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You Can't Drop Out of Harvard (If You Never Got In) — Transcript

by Gabriel Jarrosson | Lobster Capital · 1,956 words · 291 segments · language en · Watch on YouTube

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  1. 0:00Bill Gates dropped out of Harvard.
  2. 0:02Zuckerberg dropped out of Harvard.
  3. 0:05But you can't drop out of Harvard if you
  4. 0:06never got in. I'm a venture capitalist.
  5. 0:09Founders pitch me every single week, and
  6. 0:11the school they went to is usually in
  7. 0:13their first sentence. So, I know exactly
  8. 0:16how much it matters because I'm the guy
  9. 0:18it's supposed to impress. And the
  10. 0:20numbers are brutal. Three universities
  11. 0:22take a third of all the venture money in
  12. 0:25America. Seven schools take half. But
  13. 0:28here's the part that doesn't add up.
  14. 0:30PayPal billionaire Peter Thiel pays
  15. 0:32teenagers $100,000 to drop out of
  16. 0:35college, yet he has two degrees from
  17. 0:38Stanford. And the kids he pays to quit
  18. 0:41keep coming from Harvard.
  19. 0:43So, I decided to look into this and get
  20. 0:45to the bottom of it. And what I
  21. 0:46discovered is quite interesting. So,
  22. 0:48let's dive into it together. And by the
  23. 0:50end of this video, I'll show you the one
  24. 0:51thing that makes a VC stop caring where
  25. 0:54you went to school entirely. Let's go.
  26. 1:03Over the past year, if you look at every
  27. 1:05startup in America that raised money
  28. 1:06from a founder who went to university,
  29. 1:08Stanford, Harvard, and MIT alone
  30. 1:11accounted for more than 30%of the
  31. 1:13funding rounds. Widen it slightly to the
  32. 1:15top seven schools, and now you're
  33. 1:16looking at around half of all the
  34. 1:17funding. Look, I'd love to be able to
  35. 1:20say that where you went to school
  36. 1:21doesn't affect your chances, but the
  37. 1:23data is without appeal. And it says the
  38. 1:26exact opposite. And it's the same names
  39. 1:29every year, too. PitchBook went through
  40. 1:30the education of more than 200,000
  41. 1:33venture-backed founders for its 2026
  42. 1:35ranking. Berkeley and Stanford
  43. 1:37undergraduates alone have started
  44. 1:38companies that raised over $392 billion.
  45. 1:42Harvard undergrads, another $149
  46. 1:45billion. So, let's be honest. Why does
  47. 1:47the system work this way? Well, when VCs
  48. 1:51are looking at companies at the earliest
  49. 1:52stage, there's often almost nothing to
  50. 1:55judge. No revenue, sometimes no product,
  51. 1:58just a couple of people and an idea. So,
  52. 2:00VCs like me are not really evaluating a
  53. 2:03business. We're evaluating whether we
  54. 2:05believe in the people building it. And
  55. 2:08with that little to go on, any hard
  56. 2:11signal that lowers the risk gets more
  57. 2:12weight than it probably deserves. For
  58. 2:15example, getting into Stanford is
  59. 2:17usually a signal. It means that years
  60. 2:19ago some admissions office run an
  61. 2:21extremely competitive selection process
  62. 2:23on this person and they came out on top.
  63. 2:26[music] So, when a VC leans on the
  64. 2:27school, what they're really doing is
  65. 2:29borrowing someone else's filter. It's
  66. 2:31almost like the university did the
  67. 2:33investment due diligence on the founder
  68. 2:35and we get it for free. Notice what that
  69. 2:37means, though. It isn't that a Stanford
  70. 2:39degree teaches you how to build a
  71. 2:41company. It's that Stanford already
  72. 2:43selected for the kind of person who
  73. 2:45might. The school admission is being
  74. 2:48used as a proxy for the founder, which
  75. 2:50is exactly why it shows up so heavily in
  76. 2:53who gets funded and much less in who
  77. 2:55actually succeeds. So, does it? I'll
  78. 2:58answer that in a few minutes. First,
  79. 3:01let's go back to the myth because I
  80. 3:02think it's hugely overstated. The whole
  81. 3:05point of the Gates and Zuckerberg legend
  82. 3:07is that it's supposed to prove the
  83. 3:09system doesn't matter. If two of the
  84. 3:11most valuable companies ever built got
  85. 3:13started by people who walked away from
  86. 3:15their degrees, then degrees don't
  87. 3:17matter, right? Well, look at where they
  88. 3:20walked away from. Gates and Paul Allen
  89. 3:23left Harvard. Zuckerberg left Harvard.
  90. 3:25James Park from Harvard. Sam Altman from
  91. 3:28Stanford. And the list goes on and on.
  92. 3:30The pattern underneath the myth is that
  93. 3:32the famous dropouts overwhelmingly
  94. 3:34dropped out of elite schools. They
  95. 3:37didn't skip the filter. They passed
  96. 3:39through the hardest part of it, the
  97. 3:41getting in, and then decided that the
  98. 3:44rest was optional. Now, of course, there
  99. 3:45are exceptions like Steve Jobs who
  100. 3:47dropped out of Reed, but we're hardly
  101. 3:50talking about exceptions if seven
  102. 3:51schools get 50%of the venture funding,
  103. 3:54which brings us back to Peter Thiel,
  104. 3:56because his fellowship is really proving
  105. 3:58all this. He set it up in 2011, and the
  106. 4:02deal is simple. He gives young people
  107. 4:04$100,000 on the condition that they drop
  108. 4:06out of college to build something. It's
  109. 4:08now updated to 250k, by the way. His
  110. 4:11public argument is that elite
  111. 4:13universities are basically exclusive
  112. 4:15nightclubs valued for who they keep out
  113. 4:17rather than what they teach. And it has
  114. 4:20been ludicrously successful. Vitalik
  115. 4:22Buterin from Ethereum, Dylan Field from
  116. 4:24Figma, Tarabochia from SmartSuite, all
  117. 4:27amazing, but also all exceptions. Yes,
  118. 4:31even the Thiel Fellowship, if you look
  119. 4:33closely at who really wins the grant,
  120. 4:35well, it is exactly as you expect. In
  121. 4:39one recent class, five of the fellows
  122. 4:41were Harvard students. The founders of
  123. 4:43EdTech, of Cognition, the company behind
  124. 4:45the Devin AI engineer, of Mercor, all
  125. 4:48Harvard, all pulled out through the
  126. 4:50fellowship. The program helped create
  127. 4:53over $300 billion of company value, and
  128. 4:55it did it almost entirely by funding
  129. 4:58people who had already cleared elite
  130. 5:00admissions before Thiel ever met them.
  131. 5:03So, the man who built a foundation to
  132. 5:06prove you don't need these universities
  133. 5:08is in practice using them as his short
  134. 5:10list. He's not rejecting the filter,
  135. 5:13he's just standing at the other end of
  136. 5:15it catching the people it already
  137. 5:17sorted. You could argue that the
  138. 5:19credential still did the work. The
  139. 5:22reason this matters beyond a fun
  140. 5:24contradiction is what it does to the
  141. 5:26advice [music] everyone gives. The
  142. 5:28dropout story gets told as though it's
  143. 5:31evidence that the door is open to
  144. 5:32anyone. What it really shows is that the
  145. 5:35people who get to drop out and still get
  146. 5:38funded are almost always the ones who
  147. 5:40got in first. There is one obvious
  148. 5:44objection to all of this, which is Y
  149. 5:45Combinator. YC is the most famous
  150. 5:48startup program in the world. It's
  151. 5:49produced Airbnb, Stripe, DoorDash, and
  152. 5:52its whole pitch is that it finds raw
  153. 5:54talent anywhere, that it doesn't care
  154. 5:57about your CV, only what you're
  155. 5:58building. If anything breaks the
  156. 6:00university filter, it should be this.
  157. 6:02And the interesting thing is that on the
  158. 6:04way in, it partly does. In recent
  159. 6:07batches, the top three schools made up
  160. 6:09only about 16%of founders, far below the
  161. 6:13average of 30%you see across venture as
  162. 6:15a whole. Berkeley, a public university,
  163. 6:18produced the most founders in recent
  164. 6:19batches, more than Stanford. Compared to
  165. 6:22the rest of the industry, the front door
  166. 6:24at YC really is more open. But then you
  167. 6:27look at what comes out at the other end,
  168. 6:29and some of the old pattern reappears.
  169. 6:31YC's biggest successes still skew
  170. 6:34heavily towards Stanford and MIT. And by
  171. 6:37one analysis, companies founded by
  172. 6:39Harvard alumni account for more than 1/4
  173. 6:42of all the value YC has ever created
  174. 6:45through Airbnb, Stripe, Rippling, and
  175. 6:47others. So the door opens wider than
  176. 6:50anywhere else in venture, and the same
  177. 6:52handful of schools still walk away with
  178. 6:54most of the winnings. I don't think
  179. 6:56anyone can say yet which way that
  180. 6:58resolves. Maybe the wider intake slowly
  181. 7:01changes who wins, and then in 10 years
  182. 7:03the outcomes look as mixed as the
  183. 7:05applications. Or maybe the filter just
  184. 7:07reasserts itself a little further down
  185. 7:10the track, and the elite school founders
  186. 7:12pull ahead once the money and the
  187. 7:14network kick in. What you can say is
  188. 7:16that even the institution designed to
  189. 7:18ignore the credentials can't fully shake
  190. 7:21it. I should also be straight about
  191. 7:23where I sit in all this, because I've
  192. 7:24built my fund, Lapsa Capital, on a
  193. 7:26version of this filter I've just been
  194. 7:28describing. It's a filter I'm choosing
  195. 7:30to trust, because the alternative at the
  196. 7:32earlier stage is going in almost blind.
  197. 7:35And let's be honest, there's a reason
  198. 7:38the school signal persists even though
  199. 7:40people hate it. When there's no revenue
  200. 7:42and no product, there's very little to
  201. 7:44go on that tells you anything about how
  202. 7:46a person thinks, how hard they work, how
  203. 7:49they handle pressure. Getting into a
  204. 7:50place like Stanford or getting into YC
  205. 7:52is one of the few things that does cuz
  206. 7:55both put people through a selection
  207. 7:57process that's hard to fake your way
  208. 7:59through. You can dislike the bias and
  209. 8:02still admit there's some real signal
  210. 8:03buried in the rigor it takes to get in.
  211. 8:06So, I've made that trade deliberately.
  212. 8:08By investing in YC only, I'm backing
  213. 8:10founders who've already been selected
  214. 8:12once and who've been taught to build in
  215. 8:14a particular way: fast, cheap, obsessed
  216. 8:17with whether people actually want the
  217. 8:19thing.
  218. 8:20Then I run my own filter on top of that.
  219. 8:22I'm trying to find the best 2%of
  220. 8:24startups coming out of each batch that's
  221. 8:26already been filtered. The YC selection
  222. 8:29does the first cut and then my job is
  223. 8:31the second. That's the honest version of
  224. 8:33my thesis and I'll let you decide what
  225. 8:35you think of it. I've swapped one filter
  226. 8:37for another. I've decided that YC's
  227. 8:38version, which cares more about product
  228. 8:41than the pedigree, is a better first cut
  229. 8:43than the school on a CV. Now, before
  230. 8:46this turns into a case for only backing
  231. 8:48founders from top schools, which would
  232. 8:50be both wrong and bad investing, let's
  233. 8:53discuss the other side. [music] The door
  234. 8:55is opening. Berkeley topping a YC batch
  235. 8:57matters. Another thing that matters is
  236. 8:59that more than half of the schools on
  237. 9:01some of these rankings are now outside
  238. 9:03of the United States, like IITs in
  239. 9:06India, Waterloo in Canada, and many
  240. 9:08others climbing every year. The raw
  241. 9:10number of funded founders from a wider
  242. 9:12range of places does keep going up. More
  243. 9:15importantly, the school predicts
  244. 9:18funding, not success [music].
  245. 9:20It might help you raise money, which is
  246. 9:22a real advantage, but it is not the same
  247. 9:24thing as building something that lasts.
  248. 9:26Some of the largest outcomes in tech
  249. 9:28came from founders who didn't go
  250. 9:29anywhere near those schools. And the one
  251. 9:32signal that overrides the credential
  252. 9:34completely is traction. The moment a
  253. 9:37founder can show that people actually
  254. 9:39use and pay for what they built, nobody
  255. 9:41asks where they went to university. This
  256. 9:44is a signal we strongly index on at
  257. 9:46Lobster Capital. So, if you didn't go to
  258. 9:48one of these schools, remember the only
  259. 9:50thing that really matters is if you make
  260. 9:52something people want. So, here's what
  261. 9:54to do with all this depending on who you
  262. 9:56are. If you're a founder who went to one
  263. 9:58of these schools, understand your
  264. 9:59advantage. Good schools can get you the
  265. 10:01first meeting, but remember [music] it
  266. 10:03does not build the company and it runs
  267. 10:05out when it's time to make revenue. If
  268. 10:07you didn't go to those schools, well,
  269. 10:09the filter is real and it's working
  270. 10:11against you at the start. But again,
  271. 10:13there is exactly one thing that erases
  272. 10:16it, a product [music] people want. The
  273. 10:18credential is what investors reach for
  274. 10:20in the dark, but remember it is traction
  275. 10:23that turns the light on.
  276. 10:25Nobody has ever asked a founder with a
  277. 10:27successful business where they went to
  278. 10:29school. And if you're an investor, the
  279. 10:31uncomfortable version is that you're
  280. 10:32probably doing what I do, which is
  281. 10:34leaning on a filter. This is fine, but
  282. 10:36you should really understand what that
  283. 10:38filter measures. University might tell
  284. 10:41you who was exceptional at 17. Says
  285. 10:43nothing about who'll be exceptional at
  286. 10:4530. Those are not the same person nearly
  287. 10:47as often as the funding data would
  288. 10:49suggest. That's it for today. Thank you
  289. 10:51so much for watching. Don't forget to
  290. 10:52subscribe and I'll see you in the next
  291. 10:54one.

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