1 00:00:15,316 --> 00:00:23,716 Speaker 1: Pushkin. One of the most interesting, most important companies in 2 00:00:23,756 --> 00:00:28,036 Speaker 1: the world right now is Maderna, this little biotech company 3 00:00:28,076 --> 00:00:30,236 Speaker 1: that almost nobody had ever heard of until a couple 4 00:00:30,276 --> 00:00:33,116 Speaker 1: of years ago. This company built on the wild idea 5 00:00:33,196 --> 00:00:37,636 Speaker 1: of making mRNA and putting it into people's cells. This 6 00:00:37,676 --> 00:00:41,916 Speaker 1: company has suddenly delivered COVID vaccines to hundreds of millions 7 00:00:41,916 --> 00:00:46,636 Speaker 1: of people, including full disclosure to me. And maybe the 8 00:00:46,676 --> 00:00:50,076 Speaker 1: most interesting thing about the story of Maderna is that 9 00:00:50,116 --> 00:00:52,556 Speaker 1: it doesn't start with the founding of the company back 10 00:00:52,596 --> 00:00:56,276 Speaker 1: in twenty ten. It starts ten years earlier with the 11 00:00:56,316 --> 00:01:01,436 Speaker 1: founding of another company, a company called Flagship Pioneering. Flagship 12 00:01:01,436 --> 00:01:05,876 Speaker 1: Pioneering is a company that makes companies. Flagship has created 13 00:01:05,996 --> 00:01:09,356 Speaker 1: dozens of companies, several of which have gone public. Pretty 14 00:01:09,436 --> 00:01:11,716 Speaker 1: much all of them have something to do with biology, 15 00:01:12,036 --> 00:01:16,316 Speaker 1: and they tend to be pretty out there. Companies using 16 00:01:16,396 --> 00:01:20,356 Speaker 1: bacteria as medicine, Companies trying to figure out how farms 17 00:01:20,396 --> 00:01:23,676 Speaker 1: can do more to pull carbon dioxide out of the atmosphere, 18 00:01:24,036 --> 00:01:26,436 Speaker 1: and of course, companies trying to figure out all the 19 00:01:26,516 --> 00:01:34,236 Speaker 1: things you can do with RNA, companies like Maderna. I'm 20 00:01:34,316 --> 00:01:37,076 Speaker 1: Jacob Goldstein and this is What's Your Problem, the show 21 00:01:37,116 --> 00:01:39,876 Speaker 1: where I talk to entrepreneurs and engineers about how they're 22 00:01:39,876 --> 00:01:42,756 Speaker 1: going to change the world once they've solved a few problems. 23 00:01:44,476 --> 00:01:47,916 Speaker 1: My guest today is Nubar Afaan. He is the founder 24 00:01:47,956 --> 00:01:51,556 Speaker 1: of Flagship Pioneering and the co founder of Maderna. And 25 00:01:51,716 --> 00:01:54,596 Speaker 1: the problem I wanted to talk with Nubar about is 26 00:01:54,836 --> 00:01:57,996 Speaker 1: the problem he started Flagship to solve. How do you 27 00:01:58,036 --> 00:02:02,476 Speaker 1: turn the unstructured, chaotic way that most entrepreneurs start companies 28 00:02:02,876 --> 00:02:07,476 Speaker 1: into a repeatable, systematic process and what can we learn 29 00:02:07,516 --> 00:02:13,076 Speaker 1: about that From the story of Maderna, the origins of 30 00:02:13,076 --> 00:02:16,916 Speaker 1: Flagship Pioneering new Bar's company, the company that started Maderna. 31 00:02:16,996 --> 00:02:19,196 Speaker 1: They go back to the beginning of his career as 32 00:02:19,196 --> 00:02:23,276 Speaker 1: an entrepreneur. He saw at the time that venture capitalists 33 00:02:23,556 --> 00:02:26,956 Speaker 1: had a sort of unfair advantage over entrepreneurs like him 34 00:02:27,236 --> 00:02:29,876 Speaker 1: because they got to see into so many different companies 35 00:02:29,956 --> 00:02:33,636 Speaker 1: all getting built at the same time. I was interested 36 00:02:33,676 --> 00:02:37,516 Speaker 1: in the model that venture capitalists used, and what I 37 00:02:37,556 --> 00:02:40,676 Speaker 1: observed in the early phase of my career is just 38 00:02:40,796 --> 00:02:44,196 Speaker 1: how smart all these people seemed. And yet after a 39 00:02:44,196 --> 00:02:46,676 Speaker 1: while I realized, well, they're two they can't all be 40 00:02:46,796 --> 00:02:50,436 Speaker 1: that smart. And it occurred to me that they had 41 00:02:50,476 --> 00:02:53,796 Speaker 1: seen so many attempts at this, with so many different 42 00:02:54,116 --> 00:02:58,356 Speaker 1: people of different backgrounds, compositions of teams that were only experienced, 43 00:02:58,396 --> 00:03:02,716 Speaker 1: only inexperienced the science the IP strategy in the markets. 44 00:03:02,756 --> 00:03:05,756 Speaker 1: So when you take it all together, they were learning 45 00:03:05,876 --> 00:03:09,516 Speaker 1: at a massive, massive rate that which entrepreneur need to 46 00:03:09,596 --> 00:03:14,836 Speaker 1: learn but never can learn in one go round. And 47 00:03:14,916 --> 00:03:20,436 Speaker 1: so I thought, why can't the knowledge assembly practice, experimenting 48 00:03:20,476 --> 00:03:24,396 Speaker 1: and failing and learning be available to an entrepreneur. So 49 00:03:24,476 --> 00:03:27,916 Speaker 1: all of those things kind of combined in getting me 50 00:03:27,956 --> 00:03:30,436 Speaker 1: interested in this notion that what if there was a 51 00:03:30,476 --> 00:03:35,676 Speaker 1: structure where entrepreneurs such as myself could take experience they 52 00:03:35,676 --> 00:03:38,396 Speaker 1: had gotten, let's say, in one in one instance, but 53 00:03:38,476 --> 00:03:42,156 Speaker 1: then started diversifying it and learning in parallel, and then 54 00:03:42,196 --> 00:03:44,836 Speaker 1: got really good at it. And those are the things 55 00:03:44,836 --> 00:03:48,156 Speaker 1: that led to the conception of Flagship in two thousand. 56 00:03:48,996 --> 00:03:52,476 Speaker 1: Starting a company that starts companies almost seems like cheating 57 00:03:52,556 --> 00:03:54,956 Speaker 1: in a weird way, Like when you get the genie 58 00:03:54,956 --> 00:03:56,996 Speaker 1: in the bottle and you get three wishes, it's like 59 00:03:57,036 --> 00:04:00,316 Speaker 1: wishing for more wishes, right, you know, I've never seen 60 00:04:00,356 --> 00:04:02,916 Speaker 1: a story which starts with you know, some Genie offered 61 00:04:02,956 --> 00:04:07,756 Speaker 1: somebody three wishes, and the first wish was another Genie bottle. Yeah, 62 00:04:07,796 --> 00:04:11,316 Speaker 1: it's a little poll have been a smart answer, Yeah, yeah, 63 00:04:11,316 --> 00:04:13,676 Speaker 1: that would have been a smart answer. So it really 64 00:04:13,796 --> 00:04:15,676 Speaker 1: is a kind of a curious thing as to why 65 00:04:16,116 --> 00:04:19,076 Speaker 1: people don't do it. And I can trace it back, 66 00:04:19,196 --> 00:04:22,036 Speaker 1: especially back in the twenty five years ago, to the 67 00:04:22,076 --> 00:04:26,356 Speaker 1: fact that the field of entrepreneurship was a relatively young field. 68 00:04:26,676 --> 00:04:30,156 Speaker 1: Early on, it was this kind of mystical activity, and 69 00:04:30,236 --> 00:04:34,116 Speaker 1: you had certain personalities that kind of were able to 70 00:04:34,196 --> 00:04:37,596 Speaker 1: raise money and govern, you know, create teams. There's a 71 00:04:37,636 --> 00:04:41,236 Speaker 1: whole mythology, right, It's like the like Hero's journey, right 72 00:04:41,276 --> 00:04:44,276 Speaker 1: where there's this one person who has a vision that 73 00:04:44,316 --> 00:04:47,036 Speaker 1: nobody else believes in and only they can build the company. 74 00:04:47,076 --> 00:04:48,756 Speaker 1: I mean, I feel like what you're building is sort 75 00:04:48,796 --> 00:04:52,836 Speaker 1: of the antithesis of that. Well exactly, entrepreneurship as an 76 00:04:52,876 --> 00:04:57,156 Speaker 1: activity today is today used to be and hasn't changed 77 00:04:57,156 --> 00:05:01,596 Speaker 1: so much. Is very much improvisational. There's a lot of 78 00:05:02,196 --> 00:05:05,956 Speaker 1: kind of almost a romantic side to it. There is chaos, 79 00:05:06,756 --> 00:05:11,316 Speaker 1: and there is this struggle to survive. And while all 80 00:05:11,356 --> 00:05:15,236 Speaker 1: of those things are really good, kind of spices in 81 00:05:15,276 --> 00:05:17,996 Speaker 1: a meal. It is the meal in entrepreneurship. There is 82 00:05:18,036 --> 00:05:21,556 Speaker 1: nothing else you don't point to, and we're developing products 83 00:05:21,556 --> 00:05:24,476 Speaker 1: and we're solving on meth needs. Those things almost become 84 00:05:24,716 --> 00:05:26,916 Speaker 1: kind of the boring part of the story that people 85 00:05:26,996 --> 00:05:29,476 Speaker 1: want to fast forward through that part of the episode. 86 00:05:29,756 --> 00:05:32,476 Speaker 1: So it did occur to me, in thinking of parallelyzing this, 87 00:05:32,916 --> 00:05:38,036 Speaker 1: that actually all those parts can benefit from being more efficient, 88 00:05:38,436 --> 00:05:41,996 Speaker 1: more effective, more predictable, and more planful. If there's this 89 00:05:42,076 --> 00:05:46,076 Speaker 1: idea that you can build a system to create companies 90 00:05:46,676 --> 00:05:51,276 Speaker 1: and that the system maybe ultimately can work better at 91 00:05:51,316 --> 00:05:53,516 Speaker 1: least better in some settings, let's say, than the sort 92 00:05:53,556 --> 00:05:58,116 Speaker 1: of visionary entrepreneur. What does that say about you in particular? 93 00:05:58,476 --> 00:06:00,556 Speaker 1: Like can you build such a good system that you 94 00:06:00,716 --> 00:06:08,876 Speaker 1: personally become replaceable? Oh? Yeah, that's my goal. So you 95 00:06:09,156 --> 00:06:12,156 Speaker 1: are set up this company, Flagship Pioneering to solve the 96 00:06:12,316 --> 00:06:16,396 Speaker 1: entrepreneurship problem. But how does it actually work and how 97 00:06:16,396 --> 00:06:19,636 Speaker 1: did it lead to the creation of Maderna? That is 98 00:06:19,716 --> 00:06:28,476 Speaker 1: after the break. Now we're going back to the show. 99 00:06:28,956 --> 00:06:31,036 Speaker 1: So in the first part of the conversation, Nubar and 100 00:06:31,076 --> 00:06:34,196 Speaker 1: I were talking abstractly about this problem he set out 101 00:06:34,236 --> 00:06:38,156 Speaker 1: to solve how do you shift entrepreneurship starting companies from 102 00:06:38,196 --> 00:06:43,396 Speaker 1: this mythological hero's journey into a repeatable, systematic process. In 103 00:06:43,436 --> 00:06:45,756 Speaker 1: the next part of the conversation, Nubar gave me an answer. 104 00:06:45,876 --> 00:06:48,276 Speaker 1: He told me the story of Maderna as a case 105 00:06:48,356 --> 00:06:51,876 Speaker 1: study for how flagship pioneering his company has started to 106 00:06:51,916 --> 00:06:54,996 Speaker 1: solve this problem, has started to create a system for 107 00:06:55,156 --> 00:06:58,436 Speaker 1: creating new companies. The story of Maderna starts in twenty 108 00:06:58,636 --> 00:07:01,156 Speaker 1: ten when Nubar had a meeting with a Harvard scientist 109 00:07:01,236 --> 00:07:04,156 Speaker 1: who was studying m RNA. mRNA, by the way, is 110 00:07:04,156 --> 00:07:07,076 Speaker 1: a molecule that basically tells cells in the body what 111 00:07:07,276 --> 00:07:11,396 Speaker 1: protein to make. I could researchers had been experimenting with 112 00:07:11,676 --> 00:07:14,196 Speaker 1: mRNA for a while by this point, but they kept 113 00:07:14,236 --> 00:07:17,796 Speaker 1: hitting problems when they tried to find clinical applications. And 114 00:07:17,916 --> 00:07:20,436 Speaker 1: in the middle of this meeting with the Harvard scientist, 115 00:07:20,836 --> 00:07:24,556 Speaker 1: Newbar thinks if we could make mRNA in the lab 116 00:07:24,956 --> 00:07:28,836 Speaker 1: and inject it into the body, the results could be incredible. 117 00:07:29,276 --> 00:07:32,756 Speaker 1: We could use mRNA to tele a patient cells what 118 00:07:32,916 --> 00:07:35,996 Speaker 1: to make. So I come back from the meeting and 119 00:07:36,036 --> 00:07:38,116 Speaker 1: I talked to some of the team here and we say, hey, 120 00:07:38,396 --> 00:07:41,876 Speaker 1: let's launch an exploration, and it starts as an act 121 00:07:42,396 --> 00:07:46,676 Speaker 1: of imagination. It is not an active reason. And in fact, 122 00:07:46,716 --> 00:07:50,196 Speaker 1: one of my side i'd say, kind of, I won't 123 00:07:50,236 --> 00:07:54,276 Speaker 1: call it ran. Yeah. A side rant would be the 124 00:07:54,316 --> 00:07:59,756 Speaker 1: degree to which our education systematically discourages the use of 125 00:07:59,836 --> 00:08:04,276 Speaker 1: imagination in creating the world we want to create, versus 126 00:08:04,316 --> 00:08:09,036 Speaker 1: relying overly on analysis and reason as the only way 127 00:08:09,476 --> 00:08:12,556 Speaker 1: to make progress. You want to try and be unreasonable 128 00:08:12,836 --> 00:08:16,356 Speaker 1: to some extent. We need to be unreasonable in order 129 00:08:16,396 --> 00:08:20,796 Speaker 1: to come up with leaps that eventually seem reasonable. So, 130 00:08:21,236 --> 00:08:24,196 Speaker 1: in the case of what will become maderna, you have 131 00:08:24,236 --> 00:08:29,036 Speaker 1: this unreasonable idea, let's use mRNA to get the body 132 00:08:29,076 --> 00:08:32,716 Speaker 1: to make drugs inside the body. You start this first step, 133 00:08:32,756 --> 00:08:36,596 Speaker 1: this thing you call an exploration, which means which means 134 00:08:36,596 --> 00:08:38,716 Speaker 1: what you have this small team studying the state of 135 00:08:38,756 --> 00:08:41,556 Speaker 1: the art, going out and talking to experts about this idea, 136 00:08:41,636 --> 00:08:44,596 Speaker 1: and what kind of reactions are you getting from the experts. 137 00:08:44,916 --> 00:08:46,876 Speaker 1: So the way that you react is to say, the 138 00:08:47,036 --> 00:08:49,196 Speaker 1: RNA will be washed out of the body in ten minutes, 139 00:08:49,356 --> 00:08:51,996 Speaker 1: How are you going to make proteins for weeks? How 140 00:08:51,996 --> 00:08:53,556 Speaker 1: are you going to get into the right cell types 141 00:08:53,756 --> 00:08:55,516 Speaker 1: by the way, there's all sorts of other immune reactions 142 00:08:55,516 --> 00:08:57,716 Speaker 1: you're gonna have to deal with, how are you going 143 00:08:57,796 --> 00:09:00,156 Speaker 1: to make it? Nobody ever designed and made Arnie, And 144 00:09:00,196 --> 00:09:04,276 Speaker 1: so all those selection pressures causes you, causes us very 145 00:09:04,316 --> 00:09:06,876 Speaker 1: specifically to go back and try to come up with 146 00:09:06,876 --> 00:09:12,156 Speaker 1: ways to overcome those let's say, dogumatic objections to based 147 00:09:12,196 --> 00:09:14,516 Speaker 1: on the present state of the art. And so because 148 00:09:14,636 --> 00:09:16,116 Speaker 1: you might say, we why don't you just ignore them 149 00:09:16,116 --> 00:09:17,916 Speaker 1: and just go into lab and do it. And the 150 00:09:17,956 --> 00:09:20,716 Speaker 1: reason it turns out for us anyways, that we find 151 00:09:20,836 --> 00:09:24,836 Speaker 1: that these initial hypotheses become refined and refined and refined 152 00:09:25,436 --> 00:09:27,716 Speaker 1: before we want to go in and spend the money 153 00:09:27,756 --> 00:09:30,556 Speaker 1: building a company. That's a really important thing. We don't 154 00:09:30,676 --> 00:09:33,956 Speaker 1: build just any company. We build companies that have gone 155 00:09:33,996 --> 00:09:40,276 Speaker 1: through a significant upfront set of iterative refinements. That's a 156 00:09:40,356 --> 00:09:43,116 Speaker 1: process of a couple of months. It's a handful of people, 157 00:09:43,156 --> 00:09:46,396 Speaker 1: three four people, and it's a couple of months, and 158 00:09:46,516 --> 00:09:48,956 Speaker 1: we iterate, iterate, iterated internally until we get to a 159 00:09:49,036 --> 00:09:51,116 Speaker 1: point by the fall where we say, you know what, 160 00:09:51,396 --> 00:09:53,356 Speaker 1: we're going to make a go of this, because that 161 00:09:53,516 --> 00:09:55,316 Speaker 1: we think we have a good sense of the range 162 00:09:55,356 --> 00:09:57,436 Speaker 1: of things that have to be right for this to work. 163 00:09:57,716 --> 00:10:00,436 Speaker 1: We can test for them, and we don't start the company. 164 00:10:00,636 --> 00:10:03,116 Speaker 1: We actually start what we call a protocompany. Okay, that's 165 00:10:03,156 --> 00:10:06,196 Speaker 1: the first phase. Okay, what is a proto company? So 166 00:10:06,236 --> 00:10:10,156 Speaker 1: a product company is a prototype of a company, just 167 00:10:10,236 --> 00:10:12,556 Speaker 1: like you make prototypes of every product that you make. 168 00:10:12,836 --> 00:10:15,436 Speaker 1: But remarkably, there is no such thing as a prototype 169 00:10:15,436 --> 00:10:18,716 Speaker 1: of a company. People just make companies. And a product 170 00:10:18,756 --> 00:10:21,116 Speaker 1: type of a company is where, just like in a 171 00:10:21,156 --> 00:10:23,076 Speaker 1: regular product, you get to beat it up and try 172 00:10:23,076 --> 00:10:25,236 Speaker 1: to kill it. And that's exactly what we do. And 173 00:10:25,276 --> 00:10:28,116 Speaker 1: so is it called Maderna Yet you have this idea 174 00:10:28,116 --> 00:10:30,956 Speaker 1: and it's like proto Maderna. No, it's ls eighteen is 175 00:10:30,956 --> 00:10:34,076 Speaker 1: the product company? Say it again. LSA teen is the 176 00:10:34,236 --> 00:10:38,996 Speaker 1: name of the entity that got incorporated to become eventually 177 00:10:39,076 --> 00:10:42,916 Speaker 1: if things went forward, Maderna. Why light, Oh, it's the 178 00:10:42,956 --> 00:10:46,356 Speaker 1: eighteenth such thing we did. Okay, it's the eighteenth proto 179 00:10:46,436 --> 00:10:49,276 Speaker 1: company you had ever made, exactly and today we're at 180 00:10:49,396 --> 00:10:52,796 Speaker 1: number ninety as an example, why do you do that? 181 00:10:52,916 --> 00:10:56,116 Speaker 1: Why do you give it just a number at that stage? Oh, 182 00:10:56,156 --> 00:10:59,956 Speaker 1: you know, when you're trying to create an institution instead 183 00:10:59,996 --> 00:11:02,596 Speaker 1: of behaviors. One of the things that I knew literally 184 00:11:02,596 --> 00:11:04,836 Speaker 1: on day one going into creating this whole thing in 185 00:11:04,916 --> 00:11:08,916 Speaker 1: two thousand was that people hang on to their ideas 186 00:11:09,396 --> 00:11:12,516 Speaker 1: and emotionally almost romantically connected them and they never can 187 00:11:12,596 --> 00:11:15,196 Speaker 1: kill them. And I wanted to create a safe zone 188 00:11:15,596 --> 00:11:19,836 Speaker 1: during which the question was, what is the falsifying experiment 189 00:11:20,156 --> 00:11:22,916 Speaker 1: that will kill the hypothesis so that we don't go forward. Well, 190 00:11:22,956 --> 00:11:26,036 Speaker 1: guess what if you give something a name, worse yet, 191 00:11:26,076 --> 00:11:29,076 Speaker 1: a name you really like, your pet, dog's name, some 192 00:11:29,476 --> 00:11:32,276 Speaker 1: Greek god's name, whatever, Well you try to kill it. 193 00:11:32,436 --> 00:11:33,916 Speaker 1: So you give it a number instead of a name 194 00:11:33,996 --> 00:11:37,596 Speaker 1: to make it easier to kill. Disposable exactly. But anyway, 195 00:11:37,596 --> 00:11:39,996 Speaker 1: I should say put our companies for us are like 196 00:11:39,996 --> 00:11:43,796 Speaker 1: a one to two million dollars six months to twelve 197 00:11:43,796 --> 00:11:48,036 Speaker 1: months plus minus process. It is not a license to 198 00:11:48,556 --> 00:11:51,956 Speaker 1: hunt for the next three years and ten million dollars. 199 00:11:51,996 --> 00:11:54,956 Speaker 1: That's a very important discipline. So a key part of 200 00:11:54,996 --> 00:11:58,156 Speaker 1: doing that is to decide what are the key experiments 201 00:11:58,396 --> 00:12:00,316 Speaker 1: that you want to do first in order to try 202 00:12:00,356 --> 00:12:02,836 Speaker 1: to kill it. We needed to convince ourselves that we 203 00:12:02,836 --> 00:12:06,476 Speaker 1: can actually make things and try them in animals and 204 00:12:06,596 --> 00:12:09,556 Speaker 1: have them make a protein. There's notion that. Now we 205 00:12:09,636 --> 00:12:11,756 Speaker 1: go around saying m RNA is the code of life, 206 00:12:11,796 --> 00:12:13,276 Speaker 1: and we can put it in and we can make 207 00:12:13,316 --> 00:12:16,476 Speaker 1: any protein we want. Yeah, two billion dollars later we 208 00:12:16,476 --> 00:12:19,996 Speaker 1: could do that. But on the early days, nobody had 209 00:12:20,036 --> 00:12:23,036 Speaker 1: shown that you can actually make the correct protein folded 210 00:12:23,076 --> 00:12:26,436 Speaker 1: the correct way in animal models, not to humans yet, 211 00:12:26,716 --> 00:12:28,556 Speaker 1: and so we need to convince ourselves of that. We 212 00:12:28,596 --> 00:12:31,916 Speaker 1: did work on that in small animals mice, and then 213 00:12:31,956 --> 00:12:34,436 Speaker 1: we had to believe is that we could actually somehow 214 00:12:34,756 --> 00:12:37,836 Speaker 1: formulate these things so they can get into cells. A 215 00:12:37,996 --> 00:12:41,156 Speaker 1: year or so nine months, a year of experimental work 216 00:12:41,316 --> 00:12:44,316 Speaker 1: that we engaged with within the context of LSA teen, 217 00:12:44,556 --> 00:12:48,716 Speaker 1: which was renamed a couple of months later Maderna. As 218 00:12:48,716 --> 00:12:51,036 Speaker 1: we started getting ourselves up and running, I just want 219 00:12:51,076 --> 00:12:53,796 Speaker 1: to I just want to pause. So ls eighteen, I 220 00:12:53,836 --> 00:12:56,156 Speaker 1: have the number, right, remember number, that's the point, right, 221 00:12:56,516 --> 00:13:00,196 Speaker 1: LSA teen becomes maderna. But at that time you're not 222 00:13:00,236 --> 00:13:03,156 Speaker 1: even thinking of vaccines yet, is that right? Well, let 223 00:13:03,156 --> 00:13:05,636 Speaker 1: me say this thing. We thought of every possible use 224 00:13:05,676 --> 00:13:08,276 Speaker 1: you could make of every kind of molecule, so vaccines 225 00:13:08,396 --> 00:13:12,436 Speaker 1: was definitely on tables of things we could do. But 226 00:13:12,476 --> 00:13:15,636 Speaker 1: by no means did our preliminary analysis suggest that we 227 00:13:15,676 --> 00:13:19,156 Speaker 1: should do vaccines, let alone only vaccines. And the reason 228 00:13:19,396 --> 00:13:23,916 Speaker 1: was because our dream, our imagination had us making any 229 00:13:23,956 --> 00:13:27,516 Speaker 1: protein in the body, and a relatively small subset of 230 00:13:27,516 --> 00:13:30,356 Speaker 1: the proteins that are made in the body is actually 231 00:13:30,436 --> 00:13:33,516 Speaker 1: for vaccines, and so we were working on cancer and 232 00:13:33,836 --> 00:13:37,356 Speaker 1: we were dreaming of cardiovascular disease. So the vaccine part 233 00:13:37,516 --> 00:13:40,956 Speaker 1: was a transition that started happening three to four years 234 00:13:41,036 --> 00:13:43,196 Speaker 1: into the development of the company, A long time. A 235 00:13:43,236 --> 00:13:46,676 Speaker 1: long time into the company, oh for sure, and probably 236 00:13:47,316 --> 00:13:50,436 Speaker 1: a good billion dollars of capital having gone into it 237 00:13:50,716 --> 00:13:53,996 Speaker 1: before now. Back in twenty fourteen thirteen, when we started 238 00:13:54,036 --> 00:13:57,396 Speaker 1: going down this path, of course, it was a pretty crappy, 239 00:13:57,436 --> 00:14:00,316 Speaker 1: for lack of a better word, marketplace because vaccines were 240 00:14:00,356 --> 00:14:03,716 Speaker 1: the domain of two or three pharma companies that had 241 00:14:03,716 --> 00:14:07,796 Speaker 1: a complete monopoly over the space. The development and regulatory 242 00:14:07,956 --> 00:14:11,796 Speaker 1: approval of them was extremely slow, very very costly, and 243 00:14:11,876 --> 00:14:13,956 Speaker 1: at the end you couldn't charge much for them. So 244 00:14:14,196 --> 00:14:16,556 Speaker 1: the reason the biotech industry, I think it'd be hard 245 00:14:16,556 --> 00:14:20,396 Speaker 1: pressed to find biotech companies that worked on vaccines was that, 246 00:14:20,756 --> 00:14:24,516 Speaker 1: And so investors, capital providers simply didn't want to go 247 00:14:24,596 --> 00:14:27,756 Speaker 1: there because it was generally written off as an area 248 00:14:27,836 --> 00:14:31,036 Speaker 1: for major innovation, but we weren't. We didn't really care 249 00:14:31,036 --> 00:14:33,396 Speaker 1: as much about that because all we wanted was the 250 00:14:33,436 --> 00:14:37,236 Speaker 1: proof of principle in humans that this could even be done. 251 00:14:37,316 --> 00:14:40,476 Speaker 1: You wanted that would work, yeah, in humans, yea. And 252 00:14:40,516 --> 00:14:44,076 Speaker 1: so in twenty fourteen, going into fifteen, we entered our 253 00:14:44,116 --> 00:14:48,236 Speaker 1: first clinical trial with two quite ironic people haven't quite 254 00:14:48,236 --> 00:14:51,116 Speaker 1: realized this yet, ironic in what I would say, two 255 00:14:51,716 --> 00:14:55,436 Speaker 1: strains of influenza that had not previously been in humans, 256 00:14:55,916 --> 00:14:59,196 Speaker 1: for which we wanted to make a prophylactic vaccine in 257 00:14:59,316 --> 00:15:08,996 Speaker 1: case someday they jump from birds or swine into humans. Basically, yeah, exactly. 258 00:15:09,116 --> 00:15:11,556 Speaker 1: So we just took a very safe road, tried it, 259 00:15:11,596 --> 00:15:14,436 Speaker 1: and sure enough we showed in the first instance that 260 00:15:14,436 --> 00:15:17,916 Speaker 1: that first attempt to humans could make neutralizing anybody's to 261 00:15:18,036 --> 00:15:20,716 Speaker 1: both of those trains, and we felt like, Okay, at 262 00:15:20,796 --> 00:15:22,716 Speaker 1: least we know we can make proteins and that they 263 00:15:22,796 --> 00:15:26,796 Speaker 1: do what we say, David, that's five years into it. Great. So, 264 00:15:26,876 --> 00:15:31,116 Speaker 1: because of all of this, because of the decade you'd 265 00:15:31,116 --> 00:15:34,516 Speaker 1: spent figuring out how to build a company that builds companies, 266 00:15:34,876 --> 00:15:38,836 Speaker 1: and then the years after that turning an idea into 267 00:15:38,996 --> 00:15:42,116 Speaker 1: LS eighteen, into Maderna into a company that makes vaccines. 268 00:15:42,156 --> 00:15:47,116 Speaker 1: Because of that whole twenty year arc, you're ready, essentially 269 00:15:47,196 --> 00:15:52,556 Speaker 1: when this new virus emerges at the end of twenty 270 00:15:52,876 --> 00:15:58,436 Speaker 1: nineteen to very quickly make a COVID vaccine exactly that 271 00:15:58,676 --> 00:16:02,196 Speaker 1: we worked for many, many years to put this platform 272 00:16:02,276 --> 00:16:07,876 Speaker 1: into existence. In a minute, the Lightning Round, including new bars, 273 00:16:07,916 --> 00:16:11,716 Speaker 1: tips for solving hard problems, and one weird trick for 274 00:16:11,836 --> 00:16:22,876 Speaker 1: knowing when to shut down a company or a proto company. Okay, 275 00:16:22,956 --> 00:16:25,076 Speaker 1: let's get back to the show. We're going to close 276 00:16:25,076 --> 00:16:27,756 Speaker 1: with the Lightning Round. What's one piece of advice you'd 277 00:16:27,756 --> 00:16:31,596 Speaker 1: give to someone who's working on a hard problem. Work 278 00:16:31,836 --> 00:16:34,836 Speaker 1: both from the present forward, that is, from what you 279 00:16:34,916 --> 00:16:38,636 Speaker 1: know to solve something, and also work future backwards, which is, 280 00:16:38,636 --> 00:16:41,316 Speaker 1: imagine the problem already solved and see if you can 281 00:16:41,396 --> 00:16:44,636 Speaker 1: back trace how you got there. Good. Okay, Two more, 282 00:16:45,796 --> 00:16:49,036 Speaker 1: do you have any rules of thumb for knowing when 283 00:16:49,076 --> 00:16:54,476 Speaker 1: to shut down a project? Not uniform rules, but I 284 00:16:54,516 --> 00:16:58,276 Speaker 1: think that you have to keep the resistance up resistance 285 00:16:58,356 --> 00:17:02,396 Speaker 1: meaning pressure in order for the team to conclude that 286 00:17:02,956 --> 00:17:08,276 Speaker 1: they're going through more and more complicated rationalizations using longer 287 00:17:08,276 --> 00:17:10,876 Speaker 1: and longer sentence is to justify whether its state life 288 00:17:11,236 --> 00:17:13,596 Speaker 1: sentence length is a good is a good heuristic? I 289 00:17:13,676 --> 00:17:15,596 Speaker 1: like that. And by the way, that's one of the 290 00:17:15,596 --> 00:17:18,756 Speaker 1: biggest misunderstood things in the startup world is that more 291 00:17:18,796 --> 00:17:22,836 Speaker 1: money leads to better companies. Lower money can just as 292 00:17:22,876 --> 00:17:26,676 Speaker 1: easily lead to worst companies because it causes persistence of 293 00:17:26,756 --> 00:17:30,516 Speaker 1: companies that don't feel that pressure. And so I think 294 00:17:30,596 --> 00:17:32,916 Speaker 1: one of the key things is the pressure that comes 295 00:17:32,916 --> 00:17:36,156 Speaker 1: from raising capital, the pressure that comes from being challenging. 296 00:17:36,196 --> 00:17:39,036 Speaker 1: I think these are all really really important to produce 297 00:17:39,156 --> 00:17:42,236 Speaker 1: the end result of deciding not to go forward. I 298 00:17:42,276 --> 00:17:44,156 Speaker 1: got to add one question, because you talked about money 299 00:17:44,156 --> 00:17:47,636 Speaker 1: being a problem. You just raised billions of dollars, which, 300 00:17:47,716 --> 00:17:50,596 Speaker 1: on the one hand, congratulations. On the other hand, is 301 00:17:50,636 --> 00:17:52,636 Speaker 1: that going to make it harder to do what you do? 302 00:17:52,716 --> 00:17:55,716 Speaker 1: I mean, there's scale, there's As you've said, having more 303 00:17:55,756 --> 00:17:57,516 Speaker 1: money can make it harder to keep the pressure on. 304 00:17:57,636 --> 00:18:00,196 Speaker 1: Is that hard having all that money? Because it took 305 00:18:00,276 --> 00:18:02,636 Speaker 1: us a long long time to get too larger pools 306 00:18:02,636 --> 00:18:05,596 Speaker 1: of capital. The process and the discipline and the culture 307 00:18:05,716 --> 00:18:08,756 Speaker 1: proceeds the capital and all of those are ways to 308 00:18:09,236 --> 00:18:13,116 Speaker 1: find the capital availability and keep the pressure on. Okay, 309 00:18:13,196 --> 00:18:16,956 Speaker 1: last one, if everything goes well, what problem will you 310 00:18:17,036 --> 00:18:21,516 Speaker 1: be working on in say ten years? Honestly unfathomable. I 311 00:18:21,516 --> 00:18:24,156 Speaker 1: could tell you what problem would be working on today 312 00:18:24,196 --> 00:18:26,396 Speaker 1: ten years ago. Let me answer it in this way. 313 00:18:26,636 --> 00:18:29,236 Speaker 1: We don't start with either problem or solution. We try 314 00:18:29,276 --> 00:18:32,116 Speaker 1: to invent both, make them up, and then we try 315 00:18:32,116 --> 00:18:35,196 Speaker 1: to match them in that regard. What problems will be 316 00:18:35,276 --> 00:18:38,636 Speaker 1: visible even at the horizon and what solutions will be 317 00:18:38,956 --> 00:18:42,356 Speaker 1: imaginable will dictate what we work on. So really the 318 00:18:42,436 --> 00:18:44,276 Speaker 1: answer to the what problem are you going to be 319 00:18:44,276 --> 00:18:46,476 Speaker 1: working on in ten years question is like you don't 320 00:18:46,516 --> 00:18:48,836 Speaker 1: even know the problem yet, And that's sort of the point, Like, 321 00:18:48,876 --> 00:18:52,676 Speaker 1: on some level your job is to add and discover problems, 322 00:18:52,676 --> 00:18:59,676 Speaker 1: both problems and imaginable solutions. Number of Fan is founder 323 00:18:59,716 --> 00:19:03,156 Speaker 1: and CEO of Flagship Pioneering and co founder of Maderna. 324 00:19:04,796 --> 00:19:08,196 Speaker 1: Today's show was produced by Edith Russelo, edited by Robert Smith, 325 00:19:08,516 --> 00:19:12,796 Speaker 1: and engine neared by Amanda ka Wong. I'm Jacob Goldstein. 326 00:19:12,916 --> 00:19:15,276 Speaker 1: We'll be back next week with another episode of What's 327 00:19:15,276 --> 00:19:20,356 Speaker 1: Your Problem