1 00:00:01,280 --> 00:00:06,040 Speaker 1: Emily, I'm very excited for this episode about testosterone, as 2 00:00:06,080 --> 00:00:08,799 Speaker 1: you know, we you know, we just did the Hormone 3 00:00:08,800 --> 00:00:12,240 Speaker 1: replacement Therapy SOR for women episode last week, and honestly, 4 00:00:12,360 --> 00:00:17,959 Speaker 1: there is a vast deference between estrogen and testosterone, and 5 00:00:18,000 --> 00:00:20,880 Speaker 1: I'm excited to explore that. I think this is going 6 00:00:20,920 --> 00:00:22,919 Speaker 1: to be a seminal episode. 7 00:00:24,000 --> 00:00:27,600 Speaker 2: I can't even react to you, but I will say 8 00:00:27,680 --> 00:00:31,080 Speaker 2: that last week you gave a whole long open about 9 00:00:31,080 --> 00:00:32,760 Speaker 2: how you weren't going to talk about mint. 10 00:00:32,760 --> 00:00:34,519 Speaker 3: You weren't going a man's plain. You're working a blah 11 00:00:34,560 --> 00:00:36,080 Speaker 3: blah blah. I'm not giving that. 12 00:00:36,560 --> 00:00:38,280 Speaker 1: I am going a woman's plain all over. 13 00:00:38,479 --> 00:00:40,120 Speaker 3: I am a woman's plain. I'm not sorry. 14 00:00:40,400 --> 00:00:42,279 Speaker 2: I'm going to say all kinds of feelings I have 15 00:00:42,360 --> 00:00:47,519 Speaker 2: about testosterone and science, and even though I only have 16 00:00:47,840 --> 00:00:49,720 Speaker 2: a little bit of it, I assume. 17 00:00:50,159 --> 00:00:52,879 Speaker 1: I mean, Emily, I'm glad that you have the balls 18 00:00:53,000 --> 00:00:56,080 Speaker 1: to uh to really address this. Okay, I think I 19 00:00:56,120 --> 00:00:57,080 Speaker 1: have about eight more. 20 00:00:57,360 --> 00:00:59,440 Speaker 2: Yeah, you know what, I think that was three was 21 00:00:59,480 --> 00:01:01,560 Speaker 2: really good through vast Deeferens was. 22 00:01:01,520 --> 00:01:02,680 Speaker 3: Definitely the best. 23 00:01:02,760 --> 00:01:04,920 Speaker 2: The balls kind of is low, and so that's where 24 00:01:04,959 --> 00:01:06,399 Speaker 2: I think we should just move forward. 25 00:01:06,959 --> 00:01:10,720 Speaker 1: Okay, all right, Testosterone in a nutshell After the break. 26 00:01:13,560 --> 00:01:16,679 Speaker 2: I'm Emily Astro, I'm an economist and a data expert. 27 00:01:16,720 --> 00:01:18,800 Speaker 1: And I'm Perry Wilson, I'm a medical doctor. 28 00:01:19,040 --> 00:01:22,160 Speaker 2: It's Thursday, April thirtieth, twenty twenty six. 29 00:01:22,240 --> 00:01:24,000 Speaker 3: And this is wellness. 30 00:01:23,720 --> 00:01:27,400 Speaker 1: Actually, because you're getting a staggering amount of health and 31 00:01:27,440 --> 00:01:31,440 Speaker 1: wellness information nowadays from every source imaginable, and some of 32 00:01:31,480 --> 00:01:33,400 Speaker 1: it is awesome and some. 33 00:01:33,319 --> 00:01:36,240 Speaker 3: Of it is well actually both. 34 00:01:37,200 --> 00:01:40,200 Speaker 2: Fortunately, we're both people who know how to read studies, 35 00:01:40,480 --> 00:01:42,800 Speaker 2: how to parse the data, and can tell you what's 36 00:01:42,800 --> 00:01:45,640 Speaker 2: worth thinking about and what you can safely ignore. 37 00:01:45,959 --> 00:01:48,240 Speaker 1: But before we dig in, a note that this podcast 38 00:01:48,320 --> 00:01:50,880 Speaker 1: is for educational purposes and should not be construed as 39 00:01:50,920 --> 00:01:54,160 Speaker 1: medical advice. We don't know your unique situation, so talk 40 00:01:54,160 --> 00:01:56,040 Speaker 1: to your doctor for personal health decisions. 41 00:01:57,400 --> 00:02:00,600 Speaker 2: This week we're asking what's the deal with testosterone. 42 00:02:01,280 --> 00:02:03,680 Speaker 3: It's part two of our hormone two parter. 43 00:02:04,440 --> 00:02:06,520 Speaker 2: Perry and I will give the official smash or pass, 44 00:02:06,640 --> 00:02:08,360 Speaker 2: and then we'll get to your question of the week. 45 00:02:08,520 --> 00:02:11,639 Speaker 2: But first let's do the health news roundup after the break, 46 00:02:24,000 --> 00:02:26,600 Speaker 2: and now for the health news of the week, Perry, 47 00:02:27,320 --> 00:02:32,760 Speaker 2: no more flu vaccine mandates for military troops. The Department 48 00:02:32,800 --> 00:02:36,320 Speaker 2: of Defense Pete Hegseth has said we will not be 49 00:02:36,400 --> 00:02:39,560 Speaker 2: having required flu vaccines for the military. 50 00:02:40,880 --> 00:02:46,280 Speaker 1: Your thoughts, Yeah, this is weird when it comes to 51 00:02:46,600 --> 00:02:50,760 Speaker 1: combat readiness. You know, the military has long and in 52 00:02:50,840 --> 00:02:56,680 Speaker 1: multiple domains, had less freedoms than the public sector or 53 00:02:57,000 --> 00:02:59,160 Speaker 1: than the rest of us. Right, you know, think about 54 00:02:59,160 --> 00:03:01,960 Speaker 1: like free speech, even there are limitations on that in 55 00:03:01,960 --> 00:03:06,120 Speaker 1: the military because it is a job that has obviously 56 00:03:06,840 --> 00:03:11,040 Speaker 1: very specific risks and is so vital to national security, 57 00:03:11,360 --> 00:03:16,520 Speaker 1: and combat readiness is in part determined by the health 58 00:03:16,560 --> 00:03:18,799 Speaker 1: of the troops in terms of infectious diseases. I mean, 59 00:03:18,800 --> 00:03:21,880 Speaker 1: if you look at like the history of warfare, you 60 00:03:21,919 --> 00:03:27,639 Speaker 1: would find that infection has killed vastly more soldiers than 61 00:03:28,520 --> 00:03:33,440 Speaker 1: combat is often responsible for losing the war. I mean, 62 00:03:33,480 --> 00:03:36,760 Speaker 1: one of the reasons the Americans were able to hold 63 00:03:36,760 --> 00:03:39,760 Speaker 1: out during the Revolutionary War was because Washington made the 64 00:03:40,080 --> 00:03:45,440 Speaker 1: rather bold and somewhat risky decision to force smallpox vaccination 65 00:03:45,960 --> 00:03:50,200 Speaker 1: or inoculation really on all the Revolutionary War troops. It's 66 00:03:50,240 --> 00:03:54,800 Speaker 1: hard not even speaking of just about influenza's kind of random. Obviously, 67 00:03:54,800 --> 00:03:58,720 Speaker 1: there's a bunch of vaccines that the troops, get me 68 00:03:58,800 --> 00:04:04,640 Speaker 1: ninjaccle disease, have a hepatitis B, pertussis, diphtheria, so many 69 00:04:04,680 --> 00:04:06,800 Speaker 1: So I don't know why we're isolating influenza. And like, 70 00:04:07,000 --> 00:04:13,000 Speaker 1: let's not forget that the worst influenza pandemic in history occurred. 71 00:04:13,160 --> 00:04:16,000 Speaker 1: This is the Spanish flu so called Spanish flu influenza 72 00:04:16,000 --> 00:04:19,159 Speaker 1: pandemic occurred after World War One because a bunch of 73 00:04:19,800 --> 00:04:24,040 Speaker 1: infected troops brought brought the virus home. So a weird decision. 74 00:04:24,279 --> 00:04:29,000 Speaker 1: It feels completely like brazenly sort of political to me, 75 00:04:29,080 --> 00:04:32,280 Speaker 1: I see no justification for this in a rational society. 76 00:04:32,760 --> 00:04:34,800 Speaker 2: Yeah, I mean, I will say I think this feels 77 00:04:34,800 --> 00:04:37,400 Speaker 2: like just a complete political move to me, in the 78 00:04:37,440 --> 00:04:41,000 Speaker 2: sense that it's, you know, relative to other vaccines they 79 00:04:41,000 --> 00:04:45,120 Speaker 2: could have turned against. I don't know why it's they 80 00:04:45,200 --> 00:04:47,479 Speaker 2: chose this one, but it's one that you know, people 81 00:04:47,520 --> 00:04:50,160 Speaker 2: are having every year, and there's a lot of political 82 00:04:50,240 --> 00:04:54,680 Speaker 2: resistance too, and so it feels like it's this or 83 00:04:54,720 --> 00:04:56,960 Speaker 2: the COVID vaccine. I think they already don't require the 84 00:04:56,960 --> 00:04:59,040 Speaker 2: covid vaccine, so that's I. 85 00:04:58,960 --> 00:05:01,760 Speaker 1: Think that's that's correct. Two viruses, by the way, that 86 00:05:02,000 --> 00:05:11,520 Speaker 1: just really enjoys spreading in close quarter conditions. It's pretty random. Okay, 87 00:05:12,160 --> 00:05:16,360 Speaker 1: let's move on. We have some fish oil news today, 88 00:05:16,360 --> 00:05:19,800 Speaker 1: but actually some bad fish oil news. So fish oil 89 00:05:19,839 --> 00:05:22,920 Speaker 1: supplementation pops up every once in a while. It's a 90 00:05:22,960 --> 00:05:29,520 Speaker 1: wellness trend. Like many supplement trends. The data has been 91 00:05:29,600 --> 00:05:31,800 Speaker 1: rather mixed. But we've got some new headlines coming out 92 00:05:31,800 --> 00:05:35,599 Speaker 1: this week that actually suggests that fish oil might hurt 93 00:05:35,640 --> 00:05:38,120 Speaker 1: your brain. This is kind of the opposite of what 94 00:05:38,839 --> 00:05:40,480 Speaker 1: a lot of people think about fish oil, like it's 95 00:05:40,480 --> 00:05:43,320 Speaker 1: going to keep me smarter, right, probably because it has 96 00:05:43,360 --> 00:05:45,279 Speaker 1: so much dolphin in it, and you know how smart 97 00:05:45,279 --> 00:05:49,120 Speaker 1: they are. That's a joy. That's a Simpsons reference for 98 00:05:49,160 --> 00:05:52,400 Speaker 1: the very old people. And Emily, what's going on is 99 00:05:52,440 --> 00:05:53,520 Speaker 1: fish oil going to hurt my brain? 100 00:05:54,600 --> 00:05:57,520 Speaker 2: Fish oil is not going to hurt your brain, or 101 00:05:57,560 --> 00:06:00,560 Speaker 2: at least not. There is no strong evidence for based 102 00:06:00,600 --> 00:06:04,159 Speaker 2: on this new research. And this is an example where 103 00:06:04,360 --> 00:06:07,960 Speaker 2: the distinction between what the headline said, which was literally 104 00:06:08,080 --> 00:06:10,680 Speaker 2: fish oil might hurt your brain, and what the actual 105 00:06:10,880 --> 00:06:14,239 Speaker 2: paper said was really vast. So there is a piece 106 00:06:14,279 --> 00:06:18,880 Speaker 2: of new research in which researchers took mice with traumatic 107 00:06:18,920 --> 00:06:21,440 Speaker 2: brain injury, so they actually took some mice, they gave 108 00:06:21,480 --> 00:06:24,280 Speaker 2: them a traumatic brain injury and then they treated them 109 00:06:24,360 --> 00:06:28,560 Speaker 2: with fish oil, and they found that the treatment with 110 00:06:28,560 --> 00:06:31,719 Speaker 2: fish oil did not improve the traumatic brain injury in 111 00:06:31,800 --> 00:06:34,680 Speaker 2: the mice, which they had thought that it might. And 112 00:06:34,720 --> 00:06:38,280 Speaker 2: so that is interesting, I guess, from the standpoint of 113 00:06:38,320 --> 00:06:40,440 Speaker 2: thinking about how we treat traumatic brain injury, which is 114 00:06:40,440 --> 00:06:43,120 Speaker 2: an important question, and certainly, you know, early stage mouse 115 00:06:43,160 --> 00:06:47,000 Speaker 2: research might be helpful for that. To go from treating 116 00:06:47,040 --> 00:06:49,120 Speaker 2: mice with traumatic brain injury with fish oil does not 117 00:06:49,160 --> 00:06:52,040 Speaker 2: improve them to fish oil might hurt your brain. Feels 118 00:06:52,120 --> 00:06:56,680 Speaker 2: like we took not just one, but like several very 119 00:06:56,800 --> 00:06:58,120 Speaker 2: large leaps. 120 00:06:59,080 --> 00:07:04,279 Speaker 1: Yeah. Yeah, well, well, obviously the mouse traumatic brain injury 121 00:07:04,720 --> 00:07:07,840 Speaker 1: readership is not as large as the humans worried about 122 00:07:07,839 --> 00:07:08,680 Speaker 1: their brain readership. 123 00:07:08,839 --> 00:07:10,280 Speaker 3: No they're not, No, they're not. 124 00:07:10,320 --> 00:07:12,440 Speaker 2: But it's I mean, it's such a strong example here 125 00:07:12,480 --> 00:07:16,760 Speaker 2: of where there is a piece of evidence in data 126 00:07:16,920 --> 00:07:19,480 Speaker 2: that actually is kind of interesting and I think should 127 00:07:19,520 --> 00:07:22,280 Speaker 2: be something we should pursue and learn more about. And 128 00:07:22,320 --> 00:07:24,880 Speaker 2: then it gets turned into some clickbait headline, because of 129 00:07:24,880 --> 00:07:27,840 Speaker 2: course the headline you know, mice with traumatic brain injury 130 00:07:27,840 --> 00:07:30,960 Speaker 2: don't necessarily improve with fish oil is not click is 131 00:07:31,000 --> 00:07:36,640 Speaker 2: not clique, it's not okay, let's do some some good news, 132 00:07:36,720 --> 00:07:39,520 Speaker 2: at least what looks to me to be good news. 133 00:07:39,560 --> 00:07:42,520 Speaker 2: It seems like we have started to make a little 134 00:07:42,560 --> 00:07:46,120 Speaker 2: bit of progress on pancreatic cancer, a couple of new 135 00:07:47,000 --> 00:07:50,120 Speaker 2: treatments that maybe are working. 136 00:07:51,040 --> 00:07:52,240 Speaker 3: Did you see this and what'd you think? 137 00:07:53,200 --> 00:07:57,480 Speaker 1: So exciting? So preliminary data presented at a cancer conference 138 00:07:57,480 --> 00:08:02,400 Speaker 1: out in California, so not pure reviewed yet, but still 139 00:08:02,960 --> 00:08:07,720 Speaker 1: super exciting. Two new and completely different approaches for pancreatic cancer. 140 00:08:08,200 --> 00:08:12,120 Speaker 1: The larger trial that was presented was of a drug 141 00:08:12,160 --> 00:08:15,920 Speaker 1: that I have some difficulty pronouncing, but I'm going to 142 00:08:16,000 --> 00:08:22,800 Speaker 1: go for it. It is called deraxnracib dere sonracib. This 143 00:08:23,200 --> 00:08:28,000 Speaker 1: is This is a novel RAS inhibitor. It was trialed 144 00:08:28,520 --> 00:08:32,199 Speaker 1: in five hundred and one patients with fairly advanced late 145 00:08:32,240 --> 00:08:37,040 Speaker 1: stage pancreatic cancer. Many people know that pancreatic cancer, particularly 146 00:08:37,080 --> 00:08:41,840 Speaker 1: late stage pancreatic cancer, has a very poor prognosis, with 147 00:08:42,600 --> 00:08:46,520 Speaker 1: an expected life expectancy generally less than a year after diagnosis. 148 00:08:47,120 --> 00:08:50,600 Speaker 1: That mortality rate at the time that they cut this 149 00:08:50,679 --> 00:08:53,160 Speaker 1: data and presented it was twice as long in the 150 00:08:53,200 --> 00:08:55,840 Speaker 1: patients that were randomized to receive this new therapy compared 151 00:08:55,880 --> 00:09:00,000 Speaker 1: to those randomized to receive placebo, about an extra six months. 152 00:09:00,040 --> 00:09:03,000 Speaker 1: This difference in life expectancy, which is very significant in 153 00:09:03,000 --> 00:09:06,280 Speaker 1: a pancreatic cancer trial, and obviously that's an average, and 154 00:09:06,320 --> 00:09:10,720 Speaker 1: some people are living substantially longer. So super exciting that 155 00:09:10,760 --> 00:09:14,800 Speaker 1: there's that new drug. Potentially, you know, a much smaller study, 156 00:09:15,120 --> 00:09:19,240 Speaker 1: but potentially even more exciting insofar as it is a 157 00:09:19,320 --> 00:09:24,760 Speaker 1: totally new avenue for cancer treatment. Researchers reported on patients 158 00:09:24,800 --> 00:09:30,240 Speaker 1: receiving a customized mr ANDA pancreatic cancer vaccine. So this 159 00:09:30,440 --> 00:09:34,480 Speaker 1: is where you take out a piece of the actual 160 00:09:34,520 --> 00:09:38,360 Speaker 1: patients pancreatic cancer, you do some genetic sequencing on it 161 00:09:38,400 --> 00:09:41,280 Speaker 1: to figure out where the mutations are. You create an 162 00:09:41,440 --> 00:09:44,800 Speaker 1: mRNA vaccine much like the COVID vaccine that's directed against 163 00:09:44,800 --> 00:09:48,000 Speaker 1: those very specific mutations, and you give that back to 164 00:09:48,040 --> 00:09:51,160 Speaker 1: the patient. This was not a randomized trial. This is 165 00:09:51,200 --> 00:09:54,440 Speaker 1: phase one therapy really just testing safety. But what the 166 00:09:54,480 --> 00:10:01,000 Speaker 1: researchers reported that of eight patients whose immune systems responded 167 00:10:01,360 --> 00:10:03,840 Speaker 1: to the mRNA so they have signals that their like 168 00:10:03,920 --> 00:10:07,760 Speaker 1: immune system got revved up to the vaccine, seven were alive. 169 00:10:08,720 --> 00:10:13,160 Speaker 1: Six years or more after receiving the last treatment. So 170 00:10:13,559 --> 00:10:16,679 Speaker 1: this is not necessarily a miracle. You have to respond 171 00:10:16,880 --> 00:10:19,599 Speaker 1: to the therapy. There's no placebo control here, which we 172 00:10:19,600 --> 00:10:23,000 Speaker 1: always talk about, but in a situation like pancreatic cancer, 173 00:10:23,679 --> 00:10:26,920 Speaker 1: you know, these advances can be super promising. So phase 174 00:10:26,960 --> 00:10:30,320 Speaker 1: one study Phase two will get started and give us 175 00:10:30,360 --> 00:10:33,840 Speaker 1: some better efficacy data, likely with a placebo control. Yeah. 176 00:10:33,840 --> 00:10:36,840 Speaker 2: I mean, this last one was really very exciting, given 177 00:10:36,880 --> 00:10:40,320 Speaker 2: that six years in pancreatic cancer is really out huture 178 00:10:40,400 --> 00:10:44,839 Speaker 2: on the tail and the idea that it's a sort 179 00:10:44,880 --> 00:10:49,920 Speaker 2: of new approach to this. It's very cool. Hopefully hopefully 180 00:10:49,920 --> 00:10:51,200 Speaker 2: more science as we go. 181 00:10:51,880 --> 00:10:57,280 Speaker 1: Yeah, and just another place where mRNA technology is making 182 00:10:57,360 --> 00:10:59,280 Speaker 1: an impact, and we're going to talk about this in 183 00:10:59,320 --> 00:11:02,959 Speaker 1: a future episode. People know about mRNA technology because of 184 00:11:03,000 --> 00:11:06,520 Speaker 1: the COVID vaccine, but what makes it so flexible is 185 00:11:06,559 --> 00:11:10,840 Speaker 1: that it can essentially be programmed to do what you 186 00:11:10,920 --> 00:11:14,320 Speaker 1: want it to do and to attack the specific thing 187 00:11:14,360 --> 00:11:17,199 Speaker 1: you wanted to attack, whether that's a COVID spike protein 188 00:11:17,440 --> 00:11:20,000 Speaker 1: or a protein on the surface of pancreatic cancer. Very cool. 189 00:11:20,640 --> 00:11:22,319 Speaker 3: All right, that's it for the health news of the week. 190 00:11:22,520 --> 00:11:32,320 Speaker 2: After the break what's the deal with testosterone? All right, Perry, 191 00:11:32,679 --> 00:11:37,719 Speaker 2: So let's talk about testosterone. Although I said, I'm not 192 00:11:37,760 --> 00:11:39,600 Speaker 2: going to be careful if I do get really out 193 00:11:39,600 --> 00:11:44,000 Speaker 2: on the tail of woman's plaining, joxtrap is your safe word. 194 00:11:44,120 --> 00:11:46,600 Speaker 3: Just say it and I will dial it right back in. 195 00:11:47,600 --> 00:11:49,240 Speaker 1: You got it. I appreciate it, thank you. 196 00:11:49,800 --> 00:11:51,760 Speaker 2: All right, So let's start with the big picture. What 197 00:11:51,880 --> 00:11:56,120 Speaker 2: is testosterone and what does it do for someone who 198 00:11:56,200 --> 00:11:57,959 Speaker 2: is totally unfamiliar. 199 00:11:58,920 --> 00:12:02,320 Speaker 1: So, testosterone is a steroid hormone. We talked about these 200 00:12:02,360 --> 00:12:05,000 Speaker 1: special types of molecules last week with the hormone replacement 201 00:12:05,040 --> 00:12:10,520 Speaker 1: therapy episode. But steroid hormones are unique in that they 202 00:12:10,640 --> 00:12:13,959 Speaker 1: act within the nucleus of the cell to change how 203 00:12:14,040 --> 00:12:20,520 Speaker 1: DNA is transcribed. So testosterone, estrogen, progesterone, some others all 204 00:12:20,559 --> 00:12:23,319 Speaker 1: work this way, and that's a function that really lets 205 00:12:23,360 --> 00:12:26,680 Speaker 1: them change how cells work. It can take a cell 206 00:12:26,760 --> 00:12:28,800 Speaker 1: that doesn't grow hair and change it into a cell 207 00:12:28,880 --> 00:12:33,880 Speaker 1: that does grow hair. Obviously, testosterone is the hormone that 208 00:12:33,960 --> 00:12:38,280 Speaker 1: makes men look like men. This is responsible for the 209 00:12:38,320 --> 00:12:43,360 Speaker 1: primary and secondary sexual characteristics of men. It certainly has 210 00:12:43,440 --> 00:12:46,840 Speaker 1: important roles in muscle growth. We'll get to that it's 211 00:12:46,880 --> 00:12:51,679 Speaker 1: necessary for sperm to be created. It has pretty significant 212 00:12:51,720 --> 00:12:55,640 Speaker 1: effects on erythropoesis or the generation of red blood cells, 213 00:12:56,559 --> 00:12:59,480 Speaker 1: and this is going to come up time and time again. 214 00:12:59,520 --> 00:13:01,280 Speaker 1: I don't know if we need an explicit warning on 215 00:13:01,360 --> 00:13:05,959 Speaker 1: this episode or not, but libido and sexual function is 216 00:13:06,280 --> 00:13:10,559 Speaker 1: clearly firmly within the testosterone wheelhouse. 217 00:13:10,800 --> 00:13:13,080 Speaker 2: Right, So if you're listening with your children, this episode 218 00:13:13,080 --> 00:13:15,920 Speaker 2: will discuss penises and sex, so. 219 00:13:16,160 --> 00:13:18,520 Speaker 3: Just be be aware, all right. 220 00:13:18,679 --> 00:13:21,760 Speaker 2: So when we start from the biggest picture here, there 221 00:13:21,800 --> 00:13:25,480 Speaker 2: are things which are definitely true, which is when boys 222 00:13:25,640 --> 00:13:27,960 Speaker 2: go through puberty, their. 223 00:13:27,760 --> 00:13:29,040 Speaker 3: Testosterone goes up. 224 00:13:29,120 --> 00:13:31,840 Speaker 2: And if that doesn't happen, if you have a medical 225 00:13:31,840 --> 00:13:36,560 Speaker 2: condition in which testosterone is lacking or is very low 226 00:13:36,640 --> 00:13:41,240 Speaker 2: for some reason, then you will need supplementation and that 227 00:13:41,240 --> 00:13:44,680 Speaker 2: that will affect the development of secondary sex characteristics. So 228 00:13:44,960 --> 00:13:47,920 Speaker 2: it's very clear that testosterone is important. Yeah, if we're 229 00:13:47,920 --> 00:13:50,160 Speaker 2: going to say, you know, smash or pass, like, do 230 00:13:50,200 --> 00:13:54,520 Speaker 2: we need testosterone as a species, like yes, yes, right, 231 00:13:54,600 --> 00:14:00,320 Speaker 2: It's not a useless peptide. It's an actual, important or important. Also, 232 00:14:00,360 --> 00:14:03,240 Speaker 2: some things that for sure are true, like if you 233 00:14:03,320 --> 00:14:06,720 Speaker 2: are a person doing sports and you give yourself a 234 00:14:06,720 --> 00:14:10,840 Speaker 2: bunch of extra testosterone. It will probably improve your sports performance, 235 00:14:10,920 --> 00:14:11,480 Speaker 2: but also. 236 00:14:11,280 --> 00:14:13,200 Speaker 3: That's cheating, so don't do that. 237 00:14:15,200 --> 00:14:16,679 Speaker 2: But I think there are a bunch of open, much 238 00:14:16,679 --> 00:14:19,760 Speaker 2: more interesting questions that relate to some of the wellness stuff, 239 00:14:19,800 --> 00:14:21,360 Speaker 2: which is, you know, how. 240 00:14:21,280 --> 00:14:22,440 Speaker 3: Much variation is there? 241 00:14:22,520 --> 00:14:25,600 Speaker 2: Does that variation actually matter, like within the normal range? 242 00:14:25,680 --> 00:14:30,120 Speaker 2: And if we supplement outside of a sports context, is 243 00:14:30,160 --> 00:14:35,880 Speaker 2: that going to improve our various sex activities and other stuff? 244 00:14:36,400 --> 00:14:39,040 Speaker 3: Are those for you the interesting sets of issues? 245 00:14:39,240 --> 00:14:42,200 Speaker 1: Yeah? Absolutely. I mean when people are asking me about 246 00:14:42,200 --> 00:14:45,120 Speaker 1: testosterone supplementation, they're not saying like I have a genetic 247 00:14:45,120 --> 00:14:48,440 Speaker 1: condition that prevents me from synthesizing testosterone, which will be 248 00:14:48,560 --> 00:14:52,480 Speaker 1: like one of the FDA indications for testosterone replacement. People 249 00:14:52,520 --> 00:14:56,240 Speaker 1: are asking, you know, these two things happen in parallel. 250 00:14:56,520 --> 00:15:00,680 Speaker 1: One men get older and two men's test osterone level 251 00:15:00,680 --> 00:15:04,280 Speaker 1: goes down a bit. And there's a natural question to say, like, well, 252 00:15:04,320 --> 00:15:06,680 Speaker 1: all these other things that happen when I get older, 253 00:15:07,160 --> 00:15:11,320 Speaker 1: like decreased energy, decrease libido. Maybe I feel like I'm 254 00:15:11,320 --> 00:15:14,520 Speaker 1: not quite as a top, quite as cognitively sharp as 255 00:15:14,520 --> 00:15:17,960 Speaker 1: I used to be, Like is that because of testosterone 256 00:15:18,200 --> 00:15:21,480 Speaker 1: or is it not? And if you go online you 257 00:15:21,520 --> 00:15:24,920 Speaker 1: will get plenty of people telling you absolutely it is 258 00:15:25,120 --> 00:15:29,080 Speaker 1: and please, you know, call this number to get testosterone 259 00:15:29,120 --> 00:15:32,120 Speaker 1: replacement therapy. But hopefully, if you're listening to the podcast, 260 00:15:32,160 --> 00:15:35,040 Speaker 1: that is not enough evidence for you. So I think 261 00:15:35,040 --> 00:15:40,360 Speaker 1: it's worth noting that the FDA indications for testostereplacement therapy 262 00:15:40,520 --> 00:15:45,160 Speaker 1: are quite limited. It is primary hypergonadism, which is like, 263 00:15:45,360 --> 00:15:48,080 Speaker 1: as you alluded to, like very rare genetic conditions that 264 00:15:48,200 --> 00:15:51,840 Speaker 1: prevent the production of testosterone in boys, you know, and 265 00:15:51,880 --> 00:15:56,360 Speaker 1: you need testosterone to grow into a man. The second 266 00:15:56,720 --> 00:16:00,400 Speaker 1: is pituitary hypogonadism, so your petuitary glands to creates a 267 00:16:00,400 --> 00:16:03,760 Speaker 1: substance that kind of tells the testes to produce testosterone. 268 00:16:03,840 --> 00:16:05,880 Speaker 1: If you have a tumor in your protuitary or you 269 00:16:05,920 --> 00:16:07,880 Speaker 1: had a stroke in a certain place, that's preventing that 270 00:16:07,960 --> 00:16:12,440 Speaker 1: from happening. Just the testes just won't produce testosterone. They're 271 00:16:12,440 --> 00:16:14,560 Speaker 1: not getting the message from the brain to do it. 272 00:16:14,720 --> 00:16:18,680 Speaker 1: Those are the only FDA approved indications, and less than 273 00:16:18,720 --> 00:16:23,080 Speaker 1: one percent of men with low testosterone have one of 274 00:16:23,080 --> 00:16:27,240 Speaker 1: those indications. So virtually everyone getting testosterone replacement therapy that 275 00:16:27,280 --> 00:16:29,760 Speaker 1: you hear about is technically getting it. Off label, which 276 00:16:29,800 --> 00:16:32,960 Speaker 1: is fine, it is legal to get drugs off label, 277 00:16:33,280 --> 00:16:36,680 Speaker 1: but I think it does lead to the question of, like, Okay, 278 00:16:36,800 --> 00:16:42,320 Speaker 1: why isn't there an FDA approval for age related low testosterone, 279 00:16:42,360 --> 00:16:45,320 Speaker 1: which is just the fact that testosterone slowly goes down 280 00:16:45,360 --> 00:16:48,480 Speaker 1: when you're aging. Caveat RFK Junior has said he wants 281 00:16:48,480 --> 00:16:50,560 Speaker 1: there the FDA to investigate this and maybe there will 282 00:16:50,600 --> 00:16:53,480 Speaker 1: be an improval in the future. So I think that's 283 00:16:53,480 --> 00:16:55,560 Speaker 1: where we kind of have to start, is like, what's 284 00:16:55,600 --> 00:16:59,000 Speaker 1: going on with testosterone in the life cycle? And it 285 00:16:59,680 --> 00:17:02,920 Speaker 1: is it is their menopause, right, Is there such a 286 00:17:02,960 --> 00:17:04,120 Speaker 1: thing isopause? 287 00:17:05,119 --> 00:17:07,960 Speaker 2: Is there a menopause? Okay, so so yeah, let's start there. 288 00:17:08,000 --> 00:17:11,280 Speaker 2: So let's start with how testosterone moves over the life cycle. 289 00:17:11,480 --> 00:17:14,520 Speaker 2: And if you look at a graph, and I think 290 00:17:14,560 --> 00:17:18,119 Speaker 2: I'm looking at the end. HAYNES, which is the National 291 00:17:18,119 --> 00:17:23,320 Speaker 2: Health and Nutrition Examination Survey, is a nationally representative survey 292 00:17:23,400 --> 00:17:25,560 Speaker 2: that the CDC runs. It's a really good source for 293 00:17:25,640 --> 00:17:29,080 Speaker 2: a lot of the biometrics that we have no value 294 00:17:29,119 --> 00:17:33,960 Speaker 2: over time because exactly like they they unlike many other surveys, 295 00:17:34,040 --> 00:17:37,480 Speaker 2: they actually test people. They bring them into these like 296 00:17:37,480 --> 00:17:40,359 Speaker 2: like drive around these mobile clinics and participants like come 297 00:17:40,440 --> 00:17:42,960 Speaker 2: to the clinic and have their blood drawn anyway, So 298 00:17:43,200 --> 00:17:46,639 Speaker 2: this will show you testosterone over the life cycle. And 299 00:17:47,640 --> 00:17:52,840 Speaker 2: there is one really striking thing in these graphs which 300 00:17:52,840 --> 00:17:55,000 Speaker 2: I'm looking at as we talk, which is, you know, 301 00:17:55,040 --> 00:17:59,760 Speaker 2: between the ages of like six and you know twenty, 302 00:18:00,280 --> 00:18:03,880 Speaker 2: your testosterone goes from more or less zero. 303 00:18:04,200 --> 00:18:07,360 Speaker 3: To like five hundred. And this is like in what 304 00:18:07,440 --> 00:18:07,639 Speaker 3: is it? 305 00:18:07,680 --> 00:18:13,280 Speaker 2: Is it nanograms for nanogrator for testolator. So at any rate, 306 00:18:13,400 --> 00:18:16,560 Speaker 2: you start with none, little kids have very little testosterone, 307 00:18:16,600 --> 00:18:17,480 Speaker 2: and then you go up a. 308 00:18:17,400 --> 00:18:19,240 Speaker 3: Lot during the period of puberty. 309 00:18:19,280 --> 00:18:23,000 Speaker 2: So it's very clear testosterone is very important for driving 310 00:18:23,040 --> 00:18:25,959 Speaker 2: the changes that we see in boys during puberty, the 311 00:18:26,000 --> 00:18:31,400 Speaker 2: development of secondary sex characteristics, the starting of supermato genesis, 312 00:18:31,440 --> 00:18:37,200 Speaker 2: et cetera. And then you see it over time. And honestly, Perry, 313 00:18:37,200 --> 00:18:38,440 Speaker 2: I'm looking at this graph and. 314 00:18:39,880 --> 00:18:41,159 Speaker 1: I knew you were going to say that when I 315 00:18:41,280 --> 00:18:45,720 Speaker 1: put the graph in our in our research document. Yeah, 316 00:18:45,880 --> 00:18:51,040 Speaker 1: you sort of. So this graph shows the uh sort 317 00:18:51,080 --> 00:18:53,320 Speaker 1: of variation in testosterone levels. And let's just put some 318 00:18:53,400 --> 00:18:55,160 Speaker 1: numbers on it because we'll kind of keep coming back 319 00:18:55,200 --> 00:18:59,840 Speaker 1: to this in adult males. So post pubescent males. Most 320 00:19:00,200 --> 00:19:03,920 Speaker 1: values tend to run between three hundred nanograms pertest leader 321 00:19:03,920 --> 00:19:07,560 Speaker 1: and one thousand. Most people would draw the line at 322 00:19:07,600 --> 00:19:10,400 Speaker 1: three hundred nanograms per test leader to be like low 323 00:19:10,440 --> 00:19:15,159 Speaker 1: testosterone or like lower testosterone. There is no cliff. This 324 00:19:15,280 --> 00:19:19,600 Speaker 1: is not estrogen for women going through menopause, which is 325 00:19:19,680 --> 00:19:23,520 Speaker 1: kind of up there, and just like tanks at menopause, 326 00:19:24,000 --> 00:19:28,119 Speaker 1: it is relatively flat. Now, if you mathematically model this 327 00:19:28,280 --> 00:19:32,240 Speaker 1: and account for things, and you know, you can show 328 00:19:32,720 --> 00:19:35,679 Speaker 1: in a large enough population that there is an age 329 00:19:35,720 --> 00:19:40,000 Speaker 1: related decline in testosterone on average, this is the same 330 00:19:40,119 --> 00:19:43,880 Speaker 1: and hates data using mathematical modeling, that kind of average 331 00:19:43,920 --> 00:19:46,600 Speaker 1: goes from about four hundred nanograms per test leader at 332 00:19:46,640 --> 00:19:52,600 Speaker 1: age twenty to about three hundred nanograms pertest at age eighty. 333 00:19:52,720 --> 00:19:56,359 Speaker 1: That's a change, but it's not dramatic. 334 00:19:56,440 --> 00:20:00,919 Speaker 2: So manopause, I just have to say, looking at this graph, 335 00:20:00,960 --> 00:20:03,320 Speaker 2: and this graph is so obviously this is like we 336 00:20:04,080 --> 00:20:05,560 Speaker 2: might need to take this out of the podcast, but 337 00:20:05,760 --> 00:20:09,520 Speaker 2: this graph is so obviously driven by somebody overfitting a 338 00:20:09,560 --> 00:20:12,280 Speaker 2: line to a very small amount of data on old 339 00:20:12,320 --> 00:20:14,679 Speaker 2: people that I can't even much confidence. 340 00:20:14,720 --> 00:20:15,000 Speaker 1: Interval. 341 00:20:15,119 --> 00:20:17,480 Speaker 3: For those of you who love and overfit. This graph is. 342 00:20:17,480 --> 00:20:21,880 Speaker 1: An Emily's not convinced. Okay, Emily's not convinced. How about 343 00:20:21,920 --> 00:20:26,639 Speaker 1: this data does suggest across multiple populations, both in the 344 00:20:26,760 --> 00:20:31,920 Speaker 1: US and abroad, that average testosterone levels in the population 345 00:20:32,359 --> 00:20:36,160 Speaker 1: have decreased over time. So not only as we've gotten older, 346 00:20:36,200 --> 00:20:39,119 Speaker 1: but like a fifty year old man today has a 347 00:20:39,160 --> 00:20:43,240 Speaker 1: lower testosterone than a fifty year old man in nineteen eighty. 348 00:20:43,640 --> 00:20:45,640 Speaker 1: Levels have been going down, they say by about one 349 00:20:45,680 --> 00:20:47,720 Speaker 1: percent per year, depends how you model it. Do you 350 00:20:47,720 --> 00:20:48,080 Speaker 1: buy that? 351 00:20:49,880 --> 00:20:50,040 Speaker 3: Yeah? 352 00:20:50,080 --> 00:20:51,800 Speaker 2: I think that's interesting and we should come and we 353 00:20:51,800 --> 00:20:53,960 Speaker 2: should come back to it, because I think it's part 354 00:20:54,000 --> 00:20:58,080 Speaker 2: of understanding why this has has declined. But I would say, 355 00:20:58,119 --> 00:21:01,000 Speaker 2: first if we ask the question like, are is this 356 00:21:01,320 --> 00:21:04,600 Speaker 2: like estrogen relative to estrogen where we talked about, there's 357 00:21:04,640 --> 00:21:06,560 Speaker 2: really this period in which it declines quite a lot 358 00:21:06,560 --> 00:21:07,920 Speaker 2: in which replacement is helpful. 359 00:21:08,040 --> 00:21:09,760 Speaker 3: We just we're not seeing that in testosterone. 360 00:21:09,760 --> 00:21:12,720 Speaker 2: So it doesn't necessarily mean you wouldn't get something from supplementation, 361 00:21:13,240 --> 00:21:15,399 Speaker 2: but it doesn't. It's not the case that there's some 362 00:21:15,440 --> 00:21:18,399 Speaker 2: period of your life when you're testosterone is just tanking. 363 00:21:18,840 --> 00:21:20,560 Speaker 1: That's right. You can be an eighty year old man 364 00:21:20,640 --> 00:21:22,800 Speaker 1: and have a testosterone level that a thirty year old 365 00:21:22,840 --> 00:21:24,959 Speaker 1: man has. But like, I challenge you to find an 366 00:21:25,000 --> 00:21:28,239 Speaker 1: eighty year old woman not on estrogen supplementation that has 367 00:21:28,240 --> 00:21:30,959 Speaker 1: an estrogen level of a thirty year old woman like that, 368 00:21:30,960 --> 00:21:31,919 Speaker 1: that does not happen. 369 00:21:32,359 --> 00:21:35,399 Speaker 2: Okay, So, but we also know from this amazing enhance 370 00:21:35,480 --> 00:21:40,480 Speaker 2: graph that there is a lot of variation within age. Right, 371 00:21:40,520 --> 00:21:43,760 Speaker 2: So if you look at like the tenth percentile of people, 372 00:21:43,920 --> 00:21:46,720 Speaker 2: say at forty to forty nine, they're at about two hundred, 373 00:21:47,119 --> 00:21:50,720 Speaker 2: Then ninetieth percentile is at about I don't know, six 374 00:21:50,800 --> 00:21:54,320 Speaker 2: to seven hundred, and so that's a really big range. 375 00:21:54,359 --> 00:21:57,280 Speaker 2: And I think that relates to the question of, like 376 00:21:57,359 --> 00:22:00,720 Speaker 2: what determines this? How do you get to be a 377 00:22:00,720 --> 00:22:05,200 Speaker 2: person of a testosterone level of seven hundred and realistically, 378 00:22:05,280 --> 00:22:08,240 Speaker 2: and I'm just going to channel the influencers here, how 379 00:22:08,240 --> 00:22:10,680 Speaker 2: do I get the seven hundred? What do I need 380 00:22:10,760 --> 00:22:14,720 Speaker 2: to do to optimize my testosterone? Parry, not me specifically, 381 00:22:15,400 --> 00:22:18,600 Speaker 2: I have only a small amount of time. 382 00:22:18,640 --> 00:22:20,120 Speaker 3: What do you need to do? What are you doing? 383 00:22:20,160 --> 00:22:22,560 Speaker 3: What do I need, Ferry to optimize your testosterone? 384 00:22:22,680 --> 00:22:26,440 Speaker 1: Yeah, And I mean they're like, all, I think. 385 00:22:26,960 --> 00:22:29,160 Speaker 3: You're not doing anything. 386 00:22:30,440 --> 00:22:32,320 Speaker 1: I'm actually not doing anything, but I'll give you some 387 00:22:32,359 --> 00:22:35,760 Speaker 1: things that you can do to optimize yourself. Or let 388 00:22:35,760 --> 00:22:38,840 Speaker 1: me let me phrase it this way. I will say 389 00:22:39,080 --> 00:22:43,120 Speaker 1: that before we decide whether we should make some number higher, 390 00:22:43,200 --> 00:22:47,520 Speaker 1: we should decide whether it matters to make that number higher. 391 00:22:47,560 --> 00:22:51,040 Speaker 1: But because we just talked about variation, I will tell 392 00:22:51,040 --> 00:22:53,880 Speaker 1: you what we know what correlates with lower levels versus 393 00:22:53,960 --> 00:22:57,880 Speaker 1: higher levels in the general population. Age is one. It's 394 00:22:57,920 --> 00:23:01,320 Speaker 1: not as powerful as you think, right, but there is 395 00:23:01,320 --> 00:23:06,000 Speaker 1: a statistically significant correlation between age. A history of smoking 396 00:23:06,119 --> 00:23:11,760 Speaker 1: lower's testosterone. Current smoking, which is really interesting, will actually 397 00:23:11,800 --> 00:23:17,360 Speaker 1: increase your total testosterone level by and this actually might 398 00:23:17,400 --> 00:23:20,680 Speaker 1: explain why total testosterone levels have gone down over time. 399 00:23:20,720 --> 00:23:24,000 Speaker 1: Can I detour for a second, because this is very weird. Okay, 400 00:23:24,280 --> 00:23:27,160 Speaker 1: So testosterone is broken down very quickly in the blood, 401 00:23:27,800 --> 00:23:31,000 Speaker 1: has a half life about ten minutes to maybe sixty 402 00:23:31,040 --> 00:23:34,560 Speaker 1: minutes depending, So it's carried around the blood by a 403 00:23:34,640 --> 00:23:38,159 Speaker 1: chaperone protein called sex hormone binding globulin, and that kind 404 00:23:38,200 --> 00:23:40,720 Speaker 1: of protects it. It like wraps testosterone in a little 405 00:23:40,800 --> 00:23:43,640 Speaker 1: hug and you know, keeps it safe from being degraded. 406 00:23:43,720 --> 00:23:46,120 Speaker 1: But it's also an active testosterone in that bound form 407 00:23:46,160 --> 00:23:50,760 Speaker 1: can't do anything. It has to be free. Free testosterone 408 00:23:50,800 --> 00:23:53,879 Speaker 1: is the active form that's about two percent of total testosterone. 409 00:23:53,920 --> 00:23:56,080 Speaker 1: But most people, if you're getting your lab test measured, 410 00:23:56,080 --> 00:23:58,439 Speaker 1: and all the numbers we've said so far are total 411 00:23:58,480 --> 00:24:02,160 Speaker 1: testosterone numbers, because free testosterone is a very difficult test 412 00:24:02,280 --> 00:24:05,880 Speaker 1: to run. It's expensive. There's a couple different essays, none 413 00:24:05,920 --> 00:24:08,800 Speaker 1: of them are FDA cleared at this point in time, 414 00:24:09,000 --> 00:24:12,760 Speaker 1: so most people are getting total testosterone. If you increase 415 00:24:12,760 --> 00:24:16,600 Speaker 1: sex hormone binding globulin, you'll increase total testosterone because you 416 00:24:16,640 --> 00:24:18,879 Speaker 1: just kind of have more that's out there stuck to 417 00:24:18,960 --> 00:24:22,240 Speaker 1: the chaperone protein, but it's not actually doing anything, and 418 00:24:22,640 --> 00:24:27,199 Speaker 1: current smoking does that. So there is some possibility that 419 00:24:27,280 --> 00:24:32,080 Speaker 1: the reason we see this generational decline in total testosterone 420 00:24:32,520 --> 00:24:36,520 Speaker 1: is actually because we're smoking less, which is a really 421 00:24:37,000 --> 00:24:39,399 Speaker 1: sort of paradoxical and fascinating finding. 422 00:24:39,880 --> 00:24:43,560 Speaker 2: Why would having a history of smoking make your testosterone lower. 423 00:24:43,800 --> 00:24:46,600 Speaker 1: I think that's just comorbidities. So the other stuff on 424 00:24:46,640 --> 00:24:53,080 Speaker 1: the list for making your testosterone lower is like higher BMI, depression, diabetes, 425 00:24:54,440 --> 00:24:57,719 Speaker 1: These are all things that kind of go along with smoke. Obviously, cancer, 426 00:24:57,800 --> 00:24:59,959 Speaker 1: right so I think the history of smoking is just 427 00:25:00,080 --> 00:25:01,960 Speaker 1: like you've kind of if you put your body through 428 00:25:01,960 --> 00:25:05,520 Speaker 1: the ringer. Testosterone also is a hormone that has a 429 00:25:05,560 --> 00:25:11,919 Speaker 1: pretty fascinating response to your psychosocial state. So there's a 430 00:25:11,920 --> 00:25:17,200 Speaker 1: well studied phenomenon that if a man wins something, their 431 00:25:17,200 --> 00:25:20,199 Speaker 1: testosterone level goes up. So if you like measure you 432 00:25:20,200 --> 00:25:22,679 Speaker 1: know soccer players before the championship game and you do 433 00:25:22,760 --> 00:25:26,600 Speaker 1: their their salary testosterone and then you you know, one 434 00:25:26,600 --> 00:25:29,280 Speaker 1: team wins, one team loses, the winning team will have 435 00:25:29,480 --> 00:25:32,560 Speaker 1: a significantly higher testosterone after the game. This doesn't last 436 00:25:32,560 --> 00:25:35,760 Speaker 1: for very long. This also carries over to men watching 437 00:25:35,760 --> 00:25:40,239 Speaker 1: their favorite sports teams. So if you are, you know, 438 00:25:40,400 --> 00:25:44,240 Speaker 1: an Eagles fan, Jalen Hurts runs it in for a touchdown, 439 00:25:45,000 --> 00:25:47,200 Speaker 1: your testosterone might go up a little bit. So it is. 440 00:25:47,320 --> 00:25:50,400 Speaker 1: It is quite a cerebral thing, don't you think. 441 00:25:50,240 --> 00:25:51,120 Speaker 3: That's a that? 442 00:25:51,160 --> 00:25:53,720 Speaker 2: I mean that feels like an evolutionary adaptation, right, which 443 00:25:53,760 --> 00:25:55,560 Speaker 2: is like the moment that I win the fight with 444 00:25:55,640 --> 00:25:58,360 Speaker 2: the other guy, that's the moment, and that a lot 445 00:25:58,400 --> 00:26:02,040 Speaker 2: of the lady animals, the lady monkeys want to have 446 00:26:02,200 --> 00:26:03,919 Speaker 2: sex with me, and so I want to be like 447 00:26:03,960 --> 00:26:07,080 Speaker 2: in a high like tsostne environment. So I'm like ready 448 00:26:07,359 --> 00:26:09,440 Speaker 2: for the lady monkeys after the soccer game. 449 00:26:09,720 --> 00:26:11,600 Speaker 1: I mean, yeah, I'll buy it. I'll totally buy me. 450 00:26:11,680 --> 00:26:13,280 Speaker 1: I don't know, I'm not an evolutionary biologist. 451 00:26:13,320 --> 00:26:15,399 Speaker 2: Makes sense, right, I know, But I think evolutionary bology 452 00:26:15,440 --> 00:26:18,159 Speaker 2: is just like telling stories like that, just some of it, 453 00:26:18,320 --> 00:26:20,880 Speaker 2: some of it, some hypothesis generation. There is that kind 454 00:26:20,880 --> 00:26:22,760 Speaker 2: of story, and I've asked the story I'm going with. 455 00:26:24,080 --> 00:26:25,320 Speaker 1: I totally love it. 456 00:26:25,840 --> 00:26:27,520 Speaker 3: Did you lose your trade of thought? 457 00:26:27,800 --> 00:26:29,600 Speaker 1: No, of course not, because I have one other thing 458 00:26:29,640 --> 00:26:32,800 Speaker 1: that has been shown to temporarily increase testosterone, which is 459 00:26:33,640 --> 00:26:39,640 Speaker 1: watching erotica or sexually charged visual imagery. Men are simple creatures, Emily. 460 00:26:40,160 --> 00:26:42,320 Speaker 2: You like to win soccer and watch porns, and those 461 00:26:42,320 --> 00:26:43,920 Speaker 2: are the activities that you enjoy. 462 00:26:44,080 --> 00:26:45,879 Speaker 1: As I was reading about this and comparing it to 463 00:26:46,000 --> 00:26:49,120 Speaker 1: like estrogen and women, and it's like so complicated and 464 00:26:49,200 --> 00:26:51,760 Speaker 1: like how you know what's what's going on? Men? 465 00:26:51,880 --> 00:26:52,639 Speaker 3: Soccer and porn? 466 00:26:53,520 --> 00:26:58,240 Speaker 1: Things we like, yeat, that's it doesn't take much. So 467 00:26:58,520 --> 00:27:02,719 Speaker 1: but but there is a lot of between person variation 468 00:27:02,800 --> 00:27:06,960 Speaker 1: and testosterone, and there is also within person variation in testosterone. Emily. 469 00:27:08,359 --> 00:27:11,000 Speaker 1: One of the things that came out when I was 470 00:27:11,000 --> 00:27:15,080 Speaker 1: looking at like how testosterone is measured, is this fact 471 00:27:15,200 --> 00:27:19,040 Speaker 1: that the coefficient of variation of testosterone measurement is fifty 472 00:27:19,080 --> 00:27:23,040 Speaker 1: percent or higher within a man. Can you, with your 473 00:27:23,080 --> 00:27:26,439 Speaker 1: data hat on, explain what coefficient of variation means? 474 00:27:27,119 --> 00:27:30,280 Speaker 3: So a coefficient of variation is it? 475 00:27:30,359 --> 00:27:33,800 Speaker 2: Technically it's the ratio of the standard aviation to the mean, 476 00:27:34,240 --> 00:27:34,920 Speaker 2: which is not that. 477 00:27:34,920 --> 00:27:35,840 Speaker 3: Helpful for people. 478 00:27:36,400 --> 00:27:40,400 Speaker 2: It's really a way to measure sort of how much 479 00:27:40,520 --> 00:27:45,120 Speaker 2: something is varying, in this case within a person scaled 480 00:27:45,160 --> 00:27:47,639 Speaker 2: to the means. So if something has a coefficient of 481 00:27:47,720 --> 00:27:54,520 Speaker 2: variation of fifty percent, it varies quite a lot within 482 00:27:54,560 --> 00:27:57,119 Speaker 2: a person over time. You know, many things would have 483 00:27:57,240 --> 00:28:00,440 Speaker 2: like you know, your weight within a time for does 484 00:28:00,440 --> 00:28:03,480 Speaker 2: not have a coefficient variation anything like that exactly. 485 00:28:03,600 --> 00:28:05,720 Speaker 1: And so you know, just to put like a number 486 00:28:05,760 --> 00:28:08,000 Speaker 1: on it, roughly, we could say, like, okay, if you're 487 00:28:08,880 --> 00:28:11,320 Speaker 1: testosterone is kind of on average is three hundred, you 488 00:28:11,359 --> 00:28:14,920 Speaker 1: get it measured one day, maybe it's four fifty, right, 489 00:28:15,359 --> 00:28:18,159 Speaker 1: maybe it's one fifty another day. Let me play you 490 00:28:19,280 --> 00:28:24,360 Speaker 1: an influencer that I think speaks to this potential problem 491 00:28:24,400 --> 00:28:24,960 Speaker 1: with testing. 492 00:28:25,280 --> 00:28:28,320 Speaker 4: I increase my testosterone by forty eight percent and only 493 00:28:28,359 --> 00:28:30,000 Speaker 4: twenty one days without medication. 494 00:28:30,320 --> 00:28:32,320 Speaker 1: Heer's out. I'm not even going to tell you. 495 00:28:32,400 --> 00:28:35,680 Speaker 3: How is it that he tested again? Thought right? 496 00:28:35,920 --> 00:28:38,680 Speaker 1: So that's the thing I want to get out. When 497 00:28:38,760 --> 00:28:40,880 Speaker 1: someone says, you know, my, my, whatever it is, my 498 00:28:40,920 --> 00:28:45,800 Speaker 1: testosterone might anything that went up dramatically, you have to 499 00:28:45,880 --> 00:28:48,920 Speaker 1: know how variable it is at baseline, and testosterone is 500 00:28:48,960 --> 00:28:51,520 Speaker 1: highly variable. We know for one thing. For example, it's 501 00:28:51,520 --> 00:28:54,360 Speaker 1: about fifteen percent higher on average in the morning than 502 00:28:54,400 --> 00:28:57,800 Speaker 1: in the afternoon. So like men's testosterone is just higher. 503 00:28:58,160 --> 00:29:02,040 Speaker 1: But that's like averaging a cross thousands of men within 504 00:29:02,280 --> 00:29:04,760 Speaker 1: a given man. If you test today and you test 505 00:29:04,800 --> 00:29:07,960 Speaker 1: a week from now, you're going to get very different numbers. 506 00:29:08,400 --> 00:29:10,800 Speaker 1: And that is going to have the effect because we're 507 00:29:10,800 --> 00:29:15,880 Speaker 1: all human, that you will start to assign causality to 508 00:29:16,040 --> 00:29:19,280 Speaker 1: things that you did to make that change when there 509 00:29:19,360 --> 00:29:23,600 Speaker 1: is in fact nothing. The recommendation from endochronologists is in 510 00:29:23,640 --> 00:29:26,920 Speaker 1: fact that you don't diagnose low testosterone without at least 511 00:29:27,200 --> 00:29:31,960 Speaker 1: two measurements temporarily separated that are both below three hundred 512 00:29:32,000 --> 00:29:33,000 Speaker 1: nanograms pertestlaer. 513 00:29:34,200 --> 00:29:35,960 Speaker 2: So one of the reasons to keep I mean, I 514 00:29:35,960 --> 00:29:39,959 Speaker 2: think that that influencer clip is you know, it's interesting 515 00:29:40,000 --> 00:29:42,640 Speaker 2: from the coefficient a variation standpoint, but it's also interesting 516 00:29:42,680 --> 00:29:45,479 Speaker 2: because of course this guy's on the internet saying how 517 00:29:45,480 --> 00:29:48,920 Speaker 2: great is testosteronis And that's like as a marker of 518 00:29:49,400 --> 00:29:55,400 Speaker 2: you know whatever, positive of manhood presumably, which gets to 519 00:29:55,480 --> 00:29:59,840 Speaker 2: the question of whether, in fact we see like are 520 00:29:59,880 --> 00:30:04,120 Speaker 2: the a symptoms of low testosterone either low or just intermediate? 521 00:30:04,200 --> 00:30:07,440 Speaker 2: Like if you told me I've been tested many times 522 00:30:07,800 --> 00:30:11,240 Speaker 2: at my testosterone level is five hundred, should I expect 523 00:30:11,280 --> 00:30:14,560 Speaker 2: you to be better on some dimension than if your 524 00:30:14,560 --> 00:30:15,760 Speaker 2: testosterone is four hundred? 525 00:30:15,840 --> 00:30:19,320 Speaker 1: Yeah, that's my guys, This is the question, okay, because 526 00:30:19,320 --> 00:30:22,760 Speaker 1: we're so tempted to look at numbers and be like, 527 00:30:23,680 --> 00:30:26,120 Speaker 1: higher number is better. And we do this with so 528 00:30:26,160 --> 00:30:28,320 Speaker 1: many things, right, We do this with like vitamins, we 529 00:30:28,400 --> 00:30:31,000 Speaker 1: do it with protein to some extent, right, Like we're 530 00:30:31,040 --> 00:30:34,120 Speaker 1: trying to max everything. Let me let me play another 531 00:30:34,160 --> 00:30:35,000 Speaker 1: influencer clip. 532 00:30:35,200 --> 00:30:38,200 Speaker 5: I'm ready, Oh, man, is normal in a three hundred 533 00:30:38,280 --> 00:30:41,400 Speaker 5: testosterone range? Your quality of life is gone. And it's 534 00:30:41,480 --> 00:30:44,240 Speaker 5: like you said, it's not just libido. You're not gonna 535 00:30:44,240 --> 00:30:46,200 Speaker 5: be able to lose weight, You're not gonna be able 536 00:30:46,240 --> 00:30:48,960 Speaker 5: to gain muscle. Just like you just said, you're gonna 537 00:30:49,000 --> 00:30:53,040 Speaker 5: be feeling like you can't focus on anything, brain fog 538 00:30:53,240 --> 00:30:56,200 Speaker 5: like to no end. You're also gonna ach. You know 539 00:30:56,240 --> 00:30:58,200 Speaker 5: that you're gonna ache, You're not gonna be able to 540 00:30:58,320 --> 00:31:00,600 Speaker 5: move well, every little thing you do going to hurt. 541 00:31:00,640 --> 00:31:06,080 Speaker 1: It's going to be painful. That sounds sounds terribly, It 542 00:31:06,160 --> 00:31:09,520 Speaker 1: sounds pretty bad. I don't want to have a testosterone 543 00:31:09,600 --> 00:31:15,840 Speaker 1: level below three hundred, so how but is it actually true? 544 00:31:17,520 --> 00:31:20,880 Speaker 1: Let's walk through the EMASS study from the New England 545 00:31:20,920 --> 00:31:22,880 Speaker 1: Journal of Medicine, because I think this is the one. 546 00:31:23,240 --> 00:31:26,200 Speaker 1: This is like how you would design a study to 547 00:31:26,200 --> 00:31:30,480 Speaker 1: assess what the effects of differing levels of testosterone are. 548 00:31:31,280 --> 00:31:35,120 Speaker 1: So, so this was a survey based study three three hundred 549 00:31:35,120 --> 00:31:38,840 Speaker 1: and sixty nine men ages forty to seventy nine in Europe, 550 00:31:38,880 --> 00:31:42,600 Speaker 1: and they gave them very long questionnaires asking about a 551 00:31:42,640 --> 00:31:51,400 Speaker 1: wide variety of symptoms depression, confusion, brain fog, fatigue, sexual symptoms, 552 00:31:51,760 --> 00:31:55,640 Speaker 1: on and on and on. After giving them all those questionnaires, 553 00:31:55,760 --> 00:31:57,880 Speaker 1: they measured their testosterone level. Right, and this is what 554 00:31:57,880 --> 00:31:58,440 Speaker 1: you would. 555 00:31:58,200 --> 00:32:00,920 Speaker 3: Want using like for real, using a blood test. 556 00:32:01,040 --> 00:32:04,400 Speaker 1: Yeah, so it's like, okay, this is you know, it's 557 00:32:04,440 --> 00:32:08,200 Speaker 1: one thing to say, like I measured my testosterone and 558 00:32:08,240 --> 00:32:11,360 Speaker 1: it was two hundred and fifty, and now I attribute 559 00:32:11,400 --> 00:32:14,160 Speaker 1: everything that's bad in my life to that to that number. 560 00:32:14,480 --> 00:32:16,520 Speaker 1: That's sort of like astrology, right, It's like it's like 561 00:32:16,560 --> 00:32:18,440 Speaker 1: I'm a Libra and like, so that's why you can't 562 00:32:18,440 --> 00:32:19,800 Speaker 1: trust me or whatever. I Actually, I don't know is 563 00:32:19,800 --> 00:32:21,040 Speaker 1: that true about Libra's. 564 00:32:20,840 --> 00:32:24,000 Speaker 3: I couldn't listeners? Not really my thing. 565 00:32:24,680 --> 00:32:25,880 Speaker 1: That's probably because you're a virgo. 566 00:32:27,760 --> 00:32:28,640 Speaker 3: I'm gonnaquarius. 567 00:32:28,960 --> 00:32:32,440 Speaker 1: Okay, should have known no with that, Okay. So this 568 00:32:32,480 --> 00:32:35,200 Speaker 1: study instead says like, look, there are gonna be people 569 00:32:35,200 --> 00:32:39,440 Speaker 1: who have depression, and are there more people who with 570 00:32:39,520 --> 00:32:41,480 Speaker 1: depression at a low testosterone or is it just something 571 00:32:41,520 --> 00:32:44,000 Speaker 1: that yes, of course people with low testosterone have depression 572 00:32:44,080 --> 00:32:48,240 Speaker 1: and people with high testosterone have depression. So, Emily, was 573 00:32:48,280 --> 00:32:50,719 Speaker 1: there anything that stood out to you and the results 574 00:32:50,720 --> 00:32:54,280 Speaker 1: of this study as like, what if anything? Is it 575 00:32:54,560 --> 00:32:59,760 Speaker 1: clear that lower testosterone causes symptom logically symptomatically? 576 00:33:00,680 --> 00:33:04,240 Speaker 2: So the statistics in this study are a little like 577 00:33:04,320 --> 00:33:08,480 Speaker 2: a little tortured for the sort of basic reason that 578 00:33:08,480 --> 00:33:11,640 Speaker 2: they're doing a tremendous number of different tests and running 579 00:33:11,680 --> 00:33:14,040 Speaker 2: them in various ways, so the like sort of some 580 00:33:14,120 --> 00:33:17,560 Speaker 2: of the key results that show up as significant. They're 581 00:33:17,640 --> 00:33:20,880 Speaker 2: kind of picking a threshold and then estimating the impact 582 00:33:20,960 --> 00:33:23,960 Speaker 2: as you sort of move below that that threshold. But 583 00:33:24,040 --> 00:33:27,640 Speaker 2: of course there's a tremendous amount of choice that goes 584 00:33:27,760 --> 00:33:30,920 Speaker 2: into like, well what is the threshold and exactly how 585 00:33:30,920 --> 00:33:32,600 Speaker 2: do you structure it? And if you're kind of like, 586 00:33:33,240 --> 00:33:36,880 Speaker 2: you know, messing messing around, you can get closer to significance. 587 00:33:37,720 --> 00:33:39,040 Speaker 3: And they're testing many things. 588 00:33:39,440 --> 00:33:42,560 Speaker 2: I will say, the thing that sort of shows up 589 00:33:43,240 --> 00:33:45,360 Speaker 2: most consistently here. 590 00:33:45,400 --> 00:33:46,640 Speaker 3: Is stuff about sex. 591 00:33:46,800 --> 00:33:53,560 Speaker 2: So sexual thoughts, mourning, erections, erectile dysfunction, those are the 592 00:33:53,640 --> 00:33:58,600 Speaker 2: key things. The effects are not that big, right, So 593 00:33:58,960 --> 00:34:02,520 Speaker 2: like it's a little hard to exactly translate their number 594 00:34:02,600 --> 00:34:05,920 Speaker 2: into something that would be meaningful for a person. So 595 00:34:05,960 --> 00:34:08,279 Speaker 2: it's like what's the odds ratio when you move one 596 00:34:08,440 --> 00:34:10,120 Speaker 2: animal per leader below the threshold? 597 00:34:10,120 --> 00:34:13,640 Speaker 3: Who knows what that number means? But the effects are 598 00:34:13,680 --> 00:34:16,840 Speaker 3: small and not very significant, is my read? 599 00:34:17,000 --> 00:34:20,720 Speaker 1: Yeah, I mean even it's very hard to actually assign 600 00:34:20,800 --> 00:34:24,200 Speaker 1: like good numbers to decrease sexual thoughts, right, It's like, 601 00:34:24,480 --> 00:34:27,200 Speaker 1: what how often you thinking about sex? Like there's all 602 00:34:27,239 --> 00:34:29,600 Speaker 1: those sort of urban legends and stuff like that. But yes, 603 00:34:29,640 --> 00:34:31,920 Speaker 1: to me, it's very clear they looked at, you know, 604 00:34:32,160 --> 00:34:34,960 Speaker 1: fifty different potential symptoms and the only things that sort 605 00:34:34,960 --> 00:34:38,440 Speaker 1: of withstood, however, torture, the statistics are the only things 606 00:34:38,480 --> 00:34:42,520 Speaker 1: that sort of stood out were things about sex. So yes, 607 00:34:42,640 --> 00:34:46,240 Speaker 1: it does seem like if your testosterone is lower, your 608 00:34:46,560 --> 00:34:48,960 Speaker 1: sex drive and things associated with sex drive is going 609 00:34:49,000 --> 00:34:52,680 Speaker 1: to be lower. But notably, the psychological symptoms had no 610 00:34:52,719 --> 00:34:55,960 Speaker 1: correlation with testosterone level. So these influencers who are like, oh, 611 00:34:55,960 --> 00:34:58,280 Speaker 1: if you're below three hundred, you're going to be essentially 612 00:34:58,280 --> 00:35:00,080 Speaker 1: on your deathbed. You're going to be in pain, and 613 00:35:00,120 --> 00:35:02,000 Speaker 1: you're going to be depressed, you can't think straight, you 614 00:35:02,040 --> 00:35:05,400 Speaker 1: have no energy, Like that is not born out in 615 00:35:05,920 --> 00:35:10,399 Speaker 1: the data where people are blinded to their testosterone level, right, 616 00:35:10,480 --> 00:35:13,840 Speaker 1: Like you can you can make the argument after the fact, 617 00:35:13,840 --> 00:35:16,200 Speaker 1: you can kind of attribute it, but you're probably incorrect. 618 00:35:16,520 --> 00:35:16,719 Speaker 3: Yeah. 619 00:35:16,760 --> 00:35:18,640 Speaker 2: I think the other thing about this trial and even 620 00:35:18,680 --> 00:35:21,000 Speaker 2: about these results is what they're looking at is sort 621 00:35:21,000 --> 00:35:23,680 Speaker 2: of what is happening as you're moving down below some 622 00:35:23,840 --> 00:35:26,920 Speaker 2: lower threshold. Right, So here we're like really very focused 623 00:35:26,960 --> 00:35:30,640 Speaker 2: on this question of if you are like these influencers saying, okay, 624 00:35:30,640 --> 00:35:33,720 Speaker 2: if you're below three hundred, what happens to you? Again, 625 00:35:33,800 --> 00:35:37,920 Speaker 2: there's no cliff But most of these trials are about 626 00:35:37,960 --> 00:35:43,200 Speaker 2: these lower like moving down within lower levels, not asking 627 00:35:43,239 --> 00:35:44,480 Speaker 2: the question of whether seven. 628 00:35:44,360 --> 00:35:46,040 Speaker 3: Hundred is better than six hundred. 629 00:35:47,239 --> 00:35:48,960 Speaker 2: And oh yeah, And for that I think we just 630 00:35:49,000 --> 00:35:51,800 Speaker 2: have no there's no evidence to suggest that's true. 631 00:35:52,080 --> 00:35:53,839 Speaker 1: Yeah, and I would be very honestly, I'd be very 632 00:35:53,840 --> 00:35:56,480 Speaker 1: surprised if it's true. And the variation within a person. 633 00:35:56,840 --> 00:35:58,759 Speaker 1: You know, if you're below seven hundred, if you're six 634 00:35:58,840 --> 00:36:01,279 Speaker 1: fifty today, you're seven fifty tomorrow, you're six hundred the 635 00:36:01,280 --> 00:36:04,399 Speaker 1: next day. Like, you know, you're only going to see 636 00:36:04,400 --> 00:36:07,440 Speaker 1: effects when things are low. And again it looks like 637 00:36:07,480 --> 00:36:11,040 Speaker 1: those effects are are fairly limited. But that was an 638 00:36:11,080 --> 00:36:15,560 Speaker 1: observational study, right, that didn't say anything about replacing testosterone. 639 00:36:15,640 --> 00:36:20,000 Speaker 1: So there's okay, if you don't have enough testosterone, all right, 640 00:36:20,040 --> 00:36:22,640 Speaker 1: you have decreased morning erections and a higher risk of 641 00:36:22,719 --> 00:36:26,120 Speaker 1: rectile dysfunction. Then the question is, okay, what if we 642 00:36:26,320 --> 00:36:29,520 Speaker 1: replace testosterone, do those things get better? Do other things 643 00:36:29,840 --> 00:36:34,240 Speaker 1: get better too? And in this case, we really don't 644 00:36:34,280 --> 00:36:39,520 Speaker 1: want influencers to tell us what their anecdotal experience was. 645 00:36:40,800 --> 00:36:43,440 Speaker 1: We want to hear in the form of randomized trials, right, 646 00:36:43,440 --> 00:36:46,640 Speaker 1: we want placebo controls where people don't know they're getting testosterone, 647 00:36:46,640 --> 00:36:49,000 Speaker 1: because we've said a million times, if I tell you, 648 00:36:49,040 --> 00:36:52,440 Speaker 1: I'm giving you testosterone, even if it's not, it's like 649 00:36:52,520 --> 00:36:55,840 Speaker 1: Felix fellicis in Harry Potter, right, You're just like you 650 00:36:56,040 --> 00:36:59,239 Speaker 1: feel good, and that's the power of place ebah. 651 00:36:59,239 --> 00:37:01,840 Speaker 2: And this is such a a classic place where the 652 00:37:01,880 --> 00:37:06,000 Speaker 2: placebo effect is going to matter, Yeah, tremendously because if 653 00:37:06,040 --> 00:37:08,040 Speaker 2: you tell somebody you know, I'm giving you something and 654 00:37:08,080 --> 00:37:11,720 Speaker 2: it's going to make you feel more excited about sex, 655 00:37:11,840 --> 00:37:12,680 Speaker 2: Like they are going. 656 00:37:12,480 --> 00:37:14,520 Speaker 3: To feel more excited about sex for sure. There's just 657 00:37:14,560 --> 00:37:17,359 Speaker 3: like no question. So much of this is in your head. 658 00:37:17,560 --> 00:37:22,640 Speaker 1: Yeah, yeah, yeah, that's how oysters work. So let's we 659 00:37:22,640 --> 00:37:24,560 Speaker 1: can't obviously talk about every trial, but I think there's 660 00:37:24,560 --> 00:37:27,680 Speaker 1: a couple that are are relevant to the discussion. The 661 00:37:27,760 --> 00:37:30,959 Speaker 1: testosterone trials. The te trials enrolled seven hundred and eighty 662 00:37:31,000 --> 00:37:34,360 Speaker 1: eight men above age sixty five who had total testosterone 663 00:37:34,480 --> 00:37:35,680 Speaker 1: less than to seventy five. 664 00:37:35,680 --> 00:37:37,680 Speaker 2: Can I just ask you before we get into the like, 665 00:37:37,760 --> 00:37:40,560 Speaker 2: what do you think about focusing only on old, older 666 00:37:40,760 --> 00:37:43,000 Speaker 2: men in this, do you wish that they had focused 667 00:37:43,040 --> 00:37:44,200 Speaker 2: also on people like you? 668 00:37:45,880 --> 00:37:48,479 Speaker 1: I think they would not find the signals that they want. 669 00:37:48,520 --> 00:37:50,560 Speaker 1: I think it would be very expensive. So you know, 670 00:37:50,680 --> 00:37:55,240 Speaker 1: the truth is, if you're enrolling people with normal testosterone levels, 671 00:37:55,760 --> 00:37:58,720 Speaker 1: you're not going to get any signal with physiological levels 672 00:37:58,719 --> 00:38:01,800 Speaker 1: of replacement. By the way, knows right that like antabolic 673 00:38:01,800 --> 00:38:05,160 Speaker 1: steroids that bodybuilders use are testosterone, right, or synthetic forms 674 00:38:05,200 --> 00:38:06,400 Speaker 1: of testosterone. People know that. 675 00:38:06,600 --> 00:38:09,000 Speaker 2: Yeah, I'm not sure if people know that, let's tell 676 00:38:09,040 --> 00:38:12,440 Speaker 2: them that anabolic steroids or a synthetic form of testosterone. 677 00:38:11,800 --> 00:38:14,600 Speaker 1: Yeah, they just happen to be given in like ten 678 00:38:14,640 --> 00:38:17,360 Speaker 1: times the dose of testosterone placement therapy, or even up 679 00:38:17,400 --> 00:38:19,560 Speaker 1: to like thirty times the dose. So these are crazy, 680 00:38:19,960 --> 00:38:23,080 Speaker 1: super physiologic doses of testosterone. And I think, in fact, 681 00:38:23,400 --> 00:38:26,080 Speaker 1: some of the hesitancy to get to your point, Emily 682 00:38:26,160 --> 00:38:30,440 Speaker 1: about testing and giving men testosteronal replacement therapy comes from 683 00:38:30,480 --> 00:38:33,239 Speaker 1: the complications that have been seen in bodybuilders, because we 684 00:38:33,320 --> 00:38:35,560 Speaker 1: know that when you're giving ten times the normal rate 685 00:38:35,600 --> 00:38:42,759 Speaker 1: of testosterone, you get infertility, liver failure, roid rage, baldness, 686 00:38:42,960 --> 00:38:46,560 Speaker 1: cardiovascular disease. Like all this bad stuff happens. But just 687 00:38:46,600 --> 00:38:50,319 Speaker 1: because that happens at ten x the dose doesn't necessarily 688 00:38:50,360 --> 00:38:52,480 Speaker 1: means it happens at one x the dose, right, like 689 00:38:52,480 --> 00:38:55,000 Speaker 1: like the dose is the poison, as the toxicologists like 690 00:38:55,040 --> 00:38:57,080 Speaker 1: to say. So I think that has you know, actually 691 00:38:57,160 --> 00:38:58,680 Speaker 1: hampered this research a little bit. 692 00:38:58,560 --> 00:39:00,759 Speaker 2: All right to getting back to this TESASA trials with 693 00:39:00,800 --> 00:39:05,640 Speaker 2: the older the older men, these focus on people who 694 00:39:05,880 --> 00:39:09,480 Speaker 2: have testosterone in lower levels. So I think the criteria 695 00:39:09,520 --> 00:39:12,280 Speaker 2: here was below two hundred and seventy five, So people 696 00:39:12,280 --> 00:39:14,200 Speaker 2: who were in the range of the you know, below 697 00:39:14,239 --> 00:39:16,640 Speaker 2: three hundred and you're basically dead. 698 00:39:18,320 --> 00:39:19,600 Speaker 3: And what happens. 699 00:39:20,840 --> 00:39:24,240 Speaker 1: What happens is your sexual stuff gets better. So these 700 00:39:24,360 --> 00:39:27,840 Speaker 1: older men that were randomizing, again placebo controlled randomized to 701 00:39:27,920 --> 00:39:31,320 Speaker 1: testosterone had a forty percent increase in sexual activity sexual 702 00:39:31,360 --> 00:39:35,080 Speaker 1: activity frequency, a twenty five percent increase in their libido scores, 703 00:39:35,080 --> 00:39:37,760 Speaker 1: and a thirty five percent improvement in a rectile function, 704 00:39:38,400 --> 00:39:42,719 Speaker 1: but no improvement in vitality or energy, and only very 705 00:39:42,719 --> 00:39:46,400 Speaker 1: small improvements in mood and walking distance. And this is 706 00:39:46,440 --> 00:39:51,400 Speaker 1: something that like gets repeated. I've seen this again and again, 707 00:39:51,520 --> 00:39:54,680 Speaker 1: Like if you look really at if you ignore the 708 00:39:54,719 --> 00:39:57,239 Speaker 1: influencers who say I started taking testosterone in placement therapy 709 00:39:57,280 --> 00:39:59,960 Speaker 1: and everything was a miracle. What you hear from men 710 00:40:00,640 --> 00:40:04,080 Speaker 1: is like sex sex sex. I am. I looked at 711 00:40:04,120 --> 00:40:05,359 Speaker 1: a Reddit thread in. 712 00:40:05,320 --> 00:40:06,280 Speaker 3: The ask Matrimonia. 713 00:40:06,880 --> 00:40:10,360 Speaker 1: It's a sex serment. Okay, there's a great reddit thread 714 00:40:11,200 --> 00:40:13,319 Speaker 1: in the ask Men's subreddit. It was like anyone taking 715 00:40:13,360 --> 00:40:16,080 Speaker 1: testosterone placement therapy, like, how was it for you? And 716 00:40:16,400 --> 00:40:20,319 Speaker 1: the basic breakdown is like twenty percent of people being like, 717 00:40:20,360 --> 00:40:23,440 Speaker 1: I took it, and actually I didn't feel much. Twenty 718 00:40:23,440 --> 00:40:26,239 Speaker 1: percent of people are like, I took it. My life 719 00:40:26,280 --> 00:40:28,360 Speaker 1: is great now, like I feel so much more energy, 720 00:40:28,440 --> 00:40:32,640 Speaker 1: I feel young again, great, And sixty percent of people 721 00:40:32,840 --> 00:40:38,719 Speaker 1: are exclusively talking about like the quality of their erections 722 00:40:39,000 --> 00:40:44,600 Speaker 1: and how horny they are, with one amazing comment blaming 723 00:40:44,640 --> 00:40:49,719 Speaker 1: testosterone replacement therapy for the failure of his marriage because. 724 00:40:49,760 --> 00:40:51,320 Speaker 3: He wanted more sex than she didn't. 725 00:40:51,760 --> 00:40:56,279 Speaker 1: Exactly. Yeah, something that that has has come up on 726 00:40:56,320 --> 00:40:59,359 Speaker 1: this odd podcast before. Emily has suggested that, you know, 727 00:40:59,480 --> 00:41:02,799 Speaker 1: women have a lower sex drive than men. And I 728 00:41:02,840 --> 00:41:05,520 Speaker 1: tried to be offended and I couldn't. And the data 729 00:41:05,640 --> 00:41:06,640 Speaker 1: tends to bear Emily out. 730 00:41:06,719 --> 00:41:08,960 Speaker 3: Data shows, data shows so be. 731 00:41:08,960 --> 00:41:11,040 Speaker 1: Careful if you're taking testoster replacement or you might want 732 00:41:11,040 --> 00:41:13,200 Speaker 1: to discuss it with your significant other. 733 00:41:13,280 --> 00:41:14,840 Speaker 3: You should always talk about this stuff. 734 00:41:15,040 --> 00:41:16,839 Speaker 2: Yeah, yeah, I mean, I think in a look when 735 00:41:16,880 --> 00:41:22,960 Speaker 2: you look the picture here feels very clear and almost 736 00:41:23,239 --> 00:41:26,440 Speaker 2: it's an example where you're in this rabbit hole of 737 00:41:26,480 --> 00:41:29,920 Speaker 2: influencers and if you just pull yourself out and you're like, Okay, 738 00:41:30,280 --> 00:41:33,080 Speaker 2: let me just think about, like what is likely to 739 00:41:33,160 --> 00:41:35,200 Speaker 2: be true based on what we know about this. 740 00:41:35,960 --> 00:41:38,440 Speaker 3: It seems likely that the thing that is going to 741 00:41:38,640 --> 00:41:39,799 Speaker 3: happen is about. 742 00:41:39,520 --> 00:41:42,240 Speaker 2: Sex, because that is and about feelings about sex, because 743 00:41:42,280 --> 00:41:44,000 Speaker 2: that is like the core. 744 00:41:45,400 --> 00:41:47,640 Speaker 3: Thing about disosterone is that. 745 00:41:47,560 --> 00:41:50,719 Speaker 2: It has all these things to do with how you 746 00:41:50,760 --> 00:41:52,319 Speaker 2: feel about sex and how much you want to have sex, 747 00:41:52,360 --> 00:41:53,839 Speaker 2: and your ability to have sex and all these other 748 00:41:54,360 --> 00:41:56,279 Speaker 2: all these other pieces. Just like it feels like that 749 00:41:56,400 --> 00:42:00,719 Speaker 2: is very sensible in contrast to a claim like you 750 00:42:00,760 --> 00:42:05,160 Speaker 2: won't be able to walk or move very well, which 751 00:42:05,239 --> 00:42:07,080 Speaker 2: is really no reason to think testosterone would have anything 752 00:42:07,400 --> 00:42:09,080 Speaker 2: to particular to do with. 753 00:42:09,360 --> 00:42:14,880 Speaker 1: Yeah, and I mean, insofar as mood maybe does improve slightly, 754 00:42:15,000 --> 00:42:18,880 Speaker 1: Like we can even draw a line between the sexual 755 00:42:18,920 --> 00:42:24,680 Speaker 1: effects and those subjective effects on mood and energy, and whatnot. 756 00:42:24,719 --> 00:42:26,560 Speaker 1: I mean, maybe not for the guy whose whole marriage 757 00:42:26,600 --> 00:42:31,080 Speaker 1: fell apart because of sexual incompatibility, but you can certainly 758 00:42:31,080 --> 00:42:34,560 Speaker 1: imagine that if all you do is increase sex drive, 759 00:42:34,719 --> 00:42:38,080 Speaker 1: like for many men, that might be enough to feel 760 00:42:38,480 --> 00:42:39,720 Speaker 1: a little bit better about things. 761 00:42:39,800 --> 00:42:45,800 Speaker 2: Right, totally, So if people are not interested in taking 762 00:42:45,840 --> 00:42:49,600 Speaker 2: exogenous testosterone, I mean, there are a couple of places 763 00:42:49,840 --> 00:42:53,600 Speaker 2: where it seems like there are small impacts of lifestyle 764 00:42:53,680 --> 00:42:56,680 Speaker 2: changes on testosterone, mainly around weight loss, is what I 765 00:42:56,719 --> 00:43:00,239 Speaker 2: would say, Like, there is some evidence of small all 766 00:43:00,280 --> 00:43:03,880 Speaker 2: amounts of increases in testosterone as a result of weight loss, 767 00:43:03,880 --> 00:43:06,520 Speaker 2: and similar with you know, GLP ones, which is presumably 768 00:43:06,600 --> 00:43:09,080 Speaker 2: for the same for the same reason. Those are again 769 00:43:09,160 --> 00:43:11,279 Speaker 2: like those are actually those effects are pretty. 770 00:43:11,000 --> 00:43:13,799 Speaker 3: Small, smaller than I might have thought that they would be. 771 00:43:13,800 --> 00:43:17,080 Speaker 1: Actually, yeah, me too. We usually see sort of better 772 00:43:17,160 --> 00:43:23,040 Speaker 1: effects with significant weight loss in other domains. Yeah, absolutely, 773 00:43:24,040 --> 00:43:26,080 Speaker 1: That is actually one of the reasons as I was 774 00:43:26,160 --> 00:43:28,720 Speaker 1: kind of looking through this and deciding what my feelings 775 00:43:28,719 --> 00:43:32,960 Speaker 1: were about testosterone replacement therapy, I tend to constitutively be like, oh, like, 776 00:43:33,120 --> 00:43:36,280 Speaker 1: let's find lifestyle things that can improve the thing first, 777 00:43:36,440 --> 00:43:40,120 Speaker 1: rather than just like supplements or you know, doing it exogynously, 778 00:43:40,920 --> 00:43:46,640 Speaker 1: And the truth is that there's not a slam dunk here. Again, 779 00:43:47,160 --> 00:43:50,359 Speaker 1: you're gonna see some people telling you that, like there's 780 00:43:50,440 --> 00:43:54,880 Speaker 1: really easy natural ways to increase your testosterone. Here's here's 781 00:43:55,000 --> 00:43:57,600 Speaker 1: a guy talking about zinc. 782 00:43:57,840 --> 00:44:00,399 Speaker 4: If your libido is gone and your energy is tank, 783 00:44:00,840 --> 00:44:02,880 Speaker 4: you might not have a hormone problem, you have a 784 00:44:02,960 --> 00:44:06,920 Speaker 4: zinc problem. Your body cannot build testosterone without zinc. Today 785 00:44:06,960 --> 00:44:09,520 Speaker 4: we're libido maxing at Whole Foods. 786 00:44:10,200 --> 00:44:12,239 Speaker 1: We're libido maxing. I love it. 787 00:44:12,320 --> 00:44:14,759 Speaker 3: Please don't do it at whole food So why I 788 00:44:14,920 --> 00:44:15,520 Speaker 3: know whole Foods. 789 00:44:15,560 --> 00:44:17,680 Speaker 2: I don't want a bunch of people libido maxing while 790 00:44:17,680 --> 00:44:18,719 Speaker 2: I'm just try chaper. 791 00:44:18,560 --> 00:44:21,440 Speaker 1: Just to buy the testosterone. 792 00:44:21,719 --> 00:44:24,640 Speaker 3: So is that true about the zinc? What what way 793 00:44:24,680 --> 00:44:25,480 Speaker 3: is zinc related? 794 00:44:26,080 --> 00:44:31,400 Speaker 1: This is like classic mechanism jumping to conclusion problem. So yes, 795 00:44:31,800 --> 00:44:35,560 Speaker 1: zinc is a cofactor in the synthesis of testosterone, as 796 00:44:35,600 --> 00:44:38,319 Speaker 1: like in the biosynthetic pathway of testosterone you need a 797 00:44:38,320 --> 00:44:42,640 Speaker 1: little bit of zinc. That does not mean that getting 798 00:44:42,640 --> 00:44:46,839 Speaker 1: your zinc level crazy high increases that. It's like it's 799 00:44:46,840 --> 00:44:48,680 Speaker 1: a vitamin, right, or it's a mineral, but like it 800 00:44:48,880 --> 00:44:51,360 Speaker 1: you know you need some amount or else you can't 801 00:44:51,880 --> 00:44:55,719 Speaker 1: synthesize testosterone, but having more doesn't mean you synthesize more. 802 00:44:56,440 --> 00:44:59,320 Speaker 1: About eight percent of the United States is zinc deficient, 803 00:44:59,360 --> 00:45:02,359 Speaker 1: but this is lar Argually, people with significant colmorbidities, who 804 00:45:02,400 --> 00:45:06,080 Speaker 1: are older and who don't have access to adequate nutrition. 805 00:45:06,239 --> 00:45:10,040 Speaker 1: Your you listener are probably not sync deficient, and pumping 806 00:45:10,120 --> 00:45:12,800 Speaker 1: up your zinc levels not going to really increase your testosterone, 807 00:45:12,880 --> 00:45:14,560 Speaker 1: although again, if you check it a couple times, you're 808 00:45:14,560 --> 00:45:16,040 Speaker 1: going to get numbers you like. It's like taking the 809 00:45:16,080 --> 00:45:17,239 Speaker 1: SATs over and over again. 810 00:45:17,280 --> 00:45:19,680 Speaker 2: Really, I was just thinking, it's like, and take it again, right, 811 00:45:19,719 --> 00:45:20,680 Speaker 2: they only count one of. 812 00:45:20,600 --> 00:45:22,520 Speaker 1: Them, and I will say that the more. If your 813 00:45:22,560 --> 00:45:26,480 Speaker 1: zinc is too high, then your copper metabolism can get 814 00:45:26,520 --> 00:45:28,520 Speaker 1: thrown off and maybe you don't get enough copper. I 815 00:45:28,520 --> 00:45:30,839 Speaker 1: don't know, So don't don't stress about stuff like that. 816 00:45:32,000 --> 00:45:34,200 Speaker 1: I think the real question for people when they're considering 817 00:45:34,200 --> 00:45:38,040 Speaker 1: testosterone real placement therapy is really quite simple. Is is 818 00:45:38,040 --> 00:45:41,080 Speaker 1: my indogenous testosterone low? And is it really low? Like 819 00:45:41,280 --> 00:45:43,719 Speaker 1: is not? Did I get one value that was low 820 00:45:43,760 --> 00:45:44,840 Speaker 1: and all the others are normal. 821 00:45:44,880 --> 00:45:47,400 Speaker 3: Consistently below three hundred on multiple tests. 822 00:45:47,480 --> 00:45:50,239 Speaker 1: And do I have sexual symptoms? Yeah, And if the 823 00:45:50,280 --> 00:45:53,200 Speaker 1: answer to either of those is no, like there's not 824 00:45:53,280 --> 00:45:54,120 Speaker 1: much to be done. 825 00:45:54,680 --> 00:45:56,439 Speaker 2: I'm going to add to the to the last thing, 826 00:45:56,480 --> 00:45:59,000 Speaker 2: like do I have sexual symptoms that are a problem 827 00:45:59,040 --> 00:46:01,720 Speaker 2: for me? Because I think actually, when we talk about 828 00:46:01,760 --> 00:46:05,680 Speaker 2: sex here, it's like, you know, we're always talking about this, 829 00:46:05,840 --> 00:46:07,960 Speaker 2: like your goal is to want more sex, and like 830 00:46:08,000 --> 00:46:09,879 Speaker 2: maybe that is that is your goal or I'm being 831 00:46:09,920 --> 00:46:11,719 Speaker 2: bothered by not having. 832 00:46:11,480 --> 00:46:12,480 Speaker 3: The libido that I want. 833 00:46:12,560 --> 00:46:15,520 Speaker 2: I think that if that's true, that's absolutely a consideration. 834 00:46:15,640 --> 00:46:18,840 Speaker 2: I think people should ask always ask a question like 835 00:46:18,920 --> 00:46:21,440 Speaker 2: is this something that's actually a problem or. 836 00:46:21,680 --> 00:46:25,520 Speaker 1: Yeah not yeah, yeah, yeah, very important. 837 00:46:25,840 --> 00:46:29,959 Speaker 2: What about risks here at the kind of dosage levels 838 00:46:29,960 --> 00:46:32,640 Speaker 2: So we see, obviously at very high dose levels like 839 00:46:32,680 --> 00:46:36,400 Speaker 2: you would have in an anomolic steroid, there are many 840 00:46:37,239 --> 00:46:42,320 Speaker 2: issues acne, weird hair in different places, or not enough hair. 841 00:46:43,080 --> 00:46:46,640 Speaker 1: Strokes and heart attacks, strokes and heart attacks, liver failure. 842 00:46:46,840 --> 00:46:50,560 Speaker 2: Being caught by USADA for doping. But what about for 843 00:46:50,920 --> 00:46:53,160 Speaker 2: people outside of this in a normal dose. 844 00:46:54,520 --> 00:46:58,440 Speaker 1: Yeah, I mean, the major concern has always been cardiovascular disease. Again, 845 00:46:58,560 --> 00:47:02,000 Speaker 1: I think largely driven by the bodybuilding community in fact, 846 00:47:02,000 --> 00:47:06,600 Speaker 1: the FDA mandated a trial in higher risk older adults 847 00:47:06,600 --> 00:47:09,759 Speaker 1: of testosterone replacement to see This was a trial called 848 00:47:09,800 --> 00:47:14,040 Speaker 1: Traverse more than five thousand people randomized trial for testosterone 849 00:47:14,080 --> 00:47:18,200 Speaker 1: replacement therapy to look for cardiovascular disease as an important outcome, 850 00:47:19,200 --> 00:47:22,720 Speaker 1: and actually there was no difference in major adverse coronary 851 00:47:22,719 --> 00:47:26,719 Speaker 1: events in that trial. Again, you'll see influencers like who 852 00:47:26,760 --> 00:47:29,799 Speaker 1: are really pushing TRT being like afraid of the cardiovascular 853 00:47:29,840 --> 00:47:33,440 Speaker 1: risks the Traverse trial like repudiated this. But you know, 854 00:47:34,000 --> 00:47:37,240 Speaker 1: no one trial is perfect. I mean you'll hear Traverse, Traverse, Traverse, 855 00:47:37,520 --> 00:47:39,880 Speaker 1: No one trial is perfect. The follow up was thirty 856 00:47:39,880 --> 00:47:42,520 Speaker 1: three months in that trial, which is you know, almost 857 00:47:42,560 --> 00:47:46,480 Speaker 1: three years. But that doesn't mean that you know, stuff 858 00:47:46,520 --> 00:47:48,920 Speaker 1: can be going on that gets you ten years down 859 00:47:48,960 --> 00:47:51,359 Speaker 1: the line. And I will say, if you actually dig in, 860 00:47:51,400 --> 00:47:54,080 Speaker 1: if you actually if you actually read the Traverse trial, 861 00:47:54,280 --> 00:47:58,000 Speaker 1: what you'll find is that there was a higher rate 862 00:47:58,040 --> 00:48:01,600 Speaker 1: of atrial fibrillation, which is that abnormal heart rhythm that 863 00:48:01,719 --> 00:48:05,439 Speaker 1: actually endurance athletes like yourself, Emily are at higher risk 864 00:48:05,480 --> 00:48:10,799 Speaker 1: for thanks and blood clots in the testosterone arm low. 865 00:48:11,080 --> 00:48:12,920 Speaker 1: You know, the absolute risk was very low, but it 866 00:48:13,000 --> 00:48:16,600 Speaker 1: was higher than in the placebo group. Other risks that 867 00:48:16,760 --> 00:48:20,440 Speaker 1: I think are you know, worth considering. One is fertility, 868 00:48:20,239 --> 00:48:25,359 Speaker 1: So so testosterone supplementation if you are trying to not 869 00:48:25,400 --> 00:48:27,480 Speaker 1: become pregnant, get someone pregnant. If you're trying to get. 870 00:48:27,320 --> 00:48:29,880 Speaker 3: Someone pregnant, contribute positively to pregnancy. 871 00:48:29,960 --> 00:48:35,320 Speaker 1: Yeah, yeah, testosterone placement can decrease the production of sperm. 872 00:48:35,520 --> 00:48:38,160 Speaker 1: There are the issues with acne and hair loss, and 873 00:48:38,200 --> 00:48:42,200 Speaker 1: then prostate enlargement, but probably not prostate cancer, so benign 874 00:48:42,280 --> 00:48:44,880 Speaker 1: prostatic hypert refuge is just a benign enlargement in the 875 00:48:44,920 --> 00:48:46,480 Speaker 1: prostate can make it a little hard to pee. That's 876 00:48:46,520 --> 00:48:48,600 Speaker 1: been shown. And then I've got a fun bit of 877 00:48:48,680 --> 00:48:54,480 Speaker 1: chemistry for you, which is that testosterone is metabolized in 878 00:48:54,560 --> 00:49:01,320 Speaker 1: fat cells to estrogen to a stratiol via a enzyme 879 00:49:01,360 --> 00:49:06,279 Speaker 1: called aroma tase. And this is why people on very 880 00:49:06,320 --> 00:49:10,279 Speaker 1: high doses of men on high doses of testosterone can 881 00:49:10,320 --> 00:49:12,799 Speaker 1: develop kind of camastia, which is the development of like 882 00:49:12,960 --> 00:49:19,200 Speaker 1: glandular breast tissue as popularized by Robert Paulson in Fight 883 00:49:19,280 --> 00:49:24,160 Speaker 1: Club for the gen Xers, played admirably by meat Loaf. 884 00:49:24,760 --> 00:49:28,560 Speaker 1: So there is a risk of gind ofcomasia from testosterone supplementation. 885 00:49:28,880 --> 00:49:31,920 Speaker 1: And it is higher if you have a higher body 886 00:49:31,920 --> 00:49:36,200 Speaker 1: fat percentage, because that's where that conversion to estrogen takes place. 887 00:49:37,120 --> 00:49:41,920 Speaker 2: Okay, I have one last urban legend to discuss before 888 00:49:41,960 --> 00:49:44,920 Speaker 2: we smash our pass, which is the ratio of index 889 00:49:45,040 --> 00:49:46,000 Speaker 2: to ring finger. 890 00:49:46,600 --> 00:49:49,759 Speaker 3: So there's like this idea that if you have a. 891 00:49:49,920 --> 00:49:55,080 Speaker 2: Long ring finger, I think it's right that that indicates 892 00:49:55,120 --> 00:49:57,040 Speaker 2: a high level of testosterone. 893 00:49:58,200 --> 00:50:01,120 Speaker 1: Yeah, this is also all for Instagram. Take a listen. 894 00:50:01,400 --> 00:50:04,840 Speaker 6: Your finger length reveals how much testosterone you were exposed 895 00:50:04,840 --> 00:50:07,920 Speaker 6: to in the womb. Hold your right hand up. If 896 00:50:07,960 --> 00:50:11,560 Speaker 6: your ring finger is longer than your index finger, you 897 00:50:11,680 --> 00:50:15,880 Speaker 6: had high prenatal testosterone exposure. Is there the same length, 898 00:50:16,120 --> 00:50:19,759 Speaker 6: or your index is longer you had lower exposure. This 899 00:50:19,880 --> 00:50:22,279 Speaker 6: ratio is called the two D four D and it's 900 00:50:22,320 --> 00:50:24,719 Speaker 6: one of the most studied markers in human biology. 901 00:50:25,520 --> 00:50:28,520 Speaker 1: Okay, So, so I don't know that this is one 902 00:50:28,560 --> 00:50:32,520 Speaker 1: of the most studied UH mark markers in human biology, 903 00:50:32,840 --> 00:50:36,160 Speaker 1: but boy, if I didn't look at my own finger. 904 00:50:36,040 --> 00:50:38,440 Speaker 3: Yeah, you your fingers seem like you're in trouble. 905 00:50:38,640 --> 00:50:40,839 Speaker 1: Well, I feel like depending on kind of how I 906 00:50:40,880 --> 00:50:42,440 Speaker 1: hold my hand, I can kind of make it do 907 00:50:42,760 --> 00:50:45,800 Speaker 1: what now? I don't know. Maybe I didn't get enough testosterone. 908 00:50:45,960 --> 00:50:47,640 Speaker 1: What does that even mean? This guy goes on, I'm 909 00:50:47,680 --> 00:50:49,160 Speaker 1: not playing the whole clip, but he goes it's He 910 00:50:49,200 --> 00:50:51,399 Speaker 1: goes on to say, like, oh, then you know, if 911 00:50:51,400 --> 00:50:54,320 Speaker 1: you had more testosterone in the womb, you're like gonna 912 00:50:54,800 --> 00:50:57,720 Speaker 1: be more aggressive in life. And I don't know, Emily, 913 00:50:57,719 --> 00:50:58,880 Speaker 1: you were saying, there's. 914 00:50:58,719 --> 00:51:02,360 Speaker 2: Some amount of literature. This is just a bunch of bullshit, 915 00:51:03,120 --> 00:51:06,000 Speaker 2: But I like, so I happened. I'm looking at a 916 00:51:06,000 --> 00:51:09,560 Speaker 2: meta analysis of this, which here is the key statement. 917 00:51:09,920 --> 00:51:12,920 Speaker 2: We found no evidence of the relationship between the testosterone 918 00:51:12,920 --> 00:51:14,240 Speaker 2: types and digit ratios. 919 00:51:15,000 --> 00:51:15,920 Speaker 3: Furthermore, there was. 920 00:51:15,840 --> 00:51:18,200 Speaker 2: No evidence and very so this is uh, there is 921 00:51:18,239 --> 00:51:20,800 Speaker 2: no evidence of this. Maybe it is very highly studied, 922 00:51:21,280 --> 00:51:24,640 Speaker 2: but very highly studied to conclude that it is fake 923 00:51:25,120 --> 00:51:26,840 Speaker 2: that he should have added that he should have like 924 00:51:26,920 --> 00:51:29,520 Speaker 2: this is very highly studyed and we've concluded it's garbage. 925 00:51:29,680 --> 00:51:31,359 Speaker 1: I mean, even if true, I don't see just like 926 00:51:31,560 --> 00:51:37,200 Speaker 1: how this matters aside from I don't know, making conversation 927 00:51:37,280 --> 00:51:38,200 Speaker 1: of parties or something. 928 00:51:38,360 --> 00:51:40,960 Speaker 3: Okay, Perry, I'm gonna ask you a personal question. Do 929 00:51:41,040 --> 00:51:44,560 Speaker 3: you know your tesosterone level? No, you didn't even test 930 00:51:44,600 --> 00:51:45,719 Speaker 3: it for this episode. 931 00:51:46,320 --> 00:51:46,560 Speaker 2: I did. 932 00:51:46,680 --> 00:51:49,480 Speaker 1: I don't how much. I don't have what I know? 933 00:51:50,480 --> 00:51:51,480 Speaker 3: I know my testosterone. 934 00:51:51,560 --> 00:51:52,840 Speaker 1: Oh what's your testosterone? 935 00:51:52,960 --> 00:51:56,880 Speaker 3: Twenty five? Okay, it's like it's not it's below three hundred. 936 00:51:56,920 --> 00:51:59,080 Speaker 3: But yeah, I don't know. It's part of this blood panel, 937 00:51:59,520 --> 00:52:01,319 Speaker 3: part of some blood panel I've got. I don't know. 938 00:52:01,360 --> 00:52:02,960 Speaker 3: It said it was sufficient. 939 00:52:03,440 --> 00:52:05,000 Speaker 1: That seems that seems entirely normal. 940 00:52:05,120 --> 00:52:05,640 Speaker 3: Sufficient. 941 00:52:06,520 --> 00:52:09,040 Speaker 1: It would be low for me. No, I mean, I 942 00:52:09,440 --> 00:52:12,080 Speaker 1: haven't had it tested. It's one of those things where 943 00:52:13,040 --> 00:52:16,000 Speaker 1: I don't have symptoms that I would attribute to low testosterone. 944 00:52:16,040 --> 00:52:18,919 Speaker 1: And so even if I had it tested and it 945 00:52:19,080 --> 00:52:22,359 Speaker 1: was low, I don't know that I would necessarily want 946 00:52:22,400 --> 00:52:24,200 Speaker 1: to do anything about it. And that's always our threshold 947 00:52:24,239 --> 00:52:26,560 Speaker 1: for should I check something? Is the answer going to 948 00:52:26,600 --> 00:52:27,160 Speaker 1: make a difference. 949 00:52:27,760 --> 00:52:30,399 Speaker 2: I also feel like, what if you tested and it 950 00:52:30,440 --> 00:52:32,880 Speaker 2: wasn't like it was like four hundred, and then you 951 00:52:32,880 --> 00:52:34,720 Speaker 2: were like, ah, now I have to get tested again 952 00:52:35,400 --> 00:52:37,120 Speaker 2: so I can try to Because you're not really like me, 953 00:52:37,160 --> 00:52:38,600 Speaker 2: so you probably wouldn't do that. But I feel like 954 00:52:38,640 --> 00:52:40,440 Speaker 2: that's the reaction I would have. I'd be like, oh, 955 00:52:40,480 --> 00:52:41,040 Speaker 2: what can I do? 956 00:52:41,280 --> 00:52:45,440 Speaker 1: Yeah, I mean sometimes just like knowledge is your ignorance 957 00:52:45,480 --> 00:52:45,920 Speaker 1: is bliss. 958 00:52:46,560 --> 00:52:47,520 Speaker 3: Ignorance is bliss. 959 00:52:48,160 --> 00:52:51,920 Speaker 2: All right, Perry, testosterone supplementation smash your pass. 960 00:52:53,400 --> 00:52:57,640 Speaker 1: I'm giving this a smash for men with low testosterone 961 00:52:57,680 --> 00:53:01,560 Speaker 1: levels who have sexual symptoms. Otherwise it's a past. Emily 962 00:53:01,560 --> 00:53:02,200 Speaker 1: Smasher pass. 963 00:53:02,760 --> 00:53:06,520 Speaker 2: I concur smash if it is if you have low 964 00:53:06,600 --> 00:53:10,240 Speaker 2: levels and it is bothering you otherwise pass. 965 00:53:11,360 --> 00:53:14,520 Speaker 1: All right, That is it for testosterone. Your mailbag question 966 00:53:14,560 --> 00:53:16,439 Speaker 1: of the week after the Break. 967 00:53:21,480 --> 00:53:22,640 Speaker 3: Hi, Emily and Perry. 968 00:53:22,880 --> 00:53:27,640 Speaker 7: This is Emily, also from Baltimore. My husband is newly sober, so. 969 00:53:27,560 --> 00:53:28,680 Speaker 3: I kind of am now too. 970 00:53:29,200 --> 00:53:32,719 Speaker 7: My question is what is the health impact when swapping 971 00:53:32,760 --> 00:53:36,040 Speaker 7: a daily alcoholic drink for a daily soda and what's 972 00:53:36,080 --> 00:53:39,880 Speaker 7: the impact of soda versus diet soda? In other words, 973 00:53:40,000 --> 00:53:42,880 Speaker 7: if the choice is a daily drink of alcohol, diet 974 00:53:42,920 --> 00:53:46,400 Speaker 7: soda and regular soda, is there a clear winter health wise? 975 00:53:46,840 --> 00:53:49,239 Speaker 7: Love the show, Thanks so much so. 976 00:53:49,160 --> 00:53:52,200 Speaker 2: You're asking the question about alcohol, diet soda versus regular soda. 977 00:53:52,239 --> 00:53:56,279 Speaker 2: This feels like a fairly straightforward answer, which is, if 978 00:53:56,280 --> 00:54:00,840 Speaker 2: we're kind of thinking about some kind of optimizing diet 979 00:54:00,880 --> 00:54:03,120 Speaker 2: soda is the winner. It doesn't have the sugar, and 980 00:54:03,200 --> 00:54:05,640 Speaker 2: it doesn't have the alcohol. That's different from saying that 981 00:54:05,719 --> 00:54:08,640 Speaker 2: you can't have like a healthy lifestyle that incorporates alcohol 982 00:54:08,840 --> 00:54:11,239 Speaker 2: or regular soda. 983 00:54:10,960 --> 00:54:12,320 Speaker 3: In it in moderation. 984 00:54:12,560 --> 00:54:14,960 Speaker 2: But if you're telling me, like I'm a difference between 985 00:54:14,960 --> 00:54:16,719 Speaker 2: those three things, I'm going with the diet soda. 986 00:54:17,520 --> 00:54:21,480 Speaker 1: Uh yeah, I totally agree. I mean, there is a 987 00:54:21,520 --> 00:54:24,680 Speaker 1: lot of concern out there about artificial sweeteners. In fact, 988 00:54:24,880 --> 00:54:28,160 Speaker 1: that is on our list of upcoming episodes somewhere our 989 00:54:28,239 --> 00:54:31,680 Speaker 1: producer tomorrow can can tell us where that is happening. 990 00:54:31,719 --> 00:54:35,760 Speaker 1: But much of this, as you will see in that episode, 991 00:54:35,840 --> 00:54:38,840 Speaker 1: is really overblown or hypothetical concerns. 992 00:54:39,600 --> 00:54:43,840 Speaker 2: Whereas mice exclusively eats sycrilos as their entire diet forever, 993 00:54:43,960 --> 00:54:45,759 Speaker 2: that's not ideal, right, And. 994 00:54:46,360 --> 00:54:49,719 Speaker 1: You know, but the concerns we have about alcohol and 995 00:54:49,760 --> 00:54:52,720 Speaker 1: about like sugar or corn syrup as you would find 996 00:54:52,880 --> 00:54:56,960 Speaker 1: in regular soda is much better documented, much higher level 997 00:54:57,000 --> 00:54:59,640 Speaker 1: of evidence. So I think there's a lot of anxiety 998 00:54:59,680 --> 00:55:04,560 Speaker 1: about artificial sweeteners. Diet soda water is probably better for 999 00:55:04,640 --> 00:55:08,080 Speaker 1: you than drinking that stuff. But if you're purely talking 1000 00:55:08,080 --> 00:55:12,040 Speaker 1: about health risks, definitely diet soda over alcohol. If you 1001 00:55:12,040 --> 00:55:14,239 Speaker 1: get the same sort of amount of joy out of it. 1002 00:55:14,840 --> 00:55:16,520 Speaker 2: Yeah, I mean, I think that point about joy is 1003 00:55:17,000 --> 00:55:20,160 Speaker 2: important because they think, certainly, you know, I've spent a 1004 00:55:20,200 --> 00:55:23,040 Speaker 2: lot of time with the alcohol and health literature, and 1005 00:55:23,160 --> 00:55:27,239 Speaker 2: you know, occasional light drinking is I think the potential 1006 00:55:27,320 --> 00:55:31,200 Speaker 2: negative impacts are really quite small relative to some of 1007 00:55:31,239 --> 00:55:34,879 Speaker 2: what you hear. But again, if you're saying, like I'm 1008 00:55:34,920 --> 00:55:38,239 Speaker 2: totally indifferent, I think this is a clear call, particularly 1009 00:55:38,239 --> 00:55:41,000 Speaker 2: because this person has specified that like, this is what 1010 00:55:41,120 --> 00:55:44,520 Speaker 2: works for their relationship and is supportive of their partner, 1011 00:55:44,560 --> 00:55:46,640 Speaker 2: which makes it an even clearer no brainer. 1012 00:55:46,920 --> 00:55:50,000 Speaker 1: And also, have you tried diet doctor pepper? Amazing? It's great. 1013 00:55:50,920 --> 00:55:51,640 Speaker 3: It's too sweet. 1014 00:55:51,880 --> 00:55:53,920 Speaker 2: I find it too sweet, but diet like a nice 1015 00:55:53,960 --> 00:55:57,440 Speaker 2: diet coke. Like for me, that's like cannot be spot 1016 00:55:57,920 --> 00:56:02,920 Speaker 2: fridge cigarette. That's what gen Z calls that cigarette. 1017 00:56:03,480 --> 00:56:06,399 Speaker 1: Well, that's it for us today. Stick with us next 1018 00:56:06,400 --> 00:56:12,160 Speaker 1: week when we'll ask what's the deal with colostrum? 1019 00:56:12,280 --> 00:56:15,640 Speaker 2: Wellness actually is produced in association with iHeartMedia. 1020 00:56:16,200 --> 00:56:18,200 Speaker 3: Our senior producer is Tamar Avisheid. 1021 00:56:18,560 --> 00:56:22,200 Speaker 2: Our executive producer at iHeart is Jennifer Bassett. Our theme 1022 00:56:22,239 --> 00:56:24,880 Speaker 2: music is by Eric Deutsch. And our content is for 1023 00:56:25,000 --> 00:56:26,240 Speaker 2: educational purposes only. 1024 00:56:26,920 --> 00:56:29,200 Speaker 1: If you like the show, help other people find us, 1025 00:56:29,520 --> 00:56:32,319 Speaker 1: leave a rating and review on Apple Podcasts or your 1026 00:56:32,400 --> 00:56:35,160 Speaker 1: podcatcher of choice, and help us spread the word about 1027 00:56:35,160 --> 00:56:38,200 Speaker 1: the show. You can follow us on Instagram at Wellness 1028 00:56:38,239 --> 00:56:41,399 Speaker 1: Actually pod and don't forget We want to hear from you. 1029 00:56:41,840 --> 00:56:44,360 Speaker 1: Head over to Wellness Actually dot fm and leave us 1030 00:56:44,360 --> 00:56:46,960 Speaker 1: a question for our mailbag or suggest a topic for 1031 00:56:47,000 --> 00:56:47,680 Speaker 1: a future show. 1032 00:56:48,440 --> 00:56:50,279 Speaker 3: We'll let the influencers have the last word. 1033 00:56:50,719 --> 00:56:50,919 Speaker 1: Yeah. 1034 00:56:51,000 --> 00:56:54,960 Speaker 8: TESTOSTERM replacement therapy, hormone replacement therapy. Yeah, it makes a big. 1035 00:56:54,840 --> 00:56:56,240 Speaker 3: Difference, makes a big difference. 1036 00:56:56,320 --> 00:56:59,840 Speaker 8: Fuck Yeah, there's a stigma attached to that in a 1037 00:56:59,840 --> 00:57:01,520 Speaker 8: lot of people, like you know, where do you get 1038 00:57:01,560 --> 00:57:06,200 Speaker 8: your testosterone from? I'll get it from my balls. It's 1039 00:57:06,239 --> 00:57:10,200 Speaker 8: real simple. If you're fine with not feeling as good good, 1040 00:57:10,440 --> 00:57:11,880 Speaker 8: go ahead. Stick with that.