1 00:00:00,400 --> 00:00:02,520 Speaker 1: Again, I tell him it's the bloody you project. Doctor 2 00:00:02,600 --> 00:00:05,920 Speaker 1: Jeff is just declaring his love for Tiff and just 3 00:00:06,519 --> 00:00:09,719 Speaker 1: he's just put me in second place straight away at 4 00:00:09,720 --> 00:00:12,479 Speaker 1: the top of the show, the only Child is back 5 00:00:12,480 --> 00:00:14,920 Speaker 1: in therapy, it would seem, so I'll just be booking 6 00:00:14,960 --> 00:00:18,160 Speaker 1: that straight after the show. Tiff, what's it like being 7 00:00:18,160 --> 00:00:20,200 Speaker 1: the perpetual favorite on my show? 8 00:00:20,680 --> 00:00:22,520 Speaker 2: Look, I'm quite partial to it. 9 00:00:23,360 --> 00:00:27,120 Speaker 1: I haven't quite it seems to be a common occurrence. 10 00:00:27,440 --> 00:00:29,920 Speaker 1: It's like, I feel like some people only come on 11 00:00:29,960 --> 00:00:33,320 Speaker 1: the show so they can meet you. And you know 12 00:00:33,360 --> 00:00:35,560 Speaker 1: what else? I hate when I go out and people 13 00:00:35,600 --> 00:00:37,680 Speaker 1: say to me, what's Tiff? 14 00:00:37,840 --> 00:00:37,920 Speaker 2: Like? 15 00:00:38,120 --> 00:00:48,080 Speaker 1: I go fucked if? Like, hey, fuck t iif? Good? Ay, Doc, 16 00:00:48,159 --> 00:00:48,920 Speaker 1: how are you. 17 00:00:50,280 --> 00:00:55,720 Speaker 2: Listen? I am here to enjoy the entertaining witty nonsense 18 00:00:55,840 --> 00:01:00,480 Speaker 2: that is, you know, is spun by you and your 19 00:01:00,480 --> 00:01:02,560 Speaker 2: own Robin Quiver's Tiff. 20 00:01:03,320 --> 00:01:07,479 Speaker 1: Yeah, that is that is who she is. What time 21 00:01:07,560 --> 00:01:09,759 Speaker 1: is it over there in the thriving metropolis? It's seven 22 00:01:09,880 --> 00:01:12,160 Speaker 1: fourteen in the am here? What is it there? 23 00:01:12,760 --> 00:01:15,200 Speaker 2: Good morning to you? It's it's one fifteen in the 24 00:01:15,240 --> 00:01:16,800 Speaker 2: afternoon in Las Vegas. 25 00:01:17,600 --> 00:01:19,440 Speaker 1: Well give you up, but a cup? Are you at work. 26 00:01:19,440 --> 00:01:21,560 Speaker 1: Are you seeing patients today? What are you up to? 27 00:01:22,360 --> 00:01:25,280 Speaker 2: Yeah? And full disclosure, I was late to our get 28 00:01:25,319 --> 00:01:28,639 Speaker 2: together today because I was running a little behind with patients. 29 00:01:28,680 --> 00:01:33,600 Speaker 2: So I appreciate your your your understanding, and only dockumy 30 00:01:33,640 --> 00:01:35,679 Speaker 2: pay fifty Yeah. 31 00:01:35,800 --> 00:01:38,560 Speaker 1: Yeah, Well he was given his first warning everyone before 32 00:01:38,600 --> 00:01:41,399 Speaker 1: we went there. I told him that there'd be fifty 33 00:01:41,440 --> 00:01:46,800 Speaker 1: percent reduction in payment this episode, which you know, I 34 00:01:46,880 --> 00:01:50,120 Speaker 1: do it for his own good, because if there's no consequences, 35 00:01:50,160 --> 00:01:53,560 Speaker 1: people don't learn. And I'm all about learning and teaching, 36 00:01:53,960 --> 00:01:55,800 Speaker 1: and if I have to dispense a little bit of 37 00:01:55,840 --> 00:01:58,360 Speaker 1: tough love, you know what, I'm going to fucking do it. 38 00:01:58,480 --> 00:02:02,520 Speaker 1: That's that's okay. So even at your age, even with 39 00:02:02,600 --> 00:02:05,559 Speaker 1: your status and your brand and your credibility and your 40 00:02:06,400 --> 00:02:09,000 Speaker 1: disgusting wealth, you've still got to learn a lesson. 41 00:02:10,200 --> 00:02:14,960 Speaker 2: Well, I appreciate you, professor for making sure that I 42 00:02:15,000 --> 00:02:16,440 Speaker 2: stay in my lane here. Thank you. 43 00:02:18,120 --> 00:02:21,119 Speaker 1: All right, let's open the batting. That's an Australian term. 44 00:02:21,160 --> 00:02:23,880 Speaker 1: It's a cricket term that you won't understand. But let's 45 00:02:23,960 --> 00:02:30,400 Speaker 1: open the bat I want to dive straight in. So 46 00:02:30,440 --> 00:02:37,040 Speaker 1: I've spoken a bit about biological age. Is it possible 47 00:02:37,080 --> 00:02:43,520 Speaker 1: to reverse biological age without a doubt significantly, and just 48 00:02:43,520 --> 00:02:44,960 Speaker 1: just tell us a little bit about that. 49 00:02:45,680 --> 00:02:49,280 Speaker 2: Yeah, without a doubt. So biological age is probably more 50 00:02:49,320 --> 00:02:54,239 Speaker 2: important measure of our overall health and potential longevity than 51 00:02:54,400 --> 00:02:57,840 Speaker 2: our chronological age. Yeah, but we measure chronological age of 52 00:02:57,880 --> 00:03:01,040 Speaker 2: meaning how old we are. But as you know, you 53 00:03:01,120 --> 00:03:02,799 Speaker 2: can look at a couple eighty year olds and one 54 00:03:02,919 --> 00:03:07,360 Speaker 2: is decrepit and gray, and you know, on a cane 55 00:03:07,639 --> 00:03:11,519 Speaker 2: in a rocking chair, and one is playing pickaball. Do 56 00:03:11,560 --> 00:03:12,440 Speaker 2: you have pickleball there? 57 00:03:12,919 --> 00:03:16,240 Speaker 1: Yep, yeah, pickables, just like in the stites. It's gone nuts. 58 00:03:16,320 --> 00:03:21,040 Speaker 2: Okay, okay. So, and it turns out that there are 59 00:03:21,120 --> 00:03:25,959 Speaker 2: markers in the cell, different markers, certain products cells make 60 00:03:26,080 --> 00:03:31,120 Speaker 2: or lack of products, Certain changes on the appendages to 61 00:03:31,200 --> 00:03:35,800 Speaker 2: the genetic material called methylation, certain appendages to our antibodies 62 00:03:35,840 --> 00:03:41,480 Speaker 2: called glycylation and or glycosylation, And these things are markers, 63 00:03:41,520 --> 00:03:44,480 Speaker 2: and you look at them, you know statistically of how 64 00:03:45,160 --> 00:03:50,520 Speaker 2: effectively old our biology is. Not our calendar edge, you 65 00:03:50,560 --> 00:03:53,480 Speaker 2: can reverse those. Those are inducible one way or the other, 66 00:03:54,560 --> 00:03:59,440 Speaker 2: and you can significantly reduce them, mostly by making choices. 67 00:04:00,240 --> 00:04:05,720 Speaker 1: Hmm. Okay, I've got so if this is all bro 68 00:04:05,880 --> 00:04:08,520 Speaker 1: science and this is just you're talking off the top everyone, 69 00:04:08,560 --> 00:04:11,480 Speaker 1: And remember everyone, none of this is necessarily medical advice. 70 00:04:11,520 --> 00:04:14,440 Speaker 1: We're just chatting which one's going to have the biggest 71 00:04:14,480 --> 00:04:21,680 Speaker 1: impact negative impact on biological age over time. So consistent 72 00:04:21,760 --> 00:04:26,839 Speaker 1: and regular stress as in distress booze like daily drinking, 73 00:04:27,040 --> 00:04:31,600 Speaker 1: probably too much booze or shitty sleep over a long 74 00:04:31,760 --> 00:04:35,240 Speaker 1: extended period of time. So stress, booze or sleep. 75 00:04:36,240 --> 00:04:37,520 Speaker 2: Those are my only choices. 76 00:04:38,520 --> 00:04:40,960 Speaker 1: Yeah, well you can no, you can go wherever you want. 77 00:04:42,320 --> 00:04:47,240 Speaker 2: I would say the largest mover of the needle is 78 00:04:47,839 --> 00:04:55,600 Speaker 2: based upon your physical health, your exercise status, your muscle mass. 79 00:04:55,640 --> 00:05:00,720 Speaker 2: Thoes all go together because if you do that robustly, 80 00:05:01,800 --> 00:05:06,760 Speaker 2: If you exercise robustly, and we're talking you know, high 81 00:05:06,839 --> 00:05:11,159 Speaker 2: intensity exercise, we're talking to work to failure, we're talking 82 00:05:11,440 --> 00:05:16,960 Speaker 2: muscle gains. You can almost forgive a few little violations 83 00:05:17,279 --> 00:05:22,120 Speaker 2: in the alcohol department, the eating department, and the neurological 84 00:05:22,240 --> 00:05:24,200 Speaker 2: slash psychological stress department. 85 00:05:26,960 --> 00:05:29,880 Speaker 1: You know what I find interesting about movement and obviously 86 00:05:29,880 --> 00:05:32,400 Speaker 1: that's the space that both TIF and I have worked 87 00:05:32,440 --> 00:05:37,000 Speaker 1: in most of our adult lives. Like when you go 88 00:05:37,080 --> 00:05:40,160 Speaker 1: into a gym, it's changing now a little bit. But 89 00:05:40,240 --> 00:05:42,679 Speaker 1: for the vast majority of my life, whenever I would 90 00:05:42,680 --> 00:05:47,080 Speaker 1: go into a gym, especially a weight room, most of 91 00:05:47,120 --> 00:05:49,800 Speaker 1: the people that you see in there probably don't need 92 00:05:49,839 --> 00:05:52,640 Speaker 1: to be there as much as the people who do 93 00:05:52,720 --> 00:05:56,119 Speaker 1: need to be, you know. So there's this huge group 94 00:05:56,200 --> 00:05:59,160 Speaker 1: of kind of sixteen to thirty five year olds, and 95 00:05:59,200 --> 00:06:01,200 Speaker 1: it's good they're in the him and it's good they're training. 96 00:06:01,720 --> 00:06:05,200 Speaker 1: But the people that probably most need it physiologically and 97 00:06:05,240 --> 00:06:08,760 Speaker 1: from a health perspective, like forty plus, tend to be 98 00:06:10,680 --> 00:06:13,960 Speaker 1: the minority in there. But it's shifting now a little bit. 99 00:06:14,000 --> 00:06:17,320 Speaker 1: I think you yep, yeah, I. 100 00:06:17,279 --> 00:06:20,240 Speaker 2: See the same thing here in the States. And I 101 00:06:20,279 --> 00:06:24,800 Speaker 2: think that what you do in a decade determines how 102 00:06:24,839 --> 00:06:27,320 Speaker 2: you will feel an age in the following decades. So 103 00:06:28,640 --> 00:06:30,800 Speaker 2: if you are in your forties and fifties and you're 104 00:06:30,839 --> 00:06:32,960 Speaker 2: busy working and doing things that you say, oh, I'll 105 00:06:33,080 --> 00:06:36,600 Speaker 2: get more into exercise in the next decade, you're going 106 00:06:36,600 --> 00:06:38,880 Speaker 2: out or wrong. You need to do stuff all the time. 107 00:06:41,360 --> 00:06:44,440 Speaker 1: I've spoken about this a bit lately, but why do 108 00:06:44,520 --> 00:06:46,640 Speaker 1: you I know you're not a psychologist, but why do 109 00:06:46,720 --> 00:06:49,920 Speaker 1: you think we're so reactive rather than proactive. Is it 110 00:06:50,040 --> 00:06:55,279 Speaker 1: just because you know, taking action is uncomfortable and it 111 00:06:55,440 --> 00:06:58,520 Speaker 1: just requires effort, or you know, why do we wait 112 00:06:58,600 --> 00:06:59,919 Speaker 1: until stuff falls apart? 113 00:07:02,240 --> 00:07:06,600 Speaker 2: I think the modern world has given us certain easiness 114 00:07:07,279 --> 00:07:13,120 Speaker 2: and laziness, And it's just the dopamine release. Was sitting 115 00:07:13,160 --> 00:07:16,000 Speaker 2: in front of the television or in front of your 116 00:07:16,000 --> 00:07:22,800 Speaker 2: phone is immediately gratifying compared to the more delayed gratification 117 00:07:22,960 --> 00:07:24,920 Speaker 2: from consistent workouts. 118 00:07:25,720 --> 00:07:29,000 Speaker 1: Yeah, yeah, well we do love a little bit of dopamine, 119 00:07:29,040 --> 00:07:32,920 Speaker 1: don't we. And that idea of again a well worn 120 00:07:33,080 --> 00:07:39,040 Speaker 1: path of conversation here, but the idea of delaying gratification 121 00:07:40,120 --> 00:07:42,520 Speaker 1: is not the most attractive to people. It's like, no, 122 00:07:42,720 --> 00:07:48,120 Speaker 1: just wait, yeah, yeah, yeah, yeah yeah. How far away 123 00:07:48,840 --> 00:07:52,440 Speaker 1: are we from creating I don't know if this is 124 00:07:52,480 --> 00:07:56,160 Speaker 1: the right term, you'll know, but creating tissue in a 125 00:07:56,280 --> 00:08:00,680 Speaker 1: lab that we can use to repair injury, you know, 126 00:08:00,840 --> 00:08:05,760 Speaker 1: like Achilles Tenon's knees, Like creating human tissue, if that's 127 00:08:05,800 --> 00:08:10,360 Speaker 1: the right term. Yeah, you know, rather than what we've 128 00:08:10,360 --> 00:08:12,120 Speaker 1: been doing for the last thousand years. 129 00:08:12,600 --> 00:08:16,520 Speaker 2: Well, we do that in some ways now. I don't 130 00:08:16,520 --> 00:08:18,239 Speaker 2: know if we're creating a lab, but I mean, people 131 00:08:18,280 --> 00:08:24,840 Speaker 2: can donate tissues for that purpose. Some of these umbilical 132 00:08:24,920 --> 00:08:28,240 Speaker 2: cord cells that are donated can go into an incubator 133 00:08:28,280 --> 00:08:31,520 Speaker 2: in a lab and they can spit out more to 134 00:08:31,600 --> 00:08:35,720 Speaker 2: an extent, So that is creating it of sorts, and 135 00:08:35,760 --> 00:08:40,120 Speaker 2: we're getting better at learning how to well strategize or 136 00:08:40,160 --> 00:08:43,920 Speaker 2: modify it or induce it to make you know, more 137 00:08:44,000 --> 00:08:49,560 Speaker 2: specific healing elements. So we're doing that now. It's not 138 00:08:49,679 --> 00:08:53,679 Speaker 2: readily available everywhere, and some of it is considered experimental, 139 00:08:55,400 --> 00:08:58,400 Speaker 2: but nature's done this for us for so long, right, 140 00:08:58,559 --> 00:09:03,120 Speaker 2: the womb is theater, and the birth products are so 141 00:09:03,240 --> 00:09:08,200 Speaker 2: amazingly restorative and regeneritive. So it's here, it's here now, 142 00:09:08,360 --> 00:09:10,000 Speaker 2: and it's just growing fast. 143 00:09:13,000 --> 00:09:15,520 Speaker 1: I was thinking about this yesterday when I was listening 144 00:09:15,520 --> 00:09:20,560 Speaker 1: to a dude talk about or two dudes talk about transhumanism, 145 00:09:21,160 --> 00:09:27,080 Speaker 1: which my understanding is it's essentially the kind of the 146 00:09:27,120 --> 00:09:31,800 Speaker 1: intersection or the merger of biology and technology and like. 147 00:09:32,280 --> 00:09:35,000 Speaker 1: And obviously there's already a level of that, of course, 148 00:09:35,040 --> 00:09:39,120 Speaker 1: we're using technology and operations and medicine already, but the 149 00:09:39,320 --> 00:09:42,160 Speaker 1: kind of evolution of that where more and more we're 150 00:09:42,160 --> 00:09:45,760 Speaker 1: going to see this integration of for want of better term, 151 00:09:45,840 --> 00:09:50,920 Speaker 1: human and robot or biology technology to have this this 152 00:09:51,120 --> 00:09:54,360 Speaker 1: hybrid new kind of version of a human over time. 153 00:09:54,840 --> 00:09:56,880 Speaker 1: Do you ever think about that? What are your thoughts 154 00:09:56,880 --> 00:09:57,120 Speaker 1: on that? 155 00:09:58,559 --> 00:10:01,280 Speaker 2: Yeah, I mean, listen, we already have ellen of transhumanism. 156 00:10:01,360 --> 00:10:06,040 Speaker 2: We have neuralink elon Musks company, where you have electric 157 00:10:06,320 --> 00:10:10,800 Speaker 2: electronic implant. But before that, there's something called the Dobell eye. 158 00:10:11,559 --> 00:10:14,760 Speaker 2: It was basically an array of detectors that you could 159 00:10:14,800 --> 00:10:18,480 Speaker 2: wear in a set of glasses and they are wired 160 00:10:18,559 --> 00:10:22,360 Speaker 2: into an array of elect electrodes that lay on top 161 00:10:22,400 --> 00:10:24,520 Speaker 2: of the brain in the back of the brain and 162 00:10:24,559 --> 00:10:28,840 Speaker 2: the occipital lobe where vision is detected in someone that's blind. 163 00:10:29,200 --> 00:10:32,320 Speaker 2: But let's say they they're optic nerve never developed during 164 00:10:32,400 --> 00:10:35,800 Speaker 2: their when they were a fetus, so they have they 165 00:10:35,840 --> 00:10:39,160 Speaker 2: have ability to the light and the and the perceived 166 00:10:39,200 --> 00:10:43,920 Speaker 2: world hits these detectors. They're like little cameras. It gives 167 00:10:44,000 --> 00:10:49,120 Speaker 2: electronic or variable impulses to an array of areas in 168 00:10:49,200 --> 00:10:51,480 Speaker 2: the back of the occipital lobe, and the brain is 169 00:10:51,800 --> 00:10:55,040 Speaker 2: an AI. It's a neural network. It starts to recognize patterns, 170 00:10:55,200 --> 00:10:57,920 Speaker 2: it starts to define those and get and get used 171 00:10:57,960 --> 00:11:00,920 Speaker 2: to them, and pretty soon you can they have vision 172 00:11:01,000 --> 00:11:05,920 Speaker 2: of sorts. So this is this goes back, you know, 173 00:11:06,040 --> 00:11:08,880 Speaker 2: twenty five thirty years. This is not new. Elon Musk 174 00:11:08,920 --> 00:11:10,720 Speaker 2: has got it down to a smaller device and maybe 175 00:11:10,760 --> 00:11:14,480 Speaker 2: even an externalized device eventually, which would be nice because 176 00:11:14,480 --> 00:11:16,880 Speaker 2: nobody likes to have to have their head open to 177 00:11:16,880 --> 00:11:21,280 Speaker 2: put an array of electrodes in there. But transhumanism, though, 178 00:11:21,320 --> 00:11:28,680 Speaker 2: speaks to these technologies that would allow our our data 179 00:11:28,920 --> 00:11:33,240 Speaker 2: to be downloaded into a continuous form, you know, your 180 00:11:33,280 --> 00:11:37,320 Speaker 2: soul or your mind or your memories into a digital 181 00:11:37,360 --> 00:11:40,079 Speaker 2: form where you could upload them later into someone else, 182 00:11:40,280 --> 00:11:43,600 Speaker 2: or into a new version of yourself that's not as 183 00:11:43,640 --> 00:11:47,120 Speaker 2: biologic or something like that. That's that's sort of the 184 00:11:47,200 --> 00:11:48,640 Speaker 2: underlying concept. 185 00:11:49,360 --> 00:11:55,080 Speaker 1: Imagine that, Tiff. Imagine downloading your consciousness into some kind 186 00:11:55,120 --> 00:11:59,679 Speaker 1: of external hard drive or something, and then and then 187 00:12:00,480 --> 00:12:04,000 Speaker 1: uploading it later once you get I don't know, I 188 00:12:04,000 --> 00:12:07,000 Speaker 1: don't know, or maybe yeah, you might get a new 189 00:12:07,040 --> 00:12:10,920 Speaker 1: body later, you might get a donor body, and you know, 190 00:12:11,160 --> 00:12:13,480 Speaker 1: I become Brian, and Brian becomes me, and then I 191 00:12:13,640 --> 00:12:17,720 Speaker 1: just upload Craig's consciousness back into the new donor body 192 00:12:18,240 --> 00:12:21,120 Speaker 1: and now I just do life. I don't know, I 193 00:12:21,160 --> 00:12:22,840 Speaker 1: don't know. It freaks me out a little bit. Would 194 00:12:22,880 --> 00:12:25,760 Speaker 1: you do neural link doc if you knew it was 195 00:12:25,760 --> 00:12:27,079 Speaker 1: one hundred percent safe? 196 00:12:27,920 --> 00:12:30,920 Speaker 2: If I think it's safe, We've been doing things like 197 00:12:30,920 --> 00:12:33,960 Speaker 2: that all the time for years. I'm not worried about 198 00:12:34,080 --> 00:12:36,280 Speaker 2: the safety profile. But how you'd have to have a 199 00:12:36,360 --> 00:12:38,959 Speaker 2: need for it, like if I lost vision or the 200 00:12:39,160 --> 00:12:42,040 Speaker 2: use of my limbs. Of course they would. 201 00:12:42,800 --> 00:12:46,960 Speaker 1: Okay, maybe I'm misunderstanding. I thought neural link, like Elon's version, 202 00:12:47,480 --> 00:12:52,360 Speaker 1: is essentially access to the Internet in your brain, among 203 00:12:52,400 --> 00:12:53,000 Speaker 1: other things. 204 00:12:56,040 --> 00:12:59,360 Speaker 2: It could be that's fair. But the reason you would 205 00:12:59,400 --> 00:13:02,000 Speaker 2: do that right now because you cannot utilize a computer 206 00:13:02,679 --> 00:13:06,800 Speaker 2: and you need to use eye movements or thoughts to 207 00:13:06,800 --> 00:13:12,240 Speaker 2: to to access the world socially, I don't. I'm not 208 00:13:12,280 --> 00:13:14,760 Speaker 2: ready to do that because I still have most of 209 00:13:14,800 --> 00:13:18,600 Speaker 2: my my faculties at the moment. 210 00:13:19,240 --> 00:13:25,120 Speaker 1: Allegedly, yeah, allegedly. What's the What are the prize and 211 00:13:25,200 --> 00:13:29,040 Speaker 1: cons of as as we extend lifespan and health span? 212 00:13:29,760 --> 00:13:31,520 Speaker 1: I don't know if we by the way are we going? 213 00:13:31,640 --> 00:13:34,839 Speaker 1: Are we extending it? Are we extending health span? Or 214 00:13:35,120 --> 00:13:37,480 Speaker 1: or is it going backwards? I should I should start 215 00:13:37,520 --> 00:13:38,240 Speaker 1: with that question. 216 00:13:39,160 --> 00:13:45,120 Speaker 2: Uh, well, we had been slowly extending lifespan, health span 217 00:13:45,240 --> 00:13:48,600 Speaker 2: has There's no good measure of health span and populations 218 00:13:48,640 --> 00:13:51,559 Speaker 2: that I've seen, So we don't know the answer to that. 219 00:13:52,679 --> 00:13:58,240 Speaker 2: COVID drove us backwards because you measure the statistics and 220 00:13:58,280 --> 00:14:03,000 Speaker 2: there's so many deaths between twenty twenty and twenty twenty two, 221 00:14:03,040 --> 00:14:08,600 Speaker 2: and we're actually still seeing increased mortal diseases, you know, 222 00:14:08,840 --> 00:14:10,960 Speaker 2: cancers and things that might may or may not be 223 00:14:11,040 --> 00:14:15,520 Speaker 2: related to the COVID virus or the COVID vaccine. And 224 00:14:15,640 --> 00:14:20,560 Speaker 2: so I think we need to zoom out thirty thousand 225 00:14:20,680 --> 00:14:23,840 Speaker 2: feet and look at this a decade from now to 226 00:14:23,920 --> 00:14:28,280 Speaker 2: answer that. But we have the ability our health to 227 00:14:28,360 --> 00:14:31,920 Speaker 2: move forward with extending healthpan. Our health system in the 228 00:14:31,960 --> 00:14:35,520 Speaker 2: States doesn't allow it. In fact, it specifically works against it. 229 00:14:37,280 --> 00:14:39,480 Speaker 1: In what way we. 230 00:14:39,480 --> 00:14:42,080 Speaker 2: Have a sick care system, not a healthcare system materially active, 231 00:14:42,200 --> 00:14:47,840 Speaker 2: not proactive. And it's you know, people are given solutions 232 00:14:47,920 --> 00:14:50,880 Speaker 2: for bad behaviors like what they eat and what they 233 00:14:50,880 --> 00:14:56,760 Speaker 2: smoke and what they drink, and the best solution is 234 00:14:57,200 --> 00:15:00,880 Speaker 2: free of charge, and that's not doing those things, right. 235 00:15:01,080 --> 00:15:04,640 Speaker 1: Yeah, so yeah, yeah, yeah, Let's get to the calls 236 00:15:04,760 --> 00:15:07,720 Speaker 1: rather than the symptom. Let's let's change the behavior. Let's 237 00:15:07,800 --> 00:15:13,480 Speaker 1: change the behavior. Right, what are the uh, what are 238 00:15:13,480 --> 00:15:16,200 Speaker 1: the pros and cons? Again, and this is just an 239 00:15:16,200 --> 00:15:21,680 Speaker 1: opinion of maybe down the track having a generation of 240 00:15:21,720 --> 00:15:23,920 Speaker 1: people that live to one hundred and ten, one hundred 241 00:15:23,960 --> 00:15:26,480 Speaker 1: and twenty, and they get to one hundred years old 242 00:15:26,520 --> 00:15:30,000 Speaker 1: and they're relatively operational and functional. That a good or 243 00:15:30,040 --> 00:15:30,600 Speaker 1: a bad thing? 244 00:15:31,880 --> 00:15:33,720 Speaker 2: Well, it can be a good thing if those are 245 00:15:33,760 --> 00:15:38,720 Speaker 2: healthy people, you know. That's why we're talking about health span. 246 00:15:38,840 --> 00:15:41,120 Speaker 2: These are not only just people living longer, but they're 247 00:15:41,920 --> 00:15:47,200 Speaker 2: functioning and you know, contributing and enjoying and all that. 248 00:15:47,360 --> 00:15:50,480 Speaker 2: So they're not lying in a nursing home bed, you know, 249 00:15:50,880 --> 00:15:55,080 Speaker 2: waiting for a diaper change. That's not health span, that's lifespan. 250 00:15:57,000 --> 00:16:01,280 Speaker 2: So we have that. Now we have super centennarians, people 251 00:16:01,320 --> 00:16:08,040 Speaker 2: over one hundred you know, you know, out there contributing, driving, independent, 252 00:16:08,920 --> 00:16:12,720 Speaker 2: more and more than ever. So the problem is our 253 00:16:13,040 --> 00:16:18,560 Speaker 2: statistics on life expectancy take in all people, people with 254 00:16:19,120 --> 00:16:23,640 Speaker 2: war health, people with you know, you know, self inflicted 255 00:16:23,720 --> 00:16:28,600 Speaker 2: poor health as well, so they dragged down the stats. 256 00:16:28,640 --> 00:16:33,800 Speaker 2: If you took populations of people in their eighties, nineties 257 00:16:33,800 --> 00:16:38,240 Speaker 2: and one hundred and beyond the older you live Comma 258 00:16:38,760 --> 00:16:41,560 Speaker 2: the older you will live, Meaning if you can get 259 00:16:41,600 --> 00:16:43,840 Speaker 2: to that point, you have a chance your chances of 260 00:16:43,880 --> 00:16:45,920 Speaker 2: getting further are better. 261 00:16:47,640 --> 00:16:53,800 Speaker 1: Do you think that like the idea of while still 262 00:16:53,840 --> 00:16:57,680 Speaker 1: obviously using medical professionals, but the idea of people kind 263 00:16:57,720 --> 00:17:00,920 Speaker 1: of trying to understand they're on ziology in the way 264 00:17:00,960 --> 00:17:05,280 Speaker 1: that their body responds and playing with the different variables 265 00:17:05,320 --> 00:17:09,879 Speaker 1: with you know, nutrition, sleep, strength, training, supplementation, all of 266 00:17:09,880 --> 00:17:12,439 Speaker 1: the things that you know, trying to modify stress and 267 00:17:12,480 --> 00:17:15,840 Speaker 1: how we work and where we work, like trying to 268 00:17:15,880 --> 00:17:19,800 Speaker 1: teach ourselves how our own body works and becoming almost 269 00:17:19,880 --> 00:17:23,679 Speaker 1: like our own doctor in a way. I feel like 270 00:17:23,800 --> 00:17:25,199 Speaker 1: that's not the worst idea. 271 00:17:26,880 --> 00:17:29,879 Speaker 2: I agree with you. I think we need to take ownership. 272 00:17:30,400 --> 00:17:33,200 Speaker 2: There's a lot of passiveness at least what I see, 273 00:17:33,200 --> 00:17:36,200 Speaker 2: and people, you know, showing up at the emergency room 274 00:17:36,280 --> 00:17:38,919 Speaker 2: or urgent care or primary doc saying set fix me, 275 00:17:39,000 --> 00:17:39,560 Speaker 2: give me a pill. 276 00:17:39,760 --> 00:17:40,240 Speaker 1: Yeah. 277 00:17:40,480 --> 00:17:48,280 Speaker 2: Yeah, there's a certain you know, I don't know, demand 278 00:17:48,640 --> 00:17:52,680 Speaker 2: or desire to have it just you know, flip a 279 00:17:52,720 --> 00:17:53,600 Speaker 2: switch and make it better. 280 00:17:54,280 --> 00:17:59,840 Speaker 1: Yeah, we're seeing AI kind of creep into everything. Of course, 281 00:18:01,440 --> 00:18:04,760 Speaker 1: what's the what's happening in the medical space at the minute. 282 00:18:05,600 --> 00:18:08,800 Speaker 1: You guys using II in any capacity with your work, 283 00:18:08,960 --> 00:18:11,000 Speaker 1: and what do you think that This is a big 284 00:18:11,119 --> 00:18:12,960 Speaker 1: question calls. 285 00:18:14,080 --> 00:18:17,119 Speaker 2: First and foremost in the science side of things. AI 286 00:18:17,440 --> 00:18:22,000 Speaker 2: will improve our ability to make predictions and decisions based 287 00:18:22,040 --> 00:18:25,880 Speaker 2: on on scientific data. So many things in clinical medicine 288 00:18:25,920 --> 00:18:29,040 Speaker 2: are based on one to ten scales or these these 289 00:18:29,160 --> 00:18:32,640 Speaker 2: linear scales, whereas the true behavior is not a linear behavior, 290 00:18:33,240 --> 00:18:38,680 Speaker 2: and they're they're dummy down into into these uh you know, 291 00:18:38,760 --> 00:18:43,680 Speaker 2: the these non parametric, fuzzy symp systems are dummy down 292 00:18:43,720 --> 00:18:50,440 Speaker 2: into statistics of systems of numbers that don't work, and 293 00:18:50,920 --> 00:18:55,800 Speaker 2: we still use those because no one on the statistician 294 00:18:55,880 --> 00:19:00,920 Speaker 2: side called out the doctors long ago. H So AI 295 00:19:01,400 --> 00:19:04,320 Speaker 2: is a non parametric system. It allows us to take 296 00:19:05,320 --> 00:19:09,280 Speaker 2: different data that is weighted differently. It allows us to 297 00:19:09,359 --> 00:19:12,000 Speaker 2: assign weights to data and it's self assigns. That's the 298 00:19:12,040 --> 00:19:14,920 Speaker 2: beauty of it. So pattern recognition and medicine is the key. 299 00:19:15,400 --> 00:19:17,159 Speaker 2: AI is going to help us with that. It's going 300 00:19:17,200 --> 00:19:22,640 Speaker 2: to help us figure out more difficult things, difficult patterns 301 00:19:22,720 --> 00:19:24,919 Speaker 2: or things that fall out of a pattern is a pattern, 302 00:19:25,400 --> 00:19:30,000 Speaker 2: so you know that's important It's also helps us take 303 00:19:30,119 --> 00:19:33,280 Speaker 2: large amounts of data. You know, some people come to 304 00:19:33,280 --> 00:19:35,200 Speaker 2: me in a doc. I've been sick for years. I've 305 00:19:35,200 --> 00:19:39,520 Speaker 2: seen twenty doctors. Here's a big stack of records. If 306 00:19:39,560 --> 00:19:42,400 Speaker 2: you review these, you'll have a better sense of what's 307 00:19:42,440 --> 00:19:44,880 Speaker 2: going on with me. And that's you know, it's gargantuane work. 308 00:19:44,920 --> 00:19:46,720 Speaker 2: That's hours and hours of work that you don't get 309 00:19:46,720 --> 00:19:50,000 Speaker 2: reimbursed for. So so you could drop those into an 310 00:19:50,040 --> 00:19:53,960 Speaker 2: AI and say, summarize these and you know, don't leave 311 00:19:53,960 --> 00:19:57,080 Speaker 2: anything out, and you know, there's a lot that will 312 00:19:57,080 --> 00:20:00,399 Speaker 2: save us time and figuring out patients. And on the 313 00:20:00,400 --> 00:20:04,320 Speaker 2: therapeutic side, think about designing new enzymes and proteins and 314 00:20:04,440 --> 00:20:10,040 Speaker 2: medications for problems or peptides which is you know, growing 315 00:20:10,160 --> 00:20:14,439 Speaker 2: so fast. That's that's really the fun stuff, right, Design 316 00:20:14,520 --> 00:20:17,680 Speaker 2: me the best peptide that that binds and blocks this 317 00:20:17,800 --> 00:20:20,680 Speaker 2: receptor and causes people to be happy all the time, 318 00:20:20,720 --> 00:20:24,199 Speaker 2: you know, I mean you could get that right. 319 00:20:24,280 --> 00:20:30,639 Speaker 1: So and is II being uh is it being embraced 320 00:20:30,720 --> 00:20:34,199 Speaker 1: by the broader medical community. I feel like there's a 321 00:20:34,200 --> 00:20:36,840 Speaker 1: bit of division or a bit of polarization. Some people 322 00:20:36,840 --> 00:20:40,400 Speaker 1: are like running with it. Some people think it's dangerous. 323 00:20:40,600 --> 00:20:43,640 Speaker 1: Is there a general vibe in the medical community, Now, 324 00:20:43,680 --> 00:20:45,919 Speaker 1: that's fair what you're saying there. I think there is. 325 00:20:46,119 --> 00:20:50,320 Speaker 2: There is embracement of the technology because most people understand 326 00:20:50,440 --> 00:20:55,000 Speaker 2: the power of it. There are still those old fashioned 327 00:20:55,080 --> 00:21:00,320 Speaker 2: guys and gals who think it's witchcraft. But that's okay. 328 00:21:00,520 --> 00:21:05,440 Speaker 2: I mean, you know, open minds are the ones that 329 00:21:06,800 --> 00:21:10,600 Speaker 2: pushed the boundaries to help find and foster new ideas 330 00:21:10,680 --> 00:21:15,200 Speaker 2: that for success. So I think all in all, it's 331 00:21:15,840 --> 00:21:18,200 Speaker 2: it's here to stay, it's coming, it's getting better and better. 332 00:21:18,960 --> 00:21:21,200 Speaker 2: You know, we're using it for like a medical transcription, 333 00:21:21,840 --> 00:21:24,160 Speaker 2: so I don't have to type my notes or rely 334 00:21:24,280 --> 00:21:27,240 Speaker 2: on someone that's very expensive to type them up. I 335 00:21:27,359 --> 00:21:31,919 Speaker 2: can use an audio AI processor to try to understand 336 00:21:31,960 --> 00:21:36,720 Speaker 2: my big words by big medical words, which is way 337 00:21:36,760 --> 00:21:38,560 Speaker 2: better than me trying to write them down because my 338 00:21:38,560 --> 00:21:39,760 Speaker 2: handwriting is miserable. 339 00:21:41,400 --> 00:21:44,720 Speaker 1: Well, those days of fast disappearing where you're going to 340 00:21:44,760 --> 00:21:46,880 Speaker 1: actually have to use a pen and piper. I think 341 00:21:48,720 --> 00:21:51,560 Speaker 1: we spoke a little bit before about the speaking of 342 00:21:51,640 --> 00:21:59,040 Speaker 1: technology using apps and trackers and the like. Can you 343 00:21:59,080 --> 00:22:02,920 Speaker 1: tell I don't think we told Jeff the story. Just quickly, 344 00:22:02,960 --> 00:22:10,600 Speaker 1: your blood sugar monitor story. Yes, and the subsequent spiral 345 00:22:11,560 --> 00:22:13,280 Speaker 1: tiff Nelly talked herself into it. 346 00:22:13,400 --> 00:22:17,040 Speaker 3: Oh so suggestible put me under hypnosis in a heartbeat. 347 00:22:18,400 --> 00:22:21,720 Speaker 3: I got one of the continuous blood glucose monitors, Jeff, 348 00:22:22,280 --> 00:22:25,920 Speaker 3: because I was interested in looking at what my cookies 349 00:22:26,280 --> 00:22:28,320 Speaker 3: due to my blood sugar, so I would have ehter 350 00:22:28,560 --> 00:22:31,840 Speaker 3: data to convince myself not to have them so frequently. 351 00:22:32,640 --> 00:22:36,760 Speaker 3: And by the second day, I realized that I was 352 00:22:36,960 --> 00:22:42,080 Speaker 3: frequently dipping into hyperglycemia. That's the low blood sugar, isn't 353 00:22:42,119 --> 00:22:47,080 Speaker 3: it hypoglassic I was dipping down, and then as I 354 00:22:47,119 --> 00:22:50,680 Speaker 3: watched every night, I was going dropping down and staying 355 00:22:51,320 --> 00:22:56,840 Speaker 3: in that red rat. I was so traumatic, but in 356 00:22:56,920 --> 00:22:59,960 Speaker 3: no time I felt like I felt sick. I felt 357 00:23:00,160 --> 00:23:02,320 Speaker 3: I was so I went from starting to feel good 358 00:23:02,359 --> 00:23:08,080 Speaker 3: to feeling exhausted and horrific. And then just before booking 359 00:23:08,119 --> 00:23:11,159 Speaker 3: an endochronologist, I thought, I'll just duck up to the 360 00:23:11,240 --> 00:23:14,000 Speaker 3: chemist and I'll get myself a finger prick test, and 361 00:23:14,040 --> 00:23:16,480 Speaker 3: the glucose monitor was completely off. 362 00:23:19,000 --> 00:23:21,160 Speaker 1: We tell him what you said, tell him what your 363 00:23:21,200 --> 00:23:23,960 Speaker 1: actual score was, and tell him what the monitor said. 364 00:23:24,040 --> 00:23:27,840 Speaker 3: So it was dropping below three yeah, two point nine 365 00:23:27,880 --> 00:23:31,879 Speaker 3: to three, and the monitor was like five five to six. 366 00:23:34,440 --> 00:23:37,280 Speaker 2: Okay, we go off different units here, but I can 367 00:23:37,320 --> 00:23:41,359 Speaker 2: see the relative value of that. Now the device you had, 368 00:23:41,440 --> 00:23:43,480 Speaker 2: did it? Was it one you put on your arm 369 00:23:43,520 --> 00:23:48,240 Speaker 2: and it pricked your arm? And okay, was it calibrated properly? 370 00:23:49,119 --> 00:23:51,040 Speaker 3: Well, I don't know. 371 00:23:52,200 --> 00:23:54,399 Speaker 2: Well, I think there's a method to calibrate these things, 372 00:23:56,520 --> 00:24:00,240 Speaker 2: because usually those work pretty well. Something must have gone 373 00:24:00,280 --> 00:24:03,920 Speaker 2: wrong because I thought that with this hypoglycemia, the only 374 00:24:03,960 --> 00:24:05,720 Speaker 2: way to solve it was to have more cookies. 375 00:24:06,320 --> 00:24:10,520 Speaker 3: Well, I started eating oats before bed every night. I 376 00:24:10,560 --> 00:24:12,479 Speaker 3: put a lot three kilos in a week. 377 00:24:15,240 --> 00:24:17,600 Speaker 1: But you know what was funny was before that, right, 378 00:24:18,320 --> 00:24:21,560 Speaker 1: you kind of put the monitor on as more a 379 00:24:21,680 --> 00:24:25,960 Speaker 1: curiosity than any kind of you know, strategy, right, Yeah, 380 00:24:26,000 --> 00:24:29,000 Speaker 1: and then and you were feeling fine, and then you 381 00:24:29,080 --> 00:24:33,000 Speaker 1: didn't change any behavior. But then the monitor told you 382 00:24:33,080 --> 00:24:36,680 Speaker 1: that something bad was going on, which actually wasn't going on, 383 00:24:37,200 --> 00:24:40,800 Speaker 1: but you believed the data, not your own instinctive kind 384 00:24:40,800 --> 00:24:43,320 Speaker 1: of you know, like your body is like fine, but 385 00:24:43,440 --> 00:24:46,439 Speaker 1: this fucking piece of this gadget's telling you you're not fine. 386 00:24:46,920 --> 00:24:50,080 Speaker 1: And then you believe the gadget and you actually became sick. 387 00:24:50,720 --> 00:24:53,800 Speaker 3: Yes, I was so exhausted. 388 00:24:55,080 --> 00:25:00,679 Speaker 1: Afternoon. You are very very easily like, how suggestible you 389 00:25:01,119 --> 00:25:02,240 Speaker 1: very No. 390 00:25:02,359 --> 00:25:04,760 Speaker 2: No, The beauty here is she had to go all 391 00:25:04,800 --> 00:25:08,280 Speaker 2: the way to get a continuous glucose monitor because she 392 00:25:08,320 --> 00:25:12,880 Speaker 2: wanted to make sure that what she knew about having 393 00:25:12,880 --> 00:25:15,280 Speaker 2: too many cookies was actually the wrong it was actually 394 00:25:15,320 --> 00:25:18,359 Speaker 2: a good concept. She could have just she could have 395 00:25:18,440 --> 00:25:21,920 Speaker 2: just gone with her gut. Then don't. 396 00:25:22,040 --> 00:25:23,880 Speaker 1: I don't know why you just don't eat the cookies. 397 00:25:23,880 --> 00:25:26,080 Speaker 1: You've got the fastest metabolism in Australia. 398 00:25:26,119 --> 00:25:26,640 Speaker 2: It's a problem. 399 00:25:26,840 --> 00:25:28,120 Speaker 3: Do you just eat the cookies? 400 00:25:29,880 --> 00:25:32,280 Speaker 1: I mean she puts on muscle like a boode that's 401 00:25:32,320 --> 00:25:38,399 Speaker 1: on gear. I mean, it's so ridiculous. Yeah, imagine if 402 00:25:38,440 --> 00:25:41,240 Speaker 1: you did do something of an anabolic nature, we'd have 403 00:25:41,320 --> 00:25:48,400 Speaker 1: to call you Dave by about Wednesday. Speaking of gizmo's 404 00:25:48,440 --> 00:25:51,239 Speaker 1: and gadgets, are there any health or or are there 405 00:25:51,280 --> 00:25:56,159 Speaker 1: any gadgets that are being used in integrative medicine or 406 00:25:56,240 --> 00:26:00,240 Speaker 1: biohacking that are kind of emergent? Doc? Is there any 407 00:26:00,280 --> 00:26:01,960 Speaker 1: fun tech stuff that's happening? 408 00:26:03,040 --> 00:26:06,040 Speaker 2: Yeah? Where do we start? So let's let's start with 409 00:26:06,680 --> 00:26:13,119 Speaker 2: photobiomodulation infrared anti inflammatory panels. They make they make a 410 00:26:14,320 --> 00:26:17,240 Speaker 2: helmet to help stimulate hair growth. Probably too late for you, 411 00:26:17,640 --> 00:26:21,680 Speaker 2: but most most people, well just messing with you. 412 00:26:22,520 --> 00:26:27,080 Speaker 1: That's another twenty percent off your feet. 413 00:26:27,760 --> 00:26:32,520 Speaker 2: The uh. You can do a pulse electromagnetic field MATT 414 00:26:33,240 --> 00:26:37,800 Speaker 2: also another use of electromagnetic uh, you know forces. They 415 00:26:37,840 --> 00:26:41,479 Speaker 2: have vibration plates which you know, certain vibrations and even 416 00:26:41,800 --> 00:26:46,840 Speaker 2: sound and harmonics are stimulate, stimulating, you know, useful activities 417 00:26:46,840 --> 00:26:51,800 Speaker 2: within our cells. You also want to remove electromagnetic fields. 418 00:26:51,800 --> 00:26:55,040 Speaker 2: At other times, you can do a grounding matress pad 419 00:26:55,160 --> 00:26:58,159 Speaker 2: where you take the electric electricity out of your system. 420 00:26:58,160 --> 00:27:00,760 Speaker 2: You can ground in the on the earth with your 421 00:27:00,760 --> 00:27:04,840 Speaker 2: bare feet. Yeah, there's this tech called sunlight. We're supposed 422 00:27:04,840 --> 00:27:07,280 Speaker 2: to get sunlight on our body, not too much, but 423 00:27:07,359 --> 00:27:10,600 Speaker 2: also not too little, not just on our exposed areas. 424 00:27:10,600 --> 00:27:12,400 Speaker 2: Youve got to go out there and expose yourself a bit. 425 00:27:14,640 --> 00:27:17,440 Speaker 1: We've got is that why Tiff goes to the top 426 00:27:17,480 --> 00:27:20,560 Speaker 1: of the mountain and puts a butt towards the sky. 427 00:27:21,440 --> 00:27:26,520 Speaker 2: Well, apparently there's a whole group of people who expose 428 00:27:26,680 --> 00:27:30,000 Speaker 2: their privates to the sun now and there. Apparently is 429 00:27:30,119 --> 00:27:33,040 Speaker 2: very good for reproductive health and all kinds of things. 430 00:27:33,080 --> 00:27:35,160 Speaker 1: So did you know that, Tiff. That's why I said 431 00:27:35,160 --> 00:27:38,560 Speaker 1: that that's actually true. These people go out and they 432 00:27:38,560 --> 00:27:43,239 Speaker 1: stick their their buttthole, they're they just point it to 433 00:27:44,480 --> 00:27:50,840 Speaker 1: that's the sun. Yeah, that's right, just just sticking there 434 00:27:50,840 --> 00:27:55,640 Speaker 1: a nurse up towards the sun. So so don't come 435 00:27:55,680 --> 00:28:07,200 Speaker 1: over today between one and two. Imagine if you're out 436 00:28:07,240 --> 00:28:09,520 Speaker 1: doing a bushwalk and you just climb over the top 437 00:28:09,520 --> 00:28:11,159 Speaker 1: of the hill and they are a twenty people in 438 00:28:11,200 --> 00:28:16,320 Speaker 1: a paddock doing that. 439 00:28:14,160 --> 00:28:21,480 Speaker 2: That's the moon is facing the sun. So more back 440 00:28:21,480 --> 00:28:23,800 Speaker 2: to the health tech, if we're being on this vision 441 00:28:24,200 --> 00:28:27,399 Speaker 2: is you know the wearable health tech I think is great. 442 00:28:27,480 --> 00:28:30,480 Speaker 2: You can really track things, whether it's an Apple watch, 443 00:28:30,520 --> 00:28:33,480 Speaker 2: whoop band garment, or a ring. All these new rings 444 00:28:33,520 --> 00:28:36,639 Speaker 2: are coming out now with more enhanced I think they 445 00:28:36,720 --> 00:28:39,760 Speaker 2: got one ring I just ordered that charges itself on 446 00:28:39,800 --> 00:28:41,960 Speaker 2: your body heat. So I haven't tested it out yet, 447 00:28:41,960 --> 00:28:46,000 Speaker 2: but that makes sense. And they you know, we're going 448 00:28:46,040 --> 00:28:49,200 Speaker 2: to have they're available a little bit that they've got 449 00:28:49,200 --> 00:28:52,920 Speaker 2: these health monitoring clothes. They can check the electrolytes in 450 00:28:52,920 --> 00:28:58,880 Speaker 2: your sweat and different things pH and and you know 451 00:28:58,920 --> 00:29:01,320 Speaker 2: they've got things for toilets they measure what's in your 452 00:29:01,440 --> 00:29:05,600 Speaker 2: urine and other waste products coming. They've got new little 453 00:29:05,640 --> 00:29:09,240 Speaker 2: blood test devices where you can you can through micro 454 00:29:09,400 --> 00:29:12,360 Speaker 2: fluid channels take a little prick of blood and measure 455 00:29:12,440 --> 00:29:16,000 Speaker 2: quite a few things. You know, through a device you 456 00:29:16,080 --> 00:29:18,040 Speaker 2: might have at home, or if you're a biohacker, you 457 00:29:18,080 --> 00:29:24,280 Speaker 2: can check different things. And there are you know, besides 458 00:29:24,400 --> 00:29:27,480 Speaker 2: the the the electromagnetic suits you can wear when you 459 00:29:27,520 --> 00:29:32,200 Speaker 2: exercise to stimulate the muscles. You can use katsu bands, 460 00:29:32,240 --> 00:29:35,160 Speaker 2: you know, the the compression bands on the muscles to 461 00:29:35,520 --> 00:29:38,560 Speaker 2: take some of the blood float, get to failure quicker. 462 00:29:39,800 --> 00:29:42,200 Speaker 2: And I'm just scratching the surface. You know, there are 463 00:29:42,240 --> 00:29:44,600 Speaker 2: these we participate in these conferences they have here in 464 00:29:44,640 --> 00:29:47,560 Speaker 2: the States and probably not just the states where they 465 00:29:48,160 --> 00:29:51,520 Speaker 2: spoil this health tech. And it's it's just the ideas 466 00:29:51,560 --> 00:29:53,360 Speaker 2: are amazing. What's out there? 467 00:29:53,960 --> 00:29:59,520 Speaker 1: Do you follow that guide? Tif? Ben Greenfield's name, Yeah, 468 00:30:00,200 --> 00:30:04,160 Speaker 1: he's like he's full on a he's not a doctor 469 00:30:04,200 --> 00:30:06,240 Speaker 1: or any I think he's got a master's in something, 470 00:30:06,280 --> 00:30:10,960 Speaker 1: but he's very he's in the mix. There isn't he doc? 471 00:30:11,000 --> 00:30:12,280 Speaker 1: Am I thinking that the right guy? 472 00:30:12,880 --> 00:30:17,600 Speaker 2: Yeah? You are. He's he's a very big biohacker. He's 473 00:30:17,680 --> 00:30:19,680 Speaker 2: very active guy, doing lots of different things. He's out 474 00:30:19,680 --> 00:30:22,680 Speaker 2: there a lot, a lot to be learned from his 475 00:30:22,960 --> 00:30:25,400 Speaker 2: experiment self experimentation for sure. 476 00:30:25,440 --> 00:30:30,720 Speaker 1: Yeah, I always wonder like the you know, how he is. 477 00:30:31,320 --> 00:30:36,280 Speaker 1: How some people like really kind of consciously and strategically 478 00:30:36,640 --> 00:30:39,640 Speaker 1: manage their health in an intelligent way, you know, make 479 00:30:39,640 --> 00:30:42,920 Speaker 1: the decisions try and you know, turn off screens two 480 00:30:42,920 --> 00:30:45,880 Speaker 1: hours before bed, all the kind of you know, sleep well, 481 00:30:45,920 --> 00:30:49,320 Speaker 1: move well, you know, micro macro. And then there are 482 00:30:49,360 --> 00:30:54,160 Speaker 1: other people who more worry about their health. And then 483 00:30:54,200 --> 00:30:58,760 Speaker 1: it's almost like it moves sometimes from being like a 484 00:30:58,840 --> 00:31:02,040 Speaker 1: discipline and a protocol and a strategy that works to 485 00:31:02,120 --> 00:31:06,120 Speaker 1: an obsession that creates anxiety and stress. And so I'm 486 00:31:06,160 --> 00:31:09,240 Speaker 1: probably one of those people where I need to be 487 00:31:09,400 --> 00:31:15,000 Speaker 1: careful that I don't get obsessed with everything, you know, 488 00:31:15,200 --> 00:31:20,400 Speaker 1: Like otherwise it goes from like I weigh my breakfast 489 00:31:20,400 --> 00:31:23,040 Speaker 1: every morning, like I have certain ingredients and I just 490 00:31:23,160 --> 00:31:25,480 Speaker 1: know where I have this many grams of this, this 491 00:31:25,680 --> 00:31:28,320 Speaker 1: many grams of that. But I need to be careful that, 492 00:31:28,520 --> 00:31:31,880 Speaker 1: like because sometimes I'll take one nut on or add 493 00:31:32,720 --> 00:31:35,120 Speaker 1: you know, remove, or I'm like, what am I fucking doing? 494 00:31:35,400 --> 00:31:39,640 Speaker 1: It's one gram and I have to catch myself. I 495 00:31:39,680 --> 00:31:43,440 Speaker 1: think there's a time where it's like you move from 496 00:31:43,480 --> 00:31:47,840 Speaker 1: being like disciplined and focused and kind of organized to 497 00:31:47,960 --> 00:31:51,400 Speaker 1: being obsessed. I wonder where that line is, and I 498 00:31:51,480 --> 00:31:54,800 Speaker 1: wonder how we recognize when we're stepping into. You know, 499 00:31:54,960 --> 00:31:59,440 Speaker 1: now I'm creating I'm creating stress and anxiety around. All 500 00:31:59,480 --> 00:32:01,880 Speaker 1: of this in itself is bad for my health. 501 00:32:02,760 --> 00:32:07,360 Speaker 2: Yeah, I think because you're aware of it, you're probably 502 00:32:08,280 --> 00:32:13,160 Speaker 2: safe from suffering it. Yeah, it is a thing. We 503 00:32:13,240 --> 00:32:18,760 Speaker 2: see that the paralysis by analysis and stress by analysis, 504 00:32:18,800 --> 00:32:22,160 Speaker 2: and well, you know, you're spending your whole day analyzing 505 00:32:22,200 --> 00:32:23,520 Speaker 2: and you're not actually doing anything. 506 00:32:23,680 --> 00:32:28,680 Speaker 1: So if people are not exercising, I know you're not 507 00:32:28,720 --> 00:32:31,600 Speaker 1: the exercise guy, but you kind of are. I mean, 508 00:32:31,640 --> 00:32:34,880 Speaker 1: you work out yourself, and you're in this space people 509 00:32:36,000 --> 00:32:39,160 Speaker 1: are doing not much like other than just general movement, 510 00:32:39,400 --> 00:32:43,640 Speaker 1: kind of incidental activity, maybe a bit of occupational activity. 511 00:32:44,120 --> 00:32:47,720 Speaker 1: Would you prioritize strength over cardio or cardio over strength 512 00:32:47,760 --> 00:32:50,560 Speaker 1: if somebody was and I know we want both, but 513 00:32:50,800 --> 00:32:51,400 Speaker 1: for you. 514 00:32:53,280 --> 00:32:57,120 Speaker 2: I think longevity requires muscle mouse So I probably go 515 00:32:57,200 --> 00:33:02,240 Speaker 2: with strength over cry of vascular because you do use 516 00:33:02,280 --> 00:33:06,320 Speaker 2: your cardiovascular system when you're doing strength training. You don't 517 00:33:06,360 --> 00:33:09,600 Speaker 2: necessarily you build strength when you're doing cardiovascular training. 518 00:33:11,000 --> 00:33:14,880 Speaker 1: I picked you, what's your protocol? How many dies awake? 519 00:33:14,920 --> 00:33:16,960 Speaker 1: Are you lifting heavy stuff? Oh? 520 00:33:17,040 --> 00:33:23,360 Speaker 2: Gosh, when I'm well behaved, it's plates three days. I 521 00:33:23,360 --> 00:33:25,360 Speaker 2: don't know that I call that heavy, but it is. 522 00:33:25,560 --> 00:33:29,080 Speaker 2: It is weight bearing of sorts, and it's I work 523 00:33:29,160 --> 00:33:32,520 Speaker 2: the stabilizers and things like that, and then the other 524 00:33:32,560 --> 00:33:36,480 Speaker 2: three days when behaved is heavy. One set to failure 525 00:33:37,400 --> 00:33:42,360 Speaker 2: workout mixed with twenty to thirty minutes of interval high 526 00:33:42,360 --> 00:33:45,360 Speaker 2: intensity low intensity cardio, up and down, up and down. 527 00:33:46,480 --> 00:33:49,080 Speaker 1: Is there anything that you, in terms of your own 528 00:33:49,280 --> 00:33:53,440 Speaker 1: kind of protocol have changed? Well done A one id 529 00:33:53,600 --> 00:33:55,480 Speaker 1: on over the last side deck? 530 00:33:55,600 --> 00:33:59,440 Speaker 2: Ye oh yeah, yeah. I mean I used to think 531 00:33:59,440 --> 00:34:03,080 Speaker 2: that you had to do more reps, you know, to 532 00:34:03,120 --> 00:34:06,000 Speaker 2: get muscles. That's not the case, you know, because then 533 00:34:06,040 --> 00:34:08,760 Speaker 2: you're just doing reps and you're not necessarily working to failure. 534 00:34:09,600 --> 00:34:12,440 Speaker 2: I used to think cardio was was also time on 535 00:34:12,480 --> 00:34:15,240 Speaker 2: the treadmill, or time running or time bicycling or whatever. 536 00:34:15,520 --> 00:34:20,239 Speaker 2: It's not. It's more about strategic intervals and things. And 537 00:34:20,320 --> 00:34:22,440 Speaker 2: you know what, you can build your cardiovascular system in 538 00:34:22,440 --> 00:34:25,600 Speaker 2: a hot Sama just sitting there, So there are otherwise 539 00:34:25,640 --> 00:34:30,439 Speaker 2: to work on your cardiovascular system. I used to think 540 00:34:30,480 --> 00:34:37,279 Speaker 2: that Ploate's was for the ladies, and. 541 00:34:35,640 --> 00:34:38,120 Speaker 1: I I'm glad you've done the one idea on that, 542 00:34:38,239 --> 00:34:40,239 Speaker 1: but all consers. 543 00:34:40,280 --> 00:34:44,800 Speaker 2: It's quite good. I mean really, I have definitions and 544 00:34:45,880 --> 00:34:49,840 Speaker 2: muscle fibers in places I've never had them. You know, 545 00:34:50,000 --> 00:34:51,759 Speaker 2: you look at the leg and you could, oh, yeah, 546 00:34:51,800 --> 00:34:54,000 Speaker 2: I remember studying that one in medical school. 547 00:34:54,440 --> 00:34:55,719 Speaker 1: Yeah. Yeah, yeah. 548 00:34:56,080 --> 00:34:59,000 Speaker 2: Although it's pretty cool. So those are some of the things. 549 00:34:59,040 --> 00:35:02,520 Speaker 1: I What do you do do you do reformer PLARTI 550 00:35:02,600 --> 00:35:03,919 Speaker 1: is that like right in the bed? 551 00:35:04,920 --> 00:35:07,720 Speaker 2: Yeah, we do a class usually five or seven people, 552 00:35:07,960 --> 00:35:11,680 Speaker 2: and we try to go early and get it out 553 00:35:11,680 --> 00:35:13,120 Speaker 2: of the way and get some energy for the day. 554 00:35:13,160 --> 00:35:16,920 Speaker 2: That really gives me a mental boost, I think as 555 00:35:16,920 --> 00:35:18,520 Speaker 2: well the blood flow or something. 556 00:35:19,520 --> 00:35:22,680 Speaker 1: And what's your like for you personally? What's your optimal 557 00:35:22,800 --> 00:35:26,920 Speaker 1: time of day for say training or working out versus 558 00:35:27,400 --> 00:35:31,719 Speaker 1: cognitive performance? Like my my brain, my brain seems to 559 00:35:31,760 --> 00:35:33,560 Speaker 1: work better between when I get out of bed and 560 00:35:33,640 --> 00:35:38,320 Speaker 1: about three. That seems to be when I'm the smartest. 561 00:35:39,360 --> 00:35:43,399 Speaker 2: I agree, I am more motivated, more, I get more 562 00:35:43,440 --> 00:35:47,040 Speaker 2: done in shorter time. In the first half of the 563 00:35:47,120 --> 00:35:54,720 Speaker 2: day mentally, However, historically, I love you know, something about 564 00:35:54,719 --> 00:36:00,600 Speaker 2: that late afternoon sun that says beautiful, Well, let's go 565 00:36:00,680 --> 00:36:05,120 Speaker 2: for a run. So getting up in the morning was 566 00:36:05,920 --> 00:36:08,319 Speaker 2: and getting to the gym, and it has been something 567 00:36:08,320 --> 00:36:13,880 Speaker 2: we've done in the last year. Yeah, at the insistence 568 00:36:13,920 --> 00:36:15,560 Speaker 2: of my wife is like, come on, come on, come on. 569 00:36:15,600 --> 00:36:17,600 Speaker 2: I'm fine, Okay, let's do it. And now I'm kind 570 00:36:17,600 --> 00:36:22,920 Speaker 2: of used to it. And if I though, if I 571 00:36:22,960 --> 00:36:25,000 Speaker 2: were left to my own devices, I probably go in 572 00:36:25,000 --> 00:36:28,000 Speaker 2: the afternoon to the gym. When my brain is done 573 00:36:28,040 --> 00:36:30,120 Speaker 2: for the day, I go to the gym and then 574 00:36:30,640 --> 00:36:33,759 Speaker 2: you know, that's my destressed time. I can relax. That's 575 00:36:33,800 --> 00:36:36,040 Speaker 2: my relaxing. It's better than sitting in front of the TV. 576 00:36:37,000 --> 00:36:39,440 Speaker 1: Is your job stressful? I mean I know that, I 577 00:36:39,520 --> 00:36:43,360 Speaker 1: know that you're dealing with complicated medical issues and people 578 00:36:43,400 --> 00:36:46,799 Speaker 1: with real problems, But is the does it stress you? 579 00:36:46,960 --> 00:36:49,279 Speaker 1: Or do you? Are you kind of, for one of 580 00:36:49,320 --> 00:36:52,040 Speaker 1: a better term, immune to that. Like I do a 581 00:36:52,040 --> 00:36:54,480 Speaker 1: lot of work, but I don't get stressed in my work. 582 00:36:55,160 --> 00:36:59,919 Speaker 2: I aside from this challenging podcast, I do with this 583 00:37:00,160 --> 00:37:06,839 Speaker 2: slow and understandably. Yeah, I you know, remember I'm I'm 584 00:37:07,160 --> 00:37:11,160 Speaker 2: recovering neurosurgeon, so stress to me was an aneurysm rupturing 585 00:37:11,200 --> 00:37:14,319 Speaker 2: in my face while before I clipped it. Or you know, 586 00:37:15,040 --> 00:37:18,200 Speaker 2: someone dropping their blood pressure on the operating room table 587 00:37:18,239 --> 00:37:21,440 Speaker 2: when I'm trying to finish the surgery. That's stress. So 588 00:37:21,520 --> 00:37:26,640 Speaker 2: everything else is a bit. I'm well adapted to everything else. 589 00:37:27,719 --> 00:37:29,600 Speaker 2: Can there be stress? Yeah, when I get behind with 590 00:37:29,680 --> 00:37:32,120 Speaker 2: patients in a day and I've got I'm backed up 591 00:37:32,160 --> 00:37:36,200 Speaker 2: and I'm making people wait, I get a little uh. 592 00:37:36,800 --> 00:37:39,760 Speaker 2: I get a little stress, but nothing I can't handle. 593 00:37:39,920 --> 00:37:43,920 Speaker 2: There The other stresses out there are more social, the 594 00:37:44,760 --> 00:37:47,919 Speaker 2: haters on the internet who who aren't ready for prime 595 00:37:47,960 --> 00:37:52,800 Speaker 2: time with regenerative medicine. There are a lot of bad 596 00:37:52,880 --> 00:37:56,719 Speaker 2: behaviors out there in people who are either not loved 597 00:37:56,719 --> 00:37:58,799 Speaker 2: by their parents or something. I don't know. 598 00:38:02,120 --> 00:38:05,160 Speaker 1: I feel like as we get well, for me anyway, 599 00:38:06,000 --> 00:38:11,560 Speaker 1: as I get older, ironically, i'm more interested in I'm 600 00:38:11,560 --> 00:38:14,080 Speaker 1: interested in my body working well. I'm interested in strength 601 00:38:14,120 --> 00:38:19,239 Speaker 1: and bone density and posture and you know, cardiovascular health 602 00:38:19,239 --> 00:38:21,200 Speaker 1: and all of those things. But I'm most interested for 603 00:38:21,320 --> 00:38:25,239 Speaker 1: me in cognitive performance, just because I need my brain 604 00:38:25,280 --> 00:38:28,000 Speaker 1: to work optimally because of all the stuff that I do, 605 00:38:28,080 --> 00:38:32,960 Speaker 1: and teaching and communicating and problem solving and working with 606 00:38:33,040 --> 00:38:38,520 Speaker 1: audiences big and small. What what should what could? What 607 00:38:38,560 --> 00:38:41,319 Speaker 1: could people think about in terms of other than all 608 00:38:41,320 --> 00:38:45,320 Speaker 1: the normal stuff like learning and you know, giving themselves 609 00:38:45,360 --> 00:38:49,280 Speaker 1: cognitive tasks. Are there any supplements or anything that people 610 00:38:50,320 --> 00:38:53,000 Speaker 1: can use that might help the way their brain works 611 00:38:53,320 --> 00:38:55,680 Speaker 1: that that kind of get the doctor Jeff tick. 612 00:38:56,560 --> 00:39:02,440 Speaker 2: Yeah. Absolutely, I'm very big on adaptogens, like some of 613 00:39:02,440 --> 00:39:05,880 Speaker 2: the mushrooms out there, not those funny ones, Tiff, but 614 00:39:05,960 --> 00:39:06,920 Speaker 2: the uh. 615 00:39:07,360 --> 00:39:09,719 Speaker 1: The well then Tiff just switched off. 616 00:39:10,440 --> 00:39:15,680 Speaker 2: I figured the lion's main shaga, you know, some of 617 00:39:15,680 --> 00:39:18,319 Speaker 2: the ratie, some of some of the the you know, 618 00:39:18,520 --> 00:39:22,120 Speaker 2: pro pro cerebral ones are very good. There are other 619 00:39:22,200 --> 00:39:28,319 Speaker 2: neutropic stimulants that people take that can be useful. You know. 620 00:39:28,400 --> 00:39:31,800 Speaker 2: The nootropic world is huge and you can look online. 621 00:39:31,840 --> 00:39:36,040 Speaker 2: People are using all kinds of things for mental stimulation. Uh, 622 00:39:36,600 --> 00:39:39,520 Speaker 2: you know, and getting more out of that. You know. Uh, 623 00:39:39,760 --> 00:39:42,319 Speaker 2: there's a drug here in America we use for nausea 624 00:39:42,880 --> 00:39:45,560 Speaker 2: called zofran is the brand name. Do you guys have Zofran? 625 00:39:46,840 --> 00:39:48,600 Speaker 1: I haven't, I haven't heard of it. 626 00:39:48,640 --> 00:39:56,960 Speaker 2: But on danceatron is the generic okay, and on Danceatron 627 00:39:57,560 --> 00:40:04,720 Speaker 2: was originally studied as is a cognitive enhancer. So you 628 00:40:04,719 --> 00:40:06,840 Speaker 2: you would take some in dance tron and go study 629 00:40:06,840 --> 00:40:12,000 Speaker 2: for your test if you're a student, and and then 630 00:40:12,400 --> 00:40:16,440 Speaker 2: uh later, you know, you you would maybe take some 631 00:40:16,480 --> 00:40:18,319 Speaker 2: of the time of the test and you would have 632 00:40:18,400 --> 00:40:22,800 Speaker 2: better results. So that's that's the kind of thing that 633 00:40:22,800 --> 00:40:23,760 Speaker 2: that we've seen there. 634 00:40:24,760 --> 00:40:27,600 Speaker 1: I can't believe that. Usually usually the things that we 635 00:40:27,719 --> 00:40:31,520 Speaker 1: find out have some kind of cognitive benefit or neutropic effect. 636 00:40:32,040 --> 00:40:35,879 Speaker 1: It's almost like that's an accident. Well, that's just a 637 00:40:36,000 --> 00:40:38,760 Speaker 1: you know, like with my define which is that anti 638 00:40:38,880 --> 00:40:43,520 Speaker 1: Noocalypsey drug, Well, that nocalypsy drug, I should say, I 639 00:40:43,560 --> 00:40:45,200 Speaker 1: don't know what the brand I don't know what the 640 00:40:45,239 --> 00:40:47,600 Speaker 1: actual name of that is, but the brand name in 641 00:40:47,640 --> 00:40:49,600 Speaker 1: Australia is my definite. Have you heard of that? 642 00:40:50,080 --> 00:40:52,640 Speaker 2: Definitely we have that too, which is actually used as 643 00:40:52,680 --> 00:40:53,759 Speaker 2: a longevity drug. 644 00:40:53,840 --> 00:40:58,640 Speaker 1: Now really really yeah, I want to ask you about that. 645 00:40:58,680 --> 00:41:00,320 Speaker 1: I want to ask you about it. I want to 646 00:41:00,400 --> 00:41:02,480 Speaker 1: ask you about that off air because I don't want 647 00:41:02,520 --> 00:41:07,839 Speaker 1: people jumping on any protocol. Yeah, that's bloody amazing, And 648 00:41:07,880 --> 00:41:11,080 Speaker 1: what about here's my last one just for you in 649 00:41:11,160 --> 00:41:16,520 Speaker 1: terms of before we wind up. So stimulants like coffee, tea, 650 00:41:18,360 --> 00:41:21,520 Speaker 1: what's your theory on that? Is that just an individual thing? 651 00:41:22,080 --> 00:41:24,600 Speaker 1: How many coffees people can have and not kind of 652 00:41:24,640 --> 00:41:27,680 Speaker 1: fuck up their nervous system or keep them awake or not. 653 00:41:28,680 --> 00:41:32,799 Speaker 2: Yeah, it is individualized. You know. I have people that 654 00:41:32,880 --> 00:41:34,839 Speaker 2: can drink a pot of coffee and go to sleep. 655 00:41:34,920 --> 00:41:36,920 Speaker 2: I have other people that you know, you can't touch 656 00:41:36,960 --> 00:41:40,120 Speaker 2: it after two pm, it'll be up all night. So 657 00:41:40,360 --> 00:41:45,200 Speaker 2: it's it's highly individualized. And how's to do with the 658 00:41:45,360 --> 00:41:50,600 Speaker 2: speed in which you metabolize caffeine into its next molecule 659 00:41:50,680 --> 00:41:53,680 Speaker 2: in the chain of being broken down, which is called parizanthine. 660 00:41:54,280 --> 00:41:58,880 Speaker 2: Paris Anthene is the next pathway from the breakdown of caffeine, 661 00:42:00,160 --> 00:42:05,760 Speaker 2: theobromine which you find in like chocolate, and one other 662 00:42:06,120 --> 00:42:08,239 Speaker 2: methyls antheine. I can't remember the name of it top 663 00:42:08,239 --> 00:42:12,319 Speaker 2: of my head. So some people suggest instead of having 664 00:42:12,360 --> 00:42:16,759 Speaker 2: a caffeine drink, if you want a more stable profile, 665 00:42:16,880 --> 00:42:21,759 Speaker 2: not that spike and then crash. They actually now make 666 00:42:21,880 --> 00:42:26,080 Speaker 2: paraxanthine drinks, so you skip that caffeine step. Because that 667 00:42:26,120 --> 00:42:30,640 Speaker 2: caffeine metabolism step is variable, and how fast you break it. 668 00:42:30,560 --> 00:42:35,680 Speaker 1: Down parazan thinge what all right? 669 00:42:35,840 --> 00:42:41,960 Speaker 2: Xantheine with an ax okaya x a N paraxanthine and 670 00:42:42,000 --> 00:42:44,480 Speaker 2: that's uh. If you look up the biochemistry as a 671 00:42:44,520 --> 00:42:48,520 Speaker 2: theobromine from chocolate and they all so so why don't 672 00:42:48,520 --> 00:42:52,080 Speaker 2: you give dogs chocolate as they metabolize that into the 673 00:42:52,080 --> 00:42:56,840 Speaker 2: paraz aanthein. It's too much of a cardiac stimulant for them. 674 00:42:57,040 --> 00:43:00,319 Speaker 1: There you go, speaking dogs, tiss. Little puppy is not well. 675 00:43:00,360 --> 00:43:04,319 Speaker 1: So she's about to head off to the vet, aren't you. Yes, 676 00:43:06,080 --> 00:43:08,960 Speaker 1: well you can take her into the vet now and 677 00:43:09,120 --> 00:43:11,160 Speaker 1: ring me later and tell me how she is. Tell 678 00:43:11,280 --> 00:43:14,000 Speaker 1: us how she is. Doctor Jeff will say goodbye, Fair 679 00:43:14,040 --> 00:43:16,720 Speaker 1: But we love we love you, and we love having 680 00:43:16,719 --> 00:43:18,520 Speaker 1: you on the show, and our audience loves you and 681 00:43:18,560 --> 00:43:21,319 Speaker 1: we appreciate you. So thanks for taking the time out 682 00:43:21,880 --> 00:43:24,600 Speaker 1: despite all the piss taking. Thanks for taking the time 683 00:43:24,640 --> 00:43:26,400 Speaker 1: out to connect with us. 684 00:43:27,040 --> 00:43:29,319 Speaker 2: Thank you for again having me on the show. And 685 00:43:29,360 --> 00:43:32,480 Speaker 2: for the listeners out there. I'm only getting twenty five 686 00:43:32,480 --> 00:43:35,200 Speaker 2: percent of zero for this, so if you feel I 687 00:43:35,239 --> 00:43:39,320 Speaker 2: deserve more, please write in send us a message. James. 688 00:43:40,120 --> 00:43:42,400 Speaker 2: We'll take a vote. Maybe we can we can raise 689 00:43:42,440 --> 00:43:44,120 Speaker 2: myself back to fifty percent of zero. 690 00:43:44,840 --> 00:43:47,560 Speaker 1: Yeah, you know, I may even give you a raise, 691 00:43:47,760 --> 00:43:51,160 Speaker 1: so zero plus fifty percent. Moving forward, we'll have to 692 00:43:51,200 --> 00:43:54,400 Speaker 1: renew your contract. Get your lawyers to call my lawyers, 693 00:43:54,400 --> 00:43:57,200 Speaker 1: and we'll see what we can make happen. We'll talk offair, 694 00:43:57,239 --> 00:43:58,920 Speaker 1: but thanks, We appreciate you. 695 00:43:59,560 --> 00:44:00,399 Speaker 2: Always take care