1 00:00:00,240 --> 00:00:04,640 Speaker 1: Now here's a highlight from Coast to Coast AM on iHeartRadio. 2 00:00:05,080 --> 00:00:07,640 Speaker 2: Man, Welcome back to Coast to Coast George Norri with you. 3 00:00:07,760 --> 00:00:10,760 Speaker 2: Venki Rama Krishnan back with us. Shared the two thousand 4 00:00:10,800 --> 00:00:13,920 Speaker 2: and nine Nobel Prize in Chemistry for uncovering the structure 5 00:00:14,040 --> 00:00:18,160 Speaker 2: of the ribosome. A member of the National Academy of Sciences, 6 00:00:18,280 --> 00:00:22,440 Speaker 2: he runs the Rama Krishnan Lab at the MRC Laboratory 7 00:00:22,440 --> 00:00:27,680 Speaker 2: of Molecular Biology in Cambridge, England. From twenty fifteen to 8 00:00:27,760 --> 00:00:31,240 Speaker 2: twenty twenty, he served as president of the Royal Society. 9 00:00:31,720 --> 00:00:35,559 Speaker 2: Now that's one of the world's oldest scientific organizations. His 10 00:00:35,720 --> 00:00:39,240 Speaker 2: latest work is called Why We Die, The New Science 11 00:00:39,280 --> 00:00:42,880 Speaker 2: of Aging and the Quest for Immortality. Venkey, welcome back 12 00:00:42,880 --> 00:00:43,559 Speaker 2: to the program. 13 00:00:43,600 --> 00:00:46,800 Speaker 3: It's been a while, it's been a while. Excited to 14 00:00:46,800 --> 00:00:48,960 Speaker 3: be here. Good to have you, Thank you for having me. 15 00:00:49,720 --> 00:00:52,680 Speaker 2: Great book, by the way, well done. 16 00:00:53,560 --> 00:00:57,560 Speaker 3: Thank you. It's something humans have wondered about ever since 17 00:00:57,600 --> 00:01:01,920 Speaker 3: we've been humans, and finally, I think science is starting 18 00:01:01,960 --> 00:01:04,880 Speaker 3: to provide some answers for the question why we die. 19 00:01:05,200 --> 00:01:08,240 Speaker 2: You know, the Bible talks about Methusela and people like 20 00:01:08,319 --> 00:01:12,399 Speaker 2: that living nine hundred some years. Were those real years 21 00:01:12,440 --> 00:01:15,240 Speaker 2: they were talking about or were they just like weeks? 22 00:01:15,319 --> 00:01:16,039 Speaker 2: What were they? 23 00:01:17,280 --> 00:01:20,759 Speaker 3: I think there were maybe metaphors first people who are 24 00:01:20,840 --> 00:01:26,480 Speaker 3: very long lived, because ever since we've had accurate records, 25 00:01:26,760 --> 00:01:31,320 Speaker 3: the record holder is a frenchwoman named Sean Calmond who 26 00:01:31,360 --> 00:01:34,360 Speaker 3: lived to be one hundred and twenty two, and I 27 00:01:34,360 --> 00:01:37,520 Speaker 3: should say for most of her life she smoked a 28 00:01:37,560 --> 00:01:41,640 Speaker 3: cigarette and had a glass of port every day, and 29 00:01:41,680 --> 00:01:43,960 Speaker 3: she also ate two and a half pounds of chocolate 30 00:01:44,040 --> 00:01:47,039 Speaker 3: the week. I wouldn't recommend the first two. I could 31 00:01:47,040 --> 00:01:48,280 Speaker 3: get behind the chocolate bill. 32 00:01:49,360 --> 00:01:53,400 Speaker 2: Maybe the port helped a little bit, huh. 33 00:01:53,480 --> 00:01:58,760 Speaker 3: I don't think so. Maybe no, I really doubted it. 34 00:01:57,960 --> 00:02:03,280 Speaker 3: It just means, you know, our genetic makeup was so 35 00:02:03,440 --> 00:02:08,680 Speaker 3: good at repairing the damage we accumulate with age that 36 00:02:08,760 --> 00:02:10,959 Speaker 3: she just lived for a very long time. And I 37 00:02:11,000 --> 00:02:14,600 Speaker 3: think she was also very happy and stress free person. 38 00:02:14,800 --> 00:02:16,280 Speaker 3: That probably helped a bit too. 39 00:02:17,000 --> 00:02:21,920 Speaker 2: Absolutely, And then we are Our life span now is 40 00:02:22,240 --> 00:02:25,360 Speaker 2: tremendously higher than what it was one hundred years ago, 41 00:02:25,480 --> 00:02:25,840 Speaker 2: isn't it. 42 00:02:27,280 --> 00:02:31,000 Speaker 3: Yeah, it's well. There are two kinds of lifespans. One 43 00:02:31,040 --> 00:02:36,720 Speaker 3: is average lifespan, so what they call life expectancy and 44 00:02:36,760 --> 00:02:40,480 Speaker 3: that's more than doubled. So you could argue that humanity 45 00:02:40,520 --> 00:02:44,480 Speaker 3: as a whole is living a whole extra life, you know, 46 00:02:44,520 --> 00:02:48,880 Speaker 3: as a result of advances. But most of those advances 47 00:02:49,040 --> 00:02:55,000 Speaker 3: had to do with reducing infant mortality. So in the 48 00:02:55,040 --> 00:02:59,760 Speaker 3: old days, children would babies would die at birth or 49 00:03:00,040 --> 00:03:05,600 Speaker 3: they were very young. So by curing a lot of 50 00:03:05,600 --> 00:03:09,720 Speaker 3: infectious diseases, you know, producing antibiotics, but also public health, 51 00:03:10,240 --> 00:03:15,959 Speaker 3: good sanitation, clean water, vaccination, so all those things have 52 00:03:16,280 --> 00:03:20,840 Speaker 3: reduced infant mortality and that's helped us live longer. Now 53 00:03:20,840 --> 00:03:23,400 Speaker 3: at the other end, we've also made some progress, not 54 00:03:23,520 --> 00:03:27,239 Speaker 3: quite as much, but some progress. So we've we're tacked. 55 00:03:27,280 --> 00:03:32,040 Speaker 3: We've been able to tackle heart disease, cancer, you know, 56 00:03:32,440 --> 00:03:35,440 Speaker 3: to varying degrees, and so that's helped as well. So 57 00:03:36,320 --> 00:03:41,200 Speaker 3: whereas in the old days, on average, you would expect 58 00:03:41,280 --> 00:03:44,040 Speaker 3: to live to be a forty or so, now we're 59 00:03:44,040 --> 00:03:48,720 Speaker 3: living on average to eighties. But the average masks something, 60 00:03:48,840 --> 00:03:50,880 Speaker 3: you know, even in the old days, well, people will 61 00:03:50,920 --> 00:03:55,520 Speaker 3: live to be sixty, seventy eighty, maybe even more. So 62 00:03:55,960 --> 00:04:00,920 Speaker 3: the real question is what is our maximum LIFESPANXE lifespan 63 00:04:01,040 --> 00:04:03,720 Speaker 3: may not have changed very much, you know, which is 64 00:04:04,000 --> 00:04:06,240 Speaker 3: if you don't get sick, if you don't get eaten 65 00:04:06,400 --> 00:04:10,680 Speaker 3: or killed or starve, how long can you expect to live? 66 00:04:11,120 --> 00:04:14,640 Speaker 3: And that's you know, as I say, the record hold 67 00:04:14,680 --> 00:04:17,840 Speaker 3: is one hundred and twenty two and nobody else has 68 00:04:17,880 --> 00:04:21,560 Speaker 3: cracked one hundred and twenty and she died thirty years ago. 69 00:04:21,720 --> 00:04:25,760 Speaker 3: So although people are living to be older and older, 70 00:04:25,800 --> 00:04:27,920 Speaker 3: you know, you get more and more people living into 71 00:04:27,960 --> 00:04:32,200 Speaker 3: their nineties, you get more people living past one hundred, 72 00:04:32,800 --> 00:04:35,719 Speaker 3: but you don't get more people living past one hundred 73 00:04:35,720 --> 00:04:39,760 Speaker 3: and ten or so. So that suggests that beyond that, 74 00:04:39,920 --> 00:04:44,839 Speaker 3: we're running into some natural limit of our biology. And 75 00:04:44,920 --> 00:04:49,120 Speaker 3: I think what scientists are asking is what happens, why 76 00:04:49,160 --> 00:04:51,880 Speaker 3: do we age? And what is that natural limit? And 77 00:04:52,240 --> 00:04:55,680 Speaker 3: is it possible to extend that limit beyond one hundred 78 00:04:55,720 --> 00:04:59,440 Speaker 3: and twenty. So that's the kind of excitement in the field. 79 00:05:00,080 --> 00:05:03,080 Speaker 2: Some people think he don't look their age. I mean 80 00:05:03,160 --> 00:05:06,119 Speaker 2: some people look fifty, some people look eighty. 81 00:05:06,279 --> 00:05:11,719 Speaker 3: Yeah, absolutely, so people look people age at very different rates. 82 00:05:11,760 --> 00:05:17,840 Speaker 3: So we're using time, which is chronological time as measured 83 00:05:17,880 --> 00:05:21,440 Speaker 3: in months and years, as a kind of proxy for 84 00:05:21,520 --> 00:05:25,320 Speaker 3: the process of aging, because everything happens with time, but 85 00:05:25,400 --> 00:05:28,560 Speaker 3: it doesn't happen at the same rate with everyone, and 86 00:05:28,600 --> 00:05:32,920 Speaker 3: that's because different people. First of all, there's lifestyle differences. 87 00:05:33,480 --> 00:05:38,360 Speaker 3: Second a's genetics, and the combination means that different people 88 00:05:38,560 --> 00:05:43,359 Speaker 3: suffer damage to their cell the molecules and their cells 89 00:05:43,360 --> 00:05:47,200 Speaker 3: and their body which goes up to their tissues at 90 00:05:47,200 --> 00:05:51,080 Speaker 3: different rates. And so you know, you have people at 91 00:05:51,080 --> 00:05:55,599 Speaker 3: fifty or extremely active, others at fifty are starting to 92 00:05:55,600 --> 00:05:58,520 Speaker 3: look old, you know, and they're even eighty year olds 93 00:05:58,520 --> 00:06:04,000 Speaker 3: who look very sprised. Oh, you know, I think biologists 94 00:06:04,040 --> 00:06:08,440 Speaker 3: are not trying to find better markers than just your birthday. 95 00:06:09,080 --> 00:06:11,440 Speaker 3: You know, they're trying to see if they take a 96 00:06:11,480 --> 00:06:16,120 Speaker 3: blood sample, can they analyze it to try and determine 97 00:06:16,120 --> 00:06:21,000 Speaker 3: what your biological age is, not your your age since 98 00:06:21,040 --> 00:06:24,240 Speaker 3: your birthday, but your biological age. 99 00:06:24,480 --> 00:06:27,160 Speaker 2: And then in terms of the human body, then key, 100 00:06:27,360 --> 00:06:32,040 Speaker 2: some people get sick, some people get cancer, some people don't. 101 00:06:32,520 --> 00:06:35,600 Speaker 2: Why Why why are some people seem to be immune 102 00:06:35,600 --> 00:06:39,040 Speaker 2: to disease and other people get everything? 103 00:06:40,279 --> 00:06:43,760 Speaker 3: Yeah, that that's again, it's very related to the question 104 00:06:43,839 --> 00:06:46,720 Speaker 3: you just asked about why people some people age faster. 105 00:06:47,480 --> 00:06:50,839 Speaker 3: It is it is all ultimately a combination of our 106 00:06:50,920 --> 00:06:56,599 Speaker 3: genes and our environment. Our lifestyle and uh some people. 107 00:06:57,000 --> 00:07:01,359 Speaker 3: So cancer, cancer and aging I've written throughout the book 108 00:07:01,720 --> 00:07:04,960 Speaker 3: they're very related. In fact, as we age, the risk 109 00:07:05,080 --> 00:07:10,000 Speaker 3: of cancer goes up. And both of them involve our 110 00:07:10,160 --> 00:07:14,440 Speaker 3: cells breaking down. In one case, the cell breaks down 111 00:07:14,520 --> 00:07:17,200 Speaker 3: in a way that it starts dividing like crazy and 112 00:07:17,360 --> 00:07:20,160 Speaker 3: kind of takes over the body, and that's cancer. In 113 00:07:20,200 --> 00:07:23,720 Speaker 3: the other case, cells start breaking down and eventually a 114 00:07:23,840 --> 00:07:27,640 Speaker 3: system fails, and that's what aging and death are. So 115 00:07:28,680 --> 00:07:33,280 Speaker 3: they are related. And it's because the people who don't 116 00:07:33,280 --> 00:07:38,480 Speaker 3: get cancer, I'll bet you they're also often longer lived people. 117 00:07:38,520 --> 00:07:41,680 Speaker 3: The people who don't get infection and cancer, it means 118 00:07:42,000 --> 00:07:49,280 Speaker 3: their ability to repair damage and thereby prevent cancer is 119 00:07:50,160 --> 00:07:54,040 Speaker 3: working very well, and so that's why they don't get cancer. 120 00:07:54,080 --> 00:07:58,800 Speaker 3: And in other cases they are more susceptible. But of 121 00:07:58,840 --> 00:08:02,840 Speaker 3: course cancer is all so a little bit of a 122 00:08:03,000 --> 00:08:06,840 Speaker 3: chance event. You know, all of us potentially are susceptible 123 00:08:06,880 --> 00:08:12,040 Speaker 3: to cancer because our DNA is attacked by the environment 124 00:08:12,200 --> 00:08:15,880 Speaker 3: all the time, even if they're no nasty chemicals, even 125 00:08:15,920 --> 00:08:20,640 Speaker 3: in the normal cell, our DNA keeps getting damaged. But 126 00:08:20,720 --> 00:08:25,000 Speaker 3: we have elaborate repair mechanisms which constantly checks our DNA 127 00:08:25,440 --> 00:08:29,480 Speaker 3: and repairs the damage. So the problem happens when that 128 00:08:29,560 --> 00:08:34,160 Speaker 3: repair mechanism itself is affected as well. And of course, 129 00:08:34,240 --> 00:08:38,560 Speaker 3: with time, some damage even escapes the repair mechanism, So 130 00:08:39,160 --> 00:08:42,640 Speaker 3: all of us are potentially susceptible to cancer. In fact, 131 00:08:42,720 --> 00:08:45,079 Speaker 3: they say, you know, by the time you reach my age, 132 00:08:45,440 --> 00:08:50,040 Speaker 3: which is I'm seventy one, I might actually have, you know, 133 00:08:50,200 --> 00:08:55,360 Speaker 3: several cancer cells inside me. They just haven't developed to 134 00:08:55,400 --> 00:08:58,520 Speaker 3: the point where they're causing disease, and you know, maybe 135 00:08:58,559 --> 00:09:02,560 Speaker 3: before that my immune system will take care of it. So, 136 00:09:03,720 --> 00:09:07,600 Speaker 3: you know, cancers, some people are just unlucky. That's just 137 00:09:08,280 --> 00:09:10,960 Speaker 3: you know, how it is, and some people have a 138 00:09:11,080 --> 00:09:13,280 Speaker 3: poorer repair mechanism than others. 139 00:09:13,679 --> 00:09:19,000 Speaker 2: I've always believed exactly what you've just said, that most people, 140 00:09:19,240 --> 00:09:22,400 Speaker 2: if not all of us, have some cancer cells in 141 00:09:22,440 --> 00:09:25,720 Speaker 2: our body. It's just that our immune systems are so 142 00:09:25,880 --> 00:09:30,360 Speaker 2: different that we keep it contained and they don't spread. 143 00:09:30,480 --> 00:09:34,960 Speaker 3: Yeah, yeah, I mean, and that's true for many people. 144 00:09:35,080 --> 00:09:35,760 Speaker 3: That's true. 145 00:09:36,280 --> 00:09:39,800 Speaker 2: Now, what is your definition, Vinky of a cancer cell? 146 00:09:39,960 --> 00:09:45,000 Speaker 3: What is it? I would say there's some hallmarks of cancer. 147 00:09:45,080 --> 00:09:51,040 Speaker 3: One is that it's escaped the control over cell division. 148 00:09:51,080 --> 00:09:55,840 Speaker 3: That is, you know, normally our cells multiply and then 149 00:09:56,080 --> 00:09:59,559 Speaker 3: when they form the tissue, at some point they stop multiplying. 150 00:09:59,640 --> 00:10:03,839 Speaker 3: So your liver, for example, it doesn't keep growing and 151 00:10:03,920 --> 00:10:07,120 Speaker 3: start taking over your entire abdomen or your stomach, or 152 00:10:07,120 --> 00:10:11,360 Speaker 3: your intestines or your bones don't start growing indefinitely, so 153 00:10:11,880 --> 00:10:18,200 Speaker 3: there's a control over growth. And when those control systems 154 00:10:18,240 --> 00:10:23,760 Speaker 3: break down and cell starts dividing indefinitely, then you start 155 00:10:23,760 --> 00:10:29,920 Speaker 3: getting cancer. The other hallmark is that the cancer cells 156 00:10:30,120 --> 00:10:35,400 Speaker 3: also promote in order to grow, they also need blood 157 00:10:35,520 --> 00:10:39,280 Speaker 3: vessels throughout them because they need nutrients to grow, and 158 00:10:39,320 --> 00:10:43,400 Speaker 3: so they also promote the growth of blood vessels around 159 00:10:43,440 --> 00:10:48,040 Speaker 3: the cancer. So there are a number of kind of hallmarks. 160 00:10:48,840 --> 00:10:53,040 Speaker 3: Very famous cancer biologists Bob Weinberg wrote a famous article 161 00:10:54,040 --> 00:10:57,640 Speaker 3: called Hallmarks of Cancer, which really talks about, you know, 162 00:10:57,880 --> 00:11:01,280 Speaker 3: what are some of the big characteristics of cancer. But 163 00:11:01,320 --> 00:11:06,840 Speaker 3: I would say this uncontrolled runaway growth is probably a 164 00:11:06,960 --> 00:11:08,559 Speaker 3: key key hallmark. 165 00:11:08,760 --> 00:11:15,040 Speaker 2: How important is family genetics? 166 00:11:13,559 --> 00:11:21,360 Speaker 3: To genetics is very important. People don't like to There 167 00:11:21,400 --> 00:11:23,320 Speaker 3: are people who don't like to admit it because it 168 00:11:23,400 --> 00:11:27,439 Speaker 3: seems unfair, you know, it offends their sense of fairness 169 00:11:27,480 --> 00:11:31,840 Speaker 3: that some people you know have, you know, genes that 170 00:11:31,960 --> 00:11:35,160 Speaker 3: make them predisposed of things. But I think genetics is 171 00:11:36,040 --> 00:11:40,920 Speaker 3: is very important, and you know, biologists recognize this. For example, 172 00:11:42,000 --> 00:11:47,240 Speaker 3: people with mutations that might make you predisposed to breast cancer, 173 00:11:47,320 --> 00:11:49,760 Speaker 3: now they're a good tests for them, you know, So 174 00:11:50,800 --> 00:11:52,959 Speaker 3: you can you know, if you're a woman in your 175 00:11:53,640 --> 00:11:56,360 Speaker 3: twenties or thirties, you could and you have cancer in 176 00:11:56,400 --> 00:11:58,360 Speaker 3: your family, you could go get a test to see 177 00:11:58,360 --> 00:12:02,720 Speaker 3: if you're you're susceptible, and then you could start trying 178 00:12:02,720 --> 00:12:07,080 Speaker 3: to do something about it before it becomes serious. So 179 00:12:07,320 --> 00:12:10,559 Speaker 3: and as I think as biology progresses, we are going 180 00:12:10,640 --> 00:12:15,400 Speaker 3: to have more and more sophisticated tests. But as I say, 181 00:12:16,440 --> 00:12:19,320 Speaker 3: not everything is genetic. Sometimes it's just the luck of 182 00:12:19,320 --> 00:12:22,600 Speaker 3: the drawer. You know, your DNA gets damaged and by 183 00:12:22,800 --> 00:12:27,040 Speaker 3: chance it escapes your repair mechanism, and it's a series 184 00:12:27,080 --> 00:12:30,360 Speaker 3: of things happen and you get cancer. You know, So 185 00:12:30,480 --> 00:12:33,760 Speaker 3: even if you're a very healthy individual with a good 186 00:12:33,760 --> 00:12:37,240 Speaker 3: immune system, it doesn't mean you're never going to get cancer. 187 00:12:37,280 --> 00:12:38,760 Speaker 3: It just means your odds are better. 188 00:12:39,960 --> 00:12:42,720 Speaker 2: In your book Why We Die, the subtitle of course, 189 00:12:42,840 --> 00:12:45,560 Speaker 2: is the New Science of Aging and the Quest for 190 00:12:46,240 --> 00:12:52,160 Speaker 2: Immortality or how real is that? Possibility. 191 00:12:52,440 --> 00:12:55,400 Speaker 3: Well, I'm more on the skeptical side, but I have 192 00:12:55,480 --> 00:13:00,720 Speaker 3: to tell you there are people, especially in California, California, 193 00:13:00,800 --> 00:13:05,440 Speaker 3: I think breeds or attracts optimists, and there are people 194 00:13:05,480 --> 00:13:10,480 Speaker 3: there who you know, would disagree with me. My feeling 195 00:13:10,559 --> 00:13:17,040 Speaker 3: is our natural biology is so complicated that well, as 196 00:13:17,080 --> 00:13:20,080 Speaker 3: I said, our natural biology seems to suggest we hit 197 00:13:20,679 --> 00:13:23,679 Speaker 3: a barrier at about one hundred and twenty. Nobody's crossed 198 00:13:23,679 --> 00:13:29,240 Speaker 3: that except as one moment. So I think that our 199 00:13:29,360 --> 00:13:33,600 Speaker 3: natural biology as we have evolved so that we break 200 00:13:33,679 --> 00:13:36,400 Speaker 3: down after about one hundred and twenty years, and we 201 00:13:36,400 --> 00:13:38,240 Speaker 3: could ask why we live to be one hundred and 202 00:13:38,280 --> 00:13:41,160 Speaker 3: twenty In an insect only lives for a day, that's 203 00:13:41,160 --> 00:13:45,160 Speaker 3: another interesting question, and tortoises and whales live for two 204 00:13:45,200 --> 00:13:52,040 Speaker 3: three hundred years. So but I think that breaching that 205 00:13:52,200 --> 00:13:57,480 Speaker 3: barrier would mean altering our natural biology. But our natural 206 00:13:57,480 --> 00:14:01,000 Speaker 3: biology is very complex. It's not as if you can 207 00:14:01,080 --> 00:14:04,160 Speaker 3: change one thing without affecting a bunch of other things. 208 00:14:04,720 --> 00:14:09,080 Speaker 3: And so my view is, yes, it's theoretically possible, but 209 00:14:09,080 --> 00:14:13,240 Speaker 3: it's also theoretically possible that we could colonize Mars or 210 00:14:13,400 --> 00:14:17,360 Speaker 3: even colonize some other galaxy. But it's not going to 211 00:14:17,400 --> 00:14:20,440 Speaker 3: happen tomorrow, right, So I don't know how to put 212 00:14:20,480 --> 00:14:24,200 Speaker 3: it on a scale of difficulty. People used to think 213 00:14:24,240 --> 00:14:27,320 Speaker 3: it's going to the moon was a fantasy. But you know, 214 00:14:27,440 --> 00:14:28,040 Speaker 3: we did it. 215 00:14:28,040 --> 00:14:30,840 Speaker 2: Right so many times, many times. 216 00:14:30,920 --> 00:14:34,120 Speaker 3: You know, Yeah, so I think, you know, in theory 217 00:14:34,160 --> 00:14:37,760 Speaker 3: it's possible, and practice it's going to be harder than 218 00:14:37,800 --> 00:14:39,160 Speaker 3: some of these optimists think. 219 00:14:40,000 --> 00:14:44,280 Speaker 2: Why does a small dog seem to outlive a bigger dog? 220 00:14:44,440 --> 00:14:45,720 Speaker 2: What does that have to do with. 221 00:14:45,960 --> 00:14:51,200 Speaker 3: A that's very interesting. So you know, if you take species, 222 00:14:51,760 --> 00:14:55,000 Speaker 3: it turns out the larger you are, the longer you 223 00:14:55,120 --> 00:14:59,280 Speaker 3: live on average between species. So for example, a mouse 224 00:14:59,720 --> 00:15:03,840 Speaker 3: will only live for about two years. Human lives, you know, 225 00:15:03,960 --> 00:15:06,400 Speaker 3: as I say, one hundred years, and then you have 226 00:15:06,720 --> 00:15:10,120 Speaker 3: blue whale or you know, a greenland shark will live 227 00:15:10,160 --> 00:15:13,800 Speaker 3: four hundred years. You know, certain whales live for two 228 00:15:13,920 --> 00:15:18,680 Speaker 3: hundred three hundred years. So generally there's a correlation between 229 00:15:18,920 --> 00:15:25,360 Speaker 3: size and longevity. And this is because you know, the 230 00:15:25,480 --> 00:15:30,880 Speaker 3: evolutionary theory that biologists like suggests that you know, they 231 00:15:30,880 --> 00:15:34,480 Speaker 3: don't Evolution hasn't doesn't care how long you live. It 232 00:15:34,560 --> 00:15:38,720 Speaker 3: really cares about whether you live long enough to reproduce 233 00:15:38,840 --> 00:15:43,600 Speaker 3: and pass on your genes because you're selecting for these genes. Now, 234 00:15:43,600 --> 00:15:47,480 Speaker 3: if you're a small animal, then you know, you don't 235 00:15:48,240 --> 00:15:53,760 Speaker 3: there's no point in biology spending a lot of resources 236 00:15:54,360 --> 00:15:59,600 Speaker 3: into repairing and maintaining that body if you're going to 237 00:15:59,640 --> 00:16:02,880 Speaker 3: be eaten by a predator or you're going to starve 238 00:16:02,960 --> 00:16:05,360 Speaker 3: to death, or you know, because you can't you know, 239 00:16:05,560 --> 00:16:10,480 Speaker 3: you don't have much foraging capacity. So so in that case, 240 00:16:11,000 --> 00:16:14,160 Speaker 3: biology puts a lot of effort into making you grow 241 00:16:14,280 --> 00:16:19,240 Speaker 3: fast and reproducing fast, and that's what mice do or 242 00:16:19,320 --> 00:16:22,760 Speaker 3: you know, small animals do generally. And then if you're larger, 243 00:16:22,960 --> 00:16:25,480 Speaker 3: it does pay to live longer because you have a 244 00:16:25,520 --> 00:16:28,360 Speaker 3: better chance of finding a mate. You could have offspring 245 00:16:28,400 --> 00:16:32,800 Speaker 3: over a longer life, and so you have you're increasing 246 00:16:32,840 --> 00:16:36,280 Speaker 3: your chances that way. So that's the difference between species. 247 00:16:36,360 --> 00:16:39,480 Speaker 3: But to get back to your question about within a species, 248 00:16:39,560 --> 00:16:44,840 Speaker 3: like dogs versus you know, small dogs versus large dogs. Well, 249 00:16:44,920 --> 00:16:49,240 Speaker 3: it turns out that the same pathways that help you 250 00:16:49,400 --> 00:16:57,120 Speaker 3: grow faster and mature faster early on also factor you 251 00:16:57,400 --> 00:16:59,800 Speaker 3: later on. They cause some of the problems of a 252 00:17:00,320 --> 00:17:05,960 Speaker 3: later on. And this is true throughout biology. The things 253 00:17:06,000 --> 00:17:09,760 Speaker 3: that help you early in life. Even things that prevent 254 00:17:09,920 --> 00:17:14,000 Speaker 3: cancer early in life have helped to cause aging later 255 00:17:14,119 --> 00:17:17,280 Speaker 3: in life. And that's because, as I said, biology wants 256 00:17:17,320 --> 00:17:20,240 Speaker 3: to make sure you don't get cancer. You grow fast 257 00:17:20,680 --> 00:17:24,120 Speaker 3: and get to reproduce, and then after you've done that, 258 00:17:24,520 --> 00:17:26,959 Speaker 3: it doesn't really much care what happens to you, you know. 259 00:17:27,040 --> 00:17:32,760 Speaker 3: So that's why you know young dogs are small dogs 260 00:17:33,320 --> 00:17:36,880 Speaker 3: live longer because they don't have those growth pathways, are 261 00:17:36,880 --> 00:17:39,600 Speaker 3: not as strong in them, and they grow slowly and 262 00:17:40,280 --> 00:17:44,919 Speaker 3: they're and they're small, and then the payoff is that 263 00:17:44,960 --> 00:17:45,800 Speaker 3: they live longer. 264 00:17:46,320 --> 00:17:50,160 Speaker 2: RICKI, does it seem that people who are happier, better 265 00:17:50,240 --> 00:17:54,920 Speaker 2: attitudes generally will live longer than people who are negative 266 00:17:55,000 --> 00:17:55,719 Speaker 2: all the time. 267 00:17:57,280 --> 00:18:01,040 Speaker 3: I don't know that data, but everything I know about 268 00:18:01,040 --> 00:18:05,040 Speaker 3: the biology of aging which suggests that being happier is 269 00:18:05,560 --> 00:18:11,920 Speaker 3: a great thing because being happy reduces stress, and stress 270 00:18:11,960 --> 00:18:15,920 Speaker 3: causes all kinds of haboc it. You know, a lot 271 00:18:16,640 --> 00:18:21,560 Speaker 3: generates these hormones like cortisol, which have bad effects. In fact, 272 00:18:21,600 --> 00:18:24,320 Speaker 3: one of the effects, oddly enough, is it shortens our 273 00:18:24,800 --> 00:18:28,919 Speaker 3: chromosomes as ourselves multiplied, and that's one of the causes 274 00:18:28,960 --> 00:18:33,280 Speaker 3: of aging. But it has very widespread effects so I 275 00:18:33,320 --> 00:18:37,560 Speaker 3: would say yes. Happiness and being sort of generally you know, 276 00:18:37,720 --> 00:18:41,960 Speaker 3: content with life is probably a recipe. 277 00:18:42,240 --> 00:18:45,480 Speaker 1: Listen to more Coast to Coast AM every weeknight at 278 00:18:45,520 --> 00:18:48,359 Speaker 1: one a m. Eastern and go to Coast to coastam 279 00:18:48,520 --> 00:18:49,600 Speaker 1: dot com for more