1 00:00:00,880 --> 00:00:03,760 Speaker 1: I get a team. I'm here with my favorite scientist, 2 00:00:03,840 --> 00:00:08,760 Speaker 1: my favorite researcher, doctor Bill Sullivan, all the way across 3 00:00:08,760 --> 00:00:10,560 Speaker 1: the other side of the world in the States. 4 00:00:11,080 --> 00:00:14,200 Speaker 2: Hi, mate, how are you doing great? Meat, Good to 5 00:00:14,200 --> 00:00:14,760 Speaker 2: see you again. 6 00:00:15,280 --> 00:00:17,080 Speaker 1: Yeah, good to see you, buddy. We were just talking. 7 00:00:17,200 --> 00:00:19,280 Speaker 1: I was just telling you, which is probably the world 8 00:00:19,360 --> 00:00:21,200 Speaker 1: doesn't need to know this, But I have this weird 9 00:00:21,239 --> 00:00:24,439 Speaker 1: thing that happens everyone, and that is I could be 10 00:00:24,440 --> 00:00:26,560 Speaker 1: sitting at my computer like I am now, and I'm 11 00:00:26,600 --> 00:00:29,760 Speaker 1: just chipping away at stuff and just doing it, and 12 00:00:30,640 --> 00:00:33,320 Speaker 1: all things are kind of just status quo, just humming along. 13 00:00:33,880 --> 00:00:36,640 Speaker 1: But then when I have to really focus on something, 14 00:00:36,720 --> 00:00:38,920 Speaker 1: like I was saying to Bill, read an academic paper 15 00:00:39,800 --> 00:00:43,400 Speaker 1: or something that for me is cognitively challenging, where it's 16 00:00:43,479 --> 00:00:47,400 Speaker 1: extreme focus concentration, I've got to be fully present. I 17 00:00:47,440 --> 00:00:50,880 Speaker 1: get hot and I usually have to take off Often 18 00:00:50,920 --> 00:00:53,080 Speaker 1: I'll turn off the if the heat is on, even 19 00:00:53,120 --> 00:00:54,800 Speaker 1: in the middle of winter, I'll open the door to 20 00:00:54,840 --> 00:00:58,720 Speaker 1: my office, I'll take off a layer of clothing. I 21 00:00:58,760 --> 00:01:00,960 Speaker 1: think maybe a lot of people don't realize that twenty 22 00:01:00,960 --> 00:01:04,559 Speaker 1: percent of our energy expenditure is the brain built, which 23 00:01:04,600 --> 00:01:07,080 Speaker 1: is a lot of energy for a tiny little thing 24 00:01:07,160 --> 00:01:08,400 Speaker 1: sitting in the old skull. 25 00:01:08,560 --> 00:01:13,520 Speaker 2: Hey, yeah, and that's what they estimate happens with the 26 00:01:13,560 --> 00:01:16,800 Speaker 2: brain at rest, So when you're using it, it ramps 27 00:01:16,880 --> 00:01:21,160 Speaker 2: up even higher. So it's probably not surprising that your 28 00:01:21,280 --> 00:01:24,520 Speaker 2: body's getting a little overheated reading some of those papers. 29 00:01:24,800 --> 00:01:28,120 Speaker 2: So yeah, yeah, if you talk down on you and 30 00:01:28,400 --> 00:01:30,920 Speaker 2: you're you're down to your underwear, we know what you've 31 00:01:30,959 --> 00:01:34,280 Speaker 2: been doing, right, You've been reading academic papers. 32 00:01:35,720 --> 00:01:38,720 Speaker 1: Oh, look at him, he's in his boxes. Clearly he's studying. 33 00:01:38,920 --> 00:01:41,319 Speaker 2: Yeah, we'll go obviously obviously with. 34 00:01:41,360 --> 00:01:44,280 Speaker 1: That one hundred percent. It is funny though, like, so 35 00:01:44,400 --> 00:01:47,600 Speaker 1: my body weight is eighty six kilos, what's that eighty 36 00:01:47,640 --> 00:01:51,240 Speaker 1: four one seventy it's about one ninety pounds, and the 37 00:01:51,280 --> 00:01:53,960 Speaker 1: brain weighs about one point three or four, which is 38 00:01:54,080 --> 00:01:58,120 Speaker 1: kind of three pounds ish. That's a very small percentage 39 00:01:58,160 --> 00:02:00,880 Speaker 1: of our body weight for a very high percentage about 40 00:02:01,080 --> 00:02:04,200 Speaker 1: energy use, isn't it? That's wire is portionate. 41 00:02:04,920 --> 00:02:07,240 Speaker 2: Yeah, well, you know, if you think about it, that 42 00:02:07,400 --> 00:02:11,440 Speaker 2: is the key organ that defines who we are, and 43 00:02:12,120 --> 00:02:14,480 Speaker 2: it takes a lot of energy just to keep it 44 00:02:14,560 --> 00:02:17,440 Speaker 2: running at a basal level, you know, just couch potatoes 45 00:02:17,520 --> 00:02:21,400 Speaker 2: is still consuming twenty percent of your caloric intake. So 46 00:02:22,200 --> 00:02:26,160 Speaker 2: if you happen to use it beyond couch potato, yeah, 47 00:02:26,200 --> 00:02:28,400 Speaker 2: you're going to burn some more calories, which is kind 48 00:02:28,440 --> 00:02:30,480 Speaker 2: of fun. You know, you can just sit around thinking 49 00:02:30,919 --> 00:02:33,840 Speaker 2: and that's kind of an exercise, you know, it. 50 00:02:33,720 --> 00:02:37,960 Speaker 1: Is it is. I remember a sign outside a gym 51 00:02:38,040 --> 00:02:41,680 Speaker 1: near where I live and it said something like thinking 52 00:02:41,720 --> 00:02:44,120 Speaker 1: about going to the gym doesn't burn any calories. You've 53 00:02:44,120 --> 00:02:46,079 Speaker 1: actually got to turn up or something. And I'm like, well, 54 00:02:46,080 --> 00:02:47,440 Speaker 1: technically they're wrong. 55 00:02:47,919 --> 00:02:50,480 Speaker 2: You know, technically they're wrong. But you're probably not going 56 00:02:50,560 --> 00:02:54,760 Speaker 2: to lose too much weight or increase your health parameters 57 00:02:54,800 --> 00:02:57,320 Speaker 2: in a good way just by thinking too much. So 58 00:02:57,600 --> 00:03:00,120 Speaker 2: I understand marginal game. 59 00:03:00,560 --> 00:03:03,760 Speaker 1: One hundred percent. Hey, I want to start with something 60 00:03:03,840 --> 00:03:07,040 Speaker 1: weird today. Now I found this video. You I haven't 61 00:03:07,080 --> 00:03:09,760 Speaker 1: told you. By the way, we did know prep. I 62 00:03:09,800 --> 00:03:12,160 Speaker 1: do a little bit of prep everyone, and you know, 63 00:03:12,360 --> 00:03:15,320 Speaker 1: it's solid three four minutes. But Doctor Bill and I 64 00:03:15,400 --> 00:03:18,040 Speaker 1: literally chat for about one or two minutes before we 65 00:03:18,080 --> 00:03:21,000 Speaker 1: go live, so he doesn't know this is coming. It's 66 00:03:21,040 --> 00:03:23,200 Speaker 1: not anything weird, and I don't even know how we 67 00:03:23,240 --> 00:03:26,840 Speaker 1: get away, but this is this is a video from 68 00:03:27,400 --> 00:03:31,400 Speaker 1: Tucker Carlson was talking to a lady, some health expert. 69 00:03:31,840 --> 00:03:34,320 Speaker 1: I apologize or couldn't find her name, but you'll find 70 00:03:34,360 --> 00:03:37,440 Speaker 1: it everyone if you want to. So it's Tucker Carlson 71 00:03:37,560 --> 00:03:40,160 Speaker 1: talking to this lady. I won't tell you what it's about. 72 00:03:40,240 --> 00:03:42,080 Speaker 1: It only goes for about a minute. Mate. I want 73 00:03:42,080 --> 00:03:43,440 Speaker 1: you to have a listen, and then I want to 74 00:03:43,440 --> 00:03:45,600 Speaker 1: have a chat. Is that all right with you? 75 00:03:44,600 --> 00:03:48,200 Speaker 2: You want me to watch Tucker Carlson. You're gonna say 76 00:03:48,240 --> 00:03:50,560 Speaker 2: I want you to watch I know, no, no, no, 77 00:03:50,600 --> 00:03:51,400 Speaker 2: it's not about him. 78 00:03:51,440 --> 00:03:53,080 Speaker 1: I know you're probably a fan, but not a fan. 79 00:03:53,160 --> 00:03:54,240 Speaker 1: But here we go, here we go. 80 00:03:55,120 --> 00:03:57,800 Speaker 3: Just give us the being slain condition of health in 81 00:03:57,840 --> 00:04:02,240 Speaker 3: the nastase absolutely so. Seventy four percent of American adults 82 00:04:02,280 --> 00:04:06,000 Speaker 3: now are overweight or obese. Close to fifty percent of 83 00:04:06,040 --> 00:04:09,240 Speaker 3: children are overweight or obese. Seventy seven percent of young 84 00:04:09,240 --> 00:04:11,880 Speaker 3: adults are unfit to serve in the military because of 85 00:04:11,880 --> 00:04:13,080 Speaker 3: these issues like obesity. 86 00:04:13,320 --> 00:04:14,800 Speaker 2: Now, let's talk about diabetes. 87 00:04:15,240 --> 00:04:18,960 Speaker 3: Fifty percent full fifty percent of American adults have pre 88 00:04:19,000 --> 00:04:22,120 Speaker 3: diabetes or type two diabetes, which is a fundamental issue 89 00:04:22,160 --> 00:04:25,720 Speaker 3: in how ourselves contrasts the country Tucker have pre diabetes 90 00:04:25,760 --> 00:04:29,080 Speaker 3: or type two diabetes, and thirty percent of teens now 91 00:04:29,120 --> 00:04:32,480 Speaker 3: have pre diabetes. We have eighteen percent of teens with 92 00:04:32,640 --> 00:04:35,240 Speaker 3: fatty liver disease, a disease that used to be in 93 00:04:35,360 --> 00:04:38,720 Speaker 3: late stage alcoholics. Cancer rates are skyrocketing and the young 94 00:04:39,000 --> 00:04:42,760 Speaker 3: and the elderly. Young adult cancers are up seventy nine percent, 95 00:04:42,760 --> 00:04:44,760 Speaker 3: and this is the first year in American history We're 96 00:04:44,839 --> 00:04:48,200 Speaker 3: estimated to have over two million cases of cancer. Twenty 97 00:04:48,240 --> 00:04:52,040 Speaker 3: five percent of American women are on an antidepressant medication. 98 00:04:52,720 --> 00:04:56,120 Speaker 3: Forty percent of eighteen year olds have a mental health diagnosis. 99 00:04:56,160 --> 00:04:59,039 Speaker 3: We have the highest infant and maternal mortality rate in 100 00:04:59,080 --> 00:05:04,400 Speaker 3: the entire developed world. Infertility is at peak rates. I mean, 101 00:05:04,440 --> 00:05:06,320 Speaker 3: I don't know how this is not front page news. 102 00:05:06,320 --> 00:05:09,280 Speaker 3: Infertility is going up one percent per year. Sperm counts 103 00:05:09,320 --> 00:05:13,960 Speaker 3: are going down one percent per year since the nineteen seventies. Now, 104 00:05:14,080 --> 00:05:17,719 Speaker 3: the thing that people need to understand is that all 105 00:05:17,760 --> 00:05:21,279 Speaker 3: of these conditions are caused or driven by the exact 106 00:05:21,600 --> 00:05:24,240 Speaker 3: same thing, which is metabolic dysfunction. 107 00:05:25,680 --> 00:05:29,040 Speaker 1: I would imagine, I would imagine that Australia is similar, 108 00:05:29,200 --> 00:05:31,640 Speaker 1: not in terms of absolute numbers, because we have a 109 00:05:31,680 --> 00:05:35,920 Speaker 1: smaller population, but you know, percentage wise, I wouldn't think 110 00:05:35,920 --> 00:05:39,760 Speaker 1: we would be drastically different. What did you think about that? 111 00:05:41,160 --> 00:05:45,479 Speaker 2: Those are some pretty sobering statistics, and obviously I can't 112 00:05:45,720 --> 00:05:48,039 Speaker 2: fact check all of them, but I can say that 113 00:05:48,120 --> 00:05:52,200 Speaker 2: I've heard the same trends. You know, clearly our country 114 00:05:52,200 --> 00:05:55,800 Speaker 2: and many many in the western developed world have problems 115 00:05:55,800 --> 00:06:02,880 Speaker 2: with obesity, which spiral into problems with diabet There's also 116 00:06:03,440 --> 00:06:06,960 Speaker 2: I believe what she said about fertility and sperm counts 117 00:06:07,000 --> 00:06:09,920 Speaker 2: is also true. I've read similar articles to that effect 118 00:06:10,000 --> 00:06:15,040 Speaker 2: as well, although I don't know that it's completely attributable 119 00:06:15,040 --> 00:06:19,000 Speaker 2: to metabolic dysfunction. There are many other potential explanations that 120 00:06:19,000 --> 00:06:23,360 Speaker 2: could factor into changes in fertility rates, some of which 121 00:06:23,400 --> 00:06:25,919 Speaker 2: have nothing to do with biology at all, but just 122 00:06:25,960 --> 00:06:30,720 Speaker 2: psychological trends, social trends. But yeah, a lot of what 123 00:06:30,760 --> 00:06:37,200 Speaker 2: she's saying, those trends, at least I've heard similar statistics. 124 00:06:38,040 --> 00:06:42,520 Speaker 1: It's interesting that like, we've never been more educated, we've 125 00:06:42,560 --> 00:06:46,160 Speaker 1: never had more resources, Like we've never been I was 126 00:06:46,200 --> 00:06:51,360 Speaker 1: going to say, we've never been smarter. That's not true behaviorally, 127 00:06:51,440 --> 00:06:56,120 Speaker 1: maybe we're stupid, who knows, But yeah, it seems that 128 00:06:56,240 --> 00:07:00,719 Speaker 1: despite all of our technology and all of our research 129 00:07:00,839 --> 00:07:07,599 Speaker 1: breakthroughs and everything that's happening in science. As a bunch 130 00:07:07,640 --> 00:07:12,360 Speaker 1: of people living on a planet, from a physical wellness 131 00:07:12,400 --> 00:07:14,960 Speaker 1: point of view, we seem to be going backwards, not forward. 132 00:07:15,000 --> 00:07:19,200 Speaker 2: Stock Oh yeah, I totally agree with that. And it's 133 00:07:19,280 --> 00:07:21,880 Speaker 2: like we're a victim of our own success. I mean, 134 00:07:21,960 --> 00:07:26,440 Speaker 2: the human species has been so successful around the world 135 00:07:26,680 --> 00:07:31,480 Speaker 2: in creating a lifestyle where we have easy access to 136 00:07:31,880 --> 00:07:36,200 Speaker 2: high caloric foods, which we used to struggle obtaining a 137 00:07:36,280 --> 00:07:39,960 Speaker 2: long time ago, you know, on the African savannah. So 138 00:07:40,240 --> 00:07:43,720 Speaker 2: now we have a bounty of those high calorie foods 139 00:07:43,760 --> 00:07:48,040 Speaker 2: and our brain is wired to lust after them. Okay, 140 00:07:48,120 --> 00:07:52,120 Speaker 2: our brain is wired to crave them, and they're in abundance. 141 00:07:52,720 --> 00:07:56,480 Speaker 2: So there's a mismatch between how our brain reacts to 142 00:07:56,520 --> 00:08:00,480 Speaker 2: these foods and drives our behavior and the environ in 143 00:08:00,520 --> 00:08:03,480 Speaker 2: which we've currently in which we currently live. And I 144 00:08:03,520 --> 00:08:06,440 Speaker 2: say we're a victim of our own success, because you know, 145 00:08:06,600 --> 00:08:11,120 Speaker 2: humanity as a collective species has done a marvelous job 146 00:08:11,920 --> 00:08:19,320 Speaker 2: utilizing agriculture, domesticating animals, creating foods that can deliver a 147 00:08:19,440 --> 00:08:24,160 Speaker 2: high amount of the you know, nutrition, but also a 148 00:08:24,240 --> 00:08:28,600 Speaker 2: high amount of the bad things that we need to 149 00:08:28,720 --> 00:08:30,720 Speaker 2: get out of our diet if we want to get 150 00:08:30,760 --> 00:08:33,960 Speaker 2: back to a healthy lifestyle. You also couple that to 151 00:08:34,120 --> 00:08:37,959 Speaker 2: our intelligence in creating machinery and industries that can do 152 00:08:38,360 --> 00:08:42,360 Speaker 2: hard labor for us. So the amount of physical labor 153 00:08:42,360 --> 00:08:44,720 Speaker 2: that most human beings on the planet have to engage 154 00:08:44,720 --> 00:08:48,400 Speaker 2: in has gone way down, and in fact, most jobs 155 00:08:48,440 --> 00:08:52,120 Speaker 2: are sedentary. You know, you're just sitting on your butt 156 00:08:52,160 --> 00:08:55,360 Speaker 2: all day and there's not a lot of time left 157 00:08:55,840 --> 00:09:00,840 Speaker 2: for exercise and activity, which again, back in All D's 158 00:09:02,480 --> 00:09:06,920 Speaker 2: on the African savannah, we were always hunting, foraging, moving around. 159 00:09:07,360 --> 00:09:11,360 Speaker 2: You know, we were more of a nomad species, relocating 160 00:09:11,400 --> 00:09:15,280 Speaker 2: from place to police. Yeah, long story short, we were 161 00:09:15,280 --> 00:09:19,280 Speaker 2: getting a lot of physical activity that we simply don't 162 00:09:19,280 --> 00:09:20,080 Speaker 2: obtain today. 163 00:09:21,440 --> 00:09:24,720 Speaker 1: I heard something. It's it's probably not an accurate stat 164 00:09:24,760 --> 00:09:27,760 Speaker 1: but I think it couldn't. It might be somewhere in 165 00:09:27,760 --> 00:09:31,800 Speaker 1: the ballpark, But the average Australian expends about eight hundred 166 00:09:31,840 --> 00:09:34,240 Speaker 1: calories a day, which is a lot of calories, but 167 00:09:34,280 --> 00:09:38,240 Speaker 1: eight hundred calories a day less than fifty years ago. 168 00:09:39,520 --> 00:09:43,720 Speaker 1: And you know, we're the sit down generation like we've 169 00:09:43,800 --> 00:09:48,079 Speaker 1: never in the history of our species, we've never sat 170 00:09:48,120 --> 00:09:52,080 Speaker 1: more than we currently sit because you know, I would 171 00:09:52,280 --> 00:09:56,720 Speaker 1: assume ninety percent of jobs are done seated or I 172 00:09:56,720 --> 00:09:59,160 Speaker 1: don't know what percentage, but a lot, you know. So 173 00:09:59,240 --> 00:10:02,480 Speaker 1: it's not only our we're eating more. So the volume 174 00:10:02,559 --> 00:10:05,959 Speaker 1: is up, the quality of food depending on you know 175 00:10:06,160 --> 00:10:09,120 Speaker 1: who and where, but the quality of food arguably is 176 00:10:09,160 --> 00:10:13,720 Speaker 1: down or the crap, you know, more more processed food, 177 00:10:13,840 --> 00:10:18,280 Speaker 1: less nutritional value, all of those things. But yeah, overall, 178 00:10:18,360 --> 00:10:22,240 Speaker 1: we just don't like incidental and occupational activity as we 179 00:10:22,320 --> 00:10:25,760 Speaker 1: call us ex sized scientists call it incidental and occupational 180 00:10:25,760 --> 00:10:29,200 Speaker 1: activity is down. So in general terms, we just don't 181 00:10:29,240 --> 00:10:32,920 Speaker 1: move as much as we used to move fifty years ago, 182 00:10:32,960 --> 00:10:35,400 Speaker 1: one hundred years ago, and especially hundreds of years ago, 183 00:10:35,480 --> 00:10:37,800 Speaker 1: when you know you would think a lot of people 184 00:10:37,880 --> 00:10:39,280 Speaker 1: moved a lot. 185 00:10:40,400 --> 00:10:44,280 Speaker 2: Yeah, absolutely, and then you know that's that's good news 186 00:10:44,320 --> 00:10:47,360 Speaker 2: bad news. I mean, we know these are the problems 187 00:10:47,440 --> 00:10:50,680 Speaker 2: that are leading to obesity and diabetes. We know it's 188 00:10:50,760 --> 00:10:55,080 Speaker 2: poor diet, we know it's not enough exercise, and you 189 00:10:55,120 --> 00:10:58,760 Speaker 2: know we should throw stress into that equation too. Remarkably, 190 00:10:58,800 --> 00:11:01,400 Speaker 2: it goes back to the paradise you alluded to earlier. 191 00:11:01,440 --> 00:11:06,800 Speaker 2: Craig in that we live in a tremendously wonderful time. 192 00:11:07,280 --> 00:11:10,560 Speaker 2: I mean, a lot of our basic needs are met. Okay, 193 00:11:10,679 --> 00:11:12,920 Speaker 2: even if you don't do a great deal of work 194 00:11:13,040 --> 00:11:14,560 Speaker 2: or make a lot of money, you can live a 195 00:11:14,559 --> 00:11:19,520 Speaker 2: pretty comfortable lifestyle. But we generate an extraordinary amount of 196 00:11:19,640 --> 00:11:23,800 Speaker 2: unnecessary stress and pressure and anxiety, and I think that 197 00:11:23,840 --> 00:11:27,600 Speaker 2: feeds back into making many of us miserable, which drives 198 00:11:27,679 --> 00:11:31,840 Speaker 2: appetite and discourages people from wanting to move around and exercise. 199 00:11:32,280 --> 00:11:36,400 Speaker 2: So I think, ironically we have a higher level of 200 00:11:36,559 --> 00:11:40,400 Speaker 2: stress than maybe our evolutionary ancestors even did. 201 00:11:41,080 --> 00:11:45,200 Speaker 1: Yeah, that's interesting. I often think this. Imagine going back 202 00:11:45,280 --> 00:11:49,400 Speaker 1: a couple of hundred years and just like being there 203 00:11:49,400 --> 00:11:51,720 Speaker 1: for a day and you say, guess what. In the future, 204 00:11:51,760 --> 00:11:53,679 Speaker 1: you're just gonna like, if you're hot, you're just going 205 00:11:53,720 --> 00:11:55,880 Speaker 1: to push a button. And I'll go, what's a button? 206 00:11:56,000 --> 00:11:58,000 Speaker 1: We have to explain that you're going to push a 207 00:11:58,000 --> 00:12:01,920 Speaker 1: button on a wall and the room's going to get cool, 208 00:12:03,040 --> 00:12:05,760 Speaker 1: and then when you're cold, you push another button, then 209 00:12:05,760 --> 00:12:07,520 Speaker 1: the room will get warm. And by the way, you're 210 00:12:07,559 --> 00:12:10,000 Speaker 1: just going to have this thing where it's going to 211 00:12:10,080 --> 00:12:13,320 Speaker 1: have all this food in it that's fresh all the 212 00:12:13,400 --> 00:12:16,880 Speaker 1: time and it keeps it cool. And then you're going 213 00:12:16,920 --> 00:12:18,800 Speaker 1: to have this other thing that you can cook food 214 00:12:18,840 --> 00:12:21,520 Speaker 1: in about ninety seconds. It's called a microwave ove. And and 215 00:12:21,559 --> 00:12:23,080 Speaker 1: then you're going to have this thing you can just 216 00:12:23,120 --> 00:12:27,120 Speaker 1: turn and cold fresh water comes out like as much 217 00:12:27,160 --> 00:12:30,480 Speaker 1: as you want. Like they'd be like, that's bullshit, that's 218 00:12:31,240 --> 00:12:33,120 Speaker 1: or you know, you know what. 219 00:12:33,000 --> 00:12:34,960 Speaker 2: Would happen to you if you were to go back 220 00:12:35,000 --> 00:12:38,520 Speaker 2: to the middle you would be burned at the steak 221 00:12:38,559 --> 00:12:41,320 Speaker 2: as a heretic and loon. That's what you would be, 222 00:12:41,679 --> 00:12:44,280 Speaker 2: you know, that's what they would do to you. Well, 223 00:12:45,240 --> 00:12:46,960 Speaker 2: Craig on the barbie. 224 00:12:47,920 --> 00:12:51,480 Speaker 1: But even imagine like when I was born, you know, 225 00:12:51,559 --> 00:12:53,560 Speaker 1: in the sixties. Imagine if you said, in the not 226 00:12:53,600 --> 00:12:56,280 Speaker 1: too distant future, you're going to have you know, that 227 00:12:56,400 --> 00:13:01,760 Speaker 1: telephone on the wall with the bloody rotary do siling system. Well, 228 00:13:01,760 --> 00:13:04,640 Speaker 1: you're going to have a phone in your pocket that's 229 00:13:05,120 --> 00:13:07,600 Speaker 1: you know, like the size of a pack of cigarettes 230 00:13:07,679 --> 00:13:10,160 Speaker 1: or smaller, because that's what they had in their pocket 231 00:13:10,280 --> 00:13:14,520 Speaker 1: in those days. And not only not only will you 232 00:13:14,559 --> 00:13:16,960 Speaker 1: be able to talk to anyone anywhere in the world, 233 00:13:18,120 --> 00:13:24,480 Speaker 1: it'll also basically have more information than you know all 234 00:13:24,520 --> 00:13:28,120 Speaker 1: the Encyclopedia Britannicas, which were also big in the sixties, 235 00:13:28,160 --> 00:13:31,360 Speaker 1: put together times a billion in your pocket and you 236 00:13:31,400 --> 00:13:33,720 Speaker 1: can just ask it a question and it will tell 237 00:13:33,760 --> 00:13:36,760 Speaker 1: you the answer to any like a game. And it's 238 00:13:36,760 --> 00:13:39,120 Speaker 1: not like that was a thousand years ago, that was 239 00:13:39,240 --> 00:13:43,880 Speaker 1: last week. In terms of the evolutionary you know timeline. 240 00:13:44,040 --> 00:13:47,120 Speaker 2: Yeah, it's crazy to think about, and it would be 241 00:13:47,120 --> 00:13:49,560 Speaker 2: a fun experiment to be able to go back and 242 00:13:49,679 --> 00:13:52,840 Speaker 2: see what those individuals thought. I mean, you could even 243 00:13:52,880 --> 00:13:55,800 Speaker 2: like go back in time to the Middle Ages and see, 244 00:13:56,120 --> 00:13:59,280 Speaker 2: you know, you're not feeling well, not because of bad 245 00:13:59,440 --> 00:14:03,120 Speaker 2: error or because of demons or you know, gods that 246 00:14:03,160 --> 00:14:06,960 Speaker 2: are angry at you, it's because of this tiny germ. Oh, 247 00:14:07,000 --> 00:14:09,040 Speaker 2: we'll show it to me. Well, we need a microscope 248 00:14:09,080 --> 00:14:13,400 Speaker 2: to see it. What's a microscope? And so we're going 249 00:14:13,480 --> 00:14:16,240 Speaker 2: to have medicines one day that can get rid of 250 00:14:16,320 --> 00:14:20,720 Speaker 2: these germs and make people well. And yeah, they'll just 251 00:14:20,760 --> 00:14:22,960 Speaker 2: be looking at you like you're crazy. And it makes 252 00:14:23,000 --> 00:14:27,560 Speaker 2: you think, twenty forty one hundred years from now, what 253 00:14:27,640 --> 00:14:29,760 Speaker 2: are humans going to come up with that we can't 254 00:14:29,800 --> 00:14:34,160 Speaker 2: even imagine today. Yeah, you know, you know, I'm assuming 255 00:14:34,200 --> 00:14:36,720 Speaker 2: we last that long, what are they going to come 256 00:14:36,800 --> 00:14:40,840 Speaker 2: up with that'll just blow us away? It's it's fun 257 00:14:40,880 --> 00:14:43,680 Speaker 2: to philosophize and think about those sorts of things. 258 00:14:43,880 --> 00:14:46,720 Speaker 1: And it's amazing. Like we look back at the science 259 00:14:46,720 --> 00:14:50,080 Speaker 1: in inverted commas from you know, twenty thirty forty years ago, 260 00:14:50,120 --> 00:14:51,920 Speaker 1: and some of it was solid and some of it 261 00:14:52,000 --> 00:14:54,200 Speaker 1: were like, how on earth? How on earth? You know? 262 00:14:54,280 --> 00:14:57,160 Speaker 1: Even for example, with the food pyramid is one that 263 00:14:57,200 --> 00:14:59,960 Speaker 1: I speak about too much, but you know, that was absolute, 264 00:15:00,040 --> 00:15:03,880 Speaker 1: that was break groundbreaking research and we found out that 265 00:15:05,240 --> 00:15:09,200 Speaker 1: it isn't and it's bullshit, but you know, but at 266 00:15:09,200 --> 00:15:12,200 Speaker 1: the time, everyone was like, this is the way to eat. 267 00:15:12,240 --> 00:15:16,360 Speaker 1: Low fat eating equals low fat humans, and off we go. 268 00:15:17,040 --> 00:15:20,280 Speaker 1: And yeah, it makes you wonder in fifty years what 269 00:15:20,280 --> 00:15:22,840 Speaker 1: they're going to talk about that was science in inverted 270 00:15:22,880 --> 00:15:27,000 Speaker 1: commas in twenty twenty four, That to them will be laughable. 271 00:15:27,840 --> 00:15:29,480 Speaker 2: You know, I'm going to make a prediction because I 272 00:15:29,520 --> 00:15:31,560 Speaker 2: won't be here to verify it or not. I won't 273 00:15:31,560 --> 00:15:33,640 Speaker 2: care if I'm right or wrong, but I'll make a 274 00:15:33,680 --> 00:15:37,440 Speaker 2: prediction that we are obsessed way too much with the 275 00:15:37,440 --> 00:15:41,960 Speaker 2: individual components of of you know, what types of bats 276 00:15:42,040 --> 00:15:44,360 Speaker 2: and how much sugar and all this other stuff that 277 00:15:44,400 --> 00:15:48,200 Speaker 2: are in foods. We're too obsessed with that. And you know, 278 00:15:48,360 --> 00:15:51,200 Speaker 2: to an extent, we do need to pay attention to 279 00:15:51,240 --> 00:15:53,480 Speaker 2: how much sugar, salt, and fat are in there. But 280 00:15:53,720 --> 00:15:57,880 Speaker 2: what that misses, What that misses or all the chemicals 281 00:15:57,880 --> 00:16:00,840 Speaker 2: that are put into food, all these preserved and all 282 00:16:00,880 --> 00:16:04,480 Speaker 2: these other chemicals that we have no idea what they 283 00:16:04,560 --> 00:16:08,280 Speaker 2: might be doing in our body, either alone or in combination, 284 00:16:08,440 --> 00:16:13,480 Speaker 2: because they're not sufficiently tested before they're utilized in food products. 285 00:16:13,560 --> 00:16:17,120 Speaker 2: Europe is a little better about this, and lo and behold, Craig. 286 00:16:17,520 --> 00:16:19,760 Speaker 2: They don't have a huge obesity problem. 287 00:16:20,120 --> 00:16:20,440 Speaker 1: Wow. 288 00:16:20,800 --> 00:16:23,280 Speaker 2: I just came back from a from a tour of 289 00:16:23,320 --> 00:16:29,640 Speaker 2: the Mediterranean, Okay, and it's striking the difference of how 290 00:16:30,360 --> 00:16:34,280 Speaker 2: thin people are, how lean people are in general over 291 00:16:34,320 --> 00:16:39,160 Speaker 2: there compared to almost anywhere you put yourself into in America. 292 00:16:39,200 --> 00:16:42,720 Speaker 2: There's it's a striking difference. But one thing that is 293 00:16:42,760 --> 00:16:46,360 Speaker 2: not different when you go to the Mediterranean, it is 294 00:16:46,520 --> 00:16:54,280 Speaker 2: full of cafes, pastries, canola's, gelato. There's all kinds of sweets, pastas, carbs, everything. Right, 295 00:16:54,800 --> 00:16:59,360 Speaker 2: The diet doesn't strike me as being ridiculously different. Maybe 296 00:16:59,440 --> 00:17:02,800 Speaker 2: the portions are smaller, and there's there's more fruits and 297 00:17:02,920 --> 00:17:07,119 Speaker 2: vegetables and stuff. But the thing that struck me was 298 00:17:07,200 --> 00:17:10,720 Speaker 2: the freshness of the foods. Okay, people like go out 299 00:17:10,760 --> 00:17:14,399 Speaker 2: to the market and or their gardens and grab what 300 00:17:14,480 --> 00:17:16,680 Speaker 2: they want to eat right then and there, right off 301 00:17:16,680 --> 00:17:19,680 Speaker 2: the vine, so to speak. Okay, it's all fresh. There's 302 00:17:19,720 --> 00:17:24,199 Speaker 2: no chemicals, there's no preservatives, and maybe the stuff that 303 00:17:24,240 --> 00:17:27,119 Speaker 2: we're putting into food in order to process it or 304 00:17:27,200 --> 00:17:30,760 Speaker 2: ultra process it, maybe those are the real culprits. And 305 00:17:30,840 --> 00:17:34,000 Speaker 2: fifty years from now, my prediction is that we are 306 00:17:34,040 --> 00:17:35,919 Speaker 2: going to sort some of that out and we're going 307 00:17:35,960 --> 00:17:37,600 Speaker 2: to look back and say, oh, why were we so 308 00:17:37,760 --> 00:17:40,400 Speaker 2: obsessed with a little too much sugar? It was these 309 00:17:40,480 --> 00:17:42,960 Speaker 2: chemicals that were making everybody so large. 310 00:17:43,520 --> 00:17:48,480 Speaker 1: That is a very very interesting hypothesis. Stock I don't 311 00:17:48,520 --> 00:17:54,120 Speaker 1: disagree with you. And you know, further to that, when 312 00:17:54,160 --> 00:17:57,040 Speaker 1: you have I always talk to people about you know, 313 00:17:57,119 --> 00:18:00,600 Speaker 1: packaging and food labeling. And you know what's written on 314 00:18:00,640 --> 00:18:02,159 Speaker 1: the front of the box or the can or the 315 00:18:02,200 --> 00:18:07,960 Speaker 1: packet is advertising. And the tiny little box, the tiny 316 00:18:08,000 --> 00:18:10,359 Speaker 1: little square down the bottom of the back of the 317 00:18:10,400 --> 00:18:14,719 Speaker 1: package with the teeny tiny writing that you really, I 318 00:18:14,760 --> 00:18:17,080 Speaker 1: can't read it because my eyes are shit and I'm old. 319 00:18:17,800 --> 00:18:20,240 Speaker 1: But there's a reason that it's hidden away down the 320 00:18:20,240 --> 00:18:23,000 Speaker 1: bottom at the back, and there's a reason that the 321 00:18:23,040 --> 00:18:26,480 Speaker 1: writing is so small, and there's a reason that they're 322 00:18:26,520 --> 00:18:30,600 Speaker 1: trying to make it is as obscure as possible, because 323 00:18:30,600 --> 00:18:33,840 Speaker 1: they don't want you to pay attention to that, you know. 324 00:18:33,920 --> 00:18:36,760 Speaker 1: And it's funny when you look at something like and 325 00:18:36,800 --> 00:18:39,840 Speaker 1: this is ironic, but a protein bar, you go, I 326 00:18:39,880 --> 00:18:43,480 Speaker 1: might have a protein bar that's better than a Mars baruck. 327 00:18:43,680 --> 00:18:47,760 Speaker 1: Probably not. I mean some of them, like some of 328 00:18:47,800 --> 00:18:51,440 Speaker 1: those protein bars in inverted commas, which sell like hotcakes 329 00:18:51,440 --> 00:18:56,560 Speaker 1: in Australia because ironically hotcakes, we think, you know, that's 330 00:18:56,600 --> 00:19:00,080 Speaker 1: a healthy option. Some of them have got fifty ingredients 331 00:19:00,520 --> 00:19:03,080 Speaker 1: and forty of the ingredients you don't know what they are. 332 00:19:04,000 --> 00:19:07,919 Speaker 2: Yeah, And we have the same trends over here, people 333 00:19:08,040 --> 00:19:12,120 Speaker 2: gobbling these things down like their candy, and they're marketed 334 00:19:12,200 --> 00:19:16,199 Speaker 2: as if they're not candy. Yeah, you know, and it's 335 00:19:17,160 --> 00:19:19,720 Speaker 2: kind of goofy to me. I think one of the 336 00:19:19,720 --> 00:19:22,400 Speaker 2: manufacturers of these bars got sued because they were making 337 00:19:22,440 --> 00:19:24,959 Speaker 2: health cleans, when in fact they were just a glorified 338 00:19:25,000 --> 00:19:25,520 Speaker 2: candy bar. 339 00:19:26,240 --> 00:19:29,520 Speaker 1: Yeah, yeah, yeah, Well, I mean, I don't know how 340 00:19:29,520 --> 00:19:33,400 Speaker 1: it is in the States, but there's a I think 341 00:19:33,440 --> 00:19:36,240 Speaker 1: it's called the Heart Foundation in Australia where you can 342 00:19:36,359 --> 00:19:40,560 Speaker 1: buy what's called a healthy Heart tick or something like that. 343 00:19:41,160 --> 00:19:45,720 Speaker 1: So companies pay. It's all about just a transaction to 344 00:19:45,800 --> 00:19:48,800 Speaker 1: get this tick of approval from the Heart Foundation on 345 00:19:48,880 --> 00:19:51,840 Speaker 1: the front of their product. And it doesn't it's not 346 00:19:51,880 --> 00:19:54,560 Speaker 1: because it meets some criteria. I could be wrong on this, 347 00:19:54,800 --> 00:19:57,560 Speaker 1: but I'm pretty sure. Maybe it's got to meet some 348 00:19:57,680 --> 00:20:01,240 Speaker 1: very low level criteria. But for the most part, my 349 00:20:01,400 --> 00:20:06,439 Speaker 1: understanding is it's something that companies pay for, which is 350 00:20:06,480 --> 00:20:08,680 Speaker 1: good for the Heart Foundation, I guess, because it gives 351 00:20:08,680 --> 00:20:11,679 Speaker 1: them money in the bank. But it seemed to be 352 00:20:11,840 --> 00:20:16,440 Speaker 1: some kind of, you know, brand improving kind of strategy. 353 00:20:16,760 --> 00:20:19,800 Speaker 1: Do you think that like talking about the past and 354 00:20:19,840 --> 00:20:27,760 Speaker 1: the now. I always feel like we have become disconnected 355 00:20:27,800 --> 00:20:30,199 Speaker 1: from the wisdom of our body. And I know that 356 00:20:30,280 --> 00:20:34,280 Speaker 1: sounds fluffy, but you know, like our body is so 357 00:20:34,320 --> 00:20:37,760 Speaker 1: smart now. Bio is a biofeedback system that's always talking 358 00:20:37,800 --> 00:20:41,200 Speaker 1: to us. But you know, in the days of instant 359 00:20:41,200 --> 00:20:47,239 Speaker 1: gratification and fast food and basically dopamine at will, you know, 360 00:20:47,400 --> 00:20:50,199 Speaker 1: or dopamine providers of sorts, you know, like where we 361 00:20:50,240 --> 00:20:52,359 Speaker 1: can just push that button and get a quick fix. 362 00:20:53,320 --> 00:20:56,520 Speaker 1: I feel like we've disconnected from our body in a way. 363 00:20:57,520 --> 00:21:02,240 Speaker 2: We are totally disconnected. There's a scientific term for these phenomenon, 364 00:21:02,320 --> 00:21:06,679 Speaker 2: and it's called evolutionary mismatch, and it's basically that we 365 00:21:06,760 --> 00:21:10,119 Speaker 2: are not born for this time. We are not born 366 00:21:10,200 --> 00:21:12,960 Speaker 2: for the modern environment that we have created. We are 367 00:21:13,040 --> 00:21:17,080 Speaker 2: born to literally be hunters and gatherers and small tribes 368 00:21:17,080 --> 00:21:20,520 Speaker 2: on the African savannah. That's what we've evolved to be 369 00:21:20,760 --> 00:21:25,160 Speaker 2: for tens of millions of years. So that is deeply, 370 00:21:25,520 --> 00:21:30,840 Speaker 2: deeply wired into our brain and that's just how things are, 371 00:21:30,880 --> 00:21:33,440 Speaker 2: that's our history. But you put us in. You put 372 00:21:33,480 --> 00:21:36,800 Speaker 2: an animal like that into the modern world where it's 373 00:21:36,840 --> 00:21:39,400 Speaker 2: a veritable candy land and you don't have to move 374 00:21:39,440 --> 00:21:42,800 Speaker 2: around as much. You know, you sit and watch television 375 00:21:42,920 --> 00:21:47,160 Speaker 2: passively for hours. You have an animal that is ill 376 00:21:47,240 --> 00:21:51,760 Speaker 2: suited for its environment, and there's negative health consequences that 377 00:21:51,800 --> 00:21:56,720 Speaker 2: start to accumulate over time with that lifestyle. And it's 378 00:21:56,720 --> 00:21:59,679 Speaker 2: a catch twenty two with our brain because back in 379 00:21:59,800 --> 00:22:03,720 Speaker 2: our old evolutionary days, you know, millions of years ago, 380 00:22:03,880 --> 00:22:06,879 Speaker 2: when it was hard to come by something sweet or 381 00:22:06,920 --> 00:22:11,879 Speaker 2: something fatty, our brain would go absolutely nuts when it 382 00:22:12,000 --> 00:22:16,679 Speaker 2: finally tasted something that had something that had a sweet 383 00:22:16,720 --> 00:22:19,359 Speaker 2: flavor or a fatty flavor, it would just go nuts. 384 00:22:19,440 --> 00:22:23,719 Speaker 2: Dopamine would be surging because it's a substantial reward, and 385 00:22:23,760 --> 00:22:26,800 Speaker 2: it would induce us to move our bodies to go 386 00:22:26,960 --> 00:22:29,919 Speaker 2: find those foods as much as we can. But they 387 00:22:29,920 --> 00:22:33,000 Speaker 2: were quite rare, so they were they were rare treats. 388 00:22:33,840 --> 00:22:36,560 Speaker 2: But now we can just sit and hit the dopamine 389 00:22:36,560 --> 00:22:40,560 Speaker 2: button all day long, popping in crisp after crisp, you know, 390 00:22:40,720 --> 00:22:44,640 Speaker 2: candy bar after candy bar, and you know that our 391 00:22:44,680 --> 00:22:47,440 Speaker 2: body was not built to handle that level of sugar, fat, 392 00:22:47,520 --> 00:22:50,040 Speaker 2: and salt. It just simply is not. And then you 393 00:22:50,119 --> 00:22:52,520 Speaker 2: couple that on top of the fact that many of these, 394 00:22:53,560 --> 00:22:57,680 Speaker 2: you know, these these candies and potato chips and pretzels 395 00:22:57,680 --> 00:23:00,720 Speaker 2: and so on, are highly processed foods with all sorts 396 00:23:00,760 --> 00:23:05,760 Speaker 2: of other chemicals added into that. You just have an 397 00:23:05,840 --> 00:23:11,360 Speaker 2: incredibly artificial nutritional source that our body has not evolved 398 00:23:11,800 --> 00:23:17,719 Speaker 2: to metabolize properly. Okay, it's evolved to enjoy the taste 399 00:23:17,760 --> 00:23:21,879 Speaker 2: and the texture, but it's not evolved to translate it 400 00:23:21,920 --> 00:23:23,960 Speaker 2: into something nutritionally valuable. 401 00:23:25,760 --> 00:23:29,320 Speaker 1: Yeah, And I think like one of the challenges is, 402 00:23:30,600 --> 00:23:32,600 Speaker 1: you know that you can push the dopamine button and 403 00:23:32,640 --> 00:23:33,960 Speaker 1: go all right, I'm going to eat the cake, or 404 00:23:34,000 --> 00:23:35,600 Speaker 1: I'm going to eat the candy bar, or I'm gonna 405 00:23:35,600 --> 00:23:37,520 Speaker 1: eat the crisps, or I'm going to eat whatever it 406 00:23:37,560 --> 00:23:42,320 Speaker 1: is that thing that while simultaneously being in a body 407 00:23:42,960 --> 00:23:47,840 Speaker 1: that isn't working well, you know, and simultaneously thinking I 408 00:23:48,520 --> 00:23:50,239 Speaker 1: want to get in shape. I want to change my 409 00:23:50,560 --> 00:23:55,399 Speaker 1: body composition, lose fat, lose weight, be healthier, have more energy, 410 00:23:55,480 --> 00:23:59,080 Speaker 1: have more function, improve my immune system, create a longer 411 00:23:59,119 --> 00:24:02,400 Speaker 1: health span, all that stuff. But for the moment, I'm 412 00:24:02,400 --> 00:24:04,680 Speaker 1: going to eat this cake because when I eat this cake, 413 00:24:04,720 --> 00:24:07,920 Speaker 1: I get instant gratification. But if I don't eat the cake, 414 00:24:08,640 --> 00:24:11,960 Speaker 1: then I don't get instant transformation. And so I'll eat 415 00:24:11,960 --> 00:24:15,320 Speaker 1: the cake today, but I'll start tomorrow. And that becomes 416 00:24:15,359 --> 00:24:18,400 Speaker 1: a twenty year in a dialogue. And now I'm fifty 417 00:24:18,440 --> 00:24:21,679 Speaker 1: two and now I'm morbidly obese. My back hurts, I've 418 00:24:21,680 --> 00:24:24,880 Speaker 1: got high blood pressure, I'm diabetic, and I've almost been 419 00:24:25,000 --> 00:24:28,840 Speaker 1: changing my operating system since I was thirty, and that 420 00:24:28,960 --> 00:24:31,840 Speaker 1: is I think that is the hard thing about delaying 421 00:24:31,880 --> 00:24:35,960 Speaker 1: gratification is that they're you know, the point of the 422 00:24:36,040 --> 00:24:40,000 Speaker 1: point is that we love that fix that whatever right now, 423 00:24:40,160 --> 00:24:43,320 Speaker 1: and when we say no, you just left in this 424 00:24:43,560 --> 00:24:45,960 Speaker 1: kind of space of well, this is not much fun. 425 00:24:46,040 --> 00:24:49,600 Speaker 1: And the worst thing I've put that in inverted commas 426 00:24:50,400 --> 00:24:51,800 Speaker 1: is that you've got to have quite a lot of 427 00:24:51,840 --> 00:24:56,720 Speaker 1: those days to actually see real shift, and then you've 428 00:24:56,720 --> 00:25:00,400 Speaker 1: got a string years together to actually change your you know, 429 00:25:00,440 --> 00:25:04,440 Speaker 1: your hardwired operating system. And this is you know, when 430 00:25:04,480 --> 00:25:08,240 Speaker 1: you've been eating and thinking and behaving and socializing and 431 00:25:08,920 --> 00:25:11,600 Speaker 1: living a certain way for twenty five years, you're not 432 00:25:11,640 --> 00:25:13,720 Speaker 1: going to fix that by next Tuesday. You know. 433 00:25:14,800 --> 00:25:18,960 Speaker 2: No, it's a step wise process and it's not something 434 00:25:19,080 --> 00:25:21,520 Speaker 2: This is a misconception that a lot of people have, 435 00:25:21,560 --> 00:25:25,280 Speaker 2: and that's why fad diets are so popular. Everybody's looking 436 00:25:25,320 --> 00:25:28,880 Speaker 2: for a quick fix, just like you know, the satisfaction 437 00:25:28,960 --> 00:25:31,240 Speaker 2: you get from a piece of cake. They want to 438 00:25:31,240 --> 00:25:34,000 Speaker 2: get a quick fix out of a dietary program. And 439 00:25:34,040 --> 00:25:37,119 Speaker 2: that's not going to happen. That's not how these things work. Yes, 440 00:25:37,240 --> 00:25:42,120 Speaker 2: these are more like lifelong changes. Lifestyle changes. You have 441 00:25:42,200 --> 00:25:49,520 Speaker 2: to program your brain to resist instant gratification, keeping in 442 00:25:49,600 --> 00:25:53,359 Speaker 2: mind the long term goal and the long term satisfaction 443 00:25:53,840 --> 00:25:58,600 Speaker 2: that will come with a healthier you know, with a 444 00:25:58,600 --> 00:26:02,480 Speaker 2: healthier body. So it's hard for human beings to think 445 00:26:02,560 --> 00:26:06,120 Speaker 2: like that because again we're not evolutionarily designed to think 446 00:26:06,200 --> 00:26:10,479 Speaker 2: in the long term. Our lives used to be much shorter, okay, 447 00:26:10,840 --> 00:26:15,000 Speaker 2: and resources were much more scarce, so we operated on 448 00:26:15,040 --> 00:26:19,320 Speaker 2: a very here and now level okay. And again that 449 00:26:19,440 --> 00:26:22,360 Speaker 2: kind of behavior is deeply ingrained into our brain. It's 450 00:26:22,400 --> 00:26:26,160 Speaker 2: deeply hardwired there. So you really do have to put 451 00:26:26,200 --> 00:26:30,640 Speaker 2: forth substantial effort. And that's why this is not easy. Crazy. 452 00:26:30,640 --> 00:26:32,600 Speaker 2: This is why so many people fail when they try. 453 00:26:33,280 --> 00:26:36,159 Speaker 2: Is you have to put forth a daily effort to 454 00:26:36,320 --> 00:26:39,560 Speaker 2: try to resist the instant gratification, keeping in mind the 455 00:26:39,600 --> 00:26:43,200 Speaker 2: real prize is down the road, and it's full of 456 00:26:43,280 --> 00:26:46,600 Speaker 2: hurdles to get there, but it's worth getting there. 457 00:26:47,280 --> 00:26:51,720 Speaker 1: Yeah, I my listeners know this, but don't after you know, 458 00:26:51,760 --> 00:26:54,800 Speaker 1: at doc, But I spent. I always had food issues 459 00:26:54,800 --> 00:26:56,080 Speaker 1: when I was a kid because I was a fat 460 00:26:56,160 --> 00:26:58,600 Speaker 1: kid and I had everything that wasn't niled down. And 461 00:26:58,640 --> 00:27:01,760 Speaker 1: then I got in shape, lean strong, functional, and then 462 00:27:02,160 --> 00:27:07,080 Speaker 1: towards my late twenties and early thirties, I had five businesses. 463 00:27:07,280 --> 00:27:10,159 Speaker 1: Life was good, making lots go, you know, from the 464 00:27:10,200 --> 00:27:16,879 Speaker 1: outside looking in, everything was good. But my volatile relationship 465 00:27:16,920 --> 00:27:19,520 Speaker 1: with food kind of re emerged and I started to 466 00:27:19,640 --> 00:27:21,320 Speaker 1: just I'll have a little bit of this, little bit 467 00:27:21,359 --> 00:27:24,600 Speaker 1: of that, and that won't hurt you know, one piece 468 00:27:24,680 --> 00:27:27,480 Speaker 1: won't kill me, that kind of idea, and of course 469 00:27:27,520 --> 00:27:30,719 Speaker 1: one piece won't literally kill you generally. But then I 470 00:27:30,760 --> 00:27:33,240 Speaker 1: looked up a minute later, which was probably a year later, 471 00:27:33,320 --> 00:27:38,520 Speaker 1: and I was basically fat again. And I remember, so 472 00:27:38,600 --> 00:27:41,679 Speaker 1: here I am. I'm this guy who's got quite a 473 00:27:41,760 --> 00:27:46,719 Speaker 1: high profile in Australian fitness and workshops and seminars all 474 00:27:46,720 --> 00:27:50,440 Speaker 1: around the country. I'm writing for magazines and news. I'm 475 00:27:50,440 --> 00:27:54,639 Speaker 1: doing all this stuff and I'm lying. I'm lying to 476 00:27:54,720 --> 00:27:57,879 Speaker 1: people about what I do, you know, And I'm wearing 477 00:27:57,920 --> 00:28:02,720 Speaker 1: bigger and baggier workout so people won't know. Of course 478 00:28:02,800 --> 00:28:05,640 Speaker 1: they won't. No, nobody could possibly tell, because these are 479 00:28:05,640 --> 00:28:09,960 Speaker 1: magic clothes right right right Like for me, I don't 480 00:28:10,000 --> 00:28:13,399 Speaker 1: know about you, but for me, like food was it 481 00:28:14,240 --> 00:28:16,520 Speaker 1: really took until I was and even though I knew 482 00:28:16,560 --> 00:28:20,520 Speaker 1: what to do. I had pretty good understanding, I was 483 00:28:20,560 --> 00:28:25,119 Speaker 1: pretty educated all that. For me, it just took, I 484 00:28:25,160 --> 00:28:29,280 Speaker 1: would say, until I was about thirty five before I 485 00:28:29,440 --> 00:28:33,080 Speaker 1: got I would say almost the analogy would be clean 486 00:28:33,119 --> 00:28:35,040 Speaker 1: and sober. Do you know what I mean? Where I 487 00:28:35,119 --> 00:28:38,640 Speaker 1: wasn't pushing itself or others. Took me a long time. 488 00:28:39,960 --> 00:28:43,200 Speaker 2: I've heard psychologists talk in those terms about food addiction 489 00:28:43,320 --> 00:28:47,920 Speaker 2: and john food addiction, treating it as such and people 490 00:28:47,920 --> 00:28:50,320 Speaker 2: who can finally modify their habits as kind of a 491 00:28:50,440 --> 00:28:54,280 Speaker 2: sobering up. I've heard that before. So it's a pretty 492 00:28:54,280 --> 00:28:57,680 Speaker 2: apt analogy, I would say. And there's even been studies 493 00:28:57,680 --> 00:28:59,480 Speaker 2: that show that sugar lates up to seeing parts of 494 00:28:59,520 --> 00:29:04,280 Speaker 2: your brain cocaine will, So there are some parallels there. 495 00:29:04,480 --> 00:29:07,560 Speaker 2: And everyone is well aware how hard it is to 496 00:29:07,600 --> 00:29:11,560 Speaker 2: break addiction with substances like cocaine or alcohol. But what 497 00:29:11,600 --> 00:29:15,200 Speaker 2: we don't appreciate very much is it's just as hard 498 00:29:15,680 --> 00:29:18,800 Speaker 2: in many cases to break those addictions to sugar, fat, 499 00:29:18,880 --> 00:29:22,400 Speaker 2: and salt as well. I applaud you for doing it, 500 00:29:22,640 --> 00:29:24,840 Speaker 2: and I know a lot of people struggle with it because, 501 00:29:26,200 --> 00:29:29,880 Speaker 2: like I said, we are evolutionarily hardwired to go after 502 00:29:29,960 --> 00:29:33,080 Speaker 2: those types of foods so we're basically trying to put 503 00:29:33,120 --> 00:29:37,320 Speaker 2: a break on the human spirit itself. We're trying to 504 00:29:37,360 --> 00:29:42,200 Speaker 2: put a break on innate, impulsive actions, and that's really 505 00:29:42,240 --> 00:29:44,960 Speaker 2: difficult to do, but it can be done. And what 506 00:29:45,080 --> 00:29:49,160 Speaker 2: I found, you know, as I started to eat better 507 00:29:49,640 --> 00:29:52,200 Speaker 2: and because you know, as you get older, your metabolism 508 00:29:52,280 --> 00:29:54,600 Speaker 2: isn't what it used to be, and the same foods 509 00:29:54,600 --> 00:29:57,120 Speaker 2: that you put into you start to pack on pounds 510 00:29:57,200 --> 00:30:01,920 Speaker 2: rather than just magically, you know, disappear. So I noticed 511 00:30:01,960 --> 00:30:04,640 Speaker 2: in my twenties I was gaining weight for like the 512 00:30:04,680 --> 00:30:08,120 Speaker 2: first time in my life, but my diet wasn't changing much. 513 00:30:09,240 --> 00:30:12,680 Speaker 2: But since my metabolism was changing because of age and 514 00:30:12,800 --> 00:30:15,720 Speaker 2: I was a little more sedentary in those days, I 515 00:30:15,760 --> 00:30:18,800 Speaker 2: had to make some changes in order to stay as 516 00:30:18,880 --> 00:30:20,960 Speaker 2: lean as I used to be. And I wanted to 517 00:30:21,000 --> 00:30:23,240 Speaker 2: do that because in my brain I knew it was healthy. 518 00:30:23,560 --> 00:30:27,840 Speaker 2: You know, I'm here working in biomedical sciences, so I 519 00:30:27,960 --> 00:30:31,040 Speaker 2: have to toe that line, right, you know, I have 520 00:30:31,120 --> 00:30:33,320 Speaker 2: to practice what I preach, kind of like your story 521 00:30:33,480 --> 00:30:37,520 Speaker 2: was alluding to. So I made those changes, and they 522 00:30:37,520 --> 00:30:41,840 Speaker 2: were really difficult. You know, breaking habits and forming new ones. 523 00:30:42,240 --> 00:30:45,440 Speaker 2: It's serious business, but it can be done. And the 524 00:30:45,480 --> 00:30:49,560 Speaker 2: good news is that, at least in my experience, as 525 00:30:49,560 --> 00:30:51,680 Speaker 2: you start to eat healthier and as you start to 526 00:30:51,720 --> 00:30:55,320 Speaker 2: move around more and get more exercise, these sorts of 527 00:30:55,360 --> 00:30:59,480 Speaker 2: activities become addictive as well. So you're trading off an 528 00:30:59,480 --> 00:31:04,080 Speaker 2: addiction for junk food for an addiction with healthy behavior. Okay. 529 00:31:05,520 --> 00:31:08,719 Speaker 2: I used to be addicted to mountain dew, doctor pepper, 530 00:31:08,760 --> 00:31:12,080 Speaker 2: these sodas, okay, these are these sugar waters. I made 531 00:31:12,120 --> 00:31:17,600 Speaker 2: a clean cold turkey break from those after realizing It's 532 00:31:17,600 --> 00:31:19,840 Speaker 2: hard for me to fathom that. When I was younger, 533 00:31:19,880 --> 00:31:21,880 Speaker 2: I did not appreciate how much sugar was in a 534 00:31:21,920 --> 00:31:25,920 Speaker 2: single can of pop or soda. And once I learned that, 535 00:31:26,040 --> 00:31:28,840 Speaker 2: once someone told me that, I'm like, holy crap, I 536 00:31:28,920 --> 00:31:31,760 Speaker 2: really got to knock this stuff off. This is an 537 00:31:31,840 --> 00:31:35,360 Speaker 2: easy way to start losing weight. Okay, So I quit 538 00:31:35,400 --> 00:31:37,920 Speaker 2: them cold turkey. I just started drinking water. You know, 539 00:31:38,680 --> 00:31:41,240 Speaker 2: water is plenty of refreshing for me. That was one 540 00:31:41,280 --> 00:31:44,440 Speaker 2: of the biggest changes I saw. You know, in my 541 00:31:45,400 --> 00:31:51,160 Speaker 2: history of dealing with weight issues, is that just dropping 542 00:31:51,240 --> 00:31:55,120 Speaker 2: soda out of your life can work. Wonders. But then 543 00:31:55,160 --> 00:31:58,640 Speaker 2: I'm like, you know, get addicted to all sorts of teas, 544 00:31:58,880 --> 00:32:03,240 Speaker 2: you know, and you know there's other alternatives out there 545 00:32:03,280 --> 00:32:08,480 Speaker 2: that you can find and enjoy with as much you know, 546 00:32:08,720 --> 00:32:12,520 Speaker 2: passion as you did the other products. The big difference 547 00:32:12,560 --> 00:32:13,400 Speaker 2: is they're healthier for you. 548 00:32:14,120 --> 00:32:17,120 Speaker 1: Yeah. One of the things I used to do doc 549 00:32:17,160 --> 00:32:19,600 Speaker 1: when I owned gyms and I did you know my 550 00:32:20,360 --> 00:32:23,120 Speaker 1: I was at the cold face of personal training forever. 551 00:32:24,120 --> 00:32:26,800 Speaker 1: And when people would come in, we'd do an assessment, 552 00:32:26,840 --> 00:32:29,560 Speaker 1: which would be, you know, there'd be a bit of 553 00:32:29,640 --> 00:32:34,600 Speaker 1: formal stuff, a bit of hesting per se, you know, 554 00:32:34,640 --> 00:32:36,920 Speaker 1: strength and fitness, and a few bits and pieces, but 555 00:32:37,000 --> 00:32:39,280 Speaker 1: we'd have a really good chat and I would say 556 00:32:39,280 --> 00:32:42,360 Speaker 1: to people. People would say, no, I've got to I 557 00:32:42,400 --> 00:32:44,200 Speaker 1: eat too much, you know, I moved too little, all 558 00:32:44,240 --> 00:32:47,200 Speaker 1: that kind of stuff. And I'd say, take me through 559 00:32:47,240 --> 00:32:49,360 Speaker 1: a typical day of what you put in your body. 560 00:32:51,160 --> 00:32:54,040 Speaker 1: And they'd tell me breakfast, lunch, and dinner. And I'd go, yeah, 561 00:32:54,080 --> 00:32:57,080 Speaker 1: but tell me about all the stuff you drink. And 562 00:32:57,280 --> 00:33:01,640 Speaker 1: what was interesting was a bigger percentage of people than 563 00:33:01,680 --> 00:33:06,000 Speaker 1: you might imagine drink about a thousand calories a day 564 00:33:06,680 --> 00:33:08,160 Speaker 1: on top of their meals. 565 00:33:08,600 --> 00:33:12,320 Speaker 2: Right, they make coffees over here that are almost a 566 00:33:12,400 --> 00:33:15,960 Speaker 2: thousand calories in one serving. It's insane. 567 00:33:16,600 --> 00:33:19,240 Speaker 1: Yeah, And that's what people don't realize. So I used 568 00:33:19,280 --> 00:33:22,480 Speaker 1: to say to people, what we're going to do, Like 569 00:33:22,960 --> 00:33:25,760 Speaker 1: if obviously this would be a collaboration, but I'd say, 570 00:33:25,760 --> 00:33:29,000 Speaker 1: why don't we do this, Why don't we just cut 571 00:33:29,000 --> 00:33:32,120 Speaker 1: out liquid calories for one month, Let's try that. Let's 572 00:33:32,240 --> 00:33:34,880 Speaker 1: leave your food as it is, because my experience is 573 00:33:34,920 --> 00:33:37,400 Speaker 1: the more things you try and change the more drastically, 574 00:33:37,440 --> 00:33:39,840 Speaker 1: the less likely people are to maintain it over any 575 00:33:39,920 --> 00:33:43,120 Speaker 1: length of time. Right, So, or we might even say, 576 00:33:43,200 --> 00:33:46,680 Speaker 1: you know, like have one flat white or one latte 577 00:33:46,760 --> 00:33:48,600 Speaker 1: a day or whatever it is, but we go from 578 00:33:48,600 --> 00:33:51,840 Speaker 1: a thousand calories to two hundred calories of liquid. So 579 00:33:51,880 --> 00:33:55,000 Speaker 1: that's eight hundred calories. You know, over thirty days is 580 00:33:55,040 --> 00:33:58,440 Speaker 1: twenty four thousand calories we're cutting out without eating any 581 00:33:58,520 --> 00:34:02,080 Speaker 1: less food. Just that one little hack or that one 582 00:34:02,160 --> 00:34:09,239 Speaker 1: little protocol would absolutely create real change, you know, Like 583 00:34:09,440 --> 00:34:15,600 Speaker 1: it doesn't need to be this overwhelming kind of massive 584 00:34:15,719 --> 00:34:19,920 Speaker 1: global shift in your operating system. It might just be like, oh, 585 00:34:20,160 --> 00:34:23,040 Speaker 1: you know, well, let's say you have one or two 586 00:34:23,120 --> 00:34:25,399 Speaker 1: wines a night, and you have three coffees a day, 587 00:34:25,480 --> 00:34:27,759 Speaker 1: and you have fruit juice in the morning, and then 588 00:34:27,800 --> 00:34:31,439 Speaker 1: you have phil cream milk on your cereal and there's 589 00:34:31,440 --> 00:34:34,560 Speaker 1: a thousand calories. Oh, there's more than a thousand calories. 590 00:34:34,880 --> 00:34:39,120 Speaker 2: So so I like that approach though, because it's kind 591 00:34:39,120 --> 00:34:42,960 Speaker 2: of like taking baby steps. That approach, to me is 592 00:34:43,000 --> 00:34:45,840 Speaker 2: pretty ingenious, and it's a good way to kind of 593 00:34:45,880 --> 00:34:48,320 Speaker 2: get people to wade into the water of a healthy 594 00:34:48,360 --> 00:34:52,399 Speaker 2: lifestyle because you're allowing them to continue to eat as 595 00:34:52,400 --> 00:34:57,520 Speaker 2: they normally would, but you're strategically looking at the beverage factor, 596 00:34:57,560 --> 00:35:02,160 Speaker 2: which is underappreciated and offmost people's radars. They don't realize 597 00:35:02,200 --> 00:35:04,640 Speaker 2: how many calories are in the sodas and some of 598 00:35:04,680 --> 00:35:09,320 Speaker 2: these you know, you know, these lattes and cappuccinos and 599 00:35:09,360 --> 00:35:14,719 Speaker 2: stuff or you know, or milkshakes or whatever. Get those 600 00:35:14,719 --> 00:35:18,800 Speaker 2: out of your life and maybe walk fifteen twenty minutes 601 00:35:18,840 --> 00:35:23,840 Speaker 2: a day. You'll see a pretty revolutionary change just with 602 00:35:23,960 --> 00:35:26,319 Speaker 2: those small modifications. 603 00:35:26,840 --> 00:35:29,480 Speaker 1: One of the things that I think, I totally agree. 604 00:35:29,520 --> 00:35:30,920 Speaker 1: One of the things I think that a lot of 605 00:35:31,360 --> 00:35:33,720 Speaker 1: I can only talk from my industry or the industry 606 00:35:33,719 --> 00:35:37,120 Speaker 1: that I came from, which is the fitness industry, is 607 00:35:37,160 --> 00:35:39,200 Speaker 1: because a lot of people who work in the fitness 608 00:35:39,200 --> 00:35:44,560 Speaker 1: industry are of course fit, strong, healthy, functional, and they 609 00:35:44,760 --> 00:35:46,520 Speaker 1: not all of them, but a lot of them have 610 00:35:46,760 --> 00:35:52,440 Speaker 1: a certain way of eating, and you know, by typical standards. 611 00:35:52,480 --> 00:35:56,560 Speaker 1: You know. It's like I put up a post yesterday 612 00:35:56,600 --> 00:36:02,200 Speaker 1: on Instagram which is essentially a reflection of I didn't 613 00:36:02,200 --> 00:36:03,800 Speaker 1: intend to read this, I'm just going to bring it 614 00:36:03,880 --> 00:36:07,000 Speaker 1: up right now, which is not very and so one 615 00:36:07,000 --> 00:36:10,120 Speaker 1: of the things that I've been told a thousand times 616 00:36:10,200 --> 00:36:14,040 Speaker 1: is but you've got to have a life, right And 617 00:36:14,120 --> 00:36:18,040 Speaker 1: so people are inferring, you know, and I understand it 618 00:36:18,080 --> 00:36:21,280 Speaker 1: doesn't make I completely understand why they say it, because 619 00:36:21,320 --> 00:36:24,000 Speaker 1: when they look at my life through their lens, I'm 620 00:36:24,040 --> 00:36:27,920 Speaker 1: the most boring person on the planet. I'm clearly malnourished, 621 00:36:27,960 --> 00:36:31,160 Speaker 1: I clearly have no fun I have no you know, 622 00:36:31,280 --> 00:36:34,240 Speaker 1: And so I understand this. But one of the things 623 00:36:34,280 --> 00:36:37,080 Speaker 1: that trainers do sometimes also is they look at the 624 00:36:37,160 --> 00:36:41,360 Speaker 1: client through their window and their lens and they try 625 00:36:41,440 --> 00:36:46,640 Speaker 1: to take the client from this operating system at one 626 00:36:46,800 --> 00:36:48,680 Speaker 1: end of the scale to the other end of the 627 00:36:48,680 --> 00:36:52,000 Speaker 1: scale in a week, and it just never. 628 00:36:51,840 --> 00:36:55,640 Speaker 2: Works because you too much as you've just got to you. 629 00:36:55,600 --> 00:37:04,080 Speaker 1: Know what, this is a multi dimensional challenge. This is psychological, emotional, sociological, behavioral, physiological. 630 00:37:04,560 --> 00:37:06,719 Speaker 1: You know, there are so many variables here. And what 631 00:37:06,760 --> 00:37:09,360 Speaker 1: you're trying to do is work with Sally or John 632 00:37:09,920 --> 00:37:12,759 Speaker 1: that for twenty five years have kind of been in 633 00:37:12,800 --> 00:37:18,160 Speaker 1: this reality and now you're taking them over to Disneyland 634 00:37:18,760 --> 00:37:20,120 Speaker 1: and going you've got to live here. 635 00:37:20,160 --> 00:37:20,399 Speaker 2: Now. 636 00:37:20,520 --> 00:37:23,480 Speaker 1: It just doesn't work like that. So being able to 637 00:37:24,239 --> 00:37:27,640 Speaker 1: I mean, this is something that people roll their eyes at, 638 00:37:27,840 --> 00:37:30,279 Speaker 1: but I remember I worked with a guy who used 639 00:37:30,280 --> 00:37:32,920 Speaker 1: to smoke. This is not a lie over one hundred 640 00:37:32,920 --> 00:37:36,080 Speaker 1: cigarettes a day. So basically from when he woke up 641 00:37:36,080 --> 00:37:38,400 Speaker 1: to when he went to bed and he came to 642 00:37:38,440 --> 00:37:42,600 Speaker 1: me and like, clearly so many things to deal with. 643 00:37:42,680 --> 00:37:47,960 Speaker 1: But and so our goal in the first week, our 644 00:37:48,000 --> 00:37:51,959 Speaker 1: goal was to smoke fifty cigarettes a day. And people 645 00:37:52,000 --> 00:37:55,880 Speaker 1: are like, how on earth are you okay with that 646 00:37:55,960 --> 00:37:58,120 Speaker 1: as a goal. I'm like, that is a smart goal, 647 00:37:58,320 --> 00:38:01,560 Speaker 1: you know why, because that's half like me setting him 648 00:38:01,560 --> 00:38:04,319 Speaker 1: a goal of zero or five. He's not going to 649 00:38:04,360 --> 00:38:05,840 Speaker 1: do it. He's not going to do it. 650 00:38:05,920 --> 00:38:08,120 Speaker 2: Yeah, you need to frame it in terms of like 651 00:38:08,120 --> 00:38:10,919 Speaker 2: a percentage. They say, I got this person to cut 652 00:38:10,960 --> 00:38:13,440 Speaker 2: back fifty percent. That way, they're not here in the 653 00:38:13,480 --> 00:38:15,680 Speaker 2: raw numbers, you know, but when you hear is that 654 00:38:15,760 --> 00:38:19,879 Speaker 2: someone cut their habit in half, that's really admirable, you know, yeah, 655 00:38:19,920 --> 00:38:22,560 Speaker 2: cut it in half again, and so on, and you 656 00:38:22,600 --> 00:38:26,560 Speaker 2: know it's a reasonable approach. I think you're right. You know, 657 00:38:27,280 --> 00:38:29,319 Speaker 2: it's a really good point that you raise in that 658 00:38:29,760 --> 00:38:32,759 Speaker 2: there's no one stop shop for everybody when it comes 659 00:38:32,840 --> 00:38:35,320 Speaker 2: to changing their habits. You really do have to factor 660 00:38:35,360 --> 00:38:39,080 Speaker 2: in their holistic life. You know, what sort of experiences 661 00:38:39,200 --> 00:38:43,000 Speaker 2: have they had to have led them to their current behaviors, 662 00:38:43,200 --> 00:38:46,720 Speaker 2: and you have to work through those channels and see 663 00:38:46,760 --> 00:38:50,959 Speaker 2: things through their eyes in order to design the most 664 00:38:51,120 --> 00:38:54,800 Speaker 2: ideal program that's going to be effective in modifying behavior. 665 00:38:55,520 --> 00:38:59,760 Speaker 1: Yeah, spirit of mind, doc, trying to understand someone else's 666 00:38:59,760 --> 00:39:01,759 Speaker 1: bog of right now? All right, I've got a few 667 00:39:02,160 --> 00:39:07,040 Speaker 1: I've got a few Bill Sullivan questions for you. Firstly, 668 00:39:07,320 --> 00:39:12,920 Speaker 1: I read that I read that Adam Alter wrote basically 669 00:39:13,000 --> 00:39:18,440 Speaker 1: a testimony on your your book. So, doctor Bill's book, 670 00:39:18,640 --> 00:39:21,600 Speaker 1: if you haven't heard of it, you should by now 671 00:39:21,640 --> 00:39:24,160 Speaker 1: please to meet me. Jean's germs and the curious forces 672 00:39:24,160 --> 00:39:26,200 Speaker 1: that make us who we are. But I read Adam 673 00:39:26,239 --> 00:39:30,600 Speaker 1: Alter's book Drunk Tank Pink, I must have been ten 674 00:39:30,680 --> 00:39:32,719 Speaker 1: years ago or eight or seven years ago. A long 675 00:39:32,760 --> 00:39:36,120 Speaker 1: time ago now, but what a great book. Great book, 676 00:39:36,280 --> 00:39:40,880 Speaker 1: and can you have you read it? Have you read it? 677 00:39:40,920 --> 00:39:43,120 Speaker 2: Like you It was about eight years ago or so 678 00:39:43,480 --> 00:39:44,359 Speaker 2: when it first came out. 679 00:39:44,600 --> 00:39:47,640 Speaker 1: Yeah, so I remember the story that he tells doc 680 00:39:47,840 --> 00:39:51,040 Speaker 1: of and maybe you can explain how this works. Right. 681 00:39:51,680 --> 00:39:56,440 Speaker 1: So one of the things that they there was a 682 00:39:56,440 --> 00:40:00,719 Speaker 1: a police station and they had these holding cells basically 683 00:40:00,760 --> 00:40:04,280 Speaker 1: for drunk people. And so it was in this area 684 00:40:04,320 --> 00:40:06,680 Speaker 1: I forget where it was, but really violent people and 685 00:40:06,719 --> 00:40:10,400 Speaker 1: they'd put all these blokes essentially men in these holding 686 00:40:10,480 --> 00:40:13,279 Speaker 1: cells overnight and there'd be punch ons and violence. It 687 00:40:13,360 --> 00:40:16,319 Speaker 1: was one of the most violent, you know, kind of 688 00:40:17,239 --> 00:40:21,040 Speaker 1: places in the States, or holding cells in any way. 689 00:40:21,160 --> 00:40:26,720 Speaker 1: They they found out that through a range of different things, 690 00:40:26,760 --> 00:40:30,200 Speaker 1: that if they painted the holding cells pink, that it 691 00:40:30,239 --> 00:40:35,440 Speaker 1: completely changed the behavior of the prisoners or the people 692 00:40:35,480 --> 00:40:40,040 Speaker 1: being held, and it totally affected their nervous system the 693 00:40:40,080 --> 00:40:46,319 Speaker 1: way they communicated that the violence almost went to zero. Like, 694 00:40:46,400 --> 00:40:50,919 Speaker 1: what an amazing thing to think that having like being 695 00:40:51,000 --> 00:40:54,239 Speaker 1: basically in a pink room versus a gray room is 696 00:40:54,280 --> 00:40:56,880 Speaker 1: going to change behavior that much. 697 00:40:58,880 --> 00:41:01,200 Speaker 2: There's been a lot of stuff that have looked at 698 00:41:01,280 --> 00:41:06,960 Speaker 2: the behavioral effects of responding to different colors. You know, 699 00:41:07,000 --> 00:41:10,080 Speaker 2: there's been some studies that show if a boxer has 700 00:41:10,120 --> 00:41:14,080 Speaker 2: on red trunks, he tends to be perceived as much 701 00:41:14,120 --> 00:41:18,160 Speaker 2: more aggressive than say a boxer who's wearing neutral or 702 00:41:18,200 --> 00:41:19,120 Speaker 2: white trunks. 703 00:41:19,560 --> 00:41:19,880 Speaker 1: Wow. 704 00:41:20,400 --> 00:41:24,640 Speaker 2: There's been also studies and pharmaceutical companies do this where 705 00:41:24,680 --> 00:41:28,920 Speaker 2: they you know, you know how pills get their colors. 706 00:41:28,719 --> 00:41:33,600 Speaker 2: It's marketing. They give different colored pills to different people. 707 00:41:34,200 --> 00:41:37,600 Speaker 2: And I forget some of the specifics, but like a 708 00:41:37,719 --> 00:41:45,080 Speaker 2: yellow pill works fantastically better as an antidepressive depressant than 709 00:41:45,120 --> 00:41:47,920 Speaker 2: an antidepressant that had no color or some kind of 710 00:41:47,920 --> 00:41:50,560 Speaker 2: neutral color. But if you make it yellow, it seems 711 00:41:50,560 --> 00:41:53,239 Speaker 2: to work even better. So it's like there's a placebo 712 00:41:53,320 --> 00:41:57,239 Speaker 2: effect accompanying some of these drugs just because of the 713 00:41:57,239 --> 00:42:01,120 Speaker 2: color of the pill. It's pretty remarkable. And people, if 714 00:42:01,160 --> 00:42:04,360 Speaker 2: you want them to be more urgent, more productive, you 715 00:42:04,480 --> 00:42:07,759 Speaker 2: put them in a red room as opposed to like 716 00:42:07,800 --> 00:42:10,399 Speaker 2: a green room, because red has a more of an 717 00:42:10,560 --> 00:42:13,120 Speaker 2: urgency about it, and people seem to work faster and 718 00:42:13,200 --> 00:42:15,719 Speaker 2: harder in a red room and in a green room 719 00:42:15,920 --> 00:42:18,520 Speaker 2: they're kind of more chill, but they can get more creative. 720 00:42:18,920 --> 00:42:22,040 Speaker 2: So it's really interesting how those colors which we're not 721 00:42:22,080 --> 00:42:24,880 Speaker 2: even thinking about, right, it's not on our conscious radar, 722 00:42:25,320 --> 00:42:28,720 Speaker 2: but it is somehow affecting us at a subconscious level, 723 00:42:28,920 --> 00:42:31,320 Speaker 2: and it's percolating up to change our behavior. 724 00:42:32,200 --> 00:42:36,960 Speaker 1: It's amazing the amount of different stimulile variables that can 725 00:42:37,040 --> 00:42:42,720 Speaker 1: impact your psychological and or emotional system without you knowing 726 00:42:43,360 --> 00:42:46,160 Speaker 1: or without you being super conscious in the moment. Like, 727 00:42:47,560 --> 00:42:51,399 Speaker 1: I'm very affected by music, and the wrong music can 728 00:42:51,440 --> 00:42:55,920 Speaker 1: make me agitated, and the right music, when I say 729 00:42:56,000 --> 00:43:00,760 Speaker 1: right music for me can just literally make me happy. 730 00:43:01,320 --> 00:43:04,719 Speaker 2: Like well, as someone who in a is someone who 731 00:43:04,800 --> 00:43:07,080 Speaker 2: works in a gym, you have to know that music 732 00:43:07,080 --> 00:43:09,759 Speaker 2: can make a really big difference. If you're playing air 733 00:43:09,800 --> 00:43:11,880 Speaker 2: supply in the background, you're not going to have a 734 00:43:11,880 --> 00:43:12,560 Speaker 2: great workout. 735 00:43:13,120 --> 00:43:16,960 Speaker 1: Oh loud of love, God, how do you know is supply? 736 00:43:17,280 --> 00:43:20,680 Speaker 1: How old are you? 737 00:43:20,760 --> 00:43:22,680 Speaker 2: Well? How you from Australia? 738 00:43:23,080 --> 00:43:24,919 Speaker 1: Yeah, that's good, dude. Well you're just got to mention 739 00:43:25,000 --> 00:43:28,440 Speaker 1: the begs and in excess and. 740 00:43:27,600 --> 00:43:30,799 Speaker 2: There you know, But like you put on you put 741 00:43:30,840 --> 00:43:34,040 Speaker 2: on survivors ay the Tiger, and it's a different story. Right, 742 00:43:34,080 --> 00:43:36,480 Speaker 2: you're lifting twice as much as you used to be 743 00:43:36,520 --> 00:43:39,239 Speaker 2: able to do when you were hearing lost, lost in 744 00:43:39,320 --> 00:43:42,719 Speaker 2: Love or whatever their whatever air supplies, uh songs. 745 00:43:44,160 --> 00:43:46,680 Speaker 1: You're not helping You're not helping your brand by knowing that. 746 00:43:46,719 --> 00:43:50,080 Speaker 1: I'm just going to say you that, I tell you that. Hey. So, 747 00:43:50,120 --> 00:43:53,799 Speaker 1: one of the pieces of advice that I got it's 748 00:43:53,880 --> 00:43:57,640 Speaker 1: not going to surprise you growing up, was that you 749 00:43:57,719 --> 00:44:02,360 Speaker 1: need to control your emotions. My question is is that possible? 750 00:44:02,760 --> 00:44:06,160 Speaker 1: Can we control our emotions or do we just respond 751 00:44:06,160 --> 00:44:10,880 Speaker 1: to them? Or do our emotions control us? Or is 752 00:44:10,920 --> 00:44:11,840 Speaker 1: there a better question? 753 00:44:14,000 --> 00:44:17,440 Speaker 2: Well, there's certainly a lot of variability, But let me 754 00:44:17,480 --> 00:44:20,640 Speaker 2: ask you, do you think you control your emotions better 755 00:44:20,719 --> 00:44:22,360 Speaker 2: than when you were two years old? 756 00:44:24,920 --> 00:44:29,359 Speaker 1: But most people that'd say, yes, I know you, I do, Yes, 757 00:44:29,440 --> 00:44:30,000 Speaker 1: I do. 758 00:44:30,040 --> 00:44:33,120 Speaker 2: Well, Yeah, then we can control our emotions. We certainly can. 759 00:44:33,880 --> 00:44:37,200 Speaker 2: So we have that capacity. Is it easy? No, No, 760 00:44:37,239 --> 00:44:44,440 Speaker 2: it's not. Emotions are primal. They surge within us beyond 761 00:44:44,440 --> 00:44:48,480 Speaker 2: our control. Okay. We can't control what emotions we feel, 762 00:44:49,040 --> 00:44:52,479 Speaker 2: can't really control what sort of thoughts pop into our mind. 763 00:44:53,080 --> 00:44:58,440 Speaker 2: But we can put a space in between those sensations 764 00:44:58,480 --> 00:45:02,880 Speaker 2: that we feel and what we're going to do about them. Okay. 765 00:45:02,960 --> 00:45:07,240 Speaker 2: That's what makes us human is we can insert this space, 766 00:45:07,320 --> 00:45:12,000 Speaker 2: this pause in between our emotions and our actions, and 767 00:45:12,040 --> 00:45:16,680 Speaker 2: we can take the time to evaluate the emotion and 768 00:45:16,960 --> 00:45:21,840 Speaker 2: produce the corresponding reaction that is appropriate to it. Okay. 769 00:45:22,040 --> 00:45:27,120 Speaker 2: The classic example is that and we're by we're strongly 770 00:45:27,160 --> 00:45:30,440 Speaker 2: biased towards paying attention to our negative emotions. I think 771 00:45:30,520 --> 00:45:34,719 Speaker 2: everyone is pretty aware of that. But that's a survival mechanism. 772 00:45:35,080 --> 00:45:37,960 Speaker 2: Because if you're walking through the woods and you hear 773 00:45:38,080 --> 00:45:42,279 Speaker 2: rustling in the bushes, okay, your first instinct is probably like, oh, 774 00:45:42,320 --> 00:45:44,319 Speaker 2: this is an animal or a snake or something out 775 00:45:44,360 --> 00:45:46,680 Speaker 2: to get me, and you might you might run and 776 00:45:46,719 --> 00:45:49,640 Speaker 2: take off, but it could have just been the wind. Okay. 777 00:45:49,960 --> 00:45:53,279 Speaker 2: So again, the beauty of being human is that we 778 00:45:53,280 --> 00:45:58,360 Speaker 2: hear these noises, these suspicious noises, we can evaluate that 779 00:45:58,440 --> 00:46:01,719 Speaker 2: emotion in the context of the situation and see if 780 00:46:01,719 --> 00:46:04,440 Speaker 2: it's a real threat or not. If it's a threat, 781 00:46:04,440 --> 00:46:06,200 Speaker 2: we'll run. If it's not, we can deal with it 782 00:46:06,239 --> 00:46:06,960 Speaker 2: more rationally. 783 00:46:08,400 --> 00:46:08,720 Speaker 1: Yes. 784 00:46:08,840 --> 00:46:12,960 Speaker 2: So it's just like the old stoic philosophers used to say, 785 00:46:13,360 --> 00:46:16,560 Speaker 2: there's nothing wrong with emotions. It's natural to feel them. 786 00:46:16,600 --> 00:46:20,000 Speaker 2: You shouldn't feel guilty or ashamed for feeling those emotions, 787 00:46:20,360 --> 00:46:27,120 Speaker 2: but you are responsible for the behavior that was inspired 788 00:46:27,120 --> 00:46:29,759 Speaker 2: by those emotions, and you have time, you have a 789 00:46:29,800 --> 00:46:33,080 Speaker 2: space that you can put in there to evaluate the 790 00:46:33,120 --> 00:46:35,799 Speaker 2: emotion and see what the appropriate response is going to be. 791 00:46:36,920 --> 00:46:38,960 Speaker 1: Do you think this is a very personal question, but 792 00:46:39,160 --> 00:46:42,719 Speaker 1: do you think that you've gotten more courageous or more 793 00:46:42,800 --> 00:46:48,560 Speaker 1: fearful as you've gotten older, or or neither you kind 794 00:46:48,560 --> 00:46:49,319 Speaker 1: of status quo? 795 00:46:50,600 --> 00:46:54,319 Speaker 2: I think it probably depends a lot on the situation, right. 796 00:46:55,200 --> 00:46:58,440 Speaker 2: You know, there are some things that I think I'm 797 00:46:58,520 --> 00:47:03,320 Speaker 2: probably much more braver about, and then there's other things 798 00:47:03,320 --> 00:47:07,520 Speaker 2: that I'm still very cautious about. So so yeah, it 799 00:47:07,560 --> 00:47:10,279 Speaker 2: really depends on the nature of the specific situation. I 800 00:47:10,320 --> 00:47:10,759 Speaker 2: would see. 801 00:47:11,719 --> 00:47:15,719 Speaker 1: So I watched you on a video and you're on 802 00:47:16,760 --> 00:47:21,320 Speaker 1: You're on television, and you said, if you take intestinal 803 00:47:21,520 --> 00:47:25,480 Speaker 1: bacteria from a brave mouse and you put it in 804 00:47:25,520 --> 00:47:31,120 Speaker 1: a shy mouse, then the shy mouse becomes braver and 805 00:47:32,440 --> 00:47:35,080 Speaker 1: less fearful. I think something like. 806 00:47:35,080 --> 00:47:39,480 Speaker 2: One of it's one of my favorite experiments. I mean 807 00:47:40,320 --> 00:47:45,120 Speaker 2: what I mean, what what It's crazy, isn't it? 808 00:47:45,600 --> 00:47:49,520 Speaker 1: And is that? I mean? I know, can we could 809 00:47:49,560 --> 00:47:54,240 Speaker 1: we make a race of super soldiers just by transplanting 810 00:47:54,280 --> 00:47:57,240 Speaker 1: intestinal bacteria from great people. 811 00:47:58,600 --> 00:48:04,080 Speaker 2: I would I would, I would guess no, because in 812 00:48:04,760 --> 00:48:09,080 Speaker 2: these studies, and you describe the study quite well, you know, 813 00:48:09,360 --> 00:48:13,759 Speaker 2: mice have different personalities. Different strains of mice have different personalities. 814 00:48:13,800 --> 00:48:17,120 Speaker 2: Some are more timid and some take greater risks. And 815 00:48:17,280 --> 00:48:20,160 Speaker 2: just as you said, if you take the intestinal bacteria 816 00:48:20,600 --> 00:48:23,880 Speaker 2: from the brave mouse and put it into the cowardly mouse, 817 00:48:24,440 --> 00:48:27,960 Speaker 2: that cowardly mouse starts to become a little more brave. 818 00:48:28,719 --> 00:48:32,560 Speaker 2: And we see these types of behavioral changes almost every 819 00:48:32,719 --> 00:48:39,240 Speaker 2: time we do these sorts of intestinal microbiota transplant experiments. Okay, 820 00:48:39,640 --> 00:48:42,920 Speaker 2: here's one that has been done in humans, and this 821 00:48:42,960 --> 00:48:46,000 Speaker 2: one will blow your mind too. There are people who 822 00:48:46,400 --> 00:48:49,880 Speaker 2: have certain type of cancer and they're all treated with 823 00:48:49,920 --> 00:48:53,239 Speaker 2: the same type of chemotherapy. Some people respond to it, 824 00:48:53,320 --> 00:48:57,120 Speaker 2: some people don't. But if you take the bacteria from 825 00:48:57,200 --> 00:49:02,520 Speaker 2: the people who respond positively to the key chemotherapeutic treatment 826 00:49:02,920 --> 00:49:05,560 Speaker 2: put it into the patients that aren't responding to it, 827 00:49:06,080 --> 00:49:11,280 Speaker 2: those patients suddenly respond to the chemotherapy. Wow is crazy. 828 00:49:12,120 --> 00:49:16,719 Speaker 2: So what this is telling us is there's something that 829 00:49:16,840 --> 00:49:21,200 Speaker 2: the trillions of different bacteria in our guts are producing 830 00:49:21,280 --> 00:49:25,040 Speaker 2: a metabolite of some kind, you know, basically a chemical 831 00:49:25,080 --> 00:49:28,680 Speaker 2: at the end of the day that is bestowing upon us, 832 00:49:28,880 --> 00:49:32,319 Speaker 2: you know, this magical property that we previously didn't have. 833 00:49:32,960 --> 00:49:35,239 Speaker 2: And it can work in bad ways too. You know, 834 00:49:35,280 --> 00:49:39,800 Speaker 2: there's there's people who have undergone fecal transplantation to actually 835 00:49:39,920 --> 00:49:44,480 Speaker 2: treat a superinfection called sea diff. Okay, this is a 836 00:49:44,520 --> 00:49:49,560 Speaker 2: colitis infection that many people who are on prolonged antibiotics 837 00:49:49,640 --> 00:49:53,759 Speaker 2: suffer from, and this bacterial species called sea diff is 838 00:49:53,840 --> 00:49:58,439 Speaker 2: naturally resistant to most antibiotics. What has what can cure 839 00:49:58,560 --> 00:50:01,080 Speaker 2: ninety five percent of those cases is if you take 840 00:50:02,120 --> 00:50:05,560 Speaker 2: intestinal bacteria from a healthy person put it into that 841 00:50:05,640 --> 00:50:11,200 Speaker 2: person with the superinfection, superinfection has gone almost immediately. It's 842 00:50:11,440 --> 00:50:14,880 Speaker 2: crazy that it works so well. However, there is a catch. 843 00:50:15,800 --> 00:50:18,319 Speaker 2: The donors of this bacteria need to be screened very 844 00:50:18,320 --> 00:50:23,319 Speaker 2: carefully because they can also transmit pathogens with these intestinal bacteria. 845 00:50:23,680 --> 00:50:27,120 Speaker 2: And there's also a couple cases where allergies were transferred, 846 00:50:27,640 --> 00:50:31,759 Speaker 2: and I think at least one case where depression was transferred. So, 847 00:50:33,239 --> 00:50:36,520 Speaker 2: you know, it's a marvelous concept and I think it's 848 00:50:36,560 --> 00:50:39,920 Speaker 2: going to be a really big piece of the future 849 00:50:40,000 --> 00:50:42,359 Speaker 2: medical pie, if you will. I think this is going 850 00:50:42,440 --> 00:50:46,680 Speaker 2: to be a mainstream therapy, maybe forty fifty years down 851 00:50:46,680 --> 00:50:50,840 Speaker 2: the road, remodeling the microbiome, so to speak. But there 852 00:50:50,920 --> 00:50:53,799 Speaker 2: are some caveats that are pretty serious we need to 853 00:50:53,800 --> 00:50:56,279 Speaker 2: pay attention to if we're going to engage in this 854 00:50:56,360 --> 00:51:00,920 Speaker 2: sort of therapeutic. But yeah, it's pretty fat. You know. 855 00:51:00,960 --> 00:51:04,880 Speaker 2: Another thing that can make people take more risks is 856 00:51:04,920 --> 00:51:08,480 Speaker 2: that parasite that we've talked about before called toxoplasma GANDHII 857 00:51:08,840 --> 00:51:12,239 Speaker 2: that we study in my laboratory that has infected one. 858 00:51:13,680 --> 00:51:16,759 Speaker 2: That's the one from cats. No, you get it. You 859 00:51:16,800 --> 00:51:19,319 Speaker 2: get it from cat feces, not the urine. You can. 860 00:51:19,400 --> 00:51:23,200 Speaker 2: You can drink all the cat urine you want, but 861 00:51:23,360 --> 00:51:26,600 Speaker 2: it's the cat feces that that is dangerous. 862 00:51:26,880 --> 00:51:30,640 Speaker 1: So you just did our promo, Thanks for that. 863 00:51:33,320 --> 00:51:40,000 Speaker 2: Well, yeah, always happy to help. But yeah, the infected 864 00:51:40,000 --> 00:51:43,920 Speaker 2: cats can spread it through their stool, okay, But you 865 00:51:43,960 --> 00:51:48,640 Speaker 2: can also get it from raw under cooked meat, contaminated water, 866 00:51:48,680 --> 00:51:50,919 Speaker 2: and there's multiple ways to get it. But the point 867 00:51:50,960 --> 00:51:53,319 Speaker 2: I'm trying to make is that when you do get this, 868 00:51:53,400 --> 00:51:55,520 Speaker 2: you don't really get sick. But the parasite will live 869 00:51:55,560 --> 00:51:57,839 Speaker 2: in your brain for the rest of your life. And 870 00:51:57,920 --> 00:52:01,040 Speaker 2: there are some really compelling studies that correlate the presence 871 00:52:01,080 --> 00:52:04,160 Speaker 2: of that parasite in the brain to an increase in 872 00:52:04,280 --> 00:52:07,840 Speaker 2: risk taking activity. You know, you're more brave, you're more reckless. 873 00:52:09,239 --> 00:52:12,640 Speaker 2: So there's some really interesting things that are beyond genetics, 874 00:52:12,680 --> 00:52:15,279 Speaker 2: because there's a genetic component to risk taking behavior as 875 00:52:15,320 --> 00:52:19,000 Speaker 2: well that factor into the equation as to whether someone 876 00:52:19,120 --> 00:52:22,680 Speaker 2: is timid or risk taking. But what in the world 877 00:52:22,680 --> 00:52:26,360 Speaker 2: those bacteria are doing in that original experiment you described, 878 00:52:26,520 --> 00:52:29,240 Speaker 2: We have no idea at the moment, but it opens 879 00:52:29,239 --> 00:52:31,360 Speaker 2: the doors to some fascinating science. 880 00:52:33,560 --> 00:52:36,200 Speaker 1: Yeah, there's just so much we still I mean, there's 881 00:52:36,200 --> 00:52:38,000 Speaker 1: so much we know now that we didn't, but there's 882 00:52:38,000 --> 00:52:40,840 Speaker 1: still so much that we don't like. And it's interesting 883 00:52:40,920 --> 00:52:44,000 Speaker 1: when we know what the out or what a potential 884 00:52:45,120 --> 00:52:49,640 Speaker 1: outcome of some intervention or some treatment or whatever is, 885 00:52:49,680 --> 00:52:51,880 Speaker 1: but we don't know the mechanism and we know you 886 00:52:51,960 --> 00:52:53,879 Speaker 1: do this and this happens, but we don't know why. 887 00:52:54,560 --> 00:52:56,960 Speaker 1: It's the That's the bit we need to get right, 888 00:52:57,080 --> 00:52:57,560 Speaker 1: is the why. 889 00:52:58,360 --> 00:53:00,920 Speaker 2: But that's the great starting point, and that's why I 890 00:53:00,960 --> 00:53:04,160 Speaker 2: love working in science because there is no end to 891 00:53:04,239 --> 00:53:08,680 Speaker 2: the list of interesting observations that people have made, but 892 00:53:08,840 --> 00:53:11,880 Speaker 2: each one opens up a whole new can of worms, 893 00:53:11,920 --> 00:53:15,239 Speaker 2: a whole new you know, treasure trove of questions that 894 00:53:15,280 --> 00:53:19,240 Speaker 2: we can then go address. And that's what's so endlessly 895 00:53:19,320 --> 00:53:20,799 Speaker 2: fascinating about my job. 896 00:53:22,440 --> 00:53:27,239 Speaker 1: I know how many things have been discovered, you know. 897 00:53:27,360 --> 00:53:31,160 Speaker 1: Accidentally I was talking to on the show today. We're 898 00:53:31,200 --> 00:53:35,239 Speaker 1: recording this on the twenty third, which is Monday. I'm 899 00:53:35,280 --> 00:53:39,640 Speaker 1: just blanking. What's it called? What's that I'm blanking? What's 900 00:53:39,680 --> 00:53:42,120 Speaker 1: the erectile dysfunction drug called? 901 00:53:42,840 --> 00:53:43,680 Speaker 2: Oh? Viagra? 902 00:53:44,000 --> 00:53:48,680 Speaker 1: Yeah, viagra? Sorry. I was talking to Alex. Doctor Alex, 903 00:53:48,719 --> 00:53:51,360 Speaker 1: who's a neurosurgeon, a friend of mine. He comes on 904 00:53:51,400 --> 00:53:53,840 Speaker 1: the show. You two would have a great We should 905 00:53:53,880 --> 00:53:57,719 Speaker 1: both get you on one day. But oh, he's great. 906 00:53:57,840 --> 00:53:58,279 Speaker 1: He's great. 907 00:53:58,320 --> 00:54:00,560 Speaker 2: I love to pick the brain of a neuros scientists. 908 00:54:03,040 --> 00:54:06,080 Speaker 1: I say, what you did there, We'll put a whip 909 00:54:06,160 --> 00:54:11,000 Speaker 1: cracking sound in there. But we were talking about how 910 00:54:11,280 --> 00:54:14,880 Speaker 1: I mean that, like biographer example, was developed as I 911 00:54:14,920 --> 00:54:19,040 Speaker 1: think a blood treasure pressure treatment or something similar, and 912 00:54:19,080 --> 00:54:23,680 Speaker 1: it just had this weird byproduct that pharmaceutical companies went, hey, 913 00:54:23,760 --> 00:54:25,880 Speaker 1: look what we did we just cured one of the 914 00:54:25,920 --> 00:54:29,200 Speaker 1: greatest man problems of old time? Or not? Really right? 915 00:54:30,280 --> 00:54:33,760 Speaker 2: No, you're exactly right. It was a blood pressure medication. 916 00:54:33,880 --> 00:54:36,399 Speaker 2: That was what it was designed to do. But as 917 00:54:36,400 --> 00:54:41,200 Speaker 2: they started putting it into clinical trials, men started exhibiting 918 00:54:41,200 --> 00:54:44,480 Speaker 2: this peculiar side effect of erections that would just appear 919 00:54:44,520 --> 00:54:48,400 Speaker 2: spontaneously and wouldn't go away. And they started reporting these 920 00:54:48,440 --> 00:54:51,960 Speaker 2: to the nurses that were taking care of them, and 921 00:54:52,000 --> 00:54:54,759 Speaker 2: that obviously got back to phiser people, and I'm sure 922 00:54:54,800 --> 00:54:57,400 Speaker 2: that people who were interested in high blood pressure were 923 00:54:57,760 --> 00:55:03,399 Speaker 2: really disappointed. So geniuses in marketing or whatever department were 924 00:55:03,440 --> 00:55:09,280 Speaker 2: like talk about, you know, taking lemons and making lemonade. 925 00:55:09,440 --> 00:55:16,320 Speaker 2: My god, they turned into a blockbuster drug. They invented this, 926 00:55:16,320 --> 00:55:20,560 Speaker 2: this syndrome that didn't even have a name in order 927 00:55:20,640 --> 00:55:23,520 Speaker 2: to sell this pill that was going to go into 928 00:55:23,560 --> 00:55:26,080 Speaker 2: the trash can because it was not doing what it 929 00:55:26,160 --> 00:55:30,200 Speaker 2: was intended to do. Yeah. Wow, they ran away with 930 00:55:30,239 --> 00:55:31,000 Speaker 2: that side effect. 931 00:55:31,040 --> 00:55:31,279 Speaker 1: It was. 932 00:55:31,960 --> 00:55:32,880 Speaker 2: It's quite a story. 933 00:55:33,520 --> 00:55:36,160 Speaker 1: And think about the potential, Like if it was efficient 934 00:55:36,280 --> 00:55:40,600 Speaker 1: as a blood pressure treatment, they might have made one X, 935 00:55:40,960 --> 00:55:46,240 Speaker 1: but with Viagra that made a thousand X, so probably 936 00:55:46,239 --> 00:55:50,000 Speaker 1: a million X. You know, in terms of that. Yeah, exactly, 937 00:55:50,160 --> 00:55:52,719 Speaker 1: lemons to lemonade a couple of quick questions. Have you 938 00:55:52,800 --> 00:55:54,200 Speaker 1: got a little bit or have you got to go? 939 00:55:55,080 --> 00:55:56,640 Speaker 2: No, I'm good, this is fun. 940 00:55:56,680 --> 00:56:00,279 Speaker 1: So one of the realities of living in Australia. Well, 941 00:56:00,320 --> 00:56:02,600 Speaker 1: this is my version. I've been here for a while now. 942 00:56:03,960 --> 00:56:07,920 Speaker 1: Is that not all? But and maybe it's changing a 943 00:56:07,960 --> 00:56:11,920 Speaker 1: little bit, but a lot of doctors hand out antibiotics 944 00:56:12,080 --> 00:56:13,720 Speaker 1: like lollies. 945 00:56:13,840 --> 00:56:15,799 Speaker 2: Right, that's too bad. 946 00:56:16,719 --> 00:56:20,239 Speaker 1: This is not a good I'm not proud to say this, 947 00:56:20,360 --> 00:56:25,200 Speaker 1: but I reckon I've been on antibiotics at least twenty 948 00:56:25,239 --> 00:56:27,279 Speaker 1: times in my life, right, which is not I know 949 00:56:27,360 --> 00:56:28,279 Speaker 1: that's not a great thing. 950 00:56:28,640 --> 00:56:32,000 Speaker 2: Well, that might not necessarily be a bad thing. Antibiotics 951 00:56:32,000 --> 00:56:34,600 Speaker 2: are not evil per se, and sometimes they're life saving, 952 00:56:35,120 --> 00:56:38,319 Speaker 2: but there is a tendency in Western civilization to over 953 00:56:38,360 --> 00:56:39,120 Speaker 2: prescribe them. 954 00:56:39,560 --> 00:56:42,520 Speaker 1: Yeah, I feel that. So that's my point is just 955 00:56:43,239 --> 00:56:45,799 Speaker 1: I don't I'm not asking a specific question, but I'd 956 00:56:45,840 --> 00:56:49,160 Speaker 1: love you just to riff on antibiotics and give us 957 00:56:49,200 --> 00:56:53,040 Speaker 1: like a bit of your thoughts on antibiotics. And yes, 958 00:56:53,080 --> 00:56:57,160 Speaker 1: of course they obviously serve a very legitimate medical purpose. 959 00:56:57,280 --> 00:57:00,880 Speaker 1: We know that, but in general, have a chat for 960 00:57:00,960 --> 00:57:02,000 Speaker 1: us about that, if you would. 961 00:57:02,719 --> 00:57:06,399 Speaker 2: Yeah, yeah. I lecture on this to medical students every year. 962 00:57:06,760 --> 00:57:09,600 Speaker 2: Antibiotics are some of the most precious drugs that have 963 00:57:09,719 --> 00:57:12,799 Speaker 2: ever been developed. In fact, the first, well the one 964 00:57:12,800 --> 00:57:16,360 Speaker 2: that most people ascribed to be the first, was penicillin, 965 00:57:16,680 --> 00:57:19,360 Speaker 2: and it was literally called the miracle drug because it 966 00:57:19,440 --> 00:57:24,600 Speaker 2: was saving people from fatal infections that we never had 967 00:57:24,680 --> 00:57:29,160 Speaker 2: cure for before. These were truly miraculous treatments, and it's 968 00:57:29,160 --> 00:57:32,160 Speaker 2: even been suggested that the advent of penicillin helped the 969 00:57:32,160 --> 00:57:35,480 Speaker 2: Allies win World War Two. It was that important in 970 00:57:35,560 --> 00:57:38,880 Speaker 2: order to save soldiers on the battlefield and soldiers from 971 00:57:40,280 --> 00:57:43,000 Speaker 2: suffering from gangreen so they could get back on the 972 00:57:43,560 --> 00:57:47,120 Speaker 2: not gangreen, gonorrhea. Actually they were suffering from gonorrhea. They 973 00:57:47,160 --> 00:57:48,600 Speaker 2: wanted to clear that up so they can get them 974 00:57:48,640 --> 00:57:53,880 Speaker 2: back onto the battlefield. But anyway, these are precious, precious drugs. 975 00:57:54,000 --> 00:57:57,920 Speaker 2: But as Alexander Fleming, who discovered penicillin, suggested during his 976 00:57:57,960 --> 00:58:00,600 Speaker 2: Nobel Prize speech, if we're not careful with these drugs, 977 00:58:01,440 --> 00:58:04,680 Speaker 2: the bacteria are going to evolve resistance to them, and 978 00:58:04,880 --> 00:58:08,040 Speaker 2: boy was he right. Within five years of penicillin being 979 00:58:08,080 --> 00:58:12,080 Speaker 2: on the market, we started seeing widespread resistance to that antibiotic, 980 00:58:12,320 --> 00:58:16,280 Speaker 2: and that's a very scary thing. So antibiotic research exploded 981 00:58:16,600 --> 00:58:20,080 Speaker 2: in the subsequent decades up until about the seventies, and 982 00:58:20,080 --> 00:58:23,120 Speaker 2: then it started to taper off. And as a consequence, 983 00:58:23,160 --> 00:58:26,560 Speaker 2: we had dozens and dozens of wonderful antibiotics that we 984 00:58:26,600 --> 00:58:30,720 Speaker 2: could give patients and in many cases they cured their 985 00:58:30,760 --> 00:58:33,600 Speaker 2: infection and in some cases it saved their lives. These 986 00:58:33,640 --> 00:58:37,640 Speaker 2: are literally life saving drugs. So what's the problem if 987 00:58:37,640 --> 00:58:40,479 Speaker 2: he over prescribed them. If we give them when they're 988 00:58:40,480 --> 00:58:45,360 Speaker 2: not needed, a couple bad things happen. First of all, 989 00:58:45,520 --> 00:58:49,880 Speaker 2: we create environments where bacteria can evolve resistance. Okay, the 990 00:58:50,000 --> 00:58:53,280 Speaker 2: more often we use a drug, the higher the probability 991 00:58:53,360 --> 00:58:56,360 Speaker 2: that the germ is going to develop resistance. And if 992 00:58:56,360 --> 00:59:01,840 Speaker 2: it develops resistance to a series of antibiotics, we can 993 00:59:01,960 --> 00:59:05,880 Speaker 2: literally run out of drugs to treat that pathogen. There 994 00:59:05,920 --> 00:59:08,240 Speaker 2: will be nothing left in the medicine cabinet to get 995 00:59:08,320 --> 00:59:11,240 Speaker 2: rid of that infection. So this leads to what's called 996 00:59:11,280 --> 00:59:15,200 Speaker 2: the so called superbugs that are resistant to multiple antibiotics. 997 00:59:15,280 --> 00:59:18,600 Speaker 2: That's a big problem. Right now. Sixty five thousand people 998 00:59:18,680 --> 00:59:22,040 Speaker 2: die in the United States each year from these superinfections 999 00:59:22,080 --> 00:59:25,240 Speaker 2: because doctors can only shrug their shoulders and say, we 1000 00:59:25,320 --> 00:59:28,800 Speaker 2: have no antibiotics left that will treat this infection. It's 1001 00:59:28,840 --> 00:59:33,960 Speaker 2: resistant to all of them, and unfortunately, pharmaceutical companies are 1002 00:59:33,960 --> 00:59:39,200 Speaker 2: not investing in new antibiotic research right now. So that's 1003 00:59:39,240 --> 00:59:41,360 Speaker 2: a whole other can of worms we can talk about later, 1004 00:59:41,400 --> 00:59:45,000 Speaker 2: but anti microbial resistance is one of the number one 1005 00:59:45,080 --> 00:59:47,200 Speaker 2: things we want to be aware of when we give 1006 00:59:47,280 --> 00:59:51,800 Speaker 2: antibiotics to people. The second problem relates to the microbiome 1007 00:59:51,840 --> 00:59:57,400 Speaker 2: that we talked about before, so there's been some suggestive studies. 1008 00:59:57,480 --> 01:00:00,400 Speaker 2: I don't want to say that this is decided science, 1009 01:00:00,440 --> 01:00:05,600 Speaker 2: but if we give antibiotics to infants and young children 1010 01:00:05,960 --> 01:00:11,600 Speaker 2: for prolonged periods of time, that disturbs their microbial environment 1011 01:00:11,680 --> 01:00:14,600 Speaker 2: in their gut, and this can lead to negative health 1012 01:00:14,640 --> 01:00:17,480 Speaker 2: consequences as they grow up. It's been linked to things 1013 01:00:17,560 --> 01:00:26,680 Speaker 2: like allergy, social behavior problems, inflammation, and things like that. 1014 01:00:27,280 --> 01:00:31,160 Speaker 2: So giving antibiotics, especially at a young age, can be 1015 01:00:31,240 --> 01:00:33,600 Speaker 2: life saving, but you want to make sure there are 1016 01:00:33,600 --> 01:00:35,880 Speaker 2: as short term as possible and that you're not giving 1017 01:00:35,880 --> 01:00:38,000 Speaker 2: them for a long time, just in case there are 1018 01:00:38,040 --> 01:00:42,600 Speaker 2: some long term effects associated with damage that the microbiotic receive. 1019 01:00:43,480 --> 01:00:46,680 Speaker 2: This can happen in adults too. I already mentioned earlier. 1020 01:00:46,760 --> 01:00:50,280 Speaker 2: People who are on prolonged antibiotics are more susceptible to 1021 01:00:50,800 --> 01:00:55,720 Speaker 2: see diff infections, and that's naturally resistant to antibiotics, and 1022 01:00:55,880 --> 01:00:58,680 Speaker 2: it takes some really drastic measures in order to treat 1023 01:00:58,720 --> 01:01:04,360 Speaker 2: this horrible infection. So those are some of the main 1024 01:01:04,480 --> 01:01:07,720 Speaker 2: reasons why we are a little more leery about giving 1025 01:01:07,760 --> 01:01:12,320 Speaker 2: antibiotics out liberally. They're life saving medicines, but we want 1026 01:01:12,360 --> 01:01:17,120 Speaker 2: to use them only when necessary. Antibiotics do nothing against 1027 01:01:17,200 --> 01:01:20,360 Speaker 2: viral infections, for example, So if you go to your 1028 01:01:20,440 --> 01:01:25,040 Speaker 2: doctor with your sneezing and sniffling and they don't know 1029 01:01:25,080 --> 01:01:29,120 Speaker 2: if it's a virus or a bacterial infection, antibiotics should 1030 01:01:29,200 --> 01:01:32,400 Speaker 2: not be given, Okay, it should. They should only be 1031 01:01:32,480 --> 01:01:36,040 Speaker 2: given if there's a high probability that the illness is 1032 01:01:36,280 --> 01:01:39,280 Speaker 2: in fact caused by a bacteria, Because if it's caused 1033 01:01:39,320 --> 01:01:42,440 Speaker 2: by a virus, those antibiotics are not going to do anything. 1034 01:01:43,480 --> 01:01:46,920 Speaker 1: Wow, and we're just putting something in our body that 1035 01:01:46,920 --> 01:01:47,840 Speaker 1: that our body. 1036 01:01:47,560 --> 01:01:51,560 Speaker 2: Doesn't Yeah, you're taking it unnecessarily and what goes into 1037 01:01:51,600 --> 01:01:54,720 Speaker 2: our body. Craig also goes into the sewer system, it 1038 01:01:54,760 --> 01:01:57,200 Speaker 2: goes into the waste which gets out into the environment. 1039 01:01:57,640 --> 01:02:01,840 Speaker 2: So a scientists have sampled many places around the environment, 1040 01:02:01,880 --> 01:02:05,200 Speaker 2: at least in the United States, and antibiotics, the ones 1041 01:02:05,240 --> 01:02:08,720 Speaker 2: that we make as human beings, are out there everywhere. 1042 01:02:09,120 --> 01:02:11,680 Speaker 2: And that's a really sad thing to see because if 1043 01:02:11,680 --> 01:02:14,720 Speaker 2: the antibiotics are out there in the environment, then there 1044 01:02:14,760 --> 01:02:18,080 Speaker 2: are germs out there that are resistant to those antibiotics, 1045 01:02:18,360 --> 01:02:20,920 Speaker 2: and then then when they start to infect animals and humans, 1046 01:02:20,920 --> 01:02:22,640 Speaker 2: we have a major problem on our hands. 1047 01:02:23,040 --> 01:02:27,840 Speaker 1: Wow. Hey, one of the things that I've spoken about 1048 01:02:27,920 --> 01:02:31,040 Speaker 1: on this show, not with you, but with another regular guest. 1049 01:02:31,120 --> 01:02:34,880 Speaker 1: We have who's an Australian author and researcher, David Gillespie, 1050 01:02:34,920 --> 01:02:37,000 Speaker 1: who's a gun. He's written a book, a bunch of books, 1051 01:02:37,000 --> 01:02:42,360 Speaker 1: but he's obsessed with sociopathy, right, with sociopaths. And I 1052 01:02:42,400 --> 01:02:44,120 Speaker 1: wanted to ask you and this. 1053 01:02:44,440 --> 01:02:47,840 Speaker 2: He should come over here and comment on our election. 1054 01:02:48,600 --> 01:02:54,560 Speaker 1: Oh he's he's a genius, but he talks about toxic 1055 01:02:54,640 --> 01:02:57,040 Speaker 1: box bosses and a whole lot of stuff. But anyway, 1056 01:02:57,480 --> 01:02:59,840 Speaker 1: so if one end of that kind of spectrum, we've 1057 01:02:59,840 --> 01:03:07,440 Speaker 1: got sociopaths, psychopaths and At the other end of that scale, 1058 01:03:07,480 --> 01:03:12,400 Speaker 1: we've got, you know, compassion, people who are predisposed to 1059 01:03:12,440 --> 01:03:16,800 Speaker 1: being very kind, very compassionate. Do you think that Do 1060 01:03:16,840 --> 01:03:20,440 Speaker 1: you think that there's a genetic component to compassion and 1061 01:03:21,360 --> 01:03:24,800 Speaker 1: what we might broadly call morality and all that kind 1062 01:03:24,840 --> 01:03:27,720 Speaker 1: of stuff. Is that how moral someone is. Do you 1063 01:03:27,760 --> 01:03:31,000 Speaker 1: think that's more about whatever morality means or ethics, or 1064 01:03:31,520 --> 01:03:34,320 Speaker 1: do you think that's more about environment and upbringing or 1065 01:03:34,360 --> 01:03:35,960 Speaker 1: is there a genetic component to that? 1066 01:03:36,120 --> 01:03:40,280 Speaker 2: Also, I don't think it's in either. Org there's clearly 1067 01:03:40,320 --> 01:03:44,200 Speaker 2: genes that have been implicated in aggressive and violent behavior. Okay, 1068 01:03:44,240 --> 01:03:48,200 Speaker 2: this has been shown pretty convincingly in mouse models and 1069 01:03:48,400 --> 01:03:51,240 Speaker 2: in some human families where aggression seems to be hereditary. 1070 01:03:51,280 --> 01:03:54,200 Speaker 2: Think like the generations of psychopaths that are born in 1071 01:03:54,240 --> 01:03:57,600 Speaker 2: certain family lineages that can be traced to genetic defects. 1072 01:03:57,840 --> 01:04:01,439 Speaker 2: But what those genetic defects really mean is that there 1073 01:04:01,520 --> 01:04:03,760 Speaker 2: is a change in the brain structure or the brain 1074 01:04:03,840 --> 01:04:08,520 Speaker 2: chemistry in these individuals that make them abnormal. Okay, but 1075 01:04:08,560 --> 01:04:11,560 Speaker 2: there's many, many other reasons that people can snap and 1076 01:04:11,600 --> 01:04:15,000 Speaker 2: go psychopathic, which include any sort of damage to the 1077 01:04:15,000 --> 01:04:19,640 Speaker 2: brain which can be brought upon by infection, trauma like concussions, 1078 01:04:21,600 --> 01:04:24,640 Speaker 2: old age can do it. You know, dementia can sometimes 1079 01:04:24,640 --> 01:04:27,760 Speaker 2: make people violent. There's a whole host of things that 1080 01:04:27,760 --> 01:04:30,040 Speaker 2: can happen to the brain that have nothing to do 1081 01:04:30,080 --> 01:04:33,080 Speaker 2: with genetics, because the brain was perfectly fine before it 1082 01:04:33,120 --> 01:04:40,400 Speaker 2: got injured in some way and then it produced psychopathic behavior. So, 1083 01:04:41,160 --> 01:04:42,760 Speaker 2: and that's not to say that the environment is not 1084 01:04:42,800 --> 01:04:46,680 Speaker 2: important at all, Craig. There's the phenomenon of epigenetics, and 1085 01:04:46,720 --> 01:04:51,200 Speaker 2: it's been shown very clearly that children who are exposed 1086 01:04:51,200 --> 01:04:55,640 Speaker 2: to adverse childhood experiences or aces as they're known in psychology, 1087 01:04:56,360 --> 01:04:59,680 Speaker 2: have a propensity not always, but they have a propensity 1088 01:05:00,120 --> 01:05:05,120 Speaker 2: grow up with behavioral problems, you know, antisocial behaviors, sometimes 1089 01:05:05,200 --> 01:05:09,320 Speaker 2: violent and aggression. And this has been linked to epigenetic 1090 01:05:09,440 --> 01:05:12,919 Speaker 2: changes that happen because of the environment they grew up in. 1091 01:05:13,400 --> 01:05:18,760 Speaker 2: These adverse childhood experiences can modify the gene activity of 1092 01:05:19,280 --> 01:05:23,720 Speaker 2: the genes that are responsible for managing stress, and they, 1093 01:05:23,760 --> 01:05:29,400 Speaker 2: as a consequence, have lifelong problems managing stressful situations, and 1094 01:05:29,440 --> 01:05:32,800 Speaker 2: this can lead to anxiety and even violence later on 1095 01:05:32,840 --> 01:05:38,080 Speaker 2: in life. Yeah, I go again, many different variables in 1096 01:05:38,120 --> 01:05:38,760 Speaker 2: the equation. 1097 01:05:39,480 --> 01:05:42,440 Speaker 1: Yes, yes, yes, it just seems like I meete a 1098 01:05:42,440 --> 01:05:45,080 Speaker 1: lot of people who it's like I met. The reason 1099 01:05:45,120 --> 01:05:47,680 Speaker 1: I asked that was I was talking to a mum 1100 01:05:47,960 --> 01:05:51,040 Speaker 1: and her daughter the other day, and they're both like 1101 01:05:51,640 --> 01:05:55,480 Speaker 1: the nicest people, like just genuinely loving, kind, compassionate. They 1102 01:05:55,520 --> 01:05:58,280 Speaker 1: do all this work and they just don't want anything. 1103 01:05:58,320 --> 01:06:01,560 Speaker 1: And I'm like, if I wonder if the daughters like 1104 01:06:01,600 --> 01:06:04,000 Speaker 1: the mum because she grew up in that kind of energy, 1105 01:06:04,000 --> 01:06:07,240 Speaker 1: in that environment and that mindset, or there's a genetic 1106 01:06:07,360 --> 01:06:08,240 Speaker 1: component to that. 1107 01:06:08,400 --> 01:06:11,840 Speaker 2: But you know, we should do we will take the 1108 01:06:12,280 --> 01:06:16,120 Speaker 2: We should take the intestinal bacteria of hippies and put 1109 01:06:16,160 --> 01:06:19,720 Speaker 2: it into a violent criminal and see if that doesn't 1110 01:06:19,800 --> 01:06:20,760 Speaker 2: change their behavior. 1111 01:06:24,280 --> 01:06:26,560 Speaker 1: Well, if any of you hippies who listened to this, 1112 01:06:26,600 --> 01:06:29,120 Speaker 1: and any of you violent also listened to this, want 1113 01:06:29,120 --> 01:06:32,960 Speaker 1: to be involved in doctor Bill's study, so I want 1114 01:06:32,960 --> 01:06:35,920 Speaker 1: to read you something. The symptoms of the proposed type 1115 01:06:35,960 --> 01:06:42,200 Speaker 1: three diabetes condition may include symptoms of dementia, such as 1116 01:06:42,360 --> 01:06:47,960 Speaker 1: seen in early Alzheimer's disease. According to the Alzheimer's Disease Association, 1117 01:06:48,920 --> 01:06:52,520 Speaker 1: these symptoms include memory lost, blah blah blah. So this 1118 01:06:52,520 --> 01:06:56,360 Speaker 1: this this term type three diabetes. Have you heard of 1119 01:06:56,360 --> 01:06:59,640 Speaker 1: that Is that a thing or is that just is 1120 01:06:59,640 --> 01:07:00,680 Speaker 1: that just bullshit? 1121 01:07:02,800 --> 01:07:04,959 Speaker 2: To be honest, I've never heard it before. It could 1122 01:07:04,960 --> 01:07:07,400 Speaker 2: be a thing. I'm only familiar with Tape one and two. 1123 01:07:08,160 --> 01:07:11,480 Speaker 1: Yeah, me too, And I don't know that it's Yeah, 1124 01:07:11,520 --> 01:07:15,080 Speaker 1: there's just that they're talking about. I heard somebody the 1125 01:07:15,120 --> 01:07:19,000 Speaker 1: other day, and I don't think this is solid science, 1126 01:07:19,040 --> 01:07:24,200 Speaker 1: but they were talking about how essentially dementia is an 1127 01:07:24,240 --> 01:07:28,560 Speaker 1: expression of or a consequence of type three diabetes. Anyway, 1128 01:07:29,440 --> 01:07:31,880 Speaker 1: I'll do some more research, maybe you'll have a reason. 1129 01:07:31,960 --> 01:07:34,160 Speaker 1: We might talk about it next time. My last question 1130 01:07:34,240 --> 01:07:41,160 Speaker 1: for you is this, are some people more genetically inclined 1131 01:07:42,280 --> 01:07:47,280 Speaker 1: to enjoy exercise. I've spoken a lot of people over 1132 01:07:47,280 --> 01:07:49,200 Speaker 1: the years who go, it's just not my thing. I 1133 01:07:49,280 --> 01:07:52,000 Speaker 1: just don't enjoy it. I hate it. And I wonder 1134 01:07:52,000 --> 01:07:56,600 Speaker 1: if that's again, if that's truly just who they are genetically, 1135 01:07:56,640 --> 01:08:00,560 Speaker 1: that's just that's just part of them, or if that's 1136 01:08:00,640 --> 01:08:02,520 Speaker 1: just because I grew up in a family where that 1137 01:08:02,640 --> 01:08:04,160 Speaker 1: wasn't encouraged or supported. 1138 01:08:06,160 --> 01:08:09,200 Speaker 2: I think it's completely possible that there could be a 1139 01:08:09,280 --> 01:08:14,240 Speaker 2: genetic component to someone's inclination to exercise or not. But 1140 01:08:14,320 --> 01:08:16,719 Speaker 2: I think what's more likely is there's probably a genetic 1141 01:08:16,760 --> 01:08:19,720 Speaker 2: component into the type of exercise that someone might want 1142 01:08:19,760 --> 01:08:24,000 Speaker 2: to enjoy. I mean, there's the best study that I 1143 01:08:24,040 --> 01:08:27,880 Speaker 2: can think of within this realm would be like the 1144 01:08:28,479 --> 01:08:32,439 Speaker 2: genes that govern fast twitching of muscles, and it governs 1145 01:08:32,439 --> 01:08:35,400 Speaker 2: the recovery time of muscles. And basically, if you have 1146 01:08:35,479 --> 01:08:39,520 Speaker 2: one variation of this gene, you're really good at distance 1147 01:08:39,840 --> 01:08:43,360 Speaker 2: or marathon or endurance type sports, but you're really crappy 1148 01:08:43,600 --> 01:08:46,519 Speaker 2: at those that require a real sudden burst of energy. 1149 01:08:47,120 --> 01:08:50,400 Speaker 2: The other genetic variants the opposite. The other variant says 1150 01:08:50,400 --> 01:08:53,519 Speaker 2: you're really good at short bursts of activity, You're a 1151 01:08:53,560 --> 01:08:59,160 Speaker 2: great sprinter. You know, you have better abilities with returned 1152 01:08:59,479 --> 01:09:03,200 Speaker 2: in terms of strength. That genetic variation is one of 1153 01:09:03,200 --> 01:09:06,200 Speaker 2: the clearest cut that I've seen. But that really doesn't 1154 01:09:06,240 --> 01:09:10,200 Speaker 2: get to the heart of motivating people to exercise. And 1155 01:09:10,240 --> 01:09:13,080 Speaker 2: I think what is happening there is that some people 1156 01:09:13,120 --> 01:09:15,439 Speaker 2: might want to fall back on genetics as an excuse, 1157 01:09:15,479 --> 01:09:18,880 Speaker 2: and that's the last thing we want anyone to do. 1158 01:09:20,160 --> 01:09:22,400 Speaker 2: People need to keep in mind is that exercise can 1159 01:09:22,439 --> 01:09:25,840 Speaker 2: be fun. I mean, it can be. If you enjoy running, 1160 01:09:25,880 --> 01:09:29,120 Speaker 2: get out there and run or walk. If not, try swimming. 1161 01:09:29,479 --> 01:09:33,080 Speaker 2: If not, try playing basketball or football. You know there's 1162 01:09:33,160 --> 01:09:35,599 Speaker 2: something out there that you're going to enjoy that will 1163 01:09:35,640 --> 01:09:38,720 Speaker 2: give you the exercise that you need. And I know 1164 01:09:39,080 --> 01:09:41,720 Speaker 2: very few people who just can't go walk around the 1165 01:09:41,760 --> 01:09:44,200 Speaker 2: block a few times, and you can do lots of 1166 01:09:44,240 --> 01:09:46,519 Speaker 2: things while you do that. You can listen to the 1167 01:09:46,680 --> 01:09:51,320 Speaker 2: U Project podcast during this walk, and what better way 1168 01:09:51,360 --> 01:09:54,880 Speaker 2: to exercise and entertain yourself at the same time. And 1169 01:09:54,960 --> 01:09:58,040 Speaker 2: if you're not a fan, and that's the new promo, 1170 01:09:58,160 --> 01:10:01,200 Speaker 2: but if you're not a fan of Craig Harper, first 1171 01:10:01,880 --> 01:10:05,760 Speaker 2: why uh? And then second, turn on a different podcast, 1172 01:10:05,840 --> 01:10:08,679 Speaker 2: or listen to a book or some music, whatever, float 1173 01:10:08,720 --> 01:10:12,240 Speaker 2: your boat, do whatever it takes. Find a regiment that 1174 01:10:12,280 --> 01:10:14,559 Speaker 2: works for you that's going to allow you to get 1175 01:10:14,560 --> 01:10:18,799 Speaker 2: in the exercise you need. It's really important underdersent. 1176 01:10:18,920 --> 01:10:21,559 Speaker 1: We'll finish with this as we as the world is 1177 01:10:21,600 --> 01:10:25,280 Speaker 1: watching on it. The fucking shit show that is the 1178 01:10:25,400 --> 01:10:29,879 Speaker 1: upcoming election. What are your thoughts. 1179 01:10:30,479 --> 01:10:33,639 Speaker 2: Who's gonna win? Who's going to wing our election? Yeah? 1180 01:10:33,680 --> 01:10:37,960 Speaker 2: I think it's our election forty less than forty five 1181 01:10:38,040 --> 01:10:38,719 Speaker 2: days away? 1182 01:10:39,200 --> 01:10:41,479 Speaker 1: What is it November five or is that it? 1183 01:10:42,240 --> 01:10:45,639 Speaker 2: Yeah? So it's coming up in early November and all 1184 01:10:45,680 --> 01:10:48,880 Speaker 2: of this will be said and done, you know, a 1185 01:10:48,920 --> 01:10:51,679 Speaker 2: day or two after that, so we'll see what happens. 1186 01:10:52,120 --> 01:10:52,800 Speaker 1: Who's going to win. 1187 01:10:53,000 --> 01:10:58,320 Speaker 2: Really, it's a really interesting cycle. Oh that kind of prediction. 1188 01:10:59,840 --> 01:11:02,599 Speaker 2: I'm really hoping for Harris to tell you the truth. 1189 01:11:04,240 --> 01:11:08,559 Speaker 2: If it is Trump, I fear not just for the 1190 01:11:08,600 --> 01:11:09,759 Speaker 2: States but for the world. 1191 01:11:10,680 --> 01:11:18,519 Speaker 1: Yeah. Wow, it's it's it's it's entertaining and terrifying to 1192 01:11:18,600 --> 01:11:22,840 Speaker 1: look on from afar, but anyway, it's probably more terrifying 1193 01:11:22,880 --> 01:11:24,759 Speaker 1: to be in the middle of it over there. 1194 01:11:24,880 --> 01:11:30,240 Speaker 2: Well, what surprises me is that roughly half this country 1195 01:11:30,800 --> 01:11:35,400 Speaker 2: is perfectly fine with a convicted felon running for office. 1196 01:11:36,640 --> 01:11:39,439 Speaker 2: That's just unfathomable to me. I just can't get over that. 1197 01:11:41,479 --> 01:11:46,519 Speaker 1: Yeah, it's almost like that's almost like he's superpower is 1198 01:11:46,520 --> 01:11:47,560 Speaker 1: that he doesn't. 1199 01:11:48,520 --> 01:11:51,880 Speaker 2: He's teflon man, He's teflon. Everything bounces off of it. 1200 01:11:52,000 --> 01:11:56,439 Speaker 2: It just slides off. People just create excuses for this guy. 1201 01:11:56,880 --> 01:12:01,280 Speaker 2: He can't formulate a complete sentence, and then people are saying, well, 1202 01:12:01,280 --> 01:12:04,920 Speaker 2: that's part of his genius, Like, no, that's that's dementia 1203 01:12:05,000 --> 01:12:05,759 Speaker 2: talking dude. 1204 01:12:06,640 --> 01:12:10,720 Speaker 1: Yes, yes, Wow, it's just crazy. 1205 01:12:10,800 --> 01:12:14,640 Speaker 2: The twisted knots that people are putting themselves in so 1206 01:12:14,680 --> 01:12:20,160 Speaker 2: they can make excuses for this guy. It's unbelievable to me. 1207 01:12:21,000 --> 01:12:25,040 Speaker 1: Conformation biased doc work like we just we live in 1208 01:12:25,040 --> 01:12:28,280 Speaker 1: the echo chamber. Don't let the facts get in the way. 1209 01:12:28,520 --> 01:12:32,080 Speaker 1: Doctor Bill Sullivan is the author, pleased to meet me, jeans, germs, 1210 01:12:32,120 --> 01:12:34,120 Speaker 1: and the curious forces that make us who we are. 1211 01:12:34,439 --> 01:12:38,519 Speaker 1: Do you want to point our audience in any other direction? Doc? 1212 01:12:39,040 --> 01:12:42,040 Speaker 2: Is there anything else? If people want to learn more 1213 01:12:42,040 --> 01:12:44,720 Speaker 2: about the book, or follow up on some of the 1214 01:12:44,760 --> 01:12:47,800 Speaker 2: writings that I've done, or other appearances on the You 1215 01:12:48,000 --> 01:12:50,840 Speaker 2: Project and other podcasts, they can go to my website, 1216 01:12:51,160 --> 01:12:54,320 Speaker 2: Author Bill Sullivan dot com. There's also a mailing list 1217 01:12:54,360 --> 01:12:57,080 Speaker 2: option you can sign up for if you want to 1218 01:12:57,120 --> 01:12:57,760 Speaker 2: sign up for that. 1219 01:12:58,680 --> 01:13:00,479 Speaker 1: I think it's time for a new book, bro, I 1220 01:13:00,520 --> 01:13:04,160 Speaker 1: think it's five years. I think you're getting a little tardier. 1221 01:13:04,200 --> 01:13:06,800 Speaker 1: I think you better just get a hurry along. 1222 01:13:07,479 --> 01:13:09,639 Speaker 2: I'm still getting some good mileage out of this one, 1223 01:13:09,720 --> 01:13:14,320 Speaker 2: so I don't want to equipse that. Okay, but hey, 1224 01:13:14,800 --> 01:13:18,840 Speaker 2: you know, tell the major publishers to come knock on 1225 01:13:18,840 --> 01:13:20,479 Speaker 2: my door and we'll see what we can do. 1226 01:13:21,040 --> 01:13:23,200 Speaker 1: A com believe they're not knocking, all right. 1227 01:13:24,760 --> 01:13:26,800 Speaker 2: I got ideas, man, I got ideas. 1228 01:13:27,120 --> 01:13:29,599 Speaker 1: Of course you do, all right mate. We appreciate you, 1229 01:13:29,640 --> 01:13:32,719 Speaker 1: love having you on the show, and yeah, I value 1230 01:13:32,760 --> 01:13:35,040 Speaker 1: your contribution greatly. Thanks so much again. 1231 01:13:35,680 --> 01:13:37,920 Speaker 2: Hey, always a pleasure to look forward to next time.