You Can't Drop Out of Harvard (If You Never Got In) — Transcript
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- 0:00Bill Gates dropped out of Harvard.
- 0:02Zuckerberg dropped out of Harvard.
- 0:05But you can't drop out of Harvard if you
- 0:06never got in. I'm a venture capitalist.
- 0:09Founders pitch me every single week, and
- 0:11the school they went to is usually in
- 0:13their first sentence. So, I know exactly
- 0:16how much it matters because I'm the guy
- 0:18it's supposed to impress. And the
- 0:20numbers are brutal. Three universities
- 0:22take a third of all the venture money in
- 0:25America. Seven schools take half. But
- 0:28here's the part that doesn't add up.
- 0:30PayPal billionaire Peter Thiel pays
- 0:32teenagers $100,000 to drop out of
- 0:35college, yet he has two degrees from
- 0:38Stanford. And the kids he pays to quit
- 0:41keep coming from Harvard.
- 0:43So, I decided to look into this and get
- 0:45to the bottom of it. And what I
- 0:46discovered is quite interesting. So,
- 0:48let's dive into it together. And by the
- 0:50end of this video, I'll show you the one
- 0:51thing that makes a VC stop caring where
- 0:54you went to school entirely. Let's go.
- 1:03Over the past year, if you look at every
- 1:05startup in America that raised money
- 1:06from a founder who went to university,
- 1:08Stanford, Harvard, and MIT alone
- 1:11accounted for more than 30%of the
- 1:13funding rounds. Widen it slightly to the
- 1:15top seven schools, and now you're
- 1:16looking at around half of all the
- 1:17funding. Look, I'd love to be able to
- 1:20say that where you went to school
- 1:21doesn't affect your chances, but the
- 1:23data is without appeal. And it says the
- 1:26exact opposite. And it's the same names
- 1:29every year, too. PitchBook went through
- 1:30the education of more than 200,000
- 1:33venture-backed founders for its 2026
- 1:35ranking. Berkeley and Stanford
- 1:37undergraduates alone have started
- 1:38companies that raised over $392 billion.
- 1:42Harvard undergrads, another $149
- 1:45billion. So, let's be honest. Why does
- 1:47the system work this way? Well, when VCs
- 1:51are looking at companies at the earliest
- 1:52stage, there's often almost nothing to
- 1:55judge. No revenue, sometimes no product,
- 1:58just a couple of people and an idea. So,
- 2:00VCs like me are not really evaluating a
- 2:03business. We're evaluating whether we
- 2:05believe in the people building it. And
- 2:08with that little to go on, any hard
- 2:11signal that lowers the risk gets more
- 2:12weight than it probably deserves. For
- 2:15example, getting into Stanford is
- 2:17usually a signal. It means that years
- 2:19ago some admissions office run an
- 2:21extremely competitive selection process
- 2:23on this person and they came out on top.
- 2:26[music] So, when a VC leans on the
- 2:27school, what they're really doing is
- 2:29borrowing someone else's filter. It's
- 2:31almost like the university did the
- 2:33investment due diligence on the founder
- 2:35and we get it for free. Notice what that
- 2:37means, though. It isn't that a Stanford
- 2:39degree teaches you how to build a
- 2:41company. It's that Stanford already
- 2:43selected for the kind of person who
- 2:45might. The school admission is being
- 2:48used as a proxy for the founder, which
- 2:50is exactly why it shows up so heavily in
- 2:53who gets funded and much less in who
- 2:55actually succeeds. So, does it? I'll
- 2:58answer that in a few minutes. First,
- 3:01let's go back to the myth because I
- 3:02think it's hugely overstated. The whole
- 3:05point of the Gates and Zuckerberg legend
- 3:07is that it's supposed to prove the
- 3:09system doesn't matter. If two of the
- 3:11most valuable companies ever built got
- 3:13started by people who walked away from
- 3:15their degrees, then degrees don't
- 3:17matter, right? Well, look at where they
- 3:20walked away from. Gates and Paul Allen
- 3:23left Harvard. Zuckerberg left Harvard.
- 3:25James Park from Harvard. Sam Altman from
- 3:28Stanford. And the list goes on and on.
- 3:30The pattern underneath the myth is that
- 3:32the famous dropouts overwhelmingly
- 3:34dropped out of elite schools. They
- 3:37didn't skip the filter. They passed
- 3:39through the hardest part of it, the
- 3:41getting in, and then decided that the
- 3:44rest was optional. Now, of course, there
- 3:45are exceptions like Steve Jobs who
- 3:47dropped out of Reed, but we're hardly
- 3:50talking about exceptions if seven
- 3:51schools get 50%of the venture funding,
- 3:54which brings us back to Peter Thiel,
- 3:56because his fellowship is really proving
- 3:58all this. He set it up in 2011, and the
- 4:02deal is simple. He gives young people
- 4:04$100,000 on the condition that they drop
- 4:06out of college to build something. It's
- 4:08now updated to 250k, by the way. His
- 4:11public argument is that elite
- 4:13universities are basically exclusive
- 4:15nightclubs valued for who they keep out
- 4:17rather than what they teach. And it has
- 4:20been ludicrously successful. Vitalik
- 4:22Buterin from Ethereum, Dylan Field from
- 4:24Figma, Tarabochia from SmartSuite, all
- 4:27amazing, but also all exceptions. Yes,
- 4:31even the Thiel Fellowship, if you look
- 4:33closely at who really wins the grant,
- 4:35well, it is exactly as you expect. In
- 4:39one recent class, five of the fellows
- 4:41were Harvard students. The founders of
- 4:43EdTech, of Cognition, the company behind
- 4:45the Devin AI engineer, of Mercor, all
- 4:48Harvard, all pulled out through the
- 4:50fellowship. The program helped create
- 4:53over $300 billion of company value, and
- 4:55it did it almost entirely by funding
- 4:58people who had already cleared elite
- 5:00admissions before Thiel ever met them.
- 5:03So, the man who built a foundation to
- 5:06prove you don't need these universities
- 5:08is in practice using them as his short
- 5:10list. He's not rejecting the filter,
- 5:13he's just standing at the other end of
- 5:15it catching the people it already
- 5:17sorted. You could argue that the
- 5:19credential still did the work. The
- 5:22reason this matters beyond a fun
- 5:24contradiction is what it does to the
- 5:26advice [music] everyone gives. The
- 5:28dropout story gets told as though it's
- 5:31evidence that the door is open to
- 5:32anyone. What it really shows is that the
- 5:35people who get to drop out and still get
- 5:38funded are almost always the ones who
- 5:40got in first. There is one obvious
- 5:44objection to all of this, which is Y
- 5:45Combinator. YC is the most famous
- 5:48startup program in the world. It's
- 5:49produced Airbnb, Stripe, DoorDash, and
- 5:52its whole pitch is that it finds raw
- 5:54talent anywhere, that it doesn't care
- 5:57about your CV, only what you're
- 5:58building. If anything breaks the
- 6:00university filter, it should be this.
- 6:02And the interesting thing is that on the
- 6:04way in, it partly does. In recent
- 6:07batches, the top three schools made up
- 6:09only about 16%of founders, far below the
- 6:13average of 30%you see across venture as
- 6:15a whole. Berkeley, a public university,
- 6:18produced the most founders in recent
- 6:19batches, more than Stanford. Compared to
- 6:22the rest of the industry, the front door
- 6:24at YC really is more open. But then you
- 6:27look at what comes out at the other end,
- 6:29and some of the old pattern reappears.
- 6:31YC's biggest successes still skew
- 6:34heavily towards Stanford and MIT. And by
- 6:37one analysis, companies founded by
- 6:39Harvard alumni account for more than 1/4
- 6:42of all the value YC has ever created
- 6:45through Airbnb, Stripe, Rippling, and
- 6:47others. So the door opens wider than
- 6:50anywhere else in venture, and the same
- 6:52handful of schools still walk away with
- 6:54most of the winnings. I don't think
- 6:56anyone can say yet which way that
- 6:58resolves. Maybe the wider intake slowly
- 7:01changes who wins, and then in 10 years
- 7:03the outcomes look as mixed as the
- 7:05applications. Or maybe the filter just
- 7:07reasserts itself a little further down
- 7:10the track, and the elite school founders
- 7:12pull ahead once the money and the
- 7:14network kick in. What you can say is
- 7:16that even the institution designed to
- 7:18ignore the credentials can't fully shake
- 7:21it. I should also be straight about
- 7:23where I sit in all this, because I've
- 7:24built my fund, Lapsa Capital, on a
- 7:26version of this filter I've just been
- 7:28describing. It's a filter I'm choosing
- 7:30to trust, because the alternative at the
- 7:32earlier stage is going in almost blind.
- 7:35And let's be honest, there's a reason
- 7:38the school signal persists even though
- 7:40people hate it. When there's no revenue
- 7:42and no product, there's very little to
- 7:44go on that tells you anything about how
- 7:46a person thinks, how hard they work, how
- 7:49they handle pressure. Getting into a
- 7:50place like Stanford or getting into YC
- 7:52is one of the few things that does cuz
- 7:55both put people through a selection
- 7:57process that's hard to fake your way
- 7:59through. You can dislike the bias and
- 8:02still admit there's some real signal
- 8:03buried in the rigor it takes to get in.
- 8:06So, I've made that trade deliberately.
- 8:08By investing in YC only, I'm backing
- 8:10founders who've already been selected
- 8:12once and who've been taught to build in
- 8:14a particular way: fast, cheap, obsessed
- 8:17with whether people actually want the
- 8:19thing.
- 8:20Then I run my own filter on top of that.
- 8:22I'm trying to find the best 2%of
- 8:24startups coming out of each batch that's
- 8:26already been filtered. The YC selection
- 8:29does the first cut and then my job is
- 8:31the second. That's the honest version of
- 8:33my thesis and I'll let you decide what
- 8:35you think of it. I've swapped one filter
- 8:37for another. I've decided that YC's
- 8:38version, which cares more about product
- 8:41than the pedigree, is a better first cut
- 8:43than the school on a CV. Now, before
- 8:46this turns into a case for only backing
- 8:48founders from top schools, which would
- 8:50be both wrong and bad investing, let's
- 8:53discuss the other side. [music] The door
- 8:55is opening. Berkeley topping a YC batch
- 8:57matters. Another thing that matters is
- 8:59that more than half of the schools on
- 9:01some of these rankings are now outside
- 9:03of the United States, like IITs in
- 9:06India, Waterloo in Canada, and many
- 9:08others climbing every year. The raw
- 9:10number of funded founders from a wider
- 9:12range of places does keep going up. More
- 9:15importantly, the school predicts
- 9:18funding, not success [music].
- 9:20It might help you raise money, which is
- 9:22a real advantage, but it is not the same
- 9:24thing as building something that lasts.
- 9:26Some of the largest outcomes in tech
- 9:28came from founders who didn't go
- 9:29anywhere near those schools. And the one
- 9:32signal that overrides the credential
- 9:34completely is traction. The moment a
- 9:37founder can show that people actually
- 9:39use and pay for what they built, nobody
- 9:41asks where they went to university. This
- 9:44is a signal we strongly index on at
- 9:46Lobster Capital. So, if you didn't go to
- 9:48one of these schools, remember the only
- 9:50thing that really matters is if you make
- 9:52something people want. So, here's what
- 9:54to do with all this depending on who you
- 9:56are. If you're a founder who went to one
- 9:58of these schools, understand your
- 9:59advantage. Good schools can get you the
- 10:01first meeting, but remember [music] it
- 10:03does not build the company and it runs
- 10:05out when it's time to make revenue. If
- 10:07you didn't go to those schools, well,
- 10:09the filter is real and it's working
- 10:11against you at the start. But again,
- 10:13there is exactly one thing that erases
- 10:16it, a product [music] people want. The
- 10:18credential is what investors reach for
- 10:20in the dark, but remember it is traction
- 10:23that turns the light on.
- 10:25Nobody has ever asked a founder with a
- 10:27successful business where they went to
- 10:29school. And if you're an investor, the
- 10:31uncomfortable version is that you're
- 10:32probably doing what I do, which is
- 10:34leaning on a filter. This is fine, but
- 10:36you should really understand what that
- 10:38filter measures. University might tell
- 10:41you who was exceptional at 17. Says
- 10:43nothing about who'll be exceptional at
- 10:4530. Those are not the same person nearly
- 10:47as often as the funding data would
- 10:49suggest. That's it for today. Thank you
- 10:51so much for watching. Don't forget to
- 10:52subscribe and I'll see you in the next
- 10:54one.
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