1 00:00:00,320 --> 00:00:02,920 Speaker 1: Brought to you by the reinvented two thousand twelve camera. 2 00:00:03,240 --> 00:00:10,000 Speaker 1: It's ready. Are you welcome to stump Mom never told you? 3 00:00:10,200 --> 00:00:17,479 Speaker 1: From house Stop Works dot Com. Hello and welcome to 4 00:00:17,480 --> 00:00:21,520 Speaker 1: the podcast. I'm Kristen and I'm Molly. Today we're talking 5 00:00:21,560 --> 00:00:25,239 Speaker 1: about whether it is possible to fall in love at 6 00:00:25,280 --> 00:00:29,520 Speaker 1: first sight. Such a cliche, love it first sight. Everyone's 7 00:00:29,520 --> 00:00:32,000 Speaker 1: probably thinking, well, I know the answer and it is no. 8 00:00:32,880 --> 00:00:37,080 Speaker 1: But anecdotally, I think a lot of us have maybe 9 00:00:37,159 --> 00:00:44,519 Speaker 1: experienced something akin to love at first sight. Someone speaking 10 00:00:44,560 --> 00:00:49,239 Speaker 1: from story hour, I am speaking from experience. Well, I 11 00:00:49,280 --> 00:00:52,880 Speaker 1: distinctly remember the first time he is now he is 12 00:00:52,920 --> 00:00:56,600 Speaker 1: now an not in a relationship with me anymore, but 13 00:00:56,640 --> 00:00:59,960 Speaker 1: we do still carre each other about each other very deeply. Uh. 14 00:01:00,080 --> 00:01:03,760 Speaker 1: First time I saw one of my ex boyfriends. UM. 15 00:01:03,960 --> 00:01:09,360 Speaker 1: I remember being at a very crowded show and I 16 00:01:09,400 --> 00:01:11,679 Speaker 1: stood up and it was in a small a small venue, 17 00:01:11,920 --> 00:01:14,920 Speaker 1: and I stood up on a chair or something like that, 18 00:01:15,040 --> 00:01:17,520 Speaker 1: or a bench or something to get a better view. 19 00:01:18,440 --> 00:01:21,200 Speaker 1: And I looked across the room and I saw this man. 20 00:01:21,959 --> 00:01:23,720 Speaker 1: And I had never seen this man before, which was 21 00:01:23,760 --> 00:01:26,160 Speaker 1: odd because it was a group of people, a lot 22 00:01:26,160 --> 00:01:28,480 Speaker 1: of familiar faces, but I've never seen him before. He 23 00:01:28,520 --> 00:01:32,880 Speaker 1: was talking to people I knew, and I just remember 24 00:01:32,920 --> 00:01:36,319 Speaker 1: seeing him and thinking, he looks like no one else 25 00:01:36,440 --> 00:01:40,600 Speaker 1: I have ever seen before, And my isn't he just handsome? 26 00:01:40,640 --> 00:01:43,640 Speaker 1: I wish I knew him. I wish I knew him, 27 00:01:43,760 --> 00:01:45,720 Speaker 1: And I didn't talk to him that night, you know, 28 00:01:45,840 --> 00:01:49,040 Speaker 1: I just kind of chucked that little thought away and 29 00:01:49,080 --> 00:01:53,840 Speaker 1: then lo and behold, Um, he had seen me in 30 00:01:53,960 --> 00:01:57,360 Speaker 1: similar situations, saying who is that last? I've never seen 31 00:01:57,440 --> 00:02:00,920 Speaker 1: her before, Not that he talked like that at all. Um, 32 00:02:00,960 --> 00:02:03,160 Speaker 1: But yeah, then come to find out we meet each other. 33 00:02:03,400 --> 00:02:05,919 Speaker 1: We'd had these experiences, we had seen each other from Afar, 34 00:02:06,480 --> 00:02:10,200 Speaker 1: and you know, something ticked off and inside of our 35 00:02:10,240 --> 00:02:16,000 Speaker 1: little little fluttering hearts and we shared a beautiful romance 36 00:02:16,400 --> 00:02:18,360 Speaker 1: for a long time. And I would say, that's the 37 00:02:18,360 --> 00:02:20,239 Speaker 1: closest thing that I can think of to love it 38 00:02:20,320 --> 00:02:23,560 Speaker 1: first sight. Wow, that was the sweetest story. It's pretty sweet. 39 00:02:23,760 --> 00:02:28,560 Speaker 1: And that man was John Hamm. That man was John Hamm. 40 00:02:28,639 --> 00:02:30,640 Speaker 1: That was you know, it was a lifetime ago before 41 00:02:30,639 --> 00:02:35,040 Speaker 1: he got married and became Don Draper on mad Men. Uh. 42 00:02:35,080 --> 00:02:37,600 Speaker 1: You know, but if you've ever had a man like 43 00:02:37,680 --> 00:02:41,680 Speaker 1: Don Draper, say, well, I just saw her. It reminds 44 00:02:41,680 --> 00:02:44,200 Speaker 1: me the first time I met Kermit the Frog, he 45 00:02:44,240 --> 00:02:49,240 Speaker 1: thought you were totess hot. Yeah, um so yeah, I 46 00:02:49,240 --> 00:02:51,560 Speaker 1: love it first sight. But the but then my question was, well, 47 00:02:51,760 --> 00:02:53,480 Speaker 1: you know, can we call that love it first sight 48 00:02:53,560 --> 00:02:55,680 Speaker 1: or is that just attraction it first sight? I don't know, 49 00:02:56,120 --> 00:02:59,280 Speaker 1: but either way, you don't need much time at all 50 00:03:00,080 --> 00:03:02,600 Speaker 1: to say, you know what, I'd like to see that 51 00:03:02,639 --> 00:03:06,280 Speaker 1: person again. Yeah, that person rings my little bill. And 52 00:03:06,360 --> 00:03:09,200 Speaker 1: people are saying, you know, if we have varying definitions 53 00:03:09,200 --> 00:03:12,560 Speaker 1: of what ring that bell means, then you know, and 54 00:03:12,800 --> 00:03:14,600 Speaker 1: I think it's perfectly possible to fall in love at 55 00:03:14,639 --> 00:03:18,679 Speaker 1: first sight and surprise, surprise, who are we going to 56 00:03:18,800 --> 00:03:23,560 Speaker 1: mention first none? Helen Fisher, anthropologist, We're not gonna talk 57 00:03:23,560 --> 00:03:27,120 Speaker 1: about it too long ago. Helen Fisher says that three 58 00:03:27,200 --> 00:03:30,120 Speaker 1: minutes is all you need all the time you need 59 00:03:30,400 --> 00:03:33,200 Speaker 1: to know whether or not somebody's gonna stick around. It 60 00:03:33,280 --> 00:03:35,920 Speaker 1: makes kind of a good case for speed dating because 61 00:03:35,960 --> 00:03:37,520 Speaker 1: that's how long I think you talked to a person 62 00:03:37,560 --> 00:03:39,600 Speaker 1: on a speed date, and she's saying, yes, you just 63 00:03:39,680 --> 00:03:42,360 Speaker 1: need that three minutes to know whether this person will 64 00:03:42,400 --> 00:03:43,960 Speaker 1: be in your life for a long time or not, 65 00:03:44,280 --> 00:03:48,400 Speaker 1: because it's that kind of instant attraction chemistry you can 66 00:03:48,560 --> 00:03:52,920 Speaker 1: your bodies do. Saysn't a whole lot of characteristics and 67 00:03:53,000 --> 00:03:56,440 Speaker 1: qualities without even knowing it. In every minute, just when 68 00:03:56,440 --> 00:03:59,040 Speaker 1: you're making small talk, you are getting the clues that 69 00:03:59,080 --> 00:04:01,400 Speaker 1: will let you know whether this is a good person. 70 00:04:01,440 --> 00:04:03,960 Speaker 1: But you've got to remember that Helen Fisher trades a 71 00:04:04,000 --> 00:04:06,720 Speaker 1: lot of traces, a lot of our behavior back to 72 00:04:06,800 --> 00:04:11,440 Speaker 1: our evolutionary forefathers, when our motives were to have a baby, 73 00:04:11,640 --> 00:04:13,560 Speaker 1: a healthy baby who can continue on the race. So 74 00:04:13,600 --> 00:04:16,120 Speaker 1: a lot of this stuff is based on that idea 75 00:04:16,200 --> 00:04:19,960 Speaker 1: that we still subconsciously seek out good partners. So you 76 00:04:20,000 --> 00:04:22,839 Speaker 1: combine that or not. But according to her, our brains 77 00:04:22,839 --> 00:04:26,160 Speaker 1: have been rewired. So in that three minutes, that's kind 78 00:04:26,200 --> 00:04:28,719 Speaker 1: of what we're on the lookout because it goes back to, 79 00:04:29,080 --> 00:04:31,440 Speaker 1: you know, producing a healthy child. But also the fact 80 00:04:31,440 --> 00:04:34,000 Speaker 1: that when you know, way back in evolutionary times, we 81 00:04:34,000 --> 00:04:36,160 Speaker 1: weren't living very long, so you kind of needed to 82 00:04:36,200 --> 00:04:38,560 Speaker 1: get busy pretty quick. Three minutes back then was like 83 00:04:38,600 --> 00:04:42,040 Speaker 1: a lifetime. Not really, but I mean that's what she's saying. 84 00:04:42,040 --> 00:04:43,719 Speaker 1: You don't have very long, you don't have like these 85 00:04:43,760 --> 00:04:46,480 Speaker 1: five years to date you've got, you know, the five 86 00:04:46,520 --> 00:04:48,400 Speaker 1: years should be spent having the child and raising it. 87 00:04:48,520 --> 00:04:51,200 Speaker 1: So you've only got three minutes. What can you suss 88 00:04:51,279 --> 00:04:53,000 Speaker 1: out in that three minutes that will let you know 89 00:04:53,400 --> 00:04:56,520 Speaker 1: if this person is good to father your child. Well, 90 00:04:56,560 --> 00:05:00,960 Speaker 1: some scholars think that we are building our brain is 91 00:05:01,080 --> 00:05:06,440 Speaker 1: building a love maps, a love map of all of 92 00:05:06,440 --> 00:05:10,080 Speaker 1: these different qualities. And I think that I think it'd 93 00:05:10,080 --> 00:05:12,359 Speaker 1: be interesting to kind of tick off a lot of 94 00:05:12,360 --> 00:05:16,640 Speaker 1: these physical attributes that might seem superficial to pay attention to, 95 00:05:17,080 --> 00:05:21,400 Speaker 1: but actually are pretty good indicators of someone's reproductive health 96 00:05:21,960 --> 00:05:24,559 Speaker 1: and whether or not they'd be a good genetic match 97 00:05:24,600 --> 00:05:31,000 Speaker 1: to you. For instance, heterosexual lady might check out a 98 00:05:31,040 --> 00:05:36,200 Speaker 1: man's chin Don Draper's jawline, for instance, and be uh, 99 00:05:36,480 --> 00:05:40,640 Speaker 1: see it as a sign of attractiveness because testosterone levels 100 00:05:40,800 --> 00:05:45,159 Speaker 1: influence the jawlines and chin development, and same for women 101 00:05:45,200 --> 00:05:47,040 Speaker 1: with the eyes. The shape the smallest shape of a 102 00:05:47,080 --> 00:05:49,800 Speaker 1: woman's eyes is determined by estrogen in her body, so 103 00:05:50,120 --> 00:05:53,560 Speaker 1: that's a sign of reproductive fitness to the gent Facial 104 00:05:53,680 --> 00:05:57,000 Speaker 1: symmetry symmetry is huge, We've heard and this is probably 105 00:05:57,040 --> 00:06:01,240 Speaker 1: no new news. The more symmetrical. Uh, people are the 106 00:06:01,320 --> 00:06:04,359 Speaker 1: more attractive. They're generally judged because it's a it's a 107 00:06:04,400 --> 00:06:06,200 Speaker 1: sign that your jeans are good. It's a sign that 108 00:06:06,240 --> 00:06:09,600 Speaker 1: your jeans, you know, split just right to make you 109 00:06:10,279 --> 00:06:14,680 Speaker 1: not deformed. Basically, waste to hip ratio the all the 110 00:06:14,720 --> 00:06:18,200 Speaker 1: old hour glass for the ladies. And this has to 111 00:06:18,240 --> 00:06:21,839 Speaker 1: do with uh, fat deposits. Yeah, where your fat as 112 00:06:21,839 --> 00:06:24,440 Speaker 1: deposit on your body determines your waist to hip ratio. 113 00:06:24,760 --> 00:06:29,599 Speaker 1: And those fat deposits are also influenced by your sex hormones. 114 00:06:30,080 --> 00:06:33,000 Speaker 1: So women with a waist to hip ratio of o 115 00:06:33,240 --> 00:06:37,159 Speaker 1: point seven basically meaning that you got a little waist 116 00:06:37,279 --> 00:06:41,400 Speaker 1: and larger hips, it's more desirable to men, whereas the 117 00:06:41,440 --> 00:06:43,200 Speaker 1: waist hip ratio and men is going to be a 118 00:06:43,240 --> 00:06:48,159 Speaker 1: little bit bigger because typically curvaceous men is not the ideal. 119 00:06:48,160 --> 00:06:52,440 Speaker 1: It's more of the you know, the broad shoulder and uh, 120 00:06:52,680 --> 00:06:54,919 Speaker 1: what else how do you describing this broad I just 121 00:06:54,920 --> 00:06:59,320 Speaker 1: get stuck off his shoulders, which again is another testosterone trait, 122 00:06:59,480 --> 00:07:01,320 Speaker 1: so that that's why you're getting stuck on them, Christen, 123 00:07:01,440 --> 00:07:05,000 Speaker 1: it's evolution. Yeah, and they you know, they did um 124 00:07:05,040 --> 00:07:07,720 Speaker 1: studies that should like every Miss America you know, since 125 00:07:07,760 --> 00:07:09,920 Speaker 1: time began has had the point seven waste to hip ratio. 126 00:07:10,000 --> 00:07:13,080 Speaker 1: So these, even though you don't walk around going her 127 00:07:13,160 --> 00:07:16,800 Speaker 1: waste to hip ratio sucks. These are what they call 128 00:07:16,880 --> 00:07:19,560 Speaker 1: the universal ideals of beauty. They go into every culture 129 00:07:19,760 --> 00:07:23,120 Speaker 1: and show pictures of people to you know, test subjects, 130 00:07:23,160 --> 00:07:25,240 Speaker 1: and by and large, these are the things people find 131 00:07:25,280 --> 00:07:30,080 Speaker 1: attractive because scholars think it's linked to reproductive fitness, because 132 00:07:30,120 --> 00:07:32,520 Speaker 1: you know what good hips, big hips are for bigger hips, 133 00:07:33,000 --> 00:07:40,440 Speaker 1: birth and babies. So so that's why you know, you 134 00:07:40,480 --> 00:07:43,640 Speaker 1: don't want to walk around thinking that it's your hips 135 00:07:43,680 --> 00:07:46,680 Speaker 1: that although hips don't lie, so um, you don't want 136 00:07:46,680 --> 00:07:49,640 Speaker 1: to walk around thinking that these evolutionary ideas of good 137 00:07:49,640 --> 00:07:52,440 Speaker 1: baby making hips are what people are attracted to. But 138 00:07:53,240 --> 00:07:56,360 Speaker 1: your brain can't help but go there. Now, let's talk 139 00:07:56,360 --> 00:07:59,840 Speaker 1: about the idea of pheromones, because these are brought up 140 00:07:59,880 --> 00:08:03,280 Speaker 1: a lot in uh Frids. Me of the anchorman or 141 00:08:03,320 --> 00:08:06,400 Speaker 1: one of the characters, the Paula Red character has that 142 00:08:06,520 --> 00:08:12,480 Speaker 1: pheromone um panther cologne hilarious. But this this idea that 143 00:08:12,520 --> 00:08:19,080 Speaker 1: we can subconsciously smell a good partner. And while um, 144 00:08:19,280 --> 00:08:23,600 Speaker 1: humans don't really admit and detect actual pheromones in that sense. 145 00:08:23,920 --> 00:08:26,360 Speaker 1: Very controversial idea, whether we do or not, right, but 146 00:08:26,440 --> 00:08:28,280 Speaker 1: we can. There is a there is an idea that 147 00:08:28,320 --> 00:08:30,640 Speaker 1: we are sort of sniffing out jeans. And there's a 148 00:08:30,680 --> 00:08:33,400 Speaker 1: study of very famous study that we've mentioned probably more 149 00:08:33,440 --> 00:08:37,160 Speaker 1: than once on the podcast about sweaty undershirts. Yeah. Uh. 150 00:08:37,480 --> 00:08:39,920 Speaker 1: They did a kind of blindfold of tests where women 151 00:08:40,960 --> 00:08:47,040 Speaker 1: smelled men's sweaty undershirts and rated their attractiveness. And the 152 00:08:47,200 --> 00:08:51,240 Speaker 1: men who were the most genetically dissimilar to them, which 153 00:08:51,320 --> 00:08:52,760 Speaker 1: is a good thing. You don't want someone who has 154 00:08:52,760 --> 00:08:55,360 Speaker 1: the same genes as you because that would be your brother. Hence, 155 00:08:55,360 --> 00:09:00,640 Speaker 1: incest um, the ones with the most genetic diversity, we're 156 00:09:00,679 --> 00:09:03,200 Speaker 1: the most attractive. Yeah. So there's some thought that we 157 00:09:03,240 --> 00:09:05,720 Speaker 1: can sniff out signals from other people. And we talked 158 00:09:05,760 --> 00:09:09,040 Speaker 1: about this with the do gall pal sinc their menstrual cycles. 159 00:09:09,080 --> 00:09:12,040 Speaker 1: You know, there was some evidence or suggestion that you 160 00:09:12,080 --> 00:09:13,480 Speaker 1: can sniff out when it's a good time to have 161 00:09:13,559 --> 00:09:15,679 Speaker 1: a baby based on when your lady friends are having 162 00:09:15,720 --> 00:09:18,360 Speaker 1: their periods. And so they're saying that, you know it, 163 00:09:18,400 --> 00:09:20,319 Speaker 1: maybe not, maybe it's not love of first sight, it's 164 00:09:20,360 --> 00:09:22,839 Speaker 1: love it first sniff, right, just the idea that even 165 00:09:22,880 --> 00:09:27,080 Speaker 1: without seeing someone, even without all those visual visual clues, 166 00:09:27,679 --> 00:09:33,080 Speaker 1: are bodies are still equipped to signal which may or 167 00:09:33,120 --> 00:09:36,840 Speaker 1: may not be a good mate, force a reproductive mate. 168 00:09:36,880 --> 00:09:40,080 Speaker 1: It's all about this all goes back to very reproductive 169 00:09:40,160 --> 00:09:43,840 Speaker 1: oriented meeting. Because love is a fairly new concept, as 170 00:09:43,880 --> 00:09:46,480 Speaker 1: we've talked about before, right because you did have to mate, 171 00:09:46,480 --> 00:09:48,280 Speaker 1: you had to have a kid. You couldn't be you 172 00:09:48,320 --> 00:09:52,040 Speaker 1: couldn't be perfectly in love with this person. They couldn't 173 00:09:52,160 --> 00:09:54,680 Speaker 1: met they couldn't meet all the qualities on your laundry list. 174 00:09:55,240 --> 00:09:57,640 Speaker 1: But they're saying, you know, if we have built up 175 00:09:57,679 --> 00:09:59,920 Speaker 1: our love maps now in this modern age where being 176 00:10:00,000 --> 00:10:03,319 Speaker 1: include things like, you know, sense of humor and um, 177 00:10:03,360 --> 00:10:07,080 Speaker 1: what else could be on a laundry list? Well educated 178 00:10:07,120 --> 00:10:10,920 Speaker 1: Tennis puts the toilet seatback down. Yes, So while we 179 00:10:10,960 --> 00:10:13,199 Speaker 1: have these things on our love map, they're staying that 180 00:10:13,360 --> 00:10:17,680 Speaker 1: under those you know traits, we've got these evolutionary signals 181 00:10:17,720 --> 00:10:21,360 Speaker 1: there too. And in that first meeting, that three minute meeting, 182 00:10:21,640 --> 00:10:24,160 Speaker 1: your brain, without you knowing it, it's just running through 183 00:10:24,160 --> 00:10:26,640 Speaker 1: the love map, checking off which ones this guy seems 184 00:10:26,679 --> 00:10:28,520 Speaker 1: to meet, and you're using all sorts of clues, Like 185 00:10:28,559 --> 00:10:31,160 Speaker 1: you said, well educated, Kristen. Let's say you meet a 186 00:10:31,160 --> 00:10:34,520 Speaker 1: guy and he's wearing a stethoscope and scrubs. Right away, 187 00:10:34,679 --> 00:10:41,040 Speaker 1: your brain probably assumes method Zach Braff educated and and 188 00:10:41,080 --> 00:10:44,440 Speaker 1: you loved Garden States, so your brain remembers that. And 189 00:10:44,600 --> 00:10:49,080 Speaker 1: uh you like the shin so that's cool, um nineties jokes. 190 00:10:49,840 --> 00:10:53,120 Speaker 1: Uh so, yeah, your brain is doing all this really fast. 191 00:10:53,160 --> 00:10:55,720 Speaker 1: If you dated a doctor before and it didn't go well, 192 00:10:56,000 --> 00:10:58,920 Speaker 1: when you see another doctor, when you go from Zach 193 00:10:58,960 --> 00:11:01,320 Speaker 1: Braff to George Cline and as e er days, your 194 00:11:01,360 --> 00:11:04,200 Speaker 1: brain is like, whoa, that last doctor didn't work for 195 00:11:04,240 --> 00:11:06,200 Speaker 1: us too well. But then my brain will go, well, 196 00:11:06,240 --> 00:11:11,480 Speaker 1: it was Zach Braf, So give Clooney a chance. But Zacra, 197 00:11:11,679 --> 00:11:14,839 Speaker 1: Let's talk about something though called assortative mating. Because we 198 00:11:14,920 --> 00:11:21,559 Speaker 1: talked a lot about dissimilarities genetics wise, but scholars also 199 00:11:21,600 --> 00:11:25,520 Speaker 1: think that we tend to gravitate towards people who are 200 00:11:25,559 --> 00:11:29,480 Speaker 1: in a lot of ways just like us. Yes, and 201 00:11:29,520 --> 00:11:33,800 Speaker 1: this is something referred to as a sortative mating, right, 202 00:11:33,880 --> 00:11:37,840 Speaker 1: and so in that you know, first, hi, how are you? Yes, 203 00:11:37,880 --> 00:11:40,040 Speaker 1: you're even just sessing out their voice. Your brains going 204 00:11:40,040 --> 00:11:42,440 Speaker 1: through things on their voice. But let's say they start 205 00:11:42,480 --> 00:11:46,920 Speaker 1: talking about, um, Shakespeare and oh my gosh, you've happened 206 00:11:46,920 --> 00:11:51,240 Speaker 1: to love Shakespeare, me too, and yeah, and you guys 207 00:11:51,280 --> 00:11:56,040 Speaker 1: both like pizza I love Do you like pepperoni as well? Pepperoni? Yeah, 208 00:11:56,080 --> 00:11:59,959 Speaker 1: I love movies too. So these facts that you have things, 209 00:12:00,040 --> 00:12:02,240 Speaker 1: these these small things that are in common. You know, 210 00:12:02,280 --> 00:12:05,520 Speaker 1: anyone in a relationship knows that those small things sometimes 211 00:12:05,640 --> 00:12:09,000 Speaker 1: really make a huge difference because you start having pizza 212 00:12:09,000 --> 00:12:12,080 Speaker 1: and Shakespeare. One slice of pizza could lead to the 213 00:12:12,120 --> 00:12:16,079 Speaker 1: whole pie. That is a card waiting to happen. I'm 214 00:12:16,080 --> 00:12:21,240 Speaker 1: gonna sell um. So yeah, just these really small stupid 215 00:12:21,240 --> 00:12:24,600 Speaker 1: things that you sense, uh, you know, someone like you 216 00:12:25,440 --> 00:12:27,599 Speaker 1: and that is attractive to us. And you know what 217 00:12:27,720 --> 00:12:32,800 Speaker 1: also helps what ovulation. If you're you know, if you're 218 00:12:32,880 --> 00:12:36,640 Speaker 1: Filipian tubes or are shooting a shoe little egg down there, 219 00:12:37,160 --> 00:12:42,120 Speaker 1: your chances of seeing a dude will strike your fancy 220 00:12:42,360 --> 00:12:44,920 Speaker 1: way higher again because it beat draw on to you 221 00:12:45,000 --> 00:12:47,920 Speaker 1: because of the need to mate, even if you don't 222 00:12:47,920 --> 00:12:49,960 Speaker 1: necessarily want to kid at that that moment. We talked 223 00:12:49,960 --> 00:12:53,960 Speaker 1: about that on the uh, you know, subliminal signs of 224 00:12:54,160 --> 00:12:56,360 Speaker 1: ovulation and the ways women and men are attracted to 225 00:12:56,400 --> 00:12:59,760 Speaker 1: each other during that time of the month. Um, but yeah, 226 00:12:59,800 --> 00:13:01,720 Speaker 1: it's kind of weird that all these factors have to 227 00:13:01,800 --> 00:13:04,880 Speaker 1: be in line, which is why, you know, maybe love 228 00:13:04,880 --> 00:13:07,960 Speaker 1: at first sight seems so rare because how often is 229 00:13:07,960 --> 00:13:11,240 Speaker 1: it that you see a perfect genetic specimen who's not 230 00:13:11,320 --> 00:13:15,240 Speaker 1: too similar, who is meeting all your love map qualifications 231 00:13:15,800 --> 00:13:20,000 Speaker 1: while you're ovulating, and that's really hard to do well, 232 00:13:20,400 --> 00:13:24,080 Speaker 1: and and they have to look back at you. Yes, 233 00:13:24,480 --> 00:13:27,160 Speaker 1: this was one of the most interesting concepts with his 234 00:13:27,240 --> 00:13:29,280 Speaker 1: whole love of first sight thing is that we think 235 00:13:29,320 --> 00:13:31,360 Speaker 1: a lot about we'd like to frame it as this 236 00:13:31,480 --> 00:13:35,600 Speaker 1: quest for the other, whereas when it really comes down 237 00:13:35,640 --> 00:13:37,760 Speaker 1: to it, it's kind of a quest for It's a 238 00:13:37,840 --> 00:13:42,679 Speaker 1: more narcissistic quest for validation of yourself because you know, 239 00:13:43,760 --> 00:13:47,400 Speaker 1: to take your story, Kristen, both of you saw each other, right, 240 00:13:47,679 --> 00:13:50,360 Speaker 1: he saw you, you saw him, and we but we 241 00:13:50,360 --> 00:13:52,960 Speaker 1: weren't looking back at each other either time. Okay, Well, see, 242 00:13:52,960 --> 00:13:55,560 Speaker 1: now let's say you've had locked eyes. The chances that 243 00:13:55,600 --> 00:13:58,400 Speaker 1: you would have talked that night probably go up like 244 00:13:58,760 --> 00:14:01,320 Speaker 1: a thousand percent. Certainly, you know, if he had looked 245 00:14:01,320 --> 00:14:05,120 Speaker 1: and see me, I was looking at him, become cross 246 00:14:05,240 --> 00:14:08,240 Speaker 1: through that sees people he might have because that's what 247 00:14:08,280 --> 00:14:11,679 Speaker 1: one researcher said was that what we are most attracted 248 00:14:11,720 --> 00:14:14,880 Speaker 1: to is someone who was attracted to us. And so 249 00:14:15,000 --> 00:14:17,439 Speaker 1: if you know, if that fellow had seen you looking back, 250 00:14:17,600 --> 00:14:20,120 Speaker 1: he would have had that sort of you know, nudge 251 00:14:20,120 --> 00:14:24,040 Speaker 1: of um, you know, a self esteem boost like yeah 252 00:14:24,080 --> 00:14:26,480 Speaker 1: she does like me, she check, maybe she's interested, Maybe 253 00:14:26,480 --> 00:14:29,040 Speaker 1: I've got a shot. Body language starts playing a factor 254 00:14:29,080 --> 00:14:30,760 Speaker 1: you could have been, you know, sending the eyes to 255 00:14:30,840 --> 00:14:33,680 Speaker 1: each other, the crazy love eyes, and it might just 256 00:14:33,720 --> 00:14:36,400 Speaker 1: look like crazy eyes when I said them, well yeah 257 00:14:36,440 --> 00:14:39,600 Speaker 1: that's a common problem. Um, but yeah, they're saying that, 258 00:14:39,680 --> 00:14:41,600 Speaker 1: you know, that most important factor is someone who's going 259 00:14:41,640 --> 00:14:45,200 Speaker 1: to look back at you and um, you know, reaffirm 260 00:14:45,320 --> 00:14:48,120 Speaker 1: all the things you find attractive about yourself. So if 261 00:14:48,160 --> 00:14:50,440 Speaker 1: you do find someone attractive, they say, that's when you 262 00:14:50,440 --> 00:14:53,560 Speaker 1: got to start playing that old body language game like hey, 263 00:14:53,600 --> 00:14:57,960 Speaker 1: come over here. And there's also, um, this idea of 264 00:14:58,000 --> 00:15:01,680 Speaker 1: an attractiveness halo too. If you see someone you know, 265 00:15:01,720 --> 00:15:04,200 Speaker 1: if Molly, I'm sure if you if you ran too 266 00:15:04,320 --> 00:15:07,360 Speaker 1: John Ham and he was like, Molly, I love your podcast, 267 00:15:08,000 --> 00:15:12,720 Speaker 1: you would be sold because we will also if we 268 00:15:12,760 --> 00:15:16,400 Speaker 1: find someone physically attractive without knowing much about them at all, 269 00:15:16,800 --> 00:15:20,520 Speaker 1: we will fill in the blanks of their characteristics and 270 00:15:20,560 --> 00:15:24,280 Speaker 1: just kind of assume that they are gonna match us 271 00:15:24,280 --> 00:15:26,800 Speaker 1: personality wise. Yeah, and so that I think that's where 272 00:15:26,800 --> 00:15:29,640 Speaker 1: you get start get into the situation of is that 273 00:15:29,760 --> 00:15:33,600 Speaker 1: love or is it something else? Because we think that 274 00:15:33,720 --> 00:15:36,960 Speaker 1: love can be based on knowing someone completely and everything 275 00:15:37,000 --> 00:15:40,440 Speaker 1: minus that halo. But you know what, here's another hallmark 276 00:15:40,440 --> 00:15:42,560 Speaker 1: card for you. You can't put a time limit on love. 277 00:15:42,600 --> 00:15:44,120 Speaker 1: You can't put a time on it on love or 278 00:15:44,760 --> 00:15:47,680 Speaker 1: you know, we also have to remember the social constructs 279 00:15:47,760 --> 00:15:50,640 Speaker 1: of you know, love and relationships and dating and what 280 00:15:50,680 --> 00:15:52,840 Speaker 1: we're told is and isn't this or that? Yeah, I 281 00:15:52,880 --> 00:15:54,400 Speaker 1: mean we're told we have to date someone for you know, 282 00:15:54,400 --> 00:15:55,960 Speaker 1: a set number of dates before we could say I 283 00:15:56,000 --> 00:15:58,760 Speaker 1: love you. You know, if your brain knows, your brain knows, 284 00:15:58,800 --> 00:16:00,880 Speaker 1: And a lot of neuroscience has been done on this 285 00:16:01,000 --> 00:16:03,880 Speaker 1: to say that, uh, you know. Helen Fisher gave this 286 00:16:03,960 --> 00:16:06,720 Speaker 1: three minutes. One nerve scientists gave a point two seconds 287 00:16:06,840 --> 00:16:09,280 Speaker 1: what she said, that's how long it takes for those 288 00:16:09,400 --> 00:16:12,080 Speaker 1: love hormones to flood your brain when you see someone 289 00:16:12,160 --> 00:16:14,360 Speaker 1: that's barely a glance, how could you even know what 290 00:16:14,400 --> 00:16:16,640 Speaker 1: they look like for point two seconds? You know that 291 00:16:16,680 --> 00:16:19,240 Speaker 1: brain works fast. I went through your love map like that. 292 00:16:20,160 --> 00:16:22,880 Speaker 1: You saw a good match, and your brain is already 293 00:16:22,880 --> 00:16:27,600 Speaker 1: feeling all the chemical rush of hormones and it is 294 00:16:27,640 --> 00:16:30,200 Speaker 1: being rewired for love. So you know, we have to 295 00:16:30,280 --> 00:16:32,960 Speaker 1: kind of let go. I think of uh that that 296 00:16:33,120 --> 00:16:36,440 Speaker 1: uh certain date rule before you can feel love. Sometimes 297 00:16:36,520 --> 00:16:39,000 Speaker 1: it seems if the science holds up, you can feel love. 298 00:16:39,400 --> 00:16:43,280 Speaker 1: And it's such as a as a statistics and neuroscience 299 00:16:43,400 --> 00:16:47,440 Speaker 1: nut as I can be needing, needing facts to be provable. 300 00:16:47,640 --> 00:16:52,440 Speaker 1: I will say the fact that the moment, the split second, 301 00:16:52,440 --> 00:16:54,080 Speaker 1: I don't know how many seconds it was of just 302 00:16:54,160 --> 00:16:58,720 Speaker 1: seeing that person is such a clear memory in my 303 00:16:59,280 --> 00:17:01,920 Speaker 1: in my brain, so clear. I mean I remember everything 304 00:17:01,960 --> 00:17:04,520 Speaker 1: about it, exactly where it was, um and what he 305 00:17:04,600 --> 00:17:08,840 Speaker 1: was wearing, all of it. That something happened, you know, 306 00:17:09,040 --> 00:17:10,800 Speaker 1: it makes me. It makes me I don't know that 307 00:17:10,840 --> 00:17:13,160 Speaker 1: I believe a hunter percent, but well, and the fact 308 00:17:13,160 --> 00:17:15,560 Speaker 1: that it did turn into a relationship. I think, um 309 00:17:15,760 --> 00:17:19,160 Speaker 1: that love at first sight can be a backward looking phenomenon. 310 00:17:19,280 --> 00:17:21,280 Speaker 1: I mean, if nothing had happened, you would have been like, oh, 311 00:17:21,320 --> 00:17:22,879 Speaker 1: that was a cool moment but then but I wouldn't 312 00:17:22,880 --> 00:17:24,480 Speaker 1: have remembered it. Yeah, but the fact that you actually 313 00:17:24,520 --> 00:17:26,720 Speaker 1: got together afterward it made a nice part to your 314 00:17:26,720 --> 00:17:29,400 Speaker 1: love story, like, oh, you know, here's how I met 315 00:17:29,440 --> 00:17:31,119 Speaker 1: And by the way, we both knew as soon as 316 00:17:31,160 --> 00:17:34,280 Speaker 1: we saw each other something was going on. And whereas 317 00:17:34,400 --> 00:17:37,200 Speaker 1: you know, if let's say a relationship and it really badly, 318 00:17:37,880 --> 00:17:40,119 Speaker 1: people who might be telling that story later would probably 319 00:17:40,119 --> 00:17:42,000 Speaker 1: forget that part about the lot of first sight. So 320 00:17:42,000 --> 00:17:44,280 Speaker 1: it's something that kind of can stand there while you 321 00:17:44,320 --> 00:17:47,280 Speaker 1: are in a relationship with that person. I think. So 322 00:17:47,359 --> 00:17:49,600 Speaker 1: we want to know what you all think out there, 323 00:17:50,320 --> 00:17:53,120 Speaker 1: is love at first sight possible? Has it happened to you? 324 00:17:53,520 --> 00:17:57,080 Speaker 1: Send your gushy stories our way mom stuff at house 325 00:17:57,080 --> 00:18:00,200 Speaker 1: steff works dot com, And in the meantime it's an 326 00:18:00,200 --> 00:18:07,120 Speaker 1: email or two. I have one here signed Minneapolis Mom 327 00:18:07,160 --> 00:18:10,080 Speaker 1: and it was about our podcast on Duelas and Midwives, 328 00:18:10,720 --> 00:18:12,719 Speaker 1: and she writes, I was thrilled to listen to your 329 00:18:12,760 --> 00:18:14,960 Speaker 1: podcast about this because I always hope the women will 330 00:18:15,000 --> 00:18:17,800 Speaker 1: go into the birthing process being as informed as possible. 331 00:18:18,359 --> 00:18:20,480 Speaker 1: And my first daughter in a hospital with a certified 332 00:18:20,560 --> 00:18:23,760 Speaker 1: nurse wife nurse midwife to dulas, one was in training, 333 00:18:23,760 --> 00:18:26,200 Speaker 1: and my husband. Although I had a wonderful and supportive 334 00:18:26,280 --> 00:18:30,000 Speaker 1: certified nurse midwife at the birth, the hospital rotates obi's 335 00:18:30,040 --> 00:18:31,920 Speaker 1: and CNMs, so you never know we will be on 336 00:18:32,000 --> 00:18:34,680 Speaker 1: duty when you deliver. Having a DULA present meant that 337 00:18:34,720 --> 00:18:37,240 Speaker 1: I could rely on a consistent nurturing person to support me. 338 00:18:37,600 --> 00:18:40,359 Speaker 1: My duelas dripped my back, kept me hydrated, help me breathe, 339 00:18:40,359 --> 00:18:42,679 Speaker 1: and most of all, had unwavering faith in me. I 340 00:18:42,720 --> 00:18:44,359 Speaker 1: was able to birth a nine and a half pound 341 00:18:44,359 --> 00:18:47,840 Speaker 1: baby with no drugs or medical interventions. My second daughter 342 00:18:47,920 --> 00:18:49,639 Speaker 1: was a planned home birth. I had her in a 343 00:18:49,640 --> 00:18:52,560 Speaker 1: birthing tab and was supported by two midwives, one in training, 344 00:18:52,880 --> 00:18:55,920 Speaker 1: a duelah, and my husband. It was truly the most beautiful, peaceful, 345 00:18:55,920 --> 00:18:58,240 Speaker 1: and fulfilling moments in my life. I felt like my 346 00:18:58,359 --> 00:19:00,399 Speaker 1: daughter was brought into the world surrounded by jen, tollness 347 00:19:00,440 --> 00:19:03,240 Speaker 1: and love. I realized that home bursts are not for everyone, 348 00:19:03,240 --> 00:19:05,520 Speaker 1: but as I mentioned above, it's always my hope that 349 00:19:05,520 --> 00:19:08,200 Speaker 1: I will take the time to truly inform themselves about 350 00:19:08,240 --> 00:19:11,200 Speaker 1: the different options. Well, I've got an email here from 351 00:19:11,280 --> 00:19:15,639 Speaker 1: Natasha about our beer podcast, and Natasha, You're welcome because 352 00:19:15,640 --> 00:19:17,760 Speaker 1: in parentheses you wrote, I'd love it if you read 353 00:19:17,800 --> 00:19:23,360 Speaker 1: this on the show. Dreams do Come true. All lonesome um, 354 00:19:23,400 --> 00:19:26,159 Speaker 1: she says. For the longest time, I drank a certain 355 00:19:26,240 --> 00:19:28,959 Speaker 1: brand of beer because it tasted good. Then I started 356 00:19:28,960 --> 00:19:33,159 Speaker 1: seeing these horrible commercials with tightly clothed, big busty women 357 00:19:33,160 --> 00:19:35,240 Speaker 1: in it that behave like they didn't have a brain 358 00:19:35,320 --> 00:19:37,479 Speaker 1: cell in their heads, and it just irked me so 359 00:19:37,560 --> 00:19:40,880 Speaker 1: much I quit drinking it. Then I discovered sam Adams, 360 00:19:40,880 --> 00:19:43,719 Speaker 1: which has commercials about the factory, what products they use, 361 00:19:43,800 --> 00:19:46,480 Speaker 1: and who makes the beer. That shows me that they 362 00:19:46,520 --> 00:19:48,600 Speaker 1: have so much pride in their beer that they don't 363 00:19:48,640 --> 00:19:51,560 Speaker 1: need to do marketing that the others do. Plus it 364 00:19:51,680 --> 00:19:54,440 Speaker 1: tastes so good, and ever since then, I've been a 365 00:19:54,520 --> 00:19:57,520 Speaker 1: sam Adams girl. Also, I haven't had anyone comment or 366 00:19:57,560 --> 00:20:00,359 Speaker 1: tell me that I'm unladylike for drinking beer us believe 367 00:20:00,400 --> 00:20:03,120 Speaker 1: it or not. My six ft tall, two pound work 368 00:20:03,200 --> 00:20:05,560 Speaker 1: out for an hour every day. Ex Marine older brother 369 00:20:05,920 --> 00:20:10,000 Speaker 1: drinks get this wine coolers and I dare someone to 370 00:20:10,040 --> 00:20:12,919 Speaker 1: call him girly. So if you've got an email us 371 00:20:12,920 --> 00:20:15,960 Speaker 1: in our way the addresses mom stuff at how stuffworks 372 00:20:15,960 --> 00:20:18,480 Speaker 1: dot com. You can also hit us up on Facebook 373 00:20:19,240 --> 00:20:22,320 Speaker 1: and on Twitter. You can follow us there at mom 374 00:20:22,440 --> 00:20:25,440 Speaker 1: Stuff podcast. And finally, you can read our blog during 375 00:20:25,480 --> 00:20:28,920 Speaker 1: the week, It's stuff Mom Never told You from how 376 00:20:29,040 --> 00:20:35,560 Speaker 1: stuff Works dot com. For more on this and thousands 377 00:20:35,600 --> 00:20:37,840 Speaker 1: of other topics, is it how stuff works dot com. 378 00:20:38,119 --> 00:20:40,720 Speaker 1: To learn more about the podcast, clock on the podcast 379 00:20:40,920 --> 00:20:43,080 Speaker 1: icon in the upper right corner of our home page. 380 00:20:43,800 --> 00:20:46,400 Speaker 1: The how stuff Works I Fine app has arrived. Download 381 00:20:46,440 --> 00:20:54,000 Speaker 1: it today on iTunes, brought to you by the reinvented 382 00:20:54,040 --> 00:20:56,760 Speaker 1: two thousand twelve Camray. It's ready, are you