1 00:00:00,400 --> 00:00:02,960 Speaker 1: Guess what, mango? What's that? Will? All right? You know 2 00:00:03,000 --> 00:00:05,720 Speaker 1: how I love a good list, and especially when these 3 00:00:05,760 --> 00:00:08,280 Speaker 1: lists are about records. While I was looking over the 4 00:00:08,280 --> 00:00:11,440 Speaker 1: list of the world's oldest living people, and I stumbled 5 00:00:11,440 --> 00:00:14,600 Speaker 1: into this story of Jean Louise Coleman, and she was 6 00:00:14,640 --> 00:00:17,439 Speaker 1: the oldest living person on record until she died in 7 00:00:18,640 --> 00:00:21,560 Speaker 1: at a hundred and twenty two years and a hundred 8 00:00:21,560 --> 00:00:25,759 Speaker 1: and sixty four days old old. That's crazy, and it 9 00:00:25,840 --> 00:00:27,680 Speaker 1: was so much fun to read about her life. I mean, 10 00:00:27,720 --> 00:00:32,760 Speaker 1: she had this really active lifestyle. She enjoyed swimming, playing tennis, cycling. 11 00:00:33,280 --> 00:00:35,960 Speaker 1: She decided to start fencing at the age of eighty five, 12 00:00:36,680 --> 00:00:38,800 Speaker 1: and in fact, she rode her bike until she turned 13 00:00:38,800 --> 00:00:42,320 Speaker 1: a full century old. That's incredible. Yeah, and she didn't 14 00:00:42,360 --> 00:00:44,600 Speaker 1: slow down much after that, so she decided to let 15 00:00:44,640 --> 00:00:48,120 Speaker 1: her artistic talent shine after turning a hundred. She was 16 00:00:48,159 --> 00:00:50,360 Speaker 1: a hundred and fourteen when she made an appearance in 17 00:00:50,400 --> 00:00:52,680 Speaker 1: the movie Vincent and Me, and that made her the 18 00:00:52,680 --> 00:00:55,880 Speaker 1: oldest actress to appear in emotion picture. Then, when she 19 00:00:55,960 --> 00:00:58,600 Speaker 1: was a hundred and twenty, one of four track CD 20 00:00:58,720 --> 00:01:02,120 Speaker 1: titled Times Mistress was released. This was a rap album 21 00:01:02,120 --> 00:01:05,560 Speaker 1: with Kelmen speaking over it. So she obviously lived this 22 00:01:05,800 --> 00:01:08,720 Speaker 1: very active and engaging life. But you want to know 23 00:01:08,760 --> 00:01:10,280 Speaker 1: the real reason I think she made it to a 24 00:01:10,360 --> 00:01:13,720 Speaker 1: hundred and twenty two. She stopped smoking when she was 25 00:01:13,720 --> 00:01:17,240 Speaker 1: a hundred and sixteen, after ninety six years of sucking 26 00:01:17,240 --> 00:01:21,200 Speaker 1: down cigarettes. That's so strange. And obviously cigarettes are one 27 00:01:21,240 --> 00:01:23,880 Speaker 1: of the things that are most consistently linked in earlier death. 28 00:01:23,959 --> 00:01:27,039 Speaker 1: So that's that's doubly crazy, right right, it really is. 29 00:01:27,120 --> 00:01:29,319 Speaker 1: And you know, while it's certainly a bizarre case, there's 30 00:01:29,360 --> 00:01:32,000 Speaker 1: some really fascinating findings in the world of science that 31 00:01:32,040 --> 00:01:35,679 Speaker 1: are helping us understand why certain people live longer. And 32 00:01:35,680 --> 00:01:37,480 Speaker 1: that's what we're going to talk about today. So let's 33 00:01:37,480 --> 00:01:58,760 Speaker 1: get started. Hey, their podcast listeners, welcome to Part Time Genius. 34 00:01:58,760 --> 00:02:00,960 Speaker 1: I'm Will Pearson and as always I'm joined by my 35 00:02:00,960 --> 00:02:04,200 Speaker 1: good friend man guest Ticketer, and today we're talking about 36 00:02:04,200 --> 00:02:07,600 Speaker 1: the latest research around longevity, that is, how to live 37 00:02:07,640 --> 00:02:10,360 Speaker 1: a super long time now, Mango. In one of our 38 00:02:10,400 --> 00:02:13,600 Speaker 1: earlier episodes, we talked about cryonics, you know, this effort 39 00:02:13,600 --> 00:02:16,280 Speaker 1: to freeze our bodies after we die, all in the 40 00:02:16,280 --> 00:02:19,120 Speaker 1: hopes that science will advance enough in the coming centuries 41 00:02:19,160 --> 00:02:21,480 Speaker 1: to be able to bring us back to life. And 42 00:02:21,520 --> 00:02:24,080 Speaker 1: if I remember correctly, you made it pretty clear this 43 00:02:24,200 --> 00:02:26,800 Speaker 1: was not something you're a fan of. You'd rather just 44 00:02:26,840 --> 00:02:29,400 Speaker 1: try to live longer while you're still alive the first 45 00:02:29,400 --> 00:02:32,359 Speaker 1: time around, right, And I totally stand by that feeling. 46 00:02:32,440 --> 00:02:35,880 Speaker 1: So first off, you know, I hate the cold. There's 47 00:02:36,240 --> 00:02:38,079 Speaker 1: no way I want to be shoved upside down into 48 00:02:38,120 --> 00:02:42,239 Speaker 1: a freezer. And and also I would so much rather 49 00:02:42,320 --> 00:02:45,200 Speaker 1: just live longer and healthier than than you've woken up 50 00:02:45,240 --> 00:02:47,520 Speaker 1: like two years from now. Yeah, well that's what we're 51 00:02:47,520 --> 00:02:49,480 Speaker 1: gonna talk about today, and so we'll dive into the 52 00:02:49,520 --> 00:02:52,880 Speaker 1: latest research on the obvious stuff, whether that's exercise and 53 00:02:52,960 --> 00:02:55,240 Speaker 1: diet and all of those things, and and then some 54 00:02:55,280 --> 00:02:57,680 Speaker 1: of the surprising. And we've got a couple of great 55 00:02:57,720 --> 00:02:59,959 Speaker 1: guests on today, that's right. So one of them is 56 00:03:00,120 --> 00:03:02,799 Speaker 1: a total superstar to me, and I'm a little surprised 57 00:03:02,800 --> 00:03:04,560 Speaker 1: that we managed to get her on the program. Any 58 00:03:04,560 --> 00:03:06,800 Speaker 1: listeners who heard the original trailer for the show will 59 00:03:06,840 --> 00:03:10,200 Speaker 1: also be familiar with your ninety year old grandmother, Mama. Mama, 60 00:03:10,240 --> 00:03:12,040 Speaker 1: I know, and so Mamma is going to share some 61 00:03:12,080 --> 00:03:14,200 Speaker 1: of her tips on how she's managed to reach ninety 62 00:03:14,360 --> 00:03:16,840 Speaker 1: and be in better shape than either of us. And 63 00:03:16,960 --> 00:03:20,119 Speaker 1: we'll also be joined by Howard Friedman. He's this professor 64 00:03:20,160 --> 00:03:23,640 Speaker 1: and psychologist at the University of California Riverside. Friedman co 65 00:03:23,680 --> 00:03:26,320 Speaker 1: authored a book called The Longevity Project a few years back, 66 00:03:26,440 --> 00:03:30,000 Speaker 1: which followed an incredible eight decades study about the various 67 00:03:30,040 --> 00:03:33,720 Speaker 1: psychological factors that contribute to how long people live. It's 68 00:03:33,760 --> 00:03:36,480 Speaker 1: this really fascinating book, and I'm excited to hear some 69 00:03:36,520 --> 00:03:39,320 Speaker 1: of those updates and uh, talk to Howard. So two 70 00:03:39,360 --> 00:03:41,080 Speaker 1: great guests. Yeah, I can't wait to get both of 71 00:03:41,080 --> 00:03:42,920 Speaker 1: them on the line. So all right, well let's talk 72 00:03:42,920 --> 00:03:45,480 Speaker 1: about longevity. You know, when we were young, if you 73 00:03:45,560 --> 00:03:48,160 Speaker 1: mentioned someone had lived to be a hundred, it just 74 00:03:48,320 --> 00:03:52,200 Speaker 1: seemed incredible, almost impossible. And it is incredible, I know. 75 00:03:52,280 --> 00:03:53,720 Speaker 1: So when I was younger, I used to tell people 76 00:03:53,760 --> 00:03:55,720 Speaker 1: that my great grandma lived to a hundred and three, 77 00:03:55,800 --> 00:03:58,240 Speaker 1: and no one believed me, and I just kind of 78 00:03:58,280 --> 00:04:00,680 Speaker 1: took it for granted that people live at But when 79 00:04:00,680 --> 00:04:03,080 Speaker 1: I think about it now, I don't even understand how 80 00:04:03,120 --> 00:04:06,200 Speaker 1: that's possible. What's even more incredible than that is that 81 00:04:06,280 --> 00:04:08,920 Speaker 1: some researchers predict that half the baby is born in 82 00:04:08,960 --> 00:04:12,320 Speaker 1: wealthy countries after the year two thousand will live to 83 00:04:12,400 --> 00:04:15,440 Speaker 1: be a hundred. Half of these people, Yeah, that's unreal. 84 00:04:15,560 --> 00:04:18,160 Speaker 1: But I did see in a research that life expectancy 85 00:04:18,160 --> 00:04:20,680 Speaker 1: has been going up by nearly three months every year 86 00:04:20,760 --> 00:04:23,599 Speaker 1: for nearly a hundred eighty years now. And while there's 87 00:04:23,640 --> 00:04:26,920 Speaker 1: certainly no guarantee that the trend will continue, if it does, 88 00:04:27,400 --> 00:04:29,880 Speaker 1: that's where your stat really starts to click. Like I 89 00:04:29,920 --> 00:04:32,400 Speaker 1: read that if those numbers continue, more than half the 90 00:04:32,440 --> 00:04:35,000 Speaker 1: baby is born since two thousand will hit triple digits. Well, 91 00:04:35,040 --> 00:04:36,800 Speaker 1: and there have been so many studies done to try 92 00:04:36,839 --> 00:04:39,800 Speaker 1: to find some big clue or marker that lets us say, Okay, 93 00:04:39,839 --> 00:04:42,240 Speaker 1: that's it, you know, that's why people are living this long, 94 00:04:42,279 --> 00:04:45,159 Speaker 1: But so far they really haven't been able to find one, 95 00:04:45,279 --> 00:04:48,840 Speaker 1: even for these supercentenarians. These are those incredible cases where 96 00:04:48,839 --> 00:04:51,440 Speaker 1: people live more than a hundred and ten years. I know. 97 00:04:51,560 --> 00:04:53,360 Speaker 1: So I used to read tips from old people on 98 00:04:53,520 --> 00:04:56,520 Speaker 1: living longer, and they see things like, uh, you know, 99 00:04:56,600 --> 00:04:58,760 Speaker 1: too much standing will kill you, or too much sitting, 100 00:04:58,960 --> 00:05:02,000 Speaker 1: or eat yogur but only the really sour yogurt, or 101 00:05:02,160 --> 00:05:05,280 Speaker 1: don't eat any dairy. I mean, everything is so conflicting, 102 00:05:05,760 --> 00:05:09,040 Speaker 1: And the clearest thing is that genetics obviously play a role, 103 00:05:09,320 --> 00:05:11,640 Speaker 1: so scientists haven't been able to figure out that like 104 00:05:11,760 --> 00:05:14,440 Speaker 1: one magic gene that helps people live to a hundred years. 105 00:05:14,760 --> 00:05:18,279 Speaker 1: But behavioral differences are something researchers know much more about 106 00:05:18,560 --> 00:05:20,760 Speaker 1: that we're going to talk about those, but before we 107 00:05:20,800 --> 00:05:23,560 Speaker 1: get into the big ones like diet and exercise, I'd 108 00:05:23,640 --> 00:05:25,200 Speaker 1: love to warm up a little and talk about some 109 00:05:25,240 --> 00:05:27,719 Speaker 1: of the surprising or interesting things that you were mentioning 110 00:05:27,760 --> 00:05:30,760 Speaker 1: from the research you found yesterday. All right, let's do that. Well, So, 111 00:05:30,760 --> 00:05:33,240 Speaker 1: so which which place do you want to start? Well, 112 00:05:33,279 --> 00:05:35,760 Speaker 1: what about the fact that work stress isn't nearly as 113 00:05:35,800 --> 00:05:38,560 Speaker 1: bad as uh as people think? Okay, well, that that 114 00:05:38,600 --> 00:05:41,280 Speaker 1: one actually surprised me. So we're not talking about people 115 00:05:41,320 --> 00:05:44,640 Speaker 1: who are miserable in their jobs. But you know, some stress, 116 00:05:44,680 --> 00:05:47,440 Speaker 1: a little bit of stress, even consistent stress over doing 117 00:05:47,440 --> 00:05:50,240 Speaker 1: a good job or just being busy at work. That's 118 00:05:50,279 --> 00:05:52,200 Speaker 1: not going to kill you, or at least it's not 119 00:05:52,360 --> 00:05:55,119 Speaker 1: likely to. So we can ask Dr Freedman more about 120 00:05:55,160 --> 00:05:58,159 Speaker 1: this later. But the health benefits of hard work have 121 00:05:58,240 --> 00:06:00,680 Speaker 1: been found, and not only in young are workers, but 122 00:06:01,160 --> 00:06:03,440 Speaker 1: even in older people. So again, this was a little 123 00:06:03,480 --> 00:06:07,080 Speaker 1: surprising to me. And a certain level of stress often indicates, 124 00:06:07,200 --> 00:06:09,920 Speaker 1: you know, real engagement in their work, and these individuals 125 00:06:09,960 --> 00:06:13,320 Speaker 1: are usually more connected and happier than those co workers 126 00:06:13,360 --> 00:06:15,520 Speaker 1: who are not as engaged in what they're doing. Yeah, 127 00:06:15,560 --> 00:06:17,560 Speaker 1: wh which which makes a certain amount of sense to me, 128 00:06:17,640 --> 00:06:19,960 Speaker 1: like the pride you're taking and you know your commitment 129 00:06:20,000 --> 00:06:23,520 Speaker 1: to But but what about parenthood. I mean, people always 130 00:06:23,560 --> 00:06:26,039 Speaker 1: joke about kids taking years off their life, and it 131 00:06:26,080 --> 00:06:27,840 Speaker 1: seems like it would make sense if we found out 132 00:06:27,880 --> 00:06:30,000 Speaker 1: that being a parent made his die a little younger, 133 00:06:30,560 --> 00:06:32,720 Speaker 1: Like it's stressful to be a parent. They're all the 134 00:06:32,800 --> 00:06:35,479 Speaker 1: years of missleep and then the years of worrying about 135 00:06:35,520 --> 00:06:39,239 Speaker 1: those kids, and then they obviously cost a ton of money. Um, 136 00:06:39,400 --> 00:06:42,120 Speaker 1: but I think you had some surprising facts for stressed 137 00:06:42,120 --> 00:06:44,760 Speaker 1: out parents. It turns out having kids may actually help 138 00:06:44,760 --> 00:06:46,919 Speaker 1: you live a little bit longer. I was reading about 139 00:06:46,920 --> 00:06:49,760 Speaker 1: this study out of Sweden, and these researchers looked at 140 00:06:49,760 --> 00:06:52,520 Speaker 1: over a million people in this study, So these were 141 00:06:52,520 --> 00:06:55,120 Speaker 1: people born in the early nineteen hundreds, and what the 142 00:06:55,120 --> 00:06:57,360 Speaker 1: study found was that those who had at least one 143 00:06:57,480 --> 00:07:01,119 Speaker 1: child were actually more likely to live longer. So for women, 144 00:07:01,160 --> 00:07:03,400 Speaker 1: it was a benefit of about a year and a half, 145 00:07:03,800 --> 00:07:06,200 Speaker 1: and for men it was almost two years. So I 146 00:07:06,279 --> 00:07:08,680 Speaker 1: lived with two tyrants. And if you'd asked me when 147 00:07:08,680 --> 00:07:10,360 Speaker 1: I had to toddler in the house two years ago, 148 00:07:10,680 --> 00:07:13,400 Speaker 1: I would have told you that that just can't be true. 149 00:07:13,440 --> 00:07:15,760 Speaker 1: I mean, there's no coincidence that all my white hair 150 00:07:15,880 --> 00:07:17,760 Speaker 1: came in when I had kids. Yeah, I would have 151 00:07:17,800 --> 00:07:20,280 Speaker 1: said the same thing. And there's some other interesting elements 152 00:07:20,320 --> 00:07:22,200 Speaker 1: to the study as well. They found that there was 153 00:07:22,200 --> 00:07:26,200 Speaker 1: an even stronger link between parenthood and life expectancy for 154 00:07:26,280 --> 00:07:28,520 Speaker 1: those who weren't married. Yeah, so this is the part 155 00:07:28,520 --> 00:07:31,000 Speaker 1: where we tell all our single friends, like Sean Turner, 156 00:07:31,200 --> 00:07:33,000 Speaker 1: just go out there and have a kid. That'll solve 157 00:07:33,000 --> 00:07:35,040 Speaker 1: it all. Just just just go have a kid. But 158 00:07:35,360 --> 00:07:37,600 Speaker 1: this is where our biggest clue comes from. So it 159 00:07:37,720 --> 00:07:40,880 Speaker 1: suggests that these parents benefit from their adult children caring 160 00:07:40,920 --> 00:07:43,760 Speaker 1: for them and providing social support in their later years. 161 00:07:43,920 --> 00:07:46,760 Speaker 1: So you told me that yesterday. But I'm wondering, doesn't 162 00:07:46,800 --> 00:07:49,000 Speaker 1: matter if these parents have a boy or a girl. Well, 163 00:07:49,000 --> 00:07:51,400 Speaker 1: there were some earlier studies that it just had shown 164 00:07:51,480 --> 00:07:53,400 Speaker 1: that it was, you know, maybe more beneficial to have 165 00:07:53,440 --> 00:07:56,240 Speaker 1: a girl because adult daughters were more likely to be 166 00:07:56,280 --> 00:07:59,440 Speaker 1: helpful as their parents got older. But the more recent 167 00:07:59,480 --> 00:08:02,000 Speaker 1: studies have shown that it's it's pretty much equal to 168 00:08:02,240 --> 00:08:04,040 Speaker 1: whether you have a boy or a girl, which is 169 00:08:04,160 --> 00:08:08,040 Speaker 1: kind of relief. Okay, So another one that I I 170 00:08:08,080 --> 00:08:11,000 Speaker 1: guess isn't that shocking but is interesting to see confirmed 171 00:08:11,080 --> 00:08:13,440 Speaker 1: is the benefit of learning a second language and how 172 00:08:13,480 --> 00:08:15,480 Speaker 1: that can slow your brain from aging. Yeah, this one 173 00:08:15,560 --> 00:08:17,440 Speaker 1: is actually pretty cool. So you know, it's not a 174 00:08:17,480 --> 00:08:20,240 Speaker 1: new idea that knowing a second language might help keep 175 00:08:20,240 --> 00:08:23,360 Speaker 1: a mind sharp, but it's always been difficult in these 176 00:08:23,400 --> 00:08:26,440 Speaker 1: previous studies to try to separate out the benefits of 177 00:08:26,920 --> 00:08:30,240 Speaker 1: knowing a second language with you know, other contributors to this. 178 00:08:30,400 --> 00:08:33,000 Speaker 1: So that is until a recent study of hundreds of 179 00:08:33,000 --> 00:08:36,120 Speaker 1: Scottish people. And this was over a several decades span. 180 00:08:36,559 --> 00:08:39,560 Speaker 1: So this study tracked over a thousand people and at 181 00:08:39,600 --> 00:08:42,640 Speaker 1: the beginning of the study, all the participants were around 182 00:08:42,640 --> 00:08:46,240 Speaker 1: eleven years old, and all of them spoke only one language, 183 00:08:46,240 --> 00:08:48,040 Speaker 1: and that was English. Now, this was back in the 184 00:08:48,120 --> 00:08:50,640 Speaker 1: nineteen forties. So I've got to tell you, like, I 185 00:08:50,720 --> 00:08:53,319 Speaker 1: love studies like this that spans so many decades. It's 186 00:08:53,360 --> 00:08:55,360 Speaker 1: just amazing to me. Yeah, me too. And so you 187 00:08:55,360 --> 00:08:58,560 Speaker 1: can fast forward from there to over sixty years later 188 00:08:58,600 --> 00:09:01,040 Speaker 1: when all of them were in their seventies. And so 189 00:09:01,080 --> 00:09:03,679 Speaker 1: they managed to track down about eight hundred of these 190 00:09:03,760 --> 00:09:06,560 Speaker 1: original participants, and it just so turned out that that 191 00:09:06,720 --> 00:09:09,920 Speaker 1: a third of them had learned at least one more language. 192 00:09:09,960 --> 00:09:13,160 Speaker 1: So it really made for this pretty controlled study, huh. 193 00:09:13,160 --> 00:09:15,520 Speaker 1: And so what they find, well, they found that those 194 00:09:15,559 --> 00:09:18,040 Speaker 1: who picked up a second language scored better than they 195 00:09:18,040 --> 00:09:21,160 Speaker 1: would have expected when they looked back at their original scores, 196 00:09:21,679 --> 00:09:24,160 Speaker 1: and those that had not learned a new language performed 197 00:09:24,200 --> 00:09:27,040 Speaker 1: pretty much in line with what they had expected. So it's, 198 00:09:27,080 --> 00:09:29,680 Speaker 1: you know, it's pretty strong evidence that the additional language 199 00:09:29,679 --> 00:09:32,640 Speaker 1: actually helped them. And do you have any sense of why? 200 00:09:32,720 --> 00:09:34,400 Speaker 1: I mean, you know, they can't be a d percent 201 00:09:34,559 --> 00:09:36,840 Speaker 1: certain as to why. But in thinking about what the 202 00:09:36,840 --> 00:09:40,240 Speaker 1: brain must do when speaking multiple languages, it has to 203 00:09:40,280 --> 00:09:43,880 Speaker 1: process words and both languages and then produce the appropriate 204 00:09:43,920 --> 00:09:47,160 Speaker 1: phrases and the right language. So I mean it is 205 00:09:47,240 --> 00:09:50,640 Speaker 1: some kind of a mental workout, all right. So one 206 00:09:50,679 --> 00:09:52,959 Speaker 1: more before we get to the big stuff. And this 207 00:09:53,000 --> 00:09:55,600 Speaker 1: one was totally shocked to me. And I think you said, 208 00:09:55,760 --> 00:09:57,959 Speaker 1: and I'm going to paraphrase here, that the elderly, you 209 00:09:58,040 --> 00:10:01,120 Speaker 1: need to start taking massive bond kits every mooring just 210 00:10:01,200 --> 00:10:04,240 Speaker 1: to get smarter. I'm not sure that's exactly what I said, 211 00:10:04,320 --> 00:10:07,280 Speaker 1: but they're definitely some interesting studies around the use of 212 00:10:07,360 --> 00:10:10,480 Speaker 1: th HC, which is the active ingredient in cannabis. So 213 00:10:10,520 --> 00:10:13,520 Speaker 1: that's a little different than than what you've suggested here. 214 00:10:13,559 --> 00:10:16,199 Speaker 1: But you know, over the years, many studies have pointed 215 00:10:16,240 --> 00:10:20,040 Speaker 1: to the fact that teenagers perform more poorly on memory 216 00:10:20,200 --> 00:10:23,200 Speaker 1: or attention tests when under the influence. But in some 217 00:10:23,320 --> 00:10:26,320 Speaker 1: recent studies of mice, when th HC is administered in 218 00:10:26,440 --> 00:10:30,319 Speaker 1: very controlled and very low doses to these elderly mice, 219 00:10:30,679 --> 00:10:32,960 Speaker 1: they found that these mice were able to perform certain 220 00:10:33,000 --> 00:10:36,680 Speaker 1: cognitive task at similar levels to those of mice that 221 00:10:36,760 --> 00:10:39,480 Speaker 1: were not given the substance. So this was not the 222 00:10:39,520 --> 00:10:41,640 Speaker 1: case when they were not given the th HC, which 223 00:10:41,679 --> 00:10:44,240 Speaker 1: is just crazy, and the response was very different in 224 00:10:44,280 --> 00:10:46,600 Speaker 1: the young mice. When they were given the THHC, they 225 00:10:46,640 --> 00:10:50,920 Speaker 1: actually performed much more poorly, which is which is just 226 00:10:50,960 --> 00:10:53,600 Speaker 1: super interesting to me. So I'm still a little baffled 227 00:10:53,600 --> 00:10:55,720 Speaker 1: by this idea of old people picking up this daily 228 00:10:55,760 --> 00:10:58,400 Speaker 1: marijuana have it, even if it's in like low doses, 229 00:10:58,559 --> 00:11:01,640 Speaker 1: But why does it keep younger. Well, they're focusing on 230 00:11:01,679 --> 00:11:04,840 Speaker 1: the endocannabinoid system, and this is what helps our bodies 231 00:11:04,880 --> 00:11:07,400 Speaker 1: deal with stress. So this is a system that begins 232 00:11:07,440 --> 00:11:11,520 Speaker 1: declining with age, but the THHC helps stimulate this system 233 00:11:11,559 --> 00:11:13,719 Speaker 1: and calm the mice down a little bit. So I'm 234 00:11:13,720 --> 00:11:15,880 Speaker 1: guessing they're gonna be trying this on people next Yeah, 235 00:11:15,920 --> 00:11:17,720 Speaker 1: and we do need to be clear yet again, this 236 00:11:17,800 --> 00:11:20,079 Speaker 1: does not mean that doctors are going to start prescribing 237 00:11:20,200 --> 00:11:23,400 Speaker 1: joints for the same benefit. Again, it's a very controlled 238 00:11:23,440 --> 00:11:25,920 Speaker 1: and low dosage to be administered, and so that's what 239 00:11:26,000 --> 00:11:28,560 Speaker 1: they're testing now, you know, to figure out how much 240 00:11:28,600 --> 00:11:32,680 Speaker 1: the benefit is and and at what age it's most beneficial. Okay, Well, 241 00:11:32,720 --> 00:11:35,440 Speaker 1: I honestly feel like this changes everything. I know, Like 242 00:11:35,559 --> 00:11:38,240 Speaker 1: somehow we learned that being stressed at work is great, 243 00:11:38,520 --> 00:11:42,040 Speaker 1: being a parent, forcing yourself to learn Portuguese, and possibly 244 00:11:42,280 --> 00:11:44,600 Speaker 1: just possibly picking up a low dose pot habit in 245 00:11:44,600 --> 00:11:47,560 Speaker 1: your seventies or eighties, all of that's gonna extend your life. 246 00:11:47,559 --> 00:11:50,560 Speaker 1: That's right before we get to the Big East. Like 247 00:11:50,920 --> 00:11:53,760 Speaker 1: exercise and diet and the things that will definitely boost 248 00:11:53,800 --> 00:11:56,200 Speaker 1: your chances of living longer. Why don't we get them 249 00:11:56,240 --> 00:12:02,079 Speaker 1: on the line. All right, you better buckle up. How 250 00:12:02,080 --> 00:12:04,800 Speaker 1: does it feel to be ninety just like I did 251 00:12:04,840 --> 00:12:09,000 Speaker 1: when I was young? Yeah? Because I can do everything 252 00:12:09,160 --> 00:12:12,720 Speaker 1: I did when I was younger. Yeah, I love that. 253 00:12:13,160 --> 00:12:15,080 Speaker 1: I know you've always told us that we had to 254 00:12:15,080 --> 00:12:16,800 Speaker 1: stay active. Why don't you tell us a little bit 255 00:12:16,840 --> 00:12:19,920 Speaker 1: about you know, what you do to exercise and how 256 00:12:19,960 --> 00:12:23,800 Speaker 1: you stayed active all these years? Well? Right now, I 257 00:12:23,880 --> 00:12:27,280 Speaker 1: work with Mary Beth the trainer for three days a week, 258 00:12:27,880 --> 00:12:29,840 Speaker 1: and then I try to just go right on in 259 00:12:29,960 --> 00:12:33,280 Speaker 1: and swim. And you know what kind of swimmer I am. 260 00:12:33,320 --> 00:12:37,560 Speaker 1: I certified swimming structor for years and I'm still helping. 261 00:12:37,679 --> 00:12:41,480 Speaker 1: Always try them on boys that can't swim too well. 262 00:12:42,280 --> 00:12:45,600 Speaker 1: They can ride bicycles and and do all these others, 263 00:12:45,640 --> 00:12:48,400 Speaker 1: but they're not very good swimmers. So I helped the 264 00:12:48,440 --> 00:12:53,040 Speaker 1: police investigator and a senior from Sanford just lately they 265 00:12:53,080 --> 00:12:55,640 Speaker 1: wanted to swim. And how are you? I love how 266 00:12:55,640 --> 00:12:59,240 Speaker 1: many hobbies you have and and I always say you 267 00:12:59,679 --> 00:13:03,560 Speaker 1: play got point of fourteen? Then I'm played tennis and 268 00:13:03,679 --> 00:13:07,920 Speaker 1: then uh oh, model all my life. I'm modeled everywhere 269 00:13:07,960 --> 00:13:13,880 Speaker 1: in Birmingham. So that's a bunch of fun. And I 270 00:13:13,960 --> 00:13:17,600 Speaker 1: decided to want flyer planes. Well that was a lot 271 00:13:17,679 --> 00:13:21,439 Speaker 1: of fun. And my husband was in California and I 272 00:13:21,840 --> 00:13:24,000 Speaker 1: had come back, and I said, don't let him get 273 00:13:24,000 --> 00:13:28,040 Speaker 1: scared of this. Well he started flying and he got 274 00:13:28,080 --> 00:13:30,679 Speaker 1: his license and said, that's most funds they ever had 275 00:13:30,679 --> 00:13:33,079 Speaker 1: in his life. And the guy that taught me to 276 00:13:33,160 --> 00:13:36,040 Speaker 1: fly to help the blue angels in the thunderbird, So 277 00:13:36,120 --> 00:13:41,400 Speaker 1: he was pretty good. It was an Emery riddle, so 278 00:13:41,440 --> 00:13:45,480 Speaker 1: he was very good. Well, you've obviously stayed really really active. 279 00:13:45,679 --> 00:13:47,960 Speaker 1: I was also hoping you tell us a little bit about, 280 00:13:48,800 --> 00:13:51,320 Speaker 1: you know, about your healthy eating and what kinds of 281 00:13:51,360 --> 00:13:53,600 Speaker 1: things you try to do to stay healthy. On that side, 282 00:13:54,320 --> 00:13:58,280 Speaker 1: you need now Like today, while ago, I fisted some 283 00:13:58,480 --> 00:14:04,280 Speaker 1: chicken and some fruit, and then I keep Bold eggs 284 00:14:04,320 --> 00:14:06,920 Speaker 1: in the refrigerator because they're good to go. Grab one 285 00:14:06,920 --> 00:14:10,080 Speaker 1: out of the frigerator, get your Bold eggs. And then 286 00:14:11,960 --> 00:14:16,960 Speaker 1: this is like, oh, bait, you know, chicken out. Only 287 00:14:16,960 --> 00:14:19,680 Speaker 1: eat fried foods? You no, And I eat a lot 288 00:14:19,760 --> 00:14:25,920 Speaker 1: of fruits and vegetables and just be real careful what 289 00:14:25,960 --> 00:14:29,080 Speaker 1: I eat. Now, You've always told us, though that you 290 00:14:29,160 --> 00:14:31,000 Speaker 1: got to save a little bit of room every once 291 00:14:31,000 --> 00:14:34,120 Speaker 1: in a while for for a little tree. Oh yeah, 292 00:14:34,240 --> 00:14:38,720 Speaker 1: I'm famous for banana putts. My grandson will now mind go, 293 00:14:39,000 --> 00:14:42,240 Speaker 1: I gotta make your banana. But we all in the 294 00:14:42,840 --> 00:14:45,480 Speaker 1: love those banana please man go. Yeah. I don't know 295 00:14:45,480 --> 00:14:48,080 Speaker 1: if you knew this, but when you know Michael Jordan 296 00:14:48,160 --> 00:14:50,560 Speaker 1: played for the Birmingham Barons when he played baseball in 297 00:14:50,760 --> 00:14:54,480 Speaker 1: the league for a couple of years, and Mama would 298 00:14:54,560 --> 00:14:59,640 Speaker 1: make Michael Jordan's bananas. Well, Michael Jordan was just a 299 00:15:00,120 --> 00:15:03,960 Speaker 1: or a sweet guide. Michael hit a home run when 300 00:15:04,000 --> 00:15:07,200 Speaker 1: my mother was ninety two. She went to the ball 301 00:15:07,280 --> 00:15:09,480 Speaker 1: game and she got to see if hit a home run. 302 00:15:09,640 --> 00:15:12,560 Speaker 1: So that was good. We'll tell us any any other 303 00:15:12,640 --> 00:15:15,920 Speaker 1: tips you might have about living a long, healthy life. 304 00:15:17,000 --> 00:15:20,000 Speaker 1: Oh yeah, I forgot to tell y'all. I was president 305 00:15:20,320 --> 00:15:24,600 Speaker 1: two years for the International Lady Polots. It's one of 306 00:15:24,600 --> 00:15:28,440 Speaker 1: the biggest organizations in the world. I am still a 307 00:15:28,440 --> 00:15:33,040 Speaker 1: member of him, and I meet with the ladies for 308 00:15:33,160 --> 00:15:40,400 Speaker 1: lunch and uh so we still see each other and 309 00:15:40,480 --> 00:15:45,720 Speaker 1: I like the volunteer And my favorite is Autism Society. 310 00:15:46,520 --> 00:15:50,320 Speaker 1: My little great grandson has autism and he's doing very well, 311 00:15:51,040 --> 00:15:54,200 Speaker 1: very well well that's great. Well, mamma, we uh we 312 00:15:54,200 --> 00:15:56,520 Speaker 1: we thought we would let you play a little quiz 313 00:15:56,560 --> 00:15:59,640 Speaker 1: with us if you if you don't mind, all right, 314 00:16:00,040 --> 00:16:03,240 Speaker 1: all right, so mango, we're what's our quiz called today, 315 00:16:03,320 --> 00:16:06,480 Speaker 1: It's called did it happen in Mamma's lifetime? All right, 316 00:16:06,640 --> 00:16:09,280 Speaker 1: So we're gonna read you a thing, and you're gonna 317 00:16:09,320 --> 00:16:11,200 Speaker 1: have to tell us. We're gonna read you a statement, 318 00:16:11,200 --> 00:16:13,280 Speaker 1: and you're gonna have to tell us whether it happened 319 00:16:13,320 --> 00:16:16,160 Speaker 1: in your lifetime. Now, if it happened, if you're in 320 00:16:16,200 --> 00:16:19,760 Speaker 1: your lifetime, we want you to say, that sounds about right. 321 00:16:20,200 --> 00:16:22,560 Speaker 1: And if it did not happen in your lifetime, we 322 00:16:22,640 --> 00:16:25,160 Speaker 1: want you to say, I don't know about that. We 323 00:16:25,240 --> 00:16:28,240 Speaker 1: kind of use some of your phrases. All right, Okay, 324 00:16:28,240 --> 00:16:32,600 Speaker 1: here we go, you ready, okay, all right? The invention 325 00:16:32,760 --> 00:16:37,520 Speaker 1: of shopping carts. Did it happen in mamma's lifetime? That 326 00:16:37,600 --> 00:16:40,040 Speaker 1: sounds about right? Is that true? Is she right? Yeah, 327 00:16:40,080 --> 00:16:42,320 Speaker 1: she's right. The shopping cart was invented by the owner 328 00:16:42,360 --> 00:16:46,320 Speaker 1: of the Humpty Dumpty grocery store in Okay. So Mamma's 329 00:16:46,400 --> 00:16:50,640 Speaker 1: one for one. Question number two. The invention of the 330 00:16:50,680 --> 00:16:54,280 Speaker 1: facts machine did it happen in your lifetime? I don't 331 00:16:54,280 --> 00:16:57,160 Speaker 1: know about it? Okay, is she right? Man? Yeah, she's right. 332 00:16:57,480 --> 00:17:00,320 Speaker 1: A fax machine was invented way back in eighteen forty 333 00:17:00,360 --> 00:17:02,840 Speaker 1: three by a Scottish inventor. It was actually called the 334 00:17:02,880 --> 00:17:09,040 Speaker 1: electronic printing telegraph. Okay, so she's got all right, I 335 00:17:09,080 --> 00:17:12,399 Speaker 1: got to study. Yeah, she's two out of two. Alright, 336 00:17:12,440 --> 00:17:16,560 Speaker 1: the next question, she got two left. Juicy fruit chewing gum? 337 00:17:16,640 --> 00:17:20,399 Speaker 1: Was this invented in your lifetime? I don't know about that, 338 00:17:20,520 --> 00:17:27,520 Speaker 1: but all right, so so is she right? Yeah, she's right. 339 00:17:27,600 --> 00:17:31,119 Speaker 1: Juicy fruit was introduced in eight and in case you 340 00:17:31,160 --> 00:17:33,119 Speaker 1: were wondering the juicy fruits to make up the flavor 341 00:17:33,160 --> 00:17:36,639 Speaker 1: of juicy fruit or lemon, apple, orange, and banana. Okay, 342 00:17:36,680 --> 00:17:39,680 Speaker 1: so mamma has gotten all three, right, So for the 343 00:17:39,800 --> 00:17:42,280 Speaker 1: last one, let's see if she can get a perfect score. 344 00:17:42,960 --> 00:17:47,000 Speaker 1: Chocolate chip cookies. Were they invented in your lifetime? If 345 00:17:47,040 --> 00:17:50,240 Speaker 1: you think so, you'll say that sounds about right, That 346 00:17:50,280 --> 00:17:57,760 Speaker 1: sounds about right. Yeah, four for four cookie, that's right? 347 00:17:58,840 --> 00:18:02,960 Speaker 1: Since so so so mango, mamma got four out of four. 348 00:18:03,080 --> 00:18:05,639 Speaker 1: So what she won today a whole lot of hugs 349 00:18:05,680 --> 00:18:08,760 Speaker 1: and kisses all right, would I have made a lot 350 00:18:08,800 --> 00:18:13,480 Speaker 1: of chocolate chip cookies. They're good. I agree. Thank you 351 00:18:13,520 --> 00:18:16,080 Speaker 1: so much for doing this with us today, and I 352 00:18:16,080 --> 00:18:19,040 Speaker 1: want you boys to be sweet and be good here. 353 00:18:19,440 --> 00:18:35,879 Speaker 1: All right, we will welcome back to part time genius. 354 00:18:35,920 --> 00:18:38,359 Speaker 1: All right, Mango. Now that Mamma has inspired us to 355 00:18:38,440 --> 00:18:42,240 Speaker 1: live healthier and way more enthusiastically too. But let's let's 356 00:18:42,240 --> 00:18:44,720 Speaker 1: talk about the obvious reasons that we all know can 357 00:18:44,760 --> 00:18:47,919 Speaker 1: influence how long we live and what the latest science 358 00:18:47,960 --> 00:18:49,760 Speaker 1: has to say. All right, so do you want to 359 00:18:49,800 --> 00:18:52,520 Speaker 1: start with diet? Well, I hate to tell you this, 360 00:18:52,600 --> 00:18:55,399 Speaker 1: but it doesn't appear that the Raman restaurant downstairs is 361 00:18:55,560 --> 00:18:59,439 Speaker 1: the key to are living longer. Man. That is so good. Honestly, 362 00:18:59,440 --> 00:19:01,560 Speaker 1: if you guys are ever in Pond City Market, you'll 363 00:19:01,560 --> 00:19:04,119 Speaker 1: see us at that ram and bar wat much too much. 364 00:19:04,560 --> 00:19:06,600 Speaker 1: But I know you've done some reading on the latest 365 00:19:06,600 --> 00:19:09,280 Speaker 1: diet research and and what did you find? So you 366 00:19:09,320 --> 00:19:11,560 Speaker 1: know all the studies that I've looked at significant calorie 367 00:19:11,560 --> 00:19:14,680 Speaker 1: restriction and its relationship to a long healthy life. Yeah, 368 00:19:14,680 --> 00:19:16,399 Speaker 1: it's It's been a little while since I've seen at 369 00:19:16,440 --> 00:19:18,160 Speaker 1: some of these, but you know, I feel like I've 370 00:19:18,200 --> 00:19:20,800 Speaker 1: only seen ones that are about mice or worms or 371 00:19:20,920 --> 00:19:23,400 Speaker 1: some other small creatures. So to be honest, I really 372 00:19:23,440 --> 00:19:25,119 Speaker 1: wasn't sure how close we were to saying that this 373 00:19:25,119 --> 00:19:27,680 Speaker 1: would apply to humans. Well, lucky for you were one 374 00:19:27,680 --> 00:19:31,720 Speaker 1: step closer, because now we're talking primate alright, Lucky for me, 375 00:19:32,119 --> 00:19:34,879 Speaker 1: I want to restrict my calories. I saw a really 376 00:19:34,920 --> 00:19:38,040 Speaker 1: interesting story in your favorite magazine, New Scientists about how 377 00:19:38,040 --> 00:19:40,159 Speaker 1: a long running trial and a group of monkeys or 378 00:19:40,320 --> 00:19:44,520 Speaker 1: macoux specifically found that calorie restriction led to a longer life. 379 00:19:44,840 --> 00:19:47,600 Speaker 1: Actually it was about three years, and while that doesn't 380 00:19:47,640 --> 00:19:50,960 Speaker 1: seem that long, it's equivalent about nine human years. That 381 00:19:51,080 --> 00:19:53,359 Speaker 1: is pretty significant. I mean, I guess we can't assume 382 00:19:53,400 --> 00:19:56,080 Speaker 1: that would necessarily be nine years in humans. Yeah, but 383 00:19:56,160 --> 00:19:59,000 Speaker 1: I mean i'd also just take three extra years, right, 384 00:19:59,520 --> 00:20:02,480 Speaker 1: But some researchers are hopeful that as we better understand 385 00:20:02,560 --> 00:20:05,240 Speaker 1: what calorie restriction is doing, we might be able to 386 00:20:05,280 --> 00:20:07,960 Speaker 1: come up with better anti aging medicines. And the other 387 00:20:08,000 --> 00:20:11,199 Speaker 1: thing they found in some trials calorie restriction resulted in 388 00:20:11,240 --> 00:20:14,200 Speaker 1: lower rates of cancer and heart disease. Yeah, both both 389 00:20:14,200 --> 00:20:16,320 Speaker 1: good things obviously. And you know, as you're saying this, 390 00:20:16,480 --> 00:20:20,359 Speaker 1: I decided to google calorie restriction in humans, and I 391 00:20:20,359 --> 00:20:24,280 Speaker 1: see there's something called the calorie restriction Society. So obviously 392 00:20:24,320 --> 00:20:26,880 Speaker 1: there are people already subscribing to this and thinking about 393 00:20:26,880 --> 00:20:30,280 Speaker 1: it pretty seriously. Yeah, the New Scientists reporter Clara Wilson 394 00:20:30,320 --> 00:20:32,679 Speaker 1: talks about this group in our story. They're basically on 395 00:20:32,720 --> 00:20:36,000 Speaker 1: a permanent diet of around hundred two I don't know 396 00:20:36,040 --> 00:20:38,879 Speaker 1: about eighteen hundred calories per day as compared to the 397 00:20:38,920 --> 00:20:42,960 Speaker 1: usual recommendation of two thousand. In fact, there's kind of 398 00:20:42,960 --> 00:20:45,400 Speaker 1: a funny quote at the end of Claire's story, so 399 00:20:45,440 --> 00:20:48,879 Speaker 1: she says, quote until someone's used to it, the diet 400 00:20:48,920 --> 00:20:52,840 Speaker 1: involves planning every meal with precision, and side effects can 401 00:20:52,880 --> 00:20:57,159 Speaker 1: include feeling cold and reduced libido. And story, that's the 402 00:20:57,240 --> 00:21:00,160 Speaker 1: last line. I kind of wonder how many people had 403 00:21:00,200 --> 00:21:02,000 Speaker 1: the whole story, got all the way to that final 404 00:21:02,080 --> 00:21:03,880 Speaker 1: quote and they were like, Okay, I'm out. I can't 405 00:21:03,880 --> 00:21:06,800 Speaker 1: do this. But it is interesting and it does seem 406 00:21:06,840 --> 00:21:08,960 Speaker 1: like science is starting to point us in the direction 407 00:21:08,960 --> 00:21:12,440 Speaker 1: of calorie restriction being beneficial to humans, So it will 408 00:21:12,480 --> 00:21:15,200 Speaker 1: be interesting to watch where this goes. Yeah, so there 409 00:21:15,280 --> 00:21:17,480 Speaker 1: was this interesting thing that A. J. Jacob's our friend 410 00:21:17,480 --> 00:21:19,520 Speaker 1: wrote a while back where he was talking about visiting 411 00:21:19,560 --> 00:21:22,760 Speaker 1: some folks from the calorie restriction Society, and they basically 412 00:21:22,880 --> 00:21:26,880 Speaker 1: meditate on each piece of food. They like slowly meditate 413 00:21:26,920 --> 00:21:29,159 Speaker 1: on it to savor it. And they show him how 414 00:21:29,200 --> 00:21:32,720 Speaker 1: to eat a single blueberry, and first they smell it, 415 00:21:33,040 --> 00:21:35,240 Speaker 1: then they think about how delicious it's going to taste 416 00:21:35,240 --> 00:21:37,159 Speaker 1: from the scent of it, and how it's going to 417 00:21:37,240 --> 00:21:39,280 Speaker 1: feel in their mouth, and then they put it in 418 00:21:39,320 --> 00:21:42,000 Speaker 1: their mouth, but tell him not to bite until he's ready. 419 00:21:42,160 --> 00:21:46,000 Speaker 1: It's like tantric eating sounds like a Portland sketch, and 420 00:21:46,119 --> 00:21:47,960 Speaker 1: all he wants to do is bite, but they tell 421 00:21:48,000 --> 00:21:50,800 Speaker 1: him to consider the blueberry skin and the texture and 422 00:21:50,800 --> 00:21:54,080 Speaker 1: the tannins and savor every little segment of the fruit. 423 00:21:54,119 --> 00:21:56,240 Speaker 1: Is it burst full of flavor in his mouth? And 424 00:21:56,240 --> 00:21:58,119 Speaker 1: then he's supposed to chew it way more than you're 425 00:21:58,160 --> 00:22:01,080 Speaker 1: supposed to choose, something like forty times of side or something. 426 00:22:01,119 --> 00:22:04,639 Speaker 1: And they literally spend like fifteen minutes on the blueberry. 427 00:22:04,720 --> 00:22:06,720 Speaker 1: That just seems like way too much work. I know, 428 00:22:06,800 --> 00:22:09,280 Speaker 1: I'd wolfed down two cartons and blueberries in that time. 429 00:22:09,320 --> 00:22:12,480 Speaker 1: But supposedly when you slow yourself down and eating your 430 00:22:12,480 --> 00:22:15,040 Speaker 1: head catches up and realizes you're fuller than you think. 431 00:22:15,240 --> 00:22:17,160 Speaker 1: All right, So there are obviously lots of other food 432 00:22:17,240 --> 00:22:19,480 Speaker 1: related studies, and you know, showing what we should and 433 00:22:19,520 --> 00:22:21,440 Speaker 1: shouldn't eat. And so what else did you find in 434 00:22:21,480 --> 00:22:24,920 Speaker 1: your research? Well, beyond the usual it's healthy to eat 435 00:22:24,960 --> 00:22:28,840 Speaker 1: fruits and vegetables mantra, which apparently, I'm happy to report, 436 00:22:28,880 --> 00:22:31,840 Speaker 1: is still healthy to do. It is interesting to see 437 00:22:31,880 --> 00:22:34,640 Speaker 1: the studies on populations around the world that lived the longest. 438 00:22:34,760 --> 00:22:37,239 Speaker 1: So in most of those you'll find people getting more 439 00:22:37,280 --> 00:22:40,920 Speaker 1: than their food from plants. So you think about fruits 440 00:22:41,040 --> 00:22:44,520 Speaker 1: or veggies, whole grains and beans, and and of course 441 00:22:44,560 --> 00:22:48,080 Speaker 1: you know leafy greens, which are obviously important, maybe the 442 00:22:48,119 --> 00:22:50,879 Speaker 1: most important. So multiple studies have shown that eating a 443 00:22:50,920 --> 00:22:54,240 Speaker 1: cup of cooked greens every single day significantly reduced the 444 00:22:54,280 --> 00:22:56,439 Speaker 1: likelihood that someone in the middle age would die in 445 00:22:56,440 --> 00:22:59,320 Speaker 1: the next four years. I don't know what daily leafy greens. 446 00:22:59,359 --> 00:23:02,640 Speaker 1: That seems a little excessive, though, So where do where 447 00:23:02,680 --> 00:23:05,359 Speaker 1: do biscuits fit into this? All right? Give me the 448 00:23:05,440 --> 00:23:07,919 Speaker 1: rundown on the rest. I know I've been waiting for 449 00:23:07,960 --> 00:23:11,080 Speaker 1: that all biscuit diet to come out, so but until 450 00:23:11,119 --> 00:23:13,679 Speaker 1: it does, here's what we do now. So one study 451 00:23:13,720 --> 00:23:16,800 Speaker 1: which followed nearly a hundred thousand Americans since two thousand two, 452 00:23:17,119 --> 00:23:19,280 Speaker 1: the ones who lived the longest were those who followed 453 00:23:19,280 --> 00:23:21,520 Speaker 1: a plant based diet and had a small portion of 454 00:23:21,520 --> 00:23:24,320 Speaker 1: fish a handful of times per week. And then the 455 00:23:24,320 --> 00:23:27,000 Speaker 1: next thing is eggs. While they're good for us, we 456 00:23:27,080 --> 00:23:28,919 Speaker 1: might be overdoing it on the number of eggs we 457 00:23:28,960 --> 00:23:31,119 Speaker 1: eat at a time, so we should probably be aiming 458 00:23:31,119 --> 00:23:33,560 Speaker 1: for more like three a week. Three a week. It's 459 00:23:33,600 --> 00:23:37,560 Speaker 1: like a meal. So we should all eat half a 460 00:23:37,600 --> 00:23:40,720 Speaker 1: cup of cooked beans each day, and a couple of 461 00:23:40,760 --> 00:23:43,600 Speaker 1: handfuls of nuts per day. And of course, uh, we 462 00:23:43,640 --> 00:23:45,760 Speaker 1: eat way too much sugar. I feel like I could 463 00:23:45,760 --> 00:23:47,720 Speaker 1: do most of those. The challenge I think for me 464 00:23:47,800 --> 00:23:49,760 Speaker 1: would be with nuts. When they say they're healthy to 465 00:23:49,800 --> 00:23:52,000 Speaker 1: eat like, I eat them by the handfuls, So I 466 00:23:52,000 --> 00:23:54,040 Speaker 1: think it'd be tough to pull that off. All right, 467 00:23:54,119 --> 00:23:57,680 Speaker 1: So what's the latest on drinking. I'm I'm still gonna 468 00:23:57,720 --> 00:24:00,280 Speaker 1: stand by the two thousand ten study from the Journal 469 00:24:00,320 --> 00:24:03,680 Speaker 1: of the American College of Cardiology, which just sounds so efficient, 470 00:24:03,960 --> 00:24:07,760 Speaker 1: very official, whatever they say, So that studies showed the 471 00:24:07,800 --> 00:24:10,560 Speaker 1: benefits of light daily drinking, which means one drink for 472 00:24:10,600 --> 00:24:13,560 Speaker 1: women and two for men, with red wine being the winner. 473 00:24:13,920 --> 00:24:16,719 Speaker 1: All right, so we've got nuts, beans, greens, and red wine, 474 00:24:16,840 --> 00:24:19,119 Speaker 1: but not too much. Got it? All right, I'm going 475 00:24:19,160 --> 00:24:20,800 Speaker 1: to be healthier from here on out. So let's let's 476 00:24:20,840 --> 00:24:23,639 Speaker 1: talk about exercise now. And again, we know that exercise 477 00:24:23,720 --> 00:24:26,119 Speaker 1: is important, that's nothing new, but let's look at what 478 00:24:26,160 --> 00:24:29,000 Speaker 1: the latest research shows and and particularly the latest on 479 00:24:29,040 --> 00:24:32,439 Speaker 1: what seems to slow down our bodies decline. Well, you 480 00:24:32,480 --> 00:24:34,920 Speaker 1: were telling you earlier this week about the studies on HIT. 481 00:24:35,160 --> 00:24:38,399 Speaker 1: That's high intensity interval training. That's right, Yeah, there's definitely 482 00:24:38,440 --> 00:24:41,080 Speaker 1: been some really interesting research on this. So so high 483 00:24:41,080 --> 00:24:44,160 Speaker 1: intensity interval training is when you exercise with the short 484 00:24:44,240 --> 00:24:47,440 Speaker 1: burst of intense activity is the name suggests, and then 485 00:24:47,480 --> 00:24:49,840 Speaker 1: you add in these recovery periods where you have you know, 486 00:24:49,920 --> 00:24:53,440 Speaker 1: more more low intensity movement. So you mean like this 487 00:24:54,440 --> 00:24:58,000 Speaker 1: and uh and then like you got it? I like 488 00:24:58,040 --> 00:25:00,359 Speaker 1: how you knocked down that miniature Snickers bar up the table. 489 00:25:00,359 --> 00:25:02,120 Speaker 1: When you did that, you kind of killed two birds 490 00:25:02,160 --> 00:25:04,320 Speaker 1: with one stone there, Good job, all right, But one 491 00:25:04,359 --> 00:25:07,359 Speaker 1: study led led by sure Kumara and Naya at the 492 00:25:07,440 --> 00:25:10,920 Speaker 1: Mayo Clinic in Minnesota had two age ranges that they 493 00:25:10,920 --> 00:25:13,440 Speaker 1: were looking at, so he was looking at eighteen to 494 00:25:13,560 --> 00:25:16,080 Speaker 1: thirty year olds and then again at sixty five to 495 00:25:16,200 --> 00:25:18,920 Speaker 1: eight year olds. And with each of these ranges they 496 00:25:18,920 --> 00:25:22,520 Speaker 1: had them do three months of exercise. So some only 497 00:25:22,520 --> 00:25:25,440 Speaker 1: did interval training, sub did weight training, and some did 498 00:25:25,440 --> 00:25:27,959 Speaker 1: a combination of both. So I think we already gave 499 00:25:28,000 --> 00:25:30,640 Speaker 1: away the punchline on this, but what they find, we did. 500 00:25:30,680 --> 00:25:33,159 Speaker 1: But it is still really interesting to see what they found. 501 00:25:33,160 --> 00:25:35,520 Speaker 1: So they found that the interval training had the greatest 502 00:25:35,560 --> 00:25:38,840 Speaker 1: impact on the mitochondria and cells and their ability to 503 00:25:38,960 --> 00:25:41,800 Speaker 1: generate energy. And we're not talking about a small amount. 504 00:25:41,800 --> 00:25:44,919 Speaker 1: We're talking nearly seventy in the older group and just 505 00:25:45,040 --> 00:25:47,440 Speaker 1: shy of fifty in the younger group. I mean that's 506 00:25:47,440 --> 00:25:50,679 Speaker 1: pretty significant. Yeah, it is. And it's extra significant because 507 00:25:51,080 --> 00:25:54,639 Speaker 1: microchondrial activity is something we see declining as we get older, 508 00:25:54,880 --> 00:25:57,080 Speaker 1: which has an effect on our muscles. Yeah, and and 509 00:25:57,280 --> 00:25:59,920 Speaker 1: that decline was not only stopped for the older group, 510 00:26:00,040 --> 00:26:03,280 Speaker 1: but in some it was actually reversed. Here's what Nier 511 00:26:03,359 --> 00:26:06,359 Speaker 1: said about it. He said, after three months of interval training, 512 00:26:06,480 --> 00:26:09,919 Speaker 1: everything converged towards what we saw in young people. So 513 00:26:09,960 --> 00:26:12,640 Speaker 1: in addition to those benefits, the interval trainers also saw 514 00:26:12,720 --> 00:26:16,480 Speaker 1: benefits and their lungs, their hearts, their overall circulation. So 515 00:26:16,640 --> 00:26:19,920 Speaker 1: weight training is beneficial in building muscle mass, but that's 516 00:26:19,920 --> 00:26:22,719 Speaker 1: a different benefit from what we're talking about with our mitochondria, right, 517 00:26:22,920 --> 00:26:24,920 Speaker 1: And I'm glad you clarified that, And I'm also glad 518 00:26:24,920 --> 00:26:27,199 Speaker 1: that we're talking about exercise in general. You know, a 519 00:26:27,240 --> 00:26:29,480 Speaker 1: few episodes back, we were talking about the fact that 520 00:26:29,600 --> 00:26:32,840 Speaker 1: exercise doesn't have that much of an impact on our 521 00:26:32,880 --> 00:26:35,400 Speaker 1: attempt to lose weight, and I know we were both 522 00:26:35,440 --> 00:26:37,240 Speaker 1: a little bit nervous that some might take that to 523 00:26:37,280 --> 00:26:40,280 Speaker 1: mean that there was no reason to exercise, And obviously 524 00:26:40,440 --> 00:26:42,680 Speaker 1: that's not true. I mean, there's a ton of benefit 525 00:26:42,720 --> 00:26:46,640 Speaker 1: to exercising. It's incredibly important in helping us live longer 526 00:26:47,040 --> 00:26:49,920 Speaker 1: and healthier. And you know, there's so many studies, including 527 00:26:49,960 --> 00:26:52,119 Speaker 1: this one, that backed that up. There have been multiple 528 00:26:52,160 --> 00:26:55,520 Speaker 1: studies that shown regular high intensity interval training could add 529 00:26:55,560 --> 00:26:57,920 Speaker 1: years to a person's life. So, just to be clear 530 00:26:57,920 --> 00:27:01,840 Speaker 1: for our listeners, exercises goods, smoking not so much. Yeah, 531 00:27:02,040 --> 00:27:03,680 Speaker 1: we should have saved those gems for the fact of 532 00:27:03,800 --> 00:27:07,320 Speaker 1: thing of well, we've covered the bigg ease. So we 533 00:27:07,320 --> 00:27:09,840 Speaker 1: should also talk about the latest anti aging treatments and 534 00:27:09,880 --> 00:27:12,199 Speaker 1: what their futures look like. But before we do that, 535 00:27:12,320 --> 00:27:14,880 Speaker 1: let's talk about longevity and the Longevity Project with our 536 00:27:14,920 --> 00:27:17,560 Speaker 1: next guest. He's no mammal, but all right, let's get 537 00:27:17,640 --> 00:27:25,760 Speaker 1: him on. Our guest today is the distinguished Professor in 538 00:27:25,800 --> 00:27:29,280 Speaker 1: the Department of Psychology at the University of California, Riverside, 539 00:27:29,560 --> 00:27:31,560 Speaker 1: and we're talking to him today about his book, The 540 00:27:31,600 --> 00:27:36,040 Speaker 1: Longevity Project. Howard Friedman, Welcome to Part Time Genius. Thank 541 00:27:36,040 --> 00:27:38,880 Speaker 1: it's always great to talk about promoting health and long life. Well, 542 00:27:38,880 --> 00:27:40,919 Speaker 1: it's terrific. Well, it's great to have you on, you know, 543 00:27:40,960 --> 00:27:44,040 Speaker 1: and it's really interesting to to read about this more 544 00:27:44,080 --> 00:27:46,560 Speaker 1: than two decade long journey that you and your co 545 00:27:46,680 --> 00:27:49,720 Speaker 1: author Leslie Martin took as you were looking at all 546 00:27:49,720 --> 00:27:52,560 Speaker 1: of this interesting data, and it's it's not often that 547 00:27:52,640 --> 00:27:57,000 Speaker 1: you have access to data spanning over eighty years following 548 00:27:57,040 --> 00:27:59,680 Speaker 1: the you know, the health and wellness of over a 549 00:27:59,760 --> 00:28:02,720 Speaker 1: thou and different children and their their lifespan. But for 550 00:28:02,760 --> 00:28:06,239 Speaker 1: our listeners who aren't familiar with the Longevity Project and 551 00:28:06,240 --> 00:28:08,800 Speaker 1: the study that you guys have been looking at over 552 00:28:08,840 --> 00:28:10,720 Speaker 1: this period of time. Could you give just a brief 553 00:28:10,800 --> 00:28:13,639 Speaker 1: overview of what this project was all about. Ure, We 554 00:28:13,720 --> 00:28:17,479 Speaker 1: always want to understand what makes people happy and healthy 555 00:28:17,520 --> 00:28:20,240 Speaker 1: and live long over the long term. But it's hard 556 00:28:20,240 --> 00:28:22,199 Speaker 1: to do that. You have to follow a bunch of 557 00:28:22,200 --> 00:28:25,000 Speaker 1: people for their whole lives, and obviously we would be 558 00:28:25,040 --> 00:28:27,439 Speaker 1: long gone before we could complete the study like that. 559 00:28:27,600 --> 00:28:31,840 Speaker 1: So we were able to access some archival data from 560 00:28:31,840 --> 00:28:35,960 Speaker 1: a study that was started back in study of California 561 00:28:36,200 --> 00:28:38,520 Speaker 1: children who were about ten years old of the time, 562 00:28:39,080 --> 00:28:41,680 Speaker 1: and they were recruited by Professor lewis Terman and they 563 00:28:41,680 --> 00:28:44,200 Speaker 1: were followed every five to ten years ever since then. 564 00:28:44,240 --> 00:28:46,160 Speaker 1: We picked up the study now it's about twenty five 565 00:28:46,200 --> 00:28:48,560 Speaker 1: years ago, and we met some of the people and 566 00:28:48,640 --> 00:28:51,680 Speaker 1: followed some of the people and um we also um 567 00:28:51,840 --> 00:28:54,520 Speaker 1: gathered the death certificates on those who had passed away, 568 00:28:54,520 --> 00:28:57,840 Speaker 1: and so we know throughout their whole lives, what activities 569 00:28:57,880 --> 00:29:01,880 Speaker 1: people engaged in, everything about them and who lived long 570 00:29:01,960 --> 00:29:05,680 Speaker 1: and who who who died young stay happy, and who thrived. Yeah, 571 00:29:05,720 --> 00:29:08,200 Speaker 1: that's pretty amazing and so looking at all these factors 572 00:29:08,240 --> 00:29:12,320 Speaker 1: that contributed to either a long life or perhaps um 573 00:29:12,360 --> 00:29:14,360 Speaker 1: you know, dying at certain ages what what would you 574 00:29:14,400 --> 00:29:16,800 Speaker 1: say in doing these studies? Were some of the bigger 575 00:29:16,800 --> 00:29:19,520 Speaker 1: surprises coming out of the research. Well, one of the 576 00:29:19,560 --> 00:29:23,680 Speaker 1: most interesting things was that people who were very responsible 577 00:29:23,680 --> 00:29:27,000 Speaker 1: and conscientious, Um, they actually thrived throughout their lives and 578 00:29:27,240 --> 00:29:30,840 Speaker 1: they live happy lives. So we often think, well, why 579 00:29:31,080 --> 00:29:33,600 Speaker 1: why not just live it up? Um? But in fact, 580 00:29:34,000 --> 00:29:38,880 Speaker 1: the people who actually got involved with things had good marriages, 581 00:29:38,920 --> 00:29:42,640 Speaker 1: had good education, had good work, kind of the people 582 00:29:42,680 --> 00:29:44,600 Speaker 1: you would say are the responsible people in the world. 583 00:29:44,960 --> 00:29:47,800 Speaker 1: They actually became happier and happier as they as life 584 00:29:47,800 --> 00:29:50,480 Speaker 1: went on, and maybe also we stayed healthy and lived 585 00:29:50,480 --> 00:29:53,120 Speaker 1: a long time. So the book was published a few 586 00:29:53,200 --> 00:29:55,040 Speaker 1: years ago, and I was curious to hear if there 587 00:29:55,120 --> 00:29:59,400 Speaker 1: been any any new development since you guys published. Yes, 588 00:29:59,480 --> 00:30:02,560 Speaker 1: we used following the people. Um, there's only a few 589 00:30:02,600 --> 00:30:06,600 Speaker 1: still alive. One I went to his hundred and fourth birthday, 590 00:30:06,640 --> 00:30:10,080 Speaker 1: which was great. Uh. And he kind of lived a 591 00:30:10,120 --> 00:30:11,800 Speaker 1: lot of the kinds of things we talked about in 592 00:30:11,840 --> 00:30:15,640 Speaker 1: the Longevity project. He had a good marriage, important for men, 593 00:30:15,680 --> 00:30:19,200 Speaker 1: He was very conscientious. He they stayed working and more 594 00:30:19,240 --> 00:30:22,320 Speaker 1: and more researchers finding that people who stay involved keep 595 00:30:22,360 --> 00:30:25,480 Speaker 1: working take on new challenges to remain fresh and in 596 00:30:25,520 --> 00:30:28,320 Speaker 1: a moment. Those are key part of on long term 597 00:30:28,360 --> 00:30:31,760 Speaker 1: healthy patterns. So UM, it's these patterns that come first. 598 00:30:31,800 --> 00:30:35,120 Speaker 1: They lead to both health and happiness. UM. So so 599 00:30:35,160 --> 00:30:38,400 Speaker 1: that we're finding that the determined participants, the people we 600 00:30:38,400 --> 00:30:41,400 Speaker 1: were studying, they didn't really were very happy. UM, they 601 00:30:41,400 --> 00:30:43,240 Speaker 1: didn't live in the end of what we call m 602 00:30:43,240 --> 00:30:45,400 Speaker 1: I call you know, self esteem clinics and indulge in 603 00:30:45,480 --> 00:30:48,120 Speaker 1: parents and UM. It was the people who were out 604 00:30:48,120 --> 00:30:50,320 Speaker 1: there doing things, making the most out of their life. 605 00:30:50,360 --> 00:30:54,160 Speaker 1: So I'm talking more these days. We're finding support for 606 00:30:54,200 --> 00:30:57,680 Speaker 1: an idea which we sometimes call healthy neuroticism. So people 607 00:30:57,720 --> 00:31:02,160 Speaker 1: who were worrying, you always here, don't worry, take it easy. Stress. 608 00:31:02,200 --> 00:31:04,160 Speaker 1: But that turns out to be bad advice. I mean, 609 00:31:04,160 --> 00:31:06,640 Speaker 1: if if you're chronically stressed for years and years and 610 00:31:06,680 --> 00:31:09,640 Speaker 1: you can't sleep, that's bad. But for most people, if 611 00:31:09,640 --> 00:31:13,080 Speaker 1: you take on challenges, that's good. And in fact, the 612 00:31:13,080 --> 00:31:15,640 Speaker 1: participants regretted when they look back in the lives and 613 00:31:15,680 --> 00:31:17,960 Speaker 1: things they didn't do, not the things that they did do. 614 00:31:18,440 --> 00:31:21,960 Speaker 1: So people who get involved UM and and try things, 615 00:31:22,320 --> 00:31:24,800 Speaker 1: that's that's a kind of healthy curiosity, a healthy stress 616 00:31:24,880 --> 00:31:27,760 Speaker 1: that UM we're finding more and more can be important. 617 00:31:28,240 --> 00:31:31,680 Speaker 1: So rather than kind of fretting themselves to death, these 618 00:31:31,680 --> 00:31:35,640 Speaker 1: people were concerned enough to to keep themselves alive. In fact, 619 00:31:36,120 --> 00:31:38,360 Speaker 1: like you said, my co authors a lunge every project, 620 00:31:39,120 --> 00:31:41,920 Speaker 1: Doctor Leslie Martin, she she lives her life very much 621 00:31:41,960 --> 00:31:44,640 Speaker 1: like that. She was just in Uganda tracking the guerrillas 622 00:31:44,680 --> 00:31:47,479 Speaker 1: and she's always off somewhere. She ran across the Para desert. 623 00:31:48,560 --> 00:31:50,520 Speaker 1: So um, but you know, she's very healthy and happy. 624 00:31:50,520 --> 00:31:52,520 Speaker 1: And that that's typically what we found and it kind 625 00:31:52,560 --> 00:31:54,600 Speaker 1: of inspired both of us to do more of that, 626 00:31:54,640 --> 00:31:57,280 Speaker 1: just to stay active, stay involved. And so some of 627 00:31:57,320 --> 00:32:00,200 Speaker 1: those new findings are being confirmed by both ourselves and 628 00:32:00,320 --> 00:32:03,280 Speaker 1: by others as well. Yeah. That that's That's what I'm 629 00:32:03,320 --> 00:32:05,520 Speaker 1: curious to you about, was how how have you changed 630 00:32:05,520 --> 00:32:08,280 Speaker 1: your life since doing this project and understanding the learnings. 631 00:32:08,800 --> 00:32:10,800 Speaker 1: One of the other things is, um, you know, stay 632 00:32:10,880 --> 00:32:12,600 Speaker 1: stay active. So you don't have to be going to 633 00:32:12,640 --> 00:32:15,640 Speaker 1: the gym every day for hours and hours, but just 634 00:32:15,680 --> 00:32:17,600 Speaker 1: getting up and out of your chair is is very 635 00:32:17,640 --> 00:32:21,640 Speaker 1: important and so UM, we do a lot more of that. Um. 636 00:32:21,680 --> 00:32:23,520 Speaker 1: You know, I just if there's something to get up 637 00:32:23,520 --> 00:32:24,600 Speaker 1: and do, I just get up and do it. And 638 00:32:24,640 --> 00:32:26,240 Speaker 1: if I have to go down the stairs to get something, 639 00:32:26,240 --> 00:32:28,000 Speaker 1: I don't call down to somebody, you know, I go 640 00:32:28,040 --> 00:32:30,640 Speaker 1: down the stairs. But the other thing that's very important 641 00:32:30,680 --> 00:32:33,960 Speaker 1: that people can do is be um socially involved with 642 00:32:34,080 --> 00:32:36,800 Speaker 1: other healthy people. So you know, you know who your 643 00:32:36,800 --> 00:32:39,600 Speaker 1: friends are, who are basically good influences, who are doing 644 00:32:39,600 --> 00:32:43,080 Speaker 1: healthy things, doing productive things, doing worthwhile things, and then 645 00:32:44,400 --> 00:32:47,200 Speaker 1: you know, I really turned down invitations to associate with 646 00:32:47,200 --> 00:32:49,920 Speaker 1: those people. So that what's the one thing you could 647 00:32:49,920 --> 00:32:53,440 Speaker 1: do to live a happy and thriving and long life. 648 00:32:53,440 --> 00:32:56,720 Speaker 1: It would probably be to look around and so and 649 00:32:56,720 --> 00:32:59,440 Speaker 1: see who you're you're healthy and thriving friends are and 650 00:32:59,560 --> 00:33:02,240 Speaker 1: try to associate more with those. So that's that's a 651 00:33:02,320 --> 00:33:04,560 Speaker 1: kind of conscious change you could make. You know, am 652 00:33:04,560 --> 00:33:06,680 Speaker 1: I too busy? Or should I do this? And how 653 00:33:06,760 --> 00:33:08,840 Speaker 1: much more likely these days to say I'm gonna go 654 00:33:08,880 --> 00:33:11,760 Speaker 1: do that. Oh that's good, that's good, We're good for you. Well, 655 00:33:11,760 --> 00:33:15,240 Speaker 1: it's been so fascinating reading about this project and chatting 656 00:33:15,240 --> 00:33:17,440 Speaker 1: with you about this, So Dr Freeman, thanks so much 657 00:33:17,440 --> 00:33:31,440 Speaker 1: for joining us on Part Time Genius. Welcome back to 658 00:33:31,480 --> 00:33:34,680 Speaker 1: Part Time Genius. Now we've talked about diet and exercise. 659 00:33:34,760 --> 00:33:37,240 Speaker 1: But let's talk about the fortunes being invested in the 660 00:33:37,280 --> 00:33:40,200 Speaker 1: development of anti aging treatments. Yeah, now that we've managed 661 00:33:40,240 --> 00:33:43,600 Speaker 1: to extend the human lifespan significantly, researchers are focused on 662 00:33:43,640 --> 00:33:46,280 Speaker 1: how to improve that quality of longer life, and there 663 00:33:46,280 --> 00:33:49,400 Speaker 1: are several really interesting possibilities being explored. So I want 664 00:33:49,480 --> 00:33:51,840 Speaker 1: to talk about another New Scientist article we're looking at, 665 00:33:51,880 --> 00:33:54,160 Speaker 1: and this one's by Jessica hams Alu. Yeah, that's a 666 00:33:54,160 --> 00:33:55,800 Speaker 1: good call. So all right, Well, one of the first 667 00:33:55,840 --> 00:33:58,280 Speaker 1: treatments she talks about is that of the the young 668 00:33:58,400 --> 00:34:01,280 Speaker 1: blood plasma theory, and she writes about this she says, 669 00:34:01,680 --> 00:34:03,920 Speaker 1: the idea is that there's something in the blood of 670 00:34:03,960 --> 00:34:07,320 Speaker 1: people under twenty five that keeps them youthful, although we 671 00:34:07,400 --> 00:34:09,440 Speaker 1: don't yet know what it is. Yeah, they kind of 672 00:34:09,520 --> 00:34:11,960 Speaker 1: made fun of the tech billionaire obsession with this on 673 00:34:12,040 --> 00:34:15,080 Speaker 1: Silicon Valley and tech bulonaires having these blood boys on hand. 674 00:34:15,120 --> 00:34:17,680 Speaker 1: But in the studies they've done on older mice who 675 00:34:17,680 --> 00:34:20,560 Speaker 1: were injected with plasma from younger mice, the results were 676 00:34:20,600 --> 00:34:24,000 Speaker 1: strangely promising. Like they even tested the injection of plasma 677 00:34:24,040 --> 00:34:27,120 Speaker 1: from human teens into these older mice and both cases 678 00:34:27,120 --> 00:34:29,520 Speaker 1: the older mice end up more active and show fewer 679 00:34:29,560 --> 00:34:32,400 Speaker 1: signs of aging. Well, and that Silicon Valley show wasn't 680 00:34:32,440 --> 00:34:35,240 Speaker 1: wrong about this. I mean, while we're still lacking rigorous 681 00:34:35,280 --> 00:34:38,200 Speaker 1: clinical trials for what this will do for humans, it 682 00:34:38,280 --> 00:34:42,719 Speaker 1: hasn't stopped businesses from developing around these plasma transfusions. There's 683 00:34:42,760 --> 00:34:45,799 Speaker 1: even a company in California called Ambrosia and that you 684 00:34:45,840 --> 00:34:47,600 Speaker 1: can go there and you can get this young blood 685 00:34:47,640 --> 00:34:50,040 Speaker 1: plasma transfusion. You know, if you if you've just got 686 00:34:50,120 --> 00:34:52,600 Speaker 1: eight thousand dollars to spend on this, I mean, if 687 00:34:52,600 --> 00:34:55,320 Speaker 1: you knew this would work, I could actually see paying 688 00:34:55,400 --> 00:34:57,560 Speaker 1: for that, you know, But I think I made hold 689 00:34:57,600 --> 00:34:59,960 Speaker 1: off just a little bit. But still, according to the 690 00:35:00,080 --> 00:35:03,720 Speaker 1: company's founder, Jesse Carmazin, the people who have been treated 691 00:35:03,719 --> 00:35:08,200 Speaker 1: are already reporting benefits and cognition, muscle strength, and energy level. 692 00:35:08,640 --> 00:35:11,040 Speaker 1: But again, I mean that's an evangelist speaking. So we 693 00:35:11,200 --> 00:35:14,560 Speaker 1: need real clinical trials to be conducted before the verdicts out. Yeah, 694 00:35:14,760 --> 00:35:17,160 Speaker 1: it'll be interesting to see what happens, all right. So 695 00:35:17,680 --> 00:35:21,080 Speaker 1: the next treatment Hanzlou covers is related to our telomeres. Well, 696 00:35:21,120 --> 00:35:22,759 Speaker 1: I think we should pause for a minute remind our 697 00:35:22,800 --> 00:35:25,719 Speaker 1: listeners what telomeres are and buy our listeners. I mean, 698 00:35:25,760 --> 00:35:31,279 Speaker 1: can can you remind me? So? Telomeres are our DNA protectors. 699 00:35:31,440 --> 00:35:33,600 Speaker 1: There are the caps at the end of chromosomes, and 700 00:35:33,600 --> 00:35:36,280 Speaker 1: and there's a strong correlation between the length of telomeres 701 00:35:36,280 --> 00:35:39,520 Speaker 1: and aging. So you know, like every every time a 702 00:35:39,560 --> 00:35:42,479 Speaker 1: cell divides, these caps shrink, and this process takes place 703 00:35:42,560 --> 00:35:46,680 Speaker 1: until there's simply too small to provide meaningful protection. And 704 00:35:46,920 --> 00:35:50,400 Speaker 1: after that the cells either die or they're significantly damaged, 705 00:35:50,440 --> 00:35:53,440 Speaker 1: and the cells around them can become damaged too. In fact, 706 00:35:53,520 --> 00:35:56,800 Speaker 1: even before we start aging, those born with shorter telomeres 707 00:35:56,800 --> 00:35:59,600 Speaker 1: are are way more likely developed age related diseases at 708 00:35:59,640 --> 00:36:03,000 Speaker 1: younger ages. Nicely done, good description there, Mango, all right. 709 00:36:03,000 --> 00:36:05,319 Speaker 1: So we're starting to see more research on them and 710 00:36:05,520 --> 00:36:08,520 Speaker 1: from people like Maria Blastco. She's at the Spanish National 711 00:36:08,600 --> 00:36:11,680 Speaker 1: Cancer Research Center in Madrid, and her team has been 712 00:36:11,680 --> 00:36:14,759 Speaker 1: working on ways to extend telomeres and mice and and 713 00:36:14,840 --> 00:36:17,720 Speaker 1: they're doing this through gene therapy and they've been pretty 714 00:36:17,760 --> 00:36:19,680 Speaker 1: successful at what they're doing with some of these mice. 715 00:36:19,680 --> 00:36:21,640 Speaker 1: They've been able to extend their lives by as much 716 00:36:21,640 --> 00:36:25,879 Speaker 1: as that's crazy, So it's definitely fascinating, though there's still 717 00:36:25,920 --> 00:36:27,400 Speaker 1: a ton of work to be done and it's not 718 00:36:27,480 --> 00:36:29,800 Speaker 1: something that's really ready to be practiced on people yet. 719 00:36:29,920 --> 00:36:32,120 Speaker 1: So again that that that has not stopped a few 720 00:36:32,160 --> 00:36:35,440 Speaker 1: companies from introducing gene therapy treatments to you know, targeting 721 00:36:35,440 --> 00:36:38,239 Speaker 1: these telemeres. Yeah, it definitely hasn't. Some of them are 722 00:36:38,320 --> 00:36:41,560 Speaker 1: self reporting successful growth of telomeres and that patients feel 723 00:36:41,640 --> 00:36:45,200 Speaker 1: like twenty years younger. But again that's self reporting and 724 00:36:45,239 --> 00:36:47,799 Speaker 1: something I'd hold off on trusting. Yeah, me too, Me too. 725 00:36:47,840 --> 00:36:50,040 Speaker 1: Now we we should also talk about the services that 726 00:36:50,080 --> 00:36:53,719 Speaker 1: are being marketed that are less about anti aging treatments 727 00:36:53,760 --> 00:36:56,920 Speaker 1: and really more about better understanding our genome or our 728 00:36:57,040 --> 00:37:01,040 Speaker 1: microbiome through scans and blood tests and all these other evaluations. 729 00:37:01,440 --> 00:37:02,920 Speaker 1: So I guess the idea here is that if we 730 00:37:03,000 --> 00:37:05,840 Speaker 1: know a bit more about the underlying health issues we 731 00:37:05,920 --> 00:37:08,799 Speaker 1: might be developing or what we're at risk of, then 732 00:37:08,960 --> 00:37:11,520 Speaker 1: you know, we can begin working on an early treatment 733 00:37:11,680 --> 00:37:14,319 Speaker 1: or preventative efforts. But there was a quote from one 734 00:37:14,320 --> 00:37:16,279 Speaker 1: of the company's founders that I have to admit I 735 00:37:16,320 --> 00:37:20,000 Speaker 1: found pretty amusing. So Craig Ventor, the founder of a 736 00:37:20,040 --> 00:37:23,560 Speaker 1: company called Human Longevity, Inc. He got the results from 737 00:37:23,680 --> 00:37:27,840 Speaker 1: his company's twenty five tho dollar package. That's right. It 738 00:37:27,920 --> 00:37:31,080 Speaker 1: provided a genome sequencing and all this other information that 739 00:37:31,120 --> 00:37:35,000 Speaker 1: we talked about before and after seeing his results, he said, quote, 740 00:37:35,320 --> 00:37:37,879 Speaker 1: I've lost forty three pounds since finding out things about 741 00:37:37,960 --> 00:37:41,400 Speaker 1: my metabolic condition. Honestly, I'm not sure someone needs to 742 00:37:41,440 --> 00:37:43,640 Speaker 1: spend twenty five thou dollars to know that. If they 743 00:37:43,640 --> 00:37:46,000 Speaker 1: had forty three pounds to lose, they might want to 744 00:37:46,000 --> 00:37:48,719 Speaker 1: go ahead and do that. That said, I know we're 745 00:37:48,760 --> 00:37:51,279 Speaker 1: not mean spirited here. I'm speaking with the almost no 746 00:37:51,480 --> 00:37:53,879 Speaker 1: knowledge of his company, so I'm not saying that it's 747 00:37:53,880 --> 00:37:56,480 Speaker 1: not a valuable service. I just kind of found that 748 00:37:56,520 --> 00:37:59,600 Speaker 1: quote funny. So it's in the end, it sounds like 749 00:38:00,040 --> 00:38:02,120 Speaker 1: many of these treatments may be promising, but most of 750 00:38:02,120 --> 00:38:05,239 Speaker 1: them aren't quite ready for the masses. And even Hamslu 751 00:38:05,280 --> 00:38:08,160 Speaker 1: writes about this, until that time, your best options are 752 00:38:08,400 --> 00:38:11,640 Speaker 1: boring old diet and exercise. It's true, it's true. But 753 00:38:11,680 --> 00:38:13,759 Speaker 1: you know one thing that's not boring, Mango, the part 754 00:38:13,800 --> 00:38:27,279 Speaker 1: time genius bag. That's right. M okay, so I'm gonna 755 00:38:27,280 --> 00:38:29,879 Speaker 1: go first. Gat he's born in autumn are more likely 756 00:38:29,920 --> 00:38:32,120 Speaker 1: to hit a hundred than those born in another seasons. 757 00:38:32,960 --> 00:38:36,000 Speaker 1: All right, so let's talk about TV watching. TV watching 758 00:38:36,040 --> 00:38:38,640 Speaker 1: definitely appears to take a serious toll on our health. 759 00:38:39,000 --> 00:38:40,719 Speaker 1: There was a two thousand ten study that looked at 760 00:38:40,719 --> 00:38:43,640 Speaker 1: people watching more than four hours of TV per day, 761 00:38:44,000 --> 00:38:46,520 Speaker 1: and it found there were forty six percent more likely 762 00:38:46,560 --> 00:38:49,200 Speaker 1: to die from any cause than those who watch less 763 00:38:49,200 --> 00:38:52,080 Speaker 1: than two hours. Although while I'm reading this, I'm wondering 764 00:38:52,080 --> 00:38:54,319 Speaker 1: about the words any cause. I mean, it seems like 765 00:38:54,320 --> 00:38:56,560 Speaker 1: people watch TV all the time are less likely to 766 00:38:56,640 --> 00:38:58,680 Speaker 1: die from say like rock climbing or something like we're 767 00:38:58,719 --> 00:39:01,319 Speaker 1: elephant trampoline, right, what ever? It maybe, but still don't 768 00:39:01,400 --> 00:39:03,680 Speaker 1: watch so much TV if you want to live longer. 769 00:39:04,160 --> 00:39:07,000 Speaker 1: So one of the other benefits of aging, and this 770 00:39:07,040 --> 00:39:10,520 Speaker 1: is pretty interesting me is fewer migraines. Like one study 771 00:39:10,560 --> 00:39:12,880 Speaker 1: showed the only ten percent of women and five percent 772 00:39:12,920 --> 00:39:16,560 Speaker 1: of men over seventy report having migraines, or rather, if 773 00:39:16,600 --> 00:39:19,400 Speaker 1: they were having the migrants, they weren't they weren't accompanied 774 00:39:19,400 --> 00:39:21,560 Speaker 1: by headaches. Oh that's pretty good. That's all right, all right. 775 00:39:21,960 --> 00:39:23,560 Speaker 1: I was just looking at the list of the world's 776 00:39:23,600 --> 00:39:25,880 Speaker 1: oldest people again here I can't stop looking at this 777 00:39:25,920 --> 00:39:30,000 Speaker 1: list and the supercentenarians, which for obvious reasons, this list 778 00:39:30,040 --> 00:39:33,080 Speaker 1: has to be updated somewhat regularly, but as of this morning, 779 00:39:33,480 --> 00:39:35,960 Speaker 1: five of the ten oldest people in the world are 780 00:39:36,000 --> 00:39:39,400 Speaker 1: in Japan. Actually looking here at the top fifteen, seven 781 00:39:39,480 --> 00:39:42,359 Speaker 1: of the top fifteen or in Japan. I I do 782 00:39:42,480 --> 00:39:44,600 Speaker 1: kind of wonder if they're counting years differently there though. 783 00:39:45,960 --> 00:39:49,280 Speaker 1: Um So, here's one for the ladies, and specifically ladies 784 00:39:49,320 --> 00:39:52,720 Speaker 1: over eighty. So. Studies looking at sexual satisfaction by age 785 00:39:52,719 --> 00:39:55,320 Speaker 1: have shown that while the elderly may not have sex 786 00:39:55,360 --> 00:39:58,319 Speaker 1: as often as younger people, multiple studies have shown that 787 00:39:58,400 --> 00:40:01,839 Speaker 1: satisfaction increases with a In fact, the women over eighty 788 00:40:01,920 --> 00:40:04,840 Speaker 1: and one study report being much more satisfied during sex 789 00:40:04,880 --> 00:40:07,000 Speaker 1: than those were in the late fifty five to seventy 790 00:40:07,040 --> 00:40:09,400 Speaker 1: nine range. You know what, Mango, I don't think I 791 00:40:09,400 --> 00:40:13,279 Speaker 1: can top an octogenarian sex facts. So I'm gonna give 792 00:40:13,280 --> 00:40:15,920 Speaker 1: you the PTG fact Off Trophy this week. That's it 793 00:40:16,000 --> 00:40:19,840 Speaker 1: for Part Time Genius. Thanks so much for listening. You 794 00:40:20,080 --> 00:40:22,480 Speaker 1: kids are to stick around. Wasn't that you would have 795 00:40:22,520 --> 00:40:38,480 Speaker 1: a bunch of funk everybody? Thanks again for listening. Part 796 00:40:38,480 --> 00:40:40,520 Speaker 1: Time Genius is a production of how stuff works and 797 00:40:40,520 --> 00:40:43,160 Speaker 1: wouldn't be possible without several brilliant people who do the 798 00:40:43,200 --> 00:40:46,520 Speaker 1: important things we couldn't even begin to understand. Christa McNeil 799 00:40:46,600 --> 00:40:49,000 Speaker 1: does the editing thing. Noel Brown made the theme song 800 00:40:49,040 --> 00:40:51,960 Speaker 1: and does the MIXI mixy sounding. Jerry Rowland does the 801 00:40:52,000 --> 00:40:55,160 Speaker 1: exact producer thing. Gay Bluesier is our lead researcher, with 802 00:40:55,200 --> 00:40:58,319 Speaker 1: support from the Research Army including Austin Thompson, Nolan Brown 803 00:40:58,360 --> 00:41:00,560 Speaker 1: and Lucas Adams. And he's Jeffico gets the show to 804 00:41:00,640 --> 00:41:03,120 Speaker 1: your ears. Good job, Eves. If you like what you heard, 805 00:41:03,120 --> 00:41:05,200 Speaker 1: we hope you'll subscribe, And if you really really like 806 00:41:05,280 --> 00:41:07,120 Speaker 1: what you've heard, maybe you could leave a good review 807 00:41:07,160 --> 00:41:09,719 Speaker 1: for us. Do we do? We forget Jason Jason who