1 00:00:01,080 --> 00:00:03,760 Speaker 1: I get our team, welcome back to the show. Doctor 2 00:00:03,840 --> 00:00:07,080 Speaker 1: Jeffer is here once a month or so. I don't know. 3 00:00:07,160 --> 00:00:09,280 Speaker 1: Is it once a month or once a two months? 4 00:00:09,280 --> 00:00:11,120 Speaker 1: Once a month, isn't it? 5 00:00:11,119 --> 00:00:13,520 Speaker 2: It's once a month. I think our contract calls for 6 00:00:14,400 --> 00:00:17,000 Speaker 2: once a month for the next seventy five years. 7 00:00:17,560 --> 00:00:20,680 Speaker 1: That's it. That's it, and we've fixed the rate at 8 00:00:20,800 --> 00:00:24,119 Speaker 1: zero point zero dollars per month, so the value is there, 9 00:00:25,160 --> 00:00:28,200 Speaker 1: although although that remains to be seen with this episode. 10 00:00:28,200 --> 00:00:30,800 Speaker 1: I mean, you've been all right so far. You've been 11 00:00:30,800 --> 00:00:34,600 Speaker 1: all right so far, but no I'm being an idiot. 12 00:00:34,600 --> 00:00:36,600 Speaker 1: Thank you again. We love having you. We get great 13 00:00:36,600 --> 00:00:39,839 Speaker 1: feedback about you. My listeners love you, and you and 14 00:00:39,840 --> 00:00:43,400 Speaker 1: I were just chatting before we started rolling about the 15 00:00:43,440 --> 00:00:46,600 Speaker 1: circus that is American politics and living in the middle 16 00:00:46,640 --> 00:00:47,160 Speaker 1: of it all. 17 00:00:48,800 --> 00:00:50,199 Speaker 2: How is that for you? 18 00:00:50,320 --> 00:00:50,680 Speaker 1: Has it? 19 00:00:50,880 --> 00:00:50,960 Speaker 3: Like? 20 00:00:51,360 --> 00:00:53,320 Speaker 1: What are your just your thoughts on that? 21 00:00:54,280 --> 00:00:58,760 Speaker 2: Yeah, so asperience, and thank you for having me back 22 00:00:58,760 --> 00:01:00,640 Speaker 2: with your audience. I love to talking to you guys. 23 00:01:00,680 --> 00:01:05,120 Speaker 2: This has been rewarding and fun. And it's like if 24 00:01:05,160 --> 00:01:07,319 Speaker 2: I can go off topic in sixth grade, you know, 25 00:01:07,680 --> 00:01:10,120 Speaker 2: you know, into we call that middle school or junior 26 00:01:10,200 --> 00:01:13,960 Speaker 2: high here, I had I had a pen pal from Australia. 27 00:01:14,000 --> 00:01:17,400 Speaker 2: But now through the magic of Zoom, you're my new 28 00:01:17,440 --> 00:01:20,760 Speaker 2: pen pal. We get to talk, so so thank you 29 00:01:20,840 --> 00:01:24,840 Speaker 2: for being that. But how is it for us here? 30 00:01:25,800 --> 00:01:29,000 Speaker 2: We're entertained, As I told you right before we started recording, 31 00:01:29,440 --> 00:01:32,920 Speaker 2: We're entertained constantly. We no longer are watching movies and 32 00:01:33,040 --> 00:01:36,759 Speaker 2: television series, uh, you know, to unwind. In the evening, 33 00:01:36,800 --> 00:01:40,760 Speaker 2: we're watching the news because there's plenty of entertainment, just 34 00:01:40,840 --> 00:01:44,880 Speaker 2: seeing what happened in the day. So that's that's what's 35 00:01:44,920 --> 00:01:45,280 Speaker 2: going on there. 36 00:01:45,360 --> 00:01:48,280 Speaker 1: Anything good that's coming out of it for you? Like 37 00:01:48,520 --> 00:01:52,600 Speaker 1: I mean already I don't know. I feel like you know, 38 00:01:52,720 --> 00:01:56,720 Speaker 1: in life, like in medicine, in politics, even in science 39 00:01:56,920 --> 00:02:00,120 Speaker 1: in nutrition, like everyone lives or not everyone, but as 40 00:02:00,160 --> 00:02:03,000 Speaker 1: people live in an echo China. Right, if you think 41 00:02:03,040 --> 00:02:05,600 Speaker 1: Trump's an idiot, it doesn't matter what he says, he 42 00:02:05,600 --> 00:02:07,720 Speaker 1: could say the most profound, brilliant thing of all the time. 43 00:02:07,760 --> 00:02:10,600 Speaker 1: He's still a fucking idiot because I hide him. Or 44 00:02:10,639 --> 00:02:13,160 Speaker 1: if you think he's the Messiah, well it doesn't matter 45 00:02:13,200 --> 00:02:16,320 Speaker 1: what he says. He's right, Like what what's the good 46 00:02:16,360 --> 00:02:19,359 Speaker 1: and bad? Like just on the surface to come out 47 00:02:19,360 --> 00:02:21,280 Speaker 1: of it if anything. 48 00:02:22,200 --> 00:02:24,160 Speaker 2: Well, first on the on the on the on the 49 00:02:24,280 --> 00:02:26,720 Speaker 2: pushing the envelope on the medical side of things. His 50 00:02:26,720 --> 00:02:31,800 Speaker 2: his involvement of Robert F. Kennedy, junior atop our Health 51 00:02:31,800 --> 00:02:36,880 Speaker 2: and Human Services Department. Uh, we look to have him 52 00:02:36,880 --> 00:02:41,200 Speaker 2: shake things up, you know, relook at things that you know, 53 00:02:41,280 --> 00:02:45,400 Speaker 2: the government says was quote unquote proven, and they misuse 54 00:02:45,440 --> 00:02:47,840 Speaker 2: that word all the time because what really is proven? 55 00:02:48,240 --> 00:02:50,520 Speaker 2: So because we relearned new things all the time that 56 00:02:50,560 --> 00:02:53,280 Speaker 2: reversal things. So I think shaking things up in the 57 00:02:53,320 --> 00:02:55,960 Speaker 2: medical sense and opening up a lot of the cutting 58 00:02:56,040 --> 00:03:00,919 Speaker 2: edge things I do to protect my patients, Yes, stem cells, 59 00:03:01,080 --> 00:03:05,120 Speaker 2: you know, alternative cancer therapies, things like this. You know, 60 00:03:05,720 --> 00:03:08,000 Speaker 2: it should be a choice, right, It's about a freedom 61 00:03:08,080 --> 00:03:12,000 Speaker 2: of choosing, and hopefully that they will make it less, 62 00:03:12,280 --> 00:03:15,040 Speaker 2: They will make those of us sound a little less. 63 00:03:16,040 --> 00:03:17,960 Speaker 2: Those of us at the tip of the spear aren't 64 00:03:18,000 --> 00:03:24,080 Speaker 2: as crazy as you think. So so that that I like, certainly, 65 00:03:24,400 --> 00:03:27,720 Speaker 2: just like your body has sinescent zombie cells that are 66 00:03:28,280 --> 00:03:32,519 Speaker 2: you know, leaking toxins and taking up resources, so does 67 00:03:32,560 --> 00:03:35,800 Speaker 2: our government. It's bloated and wasteful, and you know, money 68 00:03:35,800 --> 00:03:38,280 Speaker 2: and we're finding where money has gone for so many decades, 69 00:03:38,320 --> 00:03:42,760 Speaker 2: and there's nothing wrong with cleaning it up, making it 70 00:03:42,800 --> 00:03:45,800 Speaker 2: more efficient, saving money. We pay a lot in taxes. 71 00:03:45,800 --> 00:03:47,480 Speaker 2: I don't know how that compares to where you are, 72 00:03:47,560 --> 00:03:53,400 Speaker 2: but certainly you know there's a there's a resource utilization 73 00:03:53,560 --> 00:03:56,760 Speaker 2: problem for when you get to a certain size population 74 00:03:57,960 --> 00:03:59,880 Speaker 2: or as they say, too many rats in the cage, 75 00:04:00,040 --> 00:04:02,560 Speaker 2: they start fading. So I think we have that here. 76 00:04:02,880 --> 00:04:07,320 Speaker 2: I doubt you have that problem given your population per 77 00:04:07,880 --> 00:04:09,560 Speaker 2: per square kilometer. 78 00:04:10,800 --> 00:04:13,760 Speaker 1: Yeah, yeah, I think we have like one person per 79 00:04:13,800 --> 00:04:16,440 Speaker 1: square kilometer. I mean, obviously most of the majority of 80 00:04:16,520 --> 00:04:19,200 Speaker 1: US live in cities, but Australia is you will take 81 00:04:19,240 --> 00:04:22,160 Speaker 1: about the same size as America with one fourteenth of 82 00:04:22,200 --> 00:04:25,480 Speaker 1: the population. So you guys are I think three thirty 83 00:04:25,560 --> 00:04:29,360 Speaker 1: where twenty five or twenty six something like that. So 84 00:04:29,680 --> 00:04:32,920 Speaker 1: when when not even California. I think California is forty odd, 85 00:04:32,960 --> 00:04:33,280 Speaker 1: isn't it? 86 00:04:35,320 --> 00:04:39,520 Speaker 2: Probably the California is sort of like the fungal infected 87 00:04:39,640 --> 00:04:45,120 Speaker 2: toe of a country. It's a beautiful place. It has 88 00:04:45,279 --> 00:04:49,000 Speaker 2: wonderful views, mountains and beaches and all things in between, 89 00:04:49,080 --> 00:04:52,400 Speaker 2: and all kinds of cool things, but it cannot adult. 90 00:04:52,680 --> 00:04:53,720 Speaker 2: Do you use that term? 91 00:04:53,880 --> 00:04:57,160 Speaker 1: Yeah? Yeah, yeah, one hundred percent. Yeah, I feel from 92 00:04:57,200 --> 00:05:01,119 Speaker 1: the outside looking in. I've been to California a few times, 93 00:05:01,120 --> 00:05:05,080 Speaker 1: and geographically I think you mean, you know, geographically it's beautiful, 94 00:05:05,120 --> 00:05:07,040 Speaker 1: but in terms of what's going on there as a 95 00:05:07,240 --> 00:05:08,800 Speaker 1: shit vest, it seems. 96 00:05:08,520 --> 00:05:14,479 Speaker 2: Like that's well said. It's the taxation locally. I don't 97 00:05:14,480 --> 00:05:16,640 Speaker 2: know how it is in Australia, but we have a 98 00:05:16,680 --> 00:05:19,240 Speaker 2: federal tax, and then we have state and local taxes, 99 00:05:19,279 --> 00:05:22,719 Speaker 2: and the state tax in California can exceed twelve percent. 100 00:05:23,640 --> 00:05:25,760 Speaker 2: So if you're doing a federal tax of thirty eight percent, 101 00:05:26,600 --> 00:05:29,760 Speaker 2: you're already at half your earned money is tax So 102 00:05:30,240 --> 00:05:32,920 Speaker 2: in Nevada, where I live, there is no state tax. 103 00:05:33,120 --> 00:05:35,599 Speaker 2: Why because we have other sources of revenues, you know, 104 00:05:35,680 --> 00:05:39,800 Speaker 2: taxes on gambling and things, so we are a little 105 00:05:39,800 --> 00:05:41,440 Speaker 2: bit higher. Sales tax A few are the things that 106 00:05:41,480 --> 00:05:44,160 Speaker 2: make up for that. But you know, a lot of 107 00:05:44,200 --> 00:05:48,280 Speaker 2: people have moved from California to Nevada for that for 108 00:05:48,320 --> 00:05:50,240 Speaker 2: that reason, and I. 109 00:05:50,200 --> 00:05:53,000 Speaker 1: Think about a million people have moved to Austin, Texas 110 00:05:53,040 --> 00:05:54,440 Speaker 1: to live with Joe Rogan. 111 00:05:55,160 --> 00:05:59,080 Speaker 2: Joe and Elon and Tim Ferriss and many others. 112 00:05:59,160 --> 00:06:03,880 Speaker 1: Yeah, yeah, yeah, all right, So I want to be 113 00:06:03,920 --> 00:06:06,479 Speaker 1: selfish today. I want to ask you some questions. I 114 00:06:06,560 --> 00:06:12,560 Speaker 1: basically want a free consult. Let's be honest, no worries. Yeah. So, 115 00:06:12,560 --> 00:06:20,120 Speaker 1: so my PhD is all around understanding how other people think, 116 00:06:20,160 --> 00:06:22,800 Speaker 1: theory of mind, understanding how people think about me, met 117 00:06:22,839 --> 00:06:25,400 Speaker 1: o perception, and so I'm always doing a deep dive 118 00:06:25,440 --> 00:06:27,480 Speaker 1: in how people think and why they think the way 119 00:06:27,480 --> 00:06:29,760 Speaker 1: they do and blah blah blah. And I'm fascinated with 120 00:06:29,800 --> 00:06:36,359 Speaker 1: the brain more broadly. But for me at sixty one, obviously, 121 00:06:36,440 --> 00:06:40,479 Speaker 1: I think a lot about how do I keep what 122 00:06:40,560 --> 00:06:43,680 Speaker 1: I've got working optimally for as long as I can. So, 123 00:06:45,600 --> 00:06:48,479 Speaker 1: I mean it's you can't be objective about yourself obviously, 124 00:06:48,600 --> 00:06:52,039 Speaker 1: but I feel like Doc. I feel like because I've 125 00:06:52,040 --> 00:06:54,719 Speaker 1: been using my brain, probably in the last ten years 126 00:06:54,760 --> 00:06:57,960 Speaker 1: more than any particular decade of my life, I feel 127 00:06:57,960 --> 00:07:00,360 Speaker 1: like it's better than it was, which it may be isn't, 128 00:07:01,080 --> 00:07:05,400 Speaker 1: but certainly my ability to think, clearly, focus, concentrate, produce 129 00:07:05,440 --> 00:07:11,720 Speaker 1: good work, be creative, communicate, it definitely hasn't gone backwards. 130 00:07:12,320 --> 00:07:16,120 Speaker 1: What can I do, slash We do to keep our 131 00:07:16,240 --> 00:07:21,840 Speaker 1: brain and cognition working in somewhere near optimal state for 132 00:07:21,920 --> 00:07:26,520 Speaker 1: whatever our potential is I mean, yeah, that's the longest 133 00:07:26,600 --> 00:07:29,240 Speaker 1: question of all time. Steps down off soapbox. 134 00:07:30,560 --> 00:07:34,960 Speaker 2: Yeah, listen, I got you, and I just read a 135 00:07:34,960 --> 00:07:38,240 Speaker 2: study on this yesterday. It reinforced what I would have said, 136 00:07:38,840 --> 00:07:41,280 Speaker 2: and I will see now that I'm going to give 137 00:07:41,280 --> 00:07:46,679 Speaker 2: you the two most powerful, most influential things to preserve 138 00:07:46,720 --> 00:07:51,440 Speaker 2: your brain function that you are doing and you should 139 00:07:51,480 --> 00:07:54,400 Speaker 2: continue doing, and we should all do, is to move 140 00:07:54,520 --> 00:07:59,400 Speaker 2: slash exercise and to sleep restoratively. And that is different 141 00:07:59,400 --> 00:08:02,960 Speaker 2: for every person. Let's break those down, if you'll allow so, 142 00:08:03,720 --> 00:08:07,560 Speaker 2: you could tell me more about exercise. But it turns 143 00:08:07,600 --> 00:08:13,400 Speaker 2: out that it's the more intense exercise that gives us 144 00:08:13,680 --> 00:08:17,880 Speaker 2: better release of these small signaling molecules, the small peptides 145 00:08:17,920 --> 00:08:21,400 Speaker 2: that the muscles release when they're crying out at the 146 00:08:21,520 --> 00:08:24,520 Speaker 2: end of a workout. Those are called myo kinds. Myof 147 00:08:24,680 --> 00:08:28,760 Speaker 2: muscle kinds is a nice word for a peptide that 148 00:08:28,880 --> 00:08:30,560 Speaker 2: likes to do something or likes to go somewhere and 149 00:08:30,600 --> 00:08:35,280 Speaker 2: has a signal the brain benefits significantly. So this is 150 00:08:35,600 --> 00:08:38,800 Speaker 2: working out to failure. You know, instead of three reps 151 00:08:38,800 --> 00:08:42,280 Speaker 2: of ten for your biceps, you should do one rep, sorry, 152 00:08:42,320 --> 00:08:45,600 Speaker 2: one set to failure. It's in that last rep or 153 00:08:45,600 --> 00:08:48,800 Speaker 2: two where you get most of the work. That's really 154 00:08:48,840 --> 00:08:50,360 Speaker 2: where you grow at. So I think we need to 155 00:08:50,400 --> 00:08:53,040 Speaker 2: change how we look at exercise and do more of this. 156 00:08:53,400 --> 00:08:55,800 Speaker 2: If if we do cardiovascular it should be more of 157 00:08:55,840 --> 00:08:59,440 Speaker 2: the high intensity interval type stuff. The heart does better 158 00:08:59,480 --> 00:09:02,199 Speaker 2: with that. And then and back to the sleep. Restorative 159 00:09:02,200 --> 00:09:05,040 Speaker 2: sleep might be a certain amount of time. It might 160 00:09:05,080 --> 00:09:08,200 Speaker 2: be learning how to have an environment so that you 161 00:09:08,280 --> 00:09:12,600 Speaker 2: get more out of that cellular repair, like a hibernating bear. 162 00:09:14,640 --> 00:09:17,520 Speaker 2: So you know, you need a cold room. You can 163 00:09:17,559 --> 00:09:19,520 Speaker 2: snuggle up in the sheets and the blankets, but you 164 00:09:19,520 --> 00:09:21,679 Speaker 2: should have cold on your you know, your face should 165 00:09:21,720 --> 00:09:24,880 Speaker 2: be cold, your body should be slightly you know cold 166 00:09:24,880 --> 00:09:29,760 Speaker 2: there through that purpose, it should be very dark. There 167 00:09:29,760 --> 00:09:32,079 Speaker 2: should be a wind down at night, whether you turn 168 00:09:32,120 --> 00:09:34,920 Speaker 2: off screens, where blue blocker glasses or you know, do 169 00:09:35,040 --> 00:09:39,520 Speaker 2: some breathing and something maybe some meditation or Yoga's just 170 00:09:39,559 --> 00:09:42,400 Speaker 2: something braf just to turn off the brain. And I 171 00:09:42,559 --> 00:09:44,400 Speaker 2: like to use a sleep a sleep app or some 172 00:09:44,440 --> 00:09:48,640 Speaker 2: wearable tech because we have different brain wave forms and 173 00:09:49,120 --> 00:09:52,000 Speaker 2: stages of sleep, and you could sleep eight hours and 174 00:09:52,080 --> 00:09:56,720 Speaker 2: not get deep sleep. So you really need to take action, 175 00:09:56,840 --> 00:09:59,080 Speaker 2: and it's very simple action, like none of these things 176 00:09:59,120 --> 00:10:02,440 Speaker 2: cost anything. I'm a huge fan of a peptide at 177 00:10:02,559 --> 00:10:06,720 Speaker 2: nighttime called melatonin melotonin. You say, but that's just an 178 00:10:06,720 --> 00:10:10,120 Speaker 2: over the counter supplement. Yes, but it's a peptide. It's 179 00:10:10,120 --> 00:10:14,640 Speaker 2: a hormone that we make and we don't make much 180 00:10:14,679 --> 00:10:16,480 Speaker 2: of after puberty. Do you ever try to wake a 181 00:10:16,480 --> 00:10:22,960 Speaker 2: teenager out of a platonic it's time for school? Wake up? Well, 182 00:10:22,960 --> 00:10:25,800 Speaker 2: you know we've got some recast. Yeah, you've got you know, 183 00:10:25,920 --> 00:10:28,719 Speaker 2: drool is puddling on the pillow, and they're just absolutely 184 00:10:28,760 --> 00:10:31,760 Speaker 2: you know, in a deep anesthesia. So why because they 185 00:10:31,920 --> 00:10:35,360 Speaker 2: this melatonin makes them sleep so deeply, and if you 186 00:10:35,480 --> 00:10:38,560 Speaker 2: sleep deep, you'll have more dreams. They'll be there'll be 187 00:10:38,800 --> 00:10:42,760 Speaker 2: deeper dreams, and that's usually stuff your brain wants to 188 00:10:42,760 --> 00:10:46,959 Speaker 2: get off. It's its chest, so to speak. And some 189 00:10:47,040 --> 00:10:48,880 Speaker 2: of them could be good, some of them cannot be good, 190 00:10:48,880 --> 00:10:54,280 Speaker 2: but they need to come out. And taking that melatonin 191 00:10:54,360 --> 00:10:57,840 Speaker 2: at nighttime a dissolvable is bast in my mind, since 192 00:10:57,840 --> 00:11:00,400 Speaker 2: it's a peptide. If you swallow a pep ted, it 193 00:11:00,720 --> 00:11:04,000 Speaker 2: might as well just be a protein supplement because you 194 00:11:04,120 --> 00:11:05,920 Speaker 2: digested it to immuno acids. Yeah. 195 00:11:06,160 --> 00:11:09,600 Speaker 1: Really, that's interesting. And I know this, sorry, I know 196 00:11:09,679 --> 00:11:16,640 Speaker 1: there's no set prescription, but like, how many milligrams give 197 00:11:16,760 --> 00:11:19,520 Speaker 1: or take with the average person need of melatonin? 198 00:11:20,360 --> 00:11:25,360 Speaker 2: Well us old guys grouping us together, Craig, because I'm 199 00:11:25,440 --> 00:11:30,600 Speaker 2: right behind you age wise, steady on it. So yeah, 200 00:11:30,640 --> 00:11:32,680 Speaker 2: one hundred and fifty, one hundred and fifty five. So 201 00:11:32,960 --> 00:11:38,760 Speaker 2: the I take twelve milligrams why because I happen to 202 00:11:38,800 --> 00:11:42,840 Speaker 2: like this, this one I get off Amazon. It cost 203 00:11:42,880 --> 00:11:45,520 Speaker 2: me ten dollars US for three hundred tablets, so I 204 00:11:45,559 --> 00:11:47,000 Speaker 2: figure I'm getting a good deal there. 205 00:11:47,679 --> 00:11:48,079 Speaker 1: Really. 206 00:11:48,640 --> 00:11:54,040 Speaker 2: Yeah, it's and I don't make any so it's a desirable. 207 00:11:54,240 --> 00:11:57,840 Speaker 1: Yeah, all right, right, and okay, wow, I didn't even 208 00:11:57,880 --> 00:12:00,640 Speaker 1: know that you could get dissolvable. I only saying the 209 00:12:00,640 --> 00:12:01,960 Speaker 1: tablets all the appields. 210 00:12:02,040 --> 00:12:04,920 Speaker 2: Yeah, so you don't need to start at twelve miligrams. 211 00:12:04,920 --> 00:12:08,160 Speaker 2: They make a three milligram five ten, you know, start 212 00:12:08,160 --> 00:12:10,160 Speaker 2: out where you want to start out. I have some 213 00:12:10,200 --> 00:12:12,720 Speaker 2: patients that take it and they say, wow, I took 214 00:12:12,760 --> 00:12:14,760 Speaker 2: I took ten miligrams. I feel groggy in the morning. 215 00:12:14,920 --> 00:12:17,080 Speaker 2: I said, Okay, we either backed up on the dose 216 00:12:17,160 --> 00:12:20,800 Speaker 2: or you take it earlier in the evening, so we 217 00:12:20,800 --> 00:12:23,520 Speaker 2: can play around with that. So your body needs that 218 00:12:24,640 --> 00:12:30,640 Speaker 2: melatonin because we need to have that cellular repair. The 219 00:12:30,679 --> 00:12:32,840 Speaker 2: brain does it too, The entire body does it. We 220 00:12:32,880 --> 00:12:36,640 Speaker 2: repair our DNA, we make new proteins. Plants do this too. 221 00:12:36,800 --> 00:12:39,240 Speaker 2: Plants have a light phase in a dark phase. They 222 00:12:39,280 --> 00:12:43,000 Speaker 2: do photosynthesis during the day, and our photosynthesis is eating 223 00:12:43,040 --> 00:12:45,880 Speaker 2: food and metabolizing it, and then they do a whole 224 00:12:45,960 --> 00:12:48,400 Speaker 2: dark phase repair. We need that dark phase repair. We 225 00:12:48,440 --> 00:12:52,840 Speaker 2: are circadian animals. We respond to the to the solar 226 00:12:52,960 --> 00:12:56,520 Speaker 2: and and some of us respond to lunar cycles, right, 227 00:12:56,720 --> 00:13:01,120 Speaker 2: mostly women, but men probably have some vestige of that. 228 00:13:01,160 --> 00:13:02,640 Speaker 2: I just not sure what it is. 229 00:13:03,679 --> 00:13:08,760 Speaker 1: I'm just searching. I think melatonin. Yeah, it's not even 230 00:13:08,920 --> 00:13:14,079 Speaker 1: This is how restricted Australia is. Doc In Australia, melatonin 231 00:13:14,200 --> 00:13:18,120 Speaker 1: is not available over the counter. You can get low 232 00:13:18,320 --> 00:13:24,440 Speaker 1: dose like two milligram, right, but only for people over 233 00:13:24,559 --> 00:13:27,640 Speaker 1: fifty five. Like Australia, you can't get anything. It's like 234 00:13:28,000 --> 00:13:31,920 Speaker 1: you need a prescription for fucking milk over here, like everything. 235 00:13:32,960 --> 00:13:36,960 Speaker 1: It is the most lockdown fucking country in the world 236 00:13:37,000 --> 00:13:41,000 Speaker 1: with everything. Yeah yeah, yeah, so yeah, you need a 237 00:13:41,040 --> 00:13:45,920 Speaker 1: prescription in Australia house. Is that Why do you think 238 00:13:45,960 --> 00:13:48,720 Speaker 1: that is? Like? Is that there's no need for that? 239 00:13:48,880 --> 00:13:52,640 Speaker 2: Right? And I couldn't speak to why it is there. 240 00:13:52,840 --> 00:13:56,240 Speaker 2: I know we have restrictions on things here because someone 241 00:13:56,960 --> 00:14:01,080 Speaker 2: has an economic interest in that restriction, you know, a 242 00:14:01,080 --> 00:14:05,559 Speaker 2: pharmaceutical company or what have you. Yeah, what about this 243 00:14:05,600 --> 00:14:08,679 Speaker 2: is where are we really free? Are we really free 244 00:14:09,000 --> 00:14:09,480 Speaker 2: to choose? 245 00:14:10,360 --> 00:14:14,320 Speaker 1: Yeah? Yeah, yeah, Well let's not even go back over COVID. 246 00:14:14,360 --> 00:14:14,880 Speaker 1: But you used to. 247 00:14:14,920 --> 00:14:16,640 Speaker 3: I think we touched on it briefly. You should have 248 00:14:16,679 --> 00:14:22,360 Speaker 3: been in Australia. It was crazy, crazy like that. Anyway, 249 00:14:23,720 --> 00:14:26,040 Speaker 3: I wanted to ask you, thank you, thank you for that. 250 00:14:26,360 --> 00:14:29,800 Speaker 3: You mentioned blue blocker glasses. 251 00:14:30,320 --> 00:14:32,120 Speaker 1: I kind of know what they are, but I don't 252 00:14:32,160 --> 00:14:35,000 Speaker 1: totally know what they are. What are they? 253 00:14:34,800 --> 00:14:37,880 Speaker 2: They block out some of the some of the wavelengths 254 00:14:37,920 --> 00:14:41,280 Speaker 2: of light. Usually usually it's the opposite of blue, so 255 00:14:41,320 --> 00:14:44,400 Speaker 2: it's like some of the reds or oranges that stimulate 256 00:14:44,440 --> 00:14:47,240 Speaker 2: the retinet. I think it's seeing the sun because our 257 00:14:47,280 --> 00:14:52,480 Speaker 2: body thinks it's still in daytime. We're still releasing courtisol, 258 00:14:52,560 --> 00:14:56,960 Speaker 2: the daytime stress hormone, when we should be stopping the 259 00:14:57,000 --> 00:15:02,800 Speaker 2: court is all and taking our nighttime hormone response, the 260 00:15:02,880 --> 00:15:08,480 Speaker 2: dark phase hormone, the melatonin. So it helps the body 261 00:15:09,400 --> 00:15:14,080 Speaker 2: not be tricked by all the screens we watch, the 262 00:15:14,480 --> 00:15:17,080 Speaker 2: probably some of the fluorescent lighting and things like that 263 00:15:17,080 --> 00:15:20,280 Speaker 2: that are artificially the sun. 264 00:15:21,480 --> 00:15:28,040 Speaker 1: Yes, yes, in kind of the fitness industry in Australia 265 00:15:28,080 --> 00:15:31,720 Speaker 1: and I'm sure in America and in general chat around 266 00:15:33,120 --> 00:15:36,960 Speaker 1: you know, getting in shape and exercise physiology and blah 267 00:15:37,000 --> 00:15:40,040 Speaker 1: blah blah, people talk a lot about biological age, right, 268 00:15:40,680 --> 00:15:44,080 Speaker 1: and there are a bunch of a bunch of protocols 269 00:15:44,120 --> 00:15:50,640 Speaker 1: that allegedly give a bioage score. I don't think particularly, 270 00:15:50,760 --> 00:15:54,040 Speaker 1: I just want your thoughts on that. Is it possible 271 00:15:54,080 --> 00:16:00,240 Speaker 1: to get an indication of one's biological age? Can head 272 00:16:00,280 --> 00:16:03,680 Speaker 1: to you know, normative data, the all the norm you 273 00:16:03,760 --> 00:16:06,480 Speaker 1: know where we got well, Craig sixty one chronologically, but 274 00:16:06,520 --> 00:16:09,880 Speaker 1: he's got similar physiology to a forty eight year old 275 00:16:09,920 --> 00:16:12,160 Speaker 1: for these reasons, and we did these tests and we 276 00:16:12,240 --> 00:16:17,280 Speaker 1: compare these results. How insightful and valuable and perhaps accurate 277 00:16:17,440 --> 00:16:19,040 Speaker 1: or inaccurate? Do you think that is? 278 00:16:19,960 --> 00:16:22,440 Speaker 2: Yeah, we should unpack this because it actually is a 279 00:16:22,440 --> 00:16:28,240 Speaker 2: great topic. And let's before I answer that, let's rewind 280 00:16:28,280 --> 00:16:32,280 Speaker 2: and explain it. We all age on our calendar on 281 00:16:32,320 --> 00:16:34,160 Speaker 2: our birthday, we know how many years we've been on 282 00:16:34,200 --> 00:16:37,200 Speaker 2: the planet, right, we know that our you know, born 283 00:16:37,280 --> 00:16:39,720 Speaker 2: on date, you know when you turn fifty to sixty. 284 00:16:40,520 --> 00:16:43,520 Speaker 2: But when you start to get into later years, how 285 00:16:43,560 --> 00:16:48,440 Speaker 2: you've lived, how healthy you've been. Generally speaking, you might 286 00:16:48,520 --> 00:16:51,680 Speaker 2: look at two seventy year olds and maybe look like 287 00:16:52,680 --> 00:16:54,840 Speaker 2: if you guess their age, one might look eighty, one 288 00:16:54,920 --> 00:16:58,200 Speaker 2: might look fifty, yes, And the eighty year old might 289 00:16:58,280 --> 00:17:02,560 Speaker 2: be very sedentary lifestyle, may have you know, consume too 290 00:17:02,640 --> 00:17:07,680 Speaker 2: much alcohol and eight preserved food and you know, not 291 00:17:08,160 --> 00:17:11,400 Speaker 2: exercise all those things, whereas the younger looking one might 292 00:17:11,440 --> 00:17:14,400 Speaker 2: have played tennis every day and gone for runs and 293 00:17:15,080 --> 00:17:20,160 Speaker 2: you know eight you know, very organic and healthy foods 294 00:17:20,200 --> 00:17:24,600 Speaker 2: and fasted sometimes and did all the work and it. 295 00:17:25,520 --> 00:17:26,840 Speaker 2: You know, if you look at a couple twenty five 296 00:17:26,880 --> 00:17:28,560 Speaker 2: year olds, you probably wouldn't tell difference, but by the 297 00:17:28,600 --> 00:17:31,200 Speaker 2: time you get sixty seventy, you start to see that difference. 298 00:17:32,080 --> 00:17:35,359 Speaker 2: And those two people are the same age, but physiologically 299 00:17:35,400 --> 00:17:39,520 Speaker 2: slash biologically their cells. If you were to guess the 300 00:17:39,520 --> 00:17:41,560 Speaker 2: age of their cells, you would say, oh, this one's fifty, 301 00:17:41,560 --> 00:17:43,760 Speaker 2: This one's eighty, So there are tests for that. As 302 00:17:43,800 --> 00:17:47,640 Speaker 2: you alluded to, there are a couple different genres of tests. 303 00:17:47,920 --> 00:17:52,200 Speaker 2: One looks at things happening inside the cell, a biological 304 00:17:52,240 --> 00:17:55,760 Speaker 2: age test of cell markers. You can look at changes 305 00:17:55,800 --> 00:18:01,320 Speaker 2: to DNA called methylation, which are so accumulates these barnacles 306 00:18:01,359 --> 00:18:05,000 Speaker 2: on the DNA. And you can look at telomere length, 307 00:18:05,040 --> 00:18:06,840 Speaker 2: which are these you know, loose strands at the end 308 00:18:06,840 --> 00:18:09,040 Speaker 2: of the DNA then indicate how many times the cells 309 00:18:09,040 --> 00:18:13,480 Speaker 2: have divided and what have you. And that's an intracellular measure. 310 00:18:13,480 --> 00:18:15,800 Speaker 2: And they have these sort of you know, you take 311 00:18:15,840 --> 00:18:18,439 Speaker 2: a few of these measures and you you know, you 312 00:18:18,520 --> 00:18:21,960 Speaker 2: weight them in some in some statistical way, and you 313 00:18:22,040 --> 00:18:26,480 Speaker 2: come up with a relative age, meaning you're these patterns 314 00:18:26,520 --> 00:18:29,200 Speaker 2: what we see inside your cells match with a healthy 315 00:18:29,200 --> 00:18:31,600 Speaker 2: forty year old. We've looked at one thousand forty year 316 00:18:31,600 --> 00:18:34,000 Speaker 2: olds and you missed for sixty year old look like 317 00:18:34,000 --> 00:18:36,640 Speaker 2: a forty year old. So they're compared to these sort 318 00:18:36,680 --> 00:18:40,120 Speaker 2: of large data sets, if you will, which any good 319 00:18:40,160 --> 00:18:42,879 Speaker 2: pattern recognition system will, which by the way, is the 320 00:18:43,000 --> 00:18:47,240 Speaker 2: entire foundation of AI, so AI will have to roll. Yeah. 321 00:18:47,359 --> 00:18:51,560 Speaker 2: The other set of tests look at changes in the bloodstream, 322 00:18:52,480 --> 00:18:56,399 Speaker 2: and they look at how antibodies collect different types of 323 00:18:56,440 --> 00:19:00,240 Speaker 2: sugar molecules through a pot process called glycostelation. And these 324 00:19:00,280 --> 00:19:04,200 Speaker 2: are glcnts. They're you know, like like the word glucose, 325 00:19:04,280 --> 00:19:07,240 Speaker 2: you hear gluck or glycan. These are sugar. So your 326 00:19:07,240 --> 00:19:10,199 Speaker 2: antibodies collect sugars in a known pattern. That's compared to 327 00:19:10,240 --> 00:19:12,200 Speaker 2: a data set. And we have very big data sets 328 00:19:12,320 --> 00:19:15,760 Speaker 2: on those two and we had we had a guest 329 00:19:15,760 --> 00:19:18,640 Speaker 2: here recently who who is involved in one of those tests, 330 00:19:18,720 --> 00:19:21,359 Speaker 2: and they and I said, hey, you know, Americans are 331 00:19:21,400 --> 00:19:24,720 Speaker 2: so unhealthy. How do you compare the data sets in 332 00:19:24,760 --> 00:19:29,439 Speaker 2: Europe for America? And they said, Europeans look healthier physiologically, 333 00:19:29,480 --> 00:19:31,720 Speaker 2: Like if you took the average seven year old European 334 00:19:32,280 --> 00:19:36,160 Speaker 2: compared to the seven year American, the Europeans are healthier 335 00:19:36,200 --> 00:19:40,600 Speaker 2: living because they have more restricted preservatives, more restricted red dyes, 336 00:19:40,600 --> 00:19:42,760 Speaker 2: and all these things which now in America, we're trying 337 00:19:42,760 --> 00:19:44,800 Speaker 2: to catch up with the rest of the intelligent world, 338 00:19:45,720 --> 00:19:50,000 Speaker 2: and back to our government, they're helping. We hope that 339 00:19:50,080 --> 00:19:51,760 Speaker 2: new shakeup helps us get there. 340 00:19:53,160 --> 00:19:57,320 Speaker 1: Do you think the mic America healthy guy RFKI kind 341 00:19:57,320 --> 00:20:01,359 Speaker 1: of driven? Is that a ZIV do you think that's real? 342 00:20:01,440 --> 00:20:05,560 Speaker 1: It seems real, like, hey, seem's very very genuine. I 343 00:20:05,560 --> 00:20:07,800 Speaker 1: mean again, And there are people coming out gown he's 344 00:20:07,800 --> 00:20:09,880 Speaker 1: a fucking idiot, And then there are other people going 345 00:20:10,000 --> 00:20:12,760 Speaker 1: he's Jesus, like, thank god he's here. 346 00:20:14,560 --> 00:20:16,000 Speaker 2: I don't think he's an idiot. I don't think he's 347 00:20:16,000 --> 00:20:20,159 Speaker 2: also Messiah material. But I think that we needed to 348 00:20:20,200 --> 00:20:22,080 Speaker 2: shake up. We need to relook at data. We need 349 00:20:22,080 --> 00:20:25,240 Speaker 2: to look at data more intelligently. There's so much published 350 00:20:25,280 --> 00:20:27,879 Speaker 2: papers in medicine that are fifty years old that we 351 00:20:27,960 --> 00:20:31,880 Speaker 2: rely on that we were crap or were the best 352 00:20:31,960 --> 00:20:36,040 Speaker 2: at the time. But now we have new, better data, 353 00:20:36,200 --> 00:20:38,120 Speaker 2: we might change our mind on things like the whole 354 00:20:38,119 --> 00:20:41,960 Speaker 2: thing with women and receiving hormone replacement. You know there 355 00:20:42,000 --> 00:20:44,359 Speaker 2: was this big risk of breast cancer. Turns out we 356 00:20:44,359 --> 00:20:48,760 Speaker 2: were on yes. Yes, So we need to shake it 357 00:20:48,840 --> 00:20:50,720 Speaker 2: up and look at things. I think this is going 358 00:20:50,760 --> 00:20:53,800 Speaker 2: to be good. I think we are going to become healthier. 359 00:20:53,800 --> 00:20:55,439 Speaker 2: We need to change what's in our food and in 360 00:20:55,480 --> 00:20:59,240 Speaker 2: our water and give people a choice. You can still, 361 00:20:59,480 --> 00:21:01,639 Speaker 2: like you said, my boss likes McDonald's. Do you have 362 00:21:01,720 --> 00:21:03,440 Speaker 2: McDonald's in Australia? 363 00:21:04,320 --> 00:21:07,159 Speaker 1: Do we have McDonald's in the woods. 364 00:21:07,760 --> 00:21:11,120 Speaker 2: Yeah, well yes, and then they end up at McDonald's. 365 00:21:11,320 --> 00:21:15,520 Speaker 2: So so you know, you know, President Trump likes the 366 00:21:15,640 --> 00:21:19,040 Speaker 2: likes as McDonald's meal, right, So, and Robert F. Kennedy says, 367 00:21:19,680 --> 00:21:23,399 Speaker 2: you should have that choice. But the problem is the 368 00:21:23,440 --> 00:21:27,760 Speaker 2: cost of healthcare in America is a growing percentage of 369 00:21:27,800 --> 00:21:31,840 Speaker 2: the of the gross national product, and it's hard to 370 00:21:33,080 --> 00:21:37,200 Speaker 2: you know, offer that to people when what's happening is 371 00:21:37,240 --> 00:21:39,640 Speaker 2: it's becoming so watered down and horrible because we can't 372 00:21:39,640 --> 00:21:42,960 Speaker 2: afford it. And one of the reasons is we're poisoning 373 00:21:43,040 --> 00:21:47,560 Speaker 2: people by our food. We're actually causing the problem. So 374 00:21:47,960 --> 00:21:50,480 Speaker 2: first of all, we need to stop causing the problem preventively. 375 00:21:50,520 --> 00:21:54,240 Speaker 2: That's going to save us tons of money downstream and 376 00:21:54,359 --> 00:21:56,920 Speaker 2: then be able to help people with real problems who 377 00:21:56,960 --> 00:22:00,439 Speaker 2: didn't who didn't deserve it, or wasn't self influted or government. 378 00:22:00,520 --> 00:22:07,119 Speaker 1: And I'm just looking here the leading causes of death 379 00:22:07,160 --> 00:22:12,680 Speaker 1: in the US, UH one hot disease to cancer. What 380 00:22:12,680 --> 00:22:17,840 Speaker 1: what's your guess for three trauma medical eras? 381 00:22:23,280 --> 00:22:26,359 Speaker 2: I okay, that's that's check. 382 00:22:26,440 --> 00:22:27,480 Speaker 1: That's check jp T. 383 00:22:27,680 --> 00:22:30,359 Speaker 2: I don't know if that's that's I'm sure there's a 384 00:22:30,400 --> 00:22:33,800 Speaker 2: statistic and that's not incorrect. But you know, here, here's 385 00:22:33,840 --> 00:22:37,320 Speaker 2: what I want to say about that. Yeah, what's happened 386 00:22:37,359 --> 00:22:40,359 Speaker 2: in America because there's so there's so few health dollars 387 00:22:40,359 --> 00:22:44,560 Speaker 2: per patient. Is that a typical doctor visit from an 388 00:22:44,600 --> 00:22:48,080 Speaker 2: institutionalized doctor meetings, someone getting paid by the government or 389 00:22:48,080 --> 00:22:50,560 Speaker 2: a health plan which is basically government at the end 390 00:22:50,560 --> 00:22:53,040 Speaker 2: of the day has five or ten with the patient. 391 00:22:53,480 --> 00:22:56,000 Speaker 2: So they're going to miss stuff. So that's the error. 392 00:22:56,600 --> 00:22:59,479 Speaker 2: So when I see a new consultation like today this morning. 393 00:23:00,880 --> 00:23:03,600 Speaker 2: By the way, here it's still it's still our Thursday. 394 00:23:03,640 --> 00:23:07,800 Speaker 2: So this Thursday morning, I saw a consultation for someone 395 00:23:07,840 --> 00:23:11,520 Speaker 2: with a spine problem. Because it's historically, I still do 396 00:23:11,560 --> 00:23:15,400 Speaker 2: that it was a ninety minute encounter. I don't want 397 00:23:15,400 --> 00:23:21,080 Speaker 2: to miss anything, so I now don't I don't you know, 398 00:23:21,280 --> 00:23:23,280 Speaker 2: go through the insurance side of things, because they don't 399 00:23:23,320 --> 00:23:27,320 Speaker 2: ensure anything. So you know, medical errors happen because you 400 00:23:27,320 --> 00:23:29,399 Speaker 2: don't ask enough questions, you don't spend enough time, you 401 00:23:29,400 --> 00:23:32,560 Speaker 2: don't listen to the patient, and you prescribe too much, 402 00:23:32,720 --> 00:23:35,879 Speaker 2: prescribe too many medications, or do surgery too early. So 403 00:23:36,680 --> 00:23:38,760 Speaker 2: maybe I do believe with that stat I do see 404 00:23:38,800 --> 00:23:42,000 Speaker 2: a lot of that. I'm very critical of those kool 405 00:23:42,000 --> 00:23:45,600 Speaker 2: aid drinking, tail wagging the dog physicians, and there's so 406 00:23:45,680 --> 00:23:49,080 Speaker 2: many of them now and it's just disgusting. 407 00:23:50,440 --> 00:23:56,560 Speaker 1: So if chronological iiging is the constant and biological iges 408 00:23:56,600 --> 00:24:01,520 Speaker 1: are variable, that we can influence everybody's now everybody's now 409 00:24:01,600 --> 00:24:03,560 Speaker 1: sitting up and I know we've gone through a bit, 410 00:24:03,600 --> 00:24:06,200 Speaker 1: but maybe some stuff that we haven't talked about. 411 00:24:05,920 --> 00:24:06,080 Speaker 4: But. 412 00:24:07,640 --> 00:24:11,480 Speaker 1: So you know, and health span and lifespan the relationship 413 00:24:11,520 --> 00:24:14,399 Speaker 1: between that, and you know they're in Australia anyway. There 414 00:24:14,400 --> 00:24:18,520 Speaker 1: are people living longer but not healthier, that is for sure, right, 415 00:24:19,720 --> 00:24:24,359 Speaker 1: And you're right there are people who there are people 416 00:24:24,400 --> 00:24:27,280 Speaker 1: who are seventy who look fifty and people who are 417 00:24:27,320 --> 00:24:30,120 Speaker 1: seventy who look like they're going to die on Tuesday. Right, 418 00:24:30,280 --> 00:24:35,600 Speaker 1: So it's it's that there's not necessarily a parallel between 419 00:24:35,880 --> 00:24:42,840 Speaker 1: biological and chronological aging. So what can we do? What 420 00:24:42,880 --> 00:24:45,439 Speaker 1: can we do that's not going to cost a million bucks? 421 00:24:45,480 --> 00:24:48,680 Speaker 1: That are simple things that I mean you've already mentioned. 422 00:24:49,200 --> 00:24:54,320 Speaker 1: So we're going to go through the big ones. Exercise, food, lifestyle, sleep, Right, 423 00:24:54,440 --> 00:24:56,399 Speaker 1: is there do you want to be more specific in 424 00:24:56,480 --> 00:24:58,760 Speaker 1: that or are there other things as well that we're 425 00:24:58,760 --> 00:24:59,600 Speaker 1: not thinking about. 426 00:25:00,600 --> 00:25:02,840 Speaker 2: We can Yeah, So when I sit down, when I 427 00:25:02,840 --> 00:25:05,000 Speaker 2: sit down with an anti aging client for the first time, 428 00:25:05,080 --> 00:25:07,760 Speaker 2: we talk about, okay, diet, what are you eating, what 429 00:25:07,880 --> 00:25:10,239 Speaker 2: are you eating it? What are your macro breakdown? How 430 00:25:10,280 --> 00:25:14,240 Speaker 2: much protein? Is it good protein? We look at you know, 431 00:25:14,280 --> 00:25:17,320 Speaker 2: their phyto nutrients, fruits and vegetables. We look at their biome. 432 00:25:17,400 --> 00:25:21,280 Speaker 2: Are you getting robiotics? We look at supplementation for gaps 433 00:25:21,280 --> 00:25:23,560 Speaker 2: in the diet. Now in Australia, it sounds like you 434 00:25:23,600 --> 00:25:25,919 Speaker 2: have some restrictions and what you can get in the 435 00:25:25,920 --> 00:25:30,119 Speaker 2: supplement side of things, But I personally take a pretty 436 00:25:31,160 --> 00:25:32,840 Speaker 2: good amount of supplements. I don't know if I've ever 437 00:25:32,880 --> 00:25:35,840 Speaker 2: showed this to you. This is my prepackaged day pack 438 00:25:36,000 --> 00:25:39,800 Speaker 2: of supplements for lunch, I mean with lunch, not for lunch, 439 00:25:40,640 --> 00:25:43,320 Speaker 2: and I take quite a few because I'm just not 440 00:25:43,359 --> 00:25:45,399 Speaker 2: getting these in my diet right. This is this is 441 00:25:45,440 --> 00:25:47,520 Speaker 2: making up. This is making up for that. And then 442 00:25:47,560 --> 00:25:49,720 Speaker 2: we look at their exercise are you are you exercising, 443 00:25:49,720 --> 00:25:52,480 Speaker 2: are you getting the right exercise? Is it effective? What's 444 00:25:52,480 --> 00:25:55,800 Speaker 2: your body composition? Do we need to change something? Do 445 00:25:55,840 --> 00:25:57,960 Speaker 2: you need peptides. Do you need help with weight loss? 446 00:25:58,200 --> 00:26:01,280 Speaker 2: You know, we love the GLP one agonists for that. 447 00:26:01,400 --> 00:26:04,280 Speaker 2: It's a peptide which is also known here in the 448 00:26:04,280 --> 00:26:08,080 Speaker 2: States as ozebic or some glue tide or other one 449 00:26:08,080 --> 00:26:13,600 Speaker 2: of trzeppetide, monduro or or what gov okay, and there 450 00:26:13,600 --> 00:26:15,840 Speaker 2: are other ones in Europe. They have read a true 451 00:26:15,920 --> 00:26:21,240 Speaker 2: tide which we should have soon. And then we look 452 00:26:21,240 --> 00:26:23,320 Speaker 2: at sleep. As I noticed and we mentioned that earlier. 453 00:26:23,359 --> 00:26:25,400 Speaker 2: How do you go about it? What's your ritual? What's 454 00:26:25,400 --> 00:26:27,960 Speaker 2: your wearable tech? Do you know your heart rate variability? 455 00:26:27,960 --> 00:26:30,360 Speaker 2: Do you know your VIA two max? How long can 456 00:26:30,400 --> 00:26:32,120 Speaker 2: you how many pull ups can you do? How long 457 00:26:32,160 --> 00:26:33,479 Speaker 2: can you hang from a chin up? 458 00:26:33,520 --> 00:26:33,760 Speaker 1: Bard? 459 00:26:34,080 --> 00:26:39,320 Speaker 2: You know, maybe we look at stress, mental stress, neurostress. 460 00:26:39,840 --> 00:26:43,720 Speaker 2: You know, what steps are you taking if you if 461 00:26:43,720 --> 00:26:46,359 Speaker 2: you if you're a workaholic, you know, uh, and you 462 00:26:46,400 --> 00:26:49,480 Speaker 2: need to do that. What steps are you taking to recover? 463 00:26:50,000 --> 00:26:52,000 Speaker 2: To rest your brain? The brain needs rest just like 464 00:26:52,000 --> 00:26:57,760 Speaker 2: a muscle. And then we look at you know, even 465 00:26:57,840 --> 00:27:00,919 Speaker 2: even things such as social interactions. You are you alone? 466 00:27:01,720 --> 00:27:02,000 Speaker 1: Uh? 467 00:27:02,040 --> 00:27:05,119 Speaker 2: You know who's in your life? How is that? And 468 00:27:05,119 --> 00:27:07,280 Speaker 2: and then we were gone from there. You know, if 469 00:27:07,280 --> 00:27:09,880 Speaker 2: we're not moving the needle forward. Because we have patients 470 00:27:10,160 --> 00:27:12,359 Speaker 2: we've looked at their biological age and it was older 471 00:27:12,400 --> 00:27:15,080 Speaker 2: than their actual calendar age, and we have made changes 472 00:27:15,119 --> 00:27:18,000 Speaker 2: and moved that biological age because you can measure again 473 00:27:18,680 --> 00:27:22,320 Speaker 2: and moved it down. So you, like you said, it 474 00:27:22,359 --> 00:27:26,480 Speaker 2: is inducible, it is movable. That's called epigenetics, right, because 475 00:27:26,520 --> 00:27:29,920 Speaker 2: you're not changing genetics, we're changing what genes are called upon. 476 00:27:30,000 --> 00:27:34,560 Speaker 2: That's the field of epigenetics. Some people we we add 477 00:27:34,560 --> 00:27:38,320 Speaker 2: regenerative medicine. We had stem cell based products and things 478 00:27:38,320 --> 00:27:42,320 Speaker 2: to help slow and suppress their inflammatory burden. Because remember, 479 00:27:42,359 --> 00:27:47,879 Speaker 2: aging is inflament. Is inflament is chronic inflammation accumulated. We're inflammaging. 480 00:27:48,680 --> 00:27:52,800 Speaker 1: I was talking yesterday doctor a BLI like cole them 481 00:27:52,800 --> 00:27:57,399 Speaker 1: I behead likes a BLI like, yeah, I want you 482 00:27:57,440 --> 00:28:03,840 Speaker 1: to stop waving that into your uh, you know, your conversations. Bloke, Yes, 483 00:28:04,400 --> 00:28:06,520 Speaker 1: I was talking about I was doing it. Take note. 484 00:28:06,640 --> 00:28:09,199 Speaker 1: So I was talking to a bloke who has a 485 00:28:09,240 --> 00:28:12,119 Speaker 1: really good job in that it pays him lots to do, 486 00:28:13,080 --> 00:28:16,879 Speaker 1: but he hates it, right, he hates it. So not 487 00:28:16,920 --> 00:28:18,920 Speaker 1: a not a good job in a way, A good 488 00:28:19,000 --> 00:28:21,640 Speaker 1: job in a way, A terrible job. And we were 489 00:28:21,920 --> 00:28:25,000 Speaker 1: and I wasn't consulting him. We were just having a 490 00:28:25,040 --> 00:28:29,560 Speaker 1: coffee and he said, don't. He was asking me about 491 00:28:29,760 --> 00:28:32,040 Speaker 1: you know, how burnt out I get because I work 492 00:28:32,080 --> 00:28:35,199 Speaker 1: a lot, a lot, a lot, but none of my 493 00:28:35,600 --> 00:28:39,000 Speaker 1: like right now I'm working. There's nothing about this experience 494 00:28:39,040 --> 00:28:42,840 Speaker 1: that I'm having that to me feels like work, because 495 00:28:43,720 --> 00:28:47,320 Speaker 1: this is this is genuinely fun. You're interesting. I like you, 496 00:28:47,480 --> 00:28:51,320 Speaker 1: I'm learning. There's nothing negative about this for me. And 497 00:28:51,440 --> 00:28:53,760 Speaker 1: most of the things, like the hardest thing that I do, 498 00:28:54,040 --> 00:28:57,040 Speaker 1: which is not that hard, has just research that requires 499 00:28:57,080 --> 00:28:59,920 Speaker 1: fair bit of cognitive load, and you know, all our 500 00:29:00,160 --> 00:29:04,040 Speaker 1: kind of stuff, but the impact because we spend so 501 00:29:04,120 --> 00:29:07,280 Speaker 1: much of our life working. You know, in corporate they 502 00:29:07,280 --> 00:29:09,880 Speaker 1: talk about work life balance. When I'm presenting, I talk 503 00:29:09,920 --> 00:29:13,920 Speaker 1: about work impact. So not necessarily how many hours you 504 00:29:13,960 --> 00:29:16,720 Speaker 1: do versus how many hours you don't do. That kind 505 00:29:16,760 --> 00:29:20,160 Speaker 1: of seesaw balance thing, but rather like you might have 506 00:29:20,200 --> 00:29:22,280 Speaker 1: a job that's only twenty hours a week, but it's 507 00:29:22,360 --> 00:29:25,720 Speaker 1: killing you versus someone who does sixty hours a week, 508 00:29:26,000 --> 00:29:28,080 Speaker 1: and it's actually going to make you live longer because 509 00:29:28,080 --> 00:29:29,800 Speaker 1: it just is such a positive. 510 00:29:30,680 --> 00:29:34,000 Speaker 2: Yeah, I agree with you. A million times over it. 511 00:29:34,040 --> 00:29:36,160 Speaker 2: By the way, I enjoy this too. This is fun 512 00:29:36,200 --> 00:29:41,720 Speaker 2: for me. I'm going to say this, You're probably now 513 00:29:41,840 --> 00:29:45,640 Speaker 2: my favorite bloke in Australia. How I do thank you? 514 00:29:45,760 --> 00:29:47,960 Speaker 2: I mean thank you. I like you Jackman. I really 515 00:29:48,000 --> 00:29:50,160 Speaker 2: like you Jackman. But I don't know him, so I 516 00:29:50,280 --> 00:29:52,200 Speaker 2: know you. So I'm going to say you're the favorite 517 00:29:52,240 --> 00:29:52,840 Speaker 2: bloke I know. 518 00:29:53,600 --> 00:29:57,400 Speaker 1: Thanks dude, No, I like it. Yeah, so have all 519 00:29:57,440 --> 00:29:59,240 Speaker 1: the blokes that you know. I'm one. 520 00:30:00,280 --> 00:30:03,880 Speaker 2: Yeah, so you've You've risen to the top quite quickly, 521 00:30:03,920 --> 00:30:05,760 Speaker 2: I might say. But I agree with you. I enjoyed 522 00:30:05,760 --> 00:30:08,240 Speaker 2: this too, and and I get it. Some people have these, 523 00:30:08,320 --> 00:30:10,920 Speaker 2: you know, horrible jobs and but it pays them well 524 00:30:10,960 --> 00:30:12,840 Speaker 2: and they need to do it. They've got a family whatever, 525 00:30:13,280 --> 00:30:15,760 Speaker 2: so they they there are there are ways to, you know, 526 00:30:15,880 --> 00:30:18,600 Speaker 2: play around there. And my one of my favorite books 527 00:30:19,480 --> 00:30:23,160 Speaker 2: do you read? Yeah, Okay, I don't, But my favorite 528 00:30:23,160 --> 00:30:23,960 Speaker 2: book is. 529 00:30:26,040 --> 00:30:29,200 Speaker 1: If I'm honest, I listen more than our raid Now yeah. 530 00:30:29,120 --> 00:30:32,000 Speaker 2: The same same. Yeah, I'm lazy. So my one of 531 00:30:32,000 --> 00:30:34,720 Speaker 2: my favorite ones is The four Hour work Week by 532 00:30:34,720 --> 00:30:40,480 Speaker 2: Tim Ferris. Tim Ferris, Yes, automating and outsourcing some of 533 00:30:40,520 --> 00:30:45,520 Speaker 2: your job, Yes, the extent you can, and so you're 534 00:30:45,520 --> 00:30:47,680 Speaker 2: at least you could find ways to be a little 535 00:30:47,760 --> 00:30:52,440 Speaker 2: less miserable or make it fun or or what have you. So, 536 00:30:52,640 --> 00:30:55,040 Speaker 2: I mean, if you're stuck in it and you're not 537 00:30:55,120 --> 00:30:58,000 Speaker 2: looking to improve upon it, then that's that's just a 538 00:30:58,040 --> 00:31:00,840 Speaker 2: behavioral You know, you got some and shoes on. You've 539 00:31:00,840 --> 00:31:04,480 Speaker 2: got to do something about it. Yeah, but you know 540 00:31:05,120 --> 00:31:06,600 Speaker 2: you ask why do you hate it? Well, I hate 541 00:31:06,600 --> 00:31:08,200 Speaker 2: my boss. I like what I do. I hate it 542 00:31:08,240 --> 00:31:10,520 Speaker 2: may be something like that, a toxic people around me, 543 00:31:10,720 --> 00:31:12,920 Speaker 2: or I just I feel horrible. You know, I'm selling 544 00:31:12,920 --> 00:31:17,120 Speaker 2: poison or whatever. Yeah. Yeah, we make nuclear bombs. You know, 545 00:31:17,360 --> 00:31:18,400 Speaker 2: it just doesn't feel good. 546 00:31:19,320 --> 00:31:23,320 Speaker 1: It doesn't fit with my moral compass, but it pays well. Yeah, 547 00:31:23,600 --> 00:31:29,760 Speaker 1: thanks thanks mister Oppenheimer. The cafes through there, Yeah, I know, 548 00:31:29,960 --> 00:31:34,040 Speaker 1: it's uh Like one of the things I wanted to 549 00:31:34,120 --> 00:31:38,960 Speaker 1: chat to you about today is the the reluctance that 550 00:31:38,960 --> 00:31:43,560 Speaker 1: that some people in you know, science and medicine and 551 00:31:43,600 --> 00:31:48,080 Speaker 1: a million fields for that matter, but have to the 552 00:31:48,120 --> 00:31:51,560 Speaker 1: reluctance They have to say, oh I was wrong or 553 00:31:53,000 --> 00:31:58,360 Speaker 1: I don't know, Like since I started in exercise science 554 00:31:58,440 --> 00:32:02,200 Speaker 1: forty years ago, I've changed my mind about half of 555 00:32:02,280 --> 00:32:05,160 Speaker 1: things right. It's like there were so many things I 556 00:32:05,240 --> 00:32:07,320 Speaker 1: used to think or do or teach or advocate that 557 00:32:07,400 --> 00:32:11,200 Speaker 1: I don't anymore, and so many things I thought I 558 00:32:11,240 --> 00:32:14,520 Speaker 1: had right that I had wrong. So now even when 559 00:32:14,520 --> 00:32:16,920 Speaker 1: someone says to me, you know, what do you think 560 00:32:16,960 --> 00:32:19,040 Speaker 1: about this or that? Or what's your thoughts or beliefs, 561 00:32:19,120 --> 00:32:21,120 Speaker 1: or I go, look, this is what I think about that, 562 00:32:21,240 --> 00:32:23,800 Speaker 1: but I don't know. But this is what I think 563 00:32:23,840 --> 00:32:27,480 Speaker 1: and why. But I don't have absolute evidence on that 564 00:32:28,760 --> 00:32:31,360 Speaker 1: or I think this, but I could be wrong, So 565 00:32:31,520 --> 00:32:36,080 Speaker 1: stand by because I've been wrong a lot. Why are 566 00:32:36,200 --> 00:32:39,960 Speaker 1: people so reluctant in some spaces to go fuck? I 567 00:32:39,960 --> 00:32:43,200 Speaker 1: don't know? Or actually I thought this, but then I 568 00:32:43,280 --> 00:32:45,600 Speaker 1: spoke to Jeff, and now I think that. 569 00:32:48,640 --> 00:32:53,000 Speaker 2: I think it's hard to some people cannot find they're 570 00:32:53,040 --> 00:32:57,800 Speaker 2: wrong in their and their opinion or their actions because 571 00:32:57,840 --> 00:33:01,520 Speaker 2: it's a painful hit to their ego. I don't want 572 00:33:01,520 --> 00:33:04,480 Speaker 2: to sound like Sigwyn Freud, but I think I just yeah, 573 00:33:05,480 --> 00:33:08,520 Speaker 2: I think it's hard to say that. And you you 574 00:33:09,000 --> 00:33:11,160 Speaker 2: show yourself. And one of the reasons I think we 575 00:33:11,200 --> 00:33:14,360 Speaker 2: get along and you're so affable is is you know 576 00:33:14,400 --> 00:33:16,960 Speaker 2: you don't you don't you don't take yourself so seriously 577 00:33:17,040 --> 00:33:19,720 Speaker 2: that you have to be right about everything, and that 578 00:33:19,720 --> 00:33:21,240 Speaker 2: that makes you the kind of person you want to 579 00:33:21,280 --> 00:33:26,120 Speaker 2: talk to and hang out with, and and and so, uh, 580 00:33:26,200 --> 00:33:28,160 Speaker 2: you know, it's hard, and I appreciate that you can 581 00:33:28,240 --> 00:33:31,000 Speaker 2: change your mind. And and I think when I when 582 00:33:31,040 --> 00:33:33,520 Speaker 2: I went into regenerative medicine, I had to sort of 583 00:33:33,520 --> 00:33:36,920 Speaker 2: relearn a whole set of things that were forced upon 584 00:33:37,040 --> 00:33:40,520 Speaker 2: me in medical school, in residency. And those things may 585 00:33:40,560 --> 00:33:43,840 Speaker 2: have been right at one time, but they're not right anymore. Yeah. 586 00:33:44,360 --> 00:33:46,920 Speaker 1: Yeah, well they were believed to be right, but now 587 00:33:46,960 --> 00:33:49,720 Speaker 1: we you know, it's like the food pyramid. It's like, 588 00:33:50,760 --> 00:33:53,160 Speaker 1: you know, men could never run a four minute mile, 589 00:33:53,320 --> 00:33:56,760 Speaker 1: that's science. It's like, well that didn't work out, you know, 590 00:33:57,040 --> 00:34:00,640 Speaker 1: or yeah, I don't, I don't know. I just think 591 00:34:00,680 --> 00:34:03,960 Speaker 1: it's I think it's also needing to be right. That's 592 00:34:03,960 --> 00:34:08,400 Speaker 1: got to be fucking exhausting, doesn't it. 593 00:34:08,400 --> 00:34:12,960 Speaker 2: It probably does, And I would admit I probably had 594 00:34:13,000 --> 00:34:20,560 Speaker 2: periods of that, and it doesn't You can end up lonely. Yeah, yeah, 595 00:34:20,600 --> 00:34:23,640 Speaker 2: that's one way to meet people not want to hang 596 00:34:23,640 --> 00:34:24,000 Speaker 2: out with you. 597 00:34:25,200 --> 00:34:28,440 Speaker 1: Yeah, And isn't it interesting like that people don't understand 598 00:34:29,320 --> 00:34:33,399 Speaker 1: how socially repellent that is, you know, And also it's like, dude, 599 00:34:34,000 --> 00:34:36,879 Speaker 1: do you have no awareness like this is even though 600 00:34:36,920 --> 00:34:39,960 Speaker 1: you might think that, maybe just keep that to yourself 601 00:34:40,000 --> 00:34:42,520 Speaker 1: for a minute. All right, let's talk about something totally different. 602 00:34:43,400 --> 00:34:47,359 Speaker 1: Let's talk about hot and cold for the body. Like 603 00:34:47,400 --> 00:34:54,480 Speaker 1: what are your like, cry oh, cold showers, fucking ice bars, saunas, like, 604 00:34:54,800 --> 00:34:57,120 Speaker 1: tell us about that stuff and where you sit with that. 605 00:34:58,200 --> 00:35:01,360 Speaker 2: Yeah. So I'm a huge fan of ormesis and I 606 00:35:01,400 --> 00:35:03,640 Speaker 2: don't know if we've talked about that together previously, but 607 00:35:04,760 --> 00:35:09,480 Speaker 2: for those listeners, hormesis is a slight stress on the body, 608 00:35:09,520 --> 00:35:11,919 Speaker 2: and it sells to build resilience in the long run. 609 00:35:12,520 --> 00:35:12,719 Speaker 1: Yeah. 610 00:35:12,800 --> 00:35:19,640 Speaker 2: Examples. Examples would be hot sauna, cold plunge, high intense exercise, fasting, 611 00:35:20,080 --> 00:35:23,879 Speaker 2: interritten fasting, and actual structural fast one day, three day, 612 00:35:23,880 --> 00:35:27,560 Speaker 2: five day, what have you. Some people might consider low 613 00:35:27,640 --> 00:35:33,120 Speaker 2: oxygen like high altitude or hormesis as well. So I'm 614 00:35:33,160 --> 00:35:37,239 Speaker 2: a big fan of hormesis. I love hot sauna. I 615 00:35:37,320 --> 00:35:40,959 Speaker 2: don't dislove cold plunges. I just find them cold. 616 00:35:41,480 --> 00:35:47,399 Speaker 4: Yeah, wow, you've done your research. Yeah, yeah, that's why 617 00:35:47,440 --> 00:35:51,520 Speaker 4: we buy you the big box exactly, which sauna stain 618 00:35:51,680 --> 00:35:53,240 Speaker 4: or infrared or something else. 619 00:35:53,760 --> 00:35:57,319 Speaker 2: So listen. I'm a fan of infrared or red light 620 00:35:57,400 --> 00:36:00,160 Speaker 2: therapy for anti inflammation, but the infrared SNAs don't get 621 00:36:00,200 --> 00:36:03,240 Speaker 2: hot enough. So I like a traditional, you know, finish 622 00:36:03,440 --> 00:36:07,480 Speaker 2: style sauna, which is usually a rye. You know, it's 623 00:36:07,560 --> 00:36:10,279 Speaker 2: usually electric heater with the rocks. It doesn't have to 624 00:36:10,320 --> 00:36:11,879 Speaker 2: be steam. It could be steam or not. I don't 625 00:36:12,160 --> 00:36:13,440 Speaker 2: think it matters. But it has to get up to 626 00:36:13,440 --> 00:36:17,239 Speaker 2: one hundred and seventy five degrees plus fahrenheit. I don't 627 00:36:17,280 --> 00:36:20,600 Speaker 2: know what that is in uh in intelligent world metrics, 628 00:36:21,440 --> 00:36:25,360 Speaker 2: but the and you're supposed to be in there for 629 00:36:26,360 --> 00:36:28,440 Speaker 2: you know, twenty twenty five minutes. You work up to 630 00:36:28,520 --> 00:36:32,240 Speaker 2: that five days a week, and then the health benefits 631 00:36:32,280 --> 00:36:35,040 Speaker 2: are amazing. So I'm a big fan of that. Uh. 632 00:36:35,320 --> 00:36:38,839 Speaker 2: We're thinking about putting one in the house as part 633 00:36:38,880 --> 00:36:40,799 Speaker 2: of a remodel. Right now. I have to go to 634 00:36:40,840 --> 00:36:43,400 Speaker 2: the the sports club, the gym to do it. 635 00:36:44,239 --> 00:36:48,239 Speaker 1: Yeah, I'm just figuring out what one's seventy five in 636 00:36:48,360 --> 00:36:55,240 Speaker 1: celsius is Fucking hell, that's hot. Seventy nine point four Yeah, Yeah, 637 00:36:55,239 --> 00:36:57,280 Speaker 1: that's hot, dude, That's that's wow. 638 00:36:57,680 --> 00:37:01,480 Speaker 2: That's cooking a chicken hot well, and I can do 639 00:37:01,560 --> 00:37:05,000 Speaker 2: twenty twenty five minutes. I don't bring you know, I 640 00:37:05,000 --> 00:37:07,040 Speaker 2: don't bring my phone and my cell phone with me 641 00:37:07,080 --> 00:37:08,640 Speaker 2: because it tends to go on the fritz when I 642 00:37:08,640 --> 00:37:12,359 Speaker 2: get in there. But my Apple Watch will work, so 643 00:37:12,400 --> 00:37:14,640 Speaker 2: I can track the time on my Apple Watch, and 644 00:37:15,480 --> 00:37:17,319 Speaker 2: I'll it's since you. I'll track my heart rate and 645 00:37:17,360 --> 00:37:19,759 Speaker 2: if I get up to one one hundred and forty 646 00:37:19,760 --> 00:37:21,959 Speaker 2: five beats per minute, that's usually twenty twenty five minutes. 647 00:37:22,000 --> 00:37:26,080 Speaker 2: Because it's a cardiov asked to workout, you'd be and heat. 648 00:37:26,080 --> 00:37:28,160 Speaker 2: And the reason the reason for that is do you 649 00:37:28,160 --> 00:37:29,960 Speaker 2: know why? 650 00:37:31,280 --> 00:37:36,960 Speaker 1: Well, because why it's a cardiovascular workout. Yeah, let me 651 00:37:37,000 --> 00:37:41,920 Speaker 1: have a guess. Okay, cardiac drift because blood volume is 652 00:37:41,960 --> 00:37:46,040 Speaker 1: decreasing your sweating, so your heart's got to beat faster 653 00:37:46,560 --> 00:37:49,319 Speaker 1: to deliver the same amount of oxygen blah. So you've 654 00:37:49,320 --> 00:37:51,560 Speaker 1: got yeah, less blood volume. 655 00:37:51,640 --> 00:37:51,880 Speaker 4: Do it. 656 00:37:51,920 --> 00:37:54,239 Speaker 1: And you're trying to get that around the body. 657 00:37:54,800 --> 00:37:56,799 Speaker 2: The body's trying to cool off your eyes. It's and 658 00:37:56,880 --> 00:37:59,320 Speaker 2: to do it. You know, you you've got a sweat, 659 00:37:59,320 --> 00:38:01,640 Speaker 2: so it has to over the blood to the superficial 660 00:38:02,120 --> 00:38:05,080 Speaker 2: small arteries and capillaries in the skin. Just like an 661 00:38:05,080 --> 00:38:08,359 Speaker 2: elephant cools through its ears by you're driving blood through 662 00:38:08,719 --> 00:38:12,640 Speaker 2: blood flowing because you can't cool fast enough. The heart 663 00:38:12,680 --> 00:38:16,680 Speaker 2: has to beat that blood, yeah right, many more times 664 00:38:16,719 --> 00:38:19,680 Speaker 2: per minute through your skin so it can get to 665 00:38:19,719 --> 00:38:22,399 Speaker 2: the surface and you can sweat. So it's a it's 666 00:38:22,440 --> 00:38:25,200 Speaker 2: a it's a metabolgic demand for that purpose of your heart. 667 00:38:25,320 --> 00:38:28,359 Speaker 2: Your has to work harder. You're right, good job. 668 00:38:28,400 --> 00:38:31,200 Speaker 1: What's a kind of and again this is not a 669 00:38:31,200 --> 00:38:34,680 Speaker 1: personal prescription anyone, but broadly speaking, doc a bit of 670 00:38:34,680 --> 00:38:38,600 Speaker 1: a So if I want to start doing sauna, what 671 00:38:38,640 --> 00:38:42,200 Speaker 1: would be a stepping off point for me? Like seven days, 672 00:38:42,239 --> 00:38:47,600 Speaker 1: three days, two minutes, twenty minutes give us the way 673 00:38:47,640 --> 00:38:48,240 Speaker 1: when I start. 674 00:38:48,880 --> 00:38:51,640 Speaker 2: I like to lock in the day the day ritual. 675 00:38:51,680 --> 00:38:52,920 Speaker 2: So if you say I'm going to do five days 676 00:38:52,960 --> 00:38:56,239 Speaker 2: a week Monday through Friday, but I'm going to start 677 00:38:56,280 --> 00:38:58,920 Speaker 2: out with ten minutes, and maybe I'll start out at 678 00:38:58,960 --> 00:39:02,960 Speaker 2: one hundred and sixty five and then maybe each each 679 00:39:03,080 --> 00:39:07,800 Speaker 2: day you add a degree or a minute. Yeah, some progress, 680 00:39:08,160 --> 00:39:09,960 Speaker 2: so so that after a few weeks you can you 681 00:39:10,000 --> 00:39:12,640 Speaker 2: can get to where you need to go. And I 682 00:39:12,760 --> 00:39:15,960 Speaker 2: like to do it in the evening. Then take a 683 00:39:16,040 --> 00:39:20,160 Speaker 2: nice cool shower to cool down. Man, you will sleep better. 684 00:39:20,200 --> 00:39:22,600 Speaker 2: You talk about more restorative sleep. That's a that's a 685 00:39:22,760 --> 00:39:23,719 Speaker 2: that's been huge for me. 686 00:39:25,040 --> 00:39:27,719 Speaker 1: So speaking of cooling down at the other end of 687 00:39:27,760 --> 00:39:32,560 Speaker 1: the temperature spectrum, what what's what's your advice or thoughts 688 00:39:32,560 --> 00:39:35,360 Speaker 1: around the different forms of cold therapy. 689 00:39:36,480 --> 00:39:40,680 Speaker 2: So I don't have that data because I'm I'm I'm not. 690 00:39:40,760 --> 00:39:44,799 Speaker 2: I don't have the aptitude for the cold. So I know, 691 00:39:44,960 --> 00:39:47,440 Speaker 2: I know some people that do contrast therapy to do 692 00:39:47,520 --> 00:39:49,600 Speaker 2: heat than cold. They go from the hasana to the 693 00:39:49,640 --> 00:39:53,640 Speaker 2: cold lunge. So I don't know the metrics. Uh. You know, 694 00:39:53,680 --> 00:39:56,080 Speaker 2: there are a lot of products now you can buy 695 00:39:56,360 --> 00:39:59,560 Speaker 2: called chillers where you can connect it to your own 696 00:39:59,600 --> 00:40:03,799 Speaker 2: bath and create that, or you can buy a whole 697 00:40:03,840 --> 00:40:07,080 Speaker 2: separate device that does it. So I don't know the 698 00:40:07,120 --> 00:40:12,080 Speaker 2: metrics for that. I don't know the right temperatures. I 699 00:40:12,080 --> 00:40:14,680 Speaker 2: don't know how long to be in there. But I 700 00:40:14,719 --> 00:40:18,840 Speaker 2: know that the people I follow that do the deep dives, 701 00:40:18,880 --> 00:40:24,480 Speaker 2: like Huberman and Ronda Patrick, I'm sure I would. That's 702 00:40:24,480 --> 00:40:26,960 Speaker 2: where I would go and research it and listen to 703 00:40:27,000 --> 00:40:27,960 Speaker 2: their podcasts on it. 704 00:40:28,680 --> 00:40:30,839 Speaker 1: You know what's funny is literally I just wrote on 705 00:40:30,880 --> 00:40:33,279 Speaker 1: my pad in front of me, Ronda Patrick, and then 706 00:40:33,719 --> 00:40:37,920 Speaker 1: seven seconds of you went she talks about hate shot proteins. 707 00:40:38,360 --> 00:40:40,480 Speaker 2: Yeah, let's talk about heat shock proteins. 708 00:40:40,480 --> 00:40:44,200 Speaker 1: They're my favorite stought. Yeah cool, So tell she talks 709 00:40:44,239 --> 00:40:47,160 Speaker 1: about that in relations, sonar and a bunch of other things. 710 00:40:47,160 --> 00:40:51,440 Speaker 1: So tell us what that means and how that relates 711 00:40:51,440 --> 00:40:51,799 Speaker 1: to us. 712 00:40:53,400 --> 00:40:56,839 Speaker 2: So can I can I speak to evolution or is that? 713 00:40:57,080 --> 00:41:01,000 Speaker 2: Is that a no? Where you taught evolution and in Australia? 714 00:41:01,040 --> 00:41:03,200 Speaker 1: Okay, well we all know that God created the world 715 00:41:03,200 --> 00:41:05,239 Speaker 1: in seven days, but nonetheless we'll I have a look 716 00:41:05,320 --> 00:41:06,880 Speaker 1: at just for this one conversation. 717 00:41:07,719 --> 00:41:09,440 Speaker 2: Well, I mean it was a long seven days. I 718 00:41:09,440 --> 00:41:10,960 Speaker 2: think the time was a less. 719 00:41:13,680 --> 00:41:14,480 Speaker 1: So if you look at. 720 00:41:14,440 --> 00:41:17,560 Speaker 2: Heat shock protein, particularly like heat shock protein seventy because 721 00:41:17,560 --> 00:41:20,520 Speaker 2: they're more than one heatchock protein, and you go down 722 00:41:20,560 --> 00:41:25,000 Speaker 2: into the more primitive species, including bacteria, you'll find that 723 00:41:25,080 --> 00:41:28,160 Speaker 2: heat chock protein is preserved. The genes that code that 724 00:41:28,320 --> 00:41:37,799 Speaker 2: protein are the same for plants, for bacteria, fish, humans, mice, everybody, 725 00:41:37,840 --> 00:41:41,200 Speaker 2: we all have that same he It's a primitive survival protein. 726 00:41:41,760 --> 00:41:44,680 Speaker 2: And when you take a bacteria and you expose it 727 00:41:44,719 --> 00:41:48,600 Speaker 2: to heat, it releases this in an attempt to survive. 728 00:41:48,680 --> 00:41:53,239 Speaker 2: It's a restorative protein. So we see if you go 729 00:41:53,320 --> 00:41:56,279 Speaker 2: into why is hot sun and healthy because it makes 730 00:41:56,280 --> 00:41:59,120 Speaker 2: you reallyase heat chok proteins. So Ronda Patrick is absolutely right. 731 00:42:00,600 --> 00:42:03,520 Speaker 2: And you know we studied this. It was in our 732 00:42:03,680 --> 00:42:07,359 Speaker 2: college classes in biochemistry. You take bacteria. You see if 733 00:42:07,400 --> 00:42:10,879 Speaker 2: you can cause mutations, and you you expose some heat, 734 00:42:10,920 --> 00:42:13,399 Speaker 2: you release these proteins. Heat shock protein is amazing. Now 735 00:42:13,520 --> 00:42:15,880 Speaker 2: when we do some of the regenitive therapies here in 736 00:42:15,920 --> 00:42:19,240 Speaker 2: the office, stem cell based or stem cell derived signaling 737 00:42:19,280 --> 00:42:23,680 Speaker 2: factors called exosomes, they're chock full of heat chock protein. 738 00:42:23,719 --> 00:42:26,359 Speaker 2: You find it in the amniotic fluid. It is this, 739 00:42:26,960 --> 00:42:30,279 Speaker 2: it is. It is not just because it's released by heat. 740 00:42:30,320 --> 00:42:35,120 Speaker 2: It is a restorative, youthful, survival protein. We love those. 741 00:42:35,200 --> 00:42:37,799 Speaker 2: That's what you give off when you have hormesis. Cold 742 00:42:37,800 --> 00:42:42,920 Speaker 2: plunge gives off heat chok protein too. Yes, so you 743 00:42:44,160 --> 00:42:47,080 Speaker 2: exciting stuff. Now you might say, well, what peptides are 744 00:42:47,120 --> 00:42:49,160 Speaker 2: all around, why don't we just start injecting ourselves with 745 00:42:49,200 --> 00:42:51,480 Speaker 2: this heat chok protein. And my answer is we probably 746 00:42:51,560 --> 00:42:54,400 Speaker 2: will be soon. Do you think. 747 00:42:54,320 --> 00:42:59,719 Speaker 1: They'll jumping around a lot of the place, so we 748 00:42:59,800 --> 00:43:05,480 Speaker 1: know it. We know that testosterone is the dominant male hormone, 749 00:43:05,480 --> 00:43:08,680 Speaker 1: and we also know that you know, it declines as 750 00:43:08,760 --> 00:43:14,799 Speaker 1: do many things with age, and you know this is like, well, 751 00:43:14,840 --> 00:43:17,920 Speaker 1: we don't even mention the word testosterone in Australia because 752 00:43:17,960 --> 00:43:21,760 Speaker 1: oh my god, it's it's you know, like it's it's 753 00:43:22,800 --> 00:43:25,399 Speaker 1: I don't know, it's a taboo conversation. We can talk 754 00:43:25,440 --> 00:43:29,799 Speaker 1: about anti aging and hormone replacement therapy for women, but 755 00:43:29,920 --> 00:43:35,720 Speaker 1: not for men. What's the kind of thinking and current 756 00:43:35,800 --> 00:43:42,680 Speaker 1: status around TRT TRT listeners being testosterone replacement therapy in 757 00:43:42,719 --> 00:43:46,040 Speaker 1: the States? Where's that at? Is that? Is that a thing? 758 00:43:47,200 --> 00:43:49,200 Speaker 2: Yeah? It is. It's a huge thing. Let's talk about 759 00:43:49,840 --> 00:43:52,280 Speaker 2: that because it's very interesting because here in the States 760 00:43:52,280 --> 00:43:57,399 Speaker 2: it's the opposite. Testosterone therapy is well it's not. It's 761 00:43:57,400 --> 00:44:02,880 Speaker 2: a controlled substance, but it's very powerular and you know, 762 00:44:02,920 --> 00:44:07,720 Speaker 2: the women have been held back because of misinformation about 763 00:44:07,800 --> 00:44:10,839 Speaker 2: risk of cancer and stuff, and perhaps for a long 764 00:44:10,880 --> 00:44:14,480 Speaker 2: time the fake estrogens from horse urine and stuff like that. 765 00:44:14,600 --> 00:44:21,160 Speaker 2: The conjugated ones may have been problematic, but the bioidentical, 766 00:44:21,239 --> 00:44:26,359 Speaker 2: the actual hormones we make are anti inflammatory and help 767 00:44:26,480 --> 00:44:30,399 Speaker 2: maintain youthful behavior. If you think about it, women who 768 00:44:30,480 --> 00:44:36,080 Speaker 2: have more children later pregnancies longer cycles into their lives 769 00:44:36,080 --> 00:44:40,880 Speaker 2: before they reach menopause, live longer. It is a longevity 770 00:44:40,960 --> 00:44:46,440 Speaker 2: move for survival. So those estrogens are preservative and interesting 771 00:44:46,600 --> 00:44:49,440 Speaker 2: that you look at women. You know, very few women 772 00:44:49,520 --> 00:44:53,920 Speaker 2: during pregnancy or youth when they're estrogen is surgeon get 773 00:44:53,960 --> 00:44:58,439 Speaker 2: breast cancer. So estrogen can actually be protective against breast cancer. Yes, 774 00:44:58,719 --> 00:45:02,280 Speaker 2: in fact, it's an old tree for breast cancer to 775 00:45:02,360 --> 00:45:05,320 Speaker 2: use high dose estrogen. Now it's it's difficult to tolerate 776 00:45:05,320 --> 00:45:08,680 Speaker 2: because it caused all kinds of swelling and things and men. 777 00:45:10,960 --> 00:45:12,880 Speaker 2: You may not have as big a need for it 778 00:45:12,920 --> 00:45:16,319 Speaker 2: in Australia because you have safer food and water. Here 779 00:45:16,320 --> 00:45:19,759 Speaker 2: in America, we have the land of the feminized male. Right, 780 00:45:21,920 --> 00:45:25,320 Speaker 2: men are not what they used to be. And whether 781 00:45:25,360 --> 00:45:27,840 Speaker 2: it's because there's hormones in the food or stuff in 782 00:45:27,880 --> 00:45:31,040 Speaker 2: the water, or phytoestrogen and glycophosphates and all kinds of 783 00:45:31,160 --> 00:45:34,440 Speaker 2: crap you know, on our grains and corn that we 784 00:45:34,440 --> 00:45:38,799 Speaker 2: shouldn't be eating anyway, you know, we've got men want 785 00:45:38,840 --> 00:45:43,440 Speaker 2: to become women, and you know, you know, don't know 786 00:45:43,480 --> 00:45:46,560 Speaker 2: how to protect and feed and house and do do 787 00:45:46,840 --> 00:45:51,400 Speaker 2: you know, do basic you know things that we probably 788 00:45:51,480 --> 00:45:54,120 Speaker 2: did one hundred years ago. So there's a bigger need 789 00:45:54,160 --> 00:45:55,799 Speaker 2: for it. Here. We're seeing men in the thirties and 790 00:45:55,840 --> 00:45:59,479 Speaker 2: forties with low testosterone numbers and behaviors and symptoms going 791 00:45:59,520 --> 00:46:05,520 Speaker 2: with it, you know, low sex drive, you know, just 792 00:46:05,520 --> 00:46:09,839 Speaker 2: just less fewer alpha males. We've lost that masculine edge here. 793 00:46:10,520 --> 00:46:15,879 Speaker 2: Uh except me, of course, so I knew that. Yeah, 794 00:46:16,600 --> 00:46:20,279 Speaker 2: I'm just it's just oozing off of me. But the uh, 795 00:46:20,400 --> 00:46:22,600 Speaker 2: the uh, the ripples of the replacement. I've learned about 796 00:46:22,600 --> 00:46:26,280 Speaker 2: this years ago, and in fact it's a big anti 797 00:46:26,360 --> 00:46:31,520 Speaker 2: aging uh you know, uh movement to to start to 798 00:46:31,600 --> 00:46:35,239 Speaker 2: replace slash optimize hormone levels. Early on, there was a 799 00:46:35,280 --> 00:46:38,279 Speaker 2: theory that as you age, your hormones declined, and someone said, 800 00:46:38,280 --> 00:46:41,680 Speaker 2: wait a minute, what if you age because your hormones decline, 801 00:46:41,680 --> 00:46:43,759 Speaker 2: so let's start to replace. This That was years ago, 802 00:46:43,800 --> 00:46:46,799 Speaker 2: and that that actually has has helped. So uh, you 803 00:46:46,800 --> 00:46:49,400 Speaker 2: look at you look at older men with testoscerin replacement, 804 00:46:49,640 --> 00:46:52,239 Speaker 2: and they have more muscle mass, more bone density, same 805 00:46:52,280 --> 00:46:55,120 Speaker 2: with the women. More bone density. Man, you think about 806 00:46:55,120 --> 00:46:58,319 Speaker 2: more bone density, more bone, marrow, more marrow, more stem 807 00:46:58,400 --> 00:47:02,000 Speaker 2: cell activity, more stem cell activity, more youth. So I'm 808 00:47:02,040 --> 00:47:06,480 Speaker 2: a big fan of bioidentical hormone replacement and optimization men 809 00:47:06,520 --> 00:47:10,360 Speaker 2: and women. Even if you've already had menopause, ladies, you 810 00:47:10,360 --> 00:47:15,799 Speaker 2: can start it later. Hormone replacement is known in both 811 00:47:15,920 --> 00:47:21,960 Speaker 2: sexist to reduce dementia, reduce cardiovascar disease, reduce you know, 812 00:47:22,040 --> 00:47:25,799 Speaker 2: bone and muscle loss, and all those things if you 813 00:47:25,880 --> 00:47:29,279 Speaker 2: can manage them. We'll support a healthy longevity. 814 00:47:30,160 --> 00:47:33,200 Speaker 1: Yeah. And with all of that, you move better, you 815 00:47:33,200 --> 00:47:35,120 Speaker 1: can pick up your grandkids, you can get in and 816 00:47:35,160 --> 00:47:38,520 Speaker 1: out of the car. Activities of daily living, like on 817 00:47:38,600 --> 00:47:47,200 Speaker 1: a functional, operational, day to day level, like cognitively, emotionally, psychologically, physiologically. Yeah, 818 00:47:47,320 --> 00:47:51,040 Speaker 1: Like I don't understand because all where you know with 819 00:47:51,160 --> 00:47:53,240 Speaker 1: this is what do we want? Well, we want people 820 00:47:53,280 --> 00:47:59,719 Speaker 1: to live as strong and healthy and operationally functional for 821 00:48:00,040 --> 00:48:03,360 Speaker 1: long as they can that I can walk up the 822 00:48:03,400 --> 00:48:06,520 Speaker 1: corner here and I can buy a hundred cigarettes, which 823 00:48:06,960 --> 00:48:11,360 Speaker 1: absolutely we know kill people, but the government has a 824 00:48:11,400 --> 00:48:14,080 Speaker 1: four hundred percent tax on those cigarettes, so they make 825 00:48:14,160 --> 00:48:17,920 Speaker 1: shitloads of money. Like something that we know kills people, 826 00:48:18,080 --> 00:48:20,839 Speaker 1: I can buy it. The corner store. In fact, any 827 00:48:20,880 --> 00:48:23,080 Speaker 1: eighteen year olds can buy it the corner store. But 828 00:48:23,120 --> 00:48:27,920 Speaker 1: when we talk about you know, bioidentical hormone replacement therapy, 829 00:48:29,000 --> 00:48:31,840 Speaker 1: it's just and I look at so many dudes over 830 00:48:31,880 --> 00:48:37,240 Speaker 1: here as well and women whom I just think, wow 831 00:48:37,600 --> 00:48:41,000 Speaker 1: that if you could just get someone to like a 832 00:48:41,080 --> 00:48:44,200 Speaker 1: responsible clinician. By the way, everyone, I'm talking about the 833 00:48:44,239 --> 00:48:47,960 Speaker 1: medical supervision with I'm not talking about Brian who's got 834 00:48:47,960 --> 00:48:52,239 Speaker 1: the panel van and sells gear out the back, because 835 00:48:52,280 --> 00:48:54,240 Speaker 1: there's a few of those around. We don't want those. 836 00:48:54,640 --> 00:48:58,360 Speaker 1: I'm talking about you know, blood tests, clinical supervision, like 837 00:48:58,480 --> 00:49:03,120 Speaker 1: prescription through a medical professional, because like, here's the truth. 838 00:49:03,160 --> 00:49:07,920 Speaker 1: With some people, they might they might have their food 839 00:49:07,960 --> 00:49:12,320 Speaker 1: and their exercise and their lifestyle somewhere in the ballpark 840 00:49:12,360 --> 00:49:16,239 Speaker 1: of optimal. But if they're in the crime systems just 841 00:49:16,320 --> 00:49:21,040 Speaker 1: not working optimally, they ain't going to be anywhere they're optimal. 842 00:49:22,080 --> 00:49:26,600 Speaker 2: Yeah, that's that's fair. And again this all comes down 843 00:49:26,600 --> 00:49:31,359 Speaker 2: to its setives, right, you know, So what's the incentive 844 00:49:31,360 --> 00:49:33,560 Speaker 2: for not making this available? Like why is this not 845 00:49:33,600 --> 00:49:36,560 Speaker 2: available where you are? Because here here in America you 846 00:49:36,560 --> 00:49:39,759 Speaker 2: can go online with an app and one of these 847 00:49:39,800 --> 00:49:42,680 Speaker 2: companies that has like and they do prescribe it, like 848 00:49:42,680 --> 00:49:44,480 Speaker 2: there's a doctor ask you a few questions, or it's 849 00:49:44,520 --> 00:49:47,200 Speaker 2: automated and they prescribe it. Someone's signing off on that. 850 00:49:47,680 --> 00:49:50,399 Speaker 2: Then they send it to you in the mail. So here, Yeah, 851 00:49:51,239 --> 00:49:54,200 Speaker 2: it's pretty well done. You can you can get that 852 00:49:54,360 --> 00:49:55,399 Speaker 2: for women and for men. 853 00:49:56,360 --> 00:50:01,200 Speaker 1: Yeah, well, who knows what. Let's just do one or 854 00:50:01,200 --> 00:50:03,120 Speaker 1: two more things. Have you got a few minutes stock? 855 00:50:03,760 --> 00:50:06,040 Speaker 2: Yeah? And I wanted to ask you a question at 856 00:50:06,040 --> 00:50:07,960 Speaker 2: some point, So leave me two minutes for that, if 857 00:50:08,000 --> 00:50:08,520 Speaker 2: you if you'd be. 858 00:50:08,520 --> 00:50:10,719 Speaker 1: So kind, well, why don't we start with that, because 859 00:50:10,719 --> 00:50:12,080 Speaker 1: it's probably more interesting than me. 860 00:50:12,600 --> 00:50:16,279 Speaker 2: Oh I doubt it, but so listen, I want the 861 00:50:16,360 --> 00:50:21,360 Speaker 2: view from an Australian. We watched this dramatized series on 862 00:50:21,440 --> 00:50:26,160 Speaker 2: Netflix about the the woman who purportedly faked her cancer, 863 00:50:26,320 --> 00:50:31,040 Speaker 2: and can you what's the real skinny on that story? 864 00:50:31,280 --> 00:50:33,920 Speaker 2: You know that I've watched. I've watched the dramatized version. 865 00:50:34,400 --> 00:50:37,400 Speaker 1: Okay, So this is what I'm about to say is 866 00:50:37,960 --> 00:50:40,640 Speaker 1: you're probably asking the wrong guy. But I know what's 867 00:50:40,640 --> 00:50:45,680 Speaker 1: her name? Belle someone? Yeah, she's quite well known over here. 868 00:50:45,719 --> 00:50:49,920 Speaker 1: And the I the story was that, yes, she faked 869 00:50:50,600 --> 00:50:54,560 Speaker 1: cancer and you know, exploited people and made lots of 870 00:50:54,560 --> 00:50:57,080 Speaker 1: money and got lots of attention and sympathy, and I 871 00:50:57,120 --> 00:51:00,400 Speaker 1: think quite a few high profile people got on board 872 00:51:00,480 --> 00:51:03,440 Speaker 1: to support her, and she was in magazines and in 873 00:51:03,480 --> 00:51:06,799 Speaker 1: the media and she'd turned her life around and she 874 00:51:06,960 --> 00:51:11,160 Speaker 1: was this survivor and it was all bullshit. So yeah, 875 00:51:11,640 --> 00:51:16,480 Speaker 1: I mean, to me, she is a sociopath. That would 876 00:51:16,840 --> 00:51:18,719 Speaker 1: I mean, to be able to do that with no 877 00:51:18,960 --> 00:51:23,480 Speaker 1: and even in interviews now that would seem to me 878 00:51:24,160 --> 00:51:31,840 Speaker 1: sociopathic behavior, nasis, sociopathic nasist. But yeah, it's true. And 879 00:51:32,000 --> 00:51:33,920 Speaker 1: I mean you probably know as much as me, but 880 00:51:34,160 --> 00:51:37,040 Speaker 1: definitely there are a lot of people who are not 881 00:51:37,080 --> 00:51:39,239 Speaker 1: a big fan of her anymore. Let's just say the 882 00:51:39,320 --> 00:51:44,160 Speaker 1: compassion and the care that was once directed towards her, 883 00:51:44,200 --> 00:51:46,919 Speaker 1: I think that's long gone. But I mean I haven't 884 00:51:46,920 --> 00:51:51,680 Speaker 1: seen anything super recently, but I saw something not long 885 00:51:51,719 --> 00:51:55,719 Speaker 1: ago where the interview was saying to her, but just 886 00:51:56,440 --> 00:52:00,480 Speaker 1: admit that, just admit, and she's like, no, I did, didn't. 887 00:52:00,680 --> 00:52:03,800 Speaker 1: She's like you did? I mean, this is not in question, 888 00:52:04,239 --> 00:52:10,040 Speaker 1: and she just sits there and pathologically lies with no 889 00:52:10,400 --> 00:52:14,640 Speaker 1: hint of discomfort. I'm like, Wow, we could imagine if 890 00:52:14,640 --> 00:52:19,680 Speaker 1: we could harness that. I mean, like, you know, when 891 00:52:19,760 --> 00:52:21,640 Speaker 1: people the ego. 892 00:52:21,440 --> 00:52:23,200 Speaker 2: The ego doesn't want to you know, I know I've 893 00:52:23,239 --> 00:52:25,680 Speaker 2: said this, so we can never go against that, you know. 894 00:52:25,800 --> 00:52:29,279 Speaker 1: Yeah, yeah, I'm probably it's probably all my listeners like, 895 00:52:29,320 --> 00:52:31,520 Speaker 1: shut up, Harps, you're fucking this up. I watched the 896 00:52:31,560 --> 00:52:35,319 Speaker 1: whole series, get the doc to ask me. Yeah, but 897 00:52:35,360 --> 00:52:38,480 Speaker 1: it makes me cringe a little bit. So yeah, but 898 00:52:38,760 --> 00:52:40,879 Speaker 1: that so that's getting a little bit of air time 899 00:52:40,880 --> 00:52:43,239 Speaker 1: in the States on Netflix, is it. Yeah? 900 00:52:43,560 --> 00:52:46,040 Speaker 2: It just blew through like a like a virus, and 901 00:52:46,080 --> 00:52:49,520 Speaker 2: we all watched it. And now there's a subsequent like 902 00:52:50,440 --> 00:52:56,759 Speaker 2: documentary style, so is drama the drama drama. So we 903 00:52:57,200 --> 00:53:00,279 Speaker 2: watched the dramatize one because that guy, you know, number 904 00:53:00,320 --> 00:53:01,800 Speaker 2: one on Netflix. You got to watch it, right it 905 00:53:01,880 --> 00:53:02,880 Speaker 2: shows up on the screen. 906 00:53:02,920 --> 00:53:03,160 Speaker 4: Wow. 907 00:53:03,719 --> 00:53:05,960 Speaker 2: But I just just wondered. 908 00:53:06,239 --> 00:53:09,240 Speaker 1: Yeah, we might leave it there. But I love talking 909 00:53:09,239 --> 00:53:12,759 Speaker 1: to you. We so appreciate you. Tell people how to 910 00:53:12,800 --> 00:53:16,000 Speaker 1: connect with you and where you want to direct them. 911 00:53:16,000 --> 00:53:22,600 Speaker 2: Please, Well, yeah, call called Craig Harper and here's my 912 00:53:22,680 --> 00:53:27,640 Speaker 2: home number. Check us out at re celebrate r E 913 00:53:28,000 --> 00:53:30,839 Speaker 2: C E L L E B R A T e 914 00:53:31,920 --> 00:53:36,000 Speaker 2: celebrate dot com, YouTube channel, Instagram, TikTok, whatever you use. 915 00:53:36,040 --> 00:53:40,640 Speaker 2: I probably have a re celebrate account there. And I 916 00:53:40,640 --> 00:53:43,120 Speaker 2: think we're the only people using that word that spelled 917 00:53:43,120 --> 00:53:44,719 Speaker 2: that way, so you'll fight us. 918 00:53:45,280 --> 00:53:47,359 Speaker 1: Also, I'll put that in the show notes, so if 919 00:53:47,400 --> 00:53:49,880 Speaker 1: you can't remember that, just go look in the show notes. 920 00:53:50,120 --> 00:53:52,399 Speaker 1: We'll say God buy off air in a moment, doc, 921 00:53:52,520 --> 00:53:55,320 Speaker 1: But again, thanks for coming to play on the new project. 922 00:53:55,719 --> 00:53:59,040 Speaker 1: I love hanging out with you and I appreciate you. 923 00:54:00,040 --> 00:54:00,600 Speaker 2: I back at you. 924 00:54:00,680 --> 00:54:00,960 Speaker 1: Thank you.