1 00:00:00,880 --> 00:00:01,680 Speaker 1: I get a team. 2 00:00:02,120 --> 00:00:06,360 Speaker 2: I'm here with my favorite scientist, my favorite researcher, doctor 3 00:00:06,360 --> 00:00:09,480 Speaker 2: Bill Sullivan, all the way across the other side of 4 00:00:09,520 --> 00:00:10,560 Speaker 2: the world in the States. 5 00:00:11,080 --> 00:00:14,200 Speaker 3: Hi, mate, how are you doing great? Meat, Good to 6 00:00:14,200 --> 00:00:14,760 Speaker 3: see you again. 7 00:00:15,280 --> 00:00:17,080 Speaker 1: Yeah, good to see you, buddy. We were just talking. 8 00:00:17,200 --> 00:00:19,280 Speaker 2: I was just telling you, which is probably the world 9 00:00:19,360 --> 00:00:21,200 Speaker 2: doesn't need to know this, But I have this weird 10 00:00:21,239 --> 00:00:24,439 Speaker 2: thing that happens everyone, and that is I could be 11 00:00:24,440 --> 00:00:26,560 Speaker 2: sitting at my computer like I am now, and I'm 12 00:00:26,600 --> 00:00:29,760 Speaker 2: just chipping away at stuff and just doing it, and 13 00:00:30,640 --> 00:00:33,320 Speaker 2: all things are kind of just status quo, just humming along. 14 00:00:33,880 --> 00:00:36,640 Speaker 2: But then when I have to really focus on something, 15 00:00:36,720 --> 00:00:38,920 Speaker 2: like I was saying to Bill, read an academic paper 16 00:00:39,800 --> 00:00:43,400 Speaker 2: or something that for me is cognitively challenging, where it's 17 00:00:43,479 --> 00:00:47,400 Speaker 2: extreme focus concentration, I've got to be fully present. I 18 00:00:47,440 --> 00:00:50,880 Speaker 2: get hot and I usually have to take off Often 19 00:00:50,920 --> 00:00:53,080 Speaker 2: I'll turn off the if the heat is on, even 20 00:00:53,120 --> 00:00:54,800 Speaker 2: in the middle of winter, I'll open the door to 21 00:00:54,840 --> 00:00:58,720 Speaker 2: my office, I'll take off a layer of clothing. I 22 00:00:58,760 --> 00:01:00,960 Speaker 2: think maybe a lot of people don't realize that twenty 23 00:01:00,960 --> 00:01:04,559 Speaker 2: percent of our energy expenditure is the brain built, which 24 00:01:04,600 --> 00:01:07,080 Speaker 2: is a lot of energy for a tiny little thing 25 00:01:07,160 --> 00:01:08,400 Speaker 2: sitting in the old skull. 26 00:01:08,560 --> 00:01:13,520 Speaker 3: Hey, yeah, and that's what they estimate happens with the 27 00:01:13,560 --> 00:01:16,800 Speaker 3: brain at rest, So when you're using it, it ramps 28 00:01:16,880 --> 00:01:21,160 Speaker 3: up even higher. So it's probably not surprising that your 29 00:01:21,280 --> 00:01:24,520 Speaker 3: body's getting a little overheated reading some of those papers. 30 00:01:24,800 --> 00:01:28,120 Speaker 3: So yeah, yeah, if we talk down on you and 31 00:01:28,400 --> 00:01:30,920 Speaker 3: you're you're down to your underwear, we know what you've 32 00:01:30,959 --> 00:01:34,280 Speaker 3: been doing, right, you've been reading academic papers. 33 00:01:35,720 --> 00:01:38,640 Speaker 1: Oh, look at him, he's in his boxes. Clearly he's studying. 34 00:01:38,920 --> 00:01:41,319 Speaker 3: Yeah, we'll go obviously obviously with. 35 00:01:41,360 --> 00:01:42,440 Speaker 1: That one hundred percent. 36 00:01:42,959 --> 00:01:45,240 Speaker 2: It is funny though, like, so my body weight is 37 00:01:45,280 --> 00:01:48,560 Speaker 2: eighty six kilos, what's that eighty four one seventy it's 38 00:01:48,560 --> 00:01:52,440 Speaker 2: about one ninety pounds, and the brain weighs about one 39 00:01:52,480 --> 00:01:55,720 Speaker 2: point three or four, which is kind of three pounds ish. 40 00:01:56,240 --> 00:01:59,200 Speaker 2: That's a very small percentage of our body weight for 41 00:01:59,240 --> 00:02:02,120 Speaker 2: a very high percentage about energy use, isn't it? 42 00:02:02,440 --> 00:02:04,200 Speaker 1: That's wire is portionate. 43 00:02:04,920 --> 00:02:07,240 Speaker 3: Yeah, well, you know, if you think about it, that 44 00:02:07,400 --> 00:02:11,440 Speaker 3: is the key organ that defines who we are, and 45 00:02:12,120 --> 00:02:14,480 Speaker 3: it takes a lot of energy just to keep it 46 00:02:14,560 --> 00:02:17,440 Speaker 3: running at a basal level, you know, just couch potatoes 47 00:02:17,520 --> 00:02:21,400 Speaker 3: is still consuming twenty percent of your caloric intake. So 48 00:02:22,200 --> 00:02:26,160 Speaker 3: if you happen to use it beyond couch potato, yeah, 49 00:02:26,200 --> 00:02:28,400 Speaker 3: you're going to burn some more calories, which is kind 50 00:02:28,440 --> 00:02:30,480 Speaker 3: of fun. You know, you can just sit around thinking 51 00:02:30,919 --> 00:02:33,840 Speaker 3: and that's kind of an exercise, you know, it. 52 00:02:33,720 --> 00:02:34,840 Speaker 1: Is it is. 53 00:02:35,480 --> 00:02:38,560 Speaker 2: I remember a sign outside a gym near where I 54 00:02:38,560 --> 00:02:42,360 Speaker 2: live and it said something like thinking about going to 55 00:02:42,440 --> 00:02:44,639 Speaker 2: the gym doesn't burn any calories. You've actually got to 56 00:02:44,680 --> 00:02:47,440 Speaker 2: turn up or something. And I'm like, well, technically they're wrong. 57 00:02:47,919 --> 00:02:50,480 Speaker 3: You know, technically they're wrong. But you're probably not going 58 00:02:50,560 --> 00:02:54,760 Speaker 3: to lose too much weight or increase your health parameters 59 00:02:54,800 --> 00:02:57,320 Speaker 3: in a good way just by thinking too much. So 60 00:02:57,600 --> 00:03:00,120 Speaker 3: I understand marginal game. 61 00:03:00,560 --> 00:03:03,760 Speaker 2: One hundred percent. Hey, I want to start with something 62 00:03:03,840 --> 00:03:07,040 Speaker 2: weird today. Now I found this video. You I haven't 63 00:03:07,080 --> 00:03:09,760 Speaker 2: told you. By the way, we did know prep. I 64 00:03:09,800 --> 00:03:12,160 Speaker 2: do a little bit of prep everyone, and you know, 65 00:03:12,360 --> 00:03:15,320 Speaker 2: it's solid three four minutes. But Doctor Bill and I 66 00:03:15,400 --> 00:03:18,040 Speaker 2: literally chat for about one or two minutes before we 67 00:03:18,080 --> 00:03:21,000 Speaker 2: go live, so he doesn't know this is coming. It's 68 00:03:21,040 --> 00:03:23,200 Speaker 2: not anything weird, and I don't even know how we 69 00:03:23,240 --> 00:03:26,840 Speaker 2: get away, but this is this is a video from 70 00:03:27,400 --> 00:03:31,400 Speaker 2: Tucker Carlson was talking to a lady, some health expert. 71 00:03:31,840 --> 00:03:34,320 Speaker 2: I apologize or couldn't find her name, but you'll find 72 00:03:34,360 --> 00:03:37,440 Speaker 2: it everyone if you want to. So it's Tucker Carlson 73 00:03:37,560 --> 00:03:40,160 Speaker 2: talking to this lady. I won't tell you what it's about. 74 00:03:40,240 --> 00:03:41,560 Speaker 2: It only goes for about a minute. 75 00:03:41,560 --> 00:03:43,080 Speaker 1: Mate. I want you to have a listen, and then 76 00:03:43,120 --> 00:03:44,400 Speaker 1: I want to have a chat. Is that all right 77 00:03:44,440 --> 00:03:45,600 Speaker 1: with you? 78 00:03:44,600 --> 00:03:48,200 Speaker 3: You want me to watch Tucker Carlson. You're gonna say 79 00:03:48,200 --> 00:03:50,560 Speaker 3: I want you to watch I know, no, no, no, 80 00:03:50,600 --> 00:03:51,400 Speaker 3: it's not about him. 81 00:03:51,440 --> 00:03:53,080 Speaker 1: I know you're probably a fan, but not a fan. 82 00:03:53,160 --> 00:03:54,240 Speaker 1: But here we go, here we go. 83 00:03:55,120 --> 00:03:57,800 Speaker 4: Just give us the being slain condition of health in 84 00:03:57,840 --> 00:04:02,240 Speaker 4: the nastace, absolutely so. Seventy four percent of American adults 85 00:04:02,280 --> 00:04:06,000 Speaker 4: now are overweight or obese. Close to fifty percent of 86 00:04:06,040 --> 00:04:09,240 Speaker 4: children are overweight or obese. Seventy seven percent of young 87 00:04:09,240 --> 00:04:11,880 Speaker 4: adults are unfit to serve in the military because of 88 00:04:11,880 --> 00:04:13,080 Speaker 4: these issues like obesity. 89 00:04:13,320 --> 00:04:14,800 Speaker 3: Now, let's talk about diabetes. 90 00:04:15,240 --> 00:04:18,960 Speaker 4: Fifty percent full fifty percent of American adults have pre 91 00:04:19,000 --> 00:04:22,120 Speaker 4: diabetes or type two diabetes, which is a fundamental issue 92 00:04:22,160 --> 00:04:25,720 Speaker 4: in how ourselves contrasts the country Tucker have pre diabetes 93 00:04:25,760 --> 00:04:29,080 Speaker 4: or type two diabetes, and thirty percent of teens now 94 00:04:29,120 --> 00:04:32,480 Speaker 4: have pre diabetes. We have eighteen percent of teens with 95 00:04:32,640 --> 00:04:35,240 Speaker 4: fatty liver disease, a disease that used to be in 96 00:04:35,360 --> 00:04:38,720 Speaker 4: late stage alcoholics. Cancer rates are skyrocketing and the young 97 00:04:39,000 --> 00:04:42,760 Speaker 4: and the elderly. Young adult cancers are up seventy nine percent, 98 00:04:42,760 --> 00:04:44,760 Speaker 4: and this is the first year in American history We're 99 00:04:44,839 --> 00:04:48,200 Speaker 4: estimated to have over two million cases of cancer. Twenty 100 00:04:48,240 --> 00:04:52,040 Speaker 4: five percent of American women are on an antidepressant medication. 101 00:04:52,720 --> 00:04:56,120 Speaker 4: Forty percent of eighteen year olds have a mental health diagnosis. 102 00:04:56,160 --> 00:04:58,760 Speaker 4: We have the highest infant and maternal and mortality rate 103 00:04:58,960 --> 00:05:04,200 Speaker 4: in the entire developed world. Infertility is at peak rates. 104 00:05:04,200 --> 00:05:05,760 Speaker 4: I mean, I don't know how this is not front 105 00:05:05,760 --> 00:05:08,599 Speaker 4: page news. Infertility is going up one percent per year. 106 00:05:08,680 --> 00:05:12,240 Speaker 4: Sperm counts are going down one percent per year since 107 00:05:12,279 --> 00:05:15,440 Speaker 4: the nineteen seventies. Now, the thing that people need to 108 00:05:15,640 --> 00:05:19,960 Speaker 4: understand is that all of these conditions are caused or 109 00:05:20,040 --> 00:05:24,240 Speaker 4: driven by the exact same thing, which is metabolic dysfunction. 110 00:05:25,680 --> 00:05:29,040 Speaker 2: I would imagine, I would imagine that Australia is similar, 111 00:05:29,200 --> 00:05:31,640 Speaker 2: not in terms of absolute numbers, because we have a 112 00:05:31,680 --> 00:05:35,920 Speaker 2: smaller population, but you know, percentage wise, I wouldn't think 113 00:05:35,920 --> 00:05:37,440 Speaker 2: we would be drastically different. 114 00:05:37,960 --> 00:05:39,760 Speaker 1: What did you think about that? 115 00:05:41,160 --> 00:05:45,479 Speaker 3: Those are some pretty sobering statistics, and obviously I can't 116 00:05:45,720 --> 00:05:48,039 Speaker 3: fact check all of them, but I can say that 117 00:05:48,120 --> 00:05:52,200 Speaker 3: I've heard the same trends. You know, clearly our country 118 00:05:52,200 --> 00:05:55,800 Speaker 3: and many many in the western developed world have problems 119 00:05:55,800 --> 00:06:02,880 Speaker 3: with obesity, which spiral into problems with diabet There's also 120 00:06:03,440 --> 00:06:06,960 Speaker 3: I believe what she said about fertility and sperm counts 121 00:06:07,000 --> 00:06:09,920 Speaker 3: is also true. I've read similar articles to that effect 122 00:06:10,000 --> 00:06:15,040 Speaker 3: as well, although I don't know that it's completely attributable 123 00:06:15,040 --> 00:06:19,000 Speaker 3: to metabolic dysfunction. There are many other potential explanations that 124 00:06:19,040 --> 00:06:23,360 Speaker 3: could factor into changes in fertility rates, some of which 125 00:06:23,400 --> 00:06:25,919 Speaker 3: have nothing to do with biology at all, but just 126 00:06:25,960 --> 00:06:30,560 Speaker 3: psychological trends, social trends. So but yeah, a lot of 127 00:06:30,600 --> 00:06:37,200 Speaker 3: what she's saying, those trends, at least I've heard similar statistics. 128 00:06:38,040 --> 00:06:42,520 Speaker 2: It's interesting that like, we've never been more educated, we've 129 00:06:42,560 --> 00:06:46,160 Speaker 2: never had more resources, Like we've never been I was 130 00:06:46,200 --> 00:06:51,360 Speaker 2: going to say, we've never been smarter. That's not true behaviorally, 131 00:06:51,440 --> 00:06:56,120 Speaker 2: maybe we're stupid, who knows, But yeah, it seems that 132 00:06:56,240 --> 00:07:00,719 Speaker 2: despite all of our technology and all of our research 133 00:07:00,839 --> 00:07:05,760 Speaker 2: breakthroughs and everything that's happening in science, as a. 134 00:07:07,320 --> 00:07:08,480 Speaker 1: Bunch of people living on. 135 00:07:08,440 --> 00:07:13,040 Speaker 2: A planet, from a physical wellness point of view, we 136 00:07:13,120 --> 00:07:14,960 Speaker 2: seem to be going backwards, not forward. 137 00:07:15,000 --> 00:07:19,200 Speaker 3: Stock Oh yeah, I totally agree with that. And it's 138 00:07:19,280 --> 00:07:21,880 Speaker 3: like we're a victim of our own success. I mean, 139 00:07:21,960 --> 00:07:26,440 Speaker 3: the human species has been so successful around the world 140 00:07:26,680 --> 00:07:31,480 Speaker 3: in creating a lifestyle where we have easy access to 141 00:07:31,880 --> 00:07:36,200 Speaker 3: high caloric foods, which we used to struggle obtaining a 142 00:07:36,280 --> 00:07:39,960 Speaker 3: long time ago, you know, on the African savannah. So 143 00:07:40,240 --> 00:07:43,720 Speaker 3: now we have a bounty of those high calorie foods, 144 00:07:43,760 --> 00:07:48,040 Speaker 3: and our brain is wired to lust after them. Okay, 145 00:07:48,120 --> 00:07:52,120 Speaker 3: our brain is wired to crave them, and they're in abundance. 146 00:07:52,720 --> 00:07:56,480 Speaker 3: So there's a mismatch between how our brain reacts to 147 00:07:56,520 --> 00:08:00,480 Speaker 3: these foods and drives our behavior and the environ in 148 00:08:00,520 --> 00:08:03,480 Speaker 3: which we've currently in which we currently live. And I 149 00:08:03,520 --> 00:08:06,440 Speaker 3: say we're a victim of our own success, because you know, 150 00:08:06,600 --> 00:08:11,120 Speaker 3: humanity as a collective species has done a marvelous job 151 00:08:11,920 --> 00:08:19,320 Speaker 3: utilizing agriculture, domesticating animals, creating foods that can deliver a 152 00:08:19,440 --> 00:08:24,160 Speaker 3: high amount of the you know, nutrition, but also a 153 00:08:24,240 --> 00:08:28,600 Speaker 3: high amount of the bad things that we need to 154 00:08:28,720 --> 00:08:30,720 Speaker 3: get out of our diet if we want to get 155 00:08:30,760 --> 00:08:33,960 Speaker 3: back to a healthy lifestyle. You also couple that to 156 00:08:34,120 --> 00:08:37,959 Speaker 3: our intelligence in creating machinery and industries that can do 157 00:08:38,360 --> 00:08:42,360 Speaker 3: hard labor for us. So the amount of physical labor 158 00:08:42,360 --> 00:08:44,720 Speaker 3: that most human beings on the planet have to engage 159 00:08:44,720 --> 00:08:48,400 Speaker 3: in has gone way down, and in fact, most jobs 160 00:08:48,440 --> 00:08:52,120 Speaker 3: are sedentary. You know, you're just sitting on your butt 161 00:08:52,160 --> 00:08:55,360 Speaker 3: all day and there's not a lot of time left 162 00:08:55,840 --> 00:09:00,840 Speaker 3: for exercise and activity, which again, back in All D's 163 00:09:02,480 --> 00:09:06,920 Speaker 3: on the African savannah, we were always hunting, foraging, moving around. 164 00:09:07,360 --> 00:09:11,360 Speaker 3: You know, we were more of a nomad species, relocating 165 00:09:11,400 --> 00:09:15,280 Speaker 3: from place to police. Yeah, long story short, we were 166 00:09:15,280 --> 00:09:19,280 Speaker 3: getting a lot of physical activity that we simply don't 167 00:09:19,280 --> 00:09:20,080 Speaker 3: obtain today. 168 00:09:21,440 --> 00:09:24,720 Speaker 2: I heard something. It's it's probably not an accurate stat 169 00:09:24,760 --> 00:09:27,760 Speaker 2: but I think it couldn't. It might be somewhere in 170 00:09:27,760 --> 00:09:31,800 Speaker 2: the ballpark, but the average Australian expends about eight hundred 171 00:09:31,840 --> 00:09:34,240 Speaker 2: calories a day, which is a lot of calories, but 172 00:09:34,280 --> 00:09:38,240 Speaker 2: eight hundred calories a day less than fifty years ago. 173 00:09:39,520 --> 00:09:43,720 Speaker 2: And you know, we're the sit down generation like we've 174 00:09:43,800 --> 00:09:48,079 Speaker 2: never in the history of our species. We've never sat 175 00:09:48,120 --> 00:09:52,080 Speaker 2: more than we currently sit, because you know, I would 176 00:09:52,280 --> 00:09:56,720 Speaker 2: assume ninety percent of jobs are done seated or I 177 00:09:56,720 --> 00:09:59,160 Speaker 2: don't know what percentage, but a lot, you know. So 178 00:09:59,240 --> 00:10:02,480 Speaker 2: it's not only our we're eating more. So the volume 179 00:10:02,559 --> 00:10:05,959 Speaker 2: is up, the quality of food depending on you know 180 00:10:06,160 --> 00:10:09,120 Speaker 2: who and where, but the quality of food arguably is 181 00:10:09,160 --> 00:10:13,720 Speaker 2: down or the crap, you know, more more processed food, 182 00:10:13,840 --> 00:10:18,280 Speaker 2: less nutritional value, all of those things. But yeah, overall, 183 00:10:18,360 --> 00:10:22,240 Speaker 2: we just don't like incidental and occupational activity as we 184 00:10:22,320 --> 00:10:25,760 Speaker 2: call us ex sized scientists call it incidental and occupational 185 00:10:25,760 --> 00:10:29,200 Speaker 2: activity is down. So in general terms, we just don't 186 00:10:29,240 --> 00:10:32,920 Speaker 2: move as much as we used to move fifty years ago, 187 00:10:32,960 --> 00:10:35,400 Speaker 2: one hundred years ago, and especially hundreds of years ago, 188 00:10:35,480 --> 00:10:37,800 Speaker 2: when you know you would think a lot of people 189 00:10:37,880 --> 00:10:39,320 Speaker 2: moved a lot. 190 00:10:40,400 --> 00:10:44,280 Speaker 3: Yeah, absolutely, and then you know that's that's good news 191 00:10:44,320 --> 00:10:47,360 Speaker 3: bad news. I mean, we know these are the problems 192 00:10:47,440 --> 00:10:50,680 Speaker 3: that are leading to obesity and diabetes. We know it's 193 00:10:50,760 --> 00:10:55,080 Speaker 3: poor diet, we know it's not enough exercise, and you 194 00:10:55,120 --> 00:10:58,760 Speaker 3: know we should throw stress into that equation too. Remarkably, 195 00:10:58,800 --> 00:11:01,400 Speaker 3: it goes back to the paradise you alluded to earlier. 196 00:11:01,440 --> 00:11:06,840 Speaker 3: Craig in that we live in a tremendously wonderful time. 197 00:11:07,280 --> 00:11:10,560 Speaker 3: I mean, a lot of our basic needs are met. Okay, 198 00:11:10,679 --> 00:11:12,920 Speaker 3: even if you don't do a great deal of work 199 00:11:13,040 --> 00:11:14,560 Speaker 3: or make a lot of money, you can live a 200 00:11:14,559 --> 00:11:19,520 Speaker 3: pretty comfortable lifestyle. But we generate an extraordinary amount of 201 00:11:19,640 --> 00:11:23,800 Speaker 3: unnecessary stress and pressure and anxiety, and I think that 202 00:11:23,840 --> 00:11:27,600 Speaker 3: feeds back into making many of us miserable, which drives 203 00:11:27,679 --> 00:11:31,840 Speaker 3: appetite and discourages people from wanting to move around and exercise. 204 00:11:32,280 --> 00:11:36,400 Speaker 3: So I think ironically we have a higher level of 205 00:11:36,559 --> 00:11:40,400 Speaker 3: stress than maybe our evolutionary ancestors even did. 206 00:11:41,080 --> 00:11:44,319 Speaker 1: Yeah, that's interesting. I often think this. 207 00:11:44,400 --> 00:11:47,640 Speaker 2: Imagine going back a couple of hundred years and just 208 00:11:47,840 --> 00:11:50,720 Speaker 2: like being there for a day and you say, guess what. 209 00:11:51,120 --> 00:11:53,240 Speaker 2: In the future, you're just gonna like, if you're hot, 210 00:11:53,280 --> 00:11:55,160 Speaker 2: you're just going to push a button. And I'll go, 211 00:11:55,200 --> 00:11:57,520 Speaker 2: what's a button? We have to explain that you're going 212 00:11:57,559 --> 00:12:01,080 Speaker 2: to push a button on a wall and the room's 213 00:12:01,120 --> 00:12:04,679 Speaker 2: going to get cool, and then when you're cold, you 214 00:12:04,760 --> 00:12:06,840 Speaker 2: push another button, then the room will get warm. And 215 00:12:06,880 --> 00:12:08,560 Speaker 2: by the way, you're just going to have this thing 216 00:12:09,280 --> 00:12:11,760 Speaker 2: where it's going to have all this food in it. 217 00:12:11,960 --> 00:12:15,520 Speaker 2: That's fresh all the time and it keeps it cool. 218 00:12:16,400 --> 00:12:17,920 Speaker 2: And then you're going to have this other thing that 219 00:12:17,960 --> 00:12:20,439 Speaker 2: you can cook food in about ninety seconds. It's called 220 00:12:20,480 --> 00:12:22,320 Speaker 2: a microwave ove. And and then you're going to have this 221 00:12:22,400 --> 00:12:26,040 Speaker 2: thing you can just turn and cold fresh water comes 222 00:12:26,040 --> 00:12:29,400 Speaker 2: out like as much as you want. Like they'd be like, 223 00:12:29,559 --> 00:12:33,120 Speaker 2: that's bullshit, that's aw or you know, you know what. 224 00:12:33,000 --> 00:12:34,960 Speaker 3: Would happen to you if you were to go back 225 00:12:35,000 --> 00:12:38,520 Speaker 3: to the middle you would be burned at the steak 226 00:12:38,559 --> 00:12:41,320 Speaker 3: as a heretic and loon. That's what you would be, 227 00:12:41,679 --> 00:12:44,280 Speaker 3: you know, that's what they would do to you. Well, 228 00:12:45,240 --> 00:12:46,960 Speaker 3: Craig on the barbie. 229 00:12:47,920 --> 00:12:51,480 Speaker 1: But even imagine like when I was born, you know, 230 00:12:51,559 --> 00:12:52,280 Speaker 1: in the sixties. 231 00:12:52,320 --> 00:12:54,600 Speaker 2: Imagine if you said, in the not too distant future, 232 00:12:54,679 --> 00:12:57,280 Speaker 2: you're going to have you know, that telephone on the 233 00:12:57,320 --> 00:13:01,920 Speaker 2: wall with the bloody rotary do siling system. Well, you're 234 00:13:01,960 --> 00:13:05,360 Speaker 2: going to have a phone in your pocket that's you know, 235 00:13:05,720 --> 00:13:08,240 Speaker 2: like the size of a pack of cigarettes or smaller, 236 00:13:08,600 --> 00:13:11,959 Speaker 2: because that's what they had in their pocket in those days. 237 00:13:12,559 --> 00:13:14,719 Speaker 1: And not only not only will you be. 238 00:13:14,640 --> 00:13:18,360 Speaker 2: Able to talk to anyone anywhere in the world, it'll 239 00:13:18,400 --> 00:13:24,600 Speaker 2: also basically have more information than you know, all the 240 00:13:24,760 --> 00:13:28,360 Speaker 2: Encyclopedia Britannicas, which were also big in the sixties, put 241 00:13:28,400 --> 00:13:31,559 Speaker 2: together times a billion in your pocket and you can 242 00:13:31,679 --> 00:13:33,920 Speaker 2: just ask it a question and it will tell you 243 00:13:34,000 --> 00:13:36,920 Speaker 2: the answer to any like a game. And it's not 244 00:13:37,040 --> 00:13:39,960 Speaker 2: like that was a thousand years ago, that was last week. 245 00:13:40,360 --> 00:13:43,880 Speaker 2: In terms of the evolutionary you know timeline. 246 00:13:44,040 --> 00:13:47,120 Speaker 3: Yeah, it's crazy to think about, and it would be 247 00:13:47,120 --> 00:13:49,560 Speaker 3: a fun experiment to be able to go back and 248 00:13:49,679 --> 00:13:52,840 Speaker 3: see what those individuals thought. I mean, you could even 249 00:13:52,880 --> 00:13:55,480 Speaker 3: like go back in time to the Middle Ages and see, 250 00:13:56,120 --> 00:13:59,280 Speaker 3: you know, you're not feeling well, not because of bad 251 00:13:59,440 --> 00:14:03,120 Speaker 3: error or because of demons or you know, gods that 252 00:14:03,160 --> 00:14:06,960 Speaker 3: are angry at you, it's because of this tiny germ. Oh, 253 00:14:07,000 --> 00:14:09,040 Speaker 3: we'll show it to me. Well, we need a microscope 254 00:14:09,080 --> 00:14:13,400 Speaker 3: to see it. What's a microscope? And so we're going 255 00:14:13,480 --> 00:14:16,240 Speaker 3: to have medicines one day that can get rid of 256 00:14:16,320 --> 00:14:20,720 Speaker 3: these germs and make people well. And yeah, they'll just 257 00:14:20,760 --> 00:14:22,960 Speaker 3: be looking at you like you're crazy. And it makes 258 00:14:23,000 --> 00:14:27,560 Speaker 3: you think, twenty forty one hundred years from now, what 259 00:14:27,640 --> 00:14:29,760 Speaker 3: are humans going to come up with that we can't 260 00:14:29,800 --> 00:14:34,160 Speaker 3: even imagine today. Yeah, you know, you know, I'm assuming 261 00:14:34,200 --> 00:14:36,720 Speaker 3: we last that long. What are they going to come 262 00:14:36,800 --> 00:14:40,840 Speaker 3: up with that'll just blow us away? It's it's fun 263 00:14:40,880 --> 00:14:43,680 Speaker 3: to philosophize and think about those sorts of things. 264 00:14:43,880 --> 00:14:44,680 Speaker 1: And it's amazing. 265 00:14:44,840 --> 00:14:47,640 Speaker 2: Like we look back at the science in inverted commas 266 00:14:47,680 --> 00:14:50,640 Speaker 2: from you know, twenty thirty forty years ago, and some 267 00:14:50,720 --> 00:14:52,280 Speaker 2: of it was solid and some of it were like, 268 00:14:52,320 --> 00:14:52,960 Speaker 2: how on earth? 269 00:14:53,360 --> 00:14:54,200 Speaker 1: How on earth? You know? 270 00:14:54,280 --> 00:14:57,160 Speaker 2: Even for example, with the food pyramid is one that 271 00:14:57,200 --> 00:14:59,960 Speaker 2: I speak about too much, but you know, that was absolute, 272 00:15:00,040 --> 00:15:03,880 Speaker 2: that was break groundbreaking research and we found out that 273 00:15:05,240 --> 00:15:09,200 Speaker 2: it isn't and it's bullshit, but you know, but at 274 00:15:09,200 --> 00:15:12,200 Speaker 2: the time, everyone was like, this is the way to eat. 275 00:15:12,240 --> 00:15:16,360 Speaker 2: Low fat eating equals low fat humans, and off we go. 276 00:15:17,040 --> 00:15:20,280 Speaker 2: And yeah, it makes you wonder in fifty years what 277 00:15:20,280 --> 00:15:22,840 Speaker 2: they're going to talk about that was science in inverted 278 00:15:22,880 --> 00:15:27,000 Speaker 2: commas in twenty twenty four, That to them will be laughable. 279 00:15:27,840 --> 00:15:29,480 Speaker 3: You know, I'm going to make a prediction because I 280 00:15:29,520 --> 00:15:31,560 Speaker 3: won't be here to verify it or not. I won't 281 00:15:31,560 --> 00:15:33,640 Speaker 3: care if I'm right or wrong, but I'll make a 282 00:15:33,680 --> 00:15:37,440 Speaker 3: prediction that we are obsessed way too much with the 283 00:15:37,440 --> 00:15:41,960 Speaker 3: individual components of of you know, what types of bats 284 00:15:42,040 --> 00:15:44,360 Speaker 3: and how much sugar and all this other stuff that 285 00:15:44,400 --> 00:15:48,200 Speaker 3: are in foods. We're too obsessed with that. And you know, 286 00:15:48,360 --> 00:15:51,200 Speaker 3: to an extent, we do need to pay attention to 287 00:15:51,240 --> 00:15:53,480 Speaker 3: how much sugar, salt, and fat are in there. But 288 00:15:53,720 --> 00:15:57,880 Speaker 3: what that misses? What that misses or all the chemicals 289 00:15:57,880 --> 00:16:00,840 Speaker 3: that are put into food, all these preserved and all 290 00:16:00,880 --> 00:16:04,480 Speaker 3: these other chemicals that we have no idea what they 291 00:16:04,560 --> 00:16:08,280 Speaker 3: might be doing in our body, either alone or in combination, 292 00:16:08,440 --> 00:16:13,480 Speaker 3: because they're not sufficiently tested before they're utilized in food products. 293 00:16:13,560 --> 00:16:17,120 Speaker 3: Europe is a little better about this, and lo and behold, Craig. 294 00:16:17,520 --> 00:16:19,760 Speaker 3: They don't have a huge obesity problem. 295 00:16:20,120 --> 00:16:20,440 Speaker 1: Wow. 296 00:16:20,800 --> 00:16:23,280 Speaker 3: I just came back from a from a tour of 297 00:16:23,320 --> 00:16:29,640 Speaker 3: the Mediterranean, Okay, and it's striking the difference of how 298 00:16:30,360 --> 00:16:34,280 Speaker 3: thin people are, how lean people are in general over 299 00:16:34,320 --> 00:16:39,160 Speaker 3: there compared to almost anywhere you put yourself into in America. 300 00:16:39,200 --> 00:16:42,720 Speaker 3: There's it's a striking difference. But one thing that is 301 00:16:42,760 --> 00:16:46,360 Speaker 3: not different when you go to the Mediterranean, it is 302 00:16:46,520 --> 00:16:54,280 Speaker 3: full of cafes, pastries, canola's, gelato. There's all kinds of sweets, pastas, carbs, everything. Right, 303 00:16:54,800 --> 00:16:59,360 Speaker 3: The diet doesn't strike me as being ridiculously different. Maybe 304 00:16:59,440 --> 00:17:02,800 Speaker 3: the portions are smaller, and there's there's more fruits and 305 00:17:02,920 --> 00:17:07,119 Speaker 3: vegetables and stuff. But the thing that struck me was 306 00:17:07,200 --> 00:17:10,720 Speaker 3: the freshness of the foods. Okay, people like go out 307 00:17:10,760 --> 00:17:14,399 Speaker 3: to the market and or their gardens and grab what 308 00:17:14,480 --> 00:17:16,680 Speaker 3: they want to eat right then and there, right off 309 00:17:16,680 --> 00:17:19,680 Speaker 3: the vine, so to speak. Okay, it's all fresh. There's 310 00:17:19,720 --> 00:17:24,199 Speaker 3: no chemicals, there's no preservatives, and maybe the stuff that 311 00:17:24,240 --> 00:17:27,119 Speaker 3: we're putting into food in order to process it or 312 00:17:27,200 --> 00:17:30,760 Speaker 3: ultra process it, maybe those are the real culprits. And 313 00:17:30,840 --> 00:17:34,000 Speaker 3: fifty years from now, my prediction is that we are 314 00:17:34,040 --> 00:17:35,919 Speaker 3: going to sort some of that out and we're going 315 00:17:35,960 --> 00:17:37,600 Speaker 3: to look back and say, oh, why were we so 316 00:17:37,760 --> 00:17:40,400 Speaker 3: obsessed with a little too much sugar? It was these 317 00:17:40,480 --> 00:17:42,960 Speaker 3: chemicals that were making everybody so large. 318 00:17:43,520 --> 00:17:48,480 Speaker 1: That is a very very interesting hypothesis. Stock I don't 319 00:17:48,520 --> 00:17:49,400 Speaker 1: disagree with you. 320 00:17:49,440 --> 00:17:55,240 Speaker 2: And you know, further to that, when you have I 321 00:17:55,280 --> 00:17:58,680 Speaker 2: always talk to people about you know, packaging and food labeling. 322 00:17:58,720 --> 00:18:01,080 Speaker 2: And you know what's written on the front of the 323 00:18:01,119 --> 00:18:05,479 Speaker 2: box or the can or the packet is advertising. And 324 00:18:05,520 --> 00:18:09,240 Speaker 2: the tiny little box, the tiny little square down the 325 00:18:09,240 --> 00:18:12,280 Speaker 2: bottom of the back of the package with the teeny 326 00:18:12,520 --> 00:18:15,720 Speaker 2: tiny writing that you really, I can't read it because 327 00:18:15,760 --> 00:18:18,280 Speaker 2: my eyes are shit and I'm old. But there's a 328 00:18:18,320 --> 00:18:21,240 Speaker 2: reason that it's hidden away down the bottom at the back, 329 00:18:21,720 --> 00:18:24,560 Speaker 2: and there's a reason that the writing is so small, 330 00:18:25,080 --> 00:18:27,520 Speaker 2: and there's a reason that they're trying to make it 331 00:18:27,600 --> 00:18:31,439 Speaker 2: is as obscure as possible, because they don't want you 332 00:18:31,520 --> 00:18:34,560 Speaker 2: to pay attention to that, you know. And it's funny 333 00:18:34,560 --> 00:18:37,640 Speaker 2: when you look at something like and this is ironic, 334 00:18:38,080 --> 00:18:40,280 Speaker 2: but a protein bar, you go, I might have a 335 00:18:40,280 --> 00:18:43,480 Speaker 2: protein bar that's better than a Mars baruck. 336 00:18:43,680 --> 00:18:44,399 Speaker 1: Probably not. 337 00:18:44,960 --> 00:18:48,600 Speaker 2: I mean some of them, like some of those protein 338 00:18:48,680 --> 00:18:52,000 Speaker 2: bars in inverted commas, which sell like hotcakes in Australia 339 00:18:52,080 --> 00:18:57,560 Speaker 2: because ironically hotcakes, we think, you know, that's a healthy option. 340 00:18:57,800 --> 00:19:01,200 Speaker 2: Some of them have got fifty ingredients and forty of 341 00:19:01,240 --> 00:19:03,080 Speaker 2: the ingredients you don't know what they are. 342 00:19:04,000 --> 00:19:07,919 Speaker 3: Yeah, And we have the same trends over here, people 343 00:19:08,040 --> 00:19:12,120 Speaker 3: gobbling these things down like their candy, and they're marketed 344 00:19:12,200 --> 00:19:16,199 Speaker 3: as if they're not candy. Yeah, you know, and it's 345 00:19:17,160 --> 00:19:19,720 Speaker 3: kind of goofy to me. I think one of the 346 00:19:19,720 --> 00:19:22,400 Speaker 3: manufacturers of these bars got sued because they were making 347 00:19:22,440 --> 00:19:24,959 Speaker 3: health cleans, when in fact they were just a glorified 348 00:19:25,000 --> 00:19:25,520 Speaker 3: candy bar. 349 00:19:26,240 --> 00:19:29,520 Speaker 2: Yeah, yeah, yeah, Well, I mean, I don't know how 350 00:19:29,520 --> 00:19:33,400 Speaker 2: it is in the States, but there's a I think 351 00:19:33,440 --> 00:19:36,240 Speaker 2: it's called the Heart Foundation in Australia where you can 352 00:19:36,359 --> 00:19:40,560 Speaker 2: buy what's called a healthy Heart tick or something like that. 353 00:19:41,160 --> 00:19:42,320 Speaker 1: So companies pay. 354 00:19:43,080 --> 00:19:46,520 Speaker 2: It's all about just a transaction to get this tick 355 00:19:46,520 --> 00:19:49,480 Speaker 2: of approval from the Heart Foundation on the front of 356 00:19:49,520 --> 00:19:52,560 Speaker 2: their product. And it doesn't it's not because it meets 357 00:19:52,560 --> 00:19:55,440 Speaker 2: some criteria. I could be wrong on this, but I'm 358 00:19:55,440 --> 00:19:58,120 Speaker 2: pretty sure. Maybe it's got to meet some very low 359 00:19:58,240 --> 00:20:02,159 Speaker 2: level criteria. But for the most part, my understanding is 360 00:20:02,200 --> 00:20:06,800 Speaker 2: it's something that companies pay for, which is good for 361 00:20:06,840 --> 00:20:09,080 Speaker 2: the Heart Foundation, I guess, because it gives them money 362 00:20:09,080 --> 00:20:12,520 Speaker 2: in the bank. But it seemed to be some kind of, 363 00:20:13,680 --> 00:20:17,240 Speaker 2: you know, brand improving kind of strategy. Do you think 364 00:20:17,280 --> 00:20:22,520 Speaker 2: that like talking about the past and the now. I 365 00:20:22,760 --> 00:20:28,720 Speaker 2: always feel like we have become disconnected from the wisdom 366 00:20:28,760 --> 00:20:31,280 Speaker 2: of our body. And I know that sounds fluffy, but 367 00:20:32,480 --> 00:20:35,240 Speaker 2: you know, like our body is so smart now. Bio 368 00:20:35,359 --> 00:20:39,280 Speaker 2: is a biofeedback system that's always talking to us. But 369 00:20:39,800 --> 00:20:43,439 Speaker 2: you know, in the days of instant gratification and fast 370 00:20:43,440 --> 00:20:48,119 Speaker 2: food and basically dopamine at will, you know, or dopamine 371 00:20:48,160 --> 00:20:50,520 Speaker 2: providers of sorts, you know, like where we can just 372 00:20:50,560 --> 00:20:53,760 Speaker 2: push that button and get a quick fix. I feel 373 00:20:53,800 --> 00:20:56,520 Speaker 2: like we've disconnected from our body in a way. 374 00:20:57,520 --> 00:21:02,240 Speaker 3: We are totally disconnected. There's a scientific term for these phenomenon, 375 00:21:02,320 --> 00:21:06,679 Speaker 3: and it's called evolutionary mismatch, and it's basically that we 376 00:21:06,760 --> 00:21:10,119 Speaker 3: are not born for this time. We are not born 377 00:21:10,200 --> 00:21:12,960 Speaker 3: for the modern environment that we have created. We are 378 00:21:13,040 --> 00:21:17,080 Speaker 3: born to literally be hunters and gatherers and small tribes 379 00:21:17,080 --> 00:21:20,520 Speaker 3: on the African savannah. That's what we've evolved to be 380 00:21:20,760 --> 00:21:25,160 Speaker 3: for tens of millions of years. So that is deeply, 381 00:21:25,520 --> 00:21:30,840 Speaker 3: deeply wired into our brain and that's just how things are, 382 00:21:30,880 --> 00:21:33,440 Speaker 3: that's our history. But you put us in. You put 383 00:21:33,480 --> 00:21:36,800 Speaker 3: an animal like that into the modern world where it's 384 00:21:36,840 --> 00:21:39,400 Speaker 3: a veritable candy land and you don't have to move 385 00:21:39,440 --> 00:21:42,800 Speaker 3: around as much. You know, you sit and watch television 386 00:21:42,920 --> 00:21:47,160 Speaker 3: passively for hours. You have an animal that is ill 387 00:21:47,240 --> 00:21:51,760 Speaker 3: suited for its environment, and there's negative health consequences that 388 00:21:51,800 --> 00:21:56,720 Speaker 3: start to accumulate over time with that lifestyle. And it's 389 00:21:56,720 --> 00:21:59,679 Speaker 3: a catch twenty two with our brain because back in 390 00:21:59,800 --> 00:22:03,720 Speaker 3: our old evolutionary days, you know, millions of years ago, 391 00:22:03,880 --> 00:22:06,879 Speaker 3: when it was hard to come by something sweet or 392 00:22:06,920 --> 00:22:11,879 Speaker 3: something fatty, our brain would go absolutely nuts when it 393 00:22:12,000 --> 00:22:16,679 Speaker 3: finally tasted something that had something that had a sweet 394 00:22:16,720 --> 00:22:19,359 Speaker 3: flavor or a fatty flavor, it would just go nuts. 395 00:22:19,440 --> 00:22:23,719 Speaker 3: Dopamine would be surging because it's a substantial reward, and 396 00:22:23,760 --> 00:22:26,800 Speaker 3: it would induce us to move our bodies to go 397 00:22:26,960 --> 00:22:29,919 Speaker 3: find those foods as much as we can. But they 398 00:22:29,920 --> 00:22:33,000 Speaker 3: were quite rare, so they were they were rare treats. 399 00:22:33,840 --> 00:22:36,560 Speaker 3: But now we can just sit and hit the dopamine 400 00:22:36,560 --> 00:22:40,560 Speaker 3: button all day long, popping in crisp after crisp, you know, 401 00:22:40,720 --> 00:22:44,640 Speaker 3: candy bar after candy bar, and you know that our 402 00:22:44,680 --> 00:22:47,440 Speaker 3: body was not built to handle that level of sugar, fat, 403 00:22:47,520 --> 00:22:50,040 Speaker 3: and salt. It just simply is not. And then you 404 00:22:50,119 --> 00:22:52,520 Speaker 3: couple that on top of the fact that many of these, 405 00:22:53,560 --> 00:22:57,680 Speaker 3: you know, these these candies and potato chips and pretzels 406 00:22:57,680 --> 00:23:00,720 Speaker 3: and so on, are highly processed foods with all sorts 407 00:23:00,760 --> 00:23:05,760 Speaker 3: of other chemicals added into that. You just have an 408 00:23:05,840 --> 00:23:11,360 Speaker 3: incredibly artificial nutritional source that our body has not evolved 409 00:23:11,800 --> 00:23:17,719 Speaker 3: to metabolize properly. Okay, it's evolved to enjoy the taste 410 00:23:17,760 --> 00:23:21,879 Speaker 3: and the texture, but it's not evolved to translate it 411 00:23:21,920 --> 00:23:23,960 Speaker 3: into something nutritionally valuable. 412 00:23:25,760 --> 00:23:29,320 Speaker 2: Yeah, And I think like one of the challenges is, 413 00:23:30,600 --> 00:23:32,600 Speaker 2: you know that you can push the dopamine button and 414 00:23:32,640 --> 00:23:33,960 Speaker 2: go all right, I'm going to eat the cake, or 415 00:23:34,000 --> 00:23:35,600 Speaker 2: I'm going to eat the candy bar, or I'm gonna 416 00:23:35,600 --> 00:23:37,520 Speaker 2: eat the crisps, or I'm going to eat whatever it 417 00:23:37,560 --> 00:23:42,320 Speaker 2: is that thing that while simultaneously being in a body 418 00:23:42,960 --> 00:23:47,840 Speaker 2: that isn't working well, you know, and simultaneously thinking I 419 00:23:48,520 --> 00:23:50,239 Speaker 2: want to get in shape. I want to change my 420 00:23:50,560 --> 00:23:55,399 Speaker 2: body composition, lose fat, lose weight, be healthier, have more energy, 421 00:23:55,480 --> 00:23:59,080 Speaker 2: have more function, improve my immune system, create a longer 422 00:23:59,119 --> 00:24:02,400 Speaker 2: health span, all that stuff. But for the moment, I'm 423 00:24:02,400 --> 00:24:04,680 Speaker 2: going to eat this cake because when I eat this cake, 424 00:24:04,720 --> 00:24:07,920 Speaker 2: I get instant gratification. But if I don't eat the cake, 425 00:24:08,640 --> 00:24:11,960 Speaker 2: then I don't get instant transformation. And so I'll eat 426 00:24:11,960 --> 00:24:15,320 Speaker 2: the cake today, but I'll start tomorrow. And that becomes 427 00:24:15,359 --> 00:24:18,400 Speaker 2: a twenty year in a dialogue. And now I'm fifty 428 00:24:18,440 --> 00:24:21,679 Speaker 2: two and now I'm morbidly obese. My back hurts, I've 429 00:24:21,680 --> 00:24:24,880 Speaker 2: got high blood pressure, I'm diabetic, and I've almost been 430 00:24:25,000 --> 00:24:28,840 Speaker 2: changing my operating system since I was thirty, and that 431 00:24:28,960 --> 00:24:31,840 Speaker 2: is I think that is the hard thing about delaying 432 00:24:31,880 --> 00:24:35,960 Speaker 2: gratification is that they're you know, the point of the 433 00:24:36,040 --> 00:24:40,000 Speaker 2: point is that we love that fix that whatever right now, 434 00:24:40,160 --> 00:24:43,320 Speaker 2: and when we say no, you just left in this 435 00:24:43,560 --> 00:24:45,960 Speaker 2: kind of space of well, this is not much fun. 436 00:24:46,040 --> 00:24:49,600 Speaker 2: And the worst thing I've put that in inverted commas 437 00:24:50,400 --> 00:24:51,800 Speaker 2: is that you've got to have quite a lot of 438 00:24:51,840 --> 00:24:56,720 Speaker 2: those days to actually see real shift, and then you've 439 00:24:56,720 --> 00:25:00,400 Speaker 2: got a string years together to actually change your you know, 440 00:25:00,440 --> 00:25:04,440 Speaker 2: your hardwired operating system. And this is you know, when 441 00:25:04,480 --> 00:25:08,240 Speaker 2: you've been eating and thinking and behaving and socializing and 442 00:25:08,920 --> 00:25:11,600 Speaker 2: living a certain way for twenty five years, you're not 443 00:25:11,640 --> 00:25:13,520 Speaker 2: going to fix that by next Tuesday. 444 00:25:13,560 --> 00:25:13,720 Speaker 1: You know. 445 00:25:14,800 --> 00:25:18,960 Speaker 3: No, it's a step wise process and it's not something 446 00:25:19,080 --> 00:25:21,520 Speaker 3: This is a misconception that a lot of people have, 447 00:25:21,560 --> 00:25:25,280 Speaker 3: and that's why fad diets are so popular. Everybody's looking 448 00:25:25,320 --> 00:25:28,880 Speaker 3: for a quick fix, just like you know, the satisfaction 449 00:25:28,960 --> 00:25:31,240 Speaker 3: you get from a piece of cake. They want to 450 00:25:31,240 --> 00:25:34,000 Speaker 3: get a quick fix out of a dietary program. And 451 00:25:34,040 --> 00:25:37,119 Speaker 3: that's not going to happen. That's not how these things work. Yes, 452 00:25:37,240 --> 00:25:42,120 Speaker 3: these are more like lifelong changes. Lifestyle changes. You have 453 00:25:42,200 --> 00:25:49,520 Speaker 3: to program your brain to resist instant gratification, keeping in 454 00:25:49,600 --> 00:25:53,359 Speaker 3: mind the long term goal and the long term satisfaction 455 00:25:53,840 --> 00:25:58,600 Speaker 3: that will come with a healthier you know, with a 456 00:25:58,600 --> 00:26:02,480 Speaker 3: healthier body. So it's hard for human beings to think 457 00:26:02,560 --> 00:26:06,120 Speaker 3: like that because again we're not evolutionarily designed to think 458 00:26:06,200 --> 00:26:10,479 Speaker 3: in the long term. Our lives used to be much shorter, okay, 459 00:26:10,840 --> 00:26:15,000 Speaker 3: and resources were much more scarce, so we operated on 460 00:26:15,040 --> 00:26:19,320 Speaker 3: a very here and now level okay. And again that 461 00:26:19,440 --> 00:26:22,360 Speaker 3: kind of behavior is deeply ingrained into our brain. It's 462 00:26:22,400 --> 00:26:26,160 Speaker 3: deeply hardwired there. So you really do have to put 463 00:26:26,200 --> 00:26:30,640 Speaker 3: forth substantial effort. And that's why this is not easy. Crazy. 464 00:26:30,640 --> 00:26:32,600 Speaker 3: This is why so many people fail when they try. 465 00:26:33,280 --> 00:26:36,159 Speaker 3: Is you have to put forth a daily effort to 466 00:26:36,320 --> 00:26:39,560 Speaker 3: try to resist the instant gratification, keeping in mind the 467 00:26:39,600 --> 00:26:43,200 Speaker 3: real prize is down the road, and it's full of 468 00:26:43,280 --> 00:26:46,600 Speaker 3: hurdles to get there, but it's worth getting there. 469 00:26:47,280 --> 00:26:51,720 Speaker 2: Yeah, I my listeners know this, but don't after you know, 470 00:26:51,760 --> 00:26:54,760 Speaker 2: at doc, But I spent. I always had food issues 471 00:26:54,800 --> 00:26:56,080 Speaker 2: when I was a kid because I was a fat 472 00:26:56,119 --> 00:26:58,600 Speaker 2: kid and I had everything that wasn't niled down. And 473 00:26:58,640 --> 00:27:01,760 Speaker 2: then I got in shape, lean strong, functional, and then 474 00:27:02,160 --> 00:27:07,080 Speaker 2: towards my late twenties and early thirties, I had five businesses. 475 00:27:07,280 --> 00:27:10,159 Speaker 2: Life was good, making lots, do you know. From the 476 00:27:10,200 --> 00:27:16,879 Speaker 2: outside looking in, everything was good. But my volatile relationship 477 00:27:16,920 --> 00:27:19,520 Speaker 2: with food kind of re emerged, and I started to 478 00:27:19,640 --> 00:27:21,320 Speaker 2: just I'll have a little bit of this, little bit 479 00:27:21,359 --> 00:27:24,600 Speaker 2: of that, and that won't hurt you know, one piece 480 00:27:24,680 --> 00:27:27,480 Speaker 2: won't kill me, that kind of idea, and of course 481 00:27:27,520 --> 00:27:30,719 Speaker 2: one piece won't literally kill you generally. But then I 482 00:27:30,760 --> 00:27:33,240 Speaker 2: looked up a minute later, which was probably a year later, 483 00:27:33,320 --> 00:27:35,840 Speaker 2: and I was basically fat again. 484 00:27:36,400 --> 00:27:39,120 Speaker 1: And I remember, so here I am. 485 00:27:39,160 --> 00:27:42,760 Speaker 2: I'm this guy who's got quite a high profile in 486 00:27:42,960 --> 00:27:47,600 Speaker 2: Australian fitness and workshops and seminars all around the country. 487 00:27:47,680 --> 00:27:50,879 Speaker 2: I'm writing for magazines and news. I'm doing all this 488 00:27:50,920 --> 00:27:55,439 Speaker 2: stuff and I'm lying. I'm lying to people about what 489 00:27:55,640 --> 00:27:59,119 Speaker 2: I do, you know, And I'm wearing bigger and baggier 490 00:27:59,359 --> 00:28:01,480 Speaker 2: workout so people won't know. 491 00:28:02,280 --> 00:28:03,320 Speaker 1: Of course they won't. 492 00:28:03,520 --> 00:28:06,480 Speaker 2: No, nobody could possibly tell, because these are magic clothes 493 00:28:06,560 --> 00:28:10,479 Speaker 2: right right right Like for me, I don't know about you, 494 00:28:10,560 --> 00:28:15,240 Speaker 2: but for me, like food was it really took until 495 00:28:15,240 --> 00:28:17,040 Speaker 2: I was and even though I knew what to do. 496 00:28:17,640 --> 00:28:22,240 Speaker 2: I had pretty good understanding, I was pretty educated all that. 497 00:28:23,480 --> 00:28:26,119 Speaker 2: For me, it just took, I would say, until I 498 00:28:26,160 --> 00:28:31,280 Speaker 2: was about thirty five before I got I would say 499 00:28:31,280 --> 00:28:34,200 Speaker 2: almost the analogy would be clean and sober, do you 500 00:28:34,280 --> 00:28:34,720 Speaker 2: know what I mean? 501 00:28:34,760 --> 00:28:37,639 Speaker 1: Where I wasn't pushing itself or others. It took me 502 00:28:37,840 --> 00:28:38,640 Speaker 1: a long time. 503 00:28:40,280 --> 00:28:43,200 Speaker 3: I've heard psychologists talk in those terms about food addiction 504 00:28:43,320 --> 00:28:47,920 Speaker 3: and john food addiction, treating it as such and people 505 00:28:47,920 --> 00:28:50,320 Speaker 3: who can finally modify their habits as kind of a 506 00:28:50,440 --> 00:28:54,280 Speaker 3: sobering up. I've heard that before. So it's a pretty 507 00:28:54,280 --> 00:28:57,680 Speaker 3: apt analogy, I would say. And there's even been studies 508 00:28:57,680 --> 00:28:59,480 Speaker 3: that show that sugar lates up to seeing parts of 509 00:28:59,520 --> 00:29:04,280 Speaker 3: your brain cocaine will, So there are some parallels there. 510 00:29:04,480 --> 00:29:07,560 Speaker 3: And everyone is well aware how hard it is to 511 00:29:07,600 --> 00:29:11,560 Speaker 3: break addiction with substances like cocaine or alcohol. But what 512 00:29:11,600 --> 00:29:15,200 Speaker 3: we don't appreciate very much is it's just as hard 513 00:29:15,680 --> 00:29:18,800 Speaker 3: in many cases to break those addictions to sugar, fat, 514 00:29:18,880 --> 00:29:22,400 Speaker 3: and salt as well. I applaud you for doing it, 515 00:29:22,640 --> 00:29:24,840 Speaker 3: and I know a lot of people struggle with it because, 516 00:29:26,200 --> 00:29:29,880 Speaker 3: like I said, we are evolutionarily hardwired to go after 517 00:29:29,960 --> 00:29:33,080 Speaker 3: those types of foods. So we're basically trying to put 518 00:29:33,120 --> 00:29:37,320 Speaker 3: a break on the human spirit itself. We're trying to 519 00:29:37,360 --> 00:29:42,200 Speaker 3: put a break on innate, impulsive actions, and that's really 520 00:29:42,240 --> 00:29:44,960 Speaker 3: difficult to do, but it can be done. And what 521 00:29:45,080 --> 00:29:49,160 Speaker 3: I found, you know, as I started to eat better 522 00:29:49,640 --> 00:29:52,200 Speaker 3: and because you know, as you get older, your metabolism 523 00:29:52,280 --> 00:29:54,600 Speaker 3: isn't what it used to be, and the same foods 524 00:29:54,600 --> 00:29:57,120 Speaker 3: that you put into you start to pack on pounds 525 00:29:57,200 --> 00:30:01,920 Speaker 3: rather than just magically, you know, disappear. So I noticed 526 00:30:01,960 --> 00:30:04,640 Speaker 3: in my twenties I was gaining weight for like the 527 00:30:04,680 --> 00:30:08,120 Speaker 3: first time in my life, but my diet wasn't changing much. 528 00:30:09,240 --> 00:30:12,680 Speaker 3: But since my metabolism was changing because of age and 529 00:30:12,800 --> 00:30:15,720 Speaker 3: I was a little more sedentary in those days, I 530 00:30:15,760 --> 00:30:18,800 Speaker 3: had to make some changes in order to stay as 531 00:30:18,880 --> 00:30:20,960 Speaker 3: lean as I used to be. And I wanted to 532 00:30:21,000 --> 00:30:23,240 Speaker 3: do that because in my brain I knew it was healthy. 533 00:30:23,560 --> 00:30:27,840 Speaker 3: You know, I'm here working in biomedical sciences, so I 534 00:30:27,960 --> 00:30:31,040 Speaker 3: have to toe that line, right, you know, I have 535 00:30:31,120 --> 00:30:33,320 Speaker 3: to practice what I preach, kind of like your story 536 00:30:33,480 --> 00:30:37,520 Speaker 3: was alluding to. So I made those changes and they 537 00:30:37,520 --> 00:30:41,840 Speaker 3: were really difficult, you know, breaking habits and forming new ones. 538 00:30:42,240 --> 00:30:45,440 Speaker 3: It's serious business, but it can be done. And the 539 00:30:45,480 --> 00:30:49,560 Speaker 3: good news is that, at least in my experience, as 540 00:30:49,560 --> 00:30:51,680 Speaker 3: you start to eat healthier and as you start to 541 00:30:51,720 --> 00:30:55,320 Speaker 3: move around more and get more exercise, these sorts of 542 00:30:55,360 --> 00:30:59,480 Speaker 3: activities become addictive as well. So you're trading off an 543 00:30:59,480 --> 00:31:04,080 Speaker 3: addiction for junk food for an addiction with healthy behavior. Okay. 544 00:31:05,520 --> 00:31:08,719 Speaker 3: I used to be addicted to mountain dew, doctor pepper, 545 00:31:08,760 --> 00:31:12,080 Speaker 3: these sodas, okay, these are these sugar waters. I made 546 00:31:12,120 --> 00:31:17,600 Speaker 3: a clean cold turkey break from those after realizing it's 547 00:31:17,600 --> 00:31:19,840 Speaker 3: hard for me to fathom that. When I was younger, 548 00:31:19,880 --> 00:31:21,880 Speaker 3: I did not appreciate how much sugar was in a 549 00:31:21,920 --> 00:31:25,920 Speaker 3: single can of pop or soda. And once I learned that, 550 00:31:26,040 --> 00:31:28,840 Speaker 3: once someone told me that, I'm like, holy crap, I 551 00:31:28,920 --> 00:31:31,760 Speaker 3: really got to knock this stuff off. This is an 552 00:31:31,840 --> 00:31:35,360 Speaker 3: easy way to start losing weight. Okay, So I quit 553 00:31:35,400 --> 00:31:37,920 Speaker 3: them cold turkey. I just started drinking water. You know, 554 00:31:38,680 --> 00:31:41,240 Speaker 3: water is plenty of refreshing for me. That was one 555 00:31:41,280 --> 00:31:44,440 Speaker 3: of the biggest changes I saw. You know, in my 556 00:31:45,400 --> 00:31:51,160 Speaker 3: history of dealing with weight issues, is that just dropping 557 00:31:51,240 --> 00:31:55,120 Speaker 3: soda out of your life can work. Wonders. But then 558 00:31:55,160 --> 00:31:58,640 Speaker 3: I'm like, you know, get addicted to all sorts of teas, 559 00:31:58,880 --> 00:32:03,240 Speaker 3: you know, and you know there's other alternatives out there 560 00:32:03,280 --> 00:32:08,480 Speaker 3: that you can find and enjoy with as much you know, 561 00:32:08,720 --> 00:32:12,520 Speaker 3: passion as you did the other products. The big difference 562 00:32:12,560 --> 00:32:13,400 Speaker 3: is they're healthier for you. 563 00:32:14,120 --> 00:32:15,560 Speaker 1: Yeah. 564 00:32:15,640 --> 00:32:17,320 Speaker 2: One of the things I used to do doc when 565 00:32:17,320 --> 00:32:20,440 Speaker 2: I owned gyms and I did you know, my I 566 00:32:20,480 --> 00:32:24,280 Speaker 2: was at the cold face of personal training forever. And 567 00:32:24,840 --> 00:32:27,040 Speaker 2: when people would come in, we'd do an assessment, which 568 00:32:27,040 --> 00:32:30,280 Speaker 2: would be, you know, there'd be a bit of formal stuff, 569 00:32:30,320 --> 00:32:35,560 Speaker 2: a bit of hesting per se, you know, strength and fitness, 570 00:32:35,600 --> 00:32:37,360 Speaker 2: and a few bits and pieces, but we'd have a 571 00:32:37,360 --> 00:32:39,720 Speaker 2: really good chat and I would say to people. 572 00:32:41,080 --> 00:32:43,080 Speaker 1: People would say, no, I've got to I eat too much, 573 00:32:43,160 --> 00:32:45,080 Speaker 1: you know, I moved too little, all that kind of stuff. 574 00:32:45,680 --> 00:32:48,160 Speaker 2: And I'd say, take me through a typical day of 575 00:32:48,160 --> 00:32:52,600 Speaker 2: what you put in your body. And they'd tell me breakfast, lunch, 576 00:32:52,680 --> 00:32:54,760 Speaker 2: and dinner. And I'd go, yeah, but tell me about 577 00:32:54,760 --> 00:32:58,560 Speaker 2: all the stuff you drink. And what was interesting was 578 00:32:59,720 --> 00:33:03,600 Speaker 2: a bigger percentage of people than you might imagine drink 579 00:33:04,280 --> 00:33:08,160 Speaker 2: about a thousand calories a day on top of their meals. 580 00:33:08,600 --> 00:33:12,320 Speaker 3: Right, they make coffees over here that are almost a 581 00:33:12,400 --> 00:33:15,960 Speaker 3: thousand calories in one serving. It's insane. 582 00:33:16,600 --> 00:33:18,600 Speaker 1: Yeah, And that's what people don't realize. 583 00:33:18,640 --> 00:33:21,520 Speaker 2: So I used to say to people, what we're going 584 00:33:21,600 --> 00:33:25,080 Speaker 2: to do, Like if obviously this would be a collaboration, 585 00:33:25,240 --> 00:33:28,400 Speaker 2: but I'd say, why don't we do this, Why don't 586 00:33:28,440 --> 00:33:31,400 Speaker 2: we just cut out liquid calories for one month, Let's 587 00:33:31,440 --> 00:33:33,680 Speaker 2: try that. Let's leave your food as it is, because 588 00:33:34,040 --> 00:33:36,440 Speaker 2: my experience is the more things you try and change 589 00:33:36,480 --> 00:33:39,200 Speaker 2: the more drastically, the less likely people are to maintain 590 00:33:39,240 --> 00:33:42,240 Speaker 2: it over any length of time. Right, So, or we 591 00:33:42,360 --> 00:33:46,000 Speaker 2: might even say, you know, like have one flat white 592 00:33:46,040 --> 00:33:47,960 Speaker 2: or one latte a day or whatever it is, but 593 00:33:48,040 --> 00:33:51,160 Speaker 2: we go from a thousand calories to two hundred calories 594 00:33:51,160 --> 00:33:51,680 Speaker 2: of liquid. 595 00:33:51,760 --> 00:33:53,160 Speaker 1: So that's eight hundred calories. 596 00:33:53,640 --> 00:33:56,640 Speaker 2: You know, over thirty days is twenty four thousand calories 597 00:33:56,680 --> 00:34:00,440 Speaker 2: we're cutting out without eating any less food. Just that 598 00:34:00,480 --> 00:34:06,600 Speaker 2: one little hack or that one little protocol would absolutely 599 00:34:07,360 --> 00:34:10,600 Speaker 2: create real change, you know, Like it doesn't need to 600 00:34:10,640 --> 00:34:17,040 Speaker 2: be this overwhelming kind of massive global shift in your 601 00:34:17,080 --> 00:34:21,120 Speaker 2: operating system. It might just be like, oh, you know, well, 602 00:34:21,160 --> 00:34:23,799 Speaker 2: let's say you have one or two wines a night, 603 00:34:23,840 --> 00:34:26,319 Speaker 2: and you have three coffees a day, and you have 604 00:34:26,360 --> 00:34:28,719 Speaker 2: fruit juice in the morning, and then you have phil 605 00:34:28,800 --> 00:34:30,840 Speaker 2: cream milk on your cereal and. 606 00:34:31,239 --> 00:34:34,560 Speaker 1: There's a thousand calories. Oh, there's more than a thousand calories. 607 00:34:34,880 --> 00:34:39,120 Speaker 3: So so I like that approach though, because it's kind 608 00:34:39,120 --> 00:34:42,960 Speaker 3: of like taking baby steps. That approach, to me is 609 00:34:43,000 --> 00:34:45,840 Speaker 3: pretty ingenious, and it's a good way to kind of 610 00:34:45,880 --> 00:34:48,320 Speaker 3: get people to wade into the water of a healthy 611 00:34:48,360 --> 00:34:52,399 Speaker 3: lifestyle because you're allowing them to continue to eat as 612 00:34:52,400 --> 00:34:57,520 Speaker 3: they normally would, but you're strategically looking at the beverage factor, 613 00:34:57,560 --> 00:35:02,160 Speaker 3: which is underappreciated and offmost people's radars. They don't realize 614 00:35:02,200 --> 00:35:04,640 Speaker 3: how many calories are in the sodas and some of 615 00:35:04,680 --> 00:35:09,320 Speaker 3: these you know, you know, these lattes and cappuccinos and 616 00:35:09,360 --> 00:35:14,719 Speaker 3: stuff or you know, or milkshakes or whatever. Get those 617 00:35:14,719 --> 00:35:18,800 Speaker 3: out of your life and maybe walk fifteen twenty minutes 618 00:35:18,840 --> 00:35:23,840 Speaker 3: a day. You'll see a pretty revolutionary change just with 619 00:35:23,960 --> 00:35:26,319 Speaker 3: those small modifications. 620 00:35:26,840 --> 00:35:29,480 Speaker 1: One of the things that I think, I totally agree. 621 00:35:29,520 --> 00:35:30,920 Speaker 2: One of the things I think that a lot of 622 00:35:31,360 --> 00:35:33,720 Speaker 2: I can only talk from my industry or the industry 623 00:35:33,719 --> 00:35:37,120 Speaker 2: that I came from, which is the fitness industry, is 624 00:35:37,160 --> 00:35:39,200 Speaker 2: because a lot of people who work in the fitness 625 00:35:39,200 --> 00:35:44,560 Speaker 2: industry are of course fit, strong, healthy, functional, and they 626 00:35:44,760 --> 00:35:46,520 Speaker 2: not all of them, but a lot of them have 627 00:35:46,760 --> 00:35:52,440 Speaker 2: a certain way of eating, and you know, by typical standards. 628 00:35:52,480 --> 00:35:53,279 Speaker 1: You know. It's like. 629 00:35:54,960 --> 00:35:59,680 Speaker 2: I put up a post yesterday on Instagram which is 630 00:36:00,080 --> 00:36:03,000 Speaker 2: essentially a reflection of I didn't intend to read this, 631 00:36:03,040 --> 00:36:04,680 Speaker 2: I'm just going to bring it up right now, which 632 00:36:04,719 --> 00:36:07,560 Speaker 2: is not very and so one of the things that 633 00:36:07,600 --> 00:36:11,319 Speaker 2: I've been told a thousand times is but you've got 634 00:36:11,360 --> 00:36:16,040 Speaker 2: to have a life, right And so people are inferring, 635 00:36:16,880 --> 00:36:19,480 Speaker 2: you know, and I understand it doesn't make I completely 636 00:36:19,560 --> 00:36:22,000 Speaker 2: understand why they say it, because when they look at 637 00:36:22,000 --> 00:36:25,160 Speaker 2: my life through their lens, I'm the most boring person 638 00:36:25,160 --> 00:36:28,880 Speaker 2: on the planet. I'm clearly malnourished, I clearly have no 639 00:36:29,080 --> 00:36:32,719 Speaker 2: fun I have no you know, And so I understand this. 640 00:36:33,360 --> 00:36:36,320 Speaker 2: But one of the things that trainers do sometimes also 641 00:36:36,400 --> 00:36:38,839 Speaker 2: is they look at the client through their window and 642 00:36:38,880 --> 00:36:44,719 Speaker 2: their lens and they try to take the client from 643 00:36:44,760 --> 00:36:47,680 Speaker 2: this operating system at one end of the scale to 644 00:36:47,760 --> 00:36:51,040 Speaker 2: the other end of the scale in a week, and 645 00:36:51,080 --> 00:36:52,000 Speaker 2: it just never. 646 00:36:51,840 --> 00:36:55,640 Speaker 1: Works because you too much as you've just got to you. 647 00:36:55,600 --> 00:37:04,080 Speaker 2: Know what, this is a multi dimensional challenge. This is psychological, emotional, sociological, behavioral, physiological. 648 00:37:04,560 --> 00:37:06,719 Speaker 2: You know, there are so many variables here. And what 649 00:37:06,760 --> 00:37:09,360 Speaker 2: you're trying to do is work with Sally or John 650 00:37:09,920 --> 00:37:12,759 Speaker 2: that for twenty five years have kind of been in 651 00:37:12,800 --> 00:37:18,160 Speaker 2: this reality and now you're taking them over to Disneyland 652 00:37:18,760 --> 00:37:20,120 Speaker 2: and going you've got to live here. 653 00:37:20,160 --> 00:37:20,399 Speaker 3: Now. 654 00:37:20,520 --> 00:37:22,080 Speaker 1: It just doesn't work like that. 655 00:37:22,600 --> 00:37:25,640 Speaker 2: So being able to I mean, this is something that 656 00:37:25,760 --> 00:37:29,480 Speaker 2: people roll their eyes at, but I remember I worked 657 00:37:29,480 --> 00:37:31,759 Speaker 2: with a guy who used to smoke. This is not 658 00:37:31,840 --> 00:37:35,200 Speaker 2: a lie over one hundred cigarettes a day. So basically 659 00:37:35,239 --> 00:37:36,719 Speaker 2: from when he woke up to when he went to 660 00:37:36,800 --> 00:37:41,200 Speaker 2: bed and he came to me and like, clearly so 661 00:37:41,360 --> 00:37:46,640 Speaker 2: many things to deal with. But and so our goal 662 00:37:46,719 --> 00:37:50,120 Speaker 2: in the first week, our goal was to smoke fifty 663 00:37:50,160 --> 00:37:53,960 Speaker 2: cigarettes a day. And people are like, how on earth 664 00:37:54,800 --> 00:37:56,799 Speaker 2: are you okay with that as a goal. I'm like, 665 00:37:56,880 --> 00:37:59,319 Speaker 2: that is a smart goal, you know why, because that's 666 00:37:59,360 --> 00:38:03,000 Speaker 2: half like me setting him a goal of zero or five. 667 00:38:03,600 --> 00:38:05,520 Speaker 1: He's not going to do it. He's not going to 668 00:38:05,600 --> 00:38:05,840 Speaker 1: do it. 669 00:38:05,920 --> 00:38:08,120 Speaker 3: Yeah, you need to frame it in terms of like 670 00:38:08,120 --> 00:38:10,919 Speaker 3: a percentage. They say, I got this person to cut 671 00:38:10,960 --> 00:38:13,440 Speaker 3: back fifty percent. That way, they're not here in the 672 00:38:13,480 --> 00:38:15,680 Speaker 3: raw numbers, you know, but when you hear is that 673 00:38:15,760 --> 00:38:19,879 Speaker 3: someone cut their habit in half, that's really admirable, you know, yeah, 674 00:38:19,920 --> 00:38:22,560 Speaker 3: cut it in half again, and so on, and you 675 00:38:22,600 --> 00:38:26,560 Speaker 3: know it's a reasonable approach. I think you're right. You know, 676 00:38:27,280 --> 00:38:29,319 Speaker 3: it's a really good point that you raise in that 677 00:38:29,760 --> 00:38:32,759 Speaker 3: there's no one stop shop for everybody when it comes 678 00:38:32,840 --> 00:38:35,320 Speaker 3: to changing their habits. You really do have to factor 679 00:38:35,360 --> 00:38:39,080 Speaker 3: in their holistic life. You know, what sort of experiences 680 00:38:39,200 --> 00:38:43,000 Speaker 3: have they had to have led them to their current behaviors, 681 00:38:43,200 --> 00:38:46,720 Speaker 3: and you have to work through those channels and see 682 00:38:46,760 --> 00:38:50,959 Speaker 3: things through their eyes in order to design the most 683 00:38:51,120 --> 00:38:54,800 Speaker 3: ideal program that's going to be effective in modifying behavior. 684 00:38:55,520 --> 00:38:59,760 Speaker 2: Yeah, spirit of mind, doc, trying to understand someone else's 685 00:38:59,760 --> 00:39:01,759 Speaker 2: bog of right now? All right, I've got a few 686 00:39:02,160 --> 00:39:07,040 Speaker 2: I've got a few Bill Sullivan questions for you. Firstly, 687 00:39:07,320 --> 00:39:12,920 Speaker 2: I read that I read that Adam Alter wrote basically 688 00:39:13,000 --> 00:39:18,440 Speaker 2: a testimony on your your book. So, doctor Bill's book, 689 00:39:18,640 --> 00:39:21,600 Speaker 2: if you haven't heard of it, you should by now 690 00:39:21,640 --> 00:39:22,360 Speaker 2: please to meet me. 691 00:39:22,440 --> 00:39:24,879 Speaker 1: Jean's germs and the curious forces that make us who 692 00:39:24,880 --> 00:39:25,160 Speaker 1: we are. 693 00:39:25,200 --> 00:39:29,319 Speaker 2: But I read Adam Alter's book Drunk Tank Pink, I 694 00:39:29,480 --> 00:39:31,959 Speaker 2: must have been ten years ago or eight or seven 695 00:39:32,040 --> 00:39:32,399 Speaker 2: years ago. 696 00:39:32,440 --> 00:39:35,160 Speaker 1: A long time ago now, but what a great book. 697 00:39:35,560 --> 00:39:40,400 Speaker 1: Great book, and can you have you read it? Have 698 00:39:40,480 --> 00:39:40,880 Speaker 1: you read it? 699 00:39:40,920 --> 00:39:43,120 Speaker 3: Like you It was about eight years ago or so 700 00:39:43,480 --> 00:39:44,359 Speaker 3: when it first came out. 701 00:39:44,600 --> 00:39:47,640 Speaker 2: Yeah, so I remember the story that he tells doc 702 00:39:47,840 --> 00:39:50,720 Speaker 2: of and maybe you can explain how this works. 703 00:39:50,800 --> 00:39:54,800 Speaker 1: Right. So one of the things that they there. 704 00:39:54,760 --> 00:39:59,440 Speaker 2: Was a a police station and they had these holding 705 00:39:59,520 --> 00:40:03,759 Speaker 2: cells basically for drunk people. And so it was in 706 00:40:03,800 --> 00:40:06,200 Speaker 2: this area I forget where it was, but really violent 707 00:40:06,280 --> 00:40:09,600 Speaker 2: people and they'd put all these blokes essentially men in 708 00:40:09,719 --> 00:40:13,160 Speaker 2: these holding cells overnight and there'd be punch ons and violence. 709 00:40:13,200 --> 00:40:14,960 Speaker 1: It was one of the most violent. 710 00:40:15,480 --> 00:40:20,160 Speaker 2: You know, kind of places in the States, or holding 711 00:40:20,200 --> 00:40:25,399 Speaker 2: cells in any way. They they found out that through 712 00:40:25,400 --> 00:40:27,960 Speaker 2: a range of different things, that if they painted the 713 00:40:28,000 --> 00:40:32,880 Speaker 2: holding cells pink, that it completely changed the behavior of 714 00:40:32,920 --> 00:40:37,640 Speaker 2: the prisoners or the people being held, and it totally 715 00:40:37,960 --> 00:40:42,480 Speaker 2: affected their nervous system the way they communicated that the 716 00:40:42,640 --> 00:40:47,719 Speaker 2: violence almost went to zero. Like, what an amazing thing 717 00:40:47,880 --> 00:40:51,959 Speaker 2: to think that having like being basically in a pink 718 00:40:52,040 --> 00:40:56,120 Speaker 2: room versus a gray room is going to change behavior 719 00:40:56,320 --> 00:40:56,880 Speaker 2: that much. 720 00:40:58,880 --> 00:41:01,200 Speaker 3: There's been a lot of stuff that have looked at 721 00:41:01,280 --> 00:41:06,960 Speaker 3: the behavioral effects of responding to different colors. You know, 722 00:41:07,000 --> 00:41:10,080 Speaker 3: there's been some studies that show if a boxer has 723 00:41:10,120 --> 00:41:14,080 Speaker 3: on red trunks, he tends to be perceived as much 724 00:41:14,120 --> 00:41:18,160 Speaker 3: more aggressive than say a boxer who's wearing neutral or 725 00:41:18,200 --> 00:41:19,120 Speaker 3: white trunks. 726 00:41:19,560 --> 00:41:19,880 Speaker 1: Wow. 727 00:41:20,400 --> 00:41:24,640 Speaker 3: There's been also studies and pharmaceutical companies do this where 728 00:41:24,680 --> 00:41:28,920 Speaker 3: they you know, you know how pills get their colors. 729 00:41:28,719 --> 00:41:33,600 Speaker 3: It's marketing. They give different colored pills to different people. 730 00:41:34,200 --> 00:41:37,600 Speaker 3: And I forget some of the specifics, but like a 731 00:41:37,719 --> 00:41:45,080 Speaker 3: yellow pill works fantastically better as an antidepressive depressant than 732 00:41:45,120 --> 00:41:47,920 Speaker 3: an antidepressant that had no color or some kind of 733 00:41:47,920 --> 00:41:50,560 Speaker 3: neutral color. But if you make it yellow, it seems 734 00:41:50,560 --> 00:41:53,239 Speaker 3: to work even better. So it's like there's a placebo 735 00:41:53,320 --> 00:41:57,239 Speaker 3: effect accompanying some of these drugs just because of the 736 00:41:57,239 --> 00:42:01,120 Speaker 3: color of the pill. It's pretty remarkable. And people, if 737 00:42:01,160 --> 00:42:04,360 Speaker 3: you want them to be more urgent, more productive, you 738 00:42:04,480 --> 00:42:07,759 Speaker 3: put them in a red room as opposed to like 739 00:42:07,800 --> 00:42:10,399 Speaker 3: a green room, because red has a more of an 740 00:42:10,560 --> 00:42:13,120 Speaker 3: urgency about it, and people seem to work faster and 741 00:42:13,200 --> 00:42:15,719 Speaker 3: harder in a red room and in a green room 742 00:42:15,920 --> 00:42:18,520 Speaker 3: they're kind of more chill, but they can get more creative. 743 00:42:18,920 --> 00:42:22,040 Speaker 3: So it's really interesting how those colors which we're not 744 00:42:22,080 --> 00:42:24,880 Speaker 3: even thinking about, right, it's not on our conscious radar, 745 00:42:25,320 --> 00:42:28,720 Speaker 3: but it is somehow affecting us at a subconscious level, 746 00:42:28,920 --> 00:42:31,320 Speaker 3: and it's percolating up to change our behavior. 747 00:42:32,200 --> 00:42:36,960 Speaker 2: It's amazing the amount of different stimulile variables that can 748 00:42:37,040 --> 00:42:42,720 Speaker 2: impact your psychological and or emotional system without you knowing 749 00:42:43,360 --> 00:42:46,160 Speaker 2: or without you being super conscious in the moment. Like, 750 00:42:47,560 --> 00:42:51,399 Speaker 2: I'm very affected by music, and the wrong music can 751 00:42:51,440 --> 00:42:55,920 Speaker 2: make me agitated, and the right music, when I say 752 00:42:56,000 --> 00:43:00,760 Speaker 2: right music for me can just literally make me happy. 753 00:43:01,320 --> 00:43:04,719 Speaker 3: Like well, as someone who in a is someone who 754 00:43:04,800 --> 00:43:07,080 Speaker 3: works in a gym, you have to know that music 755 00:43:07,080 --> 00:43:09,759 Speaker 3: can make a really big difference. If you're playing air 756 00:43:09,800 --> 00:43:11,880 Speaker 3: supply in the background, you're not going to have a 757 00:43:11,880 --> 00:43:12,560 Speaker 3: great workout. 758 00:43:13,120 --> 00:43:16,960 Speaker 1: Oh loud of love, God, how do you know is supply? 759 00:43:17,280 --> 00:43:20,680 Speaker 1: How old are you? 760 00:43:20,760 --> 00:43:22,680 Speaker 3: Well? How you from Australia? 761 00:43:23,080 --> 00:43:24,919 Speaker 2: Yeah, that's good, dude. Well you just got to mention 762 00:43:25,000 --> 00:43:28,440 Speaker 2: the beg's in excess and. 763 00:43:27,600 --> 00:43:30,799 Speaker 3: There you know, but like you put on you put 764 00:43:30,840 --> 00:43:34,040 Speaker 3: on survivors ay the Tiger and it's a different story. Right, 765 00:43:34,080 --> 00:43:36,480 Speaker 3: you're lifting twice as much as you used to be 766 00:43:36,520 --> 00:43:39,239 Speaker 3: able to do when you were hearing lost, lost in 767 00:43:39,320 --> 00:43:42,719 Speaker 3: Love or whatever their whatever air supplies U songs. 768 00:43:44,160 --> 00:43:46,560 Speaker 1: You're not helping You're not helping your brand by knowing 769 00:43:46,600 --> 00:43:48,399 Speaker 1: that I'm just going to say you that, I tell 770 00:43:48,440 --> 00:43:49,160 Speaker 1: you that. Hey. 771 00:43:49,920 --> 00:43:52,280 Speaker 2: So, one of the pieces of advice that I got 772 00:43:53,600 --> 00:43:56,120 Speaker 2: it's not going to surprise you growing up, was that 773 00:43:57,560 --> 00:43:59,200 Speaker 2: you need to control your emotions. 774 00:44:00,200 --> 00:44:04,399 Speaker 1: My question is is that possible? Can we control our 775 00:44:04,440 --> 00:44:07,600 Speaker 1: emotions or do we just respond to them? Or do 776 00:44:07,640 --> 00:44:11,840 Speaker 1: our emotions control us? Or is there a better question? 777 00:44:14,000 --> 00:44:17,440 Speaker 3: Well, there's certainly a lot of variability, But let me 778 00:44:17,480 --> 00:44:20,640 Speaker 3: ask you, do you think you control your emotions better 779 00:44:20,719 --> 00:44:22,360 Speaker 3: than when you were two years old? 780 00:44:24,920 --> 00:44:29,359 Speaker 2: But most people that'd say, yes, I know you, I do, Yes, 781 00:44:29,440 --> 00:44:30,000 Speaker 2: I do. 782 00:44:30,040 --> 00:44:33,120 Speaker 3: Well, yeah, then we can control our emotions. We certainly can. 783 00:44:33,880 --> 00:44:37,200 Speaker 3: So we have that capacity. Is it easy? No, No, 784 00:44:37,239 --> 00:44:44,440 Speaker 3: it's not. Emotions are primal. They surge within us beyond 785 00:44:44,440 --> 00:44:48,480 Speaker 3: our control. Okay. We can't control what emotions we feel, 786 00:44:49,040 --> 00:44:52,479 Speaker 3: can't really control what sort of thoughts pop into our mind. 787 00:44:53,080 --> 00:44:58,440 Speaker 3: But we can put a space in between those sensations 788 00:44:58,480 --> 00:45:02,880 Speaker 3: that we feel and what we're going to do about them. Okay. 789 00:45:02,960 --> 00:45:07,240 Speaker 3: That's what makes us human is we can insert this space, 790 00:45:07,320 --> 00:45:12,000 Speaker 3: this pause in between our emotions and our actions, and 791 00:45:12,040 --> 00:45:16,680 Speaker 3: we can take the time to evaluate the emotion and 792 00:45:16,960 --> 00:45:21,840 Speaker 3: produce the corresponding reaction that is appropriate to it. Okay. 793 00:45:22,040 --> 00:45:27,120 Speaker 3: The classic example is that and we're by we're strongly 794 00:45:27,160 --> 00:45:30,440 Speaker 3: biased towards paying attention to our negative emotions. I think 795 00:45:30,520 --> 00:45:34,719 Speaker 3: everyone is pretty aware of that. But that's a survival mechanism. 796 00:45:35,080 --> 00:45:37,960 Speaker 3: Because if you're walking through the woods and you hear 797 00:45:38,080 --> 00:45:42,279 Speaker 3: rustling in the bushes, okay, your first instinct is probably like, oh, 798 00:45:42,320 --> 00:45:44,319 Speaker 3: this is an animal or a snake or something out 799 00:45:44,360 --> 00:45:46,680 Speaker 3: to get me, and you might you might run and 800 00:45:46,719 --> 00:45:49,640 Speaker 3: take off, but it could have just been the wind. Okay. 801 00:45:49,960 --> 00:45:53,279 Speaker 3: So again, the beauty of being human is that we 802 00:45:53,280 --> 00:45:58,360 Speaker 3: hear these noises, these suspicious noises, we can evaluate that 803 00:45:58,440 --> 00:46:01,719 Speaker 3: emotion in the context of the situation and see if 804 00:46:01,719 --> 00:46:04,440 Speaker 3: it's a real threat or not. If it's a threat, 805 00:46:04,440 --> 00:46:06,200 Speaker 3: we'll run. If it's not, we can deal with it 806 00:46:06,239 --> 00:46:06,960 Speaker 3: more rationally. 807 00:46:08,400 --> 00:46:08,720 Speaker 1: Yes. 808 00:46:08,840 --> 00:46:12,960 Speaker 3: So it's just like the old stoic philosophers used to say, 809 00:46:13,360 --> 00:46:16,560 Speaker 3: there's nothing wrong with emotions. It's natural to feel them. 810 00:46:16,600 --> 00:46:20,000 Speaker 3: You shouldn't feel guilty or ashamed for feeling those emotions, 811 00:46:20,360 --> 00:46:27,120 Speaker 3: but you are responsible for the behavior that was inspired 812 00:46:27,120 --> 00:46:29,759 Speaker 3: by those emotions, and you have time, you have a 813 00:46:29,800 --> 00:46:33,080 Speaker 3: space that you can put in there to evaluate the 814 00:46:33,120 --> 00:46:35,799 Speaker 3: emotion and see what the appropriate response is going to be. 815 00:46:36,920 --> 00:46:38,960 Speaker 1: Do you think this is a very personal question, but 816 00:46:39,160 --> 00:46:42,719 Speaker 1: do you think that you've gotten more courageous or more 817 00:46:42,800 --> 00:46:48,560 Speaker 1: fearful as you've gotten older, or or neither you kind 818 00:46:48,560 --> 00:46:49,319 Speaker 1: of status quo? 819 00:46:50,600 --> 00:46:54,319 Speaker 3: I think it probably depends a lot on the situation, right. 820 00:46:55,200 --> 00:46:58,440 Speaker 3: You know, there are some things that I think I'm 821 00:46:58,520 --> 00:47:03,320 Speaker 3: probably much more braver about, and then there's other things 822 00:47:03,320 --> 00:47:07,520 Speaker 3: that I'm still very cautious about. So so yeah, it 823 00:47:07,560 --> 00:47:10,279 Speaker 3: really depends on the nature of the specific situation. I 824 00:47:10,320 --> 00:47:10,759 Speaker 3: would see. 825 00:47:11,719 --> 00:47:15,719 Speaker 2: So I watched you on a video and you're on 826 00:47:16,760 --> 00:47:21,320 Speaker 2: You're on television, and you said, if you take intestinal 827 00:47:21,520 --> 00:47:25,480 Speaker 2: bacteria from a brave mouse and you put it in 828 00:47:25,520 --> 00:47:31,120 Speaker 2: a shy mouse, then the shy mouse becomes braver and 829 00:47:32,440 --> 00:47:33,160 Speaker 2: less fearful. 830 00:47:33,239 --> 00:47:36,560 Speaker 3: I think something like one of it's one of my 831 00:47:36,680 --> 00:47:44,800 Speaker 3: favorite experiments. I mean what I mean, what what It's crazy, 832 00:47:44,840 --> 00:47:45,120 Speaker 3: isn't it? 833 00:47:45,600 --> 00:47:47,000 Speaker 1: And is that? I mean? 834 00:47:47,040 --> 00:47:51,080 Speaker 2: I know, can we could we make a race of 835 00:47:51,680 --> 00:47:57,240 Speaker 2: super soldiers just by transplanting intestinal bacteria from great people. 836 00:47:58,600 --> 00:48:04,080 Speaker 3: I would I would, I would guess no, because in 837 00:48:04,239 --> 00:48:09,080 Speaker 3: these studies, and you describe the study quite well, you know, 838 00:48:09,360 --> 00:48:13,759 Speaker 3: mice have different personalities. Different strains of mice have different personalities. 839 00:48:13,800 --> 00:48:17,120 Speaker 3: Some are more timid and some take greater risks. And 840 00:48:17,280 --> 00:48:20,160 Speaker 3: just as you said, if you take the intestinal bacteria 841 00:48:20,600 --> 00:48:23,880 Speaker 3: from the brave mouse and put it into the cowardly mouse, 842 00:48:24,440 --> 00:48:27,960 Speaker 3: that cowardly mouse starts to become a little more brave. 843 00:48:28,719 --> 00:48:32,560 Speaker 3: And we see these types of behavioral changes almost every 844 00:48:32,719 --> 00:48:39,240 Speaker 3: time we do these sorts of intestinal microbiota transplant experiments. Okay, 845 00:48:39,640 --> 00:48:42,920 Speaker 3: here's one that has been done in humans, and this 846 00:48:42,960 --> 00:48:46,000 Speaker 3: one will blow your mind too. There are people who 847 00:48:46,400 --> 00:48:49,880 Speaker 3: have certain type of cancer and they're all treated with 848 00:48:49,920 --> 00:48:53,239 Speaker 3: the same type of chemotherapy. Some people respond to it, 849 00:48:53,320 --> 00:48:57,120 Speaker 3: some people don't. But if you take the bacteria from 850 00:48:57,200 --> 00:49:02,520 Speaker 3: the people who respond positively to the key chemotherapeutic treatment 851 00:49:02,920 --> 00:49:05,560 Speaker 3: put it into the patients that aren't responding to it, 852 00:49:06,080 --> 00:49:12,000 Speaker 3: those patients suddenly respond to the chemotherapy. Wow is crazy. 853 00:49:12,120 --> 00:49:16,719 Speaker 3: So what this is telling us is there's something that 854 00:49:16,840 --> 00:49:21,200 Speaker 3: the trillions of different bacteria in our guts are producing 855 00:49:21,280 --> 00:49:25,040 Speaker 3: a metabolite of some kind, you know, basically a chemical 856 00:49:25,080 --> 00:49:28,680 Speaker 3: at the end of the day that is bestowing upon us, 857 00:49:28,880 --> 00:49:32,319 Speaker 3: you know, this magical property that we previously didn't have. 858 00:49:32,960 --> 00:49:35,239 Speaker 3: And it can work in bad ways too. You know, 859 00:49:35,280 --> 00:49:39,800 Speaker 3: there's there's people who have undergone fecal transplantation to actually 860 00:49:39,920 --> 00:49:44,480 Speaker 3: treat a superinfection called sea diff. Okay, this is a 861 00:49:44,520 --> 00:49:49,560 Speaker 3: colitis infection that many people who are on prolonged antibiotics 862 00:49:49,640 --> 00:49:53,759 Speaker 3: suffer from, and this bacterial species called sea diff is 863 00:49:53,840 --> 00:49:58,439 Speaker 3: naturally resistant to most antibiotics. What has what can cure 864 00:49:58,560 --> 00:50:01,080 Speaker 3: ninety five percent of those cases is if you take 865 00:50:02,120 --> 00:50:05,560 Speaker 3: intestinal bacteria from a healthy person put it into that 866 00:50:05,640 --> 00:50:11,200 Speaker 3: person with the superinfection, superinfection has gone almost immediately. It's 867 00:50:11,440 --> 00:50:14,880 Speaker 3: crazy that it works so well. However, there is a catch. 868 00:50:15,800 --> 00:50:18,319 Speaker 3: The donors of this bacteria need to be screened very 869 00:50:18,320 --> 00:50:23,319 Speaker 3: carefully because they can also transmit pathogens with these intestinal bacteria. 870 00:50:23,680 --> 00:50:27,120 Speaker 3: And there's also a couple cases where allergies were transferred, 871 00:50:27,640 --> 00:50:31,759 Speaker 3: and I think at least one case where depression was transferred. So, 872 00:50:33,239 --> 00:50:36,520 Speaker 3: you know, it's a marvelous concept and I think it's 873 00:50:36,560 --> 00:50:39,920 Speaker 3: going to be a really big piece of the future 874 00:50:40,000 --> 00:50:42,359 Speaker 3: medical pie, if you will. I think this is going 875 00:50:42,440 --> 00:50:46,680 Speaker 3: to be a mainstream therapy, maybe forty fifty years down 876 00:50:46,680 --> 00:50:50,840 Speaker 3: the road, remodeling the microbiome, so to speak. But there 877 00:50:50,920 --> 00:50:53,799 Speaker 3: are some caveats that are pretty serious we need to 878 00:50:53,800 --> 00:50:56,279 Speaker 3: pay attention to if we're going to engage in this 879 00:50:56,360 --> 00:51:00,920 Speaker 3: sort of therapeutic. But yeah, it's pretty fat. You know. 880 00:51:00,960 --> 00:51:04,880 Speaker 3: Another thing that can make people take more risks is 881 00:51:04,920 --> 00:51:08,480 Speaker 3: that parasite that we've talked about before called toxoplasma GANDHII 882 00:51:08,840 --> 00:51:12,239 Speaker 3: that we study in my laboratory that has infected one. 883 00:51:13,680 --> 00:51:16,759 Speaker 3: That's the one from cats. No, you get it. You 884 00:51:16,800 --> 00:51:19,319 Speaker 3: get it from cat feces, not the urine. You can. 885 00:51:19,400 --> 00:51:23,200 Speaker 3: You can drink all the cat urine you want, but 886 00:51:23,360 --> 00:51:26,600 Speaker 3: it's the cat feces that that is dangerous. 887 00:51:26,880 --> 00:51:27,279 Speaker 2: So you. 888 00:51:29,040 --> 00:51:30,640 Speaker 1: Just did our promo, Thanks for that. 889 00:51:33,320 --> 00:51:40,000 Speaker 3: Well, yeah, always happy to help. But yeah, the infected 890 00:51:40,000 --> 00:51:43,920 Speaker 3: cats can spread it through their stool, okay, But you 891 00:51:43,960 --> 00:51:48,640 Speaker 3: can also get it from raw under cooked meat, contaminated water, 892 00:51:48,680 --> 00:51:50,919 Speaker 3: and there's multiple ways to get it. But the point 893 00:51:50,960 --> 00:51:53,319 Speaker 3: I'm trying to make is that when you do get this, 894 00:51:53,400 --> 00:51:55,520 Speaker 3: you don't really get sick. But the parasite will live 895 00:51:55,560 --> 00:51:57,839 Speaker 3: in your brain for the rest of your life. And 896 00:51:57,920 --> 00:52:01,040 Speaker 3: there are some really compelling studies that correlate the presence 897 00:52:01,080 --> 00:52:04,160 Speaker 3: of that parasite in the brain to an increase in 898 00:52:04,280 --> 00:52:07,840 Speaker 3: risk taking activity. You know, you're more brave, you're more reckless. 899 00:52:09,239 --> 00:52:12,640 Speaker 3: So there's some really interesting things that are beyond genetics, 900 00:52:12,680 --> 00:52:15,279 Speaker 3: because there's a genetic component to risk taking behavior as 901 00:52:15,320 --> 00:52:19,000 Speaker 3: well that factor into the equation as to whether someone 902 00:52:19,120 --> 00:52:22,680 Speaker 3: is timid or risk taking. But what in the world 903 00:52:22,680 --> 00:52:26,360 Speaker 3: those bacteria are doing in that original experiment you described, 904 00:52:26,520 --> 00:52:29,240 Speaker 3: We have no idea at the moment, but it opens 905 00:52:29,239 --> 00:52:31,360 Speaker 3: the doors to some fascinating science. 906 00:52:33,560 --> 00:52:36,200 Speaker 2: Yeah, there's just so much we still I mean, there's 907 00:52:36,200 --> 00:52:37,960 Speaker 2: so much we know now that we didn't, but there's 908 00:52:38,000 --> 00:52:40,840 Speaker 2: still so much that we don't like. And it's interesting 909 00:52:40,920 --> 00:52:44,000 Speaker 2: when we know what the out or what a potential 910 00:52:45,120 --> 00:52:49,640 Speaker 2: outcome of some intervention or some treatment or whatever is, 911 00:52:49,680 --> 00:52:51,880 Speaker 2: but we don't know the mechanism and we know you 912 00:52:51,960 --> 00:52:53,879 Speaker 2: do this and this happens, but we don't know why. 913 00:52:54,560 --> 00:52:56,920 Speaker 1: It's the That's the bit we need to get right, 914 00:52:57,080 --> 00:52:57,560 Speaker 1: is the why. 915 00:52:58,360 --> 00:53:00,920 Speaker 3: But that's the great starting point, and that's why I 916 00:53:00,960 --> 00:53:04,160 Speaker 3: love working in science because there is no end to 917 00:53:04,239 --> 00:53:08,680 Speaker 3: the list of interesting observations that people have made, but 918 00:53:08,840 --> 00:53:11,880 Speaker 3: each one opens up a whole new can of worms, 919 00:53:11,920 --> 00:53:15,239 Speaker 3: a whole new you know, treasure trove of questions that 920 00:53:15,280 --> 00:53:19,240 Speaker 3: we can then go address. And that's what's so endlessly 921 00:53:19,320 --> 00:53:20,799 Speaker 3: fascinating about my job. 922 00:53:22,440 --> 00:53:27,239 Speaker 2: I know how many things have been discovered, you know. 923 00:53:27,360 --> 00:53:31,160 Speaker 2: Accidentally I was talking to on the show today. We're 924 00:53:31,200 --> 00:53:35,239 Speaker 2: recording this on the twenty third, which is Monday. I'm 925 00:53:35,280 --> 00:53:39,640 Speaker 2: just blanking. What's it called? What's that I'm blanking? What's 926 00:53:39,680 --> 00:53:42,120 Speaker 2: the erectile dysfunction drug called? 927 00:53:42,840 --> 00:53:43,680 Speaker 3: Oh? Viagra? 928 00:53:44,000 --> 00:53:45,200 Speaker 1: Yeah, viagra? Sorry. 929 00:53:45,280 --> 00:53:49,840 Speaker 2: I was talking to Alex. Doctor Alex, who's a neurosurgeon, 930 00:53:50,239 --> 00:53:52,520 Speaker 2: a friend of mine. He comes on the show. You 931 00:53:52,600 --> 00:53:54,400 Speaker 2: two would have a great We should both get you 932 00:53:54,440 --> 00:53:58,279 Speaker 2: on one day. But oh, he's great. He's great. 933 00:53:58,320 --> 00:54:00,560 Speaker 3: I love to pick the brain of a neuros scientists. 934 00:54:03,040 --> 00:54:06,080 Speaker 1: I say, what you did there, We'll put a whip 935 00:54:06,160 --> 00:54:07,279 Speaker 1: cracking sound in there. 936 00:54:09,560 --> 00:54:12,359 Speaker 2: But we were talking about how I mean that, like 937 00:54:12,440 --> 00:54:15,960 Speaker 2: biographer example, was developed as I think a blood treasure 938 00:54:16,200 --> 00:54:19,799 Speaker 2: pressure treatment or something similar, and it just had this 939 00:54:20,360 --> 00:54:24,319 Speaker 2: weird byproduct that pharmaceutical companies went, hey, look what we 940 00:54:24,400 --> 00:54:27,360 Speaker 2: did we just cured one of the greatest man problems 941 00:54:27,360 --> 00:54:28,000 Speaker 2: of old time? 942 00:54:28,200 --> 00:54:28,560 Speaker 1: Or not? 943 00:54:28,600 --> 00:54:32,800 Speaker 3: Really right? No, you're exactly right. It was a blood 944 00:54:32,840 --> 00:54:35,680 Speaker 3: pressure medication. That was what it was designed to do. 945 00:54:36,040 --> 00:54:40,200 Speaker 3: But as they started putting it into clinical trials, men 946 00:54:40,320 --> 00:54:44,000 Speaker 3: started exhibiting this peculiar side effect of erections that would 947 00:54:44,040 --> 00:54:47,600 Speaker 3: just appear spontaneously and wouldn't go away. And they started 948 00:54:47,640 --> 00:54:50,359 Speaker 3: reporting these to the nurses that were taking care of them, 949 00:54:50,880 --> 00:54:54,520 Speaker 3: and that obviously got back to phiser people, and I'm 950 00:54:54,520 --> 00:54:57,120 Speaker 3: sure that people who were interested in high blood pressure 951 00:54:57,120 --> 00:55:03,240 Speaker 3: were really disappointed. So geniuses in marketing or whatever department 952 00:55:03,239 --> 00:55:09,280 Speaker 3: were like talk about, you know, taking lemons and making lemonade. 953 00:55:09,440 --> 00:55:16,320 Speaker 3: My god, they turned into a blockbuster drug. They invented this, 954 00:55:16,320 --> 00:55:20,560 Speaker 3: this syndrome that didn't even have a name in order 955 00:55:20,640 --> 00:55:23,520 Speaker 3: to sell this pill that was going to go into 956 00:55:23,560 --> 00:55:26,080 Speaker 3: the trash can because it was not doing what it 957 00:55:26,160 --> 00:55:30,200 Speaker 3: was intended to do. Yeah. Wow, they ran away with 958 00:55:30,239 --> 00:55:31,000 Speaker 3: that side effect. 959 00:55:31,040 --> 00:55:31,279 Speaker 1: It was. 960 00:55:31,960 --> 00:55:32,880 Speaker 3: It's quite a story. 961 00:55:33,520 --> 00:55:36,160 Speaker 2: And think about the potential, Like if it was efficient 962 00:55:36,280 --> 00:55:40,600 Speaker 2: as a blood pressure treatment, they might have made one X, 963 00:55:40,960 --> 00:55:46,240 Speaker 2: but with Viagra that made a thousand X, so probably 964 00:55:46,239 --> 00:55:47,120 Speaker 2: a million X. 965 00:55:47,320 --> 00:55:49,120 Speaker 1: You know, in terms of that. 966 00:55:49,239 --> 00:55:52,520 Speaker 2: Yeah, exactly, lemons to lemonade a couple of quick questions. 967 00:55:52,560 --> 00:55:53,960 Speaker 1: Have you got a little bit or have you got 968 00:55:54,000 --> 00:55:54,200 Speaker 1: to go? 969 00:55:55,080 --> 00:55:56,640 Speaker 3: No, I'm good, this is fun. 970 00:55:56,680 --> 00:55:57,960 Speaker 1: So one of the. 971 00:55:57,920 --> 00:56:01,280 Speaker 2: Realities of living in Australia. Well, this is my version. 972 00:56:01,280 --> 00:56:06,279 Speaker 2: I've been here for a while now. Is that not all? 973 00:56:06,520 --> 00:56:09,480 Speaker 2: But and maybe it's changing a little bit, but a 974 00:56:09,520 --> 00:56:13,720 Speaker 2: lot of doctors hand out antibiotics like lollies. 975 00:56:13,840 --> 00:56:15,799 Speaker 3: Right, that's too bad. 976 00:56:16,719 --> 00:56:17,840 Speaker 1: This is not a good. 977 00:56:19,120 --> 00:56:22,000 Speaker 2: I'm not proud to say this, but I reckon I've 978 00:56:22,040 --> 00:56:26,239 Speaker 2: been on antibiotics at least twenty times in my life, right, 979 00:56:26,280 --> 00:56:28,279 Speaker 2: which is not I know that's not a great thing. 980 00:56:28,640 --> 00:56:32,000 Speaker 3: Well, that might not necessarily be a bad thing. Antibiotics 981 00:56:32,000 --> 00:56:34,600 Speaker 3: are not evil per se, and sometimes they're life saving, 982 00:56:35,120 --> 00:56:38,319 Speaker 3: but there is a tendency in Western civilization to over 983 00:56:38,360 --> 00:56:39,120 Speaker 3: prescribe them. 984 00:56:39,560 --> 00:56:40,279 Speaker 1: Yeah, I feel that. 985 00:56:40,480 --> 00:56:43,920 Speaker 2: So that's my point is just I don't I'm not 986 00:56:44,000 --> 00:56:46,480 Speaker 2: asking a specific question, but I'd love you just to 987 00:56:46,560 --> 00:56:49,759 Speaker 2: riff on antibiotics and give us like a bit of 988 00:56:50,920 --> 00:56:54,640 Speaker 2: your thoughts on antibiotics. And yes, of course they obviously 989 00:56:54,800 --> 00:56:57,160 Speaker 2: serve a very legitimate medical purpose. 990 00:56:57,280 --> 00:57:00,880 Speaker 1: We know that, but in general, have a chat for 991 00:57:00,960 --> 00:57:02,000 Speaker 1: us about that, if you would. 992 00:57:02,719 --> 00:57:06,399 Speaker 3: Yeah, yeah. I lecture on this to medical students every year. 993 00:57:06,760 --> 00:57:09,600 Speaker 3: Antibiotics are some of the most precious drugs that have 994 00:57:09,719 --> 00:57:12,799 Speaker 3: ever been developed. In fact, the first, well the one 995 00:57:12,800 --> 00:57:16,360 Speaker 3: that most people ascribed to be the first, was penicillin, 996 00:57:16,680 --> 00:57:19,360 Speaker 3: and it was literally called the miracle drug because it 997 00:57:19,440 --> 00:57:24,600 Speaker 3: was saving people from fatal infections that we never had 998 00:57:24,680 --> 00:57:29,160 Speaker 3: cure for before. These were truly miraculous treatments, and it's 999 00:57:29,160 --> 00:57:32,160 Speaker 3: even been suggested that the advent of penicillin helped the 1000 00:57:32,160 --> 00:57:35,480 Speaker 3: Allies win World War Two. It was that important in 1001 00:57:35,560 --> 00:57:38,880 Speaker 3: order to save soldiers on the battlefield and soldiers from 1002 00:57:40,280 --> 00:57:43,000 Speaker 3: suffering from gangreen so they could get back on the 1003 00:57:43,560 --> 00:57:47,120 Speaker 3: not gangreen, gonorrhea. Actually they were suffering from gonorrhea. They 1004 00:57:47,160 --> 00:57:48,600 Speaker 3: wanted to clear that up so they can get them 1005 00:57:48,640 --> 00:57:53,880 Speaker 3: back onto the battlefield. But anyway, these are precious, precious drugs. 1006 00:57:54,000 --> 00:57:57,920 Speaker 3: But as Alexander Fleming, who discovered penicillin, suggested during his 1007 00:57:57,960 --> 00:58:00,600 Speaker 3: Nobel Prize speech, if we're not careful with these drugs, 1008 00:58:01,440 --> 00:58:04,680 Speaker 3: the bacteria are going to evolve resistance to them, and 1009 00:58:04,880 --> 00:58:08,040 Speaker 3: boy was he right. Within five years of penicillin being 1010 00:58:08,080 --> 00:58:12,080 Speaker 3: on the market, we started seeing widespread resistance to that antibiotic, 1011 00:58:12,320 --> 00:58:16,280 Speaker 3: and that's a very scary thing. So antibiotic research exploded 1012 00:58:16,600 --> 00:58:20,080 Speaker 3: in the subsequent decades up until about the seventies, and 1013 00:58:20,080 --> 00:58:23,120 Speaker 3: then it started to taper off. And as a consequence, 1014 00:58:23,160 --> 00:58:26,560 Speaker 3: we had dozens and dozens of wonderful antibiotics that we 1015 00:58:26,600 --> 00:58:30,720 Speaker 3: could give patients and in many cases they cured their 1016 00:58:30,760 --> 00:58:33,600 Speaker 3: infection and in some cases it saved their lives. These 1017 00:58:33,640 --> 00:58:37,640 Speaker 3: are literally life saving drugs. So what's the problem if 1018 00:58:37,640 --> 00:58:40,479 Speaker 3: he over prescribed them. If we give them when they're 1019 00:58:40,480 --> 00:58:45,360 Speaker 3: not needed, a couple bad things happen. First of all, 1020 00:58:45,520 --> 00:58:49,880 Speaker 3: we create environments where bacteria can evolve resistance. Okay, the 1021 00:58:50,000 --> 00:58:53,280 Speaker 3: more often we use a drug, the higher the probability 1022 00:58:53,360 --> 00:58:56,360 Speaker 3: that the germ is going to develop resistance. And if 1023 00:58:56,360 --> 00:59:01,840 Speaker 3: it develops resistance to a series of antibiotics, we can 1024 00:59:01,960 --> 00:59:05,880 Speaker 3: literally run out of drugs to treat that pathogen. There 1025 00:59:05,920 --> 00:59:08,240 Speaker 3: will be nothing left in the medicine cabinet to get 1026 00:59:08,320 --> 00:59:11,240 Speaker 3: rid of that infection. So this leads to what's called 1027 00:59:11,280 --> 00:59:15,200 Speaker 3: the so called superbugs that are resistant to multiple antibiotics. 1028 00:59:15,280 --> 00:59:18,600 Speaker 3: That's a big problem. Right now. Sixty five thousand people 1029 00:59:18,680 --> 00:59:22,040 Speaker 3: die in the United States each year from these superinfections 1030 00:59:22,080 --> 00:59:25,240 Speaker 3: because doctors can only shrug their shoulders and say, we 1031 00:59:25,320 --> 00:59:28,800 Speaker 3: have no antibiotics left that will treat this infection. It's 1032 00:59:28,840 --> 00:59:33,960 Speaker 3: resistant to all of them, and unfortunately, pharmaceutical companies are 1033 00:59:33,960 --> 00:59:39,200 Speaker 3: not investing in new antibiotic research right now. So that's 1034 00:59:39,240 --> 00:59:41,360 Speaker 3: a whole other can of worms we can talk about later, 1035 00:59:41,400 --> 00:59:45,000 Speaker 3: but anti microbial resistance is one of the number one 1036 00:59:45,080 --> 00:59:47,200 Speaker 3: things we want to be aware of when we give 1037 00:59:47,280 --> 00:59:51,800 Speaker 3: antibiotics to people. The second problem relates to the microbiome 1038 00:59:51,840 --> 00:59:57,400 Speaker 3: that we talked about before, so there's been some suggestive studies. 1039 00:59:57,480 --> 01:00:00,400 Speaker 3: I don't want to say that this is decided science, 1040 01:00:00,440 --> 01:00:05,600 Speaker 3: but if we give antibiotics to infants and young children 1041 01:00:05,960 --> 01:00:11,600 Speaker 3: for prolonged periods of time, that disturbs their microbial environment 1042 01:00:11,680 --> 01:00:14,600 Speaker 3: in their gut, and this can lead to negative health 1043 01:00:14,640 --> 01:00:17,480 Speaker 3: consequences as they grow up. It's been linked to things 1044 01:00:17,560 --> 01:00:26,680 Speaker 3: like allergy, social behavior problems, inflammation, and things like that. 1045 01:00:27,280 --> 01:00:31,160 Speaker 3: So giving antibiotics, especially at a young age, can be 1046 01:00:31,240 --> 01:00:33,600 Speaker 3: life saving, but you want to make sure there are 1047 01:00:33,600 --> 01:00:35,880 Speaker 3: as short term as possible and that you're not giving 1048 01:00:35,880 --> 01:00:38,000 Speaker 3: them for a long time, just in case there are 1049 01:00:38,040 --> 01:00:42,600 Speaker 3: some long term effects associated with damage that the microbiotic receive. 1050 01:00:43,480 --> 01:00:46,680 Speaker 3: This can happen in adults too. I already mentioned earlier. 1051 01:00:46,760 --> 01:00:50,280 Speaker 3: People who are on prolonged antibiotics are more susceptible to 1052 01:00:50,800 --> 01:00:55,720 Speaker 3: see diff infections, and that's naturally resistant to antibiotics, and 1053 01:00:55,880 --> 01:00:58,680 Speaker 3: it takes some really drastic measures in order to treat 1054 01:00:58,720 --> 01:01:04,360 Speaker 3: this horrible infection. So those are some of the main 1055 01:01:04,480 --> 01:01:07,720 Speaker 3: reasons why we are a little more leery about giving 1056 01:01:07,760 --> 01:01:12,320 Speaker 3: antibiotics out liberally. They're life saving medicines, but we want 1057 01:01:12,360 --> 01:01:17,120 Speaker 3: to use them only when necessary. Antibiotics do nothing against 1058 01:01:17,200 --> 01:01:20,360 Speaker 3: viral infections, for example, So if you go to your 1059 01:01:20,440 --> 01:01:25,040 Speaker 3: doctor with your sneezing and sniffling and they don't know 1060 01:01:25,080 --> 01:01:29,120 Speaker 3: if it's a virus or a bacterial infection, antibiotics should 1061 01:01:29,200 --> 01:01:32,400 Speaker 3: not be given, Okay, it should. They should only be 1062 01:01:32,480 --> 01:01:36,040 Speaker 3: given if there's a high probability that the illness is 1063 01:01:36,280 --> 01:01:39,280 Speaker 3: in fact caused by a bacteria, Because if it's caused 1064 01:01:39,320 --> 01:01:42,440 Speaker 3: by a virus, those antibiotics are not going to do anything. 1065 01:01:43,480 --> 01:01:46,920 Speaker 2: Wow, and we're just putting something in our body that 1066 01:01:46,920 --> 01:01:47,840 Speaker 2: that our body. 1067 01:01:47,560 --> 01:01:51,560 Speaker 3: Doesn't Yeah, you're taking it unnecessarily and what goes into 1068 01:01:51,600 --> 01:01:54,720 Speaker 3: our body. Craig also goes into the sewer system, it 1069 01:01:54,760 --> 01:01:57,200 Speaker 3: goes into the waste which gets out into the environment. 1070 01:01:57,640 --> 01:02:01,840 Speaker 3: So a scientists have sampled many places around the environment, 1071 01:02:01,880 --> 01:02:05,200 Speaker 3: at least in the United States, and antibiotics, the ones 1072 01:02:05,240 --> 01:02:08,720 Speaker 3: that we make as human beings, are out there everywhere. 1073 01:02:09,120 --> 01:02:11,680 Speaker 3: And that's a really sad thing to see because if 1074 01:02:11,680 --> 01:02:14,720 Speaker 3: the antibiotics are out there in the environment, then there 1075 01:02:14,760 --> 01:02:18,080 Speaker 3: are germs out there that are resistant to those antibiotics, 1076 01:02:18,360 --> 01:02:20,920 Speaker 3: and then then when they start to infect animals and humans, 1077 01:02:20,920 --> 01:02:22,640 Speaker 3: we have a major problem on our hands. 1078 01:02:23,040 --> 01:02:23,400 Speaker 1: Wow. 1079 01:02:24,400 --> 01:02:28,000 Speaker 2: Hey, one of the things that I've spoken about on 1080 01:02:28,000 --> 01:02:31,040 Speaker 2: this show, not with you, but with another regular guest. 1081 01:02:31,120 --> 01:02:34,880 Speaker 2: We have who's an Australian author and researcher, David Gillespie, 1082 01:02:34,920 --> 01:02:37,000 Speaker 2: who's a gun. He's written a book, a bunch of books, 1083 01:02:37,000 --> 01:02:42,360 Speaker 2: but he's obsessed with sociopathy, right, with sociopaths. And I 1084 01:02:42,400 --> 01:02:44,120 Speaker 2: wanted to ask you and this. 1085 01:02:44,440 --> 01:02:47,840 Speaker 3: He should come over here and comment on our election. 1086 01:02:48,600 --> 01:02:49,280 Speaker 1: Oh he's. 1087 01:02:50,920 --> 01:02:55,640 Speaker 2: He's a genius, but he talks about toxic box bosses 1088 01:02:55,720 --> 01:02:56,560 Speaker 2: and a whole lot of stuff. 1089 01:02:56,560 --> 01:02:59,640 Speaker 1: But anyway, so if one end of that kind of spectrum, 1090 01:02:59,680 --> 01:03:00,160 Speaker 1: we've got. 1091 01:03:02,760 --> 01:03:07,440 Speaker 2: Sociopaths, psychopaths and At the other end of that scale, 1092 01:03:07,480 --> 01:03:12,400 Speaker 2: we've got, you know, compassion, people who are predisposed to 1093 01:03:12,440 --> 01:03:14,400 Speaker 2: being very kind, very compassionate. 1094 01:03:14,800 --> 01:03:17,720 Speaker 1: Do you think that Do you think that there's a 1095 01:03:17,800 --> 01:03:22,680 Speaker 1: genetic component to compassion and what we might broadly call 1096 01:03:22,840 --> 01:03:26,280 Speaker 1: morality and all that kind of stuff. Is that how 1097 01:03:26,400 --> 01:03:28,600 Speaker 1: moral someone is. Do you think that's more. 1098 01:03:28,480 --> 01:03:31,960 Speaker 2: About whatever morality means or ethics, or do you think 1099 01:03:31,960 --> 01:03:34,760 Speaker 2: that's more about environment and upbringing or is there. 1100 01:03:34,600 --> 01:03:35,960 Speaker 1: A genetic component to that? 1101 01:03:36,120 --> 01:03:40,280 Speaker 3: Also, I don't think it's in either. Org there's clearly 1102 01:03:40,320 --> 01:03:44,200 Speaker 3: genes that have been implicated in aggressive and violent behavior. Okay, 1103 01:03:44,240 --> 01:03:48,200 Speaker 3: this has been shown pretty convincingly in mouse models and 1104 01:03:48,400 --> 01:03:51,240 Speaker 3: in some human families where aggression seems to be hereditary. 1105 01:03:51,280 --> 01:03:54,200 Speaker 3: Think like the generations of psychopaths that are born in 1106 01:03:54,240 --> 01:03:57,600 Speaker 3: certain family lineages that can be traced to genetic defects. 1107 01:03:57,840 --> 01:04:01,439 Speaker 3: But what those genetic defects really mean is that there 1108 01:04:01,520 --> 01:04:03,760 Speaker 3: is a change in the brain structure or the brain 1109 01:04:03,840 --> 01:04:08,520 Speaker 3: chemistry in these individuals that make them abnormal. Okay, but 1110 01:04:08,560 --> 01:04:11,560 Speaker 3: there's many, many other reasons that people can snap and 1111 01:04:11,600 --> 01:04:15,000 Speaker 3: go psychopathic, which include any sort of damage to the 1112 01:04:15,000 --> 01:04:19,640 Speaker 3: brain which can be brought upon by infection, trauma like concussions, 1113 01:04:21,600 --> 01:04:24,640 Speaker 3: old age can do it. You know, dementia can sometimes 1114 01:04:24,640 --> 01:04:27,760 Speaker 3: make people violent. There's a whole host of things that 1115 01:04:27,760 --> 01:04:30,040 Speaker 3: can happen to the brain that have nothing to do 1116 01:04:30,080 --> 01:04:33,080 Speaker 3: with genetics, because the brain was perfectly fine before it 1117 01:04:33,120 --> 01:04:40,400 Speaker 3: got injured in some way and then it produced psychopathic behavior. So, 1118 01:04:41,160 --> 01:04:42,760 Speaker 3: and that's not to say that the environment is not 1119 01:04:42,800 --> 01:04:46,680 Speaker 3: important at all, Craig. There's the phenomenon of epigenetics, and 1120 01:04:46,720 --> 01:04:51,200 Speaker 3: it's been shown very clearly that children who are exposed 1121 01:04:51,200 --> 01:04:55,640 Speaker 3: to adverse childhood experiences or aces as they're known in psychology, 1122 01:04:56,360 --> 01:04:59,680 Speaker 3: have a propensity not always, but they have a propensity 1123 01:05:00,120 --> 01:05:05,120 Speaker 3: grow up with behavioral problems, you know, antisocial behaviors, sometimes 1124 01:05:05,200 --> 01:05:09,320 Speaker 3: violent and aggression. And this has been linked to epigenetic 1125 01:05:09,440 --> 01:05:12,919 Speaker 3: changes that happen because of the environment they grew up in. 1126 01:05:13,400 --> 01:05:18,760 Speaker 3: These adverse childhood experiences can modify the gene activity of 1127 01:05:19,280 --> 01:05:23,720 Speaker 3: the genes that are responsible for managing stress, and they, 1128 01:05:23,760 --> 01:05:29,400 Speaker 3: as a consequence, have lifelong problems managing stressful situations, and 1129 01:05:29,440 --> 01:05:32,800 Speaker 3: this can lead to anxiety and even violence later on 1130 01:05:32,840 --> 01:05:38,080 Speaker 3: in life. Yeah, I go again, many different variables in 1131 01:05:38,120 --> 01:05:38,760 Speaker 3: the equation. 1132 01:05:39,480 --> 01:05:42,440 Speaker 2: Yes, yes, yes, it just seems like I meete a 1133 01:05:42,440 --> 01:05:45,080 Speaker 2: lot of people who it's like I meant. The reason 1134 01:05:45,120 --> 01:05:47,680 Speaker 2: I asked that was I was talking to a mum 1135 01:05:47,960 --> 01:05:51,040 Speaker 2: and her daughter the other day, and they're both like 1136 01:05:51,640 --> 01:05:55,320 Speaker 2: the nicest people, like just genuinely loving, kind, compassionate. 1137 01:05:55,360 --> 01:05:58,280 Speaker 1: They do all this work and they just don't want anything. 1138 01:05:58,320 --> 01:06:01,560 Speaker 2: And I'm like, if I wonder if the daughters like 1139 01:06:01,600 --> 01:06:04,000 Speaker 2: the mum because she grew up in that kind of energy, 1140 01:06:04,000 --> 01:06:07,240 Speaker 2: in that environment and that mindset, or there's a genetic 1141 01:06:07,360 --> 01:06:08,240 Speaker 2: component to that. 1142 01:06:08,400 --> 01:06:11,840 Speaker 3: But you know, we should do we will take the 1143 01:06:12,280 --> 01:06:16,120 Speaker 3: We should take the intestinal bacteria of hippies and put 1144 01:06:16,160 --> 01:06:19,720 Speaker 3: it into a violent criminal and see if that doesn't 1145 01:06:19,800 --> 01:06:20,760 Speaker 3: change their behavior. 1146 01:06:24,280 --> 01:06:26,560 Speaker 2: Well, if any of you hippies who listened to this, 1147 01:06:26,600 --> 01:06:29,120 Speaker 2: and any of you violent also listened to this, want 1148 01:06:29,120 --> 01:06:32,960 Speaker 2: to be involved in doctor Bill's study, so I want 1149 01:06:32,960 --> 01:06:35,920 Speaker 2: to read you something. The symptoms of the proposed type 1150 01:06:35,960 --> 01:06:42,200 Speaker 2: three diabetes condition may include symptoms of dementia, such as 1151 01:06:42,360 --> 01:06:47,960 Speaker 2: seen in early Alzheimer's disease. According to the Alzheimer's Disease Association, 1152 01:06:48,920 --> 01:06:52,520 Speaker 2: these symptoms include memory lost, blah blah blah. So this 1153 01:06:52,520 --> 01:06:55,160 Speaker 2: this this term type three diabetes. 1154 01:06:55,640 --> 01:06:57,720 Speaker 1: Have you heard of that. Is that a thing or 1155 01:06:57,800 --> 01:07:00,680 Speaker 1: is that just is that just bullshit? 1156 01:07:02,800 --> 01:07:04,959 Speaker 3: To be honest, I've never heard it before. It could 1157 01:07:04,960 --> 01:07:07,400 Speaker 3: be a thing. I'm only familiar with Tape one and two. 1158 01:07:08,160 --> 01:07:11,480 Speaker 1: Yeah, me too, And I don't know that it's Yeah, 1159 01:07:11,520 --> 01:07:15,080 Speaker 1: there's just that they're talking about. I heard somebody the 1160 01:07:15,120 --> 01:07:16,160 Speaker 1: other day, and I. 1161 01:07:16,080 --> 01:07:19,760 Speaker 2: Don't think this is solid science, but they were talking 1162 01:07:19,760 --> 01:07:22,040 Speaker 2: about how essentially dementia is. 1163 01:07:24,040 --> 01:07:28,560 Speaker 1: An expression of or a consequence of type three diabetes. Anyway, 1164 01:07:29,440 --> 01:07:31,880 Speaker 1: I'll do some more research, maybe you'll have a reason. 1165 01:07:31,960 --> 01:07:34,160 Speaker 1: We might talk about it next time. My last question 1166 01:07:34,240 --> 01:07:41,160 Speaker 1: for you is this, are some people more genetically inclined 1167 01:07:42,280 --> 01:07:47,280 Speaker 1: to enjoy exercise. I've spoken a lot of people over 1168 01:07:47,280 --> 01:07:49,200 Speaker 1: the years who go, it's just not my thing. I 1169 01:07:49,280 --> 01:07:50,640 Speaker 1: just don't enjoy it. I hate it. 1170 01:07:51,400 --> 01:07:55,400 Speaker 2: And I wonder if that's again, if that's truly just 1171 01:07:55,440 --> 01:07:59,520 Speaker 2: who they are genetically, that's just that's just part of them, 1172 01:07:59,920 --> 01:08:01,760 Speaker 2: or if that's just because I grew up in a 1173 01:08:01,800 --> 01:08:04,160 Speaker 2: family where that wasn't encouraged or supported. 1174 01:08:06,160 --> 01:08:09,200 Speaker 3: I think it's completely possible that there could be a 1175 01:08:09,280 --> 01:08:14,240 Speaker 3: genetic component to someone's inclination to exercise or not. But 1176 01:08:14,320 --> 01:08:16,719 Speaker 3: I think what's more likely is there's probably a genetic 1177 01:08:16,760 --> 01:08:19,720 Speaker 3: component into the type of exercise that someone might want 1178 01:08:19,760 --> 01:08:24,000 Speaker 3: to enjoy. I mean, there's the best study that I 1179 01:08:24,040 --> 01:08:27,880 Speaker 3: can think of within this realm would be like the 1180 01:08:28,479 --> 01:08:32,439 Speaker 3: genes that govern fast twitching of muscles, and it governs 1181 01:08:32,439 --> 01:08:35,400 Speaker 3: the recovery time of muscles. And basically, if you have 1182 01:08:35,479 --> 01:08:39,520 Speaker 3: one variation of this gene, you're really good at distance 1183 01:08:39,840 --> 01:08:43,360 Speaker 3: or marathon or endurance type sports, but you're really crappy 1184 01:08:43,600 --> 01:08:46,519 Speaker 3: at those that require a real sudden burst of energy. 1185 01:08:47,120 --> 01:08:50,400 Speaker 3: The other genetic variants the opposite. The other variant says 1186 01:08:50,400 --> 01:08:53,519 Speaker 3: you're really good at short bursts of activity, You're a 1187 01:08:53,560 --> 01:08:59,160 Speaker 3: great sprinter. You know, you have better abilities with returned 1188 01:08:59,479 --> 01:09:03,200 Speaker 3: in terms of strength. That genetic variation is one of 1189 01:09:03,200 --> 01:09:06,200 Speaker 3: the clearest cut that I've seen, But that really doesn't 1190 01:09:06,240 --> 01:09:10,200 Speaker 3: get to the heart of motivating people to exercise. And 1191 01:09:10,240 --> 01:09:13,080 Speaker 3: I think what is happening there is that some people 1192 01:09:13,120 --> 01:09:15,439 Speaker 3: might want to fall back on genetics as an excuse, 1193 01:09:15,479 --> 01:09:18,880 Speaker 3: and that's the last thing we want anyone to do. 1194 01:09:20,160 --> 01:09:22,400 Speaker 3: People need to keep in mind is that exercise can 1195 01:09:22,439 --> 01:09:25,840 Speaker 3: be fun. I mean, it can be If you enjoy running, 1196 01:09:25,880 --> 01:09:29,120 Speaker 3: get out there and run or walk. If not, try swimming. 1197 01:09:29,479 --> 01:09:33,080 Speaker 3: If not, try playing basketball or football. You know there's 1198 01:09:33,160 --> 01:09:35,599 Speaker 3: something out there that you're going to enjoy that will 1199 01:09:35,640 --> 01:09:38,720 Speaker 3: give you the exercise that you need. And I know 1200 01:09:39,080 --> 01:09:41,720 Speaker 3: very few people who just can't go walk around the 1201 01:09:41,760 --> 01:09:44,200 Speaker 3: block a few times, and you can do lots of 1202 01:09:44,240 --> 01:09:46,519 Speaker 3: things while you do that. You can listen to the 1203 01:09:46,680 --> 01:09:51,320 Speaker 3: U Project podcast during this walk, and what better way 1204 01:09:51,360 --> 01:09:54,880 Speaker 3: to exercise and entertain yourself at the same time. And 1205 01:09:54,960 --> 01:09:58,040 Speaker 3: if you're not a fan, and that's the new promo, 1206 01:09:58,160 --> 01:10:01,200 Speaker 3: but if you're not a fan of Craig Harper, first 1207 01:10:01,880 --> 01:10:05,760 Speaker 3: why uh? And then second, turn on a different podcast, 1208 01:10:05,840 --> 01:10:08,679 Speaker 3: or listen to a book or some music, whatever, float 1209 01:10:08,720 --> 01:10:12,240 Speaker 3: your boat, do whatever it takes. Find a regiment that 1210 01:10:12,280 --> 01:10:14,559 Speaker 3: works for you that's going to allow you to get 1211 01:10:14,560 --> 01:10:18,799 Speaker 3: in the exercise you need. It's really important underdersent. 1212 01:10:18,920 --> 01:10:21,559 Speaker 2: We'll finish with this as we as the world is 1213 01:10:21,600 --> 01:10:25,280 Speaker 2: watching on it. The fucking shit show that is the 1214 01:10:25,400 --> 01:10:26,320 Speaker 2: upcoming election. 1215 01:10:28,960 --> 01:10:31,240 Speaker 1: What are your thoughts. Who's gonna win? 1216 01:10:31,720 --> 01:10:34,040 Speaker 3: Who's going to wing our election? Yeah? I think it's 1217 01:10:34,200 --> 01:10:38,719 Speaker 3: our election forty less than forty five days away? 1218 01:10:39,200 --> 01:10:41,479 Speaker 1: What is it November five or is that it? 1219 01:10:42,240 --> 01:10:45,639 Speaker 3: Yeah? So it's coming up in early November, and all 1220 01:10:45,680 --> 01:10:48,880 Speaker 3: of this will be said and done, you know, a 1221 01:10:48,920 --> 01:10:51,679 Speaker 3: day or two after that, so we'll see what happens. 1222 01:10:52,120 --> 01:10:52,800 Speaker 1: Who's going to win. 1223 01:10:52,960 --> 01:10:58,320 Speaker 3: Really, it's a really interesting cycle. Oh that kind of prediction. 1224 01:10:59,840 --> 01:11:02,599 Speaker 3: I'm really hoping for Harris to tell you the truth. 1225 01:11:04,240 --> 01:11:08,559 Speaker 3: If it is Trump, I fear not just for the 1226 01:11:08,600 --> 01:11:09,759 Speaker 3: States but for the world. 1227 01:11:10,680 --> 01:11:18,519 Speaker 1: Yeah. Wow, it's it's it's it's entertaining and terrifying to 1228 01:11:18,600 --> 01:11:22,840 Speaker 1: look on from afar, but anyway, it's probably more terrifying 1229 01:11:22,880 --> 01:11:24,759 Speaker 1: to be in the middle of it over there. 1230 01:11:24,880 --> 01:11:30,240 Speaker 3: Well, what surprises me is that roughly half this country 1231 01:11:30,800 --> 01:11:35,400 Speaker 3: is perfectly fine with a convicted felon running for office. 1232 01:11:36,640 --> 01:11:39,439 Speaker 3: That's just unfathomable to me. I just can't get over that. 1233 01:11:41,479 --> 01:11:46,479 Speaker 2: Yeah, it's almost like that's almost like he's superpower. Is 1234 01:11:46,520 --> 01:11:47,560 Speaker 2: that he doesn't. 1235 01:11:48,520 --> 01:11:51,880 Speaker 3: He's teflon man, He's teflon everything. Everything bounces off of it. 1236 01:11:52,000 --> 01:11:56,439 Speaker 3: It just slides off. People just create excuses for this guy. 1237 01:11:56,880 --> 01:12:01,280 Speaker 3: He can't formulate a complete sentence, and then people are saying, well, 1238 01:12:01,280 --> 01:12:04,920 Speaker 3: that's part of his genius, Like, no, that's that's dementia 1239 01:12:05,000 --> 01:12:05,759 Speaker 3: talking dude. 1240 01:12:06,640 --> 01:12:10,720 Speaker 1: Yes, yes, Wow, it's just crazy. 1241 01:12:10,800 --> 01:12:14,640 Speaker 3: The twisted knots that people are putting themselves in so 1242 01:12:14,680 --> 01:12:20,160 Speaker 3: they can make excuses for this guy. It's unbelievable to me. 1243 01:12:21,000 --> 01:12:25,040 Speaker 2: Conformation biased doc work like we just we live in 1244 01:12:25,040 --> 01:12:28,280 Speaker 2: the echo chamber. Don't let the facts get in the way. 1245 01:12:28,520 --> 01:12:32,080 Speaker 2: Doctor Bill Sullivan is the author, pleased to meet me, jeans, germs, 1246 01:12:32,120 --> 01:12:34,120 Speaker 2: and the curious forces that make us who we are. 1247 01:12:34,439 --> 01:12:37,839 Speaker 2: Do you want to point our audience in any other direction? 1248 01:12:38,280 --> 01:12:38,519 Speaker 1: Doc? 1249 01:12:39,040 --> 01:12:42,040 Speaker 3: Is there anything else? If people want to learn more 1250 01:12:42,040 --> 01:12:44,720 Speaker 3: about the book, or follow up on some of the 1251 01:12:44,760 --> 01:12:47,800 Speaker 3: writings that I've done, or other appearances on the You 1252 01:12:48,000 --> 01:12:50,840 Speaker 3: Project and other podcasts, they can go to my website, 1253 01:12:51,160 --> 01:12:54,320 Speaker 3: Author Bill Sullivan dot com. There's also a mailing list 1254 01:12:54,360 --> 01:12:57,080 Speaker 3: option you can sign up for if you want to 1255 01:12:57,120 --> 01:12:57,760 Speaker 3: sign up for that. 1256 01:12:58,680 --> 01:13:00,479 Speaker 2: I think it's time for a new book, bro, I 1257 01:13:00,520 --> 01:13:04,160 Speaker 2: think it's five years. I think you're getting a little tardier. 1258 01:13:04,200 --> 01:13:06,800 Speaker 2: I think you better just get a hurry along. 1259 01:13:07,479 --> 01:13:09,639 Speaker 3: I'm still getting some good mileage out of this one, 1260 01:13:09,720 --> 01:13:14,320 Speaker 3: so I don't want to equipse that. Okay, but hey, 1261 01:13:14,800 --> 01:13:18,840 Speaker 3: you know, tell the major publishers to come knock on 1262 01:13:18,840 --> 01:13:20,479 Speaker 3: my door and we'll see what we can do. 1263 01:13:21,040 --> 01:13:23,080 Speaker 1: A com believe they're not knocking, all right. 1264 01:13:24,760 --> 01:13:26,800 Speaker 3: I got ideas, man, I got ideas. 1265 01:13:27,120 --> 01:13:28,720 Speaker 1: Of course you do, all right mate. 1266 01:13:28,720 --> 01:13:32,160 Speaker 2: We appreciate you, love having you on the show, and yeah, 1267 01:13:32,200 --> 01:13:34,000 Speaker 2: I value your contribution greatly. 1268 01:13:34,120 --> 01:13:35,040 Speaker 1: Thanks so much again. 1269 01:13:35,680 --> 01:13:37,920 Speaker 3: Hey, always a pleasure to look forward to next time.