1 00:00:00,280 --> 00:00:02,920 Speaker 1: Brought to you by the reinvented two thousand twelve Camray. 2 00:00:03,160 --> 00:00:09,920 Speaker 1: It's ready. Are you welcome to stop? Mom never told you? 3 00:00:10,119 --> 00:00:18,000 Speaker 1: From housetop works dot com. Hey, and welcome to the podcast. 4 00:00:18,040 --> 00:00:21,000 Speaker 1: This is Molly and I'm Kristen and Christine. Today I 5 00:00:21,040 --> 00:00:23,159 Speaker 1: wanted to talk to you about some recent history. In 6 00:00:23,200 --> 00:00:25,360 Speaker 1: two thousand five, I don't know if you remember this, 7 00:00:25,400 --> 00:00:27,920 Speaker 1: there was a big controversy when the president of Harvard 8 00:00:28,640 --> 00:00:31,680 Speaker 1: made some remarks that suggested that there were innate reasons 9 00:00:31,680 --> 00:00:34,360 Speaker 1: for why women did not perform as well as men 10 00:00:34,520 --> 00:00:36,839 Speaker 1: on tests of math and science. I do remember that, 11 00:00:37,680 --> 00:00:41,199 Speaker 1: and I vote, just with personal experience as my background, 12 00:00:41,240 --> 00:00:43,120 Speaker 1: I vote that this is not true, that there's no 13 00:00:43,200 --> 00:00:46,519 Speaker 1: biological reason for why uh men and womanship performed any 14 00:00:46,560 --> 00:00:49,120 Speaker 1: differently on science. Because I was on the math team 15 00:00:49,120 --> 00:00:51,879 Speaker 1: when I was younger. Well that was you're talking about science, 16 00:00:51,920 --> 00:00:54,560 Speaker 1: that was that's math. Molly different. You think that you 17 00:00:54,640 --> 00:00:57,400 Speaker 1: want to the boys and girls do just as well. 18 00:00:57,520 --> 00:01:00,800 Speaker 1: I do. The math team was made up of half 19 00:01:00,840 --> 00:01:03,600 Speaker 1: girls have boys. And I will say, although I was 20 00:01:03,640 --> 00:01:07,160 Speaker 1: not a science team member, science leaked. I feel that 21 00:01:07,200 --> 00:01:11,440 Speaker 1: the class breakdown and that was also even interesting interesting. 22 00:01:11,600 --> 00:01:14,039 Speaker 1: I was. I was homeschooled, so I was not a mathlete. 23 00:01:14,080 --> 00:01:16,640 Speaker 1: I was on I had my own math team. But um, 24 00:01:16,920 --> 00:01:19,600 Speaker 1: I I do think though, that that there's something to 25 00:01:19,959 --> 00:01:23,679 Speaker 1: the idea that that men and women at least think differently. Okay, Like, 26 00:01:23,760 --> 00:01:25,720 Speaker 1: right before we came in here, I decided to do 27 00:01:25,760 --> 00:01:30,319 Speaker 1: a little Google search, UM on a very scientific magazine 28 00:01:30,319 --> 00:01:34,680 Speaker 1: called Cosmopolitan that you may have seen, um, because there 29 00:01:34,680 --> 00:01:37,240 Speaker 1: seems to be sort of an obsession with especially with 30 00:01:37,280 --> 00:01:41,679 Speaker 1: like those types of female magazines, that guys definitely think differently. 31 00:01:42,000 --> 00:01:44,319 Speaker 1: And so I just looked through a few covers and um, 32 00:01:44,360 --> 00:01:46,440 Speaker 1: almost every single one of them had some kind of 33 00:01:46,440 --> 00:01:51,040 Speaker 1: headline about an article relating to, you know, decoding the 34 00:01:51,120 --> 00:01:54,960 Speaker 1: male brain. Um. So I think that I think there's 35 00:01:54,960 --> 00:01:56,800 Speaker 1: at least a belief out there that men and women's 36 00:01:56,800 --> 00:02:00,240 Speaker 1: brains are different. Okay, So let's investigate today whether they 37 00:02:00,280 --> 00:02:02,640 Speaker 1: think differently, and if they do, if they are better 38 00:02:02,640 --> 00:02:05,320 Speaker 1: at math and science. Okay, Okay, Christen, Let's start our 39 00:02:05,320 --> 00:02:08,200 Speaker 1: investigation with just some generic stats from the New York 40 00:02:08,240 --> 00:02:11,040 Speaker 1: Times their studies where they find that men score better 41 00:02:11,520 --> 00:02:14,239 Speaker 1: at tasks that involve orienting objects in space, which would 42 00:02:14,240 --> 00:02:16,560 Speaker 1: seem to indicate, you know, more aptitude for math and 43 00:02:16,600 --> 00:02:19,239 Speaker 1: science and that kind of reasoning. And the women score 44 00:02:19,240 --> 00:02:22,919 Speaker 1: better at language tests, which might explain, you know, why 45 00:02:22,960 --> 00:02:26,359 Speaker 1: women talk too much. Whoa Molly, I mean, that's that's 46 00:02:26,400 --> 00:02:29,960 Speaker 1: kind of a stereotype. You know, men men can read maps, 47 00:02:30,040 --> 00:02:32,480 Speaker 1: women talk too much. I don't. I don't. I don't 48 00:02:32,520 --> 00:02:35,080 Speaker 1: know that. I fully buy that. Well, and that's when 49 00:02:35,120 --> 00:02:37,119 Speaker 1: you're on the same side with scientists. They are very 50 00:02:37,120 --> 00:02:40,320 Speaker 1: hesitant to sort of draw major conclusions from that because 51 00:02:40,320 --> 00:02:43,560 Speaker 1: they don't want to look as if they're they're sexists somehow. Well, 52 00:02:43,680 --> 00:02:45,520 Speaker 1: let's let's go back, you know, let's go back to 53 00:02:45,560 --> 00:02:48,720 Speaker 1: studies and let's go back to the science. Um. In fact, 54 00:02:48,760 --> 00:02:53,000 Speaker 1: the matter is, men do have larger brains. As much 55 00:02:53,000 --> 00:02:57,200 Speaker 1: as I hate to say it, they really do proportionately. Um, 56 00:02:57,280 --> 00:02:59,480 Speaker 1: they got they got slightly bigger brains. Yeah, even when 57 00:02:59,480 --> 00:03:02,920 Speaker 1: you account differences and body size, and wait, the size 58 00:03:02,960 --> 00:03:05,079 Speaker 1: of the brain is bigger. And again, scientists are kind 59 00:03:05,080 --> 00:03:08,040 Speaker 1: of hesitant here because you know, they have found that 60 00:03:08,440 --> 00:03:11,040 Speaker 1: the old adage holds true that size does matter. Size 61 00:03:11,080 --> 00:03:14,400 Speaker 1: has been linked to bigger intelligence. Basically. But before we 62 00:03:14,440 --> 00:03:17,120 Speaker 1: go too far, that does not mean though that men 63 00:03:17,720 --> 00:03:22,320 Speaker 1: as a sex are more intelligent than women. Why not, Kristen, 64 00:03:22,560 --> 00:03:26,200 Speaker 1: Because I think we have to now go inside of 65 00:03:26,240 --> 00:03:28,919 Speaker 1: the brain to look at the different you know, parts 66 00:03:29,000 --> 00:03:31,919 Speaker 1: parts of our brains that that are different between men 67 00:03:31,960 --> 00:03:34,040 Speaker 1: and women, because I don't think that you can just 68 00:03:34,160 --> 00:03:38,000 Speaker 1: judge it by size alone. What if it's size of 69 00:03:38,080 --> 00:03:42,119 Speaker 1: certain sections, look look at that. Well. In two thousand one, 70 00:03:42,520 --> 00:03:46,240 Speaker 1: researchers from Harvard found that yes, indeed, men and women 71 00:03:46,320 --> 00:03:48,960 Speaker 1: have um different parts of our brains are larger depending 72 00:03:49,000 --> 00:03:52,840 Speaker 1: on your sex. For instance, for women, um, we have 73 00:03:53,000 --> 00:03:57,120 Speaker 1: larger frontal lobes, which are responsible for our problem solving 74 00:03:57,160 --> 00:04:01,280 Speaker 1: and decision making. So that's pretty awesome. And our limbic 75 00:04:01,360 --> 00:04:05,240 Speaker 1: cortex is also larger, and olymbic cortex is responsible for 76 00:04:05,320 --> 00:04:10,360 Speaker 1: regulating emotions. Figure, maybe that's why we're more emotional than men. 77 00:04:10,480 --> 00:04:12,640 Speaker 1: Is that what they're saying? I don't know, Well, what's what? 78 00:04:12,640 --> 00:04:15,240 Speaker 1: What about what they find for men? So men have 79 00:04:15,280 --> 00:04:18,320 Speaker 1: a bigger parietal cortex, which is responsible again for this 80 00:04:18,400 --> 00:04:21,320 Speaker 1: sort of idea of space perception and being able to 81 00:04:21,320 --> 00:04:24,440 Speaker 1: orient an object in space and visually or you know, 82 00:04:24,520 --> 00:04:27,359 Speaker 1: looking at everything and knowing where it is. And the 83 00:04:27,400 --> 00:04:31,600 Speaker 1: amygdala is bigger, and that regulates sexual and social behavior. 84 00:04:32,560 --> 00:04:34,760 Speaker 1: I really don't want to draw any conclusions about that, 85 00:04:35,160 --> 00:04:38,200 Speaker 1: not being a researcher, but so basically they're saying that, 86 00:04:38,400 --> 00:04:41,679 Speaker 1: you know, the house may be slightly bigger, but women 87 00:04:41,720 --> 00:04:44,000 Speaker 1: have rooms that kind of make up for for not 88 00:04:44,080 --> 00:04:46,960 Speaker 1: having as big a house as men. And uh, there's 89 00:04:47,000 --> 00:04:49,320 Speaker 1: also a difference in the amount of gray matter and 90 00:04:49,360 --> 00:04:52,599 Speaker 1: white matter between men and women. Um. Men have approximately 91 00:04:53,360 --> 00:04:58,320 Speaker 1: six point five times more gray matter than women. Um. 92 00:04:58,720 --> 00:05:01,120 Speaker 1: And the gray matter is is the part of the 93 00:05:01,160 --> 00:05:04,160 Speaker 1: brain that it's active. It's full of active neurons, which 94 00:05:04,160 --> 00:05:06,760 Speaker 1: does you know, the active thinking. Yeah, they're there, have 95 00:05:06,920 --> 00:05:10,279 Speaker 1: they have more space to have brilliant thoughts. That doesn't 96 00:05:10,279 --> 00:05:13,640 Speaker 1: make women Dollard's wait listen to this. In fact, women 97 00:05:13,720 --> 00:05:17,520 Speaker 1: have about ten times more white matter than men do. Yeah, 98 00:05:17,839 --> 00:05:19,359 Speaker 1: that's a lot of white matter. And here's what the 99 00:05:19,360 --> 00:05:22,960 Speaker 1: white matter does. It's basically the connections between all these 100 00:05:23,000 --> 00:05:25,960 Speaker 1: active neurons. So basically we may not have as many 101 00:05:26,000 --> 00:05:30,680 Speaker 1: active thought places, but we have a lot of connections 102 00:05:30,720 --> 00:05:33,600 Speaker 1: between them all. So everything moves much faster in our brain. 103 00:05:34,120 --> 00:05:37,360 Speaker 1: And another reason why women's brains seem to work faster 104 00:05:37,520 --> 00:05:42,040 Speaker 1: is because we have up to twelve percent more neurons 105 00:05:42,120 --> 00:05:45,640 Speaker 1: than men. Basically, our neurons are just more uh, more 106 00:05:45,720 --> 00:05:49,840 Speaker 1: condensed and more tightly packed into our brains than men. 107 00:05:49,920 --> 00:05:52,240 Speaker 1: So maybe that makes up for the size difference. Men 108 00:05:52,320 --> 00:05:54,400 Speaker 1: have larger brains, but we have more neurons in a 109 00:05:54,400 --> 00:05:57,400 Speaker 1: smaller space. Yeah, And all of these you know details 110 00:05:57,400 --> 00:05:59,280 Speaker 1: about the gray matter and the white matter came from 111 00:05:59,279 --> 00:06:01,680 Speaker 1: this article in the l A Times about a researcher 112 00:06:02,160 --> 00:06:05,400 Speaker 1: who was um thinking about exactly where these neurons might 113 00:06:05,400 --> 00:06:08,440 Speaker 1: be different in a male brain versus a female brain, 114 00:06:08,960 --> 00:06:12,239 Speaker 1: and this psychologist, Sander Wittelston, basically found that on certain 115 00:06:12,320 --> 00:06:15,720 Speaker 1: layers of the cortex, especially for the ones that involve 116 00:06:15,800 --> 00:06:19,320 Speaker 1: you know, incoming outgoing signals, um, there's more of them 117 00:06:19,360 --> 00:06:21,640 Speaker 1: in women on those layers. Basically, if if you thought 118 00:06:21,640 --> 00:06:23,400 Speaker 1: of the brain like an onion and you peeled away 119 00:06:24,120 --> 00:06:26,520 Speaker 1: the different layers, there would be some layers that are 120 00:06:26,520 --> 00:06:29,120 Speaker 1: just crowded with neurons on a female brain that aren't 121 00:06:29,120 --> 00:06:32,200 Speaker 1: that way on a male brain. Right. But just because 122 00:06:32,520 --> 00:06:35,960 Speaker 1: we have differences in in our brain anatomies doesn't mean 123 00:06:36,000 --> 00:06:39,400 Speaker 1: that we the outcome the actual you know, intelligence, the 124 00:06:39,400 --> 00:06:41,839 Speaker 1: way we process things at the end, is all that 125 00:06:42,040 --> 00:06:46,080 Speaker 1: different from each other? Um. There was a study reported 126 00:06:46,120 --> 00:06:49,599 Speaker 1: in the New York Times UM evaluating the different ways 127 00:06:49,880 --> 00:06:52,040 Speaker 1: uh the different brain parts that lied up in men 128 00:06:52,040 --> 00:06:54,599 Speaker 1: and women when they are pronouncing a word. In men, 129 00:06:54,760 --> 00:06:58,760 Speaker 1: a very small part of their brain UM was active 130 00:06:58,839 --> 00:07:01,320 Speaker 1: when they were pronouncing a word, whereas for women, a 131 00:07:01,520 --> 00:07:05,599 Speaker 1: much much larger area in the brain on both sides 132 00:07:06,040 --> 00:07:09,320 Speaker 1: was active. But at the same time they were both 133 00:07:09,360 --> 00:07:11,920 Speaker 1: both men and women were successful at pronouncing the words. 134 00:07:11,920 --> 00:07:13,600 Speaker 1: Just because men were using a small amount of their 135 00:07:13,600 --> 00:07:16,800 Speaker 1: brain than women didn't mean that one was performing better 136 00:07:16,840 --> 00:07:19,120 Speaker 1: or worse than the other. Yeah, basically there's more than 137 00:07:19,160 --> 00:07:22,160 Speaker 1: one way to get to the same answer. And this may, 138 00:07:22,200 --> 00:07:24,960 Speaker 1: you know, help explain why you know, we think of 139 00:07:25,000 --> 00:07:27,600 Speaker 1: a guy as better at reading a map. It might 140 00:07:27,600 --> 00:07:29,040 Speaker 1: just be that his area the brain is better at 141 00:07:29,040 --> 00:07:32,080 Speaker 1: looking at that, whereas women have different associations with landmarks 142 00:07:32,080 --> 00:07:34,960 Speaker 1: and just view how to get there differently. Because all 143 00:07:35,000 --> 00:07:38,239 Speaker 1: in all, men and women have basically the same average 144 00:07:38,240 --> 00:07:42,120 Speaker 1: IQ scores. So you know, these these brain differences aren't 145 00:07:42,280 --> 00:07:46,880 Speaker 1: aren't making you know, one sex smarter than the other. Okay, 146 00:07:46,920 --> 00:07:49,520 Speaker 1: So then if it's not basically the brain structure. If 147 00:07:49,560 --> 00:07:52,040 Speaker 1: that's sort of there and set, and you know, it 148 00:07:52,120 --> 00:07:55,040 Speaker 1: evens out in the end, could it be society that 149 00:07:55,080 --> 00:07:58,200 Speaker 1: makes girls better at language and men better at math 150 00:07:58,240 --> 00:08:01,040 Speaker 1: and science? Yeah, I think that they're The environment might 151 00:08:01,080 --> 00:08:04,640 Speaker 1: have something to do with it. But what was her name? 152 00:08:04,760 --> 00:08:07,480 Speaker 1: Sander Wyteleston would disagree with that? She would disagree? Why 153 00:08:07,480 --> 00:08:12,560 Speaker 1: would disagree? Because she studied Albert Einstein's brain and basically 154 00:08:12,600 --> 00:08:14,560 Speaker 1: she found that he had a different brain and it 155 00:08:14,640 --> 00:08:17,320 Speaker 1: was like that from birth. It's not like anything happened 156 00:08:17,320 --> 00:08:20,840 Speaker 1: in Albert Einstein's upbringing that made him think differently and 157 00:08:21,320 --> 00:08:23,440 Speaker 1: you know, or made him better at math than a 158 00:08:23,520 --> 00:08:26,640 Speaker 1: female Albert Einstein might have been. Basically, he was always 159 00:08:26,640 --> 00:08:28,800 Speaker 1: going to sort of have this brain structure. And so 160 00:08:29,080 --> 00:08:32,240 Speaker 1: it doesn't matter how girly or raised or how you know, 161 00:08:33,160 --> 00:08:37,319 Speaker 1: manly or raised, if such an upbringing exists, UM, that 162 00:08:37,440 --> 00:08:39,360 Speaker 1: structure your brain is always going to be there. Well, 163 00:08:39,360 --> 00:08:41,640 Speaker 1: I think we also have to take into account um 164 00:08:41,760 --> 00:08:44,600 Speaker 1: brain development. Obviously, the brain that we're born with is 165 00:08:44,640 --> 00:08:48,960 Speaker 1: not the brain that we die with, hopefully um. And 166 00:08:49,040 --> 00:08:51,760 Speaker 1: so the case may be that girls and boys brains 167 00:08:51,760 --> 00:08:55,720 Speaker 1: are simply developing a different rate. And while that's happening. 168 00:08:55,840 --> 00:09:01,240 Speaker 1: You know, the education system isn't exactly UM compensating for that. Right, So, say, 169 00:09:01,320 --> 00:09:03,000 Speaker 1: you know, if you're you know, a third grade girl 170 00:09:03,120 --> 00:09:04,840 Speaker 1: and you're just not doing well at math, and it 171 00:09:04,960 --> 00:09:07,320 Speaker 1: just might be that those areas you brain haven't really 172 00:09:07,320 --> 00:09:10,960 Speaker 1: caught up to to those skill sets. UM. If you're 173 00:09:10,960 --> 00:09:12,640 Speaker 1: not doing well, it's not like your teacher is going 174 00:09:12,679 --> 00:09:15,200 Speaker 1: to recognize exactly what's having in your brain and things 175 00:09:15,240 --> 00:09:18,080 Speaker 1: down for you. So that might discourage the student and 176 00:09:18,160 --> 00:09:20,319 Speaker 1: she'll give up. Yeah, you get frustrated. You don't want 177 00:09:20,320 --> 00:09:22,160 Speaker 1: to keep trying in these classes where you're you're just 178 00:09:22,200 --> 00:09:24,800 Speaker 1: not mentally, I guess your brain is not ready for 179 00:09:24,840 --> 00:09:28,960 Speaker 1: the material yet. And I think that, uh that just 180 00:09:29,080 --> 00:09:33,040 Speaker 1: social bias in general can also impact this difference between 181 00:09:33,200 --> 00:09:37,320 Speaker 1: UM performance in math and science between girls and boys. Right, Yeah, 182 00:09:37,360 --> 00:09:39,080 Speaker 1: I mean I think that you know, if you walk 183 00:09:39,080 --> 00:09:41,120 Speaker 1: into a classroom and you see that you're the omen girl, 184 00:09:41,200 --> 00:09:43,040 Speaker 1: that's going to be sort of further challenging for you, 185 00:09:43,120 --> 00:09:45,960 Speaker 1: just on a social aspect that you're saying. And there's 186 00:09:46,000 --> 00:09:48,560 Speaker 1: this one study that was reported in UM on Live 187 00:09:48,600 --> 00:09:50,640 Speaker 1: science dot com that kind of backs that up. They 188 00:09:50,679 --> 00:09:54,240 Speaker 1: looked at these female students who at a college level 189 00:09:54,320 --> 00:09:57,959 Speaker 1: or pursuing degrees and very you know, typically male um 190 00:09:58,080 --> 00:10:01,679 Speaker 1: fields like math, science, engineer, ring, um. And they showed 191 00:10:01,720 --> 00:10:05,240 Speaker 1: one group of the female students of video where they 192 00:10:05,240 --> 00:10:07,600 Speaker 1: could go to the summer program to really develop their 193 00:10:07,640 --> 00:10:10,920 Speaker 1: skills in their fields, and the classroom was evenly distributed 194 00:10:10,960 --> 00:10:13,800 Speaker 1: males females. And then they showed another group of video 195 00:10:14,120 --> 00:10:17,560 Speaker 1: where there was just like, you know, two females in 196 00:10:17,559 --> 00:10:20,280 Speaker 1: a classroom full of males. And who do you think 197 00:10:20,280 --> 00:10:22,600 Speaker 1: wanted to go to the workshop after seeing those videos, 198 00:10:24,080 --> 00:10:26,079 Speaker 1: I'm gonna guess the one where it was gender neutral. 199 00:10:26,160 --> 00:10:27,800 Speaker 1: It was, and you know, they wanted to guess somewhere 200 00:10:27,800 --> 00:10:29,840 Speaker 1: where they could be um, you know, not the odd 201 00:10:29,840 --> 00:10:32,080 Speaker 1: man out or the odd female out, if you will, Right, 202 00:10:32,120 --> 00:10:34,160 Speaker 1: But females aren't the only you know, we aren't the 203 00:10:34,160 --> 00:10:39,120 Speaker 1: only ones who are susceptible to those kind of environmental influences. 204 00:10:39,320 --> 00:10:44,079 Speaker 1: One study conducted at n y U evaluated white men's 205 00:10:44,120 --> 00:10:46,920 Speaker 1: mass scores when they were taking a test um when 206 00:10:46,960 --> 00:10:48,400 Speaker 1: they knew that they would just be scored on their 207 00:10:48,440 --> 00:10:50,800 Speaker 1: own performance, and then again when they thought that they 208 00:10:50,800 --> 00:10:54,800 Speaker 1: were going to be scored against Asian students scores Asian 209 00:10:54,840 --> 00:10:58,559 Speaker 1: men's scores, to be specific, and their scores actually dropped 210 00:10:58,679 --> 00:11:00,600 Speaker 1: when they thought that they were going to be evaluated 211 00:11:00,640 --> 00:11:04,760 Speaker 1: against the Asian or so you might always have sort of, uh, 212 00:11:05,800 --> 00:11:09,000 Speaker 1: you know, conscious thought that there's someone out there that's 213 00:11:09,000 --> 00:11:12,320 Speaker 1: better than you. Add this because in the same study, um, 214 00:11:12,320 --> 00:11:15,079 Speaker 1: when females were told that the exam was gender neutral, 215 00:11:15,400 --> 00:11:17,199 Speaker 1: they did much better when they told, you know, when 216 00:11:17,200 --> 00:11:20,200 Speaker 1: they weren't going to be evaluated against males. But on 217 00:11:20,240 --> 00:11:23,120 Speaker 1: the upside, that tells us that either male, whether male 218 00:11:23,200 --> 00:11:26,920 Speaker 1: or female, we can overcome these biological differences. You know. 219 00:11:27,120 --> 00:11:29,520 Speaker 1: It might just be things in our environment that are 220 00:11:29,600 --> 00:11:31,560 Speaker 1: that are sort of holding us back, right, it's all 221 00:11:31,600 --> 00:11:34,400 Speaker 1: on our head, um. And but the thing about it, Christen, 222 00:11:34,480 --> 00:11:37,520 Speaker 1: is that not everyone is as enlightened as you and 223 00:11:37,559 --> 00:11:40,160 Speaker 1: I are. And some worry that if you know that 224 00:11:40,200 --> 00:11:42,199 Speaker 1: a female brain is different than a male brain, even 225 00:11:42,240 --> 00:11:44,200 Speaker 1: if you know they get to the same place eventually, 226 00:11:44,720 --> 00:11:47,800 Speaker 1: it might you know, be sort of a discrimination factor. 227 00:11:47,800 --> 00:11:49,920 Speaker 1: Would you not hire a female for a certain job, 228 00:11:49,960 --> 00:11:52,319 Speaker 1: would you not take a female to a certain school, 229 00:11:52,920 --> 00:11:55,200 Speaker 1: And that's you know, that's a danger. But I think 230 00:11:55,240 --> 00:11:57,959 Speaker 1: what we really should worry about here is that if 231 00:11:58,000 --> 00:12:00,800 Speaker 1: men and women have these different brains, then it can 232 00:12:00,800 --> 00:12:05,520 Speaker 1: really affect them physically. Uh. For instance, most research for 233 00:12:05,600 --> 00:12:10,080 Speaker 1: new medication is conducted just on male test subjects and 234 00:12:10,120 --> 00:12:14,040 Speaker 1: male animals because the thinking goes that women would make 235 00:12:14,360 --> 00:12:18,160 Speaker 1: um bad test subjects because of our periods or whatever 236 00:12:18,200 --> 00:12:20,319 Speaker 1: stage in our menstrual cycle where and you know it 237 00:12:20,320 --> 00:12:23,199 Speaker 1: could make you could skew the results because our our 238 00:12:23,240 --> 00:12:27,079 Speaker 1: brains are behaving erratically. So they're just testing on men 239 00:12:27,120 --> 00:12:30,000 Speaker 1: and not taking into account the differences between male and 240 00:12:30,040 --> 00:12:32,600 Speaker 1: female brains. Yeah, and at some point, you know, a 241 00:12:32,640 --> 00:12:35,280 Speaker 1: woman on a in a menstrual cycle, we'll have to 242 00:12:35,320 --> 00:12:38,360 Speaker 1: take a pill that's only been tested um on a man. 243 00:12:38,840 --> 00:12:42,680 Speaker 1: So while disorders like depression and chronic anxiety are diagnosed 244 00:12:42,880 --> 00:12:48,480 Speaker 1: a lot more often in women, UM disorders such as autism, dyslexia, 245 00:12:48,480 --> 00:12:52,920 Speaker 1: and schizophrenia are for more likely to be diagnosed in men. Yeah. 246 00:12:52,960 --> 00:12:55,200 Speaker 1: And also there's some evidence that if there was like 247 00:12:55,200 --> 00:12:57,240 Speaker 1: a brain injury, like if you had a stroke, then 248 00:12:57,320 --> 00:12:59,480 Speaker 1: your brain would come back from that differently depending on 249 00:12:59,520 --> 00:13:03,200 Speaker 1: whether you're male or female. Um. You know, maybe if 250 00:13:03,240 --> 00:13:05,480 Speaker 1: you were trying to learn how to pick up something again, 251 00:13:05,920 --> 00:13:09,480 Speaker 1: and we have these differences in sort of visual spatial reasoning. 252 00:13:10,080 --> 00:13:12,000 Speaker 1: Your arm might do different things based on what your 253 00:13:12,000 --> 00:13:14,960 Speaker 1: brain is telling you if you're a male or female. Right, So, 254 00:13:15,040 --> 00:13:18,440 Speaker 1: it seems like from what we've learned, UH, to some extent, 255 00:13:18,480 --> 00:13:22,320 Speaker 1: we need to embrace and recognize the differences between men 256 00:13:22,320 --> 00:13:25,920 Speaker 1: and women's brains, because it doesn't necessarily mean that one 257 00:13:25,920 --> 00:13:30,360 Speaker 1: sex is more intelligent than the other. They simply work differently, exactly, 258 00:13:31,200 --> 00:13:34,600 Speaker 1: I would. I think we worked with that matter out 259 00:13:35,720 --> 00:13:39,560 Speaker 1: with our white matter. But whether you're male or female, 260 00:13:39,800 --> 00:13:42,200 Speaker 1: white matter, gray matter, there's one thing that can be 261 00:13:42,240 --> 00:13:45,440 Speaker 1: the same for everyone. With the checking out this article 262 00:13:45,960 --> 00:13:49,840 Speaker 1: and other articles about the brain at how stuff works 263 00:13:49,920 --> 00:13:56,240 Speaker 1: dot com for moral this and thousands of other topics. 264 00:13:56,360 --> 00:14:03,319 Speaker 1: Doesn't how stuff works dot com m brought to you 265 00:14:03,400 --> 00:14:06,760 Speaker 1: by the reinvented two thousand twelve Camry. It's ready, are 266 00:14:06,840 --> 00:14:06,960 Speaker 1: you