the fact that these are people who took the biggest risks: financial risk, reputational risk, and career risk. The people who can afford to take the biggest risks are also the people with the most privilege, as they’re not as concerned about providing for food, shelter, and healthcare as economically stressed people are.  According to Kauffman Foundation, in a study of “549 company founders of successful businesses in high-growth industries, including aerospace, defense, computing, electronics, and health care”, “More than 90 percent of the entrepreneurs came from middle-class or upper-lower-class backgrounds and were well-educated: 95.1 percent of those surveyed had earned bachelor’s degrees, and 47 percent had more advanced degrees.”  (I discuss this more in Why are Revenue-Share VCs investing in so many women and underrepresented founders?) When you analyze the next tier down of VC success, the companies which may not get on the “Top 40” list but are on the “Top 500” list, you see a lot more diversity. Lisa Carmen Wang, Founder, Global League of Women, said, “The “growth at all costs” mentality fueled by the traditional VC model is inherently biased towards unsustainable growth models.”

Third, the data above reflects companies which typically took a decade to build. “The arc of the moral universe is long, but it bends toward justice.” As the culture changes, we anticipate that in 2030, on the next list of “Top 40” wealth creators, we’ll see many more people with diverse backgrounds. Just in 2018, 15 unicorns were born with at least one female founder; in 2019, 21 startups founded or co-founded by a female became unicorns. Why?

  • “All else being equal, a larger pool of female-founded companies to select from for VC investing should increase the odds of a higher number of female-founded VC home runs,” observed Michael Chow, Research Director for NVCA and Venture Forward. According to Pitchbook, investments in women-led companies grew approximately 54% from 2015 to 2019, from 459 to 709. In the first three quarters of 2020, there have been 468 fundings of women-led companies; this figure beats 2015, 2016, and nearly 2017 total annual fundings. ProjectDiane highlights that from 2018 to 2020, the number of black women who have raised 1M in venture funding grew nearly 175%, and for Latinx women grew 100%. Their average two-year fail rate is also 13% lower than the overall average.
  • “Millennials value a diverse workforce”, Chow added, according to Gallup and Deloitte Millennial surveys. “In the battle for talent, diverse founders may have the edge in attracting the best and brightest, and talent is what is required for going from zero to one.”
  • The rise in popularity of alternative VC models, which are disproportionately attractive to women and underrepresented founders. We are in the very early days of this wave; according to research by Bootstrapp, 32 US firms have launched an inaugural Revenue-Based Finance fund, but only 4 firms have closed on Funds 2 – 4. Clearbanc notes on their site they have “invested in thousands of companies using data science to identify high-growth funding opportunities. This data-driven approach takes the bias out of decision making. Clearbanc has funded 8x more female founders than traditional VCs and has invested in 43 states in the US in 2019.”
  • More VCs are working proactively to market to underrepresented founders.  Gesche Haas, Founder, Dreamers & Doers, commented, “Implicit biases are robust and pervasive; it takes a proactive and intentional approach to shift the current status quo of funding.” Holly Jacobus, Investment Partner at Joyance Partners and Social Starts, said, “We’re proud to boast a portfolio featuring ~30% female founders in core roles – well above the industry average – without specific targeting of any sort. However, there is still work to be done. That’s why we lean heavily on our software and CEOs to find the best tech and teams in the best segments, and we are always actively working on improving the process with new systems that remove bias from the dealflow and diligence process.” 

We look forward to working with the next generation of accomplished, diverse founders!

For further reading:

Thanks to Janet Bannister, Managing Partner, Real Ventures, and Erika Cramer, Co-Managing Member, How Women Invest, for thoughtful comments. David Teten is a past Advisor to Real Ventures.

*We used the United States Census Bureau’s definition of white: “White – A person having origins in any of the original peoples of Europe, the Middle East, or North Africa”. https://www.census.gov/topics/population/race/about.html

Previously published in Techcrunch as Broaden your view of ‘best’ to make smarter, more inclusive investments.

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