1 00:00:00,080 --> 00:00:02,440 Speaker 1: In the industry that I was previously associated with, which 2 00:00:02,480 --> 00:00:04,840 Speaker 1: was large life insurance. If the database that I had 3 00:00:04,880 --> 00:00:07,400 Speaker 1: access to could see the life day, it would upend 4 00:00:07,440 --> 00:00:09,880 Speaker 1: modern medicine in a way that would be catastrophic. We 5 00:00:09,920 --> 00:00:11,960 Speaker 1: could tell the insurance company how long you had to 6 00:00:12,000 --> 00:00:12,920 Speaker 1: live to the money. 7 00:00:13,000 --> 00:00:16,280 Speaker 2: Keep human biologist, Scary frakat, he's going to. 8 00:00:16,239 --> 00:00:19,079 Speaker 1: Make you superhuman. We know that sedentary lifestyle is the 9 00:00:19,120 --> 00:00:21,680 Speaker 1: leading cause of all cause mortality. You're breaking in that 10 00:00:21,720 --> 00:00:25,599 Speaker 1: repetitively expired air, dropping that oxidative state. You're making the 11 00:00:25,640 --> 00:00:27,440 Speaker 1: blood more hospitable to disease. 12 00:00:30,400 --> 00:00:33,479 Speaker 2: Hey everyone, I've got some huge news to share with you. 13 00:00:33,960 --> 00:00:37,560 Speaker 2: In the last ninety days, seventy nine point four percent 14 00:00:37,640 --> 00:00:40,919 Speaker 2: of our audience came from viewers and listeners that are 15 00:00:41,000 --> 00:00:44,720 Speaker 2: not subscribed to this channel. There's research that shows that 16 00:00:44,760 --> 00:00:47,440 Speaker 2: if you want to create a habit, make it easy 17 00:00:47,479 --> 00:00:51,239 Speaker 2: to access. By hitting the subscribe button, you're creating a 18 00:00:51,280 --> 00:00:55,680 Speaker 2: habit of learning how to be happier, healthier, and more healed. 19 00:00:56,040 --> 00:00:59,000 Speaker 2: This would also mean the absolute world to me and 20 00:00:59,120 --> 00:01:02,920 Speaker 2: help us make better, bigger, brighter content for you in 21 00:01:02,960 --> 00:01:04,800 Speaker 2: the world. Subscribe right now. 22 00:01:05,120 --> 00:01:10,480 Speaker 1: The number one health and wellness podcast Jay, Shet Jay Shenny, Zily, 23 00:01:10,800 --> 00:01:12,000 Speaker 1: Jay Shety. 24 00:01:13,720 --> 00:01:16,399 Speaker 2: He Everyone, Welcome back to you on Purpose, the place 25 00:01:16,440 --> 00:01:19,880 Speaker 2: you come to to become a happier, healthier and more healed. 26 00:01:19,920 --> 00:01:22,440 Speaker 2: You know that we're dedicated to making sure that you 27 00:01:22,480 --> 00:01:25,800 Speaker 2: get the insights, the habits, the hacks, the advice that's 28 00:01:25,840 --> 00:01:29,280 Speaker 2: going to help you uplift your life from wherever you 29 00:01:29,400 --> 00:01:32,840 Speaker 2: currently are. So, if you're someone who wants to live longer, 30 00:01:33,120 --> 00:01:35,600 Speaker 2: this episode is for you. If you're someone who wants 31 00:01:35,640 --> 00:01:38,640 Speaker 2: to get healthier, even if you're starting from zero, this 32 00:01:38,720 --> 00:01:41,000 Speaker 2: episode is for you. And if you're someone who's been 33 00:01:41,000 --> 00:01:44,040 Speaker 2: hearing about biohacking and longevity and you're kind of confused 34 00:01:44,040 --> 00:01:46,040 Speaker 2: and you're thinking, I have no idea where to start, 35 00:01:46,400 --> 00:01:50,760 Speaker 2: this episode is for you. Today's guest is Gary Brecker, 36 00:01:51,040 --> 00:01:54,600 Speaker 2: the co founder and chief biologist of ten Ex Health 37 00:01:54,800 --> 00:01:57,640 Speaker 2: and the founder of The Ultimate Human. With more than 38 00:01:57,680 --> 00:02:01,320 Speaker 2: twenty years of bio hacking and functional medicine experience, he 39 00:02:01,400 --> 00:02:04,960 Speaker 2: is obsessed with the function and performance of the human 40 00:02:05,040 --> 00:02:09,160 Speaker 2: body and finding innovative ways to help people achieve absolute 41 00:02:09,160 --> 00:02:12,560 Speaker 2: peak function in their bodies. Please welcome to the show, 42 00:02:12,760 --> 00:02:15,040 Speaker 2: Gary Breka, Gary, thank you for being here. 43 00:02:15,080 --> 00:02:17,239 Speaker 1: I am so excited to be here at the top 44 00:02:17,240 --> 00:02:17,800 Speaker 1: of the mountain. 45 00:02:18,200 --> 00:02:18,400 Speaker 2: You know. 46 00:02:19,040 --> 00:02:21,000 Speaker 1: On the way up here, though, I was kind of like, 47 00:02:21,160 --> 00:02:23,440 Speaker 1: not it on some of these places that are sticking 48 00:02:23,520 --> 00:02:24,800 Speaker 1: out from the edge of the cliff. 49 00:02:26,440 --> 00:02:28,120 Speaker 2: No, I've been looking forward to this. I'm a huge fan. 50 00:02:28,160 --> 00:02:30,200 Speaker 2: I've been loving what you've been doing in early Thank you. 51 00:02:30,480 --> 00:02:32,600 Speaker 2: I've been loving watching your interviews. I'm so glad to 52 00:02:32,639 --> 00:02:34,800 Speaker 2: finally have you here. I remember when I first came 53 00:02:34,800 --> 00:02:36,040 Speaker 2: across you told my team, I was like, we've got 54 00:02:36,080 --> 00:02:37,120 Speaker 2: to get Gary on really. 55 00:02:37,160 --> 00:02:39,720 Speaker 1: Thank you so much, man, I mean super pumped to 56 00:02:39,760 --> 00:02:40,720 Speaker 1: be here too. Man, me too. 57 00:02:40,720 --> 00:02:42,280 Speaker 2: And I'm always trying to learn. I feel like I'm 58 00:02:42,280 --> 00:02:45,360 Speaker 2: always trying to grow. I'm I'm new in this space 59 00:02:45,400 --> 00:02:47,239 Speaker 2: in the sense that I got into in the last 60 00:02:47,280 --> 00:02:50,480 Speaker 2: couple of years, and I'm learning from great experts like yourself. 61 00:02:50,520 --> 00:02:52,240 Speaker 2: And I want to start off by talking about this 62 00:02:52,280 --> 00:02:56,639 Speaker 2: because you talk about the ability to predict how long 63 00:02:56,680 --> 00:03:00,920 Speaker 2: someone will live, and that sounds fascinating and crazy at 64 00:03:00,960 --> 00:03:01,560 Speaker 2: the same time. 65 00:03:01,680 --> 00:03:03,960 Speaker 1: It does always that possive. Well, first of all, it's 66 00:03:03,960 --> 00:03:07,119 Speaker 1: based on large data, and it wasn't me just looking 67 00:03:07,160 --> 00:03:09,240 Speaker 1: at blood work and gene tests and saying I can 68 00:03:09,280 --> 00:03:11,160 Speaker 1: tell you how many more months you have left on earth. 69 00:03:11,480 --> 00:03:13,320 Speaker 1: But if we got in the industry that I was 70 00:03:13,360 --> 00:03:16,040 Speaker 1: previously associated with, which was large life insurance, if we 71 00:03:16,120 --> 00:03:18,920 Speaker 1: got ten years of medical records on you and ten 72 00:03:19,000 --> 00:03:22,600 Speaker 1: years of demographic data, we could tell the insurance company 73 00:03:22,880 --> 00:03:25,440 Speaker 1: how long you had to live to the month. And 74 00:03:25,760 --> 00:03:28,400 Speaker 1: there are enormous companies that do this. If the biggest 75 00:03:28,400 --> 00:03:31,200 Speaker 1: one is probably a Fasano in Associates. But this is 76 00:03:31,240 --> 00:03:34,680 Speaker 1: based on very very large pools of data. And remember 77 00:03:34,680 --> 00:03:38,720 Speaker 1: that life insurance companies have data that no other financial 78 00:03:38,720 --> 00:03:42,240 Speaker 1: services enterprise has. No other you know, bank has, CDC 79 00:03:42,360 --> 00:03:45,800 Speaker 1: doesn't have it, Collegiate universities that are doing longevity studies 80 00:03:45,800 --> 00:03:48,200 Speaker 1: don't have it. And that is that they know the day, 81 00:03:48,320 --> 00:03:51,000 Speaker 1: the date, the time, the location, and the cause of 82 00:03:51,040 --> 00:03:55,480 Speaker 1: death for hundreds of millions of lives. And they have 83 00:03:56,160 --> 00:03:59,200 Speaker 1: blood work on these people. They have, you know, very 84 00:03:59,200 --> 00:04:02,080 Speaker 1: in depth analytics on their demographic data. If you've ever 85 00:04:02,120 --> 00:04:04,760 Speaker 1: applied for a large life insurance company or large life 86 00:04:04,800 --> 00:04:07,240 Speaker 1: insurance policy, let's say five million, ten million, twenty five 87 00:04:07,280 --> 00:04:11,800 Speaker 1: million dollar policy, there was at some point somebody determining 88 00:04:11,840 --> 00:04:14,600 Speaker 1: not where you were on an actuary curve, but your 89 00:04:14,640 --> 00:04:18,640 Speaker 1: specific mortality. And the way that it's done is you 90 00:04:18,680 --> 00:04:20,680 Speaker 1: start with an actuar outcurve. Right, So if you're thirty 91 00:04:20,720 --> 00:04:22,839 Speaker 1: five year old male, you have a life expectancy of acts. 92 00:04:22,880 --> 00:04:24,919 Speaker 1: Of your twenty eight year old female, you have a 93 00:04:24,920 --> 00:04:27,720 Speaker 1: life expectancy of why. The question is not where are 94 00:04:27,760 --> 00:04:30,320 Speaker 1: you on that curve, but what is your specific mortality? 95 00:04:30,920 --> 00:04:36,479 Speaker 1: And it's incredible how big data trends can actually predict 96 00:04:36,560 --> 00:04:39,440 Speaker 1: and not only the onset of and the severity of, 97 00:04:39,560 --> 00:04:43,240 Speaker 1: but how quickly you succumb to certain disease conditions. And 98 00:04:43,760 --> 00:04:47,720 Speaker 1: what became glaringly apparent to me was that, you know, 99 00:04:47,760 --> 00:04:50,560 Speaker 1: if the database that I had access to during that 100 00:04:51,160 --> 00:04:54,839 Speaker 1: twenty plus year career could see the light of day, 101 00:04:54,920 --> 00:04:57,800 Speaker 1: it would permanently change the face of humanity. It would 102 00:04:57,920 --> 00:04:59,880 Speaker 1: upend modern medicine in a way that would be catched 103 00:05:00,800 --> 00:05:04,159 Speaker 1: because they have real data, you know. So if you 104 00:05:04,200 --> 00:05:07,800 Speaker 1: went to your cardiologists, for example, and he put some 105 00:05:07,839 --> 00:05:10,360 Speaker 1: heart stints in your heart and you left his office, 106 00:05:11,000 --> 00:05:12,599 Speaker 1: you may or may not ever see him again. He 107 00:05:12,640 --> 00:05:14,920 Speaker 1: doesn't know if something happened to you three days later 108 00:05:15,040 --> 00:05:17,240 Speaker 1: or thirty years later, and you if you pass because 109 00:05:17,279 --> 00:05:20,880 Speaker 1: of complications related to the heart stint, or just died 110 00:05:20,920 --> 00:05:23,599 Speaker 1: of happy ripe old age. But the insurance company know 111 00:05:23,720 --> 00:05:27,280 Speaker 1: exactly day, date, time, location, and cause of death, and 112 00:05:27,320 --> 00:05:29,840 Speaker 1: you can triangulate that back into the record and you 113 00:05:29,880 --> 00:05:32,760 Speaker 1: can see where the mistakes were made either in diagnostics. 114 00:05:32,760 --> 00:05:35,080 Speaker 1: As we know, medical errors is the third leading cause 115 00:05:35,120 --> 00:05:37,960 Speaker 1: of death. And that doesn't mean that doctors are out 116 00:05:38,000 --> 00:05:41,000 Speaker 1: to kill people or that the healthcare system is out 117 00:05:41,000 --> 00:05:44,360 Speaker 1: to kill people. We know that it's completely overburdened and 118 00:05:44,400 --> 00:05:47,400 Speaker 1: sometimes medical error occurs. It just happens to occur at 119 00:05:47,400 --> 00:05:49,920 Speaker 1: a rate that in the United States at least is 120 00:05:50,279 --> 00:05:53,320 Speaker 1: the third leading cause of death. And if you ever 121 00:05:53,320 --> 00:05:57,160 Speaker 1: want to question whether or not insurance companies are good 122 00:05:57,160 --> 00:05:59,360 Speaker 1: at predicting mortality, just look at what happened during the 123 00:05:59,400 --> 00:06:01,000 Speaker 1: two thousand and eight eight in two thousand and nine 124 00:06:01,120 --> 00:06:04,200 Speaker 1: financial services crisis. We had three hundred and sixty four 125 00:06:04,279 --> 00:06:07,680 Speaker 1: banks fail. You didn't have a single life insurance company fail. 126 00:06:08,040 --> 00:06:10,520 Speaker 1: In the United States, a valid death claim in America 127 00:06:10,720 --> 00:06:14,880 Speaker 1: has never failed to have been paid. Now that's an 128 00:06:14,880 --> 00:06:17,760 Speaker 1: impressive statistic, but you also have to realize that only 129 00:06:17,800 --> 00:06:20,280 Speaker 1: two percent of life insurance policies ever pay a death claim. 130 00:06:20,400 --> 00:06:23,480 Speaker 1: Ninety eight percent of all life insurance policies lapse. So 131 00:06:24,400 --> 00:06:27,560 Speaker 1: I guess you don't really belabor that point. But the 132 00:06:28,440 --> 00:06:31,359 Speaker 1: science of mortality is some of the most accurate science 133 00:06:31,400 --> 00:06:34,560 Speaker 1: in the world, and if you really boil it down 134 00:06:34,640 --> 00:06:38,760 Speaker 1: to the sum of its components, you find that it's 135 00:06:38,880 --> 00:06:42,680 Speaker 1: predicting where processes in the body that are running on 136 00:06:42,839 --> 00:06:48,120 Speaker 1: parallel tracks will finally converge, right, what we call code morbidities. 137 00:06:48,839 --> 00:06:52,960 Speaker 1: When that happens, there is a parabolic rise in the 138 00:06:53,000 --> 00:06:56,760 Speaker 1: ability to predict in the terminal end of somebody's life. 139 00:06:57,000 --> 00:06:59,880 Speaker 1: We know that, for example, all human beings leave this 140 00:07:00,200 --> 00:07:02,440 Speaker 1: the same way. We actually all die of the same thing. 141 00:07:02,880 --> 00:07:05,400 Speaker 1: It's called hypoxia, lack of oxygen to the brain. So 142 00:07:05,440 --> 00:07:08,040 Speaker 1: when you can no longer sustain enough oxygen to the 143 00:07:08,040 --> 00:07:10,000 Speaker 1: brain that you know a brain function, that's essentially the 144 00:07:10,040 --> 00:07:15,240 Speaker 1: definition of death. And we think of it as an 145 00:07:15,320 --> 00:07:17,760 Speaker 1: event like a gunshot wound, a heart attack, bus, a stroke, 146 00:07:18,600 --> 00:07:21,320 Speaker 1: you know, some other kind of event. But the truth 147 00:07:21,400 --> 00:07:25,600 Speaker 1: is that this is a predictable curve. We used to 148 00:07:26,800 --> 00:07:29,280 Speaker 1: use an underlying what we call a hypoxic curve. How 149 00:07:29,320 --> 00:07:32,360 Speaker 1: well is this person managing oxygen or how poorly are 150 00:07:32,440 --> 00:07:36,040 Speaker 1: they managing oxygen And once we were able to predict that, 151 00:07:36,080 --> 00:07:41,040 Speaker 1: looking at blood cell counts, hemoglobin levels, hormone levels, nutrient deficiencies, 152 00:07:41,080 --> 00:07:44,480 Speaker 1: you can very accurately discern whether or not somebody has 153 00:07:44,520 --> 00:07:47,560 Speaker 1: a fighting chance of getting out of their condition or 154 00:07:47,640 --> 00:07:51,400 Speaker 1: of that condition, you know, resulting in their demise. And 155 00:07:52,840 --> 00:07:56,520 Speaker 1: you know, two things were very trying for me in 156 00:07:56,560 --> 00:07:59,680 Speaker 1: that industry. One was that, you know, I really began 157 00:07:59,720 --> 00:08:01,720 Speaker 1: to realize that it wasn't just data, there were human 158 00:08:01,760 --> 00:08:04,320 Speaker 1: beings on the other side of these spreadsheets. But the 159 00:08:04,360 --> 00:08:08,680 Speaker 1: second immensely obvious point that came out of twenty years 160 00:08:08,680 --> 00:08:11,520 Speaker 1: in that career was that the majority of the reason 161 00:08:11,560 --> 00:08:15,720 Speaker 1: why people are not living healthier, happier, longer, more fulfilling 162 00:08:15,800 --> 00:08:19,560 Speaker 1: lives is were because of things that we called modifiable 163 00:08:19,640 --> 00:08:23,600 Speaker 1: risk factors, just simple changes that they could have made 164 00:08:23,680 --> 00:08:26,360 Speaker 1: to their daily routine that would have materially changed the 165 00:08:26,400 --> 00:08:28,760 Speaker 1: trajectory of their life. In most cases, they had to 166 00:08:28,760 --> 00:08:31,280 Speaker 1: do with simple basic nutrients that were missing from their 167 00:08:31,320 --> 00:08:35,080 Speaker 1: body that were causing the expression of disease. And you know, 168 00:08:35,120 --> 00:08:38,600 Speaker 1: anemia's D three deficiencies hormone and balanced not because of 169 00:08:39,160 --> 00:08:43,360 Speaker 1: their endegrine system had a particular disease or pathology, but 170 00:08:43,400 --> 00:08:46,520 Speaker 1: because it was nutrient efficient, and it became so obvious 171 00:08:46,520 --> 00:08:48,160 Speaker 1: to me that if I'd just been able to pick 172 00:08:48,200 --> 00:08:51,440 Speaker 1: up the phone and call any number of these people, 173 00:08:52,080 --> 00:08:55,680 Speaker 1: you know, I could have dramatically changed the trajectory of 174 00:08:55,679 --> 00:08:56,200 Speaker 1: their life. 175 00:08:56,400 --> 00:08:59,880 Speaker 2: Well, I mean, when I'm hearing you talk about oxygen 176 00:09:00,120 --> 00:09:06,480 Speaker 2: the brain, which sounds so obvious, but it's something that 177 00:09:06,640 --> 00:09:08,320 Speaker 2: is rarely articulated. 178 00:09:08,760 --> 00:09:14,360 Speaker 1: Oxygen to the brain is not just gas entering the brain. 179 00:09:14,480 --> 00:09:17,760 Speaker 1: You know, if you look at the molecular structure of 180 00:09:17,840 --> 00:09:21,960 Speaker 1: a lot of the states in the brain that we 181 00:09:22,000 --> 00:09:25,240 Speaker 1: talk about, Like if you were to say to me, 182 00:09:25,360 --> 00:09:29,160 Speaker 1: what is a mood? What is an emotional state? Well, 183 00:09:29,760 --> 00:09:33,640 Speaker 1: it's a collection of neurotransmitters, in most cases bound to oxygen. 184 00:09:33,679 --> 00:09:37,040 Speaker 1: If you look at the moleculial structure of some of 185 00:09:37,120 --> 00:09:41,360 Speaker 1: these activated, deactivated neurotransmitters, or some of these the differences 186 00:09:41,400 --> 00:09:45,280 Speaker 1: between different moods elevated emotional states passion, elation, joy, arousal, 187 00:09:45,440 --> 00:09:49,840 Speaker 1: or suppressed emotional states anger, you know, vengeance, despair, You'd 188 00:09:49,840 --> 00:09:53,959 Speaker 1: find that a large reason, a large difference between these 189 00:09:54,000 --> 00:09:56,960 Speaker 1: two emotional states is the presence of oxygen. You know, 190 00:09:57,200 --> 00:09:58,880 Speaker 1: one of the reasons why no human being has ever 191 00:09:58,920 --> 00:10:01,720 Speaker 1: woken up laughing is because you don't have the oxidative 192 00:10:01,760 --> 00:10:05,440 Speaker 1: state to experience laughter. But can you wake up angry 193 00:10:06,400 --> 00:10:10,120 Speaker 1: very easily? Lower to your emotional states do not require 194 00:10:10,160 --> 00:10:13,679 Speaker 1: the presence of oxygen. And so when you know, if 195 00:10:13,720 --> 00:10:15,320 Speaker 1: you want to do a fun experiment and I just 196 00:10:15,320 --> 00:10:17,079 Speaker 1: just pinch your wife while she's in a deep sleep, 197 00:10:17,120 --> 00:10:20,959 Speaker 1: she will instantly wake up angry. Right, I actually don't 198 00:10:20,960 --> 00:10:25,120 Speaker 1: suggest that I may not. But if you wanted her 199 00:10:25,120 --> 00:10:28,719 Speaker 1: to laugh, right, if you wanted her to be joyous, 200 00:10:29,679 --> 00:10:32,360 Speaker 1: if you wanted her to be elated, aroused, you would 201 00:10:32,400 --> 00:10:36,800 Speaker 1: have to you know, wake her up, improve the oxidative state, 202 00:10:36,880 --> 00:10:39,880 Speaker 1: and then allow those emotions to come in to play. 203 00:10:40,480 --> 00:10:43,120 Speaker 1: And and so you know, I have a saying that 204 00:10:43,160 --> 00:10:46,600 Speaker 1: the presence of oxygen is the absence of disease. And 205 00:10:46,679 --> 00:10:49,960 Speaker 1: so we know, and you know very well because you're 206 00:10:50,040 --> 00:10:53,560 Speaker 1: you're you're in the space that we feel emotion in 207 00:10:53,640 --> 00:10:55,719 Speaker 1: an area of the brain called the amygdalah right, a 208 00:10:55,720 --> 00:11:01,559 Speaker 1: little two little almonds. And fascinating thing about this area 209 00:11:01,600 --> 00:11:03,760 Speaker 1: of the brain where we experience every emotional state that 210 00:11:03,800 --> 00:11:06,319 Speaker 1: we can experience if you're angry, you're angry in the amigdala. 211 00:11:06,320 --> 00:11:09,280 Speaker 1: If you're elated, you're elated in the amigal area of 212 00:11:09,320 --> 00:11:12,720 Speaker 1: the brain. Is that it is, according to MIT, the 213 00:11:12,720 --> 00:11:16,120 Speaker 1: sole gateway to the hippocampus, which is where our memory 214 00:11:16,160 --> 00:11:19,839 Speaker 1: is stored. And so when you start thinking about that 215 00:11:19,880 --> 00:11:22,680 Speaker 1: from a physiological standpoint, like, well, the sole gateway to 216 00:11:22,679 --> 00:11:24,880 Speaker 1: the hippocampus is through the amigla, But when you start 217 00:11:24,880 --> 00:11:28,040 Speaker 1: thinking from a practical standpoint, then the sole gateway to 218 00:11:28,080 --> 00:11:32,040 Speaker 1: our memory is through our current emotional state. And if 219 00:11:32,040 --> 00:11:34,600 Speaker 1: that's how we access memory, and memory is what we 220 00:11:34,720 --> 00:11:38,480 Speaker 1: draw upon our prefernal cortex, and our consciousness, our future 221 00:11:38,640 --> 00:11:43,440 Speaker 1: draws from our memories, then if the amigla is what 222 00:11:43,559 --> 00:11:47,000 Speaker 1: accesses the hippocampus part of the brain and taps into 223 00:11:47,080 --> 00:11:49,640 Speaker 1: our memory, and then our conscience pulls from our memory, 224 00:11:49,679 --> 00:11:54,120 Speaker 1: then this essentially means that your current emotional state determines 225 00:11:54,120 --> 00:11:57,720 Speaker 1: your future. And I just feel like if we could 226 00:11:58,120 --> 00:12:04,160 Speaker 1: improve the capacity for people to experience elevated emotional states 227 00:12:04,240 --> 00:12:07,680 Speaker 1: for prolonged periods of time, not like a heart monitor, right, 228 00:12:08,080 --> 00:12:10,560 Speaker 1: because you find so many people that are not in 229 00:12:10,600 --> 00:12:14,640 Speaker 1: good physiological condition, that are trying to become in better 230 00:12:15,200 --> 00:12:21,840 Speaker 1: emotional condition, right, better mood, and they are only able 231 00:12:21,920 --> 00:12:24,080 Speaker 1: to reach these emotional states for short periods of time, 232 00:12:24,160 --> 00:12:27,080 Speaker 1: like a heart monitor. So and they do all the 233 00:12:27,120 --> 00:12:29,680 Speaker 1: right things. They wake up, they journal, they read self help, 234 00:12:29,720 --> 00:12:32,480 Speaker 1: motivational books, they go to the right seminars, they try 235 00:12:32,520 --> 00:12:37,800 Speaker 1: to express gratitude, even even fake their way through it. 236 00:12:37,840 --> 00:12:41,640 Speaker 1: But as soon as they're done that intentional focus, it 237 00:12:41,720 --> 00:12:45,080 Speaker 1: drops back down into the state where they most comfortably exist. 238 00:12:45,600 --> 00:12:47,200 Speaker 1: And I believe a lot of this has to do 239 00:12:47,320 --> 00:12:49,400 Speaker 1: with the oxidative state in the brain. It also has 240 00:12:49,440 --> 00:12:52,600 Speaker 1: to do with nutrient deficiencies, right, I mean, every every 241 00:12:52,640 --> 00:12:55,000 Speaker 1: emotion that we can feel, every every mood that we 242 00:12:55,040 --> 00:12:57,960 Speaker 1: can experience, is a collection of neurotransmitters. As we have 243 00:12:58,040 --> 00:13:03,120 Speaker 1: imbalances and deficiencies in these, then we cannot manufacture the 244 00:13:03,160 --> 00:13:07,079 Speaker 1: moods and the emotional states that we really want to experience. 245 00:13:07,360 --> 00:13:09,880 Speaker 1: And then we're told we have a mood disorder or 246 00:13:09,880 --> 00:13:13,040 Speaker 1: a mental illness, and I think very often we just 247 00:13:13,080 --> 00:13:18,760 Speaker 1: have a lack of mental fitness. And so when you realize, 248 00:13:18,920 --> 00:13:23,240 Speaker 1: like the happiest people are the people that are moving 249 00:13:23,280 --> 00:13:28,840 Speaker 1: the most, that have the greatest sense of purpose and 250 00:13:28,840 --> 00:13:32,960 Speaker 1: that they're not necessarily the world's greatest biohackers. But they're 251 00:13:32,960 --> 00:13:36,520 Speaker 1: eating whole foods, they're moving their body a lot, they 252 00:13:36,520 --> 00:13:38,240 Speaker 1: have a sense of purpose. You look at the blue 253 00:13:38,280 --> 00:13:41,319 Speaker 1: zones and some of the things that actually extend life. 254 00:13:41,360 --> 00:13:44,320 Speaker 1: You know, we would see this in the medical record. Yeah, 255 00:13:44,360 --> 00:13:47,079 Speaker 1: we're those people actually having some alcohol. Yeah, where those 256 00:13:47,080 --> 00:13:49,839 Speaker 1: people actually having a little bit of elevated LDL cholesterol. 257 00:13:49,920 --> 00:13:53,920 Speaker 1: Sure did those people eat sweets once in a while, Yeah, 258 00:13:53,960 --> 00:13:57,760 Speaker 1: they sure did. But they moved on a consistent basis, 259 00:13:57,840 --> 00:14:01,800 Speaker 1: and they had relationships, They had a sense of purpose, 260 00:14:02,040 --> 00:14:04,960 Speaker 1: and for the most part, they ate whole foods and 261 00:14:05,000 --> 00:14:07,440 Speaker 1: not any particular type of whole food, not any particular 262 00:14:07,440 --> 00:14:09,960 Speaker 1: type of diet. Wasn't the carnivore diet that extended their life. 263 00:14:09,960 --> 00:14:12,200 Speaker 1: It wasn't the keto diet that extended their life. It 264 00:14:12,240 --> 00:14:15,160 Speaker 1: wasn't the raw food vegan diet that extended their life. 265 00:14:15,160 --> 00:14:17,440 Speaker 1: It was the whole food diet, you know, just eating 266 00:14:17,679 --> 00:14:20,640 Speaker 1: real foods. So I kind of diverted there for a. 267 00:14:20,640 --> 00:14:22,120 Speaker 2: Second, But no, I get where you're going. 268 00:14:22,200 --> 00:14:24,480 Speaker 1: Yeah, how sometimes my wife is like, you just eat 269 00:14:24,480 --> 00:14:28,000 Speaker 1: people's face, you know. So the government you sit next 270 00:14:28,040 --> 00:14:29,600 Speaker 1: to me on like a commercial flight or something. 271 00:14:29,680 --> 00:14:32,160 Speaker 2: Oh yeah, I love it, I love it. Just how 272 00:14:32,160 --> 00:14:33,600 Speaker 2: do we how do we? How do we do that? 273 00:14:33,600 --> 00:14:36,600 Speaker 2: They're like, how do we get more oxygen into our brain? 274 00:14:36,640 --> 00:14:36,720 Speaker 1: Like? 275 00:14:36,720 --> 00:14:38,040 Speaker 2: What does that mean? What does that look like? 276 00:14:38,120 --> 00:14:40,200 Speaker 1: Well, I mean we know that sedentary lifestyle is the 277 00:14:40,280 --> 00:14:42,960 Speaker 1: leading cause of all cause mortality, right, And why is 278 00:14:43,040 --> 00:14:45,520 Speaker 1: sedentary lifestyle the leading cause of all cause mortality? We 279 00:14:45,560 --> 00:14:47,920 Speaker 1: know that the sitting is the new smoking. Well, we 280 00:14:47,960 --> 00:14:49,760 Speaker 1: know why smoking was bad for you, right, it's short 281 00:14:49,800 --> 00:14:53,360 Speaker 1: of the lungs. But uh, and you know that the 282 00:14:53,440 --> 00:14:57,280 Speaker 1: nicketine caused permanent lung damage. And but it wasn't the 283 00:14:57,800 --> 00:15:00,920 Speaker 1: really the nicketine. It was the reduction in the oxidative state. 284 00:15:01,400 --> 00:15:04,760 Speaker 1: And when the body doesn't have oxygen, it can't really 285 00:15:04,760 --> 00:15:07,000 Speaker 1: defend itself. I mean, if you actually were to go 286 00:15:07,080 --> 00:15:09,000 Speaker 1: in through the wall of a cell, go through the 287 00:15:09,000 --> 00:15:13,560 Speaker 1: cytoplasm and find the little organelles floating around in there, 288 00:15:13,600 --> 00:15:16,360 Speaker 1: called the mitochondria, which there's probably one thousand or so 289 00:15:16,480 --> 00:15:19,320 Speaker 1: per cell and thirty two trillion cells, so it's estimated 290 00:15:19,360 --> 00:15:22,800 Speaker 1: we have one hundred and ten trillion mitochondria, about ten 291 00:15:22,840 --> 00:15:24,920 Speaker 1: percent of your body weight of these little mitochondria. These 292 00:15:25,200 --> 00:15:29,440 Speaker 1: this is the true energy source for human beings. And 293 00:15:30,120 --> 00:15:34,960 Speaker 1: when cells become metabolically sick, it usually begins in the mitochondria, 294 00:15:35,080 --> 00:15:39,920 Speaker 1: including the genesis of cancer and forms of all kinds 295 00:15:39,960 --> 00:15:43,480 Speaker 1: of different pathologies. So when the mitochondria does not have 296 00:15:43,520 --> 00:15:48,720 Speaker 1: the right oxidative state, you have a sixteenfold step down 297 00:15:49,080 --> 00:15:52,200 Speaker 1: in its production of energy. And what happens when you 298 00:15:52,280 --> 00:15:55,600 Speaker 1: take a sixteenfold step down in the energetic state of 299 00:15:55,640 --> 00:15:59,120 Speaker 1: a cell is now that cell can no longer eliminate waste, repair, 300 00:15:59,240 --> 00:16:04,800 Speaker 1: to toxify, regenerate, and so you're becoming metabolically sick mainly 301 00:16:04,840 --> 00:16:07,640 Speaker 1: because of the deficiency and oxygen. It's not that linear, 302 00:16:07,720 --> 00:16:12,680 Speaker 1: but that is the main component. And sedentary lifestyle means 303 00:16:12,720 --> 00:16:16,240 Speaker 1: that we have prolonged periods of where our respiratory rate 304 00:16:16,280 --> 00:16:18,920 Speaker 1: is very shallow. When a respiratory rates very shallow, the 305 00:16:18,960 --> 00:16:20,680 Speaker 1: majority of the air that we breathe in and out 306 00:16:20,840 --> 00:16:24,160 Speaker 1: is high in carbon dioxide seek spelled air. I mean 307 00:16:24,240 --> 00:16:26,240 Speaker 1: right now, every time you let out a breath from 308 00:16:26,280 --> 00:16:28,000 Speaker 1: the tip of your nose, in the front of your lips, 309 00:16:28,280 --> 00:16:30,040 Speaker 1: all the way down your esophagus, through the back of 310 00:16:30,120 --> 00:16:32,000 Speaker 1: your pharynx and all the way down and out to 311 00:16:32,000 --> 00:16:35,200 Speaker 1: the baranchials in your lungs. This is all expired air. 312 00:16:35,680 --> 00:16:38,520 Speaker 1: So when you breathe in and out, if it's very shallow, 313 00:16:39,200 --> 00:16:43,120 Speaker 1: you're breathing in that repetitively expired air, and you're dropping 314 00:16:43,160 --> 00:16:45,560 Speaker 1: that oxidative state in the blood. You're making the blood 315 00:16:45,600 --> 00:16:51,119 Speaker 1: more acidic, You're making it more hospitable to disease, not alkaline, 316 00:16:51,160 --> 00:16:54,320 Speaker 1: and less hospitable and not full of oxygen, which is energetic, 317 00:16:54,560 --> 00:16:58,000 Speaker 1: and so water wasts to get more oxygen. Obviously, things 318 00:16:58,040 --> 00:17:00,720 Speaker 1: like breath work just simply moving body. 319 00:17:00,800 --> 00:17:02,920 Speaker 2: Give us, give us one that. So I love what 320 00:17:02,960 --> 00:17:05,600 Speaker 2: you're saying here because it's so fascinating to understand that 321 00:17:06,280 --> 00:17:11,240 Speaker 2: the reason a shallow breath is reducing our lifespan is 322 00:17:11,240 --> 00:17:13,280 Speaker 2: because of this idea of just how much can get 323 00:17:13,320 --> 00:17:14,200 Speaker 2: stuck and lost. 324 00:17:14,000 --> 00:17:15,400 Speaker 1: In there that's changing in the gases. 325 00:17:15,520 --> 00:17:18,960 Speaker 2: Yeah, and so what are some breathwork practices? Because I 326 00:17:18,960 --> 00:17:20,760 Speaker 2: think what we don't realize today is with everyone dealing 327 00:17:20,760 --> 00:17:24,120 Speaker 2: with anxiety, dealing with stress, dealing with pressure, we're all 328 00:17:24,160 --> 00:17:29,320 Speaker 2: subconsciously breathing far more shallower and we're breathing quicker. And 329 00:17:29,440 --> 00:17:31,480 Speaker 2: you got these shorter, quicker breaths, and I think sometimes 330 00:17:31,520 --> 00:17:34,320 Speaker 2: we're doing it without knowing at all. What are some 331 00:17:34,320 --> 00:17:36,640 Speaker 2: great breath work practices that you stand by that so. 332 00:17:37,040 --> 00:17:38,879 Speaker 1: You know, I don't have a breathwork practice that I 333 00:17:39,680 --> 00:17:41,760 Speaker 1: take credit for. I use a whim half style of 334 00:17:41,800 --> 00:17:44,600 Speaker 1: breath work. I mean, you could spend a lifetime going 335 00:17:44,840 --> 00:17:46,399 Speaker 1: and I encourage people to do so. I mean the 336 00:17:46,440 --> 00:17:50,000 Speaker 1: lifetime going down just the breath work avenue. There's breath 337 00:17:50,040 --> 00:17:51,960 Speaker 1: work to wake up, there's breath work to go to sleep. 338 00:17:52,320 --> 00:17:54,360 Speaker 1: But I think it's important, you know, as a part 339 00:17:54,359 --> 00:17:58,399 Speaker 1: of a really daily health practice, longevity practice. Are you 340 00:17:58,480 --> 00:18:00,160 Speaker 1: just taking a deep breath now? 341 00:18:00,160 --> 00:18:03,640 Speaker 2: I'm like, He's like, say yeah, I'm like, yeah, let's 342 00:18:03,680 --> 00:18:04,360 Speaker 2: get it really too. 343 00:18:04,560 --> 00:18:07,560 Speaker 1: Like I'm not dying anytime. Yeah, I'm not going I'm 344 00:18:07,560 --> 00:18:08,040 Speaker 1: not going down. 345 00:18:08,160 --> 00:18:10,080 Speaker 2: I'm listening to once and is taking a breath right 346 00:18:10,119 --> 00:18:12,400 Speaker 2: now too. Everyone's like everyone's saying the same thing I'm doing. 347 00:18:12,400 --> 00:18:15,040 Speaker 2: They're doing it right now. Everyone's like counting how long 348 00:18:15,080 --> 00:18:16,200 Speaker 2: that breath is right now. 349 00:18:16,640 --> 00:18:19,640 Speaker 1: The truth is, you know, it's better to breathe deeper 350 00:18:19,640 --> 00:18:22,760 Speaker 1: and longer and less frequently than it is to breathe 351 00:18:22,760 --> 00:18:26,000 Speaker 1: more shallow and less frequently. In fact, wim Hoff, in 352 00:18:26,080 --> 00:18:29,359 Speaker 1: some of his teachings, will do a very simple exercise 353 00:18:29,400 --> 00:18:31,080 Speaker 1: where he'll say, I just want you to look down 354 00:18:31,080 --> 00:18:32,800 Speaker 1: at your watch, and I want you to count the 355 00:18:32,880 --> 00:18:34,480 Speaker 1: number of times you breathe in and out in the 356 00:18:34,560 --> 00:18:37,760 Speaker 1: next minute. And people will just they don't know that 357 00:18:37,760 --> 00:18:41,320 Speaker 1: they're actually being tripped. And what he's showing is that 358 00:18:41,359 --> 00:18:45,720 Speaker 1: the majority of people are are are breathing fifteen, eighteen, 359 00:18:45,880 --> 00:18:50,919 Speaker 1: sometimes twenty breaths in sixty seconds. And what this is 360 00:18:50,920 --> 00:18:53,320 Speaker 1: showing you is if you're breathing that frequently, you're breathing 361 00:18:53,320 --> 00:18:57,280 Speaker 1: that frequently because of the very little amount of oxygen 362 00:18:57,400 --> 00:19:00,879 Speaker 1: that you're getting, and so you're breathing show and your 363 00:19:00,920 --> 00:19:05,560 Speaker 1: brother buddy is trying to get more oxygen. Then he says, okay, 364 00:19:05,640 --> 00:19:08,960 Speaker 1: count the number of breass in the next minute. I 365 00:19:09,000 --> 00:19:12,360 Speaker 1: want you to only take four breasts for the entire minute, 366 00:19:12,600 --> 00:19:17,639 Speaker 1: one every fifteen seconds, and you're gonna breathe in, and 367 00:19:17,720 --> 00:19:22,399 Speaker 1: you're gonna pause, and you're gonna breathe out. And so 368 00:19:23,080 --> 00:19:26,080 Speaker 1: essentially what he's trying to demonstrate is that in that 369 00:19:26,160 --> 00:19:31,199 Speaker 1: same minute, four breaths actually was equivalent to fifteen or 370 00:19:31,240 --> 00:19:33,840 Speaker 1: eighteen or twenty breasts in the same period of time, 371 00:19:33,880 --> 00:19:37,000 Speaker 1: but they were four deep press as we age. I 372 00:19:37,000 --> 00:19:38,960 Speaker 1: read a statistic. I don't know if there's any valid 373 00:19:39,000 --> 00:19:42,280 Speaker 1: science behind this or not. I actually got hassled online 374 00:19:42,320 --> 00:19:46,000 Speaker 1: for repeating this, but I read a statistic that after 375 00:19:46,080 --> 00:19:51,080 Speaker 1: age thirty, less than ninety five percent of people will 376 00:19:51,119 --> 00:19:54,840 Speaker 1: ever sprint. Again, how much truth is to that? But 377 00:19:54,880 --> 00:19:57,200 Speaker 1: as I kind of just meander my way through the world, 378 00:19:57,560 --> 00:19:59,760 Speaker 1: I have a tendency to think that it's you know, 379 00:20:00,560 --> 00:20:03,680 Speaker 1: fairly close. And if it's not ninety five percent of people, 380 00:20:03,720 --> 00:20:06,960 Speaker 1: maybe it's seventy percent of people. But after age thirty, 381 00:20:06,960 --> 00:20:09,359 Speaker 1: and this means that we're not using our auxiliary muscles 382 00:20:09,400 --> 00:20:11,800 Speaker 1: of respiration, we're not using our inner costals, we're not 383 00:20:11,880 --> 00:20:14,960 Speaker 1: using our diaphragm to massage or intestines. We're not correcting 384 00:20:14,960 --> 00:20:17,080 Speaker 1: our posture and getting you know, air down into the 385 00:20:17,119 --> 00:20:18,919 Speaker 1: lobes of our lungs and out of the apex of 386 00:20:18,920 --> 00:20:22,719 Speaker 1: our lungs. And so what wim Hoff talks about is 387 00:20:22,720 --> 00:20:26,280 Speaker 1: is I do three rounds of thirty breaths every morning. 388 00:20:26,320 --> 00:20:28,960 Speaker 1: It takes about eight minutes. That is the one thing 389 00:20:29,040 --> 00:20:34,080 Speaker 1: that I do. Then I never ever, ever, ever miss. 390 00:20:34,000 --> 00:20:36,560 Speaker 2: Three rounds of thirty breaths that every minute you're only 391 00:20:36,560 --> 00:20:37,080 Speaker 2: taking four. 392 00:20:36,960 --> 00:20:39,159 Speaker 1: Breath no, no, so it's three rounds of thirty breasts. 393 00:20:39,119 --> 00:20:42,119 Speaker 1: So the one minute of four breasts was just a 394 00:20:42,119 --> 00:20:45,280 Speaker 1: way of showing you how you're actually hyperventilating yourself. You're 395 00:20:45,320 --> 00:20:48,119 Speaker 1: actually you know, if you're taking twenty breaths in a 396 00:20:48,119 --> 00:20:50,560 Speaker 1: minute or fifteen breaths in a minute, those are really 397 00:20:50,600 --> 00:20:53,520 Speaker 1: short breasts, and which means you're not drawing in a 398 00:20:53,520 --> 00:20:55,480 Speaker 1: lot of oxygen, and you made it through the next 399 00:20:55,480 --> 00:20:59,560 Speaker 1: minute breathing less than a quarter of the amount of time. 400 00:21:00,040 --> 00:21:02,600 Speaker 1: And it just shows you that it's because during those 401 00:21:02,800 --> 00:21:05,280 Speaker 1: fifteen or eighteen breasts, you use the apex of your lungs. 402 00:21:05,359 --> 00:21:08,359 Speaker 1: During those four breasts, you use the lobes of your lungs, 403 00:21:08,359 --> 00:21:11,359 Speaker 1: where two thirds of the storage capacity is. And so 404 00:21:11,400 --> 00:21:15,359 Speaker 1: it's just demonstrating the fact that getting oxygen deep into 405 00:21:15,440 --> 00:21:17,720 Speaker 1: the lows of our lungs and into our bloodstream is 406 00:21:17,720 --> 00:21:20,800 Speaker 1: a very very healthy thing, and it not only elevates 407 00:21:20,800 --> 00:21:22,560 Speaker 1: your mood and your emotional state, but it is the 408 00:21:22,600 --> 00:21:26,600 Speaker 1: antithesis of disease. It can actually even alkalize the blood. 409 00:21:26,880 --> 00:21:29,800 Speaker 1: So I do three rounds of thirty breasts obnoxiously deep 410 00:21:29,800 --> 00:21:35,199 Speaker 1: breast and then exhale, and then on your thirtieth breath, 411 00:21:35,400 --> 00:21:38,600 Speaker 1: and you exhale and you hold as long as you 412 00:21:38,640 --> 00:21:40,679 Speaker 1: can when you start, and you might be holding your 413 00:21:40,680 --> 00:21:44,000 Speaker 1: breath for fifteen seconds, twenty seconds. After several months of 414 00:21:44,080 --> 00:21:46,760 Speaker 1: doing it, because the oxygen tension will change, their storage 415 00:21:46,800 --> 00:21:50,840 Speaker 1: capacity changes, you'll be up to I'm up to almost 416 00:21:50,880 --> 00:21:52,919 Speaker 1: four minutes now, so I can hold my breath for 417 00:21:52,960 --> 00:21:56,080 Speaker 1: four minutes between rounds. And you want on that exhale, 418 00:21:56,080 --> 00:21:59,960 Speaker 1: you want to build carbon dioxide. That's a mean vasodilator 419 00:22:00,200 --> 00:22:03,400 Speaker 1: in human bodies, not nitrocoxide, it's carbon dioxide. The reason 420 00:22:03,400 --> 00:22:05,480 Speaker 1: why we get vascular during exercise is because of the 421 00:22:05,480 --> 00:22:09,120 Speaker 1: carbon dioxide traveling back to the lungs, not necessarily because 422 00:22:09,119 --> 00:22:11,480 Speaker 1: of the pressure. So we want the carbon dioxide to 423 00:22:11,480 --> 00:22:14,720 Speaker 1: build up. We want that vasodilation, and then post vasodilation, 424 00:22:14,800 --> 00:22:18,280 Speaker 1: we take a nice, obnoxiously deep breath in, we let 425 00:22:18,280 --> 00:22:21,880 Speaker 1: that air out, and we start again. It's like my coffee, 426 00:22:21,920 --> 00:22:24,919 Speaker 1: my caffeine, my double espresso in the morning. I call 427 00:22:24,960 --> 00:22:27,159 Speaker 1: it my drug of choice because my body craves it 428 00:22:27,240 --> 00:22:29,359 Speaker 1: like a rat to cheese. So within thirty minutes of 429 00:22:29,359 --> 00:22:31,960 Speaker 1: waking every day, I'm finding a spot to do thirty 430 00:22:32,000 --> 00:22:34,719 Speaker 1: minutes of breath work. And the great thing about it 431 00:22:34,760 --> 00:22:36,800 Speaker 1: is number one, it's free, and number two, it's portable. 432 00:22:37,640 --> 00:22:38,800 Speaker 1: You do it in the hotels. You just sound a 433 00:22:38,840 --> 00:22:40,320 Speaker 1: little weird doing it in the hotel room or in 434 00:22:40,600 --> 00:22:44,600 Speaker 1: airplane bathroom. You know, when I'm on long flights, I 435 00:22:44,640 --> 00:22:46,119 Speaker 1: go in the restroom and do it. God only knows 436 00:22:46,160 --> 00:22:47,320 Speaker 1: what they think of doing in there. 437 00:22:48,160 --> 00:22:49,760 Speaker 2: About every why would you do? And you see it? 438 00:22:49,840 --> 00:22:56,399 Speaker 1: Well, like everybody out there, I'm stressing out, yeah, to 439 00:22:56,520 --> 00:22:59,680 Speaker 1: ring the flight attendant call button. But I was actually 440 00:22:59,680 --> 00:23:02,440 Speaker 1: on a long flight from Dubai back to New York. 441 00:23:02,480 --> 00:23:05,400 Speaker 1: And actually a few times ago when I was in La, 442 00:23:05,440 --> 00:23:09,480 Speaker 1: I went La to to Dubai on Emirates and and 443 00:23:09,520 --> 00:23:11,480 Speaker 1: they got a big bathroom in the front of the 444 00:23:11,480 --> 00:23:13,480 Speaker 1: plane there, and I just went in there and had 445 00:23:13,520 --> 00:23:16,960 Speaker 1: at it, you know, like twenty five air squads and 446 00:23:16,960 --> 00:23:18,600 Speaker 1: then they would do twenty five deep press, twenty five 447 00:23:18,600 --> 00:23:20,960 Speaker 1: air squats, twenty five deep press. And I could see 448 00:23:20,960 --> 00:23:22,440 Speaker 1: the looks on people's face when I came out of 449 00:23:22,480 --> 00:23:26,879 Speaker 1: the bathroom, and I'm like, I feel great and then 450 00:23:26,920 --> 00:23:28,480 Speaker 1: every hour on the hour is going back in and 451 00:23:28,520 --> 00:23:30,120 Speaker 1: doing the same thing. I know they were thinking, God, 452 00:23:30,200 --> 00:23:31,920 Speaker 1: just give it a rate, give it a break. 453 00:23:31,920 --> 00:23:34,200 Speaker 2: Guy, gym on planes, Yeah. 454 00:23:34,080 --> 00:23:37,760 Speaker 1: They we need to normalize gym's on planes. Know, somebody 455 00:23:37,880 --> 00:23:39,600 Speaker 1: was actually talking to me about them. My friend Mikey 456 00:23:39,600 --> 00:23:41,159 Speaker 1: Wang was talking to me about that the other day, 457 00:23:41,160 --> 00:23:43,240 Speaker 1: how he wants to put gyms on planes. Take out 458 00:23:43,240 --> 00:23:45,600 Speaker 1: the bar and even if you just put like some 459 00:23:45,640 --> 00:23:48,760 Speaker 1: t r X bands or something, you know, I can't 460 00:23:48,800 --> 00:23:52,679 Speaker 1: I can't imagine a squad rack with some freeways. But 461 00:23:52,680 --> 00:23:54,840 Speaker 1: but what a cool thing it would be if if 462 00:23:55,280 --> 00:23:57,439 Speaker 1: the business last section in the back, like an Emirates 463 00:23:57,480 --> 00:23:59,240 Speaker 1: it's it's a bar back there with you know, with 464 00:23:59,280 --> 00:24:02,680 Speaker 1: a cool TV and lounge seats. But I'd love for 465 00:24:02,680 --> 00:24:04,399 Speaker 1: one to put some islets around and just throw up 466 00:24:04,400 --> 00:24:05,359 Speaker 1: some tr X bands. 467 00:24:06,359 --> 00:24:07,119 Speaker 2: I would be back there. 468 00:24:07,960 --> 00:24:09,760 Speaker 1: In fact, I had a whole group of people in 469 00:24:09,760 --> 00:24:11,760 Speaker 1: the back of the planes, about twelve or thirteen of 470 00:24:11,800 --> 00:24:14,480 Speaker 1: us last time on my way to Dubai, and it 471 00:24:14,480 --> 00:24:16,480 Speaker 1: convinced everybody to do breathwork, and we all sat in 472 00:24:16,520 --> 00:24:20,080 Speaker 1: a big circle on the back of that airbus and 473 00:24:20,760 --> 00:24:22,040 Speaker 1: did breathwork for like twenty minutes. 474 00:24:22,080 --> 00:24:24,040 Speaker 2: It was amazing, Gary, what's it. I want to go 475 00:24:24,080 --> 00:24:26,200 Speaker 2: back to some of you said earlier, what's the relationship 476 00:24:26,280 --> 00:24:29,480 Speaker 2: between mental health and vintomin deficiencies. 477 00:24:29,840 --> 00:24:32,399 Speaker 1: Well, if you look at I don't think this is 478 00:24:32,440 --> 00:24:34,800 Speaker 1: talked about enough. I don't think it's talked about enough either. 479 00:24:35,400 --> 00:24:37,680 Speaker 1: You know, when we talk about mental health and lack 480 00:24:37,720 --> 00:24:41,840 Speaker 1: of mental fitness, you know, so many mental health disorders 481 00:24:42,200 --> 00:24:46,400 Speaker 1: are in my opinion, poorly understood. They are defined one 482 00:24:46,440 --> 00:24:48,320 Speaker 1: way and treated a different way. And just had doctor 483 00:24:48,359 --> 00:24:52,159 Speaker 1: Palmer from from from Harvard on my podcast. It was 484 00:24:52,200 --> 00:24:54,840 Speaker 1: fascinating how he was treating. And he's a board sort 485 00:24:54,880 --> 00:24:58,120 Speaker 1: of phed psychiatrist, an MD and Harvard professor, and he's 486 00:24:58,160 --> 00:25:01,520 Speaker 1: treating some of the most drug resists than psychiatric illnesses. 487 00:25:02,040 --> 00:25:05,640 Speaker 1: And I'm talking about the most awful of psychiatric illnesses, 488 00:25:05,680 --> 00:25:10,120 Speaker 1: you know, paranoid schizophrenia, the conditions where people are literally 489 00:25:10,160 --> 00:25:13,320 Speaker 1: tortured inside their own head, voices, what have you. And 490 00:25:13,320 --> 00:25:17,520 Speaker 1: they're drug resistant and he treated them with supplements and 491 00:25:17,600 --> 00:25:21,919 Speaker 1: ketogenic diets. And again I'm not trying to oversimplify, you know, 492 00:25:22,000 --> 00:25:24,280 Speaker 1: mental health by any means and saying if you're suffering 493 00:25:24,320 --> 00:25:26,719 Speaker 1: from sphere depression, just get on the kogenic diet. That's 494 00:25:26,760 --> 00:25:29,359 Speaker 1: not at all what I'm saying. But if you look 495 00:25:29,400 --> 00:25:32,600 Speaker 1: at the if you keep digging in and you say, okay, 496 00:25:32,600 --> 00:25:35,240 Speaker 1: what is a mood or what is an emotional state? 497 00:25:36,040 --> 00:25:40,320 Speaker 1: These are collections of neurotransmitters, their recipes. Right, what is anxiety? 498 00:25:40,320 --> 00:25:42,639 Speaker 1: It's an excess. It's an elevation of a category of 499 00:25:42,680 --> 00:25:46,800 Speaker 1: neurotransmitters called catecholamines. So if catacholamines rise in your brain, 500 00:25:47,560 --> 00:25:50,479 Speaker 1: you will feel fearful. You will actually feel the presence 501 00:25:50,480 --> 00:25:53,040 Speaker 1: of a fear without the presence of a fear. And 502 00:25:53,080 --> 00:25:55,520 Speaker 1: when we understand that, the brain can play tricks on 503 00:25:55,600 --> 00:25:58,640 Speaker 1: us because it truly doesn't know the difference between perception 504 00:25:58,800 --> 00:26:01,760 Speaker 1: and reality. I use the example that if you drove 505 00:26:01,800 --> 00:26:03,560 Speaker 1: home tonight and you got out of your car and 506 00:26:03,600 --> 00:26:05,560 Speaker 1: somebody was standing in front of you with a knife, 507 00:26:06,520 --> 00:26:08,879 Speaker 1: very real fear, right, you would begin to have a 508 00:26:08,880 --> 00:26:11,560 Speaker 1: fight or flight response. Pupils would dilate, heart rate would increase, 509 00:26:11,560 --> 00:26:14,560 Speaker 1: your extremities would flood with blood. But you could also 510 00:26:14,720 --> 00:26:16,639 Speaker 1: be in your place here and we're very high on 511 00:26:16,680 --> 00:26:19,200 Speaker 1: the mountain in la and you could be laying in 512 00:26:19,240 --> 00:26:21,240 Speaker 1: your bed tonight, and you could start thinking about getting 513 00:26:21,240 --> 00:26:23,399 Speaker 1: eaten by shark. You know that the chances of a 514 00:26:23,440 --> 00:26:25,399 Speaker 1: shark being out of the Pacific Ocean and making it 515 00:26:25,480 --> 00:26:28,800 Speaker 1: up there at that theorial even if you had nuber 516 00:26:30,000 --> 00:26:33,520 Speaker 1: when we are virtually zero, but you could have the 517 00:26:33,640 --> 00:26:36,600 Speaker 1: exact same reaction. How is it that I could have 518 00:26:36,760 --> 00:26:38,800 Speaker 1: the same reaction to the presence of a real fears 519 00:26:38,800 --> 00:26:41,840 Speaker 1: and entirely imagine fear because at their core, at the 520 00:26:41,920 --> 00:26:45,040 Speaker 1: hub or all these spokes meet, it's the same thing. 521 00:26:45,320 --> 00:26:48,600 Speaker 1: It's a rise in catecola means. So if we know 522 00:26:48,840 --> 00:26:52,080 Speaker 1: fear can be born from a rise in caatecola means, 523 00:26:52,080 --> 00:26:55,159 Speaker 1: then we know anxiety and anxiousness can be from a 524 00:26:55,240 --> 00:26:57,879 Speaker 1: rise in catcola means. This is why so many people 525 00:26:57,920 --> 00:27:03,040 Speaker 1: that have anxiety or it's anxiousness. Very often we'll say, 526 00:27:03,040 --> 00:27:05,200 Speaker 1: I've had it on and off throughout my entire lifetime, 527 00:27:05,359 --> 00:27:08,080 Speaker 1: and I cannot point to the specific trigger that causes it. 528 00:27:08,359 --> 00:27:09,959 Speaker 1: They could be sitting on a podcast like we are 529 00:27:10,040 --> 00:27:13,480 Speaker 1: right now, very calm, their staff around, nothing to be 530 00:27:13,520 --> 00:27:16,520 Speaker 1: afraid of, and all of a sudden become overwhelmed with anxiety. 531 00:27:17,200 --> 00:27:20,520 Speaker 1: So and then we take it a step further and 532 00:27:20,560 --> 00:27:23,159 Speaker 1: we say, well, where these neurotransmitters come from? How do 533 00:27:23,200 --> 00:27:25,680 Speaker 1: we make neurotransmitters? Well, the majority of these are made 534 00:27:25,720 --> 00:27:29,240 Speaker 1: in the gut. Serotonin, for example, it's methylated in the gut. 535 00:27:29,280 --> 00:27:31,160 Speaker 1: We take a simple amino acid called trip the fan 536 00:27:31,240 --> 00:27:34,320 Speaker 1: we methylated into the neurotransmitter serotonin. It travels up the 537 00:27:34,320 --> 00:27:37,000 Speaker 1: biggest nerve and it creates a mood. We take feml 538 00:27:37,080 --> 00:27:39,520 Speaker 1: alanine and tyrosine and we turn those into dopamine, the 539 00:27:39,520 --> 00:27:42,160 Speaker 1: main driver of behavior. So if we know that mood 540 00:27:42,200 --> 00:27:47,600 Speaker 1: and behavior driven by neurotransmitters that are derived from amino acids, 541 00:27:47,960 --> 00:27:50,920 Speaker 1: then why isn't it possible that deficiencies and amino acids 542 00:27:51,160 --> 00:27:54,800 Speaker 1: could give rise to deficiencies and neurotransmitters. We could then 543 00:27:54,840 --> 00:27:58,800 Speaker 1: be interpreted as a mental illness. And again I am 544 00:27:58,800 --> 00:28:01,800 Speaker 1: not trying to oversimplify mental illness by any by any means, 545 00:28:01,840 --> 00:28:04,960 Speaker 1: I believe in therapy. I also believe that you know, 546 00:28:05,040 --> 00:28:11,040 Speaker 1: meds do work in many cases. But why wouldn't we 547 00:28:11,119 --> 00:28:14,560 Speaker 1: start first? If we define, for example, depression as an 548 00:28:14,600 --> 00:28:17,640 Speaker 1: inadequate supply of serotonin, then why are we not trying 549 00:28:17,680 --> 00:28:22,400 Speaker 1: to raise the level serotonin? If we define some addictive 550 00:28:22,440 --> 00:28:25,320 Speaker 1: tendencies as an inadequate supply of dopamine. The absence of 551 00:28:25,359 --> 00:28:27,840 Speaker 1: dopamine is the presence of addiction. One of the reasons 552 00:28:27,840 --> 00:28:30,520 Speaker 1: why addiction has a tendency to shift is because we 553 00:28:30,560 --> 00:28:34,440 Speaker 1: never treat the dopamine deficiency. We only treat the physical addiction. Right, 554 00:28:34,520 --> 00:28:37,680 Speaker 1: So these are why drug addicts become alcoholics, alcoholics become 555 00:28:38,200 --> 00:28:42,600 Speaker 1: work alcoholics, work altoholics become workaholics. You know, you shift 556 00:28:42,640 --> 00:28:46,360 Speaker 1: one addiction for another because that deficiency in dopamine drives 557 00:28:46,400 --> 00:28:50,240 Speaker 1: you to want to feel normal. And this is where 558 00:28:50,280 --> 00:28:52,880 Speaker 1: I believe most addictions starts is the search for normalcy, 559 00:28:53,000 --> 00:28:55,840 Speaker 1: not the search for a high. Right. I don't believe 560 00:28:55,840 --> 00:28:58,040 Speaker 1: that most most addicts woke up one day and said 561 00:28:58,480 --> 00:29:00,560 Speaker 1: I want to get really banged up. They woke up 562 00:29:00,600 --> 00:29:02,560 Speaker 1: one day and said I want to feel normal or 563 00:29:02,680 --> 00:29:05,760 Speaker 1: numb or numb numb, yeah, yeah. And in this search 564 00:29:05,800 --> 00:29:08,760 Speaker 1: for that numbness or the search for that normalcy, whether 565 00:29:08,800 --> 00:29:12,600 Speaker 1: it was alcohol or nicotine or permiscuity or what have you, 566 00:29:12,640 --> 00:29:15,200 Speaker 1: they felt that that either that numbness or that sense 567 00:29:15,200 --> 00:29:18,440 Speaker 1: of normalcy, and then the addiction grew from that, and 568 00:29:18,480 --> 00:29:22,600 Speaker 1: so they were then running from a low, not running 569 00:29:22,640 --> 00:29:24,800 Speaker 1: towards a high. And this is one of the reasons 570 00:29:24,800 --> 00:29:27,200 Speaker 1: why I have so much empathy for people that are 571 00:29:27,200 --> 00:29:29,280 Speaker 1: trapped in the cycle of addiction. And I think that 572 00:29:29,960 --> 00:29:33,840 Speaker 1: more addictive therapy needs to address these dopamine deficiencies. But 573 00:29:34,280 --> 00:29:40,520 Speaker 1: now we're getting down to the possibility that nutrient deficiencies 574 00:29:40,520 --> 00:29:43,920 Speaker 1: could give rise to neurotransmitter deficiencies that could give rise 575 00:29:43,960 --> 00:29:48,360 Speaker 1: to states of mental instability. And then we label this 576 00:29:48,560 --> 00:29:51,680 Speaker 1: mental illness. You have add ADHD, you have OCD, you 577 00:29:51,720 --> 00:29:54,000 Speaker 1: have manic depression, you have bipolar, you have schizophrenia, you 578 00:29:54,040 --> 00:29:58,880 Speaker 1: have generalized anxiety, you have generalized depression, which I personally 579 00:29:58,880 --> 00:30:02,040 Speaker 1: think our nonsense. Again, I'm not attacking their mental health profession. 580 00:30:02,560 --> 00:30:05,640 Speaker 1: When you deprive the human body of certain raw materials, 581 00:30:05,960 --> 00:30:10,080 Speaker 1: you get the expression of disease. And we accept this 582 00:30:10,520 --> 00:30:13,040 Speaker 1: in so many different areas of medicine, but we don't 583 00:30:13,080 --> 00:30:15,959 Speaker 1: really accept it in mental illness, right, I mean, how 584 00:30:16,360 --> 00:30:20,840 Speaker 1: how is a leading PhD from Harvard having success treating 585 00:30:20,880 --> 00:30:24,360 Speaker 1: drug resistant mental illness with diet, Because it's not the diet, 586 00:30:24,360 --> 00:30:28,480 Speaker 1: it's the nutrients that they were deficient in. And how 587 00:30:28,600 --> 00:30:33,000 Speaker 1: is it that people that experience high rates of anxiety 588 00:30:33,080 --> 00:30:38,240 Speaker 1: and anxiousness, and attention deficit disorder or attention deficit hyperactivity 589 00:30:38,240 --> 00:30:41,560 Speaker 1: disorder can sometimes do something as simple as take a 590 00:30:41,680 --> 00:30:47,120 Speaker 1: methylated multi vitamin and experience a dramatic reduction in their symptoms. 591 00:30:47,640 --> 00:30:51,320 Speaker 1: Because nutrients matter. The human beings such a the human 592 00:30:51,320 --> 00:30:53,040 Speaker 1: body is such a fascinating machine. 593 00:30:53,200 --> 00:30:53,360 Speaker 2: You know. 594 00:30:53,400 --> 00:30:57,400 Speaker 1: It's the more you study human physiology, the more you 595 00:30:57,880 --> 00:31:02,280 Speaker 1: believe in God. Because there's no way that this was 596 00:31:02,360 --> 00:31:06,040 Speaker 1: just assembled by accident or by chance over time. Right, 597 00:31:06,960 --> 00:31:08,720 Speaker 1: I don't care how much time you give two bacteria 598 00:31:08,720 --> 00:31:10,480 Speaker 1: in a mud puddle, you're never going to get a 599 00:31:10,520 --> 00:31:13,840 Speaker 1: human being out of it. And the intelligence with which 600 00:31:13,840 --> 00:31:17,560 Speaker 1: it's designed. How one raw material enters a cycle, it 601 00:31:17,600 --> 00:31:20,280 Speaker 1: gets used, it creates waste, and then that waste is 602 00:31:20,800 --> 00:31:24,360 Speaker 1: accepted and taken into another cycle and it's utilized, and 603 00:31:24,560 --> 00:31:27,040 Speaker 1: it's like one man's trash is another man's treasure. And 604 00:31:27,480 --> 00:31:30,800 Speaker 1: cellular metabolism is so fascinating because one amino acid enters 605 00:31:30,800 --> 00:31:33,640 Speaker 1: a cycle and it gets converted into something completely different. 606 00:31:33,640 --> 00:31:38,360 Speaker 1: Homocysteine gets it's metabolized into methionine. Homocysteine then can be 607 00:31:38,400 --> 00:31:40,880 Speaker 1: one of the most inflammatory compounds in the human body. 608 00:31:40,960 --> 00:31:43,760 Speaker 1: This gets metabolized into mathiony, which then goes up into 609 00:31:43,800 --> 00:31:48,000 Speaker 1: the mind and quiets the mind by dismantling by by 610 00:31:48,480 --> 00:31:52,080 Speaker 1: essentially down regulating Catechola means these fire or flight neurotransmitters, 611 00:31:52,120 --> 00:31:55,800 Speaker 1: so puts people into a calm state of being calm. 612 00:31:56,040 --> 00:31:58,560 Speaker 1: So then you start to understand, Well, the majority of 613 00:31:58,560 --> 00:32:02,800 Speaker 1: people that have leap disturbance have one or two types 614 00:32:02,840 --> 00:32:05,240 Speaker 1: of sleep patterns. They are either lay down to go 615 00:32:05,280 --> 00:32:08,840 Speaker 1: to sleep, body tired, and they are mind awake. So 616 00:32:08,880 --> 00:32:11,680 Speaker 1: when their environment quiets, their mind wakes up. Why does 617 00:32:11,800 --> 00:32:14,360 Speaker 1: mind wake up when the environment quiets, because you have 618 00:32:14,360 --> 00:32:18,440 Speaker 1: excess catechola means in the brain, there's a gene mutation 619 00:32:18,560 --> 00:32:23,520 Speaker 1: called comp T c MT catechyl omethyl transferrase. It's a 620 00:32:23,560 --> 00:32:26,080 Speaker 1: fancy way of saying the gene the codes for the 621 00:32:26,200 --> 00:32:30,760 Speaker 1: enzyme that that breaks down this class of neurotransmitters that 622 00:32:31,000 --> 00:32:33,959 Speaker 1: down regulates them. Well, let's say that this gene mutation, 623 00:32:34,120 --> 00:32:37,560 Speaker 1: you have this and you have an imperatability to downregulate 624 00:32:37,600 --> 00:32:40,800 Speaker 1: catcola means. That doesn't sound like a big deal until 625 00:32:40,840 --> 00:32:43,800 Speaker 1: you realize that catechola means create a wakened state in 626 00:32:43,840 --> 00:32:47,360 Speaker 1: the brain. And so this waken state usually happens at 627 00:32:47,400 --> 00:32:49,160 Speaker 1: night and somebody will lay there and they will just 628 00:32:49,520 --> 00:32:53,760 Speaker 1: think about the most innocuous little thoughts while they are exhausted. 629 00:32:54,160 --> 00:32:56,320 Speaker 1: They're just like, did I get everything on my grocery list? 630 00:32:56,760 --> 00:32:59,680 Speaker 1: Did my belt match my shoes? We changed the junior 631 00:32:59,720 --> 00:33:03,440 Speaker 1: label to fusia from dark blue, you know, and you're like, 632 00:33:03,560 --> 00:33:05,720 Speaker 1: why am I thinking about this at two thirty in 633 00:33:05,800 --> 00:33:07,480 Speaker 1: the morning, right, Or you get up to use the 634 00:33:07,520 --> 00:33:09,520 Speaker 1: restroom and you go back to bed and you lay 635 00:33:09,520 --> 00:33:12,320 Speaker 1: there and your minds awake. And so you don't have 636 00:33:12,360 --> 00:33:15,240 Speaker 1: a sleep disorder. You don't have a mental disorder, you 637 00:33:15,280 --> 00:33:18,480 Speaker 1: don't have generalized anxiety, you don't have a mood disorder. 638 00:33:18,680 --> 00:33:22,720 Speaker 1: You have excess catecola means in the brain, and very 639 00:33:22,720 --> 00:33:25,720 Speaker 1: often these can be downregulated very simply with complexes of 640 00:33:25,720 --> 00:33:31,160 Speaker 1: B vitamins, methylated B twelve methyl fol eight, the raw 641 00:33:31,200 --> 00:33:35,320 Speaker 1: material that the body needs to downregulate these. And by 642 00:33:36,080 --> 00:33:38,000 Speaker 1: not giving the body the raw material, we get this 643 00:33:38,040 --> 00:33:40,000 Speaker 1: expression of disease, and then we say this person has 644 00:33:40,000 --> 00:33:40,560 Speaker 1: this condition. 645 00:33:41,240 --> 00:33:41,440 Speaker 2: You know. 646 00:33:42,360 --> 00:33:43,960 Speaker 1: I tell the same story all the time a lot 647 00:33:44,000 --> 00:33:45,840 Speaker 1: about when I was in grad school and I took 648 00:33:45,880 --> 00:33:50,520 Speaker 1: these these plant botany courses, which I didn't like to 649 00:33:50,560 --> 00:33:52,880 Speaker 1: take because I wanted to get a human biology degree 650 00:33:52,880 --> 00:33:58,520 Speaker 1: and I had to study algae that wasn't wasn't super interesting. 651 00:33:58,200 --> 00:34:00,400 Speaker 2: Today, That's what was so interesting about right up. I 652 00:34:00,600 --> 00:34:03,120 Speaker 2: remember there's so many subjects now, I'm like, if I 653 00:34:03,160 --> 00:34:06,840 Speaker 2: knew that neuroscience was a of you know, looking at 654 00:34:07,000 --> 00:34:08,719 Speaker 2: biology and so many other things, I would have been 655 00:34:08,719 --> 00:34:09,239 Speaker 2: fascinated by. 656 00:34:09,520 --> 00:34:10,160 Speaker 1: Right exactly. 657 00:34:10,960 --> 00:34:11,480 Speaker 2: I didn't care. 658 00:34:11,920 --> 00:34:14,080 Speaker 1: Yeah, me too. I really could have cared less about 659 00:34:14,080 --> 00:34:16,040 Speaker 1: playing biology. But and then you know, and then you 660 00:34:16,080 --> 00:34:18,719 Speaker 1: have to start a rock stratus and and you know, 661 00:34:18,840 --> 00:34:20,399 Speaker 1: fossil lineages and all this. 662 00:34:20,360 --> 00:34:21,240 Speaker 2: Other kind of stuff. 663 00:34:21,280 --> 00:34:23,840 Speaker 1: And I'm like, who makes a career out of this? 664 00:34:25,640 --> 00:34:28,400 Speaker 1: But but you can actually get a degree in traffic 665 00:34:28,480 --> 00:34:31,600 Speaker 1: management too, So I guess that I'd rather study rocks 666 00:34:31,640 --> 00:34:35,920 Speaker 1: than traffic. No offense to the traffic experts out there. 667 00:34:36,000 --> 00:34:41,759 Speaker 1: You guys are killing it. But uh but you know 668 00:34:42,160 --> 00:34:49,200 Speaker 1: when we start to realize that, I'm just we cut 669 00:34:49,280 --> 00:34:56,400 Speaker 1: that out. Just lost half your audience right there, Like, 670 00:34:56,480 --> 00:34:59,160 Speaker 1: don't don't offend the traffic eyes, dude, somebody's got to 671 00:34:59,200 --> 00:35:00,759 Speaker 1: figure out when these it's going and. 672 00:35:00,640 --> 00:35:05,839 Speaker 2: Off sorry, I tell I'm just having a good time. 673 00:35:06,239 --> 00:35:08,239 Speaker 1: I'm having a good time too, But I don't know 674 00:35:08,320 --> 00:35:10,600 Speaker 1: how we got down that road. But in any case, 675 00:35:10,640 --> 00:35:16,160 Speaker 1: you know when you when when you're studying plans, all right. 676 00:35:16,040 --> 00:35:19,360 Speaker 2: I gotta go. I don't know why that's so funny. 677 00:35:19,760 --> 00:35:21,800 Speaker 1: Hopefully I hope your listeners think it's so funny. But 678 00:35:21,800 --> 00:35:24,680 Speaker 1: when you're studying plants and you will cut it, maybe 679 00:35:24,680 --> 00:35:26,880 Speaker 1: we should leave it in. Actually I kind of like it. 680 00:35:27,960 --> 00:35:29,960 Speaker 1: You don't think you have a lot of traffic experts 681 00:35:29,960 --> 00:35:32,600 Speaker 1: to listen to the podcast now, probably probably a very look. 682 00:35:32,719 --> 00:35:35,719 Speaker 1: You probably lose two followers on that. It's worth it. 683 00:35:36,000 --> 00:35:37,920 Speaker 1: You know, if you have a leaf that's rotting in 684 00:35:37,960 --> 00:35:40,200 Speaker 1: the top of your palm tree and you call it, 685 00:35:40,280 --> 00:35:42,680 Speaker 1: true arborist, a true botanist down to your house, and 686 00:35:42,760 --> 00:35:45,839 Speaker 1: you know, they'll look at that leaf and they won't 687 00:35:45,840 --> 00:35:48,040 Speaker 1: touch the leaf. They won't even touch the tree. They'll 688 00:35:48,040 --> 00:35:51,640 Speaker 1: cortest the soil and they'll say, you know what, there's 689 00:35:51,680 --> 00:35:55,120 Speaker 1: no nitrogen in this soil, and they'll add nitrogen to 690 00:35:55,200 --> 00:35:58,640 Speaker 1: the soil and the leaf will heal. We stopped thinking 691 00:35:58,640 --> 00:36:02,480 Speaker 1: about human beings this way. We go very quickly to chemicals. 692 00:36:02,600 --> 00:36:06,800 Speaker 1: And synthetics pharmaceuticals as a way to solve potential nutrient 693 00:36:06,840 --> 00:36:11,680 Speaker 1: efficiencies in the human body. And we're fascinating machines like plants, 694 00:36:12,000 --> 00:36:15,760 Speaker 1: and when if you didn't add nitrogen to that soil, 695 00:36:16,640 --> 00:36:19,600 Speaker 1: all of the things that were good for that plant 696 00:36:20,200 --> 00:36:22,239 Speaker 1: would have done nothing. Right, You're like, well, maybe we 697 00:36:22,239 --> 00:36:24,200 Speaker 1: should water it. Water is great for plants. When you 698 00:36:24,239 --> 00:36:25,799 Speaker 1: put water on there and nothing happens, maybe we should 699 00:36:25,800 --> 00:36:28,600 Speaker 1: add solfur. Sulfur is great for plants, and you put sulfur, 700 00:36:28,719 --> 00:36:30,160 Speaker 1: you put peat moss on there, and you're like, peat 701 00:36:30,200 --> 00:36:33,399 Speaker 1: musca is great for plants. And this happens in human 702 00:36:33,440 --> 00:36:35,879 Speaker 1: beings too. We don't get data, so we actually never 703 00:36:36,120 --> 00:36:39,359 Speaker 1: find the nitrogen. We never find the raw material that's 704 00:36:39,400 --> 00:36:43,680 Speaker 1: actually missing that's causing the expression of disease. And this 705 00:36:43,880 --> 00:36:47,440 Speaker 1: is how most people wander their way through their supplement routine. 706 00:36:47,080 --> 00:36:51,400 Speaker 1: They get they get lost in the myriad of great 707 00:36:51,520 --> 00:36:55,160 Speaker 1: supplements and they start supplementing for the sake of supplement 708 00:36:55,200 --> 00:36:57,280 Speaker 1: well and and good. Yeah it's great. It raises any 709 00:36:57,360 --> 00:36:59,719 Speaker 1: d levels. Is res vitrial good? Yeah, it can Lengthen 710 00:36:59,719 --> 00:37:02,839 Speaker 1: tell them is Saint John's worth good? Is oshwaganda? Good. 711 00:37:03,000 --> 00:37:05,719 Speaker 1: Is sapplemental good? Should I take COQ ten? I mean, 712 00:37:05,960 --> 00:37:08,440 Speaker 1: you could make an argument for all of these different 713 00:37:08,440 --> 00:37:12,319 Speaker 1: things that we could supplement with, but like the missing 714 00:37:12,480 --> 00:37:14,960 Speaker 1: raw material, like the missing nitrogen in the soil, if 715 00:37:15,000 --> 00:37:18,640 Speaker 1: you don't find the deficiency, none of that matters. And 716 00:37:18,680 --> 00:37:20,720 Speaker 1: that's why I tell people that they should get data 717 00:37:21,000 --> 00:37:23,400 Speaker 1: on their body. You know, there's seventy four biomarkers that 718 00:37:23,520 --> 00:37:24,840 Speaker 1: I look at in the blood. They're write up on 719 00:37:24,880 --> 00:37:27,319 Speaker 1: my Instagram. If anybody wants to take those biomarkers off 720 00:37:27,320 --> 00:37:30,240 Speaker 1: my Instagram, take them to your doctor, your your healthcare 721 00:37:30,280 --> 00:37:32,160 Speaker 1: practitioner and say, hey, will you look at these in 722 00:37:32,200 --> 00:37:34,319 Speaker 1: my blood and have your doctor interpret those. That's a 723 00:37:34,320 --> 00:37:37,680 Speaker 1: great place to start. I put the genes that I 724 00:37:37,680 --> 00:37:40,920 Speaker 1: think are the most impactful for mental health and for 725 00:37:40,960 --> 00:37:43,279 Speaker 1: gut health, and for mood and for anxiety and for 726 00:37:43,360 --> 00:37:46,960 Speaker 1: quieting the mind, and for the research that I've been 727 00:37:47,000 --> 00:37:49,760 Speaker 1: able to uncover on add and ADHD and poor sleep, 728 00:37:50,800 --> 00:37:53,600 Speaker 1: poor focus, and concentration. And you could take those five 729 00:37:53,680 --> 00:37:56,880 Speaker 1: genes and you can, you know, find a genetic methilation 730 00:37:57,760 --> 00:37:59,920 Speaker 1: counselor or find a place to get a genetic methylation 731 00:38:00,160 --> 00:38:03,880 Speaker 1: test and get data so that you go, you know, 732 00:38:03,920 --> 00:38:05,520 Speaker 1: like you were telling me, but when we sat down 733 00:38:05,560 --> 00:38:07,319 Speaker 1: before the podcast, you're telling me where you got to 734 00:38:07,320 --> 00:38:10,920 Speaker 1: get your blood work done. That's great because you're getting data, 735 00:38:11,160 --> 00:38:14,719 Speaker 1: You're not just aimlessly wandering around going. I don't know 736 00:38:14,760 --> 00:38:16,560 Speaker 1: if I feel good. I don't know if I feel normal. 737 00:38:16,600 --> 00:38:18,440 Speaker 1: I don't know if I could feel better. I don't 738 00:38:18,480 --> 00:38:21,000 Speaker 1: know if maybe some of the little nagging things that 739 00:38:21,040 --> 00:38:22,279 Speaker 1: are going on in my life. And I don't know 740 00:38:22,320 --> 00:38:24,680 Speaker 1: if you have any but of course, yeah, yeah. I 741 00:38:24,680 --> 00:38:27,040 Speaker 1: mean I'm not sleeping as good as I could work 742 00:38:27,040 --> 00:38:28,880 Speaker 1: it out, and I don't have a response to exercise 743 00:38:28,960 --> 00:38:30,879 Speaker 1: like I wanted. I feel like my focus is off, 744 00:38:30,920 --> 00:38:33,040 Speaker 1: you know, my waking energy is a little I. 745 00:38:33,040 --> 00:38:34,640 Speaker 2: Was gonna ask you idea about that because I think 746 00:38:34,640 --> 00:38:37,600 Speaker 2: a lot of people feel and I want to talk 747 00:38:37,640 --> 00:38:39,719 Speaker 2: about some of the symptoms that I hear from our community, 748 00:38:39,719 --> 00:38:42,680 Speaker 2: our audience and what people feel and to get your 749 00:38:43,000 --> 00:38:44,880 Speaker 2: take on how to combat that. So one of the 750 00:38:44,920 --> 00:38:47,200 Speaker 2: biggest things I hear from people is, Jim, I'm just 751 00:38:47,239 --> 00:38:50,160 Speaker 2: feeling brain fog, all right. I'm just feeling like I 752 00:38:50,160 --> 00:38:53,479 Speaker 2: have no clarity, like I struggle to make decisions. I'm 753 00:38:53,800 --> 00:38:56,840 Speaker 2: feeling a sense of low energy and so like I'm lethargic, 754 00:38:57,000 --> 00:39:01,760 Speaker 2: Like these are very common things. So with what's going on, then, well. 755 00:39:01,600 --> 00:39:05,719 Speaker 1: I mean everything that you feel about energy, like when 756 00:39:05,719 --> 00:39:08,960 Speaker 1: you say I don't have I'm low on energy, physiologically, 757 00:39:09,040 --> 00:39:11,480 Speaker 1: what you're saying is I'm low on oxygen in my blood. 758 00:39:11,719 --> 00:39:14,719 Speaker 1: Because everything that you perceive about energy is nothing more 759 00:39:14,760 --> 00:39:18,080 Speaker 1: than oxygen in your blood. So if oxygen equals energy, 760 00:39:18,080 --> 00:39:20,239 Speaker 1: which it does, then if I want to raise your 761 00:39:20,360 --> 00:39:23,200 Speaker 1: energy level, I need to improve the oxidative state. And 762 00:39:23,239 --> 00:39:25,040 Speaker 1: how do I do that? Well, one of the ways, 763 00:39:25,040 --> 00:39:26,799 Speaker 1: and I'm not saying this is the only way, but 764 00:39:26,880 --> 00:39:30,840 Speaker 1: one of the physiologic pathways is if we know energy 765 00:39:30,880 --> 00:39:32,759 Speaker 1: equals oxygen, then we take it a step further and 766 00:39:32,760 --> 00:39:35,920 Speaker 1: we say, well, what carries oxygen around the human body? Well, 767 00:39:36,040 --> 00:39:39,360 Speaker 1: red blood cell carries oxygen inside of a fluid. And 768 00:39:39,400 --> 00:39:43,799 Speaker 1: I'm simplifying for you ultra work biohackers, but the you know, 769 00:39:43,800 --> 00:39:46,080 Speaker 1: the red blood cell carries oxygen inside of a fluid 770 00:39:46,120 --> 00:39:50,520 Speaker 1: called hemoglobin. So if I'm low on red blood cells, right, 771 00:39:50,719 --> 00:39:53,319 Speaker 1: I'm low on vehicles to carry oxygen. If those red 772 00:39:53,320 --> 00:39:57,200 Speaker 1: blood cells are further deficient in hemoglobin. Then the few 773 00:39:57,239 --> 00:39:59,640 Speaker 1: cells that I have that are able to carry oxygen 774 00:39:59,640 --> 00:40:04,040 Speaker 1: have less fluid to carry oxygen. Therefore I'm hypoxic and 775 00:40:04,080 --> 00:40:07,000 Speaker 1: it hides in plain sight. So then the question becomes, 776 00:40:07,200 --> 00:40:09,040 Speaker 1: we're red blood cells and hemoglobe and made well, they're 777 00:40:09,040 --> 00:40:11,359 Speaker 1: made in the bone marrow. So how do I get 778 00:40:11,400 --> 00:40:14,160 Speaker 1: the bone marrow to make more red blood cells and hemoglobe? 779 00:40:14,200 --> 00:40:17,080 Speaker 1: And I go to the bone marrow's boss, which is 780 00:40:17,080 --> 00:40:21,600 Speaker 1: the hormone testosterone. In men and women, one of the 781 00:40:21,680 --> 00:40:24,640 Speaker 1: roles of testosterone is eureythropoesis to put pressure on the 782 00:40:24,640 --> 00:40:27,480 Speaker 1: bone marrow to make new red blood cells. And in 783 00:40:27,560 --> 00:40:31,360 Speaker 1: nearly every case where we see clinically deficient levels of 784 00:40:31,400 --> 00:40:36,120 Speaker 1: this hormone, testosterone free testosterone, we see red blood cells 785 00:40:36,160 --> 00:40:39,080 Speaker 1: and hemoglobin towards the low end of the range. And 786 00:40:39,160 --> 00:40:42,160 Speaker 1: then you look at well, what is testosterone made from? Well, 787 00:40:42,160 --> 00:40:45,080 Speaker 1: it mean it's made from several things, but largely from DHA. 788 00:40:45,440 --> 00:40:47,760 Speaker 1: So if I'm a deficient DHA, you should get that fixed. 789 00:40:47,800 --> 00:40:53,279 Speaker 1: And what is the next macronutrient below DHA? Vitamin D three? 790 00:40:54,280 --> 00:40:59,600 Speaker 1: So you go oxygen, red blood cells, bone marrow, hormone 791 00:40:59,600 --> 00:41:02,640 Speaker 1: testound DHA D three. So if you start in the 792 00:41:02,719 --> 00:41:05,040 Speaker 1: route and you raise your D three level to the 793 00:41:05,320 --> 00:41:08,760 Speaker 1: optinal functional range, which I think most practitioners would agree 794 00:41:08,760 --> 00:41:11,120 Speaker 1: is between sixty and eighty, and then you raise your 795 00:41:11,200 --> 00:41:13,680 Speaker 1: DHA into the optimal range, and you wait to see 796 00:41:13,719 --> 00:41:20,160 Speaker 1: if your hormones respond, and if your testosteron rises, especially 797 00:41:20,160 --> 00:41:22,759 Speaker 1: your free testosterone rises, your red blood cell count and 798 00:41:22,840 --> 00:41:25,359 Speaker 1: hemoglobin will go up. As your red blood cell count 799 00:41:25,360 --> 00:41:27,759 Speaker 1: and hemoglobe and level rise, the amount of oxygen that 800 00:41:27,800 --> 00:41:29,839 Speaker 1: you transport and your blood will rise, and you will 801 00:41:29,840 --> 00:41:32,480 Speaker 1: perceive that as more energy. You will perceive that as 802 00:41:32,520 --> 00:41:36,680 Speaker 1: improved focus and concentration, and your sleep will deepen. Why 803 00:41:36,760 --> 00:41:40,399 Speaker 1: because in low respiratory states, when our respiratory rate gets 804 00:41:40,440 --> 00:41:43,839 Speaker 1: very shallow, we want our blood to be very good 805 00:41:43,880 --> 00:41:48,400 Speaker 1: at carrying oxygen. Because if you're already poorly transporting oxygen 806 00:41:48,560 --> 00:41:50,600 Speaker 1: and then you try to get into a deep sleep 807 00:41:50,640 --> 00:41:53,280 Speaker 1: and your respiratory rate drops and you get to where 808 00:41:53,640 --> 00:41:57,920 Speaker 1: you are hypoxic, your brain will wake you up. It 809 00:41:57,960 --> 00:42:02,400 Speaker 1: will wake you up by pulsing cortisol. And so people 810 00:42:02,440 --> 00:42:07,239 Speaker 1: that have that are exhausted sleep the worst. And ask 811 00:42:07,280 --> 00:42:09,560 Speaker 1: a physician sometime, why is it that people that are 812 00:42:09,600 --> 00:42:12,440 Speaker 1: the most exhausted sleep the worst. They very rarely connect 813 00:42:12,680 --> 00:42:14,640 Speaker 1: the fact that they're law on oxygen, which is why 814 00:42:14,640 --> 00:42:17,480 Speaker 1: they're tired and have brain fog, and they're law on oxygen, 815 00:42:17,480 --> 00:42:20,319 Speaker 1: which is why they're not sleeping because their brain is 816 00:42:21,400 --> 00:42:23,440 Speaker 1: waking them up. And then they do the worst thing. 817 00:42:23,480 --> 00:42:25,600 Speaker 1: They go to their doctor and they go, I can't sleep, 818 00:42:26,200 --> 00:42:28,359 Speaker 1: and so then the doctor suggests something like a solid 819 00:42:28,400 --> 00:42:33,200 Speaker 1: pedum nitrate diazepam, you know, anesta ambient, and essentially they 820 00:42:33,239 --> 00:42:37,440 Speaker 1: tranquilize you. And what's happening when you take a lot 821 00:42:37,440 --> 00:42:39,120 Speaker 1: of these sleep medications, not all of them, but when 822 00:42:39,120 --> 00:42:41,239 Speaker 1: you take a lot of these sleep medications is you're 823 00:42:41,280 --> 00:42:43,840 Speaker 1: in a low oxidative state, so your brain's trying to 824 00:42:43,880 --> 00:42:46,560 Speaker 1: save your life and wake you up. And then you 825 00:42:46,600 --> 00:42:49,240 Speaker 1: take a sleep medication and you block the brain's view 826 00:42:49,680 --> 00:42:53,600 Speaker 1: a blood oxygen, so now the brain can't isn't able 827 00:42:53,680 --> 00:42:56,480 Speaker 1: to try to save your life and wake you up, 828 00:42:56,600 --> 00:42:59,480 Speaker 1: and so now you get into a deep sleep and 829 00:42:59,600 --> 00:43:01,640 Speaker 1: you wake up the next morning you go, man, I 830 00:43:01,760 --> 00:43:04,600 Speaker 1: hate taking tile in all PM because it is I 831 00:43:04,640 --> 00:43:07,439 Speaker 1: am so groggy. It's still in my system the next morning. 832 00:43:07,520 --> 00:43:09,520 Speaker 1: It's actually not true that that drug's been out of 833 00:43:09,520 --> 00:43:12,000 Speaker 1: your system for hours. You're feeling the effects of having 834 00:43:12,000 --> 00:43:17,840 Speaker 1: suffocated for six hours and so suffocating yourself to sleep 835 00:43:17,960 --> 00:43:22,000 Speaker 1: and then and then now you've slept, but you get 836 00:43:22,040 --> 00:43:24,560 Speaker 1: up from this sleep medication and you are still exhausted 837 00:43:24,719 --> 00:43:28,040 Speaker 1: and you still have brain fall. So there are other 838 00:43:28,160 --> 00:43:31,200 Speaker 1: potential causes, but but you know that is the one, 839 00:43:31,560 --> 00:43:34,160 Speaker 1: the one. The one nice thing about the clinics that 840 00:43:34,200 --> 00:43:36,399 Speaker 1: we have is, you know, we see twenty thousand new 841 00:43:36,560 --> 00:43:40,000 Speaker 1: new gene test patients a month. We see thousands of 842 00:43:40,080 --> 00:43:43,000 Speaker 1: new blood test patients a month, so we do we 843 00:43:43,040 --> 00:43:46,839 Speaker 1: do have voluminous polls of data. And some might say, well, 844 00:43:46,840 --> 00:43:49,120 Speaker 1: it has never been put through a randomized clinical trial, 845 00:43:49,160 --> 00:43:51,799 Speaker 1: but it's and it's anecdotal, but it's actually not anecdotal. 846 00:43:51,840 --> 00:43:54,759 Speaker 1: When you see pools of data as large as we 847 00:43:54,800 --> 00:43:58,640 Speaker 1: see them, you know, you can say, listen, if you 848 00:43:58,800 --> 00:44:02,720 Speaker 1: have if you you are clinically deficient and free testosterone, 849 00:44:02,760 --> 00:44:06,080 Speaker 1: you are very likely to have low red blood cell count. 850 00:44:06,160 --> 00:44:08,439 Speaker 1: The reason why people feel so good when they get 851 00:44:08,480 --> 00:44:11,319 Speaker 1: on hormones or when they supplement in their hormones return 852 00:44:11,400 --> 00:44:14,560 Speaker 1: to the normal range is because the effect of those 853 00:44:14,600 --> 00:44:18,960 Speaker 1: hormones returning to the normal range reoxidizes the blood. For 854 00:44:19,440 --> 00:44:25,360 Speaker 1: lack of better words, brain fog has to do with access. 855 00:44:25,440 --> 00:44:25,600 Speaker 2: You know. 856 00:44:25,640 --> 00:44:30,040 Speaker 1: It's like in the disease Alzheimer's. You know, it's not 857 00:44:30,080 --> 00:44:32,480 Speaker 1: so much that people are losing their memory, it's that 858 00:44:32,480 --> 00:44:35,600 Speaker 1: they're losing access to their memory, right, and in the 859 00:44:35,640 --> 00:44:39,560 Speaker 1: early stages access can be restored, and there's this significant 860 00:44:39,600 --> 00:44:42,200 Speaker 1: difference between the memory actually fading, which it does in 861 00:44:42,200 --> 00:44:45,239 Speaker 1: the later stages, and access to the memory fading. So 862 00:44:45,320 --> 00:44:47,920 Speaker 1: the oxide dative state of the body is very important, 863 00:44:47,920 --> 00:44:50,520 Speaker 1: which is why I think people really need to get data. 864 00:44:50,560 --> 00:44:53,480 Speaker 1: If your hormones are in the optimal range, you're not 865 00:44:53,719 --> 00:44:58,239 Speaker 1: nutrient deficient, you're not insulin resistant. I'm not saying that 866 00:44:58,280 --> 00:45:00,840 Speaker 1: your blood labs need to be perfect, but by dialing 867 00:45:00,880 --> 00:45:04,560 Speaker 1: in a few markers in your hormone levels and your 868 00:45:04,640 --> 00:45:09,040 Speaker 1: nutrient levels, you can live a dramatically different life. And 869 00:45:09,080 --> 00:45:12,440 Speaker 1: in the majority of cases, probably seventy percent of the cases, 870 00:45:12,719 --> 00:45:15,759 Speaker 1: people that qualify to be on hormone therapy don't even 871 00:45:15,800 --> 00:45:19,759 Speaker 1: need hormones. They need the nutrients to make hormones, and 872 00:45:19,800 --> 00:45:21,560 Speaker 1: not to me is really exciting. You mean, I could 873 00:45:21,640 --> 00:45:24,759 Speaker 1: just be deficient and something like DHGA like D three. 874 00:45:25,120 --> 00:45:27,960 Speaker 1: I could have an elevated protein like SHPG, and I 875 00:45:28,000 --> 00:45:31,439 Speaker 1: could I could take something simple like boron and lower 876 00:45:31,520 --> 00:45:34,000 Speaker 1: that and raise my hormones and feel a lot better. Yes, 877 00:45:34,640 --> 00:45:36,200 Speaker 1: I'm not saying that you have to go and get 878 00:45:36,320 --> 00:45:38,839 Speaker 1: on hormone injections by any means, but I am saying 879 00:45:38,840 --> 00:45:41,440 Speaker 1: that you need to get data on the deficiency so 880 00:45:41,480 --> 00:45:44,440 Speaker 1: that you can drive a state of being optimal. Because 881 00:45:45,160 --> 00:45:49,839 Speaker 1: so many people that I work with will call me, like, 882 00:45:50,000 --> 00:45:53,240 Speaker 1: you know, weeks into our journey and say, oh my god, Gary, 883 00:45:53,280 --> 00:45:56,800 Speaker 1: I feel amazing, including like Dana White, and I'm like, 884 00:45:56,840 --> 00:45:59,399 Speaker 1: you know, you really don't feel amazing. They like what 885 00:46:00,120 --> 00:46:02,400 Speaker 1: they say, You feel normal, right, That's how normal is 886 00:46:02,480 --> 00:46:06,719 Speaker 1: supposed to feel. Yeah, you're really supposed to feel that good, right, 887 00:46:06,880 --> 00:46:08,879 Speaker 1: this was not used to that though, We're not used 888 00:46:08,920 --> 00:46:09,120 Speaker 1: to that. 889 00:46:09,239 --> 00:46:10,759 Speaker 2: Yeah, I was going to ask you, what does it 890 00:46:10,760 --> 00:46:13,680 Speaker 2: feel like? Have you worked in your clinics with women 891 00:46:13,760 --> 00:46:16,440 Speaker 2: preparing to give birth and then post giving birth? 892 00:46:16,880 --> 00:46:18,960 Speaker 1: Yes, quite a bit. In fact, our clinic director is 893 00:46:18,960 --> 00:46:22,640 Speaker 1: a board certified og y N. She's a gonecological surgeon, 894 00:46:23,280 --> 00:46:24,480 Speaker 1: she's got a double masters. 895 00:46:24,680 --> 00:46:27,359 Speaker 2: Because I feel like that journey, we still don't talk 896 00:46:27,440 --> 00:46:30,560 Speaker 2: enough about how challenging it is on the human biology. 897 00:46:30,600 --> 00:46:33,680 Speaker 1: Oh yeah, it's very challenging. I mean, if you look 898 00:46:33,719 --> 00:46:37,560 Speaker 1: at a women's you know what happens during women's mental cycle, 899 00:46:37,560 --> 00:46:40,440 Speaker 1: and you look at what happens when she becomes pregnant. 900 00:46:40,640 --> 00:46:44,440 Speaker 1: It's perfectly normal during regular cyclical periods of her cycle 901 00:46:44,480 --> 00:46:46,640 Speaker 1: for her estrogen to be as high as you know, 902 00:46:46,640 --> 00:46:48,560 Speaker 1: in the four hundred. Its perfectly normal for it to 903 00:46:48,560 --> 00:46:52,239 Speaker 1: be in the teens. So it has a very large frequency, 904 00:46:52,280 --> 00:46:54,480 Speaker 1: you know, rise and fall depending on where she is 905 00:46:54,520 --> 00:46:57,240 Speaker 1: in the cycle. Soon she becomes pregnant, you know, estrogen 906 00:46:57,280 --> 00:47:01,560 Speaker 1: goes into the four thousands, mainly because you know, one 907 00:47:01,600 --> 00:47:05,120 Speaker 1: of estrogen's primary role is to retain water, to pad 908 00:47:05,160 --> 00:47:08,319 Speaker 1: the uterus and and protect protect the fetus. Has other 909 00:47:08,480 --> 00:47:12,000 Speaker 1: other roles, but it retains water. But postpartum, you know, 910 00:47:12,080 --> 00:47:16,520 Speaker 1: want to the estrogen dominant, and you know it's it's 911 00:47:16,560 --> 00:47:20,440 Speaker 1: not necessarily for women, especially the the level of hormone. 912 00:47:20,800 --> 00:47:24,680 Speaker 1: It is the ratio of hormones in their body. And 913 00:47:25,080 --> 00:47:28,040 Speaker 1: you know, doctor Sartus, who's who's our ob g i 914 00:47:28,120 --> 00:47:34,000 Speaker 1: N is phenomenal about pre and postpartum care. She's an 915 00:47:34,160 --> 00:47:37,880 Speaker 1: enormous believer that certain gene mutations like m t H 916 00:47:37,960 --> 00:47:41,080 Speaker 1: f R which increased the frequency of miscarriage. She delivered 917 00:47:41,120 --> 00:47:45,200 Speaker 1: nine thousand babies, so she's very qualified to speak on that. 918 00:47:45,200 --> 00:47:47,399 Speaker 1: That the gene mutation that is one of the most 919 00:47:47,400 --> 00:47:49,360 Speaker 1: common g mutations in the world. The m t H 920 00:47:50,440 --> 00:47:55,440 Speaker 1: stands for methylene tetrahydrofolate reductastes. It is the gene that 921 00:47:55,640 --> 00:47:59,040 Speaker 1: codes for the conversion of folic acid and its derivatives 922 00:47:59,080 --> 00:48:03,799 Speaker 1: like folate into the usable form called methyl folate. And 923 00:48:03,840 --> 00:48:06,520 Speaker 1: this is what I mean. We have a process in 924 00:48:06,560 --> 00:48:09,440 Speaker 1: the body called methylation, which is where we take one 925 00:48:09,520 --> 00:48:15,440 Speaker 1: raw material which is useless. Fullic acid, for example, entirely 926 00:48:15,719 --> 00:48:18,600 Speaker 1: useless in human Filic acid does not prevent neural tube defects. 927 00:48:18,600 --> 00:48:22,720 Speaker 1: It doesn't prevent anything until it is converted into methyl folate. 928 00:48:23,320 --> 00:48:25,960 Speaker 1: So what if your body can't make this conversion. Well, 929 00:48:26,000 --> 00:48:28,080 Speaker 1: it might not sound like a big deal until you 930 00:48:28,120 --> 00:48:30,240 Speaker 1: realize that number one, it's the most common gene mutation 931 00:48:30,280 --> 00:48:32,320 Speaker 1: in the world, and number two, full of acid is 932 00:48:32,360 --> 00:48:35,520 Speaker 1: the most prevalent nutrient in the human diet the United States. 933 00:48:36,040 --> 00:48:39,640 Speaker 1: So if you have an issue converting the most prevalent 934 00:48:39,719 --> 00:48:42,200 Speaker 1: nutrient in the human diet into the form that your 935 00:48:42,200 --> 00:48:46,640 Speaker 1: body can use. You have a significant efficiency. And the 936 00:48:46,719 --> 00:48:51,520 Speaker 1: expression of this deficiency is increase in the number of miscarriages, 937 00:48:52,880 --> 00:48:56,160 Speaker 1: in fertility, a difficulty in getting pregnant. I'm just talking 938 00:48:56,160 --> 00:49:00,320 Speaker 1: about in the female cycle postpartum depression, which can actually 939 00:49:00,400 --> 00:49:03,480 Speaker 1: begin before the pregnancy ends. We call it postpartum depression, 940 00:49:03,480 --> 00:49:07,080 Speaker 1: but very often it begins during the pregnancy. And women 941 00:49:07,080 --> 00:49:10,399 Speaker 1: that have this MTHFR gene mutation, the first thing they're 942 00:49:10,400 --> 00:49:12,799 Speaker 1: told when they get pregnant by their obgyn is to 943 00:49:12,840 --> 00:49:15,359 Speaker 1: take high doses of folic acid. Well, if you put 944 00:49:15,400 --> 00:49:17,880 Speaker 1: fourteen hundred or eighteen hundred percent of the daily allowance 945 00:49:17,880 --> 00:49:20,360 Speaker 1: of full of acid into somebody, a woman like that 946 00:49:21,200 --> 00:49:25,520 Speaker 1: who has that gene mutation and cannot process it, that 947 00:49:25,600 --> 00:49:29,160 Speaker 1: is a disaster. And she develops postpart of depression before 948 00:49:29,160 --> 00:49:33,840 Speaker 1: the pregnancy ends. And eventually, when the pregnancy ends, she 949 00:49:33,880 --> 00:49:37,960 Speaker 1: stops taking the prenatal vitamin and the symptoms go away, 950 00:49:38,000 --> 00:49:39,920 Speaker 1: and so she blames it on the pregnancy, not on 951 00:49:39,960 --> 00:49:44,000 Speaker 1: the vitamin. And this is another pandemic that we see 952 00:49:44,080 --> 00:49:47,360 Speaker 1: is that pregnant women, all of them, could use methyl 953 00:49:47,360 --> 00:49:52,440 Speaker 1: folate less than sixty percent of them can use folic acid. 954 00:49:52,840 --> 00:49:56,719 Speaker 1: So why don't we just give women methyl fold eate. 955 00:49:56,800 --> 00:49:58,600 Speaker 1: Why don't we actually just give them the form that 956 00:49:58,600 --> 00:50:01,640 Speaker 1: would that they're that their body can use. By the way, 957 00:50:01,640 --> 00:50:04,600 Speaker 1: fullic acid also is a man made chemical. You can't 958 00:50:04,600 --> 00:50:06,840 Speaker 1: find full of acid anywhere on the surface theorem, it 959 00:50:06,880 --> 00:50:10,120 Speaker 1: does not occur naturally in nature. So someone convinced me, 960 00:50:10,160 --> 00:50:12,880 Speaker 1: how you know a synthetic chemical that we make in 961 00:50:12,920 --> 00:50:15,479 Speaker 1: a laboratory is somehow necessary for optimal health. 962 00:50:16,400 --> 00:50:18,400 Speaker 2: Yeah, it's bizarre as it can't be. 963 00:50:18,719 --> 00:50:20,520 Speaker 1: Yeah, you know, it wasn't even around I don't think 964 00:50:20,600 --> 00:50:22,920 Speaker 1: until nineteen ninety three or so. What do we do 965 00:50:23,000 --> 00:50:27,879 Speaker 1: before that? Just suffer? So I'm a huge believer that, 966 00:50:29,600 --> 00:50:33,520 Speaker 1: you know, getting back to the basics is really the 967 00:50:33,600 --> 00:50:35,160 Speaker 1: gateway to optimal health. 968 00:50:35,280 --> 00:50:37,000 Speaker 2: How do you know if you have that mutation? And 969 00:50:37,040 --> 00:50:37,440 Speaker 2: what do you do? 970 00:50:37,560 --> 00:50:40,880 Speaker 1: Right? You do a genetic cheek swab, So there's a 971 00:50:40,920 --> 00:50:43,600 Speaker 1: cheek swab test. You swab your cheek usually, put it 972 00:50:43,600 --> 00:50:45,279 Speaker 1: in a test tube, you send it to the lab 973 00:50:45,320 --> 00:50:48,200 Speaker 1: and they'll send you back the results. Even twenty three 974 00:50:48,239 --> 00:50:51,040 Speaker 1: in me, I do genetic tests at ten X Health. 975 00:50:51,480 --> 00:50:52,960 Speaker 1: You do not have to do the test through me, 976 00:50:53,080 --> 00:50:55,680 Speaker 1: But you know, we do twenty thousand of these a month. 977 00:50:56,760 --> 00:50:59,160 Speaker 1: I'm sure twenty three meters something similar to that. But 978 00:50:59,200 --> 00:51:01,400 Speaker 1: you also get a lot depending on the type of 979 00:51:01,440 --> 00:51:04,480 Speaker 1: genetic tests you do, you'll get a lot of the 980 00:51:04,640 --> 00:51:07,919 Speaker 1: non actionable data, right. I mean, like if I pulled 981 00:51:07,960 --> 00:51:09,680 Speaker 1: your entire genetic code, it could see that you have 982 00:51:10,200 --> 00:51:12,200 Speaker 1: dark olive skin, you have green eyes, you have brown hair, 983 00:51:12,280 --> 00:51:14,440 Speaker 1: you have detached to ear lobes. But there's nothing you 984 00:51:14,440 --> 00:51:18,520 Speaker 1: can do with that genetic information. Want you want to 985 00:51:18,560 --> 00:51:24,360 Speaker 1: look at the genes responsible for converting raw material vitamins, minerals, 986 00:51:24,360 --> 00:51:28,480 Speaker 1: amino acids into the usable form. I always use the 987 00:51:28,520 --> 00:51:31,960 Speaker 1: analogy that we pull crude oil out of the ground, right, 988 00:51:32,000 --> 00:51:34,560 Speaker 1: But you cannot put crude oil into your gas tank. 989 00:51:35,239 --> 00:51:38,239 Speaker 1: The car doesn't understand that fuel source. Crude oil has 990 00:51:38,239 --> 00:51:41,040 Speaker 1: to be refined into gasoline now the car can run. 991 00:51:41,560 --> 00:51:45,360 Speaker 1: Human beings are no different. We put vitamins, minerals, amino acids, nutrients, 992 00:51:45,760 --> 00:51:49,319 Speaker 1: all proteins into the body, which are useless in that 993 00:51:49,360 --> 00:51:53,360 Speaker 1: state until they are converted into the gasoline into the 994 00:51:53,400 --> 00:51:56,000 Speaker 1: form that the body can use. And this is governed 995 00:51:56,000 --> 00:51:58,680 Speaker 1: by several of our genes and they're very easy to 996 00:51:58,719 --> 00:52:01,400 Speaker 1: look at and you only that test once in your lifetime. 997 00:52:01,520 --> 00:52:03,560 Speaker 2: That's fantastic. Thank you for that. I think that's going 998 00:52:03,600 --> 00:52:05,120 Speaker 2: to help a lot of people listening and watching, because 999 00:52:05,120 --> 00:52:08,120 Speaker 2: I feel like question when we're thinking about people are 1000 00:52:08,200 --> 00:52:10,800 Speaker 2: planning for kids or have had kids and they're struggling, 1001 00:52:10,800 --> 00:52:13,399 Speaker 2: and again, I think we all do this. And that's 1002 00:52:13,400 --> 00:52:16,360 Speaker 2: why I'm so glad we're talking about this, because I 1003 00:52:16,360 --> 00:52:19,080 Speaker 2: think the first thing we blame is our mind. That's 1004 00:52:19,120 --> 00:52:20,840 Speaker 2: the first thing we all do is we judge ourselves 1005 00:52:20,880 --> 00:52:22,720 Speaker 2: and we go I'm not strong enough, I'm too weak, 1006 00:52:22,840 --> 00:52:25,799 Speaker 2: I'm mentally not there. I'm not figuring it out, there's 1007 00:52:25,840 --> 00:52:28,319 Speaker 2: something wrong with me, right, But we're not looking at 1008 00:52:28,360 --> 00:52:30,960 Speaker 2: the fact that let me actually take a look at 1009 00:52:31,000 --> 00:52:33,479 Speaker 2: what is wrong and which part of it and where 1010 00:52:33,520 --> 00:52:34,279 Speaker 2: has it gone wrong? 1011 00:52:34,400 --> 00:52:36,239 Speaker 1: Yeah, you know, you know what I think we try 1012 00:52:36,239 --> 00:52:40,400 Speaker 1: to do, I just naturally instinctively, is when we don't 1013 00:52:40,520 --> 00:52:43,400 Speaker 1: feel good or something seems to be going wrong in 1014 00:52:43,440 --> 00:52:48,040 Speaker 1: our bodies. We're anxious, we're worried, we're depressed, or there's 1015 00:52:48,040 --> 00:52:51,040 Speaker 1: something more physical. We're bloated, we're constipated, we're irritable, we've 1016 00:52:51,040 --> 00:52:54,279 Speaker 1: got cramps, we're fatigued, we begin to look at our 1017 00:52:54,320 --> 00:52:56,760 Speaker 1: outside environment. Right, we look at what's called a cluster 1018 00:52:56,800 --> 00:52:59,400 Speaker 1: of symptoms, and a cluster of symptoms is very often nonsense. 1019 00:52:59,440 --> 00:53:03,120 Speaker 1: We diagnosed Abraham Lincoln with a depression one hundred and 1020 00:53:03,160 --> 00:53:05,200 Speaker 1: fifty years ago with a cluster of symptoms, so we 1021 00:53:05,239 --> 00:53:07,680 Speaker 1: did the same kind of diagnostic. We use the similar 1022 00:53:07,680 --> 00:53:10,920 Speaker 1: diagnostic tools today. What if you consider that it's not 1023 00:53:11,320 --> 00:53:15,439 Speaker 1: something happening to you, it's something happening within you, Right, 1024 00:53:15,880 --> 00:53:18,280 Speaker 1: Like that leaf that was rotting in the palm tree, 1025 00:53:18,680 --> 00:53:22,600 Speaker 1: nothing happened to it. Something happened within the soil that 1026 00:53:22,840 --> 00:53:25,680 Speaker 1: then caused something to happen within the tree, which translated 1027 00:53:25,719 --> 00:53:28,280 Speaker 1: to that leaf. And I always use that example because 1028 00:53:28,320 --> 00:53:30,680 Speaker 1: it starts people thinking that, you know what, maybe I'm 1029 00:53:30,719 --> 00:53:33,640 Speaker 1: not as sick or pathological or diseased or mentally ill 1030 00:53:33,719 --> 00:53:38,080 Speaker 1: as I think. You know, people very often that suffer 1031 00:53:38,120 --> 00:53:40,440 Speaker 1: from gut issues. I mean we see this thousands and 1032 00:53:40,480 --> 00:53:42,880 Speaker 1: thousands of times. So they're like they get gas or 1033 00:53:42,880 --> 00:53:46,680 Speaker 1: bloating or diarrhe or constipation or irritability or cramping, and 1034 00:53:46,800 --> 00:53:49,200 Speaker 1: they are always trying to relate it to what they 1035 00:53:49,280 --> 00:53:53,640 Speaker 1: last ate because that makes sense, right, I ate something 1036 00:53:53,719 --> 00:53:55,680 Speaker 1: and now I blew up like a tick. It must 1037 00:53:55,680 --> 00:53:58,160 Speaker 1: have been what I ate. But you might not be 1038 00:53:58,320 --> 00:54:00,759 Speaker 1: considering that. If you're deficient and at the full eight 1039 00:54:00,800 --> 00:54:05,520 Speaker 1: for example, very simple nutrient, that the parastaltic activity of 1040 00:54:05,560 --> 00:54:08,359 Speaker 1: the gut is off, so the pace of the gut 1041 00:54:08,600 --> 00:54:11,319 Speaker 1: is off. You can think of the human intestinal tract 1042 00:54:11,360 --> 00:54:14,080 Speaker 1: as a thirty foot long conveyor belt. You put contents 1043 00:54:14,080 --> 00:54:16,000 Speaker 1: on it at one end, and as it traverses to 1044 00:54:16,000 --> 00:54:18,080 Speaker 1: the other end, from the stomach to the rectum, there's 1045 00:54:18,080 --> 00:54:20,600 Speaker 1: a very specific sequence of events that needs to occur. 1046 00:54:20,680 --> 00:54:24,120 Speaker 1: There's acidic bacteria and the proximal end of the small intestine. 1047 00:54:24,120 --> 00:54:27,080 Speaker 1: There's there's alkaline bacteria in the distal end near the rectum. 1048 00:54:27,600 --> 00:54:32,040 Speaker 1: What if you just change the pace of that conveyor belt. 1049 00:54:32,120 --> 00:54:34,279 Speaker 1: What if you went into any factory in America that 1050 00:54:34,360 --> 00:54:36,400 Speaker 1: works on a conveyor belt system and doubled the speed 1051 00:54:36,400 --> 00:54:38,960 Speaker 1: of the conveyor belt, the whole line would break down. 1052 00:54:39,200 --> 00:54:40,960 Speaker 1: What if you went into any factory in America and 1053 00:54:41,000 --> 00:54:43,600 Speaker 1: reverse the speed of conveyor belt, the whole line would 1054 00:54:43,600 --> 00:54:47,600 Speaker 1: break down. But there's nothing wrong with a conveyor belt, 1055 00:54:48,280 --> 00:54:51,359 Speaker 1: and so you know it sends people down the wrong 1056 00:54:51,480 --> 00:54:53,200 Speaker 1: road because they're like, well, should I keep my gut 1057 00:54:53,200 --> 00:54:55,600 Speaker 1: bacteria check, Should I keep my gup biome looked at? 1058 00:54:55,640 --> 00:54:59,960 Speaker 1: Should I start taking probiotics, Should I maybe take antibiot 1059 00:55:00,320 --> 00:55:02,960 Speaker 1: and maybe may I have cebolt? Should I change up 1060 00:55:03,000 --> 00:55:07,720 Speaker 1: my diet? And and nothing really seems to work because 1061 00:55:08,280 --> 00:55:11,600 Speaker 1: if they think it's something happening to them rather than 1062 00:55:11,640 --> 00:55:16,000 Speaker 1: something happening within them. And this happens very often with anxiety. 1063 00:55:16,040 --> 00:55:19,879 Speaker 1: With people that suffer from anxiety generally have the same 1064 00:55:19,920 --> 00:55:25,319 Speaker 1: three characteristics. Generally, if you'll ask them have you had 1065 00:55:25,320 --> 00:55:27,520 Speaker 1: it on and off throughout your entire lifetime? They'll say yes, 1066 00:55:28,800 --> 00:55:31,719 Speaker 1: can you point to the specific the trigger that causes it? No, 1067 00:55:32,760 --> 00:55:35,000 Speaker 1: have any anxiety medications helped, you know? They just make 1068 00:55:35,040 --> 00:55:37,840 Speaker 1: me feel like a zombie. Those are very commonly the 1069 00:55:37,920 --> 00:55:41,880 Speaker 1: same sequence of answers. So that is not something happening 1070 00:55:41,920 --> 00:55:45,600 Speaker 1: to you, that's something happening within you. If I ask 1071 00:55:45,680 --> 00:55:47,239 Speaker 1: you if you have anxiety, and you go, yes, I'm 1072 00:55:47,280 --> 00:55:48,719 Speaker 1: afraid of heights, and every time I walk to the 1073 00:55:48,800 --> 00:55:51,200 Speaker 1: edge of a thirty or four balcony, I freak out. Yes, 1074 00:55:51,280 --> 00:55:53,680 Speaker 1: I'm claustrophobic when I step on a crowded elevator, I 1075 00:55:53,760 --> 00:55:58,480 Speaker 1: really get anxious. But if you say, yes, okay, well 1076 00:55:58,520 --> 00:56:00,880 Speaker 1: what causes it? I don't know what makes it come 1077 00:56:00,960 --> 00:56:04,960 Speaker 1: and go pretty much anything. You know, have you had 1078 00:56:04,960 --> 00:56:07,239 Speaker 1: it on and off throughout your lifetime? Yes, then this 1079 00:56:07,320 --> 00:56:11,479 Speaker 1: is a sign that this is a genetic mutation that's 1080 00:56:11,680 --> 00:56:15,360 Speaker 1: led to a deficiency that's causing the expression of that condition. 1081 00:56:15,760 --> 00:56:19,880 Speaker 1: We very rarely pass disease from generation to generation. We 1082 00:56:19,960 --> 00:56:25,839 Speaker 1: do pass deficiency. We pass these genes that are either 1083 00:56:25,880 --> 00:56:28,960 Speaker 1: broken or operating, and when they're broken, for lack of 1084 00:56:29,000 --> 00:56:32,160 Speaker 1: better words, these gene snips, the body has an inability 1085 00:56:32,200 --> 00:56:34,560 Speaker 1: to convert a certain raw material into the usful form, 1086 00:56:34,960 --> 00:56:40,319 Speaker 1: which means that this deficiency is passed from generation to generation. Right, 1087 00:56:40,360 --> 00:56:46,680 Speaker 1: so on, a deficiency in the ability to downregulate homocysteine 1088 00:56:47,000 --> 00:56:49,640 Speaker 1: means that you get the expression of hypertension. So you 1089 00:56:49,640 --> 00:56:52,719 Speaker 1: see that hypertension runs in these families even though there's 1090 00:56:52,719 --> 00:56:56,440 Speaker 1: not a hypertension gene. You see that the inability to 1091 00:56:56,560 --> 00:57:00,200 Speaker 1: convert thyroid hormone T four into thyroid hormone T three, 1092 00:57:00,280 --> 00:57:03,279 Speaker 1: which is a diadonization process in the liver and the 1093 00:57:03,280 --> 00:57:07,120 Speaker 1: gut and the periphery that this process is impaired. So 1094 00:57:08,560 --> 00:57:13,400 Speaker 1: people have hypeo thyroid, but the hypothyroid runs in family, 1095 00:57:14,040 --> 00:57:18,120 Speaker 1: but there's no specific hypothyroid gene, and you could go 1096 00:57:18,160 --> 00:57:21,920 Speaker 1: through dozens and dozens dozens of cases like this. We 1097 00:57:22,080 --> 00:57:26,360 Speaker 1: accept that things are inherited or familial because they run 1098 00:57:26,400 --> 00:57:32,680 Speaker 1: in our family, not because we consider that the deficiency 1099 00:57:32,840 --> 00:57:35,760 Speaker 1: may run in our family and the deficiency can be fixed. 1100 00:57:36,840 --> 00:57:38,240 Speaker 2: Two more things I want to ask you, guys. I 1101 00:57:38,320 --> 00:57:42,120 Speaker 2: want to get your thoughts on this tap water, What 1102 00:57:42,280 --> 00:57:45,240 Speaker 2: is wrong with tap water? And what is wrong with 1103 00:57:45,320 --> 00:57:46,320 Speaker 2: plastic bottles. 1104 00:57:46,480 --> 00:57:50,200 Speaker 1: We'll start with tapwater. I mean, there are two or 1105 00:57:50,240 --> 00:57:52,000 Speaker 1: three things that I think that everybody should get out 1106 00:57:52,000 --> 00:57:53,960 Speaker 1: of their life, permanently, out of their life. Tapwater is 1107 00:57:54,000 --> 00:57:56,600 Speaker 1: definitely one of them. And the reason for this is 1108 00:57:56,640 --> 00:58:00,000 Speaker 1: that it contains, you know, high mounts of fluoride, contains 1109 00:58:00,120 --> 00:58:05,400 Speaker 1: high mounts chlorine. It also contains microplastics very often. Now 1110 00:58:05,440 --> 00:58:09,440 Speaker 1: it contains the high levels of glyphosates and even pharmaceuticals 1111 00:58:10,080 --> 00:58:12,600 Speaker 1: which are very hard to filter out of the water. 1112 00:58:13,440 --> 00:58:15,680 Speaker 1: And you know, we have to decide if we want 1113 00:58:15,720 --> 00:58:18,360 Speaker 1: to filter things before they get to the temple or 1114 00:58:18,440 --> 00:58:23,480 Speaker 1: the temples. Let the temple be the filter. And what's 1115 00:58:23,520 --> 00:58:26,240 Speaker 1: astounding to me is if you ask just about anyone 1116 00:58:26,640 --> 00:58:28,520 Speaker 1: what's the most important thing to you, your business or 1117 00:58:28,560 --> 00:58:31,440 Speaker 1: your health, they will always say their health. What's more 1118 00:58:31,480 --> 00:58:34,360 Speaker 1: important to you money or your health? It's always their health. 1119 00:58:34,840 --> 00:58:36,640 Speaker 1: But when you just take one step further, and I 1120 00:58:36,680 --> 00:58:38,400 Speaker 1: do this with the entrepreneurs all the time. I was 1121 00:58:38,440 --> 00:58:43,200 Speaker 1: actually at a an event this week with Damon John 1122 00:58:43,440 --> 00:58:45,880 Speaker 1: and it was high level Tuesday night. 1123 00:58:45,920 --> 00:58:49,680 Speaker 2: But yeah, the traveling Yeah, okay. 1124 00:58:49,840 --> 00:58:51,360 Speaker 1: And this isn't the pick on Daman. He's a very 1125 00:58:51,360 --> 00:58:53,000 Speaker 1: good friend of mine. I love Daiman. He's done a 1126 00:58:53,000 --> 00:58:56,040 Speaker 1: lot for me, and he's and he's just an incredible 1127 00:58:56,160 --> 00:58:59,440 Speaker 1: entrepreneur and he's been a very very good friend to me. 1128 00:58:59,520 --> 00:59:04,000 Speaker 1: But we were in a room with you know, entrepreneurs, 1129 00:59:04,040 --> 00:59:07,240 Speaker 1: and if you went around that room and we asked 1130 00:59:07,360 --> 00:59:09,480 Speaker 1: several of them what's more important to you your business 1131 00:59:09,520 --> 00:59:12,920 Speaker 1: or your health? And they'd say my health. But then 1132 00:59:12,960 --> 00:59:18,000 Speaker 1: you bring them up and you say, well, you know, 1133 00:59:18,000 --> 00:59:20,640 Speaker 1: how much money did your business make last month? Six 1134 00:59:20,720 --> 00:59:23,640 Speaker 1: hundred and twenty eight thousand dollars, What was your net 1135 00:59:23,640 --> 00:59:26,640 Speaker 1: income one hundred and forty four hundred. How many employees 1136 00:59:26,640 --> 00:59:30,680 Speaker 1: do you have seventeen what's your hemoglobe in a one 1137 00:59:30,760 --> 00:59:36,720 Speaker 1: C like right? What is your we're your testosterone levels? 1138 00:59:37,720 --> 00:59:44,360 Speaker 1: Like right? So true, we are intention is to put 1139 00:59:44,400 --> 00:59:48,320 Speaker 1: our health first, but our activity is very different, right. 1140 00:59:48,760 --> 00:59:51,720 Speaker 1: And and I could have asked them fifteen more questions 1141 00:59:51,760 --> 00:59:53,920 Speaker 1: about their income statement, their balance et, their P and L, 1142 00:59:54,000 --> 00:59:56,760 Speaker 1: the best marketing strategy where they're getting the ROI, what 1143 00:59:56,800 --> 00:59:58,920 Speaker 1: they're you know, what their best return is on Facebook 1144 00:59:58,920 --> 01:00:00,640 Speaker 1: ads or any number of other things, and they would 1145 01:00:00,640 --> 01:00:03,320 Speaker 1: have hit every one of those metrics. Don't know if 1146 01:00:03,360 --> 01:00:05,600 Speaker 1: they have a clinical deficiency invitament D three or not. 1147 01:00:06,200 --> 01:00:08,960 Speaker 1: They don't even have the most basic of information. And 1148 01:00:09,040 --> 01:00:12,440 Speaker 1: so this goes back to, you know, we need to 1149 01:00:12,480 --> 01:00:15,959 Speaker 1: put an imaginary fence around ourselves and start filtering things 1150 01:00:15,960 --> 01:00:18,320 Speaker 1: before they make it to the temple. Just consciously being 1151 01:00:18,400 --> 01:00:21,440 Speaker 1: intentional about what we're letting into the temple. It's very 1152 01:00:21,480 --> 01:00:24,800 Speaker 1: easy for me to look at food and say, are 1153 01:00:24,840 --> 01:00:27,480 Speaker 1: you going to serve me or are you going to 1154 01:00:27,480 --> 01:00:29,920 Speaker 1: steal from me? If you're going to steal from me, 1155 01:00:30,520 --> 01:00:32,720 Speaker 1: I'm not going to let you into the temple. You 1156 01:00:32,760 --> 01:00:35,840 Speaker 1: wouldn't knowingly let a thief into your house, right, And 1157 01:00:35,920 --> 01:00:38,840 Speaker 1: so tap water is one of these things. You know, 1158 01:00:38,960 --> 01:00:43,600 Speaker 1: they're fluoride, which we know is neurotoxic. And if you 1159 01:00:43,600 --> 01:00:46,680 Speaker 1: don't believe floride is neurotoxic, just find a you know, 1160 01:00:46,800 --> 01:00:50,560 Speaker 1: just find a you know, a fluoride toothpaste label in 1161 01:00:50,600 --> 01:00:53,520 Speaker 1: your house of years and crest or Coldgate or any 1162 01:00:53,520 --> 01:00:55,520 Speaker 1: turthbased with fluoride and flip it over and look at 1163 01:00:55,560 --> 01:00:57,720 Speaker 1: the back because there's a required FDA warning on there, 1164 01:00:57,760 --> 01:01:00,200 Speaker 1: and it says if more than an amount used for 1165 01:01:00,240 --> 01:01:04,040 Speaker 1: brushing is swallowed, contact poison control immediately. It also says 1166 01:01:04,120 --> 01:01:08,400 Speaker 1: keep out a reach of children under six years of age, 1167 01:01:08,480 --> 01:01:10,240 Speaker 1: and it also says do not use more than a 1168 01:01:10,320 --> 01:01:13,080 Speaker 1: pea sized amount. So if you swallow more than a 1169 01:01:13,120 --> 01:01:16,120 Speaker 1: pea sized amount of fluoride toothpaste, you're supposed to contact 1170 01:01:16,160 --> 01:01:19,320 Speaker 1: poison control immediately. You will get four times that amount 1171 01:01:19,320 --> 01:01:22,280 Speaker 1: of fluoride in six eight ounce glasses of water. So 1172 01:01:22,360 --> 01:01:24,320 Speaker 1: why wouldn't I call poison control at the end of 1173 01:01:24,360 --> 01:01:26,880 Speaker 1: every day when I'm drinking six eight ounce glasses of water? 1174 01:01:27,480 --> 01:01:30,680 Speaker 1: According to the previous disclosure, I should call poison control 1175 01:01:30,680 --> 01:01:32,440 Speaker 1: at the end of every day and let them know 1176 01:01:32,480 --> 01:01:37,120 Speaker 1: I've been micro poison There was an interesting study that 1177 01:01:37,160 --> 01:01:40,680 Speaker 1: was published by the National Toxicology Program in March of 1178 01:01:40,720 --> 01:01:43,440 Speaker 1: twenty twenty three, and they were able to pull this 1179 01:01:43,560 --> 01:01:47,880 Speaker 1: data from the CDC through a Freedom of Information Act lawsuit. 1180 01:01:48,640 --> 01:01:51,000 Speaker 1: And what it found was in fifty two of the 1181 01:01:51,040 --> 01:01:56,240 Speaker 1: fifty four studies that they reviewed, and in nearly every 1182 01:01:56,400 --> 01:02:00,720 Speaker 1: municipality in America that had fluoridated water, they found an 1183 01:02:00,760 --> 01:02:05,040 Speaker 1: inverse relationship between IQ and fluoride. So, in other words, 1184 01:02:05,080 --> 01:02:08,400 Speaker 1: as fluoride went up, IQ went down. So the more 1185 01:02:08,440 --> 01:02:11,240 Speaker 1: fluoride in the water, the lower the pre pubescent IQ. 1186 01:02:12,120 --> 01:02:14,480 Speaker 1: And if that's not enough data, ask, we have to 1187 01:02:14,480 --> 01:02:17,640 Speaker 1: ask ourselves where is fluoride come from? Well, fluoride is 1188 01:02:17,640 --> 01:02:22,800 Speaker 1: fluorosilicic acid. Fluorosilicic acid is a byproduct of phosphate fertilizer production. 1189 01:02:22,840 --> 01:02:25,280 Speaker 1: It's also a byproduct of aluminum production. But the majority 1190 01:02:25,320 --> 01:02:27,480 Speaker 1: of the fluoride that we use the municipal water supplies 1191 01:02:27,560 --> 01:02:31,920 Speaker 1: comes from phosphate fertilizer production. It is the waste from 1192 01:02:31,960 --> 01:02:37,320 Speaker 1: phosphate fertilizer production because if we leave it in phosphate fertilizer, 1193 01:02:37,360 --> 01:02:40,360 Speaker 1: it burns the root of plant. And actually so we 1194 01:02:40,400 --> 01:02:42,120 Speaker 1: can't keep it in because it kills the plant. So 1195 01:02:42,160 --> 01:02:44,160 Speaker 1: we take it out and we have a big stockpile 1196 01:02:44,200 --> 01:02:45,840 Speaker 1: of fluorosilyisic acid. So what are we going to do 1197 01:02:45,880 --> 01:02:47,600 Speaker 1: with it? Well, let's dump it into the municipal water 1198 01:02:47,600 --> 01:02:51,560 Speaker 1: supply because there is marginal and I would call it 1199 01:02:51,600 --> 01:02:57,200 Speaker 1: weak evidence that we can remineralize in the enamel with 1200 01:02:57,480 --> 01:02:59,640 Speaker 1: fluoride and stop twot k, which you can also do 1201 01:02:59,680 --> 01:03:01,800 Speaker 1: with high ruxy appetite and other things that are safe. 1202 01:03:02,320 --> 01:03:04,960 Speaker 1: And so we dumped this into the water supply. But 1203 01:03:05,080 --> 01:03:10,440 Speaker 1: now the evidence is clear that this neurotoxin and small 1204 01:03:10,520 --> 01:03:14,280 Speaker 1: doses over time. It's not the dosage determining the poison. 1205 01:03:14,360 --> 01:03:19,360 Speaker 1: It is the cumulative dosage determining the poison. And one 1206 01:03:19,360 --> 01:03:21,080 Speaker 1: of the challenges that I find with a lot of 1207 01:03:21,080 --> 01:03:24,200 Speaker 1: government on regulatory guidelines is that there are safe levels 1208 01:03:24,200 --> 01:03:26,920 Speaker 1: of mercury, right, There as safe levels of fluoride. There 1209 01:03:26,960 --> 01:03:30,800 Speaker 1: as safe levels of cyanide, but our bodies clear these 1210 01:03:30,840 --> 01:03:34,080 Speaker 1: at different levels. Nobody got mercury poisoning from one piece 1211 01:03:34,080 --> 01:03:37,080 Speaker 1: of tuna fish, right. They got mercury poisoning because they ate, 1212 01:03:37,640 --> 01:03:40,120 Speaker 1: you know, small doses of mercury over a prolong period 1213 01:03:40,160 --> 01:03:42,000 Speaker 1: of time. So fluoride is one of those things. Tap 1214 01:03:42,000 --> 01:03:44,280 Speaker 1: water is definitely one of those things to permanently get 1215 01:03:44,280 --> 01:03:47,400 Speaker 1: out of your life. I use something called an echo 1216 01:03:47,520 --> 01:03:52,040 Speaker 1: water filter and it's a four stage roro filter and 1217 01:03:52,080 --> 01:03:57,080 Speaker 1: then it actually adds hydrogen to the water on the 1218 01:03:57,120 --> 01:04:01,120 Speaker 1: way out. And because the water is demineralized, just remineralize 1219 01:04:01,160 --> 01:04:04,160 Speaker 1: it with a with a salt called Baja gold salt. 1220 01:04:04,200 --> 01:04:06,760 Speaker 1: But you could also use Celtic sea salt. I like 1221 01:04:06,800 --> 01:04:09,080 Speaker 1: this Spaja gold because it has all ninety one trace 1222 01:04:09,120 --> 01:04:11,560 Speaker 1: minerals and they test it for microplastics and whatnot. But 1223 01:04:11,720 --> 01:04:13,840 Speaker 1: just about every grocery store chain in the world has 1224 01:04:13,920 --> 01:04:16,720 Speaker 1: Celtic salt. So you could four stage arrow filter your water, 1225 01:04:17,000 --> 01:04:20,000 Speaker 1: add Celtic or Baja Gold sea salt to your water 1226 01:04:20,080 --> 01:04:24,439 Speaker 1: to remineralize it, and you're covering the basis of of 1227 01:04:24,880 --> 01:04:27,880 Speaker 1: not missing one of the ninety one nutrients, sixteen of 1228 01:04:27,920 --> 01:04:29,680 Speaker 1: which are essential for human function. 1229 01:04:30,320 --> 01:04:32,800 Speaker 2: Amazing. So what a great ons I'm hoping No one 1230 01:04:33,200 --> 01:04:34,640 Speaker 2: please stop drinking tap wars. 1231 01:04:34,680 --> 01:04:38,360 Speaker 1: Yeah, yeah, please, it's it is the worst the you know, 1232 01:04:38,920 --> 01:04:40,480 Speaker 1: the daily call to poison control. 1233 01:04:40,640 --> 01:04:42,680 Speaker 2: Poison control, I mean that is like, you know, you 1234 01:04:42,760 --> 01:04:45,600 Speaker 2: just think about just the things that we're so conditioned 1235 01:04:45,600 --> 01:04:47,560 Speaker 2: to do on a daily basis, and what this doesn't 1236 01:04:47,560 --> 01:04:49,800 Speaker 2: make it? I don't feel any different. And then it 1237 01:04:49,840 --> 01:04:51,160 Speaker 2: just adds up and accumulates. 1238 01:04:51,200 --> 01:04:53,120 Speaker 1: Why would I want to put something into my mouth 1239 01:04:53,160 --> 01:04:55,120 Speaker 1: consciously that if I swallow it, I have to call 1240 01:04:55,160 --> 01:04:58,120 Speaker 1: it poison control set? And then you think huge, Well, 1241 01:04:58,120 --> 01:04:59,800 Speaker 1: how much is being absorbed in my gums? How much? 1242 01:05:00,000 --> 01:05:01,400 Speaker 1: You know, the thinnest skin in the body, and your 1243 01:05:01,400 --> 01:05:02,840 Speaker 1: body is in the floor of your mouth, and it 1244 01:05:02,920 --> 01:05:05,200 Speaker 1: is fraught with blood vessels. One of the best delivery 1245 01:05:05,360 --> 01:05:10,440 Speaker 1: mechanisms besides the oral The first past metabolism is sublingual. 1246 01:05:11,800 --> 01:05:14,160 Speaker 1: So so now I'm drinking tap water all day and 1247 01:05:14,240 --> 01:05:16,320 Speaker 1: then I'm sublingually and then you know, the second thing 1248 01:05:16,360 --> 01:05:18,040 Speaker 1: that's in there is chlorine. And I did a really 1249 01:05:18,080 --> 01:05:21,920 Speaker 1: interesting video on my Instagram the other day and people 1250 01:05:23,120 --> 01:05:27,000 Speaker 1: it really made an impact ripple effect. I went to 1251 01:05:27,040 --> 01:05:30,120 Speaker 1: the faucet and I filled up two glasses with tapwater, 1252 01:05:30,240 --> 01:05:32,960 Speaker 1: clear glasses tapwater, and just set them on my counter, 1253 01:05:33,000 --> 01:05:35,960 Speaker 1: and I had my one of my heads of production 1254 01:05:36,160 --> 01:05:38,840 Speaker 1: just take forefingers and hold them down in one of 1255 01:05:38,840 --> 01:05:41,520 Speaker 1: the glasses, and he held them there for about a minute, 1256 01:05:42,360 --> 01:05:43,840 Speaker 1: and he took his fingers out. And by the way, 1257 01:05:43,840 --> 01:05:45,400 Speaker 1: you can do this the kid. To do this, you 1258 01:05:45,400 --> 01:05:47,880 Speaker 1: can order on Amazon for six bucks. And then I 1259 01:05:47,920 --> 01:05:50,480 Speaker 1: took a chlorine testing kit and I put drops of 1260 01:05:50,560 --> 01:05:53,360 Speaker 1: chlorine in one glass, and I put drops or drops 1261 01:05:53,360 --> 01:05:56,880 Speaker 1: of the chlorine tester, and the other glass. One of 1262 01:05:56,920 --> 01:06:00,959 Speaker 1: them tested very high for chlorine. Them tested as having 1263 01:06:01,000 --> 01:06:03,320 Speaker 1: no chlorine. And so the question is where did the 1264 01:06:03,360 --> 01:06:07,160 Speaker 1: chlorine go? What was absorbed into his skin in just 1265 01:06:07,480 --> 01:06:11,400 Speaker 1: that sixty second period, And so that's how good that 1266 01:06:11,920 --> 01:06:14,840 Speaker 1: transdermal it will absorb that chlorine. You can do that. 1267 01:06:15,000 --> 01:06:16,680 Speaker 1: You can get a chlorine testing kit for about six 1268 01:06:16,720 --> 01:06:18,800 Speaker 1: bucks on Amazon. Just try it. Take your tapwoad, You'll 1269 01:06:18,800 --> 01:06:21,760 Speaker 1: never drink it again. Take two glasses of tapwater, fill 1270 01:06:21,760 --> 01:06:23,640 Speaker 1: it up, put it on your counter, put your fingers 1271 01:06:23,640 --> 01:06:25,920 Speaker 1: down in one glass of tapwater for sixty seconds, take 1272 01:06:25,960 --> 01:06:28,040 Speaker 1: them out and test both for chlorine. You'll find whatever 1273 01:06:28,080 --> 01:06:31,960 Speaker 1: glass you put your fingers in tests for no chlorine. 1274 01:06:32,160 --> 01:06:37,120 Speaker 1: Now imagine that's fluoride. Microplastics and other things. And you 1275 01:06:37,120 --> 01:06:40,600 Speaker 1: know when we talk about plastic bottles and microplastics, you 1276 01:06:40,600 --> 01:06:46,480 Speaker 1: know BPAs, the biz phenols. These these BPAs were until 1277 01:06:46,520 --> 01:06:49,040 Speaker 1: the sixties, they were used as a synthetic estrogen, so 1278 01:06:49,080 --> 01:06:53,080 Speaker 1: it was used in female hormone therapy, labor induction, and 1279 01:06:53,200 --> 01:06:57,520 Speaker 1: other forms of female hormone therapy. Now, how some scientists 1280 01:06:57,560 --> 01:06:59,600 Speaker 1: with way too much time on his hands realized that 1281 01:06:59,640 --> 01:07:03,000 Speaker 1: if you actually mix a petroleum based product with this 1282 01:07:03,320 --> 01:07:07,720 Speaker 1: synthetic estrogen, this BIZ feedal, this BPA, that you'll make 1283 01:07:07,720 --> 01:07:11,360 Speaker 1: the surface of the plastic more viscous and therefore, you know, 1284 01:07:11,480 --> 01:07:13,640 Speaker 1: like oils and waters and fluids and things won't stick 1285 01:07:13,640 --> 01:07:16,000 Speaker 1: to it. How they figured that out, I'm not sure 1286 01:07:16,200 --> 01:07:19,360 Speaker 1: much how that combination occurred, but make no mistakes, the 1287 01:07:19,400 --> 01:07:27,320 Speaker 1: BPAs are synthetic estrogens, and there's some indications that there 1288 01:07:27,360 --> 01:07:30,960 Speaker 1: is enough BPA inside of the lining of a non 1289 01:07:31,040 --> 01:07:35,800 Speaker 1: BPA free can of like tomato paste for example, which 1290 01:07:36,000 --> 01:07:38,880 Speaker 1: acidic foods leach it out, heat leaches it out to 1291 01:07:39,080 --> 01:07:42,640 Speaker 1: actually shift a woman's mentrual cycle so from ovulation to 1292 01:07:42,720 --> 01:07:46,360 Speaker 1: uti or forllicular to ovulation. So imagine that you could 1293 01:07:46,400 --> 01:07:50,680 Speaker 1: actually just be eating of food with enough BIZ phenols 1294 01:07:50,680 --> 01:07:53,840 Speaker 1: in it that not disclosed on the label, that you 1295 01:07:53,880 --> 01:07:55,520 Speaker 1: don't know are in there because it's leeching from the 1296 01:07:55,520 --> 01:07:59,400 Speaker 1: plastic to actually shift your menstrual cycle that is astounding 1297 01:07:59,480 --> 01:08:04,560 Speaker 1: to me, and so yeah, plastic plastic pottles is one. 1298 01:08:04,600 --> 01:08:06,920 Speaker 1: Then I would try to get out as much as 1299 01:08:06,960 --> 01:08:08,040 Speaker 1: you can too, Harry. 1300 01:08:08,160 --> 01:08:10,400 Speaker 2: I love We've covered so much great ground today that 1301 01:08:10,400 --> 01:08:12,760 Speaker 2: we've never covered on the show before. So I want 1302 01:08:12,760 --> 01:08:13,440 Speaker 2: to say a big. 1303 01:08:13,280 --> 01:08:14,640 Speaker 1: Thank you to you because you're welcome. 1304 01:08:14,680 --> 01:08:16,240 Speaker 2: Then there are so many things that I know that 1305 01:08:16,240 --> 01:08:18,479 Speaker 2: everyone's gonna be listening. There's so many actionable things I 1306 01:08:18,520 --> 01:08:21,599 Speaker 2: know that people can practice straight after this episode. We 1307 01:08:21,760 --> 01:08:24,120 Speaker 2: end every episode of On Purpose with a final five, 1308 01:08:24,600 --> 01:08:26,679 Speaker 2: and these questions have to be answered in one word 1309 01:08:27,040 --> 01:08:27,919 Speaker 2: to one sentence. 1310 01:08:28,040 --> 01:08:28,840 Speaker 1: Maximum. 1311 01:08:28,960 --> 01:08:32,160 Speaker 2: Wow, Gary Brackett, these are your final Why didn't you. 1312 01:08:32,080 --> 01:08:33,760 Speaker 1: Tell me about this so I could have had like 1313 01:08:33,800 --> 01:08:35,080 Speaker 1: a really cool answer. 1314 01:08:35,640 --> 01:08:38,400 Speaker 2: So question one, what is the best advice You've ever 1315 01:08:38,439 --> 01:08:39,280 Speaker 2: heard or received? 1316 01:08:41,720 --> 01:08:44,040 Speaker 1: The best advice I've ever heard of receive is you 1317 01:08:44,520 --> 01:08:49,280 Speaker 1: if you want to shrink your problems, grow your purpose? 1318 01:08:50,360 --> 01:08:55,360 Speaker 2: Beautiful, very aligned. Second question, next time you come to 1319 01:08:55,400 --> 01:08:56,800 Speaker 2: the show, we're going to talk about that because you 1320 01:08:56,920 --> 01:08:59,280 Speaker 2: have to come back. This is amazing. Yeah, Second question, 1321 01:08:59,360 --> 01:09:02,080 Speaker 2: what is the advice you've ever heard or received? 1322 01:09:04,080 --> 01:09:05,720 Speaker 1: You're perfect to where you are? 1323 01:09:08,000 --> 01:09:11,559 Speaker 2: Question number three, what is something that you used to 1324 01:09:11,680 --> 01:09:13,760 Speaker 2: value but you don't anymore. 1325 01:09:15,479 --> 01:09:15,759 Speaker 1: Wealth. 1326 01:09:17,200 --> 01:09:21,160 Speaker 2: Question number four, how would you define your current purpose 1327 01:09:21,200 --> 01:09:21,679 Speaker 2: in life? 1328 01:09:22,760 --> 01:09:24,440 Speaker 1: I would define it as God given. 1329 01:09:26,400 --> 01:09:29,040 Speaker 2: And fifth and final. If you could create one law 1330 01:09:29,400 --> 01:09:31,760 Speaker 2: that everyone in the world had to follow, what would 1331 01:09:31,760 --> 01:09:32,040 Speaker 2: it be? 1332 01:09:34,920 --> 01:09:36,200 Speaker 1: The pause before you speak? 1333 01:09:36,800 --> 01:09:40,799 Speaker 2: H that's great, Carry Brecker everyone. If you don't already 1334 01:09:40,920 --> 01:09:45,320 Speaker 2: follow The Ultimate Human podcast, subscribe online, follow on Instagram, 1335 01:09:45,400 --> 01:09:48,760 Speaker 2: make sure you share your greatest takeaways with us both 1336 01:09:48,840 --> 01:09:52,439 Speaker 2: tag us most whether you're using x or Instagram or TikTok, 1337 01:09:52,479 --> 01:09:53,920 Speaker 2: whatever it may be. I want to see what you're 1338 01:09:53,960 --> 01:09:57,360 Speaker 2: playing around with, what you're testing, what you're experimenting, and 1339 01:09:57,400 --> 01:09:59,559 Speaker 2: what you're applying to your life. If you've listened to 1340 01:09:59,560 --> 01:10:01,960 Speaker 2: this episode, I want you to choose one thing that 1341 01:10:02,000 --> 01:10:04,760 Speaker 2: resonates with you, just one habit, just one practice, and 1342 01:10:04,800 --> 01:10:06,920 Speaker 2: I want you, for the next seven days to commit 1343 01:10:06,960 --> 01:10:09,519 Speaker 2: to yourself, Promise to yourself that you're just going to 1344 01:10:09,600 --> 01:10:12,320 Speaker 2: do it just as it is for seven days, experiment 1345 01:10:12,360 --> 01:10:14,080 Speaker 2: with it, and then tell me and Gary what it 1346 01:10:14,160 --> 01:10:17,240 Speaker 2: was like. Gary, thank you so much. I enjoyed the purpose. 1347 01:10:17,439 --> 01:10:19,439 Speaker 2: You are fantastic at what you do, and I'm so 1348 01:10:19,520 --> 01:10:20,519 Speaker 2: grateful to spend time with you. 1349 01:10:20,760 --> 01:10:22,439 Speaker 1: Thank you, brother, appreciate you. 1350 01:10:23,000 --> 01:10:26,240 Speaker 2: If this year you're trying to live longer, live happier, 1351 01:10:26,280 --> 01:10:29,439 Speaker 2: live healthier, go and check out my conversation with the 1352 01:10:29,479 --> 01:10:33,880 Speaker 2: world's biggest longevity doctor, Peter Attia on how to slow 1353 01:10:33,920 --> 01:10:38,360 Speaker 2: down aging and why your emotional health is directly impacting 1354 01:10:38,600 --> 01:10:39,719 Speaker 2: your physical health. 1355 01:10:40,000 --> 01:10:44,840 Speaker 1: Acknowledge that there is surprisingly little known about the relationship 1356 01:10:44,840 --> 01:10:46,800 Speaker 1: between nutrition and health, and people are going to be 1357 01:10:46,800 --> 01:10:49,200 Speaker 1: shocked to hear that, because I think most people think 1358 01:10:49,200 --> 01:10:50,120 Speaker 1: the exact opposite.