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 --> 00:00:17,599 Speaker 1: From house Stop works dot Com. Hello, and welcome to 4 00:00:17,600 --> 00:00:21,360 Speaker 1: the podcast. I'm Kristen and I'm Molly Molly. Before we 5 00:00:21,760 --> 00:00:27,680 Speaker 1: got into the recording booth today, you said something interesting, 6 00:00:28,040 --> 00:00:32,360 Speaker 1: just one thing, just one, only one, an interesting observation 7 00:00:32,400 --> 00:00:36,960 Speaker 1: about yourself. You said that you think that the podcast, 8 00:00:37,200 --> 00:00:40,800 Speaker 1: doing this podcast has made you a more honest person. 9 00:00:41,440 --> 00:00:44,000 Speaker 1: I think so. I think that, um, you know, we've 10 00:00:44,040 --> 00:00:48,600 Speaker 1: talked about a lot of crazy, somewhat taboo things, Kristen. 11 00:00:48,720 --> 00:00:52,440 Speaker 1: I think that when you um talk um and get 12 00:00:52,440 --> 00:00:57,480 Speaker 1: paid for talking about uh poop menstruation, when you save 13 00:00:57,520 --> 00:01:02,200 Speaker 1: a lot, you just stopped caring. And I think that 14 00:01:02,240 --> 00:01:05,559 Speaker 1: your filter goes away. And I think that that probably 15 00:01:05,560 --> 00:01:07,920 Speaker 1: has made more honest in my in my real life 16 00:01:07,959 --> 00:01:09,560 Speaker 1: and also in the podcast booth and your day to 17 00:01:09,600 --> 00:01:11,840 Speaker 1: day interactions. I think so. Either that or I'm just 18 00:01:11,880 --> 00:01:13,520 Speaker 1: really good at lying up to myself and I don't 19 00:01:13,560 --> 00:01:15,320 Speaker 1: realize that I'm lying to other people. See you consider 20 00:01:15,360 --> 00:01:17,399 Speaker 1: yourself a pretty truthful person, You don't, I think so. 21 00:01:17,440 --> 00:01:19,880 Speaker 1: And like I said, I think that um talking about 22 00:01:19,880 --> 00:01:23,280 Speaker 1: so many kind of you know, crazy off the wall 23 00:01:23,319 --> 00:01:26,720 Speaker 1: topics has made me just more honest about it. What 24 00:01:26,760 --> 00:01:30,000 Speaker 1: about you, Kristen? Does that make sense? That makes absolute sense? 25 00:01:30,440 --> 00:01:31,960 Speaker 1: And I think that you hit the nail on the 26 00:01:31,959 --> 00:01:34,280 Speaker 1: head when you're talking about the difference between lying to 27 00:01:34,319 --> 00:01:37,480 Speaker 1: other people and lying to yourself, because what we will 28 00:01:37,600 --> 00:01:42,440 Speaker 1: learn is that when it comes to lying, people tend 29 00:01:42,520 --> 00:01:45,640 Speaker 1: to lie to themselves about how much they lie. Write 30 00:01:45,720 --> 00:01:49,400 Speaker 1: something that distinguishes humans from animals, because you know what, Molly, 31 00:01:49,560 --> 00:01:51,640 Speaker 1: we are just humans are just a pack of liars. 32 00:01:52,120 --> 00:01:55,320 Speaker 1: We are engaged in my guests. The topic of todays 33 00:01:55,320 --> 00:01:59,120 Speaker 1: show is lying, and in reading all this research getay 34 00:01:59,160 --> 00:02:02,240 Speaker 1: for the episode. It just follows the mind how many 35 00:02:02,320 --> 00:02:04,880 Speaker 1: lies are told in the course of one day, so 36 00:02:05,200 --> 00:02:09,360 Speaker 1: many lies as we go throughout our day to day interactions. 37 00:02:09,800 --> 00:02:13,320 Speaker 1: And we wanted to focus on, as we typically do 38 00:02:13,400 --> 00:02:16,560 Speaker 1: with mom stuff, whether or not men or women lie 39 00:02:16,639 --> 00:02:20,800 Speaker 1: more because when we initially started researching, there were stories 40 00:02:20,840 --> 00:02:23,880 Speaker 1: that would pop up saying new poll finds that men 41 00:02:23,919 --> 00:02:26,200 Speaker 1: lie more than women, and then of course you'd have 42 00:02:27,160 --> 00:02:29,360 Speaker 1: some study saying that women lie more than men. But 43 00:02:29,520 --> 00:02:32,080 Speaker 1: what's really the truth? That's what we're gonna get to yes, 44 00:02:32,120 --> 00:02:34,480 Speaker 1: the truth, the truth. Yes, let's get down to the truth. 45 00:02:34,880 --> 00:02:36,560 Speaker 1: But why would you lie in the first place? Why 46 00:02:36,639 --> 00:02:41,080 Speaker 1: are there so many lies being told? And the research 47 00:02:41,120 --> 00:02:43,920 Speaker 1: shows that most lies are are pretty good. You wouldn't 48 00:02:43,919 --> 00:02:46,079 Speaker 1: want to take them away from society because they're the 49 00:02:46,080 --> 00:02:49,640 Speaker 1: the grease that keeps society's wheels turning. Yeah, there's a 50 00:02:49,800 --> 00:02:55,680 Speaker 1: social function to lying. For instance, when you see someone 51 00:02:55,919 --> 00:03:00,240 Speaker 1: see see a galpal with a new haircut and it 52 00:03:00,280 --> 00:03:03,280 Speaker 1: looks awful. It's like a bad rachel from friends, and 53 00:03:03,360 --> 00:03:06,480 Speaker 1: yet it's two thousand eleven and she's somehow chosen to 54 00:03:06,560 --> 00:03:09,440 Speaker 1: get a rachel and it's so dramatic. You have to 55 00:03:09,480 --> 00:03:12,160 Speaker 1: say something, and you're not going to say, dear God, 56 00:03:12,400 --> 00:03:15,440 Speaker 1: why did you do that to your hair? You say, hey, 57 00:03:15,680 --> 00:03:18,880 Speaker 1: my god, I love your new haircut. She says, really, 58 00:03:18,960 --> 00:03:21,079 Speaker 1: I don't know about it. Your like, no, really, it's good, 59 00:03:21,120 --> 00:03:23,480 Speaker 1: it's good. Yeah. Or if you're invited out to dinner, 60 00:03:23,600 --> 00:03:26,559 Speaker 1: if if a pal cooks your dinner and it's overdone 61 00:03:26,680 --> 00:03:29,320 Speaker 1: or something like that, you're not going to say three 62 00:03:29,320 --> 00:03:31,000 Speaker 1: stars out of five. It can be like, thank you 63 00:03:31,080 --> 00:03:33,799 Speaker 1: so much, I love this. Highlight him. I me Gutty 64 00:03:33,880 --> 00:03:38,120 Speaker 1: Crocker in here. So those those are when people talk 65 00:03:38,160 --> 00:03:40,000 Speaker 1: about how many lives are happening, it seems like these 66 00:03:40,000 --> 00:03:42,960 Speaker 1: are the majority of the lives. Yeah, we're not. Yeah, 67 00:03:43,000 --> 00:03:48,880 Speaker 1: it's not like everyone's just walking around intentionally spinning tall tales. Right. 68 00:03:48,880 --> 00:03:52,600 Speaker 1: In fact, most people, when they're confronted by videotapes of 69 00:03:52,640 --> 00:03:55,600 Speaker 1: themselves in conversation with another person, are surprised by how 70 00:03:55,600 --> 00:03:57,920 Speaker 1: often they catch themselves lying. You know. It seems to 71 00:03:57,920 --> 00:04:00,800 Speaker 1: be eat just a reflex that we have, and it's 72 00:04:00,840 --> 00:04:03,400 Speaker 1: not something that we're deliberately planning. We're not going around 73 00:04:03,840 --> 00:04:07,280 Speaker 1: engineering plots to tell people that the sky is green 74 00:04:07,880 --> 00:04:11,400 Speaker 1: and that we saw like six elephants yesterday. That's not 75 00:04:11,440 --> 00:04:14,080 Speaker 1: really the typeline. That seems to be the majority of 76 00:04:14,440 --> 00:04:17,719 Speaker 1: the lives being told. Just little embellishments here. They're just 77 00:04:17,839 --> 00:04:23,040 Speaker 1: to gloss up the mundane for us, especially to protect 78 00:04:23,080 --> 00:04:26,800 Speaker 1: our own self image to ourselfs uh. You know, some 79 00:04:26,880 --> 00:04:29,279 Speaker 1: researchers have found that when our self esteem is threatened 80 00:04:29,320 --> 00:04:31,919 Speaker 1: in any way, that's when the little falsehoods start to 81 00:04:31,960 --> 00:04:34,760 Speaker 1: come into being. You know, someone will say, oh, you know, 82 00:04:34,880 --> 00:04:37,200 Speaker 1: I got an A on the test, and you will 83 00:04:37,200 --> 00:04:39,080 Speaker 1: say something like, oh, I got a pretty good grade too, 84 00:04:39,120 --> 00:04:41,479 Speaker 1: and it may not be a good grade, but you know, 85 00:04:41,560 --> 00:04:43,440 Speaker 1: you need to believe that you've got the good grade. 86 00:04:43,440 --> 00:04:45,279 Speaker 1: But one interesting fact what I did find in this 87 00:04:45,360 --> 00:04:48,599 Speaker 1: research is that UM students who lied about their grade 88 00:04:48,600 --> 00:04:51,960 Speaker 1: point average later went on to have higher grade point averages. 89 00:04:52,440 --> 00:04:55,880 Speaker 1: And in some ways lives can be self fulfilling, especially 90 00:04:55,920 --> 00:04:58,120 Speaker 1: when they're tied to your level of self esteem, when 91 00:04:58,160 --> 00:05:00,479 Speaker 1: you want them to come true. That sounds like the 92 00:05:00,520 --> 00:05:03,400 Speaker 1: secret remember that book. I did not read that book. 93 00:05:03,720 --> 00:05:07,960 Speaker 1: Basically lying to yourself into you know, willing things into existence. 94 00:05:08,200 --> 00:05:11,040 Speaker 1: But basically lives are all about image. Yes, you want 95 00:05:11,279 --> 00:05:13,880 Speaker 1: to protect your own image, and sometimes you want to 96 00:05:13,920 --> 00:05:15,960 Speaker 1: protect others image because you're never going to tell a 97 00:05:15,960 --> 00:05:18,200 Speaker 1: lie about yourself that would make that would be less 98 00:05:18,240 --> 00:05:20,960 Speaker 1: flattering than the truth. I can't think of when you'd 99 00:05:20,960 --> 00:05:23,960 Speaker 1: tell like that. Yeah, and but let's want pity, let's 100 00:05:24,160 --> 00:05:28,800 Speaker 1: true true? And just how much are people lying? The 101 00:05:28,839 --> 00:05:32,279 Speaker 1: answer is a lot. There was a study published in 102 00:05:32,279 --> 00:05:37,799 Speaker 1: the Journal of Basic and Applied Psychology that involved strangers 103 00:05:37,839 --> 00:05:41,920 Speaker 1: sitting down having conversations and the researchers videotaped the conversations 104 00:05:42,200 --> 00:05:44,840 Speaker 1: and afterwards had the people go back and watch it 105 00:05:45,240 --> 00:05:47,599 Speaker 1: and predict how many lives that they told before they 106 00:05:47,600 --> 00:05:50,520 Speaker 1: watched the video, and then actually see what they said 107 00:05:51,080 --> 00:05:55,520 Speaker 1: and see how the reality matched up to what they 108 00:05:55,720 --> 00:05:58,320 Speaker 1: how much, how much how truthfully thought that they were 109 00:05:58,760 --> 00:06:03,880 Speaker 1: and get this smolly. In only ten minutes ten minutes 110 00:06:03,880 --> 00:06:08,480 Speaker 1: of conversation, an average of two point nine two lies 111 00:06:08,560 --> 00:06:10,719 Speaker 1: were told. But you know how they got people to 112 00:06:10,920 --> 00:06:14,960 Speaker 1: identify these lies was to call them inaccurate things. It's 113 00:06:14,960 --> 00:06:17,200 Speaker 1: not like people thought they were lying necessarily. It's more 114 00:06:17,200 --> 00:06:19,640 Speaker 1: like fudging the truth. But yes, in a ten minute 115 00:06:19,680 --> 00:06:22,920 Speaker 1: conversation average with two point nine too inaccurate things. How 116 00:06:23,040 --> 00:06:25,800 Speaker 1: long do you think we've been talking now, Kristen, Probably 117 00:06:25,800 --> 00:06:31,320 Speaker 1: way too long. I mean, but we learned to lie 118 00:06:31,440 --> 00:06:35,600 Speaker 1: from a very young age. There was an article online 119 00:06:35,760 --> 00:06:40,080 Speaker 1: in Live Science that said that by the age of three, 120 00:06:40,560 --> 00:06:45,360 Speaker 1: babies figure out how to fudge in We'll think about 121 00:06:45,480 --> 00:06:49,159 Speaker 1: Christmas or another holiday when you get socks and you 122 00:06:49,200 --> 00:06:51,599 Speaker 1: have to say, oh, man, I love these socks. They're 123 00:06:51,640 --> 00:06:54,440 Speaker 1: exactly what I wanted. I mean, you learn your parents 124 00:06:54,440 --> 00:06:57,600 Speaker 1: teach you had a lot. Now, one other factoid that 125 00:06:57,720 --> 00:07:01,120 Speaker 1: really surprised me, Kristen and makes a little suspicious about 126 00:07:01,120 --> 00:07:04,400 Speaker 1: our relationship. People are more willing to lie to their 127 00:07:04,440 --> 00:07:09,840 Speaker 1: coworkers than to strangers. I mean, granted, you see them more. 128 00:07:10,680 --> 00:07:12,360 Speaker 1: So you don't want to be on a bad foot 129 00:07:12,400 --> 00:07:14,960 Speaker 1: with your coworkers. You know if you if you tell 130 00:07:14,960 --> 00:07:17,080 Speaker 1: a stranger you hate their haircut, then you might not 131 00:07:17,160 --> 00:07:19,679 Speaker 1: have to see them again. And maybe that self esteem 132 00:07:19,760 --> 00:07:21,840 Speaker 1: factor that you were talking about earlier comes into play 133 00:07:21,840 --> 00:07:24,720 Speaker 1: a little bit more in a work environment. But you know, 134 00:07:24,800 --> 00:07:27,280 Speaker 1: one researcher did point out that lying must be sort 135 00:07:27,320 --> 00:07:29,480 Speaker 1: of a very short term thing in our brains, because 136 00:07:29,480 --> 00:07:32,000 Speaker 1: the long term effect of being caught in your lie 137 00:07:32,440 --> 00:07:34,360 Speaker 1: is could be more damaging if it is someone you 138 00:07:34,400 --> 00:07:36,280 Speaker 1: see all the time. Right, No one wants to be 139 00:07:36,360 --> 00:07:40,880 Speaker 1: labeled as a liar, though, even though everyone's walking around 140 00:07:41,160 --> 00:07:44,200 Speaker 1: telling lies or inaccurate things. And that's the thing we 141 00:07:44,200 --> 00:07:47,880 Speaker 1: we convinced ourselves, they're just you know, they're a little inaccurates, 142 00:07:47,880 --> 00:07:50,520 Speaker 1: not a lie. The lie seems to be malicious. But 143 00:07:50,680 --> 00:07:54,080 Speaker 1: not only are we coworkers and therefore more prone to 144 00:07:54,120 --> 00:07:57,480 Speaker 1: lie to each other, we are also, in academic terms, 145 00:07:57,800 --> 00:08:00,960 Speaker 1: a female diet. Oh my gosh, all diets are the 146 00:08:01,000 --> 00:08:05,040 Speaker 1: worst lying ever. Get two women sitting across the table 147 00:08:05,240 --> 00:08:09,640 Speaker 1: much like you and I are, and the lies come forth. 148 00:08:09,960 --> 00:08:13,520 Speaker 1: And that really surprise researchers because gender stereotypes hold that 149 00:08:13,600 --> 00:08:17,080 Speaker 1: women have more intimate friendships than men do, and it 150 00:08:17,080 --> 00:08:20,520 Speaker 1: would seem counterproductive to this perceived intimacy to have the 151 00:08:20,520 --> 00:08:23,560 Speaker 1: two women lying to each other. But lo and behold. 152 00:08:24,280 --> 00:08:27,240 Speaker 1: In this study that looked at gender and lying, which 153 00:08:27,240 --> 00:08:29,440 Speaker 1: we're going to go into right now, it was women 154 00:08:29,880 --> 00:08:34,199 Speaker 1: in interactions with other women that lied the most, but 155 00:08:34,240 --> 00:08:38,920 Speaker 1: they were very specific types of lies, lies for the 156 00:08:39,000 --> 00:08:43,559 Speaker 1: benefit of the woman sitting across from the table. Right 157 00:08:43,720 --> 00:08:46,600 Speaker 1: This study breaks lives down into self directed lies and 158 00:08:46,640 --> 00:08:49,880 Speaker 1: other directed lies. A self directed lies something that really 159 00:08:49,920 --> 00:08:52,679 Speaker 1: pumps you up. You know, it's exaggerating how much money 160 00:08:52,720 --> 00:08:55,160 Speaker 1: you make, or you know, what a great deal you 161 00:08:55,280 --> 00:08:58,760 Speaker 1: got on your new car, something that really increases, uh, 162 00:08:58,800 --> 00:09:01,680 Speaker 1: the esteem another per sim will hold for you. And 163 00:09:01,840 --> 00:09:04,640 Speaker 1: other directed lie as a lie that's told to protect 164 00:09:05,240 --> 00:09:07,959 Speaker 1: or to build up the esteem of someone someone else. 165 00:09:08,040 --> 00:09:10,839 Speaker 1: It would be like telling you, oh, I like your haircut. Yeah, wait, 166 00:09:10,880 --> 00:09:12,520 Speaker 1: what do you say about my hairmman, it's just a 167 00:09:12,559 --> 00:09:17,520 Speaker 1: hypothetical Christian Yeah. With this with this landmark lying study, 168 00:09:17,600 --> 00:09:20,840 Speaker 1: because there really haven't been that many studies on deception because, 169 00:09:20,880 --> 00:09:23,120 Speaker 1: as you could imagine, it'd be kind of hold hard 170 00:09:23,160 --> 00:09:27,120 Speaker 1: to study and to study lying. Uh. This researcher from 171 00:09:27,120 --> 00:09:31,120 Speaker 1: the University of Virginia named Bella Depolo had a group 172 00:09:31,160 --> 00:09:32,920 Speaker 1: of students and then a group of people in the 173 00:09:32,960 --> 00:09:39,240 Speaker 1: community keep a lying diary essentially for a week, and 174 00:09:39,360 --> 00:09:42,000 Speaker 1: she then categorized the types of lies that were told, 175 00:09:42,320 --> 00:09:45,880 Speaker 1: who they told the lies to, whether they were about 176 00:09:45,920 --> 00:09:51,560 Speaker 1: themselves or about the other person. And an interesting gender 177 00:09:51,600 --> 00:09:55,679 Speaker 1: pattern did emerge. Right when those when that diet of 178 00:09:56,120 --> 00:09:58,640 Speaker 1: female is present that we just mentioned, we were more 179 00:09:58,760 --> 00:10:02,840 Speaker 1: two women were more likely to how uh other directed lives. 180 00:10:03,280 --> 00:10:05,679 Speaker 1: We were always trying to protect the other person, saying, oh, no, 181 00:10:05,840 --> 00:10:08,320 Speaker 1: you did the right thing breaking up with that guy, 182 00:10:08,360 --> 00:10:10,440 Speaker 1: even if we maybe thank oh you should have you 183 00:10:10,440 --> 00:10:13,120 Speaker 1: should have saved that one, or or whatever the lies 184 00:10:13,200 --> 00:10:16,559 Speaker 1: that we your mistruths or what however, we're gonna categorize 185 00:10:16,559 --> 00:10:19,320 Speaker 1: these little white lies. That was the kind of lie 186 00:10:19,360 --> 00:10:22,720 Speaker 1: that the women told, especially with other women, whereas men 187 00:10:22,960 --> 00:10:27,240 Speaker 1: tend to tell self directed lies such as, oh I 188 00:10:27,320 --> 00:10:31,160 Speaker 1: got this fantastic deal on my new Jaguar car. I 189 00:10:31,280 --> 00:10:34,240 Speaker 1: just spent seven hours in the gym working on my muscles, 190 00:10:34,400 --> 00:10:37,800 Speaker 1: and this so big because of it, I'm sure the 191 00:10:37,800 --> 00:10:39,959 Speaker 1: men out there will love our stereotypes of what male 192 00:10:40,040 --> 00:10:42,480 Speaker 1: lives are really boring lies that we're coming up with 193 00:10:42,800 --> 00:10:45,600 Speaker 1: right now because we're so honest. Christen, It's true I 194 00:10:45,600 --> 00:10:47,760 Speaker 1: would feel skeptical of all a sudden you're throwing out 195 00:10:47,760 --> 00:10:51,200 Speaker 1: really great lives. But the big question we wanted to 196 00:10:51,240 --> 00:10:53,880 Speaker 1: answer with the podcast was whether or not men or 197 00:10:53,920 --> 00:10:57,440 Speaker 1: women lie more because they'll see a lot of relationship 198 00:10:57,520 --> 00:11:00,840 Speaker 1: advice about how men to to lie all the time 199 00:11:00,920 --> 00:11:05,319 Speaker 1: or watch out for those deceitful, witchy women. But Depolo's 200 00:11:05,400 --> 00:11:09,319 Speaker 1: research indicates that men and women tend to lie about 201 00:11:09,360 --> 00:11:12,320 Speaker 1: the same amount. And when men and women were in 202 00:11:12,400 --> 00:11:15,360 Speaker 1: conversation and a lie occurred, uh, it was usually a 203 00:11:15,400 --> 00:11:18,120 Speaker 1: self a self focused lie. But it was only those 204 00:11:18,160 --> 00:11:20,920 Speaker 1: women to women interactions where it was another focused lie. 205 00:11:21,280 --> 00:11:23,680 Speaker 1: But we we are very kind with our lying. I 206 00:11:23,679 --> 00:11:26,240 Speaker 1: believe one four of the lies, according to Apollo, is 207 00:11:26,280 --> 00:11:29,840 Speaker 1: another directed lie. And uh, you know, people said that 208 00:11:29,880 --> 00:11:34,079 Speaker 1: these weren't elaborate, thought out lies. Seventy percent of them, 209 00:11:34,120 --> 00:11:36,120 Speaker 1: if they had the chance, would lie again. Tell the 210 00:11:36,160 --> 00:11:40,040 Speaker 1: exact same lie. Even though it made them more uncomfortable 211 00:11:40,160 --> 00:11:43,720 Speaker 1: to bend the truth a little bit, they still wouldn't 212 00:11:43,960 --> 00:11:47,640 Speaker 1: do it any differently. It would still preserve their feelings 213 00:11:47,760 --> 00:11:51,280 Speaker 1: or lie about their g p A or whatever it 214 00:11:51,400 --> 00:11:54,520 Speaker 1: is they're they're fitting about. And most people thought that 215 00:11:55,000 --> 00:11:57,520 Speaker 1: the other person couldn't tell that they were lying. They 216 00:11:57,559 --> 00:12:00,360 Speaker 1: never felt that they got caught. Yea, even though humans 217 00:12:00,360 --> 00:12:02,800 Speaker 1: are so good at lying and we're lying all the time. 218 00:12:02,840 --> 00:12:04,800 Speaker 1: What was it in the Apollo study. I believe it 219 00:12:04,880 --> 00:12:09,240 Speaker 1: was among the college students, one in every three social 220 00:12:09,240 --> 00:12:12,600 Speaker 1: interaction involves some kind of lying, whereas in the older 221 00:12:12,800 --> 00:12:16,079 Speaker 1: community population it was one in five interactions. So it's 222 00:12:16,080 --> 00:12:19,840 Speaker 1: just something that is almost second nature to us with 223 00:12:19,880 --> 00:12:22,640 Speaker 1: our social interactions. And yet we're not very good at 224 00:12:22,640 --> 00:12:25,960 Speaker 1: detecting lies. But then the questions nearly becomes are we 225 00:12:26,040 --> 00:12:28,240 Speaker 1: not so good at detecting lies? Or do we just 226 00:12:28,320 --> 00:12:31,720 Speaker 1: not want to detect the laws? I think that's a 227 00:12:31,720 --> 00:12:34,680 Speaker 1: fair question, because if one in four lies are another 228 00:12:34,760 --> 00:12:38,040 Speaker 1: directed line meant to protect us, do you really want 229 00:12:38,080 --> 00:12:40,000 Speaker 1: to know? I mean, do I really want to know? Christ? 230 00:12:40,040 --> 00:12:43,120 Speaker 1: And if you hate my haircut or you know, because 231 00:12:43,200 --> 00:12:44,320 Speaker 1: you know at the end of the day. What do 232 00:12:44,400 --> 00:12:46,360 Speaker 1: I care what you think of my haircut? I mean, 233 00:12:46,400 --> 00:12:49,319 Speaker 1: if I made you dinner and you said it was disgusting, Molly, 234 00:12:48,960 --> 00:12:51,720 Speaker 1: I don't really think that i'd want to know. That's 235 00:12:51,760 --> 00:12:53,440 Speaker 1: just I mean, you know, it's not polite. There's a 236 00:12:53,440 --> 00:12:57,720 Speaker 1: fine line I think between politeness and lying. But of 237 00:12:57,720 --> 00:13:00,320 Speaker 1: course then you get into you know, not None of 238 00:13:00,360 --> 00:13:03,120 Speaker 1: these studies really deal with, let's say, a lie in 239 00:13:03,160 --> 00:13:07,760 Speaker 1: a relationship, a romantic relationship, and I think that those 240 00:13:07,760 --> 00:13:10,400 Speaker 1: are probably the lies that you know, become the basis 241 00:13:10,440 --> 00:13:15,520 Speaker 1: of romantic comedies and sitcoms and really big heartbreak too. 242 00:13:15,960 --> 00:13:19,240 Speaker 1: Uh if it's a lie that feels like this betrayal, right. 243 00:13:19,280 --> 00:13:23,840 Speaker 1: Psychologists often say that you save the worst lies, the 244 00:13:23,880 --> 00:13:27,520 Speaker 1: most hurtful and monumental lies, for the ones who are 245 00:13:27,679 --> 00:13:31,840 Speaker 1: closest to you, and people in dating relationships especially lie 246 00:13:31,880 --> 00:13:35,000 Speaker 1: to each other all the time. Bella De Paulo, who 247 00:13:35,080 --> 00:13:36,760 Speaker 1: was the researcher we were talking about earlier from the 248 00:13:36,840 --> 00:13:40,800 Speaker 1: University of Virginia, said that dating couples lie to each 249 00:13:40,840 --> 00:13:44,360 Speaker 1: other in about a third of their interactions a third 250 00:13:44,679 --> 00:13:47,679 Speaker 1: a third. But what was weird is that married couples 251 00:13:47,720 --> 00:13:51,640 Speaker 1: lie less, but the lies will be bigger. Yeah, so 252 00:13:52,640 --> 00:13:54,320 Speaker 1: I take that with a grain up salt. I really 253 00:13:54,320 --> 00:13:57,000 Speaker 1: can't say which one I'd prefer, but Christine, I think 254 00:13:57,000 --> 00:14:00,599 Speaker 1: the question then is can you detect a I? And 255 00:14:00,640 --> 00:14:03,480 Speaker 1: according to one study, women are better at sessing out 256 00:14:03,520 --> 00:14:07,000 Speaker 1: these little untruths that we tell each other between friends 257 00:14:07,040 --> 00:14:09,280 Speaker 1: than men are that women are just more able to 258 00:14:09,280 --> 00:14:12,360 Speaker 1: pick up on the body language miscues. And you know, 259 00:14:12,440 --> 00:14:14,440 Speaker 1: we we did come across one article about how to 260 00:14:14,440 --> 00:14:18,040 Speaker 1: tell when someone's lying, and you know, it was kind 261 00:14:18,040 --> 00:14:21,720 Speaker 1: of frustrating. They seem like pretty generic, uh tips about 262 00:14:21,760 --> 00:14:24,800 Speaker 1: body language and watching when someone's body language was uncomfortable, 263 00:14:25,160 --> 00:14:27,720 Speaker 1: watching when someone tried to cover their hand, I mean 264 00:14:27,720 --> 00:14:31,040 Speaker 1: cover their mouth with their hand. Um, watch when someone's 265 00:14:31,080 --> 00:14:35,000 Speaker 1: eyes were shifty. But you know, all these studies talk 266 00:14:35,080 --> 00:14:38,720 Speaker 1: about how we are able to internalize and almost make 267 00:14:38,800 --> 00:14:41,000 Speaker 1: true our lives as soon as we tell them. It's 268 00:14:41,000 --> 00:14:42,520 Speaker 1: almost like as soon as you say, oh, I like 269 00:14:42,560 --> 00:14:45,440 Speaker 1: your haircut, you can just believe that you do like 270 00:14:45,480 --> 00:14:48,280 Speaker 1: your hair just become self fulfilling prophecies, kind of like 271 00:14:48,280 --> 00:14:50,520 Speaker 1: the g p A study. And that's why lie detect 272 00:14:50,560 --> 00:14:53,640 Speaker 1: your tests aren't allowed in court, usually polygraph tests because 273 00:14:53,760 --> 00:14:56,720 Speaker 1: you know if you can. Those tests measure fear and 274 00:14:56,800 --> 00:15:00,080 Speaker 1: not truth. They measure your reaction to telling the law I, 275 00:15:00,440 --> 00:15:04,040 Speaker 1: not the lie itself. And because we humans are so 276 00:15:04,080 --> 00:15:07,960 Speaker 1: good at believing our own uh lies, you know you 277 00:15:08,040 --> 00:15:11,840 Speaker 1: don't have that fearful reaction necessarily when you're recounting whether 278 00:15:12,000 --> 00:15:15,520 Speaker 1: you know you lied to your mother or your father something. Moms, 279 00:15:15,560 --> 00:15:19,400 Speaker 1: by the way, the most frequently lied to group. Sorry moms, 280 00:15:19,440 --> 00:15:23,160 Speaker 1: but everybody's lying to you, it's true. This was from 281 00:15:23,200 --> 00:15:28,800 Speaker 1: a survey done by the Science Museum in London, and 282 00:15:29,200 --> 00:15:33,400 Speaker 1: the poll found that men supposedly lie more than women, 283 00:15:33,840 --> 00:15:36,360 Speaker 1: but again, women might have just been lying about how 284 00:15:36,480 --> 00:15:41,600 Speaker 1: much they lie, because men and women define lying differently. 285 00:15:42,360 --> 00:15:47,080 Speaker 1: Men tend to define lying as sheer, misstatement of fact, 286 00:15:47,480 --> 00:15:51,800 Speaker 1: pretty cut and dried, whereas women attach an emotional angle 287 00:15:51,840 --> 00:15:55,240 Speaker 1: to it. We tend to define lying is something as 288 00:15:55,240 --> 00:15:58,880 Speaker 1: a mistruth that hurts us, which is so weird when 289 00:15:58,920 --> 00:16:01,680 Speaker 1: you compare that to depoll those research about how women, 290 00:16:01,920 --> 00:16:04,120 Speaker 1: especially when they're talking with other women, tend to lie 291 00:16:04,120 --> 00:16:06,800 Speaker 1: more with other directed lies. It's like, when we are 292 00:16:06,800 --> 00:16:09,520 Speaker 1: telling the lie, we know that it's meant to protect 293 00:16:09,560 --> 00:16:12,280 Speaker 1: the other person, but when we're confronted with the fact 294 00:16:12,320 --> 00:16:14,600 Speaker 1: that someone has lied to us, it's a betrayal. And 295 00:16:14,640 --> 00:16:17,680 Speaker 1: I feel that it's a really interesting split. You know, 296 00:16:17,760 --> 00:16:20,200 Speaker 1: we're lying all the time to protect other people's feelings, 297 00:16:20,360 --> 00:16:22,520 Speaker 1: but we don't want our own feelings protected. I think 298 00:16:22,520 --> 00:16:25,480 Speaker 1: that's kind of bizarre. But to go back to this 299 00:16:25,680 --> 00:16:28,120 Speaker 1: um science music of London, I didn't want to throw 300 00:16:28,160 --> 00:16:30,320 Speaker 1: out a few of the lies that men and women 301 00:16:30,360 --> 00:16:33,600 Speaker 1: had in common, and those lots. The number one lie 302 00:16:33,640 --> 00:16:36,000 Speaker 1: that both men and women had in common was nothing's wrong, 303 00:16:36,120 --> 00:16:39,960 Speaker 1: I'm fine, We've all said that, we've all heard that. 304 00:16:40,000 --> 00:16:43,760 Speaker 1: One other wise that they had in common was it 305 00:16:43,840 --> 00:16:47,600 Speaker 1: wasn't that expensive. Both men and women would say that 306 00:16:47,800 --> 00:16:50,360 Speaker 1: I'm on the way, they weren't really on the way, 307 00:16:50,800 --> 00:16:53,560 Speaker 1: and I didn't have that much to drink. And according 308 00:16:53,600 --> 00:16:56,080 Speaker 1: to that whole British men lied to their partners most 309 00:16:56,120 --> 00:17:00,920 Speaker 1: often about their drinking habits. Something to our mind. Yes, 310 00:17:01,000 --> 00:17:05,120 Speaker 1: indeed another podcast topic. So with all of this uh 311 00:17:05,200 --> 00:17:07,920 Speaker 1: this lying research, I think we can we can tie 312 00:17:07,920 --> 00:17:10,159 Speaker 1: it up pretty pretty easily, saying that men and women 313 00:17:10,640 --> 00:17:13,160 Speaker 1: all lie, we're all we're all a bunch of liars. 314 00:17:13,400 --> 00:17:16,320 Speaker 1: Women do it a little bit differently. We especially tend 315 00:17:16,320 --> 00:17:20,240 Speaker 1: to lie to our girlfriends. Uh, and men and women 316 00:17:21,119 --> 00:17:24,760 Speaker 1: see lying and define lying a little bit differently. But 317 00:17:24,840 --> 00:17:28,000 Speaker 1: it's just really a problem. You know. We we demonize 318 00:17:28,040 --> 00:17:32,440 Speaker 1: lying so much, even though clearly it's part of everyday 319 00:17:32,480 --> 00:17:36,080 Speaker 1: social interactions with people. Yeah, they've they've said that people 320 00:17:36,080 --> 00:17:39,760 Speaker 1: who can't lie do not have good social lives because 321 00:17:39,800 --> 00:17:42,760 Speaker 1: being able to lie as part of having relationships. So 322 00:17:43,000 --> 00:17:45,560 Speaker 1: is are there such things as good lies? You know? 323 00:17:46,119 --> 00:17:48,080 Speaker 1: Do we need to kind of give give a little 324 00:17:48,119 --> 00:17:50,399 Speaker 1: white lies more of a break and give me a 325 00:17:50,440 --> 00:17:55,679 Speaker 1: happier name. Yeah? Maybe just like uh like m like 326 00:17:55,760 --> 00:18:01,920 Speaker 1: balloon words, like nice nuggets. I like that. Yeah, here's 327 00:18:01,920 --> 00:18:05,800 Speaker 1: a nugget for you. It's completely fake, but it's something 328 00:18:05,840 --> 00:18:08,440 Speaker 1: to tie you over until your hair grows up from 329 00:18:08,440 --> 00:18:13,359 Speaker 1: the god awful haircut. Yeah, if you've got better, better terminology, 330 00:18:13,359 --> 00:18:15,359 Speaker 1: you will take that in a listener emails. But we 331 00:18:15,359 --> 00:18:17,480 Speaker 1: want to know what you guys think about lying. The 332 00:18:17,520 --> 00:18:19,800 Speaker 1: biggest lie you've ever told? Is it all? It means? 333 00:18:19,800 --> 00:18:22,280 Speaker 1: It really all that bad that we're walking around lying 334 00:18:22,320 --> 00:18:25,800 Speaker 1: through our teeth constantly. Let us know your thoughts. Be 335 00:18:25,880 --> 00:18:28,800 Speaker 1: honest to email us. We won't we won't judge you, 336 00:18:29,119 --> 00:18:36,080 Speaker 1: and it's mom Stuff at how stuff works dot com. 337 00:18:36,119 --> 00:18:38,240 Speaker 1: All right, I've got a listener email here from Hannah 338 00:18:38,359 --> 00:18:41,879 Speaker 1: and she writes about our charity podcast. She writes, I 339 00:18:41,960 --> 00:18:44,000 Speaker 1: just finished listening to the Donation podcast and I wanted 340 00:18:44,000 --> 00:18:46,560 Speaker 1: to share a donation activity that I do with my friends. 341 00:18:47,000 --> 00:18:49,080 Speaker 1: Each month, we get together for a nice dinner out. 342 00:18:49,240 --> 00:18:52,480 Speaker 1: The person who picks the restaurant also picks a charity. 343 00:18:52,600 --> 00:18:54,080 Speaker 1: At the end of the meal, we all give five 344 00:18:54,119 --> 00:18:55,879 Speaker 1: to ten dollars to that person and they make the 345 00:18:55,920 --> 00:18:59,160 Speaker 1: actual donation after explaining what the charity is. That way, 346 00:18:59,200 --> 00:19:01,119 Speaker 1: each person makes a few donations a year to a 347 00:19:01,200 --> 00:19:04,200 Speaker 1: charity of their choice. A larger donation is made than 348 00:19:04,400 --> 00:19:05,880 Speaker 1: what one of us could have made on our own. 349 00:19:06,280 --> 00:19:08,400 Speaker 1: It's a small amount of money each month, and it's 350 00:19:08,440 --> 00:19:10,320 Speaker 1: a fun evening out with friends. It's been a great 351 00:19:10,320 --> 00:19:12,719 Speaker 1: way for all of us to actually donate rather than 352 00:19:12,760 --> 00:19:14,879 Speaker 1: just say we want to. This is an idea we 353 00:19:14,960 --> 00:19:16,920 Speaker 1: got from other friends who do something similar, and I'm 354 00:19:17,000 --> 00:19:18,960 Speaker 1: encourage anyone who wants to give to charity but doesn't 355 00:19:18,960 --> 00:19:21,440 Speaker 1: get around to it to give this a shot. Very 356 00:19:21,480 --> 00:19:27,080 Speaker 1: cool idea. I've got an email here from Kristen in Australia, 357 00:19:27,119 --> 00:19:30,639 Speaker 1: and this is in response to our podcast on the 358 00:19:30,760 --> 00:19:34,840 Speaker 1: G Spot. She writes, as a Type one diabetic, I 359 00:19:34,880 --> 00:19:37,679 Speaker 1: exercise daily, and now that it's summer in Australia, that 360 00:19:37,760 --> 00:19:40,760 Speaker 1: means a daily walk in the bush. Imagine me walking 361 00:19:40,760 --> 00:19:45,640 Speaker 1: through eucalyptus shaded paths, dodging wallabies and goannas my fearsome 362 00:19:45,680 --> 00:19:48,440 Speaker 1: hound just scared off a brown snake in my path. 363 00:19:48,520 --> 00:19:50,679 Speaker 1: And I'm laughing my head off because I'm listening to 364 00:19:50,720 --> 00:19:53,520 Speaker 1: the G spot podcast. And I laughed the loudest to 365 00:19:53,640 --> 00:19:56,960 Speaker 1: Kristen's closing line of and I forgot that I said 366 00:19:56,960 --> 00:20:00,800 Speaker 1: this morning. Every vagina is just a little bit special 367 00:20:01,720 --> 00:20:05,000 Speaker 1: and especially are Indeed that MNE reminded me of an 368 00:20:05,000 --> 00:20:08,520 Speaker 1: acronym use in Diabetes forum Land, which is why d 369 00:20:08,800 --> 00:20:12,240 Speaker 1: m V your diabetes may vary use in lines like, hey, 370 00:20:12,320 --> 00:20:13,879 Speaker 1: here's a tip you can use, try and see if 371 00:20:13,920 --> 00:20:16,400 Speaker 1: it works. But then again, why d m V apply 372 00:20:16,520 --> 00:20:18,879 Speaker 1: this to the G spot and you get y v 373 00:20:19,280 --> 00:20:21,520 Speaker 1: m V. Hey here's a tip that might help you 374 00:20:21,520 --> 00:20:25,080 Speaker 1: find your G spot, but again, you're vagina may vary. 375 00:20:25,160 --> 00:20:27,800 Speaker 1: I would like to see this in common use, Kristen. 376 00:20:27,880 --> 00:20:30,280 Speaker 1: I would like to see that in common use as well. 377 00:20:30,359 --> 00:20:33,879 Speaker 1: That is a fantastic idea. So if you have fantastic 378 00:20:33,920 --> 00:20:36,679 Speaker 1: ideas to send our way. Our email is mom Stuff 379 00:20:36,760 --> 00:20:39,720 Speaker 1: at how stuff works dot com. You can also follow 380 00:20:39,800 --> 00:20:42,920 Speaker 1: us on Twitter and like us on Facebook and new 381 00:20:43,000 --> 00:20:46,800 Speaker 1: comments over there if you'd like to. We also have 382 00:20:46,880 --> 00:20:49,200 Speaker 1: a blog that you can read during the week. It's 383 00:20:49,240 --> 00:20:51,119 Speaker 1: stuff One Ever told You, and you can find it 384 00:20:51,400 --> 00:20:57,359 Speaker 1: at how stuff works dot com. For moral, this, and 385 00:20:57,480 --> 00:21:00,280 Speaker 1: thousands of other topics. Is it how stuff works dot com. 386 00:21:00,440 --> 00:21:03,040 Speaker 1: To learn more about the podcast, cook on the podcast 387 00:21:03,200 --> 00:21:06,159 Speaker 1: icon in the upper right corner of our homepage. The 388 00:21:06,200 --> 00:21:08,840 Speaker 1: house stuff Works iPhone app has a ride. Download it 389 00:21:08,880 --> 00:21:16,479 Speaker 1: today on iTunes, brought to you by the reinvented two 390 00:21:16,520 --> 00:21:19,040 Speaker 1: thousand twelve Camray. It's ready, are you