WEBVTT - Gary Brecka: 5 Ways Sitting is Shortening Your Lifespan & 2 Changes to Transform Your Daily Routine 0:00:00.080 --> 0:00:02.440 In the industry that I was previously associated with, which 0:00:02.480 --> 0:00:04.840 was large life insurance. If the database that I had 0:00:04.880 --> 0:00:07.400 access to could see the life day, it would upend 0:00:07.440 --> 0:00:09.880 modern medicine in a way that would be catastrophic. We 0:00:09.920 --> 0:00:11.960 could tell the insurance company how long you had to 0:00:12.000 --> 0:00:12.920 live to the money. 0:00:13.000 --> 0:00:16.280 Keep human biologist, Scary frakat, he's going to. 0:00:16.239 --> 0:00:19.079 Make you superhuman. We know that sedentary lifestyle is the 0:00:19.120 --> 0:00:21.680 leading cause of all cause mortality. You're breaking in that 0:00:21.720 --> 0:00:25.599 repetitively expired air, dropping that oxidative state. You're making the 0:00:25.640 --> 0:00:27.440 blood more hospitable to disease. 0:00:30.400 --> 0:00:33.479 Hey everyone, I've got some huge news to share with you. 0:00:33.960 --> 0:00:37.560 In the last ninety days, seventy nine point four percent 0:00:37.640 --> 0:00:40.919 of our audience came from viewers and listeners that are 0:00:41.000 --> 0:00:44.720 not subscribed to this channel. There's research that shows that 0:00:44.760 --> 0:00:47.440 if you want to create a habit, make it easy 0:00:47.479 --> 0:00:51.239 to access. By hitting the subscribe button, you're creating a 0:00:51.280 --> 0:00:55.680 habit of learning how to be happier, healthier, and more healed. 0:00:56.040 --> 0:00:59.000 This would also mean the absolute world to me and 0:00:59.120 --> 0:01:02.920 help us make better, bigger, brighter content for you in 0:01:02.960 --> 0:01:04.800 the world. Subscribe right now. 0:01:05.120 --> 0:01:10.480 The number one health and wellness podcast Jay, Shet Jay Shenny, Zily, 0:01:10.800 --> 0:01:12.000 Jay Shety. 0:01:13.720 --> 0:01:16.399 He Everyone, Welcome back to you on Purpose, the place 0:01:16.440 --> 0:01:19.880 you come to to become a happier, healthier and more healed. 0:01:19.920 --> 0:01:22.440 You know that we're dedicated to making sure that you 0:01:22.480 --> 0:01:25.800 get the insights, the habits, the hacks, the advice that's 0:01:25.840 --> 0:01:29.280 going to help you uplift your life from wherever you 0:01:29.400 --> 0:01:32.840 currently are. So, if you're someone who wants to live longer, 0:01:33.120 --> 0:01:35.600 this episode is for you. If you're someone who wants 0:01:35.640 --> 0:01:38.640 to get healthier, even if you're starting from zero, this 0:01:38.720 --> 0:01:41.000 episode is for you. And if you're someone who's been 0:01:41.000 --> 0:01:44.040 hearing about biohacking and longevity and you're kind of confused 0:01:44.040 --> 0:01:46.040 and you're thinking, I have no idea where to start, 0:01:46.400 --> 0:01:50.760 this episode is for you. Today's guest is Gary Brecker, 0:01:51.040 --> 0:01:54.600 the co founder and chief biologist of ten Ex Health 0:01:54.800 --> 0:01:57.640 and the founder of The Ultimate Human. With more than 0:01:57.680 --> 0:02:01.320 twenty years of bio hacking and functional medicine experience, he 0:02:01.400 --> 0:02:04.960 is obsessed with the function and performance of the human 0:02:05.040 --> 0:02:09.160 body and finding innovative ways to help people achieve absolute 0:02:09.160 --> 0:02:12.560 peak function in their bodies. Please welcome to the show, 0:02:12.760 --> 0:02:15.040 Gary Breka, Gary, thank you for being here. 0:02:15.080 --> 0:02:17.239 I am so excited to be here at the top 0:02:17.240 --> 0:02:17.800 of the mountain. 0:02:18.200 --> 0:02:18.400 You know. 0:02:19.040 --> 0:02:21.000 On the way up here, though, I was kind of like, 0:02:21.160 --> 0:02:23.440 not it on some of these places that are sticking 0:02:23.520 --> 0:02:24.800 out from the edge of the cliff. 0:02:26.440 --> 0:02:28.120 No, I've been looking forward to this. I'm a huge fan. 0:02:28.160 --> 0:02:30.200 I've been loving what you've been doing in early Thank you. 0:02:30.480 --> 0:02:32.600 I've been loving watching your interviews. I'm so glad to 0:02:32.639 --> 0:02:34.800 finally have you here. I remember when I first came 0:02:34.800 --> 0:02:36.040 across you told my team, I was like, we've got 0:02:36.080 --> 0:02:37.120 to get Gary on really. 0:02:37.160 --> 0:02:39.720 Thank you so much, man, I mean super pumped to 0:02:39.760 --> 0:02:40.720 be here too. Man, me too. 0:02:40.720 --> 0:02:42.280 And I'm always trying to learn. I feel like I'm 0:02:42.280 --> 0:02:45.360 always trying to grow. I'm I'm new in this space 0:02:45.400 --> 0:02:47.239 in the sense that I got into in the last 0:02:47.280 --> 0:02:50.480 couple of years, and I'm learning from great experts like yourself. 0:02:50.520 --> 0:02:52.240 And I want to start off by talking about this 0:02:52.280 --> 0:02:56.639 because you talk about the ability to predict how long 0:02:56.680 --> 0:03:00.920 someone will live, and that sounds fascinating and crazy at 0:03:00.960 --> 0:03:01.560 the same time. 0:03:01.680 --> 0:03:03.960 It does always that possive. Well, first of all, it's 0:03:03.960 --> 0:03:07.119 based on large data, and it wasn't me just looking 0:03:07.160 --> 0:03:09.240 at blood work and gene tests and saying I can 0:03:09.280 --> 0:03:11.160 tell you how many more months you have left on earth. 0:03:11.480 --> 0:03:13.320 But if we got in the industry that I was 0:03:13.360 --> 0:03:16.040 previously associated with, which was large life insurance, if we 0:03:16.120 --> 0:03:18.920 got ten years of medical records on you and ten 0:03:19.000 --> 0:03:22.600 years of demographic data, we could tell the insurance company 0:03:22.880 --> 0:03:25.440 how long you had to live to the month. And 0:03:25.760 --> 0:03:28.400 there are enormous companies that do this. If the biggest 0:03:28.400 --> 0:03:31.200 one is probably a Fasano in Associates. But this is 0:03:31.240 --> 0:03:34.680 based on very very large pools of data. And remember 0:03:34.680 --> 0:03:38.720 that life insurance companies have data that no other financial 0:03:38.720 --> 0:03:42.240 services enterprise has. No other you know, bank has, CDC 0:03:42.360 --> 0:03:45.800 doesn't have it, Collegiate universities that are doing longevity studies 0:03:45.800 --> 0:03:48.200 don't have it. And that is that they know the day, 0:03:48.320 --> 0:03:51.000 the date, the time, the location, and the cause of 0:03:51.040 --> 0:03:55.480 death for hundreds of millions of lives. And they have 0:03:56.160 --> 0:03:59.200 blood work on these people. They have, you know, very 0:03:59.200 --> 0:04:02.080 in depth analytics on their demographic data. If you've ever 0:04:02.120 --> 0:04:04.760 applied for a large life insurance company or large life 0:04:04.800 --> 0:04:07.240 insurance policy, let's say five million, ten million, twenty five 0:04:07.280 --> 0:04:11.800 million dollar policy, there was at some point somebody determining 0:04:11.840 --> 0:04:14.600 not where you were on an actuary curve, but your 0:04:14.640 --> 0:04:18.640 specific mortality. And the way that it's done is you 0:04:18.680 --> 0:04:20.680 start with an actuar outcurve. Right, So if you're thirty 0:04:20.720 --> 0:04:22.839 five year old male, you have a life expectancy of acts. 0:04:22.880 --> 0:04:24.919 Of your twenty eight year old female, you have a 0:04:24.920 --> 0:04:27.720 life expectancy of why. The question is not where are 0:04:27.760 --> 0:04:30.320 you on that curve, but what is your specific mortality? 0:04:30.920 --> 0:04:36.479 And it's incredible how big data trends can actually predict 0:04:36.560 --> 0:04:39.440 and not only the onset of and the severity of, 0:04:39.560 --> 0:04:43.240 but how quickly you succumb to certain disease conditions. And 0:04:43.760 --> 0:04:47.720 what became glaringly apparent to me was that, you know, 0:04:47.760 --> 0:04:50.560 if the database that I had access to during that 0:04:51.160 --> 0:04:54.839 twenty plus year career could see the light of day, 0:04:54.920 --> 0:04:57.800 it would permanently change the face of humanity. It would 0:04:57.920 --> 0:04:59.880 upend modern medicine in a way that would be catched 0:05:00.800 --> 0:05:04.159 because they have real data, you know. So if you 0:05:04.200 --> 0:05:07.800 went to your cardiologists, for example, and he put some 0:05:07.839 --> 0:05:10.360 heart stints in your heart and you left his office, 0:05:11.000 --> 0:05:12.599 you may or may not ever see him again. He 0:05:12.640 --> 0:05:14.920 doesn't know if something happened to you three days later 0:05:15.040 --> 0:05:17.240 or thirty years later, and you if you pass because 0:05:17.279 --> 0:05:20.880 of complications related to the heart stint, or just died 0:05:20.920 --> 0:05:23.599 of happy ripe old age. But the insurance company know 0:05:23.720 --> 0:05:27.280 exactly day, date, time, location, and cause of death, and 0:05:27.320 --> 0:05:29.840 you can triangulate that back into the record and you 0:05:29.880 --> 0:05:32.760 can see where the mistakes were made either in diagnostics. 0:05:32.760 --> 0:05:35.080 As we know, medical errors is the third leading cause 0:05:35.120 --> 0:05:37.960 of death. And that doesn't mean that doctors are out 0:05:38.000 --> 0:05:41.000 to kill people or that the healthcare system is out 0:05:41.000 --> 0:05:44.360 to kill people. We know that it's completely overburdened and 0:05:44.400 --> 0:05:47.400 sometimes medical error occurs. It just happens to occur at 0:05:47.400 --> 0:05:49.920 a rate that in the United States at least is 0:05:50.279 --> 0:05:53.320 the third leading cause of death. And if you ever 0:05:53.320 --> 0:05:57.160 want to question whether or not insurance companies are good 0:05:57.160 --> 0:05:59.360 at predicting mortality, just look at what happened during the 0:05:59.400 --> 0:06:01.000 two thousand and eight eight in two thousand and nine 0:06:01.120 --> 0:06:04.200 financial services crisis. We had three hundred and sixty four 0:06:04.279 --> 0:06:07.680 banks fail. You didn't have a single life insurance company fail. 0:06:08.040 --> 0:06:10.520 In the United States, a valid death claim in America 0:06:10.720 --> 0:06:14.880 has never failed to have been paid. Now that's an 0:06:14.880 --> 0:06:17.760 impressive statistic, but you also have to realize that only 0:06:17.800 --> 0:06:20.280 two percent of life insurance policies ever pay a death claim. 0:06:20.400 --> 0:06:23.480 Ninety eight percent of all life insurance policies lapse. So 0:06:24.400 --> 0:06:27.560 I guess you don't really belabor that point. But the 0:06:28.440 --> 0:06:31.359 science of mortality is some of the most accurate science 0:06:31.400 --> 0:06:34.560 in the world, and if you really boil it down 0:06:34.640 --> 0:06:38.760 to the sum of its components, you find that it's 0:06:38.880 --> 0:06:42.680 predicting where processes in the body that are running on 0:06:42.839 --> 0:06:48.120 parallel tracks will finally converge, right, what we call code morbidities. 0:06:48.839 --> 0:06:52.960 When that happens, there is a parabolic rise in the 0:06:53.000 --> 0:06:56.760 ability to predict in the terminal end of somebody's life. 0:06:57.000 --> 0:06:59.880 We know that, for example, all human beings leave this 0:07:00.200 --> 0:07:02.440 the same way. We actually all die of the same thing. 0:07:02.880 --> 0:07:05.400 It's called hypoxia, lack of oxygen to the brain. So 0:07:05.440 --> 0:07:08.040 when you can no longer sustain enough oxygen to the 0:07:08.040 --> 0:07:10.000 brain that you know a brain function, that's essentially the 0:07:10.040 --> 0:07:15.240 definition of death. And we think of it as an 0:07:15.320 --> 0:07:17.760 event like a gunshot wound, a heart attack, bus, a stroke, 0:07:18.600 --> 0:07:21.320 you know, some other kind of event. But the truth 0:07:21.400 --> 0:07:25.600 is that this is a predictable curve. We used to 0:07:26.800 --> 0:07:29.280 use an underlying what we call a hypoxic curve. How 0:07:29.320 --> 0:07:32.360 well is this person managing oxygen or how poorly are 0:07:32.440 --> 0:07:36.040 they managing oxygen And once we were able to predict that, 0:07:36.080 --> 0:07:41.040 looking at blood cell counts, hemoglobin levels, hormone levels, nutrient deficiencies, 0:07:41.080 --> 0:07:44.480 you can very accurately discern whether or not somebody has 0:07:44.520 --> 0:07:47.560 a fighting chance of getting out of their condition or 0:07:47.640 --> 0:07:51.400 of that condition, you know, resulting in their demise. And 0:07:52.840 --> 0:07:56.520 you know, two things were very trying for me in 0:07:56.560 --> 0:07:59.680 that industry. One was that, you know, I really began 0:07:59.720 --> 0:08:01.720 to realize that it wasn't just data, there were human 0:08:01.760 --> 0:08:04.320 beings on the other side of these spreadsheets. But the 0:08:04.360 --> 0:08:08.680 second immensely obvious point that came out of twenty years 0:08:08.680 --> 0:08:11.520 in that career was that the majority of the reason 0:08:11.560 --> 0:08:15.720 why people are not living healthier, happier, longer, more fulfilling 0:08:15.800 --> 0:08:19.560 lives is were because of things that we called modifiable 0:08:19.640 --> 0:08:23.600 risk factors, just simple changes that they could have made 0:08:23.680 --> 0:08:26.360 to their daily routine that would have materially changed the 0:08:26.400 --> 0:08:28.760 trajectory of their life. In most cases, they had to 0:08:28.760 --> 0:08:31.280 do with simple basic nutrients that were missing from their 0:08:31.320 --> 0:08:35.080 body that were causing the expression of disease. And you know, 0:08:35.120 --> 0:08:38.600 anemia's D three deficiencies hormone and balanced not because of 0:08:39.160 --> 0:08:43.360 their endegrine system had a particular disease or pathology, but 0:08:43.400 --> 0:08:46.520 because it was nutrient efficient, and it became so obvious 0:08:46.520 --> 0:08:48.160 to me that if I'd just been able to pick 0:08:48.200 --> 0:08:51.440 up the phone and call any number of these people, 0:08:52.080 --> 0:08:55.680 you know, I could have dramatically changed the trajectory of 0:08:55.679 --> 0:08:56.200 their life. 0:08:56.400 --> 0:08:59.880 Well, I mean, when I'm hearing you talk about oxygen 0:09:00.120 --> 0:09:06.480 the brain, which sounds so obvious, but it's something that 0:09:06.640 --> 0:09:08.320 is rarely articulated. 0:09:08.760 --> 0:09:14.360 Oxygen to the brain is not just gas entering the brain. 0:09:14.480 --> 0:09:17.760 You know, if you look at the molecular structure of 0:09:17.840 --> 0:09:21.960 a lot of the states in the brain that we 0:09:22.000 --> 0:09:25.240 talk about, Like if you were to say to me, 0:09:25.360 --> 0:09:29.160 what is a mood? What is an emotional state? Well, 0:09:29.760 --> 0:09:33.640 it's a collection of neurotransmitters, in most cases bound to oxygen. 0:09:33.679 --> 0:09:37.040 If you look at the moleculial structure of some of 0:09:37.120 --> 0:09:41.360 these activated, deactivated neurotransmitters, or some of these the differences 0:09:41.400 --> 0:09:45.280 between different moods elevated emotional states passion, elation, joy, arousal, 0:09:45.440 --> 0:09:49.840 or suppressed emotional states anger, you know, vengeance, despair, You'd 0:09:49.840 --> 0:09:53.959 find that a large reason, a large difference between these 0:09:54.000 --> 0:09:56.960 two emotional states is the presence of oxygen. You know, 0:09:57.200 --> 0:09:58.880 one of the reasons why no human being has ever 0:09:58.920 --> 0:10:01.720 woken up laughing is because you don't have the oxidative 0:10:01.760 --> 0:10:05.440 state to experience laughter. But can you wake up angry 0:10:06.400 --> 0:10:10.120 very easily? Lower to your emotional states do not require 0:10:10.160 --> 0:10:13.679 the presence of oxygen. And so when you know, if 0:10:13.720 --> 0:10:15.320 you want to do a fun experiment and I just 0:10:15.320 --> 0:10:17.079 just pinch your wife while she's in a deep sleep, 0:10:17.120 --> 0:10:20.959 she will instantly wake up angry. Right, I actually don't 0:10:20.960 --> 0:10:25.120 suggest that I may not. But if you wanted her 0:10:25.120 --> 0:10:28.719 to laugh, right, if you wanted her to be joyous, 0:10:29.679 --> 0:10:32.360 if you wanted her to be elated, aroused, you would 0:10:32.400 --> 0:10:36.800 have to you know, wake her up, improve the oxidative state, 0:10:36.880 --> 0:10:39.880 and then allow those emotions to come in to play. 0:10:40.480 --> 0:10:43.120 And and so you know, I have a saying that 0:10:43.160 --> 0:10:46.600 the presence of oxygen is the absence of disease. And 0:10:46.679 --> 0:10:49.960 so we know, and you know very well because you're 0:10:50.040 --> 0:10:53.560 you're you're in the space that we feel emotion in 0:10:53.640 --> 0:10:55.719 an area of the brain called the amygdalah right, a 0:10:55.720 --> 0:11:01.559 little two little almonds. And fascinating thing about this area 0:11:01.600 --> 0:11:03.760 of the brain where we experience every emotional state that 0:11:03.800 --> 0:11:06.319 we can experience if you're angry, you're angry in the amigdala. 0:11:06.320 --> 0:11:09.280 If you're elated, you're elated in the amigal area of 0:11:09.320 --> 0:11:12.720 the brain. Is that it is, according to MIT, the 0:11:12.720 --> 0:11:16.120 sole gateway to the hippocampus, which is where our memory 0:11:16.160 --> 0:11:19.839 is stored. And so when you start thinking about that 0:11:19.880 --> 0:11:22.680 from a physiological standpoint, like, well, the sole gateway to 0:11:22.679 --> 0:11:24.880 the hippocampus is through the amigla, But when you start 0:11:24.880 --> 0:11:28.040 thinking from a practical standpoint, then the sole gateway to 0:11:28.080 --> 0:11:32.040 our memory is through our current emotional state. And if 0:11:32.040 --> 0:11:34.600 that's how we access memory, and memory is what we 0:11:34.720 --> 0:11:38.480 draw upon our prefernal cortex, and our consciousness, our future 0:11:38.640 --> 0:11:43.440 draws from our memories, then if the amigla is what 0:11:43.559 --> 0:11:47.000 accesses the hippocampus part of the brain and taps into 0:11:47.080 --> 0:11:49.640 our memory, and then our conscience pulls from our memory, 0:11:49.679 --> 0:11:54.120 then this essentially means that your current emotional state determines 0:11:54.120 --> 0:11:57.720 your future. And I just feel like if we could 0:11:58.120 --> 0:12:04.160 improve the capacity for people to experience elevated emotional states 0:12:04.240 --> 0:12:07.680 for prolonged periods of time, not like a heart monitor, right, 0:12:08.080 --> 0:12:10.560 because you find so many people that are not in 0:12:10.600 --> 0:12:14.640 good physiological condition, that are trying to become in better 0:12:15.200 --> 0:12:21.840 emotional condition, right, better mood, and they are only able 0:12:21.920 --> 0:12:24.080 to reach these emotional states for short periods of time, 0:12:24.160 --> 0:12:27.080 like a heart monitor. So and they do all the 0:12:27.120 --> 0:12:29.680 right things. They wake up, they journal, they read self help, 0:12:29.720 --> 0:12:32.480 motivational books, they go to the right seminars, they try 0:12:32.520 --> 0:12:37.800 to express gratitude, even even fake their way through it. 0:12:37.840 --> 0:12:41.640 But as soon as they're done that intentional focus, it 0:12:41.720 --> 0:12:45.080 drops back down into the state where they most comfortably exist. 0:12:45.600 --> 0:12:47.200 And I believe a lot of this has to do 0:12:47.320 --> 0:12:49.400 with the oxidative state in the brain. It also has 0:12:49.440 --> 0:12:52.600 to do with nutrient deficiencies, right, I mean, every every 0:12:52.640 --> 0:12:55.000 emotion that we can feel, every every mood that we 0:12:55.040 --> 0:12:57.960 can experience, is a collection of neurotransmitters. As we have 0:12:58.040 --> 0:13:03.120 imbalances and deficiencies in these, then we cannot manufacture the 0:13:03.160 --> 0:13:07.079 moods and the emotional states that we really want to experience. 0:13:07.360 --> 0:13:09.880 And then we're told we have a mood disorder or 0:13:09.880 --> 0:13:13.040 a mental illness, and I think very often we just 0:13:13.080 --> 0:13:18.760 have a lack of mental fitness. And so when you realize, 0:13:18.920 --> 0:13:23.240 like the happiest people are the people that are moving 0:13:23.280 --> 0:13:28.840 the most, that have the greatest sense of purpose and 0:13:28.840 --> 0:13:32.960 that they're not necessarily the world's greatest biohackers. But they're 0:13:32.960 --> 0:13:36.520 eating whole foods, they're moving their body a lot, they 0:13:36.520 --> 0:13:38.240 have a sense of purpose. You look at the blue 0:13:38.280 --> 0:13:41.319 zones and some of the things that actually extend life. 0:13:41.360 --> 0:13:44.320 You know, we would see this in the medical record. Yeah, 0:13:44.360 --> 0:13:47.079 we're those people actually having some alcohol. Yeah, where those 0:13:47.080 --> 0:13:49.839 people actually having a little bit of elevated LDL cholesterol. 0:13:49.920 --> 0:13:53.920 Sure did those people eat sweets once in a while, Yeah, 0:13:53.960 --> 0:13:57.760 they sure did. But they moved on a consistent basis, 0:13:57.840 --> 0:14:01.800 and they had relationships, They had a sense of purpose, 0:14:02.040 --> 0:14:04.960 and for the most part, they ate whole foods and 0:14:05.000 --> 0:14:07.440 not any particular type of whole food, not any particular 0:14:07.440 --> 0:14:09.960 type of diet. Wasn't the carnivore diet that extended their life. 0:14:09.960 --> 0:14:12.200 It wasn't the keto diet that extended their life. It 0:14:12.240 --> 0:14:15.160 wasn't the raw food vegan diet that extended their life. 0:14:15.160 --> 0:14:17.440 It was the whole food diet, you know, just eating 0:14:17.679 --> 0:14:20.640 real foods. So I kind of diverted there for a. 0:14:20.640 --> 0:14:22.120 Second, But no, I get where you're going. 0:14:22.200 --> 0:14:24.480 Yeah, how sometimes my wife is like, you just eat 0:14:24.480 --> 0:14:28.000 people's face, you know. So the government you sit next 0:14:28.040 --> 0:14:29.600 to me on like a commercial flight or something. 0:14:29.680 --> 0:14:32.160 Oh yeah, I love it, I love it. Just how 0:14:32.160 --> 0:14:33.600 do we how do we? How do we do that? 0:14:33.600 --> 0:14:36.600 They're like, how do we get more oxygen into our brain? 0:14:36.640 --> 0:14:36.720 Like? 0:14:36.720 --> 0:14:38.040 What does that mean? What does that look like? 0:14:38.120 --> 0:14:40.200 Well, I mean we know that sedentary lifestyle is the 0:14:40.280 --> 0:14:42.960 leading cause of all cause mortality, right, And why is 0:14:43.040 --> 0:14:45.520 sedentary lifestyle the leading cause of all cause mortality? We 0:14:45.560 --> 0:14:47.920 know that the sitting is the new smoking. Well, we 0:14:47.960 --> 0:14:49.760 know why smoking was bad for you, right, it's short 0:14:49.800 --> 0:14:53.360 of the lungs. But uh, and you know that the 0:14:53.440 --> 0:14:57.280 nicketine caused permanent lung damage. And but it wasn't the 0:14:57.800 --> 0:15:00.920 really the nicketine. It was the reduction in the oxidative state. 0:15:01.400 --> 0:15:04.760 And when the body doesn't have oxygen, it can't really 0:15:04.760 --> 0:15:07.000 defend itself. I mean, if you actually were to go 0:15:07.080 --> 0:15:09.000 in through the wall of a cell, go through the 0:15:09.000 --> 0:15:13.560 cytoplasm and find the little organelles floating around in there, 0:15:13.600 --> 0:15:16.360 called the mitochondria, which there's probably one thousand or so 0:15:16.480 --> 0:15:19.320 per cell and thirty two trillion cells, so it's estimated 0:15:19.360 --> 0:15:22.800 we have one hundred and ten trillion mitochondria, about ten 0:15:22.840 --> 0:15:24.920 percent of your body weight of these little mitochondria. These 0:15:25.200 --> 0:15:29.440 this is the true energy source for human beings. And 0:15:30.120 --> 0:15:34.960 when cells become metabolically sick, it usually begins in the mitochondria, 0:15:35.080 --> 0:15:39.920 including the genesis of cancer and forms of all kinds 0:15:39.960 --> 0:15:43.480 of different pathologies. So when the mitochondria does not have 0:15:43.520 --> 0:15:48.720 the right oxidative state, you have a sixteenfold step down 0:15:49.080 --> 0:15:52.200 in its production of energy. And what happens when you 0:15:52.280 --> 0:15:55.600 take a sixteenfold step down in the energetic state of 0:15:55.640 --> 0:15:59.120 a cell is now that cell can no longer eliminate waste, repair, 0:15:59.240 --> 0:16:04.800 to toxify, regenerate, and so you're becoming metabolically sick mainly 0:16:04.840 --> 0:16:07.640 because of the deficiency and oxygen. It's not that linear, 0:16:07.720 --> 0:16:12.680 but that is the main component. And sedentary lifestyle means 0:16:12.720 --> 0:16:16.240 that we have prolonged periods of where our respiratory rate 0:16:16.280 --> 0:16:18.920 is very shallow. When a respiratory rates very shallow, the 0:16:18.960 --> 0:16:20.680 majority of the air that we breathe in and out 0:16:20.840 --> 0:16:24.160 is high in carbon dioxide seek spelled air. I mean 0:16:24.240 --> 0:16:26.240 right now, every time you let out a breath from 0:16:26.280 --> 0:16:28.000 the tip of your nose, in the front of your lips, 0:16:28.280 --> 0:16:30.040 all the way down your esophagus, through the back of 0:16:30.120 --> 0:16:32.000 your pharynx and all the way down and out to 0:16:32.000 --> 0:16:35.200 the baranchials in your lungs. This is all expired air. 0:16:35.680 --> 0:16:38.520 So when you breathe in and out, if it's very shallow, 0:16:39.200 --> 0:16:43.120 you're breathing in that repetitively expired air, and you're dropping 0:16:43.160 --> 0:16:45.560 that oxidative state in the blood. You're making the blood 0:16:45.600 --> 0:16:51.119 more acidic, You're making it more hospitable to disease, not alkaline, 0:16:51.160 --> 0:16:54.320 and less hospitable and not full of oxygen, which is energetic, 0:16:54.560 --> 0:16:58.000 and so water wasts to get more oxygen. Obviously, things 0:16:58.040 --> 0:17:00.720 like breath work just simply moving body. 0:17:00.800 --> 0:17:02.920 Give us, give us one that. So I love what 0:17:02.960 --> 0:17:05.600 you're saying here because it's so fascinating to understand that 0:17:06.280 --> 0:17:11.240 the reason a shallow breath is reducing our lifespan is 0:17:11.240 --> 0:17:13.280 because of this idea of just how much can get 0:17:13.320 --> 0:17:14.200 stuck and lost. 0:17:14.000 --> 0:17:15.400 In there that's changing in the gases. 0:17:15.520 --> 0:17:18.960 Yeah, and so what are some breathwork practices? Because I 0:17:18.960 --> 0:17:20.760 think what we don't realize today is with everyone dealing 0:17:20.760 --> 0:17:24.120 with anxiety, dealing with stress, dealing with pressure, we're all 0:17:24.160 --> 0:17:29.320 subconsciously breathing far more shallower and we're breathing quicker. And 0:17:29.440 --> 0:17:31.480 you got these shorter, quicker breaths, and I think sometimes 0:17:31.520 --> 0:17:34.320 we're doing it without knowing at all. What are some 0:17:34.320 --> 0:17:36.640 great breath work practices that you stand by that so. 0:17:37.040 --> 0:17:38.879 You know, I don't have a breathwork practice that I 0:17:39.680 --> 0:17:41.760 take credit for. I use a whim half style of 0:17:41.800 --> 0:17:44.600 breath work. I mean, you could spend a lifetime going 0:17:44.840 --> 0:17:46.399 and I encourage people to do so. I mean the 0:17:46.440 --> 0:17:50.000 lifetime going down just the breath work avenue. There's breath 0:17:50.040 --> 0:17:51.960 work to wake up, there's breath work to go to sleep. 0:17:52.320 --> 0:17:54.360 But I think it's important, you know, as a part 0:17:54.359 --> 0:17:58.399 of a really daily health practice, longevity practice. Are you 0:17:58.480 --> 0:18:00.160 just taking a deep breath now? 0:18:00.160 --> 0:18:03.640 I'm like, He's like, say yeah, I'm like, yeah, let's 0:18:03.680 --> 0:18:04.360 get it really too. 0:18:04.560 --> 0:18:07.560 Like I'm not dying anytime. Yeah, I'm not going I'm 0:18:07.560 --> 0:18:08.040 not going down. 0:18:08.160 --> 0:18:10.080 I'm listening to once and is taking a breath right 0:18:10.119 --> 0:18:12.400 now too. Everyone's like everyone's saying the same thing I'm doing. 0:18:12.400 --> 0:18:15.040 They're doing it right now. Everyone's like counting how long 0:18:15.080 --> 0:18:16.200 that breath is right now. 0:18:16.640 --> 0:18:19.640 The truth is, you know, it's better to breathe deeper 0:18:19.640 --> 0:18:22.760 and longer and less frequently than it is to breathe 0:18:22.760 --> 0:18:26.000 more shallow and less frequently. In fact, wim Hoff, in 0:18:26.080 --> 0:18:29.359 some of his teachings, will do a very simple exercise 0:18:29.400 --> 0:18:31.080 where he'll say, I just want you to look down 0:18:31.080 --> 0:18:32.800 at your watch, and I want you to count the 0:18:32.880 --> 0:18:34.480 number of times you breathe in and out in the 0:18:34.560 --> 0:18:37.760 next minute. And people will just they don't know that 0:18:37.760 --> 0:18:41.320 they're actually being tripped. And what he's showing is that 0:18:41.359 --> 0:18:45.720 the majority of people are are are breathing fifteen, eighteen, 0:18:45.880 --> 0:18:50.919 sometimes twenty breaths in sixty seconds. And what this is 0:18:50.920 --> 0:18:53.320 showing you is if you're breathing that frequently, you're breathing 0:18:53.320 --> 0:18:57.280 that frequently because of the very little amount of oxygen 0:18:57.400 --> 0:19:00.879 that you're getting, and so you're breathing show and your 0:19:00.920 --> 0:19:05.560 brother buddy is trying to get more oxygen. Then he says, okay, 0:19:05.640 --> 0:19:08.960 count the number of breass in the next minute. I 0:19:09.000 --> 0:19:12.360 want you to only take four breasts for the entire minute, 0:19:12.600 --> 0:19:17.639 one every fifteen seconds, and you're gonna breathe in, and 0:19:17.720 --> 0:19:22.399 you're gonna pause, and you're gonna breathe out. And so 0:19:23.080 --> 0:19:26.080 essentially what he's trying to demonstrate is that in that 0:19:26.160 --> 0:19:31.199 same minute, four breaths actually was equivalent to fifteen or 0:19:31.240 --> 0:19:33.840 eighteen or twenty breasts in the same period of time, 0:19:33.880 --> 0:19:37.000 but they were four deep press as we age. I 0:19:37.000 --> 0:19:38.960 read a statistic. I don't know if there's any valid 0:19:39.000 --> 0:19:42.280 science behind this or not. I actually got hassled online 0:19:42.320 --> 0:19:46.000 for repeating this, but I read a statistic that after 0:19:46.080 --> 0:19:51.080 age thirty, less than ninety five percent of people will 0:19:51.119 --> 0:19:54.840 ever sprint. Again, how much truth is to that? But 0:19:54.880 --> 0:19:57.200 as I kind of just meander my way through the world, 0:19:57.560 --> 0:19:59.760 I have a tendency to think that it's you know, 0:20:00.560 --> 0:20:03.680 fairly close. And if it's not ninety five percent of people, 0:20:03.720 --> 0:20:06.960 maybe it's seventy percent of people. But after age thirty, 0:20:06.960 --> 0:20:09.359 and this means that we're not using our auxiliary muscles 0:20:09.400 --> 0:20:11.800 of respiration, we're not using our inner costals, we're not 0:20:11.880 --> 0:20:14.960 using our diaphragm to massage or intestines. We're not correcting 0:20:14.960 --> 0:20:17.080 our posture and getting you know, air down into the 0:20:17.119 --> 0:20:18.919 lobes of our lungs and out of the apex of 0:20:18.920 --> 0:20:22.719 our lungs. And so what wim Hoff talks about is 0:20:22.720 --> 0:20:26.280 is I do three rounds of thirty breaths every morning. 0:20:26.320 --> 0:20:28.960 It takes about eight minutes. That is the one thing 0:20:29.040 --> 0:20:34.080 that I do. Then I never ever, ever, ever miss. 0:20:34.000 --> 0:20:36.560 Three rounds of thirty breaths that every minute you're only 0:20:36.560 --> 0:20:37.080 taking four. 0:20:36.960 --> 0:20:39.159 Breath no, no, so it's three rounds of thirty breasts. 0:20:39.119 --> 0:20:42.119 So the one minute of four breasts was just a 0:20:42.119 --> 0:20:45.280 way of showing you how you're actually hyperventilating yourself. You're 0:20:45.320 --> 0:20:48.119 actually you know, if you're taking twenty breaths in a 0:20:48.119 --> 0:20:50.560 minute or fifteen breaths in a minute, those are really 0:20:50.600 --> 0:20:53.520 short breasts, and which means you're not drawing in a 0:20:53.520 --> 0:20:55.480 lot of oxygen, and you made it through the next 0:20:55.480 --> 0:20:59.560 minute breathing less than a quarter of the amount of time. 0:21:00.040 --> 0:21:02.600 And it just shows you that it's because during those 0:21:02.800 --> 0:21:05.280