1 00:00:00,320 --> 00:00:03,000 Speaker 1: Brought to you by the reinvented two thousand twelve Camray. 2 00:00:03,240 --> 00:00:10,000 Speaker 1: It's ready. Are you welcome to stuff mom never told you? 3 00:00:10,200 --> 00:00:17,680 Speaker 1: From House to works dot Com. Hello, this is Molly. 4 00:00:17,760 --> 00:00:20,760 Speaker 1: Welcome to the podcast. And I'm Kristen Christ. And they 5 00:00:20,800 --> 00:00:23,680 Speaker 1: were going to talk about something called the G factor. 6 00:00:24,360 --> 00:00:26,760 Speaker 1: And it's not what you think it is. It's not 7 00:00:26,800 --> 00:00:28,720 Speaker 1: that G. Y'all. Get your minds out of the gutter 8 00:00:28,880 --> 00:00:31,960 Speaker 1: right now and then put them right back in. Today 9 00:00:31,960 --> 00:00:34,600 Speaker 1: we're going to talk about sperm and this and the 10 00:00:35,040 --> 00:00:39,080 Speaker 1: G factor. But the G in this case is general intelligence. 11 00:00:39,200 --> 00:00:41,360 Speaker 1: And then it is a variable that is sort of 12 00:00:41,440 --> 00:00:45,040 Speaker 1: used across across the board in terms of, uh this 13 00:00:45,280 --> 00:00:51,160 Speaker 1: fitness quality known as intelligence because they're thinking that intelligent 14 00:00:51,200 --> 00:00:53,920 Speaker 1: people tend to do pretty good in life, tend to 15 00:00:53,920 --> 00:00:56,280 Speaker 1: take care of themselves. Yeah, they think it's a marker 16 00:00:56,440 --> 00:01:00,760 Speaker 1: of good genetics. And uh so they've they've studied, they've 17 00:01:00,760 --> 00:01:03,640 Speaker 1: studied intelligence a lot, you know, kind of trying to 18 00:01:03,640 --> 00:01:06,440 Speaker 1: figure out whether or not you can inherit intelligence, whether 19 00:01:06,520 --> 00:01:08,560 Speaker 1: or not kind of runs in your bloodline things like that, 20 00:01:09,160 --> 00:01:11,319 Speaker 1: or in your sperm or in your spur. Which is 21 00:01:11,319 --> 00:01:14,160 Speaker 1: why we're gonna talk today a lot about semen. Now, 22 00:01:14,200 --> 00:01:17,360 Speaker 1: the reason why we are talking about intelligence and semen 23 00:01:17,840 --> 00:01:21,560 Speaker 1: is because we came across the study entitled intelligence and 24 00:01:21,600 --> 00:01:25,039 Speaker 1: semen quality are positively correlated. And this is when it 25 00:01:25,240 --> 00:01:28,080 Speaker 1: just really pays off to host a podcast called stuff 26 00:01:28,080 --> 00:01:30,559 Speaker 1: Mom and or Tology, because it was really the highlight 27 00:01:30,560 --> 00:01:32,560 Speaker 1: of my week, Kristen, to get an email from you saying, 28 00:01:32,959 --> 00:01:35,880 Speaker 1: look at the study about intelligence and semen quality. Yeah, 29 00:01:36,040 --> 00:01:38,800 Speaker 1: because we we have talked about this guy, Jeffrey Miller. 30 00:01:39,240 --> 00:01:42,320 Speaker 1: He did a study that we've talked about a couple 31 00:01:42,360 --> 00:01:45,720 Speaker 1: of times about how strippers who are not on birth 32 00:01:45,760 --> 00:01:49,360 Speaker 1: control and who are also opulating getting more tips than 33 00:01:49,480 --> 00:01:54,600 Speaker 1: strippers who are not opulating. So Jeffrey Miller knows this stuff, 34 00:01:55,240 --> 00:01:57,800 Speaker 1: and so we were naturally when you a title of 35 00:01:58,000 --> 00:02:01,480 Speaker 1: study intelligence and semen quality was really correlated, Jeffrey Miller, 36 00:02:01,520 --> 00:02:03,480 Speaker 1: we are going to get right on that. Yes. So, 37 00:02:03,520 --> 00:02:05,680 Speaker 1: the reason why Jeffrey Miller and his colleagues were interested 38 00:02:05,680 --> 00:02:08,320 Speaker 1: in looking at intelligence and seeming quality because it might 39 00:02:08,360 --> 00:02:11,200 Speaker 1: seem like those are two sort of disjointed ideas, or 40 00:02:11,320 --> 00:02:13,440 Speaker 1: at least kind of disjointed on the body. You know, 41 00:02:13,480 --> 00:02:15,840 Speaker 1: once at the top ones more in the middle Well. 42 00:02:15,880 --> 00:02:17,800 Speaker 1: And also, I mean you think of that old expression 43 00:02:17,840 --> 00:02:21,240 Speaker 1: like he's just thinking with his peanuts. I mean that's 44 00:02:21,600 --> 00:02:24,840 Speaker 1: marker of saying, oh, you know, he's not. But apparently 45 00:02:24,880 --> 00:02:28,840 Speaker 1: here we've got two disparate things linked. Yeah, and so 46 00:02:29,120 --> 00:02:31,920 Speaker 1: so Miller and his colleagues they're trying to get at 47 00:02:32,800 --> 00:02:37,160 Speaker 1: cognitive correlates to positive health outcomes because there have been 48 00:02:37,200 --> 00:02:41,480 Speaker 1: studies about how more intelligent people tend to be healthier. 49 00:02:41,560 --> 00:02:45,120 Speaker 1: They obviously don't smoke as much, they tend to drink less, 50 00:02:45,520 --> 00:02:49,120 Speaker 1: they tend to eat better and live longer, all of 51 00:02:49,160 --> 00:02:51,800 Speaker 1: this kind of stuff. So they're wondering if there's if 52 00:02:51,880 --> 00:02:56,040 Speaker 1: there any biological underpinnings to that, right, I mean, is 53 00:02:56,080 --> 00:03:00,839 Speaker 1: it is intelligence basically passed down because these people are 54 00:03:00,880 --> 00:03:03,480 Speaker 1: the most fit evolutionarily? I mean that that's sort of 55 00:03:03,480 --> 00:03:06,840 Speaker 1: how evolution works. You think that the best primed people 56 00:03:06,919 --> 00:03:10,600 Speaker 1: to live the longest will pass on their genes. Are 57 00:03:10,600 --> 00:03:13,200 Speaker 1: they doing that via sperm? Yeah? And this all also 58 00:03:13,240 --> 00:03:16,519 Speaker 1: gets into kind of the nature versus nurture question, and 59 00:03:16,560 --> 00:03:19,240 Speaker 1: I like this this comes up a lot um. Miller 60 00:03:19,320 --> 00:03:23,080 Speaker 1: describes all of this as a matrix, like what is 61 00:03:23,200 --> 00:03:28,400 Speaker 1: this human matrix of intelligence? Versus health. Right, So the 62 00:03:28,440 --> 00:03:31,320 Speaker 1: way they did this study, and uh, we read quite 63 00:03:31,320 --> 00:03:33,480 Speaker 1: a few studies on this, and you know, you can, 64 00:03:33,560 --> 00:03:36,640 Speaker 1: I guess kind of make quibbles with how the study went. 65 00:03:36,800 --> 00:03:39,840 Speaker 1: You know, they're different. I don't think researchers have quite 66 00:03:39,880 --> 00:03:42,600 Speaker 1: found the perfect way to study semen yet. Yeah, apparently, 67 00:03:42,840 --> 00:03:45,880 Speaker 1: you know, if you need to research something semen, research 68 00:03:46,080 --> 00:03:48,560 Speaker 1: harder than it might sound. So let me explain how 69 00:03:48,640 --> 00:03:50,560 Speaker 1: this study worked, because you know it's one of those 70 00:03:50,560 --> 00:03:52,800 Speaker 1: things where you're gonna have to kind of, I think, 71 00:03:52,840 --> 00:03:56,240 Speaker 1: make a judgment on how you feel about this particular methodology. 72 00:03:56,560 --> 00:04:00,000 Speaker 1: What they did is they had UM the Vietnam Experience Study, 73 00:04:00,080 --> 00:04:04,480 Speaker 1: which was conducted by the CDC in that was when 74 00:04:04,560 --> 00:04:07,920 Speaker 1: four thousand, four hundred sixty two veterans underwent extensive medical 75 00:04:07,920 --> 00:04:11,000 Speaker 1: and mental examinations and of those at the time, five 76 00:04:11,200 --> 00:04:14,360 Speaker 1: d seventy one had provided semen samples. So what they 77 00:04:14,360 --> 00:04:16,359 Speaker 1: did was they looked at four and twenty five of 78 00:04:16,400 --> 00:04:20,640 Speaker 1: those samples, and uh, what they had was a pool 79 00:04:20,680 --> 00:04:22,760 Speaker 1: of men that were age thirty one to forty four, 80 00:04:23,240 --> 00:04:27,200 Speaker 1: various races, but predominantly white. UM. And they kind of knew, 81 00:04:27,320 --> 00:04:29,360 Speaker 1: you know, a few things about these men because they 82 00:04:29,360 --> 00:04:32,560 Speaker 1: had undergone sort of this whole battery of testing which 83 00:04:32,640 --> 00:04:36,320 Speaker 1: allowed them to make exceptions for you know, environmental factors 84 00:04:36,320 --> 00:04:39,000 Speaker 1: like smoking. Uh, they were able to kind of figure 85 00:04:39,000 --> 00:04:40,760 Speaker 1: out how long the men have been in Vietnam and 86 00:04:40,839 --> 00:04:43,760 Speaker 1: what they might have been exposed to mental disorders, right, 87 00:04:43,800 --> 00:04:46,880 Speaker 1: and so, but they also had intelligence testing for these men. 88 00:04:47,360 --> 00:04:51,080 Speaker 1: So what they did is they compared the intelligence battery 89 00:04:51,240 --> 00:04:58,440 Speaker 1: testing to UH three semen measures UH sperm concentration, sperm count, 90 00:04:58,680 --> 00:05:02,080 Speaker 1: and sperm motility, which just basically whether your sperm can 91 00:05:02,120 --> 00:05:05,599 Speaker 1: move in a in a in a forward direction towards 92 00:05:05,640 --> 00:05:10,600 Speaker 1: a goal. Is it? Is it vibrus sperm? Yes, sperm 93 00:05:10,600 --> 00:05:14,080 Speaker 1: motility learned a new term myself during this research. And 94 00:05:14,120 --> 00:05:17,120 Speaker 1: if you score well on these factors, if you've got 95 00:05:17,160 --> 00:05:19,920 Speaker 1: you know, very mobile sperm and you've got a lot 96 00:05:19,960 --> 00:05:23,080 Speaker 1: of it, then that's what they're gonna deem high quality sperm, 97 00:05:23,200 --> 00:05:26,040 Speaker 1: because that's the sperm that's gonna get a woman pregnant 98 00:05:26,400 --> 00:05:30,200 Speaker 1: as opposed to more sluggish sperm, fewer sperm and a sample. 99 00:05:30,960 --> 00:05:33,440 Speaker 1: That's what they're talking about when they say that sperm 100 00:05:33,520 --> 00:05:38,440 Speaker 1: is quality. Yes. And I found a statistically significant correlation 101 00:05:38,960 --> 00:05:43,520 Speaker 1: between these highly mobile sperm a k a. High quality semen, 102 00:05:44,040 --> 00:05:47,600 Speaker 1: and high intelligence scores. So that allowed them to make 103 00:05:47,640 --> 00:05:50,880 Speaker 1: the statement that the strongest influence on intelligence differences in 104 00:05:50,920 --> 00:05:54,480 Speaker 1: adulthood is genetic. You know, if you're thinking nature versus 105 00:05:54,560 --> 00:05:59,560 Speaker 1: nurture um score one for nature and this idea that 106 00:05:59,760 --> 00:06:02,960 Speaker 1: you know, the people who can most effectively pass on 107 00:06:03,000 --> 00:06:05,120 Speaker 1: their seat and get a woman pregnant are the people 108 00:06:05,200 --> 00:06:09,120 Speaker 1: who are intelligent, have lived longer, who make good health choices. 109 00:06:09,160 --> 00:06:11,560 Speaker 1: I mean, not every smart person makes good health choices, 110 00:06:12,200 --> 00:06:14,479 Speaker 1: but you know, they were able, like we said, to 111 00:06:15,040 --> 00:06:18,560 Speaker 1: exempt those factors people who had abused alcohol or cigarettes 112 00:06:18,600 --> 00:06:20,400 Speaker 1: or drugs, and what they were left with was the 113 00:06:20,440 --> 00:06:23,320 Speaker 1: people who had chosen to make really good decisions regarding 114 00:06:23,360 --> 00:06:27,840 Speaker 1: their health, and they had really good sperm. And I mean, like, 115 00:06:27,920 --> 00:06:29,960 Speaker 1: you know, it's not an accident that we also we 116 00:06:30,000 --> 00:06:33,039 Speaker 1: want a smart guy. It's because it seems that he's 117 00:06:33,040 --> 00:06:35,839 Speaker 1: going to give us better babies. And the tone in 118 00:06:35,839 --> 00:06:38,120 Speaker 1: the in the study too, when you when you read 119 00:06:38,160 --> 00:06:40,520 Speaker 1: it is that the researchers were almost skeptical of their 120 00:06:40,560 --> 00:06:46,000 Speaker 1: own findings, saying, you know, making the connection between smarts 121 00:06:46,000 --> 00:06:49,400 Speaker 1: and semens seems like a pretty kind of tenuous connection 122 00:06:49,839 --> 00:06:52,480 Speaker 1: to draw and so they even went back and looked 123 00:06:52,480 --> 00:06:54,760 Speaker 1: even closer at this because they said, Okay, we've got 124 00:06:54,800 --> 00:06:57,800 Speaker 1: this correlation, but what on earth could be going on 125 00:06:58,200 --> 00:07:03,279 Speaker 1: in the body. How could how could sperm and your 126 00:07:03,360 --> 00:07:07,279 Speaker 1: neurons in your brain somehow be connected. There has to 127 00:07:07,320 --> 00:07:10,720 Speaker 1: be some kind of you know, connecting factor in the body. 128 00:07:10,760 --> 00:07:14,760 Speaker 1: So they went back and published an article addendum called 129 00:07:14,800 --> 00:07:18,880 Speaker 1: wise intelligence Correlated with seemin Quality to address all of this, 130 00:07:19,960 --> 00:07:24,840 Speaker 1: and they found some similar biochemical pathways between neuron development 131 00:07:25,040 --> 00:07:28,120 Speaker 1: and sperm function. Yeah, this is just fascinating to read, 132 00:07:28,160 --> 00:07:30,680 Speaker 1: and I I'm probably going to oversimplify it, and I'm 133 00:07:30,680 --> 00:07:33,520 Speaker 1: sorry for that, but we'll put it up on our blog. 134 00:07:33,680 --> 00:07:39,280 Speaker 1: But essentially, neurons and sperm are very similar. UM. For example, 135 00:07:39,320 --> 00:07:44,600 Speaker 1: they both have high concentrations of polyunsaturated batty acid pasofas 136 00:07:45,000 --> 00:07:48,920 Speaker 1: relative to other body tissues. And that these UM batty 137 00:07:48,920 --> 00:07:53,120 Speaker 1: acids are so important in nerve development function and maintaining 138 00:07:53,120 --> 00:07:56,240 Speaker 1: all those neurons in the brain. UM it's a mark 139 00:07:56,520 --> 00:08:00,720 Speaker 1: of all land mammals, including humans, So uh they knew 140 00:08:00,720 --> 00:08:03,480 Speaker 1: it was essential to the brain. And then regarding semen, 141 00:08:03,720 --> 00:08:07,360 Speaker 1: the difference between uh an immature germ cell and a 142 00:08:07,480 --> 00:08:12,800 Speaker 1: mature spermatozoa. Guess what it is. Polyunsaturated batty acids PUFAs. 143 00:08:12,840 --> 00:08:17,760 Speaker 1: Poufa's during sperm development are just crucial to developing a 144 00:08:17,760 --> 00:08:22,880 Speaker 1: good sperm. And here's the thing. A mutation that um 145 00:08:22,920 --> 00:08:27,360 Speaker 1: negatively affects the poufa's and therefore the sperm will also 146 00:08:27,480 --> 00:08:31,240 Speaker 1: negatively affect neuron development. So there we go. You get 147 00:08:31,240 --> 00:08:34,440 Speaker 1: the low quality sperm, you're the lower quality neurons, and 148 00:08:34,600 --> 00:08:37,920 Speaker 1: vice versa. And then in this article donehom they provide, 149 00:08:37,960 --> 00:08:40,720 Speaker 1: you know, two or three more examples of ways in 150 00:08:40,760 --> 00:08:46,160 Speaker 1: which the brain and semen used the same bodily functions, 151 00:08:46,200 --> 00:08:49,840 Speaker 1: the same ingredients. Uh, you know, it's just the same 152 00:08:49,880 --> 00:08:53,640 Speaker 1: things that go into good brain function go into good 153 00:08:53,720 --> 00:08:57,080 Speaker 1: semen development. And it was I've never read anything that 154 00:08:57,240 --> 00:08:59,679 Speaker 1: made that connection like that before. I mean, it kind 155 00:08:59,679 --> 00:09:02,839 Speaker 1: of u sort of make you think to oversimplify it dramatically, 156 00:09:02,920 --> 00:09:05,760 Speaker 1: that expression that I mentioned earlier about thinking with with 157 00:09:05,840 --> 00:09:10,200 Speaker 1: your penis has some sort of biological basis. And this 158 00:09:10,440 --> 00:09:14,040 Speaker 1: also is not to say that men of lower intelligence 159 00:09:14,080 --> 00:09:16,880 Speaker 1: are rendered infertile, you know, I mean they they're really 160 00:09:16,920 --> 00:09:19,080 Speaker 1: just more looking at this subset of men who do 161 00:09:19,200 --> 00:09:21,360 Speaker 1: have high i Q scores and looking at their sperm. 162 00:09:21,400 --> 00:09:24,040 Speaker 1: Like you said, yeah, it's not the opposite does not 163 00:09:24,120 --> 00:09:26,640 Speaker 1: prove true yet. But once we we found this pair 164 00:09:26,679 --> 00:09:29,080 Speaker 1: of studies and then all of a sudden, we had 165 00:09:29,120 --> 00:09:33,400 Speaker 1: this research domino effect take place, and we would like 166 00:09:33,480 --> 00:09:37,040 Speaker 1: to invite you along for for this little, this little 167 00:09:37,080 --> 00:09:39,679 Speaker 1: journey that we took. Okay, because where are we right now? 168 00:09:39,720 --> 00:09:44,960 Speaker 1: We're as semen and intelligence. Okay, but semen high quality 169 00:09:44,960 --> 00:09:50,079 Speaker 1: semen also correlated two looks. And maybe this sounds like, 170 00:09:50,480 --> 00:09:53,400 Speaker 1: maybe it sounds obvious, because I mean when you when 171 00:09:53,400 --> 00:09:55,560 Speaker 1: you watch these shows and maybes about women going to 172 00:09:55,640 --> 00:09:58,600 Speaker 1: like a sperm donor or looking for a sp sperm donor, honously, 173 00:09:58,640 --> 00:10:01,800 Speaker 1: I want someone who's handsome and alligen, et cetera. But 174 00:10:01,920 --> 00:10:03,320 Speaker 1: the fact of the matter is is that when we 175 00:10:03,320 --> 00:10:05,960 Speaker 1: were looking at these studies, they were all dated within 176 00:10:06,040 --> 00:10:09,080 Speaker 1: the last if not year or so, the last five years. 177 00:10:09,120 --> 00:10:11,320 Speaker 1: So this is a fairly new research of study, to 178 00:10:11,320 --> 00:10:14,560 Speaker 1: the point that one of the literature literature reviews we're 179 00:10:14,559 --> 00:10:17,480 Speaker 1: reading basically gave the SmackDown to some of these methodologies 180 00:10:17,520 --> 00:10:20,240 Speaker 1: and was like, we need a lot more studies on semen, right, 181 00:10:20,240 --> 00:10:22,960 Speaker 1: because a lot of times when researchers need to study semen, 182 00:10:23,000 --> 00:10:25,439 Speaker 1: where do they go. They go to fertility clinics, and 183 00:10:25,520 --> 00:10:27,480 Speaker 1: so you start off right there. It might not be 184 00:10:27,600 --> 00:10:32,600 Speaker 1: the most representative population sample because a lot of times 185 00:10:32,679 --> 00:10:34,960 Speaker 1: this is um semen coming from men who might have 186 00:10:35,040 --> 00:10:37,880 Speaker 1: had fertility issues in the past. But going back to 187 00:10:37,920 --> 00:10:43,520 Speaker 1: this um handsomeness correlation. UM, there was a study from 188 00:10:43,679 --> 00:10:48,400 Speaker 1: the University of Valencia in Spain and they found a 189 00:10:48,440 --> 00:10:53,720 Speaker 1: correlation between uh faster sperm those very what it was 190 00:10:53,960 --> 00:10:59,720 Speaker 1: molly the sperm motility, excellent sperm motility, and faces men 191 00:11:00,000 --> 00:11:02,960 Speaker 1: of faces most attractive to women. Like they basically had 192 00:11:03,200 --> 00:11:06,160 Speaker 1: women come in check out pictures of men, rate the 193 00:11:06,160 --> 00:11:09,160 Speaker 1: ones they found most attractive, and then kind of took 194 00:11:09,200 --> 00:11:11,880 Speaker 1: the most attractive ones, checked out their sperm low and behold, 195 00:11:11,920 --> 00:11:14,319 Speaker 1: they got some good swimmers, right. But this was an 196 00:11:14,320 --> 00:11:18,040 Speaker 1: interesting aspect of these findings too. While they have a 197 00:11:18,040 --> 00:11:22,000 Speaker 1: lot of good swimmers, there was no relationship between how 198 00:11:22,280 --> 00:11:26,440 Speaker 1: handsome the men were in the concentration of sperm. So 199 00:11:26,559 --> 00:11:30,200 Speaker 1: you might have like, you know, like ten really great 200 00:11:30,800 --> 00:11:33,920 Speaker 1: swimmers in there, but it's not necessarily like jam packed 201 00:11:34,320 --> 00:11:38,240 Speaker 1: there seems not necessarily jam packed with sperm, not like 202 00:11:38,280 --> 00:11:40,800 Speaker 1: the intelligent guys, because that's I mean, in that first 203 00:11:40,840 --> 00:11:42,840 Speaker 1: day we were talking about those men. Could we all 204 00:11:43,040 --> 00:11:47,640 Speaker 1: meet all of those qualifications in terms of quantity and motility, 205 00:11:47,720 --> 00:11:50,600 Speaker 1: the brains in a way winning out over beauty. But 206 00:11:50,679 --> 00:11:53,600 Speaker 1: then then research starts to snowball because there was kind 207 00:11:53,640 --> 00:11:57,120 Speaker 1: of a counter study to this, saying I'm not so 208 00:11:57,160 --> 00:12:02,760 Speaker 1: sure that semen quality and men's attractiveness are really that correlated. 209 00:12:03,000 --> 00:12:07,280 Speaker 1: But this took place in Australia. This was serving Australian 210 00:12:07,320 --> 00:12:09,559 Speaker 1: men as opposed to the Spanish men who were surveying 211 00:12:09,600 --> 00:12:11,920 Speaker 1: in the in the first study. So based on these 212 00:12:11,920 --> 00:12:14,120 Speaker 1: two studies, we found we have sort of an interesting 213 00:12:14,160 --> 00:12:18,839 Speaker 1: competition going on between Spanish men Australian men because the 214 00:12:18,880 --> 00:12:22,160 Speaker 1: Australian men didn't have that despite being as handsome as 215 00:12:22,160 --> 00:12:26,559 Speaker 1: the Spanish. Yes, that's a very handsome men. Yeah, we're 216 00:12:26,559 --> 00:12:30,440 Speaker 1: not dissing either either countries. Men take no offense, but 217 00:12:30,920 --> 00:12:34,600 Speaker 1: your sperm is different. Yeah. But again, like we said, 218 00:12:35,000 --> 00:12:37,040 Speaker 1: you've got to look at the methodology because people are 219 00:12:37,040 --> 00:12:40,200 Speaker 1: not quite convinced we've got the best way to collect 220 00:12:40,280 --> 00:12:44,520 Speaker 1: sperm yet. And when you continue researching sperm quality. All 221 00:12:44,520 --> 00:12:47,479 Speaker 1: of these studies on sperm quality, there are other factors 222 00:12:47,520 --> 00:12:51,640 Speaker 1: obviously that go into whether or not, you know, semen 223 00:12:51,760 --> 00:12:57,440 Speaker 1: is chock full of highly mobile or sperm or not 224 00:12:57,520 --> 00:13:00,520 Speaker 1: so much. For instance, there's been research done saying that 225 00:13:00,840 --> 00:13:03,640 Speaker 1: once men hit around the age of twenty, their sperm 226 00:13:03,679 --> 00:13:06,439 Speaker 1: count starts to diminish a little bit. Some think that 227 00:13:06,559 --> 00:13:10,160 Speaker 1: antioxidants have an impact, like the more an accident rich 228 00:13:10,320 --> 00:13:15,160 Speaker 1: diet men have been, the richer their semen is. All 229 00:13:15,200 --> 00:13:17,320 Speaker 1: of these different factors going into well and even to 230 00:13:17,360 --> 00:13:18,880 Speaker 1: go back to this first day we were talking about 231 00:13:18,880 --> 00:13:21,680 Speaker 1: with intelligence, um, the one with the v A men. Uh. 232 00:13:21,760 --> 00:13:24,680 Speaker 1: They were told to have stained from ejaculating for several 233 00:13:24,760 --> 00:13:27,320 Speaker 1: days and you know, they have no way of knowing 234 00:13:27,320 --> 00:13:29,240 Speaker 1: whether the men actually did that, but there was some 235 00:13:29,280 --> 00:13:32,199 Speaker 1: sort of hypothesis that if these men truly were intelligent, 236 00:13:32,320 --> 00:13:35,079 Speaker 1: that they would have had the ability to follow instructions 237 00:13:35,960 --> 00:13:39,640 Speaker 1: and not do that. But I mean, obviously the amount 238 00:13:39,679 --> 00:13:42,880 Speaker 1: of time between your last ejaculation effects how much sperm 239 00:13:42,960 --> 00:13:46,000 Speaker 1: is in your semens exactly. They're all these different variables, 240 00:13:46,000 --> 00:13:49,080 Speaker 1: which is probably why you mentioned that literature review that 241 00:13:49,120 --> 00:13:52,400 Speaker 1: we found analyzing all these different sperm studies saying, oh 242 00:13:52,480 --> 00:13:55,440 Speaker 1: my gosh, we need to go back and we need 243 00:13:55,480 --> 00:13:58,120 Speaker 1: to find a better way to study semen essentially, And 244 00:13:58,160 --> 00:14:01,960 Speaker 1: it's kind of funny because for for all these thousands 245 00:14:02,000 --> 00:14:05,280 Speaker 1: of years, semen has kept the world turning and have 246 00:14:05,480 --> 00:14:08,520 Speaker 1: the human species here and we're just kind of getting 247 00:14:08,520 --> 00:14:11,240 Speaker 1: to the bottom of it. And the thing about it is, Molly, 248 00:14:12,040 --> 00:14:17,640 Speaker 1: the last podcast we recorded involved so many studies looking 249 00:14:17,679 --> 00:14:21,240 Speaker 1: at every different angle of women and ovulation and how 250 00:14:21,280 --> 00:14:26,000 Speaker 1: that affects us. I mean, there are just journals devoted 251 00:14:26,360 --> 00:14:30,040 Speaker 1: to that egg dropping, that fallopian two, the craziness that 252 00:14:30,080 --> 00:14:34,480 Speaker 1: happens afterward. Semen. It's just now starting to step into 253 00:14:34,520 --> 00:14:37,160 Speaker 1: the spotlight. Really it is. And uh, you know that 254 00:14:37,240 --> 00:14:40,080 Speaker 1: I think it'll be an interesting research field. I guess 255 00:14:40,120 --> 00:14:41,880 Speaker 1: to keep an eye on. That sounds weird to say, 256 00:14:42,000 --> 00:14:45,400 Speaker 1: and specialists Jeffrey Miller, man, he's breaking new ground. I 257 00:14:45,520 --> 00:14:47,480 Speaker 1: know this has been Jeffrey Miller week on the podcast. 258 00:14:47,480 --> 00:14:50,000 Speaker 1: I hope Jeffrey Miller, here's this podcast, and I hope 259 00:14:50,040 --> 00:14:52,640 Speaker 1: we explained your study right. So if you do hear this, 260 00:14:52,720 --> 00:14:55,720 Speaker 1: But um, you know, it's like I said, it does 261 00:14:55,760 --> 00:14:57,880 Speaker 1: seem odd that there in one way, it does seem 262 00:14:57,880 --> 00:14:59,880 Speaker 1: out that there says about this because you know, women 263 00:15:00,320 --> 00:15:03,360 Speaker 1: who have gone to clinics looking for a firm downer 264 00:15:03,440 --> 00:15:07,320 Speaker 1: do look for these factors. But and you know, obviously 265 00:15:07,360 --> 00:15:08,960 Speaker 1: if you ask them on what she wants, she probably 266 00:15:08,960 --> 00:15:13,160 Speaker 1: said someone who I find attractive and who I find intelligent. There, 267 00:15:13,160 --> 00:15:16,120 Speaker 1: you know there's a reason for it. Even though it 268 00:15:16,200 --> 00:15:20,040 Speaker 1: might seem as more aesthetic and about companionship, it might 269 00:15:20,080 --> 00:15:22,160 Speaker 1: actually just be because we know that those people can 270 00:15:22,200 --> 00:15:26,080 Speaker 1: give us really good children. We're looking for that, um, 271 00:15:26,120 --> 00:15:29,520 Speaker 1: the best matrix. Going back to the fitness factor, uh, 272 00:15:29,680 --> 00:15:32,920 Speaker 1: that that different researchers are kind of trying to unravel 273 00:15:32,960 --> 00:15:36,480 Speaker 1: and see what all goes into it. So maybe, you know, 274 00:15:36,560 --> 00:15:40,640 Speaker 1: maybe intelligence and semen maybe that's a that's an interesting 275 00:15:40,680 --> 00:15:43,480 Speaker 1: starting point. So we would like to hear what you 276 00:15:43,560 --> 00:15:47,440 Speaker 1: all think about this idea of intelligence and and semen 277 00:15:47,520 --> 00:15:51,280 Speaker 1: quality and all of the other correlates, because again, I 278 00:15:51,280 --> 00:15:55,000 Speaker 1: think a lot of these researchers kind of make these claims, 279 00:15:55,040 --> 00:15:59,040 Speaker 1: but also a little with a little hesitation, because it 280 00:15:59,080 --> 00:16:02,240 Speaker 1: does seem like a pretty huge conclusion to draw. So 281 00:16:02,360 --> 00:16:04,920 Speaker 1: let us know your thoughts, mom stuff at hell stuffworks 282 00:16:04,960 --> 00:16:11,120 Speaker 1: dot com or posted up on our Facebook page. All right, 283 00:16:11,160 --> 00:16:13,280 Speaker 1: I've got a listener email from someone who did not 284 00:16:13,320 --> 00:16:16,920 Speaker 1: want to be named, and I'm just gonna summarize her 285 00:16:16,920 --> 00:16:19,640 Speaker 1: emails since there are some distinguishing factors in there, but 286 00:16:19,720 --> 00:16:22,880 Speaker 1: basically it's about one of our older podcasts about sororities, 287 00:16:22,920 --> 00:16:26,000 Speaker 1: and we were talking about hazing and all the different 288 00:16:26,000 --> 00:16:28,680 Speaker 1: forms that hazing can take. And this particular listener lived 289 00:16:28,680 --> 00:16:32,280 Speaker 1: through and experience where she was hazed pretty badly and 290 00:16:32,640 --> 00:16:36,840 Speaker 1: as a result, quit the sorority and disaffiliated, and uh, 291 00:16:37,200 --> 00:16:40,880 Speaker 1: became re quainted about the sorority because she was still 292 00:16:40,960 --> 00:16:43,240 Speaker 1: upset about what was going on, was worried about girls 293 00:16:43,280 --> 00:16:46,200 Speaker 1: who might be getting expelled or would be in serious, 294 00:16:46,480 --> 00:16:49,760 Speaker 1: you know, physical danger, and so she went through the 295 00:16:49,800 --> 00:16:54,680 Speaker 1: process of testifying against her sorority. And uh, long story short, 296 00:16:54,760 --> 00:16:58,520 Speaker 1: just wanted to tell our listeners about a website called 297 00:16:59,000 --> 00:17:03,880 Speaker 1: www dot Stop hazing dot org because she found it 298 00:17:04,000 --> 00:17:07,960 Speaker 1: very helpful in terms of getting help and getting the 299 00:17:07,960 --> 00:17:11,520 Speaker 1: word out about hazing and trying to bring it into it. 300 00:17:11,640 --> 00:17:15,560 Speaker 1: So stop hazing dot org. All right, and for a 301 00:17:15,640 --> 00:17:19,560 Speaker 1: some more kind of public awareness um emails, we got 302 00:17:19,760 --> 00:17:23,160 Speaker 1: one from Jennifer in response to our episode on rape 303 00:17:23,240 --> 00:17:27,000 Speaker 1: kits and Jennifer has been working with people over the 304 00:17:27,040 --> 00:17:29,120 Speaker 1: last six years working with people who have experienced rape 305 00:17:29,119 --> 00:17:32,760 Speaker 1: and sexual violence as a medical advocate, hotline worker, and 306 00:17:32,800 --> 00:17:35,320 Speaker 1: account sort at a rape crisis center, and she just 307 00:17:35,359 --> 00:17:38,600 Speaker 1: had a few more things to throw out there in 308 00:17:38,680 --> 00:17:41,359 Speaker 1: terms of what to do if you are raped or 309 00:17:41,400 --> 00:17:45,680 Speaker 1: sexually assaulted, and she says, calling UM the rain hotline, 310 00:17:45,680 --> 00:17:48,560 Speaker 1: which is one eight hundred six five six hope will 311 00:17:48,600 --> 00:17:51,760 Speaker 1: automatically direct a college to the closest rape rape crisis 312 00:17:51,840 --> 00:17:54,360 Speaker 1: hotline in her area code is or her area code, 313 00:17:54,400 --> 00:17:57,600 Speaker 1: I should say UM. She also says, if you've changed 314 00:17:57,600 --> 00:17:59,600 Speaker 1: your clothes since an assault, please place them in a 315 00:17:59,640 --> 00:18:02,440 Speaker 1: paper not plastic bag when you bring them into the hospital. 316 00:18:02,680 --> 00:18:04,600 Speaker 1: I can't remember the science behind it, but it keeps 317 00:18:04,640 --> 00:18:08,399 Speaker 1: any potential evidence fresher if you will. She says, if 318 00:18:08,440 --> 00:18:10,280 Speaker 1: you're still wearing the clothes you are assaulted in, try 319 00:18:10,320 --> 00:18:12,720 Speaker 1: to find someone who can bring you a new outfit. 320 00:18:13,240 --> 00:18:15,120 Speaker 1: You might want to hand over what you were wearing 321 00:18:15,119 --> 00:18:16,720 Speaker 1: for evidence, and it can take a while to get 322 00:18:16,720 --> 00:18:18,760 Speaker 1: it back. She says, bring a friend if you can 323 00:18:18,800 --> 00:18:20,920 Speaker 1: to the hospital and the e R visits can take 324 00:18:20,920 --> 00:18:24,080 Speaker 1: a very very long time and This is her last 325 00:18:24,119 --> 00:18:26,480 Speaker 1: tip that she put in bold. She says, it is 326 00:18:26,520 --> 00:18:29,040 Speaker 1: never ever too late to talk about and heal from 327 00:18:29,080 --> 00:18:32,280 Speaker 1: great and sexual violence, even if it's been decades. There's 328 00:18:32,280 --> 00:18:34,840 Speaker 1: someone who's willing to listen and care. Please call and 329 00:18:34,840 --> 00:18:38,640 Speaker 1: ask for support. Contrary to what many people fear, asking 330 00:18:38,880 --> 00:18:41,040 Speaker 1: for help is a sign of courage and strength, not 331 00:18:41,160 --> 00:18:45,280 Speaker 1: weakness for instability. So thank you so much, Jennifer for 332 00:18:45,320 --> 00:18:48,879 Speaker 1: the good advice. Um again, our email is mom Stuff 333 00:18:48,880 --> 00:18:51,120 Speaker 1: at how stuff works dot com. You can check us out, 334 00:18:51,320 --> 00:18:54,320 Speaker 1: leave a comment on Facebook as well, follow us on Twitter, 335 00:18:54,840 --> 00:18:57,280 Speaker 1: and of course we always have our old blog Stuff 336 00:18:57,280 --> 00:19:00,200 Speaker 1: I've Never Told You at how stuff works dot com. 337 00:19:03,000 --> 00:19:05,480 Speaker 1: For more on this and thousands of other topics, visit 338 00:19:05,560 --> 00:19:09,639 Speaker 1: how staff works dot com. Want more how stuff works, 339 00:19:09,960 --> 00:19:12,080 Speaker 1: check out our blogs on the house stuff works dot 340 00:19:12,160 --> 00:19:19,240 Speaker 1: com home page. Brought to you by the reinvented two 341 00:19:19,240 --> 00:19:21,760 Speaker 1: thousand twelve camera. It's ready, are you