1 00:00:00,280 --> 00:00:04,360 Speaker 1: Today we can take your skim stam cell, turn it 2 00:00:04,519 --> 00:00:07,680 Speaker 1: back to the day you were born, and tell it 3 00:00:07,680 --> 00:00:10,960 Speaker 1: it's now a heart stem cell, and you can see 4 00:00:11,000 --> 00:00:13,800 Speaker 1: today these cells beating like there are. 5 00:00:13,640 --> 00:00:16,239 Speaker 2: Heart the best selling author and the host the number 6 00:00:16,239 --> 00:00:17,840 Speaker 2: one health and wellness. 7 00:00:17,400 --> 00:00:19,280 Speaker 1: Podcast On Purpose with Jay Shetty. 8 00:00:21,120 --> 00:00:23,960 Speaker 2: Hey, everyone, welcome back to the number one health podcast 9 00:00:24,120 --> 00:00:27,159 Speaker 2: in the world, On Purpose. I am so grateful that 10 00:00:27,240 --> 00:00:30,639 Speaker 2: you come back every week to listen, learn and grow. 11 00:00:30,880 --> 00:00:32,520 Speaker 2: I know that each of you are on a quest 12 00:00:32,560 --> 00:00:36,160 Speaker 2: to become happier, healthier, and more healed. And my role 13 00:00:36,280 --> 00:00:39,280 Speaker 2: is to try and find great conversations and individuals that 14 00:00:39,360 --> 00:00:42,279 Speaker 2: we can learn from that can guide us navigate this 15 00:00:42,400 --> 00:00:45,440 Speaker 2: path that we're all on. Today's guest has had quite 16 00:00:45,479 --> 00:00:48,520 Speaker 2: the fascinating journey, and we'll be diving into all aspects 17 00:00:48,520 --> 00:00:52,720 Speaker 2: of failure, health, success, wellness. 18 00:00:52,000 --> 00:00:53,120 Speaker 3: And so much more. 19 00:00:53,680 --> 00:00:56,480 Speaker 2: I'm really honored to have on the podcast Michael Milkin 20 00:00:56,640 --> 00:01:00,240 Speaker 2: or Mike Milkin, who's been uniquely successful in creating value you, 21 00:01:00,400 --> 00:01:04,840 Speaker 2: whether measured in lives saved or whether it's job created. 22 00:01:05,440 --> 00:01:09,200 Speaker 2: Michael and his colleagues financed thousands of companies that collectively 23 00:01:09,240 --> 00:01:13,160 Speaker 2: created millions of jobs Michael's philanthropy, which began in the 24 00:01:13,240 --> 00:01:17,520 Speaker 2: nineteen seventies and paralleled his business career, expanded in nineteen 25 00:01:17,560 --> 00:01:21,160 Speaker 2: eighty two with the establishment of the Milk and Family Foundation. 26 00:01:21,760 --> 00:01:25,880 Speaker 2: After two decades of actively supporting medical research, Michael became 27 00:01:25,959 --> 00:01:29,360 Speaker 2: a patient in nineteen ninety three when he was diagnosed 28 00:01:29,440 --> 00:01:32,280 Speaker 2: with terminal cancer. We're going to be talking about that today. 29 00:01:32,680 --> 00:01:35,760 Speaker 2: Over the last three decades, Michael has increased his focus 30 00:01:35,959 --> 00:01:40,800 Speaker 2: on making the research process more effective and efficient, and today, 31 00:01:41,200 --> 00:01:46,400 Speaker 2: Mike's twenty twenty three memoir, Faster Cures Accelerating the Future 32 00:01:46,440 --> 00:01:49,600 Speaker 2: of Health, documents his lifetime of work in the field. 33 00:01:49,680 --> 00:01:50,040 Speaker 3: Is out. 34 00:01:50,120 --> 00:01:51,960 Speaker 2: Now we're going to put this in the link, so 35 00:01:52,040 --> 00:01:54,760 Speaker 2: make sure you go order yourself a copy of Faster 36 00:01:54,920 --> 00:01:58,680 Speaker 2: Cures Accelerating the Future of Health. Welcome to on Purpose, 37 00:01:59,000 --> 00:02:00,840 Speaker 2: Mike Milk and Mike, thank you for being here. 38 00:02:01,320 --> 00:02:04,840 Speaker 1: Wonderful to be with you again. We've been on numerous 39 00:02:04,880 --> 00:02:08,560 Speaker 1: continents and it's good to be here in Los Angeles 40 00:02:08,680 --> 00:02:09,560 Speaker 1: at the same time. 41 00:02:09,760 --> 00:02:11,720 Speaker 2: Absolutely, and I want to start off by saying a 42 00:02:11,720 --> 00:02:14,720 Speaker 2: big thank you to James Morgan who introduced me to 43 00:02:14,760 --> 00:02:18,360 Speaker 2: you way back in twenty seventeen in London when I 44 00:02:18,400 --> 00:02:21,000 Speaker 2: first met you and I spoke at the Milk and 45 00:02:21,080 --> 00:02:24,600 Speaker 2: Institute event in London. We then did La shortly after, 46 00:02:24,639 --> 00:02:26,440 Speaker 2: and then we did Singapore as well. So I've been 47 00:02:26,440 --> 00:02:29,360 Speaker 2: really grateful to be involved with the Institute a number 48 00:02:29,400 --> 00:02:32,480 Speaker 2: of times. And I actually don't think you know this story, 49 00:02:33,320 --> 00:02:38,400 Speaker 2: but this podcast actually was inspired by a conversation I 50 00:02:38,520 --> 00:02:42,280 Speaker 2: watched at the Building Meaningful Lives event and I thought 51 00:02:42,320 --> 00:02:44,480 Speaker 2: to myself, I wanted to create a place where people 52 00:02:44,560 --> 00:02:47,840 Speaker 2: could come and share the deeper parts of themselves that 53 00:02:47,880 --> 00:02:50,720 Speaker 2: they don't often share elsewhere, and so it actually all 54 00:02:50,720 --> 00:02:53,480 Speaker 2: goes back to you this whole platform. So thank you 55 00:02:53,560 --> 00:02:54,079 Speaker 2: so much. 56 00:02:54,160 --> 00:02:57,040 Speaker 1: Well, it was my honor and pleasure, and what you've 57 00:02:57,080 --> 00:03:01,280 Speaker 1: done with this program to reach people throughout the world 58 00:03:01,560 --> 00:03:02,720 Speaker 1: is just so impressive. 59 00:03:03,280 --> 00:03:04,640 Speaker 3: Thank you, thank you. I'm very grateful. 60 00:03:04,639 --> 00:03:06,760 Speaker 2: Well, Mike, let's dive straight into it, because you truly 61 00:03:06,800 --> 00:03:10,000 Speaker 2: have one of the most fascinating journeys, I believe, on 62 00:03:10,040 --> 00:03:11,720 Speaker 2: the planet, and so I want to try and get 63 00:03:11,720 --> 00:03:13,600 Speaker 2: into as much of it today. And I think a 64 00:03:13,600 --> 00:03:15,360 Speaker 2: lot of our audience will be familiar, some of them 65 00:03:15,400 --> 00:03:17,320 Speaker 2: won't be familiar at all, So I'd love to get 66 00:03:17,360 --> 00:03:20,360 Speaker 2: into some of those details but can you walk me 67 00:03:20,520 --> 00:03:24,880 Speaker 2: through one of your earliest childhood memories that you think 68 00:03:24,960 --> 00:03:28,320 Speaker 2: has had a big impact on who you are today 69 00:03:28,440 --> 00:03:30,360 Speaker 2: or how you are the way you are today. 70 00:03:30,720 --> 00:03:31,359 Speaker 3: Do you have a. 71 00:03:31,360 --> 00:03:34,520 Speaker 2: Childhood memory or an interaction with your parents, or an 72 00:03:34,520 --> 00:03:37,440 Speaker 2: interaction with a friend or a teacher that you think 73 00:03:37,520 --> 00:03:38,920 Speaker 2: has stayed with you. 74 00:03:39,440 --> 00:03:43,080 Speaker 1: I think when I was very young, I had this 75 00:03:43,240 --> 00:03:49,000 Speaker 1: love of data and knowledge. My favorite book was the Almanac, 76 00:03:50,240 --> 00:03:52,720 Speaker 1: and at night I'd have it under my pillow, take 77 00:03:52,760 --> 00:03:56,840 Speaker 1: out a flashlight and read it. And my parents had 78 00:03:56,880 --> 00:04:02,200 Speaker 1: these bridge clubs where adults would come over and come 79 00:04:02,480 --> 00:04:05,160 Speaker 1: once a month and I'd have a chance to interact 80 00:04:05,200 --> 00:04:10,720 Speaker 1: with fifteen sixteen, in some cases twenty adults. And what 81 00:04:10,840 --> 00:04:14,680 Speaker 1: I discovered in this interaction is very few people ever 82 00:04:14,760 --> 00:04:18,560 Speaker 1: did research. When you ask a person why they believe 83 00:04:18,640 --> 00:04:23,240 Speaker 1: in something, etc. They heard it from someone else, and 84 00:04:23,360 --> 00:04:26,000 Speaker 1: it might be based on fact, it might be based 85 00:04:26,040 --> 00:04:29,719 Speaker 1: on fiction. And so from a very young age, I 86 00:04:29,839 --> 00:04:35,840 Speaker 1: began to question why people held certain beliefs, why they 87 00:04:35,920 --> 00:04:41,880 Speaker 1: made certain decisions, and explore data and information. And I'd 88 00:04:41,960 --> 00:04:47,000 Speaker 1: say the first major event was discovering that my father 89 00:04:47,120 --> 00:04:50,719 Speaker 1: had had polio. I had no knowledge. And then one 90 00:04:50,800 --> 00:04:54,840 Speaker 1: day a friend that was over we were playing catch 91 00:04:54,920 --> 00:04:57,159 Speaker 1: told me my father had a limp. I really never 92 00:04:57,320 --> 00:05:00,839 Speaker 1: noticed it, and I was thrust in to the world 93 00:05:01,120 --> 00:05:06,520 Speaker 1: in the early nineteen fifties of what polio was, what occurred, 94 00:05:06,920 --> 00:05:11,120 Speaker 1: the understanding of it, the fact that in nineteen fifty 95 00:05:11,160 --> 00:05:14,440 Speaker 1: two it was declared an epidemic and the United States 96 00:05:15,560 --> 00:05:18,359 Speaker 1: was worried that it would bankrupt the country, having to 97 00:05:18,400 --> 00:05:24,080 Speaker 1: build iron lung hotels to keep people alive. Well, a 98 00:05:24,080 --> 00:05:27,719 Speaker 1: few years later there was a solution, and there was 99 00:05:27,760 --> 00:05:31,880 Speaker 1: a vaccine created. Two people worked on it and it 100 00:05:31,960 --> 00:05:37,000 Speaker 1: became prevalent. But what I also noticed was that teenagers 101 00:05:38,120 --> 00:05:40,840 Speaker 1: were not taking the vaccine their parents because they were 102 00:05:40,880 --> 00:05:44,480 Speaker 1: worried the vaccine was going to give them polio. And 103 00:05:44,520 --> 00:05:47,560 Speaker 1: so the end of the story was there was an 104 00:05:47,640 --> 00:05:52,240 Speaker 1: individual who went on a very popular show in the 105 00:05:52,360 --> 00:05:55,320 Speaker 1: United States called the Ed Sullivan Show that we used 106 00:05:55,360 --> 00:05:59,440 Speaker 1: to watch, and more than a year after it was available, 107 00:05:59,520 --> 00:06:02,920 Speaker 1: less than one percent of every teenager in America had 108 00:06:02,920 --> 00:06:09,080 Speaker 1: been vaccinated. And this individual's name was Elvis Presley. And 109 00:06:09,160 --> 00:06:14,440 Speaker 1: because it was okay for Elvis afterwards, within one year 110 00:06:14,560 --> 00:06:18,120 Speaker 1: eighty percent were vaccinated, And so there was a lot 111 00:06:18,200 --> 00:06:21,720 Speaker 1: to learn here from this one. Because you had a 112 00:06:21,760 --> 00:06:27,239 Speaker 1: solution didn't mean people would adopt it. To the fact 113 00:06:27,600 --> 00:06:31,479 Speaker 1: that this was considered something that was going to bankrupt 114 00:06:31,480 --> 00:06:37,040 Speaker 1: the country was obviously proven wrong. Numerous people were affected 115 00:06:37,560 --> 00:06:41,159 Speaker 1: by it, but I think at the peaks only sixty 116 00:06:41,200 --> 00:06:45,400 Speaker 1: two thousand people. And this has repeated itself throughout history 117 00:06:46,400 --> 00:06:49,440 Speaker 1: of people telling you the world is coming to an end, 118 00:06:50,640 --> 00:06:53,360 Speaker 1: It's not going to come to end, and science coming 119 00:06:53,400 --> 00:06:54,400 Speaker 1: to the rescue. 120 00:06:54,600 --> 00:06:55,919 Speaker 3: Well, yeah, incredible. 121 00:06:56,040 --> 00:06:58,039 Speaker 2: I'm so excited to dive into so many of those 122 00:06:58,400 --> 00:07:00,479 Speaker 2: ideas that you just mentioned that throughout the course of 123 00:07:00,520 --> 00:07:03,479 Speaker 2: our interview. I want to go back to that position 124 00:07:03,560 --> 00:07:06,200 Speaker 2: of you starting out. You came from a modest background, 125 00:07:07,040 --> 00:07:10,640 Speaker 2: but and you've had lots of successes and then valleys 126 00:07:10,640 --> 00:07:13,320 Speaker 2: in your life, peaks and valleys. If you walk us 127 00:07:13,520 --> 00:07:16,520 Speaker 2: into the direction of your first peak, did you always 128 00:07:16,560 --> 00:07:20,360 Speaker 2: set out to be financially successful when you first created 129 00:07:20,360 --> 00:07:24,360 Speaker 2: that first success in your life? What was the would 130 00:07:24,400 --> 00:07:28,280 Speaker 2: you say the key principles that you used in order 131 00:07:28,400 --> 00:07:31,240 Speaker 2: to manufacture that first success that you had. 132 00:07:31,560 --> 00:07:35,440 Speaker 1: I did not plan to go into the financial service business. 133 00:07:36,080 --> 00:07:39,920 Speaker 1: I wanted to run the space program and I was 134 00:07:40,160 --> 00:07:45,120 Speaker 1: totally infatuated. When Sputnik went out, it was a catastrophe 135 00:07:45,200 --> 00:07:48,240 Speaker 1: if you read the headlines in the United States at 136 00:07:48,240 --> 00:07:51,800 Speaker 1: the time. There was the middle of the Cold War. 137 00:07:52,400 --> 00:07:57,400 Speaker 1: Now quote Soviet Union had beaten the United States into space. 138 00:07:58,360 --> 00:08:02,320 Speaker 1: And I was very, very good in math and science, 139 00:08:02,360 --> 00:08:03,920 Speaker 1: and I wrote a letter to the President of the 140 00:08:04,040 --> 00:08:07,000 Speaker 1: United States told him I was ready to run the 141 00:08:07,040 --> 00:08:10,680 Speaker 1: space program. Now I never really got a response. I 142 00:08:10,760 --> 00:08:14,680 Speaker 1: was eleven years old, but that was my plan. And 143 00:08:14,800 --> 00:08:18,360 Speaker 1: my plan was I went to Berkeley, which was a 144 00:08:18,480 --> 00:08:22,320 Speaker 1: leader and Nobel Prize winners and the sciences, and I 145 00:08:22,480 --> 00:08:27,560 Speaker 1: was preparing someday to run the space program. Then I 146 00:08:27,640 --> 00:08:31,800 Speaker 1: was in Los Angeles where we are today, during something 147 00:08:31,880 --> 00:08:36,400 Speaker 1: that became known as the Watts Riots. It was August eleventh, 148 00:08:36,960 --> 00:08:42,600 Speaker 1: nineteen sixty five, and Los Angeles was on fire, the 149 00:08:42,640 --> 00:08:46,600 Speaker 1: city of dreams, the city of entertainment. I had just 150 00:08:46,760 --> 00:08:50,240 Speaker 1: been in Berkeley, and we had the free speech movement 151 00:08:50,960 --> 00:08:54,320 Speaker 1: six or seven months before, but this was different. The 152 00:08:54,360 --> 00:08:58,480 Speaker 1: city was on fire, and I went and met a 153 00:08:58,520 --> 00:09:02,560 Speaker 1: young African American man who told me he would never 154 00:09:02,640 --> 00:09:04,920 Speaker 1: have a chance to borrow money to have a business. 155 00:09:04,960 --> 00:09:07,960 Speaker 1: His father didn't because of the color of his skin. 156 00:09:09,000 --> 00:09:13,520 Speaker 1: It seemed totally irrational to me, and I decided to 157 00:09:13,559 --> 00:09:17,079 Speaker 1: go back and figure out why this was occurring. When 158 00:09:17,080 --> 00:09:20,120 Speaker 1: I went back to Berkeley and began to study credit, 159 00:09:20,200 --> 00:09:23,559 Speaker 1: and very similar to when I was younger, I discovered 160 00:09:23,640 --> 00:09:27,679 Speaker 1: everything that people said about credit was wrong. It didn't 161 00:09:27,720 --> 00:09:31,040 Speaker 1: make anydifference if you're the Secretary of the Treasury, the 162 00:09:31,080 --> 00:09:34,240 Speaker 1: head of the Federal Reserve, and what they were saying 163 00:09:34,400 --> 00:09:38,840 Speaker 1: was inaccurate. And so I sat on a path. I 164 00:09:38,920 --> 00:09:41,160 Speaker 1: had to give up my dream at that time of 165 00:09:41,200 --> 00:09:44,880 Speaker 1: the Space program to begin working on what I might 166 00:09:44,880 --> 00:09:48,480 Speaker 1: have called the democrazation of capital, and I pursued that 167 00:09:49,800 --> 00:09:52,760 Speaker 1: during this period of time from nineteen sixty five for 168 00:09:52,880 --> 00:09:56,720 Speaker 1: the next twenty to twenty five years. So that was 169 00:09:56,760 --> 00:10:00,160 Speaker 1: not my path, but the studying and what I had 170 00:10:00,200 --> 00:10:02,800 Speaker 1: done as an undergrad and then as a grand student 171 00:10:02,840 --> 00:10:06,440 Speaker 1: in my decision to quote go to Wall Street was 172 00:10:06,520 --> 00:10:11,440 Speaker 1: really to redirect the access to capital, have a fundamental change, 173 00:10:11,559 --> 00:10:14,679 Speaker 1: and yes, in the next thirty years, sixty two million 174 00:10:14,800 --> 00:10:19,520 Speaker 1: jobs in the United States were created. There's always a backlash. 175 00:10:19,559 --> 00:10:24,319 Speaker 1: As a physic major, for every force, there's resistance, and 176 00:10:24,400 --> 00:10:29,640 Speaker 1: so changing the financial system at that time. Many people 177 00:10:29,679 --> 00:10:33,360 Speaker 1: wish that I didn't exist, the idea that you were 178 00:10:33,400 --> 00:10:36,200 Speaker 1: a large company and you had access to capital and 179 00:10:36,240 --> 00:10:40,079 Speaker 1: the others didn't. So there were five hundred investment grade 180 00:10:40,120 --> 00:10:45,240 Speaker 1: companies and tens of millions of non investment grade companies. Well, 181 00:10:45,280 --> 00:10:50,880 Speaker 1: once you empower them and created financial markets, we discovered 182 00:10:51,000 --> 00:10:54,400 Speaker 1: sixty two million jobs were created in non investment grade 183 00:10:54,440 --> 00:10:59,959 Speaker 1: companies and minus four so there was a lot of change. 184 00:11:00,240 --> 00:11:03,600 Speaker 1: Today there's hundreds of firms headed by people that work 185 00:11:03,640 --> 00:11:07,959 Speaker 1: for me, And I would say it's those structures are 186 00:11:08,040 --> 00:11:12,640 Speaker 1: the basis of modern financial markets around the world. But 187 00:11:12,720 --> 00:11:16,360 Speaker 1: it's not it is not unusual. At one of our 188 00:11:16,480 --> 00:11:21,800 Speaker 1: scientific retreats and the first part of this century, I 189 00:11:21,920 --> 00:11:23,960 Speaker 1: was in the back of the room and I invited 190 00:11:24,000 --> 00:11:28,280 Speaker 1: two young people from Australia to come and speak, and 191 00:11:28,320 --> 00:11:32,600 Speaker 1: they commented that everything you thought about ulcers was wrong, 192 00:11:33,480 --> 00:11:37,760 Speaker 1: everything they were telling you about ulcers. And these two 193 00:11:37,920 --> 00:11:40,720 Speaker 1: senior scientists I had there in the back of the room, 194 00:11:41,280 --> 00:11:45,000 Speaker 1: one turned the other and said, who are these jobos? 195 00:11:45,880 --> 00:11:50,520 Speaker 1: They didn't even go to a good school. Well four 196 00:11:50,600 --> 00:11:55,240 Speaker 1: years later these jobos won a Nobel Prize. So challenging 197 00:11:55,559 --> 00:12:00,480 Speaker 1: conventional wisdom and theory I think has been something I've 198 00:12:00,520 --> 00:12:04,440 Speaker 1: tried to do is you try to move forward, create jobs, 199 00:12:04,559 --> 00:12:08,520 Speaker 1: solve medical problems throughout my life, and it goes all 200 00:12:08,520 --> 00:12:12,800 Speaker 1: the way back to my little almanac and discovering my 201 00:12:12,880 --> 00:12:13,960 Speaker 1: father head polio. 202 00:12:14,600 --> 00:12:16,760 Speaker 2: One thing I'm noticing from your answers is that you 203 00:12:16,840 --> 00:12:22,439 Speaker 2: have this keen ability to spot patterns and analyze patterns. 204 00:12:22,960 --> 00:12:26,000 Speaker 2: You're almost seeing that there are systems, which ultimately are 205 00:12:26,040 --> 00:12:28,920 Speaker 2: patterns that no longer serve us, and you believe that 206 00:12:29,000 --> 00:12:32,520 Speaker 2: there are better systems or better patterns that would have 207 00:12:32,600 --> 00:12:35,360 Speaker 2: an impact on the world. And you also have used 208 00:12:35,360 --> 00:12:38,160 Speaker 2: the word study a few times in your first few answers, 209 00:12:39,200 --> 00:12:42,360 Speaker 2: And I think there's this big difference between academic study 210 00:12:42,960 --> 00:12:46,680 Speaker 2: and pattern study. And I find that the most successful 211 00:12:46,840 --> 00:12:50,200 Speaker 2: people in the world are great at studying patterns. It's 212 00:12:50,240 --> 00:12:53,240 Speaker 2: not really about the academic study. Could you help break 213 00:12:53,280 --> 00:12:55,520 Speaker 2: both of those down for us, because I feel like 214 00:12:56,280 --> 00:12:58,360 Speaker 2: you're probably the best person to ask that question too. 215 00:12:58,440 --> 00:13:01,080 Speaker 2: In genuinely understand the difference because I think we had 216 00:13:01,120 --> 00:13:03,120 Speaker 2: the Wed study, but when you say the Wed study 217 00:13:03,160 --> 00:13:03,960 Speaker 2: you mean something else. 218 00:13:04,440 --> 00:13:10,000 Speaker 1: I would say extremely insightful. So we could say there 219 00:13:10,120 --> 00:13:15,959 Speaker 1: is inductive reasons. There's deductive reasons. The very first speech 220 00:13:16,040 --> 00:13:19,120 Speaker 1: I gave on Wall Street was the best investor was 221 00:13:19,200 --> 00:13:24,000 Speaker 1: a social scientist understanding what things were in a bigger 222 00:13:24,080 --> 00:13:29,520 Speaker 1: world and stepping back and then going down and looking 223 00:13:29,600 --> 00:13:34,480 Speaker 1: at the data to find out if your broad ideas 224 00:13:34,559 --> 00:13:39,320 Speaker 1: of the world were changing. In the last few months, 225 00:13:39,360 --> 00:13:43,960 Speaker 1: the world has opened up to the idea of where 226 00:13:44,000 --> 00:13:49,000 Speaker 1: are the children of the world? For twenty years. The 227 00:13:49,120 --> 00:13:52,600 Speaker 1: handwriting has been on the wall. The world did not 228 00:13:52,960 --> 00:13:56,360 Speaker 1: open up to it until the last short period of 229 00:13:56,400 --> 00:14:01,200 Speaker 1: time here. But the birth rate in northern in Asia, Europe, 230 00:14:01,320 --> 00:14:06,760 Speaker 1: the United States has dropped so significantly that whereas the 231 00:14:06,840 --> 00:14:09,960 Speaker 1: population of the US is doubled, there are less children 232 00:14:10,080 --> 00:14:13,800 Speaker 1: born today than there were seventy years ago in the 233 00:14:13,880 --> 00:14:18,520 Speaker 1: United States. China's birth rate has dropped so low that 234 00:14:18,640 --> 00:14:21,480 Speaker 1: the number of children born in China last year was 235 00:14:21,560 --> 00:14:25,200 Speaker 1: less than ten million. So you think about a country 236 00:14:25,280 --> 00:14:29,840 Speaker 1: of one point four billion, but of average life expectancy, 237 00:14:30,040 --> 00:14:32,680 Speaker 1: taking those that live to one hundred and averaging with 238 00:14:32,800 --> 00:14:36,840 Speaker 1: those that die young is seventy five. If you have 239 00:14:36,960 --> 00:14:40,840 Speaker 1: ten million children born a year and you multiply it 240 00:14:40,880 --> 00:14:44,560 Speaker 1: by seventy five, that's a population of seven hundred and 241 00:14:44,560 --> 00:14:48,840 Speaker 1: fifty million, not a billion. Four And so as people 242 00:14:49,000 --> 00:14:53,120 Speaker 1: think about things, We've had more people dying in Japan 243 00:14:53,320 --> 00:14:58,520 Speaker 1: now for a very long period of time than are born, 244 00:14:58,720 --> 00:15:02,640 Speaker 1: and so they have decreasing population. In most of the 245 00:15:02,800 --> 00:15:07,680 Speaker 1: developed worlds, the birth rate is below replacement. But this 246 00:15:07,760 --> 00:15:11,440 Speaker 1: has not been going on for since the pandemic. This 247 00:15:11,520 --> 00:15:13,760 Speaker 1: has been going on for a long period of time, 248 00:15:13,880 --> 00:15:17,840 Speaker 1: and so when do you see it? And so about 249 00:15:18,000 --> 00:15:22,120 Speaker 1: twenty thirty years ago, became quite concerned because it appeared 250 00:15:22,200 --> 00:15:26,640 Speaker 1: to us that the future where the children were going 251 00:15:26,720 --> 00:15:30,120 Speaker 1: to be born was in Sub Sahara Africa, and the 252 00:15:30,160 --> 00:15:34,480 Speaker 1: rest of the world as a whole might be decreasing 253 00:15:34,640 --> 00:15:38,520 Speaker 1: in terms of population. So what were the opportunities going 254 00:15:38,600 --> 00:15:42,680 Speaker 1: to be for the children of Sub Sahara Africa? And today, 255 00:15:43,080 --> 00:15:47,640 Speaker 1: in twenty twenty three, more children are born in Nigeria 256 00:15:48,800 --> 00:15:54,160 Speaker 1: than all of Western Europe, Eastern Europe, throw in Russia 257 00:15:54,200 --> 00:15:58,080 Speaker 1: by a substantial amount, and more than twice as many 258 00:15:58,240 --> 00:16:02,400 Speaker 1: children are born and Geria than the United States. So 259 00:16:03,120 --> 00:16:07,080 Speaker 1: people are looking at where you are here now. When 260 00:16:07,120 --> 00:16:10,760 Speaker 1: I had my little ALMANACX, I was too young to 261 00:16:10,920 --> 00:16:16,040 Speaker 1: know that if you matched one almanac against another almanac, 262 00:16:16,920 --> 00:16:21,480 Speaker 1: you were actually getting the first derivative. You were measuring change, 263 00:16:22,800 --> 00:16:25,120 Speaker 1: and then if you had a few of them, you 264 00:16:25,160 --> 00:16:28,120 Speaker 1: were measuring the rate of change. And so I think 265 00:16:28,560 --> 00:16:31,720 Speaker 1: when answering your question, you have to look at the 266 00:16:31,760 --> 00:16:37,200 Speaker 1: broad social implications and what is occurring. Then you have 267 00:16:37,280 --> 00:16:41,720 Speaker 1: to ask yourself to the systems that currently exist fit 268 00:16:42,480 --> 00:16:45,880 Speaker 1: where the world is going. I then if I had 269 00:16:46,000 --> 00:16:51,040 Speaker 1: four almanacs, could calculate the second derivative, the rate of change, 270 00:16:51,600 --> 00:16:55,560 Speaker 1: and I would say this is prevalent. In medicine, you 271 00:16:55,640 --> 00:16:59,240 Speaker 1: could be diagnosed with cancer, is it a slow growing 272 00:16:59,320 --> 00:17:03,359 Speaker 1: cranzer or instead of fast growing And the case of melanoma, 273 00:17:03,480 --> 00:17:06,600 Speaker 1: it doubled every month if it was advanced. So a 274 00:17:06,680 --> 00:17:11,520 Speaker 1: billion cancer sales ten months later are a trillion. Other 275 00:17:11,640 --> 00:17:14,520 Speaker 1: cancers are very slow growing, so you could take your 276 00:17:14,560 --> 00:17:18,320 Speaker 1: time to address it. And so understanding the rate of 277 00:17:18,440 --> 00:17:22,280 Speaker 1: change and today what's happening in the world and where 278 00:17:22,280 --> 00:17:25,399 Speaker 1: the children are born, and the facts that they're going 279 00:17:25,480 --> 00:17:28,600 Speaker 1: to need opportunities, they're going to need jobs, or we're 280 00:17:28,640 --> 00:17:32,240 Speaker 1: going to see one to two billion people on the move. 281 00:17:32,400 --> 00:17:36,280 Speaker 1: So the question is when how early do you see that? 282 00:17:37,000 --> 00:17:40,800 Speaker 1: And one of the exciting things about medicine today is 283 00:17:40,840 --> 00:17:44,200 Speaker 1: in the nineteen eighties, there was this idea that everything 284 00:17:44,400 --> 00:17:47,760 Speaker 1: was in your blood. Well, you didn't know what to 285 00:17:47,800 --> 00:17:51,600 Speaker 1: look for, you couldn't sequence, you couldn't do anything. So 286 00:17:52,560 --> 00:17:55,800 Speaker 1: might be there, but I can't find it. Now today, 287 00:17:56,560 --> 00:18:01,000 Speaker 1: we now have tests that can measure the waste, the 288 00:18:01,160 --> 00:18:05,199 Speaker 1: DNA link leakage in your blood, So you can find 289 00:18:05,280 --> 00:18:09,200 Speaker 1: a life threatening disease today when there's just a very 290 00:18:09,200 --> 00:18:13,359 Speaker 1: small amount of cells in your body, long before you 291 00:18:13,400 --> 00:18:16,800 Speaker 1: could ever find it in a mammogram or a CT 292 00:18:17,119 --> 00:18:21,160 Speaker 1: or an MRI. And so therefore dealing with these life 293 00:18:21,200 --> 00:18:25,879 Speaker 1: threatning diseases today at their infancy is so much easier. 294 00:18:25,920 --> 00:18:30,200 Speaker 1: But this was a dream until computers were a million 295 00:18:30,280 --> 00:18:34,480 Speaker 1: times faster and data storage costs were one billion. It 296 00:18:34,520 --> 00:18:37,680 Speaker 1: was an idea, It was a dream, but it wasn't 297 00:18:37,680 --> 00:18:38,359 Speaker 1: a reality. 298 00:18:38,720 --> 00:18:41,440 Speaker 2: Absolutely, thank you for sharing that I wanted to before 299 00:18:41,480 --> 00:18:44,119 Speaker 2: we dive into all the incredible work you've done in healthcare. 300 00:18:44,160 --> 00:18:46,640 Speaker 2: I definitely wanted to talk about this part of your Jenny, 301 00:18:46,680 --> 00:18:51,120 Speaker 2: which we've talked about personally. But you making all these 302 00:18:51,119 --> 00:18:53,240 Speaker 2: shifts and changes and pushing the boundaries. You ended up 303 00:18:53,280 --> 00:18:56,240 Speaker 2: going to prison in nineteen ninety after pleading guilty to 304 00:18:56,240 --> 00:19:00,919 Speaker 2: several felony charges related to securities violations. But to me, 305 00:19:02,160 --> 00:19:05,919 Speaker 2: I'm fascinated by a how that happened for you, but 306 00:19:06,040 --> 00:19:09,320 Speaker 2: be more importantly how you use that time because the 307 00:19:09,480 --> 00:19:14,440 Speaker 2: comeback now looking backwards, it's it's incredible. But to live 308 00:19:14,480 --> 00:19:17,679 Speaker 2: that Steve Jobs famously said, you can always connect the 309 00:19:17,720 --> 00:19:22,119 Speaker 2: dots looking backwards, you can't when you're moving forwards. I 310 00:19:22,240 --> 00:19:25,000 Speaker 2: just can't imagine someone who had such a vision, someone 311 00:19:25,040 --> 00:19:28,879 Speaker 2: had such incredible ideas to challenge the status quo. Ends 312 00:19:28,920 --> 00:19:31,760 Speaker 2: about it to go to prison, walk us through first 313 00:19:31,800 --> 00:19:32,880 Speaker 2: of all, how did you. 314 00:19:32,880 --> 00:19:33,480 Speaker 3: End up there? 315 00:19:34,400 --> 00:19:36,040 Speaker 2: And then and then we'll talk about what it was 316 00:19:36,119 --> 00:19:39,600 Speaker 2: like there, because I think that's just such an interesting 317 00:19:39,640 --> 00:19:40,439 Speaker 2: part of your journey. 318 00:19:40,480 --> 00:19:43,479 Speaker 1: Now looking backwards, well, I think that issue there was 319 00:19:43,840 --> 00:19:49,840 Speaker 1: an unusual period of time and once again complete revolution 320 00:19:50,040 --> 00:19:54,680 Speaker 1: and finance. There are many points in history where you've 321 00:19:54,720 --> 00:19:58,359 Speaker 1: had people that were presidents went to prison Brazil today 322 00:19:58,400 --> 00:20:00,400 Speaker 1: and are now the president of the country. You again, 323 00:20:01,400 --> 00:20:04,840 Speaker 1: So when the president gave me a pardon, he commented 324 00:20:06,040 --> 00:20:09,800 Speaker 1: that these things were never crimes before. They've never been 325 00:20:09,840 --> 00:20:14,000 Speaker 1: crimes since they related to bookkeeping and things like that, 326 00:20:15,080 --> 00:20:17,240 Speaker 1: but I had to find a way to bring it 327 00:20:17,320 --> 00:20:21,760 Speaker 1: to an end. And if you fought for ten or 328 00:20:21,800 --> 00:20:25,200 Speaker 1: twenty years, to me, I had to find a way 329 00:20:25,240 --> 00:20:28,000 Speaker 1: to live again. And so I think if you're true 330 00:20:28,000 --> 00:20:32,160 Speaker 1: to yourself and you know the issues and the individuals 331 00:20:32,280 --> 00:20:35,840 Speaker 1: know you, I viewed this as going to be a 332 00:20:35,880 --> 00:20:39,040 Speaker 1: short period of time and I had to cut it 333 00:20:39,119 --> 00:20:42,960 Speaker 1: short and make a decision for my family, etc. To 334 00:20:43,000 --> 00:20:47,320 Speaker 1: live again. And it was a short period of time 335 00:20:47,359 --> 00:20:50,119 Speaker 1: and the scheme of things. When I think of the 336 00:20:50,200 --> 00:20:54,880 Speaker 1: diversion of less than two years, if I go back 337 00:20:54,920 --> 00:20:58,840 Speaker 1: to World War Two, you had people that volunteered and 338 00:20:58,880 --> 00:21:02,800 Speaker 1: were gone for four years fighting for freedom and what 339 00:21:02,840 --> 00:21:06,679 Speaker 1: they believed in. And so I think my view was 340 00:21:07,560 --> 00:21:09,960 Speaker 1: that I had to find a solution to bring it 341 00:21:10,040 --> 00:21:14,720 Speaker 1: to an end, and it didn't really change who I was, 342 00:21:15,400 --> 00:21:20,000 Speaker 1: what I did. The financial systems we built are now 343 00:21:20,040 --> 00:21:24,359 Speaker 1: adopted throughout the world, whether you're in India or Singapore 344 00:21:24,440 --> 00:21:28,840 Speaker 1: or whatever it might be. And yes, there was disruption 345 00:21:29,119 --> 00:21:32,320 Speaker 1: in the force. I would say to you if you 346 00:21:32,440 --> 00:21:34,879 Speaker 1: think about a country. You and I first met in 347 00:21:34,960 --> 00:21:42,120 Speaker 1: the UK when the mercantile class rose up in England, 348 00:21:43,920 --> 00:21:49,600 Speaker 1: who was under threat the nobility, and so the mobility 349 00:21:49,640 --> 00:21:52,000 Speaker 1: would go to the king or the queen and say, well, 350 00:21:52,040 --> 00:21:54,959 Speaker 1: we can't compete anymore. What are we going to do? 351 00:21:55,040 --> 00:21:59,520 Speaker 1: But the old financial system didn't really meet the future 352 00:21:59,560 --> 00:22:05,159 Speaker 1: needs the world. And so yes, I spent time thinking. 353 00:22:05,200 --> 00:22:09,000 Speaker 1: I got to tutor individuals, help them get their education. 354 00:22:09,760 --> 00:22:12,240 Speaker 3: How did you spend your days for those two years? 355 00:22:12,640 --> 00:22:15,320 Speaker 1: I spent my time thinking about the world. I would 356 00:22:15,400 --> 00:22:21,520 Speaker 1: write sometimes ambassadors around the world, suggesting what I think 357 00:22:21,560 --> 00:22:23,800 Speaker 1: they should have done, or should do, or what the 358 00:22:23,840 --> 00:22:32,400 Speaker 1: country should do. So it didn't it didn't interrupt those interactions, 359 00:22:32,520 --> 00:22:37,560 Speaker 1: it didn't stop our philanthropic efforts, etc. I did get 360 00:22:37,600 --> 00:22:40,200 Speaker 1: to interact with a group of people at that time, 361 00:22:40,280 --> 00:22:44,639 Speaker 1: the group that was in the prison camp, this was 362 00:22:44,680 --> 00:22:49,760 Speaker 1: a very low security area, were primarily there for drugs, marijuana, 363 00:22:50,640 --> 00:22:55,280 Speaker 1: ship captains and other types of things. And so it 364 00:22:55,440 --> 00:22:58,040 Speaker 1: was a period of time I was able to interact 365 00:22:58,040 --> 00:23:01,560 Speaker 1: with my family. I think anyone that's separated from their family, 366 00:23:01,600 --> 00:23:05,040 Speaker 1: and when I think back to those people that went 367 00:23:05,080 --> 00:23:08,160 Speaker 1: and fought in World War Two in the nineteen forties, 368 00:23:08,920 --> 00:23:12,240 Speaker 1: that might have been separated for four years, their only 369 00:23:12,359 --> 00:23:15,600 Speaker 1: way of communicating with their family was through a letter. 370 00:23:17,640 --> 00:23:22,600 Speaker 1: You know, the telephone was invented and in long distance call. 371 00:23:22,680 --> 00:23:25,240 Speaker 1: When I was young, no one made long distance calls 372 00:23:25,280 --> 00:23:28,880 Speaker 1: because it was ten to twelve minutes to call another country. 373 00:23:29,400 --> 00:23:32,280 Speaker 1: So in the nineteen seventies, if I wanted to speak 374 00:23:32,320 --> 00:23:36,400 Speaker 1: to Mumbai, I had to be prepared. It was ten 375 00:23:36,480 --> 00:23:40,080 Speaker 1: dollars to twelve hours a minute, so those calls had 376 00:23:40,080 --> 00:23:43,439 Speaker 1: to be short. And that was a period of time. 377 00:23:44,520 --> 00:23:47,240 Speaker 1: In that period of time when a person's salary was 378 00:23:47,359 --> 00:23:50,840 Speaker 1: hundreds of dollars a week, not thousands of dollars a week. 379 00:23:52,160 --> 00:23:55,280 Speaker 1: Today people have a hard time relating to that because 380 00:23:55,280 --> 00:23:59,560 Speaker 1: it's free on WhatsApp or on your phone. But I 381 00:23:59,560 --> 00:24:03,640 Speaker 1: could communicate with my children, my family, and so when 382 00:24:03,680 --> 00:24:07,639 Speaker 1: you're separated, the first thought is is your family going 383 00:24:07,680 --> 00:24:13,160 Speaker 1: to be okay? Are your relationships? My wife and I 384 00:24:13,240 --> 00:24:16,640 Speaker 1: had known each other since we were twelve. She knew 385 00:24:16,680 --> 00:24:21,360 Speaker 1: who I was, I knew who she was. My business associates, 386 00:24:21,440 --> 00:24:25,400 Speaker 1: thousands of them knew who I was, knew the issues, 387 00:24:25,480 --> 00:24:29,560 Speaker 1: and so it wasn't a situation where I felt separated 388 00:24:29,840 --> 00:24:36,359 Speaker 1: from the world, you know, And therefore communication still existed. 389 00:24:37,240 --> 00:24:40,440 Speaker 1: A telephone existed. You weren't allowed to have a cell phone, 390 00:24:40,480 --> 00:24:43,199 Speaker 1: but you could make a call on a payphone, so 391 00:24:44,000 --> 00:24:48,440 Speaker 1: it wasn't the same separation. When I think of many 392 00:24:48,480 --> 00:24:53,640 Speaker 1: people that were sent to the gulag in Russia, there's 393 00:24:53,920 --> 00:24:57,480 Speaker 1: you know, whether it was soul Needsen or others or Shermansky. 394 00:24:58,000 --> 00:25:02,800 Speaker 1: They wrote about how they took away their communications, they 395 00:25:02,840 --> 00:25:06,760 Speaker 1: took away their visits. They even took away pencil and paper, 396 00:25:07,800 --> 00:25:11,600 Speaker 1: they took away books. And one of them wrote that 397 00:25:10,960 --> 00:25:15,120 Speaker 1: he knew he had won then because there was nothing 398 00:25:15,160 --> 00:25:19,120 Speaker 1: else that they could take away. And so I think 399 00:25:19,200 --> 00:25:23,480 Speaker 1: having inner strength is extremely important during that period. When 400 00:25:23,480 --> 00:25:29,600 Speaker 1: when I think about my challenges relative to the tens 401 00:25:29,640 --> 00:25:33,520 Speaker 1: of millions of people that have gone off to fight 402 00:25:33,600 --> 00:25:39,240 Speaker 1: in wars, my parents' generation that lived through the depression 403 00:25:39,320 --> 00:25:44,720 Speaker 1: and World War Two so that we could be free, 404 00:25:44,760 --> 00:25:48,760 Speaker 1: my difficulties were very small relative to theirs. 405 00:25:50,200 --> 00:25:52,960 Speaker 2: This episode is brought to you by eight Sleep. Did 406 00:25:53,000 --> 00:25:55,440 Speaker 2: you know that temperature is one of the most important 407 00:25:55,480 --> 00:25:59,040 Speaker 2: factors in improving your sleep quality? When you wake up 408 00:25:59,080 --> 00:26:01,520 Speaker 2: in the middle of the nine or feel extra groggy 409 00:26:01,520 --> 00:26:05,120 Speaker 2: in the morning, temperature is almost always to blame. 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I think it's 434 00:27:26,000 --> 00:27:28,439 Speaker 2: an incredible amount of in his strength, not only to 435 00:27:28,480 --> 00:27:31,840 Speaker 2: be able to navigate those two years, even though you 436 00:27:31,880 --> 00:27:34,560 Speaker 2: are saying you didn't feel that long in the biggest 437 00:27:34,600 --> 00:27:37,000 Speaker 2: scheme of things that I still believe that there is 438 00:27:37,040 --> 00:27:40,600 Speaker 2: such a resilience there. But the way you came back. 439 00:27:40,880 --> 00:27:44,040 Speaker 1: Well, let's just talk about n Della. You're talking more 440 00:27:44,119 --> 00:27:45,080 Speaker 1: than twenty. 441 00:27:44,840 --> 00:27:46,840 Speaker 3: Years, Yeah, twenty seven, okay? 442 00:27:46,880 --> 00:27:51,439 Speaker 1: And did he come back bitter? No? Okay? And in 443 00:27:52,320 --> 00:27:57,080 Speaker 1: South Africa became quite different, let's say, than Zimbabwe as 444 00:27:57,200 --> 00:28:01,680 Speaker 1: Rhodesha went, so he instead of being bitter, and when 445 00:28:01,680 --> 00:28:04,920 Speaker 1: he got out, I had a chance to visit with him. 446 00:28:04,960 --> 00:28:09,919 Speaker 1: We came to see each other. And so my view 447 00:28:10,359 --> 00:28:16,879 Speaker 1: was revenge or bitterness is an unproductive emotion. If you 448 00:28:17,000 --> 00:28:20,760 Speaker 1: have something to give and focus and build, you have 449 00:28:20,880 --> 00:28:24,600 Speaker 1: to focus going forward. You can't sit and focus on 450 00:28:24,640 --> 00:28:28,440 Speaker 1: the path. And I had thousands of people that had 451 00:28:28,480 --> 00:28:32,080 Speaker 1: worked for me who could carry on our mission in 452 00:28:32,160 --> 00:28:38,320 Speaker 1: finance and our foundations. By forming the Milk And Institute 453 00:28:39,280 --> 00:28:41,440 Speaker 1: didn't change much what I had done in the for 454 00:28:41,640 --> 00:28:44,960 Speaker 1: profit world. There I now did in the nonprofit world. 455 00:28:45,280 --> 00:28:51,640 Speaker 1: So my view was the insights, the ideas carried on. 456 00:28:52,520 --> 00:28:56,880 Speaker 1: And I'm sure you know the current president in Brazil, 457 00:28:57,240 --> 00:29:00,640 Speaker 1: who spent a short time in prison, you know, has 458 00:29:00,680 --> 00:29:04,000 Speaker 1: certain views, but he has so many responsibilities and things 459 00:29:04,040 --> 00:29:07,840 Speaker 1: he has to do for Brazil. If he was stuck 460 00:29:07,880 --> 00:29:10,160 Speaker 1: in the past, Brazil wouldn't have a future. 461 00:29:10,760 --> 00:29:13,040 Speaker 2: I'm so glad you brought up Nelson Mandela. There's a 462 00:29:13,040 --> 00:29:16,880 Speaker 2: beautiful statement Inze where he said that when I walked 463 00:29:16,920 --> 00:29:21,640 Speaker 2: out of the gates of the jail, I realized that 464 00:29:21,720 --> 00:29:25,480 Speaker 2: if I was to hold on to that resentment or bitterness, 465 00:29:26,080 --> 00:29:29,880 Speaker 2: that I would still be in prison and along those lines, 466 00:29:29,880 --> 00:29:31,800 Speaker 2: and I think that's such a powerful statement of his 467 00:29:32,040 --> 00:29:34,960 Speaker 2: that he believed that resentment and bitterness and revenge with 468 00:29:35,080 --> 00:29:38,840 Speaker 2: the actual prison that would hold and limit him moving forward. 469 00:29:39,240 --> 00:29:42,840 Speaker 1: Well, as you know well and your viewers know well, 470 00:29:42,960 --> 00:29:46,400 Speaker 1: there are so many people in the world that have 471 00:29:46,520 --> 00:29:51,240 Speaker 1: mental health issues today, and in many ways they're all 472 00:29:51,360 --> 00:29:57,400 Speaker 1: traced to something in their past. And so being free, 473 00:29:57,840 --> 00:30:05,240 Speaker 1: being free of your past, not forgetting it, not reflecting 474 00:30:05,280 --> 00:30:09,000 Speaker 1: on it, not having it be part of your decision process, 475 00:30:09,080 --> 00:30:15,280 Speaker 1: allows you to go forward and to fly from that standpoint. 476 00:30:15,000 --> 00:30:18,480 Speaker 2: Absolutely, I want to talk about your switch from financial 477 00:30:18,760 --> 00:30:22,120 Speaker 2: well to medical research, but before we do that, I 478 00:30:22,120 --> 00:30:24,440 Speaker 2: want to talk about your own journey with being diagnosed 479 00:30:24,480 --> 00:30:29,320 Speaker 2: with terminal prostate cancer, which I can't imagine is an 480 00:30:29,360 --> 00:30:31,840 Speaker 2: easy thing to hear at such a young age as 481 00:30:31,880 --> 00:30:34,680 Speaker 2: well when you first received that. What was it like 482 00:30:34,800 --> 00:30:38,440 Speaker 2: to receive such a diagnosis as someone again who is 483 00:30:38,760 --> 00:30:41,440 Speaker 2: thinking about the future, trying to build. Were you someone 484 00:30:41,440 --> 00:30:44,479 Speaker 2: who was quite focused on your health as well, or 485 00:30:44,520 --> 00:30:46,960 Speaker 2: were you somewhat negligent because you were focused on work? 486 00:30:47,000 --> 00:30:48,720 Speaker 2: And how did it feel to hear that. 487 00:30:49,280 --> 00:30:51,480 Speaker 1: I would say to you, I probably had one of 488 00:30:51,520 --> 00:30:54,920 Speaker 1: the least healthy diets in the world until that day 489 00:30:55,000 --> 00:31:01,120 Speaker 1: I was diagnosed. But I experience this with my father's 490 00:31:01,160 --> 00:31:05,400 Speaker 1: death in the nineteen seventies, and it was the first 491 00:31:05,480 --> 00:31:11,520 Speaker 1: time my economic theories were tested during a period of 492 00:31:11,560 --> 00:31:15,400 Speaker 1: time from seventy three to seventy seven, which I would 493 00:31:15,480 --> 00:31:18,920 Speaker 1: call my financial clinical trials, all the ideas that I 494 00:31:19,000 --> 00:31:23,920 Speaker 1: had developed, and by the mid nineteen seventies I had 495 00:31:23,960 --> 00:31:29,000 Speaker 1: become independently wealthy with the success of those ideas, and 496 00:31:29,160 --> 00:31:33,400 Speaker 1: most of them, ninety percent of the people believed we 497 00:31:33,400 --> 00:31:39,920 Speaker 1: were headed to this financial depression again, and my views were, No, 498 00:31:40,160 --> 00:31:43,920 Speaker 1: we weren't in history, but I could not save my 499 00:31:44,080 --> 00:31:50,240 Speaker 1: father's life from melanoma. And it had a significant view 500 00:31:50,400 --> 00:31:53,760 Speaker 1: here that it was the first time in my life 501 00:31:53,840 --> 00:31:56,360 Speaker 1: that I could not solve a problem. I could help 502 00:31:56,440 --> 00:31:59,800 Speaker 1: rebuild a company, I might be able to help rebuild 503 00:31:59,840 --> 00:32:04,040 Speaker 1: a country financially, but I could not find a decision. 504 00:32:04,120 --> 00:32:07,360 Speaker 1: I visited all these senior people, and I went to 505 00:32:07,440 --> 00:32:11,160 Speaker 1: the major medical centers travel with my dad, and I 506 00:32:11,320 --> 00:32:15,840 Speaker 1: concluded by nineteen seventy six that science could not move 507 00:32:15,960 --> 00:32:20,440 Speaker 1: fast enough no matter what I had done or could 508 00:32:20,480 --> 00:32:25,360 Speaker 1: do to save my father's life. So I had made 509 00:32:25,360 --> 00:32:29,360 Speaker 1: the decision then to move back to California so that 510 00:32:29,400 --> 00:32:33,000 Speaker 1: my two children, my wife Laurie, and I two children 511 00:32:33,040 --> 00:32:36,280 Speaker 1: at the time, would know my father before he died. 512 00:32:36,320 --> 00:32:39,880 Speaker 1: And he died about nine months after we moved back 513 00:32:39,920 --> 00:32:44,520 Speaker 1: to California, and then I moved families, et cetera, thousands 514 00:32:44,520 --> 00:32:49,720 Speaker 1: of people back to California, And so this has stayed 515 00:32:49,720 --> 00:32:53,880 Speaker 1: with me. I've lost ten relatives to cancer, and my 516 00:32:54,080 --> 00:32:58,840 Speaker 1: diagnosis was worse than theirs. So obviously I'm now reflecting 517 00:33:00,000 --> 00:33:02,280 Speaker 1: what am I going to do and when it looked 518 00:33:02,320 --> 00:33:06,320 Speaker 1: like I had eighteen months to live. You have to 519 00:33:06,360 --> 00:33:10,160 Speaker 1: figure out what could I do different than they did. 520 00:33:10,960 --> 00:33:14,640 Speaker 1: And the first decision I made is I would focus 521 00:33:14,720 --> 00:33:20,080 Speaker 1: on anything that's reversible. So for two years I did 522 00:33:20,120 --> 00:33:25,680 Speaker 1: not eat anything except fresh fruit and fresh vegetables. I 523 00:33:25,720 --> 00:33:29,640 Speaker 1: had no idea whether it would benefit me, but I 524 00:33:29,800 --> 00:33:34,360 Speaker 1: figured it wouldn't hurt me, and none of my relatives 525 00:33:34,480 --> 00:33:38,800 Speaker 1: or friends who had died from life threatening diseases had 526 00:33:38,840 --> 00:33:42,960 Speaker 1: ever changed their diety. And as I explored the world 527 00:33:43,120 --> 00:33:47,840 Speaker 1: of the Chi medicine in China, or eire Veda medicine 528 00:33:47,880 --> 00:33:51,760 Speaker 1: in India, or witch doctors in the central part of Africa, 529 00:33:52,840 --> 00:33:58,160 Speaker 1: or Indians in the northwest Amazon, or healers from Russia, 530 00:33:59,800 --> 00:34:03,320 Speaker 1: it came to me that I would really focus on 531 00:34:03,360 --> 00:34:09,799 Speaker 1: ora Veda medicine and then five thousand year history. The 532 00:34:09,920 --> 00:34:14,040 Speaker 1: belief was your gut, your microbiome was your second brain. 533 00:34:15,120 --> 00:34:19,480 Speaker 1: So everything you eat, everything you drink, everything you exercise, 534 00:34:19,680 --> 00:34:25,239 Speaker 1: everything you're experiencing is going into your second brain. So 535 00:34:25,400 --> 00:34:29,040 Speaker 1: I was going to change my second brain, even though 536 00:34:29,080 --> 00:34:33,440 Speaker 1: there was no proof you couldn't sequence at the time. 537 00:34:34,920 --> 00:34:38,040 Speaker 1: And so that was a focus that I focused on, 538 00:34:38,239 --> 00:34:40,800 Speaker 1: and I think The other thing I was very focused 539 00:34:40,840 --> 00:34:45,600 Speaker 1: on is that most people diagnose with a life threatening 540 00:34:45,680 --> 00:34:52,360 Speaker 1: disease do the least they can do at day one, 541 00:34:52,560 --> 00:34:55,960 Speaker 1: and if it reoccurs later in life, they do everything 542 00:34:56,000 --> 00:34:58,360 Speaker 1: they can to stay alive. But if you had done 543 00:34:58,440 --> 00:35:02,840 Speaker 1: more at the beginning, then you have had a better chance. 544 00:35:03,120 --> 00:35:07,480 Speaker 1: And so once I had driven my cancer burden to 545 00:35:07,560 --> 00:35:12,040 Speaker 1: what appeared to be zero, I then made the decision 546 00:35:12,040 --> 00:35:15,760 Speaker 1: to have radiation, whereas someone else might have done nothing, 547 00:35:16,200 --> 00:35:20,000 Speaker 1: because I figured the burden was the least. And so 548 00:35:20,640 --> 00:35:23,960 Speaker 1: I set off on this journey thinking about my father 549 00:35:24,080 --> 00:35:26,719 Speaker 1: and my relatives and friends. And I had a bunch 550 00:35:26,800 --> 00:35:30,280 Speaker 1: of friends that I had interacted with that had passed away, 551 00:35:31,360 --> 00:35:36,239 Speaker 1: that how could I accelerate science? So first I could 552 00:35:36,239 --> 00:35:40,120 Speaker 1: try to change my body. And at this time we 553 00:35:40,120 --> 00:35:44,759 Speaker 1: weren't talking crisper. We weren't talking about a technology that 554 00:35:44,800 --> 00:35:49,200 Speaker 1: could change your genes that is still not wildly to deploy, 555 00:35:49,360 --> 00:35:52,200 Speaker 1: because we don't know as we create a new human 556 00:35:52,320 --> 00:35:57,239 Speaker 1: race whether this is good or bad. And so I 557 00:35:57,320 --> 00:36:00,920 Speaker 1: set off on this journey of how to accel rate science. 558 00:36:01,960 --> 00:36:05,279 Speaker 1: But that journey in science is not much different than 559 00:36:05,320 --> 00:36:08,480 Speaker 1: my journey in finance or the journey, we took an 560 00:36:08,600 --> 00:36:12,040 Speaker 1: education in what we did. I was going to try 561 00:36:12,080 --> 00:36:15,799 Speaker 1: to attract the best and most talented people in the 562 00:36:15,880 --> 00:36:21,440 Speaker 1: world to come work in this field. And no matter 563 00:36:21,520 --> 00:36:26,839 Speaker 1: how talented you were, if you were the individual that 564 00:36:27,040 --> 00:36:31,560 Speaker 1: perceived the future was mobile phones or cell phones, Craig McCall, 565 00:36:33,200 --> 00:36:36,080 Speaker 1: that was a good idea, but unless you had access 566 00:36:36,160 --> 00:36:39,520 Speaker 1: to billions of dollars, you could never access that idea. 567 00:36:39,640 --> 00:36:43,560 Speaker 1: If you were Bill McGowan and believed fiber optics would 568 00:36:43,680 --> 00:36:48,200 Speaker 1: change and we could drive the cost over time from 569 00:36:48,239 --> 00:36:51,240 Speaker 1: twelve dollars a minute to talk to India to zero, 570 00:36:52,800 --> 00:36:56,759 Speaker 1: you needed billions of dollars. So the same focus of 571 00:36:56,840 --> 00:37:01,719 Speaker 1: attention one attract the best and brightest to work in 572 00:37:01,760 --> 00:37:06,359 Speaker 1: the field. Two bring enough financial capital to serve as 573 00:37:06,360 --> 00:37:15,319 Speaker 1: a multiplier effect, and three create teamwork. Many organizations have 574 00:37:15,520 --> 00:37:20,160 Speaker 1: people that have real talent, but they don't act as 575 00:37:20,160 --> 00:37:25,000 Speaker 1: a team. They don't act as one and therefore what 576 00:37:25,120 --> 00:37:29,600 Speaker 1: I saw in medicine there was no team, there was 577 00:37:29,680 --> 00:37:33,880 Speaker 1: not enough financial capital, and many of the brightest people 578 00:37:33,920 --> 00:37:37,360 Speaker 1: were not working in this field. So those were the 579 00:37:37,440 --> 00:37:41,440 Speaker 1: first levels I was focused on. But that was no different. 580 00:37:42,120 --> 00:37:45,719 Speaker 1: In education, we had created a national Educator Award to 581 00:37:45,760 --> 00:37:50,279 Speaker 1: attract the best and brightest into the field, and finance 582 00:37:50,600 --> 00:37:54,880 Speaker 1: had searched out the world's leading entrepreneurs, providing them capital 583 00:37:54,920 --> 00:37:59,200 Speaker 1: and advice and helped create teams for them. So that 584 00:37:59,200 --> 00:38:04,239 Speaker 1: that was the revolution that began in ninety three in 585 00:38:04,280 --> 00:38:09,239 Speaker 1: healthcare and medical research. And I faced just as much 586 00:38:09,400 --> 00:38:15,480 Speaker 1: resistance as I did in the financial revolution. The first 587 00:38:15,520 --> 00:38:20,120 Speaker 1: comment was, prove it well. In nineteen ninety three, you 588 00:38:20,120 --> 00:38:24,719 Speaker 1: couldn't prove anything. I could show you antidotal evidence that 589 00:38:24,880 --> 00:38:29,320 Speaker 1: in places of the world where people were plant eaters China, 590 00:38:30,760 --> 00:38:36,440 Speaker 1: not meat eaters, that the incidents of hormone driven cancers 591 00:38:36,800 --> 00:38:41,600 Speaker 1: or diabetes was far less, and in places that we 592 00:38:41,719 --> 00:38:46,799 Speaker 1: had different diets, fast food diet, it was far more. So. Yes, 593 00:38:46,880 --> 00:38:50,239 Speaker 1: there was anecdotal evidence, and so they said, well, prove 594 00:38:50,280 --> 00:38:54,320 Speaker 1: it well. You couldn't sequence the human genome. You couldn't 595 00:38:54,360 --> 00:38:59,399 Speaker 1: do anything in nineteen ninety three, and Francis Collins, who 596 00:38:59,440 --> 00:39:01,360 Speaker 1: I met in I twenty three, set off on a 597 00:39:01,440 --> 00:39:05,919 Speaker 1: journey to sequence. It wasn't till many, many years later, 598 00:39:06,040 --> 00:39:09,839 Speaker 1: and billions of dollars that they completed that. And I'll 599 00:39:09,840 --> 00:39:13,440 Speaker 1: never forget. In nineteen ninety four, I had one of 600 00:39:13,480 --> 00:39:18,520 Speaker 1: our scientific retreats with the world's leading clinicians in cancer 601 00:39:18,600 --> 00:39:23,880 Speaker 1: and science, and I wanted to get a doctor David Heber, 602 00:39:23,920 --> 00:39:27,960 Speaker 1: who had founded the Center for Human Nutrition PHDMD at 603 00:39:28,040 --> 00:39:32,000 Speaker 1: UCLA on the program. And the people in charge of 604 00:39:32,000 --> 00:39:35,080 Speaker 1: the program said, you know, Mike, we're going to lose 605 00:39:35,120 --> 00:39:40,800 Speaker 1: credibility if we have this soft science ideas that there's 606 00:39:40,800 --> 00:39:45,480 Speaker 1: some relationship between what you eat and whether you're getting cancer. 607 00:39:46,960 --> 00:39:50,040 Speaker 1: And they fought me and told me it would degrade 608 00:39:50,239 --> 00:39:53,000 Speaker 1: what we're trying to build here as the leading cancer 609 00:39:53,120 --> 00:39:56,840 Speaker 1: research group in the world. And I eventually reached a 610 00:39:56,880 --> 00:40:00,000 Speaker 1: compromise with him. He would get to speak at linfe 611 00:40:00,360 --> 00:40:03,440 Speaker 1: I wrote about it. He would not be on the program, 612 00:40:03,920 --> 00:40:06,400 Speaker 1: he would not have a microphone, and if you wanted 613 00:40:06,400 --> 00:40:08,239 Speaker 1: to listen, you had to sit close. And if you 614 00:40:08,280 --> 00:40:12,239 Speaker 1: didn't want to be infected with this idea that there 615 00:40:12,360 --> 00:40:15,480 Speaker 1: might be a link to how you live your life 616 00:40:15,480 --> 00:40:17,800 Speaker 1: and what you eat and what you drink and your health, 617 00:40:18,360 --> 00:40:20,960 Speaker 1: you could just sit far away and worn't have to. 618 00:40:22,480 --> 00:40:28,040 Speaker 1: Twenty five years later, Jay, twenty five years later, I 619 00:40:28,120 --> 00:40:31,200 Speaker 1: went to our scientific retreat. I was not in charge 620 00:40:31,239 --> 00:40:37,720 Speaker 1: of the programming, and maybe twenty percent of every session 621 00:40:37,960 --> 00:40:44,480 Speaker 1: over four days was cancer and your microbio. So initially 622 00:40:44,600 --> 00:40:48,960 Speaker 1: putting forth ideas that challenge the status quo, whether it's finance, 623 00:40:49,080 --> 00:40:54,720 Speaker 1: whether it's education, or whether it's medical, are challenged. Later 624 00:40:56,080 --> 00:41:00,640 Speaker 1: they're accepted, well accepted in anyone could have thought of 625 00:41:00,680 --> 00:41:01,200 Speaker 1: that idea. 626 00:41:02,080 --> 00:41:02,319 Speaker 3: Yeah. 627 00:41:02,400 --> 00:41:06,600 Speaker 2: No, it's so fascinating because I feel like coming from 628 00:41:06,600 --> 00:41:10,040 Speaker 2: an Indian background and my wife being an aerobatic health counselor, 629 00:41:10,200 --> 00:41:14,080 Speaker 2: and you're so exposed to the idea early on that 630 00:41:14,160 --> 00:41:17,000 Speaker 2: your gut health is such a big part of your 631 00:41:17,040 --> 00:41:19,919 Speaker 2: overall health. But you're so right that until we see 632 00:41:19,960 --> 00:41:22,839 Speaker 2: it in the research and the science and beyond the anecdotes, 633 00:41:23,480 --> 00:41:27,640 Speaker 2: we don't fully comprehend these ideas. And so you're accelerating 634 00:41:27,680 --> 00:41:30,520 Speaker 2: that research. Now, what would you say were the biggest 635 00:41:30,600 --> 00:41:34,880 Speaker 2: challenges you saw when you entered the medical field in 636 00:41:35,960 --> 00:41:38,839 Speaker 2: research and in our treatment of diseases. 637 00:41:39,080 --> 00:41:41,640 Speaker 1: So I had entered the field in the early nineteen 638 00:41:41,719 --> 00:41:47,320 Speaker 1: seventies for twenty years, but I was primarily a donor, etc. 639 00:41:48,400 --> 00:41:53,439 Speaker 1: And as I mentioned, science was not moving fast enough 640 00:41:53,480 --> 00:41:57,879 Speaker 1: to save my father's life. So I in ninety three 641 00:41:58,160 --> 00:42:01,080 Speaker 1: designed it. I couldn't help others if I couldn't help 642 00:42:01,120 --> 00:42:05,759 Speaker 1: myself and I first had to survive. But there were 643 00:42:05,800 --> 00:42:12,640 Speaker 1: those three elements one teamwork, partnership, so I wrote about 644 00:42:12,719 --> 00:42:16,400 Speaker 1: I went to this MD Anderson, and the two leading 645 00:42:16,480 --> 00:42:19,839 Speaker 1: cancer centers off and on rated in the world were 646 00:42:19,880 --> 00:42:23,839 Speaker 1: either MD Anderson or Memorial Sloan Kettering in New York, 647 00:42:23,920 --> 00:42:28,160 Speaker 1: one in Houston, one in New York. And I noticed 648 00:42:28,200 --> 00:42:31,400 Speaker 1: there was no one from Memorial Sloan Kettering at the 649 00:42:31,480 --> 00:42:36,000 Speaker 1: cancer conference in Houston. And I told the person putting 650 00:42:36,000 --> 00:42:39,399 Speaker 1: the conference on, why is there no one here from 651 00:42:39,440 --> 00:42:42,800 Speaker 1: Memorial Sloan Kettering here if we're trying to accelerate research, 652 00:42:43,600 --> 00:42:47,520 Speaker 1: and he told me he viewed Memorial Sloan Kettering as 653 00:42:47,560 --> 00:42:53,040 Speaker 1: a competitor, and I told him not to the patient. So, therefore, 654 00:42:54,040 --> 00:42:59,080 Speaker 1: once we promised funding for research in this field, we 655 00:42:59,160 --> 00:43:02,799 Speaker 1: would only find if you shared all your data. And 656 00:43:02,840 --> 00:43:05,840 Speaker 1: I eventually gone on my board Andy Grove, who was 657 00:43:05,880 --> 00:43:09,360 Speaker 1: the CEO of Intel, and we worked on this is 658 00:43:09,480 --> 00:43:15,880 Speaker 1: early technology with computers and connecting, that we would connect 659 00:43:15,960 --> 00:43:19,880 Speaker 1: all of our researchers digitally together and it might be 660 00:43:20,000 --> 00:43:23,280 Speaker 1: easier for someone at MD Anderson to talk to someone 661 00:43:23,280 --> 00:43:28,000 Speaker 1: at Memorial sloan kettering via technology than someone else to 662 00:43:28,080 --> 00:43:32,400 Speaker 1: find at MD Anderson. But we told them that we 663 00:43:32,440 --> 00:43:37,120 Speaker 1: couldn't fund any of their research unless they shared their data. Now, 664 00:43:37,160 --> 00:43:39,560 Speaker 1: some people told me, well, I have to wait for 665 00:43:39,760 --> 00:43:43,600 Speaker 1: Nature or Sell magazine to come out. The story will 666 00:43:43,640 --> 00:43:46,359 Speaker 1: be out in a year. And we told them that 667 00:43:46,400 --> 00:43:50,759 Speaker 1: their research was so important that they didn't need any 668 00:43:50,760 --> 00:43:54,200 Speaker 1: of our funds. Our funds were only for those who 669 00:43:54,239 --> 00:43:57,760 Speaker 1: were willing to share. And I would say within six months, 670 00:43:58,400 --> 00:44:02,560 Speaker 1: everyone in the world was willing to share. And no 671 00:44:02,600 --> 00:44:06,319 Speaker 1: matter how much we raised in money, I was out 672 00:44:06,360 --> 00:44:11,960 Speaker 1: there first recruiting the best and brightest, and second trying 673 00:44:12,000 --> 00:44:15,640 Speaker 1: to convince people who were thinking of leaving the field 674 00:44:16,760 --> 00:44:19,799 Speaker 1: to stay in the field. And I wrote in the 675 00:44:19,840 --> 00:44:22,520 Speaker 1: book a little bit about an individual who was being 676 00:44:22,640 --> 00:44:27,480 Speaker 1: recruited to make better apples, and I was successful in 677 00:44:27,600 --> 00:44:30,719 Speaker 1: convincing him that we could live and still eat the 678 00:44:30,800 --> 00:44:35,720 Speaker 1: same apples for maybe the next twenty years. But people 679 00:44:35,800 --> 00:44:38,879 Speaker 1: being diagnosed with cancer throughout the world, and the fact 680 00:44:39,000 --> 00:44:43,400 Speaker 1: it was going to be increasing, not decreasing, we couldn't 681 00:44:43,400 --> 00:44:47,800 Speaker 1: wait for solutions and so and then the other element 682 00:44:47,880 --> 00:44:52,120 Speaker 1: I would say to you was government. There is no 683 00:44:52,280 --> 00:44:58,120 Speaker 1: individual there is no foundation my family foundations which were created, 684 00:44:58,800 --> 00:45:02,239 Speaker 1: and today there's with our centers more than ten of them, 685 00:45:03,760 --> 00:45:08,320 Speaker 1: nor Bill Gates and Melinda Gates, the Gates Foundation, plus 686 00:45:08,360 --> 00:45:13,920 Speaker 1: Warren Buffett, which is is my largest foundation today in 687 00:45:13,920 --> 00:45:18,840 Speaker 1: the world. The amount of money they have is small 688 00:45:19,000 --> 00:45:23,799 Speaker 1: relative to the government. So if you can redirect the 689 00:45:23,880 --> 00:45:29,640 Speaker 1: funds of the government, you now have access to hundreds 690 00:45:29,640 --> 00:45:34,040 Speaker 1: of billions of dollars that could be redeployed. And so 691 00:45:34,680 --> 00:45:38,800 Speaker 1: we spent two to three years making the economic argument 692 00:45:40,080 --> 00:45:43,239 Speaker 1: of what the elimination of cancer was. But one of 693 00:45:43,280 --> 00:45:47,200 Speaker 1: the challenges, when you talk about challenges, we are not 694 00:45:47,480 --> 00:45:51,960 Speaker 1: able as a country to increase significantly our investment in 695 00:45:52,000 --> 00:45:56,080 Speaker 1: the National Institutes of Health, the largest medical research group 696 00:45:56,200 --> 00:46:00,239 Speaker 1: in the world. And I discovered in my analysis that 697 00:46:00,320 --> 00:46:04,400 Speaker 1: one of the reasons was there were five hundred different 698 00:46:04,480 --> 00:46:11,400 Speaker 1: diseases constantly appealing for more funds, and so unlike a laser, 699 00:46:12,040 --> 00:46:15,720 Speaker 1: you had all these voices out there, whether it's Parkinson's, 700 00:46:15,800 --> 00:46:20,720 Speaker 1: whether it was Alzheimer's, whether it's diabetes, and there wasn't 701 00:46:20,840 --> 00:46:26,440 Speaker 1: a focused request. And so beginning two years later in 702 00:46:26,560 --> 00:46:30,560 Speaker 1: ninety five, I went to the various disease specific groups 703 00:46:30,560 --> 00:46:36,759 Speaker 1: and said, if you will stand down, we will have 704 00:46:36,800 --> 00:46:42,920 Speaker 1: a combined effort focused on cancer, all cancers, like a laser, 705 00:46:43,239 --> 00:46:47,480 Speaker 1: to double the NIH budget, and we will work on that, 706 00:46:47,600 --> 00:46:51,960 Speaker 1: and when it's doubled, all medical research will double, not 707 00:46:52,120 --> 00:46:56,560 Speaker 1: just cancer. And they agreed, and so we put on 708 00:46:56,760 --> 00:47:01,120 Speaker 1: a March. It took three years and all this data, etc. 709 00:47:01,680 --> 00:47:06,480 Speaker 1: To show and interacted with our political leaders that this 710 00:47:06,560 --> 00:47:09,200 Speaker 1: would be one of the best investments the country could 711 00:47:09,280 --> 00:47:12,560 Speaker 1: make and the leaders in the world in the twenty 712 00:47:12,600 --> 00:47:16,480 Speaker 1: second century will be the leaders and the twenty first 713 00:47:16,520 --> 00:47:22,000 Speaker 1: century in bioscience. And so with the March concluding in 714 00:47:22,080 --> 00:47:25,640 Speaker 1: ninety eight, the President of the United States shortly thereafter 715 00:47:25,840 --> 00:47:31,320 Speaker 1: signed into law what became the doubling of the NIH budget. 716 00:47:32,280 --> 00:47:37,640 Speaker 1: There's been an incremental five hundred billion dollars in basic 717 00:47:37,760 --> 00:47:42,840 Speaker 1: research spent. It laid the groundwork for what we did 718 00:47:42,880 --> 00:47:48,480 Speaker 1: to get a quick solution for COVID nineteen. Every disease 719 00:47:48,719 --> 00:47:55,440 Speaker 1: has benefited from it. The financial commitment was ten million 720 00:47:55,560 --> 00:47:59,800 Speaker 1: dollars in the March. Today there's a five hundred billion 721 00:47:59,800 --> 00:48:06,759 Speaker 1: dollar hour payoffs. So the first efforts of individual philanthropy, 722 00:48:07,400 --> 00:48:12,560 Speaker 1: the efforts of recruiting young scientists, to work in the field, 723 00:48:13,520 --> 00:48:16,239 Speaker 1: which is probably the highest rate of return in any 724 00:48:16,280 --> 00:48:21,440 Speaker 1: philanthropy that I've seen. The cause of teamwork was coupled 725 00:48:21,480 --> 00:48:26,120 Speaker 1: now with the increased benefit of getting the government focused 726 00:48:26,160 --> 00:48:27,200 Speaker 1: on this area well. 727 00:48:27,239 --> 00:48:29,400 Speaker 2: And I want to read out this is on page 728 00:48:30,000 --> 00:48:31,839 Speaker 2: one to eleven of the book where you talk about 729 00:48:31,880 --> 00:48:34,400 Speaker 2: a new type of organization, and you've lay out these 730 00:48:35,440 --> 00:48:38,080 Speaker 2: very clear principles that you're just speaking about right now. So, 731 00:48:38,080 --> 00:48:41,120 Speaker 2: as you said, recruit the best and brightest scientists and physicians, 732 00:48:41,640 --> 00:48:45,840 Speaker 2: focus on the career paths of these young investigators, require 733 00:48:45,880 --> 00:48:50,640 Speaker 2: collaboration in place of competition, build cross sector ties, Identify 734 00:48:50,680 --> 00:48:54,960 Speaker 2: the most promising research not funded by the NIH. Eliminate 735 00:48:55,040 --> 00:49:00,200 Speaker 2: needless bureaucracy. And the list continues. And I mean, you 736 00:49:00,280 --> 00:49:02,520 Speaker 2: make it sound so easy when I'm listening to you 737 00:49:02,600 --> 00:49:04,120 Speaker 2: right now and when you read it like this, But 738 00:49:04,239 --> 00:49:09,319 Speaker 2: I'm imagining that each one of these items took a 739 00:49:09,360 --> 00:49:14,880 Speaker 2: lot of time energy. I mean, you make it sound 740 00:49:14,920 --> 00:49:19,520 Speaker 2: so seamless, But I would love to know how challenging 741 00:49:19,760 --> 00:49:22,960 Speaker 2: is it to galvanize at such a large scale and level. 742 00:49:23,120 --> 00:49:26,880 Speaker 1: So if you were at a Parkinson's Foundation or a 743 00:49:26,920 --> 00:49:33,480 Speaker 1: diabetes foundation and thousands of talented people try to increase funding. 744 00:49:34,760 --> 00:49:36,959 Speaker 1: But it was like there was a zero sum game. 745 00:49:37,520 --> 00:49:40,239 Speaker 1: If I increased funding for diabetes, I had to take 746 00:49:40,239 --> 00:49:44,719 Speaker 1: it away from someone else. And so getting them to 747 00:49:44,880 --> 00:49:49,920 Speaker 1: accept that they were unsuccessful and to stand down and 748 00:49:50,000 --> 00:49:55,560 Speaker 1: have faith. It's somewhat based on past performance in the 749 00:49:55,600 --> 00:49:58,880 Speaker 1: financial investment they want in business, they want to know 750 00:50:00,080 --> 00:50:02,600 Speaker 1: what's your past performance? Do you have a track record? 751 00:50:03,560 --> 00:50:07,880 Speaker 1: So we had a track record of success to build on, 752 00:50:08,239 --> 00:50:11,800 Speaker 1: and we didn't ask them to stand down for their lifetime. 753 00:50:12,480 --> 00:50:14,759 Speaker 1: We just asked them to stand down for a few 754 00:50:14,800 --> 00:50:18,319 Speaker 1: months here so we could focus like a laser our 755 00:50:18,400 --> 00:50:24,440 Speaker 1: attention on this issue. Eliminating cancer is a cause of death. 756 00:50:25,520 --> 00:50:29,080 Speaker 1: And bringing in the leading economists in the world was 757 00:50:29,120 --> 00:50:34,279 Speaker 1: worth fifty trillion dollars to the US economy in the 758 00:50:34,320 --> 00:50:38,719 Speaker 1: early nineteen nineties, multiples of what the economy and so 759 00:50:38,880 --> 00:50:42,440 Speaker 1: we could show the results. And so, yes, you have 760 00:50:42,520 --> 00:50:48,239 Speaker 1: to have a past track record convincing a person not 761 00:50:48,520 --> 00:50:53,400 Speaker 1: to change their career. I remember one of the world's 762 00:50:53,480 --> 00:50:57,600 Speaker 1: leading chemists has been about to be given a job 763 00:50:57,640 --> 00:51:00,959 Speaker 1: as the dean of the most prestigious universe in the world, 764 00:51:01,239 --> 00:51:04,680 Speaker 1: but he would leave the laboratory so I went and 765 00:51:04,719 --> 00:51:10,040 Speaker 1: asked him who's running Warner Brothers. At the time, it 766 00:51:10,080 --> 00:51:13,280 Speaker 1: was two friends of mine, Terry Simmel and Bob Dailey. 767 00:51:14,719 --> 00:51:18,120 Speaker 1: He had no clue who was running. I asked him, 768 00:51:18,200 --> 00:51:21,959 Speaker 1: has he ever heard of Stephen Spielberg? And he says, yes, 769 00:51:22,040 --> 00:51:25,759 Speaker 1: he's heard of Stephen Spielberg. I said, well, if you 770 00:51:25,960 --> 00:51:28,839 Speaker 1: become the Dean, no one will ever hear of you, 771 00:51:29,880 --> 00:51:34,480 Speaker 1: because Steven Spielberg took years to make movies and product 772 00:51:35,120 --> 00:51:40,840 Speaker 1: You're working on breakthroughs here in bioscience that might change 773 00:51:40,880 --> 00:51:45,879 Speaker 1: the world. You becoming a manager of others might never 774 00:51:46,000 --> 00:51:50,160 Speaker 1: change the world. And so luckily he decided to stay that. 775 00:51:50,239 --> 00:51:56,480 Speaker 1: When you think of young scientists, the hundreds or thousands 776 00:51:56,520 --> 00:52:00,520 Speaker 1: that I've dealt with, you graduated in high school, you 777 00:52:00,600 --> 00:52:05,160 Speaker 1: were seventeen or eighteen years old, you're now thirty one 778 00:52:05,280 --> 00:52:09,640 Speaker 1: or thirty two or thirty three years old. You've gone 779 00:52:09,680 --> 00:52:16,040 Speaker 1: to medical school, you got a PhD. You had fellowships, residencies, internships, 780 00:52:17,160 --> 00:52:20,040 Speaker 1: and now you're ready for your own laboratory and there's 781 00:52:20,080 --> 00:52:25,799 Speaker 1: no money. It's very easy to make the decision to 782 00:52:25,920 --> 00:52:30,400 Speaker 1: go into industry family practice and give up your basic research. 783 00:52:31,719 --> 00:52:34,839 Speaker 1: But if we can greet you at that time and 784 00:52:35,000 --> 00:52:39,440 Speaker 1: give you your own laboratory and get the institution to 785 00:52:39,560 --> 00:52:44,920 Speaker 1: match for one hundred thousand dollars a year for three years, 786 00:52:45,719 --> 00:52:50,000 Speaker 1: you've changed the career. And whether it's in our Melanoma 787 00:52:50,080 --> 00:52:54,240 Speaker 1: Research Alliance, or whether it's in our Faster Cures Group 788 00:52:54,320 --> 00:52:58,040 Speaker 1: for All life threatening Diseases, or whether it's in the 789 00:52:58,080 --> 00:53:04,920 Speaker 1: Prostate Cancer Foundation. If we have twenty five young scientists 790 00:53:04,960 --> 00:53:07,760 Speaker 1: and they each are going to work for forty years, 791 00:53:08,480 --> 00:53:12,800 Speaker 1: by funding them at two and a half million dollars 792 00:53:13,400 --> 00:53:17,040 Speaker 1: for the first year and each year, you've bought one 793 00:53:17,640 --> 00:53:21,640 Speaker 1: thousand years of their time. And when I look back 794 00:53:21,719 --> 00:53:25,480 Speaker 1: over the thirty years to all these new therapies that 795 00:53:25,520 --> 00:53:29,640 Speaker 1: have been created, you will find a young scientist, a 796 00:53:29,680 --> 00:53:34,360 Speaker 1: young person there. It's very interesting. At the National Institutes 797 00:53:34,400 --> 00:53:38,200 Speaker 1: of Health, the first age that you get an award 798 00:53:38,320 --> 00:53:42,160 Speaker 1: is forty three. If you look at who's won Nobel 799 00:53:42,239 --> 00:53:47,280 Speaker 1: Prizes and science, most people have won for an idea 800 00:53:47,400 --> 00:53:51,160 Speaker 1: they had when they were within a few years of school. 801 00:53:52,840 --> 00:53:57,480 Speaker 1: James Watson was in his twenties when he put forth 802 00:53:57,520 --> 00:54:04,360 Speaker 1: this idea we have genes, etc. You know so many 803 00:54:04,640 --> 00:54:08,520 Speaker 1: Einstein I think was twenty three, and so the idea 804 00:54:09,360 --> 00:54:12,120 Speaker 1: that you're going to school and you're studying, and you've 805 00:54:12,200 --> 00:54:19,000 Speaker 1: now spent fifteen years after high school and now we're 806 00:54:19,040 --> 00:54:23,160 Speaker 1: going to tell you can wait another twelve years. It's ridiculous. 807 00:54:23,280 --> 00:54:27,840 Speaker 1: And so the system really was not prepared for the 808 00:54:27,920 --> 00:54:31,280 Speaker 1: fact that we needed to get the best and brightest 809 00:54:31,360 --> 00:54:35,560 Speaker 1: and divert their careers younger. And so I have spent 810 00:54:36,800 --> 00:54:40,080 Speaker 1: more than thirty years working on this, the same thing 811 00:54:40,160 --> 00:54:44,279 Speaker 1: we had worked on forty years ago with educators to 812 00:54:44,360 --> 00:54:48,200 Speaker 1: try to get them to stay as an educator. When 813 00:54:48,200 --> 00:54:52,880 Speaker 1: you go to India today, people are so confused today 814 00:54:53,000 --> 00:54:58,160 Speaker 1: that think India is like China. There were twenty three 815 00:54:58,360 --> 00:55:02,960 Speaker 1: or twenty four million in children born last year in India. 816 00:55:04,200 --> 00:55:07,160 Speaker 1: There were nine to ten million born in China, more 817 00:55:07,200 --> 00:55:11,040 Speaker 1: than twice as many children. Today, there are more than 818 00:55:11,160 --> 00:55:16,280 Speaker 1: two hundred million more children in India than in China. 819 00:55:17,400 --> 00:55:22,320 Speaker 1: China is more advanced digitally, but there's very few countries 820 00:55:22,880 --> 00:55:29,359 Speaker 1: where the competition for education you know today is more significant. 821 00:55:29,719 --> 00:55:35,360 Speaker 1: And they also have a belief in healthcare not based 822 00:55:35,400 --> 00:55:43,719 Speaker 1: on modern technology but five thousand years of anecdotal experience. 823 00:55:44,480 --> 00:55:50,000 Speaker 1: So yes, our theory is that your gut have been 824 00:55:50,120 --> 00:55:55,200 Speaker 1: proven to be true with modern sequencing technologies. And this 825 00:55:55,440 --> 00:56:01,520 Speaker 1: year they've just approved giving the microbiom own of one 826 00:56:01,640 --> 00:56:06,480 Speaker 1: person who responded well to treatment to another person that 827 00:56:06,680 --> 00:56:12,240 Speaker 1: didn't respond well, admitting that because they have a different gut, 828 00:56:13,719 --> 00:56:16,440 Speaker 1: they're going to respond well, and how their genes are 829 00:56:16,520 --> 00:56:19,880 Speaker 1: expressed or how the therapy they're given is going to 830 00:56:19,880 --> 00:56:23,960 Speaker 1: be expressed differently. But in India, you had five thousand 831 00:56:24,040 --> 00:56:28,440 Speaker 1: years of experience of if you did this, that happened 832 00:56:29,360 --> 00:56:36,280 Speaker 1: when I went to the Northern Amazon, Northwest Amazon. Here, 833 00:56:36,360 --> 00:56:39,280 Speaker 1: I am dressed head to toe and I wrote about 834 00:56:39,280 --> 00:56:43,759 Speaker 1: it all in black. And our Indian guide has a 835 00:56:43,800 --> 00:56:47,239 Speaker 1: pair of shorts on and that's it. He's immune to everything. 836 00:56:48,400 --> 00:56:51,919 Speaker 1: I'm not immune to anything. And he takes me over 837 00:56:51,960 --> 00:56:55,960 Speaker 1: and he says, well, we use this bush against malaria, 838 00:56:56,040 --> 00:56:59,440 Speaker 1: and we use this for this. And he shows me this, 839 00:56:59,520 --> 00:57:03,200 Speaker 1: and he said, if we ever get separated, you can 840 00:57:03,280 --> 00:57:07,160 Speaker 1: hack this bush and drink the water inside. But then 841 00:57:07,200 --> 00:57:10,000 Speaker 1: he goes and he tells me, but don't drink the 842 00:57:10,040 --> 00:57:12,839 Speaker 1: water in this bush. It could kill you. So they 843 00:57:12,880 --> 00:57:16,600 Speaker 1: both look the same to me, Okay, both of them. 844 00:57:17,080 --> 00:57:19,320 Speaker 1: So I got a rope and we tied it around 845 00:57:19,400 --> 00:57:22,440 Speaker 1: his waist and my ways so we would never be 846 00:57:22,600 --> 00:57:26,160 Speaker 1: separated as we are hacking through the jungle. And so 847 00:57:27,280 --> 00:57:33,440 Speaker 1: I think the world today is adjusting to what have 848 00:57:33,560 --> 00:57:37,720 Speaker 1: we learned over thousands of years that we didn't take 849 00:57:37,800 --> 00:57:43,160 Speaker 1: in consideration. And the environmental movement, the effort here in 850 00:57:43,320 --> 00:57:48,240 Speaker 1: healthy human, healthy planet is totally interrelated. 851 00:57:48,400 --> 00:57:49,040 Speaker 3: Absolutely. 852 00:57:49,440 --> 00:57:54,000 Speaker 2: What have you found as you'll, I guess the things 853 00:57:54,000 --> 00:57:57,160 Speaker 2: that you're most happy about that proved to you. The 854 00:57:57,200 --> 00:57:59,560 Speaker 2: research is going in the right direction. What are you 855 00:57:59,600 --> 00:58:02,720 Speaker 2: pointing towards as successes or solutions. 856 00:58:03,400 --> 00:58:06,120 Speaker 1: Well, let's just took about two that the world has 857 00:58:06,240 --> 00:58:12,520 Speaker 1: full knowledge of HIV AIDS. The number one talk show 858 00:58:12,600 --> 00:58:17,000 Speaker 1: host not the number one healthcare podcast in the world. 859 00:58:17,680 --> 00:58:22,320 Speaker 1: In nineteen eighty seven, Oprah Winfrey goes on television and 860 00:58:22,440 --> 00:58:27,160 Speaker 1: tells the people of America that one in five are 861 00:58:27,240 --> 00:58:31,080 Speaker 1: going to die from AIDS in the next three years. 862 00:58:31,360 --> 00:58:36,080 Speaker 1: That's based on her work. Well, unfortunately, many people died, 863 00:58:37,000 --> 00:58:41,760 Speaker 1: but we didn't have eighty million people die. We had 864 00:58:41,800 --> 00:58:47,440 Speaker 1: tens of thousands. And the cocktails and the anti virals 865 00:58:47,480 --> 00:58:51,320 Speaker 1: that were created. So one of the most popular people 866 00:58:51,320 --> 00:58:56,160 Speaker 1: in the United States, Magic Johnson, announced in nineteen ninety 867 00:58:56,240 --> 00:59:00,880 Speaker 1: one that he was diagnosed with a V and he's 868 00:59:00,920 --> 00:59:03,800 Speaker 1: going to have to retire at his peak of his 869 00:59:03,960 --> 00:59:09,240 Speaker 1: career from the NBA. Most people, including myself, thought he 870 00:59:09,360 --> 00:59:14,600 Speaker 1: might not make it. Today's a friend. He's participated in 871 00:59:14,640 --> 00:59:18,960 Speaker 1: our faster cures effort. He's bigger than life. His smile 872 00:59:19,160 --> 00:59:25,680 Speaker 1: is bigger than life. It's thirty two years later. Where 873 00:59:25,720 --> 00:59:27,760 Speaker 1: do we see it the most? When you say where 874 00:59:27,760 --> 00:59:32,200 Speaker 1: are the results? Look at sub Sahara, Africa. Two thirds 875 00:59:32,240 --> 00:59:36,920 Speaker 1: of everyone with HIV and AIDS lived in sub Sahara, Africa. 876 00:59:37,040 --> 00:59:39,400 Speaker 1: If you wanted to go work there, they wanted you 877 00:59:39,480 --> 00:59:43,520 Speaker 1: to work thirty years ago they paid you compact pay 878 00:59:43,920 --> 00:59:47,640 Speaker 1: out of fear that you could be infected. Well, today, 879 00:59:48,680 --> 00:59:53,760 Speaker 1: the chance of a woman with proper care passing AIDS 880 00:59:53,800 --> 00:59:58,120 Speaker 1: onto her children is two percent, down from ninety five. 881 00:59:58,600 --> 01:00:04,720 Speaker 1: So the population of Subsherra, Africa is growing. Children that 882 01:00:04,840 --> 01:00:09,880 Speaker 1: were orphans are no longer born with HIV. People with 883 01:00:10,160 --> 01:00:14,720 Speaker 1: HIV and AIDS are living today, not dying. And what 884 01:00:14,840 --> 01:00:18,120 Speaker 1: do we just see in the last three years during COVID, 885 01:00:19,840 --> 01:00:22,200 Speaker 1: the leaders in the state that you and I are 886 01:00:22,240 --> 01:00:30,280 Speaker 1: in today California, told Californians that one in two Californians 887 01:00:30,400 --> 01:00:35,400 Speaker 1: are going to get the disease in the next three months, 888 01:00:36,320 --> 01:00:41,120 Speaker 1: and that five million of people in California will have 889 01:00:41,200 --> 01:00:45,320 Speaker 1: to be hospitalized, but there's only a few hundred thousand 890 01:00:45,400 --> 01:00:50,520 Speaker 1: hospital beds. It was a catastrophe. More than a million 891 01:00:50,680 --> 01:00:55,840 Speaker 1: people died in America, more than ten or twenty million worldwide. 892 01:00:56,800 --> 01:01:00,680 Speaker 1: But it wasn't fifty percent of the population, it wasn't 893 01:01:00,760 --> 01:01:05,160 Speaker 1: ten percent of the population. And it was only sixty 894 01:01:05,440 --> 01:01:11,160 Speaker 1: three days between the sequencing of the virus and the 895 01:01:11,160 --> 01:01:17,080 Speaker 1: first human being getting a vaccine. Sixty three days, nine weeks, 896 01:01:17,120 --> 01:01:21,320 Speaker 1: not ten years. And so that is why I wrote 897 01:01:21,320 --> 01:01:25,439 Speaker 1: the book. Okay, I wrote the book because we are 898 01:01:25,520 --> 01:01:31,040 Speaker 1: in the verge of a total revolution, the same as 899 01:01:31,120 --> 01:01:37,240 Speaker 1: I saw in finance in healthcare today with technology, and 900 01:01:37,320 --> 01:01:40,480 Speaker 1: so it's time to put your foot on the accelerator 901 01:01:40,520 --> 01:01:45,360 Speaker 1: and go faster, not time to ease up, because we 902 01:01:45,520 --> 01:01:51,400 Speaker 1: think we have put into suspended animation this pandemic. And 903 01:01:51,480 --> 01:01:56,080 Speaker 1: so that was my concerning There were these points of 904 01:01:56,120 --> 01:01:59,640 Speaker 1: the March and ninety eight. There was this point of 905 01:01:59,680 --> 01:02:03,840 Speaker 1: the set libration of science in twenty twelve, and there's 906 01:02:03,880 --> 01:02:08,479 Speaker 1: a point here today that people don't have to die. 907 01:02:08,600 --> 01:02:12,720 Speaker 1: For the first time in history. We have a good 908 01:02:12,840 --> 01:02:17,920 Speaker 1: chance to cure your disease in your own lifetime if 909 01:02:17,960 --> 01:02:18,800 Speaker 1: we stay with it. 910 01:02:19,640 --> 01:02:22,920 Speaker 2: How can me and my community support these efforts? How 911 01:02:22,960 --> 01:02:25,240 Speaker 2: can people be involved? How can people be engaged if 912 01:02:25,280 --> 01:02:28,439 Speaker 2: they feel inspired by what you're doing and the work 913 01:02:28,440 --> 01:02:30,560 Speaker 2: that you're leading on, how can they get involved? Because 914 01:02:30,600 --> 01:02:33,840 Speaker 2: I think that's often you know, what you're sharing is 915 01:02:33,880 --> 01:02:38,280 Speaker 2: a healthier future, which I think we all want. But 916 01:02:38,400 --> 01:02:42,880 Speaker 2: naturally we often people get discouraged because of headlines and 917 01:02:43,200 --> 01:02:44,960 Speaker 2: news and everything that we see around us. 918 01:02:45,040 --> 01:02:47,880 Speaker 1: There's a lot of things or things aren't true that 919 01:02:48,000 --> 01:02:52,440 Speaker 1: are in the headlines. So just the concept of healthy human, 920 01:02:53,400 --> 01:02:58,880 Speaker 1: healthy planet. Such a large percent of the earth today 921 01:03:00,640 --> 01:03:07,840 Speaker 1: is devoted to raising animals seventy to eighty billion animals 922 01:03:07,880 --> 01:03:12,360 Speaker 1: for humans to eat, and that doesn't count the billions 923 01:03:13,040 --> 01:03:18,200 Speaker 1: of fish. We are on the verge of essentially being 924 01:03:18,240 --> 01:03:21,680 Speaker 1: able to create a hamburger without a calf, without a cow. 925 01:03:22,600 --> 01:03:26,440 Speaker 1: Now for a person in India who doesn't eat a hamburger, 926 01:03:26,520 --> 01:03:30,120 Speaker 1: doesn't make any difference, okay, But if we can grow 927 01:03:30,200 --> 01:03:33,520 Speaker 1: it in a laboratory and just give it light and 928 01:03:33,720 --> 01:03:37,600 Speaker 1: energy and nutrients, we don't have to go through the 929 01:03:37,640 --> 01:03:43,000 Speaker 1: whole process of all the water required, all the land 930 01:03:43,160 --> 01:03:48,800 Speaker 1: required to grow physical animals. So yes, we can grow 931 01:03:48,840 --> 01:03:52,640 Speaker 1: food in a laboratory. And now it has just been 932 01:03:52,680 --> 01:03:56,760 Speaker 1: approved to allow this to occur. We needed to get 933 01:03:56,800 --> 01:04:00,400 Speaker 1: the cost down. It used to be thirty thousand ounce, 934 01:04:00,480 --> 01:04:02,880 Speaker 1: then it went to three. Now it's a few hundred. 935 01:04:03,400 --> 01:04:07,080 Speaker 1: But it's only a matter of time where we can 936 01:04:07,160 --> 01:04:11,600 Speaker 1: have a substantial change in the planet. A friend of 937 01:04:11,600 --> 01:04:14,360 Speaker 1: mine put up the money to do a book called 938 01:04:14,480 --> 01:04:20,720 Speaker 1: draw Down, and draw Down listed the twenty major factors 939 01:04:21,800 --> 01:04:25,320 Speaker 1: that were changing our atmosphere and the environment the earth 940 01:04:25,440 --> 01:04:30,120 Speaker 1: is in. Ten of them relate to food, ten of 941 01:04:30,160 --> 01:04:34,760 Speaker 1: them relate to other things. And so we have a chance. 942 01:04:35,640 --> 01:04:42,040 Speaker 1: And the environmental movement, combined with the health movement, science 943 01:04:42,160 --> 01:04:46,400 Speaker 1: today can show you what happened. So we know today 944 01:04:47,200 --> 01:04:50,200 Speaker 1: that what were all these vegetables on the planet for? 945 01:04:50,400 --> 01:04:55,400 Speaker 1: If you believe in Darwin, what's the purpose of broccoli, califlower, 946 01:04:55,560 --> 01:04:59,320 Speaker 1: Brussels flouts? These things are little pac man, they're out 947 01:04:59,360 --> 01:05:05,640 Speaker 1: there eating. Okay, car synogens in your body. We've learned 948 01:05:05,720 --> 01:05:11,160 Speaker 1: today that your immune system can do amazing things. And 949 01:05:11,200 --> 01:05:14,720 Speaker 1: I wrote about it when I first heard Jim Allison 950 01:05:14,800 --> 01:05:20,240 Speaker 1: talk in nineteen ninety seven that your immune system is 951 01:05:20,320 --> 01:05:24,680 Speaker 1: smarter than all the scientists in the room, but someone 952 01:05:24,840 --> 01:05:28,520 Speaker 1: turned off your immune system and that's why you got 953 01:05:28,520 --> 01:05:33,640 Speaker 1: a life threatening disease. Okay, and that occurred, and so 954 01:05:33,960 --> 01:05:37,640 Speaker 1: he developed and won a Nobel Prize for the concept 955 01:05:38,000 --> 01:05:44,320 Speaker 1: of checkpoint inhibitors, and we financed his work for ten years. 956 01:05:44,400 --> 01:05:48,360 Speaker 1: In prostate cancer. It wasn't that effective, but the minute 957 01:05:48,400 --> 01:05:52,520 Speaker 1: we moved to melanoma, the death rate has dropped by 958 01:05:52,600 --> 01:05:57,320 Speaker 1: fifty percent. And so what he did is we turned 959 01:05:57,360 --> 01:06:00,200 Speaker 1: off the switch and the cancer that turned off your 960 01:06:00,200 --> 01:06:06,919 Speaker 1: immune system. The idea of growing your own organs. There 961 01:06:06,960 --> 01:06:11,840 Speaker 1: are now people that have had organ transplants from others 962 01:06:12,360 --> 01:06:17,320 Speaker 1: take these drugs to prevent rejection by their own immune system. 963 01:06:17,960 --> 01:06:21,280 Speaker 1: Well at Mass General in Boston other things there looks 964 01:06:21,360 --> 01:06:26,000 Speaker 1: like there's now a technology that you can input to 965 01:06:26,040 --> 01:06:29,760 Speaker 1: a certain degree the immune system of the person that 966 01:06:30,040 --> 01:06:33,640 Speaker 1: donates your organ to you, so you'll have two immune systems. 967 01:06:34,160 --> 01:06:37,720 Speaker 1: So when you get that organ, you don't need rejection. 968 01:06:38,400 --> 01:06:42,800 Speaker 1: Your immune systems will be operating. So technology is just 969 01:06:42,960 --> 01:06:47,840 Speaker 1: moving non evasive surgery. When I watch star trek as 970 01:06:47,880 --> 01:06:53,160 Speaker 1: a kid. The doctor bones. He didn't do any evasive surgery, 971 01:06:53,240 --> 01:06:55,920 Speaker 1: put a little thing on your body and it did everything. Well, 972 01:06:56,040 --> 01:07:00,760 Speaker 1: that's what non invasive focus ultrasound can do. So the promise, 973 01:07:02,040 --> 01:07:07,920 Speaker 1: the promise is with us today and so we're just 974 01:07:08,000 --> 01:07:12,000 Speaker 1: trying to get a mission here, going to make sure 975 01:07:12,080 --> 01:07:17,680 Speaker 1: we stay with our efforts that the world mobilized. When 976 01:07:17,720 --> 01:07:23,680 Speaker 1: you look at what happened and the months of COVID one, 977 01:07:23,840 --> 01:07:27,520 Speaker 1: I came back and told everyone at every one of 978 01:07:27,560 --> 01:07:31,000 Speaker 1: our centers that we will all be judged by what 979 01:07:31,040 --> 01:07:35,080 Speaker 1: we did during this period of time. I'm not a 980 01:07:35,560 --> 01:07:39,560 Speaker 1: didn't want to compete with you, but we launched podcasts 981 01:07:39,680 --> 01:07:42,560 Speaker 1: one hundred and twenty five of them. And the reason 982 01:07:42,680 --> 01:07:47,680 Speaker 1: I launched them was threefold. One, if I'm talking to 983 01:07:47,720 --> 01:07:51,160 Speaker 1: Francis Collins ahead of the NIH, I want you or 984 01:07:51,200 --> 01:07:55,160 Speaker 1: anyone else to hear what he's saying. Anyone in the 985 01:07:55,160 --> 01:07:58,680 Speaker 1: world could listen. I might be able to talk to 986 01:07:58,720 --> 01:08:03,400 Speaker 1: the CEO of of Alex Gorski Jay and Jay. Most 987 01:08:03,440 --> 01:08:06,760 Speaker 1: of people couldn't, but you can listen to the conversation. Two, 988 01:08:07,400 --> 01:08:11,920 Speaker 1: by talking to him, I can encourage them maybe to 989 01:08:12,000 --> 01:08:14,720 Speaker 1: take action they wouldn't have taken. So when I first 990 01:08:14,800 --> 01:08:18,720 Speaker 1: spoke to Alex Gorski in April on this podcast, he 991 01:08:18,880 --> 01:08:24,120 Speaker 1: was talking about maybe going into clinical trials in January 992 01:08:24,200 --> 01:08:28,080 Speaker 1: of twenty one, and so my comment was why not July, 993 01:08:29,880 --> 01:08:33,760 Speaker 1: which he ended up doing and it was approved by January. 994 01:08:34,960 --> 01:08:38,360 Speaker 1: And so the third effort was to see how people 995 01:08:38,400 --> 01:08:42,640 Speaker 1: were coping. So, if I talked to the largest employers 996 01:08:42,640 --> 01:08:45,559 Speaker 1: in the world who had employees over the world, what 997 01:08:45,600 --> 01:08:49,320 Speaker 1: were they doing in China, Italy, et cetera that you 998 01:08:49,439 --> 01:08:52,760 Speaker 1: might be doing in the United States if you were 999 01:08:52,760 --> 01:08:57,200 Speaker 1: responsible for thousands or tens of thousands, or in the 1000 01:08:57,240 --> 01:09:00,840 Speaker 1: case of a Walmart, millions employees, are you going to 1001 01:09:00,880 --> 01:09:04,440 Speaker 1: be doing? And when I spoke to the CEO of Target, 1002 01:09:04,920 --> 01:09:09,160 Speaker 1: he told me that he was protecting their employees. But 1003 01:09:09,280 --> 01:09:13,280 Speaker 1: what happened was when people who lived in small living 1004 01:09:13,439 --> 01:09:18,040 Speaker 1: units apartments came into the store with their kids. The 1005 01:09:18,120 --> 01:09:21,760 Speaker 1: kids were running all over the store. And so how 1006 01:09:21,760 --> 01:09:24,000 Speaker 1: you're going to protect the kids and how you're going 1007 01:09:24,040 --> 01:09:28,479 Speaker 1: to protect your workers, And so this had had to 1008 01:09:28,520 --> 01:09:32,040 Speaker 1: be done in a short period of time. Today, I'm 1009 01:09:32,080 --> 01:09:36,080 Speaker 1: no longer doing podcasts. I'm deferring to you how the world. 1010 01:09:36,920 --> 01:09:41,839 Speaker 1: But for me I meditated. It made a big difference, 1011 01:09:41,960 --> 01:09:45,759 Speaker 1: I think in my outcome. I went to the leaders 1012 01:09:46,120 --> 01:09:50,000 Speaker 1: in immunology in the world, and I discovered the smell 1013 01:09:50,120 --> 01:09:54,320 Speaker 1: of the seashore and the smell of certain kind of 1014 01:09:54,360 --> 01:09:59,839 Speaker 1: trees Sequoia cedar trees seemed to energize my immune system. 1015 01:10:00,439 --> 01:10:05,080 Speaker 1: And so when we think of the senses, smell, taste, touch, 1016 01:10:05,960 --> 01:10:10,479 Speaker 1: all of these come into play in rejuvenating your body. 1017 01:10:10,680 --> 01:10:14,960 Speaker 1: So I used to sit at high tide and smell 1018 01:10:15,040 --> 01:10:20,240 Speaker 1: the seashore. Why why did that energize my immune system? 1019 01:10:20,320 --> 01:10:23,559 Speaker 1: I have no idea except we came out of the sea. 1020 01:10:23,760 --> 01:10:27,360 Speaker 1: So maybe that was returning to the sea and the 1021 01:10:27,400 --> 01:10:32,160 Speaker 1: smell of the pine needles and things like that. Maybe 1022 01:10:32,200 --> 01:10:35,639 Speaker 1: it was relating when I was young with my father. 1023 01:10:35,800 --> 01:10:40,200 Speaker 1: So I don't know, but my view was we don't 1024 01:10:40,320 --> 01:10:45,320 Speaker 1: use all of our senses and we understand. One of 1025 01:10:45,360 --> 01:10:50,400 Speaker 1: the things that Iravador brought me was understanding of so 1026 01:10:50,560 --> 01:10:55,960 Speaker 1: many different elements of touch. So I had a chance 1027 01:10:56,040 --> 01:10:58,559 Speaker 1: to see things that I never thought I would see 1028 01:10:58,600 --> 01:11:03,719 Speaker 1: in my life. I visited a man in China, ge doctor, 1029 01:11:04,160 --> 01:11:06,479 Speaker 1: who was over ninety years old, and he told me 1030 01:11:06,520 --> 01:11:10,280 Speaker 1: if he came out of the mountains, he would die. 1031 01:11:10,479 --> 01:11:14,080 Speaker 1: But when he put his hands on me, he could 1032 01:11:14,160 --> 01:11:18,280 Speaker 1: create such unbelievable heat. How did he do that? I 1033 01:11:18,400 --> 01:11:22,880 Speaker 1: have no idea, okay, but it gave you a chance 1034 01:11:22,960 --> 01:11:27,120 Speaker 1: to experiencing different things. And just like the two young 1035 01:11:27,200 --> 01:11:32,400 Speaker 1: men from Australia who challenged conventional wisdom, and the first 1036 01:11:32,479 --> 01:11:36,760 Speaker 1: reaction was they didn't even go to a good university, 1037 01:11:37,040 --> 01:11:41,360 Speaker 1: why should we be listening to them? And then a 1038 01:11:41,400 --> 01:11:46,120 Speaker 1: few years later everybody accepts it. And so I've found 1039 01:11:46,120 --> 01:11:50,160 Speaker 1: these similarities in my life, whether it was in finance, 1040 01:11:51,080 --> 01:11:55,640 Speaker 1: whether it was in public health, whether it's in medical research. 1041 01:11:57,240 --> 01:12:00,920 Speaker 1: But it all comes back to the people on your team. 1042 01:12:02,360 --> 01:12:06,200 Speaker 1: So when I was in India, if India is playing 1043 01:12:06,400 --> 01:12:11,880 Speaker 1: Pakistan in cricket, nothing else is going on, Okay, they 1044 01:12:11,920 --> 01:12:14,720 Speaker 1: could be arguing and fighting about anything, but you have 1045 01:12:14,800 --> 01:12:19,599 Speaker 1: to take time out for that game. And so there 1046 01:12:19,600 --> 01:12:25,320 Speaker 1: are things that focus your attention. And part of this 1047 01:12:25,479 --> 01:12:30,120 Speaker 1: effort is this concept of healthy human, healthy planet. Yes, 1048 01:12:31,040 --> 01:12:36,160 Speaker 1: technology has solved so many problems for us, but I 1049 01:12:36,200 --> 01:12:40,000 Speaker 1: think what I've tried to do, particularly in the last 1050 01:12:40,040 --> 01:12:46,120 Speaker 1: thirty years, I've gone from an extremely unhealthy diet okay, 1051 01:12:46,520 --> 01:12:51,320 Speaker 1: to an extreme for the first nine years, I got 1052 01:12:51,479 --> 01:12:57,720 Speaker 1: my ire Veta massages twice a week for nine years, 1053 01:12:57,760 --> 01:13:00,560 Speaker 1: and so I was willing to do things that I 1054 01:13:00,600 --> 01:13:06,679 Speaker 1: would have scoffed at in the nineteen seventies, sixties, eighties 1055 01:13:06,800 --> 01:13:11,640 Speaker 1: is way out there, okay, But today I'm visiting with 1056 01:13:11,720 --> 01:13:15,000 Speaker 1: you today, I'm the happiest guy to do a podcast 1057 01:13:15,040 --> 01:13:23,839 Speaker 1: with you thirty years later because I changed, the world changed, 1058 01:13:25,840 --> 01:13:30,160 Speaker 1: and going forward, we're going to have to make more changes, 1059 01:13:30,280 --> 01:13:35,679 Speaker 1: more adoption of things. It's very hard. It's very hard. 1060 01:13:35,720 --> 01:13:39,240 Speaker 1: In the United States today, we now have this quote 1061 01:13:39,560 --> 01:13:46,479 Speaker 1: diabetes pilled that apparently controls your appetite and your weight. Okay, 1062 01:13:46,600 --> 01:13:51,360 Speaker 1: so so it's a lot easier than having personal discipline. 1063 01:13:51,439 --> 01:13:57,800 Speaker 1: For me. I ate more hot dogs, I believe than 1064 01:13:57,840 --> 01:14:01,719 Speaker 1: anyone except those people that win the Nathan's hot Dog 1065 01:14:01,880 --> 01:14:05,839 Speaker 1: eating contest. And how we can eat fifty to sixty 1066 01:14:05,960 --> 01:14:08,599 Speaker 1: hot dogs and buns in that short period of time, 1067 01:14:08,680 --> 01:14:13,960 Speaker 1: I have no idea, but no hot dog was worth 1068 01:14:14,280 --> 01:14:20,200 Speaker 1: your life. But not everyone. And when I found most 1069 01:14:20,280 --> 01:14:22,720 Speaker 1: people don't want to be lectured on their diet or 1070 01:14:22,720 --> 01:14:26,280 Speaker 1: what they should eat or not eat. And when you 1071 01:14:26,439 --> 01:14:30,240 Speaker 1: discover things like a Nobel Prize, when they're Elizabeth Blackburn 1072 01:14:30,320 --> 01:14:34,639 Speaker 1: about what sugar does to you. So what happened when 1073 01:14:34,760 --> 01:14:38,280 Speaker 1: Mexico put a tax on sugar or Chili put a 1074 01:14:38,400 --> 01:14:44,320 Speaker 1: tax on they increased their advertising as sales fell off, 1075 01:14:44,479 --> 01:14:51,120 Speaker 1: and the same thing occurs. Unfortunately, the developing world is 1076 01:14:51,160 --> 01:14:56,280 Speaker 1: subject to this advertisement and these addicted foods and drugs 1077 01:14:56,439 --> 01:15:00,800 Speaker 1: as they move around the world. In China, literally no 1078 01:15:00,840 --> 01:15:04,000 Speaker 1: one had diabetes forty years ago. You didn't even study 1079 01:15:04,040 --> 01:15:07,439 Speaker 1: it in school. And now people in China have the 1080 01:15:07,520 --> 01:15:10,519 Speaker 1: most number of people with diabetes in the world. 1081 01:15:10,840 --> 01:15:16,320 Speaker 2: And there's no way of regulating that at a government level, 1082 01:15:16,439 --> 01:15:18,960 Speaker 2: or there's no way because I feel I agree with you, 1083 01:15:19,000 --> 01:15:22,160 Speaker 2: I mean, you know, I think that we're all now 1084 01:15:22,200 --> 01:15:24,559 Speaker 2: becoming more and more aware of the amount of sugar 1085 01:15:24,640 --> 01:15:29,160 Speaker 2: in sugary drinks, the amount of you know, unhealthy fats 1086 01:15:29,160 --> 01:15:31,559 Speaker 2: and carbohydrates, the amount of you know, whatever it may be, 1087 01:15:31,760 --> 01:15:35,720 Speaker 2: or the amount of artificial even in a speaking of 1088 01:15:35,760 --> 01:15:39,280 Speaker 2: plant based foods, even the current like plant based you 1089 01:15:39,320 --> 01:15:42,760 Speaker 2: know foods, they're not all healthy either. So is there 1090 01:15:42,840 --> 01:15:45,920 Speaker 2: no way to make sure that at a higher level 1091 01:15:45,920 --> 01:15:48,439 Speaker 2: that we don't even get access to this or is 1092 01:15:48,479 --> 01:15:49,879 Speaker 2: it just a discipline conversation. 1093 01:15:50,000 --> 01:15:53,920 Speaker 1: No, I think we will be there. The idea that 1094 01:15:54,000 --> 01:15:57,120 Speaker 1: you can take a calf, a sell from a calf, 1095 01:15:58,120 --> 01:16:01,240 Speaker 1: not a calf, but a cell. If we can find 1096 01:16:01,400 --> 01:16:05,559 Speaker 1: an animal that never was shot with hormones. More than 1097 01:16:05,600 --> 01:16:08,760 Speaker 1: fifty percent of all the drugs are shot into animals. 1098 01:16:08,800 --> 01:16:12,880 Speaker 1: So you might think that you're healthy and you're not 1099 01:16:12,960 --> 01:16:17,720 Speaker 1: taking things, but what you ate did and so. But 1100 01:16:18,439 --> 01:16:21,280 Speaker 1: I think we'll have an entirely new food chain in 1101 01:16:21,320 --> 01:16:25,240 Speaker 1: twenty to thirty years. If you look at companies, the 1102 01:16:25,320 --> 01:16:29,040 Speaker 1: market has adjusted, and I wrote about it in the book. 1103 01:16:29,680 --> 01:16:35,760 Speaker 1: So at one time Craft was selling between ninety and 1104 01:16:35,760 --> 01:16:38,760 Speaker 1: one hundred dollars. This year, I don't know where it 1105 01:16:38,840 --> 01:16:43,679 Speaker 1: is today, call it thirty five to forty wow. Nesley 1106 01:16:45,640 --> 01:16:48,240 Speaker 1: announced that they were going to become a health company. 1107 01:16:49,360 --> 01:16:53,760 Speaker 1: What was the market reaction? Social media reaction. First they 1108 01:16:53,800 --> 01:16:57,479 Speaker 1: give you diabetes, then they're going to deal with it. 1109 01:16:57,920 --> 01:17:01,120 Speaker 1: There are three sixty they create their own problems, etc. 1110 01:17:01,600 --> 01:17:05,840 Speaker 1: So Nesley went out and hired a CEO, not from 1111 01:17:05,840 --> 01:17:09,559 Speaker 1: the consumer packaging, but a CEO who had worked in healthcare, 1112 01:17:10,240 --> 01:17:13,479 Speaker 1: and they sold their candy business in the United States, 1113 01:17:14,320 --> 01:17:21,599 Speaker 1: They sold other businesses and they focused here on healthy businesses, etc. 1114 01:17:21,960 --> 01:17:26,200 Speaker 1: And Nestley has flourished, so the market is willing to 1115 01:17:26,320 --> 01:17:31,040 Speaker 1: pay more for that. And yes, the first iterations of 1116 01:17:31,200 --> 01:17:34,439 Speaker 1: plant based diet to make a taste, we don't know 1117 01:17:34,520 --> 01:17:38,040 Speaker 1: if they're any better with all the ingredients they put in, 1118 01:17:38,880 --> 01:17:45,080 Speaker 1: but the ability to grow the same as your ability. Today. 1119 01:17:45,280 --> 01:17:49,519 Speaker 1: We can take your skin stem cell, turn it back 1120 01:17:49,680 --> 01:17:52,880 Speaker 1: to the day you were born and tell it it's 1121 01:17:53,000 --> 01:17:58,479 Speaker 1: now a heart stem cell, it's you, and then give 1122 01:17:58,520 --> 01:18:05,519 Speaker 1: it energy, light, energy, nutrients, and you can see today 1123 01:18:05,640 --> 01:18:09,479 Speaker 1: in a little peatrie dish, these cells beating like they're 1124 01:18:09,520 --> 01:18:15,719 Speaker 1: a heart. And so we'll be able to create pure 1125 01:18:16,920 --> 01:18:22,680 Speaker 1: foods not contaminate the planet in the future. And so 1126 01:18:23,040 --> 01:18:27,360 Speaker 1: this is what technologies promise is and that once again, 1127 01:18:27,360 --> 01:18:31,960 Speaker 1: that's why I wrote the book. You're busy, I'm busy. 1128 01:18:32,000 --> 01:18:35,160 Speaker 1: It's not easy to write the book. You've just finished 1129 01:18:35,160 --> 01:18:37,920 Speaker 1: a tour of more than forty cities in the world 1130 01:18:38,360 --> 01:18:41,519 Speaker 1: on your new book, and so it's not easy to 1131 01:18:41,600 --> 01:18:44,439 Speaker 1: take the time. The analogy I have made is there 1132 01:18:44,520 --> 01:18:47,720 Speaker 1: was this show in the United States called I Love 1133 01:18:47,840 --> 01:18:52,880 Speaker 1: Lucy and Lucille Ball was packaging chocolates that coming down 1134 01:18:52,920 --> 01:18:56,479 Speaker 1: the line, and they were coming down faster than she 1135 01:18:56,520 --> 01:18:59,160 Speaker 1: could pack them, So she's putting them here, she's putting 1136 01:18:59,160 --> 01:19:00,880 Speaker 1: them in her mouth. Everything. What are you going to 1137 01:19:00,960 --> 01:19:04,640 Speaker 1: do so my life? In your life? There's plenty of 1138 01:19:04,680 --> 01:19:11,479 Speaker 1: things we're focused on. I've probably given fifty speeches in 1139 01:19:11,520 --> 01:19:16,760 Speaker 1: the last month, but to set the time down was 1140 01:19:16,880 --> 01:19:21,800 Speaker 1: my concern here that we have a chance. Technology has 1141 01:19:21,880 --> 01:19:25,840 Speaker 1: given us a chance for the solution for all these 1142 01:19:25,880 --> 01:19:32,240 Speaker 1: life threatening diseases. We estimate there's ten thousand life threatening 1143 01:19:32,320 --> 01:19:37,040 Speaker 1: diseases that faster Our Center for Faster Cures has looked at, 1144 01:19:37,720 --> 01:19:41,320 Speaker 1: and there's solutions for five hundred. So there's a lot 1145 01:19:41,439 --> 01:19:45,719 Speaker 1: of work to do, and we are on the verge 1146 01:19:46,360 --> 01:19:50,599 Speaker 1: with the use of technology having the ability to do this. 1147 01:19:51,160 --> 01:19:51,760 Speaker 3: Thank you, Mike. 1148 01:19:51,800 --> 01:19:54,880 Speaker 2: Everyone has been listening and watching. The book is called 1149 01:19:54,960 --> 01:19:58,240 Speaker 2: Faster Cures, Accelerating the Future of Health. Grab a copy 1150 01:19:58,760 --> 01:20:01,640 Speaker 2: right now if you're listening, and I hope that this 1151 01:20:01,760 --> 01:20:03,559 Speaker 2: is one of those episodes that you'll share with a 1152 01:20:03,560 --> 01:20:06,519 Speaker 2: family member, a friend of yours that may really want 1153 01:20:06,560 --> 01:20:08,880 Speaker 2: to listen to it. And I want you to share 1154 01:20:09,360 --> 01:20:13,200 Speaker 2: your insights on social media, whether you're on Twitter, Instagram, TikTok, 1155 01:20:13,560 --> 01:20:16,880 Speaker 2: share the clips, share the messages share the insights of 1156 01:20:16,920 --> 01:20:20,720 Speaker 2: wisdom that might share with us today with your communities 1157 01:20:20,760 --> 01:20:24,280 Speaker 2: as well, because I think this conversation on improving our 1158 01:20:24,280 --> 01:20:27,320 Speaker 2: own personal health is so needed, especially looking at how 1159 01:20:27,320 --> 01:20:30,439 Speaker 2: the world is trying to find new innovative ways to 1160 01:20:30,479 --> 01:20:33,120 Speaker 2: help us deal with it. Mike, we end every On 1161 01:20:33,200 --> 01:20:36,400 Speaker 2: Purpose episode with a final five. These questions have to 1162 01:20:36,479 --> 01:20:39,840 Speaker 2: be answered in one word to one sentence maximum for 1163 01:20:39,920 --> 01:20:43,559 Speaker 2: each question, and so Michael Milkham, these are your final five. 1164 01:20:43,600 --> 01:20:46,360 Speaker 2: The first question is what is the best advice you've 1165 01:20:46,400 --> 01:20:47,200 Speaker 2: ever received? 1166 01:20:47,880 --> 01:20:49,280 Speaker 1: Do the research? 1167 01:20:49,800 --> 01:20:52,320 Speaker 2: Nice, great Answer've never had that before. Second question is 1168 01:20:52,439 --> 01:20:55,000 Speaker 2: what is the worst advice you've ever heard or received? 1169 01:20:55,600 --> 01:20:57,360 Speaker 1: You'll learn it from the newspaper. 1170 01:21:00,240 --> 01:21:02,280 Speaker 2: Three, what do you do first thing in the morning 1171 01:21:02,360 --> 01:21:04,000 Speaker 2: and the last thing before you go to bed? 1172 01:21:04,560 --> 01:21:08,240 Speaker 1: I say hello to my wife and good morning, and 1173 01:21:08,280 --> 01:21:11,120 Speaker 1: I give her a kiss before we go to bed 1174 01:21:11,160 --> 01:21:14,080 Speaker 1: at night. We've known each other sixty five years, we've 1175 01:21:14,080 --> 01:21:17,120 Speaker 1: been married for fifty five years, and so that's what 1176 01:21:17,240 --> 01:21:19,439 Speaker 1: I do first thing in the morning and last thing. 1177 01:21:19,840 --> 01:21:23,120 Speaker 2: That's beautiful question numberfore about that? What would be your 1178 01:21:23,560 --> 01:21:27,679 Speaker 2: number one lesson from the sixty five years you've been together? 1179 01:21:27,720 --> 01:21:29,120 Speaker 2: If you had to say there was one thing that 1180 01:21:29,200 --> 01:21:32,599 Speaker 2: has been the most powerful lesson you've learned in love? 1181 01:21:32,640 --> 01:21:33,519 Speaker 3: What would that be. 1182 01:21:33,880 --> 01:21:36,360 Speaker 1: See the world through someone else's eyes? 1183 01:21:37,400 --> 01:21:39,599 Speaker 3: Great advice, Great advice. I love that. 1184 01:21:40,479 --> 01:21:43,719 Speaker 2: Fifth and final question, If you could create one law 1185 01:21:43,960 --> 01:21:47,040 Speaker 2: in the world that everyone had to follow, what would 1186 01:21:47,080 --> 01:21:47,360 Speaker 2: it be. 1187 01:21:48,040 --> 01:21:50,559 Speaker 1: Treat others as you would like to be treated. 1188 01:21:50,720 --> 01:21:53,320 Speaker 2: Beautiful Mike Milk and everyone, thank you so much for 1189 01:21:53,439 --> 01:21:56,439 Speaker 2: listening to om purpose. I hope that you enjoyed this episode. 1190 01:21:56,479 --> 01:21:58,760 Speaker 2: I hope you'll share it, and I'll hope you'll join 1191 01:21:58,880 --> 01:22:01,280 Speaker 2: us for the next one. Thank you so much, Mike, 1192 01:22:01,320 --> 01:22:03,040 Speaker 2: thank you so much for being sure to see you 1193 01:22:03,439 --> 01:22:07,000 Speaker 2: generous and insightful today. It's been a joy talking to you. Likewise, 1194 01:22:07,120 --> 01:22:10,040 Speaker 2: thank you so much. If you love this episode, you'll 1195 01:22:10,120 --> 01:22:13,320 Speaker 2: enjoy my interview with doctor Daniel Ahman on how to 1196 01:22:13,400 --> 01:22:15,559 Speaker 2: change your life by changing your brain. 1197 01:22:15,960 --> 01:22:20,920 Speaker 4: If we want a healthy mind, it actually starts with 1198 01:22:21,000 --> 01:22:21,800 Speaker 4: a healthy brain. 1199 01:22:22,000 --> 01:22:22,200 Speaker 1: You know. 1200 01:22:22,240 --> 01:22:26,240 Speaker 4: I've had the blessing or the curse to scan over 1201 01:22:26,320 --> 01:22:30,760 Speaker 4: a thousand convicted felons and over one hundred murderers, and 1202 01:22:30,840 --> 01:22:31,400 Speaker 4: their brains 1203 01:22:31,400 --> 01:22:32,680 Speaker 3: Are very damaged.