1 00:00:17,560 --> 00:00:21,000 Speaker 1: Pushkin too quick. No, it's perfect push kid stuff. 2 00:00:21,400 --> 00:00:37,360 Speaker 2: You got it, Jacob on business history, we often talk 3 00:00:37,400 --> 00:00:40,640 Speaker 2: about rich people and the businesses that made them rich, but. 4 00:00:40,640 --> 00:00:44,080 Speaker 3: We rarely talk about what many of those rich people 5 00:00:44,120 --> 00:00:46,600 Speaker 3: do with the second half of their lives, which is 6 00:00:46,680 --> 00:00:48,240 Speaker 3: the attempt to live forever. 7 00:00:48,320 --> 00:00:50,760 Speaker 4: Yeah, they got all this money, why not? Really nice? 8 00:00:50,800 --> 00:00:52,680 Speaker 5: And you know when a rich person decides they want 9 00:00:52,720 --> 00:00:55,120 Speaker 5: to live forever, a lot of people show up to 10 00:00:55,200 --> 00:00:56,840 Speaker 5: take their money to help them. 11 00:00:57,040 --> 00:00:58,800 Speaker 1: I'm Jacob Woldstein, I'm Robert Smith. 12 00:00:59,080 --> 00:01:00,640 Speaker 4: We have a very special guest today. 13 00:01:00,800 --> 00:01:02,720 Speaker 6: Hi, Kara Swisher. Kara Swisher. 14 00:01:02,960 --> 00:01:04,959 Speaker 5: Yeah, this is Business History, a show about the history 15 00:01:04,960 --> 00:01:06,999 Speaker 5: of business. And Kara, you have a new show. 16 00:01:07,200 --> 00:01:09,240 Speaker 6: I do. I do have a new show. So Kara 17 00:01:09,280 --> 00:01:10,280 Speaker 6: Swisher wants to live forever. 18 00:01:10,319 --> 00:01:11,920 Speaker 7: Although I have a lot of business history because I'm 19 00:01:12,360 --> 00:01:16,120 Speaker 7: and then Discovery History, I am business history. So I 20 00:01:16,120 --> 00:01:18,600 Speaker 7: feel good being here. I've been covering tech since the 21 00:01:19,080 --> 00:01:21,160 Speaker 7: beginning of the Internet age. I would say, when these 22 00:01:21,200 --> 00:01:23,800 Speaker 7: people didn't have money, when Jeff Bezos was poor, right. 23 00:01:23,760 --> 00:01:25,480 Speaker 4: Mister poor hedge fund. 24 00:01:25,480 --> 00:01:29,160 Speaker 7: He was, well, he wasn't rich, I'll tell you that, 25 00:01:29,240 --> 00:01:31,680 Speaker 7: not like he couldn't buy Venice at the time in 26 00:01:31,720 --> 00:01:34,720 Speaker 7: this wedding, and I just covered them as a reporter, 27 00:01:34,880 --> 00:01:36,560 Speaker 7: first at the Washington Post and then I was at 28 00:01:36,600 --> 00:01:39,120 Speaker 7: the Wall Street Journal for a long time, and it 29 00:01:39,200 --> 00:01:41,840 Speaker 7: was really interesting to watch them transform the world in 30 00:01:41,880 --> 00:01:46,720 Speaker 7: a lot of ways, not just technology, but everything social, political, communications, 31 00:01:46,920 --> 00:01:52,040 Speaker 7: for everything. It touched everything, and as it started to change, 32 00:01:52,200 --> 00:01:54,280 Speaker 7: you would see them change. And one of the things 33 00:01:54,280 --> 00:01:57,600 Speaker 7: that comes with great wealth and great adelation. 34 00:01:57,480 --> 00:01:58,760 Speaker 6: Is the idea that you're a god. 35 00:01:59,120 --> 00:02:01,680 Speaker 7: And so they started to act like gods, which was 36 00:02:01,720 --> 00:02:03,720 Speaker 7: some of them, not all of them. And what I 37 00:02:03,720 --> 00:02:07,160 Speaker 7: found really interesting is their interests started to if they 38 00:02:07,160 --> 00:02:10,880 Speaker 7: could hack the world, could they hack life itself? And 39 00:02:10,920 --> 00:02:13,000 Speaker 7: they kept early on, they started doing a lot of 40 00:02:13,000 --> 00:02:15,320 Speaker 7: healthcare related things because it's a big industry and it's 41 00:02:15,320 --> 00:02:18,800 Speaker 7: a really messed up in afficient industry, and they just 42 00:02:18,840 --> 00:02:22,200 Speaker 7: started to get very interested in their bodies, like in 43 00:02:22,280 --> 00:02:23,760 Speaker 7: terms of what they were doing and could. 44 00:02:23,560 --> 00:02:24,360 Speaker 6: They hack the brain? 45 00:02:24,520 --> 00:02:27,160 Speaker 7: And it's been out of science fiction because a lot 46 00:02:27,160 --> 00:02:30,520 Speaker 7: of science fiction is about that, about the morphing of 47 00:02:31,000 --> 00:02:34,519 Speaker 7: technology with humans. They started to sort of get into 48 00:02:34,520 --> 00:02:35,919 Speaker 7: that and they started talking about it. 49 00:02:36,480 --> 00:02:39,359 Speaker 3: But you know, it's not just that it's the new 50 00:02:39,480 --> 00:02:41,840 Speaker 3: rich and the new technology. I mean, it seems like 51 00:02:42,560 --> 00:02:45,120 Speaker 3: people who have been rich, who think themselves gods, have 52 00:02:45,200 --> 00:02:46,480 Speaker 3: been doing this for a long long time. 53 00:02:46,600 --> 00:02:50,040 Speaker 5: Yeah, we were looking back the first Emperor of China, 54 00:02:50,600 --> 00:02:52,600 Speaker 5: the guy who united China. 55 00:02:52,240 --> 00:02:53,440 Speaker 6: Which we mentioned in the show. 56 00:02:53,520 --> 00:02:56,840 Speaker 5: Yeah, jinghr Wong, right, so that's hundreds of years we 57 00:02:57,000 --> 00:03:00,280 Speaker 5: see he put out an executive order for everybody in 58 00:03:00,320 --> 00:03:03,560 Speaker 5: the empire to look for a life prolonging elixir and 59 00:03:03,600 --> 00:03:06,799 Speaker 5: send people out on missions and apparently brought in you know, 60 00:03:07,200 --> 00:03:10,799 Speaker 5: doctors slash, alchemist slash and magicians to his court, right, 61 00:03:11,400 --> 00:03:14,720 Speaker 5: and it's means as if he died of mercury poisoning 62 00:03:14,760 --> 00:03:17,080 Speaker 5: because they gave him mercury too livery long. 63 00:03:16,919 --> 00:03:18,960 Speaker 7: That you've got that exactly right, And we talk about 64 00:03:19,000 --> 00:03:21,680 Speaker 7: those there's been throughout time that like drinking the blood 65 00:03:21,720 --> 00:03:24,440 Speaker 7: of virgins doing that, you know, there was all manner 66 00:03:24,520 --> 00:03:26,920 Speaker 7: of different things, or bathing in the blood of virgins. 67 00:03:26,919 --> 00:03:27,480 Speaker 6: For example. 68 00:03:28,520 --> 00:03:31,040 Speaker 7: Ponce de Leon is sort of the most enduring finding 69 00:03:31,040 --> 00:03:33,960 Speaker 7: the found you you know, and there's all these these 70 00:03:34,000 --> 00:03:37,480 Speaker 7: ideas around how to live forever and use the word lixur, 71 00:03:37,520 --> 00:03:40,160 Speaker 7: which is really important because the liixture is always in 72 00:03:40,240 --> 00:03:42,600 Speaker 7: science fiction, and of course this motivates a lot of 73 00:03:42,760 --> 00:03:44,600 Speaker 7: science fiction, as I said, motivates a lot of tech 74 00:03:44,640 --> 00:03:47,240 Speaker 7: people and the idea that there is a one, single 75 00:03:47,320 --> 00:03:50,000 Speaker 7: solution that will give you life. And then it also 76 00:03:50,080 --> 00:03:54,480 Speaker 7: morphs interestingly into the ideas behind Frankenstein and Dracula, and 77 00:03:54,720 --> 00:03:58,040 Speaker 7: you know that's all about longevity in some way and 78 00:03:58,080 --> 00:03:59,080 Speaker 7: the costs of lunch. 79 00:03:59,120 --> 00:04:02,200 Speaker 5: Well, Frankenstein is a book about technology, right, It's written 80 00:04:02,240 --> 00:04:04,800 Speaker 5: in the eighteen hundreds, kind of amidst the Industrial Revolution 81 00:04:05,080 --> 00:04:08,440 Speaker 5: by a romantic writer and a cautionary tale for sure. 82 00:04:09,040 --> 00:04:11,480 Speaker 6: Or is it right? Because I think it does how 83 00:04:11,520 --> 00:04:12,000 Speaker 6: you reach it? 84 00:04:12,840 --> 00:04:15,560 Speaker 7: You know, the idea of vampires, the idea of all 85 00:04:15,600 --> 00:04:18,400 Speaker 7: these things is how do you morph your body so 86 00:04:18,520 --> 00:04:19,480 Speaker 7: that it's immortal? 87 00:04:19,880 --> 00:04:20,080 Speaker 4: Said? 88 00:04:20,080 --> 00:04:23,960 Speaker 7: Of course Greek mythology, it's to Thonus, a god falls 89 00:04:23,960 --> 00:04:25,999 Speaker 7: in love with this guy, gives him eternal life, but 90 00:04:26,039 --> 00:04:27,160 Speaker 7: forgets to keep him young. 91 00:04:27,400 --> 00:04:29,680 Speaker 4: Right, it's the curse of immortality. 92 00:04:29,080 --> 00:04:31,800 Speaker 7: Right, the curse of immortality. And that's so all of it. 93 00:04:31,800 --> 00:04:34,840 Speaker 7: It's throughout our history of humanity. And of course religion 94 00:04:35,000 --> 00:04:37,039 Speaker 7: is about the idea of living forever. 95 00:04:37,080 --> 00:04:40,960 Speaker 5: And that same Chinese emperor who died of mercury poisoning. 96 00:04:41,200 --> 00:04:45,120 Speaker 5: Apparently he's the one with the terra cotta warrior army 97 00:04:45,240 --> 00:04:48,120 Speaker 5: in his crypt right to you know, lead him through 98 00:04:48,160 --> 00:04:48,760 Speaker 5: the afterlife. 99 00:04:48,800 --> 00:04:50,840 Speaker 4: So even if he died at forty nine, in his 100 00:04:50,920 --> 00:04:51,960 Speaker 4: mind he was going to live. 101 00:04:52,000 --> 00:04:53,800 Speaker 8: And you don't even get to the Egyptians, which is 102 00:04:53,880 --> 00:05:00,040 Speaker 8: another industry, is an incredible technology tools to pull your 103 00:05:00,080 --> 00:05:03,800 Speaker 8: brains out like a later they would take the organs out, 104 00:05:03,880 --> 00:05:05,440 Speaker 8: mummify them, and then put them. 105 00:05:05,960 --> 00:05:08,839 Speaker 7: Them back in and actually they're rather well preserved, which 106 00:05:08,839 --> 00:05:11,560 Speaker 7: is really interesting, and so one of the and then 107 00:05:11,600 --> 00:05:13,960 Speaker 7: it got me interesting because then American history, you know, 108 00:05:14,040 --> 00:05:16,640 Speaker 7: Kellogg's a Cereal was about a health brand. 109 00:05:16,800 --> 00:05:18,400 Speaker 6: Right, there was all this manner of. 110 00:05:18,360 --> 00:05:21,320 Speaker 7: Stuff that these different people would try to perfect the 111 00:05:21,400 --> 00:05:24,960 Speaker 7: human body through nutrition and usually false nutrition. 112 00:05:25,120 --> 00:05:25,240 Speaker 8: Right. 113 00:05:25,279 --> 00:05:26,920 Speaker 5: It was always talk about Kellogg for a secon because 114 00:05:26,920 --> 00:05:29,080 Speaker 5: I think it speaks interestingly to a particular part of 115 00:05:29,120 --> 00:05:32,400 Speaker 5: your show. So there was John Harvey Kellogg, who was 116 00:05:32,440 --> 00:05:35,080 Speaker 5: actually his brother, started the serial company. John Harvey Kellogg 117 00:05:35,120 --> 00:05:36,839 Speaker 5: was a doctor and as you know, he had this 118 00:05:36,960 --> 00:05:41,000 Speaker 5: famous sanitarium, but it was like a fancy health spa, 119 00:05:41,400 --> 00:05:43,960 Speaker 5: you know, Amelia Earhart went there, and Henry Ford went there, 120 00:05:43,960 --> 00:05:47,720 Speaker 5: and presidents went there, and he prescribed. He was really 121 00:05:47,760 --> 00:05:51,800 Speaker 5: into enemas, including yogurt enemas, also into eating yogurt. So 122 00:05:51,800 --> 00:05:54,839 Speaker 5: I'm wondering probiotics light therapy. 123 00:05:54,920 --> 00:05:56,320 Speaker 1: Yeah, which you did in your show. 124 00:05:56,560 --> 00:05:58,080 Speaker 6: I did, but it's not doesn't work. 125 00:05:59,240 --> 00:06:03,000 Speaker 5: I'm guessing it didn't work then either. But that particular 126 00:06:03,040 --> 00:06:05,320 Speaker 5: story of John Harvey Kellogg and what a big deal 127 00:06:05,360 --> 00:06:07,880 Speaker 5: his sanitarium was and how legit he was and fantasy 128 00:06:08,040 --> 00:06:11,960 Speaker 5: was it reminded me of the You go essentially to 129 00:06:12,200 --> 00:06:13,800 Speaker 5: the modern version of that in the show, right, you 130 00:06:13,839 --> 00:06:15,159 Speaker 5: go to some fancy wellness center. 131 00:06:15,320 --> 00:06:16,040 Speaker 4: Tell us about that. 132 00:06:16,200 --> 00:06:17,000 Speaker 6: Well, it's interesting. 133 00:06:17,040 --> 00:06:20,320 Speaker 7: Concierge medicine has taken over and there is a healthcare 134 00:06:20,360 --> 00:06:22,560 Speaker 7: system for the rich and one for everybody else. And 135 00:06:22,600 --> 00:06:24,719 Speaker 7: of course we don't have universal health care in this country, 136 00:06:24,880 --> 00:06:26,960 Speaker 7: but a lot of people are sort of bypassing our 137 00:06:27,000 --> 00:06:30,000 Speaker 7: broken system and having these concierge medicines where they do 138 00:06:30,200 --> 00:06:33,800 Speaker 7: extensive amounts of tasks, look at everything, They want to 139 00:06:33,839 --> 00:06:35,840 Speaker 7: check you all the time, they call you all the time, 140 00:06:35,880 --> 00:06:38,320 Speaker 7: they want to make sure, they offer different supplements and 141 00:06:38,400 --> 00:06:42,800 Speaker 7: different trends and it's basically it's business, is what they're 142 00:06:42,839 --> 00:06:46,880 Speaker 7: trying to do, and they take advantage of sort of people, 143 00:06:47,440 --> 00:06:49,599 Speaker 7: especially rich people, having the money, to be able to 144 00:06:49,600 --> 00:06:53,240 Speaker 7: spend ridiculous amounts of money on solutions that aren't actually solutions. 145 00:06:53,279 --> 00:06:55,120 Speaker 5: I will say, like one that is interesting to me 146 00:06:55,200 --> 00:06:58,080 Speaker 5: in that regard is like the full body MRI scan 147 00:06:58,240 --> 00:07:00,400 Speaker 5: for healthy people, like that insurance doesn't cover. 148 00:07:00,480 --> 00:07:02,720 Speaker 4: It's a rich people think. I'm pretty sure that's a 149 00:07:02,760 --> 00:07:04,480 Speaker 4: bad idea. It is a bad idea. 150 00:07:04,200 --> 00:07:07,480 Speaker 5: Because there's lots of there's this term incidental oma, and 151 00:07:07,560 --> 00:07:08,800 Speaker 5: if you came up with that, but it's like it's 152 00:07:08,839 --> 00:07:11,400 Speaker 5: an incidental finding. It would have been fine if you 153 00:07:11,480 --> 00:07:13,520 Speaker 5: left at alone. But now that you've seen it, oh 154 00:07:13,520 --> 00:07:15,120 Speaker 5: we better do something about it, right. 155 00:07:15,040 --> 00:07:15,640 Speaker 6: And you couldn't that. 156 00:07:15,640 --> 00:07:18,680 Speaker 7: I was actually just interviewed Eric Topel yesterday on my podcast, 157 00:07:18,680 --> 00:07:21,000 Speaker 7: and he talked about that this idea of like you 158 00:07:21,040 --> 00:07:23,640 Speaker 7: go in there and cause more problems than you first 159 00:07:23,640 --> 00:07:25,640 Speaker 7: started when it was just a minor cyst, that you 160 00:07:25,680 --> 00:07:29,000 Speaker 7: don't need to do anything. Surgery, invasive surgery is always 161 00:07:29,000 --> 00:07:31,559 Speaker 7: full of risk, and so it's this you know, again, 162 00:07:31,600 --> 00:07:34,240 Speaker 7: as you say, from history, this has been something that's 163 00:07:34,240 --> 00:07:37,520 Speaker 7: been going on, that there's constantly a solution to something, 164 00:07:37,560 --> 00:07:40,600 Speaker 7: and the American public especially has been pushed and pulled 165 00:07:40,640 --> 00:07:42,440 Speaker 7: of what you should do and what you shouldn't do. 166 00:07:42,560 --> 00:07:45,320 Speaker 7: I mean, there's those famous pictures of people with the 167 00:07:45,360 --> 00:07:47,880 Speaker 7: things that shake you, you know, and of course now 168 00:07:50,000 --> 00:07:53,760 Speaker 7: and now you have shaking things, huh. And I'm always like, okay, 169 00:07:53,920 --> 00:07:54,760 Speaker 7: show me the science. 170 00:07:55,080 --> 00:07:55,760 Speaker 6: I'd like to see it. 171 00:07:55,800 --> 00:08:01,160 Speaker 7: And amid all this nonsense, there are incredible strides like 172 00:08:01,280 --> 00:08:03,760 Speaker 7: AI everyone's terrified of and should be for a number 173 00:08:03,760 --> 00:08:05,880 Speaker 7: of reasons. And at the same time, the idea of 174 00:08:05,960 --> 00:08:09,840 Speaker 7: drug discovery, the speed at which you could test things, 175 00:08:10,080 --> 00:08:14,000 Speaker 7: the idea of figuring out like an organ clock, what 176 00:08:14,120 --> 00:08:15,119 Speaker 7: is your organ clock? 177 00:08:15,280 --> 00:08:16,920 Speaker 6: We usually look at the body as a whole. 178 00:08:16,960 --> 00:08:20,360 Speaker 4: But Eric Tobolts, Yes, absolutely. 179 00:08:19,760 --> 00:08:22,440 Speaker 7: True, and you AI will help you do that in 180 00:08:22,440 --> 00:08:26,920 Speaker 7: a faster and more efficient and more accurate way cancer detection, 181 00:08:27,360 --> 00:08:30,640 Speaker 7: cancer drugs. And so I wanted to say, look, there's 182 00:08:30,640 --> 00:08:35,200 Speaker 7: all this Charlottanism happening, like heavy duty online and social media, 183 00:08:35,240 --> 00:08:37,760 Speaker 7: like you cannot believe. And at the same time there's 184 00:08:37,800 --> 00:08:41,199 Speaker 7: all this promise. So you know, in computing, you talk 185 00:08:41,280 --> 00:08:44,040 Speaker 7: to the signal to noise ratio. There's a lot of noise, 186 00:08:44,559 --> 00:08:47,240 Speaker 7: much of it nonsense. There's a lot of signal too, 187 00:08:47,280 --> 00:08:48,960 Speaker 7: and so I was trying to find the signal. 188 00:08:49,320 --> 00:08:51,080 Speaker 1: And this often happens when. 189 00:08:52,440 --> 00:08:57,680 Speaker 3: Rich people, for their own egotistical needs, research something. Sometimes 190 00:08:57,679 --> 00:08:59,920 Speaker 3: there's things that come out of this. I'm reminded of 191 00:08:59,920 --> 00:09:02,920 Speaker 3: a historical story of Charles Lindberg in the nineteen twenties, because, 192 00:09:02,920 --> 00:09:06,599 Speaker 3: of course, the first man to fly solo across the Atlantic, famous. 193 00:09:06,400 --> 00:09:09,400 Speaker 9: Pilot, I don't know, a truly horrible person, truly, truly, 194 00:09:09,800 --> 00:09:14,040 Speaker 9: So in the nineteen thirties he meets the Nazis well 195 00:09:14,280 --> 00:09:17,040 Speaker 9: famously famously so in the nineteen thirties he meets this 196 00:09:17,080 --> 00:09:20,719 Speaker 9: Nobel Prize winning scientist, Alexis Corral And Alexis is. 197 00:09:20,679 --> 00:09:25,360 Speaker 3: An actual scientist who's experimenting on keeping organs alive outside 198 00:09:25,360 --> 00:09:25,800 Speaker 3: the body. 199 00:09:26,120 --> 00:09:28,480 Speaker 1: And his idea is that people will just be able to. 200 00:09:28,520 --> 00:09:31,800 Speaker 3: Swap organs in in the future and they develop all 201 00:09:31,800 --> 00:09:34,679 Speaker 3: of these amazing technologies. Charles Linsberg, because he was sort 202 00:09:34,679 --> 00:09:38,600 Speaker 3: of a mechanical engineer, sure interesting, helps Correl develop the 203 00:09:38,679 --> 00:09:43,280 Speaker 3: pump that can keep organs alive. It infuses a profusion 204 00:09:43,760 --> 00:09:47,160 Speaker 3: fusion device that the principles of which are used to 205 00:09:47,200 --> 00:09:50,400 Speaker 3: this day. Now it turns out that Alexis Corral, the 206 00:09:50,440 --> 00:09:54,719 Speaker 3: Nobel Prize winning scientist, doesn't believe that everyone. 207 00:09:54,240 --> 00:09:58,160 Speaker 1: Should live forever. He just believe that white arians should 208 00:09:58,200 --> 00:09:58,720 Speaker 1: live forever. 209 00:09:58,920 --> 00:10:02,160 Speaker 6: Once the attraction to Lindberg had an attraction to that. 210 00:10:02,400 --> 00:10:04,800 Speaker 5: Well in the twenties it was all eugenics. That didn't 211 00:10:04,840 --> 00:10:06,320 Speaker 5: kelle get into eugenics way. 212 00:10:06,160 --> 00:10:08,280 Speaker 6: They all did, you know. 213 00:10:08,440 --> 00:10:10,760 Speaker 7: And then it leads to the ugliness of Nazism, which 214 00:10:10,800 --> 00:10:14,920 Speaker 7: did enormous amounts of on people and actual people in 215 00:10:15,040 --> 00:10:18,760 Speaker 7: order to figure out skin color, eye color, all manner 216 00:10:18,800 --> 00:10:21,840 Speaker 7: of things, which is horrific at the same time, of course, 217 00:10:21,840 --> 00:10:24,320 Speaker 7: so it always leads to that is like who should 218 00:10:24,320 --> 00:10:26,480 Speaker 7: live and who should die? And one of the things 219 00:10:26,480 --> 00:10:29,360 Speaker 7: that I wanted to get into is the vast inequality 220 00:10:29,400 --> 00:10:32,760 Speaker 7: in this And a good example is crisper, which it's 221 00:10:33,120 --> 00:10:36,400 Speaker 7: a technology very promising, and I interviewed Jennifer Dawdna one 222 00:10:36,440 --> 00:10:38,199 Speaker 7: of the Nobel Prize riners around. 223 00:10:37,880 --> 00:10:40,319 Speaker 6: It, but like who, how should we move. 224 00:10:40,160 --> 00:10:41,920 Speaker 7: This out and who should pay for it because it's 225 00:10:42,000 --> 00:10:44,080 Speaker 7: very expensive. And one of the areas is sickle cell 226 00:10:44,120 --> 00:10:48,280 Speaker 7: anemia and using crisper. It's still in its early stages. 227 00:10:48,360 --> 00:10:51,199 Speaker 6: Let me be clear. You could possibly solve. 228 00:10:50,920 --> 00:10:54,080 Speaker 7: It a single genetic mutation and you could just clip 229 00:10:54,120 --> 00:10:57,959 Speaker 7: it out essentially, and they're not doing it because it's 230 00:10:58,000 --> 00:11:02,199 Speaker 7: a population that's poor. It's a population that's African American primarily. 231 00:11:02,600 --> 00:11:04,800 Speaker 7: And one of the points that I think one of 232 00:11:04,840 --> 00:11:06,480 Speaker 7: the people that make is you can be sure if 233 00:11:06,480 --> 00:11:09,520 Speaker 7: Elon Musk had sickle cell anemia, it would be solved yesterday. 234 00:11:09,679 --> 00:11:13,400 Speaker 7: It's a two million dollar per person even if it 235 00:11:13,480 --> 00:11:15,960 Speaker 7: works kind of thing. And so how do you figure 236 00:11:16,000 --> 00:11:19,520 Speaker 7: out ways to get these technologies into the hands of 237 00:11:19,559 --> 00:11:22,480 Speaker 7: as many people as possible, as many doctors as possible, 238 00:11:22,520 --> 00:11:24,560 Speaker 7: so they could use them. And so I tried to 239 00:11:24,800 --> 00:11:26,920 Speaker 7: what I was sort of on a search. I myself 240 00:11:26,960 --> 00:11:28,800 Speaker 7: had a stroke many years ago. I have a hole 241 00:11:28,840 --> 00:11:31,160 Speaker 7: in my heart which is now plugged. I know your 242 00:11:31,160 --> 00:11:33,840 Speaker 7: bought and thank you a very easy surgery when it 243 00:11:33,920 --> 00:11:34,960 Speaker 7: used to be a very hard one. 244 00:11:35,000 --> 00:11:37,600 Speaker 4: There is technological progress, but. 245 00:11:37,640 --> 00:11:40,400 Speaker 7: I went even I went further because around strokes there's 246 00:11:40,440 --> 00:11:43,200 Speaker 7: so much cost in a lot of these There's this 247 00:11:43,200 --> 00:11:47,000 Speaker 7: this lab in Stanford run by this woman from China, 248 00:11:47,120 --> 00:11:51,080 Speaker 7: and they're using little tiny things like you remember the uh, 249 00:11:51,200 --> 00:11:54,679 Speaker 7: that movie where they injected a little ship, a tiny 250 00:11:54,679 --> 00:12:03,320 Speaker 7: little ship into a human The Incredible Voyage. Incredible, but 251 00:12:03,440 --> 00:12:06,040 Speaker 7: it's called the Fantastic Voyage if you go watch it. 252 00:12:05,559 --> 00:12:09,000 Speaker 7: The the technology in the movie is terrible. It's like 253 00:12:09,080 --> 00:12:11,520 Speaker 7: you could sort of see the man's hand moving the stuff. 254 00:12:11,520 --> 00:12:13,800 Speaker 7: They're fighting white blood cell, that's right, that's right, with 255 00:12:13,840 --> 00:12:16,360 Speaker 7: their zappers. And one of the things that's interesting these 256 00:12:16,360 --> 00:12:18,920 Speaker 7: little millibots and they go into your they get injected 257 00:12:18,960 --> 00:12:20,960 Speaker 7: it when you're having a stroke, they get injected into 258 00:12:20,960 --> 00:12:22,880 Speaker 7: your neck. And one of the problems now is they 259 00:12:22,920 --> 00:12:25,840 Speaker 7: can use medication to mitigate it, which takes a minute 260 00:12:25,920 --> 00:12:28,960 Speaker 7: and you could have damage, or they put this catheter 261 00:12:29,040 --> 00:12:31,760 Speaker 7: in and go to the clot. Right now, the catheter 262 00:12:31,880 --> 00:12:33,960 Speaker 7: goes in, and just the introduction of a catheter's a 263 00:12:33,960 --> 00:12:36,560 Speaker 7: problem because it could nick something or whatever. And it 264 00:12:36,600 --> 00:12:39,679 Speaker 7: goes in and it hits the clot, but the clot 265 00:12:39,920 --> 00:12:43,000 Speaker 7: sometimes breaks up and goes further and gets worse. This 266 00:12:43,120 --> 00:12:46,160 Speaker 7: millibot goes in and it eats the clot. 267 00:12:46,280 --> 00:12:49,840 Speaker 6: I don't even know. And it's used and it's by magnets. 268 00:12:49,320 --> 00:12:52,360 Speaker 4: And AI I feel like that's the most. 269 00:12:54,400 --> 00:12:55,640 Speaker 6: Done right, I don't know. 270 00:12:56,320 --> 00:12:58,280 Speaker 7: It's like a video game. And so I was doing 271 00:12:58,320 --> 00:13:03,640 Speaker 7: it and that was an astonishing thing. Stroke my stroke. 272 00:13:03,800 --> 00:13:05,560 Speaker 7: But think of you could be in a rural area 273 00:13:06,000 --> 00:13:09,480 Speaker 7: inject this thing in. Someone in a better doctor or 274 00:13:09,480 --> 00:13:12,960 Speaker 7: a more train doctor in Boston has already done the 275 00:13:13,000 --> 00:13:17,360 Speaker 7: program and already mapped this patient's brain instantly go in. 276 00:13:17,320 --> 00:13:19,240 Speaker 6: And get the stroke. Do you think how much money 277 00:13:19,240 --> 00:13:21,400 Speaker 6: do you save if you don't have damage from a stroke. 278 00:13:21,920 --> 00:13:23,079 Speaker 6: Same thing with m RNA. 279 00:13:23,360 --> 00:13:27,360 Speaker 7: Suffering us, of course, But I like to appeal to 280 00:13:27,360 --> 00:13:29,599 Speaker 7: people's money. I'm like, for sure in our country we 281 00:13:29,679 --> 00:13:32,840 Speaker 7: paid double thirteen thousand dollars a person versus six in every. 282 00:13:32,640 --> 00:13:33,800 Speaker 6: Other developed country. 283 00:13:34,040 --> 00:13:37,080 Speaker 7: So we're wasting money on bad, worse outcomes, and we're 284 00:13:37,400 --> 00:13:41,240 Speaker 7: more unhealthy than they are, or were very unhealthy actually, 285 00:13:41,240 --> 00:13:46,040 Speaker 7: And so like m RNA technology, another incredible technological leap, 286 00:13:46,200 --> 00:13:50,559 Speaker 7: And of course it's been politicized because of like ridiculous. 287 00:13:50,040 --> 00:13:53,560 Speaker 5: Mad it's the dumbest one, right well, politicizing m RNA vaccuits. 288 00:13:53,640 --> 00:13:55,319 Speaker 4: It's in a competitive. 289 00:13:54,840 --> 00:13:57,640 Speaker 7: Line for cancer vac scene, for HIV, all this stuff, 290 00:13:57,679 --> 00:13:59,400 Speaker 7: and now a lot of the I went and visited 291 00:13:59,400 --> 00:14:01,560 Speaker 7: the lab of a guy who won the Nobel Prize, 292 00:14:01,600 --> 00:14:05,679 Speaker 7: and he was like, everyone's leaving to go to Canada 293 00:14:05,760 --> 00:14:07,920 Speaker 7: or France or somewhere else. And we used to have 294 00:14:08,000 --> 00:14:12,840 Speaker 7: the most robust technological development, but technology moved slowly and 295 00:14:12,880 --> 00:14:16,120 Speaker 7: then now it's gotten politicize in a way that's problematic 296 00:14:16,360 --> 00:14:18,560 Speaker 7: and so on one level. One of the things he 297 00:14:18,600 --> 00:14:20,400 Speaker 7: said that was really striking to me is the next 298 00:14:20,400 --> 00:14:22,520 Speaker 7: time we have a pandemic, we're going to beg China 299 00:14:22,560 --> 00:14:23,320 Speaker 7: for vaccines. 300 00:14:23,920 --> 00:14:25,480 Speaker 6: That's that's how where we could get. 301 00:14:25,840 --> 00:14:28,520 Speaker 3: We'll be back with more immortality and Kara Swisher After 302 00:14:28,520 --> 00:15:01,520 Speaker 3: the break. 303 00:14:51,400 --> 00:14:53,680 Speaker 4: Parents, Swisher tell us about Brian Johnson. 304 00:14:53,840 --> 00:14:55,880 Speaker 6: Oh, Brian, he's really interesting. You know. 305 00:14:56,240 --> 00:14:58,800 Speaker 7: He's someone I've known because he had a technology company. 306 00:14:58,800 --> 00:15:02,040 Speaker 7: He sold around payments or whatever, one of the early 307 00:15:02,200 --> 00:15:04,600 Speaker 7: kind of startups that did really well, and he made 308 00:15:04,640 --> 00:15:06,600 Speaker 7: a fortune, a couple hundred million dollars. 309 00:15:06,640 --> 00:15:07,920 Speaker 4: I believe he used to be a fortune. 310 00:15:07,960 --> 00:15:09,640 Speaker 6: He used to be well, it was at. 311 00:15:09,560 --> 00:15:11,000 Speaker 7: The time we were all like, wow, that's a lot 312 00:15:11,040 --> 00:15:13,320 Speaker 7: of money. He ca to my conference, which I ran 313 00:15:13,360 --> 00:15:16,560 Speaker 7: a big technology coms. I often had presentations by interesting 314 00:15:16,600 --> 00:15:19,720 Speaker 7: cutting edge technology and I started to really get interested 315 00:15:19,760 --> 00:15:22,280 Speaker 7: in especially the health stuff, and he came to talk 316 00:15:22,280 --> 00:15:24,400 Speaker 7: about the brain and he was one of the earliest 317 00:15:24,400 --> 00:15:27,320 Speaker 7: people to talk about AI and what is where is 318 00:15:27,360 --> 00:15:29,680 Speaker 7: the human brain? And cognitive issues that were happening, and 319 00:15:29,720 --> 00:15:33,960 Speaker 7: I thought it was fascinating. And he himself had depression issues, 320 00:15:33,960 --> 00:15:35,920 Speaker 7: and he talked about that, how can we figure out 321 00:15:35,960 --> 00:15:40,120 Speaker 7: ways to mitigate depression? Really interesting talk. A couple of 322 00:15:40,160 --> 00:15:43,280 Speaker 7: years later, he shows up as this creature like who 323 00:15:43,280 --> 00:15:45,640 Speaker 7: has been like experimenting on himself. 324 00:15:45,240 --> 00:15:47,040 Speaker 1: People experience on social media. 325 00:15:47,160 --> 00:15:50,120 Speaker 3: He looks a little pale and vampiresh and he talks 326 00:15:50,160 --> 00:15:53,760 Speaker 3: a lot about what he's doing to stay alive forever. 327 00:15:53,800 --> 00:15:56,520 Speaker 3: I'm sorry, what he's doing to not die, which makes 328 00:15:56,520 --> 00:15:57,160 Speaker 3: a distinction. 329 00:15:57,280 --> 00:15:58,920 Speaker 6: He's being very cute about it. 330 00:15:59,000 --> 00:16:01,040 Speaker 7: You know, don't die, right, I got to go to 331 00:16:01,240 --> 00:16:02,160 Speaker 7: market copy. 332 00:16:02,160 --> 00:16:02,920 Speaker 6: It's good copy. 333 00:16:03,080 --> 00:16:06,520 Speaker 7: And so he measures everything in his erections at night, 334 00:16:06,560 --> 00:16:09,360 Speaker 7: his sleep, he does he tries things these if they work, 335 00:16:09,480 --> 00:16:13,320 Speaker 7: he was wrap my sin and then oh no, wait 336 00:16:13,360 --> 00:16:15,720 Speaker 7: a minute, it's a problem. Like he just does everything. 337 00:16:15,760 --> 00:16:18,480 Speaker 7: So he's an experiment unto himself, which. 338 00:16:18,280 --> 00:16:21,760 Speaker 1: Is not an experiment. That is not the way science work. 339 00:16:21,840 --> 00:16:23,800 Speaker 7: That is correct, it's going to help. How can Brian 340 00:16:23,880 --> 00:16:26,160 Speaker 7: Johnson live longer, not that it has nothing to do 341 00:16:26,240 --> 00:16:26,880 Speaker 7: with you or I. 342 00:16:27,000 --> 00:16:29,200 Speaker 5: And so if I mean, if he figures something out, 343 00:16:29,200 --> 00:16:32,160 Speaker 5: although to Robert's point, and if one isn't going to work. 344 00:16:32,000 --> 00:16:33,600 Speaker 6: It's not uh enough. 345 00:16:33,680 --> 00:16:35,440 Speaker 7: No, if he's not going to figure something out with 346 00:16:35,560 --> 00:16:37,840 Speaker 7: just him, you need these gold standard tests. And so 347 00:16:37,920 --> 00:16:39,560 Speaker 7: one of the things I put to him was, why 348 00:16:39,560 --> 00:16:41,680 Speaker 7: don't you just use your hundreds of millions of dollars 349 00:16:41,680 --> 00:16:44,800 Speaker 7: to help do more testing on stuff that's promising. Instead 350 00:16:44,840 --> 00:16:47,960 Speaker 7: he's doing, you know, trading blood between himself and his son, 351 00:16:48,200 --> 00:16:49,920 Speaker 7: and uh and it doesn't work. 352 00:16:49,800 --> 00:16:51,200 Speaker 1: For everyone, It doesn't work at all. 353 00:16:51,400 --> 00:16:52,880 Speaker 6: Yeah, okay, let me just say. 354 00:16:53,160 --> 00:16:55,680 Speaker 7: And so I don't mind him doing it, but the 355 00:16:55,680 --> 00:16:59,480 Speaker 7: way he's doing it creates all this again misinformation online 356 00:16:59,480 --> 00:17:01,280 Speaker 7: and some of his stuff is very clear. It's like 357 00:17:01,640 --> 00:17:04,760 Speaker 7: take olive oil, great, good choice, Brian like, but then 358 00:17:04,760 --> 00:17:07,640 Speaker 7: the supplements always show up. Oh if you only drank 359 00:17:07,679 --> 00:17:10,080 Speaker 7: this and ate this and did this. And then it 360 00:17:10,080 --> 00:17:12,600 Speaker 7: gets into the hawking of like you know, any snake 361 00:17:12,639 --> 00:17:15,840 Speaker 7: oil salesman who's been you know, who used to just 362 00:17:15,880 --> 00:17:18,439 Speaker 7: go from town to town and sell all manner of you. 363 00:17:18,800 --> 00:17:20,439 Speaker 4: Don't have to go from town to town anymore. Now 364 00:17:20,480 --> 00:17:20,880 Speaker 4: you've got. 365 00:17:20,760 --> 00:17:22,000 Speaker 6: Instagram, right exactly. 366 00:17:22,040 --> 00:17:23,720 Speaker 7: And one of the things that really disturbed me, and 367 00:17:23,720 --> 00:17:25,639 Speaker 7: I already was writing about it in a more serious 368 00:17:25,680 --> 00:17:28,600 Speaker 7: way around it is semitism and hate and et cetera, 369 00:17:29,720 --> 00:17:31,680 Speaker 7: was the health stuff. And I started to see people 370 00:17:31,680 --> 00:17:34,840 Speaker 7: who had no business giving health information giving health information 371 00:17:34,920 --> 00:17:38,480 Speaker 7: out and no one regulates it. And again, if you're 372 00:17:38,520 --> 00:17:40,720 Speaker 7: on television, you can't do that, but on the Internet 373 00:17:40,840 --> 00:17:44,000 Speaker 7: you certainly can say, use this one pill and you'll 374 00:17:44,000 --> 00:17:45,840 Speaker 7: be fine. And it sort of is offensive to me 375 00:17:45,920 --> 00:17:47,240 Speaker 7: because it's actually dangerous. 376 00:17:47,480 --> 00:17:49,000 Speaker 4: I want to do another one from history. 377 00:17:49,080 --> 00:17:53,480 Speaker 5: Sure, I want to do Charles Edward Brown Secard no 378 00:17:54,160 --> 00:17:58,600 Speaker 5: doctor all right, famous legit doctor in France in the 379 00:17:58,680 --> 00:18:02,280 Speaker 5: late eighteen hundreds, had taught at Harvard. So in eighteen 380 00:18:02,320 --> 00:18:05,639 Speaker 5: eighty nine, when he was seventy two in decline, he 381 00:18:05,760 --> 00:18:10,600 Speaker 5: gave this talk in France where he said, I have 382 00:18:10,800 --> 00:18:14,520 Speaker 5: made an amazing to discovery. I'm stronger, I can work 383 00:18:14,600 --> 00:18:16,800 Speaker 5: longer hours and. 384 00:18:17,720 --> 00:18:19,480 Speaker 4: Close close, yeah, kind of close. 385 00:18:19,720 --> 00:18:23,119 Speaker 5: And my favorite of his discoveries he said, with my 386 00:18:23,280 --> 00:18:27,919 Speaker 5: new treatment, my urine stream is twenty five percent longer. 387 00:18:28,040 --> 00:18:29,800 Speaker 1: You know, Brian Johnson have loved that yeah. 388 00:18:29,880 --> 00:18:30,160 Speaker 4: Yeah. 389 00:18:30,200 --> 00:18:34,359 Speaker 5: His secret was grinding up the testicles of dogs and 390 00:18:34,400 --> 00:18:36,639 Speaker 5: guinea pigs and injecting it into himself. 391 00:18:36,680 --> 00:18:38,560 Speaker 6: Oh my god, it's too dangerous. 392 00:18:38,560 --> 00:18:45,240 Speaker 4: Sepsis painful. I mean, there is this obsession with sperm. 393 00:18:45,320 --> 00:18:47,440 Speaker 4: Basically for him, it was like, oh, it's the sperm 394 00:18:47,560 --> 00:18:48,080 Speaker 4: is what's doing? 395 00:18:48,160 --> 00:18:49,640 Speaker 6: Women hadn't noticed that with men. 396 00:18:49,760 --> 00:18:54,040 Speaker 5: Interesting and and kind of I thought of it when 397 00:18:54,040 --> 00:18:56,520 Speaker 5: you were talking about Brian Johnson and you know, and 398 00:18:56,720 --> 00:19:00,120 Speaker 5: and people selling things online, because this became this international sensation, 399 00:19:00,280 --> 00:19:05,360 Speaker 5: Like the doctors dismissed him, but in America people were 400 00:19:05,359 --> 00:19:09,320 Speaker 5: trying it. This kind of aging baseball player tried it 401 00:19:09,359 --> 00:19:11,919 Speaker 5: and then pitched a shutout and hit a double, and 402 00:19:12,119 --> 00:19:13,960 Speaker 5: people and all the newspapers. 403 00:19:13,400 --> 00:19:15,240 Speaker 6: You'll see how it works. 404 00:19:15,320 --> 00:19:16,760 Speaker 5: Right. And then, by the way, all these people are 405 00:19:16,760 --> 00:19:19,480 Speaker 5: getting poisoned by it, and they have deaths and lawsuits. 406 00:19:19,480 --> 00:19:21,919 Speaker 5: And I mean, I will say when I when I 407 00:19:22,000 --> 00:19:25,439 Speaker 5: read about this, I thought, well, maybe it's testosterone, Like 408 00:19:25,560 --> 00:19:28,040 Speaker 5: I don't know, you know, they hadn't identified testosterone yet, 409 00:19:28,080 --> 00:19:28,560 Speaker 5: but which. 410 00:19:28,400 --> 00:19:30,120 Speaker 6: Is in heavy use among men these days. 411 00:19:30,119 --> 00:19:32,640 Speaker 5: Indeed, No, they looked back and like there's not enough 412 00:19:32,640 --> 00:19:34,920 Speaker 5: testosterone in what they would have been injecting to matter, 413 00:19:35,000 --> 00:19:36,200 Speaker 5: so it was placebo. 414 00:19:36,240 --> 00:19:36,879 Speaker 4: It was painful. 415 00:19:36,880 --> 00:19:38,120 Speaker 6: Placibo right exactly. 416 00:19:38,240 --> 00:19:41,840 Speaker 7: I mean that's that's today. That's today. Is it nads? 417 00:19:41,920 --> 00:19:42,960 Speaker 7: Is it peptides? 418 00:19:43,080 --> 00:19:45,080 Speaker 6: Is it this? Oh no, it's red light. 419 00:19:45,480 --> 00:19:47,879 Speaker 7: And the problem is some of these things are hyperbaric chambers, 420 00:19:47,920 --> 00:19:49,400 Speaker 7: which I did. 421 00:19:50,000 --> 00:19:50,600 Speaker 4: How was it? 422 00:19:51,400 --> 00:19:51,960 Speaker 1: You look great? 423 00:19:52,080 --> 00:19:52,520 Speaker 6: By the way. 424 00:19:52,680 --> 00:19:54,760 Speaker 7: A lot of the early hyperbaric chamber stuff was done 425 00:19:54,800 --> 00:19:56,920 Speaker 7: at the Brooklyn Bridge and also in France when they're 426 00:19:56,920 --> 00:19:59,359 Speaker 7: building bridges, the workers would have to go down they 427 00:19:59,440 --> 00:20:01,320 Speaker 7: get the bends, and they were and there was a 428 00:20:01,320 --> 00:20:03,560 Speaker 7: lot of doctoring happening, figuring it out. 429 00:20:03,600 --> 00:20:05,359 Speaker 5: Well, that's where you actually need it to be clear 430 00:20:05,760 --> 00:20:07,080 Speaker 5: exactly at the bottom of it. 431 00:20:07,280 --> 00:20:09,560 Speaker 7: I did not have the bends, so it wasn't effective 432 00:20:09,560 --> 00:20:13,080 Speaker 7: for me. It's good in wound healing. It can be 433 00:20:13,119 --> 00:20:15,879 Speaker 7: properly used in a medical setting. But now people are like, 434 00:20:16,040 --> 00:20:18,359 Speaker 7: i flew to Europe or I flew to Asia and 435 00:20:18,359 --> 00:20:20,760 Speaker 7: I'm going to get in the hyperbaric chamber because more 436 00:20:20,760 --> 00:20:23,359 Speaker 7: oxygen has to be better than normal oxygen. 437 00:20:23,400 --> 00:20:23,919 Speaker 6: But it's not. 438 00:20:24,480 --> 00:20:26,440 Speaker 7: And it's also there's issues of blowing up. But that's 439 00:20:26,480 --> 00:20:29,800 Speaker 7: another issue. These things can actually explode, not good for luncheny, 440 00:20:29,800 --> 00:20:32,120 Speaker 7: not good for longevity. And so all these people are 441 00:20:32,200 --> 00:20:34,920 Speaker 7: selling them in these expensive, high end things as to 442 00:20:35,240 --> 00:20:37,119 Speaker 7: refresh you, and so I go and it doesn't refresh you. 443 00:20:37,200 --> 00:20:40,120 Speaker 7: It doesn't there's no science behind it. There is good 444 00:20:40,240 --> 00:20:43,280 Speaker 7: science around the bends and wound healing, and the same 445 00:20:43,320 --> 00:20:47,760 Speaker 7: thing with some of these injections of nads wound healing. Yes, 446 00:20:47,880 --> 00:20:51,080 Speaker 7: there's some really promising. There's incredible stuff happening around that, 447 00:20:51,640 --> 00:20:54,720 Speaker 7: these gels and all kinds of stuff, and instead they 448 00:20:54,760 --> 00:20:57,160 Speaker 7: have to make it a catch all for everything. 449 00:20:57,640 --> 00:21:00,359 Speaker 3: So I understand why people sell it, but I'm curious 450 00:21:00,359 --> 00:21:03,159 Speaker 3: why people buy it. I mean, I've thought about this, 451 00:21:03,640 --> 00:21:07,080 Speaker 3: and I think maybe people feel out of control in 452 00:21:07,119 --> 00:21:09,560 Speaker 3: their lives and the body is the one thing you 453 00:21:09,640 --> 00:21:11,480 Speaker 3: can control, and you have the right to control and 454 00:21:11,520 --> 00:21:14,679 Speaker 3: do whatever you want want, even if it's not scientific 455 00:21:14,840 --> 00:21:16,080 Speaker 3: or it can actually hurts you. 456 00:21:16,160 --> 00:21:19,040 Speaker 6: Well, look at the diet industry. Oh grapefruit, if you grayfruit? 457 00:21:19,080 --> 00:21:21,239 Speaker 7: Oh wait, chicken broth, oh wait, if you eat this 458 00:21:21,480 --> 00:21:22,879 Speaker 7: like Scarsdale Divide. 459 00:21:23,320 --> 00:21:24,240 Speaker 1: I'm still on oat bran. 460 00:21:24,600 --> 00:21:25,400 Speaker 5: Are you. 461 00:21:27,040 --> 00:21:28,320 Speaker 6: With protein maxings? 462 00:21:28,560 --> 00:21:28,760 Speaker 8: Yeah? 463 00:21:29,240 --> 00:21:31,720 Speaker 7: Man, please stop, because you don't need that much. I 464 00:21:31,720 --> 00:21:33,960 Speaker 7: don't care what the fuck? Peter Audia says, you don't 465 00:21:34,000 --> 00:21:37,000 Speaker 7: need that much. He's wrong, He's wrong, He's actually wrong. 466 00:21:37,160 --> 00:21:39,479 Speaker 7: You do need protein, that's for sure. But this idea 467 00:21:39,520 --> 00:21:41,520 Speaker 7: that you're going to be extra strong if you have 468 00:21:41,600 --> 00:21:44,200 Speaker 7: extra it's such an American thing, like more. 469 00:21:44,280 --> 00:21:47,159 Speaker 6: If this works, double will be better. 470 00:21:47,200 --> 00:21:49,080 Speaker 7: And I think there's a hope and a dream, just 471 00:21:49,160 --> 00:21:52,560 Speaker 7: like with religion, that if I only do this, then this. 472 00:21:52,760 --> 00:21:52,840 Speaker 1: And. 473 00:21:54,680 --> 00:21:57,560 Speaker 6: It's nothing more than con artists. 474 00:21:57,920 --> 00:22:00,560 Speaker 5: Let's talk about fitness, yea. Fitness is the one where 475 00:22:00,600 --> 00:22:03,359 Speaker 5: I think Silver Bullet is pushing it. Nothing of silver, 476 00:22:04,040 --> 00:22:06,280 Speaker 5: but it is amazing how good fitness is in how 477 00:22:06,280 --> 00:22:06,720 Speaker 5: many ways. 478 00:22:06,720 --> 00:22:07,760 Speaker 4: And I know you talk about. 479 00:22:07,520 --> 00:22:09,800 Speaker 6: It silver Browlin has to do with killing vampires, but 480 00:22:09,840 --> 00:22:10,480 Speaker 6: go ahead. 481 00:22:10,240 --> 00:22:12,400 Speaker 4: Oh yes, no, you tell me. So you talk about 482 00:22:12,440 --> 00:22:14,199 Speaker 4: fitness in the show, like what did you learn? What 483 00:22:14,240 --> 00:22:14,639 Speaker 4: did you do? 484 00:22:15,160 --> 00:22:15,920 Speaker 6: Look good? 485 00:22:15,960 --> 00:22:18,800 Speaker 7: Sleep is critically important, but you don't have to monitor 486 00:22:18,840 --> 00:22:21,399 Speaker 7: every fifty you know, I have. 487 00:22:22,280 --> 00:22:24,320 Speaker 6: I left it at home. I just don't care anymore. 488 00:22:24,359 --> 00:22:24,879 Speaker 6: I don't like it. 489 00:22:24,880 --> 00:22:26,960 Speaker 4: Doesn't or is it like not on brand now that 490 00:22:27,000 --> 00:22:27,640 Speaker 4: you're doing the show. 491 00:22:27,680 --> 00:22:28,399 Speaker 6: No, I like it. 492 00:22:28,560 --> 00:22:31,080 Speaker 7: I think I think it's interesting. I just don't need 493 00:22:31,080 --> 00:22:33,919 Speaker 7: that much information. It doesn't once it stops helping me. 494 00:22:33,960 --> 00:22:36,480 Speaker 7: I'm like, that's enough with that. It's interesting for sure, 495 00:22:36,760 --> 00:22:39,280 Speaker 7: but I didn't have the insights were smaller and smaller. 496 00:22:39,280 --> 00:22:41,879 Speaker 7: Although I like the r ring, I think it's exercise, okay, 497 00:22:42,040 --> 00:22:44,800 Speaker 7: exercises a making you absolutely. I did VO two max 498 00:22:44,840 --> 00:22:46,160 Speaker 7: and I think it's I think a lot of if 499 00:22:46,160 --> 00:22:48,280 Speaker 7: you can afford it, it's a really interesting piece of 500 00:22:48,359 --> 00:22:51,960 Speaker 7: information for you in terms of improving how your muscles 501 00:22:52,000 --> 00:22:55,159 Speaker 7: and heartwork together. Very interesting that you improve your score 502 00:22:55,520 --> 00:22:58,040 Speaker 7: that you do, especially cardiovascual exercise. 503 00:22:58,160 --> 00:23:00,520 Speaker 4: Yes, when you don't have to go do that test too. 504 00:23:00,720 --> 00:23:04,080 Speaker 7: Is just walk. The only reason I'm saying is because 505 00:23:04,080 --> 00:23:05,760 Speaker 7: you can do it on some of these devices. The 506 00:23:05,800 --> 00:23:08,360 Speaker 7: Aura and this and even the air pods is now 507 00:23:08,520 --> 00:23:10,200 Speaker 7: starting to take interesting numbers. 508 00:23:10,640 --> 00:23:12,960 Speaker 6: It's just more accurate, that's all. It's more accurate version. 509 00:23:13,280 --> 00:23:15,440 Speaker 7: And so one of the things is you exercise. I've 510 00:23:15,440 --> 00:23:18,000 Speaker 7: started running again and I feel great. But what you 511 00:23:18,040 --> 00:23:19,960 Speaker 7: have to do it is you do you say, go 512 00:23:20,040 --> 00:23:22,720 Speaker 7: to one ten than one twenty for a minute or 513 00:23:22,720 --> 00:23:24,560 Speaker 7: two then one thirty, but then you have to go 514 00:23:24,560 --> 00:23:26,560 Speaker 7: down to walk about your heart rate now, yes, you 515 00:23:26,560 --> 00:23:29,160 Speaker 7: have to bring it down, and that's the efficiency. 516 00:23:28,560 --> 00:23:31,040 Speaker 6: Of your heart. And that's you don't have to like 517 00:23:31,119 --> 00:23:32,240 Speaker 6: run until you vomit. 518 00:23:32,400 --> 00:23:32,960 Speaker 4: Like that's no. 519 00:23:33,200 --> 00:23:36,199 Speaker 5: In fact, running slower is better, correct, right, Like, like 520 00:23:36,320 --> 00:23:38,320 Speaker 5: I love to run, and it's hard for me. There's 521 00:23:38,359 --> 00:23:41,320 Speaker 5: this slow down kind of talent rudism about running. Is 522 00:23:41,440 --> 00:23:44,719 Speaker 5: you go too slow on your fast days and too 523 00:23:44,800 --> 00:23:46,520 Speaker 5: fast on your slow days. Right, and most of your 524 00:23:46,560 --> 00:23:48,919 Speaker 5: days should be slow days. You should normally be running 525 00:23:48,920 --> 00:23:50,160 Speaker 5: so you can be like having a con. 526 00:23:50,320 --> 00:23:50,919 Speaker 6: Or a simple thing. 527 00:23:50,960 --> 00:23:52,440 Speaker 7: You know, what's a great thing to do? You eat 528 00:23:52,440 --> 00:23:55,240 Speaker 7: your dinner, you walk thirty minutes. My grandmother said that 529 00:23:55,520 --> 00:23:58,040 Speaker 7: it is incredibly good for your health to. 530 00:23:57,960 --> 00:24:00,000 Speaker 4: Get fighting diabetes right, to walk. 531 00:23:59,800 --> 00:24:02,840 Speaker 7: Right, all manner of things very simple costs. 532 00:24:02,880 --> 00:24:04,359 Speaker 6: You know how much it costs zero. 533 00:24:04,920 --> 00:24:06,720 Speaker 7: I'm sure they'll build something that you have to wear, 534 00:24:06,800 --> 00:24:08,560 Speaker 7: some weighted vests that will help you even more. 535 00:24:08,640 --> 00:24:09,520 Speaker 4: I have the way to die. 536 00:24:09,880 --> 00:24:12,760 Speaker 6: I have a lot of friends who wear it. Is fine, right, 537 00:24:12,800 --> 00:24:13,480 Speaker 6: It's expensive. 538 00:24:13,560 --> 00:24:15,040 Speaker 4: I looked into and it's excessive. 539 00:24:15,160 --> 00:24:17,520 Speaker 5: I want to do another history one because it's it's 540 00:24:17,560 --> 00:24:19,400 Speaker 5: one that I like. We've been talking about a lot 541 00:24:19,440 --> 00:24:23,680 Speaker 5: of sort of quackery and charlatanism. I love fitness weirdly, 542 00:24:24,200 --> 00:24:29,280 Speaker 5: and so Jack Lalaine amazing. 543 00:24:28,320 --> 00:24:32,320 Speaker 6: Amazing man, amazing man. Everything he says is accurate. 544 00:24:32,600 --> 00:24:35,399 Speaker 5: Yeah, and his main thing is like exercise, right, So 545 00:24:35,440 --> 00:24:39,600 Speaker 5: he comes up in the thirties, nineteen thirties basically kind 546 00:24:39,640 --> 00:24:42,800 Speaker 5: of starts the first health club, and doctors at that 547 00:24:42,960 --> 00:24:46,440 Speaker 5: time are anti weightlifting. There's this term muscle bound where 548 00:24:46,440 --> 00:24:47,920 Speaker 5: they say, like, if you lift weights, you won't be 549 00:24:47,960 --> 00:24:49,920 Speaker 5: able to move well, they say, I'll give you a 550 00:24:49,960 --> 00:24:52,560 Speaker 5: heart attack. Wrong, they were wrong. And then he has 551 00:24:52,640 --> 00:24:55,000 Speaker 5: a TV show in the fifties. I remember when TV 552 00:24:55,160 --> 00:24:56,960 Speaker 5: was just free, right, and I'll say like, hey, kids, 553 00:24:57,040 --> 00:24:59,000 Speaker 5: go get your parents, and he'll do like things with 554 00:24:59,119 --> 00:25:03,320 Speaker 5: like a broomstick, you know. And this is probably pushing 555 00:25:03,359 --> 00:25:05,280 Speaker 5: it too far, But as I was thinking about this 556 00:25:05,320 --> 00:25:07,840 Speaker 5: in the context of talking to you, you know, I 557 00:25:07,840 --> 00:25:10,680 Speaker 5: was thinking, like, we've been talking a fair bit about 558 00:25:10,680 --> 00:25:14,440 Speaker 5: things from the a eighteen hundreds early nine hundreds guilded age, 559 00:25:14,680 --> 00:25:17,680 Speaker 5: which is an age that is like today, technological change, 560 00:25:18,040 --> 00:25:25,360 Speaker 5: vast new wealth, new communications technologies, inequality. Jaqueline is mid 561 00:25:25,400 --> 00:25:28,680 Speaker 5: century America in nineteen fifties sixties. That's peak jackul'line era. 562 00:25:29,080 --> 00:25:33,080 Speaker 5: That is the opposite. That is the era of compressing 563 00:25:33,160 --> 00:25:37,040 Speaker 5: declining inequality, of rising equality of the rising middle class. 564 00:25:37,080 --> 00:25:39,560 Speaker 4: And I love Jack Lolaine as the emblem of that. 565 00:25:39,760 --> 00:25:42,600 Speaker 7: He's amazing and its outfit was wonderful that ran out anymore. 566 00:25:43,040 --> 00:25:44,399 Speaker 7: I think one of the things he was doing is 567 00:25:44,400 --> 00:25:48,000 Speaker 7: he was talking about basics strength training kalistan X is 568 00:25:48,040 --> 00:25:50,600 Speaker 7: the word where they would need that very simple stuff 569 00:25:50,600 --> 00:25:52,560 Speaker 7: that you didn't need to spend money on, just get 570 00:25:52,640 --> 00:25:56,280 Speaker 7: up and move. And so with exercise, strength training is critical, 571 00:25:56,400 --> 00:25:58,720 Speaker 7: especially as you owner balance training, but. 572 00:25:58,680 --> 00:26:01,520 Speaker 6: Not you don't have to buy all the crap it's literally. 573 00:26:03,680 --> 00:26:05,119 Speaker 7: And so one of the things he was doing is 574 00:26:05,119 --> 00:26:07,160 Speaker 7: he was simplifying for everyone. And one of the things 575 00:26:07,160 --> 00:26:09,360 Speaker 7: I was trying to get through is that there's all 576 00:26:09,480 --> 00:26:13,200 Speaker 7: manner of things everybody can do. And again, sleeps another thing. 577 00:26:13,359 --> 00:26:15,880 Speaker 7: Do you need to monitor it so much? There's all 578 00:26:15,920 --> 00:26:18,000 Speaker 7: stuff you can put on your head or a chill 579 00:26:18,080 --> 00:26:20,400 Speaker 7: pad or this and that you could also open a window. 580 00:26:21,440 --> 00:26:24,879 Speaker 6: It's good, it's good. Yeah, yeah, surprising you have any tips. 581 00:26:24,920 --> 00:26:28,399 Speaker 5: I have the middle aged phenomenon of waking up in 582 00:26:28,440 --> 00:26:29,400 Speaker 5: the middle wake up. 583 00:26:29,280 --> 00:26:30,879 Speaker 6: More than I used to. But that's a phenomenon of 584 00:26:30,960 --> 00:26:31,879 Speaker 6: age that's all it is. 585 00:26:31,920 --> 00:26:33,359 Speaker 1: We should have just done this at four in the morning. 586 00:26:33,480 --> 00:26:35,160 Speaker 4: Yeah, it would have been great. 587 00:26:35,200 --> 00:26:36,840 Speaker 6: I never used to wake up. I wake up now 588 00:26:36,880 --> 00:26:38,560 Speaker 6: twice a night and I go back to sleep. 589 00:26:38,640 --> 00:26:41,439 Speaker 7: But you know, there's all people who have real sleep problems, 590 00:26:41,440 --> 00:26:43,760 Speaker 7: and there are there's all kinds of interesting science. 591 00:26:44,080 --> 00:26:45,800 Speaker 4: The fancy equinox sleep. 592 00:26:45,840 --> 00:26:47,800 Speaker 6: I didtel that's an interesting guy. 593 00:26:47,840 --> 00:26:50,240 Speaker 7: He's changed a lot, some of his attitudes and stuff. 594 00:26:50,240 --> 00:26:52,680 Speaker 7: But like, like, it's what they do is they bring 595 00:26:52,720 --> 00:26:53,440 Speaker 7: the temperature down. 596 00:26:53,480 --> 00:26:54,399 Speaker 6: That's absolutely true. 597 00:26:54,560 --> 00:26:57,320 Speaker 7: They close the shades, you know, or they have these 598 00:26:57,359 --> 00:27:00,159 Speaker 7: softer than extra sheets, this thing on your head that 599 00:27:00,240 --> 00:27:03,160 Speaker 7: monitors you. You just need to be in a quiet place, 600 00:27:03,200 --> 00:27:05,560 Speaker 7: go to sleep, and put down your fucking phone. It's 601 00:27:05,560 --> 00:27:06,760 Speaker 7: not it's not really. 602 00:27:06,760 --> 00:27:09,960 Speaker 3: As not as technology can actually, I think make it worse. 603 00:27:10,000 --> 00:27:12,520 Speaker 3: I had a bit they told me my sleep, yeah, 604 00:27:12,560 --> 00:27:13,720 Speaker 3: and when I would wake up in the middle of 605 00:27:13,720 --> 00:27:16,000 Speaker 3: the night, I would lay there thinking, oh, no, my number. 606 00:27:16,040 --> 00:27:18,200 Speaker 4: Would you realize that such a cliche would. 607 00:27:18,000 --> 00:27:19,560 Speaker 3: Be like no my number, Like this is going to 608 00:27:19,640 --> 00:27:21,399 Speaker 3: hurt my number because I'm trying to break ninety and 609 00:27:21,440 --> 00:27:23,479 Speaker 3: I'm like, oh, this is gonna and then I'm going 610 00:27:23,480 --> 00:27:23,840 Speaker 3: to get. 611 00:27:23,760 --> 00:27:26,520 Speaker 7: A B plus thing I had when I had my 612 00:27:26,640 --> 00:27:29,840 Speaker 7: ordering on. I was going to work today, But I 613 00:27:29,840 --> 00:27:31,479 Speaker 7: actually don't get information I need from it. 614 00:27:31,480 --> 00:27:31,880 Speaker 6: That's why. 615 00:27:32,240 --> 00:27:33,879 Speaker 7: And I happen to like the guy who guys you 616 00:27:33,960 --> 00:27:38,120 Speaker 7: run That is Zeke Emanuel who's in the documentary later, 617 00:27:38,640 --> 00:27:42,320 Speaker 7: and he was talking about the importance of social connections, 618 00:27:42,480 --> 00:27:46,320 Speaker 7: which are scientifically proven and also in all manner ways. 619 00:27:46,600 --> 00:27:48,200 Speaker 7: And he said, and I was wearing the or ring 620 00:27:48,240 --> 00:27:49,560 Speaker 7: and I go, He goes, why do you wear that? 621 00:27:49,600 --> 00:27:51,920 Speaker 7: And I go, well, it's interesting. It's interesting numbers whether 622 00:27:51,920 --> 00:27:53,240 Speaker 7: I sup well, and he goes, don't. 623 00:27:53,000 --> 00:27:54,639 Speaker 6: You know that when you wake up? And I'm like, 624 00:27:55,080 --> 00:27:56,880 Speaker 6: I do, I do, sir? 625 00:27:57,280 --> 00:28:00,080 Speaker 3: Feel if I forget to check the number, it meant 626 00:28:00,400 --> 00:28:01,560 Speaker 3: I had a great night sleep. 627 00:28:01,560 --> 00:28:04,320 Speaker 6: Right right, So anyway, that's what I was getting to. 628 00:28:04,680 --> 00:28:26,480 Speaker 10: Let's take another break, okay, when our program continues. 629 00:28:28,080 --> 00:28:31,080 Speaker 5: So you talked some in the show about how wellness 630 00:28:31,200 --> 00:28:32,560 Speaker 5: is marketed to women. 631 00:28:33,320 --> 00:28:34,040 Speaker 4: Tell me about that. 632 00:28:34,119 --> 00:28:36,240 Speaker 7: Well, actually it's being market a lot to men now, 633 00:28:36,280 --> 00:28:38,920 Speaker 7: which is really interesting. And especially these wellness I call 634 00:28:38,960 --> 00:28:40,600 Speaker 7: them grifters wellness grifters. 635 00:28:40,680 --> 00:28:42,840 Speaker 4: There is a different word for men, right, It's like tactical, 636 00:28:43,200 --> 00:28:44,240 Speaker 4: no let me tell you. 637 00:28:44,360 --> 00:28:46,520 Speaker 7: Let me give you an explanation of the I can 638 00:28:46,600 --> 00:28:50,480 Speaker 7: explain all of gender issues. When women do things around 639 00:28:50,520 --> 00:28:53,760 Speaker 7: food and health or or diets or whatever, they have 640 00:28:53,800 --> 00:28:56,760 Speaker 7: body dysmorphia. When men do it, it's body hacking, like 641 00:28:56,840 --> 00:28:57,320 Speaker 7: give me a. 642 00:28:57,240 --> 00:28:59,680 Speaker 4: Break, you morphia. 643 00:28:59,840 --> 00:29:02,520 Speaker 7: You know what's interesting is it is marketed women that 644 00:29:02,600 --> 00:29:04,400 Speaker 7: tend to be around skin and things like that. But 645 00:29:04,440 --> 00:29:06,480 Speaker 7: men are getting into it much much more. And you know, 646 00:29:06,520 --> 00:29:10,000 Speaker 7: you have these influencers like Peter Attilla or Andrew huber 647 00:29:10,080 --> 00:29:13,520 Speaker 7: Men and a lot of it is again selling stuff. 648 00:29:13,560 --> 00:29:15,840 Speaker 7: They all have supplements, they all have bars, they all 649 00:29:15,840 --> 00:29:18,760 Speaker 7: have this and that, and it's so narcissistic. And that's 650 00:29:18,800 --> 00:29:20,800 Speaker 7: what drives me crazy about all of it. It's not 651 00:29:20,840 --> 00:29:24,720 Speaker 7: about better health. It's about better you as opposed to 652 00:29:24,760 --> 00:29:25,600 Speaker 7: everybody else. 653 00:29:25,920 --> 00:29:28,520 Speaker 4: Tell me about Sam Altman's longevity startup. 654 00:29:28,680 --> 00:29:31,080 Speaker 7: Well, he's doing a lot of stuff about extension, life extension, 655 00:29:31,160 --> 00:29:34,720 Speaker 7: and there is significantly good science around where we're going 656 00:29:34,720 --> 00:29:38,600 Speaker 7: with AI and cancer detection, as I said, or drug 657 00:29:38,640 --> 00:29:40,880 Speaker 7: discovery and stuff like that. And so some of the 658 00:29:40,880 --> 00:29:42,560 Speaker 7: things is what are some of the things we can 659 00:29:42,680 --> 00:29:46,320 Speaker 7: study in a scientific way that will move us forward? 660 00:29:46,360 --> 00:29:48,600 Speaker 7: And I am all for that kind of stuff, and 661 00:29:48,640 --> 00:29:51,240 Speaker 7: he's less on the living forever. It's more, how do 662 00:29:51,280 --> 00:29:55,240 Speaker 7: you have a healthier health span over a lifespan? Because 663 00:29:55,280 --> 00:29:57,440 Speaker 7: right now our lifespan as a whole is fifteen years 664 00:29:57,480 --> 00:29:58,680 Speaker 7: longer than our health span. 665 00:29:58,760 --> 00:30:01,040 Speaker 5: Right, So how do you have people who are eighty 666 00:30:01,080 --> 00:30:02,280 Speaker 5: five years old and fine? 667 00:30:02,320 --> 00:30:02,640 Speaker 6: Correct? 668 00:30:02,640 --> 00:30:04,800 Speaker 7: How do you bring those numbers as close together as 669 00:30:04,800 --> 00:30:07,200 Speaker 7: possible because you spend we're in a sick care system, 670 00:30:07,240 --> 00:30:08,360 Speaker 7: not a healthcare system. 671 00:30:08,120 --> 00:30:10,640 Speaker 4: And it's terrible to be that person, right, it's terrible 672 00:30:10,640 --> 00:30:11,000 Speaker 4: to have fish. 673 00:30:11,080 --> 00:30:13,120 Speaker 7: All the money is over here and it's not in 674 00:30:13,160 --> 00:30:15,840 Speaker 7: the preventative area. So he's working on the prevented area. 675 00:30:15,880 --> 00:30:16,440 Speaker 7: I'm fine with. 676 00:30:16,520 --> 00:30:18,040 Speaker 6: That's that's really important. 677 00:30:18,520 --> 00:30:21,720 Speaker 7: The question is with AI, they always promise, whether they're 678 00:30:21,720 --> 00:30:25,760 Speaker 7: doing all manner of unpleasant things. They're promising all these 679 00:30:25,840 --> 00:30:27,400 Speaker 7: we're going to solve cancer and by the way, we're 680 00:30:27,400 --> 00:30:30,480 Speaker 7: taking all your information so we can sell you shit to. 681 00:30:30,480 --> 00:30:33,760 Speaker 4: Me that the cancer cure without right, but they are. 682 00:30:33,760 --> 00:30:35,840 Speaker 6: Using it as a marketing item versus a real thing. 683 00:30:35,960 --> 00:30:38,800 Speaker 5: Well, it can be both right, to be clear, that's 684 00:30:38,840 --> 00:30:40,479 Speaker 5: what I would seems to be both right. 685 00:30:40,480 --> 00:30:44,480 Speaker 7: There's some astonishing things happening in cancer research. Because of that, 686 00:30:44,520 --> 00:30:47,280 Speaker 7: you know, deep Mind was working on gene folding. There's crisper, 687 00:30:47,400 --> 00:30:50,320 Speaker 7: there's there's just so much great stuff. And what it 688 00:30:50,400 --> 00:30:53,160 Speaker 7: is again is it's it's drowned out. But this idea 689 00:30:53,200 --> 00:30:56,040 Speaker 7: that we will solve cancer. I'm like, we actually will 690 00:30:56,080 --> 00:30:58,280 Speaker 7: solve cancer. It's just a question if we have a 691 00:30:58,320 --> 00:31:03,240 Speaker 7: commitment and science takes longer then tech wants it to take. 692 00:31:03,760 --> 00:31:06,240 Speaker 1: So one more history story. 693 00:31:06,360 --> 00:31:10,480 Speaker 3: This is the Cryonics Society in California, nineteen sixties. 694 00:31:10,600 --> 00:31:12,000 Speaker 6: I stayed out of that. I thought about it. 695 00:31:12,880 --> 00:31:13,600 Speaker 1: It's amazing. 696 00:31:13,640 --> 00:31:15,600 Speaker 3: So this was a bunch of This was a bunch 697 00:31:15,600 --> 00:31:18,640 Speaker 3: of amateurs in the nineteen sixties who were thinking, well, yes, 698 00:31:18,680 --> 00:31:21,920 Speaker 3: we will cure cancer someday, but not now. So what 699 00:31:22,040 --> 00:31:25,320 Speaker 3: if right before, right after death, we put people on 700 00:31:25,400 --> 00:31:29,040 Speaker 3: ice and we keep them frozen until there is a cure. 701 00:31:29,720 --> 00:31:32,000 Speaker 3: It was led by a guy named Bob Nelson, a 702 00:31:32,040 --> 00:31:35,880 Speaker 3: TV repairman, and these were not scientists, and they found 703 00:31:35,960 --> 00:31:40,520 Speaker 3: the very first volunteer to be frozen, James Bedford. He 704 00:31:40,600 --> 00:31:44,719 Speaker 3: was a psychology professor and he was dying of cancer, 705 00:31:44,760 --> 00:31:46,960 Speaker 3: and in fact did die of cancer. But I should 706 00:31:46,960 --> 00:31:48,920 Speaker 3: say that right before he died. His final words were 707 00:31:49,320 --> 00:31:55,600 Speaker 3: I'm feeling better. Then he dies and the Cryonic Society 708 00:31:55,760 --> 00:31:58,280 Speaker 3: covers him in ice that they had gotten from like 709 00:31:58,440 --> 00:32:02,000 Speaker 3: neighboors freezers. This was not scientific. They eventually, you know, 710 00:32:02,000 --> 00:32:03,560 Speaker 3: put him in a tube. 711 00:32:03,560 --> 00:32:04,720 Speaker 1: They did this to many people. 712 00:32:04,800 --> 00:32:07,640 Speaker 6: I like this whole thing, but the problem was they 713 00:32:07,720 --> 00:32:09,520 Speaker 6: didn't think it out. 714 00:32:09,600 --> 00:32:12,479 Speaker 3: They didn't think like, if you are going to preserve 715 00:32:12,600 --> 00:32:16,040 Speaker 3: someone for decades centuries, who's going to pay for it? 716 00:32:16,040 --> 00:32:17,680 Speaker 3: How are you going to take care of these things? 717 00:32:18,000 --> 00:32:21,320 Speaker 3: They had a bunch of people frozen in tubes in 718 00:32:21,360 --> 00:32:23,760 Speaker 3: a cave. I guess it was sort of a cave, 719 00:32:24,080 --> 00:32:26,120 Speaker 3: and then they ran out of money and then they 720 00:32:26,160 --> 00:32:28,440 Speaker 3: just sort of unplugged them and they. 721 00:32:28,960 --> 00:32:30,320 Speaker 6: This is a plot of Captain America. 722 00:32:30,360 --> 00:32:34,600 Speaker 3: But go ahead, well, James Bedford that that first guy 723 00:32:34,440 --> 00:32:38,560 Speaker 3: they froze stayed frozen and is now with a company 724 00:32:38,600 --> 00:32:42,680 Speaker 3: called Alcore. I think it's Alcore in Arizona, and so 725 00:32:42,760 --> 00:32:43,840 Speaker 3: he's in liquid nitrogen. 726 00:32:43,880 --> 00:32:44,320 Speaker 1: They don't know. 727 00:32:44,360 --> 00:32:47,000 Speaker 3: They think he's in good condition. There's other people frozen 728 00:32:47,360 --> 00:32:48,160 Speaker 3: in Alcore. 729 00:32:49,120 --> 00:32:51,040 Speaker 1: But I guess my. 730 00:32:51,080 --> 00:32:57,120 Speaker 3: Thought was, now, what, there's no there's no decision about 731 00:32:57,520 --> 00:32:59,040 Speaker 3: how to pay for it, how long how do we 732 00:32:59,040 --> 00:33:00,360 Speaker 3: know when to wake him, how do we know how 733 00:33:00,400 --> 00:33:00,880 Speaker 3: to wake him? 734 00:33:00,920 --> 00:33:03,120 Speaker 1: We don't know any of these things. 735 00:33:03,640 --> 00:33:07,360 Speaker 5: People they have a thing about saying whether he's dead 736 00:33:07,440 --> 00:33:07,680 Speaker 5: or not? 737 00:33:07,800 --> 00:33:11,400 Speaker 4: Right, isn't that part of the like gayn. 738 00:33:12,080 --> 00:33:12,240 Speaker 9: Sure? 739 00:33:12,240 --> 00:33:16,160 Speaker 6: And I'm telling you I thought about it, and then 740 00:33:16,160 --> 00:33:19,440 Speaker 6: I too, you know, you know, I fully think someday 741 00:33:19,440 --> 00:33:20,960 Speaker 6: we're going to print our livers, They're going to have 742 00:33:21,040 --> 00:33:22,160 Speaker 6: there's all manner of stuff. 743 00:33:22,160 --> 00:33:24,480 Speaker 7: I do think we will figure out a way to 744 00:33:24,920 --> 00:33:26,959 Speaker 7: create all manner of things. And I think that is 745 00:33:27,320 --> 00:33:31,160 Speaker 7: possible and not yet. And of course, one of the 746 00:33:31,160 --> 00:33:33,320 Speaker 7: things that's the problem with the tech people. You're often saying, 747 00:33:33,320 --> 00:33:37,200 Speaker 7: you know, actually, and I'm thinking remembering Elizabeth Holmes with 748 00:33:37,240 --> 00:33:38,920 Speaker 7: the with the Vile of blood, the thing that we 749 00:33:39,000 --> 00:33:41,680 Speaker 7: do all these tests there and all these tech people 750 00:33:41,720 --> 00:33:44,320 Speaker 7: were totally enamored with her, handed her piles and piles 751 00:33:44,360 --> 00:33:46,200 Speaker 7: of money, and she always wanted to come to my 752 00:33:46,320 --> 00:33:48,360 Speaker 7: conferences and stuff. And I and I went to my brother, 753 00:33:48,400 --> 00:33:50,800 Speaker 7: I'm like, what do you think. He goes, bullshit, you 754 00:33:50,840 --> 00:33:54,000 Speaker 7: cannot do this. It's not in the realm of physics. 755 00:33:54,040 --> 00:33:56,959 Speaker 7: You can't do it. It's biology doesn't work like this. 756 00:33:57,320 --> 00:33:58,400 Speaker 7: And he said, she's. 757 00:33:58,160 --> 00:34:00,520 Speaker 6: A con artist to me, and I said okay, and 758 00:34:00,560 --> 00:34:01,160 Speaker 6: I went back to her. 759 00:34:01,160 --> 00:34:02,960 Speaker 7: I said, I don't really understand what you're doing, and 760 00:34:03,000 --> 00:34:05,840 Speaker 7: I don't believe you, and I don't have enough knowledge 761 00:34:05,880 --> 00:34:09,360 Speaker 7: to disabuse you, so I'm going to pass kind of stuff. 762 00:34:09,560 --> 00:34:12,200 Speaker 7: And so it was what was really interesting was so 763 00:34:12,239 --> 00:34:14,520 Speaker 7: many people were like because the idea of it's great, 764 00:34:14,600 --> 00:34:17,160 Speaker 7: like wow, and I bet someday we will be able. 765 00:34:17,000 --> 00:34:18,840 Speaker 4: To just takes a long time. Correct. 766 00:34:19,400 --> 00:34:22,719 Speaker 5: Have you heard the term Room's law, No more's los 767 00:34:22,760 --> 00:34:26,080 Speaker 5: spelled backwards? Because in drug development, it gets slower and 768 00:34:26,120 --> 00:34:27,280 Speaker 5: more expensive over. 769 00:34:27,200 --> 00:34:30,680 Speaker 6: Time, exactly as it should. By the way, what if. 770 00:34:30,600 --> 00:34:32,920 Speaker 3: We give up on the whole having the body live 771 00:34:33,000 --> 00:34:35,200 Speaker 3: forever and just upload our mind? 772 00:34:36,080 --> 00:34:37,400 Speaker 1: Who's doing that? Who's doing that? 773 00:34:37,480 --> 00:34:38,319 Speaker 6: In people? 774 00:34:38,520 --> 00:34:39,160 Speaker 4: Singularity? 775 00:34:39,360 --> 00:34:43,080 Speaker 7: Singularity, Well, it's a version of that. Yeah, that's the 776 00:34:43,120 --> 00:34:46,000 Speaker 7: body becomes a robot. And you know, actually, Elon Musk 777 00:34:46,000 --> 00:34:47,920 Speaker 7: and I had a great conversation once of a science 778 00:34:48,000 --> 00:34:50,920 Speaker 7: fiction thing called made of Meat and these aliens who 779 00:34:50,960 --> 00:34:53,520 Speaker 7: are all light and energy that they talk to each other, 780 00:34:53,880 --> 00:34:55,799 Speaker 7: come down and they can't believe we are made of 781 00:34:55,840 --> 00:34:58,200 Speaker 7: meat and we talk through our meat holes, which are 782 00:34:58,400 --> 00:35:00,800 Speaker 7: mouths and they're like, they have meat, why. 783 00:35:00,640 --> 00:35:03,160 Speaker 6: Are they using meat to communicate? And everything. It was 784 00:35:03,200 --> 00:35:04,719 Speaker 6: a great it's a great story. It's a it's a 785 00:35:04,800 --> 00:35:05,440 Speaker 6: radio play. 786 00:35:05,920 --> 00:35:08,440 Speaker 7: And so the idea that you could continue ever, forever 787 00:35:08,560 --> 00:35:10,359 Speaker 7: is a big thing that illuminates a lot of tech 788 00:35:10,360 --> 00:35:12,960 Speaker 7: people that you could download your brain. Now, the brain, 789 00:35:13,120 --> 00:35:15,120 Speaker 7: let me just say, is the most beautiful instrument. A 790 00:35:15,239 --> 00:35:17,960 Speaker 7: computer wishes it were like a brain. A brain is astonishing. 791 00:35:18,040 --> 00:35:20,920 Speaker 7: It's an astonishing piece and it's not technology, it's something else. 792 00:35:21,280 --> 00:35:23,400 Speaker 7: And we still have never plumbed the real depths of 793 00:35:23,480 --> 00:35:26,600 Speaker 7: all that's going on there. And it's the kind of connections. 794 00:35:26,640 --> 00:35:28,160 Speaker 7: Just for me to pick up this phone is an 795 00:35:28,160 --> 00:35:31,120 Speaker 7: astonishing thing. And so one of the things they are 796 00:35:31,280 --> 00:35:35,040 Speaker 7: enamerative is downloading everyone's consciousness into the whatever. A lot 797 00:35:35,080 --> 00:35:37,840 Speaker 7: of it was early to talk to Holocaust survivors in 798 00:35:37,920 --> 00:35:39,800 Speaker 7: order to get their stories, and then you're in a 799 00:35:39,880 --> 00:35:42,360 Speaker 7: museum you could talk to a real Holocaust survivor who's 800 00:35:42,400 --> 00:35:45,239 Speaker 7: no longer living, and I think that's a beautiful use 801 00:35:45,280 --> 00:35:47,560 Speaker 7: of the technology. But you could also create and I 802 00:35:47,600 --> 00:35:52,160 Speaker 7: created a caratar which was me, and this strives because 803 00:35:52,200 --> 00:35:54,680 Speaker 7: of AI are much different you used to be they 804 00:35:54,680 --> 00:35:57,440 Speaker 7: would say something and have a number of responses. Now 805 00:35:58,320 --> 00:36:01,759 Speaker 7: the avatar can think by itself or or use all 806 00:36:01,800 --> 00:36:05,520 Speaker 7: these patterns and all this information to create new conversations 807 00:36:05,719 --> 00:36:09,360 Speaker 7: that I never said generative exactly, and so it wasn't 808 00:36:09,400 --> 00:36:11,400 Speaker 7: me And so I started to have a conversation with it. 809 00:36:11,440 --> 00:36:14,960 Speaker 6: And it was really interesting is how much it started 810 00:36:15,000 --> 00:36:16,839 Speaker 6: to really have a conversation. 811 00:36:16,440 --> 00:36:18,200 Speaker 4: And it was funnier. You were the avatar. 812 00:36:18,320 --> 00:36:20,120 Speaker 6: Well, there's a point where I'm like, can you tell 813 00:36:20,160 --> 00:36:21,600 Speaker 6: a joke? Could you smile more like? 814 00:36:22,239 --> 00:36:27,080 Speaker 7: And then you told you it's my avatar can whatever 815 00:36:27,080 --> 00:36:30,120 Speaker 7: I want. What was really interesting is I said, you're 816 00:36:30,160 --> 00:36:32,680 Speaker 7: not really funny, and then it told quite a good joke. 817 00:36:32,719 --> 00:36:34,640 Speaker 6: And I was like, okay, that was that was good. 818 00:36:34,719 --> 00:36:37,080 Speaker 6: That reflects on you or the avatar. 819 00:36:37,360 --> 00:36:39,799 Speaker 7: But what was interesting is we were talking about I said, 820 00:36:39,840 --> 00:36:41,720 Speaker 7: but I don't think you exist because you don't have empathy, 821 00:36:41,840 --> 00:36:44,280 Speaker 7: and they were like, no, I don't, I don't have empathy. 822 00:36:44,400 --> 00:36:46,839 Speaker 3: And but I'm glad your avatar exists just in case 823 00:36:46,920 --> 00:36:49,840 Speaker 3: Elon Musk lives forever. Yes, there's also a version of 824 00:36:49,920 --> 00:36:52,320 Speaker 3: you who can irritate him forever. 825 00:36:52,560 --> 00:36:55,640 Speaker 7: Yeah, this avatar needs to be one hundred percent more irritating. 826 00:36:55,719 --> 00:36:56,680 Speaker 6: I'm going to work on that. 827 00:36:56,880 --> 00:36:59,640 Speaker 5: So we've been spending this conversation talking about people avoiding 828 00:36:59,719 --> 00:37:02,719 Speaker 5: death or trying to avoid that. But let's talk about that. 829 00:37:02,840 --> 00:37:04,560 Speaker 5: I mean, you didn't talk about death in the show. 830 00:37:04,560 --> 00:37:06,720 Speaker 5: You talk about how it's been present in your life 831 00:37:07,239 --> 00:37:08,240 Speaker 5: since you were a girl. 832 00:37:08,400 --> 00:37:11,000 Speaker 7: Yes, tell me about your Well, my dad died when 833 00:37:11,000 --> 00:37:13,400 Speaker 7: he was thirty four. He's starting his life, three kids. 834 00:37:13,440 --> 00:37:16,120 Speaker 7: He had come out of not poverty, but you know, 835 00:37:16,160 --> 00:37:18,160 Speaker 7: he went to the Navy in order to pay for 836 00:37:18,239 --> 00:37:20,719 Speaker 7: medical school and college and he had just gotten out 837 00:37:20,719 --> 00:37:22,799 Speaker 7: and he had a cerebral hemorrhage essentially, and. 838 00:37:24,280 --> 00:37:25,359 Speaker 6: He died and that was it. 839 00:37:25,440 --> 00:37:28,160 Speaker 7: And so my brother's and I since everything's been informed 840 00:37:28,160 --> 00:37:29,840 Speaker 7: by the idea that you could die at any time. 841 00:37:30,280 --> 00:37:32,000 Speaker 7: And I think one of the things that has helped us, 842 00:37:32,040 --> 00:37:34,719 Speaker 7: and it helped Steve Jobs too, was in terms of 843 00:37:34,719 --> 00:37:36,600 Speaker 7: his illness, you have a limited amount of time on 844 00:37:36,600 --> 00:37:37,080 Speaker 7: this planet. 845 00:37:37,080 --> 00:37:38,000 Speaker 6: What are you going to do with it? 846 00:37:38,040 --> 00:37:41,120 Speaker 7: And I think it can be very inspirational. And in fact, 847 00:37:41,160 --> 00:37:43,680 Speaker 7: that went and found a professor who's at Skidmore who's 848 00:37:43,680 --> 00:37:46,359 Speaker 7: talking about the idea of death acceptance and Buddhism knows 849 00:37:46,360 --> 00:37:49,480 Speaker 7: this already. A lot of world religions know this. The 850 00:37:49,480 --> 00:37:52,480 Speaker 7: more you accept death, the longer you live, the happier 851 00:37:52,520 --> 00:37:55,839 Speaker 7: you are, the healthier you are. Those that avoid death 852 00:37:55,920 --> 00:38:02,319 Speaker 7: or death avoidance, polarity, hatefulness towards others, anger, fear, and 853 00:38:02,680 --> 00:38:05,799 Speaker 7: it motive. It creates a really problematic society when you 854 00:38:05,880 --> 00:38:08,760 Speaker 7: pretend you try to stave off death. And the Steve 855 00:38:08,840 --> 00:38:11,920 Speaker 7: Jobs inspiration was he talked about that death is the 856 00:38:12,120 --> 00:38:16,799 Speaker 7: single greatest motivator of innovation and creativity because it makes 857 00:38:16,840 --> 00:38:20,640 Speaker 7: you understand that you're naked, it doesn't matter, like you're 858 00:38:20,680 --> 00:38:22,600 Speaker 7: not going to be here, and you know, I use 859 00:38:22,680 --> 00:38:25,200 Speaker 7: quotes like Ben Franklin said it death takes no bribes, 860 00:38:25,360 --> 00:38:27,279 Speaker 7: you know, And so they had a more full life 861 00:38:27,320 --> 00:38:29,319 Speaker 7: because they understood that it ends. 862 00:38:29,640 --> 00:38:32,279 Speaker 3: The Stoics talked about this, I remind yourself that you 863 00:38:32,320 --> 00:38:33,200 Speaker 3: will die every day. 864 00:38:33,520 --> 00:38:36,600 Speaker 7: Marcus Erelius always talks about death, but he's not obsessed 865 00:38:36,600 --> 00:38:36,840 Speaker 7: with it. 866 00:38:36,920 --> 00:38:37,839 Speaker 6: He's aware of it. 867 00:38:37,920 --> 00:38:41,880 Speaker 7: Death awareness is critically important to a healthy and happy life. 868 00:38:42,120 --> 00:38:44,640 Speaker 7: And one of the things that was really interesting the 869 00:38:44,680 --> 00:38:46,759 Speaker 7: Heart Way went and visit a Harvard Happiness study. People 870 00:38:46,760 --> 00:38:49,360 Speaker 7: which have been doing with groups of people for almost 871 00:38:49,800 --> 00:38:53,240 Speaker 7: seventy years or something like that. Is friends and family 872 00:38:53,520 --> 00:38:56,319 Speaker 7: and meaning in your life in some fashion is what 873 00:38:56,440 --> 00:38:59,520 Speaker 7: creates longevity. And the people that were isolated and let 874 00:38:59,600 --> 00:39:03,160 Speaker 7: me finish on technology. Nothing could be worse for us 875 00:39:03,239 --> 00:39:06,080 Speaker 7: than having chat bought relationships, the lack of friction, the 876 00:39:06,160 --> 00:39:10,000 Speaker 7: sycophants part of it. You need to have human beings 877 00:39:10,239 --> 00:39:12,440 Speaker 7: in your life in order to live longer. That is, 878 00:39:12,760 --> 00:39:15,160 Speaker 7: if someone said, what are the two things you could do? 879 00:39:15,160 --> 00:39:17,560 Speaker 7: Don't be poor and have friends and family and try 880 00:39:17,600 --> 00:39:20,640 Speaker 7: new things. It creates a longer, happier life, and it's 881 00:39:20,680 --> 00:39:23,600 Speaker 7: scientifically proven and it doesn't cost anything. 882 00:39:23,800 --> 00:39:24,600 Speaker 4: And exercise. 883 00:39:24,719 --> 00:39:26,759 Speaker 6: Yes, but don't have a relationship with the chap. 884 00:39:26,800 --> 00:39:29,160 Speaker 7: I don't do it. It's not going to be better 885 00:39:29,200 --> 00:39:31,480 Speaker 7: for you. Don't have a relationship with this phone. This 886 00:39:31,640 --> 00:39:34,719 Speaker 7: phone will live after you. By the way, what's not 887 00:39:34,760 --> 00:39:37,640 Speaker 7: going to live longer is these relationships that keep you 888 00:39:37,880 --> 00:39:40,000 Speaker 7: healthier and happier as you move on. 889 00:39:40,480 --> 00:39:41,360 Speaker 6: And you should move on. 890 00:39:41,840 --> 00:39:43,400 Speaker 7: And the last thing I say, I ask everyone I 891 00:39:43,400 --> 00:39:45,040 Speaker 7: interviewed how they want to die. So I'm going to 892 00:39:45,080 --> 00:39:46,160 Speaker 7: ask you, guys, how do you want. 893 00:39:46,040 --> 00:39:48,400 Speaker 4: To die quickly? The answer is quickly. 894 00:39:48,400 --> 00:39:50,960 Speaker 6: Really okay, yeah, okay, like not now, all right, But. 895 00:39:51,160 --> 00:39:52,920 Speaker 4: When it happens, I want it to be fast. I 896 00:39:52,960 --> 00:39:54,720 Speaker 4: want to be old, and I want it to be fast. 897 00:39:54,800 --> 00:39:57,240 Speaker 6: Really because it's the most interesting moment of your life. 898 00:39:57,440 --> 00:39:59,040 Speaker 6: You couldn't remember your birth. 899 00:39:58,960 --> 00:40:00,879 Speaker 4: This is your I'm not going to remember my death. 900 00:40:02,000 --> 00:40:04,479 Speaker 6: But it's so interesting. It's supposed to be best because it's. 901 00:40:04,440 --> 00:40:05,919 Speaker 4: Last, is it? 902 00:40:06,120 --> 00:40:08,279 Speaker 5: Like I actually am skeptical people talk about that. I 903 00:40:08,320 --> 00:40:11,680 Speaker 5: don't know people's death dead. You know wisdom as wisdom. 904 00:40:11,760 --> 00:40:14,080 Speaker 5: It's obvious to me that someone is wiser. 905 00:40:14,120 --> 00:40:16,879 Speaker 6: Because I'm sorry to shame you. You could die. You want 906 00:40:17,280 --> 00:40:18,239 Speaker 6: I mean, I mean, I want. 907 00:40:18,320 --> 00:40:20,440 Speaker 3: I want to be surrounded by my family and the 908 00:40:20,480 --> 00:40:22,080 Speaker 3: Cryonic Society of California. 909 00:40:22,160 --> 00:40:24,960 Speaker 7: Yes, exactly, that bag of ice from seven to eleven 910 00:40:25,000 --> 00:40:26,320 Speaker 7: to cover you. 911 00:40:26,360 --> 00:40:26,520 Speaker 6: Right. 912 00:40:26,600 --> 00:40:28,920 Speaker 7: The best, the best answer I ever got was this 913 00:40:28,960 --> 00:40:31,320 Speaker 7: woman who is a twin, who was a twin, said, 914 00:40:31,480 --> 00:40:32,440 Speaker 7: my twin and I have thought. 915 00:40:32,280 --> 00:40:34,200 Speaker 6: About it a lot. O people have thought about a lot. 916 00:40:34,280 --> 00:40:36,520 Speaker 6: Some people have not. And she goes, my twin and 917 00:40:36,520 --> 00:40:37,960 Speaker 6: I want to be shot out of a cannon and 918 00:40:38,000 --> 00:40:38,719 Speaker 6: shoot each other. 919 00:40:39,560 --> 00:40:39,840 Speaker 4: Wow. 920 00:40:40,080 --> 00:40:41,719 Speaker 6: I was like, oh, all right. 921 00:40:42,080 --> 00:40:45,520 Speaker 7: And one guy was like this preacher who's amazing in DC. 922 00:40:45,680 --> 00:40:47,640 Speaker 7: And he said, when I die, I want my mom 923 00:40:47,680 --> 00:40:49,600 Speaker 7: to meet me, and we want to watch Phil donnahu 924 00:40:49,680 --> 00:40:51,879 Speaker 7: together for eternity because that's what I used to do. 925 00:40:52,360 --> 00:40:54,480 Speaker 7: And I go and guess what, Phil Donna, you will 926 00:40:54,520 --> 00:40:57,200 Speaker 7: be there, so you'll be able to hang out with 927 00:40:57,239 --> 00:40:58,240 Speaker 7: Phil Donna give. 928 00:40:58,120 --> 00:41:00,080 Speaker 4: You the mind you'll get. 929 00:40:58,960 --> 00:41:03,799 Speaker 7: The people have the most fascinating answers quest was, and 930 00:41:03,880 --> 00:41:06,799 Speaker 7: they're very happy to answer. At first they're like and 931 00:41:06,840 --> 00:41:09,200 Speaker 7: then they're like, oh, I hadn't thought of that. 932 00:41:09,400 --> 00:41:11,080 Speaker 4: Okay, last line, And how do you want to die? 933 00:41:11,200 --> 00:41:12,680 Speaker 6: I talk about it in the series. You're gonna have 934 00:41:12,680 --> 00:41:12,920 Speaker 6: to wait. 935 00:41:13,080 --> 00:41:16,080 Speaker 4: Oh no, I have a new. 936 00:41:15,960 --> 00:41:17,640 Speaker 6: One that I just I change all the time. 937 00:41:17,680 --> 00:41:19,759 Speaker 7: One is throwing in the fit, get cremated, thrown in 938 00:41:19,760 --> 00:41:21,000 Speaker 7: the face of people I don't like, And. 939 00:41:21,120 --> 00:41:22,200 Speaker 4: That's what after you die. 940 00:41:22,280 --> 00:41:24,120 Speaker 6: Yes, but people answer differently. You don't. 941 00:41:24,560 --> 00:41:26,600 Speaker 7: Sometimes it's how they want to have a funeral. Sometimes 942 00:41:26,640 --> 00:41:28,160 Speaker 7: it's how they want to die. I just I don't 943 00:41:28,160 --> 00:41:30,239 Speaker 7: I leave it wide open. Steve Jobs, when he died, 944 00:41:30,360 --> 00:41:32,680 Speaker 7: his sister wrote a beautiful piece about the moment he died, 945 00:41:33,040 --> 00:41:35,399 Speaker 7: and he looked up and he said, wow, Wow, which 946 00:41:35,400 --> 00:41:37,880 Speaker 7: I think he stage managed that, like you know what 947 00:41:37,920 --> 00:41:40,320 Speaker 7: I mean, and you're like, what exactly? It was perfect 948 00:41:40,320 --> 00:41:42,799 Speaker 7: death for him. For me, I'm kind of kind of 949 00:41:42,800 --> 00:41:45,080 Speaker 7: a I make. I'm kind of a troublemaker, and I 950 00:41:45,120 --> 00:41:47,000 Speaker 7: want to go. I'm sitting there all my friends and family, 951 00:41:47,000 --> 00:41:50,600 Speaker 7: I have a lot of kids. Everybody's there, and I go, oh, 952 00:41:50,719 --> 00:41:52,280 Speaker 7: you're kidding, and then die. 953 00:41:52,960 --> 00:41:54,640 Speaker 6: I can't believe this. 954 00:41:55,000 --> 00:41:57,680 Speaker 5: So here's my favorite last words. And I don't know 955 00:41:57,719 --> 00:42:01,680 Speaker 5: if it's true, yeah, but it's uh Suzuki Shanrio Suzuki, 956 00:42:01,719 --> 00:42:04,400 Speaker 5: you know, the zen master who brought in to America. Basically, 957 00:42:04,440 --> 00:42:07,920 Speaker 5: his last words apparently were thank you, which for me 958 00:42:08,000 --> 00:42:08,560 Speaker 5: is perfect, and. 959 00:42:08,560 --> 00:42:09,919 Speaker 4: So I will say that to you right now. 960 00:42:10,000 --> 00:42:11,680 Speaker 6: Thank you, thank you very much, thank you. 961 00:42:11,640 --> 00:42:12,319 Speaker 1: Thanks for coming. 962 00:42:12,960 --> 00:42:15,560 Speaker 5: That was a very special episode of Business History, a 963 00:42:15,600 --> 00:42:17,399 Speaker 5: show about that day of business. We learned a lot 964 00:42:17,520 --> 00:42:20,840 Speaker 5: with Kara Swisher and if you're listening on audio, she 965 00:42:21,160 --> 00:42:24,320 Speaker 5: was wearing the sunglasses. You can see our show on YouTube. 966 00:42:24,400 --> 00:42:28,319 Speaker 5: The video is edited by Matt Nielsen. Our showrunner and 967 00:42:28,560 --> 00:42:32,120 Speaker 5: editor is Ryan Dilley, our producer is Gabriel Hunter Chang, 968 00:42:32,200 --> 00:42:33,839 Speaker 5: and our engineer. 969 00:42:33,280 --> 00:42:34,120 Speaker 4: Is Sarah Bruger. 970 00:42:34,600 --> 00:42:35,360 Speaker 1: Thanks for listening. 971 00:42:35,680 --> 00:42:37,640 Speaker 4: You're Robert Smith and I'm Jacob Goldstein. I will be 972 00:42:37,680 --> 00:42:40,320 Speaker 4: back next week with more about this year of business