1 00:00:02,440 --> 00:00:07,640 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. All right, let's go 2 00:00:07,640 --> 00:00:11,280 Speaker 1: over now to Washington, because David Rubinstein is just about 3 00:00:11,280 --> 00:00:15,080 Speaker 1: to begin speaking with Eli Lilly's CEO, and this is 4 00:00:15,120 --> 00:00:17,959 Speaker 1: taking place at the Economic Club of Washington. We're going 5 00:00:18,040 --> 00:00:21,120 Speaker 1: to check in with them as a begin to speak. 6 00:00:21,280 --> 00:00:22,000 Speaker 2: Let's listen in. 7 00:00:22,760 --> 00:00:25,760 Speaker 3: Right, I don't know one's paid more than me, but yeah, 8 00:00:26,200 --> 00:00:28,200 Speaker 3: well he shouldn't be paid more than you. But okay, 9 00:00:28,720 --> 00:00:33,000 Speaker 3: so let's talk about these phenomenon that's changed the world 10 00:00:33,159 --> 00:00:37,040 Speaker 3: to some extent. Which is the anti obesity drug. Now, 11 00:00:37,080 --> 00:00:40,440 Speaker 3: to make sure everybody's on the same page links, what 12 00:00:40,600 --> 00:00:42,920 Speaker 3: is the name of your anti obesit drug? 13 00:00:43,280 --> 00:00:48,080 Speaker 4: Okay, so the name is zep bound. The active ingredients 14 00:00:48,080 --> 00:00:49,080 Speaker 4: called their zeppatide. 15 00:00:50,200 --> 00:00:52,120 Speaker 5: So, by the way, who comes up with these names? 16 00:00:52,120 --> 00:00:53,360 Speaker 5: Where do you raise names? 17 00:00:53,640 --> 00:00:55,000 Speaker 2: Not me, David, not me. 18 00:00:55,240 --> 00:00:58,279 Speaker 4: No, it's it's more complicated than we want to talk 19 00:00:58,280 --> 00:01:00,880 Speaker 4: about here. But we can't have names that are similar 20 00:01:00,960 --> 00:01:03,600 Speaker 4: to each other because doctors make prescribing ers. We can't 21 00:01:03,600 --> 00:01:05,960 Speaker 4: have names that make claims about what the drug does, 22 00:01:06,000 --> 00:01:08,559 Speaker 4: and we can't have names that only work in English. 23 00:01:08,640 --> 00:01:10,559 Speaker 2: So we end up with these strange sounding names. 24 00:01:10,760 --> 00:01:14,840 Speaker 3: Ok So, as I understand that number of years ago 25 00:01:14,920 --> 00:01:17,800 Speaker 3: you can tell us how many somebody was working on 26 00:01:17,840 --> 00:01:22,920 Speaker 3: a diabetes related drug and that drug ultimately got. 27 00:01:22,720 --> 00:01:24,120 Speaker 5: To be approved by the FDA. 28 00:01:24,760 --> 00:01:28,280 Speaker 3: But somebody discovered that actually helps you reduce weight. When 29 00:01:28,400 --> 00:01:30,640 Speaker 3: was that discovered and was that ever the intention when 30 00:01:30,640 --> 00:01:31,840 Speaker 3: the drug was being developed? 31 00:01:32,200 --> 00:01:33,479 Speaker 2: Yeah, pretty early on. 32 00:01:33,640 --> 00:01:36,360 Speaker 4: So we launched the first GLP one medication in the 33 00:01:36,400 --> 00:01:37,440 Speaker 4: world in two thousand and five. 34 00:01:37,480 --> 00:01:38,679 Speaker 2: It was called extend the Tide. 35 00:01:39,040 --> 00:01:41,800 Speaker 4: It was a twice daily injection and it was indicated 36 00:01:41,800 --> 00:01:45,360 Speaker 4: for people with diabetes. Like a lot of things in medicine, 37 00:01:45,480 --> 00:01:47,960 Speaker 4: there's like iterative steps of improvement that occurred. 38 00:01:47,960 --> 00:01:49,200 Speaker 2: But that was the first effort. 39 00:01:49,480 --> 00:01:51,600 Speaker 4: On the cover of our the next year, our annual 40 00:01:51,600 --> 00:01:53,400 Speaker 4: report is a woman who was using the drug and 41 00:01:53,480 --> 00:01:55,880 Speaker 4: she said, my diabetes is under control, and I noticed 42 00:01:55,880 --> 00:01:58,040 Speaker 4: I'm losing a little weight. Actually two thousand and six, 43 00:01:58,360 --> 00:02:01,120 Speaker 4: it's a cover of our anal report. But we had 44 00:02:01,120 --> 00:02:05,160 Speaker 4: to improve the medicines to really make them effective for 45 00:02:05,200 --> 00:02:10,120 Speaker 4: weight loss. One big improvement was to make them weekly. 46 00:02:10,360 --> 00:02:16,120 Speaker 4: That's a convenience benefit, but even more important, the action 47 00:02:16,200 --> 00:02:19,160 Speaker 4: of the medicine flatter, meaning more consistent through the day 48 00:02:19,200 --> 00:02:21,560 Speaker 4: and night. When we had it twice a day, there 49 00:02:21,560 --> 00:02:24,520 Speaker 4: were ups and downs, and one effect of GLP one 50 00:02:24,600 --> 00:02:28,600 Speaker 4: medications is they cause nausea and other gi distress. That's 51 00:02:28,600 --> 00:02:31,119 Speaker 4: a function of the up and down in your system. 52 00:02:31,440 --> 00:02:33,320 Speaker 4: So when we made it weekly, it was flatter and 53 00:02:33,360 --> 00:02:36,760 Speaker 4: we could dose higher to see more weight loss. So 54 00:02:36,800 --> 00:02:39,160 Speaker 4: that was sort of an accidental breakthrough of trying to 55 00:02:39,160 --> 00:02:41,519 Speaker 4: make a more convenient form. 56 00:02:41,600 --> 00:02:44,080 Speaker 3: So now there's another company that is sort of in 57 00:02:44,120 --> 00:02:48,919 Speaker 3: the same business, Novode nord Is Yes, which is in Denmark, 58 00:02:49,480 --> 00:02:52,960 Speaker 3: and they have a similar product, and they have a 59 00:02:53,080 --> 00:02:56,160 Speaker 3: product that does the same thing. One is for o 60 00:02:56,600 --> 00:03:00,320 Speaker 3: antiobesity and one is for diabetes and correct is there 61 00:03:00,400 --> 00:03:03,600 Speaker 3: really any difference between the two of your drugs In 62 00:03:03,680 --> 00:03:05,079 Speaker 3: terms of the drugs, there are. 63 00:03:05,120 --> 00:03:07,840 Speaker 4: There's no difference really between the name the drug that's 64 00:03:07,919 --> 00:03:10,640 Speaker 4: named for diabetes versus name for Obesit for either company. 65 00:03:10,680 --> 00:03:12,800 Speaker 4: We do that for insurance reasons. We could talk about. 66 00:03:13,240 --> 00:03:16,520 Speaker 4: But trezepetide is the latest version. It has two modes 67 00:03:16,520 --> 00:03:19,280 Speaker 4: of action. So and by the way, we're having a 68 00:03:19,280 --> 00:03:22,919 Speaker 4: conversation about weight loss medications. Right after you just ate lunch, 69 00:03:23,760 --> 00:03:26,960 Speaker 4: and I know that that may cost some anxiety, but 70 00:03:28,080 --> 00:03:31,399 Speaker 4: right now because you just ate lunch, your GI track 71 00:03:31,560 --> 00:03:33,160 Speaker 4: is communicating with the rest of your body. 72 00:03:33,200 --> 00:03:34,120 Speaker 2: It's communicating with. 73 00:03:34,080 --> 00:03:37,440 Speaker 4: Hormones or proteins and telling it that you've been fed 74 00:03:37,880 --> 00:03:40,720 Speaker 4: and you need to absorb nutrients and other things that 75 00:03:40,800 --> 00:03:45,040 Speaker 4: are essentible life because food is essential life. What we're 76 00:03:45,080 --> 00:03:47,960 Speaker 4: doing is boosting some of those signals with these medications. 77 00:03:48,280 --> 00:03:51,680 Speaker 4: They're boosting the signal that you're full, boosting the signal 78 00:03:51,680 --> 00:03:53,200 Speaker 4: that you no longer want to eat more in boosting 79 00:03:53,240 --> 00:03:57,320 Speaker 4: signals that you should absorb nutrients that you've consumed, and 80 00:03:57,360 --> 00:04:00,800 Speaker 4: so ours does that with two different hormones, one called 81 00:04:00,840 --> 00:04:04,960 Speaker 4: GLP one, another new one called gip ozepic or semaglue 82 00:04:05,000 --> 00:04:06,320 Speaker 4: tide just uses GLP one. 83 00:04:06,720 --> 00:04:09,120 Speaker 3: But what the drug does is what it tells your 84 00:04:09,160 --> 00:04:11,240 Speaker 3: body you're full when you're maybe not as full as 85 00:04:11,280 --> 00:04:11,800 Speaker 3: you used to be. 86 00:04:12,440 --> 00:04:17,640 Speaker 4: Yeah, well, so it tells your body your full, and 87 00:04:18,000 --> 00:04:21,600 Speaker 4: it does that to the brain sense of saiety. Probably 88 00:04:21,640 --> 00:04:26,080 Speaker 4: we've learned over time our sense of fullness becomes conditional. 89 00:04:26,600 --> 00:04:30,800 Speaker 4: So as people eat more habitually, that signal kicks in 90 00:04:30,880 --> 00:04:35,560 Speaker 4: later and later, and that's a cause and consequence of obesity. 91 00:04:36,320 --> 00:04:39,080 Speaker 4: It does other things too, It actually makes your stomach 92 00:04:39,560 --> 00:04:43,440 Speaker 4: fuller because it slows gastric motility, so it slows down 93 00:04:43,480 --> 00:04:49,360 Speaker 4: your nutrients, which seems counterintuitive, but when you eat in 94 00:04:49,640 --> 00:04:51,800 Speaker 4: when we our ancestors were alive ten thousand years ago, 95 00:04:51,880 --> 00:04:53,680 Speaker 4: meals were rare and you want to absorb all the 96 00:04:53,760 --> 00:04:56,400 Speaker 4: nutrients out of it. So that signal said, absorb the nutrients. 97 00:04:56,520 --> 00:04:56,800 Speaker 2: All right. 98 00:04:56,800 --> 00:04:59,120 Speaker 3: I don't want to confuse people, but there are four 99 00:04:59,279 --> 00:05:01,920 Speaker 3: different names that people should know for these drugs. Now 100 00:05:01,960 --> 00:05:05,120 Speaker 3: you have an anti BCD drug which is called what 101 00:05:05,400 --> 00:05:07,680 Speaker 3: zep bound bound, and then you have a diabetes drug 102 00:05:07,720 --> 00:05:08,120 Speaker 3: which is. 103 00:05:08,040 --> 00:05:10,839 Speaker 2: Called Manjaro, same medicine, different. 104 00:05:10,600 --> 00:05:11,520 Speaker 5: Name, different names. 105 00:05:11,760 --> 00:05:15,120 Speaker 3: And then Novo Nordis Nordisk has two drugs. 106 00:05:15,320 --> 00:05:18,680 Speaker 2: Their names are Ozempic and we go vy All. 107 00:05:18,760 --> 00:05:21,440 Speaker 4: Both are semiglue tide, same medicine, two different names. 108 00:05:21,600 --> 00:05:24,920 Speaker 3: But the confusing thing is Ozempic is like it's like 109 00:05:24,960 --> 00:05:27,600 Speaker 3: a generic name. People say, I'm on ozempic. Ozempic is 110 00:05:27,640 --> 00:05:31,160 Speaker 3: not the anti obesity drug, it's the diabetes ibtes drug. 111 00:05:31,240 --> 00:05:33,960 Speaker 5: So why is it? Why don't people get the right names? 112 00:05:36,040 --> 00:05:39,960 Speaker 2: Should we blame the media? I don't know. It was 113 00:05:40,000 --> 00:05:40,920 Speaker 2: the first. 114 00:05:42,440 --> 00:05:46,360 Speaker 4: Drug that began to be used off label for obesity, 115 00:05:47,800 --> 00:05:50,680 Speaker 4: and again it was a flat once a week, and 116 00:05:50,680 --> 00:05:53,440 Speaker 4: people discovered if I just give take more than prescribed, 117 00:05:53,680 --> 00:05:56,080 Speaker 4: I can lose more weight. And then Novo did a 118 00:05:56,120 --> 00:05:59,720 Speaker 4: study credit to them that showed clinically that people lose 119 00:05:59,760 --> 00:06:00,880 Speaker 4: clin meaningful. 120 00:06:00,640 --> 00:06:02,480 Speaker 2: Weight on their medicine. 121 00:06:02,520 --> 00:06:04,600 Speaker 4: You lose you know, thirteen to fifteen percent of your 122 00:06:04,600 --> 00:06:07,560 Speaker 4: body weight. On ours, you lose you know, twenty to 123 00:06:07,600 --> 00:06:08,440 Speaker 4: twenty six percent. 124 00:06:08,520 --> 00:06:10,440 Speaker 3: Well, let me go through that again, because there was 125 00:06:10,440 --> 00:06:12,400 Speaker 3: a study. It was just came out a couple of 126 00:06:12,520 --> 00:06:15,520 Speaker 3: days ago. I think that said one on one comparing 127 00:06:15,600 --> 00:06:21,360 Speaker 3: the two. Your drug anti obese drug loses weight more 128 00:06:21,480 --> 00:06:23,919 Speaker 3: rapidly for people than the other product. 129 00:06:23,960 --> 00:06:25,720 Speaker 2: Is that rapidly? And more so? 130 00:06:26,000 --> 00:06:29,320 Speaker 4: Forty seven percent more so After a year and a half, roughly, 131 00:06:29,680 --> 00:06:31,680 Speaker 4: people on our drug loss seventeen more. 132 00:06:31,600 --> 00:06:33,200 Speaker 2: Pounds then on we go. 133 00:06:33,240 --> 00:06:35,720 Speaker 3: I know people need to lose so much weight in 134 00:06:35,760 --> 00:06:38,400 Speaker 3: this country. Our country has as I got it right, 135 00:06:38,520 --> 00:06:41,400 Speaker 3: seventy five percent of the people are overweight and forty 136 00:06:41,400 --> 00:06:44,240 Speaker 3: two percent are obese. When did that happen when we 137 00:06:44,279 --> 00:06:46,920 Speaker 3: went to no fat fruit? Or when did all of 138 00:06:46,960 --> 00:06:48,600 Speaker 3: a sudden we become so obese? 139 00:06:49,240 --> 00:06:52,240 Speaker 4: Yeah, if you look at the epidemiology charts. It really 140 00:06:52,440 --> 00:06:56,279 Speaker 4: seems to have started in the sixties growth in overweight 141 00:06:56,320 --> 00:07:00,400 Speaker 4: and obesit in the country, and really excel righted in 142 00:07:00,400 --> 00:07:01,480 Speaker 4: the eighties and nineties. 143 00:07:01,920 --> 00:07:04,719 Speaker 2: So what are the reasons? 144 00:07:04,960 --> 00:07:09,279 Speaker 4: How we live certainly is one of them, and energy 145 00:07:09,279 --> 00:07:11,960 Speaker 4: expenditure has to be part of the story. What we eat, though, 146 00:07:12,400 --> 00:07:15,960 Speaker 4: is probably a more important reason, not just the quantity 147 00:07:16,000 --> 00:07:20,160 Speaker 4: which has risen modestly through that period of time, but 148 00:07:20,240 --> 00:07:23,040 Speaker 4: actually what's in our food has changed, and I think 149 00:07:23,080 --> 00:07:25,160 Speaker 4: that's also attributed to this. 150 00:07:25,320 --> 00:07:26,640 Speaker 5: All right, So back to the drug. 151 00:07:27,200 --> 00:07:30,440 Speaker 3: When you realized it could lose weight, did you get 152 00:07:30,440 --> 00:07:32,960 Speaker 3: the FDA to say, yes, it can be prescribed for 153 00:07:33,080 --> 00:07:35,680 Speaker 3: losing weight or it's still you can't get that prescribed 154 00:07:35,680 --> 00:07:35,920 Speaker 3: for you. 155 00:07:36,240 --> 00:07:36,400 Speaker 2: No. 156 00:07:36,400 --> 00:07:36,480 Speaker 6: No. 157 00:07:36,800 --> 00:07:39,560 Speaker 4: As of last year, we zetbound launched It's for weight 158 00:07:39,600 --> 00:07:41,840 Speaker 4: loss for people who have high body weight. 159 00:07:42,280 --> 00:07:45,920 Speaker 3: And do insurance companies reimburse people for the cost of 160 00:07:45,960 --> 00:07:46,640 Speaker 3: these drugs? 161 00:07:46,840 --> 00:07:52,640 Speaker 4: Some do, more should so as of today, the federal 162 00:07:52,640 --> 00:07:56,000 Speaker 4: government actually has a prohibition on reimbursing any of these drugs, 163 00:07:57,080 --> 00:07:59,720 Speaker 4: which is a problem I think, although the Biden administration 164 00:07:59,880 --> 00:08:03,280 Speaker 4: just advanced rulemaking to change that. That's good news and 165 00:08:03,320 --> 00:08:06,920 Speaker 4: we hope the next administration will continue that process. Seventeen 166 00:08:06,960 --> 00:08:10,240 Speaker 4: states in their Medicaid program have decided to step outside 167 00:08:10,240 --> 00:08:13,400 Speaker 4: of that federal rule and reimburse them anyway. So California 168 00:08:13,600 --> 00:08:17,440 Speaker 4: just started, for instance, Massachusetts, other states and then about 169 00:08:17,480 --> 00:08:22,200 Speaker 4: sixty percent of employers have some form of reimbursement. 170 00:08:22,520 --> 00:08:25,960 Speaker 3: So if losing weight makes you healthier, why would people 171 00:08:25,960 --> 00:08:29,800 Speaker 3: who care about insurance reimbursement medicare and not insist on 172 00:08:30,480 --> 00:08:32,240 Speaker 3: paying for this because it would make you healthier and 173 00:08:32,280 --> 00:08:34,480 Speaker 3: therefore you don't have other diseases you have that they 174 00:08:34,480 --> 00:08:35,360 Speaker 3: have to reimburse you for. 175 00:08:35,600 --> 00:08:37,320 Speaker 4: I think in four or five years, we'll look back 176 00:08:37,320 --> 00:08:40,320 Speaker 4: and say, yeah, that's what should have happened, and it's 177 00:08:40,320 --> 00:08:43,040 Speaker 4: silly that we don't pay for what is already known 178 00:08:43,120 --> 00:08:45,839 Speaker 4: to be a primary contributor to poor health, which is 179 00:08:45,880 --> 00:08:46,720 Speaker 4: excess body weight. 180 00:08:47,120 --> 00:08:50,360 Speaker 2: But you do, people have different motives and incentives. 181 00:08:50,640 --> 00:08:54,280 Speaker 4: As you know, we re enroll in commercial assurance every year. 182 00:08:54,440 --> 00:08:57,160 Speaker 4: So unfortunately, I don't think insurance companies have your best 183 00:08:57,160 --> 00:09:01,720 Speaker 4: interest at heart. Maybe that's tough to say, but they 184 00:09:01,840 --> 00:09:03,800 Speaker 4: really think about it in one year increments and the 185 00:09:03,800 --> 00:09:06,280 Speaker 4: benefits surely will play out over a longer period of time. 186 00:09:06,559 --> 00:09:09,200 Speaker 4: Maybe your employer has a stronger interest in your long 187 00:09:09,280 --> 00:09:12,240 Speaker 4: term health. That's probably why many have stepped forward. 188 00:09:12,320 --> 00:09:13,040 Speaker 2: And then evidence. 189 00:09:13,080 --> 00:09:15,400 Speaker 4: Our job is to make the evidence produce the evidence 190 00:09:15,440 --> 00:09:18,400 Speaker 4: that we're not just having people lose weight, but losing 191 00:09:18,440 --> 00:09:21,240 Speaker 4: weight with our medicine causes improved health. And we have 192 00:09:21,280 --> 00:09:23,599 Speaker 4: many studies out this year that are demonstrating that. 193 00:09:23,800 --> 00:09:26,920 Speaker 3: So to take this medicine, you have to inject yourself, correct. 194 00:09:26,880 --> 00:09:28,720 Speaker 5: Us, Yeah, well why not just go to a pill? 195 00:09:29,679 --> 00:09:32,920 Speaker 2: A great idea. Yeah, we're working on that. 196 00:09:34,320 --> 00:09:37,560 Speaker 4: The injection you have to inject because it's a protein 197 00:09:37,679 --> 00:09:41,959 Speaker 4: and if we orally take proteins, your body thinks it's 198 00:09:41,960 --> 00:09:44,600 Speaker 4: food and it breaks up proteins, so you cannot really 199 00:09:44,600 --> 00:09:46,640 Speaker 4: take these drugs or eily. You have to bypass the 200 00:09:46,640 --> 00:09:49,760 Speaker 4: GI track even though it's affecting, and go right to 201 00:09:49,800 --> 00:09:52,880 Speaker 4: the bloodstream. But we are working on a pill. We'll 202 00:09:52,880 --> 00:09:56,040 Speaker 4: have some data actually as early as next year. It's 203 00:09:56,040 --> 00:09:58,000 Speaker 4: a GLP one only it's a single acting It's not 204 00:09:58,040 --> 00:09:59,599 Speaker 4: going to be as good as yours appetiteer as that 205 00:09:59,679 --> 00:10:02,520 Speaker 4: found be about as good as oozempic, we hope, and 206 00:10:02,559 --> 00:10:03,960 Speaker 4: this would be a once daily pill. 207 00:10:04,000 --> 00:10:06,240 Speaker 2: That'll be a fantastic innovation. 208 00:10:06,320 --> 00:10:09,160 Speaker 3: So when you have drugs that are very very popular 209 00:10:09,880 --> 00:10:13,400 Speaker 3: that you often have people that make counterfeit or copycat drugs. 210 00:10:13,920 --> 00:10:16,880 Speaker 3: We see them on television all the time advertise, right, 211 00:10:17,320 --> 00:10:19,440 Speaker 3: what about for this do you have to worry about 212 00:10:19,480 --> 00:10:21,800 Speaker 3: counterfeit drugs coming in that are trying to say the 213 00:10:21,800 --> 00:10:22,199 Speaker 3: same thing. 214 00:10:22,320 --> 00:10:24,880 Speaker 4: It's a terrible problem right now, actually, because I think 215 00:10:24,920 --> 00:10:26,480 Speaker 4: consumers don't really know. 216 00:10:26,600 --> 00:10:27,920 Speaker 2: The dangers or the difference. 217 00:10:29,040 --> 00:10:32,720 Speaker 4: Today, the FDA and the government has allowed this to 218 00:10:32,880 --> 00:10:36,320 Speaker 4: sort of grow. And of course a weight loss medication 219 00:10:36,360 --> 00:10:38,520 Speaker 4: that's effective would be a popular thing for people to 220 00:10:38,880 --> 00:10:41,320 Speaker 4: go around the healthier system and seek treatment on their own. 221 00:10:41,960 --> 00:10:43,960 Speaker 4: But the data we have is that eighty percent of 222 00:10:44,000 --> 00:10:47,400 Speaker 4: these medicines are coming out of China from unapproved and 223 00:10:47,480 --> 00:10:52,600 Speaker 4: unregulated sources. We recently with Borders and Customs seized a 224 00:10:52,760 --> 00:10:57,640 Speaker 4: big batch that was shipped in dog food. People then 225 00:10:57,720 --> 00:11:01,800 Speaker 4: reformulate them and sell them locally in meds and other outfits. 226 00:11:01,840 --> 00:11:04,080 Speaker 4: But you really don't know what's in that bile. We 227 00:11:04,120 --> 00:11:08,000 Speaker 4: buy them and test them, we find bacteria, plant material, viruses, fungus. 228 00:11:08,600 --> 00:11:09,600 Speaker 2: You do not want to be using. 229 00:11:09,880 --> 00:11:13,320 Speaker 3: See, But these counterfeit drugs are not like they're cheaper. 230 00:11:13,840 --> 00:11:16,480 Speaker 3: They're cheaper because they don't have the same ingredients I assume. 231 00:11:16,760 --> 00:11:19,839 Speaker 3: But how much more expensive are your drugs than the 232 00:11:20,360 --> 00:11:22,520 Speaker 3: counterfeit ones? In other words, if somebody wants to use 233 00:11:23,600 --> 00:11:27,720 Speaker 3: your product, zep bound, how much does it cost a month? 234 00:11:27,840 --> 00:11:30,000 Speaker 4: You can buy zet bound direct from Lily for three 235 00:11:30,120 --> 00:11:31,840 Speaker 4: ninety nine for the starter dose. 236 00:11:31,640 --> 00:11:33,240 Speaker 5: Eight dollars and ninety nine cents. 237 00:11:33,280 --> 00:11:36,760 Speaker 4: No, this is a valuable innovation, David. 238 00:11:37,120 --> 00:11:40,080 Speaker 2: Three hundred ninety nine, three dred and ninety. 239 00:11:39,920 --> 00:11:42,440 Speaker 4: Nine dollars a month, all right, which is about one 240 00:11:42,480 --> 00:11:44,400 Speaker 4: hundred dollars a week. And I know that's a sacrifice 241 00:11:44,400 --> 00:11:48,600 Speaker 4: for many, but that's without insurance. With insurance, most people 242 00:11:48,640 --> 00:11:51,959 Speaker 4: pay twenty five dollars a month. So that's the importance 243 00:11:51,960 --> 00:11:54,040 Speaker 4: of insurance. That's why we buy insurance to shield us 244 00:11:54,080 --> 00:11:56,760 Speaker 4: from our health costs. The online ones, you know, are 245 00:11:56,760 --> 00:11:59,800 Speaker 4: as cheap as one hundred dollars. But these are companies 246 00:11:59,840 --> 00:12:01,920 Speaker 4: that want all the benefits of being a drug company 247 00:12:01,920 --> 00:12:03,359 Speaker 4: but bear none of the responsibilities. 248 00:12:03,400 --> 00:12:07,280 Speaker 3: But you, for example, you have this underpatent for how 249 00:12:07,320 --> 00:12:09,760 Speaker 3: many years? In other words, our system is you have 250 00:12:09,800 --> 00:12:13,120 Speaker 3: a drug, you have twenty years from invention. Yeah, from events. 251 00:12:13,120 --> 00:12:14,800 Speaker 3: So how many more years do you have before it 252 00:12:14,800 --> 00:12:15,439 Speaker 3: goes generic? 253 00:12:15,559 --> 00:12:18,839 Speaker 4: Until mid twenty thirties? Yeah, so another ten eleven years. 254 00:12:19,000 --> 00:12:22,160 Speaker 3: Okay, And is this the most popular drug that Eli 255 00:12:22,200 --> 00:12:23,120 Speaker 3: Lilly has ever had? 256 00:12:23,559 --> 00:12:25,840 Speaker 4: Should be by the end of the year, Yeah, break 257 00:12:25,840 --> 00:12:28,079 Speaker 4: that record and go beyond probably right. 258 00:12:28,120 --> 00:12:30,360 Speaker 3: Some people say that if you go on this drug, 259 00:12:30,480 --> 00:12:34,040 Speaker 3: you have side effects that are not completely desirable. 260 00:12:34,320 --> 00:12:35,160 Speaker 5: Is that true? 261 00:12:35,400 --> 00:12:38,640 Speaker 4: So yeah, there's two things to all drugs that work 262 00:12:38,720 --> 00:12:41,920 Speaker 4: have side effects and sometimes on tour effects, and we 263 00:12:42,000 --> 00:12:44,240 Speaker 4: have to warn against both of those. That's why we 264 00:12:44,280 --> 00:12:47,400 Speaker 4: do controlled studies and measure them carefully. Many people have 265 00:12:47,960 --> 00:12:51,120 Speaker 4: mild to moderate GI distress when they start, that's why 266 00:12:51,120 --> 00:12:53,160 Speaker 4: we ty trade. We started a low dose, We recommend 267 00:12:53,320 --> 00:12:56,760 Speaker 4: a low dose and go up slowly. Almost everybody stays 268 00:12:56,880 --> 00:12:59,360 Speaker 4: on the drug and goes through that and by the 269 00:12:59,440 --> 00:13:02,400 Speaker 4: third or fourth really don't have any effects any more 270 00:13:02,440 --> 00:13:04,840 Speaker 4: of that at all. There are a few people where 271 00:13:04,840 --> 00:13:07,800 Speaker 4: we don't have data or we are cautious. One is 272 00:13:08,520 --> 00:13:12,160 Speaker 4: women who could become pregnant. Neither of the medications have 273 00:13:12,559 --> 00:13:15,679 Speaker 4: information about that. And then there's a condition called pancreatitis, 274 00:13:15,720 --> 00:13:18,120 Speaker 4: which is sort of an inflamed pancreas. We worry about 275 00:13:18,120 --> 00:13:19,840 Speaker 4: that with these drugs. So if you've had a history that, 276 00:13:19,920 --> 00:13:20,440 Speaker 4: don't use them. 277 00:13:20,679 --> 00:13:23,040 Speaker 3: Let's suppose you take the drug and say, I've lost weight, 278 00:13:23,400 --> 00:13:24,760 Speaker 3: I'm very happy with my body. 279 00:13:24,800 --> 00:13:26,120 Speaker 5: Now I'm going to get off the drug. 280 00:13:26,400 --> 00:13:29,400 Speaker 3: Some people say that there are it's very difficult to 281 00:13:29,440 --> 00:13:30,400 Speaker 3: not regain the weight. 282 00:13:31,000 --> 00:13:33,480 Speaker 4: That's right, and science tells us that there's a reason 283 00:13:33,520 --> 00:13:39,120 Speaker 4: for that. Some people do maintain the weight reduction or 284 00:13:39,280 --> 00:13:42,120 Speaker 4: stay in that range, they have to change a lot 285 00:13:42,160 --> 00:13:45,240 Speaker 4: about how they live, burn more energy, eat different foods. 286 00:13:45,440 --> 00:13:47,199 Speaker 4: So we can all try that. I think we should 287 00:13:47,200 --> 00:13:51,280 Speaker 4: all try that, actually, but some people cannot. And there's 288 00:13:51,280 --> 00:13:55,080 Speaker 4: a recent paper in Nature that actually told us why, 289 00:13:55,160 --> 00:13:59,160 Speaker 4: which is that once have become obese, your fat sales 290 00:13:59,240 --> 00:14:02,520 Speaker 4: learned that that's their new state, and they defend that state, 291 00:14:03,360 --> 00:14:07,240 Speaker 4: and so they're actually wanting more energy and that sends 292 00:14:07,240 --> 00:14:09,600 Speaker 4: signals to your brain and so forth. So once we 293 00:14:10,160 --> 00:14:12,920 Speaker 4: as adults gain weight and have that on for a while, 294 00:14:13,200 --> 00:14:16,319 Speaker 4: it's very very difficult to reset your thermostat if you 295 00:14:16,320 --> 00:14:19,840 Speaker 4: would to reset that level. So for now we do 296 00:14:19,880 --> 00:14:23,240 Speaker 4: recommend if they can't. People cannot maintain weight loss off 297 00:14:23,280 --> 00:14:25,560 Speaker 4: the drug to go back on the drugs and use 298 00:14:25,600 --> 00:14:26,200 Speaker 4: them chronically. 299 00:14:26,280 --> 00:14:29,200 Speaker 3: So we do put fluoride in the water now, or 300 00:14:29,200 --> 00:14:32,520 Speaker 3: at least for the time being. What about putting this 301 00:14:32,600 --> 00:14:36,040 Speaker 3: in the water and just solve all the problems, Well. 302 00:14:35,880 --> 00:14:37,480 Speaker 2: We couldn't. We shouldn't put it in the water. 303 00:14:37,600 --> 00:14:40,120 Speaker 4: People should use it under the guidance of their doctors. 304 00:14:40,480 --> 00:14:45,760 Speaker 4: But we should have broad coverage, just like we think 305 00:14:46,040 --> 00:14:49,720 Speaker 4: it would be crazy if we didn't have antihypertensive medications 306 00:14:50,000 --> 00:14:51,640 Speaker 4: available to all adults in America. 307 00:14:51,480 --> 00:14:52,920 Speaker 2: Or anti diabetes medications. 308 00:14:53,360 --> 00:14:57,720 Speaker 4: Obesity causes two hundred and thirty six adult diseases, and 309 00:14:58,320 --> 00:15:00,400 Speaker 4: we know it's a precursor for these things. Why not 310 00:15:00,480 --> 00:15:03,600 Speaker 4: try to prevent it. We have a stigma in our 311 00:15:03,640 --> 00:15:05,480 Speaker 4: country and in many other countries that this is sort 312 00:15:05,480 --> 00:15:09,520 Speaker 4: of some personal failing. But many of us we're here 313 00:15:09,600 --> 00:15:12,680 Speaker 4: because our ancestors can served energy very effectively. That's how 314 00:15:12,720 --> 00:15:15,680 Speaker 4: they survive famines and floods and so forth. So we're 315 00:15:15,720 --> 00:15:18,800 Speaker 4: pre determined to want to keep weight on by our 316 00:15:18,840 --> 00:15:22,760 Speaker 4: genetic background, and we in a world of plenty of abundance, 317 00:15:23,600 --> 00:15:26,640 Speaker 4: we need to probably have some medical help sometimes. 318 00:15:26,280 --> 00:15:28,760 Speaker 3: So what about over the counter. Why can't this just 319 00:15:28,800 --> 00:15:30,320 Speaker 3: be an over the counter drug. You're going just go 320 00:15:30,320 --> 00:15:31,640 Speaker 3: buy it like an AskMen or something. 321 00:15:31,720 --> 00:15:34,280 Speaker 2: Yeah. I think we'll try to work on that through time. 322 00:15:34,320 --> 00:15:36,680 Speaker 4: The oral pill we have is a great candada for that, 323 00:15:36,720 --> 00:15:39,600 Speaker 4: because that's much easier to dispense in that kind of 324 00:15:39,600 --> 00:15:43,240 Speaker 4: pharmacy setting, and we'll need to get more evidence that 325 00:15:43,480 --> 00:15:46,720 Speaker 4: it's broadly safe. Here you don't have the doctors supervision piece, 326 00:15:47,040 --> 00:15:49,400 Speaker 4: so we would want to make sure, particularly develop data 327 00:15:49,440 --> 00:15:51,760 Speaker 4: and pregnant women in other settings to make sure that 328 00:15:51,760 --> 00:15:53,280 Speaker 4: that could be safely done. But we would have an 329 00:15:53,280 --> 00:15:56,760 Speaker 4: interest in expanding access for this medication and reducing the price. 330 00:15:56,960 --> 00:15:58,760 Speaker 3: So how many times a day do you going to 331 00:15:58,800 --> 00:16:01,480 Speaker 3: ask about this drug today? 332 00:16:01,520 --> 00:16:02,120 Speaker 5: Hour on the hour? 333 00:16:02,480 --> 00:16:05,520 Speaker 2: Yeah? Many, yeah, dozens. Yeah. 334 00:16:05,920 --> 00:16:07,480 Speaker 4: And it's a pleasure to talk about it because it's 335 00:16:07,480 --> 00:16:08,160 Speaker 4: such a breakthrough. 336 00:16:08,320 --> 00:16:09,400 Speaker 2: It can change our country. 337 00:16:09,440 --> 00:16:12,080 Speaker 3: But nobody really expected that to happen. As you point out, 338 00:16:12,080 --> 00:16:15,760 Speaker 3: sometimes things happen unexpectedly. So let's talk about some other 339 00:16:17,080 --> 00:16:19,960 Speaker 3: things for a while. Let's talk about Eli Lilly itself. 340 00:16:20,520 --> 00:16:21,960 Speaker 3: When was this company started? 341 00:16:22,680 --> 00:16:26,240 Speaker 4: Yeah, eighteen seventy six, so started by a Colonel Eli 342 00:16:26,240 --> 00:16:28,440 Speaker 4: Lilly who served in the Civil War. He was a 343 00:16:28,440 --> 00:16:33,760 Speaker 4: pharmacist by training, led infantry and artillery company and was 344 00:16:33,800 --> 00:16:36,680 Speaker 4: a prisoner of war in Alabama actually, and he saw 345 00:16:36,760 --> 00:16:38,760 Speaker 4: firsthand the atrocities of. 346 00:16:38,720 --> 00:16:39,880 Speaker 2: Medical care in the Civil War. 347 00:16:39,920 --> 00:16:42,120 Speaker 4: You may know, you know, your student of history, that 348 00:16:42,240 --> 00:16:46,120 Speaker 4: more people died after injury than from their injury due 349 00:16:46,120 --> 00:16:48,760 Speaker 4: to medical care. And at the time this was an 350 00:16:48,800 --> 00:16:52,360 Speaker 4: air of snake oil salesman. Medicine wasn't very advanced, but 351 00:16:52,440 --> 00:16:55,600 Speaker 4: what we thought of medicine often was back to the 352 00:16:55,640 --> 00:17:00,280 Speaker 4: counterfeiting discussion, you know, made up things, harmful ingredients. So 353 00:17:00,320 --> 00:17:02,520 Speaker 4: he started a company with a pledge to say everything 354 00:17:02,560 --> 00:17:03,960 Speaker 4: that's in this is on the label. 355 00:17:05,160 --> 00:17:07,680 Speaker 2: If it's in there, you know about it. 356 00:17:07,760 --> 00:17:12,680 Speaker 4: Transparency, and that then evolved into a company that embraced 357 00:17:12,680 --> 00:17:17,119 Speaker 4: the scientific method and began to really adopt the methods 358 00:17:17,160 --> 00:17:20,199 Speaker 4: that the modern industry has, which is then taking natural products, 359 00:17:20,200 --> 00:17:22,280 Speaker 4: which is what most medicines were in eighteen seventy six, 360 00:17:22,600 --> 00:17:25,240 Speaker 4: and refining them into what we think of as medicine now. 361 00:17:25,280 --> 00:17:29,760 Speaker 4: So thank Willow bark into aspirin or pancreases of cows 362 00:17:29,800 --> 00:17:30,440 Speaker 4: into insulin. 363 00:17:31,400 --> 00:17:33,080 Speaker 2: That's what the company really was built on. 364 00:17:33,840 --> 00:17:36,360 Speaker 5: How long did he live after he started the company. 365 00:17:36,000 --> 00:17:38,600 Speaker 4: About twenty five years and he handed the keys to 366 00:17:38,640 --> 00:17:41,679 Speaker 4: his son JK. Lilly, who handed the keys to his 367 00:17:41,800 --> 00:17:44,919 Speaker 4: two sons, also named Eli and JK. That's a little odd, 368 00:17:45,880 --> 00:17:48,679 Speaker 4: but for three generations it was a family run business. 369 00:17:48,840 --> 00:17:52,679 Speaker 5: Yeah, and the family is not an owner now not well. 370 00:17:52,600 --> 00:17:55,640 Speaker 4: So the legacy wealth of the family is our largest shareholder, 371 00:17:55,680 --> 00:17:56,560 Speaker 4: the Lily Endowment. 372 00:17:56,640 --> 00:17:59,000 Speaker 3: So that only endowment is now probably the biggest foundation 373 00:17:59,040 --> 00:18:03,000 Speaker 3: in the United States. Eighty billion dollars of assets Onner Management, right, yep. 374 00:18:03,080 --> 00:18:05,840 Speaker 2: And they have one asset essentially, which is okay. 375 00:18:05,560 --> 00:18:08,520 Speaker 5: And they're your biggest shareholder. Yeah, so okay. 376 00:18:08,640 --> 00:18:12,080 Speaker 3: So when Eli Lilly evolved over the years in the 377 00:18:12,080 --> 00:18:14,280 Speaker 3: twentieth century, what were its big products? 378 00:18:14,400 --> 00:18:17,280 Speaker 4: Yeah, so insulin really was the birth of the modern company. 379 00:18:17,640 --> 00:18:20,400 Speaker 4: And this was obviously a terrible condition, type one diabetes 380 00:18:20,440 --> 00:18:23,159 Speaker 4: and a breakthrough, and we were part of commercializing that 381 00:18:23,280 --> 00:18:26,600 Speaker 4: around the world, invented the manufacturing method and created that 382 00:18:26,640 --> 00:18:30,480 Speaker 4: business that was followed by actually penicillin. So during World 383 00:18:30,520 --> 00:18:32,800 Speaker 4: War Two, Lily was commissioned as one of the manufacturers 384 00:18:32,800 --> 00:18:36,320 Speaker 4: for antibiotics for the army and we from there then 385 00:18:36,400 --> 00:18:41,479 Speaker 4: iterated for forty years antibiotics, including still some that are 386 00:18:41,560 --> 00:18:44,800 Speaker 4: used today like bankamasin which is the last line of 387 00:18:44,800 --> 00:18:47,000 Speaker 4: defense for the worst infections. 388 00:18:47,119 --> 00:18:48,840 Speaker 2: And Prozac we're famous for. 389 00:18:48,720 --> 00:18:52,520 Speaker 4: Which really brought modern psychiatry into the fold. And of 390 00:18:52,520 --> 00:18:54,240 Speaker 4: course now Manjarro and zep. 391 00:18:54,200 --> 00:18:57,879 Speaker 3: Bound And what about the future your work? What are 392 00:18:57,920 --> 00:19:01,360 Speaker 3: the human problems you're working on on the future. Alzheimer's, 393 00:19:01,359 --> 00:19:02,280 Speaker 3: I assume is one of them. 394 00:19:02,320 --> 00:19:04,840 Speaker 4: Absolutely, Yeah, So we think about our company. Of course, 395 00:19:04,880 --> 00:19:08,879 Speaker 4: we use scientific methods to create medicines to solve tough problems. 396 00:19:09,160 --> 00:19:12,160 Speaker 4: We're not really interested in niche problems. We think we're 397 00:19:12,160 --> 00:19:14,679 Speaker 4: here because we're a big company to do hard problems 398 00:19:14,720 --> 00:19:17,439 Speaker 4: that are scalable. That's sort of where it makes our 399 00:19:17,480 --> 00:19:19,439 Speaker 4: business work, but also is the most human impact. So 400 00:19:19,800 --> 00:19:22,879 Speaker 4: we select these diseases that are common and tough. So 401 00:19:23,000 --> 00:19:26,800 Speaker 4: you mentioned Alzheimer's, NERD degenerative conditions or the most frightening conditions. 402 00:19:26,800 --> 00:19:31,160 Speaker 4: Most people think about Parkinson's als Alzheimer's and the science 403 00:19:31,240 --> 00:19:33,760 Speaker 4: we've been investing there for thirty years. We just launched 404 00:19:33,760 --> 00:19:35,920 Speaker 4: our first medicine and so now we're getting revenue after 405 00:19:35,960 --> 00:19:39,280 Speaker 4: thirty years on that project, and we're working on a 406 00:19:39,280 --> 00:19:42,719 Speaker 4: prevention study for that same medicine, which could really transform Alzheimer's. 407 00:19:42,880 --> 00:19:46,200 Speaker 4: We think other nerd degenerfic conditions like Parkinson's als et cetera, 408 00:19:47,160 --> 00:19:49,679 Speaker 4: are becoming more tractable with science, and you'll see us 409 00:19:49,680 --> 00:19:52,840 Speaker 4: invest heavily in that area going forward. Pain chronic pain 410 00:19:52,880 --> 00:19:54,879 Speaker 4: another area we're very interested in. 411 00:19:55,119 --> 00:19:58,000 Speaker 3: So let's talk about the company today. How many employees 412 00:19:58,040 --> 00:20:00,800 Speaker 3: do you have? Forty four thousand and you're. 413 00:20:00,680 --> 00:20:02,160 Speaker 5: Headquartered in Indianapolis? 414 00:20:02,240 --> 00:20:02,800 Speaker 2: Yes? Correct? 415 00:20:02,960 --> 00:20:06,119 Speaker 3: And where do you manufacture your drugs? Are they most 416 00:20:06,200 --> 00:20:07,639 Speaker 3: in the US or mostly overseas? 417 00:20:08,200 --> 00:20:10,800 Speaker 4: Mostly in the US so, though a large majority in 418 00:20:10,840 --> 00:20:13,640 Speaker 4: Europe as well. So those are two big bases for production. 419 00:20:13,760 --> 00:20:14,359 Speaker 2: And in the US. 420 00:20:14,359 --> 00:20:17,520 Speaker 4: We're building lots of plants right now, mostly to support 421 00:20:17,920 --> 00:20:19,120 Speaker 4: zep Bound and Manjarro, but. 422 00:20:21,160 --> 00:20:22,240 Speaker 2: Spreading our footprint. 423 00:20:22,880 --> 00:20:25,040 Speaker 5: So when did your stock went up? 424 00:20:25,080 --> 00:20:27,520 Speaker 3: As I said, about ten times, I mean, when did 425 00:20:27,520 --> 00:20:30,320 Speaker 3: you all realize this is so transformative that you're going 426 00:20:30,359 --> 00:20:32,960 Speaker 3: to become the most valuable pharmaceutical company in the world 427 00:20:33,000 --> 00:20:34,800 Speaker 3: by a factor of four or five times? 428 00:20:34,960 --> 00:20:37,040 Speaker 4: You know, as you know from running companies, David, it's 429 00:20:37,040 --> 00:20:40,280 Speaker 4: hard to know exactly what the scale of something is. 430 00:20:40,800 --> 00:20:44,480 Speaker 4: But I will the story of zepidite Zebound for me, 431 00:20:44,680 --> 00:20:48,439 Speaker 4: is this. In twenty sixteen, I was named as the 432 00:20:48,480 --> 00:20:52,560 Speaker 4: incoming CEO. In that fall, one of our scientists in 433 00:20:53,040 --> 00:20:56,240 Speaker 4: the diabetes group called me about some early results they 434 00:20:56,640 --> 00:20:59,800 Speaker 4: were receiving from singaporean site we had. It was doing 435 00:20:59,800 --> 00:21:04,480 Speaker 4: a study with chur zepetite, the ingredient and zep bound 436 00:21:04,760 --> 00:21:06,560 Speaker 4: and we had to stop the study because people were 437 00:21:06,560 --> 00:21:09,679 Speaker 4: losing too much weight to stay in it. And at 438 00:21:09,720 --> 00:21:13,159 Speaker 4: first this was seen as like an alarming thing, but 439 00:21:13,200 --> 00:21:15,160 Speaker 4: of course we began to process that is, wait a minute, 440 00:21:15,200 --> 00:21:18,480 Speaker 4: this could be something very special. So we sped to 441 00:21:18,840 --> 00:21:20,800 Speaker 4: the next stage of development, phase two, where you try 442 00:21:20,840 --> 00:21:23,280 Speaker 4: to show safety and efficacy in a bigger study. 443 00:21:23,760 --> 00:21:25,800 Speaker 2: And I remember, in. 444 00:21:25,720 --> 00:21:28,600 Speaker 4: A kind of a moment, I was showing my daughter 445 00:21:28,640 --> 00:21:31,080 Speaker 4: around to college as we were at cal Berkeley, standing 446 00:21:31,119 --> 00:21:35,000 Speaker 4: outside of the Lawrence Hall of Science, and I got 447 00:21:35,040 --> 00:21:37,280 Speaker 4: a phone call and the team just got off the plane, 448 00:21:37,280 --> 00:21:39,840 Speaker 4: got the results and showed that people were losing over 449 00:21:39,880 --> 00:21:42,400 Speaker 4: twenty percent body weight in a longer study. 450 00:21:43,080 --> 00:21:44,280 Speaker 2: That was in April of eighteen. 451 00:21:45,000 --> 00:21:47,680 Speaker 4: We disclosed those results later that year, and you could 452 00:21:47,760 --> 00:21:50,280 Speaker 4: probably argue a lot of the run up in Lily 453 00:21:51,040 --> 00:21:54,520 Speaker 4: was just execution from that moment forward because we had 454 00:21:54,520 --> 00:21:56,680 Speaker 4: a pretty big study with some great results. 455 00:21:57,720 --> 00:21:59,720 Speaker 2: We didn't know it would be this much, but we 456 00:21:59,800 --> 00:22:01,040 Speaker 2: knew it was special. 457 00:22:00,760 --> 00:22:02,960 Speaker 3: And you decided when you were overseeing this that we 458 00:22:02,960 --> 00:22:03,800 Speaker 3: should continue this. 459 00:22:04,000 --> 00:22:07,600 Speaker 4: We started building factories. We invested five to six billion 460 00:22:07,640 --> 00:22:09,199 Speaker 4: dollars in a phase three program. 461 00:22:10,400 --> 00:22:12,000 Speaker 3: If I had been moved our ships, so if I 462 00:22:12,000 --> 00:22:13,720 Speaker 3: had been at your job, I would have taken credit 463 00:22:13,760 --> 00:22:16,640 Speaker 3: for all of this. So did you take the credit 464 00:22:16,720 --> 00:22:18,879 Speaker 3: for this or you're the person responsible for this happening 465 00:22:18,960 --> 00:22:19,159 Speaker 3: or not? 466 00:22:19,480 --> 00:22:21,320 Speaker 4: I mean, of course, as a CEO, you have a 467 00:22:21,400 --> 00:22:23,679 Speaker 4: role in all this, but it would be way overstating 468 00:22:23,720 --> 00:22:26,160 Speaker 4: the role if I took credit. You know, first of all, 469 00:22:26,240 --> 00:22:30,119 Speaker 4: we're an old company and have people have worked there 470 00:22:30,119 --> 00:22:33,040 Speaker 4: for thirty years on this problem, So the credit goes 471 00:22:33,080 --> 00:22:35,879 Speaker 4: to the scientists to begin with. Secondly, we have a 472 00:22:35,880 --> 00:22:38,920 Speaker 4: lot of incumbent capabilities, like how do you take a 473 00:22:39,000 --> 00:22:42,639 Speaker 4: protein like GLP one, which in the natural body lasts 474 00:22:42,640 --> 00:22:45,040 Speaker 4: only a few seconds and make it into a week 475 00:22:45,080 --> 00:22:48,399 Speaker 4: long injection. So that's a pharmacology exercise that's difficult, and 476 00:22:48,480 --> 00:22:50,119 Speaker 4: we have people who can do that, and we have 477 00:22:50,160 --> 00:22:52,960 Speaker 4: people who do the clinical trials and everything else to 478 00:22:53,000 --> 00:22:54,840 Speaker 4: see the opportunity and go for it. We have people 479 00:22:54,840 --> 00:22:56,680 Speaker 4: who make it every day twenty four to seven. We 480 00:22:56,760 --> 00:22:59,840 Speaker 4: run our factories. So it's a giant team sport. Just 481 00:22:59,880 --> 00:23:02,480 Speaker 4: like the legacy of our success on my watch will 482 00:23:02,480 --> 00:23:04,879 Speaker 4: go beyond my tenure. I'm inheriting some of that for 483 00:23:05,000 --> 00:23:05,439 Speaker 4: my presence. 484 00:23:05,600 --> 00:23:08,560 Speaker 3: Is there one scientist that somebody can point to as 485 00:23:08,680 --> 00:23:10,879 Speaker 3: the person who is responsible. 486 00:23:10,320 --> 00:23:11,160 Speaker 5: For this revolution? 487 00:23:12,240 --> 00:23:15,520 Speaker 4: Well, so there's four scientists that Lilly who invented this drug, 488 00:23:15,560 --> 00:23:18,120 Speaker 4: and we celebrate them. By the way, three are immigrants 489 00:23:18,119 --> 00:23:22,280 Speaker 4: to this country. That's an interesting conversation, and they live 490 00:23:22,280 --> 00:23:25,000 Speaker 4: in Indianapolis, and so it's sometimes pointed out that the 491 00:23:25,000 --> 00:23:27,720 Speaker 4: most valuable biotech company in the world is based in Indiana, 492 00:23:27,760 --> 00:23:29,280 Speaker 4: and that's a surprising. 493 00:23:28,800 --> 00:23:29,480 Speaker 2: Fact to people. 494 00:23:29,520 --> 00:23:32,600 Speaker 4: But people come from all over the world that work 495 00:23:32,720 --> 00:23:34,920 Speaker 4: at our site to create amazing medicines. 496 00:23:35,080 --> 00:23:38,080 Speaker 3: So the way the pharmaceutical industry works, I understand is 497 00:23:38,080 --> 00:23:40,399 Speaker 3: you look at lots of potential problems that need to 498 00:23:40,440 --> 00:23:43,359 Speaker 3: be solved, You work with scientists to come up with 499 00:23:43,400 --> 00:23:45,639 Speaker 3: the drug, and so forth, you test them. What is 500 00:23:45,640 --> 00:23:48,040 Speaker 3: a typical period of time between you you say we're 501 00:23:48,040 --> 00:23:50,439 Speaker 3: going to solve a problem with finding a drug and 502 00:23:50,480 --> 00:23:51,800 Speaker 3: then you actually get somebody to the market. 503 00:23:51,840 --> 00:23:53,040 Speaker 5: How long does that typically take? 504 00:23:53,400 --> 00:23:56,439 Speaker 4: So your better case scenario would be eight to twelve years. 505 00:23:57,400 --> 00:23:59,520 Speaker 4: As I mentioned in Alzheimer's, we actually spent thirty four 506 00:23:59,600 --> 00:24:01,000 Speaker 4: years before we launch a drug. 507 00:24:02,119 --> 00:24:03,680 Speaker 2: So this is a long, long. 508 00:24:03,520 --> 00:24:06,000 Speaker 3: Cycle time or eighth to twelve But how many drugs 509 00:24:06,040 --> 00:24:07,800 Speaker 3: do you work on that just you say it's not 510 00:24:07,800 --> 00:24:10,360 Speaker 3: going to work and you just move forward with other ones. 511 00:24:10,600 --> 00:24:14,200 Speaker 3: There's it a ninety percent failure rate and ten percent success. 512 00:24:13,880 --> 00:24:16,600 Speaker 4: Rate, So it's about one hundred to one from idea 513 00:24:16,640 --> 00:24:19,360 Speaker 4: to market. So for one hundred ideas you might get 514 00:24:19,400 --> 00:24:22,760 Speaker 4: one product, it's about ten to one from starting clinical studies, 515 00:24:23,000 --> 00:24:24,880 Speaker 4: so you have about ninety percent failure rate from phase 516 00:24:24,920 --> 00:24:25,520 Speaker 4: one forwarding. 517 00:24:25,600 --> 00:24:28,359 Speaker 3: So some people say that drug companies don't really produce 518 00:24:28,359 --> 00:24:31,119 Speaker 3: that many drugs anymore. They're more marketing organizations that they 519 00:24:31,200 --> 00:24:33,680 Speaker 3: go out and find smaller companies that are producing these 520 00:24:33,760 --> 00:24:35,840 Speaker 3: drugs and then they buy them up. Is that where 521 00:24:35,880 --> 00:24:37,840 Speaker 3: you get most of your new drugs from? Or do 522 00:24:37,840 --> 00:24:39,720 Speaker 3: you do development internal yourself? 523 00:24:39,920 --> 00:24:42,359 Speaker 4: We're maybe a bit of an exception, we're about two 524 00:24:42,359 --> 00:24:47,399 Speaker 4: thirds internal. But even that, Steban, you know, what is 525 00:24:47,440 --> 00:24:50,199 Speaker 4: the development where so is it the drugs origin or 526 00:24:50,240 --> 00:24:52,639 Speaker 4: is it the studies and the expertise at it along 527 00:24:52,680 --> 00:24:56,080 Speaker 4: the way. So we do buy small companies, we also 528 00:24:56,280 --> 00:24:58,520 Speaker 4: collaborate with them. We take what they worked on and 529 00:24:58,560 --> 00:25:00,800 Speaker 4: we carry it forward. Is that extern I don't think so. 530 00:25:00,840 --> 00:25:02,440 Speaker 4: I think we added a lot of value there too. 531 00:25:02,760 --> 00:25:06,560 Speaker 4: But we have a big scientific base. Lily employees almost 532 00:25:06,640 --> 00:25:10,639 Speaker 4: four thousand PhDs just for reference, Harvard employees like two thousand. 533 00:25:11,080 --> 00:25:14,760 Speaker 2: So we have a huge scientific base to create new medicines. 534 00:25:14,800 --> 00:25:17,280 Speaker 4: It's a big part of our strategy. 535 00:25:17,359 --> 00:25:20,040 Speaker 3: And in the pharmaceutical world, the image is not always 536 00:25:20,119 --> 00:25:23,280 Speaker 3: so wonderful with the public. I'm sure you're aware of 537 00:25:23,280 --> 00:25:26,640 Speaker 3: this that people say pharmaceutical companies, drug companies, they will 538 00:25:26,640 --> 00:25:29,600 Speaker 3: call them, are charged too much and so forth. How 539 00:25:29,600 --> 00:25:31,919 Speaker 3: do you respond to the idea that drug companies are 540 00:25:31,960 --> 00:25:34,200 Speaker 3: charging too much? And very often people United States say 541 00:25:34,359 --> 00:25:36,000 Speaker 3: I'm going to cross the border of Canada get the 542 00:25:36,040 --> 00:25:37,280 Speaker 3: same drug for a lower price. 543 00:25:37,920 --> 00:25:39,239 Speaker 2: Yeah, thank you for asking that. 544 00:25:39,640 --> 00:25:41,840 Speaker 4: You know, obviously it's something we want to change and 545 00:25:41,880 --> 00:25:45,440 Speaker 4: fix because what we think we do is pretty valuable. 546 00:25:46,640 --> 00:25:50,920 Speaker 4: First problem is for artifact of history and how healthcare 547 00:25:50,920 --> 00:25:55,040 Speaker 4: insurance evolved in this country, people are largely shielded from 548 00:25:55,080 --> 00:25:56,080 Speaker 4: surgery costs. 549 00:25:55,800 --> 00:25:56,639 Speaker 2: And hospital costs. 550 00:25:56,640 --> 00:25:59,160 Speaker 4: About three percent of those total costs in our country 551 00:25:59,160 --> 00:26:01,920 Speaker 4: are paid out of pocket by consumers, but for medicines 552 00:26:01,960 --> 00:26:05,440 Speaker 4: it's closer to twenty percent. So people think the medicines 553 00:26:05,440 --> 00:26:07,960 Speaker 4: are a larger part of the health bill because they're 554 00:26:08,000 --> 00:26:11,960 Speaker 4: exposed to more of that versus services. That's again a 555 00:26:12,400 --> 00:26:16,480 Speaker 4: historic thing. We advocate for better insurance coverage, lower out 556 00:26:16,480 --> 00:26:20,679 Speaker 4: of pocket costs for medications. The second thing is it 557 00:26:20,720 --> 00:26:22,800 Speaker 4: means to be foreign countries. It is true our prices 558 00:26:22,800 --> 00:26:25,600 Speaker 4: are lower in those places. We would like to correct 559 00:26:25,640 --> 00:26:29,040 Speaker 4: that as well. I mean, our idea is that basically 560 00:26:29,040 --> 00:26:30,600 Speaker 4: the cost of a medicine is the cost of the 561 00:26:30,680 --> 00:26:33,480 Speaker 4: R and D to produce it, more so than the manufacturing. 562 00:26:33,680 --> 00:26:36,240 Speaker 2: Obviously, manufacturing costs is similar everywhere. 563 00:26:36,200 --> 00:26:38,760 Speaker 4: And right now there is an imbalance and who covers 564 00:26:38,800 --> 00:26:41,520 Speaker 4: that R and D cost. We should seek to correct that. 565 00:26:41,840 --> 00:26:45,520 Speaker 4: But the answer isn't just lower us to Canada's pricing. 566 00:26:45,560 --> 00:26:47,560 Speaker 4: We wouldn't have a pharmaceutical industry if we did that. 567 00:26:47,560 --> 00:26:49,040 Speaker 4: They don't pay for any of the R and D costs. 568 00:26:49,080 --> 00:26:51,840 Speaker 4: We have to raise develop countries what they pay, and 569 00:26:51,960 --> 00:26:54,960 Speaker 4: we can lower the US. I think that's a policy 570 00:26:55,280 --> 00:26:58,240 Speaker 4: argument we'll hear about soon with the new administration and 571 00:26:59,040 --> 00:27:01,200 Speaker 4: what we're happy to engage, but we need to do both. 572 00:27:01,000 --> 00:27:01,760 Speaker 2: At the same time. 573 00:27:02,880 --> 00:27:08,320 Speaker 3: So today the pharmaceutical industry is most concerned about what 574 00:27:08,440 --> 00:27:10,640 Speaker 3: in Washington. You're in Washington, I assume for a meeting 575 00:27:10,680 --> 00:27:14,239 Speaker 3: of the Business Roundtable later on other things. But what 576 00:27:14,280 --> 00:27:16,439 Speaker 3: are you most concerned about? Are you concerned about the 577 00:27:16,480 --> 00:27:19,600 Speaker 3: new administration coming into power. Have you met with President 578 00:27:19,640 --> 00:27:22,680 Speaker 3: Electrum talk about your issues? Have you met with members 579 00:27:22,680 --> 00:27:24,159 Speaker 3: of Congress to talk about your issues? What are your 580 00:27:24,200 --> 00:27:25,680 Speaker 3: big issues you care about in Washington? 581 00:27:26,080 --> 00:27:29,040 Speaker 4: Well, we have general issues for American business, like tax reform, 582 00:27:29,119 --> 00:27:31,560 Speaker 4: which is a big topic going to be for next year, 583 00:27:31,800 --> 00:27:35,880 Speaker 4: and the regulatory situation, which I think has evolved for 584 00:27:36,000 --> 00:27:38,000 Speaker 4: US in our industry in a negative way in the 585 00:27:38,040 --> 00:27:41,240 Speaker 4: last four years. So those are hot topics that a 586 00:27:41,400 --> 00:27:45,119 Speaker 4: general sense. Healthcare is always a topic and so then 587 00:27:45,200 --> 00:27:49,040 Speaker 4: our role in it, and medicine affordability is a key 588 00:27:49,080 --> 00:27:51,600 Speaker 4: area one, you know, But I think my experience, having 589 00:27:51,640 --> 00:27:54,600 Speaker 4: done this for eight years, is there's often more common 590 00:27:54,640 --> 00:27:57,320 Speaker 4: ground than you'd think just reading the newspapers. 591 00:27:57,720 --> 00:27:58,960 Speaker 2: I think everyone would like. 592 00:28:00,560 --> 00:28:02,679 Speaker 4: The US have a strong biofarmer industry that had been 593 00:28:02,720 --> 00:28:05,439 Speaker 4: some amazing medicines like setbound and makes them here like 594 00:28:05,480 --> 00:28:07,880 Speaker 4: Lily does. But at the same time, we want our 595 00:28:08,000 --> 00:28:11,520 Speaker 4: things to be cheap and accessible to all. Okay, that's 596 00:28:11,600 --> 00:28:13,600 Speaker 4: hard to solve for all those things, but we can 597 00:28:13,640 --> 00:28:14,240 Speaker 4: make progress. 598 00:28:14,280 --> 00:28:16,000 Speaker 2: Like one example is we were known. 599 00:28:16,800 --> 00:28:20,320 Speaker 4: For the insulin pricing challenges we had, and insulin was 600 00:28:20,400 --> 00:28:23,760 Speaker 4: overpriced in the US, according to the critics, and we 601 00:28:23,760 --> 00:28:26,680 Speaker 4: were able to bring that price down. Why by compressing 602 00:28:26,720 --> 00:28:29,399 Speaker 4: basically the middleman and what they get, and then working 603 00:28:29,440 --> 00:28:32,240 Speaker 4: with medicare to cap the cost of insulin, which we 604 00:28:32,280 --> 00:28:35,240 Speaker 4: supported at thirty five dollars a month. I think there 605 00:28:35,240 --> 00:28:37,800 Speaker 4: are solutions and by engaging we can find them, and 606 00:28:37,840 --> 00:28:39,720 Speaker 4: we're happy to do that with the new administration or 607 00:28:40,200 --> 00:28:41,640 Speaker 4: the current one of these. 608 00:28:41,680 --> 00:28:43,880 Speaker 5: Have you met with anybody in the new administration yet? 609 00:28:44,160 --> 00:28:44,360 Speaker 2: Yeah? 610 00:28:44,360 --> 00:28:45,920 Speaker 4: I think it was reported last week we had a 611 00:28:45,960 --> 00:28:47,200 Speaker 4: dinner down in Florida. 612 00:28:47,560 --> 00:28:49,520 Speaker 3: How was that, Like, did they serve up fattening food 613 00:28:49,600 --> 00:28:50,560 Speaker 3: or they don't do that with you. 614 00:28:52,280 --> 00:28:55,760 Speaker 4: Probably shouldn't say too much about it, but it was 615 00:28:55,800 --> 00:28:57,960 Speaker 4: all you could imagine and a little bit more. 616 00:28:58,120 --> 00:29:02,800 Speaker 3: Yeah, Well, let's talk about your own background. 617 00:29:02,880 --> 00:29:04,040 Speaker 5: Where where were you born? 618 00:29:04,480 --> 00:29:04,640 Speaker 2: Yeah? 619 00:29:04,680 --> 00:29:07,080 Speaker 4: I was born in Bloomington, Indiana, So who's your by birth? 620 00:29:07,440 --> 00:29:09,520 Speaker 4: But my dad was a grad student at IU at 621 00:29:09,520 --> 00:29:12,000 Speaker 4: the time, and we quickly left and moved to California. 622 00:29:12,120 --> 00:29:14,520 Speaker 4: My mom was from California, and I grew up in 623 00:29:14,520 --> 00:29:17,160 Speaker 4: the Bay Area and then followed in their footsteps and 624 00:29:17,200 --> 00:29:20,480 Speaker 4: went to Purdue University back in Indiana. So sort of 625 00:29:20,920 --> 00:29:23,240 Speaker 4: like a like a bad penny, keep returning. 626 00:29:22,880 --> 00:29:23,400 Speaker 2: To that state. 627 00:29:23,960 --> 00:29:26,240 Speaker 3: So at the Kendy Center this weekend, we honored the 628 00:29:26,320 --> 00:29:29,240 Speaker 3: Grateful Dad. You don't look like you're a person who's 629 00:29:29,280 --> 00:29:31,640 Speaker 3: a grateful dead type person from so we were. 630 00:29:32,400 --> 00:29:33,280 Speaker 2: You were in the Bay. 631 00:29:33,120 --> 00:29:35,160 Speaker 3: Area, but you didn't get caught up in the grateful dead, right. 632 00:29:35,200 --> 00:29:38,280 Speaker 4: I was a little younger than that that era, Okay, 633 00:29:38,600 --> 00:29:41,520 Speaker 4: and I left Yeah, maybe in time to escape. 634 00:29:41,240 --> 00:29:43,640 Speaker 5: That, right. So you went back to college where your 635 00:29:43,640 --> 00:29:44,360 Speaker 5: father had gone to. 636 00:29:44,360 --> 00:29:47,760 Speaker 3: School, yeah, and my mother yeah, okay, Purdue, Yeah, And 637 00:29:47,840 --> 00:29:48,920 Speaker 3: what did you study there? 638 00:29:49,040 --> 00:29:52,040 Speaker 4: So I started studying business and engineering, ended up with 639 00:29:52,080 --> 00:29:54,600 Speaker 4: a degree industrial management which combines those two, and then 640 00:29:54,760 --> 00:29:59,640 Speaker 4: went to work for IBM in New York, which I joined. 641 00:29:59,640 --> 00:30:01,840 Speaker 4: It was stock wasn't an all time hime. When I left, 642 00:30:01,840 --> 00:30:04,000 Speaker 4: it was an all time low. They had a tough 643 00:30:04,000 --> 00:30:05,120 Speaker 4: time in the early nineties. 644 00:30:05,400 --> 00:30:07,200 Speaker 5: Well you fixed that or turned it around? 645 00:30:07,320 --> 00:30:07,520 Speaker 6: Yeah? 646 00:30:08,080 --> 00:30:08,680 Speaker 2: Maybe? Yeah? 647 00:30:08,760 --> 00:30:11,480 Speaker 5: Yeah, So all right, so you went to join Eli 648 00:30:11,520 --> 00:30:12,320 Speaker 5: Lilly in what year? 649 00:30:12,720 --> 00:30:16,040 Speaker 4: So I left IBM to follow my girlfriend who's now 650 00:30:16,080 --> 00:30:19,160 Speaker 4: my wife, who was going to medical school at Indiana University. 651 00:30:19,200 --> 00:30:22,280 Speaker 4: So again back to Indiana, and I needed somebody to 652 00:30:22,320 --> 00:30:24,760 Speaker 4: do there, so I decided to enroll in their MBA program, 653 00:30:24,840 --> 00:30:27,440 Speaker 4: and I got an MBA. Of course, medicine's a four 654 00:30:27,480 --> 00:30:30,160 Speaker 4: year degree, NBA's two. So I still needed somebody to 655 00:30:30,200 --> 00:30:31,600 Speaker 4: do in Indiana, so I joined Lily. 656 00:30:32,520 --> 00:30:35,120 Speaker 3: Okay, and what would you joined? What did you What 657 00:30:35,200 --> 00:30:36,360 Speaker 3: was your position at the beginning? 658 00:30:36,480 --> 00:30:39,320 Speaker 4: Yeah, I was in the department that looked at M 659 00:30:39,360 --> 00:30:43,400 Speaker 4: and A transactions in the finance and business development group 660 00:30:43,800 --> 00:30:45,280 Speaker 4: and a great introduction to the. 661 00:30:45,320 --> 00:30:46,920 Speaker 3: Did you ever say I'm going to be the CEO 662 00:30:47,040 --> 00:30:48,240 Speaker 3: someday or something like that? 663 00:30:48,520 --> 00:30:51,800 Speaker 2: Not then. I actually really was thinking I'll be here. 664 00:30:51,680 --> 00:30:53,440 Speaker 4: For two years and then we'll be off to Chicago 665 00:30:53,520 --> 00:30:55,240 Speaker 4: or San Francisco and do something different. 666 00:30:55,880 --> 00:30:57,120 Speaker 2: But I fell in love with the company. 667 00:30:57,120 --> 00:31:00,560 Speaker 4: I mean, it's a it's an amazing place. It's a 668 00:31:00,680 --> 00:31:05,400 Speaker 4: very humanistic culture, but yet very rigorous and scientific, so 669 00:31:05,440 --> 00:31:07,120 Speaker 4: it's demanding smart people. 670 00:31:06,840 --> 00:31:08,160 Speaker 2: But people are nice to each other. 671 00:31:08,240 --> 00:31:10,520 Speaker 4: It's a Midwest and I fell in love with the mission, 672 00:31:10,520 --> 00:31:14,520 Speaker 4: which is what could be better than making medicine for people? 673 00:31:14,680 --> 00:31:16,960 Speaker 4: And I had an experience actually a few years in which, 674 00:31:17,080 --> 00:31:19,200 Speaker 4: if I could share, I worked on a medicine to 675 00:31:19,280 --> 00:31:22,960 Speaker 4: collaborate and bring into the company for diabetes. And right 676 00:31:23,000 --> 00:31:25,880 Speaker 4: as I was leaving that job, my mother was diagnosed 677 00:31:25,920 --> 00:31:29,000 Speaker 4: with diabetes and she was put on that medicine, and so, 678 00:31:29,280 --> 00:31:31,000 Speaker 4: you know, the sort of the point of what we 679 00:31:31,120 --> 00:31:33,880 Speaker 4: do just became super salient for me. And I said, 680 00:31:33,880 --> 00:31:36,120 Speaker 4: this is not a bad way to spend my time. 681 00:31:36,360 --> 00:31:38,440 Speaker 4: And I said to my wife, let's stay here in 682 00:31:38,440 --> 00:31:40,120 Speaker 4: Indiana and she said really, and. 683 00:31:42,040 --> 00:31:42,840 Speaker 2: We ended up staying. 684 00:31:42,920 --> 00:31:45,280 Speaker 5: Yeah, you realized that you were on a track to 685 00:31:45,320 --> 00:31:46,440 Speaker 5: be the CEO? Was it? 686 00:31:46,840 --> 00:31:49,680 Speaker 2: Ivy years post? Much later? Well? 687 00:31:49,760 --> 00:31:53,160 Speaker 4: So I worked in that job, and then I had 688 00:31:53,160 --> 00:31:56,040 Speaker 4: some jobs running markets. I ran our Canadian business, and 689 00:31:56,040 --> 00:31:57,960 Speaker 4: I went to China for two and a half years 690 00:31:57,960 --> 00:31:59,160 Speaker 4: and ran our Chinese business. 691 00:31:59,800 --> 00:32:01,560 Speaker 2: And I was suddenly called back from. 692 00:32:01,440 --> 00:32:04,040 Speaker 4: China by the CEO, who was a new CEO, and 693 00:32:04,040 --> 00:32:05,760 Speaker 4: he said, you need to come run our US business 694 00:32:05,760 --> 00:32:07,760 Speaker 4: and I said, yeah, I'm happy to do that at 695 00:32:07,760 --> 00:32:10,360 Speaker 4: some point, but we were really in the middle of 696 00:32:10,400 --> 00:32:12,320 Speaker 4: a growth phase there. We weren't done with the agenda 697 00:32:12,320 --> 00:32:14,560 Speaker 4: I had set out and he had agreed to. I said, John, 698 00:32:14,560 --> 00:32:16,520 Speaker 4: don't you want me to finish the job? He said, 699 00:32:17,120 --> 00:32:19,760 Speaker 4: you need to come back. And I think that was 700 00:32:19,800 --> 00:32:22,760 Speaker 4: the point where I was sort of being cultivated for 701 00:32:22,800 --> 00:32:23,760 Speaker 4: big something bigger. 702 00:32:24,080 --> 00:32:26,320 Speaker 5: So did you beat South some other person to get 703 00:32:26,360 --> 00:32:28,160 Speaker 5: the job or no? 704 00:32:28,320 --> 00:32:31,240 Speaker 4: I mean it's we've mostly hired people from within the company. 705 00:32:31,360 --> 00:32:35,320 Speaker 4: There were other candidates, I'm sure when my predecessor retired 706 00:32:35,520 --> 00:32:37,680 Speaker 4: and the board considered me, and I was lucky enough. 707 00:32:37,480 --> 00:32:37,760 Speaker 2: To get it. 708 00:32:37,800 --> 00:32:40,920 Speaker 5: Okay, so you now have three children. 709 00:32:41,280 --> 00:32:42,720 Speaker 2: Yeah, for a while, I've had three children. 710 00:32:42,800 --> 00:32:48,920 Speaker 6: Yeah, yes, they're young adults now, okay, yeah, all right, 711 00:32:48,960 --> 00:32:52,840 Speaker 6: but are any of them interested in weight reduction programs 712 00:32:52,920 --> 00:32:54,360 Speaker 6: or things like that? Really? 713 00:32:54,440 --> 00:32:58,120 Speaker 4: Well, so, my son, he's an AI consultant, so not 714 00:32:58,240 --> 00:33:01,400 Speaker 4: so much. My daughter is actually getting master's in sell 715 00:33:01,400 --> 00:33:04,240 Speaker 4: biology and interested in med school, so she's thinking about 716 00:33:04,240 --> 00:33:07,560 Speaker 4: medicine and medical science. And we talk a lot about 717 00:33:07,560 --> 00:33:10,080 Speaker 4: the weight loss drugs and my youngest son is a 718 00:33:10,120 --> 00:33:12,720 Speaker 4: geology student that Purdue, so we'll see what he does. 719 00:33:12,920 --> 00:33:15,200 Speaker 3: And so what do you do for relaxation to stay 720 00:33:15,200 --> 00:33:18,560 Speaker 3: in shape? You're not on one of these drugs, I 721 00:33:18,640 --> 00:33:20,840 Speaker 3: think because you look very fit and exercise a lot 722 00:33:20,840 --> 00:33:21,240 Speaker 3: of cuation. 723 00:33:21,360 --> 00:33:23,960 Speaker 4: Yeah, yeah, I'm not, but I would never hesitate to 724 00:33:23,960 --> 00:33:26,959 Speaker 4: be on one if I needed it. But the best 725 00:33:27,000 --> 00:33:30,240 Speaker 4: medicine is prevention. And so you know, paying attention to 726 00:33:30,360 --> 00:33:32,160 Speaker 4: exercise is something I've always cared about. 727 00:33:32,160 --> 00:33:36,040 Speaker 2: It's a way I reduced stress too. So I loved running. 728 00:33:36,280 --> 00:33:37,960 Speaker 2: Now I don't run anymore, but I do other things. 729 00:33:38,480 --> 00:33:42,040 Speaker 4: I like hiking, I love backcountry skiing and the outdoors, 730 00:33:42,240 --> 00:33:47,120 Speaker 4: play golf. Being outside is where I find both fitness 731 00:33:47,120 --> 00:33:49,360 Speaker 4: and peace. But then you know, also, I think it's 732 00:33:49,400 --> 00:33:52,600 Speaker 4: important to watch what you eat. I think I've turned 733 00:33:52,640 --> 00:33:59,440 Speaker 4: fifty seven years ago and we really needed to change 734 00:33:59,480 --> 00:34:01,360 Speaker 4: what we That's what my wife and I decided, So 735 00:34:01,480 --> 00:34:03,840 Speaker 4: we did, and it's I think been helpful to keep 736 00:34:03,840 --> 00:34:04,280 Speaker 4: what do you eat? 737 00:34:04,680 --> 00:34:05,200 Speaker 2: What do you eat? 738 00:34:05,560 --> 00:34:10,680 Speaker 4: Things we recognize as food? Yeah, so basically things that 739 00:34:10,920 --> 00:34:15,760 Speaker 4: haven't been through factories, and are you know you recognize 740 00:34:15,800 --> 00:34:16,680 Speaker 4: that a farmer. 741 00:34:16,440 --> 00:34:20,080 Speaker 3: Micro we've had an astounding success at ELI Lelly. Suppose 742 00:34:20,160 --> 00:34:21,920 Speaker 3: a president of the United States said you should be 743 00:34:21,920 --> 00:34:25,319 Speaker 3: the secretary of HHS or something like that, what would 744 00:34:25,360 --> 00:34:25,719 Speaker 3: you say. 745 00:34:26,640 --> 00:34:31,480 Speaker 4: I'm busy right now. I've never actually thought about that. 746 00:34:31,520 --> 00:34:33,239 Speaker 4: I saw that on your question list. You served in 747 00:34:33,280 --> 00:34:34,800 Speaker 4: the government. Maybe I could get some advice. 748 00:34:35,040 --> 00:34:37,080 Speaker 3: I think you even advice for me because we didn't 749 00:34:37,080 --> 00:34:39,840 Speaker 3: do too well. But but all right, so you're happy 750 00:34:39,840 --> 00:34:40,960 Speaker 3: when you're you're so young. 751 00:34:41,000 --> 00:34:42,920 Speaker 4: There's a lot to do, and you know, the company, 752 00:34:43,000 --> 00:34:46,279 Speaker 4: as you've pointed out graciously, is really doing well. But 753 00:34:47,320 --> 00:34:49,440 Speaker 4: you know, we really have a strong desire to do 754 00:34:49,560 --> 00:34:52,319 Speaker 4: even more, and we're just at the beginning of this 755 00:34:52,360 --> 00:34:55,400 Speaker 4: weight loss story. You know, right now there's six or 756 00:34:55,440 --> 00:34:57,799 Speaker 4: seven million Americans who are taking these medicines. There are 757 00:34:57,800 --> 00:35:00,160 Speaker 4: one hundred and ten million with obesity, and we need 758 00:35:00,200 --> 00:35:03,000 Speaker 4: to build more plants and develop more data, get in 759 00:35:03,040 --> 00:35:05,319 Speaker 4: better insurance coverage, and then there's the whole world to cover. 760 00:35:05,880 --> 00:35:08,200 Speaker 4: It's projected in five years there'll be a billion people 761 00:35:08,200 --> 00:35:11,279 Speaker 4: on the planet who have obesity, and it's going to 762 00:35:11,320 --> 00:35:13,839 Speaker 4: become a much bigger problem in the developing world than 763 00:35:13,880 --> 00:35:17,759 Speaker 4: it ever has been in America, partly because the rate 764 00:35:17,800 --> 00:35:21,120 Speaker 4: of growth of obesity in India and China is much 765 00:35:21,120 --> 00:35:26,640 Speaker 4: faster than we experienced, and populations that are non Caucasians, 766 00:35:27,040 --> 00:35:30,759 Speaker 4: particularly South Asians, appear to be much more susceptible to 767 00:35:30,800 --> 00:35:33,120 Speaker 4: chronic disease at lower weights. So we have a lot 768 00:35:33,120 --> 00:35:35,120 Speaker 4: of work to do to make the biggest impact we 769 00:35:35,160 --> 00:35:35,759 Speaker 4: can yew. 770 00:35:35,840 --> 00:35:38,279 Speaker 3: The greatest obescit in the world is actually in those 771 00:35:38,320 --> 00:35:41,320 Speaker 3: countries in South Pacific. The number one of the islands 772 00:35:41,360 --> 00:35:46,400 Speaker 3: America semil that's right. The least obese is Ethiopia. Right, 773 00:35:46,800 --> 00:35:49,600 Speaker 3: a lot of food, lot of wealth, and everybody's running marathon. 774 00:35:49,360 --> 00:35:50,239 Speaker 5: So they lose weight. 775 00:35:50,680 --> 00:35:54,040 Speaker 3: So okay, So today, where do you want to take 776 00:35:54,080 --> 00:35:56,440 Speaker 3: your company? Now you can't find any drug it's going 777 00:35:56,480 --> 00:35:58,799 Speaker 3: to be more successful than when you have is this? 778 00:35:59,080 --> 00:36:01,400 Speaker 3: You're just going to keep promoting this drug? Is that 779 00:36:01,440 --> 00:36:03,520 Speaker 3: your biggest thing? Or there's no other drug you I 780 00:36:03,520 --> 00:36:05,600 Speaker 3: can imagine it would be anything comparable to this. 781 00:36:06,640 --> 00:36:08,239 Speaker 2: Well, we can imagine that. 782 00:36:09,000 --> 00:36:11,640 Speaker 4: And so we're trying to first of all, within the 783 00:36:11,760 --> 00:36:15,080 Speaker 4: obesity metabolic health space. I think there's two things I'm 784 00:36:15,160 --> 00:36:18,680 Speaker 4: very excited about. One is we have trzepetide mondros that 785 00:36:18,719 --> 00:36:21,920 Speaker 4: found on the market. We have eleven other pipeline projects 786 00:36:22,000 --> 00:36:26,000 Speaker 4: aimed at the same problem but in different ways. So 787 00:36:26,040 --> 00:36:29,279 Speaker 4: we have a triple acting medicine that's in phase three 788 00:36:29,440 --> 00:36:31,759 Speaker 4: for those that have even higher body weight or more 789 00:36:31,800 --> 00:36:35,400 Speaker 4: severe health problems, we have the Oral Project, nine others. 790 00:36:35,440 --> 00:36:38,080 Speaker 4: Beyond that, we think this is going to be a 791 00:36:38,200 --> 00:36:41,080 Speaker 4: very large segment, with many different types of medicines for 792 00:36:41,120 --> 00:36:44,839 Speaker 4: different conditions and different situations people might find themselves in. 793 00:36:45,080 --> 00:36:47,239 Speaker 2: We're going to exploit that fully. The second thing is. 794 00:36:47,920 --> 00:36:50,600 Speaker 4: We've talked a lot about like cardibasker health, diabetes, these 795 00:36:50,600 --> 00:36:53,360 Speaker 4: conditions that one to think about with being overweight. But 796 00:36:53,440 --> 00:36:56,839 Speaker 4: these medicines, we think and we aim to prove, can 797 00:36:56,880 --> 00:36:59,400 Speaker 4: be useful for other things we don't think about connected 798 00:36:59,400 --> 00:37:03,920 Speaker 4: to weight. These are often called anti hedonics, so they 799 00:37:03,920 --> 00:37:07,680 Speaker 4: are reducing that desire cycle. So next year you'll see 800 00:37:07,680 --> 00:37:11,640 Speaker 4: Lily start large studies and alcohol abuse and nicotine use, 801 00:37:11,960 --> 00:37:16,400 Speaker 4: even in drug abuse, will also begin studies in anti 802 00:37:16,440 --> 00:37:19,399 Speaker 4: inflammatory conditions because you don't think of that with weight, 803 00:37:19,560 --> 00:37:23,080 Speaker 4: but actually there is quite a strong signal in anti inflammatory. 804 00:37:23,160 --> 00:37:25,840 Speaker 4: And then beyond that, David, we need to make important 805 00:37:25,840 --> 00:37:28,120 Speaker 4: medicines for the long haul or old company. We plan 806 00:37:28,200 --> 00:37:29,880 Speaker 4: to be here another one hundred and fifty years plus. 807 00:37:30,360 --> 00:37:32,680 Speaker 4: And I mentioned my excitement about brain health. I think 808 00:37:32,680 --> 00:37:34,720 Speaker 4: that's really the next frontier to make a big difference. 809 00:37:34,719 --> 00:37:37,200 Speaker 3: So if you ever thought about eating a lot, gaining weight, 810 00:37:37,280 --> 00:37:38,640 Speaker 3: and then going to one of your drugs so you 811 00:37:38,640 --> 00:37:40,480 Speaker 3: can actually experience it because you don't use it, because 812 00:37:40,520 --> 00:37:41,520 Speaker 3: you don't you're so thin. 813 00:37:41,719 --> 00:37:44,279 Speaker 4: I'd I'd like to avoid that, but it might happen, 814 00:37:44,280 --> 00:37:46,960 Speaker 4: and I wouldn't hesitate to use them. 815 00:37:47,080 --> 00:37:51,040 Speaker 3: Yeah, yesterday you announced that fifteen billion dollars stock buy back. 816 00:37:52,160 --> 00:37:55,000 Speaker 3: Many people criticize stock buybacks. They say you should use 817 00:37:55,040 --> 00:37:57,520 Speaker 3: your money to invest in your products and so forth. 818 00:37:57,560 --> 00:37:58,680 Speaker 5: How do you respond to that? 819 00:37:59,680 --> 00:38:01,400 Speaker 2: Yeah, I don't understand that argument. 820 00:38:01,600 --> 00:38:05,080 Speaker 4: Really, a stock buyback is a way to essentially, by 821 00:38:05,080 --> 00:38:07,400 Speaker 4: buying your own shares, you give the people who already 822 00:38:07,400 --> 00:38:09,200 Speaker 4: own your shares the opportunity to sell at a higher 823 00:38:09,200 --> 00:38:11,280 Speaker 4: price and get a return on their investment. 824 00:38:11,920 --> 00:38:12,959 Speaker 2: I don't know why that's bad. 825 00:38:13,040 --> 00:38:16,560 Speaker 4: But I would also point out, in our current situation, 826 00:38:16,640 --> 00:38:18,960 Speaker 4: we're spending almost more than anyone in the world on 827 00:38:19,080 --> 00:38:21,960 Speaker 4: R and D. Already, we'll spend eleven and a half 828 00:38:22,040 --> 00:38:25,200 Speaker 4: billion dollars this year on research and development. By the way, 829 00:38:25,239 --> 00:38:27,919 Speaker 4: the country of Germany spends about eight and a half 830 00:38:28,040 --> 00:38:31,360 Speaker 4: billion on all of its medical R and D. 831 00:38:31,520 --> 00:38:32,920 Speaker 2: That's their NIH equivalent. 832 00:38:33,239 --> 00:38:35,200 Speaker 4: So we're at the nation state scale on R and 833 00:38:35,239 --> 00:38:39,640 Speaker 4: D where we have announced investments of twenty three billion 834 00:38:39,719 --> 00:38:42,280 Speaker 4: dollars in new capital in the United States. 835 00:38:42,280 --> 00:38:44,360 Speaker 2: For factories, we can't go faster. 836 00:38:44,440 --> 00:38:46,640 Speaker 4: There's no more vendors to build plants faster than we're 837 00:38:46,640 --> 00:38:50,640 Speaker 4: building right now. So returning some of the rewards that 838 00:38:51,520 --> 00:38:53,840 Speaker 4: investors deserve for taking risk on the company seems like 839 00:38:53,880 --> 00:38:54,799 Speaker 4: a reasonable thing to do. 840 00:38:55,320 --> 00:38:58,080 Speaker 3: So, Members of Congress, when you're in town, I assume, 841 00:38:58,080 --> 00:39:00,719 Speaker 3: how do you find that experience uplifting? 842 00:39:02,200 --> 00:39:03,839 Speaker 2: That wasn't the word I was going to use. 843 00:39:05,719 --> 00:39:10,160 Speaker 4: Yeah, look, at an individual level, we all love our congressman, 844 00:39:10,200 --> 00:39:12,359 Speaker 4: and I think at an individual level they seem quite 845 00:39:12,360 --> 00:39:15,000 Speaker 4: smart and rational people. Collectively, they don't seem to be 846 00:39:15,040 --> 00:39:18,839 Speaker 4: able to act very rationally, but we're going to try 847 00:39:18,840 --> 00:39:20,600 Speaker 4: to convince them to do so. I think there's a 848 00:39:20,640 --> 00:39:22,719 Speaker 4: lot we can do. You know, it's a complicated world 849 00:39:22,800 --> 00:39:25,759 Speaker 4: right now for global businesses like ours, there's a lot 850 00:39:25,800 --> 00:39:27,720 Speaker 4: we could do that would make a pretty big difference. 851 00:39:27,880 --> 00:39:31,280 Speaker 4: And it seems relatively easy to us, so we'll work 852 00:39:31,320 --> 00:39:32,080 Speaker 4: with them to do that. 853 00:39:32,480 --> 00:39:35,920 Speaker 3: Now, I assume you're very popular in Indiana because your 854 00:39:35,960 --> 00:39:38,040 Speaker 3: company is very popular and you're a very nice person, 855 00:39:38,160 --> 00:39:40,560 Speaker 3: your so forth. Have you ever thought of running for 856 00:39:40,680 --> 00:39:41,560 Speaker 3: office yourself? 857 00:39:42,400 --> 00:39:44,680 Speaker 4: Again, I have not considered public service at this point. 858 00:39:44,719 --> 00:39:48,440 Speaker 4: I'm busy doing what I'm interested in. But we've been 859 00:39:48,480 --> 00:39:51,120 Speaker 4: lucky in Indiana. We have a you know, it's a 860 00:39:51,200 --> 00:39:53,600 Speaker 4: right leaning state, but we've a very common sense leadership. 861 00:39:53,640 --> 00:39:57,239 Speaker 4: We've enjoyed good relationship there, so that hasn't come up. 862 00:39:57,280 --> 00:39:59,560 Speaker 4: No one's tried to recruit me yet. 863 00:40:00,000 --> 00:40:03,480 Speaker 3: Okay, so let me ask you finally, finally, on the 864 00:40:03,560 --> 00:40:06,719 Speaker 3: drug that everybody's talking about. Is it difficult to get 865 00:40:06,760 --> 00:40:08,400 Speaker 3: a doctor to prescribe that? Or if you do go 866 00:40:08,400 --> 00:40:10,680 Speaker 3: in a doctor, you say you want it, doctor automatically 867 00:40:10,680 --> 00:40:12,600 Speaker 3: gives it to or do you have to examine you 868 00:40:12,640 --> 00:40:14,320 Speaker 3: and say you're a little overweight. 869 00:40:14,480 --> 00:40:15,520 Speaker 2: They'll have to examine you. 870 00:40:15,600 --> 00:40:19,040 Speaker 4: But it's a both and right now, our market studies 871 00:40:19,040 --> 00:40:22,080 Speaker 4: are when people ask for either our drug or Novo's, 872 00:40:22,320 --> 00:40:24,879 Speaker 4: about eight out of ten times they get it. It's 873 00:40:24,880 --> 00:40:28,040 Speaker 4: a very consumer driven thing, and most doctors aren't resistant 874 00:40:28,080 --> 00:40:29,920 Speaker 4: to it. When we launched that bound. You know, we 875 00:40:30,040 --> 00:40:32,759 Speaker 4: just started advertising. That's an unusual thing. Usually you go 876 00:40:32,760 --> 00:40:34,759 Speaker 4: out of the gates, you try to raise awareness, but 877 00:40:34,800 --> 00:40:38,360 Speaker 4: there was so much online, a buzz and virality to this. 878 00:40:38,400 --> 00:40:39,640 Speaker 2: We didn't really have to. 879 00:40:41,600 --> 00:40:44,280 Speaker 4: Half the doctors writing the medicine in the United States 880 00:40:44,320 --> 00:40:47,680 Speaker 4: right now, our medicine we've never spoken to. So usually 881 00:40:47,680 --> 00:40:50,160 Speaker 4: you have like salesmen who go out people, we talk. 882 00:40:50,040 --> 00:40:51,800 Speaker 5: To them free samples. You don't have to give free samples. 883 00:40:51,800 --> 00:40:53,799 Speaker 4: We haven't done any free samples and half of them 884 00:40:53,800 --> 00:40:55,640 Speaker 4: we haven't even spoken to yet. We need to speak 885 00:40:55,680 --> 00:40:57,840 Speaker 4: to them to educate them on risk and benefits, but 886 00:40:58,680 --> 00:41:02,160 Speaker 4: they're just spontaneously writing because consumers are asking them for it. 887 00:41:02,160 --> 00:41:03,600 Speaker 4: It's a unique medicine. 888 00:41:04,080 --> 00:41:06,000 Speaker 3: So has there ever been a drug anywhere in the 889 00:41:06,040 --> 00:41:08,719 Speaker 3: United States that's as popular as this particular drug is 890 00:41:09,400 --> 00:41:12,120 Speaker 3: sweeping the world and the country as anything like this 891 00:41:12,280 --> 00:41:14,000 Speaker 3: and you've seen before. 892 00:41:13,840 --> 00:41:14,480 Speaker 2: I don't think so. 893 00:41:14,600 --> 00:41:18,240 Speaker 4: I think both ours and our competitors' drugs will easily 894 00:41:18,280 --> 00:41:20,439 Speaker 4: be the largest selling drugs in the US next year. 895 00:41:20,640 --> 00:41:23,040 Speaker 2: And for a good reason. 896 00:41:23,080 --> 00:41:26,680 Speaker 4: I'd say they Obviously, people when they begin taking them 897 00:41:26,719 --> 00:41:29,680 Speaker 4: almost immediately feel better and they want to stay on them. 898 00:41:29,920 --> 00:41:33,080 Speaker 4: We do lots of clinical trials and often people we 899 00:41:33,200 --> 00:41:34,920 Speaker 4: randomize the PACEIBO so they don't know they're on the 900 00:41:34,960 --> 00:41:36,960 Speaker 4: drug or not, and the people on the drug often 901 00:41:37,040 --> 00:41:38,760 Speaker 4: drop out of the study at a high rate because 902 00:41:38,880 --> 00:41:41,480 Speaker 4: you feel about the same when you're on most chronic medications, 903 00:41:42,120 --> 00:41:44,359 Speaker 4: maybe have some side effects, but you don't notice your 904 00:41:44,400 --> 00:41:47,480 Speaker 4: health improving. On these, you notice your health improving immediately. 905 00:41:47,480 --> 00:41:49,200 Speaker 4: People have a scale in their bathroom. They step on 906 00:41:49,239 --> 00:41:52,319 Speaker 4: it every day. They love losing weight. Physicians like it 907 00:41:52,400 --> 00:41:55,440 Speaker 4: because the baseline of medical care is die in exercise, 908 00:41:55,920 --> 00:41:58,520 Speaker 4: so when people aren't successful, it's frustrating. Here they can 909 00:41:58,520 --> 00:42:02,000 Speaker 4: feel successful because people who are chronically overweight or even quite. 910 00:42:01,760 --> 00:42:04,600 Speaker 2: Obese can lose a lot of weight. 911 00:42:04,920 --> 00:42:07,440 Speaker 4: I had a letter this weekend I got from a 912 00:42:07,520 --> 00:42:09,880 Speaker 4: lady who lived in Kansas. 913 00:42:09,960 --> 00:42:11,120 Speaker 2: She's forty five years old. 914 00:42:11,480 --> 00:42:14,319 Speaker 4: She weighed four hundred and twenty pounds, and she sent 915 00:42:14,360 --> 00:42:16,520 Speaker 4: me the letter because yesterday she weighed one to eighty 916 00:42:16,520 --> 00:42:19,520 Speaker 4: eight and she's been on our drug for two years 917 00:42:20,239 --> 00:42:22,719 Speaker 4: and she was unsure if she was going to live 918 00:42:22,719 --> 00:42:25,399 Speaker 4: to be fifty, and now she's sure she is. So 919 00:42:25,680 --> 00:42:28,560 Speaker 4: this is imagine that at the nation's scale, we could 920 00:42:28,640 --> 00:42:31,239 Speaker 4: change the trajectory of health care in the country with 921 00:42:31,719 --> 00:42:32,520 Speaker 4: our invention. 922 00:42:32,360 --> 00:42:33,480 Speaker 5: In that particular example. 923 00:42:33,520 --> 00:42:36,880 Speaker 3: For example, hy somebody goes from four hundred plus pounds 924 00:42:36,880 --> 00:42:40,600 Speaker 3: down their body organs must have been weakened by having 925 00:42:40,960 --> 00:42:42,880 Speaker 3: that large weight for a long time, So even if 926 00:42:42,880 --> 00:42:44,960 Speaker 3: they lose the weight, they're still not going to be 927 00:42:45,000 --> 00:42:47,160 Speaker 3: as healthy as if they had never been obese. 928 00:42:47,200 --> 00:42:48,399 Speaker 2: Right, Well, we don't know that. 929 00:42:48,480 --> 00:42:52,760 Speaker 4: Actually, I think the body's proven to be pretty resilient. Obviously, 930 00:42:52,840 --> 00:42:54,560 Speaker 4: she'll need to keep the weight off. She'll need to 931 00:42:54,600 --> 00:42:57,840 Speaker 4: exercise and eat well and take good care of her health. 932 00:42:58,239 --> 00:43:01,560 Speaker 4: But this particular person, for instance, had diabetes and no 933 00:43:01,640 --> 00:43:06,239 Speaker 4: longer has clinical diabetes. It's not detectable, so actually her 934 00:43:06,280 --> 00:43:08,600 Speaker 4: health is improving as she's losing the weight already. 935 00:43:09,600 --> 00:43:13,160 Speaker 3: Well, it's a great American success story, and I congratulate 936 00:43:13,200 --> 00:43:16,000 Speaker 3: you on pulling this off, and I hope you'll continue 937 00:43:16,040 --> 00:43:17,920 Speaker 3: to find other drugs that are going to be as 938 00:43:17,920 --> 00:43:20,359 Speaker 3: successful as this, And I can you know, I could 939 00:43:20,440 --> 00:43:22,839 Speaker 3: use a couple of them myself Alzheimer's or whatever else 940 00:43:22,880 --> 00:43:26,160 Speaker 3: I might need in the future. But thank you very 941 00:43:26,200 --> 00:43:28,040 Speaker 3: much for being here, and thanks for the great story. 942 00:43:28,080 --> 00:43:29,279 Speaker 2: Thanks David appreciate it ye