1 00:00:08,960 --> 00:00:13,320 Speaker 1: This is me eat your podcast coming at you shirtless, severely, 2 00:00:13,440 --> 00:00:17,680 Speaker 1: bug bitten and in my case, underwear listening Hunt podcast, 3 00:00:18,280 --> 00:00:22,440 Speaker 1: you can't predict anything presented by on X. Hunt creators 4 00:00:22,480 --> 00:00:26,120 Speaker 1: are the most comprehensive digital mapping system for hunters. Download 5 00:00:26,120 --> 00:00:28,960 Speaker 1: the Hunt app from the iTunes or Google play store, 6 00:00:29,320 --> 00:00:36,720 Speaker 1: nor where you stand with on X. Okay, we're here 7 00:00:36,760 --> 00:00:38,800 Speaker 1: with Dr Paul Saladino in the first and we'm to 8 00:00:38,800 --> 00:00:41,760 Speaker 1: top about that. I get that right, You got it? Man? Um? 9 00:00:41,880 --> 00:00:44,680 Speaker 1: Why why are we tell people what we're having in 10 00:00:44,800 --> 00:00:48,120 Speaker 1: pillform right now? So my my hope was that I 11 00:00:48,159 --> 00:00:50,920 Speaker 1: would get everybody a little bit buzzed on liver pills 12 00:00:50,960 --> 00:00:53,760 Speaker 1: before we got started on this podcast. So these are 13 00:00:53,840 --> 00:00:58,600 Speaker 1: desiccated organs. The first uh sampling, it's like a tasting, 14 00:00:58,680 --> 00:01:01,200 Speaker 1: like you go to a wine bar, a beer house. 15 00:01:01,200 --> 00:01:03,280 Speaker 1: You've got a sampling, a tasting. So I brought two 16 00:01:03,280 --> 00:01:06,800 Speaker 1: different vintages today. We've got the bone marrow and liver pills. 17 00:01:06,880 --> 00:01:10,160 Speaker 1: Steve is over here sniffing them, smelling mind eating them. 18 00:01:10,160 --> 00:01:12,640 Speaker 1: I have twelve to eat, twelve to eat. So the 19 00:01:12,640 --> 00:01:15,920 Speaker 1: first vintage is bone marrow and liver from grass fed, 20 00:01:15,920 --> 00:01:19,360 Speaker 1: grass finished cattle raised in New Zealand on regenerative farms. 21 00:01:19,959 --> 00:01:24,479 Speaker 1: And the second vintage is beef organs, which consists of heart, liver, kidney, spleen, 22 00:01:24,560 --> 00:01:27,800 Speaker 1: and pancreas from similarly raised cattle in New Zealand. And 23 00:01:27,840 --> 00:01:31,280 Speaker 1: these are super interesting for me because, um, a lot 24 00:01:31,319 --> 00:01:34,759 Speaker 1: of people don't understand how valuable organs are. I think 25 00:01:34,760 --> 00:01:36,520 Speaker 1: as a hunter, you guys probably get this. Or if 26 00:01:36,520 --> 00:01:39,960 Speaker 1: you think about the way that indigenous people and hunter 27 00:01:40,000 --> 00:01:44,200 Speaker 1: gatherers have eaten animals throughout antiquity, they eat them, nose, 28 00:01:44,240 --> 00:01:47,640 Speaker 1: the tail, they eat the whole animal right, nothing is wasted, 29 00:01:48,040 --> 00:01:50,800 Speaker 1: and a lot of the organs are sacred. They're regarded 30 00:01:50,840 --> 00:01:53,560 Speaker 1: as sacred. This New War tribe in Africa. They're super tall, 31 00:01:53,920 --> 00:01:56,760 Speaker 1: even the women are like above six ft. They think 32 00:01:56,800 --> 00:01:59,639 Speaker 1: of liver as too sacred to be touched by human hands. 33 00:02:00,040 --> 00:02:02,760 Speaker 1: But it's just regard. They've they've realized over generations that 34 00:02:02,800 --> 00:02:05,400 Speaker 1: if they feed the organs specifically things like liver and 35 00:02:05,440 --> 00:02:09,240 Speaker 1: spleen and pancreas and heart, their warriors get strong, the 36 00:02:09,320 --> 00:02:12,400 Speaker 1: young people are fertile, they have healthy babies. It's just 37 00:02:12,560 --> 00:02:14,600 Speaker 1: by trial and error they've realized, Hey, there are unique 38 00:02:14,639 --> 00:02:17,960 Speaker 1: nutrients in these organs. And what's so interesting for me 39 00:02:17,960 --> 00:02:21,000 Speaker 1: about this is the way that we become optimally healthy 40 00:02:21,040 --> 00:02:23,919 Speaker 1: humans and how much of this we're missing in our diets. 41 00:02:23,919 --> 00:02:25,560 Speaker 1: So I'm a doctor, I think about nutrition. I think 42 00:02:25,600 --> 00:02:29,520 Speaker 1: about nutritional adequacy, vitamins, minerals, where we get them. And 43 00:02:29,600 --> 00:02:31,440 Speaker 1: one of the most striking things that I've encountered in 44 00:02:31,480 --> 00:02:33,680 Speaker 1: writing this book, the Carnivore Code, we'll talk about it today, 45 00:02:33,680 --> 00:02:35,640 Speaker 1: is that, Hey, a lot of the nutrients that you 46 00:02:35,680 --> 00:02:38,720 Speaker 1: find when you're eating animal meat and organs are pretty 47 00:02:38,720 --> 00:02:42,080 Speaker 1: difficult to find elsewhere in our diets, which really speaks 48 00:02:42,120 --> 00:02:46,080 Speaker 1: to this evolutionary program, this evolutionary blueprint that humans have 49 00:02:46,639 --> 00:02:50,239 Speaker 1: to eat animals and in their entirety throughout our whole existence. 50 00:02:50,280 --> 00:02:53,239 Speaker 1: And so one of the passioning projects that I developed 51 00:02:53,320 --> 00:02:55,679 Speaker 1: was this company called Heart and Soil to make these 52 00:02:55,680 --> 00:02:58,840 Speaker 1: descated organ supplements for people who can't access the organs 53 00:02:58,919 --> 00:03:01,200 Speaker 1: or who don't want to eat the organs. Because if 54 00:03:01,200 --> 00:03:03,520 Speaker 1: you've ever seen a pancreas, it looks like a little alien. 55 00:03:03,639 --> 00:03:05,240 Speaker 1: I mean, you can eat it, but a lot of 56 00:03:05,240 --> 00:03:06,960 Speaker 1: people won't do it. But I still want to be 57 00:03:06,960 --> 00:03:09,120 Speaker 1: able to get people this good nutrition. It's like my 58 00:03:09,160 --> 00:03:12,840 Speaker 1: sister's kids, niece and nephew, and my parents and my grandparents. 59 00:03:12,880 --> 00:03:15,080 Speaker 1: They're probably not gonnaed a pancreas for a spleen, but 60 00:03:15,120 --> 00:03:19,680 Speaker 1: they'll take these pills. And so everybody in this room 61 00:03:19,720 --> 00:03:22,000 Speaker 1: is now getting a little bit buzzed on the unique 62 00:03:22,080 --> 00:03:24,800 Speaker 1: nutrients found in these two rare vintages that I brought 63 00:03:24,919 --> 00:03:27,120 Speaker 1: when I was When I was a little boy, and 64 00:03:27,120 --> 00:03:30,600 Speaker 1: you got into an argument about vegetarianism, you'd be like, 65 00:03:31,080 --> 00:03:33,200 Speaker 1: you can't be a vegetarian because you won't get BE 66 00:03:33,360 --> 00:03:36,839 Speaker 1: twelve right or vegan or whatever. But then I read 67 00:03:36,920 --> 00:03:39,760 Speaker 1: that you get enough B twelve off insect contamination in 68 00:03:39,800 --> 00:03:43,080 Speaker 1: your produce, So like, what is not? But what is 69 00:03:43,080 --> 00:03:50,160 Speaker 1: it that you need? Uh? I got a thousand questions? No, 70 00:03:50,240 --> 00:03:52,480 Speaker 1: queen back, hold that question, okay, because I want yan 71 00:03:52,560 --> 00:03:56,160 Speaker 1: you to to tell you about his special pills. All right, Oh, Steve, 72 00:03:56,200 --> 00:03:58,800 Speaker 1: want me tell you about how I think it was 73 00:03:58,840 --> 00:04:05,000 Speaker 1: our first born. We took the cent, love it and 74 00:04:05,440 --> 00:04:09,080 Speaker 1: had it turned basically into a pill. But yeah, but 75 00:04:10,000 --> 00:04:13,119 Speaker 1: it was like witchcraft and hate the pills. I didn't 76 00:04:13,160 --> 00:04:16,360 Speaker 1: I didn't eat. It was kind of like witchcraft more 77 00:04:16,400 --> 00:04:21,000 Speaker 1: than like health right, Like it was like spiritual metaphysical. 78 00:04:21,480 --> 00:04:23,200 Speaker 1: It wasn't like good for your health. Well, I think 79 00:04:23,200 --> 00:04:25,359 Speaker 1: it's kind of I know, I think it was the latter. 80 00:04:25,520 --> 00:04:27,039 Speaker 1: It was meant to be good for your health. Yeah, 81 00:04:27,920 --> 00:04:30,960 Speaker 1: it was more like metaphysical in nature. I think it's 82 00:04:31,000 --> 00:04:32,680 Speaker 1: kind of both. I think that a lot of the 83 00:04:32,680 --> 00:04:37,839 Speaker 1: stories around the organs came from observed health benefits. People think, oh, 84 00:04:37,880 --> 00:04:40,600 Speaker 1: we eat the heart, it makes me strong, and that's 85 00:04:40,640 --> 00:04:43,279 Speaker 1: interesting because there's extra coins. I'm key ten and heart. 86 00:04:43,320 --> 00:04:44,720 Speaker 1: So I think the question you were going to ask 87 00:04:45,240 --> 00:04:47,320 Speaker 1: was what are the unique nutrients and animal foods or 88 00:04:47,320 --> 00:04:50,480 Speaker 1: what are they? What do you because I know about 89 00:04:50,520 --> 00:04:53,080 Speaker 1: B twelve right best. Everybody knows that one, right, but 90 00:04:53,080 --> 00:04:55,799 Speaker 1: the list is really really long. This is so fascinating. 91 00:04:55,880 --> 00:04:59,800 Speaker 1: So one of the interesting ideas that I've come across 92 00:05:00,160 --> 00:05:03,440 Speaker 1: in this this sort of this realm of carnivore and 93 00:05:03,560 --> 00:05:06,560 Speaker 1: animal based diets is that if you look at plants 94 00:05:06,720 --> 00:05:09,040 Speaker 1: and you look at what we can get nutritionally from plants, 95 00:05:09,640 --> 00:05:12,000 Speaker 1: there are no nutrients and plants. And this is gonna 96 00:05:12,000 --> 00:05:14,680 Speaker 1: sound crazy, but it's true. There are no nutrients and 97 00:05:14,720 --> 00:05:17,240 Speaker 1: plants that we cannot get from animals if we eat them. 98 00:05:17,320 --> 00:05:20,680 Speaker 1: Nose to tail, meaning if we eat yeah, but the 99 00:05:20,720 --> 00:05:24,000 Speaker 1: reverse is not true. There are so many unique nutrients 100 00:05:24,040 --> 00:05:26,920 Speaker 1: and animal foods eating nose to tail that you cannot 101 00:05:26,920 --> 00:05:30,479 Speaker 1: get from plants. And BE twelve, which is a molecule 102 00:05:30,560 --> 00:05:33,279 Speaker 1: called kobol amen, is just one of them. And it's 103 00:05:33,320 --> 00:05:35,320 Speaker 1: really a myth that you can get enough BE twelve 104 00:05:35,440 --> 00:05:38,760 Speaker 1: to have adequate methylation and all these other physiologic processes 105 00:05:38,760 --> 00:05:41,320 Speaker 1: you need in your body from just animals on your produce. 106 00:05:41,400 --> 00:05:44,039 Speaker 1: That doesn't happen. You really should eat animal foods, but 107 00:05:44,080 --> 00:05:48,760 Speaker 1: the list is very long. You guys, sort of creatine creatine, 108 00:05:48,760 --> 00:05:50,400 Speaker 1: and so it's a molecule that your body makes, but 109 00:05:50,440 --> 00:05:53,000 Speaker 1: it only makes a small amount, and you get creatine 110 00:05:53,000 --> 00:05:55,000 Speaker 1: and muscle, meat and liver and things like this, and 111 00:05:55,000 --> 00:05:59,320 Speaker 1: then carnaentine, coaline, carnesceine, and serene toriine. I can talk 112 00:05:59,360 --> 00:06:02,560 Speaker 1: about any of these, Vitamin K two. The list is 113 00:06:02,600 --> 00:06:05,839 Speaker 1: a long. There's probably about nine to ten unique nutrients 114 00:06:05,880 --> 00:06:08,039 Speaker 1: just that we know about that we need to be 115 00:06:08,120 --> 00:06:10,800 Speaker 1: optimal humans, and there's medical studies on all of them 116 00:06:10,839 --> 00:06:13,800 Speaker 1: showing this has this benefit, this has this benefit, and 117 00:06:13,800 --> 00:06:16,799 Speaker 1: we only get them from eating animal organs and meat. 118 00:06:17,520 --> 00:06:19,760 Speaker 1: So a question that will ask people is and this 119 00:06:19,880 --> 00:06:21,800 Speaker 1: is just a question that a doctor would ask somebody 120 00:06:21,800 --> 00:06:23,640 Speaker 1: because it's a nerdy question. Where do you get your 121 00:06:23,720 --> 00:06:28,360 Speaker 1: ribe of flavan? Man? I don't know. I think it's 122 00:06:28,400 --> 00:06:32,640 Speaker 1: been special k don't they advertise? Yeah, I was gonna 123 00:06:32,640 --> 00:06:36,440 Speaker 1: say something Breakfast Cereals something. There's a breakfast cereal company 124 00:06:36,480 --> 00:06:39,560 Speaker 1: that started to introduced Americans to the idea of rival flavor. 125 00:06:40,600 --> 00:06:42,320 Speaker 1: I don't know what it is, but I accepted that 126 00:06:42,720 --> 00:06:44,800 Speaker 1: I need it. Right, well, you definitely need it. Rabit 127 00:06:44,839 --> 00:06:47,200 Speaker 1: flav is vitamin B two and if we get it 128 00:06:47,240 --> 00:06:51,320 Speaker 1: in a synthetic form, it's two different molecules. This gets 129 00:06:51,360 --> 00:06:53,360 Speaker 1: a little a little complex. I don't want to get 130 00:06:53,360 --> 00:06:54,760 Speaker 1: too in the weeds here, but there are a lot 131 00:06:54,760 --> 00:06:56,479 Speaker 1: of the molecules. A lot of these vitamins have like 132 00:06:56,520 --> 00:06:59,520 Speaker 1: mirror images when we synthesize them, but in nature they 133 00:06:59,520 --> 00:07:01,280 Speaker 1: only exist is one form. It kind of look. They're 134 00:07:01,320 --> 00:07:03,520 Speaker 1: called a nanti umors, or these mirror images that look 135 00:07:03,560 --> 00:07:05,360 Speaker 1: like your hands. You know, they're not the same image, 136 00:07:05,360 --> 00:07:07,440 Speaker 1: but there there are a mirror image, but you can't 137 00:07:07,480 --> 00:07:10,600 Speaker 1: overlay them right, So there's a they have what's called chirality. 138 00:07:10,640 --> 00:07:13,600 Speaker 1: They're in antiums, and when you synthesize vitamins like riva 139 00:07:13,640 --> 00:07:16,120 Speaker 1: flavor in the lab, you get both in antiumers, but 140 00:07:16,160 --> 00:07:18,600 Speaker 1: in the natural world only one of them is occurring, 141 00:07:19,000 --> 00:07:21,160 Speaker 1: so the riva flavor and you get in liver. Liver 142 00:07:21,280 --> 00:07:23,240 Speaker 1: and heart are the main place that humans have gotten 143 00:07:23,320 --> 00:07:25,880 Speaker 1: ribe of flavoran throughout our evolution, and it's a nutrient 144 00:07:25,960 --> 00:07:29,280 Speaker 1: that's critical for humans to do a process called methylation, 145 00:07:29,320 --> 00:07:31,520 Speaker 1: for our biochemistry to work right, for us to make 146 00:07:31,920 --> 00:07:35,760 Speaker 1: sex hormones and your transmitters, and to have energy metabolism. Basically, 147 00:07:35,800 --> 00:07:38,080 Speaker 1: to feel as good as possible and experience life as 148 00:07:38,200 --> 00:07:41,280 Speaker 1: richly as we can, we need these little micro nutrients. 149 00:07:41,680 --> 00:07:43,680 Speaker 1: And when you get the ribe of flavor made in 150 00:07:43,720 --> 00:07:47,160 Speaker 1: the lab from special K, this other mirror image can 151 00:07:47,200 --> 00:07:50,680 Speaker 1: block what the actual biological molecules supposed to do. So 152 00:07:50,720 --> 00:07:52,560 Speaker 1: the takeaway here is that the real form of the 153 00:07:52,600 --> 00:07:55,600 Speaker 1: vitamin quote unquote, real form that occurs in natural food 154 00:07:55,920 --> 00:07:57,840 Speaker 1: is always better. It's a concept that's not too far 155 00:07:57,960 --> 00:08:02,280 Speaker 1: from our intuition, but it's you know, corroborated by science. 156 00:08:02,520 --> 00:08:04,000 Speaker 1: So yeah, you can get a little ribe of flavor 157 00:08:04,120 --> 00:08:06,720 Speaker 1: or a little bit of full eight from your special 158 00:08:06,800 --> 00:08:10,160 Speaker 1: k but the versions you find in real food, especially 159 00:08:10,160 --> 00:08:14,080 Speaker 1: animal foods, are much more utilized and easily utilized and 160 00:08:14,120 --> 00:08:16,400 Speaker 1: help us become better individuals. I mean, that's what's so 161 00:08:16,440 --> 00:08:18,600 Speaker 1: fascinating to me as a doctor. How do we kick 162 00:08:18,680 --> 00:08:21,080 Speaker 1: the most assess humans? How do we enjoy this life, 163 00:08:21,480 --> 00:08:24,320 Speaker 1: these short eighty five years that we get on this planet. 164 00:08:24,840 --> 00:08:27,560 Speaker 1: If you're if you're lucky, right, if you're lucky. Yeah. 165 00:08:27,760 --> 00:08:29,160 Speaker 1: I start a new guy the other day and his 166 00:08:30,960 --> 00:08:33,400 Speaker 1: dad all of a sudden died at seventy two. I'm like, 167 00:08:33,440 --> 00:08:35,040 Speaker 1: I don't like here. I'm at the point where I 168 00:08:35,040 --> 00:08:36,640 Speaker 1: don't like hearing that kind of stuff. How old are 169 00:08:36,640 --> 00:08:39,880 Speaker 1: your parents? Well, my mom, my dad died of eighty. 170 00:08:39,960 --> 00:08:42,040 Speaker 1: My mom's eight. You know, Okay, so your parents have 171 00:08:42,120 --> 00:08:45,400 Speaker 1: gotten I mean, your dad lived eighty years, your mom 172 00:08:45,400 --> 00:08:47,319 Speaker 1: has lived a good life. My parents are both seventy. 173 00:08:47,360 --> 00:08:50,280 Speaker 1: And it's thinking you start to think about mortality when 174 00:08:50,280 --> 00:08:52,760 Speaker 1: your parents get close to that that age. And I 175 00:08:52,800 --> 00:08:54,560 Speaker 1: told you I was walking around a graveyard here in 176 00:08:54,600 --> 00:08:56,559 Speaker 1: bos Montana last night. That's what I do when I 177 00:08:56,600 --> 00:08:59,080 Speaker 1: come to new towns. Not all time, but I like 178 00:08:59,160 --> 00:09:01,320 Speaker 1: thinking about that stuff up. And we were looking at 179 00:09:01,320 --> 00:09:04,160 Speaker 1: grave sites from people from eighteen ninety and you know, 180 00:09:04,240 --> 00:09:06,440 Speaker 1: even nineteen o six, and you think what happened? What 181 00:09:06,480 --> 00:09:09,920 Speaker 1: was their life back then like? And mortality is clarifying. 182 00:09:09,960 --> 00:09:12,920 Speaker 1: But they've sat around talking about how this place got 183 00:09:12,920 --> 00:09:19,199 Speaker 1: too crowded and went to ship and you know, you think, wow, 184 00:09:19,240 --> 00:09:21,440 Speaker 1: what was it like? But it also reminds you I'm 185 00:09:21,440 --> 00:09:23,800 Speaker 1: gonna die one day. And I think it's a doctor 186 00:09:24,880 --> 00:09:27,600 Speaker 1: who started out as somebody that just liked to be outside. 187 00:09:27,640 --> 00:09:30,800 Speaker 1: I'm kind of straddling both worlds. I want to live 188 00:09:30,840 --> 00:09:32,319 Speaker 1: as well as I can. And that's why I went 189 00:09:32,320 --> 00:09:34,920 Speaker 1: to medical school was that I enjoyed doing things outside. 190 00:09:35,280 --> 00:09:37,199 Speaker 1: I enjoyed hike in the Pacific Crest Trail. I threw 191 00:09:37,280 --> 00:09:39,080 Speaker 1: hiked it when I was twenty one years old, and 192 00:09:39,600 --> 00:09:42,800 Speaker 1: I've been, you know, like a casual mountaineer for a 193 00:09:42,800 --> 00:09:44,920 Speaker 1: long time. I love backcountry skiing, and I thought, man, 194 00:09:44,920 --> 00:09:48,280 Speaker 1: this is a beautiful life. I love being outdoors. How 195 00:09:48,320 --> 00:09:50,440 Speaker 1: do I do this for as long as possible? I 196 00:09:50,480 --> 00:09:52,280 Speaker 1: want to serve and ski and climb ounce for as 197 00:09:52,280 --> 00:09:54,240 Speaker 1: long as possible. And that's why I think human health 198 00:09:54,280 --> 00:09:57,240 Speaker 1: is fascinating. And I think that if we can understand 199 00:09:57,760 --> 00:09:59,760 Speaker 1: how humans are really programmed to eat. We get to 200 00:09:59,800 --> 00:10:01,679 Speaker 1: do the those things longer. You guys get to go 201 00:10:01,720 --> 00:10:05,000 Speaker 1: on expeditions longer and hunt animals in a beautiful way, 202 00:10:05,080 --> 00:10:07,040 Speaker 1: and you just get to have more fun in life 203 00:10:07,400 --> 00:10:09,840 Speaker 1: when you get your ribe of flavor. Yeah. I remember 204 00:10:09,840 --> 00:10:16,120 Speaker 1: reading about um hide hunters like commercial hunters on the 205 00:10:16,160 --> 00:10:21,720 Speaker 1: Texas planes and how there's there's there's a reference to 206 00:10:21,720 --> 00:10:24,160 Speaker 1: how they would just eat like the finer cuts on 207 00:10:24,240 --> 00:10:28,120 Speaker 1: animals and they would get nutrient deficiencies and they had 208 00:10:28,160 --> 00:10:32,280 Speaker 1: to learn um they had learned he had to eat 209 00:10:32,280 --> 00:10:34,679 Speaker 1: all this stuff, had to eat the organs, and they 210 00:10:34,679 --> 00:10:38,120 Speaker 1: would like put bile, they would put bile on meat 211 00:10:38,600 --> 00:10:40,720 Speaker 1: and do all these things. Just eat as much stuff 212 00:10:40,760 --> 00:10:42,400 Speaker 1: as they could, and they found that they would get 213 00:10:42,480 --> 00:10:45,640 Speaker 1: better health than if they were just eating like just 214 00:10:45,679 --> 00:10:50,880 Speaker 1: eating backstrap exactly like the tongues. And that happens today too. 215 00:10:50,880 --> 00:10:52,760 Speaker 1: I mean we see that over and over and within 216 00:10:52,840 --> 00:10:56,160 Speaker 1: the carnivore animal based community, you see that. I work 217 00:10:56,200 --> 00:10:58,959 Speaker 1: with people who just eat the muscle meat because that's 218 00:10:59,000 --> 00:11:01,199 Speaker 1: all we're really used to today, and they get full 219 00:11:01,240 --> 00:11:03,200 Speaker 1: eight deficiency and you get all kinds of things that 220 00:11:03,240 --> 00:11:05,640 Speaker 1: don't really go that well, but if he knows the tail, 221 00:11:05,920 --> 00:11:07,760 Speaker 1: you feel really good, which is why a lot of 222 00:11:07,800 --> 00:11:11,000 Speaker 1: times when people do things like the desiccated liver supplements 223 00:11:11,120 --> 00:11:13,800 Speaker 1: or eat fresh liver, they get a little buzz. So 224 00:11:13,840 --> 00:11:15,480 Speaker 1: any minute now the buzz is going to be kicking 225 00:11:15,480 --> 00:11:18,520 Speaker 1: in for you guys. So you guys are probably pretty good, 226 00:11:19,679 --> 00:11:21,839 Speaker 1: you're tuned in. But this is I think that what's 227 00:11:21,840 --> 00:11:25,239 Speaker 1: so interesting is these trappers, these hide hunters, didn't understand 228 00:11:25,520 --> 00:11:28,200 Speaker 1: what the Native Americans did, right, because the Native Americans 229 00:11:28,280 --> 00:11:31,520 Speaker 1: knew that they ate these animals, these animal organs. They 230 00:11:31,640 --> 00:11:34,040 Speaker 1: ate the animal fat, they ate the kidney fat, which 231 00:11:34,040 --> 00:11:36,599 Speaker 1: we call the suett the perinetric fat. They ate the 232 00:11:36,600 --> 00:11:39,360 Speaker 1: gall bladder. There's all these stories of kids, and you know, 233 00:11:39,360 --> 00:11:42,160 Speaker 1: indigenous cultures using the gall bladder like salt because it's salty, 234 00:11:42,200 --> 00:11:44,160 Speaker 1: and they'll squirt the bile on meat and stuff, and 235 00:11:44,160 --> 00:11:46,720 Speaker 1: there's valuable nutrients throughout it. But it makes all of 236 00:11:46,760 --> 00:11:49,400 Speaker 1: us kind of go d it's gross. And so I 237 00:11:49,480 --> 00:11:52,360 Speaker 1: really think that a lot of the illness that we 238 00:11:52,400 --> 00:11:54,400 Speaker 1: suffer today as humans, a lot of the chronic disease, 239 00:11:54,720 --> 00:11:57,120 Speaker 1: a lot of the non optimal living that we do, 240 00:11:57,200 --> 00:11:59,200 Speaker 1: it is because of these nutrient deficiencies. And so that's 241 00:11:59,200 --> 00:12:00,800 Speaker 1: why it's cool to get to do this work, because 242 00:12:00,800 --> 00:12:03,640 Speaker 1: it's so awesome to get an email back from somebody 243 00:12:03,640 --> 00:12:06,560 Speaker 1: who's who says things like I have so much more energy, 244 00:12:07,040 --> 00:12:09,920 Speaker 1: my libido is better, I lost weight, I can sleep now, 245 00:12:10,080 --> 00:12:13,400 Speaker 1: or my autoimmune disease went away. When they make dietary changes, 246 00:12:13,480 --> 00:12:15,439 Speaker 1: the first of which is probably including these organs in 247 00:12:15,440 --> 00:12:18,160 Speaker 1: their diet. And we can talk about other dietary changes 248 00:12:18,160 --> 00:12:19,960 Speaker 1: you might make to get that way. But that's what's 249 00:12:20,000 --> 00:12:22,480 Speaker 1: really cool, and it's this sort of ancestral wisdom that's 250 00:12:22,480 --> 00:12:26,800 Speaker 1: been lost. I I gotta hear my first question before 251 00:12:26,800 --> 00:12:28,240 Speaker 1: we get into details, and no one I want to 252 00:12:28,240 --> 00:12:30,240 Speaker 1: talk about your diet too. But here's my first question. 253 00:12:30,400 --> 00:12:34,120 Speaker 1: Is there's a criticism of American society today that we 254 00:12:34,160 --> 00:12:37,440 Speaker 1: don't agree on, that we no longer agree on the 255 00:12:37,440 --> 00:12:44,520 Speaker 1: objective realities, right, that there's two versions of truth um 256 00:12:44,720 --> 00:12:46,880 Speaker 1: or multiple versions of truth. When I think that we 257 00:12:46,920 --> 00:12:49,840 Speaker 1: have this nostalgic attitude that once upon a time there 258 00:12:49,880 --> 00:12:52,520 Speaker 1: was only like one version of truth, and I wonder 259 00:12:52,679 --> 00:12:56,160 Speaker 1: is it infiltrated diet? Like I don't remember when I 260 00:12:56,240 --> 00:12:58,240 Speaker 1: was a little kid, I don't remember there being like 261 00:12:58,440 --> 00:13:00,920 Speaker 1: two versions of what healthy. What was healthy? I think 262 00:13:00,920 --> 00:13:03,319 Speaker 1: everybody knew, like the food pyramid, and they're sort of like, 263 00:13:03,920 --> 00:13:06,520 Speaker 1: I get it, I'm not gonna do it, but I 264 00:13:06,559 --> 00:13:10,080 Speaker 1: accept that that's correct. But we've now entered into a 265 00:13:10,120 --> 00:13:13,720 Speaker 1: spot where you can have a version of reality being 266 00:13:13,760 --> 00:13:16,640 Speaker 1: that meats really bad for you, and it's healthy to 267 00:13:16,679 --> 00:13:19,600 Speaker 1: be a vegetarian because meat kills you, and that's by 268 00:13:19,600 --> 00:13:22,520 Speaker 1: some people accepted like, well, no, that's that's objectively true, 269 00:13:22,520 --> 00:13:25,480 Speaker 1: that's categorically true. You might choose to eat meat because 270 00:13:25,480 --> 00:13:29,160 Speaker 1: you don't have self control or you're a glutton or whatever, 271 00:13:29,520 --> 00:13:31,719 Speaker 1: but we all know that that's right. And then you 272 00:13:31,880 --> 00:13:34,000 Speaker 1: have another group of people being like, oh no, no no, no, no, 273 00:13:34,840 --> 00:13:38,600 Speaker 1: fat and meat, it's an objective reality that it's good 274 00:13:38,600 --> 00:13:41,560 Speaker 1: for you. You might not do that because you have 275 00:13:41,640 --> 00:13:45,280 Speaker 1: a sugar addiction or you have a problem with animal ethics, 276 00:13:45,440 --> 00:13:47,360 Speaker 1: but we all know that this is actually true. Like 277 00:13:47,960 --> 00:13:50,960 Speaker 1: how do people pick? Like who's right? There's only one 278 00:13:51,320 --> 00:13:54,440 Speaker 1: where you so so right, there there's one, but who's 279 00:13:54,480 --> 00:13:56,600 Speaker 1: who's is the one? That's why I do what I do, man, 280 00:13:56,960 --> 00:13:58,360 Speaker 1: That's why I do what I do. I think that 281 00:13:59,280 --> 00:14:01,720 Speaker 1: truth is truth is what we're after. And I really 282 00:14:01,760 --> 00:14:03,199 Speaker 1: love you bring this up because I think this is 283 00:14:03,200 --> 00:14:04,800 Speaker 1: a little bit of an insidious notion that there are 284 00:14:04,880 --> 00:14:07,079 Speaker 1: multiple versions of truth. There's only one version of truth, 285 00:14:07,679 --> 00:14:09,360 Speaker 1: and either what I'm saying is right or what the 286 00:14:09,360 --> 00:14:11,600 Speaker 1: plant based people are saying is right. And that's why 287 00:14:11,640 --> 00:14:13,200 Speaker 1: I do what I do, because I believe with every 288 00:14:13,240 --> 00:14:15,880 Speaker 1: fiber of my being that humans have been eating meat 289 00:14:15,880 --> 00:14:18,600 Speaker 1: throughout our entire evolution. We can get into this and 290 00:14:18,640 --> 00:14:21,200 Speaker 1: that it's essential for human health. And in the book 291 00:14:21,240 --> 00:14:24,320 Speaker 1: and the Carnivore Code, I break down why have we 292 00:14:24,480 --> 00:14:27,480 Speaker 1: been told that meat is not bad, not good for us? Right? 293 00:14:27,840 --> 00:14:30,440 Speaker 1: I can tell you why it's not good for you? Well, 294 00:14:31,000 --> 00:14:34,440 Speaker 1: can get like get what else it to? Elvis Presley 295 00:14:34,480 --> 00:14:36,720 Speaker 1: died and they found a giant burger and his coling 296 00:14:36,960 --> 00:14:41,160 Speaker 1: like you can't digest. But I always feel like why 297 00:14:41,160 --> 00:14:43,520 Speaker 1: do I feel? I always wonder why I feel so 298 00:14:44,720 --> 00:14:47,200 Speaker 1: good when you eat something that's so bad for you, 299 00:14:47,400 --> 00:14:49,320 Speaker 1: Like I like, I don't even know that I'm dying, 300 00:14:49,320 --> 00:14:51,320 Speaker 1: Like I feel like I'm great. You feel amazing. And 301 00:14:51,640 --> 00:14:53,400 Speaker 1: I hear that all the time from people who email 302 00:14:53,440 --> 00:14:55,400 Speaker 1: me at hard and Soil because you know you can 303 00:14:55,440 --> 00:14:57,120 Speaker 1: email me there if you have questions. And people say, 304 00:14:57,320 --> 00:14:59,120 Speaker 1: I feel so good when I eat liver, I get high, 305 00:14:59,120 --> 00:15:01,119 Speaker 1: I get a little buzz, I I feel these nutrients. 306 00:15:01,160 --> 00:15:03,680 Speaker 1: And conversely, there's a little bit there's a little bit 307 00:15:03,680 --> 00:15:05,560 Speaker 1: of selection bias here in terms of who emails me 308 00:15:05,600 --> 00:15:07,960 Speaker 1: with these stories. People email me and say, hey, doc, 309 00:15:08,040 --> 00:15:11,080 Speaker 1: my my doctor recommended that I go on a plant 310 00:15:11,080 --> 00:15:13,840 Speaker 1: based diet because X Y Z and I just feel 311 00:15:13,880 --> 00:15:15,920 Speaker 1: like garbage. My energy is down and don't feel good. 312 00:15:15,920 --> 00:15:17,480 Speaker 1: I'm gaining weight, And I go, yeah, it's because you're 313 00:15:17,480 --> 00:15:21,080 Speaker 1: eating the junk. You're eating survival food. So that's why 314 00:15:21,120 --> 00:15:22,600 Speaker 1: I do what I do is because I feel like 315 00:15:23,240 --> 00:15:26,240 Speaker 1: there are objective truths that need to be understood, and 316 00:15:26,280 --> 00:15:28,280 Speaker 1: so probably for the rest of my life, this will 317 00:15:28,280 --> 00:15:31,920 Speaker 1: be my life's work, is helping people of all walks 318 00:15:31,960 --> 00:15:35,680 Speaker 1: of life, of all vocations understand the science that I've seen. 319 00:15:36,000 --> 00:15:38,880 Speaker 1: And I'll be debating vegans and plant based people forever, forever, 320 00:15:39,000 --> 00:15:41,040 Speaker 1: trying to help people understand that what they're saying, in 321 00:15:41,080 --> 00:15:44,840 Speaker 1: my opinion, is so badly mistaken and the reason you're misled. 322 00:15:45,120 --> 00:15:46,920 Speaker 1: I suppose you understand this, but the reason a lot 323 00:15:46,920 --> 00:15:50,000 Speaker 1: of people are mislead is because of epidemiology, and we 324 00:15:50,000 --> 00:15:51,680 Speaker 1: can get into what that is and why the science 325 00:15:51,760 --> 00:15:54,480 Speaker 1: is not all the same, but there's it's not being 326 00:15:54,560 --> 00:15:58,560 Speaker 1: sold to us accurately. We're being told things that are 327 00:15:58,560 --> 00:16:01,640 Speaker 1: based on studies that are servational, they're not actually interventional, 328 00:16:01,760 --> 00:16:04,040 Speaker 1: real science, and it's very hard for someone that's not 329 00:16:04,080 --> 00:16:07,440 Speaker 1: a medical doctor or a medical researcher to understand that. 330 00:16:07,800 --> 00:16:10,760 Speaker 1: So we are being misled. And what's cool is that 331 00:16:10,800 --> 00:16:13,640 Speaker 1: I think that people will eventually realize what you've realized. 332 00:16:14,080 --> 00:16:16,640 Speaker 1: If you eat animal meat and organs from well raised animals, 333 00:16:16,680 --> 00:16:19,560 Speaker 1: you are going to thrive. You're gonna feel good, your 334 00:16:19,600 --> 00:16:21,680 Speaker 1: kids are gonna be healthy, you're gonna be fertile, you're 335 00:16:21,680 --> 00:16:24,200 Speaker 1: gonna have a healthy baby. Your depression might get better. 336 00:16:24,200 --> 00:16:26,080 Speaker 1: I've seen autoimmune disease get better. And you're gonna go, 337 00:16:26,160 --> 00:16:28,080 Speaker 1: wait a minute, there's so much cognitive ausness here. How 338 00:16:28,080 --> 00:16:30,360 Speaker 1: can this be bad for me? And I want to 339 00:16:30,360 --> 00:16:32,240 Speaker 1: be the voice or one of the voices who says 340 00:16:32,280 --> 00:16:34,400 Speaker 1: it's not bad for you, and that spark comes on 341 00:16:34,440 --> 00:16:36,000 Speaker 1: in your brain and you go, of course, it's not 342 00:16:36,080 --> 00:16:39,080 Speaker 1: bad for me. I'm being misled. This is bad information. 343 00:16:39,520 --> 00:16:43,080 Speaker 1: I don't necessarily believe that there are evil people out 344 00:16:43,120 --> 00:16:45,160 Speaker 1: there or that they're trying to do harm. I just 345 00:16:45,160 --> 00:16:47,760 Speaker 1: think that people are not they're not thinking about it properly. 346 00:16:47,800 --> 00:16:49,960 Speaker 1: In the plant based world, where did it come from? 347 00:16:49,960 --> 00:16:52,000 Speaker 1: Like where, Like I don't even know what year it 348 00:16:52,080 --> 00:16:54,600 Speaker 1: was or approximately the all of a sudden that because 349 00:16:54,600 --> 00:16:56,400 Speaker 1: I grew up thinking, you know what, if I just 350 00:16:56,680 --> 00:17:00,720 Speaker 1: a broccoli probably every day, all day, maybe an apple, 351 00:17:00,920 --> 00:17:04,400 Speaker 1: I'd be like the ma is healthiest person in the world, right, 352 00:17:04,480 --> 00:17:07,399 Speaker 1: Like because the food pyramid? Man? Was it just the 353 00:17:07,440 --> 00:17:09,919 Speaker 1: food pyramid? That's the earliest thing I remember is you 354 00:17:09,920 --> 00:17:11,879 Speaker 1: had to like fill in that little pyramid. I don't know. 355 00:17:12,040 --> 00:17:13,600 Speaker 1: I mean, I don't know. I'm guessing. But where is 356 00:17:13,640 --> 00:17:16,119 Speaker 1: this as a society did it? I think we know 357 00:17:16,160 --> 00:17:19,080 Speaker 1: it because if you go back to its three generations, 358 00:17:19,720 --> 00:17:21,680 Speaker 1: it wasn't that way, right, you go back to your 359 00:17:21,680 --> 00:17:24,840 Speaker 1: parents parents, they understood that meat was valuable, and that 360 00:17:24,960 --> 00:17:27,159 Speaker 1: meat was something that was more expensive because it was 361 00:17:27,200 --> 00:17:31,440 Speaker 1: more valuable nutritionally. It's really only in the last seventy years, 362 00:17:31,480 --> 00:17:33,240 Speaker 1: and you can trace it back to ansel keys in 363 00:17:33,240 --> 00:17:36,879 Speaker 1: the nineteen sixties. There's a series of epidemiology studies that 364 00:17:36,920 --> 00:17:41,119 Speaker 1: were done that began to vilify saturated fat, and I 365 00:17:41,200 --> 00:17:44,240 Speaker 1: was just about to do that. So epidemiology is observational research. 366 00:17:44,560 --> 00:17:47,080 Speaker 1: It's a survey. They're going to take a thousand or 367 00:17:47,080 --> 00:17:49,359 Speaker 1: ten thousand people in hand them a survey that says, 368 00:17:49,880 --> 00:17:51,480 Speaker 1: what did you eat for the last ten years, how 369 00:17:51,560 --> 00:17:54,600 Speaker 1: much McDonald's, how many steaks, how many French fries, how 370 00:17:54,600 --> 00:17:56,239 Speaker 1: many of these things? You know, how many things did 371 00:17:56,240 --> 00:17:58,280 Speaker 1: you eat like this? And then they're gonna look at 372 00:17:58,280 --> 00:18:01,960 Speaker 1: how healthy those people are. And in Western countries, in 373 00:18:02,040 --> 00:18:04,720 Speaker 1: Western countries, that's a really important point because I'll contrast 374 00:18:04,720 --> 00:18:07,800 Speaker 1: it with Eastern countries in a moment. But in Western countries, 375 00:18:07,840 --> 00:18:10,840 Speaker 1: if you do that epidemiology today and like we've been 376 00:18:10,880 --> 00:18:14,040 Speaker 1: doing it for the last fifty to sixty years, oftentimes 377 00:18:14,080 --> 00:18:17,840 Speaker 1: you will see an association, a correlation between people eating 378 00:18:17,840 --> 00:18:22,840 Speaker 1: red meat and adverse health outcomes. But we know, yeah, 379 00:18:23,000 --> 00:18:26,920 Speaker 1: we know, correlation does not causation make We can't draw 380 00:18:27,000 --> 00:18:31,600 Speaker 1: a causative inference from a correlation. And these epidemiology studies, 381 00:18:31,640 --> 00:18:34,840 Speaker 1: these observational studies, were never meant to do that. They 382 00:18:34,840 --> 00:18:38,080 Speaker 1: were meant to degenerate a hypothesis, a guess which you 383 00:18:38,200 --> 00:18:41,560 Speaker 1: then test with interventional studies, And interventional studies with red 384 00:18:41,600 --> 00:18:43,080 Speaker 1: meat have been done, they're just never talked about on 385 00:18:43,119 --> 00:18:45,080 Speaker 1: the evening news. We'll get to those. They don't show 386 00:18:45,080 --> 00:18:49,240 Speaker 1: any problems with meat, But the epidemiology studies show often 387 00:18:49,359 --> 00:18:51,760 Speaker 1: not all the time, but often in Western countries with 388 00:18:51,840 --> 00:18:57,000 Speaker 1: Western narratives, that meat is associated with bad outcomes. Now 389 00:18:57,119 --> 00:18:59,359 Speaker 1: here's the question I have for you, guys. How many 390 00:18:59,400 --> 00:19:01,920 Speaker 1: times have you you've been to a barbecue and seen 391 00:19:02,040 --> 00:19:05,159 Speaker 1: someone only eat meat? They just eat a hamburger patty. 392 00:19:05,240 --> 00:19:06,919 Speaker 1: They don't need anything else with it. There's no catchup, 393 00:19:06,960 --> 00:19:09,400 Speaker 1: there's no bun, there's no mayonnaise, there's no French fries, 394 00:19:09,440 --> 00:19:11,840 Speaker 1: there's no cold slaw, there's no potato salad. How many 395 00:19:11,840 --> 00:19:13,879 Speaker 1: times you ever seen that happen? How many times have 396 00:19:13,920 --> 00:19:16,280 Speaker 1: you ever seen someone walking to McDonald's and just get 397 00:19:16,280 --> 00:19:19,480 Speaker 1: a hamburger patty five year old and bought him a 398 00:19:19,520 --> 00:19:22,040 Speaker 1: hot dog and only gave him the hot dog. You 399 00:19:22,119 --> 00:19:24,880 Speaker 1: might see that result, right, right, maybe, but he might 400 00:19:24,920 --> 00:19:27,439 Speaker 1: eat the bun. He might you might wonder later like 401 00:19:27,440 --> 00:19:29,040 Speaker 1: what happened to the bunks? He's just standing there at 402 00:19:29,040 --> 00:19:31,320 Speaker 1: the hot I think at the height of atkins. I 403 00:19:31,440 --> 00:19:33,760 Speaker 1: might have seen it once for a restaurant or someone 404 00:19:33,880 --> 00:19:37,639 Speaker 1: literally just ate two two hamburger patties on that plate. Right, 405 00:19:37,720 --> 00:19:39,440 Speaker 1: I've never seen it, but you get my point, right, 406 00:19:39,920 --> 00:19:44,240 Speaker 1: People who eat meat generally we because we have been told, 407 00:19:44,280 --> 00:19:46,400 Speaker 1: because you guys have heard this narrative. You just told me. 408 00:19:46,920 --> 00:19:48,960 Speaker 1: We've been told a narrative throughout our whole life for 409 00:19:49,000 --> 00:19:51,040 Speaker 1: the last sixty years that red meat is bad for you. 410 00:19:51,440 --> 00:19:53,560 Speaker 1: So who eats red meat. It's people that are out 411 00:19:53,560 --> 00:19:55,840 Speaker 1: there and they're ape hangers on the harley with tats 412 00:19:55,880 --> 00:19:58,840 Speaker 1: and the Hell's Angels or the hot you know, wild hogs. 413 00:19:58,840 --> 00:20:01,920 Speaker 1: They're doing other rebellious stuff. They're looking at this health 414 00:20:01,920 --> 00:20:03,800 Speaker 1: advice and going, I don't care about health advice. I'm 415 00:20:03,800 --> 00:20:05,880 Speaker 1: going to discard that health advice and every other piece 416 00:20:05,920 --> 00:20:08,120 Speaker 1: of health advice there is. I'm not going to exercise, 417 00:20:08,119 --> 00:20:10,199 Speaker 1: I'm not gonna get a colonoscope or a mammograham. I'm 418 00:20:10,200 --> 00:20:12,920 Speaker 1: gonna smoke, I'm gonna ride this motorcycle. I'm not gonna 419 00:20:12,920 --> 00:20:14,919 Speaker 1: get in the sun. I'm gonna eat French fries with 420 00:20:14,960 --> 00:20:19,320 Speaker 1: my hamburgers, drink alcohol. And so this is the problem. 421 00:20:19,400 --> 00:20:24,080 Speaker 1: You can't epidemiology studies cannot differentiate the meat from everything 422 00:20:24,119 --> 00:20:25,879 Speaker 1: that gets eaten with the meat. And how often do 423 00:20:26,000 --> 00:20:27,639 Speaker 1: things get eaten with the meat that might also be 424 00:20:27,680 --> 00:20:29,919 Speaker 1: causing problems. And we can get into this, and I 425 00:20:29,960 --> 00:20:32,760 Speaker 1: think that the real the real problem, and this will 426 00:20:32,800 --> 00:20:34,760 Speaker 1: be interesting free listeners here. The real problem is not 427 00:20:34,840 --> 00:20:37,119 Speaker 1: the meat. It's not the liver, it's not the hamburgers. 428 00:20:37,440 --> 00:20:40,399 Speaker 1: The real problem is the processed food. And the reason 429 00:20:40,440 --> 00:20:43,280 Speaker 1: the processed food is bad is because of process vegetable oils. 430 00:20:43,320 --> 00:20:45,200 Speaker 1: And we can get into that when the time has come. 431 00:20:45,240 --> 00:20:47,600 Speaker 1: But fast is vegged boils and little leic acid, like 432 00:20:47,680 --> 00:20:50,600 Speaker 1: this is the real thing driving problems. And if you 433 00:20:50,640 --> 00:20:54,359 Speaker 1: look at meat, it is so often eaten with vegetable oils, 434 00:20:54,400 --> 00:20:56,680 Speaker 1: and so many processed foods have these vegetable oils and 435 00:20:56,720 --> 00:20:59,240 Speaker 1: the linoleic acid, which is a complex word in there. 436 00:20:59,560 --> 00:21:00,879 Speaker 1: So that's a alto the rabbit hole we have to 437 00:21:00,920 --> 00:21:03,159 Speaker 1: go down. But the point is people eat a lot 438 00:21:03,200 --> 00:21:04,520 Speaker 1: of junk food. They had a lot of sugar, they 439 00:21:04,520 --> 00:21:06,000 Speaker 1: eat a lot of bread, need a lot of alcohol 440 00:21:06,000 --> 00:21:10,399 Speaker 1: and cigarettes with meat, and epidemiology can't differentiate. But every 441 00:21:10,400 --> 00:21:12,840 Speaker 1: time you or I or anyone, here's on the news 442 00:21:12,880 --> 00:21:17,760 Speaker 1: red meat is associated with X. That word is associated. 443 00:21:18,080 --> 00:21:20,680 Speaker 1: You will never hear on the news red meat causes 444 00:21:21,280 --> 00:21:24,119 Speaker 1: because if you actually look at the interventional studies, the 445 00:21:24,119 --> 00:21:26,880 Speaker 1: studies where they actually go to a laboratory or they 446 00:21:26,920 --> 00:21:28,800 Speaker 1: take people and they do they do an interventional trial. 447 00:21:28,840 --> 00:21:31,040 Speaker 1: They'll take a hundred people and they're saying, okay, this 448 00:21:31,080 --> 00:21:32,760 Speaker 1: study has actually been done and I referenced it in 449 00:21:32,800 --> 00:21:34,880 Speaker 1: the book. They said, okay, we want you to remove 450 00:21:35,680 --> 00:21:38,399 Speaker 1: we want you to remove two fifty calories from your 451 00:21:38,440 --> 00:21:40,720 Speaker 1: diet of carbohydrates, and we're gonna have you put in 452 00:21:40,760 --> 00:21:42,639 Speaker 1: eight ounces of red meat per day. And they follow 453 00:21:42,640 --> 00:21:44,840 Speaker 1: those people with the control groups. They have two groups. 454 00:21:45,080 --> 00:21:47,320 Speaker 1: One group has eight ounces of red meat half a pound, 455 00:21:47,320 --> 00:21:50,280 Speaker 1: pretty substantial amount of red meat in their diet extra 456 00:21:50,359 --> 00:21:52,680 Speaker 1: per day. The other group has diet as usual and 457 00:21:52,720 --> 00:21:55,520 Speaker 1: they follow them for eight, six, ten weeks and they 458 00:21:55,520 --> 00:21:58,520 Speaker 1: look at the end of the study, the group with 459 00:21:58,560 --> 00:22:02,440 Speaker 1: more red meat is better. They have lower inflammatory markers, 460 00:22:02,600 --> 00:22:04,879 Speaker 1: lower inflammatory market. I'm getting the buzzs. I can't tell 461 00:22:04,880 --> 00:22:06,359 Speaker 1: if it's from the liver pills or because of what 462 00:22:06,400 --> 00:22:11,080 Speaker 1: you're telling because you're so excited about meat. Well, many 463 00:22:11,119 --> 00:22:13,120 Speaker 1: things given me a buzz and you haven't even gotten 464 00:22:13,160 --> 00:22:17,080 Speaker 1: into it yet. But um, I recently switched and started cooking. 465 00:22:17,560 --> 00:22:20,000 Speaker 1: When I fry fish, I fry it and be fat, 466 00:22:22,560 --> 00:22:26,359 Speaker 1: don't I switched. And here's the thing. Every time I 467 00:22:26,440 --> 00:22:28,640 Speaker 1: fired that thing up, I feel guilty, but I also 468 00:22:28,720 --> 00:22:30,560 Speaker 1: feel like, but I just want this. I like it 469 00:22:30,640 --> 00:22:32,960 Speaker 1: better and it's better. But I feel like something the 470 00:22:33,000 --> 00:22:35,080 Speaker 1: back of my heads tell me I'm being bad, and 471 00:22:35,359 --> 00:22:37,080 Speaker 1: I'm always doing like what I think it makes sense. 472 00:22:37,160 --> 00:22:39,040 Speaker 1: It's like, there's what I think, like as a human 473 00:22:39,119 --> 00:22:41,960 Speaker 1: being who studies sort of human history, world history, whatever, 474 00:22:42,520 --> 00:22:45,920 Speaker 1: like I do things that I think makes sense, right, 475 00:22:45,960 --> 00:22:48,800 Speaker 1: I can just see it, But then I'm always in 476 00:22:48,840 --> 00:22:50,960 Speaker 1: the back of my head is like that someone told 477 00:22:51,000 --> 00:22:53,359 Speaker 1: me that it's bad, but it goes against what my 478 00:22:53,440 --> 00:22:55,359 Speaker 1: general tendency would be. Like if I could take an 479 00:22:55,400 --> 00:22:58,520 Speaker 1: animal and it has fat on it and nothing's just 480 00:22:58,560 --> 00:23:00,639 Speaker 1: been out like feeding on grass, it has fat, and 481 00:23:00,680 --> 00:23:03,000 Speaker 1: I make an oil from that, It's like, I'm like, 482 00:23:03,560 --> 00:23:07,000 Speaker 1: it's hard for me to picture that. That's worse for 483 00:23:07,119 --> 00:23:09,800 Speaker 1: me than some ship a chemist made, and it's it's 484 00:23:09,840 --> 00:23:11,359 Speaker 1: just hard for me to get there. But I'm like, 485 00:23:11,440 --> 00:23:13,360 Speaker 1: but I have to accept that it's true, because I've 486 00:23:13,400 --> 00:23:17,479 Speaker 1: been told kind of exactly. And so before nineteen eleven, 487 00:23:17,800 --> 00:23:19,680 Speaker 1: there was no such thing as vegetable oil. In fact, 488 00:23:19,720 --> 00:23:23,600 Speaker 1: before eighteen sixty five, So in eighteen sixty five, cotton 489 00:23:23,640 --> 00:23:26,880 Speaker 1: seed oil was made from cotton seeds. These are not food. 490 00:23:27,040 --> 00:23:30,840 Speaker 1: Nobody eats cotton seeds. In nineteen eleven, Crisco was founded 491 00:23:30,840 --> 00:23:33,720 Speaker 1: and they started making vegetable oil. And ever since, between 492 00:23:33,800 --> 00:23:36,240 Speaker 1: eighteen sixty five and nineteen eleven, human health got a 493 00:23:36,240 --> 00:23:38,520 Speaker 1: little bit worse. But between nineteen eleven and now we've 494 00:23:38,640 --> 00:23:41,800 Speaker 1: just absolutely we've tanked. If you look at the rates 495 00:23:41,800 --> 00:23:43,760 Speaker 1: of diabetes, if you look at the rates of chronic disease, 496 00:23:43,800 --> 00:23:47,560 Speaker 1: they are skyrocketing in the last hundred years, and they're 497 00:23:47,720 --> 00:23:50,040 Speaker 1: really going up since the nineteen seventies and nineteen eighties. 498 00:23:50,640 --> 00:23:52,960 Speaker 1: And so vegetable oil was not even a thing. It 499 00:23:53,040 --> 00:23:56,520 Speaker 1: didn't even exist. Our ancestors, our parents and grandparents really 500 00:23:56,520 --> 00:23:59,239 Speaker 1: are great grandparents. And like the early eighteen hundreds, all 501 00:23:59,280 --> 00:24:01,200 Speaker 1: those people who died and they were in that cemetery 502 00:24:01,280 --> 00:24:02,960 Speaker 1: last night that I saw who died in eighteen eighty, 503 00:24:03,359 --> 00:24:05,400 Speaker 1: they were not eating vegetable oil. It didn't even exist. 504 00:24:05,480 --> 00:24:08,080 Speaker 1: They were eating tallow and lard, and the pigs that 505 00:24:08,119 --> 00:24:10,080 Speaker 1: were making that large we're not fed on corn and soy. 506 00:24:10,119 --> 00:24:12,439 Speaker 1: They were just fed on you know, things pigs are 507 00:24:12,440 --> 00:24:16,840 Speaker 1: supposed to eat, but the talents, grasshoppers and carrots, and 508 00:24:16,920 --> 00:24:18,760 Speaker 1: you know, they were just doing things wild hogs are 509 00:24:18,760 --> 00:24:22,000 Speaker 1: supposed to eat. And those ancestral animal fats are what 510 00:24:22,080 --> 00:24:25,920 Speaker 1: are treasured in indigenous cultures. And that's what we see 511 00:24:25,960 --> 00:24:28,680 Speaker 1: over and over that there was really in the medical literature. 512 00:24:29,600 --> 00:24:31,560 Speaker 1: There was really no such thing as a heart attack 513 00:24:32,200 --> 00:24:36,879 Speaker 1: until the realties early nineteen ten, that type of region, 514 00:24:37,240 --> 00:24:38,840 Speaker 1: and we didn't even think about heart attacks and as 515 00:24:38,840 --> 00:24:41,560 Speaker 1: American people until the nineteen fifties when Eisenhower, I believe, 516 00:24:41,960 --> 00:24:43,800 Speaker 1: had his heart attack. So it's just been it's a 517 00:24:43,880 --> 00:24:46,320 Speaker 1: new invention. It didn't even happen when we were eating 518 00:24:46,320 --> 00:24:48,280 Speaker 1: animal fats. But people used to in the old days, 519 00:24:48,320 --> 00:24:52,280 Speaker 1: people like when I was even like my grandparents, you 520 00:24:52,400 --> 00:24:54,560 Speaker 1: just people used to say that he died of old age. 521 00:24:55,440 --> 00:24:57,040 Speaker 1: But I think now we just putting names to it. 522 00:24:57,440 --> 00:25:00,400 Speaker 1: I'm gonna go back to sameing people died of old age. Well, people, 523 00:25:00,840 --> 00:25:02,479 Speaker 1: no one dies old agian more. Now they die from 524 00:25:02,520 --> 00:25:05,119 Speaker 1: something very specific that was like diagnosed, right, but you 525 00:25:05,200 --> 00:25:08,600 Speaker 1: just bucket at all as being Yeah, so I don't know, 526 00:25:08,760 --> 00:25:10,439 Speaker 1: but I don't know. If people were dying in heart attacks, 527 00:25:10,640 --> 00:25:12,320 Speaker 1: they're just dying. They get old and died and no 528 00:25:12,359 --> 00:25:14,440 Speaker 1: one knew why they died. Well, I think that what 529 00:25:14,840 --> 00:25:16,719 Speaker 1: what we knew of medicine then was different. But even 530 00:25:16,760 --> 00:25:18,920 Speaker 1: in the early nine hundreds, there was really no no 531 00:25:19,080 --> 00:25:21,000 Speaker 1: heart attack in the medical literature. People didn't like go 532 00:25:21,160 --> 00:25:22,840 Speaker 1: and say, oh my god, I have so much pain 533 00:25:22,880 --> 00:25:24,840 Speaker 1: in my chest. You know, people didn't have that. They 534 00:25:24,880 --> 00:25:27,040 Speaker 1: would die in ammonia or infections or things like that. 535 00:25:27,760 --> 00:25:29,600 Speaker 1: But heart attacks are I mean, we we could tell 536 00:25:29,640 --> 00:25:31,960 Speaker 1: when the heart arteries are blocked, or you could tell 537 00:25:32,040 --> 00:25:34,080 Speaker 1: if if somebody has like this heart attack and they 538 00:25:34,160 --> 00:25:35,920 Speaker 1: have this pain in their chest. It just wasn't even 539 00:25:35,960 --> 00:25:38,320 Speaker 1: something that we recorded until then. And even in the 540 00:25:38,359 --> 00:25:41,560 Speaker 1: early thirties it was rare. As we were getting more 541 00:25:41,600 --> 00:25:43,159 Speaker 1: and more medical knowledge and getting a sense of the 542 00:25:43,200 --> 00:25:45,200 Speaker 1: heart and how it worked, and then over time it 543 00:25:45,280 --> 00:25:47,159 Speaker 1: just got to be more and more common. And so 544 00:25:47,280 --> 00:25:51,720 Speaker 1: you're absolutely right, Steve. Vegetable oil is completely synthetic and 545 00:25:51,840 --> 00:25:55,359 Speaker 1: something humans would have never eaten, and the amount of 546 00:25:55,440 --> 00:25:57,719 Speaker 1: this fatty acid in there, literally like acid is really 547 00:25:57,760 --> 00:26:01,800 Speaker 1: giving our bodies this evolutionarily inconsistent, ignally causing massive problems. 548 00:26:01,840 --> 00:26:04,200 Speaker 1: Not to mention that because of the molecular structure this oil, 549 00:26:04,800 --> 00:26:07,600 Speaker 1: it oxidizes, it becomes rancid very quickly, and in order 550 00:26:07,600 --> 00:26:09,840 Speaker 1: for us to eat it and not notice that and 551 00:26:09,920 --> 00:26:11,760 Speaker 1: not just spit it out because it tastes like garbage, 552 00:26:11,760 --> 00:26:14,080 Speaker 1: it has to be bleached and deodorized. But you're right, 553 00:26:14,119 --> 00:26:15,600 Speaker 1: it's made in a lab. If you look at the 554 00:26:15,600 --> 00:26:18,840 Speaker 1: way vegetable oil is made, there's nothing there's nothing natural. 555 00:26:18,840 --> 00:26:22,160 Speaker 1: There's nothing, you know, even that that our answers could 556 00:26:22,200 --> 00:26:23,600 Speaker 1: have ever done with that. Our answers could have never 557 00:26:23,760 --> 00:26:27,359 Speaker 1: ground a cotton seed or a rape seed, or you know, 558 00:26:27,440 --> 00:26:31,200 Speaker 1: a soybean into oil. They could have never done these things. Yeah, 559 00:26:31,200 --> 00:26:35,040 Speaker 1: I was just gonna ask. Yeah, olive oil is different. 560 00:26:35,480 --> 00:26:37,639 Speaker 1: So when I think about oils, I think about and 561 00:26:37,680 --> 00:26:39,720 Speaker 1: again I don't want to get too technical, but I 562 00:26:39,800 --> 00:26:42,280 Speaker 1: think about the linoleic acid content in that oil. Linoleic 563 00:26:42,320 --> 00:26:45,600 Speaker 1: acid is an omega six polyon saturated fat, and olive 564 00:26:45,640 --> 00:26:48,800 Speaker 1: oil is about ten lintilic acid and it's mostly mono 565 00:26:48,840 --> 00:26:51,119 Speaker 1: one saturated fat. Which is oleic acid, which is actually 566 00:26:51,119 --> 00:26:53,480 Speaker 1: a fat that our body makes, is an eighteen carbon 567 00:26:54,040 --> 00:26:57,720 Speaker 1: monoe saturated fat called oleic acid. We don't make linoleic 568 00:26:57,760 --> 00:26:59,760 Speaker 1: acid in the human body. We need a small amount, 569 00:26:59,840 --> 00:27:02,159 Speaker 1: but we store extra, which means when you're eating foods 570 00:27:02,160 --> 00:27:04,879 Speaker 1: that are drenched and vegetable oil, you're storing and storing 571 00:27:05,080 --> 00:27:07,720 Speaker 1: and storing it, and that leads to major problems. So 572 00:27:07,800 --> 00:27:10,760 Speaker 1: olive oil is isn't isn't much better oil to eat. 573 00:27:11,000 --> 00:27:13,000 Speaker 1: I think that I'm with Steve. I only eat tallow. 574 00:27:13,400 --> 00:27:15,119 Speaker 1: I want to eat animal fats because that's going to 575 00:27:15,200 --> 00:27:17,679 Speaker 1: have more of the nutrients. But olive oil is probably 576 00:27:17,920 --> 00:27:19,760 Speaker 1: even better than vegetable oil. But if you're gonna cook 577 00:27:19,760 --> 00:27:20,960 Speaker 1: in an oil, you gotta be a little careful. You 578 00:27:20,960 --> 00:27:22,920 Speaker 1: don't want to eat it too much. But this is 579 00:27:23,000 --> 00:27:24,480 Speaker 1: the point that a lot of the foods that were 580 00:27:24,520 --> 00:27:28,119 Speaker 1: told are healthy for us are completely contrived. I mean, 581 00:27:28,240 --> 00:27:30,880 Speaker 1: kale has the best publicist in the whole world. When 582 00:27:30,920 --> 00:27:33,200 Speaker 1: did we start thinking that broccoli and kale were healthy? 583 00:27:33,680 --> 00:27:36,440 Speaker 1: So I just want to go back and complete. I 584 00:27:36,520 --> 00:27:39,159 Speaker 1: want to go back and completely laughing as we got 585 00:27:39,280 --> 00:27:41,840 Speaker 1: like I got like a kale pass you wouldn't begin 586 00:27:41,920 --> 00:27:45,639 Speaker 1: to comprehend in my garden and um, and we were 587 00:27:45,680 --> 00:27:49,960 Speaker 1: talking about how kale like growing up whatever, you didn't 588 00:27:49,960 --> 00:27:51,960 Speaker 1: pay attention to it. Well, holy ship, people are high 589 00:27:52,000 --> 00:27:54,919 Speaker 1: on kale. People like kale. It's kind of good publicist, man. 590 00:27:54,960 --> 00:27:56,840 Speaker 1: But it doesn't love you back. And we can talk 591 00:27:56,880 --> 00:28:00,480 Speaker 1: about why. But you were saying something earlier about broccoli, 592 00:28:01,320 --> 00:28:03,600 Speaker 1: and that narrative is what's been told to all of us. 593 00:28:03,840 --> 00:28:06,760 Speaker 1: And so there's both the unhealthy user bias, which is 594 00:28:06,760 --> 00:28:08,239 Speaker 1: all the people who are eating red meat and all 595 00:28:08,240 --> 00:28:10,639 Speaker 1: this other bad stuff and all the people who are 596 00:28:10,680 --> 00:28:13,440 Speaker 1: eating vegetables are doing all the healthy stuff. And so 597 00:28:13,560 --> 00:28:15,800 Speaker 1: you see it over and over in Western cultures. But 598 00:28:15,920 --> 00:28:19,080 Speaker 1: if you if you look at epidemiology done in Asia, 599 00:28:19,320 --> 00:28:21,040 Speaker 1: and there's two studies in the book I mentioned with 600 00:28:21,160 --> 00:28:24,520 Speaker 1: over probably close to three thousand people between both studies. 601 00:28:24,600 --> 00:28:27,280 Speaker 1: If you look in Asia, the men who eat the 602 00:28:27,320 --> 00:28:29,679 Speaker 1: most red meat have the lowest rates of heart disease 603 00:28:30,240 --> 00:28:31,760 Speaker 1: and the women who eat the most red meat have 604 00:28:31,840 --> 00:28:35,680 Speaker 1: the lowest rates of cancer. Is red meat has read 605 00:28:35,720 --> 00:28:38,360 Speaker 1: meat good for Asians is good, you know, and and 606 00:28:38,480 --> 00:28:41,680 Speaker 1: bad for Westerners. No, the narrative is completely different. The 607 00:28:41,880 --> 00:28:45,960 Speaker 1: narrative because in Asia, red meat is associated with affluence. 608 00:28:46,200 --> 00:28:48,040 Speaker 1: Was I was thinking this might be That's where it 609 00:28:48,120 --> 00:28:50,720 Speaker 1: might red meat is affluence, so he eats red meat. 610 00:28:51,200 --> 00:28:53,440 Speaker 1: The people that are affluent, the people that are gonna 611 00:28:53,520 --> 00:28:55,440 Speaker 1: actually think about health behaviors, the people that have a 612 00:28:55,520 --> 00:28:58,280 Speaker 1: higher socio economic status, which allows more care to doctors, 613 00:28:58,320 --> 00:29:01,000 Speaker 1: which is going to give better health outcomes. So that's 614 00:29:01,080 --> 00:29:03,200 Speaker 1: the huge thing that we're seeing with epidemiology. It's telling 615 00:29:03,280 --> 00:29:06,800 Speaker 1: us about a cultural narrative. We can generate a hypothesis 616 00:29:06,840 --> 00:29:09,120 Speaker 1: and we have to test it, and those tests have 617 00:29:09,200 --> 00:29:11,840 Speaker 1: been done, but they don't get on the news. And 618 00:29:11,880 --> 00:29:14,960 Speaker 1: the tests clearly show red meat and organs are not 619 00:29:15,080 --> 00:29:16,959 Speaker 1: bad for humans, and why would they be. We've been 620 00:29:17,000 --> 00:29:19,480 Speaker 1: eating them for millions of years. Can you touch on 621 00:29:19,600 --> 00:29:21,520 Speaker 1: something real quick? I mean you made the point great 622 00:29:21,560 --> 00:29:25,080 Speaker 1: by wat double background on it where you're talking about 623 00:29:25,200 --> 00:29:32,200 Speaker 1: the correlation causation thing. Um, I read a great explanation 624 00:29:32,240 --> 00:29:35,880 Speaker 1: this once for some group was putting out how pet 625 00:29:36,000 --> 00:29:40,960 Speaker 1: owners live longer, insinuating that, right, go get a pet 626 00:29:41,000 --> 00:29:43,080 Speaker 1: and you'll live longer. Remember reading like a sort of 627 00:29:43,160 --> 00:29:45,960 Speaker 1: deconstruction of what that meant about. Well, let's take a 628 00:29:45,960 --> 00:29:49,480 Speaker 1: look at pet owners in America versus non pet owners 629 00:29:49,520 --> 00:29:52,479 Speaker 1: in America. There are a lot of things that are 630 00:29:52,520 --> 00:29:55,959 Speaker 1: sort of in the package of pet owners that they 631 00:29:56,160 --> 00:29:59,920 Speaker 1: tend to have a home and some amount of expendable 632 00:30:00,040 --> 00:30:02,520 Speaker 1: income and on and on and on and so yes, 633 00:30:02,640 --> 00:30:05,240 Speaker 1: I would believe that that's true. I don't think it's 634 00:30:05,280 --> 00:30:08,440 Speaker 1: owning the pet that is making you live longer. Like, 635 00:30:08,680 --> 00:30:13,400 Speaker 1: how do you how do you describe that? Like that 636 00:30:13,600 --> 00:30:16,760 Speaker 1: problem that people run into. There's an amazing website called 637 00:30:16,800 --> 00:30:19,760 Speaker 1: Spurious Correlations dot com that's this very well, that's what 638 00:30:19,800 --> 00:30:22,800 Speaker 1: I'm trying to get at. Spurious correlations. Spurious correlations, And 639 00:30:22,880 --> 00:30:24,320 Speaker 1: I have a graphic, a couple of graphics of this 640 00:30:24,400 --> 00:30:26,760 Speaker 1: in the book. And you can see this correlation between 641 00:30:27,240 --> 00:30:30,440 Speaker 1: the divorce rate and Maine and the per capita margarine consumption, 642 00:30:31,280 --> 00:30:35,640 Speaker 1: and they're very highly correlated. They're extremely highly correlated. Absolutely, 643 00:30:35,680 --> 00:30:37,840 Speaker 1: it's in the book. Yeah. The idea with maine and 644 00:30:38,000 --> 00:30:40,440 Speaker 1: and the margarine is they're highly correlated. But are we 645 00:30:40,560 --> 00:30:42,560 Speaker 1: thinking that if people eat less margine, they're gonna get 646 00:30:42,560 --> 00:30:44,480 Speaker 1: divorced less? No, it makes no sense. It's just there 647 00:30:44,560 --> 00:30:47,640 Speaker 1: are things that happen in the world that are correlated 648 00:30:47,680 --> 00:30:49,880 Speaker 1: that have no actual cause of relationship. I mean, the 649 00:30:49,920 --> 00:30:52,240 Speaker 1: most hilarious one that's always quoted is the number of 650 00:30:52,280 --> 00:30:54,920 Speaker 1: movies Nicholas Cage appears in is highly correlated with, Like 651 00:30:55,600 --> 00:30:58,360 Speaker 1: I think it's something morbid like death, hangings by suicide 652 00:30:58,440 --> 00:31:00,840 Speaker 1: or something like that. And so you can see it. 653 00:31:00,880 --> 00:31:02,719 Speaker 1: There's these charts are in that website, so you can 654 00:31:02,760 --> 00:31:05,200 Speaker 1: and people would say, okay, nicknas Cage movies are causing people. 655 00:31:05,200 --> 00:31:08,479 Speaker 1: So a lot of people, a lot of people kill themselves. Right, 656 00:31:09,200 --> 00:31:11,560 Speaker 1: it's a highly correlated fact, but it doesn't mean that 657 00:31:11,640 --> 00:31:13,800 Speaker 1: they cause the same thing. You have to really break 658 00:31:13,800 --> 00:31:16,520 Speaker 1: it down. You generate a hypothesis and then you test it. 659 00:31:16,640 --> 00:31:18,240 Speaker 1: And when you really get to the nitty gritty and 660 00:31:18,280 --> 00:31:21,360 Speaker 1: you do the test, red meat is not harmful to humans. 661 00:31:21,440 --> 00:31:23,280 Speaker 1: But we never hear about that, And why would it be? 662 00:31:23,880 --> 00:31:25,400 Speaker 1: Why would a food And this is the kind of 663 00:31:25,560 --> 00:31:26,920 Speaker 1: this is the way that I think about this, and 664 00:31:26,920 --> 00:31:28,440 Speaker 1: I think you guys get this because you think about 665 00:31:28,440 --> 00:31:30,960 Speaker 1: it the same way. Why would something that has made 666 00:31:31,040 --> 00:31:33,960 Speaker 1: up the majority of the human diet that is crucial, 667 00:31:34,040 --> 00:31:36,000 Speaker 1: that caused all these unique nutrients that we were talking 668 00:31:36,000 --> 00:31:38,320 Speaker 1: about about the beginning of the show. I mean like, 669 00:31:38,680 --> 00:31:41,480 Speaker 1: you can't get beat twelve without eating meat. You can't 670 00:31:41,520 --> 00:31:44,360 Speaker 1: get colline and any significant amount without eating meat. You 671 00:31:44,480 --> 00:31:48,520 Speaker 1: can't be a an optimally functioning human without eating meat. 672 00:31:48,640 --> 00:31:51,160 Speaker 1: Why would it be bad for us? There's an amazing 673 00:31:51,240 --> 00:31:54,840 Speaker 1: set of studies where they gave vegetarians creatine. So creatine 674 00:31:54,920 --> 00:31:57,400 Speaker 1: is this muscle. It's a muscle derived molecule. It's a 675 00:31:57,400 --> 00:31:59,400 Speaker 1: molecule we find in the muscle in the brain that 676 00:31:59,480 --> 00:32:01,479 Speaker 1: holds onto a phosphate groups so it can donate. It's 677 00:32:01,520 --> 00:32:03,520 Speaker 1: a t P which is the energy currency of the body. 678 00:32:04,040 --> 00:32:06,760 Speaker 1: So we needed to think and run neurons and flex 679 00:32:06,840 --> 00:32:10,320 Speaker 1: muscles and things like this. When they give extra creatine 680 00:32:10,360 --> 00:32:13,719 Speaker 1: to vegetarians, they get smarter, They do better on memory 681 00:32:13,960 --> 00:32:17,560 Speaker 1: and recall tasks and court card sorting tasks. They get 682 00:32:17,640 --> 00:32:21,920 Speaker 1: smarter because they're creating deficient in their vegan and vegetarian diet. 683 00:32:22,720 --> 00:32:24,680 Speaker 1: Why would a food that provides us with all of 684 00:32:24,720 --> 00:32:27,960 Speaker 1: these unique nutrients be bad for us. This makes no sense, 685 00:32:28,600 --> 00:32:30,640 Speaker 1: and it begins to kind of crystallize when you think 686 00:32:30,640 --> 00:32:33,400 Speaker 1: about epidemiology. That's why we've been so misled, you know, 687 00:32:34,120 --> 00:32:37,440 Speaker 1: I think part of where it comes from you'll you'll 688 00:32:37,480 --> 00:32:42,280 Speaker 1: know is better than I do. But unexplained with using 689 00:32:42,320 --> 00:32:46,240 Speaker 1: a different example. Um, there's a group called the Wildlife 690 00:32:46,280 --> 00:32:51,160 Speaker 1: Conservation Society, okay, and they've always been opposed to UM, 691 00:32:52,200 --> 00:32:55,760 Speaker 1: wildlife trafficking Okay, So particularly trafficking and endangered species have 692 00:32:55,840 --> 00:32:59,720 Speaker 1: always resisted on a conservation standpoint. They've opposed you know, 693 00:33:00,400 --> 00:33:03,640 Speaker 1: markets that sell like illicit wildlife materials, okay, tiger hides, 694 00:33:03,920 --> 00:33:07,239 Speaker 1: you know whatever, panda bear clause. What have you um? 695 00:33:08,160 --> 00:33:13,520 Speaker 1: When COVID hit, they took a new tact where they're like, 696 00:33:14,120 --> 00:33:19,320 Speaker 1: see wildlife, we told you wildlife markets are bad. It 697 00:33:19,440 --> 00:33:22,440 Speaker 1: gave us COVID, but it was like, I know that 698 00:33:22,560 --> 00:33:25,680 Speaker 1: you believe wildlife markets are bad, but you've always said 699 00:33:25,720 --> 00:33:28,800 Speaker 1: wildlife markets are bad because it encourages illicit trade and 700 00:33:28,920 --> 00:33:32,520 Speaker 1: endangered species. You could point out to me that here's 701 00:33:32,560 --> 00:33:34,800 Speaker 1: another reason, but you can't have it be that the 702 00:33:34,880 --> 00:33:37,880 Speaker 1: whole reason switched and now we should hate wildlife markets 703 00:33:37,920 --> 00:33:41,000 Speaker 1: because what you really want is you want wildlife markets 704 00:33:41,080 --> 00:33:43,840 Speaker 1: to go away because you're trying to protect endangered species. 705 00:33:44,040 --> 00:33:49,920 Speaker 1: You're now being opportunistic by attaching your argument to COVID transmission. 706 00:33:50,640 --> 00:33:52,840 Speaker 1: And I think that a big Like much of the 707 00:33:53,360 --> 00:33:56,680 Speaker 1: anti I think much of the anti meat thing is 708 00:33:56,760 --> 00:33:59,600 Speaker 1: they're saying, I don't want people to be mean to animals. 709 00:33:59,640 --> 00:34:02,920 Speaker 1: I don't want that would be animal exploitation. Um, that's 710 00:34:02,920 --> 00:34:06,400 Speaker 1: only gonna fly with so many people. My message will 711 00:34:07,680 --> 00:34:11,640 Speaker 1: resonate with far more people if I could make a 712 00:34:11,719 --> 00:34:14,799 Speaker 1: health thing. And I think that's like a huge part 713 00:34:14,840 --> 00:34:17,080 Speaker 1: of this. It's a it's a very big part of it. 714 00:34:17,080 --> 00:34:19,120 Speaker 1: And I think that a lot of people in the 715 00:34:19,280 --> 00:34:22,200 Speaker 1: plant based space, I believe are well intentioned. I just 716 00:34:22,320 --> 00:34:25,200 Speaker 1: think that they're not thinking about the studies properly, and 717 00:34:25,280 --> 00:34:27,120 Speaker 1: if you ask them, a lot of them do believe 718 00:34:27,239 --> 00:34:29,560 Speaker 1: morally that the consumption of animals is not a good thing. 719 00:34:30,360 --> 00:34:33,520 Speaker 1: And those are sticky arguments to get into with people. 720 00:34:34,000 --> 00:34:38,440 Speaker 1: I think that I try because I yeah, because I've hunted. 721 00:34:38,560 --> 00:34:41,000 Speaker 1: And I'll just state at a high level that if 722 00:34:41,040 --> 00:34:44,240 Speaker 1: you look at the regenerative agriculture space, which is grass feeding, 723 00:34:44,280 --> 00:34:48,000 Speaker 1: grass finishing of cows, and regenerative you know, rotational grazing, 724 00:34:48,280 --> 00:34:50,200 Speaker 1: that's essentially the way that bison and other ruminants have 725 00:34:50,239 --> 00:34:52,440 Speaker 1: always lived on the plains, and that that is carbon negative, 726 00:34:52,480 --> 00:34:55,000 Speaker 1: meaning it's sequesters more carbon into the soil than those 727 00:34:55,040 --> 00:34:57,080 Speaker 1: animals produce, and that's been the main that's been one 728 00:34:57,200 --> 00:34:59,440 Speaker 1: argument is sort of the the environmental argument. So to 729 00:34:59,520 --> 00:35:02,240 Speaker 1: say that owls are killing the planet is completely false 730 00:35:02,280 --> 00:35:05,320 Speaker 1: because they're not. It's just how they manufacture cow me 731 00:35:05,480 --> 00:35:08,920 Speaker 1: these days. In some sense, yes, but it's very it's 732 00:35:08,960 --> 00:35:12,480 Speaker 1: a deep rabbit hole because that also is very misleading 733 00:35:12,520 --> 00:35:15,040 Speaker 1: as well. And there's been conflation of data from the 734 00:35:15,160 --> 00:35:16,719 Speaker 1: f A O versus the e p A, And in 735 00:35:16,800 --> 00:35:18,320 Speaker 1: my book, I have a graphic of e p A 736 00:35:18,480 --> 00:35:20,880 Speaker 1: data showing that if you look at tail pipes and 737 00:35:20,920 --> 00:35:23,160 Speaker 1: tailpipe quote unquote, meaning if you look at the amount 738 00:35:23,200 --> 00:35:27,080 Speaker 1: of methane emissions in carbon dioxide equivalence, those are two 739 00:35:27,080 --> 00:35:29,360 Speaker 1: different molecules that if you look at the amount of 740 00:35:29,400 --> 00:35:31,600 Speaker 1: methane and carbon dioxide equivalence that comes out of a 741 00:35:31,680 --> 00:35:33,440 Speaker 1: cow versus what comes out of a tail pipe in 742 00:35:33,480 --> 00:35:36,960 Speaker 1: the United States, there's of a car. Those are essentially 743 00:35:37,040 --> 00:35:41,040 Speaker 1: tailpipe to tailpipe. There is no comparison, no comparison cars 744 00:35:41,080 --> 00:35:45,080 Speaker 1: and trucks and transportation is of the U S greenhouse 745 00:35:45,120 --> 00:35:47,160 Speaker 1: gas emissions. In two thousand sixteen, when this ep A 746 00:35:47,239 --> 00:35:50,080 Speaker 1: data came out and ruminants are one point nine percent, 747 00:35:50,160 --> 00:35:52,240 Speaker 1: and that includes even the k fos, the clustered animal 748 00:35:52,280 --> 00:35:55,479 Speaker 1: feeding operations. But I agree with you, you're talking about 749 00:35:55,520 --> 00:35:58,120 Speaker 1: one one point nine percent. Now, this is u S 750 00:35:58,239 --> 00:36:00,600 Speaker 1: data from the e p A and its tailpipe tailpipe. 751 00:36:01,000 --> 00:36:03,239 Speaker 1: What's so misleading is people will show data and plant 752 00:36:03,280 --> 00:36:05,400 Speaker 1: based circles with from the f a O. And the 753 00:36:05,480 --> 00:36:07,080 Speaker 1: f a O did a survey and they looked at 754 00:36:07,080 --> 00:36:10,360 Speaker 1: you worldwide data and they took life cycle analysis of 755 00:36:10,400 --> 00:36:12,680 Speaker 1: a cow and compared it to tailpipe emissions of a car. 756 00:36:13,200 --> 00:36:17,000 Speaker 1: Lifecycle analysis means how many carbon dioxide equivalents do we 757 00:36:17,239 --> 00:36:18,440 Speaker 1: do we use up or do we put in the 758 00:36:18,480 --> 00:36:20,239 Speaker 1: atmosphere in the whole life cycle of the cow. Well, 759 00:36:20,239 --> 00:36:21,400 Speaker 1: if we have to put them on a truck and 760 00:36:21,480 --> 00:36:23,960 Speaker 1: move them somewhere, what about the amount of carbon it 761 00:36:24,000 --> 00:36:25,920 Speaker 1: takes to run the factory that has to slaughter them. 762 00:36:26,280 --> 00:36:28,120 Speaker 1: What about the carbon it takes to run the store 763 00:36:28,200 --> 00:36:30,200 Speaker 1: that sells it to you. You know, that's the life 764 00:36:30,239 --> 00:36:32,719 Speaker 1: cycle of a cow in terms of carbon dioxide equivalents, 765 00:36:33,360 --> 00:36:35,560 Speaker 1: and they're comparing that to what comes out of the 766 00:36:35,560 --> 00:36:38,200 Speaker 1: tailpipe of a car. No one's ever done a life 767 00:36:38,239 --> 00:36:42,200 Speaker 1: cycle analysis. Oh well, well, they've they've never they've done that, 768 00:36:42,320 --> 00:36:44,160 Speaker 1: but they've never done lifecycle analysis of what comes out 769 00:36:44,200 --> 00:36:47,080 Speaker 1: of the end of your car. They've never done lifecycle 770 00:36:47,120 --> 00:36:51,520 Speaker 1: analysis of petroleum and transportation. So nobody knows. And this 771 00:36:51,640 --> 00:36:53,759 Speaker 1: is what's so crazy. And I really think that the 772 00:36:53,760 --> 00:36:57,920 Speaker 1: transportation industries are protecting themselves because they are hugely contributing 773 00:36:57,960 --> 00:36:59,920 Speaker 1: to this in a big way. You know, if you've 774 00:37:00,160 --> 00:37:03,200 Speaker 1: how much carbon dioxide equivalent or how much I mean, 775 00:37:03,280 --> 00:37:05,880 Speaker 1: they're sitting there going it's not us, it's the cows, 776 00:37:06,040 --> 00:37:09,840 Speaker 1: exactly exactly. And nobody's ever looked at the life cycle 777 00:37:09,920 --> 00:37:12,279 Speaker 1: of a plane or a train or a car drag 778 00:37:12,440 --> 00:37:15,920 Speaker 1: and all that metal out of the ground making roads. 779 00:37:16,600 --> 00:37:19,160 Speaker 1: You know how much it costs to maintain the car, 780 00:37:19,440 --> 00:37:20,759 Speaker 1: how much it cost to do the part. It's how 781 00:37:20,840 --> 00:37:24,040 Speaker 1: much it costs over the life cycle of the exactly right. 782 00:37:24,120 --> 00:37:27,759 Speaker 1: So all we come that nobody's done that. All we 783 00:37:27,760 --> 00:37:30,200 Speaker 1: can look at is tailpipe to tailpipe. And any PhD 784 00:37:30,360 --> 00:37:32,640 Speaker 1: students sitting out there looking for a dissertation, you're not 785 00:37:32,680 --> 00:37:37,760 Speaker 1: gonna get funding. Don't ask the auto industruper funding. Nobody's 786 00:37:37,800 --> 00:37:40,560 Speaker 1: gonna fund that, you know, because they don't want you 787 00:37:40,600 --> 00:37:42,960 Speaker 1: to know, so I'd be curious to hear from you 788 00:37:43,040 --> 00:37:46,480 Speaker 1: guys about your experiences with hunting. But I've haunted a 789 00:37:46,560 --> 00:37:49,640 Speaker 1: small amount, but I've found it very spiritual, and I 790 00:37:49,640 --> 00:37:52,560 Speaker 1: don't mean that to sound flipping. So I've haunted deer 791 00:37:52,960 --> 00:37:54,840 Speaker 1: three seasons now with my bow, and I've gotten a 792 00:37:54,920 --> 00:37:58,239 Speaker 1: deer twice, and both times that I've killed a deer 793 00:37:58,320 --> 00:38:00,320 Speaker 1: with my bow, it's been one of the most memorable 794 00:38:00,320 --> 00:38:02,759 Speaker 1: experiences my life. And the first thing I think of is, 795 00:38:03,480 --> 00:38:06,000 Speaker 1: holy sh it, I better live a good life because 796 00:38:06,080 --> 00:38:08,400 Speaker 1: this is a responsibility. This dear gave itself to me. 797 00:38:08,760 --> 00:38:13,200 Speaker 1: This is an incredibly, incredibly privileged position that I am 798 00:38:13,239 --> 00:38:14,960 Speaker 1: in to eat the most hutritious food on the planet. 799 00:38:15,880 --> 00:38:18,040 Speaker 1: And this is a this is a requirement. This is 800 00:38:18,040 --> 00:38:20,480 Speaker 1: an ask from however you think about the universe and 801 00:38:20,560 --> 00:38:22,719 Speaker 1: God and the spirituality in our place and all of it. 802 00:38:23,280 --> 00:38:25,160 Speaker 1: This is this is sort of life asking me to 803 00:38:25,440 --> 00:38:27,919 Speaker 1: be a good person. What I've realized from the work 804 00:38:28,080 --> 00:38:30,080 Speaker 1: I read this one the Tom Brown's book. You read 805 00:38:30,080 --> 00:38:34,880 Speaker 1: The Tracker Tom Brown, You read that, yeah, grandfather, and 806 00:38:34,960 --> 00:38:36,560 Speaker 1: point in that book says, in order for something to live, 807 00:38:36,600 --> 00:38:39,080 Speaker 1: something else must die. And it's so true. You know 808 00:38:39,239 --> 00:38:41,520 Speaker 1: that the lion on the planes doesn't feel bad about 809 00:38:41,560 --> 00:38:43,319 Speaker 1: killing the antelope. It's what it must do to live. 810 00:38:43,360 --> 00:38:45,040 Speaker 1: And it's part of the cycle of life. We're all 811 00:38:45,040 --> 00:38:46,960 Speaker 1: gonna die. I'm gonna be food for worms one day. 812 00:38:47,400 --> 00:38:49,920 Speaker 1: And if I'm out hiking it's on bobcat or cougar 813 00:38:50,040 --> 00:38:51,680 Speaker 1: decides to try and take me, I'm gonna fight. But 814 00:38:52,520 --> 00:38:54,000 Speaker 1: you know, maybe I'm part of the circle of life too, 815 00:38:54,000 --> 00:38:55,759 Speaker 1: and I'm going to accept that. And so it's the 816 00:38:55,880 --> 00:39:00,640 Speaker 1: it's the human burden. The human burden is um is 817 00:39:01,440 --> 00:39:07,399 Speaker 1: that like no other species has any remorse, any even 818 00:39:07,719 --> 00:39:13,839 Speaker 1: any even compassion for suffering. It's just amazingly and would 819 00:39:13,880 --> 00:39:17,960 Speaker 1: tell you otherwise to watch predators kill ship man, dude, 820 00:39:19,160 --> 00:39:23,440 Speaker 1: it just they just don't. I'm not criticizing them. I mean, 821 00:39:23,480 --> 00:39:26,759 Speaker 1: God bless him, but um, it's not that they're not 822 00:39:26,800 --> 00:39:28,080 Speaker 1: like I'm going to go in there and make a good, 823 00:39:28,160 --> 00:39:31,319 Speaker 1: clean kill. You know, it's just not on their mind, man. 824 00:39:31,640 --> 00:39:33,960 Speaker 1: And it's an interesting thing to think about, but that's 825 00:39:34,000 --> 00:39:37,480 Speaker 1: the way I imagine it. And so when people, I think, 826 00:39:37,520 --> 00:39:40,760 Speaker 1: if someone wants to want chooses not to the animals 827 00:39:40,840 --> 00:39:43,120 Speaker 1: because they don't want to cause suffering. I think that's 828 00:39:43,160 --> 00:39:46,120 Speaker 1: your choice. You know, that's your moral choice, and you 829 00:39:46,280 --> 00:39:47,880 Speaker 1: have to be careful about how it's going to affect 830 00:39:47,920 --> 00:39:49,600 Speaker 1: your own health. And will you come hunting with me 831 00:39:49,719 --> 00:39:51,279 Speaker 1: or somebody who has more experienced with me and see 832 00:39:51,320 --> 00:39:53,200 Speaker 1: what it's about and see what the responsibility is like 833 00:39:53,719 --> 00:39:56,320 Speaker 1: and realize that this is how we do what we 834 00:39:56,400 --> 00:39:57,640 Speaker 1: do on this earth. I mean, we kind of talked 835 00:39:57,640 --> 00:40:00,919 Speaker 1: about this at the beginning of the podcast. I what's 836 00:40:01,040 --> 00:40:03,279 Speaker 1: what I am so passionate about is helping as many 837 00:40:03,320 --> 00:40:06,720 Speaker 1: people as possible live well, live as fully as possible 838 00:40:06,880 --> 00:40:10,560 Speaker 1: by getting getting the nutrients into them that are lost, 839 00:40:10,719 --> 00:40:13,239 Speaker 1: these nose to tail nutrients with hard and soil, and 840 00:40:13,400 --> 00:40:15,919 Speaker 1: this eating animals knows to tail, understanding that animal foods 841 00:40:15,920 --> 00:40:18,560 Speaker 1: have been incorrectly vilified. In order for me to do 842 00:40:18,760 --> 00:40:21,520 Speaker 1: my work in this short life as well as possible, 843 00:40:21,600 --> 00:40:23,880 Speaker 1: I need to be nourished. I have to have nutrients. 844 00:40:23,960 --> 00:40:26,439 Speaker 1: So in order for me to carry out the mission 845 00:40:26,480 --> 00:40:29,560 Speaker 1: that I think is most important, like my responsibility is 846 00:40:29,600 --> 00:40:31,400 Speaker 1: to nourish this body. And I don't drink alcohol for 847 00:40:31,440 --> 00:40:32,799 Speaker 1: a lot of the same reasons. I just I want 848 00:40:32,800 --> 00:40:36,279 Speaker 1: to be a healthy individual. I can do something good. Okay, Yeah, 849 00:40:36,760 --> 00:40:38,120 Speaker 1: but I think that that's what we do, and we 850 00:40:38,160 --> 00:40:39,880 Speaker 1: need to nourish ourselves to do the work that we're 851 00:40:39,880 --> 00:40:42,320 Speaker 1: gonna do, and the nourishment has to come from animals. 852 00:40:42,320 --> 00:40:43,800 Speaker 1: And I don't think that we should feel bad about that. 853 00:40:44,640 --> 00:40:47,480 Speaker 1: That's an interesting point you bring up. And I guess 854 00:40:47,520 --> 00:40:50,800 Speaker 1: I had felt that a little bit but hadn't articulated it. 855 00:40:50,840 --> 00:40:53,919 Speaker 1: And we had a um the founder of a Black 856 00:40:54,040 --> 00:40:58,279 Speaker 1: Rifle coffee company was on the show and it was when, um, 857 00:40:59,360 --> 00:41:02,239 Speaker 1: it was early in the pandemic, and he said something 858 00:41:02,320 --> 00:41:06,520 Speaker 1: interesting to me where he was talking about, um, everybody 859 00:41:06,560 --> 00:41:08,600 Speaker 1: was stressed out right, like everybody's stressed out, and we're 860 00:41:08,640 --> 00:41:11,680 Speaker 1: kind of like everybody's like really analyzing their obligations and 861 00:41:11,920 --> 00:41:15,440 Speaker 1: and you know, you're like sort of triaging all the 862 00:41:15,520 --> 00:41:18,000 Speaker 1: things in your life. Because it was a few months ago. 863 00:41:18,000 --> 00:41:19,520 Speaker 1: Seems like a million years ago now, but like a 864 00:41:19,560 --> 00:41:21,799 Speaker 1: few months ago, everybody was kind of like, holy shit. 865 00:41:22,800 --> 00:41:24,320 Speaker 1: And he had made this point of like did he 866 00:41:24,800 --> 00:41:29,320 Speaker 1: he views his obligations and these concentric circles to build 867 00:41:29,320 --> 00:41:33,040 Speaker 1: out from him so and and he has this this 868 00:41:33,440 --> 00:41:37,440 Speaker 1: this view of it that I thought sounded selfish, but 869 00:41:37,560 --> 00:41:39,799 Speaker 1: once he explained it. It wasn't. He's, like I said, 870 00:41:39,800 --> 00:41:44,320 Speaker 1: at the center of the concentric circle, wrapped around that 871 00:41:44,480 --> 00:41:46,840 Speaker 1: is my family, you know. And he said, for me, 872 00:41:46,920 --> 00:41:50,160 Speaker 1: wrapped around that is my company, the people that rely 873 00:41:50,280 --> 00:41:53,160 Speaker 1: on this company to living. He and he went on 874 00:41:53,280 --> 00:41:56,080 Speaker 1: to say that like that's where I take care. I 875 00:41:56,200 --> 00:41:58,960 Speaker 1: have to take care of the center, because if I 876 00:41:59,000 --> 00:42:02,239 Speaker 1: don't take care of the center r then the concentric 877 00:42:02,320 --> 00:42:05,840 Speaker 1: circles out from that aren't in a position to be 878 00:42:05,920 --> 00:42:09,719 Speaker 1: properly serviced. And it was like interesting to hear someone 879 00:42:09,760 --> 00:42:14,200 Speaker 1: put it, because, um, the obligation you have to be 880 00:42:14,360 --> 00:42:18,640 Speaker 1: like with it, to be present, to be healthy, to 881 00:42:18,760 --> 00:42:22,239 Speaker 1: be like mentally clean, to not be hungover every morning. Right, 882 00:42:22,680 --> 00:42:25,640 Speaker 1: It's like it's not just you like looking out for yourself. 883 00:42:26,160 --> 00:42:29,600 Speaker 1: You can imagine it as a way that you're protecting 884 00:42:29,719 --> 00:42:32,080 Speaker 1: those things that are wrapped around you, because there has 885 00:42:32,120 --> 00:42:34,759 Speaker 1: to be that like strong core and center. If you 886 00:42:34,840 --> 00:42:38,840 Speaker 1: don't protect yourself, who does that fall to? Yeah, listens 887 00:42:39,600 --> 00:42:42,719 Speaker 1: and then and then exactly no one's gonna do it. 888 00:42:42,880 --> 00:42:44,680 Speaker 1: And I mean, look, we've all got this life to 889 00:42:44,760 --> 00:42:47,200 Speaker 1: do good work. I mean art. We're all here to 890 00:42:47,239 --> 00:42:48,759 Speaker 1: do art. We're all here to make our own art, 891 00:42:49,520 --> 00:42:52,719 Speaker 1: and that for me as a physician, I've realized that 892 00:42:52,719 --> 00:42:54,680 Speaker 1: in order to make art, you have to be healthy. 893 00:42:55,280 --> 00:42:56,680 Speaker 1: And I know you guys, we can talk about how 894 00:42:56,760 --> 00:43:00,680 Speaker 1: to define healthy, but nutrition and nutritional density and nutrients, 895 00:43:00,719 --> 00:43:04,080 Speaker 1: an absence of inflammation and autoimmunity that allows people to 896 00:43:04,120 --> 00:43:06,080 Speaker 1: make their art. There's so much beautiful art, and whether 897 00:43:06,120 --> 00:43:08,680 Speaker 1: it's painted art or singing art or this type of 898 00:43:08,719 --> 00:43:11,440 Speaker 1: spoken art or writing art like this allows us to 899 00:43:11,520 --> 00:43:14,200 Speaker 1: do our work. And that's what makes life meaningful. Is 900 00:43:14,239 --> 00:43:17,160 Speaker 1: to create something beautiful, You've got to be healthy to 901 00:43:17,200 --> 00:43:18,520 Speaker 1: do it. And that's why I want to do what 902 00:43:18,640 --> 00:43:21,200 Speaker 1: I do, is to help people make more beautiful art, 903 00:43:21,239 --> 00:43:23,560 Speaker 1: because God knows we need more beautiful art in this world. 904 00:43:23,600 --> 00:43:25,880 Speaker 1: And that sounds who but you get it. It's exactly 905 00:43:25,960 --> 00:43:27,720 Speaker 1: the same thing that we have to take care of ourselves. 906 00:43:28,360 --> 00:43:29,879 Speaker 1: And for me, when I was hunting, I'll just wrap 907 00:43:29,960 --> 00:43:31,399 Speaker 1: this thought up and then I'll tell you what I eat. 908 00:43:32,040 --> 00:43:34,239 Speaker 1: Like I realized, Okay, this is the most nutritous food 909 00:43:34,280 --> 00:43:36,040 Speaker 1: on the planet. Those those two white tail that I've 910 00:43:36,040 --> 00:43:38,640 Speaker 1: eaten have been some of the most nourishing food. But 911 00:43:38,719 --> 00:43:42,560 Speaker 1: I also remembered every single bite, like Okay, I took 912 00:43:42,640 --> 00:43:45,719 Speaker 1: this life. This is my responsibility to do well and 913 00:43:45,840 --> 00:43:47,800 Speaker 1: also to be a kind human. And so it's this 914 00:43:47,880 --> 00:43:51,000 Speaker 1: amazing kind of quote sacrament. It's just remind me to 915 00:43:51,120 --> 00:43:53,520 Speaker 1: be a good human. And I think that's one of 916 00:43:53,560 --> 00:43:55,680 Speaker 1: the tragic things about getting your food from a grocery 917 00:43:55,719 --> 00:43:57,320 Speaker 1: store all the time. And you guys probably get this. 918 00:43:57,360 --> 00:43:58,839 Speaker 1: I mean, I think that if more people could hunt, 919 00:43:59,520 --> 00:44:01,239 Speaker 1: we would be a different society. And that's the way 920 00:44:01,239 --> 00:44:02,640 Speaker 1: it used to be, you know. I mean, think about 921 00:44:02,640 --> 00:44:04,719 Speaker 1: how many generations ago. It wasn't that long ago when 922 00:44:04,880 --> 00:44:06,480 Speaker 1: a lot of the food we got was from hunting. 923 00:44:07,040 --> 00:44:09,080 Speaker 1: And if people just look below the surface, I'm sure 924 00:44:09,080 --> 00:44:11,000 Speaker 1: that would have reminded them this is I should be 925 00:44:11,400 --> 00:44:14,160 Speaker 1: gracious for this. This is bounty, this is nutritious food. 926 00:44:14,160 --> 00:44:16,520 Speaker 1: I'm not gonna waste it. I'm gonna eat all the organs, 927 00:44:16,560 --> 00:44:18,400 Speaker 1: get all my nutrition, and it's gonna nourish me to 928 00:44:18,480 --> 00:44:20,879 Speaker 1: do whatever I find meaningful in this life. And that's 929 00:44:20,960 --> 00:44:23,320 Speaker 1: that's my take as a doctor. So it's cool stuff. 930 00:44:34,280 --> 00:44:35,640 Speaker 1: I think there is a lot of value in the 931 00:44:35,840 --> 00:44:39,560 Speaker 1: the mental aspect of it. I mean, you know, it's 932 00:44:39,600 --> 00:44:44,080 Speaker 1: not all chemistry, too, because when we're eating fish and 933 00:44:44,160 --> 00:44:47,640 Speaker 1: game that we caught ourselves or hunted ourselves, or even 934 00:44:47,680 --> 00:44:50,040 Speaker 1: eating things that we grew ourselves. I just like I 935 00:44:50,160 --> 00:44:52,279 Speaker 1: become aware of it. And otherwise I wouldn't pay any 936 00:44:52,280 --> 00:44:54,840 Speaker 1: attention to it. I would just be like whatever, you know, 937 00:44:54,880 --> 00:44:56,760 Speaker 1: it wouldn't be interesting to me. But also it becomes 938 00:44:56,920 --> 00:44:59,759 Speaker 1: intensely interesting to me, and there's probably and I like, 939 00:44:59,800 --> 00:45:01,480 Speaker 1: and I pay more attention to it and focus on 940 00:45:01,560 --> 00:45:03,640 Speaker 1: it more and more concerned about the quality because it, like, 941 00:45:03,920 --> 00:45:08,360 Speaker 1: it becomes a thing of spiritual mental interest to me, 942 00:45:09,000 --> 00:45:12,240 Speaker 1: and it heightens it's it heightens my awareness and involvement 943 00:45:12,320 --> 00:45:15,040 Speaker 1: with it, whereas otherwise it would be just like another blase, 944 00:45:15,800 --> 00:45:18,920 Speaker 1: boring thing that I wasn't even considerate of, you know. 945 00:45:19,760 --> 00:45:21,880 Speaker 1: And I think the humans need wild places just like 946 00:45:22,000 --> 00:45:24,719 Speaker 1: they need nutrients. Every time you take a bite of 947 00:45:24,760 --> 00:45:28,560 Speaker 1: food that you've grown or gathered or hunted, there's a 948 00:45:28,600 --> 00:45:30,800 Speaker 1: memory of being in a wild place or being in 949 00:45:30,880 --> 00:45:33,399 Speaker 1: some outdoors somehow, and that that's nourishing for us too. 950 00:45:33,440 --> 00:45:35,560 Speaker 1: You think, Oh, man, I think about I think about 951 00:45:35,600 --> 00:45:37,000 Speaker 1: the camping trip and the hunting trip I went on 952 00:45:37,080 --> 00:45:40,439 Speaker 1: in January and Junction, Texas, where I where I got that, dear, 953 00:45:40,560 --> 00:45:42,120 Speaker 1: you know, with my bow, And then I think about 954 00:45:42,120 --> 00:45:44,120 Speaker 1: the one in Flagstaff, Arizona a few years ago where 955 00:45:44,120 --> 00:45:45,880 Speaker 1: I got my bow, and I know exactly where it happened, 956 00:45:46,200 --> 00:45:47,960 Speaker 1: and I know that space, and in order to get 957 00:45:48,000 --> 00:45:50,120 Speaker 1: those animals with a bow, I had to know that 958 00:45:50,160 --> 00:45:52,319 Speaker 1: space well. I had to become part of that space, 959 00:45:52,360 --> 00:45:54,200 Speaker 1: and I had to think where am I in relation 960 00:45:54,239 --> 00:45:56,160 Speaker 1: to these animals? How do I smell? What time of 961 00:45:56,239 --> 00:45:58,200 Speaker 1: day is it? And so you get this wilderness experience, 962 00:45:58,239 --> 00:46:00,719 Speaker 1: and that's also valuable for humans. The whole thing kind 963 00:46:00,760 --> 00:46:03,200 Speaker 1: of wraps into each other and gives you this such 964 00:46:03,239 --> 00:46:07,080 Speaker 1: a powerful experience that I think for me has always 965 00:46:07,120 --> 00:46:10,040 Speaker 1: spoken to the ethical consideration, like, yes, we don't want 966 00:46:10,040 --> 00:46:12,600 Speaker 1: anything to suffer, and this is such a rich experience, 967 00:46:12,680 --> 00:46:17,239 Speaker 1: and I would suggest an indispensable, invaluable part of being 968 00:46:17,280 --> 00:46:20,120 Speaker 1: a human to be interacting with the animals that way, 969 00:46:20,160 --> 00:46:22,160 Speaker 1: in a respectful way. You really become part of the 970 00:46:22,239 --> 00:46:25,080 Speaker 1: whole community, don't you. You do You're part of an ecosystem, 971 00:46:25,680 --> 00:46:28,200 Speaker 1: you know, you become part of an outdoor ecosystem and 972 00:46:28,239 --> 00:46:30,719 Speaker 1: outdoor community. And I think that, I mean, going to 973 00:46:30,800 --> 00:46:32,640 Speaker 1: grocery stores is kind of tragic. We all have to 974 00:46:32,680 --> 00:46:34,719 Speaker 1: do it today, But how cool would it be to 975 00:46:34,760 --> 00:46:36,279 Speaker 1: get back into that more? And that's what you guys do, 976 00:46:36,320 --> 00:46:37,880 Speaker 1: and that's why it's so cool, And I want to 977 00:46:37,920 --> 00:46:39,680 Speaker 1: get back to doing more of that. And I think 978 00:46:39,719 --> 00:46:41,560 Speaker 1: that it starts with nutrition and then you start getting 979 00:46:41,600 --> 00:46:43,799 Speaker 1: back into those wild places. And I'm hoping to get 980 00:46:43,800 --> 00:46:45,120 Speaker 1: to a point in my life real soon where I 981 00:46:45,120 --> 00:46:47,879 Speaker 1: can do a lot more that now. In the book 982 00:46:47,920 --> 00:46:53,120 Speaker 1: and the Carnivore Code, I outline five tiers of a 983 00:46:53,200 --> 00:46:55,319 Speaker 1: carnivore diet. And before I started this, I'll just tell 984 00:46:55,360 --> 00:46:58,560 Speaker 1: people who are listening my intention in talking about carnivore 985 00:46:58,600 --> 00:47:01,080 Speaker 1: diets and animal foods is not to convince everybody in 986 00:47:01,320 --> 00:47:04,280 Speaker 1: the world to stop eating plants. It's really to construct 987 00:47:04,320 --> 00:47:09,279 Speaker 1: a diet hierarchy in terms of nutritional value and um 988 00:47:09,960 --> 00:47:12,360 Speaker 1: like the way that these foods make us who we 989 00:47:12,440 --> 00:47:14,880 Speaker 1: are or allow us to become as optimal as we 990 00:47:15,000 --> 00:47:18,520 Speaker 1: can be as humans from like a medical, biochemical, nutritional perspective. 991 00:47:19,239 --> 00:47:22,440 Speaker 1: And so my my thesis with a carnivore diet or 992 00:47:22,480 --> 00:47:24,359 Speaker 1: an animal based diet which a little is a little 993 00:47:24,360 --> 00:47:27,040 Speaker 1: more of an inclusive idea, is that kind of like 994 00:47:27,120 --> 00:47:29,640 Speaker 1: we've been talking about animal foods eaten nose to tail, 995 00:47:29,840 --> 00:47:32,560 Speaker 1: organs and meat have been at the center of our 996 00:47:32,600 --> 00:47:36,560 Speaker 1: ancestors existence forever since we were hominids, and that they 997 00:47:36,640 --> 00:47:39,040 Speaker 1: are the most valuable foods on the planet. And yet again, 998 00:47:39,080 --> 00:47:40,960 Speaker 1: as we've talked about, they've been vilified for the last 999 00:47:41,000 --> 00:47:43,480 Speaker 1: seventy years. They should not be vilified. So I think 1000 00:47:43,480 --> 00:47:45,480 Speaker 1: that the first step to doing our art to being 1001 00:47:45,520 --> 00:47:48,759 Speaker 1: as optimal as possible is remembering that animal foods eating 1002 00:47:48,800 --> 00:47:52,080 Speaker 1: nose to tail are the most nutritionally dense and valuable 1003 00:47:52,080 --> 00:47:53,719 Speaker 1: foods on the planet. Like I said earlier, they have 1004 00:47:54,320 --> 00:47:56,600 Speaker 1: nutrients that are not found anywhere else that are very 1005 00:47:56,640 --> 00:47:59,600 Speaker 1: difficult to get. Their magical foods quote unquote, they're just 1006 00:47:59,680 --> 00:48:01,400 Speaker 1: the most nutritional foods in the planet. These are the 1007 00:48:01,440 --> 00:48:04,480 Speaker 1: most important food strusted to get. We should not believe 1008 00:48:04,560 --> 00:48:06,840 Speaker 1: that they are harmful for us. And then beyond that, 1009 00:48:07,200 --> 00:48:10,320 Speaker 1: in the book, I've created a broad strokes perspective on 1010 00:48:10,440 --> 00:48:13,239 Speaker 1: what I believe are more and less toxic plants. So 1011 00:48:13,320 --> 00:48:14,920 Speaker 1: I don't want people to think that they can't eat 1012 00:48:14,960 --> 00:48:17,399 Speaker 1: any plants, or they shouldn't eat any plants. Some people 1013 00:48:17,480 --> 00:48:19,400 Speaker 1: do really well with no plants in their diet. I 1014 00:48:19,480 --> 00:48:22,120 Speaker 1: haven't eaten significant amounts of plant foods and over two years, 1015 00:48:22,160 --> 00:48:24,480 Speaker 1: and I feel pretty darn good. And I'm not combusting 1016 00:48:24,520 --> 00:48:28,240 Speaker 1: with oxidative stress or you know, backed up into ridiculous 1017 00:48:28,239 --> 00:48:30,200 Speaker 1: amounts of constipation. I poop every day. Guys, I know 1018 00:48:30,239 --> 00:48:32,560 Speaker 1: you're all wondering about this with no fiber in my diet. Actually, 1019 00:48:33,640 --> 00:48:37,080 Speaker 1: that's good to hear. So I you know, there's this 1020 00:48:37,400 --> 00:48:40,680 Speaker 1: there's this spectrum of plant toxicity, which plants are more 1021 00:48:40,719 --> 00:48:42,719 Speaker 1: and less toxic. And if people want to include plants 1022 00:48:42,719 --> 00:48:45,880 Speaker 1: in their diet, which are the least toxic parts of 1023 00:48:45,920 --> 00:48:48,320 Speaker 1: plants and the least toxic plants, Yeah, you better explain 1024 00:48:48,440 --> 00:48:51,000 Speaker 1: plant toxicity. Yeah, I mean it's the thing that plants. 1025 00:48:51,280 --> 00:48:52,759 Speaker 1: I mean, as much as you can say a plant 1026 00:48:52,800 --> 00:48:56,800 Speaker 1: intentionally does something, it's like a part of a plant strategy. 1027 00:48:57,000 --> 00:48:58,920 Speaker 1: It is absolutely a part of a plant strategy. And 1028 00:48:58,960 --> 00:49:02,240 Speaker 1: it's it makes sense evolution narily. When you go hunting animals, 1029 00:49:02,280 --> 00:49:04,359 Speaker 1: they're gonna run away from you. They're pretty crafty. They 1030 00:49:04,360 --> 00:49:06,120 Speaker 1: can bite you or kick you, or go are you, 1031 00:49:06,320 --> 00:49:08,800 Speaker 1: or they can just run away. They're flying away, or 1032 00:49:08,800 --> 00:49:11,200 Speaker 1: they're fast, or they're crafty. They they fear better than 1033 00:49:11,320 --> 00:49:13,680 Speaker 1: us or smell better than us. But plants are rooted 1034 00:49:13,680 --> 00:49:15,840 Speaker 1: in the ground. This is not surprising to anyone. But 1035 00:49:15,960 --> 00:49:19,319 Speaker 1: there's been a coevolution between animals and plants for over 1036 00:49:19,400 --> 00:49:23,759 Speaker 1: four and fifty million years, and animals and plants have 1037 00:49:23,920 --> 00:49:26,960 Speaker 1: been in this kind of ongoing warfare, this chemical warfare. 1038 00:49:27,360 --> 00:49:32,160 Speaker 1: Plants have had to evolve defense chemicals to meter how 1039 00:49:32,320 --> 00:49:35,560 Speaker 1: much they get consumed by herbivorous animals or omnivorous animals, 1040 00:49:36,000 --> 00:49:38,480 Speaker 1: or there would be no such thing as ecosystems. If 1041 00:49:38,520 --> 00:49:41,640 Speaker 1: every tree was just made of chocolate or whatever, you know, 1042 00:49:41,800 --> 00:49:45,080 Speaker 1: delicacy a bear or you know, any animal wants to 1043 00:49:45,120 --> 00:49:47,279 Speaker 1: go eat, there would be no plants left on the 1044 00:49:47,320 --> 00:49:50,040 Speaker 1: planet because animals would eat the plants, they would reproduce more, 1045 00:49:50,080 --> 00:49:51,279 Speaker 1: and there would just be more and more animals and 1046 00:49:51,320 --> 00:49:54,400 Speaker 1: less and less plants. So there is this delicate balance, 1047 00:49:54,719 --> 00:49:58,560 Speaker 1: and that delicate balance is really it's it's just it's coordinated, 1048 00:49:58,560 --> 00:50:02,520 Speaker 1: it's orchestrated by these plants chemicals, and we're familiar with 1049 00:50:02,680 --> 00:50:04,080 Speaker 1: some of these. A lot of us know about some 1050 00:50:04,239 --> 00:50:07,239 Speaker 1: plants that are toxic around you know, around Christmas. If 1051 00:50:07,239 --> 00:50:08,560 Speaker 1: you have a point set in your house, you're like, 1052 00:50:08,560 --> 00:50:10,120 Speaker 1: don't let the kids go by the point set. You 1053 00:50:10,160 --> 00:50:13,840 Speaker 1: guys know the point set of plants. Oh they're super toxic. 1054 00:50:14,280 --> 00:50:16,880 Speaker 1: Oh yeah, the super top knew that and forgot toxic. 1055 00:50:17,880 --> 00:50:20,000 Speaker 1: If you think if a kid eats a point set, yeah, 1056 00:50:20,000 --> 00:50:22,680 Speaker 1: they'll they'll they can get really, really sick. And there's 1057 00:50:22,680 --> 00:50:24,120 Speaker 1: a lot of other plants like that. And we were 1058 00:50:24,160 --> 00:50:26,600 Speaker 1: familiar with gluten and lectins messes up a lot of 1059 00:50:26,600 --> 00:50:28,160 Speaker 1: people's guts. I mean, there's a lot of plants out 1060 00:50:28,160 --> 00:50:30,560 Speaker 1: there that are just totally freaking toxic. There are people 1061 00:50:30,600 --> 00:50:34,840 Speaker 1: that have died for eating too much surrell and soral, 1062 00:50:35,040 --> 00:50:37,960 Speaker 1: you know, and um, it's that's because of the amount 1063 00:50:37,960 --> 00:50:39,480 Speaker 1: of oxalates in there. So that's a whole another thing 1064 00:50:39,520 --> 00:50:41,879 Speaker 1: we can go down a rabbit hole with. But there 1065 00:50:41,920 --> 00:50:43,680 Speaker 1: are a lot of plant toxins out there. And the 1066 00:50:43,800 --> 00:50:46,920 Speaker 1: ideas that the roots, the stems, the leaves, and the 1067 00:50:47,000 --> 00:50:50,400 Speaker 1: seeds of plants are plants kind of just saying hey, 1068 00:50:50,440 --> 00:50:52,719 Speaker 1: I'm here and you're there. I'm good, don't mess with me. 1069 00:50:52,760 --> 00:50:55,440 Speaker 1: I won't mess with you. Let's just try and be friends. 1070 00:50:55,760 --> 00:50:57,919 Speaker 1: I'm gonna put some toxins in these foods, these parts 1071 00:50:57,960 --> 00:51:01,799 Speaker 1: of my plant and issuade you from over consuming them. 1072 00:51:02,640 --> 00:51:03,840 Speaker 1: And if you eat a lot of them, you're not 1073 00:51:03,840 --> 00:51:06,160 Speaker 1: gonna feel very good, or you might even die. I 1074 00:51:06,280 --> 00:51:07,920 Speaker 1: might make this fruit every once in a while, and 1075 00:51:08,000 --> 00:51:10,279 Speaker 1: that's gonna be less toxic because I kind of want 1076 00:51:10,320 --> 00:51:12,000 Speaker 1: you to eat that and then poop out my seeds 1077 00:51:12,040 --> 00:51:14,840 Speaker 1: somewhere else where. It has this fertile pile of manure 1078 00:51:14,960 --> 00:51:17,520 Speaker 1: for me to grow. But there's a clear communication here. 1079 00:51:17,560 --> 00:51:21,440 Speaker 1: And so if you look at plants, the seeds of plants, 1080 00:51:21,480 --> 00:51:25,600 Speaker 1: which essentially are seeds, nuts, grains, and legumes, so beans 1081 00:51:26,000 --> 00:51:28,080 Speaker 1: are all seeds, they're all plant babies. That are all 1082 00:51:28,120 --> 00:51:32,680 Speaker 1: plant reproductive efforts to reproduce, to put their generation forward, 1083 00:51:32,880 --> 00:51:35,480 Speaker 1: to put the next generation of DNA beyond them. And 1084 00:51:35,560 --> 00:51:38,000 Speaker 1: these are some of the most highly defended parts of plants. 1085 00:51:38,120 --> 00:51:41,400 Speaker 1: And this won't really be totally foreign to anyone who's 1086 00:51:41,400 --> 00:51:44,200 Speaker 1: heard of things like gluten intolerance or Celiac disease. Well, 1087 00:51:44,320 --> 00:51:46,240 Speaker 1: wheat is a grain and it has a lot of lectins. 1088 00:51:46,280 --> 00:51:49,960 Speaker 1: Gluten is one lectins are these one type of plant 1089 00:51:50,040 --> 00:51:53,960 Speaker 1: defense chemical compound. But if that is other lectins like 1090 00:51:54,000 --> 00:51:56,200 Speaker 1: wheat or magluten in, a lot of things in wheat 1091 00:51:56,239 --> 00:51:58,080 Speaker 1: are not good for humans. It's a plant seed, it's 1092 00:51:58,080 --> 00:52:00,360 Speaker 1: a grain. A lot of other grains are not so 1093 00:52:00,440 --> 00:52:02,840 Speaker 1: good for us, like beans. Beans are excuse me, a 1094 00:52:02,920 --> 00:52:04,360 Speaker 1: lot of other seeds are not so good for us, 1095 00:52:04,480 --> 00:52:06,719 Speaker 1: like beans. And if you eat you ever trying to 1096 00:52:06,760 --> 00:52:10,080 Speaker 1: eat a raw bean, like off the plant. They're trying 1097 00:52:10,080 --> 00:52:12,120 Speaker 1: to be like a kidney bean. You ever seen kidney 1098 00:52:12,120 --> 00:52:16,919 Speaker 1: bean or a lion? They're superbeans. Really, how do you feel? 1099 00:52:17,320 --> 00:52:19,080 Speaker 1: I didn't need enough. I knew that they will mess 1100 00:52:19,080 --> 00:52:20,680 Speaker 1: you up, so I never ate enough to mess super 1101 00:52:20,719 --> 00:52:22,200 Speaker 1: mess you up. So but I read about a kid, 1102 00:52:22,239 --> 00:52:23,520 Speaker 1: a three year old kid who got lost in a 1103 00:52:23,560 --> 00:52:25,480 Speaker 1: soybean field one time, and he'd eat a bunch of 1104 00:52:25,520 --> 00:52:27,279 Speaker 1: soybeans and got sick. And I just ate one to 1105 00:52:27,320 --> 00:52:28,920 Speaker 1: see what it was like. Yeah, so if you eat 1106 00:52:29,040 --> 00:52:32,040 Speaker 1: raw beans, they will they will make you violently ill. 1107 00:52:32,120 --> 00:52:34,919 Speaker 1: And there are hundreds of recorded episodes now of people 1108 00:52:34,960 --> 00:52:37,960 Speaker 1: getting food poisoning from undercook kidney beans. So a lot 1109 00:52:38,000 --> 00:52:40,280 Speaker 1: of the seeds out there are frankly toxic to humans. 1110 00:52:40,719 --> 00:52:42,920 Speaker 1: You know, apple seeds have toxic things in them like 1111 00:52:43,080 --> 00:52:46,120 Speaker 1: arsenic or cyanide, and I should stop eating those. My 1112 00:52:46,239 --> 00:52:49,359 Speaker 1: dad was always like eat the seeds in the core 1113 00:52:49,520 --> 00:52:52,600 Speaker 1: and the apple. Ye, I mean you could eat them, 1114 00:52:52,640 --> 00:52:57,200 Speaker 1: just don't don't shoot them. Don't. I guess I've ever 1115 00:52:57,480 --> 00:52:59,680 Speaker 1: been poisoned. Let me hit you one of that. I 1116 00:52:59,680 --> 00:53:01,319 Speaker 1: think you'll think it is, then you'll appreciate this one. 1117 00:53:01,920 --> 00:53:06,560 Speaker 1: So you're from us with snowshoe hairs, they're they're famously cyclical, 1118 00:53:07,440 --> 00:53:09,319 Speaker 1: and they on these like you know, seven year eight 1119 00:53:09,400 --> 00:53:13,040 Speaker 1: year cycles where their populations explode and in a collapse 1120 00:53:13,080 --> 00:53:15,240 Speaker 1: and exploding collapse, and people used to try to correlate 1121 00:53:15,280 --> 00:53:19,040 Speaker 1: it to all kinds of things, um, sun spots wherever 1122 00:53:19,120 --> 00:53:21,839 Speaker 1: that no one could ever find an explanation. Lead theory 1123 00:53:21,920 --> 00:53:26,480 Speaker 1: on why snowshoe hairs have a cyclical spike is they 1124 00:53:26,520 --> 00:53:32,080 Speaker 1: predominantly will feed on willow um as the willows are 1125 00:53:32,120 --> 00:53:36,680 Speaker 1: getting overgrazed, they'll start putting a ton of energy into toxins, 1126 00:53:38,080 --> 00:53:40,960 Speaker 1: and then the primary food source of the animal actually 1127 00:53:41,000 --> 00:53:44,640 Speaker 1: starts to not be nourishing and kills it. All of 1128 00:53:44,680 --> 00:53:47,680 Speaker 1: a sudden, you trim off this whole population of rabbits. 1129 00:53:48,280 --> 00:53:51,600 Speaker 1: The plants aren't getting grays anymore, they don't put energy 1130 00:53:51,640 --> 00:53:56,120 Speaker 1: into plant toxicity, and eventually this very small amount of 1131 00:53:56,120 --> 00:53:58,200 Speaker 1: rem that rabbits are left are back to eating a 1132 00:53:58,239 --> 00:54:01,480 Speaker 1: healthy food source. And this cycle seems to run in 1133 00:54:01,520 --> 00:54:03,959 Speaker 1: about a seven year cycle. And that's this is after 1134 00:54:04,080 --> 00:54:06,800 Speaker 1: many people postulated many things, but to lead theory on 1135 00:54:06,880 --> 00:54:10,080 Speaker 1: what drives that is there that plant's response to getting 1136 00:54:10,120 --> 00:54:13,240 Speaker 1: eaten by it. And if you look at grazing animals, 1137 00:54:13,760 --> 00:54:16,760 Speaker 1: there are many historical examples of large herds of grazing 1138 00:54:16,760 --> 00:54:21,440 Speaker 1: animals dying and mass when they're cordoned off by fences 1139 00:54:21,560 --> 00:54:23,720 Speaker 1: are made to graze on a small amount of area. 1140 00:54:24,320 --> 00:54:26,600 Speaker 1: If you look at ruminants or grazing animals, they don't 1141 00:54:26,640 --> 00:54:29,800 Speaker 1: eat just one plant. I mean this, this example of 1142 00:54:29,840 --> 00:54:31,359 Speaker 1: the hairs is interesting, but a lot of them will 1143 00:54:31,400 --> 00:54:32,480 Speaker 1: pick a little bit of this one, little bit of 1144 00:54:32,520 --> 00:54:33,920 Speaker 1: that one, a little bit of that one, because they 1145 00:54:33,960 --> 00:54:36,319 Speaker 1: realize every plant has a toxin in it and if 1146 00:54:36,360 --> 00:54:38,520 Speaker 1: they get too much of this toxin, they're gonna get sick. 1147 00:54:38,560 --> 00:54:39,640 Speaker 1: But they can get a little bit of this tox 1148 00:54:39,719 --> 00:54:40,680 Speaker 1: and a little bit of that tox, and a little 1149 00:54:40,680 --> 00:54:42,279 Speaker 1: bit of that tox and a little bit of that toxin. Right, 1150 00:54:42,800 --> 00:54:46,160 Speaker 1: So this is these are herbivorous animals. But the thesis 1151 00:54:46,280 --> 00:54:48,080 Speaker 1: that I example advanced or you know, the kind of 1152 00:54:48,080 --> 00:54:50,239 Speaker 1: the hypothesis. What I'm saying in the carnivore code with 1153 00:54:50,320 --> 00:54:53,839 Speaker 1: this idea is, look, eating animal foods made us human. 1154 00:54:53,840 --> 00:54:55,120 Speaker 1: And we can talk about why I think that way. 1155 00:54:55,120 --> 00:54:56,839 Speaker 1: If you look at the evolution of the human brain, 1156 00:54:57,440 --> 00:55:00,360 Speaker 1: it exploded in size, not literally but figure early in 1157 00:55:00,440 --> 00:55:03,840 Speaker 1: the last two million years, and that correlates very strongly 1158 00:55:03,920 --> 00:55:05,960 Speaker 1: with the advent of hunting. There were these auschuli and 1159 00:55:06,000 --> 00:55:10,080 Speaker 1: these bifacial tools cut marks on bones, mass graves, and 1160 00:55:10,200 --> 00:55:12,120 Speaker 1: you can date, you know how old these bones and 1161 00:55:12,160 --> 00:55:13,960 Speaker 1: these animals are that have cut marks and stuff. It 1162 00:55:13,960 --> 00:55:16,200 Speaker 1: looks like humans started hunting about two million years ago. 1163 00:55:16,760 --> 00:55:19,799 Speaker 1: Our brain was about five hundred ccs and it had 1164 00:55:19,840 --> 00:55:23,000 Speaker 1: been about five ccs for the previous ninety million years. 1165 00:55:23,880 --> 00:55:25,560 Speaker 1: And you know, you go up and in the last 1166 00:55:25,640 --> 00:55:27,440 Speaker 1: and the next two million years, it grows from five 1167 00:55:27,480 --> 00:55:30,200 Speaker 1: hundred ccs TOCs it triples in size, which is a 1168 00:55:30,320 --> 00:55:33,200 Speaker 1: massive energetic input for humans. We had to change all 1169 00:55:33,239 --> 00:55:35,720 Speaker 1: sorts of things in our gut, and that was probably 1170 00:55:35,760 --> 00:55:39,200 Speaker 1: because there were more calories and there were these unique 1171 00:55:39,280 --> 00:55:42,719 Speaker 1: nutrients and animal foods nias and riba flavor, coline, carnatine 1172 00:55:42,840 --> 00:55:45,799 Speaker 1: creatine that our brains needed to grow and something. When 1173 00:55:45,840 --> 00:55:47,960 Speaker 1: we had those boom. We can grow a bigger brain, 1174 00:55:48,000 --> 00:55:49,600 Speaker 1: and that gives us more survival advantage. We get a 1175 00:55:49,640 --> 00:55:53,640 Speaker 1: near cortex, We can plan hunting with our with our tribe, 1176 00:55:53,680 --> 00:55:55,759 Speaker 1: we can evade predators better. We don't have claws and 1177 00:55:55,840 --> 00:55:59,400 Speaker 1: towns anymore, but we can fashion spears and nest. The 1178 00:55:59,480 --> 00:56:02,080 Speaker 1: human race goes on, and so a food that lies 1179 00:56:02,120 --> 00:56:05,759 Speaker 1: at the center of our evolution is what we need 1180 00:56:05,880 --> 00:56:07,719 Speaker 1: to grow and that really made us who we are. 1181 00:56:07,800 --> 00:56:09,239 Speaker 1: That's a statement I make in the book that eating 1182 00:56:09,280 --> 00:56:12,839 Speaker 1: animals nos the tail made us human. It made us human, 1183 00:56:13,440 --> 00:56:16,080 Speaker 1: and I think that because of that, and there's good 1184 00:56:16,120 --> 00:56:19,560 Speaker 1: evidence for this, looking at stable isotopes of you know, 1185 00:56:19,680 --> 00:56:22,399 Speaker 1: fossilized remains of teeth that are I think at least 1186 00:56:22,440 --> 00:56:24,600 Speaker 1: a million years old, which is crazy to think about that, 1187 00:56:25,080 --> 00:56:29,360 Speaker 1: and even more recent hunter gatherers um from fifty thousand 1188 00:56:29,440 --> 00:56:32,320 Speaker 1: years ago. You can look at uh stabilized stope analysis 1189 00:56:32,360 --> 00:56:35,280 Speaker 1: of co living Neanderthal and Homo sapiens in northern Europe 1190 00:56:35,840 --> 00:56:38,240 Speaker 1: and see the majority of their protein was coming from animals. 1191 00:56:38,640 --> 00:56:40,800 Speaker 1: And you can look at this these barrium and caesium 1192 00:56:40,880 --> 00:56:43,680 Speaker 1: and nitrogen and carbon and sulfur isotopes, and say, man, 1193 00:56:43,719 --> 00:56:45,680 Speaker 1: they were eating a lot of animals. It looks like 1194 00:56:45,719 --> 00:56:48,680 Speaker 1: they were eating like more animals than known carnivores like hyenas. 1195 00:56:49,320 --> 00:56:51,920 Speaker 1: So the thesis in a lot of anthropology circles is, hey, 1196 00:56:52,040 --> 00:56:55,279 Speaker 1: we were essentially high level quote carnivores. We weren't eating 1197 00:56:55,360 --> 00:56:57,440 Speaker 1: all animals, but we were eating the majority of our 1198 00:56:57,480 --> 00:56:59,839 Speaker 1: diet as animals when we could get them. So I'm 1199 00:57:00,040 --> 00:57:02,960 Speaker 1: they think that our blueprint is humans is in stark 1200 00:57:03,040 --> 00:57:05,839 Speaker 1: contrast what we've been told today. It's not kale that's 1201 00:57:05,840 --> 00:57:08,279 Speaker 1: the superfood. It's the animal foods that are the superfoods. 1202 00:57:08,800 --> 00:57:11,040 Speaker 1: And that you see this indigenous cultures too. They seek 1203 00:57:11,080 --> 00:57:14,840 Speaker 1: out animals preferentially, and they'll eat plants as fallback food, 1204 00:57:15,120 --> 00:57:18,400 Speaker 1: as survival food, but they don't really if they've got 1205 00:57:18,520 --> 00:57:20,160 Speaker 1: a big kill, they're not gonna be like, hey, we 1206 00:57:20,240 --> 00:57:23,440 Speaker 1: got a whole whole elephants or a whole water buffalo. Well, 1207 00:57:23,480 --> 00:57:25,200 Speaker 1: let's just put that aside. I'm gonna go I'm gonna 1208 00:57:25,240 --> 00:57:27,520 Speaker 1: go gather some tubers, you know, I'm gonna go gather 1209 00:57:27,680 --> 00:57:31,040 Speaker 1: some There's some good, some good acorns over here. They're like, no, 1210 00:57:31,080 --> 00:57:34,240 Speaker 1: I'm gonna eat this freaking buffalo. Man. But we're we're 1211 00:57:34,320 --> 00:57:36,480 Speaker 1: adaptable as humans, and we do have the ability to 1212 00:57:36,520 --> 00:57:39,240 Speaker 1: be omnivorous, and I think that we've used that throughout 1213 00:57:39,240 --> 00:57:43,160 Speaker 1: our evolution to during times of scarcity, use plant foods 1214 00:57:43,160 --> 00:57:46,240 Speaker 1: as fallback foods, as survival foods. And this is because 1215 00:57:46,320 --> 00:57:48,960 Speaker 1: plants have toxins. So what have we done. We've learned 1216 00:57:48,960 --> 00:57:51,000 Speaker 1: how to ferment them. And you see this over and 1217 00:57:51,080 --> 00:57:53,560 Speaker 1: over a lot of times when indigenous cultures eat plant foods, 1218 00:57:53,560 --> 00:57:57,120 Speaker 1: they're fermented things like sauer Kraud. This comes from fermented cabbage. 1219 00:57:57,120 --> 00:57:59,880 Speaker 1: A lot of the toxins that are in cabbage, which 1220 00:57:59,880 --> 00:58:02,600 Speaker 1: a lot of the same toxins and kale are degraded 1221 00:58:02,640 --> 00:58:05,160 Speaker 1: when you ferment the cabbage. A lot of beans are 1222 00:58:05,200 --> 00:58:07,800 Speaker 1: fermented in sort of South American cultures. So we've figured 1223 00:58:07,800 --> 00:58:10,240 Speaker 1: out ways. But if you look at the number of ways, 1224 00:58:10,480 --> 00:58:12,600 Speaker 1: the sheer volume of ways that humans have figured out 1225 00:58:12,920 --> 00:58:16,440 Speaker 1: to make plants more edible, it's clearly indicating they are 1226 00:58:16,520 --> 00:58:19,720 Speaker 1: full of toxins. Whether it's cooking or dhauling or it's 1227 00:58:19,720 --> 00:58:22,439 Speaker 1: an interesting point, man, Like the amotta plants we eat 1228 00:58:22,960 --> 00:58:25,160 Speaker 1: you know, the grains and stuff we you don't eat, 1229 00:58:25,480 --> 00:58:29,040 Speaker 1: like you can't eat raw raw. You gotta do to 1230 00:58:29,040 --> 00:58:30,680 Speaker 1: make them medable. You gotta do a lot of stuff. 1231 00:58:30,680 --> 00:58:32,160 Speaker 1: You gotta pressure cook the heck out of the mean. 1232 00:58:32,160 --> 00:58:35,280 Speaker 1: Look at white rice, you know, in Asian cultures, it's 1233 00:58:35,280 --> 00:58:37,120 Speaker 1: a staple, and they figured out, oh, if you take 1234 00:58:37,160 --> 00:58:39,880 Speaker 1: the hull off the rice, it's way less toxic for humans, 1235 00:58:40,320 --> 00:58:42,320 Speaker 1: and we've been told the reverse. So brown rice is 1236 00:58:42,360 --> 00:58:44,240 Speaker 1: more healthy. But brown rice has a lot of arsenic 1237 00:58:44,280 --> 00:58:47,160 Speaker 1: in it, because arsenic is concentrated in the hull of 1238 00:58:47,200 --> 00:58:49,760 Speaker 1: the rice, and a lot of the things that prevent 1239 00:58:49,920 --> 00:58:52,080 Speaker 1: us from absorbing minerals are in the hull of the rice, 1240 00:58:52,200 --> 00:58:55,240 Speaker 1: like phightic acid, things like that. So humans realize, hey, 1241 00:58:55,280 --> 00:58:57,440 Speaker 1: if we take the hull off the rice, we can 1242 00:58:57,520 --> 00:58:58,840 Speaker 1: get the grain out of the middle, and there's not 1243 00:58:58,840 --> 00:59:00,439 Speaker 1: a lot of nutrients in there, but as at least 1244 00:59:00,520 --> 00:59:03,320 Speaker 1: calories to keep me going until tomorrow. But where do 1245 00:59:03,400 --> 00:59:05,880 Speaker 1: we then get our massive micro nutrient doses. We get 1246 00:59:05,920 --> 00:59:09,280 Speaker 1: them from animal foods every day. Okay, this is my 1247 00:59:09,400 --> 00:59:11,040 Speaker 1: long way to answer for what I eat every day 1248 00:59:11,640 --> 00:59:15,640 Speaker 1: and the reason I had that whole sort of explanation was. 1249 00:59:15,640 --> 00:59:18,440 Speaker 1: I wanted people to understand that this is my perspective 1250 00:59:18,520 --> 00:59:20,520 Speaker 1: on it, because when I say this, people are just 1251 00:59:20,600 --> 00:59:23,080 Speaker 1: gonna be like, click off goes the podcast. This guy's 1252 00:59:23,080 --> 00:59:27,440 Speaker 1: a looney been m because you're doing you're doing an 1253 00:59:27,480 --> 00:59:36,160 Speaker 1: extreme version. We should have started with that. Yeah, I mean, so, 1254 00:59:36,360 --> 00:59:38,120 Speaker 1: so I don't need plants, all right, I don't need 1255 00:59:38,160 --> 00:59:41,480 Speaker 1: any plants. I have any any plants in over two years. 1256 00:59:41,840 --> 00:59:43,840 Speaker 1: I did a short experiment for a couple of days 1257 00:59:43,880 --> 00:59:46,960 Speaker 1: where I was wearing a continuous glucost monitor where I 1258 00:59:47,040 --> 00:59:49,560 Speaker 1: included some berries and some squash in my diet just 1259 00:59:49,640 --> 00:59:51,360 Speaker 1: to see what would happen to my glucost. But I've 1260 00:59:51,480 --> 00:59:54,520 Speaker 1: found that I feel better without plants. And the reason 1261 00:59:54,560 --> 00:59:56,480 Speaker 1: I don't need need plants is because I don't. There 1262 00:59:56,520 --> 00:59:59,480 Speaker 1: are no nutrients and plants that I can't get from 1263 00:59:59,520 --> 01:00:01,760 Speaker 1: eating animal. No, the tail and I take when you 1264 01:00:01,840 --> 01:00:04,720 Speaker 1: can play. When you say plants, you're talking like flower, 1265 01:00:05,000 --> 01:00:08,280 Speaker 1: like wheat, No, like like any plants that I'm saying. 1266 01:00:08,280 --> 01:00:10,440 Speaker 1: I mean you're including that. Oh yeah, I'm including like 1267 01:00:10,520 --> 01:00:12,800 Speaker 1: grains and flour and wheat like I don't know to 1268 01:00:12,840 --> 01:00:16,120 Speaker 1: talk about skipping green vegetables. No, all of this every 1269 01:00:16,160 --> 01:00:17,120 Speaker 1: once in a while, I'm on a date with a 1270 01:00:17,160 --> 01:00:18,560 Speaker 1: girl and I don't need plants, and she goes, well, 1271 01:00:18,560 --> 01:00:21,800 Speaker 1: do you eat bread? No, I don't need bread. I 1272 01:00:21,800 --> 01:00:23,640 Speaker 1: don't even plants. Well do you know no, I don't. 1273 01:00:23,880 --> 01:00:25,400 Speaker 1: Just I don't think people understand, like I don't need 1274 01:00:25,440 --> 01:00:27,920 Speaker 1: plant products, like all I eat all I eat his 1275 01:00:27,960 --> 01:00:30,600 Speaker 1: animals and you know I people say, well, then you 1276 01:00:30,680 --> 01:00:32,720 Speaker 1: just eat meat, and how that go over on the date? There? 1277 01:00:32,720 --> 01:00:34,439 Speaker 1: They usually that's usually that of the day or they're 1278 01:00:34,480 --> 01:00:35,800 Speaker 1: like they kind of roll their eyes and they're just 1279 01:00:35,800 --> 01:00:37,360 Speaker 1: not sure what to think. I think they're in shell 1280 01:00:37,440 --> 01:00:39,800 Speaker 1: shock after that. I'm not sure. Yeah, I try to 1281 01:00:39,960 --> 01:00:41,880 Speaker 1: get that to like the second or third date. I don't. 1282 01:00:42,000 --> 01:00:43,840 Speaker 1: I try not to let that. Don't do dinner dates. 1283 01:00:45,800 --> 01:00:47,200 Speaker 1: They're like, you want to go to restaurant. I'm like 1284 01:00:47,440 --> 01:00:50,280 Speaker 1: about that, Let's just go for a walk. Uh, let's 1285 01:00:50,280 --> 01:00:53,040 Speaker 1: just go hiking or something. Um still doesn't go over 1286 01:00:53,120 --> 01:00:54,920 Speaker 1: so good. People think it's a little strange. But I 1287 01:00:54,960 --> 01:00:56,720 Speaker 1: don't eat I don't need plants. I eat only meat. 1288 01:00:56,800 --> 01:00:58,960 Speaker 1: But by meat, I don't just eat meat, right, I 1289 01:00:59,040 --> 01:01:01,360 Speaker 1: eat meat and liver and organs. So I eat two 1290 01:01:01,400 --> 01:01:04,000 Speaker 1: meals a day. I'm interested in time restricted feeding, which 1291 01:01:04,080 --> 01:01:06,760 Speaker 1: is eating. I eat breakfast, and I eat lunch late lunch, 1292 01:01:06,760 --> 01:01:08,080 Speaker 1: and then I don't eat dinner because I want to 1293 01:01:08,120 --> 01:01:10,000 Speaker 1: have some period in the day where I'm not eating, 1294 01:01:10,360 --> 01:01:13,440 Speaker 1: kind of like this intermittent fasting type of idea. And 1295 01:01:13,520 --> 01:01:14,800 Speaker 1: if you look at this, you know, I take my 1296 01:01:14,880 --> 01:01:16,880 Speaker 1: key tones in the morning and I actually have keytnes 1297 01:01:17,200 --> 01:01:19,800 Speaker 1: in my blood every morning, so I'll get into keytosis. Um. 1298 01:01:19,960 --> 01:01:21,320 Speaker 1: But I think is a good thing for humans to 1299 01:01:21,360 --> 01:01:23,160 Speaker 1: kind of cycle in and out of keytosis, but not 1300 01:01:23,320 --> 01:01:25,120 Speaker 1: be in it all the time. I think, when you're 1301 01:01:25,120 --> 01:01:27,160 Speaker 1: done telling us about what you eat and then we 1302 01:01:27,200 --> 01:01:30,280 Speaker 1: should talk a little bit about keto keytosis, well yeah, 1303 01:01:30,600 --> 01:01:33,080 Speaker 1: do that, but but finish this because but I want 1304 01:01:33,080 --> 01:01:35,480 Speaker 1: to I gotta have you in the morning. So I 1305 01:01:35,520 --> 01:01:36,960 Speaker 1: wake up in the morning. So this morning, I eat 1306 01:01:37,000 --> 01:01:39,120 Speaker 1: the same thing pretty much every day. I I've got 1307 01:01:39,200 --> 01:01:41,400 Speaker 1: it works for me, and I mean I'm easy. Um. 1308 01:01:41,480 --> 01:01:42,680 Speaker 1: But again that it's not to say that you have 1309 01:01:42,760 --> 01:01:44,280 Speaker 1: to eat this way. There's a lot of variety. We're 1310 01:01:44,280 --> 01:01:47,200 Speaker 1: building a cookbook around this too. Um. So I eat 1311 01:01:47,240 --> 01:01:48,760 Speaker 1: a lot of so I eat grass fed grass finish 1312 01:01:48,840 --> 01:01:50,439 Speaker 1: meat from our generative farms, a lot of good farms. 1313 01:01:50,480 --> 01:01:52,240 Speaker 1: I want to support that type of agriculture. If I 1314 01:01:52,320 --> 01:01:55,000 Speaker 1: can't eat an animal that I've hunted, i'll eat meat 1315 01:01:55,040 --> 01:01:57,200 Speaker 1: from those farms. And so i'll eat about a pound 1316 01:01:57,240 --> 01:01:58,840 Speaker 1: of meat twice a day, eat a little less than 1317 01:01:58,840 --> 01:02:00,760 Speaker 1: two pounds of meat a day. And it's right now, 1318 01:02:00,840 --> 01:02:02,959 Speaker 1: it's a lot of stew meat. And I make bone broth, 1319 01:02:03,040 --> 01:02:05,040 Speaker 1: so I'll make my own bone broth with knucklebones. It 1320 01:02:05,120 --> 01:02:07,040 Speaker 1: has all the tendons on there. And what I'll do 1321 01:02:07,120 --> 01:02:09,160 Speaker 1: is I'll blanch the meat in bone broth and then 1322 01:02:09,200 --> 01:02:11,040 Speaker 1: add salt to it, and then I'll eat the bone 1323 01:02:11,040 --> 01:02:13,960 Speaker 1: broth and tendons, and i'll get my glycine, the connective tissue, 1324 01:02:14,320 --> 01:02:16,120 Speaker 1: and I'll eat the meat. And then I also eat 1325 01:02:16,160 --> 01:02:18,200 Speaker 1: some organs, and so as many of the fresh organs 1326 01:02:18,240 --> 01:02:20,680 Speaker 1: as I have, i'll eat those. So most days i'll 1327 01:02:20,680 --> 01:02:25,760 Speaker 1: eat liver, heart spleen, pancreas. If i've got thimus, i'll 1328 01:02:25,760 --> 01:02:27,520 Speaker 1: eat it. If I can get testco, i'll eat it. 1329 01:02:27,880 --> 01:02:29,720 Speaker 1: And your butcher's gotta love you, man, because you're buying 1330 01:02:29,760 --> 01:02:32,080 Speaker 1: the stuff they have. No, it's not even at the butcher. 1331 01:02:32,200 --> 01:02:33,800 Speaker 1: It's hard to get I gotta talk to my phone. 1332 01:02:33,840 --> 01:02:35,120 Speaker 1: You're buying all the stuff that winds up in a 1333 01:02:35,160 --> 01:02:37,560 Speaker 1: rendering play. Yeah, yeah, and that's that's important, you know. 1334 01:02:37,680 --> 01:02:39,200 Speaker 1: So I get all the organs I can in a day, 1335 01:02:39,200 --> 01:02:41,880 Speaker 1: a few ounces, and then I'll eat some suet because 1336 01:02:41,880 --> 01:02:44,440 Speaker 1: I'm really interested in this kidney fat um. It's high 1337 01:02:44,520 --> 01:02:48,240 Speaker 1: in a compound called ste i. I just I chew 1338 01:02:48,320 --> 01:02:50,000 Speaker 1: it and I have like a swig of bone broth 1339 01:02:50,080 --> 01:02:52,120 Speaker 1: with it, kind of warm because it sue it's really waxy. 1340 01:02:52,480 --> 01:02:56,160 Speaker 1: It's all either like straight as straight ass. You don't 1341 01:02:56,160 --> 01:02:58,240 Speaker 1: you don't you don't you don't like rendered out in 1342 01:02:58,280 --> 01:03:01,240 Speaker 1: the pan, or like you make a crackling Nope, I 1343 01:03:01,320 --> 01:03:02,880 Speaker 1: just eat it. I just take the suit raw and 1344 01:03:02,960 --> 01:03:05,320 Speaker 1: I eat it with bone broth, and then I'll add 1345 01:03:05,320 --> 01:03:08,280 Speaker 1: some Redman real salt. And then so for the first 1346 01:03:08,440 --> 01:03:11,200 Speaker 1: year and a half, you're okay with salt. Yeah, yeah, 1347 01:03:11,320 --> 01:03:13,320 Speaker 1: totally okay with salt. Before you get to how it 1348 01:03:13,440 --> 01:03:16,919 Speaker 1: felt to tell me about just blanching stew meat, because 1349 01:03:16,960 --> 01:03:19,320 Speaker 1: that to me sounds real tough. It's actually not bad 1350 01:03:19,320 --> 01:03:21,240 Speaker 1: at all, because I don't over blanch it. I mean, 1351 01:03:21,240 --> 01:03:22,920 Speaker 1: I'm just doing that because I find stew meat to 1352 01:03:22,960 --> 01:03:25,920 Speaker 1: be affordable. People will sometimes criticize my diet and say, 1353 01:03:25,920 --> 01:03:27,960 Speaker 1: I can't eat two ReBs a day. That's fifty bucks 1354 01:03:28,000 --> 01:03:29,400 Speaker 1: in me. And I go, well, I eat eight dollars 1355 01:03:29,440 --> 01:03:31,960 Speaker 1: a pound grass fed, grass finished stew meat, and I 1356 01:03:32,040 --> 01:03:35,120 Speaker 1: think it's I think it's great. So you take the bone, Yeah, 1357 01:03:35,440 --> 01:03:37,520 Speaker 1: that's good. Yet had a good question. You take you 1358 01:03:37,560 --> 01:03:40,040 Speaker 1: make bone broth, which I get and then imagined you 1359 01:03:40,120 --> 01:03:42,400 Speaker 1: probably pick all this stuff off the bone, eat all 1360 01:03:42,400 --> 01:03:44,680 Speaker 1: of it. And I actually will chew on the bones too. 1361 01:03:45,200 --> 01:03:48,400 Speaker 1: And then and then you'll take stew meat, slice it, 1362 01:03:48,680 --> 01:03:51,040 Speaker 1: just slice it thin or cut it however, and you'll 1363 01:03:51,400 --> 01:03:54,880 Speaker 1: heat up bone broth to cook the stew meat. And 1364 01:03:54,960 --> 01:03:56,360 Speaker 1: this is how I'm doing it. Now do you ever? 1365 01:03:56,480 --> 01:03:59,720 Speaker 1: Do you ever? Uh? Did you just take animal fat 1366 01:03:59,800 --> 01:04:04,040 Speaker 1: and fry? I don't. Why not? I have in the past, 1367 01:04:04,160 --> 01:04:06,640 Speaker 1: But because I'm a scientist, because I'm a doctor, and 1368 01:04:06,680 --> 01:04:10,000 Speaker 1: I think about lipid peroxides and all this other so 1369 01:04:10,360 --> 01:04:12,400 Speaker 1: you know, I don't know, keep talking about your food. 1370 01:04:12,400 --> 01:04:15,840 Speaker 1: I'm gonna add in my notes lipid peroxide, lipid peroxides, 1371 01:04:17,120 --> 01:04:23,640 Speaker 1: white frying is bad. All right. Now, I'm disappointed. I've 1372 01:04:23,680 --> 01:04:25,320 Speaker 1: done a lot of that. Okay, I think that's probably 1373 01:04:25,400 --> 01:04:27,320 Speaker 1: if you're fine an animal fat, I think you're probably 1374 01:04:27,320 --> 01:04:28,720 Speaker 1: find there's a lot of cultures to do it. But 1375 01:04:28,760 --> 01:04:30,640 Speaker 1: I do experiments myself all the time. I'm trying to 1376 01:04:30,680 --> 01:04:32,880 Speaker 1: optimize because I realized that. I'm like, so you're like 1377 01:04:32,960 --> 01:04:35,440 Speaker 1: against frying stuff an animal fat. I'm not against it. 1378 01:04:35,520 --> 01:04:38,160 Speaker 1: I just like doing the experiments and myself to see 1379 01:04:38,240 --> 01:04:40,400 Speaker 1: because I'm like the pirate man, I'm like the astronaut 1380 01:04:40,400 --> 01:04:42,280 Speaker 1: on the way to the moon. Nobody's ever done this before, 1381 01:04:42,400 --> 01:04:44,040 Speaker 1: and I just want to be like, is this better 1382 01:04:44,080 --> 01:04:46,080 Speaker 1: as it worse. I want to be the person that 1383 01:04:46,160 --> 01:04:48,000 Speaker 1: kind of helps people understand, like this is the ideal, 1384 01:04:48,080 --> 01:04:49,240 Speaker 1: but you can do it this way too. I'm not 1385 01:04:49,320 --> 01:04:52,080 Speaker 1: completely against frying things in animal fat um. I used 1386 01:04:52,120 --> 01:04:53,200 Speaker 1: to do that a lot. I just do a lot 1387 01:04:53,240 --> 01:04:54,640 Speaker 1: of the blanching now, and so I'll put it in 1388 01:04:54,720 --> 01:04:56,800 Speaker 1: the in the bone broth for maybe less than a minute. 1389 01:04:57,160 --> 01:04:59,200 Speaker 1: So I like my meat really raw, and so if 1390 01:04:59,200 --> 01:05:01,120 Speaker 1: you just cook the outs side and then you know 1391 01:05:01,200 --> 01:05:04,120 Speaker 1: the inside is pretty much like blue rare. Yeah, yeah, 1392 01:05:04,120 --> 01:05:05,600 Speaker 1: I'm not over cooking it. And the meat I get 1393 01:05:05,640 --> 01:05:07,680 Speaker 1: from these regenerative farms is pretty darn tender, and I 1394 01:05:07,760 --> 01:05:11,919 Speaker 1: love it. Not into fish. We can talk about fish. 1395 01:05:12,000 --> 01:05:16,320 Speaker 1: We can talk about fish. So I love fish. I 1396 01:05:16,440 --> 01:05:19,080 Speaker 1: just feel like a lot of fish is from sources 1397 01:05:19,120 --> 01:05:21,080 Speaker 1: that are polluted. If I could eat fish from clean 1398 01:05:21,200 --> 01:05:23,320 Speaker 1: rivers and lakes or oceans, I'll do it. So you 1399 01:05:23,360 --> 01:05:25,240 Speaker 1: don't like the heavy metals, I don't like the heavy metals. 1400 01:05:25,320 --> 01:05:28,360 Speaker 1: Get worried about this then microplastics. Yeah, I mean I 1401 01:05:28,440 --> 01:05:30,640 Speaker 1: think about this because I I test my heavy metals 1402 01:05:30,680 --> 01:05:32,920 Speaker 1: all the time, and I test the metals in my clients. 1403 01:05:32,960 --> 01:05:35,560 Speaker 1: And if I have had clients who eat opo, I 1404 01:05:35,600 --> 01:05:37,600 Speaker 1: go to the story they get opos wild or they 1405 01:05:37,640 --> 01:05:39,720 Speaker 1: get you know, it's just like I think I'm one 1406 01:05:39,720 --> 01:05:43,480 Speaker 1: of these bigger deep sea fishes. Oh I'm a minute, okay, yeah, um, 1407 01:05:44,200 --> 01:05:48,200 Speaker 1: halb don't eat with fish, yeah, halib it, sword fish, 1408 01:05:48,240 --> 01:05:49,560 Speaker 1: those kind of things. A lot of metals, and you'll 1409 01:05:49,600 --> 01:05:54,880 Speaker 1: see this down. We should have started with this if 1410 01:05:54,920 --> 01:05:58,760 Speaker 1: you're if you're guinea pigging yourself like all. I mean, 1411 01:05:58,880 --> 01:06:00,800 Speaker 1: I think that's awesome. I think we should have just 1412 01:06:00,880 --> 01:06:04,360 Speaker 1: started with this intro to to like set the record straight. 1413 01:06:04,520 --> 01:06:06,840 Speaker 1: He's you know, I think it's great, but there's no 1414 01:06:06,920 --> 01:06:11,400 Speaker 1: reason to apologize. Yeah, I mean, you know, it's like 1415 01:06:11,480 --> 01:06:13,240 Speaker 1: you feel a little bit of burden. Right. If I'm 1416 01:06:13,240 --> 01:06:15,240 Speaker 1: going to write a book as a physician, I'm going 1417 01:06:15,320 --> 01:06:17,040 Speaker 1: to test all my labs. I've probably done over a 1418 01:06:17,120 --> 01:06:19,480 Speaker 1: thousand blood work test at this point, and I talked 1419 01:06:19,480 --> 01:06:21,240 Speaker 1: about Yeah, I test my labs all the time. I 1420 01:06:21,240 --> 01:06:23,200 Speaker 1: had a couple of blood tests like last week. I've 1421 01:06:23,240 --> 01:06:25,160 Speaker 1: done it all my podcast multiple times. I love doing 1422 01:06:25,160 --> 01:06:27,600 Speaker 1: blood work and looking at things and looking at my 1423 01:06:27,640 --> 01:06:29,760 Speaker 1: inflammatory markers and my heavy metals, and I want to 1424 01:06:29,800 --> 01:06:31,160 Speaker 1: know these things because I'm writing a book and I 1425 01:06:31,240 --> 01:06:33,000 Speaker 1: have to be able to tell people this is what 1426 01:06:33,080 --> 01:06:34,560 Speaker 1: I think works, this is what I believe works. And 1427 01:06:34,560 --> 01:06:36,240 Speaker 1: I work with clients doing this too, So I see 1428 01:06:36,240 --> 01:06:38,000 Speaker 1: it all the time. And what I'm saying about the 1429 01:06:38,040 --> 01:06:41,880 Speaker 1: OPA or the uh, the I had so many a 1430 01:06:41,920 --> 01:06:43,800 Speaker 1: lot of tuna, and then you see the mercury and 1431 01:06:43,840 --> 01:06:47,240 Speaker 1: the blood rise immediately even three week, three times a week, 1432 01:06:47,320 --> 01:06:49,360 Speaker 1: wild Sam, and I'll see the mercury bump a little bit, 1433 01:06:49,400 --> 01:06:51,880 Speaker 1: and I'm like, oh, that's an ideal. Have we just 1434 01:06:52,040 --> 01:06:54,320 Speaker 1: over polluted all the oceans at this point? And I think, well, 1435 01:06:54,400 --> 01:06:57,360 Speaker 1: I like fish and I love fishing, and I love 1436 01:06:57,840 --> 01:06:59,440 Speaker 1: I've only fly fished a couple of times, but I 1437 01:06:59,520 --> 01:07:01,920 Speaker 1: freaking love being on rivers. I love being in those places. 1438 01:07:02,200 --> 01:07:04,200 Speaker 1: But I ask myself, is it the best food in 1439 01:07:05,440 --> 01:07:08,760 Speaker 1: was it? Was it fantastic food years ago? Absolutely? But 1440 01:07:09,120 --> 01:07:13,080 Speaker 1: the thing I worry about is that is fishing. I'm 1441 01:07:13,080 --> 01:07:14,520 Speaker 1: not telling people I can't fish. I'm just trying to 1442 01:07:14,600 --> 01:07:17,160 Speaker 1: offer tools that might be helpful for human health. But 1443 01:07:17,360 --> 01:07:21,640 Speaker 1: is fishing now like eating beef grown in downtown Tokyo. 1444 01:07:22,280 --> 01:07:24,640 Speaker 1: You know, if if you eat beef that's inhaling lots 1445 01:07:24,680 --> 01:07:26,440 Speaker 1: of polluted air all the time, is that the best 1446 01:07:26,480 --> 01:07:27,680 Speaker 1: kind of beef you want to eat? Like I want 1447 01:07:27,680 --> 01:07:29,560 Speaker 1: to eat beef that's grown on the Idyllic farm in 1448 01:07:29,600 --> 01:07:33,320 Speaker 1: northern California. Well, yeah, but they just eat short lived, 1449 01:07:33,600 --> 01:07:35,920 Speaker 1: non pasciferous fish. That's probably the way to do it. 1450 01:07:36,200 --> 01:07:39,080 Speaker 1: That's the way to Yeah, eat small fish that don't 1451 01:07:39,080 --> 01:07:42,960 Speaker 1: accumulate metals, avoid big old fish, to eat lots of 1452 01:07:43,040 --> 01:07:45,240 Speaker 1: big old fish. There you go, That probably the way 1453 01:07:45,280 --> 01:07:47,280 Speaker 1: to do it. So if I did more of that, 1454 01:07:47,440 --> 01:07:49,840 Speaker 1: maybe I do that, But I mean one could do that. 1455 01:07:50,000 --> 01:07:52,160 Speaker 1: You could do that. You could do that. And also 1456 01:07:52,200 --> 01:07:53,600 Speaker 1: if you were eating fish, you could eat the fish 1457 01:07:53,640 --> 01:07:55,760 Speaker 1: nose to tail too. You know. The the fish row 1458 01:07:55,880 --> 01:07:58,120 Speaker 1: is very beneficial and has been treasured by cultures for 1459 01:07:58,240 --> 01:08:01,360 Speaker 1: many generations as well. And the organs brain. Yeah, those 1460 01:08:01,400 --> 01:08:03,840 Speaker 1: kind of things are valuable. Fish eyes, fish head, soup. 1461 01:08:04,000 --> 01:08:06,280 Speaker 1: This is what we're talking about. Nose to tail. Let's 1462 01:08:06,280 --> 01:08:08,040 Speaker 1: get back to your daily diet. Okay, my daily diet. 1463 01:08:08,840 --> 01:08:11,640 Speaker 1: You started out. You got your bone broth. My bone broth. 1464 01:08:11,680 --> 01:08:14,920 Speaker 1: I blanched some some some some steaming in it. How 1465 01:08:15,000 --> 01:08:18,560 Speaker 1: much bone broth you drink? Uh? So I make a 1466 01:08:18,680 --> 01:08:20,960 Speaker 1: big pot for and it last me three to four days. 1467 01:08:20,960 --> 01:08:24,040 Speaker 1: I drink probably sixteen ounces a day of bone broth. 1468 01:08:24,680 --> 01:08:27,400 Speaker 1: No coffee, I don't do coffee. That's a plant. Yeah. 1469 01:08:27,520 --> 01:08:29,200 Speaker 1: Do you got any kind of coffee type thing you 1470 01:08:29,280 --> 01:08:31,560 Speaker 1: make just to get that sensation of drinking coffee? I 1471 01:08:31,600 --> 01:08:35,519 Speaker 1: do deep breaths, I'll just go, you know, or just 1472 01:08:35,680 --> 01:08:39,439 Speaker 1: the organs. You have to quit drinking coffee at some 1473 01:08:39,520 --> 01:08:41,760 Speaker 1: point in time. Was it hard? It was hard. I 1474 01:08:41,920 --> 01:08:43,680 Speaker 1: used to be a bike racer, so I used to 1475 01:08:43,760 --> 01:08:45,760 Speaker 1: race road bikes, and there's a big culture and road 1476 01:08:45,800 --> 01:08:48,800 Speaker 1: bike in around. Sipping your cappuccino with your finger out. Yeah, 1477 01:08:48,800 --> 01:08:50,920 Speaker 1: then like coffee and road bike in and stuff. Yeah, 1478 01:08:51,680 --> 01:08:53,439 Speaker 1: you know that kind of brings a bell. I've seen that, 1479 01:08:54,520 --> 01:08:56,519 Speaker 1: like a bunch of old dudes on bikes, the little 1480 01:08:56,560 --> 01:08:59,519 Speaker 1: clickie shoes going in and get going in to get coffee, 1481 01:08:59,560 --> 01:09:02,360 Speaker 1: and there's a there's yeah, you wear spandex, you drink 1482 01:09:02,400 --> 01:09:05,960 Speaker 1: coffee a lot of the time. Like, yeah, they're super excited. 1483 01:09:06,000 --> 01:09:08,040 Speaker 1: Maybe they shouldn't be wearing spandex. But that's a whole different, 1484 01:09:08,520 --> 01:09:10,600 Speaker 1: whole different stories. So and yeah, when I had to 1485 01:09:10,600 --> 01:09:12,559 Speaker 1: stop drinking coffee, got a wake at headache for a week, 1486 01:09:12,600 --> 01:09:13,760 Speaker 1: and I was like, okay, but it was giving me 1487 01:09:16,160 --> 01:09:20,600 Speaker 1: a drinking and give you a headache. I do, but 1488 01:09:20,880 --> 01:09:22,600 Speaker 1: sometimes I'm like I don't want to drink it for 1489 01:09:22,680 --> 01:09:26,280 Speaker 1: a week, and I don't drink camel tea in the morning. Yeah, 1490 01:09:26,560 --> 01:09:30,240 Speaker 1: he's very on your very you're the exception. I wind 1491 01:09:30,320 --> 01:09:32,240 Speaker 1: up where I can't get any coffee. I take a 1492 01:09:32,840 --> 01:09:39,880 Speaker 1: aspirin or Bobby profen. Proact what's the word I'm looking for. Proactively. Really, 1493 01:09:40,120 --> 01:09:42,080 Speaker 1: I'm like, I'm like, well, if I can't get a coffee, 1494 01:09:42,120 --> 01:09:43,439 Speaker 1: I'll get a headache. So I just treat. I just 1495 01:09:43,520 --> 01:09:45,600 Speaker 1: treat the headache. And I used to take Excedrin. I 1496 01:09:45,720 --> 01:09:47,960 Speaker 1: used to carry around exceed because he's got caffeine in it. 1497 01:09:48,680 --> 01:09:50,400 Speaker 1: Just I don't know, stick your head, and I used 1498 01:09:50,439 --> 01:09:53,160 Speaker 1: to water and do like twenty five push ups. You're golden. 1499 01:09:53,720 --> 01:09:57,200 Speaker 1: It's pain. That's not what he's trying to It's not 1500 01:09:57,360 --> 01:09:59,720 Speaker 1: the fact that he's not waking up. It's the fact 1501 01:09:59,760 --> 01:10:03,080 Speaker 1: that he's You're gonna get the caffeine addiction. So excedrin 1502 01:10:03,160 --> 01:10:04,680 Speaker 1: has a little bit of caffeine in it. I iced 1503 01:10:04,720 --> 01:10:06,880 Speaker 1: to bring it camping, and if we were doing a 1504 01:10:06,920 --> 01:10:08,400 Speaker 1: thing where there wasn't gonna be coffee in the morning, 1505 01:10:08,400 --> 01:10:10,000 Speaker 1: I would bring it and just take it instead of 1506 01:10:10,040 --> 01:10:12,800 Speaker 1: coffee so that I wouldn't get the coffee headache. But hey, 1507 01:10:12,800 --> 01:10:14,800 Speaker 1: what don't you talk about coffee? All right? So there 1508 01:10:14,840 --> 01:10:17,439 Speaker 1: you are. You have to drinking all this bone broth. 1509 01:10:17,600 --> 01:10:20,960 Speaker 1: Drinking bone broth eating tendons blanched me. And then I'll 1510 01:10:21,000 --> 01:10:22,960 Speaker 1: eat the organs, and I eat the organs raw. So 1511 01:10:23,160 --> 01:10:25,320 Speaker 1: I love to eat the organs ship. I'll do shooters. 1512 01:10:25,360 --> 01:10:27,519 Speaker 1: And I was talking to Korean about this before. I 1513 01:10:27,560 --> 01:10:28,760 Speaker 1: think a good way to eat liver is to do 1514 01:10:28,760 --> 01:10:30,320 Speaker 1: a shooter. But I realized a lot of people won't 1515 01:10:30,320 --> 01:10:31,920 Speaker 1: do this, which is why we made the descated organ 1516 01:10:31,960 --> 01:10:34,960 Speaker 1: supplements as well. So I'll do the organs and then 1517 01:10:35,160 --> 01:10:36,720 Speaker 1: So for the first I was just saying this. For 1518 01:10:36,760 --> 01:10:38,200 Speaker 1: the first year and a half I did this, I 1519 01:10:38,280 --> 01:10:40,599 Speaker 1: had no carbs in my diet. It was zero carb 1520 01:10:41,360 --> 01:10:43,719 Speaker 1: um but a lot of protein balm. Let me ask you, Okay, 1521 01:10:43,800 --> 01:10:46,560 Speaker 1: we'll come back to that. No, No, just a quick digression. 1522 01:10:48,040 --> 01:10:54,080 Speaker 1: Are you okay? Do you ever find yourself? Do you're 1523 01:10:54,360 --> 01:10:59,040 Speaker 1: sneak a donut? I think that, I'm I think that. 1524 01:10:59,280 --> 01:11:01,639 Speaker 1: Are you ever like my god? Do I want to donut? 1525 01:11:02,120 --> 01:11:04,479 Speaker 1: You know what? I will never eat another cookie as 1526 01:11:04,520 --> 01:11:06,760 Speaker 1: long as I live. I just don't crave them. See 1527 01:11:06,760 --> 01:11:09,800 Speaker 1: that's like, Yeahni, he's all anti sugar. Well, I just don't. 1528 01:11:10,520 --> 01:11:12,000 Speaker 1: You may not like the next thing I'm gonna say, 1529 01:11:12,040 --> 01:11:15,200 Speaker 1: but I don't. Um, I don't. I just don't crave 1530 01:11:15,280 --> 01:11:18,880 Speaker 1: those foods. I think in my mind, I've been able. No. 1531 01:11:19,080 --> 01:11:21,360 Speaker 1: I never did, not, even like a little kid. I mean, sure, 1532 01:11:21,400 --> 01:11:23,240 Speaker 1: as a little kid I did. But at some point 1533 01:11:23,320 --> 01:11:26,360 Speaker 1: there was a shift in my mind and psychologically I 1534 01:11:26,479 --> 01:11:29,000 Speaker 1: just connected the way I felt afterwards, and I was 1535 01:11:29,040 --> 01:11:31,360 Speaker 1: like it's not worth it. It's not worth it. Nothing 1536 01:11:31,479 --> 01:11:33,640 Speaker 1: takes as good as healthy feels. Tony Robbins said, that 1537 01:11:33,760 --> 01:11:35,880 Speaker 1: is I love it, you know, like I just prioritize it. 1538 01:11:35,920 --> 01:11:37,360 Speaker 1: I was like, you know what, in medical school, I 1539 01:11:37,439 --> 01:11:39,559 Speaker 1: was doing jiu jitsu. Man, I'm getting choked and ship. 1540 01:11:40,040 --> 01:11:41,720 Speaker 1: I don't want to feel bad the next day, Like 1541 01:11:41,760 --> 01:11:44,160 Speaker 1: I can't even a donut or drink alcohol, and you know, 1542 01:11:44,200 --> 01:11:46,000 Speaker 1: I just running and being in the woods. There's so 1543 01:11:46,040 --> 01:11:47,639 Speaker 1: many cool things I want to do in my life. 1544 01:11:48,400 --> 01:11:49,800 Speaker 1: I don't want it. It's not worth it to me 1545 01:11:49,880 --> 01:11:51,880 Speaker 1: to eat bad food. That's why I quit drinking so 1546 01:11:51,960 --> 01:11:54,639 Speaker 1: much alcohol. I love drinking alcohol, just like being hungover. 1547 01:11:54,880 --> 01:11:57,960 Speaker 1: Do you feel like you're more connected to how your 1548 01:11:58,000 --> 01:12:01,320 Speaker 1: body feels? And maybe the average person who if you ask, 1549 01:12:01,640 --> 01:12:04,400 Speaker 1: how do you feel after drinking five bottles of beer? 1550 01:12:04,560 --> 01:12:08,519 Speaker 1: How do you feel after eating half of a pound cake? 1551 01:12:09,360 --> 01:12:17,759 Speaker 1: That that you're yeah, or that you're actually tuned into 1552 01:12:18,680 --> 01:12:23,280 Speaker 1: a certain visceral feeling and experience of yourself, like moment 1553 01:12:23,400 --> 01:12:26,360 Speaker 1: by moment that you just there. You don't crave it 1554 01:12:26,400 --> 01:12:29,680 Speaker 1: because it feels like pain. Absolutely, And I think this 1555 01:12:29,840 --> 01:12:32,560 Speaker 1: is one of the key points is that when you 1556 01:12:32,680 --> 01:12:35,920 Speaker 1: simplify your diet enough. When you get clean enough quote unquote, 1557 01:12:35,960 --> 01:12:37,960 Speaker 1: you get you get a good baseline. A lot of 1558 01:12:38,000 --> 01:12:41,679 Speaker 1: people can't separate signal from noise, so they always feel shitty, 1559 01:12:41,760 --> 01:12:43,679 Speaker 1: or they always feel a little bit hungover, They always 1560 01:12:43,720 --> 01:12:45,400 Speaker 1: feel a little bit brain fog. Are they always a 1561 01:12:45,439 --> 01:12:48,559 Speaker 1: little depressed? Yeah, what you're saying, once you get clean 1562 01:12:48,680 --> 01:12:50,760 Speaker 1: quote unquote, you know once you and a lot of 1563 01:12:50,800 --> 01:12:52,719 Speaker 1: people experience that for the first time when they fast, 1564 01:12:53,160 --> 01:12:55,160 Speaker 1: because it's it's really tricky for people to understand what 1565 01:12:55,360 --> 01:12:57,120 Speaker 1: good food is. But if you if you really don't 1566 01:12:57,160 --> 01:12:59,320 Speaker 1: know what to eat, just fast for a few days, 1567 01:12:59,360 --> 01:13:01,000 Speaker 1: which is not easy, but fast for three days and 1568 01:13:01,040 --> 01:13:02,479 Speaker 1: you will feel the best you've ever felt in your 1569 01:13:02,479 --> 01:13:05,120 Speaker 1: life because you have no negative inputs. Now, the trick 1570 01:13:05,240 --> 01:13:06,840 Speaker 1: is being able to do that long term, because you 1571 01:13:06,880 --> 01:13:09,080 Speaker 1: can't fast forever you will die. But if you can 1572 01:13:09,200 --> 01:13:11,200 Speaker 1: feel as good as you feel when you are fasting, 1573 01:13:11,280 --> 01:13:13,280 Speaker 1: when you're eating food, then you found food that really 1574 01:13:13,320 --> 01:13:15,160 Speaker 1: worked with your body. And that's the way that I 1575 01:13:15,320 --> 01:13:17,040 Speaker 1: and now thousands of people feel when they're doing an 1576 01:13:17,120 --> 01:13:20,080 Speaker 1: animal based diet or mostly animal foods, eating nose to 1577 01:13:20,120 --> 01:13:22,600 Speaker 1: tail and so yes, I think that I've gotten so 1578 01:13:22,840 --> 01:13:26,920 Speaker 1: refined in the laboratory of this corporeum my body that 1579 01:13:27,120 --> 01:13:29,080 Speaker 1: I know when I eat something bad, I'm just like, man, 1580 01:13:29,240 --> 01:13:31,360 Speaker 1: I ate something, I'm off either my stomach feels off 1581 01:13:31,439 --> 01:13:33,240 Speaker 1: or I get brain fog. And I've heard it from 1582 01:13:33,280 --> 01:13:34,920 Speaker 1: my friends too. I mean, you know, I'm traveling with 1583 01:13:34,920 --> 01:13:36,439 Speaker 1: a couple of couple of my friends from Hard and 1584 01:13:36,479 --> 01:13:38,360 Speaker 1: Soil here, and you know, one of the guys had 1585 01:13:38,360 --> 01:13:39,640 Speaker 1: to eat a sandwich in the airport and he did 1586 01:13:39,680 --> 01:13:41,120 Speaker 1: it kind of cheapestly. I was like, Doug, where'd you go. 1587 01:13:41,200 --> 01:13:42,720 Speaker 1: He's like, I had a sandwich. I was like, why, 1588 01:13:42,760 --> 01:13:43,880 Speaker 1: why did you do that? You didn't want to eat 1589 01:13:43,880 --> 01:13:45,400 Speaker 1: it in front of me, did you? And he's like, yeah, 1590 01:13:45,720 --> 01:13:50,000 Speaker 1: sandwich shaming. Yeah. And then he was like, you know what, 1591 01:13:50,080 --> 01:13:51,960 Speaker 1: I don't feel good and he was farting all last 1592 01:13:52,040 --> 01:13:54,559 Speaker 1: night and stuff, and so you know, it's you can tell. 1593 01:13:54,640 --> 01:13:56,640 Speaker 1: But once you get your body kind of refined, that 1594 01:13:56,840 --> 01:13:58,840 Speaker 1: makes it so much easier to make behavioral change, because 1595 01:13:58,880 --> 01:14:01,320 Speaker 1: you know, like I actually saw what it felt like 1596 01:14:01,400 --> 01:14:04,200 Speaker 1: to feel really good, to sleep well, to wake up 1597 01:14:04,280 --> 01:14:06,880 Speaker 1: clear headed, to have energy, to like do one workout 1598 01:14:06,920 --> 01:14:07,880 Speaker 1: and then be like, you know, I could go work 1599 01:14:07,880 --> 01:14:09,960 Speaker 1: out again, or like do a workout and then play 1600 01:14:09,960 --> 01:14:13,640 Speaker 1: with your kids, or like proper human libido, or not 1601 01:14:13,800 --> 01:14:16,360 Speaker 1: being depressed or anxious or you know all those things. 1602 01:14:16,360 --> 01:14:19,040 Speaker 1: That's what makes life. We're living like training, right. It's 1603 01:14:19,080 --> 01:14:22,320 Speaker 1: like if you keep sticking your hand inside it, I 1604 01:14:22,400 --> 01:14:24,960 Speaker 1: don't know, a raccoon cage or something, and it bites 1605 01:14:25,000 --> 01:14:30,760 Speaker 1: your hand, you're gonna speaking up. He purnt up at 1606 01:14:30,840 --> 01:14:33,960 Speaker 1: raccoon cage. But I mean, I think you guys get 1607 01:14:34,000 --> 01:14:35,439 Speaker 1: it with drink, and a lot of people would drink 1608 01:14:35,439 --> 01:14:37,080 Speaker 1: all the time, don't even understand how good you could 1609 01:14:37,080 --> 01:14:38,920 Speaker 1: be when you don't drink. And I hear these people 1610 01:14:38,960 --> 01:14:40,559 Speaker 1: all the time when they cut things out of their diet. 1611 01:14:40,600 --> 01:14:43,320 Speaker 1: I never knew I could feel this good. I never 1612 01:14:43,400 --> 01:14:44,920 Speaker 1: knew I could feel as good as I felt when 1613 01:14:44,920 --> 01:14:47,120 Speaker 1: I cut bread out of my diet. I never knew 1614 01:14:47,120 --> 01:14:48,640 Speaker 1: how good I was gonna feel when I cut all 1615 01:14:48,680 --> 01:14:50,000 Speaker 1: these plants out of my diet, when I cut kill 1616 01:14:50,000 --> 01:14:51,360 Speaker 1: out of my diet. Had somebody email me that the 1617 01:14:51,400 --> 01:14:54,040 Speaker 1: other day. I never knew how good my gut, you know, 1618 01:14:54,160 --> 01:14:56,680 Speaker 1: my stomach could feel until I cut kill out of 1619 01:14:56,680 --> 01:15:00,800 Speaker 1: my diet. Mysteriously blow seriously, you know, I was trying 1620 01:15:00,800 --> 01:15:02,519 Speaker 1: to having Like I mean, I'll tell you, one of 1621 01:15:02,560 --> 01:15:05,280 Speaker 1: the best things about being eating a carnivore diet is 1622 01:15:05,320 --> 01:15:07,760 Speaker 1: you don't have to worry about farting, because that's really 1623 01:15:07,840 --> 01:15:10,680 Speaker 1: socially awkward and uncomfortable, you know, Like I mean. If 1624 01:15:10,720 --> 01:15:12,720 Speaker 1: you think a carnivore diet is hard on dating, try 1625 01:15:12,760 --> 01:15:15,080 Speaker 1: being a vegan because I was that too. I was 1626 01:15:15,120 --> 01:15:17,200 Speaker 1: a raw vegan for seven months. About you did that. 1627 01:15:17,479 --> 01:15:19,639 Speaker 1: I was a rab vegan for seven months. I was lost. 1628 01:15:20,400 --> 01:15:24,120 Speaker 1: I lost twenty five pounds of muscle mass, and all 1629 01:15:24,160 --> 01:15:25,439 Speaker 1: the people hang out with it were just like, man, 1630 01:15:25,479 --> 01:15:27,240 Speaker 1: you have the worst part. Now, what were you doing that? 1631 01:15:27,840 --> 01:15:30,600 Speaker 1: Why was I doing it? Like thirteen years ago? A 1632 01:15:30,680 --> 01:15:33,280 Speaker 1: long time ago, so you'd like, do a lot of 1633 01:15:33,320 --> 01:15:36,439 Speaker 1: guinea pigging. I love it. Now what this is I'm 1634 01:15:36,479 --> 01:15:37,960 Speaker 1: kind of annoyed by this question, but I have to 1635 01:15:38,000 --> 01:15:41,200 Speaker 1: ask you, when you're traveling, how are you how are 1636 01:15:41,240 --> 01:15:43,320 Speaker 1: you rigging up for your meals? Or it's just so 1637 01:15:43,520 --> 01:15:45,680 Speaker 1: simple because you're eating such simple things, it's not hard 1638 01:15:45,720 --> 01:15:47,519 Speaker 1: to get it. It's super simple. So we took I 1639 01:15:47,560 --> 01:15:49,400 Speaker 1: think that that's one of the reasons the desiccated stuff 1640 01:15:49,439 --> 01:15:51,400 Speaker 1: is super helpful, right, So we took the desicated stuff 1641 01:15:51,400 --> 01:15:52,560 Speaker 1: on the plane. If you don't want to travel with 1642 01:15:52,640 --> 01:15:56,200 Speaker 1: liver and spleaning pancreas, it's hard to get. I have done, yeah, 1643 01:15:57,240 --> 01:15:58,320 Speaker 1: but it's hard to get. You know. We went to 1644 01:15:58,400 --> 01:15:59,880 Speaker 1: the co op here in Bozeman and I was like, 1645 01:16:00,240 --> 01:16:02,120 Speaker 1: do you guys have any spleen? They're like no, what 1646 01:16:02,200 --> 01:16:04,040 Speaker 1: about pancreas? No? And even liver. We might have a 1647 01:16:04,080 --> 01:16:05,439 Speaker 1: little liver. I was like, I sweet, I got one 1648 01:16:06,479 --> 01:16:11,280 Speaker 1: for a cat's psychologists hanging up in that place. Maybe 1649 01:16:11,840 --> 01:16:14,040 Speaker 1: you coming the door, because like all those old signs, 1650 01:16:14,120 --> 01:16:17,240 Speaker 1: you like tear off a tab cat's cholos to get 1651 01:16:17,240 --> 01:16:18,960 Speaker 1: a shrink for your cat. I had to quit going 1652 01:16:18,960 --> 01:16:22,040 Speaker 1: into that store. But they had good meat. They had 1653 01:16:22,040 --> 01:16:24,840 Speaker 1: good meat. Maybe you can tell you that's right. Well, 1654 01:16:24,840 --> 01:16:26,680 Speaker 1: I'm waiting for the invite to dinner at Steve's house. 1655 01:16:26,680 --> 01:16:28,360 Speaker 1: I didn't get it yet. So that's that's about that. 1656 01:16:28,479 --> 01:16:30,360 Speaker 1: That's about all I got right now. But yeah, I 1657 01:16:30,360 --> 01:16:32,879 Speaker 1: mean it's it's super simple. So I think for traveling, 1658 01:16:32,880 --> 01:16:34,080 Speaker 1: I think, okay, what do I need to eat? I 1659 01:16:34,120 --> 01:16:35,800 Speaker 1: want to bring some suet, So I packed a little 1660 01:16:36,000 --> 01:16:38,040 Speaker 1: I got a little glass container. I brought some kidney fat. 1661 01:16:38,120 --> 01:16:40,080 Speaker 1: Who brings kidney fat on a plane except this guy. 1662 01:16:40,400 --> 01:16:43,160 Speaker 1: I brought some kidney fat. I brought some meat, and 1663 01:16:43,320 --> 01:16:44,840 Speaker 1: I forgot the liver. So I went to the store. 1664 01:16:44,840 --> 01:16:47,800 Speaker 1: I got some liver, and um, yeah, I brought some 1665 01:16:47,840 --> 01:16:49,960 Speaker 1: salt on the plane and I'm good. And so I 1666 01:16:50,000 --> 01:16:51,640 Speaker 1: didn't finish telling you guys what I eat in a 1667 01:16:51,680 --> 01:16:54,799 Speaker 1: day because there's one other thing, because it's so interesting. 1668 01:16:56,320 --> 01:16:57,760 Speaker 1: So for the first year and a half I did it. 1669 01:16:57,840 --> 01:17:00,479 Speaker 1: I had no carbs, right, no cars It was all keto, 1670 01:17:00,680 --> 01:17:02,800 Speaker 1: low carb. And then I started thinking about this a 1671 01:17:02,840 --> 01:17:04,120 Speaker 1: little more, and I thought, you know what, I think 1672 01:17:04,160 --> 01:17:07,360 Speaker 1: our ancestors would have had fruit occasionally seasonally. I know 1673 01:17:07,479 --> 01:17:10,280 Speaker 1: that the hods are really treasure hunty honey. Um. I 1674 01:17:10,360 --> 01:17:12,799 Speaker 1: got really interested in honey specifically, and there's really interesting 1675 01:17:12,920 --> 01:17:16,160 Speaker 1: data on honey being used to treat period on titus 1676 01:17:16,320 --> 01:17:19,000 Speaker 1: and ginger vitis. Honey is actually good for dental health 1677 01:17:19,520 --> 01:17:21,360 Speaker 1: in like the true form, which makes sense. It's a 1678 01:17:21,360 --> 01:17:23,280 Speaker 1: whole food. There's all kinds of compounds in there. And 1679 01:17:23,320 --> 01:17:24,760 Speaker 1: I was living in San Diego and I thought, you know, 1680 01:17:24,840 --> 01:17:27,960 Speaker 1: I feel a little cold sometimes I'm gonna reincorporate honey 1681 01:17:28,000 --> 01:17:29,439 Speaker 1: back in my diet and see how I feel. And 1682 01:17:29,520 --> 01:17:31,200 Speaker 1: of course, the you know part of me is like, 1683 01:17:31,240 --> 01:17:33,200 Speaker 1: I can't do that. It's it's not meat, and thought 1684 01:17:33,240 --> 01:17:35,680 Speaker 1: it's stupid to be dogmatic. Yeah, it's not a plan. 1685 01:17:35,760 --> 01:17:37,880 Speaker 1: And if vegans won't eat it, then I can eat it. 1686 01:17:38,960 --> 01:17:41,120 Speaker 1: That's the way I think about it. So I incorporated 1687 01:17:41,160 --> 01:17:43,120 Speaker 1: honey back in my diet and I really like it. 1688 01:17:43,280 --> 01:17:45,280 Speaker 1: So a lot of days I'll incorporate honey in my 1689 01:17:45,360 --> 01:17:49,160 Speaker 1: diet and that makes the whole thing seem a lot 1690 01:17:49,200 --> 01:17:51,400 Speaker 1: more appealing to me. And that's why I want you 1691 01:17:51,439 --> 01:17:53,240 Speaker 1: guys to read that chapter in the book about the 1692 01:17:53,280 --> 01:17:55,280 Speaker 1: Tier one carnivore diet where I say, hey, it's not 1693 01:17:55,320 --> 01:17:57,920 Speaker 1: about just eating meat. It's about eating meat in organs, 1694 01:17:57,960 --> 01:17:59,720 Speaker 1: but also knowing which parts of the plant are less 1695 01:17:59,760 --> 01:18:02,240 Speaker 1: tought sick. And there's a whole section of a carnivore 1696 01:18:02,360 --> 01:18:03,960 Speaker 1: ish diet in there where I say, okay, eat meat 1697 01:18:04,000 --> 01:18:05,880 Speaker 1: and organs, and then you can eat honey, and then 1698 01:18:05,920 --> 01:18:09,360 Speaker 1: like things like avocado and berries and squash. These are fruit. 1699 01:18:09,960 --> 01:18:12,000 Speaker 1: I think the fruit is the least toxic part of 1700 01:18:12,040 --> 01:18:13,479 Speaker 1: a plant. The plant is trying to get you to 1701 01:18:13,520 --> 01:18:15,479 Speaker 1: eat it most of the time. And so I think 1702 01:18:15,520 --> 01:18:19,200 Speaker 1: that generally speaking, fruit has been seasonally in our diets, 1703 01:18:19,240 --> 01:18:21,479 Speaker 1: and so berries. So when I thought about this, Okay, 1704 01:18:21,600 --> 01:18:24,040 Speaker 1: this is a version of an animal based diet. This 1705 01:18:24,200 --> 01:18:25,880 Speaker 1: is really how I want people to think about a 1706 01:18:25,960 --> 01:18:28,400 Speaker 1: carnivore ish diet, an animal based diet. And we're gonna 1707 01:18:28,439 --> 01:18:31,160 Speaker 1: make a cookbook that's based on a carnivora is diet 1708 01:18:31,280 --> 01:18:34,680 Speaker 1: next year with the same publisher, and it's the idea like, hey, 1709 01:18:34,800 --> 01:18:36,800 Speaker 1: eat animal meat and organs as a center of your diet, 1710 01:18:36,880 --> 01:18:39,680 Speaker 1: and then you can also have you can have carbohydrates 1711 01:18:39,680 --> 01:18:41,280 Speaker 1: if you want them, but eat it from the least 1712 01:18:41,320 --> 01:18:43,920 Speaker 1: toxic plant sources. Get rid of the kale and we 1713 01:18:43,960 --> 01:18:45,639 Speaker 1: can talk about why, and get rid of the seeds. 1714 01:18:45,960 --> 01:18:48,799 Speaker 1: But if you want to do things like avocado or squash, 1715 01:18:49,040 --> 01:18:51,880 Speaker 1: or berries or an apple or seasonal fruit, those are 1716 01:18:51,920 --> 01:18:54,719 Speaker 1: probably really fine for you. And that I think opens 1717 01:18:54,760 --> 01:18:56,360 Speaker 1: up the doors for a lot of people to to 1718 01:18:56,520 --> 01:19:00,200 Speaker 1: do this type of a diet. And it's the goal 1719 01:19:00,320 --> 01:19:02,160 Speaker 1: is not to be dogmatic. The goal is to help 1720 01:19:02,280 --> 01:19:05,719 Speaker 1: people get back to living well. Are you doing, honey 1721 01:19:05,880 --> 01:19:09,600 Speaker 1: right now? I do how much I do about do 1722 01:19:09,640 --> 01:19:12,120 Speaker 1: about a hundred and fifty grams of honey a day, 1723 01:19:12,640 --> 01:19:18,280 Speaker 1: which is a lot um. So a tablespoon is fifteen grahams, 1724 01:19:18,520 --> 01:19:23,640 Speaker 1: so it's about seven to ten tablespoon's day. No milk, No, 1725 01:19:23,680 --> 01:19:25,560 Speaker 1: I don't do milk. I don't do dairy. Now, A 1726 01:19:25,640 --> 01:19:28,479 Speaker 1: lot of people have trouble with dairy. An logically, I 1727 01:19:28,479 --> 01:19:30,160 Speaker 1: think our ancestors wouldn't have even a ton of milk. 1728 01:19:30,200 --> 01:19:31,880 Speaker 1: I know the mess. I eat milk, but if you 1729 01:19:31,960 --> 01:19:34,640 Speaker 1: can tolerate milk, it's an animal food, it's great. Um. 1730 01:19:34,840 --> 01:19:37,200 Speaker 1: But I have trouble with caseine and way I had 1731 01:19:37,200 --> 01:19:39,439 Speaker 1: an X amount really bad, which is the reason that 1732 01:19:39,479 --> 01:19:41,720 Speaker 1: I did a carnivore diet in the first place. You know, 1733 01:19:41,760 --> 01:19:45,240 Speaker 1: there's no ex amounts like bumpy. Yeah. Yeah, but my 1734 01:19:45,320 --> 01:19:48,040 Speaker 1: eximuma went went away completely when I did a carnivore 1735 01:19:48,040 --> 01:19:50,200 Speaker 1: diet and I tried everything else. I tried Keto and 1736 01:19:50,400 --> 01:19:52,280 Speaker 1: Paley and all this other stuff, and it couldn't It 1737 01:19:52,320 --> 01:19:55,600 Speaker 1: didn't fix it. So that was the reason I did it. 1738 01:19:55,720 --> 01:19:57,840 Speaker 1: But dairy always triggers my EXI must, so I don't 1739 01:19:57,880 --> 01:20:02,480 Speaker 1: do it. Okay, do you think if you're giving recommendations 1740 01:20:02,520 --> 01:20:08,640 Speaker 1: to people do you think that, like distilled down, is 1741 01:20:08,720 --> 01:20:12,320 Speaker 1: your message more that you need people need to add 1742 01:20:13,680 --> 01:20:17,320 Speaker 1: to their diet or they needed to take away from 1743 01:20:17,320 --> 01:20:19,360 Speaker 1: their diet. I think if you had to do one thing, 1744 01:20:19,439 --> 01:20:21,920 Speaker 1: it would be to simplify, and the one thing the 1745 01:20:22,040 --> 01:20:23,800 Speaker 1: first thing. So if you wanted to make a hierarchy, right, 1746 01:20:23,840 --> 01:20:25,120 Speaker 1: if people wanted to, If I if I were gonna 1747 01:20:25,120 --> 01:20:27,559 Speaker 1: recommend people do one thing, it's get rid of those 1748 01:20:27,640 --> 01:20:30,080 Speaker 1: vegetable oils. And this hasn't been the total focus of 1749 01:20:30,080 --> 01:20:33,040 Speaker 1: our conversation. So I think that if you're gonna do 1750 01:20:33,160 --> 01:20:35,599 Speaker 1: one thing, it would be get rid of those vegetable oils. 1751 01:20:35,680 --> 01:20:37,880 Speaker 1: And they're in a lot of things, right, So this 1752 01:20:38,040 --> 01:20:42,600 Speaker 1: is corn, canola, saf flower, sunflower, soybean oils. They're in 1753 01:20:42,680 --> 01:20:44,760 Speaker 1: a lot of foods. If you eliminate those from your 1754 01:20:44,800 --> 01:20:47,080 Speaker 1: diet and change nothing else, I think a lot of 1755 01:20:47,120 --> 01:20:49,519 Speaker 1: people will get to a better place in health. Now. 1756 01:20:49,920 --> 01:20:52,200 Speaker 1: I hope people won't stop there. I hope they will 1757 01:20:52,240 --> 01:20:55,080 Speaker 1: then add an animal meeting organs, and then I hope 1758 01:20:55,120 --> 01:20:57,760 Speaker 1: they will think about the plants they're eating and if 1759 01:20:57,800 --> 01:20:59,439 Speaker 1: they can get rid of the most toxic plants. There's 1760 01:20:59,479 --> 01:21:01,519 Speaker 1: like three apps, but that's the first step, and the 1761 01:21:01,520 --> 01:21:03,720 Speaker 1: first step is just simplify and get rid of the 1762 01:21:03,760 --> 01:21:05,720 Speaker 1: processed foods which are really full of those oils, and 1763 01:21:05,720 --> 01:21:08,000 Speaker 1: stop cooking with those oils. And part of that for 1764 01:21:08,000 --> 01:21:11,080 Speaker 1: a lot of people is also getting the best quality 1765 01:21:11,120 --> 01:21:14,000 Speaker 1: meat they can too, you know, because a lot of 1766 01:21:14,040 --> 01:21:15,840 Speaker 1: the meat that's fed corn and soy, these are not 1767 01:21:16,000 --> 01:21:19,200 Speaker 1: species appropriate diets and it can accumulate. It's what we 1768 01:21:19,320 --> 01:21:21,800 Speaker 1: know about things like pigs is that if you feed 1769 01:21:21,880 --> 01:21:23,600 Speaker 1: pigs corn and soy, their fat is going to be 1770 01:21:23,680 --> 01:21:26,920 Speaker 1: enriched in linelaic acid. And so that's probably a problem 1771 01:21:26,960 --> 01:21:28,479 Speaker 1: for a lot of people too. But first thing, cut 1772 01:21:28,479 --> 01:21:30,200 Speaker 1: out those vegetable oils and everything with them in it. 1773 01:21:30,479 --> 01:21:35,960 Speaker 1: That's higher than cutting out sugar. It is. No I'm 1774 01:21:36,000 --> 01:21:38,240 Speaker 1: not saying I want people to keep eating sugar, but 1775 01:21:38,320 --> 01:21:41,000 Speaker 1: I think I think I think that I think that 1776 01:21:41,080 --> 01:21:45,599 Speaker 1: the single greatest driver of chronic disease and metabolic dysfunction 1777 01:21:45,640 --> 01:21:48,120 Speaker 1: in humans is excess linelaic acid. And you can actually 1778 01:21:48,200 --> 01:21:50,880 Speaker 1: look at this. There's a fascinating set of graphs out there. 1779 01:21:50,920 --> 01:21:54,280 Speaker 1: You can look at human consumption of sugar and grains, 1780 01:21:54,800 --> 01:21:57,240 Speaker 1: and you can look at the rates of obesity and 1781 01:21:57,280 --> 01:21:59,200 Speaker 1: the rates of diabetes and the rates of chronic disease. 1782 01:22:00,040 --> 01:22:02,040 Speaker 1: And though if you look at those graphics, you can 1783 01:22:02,080 --> 01:22:06,080 Speaker 1: look at in from consumption of grains and sugar went 1784 01:22:06,160 --> 01:22:10,000 Speaker 1: up and sort did our consumption of vegetable oil massively, 1785 01:22:11,479 --> 01:22:15,680 Speaker 1: and then around um and rates of diabetes and obesity 1786 01:22:16,040 --> 01:22:20,960 Speaker 1: and chronic disease went up to but around between now 1787 01:22:22,280 --> 01:22:24,840 Speaker 1: rates of grain consumption and sugar have actually gone down, 1788 01:22:25,720 --> 01:22:28,320 Speaker 1: the vegetable oil has continued to rise, and we are 1789 01:22:28,400 --> 01:22:31,880 Speaker 1: still getting much fatter, much sicker, much more diabetic, and 1790 01:22:32,040 --> 01:22:34,640 Speaker 1: much worse from an autoimmune perspective. So again this is 1791 01:22:34,720 --> 01:22:39,599 Speaker 1: just all correlational sort of inference. But what you see 1792 01:22:39,680 --> 01:22:43,160 Speaker 1: here is like, huh, this is interesting, and I think, yeah, 1793 01:22:43,200 --> 01:22:44,680 Speaker 1: sugar is not a great thing for humans at all, 1794 01:22:44,800 --> 01:22:48,320 Speaker 1: and honey actually looks to behave differently than sugar in humans. 1795 01:22:49,200 --> 01:22:52,120 Speaker 1: But if you had to do one thing, it would 1796 01:22:52,120 --> 01:22:55,400 Speaker 1: be vegetable oils in my opinion, No ship real quick 1797 01:22:55,439 --> 01:22:58,360 Speaker 1: explaining what's the problem with with If you're like, what's 1798 01:22:58,400 --> 01:23:01,080 Speaker 1: the problem with Brian meat? Like if the meat is 1799 01:23:01,120 --> 01:23:03,519 Speaker 1: okay and the oil is okay, what happens when you 1800 01:23:03,600 --> 01:23:06,559 Speaker 1: get it's super hot and cook one and the other right, 1801 01:23:06,840 --> 01:23:10,240 Speaker 1: So now I think if you're gonna cook meat in oil, 1802 01:23:10,320 --> 01:23:12,680 Speaker 1: you want to do it an animal fat. Oh. Can 1803 01:23:12,720 --> 01:23:14,400 Speaker 1: I just tell you one of my new favorites. We've 1804 01:23:14,439 --> 01:23:16,519 Speaker 1: had it like three times in the last ten days. 1805 01:23:17,000 --> 01:23:20,200 Speaker 1: I raised a bunch of wild turkey thighs and legs, 1806 01:23:20,360 --> 01:23:23,360 Speaker 1: and then I've got a jar Brody's bear grease bar 1807 01:23:23,520 --> 01:23:26,240 Speaker 1: oil from last fall, and I've been just frying that. 1808 01:23:27,240 --> 01:23:31,040 Speaker 1: It's funny if i'd turkey meat in oil in bar oil. Yeah, 1809 01:23:31,160 --> 01:23:33,240 Speaker 1: it's funny because if I did it in like vegetable 1810 01:23:33,280 --> 01:23:35,639 Speaker 1: oil and peanut oil, I'd be like real careful about 1811 01:23:35,680 --> 01:23:38,879 Speaker 1: like taking the meat out and sort of like straining 1812 01:23:38,920 --> 01:23:40,560 Speaker 1: it or draining or whatever. But when I do it 1813 01:23:40,560 --> 01:23:42,800 Speaker 1: in that bear grease, I'm just like, man, I hope 1814 01:23:42,840 --> 01:23:45,080 Speaker 1: it soaks it up so that me and the kids 1815 01:23:45,120 --> 01:23:48,320 Speaker 1: are eating it, you know, because it's good. It is good, 1816 01:23:48,760 --> 01:23:51,240 Speaker 1: And so I got keep explaining a little bit better. 1817 01:23:51,720 --> 01:23:53,320 Speaker 1: I mean the same way that you say, like you 1818 01:23:53,479 --> 01:23:55,519 Speaker 1: you'd like to crisp up your Oh, I didn't know 1819 01:23:55,560 --> 01:23:57,880 Speaker 1: if you meant your drop like you're dropping a drumstick, 1820 01:23:57,960 --> 01:24:01,080 Speaker 1: like frying a drumstick, like like picked braised meat and 1821 01:24:01,160 --> 01:24:03,360 Speaker 1: then you fry it and then put it on something. Yeah, 1822 01:24:04,560 --> 01:24:06,160 Speaker 1: and what are you get into up the word again, 1823 01:24:07,240 --> 01:24:13,719 Speaker 1: you're getting all messed up on um lipid peroxide. Yeah, Okay, 1824 01:24:13,800 --> 01:24:15,840 Speaker 1: break that down for me. So it is very bad 1825 01:24:16,600 --> 01:24:20,280 Speaker 1: if maybe maybe not. So you heat it up and 1826 01:24:20,439 --> 01:24:22,800 Speaker 1: something bad happen. You heat it up at something bad happens. Now, 1827 01:24:23,200 --> 01:24:24,920 Speaker 1: humans have probably been dealing with this for a long 1828 01:24:25,000 --> 01:24:27,200 Speaker 1: long time. We know that when we eat foods there 1829 01:24:27,200 --> 01:24:30,320 Speaker 1: are compounds produced. When we heat foods and dry heated 1830 01:24:30,360 --> 01:24:32,960 Speaker 1: high temperatures, there are lots of things produced that our 1831 01:24:33,000 --> 01:24:36,040 Speaker 1: body has to kind of detoxify. Now, a lot of 1832 01:24:36,080 --> 01:24:38,000 Speaker 1: people will point to meat and say, oh, you shouldn't 1833 01:24:38,000 --> 01:24:41,240 Speaker 1: eat meat that's charged or grilled because of these compounds. 1834 01:24:41,280 --> 01:24:44,520 Speaker 1: And some of these are polycyclic aromatic hydrocarbons and heterosticic 1835 01:24:44,600 --> 01:24:46,680 Speaker 1: a means, and the body has a way to deal 1836 01:24:46,760 --> 01:24:49,360 Speaker 1: with these. But the question is just how much can 1837 01:24:49,400 --> 01:24:51,599 Speaker 1: we detoxify and are we you know, are we putting 1838 01:24:51,600 --> 01:24:54,160 Speaker 1: a stress on the body. I think that most people, 1839 01:24:54,720 --> 01:24:57,840 Speaker 1: if they're healthy and have enough nutrients from good animal 1840 01:24:57,880 --> 01:25:00,960 Speaker 1: meat and oregans, can make enough lutth ione, which is 1841 01:25:01,000 --> 01:25:03,559 Speaker 1: our endogenous antioxidant. It's how it's part of how our 1842 01:25:03,560 --> 01:25:07,680 Speaker 1: body deals with this to detoxify these compounds. But as 1843 01:25:07,800 --> 01:25:10,720 Speaker 1: the astronaut, I just thought, what if I decrease them 1844 01:25:10,720 --> 01:25:13,040 Speaker 1: as low as possible in my diet? Do I feel better? 1845 01:25:13,280 --> 01:25:15,120 Speaker 1: Do my labs change? That's why I do it. I 1846 01:25:15,200 --> 01:25:17,080 Speaker 1: just want to experiment and see, like what's the end? 1847 01:25:17,200 --> 01:25:19,880 Speaker 1: You know, how do we get people there? The same 1848 01:25:20,000 --> 01:25:21,920 Speaker 1: kind of things are happen when you cook food. I 1849 01:25:21,960 --> 01:25:25,760 Speaker 1: mean when you cook plants. So coffee has heterocyclic A 1850 01:25:25,800 --> 01:25:28,760 Speaker 1: means as well, and so there's a lot even if 1851 01:25:28,800 --> 01:25:31,120 Speaker 1: you cook bread and your brown bread or your toast bread. 1852 01:25:31,200 --> 01:25:34,040 Speaker 1: There are things like Malleard products, advanced Liketion end products. 1853 01:25:34,120 --> 01:25:37,560 Speaker 1: So cooking food creates things that the body has to detoxify. 1854 01:25:37,920 --> 01:25:39,840 Speaker 1: We probably have the ability to do it somewhat. You 1855 01:25:39,880 --> 01:25:42,320 Speaker 1: just don't want to overload the system, okay, And I 1856 01:25:42,400 --> 01:25:45,320 Speaker 1: think that you're underlying health probably determines how well you're 1857 01:25:45,320 --> 01:25:47,479 Speaker 1: able to detox about that, So in my mind, I thought, 1858 01:25:47,560 --> 01:25:49,280 Speaker 1: what if I just don't get my body any of 1859 01:25:49,320 --> 01:25:51,080 Speaker 1: that or the smallest amount possible. And that's kind of 1860 01:25:51,080 --> 01:25:54,800 Speaker 1: the experiment I'm doing. I'll agree cooking a ribby and 1861 01:25:54,920 --> 01:25:57,040 Speaker 1: tallow is delicious when you get the crust on it. 1862 01:25:57,520 --> 01:26:00,440 Speaker 1: What you're talking about there sounds delicious, crispy. Things arelicious. 1863 01:26:00,680 --> 01:26:03,000 Speaker 1: And if you're gonna cook in oil, cooking animal fat, 1864 01:26:03,080 --> 01:26:06,479 Speaker 1: do not cooking vegetable oil, please. When you cook fats, 1865 01:26:06,520 --> 01:26:09,599 Speaker 1: you get what are called lipid peroxides. These are essentially 1866 01:26:09,720 --> 01:26:13,200 Speaker 1: free radicals formed by lipids. So a lipid is a 1867 01:26:13,240 --> 01:26:16,040 Speaker 1: fat molecule. And what we're talking about here now are electrons, 1868 01:26:16,080 --> 01:26:20,320 Speaker 1: and we're talking about unpaired electrons. And these molecules are reactive. 1869 01:26:20,360 --> 01:26:23,120 Speaker 1: They can move around the human body and cause damage, 1870 01:26:23,120 --> 01:26:25,560 Speaker 1: and so your body has to detoxify them. So I 1871 01:26:25,640 --> 01:26:27,479 Speaker 1: think it's just for me. It was the experiment, how 1872 01:26:27,520 --> 01:26:29,479 Speaker 1: do I get the least amount of the ease of possible? 1873 01:26:29,840 --> 01:26:31,479 Speaker 1: And then can I see in my blood work that 1874 01:26:31,600 --> 01:26:35,120 Speaker 1: things like lipid peroxides change or other markers of oxidative stress, 1875 01:26:36,240 --> 01:26:38,439 Speaker 1: you know, esoteric markers I use in medicine, like eight 1876 01:26:38,520 --> 01:26:41,639 Speaker 1: hydroxy two deoxy iguanasine, which is a marker of DNA damage, 1877 01:26:42,080 --> 01:26:44,479 Speaker 1: or malon dialdehyde, all that kind of stuff. So that's 1878 01:26:44,520 --> 01:26:48,080 Speaker 1: why I do it. Now, if if somebody came to 1879 01:26:48,200 --> 01:26:50,439 Speaker 1: me and said, am I eating too much of these, 1880 01:26:50,479 --> 01:26:52,160 Speaker 1: I'd say, well, let's just check some blood work. We 1881 01:26:52,240 --> 01:26:55,479 Speaker 1: can see you know, we can look at your oxidative stress. 1882 01:26:55,479 --> 01:26:57,280 Speaker 1: I can look at how much glue toothion you've got 1883 01:26:57,560 --> 01:26:59,560 Speaker 1: and how much of its oxidized versus reduce. So I 1884 01:26:59,560 --> 01:27:01,439 Speaker 1: could tell yeah, you know, like, oh, maybe you want 1885 01:27:01,479 --> 01:27:03,040 Speaker 1: to stop doing that as much, or maybe it just 1886 01:27:03,080 --> 01:27:05,479 Speaker 1: needs more of the nutrients that are going to allow 1887 01:27:05,520 --> 01:27:07,280 Speaker 1: your body to talk about stuff. But that's why I 1888 01:27:07,320 --> 01:27:09,080 Speaker 1: do it. Does that make sense? And I'm only not 1889 01:27:09,160 --> 01:27:12,080 Speaker 1: trying to be a party pooper, you know, talk about 1890 01:27:12,120 --> 01:27:13,519 Speaker 1: like the most boring way to eat food. I just 1891 01:27:13,520 --> 01:27:26,599 Speaker 1: think about it medically too. Remember earlier, we're talking about 1892 01:27:26,640 --> 01:27:30,680 Speaker 1: objective realities. Okay, I imagine that in the medical community, 1893 01:27:31,600 --> 01:27:36,240 Speaker 1: it's possible to draw someone's blood and then look at 1894 01:27:36,960 --> 01:27:39,559 Speaker 1: the blood do the blood work on someone, and there 1895 01:27:39,600 --> 01:27:44,880 Speaker 1: probably isn't there's probably like an academic consensus about what 1896 01:27:46,640 --> 01:27:49,800 Speaker 1: the markers in there, whether that's a healthy person or not. 1897 01:27:49,920 --> 01:27:52,519 Speaker 1: Is that true or not true? Generally? Is there something 1898 01:27:52,600 --> 01:27:54,920 Speaker 1: still to argue about. There are a few things to 1899 01:27:55,040 --> 01:27:58,040 Speaker 1: argue about, but percent of it is like, yeah, we 1900 01:27:58,080 --> 01:28:00,360 Speaker 1: can look at inflammatory markers, we can look at markers 1901 01:28:00,400 --> 01:28:03,160 Speaker 1: of oxidation, lipid, peroxydes, all that kind of stuff. Yes, Okay, 1902 01:28:03,600 --> 01:28:06,439 Speaker 1: so if we drew yours. Let's say I drew yours 1903 01:28:06,439 --> 01:28:08,240 Speaker 1: and I took it and just showed I drew your 1904 01:28:08,280 --> 01:28:10,640 Speaker 1: blood and had your blood work drawn up, and I 1905 01:28:10,720 --> 01:28:13,240 Speaker 1: took it and showed it to It's just a random 1906 01:28:13,320 --> 01:28:16,240 Speaker 1: doctor coming down the road. Yeah, I'd be like, hey, man, 1907 01:28:16,320 --> 01:28:18,120 Speaker 1: what what's up? What do you think when you look 1908 01:28:18,120 --> 01:28:20,560 Speaker 1: at this right? What would they be able to tell me? 1909 01:28:20,680 --> 01:28:25,160 Speaker 1: Would they say, man, oh, that's really surprising to see 1910 01:28:25,320 --> 01:28:29,519 Speaker 1: such low or such high this and that they would 1911 01:28:29,560 --> 01:28:31,559 Speaker 1: just say that guy looks really healthy for the most part, 1912 01:28:31,600 --> 01:28:33,160 Speaker 1: except for one thing. And we can get into that 1913 01:28:33,240 --> 01:28:35,560 Speaker 1: if you want, Like, well, I mean, what is the 1914 01:28:35,600 --> 01:28:37,520 Speaker 1: one thing? The one thing is l d L cholesterol, 1915 01:28:37,600 --> 01:28:39,760 Speaker 1: which is a whole rabbit hole to go down. So 1916 01:28:40,160 --> 01:28:42,120 Speaker 1: but that would pop out to them, that would pop 1917 01:28:42,200 --> 01:28:43,800 Speaker 1: out to them for sure, you have a lot of it. 1918 01:28:44,000 --> 01:28:45,679 Speaker 1: I have a lot of l d L in my body. 1919 01:28:46,080 --> 01:28:47,960 Speaker 1: I do, I do, And everybody's been told that L 1920 01:28:48,000 --> 01:28:50,479 Speaker 1: d L is bad for you. But there's a whole 1921 01:28:50,560 --> 01:28:52,639 Speaker 1: chapter in my book kind of breaking down that myth 1922 01:28:52,680 --> 01:28:55,840 Speaker 1: and talking about how the lipid hypothesis is really wrong 1923 01:28:55,920 --> 01:28:58,880 Speaker 1: in my opinion and widely challenged. So we can go 1924 01:28:58,920 --> 01:29:01,120 Speaker 1: down the shot they would see or they'd be like, yeah, 1925 01:29:01,120 --> 01:29:02,920 Speaker 1: the gala's great. Yeah, if you don't show my LDL. 1926 01:29:03,160 --> 01:29:04,600 Speaker 1: If you if you just cover up L d L 1927 01:29:04,600 --> 01:29:06,320 Speaker 1: and look at it, they be like, Wow, there's no inflammation. 1928 01:29:07,000 --> 01:29:09,200 Speaker 1: His kidneys look fine, his liver looks fine. He's got 1929 01:29:09,240 --> 01:29:11,880 Speaker 1: plenty of vitamin markers. He's got his vitamin D is high. Man, 1930 01:29:11,920 --> 01:29:14,640 Speaker 1: it's testosterones high. Everything, that's good. What am I? What 1931 01:29:14,680 --> 01:29:16,280 Speaker 1: am I looking at this guy? Like? How am I 1932 01:29:16,320 --> 01:29:18,160 Speaker 1: looking at here? And then it showing the LDL and 1933 01:29:18,200 --> 01:29:19,640 Speaker 1: they kind of like fall out of their chair and 1934 01:29:19,680 --> 01:29:22,840 Speaker 1: they'd say, what, he's gonna die. He's gonna he's gonna die. 1935 01:29:22,880 --> 01:29:26,320 Speaker 1: He needs a statin. Yeah, yeah, I say he needs 1936 01:29:26,360 --> 01:29:28,040 Speaker 1: med's yeah. Absolutely. And I can tell you the story. 1937 01:29:28,080 --> 01:29:29,960 Speaker 1: It's a pretty interesting story. But you don't need one. 1938 01:29:30,080 --> 01:29:34,400 Speaker 1: I definitely don't. So when my dad, so I'm forty three, 1939 01:29:35,320 --> 01:29:37,719 Speaker 1: When my dad was forty three, he had a heart attack. 1940 01:29:38,320 --> 01:29:41,679 Speaker 1: So I have a primary relative who had an early 1941 01:29:41,760 --> 01:29:46,519 Speaker 1: onset corner artery disease. Right, I've had a high quote 1942 01:29:46,720 --> 01:29:49,240 Speaker 1: LDL low density lip, a protein which is colloquially known 1943 01:29:49,280 --> 01:29:54,080 Speaker 1: as bad cholesterol, which is totally the wrong. Yeah. Yeah, 1944 01:29:54,360 --> 01:29:57,000 Speaker 1: I've had a high l d L four probably three 1945 01:29:57,080 --> 01:29:58,720 Speaker 1: plus years, I mean the whole time I've been doing 1946 01:29:58,760 --> 01:30:00,519 Speaker 1: a carnivore diet. My l d l's and over two 1947 01:30:00,640 --> 01:30:04,200 Speaker 1: hundred and the last one I got was very high. 1948 01:30:04,479 --> 01:30:06,320 Speaker 1: And so we can go down rabbit holes. This is 1949 01:30:06,320 --> 01:30:08,559 Speaker 1: a very complex discussion about why l d L goes 1950 01:30:08,600 --> 01:30:10,679 Speaker 1: up and down. It probably has to do with ratio. 1951 01:30:10,760 --> 01:30:13,200 Speaker 1: Is a saturated fat unsaturated fat in the human body, 1952 01:30:13,240 --> 01:30:16,719 Speaker 1: and that goes back to previous discussions about whether saturated 1953 01:30:16,760 --> 01:30:18,479 Speaker 1: fat is actually bad for humans. I don't believe it 1954 01:30:18,560 --> 01:30:20,400 Speaker 1: is at all. It's part of something we've been eating forever. 1955 01:30:21,040 --> 01:30:23,880 Speaker 1: But if you just pause there in my story, well 1956 01:30:23,880 --> 01:30:25,720 Speaker 1: I'll tell you the rest of the story. So I've 1957 01:30:25,760 --> 01:30:28,479 Speaker 1: had a high LDL for over two years, and because 1958 01:30:28,520 --> 01:30:29,760 Speaker 1: it was so high, I thought, oh, this is a 1959 01:30:29,800 --> 01:30:32,479 Speaker 1: great opportunity to illustrate something. So I had what's called 1960 01:30:32,479 --> 01:30:35,240 Speaker 1: a coronary artery calcium score. They do a CT scan 1961 01:30:35,320 --> 01:30:37,320 Speaker 1: of your heart and they look for calcium in your arteries, 1962 01:30:37,320 --> 01:30:42,320 Speaker 1: which is calcified black. Not a perfect test, but pretty teeth. Yes, exceptually, 1963 01:30:42,439 --> 01:30:44,120 Speaker 1: and except it ends up in the heart arteries. And 1964 01:30:44,160 --> 01:30:46,360 Speaker 1: this is sort of telling you you have atheros school roses. 1965 01:30:46,400 --> 01:30:48,679 Speaker 1: This is the people to people worry about the plaque 1966 01:30:48,720 --> 01:30:51,800 Speaker 1: that ruptures in the arteries. Is this plaque? Right? So 1967 01:30:52,120 --> 01:30:56,960 Speaker 1: I have zero zero, And so in talking to cardiologists 1968 01:30:57,080 --> 01:31:00,519 Speaker 1: and in talking to cardiac radiologists, if you showed them 1969 01:31:00,560 --> 01:31:02,599 Speaker 1: my blood work, they would say, oh, yeah, that guy 1970 01:31:02,680 --> 01:31:04,160 Speaker 1: has a family history and his dad who had a 1971 01:31:04,200 --> 01:31:05,840 Speaker 1: heart attack at his age, and his l d L. 1972 01:31:06,479 --> 01:31:08,519 Speaker 1: Right now, my l d L is five and thirty 1973 01:31:08,560 --> 01:31:11,720 Speaker 1: four milligrams for desci leader. Uh, most doctors want to 1974 01:31:11,720 --> 01:31:14,240 Speaker 1: see it under a hundred. So I'm like superstar and 1975 01:31:14,400 --> 01:31:17,559 Speaker 1: l d L I'm like massively high. And they would say, oh, yeah, 1976 01:31:17,560 --> 01:31:19,479 Speaker 1: that guy is gonna have plaque. I have zero plaque. 1977 01:31:19,479 --> 01:31:21,840 Speaker 1: And there are so many stories like mine about this. 1978 01:31:22,000 --> 01:31:23,519 Speaker 1: Now you could say it's not a perfect test, not 1979 01:31:23,560 --> 01:31:26,200 Speaker 1: a perfect test, but it's pretty darned sensitive for that 1980 01:31:26,280 --> 01:31:28,120 Speaker 1: kind of plaque. And I have a primary relative a 1981 01:31:28,120 --> 01:31:30,160 Speaker 1: heart attack in my age. Now I'll just keep getting 1982 01:31:30,200 --> 01:31:32,040 Speaker 1: them and showing people that at zero. But it challenges 1983 01:31:32,120 --> 01:31:34,799 Speaker 1: the idea that l d L cholesterol equals heart attacks, 1984 01:31:34,800 --> 01:31:37,400 Speaker 1: and I challenge this broadly in the book. This is 1985 01:31:37,560 --> 01:31:39,880 Speaker 1: such a big misunderstanding, and it's a lot of the 1986 01:31:40,040 --> 01:31:42,960 Speaker 1: reason that vegetable oils get recommended to us as healthy 1987 01:31:43,000 --> 01:31:47,000 Speaker 1: because vegetable oils lower L d L. Saturated fat raises 1988 01:31:47,160 --> 01:31:49,679 Speaker 1: L d L. And yet what do we know about 1989 01:31:50,120 --> 01:31:53,040 Speaker 1: vegetable oils. We know they're very unhealthy for people, And 1990 01:31:53,160 --> 01:31:55,000 Speaker 1: what do we know about saturated fat, Well, it's pretty 1991 01:31:55,040 --> 01:31:58,200 Speaker 1: darned healthy for people. There's a really famous trial called 1992 01:31:58,240 --> 01:32:03,160 Speaker 1: the Minnesota Cornery Experiment which was done in nineteen seventy three, 1993 01:32:04,160 --> 01:32:07,000 Speaker 1: and they took I think it was over nine thousand people. 1994 01:32:07,080 --> 01:32:10,040 Speaker 1: This is a randomized, blinded study. It's interventional study, this 1995 01:32:10,120 --> 01:32:14,400 Speaker 1: is not epidemiology. It took over nine thousand people in Minnesota, 1996 01:32:14,920 --> 01:32:17,720 Speaker 1: and they put half of them on high saturated fat 1997 01:32:17,800 --> 01:32:21,000 Speaker 1: diets or higher saturated fat, and another half on higher 1998 01:32:21,040 --> 01:32:24,080 Speaker 1: polyN saturated fat from vegetable oil. And that trial went 1999 01:32:24,160 --> 01:32:26,320 Speaker 1: five years, and at the end of the trial, the 2000 01:32:26,360 --> 01:32:29,040 Speaker 1: people who had more polyan saturated fat had higher rates 2001 01:32:29,040 --> 01:32:32,680 Speaker 1: of death from cancer, heart disease, and overall all cause mortality. 2002 01:32:33,160 --> 01:32:36,640 Speaker 1: They clearly died more of all sorts of badness when 2003 01:32:36,680 --> 01:32:38,920 Speaker 1: they had more polyan saturated fats. It's a huge study, 2004 01:32:38,960 --> 01:32:40,760 Speaker 1: it's very well done. It's sort of like cut and 2005 01:32:40,880 --> 01:32:44,880 Speaker 1: dry vegetable oils are horrible for humans, and these are 2006 01:32:44,880 --> 01:32:47,320 Speaker 1: the oils that are cardiologists will tell us to eat 2007 01:32:47,360 --> 01:32:50,000 Speaker 1: because they lower L d L, and our framework for 2008 01:32:50,080 --> 01:32:54,679 Speaker 1: cardiovascular health is entirely l d L centric, totally eldal centric. 2009 01:32:54,680 --> 01:32:56,960 Speaker 1: If it raises LDL, it is bad. If it lowers LDEL, 2010 01:32:57,000 --> 01:32:59,479 Speaker 1: it's good. Except if you actually dig into the medical 2011 01:32:59,520 --> 01:33:01,120 Speaker 1: literature and this gets to be a little les oteric, 2012 01:33:01,200 --> 01:33:03,240 Speaker 1: and you look at this. What you find is that 2013 01:33:03,360 --> 01:33:06,280 Speaker 1: when you give someone polyon saturated fats like linoleic acid, 2014 01:33:06,320 --> 01:33:10,480 Speaker 1: like vegetable oils, they're LDL goes down, but they're oxidized. 2015 01:33:10,600 --> 01:33:13,120 Speaker 1: L d L goes up, and another marker called LP 2016 01:33:13,240 --> 01:33:15,559 Speaker 1: little A, which is a marker for oxidation and LDL 2017 01:33:15,680 --> 01:33:18,000 Speaker 1: also goes up. What we now know is that it's 2018 01:33:18,040 --> 01:33:19,640 Speaker 1: not so much about the L d L that you have, 2019 01:33:20,200 --> 01:33:22,840 Speaker 1: it's about how much of that is suffering oxidation. There's 2020 01:33:22,840 --> 01:33:25,200 Speaker 1: that word again, so oxidation. That's the kind of stuff 2021 01:33:25,200 --> 01:33:27,720 Speaker 1: I'm worried about with lipid peroxides and free radicals, and 2022 01:33:28,080 --> 01:33:31,320 Speaker 1: polycyclic aromatic hydrocarbons is oxidative stress. We're talking about the 2023 01:33:31,360 --> 01:33:34,519 Speaker 1: movement of electrons, So you really don't want your l 2024 01:33:34,600 --> 01:33:37,519 Speaker 1: d L to be oxidized. And when you give someone 2025 01:33:37,600 --> 01:33:40,400 Speaker 1: vegetable oil, more LD'LL gets oxidized. The overall amount of 2026 01:33:40,439 --> 01:33:43,680 Speaker 1: l DL goes down, but more LDL gets oxidized. So 2027 01:33:43,840 --> 01:33:47,360 Speaker 1: this is one of the sort of last or it's 2028 01:33:47,400 --> 01:33:49,639 Speaker 1: just not even a last one. It's just a very 2029 01:33:49,880 --> 01:33:52,560 Speaker 1: widely held belief that needs to die because it's just 2030 01:33:52,840 --> 01:33:55,200 Speaker 1: wrong and it's hurting people. And in the book, I 2031 01:33:55,240 --> 01:33:57,439 Speaker 1: kind of break this down. There's lots of other studies 2032 01:33:57,520 --> 01:34:01,439 Speaker 1: that show that more l d L does not always 2033 01:34:01,520 --> 01:34:04,280 Speaker 1: equal more cornary arter disease. And it's not the fact 2034 01:34:04,360 --> 01:34:06,479 Speaker 1: that LDL just goes into your arteries and causes plaque. 2035 01:34:06,520 --> 01:34:09,240 Speaker 1: That doesn't make any sense. Because LDL load density liver 2036 01:34:09,280 --> 01:34:12,080 Speaker 1: protein is a boat in your body. It's like a 2037 01:34:12,160 --> 01:34:14,799 Speaker 1: bus and moves things around the body. It's valuable for humans. 2038 01:34:15,320 --> 01:34:19,679 Speaker 1: It moves steroid backbone molecules to your testicles, to the ovaries, 2039 01:34:19,720 --> 01:34:21,519 Speaker 1: to the adrenal glands, to your brain to make all 2040 01:34:21,560 --> 01:34:25,240 Speaker 1: the hormones that make us human beings. We need. This molecule, 2041 01:34:25,800 --> 01:34:28,479 Speaker 1: l d L and HDL it's counterpart, also play a 2042 01:34:28,600 --> 01:34:31,920 Speaker 1: role in the immune response. If you talk about kids 2043 01:34:32,000 --> 01:34:34,639 Speaker 1: who don't have enough l d L, they get sick 2044 01:34:34,720 --> 01:34:38,040 Speaker 1: way more often. There's a genetic condition with a mutation 2045 01:34:38,160 --> 01:34:41,240 Speaker 1: in the enzyme that makes cholesterol. Now, cholesterol is a 2046 01:34:41,280 --> 01:34:43,920 Speaker 1: steroid backbone molecule that gets packaged into the l d 2047 01:34:44,080 --> 01:34:47,440 Speaker 1: L particle. L d L is a bus that carries triglycerides, 2048 01:34:47,479 --> 01:34:51,200 Speaker 1: which are fat molecules, and cholesterol, and so l d 2049 01:34:51,439 --> 01:34:54,519 Speaker 1: L and cholesterol are sort of synonymous colloquially, but that's 2050 01:34:54,560 --> 01:34:57,639 Speaker 1: not really the correct terminology. Cholesterol is a steroid backbone 2051 01:34:57,680 --> 01:35:00,559 Speaker 1: molecule that gets made by our body and packaged into 2052 01:35:00,720 --> 01:35:03,280 Speaker 1: l d L. There's a genetic condition called Smith Lemley 2053 01:35:03,360 --> 01:35:06,400 Speaker 1: op Pits syndrome in which kids can't make or humans 2054 01:35:06,760 --> 01:35:10,320 Speaker 1: can't make LDL or they can't make cholesterol, which results 2055 01:35:10,320 --> 01:35:12,080 Speaker 1: in very low levels of l d L. A lot 2056 01:35:12,120 --> 01:35:14,720 Speaker 1: of these kids die in utero, and those that are 2057 01:35:14,760 --> 01:35:18,720 Speaker 1: born have pretty seriously bad medical conditions. They have a 2058 01:35:18,760 --> 01:35:21,240 Speaker 1: lot of times mental retardation, they have recurring infections, and 2059 01:35:21,280 --> 01:35:23,720 Speaker 1: the way they are treated is they are given egg 2060 01:35:23,760 --> 01:35:26,320 Speaker 1: yolks they are given lots and lots of egg yolks, 2061 01:35:26,360 --> 01:35:28,960 Speaker 1: which are super rich in cholesterol. So we give kids 2062 01:35:29,080 --> 01:35:31,720 Speaker 1: back cholesterol and they do better when they can't make it. 2063 01:35:32,320 --> 01:35:34,360 Speaker 1: And yet we are told by the medical establishment that 2064 01:35:34,439 --> 01:35:38,920 Speaker 1: this molecule, this l d L cholesterol molecule, or cholesterol 2065 01:35:38,960 --> 01:35:41,479 Speaker 1: in general, are trying to kill us. And it kind 2066 01:35:41,479 --> 01:35:43,040 Speaker 1: of goes back to this theme that we've been talking 2067 01:35:43,040 --> 01:35:46,160 Speaker 1: about throughout this podcast. Why would something that has been 2068 01:35:46,160 --> 01:35:49,800 Speaker 1: an essential part of our evolution suddenly be bad for us, 2069 01:35:49,800 --> 01:35:52,400 Speaker 1: whether it's eating me and organs, or whether it's a 2070 01:35:52,520 --> 01:35:55,439 Speaker 1: molecule that's essential to human health, why would that be 2071 01:35:55,600 --> 01:35:58,519 Speaker 1: bad for us? We have to rethink these paradigms, but 2072 01:35:58,680 --> 01:36:01,080 Speaker 1: so much of medicine move so lowly. It's like the Titanic. 2073 01:36:01,160 --> 01:36:04,080 Speaker 1: You just can't change these paradigms. They're just so bent 2074 01:36:04,240 --> 01:36:05,560 Speaker 1: on it. But that's why I do the work I do. 2075 01:36:06,600 --> 01:36:09,080 Speaker 1: L d L is not the enemy. The enemy is 2076 01:36:09,120 --> 01:36:13,120 Speaker 1: the underlying metabolic dysfunction and or it's synonymous with insulin 2077 01:36:13,200 --> 01:36:16,519 Speaker 1: resistance or pre diabetes. That really lights the LDL on fire, 2078 01:36:16,600 --> 01:36:19,320 Speaker 1: but it didn't cause the blaze. So at a very 2079 01:36:19,360 --> 01:36:21,120 Speaker 1: broad strokes level, I asked people to think about it 2080 01:36:21,160 --> 01:36:24,639 Speaker 1: like this. Imagine l d L like wood in your garage. 2081 01:36:25,280 --> 01:36:27,360 Speaker 1: You're not gonna get spontaneous conduction into that would. You 2082 01:36:27,400 --> 01:36:29,759 Speaker 1: have to have a spark, And that spark is underlying 2083 01:36:29,800 --> 01:36:33,120 Speaker 1: metabolic disfunction. Without a spark, that l d L is 2084 01:36:33,120 --> 01:36:35,120 Speaker 1: actually just valuable because you can build a house out 2085 01:36:35,120 --> 01:36:37,200 Speaker 1: of it. You could build a house or a cabin, 2086 01:36:37,400 --> 01:36:39,360 Speaker 1: or you could build a treehouse for your kids out 2087 01:36:39,400 --> 01:36:41,160 Speaker 1: of that wood in your garage. But if you get 2088 01:36:41,200 --> 01:36:43,120 Speaker 1: gasoline there and you light a fire, that that wood's 2089 01:36:43,120 --> 01:36:45,640 Speaker 1: gonna go up. So because the LDL is involved in 2090 01:36:45,680 --> 01:36:47,839 Speaker 1: a plaque, doesn't mean that l d L caused the plaque. 2091 01:36:48,680 --> 01:36:50,760 Speaker 1: It's the spark. And so what is the spark. The 2092 01:36:50,800 --> 01:36:54,559 Speaker 1: spark is metabolic dysfunction. How does metabolicas function come about? 2093 01:36:55,240 --> 01:36:59,680 Speaker 1: Linelaic acid and vegetable oils explain to me as though 2094 01:37:00,040 --> 01:37:05,160 Speaker 1: five years old katosis. Okay, the keto diet. So this 2095 01:37:05,240 --> 01:37:07,320 Speaker 1: is a completely different we're going off topic. Oh no, yeah, 2096 01:37:07,320 --> 01:37:10,120 Speaker 1: we're going we're going. Yeah, okay, So I'm being mindful 2097 01:37:10,160 --> 01:37:12,400 Speaker 1: of where we're at, where we gotta get so we're 2098 01:37:12,479 --> 01:37:14,720 Speaker 1: pos if I walk out of here. Oh no, there's 2099 01:37:14,720 --> 01:37:16,120 Speaker 1: a pause, because I thought we were like I thought 2100 01:37:16,160 --> 01:37:18,000 Speaker 1: that that felt like a great summation. I just I 2101 01:37:18,000 --> 01:37:19,880 Speaker 1: just thought you maybe you ask that questions. Okay, No, 2102 01:37:20,160 --> 01:37:22,880 Speaker 1: I never knew any of that stuff because over here 2103 01:37:22,880 --> 01:37:24,439 Speaker 1: shaking his head like, well, you know, like I know, 2104 01:37:24,760 --> 01:37:26,400 Speaker 1: I love it. It's just I'm gonna ask to listen 2105 01:37:26,400 --> 01:37:29,200 Speaker 1: to this podcast again too, because there's just a lot 2106 01:37:29,280 --> 01:37:31,920 Speaker 1: of words that you know, this is the first time 2107 01:37:31,960 --> 01:37:33,680 Speaker 1: I've heard them, right, So let me know if you 2108 01:37:33,760 --> 01:37:37,479 Speaker 1: want to clarify them, and I'll do my best. I 2109 01:37:37,520 --> 01:37:39,599 Speaker 1: think we can move on. I want to go. We're 2110 01:37:39,600 --> 01:37:42,360 Speaker 1: talking about Keto. Yeah, we got a little checklists and 2111 01:37:42,360 --> 01:37:45,720 Speaker 1: stuff we got um Janni weirdly put one down and 2112 01:37:45,760 --> 01:37:48,600 Speaker 1: took it away. Oh no, it's back again. What what 2113 01:37:48,720 --> 01:37:51,679 Speaker 1: did I take away? Oh no, I'm still there. Sorry, Okay, 2114 01:37:52,360 --> 01:37:56,400 Speaker 1: ketosis like I'm five, Okay, like I'm five. Were here 2115 01:37:56,479 --> 01:37:59,360 Speaker 1: a lot these days about the Keto diet. Going into 2116 01:38:00,640 --> 01:38:02,760 Speaker 1: like going into katosa sounds like a bad thing, would 2117 01:38:02,800 --> 01:38:05,720 Speaker 1: have like something bad is happening to you. Traditionally people 2118 01:38:05,760 --> 01:38:07,439 Speaker 1: have thought about keatos is a bad thing, but I 2119 01:38:07,479 --> 01:38:08,920 Speaker 1: don't think it is at all. I think it's it's 2120 01:38:08,960 --> 01:38:15,720 Speaker 1: our bodies very precisely evolved defense mechanism against oarvation. It's 2121 01:38:15,760 --> 01:38:19,519 Speaker 1: basically how your body uses stored fat as fuel. So 2122 01:38:19,680 --> 01:38:21,519 Speaker 1: you have a couple of gas tanks in your body. 2123 01:38:22,000 --> 01:38:24,880 Speaker 1: You're like a car with two gas tanks. One gas 2124 01:38:24,960 --> 01:38:27,200 Speaker 1: tank is called glycogen, it's in your liver and your muscles, 2125 01:38:27,240 --> 01:38:31,280 Speaker 1: and the other gas tank is called fat. And generally speaking, 2126 01:38:31,360 --> 01:38:33,519 Speaker 1: if humans are fat, they can survive a long winter. 2127 01:38:33,600 --> 01:38:35,720 Speaker 1: You've got stored fat. We don't want to be extra fat, 2128 01:38:36,160 --> 01:38:38,280 Speaker 1: but we've all got a couple of pounds, many pounds 2129 01:38:38,320 --> 01:38:40,080 Speaker 1: of fat in our bodies, so that if we don't eat, 2130 01:38:40,439 --> 01:38:42,120 Speaker 1: or we don't have a successful hunt, we can turn 2131 01:38:42,200 --> 01:38:45,360 Speaker 1: that into fuels. For one second, is it true that 2132 01:38:46,000 --> 01:38:52,760 Speaker 1: that that fat people um stay warm better? I think thermodynamically, yeah, 2133 01:38:52,760 --> 01:38:54,080 Speaker 1: it makes sense. I mean just from a I mean 2134 01:38:54,240 --> 01:38:56,519 Speaker 1: whenever I've been out surfing in the ocean and there's 2135 01:38:56,560 --> 01:38:59,840 Speaker 1: fat guys out there, they're often way way way warmer 2136 01:38:59,880 --> 01:39:03,120 Speaker 1: than I am. I mean it's like seal blubber right, 2137 01:39:03,160 --> 01:39:05,400 Speaker 1: Like it's insulation because like people are like, oh, yeah, 2138 01:39:05,400 --> 01:39:08,519 Speaker 1: you're cold because you're skinny, it's possible. Am I am cold? Well? 2139 01:39:08,760 --> 01:39:11,200 Speaker 1: And sometimes whop sometimes who get cold because they their 2140 01:39:11,240 --> 01:39:13,920 Speaker 1: thyroid doesn't work. But you know, all things being equal, 2141 01:39:14,000 --> 01:39:16,559 Speaker 1: you know, if we have equivalent thyroid function and equivalent 2142 01:39:16,600 --> 01:39:19,840 Speaker 1: baseline metabolism, which is how you generate heat, because your 2143 01:39:19,880 --> 01:39:22,920 Speaker 1: body can generate its own heat with brown fat, things 2144 01:39:22,960 --> 01:39:27,479 Speaker 1: like that, mitochondrial uncoupling, the you can you know, if 2145 01:39:27,520 --> 01:39:29,880 Speaker 1: you put on a bunch of layers, you would be warmer. 2146 01:39:29,920 --> 01:39:32,880 Speaker 1: You know, hold on, do you understand what mitochondrial uncoupling is. 2147 01:39:33,479 --> 01:39:35,360 Speaker 1: Nobody understand if I put on a few layers, I'll 2148 01:39:35,360 --> 01:39:37,320 Speaker 1: be warmer. You know that if you put on a 2149 01:39:37,400 --> 01:39:39,880 Speaker 1: neoprene suit, you'd be warmer. So that's what it's doing. 2150 01:39:39,960 --> 01:39:43,400 Speaker 1: It's just like insulation. Now I'll get back into the keyto. 2151 01:39:43,880 --> 01:39:47,280 Speaker 1: So keyto. We have two energies ones in your muscle livers, 2152 01:39:47,360 --> 01:39:48,880 Speaker 1: ones in your fat, ones in your fat. And the 2153 01:39:48,960 --> 01:39:51,840 Speaker 1: way that you access your fat is through keytnes. In 2154 01:39:52,000 --> 01:39:53,920 Speaker 1: order to pull that fuel and burn it by the 2155 01:39:53,960 --> 01:39:56,120 Speaker 1: rest of your body. You turn that fat into keytnes, 2156 01:39:56,800 --> 01:39:59,479 Speaker 1: so you can do something called beta oxidation. And the 2157 01:39:59,520 --> 01:40:01,439 Speaker 1: way that you move that fat around your body is 2158 01:40:01,439 --> 01:40:03,879 Speaker 1: and keytones. It's one way that it happens. So keytones 2159 01:40:03,920 --> 01:40:06,519 Speaker 1: are just an alternative fuel that your body uses when 2160 01:40:06,520 --> 01:40:09,080 Speaker 1: you don't have enough carbohydrates or when you're starving in general. 2161 01:40:09,560 --> 01:40:11,760 Speaker 1: And that's essentially how it happens. You use that fat, 2162 01:40:11,840 --> 01:40:14,519 Speaker 1: you turn it in key tones. Those keytones move around 2163 01:40:14,560 --> 01:40:16,920 Speaker 1: the body and they get turned back into substrate that 2164 01:40:16,960 --> 01:40:18,960 Speaker 1: your body can use to burn. And the goal being 2165 01:40:19,040 --> 01:40:21,760 Speaker 1: to get rid of the fat, not necessarily to get 2166 01:40:21,800 --> 01:40:24,000 Speaker 1: rid of I mean, the goal of ketogenic diets is, yes, 2167 01:40:24,080 --> 01:40:25,479 Speaker 1: to get rid of the fat, but you can get 2168 01:40:25,560 --> 01:40:28,320 Speaker 1: rid of fat without being ketogenic, So what is the goal? 2169 01:40:29,439 --> 01:40:33,559 Speaker 1: Ketogenic diets were originally developed for kids with seizures because 2170 01:40:33,600 --> 01:40:36,680 Speaker 1: they really yeah, because they realized medically, that's why they 2171 01:40:36,720 --> 01:40:39,639 Speaker 1: were developed. Humans have always been in ketosis. If you're 2172 01:40:39,640 --> 01:40:41,800 Speaker 1: out hunting and you don't have it, you don't eat 2173 01:40:41,800 --> 01:40:44,120 Speaker 1: anything for twenty four hours or seventy two hours, you're 2174 01:40:44,120 --> 01:40:46,840 Speaker 1: going into keytosis because your body is gonna use them. 2175 01:40:47,560 --> 01:40:50,599 Speaker 1: Everybody that fasts it goes into keytosis. Yeah, and our 2176 01:40:50,600 --> 01:40:53,400 Speaker 1: ancestors definitely had periods where they didn't have any substantially 2177 01:40:53,479 --> 01:40:56,040 Speaker 1: meaning you're tapping into body fat. You're tapping into body fat, 2178 01:40:56,200 --> 01:40:57,640 Speaker 1: and it's not you can also eat but if you 2179 01:40:57,680 --> 01:41:00,800 Speaker 1: don't get enough calories because your body has It's like 2180 01:41:00,840 --> 01:41:02,679 Speaker 1: you have a car. That car needs a certain amount 2181 01:41:02,680 --> 01:41:05,120 Speaker 1: of energy to run every day. The lights in this studio, 2182 01:41:05,240 --> 01:41:07,160 Speaker 1: you have to put energy into those lights. You have 2183 01:41:07,200 --> 01:41:09,519 Speaker 1: to put energy into this brain, these eyeballs. Everything in 2184 01:41:09,600 --> 01:41:12,400 Speaker 1: your body needs energy. So you if you only eat 2185 01:41:13,240 --> 01:41:15,080 Speaker 1: calories a day, how does your body make up the difference. 2186 01:41:15,120 --> 01:41:16,679 Speaker 1: It makes up the difference by pulling it from fat 2187 01:41:16,840 --> 01:41:19,479 Speaker 1: once it pulls out of glycogen the first gas tank. 2188 01:41:19,520 --> 01:41:22,880 Speaker 1: Your body uses glycogen generally speaking, and then it goes 2189 01:41:22,920 --> 01:41:25,720 Speaker 1: into fat once you exhaust the glycogen. So for most 2190 01:41:25,760 --> 01:41:28,080 Speaker 1: people it takes about twenty four hours to exhaust the 2191 01:41:28,120 --> 01:41:30,800 Speaker 1: glycogen and then your body switches over to burning fat 2192 01:41:31,120 --> 01:41:34,080 Speaker 1: and making it in ketones. Some people have less the glycogen, 2193 01:41:34,400 --> 01:41:36,920 Speaker 1: but if you don't eat carbohydrates, your body doesn't really 2194 01:41:37,000 --> 01:41:40,639 Speaker 1: make as much glycogen. That's a broad stroke statement because 2195 01:41:42,040 --> 01:41:44,320 Speaker 1: it's not entirely true, but in broad strokes, that's what 2196 01:41:44,360 --> 01:41:47,040 Speaker 1: we're talking about, that you have less stored carbohydrate when 2197 01:41:47,080 --> 01:41:49,760 Speaker 1: you are in ketoses, and that's then it puts you 2198 01:41:49,840 --> 01:41:53,160 Speaker 1: into catos is quicker quicker or you stay in ketosis 2199 01:41:53,240 --> 01:41:57,200 Speaker 1: long term because generally speaking, we have thought about ketoses 2200 01:41:57,240 --> 01:41:59,960 Speaker 1: as starvation or not eating. But you can eat food 2201 01:42:00,000 --> 01:42:02,600 Speaker 1: would and still be in ketosis if you don't eat carbohydrates. 2202 01:42:02,640 --> 01:42:05,360 Speaker 1: Depending on the ratio of protein and fat. If you 2203 01:42:05,439 --> 01:42:07,760 Speaker 1: eat too much protein, you won't be in ketosis because 2204 01:42:07,800 --> 01:42:11,479 Speaker 1: your body can turn protein into glucose, right, But if 2205 01:42:11,520 --> 01:42:13,479 Speaker 1: you eat a lot of fat and a small amount 2206 01:42:13,520 --> 01:42:15,200 Speaker 1: of protein or a modernmount of protein, you can get 2207 01:42:15,200 --> 01:42:18,599 Speaker 1: into ketosis. Now what we know is is there a benefit? 2208 01:42:20,240 --> 01:42:23,240 Speaker 1: Is there a benefit to being in ketosis besides the 2209 01:42:23,360 --> 01:42:26,920 Speaker 1: fact besides the fact that you're diminishing fat, Like, what 2210 01:42:27,000 --> 01:42:29,919 Speaker 1: are you really getting from it? There are absolutely benefits 2211 01:42:30,120 --> 01:42:31,960 Speaker 1: to being in ketosis, but that doesn't mean you should 2212 01:42:31,960 --> 01:42:35,120 Speaker 1: be in it all the time. So it's kind of 2213 01:42:35,160 --> 01:42:37,920 Speaker 1: this evolutionary switch. We certainly would have had it occasionally. 2214 01:42:38,479 --> 01:42:42,200 Speaker 1: At a broad level, things change in your genetics. Different 2215 01:42:42,280 --> 01:42:44,320 Speaker 1: genes get turned on and off when you're a ketosis 2216 01:42:44,360 --> 01:42:48,400 Speaker 1: because these ketone molecules there are two major ketone molecules 2217 01:42:48,439 --> 01:42:51,559 Speaker 1: in your body. These ketone molecules affect which genes get 2218 01:42:51,600 --> 01:42:54,000 Speaker 1: turned on and off. And you'll here we will talk 2219 01:42:54,000 --> 01:42:57,200 Speaker 1: about this as quotes cellular house cleaning, and so what 2220 01:42:57,360 --> 01:42:59,280 Speaker 1: your body does is auto fogy. I don't know if 2221 01:42:59,280 --> 01:43:01,200 Speaker 1: you guys have heard that war. Cellular house cleaning, it 2222 01:43:01,240 --> 01:43:05,080 Speaker 1: means eating yourself. So it cleans up old, dead, kind 2223 01:43:05,120 --> 01:43:08,720 Speaker 1: of broken proteins and cells. When you're in that autophagy 2224 01:43:08,800 --> 01:43:12,720 Speaker 1: state and when you are eating less carbohydrates or when 2225 01:43:12,760 --> 01:43:15,080 Speaker 1: you are fasting, is when your body kind of goes 2226 01:43:15,120 --> 01:43:18,960 Speaker 1: toward auto It's a balance between building and tearing down. 2227 01:43:19,600 --> 01:43:23,160 Speaker 1: Talk about doing a cleanse yes and no, is it clean? 2228 01:43:23,240 --> 01:43:25,120 Speaker 1: And what? Well, there's a lot of stuff to clean. 2229 01:43:25,280 --> 01:43:27,640 Speaker 1: I mean there are there's a lot of cellular components 2230 01:43:27,720 --> 01:43:30,160 Speaker 1: for humans to clean, and we need to do this occasionally. 2231 01:43:30,200 --> 01:43:32,760 Speaker 1: And your body has mechanisms the kind of clean house. 2232 01:43:32,840 --> 01:43:35,040 Speaker 1: Just like your house gets dirty whether you have kids 2233 01:43:35,120 --> 01:43:36,400 Speaker 1: or not. If you have kids, you know, your house 2234 01:43:36,439 --> 01:43:39,920 Speaker 1: just gets dirty by itself because of the kids. And 2235 01:43:40,000 --> 01:43:42,320 Speaker 1: even if you don't have kids, your house still gets dirty. 2236 01:43:42,520 --> 01:43:44,639 Speaker 1: This is entropy. Things break, they kind of go wrong. 2237 01:43:45,080 --> 01:43:47,880 Speaker 1: Your body needs time to do this cellular house cleaning, 2238 01:43:48,240 --> 01:43:50,120 Speaker 1: and this happens when you are fasting or when you 2239 01:43:50,240 --> 01:43:51,800 Speaker 1: can enable your body to do it. When you have 2240 01:43:51,880 --> 01:43:54,519 Speaker 1: a caloric deficit. So like I said, if you have 2241 01:43:55,000 --> 01:43:58,800 Speaker 1: if you have a baseline requirement for calories a day, 2242 01:43:58,880 --> 01:44:00,840 Speaker 1: or two thousand calories a day, and you only eat 2243 01:44:00,880 --> 01:44:02,559 Speaker 1: eight hundred, your body is gonna make up the rest 2244 01:44:02,680 --> 01:44:05,960 Speaker 1: by burning glycogen or by burning stored fat. And when 2245 01:44:05,960 --> 01:44:07,240 Speaker 1: you are in that state, when you were in a 2246 01:44:07,320 --> 01:44:10,360 Speaker 1: calorically deficient state, your body does this house cleaning state, 2247 01:44:10,439 --> 01:44:12,680 Speaker 1: this auto fog that's been associated with a lot of 2248 01:44:12,760 --> 01:44:15,240 Speaker 1: good things and humans, a lot of better outcomes and 2249 01:44:15,400 --> 01:44:17,559 Speaker 1: all kinds of things. So it's helpful, but you can 2250 01:44:17,680 --> 01:44:19,479 Speaker 1: over use it. It's something we should cycle in and 2251 01:44:19,560 --> 01:44:21,560 Speaker 1: out of, and it doesn't have to be complex. This 2252 01:44:21,640 --> 01:44:23,280 Speaker 1: is the way it always would have been. You don't 2253 01:44:23,320 --> 01:44:25,559 Speaker 1: get an animal every day you go hunting. Our ancestors 2254 01:44:25,600 --> 01:44:27,479 Speaker 1: didn't either. There were times they were fasting, there were 2255 01:44:27,520 --> 01:44:30,080 Speaker 1: times they had caloric deficits, and they were times they 2256 01:44:30,240 --> 01:44:33,760 Speaker 1: feasted and they had caloric excess. It's built into our physiology. 2257 01:44:34,040 --> 01:44:37,000 Speaker 1: The problem is that we eat every day. A lot 2258 01:44:37,040 --> 01:44:38,840 Speaker 1: of people eat every day and they have caloric excess 2259 01:44:38,880 --> 01:44:41,639 Speaker 1: every single day. They never do time restricted feeding. Remember 2260 01:44:41,640 --> 01:44:43,559 Speaker 1: earlier when I was talking about I was talking about 2261 01:44:43,600 --> 01:44:46,040 Speaker 1: my diet, and I eat two meals a day. I 2262 01:44:46,120 --> 01:44:48,920 Speaker 1: have a time restricted feeding window. That's just something I 2263 01:44:49,120 --> 01:44:51,080 Speaker 1: leverage most days where I eat breakfast in a late 2264 01:44:51,160 --> 01:44:53,559 Speaker 1: lunch and then all fast about sixteen hours every day, 2265 01:44:53,560 --> 01:44:55,840 Speaker 1: and I wake up in ketosis even though I'm eating 2266 01:44:55,880 --> 01:44:59,960 Speaker 1: honey right, So even though I'm getting hy grams of carbohydrates, 2267 01:45:00,320 --> 01:45:02,880 Speaker 1: I'm using my liver glycogen. My body is using stored 2268 01:45:02,880 --> 01:45:06,200 Speaker 1: fat to make keytones. But keytones are beneficial for humans 2269 01:45:06,240 --> 01:45:08,879 Speaker 1: and that they change things, and it's valuable, but it shouldn't. 2270 01:45:08,880 --> 01:45:10,840 Speaker 1: I don't think you should happen all the time, and 2271 01:45:11,040 --> 01:45:12,800 Speaker 1: so it should be sicklic and so the keyto genic 2272 01:45:12,840 --> 01:45:15,320 Speaker 1: diet is leveraging a lot of these ideas. But you 2273 01:45:15,360 --> 01:45:17,840 Speaker 1: don't have to be keyto to get into keytosis. You 2274 01:45:17,880 --> 01:45:20,640 Speaker 1: can eat carbohydrates and just fast, or you can eat 2275 01:45:20,680 --> 01:45:24,920 Speaker 1: carbohydrates and just do a calorie restricted diet on some days. 2276 01:45:25,280 --> 01:45:28,120 Speaker 1: Does that make sense? So, but it is valuable I 2277 01:45:28,160 --> 01:45:31,799 Speaker 1: think for humans to go into that state of caloric 2278 01:45:31,920 --> 01:45:34,600 Speaker 1: deficiency one way or another. The key to diet just 2279 01:45:34,680 --> 01:45:36,559 Speaker 1: makes it long term for people because they don't eat carps. 2280 01:45:36,600 --> 01:45:39,160 Speaker 1: I think there are downsides to that as well, um 2281 01:45:39,800 --> 01:45:42,519 Speaker 1: and we can talk about those if you want, uh, 2282 01:45:43,160 --> 01:45:46,799 Speaker 1: do you believe? Do you ever use the term fad diet? 2283 01:45:48,000 --> 01:45:50,720 Speaker 1: I mean, not for a carnivore diet. I've heard the term, 2284 01:45:50,960 --> 01:45:54,000 Speaker 1: but I had a friend one time that was on 2285 01:45:54,080 --> 01:45:56,280 Speaker 1: a diet where you were on a diet six days 2286 01:45:56,320 --> 01:45:58,800 Speaker 1: a week and then you had a cheap day, right. 2287 01:45:59,680 --> 01:46:05,240 Speaker 1: And I'm member when every dude that lived in certain 2288 01:46:05,320 --> 01:46:07,599 Speaker 1: towns where I hang out, like for instance, remember when 2289 01:46:07,680 --> 01:46:10,519 Speaker 1: like every dude in Miles City was on the Atkins diet. 2290 01:46:11,760 --> 01:46:16,000 Speaker 1: But they're not now, Okay, you're about like the Keto diet. 2291 01:46:16,200 --> 01:46:20,240 Speaker 1: And I'm assuming that soon people will not beyond the 2292 01:46:20,320 --> 01:46:22,840 Speaker 1: keyto diet just because the ebb and flow of diets. 2293 01:46:23,439 --> 01:46:27,400 Speaker 1: Like where does the carnivore diet fit into this? Like 2294 01:46:27,600 --> 01:46:29,760 Speaker 1: will it have it? Does it have a life expectancy? 2295 01:46:31,200 --> 01:46:34,479 Speaker 1: I hope not? And I hope that thinking outside of 2296 01:46:34,479 --> 01:46:36,200 Speaker 1: the box a little bit and not making it dogmatic 2297 01:46:37,439 --> 01:46:41,080 Speaker 1: will will give it that that that absence or will 2298 01:46:41,200 --> 01:46:44,519 Speaker 1: exempt it from a life expectancy. It's more of a lifestyle, 2299 01:46:44,760 --> 01:46:46,880 Speaker 1: and I hope I've done a decent job of helping 2300 01:46:46,880 --> 01:46:50,200 Speaker 1: people understand that. It's it's just the same asking the question, 2301 01:46:50,240 --> 01:46:51,960 Speaker 1: what do our ancestors do, and how do we to 2302 01:46:52,040 --> 01:46:55,479 Speaker 1: thrive to lifestyle. It's not a this diet or that diet. 2303 01:46:55,520 --> 01:46:57,880 Speaker 1: It's like, what are the foods that nourish us? What 2304 01:46:57,960 --> 01:46:59,640 Speaker 1: are the least toxic plants? How do we feel as 2305 01:46:59,640 --> 01:47:01,680 Speaker 1: good as we and as humans? That's my idea. What 2306 01:47:01,760 --> 01:47:03,439 Speaker 1: the carnin word? I You gotta call it something, right. 2307 01:47:03,840 --> 01:47:05,160 Speaker 1: I wish, you know, you could call it the carnin 2308 01:47:05,200 --> 01:47:07,519 Speaker 1: ward lifestyle, but people wouldn't understand what it was. But 2309 01:47:07,600 --> 01:47:09,280 Speaker 1: that's the way I think about it. It's just asking 2310 01:47:09,400 --> 01:47:13,000 Speaker 1: questions as a physician, as an outdoorsman, as somebody who 2311 01:47:13,040 --> 01:47:14,920 Speaker 1: likes to go run in the mountains and hunt. How 2312 01:47:14,960 --> 01:47:16,240 Speaker 1: do I get to do these things as well as 2313 01:47:16,280 --> 01:47:19,000 Speaker 1: I can? How do I help my patients and my clients? 2314 01:47:19,040 --> 01:47:20,960 Speaker 1: And what our ancestors do? Those are the questions that 2315 01:47:21,000 --> 01:47:23,240 Speaker 1: are most interesting to me. So I don't want it 2316 01:47:23,280 --> 01:47:24,920 Speaker 1: to have that and I certainly didn't make it up. 2317 01:47:24,920 --> 01:47:26,240 Speaker 1: I mean, I think our answers have been eating this 2318 01:47:26,280 --> 01:47:27,880 Speaker 1: way for a long time, and there's plenty of tribes. 2319 01:47:28,320 --> 01:47:30,920 Speaker 1: There's an Amazonian tribe called the Kayoe Menno who eat 2320 01:47:30,960 --> 01:47:32,759 Speaker 1: a lot of this way. They eat animal meeting organs 2321 01:47:32,800 --> 01:47:36,360 Speaker 1: and fruit when it's seasonal. Indigenous people don't eat vegetables 2322 01:47:36,400 --> 01:47:40,679 Speaker 1: like we think they do. They kind of get that stems, roots, seeds, 2323 01:47:40,720 --> 01:47:45,400 Speaker 1: and leaves, especially the stems, leaves and seeds, we're not 2324 01:47:45,520 --> 01:47:47,640 Speaker 1: really good human food. They're not very calorically dense. A 2325 01:47:47,680 --> 01:47:49,519 Speaker 1: lot of the time, I got a lot of toxins. 2326 01:47:49,680 --> 01:47:51,840 Speaker 1: So that's the idea there. So it's not intended to 2327 01:47:51,880 --> 01:47:54,040 Speaker 1: be a fad diet. And I've never been a super 2328 01:47:54,080 --> 01:47:57,519 Speaker 1: fan of the cheat day idea either, because it doesn't 2329 01:47:57,560 --> 01:48:01,080 Speaker 1: work human I saw the cheat day get abused. Yeah. Yeah, 2330 01:48:01,160 --> 01:48:03,559 Speaker 1: because look, I mean a lot of the a lot 2331 01:48:03,600 --> 01:48:07,479 Speaker 1: of people who are finding benefits with the carnivore cheesecake factory, right, 2332 01:48:08,200 --> 01:48:11,160 Speaker 1: they're finding benefits from an autoimmune perspective. And that's what's 2333 01:48:11,160 --> 01:48:12,400 Speaker 1: so interesting to me about it. A lot of the 2334 01:48:12,439 --> 01:48:15,879 Speaker 1: diseases we see in Western society or today are autoimmune lupus, 2335 01:48:15,960 --> 01:48:19,160 Speaker 1: show grins um, you know, autoimmune thyroid itis, all this 2336 01:48:19,280 --> 01:48:21,080 Speaker 1: kind of stuff. I mean, X and my like I had, 2337 01:48:21,640 --> 01:48:24,720 Speaker 1: these are autoimmune diseases. Our immune system is overactivated. There's 2338 01:48:24,760 --> 01:48:26,680 Speaker 1: something going on here, and the immune system has a 2339 01:48:26,720 --> 01:48:28,920 Speaker 1: longer memory than seven days. We know this with things 2340 01:48:28,960 --> 01:48:31,519 Speaker 1: like celiact disease or gluten intolerance. So if you really 2341 01:48:31,520 --> 01:48:33,519 Speaker 1: want your immune system to calm down, you gotta keep 2342 01:48:33,640 --> 01:48:38,479 Speaker 1: you gotta prevent, you know, exposing it to foods that 2343 01:48:38,479 --> 01:48:40,280 Speaker 1: are going to trigger it every seven days. A lot 2344 01:48:40,280 --> 01:48:42,160 Speaker 1: of people think about diets and food just from a 2345 01:48:42,240 --> 01:48:44,200 Speaker 1: weight loss perspective, and that's why I think a carnival 2346 01:48:44,280 --> 01:48:46,439 Speaker 1: diet is different. We're thinking about things in terms of 2347 01:48:46,520 --> 01:48:47,960 Speaker 1: human health and how we can help people live in 2348 01:48:47,960 --> 01:48:51,519 Speaker 1: the most quality lives. Weight loss is secondary, but Atkins 2349 01:48:51,600 --> 01:48:53,840 Speaker 1: was all about weight loss. All these diets are about 2350 01:48:53,840 --> 01:48:55,800 Speaker 1: weight loss, weight loss and how you look as a human. 2351 01:48:56,200 --> 01:48:58,280 Speaker 1: I'm more interested in how Yeah, that's a good point, man, 2352 01:48:58,360 --> 01:49:00,400 Speaker 1: I forgot about that. It was like it wasn't like 2353 01:49:00,520 --> 01:49:04,040 Speaker 1: optimal performance. It was aesthetic, right, aesthetic. I'm more interested 2354 01:49:04,080 --> 01:49:07,720 Speaker 1: in how you feel, how you how you how your 2355 01:49:07,760 --> 01:49:10,720 Speaker 1: mood is, how well you think, how poised you are, 2356 01:49:11,080 --> 01:49:13,320 Speaker 1: how emotionally calm you are with your kids and your 2357 01:49:13,360 --> 01:49:15,439 Speaker 1: wife or your husband or your partner. You know, like 2358 01:49:15,640 --> 01:49:17,760 Speaker 1: quality of life. And I think that if you do 2359 01:49:17,920 --> 01:49:20,760 Speaker 1: that you'll look good too. That's like a bonus. But 2360 01:49:20,840 --> 01:49:24,160 Speaker 1: I'm not going to sacrifice nutrition and optimal human health 2361 01:49:24,240 --> 01:49:27,240 Speaker 1: at the expense of somebody looking good. M hmm. Yeah. 2362 01:49:27,280 --> 01:49:29,759 Speaker 1: And weight Watch is probably the most the most famous 2363 01:49:29,840 --> 01:49:32,560 Speaker 1: diet ever and it's right in its name, right, and 2364 01:49:32,640 --> 01:49:35,679 Speaker 1: that's exactly what it's focused on. It's focused on aesthetics 2365 01:49:35,760 --> 01:49:37,880 Speaker 1: and weight loss. That cheat Day diet was that way 2366 01:49:37,960 --> 01:49:42,080 Speaker 1: too write with no attention to human health. I don't 2367 01:49:42,080 --> 01:49:45,040 Speaker 1: know what it was called the cheat day. I ain't 2368 01:49:45,080 --> 01:49:47,000 Speaker 1: a lot of them have that. Tim Ferris had a 2369 01:49:47,080 --> 01:49:50,880 Speaker 1: cheat day, I know when he talked about his Way eight. 2370 01:49:51,360 --> 01:49:55,920 Speaker 1: But Paleo sounds pretty similar to this, right, I mean 2371 01:49:55,960 --> 01:49:58,680 Speaker 1: they're always talking about eating with the ancestors eight, right, 2372 01:49:58,840 --> 01:50:00,839 Speaker 1: is there a big difference? There is a big difference. 2373 01:50:00,920 --> 01:50:04,120 Speaker 1: It asks the same questions. It just answers the question differently. 2374 01:50:04,880 --> 01:50:07,200 Speaker 1: It's saying, what are our ancestors eat? And actually, you 2375 01:50:07,240 --> 01:50:08,800 Speaker 1: know what's funny is I had I'm good friends with 2376 01:50:08,920 --> 01:50:11,320 Speaker 1: Rob Wolf who wrote the Paleo Solution, and Lauren Cordaine 2377 01:50:11,520 --> 01:50:13,120 Speaker 1: who wrote the Paleo Diet. I've had them both of 2378 01:50:13,160 --> 01:50:15,519 Speaker 1: my podcast, and I think as we start to think 2379 01:50:15,560 --> 01:50:18,200 Speaker 1: about this more, I love that question, how to our 2380 01:50:18,240 --> 01:50:20,479 Speaker 1: ancestors eat? I just have a different answer and My 2381 01:50:20,600 --> 01:50:23,800 Speaker 1: answer says, leafy greens and seeds hate you and don't 2382 01:50:23,840 --> 01:50:26,040 Speaker 1: want to get eaten. Kale doesn't love you back, you know, 2383 01:50:26,280 --> 01:50:28,160 Speaker 1: and a paleo diet. They're like, eat your leafy greens, 2384 01:50:28,160 --> 01:50:30,560 Speaker 1: and I'm like, no, leavy greens, spinach and kale, hey you, 2385 01:50:30,720 --> 01:50:32,599 Speaker 1: they don't want to get eaten. Don't eat those foods. 2386 01:50:33,280 --> 01:50:35,320 Speaker 1: So as much as you could call it the cardinal diet, 2387 01:50:35,360 --> 01:50:37,680 Speaker 1: you could also call me the anti broccoli crusader. Like 2388 01:50:38,120 --> 01:50:39,880 Speaker 1: that's what's different about it, you know. It's like I 2389 01:50:39,920 --> 01:50:42,360 Speaker 1: just wanted people to understand we draw the ideas a 2390 01:50:42,400 --> 01:50:45,120 Speaker 1: little different. We we ask the same questions. They're valuable questions, 2391 01:50:45,280 --> 01:50:47,600 Speaker 1: I think, but we just answer them differently based on 2392 01:50:47,640 --> 01:50:51,000 Speaker 1: anthropology and ethnography and biomedical science, and say, why are 2393 01:50:51,040 --> 01:50:52,960 Speaker 1: we eating kale in the first place? Let make any sense. 2394 01:50:53,040 --> 01:50:55,040 Speaker 1: It is interesting, man, when you go into a garden 2395 01:50:55,120 --> 01:50:58,000 Speaker 1: and you're like, uh, you know you grow tomatoes. You're like, yeah, 2396 01:50:58,000 --> 01:50:59,920 Speaker 1: I asked the member of the night shade family. Dude, 2397 01:51:00,080 --> 01:51:01,640 Speaker 1: that family is full of ship that will kill you. 2398 01:51:01,640 --> 01:51:03,760 Speaker 1: You know, absolutely if you eat this one. It's a 2399 01:51:03,840 --> 01:51:06,880 Speaker 1: certain way. But you know, you look at the animal kingdom. 2400 01:51:07,000 --> 01:51:09,000 Speaker 1: I mean you can point to that puffer fish liver, 2401 01:51:09,640 --> 01:51:11,840 Speaker 1: but generally, like my kids like, is that bird edible? 2402 01:51:11,880 --> 01:51:15,080 Speaker 1: I'm like, listen, man, all birds are edible. They're just edible. 2403 01:51:15,800 --> 01:51:17,400 Speaker 1: They're like they might not. I'm not telling you they're 2404 01:51:17,400 --> 01:51:19,360 Speaker 1: going to taste good, but they're edible, and they'll be like, 2405 01:51:19,439 --> 01:51:22,240 Speaker 1: is that animal edible? Yes, yes, that's exactly what we 2406 01:51:22,280 --> 01:51:26,520 Speaker 1: talked about. You know, there are a few rare exceptions 2407 01:51:26,800 --> 01:51:30,479 Speaker 1: that frog in the Amazon, the ones, the ones we 2408 01:51:30,560 --> 01:51:35,839 Speaker 1: know about, and the power fish. But of animals readible, 2409 01:51:36,680 --> 01:51:38,920 Speaker 1: you can't say that about plants, right, You just can't. 2410 01:51:38,960 --> 01:51:42,400 Speaker 1: And all the unique new like any vertebrate the lake, 2411 01:51:42,560 --> 01:51:45,720 Speaker 1: like can I eat that? You can eat that? You 2412 01:51:45,880 --> 01:51:48,000 Speaker 1: like it? You can eat it. And yet if you 2413 01:51:48,040 --> 01:51:49,439 Speaker 1: and I walk into the woods and we just start 2414 01:51:49,520 --> 01:51:52,080 Speaker 1: eating swaths of plants, we're gonna be We're gonna be 2415 01:51:52,120 --> 01:51:54,439 Speaker 1: pooping our pants before we get very fair. We get 2416 01:51:54,520 --> 01:51:57,680 Speaker 1: excited about the ones that don't mess you up. They're like, 2417 01:51:58,160 --> 01:52:00,640 Speaker 1: I mean I could eat this the plant, it's like 2418 01:52:00,720 --> 01:52:04,160 Speaker 1: a very small proportion that will. And the ones you 2419 01:52:04,280 --> 01:52:06,160 Speaker 1: point out, the ones you be like, no, ship, you 2420 01:52:06,200 --> 01:52:08,200 Speaker 1: can eat it. Yeah, it's not gonna be good for 2421 01:52:08,280 --> 01:52:11,400 Speaker 1: you which mushroom is not going to kill you? Yeah? Yeah, 2422 01:52:11,439 --> 01:52:13,400 Speaker 1: you mean this one won't kill me? Sweet man. You see, 2423 01:52:13,760 --> 01:52:16,400 Speaker 1: there's such a good point, right Anything that's like still 2424 01:52:17,120 --> 01:52:19,200 Speaker 1: and growing on the ground, you have to be worried 2425 01:52:19,200 --> 01:52:21,600 Speaker 1: about it. You have to have almost a doctorate to 2426 01:52:21,680 --> 01:52:22,960 Speaker 1: know if you can eat it or not yet. But 2427 01:52:23,040 --> 01:52:27,280 Speaker 1: if it runs or flies, good to go? Yeah, like berries, kids, like, 2428 01:52:27,320 --> 01:52:29,240 Speaker 1: can we eat this one? Man? I don't know they're not. 2429 01:52:29,640 --> 01:52:31,120 Speaker 1: I don't know if they're not, but that one I 2430 01:52:31,240 --> 01:52:35,080 Speaker 1: know is actually safe. That stands out as safe. And 2431 01:52:35,200 --> 01:52:37,439 Speaker 1: that's that's that? Isn't that so interesting? It just makes 2432 01:52:37,439 --> 01:52:39,479 Speaker 1: so much sense right now. It's a funny point, man, 2433 01:52:39,520 --> 01:52:41,400 Speaker 1: the more you think about it. With the plant toxins, 2434 01:52:42,040 --> 01:52:46,200 Speaker 1: can you touch on safety? I read that word or 2435 01:52:46,320 --> 01:52:49,880 Speaker 1: sat satiety. I think there's two ways to pronounce it. 2436 01:52:49,960 --> 01:52:53,040 Speaker 1: Making that word was in the book a lot talking 2437 01:52:53,040 --> 01:52:56,720 Speaker 1: about how our current diet basically you just never get full. 2438 01:52:57,160 --> 01:52:59,920 Speaker 1: Oh yeah, yeah, this is super interesting in it all 2439 01:53:01,000 --> 01:53:09,280 Speaker 1: I say satiety like like comes from insatiable. So there 2440 01:53:09,320 --> 01:53:11,320 Speaker 1: are a couple of reasons that our current diet is 2441 01:53:11,360 --> 01:53:14,520 Speaker 1: not satiating. But I've had a lot of friends anecdotally 2442 01:53:14,600 --> 01:53:16,400 Speaker 1: tell me they try plant based diets and they're like, 2443 01:53:16,400 --> 01:53:19,040 Speaker 1: I'm always freaking hungry, and then they try an animal 2444 01:53:19,080 --> 01:53:20,640 Speaker 1: base and they're like, Wow, I felt full for the 2445 01:53:20,720 --> 01:53:22,880 Speaker 1: first time in so long, And I'm thinking, yeah, right. 2446 01:53:23,240 --> 01:53:26,240 Speaker 1: So society is complex, it's complex physiology and the human brain. 2447 01:53:26,400 --> 01:53:28,280 Speaker 1: But you know, just going back to what we were 2448 01:53:28,280 --> 01:53:31,200 Speaker 1: talking about with linteleic acid, there's really good evidence that 2449 01:53:31,240 --> 01:53:34,640 Speaker 1: linneleic acid makes us hungry. There's molecular mechanisms in the 2450 01:53:34,680 --> 01:53:38,120 Speaker 1: brain by which linoleic acid triggers hunger and saturated fat, 2451 01:53:38,160 --> 01:53:41,519 Speaker 1: which is found in animals, triggers satiety. And we don't 2452 01:53:41,520 --> 01:53:43,720 Speaker 1: have to get into why that works, but in the hypothalamus, 2453 01:53:43,760 --> 01:53:45,479 Speaker 1: which is part of the satiety center in the brain, 2454 01:53:46,040 --> 01:53:49,519 Speaker 1: these two fatty acids affect our selves and our mitochondria differently. 2455 01:53:49,840 --> 01:53:51,720 Speaker 1: So that's the first thing is that vegetable oils make 2456 01:53:51,800 --> 01:53:55,479 Speaker 1: you hungry. They're sabotaging your sotiety. We talked a little 2457 01:53:55,479 --> 01:53:58,439 Speaker 1: bit about sugar. Processed foods absolutely make you hungry, and 2458 01:53:58,520 --> 01:54:02,200 Speaker 1: I think there's nutrient density the sensing in the human body. 2459 01:54:02,560 --> 01:54:04,720 Speaker 1: If you are not getting the nutrients found in meat 2460 01:54:04,760 --> 01:54:07,000 Speaker 1: and liver, all those magical nutrients quote unquote that I 2461 01:54:07,000 --> 01:54:10,800 Speaker 1: talked about earlier Colleene Carnatiene Carnescene. You are not going 2462 01:54:10,880 --> 01:54:13,400 Speaker 1: to be satiated because your body is like I am 2463 01:54:13,479 --> 01:54:16,519 Speaker 1: deficient in something and it knows it. You can't tell. 2464 01:54:16,600 --> 01:54:18,479 Speaker 1: You don't have like your computer chip, like a diagnostic 2465 01:54:18,520 --> 01:54:20,320 Speaker 1: in your car, Like I'm deficient to ride with lave 2466 01:54:20,360 --> 01:54:23,360 Speaker 1: and I should go eat some liver. But you get 2467 01:54:23,439 --> 01:54:25,759 Speaker 1: cravings and they go out of whack when you're pregnant, 2468 01:54:25,760 --> 01:54:28,000 Speaker 1: and it big winds up being the thing everybody talks 2469 01:54:28,000 --> 01:54:30,479 Speaker 1: about exactly, and you only can crave things you've had. 2470 01:54:30,600 --> 01:54:32,240 Speaker 1: So people say, well, why don't I crave liver? What 2471 01:54:32,240 --> 01:54:34,560 Speaker 1: when was the last time you eat liver? Right? Like 2472 01:54:35,360 --> 01:54:38,480 Speaker 1: you all you know is that you crave something. And 2473 01:54:38,880 --> 01:54:42,160 Speaker 1: that's so society is huge, And I think that I've 2474 01:54:42,240 --> 01:54:45,360 Speaker 1: never liked weight loss strategies that put people in a 2475 01:54:45,520 --> 01:54:48,680 Speaker 1: mental prison. You're never going to be able to calorie 2476 01:54:48,720 --> 01:54:52,200 Speaker 1: restrict for your whole life. Calorie restricting and starving yourself 2477 01:54:52,640 --> 01:54:55,120 Speaker 1: is a fantastic way to lose weight. It's also a 2478 01:54:55,240 --> 01:54:58,240 Speaker 1: fantastic way to have your life suck really bad, and like, 2479 01:54:58,360 --> 01:55:00,280 Speaker 1: why are you living life if it's so miser bole 2480 01:55:00,520 --> 01:55:02,720 Speaker 1: and your body will find a way. You will never 2481 01:55:02,840 --> 01:55:05,240 Speaker 1: stay in calorie prison your whole life unless you are 2482 01:55:05,280 --> 01:55:07,280 Speaker 1: super motivated, and what's the point of living in that way? 2483 01:55:07,600 --> 01:55:10,480 Speaker 1: So that's why dietary constructions like this, they're fascinating to 2484 01:55:10,520 --> 01:55:14,840 Speaker 1: me that actually emphasize nutrient density and ancestrally consistent diet 2485 01:55:15,640 --> 01:55:18,640 Speaker 1: and they create sutiety without making us feel like we 2486 01:55:18,760 --> 01:55:21,000 Speaker 1: are depriving ourselves. And you don't even have to have 2487 01:55:21,800 --> 01:55:25,240 Speaker 1: caloric deficit. So it's a huge topic and I think 2488 01:55:25,280 --> 01:55:27,640 Speaker 1: that you can starve yourself, but it's not going to 2489 01:55:27,720 --> 01:55:30,320 Speaker 1: work long term. I so appreciate that, just because I 2490 01:55:30,400 --> 01:55:34,920 Speaker 1: think the mindset of focusing on the outward appearance of 2491 01:55:35,480 --> 01:55:40,200 Speaker 1: someone's body and being calorie restricted, it's just led to 2492 01:55:40,480 --> 01:55:44,640 Speaker 1: so much, um, I don't know, so much pain, to 2493 01:55:44,760 --> 01:55:47,240 Speaker 1: say the least, for both men and women. But traditionally 2494 01:55:47,320 --> 01:55:48,800 Speaker 1: we think about women. You know, I have a younger 2495 01:55:48,880 --> 01:55:51,160 Speaker 1: sister and when she was growing up, you know, I 2496 01:55:51,680 --> 01:55:53,440 Speaker 1: I see it because I have a younger sister, Like, 2497 01:55:53,480 --> 01:55:56,560 Speaker 1: there's so much body image. I know men experience it too, 2498 01:55:56,640 --> 01:56:01,600 Speaker 1: but for women it's especially destructive. You know, it's really hard, 2499 01:56:01,680 --> 01:56:03,720 Speaker 1: and it's the same kind of idea. And in a 2500 01:56:03,720 --> 01:56:04,960 Speaker 1: while we're on the topic. You know, a lot of 2501 01:56:05,040 --> 01:56:08,040 Speaker 1: women don't think about red meat and organs as food 2502 01:56:08,120 --> 01:56:10,520 Speaker 1: because they're afraid of making them fat. But I really 2503 01:56:10,600 --> 01:56:13,360 Speaker 1: believe strongly that this is a game changer for women 2504 01:56:13,400 --> 01:56:15,080 Speaker 1: as well, because it's like, this is the food your 2505 01:56:15,120 --> 01:56:16,960 Speaker 1: body is craving. And I talk about this in a 2506 01:56:17,000 --> 01:56:19,560 Speaker 1: study in the book. We can look at things like 2507 01:56:19,640 --> 01:56:22,120 Speaker 1: evoked response potentials in the brain. This is one of 2508 01:56:22,160 --> 01:56:24,400 Speaker 1: the coolest parts of the book. And you can show 2509 01:56:25,880 --> 01:56:29,080 Speaker 1: vegetarians and vegans and omnivores pictures of meat, and you 2510 01:56:29,160 --> 01:56:31,480 Speaker 1: can look at with an e G and electro and cephalogram, 2511 01:56:31,600 --> 01:56:33,320 Speaker 1: we can look at we can look at the way 2512 01:56:33,360 --> 01:56:35,640 Speaker 1: different parts of the brain fire, and you can look 2513 01:56:35,640 --> 01:56:37,800 Speaker 1: at deeper regions of the brain like the brain stem 2514 01:56:38,160 --> 01:56:41,560 Speaker 1: kind of these lizard brain parts or you know, dyean 2515 01:56:41,600 --> 01:56:44,480 Speaker 1: cephalon parts like more ancestral or more i should say, 2516 01:56:44,520 --> 01:56:46,920 Speaker 1: more ancient parts of the brain. And you can look 2517 01:56:46,960 --> 01:56:49,120 Speaker 1: at the neo cortex, like the more recent parts of 2518 01:56:49,160 --> 01:56:51,280 Speaker 1: the brain. And when you show a vegetarian or a 2519 01:56:51,360 --> 01:56:53,240 Speaker 1: vegan a picture of meat, they get this sort of 2520 01:56:54,240 --> 01:56:59,120 Speaker 1: conscious aversion. But the subconscious part of their brain still goes, 2521 01:57:00,000 --> 01:57:04,880 Speaker 1: he's giving me. That's so you're saying, like evolutionary, evolutionarily, 2522 01:57:05,080 --> 01:57:10,040 Speaker 1: over time we have we are encoded to recognize something 2523 01:57:10,240 --> 01:57:14,760 Speaker 1: as nutrient giving and good for our body. But other 2524 01:57:14,880 --> 01:57:17,440 Speaker 1: parts of the brain which are like we've programmed during 2525 01:57:17,520 --> 01:57:20,720 Speaker 1: this lifetime based upon messaging and learning to be like, no, 2526 01:57:21,080 --> 01:57:24,800 Speaker 1: that's bad. But so we're just not in That's why 2527 01:57:24,880 --> 01:57:29,080 Speaker 1: they make plant food look like sausage and bacon. Yeah, 2528 01:57:29,320 --> 01:57:34,200 Speaker 1: you don't, you know, makes you think of is that? Yeah? Yeah? 2529 01:57:34,480 --> 01:57:37,120 Speaker 1: Why you take ship and try to get it to 2530 01:57:37,160 --> 01:57:39,520 Speaker 1: look like that? Like why why is it not its 2531 01:57:39,560 --> 01:57:44,080 Speaker 1: own thing? Like why why did veggie burgers or what 2532 01:57:44,160 --> 01:57:46,680 Speaker 1: they call him soybers? Why did they steal the burgers groove? 2533 01:57:47,960 --> 01:57:49,720 Speaker 1: But there's a there's an our part of this too. 2534 01:57:49,760 --> 01:57:52,960 Speaker 1: It was like they find that, um, I don't know 2535 01:57:52,960 --> 01:57:55,560 Speaker 1: how they measure, but there's a similar thing. Humans like 2536 01:57:55,840 --> 01:58:02,800 Speaker 1: overlooks and humans like shorelines, and it'd be like the rich, 2537 01:58:03,080 --> 01:58:04,920 Speaker 1: you know, like when you look at human just like 2538 01:58:05,200 --> 01:58:09,080 Speaker 1: the African diaspora. And when when humans started colonizing the world, 2539 01:58:09,160 --> 01:58:12,440 Speaker 1: it was you know, coastal routes, coastal routes and river routes, 2540 01:58:12,560 --> 01:58:15,000 Speaker 1: and so it seems that there's this sort of association 2541 01:58:15,120 --> 01:58:19,600 Speaker 1: with shorelines, land meats, water like the beach right triggers 2542 01:58:19,640 --> 01:58:21,760 Speaker 1: a thing where you're like, that's a good spot. And 2543 01:58:21,840 --> 01:58:25,360 Speaker 1: then also this idea that humans like and overlook. They 2544 01:58:25,480 --> 01:58:28,560 Speaker 1: like to be like, ha, I can see everything around me, 2545 01:58:28,800 --> 01:58:32,000 Speaker 1: and like it pleases some deep down thing in you 2546 01:58:32,480 --> 01:58:36,360 Speaker 1: to just see what's up. Not gonna be surprised. I 2547 01:58:36,440 --> 01:58:38,440 Speaker 1: know what's going on down there. People going in the 2548 01:58:38,480 --> 01:58:41,800 Speaker 1: restaurant and wanting the corner seat, and too, you know, 2549 01:58:41,840 --> 01:58:44,160 Speaker 1: their back is to both walls, so they can see 2550 01:58:44,240 --> 01:58:47,360 Speaker 1: periphectly everything around them. They don't have that feeling's gonna 2551 01:58:47,400 --> 01:58:51,160 Speaker 1: head behind me. You know. Yeah's some of my wife's say, 2552 01:58:51,160 --> 01:58:54,720 Speaker 1: because someone in Baja told me that. And you know 2553 01:58:54,840 --> 01:58:56,800 Speaker 1: it's like the old thing that you when you open 2554 01:58:56,880 --> 01:59:00,240 Speaker 1: a door and little woman going first, and someone house 2555 01:59:00,280 --> 01:59:02,960 Speaker 1: tell me that, Uh, you know, he's saying that's cultural. 2556 01:59:03,040 --> 01:59:06,280 Speaker 1: I mean, that's like it's cultural, but it's regional. And 2557 01:59:06,360 --> 01:59:09,680 Speaker 1: he was saying here it would be that you'd go 2558 01:59:09,800 --> 01:59:13,280 Speaker 1: in first to make sure everything's cool. You don't open 2559 01:59:13,320 --> 01:59:14,920 Speaker 1: the door and be like you going first. I'm not 2560 01:59:15,000 --> 01:59:17,240 Speaker 1: going in there. It's like you go in and it 2561 01:59:17,320 --> 01:59:20,520 Speaker 1: looks good. Things are cool. Everybody, your family comes in there, 2562 01:59:20,560 --> 01:59:23,520 Speaker 1: there's stand there and send them all in and then 2563 01:59:23,640 --> 01:59:27,560 Speaker 1: be like, good luck, I'll be through last the first. 2564 01:59:28,240 --> 01:59:30,840 Speaker 1: Do you guys know what percentage of vegetarians and vegans 2565 01:59:30,880 --> 01:59:35,920 Speaker 1: eat meat when they get drunk. It's astronomical. I think 2566 01:59:35,960 --> 01:59:41,080 Speaker 1: it's thirty to forty plus percent. I mean, like cortex, 2567 01:59:42,680 --> 01:59:44,720 Speaker 1: it starts getting you down to your reptilian brain. And 2568 01:59:44,880 --> 01:59:48,160 Speaker 1: that's not an uncontrovertible argument. That means for humans, you know, 2569 01:59:48,600 --> 01:59:50,840 Speaker 1: and you know, maybe it's even more, but it's a 2570 01:59:50,920 --> 01:59:53,320 Speaker 1: massive amount. You asked me earlier about truth. Well there's 2571 01:59:53,360 --> 01:59:57,880 Speaker 1: your truth, man. When you say that both like corner 2572 01:59:57,960 --> 02:00:01,520 Speaker 1: board dieters and vegans, uh, when they get drunk, they 2573 02:00:01,520 --> 02:00:07,240 Speaker 1: all eat pizza and they want their dough. It's possible. 2574 02:00:07,360 --> 02:00:09,920 Speaker 1: It's possible, And you know, I think you could you 2575 02:00:10,000 --> 02:00:13,320 Speaker 1: could say that, um, but I wonder I don't think 2576 02:00:13,360 --> 02:00:15,880 Speaker 1: you could draw the inference then that that's necessarily good 2577 02:00:15,920 --> 02:00:18,200 Speaker 1: for humans, just that that's like a uniquely addictive false 2578 02:00:18,240 --> 02:00:20,560 Speaker 1: food for humans, because nobody's gonna say, like, well, pizza 2579 02:00:20,640 --> 02:00:23,240 Speaker 1: is clearly a vitamin, like that doesn't work that way. 2580 02:00:23,240 --> 02:00:24,840 Speaker 1: But yeah, I think that we've figured out that's a 2581 02:00:24,840 --> 02:00:28,080 Speaker 1: whole separate discussion about the way that we've hijacked human satiety. 2582 02:00:28,560 --> 02:00:30,440 Speaker 1: Oh yeah, yeah. And then we've the fact that we've 2583 02:00:30,520 --> 02:00:34,000 Speaker 1: made these things super addictive, but evolutionarily, there's no such 2584 02:00:34,040 --> 02:00:36,360 Speaker 1: thing as pizza. There's the thing I wanted to mention earlier, 2585 02:00:36,760 --> 02:00:40,040 Speaker 1: um that that my wife does that our kids that 2586 02:00:40,160 --> 02:00:44,480 Speaker 1: I think is helpful and what I came to mind 2587 02:00:45,080 --> 02:00:48,200 Speaker 1: when we were talking about earlier, like that to try 2588 02:00:48,240 --> 02:00:51,360 Speaker 1: to get yourself into a position where you feel really good, 2589 02:00:51,480 --> 02:00:54,560 Speaker 1: where you have an awareness of your body, and to 2590 02:00:54,720 --> 02:00:56,640 Speaker 1: strip things away to a point where like, okay, like 2591 02:00:56,720 --> 02:00:59,000 Speaker 1: I feel optimal right now. Like let's say you go 2592 02:00:59,160 --> 02:01:02,280 Speaker 1: on you know, uh hunt for a week and you're 2593 02:01:02,320 --> 02:01:05,520 Speaker 1: not at home snacking on normal garbage, and you're really 2594 02:01:05,640 --> 02:01:08,919 Speaker 1: pouring it to it physically every day, your meal structure 2595 02:01:09,040 --> 02:01:12,040 Speaker 1: changes and at the end of your like, god, like, 2596 02:01:12,160 --> 02:01:14,840 Speaker 1: I never feel this good. And then you just like 2597 02:01:14,920 --> 02:01:16,640 Speaker 1: lazily go back into all this ship that makes you 2598 02:01:16,680 --> 02:01:18,480 Speaker 1: not feel good, but you hit a point where you're like, 2599 02:01:18,760 --> 02:01:22,600 Speaker 1: this is what I would like to feel, like wide awake, 2600 02:01:23,160 --> 02:01:26,800 Speaker 1: a lot of energy, sleep, very soundly at night, right, 2601 02:01:27,160 --> 02:01:28,520 Speaker 1: and you hit kind of like a thing that a 2602 02:01:28,600 --> 02:01:31,320 Speaker 1: thing to strive to and just listen to your body 2603 02:01:31,720 --> 02:01:34,000 Speaker 1: when when when our kids are in a situation like 2604 02:01:34,160 --> 02:01:35,640 Speaker 1: let they go to a birthday party and all of 2605 02:01:35,640 --> 02:01:37,920 Speaker 1: a sudden, whatever reason, someone's hands them like a piece 2606 02:01:37,920 --> 02:01:41,480 Speaker 1: of cake the size of a book. Right. Uh, She'll 2607 02:01:41,560 --> 02:01:45,320 Speaker 1: say she like introduced this idea, she said, like, go ahead, 2608 02:01:45,400 --> 02:01:48,360 Speaker 1: listen to your body, you know. And it's funny, man, 2609 02:01:48,640 --> 02:01:52,440 Speaker 1: when you remind him of that, they will not eat 2610 02:01:52,480 --> 02:01:55,080 Speaker 1: as much because just making them be like, oh that's right, 2611 02:01:55,080 --> 02:01:56,720 Speaker 1: and they'll be like, you know what, my body's telling me, 2612 02:01:56,840 --> 02:02:00,760 Speaker 1: I'm done. But they need to be invited. They need 2613 02:02:00,840 --> 02:02:03,720 Speaker 1: to be invited and reminded to be like ask yourself 2614 02:02:03,760 --> 02:02:05,760 Speaker 1: when you think you've had enough of that ship, and 2615 02:02:05,840 --> 02:02:08,160 Speaker 1: hopefully and they're like, oh, yeah, you know what I do. 2616 02:02:08,360 --> 02:02:10,280 Speaker 1: I think I have had enough of that ship, you know, 2617 02:02:10,920 --> 02:02:14,760 Speaker 1: and they're more likely to walk away and hopefully, you know, 2618 02:02:14,960 --> 02:02:18,320 Speaker 1: parents can help their kids or you know, realize after 2619 02:02:18,360 --> 02:02:20,760 Speaker 1: they binge on Halloween candy or the cake, when the 2620 02:02:20,800 --> 02:02:22,760 Speaker 1: kids are like I don't feel good, I feel anxious, 2621 02:02:22,800 --> 02:02:24,640 Speaker 1: or I'm just you know, like do you think this 2622 02:02:24,760 --> 02:02:27,720 Speaker 1: is related to the food you ate. Listen to your body. 2623 02:02:27,880 --> 02:02:29,080 Speaker 1: I love it. I think that's what we need to 2624 02:02:29,120 --> 02:02:31,200 Speaker 1: teach our kids. But you bring up this great point 2625 02:02:31,200 --> 02:02:33,520 Speaker 1: that we talked on her earlier. It's just how many 2626 02:02:33,600 --> 02:02:35,640 Speaker 1: of us have taken the time to get to the 2627 02:02:35,640 --> 02:02:37,840 Speaker 1: point where we know what that optimal feels like, and 2628 02:02:37,880 --> 02:02:40,160 Speaker 1: then you can see the deviance. It's signal versus noise. Yeah, 2629 02:02:40,160 --> 02:02:42,440 Speaker 1: I used to have it, uh where I tell my 2630 02:02:42,560 --> 02:02:44,800 Speaker 1: wife like, God, I'm like, it's just so depressed today. 2631 02:02:44,800 --> 02:02:47,360 Speaker 1: And she goes, let's walk back a step. Let's walk 2632 02:02:47,400 --> 02:02:50,800 Speaker 1: back step. Were you pretty drunk forty eight hours ago? 2633 02:02:51,920 --> 02:02:54,000 Speaker 1: And I was like, my god, I was I forgot 2634 02:02:54,000 --> 02:02:57,080 Speaker 1: about that. She goes, yeah, yeah, maybe maybe something. They're 2635 02:02:57,280 --> 02:03:01,840 Speaker 1: funny that we've had this conversation thirty times. YEA, totally true. 2636 02:03:03,160 --> 02:03:08,800 Speaker 1: All right. So Paul Saladino m D how long you've 2637 02:03:08,800 --> 02:03:11,280 Speaker 1: been a doctor for all a long a long time, 2638 02:03:11,440 --> 02:03:13,680 Speaker 1: Like you went out of college and no, I, um, 2639 02:03:14,160 --> 02:03:16,080 Speaker 1: I guess it depends when you described me as a doctor. 2640 02:03:16,160 --> 02:03:20,600 Speaker 1: But I finished residency. I've got a medical school six 2641 02:03:20,680 --> 02:03:23,360 Speaker 1: years ago. So yeah, I'm a little bit. I'm a 2642 02:03:23,440 --> 02:03:26,320 Speaker 1: little bit. Uh. Your non tread. I'm little bit. Yeah, 2643 02:03:26,320 --> 02:03:28,240 Speaker 1: I'm a little bit older than most docs who have 2644 02:03:28,360 --> 02:03:30,560 Speaker 1: been out that long because I took six years off 2645 02:03:30,560 --> 02:03:32,880 Speaker 1: after college and just played and explored into my own return. 2646 02:03:32,960 --> 02:03:35,360 Speaker 1: Yeah do you did you immediately And I wanted to 2647 02:03:35,400 --> 02:03:37,240 Speaker 1: ask this earlier, just never got to it, But did 2648 02:03:37,280 --> 02:03:41,080 Speaker 1: you immediately get into diet type stuff and or what 2649 02:03:41,240 --> 02:03:44,640 Speaker 1: was your original medicine that you're going to work in? Yeah? Yeah, 2650 02:03:44,680 --> 02:03:47,800 Speaker 1: I've always been interested in diet before. The reason I 2651 02:03:47,880 --> 02:03:49,440 Speaker 1: said a long time was because I before I went 2652 02:03:49,480 --> 02:03:52,240 Speaker 1: to medical school, I was a physician assistant and I 2653 02:03:52,320 --> 02:03:54,720 Speaker 1: worked in cardiology, so I wasn't a doctor technically, but 2654 02:03:54,760 --> 02:03:56,520 Speaker 1: I was working in medicine and you know, as a 2655 02:03:56,600 --> 02:03:58,040 Speaker 1: p A. And then I went back to medical school. 2656 02:03:58,480 --> 02:04:00,400 Speaker 1: And the whole reason I went back to medical school 2657 02:04:00,800 --> 02:04:04,200 Speaker 1: was because I got fascinated by these connections between diet 2658 02:04:04,440 --> 02:04:05,720 Speaker 1: and health. I just was like, you know, I think 2659 02:04:05,760 --> 02:04:08,280 Speaker 1: this is a big lever. Of course, stress and family 2660 02:04:08,320 --> 02:04:11,080 Speaker 1: and community and environmental talkins, but diet is the lever 2661 02:04:11,200 --> 02:04:13,120 Speaker 1: that I wanted to get interested in. So I always 2662 02:04:13,240 --> 02:04:15,800 Speaker 1: knew that in my work I was gonna be kind 2663 02:04:15,840 --> 02:04:17,880 Speaker 1: of drilling down these ideas. I obviously haven't been thinking 2664 02:04:17,880 --> 02:04:20,800 Speaker 1: about a carnivore approach for you know, since I was 2665 02:04:20,800 --> 02:04:22,280 Speaker 1: a p A. But that was the reason I went 2666 02:04:22,320 --> 02:04:23,880 Speaker 1: back to medical school was to think, like, how is 2667 02:04:23,920 --> 02:04:27,360 Speaker 1: this connected? The carnival Code is not your first book. 2668 02:04:27,560 --> 02:04:29,760 Speaker 1: It's my first book. It is your first book. So 2669 02:04:29,960 --> 02:04:33,960 Speaker 1: you're saying, so you're you're working on a cookbook. Okay, 2670 02:04:34,040 --> 02:04:36,440 Speaker 1: but that's not gonna happen yet. That's next year. Got you? 2671 02:04:37,040 --> 02:04:41,560 Speaker 1: So the Carnivore Code, Paul Saladino, it's out now, soon 2672 02:04:41,720 --> 02:04:45,040 Speaker 1: out now? And then how do people go find you online? 2673 02:04:45,400 --> 02:04:47,440 Speaker 1: The best place to find me is all of my 2674 02:04:47,520 --> 02:04:50,200 Speaker 1: stuff on my podcast is at Heart and Soil Supplements 2675 02:04:50,240 --> 02:04:51,960 Speaker 1: dot com. And what about when you're hanging out on 2676 02:04:52,040 --> 02:04:54,320 Speaker 1: so do you do stuff on social media? At carnivore 2677 02:04:54,520 --> 02:05:01,160 Speaker 1: M d oh, that's good, like that sel that's real 2678 02:05:01,200 --> 02:05:04,040 Speaker 1: good at carnivore MD. Carnivore M d dude, that's a 2679 02:05:04,080 --> 02:05:07,600 Speaker 1: great idea, man. Animal based medicine. You know people think 2680 02:05:07,600 --> 02:05:10,760 Speaker 1: about plant based. We're doing animal based medicine. That's a 2681 02:05:10,880 --> 02:05:16,960 Speaker 1: great handle. Thanks gratulation. Doctor was taken. So I got 2682 02:05:17,080 --> 02:05:20,120 Speaker 1: meat doctor. Girls are like, can I call you doctor meat? 2683 02:05:21,680 --> 02:05:23,040 Speaker 1: So I was like, no, I don't think that's a 2684 02:05:23,040 --> 02:05:25,960 Speaker 1: good one. Doctor Meat was the other choice between Dr 2685 02:05:26,040 --> 02:05:33,240 Speaker 1: Meat dot com. Alright, so check out the book. I 2686 02:05:33,320 --> 02:05:36,200 Speaker 1: mean we only just touched on like a smidge what's 2687 02:05:36,200 --> 02:05:38,000 Speaker 1: in the book. So check out the book The Carnivore 2688 02:05:38,120 --> 02:05:46,000 Speaker 1: Code Paul Saladino, Dr Paul, and it's out. Now. You 2689 02:05:46,080 --> 02:05:48,400 Speaker 1: look real good in your author photo. I mean that's 2690 02:05:48,440 --> 02:05:50,040 Speaker 1: my Do you look at him? Dad? You look like 2691 02:05:50,120 --> 02:05:53,080 Speaker 1: a mean lawyer. You look like a mean lawyer that's 2692 02:05:53,080 --> 02:05:57,040 Speaker 1: going to get you out of jail. Driving a car 2693 02:05:57,200 --> 02:05:59,680 Speaker 1: real fast and pull out a nine mill and oh yeah? 2694 02:05:59,680 --> 02:06:01,360 Speaker 1: Are you looks like a dude from the Fast and 2695 02:06:01,480 --> 02:06:03,720 Speaker 1: Furious out there? Man, that's a better way to I 2696 02:06:03,760 --> 02:06:05,680 Speaker 1: wish my editor told me that. Man, you're too serious 2697 02:06:05,720 --> 02:06:08,080 Speaker 1: in this photo. Oh no, you just look like, Yeah, 2698 02:06:08,120 --> 02:06:11,040 Speaker 1: you look like you're gonna think being an espionage thriller. 2699 02:06:11,160 --> 02:06:12,640 Speaker 1: Maybe I was trying to be a little James Bond. 2700 02:06:12,680 --> 02:06:14,600 Speaker 1: Here we're up again, some serious stuff here, you know 2701 02:06:14,680 --> 02:06:17,400 Speaker 1: you guys, Yeah, do not joke. We're talking about human Hell, 2702 02:06:17,400 --> 02:06:22,960 Speaker 1: we're talking yeah, I mean, yeah, I'm putting a suit on. Man. 2703 02:06:23,080 --> 02:06:26,040 Speaker 1: I smile a lot more than that picture makes me. Actually, 2704 02:06:26,040 --> 02:06:29,720 Speaker 1: I know that I think the putting the picture demands 2705 02:06:29,760 --> 02:06:32,360 Speaker 1: some respect. Man. All right, thank you very much for 2706 02:06:32,440 --> 02:06:34,920 Speaker 1: coming on my pleasure. It's pleasure and privilege. I'm gonna 2707 02:06:34,920 --> 02:06:37,480 Speaker 1: go home and just drink animal fat, not fry anything, 2708 02:06:38,000 --> 02:06:40,040 Speaker 1: drink it cold. Well, you could just eat your animal fat, 2709 02:06:40,920 --> 02:06:44,920 Speaker 1: your animal I'm gonna experiment this was this is it 2710 02:06:44,960 --> 02:06:49,680 Speaker 1: gonna change what's for dinner tonight? M M. I made 2711 02:06:49,720 --> 02:06:54,960 Speaker 1: the mistake of not uh no, no, because no, because 2712 02:06:54,960 --> 02:06:57,320 Speaker 1: we had fish cakes last night, and we had so 2713 02:06:57,400 --> 02:06:59,600 Speaker 1: many suckers that we now have a giant bowl of 2714 02:06:59,640 --> 02:07:01,440 Speaker 1: fish cake. So we're having exactly what we had last 2715 02:07:01,520 --> 02:07:04,680 Speaker 1: night tonight. I don't want to waste I'd rather be 2716 02:07:04,880 --> 02:07:10,680 Speaker 1: unhealthy then waste suckers. Hear that. But after the next night, 2717 02:07:12,080 --> 02:07:18,600 Speaker 1: I'm gonna tell everybody kids making misteake tonight. Raw you 2718 02:07:18,640 --> 02:07:21,520 Speaker 1: guys get a buzz buzz. Oh yeah, I'm flying high man, 2719 02:07:22,120 --> 02:07:27,520 Speaker 1: all hopped up on liver. I can't tell the creeper 2720 02:07:27,600 --> 02:07:31,240 Speaker 1: that you gave me. Yeah he threw u um, he 2721 02:07:31,360 --> 02:07:36,240 Speaker 1: threw some of that horse tranquilizer in the yond. All right, 2722 02:07:36,280 --> 02:08:00,320 Speaker 1: thanks a lot, man, Thanks Paul, Thanks guys. One