1 00:00:01,560 --> 00:00:04,720 Speaker 1: Welcome to Stuff from the Science Lab from how stuff 2 00:00:04,760 --> 00:00:16,400 Speaker 1: works dot com. Hey guys, welcome to the podcast. This 3 00:00:16,440 --> 00:00:19,960 Speaker 1: is Alison Laddermiliks, science editor at how stuff works dot com. 4 00:00:20,000 --> 00:00:21,919 Speaker 1: And this is Robert Lamb, science writer and how stuff 5 00:00:21,960 --> 00:00:26,400 Speaker 1: works dot com. So Robert, I'm gonna take you back 6 00:00:26,440 --> 00:00:29,920 Speaker 1: a few summers. It was sunny. How was at my 7 00:00:29,960 --> 00:00:33,360 Speaker 1: sister in laws. We were in the pool. It was 8 00:00:33,360 --> 00:00:35,839 Speaker 1: a fine pool. It was a fine summer day. I 9 00:00:35,920 --> 00:00:38,760 Speaker 1: was enjoying myself thoroughly. And on that day I had 10 00:00:38,760 --> 00:00:42,800 Speaker 1: a very unique experience. I was swimming with my nephews 11 00:00:43,800 --> 00:00:47,159 Speaker 1: and all of a sudden I spelled this odor. It 12 00:00:47,320 --> 00:00:50,559 Speaker 1: was a strong odor, and it was it was emanating 13 00:00:50,600 --> 00:00:55,680 Speaker 1: from my mischievous, giggling little nephew. And I didn't know 14 00:00:55,720 --> 00:00:58,240 Speaker 1: what the odor was. I never smelled it before. I'd 15 00:00:58,320 --> 00:01:00,720 Speaker 1: never smelled this odor before, But good lord, was it that. 16 00:01:01,720 --> 00:01:03,520 Speaker 1: And all of a sudden I got a little excited 17 00:01:03,600 --> 00:01:06,720 Speaker 1: because I think what I was smelling for the very 18 00:01:06,760 --> 00:01:10,840 Speaker 1: first time that day was asparagus. P and in your 19 00:01:10,880 --> 00:01:14,319 Speaker 1: oul of all places, well, no mine, my sister in law, 20 00:01:14,440 --> 00:01:17,399 Speaker 1: thank goodness. But yeah, and this was exciting to me 21 00:01:17,440 --> 00:01:19,880 Speaker 1: because I had always heard about asparagus P and some 22 00:01:20,000 --> 00:01:21,720 Speaker 1: of us maybe who can smell it, or some of 23 00:01:21,760 --> 00:01:24,400 Speaker 1: us who can't smell it, and I thought that maybe 24 00:01:24,920 --> 00:01:26,760 Speaker 1: maybe for the first time, I had this experience where 25 00:01:26,760 --> 00:01:29,880 Speaker 1: I could smell asparagus P. Right, and if for those 26 00:01:29,880 --> 00:01:31,919 Speaker 1: of you out there who don't know what we're talking about, 27 00:01:32,319 --> 00:01:35,319 Speaker 1: the scientific literature refers to it as quote an odor 28 00:01:35,400 --> 00:01:38,440 Speaker 1: compared to that of rotten boiled cabbage. And it did 29 00:01:38,480 --> 00:01:42,319 Speaker 1: indeed smell like rotten boiled cabbage. It was it was powerful, 30 00:01:42,360 --> 00:01:44,639 Speaker 1: it was distinct. I tend to think of it smelling 31 00:01:44,720 --> 00:01:47,720 Speaker 1: kind of like like a robot p or something. I 32 00:01:47,720 --> 00:01:50,480 Speaker 1: don't know. The reason I was so excited by this 33 00:01:50,600 --> 00:01:53,400 Speaker 1: was because I thought that I couldn't smell it, and 34 00:01:53,720 --> 00:01:55,680 Speaker 1: I've been told that there are certain people who can 35 00:01:55,720 --> 00:01:58,160 Speaker 1: smell said asparagus P, and so this was the very 36 00:01:58,200 --> 00:02:01,720 Speaker 1: first time. But as it turns out, there's this whole 37 00:02:01,880 --> 00:02:05,520 Speaker 1: scientific school of thought on you know, asparagus P, whether 38 00:02:05,560 --> 00:02:08,480 Speaker 1: they're and it's split into two camps, right right. On 39 00:02:08,480 --> 00:02:11,160 Speaker 1: one hand, you have the people, um, the scientists who 40 00:02:11,200 --> 00:02:15,960 Speaker 1: support the idea of excretors and non excretors. UM. According 41 00:02:16,000 --> 00:02:18,440 Speaker 1: to this line of thinking, you have people like me 42 00:02:18,680 --> 00:02:22,760 Speaker 1: an excretor who's urine smells like, uh, well, it smells 43 00:02:22,800 --> 00:02:25,920 Speaker 1: funny following the consumption of asparagus. And then we have 44 00:02:26,000 --> 00:02:28,200 Speaker 1: people like you, a non excreader. Right, I would have 45 00:02:28,200 --> 00:02:30,320 Speaker 1: been a non excretor, so this was my first encounter 46 00:02:30,440 --> 00:02:33,200 Speaker 1: with an excretor. Right. But then there are also people 47 00:02:33,360 --> 00:02:36,920 Speaker 1: who who claim that it's not really an issue of 48 00:02:36,960 --> 00:02:40,400 Speaker 1: whether or not you're urine smells funny after asparagus. There 49 00:02:40,440 --> 00:02:45,040 Speaker 1: they argue that everybody's urine smells funny following asparagus, insist 50 00:02:45,120 --> 00:02:47,240 Speaker 1: that some of us can sniff it up, you can 51 00:02:47,240 --> 00:02:50,680 Speaker 1: smell it, and some people can't. Your story, however, tends 52 00:02:50,720 --> 00:02:52,920 Speaker 1: to tends to a point more in the direction of 53 00:02:52,960 --> 00:02:56,240 Speaker 1: the excret or non excretor argument. So this is one 54 00:02:56,240 --> 00:02:59,440 Speaker 1: of those examples where I'm a little being fuddled by 55 00:02:59,480 --> 00:03:02,360 Speaker 1: the fact that takes up space and our on our genes. Yeah, 56 00:03:02,400 --> 00:03:04,200 Speaker 1: this is this is definitely one of those where you 57 00:03:04,440 --> 00:03:06,880 Speaker 1: read any kind of scientific mention of it, and there 58 00:03:06,960 --> 00:03:09,280 Speaker 1: you think they're definitely people out there going, hey, is 59 00:03:09,320 --> 00:03:12,320 Speaker 1: my tax money going to support some scientists smell in 60 00:03:12,360 --> 00:03:14,880 Speaker 1: a bunch of asparagus, p you know, and it's uh 61 00:03:14,880 --> 00:03:17,799 Speaker 1: it's it's not not really like that per se. So 62 00:03:18,080 --> 00:03:19,960 Speaker 1: I think some people maybe and in fact, they have 63 00:03:20,040 --> 00:03:23,320 Speaker 1: been messing around with it since what. Yeah, that's the 64 00:03:23,560 --> 00:03:28,840 Speaker 1: that's the earliest written document documentation of asparagus. P Uh. 65 00:03:28,880 --> 00:03:31,440 Speaker 1: They may have you smelled it before that. There may 66 00:03:31,440 --> 00:03:34,920 Speaker 1: have been uh, there may have been instances like your 67 00:03:34,960 --> 00:03:40,200 Speaker 1: experience with like ancient Roman baths suddenly reaking of boiled cabbage. 68 00:03:40,600 --> 00:03:44,600 Speaker 1: That's a terrible, terrible thought. But but yeah, is the 69 00:03:44,640 --> 00:03:47,560 Speaker 1: first time people started talking about in nineteen fifty six 70 00:03:47,640 --> 00:03:50,080 Speaker 1: is when the excretor non excretor argument came about. And 71 00:03:50,120 --> 00:03:53,040 Speaker 1: do they know what the genetic mechanism is at work? Yes, 72 00:03:53,200 --> 00:03:56,320 Speaker 1: it is M I M. That's stands for missing in 73 00:03:56,440 --> 00:04:00,520 Speaker 1: metastasis uh one oh eight three nine. But they're still 74 00:04:00,560 --> 00:04:05,360 Speaker 1: split on the excrutor versus the American Journal of Human Genetics. Uh, 75 00:04:05,520 --> 00:04:07,080 Speaker 1: they're still still kind of up in the air. But 76 00:04:07,120 --> 00:04:09,160 Speaker 1: we like to say we know that more or less 77 00:04:09,160 --> 00:04:13,120 Speaker 1: a genetic address that this, uh, this issue is stemming from. 78 00:04:13,120 --> 00:04:17,400 Speaker 1: So that's definitely one of the stranger genetic um markers. Yeah, 79 00:04:17,600 --> 00:04:21,520 Speaker 1: what we're talking about here is uh genetic polymorphism, which 80 00:04:21,560 --> 00:04:24,080 Speaker 1: is the fancy way of saying, uh, my genes are 81 00:04:24,080 --> 00:04:27,360 Speaker 1: different than your genes. Sure, yeah, So asparagus is one 82 00:04:27,360 --> 00:04:30,160 Speaker 1: of those examples where it's not entirely straightforward. You may 83 00:04:30,200 --> 00:04:32,720 Speaker 1: have a marker, but you may not have that particular 84 00:04:32,880 --> 00:04:37,360 Speaker 1: behavior or ability expressed. But sometimes things are more straightforward, 85 00:04:37,440 --> 00:04:42,280 Speaker 1: and the they call them man Delian traits after Gregor Mendel, 86 00:04:42,360 --> 00:04:43,800 Speaker 1: the guy who came up with those two by two 87 00:04:43,880 --> 00:04:46,320 Speaker 1: boxes in which you had to put in, you know, 88 00:04:46,360 --> 00:04:49,719 Speaker 1: eye color and figure out what the dominant or recessive 89 00:04:49,760 --> 00:04:53,680 Speaker 1: gene was. Right, so you have things like whether you're 90 00:04:53,680 --> 00:04:56,800 Speaker 1: an albino or not. You know, are these very um, 91 00:04:56,880 --> 00:04:59,680 Speaker 1: are these very straightforward examples where a single gene controls 92 00:04:59,680 --> 00:05:02,680 Speaker 1: the expres So albino said, whether or not you have 93 00:05:02,720 --> 00:05:05,839 Speaker 1: a cleft chin, whether you have dimples, and then um, 94 00:05:05,920 --> 00:05:07,960 Speaker 1: you have some fun ones. And one of these that 95 00:05:08,000 --> 00:05:11,200 Speaker 1: I'd never come across before, it was whether or not 96 00:05:11,360 --> 00:05:14,640 Speaker 1: you have hair on your mid digit. And this is uh, yeah, 97 00:05:14,720 --> 00:05:16,760 Speaker 1: this is a pretty cool. If you look at your 98 00:05:17,080 --> 00:05:20,520 Speaker 1: fingers right now, unless you're driving, um, look at your fingers, 99 00:05:20,560 --> 00:05:22,680 Speaker 1: you'll notice that each finger is basically can be divided 100 00:05:22,720 --> 00:05:26,160 Speaker 1: into three sections. That middle section, uh might take a 101 00:05:26,160 --> 00:05:27,920 Speaker 1: look at that and see if there's any hair on it. 102 00:05:28,400 --> 00:05:30,839 Speaker 1: Uh and uh, if you have hair on it, then yes, 103 00:05:30,880 --> 00:05:34,280 Speaker 1: you have mid digit finger hair exactly. And if you don't, 104 00:05:34,400 --> 00:05:39,039 Speaker 1: then I guess you have mid digit finger baldness. I 105 00:05:39,120 --> 00:05:42,160 Speaker 1: have the mid digit finger baldness. I have to admit. See, 106 00:05:42,200 --> 00:05:45,640 Speaker 1: I think that maybe you're not looking hard enough, because 107 00:05:45,680 --> 00:05:48,719 Speaker 1: I actually do have a little tiny I'm secretly shaving 108 00:05:48,720 --> 00:05:51,679 Speaker 1: them out of shame every morning so that nobody notices 109 00:05:51,920 --> 00:05:54,400 Speaker 1: I have like a little mid digit mohawk. Um. But 110 00:05:54,520 --> 00:05:57,279 Speaker 1: I also read something that said some people, some people's 111 00:05:57,279 --> 00:06:00,400 Speaker 1: hair there it gets worn off by toil and uh, 112 00:06:00,640 --> 00:06:02,800 Speaker 1: stuff like housework or you know, if you're working with 113 00:06:02,839 --> 00:06:05,800 Speaker 1: your hands a lot, that maybe you do have that genu. 114 00:06:06,120 --> 00:06:08,680 Speaker 1: Maybe you do have that phenotype. But this seems like 115 00:06:08,800 --> 00:06:11,520 Speaker 1: a great, great opening for some sort of weird Victorian fad, 116 00:06:11,560 --> 00:06:13,480 Speaker 1: you know, where you have like fake hair on your 117 00:06:13,480 --> 00:06:15,479 Speaker 1: mid knuckle to show how little you have to work. 118 00:06:16,160 --> 00:06:19,119 Speaker 1: But maybe that's just me. Right, you have like Harry 119 00:06:19,160 --> 00:06:28,000 Speaker 1: middle fingers or Harry mid digit. Right, you put um 120 00:06:28,080 --> 00:06:30,479 Speaker 1: and then so carrying this on a little bit um. 121 00:06:30,520 --> 00:06:34,000 Speaker 1: Another another man Delian trade that's very straightforward is the 122 00:06:34,000 --> 00:06:36,039 Speaker 1: bitter taste perception. And you guys have probably heard of 123 00:06:36,080 --> 00:06:40,520 Speaker 1: this UM with respect to supertasters. So this just basically 124 00:06:40,560 --> 00:06:44,200 Speaker 1: measures UM. And this is different than just mere food snobbery, 125 00:06:44,200 --> 00:06:46,800 Speaker 1: where where someone has a lot of cool lingo they 126 00:06:46,800 --> 00:06:49,400 Speaker 1: throw around and pretend to appreciate the food on levels 127 00:06:49,400 --> 00:06:53,719 Speaker 1: of the average person cannot even aspire to these people. Supposally, 128 00:06:53,720 --> 00:07:00,720 Speaker 1: you're actually experiencing different tastes and higher sensitivity to certain tastes. UM. 129 00:07:00,800 --> 00:07:04,560 Speaker 1: Although they're they're pretty rare, pretty rare folks, but generally UM. 130 00:07:04,680 --> 00:07:07,120 Speaker 1: Sometimes they're just testing whether you can taste PTC or 131 00:07:07,200 --> 00:07:10,480 Speaker 1: p r OP. And these are these bitter bitter tastes, 132 00:07:11,200 --> 00:07:13,920 Speaker 1: and they kind of accidentally came across this discovery. And 133 00:07:13,960 --> 00:07:17,800 Speaker 1: you might say, why, why why are we occupying time 134 00:07:17,880 --> 00:07:19,960 Speaker 1: and money on this thing? Well, you know, it does 135 00:07:20,000 --> 00:07:22,800 Speaker 1: have some ramifications for things like nutrition and health. I mean, 136 00:07:23,200 --> 00:07:26,440 Speaker 1: if you if your tasteboats are a certain way, then 137 00:07:26,440 --> 00:07:28,560 Speaker 1: you'll be inclined to eat certain foods, and that has 138 00:07:28,640 --> 00:07:31,680 Speaker 1: ramifications for your nutrition and your overall health I suppose. 139 00:07:32,400 --> 00:07:34,960 Speaker 1: And even some of these that sound you know, kind 140 00:07:34,960 --> 00:07:38,040 Speaker 1: of pointless. Uh, It's it's important to realize that, you know, 141 00:07:38,040 --> 00:07:40,040 Speaker 1: we were continuing to learn more about who we are. 142 00:07:40,120 --> 00:07:43,320 Speaker 1: We've mapped the human genome, you know, and UH, And 143 00:07:44,080 --> 00:07:46,320 Speaker 1: it's kind of like mapping a city. You know, there 144 00:07:46,320 --> 00:07:48,040 Speaker 1: are certain parts of a city you need to know 145 00:07:48,040 --> 00:07:49,280 Speaker 1: where they are. You know, you need to know where 146 00:07:49,280 --> 00:07:51,120 Speaker 1: the hospital is. You need to know where the courthouses. 147 00:07:51,320 --> 00:07:53,480 Speaker 1: Right to the hospital. The courthouse in this instance might 148 00:07:53,520 --> 00:07:55,640 Speaker 1: be like the b R A, b r C A 149 00:07:55,720 --> 00:07:57,679 Speaker 1: one or b r C A to the breast cancer 150 00:07:57,720 --> 00:07:59,240 Speaker 1: genes that they've done so much record, those are the 151 00:07:59,280 --> 00:08:00,640 Speaker 1: ones that, you know, were they want to be able 152 00:08:00,680 --> 00:08:04,200 Speaker 1: to know, you know, what we're doing with those particular genes. UM. However, 153 00:08:04,320 --> 00:08:06,240 Speaker 1: any complete map is also going to have other things 154 00:08:06,280 --> 00:08:10,400 Speaker 1: on there, like the local taco bell or you know, 155 00:08:10,560 --> 00:08:13,440 Speaker 1: or the the yacht club. You know, places that you 156 00:08:13,440 --> 00:08:16,200 Speaker 1: you either have no interest, you know, or or desire 157 00:08:16,560 --> 00:08:19,400 Speaker 1: in going to. But it's part of having a complete map. 158 00:08:20,000 --> 00:08:24,680 Speaker 1: And then there are instances where UM seemingly uninteresting or 159 00:08:24,720 --> 00:08:28,480 Speaker 1: unimportant UM item on the map can actually clue us 160 00:08:28,520 --> 00:08:32,400 Speaker 1: into others such as UH. If if, for instance, the 161 00:08:32,400 --> 00:08:37,320 Speaker 1: taco bell was also indicator to turn for the hospital exactly, 162 00:08:37,559 --> 00:08:39,400 Speaker 1: then then it would be important to know where the 163 00:08:39,400 --> 00:08:41,720 Speaker 1: taco bell is. And something that kind of falls in 164 00:08:41,760 --> 00:08:44,600 Speaker 1: this category is another one of these straightforward traits called 165 00:08:44,760 --> 00:08:47,880 Speaker 1: ear wax. Yes, and you probably don't need somebody to 166 00:08:47,920 --> 00:08:50,440 Speaker 1: test your do a little genetic testing on you to 167 00:08:50,559 --> 00:08:52,240 Speaker 1: figure out what kind of irrects you have. You probably 168 00:08:52,240 --> 00:08:54,440 Speaker 1: know what kind of areas you need is a finger 169 00:08:54,600 --> 00:08:58,040 Speaker 1: or a Q tip. So ir rex comes into flavors. 170 00:08:58,920 --> 00:09:02,960 Speaker 1: Don't say flavors. I only see flavors because they describe 171 00:09:02,960 --> 00:09:05,280 Speaker 1: it as wet and golden in golden reminds me of raisins, 172 00:09:05,360 --> 00:09:07,880 Speaker 1: and that's why I think of that. And then there's 173 00:09:07,920 --> 00:09:11,120 Speaker 1: also the dry and flaky cud right, So so those 174 00:09:11,160 --> 00:09:13,520 Speaker 1: are the two kinds of ear wax. It's like gross 175 00:09:13,559 --> 00:09:16,640 Speaker 1: and grosser, the two different varieties. And this is what 176 00:09:16,800 --> 00:09:21,120 Speaker 1: the ABC leven gene is supposedly there for. But the 177 00:09:21,200 --> 00:09:23,720 Speaker 1: other thing that the this gene is implicated in is 178 00:09:23,840 --> 00:09:26,280 Speaker 1: UH the production of classroom, which is an early form 179 00:09:26,360 --> 00:09:29,080 Speaker 1: of breast milk for nursing moms. So on some level, 180 00:09:29,160 --> 00:09:31,880 Speaker 1: ear wax and breast milk may have some sort of 181 00:09:32,440 --> 00:09:35,040 Speaker 1: very intricate relationship that we don't know how it works. Yeah, 182 00:09:35,080 --> 00:09:37,920 Speaker 1: it's it's also linked to UH also linked to some 183 00:09:37,920 --> 00:09:40,600 Speaker 1: some body odor issues as well, and it's you know, 184 00:09:40,640 --> 00:09:42,320 Speaker 1: it's one of those things where ear wax not really 185 00:09:42,480 --> 00:09:46,480 Speaker 1: an issue, body odor sometimes an issue. Breast cancer definitely 186 00:09:46,520 --> 00:09:49,679 Speaker 1: an issue. So we've also found some really interesting genetic 187 00:09:49,720 --> 00:09:53,720 Speaker 1: markers linked to sleep issues. For instance, there's the period 188 00:09:53,720 --> 00:09:57,680 Speaker 1: three genetic marker, which scientists have studied um in relation 189 00:09:57,760 --> 00:10:02,760 Speaker 1: to sleep deprivation. Sleep deprivation we all know as generally 190 00:10:02,760 --> 00:10:04,360 Speaker 1: a bad thing. You know, you see the idea, you 191 00:10:04,400 --> 00:10:07,599 Speaker 1: don't get enough sleep, you're more susceptible to illness, you 192 00:10:07,679 --> 00:10:10,240 Speaker 1: might be crankier, You're gonna have a harder time at 193 00:10:10,280 --> 00:10:13,040 Speaker 1: work the next day, may crash on the highway on 194 00:10:13,080 --> 00:10:15,960 Speaker 1: your way to work. Right, you might see phantoms, et cetera. 195 00:10:16,080 --> 00:10:18,480 Speaker 1: It can get really bad, you know, ask Keith Richards. 196 00:10:18,520 --> 00:10:22,280 Speaker 1: I guess. But but the the issue is, uh, some 197 00:10:22,320 --> 00:10:26,040 Speaker 1: people have a short period three gene and scientists have 198 00:10:26,040 --> 00:10:28,080 Speaker 1: found that the people with the short version are better 199 00:10:28,120 --> 00:10:30,959 Speaker 1: able to cope with sleep deprivation. So like Albert Einstein 200 00:10:30,960 --> 00:10:33,040 Speaker 1: who was said to exist on only if you are 201 00:10:33,120 --> 00:10:36,280 Speaker 1: sleep at night. Yeah, or you know the college student 202 00:10:36,320 --> 00:10:38,600 Speaker 1: who can get a half hour sleep and you know, 203 00:10:38,679 --> 00:10:40,880 Speaker 1: eight red bulls later he's able to you know, go 204 00:10:41,080 --> 00:10:45,800 Speaker 1: perfectly well with the classes. Um, it's you know, these 205 00:10:45,800 --> 00:10:47,960 Speaker 1: people are the exceptions. So this is the form of 206 00:10:48,000 --> 00:10:50,160 Speaker 1: the gene or the form of the genetic variant that 207 00:10:50,200 --> 00:10:53,040 Speaker 1: you would want. I suppose, Yeah, we bathed the you know, 208 00:10:53,080 --> 00:10:55,800 Speaker 1: the point where you can pick and choose what your 209 00:10:56,120 --> 00:10:58,120 Speaker 1: genetic settings are going to be. This one would probably 210 00:10:58,160 --> 00:11:00,640 Speaker 1: be a good one. People with the longer of the gene, 211 00:11:00,800 --> 00:11:02,800 Speaker 1: these are the people that are going to be you know, 212 00:11:02,920 --> 00:11:04,800 Speaker 1: be all. If I don't get my eight hours of sleep, 213 00:11:04,960 --> 00:11:07,880 Speaker 1: you know, I'm worthless. I've got to have that, you know, 214 00:11:07,960 --> 00:11:10,280 Speaker 1: one pm nap, or I won't be able to function 215 00:11:10,360 --> 00:11:12,960 Speaker 1: that kind of thing. Do you take a one pm nap? 216 00:11:13,320 --> 00:11:16,840 Speaker 1: It's it's in my contract every day climbing to your desk, 217 00:11:16,840 --> 00:11:20,160 Speaker 1: like George Costanza, I have a little mat everything. What 218 00:11:20,240 --> 00:11:23,520 Speaker 1: about sleep? Have they found anything that sleep walking? Yeah, 219 00:11:23,559 --> 00:11:26,920 Speaker 1: there's actually there's another study dealing with uh the d 220 00:11:27,040 --> 00:11:31,440 Speaker 1: QB one polymorphic amino acid UH and UH they found 221 00:11:31,440 --> 00:11:35,319 Speaker 1: that this uh, this gene is particularly associated with the 222 00:11:35,600 --> 00:11:41,360 Speaker 1: motor control issues during sleep. Um, sleep walking. So these 223 00:11:41,360 --> 00:11:44,640 Speaker 1: annoying people who kick you in bed, restless leg syndrome, 224 00:11:44,720 --> 00:11:47,160 Speaker 1: wrestless leg syndrome is thrown. And they're also those annoying 225 00:11:47,200 --> 00:11:50,160 Speaker 1: people who who howl in their sleep. I've never heard 226 00:11:50,160 --> 00:11:53,960 Speaker 1: of how some people are howlers. So so the howling 227 00:11:54,000 --> 00:11:57,199 Speaker 1: has some sort of genetic background to you at huh okay. 228 00:11:58,040 --> 00:11:59,680 Speaker 1: But then again, like a lot of the stuff, you 229 00:11:59,679 --> 00:12:02,440 Speaker 1: could so be howling in your sleep because your your 230 00:12:02,520 --> 00:12:04,439 Speaker 1: job really sucks and you have nightmares about it, you 231 00:12:04,480 --> 00:12:06,640 Speaker 1: know that kind of thing. So a lot of what 232 00:12:06,800 --> 00:12:08,880 Speaker 1: makes us who we are and how we behave isn't 233 00:12:08,880 --> 00:12:12,360 Speaker 1: so straightforward, of course, and our genetics are anything but 234 00:12:12,760 --> 00:12:16,880 Speaker 1: simple and straightforward, right, And I think a great example 235 00:12:16,960 --> 00:12:18,880 Speaker 1: is that this is the whole issue of the quote 236 00:12:19,080 --> 00:12:23,480 Speaker 1: gauging unquote um And you know, first and foremost, there 237 00:12:23,600 --> 00:12:27,360 Speaker 1: is no gauging. Nobody is saying like, yes, the you know, 238 00:12:28,000 --> 00:12:30,640 Speaker 1: the such and such three seventy six here. If it's 239 00:12:30,679 --> 00:12:32,439 Speaker 1: on your game, it's off your straight. If it's in 240 00:12:32,480 --> 00:12:35,160 Speaker 1: the middle, you're probably buy. You know, nobody's saying that. 241 00:12:35,280 --> 00:12:37,679 Speaker 1: It's said that there are probably a number of genetic 242 00:12:37,720 --> 00:12:40,600 Speaker 1: markers of scientists who are saying but it's like it's 243 00:12:40,640 --> 00:12:43,200 Speaker 1: a it's a number of different genetic settings if you will, 244 00:12:43,480 --> 00:12:45,800 Speaker 1: and they're not the only thing determining, um, you know, 245 00:12:45,840 --> 00:12:48,600 Speaker 1: how you turn out. There's also a lot of um 246 00:12:48,640 --> 00:12:51,240 Speaker 1: you know, if your upbringing, it's social issues, it's it's 247 00:12:51,240 --> 00:12:54,760 Speaker 1: your environment, um, it's your parenting right and and that 248 00:12:55,040 --> 00:12:58,120 Speaker 1: goes beyond, you know, issues of sexual orientation and into uh, 249 00:12:58,640 --> 00:13:04,880 Speaker 1: any number of of behavioral and in biological filled nature 250 00:13:04,960 --> 00:13:09,079 Speaker 1: versus nurture debate on its finest, of course. So if 251 00:13:09,080 --> 00:13:12,199 Speaker 1: you want to learn more about genetics and what can 252 00:13:12,240 --> 00:13:13,880 Speaker 1: your spit tell you about your DNA, why don't you 253 00:13:13,920 --> 00:13:15,520 Speaker 1: go on over to how stuff works dot com. We 254 00:13:15,559 --> 00:13:18,120 Speaker 1: have so much good content around this, most of which 255 00:13:18,200 --> 00:13:27,959 Speaker 1: Robert wrote, thanks for listening, guys. For more on this 256 00:13:28,120 --> 00:13:30,640 Speaker 1: and thousands of other topics, is that how stuff works 257 00:13:30,640 --> 00:13:34,080 Speaker 1: dot com. Want more how stuff works, check out our 258 00:13:34,080 --> 00:13:36,520 Speaker 1: blogs on the house stuff works dot com home page