1 00:00:00,160 --> 00:00:02,040 Speaker 1: In medical school, they actually tell you, like half the 2 00:00:02,080 --> 00:00:03,800 Speaker 1: stuff we're teaching now is wrong. We just don't know 3 00:00:03,800 --> 00:00:05,600 Speaker 1: which happen it is. So I mean that's built in 4 00:00:05,640 --> 00:00:08,080 Speaker 1: you already kind of accept that. We don't have a 5 00:00:08,080 --> 00:00:10,680 Speaker 1: lot of data on people just consuming me. We have 6 00:00:10,760 --> 00:00:13,880 Speaker 1: a few studies out there, but there's been i mean, gosh, 7 00:00:14,040 --> 00:00:18,919 Speaker 1: almost no evidence it suggests anyone's developing any significant vitument deficiencies. 8 00:00:18,920 --> 00:00:20,880 Speaker 1: And Harvard study that came out in twenty twenty one 9 00:00:21,360 --> 00:00:24,279 Speaker 1: they specifically looked at that they didn't find any evidence 10 00:00:24,280 --> 00:00:25,480 Speaker 1: of nutrient deficiencies. 11 00:00:25,840 --> 00:00:28,320 Speaker 2: You know, I often say that everything you've learned is wrong, 12 00:00:28,600 --> 00:00:31,520 Speaker 2: and when it comes to the world of well, almost everything. 13 00:00:31,640 --> 00:00:33,400 Speaker 2: That's why I say almost everything that is wrong. Now 14 00:00:33,479 --> 00:00:36,440 Speaker 2: we typically talk about finance and what you've learned about money, 15 00:00:36,600 --> 00:00:39,400 Speaker 2: but of course what you've learned about relationships and even 16 00:00:39,520 --> 00:00:43,280 Speaker 2: your health is wrong. I'm sitting down with doctor Sean Baker. 17 00:00:43,320 --> 00:00:47,400 Speaker 2: He's a multi sport, world record setting athlete, physician and 18 00:00:47,640 --> 00:00:50,960 Speaker 2: author of The Carnivore Diety. You're opening clinics helping people. 19 00:00:50,960 --> 00:00:53,880 Speaker 2: There's obviously the weight loss industry is massive. There's a 20 00:00:53,880 --> 00:00:55,560 Speaker 2: lot of money there, so it doesn't seem like it's 21 00:00:55,680 --> 00:00:56,560 Speaker 2: just about the money. 22 00:00:56,800 --> 00:01:00,000 Speaker 1: I think there's just much more profit in keeping people 23 00:01:00,240 --> 00:01:03,320 Speaker 1: relatively sick, and then this doing this sort of what 24 00:01:03,360 --> 00:01:04,600 Speaker 1: we call disease management. 25 00:01:04,640 --> 00:01:06,360 Speaker 2: Maybe it was sort of having this one foot in, 26 00:01:06,440 --> 00:01:08,800 Speaker 2: one foot out where I do eat all that fat, 27 00:01:08,840 --> 00:01:11,319 Speaker 2: but I'm also eating the garbage, and so then maybe 28 00:01:11,400 --> 00:01:12,399 Speaker 2: combined it's bad. 29 00:01:12,800 --> 00:01:15,520 Speaker 1: If you get leaner and leaner, the cholesterol goes up. 30 00:01:15,640 --> 00:01:18,480 Speaker 1: If you're obese, your cholesterol will go down. And so 31 00:01:18,640 --> 00:01:21,880 Speaker 1: the question is is that actually harmful? I'd say the 32 00:01:21,920 --> 00:01:26,039 Speaker 1: real answer is, Sehn, thanks for joining me. Hey, Mark, 33 00:01:26,160 --> 00:01:27,040 Speaker 1: appreciate you having me on. 34 00:01:27,160 --> 00:01:29,360 Speaker 2: Sorry to make you weight. We were waiting for a 35 00:01:29,400 --> 00:01:30,240 Speaker 2: president Trump today. 36 00:01:30,319 --> 00:01:31,399 Speaker 1: We'll cut on some slack. 37 00:01:31,920 --> 00:01:33,360 Speaker 2: He held us up a little bit. We'll cut that 38 00:01:33,400 --> 00:01:39,120 Speaker 2: guy some slack. What are the world records setting? 39 00:01:39,160 --> 00:01:43,360 Speaker 1: Oh yeah, so, I mean I had world records in powerlifting, 40 00:01:43,440 --> 00:01:47,319 Speaker 1: so I was. I was a drug free, pretty decent deadlifter. 41 00:01:47,400 --> 00:01:49,840 Speaker 1: I lifted three hundred and fifty kilos seven and seventy 42 00:01:49,880 --> 00:01:52,400 Speaker 1: two pounds. You know, quite a few years ago, when 43 00:01:52,400 --> 00:01:55,160 Speaker 1: I was a little younger, I did the Highland Games, 44 00:01:55,240 --> 00:01:57,680 Speaker 1: which is kind of an interesting sports. The Scottish games 45 00:01:57,680 --> 00:01:59,800 Speaker 1: where you put on a kilt and you throw heavy things, 46 00:02:00,080 --> 00:02:03,800 Speaker 1: really big telephone polls, cabers, and various other events. I 47 00:02:03,880 --> 00:02:07,040 Speaker 1: won a world championship and set a world record, and 48 00:02:07,120 --> 00:02:11,000 Speaker 1: that then I went on to competitive rowing, you know, uh, 49 00:02:11,040 --> 00:02:15,200 Speaker 1: and set I think six or seven American records and 50 00:02:15,600 --> 00:02:18,799 Speaker 1: these are age group records and several world records, and 51 00:02:19,160 --> 00:02:20,960 Speaker 1: in fact fact, I'll probably break some more of them 52 00:02:20,960 --> 00:02:23,120 Speaker 1: in the next couple of weeks training for that. Yeah. 53 00:02:23,240 --> 00:02:26,560 Speaker 2: Good Now, As I said, I often say on my videos, 54 00:02:26,560 --> 00:02:30,400 Speaker 2: everything you've learned is wrong. My sister was an er doctor, 55 00:02:30,720 --> 00:02:32,320 Speaker 2: and I remember when she got out of medical school. 56 00:02:32,440 --> 00:02:35,040 Speaker 2: She came home and, you know, forget all your vitamins, 57 00:02:35,080 --> 00:02:37,200 Speaker 2: forget all that, just take the antibiotics, and she was 58 00:02:37,280 --> 00:02:39,760 Speaker 2: just like in this like tunnel. A couple of years ago, 59 00:02:39,800 --> 00:02:41,960 Speaker 2: she was forced to leave California because she didn't want 60 00:02:41,960 --> 00:02:44,680 Speaker 2: to go along with the program in California. She went 61 00:02:44,720 --> 00:02:48,799 Speaker 2: to a functional medicine clinic in Houston, and like, wow, 62 00:02:48,880 --> 00:02:51,160 Speaker 2: learn for the first time you can heal people. And 63 00:02:51,880 --> 00:02:55,120 Speaker 2: I realized sort of in the world of physicians as well, 64 00:02:55,160 --> 00:02:57,160 Speaker 2: like probably a lot of what you learned was wrong 65 00:02:57,200 --> 00:02:58,639 Speaker 2: and in order for you to learn the other way. 66 00:02:58,639 --> 00:03:00,480 Speaker 2: You sort of maybe have to go unl learning that 67 00:03:00,760 --> 00:03:02,760 Speaker 2: and learn some new stuff. I'm curious sort of like 68 00:03:02,840 --> 00:03:04,720 Speaker 2: how you went from that path from being an MD, 69 00:03:04,960 --> 00:03:07,040 Speaker 2: Like what was that wake up moment that caused you 70 00:03:07,120 --> 00:03:07,679 Speaker 2: go figure that. 71 00:03:07,800 --> 00:03:09,720 Speaker 1: Yeah, you know, in medical school they actually tell you 72 00:03:09,760 --> 00:03:11,400 Speaker 1: like half the stuff we're teaching now is wrong. We 73 00:03:11,440 --> 00:03:12,800 Speaker 1: just don't know which half it is. So I mean 74 00:03:12,840 --> 00:03:15,480 Speaker 1: that's built in you already kind of accept that, but 75 00:03:15,480 --> 00:03:17,640 Speaker 1: then you know, you kind of go along. And really 76 00:03:17,680 --> 00:03:20,800 Speaker 1: the moment for me was was that showed me that 77 00:03:21,000 --> 00:03:22,800 Speaker 1: the real problems we have with the healthcare system was 78 00:03:22,800 --> 00:03:25,400 Speaker 1: the fact that we had a situation and you know, 79 00:03:25,440 --> 00:03:27,600 Speaker 1: my background is orthopedic surgery, so I would do knee 80 00:03:27,639 --> 00:03:30,320 Speaker 1: replacements and hip replacements, fixed broken bones and whatnot, and 81 00:03:30,400 --> 00:03:33,760 Speaker 1: we were as a community, you know, struggling with the 82 00:03:33,800 --> 00:03:36,960 Speaker 1: fact that we had so many obese patients and they 83 00:03:36,960 --> 00:03:40,920 Speaker 1: were having greater complication rates after surgeries, particularly after knee replacements, 84 00:03:40,960 --> 00:03:43,640 Speaker 1: and so we kind of as a collective community said, hey, 85 00:03:43,880 --> 00:03:45,680 Speaker 1: we got to get these people to lose weight prior 86 00:03:45,720 --> 00:03:47,560 Speaker 1: to doing the surgery, and they didn't really give you 87 00:03:47,560 --> 00:03:49,520 Speaker 1: a framework on how to do that. Some of them 88 00:03:49,560 --> 00:03:53,120 Speaker 1: got sent to bariatric surgeons for gas to bypass. 89 00:03:52,720 --> 00:03:53,080 Speaker 2: Some of them. 90 00:03:53,080 --> 00:03:55,800 Speaker 1: You know, we you know, whatever, diet exercise, eat more, 91 00:03:56,040 --> 00:03:58,480 Speaker 1: you know, eat less, move more type of stuff. And 92 00:03:58,640 --> 00:04:00,760 Speaker 1: I just at that time it happened to be that 93 00:04:00,840 --> 00:04:02,920 Speaker 1: I was doing a very low carb diet and kithogenic 94 00:04:02,960 --> 00:04:05,400 Speaker 1: dit at the time, and so I said, this was 95 00:04:05,920 --> 00:04:09,960 Speaker 1: twenty twelve, something like twelve, twenty thirteen, and at that 96 00:04:10,120 --> 00:04:13,440 Speaker 1: point I said, well, I'm gonna try to some of 97 00:04:13,480 --> 00:04:15,920 Speaker 1: my patients. And you know, not all the patients would 98 00:04:15,960 --> 00:04:17,800 Speaker 1: do it. In fact, probably maybe twenty percent would actually 99 00:04:17,839 --> 00:04:21,120 Speaker 1: do it, but a significant significant percentage of ones that 100 00:04:21,160 --> 00:04:25,599 Speaker 1: would actually go on a diet and legitimately do it 101 00:04:25,640 --> 00:04:28,159 Speaker 1: would very often report to me that their their knee 102 00:04:28,160 --> 00:04:31,960 Speaker 1: pain was gone, which I thought was really interesting because 103 00:04:32,040 --> 00:04:33,560 Speaker 1: they were the reason I was seeing it was for 104 00:04:33,560 --> 00:04:35,360 Speaker 1: a knee replace because they were in horrible knee pain. 105 00:04:35,880 --> 00:04:38,880 Speaker 1: So I started canceling surgeries, and then I thought it 106 00:04:38,920 --> 00:04:42,240 Speaker 1: was pretty cool that that was happening. I brought this 107 00:04:42,279 --> 00:04:44,599 Speaker 1: to the sort of the hospital administration. I said, hey, guys, 108 00:04:44,880 --> 00:04:46,560 Speaker 1: I'd like to spend you know, half day week kind 109 00:04:46,560 --> 00:04:49,799 Speaker 1: of doing some lifestyle diet counseling and I was flat 110 00:04:50,200 --> 00:04:52,760 Speaker 1: out told basically, no, you can't do that, and that 111 00:04:52,760 --> 00:04:55,240 Speaker 1: that was my wake up call that wait a minute, 112 00:04:55,320 --> 00:04:57,960 Speaker 1: this is not about what's best for the patients, what's 113 00:04:57,960 --> 00:05:00,800 Speaker 1: best for the bottom line, which you don't businesses or 114 00:05:00,839 --> 00:05:02,080 Speaker 1: what you know, they do what they need to do 115 00:05:02,120 --> 00:05:05,920 Speaker 1: to make money. But it made me realize that what 116 00:05:06,000 --> 00:05:09,600 Speaker 1: I learned about how to treat disease and take care 117 00:05:09,600 --> 00:05:12,279 Speaker 1: of patients in medical school was maybe not the most 118 00:05:12,279 --> 00:05:14,440 Speaker 1: effective way or maybe not the best way, and so 119 00:05:14,520 --> 00:05:17,200 Speaker 1: I sort of went down this rabbit hole of nutrition 120 00:05:17,480 --> 00:05:20,160 Speaker 1: and now, guys, for the last us eight or nine 121 00:05:20,240 --> 00:05:23,159 Speaker 1: years now, I've been sort of seeing the stuff evolve. 122 00:05:23,240 --> 00:05:26,400 Speaker 1: And I mean every day I see people that whether 123 00:05:26,400 --> 00:05:30,720 Speaker 1: it's joint pain or mental health disorders like depression, bipolar disorder, 124 00:05:31,240 --> 00:05:33,800 Speaker 1: autoimmune diseases, we're just putting them in a remission left 125 00:05:33,800 --> 00:05:37,000 Speaker 1: and right. And that's what sort of prompted me to 126 00:05:37,000 --> 00:05:40,960 Speaker 1: found a company called Rivero that you know, we're licensed 127 00:05:40,960 --> 00:05:43,960 Speaker 1: in all fifty states and we have physicians across the 128 00:05:44,040 --> 00:05:47,960 Speaker 1: nation that take people in deal with the nutrition in 129 00:05:47,960 --> 00:05:49,960 Speaker 1: their lifestyle, get them off madge, and then we have 130 00:05:49,960 --> 00:05:52,200 Speaker 1: all the support that goes with it. That's required because 131 00:05:52,560 --> 00:05:55,440 Speaker 1: the healthcare system, you don't have a lot of support. 132 00:05:55,440 --> 00:05:57,640 Speaker 1: If you want to make a life lifestyle intervention. If 133 00:05:57,680 --> 00:05:59,839 Speaker 1: I want to do surgery in somebody, I've got a 134 00:06:00,080 --> 00:06:03,239 Speaker 1: multimillion dollar operating room, I've got radiology suites, I've got 135 00:06:03,520 --> 00:06:05,800 Speaker 1: you know labs, I've got physical therapy. I've got you 136 00:06:05,800 --> 00:06:08,720 Speaker 1: know everything. I need millions and millions of dollars of resource. 137 00:06:08,880 --> 00:06:13,520 Speaker 1: But if I say, hey, let's work on this person's lifestyle, sleep, exercise, nutrition, 138 00:06:14,600 --> 00:06:17,120 Speaker 1: so on and so forth, you got zero nothing. 139 00:06:17,360 --> 00:06:21,400 Speaker 2: So now the obvious thing seems that because there's no 140 00:06:21,440 --> 00:06:23,240 Speaker 2: money in that. So you mentioned earlier, well, we have 141 00:06:23,240 --> 00:06:25,119 Speaker 2: a business, we want to do surgery, So the obvious 142 00:06:25,200 --> 00:06:27,680 Speaker 2: thing seems to be the money. However, you're opening clinics 143 00:06:27,720 --> 00:06:30,840 Speaker 2: helping people. There's obviously the weight loss industry is massive. 144 00:06:30,880 --> 00:06:32,479 Speaker 2: There's a lot of money there. So it doesn't seem 145 00:06:32,520 --> 00:06:34,919 Speaker 2: like it's just about the money. I mean, why do 146 00:06:34,960 --> 00:06:38,640 Speaker 2: you think there's just not support, Because there's obviously weight 147 00:06:38,640 --> 00:06:42,160 Speaker 2: loss support, right, Jenny Craig or whatever. Right, there's weight watchers, 148 00:06:42,160 --> 00:06:45,440 Speaker 2: there's plenty of that, but there's not for you know, 149 00:06:45,520 --> 00:06:48,560 Speaker 2: more traditional or type of health. 150 00:06:48,760 --> 00:06:51,080 Speaker 1: Yeah, So I mean there is money in that. And 151 00:06:51,160 --> 00:06:53,839 Speaker 1: I think there's there's cost savings. Certainly, if you're a 152 00:06:53,880 --> 00:06:56,200 Speaker 1: company in thirty percent of your expenses are going to 153 00:06:56,200 --> 00:06:59,120 Speaker 1: play for your pay for employees, medical benefits. I mean 154 00:06:59,240 --> 00:07:01,919 Speaker 1: saving that is actually you know, a net you know, 155 00:07:02,040 --> 00:07:06,000 Speaker 1: profit to you. I think there's just much more profit 156 00:07:06,480 --> 00:07:09,120 Speaker 1: in keeping people relatively sick. And then this doing this 157 00:07:09,240 --> 00:07:13,000 Speaker 1: sort of what we call disease management. Now, disease management 158 00:07:13,120 --> 00:07:16,440 Speaker 1: was a term that came into vogue maybe twenty years ago. 159 00:07:16,480 --> 00:07:18,440 Speaker 1: I remember when I started medicine, I hadn't heard the 160 00:07:18,480 --> 00:07:21,480 Speaker 1: term disease management. Then they started talking disease men, what 161 00:07:21,520 --> 00:07:23,800 Speaker 1: is disease management? Oh, that means we're just going to 162 00:07:24,280 --> 00:07:26,560 Speaker 1: keep these people in a state of illness and manage 163 00:07:26,600 --> 00:07:29,480 Speaker 1: their symptom ya medication. And that's really the business model 164 00:07:29,520 --> 00:07:33,240 Speaker 1: that's gone forward. It's very profitable, you know. I mean 165 00:07:33,280 --> 00:07:35,920 Speaker 1: Goldman Sachs a few year Agoes a few years ago 166 00:07:36,560 --> 00:07:38,760 Speaker 1: was asked the question is it profitable to cure disease? 167 00:07:39,040 --> 00:07:41,560 Speaker 1: And resultingly they said, no, it's not. It doesn't make 168 00:07:41,600 --> 00:07:45,600 Speaker 1: sense business wise. And so, you know, I think that's 169 00:07:45,880 --> 00:07:47,800 Speaker 1: the problem that we have in general, is we have 170 00:07:47,920 --> 00:07:51,600 Speaker 1: a sick population, which to anyone that's been outside can 171 00:07:51,640 --> 00:07:53,400 Speaker 1: see that. I mean, anybody's been on the earth for 172 00:07:53,440 --> 00:07:56,360 Speaker 1: longer than twenty or thirty years now sees that we've 173 00:07:56,360 --> 00:08:03,720 Speaker 1: got just more and more sick, depressed, you know, dependent population. 174 00:08:03,960 --> 00:08:07,080 Speaker 2: Yeah. Now, in the last probably two years, I have 175 00:08:07,120 --> 00:08:09,720 Speaker 2: two good friends of mine that were both really big, 176 00:08:10,080 --> 00:08:14,480 Speaker 2: have gone through gastric bypass. Both lost a ton of weight, 177 00:08:15,240 --> 00:08:18,080 Speaker 2: like an enormous amount of weight. One of them is 178 00:08:18,200 --> 00:08:20,520 Speaker 2: starting to put the weight back on. They're the ones 179 00:08:20,560 --> 00:08:23,040 Speaker 2: doing pretty good. However, when I look at what they're 180 00:08:23,080 --> 00:08:26,280 Speaker 2: eating afterwards, like they're still eating bags of chips and 181 00:08:26,280 --> 00:08:29,440 Speaker 2: they're still drinking sodas. So even in a type of 182 00:08:29,800 --> 00:08:33,160 Speaker 2: deal where they've gotten the money, they've done the done 183 00:08:33,200 --> 00:08:35,040 Speaker 2: the surgery, you would think they would at least still 184 00:08:35,040 --> 00:08:37,440 Speaker 2: want them to maintain what they've gave them. Otherwise maybe 185 00:08:37,440 --> 00:08:38,079 Speaker 2: they're a failure. 186 00:08:38,240 --> 00:08:40,760 Speaker 1: Well, they don't give them the tools to do that's 187 00:08:40,800 --> 00:08:43,640 Speaker 1: a problem. I mean for some people it's really challenging. 188 00:08:43,679 --> 00:08:45,880 Speaker 1: I mean they literally have to change the relationship with food. 189 00:08:45,920 --> 00:08:48,880 Speaker 1: And when anyone comes to me and talks about weight loss, 190 00:08:48,920 --> 00:08:50,840 Speaker 1: I said, don't worry about that right now, We've got 191 00:08:50,840 --> 00:08:54,200 Speaker 1: to fix your food addiction or whatever is causing you 192 00:08:54,240 --> 00:08:55,920 Speaker 1: to continue to do this, because you can. Anybody can 193 00:08:55,920 --> 00:08:58,640 Speaker 1: lose weight on any diet for a short period of time. 194 00:08:58,679 --> 00:09:02,960 Speaker 1: It's what happens Coli restrictions. Of course, it works for 195 00:09:03,000 --> 00:09:05,040 Speaker 1: a while until you can't do it anymore. And so 196 00:09:05,280 --> 00:09:08,840 Speaker 1: what this sort of option does is it provides people 197 00:09:09,040 --> 00:09:12,800 Speaker 1: not only a sense of society, but actual nursement because 198 00:09:12,800 --> 00:09:15,040 Speaker 1: there are a lot of obese people out there that 199 00:09:15,120 --> 00:09:18,600 Speaker 1: are at although they're obese, they're similar at the same time, 200 00:09:18,679 --> 00:09:22,120 Speaker 1: they are malnourished because they just don't have the proper nutrition. 201 00:09:22,200 --> 00:09:25,840 Speaker 1: If you don't start feeding yourselves appropriately, then it's so 202 00:09:26,000 --> 00:09:29,280 Speaker 1: easy to constantly be hungry and constantly fall prey to 203 00:09:29,400 --> 00:09:34,240 Speaker 1: the food industry, which is another industry that has very 204 00:09:34,280 --> 00:09:38,000 Speaker 1: clearly designed food to be addictive as possible, you know, 205 00:09:38,240 --> 00:09:40,839 Speaker 1: very profitable, very addictive. I mean, I've talked of food 206 00:09:40,880 --> 00:09:42,880 Speaker 1: chemist that have worked for these companies and they are, 207 00:09:43,160 --> 00:09:44,560 Speaker 1: you know, at the end of their career they feel 208 00:09:44,559 --> 00:09:46,840 Speaker 1: guilty about the fact that they their job literally was 209 00:09:46,880 --> 00:09:50,079 Speaker 1: to addict people to these foods and they've clearly done 210 00:09:50,080 --> 00:09:50,800 Speaker 1: that successfully. 211 00:09:50,960 --> 00:09:54,839 Speaker 2: Yeah, you know, would you say that, do you think 212 00:09:54,880 --> 00:09:58,080 Speaker 2: it's accurate? To say that all diets, like diet plans 213 00:09:58,080 --> 00:10:00,320 Speaker 2: that you would go on Cali restriction diets, are really 214 00:10:00,400 --> 00:10:03,240 Speaker 2: about eating fake food. And if all you ate was 215 00:10:03,280 --> 00:10:05,839 Speaker 2: real food, you wouldn't have to go on those diaplans. 216 00:10:06,120 --> 00:10:10,440 Speaker 1: Well, you know, if we think about what food was 217 00:10:10,480 --> 00:10:13,160 Speaker 1: available to the average human not not that long ago, 218 00:10:13,160 --> 00:10:15,480 Speaker 1: one hundred hundred fifty years ago, and we didn't have 219 00:10:15,520 --> 00:10:18,520 Speaker 1: these these obesity epidemics. You know, we don't have the 220 00:10:19,480 --> 00:10:21,840 Speaker 1: ten thousand items that we have in the in the 221 00:10:21,840 --> 00:10:26,120 Speaker 1: grocery store today. We don't have you know, all of 222 00:10:25,800 --> 00:10:28,840 Speaker 1: the ingredients we're not even sure why. I mean, they're 223 00:10:28,840 --> 00:10:30,560 Speaker 1: there to keep it on the shelf life and to 224 00:10:30,559 --> 00:10:33,400 Speaker 1: make people eat them more. So I think if most 225 00:10:33,440 --> 00:10:36,200 Speaker 1: people would give up that stuff, we would see significant benefits. 226 00:10:36,200 --> 00:10:40,000 Speaker 1: You know, it's interesting. There's a guy from Tufts University, 227 00:10:40,200 --> 00:10:44,959 Speaker 1: Darius Mosafarian, who some people remember. He published a study 228 00:10:45,000 --> 00:10:48,640 Speaker 1: showing that lucky Charms was arguably better than beef, which 229 00:10:48,679 --> 00:10:51,840 Speaker 1: is a nons right, right, But one of the things 230 00:10:51,880 --> 00:10:54,080 Speaker 1: he hasn't pointed out, which I think is interesting, is 231 00:10:54,120 --> 00:10:58,360 Speaker 1: that from about nineteen sixty to nineteteen nineties two thousand eight, 232 00:10:58,400 --> 00:11:01,600 Speaker 1: we ate significantly more calorie and that seems to explain 233 00:11:01,679 --> 00:11:05,240 Speaker 1: the epidemic of obesity. But since that time, our color 234 00:11:05,280 --> 00:11:07,920 Speaker 1: consumption really hasn't increased so much, but we still are 235 00:11:07,920 --> 00:11:10,839 Speaker 1: getting fatter and fatter as a nation. And why is that. Well, 236 00:11:10,880 --> 00:11:14,439 Speaker 1: part of it has to do with the increasingly higher 237 00:11:14,440 --> 00:11:17,200 Speaker 1: percentage of ultra processing that occurs, and so when that 238 00:11:17,240 --> 00:11:20,240 Speaker 1: food is turned into powder, it's just absorbed in a 239 00:11:20,320 --> 00:11:22,280 Speaker 1: very different way than what we're designed for. And so 240 00:11:22,320 --> 00:11:24,960 Speaker 1: when you turn all this food into powder, it's absorbed 241 00:11:25,000 --> 00:11:28,079 Speaker 1: much more quickly. And normally there's something called our microbiome, 242 00:11:28,200 --> 00:11:30,280 Speaker 1: a little bacteria that live in our gut, that would 243 00:11:30,320 --> 00:11:32,960 Speaker 1: consume some of that, but if it's already powder, it 244 00:11:32,960 --> 00:11:36,120 Speaker 1: gets absorbed very rapidly, very high up in our digestive track, 245 00:11:36,200 --> 00:11:38,280 Speaker 1: before those things even have a chance to act on it. 246 00:11:38,360 --> 00:11:40,080 Speaker 1: So even though we're eating the same number of calories, 247 00:11:40,120 --> 00:11:42,920 Speaker 1: we're actually absorbing more calories and that goes to the 248 00:11:43,000 --> 00:11:45,440 Speaker 1: quality of the food. So if you're eating steak and eggs, 249 00:11:46,200 --> 00:11:48,360 Speaker 1: that's pretty old fashioned food. I mean, that's been around 250 00:11:48,360 --> 00:11:53,079 Speaker 1: since human beings have around, basically, and it's it's absorbed 251 00:11:53,080 --> 00:11:56,679 Speaker 1: and digested and metabolized in a way that's consistent of 252 00:11:56,720 --> 00:11:58,760 Speaker 1: how we're designed or how we evolve, or however you 253 00:11:59,160 --> 00:12:00,520 Speaker 1: want to come in phrase that. 254 00:12:00,720 --> 00:12:03,800 Speaker 2: Yeah, yeah, And if you're just eating steak and eggs, 255 00:12:03,800 --> 00:12:06,960 Speaker 2: then you feel so satiated, then you get full faster, 256 00:12:07,120 --> 00:12:08,760 Speaker 2: and it's very hard to over eat. We were talking 257 00:12:08,760 --> 00:12:10,880 Speaker 2: earlier and I was saying that, right lately, I've just 258 00:12:10,880 --> 00:12:13,640 Speaker 2: been eating just meat and I'm having problems gettingenough calories. 259 00:12:14,040 --> 00:12:16,160 Speaker 1: That that is an issue. That's one of the problems 260 00:12:16,200 --> 00:12:18,280 Speaker 1: I say with this is people often end up under eating. 261 00:12:18,920 --> 00:12:20,560 Speaker 1: And you know, I mean, that's a good problem for 262 00:12:20,679 --> 00:12:22,680 Speaker 1: to have for some people, but it can be a 263 00:12:22,679 --> 00:12:24,560 Speaker 1: problem for other people that they that they don't eat 264 00:12:24,679 --> 00:12:27,240 Speaker 1: enough and then they have problems with fatigue and some 265 00:12:27,320 --> 00:12:31,360 Speaker 1: other issues that occur. So it does take some getting 266 00:12:31,440 --> 00:12:32,200 Speaker 1: used to for sure. 267 00:12:32,480 --> 00:12:37,040 Speaker 2: Now I've been into weightlifting, bodybuilding, health supplements, whatever for 268 00:12:37,400 --> 00:12:39,280 Speaker 2: a good majority of my life now at this point, 269 00:12:39,400 --> 00:12:41,560 Speaker 2: and I thought I had heard of everything and every diet. 270 00:12:41,600 --> 00:12:46,200 Speaker 2: And it was at a bitcoin meeting, a conference probably 271 00:12:46,720 --> 00:12:51,439 Speaker 2: twenty nineteen. It was a safety and he told me 272 00:12:51,440 --> 00:12:53,679 Speaker 2: about the carnivore diet and I was like, what, like 273 00:12:53,760 --> 00:12:55,640 Speaker 2: that makes no sense, And I thought I knew a 274 00:12:55,640 --> 00:12:57,960 Speaker 2: lot about diet, like, I've never heard of that. Don't 275 00:12:57,960 --> 00:13:01,040 Speaker 2: we need vegetables? You know, that's probably the most common 276 00:13:01,080 --> 00:13:03,719 Speaker 2: thing I'd hear. Or number two would be, you know, 277 00:13:03,800 --> 00:13:07,040 Speaker 2: now red meat has been sort of vilified. So I 278 00:13:07,080 --> 00:13:09,760 Speaker 2: guess let's address those two things talking about on the 279 00:13:09,760 --> 00:13:13,959 Speaker 2: carnivore diet. Why has red meat been vilified? And maybe 280 00:13:14,000 --> 00:13:16,120 Speaker 2: why is it actually not such a bad game for Yeah, 281 00:13:16,160 --> 00:13:18,520 Speaker 2: so I mean, can it be in the wrong consumption? 282 00:13:18,640 --> 00:13:20,880 Speaker 1: Yeah, The vilification of red meat goes back at least 283 00:13:20,880 --> 00:13:22,320 Speaker 1: one hundred years. I mean, if we look at the 284 00:13:22,320 --> 00:13:25,959 Speaker 1: creation of the American Dietetics Association, which was founded back 285 00:13:26,000 --> 00:13:29,160 Speaker 1: in nineteen seventeen by a gal by the name of 286 00:13:29,240 --> 00:13:33,400 Speaker 1: Lenna Cooper. She was a Seventh Day Adventist, very much 287 00:13:33,440 --> 00:13:40,079 Speaker 1: aligned with our philosophy that red meat was driving sinfulness, lust, masturbation, 288 00:13:41,120 --> 00:13:43,280 Speaker 1: all the bad things were associated with that. So she 289 00:13:44,360 --> 00:13:47,760 Speaker 1: very you know, pointly was in favor of more of 290 00:13:47,760 --> 00:13:50,560 Speaker 1: a vegetarian diet. So that was a very foundation of 291 00:13:50,640 --> 00:13:53,440 Speaker 1: nutrition science in this country and thus most of the 292 00:13:53,440 --> 00:13:56,839 Speaker 1: Western world. And you know, they have gone on the 293 00:13:56,840 --> 00:14:00,880 Speaker 1: Seventh Day Adventist to populate significant percentage is of the 294 00:14:01,000 --> 00:14:03,600 Speaker 1: higher crey of the nutrition sciences, and so the studies 295 00:14:03,640 --> 00:14:05,839 Speaker 1: have always kind of started with that bias. And now, 296 00:14:07,480 --> 00:14:12,880 Speaker 1: you know, what we see clearly is when you consume meat, milk, eggs, 297 00:14:12,920 --> 00:14:16,400 Speaker 1: dairy and things like that, like you mentioned, you're very satiated, 298 00:14:16,520 --> 00:14:20,040 Speaker 1: you don't consume those other foods. And so by vilifying 299 00:14:20,080 --> 00:14:22,640 Speaker 1: those things, now there's a whole there's a gap in 300 00:14:22,720 --> 00:14:25,720 Speaker 1: your your hunger level. So what do you fill it with? Well, 301 00:14:25,760 --> 00:14:28,600 Speaker 1: we typically fill it with ultra processed foods. I mean, 302 00:14:28,600 --> 00:14:30,240 Speaker 1: that's just clearly what happens. You can say, oh, you're 303 00:14:30,240 --> 00:14:33,240 Speaker 1: gonna everyody's gonna eat beans and celery. That doesn't that's 304 00:14:33,280 --> 00:14:36,320 Speaker 1: not what actually happens. We know study after study has 305 00:14:36,320 --> 00:14:37,960 Speaker 1: shown that the more plant based you go, the more 306 00:14:37,960 --> 00:14:40,080 Speaker 1: you tend to eat these ultra process foods. And the 307 00:14:40,120 --> 00:14:42,400 Speaker 1: companies that produce us know that. They clearly know that. 308 00:14:42,480 --> 00:14:45,800 Speaker 1: So if they continue to vilify meat, people eat less 309 00:14:45,800 --> 00:14:47,520 Speaker 1: of it. What do they replace it with, Well, they 310 00:14:47,840 --> 00:14:51,200 Speaker 1: replace it with this cheap, ultra process highly profitable foods. 311 00:14:51,240 --> 00:14:53,240 Speaker 1: And so that's part of it. I mean, the way 312 00:14:53,280 --> 00:14:56,520 Speaker 1: the science is done, like you know, every single and 313 00:14:56,600 --> 00:14:59,280 Speaker 1: this is most of nutrition, Most of nutrition depends on 314 00:14:59,360 --> 00:15:02,160 Speaker 1: these nutritional demiologic studies where they you know, they'll they'll 315 00:15:02,160 --> 00:15:04,240 Speaker 1: look at a you know, one hundred thousand people, they'll 316 00:15:04,800 --> 00:15:07,160 Speaker 1: send out a food frequency questionnaire, ask them, you know, 317 00:15:07,160 --> 00:15:09,200 Speaker 1: how much red meat did gat? How much chicken, and 318 00:15:09,200 --> 00:15:12,080 Speaker 1: how much eggs? How much fruit and vegetables. And first 319 00:15:12,080 --> 00:15:16,160 Speaker 1: of all, it is horribly horribly plagued by recall bias. 320 00:15:16,200 --> 00:15:17,880 Speaker 1: You don't remember. I can't if I asked you what 321 00:15:17,920 --> 00:15:19,840 Speaker 1: you ate five for the last five years, how many 322 00:15:19,960 --> 00:15:22,160 Speaker 1: servings of eggs you ate? You, you wouldn't be able 323 00:15:22,160 --> 00:15:24,440 Speaker 1: to accurately did so, first of all, we have very 324 00:15:24,520 --> 00:15:27,960 Speaker 1: very bad information. But then the way they define red meat, well, 325 00:15:28,200 --> 00:15:30,880 Speaker 1: you know, I literally just posted about this two days ago. 326 00:15:31,800 --> 00:15:35,240 Speaker 1: Every almost every food frequency question the way they define 327 00:15:35,600 --> 00:15:39,440 Speaker 1: beef in particular, beef is defined as steaks, you know, 328 00:15:40,080 --> 00:15:45,960 Speaker 1: roast hamburgers, lasagna, pizza, it's how you know, those things 329 00:15:45,960 --> 00:15:48,440 Speaker 1: are considered to be beef. And wait a minute, it's 330 00:15:48,440 --> 00:15:50,280 Speaker 1: a pizza. Yeah, but it's got well, it doesn't matter, 331 00:15:50,320 --> 00:15:53,480 Speaker 1: it's still considerable. So we have those horrible confounders in there, 332 00:15:53,520 --> 00:15:56,600 Speaker 1: and so we don't have data, at least, you know, 333 00:15:56,760 --> 00:15:59,640 Speaker 1: large scale data on people that aren't eating all the garbage, 334 00:16:00,120 --> 00:16:02,800 Speaker 1: just eating the meat. Now we're seeing anecdotally by the 335 00:16:02,840 --> 00:16:05,920 Speaker 1: thousands and thousands, and there are some studies in progress 336 00:16:06,000 --> 00:16:09,960 Speaker 1: right now which I'm helping to facilitate that are showing that. 337 00:16:10,000 --> 00:16:12,720 Speaker 1: And what we're seeing is if you're eating you know, 338 00:16:13,320 --> 00:16:15,720 Speaker 1: beef and eggs and you're not eating all the garbage, 339 00:16:15,760 --> 00:16:17,600 Speaker 1: you know, you're not eating all the process or fine 340 00:16:17,600 --> 00:16:20,680 Speaker 1: carbohydrates with that, the health outcomes are very very much 341 00:16:20,720 --> 00:16:23,080 Speaker 1: different than what we see when you're eating the standard 342 00:16:23,160 --> 00:16:26,320 Speaker 1: American western you know McDonald's Happy Meal died, Yeah, which 343 00:16:26,320 --> 00:16:28,440 Speaker 1: is what they can flate you know, red meat to. Yeah. 344 00:16:28,520 --> 00:16:30,160 Speaker 2: That's one thing that I was thinking, because you know, 345 00:16:30,240 --> 00:16:32,800 Speaker 2: I eat the rabbi with the butter on it, the 346 00:16:32,840 --> 00:16:36,960 Speaker 2: eggs fat. Yeah, and I'm losing weight right, but you 347 00:16:37,000 --> 00:16:38,560 Speaker 2: know a lot of people say, well, you know there's 348 00:16:38,600 --> 00:16:41,240 Speaker 2: heart disease or the cholesterol, and I was thinking, So 349 00:16:41,840 --> 00:16:43,920 Speaker 2: helped me with this. Maybe it was sort of having 350 00:16:43,960 --> 00:16:45,960 Speaker 2: this one foot in, one foot out where I do 351 00:16:46,080 --> 00:16:48,720 Speaker 2: eat all that fat, but I'm also eating the garbage 352 00:16:48,760 --> 00:16:50,600 Speaker 2: and so then maybe combined it's bad. 353 00:16:50,840 --> 00:16:53,200 Speaker 1: Yeah. I mean I think the I think most people, 354 00:16:53,560 --> 00:16:57,600 Speaker 1: even the most sort of pro you know, low lower 355 00:16:57,640 --> 00:17:01,600 Speaker 1: cholesterol cardioloist will agree that heart disease is multifactoral. There 356 00:17:01,640 --> 00:17:03,200 Speaker 1: are a lot of things that do that, and we 357 00:17:03,360 --> 00:17:06,240 Speaker 1: now know that there are a lot of people with 358 00:17:06,359 --> 00:17:09,720 Speaker 1: very high cholesterol that never develop heart disease. You know, 359 00:17:09,760 --> 00:17:12,480 Speaker 1: the counter that whether they're smokers that never get cancer. Okay, 360 00:17:12,480 --> 00:17:16,199 Speaker 1: that's fair enough. But the reality is is that you know, 361 00:17:17,480 --> 00:17:20,800 Speaker 1: there are other things going on metabolically, metabolic syndrome, diabetes, 362 00:17:20,840 --> 00:17:24,840 Speaker 1: pre diabetes, and some resistance, chronic inflammation, hypertension, all those 363 00:17:24,840 --> 00:17:28,000 Speaker 1: things which meat based that often completely gets what gets 364 00:17:28,080 --> 00:17:29,800 Speaker 1: rid of. I mean, I see people that are blood 365 00:17:29,800 --> 00:17:33,440 Speaker 1: pressure normalized, their diabetes goes away, their obeseity goes away 366 00:17:33,480 --> 00:17:37,600 Speaker 1: pretty consistently, and so the question is, well, what happens 367 00:17:38,480 --> 00:17:40,720 Speaker 1: if your cholesterol still goes up? And the thought is, 368 00:17:40,760 --> 00:17:43,679 Speaker 1: what's because all the saturated fatuating. Well, it turns out, 369 00:17:43,760 --> 00:17:46,800 Speaker 1: in fact, January of this year, Adrian Sodamota, who's a 370 00:17:47,040 --> 00:17:50,879 Speaker 1: brilliant Oxford PhD T, just died. A meta analysis forty 371 00:17:50,880 --> 00:17:54,080 Speaker 1: one randomized controlled trials looking at what is the main 372 00:17:54,200 --> 00:17:56,760 Speaker 1: determined of whether your cholesterol goes up or not on 373 00:17:56,840 --> 00:17:59,480 Speaker 1: a on a low carb diet and the number one 374 00:17:59,520 --> 00:18:02,080 Speaker 1: factor will is how lean you are. If you get 375 00:18:02,200 --> 00:18:05,359 Speaker 1: leaner and leaner, your cholesterol goes up. If you're obese, 376 00:18:05,400 --> 00:18:08,240 Speaker 1: your cholesterol will go down. And so the question is 377 00:18:09,359 --> 00:18:11,320 Speaker 1: you know there's something to go to lipid energy model, 378 00:18:11,359 --> 00:18:15,159 Speaker 1: which describes that as we are less full of energy, 379 00:18:15,200 --> 00:18:16,679 Speaker 1: Like if I've got a bunch of stored energy on 380 00:18:16,720 --> 00:18:19,280 Speaker 1: my body, I can use that. If I have low 381 00:18:19,320 --> 00:18:22,080 Speaker 1: stored energy on my body, low body fat, little liver glycogen, 382 00:18:22,560 --> 00:18:24,960 Speaker 1: then in order to feed the cells in my body, 383 00:18:25,520 --> 00:18:28,800 Speaker 1: the liver has to dump more flux of fat into 384 00:18:28,840 --> 00:18:30,719 Speaker 1: the blitzroom. So that's why you're picking us up. Now. 385 00:18:30,720 --> 00:18:34,720 Speaker 1: The question is is that actually harmful? I'd say the 386 00:18:34,760 --> 00:18:37,439 Speaker 1: real answer is we don't know for sure. However, there 387 00:18:37,440 --> 00:18:39,960 Speaker 1: are studies out there right now that on one that 388 00:18:39,960 --> 00:18:43,480 Speaker 1: Matt Bootoff is doing at UCLA clearly has shown that 389 00:18:43,520 --> 00:18:45,720 Speaker 1: they took up cohort of one hundred people with I 390 00:18:45,720 --> 00:18:49,040 Speaker 1: mean ridiculously high LDL choluster. We're talking about LDL cholesterol 391 00:18:49,160 --> 00:18:52,600 Speaker 1: three hundred four hundred. LDL is the quote unquote considered 392 00:18:52,600 --> 00:18:56,000 Speaker 1: the bad cholesterol so super high like the normal that 393 00:18:56,040 --> 00:18:57,560 Speaker 1: they want want you to keep it under is like 394 00:18:57,600 --> 00:18:59,360 Speaker 1: under one hundred and forty some people want that under 395 00:18:59,400 --> 00:19:02,080 Speaker 1: a hundred some people with diabetes and under seventy five. 396 00:19:02,359 --> 00:19:04,720 Speaker 1: These people are walking around with LDL cholesterols in excess 397 00:19:04,760 --> 00:19:07,480 Speaker 1: of five hundred for years and years and years. And 398 00:19:07,480 --> 00:19:11,600 Speaker 1: they did high level, very precise ct and giography on 399 00:19:11,640 --> 00:19:14,960 Speaker 1: these people and what they found was compared to an 400 00:19:14,960 --> 00:19:17,959 Speaker 1: age match you know, health match group, they actually had 401 00:19:18,080 --> 00:19:22,160 Speaker 1: less heart disease than people that didn't have high oldel cholesterol. 402 00:19:22,160 --> 00:19:24,639 Speaker 1: So it's kind of interesting. You're seeing, we're starting to 403 00:19:24,640 --> 00:19:27,480 Speaker 1: see where the nuance is. And so while I can't 404 00:19:27,480 --> 00:19:29,960 Speaker 1: sit there and say we should ignore LDL cholesterol, I 405 00:19:30,000 --> 00:19:32,879 Speaker 1: would say there are other things that impact that that 406 00:19:33,080 --> 00:19:37,000 Speaker 1: may mitigate or exascer you know, or increase the likeli 407 00:19:37,119 --> 00:19:39,640 Speaker 1: of having a negative outcome. And I think we're gonna 408 00:19:39,640 --> 00:19:41,960 Speaker 1: ge We're gonna get more native's coming out here very 409 00:19:42,080 --> 00:19:42,600 Speaker 1: very shortly. 410 00:19:42,680 --> 00:19:45,000 Speaker 2: I think I heard you talk about this on Joe Rogan, 411 00:19:45,080 --> 00:19:46,480 Speaker 2: I think it was, and you were talking about like 412 00:19:46,520 --> 00:19:49,159 Speaker 2: the cookie test or the oreo test or something right right, 413 00:19:49,240 --> 00:19:51,560 Speaker 2: right right, change the amount of cholesterol that was being 414 00:19:51,600 --> 00:19:56,040 Speaker 2: dumped into your blood strength something like that. So there's 415 00:19:56,080 --> 00:19:59,120 Speaker 2: also a health risk of having two low cholesterol, right, 416 00:19:59,200 --> 00:20:02,480 Speaker 2: So does that lower your testosterone levels prevents your skin 417 00:20:02,600 --> 00:20:03,359 Speaker 2: from converbionce? 418 00:20:03,440 --> 00:20:07,399 Speaker 1: Yeah, yeah, I mean cholesterol. I mean cholesterol is a 419 00:20:07,480 --> 00:20:10,080 Speaker 1: scaffolding from which all your sex hormones are built on. 420 00:20:10,359 --> 00:20:13,800 Speaker 1: Vitamin D is built on we know at least associationally, 421 00:20:13,800 --> 00:20:16,240 Speaker 1: and again there's all the caveats about associational data not 422 00:20:16,280 --> 00:20:19,200 Speaker 1: necessarily being causal, but we know people with very low 423 00:20:19,280 --> 00:20:22,560 Speaker 1: cholesterol more likely to have suicide, more likely to be violent, 424 00:20:22,600 --> 00:20:27,120 Speaker 1: more likely to be depressed, questionably, more likely to have dementia, 425 00:20:27,240 --> 00:20:29,800 Speaker 1: you know, all cause mortality. If we look at those tables, 426 00:20:30,119 --> 00:20:33,440 Speaker 1: that's clearly seen, like we see study after study, if 427 00:20:33,440 --> 00:20:35,920 Speaker 1: you have very low cholesterol, you're more likely to die. 428 00:20:35,920 --> 00:20:38,640 Speaker 1: Now the caveat to that as many people say, well, 429 00:20:38,640 --> 00:20:41,959 Speaker 1: that's reverse causality. That is to say that it's not 430 00:20:42,000 --> 00:20:43,960 Speaker 1: that your cholesterol is low that you got cancers. You 431 00:20:44,040 --> 00:20:47,400 Speaker 1: got cancer. That's why your cholesterol as well. Because remember cholesterol, 432 00:20:47,760 --> 00:20:51,080 Speaker 1: well maybe you don't know this, but cholesterol actually participates 433 00:20:51,200 --> 00:20:54,359 Speaker 1: in our immune system. It's necessary for immune function. So 434 00:20:54,400 --> 00:20:57,600 Speaker 1: when it's too low, potentially you know, and we do. 435 00:20:57,680 --> 00:21:00,080 Speaker 1: We see people with low cholesterol have worse outcomes. When 436 00:21:00,080 --> 00:21:02,840 Speaker 1: it comes to infectious disease, you get an infection, you 437 00:21:02,840 --> 00:21:04,760 Speaker 1: get septic in the hospital. If you got low cholesterol 438 00:21:05,640 --> 00:21:08,239 Speaker 1: going in, you're like less likely to survive that. So 439 00:21:08,320 --> 00:21:10,400 Speaker 1: I mean it's there is a risk for that. Now, 440 00:21:11,000 --> 00:21:13,560 Speaker 1: they will use this sort of thing called by a 441 00:21:13,880 --> 00:21:16,840 Speaker 1: beta lipoproteinemia, which is a genetic condition where people have 442 00:21:17,240 --> 00:21:19,280 Speaker 1: low cholesterol and they don't die right away, they don't 443 00:21:19,280 --> 00:21:22,359 Speaker 1: die erectly, and they'll say that's that's justification for lowering 444 00:21:22,400 --> 00:21:24,520 Speaker 1: this stuff as low as possible. I mean, I mean, 445 00:21:24,560 --> 00:21:26,879 Speaker 1: if you can get your cholesterol to zero, you probably 446 00:21:26,880 --> 00:21:29,159 Speaker 1: won't have heart disease. But I mean I'll be a 447 00:21:29,200 --> 00:21:31,560 Speaker 1: little well, yeah, I'll be a little vulgar here, but 448 00:21:31,600 --> 00:21:34,200 Speaker 1: I mean, if if you want to avoid sexually transmitted disease, 449 00:21:34,240 --> 00:21:37,160 Speaker 1: you could cut off your genitals and that would work too, 450 00:21:37,240 --> 00:21:38,840 Speaker 1: But it's not a very good it's not a very 451 00:21:38,840 --> 00:21:40,080 Speaker 1: good strategy. 452 00:21:40,880 --> 00:21:46,919 Speaker 2: Yeah. Now, what about the people who would say that 453 00:21:47,040 --> 00:21:49,240 Speaker 2: you need to have fiber in your diet. Though I've 454 00:21:49,240 --> 00:21:50,879 Speaker 2: been told that so many times, I don't have a 455 00:21:50,920 --> 00:21:52,639 Speaker 2: good answer for that other than well, it seems to 456 00:21:52,680 --> 00:21:53,440 Speaker 2: be working pretty. 457 00:21:53,200 --> 00:21:54,399 Speaker 1: Good for me, right, Well, I mean it kind of 458 00:21:54,440 --> 00:21:55,760 Speaker 1: is what it is. You don't need fiber. I mean, 459 00:21:55,800 --> 00:21:59,000 Speaker 1: fiber is a conditionally beneficial I wouldn't even call it 460 00:21:59,040 --> 00:22:01,720 Speaker 1: a nutrient. I mean, you know, we see again a 461 00:22:01,760 --> 00:22:04,760 Speaker 1: lot of associational data that shows that people that consume 462 00:22:04,800 --> 00:22:07,520 Speaker 1: more fiber live longer, they have less heart disease, they 463 00:22:07,560 --> 00:22:09,960 Speaker 1: have little rates of cancer in some instances, and I 464 00:22:10,000 --> 00:22:11,760 Speaker 1: think that data is clear. But I think really what 465 00:22:11,800 --> 00:22:15,600 Speaker 1: we're seeing with fiber is really just a proxy measure 466 00:22:15,720 --> 00:22:18,800 Speaker 1: for dietary quality. That is to say, if I'm eating 467 00:22:18,840 --> 00:22:24,200 Speaker 1: fruits and vegetables, which interestingly just jump onto this aside 468 00:22:24,200 --> 00:22:28,160 Speaker 1: real quick, fiber tends to prevent you from absorbing nutrition. 469 00:22:28,560 --> 00:22:30,440 Speaker 1: So there's a study a great Today from nineteen seventy 470 00:22:30,480 --> 00:22:31,880 Speaker 1: eight where they look at people in a high fiber 471 00:22:31,920 --> 00:22:34,000 Speaker 1: diet versus a very low fiber diet, and they found 472 00:22:34,000 --> 00:22:36,719 Speaker 1: the people in the high fiber diet lost twice as 473 00:22:36,760 --> 00:22:39,480 Speaker 1: much protein in their waste products. They lost twice as 474 00:22:39,520 --> 00:22:42,199 Speaker 1: much carbonhydrate, twice as much fat. So that nutrition that 475 00:22:42,240 --> 00:22:44,919 Speaker 1: you're eating ends up in the toilet, which is like, well, 476 00:22:44,960 --> 00:22:46,879 Speaker 1: that's kind of a waste of money in many ways. 477 00:22:46,920 --> 00:22:51,080 Speaker 1: But the fact that if you have a fiber rich diet, 478 00:22:51,160 --> 00:22:53,920 Speaker 1: you're probably less likely to be eating ultra process for 479 00:22:54,040 --> 00:22:57,119 Speaker 1: fine grains and flowers and sugar. It just displaces it 480 00:22:57,200 --> 00:23:00,560 Speaker 1: out of the way, you know. One of the is 481 00:23:00,680 --> 00:23:02,879 Speaker 1: one of the more recent thoughts around the benefits of 482 00:23:02,880 --> 00:23:05,240 Speaker 1: fire or are what does it do to our microbiome. 483 00:23:05,320 --> 00:23:09,200 Speaker 1: We get these bacteria in our gut that produce short 484 00:23:09,280 --> 00:23:12,280 Speaker 1: chain fatty acids. The most probably well known one is 485 00:23:13,040 --> 00:23:16,640 Speaker 1: buturic acid, and that seems to have a protective role 486 00:23:16,760 --> 00:23:20,040 Speaker 1: for the cells that line in the gut, the kalinocytes. Well. 487 00:23:20,400 --> 00:23:23,720 Speaker 1: Interestingly enough, and there's a great paper that doctor Tommy 488 00:23:23,760 --> 00:23:28,600 Speaker 1: Wood and Lucy Mailing Woods at the University Washing I 489 00:23:28,600 --> 00:23:30,680 Speaker 1: can't remember Lucy Mailing is, but they collaborated on a 490 00:23:30,720 --> 00:23:32,760 Speaker 1: paper and we're talking about the metabolock flexibility of the 491 00:23:32,800 --> 00:23:35,760 Speaker 1: gut and what it clearly shows is you can get 492 00:23:35,800 --> 00:23:39,040 Speaker 1: that same effect those same short chain fatty acids from 493 00:23:39,359 --> 00:23:42,520 Speaker 1: consuming protein. Protein certainly does that also for me in 494 00:23:42,520 --> 00:23:47,679 Speaker 1: a low carbon stape because you're now producing these keytone bodies, 495 00:23:47,720 --> 00:23:50,120 Speaker 1: and the keytone bodies do the exact same thing. In fact, 496 00:23:50,160 --> 00:23:54,520 Speaker 1: the keytone bodies hydroxy beta, hydroxy butyrate and buturic acid 497 00:23:54,800 --> 00:23:58,080 Speaker 1: are almost identical molecules, and it's a very quick reaction 498 00:23:58,400 --> 00:24:00,560 Speaker 1: where they're reversible, So they. 499 00:24:00,400 --> 00:24:01,920 Speaker 2: Do the same thing as what the key tones. 500 00:24:02,520 --> 00:24:04,200 Speaker 1: The key totnes are the same thing as the short 501 00:24:04,280 --> 00:24:07,639 Speaker 1: chain fatty acids that the fiber produces from fermentation in 502 00:24:07,680 --> 00:24:10,680 Speaker 1: the gut. And what I see with regard to gut health, 503 00:24:10,720 --> 00:24:15,280 Speaker 1: whether you have IBS, irritable bowel syndrome, or inflammatory billaci, 504 00:24:15,280 --> 00:24:19,760 Speaker 1: these worth the crones crones, these are also colitis. By 505 00:24:19,840 --> 00:24:24,399 Speaker 1: going carnivore and removing fiber from the diet, literally people 506 00:24:24,440 --> 00:24:26,760 Speaker 1: have the best gut health of their life. I mean 507 00:24:26,760 --> 00:24:29,880 Speaker 1: they feel so much better. They no longer have the pain, 508 00:24:30,000 --> 00:24:34,840 Speaker 1: the diarrhea, the bloody, bloody stools, the bloating. It just normalizes. 509 00:24:35,040 --> 00:24:37,159 Speaker 1: And in fact, I was a guy here at that's conference, 510 00:24:37,359 --> 00:24:40,480 Speaker 1: says bred Ender. He put his ulcer of colitis that 511 00:24:40,520 --> 00:24:43,760 Speaker 1: he was on you know years of this, you know, 512 00:24:43,840 --> 00:24:46,840 Speaker 1: sixty seventy thousand dollars a year of infusion medications, these 513 00:24:46,960 --> 00:24:50,080 Speaker 1: immuno suppressive drugs. He was able to come off completely. 514 00:24:50,440 --> 00:24:52,720 Speaker 1: Goes Carnival. He's like, it's never come back. 515 00:24:54,560 --> 00:24:57,680 Speaker 2: Yeah, I've seen amazing things. I haven't had any big 516 00:24:57,720 --> 00:24:59,800 Speaker 2: conditions to come off of. But I've seen i' seen 517 00:24:59,800 --> 00:25:04,080 Speaker 2: other people. Now, what about the quality of the meat 518 00:25:04,080 --> 00:25:06,240 Speaker 2: that you eat? So like with safety and for example, 519 00:25:06,280 --> 00:25:07,919 Speaker 2: he's like, oh, I just go through McDonald's. I'll just 520 00:25:07,960 --> 00:25:10,560 Speaker 2: get a bunch of patties by themselves. I'll just get 521 00:25:10,600 --> 00:25:12,840 Speaker 2: six or eight patties and just chow that down. But 522 00:25:12,880 --> 00:25:15,600 Speaker 2: I think that seems like really bad meat. Is there 523 00:25:15,640 --> 00:25:18,159 Speaker 2: something where the meat sort of filters out, maybe the 524 00:25:18,160 --> 00:25:20,480 Speaker 2: antibiotics or the ZMO grain. 525 00:25:20,359 --> 00:25:23,000 Speaker 1: They Yeah, so with particularly with regard to beef, So 526 00:25:23,040 --> 00:25:26,200 Speaker 1: the way animal, you know, animal diesin. You know, we've 527 00:25:26,200 --> 00:25:29,760 Speaker 1: got roominant animals, cows, sheep, deer, elk, things like that 528 00:25:29,800 --> 00:25:33,640 Speaker 1: where they have these sort of four chambered digestive stomachs, 529 00:25:33,640 --> 00:25:36,119 Speaker 1: if you will, versus a model gasri which would be 530 00:25:36,119 --> 00:25:37,679 Speaker 1: a chicken or a pig, which is where you know, 531 00:25:37,720 --> 00:25:40,240 Speaker 1: most of our most of the food we're gonna eat beef, chicken, 532 00:25:40,800 --> 00:25:45,480 Speaker 1: or pork typically here at least in the US. What 533 00:25:45,560 --> 00:25:47,879 Speaker 1: we know is that particularly when it comes to beef. 534 00:25:48,119 --> 00:25:50,160 Speaker 1: And I'm a big big I'm wearing a shirt says 535 00:25:50,160 --> 00:25:54,000 Speaker 1: he'd beef be happy. I'm a big beef guy. That 536 00:25:54,000 --> 00:25:58,240 Speaker 1: that meat irrespective of how it's finished, generally is pretty 537 00:25:58,240 --> 00:26:00,440 Speaker 1: healthy for people. I mean what I first time the 538 00:26:00,480 --> 00:26:03,120 Speaker 1: road image at the end or whole, Well, I mean 539 00:26:03,119 --> 00:26:05,600 Speaker 1: it's really the differences are at the end, because all 540 00:26:05,680 --> 00:26:08,280 Speaker 1: cows start out on grass and pastor. In the United States, 541 00:26:08,280 --> 00:26:10,480 Speaker 1: every cow in fact, right now they are about ninety 542 00:26:10,480 --> 00:26:12,280 Speaker 1: million head of cattle in the unit the United States. 543 00:26:12,560 --> 00:26:14,800 Speaker 1: Eighty five percent of them right now today are sitting 544 00:26:14,800 --> 00:26:18,320 Speaker 1: on pasture and grass. That's just the reality of the system. Now, 545 00:26:18,600 --> 00:26:20,720 Speaker 1: fifteen percent of them are currently finishing out at a 546 00:26:20,720 --> 00:26:23,880 Speaker 1: feed lot. You know, that's going to be a large 547 00:26:23,920 --> 00:26:26,160 Speaker 1: percentage of cows eventually end up there and they'll be fed. 548 00:26:26,800 --> 00:26:30,720 Speaker 1: You know, they'll continue to consume grass and forage to that. 549 00:26:31,040 --> 00:26:36,120 Speaker 1: You know, certain agricultural grain products are at sometimes corn, 550 00:26:36,240 --> 00:26:39,760 Speaker 1: sometimes it's barley, depending on what region they're in. But 551 00:26:40,320 --> 00:26:44,320 Speaker 1: the reality is that you can go to the grocery 552 00:26:44,320 --> 00:26:46,920 Speaker 1: store and buy hamburgers and you're fine. I've seen people 553 00:26:47,000 --> 00:26:50,199 Speaker 1: put diabetes in remission. I've seen people put bipolar disorder 554 00:26:50,200 --> 00:26:53,360 Speaker 1: into our mission. I've seen people put multiple sclerosis into 555 00:26:53,680 --> 00:26:58,040 Speaker 1: remission by doing that. Now, the difference really lies with 556 00:26:58,400 --> 00:27:01,600 Speaker 1: the environmental impact, because I think that's where the differences 557 00:27:01,600 --> 00:27:03,720 Speaker 1: come in. It's not so much the human health side, 558 00:27:03,760 --> 00:27:08,119 Speaker 1: or at least it's not a significant difference. Filled by 559 00:27:08,160 --> 00:27:10,920 Speaker 1: the name of Stefan von Vliet who's at University of Utah, 560 00:27:11,040 --> 00:27:15,440 Speaker 1: Fred Pravenza at Duke have looked into the nutritional differences 561 00:27:15,440 --> 00:27:17,160 Speaker 1: between and there are there clearly are. You can look 562 00:27:17,200 --> 00:27:20,560 Speaker 1: at grass finished or regeneratively finished, which is probably a 563 00:27:20,560 --> 00:27:24,160 Speaker 1: better even a better word, versus you know, the typical 564 00:27:24,200 --> 00:27:27,240 Speaker 1: feed lot finished things. There are nutritional differences, for sure, 565 00:27:27,359 --> 00:27:31,159 Speaker 1: no doubt. However, the clinical outcomes we're seeing have not 566 00:27:31,280 --> 00:27:34,240 Speaker 1: been significantly difference. Harvard did a study on this back 567 00:27:34,240 --> 00:27:37,800 Speaker 1: in twenty twenty one. I asked that the researchers specifically 568 00:27:37,840 --> 00:27:40,800 Speaker 1: ask about grain finished versus grass finished. They did, The 569 00:27:40,800 --> 00:27:42,920 Speaker 1: outcomes weren't any different. I've got data on about twelve 570 00:27:42,920 --> 00:27:45,640 Speaker 1: thousand people showed the same thing. So while I am 571 00:27:46,240 --> 00:27:49,600 Speaker 1: very supportive of finishing animals and pasturing them in a 572 00:27:49,680 --> 00:27:51,840 Speaker 1: very regenerative way, and I think we should do a 573 00:27:51,880 --> 00:27:53,760 Speaker 1: heck of a lot more of that, I don't think 574 00:27:53,800 --> 00:27:55,600 Speaker 1: people feel like they have to do it that way 575 00:27:55,680 --> 00:27:57,439 Speaker 1: to get the health results, because that's not been the. 576 00:27:58,640 --> 00:28:01,679 Speaker 2: It's sort of it's a little bit better, but you 577 00:28:01,680 --> 00:28:03,080 Speaker 2: don't really see it in the health. Yeah. 578 00:28:03,119 --> 00:28:04,600 Speaker 1: Like when I was first on Rogue and I was talking, 579 00:28:04,720 --> 00:28:07,800 Speaker 1: I gave kind of the UFC you know, grass finished beef, 580 00:28:07,960 --> 00:28:10,920 Speaker 1: UFC World champ Grain Finish is like the number two 581 00:28:10,920 --> 00:28:14,200 Speaker 1: contender guy. I mean, they're still very very high level foods. 582 00:28:14,240 --> 00:28:16,159 Speaker 2: So you would be fine going to McDonald's. 583 00:28:17,000 --> 00:28:19,840 Speaker 1: I would, and I mean, well grab those, I would. 584 00:28:19,880 --> 00:28:22,040 Speaker 1: I'd go to Windys and Steaks. I think it tastes better, but. 585 00:28:22,000 --> 00:28:23,960 Speaker 2: I mean yeah, I mean I assume you're getting real meat. 586 00:28:24,359 --> 00:28:26,960 Speaker 1: Yeah, I mean, and you know that's the concern a 587 00:28:26,960 --> 00:28:28,399 Speaker 1: lot of people is, oh, it's cooked in these all 588 00:28:28,400 --> 00:28:30,800 Speaker 1: these crazy oils. And you know, if you go to 589 00:28:30,880 --> 00:28:32,800 Speaker 1: these restaurants and you ask them, they're like, no, we 590 00:28:32,800 --> 00:28:35,040 Speaker 1: don't use oils. And the reason for that is is 591 00:28:35,040 --> 00:28:37,440 Speaker 1: because it's a waste of money. Why before he has 592 00:28:37,560 --> 00:28:39,480 Speaker 1: fat it it doesn't need that. Now I've eat the 593 00:28:39,480 --> 00:28:41,680 Speaker 1: French fries, yeah, you're gonna get all the crappy soybean 594 00:28:41,720 --> 00:28:44,440 Speaker 1: oil and all that stuff. So I'm I don't do 595 00:28:44,520 --> 00:28:46,840 Speaker 1: that regularly, but if I'm traveling or something like that, 596 00:28:46,880 --> 00:28:48,840 Speaker 1: if I'm on a road, if the airport, I'm like, man, 597 00:28:48,840 --> 00:28:50,920 Speaker 1: it's just between this and not eating. Yeah, I'll go 598 00:28:50,920 --> 00:28:52,920 Speaker 1: there and grab a grab a burger patty for penalttle 599 00:28:52,920 --> 00:28:53,680 Speaker 1: burger time for. 600 00:28:53,640 --> 00:28:56,120 Speaker 2: Sure, and so and then on the steak like grass fed, 601 00:28:56,160 --> 00:28:59,360 Speaker 2: grass finished, grass fed, grain finished, both, yeah. 602 00:28:59,160 --> 00:29:01,360 Speaker 1: Both, I mean, you know, I mean there's there's only 603 00:29:02,600 --> 00:29:06,240 Speaker 1: you know, grass finished and there's grain finished. Those are 604 00:29:06,320 --> 00:29:09,360 Speaker 1: two options. I mean, everything is grass fed at some point, 605 00:29:09,400 --> 00:29:11,840 Speaker 1: Like I said, every cow that starts out is going 606 00:29:11,920 --> 00:29:15,080 Speaker 1: to start on grass for but six, eight, nine, ten months. 607 00:29:15,080 --> 00:29:18,040 Speaker 2: But steak from Costco or the grocery store versus having 608 00:29:18,080 --> 00:29:20,240 Speaker 2: my rancho ship at to me from Texas. 609 00:29:19,840 --> 00:29:22,320 Speaker 1: I'll eat either of them. And I have and I 610 00:29:22,360 --> 00:29:27,520 Speaker 1: can't say that I personally have seen any significant personal differences, 611 00:29:27,640 --> 00:29:32,640 Speaker 1: you know, for me. But there are people, you know, again, 612 00:29:32,800 --> 00:29:35,240 Speaker 1: I've interacted with literally thousands of people at this point. 613 00:29:35,240 --> 00:29:37,720 Speaker 1: They've done this dot. There are people clearly that will 614 00:29:37,760 --> 00:29:42,160 Speaker 1: say I feel better when I only eat grass finished products. Conversely, 615 00:29:42,200 --> 00:29:44,040 Speaker 1: there people saying I feel better on grain finished problem. 616 00:29:44,080 --> 00:29:45,680 Speaker 1: So I think it's kind of personalized at that point. 617 00:29:45,720 --> 00:29:48,480 Speaker 2: For me, the grass fed grass finished is just a 618 00:29:48,480 --> 00:29:50,600 Speaker 2: little too tough and it loses a lot of the flavors. 619 00:29:50,640 --> 00:29:53,800 Speaker 1: Well, it's harder to finish those animals out I talked 620 00:29:53,800 --> 00:29:55,959 Speaker 1: to ranches. It takes more skill, it takes more time. 621 00:29:56,840 --> 00:29:58,600 Speaker 1: You may not be able to do it everywhere in 622 00:29:58,640 --> 00:30:02,080 Speaker 1: every location just because of the climate. Grain finishing is 623 00:30:02,120 --> 00:30:03,960 Speaker 1: pretty much down to a science. It's pretty easy. I 624 00:30:03,960 --> 00:30:06,360 Speaker 1: mean they've got that, they've got that built into the system. 625 00:30:06,720 --> 00:30:08,960 Speaker 1: So I mean that's you know, at least you know 626 00:30:09,000 --> 00:30:11,280 Speaker 1: you're gonna get a well marble piece of steak that's 627 00:30:11,280 --> 00:30:13,800 Speaker 1: gonna give you enough fat, because when you're not consuming carbohydrates, 628 00:30:14,080 --> 00:30:15,840 Speaker 1: you got it fat. I mean, as you know. I mean, 629 00:30:15,920 --> 00:30:17,880 Speaker 1: otherwise you'll be like hungry all the time. You have 630 00:30:17,920 --> 00:30:18,520 Speaker 1: no energy. 631 00:30:19,280 --> 00:30:21,920 Speaker 2: And for you, you don't do eggs and cheese or 632 00:30:21,960 --> 00:30:22,280 Speaker 2: any of that. 633 00:30:22,360 --> 00:30:23,920 Speaker 1: No, I do, I do from time to time. I 634 00:30:23,960 --> 00:30:26,800 Speaker 1: mean I've, like I said, I've gone eight years now 635 00:30:26,840 --> 00:30:31,120 Speaker 1: eating ninety five percent of my diet has been basically beef. 636 00:30:31,320 --> 00:30:34,160 Speaker 1: I mean that's literally it. Another five percent will be 637 00:30:34,720 --> 00:30:36,520 Speaker 1: sometimes I'll have agg Sometimes I feel like you'll have 638 00:30:36,560 --> 00:30:37,960 Speaker 1: a I'll have a half dozen eggs are in the air. 639 00:30:38,320 --> 00:30:40,760 Speaker 1: Sometimes I'll hold it the cheese. But I mean that's 640 00:30:41,160 --> 00:30:42,480 Speaker 1: you know, fish every occasionally. 641 00:30:42,520 --> 00:30:44,200 Speaker 2: Do you ever have like a special occasion and have 642 00:30:44,240 --> 00:30:45,160 Speaker 2: like a bited cheese scate? 643 00:30:45,240 --> 00:30:46,680 Speaker 1: Yeah, I mean I have. I have it once and 644 00:30:46,920 --> 00:30:49,600 Speaker 1: like my kid's birthday. I mean that happens a couple 645 00:30:49,600 --> 00:30:51,000 Speaker 1: of times a year, one or two times a year. 646 00:30:51,000 --> 00:30:53,880 Speaker 1: But it's it's it's so insignificant. It's not really any 647 00:30:53,920 --> 00:30:56,480 Speaker 1: meaningful part of my diet. It's not like I'm every 648 00:30:56,520 --> 00:30:59,560 Speaker 1: day I'm consuming you know, three pieces of fruit, just 649 00:30:59,560 --> 00:31:02,320 Speaker 1: a balance. I'm pretty much I just eat a bunch 650 00:31:02,360 --> 00:31:05,160 Speaker 1: of meat and eggs and that's pretty much it for 651 00:31:06,000 --> 00:31:07,400 Speaker 1: you of the time. 652 00:31:07,760 --> 00:31:10,560 Speaker 2: So I've been doing it. It's to me it's the 653 00:31:10,560 --> 00:31:12,880 Speaker 2: easiest thing. I think for me, though, I've learned to 654 00:31:12,880 --> 00:31:15,280 Speaker 2: think about food as energy and like I'm just trying 655 00:31:15,280 --> 00:31:16,760 Speaker 2: to and so I kind of eat the same thing 656 00:31:16,800 --> 00:31:18,400 Speaker 2: every day at lunch and dinner, and like, I just 657 00:31:18,520 --> 00:31:19,800 Speaker 2: like that because I try to take all the decisions 658 00:31:19,800 --> 00:31:22,239 Speaker 2: out of my life. So for me, it's great. But 659 00:31:22,440 --> 00:31:24,160 Speaker 2: for a lot of people you had said earlier, they 660 00:31:24,200 --> 00:31:26,320 Speaker 2: have to kind of rethink the way they think about food. 661 00:31:26,360 --> 00:31:28,680 Speaker 2: They're addiction to food, and so I'm just curious, you know, 662 00:31:28,720 --> 00:31:31,120 Speaker 2: for everybody listening here that goes, Wow, it sounds pretty cool, 663 00:31:31,360 --> 00:31:33,560 Speaker 2: sounds great, but I could never do that. So what 664 00:31:33,600 --> 00:31:36,400 Speaker 2: do you think is the biggest obstacle that holds people 665 00:31:36,440 --> 00:31:38,680 Speaker 2: back from being able to Just because the diet is 666 00:31:38,720 --> 00:31:40,200 Speaker 2: so simple, you could just go to Wendy's and just 667 00:31:40,200 --> 00:31:42,000 Speaker 2: get a patty. It's like, it's the easiest thing in 668 00:31:42,040 --> 00:31:45,160 Speaker 2: the world. What advice do you have for people who 669 00:31:45,160 --> 00:31:46,800 Speaker 2: would want to try it but think they couldn't do that? 670 00:31:47,000 --> 00:31:49,520 Speaker 1: Yeah, I mean it's surprising. It's surprising because you think, 671 00:31:49,720 --> 00:31:51,479 Speaker 1: when when I first have heard about this thing, like 672 00:31:51,480 --> 00:31:53,280 Speaker 1: ten years ago, there was crazy people eating all me. 673 00:31:53,320 --> 00:31:55,640 Speaker 1: I thought it was nuts. I literally did, And so 674 00:31:55,760 --> 00:31:58,440 Speaker 1: I tried it and you know, I was able to 675 00:31:58,440 --> 00:32:02,120 Speaker 1: do it for a month and was so eye opening, 676 00:32:02,240 --> 00:32:04,080 Speaker 1: how much better I felt that. I was like, there's 677 00:32:04,120 --> 00:32:06,160 Speaker 1: something here that's going to keep me doing this now. 678 00:32:06,720 --> 00:32:09,560 Speaker 1: Truth be told, I don't think of it as this 679 00:32:09,600 --> 00:32:11,200 Speaker 1: is something I'm going to do the rest of my life. 680 00:32:11,280 --> 00:32:12,800 Speaker 1: I might. I may, I don't know. I mean, I'm 681 00:32:12,800 --> 00:32:14,560 Speaker 1: eight years into this. There's a very good chance I might. 682 00:32:14,600 --> 00:32:18,640 Speaker 1: But I don't pigeonhole myself into that sort of ideology. 683 00:32:18,760 --> 00:32:21,320 Speaker 1: It's not ideology based, and I think if you think 684 00:32:21,320 --> 00:32:23,120 Speaker 1: about it, you know, if you have a reason to 685 00:32:23,160 --> 00:32:24,760 Speaker 1: do it. I mean if there's no if you're healthy 686 00:32:24,800 --> 00:32:27,320 Speaker 1: and fine and happy and everything feels great, hey, there's 687 00:32:27,320 --> 00:32:30,040 Speaker 1: no reason to change things. But if you're sick and suffering, 688 00:32:30,120 --> 00:32:32,320 Speaker 1: or if you're just curious if you could feel better, 689 00:32:33,040 --> 00:32:35,320 Speaker 1: it's worth doing for a couple of months, and you know, 690 00:32:35,360 --> 00:32:38,200 Speaker 1: you think about it. Most people do this, Like that 691 00:32:38,240 --> 00:32:40,240 Speaker 1: guy that had ulso of collasses. It took him two years, 692 00:32:40,520 --> 00:32:43,080 Speaker 1: he fixed his disease and now he has a diet 693 00:32:43,080 --> 00:32:44,880 Speaker 1: where he includes a lot of other foods in there. 694 00:32:44,920 --> 00:32:46,800 Speaker 1: I mean he's not eating junk, and he's not back 695 00:32:46,840 --> 00:32:49,520 Speaker 1: to that standard American garbage diet, but he's able to 696 00:32:49,520 --> 00:32:51,960 Speaker 1: have a more you know, robust and very dieting. In 697 00:32:52,000 --> 00:32:55,760 Speaker 1: our company, Rovero, I mean we literally take people. Some 698 00:32:55,760 --> 00:32:57,600 Speaker 1: people will put on a carnival diet, some we won't. 699 00:32:57,600 --> 00:32:59,520 Speaker 1: Some will just will just eliminate what we think is 700 00:32:59,560 --> 00:33:03,400 Speaker 1: most likely to be problematic for their particular condition based 701 00:33:03,400 --> 00:33:05,960 Speaker 1: on all the data we have. And you know, sometimes 702 00:33:06,000 --> 00:33:08,640 Speaker 1: people need to do it for three six months, you know, 703 00:33:08,680 --> 00:33:10,360 Speaker 1: and just think of it as a therapyic tool get 704 00:33:10,400 --> 00:33:12,840 Speaker 1: you where you want to be weight wise, health wise, 705 00:33:13,360 --> 00:33:15,200 Speaker 1: and then reassess and say, hey, can I add some 706 00:33:15,480 --> 00:33:17,640 Speaker 1: fruit backing? Can I add some rice? And can I 707 00:33:17,680 --> 00:33:20,560 Speaker 1: add some whole unprocessed foods back? And most people end 708 00:33:20,640 --> 00:33:21,120 Speaker 1: up doing that. 709 00:33:21,360 --> 00:33:21,959 Speaker 2: Yeah. 710 00:33:22,080 --> 00:33:22,280 Speaker 1: Yeah. 711 00:33:22,280 --> 00:33:24,920 Speaker 2: For me, it started with I read Tim Ferris's book 712 00:33:24,960 --> 00:33:27,680 Speaker 2: Tools for Titans, and he talked about how there was 713 00:33:27,720 --> 00:33:30,239 Speaker 2: like people would have this like breakthrough and they got 714 00:33:30,240 --> 00:33:33,040 Speaker 2: this light energy and like this brain fog would be lifted. 715 00:33:33,040 --> 00:33:34,960 Speaker 2: And I was like, ooh, I want that. I wanted 716 00:33:35,000 --> 00:33:37,720 Speaker 2: like that performance gain and it was from the intermittent fasting. 717 00:33:38,080 --> 00:33:40,280 Speaker 2: And I'm like, oh, that's tough. I really love breakfast. 718 00:33:40,280 --> 00:33:41,800 Speaker 2: I don't know if I could do that, but I 719 00:33:41,840 --> 00:33:44,360 Speaker 2: could do anything for two weeks. Do you try for 720 00:33:44,360 --> 00:33:47,240 Speaker 2: two weeks? And I haven't stopped. It's been a decade, 721 00:33:47,240 --> 00:33:49,200 Speaker 2: you know, and so maybe maybe people could just try 722 00:33:49,200 --> 00:33:50,600 Speaker 2: to like that bite sized chunk. And then it was 723 00:33:50,640 --> 00:33:52,400 Speaker 2: like okay, But then I eat lunch and then I 724 00:33:52,480 --> 00:33:54,080 Speaker 2: go downhill? So what's going on with my lunch? And 725 00:33:54,080 --> 00:33:55,040 Speaker 2: then it was like I kind of. 726 00:33:54,960 --> 00:33:56,320 Speaker 1: Picked the way at it, you know, Yeah, I mean 727 00:33:56,560 --> 00:33:58,640 Speaker 1: the way I started corner right. I literally did one meal. 728 00:33:58,760 --> 00:34:00,280 Speaker 1: I was like, I I woke up one more, and 729 00:34:00,280 --> 00:34:02,000 Speaker 1: I said, I'm gonna have steak and eggs for breakfast, 730 00:34:02,040 --> 00:34:03,680 Speaker 1: and I'm not gonna have a piece of toast. I'm 731 00:34:03,680 --> 00:34:05,000 Speaker 1: not gonna have some ores, I'm not gonna have a 732 00:34:05,040 --> 00:34:06,560 Speaker 1: couple of yoga and not kind have a piece of fruit. 733 00:34:07,360 --> 00:34:08,759 Speaker 1: And I got through the meal, I was like, you know, hey, 734 00:34:08,760 --> 00:34:10,720 Speaker 1: that wasn't that bad. Yeah, And then the next added 735 00:34:10,760 --> 00:34:12,759 Speaker 1: two meals, and I just kind of added on until 736 00:34:12,760 --> 00:34:15,239 Speaker 1: I got to a month and then, uh, you know, 737 00:34:15,960 --> 00:34:17,080 Speaker 1: I haven't looked back since then. 738 00:34:17,760 --> 00:34:19,759 Speaker 2: Now what about you know a lot of people on 739 00:34:19,800 --> 00:34:21,919 Speaker 2: the carnivore diet and back to the vegetables. So people 740 00:34:21,920 --> 00:34:23,480 Speaker 2: would say that you need to have vegetables, like you 741 00:34:23,480 --> 00:34:25,520 Speaker 2: need vitamin if you need the minerals things like that. 742 00:34:26,040 --> 00:34:28,480 Speaker 2: I think carnivores would say, well, you can get more 743 00:34:28,640 --> 00:34:33,520 Speaker 2: from that from from from cowparts, but more like livers 744 00:34:33,600 --> 00:34:35,359 Speaker 2: and organs and things like that. Yeah. 745 00:34:36,440 --> 00:34:38,560 Speaker 1: Well, I mean, if you want to look at the USRDA, 746 00:34:38,640 --> 00:34:40,920 Speaker 1: the recommended daily allowances of you know, how much vitamin 747 00:34:40,960 --> 00:34:44,000 Speaker 1: C and vitamin E and selenium and magnesium you're supposed 748 00:34:44,040 --> 00:34:45,680 Speaker 1: to get, you would look at the diet, you know, 749 00:34:45,760 --> 00:34:47,759 Speaker 1: particularly my not steak and eggs, you'd say there's some 750 00:34:47,840 --> 00:34:51,880 Speaker 1: there's some nutritional deficiencies there, and the reality is we 751 00:34:51,920 --> 00:34:55,239 Speaker 1: don't see that clinically appearing. But the other reality is 752 00:34:55,280 --> 00:34:58,360 Speaker 1: that like for instance, people say, oh, these vegetables and 753 00:34:58,440 --> 00:35:00,719 Speaker 1: first have all these quote unquote fighting nutrients in there. 754 00:35:00,719 --> 00:35:05,879 Speaker 1: They're so important, these tannins and polyphenols and stuff like that. Well, interestingly, 755 00:35:05,920 --> 00:35:09,680 Speaker 1: again Stefan van Vliet has done another study looking at 756 00:35:10,000 --> 00:35:12,800 Speaker 1: phyto nutrients that are found in beef, and actually beef 757 00:35:12,880 --> 00:35:15,680 Speaker 1: has a tremendous amount of fighter nutrients we never really 758 00:35:15,719 --> 00:35:18,120 Speaker 1: discussed before because we thought what was getting from the vegetables. 759 00:35:18,920 --> 00:35:21,640 Speaker 1: Cows have a much more diverse diet than I could 760 00:35:21,640 --> 00:35:23,200 Speaker 1: ever consume as a human being. They can go out 761 00:35:23,200 --> 00:35:26,080 Speaker 1: there and eat grass and weeds and leaves and everything 762 00:35:26,120 --> 00:35:28,600 Speaker 1: that would make me sick. Because they have such a 763 00:35:28,680 --> 00:35:32,919 Speaker 1: diverse diet, those polyphenols and those other phio nutrients show 764 00:35:32,960 --> 00:35:34,560 Speaker 1: up in there, in there, in their flesh, in their 765 00:35:34,600 --> 00:35:37,680 Speaker 1: in their fat and their meat, and they're biol they're 766 00:35:37,719 --> 00:35:40,200 Speaker 1: very by available to us. So we actually get vegetables 767 00:35:40,239 --> 00:35:41,799 Speaker 1: from eating the cow that already ate them for us. 768 00:35:41,880 --> 00:35:43,680 Speaker 2: The plant based diet is the cow eats the plant yeah, 769 00:35:43,719 --> 00:35:46,200 Speaker 2: the cow cow eats the plants, they actually retain a 770 00:35:46,200 --> 00:35:48,040 Speaker 2: lot of those nutrients and then we get them and 771 00:35:48,080 --> 00:35:49,440 Speaker 2: it's more bioavailable for us. 772 00:35:49,480 --> 00:35:53,040 Speaker 1: Remember, plants are harder for us to dies. That's one 773 00:35:53,080 --> 00:35:54,799 Speaker 1: reason why plant based diets a lot of people will 774 00:35:54,840 --> 00:35:58,120 Speaker 1: lose weight on is because they literally cannot absorb the nutrition. 775 00:35:58,440 --> 00:36:01,000 Speaker 1: So again, like I said earlier, you're just crapping it 776 00:36:01,040 --> 00:36:02,560 Speaker 1: all out in the toilet. So it's you know, it's 777 00:36:02,560 --> 00:36:03,920 Speaker 1: a great way to lose weight, but it's kind of 778 00:36:03,920 --> 00:36:05,440 Speaker 1: it's kind of not very cost effective. 779 00:36:05,880 --> 00:36:07,920 Speaker 2: So I guess the question I'm asking is it important 780 00:36:07,920 --> 00:36:12,360 Speaker 2: to eat the livers and the kidneys, And. 781 00:36:11,960 --> 00:36:15,480 Speaker 1: Again that's a that's an assumption people make based on 782 00:36:15,719 --> 00:36:17,600 Speaker 1: what you need to get to the us RDA. So 783 00:36:17,640 --> 00:36:19,040 Speaker 1: like if you said I'm going to get us are 784 00:36:19,080 --> 00:36:21,560 Speaker 1: da of vitamin C sixty million rams a day or 785 00:36:21,560 --> 00:36:23,879 Speaker 1: something like that, You're like, you're gonna have a hard 786 00:36:23,920 --> 00:36:25,719 Speaker 1: time getting that from steak. You'd have to eat like 787 00:36:26,480 --> 00:36:28,600 Speaker 1: fifteen pounds of steak, which is no one's going to 788 00:36:28,640 --> 00:36:31,840 Speaker 1: do that, I mean outside some competitive eater. So the 789 00:36:31,960 --> 00:36:35,360 Speaker 1: question is what happens if you don't eat all that? Well, 790 00:36:35,520 --> 00:36:38,680 Speaker 1: the reality is we've not seen anybody with scurvy were 791 00:36:38,760 --> 00:36:40,920 Speaker 1: I mean literally is no one has had a legitimate, 792 00:36:40,920 --> 00:36:43,960 Speaker 1: bona fide case of scurvy. And now we've had if 793 00:36:44,000 --> 00:36:47,879 Speaker 1: not hundreds of thousands, you know, you know, at least 794 00:36:47,880 --> 00:36:50,480 Speaker 1: many tens of thousands people have done this that. And 795 00:36:51,320 --> 00:36:59,400 Speaker 1: the interesting thing is is that you know every like 796 00:36:59,600 --> 00:37:02,320 Speaker 1: every cell in my body. I mean, I use this analogy. 797 00:37:02,760 --> 00:37:05,680 Speaker 1: If I'm going to build a brick house, right and 798 00:37:05,760 --> 00:37:09,160 Speaker 1: I have an option to use straw and mud or 799 00:37:09,440 --> 00:37:11,719 Speaker 1: have bricks already built for me, I'd rather use the bricks. 800 00:37:11,719 --> 00:37:15,680 Speaker 1: It's more efficient, you know, every every like if if 801 00:37:15,719 --> 00:37:18,919 Speaker 1: you say the cells in my body require vitamin C, well, 802 00:37:19,080 --> 00:37:21,319 Speaker 1: by definition those cells have to contain it. If they 803 00:37:21,360 --> 00:37:23,359 Speaker 1: need it, they have to contain it. So we know 804 00:37:23,440 --> 00:37:26,440 Speaker 1: that everything you need to run an animal cell exists 805 00:37:26,440 --> 00:37:28,160 Speaker 1: within an animal So I know, it's kind of almost 806 00:37:28,200 --> 00:37:31,680 Speaker 1: a totalogy, you know. And so by consuming an adequate 807 00:37:31,760 --> 00:37:34,080 Speaker 1: number of atom animal cells, you give yourself all the 808 00:37:34,120 --> 00:37:37,160 Speaker 1: building materials you need. We also know that, you know, 809 00:37:38,560 --> 00:37:41,239 Speaker 1: like I mentioned, like even the US already eight now 810 00:37:41,360 --> 00:37:44,920 Speaker 1: now recognize it's like zinc, for instance, zinc, we have 811 00:37:45,000 --> 00:37:46,840 Speaker 1: a we have a certain rda of zinc we're supposed 812 00:37:46,840 --> 00:37:48,839 Speaker 1: to get every day. If we're eating fighty cast which 813 00:37:48,840 --> 00:37:51,600 Speaker 1: comes from grains and beans and some of these other 814 00:37:51,640 --> 00:37:53,960 Speaker 1: plant makes products, and we eat one gram of fighter 815 00:37:54,040 --> 00:37:56,880 Speaker 1: cast to today, that literally doubles our zinc requirement. If 816 00:37:56,880 --> 00:37:59,319 Speaker 1: we two grams, it triples a zinc requirement. And so 817 00:37:59,400 --> 00:38:02,480 Speaker 1: because we're not, you know, putting all those substances, which 818 00:38:02,520 --> 00:38:05,160 Speaker 1: are so called anti nutrients in there, we just don't 819 00:38:05,200 --> 00:38:08,960 Speaker 1: need as much stuff to make up for it. Like 820 00:38:09,000 --> 00:38:12,120 Speaker 1: everybody's magnesium deficient. You know, it's like, why is everybody magnesium? 821 00:38:12,120 --> 00:38:15,000 Speaker 1: What's the soils depleted magnesium? Well, one of the things 822 00:38:15,000 --> 00:38:18,239 Speaker 1: we know is magnesium is a cofactor for carbohydrate metabolism. 823 00:38:18,480 --> 00:38:22,000 Speaker 1: And so if you're constantly consuming sixty seventy percent carbs 824 00:38:22,440 --> 00:38:25,719 Speaker 1: and also you're having hard time absorbing magnesium because you 825 00:38:25,760 --> 00:38:28,759 Speaker 1: have these lectins and phytic acid in there, not only 826 00:38:28,880 --> 00:38:32,680 Speaker 1: you're having a hard time are absorbing magnesium, you're also 827 00:38:32,960 --> 00:38:35,960 Speaker 1: you can't absorb you can't you have a higher requirement 828 00:38:36,000 --> 00:38:38,200 Speaker 1: for it, and so it's kind of a double whammy. 829 00:38:38,280 --> 00:38:41,600 Speaker 1: And so again, ultimately it is what it is. We 830 00:38:41,640 --> 00:38:44,520 Speaker 1: don't have a lot of data on people just consuming meat. 831 00:38:44,560 --> 00:38:46,760 Speaker 1: We have a few studies out there, but there's been 832 00:38:47,320 --> 00:38:50,760 Speaker 1: I mean, gosh, almost no evidence it suggests anyone's developing 833 00:38:50,800 --> 00:38:54,040 Speaker 1: any significant vitamin deficiencies. And Harvard study that came out 834 00:38:54,080 --> 00:38:57,279 Speaker 1: in twenty twenty one, they specifically looked at that. They 835 00:38:57,280 --> 00:38:59,600 Speaker 1: didn't find any evidence of nutrient deficiencies. 836 00:39:00,960 --> 00:39:02,040 Speaker 2: So I don't have to eat the liver if I 837 00:39:02,080 --> 00:39:02,839 Speaker 2: don't want to, you don't. 838 00:39:02,880 --> 00:39:04,680 Speaker 1: I don't need it. I don't need I don't eat liver. 839 00:39:04,719 --> 00:39:07,239 Speaker 1: I don't eat I don't take organ meat pills. I 840 00:39:07,239 --> 00:39:09,520 Speaker 1: think it's kind of a you know, kind of a 841 00:39:09,560 --> 00:39:11,799 Speaker 1: waste of money in my view. But anyway, all right, 842 00:39:12,160 --> 00:39:16,680 Speaker 1: last question. We go to the cattleman's feast. We got three, Uh, we. 843 00:39:16,680 --> 00:39:18,560 Speaker 2: Got three talent hockey. Who's gonna get to it first? 844 00:39:18,680 --> 00:39:20,000 Speaker 2: Oh gosh, we got three. 845 00:39:20,080 --> 00:39:22,760 Speaker 1: We have to eat. I don't know the challenge that's friends. 846 00:39:22,760 --> 00:39:24,200 Speaker 1: How big they are. I can maybe do two. I 847 00:39:24,200 --> 00:39:26,160 Speaker 1: don't think I can do I can if if there's 848 00:39:27,880 --> 00:39:30,360 Speaker 1: nine pounds with the bone, the three pounds, so probably 849 00:39:30,440 --> 00:39:31,959 Speaker 1: you probably got a pound and a half a bone 850 00:39:31,960 --> 00:39:35,080 Speaker 1: in there, seven and a half pounds. That's what I'm 851 00:39:35,080 --> 00:39:37,200 Speaker 1: not I'm not in I could eat two of them 852 00:39:37,239 --> 00:39:37,640 Speaker 1: for sure. 853 00:39:37,800 --> 00:39:38,600 Speaker 2: Yeah, I might. 854 00:39:39,040 --> 00:39:40,440 Speaker 1: I'm trying to, Like I said, I'm trying to, I'm 855 00:39:40,480 --> 00:39:41,920 Speaker 1: trying to lean down a little bit. So I'm not 856 00:39:41,960 --> 00:39:45,080 Speaker 1: really as pumped about that. There is a it's kind 857 00:39:45,080 --> 00:39:47,160 Speaker 1: of I interviewed this Gal Molly scholar years ago. Shake 858 00:39:47,200 --> 00:39:51,080 Speaker 1: twenty two pounds of beef in one sitting in, uh, 859 00:39:51,120 --> 00:39:53,279 Speaker 1: twenty two pounds a woman, you know, one hundred and 860 00:39:53,280 --> 00:39:54,160 Speaker 1: twenty pound a woman did that? 861 00:39:54,360 --> 00:39:58,120 Speaker 2: Soosle All right, So we'll linkd all your stuff down below. 862 00:39:58,160 --> 00:40:00,360 Speaker 2: But you have a clinic that you help people with 863 00:40:00,400 --> 00:40:01,759 Speaker 2: this and help good. 864 00:40:02,160 --> 00:40:04,680 Speaker 1: So it's called Rivero dot com. It's ri E V 865 00:40:04,840 --> 00:40:07,520 Speaker 1: E r O. We are a online digital clinic. We 866 00:40:07,600 --> 00:40:10,120 Speaker 1: have fully licensed physicians in all fifty states. We have 867 00:40:10,480 --> 00:40:14,000 Speaker 1: teams of health coaches. We have all kinds of supportive information. 868 00:40:14,640 --> 00:40:19,719 Speaker 1: If you have a metabolic disease, diabetes, obesity, hypertension, if 869 00:40:19,719 --> 00:40:22,040 Speaker 1: you have an autoimmune or an inflammatory condition you know, 870 00:40:22,080 --> 00:40:25,400 Speaker 1: Crohn's disease, rheumatortithritis, rias, and so on and so forth. 871 00:40:26,200 --> 00:40:29,440 Speaker 1: We got physicians that are there that get this stuff, 872 00:40:29,480 --> 00:40:33,399 Speaker 1: to understand nutrition, that are going to work with you 873 00:40:33,640 --> 00:40:36,799 Speaker 1: to hopefully get off your medications hopefully treat the root 874 00:40:36,840 --> 00:40:39,040 Speaker 1: cause of the disease, which is what we should be 875 00:40:39,080 --> 00:40:40,759 Speaker 1: doing in the first place in healthcare instead of this 876 00:40:40,960 --> 00:40:43,880 Speaker 1: quote unquote disease management model which we have been stuck 877 00:40:43,880 --> 00:40:45,480 Speaker 1: with for the last twenty thirty years. 878 00:40:45,760 --> 00:40:46,680 Speaker 2: Yep, yep, Okay. 879 00:40:46,680 --> 00:40:48,680 Speaker 1: With that, we're going to wrap it up. Thanks so much, awesome, 880 00:40:48,680 --> 00:40:50,480 Speaker 1: appreciate it. Thank you.