1 00:00:03,320 --> 00:00:05,600 Speaker 1: Dan doctor Off is a former Deputy Mayor of New 2 00:00:05,680 --> 00:00:08,520 Speaker 1: York City and a former CEO of Bloomberg. I came 3 00:00:08,560 --> 00:00:10,680 Speaker 1: to know Dan reasonably well a few years ago when 4 00:00:10,680 --> 00:00:13,040 Speaker 1: he created Target a l S, which was designed to 5 00:00:13,119 --> 00:00:15,960 Speaker 1: raise funding to help cure A l S, a disease 6 00:00:16,000 --> 00:00:19,919 Speaker 1: which killed his father and his uncle. Recently, sadly, Dan 7 00:00:20,040 --> 00:00:22,919 Speaker 1: was also diagnosed with a l S. I sat down 8 00:00:22,920 --> 00:00:26,279 Speaker 1: with Dan at Bloomberg recently and talked about his life, philanthropy, 9 00:00:26,560 --> 00:00:28,800 Speaker 1: and his desire to now do what he can help 10 00:00:28,880 --> 00:00:31,880 Speaker 1: cure a l S. Dan recently, about a year ago, 11 00:00:32,000 --> 00:00:34,519 Speaker 1: you were diagnosed with a l S, which is a 12 00:00:34,640 --> 00:00:38,320 Speaker 1: very sad tragic disease. What was your reaction when you 13 00:00:38,360 --> 00:00:42,920 Speaker 1: heard about this. Well, I was actually shocked, despite the 14 00:00:42,960 --> 00:00:46,520 Speaker 1: fact that my father and uncle died of the disease, 15 00:00:47,440 --> 00:00:51,880 Speaker 1: and I didn't expect it at all. Um. I really 16 00:00:51,960 --> 00:00:56,680 Speaker 1: hadn't felt many symptoms. Um. But I went away on 17 00:00:56,720 --> 00:01:00,560 Speaker 1: a trip to Iceland with my wife, and I had 18 00:01:00,640 --> 00:01:05,960 Speaker 1: breathing problems and I couldn't climb rocks. I got exhausted 19 00:01:06,080 --> 00:01:08,840 Speaker 1: climbing hills, which is really weird because I was in 20 00:01:08,920 --> 00:01:11,640 Speaker 1: pretty good shape, and so I decided to go see 21 00:01:11,680 --> 00:01:15,360 Speaker 1: a doctor not thinking it was a l S, and 22 00:01:15,480 --> 00:01:19,640 Speaker 1: he noticed my muscles twitching and brought in the head 23 00:01:19,640 --> 00:01:23,480 Speaker 1: of neurology um at the hospital that I went to, 24 00:01:24,200 --> 00:01:27,920 Speaker 1: and he almost immediately declared I probably had a L 25 00:01:28,160 --> 00:01:31,960 Speaker 1: S given my family history. So then I reached out 26 00:01:31,959 --> 00:01:34,920 Speaker 1: to other doctors who I knew in the A L 27 00:01:35,120 --> 00:01:40,560 Speaker 1: S field, and they basically confirmed it with a series 28 00:01:40,640 --> 00:01:44,120 Speaker 1: of tests. But your father who died of a LS 29 00:01:44,240 --> 00:01:46,319 Speaker 1: and your uncle who died of LS, they had a 30 00:01:46,400 --> 00:01:48,880 Speaker 1: gene which is kind of an A L S gene. 31 00:01:49,280 --> 00:01:52,360 Speaker 1: You had earlier been tested for that gene years ago 32 00:01:52,520 --> 00:01:54,280 Speaker 1: and we were told you didn't have it. No, I 33 00:01:54,320 --> 00:01:58,000 Speaker 1: had never been tested. I never wanted to be tested 34 00:01:58,320 --> 00:02:00,560 Speaker 1: because I didn't want to have to tell my kids 35 00:02:01,360 --> 00:02:06,840 Speaker 1: if I tested positive. So everyone sort of assumed I 36 00:02:06,960 --> 00:02:10,720 Speaker 1: had a LS based on my results and my family history. 37 00:02:11,240 --> 00:02:14,720 Speaker 1: But when the genetic testing came back, I did not 38 00:02:14,960 --> 00:02:19,000 Speaker 1: have the same genetic mutation that my dad and my uncle, 39 00:02:19,120 --> 00:02:22,840 Speaker 1: and by the way, their first cousin had, so it's 40 00:02:22,880 --> 00:02:26,720 Speaker 1: throughout my family. But I didn't have the gene, which 41 00:02:26,760 --> 00:02:31,240 Speaker 1: has happened like A five times in history. So for 42 00:02:31,360 --> 00:02:33,480 Speaker 1: people who were not familiar with a l S. It 43 00:02:33,600 --> 00:02:36,440 Speaker 1: first became well known to the public when lou Garic, 44 00:02:36,520 --> 00:02:40,639 Speaker 1: the famous baseball player, contracted it and died relatively quickly thereafter. 45 00:02:41,120 --> 00:02:42,880 Speaker 1: He was in his thirties. I believe at the time 46 00:02:43,760 --> 00:02:46,840 Speaker 1: since that time, since the nineteen thirties, have we made 47 00:02:46,880 --> 00:02:50,560 Speaker 1: that much progress in diagnosing or treating a LS. So 48 00:02:50,880 --> 00:02:55,280 Speaker 1: there had been virtually no progress for a hundred and 49 00:02:55,360 --> 00:03:00,960 Speaker 1: forty years from the time it was discovered in eighteen seventy. 50 00:03:01,800 --> 00:03:05,000 Speaker 1: My uncle died in two thousand and ten, and in 51 00:03:05,040 --> 00:03:08,040 Speaker 1: two thousand and ten I decided, you know, look in 52 00:03:08,120 --> 00:03:10,959 Speaker 1: my family, it's hereditary. My dad had died in two 53 00:03:10,960 --> 00:03:15,160 Speaker 1: thousand and two. I gotta do something, and so I 54 00:03:15,280 --> 00:03:18,960 Speaker 1: hired a team of scientists to understand why there was 55 00:03:19,040 --> 00:03:23,880 Speaker 1: so little progress made in the disease, and we came 56 00:03:23,919 --> 00:03:27,799 Speaker 1: up with a set of theories and created an organization 57 00:03:28,560 --> 00:03:34,920 Speaker 1: around those theories. Um that included, you know, funding of consortia, 58 00:03:35,640 --> 00:03:40,720 Speaker 1: funding of core scientific resources that anyone in the world 59 00:03:40,800 --> 00:03:46,360 Speaker 1: could draw on, bringing in biotech and pharma into the process, 60 00:03:47,040 --> 00:03:50,800 Speaker 1: and there's been an explosion of progress over the last 61 00:03:50,840 --> 00:03:55,240 Speaker 1: ten years. I'm really proud that Data Organization Target a 62 00:03:55,400 --> 00:03:59,640 Speaker 1: LS has has played a major role in catalyzing the 63 00:03:59,680 --> 00:04:03,000 Speaker 1: product dress. Now, when you were told recently you have 64 00:04:03,160 --> 00:04:05,920 Speaker 1: about a year ago a LS, you didn't say I'm 65 00:04:05,960 --> 00:04:08,680 Speaker 1: now gonna just take life very easy. You decided you're 66 00:04:08,680 --> 00:04:11,840 Speaker 1: gonna go raise another two fifty million dollars for target 67 00:04:11,880 --> 00:04:14,360 Speaker 1: a LS. Why did you say you wanted to put 68 00:04:14,360 --> 00:04:17,000 Speaker 1: the energy and effort into that, knowing it probably really 69 00:04:17,000 --> 00:04:24,280 Speaker 1: wouldn't help you. Because first of all, this affects my family. UM. 70 00:04:24,360 --> 00:04:27,400 Speaker 1: You know, even though I don't have the same genetic 71 00:04:27,520 --> 00:04:31,440 Speaker 1: mutation that my dad and uncle did, I may have 72 00:04:31,480 --> 00:04:37,000 Speaker 1: another genetic mutation that has not been discovered yet. UM, 73 00:04:37,200 --> 00:04:43,000 Speaker 1: and my cousins, my brothers might have a l S. 74 00:04:43,600 --> 00:04:47,560 Speaker 1: So it's very personal for me. But the other thing is, 75 00:04:47,600 --> 00:04:51,520 Speaker 1: and most people don't recognize this, one in four hundred 76 00:04:51,640 --> 00:04:56,320 Speaker 1: people who are alive today will die of ALS if 77 00:04:56,360 --> 00:05:01,039 Speaker 1: we don't come up with treatments. And so target ALS 78 00:05:01,080 --> 00:05:04,760 Speaker 1: has been amazingly successful over the last ten years, and 79 00:05:04,800 --> 00:05:08,400 Speaker 1: I thought there was nothing more important that I could 80 00:05:08,400 --> 00:05:13,839 Speaker 1: do than to scale up target ALS and hopefully see 81 00:05:14,520 --> 00:05:19,480 Speaker 1: real treatments that saved people's lives within the next five 82 00:05:19,560 --> 00:05:22,559 Speaker 1: to ten years. And hopefully we'll be at a point 83 00:05:22,600 --> 00:05:27,039 Speaker 1: within ten years that we can see a day when 84 00:05:27,080 --> 00:05:31,960 Speaker 1: everybody's lives get extended and saved. A number of years ago, 85 00:05:32,040 --> 00:05:35,560 Speaker 1: there was so called ice bucket Challenge and where I 86 00:05:35,600 --> 00:05:39,520 Speaker 1: think people were having water dumped on their heads and uh, 87 00:05:40,279 --> 00:05:43,320 Speaker 1: it was designed to raise money for a LS. I 88 00:05:43,360 --> 00:05:44,920 Speaker 1: think it did raise a fair amount of money, over 89 00:05:44,960 --> 00:05:47,880 Speaker 1: a hundred million dollars, but that was not for research. 90 00:05:48,000 --> 00:05:50,560 Speaker 1: That was for care of those who already have a 91 00:05:50,720 --> 00:05:53,000 Speaker 1: l S. Is that right. Some of it went to research, 92 00:05:53,440 --> 00:05:56,799 Speaker 1: but most of it went to patient care, which is important. 93 00:05:56,880 --> 00:06:00,480 Speaker 1: I mean, this is a devastating disease. UM. You know 94 00:06:00,520 --> 00:06:04,160 Speaker 1: what happens in a LS is the signals that get 95 00:06:04,240 --> 00:06:08,640 Speaker 1: sent from the brain to the muscles to move die 96 00:06:09,080 --> 00:06:12,880 Speaker 1: and when that happens, people get paralyzed, and it's just 97 00:06:13,080 --> 00:06:19,400 Speaker 1: a progressive disease where you lose more and more control UM. 98 00:06:19,880 --> 00:06:24,360 Speaker 1: So patient care is really important. We have to always 99 00:06:24,360 --> 00:06:29,360 Speaker 1: find the right balance between patient care and research because 100 00:06:29,400 --> 00:06:31,200 Speaker 1: at the end of the day, the thing that is 101 00:06:31,240 --> 00:06:34,440 Speaker 1: going to save the lives of those one in four 102 00:06:34,960 --> 00:06:40,520 Speaker 1: people UM is treatments, and we need a lot of 103 00:06:40,680 --> 00:06:44,880 Speaker 1: effort to actually come up with effective treatments. Now today 104 00:06:45,080 --> 00:06:47,640 Speaker 1: we still do not know what causes a LS. Is 105 00:06:47,680 --> 00:06:50,640 Speaker 1: it a genetic thing completely or is it environmental or 106 00:06:50,720 --> 00:06:53,239 Speaker 1: is there some combination. What do we really know about 107 00:06:53,240 --> 00:06:56,480 Speaker 1: what causes a LS? Well, there are certain genetic causes 108 00:06:57,120 --> 00:07:01,560 Speaker 1: that we know our respond table for a l S, 109 00:07:02,120 --> 00:07:05,719 Speaker 1: but that's only about ten of the cases. The other 110 00:07:07,240 --> 00:07:10,800 Speaker 1: we don't really know. We know now what the biological 111 00:07:10,880 --> 00:07:15,760 Speaker 1: pathways are UM, so we have a much better understanding 112 00:07:15,880 --> 00:07:22,040 Speaker 1: of the science and that is leading to UM potential treatments, 113 00:07:23,520 --> 00:07:29,560 Speaker 1: But the really understanding the cause, I think we're still 114 00:07:29,800 --> 00:07:31,760 Speaker 1: got a long way to go. We to talk about 115 00:07:31,760 --> 00:07:33,760 Speaker 1: a little bit more about a l S in a moment. 116 00:07:33,920 --> 00:07:37,560 Speaker 1: Let me talk about your background. Where are you from? 117 00:07:37,360 --> 00:07:41,480 Speaker 1: I grew up in Birmingham, Michigan, a suburb of Detroit, Okay. 118 00:07:41,560 --> 00:07:45,400 Speaker 1: And your father was My father was a lawyer who 119 00:07:45,440 --> 00:07:49,040 Speaker 1: became the chief judge of the Michigan Court of Appeal. 120 00:07:49,200 --> 00:07:52,600 Speaker 1: And at what age did he contract a LS? Sixty 121 00:07:52,680 --> 00:07:57,800 Speaker 1: six years old. My mother, who was a psychologist, had 122 00:07:57,840 --> 00:08:02,400 Speaker 1: just died of a rare net cancer at sixty four, 123 00:08:02,880 --> 00:08:07,920 Speaker 1: and literally within weeks of her dying, he started to 124 00:08:07,960 --> 00:08:12,040 Speaker 1: show symptoms UM that would later be diagnosed as a 125 00:08:12,240 --> 00:08:15,200 Speaker 1: l S. He started a limp. Basically, you weren't what 126 00:08:15,320 --> 00:08:19,200 Speaker 1: age now and that today I'm sixty four, so about 127 00:08:19,200 --> 00:08:21,960 Speaker 1: the same age your father, A little bit a little 128 00:08:21,960 --> 00:08:25,600 Speaker 1: bit less. Where'd you go to college Harvard? And what 129 00:08:25,680 --> 00:08:27,360 Speaker 1: did you study there? And what did you want to be? 130 00:08:27,680 --> 00:08:32,600 Speaker 1: I didn't know what I wanted to be. I studied government, um, 131 00:08:33,160 --> 00:08:37,559 Speaker 1: because I didn't know anything better. Um. But my biggest 132 00:08:37,600 --> 00:08:42,320 Speaker 1: achievement in college was meeting my wife freshman year. We've 133 00:08:42,320 --> 00:08:47,080 Speaker 1: now been dating or married forty five years, so that 134 00:08:47,200 --> 00:08:51,000 Speaker 1: was my biggest achievement. Achievement. So after college? Who went 135 00:08:51,040 --> 00:08:53,520 Speaker 1: to law school at the Universit Chicago? Before I did that, 136 00:08:53,600 --> 00:08:57,120 Speaker 1: I was a political pollster for a firm called Market 137 00:08:57,120 --> 00:09:00,360 Speaker 1: Opinion Research, and I'd be flying all over the country 138 00:09:00,400 --> 00:09:04,240 Speaker 1: as a twenty two year old advising candidates. And the 139 00:09:04,280 --> 00:09:07,880 Speaker 1: fact that they listened to me discouraged me so much 140 00:09:08,360 --> 00:09:10,440 Speaker 1: that I decided to go to law school. The fact 141 00:09:10,480 --> 00:09:14,360 Speaker 1: that they were listening to a year olds exactly, all right, 142 00:09:14,400 --> 00:09:16,160 Speaker 1: she went to law school the universe Chicago. And what 143 00:09:16,160 --> 00:09:19,560 Speaker 1: did you do after you graduated? Um? I went to 144 00:09:19,679 --> 00:09:23,000 Speaker 1: work for Lehman Brothers. So you were an investment banker? 145 00:09:23,640 --> 00:09:26,040 Speaker 1: And how long did you do that three years? And 146 00:09:26,080 --> 00:09:29,120 Speaker 1: then you went into the calling of private equity right 147 00:09:29,160 --> 00:09:33,800 Speaker 1: to the firm that became partners. Okay, and so you 148 00:09:33,840 --> 00:09:36,840 Speaker 1: did that for how many years? Fourteen? All right? So 149 00:09:37,000 --> 00:09:39,679 Speaker 1: how did you become close to or get to know 150 00:09:39,880 --> 00:09:43,600 Speaker 1: Mike Bloomberg. It's it's actually a funny story. So back, 151 00:09:45,440 --> 00:09:48,400 Speaker 1: I was sitting in the stands of the World Cup 152 00:09:48,520 --> 00:09:52,439 Speaker 1: semi final game out at the Meadowlands in New Jersey, 153 00:09:52,800 --> 00:09:58,400 Speaker 1: was Italy versus Bulgaria. A friend literally dragged me um 154 00:09:58,400 --> 00:10:01,160 Speaker 1: to the game. I didn't want to go. It was 155 00:10:01,240 --> 00:10:04,559 Speaker 1: like a hundred degrees. We took the bus. It took forever, 156 00:10:05,360 --> 00:10:08,480 Speaker 1: but I walked into the stadium that day and I 157 00:10:08,520 --> 00:10:11,559 Speaker 1: thought it was the most amazing sporting event I had 158 00:10:11,600 --> 00:10:19,080 Speaker 1: ever seen. Um. Everyone was painted in Bulgarian and Italian colors. Um, 159 00:10:19,320 --> 00:10:22,680 Speaker 1: you couldn't sit down. So I was standing there through 160 00:10:22,720 --> 00:10:27,440 Speaker 1: the match thinking to myself, Um, you could play this 161 00:10:27,600 --> 00:10:31,400 Speaker 1: game in New York with any two countries in the 162 00:10:31,400 --> 00:10:36,160 Speaker 1: world and it would feel exactly the same. And then 163 00:10:36,200 --> 00:10:38,840 Speaker 1: I started thinking about the Olympics, which had always been 164 00:10:38,880 --> 00:10:42,559 Speaker 1: a fan of, and saying, why has the most international 165 00:10:42,640 --> 00:10:47,319 Speaker 1: city in the world never hosted the most international event. 166 00:10:47,880 --> 00:10:50,880 Speaker 1: And I left the stadium that day with this vague 167 00:10:50,920 --> 00:10:54,400 Speaker 1: notion that New York got to host the Olympics. And 168 00:10:54,520 --> 00:10:59,520 Speaker 1: so I built a plan with advisors about how New 169 00:10:59,559 --> 00:11:03,280 Speaker 1: York could host the Olympics, and eventually I showed it 170 00:11:03,280 --> 00:11:06,040 Speaker 1: to Mike Bloomberg. When he was running the company, he 171 00:11:06,120 --> 00:11:10,360 Speaker 1: wasn't contemplating running for mayor. He gave some money, he 172 00:11:10,440 --> 00:11:14,199 Speaker 1: went on the board UM, and then when he shockingly 173 00:11:14,480 --> 00:11:18,559 Speaker 1: won to be mayor, he asked me to join him 174 00:11:18,559 --> 00:11:21,320 Speaker 1: in City Hall. And what did you do at City Hall? 175 00:11:21,440 --> 00:11:23,760 Speaker 1: For Mike Bloomberg? In the city so, I was responsible 176 00:11:23,840 --> 00:11:29,559 Speaker 1: for everything economic and financial. So my title was Deputy 177 00:11:29,559 --> 00:11:33,920 Speaker 1: Mayor for Economic Development and rebuilding. First task was rebuilding 178 00:11:33,920 --> 00:11:38,120 Speaker 1: the World Trade Center site. But then we really rethought 179 00:11:38,720 --> 00:11:43,800 Speaker 1: the future of New York physically and financially UM by 180 00:11:43,920 --> 00:11:48,720 Speaker 1: having a five borough economic development strategy. Now, after serving 181 00:11:48,760 --> 00:11:51,320 Speaker 1: as Deputy Mayor of New York for development and other 182 00:11:51,360 --> 00:11:54,640 Speaker 1: projects dealing with economic development, you left after how many years? 183 00:11:55,440 --> 00:11:58,760 Speaker 1: I was there for six years and then Mike. One day, 184 00:11:58,840 --> 00:12:03,000 Speaker 1: Mike Bloomberg, we sat in this bullpen in City Hall. 185 00:12:03,040 --> 00:12:09,160 Speaker 1: It's an open space, UM, and I sat basically behind him. 186 00:12:09,200 --> 00:12:17,720 Speaker 1: One day, he wheeled around and he UM said, Uh, 187 00:12:17,760 --> 00:12:20,400 Speaker 1: what would you think about going over and running Bloomberg? 188 00:12:21,559 --> 00:12:26,040 Speaker 1: And I said to him, what are you talking about? UM, 189 00:12:26,080 --> 00:12:29,240 Speaker 1: in the six years that we have sat here together, 190 00:12:29,960 --> 00:12:36,160 Speaker 1: we have discussed the company for one hour total, and 191 00:12:36,200 --> 00:12:39,760 Speaker 1: he said, no, I think you'd be really good. UM. 192 00:12:39,840 --> 00:12:44,000 Speaker 1: I'd never run a big company before. UM. I didn't 193 00:12:44,000 --> 00:12:47,120 Speaker 1: know anything about Bloomberg. When I was in private ectuity, 194 00:12:47,160 --> 00:12:51,000 Speaker 1: I was a light user of Bloomberg. I knew one 195 00:12:51,160 --> 00:12:54,400 Speaker 1: person at the company and he said, no, I think 196 00:12:54,400 --> 00:12:57,040 Speaker 1: you'd be really good. So I said, okay, I'll think 197 00:12:57,040 --> 00:13:00,520 Speaker 1: about it. So I came back the next day said okay, 198 00:13:00,559 --> 00:13:03,040 Speaker 1: I'm gonna do it. I'm not going to do it 199 00:13:03,080 --> 00:13:05,520 Speaker 1: for the same salary I was getting paid in government, 200 00:13:05,760 --> 00:13:12,520 Speaker 1: which was one dollar UM. And I started UM about 201 00:13:12,640 --> 00:13:17,000 Speaker 1: six weeks later, and after it was announced publicly that 202 00:13:17,040 --> 00:13:20,360 Speaker 1: I was going to go run Bloomberg. UM, I said 203 00:13:20,400 --> 00:13:23,000 Speaker 1: to Mike, Okay, I'm doing it. What do you want 204 00:13:23,040 --> 00:13:26,520 Speaker 1: me to do? UM? He said, I don't know. I 205 00:13:26,559 --> 00:13:29,480 Speaker 1: haven't been there for six years. You go figure it out. 206 00:13:30,240 --> 00:13:34,480 Speaker 1: And I did so. How many years did you run 207 00:13:34,520 --> 00:13:37,760 Speaker 1: bloom Seven? Seven years? And the company grew pretty nicely 208 00:13:37,840 --> 00:13:41,080 Speaker 1: during that period. Yeah, I mean we as soon as 209 00:13:41,080 --> 00:13:45,079 Speaker 1: I got there the financial crisis happened, UM, but we 210 00:13:45,120 --> 00:13:49,000 Speaker 1: grew from I think five point four billion in revenues 211 00:13:49,800 --> 00:13:52,520 Speaker 1: UM to nine in the seven years that I was there. 212 00:13:53,040 --> 00:13:55,560 Speaker 1: After Mike finished his third term as mayor, he came 213 00:13:55,600 --> 00:13:58,600 Speaker 1: back and being resumed the position of being Shio. You 214 00:13:58,760 --> 00:14:02,600 Speaker 1: left the company and you still another company called Sidewalk Labs. 215 00:14:02,679 --> 00:14:06,320 Speaker 1: What was that? That was a company I formed with 216 00:14:06,720 --> 00:14:13,280 Speaker 1: Larry Page and Google became alphabet UM that was focused 217 00:14:13,280 --> 00:14:17,800 Speaker 1: on urban innovation. And what we wanted to do was 218 00:14:17,880 --> 00:14:21,320 Speaker 1: built up the most innovative place in the world. But 219 00:14:21,560 --> 00:14:28,200 Speaker 1: also by focusing on building a place, UM developed ideas 220 00:14:28,960 --> 00:14:37,480 Speaker 1: urban innovation ideas that could UM dramatically transform UM the cities. 221 00:14:37,800 --> 00:14:41,000 Speaker 1: So you're running that company, and then when you got 222 00:14:41,040 --> 00:14:44,400 Speaker 1: the news that you had a LS, you decided, I'm 223 00:14:44,440 --> 00:14:47,000 Speaker 1: out of this. I'm gonna go throw myself to target 224 00:14:47,000 --> 00:14:50,040 Speaker 1: A LS. Is that right, basically? And I still over 225 00:14:50,840 --> 00:14:52,680 Speaker 1: on the board of a couple of the companies that 226 00:14:52,840 --> 00:14:56,440 Speaker 1: we created, But yeah, my focus was definitely on a 227 00:14:56,640 --> 00:14:59,680 Speaker 1: l S. And you know, I also wanted to spend 228 00:15:00,480 --> 00:15:06,400 Speaker 1: much more time with my family with friends, travel, UM, 229 00:15:06,960 --> 00:15:12,000 Speaker 1: do things that I had always wanted to do, and UM, 230 00:15:12,040 --> 00:15:15,000 Speaker 1: it's actually worked out amazingly. Well, you've been around young 231 00:15:15,040 --> 00:15:17,320 Speaker 1: people for much of your career as well, and you've 232 00:15:17,440 --> 00:15:21,800 Speaker 1: hired many young people at Bloomberg New York City sidewalk Labs. 233 00:15:22,200 --> 00:15:25,200 Speaker 1: Somebody says I want to be a person has an 234 00:15:25,240 --> 00:15:28,240 Speaker 1: impact on society. What would you recommend that somebody do 235 00:15:28,360 --> 00:15:30,960 Speaker 1: to train themselves and to work their way up to 236 00:15:31,040 --> 00:15:34,640 Speaker 1: be somebody that's impactful on society. Well, I think the 237 00:15:34,720 --> 00:15:39,360 Speaker 1: first thing, you've got to believe in something that you 238 00:15:39,440 --> 00:15:43,120 Speaker 1: really care about. You know, I've been fortunate that over 239 00:15:43,200 --> 00:15:46,240 Speaker 1: the course of my career, I've come up with things 240 00:15:46,320 --> 00:15:51,360 Speaker 1: that have mattered to me. UM, and I've pursued them. Um. 241 00:15:51,400 --> 00:15:55,720 Speaker 1: You know the best advice I ever got, UM was 242 00:15:55,880 --> 00:15:58,800 Speaker 1: from Mike Bloomberg, and he said to me at one point, 243 00:15:59,480 --> 00:16:03,880 Speaker 1: he said, and UM, show me somebody who's never lost, 244 00:16:04,560 --> 00:16:08,440 Speaker 1: and I'll show you a loser. UM. And I believe 245 00:16:08,520 --> 00:16:13,200 Speaker 1: that that if you believe in something, go after it. 246 00:16:13,520 --> 00:16:18,800 Speaker 1: Take risk. Obviously they should be smart risks, but they 247 00:16:18,840 --> 00:16:21,960 Speaker 1: should be around things that you really care about. So 248 00:16:22,160 --> 00:16:25,160 Speaker 1: you would see your legacy as being actually target als 249 00:16:25,240 --> 00:16:28,240 Speaker 1: and helping to moderate the impact of the LS, if 250 00:16:28,240 --> 00:16:31,560 Speaker 1: not curing it. That's my final legacy. I'm proud of 251 00:16:31,720 --> 00:16:35,560 Speaker 1: some of the other stuff that I've done as well, Um, 252 00:16:35,600 --> 00:16:40,600 Speaker 1: you know, the transformation of New York after nine eleven. 253 00:16:40,920 --> 00:16:43,240 Speaker 1: I'm also incredibly proud of a lot of the companies 254 00:16:43,280 --> 00:16:46,800 Speaker 1: we created, it Sidewalk, I'm proud of the Chad. I'm 255 00:16:46,800 --> 00:16:49,280 Speaker 1: proud of a lot. But I feel like i've I've 256 00:16:49,960 --> 00:16:52,200 Speaker 1: I've done a lot. How do you think New York 257 00:16:52,240 --> 00:16:54,960 Speaker 1: City is doing today? Mike Bloomberg is no longer mayor. 258 00:16:55,160 --> 00:16:57,480 Speaker 1: There's been mayor after him, and now we have new 259 00:16:57,480 --> 00:17:00,480 Speaker 1: Mayor Eric Adams in New York. Um, it's New York 260 00:17:00,480 --> 00:17:02,720 Speaker 1: as as safe as it was when you were in 261 00:17:02,720 --> 00:17:05,440 Speaker 1: the government, It's not as safe as it was. Crime 262 00:17:05,600 --> 00:17:08,879 Speaker 1: is clearly rising. I mean, it's not back to the 263 00:17:09,000 --> 00:17:13,359 Speaker 1: dark old days of you know, pre Juliani in the 264 00:17:13,440 --> 00:17:17,000 Speaker 1: not early nineties. But we've got to be careful because 265 00:17:17,200 --> 00:17:23,080 Speaker 1: safety is a foundation of everything. And so I know 266 00:17:23,359 --> 00:17:28,080 Speaker 1: the current mayor is committed to reducing crime. Um, but 267 00:17:28,280 --> 00:17:31,520 Speaker 1: we're gonna have to be incredibly aggressive in making sure 268 00:17:31,640 --> 00:17:34,040 Speaker 1: that crime does not in you involved any longer in 269 00:17:34,040 --> 00:17:37,400 Speaker 1: New York City matters or your advice. Theyor and governor 270 00:17:37,520 --> 00:17:42,440 Speaker 1: actually asked me to co chair a panel or a 271 00:17:43,160 --> 00:17:48,119 Speaker 1: task force on reviving the commercial districts throughout the city. 272 00:17:48,240 --> 00:17:50,720 Speaker 1: So I've been in the middle of that well that 273 00:17:50,880 --> 00:17:54,840 Speaker 1: later this fall will produce the report that hopefully, you know, 274 00:17:55,040 --> 00:18:01,320 Speaker 1: will be pretty um inspiring here and in other places. 275 00:18:01,520 --> 00:18:04,560 Speaker 1: One of the other projects you conceived of is the Shed, 276 00:18:04,840 --> 00:18:06,600 Speaker 1: and you were for a while the chairman of it 277 00:18:06,640 --> 00:18:08,080 Speaker 1: for a long time. You got it off the ground. 278 00:18:08,119 --> 00:18:10,480 Speaker 1: What is the Shed? We want to put a cultural 279 00:18:10,480 --> 00:18:14,159 Speaker 1: institution on the far west side of Manhattan. And so 280 00:18:14,240 --> 00:18:17,280 Speaker 1: what we decided to do was create a new kind 281 00:18:17,280 --> 00:18:22,840 Speaker 1: of cultural institution that would be remarkably adaptable. Um. The 282 00:18:23,000 --> 00:18:27,199 Speaker 1: spaces could be adapted to anything. Um. They could accommodate 283 00:18:27,280 --> 00:18:35,159 Speaker 1: virtually all forms of artistic expression. UM. There's many different 284 00:18:35,240 --> 00:18:39,679 Speaker 1: venues in it. The building literally moves back and forth. 285 00:18:40,119 --> 00:18:45,159 Speaker 1: It is so flexible. It's sort of an architectural marvel. Um. 286 00:18:45,200 --> 00:18:47,680 Speaker 1: And I'm really proud of it now. Perhaps the most 287 00:18:47,760 --> 00:18:50,480 Speaker 1: famous person who had a LS was Luke Garrick, where 288 00:18:50,560 --> 00:18:53,160 Speaker 1: some people still call it glu Garrick's disease. But another 289 00:18:53,200 --> 00:18:55,880 Speaker 1: famous person had it with Stephen Hawking, and he lived 290 00:18:55,920 --> 00:18:58,119 Speaker 1: for some thirty plus years with it. How do you 291 00:18:58,160 --> 00:19:01,080 Speaker 1: explain that sometimes people can live for thirty years plus. 292 00:19:01,240 --> 00:19:05,800 Speaker 1: A couple of people live beyond ten years. One of 293 00:19:05,840 --> 00:19:10,359 Speaker 1: the decisions that I'm going to face, because my major 294 00:19:10,440 --> 00:19:16,840 Speaker 1: symptom is respiratory and that's why people ultimately die, is 295 00:19:16,920 --> 00:19:23,760 Speaker 1: to get a tracheostomy um, which means that you can't 296 00:19:24,000 --> 00:19:28,639 Speaker 1: breathe independently. You also can't eat, and you also generally 297 00:19:28,720 --> 00:19:32,960 Speaker 1: cannot talk, so you communicate by looking and spelling out 298 00:19:33,000 --> 00:19:37,800 Speaker 1: words on a computer screen. And you know a lot 299 00:19:37,840 --> 00:19:42,480 Speaker 1: of people I don't want to live that way. UM, 300 00:19:42,640 --> 00:19:47,920 Speaker 1: I think I probably would. UM. I want to see 301 00:19:48,240 --> 00:19:52,440 Speaker 1: my grandchildren grow up. UM. I still think I could 302 00:19:52,440 --> 00:19:57,040 Speaker 1: be engaged in things. Again, that's sort of my optimistic nature, 303 00:19:57,800 --> 00:20:02,760 Speaker 1: that it's not just about believing there's a cure, um, 304 00:20:02,800 --> 00:20:08,520 Speaker 1: but it's sometimes about believing that the better of too 305 00:20:08,560 --> 00:20:14,560 Speaker 1: bad alternatives UM is something worth doing. So you know it, 306 00:20:14,720 --> 00:20:18,760 Speaker 1: faced with that choice, I think that's what I would do, 307 00:20:19,080 --> 00:20:21,679 Speaker 1: And you know I'll need a lot of help, but 308 00:20:22,520 --> 00:20:25,399 Speaker 1: fortunately I can afford it. The word progressive is a 309 00:20:25,440 --> 00:20:28,000 Speaker 1: word used for a l S and other diseases as well. 310 00:20:28,119 --> 00:20:31,600 Speaker 1: Progressive is a euphanism for it's never going to get better, 311 00:20:31,600 --> 00:20:34,880 Speaker 1: it's going to get worse. So progressive in the case 312 00:20:34,920 --> 00:20:37,160 Speaker 1: of a l S means you're going to die much 313 00:20:37,200 --> 00:20:41,000 Speaker 1: sooner than you would otherwise die absence some sort of 314 00:20:41,520 --> 00:20:49,119 Speaker 1: miracle progress, which I don't really expect for of a 315 00:20:49,280 --> 00:20:52,520 Speaker 1: l S. Patients die within three to five years. Many 316 00:20:52,560 --> 00:20:55,280 Speaker 1: people when they face death and the certainty of death, 317 00:20:55,280 --> 00:20:57,879 Speaker 1: and everybody's going to die at some point, but people 318 00:20:58,040 --> 00:21:00,480 Speaker 1: generally think it's way down the road or over the horizon. 319 00:21:00,880 --> 00:21:03,640 Speaker 1: You know that within three to five years it's more 320 00:21:03,720 --> 00:21:06,239 Speaker 1: likely than not that you will not be alive. So 321 00:21:06,320 --> 00:21:07,800 Speaker 1: how do you deal with that every day when you 322 00:21:07,840 --> 00:21:12,560 Speaker 1: get up? You Know, the interesting thing is I have 323 00:21:12,760 --> 00:21:18,640 Speaker 1: been in an amazing mood ever since I've been diagnosed. 324 00:21:19,600 --> 00:21:25,600 Speaker 1: I've had maybe one down hour communatively in the last year. 325 00:21:26,640 --> 00:21:31,160 Speaker 1: Um and I've got many theories to try and explain it. 326 00:21:31,920 --> 00:21:37,520 Speaker 1: The biggest one is when I was diagnosed, I stopped 327 00:21:37,560 --> 00:21:41,119 Speaker 1: thinking about the future. It was not something I tried 328 00:21:41,160 --> 00:21:44,400 Speaker 1: to do. I think it was sort of my optimistic 329 00:21:44,560 --> 00:21:48,640 Speaker 1: nature protecting me. And it's not like I'm in denial. 330 00:21:48,760 --> 00:21:51,879 Speaker 1: I know the statistics. I spend lots of time with 331 00:21:51,960 --> 00:21:55,560 Speaker 1: a l S patients. I've lived with it with my father, 332 00:21:55,880 --> 00:22:00,360 Speaker 1: my uncle, my college roommate died of a l s UM. 333 00:22:00,520 --> 00:22:05,280 Speaker 1: So I know what's going to happen. UM. But I 334 00:22:05,359 --> 00:22:09,359 Speaker 1: stopped thinking about the future, and that has been just 335 00:22:09,480 --> 00:22:12,760 Speaker 1: an enormous benefit for me. I have a lot of 336 00:22:12,800 --> 00:22:17,880 Speaker 1: other theories to explain why I've been so unfazed by 337 00:22:17,920 --> 00:22:22,640 Speaker 1: the disease, why I've been so happy. UM. That includes 338 00:22:23,400 --> 00:22:27,520 Speaker 1: I've had a great life. UM. I have a wonderful family, 339 00:22:28,200 --> 00:22:33,560 Speaker 1: I've got great friends. I've done what I wanted career wise. UM. 340 00:22:33,560 --> 00:22:37,080 Speaker 1: I've done outside things like the Shed or the Olympics 341 00:22:37,160 --> 00:22:42,600 Speaker 1: that I wanted to do because I was passionate about them. Um. 342 00:22:42,640 --> 00:22:45,600 Speaker 1: I've had a great life, and obviously I wanted to continue. 343 00:22:46,440 --> 00:22:49,119 Speaker 1: But if it doesn't, I'm grateful for the life that 344 00:22:49,200 --> 00:22:53,000 Speaker 1: I've had. And then you know, I've been bathed in 345 00:22:53,200 --> 00:22:57,199 Speaker 1: sort of like the love and support of so many people. 346 00:22:57,800 --> 00:23:02,320 Speaker 1: When I announced that I had a l s UM, 347 00:23:02,359 --> 00:23:06,119 Speaker 1: I got at thousands of notes, you know, lots of 348 00:23:06,119 --> 00:23:10,439 Speaker 1: people talking about the impact that I've had on their life, etcetera. 349 00:23:10,720 --> 00:23:14,640 Speaker 1: I literally felt like I died and witnessed my funeral. 350 00:23:15,520 --> 00:23:19,240 Speaker 1: But then the last part of it is UM, I 351 00:23:19,320 --> 00:23:24,679 Speaker 1: feel like I've got purpose. UM with target A ls UM, 352 00:23:24,720 --> 00:23:30,760 Speaker 1: I feel like I can contribute to saving people's lives, 353 00:23:32,200 --> 00:23:37,040 Speaker 1: maybe my own, unlikely my kids, my family, but those 354 00:23:37,040 --> 00:23:41,240 Speaker 1: one in four people, and there's nothing more important than that. 355 00:23:41,680 --> 00:23:44,439 Speaker 1: So I feel like I'm on my last mission and 356 00:23:44,520 --> 00:23:48,679 Speaker 1: it gives me a real sense of purpose. Thanks for 357 00:23:48,720 --> 00:23:51,560 Speaker 1: listening to hear more of my interviews. You can subscribe 358 00:23:51,560 --> 00:23:55,399 Speaker 1: and download my podcast on Spotify, Apple, or wherever you 359 00:23:55,480 --> 00:24:02,960 Speaker 1: listen Meann