1 00:00:08,160 --> 00:00:10,600 Speaker 1: Welcome to two Percent. I am your host, Michael Easter. 2 00:00:10,760 --> 00:00:13,560 Speaker 1: If you've been listening to this podcast at all, you 3 00:00:13,600 --> 00:00:15,840 Speaker 1: will know that about a year ago, at this time, 4 00:00:15,920 --> 00:00:19,520 Speaker 1: I was on a hike through southern Utah for forty 5 00:00:19,520 --> 00:00:23,200 Speaker 1: five days straight. I walked about a marathon a day now. 6 00:00:23,280 --> 00:00:25,440 Speaker 1: Leading up to this, I had a lot of questions 7 00:00:25,600 --> 00:00:29,200 Speaker 1: about how to prepare for it physically, so I emailed 8 00:00:29,520 --> 00:00:32,680 Speaker 1: the smartest man alive when it comes to human performance. 9 00:00:33,040 --> 00:00:36,160 Speaker 1: We're talking to Andy Gallpan today. And what Andy did 10 00:00:36,520 --> 00:00:39,240 Speaker 1: is right before I left for my hike, right after 11 00:00:39,360 --> 00:00:41,839 Speaker 1: and forty five days after, he took a bunch of 12 00:00:41,880 --> 00:00:45,160 Speaker 1: my biological measurements and then he analyzed them. He wanted 13 00:00:45,159 --> 00:00:47,960 Speaker 1: to know what happens to the human body during an 14 00:00:48,000 --> 00:00:51,760 Speaker 1: insane endurance event like I did, and what he found 15 00:00:52,360 --> 00:00:55,480 Speaker 1: was really mind blowing. It surprised him, it surprised me, 16 00:00:55,640 --> 00:00:58,040 Speaker 1: and it can give us all lessons about how to 17 00:00:58,120 --> 00:01:03,320 Speaker 1: approach endurance, witness, sleep, all these big different questions. So 18 00:01:03,360 --> 00:01:05,520 Speaker 1: we're not only going to talk about what he found 19 00:01:05,800 --> 00:01:10,479 Speaker 1: via all of my blood, urine, etcetera. Samples, but also 20 00:01:10,600 --> 00:01:13,720 Speaker 1: what he's found working with the greatest athletes in the world. 21 00:01:13,720 --> 00:01:17,200 Speaker 1: He's worked with MVPs, he's worked with cy Young Award winners, 22 00:01:17,240 --> 00:01:22,200 Speaker 1: he's worked with USC champions, and those lessons actually hold 23 00:01:22,520 --> 00:01:25,120 Speaker 1: for the rest of us who aren't extreme athletes. So 24 00:01:25,160 --> 00:01:27,759 Speaker 1: we're going to get into specific tactics that you can 25 00:01:27,880 --> 00:01:31,080 Speaker 1: use in your daily life to live better, to eat better, 26 00:01:31,120 --> 00:01:33,160 Speaker 1: to sleep better, to perform better, and just to be 27 00:01:33,280 --> 00:01:36,520 Speaker 1: a more resilient human who can do anything life throws 28 00:01:36,520 --> 00:01:38,440 Speaker 1: at you. So, with all that said, we're going to 29 00:01:38,480 --> 00:01:46,240 Speaker 1: bring in Andy right now. All right, Andy Gallapin, thanks 30 00:01:46,280 --> 00:01:46,679 Speaker 1: for coming on. 31 00:01:46,800 --> 00:01:49,520 Speaker 2: Man, it's a pleasure to finally be here. It's been 32 00:01:49,520 --> 00:01:50,320 Speaker 2: a work in the make and. 33 00:01:50,280 --> 00:01:52,880 Speaker 1: But we're here. Absolutely, we made it work, all right. 34 00:01:53,640 --> 00:01:56,680 Speaker 1: So here's what I want to start with. February twenty 35 00:01:56,720 --> 00:02:00,360 Speaker 1: twenty five. I'm preparing to do this crazy one hundred 36 00:02:00,360 --> 00:02:04,640 Speaker 1: and fifty mile hike across Utah and I want training advice, 37 00:02:05,720 --> 00:02:09,400 Speaker 1: and so I email you and you completely disregard my 38 00:02:09,480 --> 00:02:12,920 Speaker 1: request for training advice, and you say, no, I want 39 00:02:12,919 --> 00:02:15,520 Speaker 1: to study you, dude. You were going to be my 40 00:02:16,040 --> 00:02:17,920 Speaker 1: lab rat. You want to find out what happens to 41 00:02:17,960 --> 00:02:21,360 Speaker 1: a human during a through hike. So what did you 42 00:02:21,440 --> 00:02:23,160 Speaker 1: have me do from there? And why? 43 00:02:24,080 --> 00:02:24,920 Speaker 3: Yeah, that's interesting. 44 00:02:24,919 --> 00:02:27,600 Speaker 2: It's also classic Andy in the sense that when you 45 00:02:27,639 --> 00:02:29,679 Speaker 2: ask questions, hey, I'm probably going to give you answer B. 46 00:02:30,480 --> 00:02:32,919 Speaker 2: So you know there's tradition you want training advice, and. 47 00:02:32,880 --> 00:02:34,600 Speaker 3: I just totally go somewhere different. 48 00:02:35,760 --> 00:02:37,400 Speaker 2: But what I actually that was going to be interesting 49 00:02:37,400 --> 00:02:39,520 Speaker 2: about it was, you know, we don't have a lot 50 00:02:39,560 --> 00:02:41,240 Speaker 2: of scientific data about things like that. 51 00:02:42,200 --> 00:02:43,840 Speaker 3: If you look at research. 52 00:02:43,440 --> 00:02:47,959 Speaker 2: And physiology, we traditionally have obviously tons of exercise stuff. 53 00:02:48,000 --> 00:02:49,480 Speaker 3: But when you're like, you know, I'm going. 54 00:02:49,480 --> 00:02:52,360 Speaker 2: To hate hike eight our miles, I'm like, well, actually, 55 00:02:52,360 --> 00:02:56,640 Speaker 2: I don't know what's going to happen physiologically. So I 56 00:02:56,680 --> 00:02:58,360 Speaker 2: wanted to do a full blood panel and get as 57 00:02:58,400 --> 00:03:01,320 Speaker 2: many markers as we possibly could. We actually had a 58 00:03:01,320 --> 00:03:05,080 Speaker 2: little bit even more of a Boulder ambitious program. Wanted 59 00:03:05,080 --> 00:03:07,840 Speaker 2: to do full gut microbiome analysis and sleep and a 60 00:03:07,840 --> 00:03:10,320 Speaker 2: bunch of other stuff. And so once we kind of 61 00:03:10,320 --> 00:03:12,960 Speaker 2: started getting into the logistics of what it was going 62 00:03:13,000 --> 00:03:14,520 Speaker 2: to take on your end, we had to pare that 63 00:03:14,560 --> 00:03:17,399 Speaker 2: down a little bit. But what we ended up with 64 00:03:17,560 --> 00:03:23,839 Speaker 2: is a pretty comprehensive blood assessment before immediately after your hike, 65 00:03:24,200 --> 00:03:26,919 Speaker 2: and then forty five days later, and then we got 66 00:03:26,919 --> 00:03:29,040 Speaker 2: some stool samples along the way as well. 67 00:03:29,440 --> 00:03:33,720 Speaker 1: Yeah, So to explain this what this means for the 68 00:03:33,720 --> 00:03:35,760 Speaker 1: listener and how this played out in my own life, 69 00:03:36,360 --> 00:03:39,360 Speaker 1: lady shows up in my house at like five thirty 70 00:03:39,360 --> 00:03:42,480 Speaker 1: in the morning. I have to hand over to her, 71 00:03:42,480 --> 00:03:45,000 Speaker 1: and this is a day before I left. I have 72 00:03:45,120 --> 00:03:48,960 Speaker 1: to give her my stool samples, which is quite awkward, 73 00:03:49,040 --> 00:03:51,280 Speaker 1: but she's done this enough that it was just like nothing. 74 00:03:51,360 --> 00:03:53,120 Speaker 1: This is everyday work for her. I had to give 75 00:03:53,160 --> 00:03:56,280 Speaker 1: her saliva samples from the day before. I had to 76 00:03:56,280 --> 00:03:59,560 Speaker 1: give her a urine sample, and then she took an 77 00:03:59,640 --> 00:04:02,440 Speaker 1: unblable amount of blood. There was like, I don't know, 78 00:04:02,600 --> 00:04:05,240 Speaker 1: fifty vials or something, and thankfully she had this like 79 00:04:06,080 --> 00:04:08,240 Speaker 1: super fast blood taking device that it was just like 80 00:04:08,320 --> 00:04:11,120 Speaker 1: a NASCAR pit crew pulling it out of me. So 81 00:04:11,520 --> 00:04:14,800 Speaker 1: what is the role of each of those samples? 82 00:04:15,080 --> 00:04:16,719 Speaker 3: At the very top, We'll start off with blood. 83 00:04:17,080 --> 00:04:20,239 Speaker 2: And this is nice because a blood draw or blood 84 00:04:20,279 --> 00:04:22,880 Speaker 2: chemistry is will generally call it will give you information 85 00:04:22,960 --> 00:04:25,000 Speaker 2: on every organ in your body that has. 86 00:04:24,960 --> 00:04:27,520 Speaker 3: Blood supply, which is all of them. 87 00:04:28,279 --> 00:04:30,440 Speaker 2: And so we want to be able to complete that picture, 88 00:04:30,480 --> 00:04:32,799 Speaker 2: to not just look at something that is a byproduct 89 00:04:32,839 --> 00:04:34,480 Speaker 2: or result. But then if you go up the chain 90 00:04:34,560 --> 00:04:38,360 Speaker 2: and say, okay, this was this was caused by A, 91 00:04:38,520 --> 00:04:40,800 Speaker 2: B and C. And so we don't just want to 92 00:04:40,800 --> 00:04:44,840 Speaker 2: look at things like inflammation. We want to also look at, okay, 93 00:04:44,880 --> 00:04:48,440 Speaker 2: well what caused the inflammation, What was the endocrine system doing, 94 00:04:48,440 --> 00:04:51,200 Speaker 2: what was the immune system doing? What does your energy 95 00:04:51,200 --> 00:04:54,279 Speaker 2: availability look like? What does your oxygen transportation look like? 96 00:04:54,320 --> 00:04:56,120 Speaker 2: What are the micro nutrients, what are the vitamins, what 97 00:04:56,160 --> 00:04:58,880 Speaker 2: are the minerals, what are the enzymes and metabolites? 98 00:04:58,920 --> 00:05:00,680 Speaker 3: And I could go on and on with as. 99 00:05:00,600 --> 00:05:03,160 Speaker 2: Much details you like there, but the blood will give 100 00:05:03,200 --> 00:05:04,279 Speaker 2: us information on all that. 101 00:05:04,400 --> 00:05:09,240 Speaker 3: So that's home base. Now urine is similar. 102 00:05:09,200 --> 00:05:12,799 Speaker 2: But it's more specific to metabolites, meaning we can see 103 00:05:12,839 --> 00:05:16,120 Speaker 2: the end result of the breakdown. And that's critically important 104 00:05:16,160 --> 00:05:19,320 Speaker 2: because it tells us actually different information because a lot 105 00:05:19,360 --> 00:05:22,120 Speaker 2: of the times the markers and the blood give us potential, 106 00:05:22,960 --> 00:05:25,120 Speaker 2: they give us, you know, kind of what's there. But 107 00:05:25,320 --> 00:05:27,159 Speaker 2: if I know what was there, and then I know 108 00:05:27,200 --> 00:05:29,640 Speaker 2: at the end what was left in the urine, then 109 00:05:29,680 --> 00:05:33,760 Speaker 2: I can completely finalize that math equation and we know 110 00:05:33,960 --> 00:05:38,080 Speaker 2: one hundred percent of what happened, Then saliva tells us 111 00:05:38,160 --> 00:05:41,680 Speaker 2: a different story because we're actually getting some of the 112 00:05:41,680 --> 00:05:44,039 Speaker 2: same markers, but we can cross reference them and we 113 00:05:44,080 --> 00:05:47,240 Speaker 2: can start knocking off false positives and false flags, and 114 00:05:47,240 --> 00:05:49,000 Speaker 2: then there are just some other markers that are better 115 00:05:50,080 --> 00:05:55,599 Speaker 2: in saliva. Stool is the other part. Because the blood 116 00:05:55,640 --> 00:05:58,400 Speaker 2: won't tell you much about that. There's a handful of markers, 117 00:05:58,400 --> 00:05:59,800 Speaker 2: maybe half a dozen, that can tell you a little 118 00:05:59,800 --> 00:06:02,719 Speaker 2: bit about what's going on in the gi and got microbiome. 119 00:06:03,480 --> 00:06:06,320 Speaker 2: But the fastest way outside of like a camera direct 120 00:06:06,320 --> 00:06:09,680 Speaker 2: imaging is actually you get a stool sample. So if 121 00:06:09,680 --> 00:06:11,479 Speaker 2: I had to summarize that all up, Michael, I would say, 122 00:06:12,000 --> 00:06:14,960 Speaker 2: we wanted to know as best as possible everything that 123 00:06:15,040 --> 00:06:17,200 Speaker 2: was going to go on or in your body. 124 00:06:17,279 --> 00:06:20,200 Speaker 1: Yeah, get as much as possible. So then I go out. 125 00:06:20,320 --> 00:06:22,560 Speaker 1: I do the hike forty five days and it's about 126 00:06:22,839 --> 00:06:24,920 Speaker 1: I would say we averaged about twenty five miles a day, 127 00:06:25,040 --> 00:06:28,240 Speaker 1: a lot of elevation change, not on trails, so a 128 00:06:28,279 --> 00:06:34,000 Speaker 1: lot of scrambling, all sorts of bullshit. Frankly, we did 129 00:06:34,000 --> 00:06:35,880 Speaker 1: have a few down days, So I had a couple 130 00:06:35,920 --> 00:06:38,359 Speaker 1: of days where we would you know, sleep in a 131 00:06:38,360 --> 00:06:40,480 Speaker 1: hotel in the town kind of recover you have to 132 00:06:40,520 --> 00:06:44,240 Speaker 1: restock your food and all that. Then I finish. Next day, 133 00:06:45,240 --> 00:06:48,800 Speaker 1: lady comes back, takes it all again. I wait forty 134 00:06:48,800 --> 00:06:52,080 Speaker 1: five days and then she comes back again, takes everything. 135 00:06:52,200 --> 00:06:55,320 Speaker 1: You get the data. You compare these three points in 136 00:06:55,400 --> 00:06:58,640 Speaker 1: time before the hike, right after the hike, forty five 137 00:06:58,839 --> 00:07:01,240 Speaker 1: days later, and what did you find. 138 00:07:01,880 --> 00:07:03,560 Speaker 2: So there's a number of markers to look at, but 139 00:07:03,640 --> 00:07:05,880 Speaker 2: just to pick a couple that maybe people are a. 140 00:07:05,880 --> 00:07:06,920 Speaker 3: Little more familiar with. 141 00:07:08,480 --> 00:07:11,320 Speaker 2: Probably the two biggest hallmark numbers in this are called 142 00:07:11,320 --> 00:07:15,000 Speaker 2: hemoglobin and hamatcrit So these are the parts of your 143 00:07:15,000 --> 00:07:17,680 Speaker 2: red blood cells that carry oxygen through your system. Very 144 00:07:17,760 --> 00:07:21,840 Speaker 2: traditional response. This is kind of week one exercise physiology class. 145 00:07:22,320 --> 00:07:26,440 Speaker 2: The more cartivascable, really fit hemoglobin should go up the 146 00:07:26,520 --> 00:07:29,680 Speaker 2: least or the lower the fitness that goes down, and 147 00:07:29,720 --> 00:07:32,600 Speaker 2: yours did increase. So it was pretty stable from pre 148 00:07:32,680 --> 00:07:35,440 Speaker 2: to post hike, but then even actually at the forty. 149 00:07:35,240 --> 00:07:36,320 Speaker 3: Five day work it went up. 150 00:07:36,320 --> 00:07:38,400 Speaker 2: And so if you guys are familiar with this, this 151 00:07:38,440 --> 00:07:40,760 Speaker 2: is like something in the neighborhood at fourteen point eight 152 00:07:41,560 --> 00:07:44,679 Speaker 2: all the way up to like fifteen point two is rained. 153 00:07:44,760 --> 00:07:47,200 Speaker 3: So not huge improvements, but pretty mild. 154 00:07:47,760 --> 00:07:49,760 Speaker 2: The second one is hamatocrit, which is a percentage of 155 00:07:49,800 --> 00:07:51,840 Speaker 2: your blood that is red blood cells. So it's a 156 00:07:51,880 --> 00:07:54,560 Speaker 2: density marker, if you will. It showed us kind of 157 00:07:54,560 --> 00:07:58,800 Speaker 2: the same trickling. Now this is interesting because while we 158 00:07:58,800 --> 00:08:02,200 Speaker 2: should see this in response aerobic exercise, you wouldn't see 159 00:08:02,200 --> 00:08:05,760 Speaker 2: this if you're in a lower energy availability state. So 160 00:08:05,800 --> 00:08:08,480 Speaker 2: if you're under calorie too much, and we particularly see this, 161 00:08:08,600 --> 00:08:11,280 Speaker 2: and there's a thing called reds rather than energy deficit. 162 00:08:11,880 --> 00:08:16,120 Speaker 2: That's most prominent in young women or girls, but it 163 00:08:16,160 --> 00:08:17,680 Speaker 2: can be in men as well, And so I was 164 00:08:17,680 --> 00:08:19,120 Speaker 2: actually like, what's going to happen here? 165 00:08:19,520 --> 00:08:21,720 Speaker 3: Do you have enough to where your body will continue 166 00:08:21,760 --> 00:08:23,600 Speaker 3: to give you red blood cell bumps? 167 00:08:24,720 --> 00:08:26,160 Speaker 2: Because we also saw that too when we looked at 168 00:08:26,280 --> 00:08:31,480 Speaker 2: RBC's directly red blood cells, those increased along the way. 169 00:08:31,600 --> 00:08:34,000 Speaker 2: So we saw that, and then you actually physically reported 170 00:08:34,040 --> 00:08:36,800 Speaker 2: again you felt great. Energy wise was good, and so 171 00:08:36,840 --> 00:08:41,000 Speaker 2: your symptomology maths physiology. But then we can actually start 172 00:08:41,000 --> 00:08:44,080 Speaker 2: to look at things like your One of the call 173 00:08:44,080 --> 00:08:47,160 Speaker 2: hall markers of kind of like overload fatigue is your 174 00:08:47,160 --> 00:08:50,920 Speaker 2: sodium potastum ratio soding potastum or your primary electrolytes. But 175 00:08:50,960 --> 00:08:52,920 Speaker 2: what people don't realize about them is they'll actually tell 176 00:08:53,000 --> 00:08:57,800 Speaker 2: us stressload. The stress load was high, so your body 177 00:08:57,840 --> 00:09:01,640 Speaker 2: was physiologically stressed. It was resulted in wanting to adapt 178 00:09:01,640 --> 00:09:04,040 Speaker 2: and overcome, and so it ramped up red blood cells 179 00:09:04,480 --> 00:09:09,559 Speaker 2: and auction carrying capacity. So those were interesting and it's good, 180 00:09:09,840 --> 00:09:15,160 Speaker 2: But where we paid the price was metabolism netecrine. So 181 00:09:15,200 --> 00:09:19,560 Speaker 2: we started looking at things like your metabolic health, your 182 00:09:19,640 --> 00:09:20,880 Speaker 2: fasting glucose. 183 00:09:20,480 --> 00:09:24,240 Speaker 3: Your insulin HbA one. See a bunch of markers here. 184 00:09:24,720 --> 00:09:30,520 Speaker 2: Those are typically highly associated with exercise, fitness, and body composition. 185 00:09:31,240 --> 00:09:34,120 Speaker 2: So I actually anticipated those being excellent with you because 186 00:09:34,120 --> 00:09:38,800 Speaker 2: you're doing low level physical activity at huge amounts, and they, 187 00:09:38,920 --> 00:09:41,680 Speaker 2: for the most part didn't like what happened. 188 00:09:41,800 --> 00:09:43,160 Speaker 1: Okay, what does that tell you? 189 00:09:43,600 --> 00:09:46,520 Speaker 3: Some of that is probably genetically driven. 190 00:09:48,160 --> 00:09:49,960 Speaker 2: And then I know in conversations you were like, actually, my. 191 00:09:50,160 --> 00:09:54,520 Speaker 3: Blood ghost is actually pretty traditionally high anyways, but it 192 00:09:54,559 --> 00:09:56,840 Speaker 3: didn't move that much in the hike, which I would 193 00:09:56,840 --> 00:09:57,480 Speaker 3: have anticipated it. 194 00:09:57,480 --> 00:09:59,600 Speaker 2: I would have said, oh, yeah, you get more fit, 195 00:10:00,080 --> 00:10:02,079 Speaker 2: you're lean guy, you're small, you lose weight. 196 00:10:02,920 --> 00:10:04,520 Speaker 3: You should see these things stabilize. 197 00:10:05,440 --> 00:10:08,640 Speaker 2: What probably happened, though, is because you had such a 198 00:10:09,400 --> 00:10:12,640 Speaker 2: stress response happening there. One of the things we know 199 00:10:12,760 --> 00:10:17,000 Speaker 2: happen is stress will increase blood glucose, and maybe a 200 00:10:17,040 --> 00:10:20,000 Speaker 2: better way to say it is stress will compromise metabolic health. 201 00:10:21,000 --> 00:10:22,439 Speaker 3: And so because you were putting. 202 00:10:22,160 --> 00:10:26,000 Speaker 2: Yourself under so much physiological stress, it's just probably a 203 00:10:26,000 --> 00:10:27,880 Speaker 2: function of the fact that you just had to keep 204 00:10:27,880 --> 00:10:31,960 Speaker 2: on at all times. That's my best guess. I would 205 00:10:31,960 --> 00:10:35,160 Speaker 2: have anticipated the opposite, to be honest. So I think 206 00:10:35,160 --> 00:10:37,440 Speaker 2: this is a case of something's happening unique in your 207 00:10:37,480 --> 00:10:40,440 Speaker 2: physiology that just doesn't You're not the Bell curve man, like, 208 00:10:40,480 --> 00:10:42,360 Speaker 2: you're not the normal person. 209 00:10:43,600 --> 00:10:45,440 Speaker 3: And you know, having done I can't tell you. 210 00:10:45,440 --> 00:10:48,240 Speaker 2: How many thousands of labs and stuff on people you 211 00:10:48,280 --> 00:10:52,040 Speaker 2: just see that sometimes. So the story got very interesting 212 00:10:52,080 --> 00:10:54,679 Speaker 2: when we got to your energant system. So this is 213 00:10:54,720 --> 00:10:57,960 Speaker 2: your hormones, right, this is your thyroid, this is your testosterone. 214 00:10:58,520 --> 00:11:00,840 Speaker 2: There's I don't know, eight or ten more markers we 215 00:11:00,880 --> 00:11:03,280 Speaker 2: looked at in those things, and this is the one 216 00:11:03,320 --> 00:11:06,240 Speaker 2: where like I would have a furious debate with somebody 217 00:11:06,280 --> 00:11:10,000 Speaker 2: prior to going in because in general what we see 218 00:11:10,040 --> 00:11:15,520 Speaker 2: happen is and the anabolic system is a classic reactor. 219 00:11:16,160 --> 00:11:18,400 Speaker 3: So if your testosterone goes down. 220 00:11:19,720 --> 00:11:23,040 Speaker 2: It's because you're in chronic low energy availability, or it's 221 00:11:23,040 --> 00:11:26,440 Speaker 2: because you're in chronic metabolic dysfunction, or because you're in 222 00:11:26,480 --> 00:11:27,640 Speaker 2: chronic stress. 223 00:11:27,320 --> 00:11:28,280 Speaker 1: Or or whatever the case is. 224 00:11:29,040 --> 00:11:31,480 Speaker 3: So it's a reactor rather than a primary driver. 225 00:11:33,080 --> 00:11:37,080 Speaker 2: And so your testosterone going in and you gave me, 226 00:11:37,280 --> 00:11:40,920 Speaker 2: you signed the waiver. I can show your hair, so share. 227 00:11:40,440 --> 00:11:42,600 Speaker 1: Your health data here, send it out to the world. 228 00:11:43,040 --> 00:11:46,959 Speaker 2: Total testosterone going into the hike was seven fifty. It's 229 00:11:46,960 --> 00:11:50,400 Speaker 2: a very very very solid number. Most people are going 230 00:11:50,480 --> 00:11:54,280 Speaker 2: to be really mad because they're below four hundred, below 231 00:11:54,320 --> 00:11:57,360 Speaker 2: three hundred, you get like below two hundred. As a 232 00:11:57,520 --> 00:12:01,560 Speaker 2: middle aged man, you're like, you're on medication. 233 00:12:01,800 --> 00:12:03,560 Speaker 1: Yeah, that's a clinical. 234 00:12:03,200 --> 00:12:07,439 Speaker 2: Issue, right, But most people even sub five hundred are 235 00:12:07,480 --> 00:12:10,080 Speaker 2: oftentimes reaching for TRT and you know. 236 00:12:10,120 --> 00:12:13,400 Speaker 3: Things like that. Right, So cruising at seven to fifty. 237 00:12:13,280 --> 00:12:17,720 Speaker 2: Naturally is well above the average. This is this would 238 00:12:17,760 --> 00:12:19,880 Speaker 2: be like an atypical number. It's where you want to be. 239 00:12:19,960 --> 00:12:23,120 Speaker 2: It's actually like pretty much perfect, but we don't see 240 00:12:23,120 --> 00:12:23,679 Speaker 2: it very often. 241 00:12:24,800 --> 00:12:26,520 Speaker 3: But I would create your lifestyle. 242 00:12:26,120 --> 00:12:30,520 Speaker 2: With that, like almost surely your sleep, your stress management, 243 00:12:30,520 --> 00:12:32,920 Speaker 2: your physical activity, your movement, all those things you create 244 00:12:32,920 --> 00:12:36,920 Speaker 2: space for now post hike, you dropped about one hundred points, 245 00:12:38,280 --> 00:12:40,200 Speaker 2: so you went from seven to fifty to six fifty 246 00:12:40,360 --> 00:12:41,360 Speaker 2: in the neighborhood. 247 00:12:41,679 --> 00:12:43,839 Speaker 1: Was that what you would expect or did you think 248 00:12:43,840 --> 00:12:44,679 Speaker 1: it would drop lower. 249 00:12:45,120 --> 00:12:46,280 Speaker 3: It's really tough to say. 250 00:12:46,480 --> 00:12:47,920 Speaker 2: So one thing is you want to be paid, you 251 00:12:47,960 --> 00:12:50,160 Speaker 2: want to be careful with someone like total testosterone. 252 00:12:50,600 --> 00:12:53,280 Speaker 3: There's a natural what we call analytical variants. 253 00:12:53,880 --> 00:12:55,439 Speaker 2: So this is if you take the same people like, 254 00:12:55,480 --> 00:12:57,319 Speaker 2: don't know this stuff in a ton, but if you take 255 00:12:57,320 --> 00:12:59,960 Speaker 2: the same blood sample and set it to two different 256 00:13:00,080 --> 00:13:03,480 Speaker 2: labs with testosterone, you're going to get something the neighborhood 257 00:13:03,480 --> 00:13:07,000 Speaker 2: at twenty to thirty. 258 00:13:05,520 --> 00:13:07,040 Speaker 1: Different score interesting. 259 00:13:07,520 --> 00:13:10,840 Speaker 2: There's also a diurnal variation, so there's a difference between 260 00:13:10,840 --> 00:13:14,280 Speaker 2: morning and evening, and there's a little bit of a. 261 00:13:14,280 --> 00:13:15,160 Speaker 3: Day to day varians. 262 00:13:15,840 --> 00:13:18,520 Speaker 2: We also took a look at your free testosterone, so 263 00:13:18,559 --> 00:13:20,640 Speaker 2: you've got your total amount and then the kind of 264 00:13:20,640 --> 00:13:23,400 Speaker 2: the condensed version of this is the free testosterone is 265 00:13:23,400 --> 00:13:26,800 Speaker 2: the amount that is bioavailable, so it's unbound. 266 00:13:27,360 --> 00:13:28,560 Speaker 3: And so we also look at as. 267 00:13:28,480 --> 00:13:30,840 Speaker 2: Another thing called sex hormone binding globulin, and this is 268 00:13:30,840 --> 00:13:33,200 Speaker 2: one of the markers that binds a bunch of sex hormones, 269 00:13:33,600 --> 00:13:36,319 Speaker 2: but one of them is testosterone. So you know, I'm 270 00:13:36,400 --> 00:13:37,920 Speaker 2: keeping it just a little bit simple here for the 271 00:13:37,920 --> 00:13:41,200 Speaker 2: sake of conversation. So why these three things are interesting 272 00:13:41,240 --> 00:13:43,200 Speaker 2: is because we have the total amount of testosterone you have. 273 00:13:43,440 --> 00:13:45,480 Speaker 2: We have how much of it is free and available, 274 00:13:46,240 --> 00:13:48,559 Speaker 2: but that amount is going to be determined bisex hormone 275 00:13:48,600 --> 00:13:51,360 Speaker 2: binding globular because when that goes really really high, a 276 00:13:51,400 --> 00:13:54,800 Speaker 2: lot of the testosterone is bound to that, and now 277 00:13:54,840 --> 00:13:57,880 Speaker 2: it can't get into receptors, it can't activate tissue, it 278 00:13:57,920 --> 00:14:02,959 Speaker 2: can't do his thing job. Total testosterone went down, Your 279 00:14:03,000 --> 00:14:05,600 Speaker 2: feest for your free testosterone got cut in about half, 280 00:14:07,480 --> 00:14:11,400 Speaker 2: so your total amount is there, and the available amount 281 00:14:11,679 --> 00:14:14,880 Speaker 2: went down as well. And that's because your sex horn 282 00:14:14,920 --> 00:14:16,760 Speaker 2: amone binding globulin shot way up. 283 00:14:18,040 --> 00:14:20,600 Speaker 3: This is a fairly predictable response. 284 00:14:21,720 --> 00:14:24,240 Speaker 2: You were not convinced physiologically that you're going to be 285 00:14:24,240 --> 00:14:26,960 Speaker 2: doing that forever, and so it went. 286 00:14:27,320 --> 00:14:29,040 Speaker 3: We have to pay the piper because we're under a 287 00:14:29,080 --> 00:14:32,360 Speaker 3: calorie you're not eating enough calories. 288 00:14:33,040 --> 00:14:36,360 Speaker 2: You have to continue to perform though, and so this 289 00:14:36,600 --> 00:14:38,680 Speaker 2: is what we would call like an acute stress response. 290 00:14:39,560 --> 00:14:43,200 Speaker 2: Your physiology will always defer to keeping organs alive. 291 00:14:44,600 --> 00:14:47,400 Speaker 3: Over things like exercise performance. 292 00:14:48,040 --> 00:14:51,720 Speaker 2: If given the choice, keep your brain powered, keep your 293 00:14:51,840 --> 00:14:55,680 Speaker 2: kidneys filtering, and we'll deal with your stomach and your 294 00:14:55,760 --> 00:14:56,920 Speaker 2: muscles being heavy later. 295 00:14:57,360 --> 00:14:58,800 Speaker 3: Like who gives a crap. 296 00:15:01,120 --> 00:15:02,880 Speaker 2: Your hormones are one of the ways that you do 297 00:15:02,920 --> 00:15:06,840 Speaker 2: that regulation because it says, hey, look, we don't have 298 00:15:07,120 --> 00:15:10,480 Speaker 2: any need to grow muscle right now, we are under 299 00:15:10,480 --> 00:15:14,840 Speaker 2: calorie we're not getting enough blood glucose to the brain, 300 00:15:15,080 --> 00:15:19,000 Speaker 2: we're not getting enough to power immune system. We're having 301 00:15:19,040 --> 00:15:21,760 Speaker 2: this demand to make more red blood cells. So any 302 00:15:21,800 --> 00:15:27,240 Speaker 2: available energy diverted to that, and we will pay the 303 00:15:27,280 --> 00:15:30,400 Speaker 2: hormone consequences later. And so it starts pulling those things 304 00:15:30,440 --> 00:15:35,040 Speaker 2: down and so that was very interesting. But one of 305 00:15:35,080 --> 00:15:38,880 Speaker 2: the things that was actually also like equally interesting was 306 00:15:39,160 --> 00:15:42,840 Speaker 2: your testosterone continue to drop forty five days later. 307 00:15:42,920 --> 00:15:45,640 Speaker 1: And why is that now it's just trying to figure 308 00:15:45,800 --> 00:15:47,880 Speaker 1: to get its life back together and it takes a hit. 309 00:15:48,280 --> 00:15:52,640 Speaker 2: Yeah, it's exactly what you said. It's still a rebound. 310 00:15:52,640 --> 00:15:54,760 Speaker 2: And I think one of the lessons we can draw 311 00:15:54,840 --> 00:15:58,480 Speaker 2: here from this stuff is you do something as challenging 312 00:15:58,520 --> 00:16:03,400 Speaker 2: as you did just because you've slept better and you're 313 00:16:03,440 --> 00:16:05,440 Speaker 2: finally eating food again. 314 00:16:05,600 --> 00:16:07,080 Speaker 3: Antioxidants came back immediately. 315 00:16:07,360 --> 00:16:09,080 Speaker 1: Okay, because those are very acute. 316 00:16:09,440 --> 00:16:11,480 Speaker 3: You eat them right now, I pull your blood, they 317 00:16:11,480 --> 00:16:11,800 Speaker 3: go up. 318 00:16:12,040 --> 00:16:14,400 Speaker 1: Yeah, hormones aren't like that. 319 00:16:15,960 --> 00:16:17,200 Speaker 3: Red blood sales aren't like that. 320 00:16:17,480 --> 00:16:21,000 Speaker 1: Even forty five days, that's it's wild. Forty five days 321 00:16:21,000 --> 00:16:22,600 Speaker 1: because I feel like you think, oh, if I take 322 00:16:22,600 --> 00:16:24,960 Speaker 1: a week off, i'll be fine. Forty five days I 323 00:16:25,040 --> 00:16:26,240 Speaker 1: was not fine. 324 00:16:26,720 --> 00:16:29,400 Speaker 2: Well, you started to be right, so we started looking 325 00:16:29,440 --> 00:16:31,280 Speaker 2: your sex hormone binding lobbying them is back. 326 00:16:31,160 --> 00:16:32,600 Speaker 1: Down to baseline. Okay. 327 00:16:34,200 --> 00:16:37,240 Speaker 2: Your free testosterone went from we'll just getting called twelve 328 00:16:37,280 --> 00:16:41,880 Speaker 2: and a half to six post raise. By day forty 329 00:16:41,920 --> 00:16:44,400 Speaker 2: five it was back up to ten. Okay, so the 330 00:16:44,440 --> 00:16:47,480 Speaker 2: system is clearing there. But the last thing that's going 331 00:16:47,520 --> 00:16:50,320 Speaker 2: to do is give you more total testosterone, got it. 332 00:16:51,240 --> 00:16:54,560 Speaker 2: The last thing that's going to do is add more muscle. Right, 333 00:16:54,840 --> 00:16:57,200 Speaker 2: Some of these processes are much longer, and so this 334 00:16:57,240 --> 00:17:01,560 Speaker 2: is a month and a half. True overtraining takes months. 335 00:17:01,240 --> 00:17:02,160 Speaker 3: To recover from. 336 00:17:02,480 --> 00:17:05,800 Speaker 1: So when people go I did three workouts in a 337 00:17:05,840 --> 00:17:08,399 Speaker 1: week or three workouts in a row, I feel a 338 00:17:08,400 --> 00:17:11,200 Speaker 1: little down. Oh, I definitely overtrained. It's like, no, that's 339 00:17:11,680 --> 00:17:14,240 Speaker 1: very rare and in probably elite athletes. 340 00:17:14,800 --> 00:17:19,639 Speaker 2: You could do an ultramanthon and you wouldn't be overtrained. Okay, 341 00:17:19,760 --> 00:17:21,400 Speaker 2: you would be overreached. 342 00:17:21,440 --> 00:17:24,520 Speaker 1: Got it. One thing I thought was interesting, too, is 343 00:17:24,560 --> 00:17:29,879 Speaker 1: that a lot of my micro nutrients, like vitamins, minerals, 344 00:17:30,440 --> 00:17:33,320 Speaker 1: those had all crashed. And I went in thinking, Oh, 345 00:17:33,359 --> 00:17:36,800 Speaker 1: if I just eat a bunch of these fortified energy 346 00:17:36,840 --> 00:17:39,679 Speaker 1: bars like I ate these things called big one hundred 347 00:17:39,720 --> 00:17:42,159 Speaker 1: bars from met Rex, They're like five hundred calories and 348 00:17:42,200 --> 00:17:43,960 Speaker 1: you look at the vitamin and mineralists and it's like 349 00:17:43,960 --> 00:17:46,680 Speaker 1: one hundred, one hundred hundred, you know, of your daily value. 350 00:17:47,119 --> 00:17:49,280 Speaker 1: So I thought I was good there. Meanwhile, the guy 351 00:17:49,280 --> 00:17:52,159 Speaker 1: I was hiking with, he had this whole litany of 352 00:17:52,240 --> 00:17:54,600 Speaker 1: pills that he brought in like supplements, and I would 353 00:17:54,640 --> 00:17:56,880 Speaker 1: just laugh because he'd be sitting at camp like organizing him. 354 00:17:56,880 --> 00:17:58,440 Speaker 1: I'm just like, what are you doing over there? 355 00:17:58,440 --> 00:17:58,600 Speaker 3: Man? 356 00:17:58,640 --> 00:18:01,160 Speaker 1: We're on this crazy hiake and bah blah blah. Turns 357 00:18:01,160 --> 00:18:02,840 Speaker 1: out I was wrong. I should have been doing what 358 00:18:02,880 --> 00:18:04,439 Speaker 1: he did. So you were like, if you could do 359 00:18:04,480 --> 00:18:06,240 Speaker 1: it in this again in the future, you should have 360 00:18:06,280 --> 00:18:09,800 Speaker 1: been supplementing, because even having all that fortified food was 361 00:18:09,840 --> 00:18:10,560 Speaker 1: just not enough. 362 00:18:11,400 --> 00:18:14,640 Speaker 3: So that was the second to last important thing here is. 363 00:18:16,400 --> 00:18:20,560 Speaker 2: The way you you kept red blood cells up is 364 00:18:20,600 --> 00:18:22,280 Speaker 2: you start to robbing all vitamins. 365 00:18:21,960 --> 00:18:23,760 Speaker 3: And mineral in your system. 366 00:18:23,920 --> 00:18:29,480 Speaker 2: Yeah, so you know the theme we've been on here, 367 00:18:29,760 --> 00:18:32,040 Speaker 2: That's exactly what happened. And the way you continue to 368 00:18:32,119 --> 00:18:36,040 Speaker 2: keep the vital stuff alive is you start ripping. 369 00:18:35,760 --> 00:18:36,800 Speaker 3: Down wiens and mials. 370 00:18:36,960 --> 00:18:39,120 Speaker 2: So most of those markers for you just fell off 371 00:18:39,119 --> 00:18:42,479 Speaker 2: a cliff. If you would have oh, I'll say this way, 372 00:18:42,480 --> 00:18:44,520 Speaker 2: if you would have ate the exact dit you ate 373 00:18:44,520 --> 00:18:48,040 Speaker 2: for forty five days at home, not hiking, I bet 374 00:18:48,119 --> 00:18:50,080 Speaker 2: you would have held onto most of these things. Okay, 375 00:18:50,320 --> 00:18:53,080 Speaker 2: you also got to remember you're hiking all day long, 376 00:18:53,720 --> 00:18:56,359 Speaker 2: so it's the additional expenditure that you didn't calibrate for. 377 00:18:56,600 --> 00:18:58,600 Speaker 2: So the vitamins and minerals you got in those bars 378 00:18:58,640 --> 00:19:00,800 Speaker 2: were probably enough for steady state. 379 00:19:01,320 --> 00:19:03,280 Speaker 1: So one of the things that I thought was interesting 380 00:19:03,320 --> 00:19:06,280 Speaker 1: is when I first called you asking for fitness advice, 381 00:19:06,840 --> 00:19:11,760 Speaker 1: which you ignored and put me on a study. You said, 382 00:19:11,880 --> 00:19:14,919 Speaker 1: one of the reasons you wanted to do this study is 383 00:19:14,960 --> 00:19:18,280 Speaker 1: because you go when I work people I work with 384 00:19:18,400 --> 00:19:21,359 Speaker 1: day to day, I know what to expect. I know 385 00:19:21,480 --> 00:19:24,000 Speaker 1: exactly how to get them healthy. But with you, I 386 00:19:24,040 --> 00:19:27,159 Speaker 1: have no idea. So the question is what do you 387 00:19:27,200 --> 00:19:29,919 Speaker 1: see with most people who are active and what do 388 00:19:30,000 --> 00:19:31,520 Speaker 1: most people need. 389 00:19:32,480 --> 00:19:36,879 Speaker 2: I'll answer this in two parts because again, the lived 390 00:19:36,880 --> 00:19:39,520 Speaker 2: experience of it is real. Yeah, we have worked with 391 00:19:40,040 --> 00:19:42,760 Speaker 2: the highest performers in the world every sport. You can 392 00:19:42,800 --> 00:19:45,320 Speaker 2: imagine the cy young winners, the Hall of famers, the 393 00:19:45,320 --> 00:19:51,720 Speaker 2: biggest contracts, the most famous CEOs, musicians, actors, all that stuff, 394 00:19:52,000 --> 00:19:55,959 Speaker 2: And I can genuinely tell you the basic eighty percent 395 00:19:56,720 --> 00:19:58,760 Speaker 2: is where we get ninety five percent of our wins. 396 00:20:00,160 --> 00:20:04,000 Speaker 2: I mean, I can give you names, and I can 397 00:20:04,040 --> 00:20:07,320 Speaker 2: tell you, yes, these people that have done these things 398 00:20:07,320 --> 00:20:13,040 Speaker 2: in broken major sports records. It is stress management, diet, exercise, 399 00:20:13,160 --> 00:20:18,440 Speaker 2: light social relationships, connection like it's it is the playbook 400 00:20:20,280 --> 00:20:24,800 Speaker 2: that said it is also true sometimes that last ten 401 00:20:24,960 --> 00:20:28,359 Speaker 2: to fifteen percent. We have to go so far in 402 00:20:28,400 --> 00:20:32,040 Speaker 2: the other direction and we need extreme precision. 403 00:20:33,160 --> 00:20:37,879 Speaker 3: Look the idea of personalized or precision. 404 00:20:37,520 --> 00:20:41,520 Speaker 2: Stuff, it's we're closer to the reality of that than 405 00:20:41,560 --> 00:20:43,440 Speaker 2: what most people buy and say and sell. 406 00:20:43,480 --> 00:20:44,880 Speaker 3: Right when they do that, it's like. 407 00:20:45,640 --> 00:20:47,560 Speaker 2: Oh, I listened, I took a questionnaire and maybe like 408 00:20:47,560 --> 00:20:48,960 Speaker 2: a blood sample and then I'm like, give you a 409 00:20:48,960 --> 00:20:52,360 Speaker 2: precision work that's not that's not like really that precise. 410 00:20:54,119 --> 00:20:55,000 Speaker 2: But we can do that. 411 00:20:55,280 --> 00:20:56,800 Speaker 3: When we have people that have enough. 412 00:20:56,640 --> 00:21:01,679 Speaker 2: Means and enough interest, we can get some really fancy 413 00:21:01,680 --> 00:21:06,040 Speaker 2: stuff done and we can actually be prognostic on that. Yeah, 414 00:21:06,119 --> 00:21:10,360 Speaker 2: So we can predict performance weeks in advance with extremely 415 00:21:10,400 --> 00:21:11,600 Speaker 2: high granularity if we have. 416 00:21:11,600 --> 00:21:14,080 Speaker 3: Enough data and we can build those into enough models. 417 00:21:15,240 --> 00:21:17,199 Speaker 2: So if it sounds like I'm talking out on both 418 00:21:17,240 --> 00:21:20,040 Speaker 2: sides of my mouth, I am on purpose, right because 419 00:21:20,040 --> 00:21:22,399 Speaker 2: we have both of those people, we legitimately that is 420 00:21:22,400 --> 00:21:26,480 Speaker 2: a real thing, and we have again the best in 421 00:21:26,520 --> 00:21:29,240 Speaker 2: the world in a number of sports right now, and. 422 00:21:29,160 --> 00:21:31,280 Speaker 3: That that's what we do. That's legitimately what happens. 423 00:21:31,400 --> 00:21:34,680 Speaker 2: Yeah, and then we have those people's teammates and we're 424 00:21:34,720 --> 00:21:38,239 Speaker 2: still like, yo, take a picture of your lunch and 425 00:21:38,280 --> 00:21:42,720 Speaker 2: text it to me. Good, Like okay, like we have 426 00:21:42,800 --> 00:21:43,560 Speaker 2: vegetables today. 427 00:21:43,800 --> 00:21:46,359 Speaker 1: Yeah. On one hand, you might have a rock star 428 00:21:46,440 --> 00:21:48,840 Speaker 1: who's like, dude, you just need to chill out a bit, 429 00:21:49,040 --> 00:21:51,560 Speaker 1: you need to sleep more. Good And then on the 430 00:21:51,960 --> 00:21:54,800 Speaker 1: other hand, you have this super late athlete where you're 431 00:21:54,800 --> 00:21:58,600 Speaker 1: tweaking something hyper specific, so you can get five seconds 432 00:21:58,960 --> 00:22:01,520 Speaker 1: off of a time, and that's the difference between setting 433 00:22:01,520 --> 00:22:02,479 Speaker 1: a world record or not. 434 00:22:02,920 --> 00:22:03,800 Speaker 3: Yeah, one hundred percent. 435 00:22:03,840 --> 00:22:05,600 Speaker 2: And it's it's also, want to be clear, it's not 436 00:22:05,640 --> 00:22:09,160 Speaker 2: even necessarily like we call these people high performers, but. 437 00:22:09,119 --> 00:22:10,359 Speaker 3: It's not athletes only. 438 00:22:10,680 --> 00:22:13,920 Speaker 2: Yeah, we have this with people that are running companies, 439 00:22:14,000 --> 00:22:18,480 Speaker 2: that are government officials, that are whatever, and they're just going, 440 00:22:19,320 --> 00:22:23,359 Speaker 2: either I've been through the basics, and sometimes people haven't 441 00:22:23,400 --> 00:22:25,560 Speaker 2: really been through the basics. They say that, but it's 442 00:22:25,560 --> 00:22:28,000 Speaker 2: like you're cutting corners here and there there, But a 443 00:22:28,040 --> 00:22:29,560 Speaker 2: lot of times I have and that's just like I 444 00:22:29,600 --> 00:22:32,080 Speaker 2: need that next level of pranularity. And they're not less 445 00:22:32,080 --> 00:22:34,280 Speaker 2: than They're always looking for that last one percent, but 446 00:22:34,320 --> 00:22:36,320 Speaker 2: they are going, but I'm still dealing with these two 447 00:22:36,359 --> 00:22:40,760 Speaker 2: am waking events or I'm still dealing with this diarrhea 448 00:22:40,760 --> 00:22:42,439 Speaker 2: all the time out of nowhere, or like whatever the 449 00:22:42,480 --> 00:22:45,639 Speaker 2: case is. So what we generally try to do with 450 00:22:45,680 --> 00:22:49,320 Speaker 2: everybody is we like to start. I mean, you went 451 00:22:49,359 --> 00:22:51,320 Speaker 2: through like a taster of what we like to do. 452 00:22:51,960 --> 00:22:55,720 Speaker 2: But my philosophical approaches collect an enormous amount of data 453 00:22:55,720 --> 00:23:00,000 Speaker 2: at the beginning and then be very specific and precise 454 00:23:00,560 --> 00:23:05,080 Speaker 2: with what you're testing past that and your protocols. So 455 00:23:05,160 --> 00:23:08,000 Speaker 2: I don't like to have to give people it's like, Okay, 456 00:23:08,000 --> 00:23:10,520 Speaker 2: here's your yoga routine and your meditation and your nutrition, 457 00:23:10,640 --> 00:23:14,120 Speaker 2: and you're just like you overwhelm almost the best, even 458 00:23:14,160 --> 00:23:15,800 Speaker 2: all the best athletes, like they can't do. 459 00:23:15,760 --> 00:23:17,400 Speaker 1: All that stuff. Yeah, way too much. 460 00:23:17,840 --> 00:23:21,119 Speaker 2: But if we can find your biggest performance anchor and 461 00:23:21,200 --> 00:23:25,080 Speaker 2: then we can give you high precision, that's better and 462 00:23:25,119 --> 00:23:27,480 Speaker 2: it's worth the paying the ass on the front end 463 00:23:27,480 --> 00:23:29,439 Speaker 2: of all the data because now we can get much 464 00:23:29,520 --> 00:23:31,399 Speaker 2: I mean we're not perfect, right, like science is an 465 00:23:31,440 --> 00:23:32,360 Speaker 2: imperfect practice. 466 00:23:32,480 --> 00:23:34,000 Speaker 1: Yeah, but we. 467 00:23:33,960 --> 00:23:35,200 Speaker 3: Can get much closer. 468 00:23:35,240 --> 00:23:37,159 Speaker 2: It's much more likely to be the thing that's going 469 00:23:37,200 --> 00:23:38,600 Speaker 2: to cause the biggest. 470 00:23:38,320 --> 00:23:39,040 Speaker 3: Needle mover for you. 471 00:23:39,320 --> 00:23:41,720 Speaker 2: Yeah. So we have some people where I'm like, we'll 472 00:23:41,760 --> 00:23:43,960 Speaker 2: do tons and tons of stuff on them. When we 473 00:23:44,000 --> 00:23:46,719 Speaker 2: come back and we're like, okay, you need a new pillow, 474 00:23:47,480 --> 00:23:51,879 Speaker 2: a multi vitamin, and a therapist, it's like great, like 475 00:23:51,960 --> 00:23:55,040 Speaker 2: that's all we're doing or whatever the case is. You know, 476 00:23:55,040 --> 00:23:58,040 Speaker 2: it's like something very simple, but it has a huge 477 00:23:58,040 --> 00:24:02,680 Speaker 2: impact because it's it is really close to. 478 00:24:02,600 --> 00:24:03,960 Speaker 3: The thing that's going to move the needle the most. 479 00:24:04,119 --> 00:24:08,680 Speaker 2: Yeah, and lastly, it lets them breathe. 480 00:24:09,960 --> 00:24:12,320 Speaker 3: And they can go, Okay, I don't have to worry 481 00:24:12,320 --> 00:24:14,440 Speaker 3: about my red light therapy. I don't have to worry 482 00:24:14,440 --> 00:24:15,480 Speaker 3: about zone six. 483 00:24:15,640 --> 00:24:16,000 Speaker 2: I don't have to. 484 00:24:16,320 --> 00:24:18,200 Speaker 3: I'm like, those are all good, they're all real. 485 00:24:18,520 --> 00:24:21,359 Speaker 2: Yeah, but you just need these two things right now, 486 00:24:21,440 --> 00:24:23,960 Speaker 2: and then we'll add some stuff or change whatever. They're okay, 487 00:24:23,960 --> 00:24:27,359 Speaker 2: But the anxiety, the health anxiety here is so high 488 00:24:27,359 --> 00:24:30,440 Speaker 2: for people. Is one thing to do all the things 489 00:24:30,640 --> 00:24:34,040 Speaker 2: because they all are real, But the question is what. 490 00:24:34,080 --> 00:24:36,719 Speaker 1: Do you need to do. Yeah, we're going to take 491 00:24:36,760 --> 00:24:39,160 Speaker 1: another break, and then we are going to get Andy's 492 00:24:39,200 --> 00:24:42,600 Speaker 1: opinion on wearable technology and why they are good in 493 00:24:42,640 --> 00:24:51,040 Speaker 1: some cases but complete and utter trash in others. So 494 00:24:51,160 --> 00:24:54,080 Speaker 1: you you mentioned health anxiety, and you've written about this. 495 00:24:55,520 --> 00:24:58,200 Speaker 1: What are your thoughts on wearables for the average person? 496 00:24:58,240 --> 00:25:00,600 Speaker 1: Where are they helping? Whey are they not helping? What's 497 00:25:00,640 --> 00:25:01,200 Speaker 1: your take there? 498 00:25:01,600 --> 00:25:03,800 Speaker 2: You know what's crazy is we wrote that almost a 499 00:25:03,840 --> 00:25:07,159 Speaker 2: decade ago, and my position really hasn't changed categorically at 500 00:25:07,160 --> 00:25:08,560 Speaker 2: all on this. 501 00:25:10,520 --> 00:25:12,080 Speaker 3: They are wonderful for. 502 00:25:13,680 --> 00:25:21,240 Speaker 2: Accountability, accountabilities to yourself, right, we know this. There's excellent 503 00:25:21,320 --> 00:25:24,960 Speaker 2: data when people are being watched measured and monitored, they 504 00:25:25,000 --> 00:25:28,840 Speaker 2: make better choices. Hawthorne effect is a real thing, right, So, 505 00:25:28,880 --> 00:25:31,399 Speaker 2: whether you're watching your own self, or you know that 506 00:25:31,440 --> 00:25:34,719 Speaker 2: your coach is watching you, or your medical provider or whoever, 507 00:25:35,400 --> 00:25:39,200 Speaker 2: you're going to make better choices. On average, fine, They're 508 00:25:39,240 --> 00:25:44,040 Speaker 2: good for rough calibration. So the average person, it goes, 509 00:25:44,080 --> 00:25:46,440 Speaker 2: I think I'm pretty healthy, and they get their blood 510 00:25:46,440 --> 00:25:48,920 Speaker 2: pressure checked and they're one fifty over one thirty and 511 00:25:48,920 --> 00:25:54,080 Speaker 2: they're like, wait about ah, right, it's done that same 512 00:25:54,160 --> 00:25:58,119 Speaker 2: thing to wearable. You think you sleep pretty well, but 513 00:25:58,400 --> 00:26:01,400 Speaker 2: it doesn't. You think you're pretty fit and you're resting 514 00:26:01,400 --> 00:26:05,560 Speaker 2: heart rates seventy five right like you can. People are miscalibrated. 515 00:26:05,560 --> 00:26:09,439 Speaker 2: Where probably this lands the most is food. The average 516 00:26:09,440 --> 00:26:12,280 Speaker 2: person has no concept. 517 00:26:12,080 --> 00:26:14,719 Speaker 1: No idea. And I learned this the hard way. I 518 00:26:14,760 --> 00:26:16,879 Speaker 1: had I was working with a guy who had me 519 00:26:16,880 --> 00:26:19,080 Speaker 1: measure I'd never measured food, and at the time I'm 520 00:26:19,080 --> 00:26:20,520 Speaker 1: working at Men's Health, so I'm like, I got a 521 00:26:20,560 --> 00:26:23,880 Speaker 1: healthy diet, blah blah blah when I measured peanut butter 522 00:26:24,240 --> 00:26:26,760 Speaker 1: and the deal was, you know, I want you to 523 00:26:26,800 --> 00:26:29,880 Speaker 1: eat normally for the first week, but just measure everything, 524 00:26:30,000 --> 00:26:32,879 Speaker 1: So take your normal serving track it. I thought I 525 00:26:32,920 --> 00:26:35,520 Speaker 1: was eating one serving two hundred calories. It was like 526 00:26:35,680 --> 00:26:38,520 Speaker 1: three servings six hundred calories. So that's a four hundred 527 00:26:38,520 --> 00:26:41,000 Speaker 1: calorie difference, which is you have that up over time 528 00:26:41,040 --> 00:26:41,399 Speaker 1: and you're like. 529 00:26:41,440 --> 00:26:42,240 Speaker 3: That's your whole deficit. 530 00:26:42,359 --> 00:26:43,680 Speaker 1: Yeah, there you go. 531 00:26:44,400 --> 00:26:46,480 Speaker 3: Yeah, So I used to. 532 00:26:46,480 --> 00:26:49,560 Speaker 2: Do that experiment every semester in our graduate classes. 533 00:26:49,280 --> 00:26:50,800 Speaker 3: Right, even grad students in this field. 534 00:26:51,200 --> 00:26:55,040 Speaker 2: Yeah, people always overestimate their protein intake. 535 00:26:55,440 --> 00:26:55,880 Speaker 1: Mm hmm. 536 00:26:56,040 --> 00:26:57,200 Speaker 3: It's always way lower than they think. 537 00:26:57,280 --> 00:27:00,840 Speaker 2: And people way way underestimate how much fat they Yeah, 538 00:27:01,119 --> 00:27:06,480 Speaker 2: always right, So technologies like that, we'll call these wearables 539 00:27:06,560 --> 00:27:08,560 Speaker 2: or whatever. They're really good for things like that, like 540 00:27:08,600 --> 00:27:13,439 Speaker 2: getting you in the stratosphere, giving you accountable, giving you 541 00:27:13,480 --> 00:27:17,680 Speaker 2: an overall screen, a look at it. I'm in conflict 542 00:27:17,720 --> 00:27:20,760 Speaker 2: of interest. I'm biased a little bit in this field. 543 00:27:20,920 --> 00:27:21,080 Speaker 3: Right. 544 00:27:21,160 --> 00:27:25,359 Speaker 2: Our sleep company we have an FD approved wearable device. 545 00:27:25,400 --> 00:27:28,040 Speaker 2: We can run a full medical clinical sleep study on 546 00:27:28,440 --> 00:27:30,240 Speaker 2: people at home with a tiny wearing. 547 00:27:30,000 --> 00:27:32,399 Speaker 1: Which is important because people sleep differently when they're in 548 00:27:32,440 --> 00:27:33,200 Speaker 1: a sleep lab. 549 00:27:33,280 --> 00:27:35,160 Speaker 3: Correct, Yeah, and a thousand other reasons. 550 00:27:35,160 --> 00:27:38,280 Speaker 2: You got wires everywhere, and one night it's like a disaster. 551 00:27:39,280 --> 00:27:43,720 Speaker 2: So I'm applications like that are great, but that is 552 00:27:43,800 --> 00:27:49,440 Speaker 2: gold standard technology. The vast majority lack accuracy, They lack precision. 553 00:27:50,040 --> 00:27:55,680 Speaker 2: They're calibrated against. In the case of sleep, sleep wearables 554 00:27:55,680 --> 00:27:59,320 Speaker 2: are calibrated against something called poly sonography, which is that 555 00:27:59,400 --> 00:28:03,919 Speaker 2: lab stuff. What people don't realize is polysymnography is still 556 00:28:04,840 --> 00:28:07,359 Speaker 2: a subjective test. 557 00:28:07,520 --> 00:28:08,560 Speaker 3: It's not actually objective. 558 00:28:08,560 --> 00:28:10,840 Speaker 2: What ends up happening is a technician gets a print 559 00:28:10,840 --> 00:28:14,159 Speaker 2: out and they objectively decide your sleep stages and all that, 560 00:28:15,560 --> 00:28:18,400 Speaker 2: and there's only like an eighty percent agreements between sleep 561 00:28:18,440 --> 00:28:19,440 Speaker 2: technicians on those courses. 562 00:28:19,640 --> 00:28:19,720 Speaker 1: WO. 563 00:28:20,920 --> 00:28:23,600 Speaker 2: So then if you're using a device that is eighty 564 00:28:23,600 --> 00:28:27,359 Speaker 2: percent good about predicting eighty percent agreement, you're actually like 565 00:28:27,400 --> 00:28:28,240 Speaker 2: sixty some percent. 566 00:28:29,920 --> 00:28:31,920 Speaker 3: So again not horrible. 567 00:28:31,960 --> 00:28:34,000 Speaker 2: But if you're freaking out trying to take your deep 568 00:28:34,000 --> 00:28:36,919 Speaker 2: sleep from a minute and twenty to a minute and 569 00:28:36,960 --> 00:28:38,160 Speaker 2: forty on. 570 00:28:38,160 --> 00:28:40,680 Speaker 3: A device that we know is calibrated. 571 00:28:40,200 --> 00:28:43,520 Speaker 2: Against the average, which is probably not the person. 572 00:28:43,240 --> 00:28:47,920 Speaker 3: You want to be, it's sixty percent agreement. It lacks precision. 573 00:28:47,920 --> 00:28:51,280 Speaker 3: It's like you start feeling the blanks here and you're like, now. 574 00:28:51,120 --> 00:28:54,920 Speaker 2: We're going to take a high powered pharmaceutical that interacts 575 00:28:54,920 --> 00:28:58,520 Speaker 2: with your brain based on that like this is when 576 00:28:58,600 --> 00:29:00,640 Speaker 2: we'll start to say, like, pause, you're not going to 577 00:29:00,640 --> 00:29:05,040 Speaker 2: work out today because no offense. But like a three 578 00:29:05,160 --> 00:29:08,280 Speaker 2: hundred dollars consumer wearable that's in a one hundred million 579 00:29:08,320 --> 00:29:11,680 Speaker 2: people like, they're not optimized for performance, they're optimized for 580 00:29:11,720 --> 00:29:14,000 Speaker 2: battery life, they're optimized for aesthetics and what they look 581 00:29:14,080 --> 00:29:14,640 Speaker 2: like on your wrist. 582 00:29:14,680 --> 00:29:20,200 Speaker 3: They're optimized for great. So it's not anything negative. 583 00:29:19,840 --> 00:29:22,240 Speaker 2: But is it is really truly understanding what these things 584 00:29:22,240 --> 00:29:25,080 Speaker 2: are built for how they can be used. 585 00:29:25,680 --> 00:29:27,240 Speaker 3: So we will use all those wearables. 586 00:29:27,480 --> 00:29:31,480 Speaker 2: Ye, we don't make really important decisions with them. Yeah, 587 00:29:33,120 --> 00:29:35,880 Speaker 2: but we'll use it as Hey, we ran this gold 588 00:29:35,920 --> 00:29:41,160 Speaker 2: standard test and now we can actually maybe this is 589 00:29:41,200 --> 00:29:44,120 Speaker 2: a little bit easier way for us to track progress. 590 00:29:44,160 --> 00:29:48,600 Speaker 2: We do the same thing for example with muscle. Right, 591 00:29:48,640 --> 00:29:52,080 Speaker 2: so we might just have you take pictures every day 592 00:29:52,560 --> 00:29:55,760 Speaker 2: or use a skinfold test, right, just measure how big 593 00:29:55,800 --> 00:29:58,720 Speaker 2: your arms are your wayside, okay, fine, As a day 594 00:29:58,720 --> 00:30:01,000 Speaker 2: to day at home thing, we're gonna get a rough 595 00:30:01,040 --> 00:30:01,920 Speaker 2: idea of progress. 596 00:30:02,560 --> 00:30:04,800 Speaker 3: Right, We're gonna be able to visually see stuff. But 597 00:30:04,840 --> 00:30:05,640 Speaker 3: then maybe once or. 598 00:30:05,600 --> 00:30:09,640 Speaker 2: Twice a year we'll run a full body mry and 599 00:30:09,680 --> 00:30:11,680 Speaker 2: we can create a three D digital twin of one 600 00:30:11,720 --> 00:30:15,600 Speaker 2: hundred and forty plus muscles on your body. I can't 601 00:30:15,640 --> 00:30:18,080 Speaker 2: do that every day or every week. Sure, right, So 602 00:30:18,120 --> 00:30:21,720 Speaker 2: the wearable side of the equation, let's just calibrate against 603 00:30:21,720 --> 00:30:25,600 Speaker 2: the gold standard, and now we know, hey, you know, 604 00:30:25,840 --> 00:30:26,560 Speaker 2: is this never going up? 605 00:30:26,680 --> 00:30:27,560 Speaker 3: Is this never going down? 606 00:30:27,640 --> 00:30:30,720 Speaker 2: It's probably likely to be true because we calibrated against 607 00:30:30,800 --> 00:30:35,640 Speaker 2: some gold standard. So zooming out to the average person 608 00:30:35,640 --> 00:30:37,480 Speaker 2: listening to that, I would say, keep them in mind, 609 00:30:37,600 --> 00:30:44,480 Speaker 2: utilize them rough standards, ballpark ideas. But once you get 610 00:30:44,520 --> 00:30:49,080 Speaker 2: past that and we become compulsive or overly precise, we 611 00:30:49,440 --> 00:30:53,320 Speaker 2: can't trade an imprecise object as a precision tool. That 612 00:30:53,440 --> 00:30:55,920 Speaker 2: that's where the problem comes in. So outside of that, 613 00:30:57,400 --> 00:30:59,360 Speaker 2: because I know I'm off my quite negative on them, 614 00:31:00,040 --> 00:31:03,320 Speaker 2: I will acknowledge that in general, democratization of health is 615 00:31:03,400 --> 00:31:04,120 Speaker 2: fucking awesome. 616 00:31:04,240 --> 00:31:06,600 Speaker 1: Yeah, totally, it's a. 617 00:31:06,520 --> 00:31:09,040 Speaker 2: Really cool thing, and I'm like, really, really really happy 618 00:31:09,080 --> 00:31:11,800 Speaker 2: this stuff exists and people can have more control over 619 00:31:11,840 --> 00:31:13,720 Speaker 2: their health and they're only going to get better. 620 00:31:13,960 --> 00:31:19,520 Speaker 1: Yeah. My sense on wearables is that, especially for people 621 00:31:19,600 --> 00:31:24,000 Speaker 1: who are currently sedentary, have no clue what's going on 622 00:31:24,240 --> 00:31:29,040 Speaker 1: in the least having that number in the morning that 623 00:31:29,240 --> 00:31:31,400 Speaker 1: step count. Looking at you at the end of the day, 624 00:31:31,680 --> 00:31:33,760 Speaker 1: you go, I mean some people really have no idea 625 00:31:33,800 --> 00:31:35,640 Speaker 1: how many steps they take a day, and when they go, oh, 626 00:31:35,640 --> 00:31:38,880 Speaker 1: my god, three thousand, maybe I should take a walk 627 00:31:38,920 --> 00:31:41,640 Speaker 1: every now and then, like that's a good boost. I 628 00:31:41,680 --> 00:31:45,000 Speaker 1: think where issues start to happen big picture is when 629 00:31:45,000 --> 00:31:47,360 Speaker 1: you have people who sort of have a clue what 630 00:31:47,360 --> 00:31:50,080 Speaker 1: they're doing. They're already doing a lot of healthy stuff 631 00:31:50,680 --> 00:31:53,040 Speaker 1: and they see a slight number shift and then they 632 00:31:53,080 --> 00:31:56,200 Speaker 1: get worried about it and they don't work out or 633 00:31:56,240 --> 00:31:59,280 Speaker 1: they deviate from the plan because it says, oh, today 634 00:31:59,320 --> 00:32:02,640 Speaker 1: you're really ready for workout or xyz. And then people 635 00:32:02,640 --> 00:32:06,360 Speaker 1: start to get erotic about it and obey by the 636 00:32:06,440 --> 00:32:09,320 Speaker 1: number rather than sort of taking a big picture look 637 00:32:09,600 --> 00:32:12,520 Speaker 1: at all these other things going on. No exactly, we'll 638 00:32:12,560 --> 00:32:14,239 Speaker 1: take a break, and then we're going to hear from 639 00:32:14,280 --> 00:32:17,440 Speaker 1: Andy about what you can use from his protocols with 640 00:32:17,480 --> 00:32:21,200 Speaker 1: elite athletes and how it can improve your performance, your sleep, 641 00:32:21,600 --> 00:32:27,960 Speaker 1: and so much more. What have you found are the 642 00:32:27,960 --> 00:32:32,200 Speaker 1: main differences between what a pro athlete means versus the 643 00:32:32,280 --> 00:32:34,920 Speaker 1: average person? Are there big differences? 644 00:32:35,480 --> 00:32:39,400 Speaker 2: It's not nearly as much as you think. Honestly, it is. 645 00:32:40,280 --> 00:32:44,520 Speaker 2: It's only at the fringe, right, it's the Okay, great, 646 00:32:44,560 --> 00:32:48,680 Speaker 2: when we're trying to get like, we've got a pretty 647 00:32:48,680 --> 00:32:50,120 Speaker 2: good roster of pictures. 648 00:32:49,800 --> 00:32:52,600 Speaker 3: In the Major League Baseball right now, So great. 649 00:32:52,480 --> 00:32:55,920 Speaker 2: We have to do some specific motion capture with those 650 00:32:55,920 --> 00:33:00,080 Speaker 2: guys where we're analyzing their pitching mechanic. 651 00:33:00,000 --> 00:33:02,040 Speaker 1: To do that with a normal person, right, yeah, totally. 652 00:33:02,760 --> 00:33:03,480 Speaker 3: But if you look at. 653 00:33:03,480 --> 00:33:06,080 Speaker 2: Ninety eight percent of the other stuff we're doing, again, 654 00:33:06,160 --> 00:33:14,200 Speaker 2: we're looking at high fidelity sleep, nutrition, mental health focus, vision, agility, 655 00:33:14,520 --> 00:33:18,800 Speaker 2: injury resilience, tissue quality. This is this in fact, like 656 00:33:18,840 --> 00:33:21,600 Speaker 2: I do this quite often, but if I to lay 657 00:33:21,640 --> 00:33:26,360 Speaker 2: out the twenty or twenty five or thirty most relevant 658 00:33:26,440 --> 00:33:30,760 Speaker 2: health factors for longevity, you wouldn't know if. 659 00:33:30,640 --> 00:33:32,040 Speaker 3: I was talking about one of my athletes or one 660 00:33:32,040 --> 00:33:32,760 Speaker 3: of my executives. 661 00:33:33,000 --> 00:33:36,200 Speaker 2: Interesting, the only difference would be, like, Okay, this dude 662 00:33:36,240 --> 00:33:37,520 Speaker 2: needs to be able to sack a quarterback. 663 00:33:38,160 --> 00:33:40,840 Speaker 3: Yeah, Like, and this guy needs to be able to 664 00:33:41,840 --> 00:33:43,640 Speaker 3: hop on a different plane every three days. 665 00:33:43,680 --> 00:33:46,640 Speaker 2: But our athletes do that too, right, Yeah, Baseball players 666 00:33:46,680 --> 00:33:52,360 Speaker 2: are on the road, So it's really super similar. Cognition, memory, 667 00:33:53,200 --> 00:33:57,160 Speaker 2: word recall, like they're really. In some sports you get 668 00:33:57,160 --> 00:33:59,720 Speaker 2: away with it, but you can't be good and the 669 00:33:59,760 --> 00:34:03,480 Speaker 2: nof if you're not extremely sharp cognitively, if they can't, 670 00:34:03,640 --> 00:34:07,200 Speaker 2: their pattern recognition is so sharp and their anticipation and 671 00:34:07,240 --> 00:34:09,399 Speaker 2: we tuestle these things like ocular metrics on people their 672 00:34:09,440 --> 00:34:11,640 Speaker 2: vision and eyes and antspiratory response. 673 00:34:11,680 --> 00:34:13,080 Speaker 3: They're off the charts in the NFL. 674 00:34:13,360 --> 00:34:18,799 Speaker 2: Interesting You contrast that to baseball from a hitter's perspective. 675 00:34:18,880 --> 00:34:24,000 Speaker 2: If your vision isn't elite, you are you aren't majorgue baseball. 676 00:34:24,080 --> 00:34:25,799 Speaker 1: Yeah, but I don't. 677 00:34:25,800 --> 00:34:27,600 Speaker 3: Actually, I don't have to be heavy view to max 678 00:34:28,200 --> 00:34:28,920 Speaker 3: like higher than like. 679 00:34:28,880 --> 00:34:31,839 Speaker 2: Twenty, Like I just don't need it to be high 680 00:34:31,920 --> 00:34:36,080 Speaker 2: to be candid. Body fat is much higher in baseball players, 681 00:34:36,200 --> 00:34:39,480 Speaker 2: especially in pitchers, So you start to get some like. 682 00:34:39,600 --> 00:34:41,680 Speaker 3: Little specificity things in there. 683 00:34:42,239 --> 00:34:45,000 Speaker 2: But on aggregate, if I puloped you down one of 684 00:34:45,000 --> 00:34:48,680 Speaker 2: our comprehensive programs, you wouldn't tell me if this is 685 00:34:48,719 --> 00:34:50,920 Speaker 2: for a thirty five year old woman who's dealing with 686 00:34:51,040 --> 00:34:55,560 Speaker 2: PCOS and that or one of our seventy two year 687 00:34:55,600 --> 00:34:57,440 Speaker 2: old guys trying to run another triathlon. 688 00:34:57,960 --> 00:35:00,680 Speaker 3: We're filling the blank anywhere between. 689 00:35:00,400 --> 00:35:06,279 Speaker 2: Somebody who's operating six companies across four continents, Like you 690 00:35:06,320 --> 00:35:09,880 Speaker 2: really wouldn't see that much of a difference outside of 691 00:35:09,880 --> 00:35:11,440 Speaker 2: looking at like, Okay, this guy's going to train two 692 00:35:11,480 --> 00:35:12,280 Speaker 2: or three times a day. 693 00:35:12,400 --> 00:35:13,440 Speaker 3: It's bringing that trenama. 694 00:35:14,440 --> 00:35:17,160 Speaker 2: But we're we're trying to go for the stuff like 695 00:35:17,160 --> 00:35:21,640 Speaker 2: can we be in nature, can we have some sensory downtime, 696 00:35:21,760 --> 00:35:23,080 Speaker 2: can we drink clean water? 697 00:35:23,160 --> 00:35:25,000 Speaker 3: Can we get out of any pollutants? 698 00:35:25,800 --> 00:35:31,240 Speaker 2: Sleep engagement purpose? Like it's honestly all really quite. 699 00:35:31,040 --> 00:35:33,279 Speaker 1: Saying what have you learned with absolute rets? Like what's 700 00:35:33,280 --> 00:35:35,680 Speaker 1: the thing that moves the dial most for people with sleep? 701 00:35:37,560 --> 00:35:40,800 Speaker 3: So I can answer this because it's all over the place. 702 00:35:41,120 --> 00:35:44,000 Speaker 2: We have done thousands and thousands of different any conventions 703 00:35:44,000 --> 00:35:48,879 Speaker 2: to people there like thousands. Yeah, categorically number one, if 704 00:35:48,880 --> 00:35:53,960 Speaker 2: you have a true clinical sick disorder, eighty or so 705 00:35:54,120 --> 00:35:57,800 Speaker 2: percent of sleep apneing it goes on diagnosed. 706 00:35:58,960 --> 00:36:00,720 Speaker 3: In women it's nine even eighty five percent. 707 00:36:00,840 --> 00:36:03,279 Speaker 1: Who that's interesting. 708 00:36:04,320 --> 00:36:07,960 Speaker 2: Yeah, that's actually a really good reason why why Like 709 00:36:08,040 --> 00:36:09,840 Speaker 2: we'll think about it. When you think about sleep apnan 710 00:36:10,719 --> 00:36:12,440 Speaker 2: what are the visuals that pop in your head? 711 00:36:12,840 --> 00:36:19,200 Speaker 1: Uh, fifty five year old balding, overweight guy maybe smokes. 712 00:36:19,640 --> 00:36:21,000 Speaker 3: You don't think of a twenty seven year old one 713 00:36:21,040 --> 00:36:22,000 Speaker 3: hundred and thirty pound girl. 714 00:36:22,120 --> 00:36:26,120 Speaker 1: No, but they have it just as much. Yeah. Interesting. 715 00:36:26,719 --> 00:36:29,120 Speaker 3: So women tend. 716 00:36:28,840 --> 00:36:35,160 Speaker 2: To associate sleep problems with hormones, with energy, with mental health, 717 00:36:36,040 --> 00:36:39,680 Speaker 2: with anxiety, with fill in the blank. They don't even 718 00:36:39,800 --> 00:36:42,960 Speaker 2: remotely think it's possible they have sleep apen. Yeah, so 719 00:36:42,960 --> 00:36:45,839 Speaker 2: they never get checked. Men don't either, they're just as bad. 720 00:36:45,840 --> 00:36:48,959 Speaker 2: But if you're like, if you're a you know, thirty 721 00:36:49,000 --> 00:36:50,839 Speaker 2: six year old woman who's one hundred and sixty five 722 00:36:50,840 --> 00:36:54,240 Speaker 2: pounds and you're snoring, no one goes, oh, you fat slop, 723 00:36:54,360 --> 00:36:56,520 Speaker 2: like where you say that for about a two do 724 00:36:56,520 --> 00:36:57,799 Speaker 2: you totally say that about it? You're like a turn 725 00:36:57,840 --> 00:36:59,520 Speaker 2: of sixty five pounds, Like you're fat, that's why you 726 00:36:59,560 --> 00:37:02,560 Speaker 2: have appen. Yeah, So they just don't think about it 727 00:37:02,560 --> 00:37:04,600 Speaker 2: at all, So they never get tested. They just go, oh, 728 00:37:04,640 --> 00:37:08,120 Speaker 2: it's my period, it's my you know, fill in whatever things. 729 00:37:08,120 --> 00:37:11,560 Speaker 2: And it's not untrue, but it's also very potentially true 730 00:37:11,560 --> 00:37:13,360 Speaker 2: that you have clinical sleep apman. 731 00:37:14,000 --> 00:37:14,840 Speaker 3: That's just app. 732 00:37:15,600 --> 00:37:20,040 Speaker 2: There's all kinds of all their clinical sleep disorders. They're 733 00:37:20,080 --> 00:37:22,360 Speaker 2: common and again and most most people they just go 734 00:37:22,480 --> 00:37:26,160 Speaker 2: undiagnosed for a variety of reasons. So my first answer 735 00:37:26,239 --> 00:37:29,520 Speaker 2: to that is if you have something clinical, get that addressed, 736 00:37:29,920 --> 00:37:34,480 Speaker 2: and just you'll be stunned at the downfall of that 737 00:37:35,640 --> 00:37:40,240 Speaker 2: past that I'll skip over what i'll call sleep hygiene. 738 00:37:41,360 --> 00:37:44,840 Speaker 2: It's all true, but you've all heard this right, cold dark, 739 00:37:44,920 --> 00:37:47,560 Speaker 2: don't have your phone in the room, don't drink caffeine 740 00:37:47,600 --> 00:37:51,680 Speaker 2: after you know now, blah blah blah. 741 00:37:51,800 --> 00:37:53,080 Speaker 3: Those things are all real like. 742 00:37:52,960 --> 00:37:55,359 Speaker 1: They will move the needle big time. 743 00:37:56,520 --> 00:37:57,839 Speaker 2: But I'll go to things that are like a little 744 00:37:57,880 --> 00:38:02,200 Speaker 2: more interesting. People don't tend to think about as much. Well, 745 00:38:02,200 --> 00:38:08,120 Speaker 2: we will consistently see people not appreciating circadian timing. So 746 00:38:08,280 --> 00:38:14,080 Speaker 2: this is everything from their own chron their own system, right, 747 00:38:14,120 --> 00:38:16,719 Speaker 2: so their chronotype is what we'll call that. Some people 748 00:38:16,760 --> 00:38:19,480 Speaker 2: are just really insensitive. They don't really realize the key. 749 00:38:21,120 --> 00:38:23,879 Speaker 2: You're actually a morning person and I know your wife 750 00:38:23,960 --> 00:38:27,080 Speaker 2: is up at night, but you shouldn't do that anymore. 751 00:38:26,840 --> 00:38:27,680 Speaker 3: You're off time. 752 00:38:29,560 --> 00:38:31,480 Speaker 2: They don't pay attention to the fact that they're waking 753 00:38:31,560 --> 00:38:36,120 Speaker 2: up at different times on different days. So even one 754 00:38:36,120 --> 00:38:39,040 Speaker 2: of thing that's pretty consistent finding is even if the 755 00:38:39,040 --> 00:38:41,560 Speaker 2: total amount of time is the same, but if you're 756 00:38:41,600 --> 00:38:45,680 Speaker 2: sleeping in different windows. This will give you more likely 757 00:38:45,760 --> 00:38:51,640 Speaker 2: more perceived fatigue, interesting and gruppiness and and other issues 758 00:38:52,200 --> 00:38:54,040 Speaker 2: than the opposite. 759 00:38:55,239 --> 00:39:00,480 Speaker 3: So there's things like that. There are things in their 760 00:39:00,560 --> 00:39:02,879 Speaker 3: environment physical environment like air. 761 00:39:02,880 --> 00:39:06,759 Speaker 2: Quality and dander and pollen that people are and stale, 762 00:39:06,800 --> 00:39:09,279 Speaker 2: two concentrations that people aren't you know, paying attention to 763 00:39:09,400 --> 00:39:11,879 Speaker 2: that much the world. 764 00:39:12,600 --> 00:39:13,760 Speaker 3: Are you familiar with the skyglow? 765 00:39:14,360 --> 00:39:15,200 Speaker 1: Oh? Is this light? 766 00:39:16,239 --> 00:39:20,200 Speaker 2: The world is physically brighter than it's ever been because 767 00:39:20,560 --> 00:39:22,680 Speaker 2: what actually is happening is all the light that we're 768 00:39:22,719 --> 00:39:27,040 Speaker 2: having on hits the clouds and comes back to Earth 769 00:39:27,600 --> 00:39:28,839 Speaker 2: and continues to keep our. 770 00:39:30,320 --> 00:39:31,960 Speaker 3: Our world physically brighter. 771 00:39:32,120 --> 00:39:34,880 Speaker 2: Than it's ever been. It's louder than it's ever been. 772 00:39:36,320 --> 00:39:39,920 Speaker 2: If you look at reports and numbers of people, the 773 00:39:39,960 --> 00:39:45,600 Speaker 2: sleep quality in cities, it's not good. So we have 774 00:39:45,719 --> 00:39:49,279 Speaker 2: this combination of everything working against us. The way that 775 00:39:49,320 --> 00:39:51,200 Speaker 2: we will say it to be as aggressive as possible 776 00:39:51,280 --> 00:39:54,200 Speaker 2: is the sleep environment has never been under bigger attack. 777 00:39:56,840 --> 00:39:58,480 Speaker 2: You know, when we were kids, we didn't have to 778 00:39:58,520 --> 00:40:01,360 Speaker 2: work that hard a sleep. But we live in a 779 00:40:01,360 --> 00:40:04,080 Speaker 2: different world. Yeah, we we just have to come to 780 00:40:04,120 --> 00:40:06,360 Speaker 2: that reality is like and it's like I'd like to 781 00:40:06,360 --> 00:40:07,840 Speaker 2: be the nature guy too and be like, well, this 782 00:40:08,000 --> 00:40:09,000 Speaker 2: is like revert back to it. 783 00:40:10,239 --> 00:40:12,000 Speaker 3: But you don't live in that environment anymore. 784 00:40:11,800 --> 00:40:14,120 Speaker 1: Right, You got to do some things that you wouldn't 785 00:40:14,160 --> 00:40:16,400 Speaker 1: have now that you're in this machine. 786 00:40:16,840 --> 00:40:17,160 Speaker 3: Mm hm. 787 00:40:17,640 --> 00:40:20,279 Speaker 2: So those are all really common ones, and there's there's 788 00:40:20,320 --> 00:40:23,919 Speaker 2: there's so many solutions out there, which like the common 789 00:40:23,920 --> 00:40:25,520 Speaker 2: ones I like to use are if you go. 790 00:40:25,480 --> 00:40:27,720 Speaker 3: Back to apnea. This is because it's so prevalent. 791 00:40:29,000 --> 00:40:31,040 Speaker 2: When people think appne, and they also think, okay, great, 792 00:40:31,080 --> 00:40:33,799 Speaker 2: I either have to go on a medication or I 793 00:40:33,840 --> 00:40:35,719 Speaker 2: have to get a cpath machine, right, which is that 794 00:40:35,800 --> 00:40:40,879 Speaker 2: big Darth Vader mass right, you know, Yeah, And everyone goes, 795 00:40:40,920 --> 00:40:43,239 Speaker 2: I'm not gonna go get tested because all they're going 796 00:40:43,280 --> 00:40:44,399 Speaker 2: to do is put me on drugs and I don't 797 00:40:44,400 --> 00:40:44,839 Speaker 2: want to do that. 798 00:40:45,560 --> 00:40:46,839 Speaker 3: Or they're gonna get me a big of machine. I'm 799 00:40:46,840 --> 00:40:47,320 Speaker 3: not gonna use it. 800 00:40:47,360 --> 00:40:50,600 Speaker 2: My wife hates it or my husband hates it. There's 801 00:40:50,600 --> 00:40:54,759 Speaker 2: a ton of research on EMST devices. So in fact, 802 00:40:54,800 --> 00:40:56,719 Speaker 2: this actually came from one of the one of my 803 00:40:56,719 --> 00:40:59,239 Speaker 2: favorite studies here was the paper on. 804 00:40:59,280 --> 00:41:00,120 Speaker 3: Ddre du player. 805 00:41:00,640 --> 00:41:05,280 Speaker 2: Okay, you're familiar with the digido. 806 00:41:03,920 --> 00:41:07,680 Speaker 1: Australian like, yeah, yeah, yeah. 807 00:41:06,640 --> 00:41:08,560 Speaker 2: So what they started looking at is people who played 808 00:41:08,640 --> 00:41:09,839 Speaker 2: and I think it was like a six or eight 809 00:41:09,840 --> 00:41:15,120 Speaker 2: week intervention and they did digitidoo nothing and surprise, surprise, surprise, 810 00:41:16,160 --> 00:41:20,120 Speaker 2: sleep app mean dramatically reduced after a couple of months. 811 00:41:19,880 --> 00:41:20,600 Speaker 3: Of playing the did you do? 812 00:41:21,120 --> 00:41:21,719 Speaker 1: And why is that? 813 00:41:22,880 --> 00:41:26,160 Speaker 3: It's They're called EMST devices. Okay, you can buy them 814 00:41:26,200 --> 00:41:28,680 Speaker 3: on Amazon for twenty to sixty dollars. 815 00:41:30,000 --> 00:41:33,359 Speaker 2: These are expiratory muscle strength training devices. 816 00:41:33,680 --> 00:41:34,279 Speaker 3: Well, you have to. 817 00:41:34,200 --> 00:41:37,759 Speaker 2: Brace your core and you have to expire air at 818 00:41:37,840 --> 00:41:40,680 Speaker 2: high velocity, at high force under control for a long 819 00:41:40,719 --> 00:41:45,120 Speaker 2: period of time. Yeah, your strength training, your diphram and 820 00:41:45,120 --> 00:41:46,120 Speaker 2: your intercostals. 821 00:41:46,880 --> 00:41:49,040 Speaker 1: That's awesome, and they're super weak. 822 00:41:49,960 --> 00:41:51,960 Speaker 3: They're super weak in most people, right because they're just 823 00:41:52,000 --> 00:41:57,759 Speaker 3: like you don't exercise, right. People don't realize that expiration 824 00:41:57,960 --> 00:41:59,000 Speaker 3: is passive at rest. 825 00:41:59,320 --> 00:42:00,799 Speaker 2: Like right now, when you and I are doing this, 826 00:42:02,400 --> 00:42:05,320 Speaker 2: you will use your intercostals, the muscle between your ribs 827 00:42:05,360 --> 00:42:07,800 Speaker 2: and your diaphragm. You'll contract them to open up your 828 00:42:07,880 --> 00:42:13,920 Speaker 2: thoracic capacity, your thoracic cave there right, That changes the 829 00:42:13,920 --> 00:42:15,640 Speaker 2: pressure between the end and the outside worlds and the 830 00:42:15,680 --> 00:42:17,920 Speaker 2: air flows in. Then all you have to do is 831 00:42:18,120 --> 00:42:21,480 Speaker 2: stop contracting, and because those muscles have been stretched, they 832 00:42:21,480 --> 00:42:25,440 Speaker 2: go back to the resting state. So expiration at rest 833 00:42:25,640 --> 00:42:29,160 Speaker 2: is passive. You stretch a rubber band, it goes back. 834 00:42:29,200 --> 00:42:32,120 Speaker 2: You stretch a rubber band, it goes back. But at 835 00:42:32,200 --> 00:42:36,960 Speaker 2: high levels of physical exertion, expiration becomes active because you 836 00:42:37,000 --> 00:42:40,839 Speaker 2: can't expire the air fast enough passively, so you let 837 00:42:40,840 --> 00:42:43,160 Speaker 2: the rubber rubber brains snap, but then you also squeeze 838 00:42:43,160 --> 00:42:46,120 Speaker 2: those muscles down. So if you don't exercise, or you 839 00:42:46,160 --> 00:42:49,359 Speaker 2: don't exercise at a high ventilatory rate, this means you're 840 00:42:49,360 --> 00:42:53,640 Speaker 2: breathing heavy and hard, then those muscles become weak, and 841 00:42:53,680 --> 00:42:56,359 Speaker 2: so the did redo strengthen those muscles when you if 842 00:42:56,400 --> 00:43:00,800 Speaker 2: you can't breathe, then you're going to have a depending 843 00:43:00,800 --> 00:43:02,080 Speaker 2: on what kind of appene you have, but in certain 844 00:43:02,080 --> 00:43:05,960 Speaker 2: types of APNA, this becomes problematic at night when you 845 00:43:06,000 --> 00:43:10,759 Speaker 2: even have mild sleepway restrictions. So there's tons of them. 846 00:43:10,760 --> 00:43:12,719 Speaker 2: But that's just one example of something going. Hey, by 847 00:43:12,760 --> 00:43:16,480 Speaker 2: the way, you could probably do this with an EMST device. Yeah, 848 00:43:17,000 --> 00:43:19,600 Speaker 2: you can probably just do this by exercising more. You 849 00:43:19,640 --> 00:43:23,400 Speaker 2: can probably do this by just nasal breathing. Like, there's 850 00:43:23,440 --> 00:43:27,560 Speaker 2: plenty of ways to actually get there that aren't seapath devices, 851 00:43:27,600 --> 00:43:29,399 Speaker 2: and I'm finding the seapaths them all in on them 852 00:43:29,400 --> 00:43:30,400 Speaker 2: they save tons of lives. 853 00:43:30,760 --> 00:43:33,000 Speaker 3: It's not a negative, it's just. 854 00:43:32,920 --> 00:43:36,400 Speaker 2: Saying there are more options when we especially when we 855 00:43:36,440 --> 00:43:38,480 Speaker 2: have data to say you have this central apene or 856 00:43:38,520 --> 00:43:41,839 Speaker 2: periphrae appena, or we know the actual cause rather than 857 00:43:41,880 --> 00:43:44,919 Speaker 2: just labeling the disease, then we can get. 858 00:43:44,840 --> 00:43:45,920 Speaker 3: To the resolutions. 859 00:43:45,960 --> 00:43:49,279 Speaker 2: So there's tons and tons of solutions to these different things, 860 00:43:49,320 --> 00:43:51,520 Speaker 2: but those would be really common ones, and sleep appening 861 00:43:51,560 --> 00:43:55,440 Speaker 2: is so prevalent that's it gets a primary focus for 862 00:43:55,440 --> 00:43:55,880 Speaker 2: good reasons. 863 00:43:55,920 --> 00:43:59,719 Speaker 1: Yeah, that makes sense. How would you approach exercise for 864 00:43:59,760 --> 00:44:00,560 Speaker 1: the average person? 865 00:44:01,040 --> 00:44:04,120 Speaker 3: You need baseline fiscal activity, okay, step. 866 00:44:03,880 --> 00:44:06,200 Speaker 1: Number one, every day, every day movement. 867 00:44:06,600 --> 00:44:07,800 Speaker 3: Most most days movement. 868 00:44:07,960 --> 00:44:12,240 Speaker 2: Yeah, you want to do this as structured exercise. Fine, 869 00:44:13,080 --> 00:44:15,759 Speaker 2: you want to do this as you know you start 870 00:44:15,800 --> 00:44:18,920 Speaker 2: doing the stairs more and great, you want to do 871 00:44:19,000 --> 00:44:22,120 Speaker 2: this as standing desk or re engineering your life a 872 00:44:22,120 --> 00:44:23,320 Speaker 2: little bit, do more walks. 873 00:44:23,440 --> 00:44:26,040 Speaker 3: I mean, there's so many more ways to get into this. 874 00:44:26,000 --> 00:44:28,080 Speaker 1: But you got to pick one of these paths, yeah, 875 00:44:28,120 --> 00:44:28,759 Speaker 1: and follow it. 876 00:44:30,000 --> 00:44:33,560 Speaker 3: Then you need something that takes you to a higher 877 00:44:33,600 --> 00:44:34,680 Speaker 3: heart rate once a week. 878 00:44:35,239 --> 00:44:38,160 Speaker 2: Okay, once a week minimum, right, you want to do 879 00:44:38,239 --> 00:44:40,120 Speaker 2: more cool woman for it, but once a week you 880 00:44:40,160 --> 00:44:44,399 Speaker 2: should be getting yourself up zone. I don't care, right, 881 00:44:44,520 --> 00:44:47,600 Speaker 2: I'm just not like, not a believer in no offense anybody. 882 00:44:47,200 --> 00:44:49,200 Speaker 3: But I'm not a like, I'm not a zone two guy. 883 00:44:49,680 --> 00:44:51,600 Speaker 2: Just like not. This is not, honestly not that big 884 00:44:51,640 --> 00:44:54,680 Speaker 2: of deal. You need to get your heart rate really high, 885 00:44:54,680 --> 00:44:58,120 Speaker 2: thought least once a week. If this wants to look 886 00:44:58,160 --> 00:45:01,759 Speaker 2: like high intents and animals, great, you want to go 887 00:45:01,840 --> 00:45:03,000 Speaker 2: to kickboxing class. 888 00:45:04,000 --> 00:45:04,919 Speaker 3: I don't really care. 889 00:45:05,000 --> 00:45:07,480 Speaker 2: But something that gets to you close, I don't care 890 00:45:07,480 --> 00:45:09,480 Speaker 2: if this is ninety two percent or ninety eight percent 891 00:45:09,560 --> 00:45:12,239 Speaker 2: or eighty seven. Something that's like makes you feel like 892 00:45:12,239 --> 00:45:16,040 Speaker 2: you're pretty darn close to your higher rate meant for it, 893 00:45:16,080 --> 00:45:18,920 Speaker 2: whatever it is, Right, then you need to do something 894 00:45:20,080 --> 00:45:24,480 Speaker 2: most days that puts most of your joints through most 895 00:45:24,560 --> 00:45:29,920 Speaker 2: range of motion. If this is yoga or plates or 896 00:45:29,960 --> 00:45:33,920 Speaker 2: stretching or jiu jitsu or full range of motion, strength 897 00:45:33,960 --> 00:45:38,440 Speaker 2: training or scrambling up you know some rocks and I 898 00:45:38,440 --> 00:45:41,800 Speaker 2: don't really care, but you need to move your joints 899 00:45:41,840 --> 00:45:44,440 Speaker 2: through a full range of motion. I would like to 900 00:45:44,440 --> 00:45:48,400 Speaker 2: see something where you engage in sustained energy output for 901 00:45:48,440 --> 00:45:52,000 Speaker 2: thirty plus minutes, and thirty minutes is of course a 902 00:45:52,080 --> 00:45:55,600 Speaker 2: random at of number. Right, twenty minutes, sure, forty minutes 903 00:45:55,640 --> 00:45:59,319 Speaker 2: short like something that is passed. We're not doing high 904 00:45:59,320 --> 00:46:03,759 Speaker 2: in times of the intervals. We're not doing CrossFit class like, 905 00:46:04,000 --> 00:46:05,320 Speaker 2: I mean literally no stopping. 906 00:46:05,880 --> 00:46:09,239 Speaker 3: If this is jogging or whatever. If this is a. 907 00:46:10,920 --> 00:46:16,080 Speaker 2: Twenty minute jiu jitsu role something, these are different physiological 908 00:46:16,160 --> 00:46:18,960 Speaker 2: challenges once a week for that. 909 00:46:20,360 --> 00:46:22,640 Speaker 3: Again, you can combine a bunch of these into the 910 00:46:23,000 --> 00:46:24,719 Speaker 3: same workouts and get a bunch of things knocked on. 911 00:46:25,680 --> 00:46:32,040 Speaker 2: Last two things something that requires high force. Right, Traditionally 912 00:46:32,040 --> 00:46:37,520 Speaker 2: we're to look at weights for this, machines, bands, bells, bars, bodies. 913 00:46:37,680 --> 00:46:38,279 Speaker 1: I'm in for it. 914 00:46:38,960 --> 00:46:43,480 Speaker 2: Yeah, whatever, would like to see that twice a week, right, 915 00:46:43,520 --> 00:46:45,120 Speaker 2: we want to cover all of our joints, all of 916 00:46:45,120 --> 00:46:48,279 Speaker 2: our big muscle groups and mobile patterns and things like that, 917 00:46:49,880 --> 00:46:55,839 Speaker 2: and then one thing that requires high muscular endurance. So 918 00:46:55,880 --> 00:46:59,680 Speaker 2: this is more of your higher repetition in the weight room. 919 00:47:00,400 --> 00:47:07,200 Speaker 2: This could be calisthenics, This could be body weight stuff. 920 00:47:07,400 --> 00:47:10,680 Speaker 2: Something that is more of your traditional you know, thirty 921 00:47:10,719 --> 00:47:15,120 Speaker 2: plus repetitions or a minute plus isometrics or holds. 922 00:47:16,120 --> 00:47:16,239 Speaker 3: In. 923 00:47:16,280 --> 00:47:18,360 Speaker 2: Tons of ways we can do that, and again I 924 00:47:18,360 --> 00:47:19,839 Speaker 2: would like to see that at least once a week 925 00:47:19,880 --> 00:47:24,239 Speaker 2: into the plan, you start taking off those nodes. Man, 926 00:47:24,280 --> 00:47:26,680 Speaker 2: you're pretty resilient. Yeah, Like, there's just not much you 927 00:47:26,719 --> 00:47:30,120 Speaker 2: can't do. Someone wants to throw you one a twenty 928 00:47:30,160 --> 00:47:33,200 Speaker 2: mile hike, you'd make it right because you have the 929 00:47:33,239 --> 00:47:37,160 Speaker 2: steps in, you have the tissue tolerance to be able 930 00:47:37,160 --> 00:47:39,320 Speaker 2: to get through it, and you don't break down. The 931 00:47:39,400 --> 00:47:41,319 Speaker 2: knee doesn't start blowing up on you, right, the low 932 00:47:41,360 --> 00:47:42,040 Speaker 2: back doesn't go. 933 00:47:42,960 --> 00:47:44,719 Speaker 3: You do whatever. Somebody pops in and goes, let's do 934 00:47:44,719 --> 00:47:47,000 Speaker 3: a high rocks this weekend. You get through it. 935 00:47:47,160 --> 00:47:49,160 Speaker 2: Why, if you've done enough strength training, you can go 936 00:47:49,200 --> 00:47:51,840 Speaker 2: four into motion. You've got VO two max capacity, you 937 00:47:51,840 --> 00:47:53,719 Speaker 2: can get to high heart rate. I mean you start 938 00:47:53,719 --> 00:47:55,480 Speaker 2: go one on the list. Hey, let's play a round 939 00:47:55,480 --> 00:47:56,400 Speaker 2: of golf this weekend. 940 00:47:56,640 --> 00:47:56,839 Speaker 1: Yeah? 941 00:47:56,880 --> 00:47:59,400 Speaker 2: Man, why because I'm used to swinging hard? Pop in, 942 00:47:59,480 --> 00:48:03,680 Speaker 2: let's go serve. Okay, whatever, you can do lots of 943 00:48:03,719 --> 00:48:08,120 Speaker 2: stuff and survive it and then not be either injured 944 00:48:08,520 --> 00:48:14,040 Speaker 2: or wrecked for so many days you can't do it again. 945 00:48:14,160 --> 00:48:17,760 Speaker 1: So yeah, it's like prepare your body to do pretty 946 00:48:17,840 --> 00:48:20,839 Speaker 1: much anything. And it also turns out if you do that, 947 00:48:20,840 --> 00:48:22,959 Speaker 1: that's probably gonna help your health in the long run too. 948 00:48:23,560 --> 00:48:25,880 Speaker 3: I will right, like, this is your anti Achilles protocol. 949 00:48:26,080 --> 00:48:27,600 Speaker 1: Yeah, like you do this. 950 00:48:27,600 --> 00:48:29,719 Speaker 2: Stuff, your Achilles has got a much better chance for 951 00:48:29,760 --> 00:48:30,280 Speaker 2: not snapping. 952 00:48:30,480 --> 00:48:35,320 Speaker 1: Yep, I love it all right. Final question, if you 953 00:48:35,360 --> 00:48:38,840 Speaker 1: could be any professional athlete, what sport would you have done? 954 00:48:39,840 --> 00:48:43,520 Speaker 3: It's so cliche, but I'm just being candid. 955 00:48:44,160 --> 00:48:47,160 Speaker 2: Nothing felt as natural as when I started doing combat sports. 956 00:48:47,400 --> 00:48:49,680 Speaker 3: Yeah, I hated wrestling. 957 00:48:49,840 --> 00:48:52,279 Speaker 2: I still think like wrestling is the no offense, the 958 00:48:52,320 --> 00:48:53,319 Speaker 2: dumbest thing. 959 00:48:52,920 --> 00:48:53,319 Speaker 1: I'm saying. 960 00:48:53,320 --> 00:48:55,600 Speaker 3: I don't get it at all. But once I started 961 00:48:55,600 --> 00:48:56,400 Speaker 3: getting into. 962 00:48:57,760 --> 00:49:00,799 Speaker 2: The striking sports and jiu jitsu, I'm like, oh my god, 963 00:49:01,239 --> 00:49:04,080 Speaker 2: Like it's it's. 964 00:49:03,040 --> 00:49:05,439 Speaker 3: Very it feels very, very very good to do those things. 965 00:49:05,480 --> 00:49:08,480 Speaker 2: Yeah, so those ones might have been it probably would 966 00:49:08,520 --> 00:49:12,120 Speaker 2: have been a battle between that and in football. 967 00:49:12,560 --> 00:49:15,799 Speaker 1: Actually, I have a final, final question. Who are the 968 00:49:15,880 --> 00:49:17,839 Speaker 1: toughest athletes you work with? 969 00:49:18,320 --> 00:49:21,040 Speaker 2: I'm going to answer this in two avenues. This is 970 00:49:21,040 --> 00:49:24,759 Speaker 2: a really tremendous question. I've been fortunate to work with 971 00:49:25,520 --> 00:49:29,800 Speaker 2: Tatiana Suarez for many years. I've worked with Brian Ortega 972 00:49:29,840 --> 00:49:32,480 Speaker 2: for many years. You know anything about the UFC. If 973 00:49:32,520 --> 00:49:36,200 Speaker 2: you watched any Brian Ortega fight, you can't tell me 974 00:49:36,200 --> 00:49:39,919 Speaker 2: any baseball players, basketball player, any NFL player is as. 975 00:49:39,800 --> 00:49:41,880 Speaker 3: Tough as that. Now, it's it's wild. 976 00:49:42,560 --> 00:49:46,680 Speaker 2: Tatiana broke her neck when she was getting ready for 977 00:49:46,680 --> 00:49:50,000 Speaker 2: the Olympics and wrestling. There's an HBO documentary on Tatiana. 978 00:49:51,000 --> 00:49:55,000 Speaker 2: It's it's tremendous. She in when she broke her neck. 979 00:49:55,040 --> 00:49:56,920 Speaker 2: On the scans she found she had thyroid cancer. 980 00:49:57,440 --> 00:49:58,080 Speaker 1: Holy shit. 981 00:49:59,000 --> 00:50:02,680 Speaker 2: She comes back tires from wrestling and goes straight into him, 982 00:50:02,280 --> 00:50:08,080 Speaker 2: and then she gets all the way up as undefeated, 983 00:50:08,920 --> 00:50:11,480 Speaker 2: is one fight away from a title fight, and the 984 00:50:11,640 --> 00:50:14,279 Speaker 2: little short version of it is she then gets hurt 985 00:50:14,360 --> 00:50:17,960 Speaker 2: as out for four and a half years, like we 986 00:50:18,280 --> 00:50:23,600 Speaker 2: battled so many things over those years, and then she eventually, 987 00:50:23,760 --> 00:50:26,440 Speaker 2: you know, got back to fighting. So when you look 988 00:50:26,480 --> 00:50:28,440 Speaker 2: at them, like in the moment, who can like take 989 00:50:28,480 --> 00:50:31,279 Speaker 2: an ass whipping more than anyone else? See, you can't 990 00:50:31,320 --> 00:50:34,440 Speaker 2: say anyone categorky more than fighters. 991 00:50:34,840 --> 00:50:38,640 Speaker 1: I like it. One day you and I will be tough, hopefully, hopefully, 992 00:50:39,239 --> 00:50:41,600 Speaker 1: I don't think so we can Joe. 993 00:50:41,640 --> 00:50:43,440 Speaker 2: I'm over here feeling good about myself because I'm doing 994 00:50:43,480 --> 00:50:45,000 Speaker 2: this podcast and I got a little cold and I 995 00:50:45,040 --> 00:50:45,640 Speaker 2: was up all night. 996 00:50:45,719 --> 00:50:49,200 Speaker 3: I'm like, got to this one. You're a champion today, Andy. 997 00:50:49,120 --> 00:50:51,080 Speaker 1: I like it. We'll give you points for that. Well, Andy, 998 00:50:51,080 --> 00:50:51,960 Speaker 1: thanks a lot for coming on. 999 00:50:52,000 --> 00:50:52,160 Speaker 2: Man. 1000 00:50:52,200 --> 00:50:57,239 Speaker 1: This is awesome. Yeah, you're the man. Man. Thank you 1001 00:50:57,280 --> 00:50:59,360 Speaker 1: as always for checking out the show, and many thanks 1002 00:50:59,400 --> 00:51:02,040 Speaker 1: to doctor Andy Gaalpin for jumping on with us and 1003 00:51:02,080 --> 00:51:04,920 Speaker 1: giving us his wisdom. As a reminder, you can find 1004 00:51:05,040 --> 00:51:08,600 Speaker 1: Andy through a Wret, his health company, through Absolute Rest, 1005 00:51:08,719 --> 00:51:11,839 Speaker 1: his sleep company, and via his podcast which is called 1006 00:51:11,880 --> 00:51:16,040 Speaker 1: Perform with Doctor Andy Gallpin. As for two percent, we 1007 00:51:16,080 --> 00:51:19,479 Speaker 1: are dropping new episodes twice a week in your feed, 1008 00:51:19,560 --> 00:51:21,359 Speaker 1: so please keep an eye out for more. And if 1009 00:51:21,400 --> 00:51:24,200 Speaker 1: you have a question for us, we love questions, please 1010 00:51:24,239 --> 00:51:28,239 Speaker 1: send them. You can send them to media at twopct 1011 00:51:28,400 --> 00:51:30,920 Speaker 1: dot com or you can drop them in the YouTube comments. 1012 00:51:31,320 --> 00:51:33,400 Speaker 1: Even better, if you want to give us a voice 1013 00:51:33,400 --> 00:51:35,799 Speaker 1: memo as your question or even in a video, we 1014 00:51:35,840 --> 00:51:37,520 Speaker 1: would love to have that and we will try to 1015 00:51:37,560 --> 00:51:40,879 Speaker 1: answer as many questions as humanly possible. And of course, 1016 00:51:40,920 --> 00:51:44,960 Speaker 1: as always our request please subscribe. It absolutely helps us 1017 00:51:45,400 --> 00:51:48,640 Speaker 1: it is important. And with all that said, since the 1018 00:51:48,680 --> 00:51:50,840 Speaker 1: final reminder, as we close up the show as we 1019 00:51:50,880 --> 00:51:53,560 Speaker 1: always will, how fun don't Die.