1 00:00:01,920 --> 00:00:05,399 Speaker 1: Wind Down with Janet Kramer and I'm Heeart Radio podcast. 2 00:00:06,000 --> 00:00:09,000 Speaker 2: All right, so this week's Thursday Therapy, We've got Annie 3 00:00:09,119 --> 00:00:14,280 Speaker 2: sarnblad On. She is a human light detector, so she 4 00:00:14,480 --> 00:00:17,360 Speaker 2: is an expert in reading facial expressions as well as 5 00:00:17,480 --> 00:00:21,279 Speaker 2: a Steem strategic advisor. Who I'm so excited, I am 6 00:00:21,360 --> 00:00:23,400 Speaker 2: so nervous. Do you believe in light detectors? 7 00:00:23,600 --> 00:00:23,920 Speaker 3: Yep? 8 00:00:24,520 --> 00:00:25,480 Speaker 1: Do you Nope? 9 00:00:27,480 --> 00:00:29,280 Speaker 2: Actually, can I change my answer because I think I 10 00:00:29,320 --> 00:00:35,680 Speaker 2: remember a story? No, no, no, listen, I've known. 11 00:00:35,720 --> 00:00:36,839 Speaker 3: Why are you pointing at me? 12 00:00:38,440 --> 00:00:41,920 Speaker 2: I've known two people that passed the lie detector test personally, 13 00:00:41,960 --> 00:00:45,519 Speaker 2: know them that both lied. So I just don't know 14 00:00:45,520 --> 00:00:48,919 Speaker 2: if I try personal, pretty personal, but I will say this, 15 00:00:49,920 --> 00:00:54,720 Speaker 2: Kat is the most buttoned up, non commenting person today. 16 00:00:54,720 --> 00:00:57,880 Speaker 2: It's cracking me up. But we had just a view 17 00:00:57,880 --> 00:01:01,120 Speaker 2: of just her face with this entire time. Let me 18 00:01:01,200 --> 00:01:04,880 Speaker 2: just say this, as Catherine's got my gruntee little son 19 00:01:04,920 --> 00:01:09,280 Speaker 2: over there, I think I would trust the facial expressions 20 00:01:09,319 --> 00:01:12,160 Speaker 2: over the other ones. So that's why I'm really interested 21 00:01:12,200 --> 00:01:17,320 Speaker 2: to talk to her. Good point because it's actually easy 22 00:01:17,440 --> 00:01:21,120 Speaker 2: to how do I say this? You can pass a 23 00:01:21,200 --> 00:01:23,800 Speaker 2: lie detected chest by the breathing, so if they ask you, 24 00:01:24,800 --> 00:01:26,600 Speaker 2: it's taken your breath. So it's like if you go 25 00:01:26,760 --> 00:01:30,279 Speaker 2: if you know, yeah, like is your name Kristen, Yes, 26 00:01:32,920 --> 00:01:35,279 Speaker 2: if you're to ask it, so you have to control 27 00:01:35,319 --> 00:01:38,960 Speaker 2: your breathing for all the answers. Little Jana Panther. 28 00:01:38,800 --> 00:01:44,679 Speaker 1: One people to pass a detector does and this is 29 00:01:44,680 --> 00:01:45,960 Speaker 1: why they're not admissible in court. 30 00:01:46,120 --> 00:01:49,040 Speaker 2: But I think with facials, I again I would want 31 00:01:49,120 --> 00:01:50,920 Speaker 2: to know. That's why I'm so excited talk to her 32 00:01:50,960 --> 00:01:53,520 Speaker 2: because I'm like, I would believe that over anything else, 33 00:01:54,000 --> 00:01:56,880 Speaker 2: because there there's got to be a look or something. 34 00:01:57,120 --> 00:01:59,160 Speaker 2: There is something like a look to the left or something. Well, 35 00:01:59,200 --> 00:02:01,320 Speaker 2: let's get her on. And you're the actress, so this 36 00:02:01,360 --> 00:02:03,680 Speaker 2: is going to be a real test, a testimony to 37 00:02:03,720 --> 00:02:06,600 Speaker 2: your craft. And we got to truth and a lie 38 00:02:06,880 --> 00:02:08,600 Speaker 2: and we're going to see if she can decode it. 39 00:02:08,639 --> 00:02:13,639 Speaker 2: And one of mine is a speculation that you guys 40 00:02:13,960 --> 00:02:19,720 Speaker 2: might not know, okay, what there might be something you 41 00:02:19,760 --> 00:02:22,359 Speaker 2: don't know? Cat cat considering it. I find out today. 42 00:02:22,480 --> 00:02:26,320 Speaker 2: So we'll see. 43 00:02:25,400 --> 00:02:28,040 Speaker 1: Annie Annie hie. 44 00:02:28,160 --> 00:02:29,200 Speaker 4: Nice to see you all. 45 00:02:29,680 --> 00:02:30,160 Speaker 3: Nice to see. 46 00:02:30,360 --> 00:02:32,400 Speaker 2: What is your last name? I know your last name, 47 00:02:32,440 --> 00:02:34,520 Speaker 2: but what is the origin. 48 00:02:35,919 --> 00:02:38,079 Speaker 4: It's in English. 49 00:02:38,280 --> 00:02:40,280 Speaker 2: Okay, I totally did say that wrong. Then yeah, sartn 50 00:02:40,320 --> 00:02:41,639 Speaker 2: blood okay, and then what is it? 51 00:02:41,720 --> 00:02:43,280 Speaker 4: What is that if you want to say in Swedish? 52 00:02:43,280 --> 00:02:48,120 Speaker 3: It's Swedish? Okay, all right, I love that. 53 00:02:48,200 --> 00:02:48,840 Speaker 1: Are you? 54 00:02:49,000 --> 00:02:52,120 Speaker 3: Did you grow up there or did you grow up here? 55 00:02:52,360 --> 00:02:55,800 Speaker 4: It's my ex husband's name, but my maiden name is 56 00:02:55,840 --> 00:03:01,280 Speaker 4: actually Norwegian Solberg. Okay, it's so bye. So everybody. When 57 00:03:01,320 --> 00:03:05,639 Speaker 4: I moved to Sweden as a sixteen year old exchange student, 58 00:03:05,680 --> 00:03:08,720 Speaker 4: that was my version of running away from home. Everybody 59 00:03:08,760 --> 00:03:11,480 Speaker 4: thought I was Swedish. Sod help learn the language quickly 60 00:03:11,520 --> 00:03:13,760 Speaker 4: because people would just talk to me in Swedish. 61 00:03:13,800 --> 00:03:15,919 Speaker 2: And they see your ex husband because you saw a 62 00:03:15,960 --> 00:03:17,360 Speaker 2: facial expression that you didn't like. 63 00:03:18,040 --> 00:03:21,280 Speaker 4: No, No, Unfortunately, I just made bad choices. 64 00:03:21,760 --> 00:03:22,920 Speaker 3: Wow, we've all been there. 65 00:03:24,280 --> 00:03:27,040 Speaker 4: He's a nice person. It wasn't a good fit and 66 00:03:27,040 --> 00:03:28,720 Speaker 4: I had a lot of traum in my childhood, so 67 00:03:28,760 --> 00:03:32,320 Speaker 4: I chose something that felt very safe and predictable. 68 00:03:32,440 --> 00:03:35,000 Speaker 2: And then I don't know if anybody has wrapped up 69 00:03:35,040 --> 00:03:36,960 Speaker 2: my life in a sentence quite as fast as you 70 00:03:37,040 --> 00:03:41,560 Speaker 2: just did. But so jinks, Annie, Yeah, buy me a coke, 71 00:03:41,960 --> 00:03:43,920 Speaker 2: that's right. But I will say this, So I love 72 00:03:43,960 --> 00:03:45,520 Speaker 2: that you went straight too. He's a good person. You 73 00:03:45,560 --> 00:03:47,800 Speaker 2: had your stuff, Like, I love that aspect of it. 74 00:03:47,880 --> 00:03:49,640 Speaker 3: You're not trying to be Yeah. 75 00:03:49,520 --> 00:03:52,320 Speaker 4: He's because I've had I've dated other people that aren't 76 00:03:52,320 --> 00:03:52,800 Speaker 4: good people. 77 00:03:52,800 --> 00:03:57,600 Speaker 2: But difference also jinks. Okay, Annie, do you just want 78 00:03:57,640 --> 00:03:59,119 Speaker 2: to come sit down with us because. 79 00:03:58,920 --> 00:04:00,760 Speaker 4: I feel I really would like to, Like, I feel 80 00:04:00,760 --> 00:04:02,480 Speaker 4: like I just snuggle right there in the middle of 81 00:04:02,520 --> 00:04:03,520 Speaker 4: the sofa. 82 00:04:06,040 --> 00:04:08,520 Speaker 2: Who is this right now? He's three and a half 83 00:04:08,560 --> 00:04:11,520 Speaker 2: weeks old? So this is my son Jack Geez. I 84 00:04:11,520 --> 00:04:14,960 Speaker 2: always collim Jason Roman. I either call him the dog. 85 00:04:14,920 --> 00:04:20,040 Speaker 1: Or welcome to having three children, whichever kids you were Roman. 86 00:04:21,279 --> 00:04:23,320 Speaker 4: Yep, I've got three too, and I had I had 87 00:04:23,360 --> 00:04:25,599 Speaker 4: mine in just over three and a half years, so 88 00:04:25,680 --> 00:04:27,000 Speaker 4: I still get them confused. 89 00:04:27,360 --> 00:04:28,040 Speaker 3: So that's a thing. 90 00:04:28,880 --> 00:04:30,920 Speaker 1: That's the thing all day every day. 91 00:04:31,080 --> 00:04:31,279 Speaker 2: Wow. 92 00:04:31,360 --> 00:04:33,760 Speaker 1: Yeah, I mean I do it probably every day. 93 00:04:33,640 --> 00:04:35,239 Speaker 2: Because I started to think, I'm like, maybe I should 94 00:04:35,279 --> 00:04:37,480 Speaker 2: change his name because I can't I keep them. 95 00:04:37,680 --> 00:04:40,840 Speaker 4: It's just fine, You're just in like it's I mean, 96 00:04:42,320 --> 00:04:44,039 Speaker 4: hormones and all the things. 97 00:04:44,320 --> 00:04:45,400 Speaker 3: Sure that was weird? 98 00:04:45,520 --> 00:04:47,680 Speaker 2: Is I have all l's. I have three kids, they're 99 00:04:47,720 --> 00:04:51,000 Speaker 2: all l's. And I don't confuse them, but I confuse 100 00:04:51,080 --> 00:04:53,080 Speaker 2: the boy like my husband and my son's name. 101 00:04:53,160 --> 00:04:54,479 Speaker 1: I was just about to say that I do that 102 00:04:55,240 --> 00:04:56,679 Speaker 1: Nick and Caiden are the same person. 103 00:04:57,240 --> 00:04:59,279 Speaker 4: Yeah, well sometimes I get him mixed up with the 104 00:04:59,360 --> 00:05:01,280 Speaker 4: dog too, Like that's not popular. 105 00:05:01,680 --> 00:05:04,359 Speaker 2: Sometimes the behaviors are somewhat similar, and it's warranted if 106 00:05:04,400 --> 00:05:07,440 Speaker 2: I'm honest. Between the eighty five year old. Yeah, okay, 107 00:05:07,520 --> 00:05:11,159 Speaker 2: So I have a question. We started briefly to chatted 108 00:05:11,160 --> 00:05:14,720 Speaker 2: about this. Do you believe it that lie detectors, the 109 00:05:14,800 --> 00:05:17,320 Speaker 2: ones that go on your chest, are those one hundred 110 00:05:17,320 --> 00:05:18,120 Speaker 2: percent accurate? 111 00:05:19,200 --> 00:05:22,159 Speaker 4: I actually have no idea. It's a great question, but 112 00:05:22,279 --> 00:05:27,160 Speaker 4: those are dealing with like heart rate and gosha. I 113 00:05:27,240 --> 00:05:30,160 Speaker 4: don't even really know how to answer that. It's not 114 00:05:30,320 --> 00:05:36,919 Speaker 4: something that's particularly interesting to me because the machinery detects 115 00:05:37,680 --> 00:05:41,240 Speaker 4: changes and breathing and heart rate and all these like 116 00:05:41,520 --> 00:05:48,960 Speaker 4: physiological reactions, and so a really good spy can create 117 00:05:49,000 --> 00:05:52,440 Speaker 4: an alternative reality, just like I mean, you know about this. 118 00:05:52,520 --> 00:05:55,800 Speaker 4: You're an actress, so like when you're in that scene, 119 00:05:55,880 --> 00:05:58,560 Speaker 4: you're living it, right if you're doing it, well, you're 120 00:05:58,720 --> 00:06:02,200 Speaker 4: there emotionally, yeah, and you're in it, and so really 121 00:06:02,279 --> 00:06:05,800 Speaker 4: good spy creates two parallel lines of thought, and it 122 00:06:05,839 --> 00:06:10,440 Speaker 4: can put themselves into like the emotional the like fantasy life, 123 00:06:10,640 --> 00:06:13,960 Speaker 4: so like did you did you murder her? And like 124 00:06:14,040 --> 00:06:17,239 Speaker 4: in Vegas and the like. If you can convince yourself 125 00:06:17,240 --> 00:06:19,560 Speaker 4: that I was on a beach in Akapolco, then you 126 00:06:19,600 --> 00:06:21,000 Speaker 4: were on a beach in a c Polco and you 127 00:06:21,040 --> 00:06:24,360 Speaker 4: could in theory trump the machine. 128 00:06:24,320 --> 00:06:26,520 Speaker 3: Right because yeah, okay, that makes yes. 129 00:06:26,560 --> 00:06:29,960 Speaker 4: That expressions that actually precede the thought process. 130 00:06:30,880 --> 00:06:35,120 Speaker 2: So yeah, what's that, Like, what's the first micro expression 131 00:06:35,320 --> 00:06:37,080 Speaker 2: that you would go That person is lying? 132 00:06:37,839 --> 00:06:40,520 Speaker 4: So I'm looking for the disconnect. So the facial expression 133 00:06:40,600 --> 00:06:43,920 Speaker 4: and the words don't match. So somebody, I mean, it's 134 00:06:43,960 --> 00:06:46,920 Speaker 4: as simple as somebody saying I did not do that 135 00:06:46,960 --> 00:06:50,040 Speaker 4: while they're nodding like that's our body leaking and that's 136 00:06:50,440 --> 00:06:53,080 Speaker 4: the knot isn't really a micro expression, and that's and 137 00:06:53,120 --> 00:06:56,560 Speaker 4: the knot is also not universal. It depends. That's Western society. 138 00:06:58,040 --> 00:07:01,240 Speaker 4: But if I say, I'm so happy to be on 139 00:07:01,279 --> 00:07:05,120 Speaker 4: your podcast and I'm showing the growl, I'm showing the 140 00:07:05,240 --> 00:07:08,600 Speaker 4: no face, that the facial expression of disgust, there's something 141 00:07:08,680 --> 00:07:11,680 Speaker 4: off there. I'm not actually feeling what I'm saying that 142 00:07:11,720 --> 00:07:12,320 Speaker 4: I'm feeling. 143 00:07:14,240 --> 00:07:17,440 Speaker 2: Okay, I am so nervous right now and I think 144 00:07:17,440 --> 00:07:23,320 Speaker 2: it I am the world's worst liar. Like I have 145 00:07:23,400 --> 00:07:26,040 Speaker 2: sweaty hands. I feel like I am being busted right 146 00:07:26,080 --> 00:07:28,400 Speaker 2: now and there's literally nothing. I've done nothing. But do 147 00:07:28,400 --> 00:07:30,120 Speaker 2: you know what's so funny? Is I really wish she 148 00:07:30,120 --> 00:07:33,440 Speaker 2: would say? And that's usually the people that lie once 149 00:07:33,760 --> 00:07:36,160 Speaker 2: say that like I would never do that. 150 00:07:36,320 --> 00:07:36,720 Speaker 3: I would. 151 00:07:37,160 --> 00:07:41,000 Speaker 2: I'm just no, Like, I'm just right. I'm a chronic 152 00:07:41,080 --> 00:07:44,520 Speaker 2: overs like I'm a chronic oversharer, so like I won't 153 00:07:44,840 --> 00:07:47,200 Speaker 2: I can't even tell you that I had something that 154 00:07:47,240 --> 00:07:48,200 Speaker 2: I didn't have for lunch. 155 00:07:49,080 --> 00:07:50,800 Speaker 3: No manny talk to us about that. 156 00:07:50,800 --> 00:07:53,040 Speaker 4: Everybody wants to say to me. They're like, oh, you 157 00:07:53,400 --> 00:07:55,520 Speaker 4: must be awesome and poker, and I'm like no. The 158 00:07:55,600 --> 00:07:57,960 Speaker 4: reason that I'm obsessed with this has to do with 159 00:07:58,600 --> 00:08:01,320 Speaker 4: childhood that had a fair amount of trauma in it, 160 00:08:01,400 --> 00:08:04,680 Speaker 4: and the people that would that we're supposed to be trustworthy, 161 00:08:04,680 --> 00:08:07,320 Speaker 4: that lied to me all the time, and my obsession 162 00:08:07,440 --> 00:08:10,960 Speaker 4: with figuring out who I could rely on and who 163 00:08:11,160 --> 00:08:13,640 Speaker 4: was who was safe and who was trustworthy. And so 164 00:08:14,440 --> 00:08:17,760 Speaker 4: I'm a terrible liar. I really don't like lying, and 165 00:08:17,800 --> 00:08:20,280 Speaker 4: I don't like it when people lie to me. I mean, 166 00:08:20,320 --> 00:08:24,840 Speaker 4: the obsession comes from a need to figure out who 167 00:08:24,920 --> 00:08:27,960 Speaker 4: is it's less. My best friend always says, you're not 168 00:08:28,000 --> 00:08:30,160 Speaker 4: a lie detector, You're a truth detector. Like you don't 169 00:08:30,200 --> 00:08:32,200 Speaker 4: really care who lies to you. You want to figure 170 00:08:32,240 --> 00:08:33,319 Speaker 4: out who tells you the truth. 171 00:08:33,920 --> 00:08:36,320 Speaker 2: So has this been since childhood that you've had this 172 00:08:36,679 --> 00:08:39,160 Speaker 2: passion and then does it go into like learning the 173 00:08:39,240 --> 00:08:41,079 Speaker 2: traits professionally all of the thing. 174 00:08:41,200 --> 00:08:46,440 Speaker 4: Yeah, So that the childhood piece is my why, you know, 175 00:08:46,559 --> 00:08:48,880 Speaker 4: why I got into it and why it was such 176 00:08:48,920 --> 00:08:51,040 Speaker 4: an obsession with me. And then the fact that I 177 00:08:51,200 --> 00:08:55,280 Speaker 4: was gaslightd so much about what I saw and what 178 00:08:55,360 --> 00:08:57,720 Speaker 4: I lived through, you know, that didn't happen a week 179 00:08:57,800 --> 00:09:02,520 Speaker 4: later that was no longer true, and I was told 180 00:09:02,840 --> 00:09:06,600 Speaker 4: to you know, family loyalty was very, very you know, 181 00:09:06,600 --> 00:09:10,439 Speaker 4: it was a big focus, and so I really ran 182 00:09:10,520 --> 00:09:13,440 Speaker 4: away and got away as early as I could. I 183 00:09:13,520 --> 00:09:15,840 Speaker 4: was fourteen years old when I started planning. You know, 184 00:09:15,840 --> 00:09:17,520 Speaker 4: I figured out that you could be an exchange student, 185 00:09:17,520 --> 00:09:19,679 Speaker 4: that you could basically go and live with another family, 186 00:09:20,480 --> 00:09:27,520 Speaker 4: and so that became my obsession, and I how I 187 00:09:27,559 --> 00:09:30,280 Speaker 4: got out and I was gone. I mean, it came 188 00:09:30,320 --> 00:09:32,440 Speaker 4: back for vacations and that kind of thing, but I 189 00:09:32,520 --> 00:09:35,319 Speaker 4: was It was almost twenty five years that I was 190 00:09:35,360 --> 00:09:38,360 Speaker 4: outside of the US, and I've lived in nine different countries. 191 00:09:38,880 --> 00:09:42,320 Speaker 4: So I spent much of my time learning languages. I 192 00:09:42,320 --> 00:09:46,000 Speaker 4: have a master's in anthropology, and I spent like this focus. 193 00:09:46,080 --> 00:09:48,920 Speaker 4: I was obsessed with learning languages through immersion. So and 194 00:09:48,960 --> 00:09:53,200 Speaker 4: I wasn't that great learning languages. So I literally have 195 00:09:53,280 --> 00:09:56,040 Speaker 4: spent years in my life not understanding what people are saying. 196 00:09:57,160 --> 00:10:00,720 Speaker 4: And then I got certified in what's called facial action 197 00:10:00,840 --> 00:10:05,200 Speaker 4: coding and learned to numerically code the different muscle combinations 198 00:10:05,320 --> 00:10:09,280 Speaker 4: in human expression. But I'm not that good at that 199 00:10:09,360 --> 00:10:12,560 Speaker 4: advanced mathematical coding, so I simplified the entire field to 200 00:10:12,559 --> 00:10:13,640 Speaker 4: be able to teach my kids. 201 00:10:14,000 --> 00:10:15,640 Speaker 1: Well, it's so interesting. So I grew up in a 202 00:10:15,679 --> 00:10:19,320 Speaker 1: similar situation and was basically taught to lie my whole 203 00:10:19,400 --> 00:10:24,839 Speaker 1: childhood and then to lie like told to lie, tell 204 00:10:24,880 --> 00:10:27,120 Speaker 1: your grandparents this, tell so and so. 205 00:10:27,200 --> 00:10:28,040 Speaker 2: This, so. 206 00:10:28,160 --> 00:10:32,199 Speaker 1: Then I would have a natural as I got older, 207 00:10:32,200 --> 00:10:35,440 Speaker 1: in natural inkland the smallest thing to just lie. And 208 00:10:35,480 --> 00:10:37,760 Speaker 1: then I got to a point where I'm like, hated 209 00:10:38,559 --> 00:10:42,640 Speaker 1: that is not cat by the way, but I hated lying. 210 00:10:42,679 --> 00:10:46,920 Speaker 1: So it's still a very I get very hurt, very 211 00:10:46,960 --> 00:10:50,200 Speaker 1: easily if I know someone's lying, and it is a 212 00:10:50,320 --> 00:10:51,199 Speaker 1: huge I take it. 213 00:10:51,160 --> 00:10:53,160 Speaker 2: So personal too. And I'm going through a phase of 214 00:10:53,240 --> 00:10:57,240 Speaker 2: my son right now. He's five, and he is the 215 00:10:57,400 --> 00:11:02,080 Speaker 2: sweetest liar, and it's like a I can tell, like 216 00:11:02,360 --> 00:11:04,800 Speaker 2: I don't want to be mean about it, but I 217 00:11:04,840 --> 00:11:08,480 Speaker 2: can feel it hit somewhere in my body where I'm like, 218 00:11:10,080 --> 00:11:12,920 Speaker 2: you could be a million things in life, but don't 219 00:11:12,920 --> 00:11:14,000 Speaker 2: ever be a liar to me. 220 00:11:15,320 --> 00:11:17,320 Speaker 4: Well, I mean, we carry our own troublem And isn't 221 00:11:17,360 --> 00:11:21,240 Speaker 4: that so interesting with children that they hold this mirror 222 00:11:21,320 --> 00:11:24,000 Speaker 4: up to us where we not only have to figure 223 00:11:24,040 --> 00:11:26,880 Speaker 4: out what we want to do differently. I mean, you know, 224 00:11:26,920 --> 00:11:29,760 Speaker 4: even when you grow up in an ideal situation at home, 225 00:11:29,840 --> 00:11:32,760 Speaker 4: you want to figure out, like what what do I 226 00:11:32,880 --> 00:11:35,079 Speaker 4: want to do differently and what do I want to 227 00:11:35,120 --> 00:11:38,760 Speaker 4: do the same as my parents, and they really reflect back. 228 00:11:39,280 --> 00:11:42,720 Speaker 4: But for me, one of the hardest things is figuring 229 00:11:42,720 --> 00:11:44,680 Speaker 4: out how to kind of meet it in the middle 230 00:11:44,720 --> 00:11:48,760 Speaker 4: and not just respond from my trauma all the time, 231 00:11:48,800 --> 00:11:52,160 Speaker 4: but grow through it and heal and say that like, Okay, 232 00:11:52,160 --> 00:11:55,480 Speaker 4: a five year old lie is pretty normal and you 233 00:11:55,520 --> 00:11:57,800 Speaker 4: can write and you don't want to shame them, but 234 00:11:57,840 --> 00:11:59,959 Speaker 4: you also want to talk about how that makes you 235 00:12:00,200 --> 00:12:04,000 Speaker 4: feel without bringing all the druma. I mean I remember 236 00:12:04,040 --> 00:12:06,040 Speaker 4: my oldest looking at me at one point and saying, 237 00:12:06,440 --> 00:12:09,840 Speaker 4: not everything has to be a life lessen mom. 238 00:12:10,480 --> 00:12:12,240 Speaker 2: That's kind of how I feel though, Like I feel 239 00:12:12,280 --> 00:12:15,000 Speaker 2: like I'm I feel like I'm doing that. Like I'm like, 240 00:12:15,040 --> 00:12:17,040 Speaker 2: if it starts now, then he's gonna spiral and he's 241 00:12:17,040 --> 00:12:18,600 Speaker 2: gonna you know, and I'm like, really, he's just five 242 00:12:18,640 --> 00:12:20,120 Speaker 2: and he's just got a big imagination. 243 00:12:20,920 --> 00:12:23,559 Speaker 4: Yeah, but you should still tell him what you're feeling 244 00:12:23,679 --> 00:12:25,920 Speaker 4: and you know, but in age appropriate words. 245 00:12:25,920 --> 00:12:28,080 Speaker 2: But or maybe we just FaceTime miss Annie and she 246 00:12:28,120 --> 00:12:29,120 Speaker 2: can tell me what's really like. 247 00:12:29,280 --> 00:12:29,480 Speaker 4: Now. 248 00:12:30,120 --> 00:12:32,960 Speaker 3: Have you dealt with that too, with the kid aspect. 249 00:12:32,640 --> 00:12:34,400 Speaker 1: Yeah, I mean five is a very normal age for 250 00:12:34,440 --> 00:12:38,000 Speaker 1: them to start doing that. We just have, like I 251 00:12:38,120 --> 00:12:40,760 Speaker 1: have to find ways with my older kids to be like, 252 00:12:40,800 --> 00:12:42,800 Speaker 1: as long as you tell me the truth, as long 253 00:12:42,840 --> 00:12:45,040 Speaker 1: as you're honest with me, we can deal with anything. 254 00:12:45,200 --> 00:12:45,800 Speaker 3: Like what we have. 255 00:12:46,120 --> 00:12:47,920 Speaker 1: We just very much deal with that. But like I 256 00:12:47,920 --> 00:12:49,680 Speaker 1: haven't have a hard time in my marriage because I'm like, 257 00:12:49,720 --> 00:12:52,520 Speaker 1: you lied, and he'll be like I said, it was blue, 258 00:12:52,679 --> 00:12:54,760 Speaker 1: not green. I mean, it'll be the smallest thing, and 259 00:12:54,800 --> 00:12:57,760 Speaker 1: he's like, you've got to let that go, like and 260 00:12:58,040 --> 00:13:00,280 Speaker 1: it can get hard. So I'm trying to be better 261 00:13:00,360 --> 00:13:02,760 Speaker 1: about it because it's not It's also not that black 262 00:13:02,760 --> 00:13:05,040 Speaker 1: and white to me. It's like a Lia's Eliza, lie, 263 00:13:05,120 --> 00:13:08,480 Speaker 1: you omitted this and you lied to me, you know, 264 00:13:08,559 --> 00:13:10,280 Speaker 1: And so I have to I have to bring myself 265 00:13:10,320 --> 00:13:11,000 Speaker 1: back from that. 266 00:13:11,080 --> 00:13:13,920 Speaker 3: And I as childhood trauma on the couch. 267 00:13:17,559 --> 00:13:19,960 Speaker 1: And not great in these days. 268 00:13:19,960 --> 00:13:23,080 Speaker 4: It's really everybody that has childhood trauma exactly. 269 00:13:23,679 --> 00:13:26,040 Speaker 2: I think it's just because we're all talking about it finally. 270 00:13:25,720 --> 00:13:27,520 Speaker 1: But I also don't think I would want to be 271 00:13:27,559 --> 00:13:28,839 Speaker 1: able to do what she can do. 272 00:13:41,720 --> 00:13:43,760 Speaker 2: Is there error in what you do as well? Like 273 00:13:43,800 --> 00:13:47,360 Speaker 2: when you so for example, like my fiance is the 274 00:13:47,400 --> 00:13:51,679 Speaker 2: most loving, i mean sweet human being, but he's he's 275 00:13:51,760 --> 00:13:56,079 Speaker 2: more he's he's Scottish, he's a little bit more harsher 276 00:13:56,120 --> 00:14:01,000 Speaker 2: on his expressions. He's more like, I know he loves me. 277 00:14:01,080 --> 00:14:03,600 Speaker 2: But I think when maybe some people that might see 278 00:14:03,600 --> 00:14:06,679 Speaker 2: something and be like, oh well, he's not doesn't look 279 00:14:06,960 --> 00:14:09,560 Speaker 2: very happy or something, and I'm like, he's right. So 280 00:14:09,600 --> 00:14:12,600 Speaker 2: that that piece, I'm like, well, you don't also know 281 00:14:13,240 --> 00:14:14,360 Speaker 2: you know X, Y and Z. 282 00:14:14,559 --> 00:14:15,480 Speaker 3: So I'm just curious. 283 00:14:15,559 --> 00:14:17,680 Speaker 2: Is there a piece of it where it's like it's 284 00:14:17,840 --> 00:14:21,560 Speaker 2: not all about just the facial I guess. 285 00:14:21,520 --> 00:14:24,400 Speaker 4: Okay, So how can I have a dirty mouth? Like 286 00:14:24,440 --> 00:14:31,040 Speaker 4: how sure? Yeah, okay. So I can always tell the emotion. 287 00:14:31,240 --> 00:14:33,920 Speaker 4: I can tell what somebody is feeling clear as day. 288 00:14:34,920 --> 00:14:37,560 Speaker 4: I cannot tell what they are thinking. I can't tell 289 00:14:37,560 --> 00:14:39,760 Speaker 4: the why. But the micro expressions when you get to 290 00:14:39,800 --> 00:14:42,760 Speaker 4: the level that I'm at, and my kids have been 291 00:14:42,760 --> 00:14:47,800 Speaker 4: trained by me, so we never missed the micro expression. 292 00:14:48,080 --> 00:14:51,040 Speaker 3: And that's the nod the right. 293 00:14:51,280 --> 00:14:54,800 Speaker 4: So so like this is the full facial expression of disgust. 294 00:14:55,200 --> 00:14:57,920 Speaker 3: So that yeah, she's kind of like clenching her teeth 295 00:14:58,000 --> 00:14:58,440 Speaker 3: a little bit. 296 00:15:00,120 --> 00:15:03,000 Speaker 4: We're actually trained out of it as as grown ups, 297 00:15:03,000 --> 00:15:05,960 Speaker 4: and the micro expression that leaks that, you know, we're 298 00:15:05,960 --> 00:15:09,040 Speaker 4: trained out of these micro expressions by or the macro expressions, 299 00:15:09,120 --> 00:15:13,000 Speaker 4: the long, big facial expressions out from our parents because 300 00:15:13,000 --> 00:15:15,920 Speaker 4: it's not socially acceptable to be like, oh, you want 301 00:15:15,960 --> 00:15:19,440 Speaker 4: me to go over to your house? Oh, right. We 302 00:15:19,680 --> 00:15:22,080 Speaker 4: you know we can't, we can't go through life in 303 00:15:22,080 --> 00:15:24,640 Speaker 4: a socially acceptable way. But the micro expressions precede the 304 00:15:24,680 --> 00:15:28,000 Speaker 4: thought process and they leak all day long. So it's like, oh, 305 00:15:28,040 --> 00:15:31,440 Speaker 4: you want me to do this deal with you. That 306 00:15:31,960 --> 00:15:34,960 Speaker 4: twitch is always there, so I can see the exact 307 00:15:35,000 --> 00:15:37,840 Speaker 4: moment and the exact feelings, sometimes even before the person 308 00:15:38,640 --> 00:15:42,560 Speaker 4: feeling it has time to process their emotions. However, I 309 00:15:42,640 --> 00:15:45,160 Speaker 4: don't know why, Like if I ask you to meet 310 00:15:45,200 --> 00:15:47,600 Speaker 4: me for lunch next week and you showed disgust, which 311 00:15:47,640 --> 00:15:51,840 Speaker 4: I call the no face, that little twitch. I don't 312 00:15:51,880 --> 00:15:53,680 Speaker 4: know if it's because you're busy. I don't know if 313 00:15:53,720 --> 00:15:55,720 Speaker 4: it's because you don't like me. I don't know if 314 00:15:55,760 --> 00:16:00,600 Speaker 4: it's because you have, like, you know, some visitor, or 315 00:16:00,640 --> 00:16:03,280 Speaker 4: because you really you wanted to read my book before 316 00:16:03,320 --> 00:16:06,760 Speaker 4: you continued working with me, and you hadn't had a chance. 317 00:16:06,760 --> 00:16:11,000 Speaker 4: I mean, there's all these scenarios. So I when I 318 00:16:11,040 --> 00:16:14,000 Speaker 4: speak frankly, I say, it's as universal as a man 319 00:16:14,080 --> 00:16:17,520 Speaker 4: with an erection. If you set a naked man with 320 00:16:17,560 --> 00:16:19,880 Speaker 4: an erection, he is aroused. I don't know if he's 321 00:16:19,880 --> 00:16:20,560 Speaker 4: thinking about me. 322 00:16:22,600 --> 00:16:24,840 Speaker 2: But I know that's a different podcast altogether. 323 00:16:24,960 --> 00:16:27,480 Speaker 4: Right, that's a different podcast. But if he's standing there 324 00:16:27,560 --> 00:16:30,360 Speaker 4: going like I'm not aroused, you're going, well, yes you are, 325 00:16:30,440 --> 00:16:33,240 Speaker 4: because there's a change in blood flow and muscle movement 326 00:16:34,200 --> 00:16:35,760 Speaker 4: in response to that arousal. 327 00:16:36,280 --> 00:16:38,320 Speaker 2: Will my bowtox throw you off? 328 00:16:40,400 --> 00:16:43,520 Speaker 4: On my and the level that I work with, because 329 00:16:43,560 --> 00:16:46,240 Speaker 4: it's almost, like I explain it, like if you do 330 00:16:46,400 --> 00:16:50,280 Speaker 4: a five hundred puzzle piece puzzle and it's sailboats, and 331 00:16:50,320 --> 00:16:51,960 Speaker 4: then you take out a bunch of the puzzle pieces, 332 00:16:52,000 --> 00:16:54,720 Speaker 4: I can still see it's just it's still boats. So 333 00:16:54,800 --> 00:16:57,360 Speaker 4: that's sort of a simplified way of saying with every expression, 334 00:16:57,360 --> 00:17:00,120 Speaker 4: there's a top piece and a bottom piece. And so, 335 00:17:00,200 --> 00:17:04,560 Speaker 4: for example, a genuine smile, what happens has nothing to 336 00:17:04,600 --> 00:17:07,840 Speaker 4: do with the mouth. If we're genuinely feeling joy, our 337 00:17:07,920 --> 00:17:11,280 Speaker 4: cheeks pop up and that makes this skin right here 338 00:17:11,359 --> 00:17:14,360 Speaker 4: under our eyes bold it out, and we get these 339 00:17:14,359 --> 00:17:19,919 Speaker 4: little smile bags. So if I'm if I'm masked, you 340 00:17:19,960 --> 00:17:21,880 Speaker 4: can still see that regardless if you see my mouth 341 00:17:22,000 --> 00:17:22,199 Speaker 4: or not. 342 00:17:23,560 --> 00:17:26,399 Speaker 2: I am so fascinated by you. So could we do 343 00:17:26,640 --> 00:17:28,440 Speaker 2: Can we do a little game before we talk about 344 00:17:28,440 --> 00:17:28,840 Speaker 2: your book? 345 00:17:29,200 --> 00:17:29,640 Speaker 4: Sure? 346 00:17:29,800 --> 00:17:30,080 Speaker 3: Okay? 347 00:17:30,080 --> 00:17:32,080 Speaker 2: Can we do two truths and can we do two 348 00:17:32,119 --> 00:17:32,920 Speaker 2: truths and a lie? 349 00:17:33,400 --> 00:17:37,080 Speaker 4: Sure, it might go first. It might be this is 350 00:17:37,080 --> 00:17:39,960 Speaker 4: a little tricky because people get so joyful about lying 351 00:17:40,040 --> 00:17:43,040 Speaker 4: and situations. 352 00:17:43,160 --> 00:17:46,399 Speaker 2: I am not. You're not joyful, and I want you 353 00:17:46,440 --> 00:17:47,320 Speaker 2: to go first. 354 00:17:47,960 --> 00:17:50,439 Speaker 4: So shame. But you're gonna show like a little bit 355 00:17:50,440 --> 00:17:53,040 Speaker 4: of delight. So okay, we go, let's try it. 356 00:17:53,320 --> 00:17:56,880 Speaker 2: Okay, don't you go first? No, you go first? No, 357 00:17:58,440 --> 00:17:59,640 Speaker 2: Catherine got and I vote? 358 00:17:59,680 --> 00:17:59,879 Speaker 4: Thank you? 359 00:18:01,800 --> 00:18:06,320 Speaker 2: Okay, okay, okay, okay, let me get my questions. Okay, 360 00:18:06,359 --> 00:18:10,520 Speaker 2: So two truths and a lie? Ready, and I would 361 00:18:10,560 --> 00:18:13,120 Speaker 2: have another kid I got wrongfully sued last year. 362 00:18:13,160 --> 00:18:14,679 Speaker 3: Alan and I are already married. 363 00:18:14,880 --> 00:18:17,639 Speaker 4: So that was dead panned. But you showed, you showed 364 00:18:17,720 --> 00:18:19,399 Speaker 4: mirth that thought we're already married. 365 00:18:20,240 --> 00:18:21,000 Speaker 3: What does mirth mean? 366 00:18:21,760 --> 00:18:23,440 Speaker 4: It just means like tricky business. 367 00:18:25,160 --> 00:18:27,760 Speaker 2: That should actually be the name of this podcast, dream business. 368 00:18:30,040 --> 00:18:32,000 Speaker 4: So I don't know because you said it's so fast, 369 00:18:32,000 --> 00:18:34,680 Speaker 4: and then you were like, hey. 370 00:18:33,720 --> 00:18:36,919 Speaker 1: If you're already married, I'm gonna lose my mind. 371 00:18:37,760 --> 00:18:39,600 Speaker 2: I mean, I do have an extra band on my 372 00:18:39,680 --> 00:18:44,280 Speaker 2: hand that no one's asked about. Can you say I 373 00:18:44,280 --> 00:18:47,600 Speaker 2: don't know which one? Sure, I'll say him again. I 374 00:18:47,760 --> 00:18:51,160 Speaker 2: would have another kid, I got wrongfully sued last year. 375 00:18:51,560 --> 00:18:55,440 Speaker 2: Alan and I are already married an actress. 376 00:18:56,280 --> 00:18:59,200 Speaker 4: So the wrongfully sued last year, you showed a little disgust. 377 00:18:59,359 --> 00:19:01,320 Speaker 4: So I'm guessing that you were wrongfully sued. 378 00:19:01,840 --> 00:19:09,880 Speaker 1: Catherine, Well, I know you were wrongfully so say true true, 379 00:19:10,880 --> 00:19:15,880 Speaker 1: Yeah the other two I'm questioning myself over here when 380 00:19:15,880 --> 00:19:17,440 Speaker 1: I'm worried about the answer on both. 381 00:19:18,160 --> 00:19:21,000 Speaker 4: It's fun, like it is a fun game. The really 382 00:19:21,119 --> 00:19:24,119 Speaker 4: interesting thing for me is that when people are in 383 00:19:24,160 --> 00:19:28,960 Speaker 4: a high stake situation, because they'll often show shame. And 384 00:19:29,000 --> 00:19:33,800 Speaker 4: so what I look for in somebody exhibiting shines of 385 00:19:33,840 --> 00:19:37,680 Speaker 4: being a sociopath, for example, is whether or not they 386 00:19:38,080 --> 00:19:42,040 Speaker 4: show shame when they're lying, and whether or not they 387 00:19:42,080 --> 00:19:45,760 Speaker 4: show empathy when someone else gets hurt. We should pucker 388 00:19:45,800 --> 00:19:49,399 Speaker 4: our chin. That's a crucial piece of empathy. So if 389 00:19:49,400 --> 00:19:52,000 Speaker 4: you're telling you about something that's really hard, like if 390 00:19:52,000 --> 00:19:54,560 Speaker 4: you go into detail about being wrongfully sued, I'm gonna 391 00:19:54,560 --> 00:19:57,680 Speaker 4: pucker my chin because that's not fair. I'm feeling your 392 00:19:57,720 --> 00:20:01,959 Speaker 4: pain with you. So if somebody doesn't ever show that, 393 00:20:02,000 --> 00:20:03,960 Speaker 4: and you're supposed to be emotionally attached, so like if 394 00:20:04,000 --> 00:20:06,920 Speaker 4: you're dating somebody and you're trying to figure out, Okay, 395 00:20:06,920 --> 00:20:08,480 Speaker 4: I know this guy's attracted to me, but does he 396 00:20:08,520 --> 00:20:12,400 Speaker 4: actually care about my feelings? You know, whenever you talk 397 00:20:12,440 --> 00:20:16,320 Speaker 4: about something that's emotionally, physically, or financially difficult for you, 398 00:20:17,240 --> 00:20:20,600 Speaker 4: he should be puckering and mirroring that chin. That's basically 399 00:20:20,600 --> 00:20:22,560 Speaker 4: saying I'm feeling this feeling with you. 400 00:20:23,800 --> 00:20:25,880 Speaker 2: And like, if you were to ask a partner are 401 00:20:25,920 --> 00:20:28,720 Speaker 2: you cheating on me? What would be their face of lie? 402 00:20:29,640 --> 00:20:31,240 Speaker 2: I mean, this is why we're best friend. 403 00:20:31,280 --> 00:20:36,479 Speaker 4: But so I do get this question sometimes. Yeah, this 404 00:20:36,600 --> 00:20:39,200 Speaker 4: is so if he says no, one nods. That's a 405 00:20:39,280 --> 00:20:44,280 Speaker 4: problem anytime somebody says again, we're talking about the US, Canada, Mexico, 406 00:20:45,080 --> 00:20:47,240 Speaker 4: Western Europe. Like if you get over to Sri Lanka 407 00:20:47,240 --> 00:20:49,639 Speaker 4: and India, there's different head movements. So that is a 408 00:20:49,680 --> 00:20:52,480 Speaker 4: cultural thing. But in our culture. I grew up in 409 00:20:52,480 --> 00:20:55,280 Speaker 4: the US too, this means yes and this means no. 410 00:20:55,600 --> 00:20:58,119 Speaker 2: So he's like, we say that again. This so shaking 411 00:20:58,160 --> 00:20:59,760 Speaker 2: your head means shaking your head. 412 00:20:59,800 --> 00:21:05,360 Speaker 4: No means so I've never done that, and absolutely I'll 413 00:21:05,359 --> 00:21:08,439 Speaker 4: be there for you. That matches, right, But if you're 414 00:21:08,480 --> 00:21:12,280 Speaker 4: saying I'm never I would never cheat on you. That's 415 00:21:12,320 --> 00:21:13,120 Speaker 4: a problem. 416 00:21:13,480 --> 00:21:15,159 Speaker 2: Yeah, that made me feel weird when you did that. 417 00:21:15,200 --> 00:21:17,880 Speaker 4: Actually it feels itchy, right. You always trust your gut, 418 00:21:17,960 --> 00:21:19,760 Speaker 4: even if you can't dissect it or you don't know 419 00:21:19,760 --> 00:21:22,760 Speaker 4: the science behind it. There's a reason that our gut 420 00:21:22,840 --> 00:21:24,479 Speaker 4: is telling us. And so what I'm trying to do 421 00:21:24,600 --> 00:21:28,000 Speaker 4: is help women put the words, put the science on 422 00:21:28,400 --> 00:21:30,600 Speaker 4: why their gut is telling them certain things. 423 00:21:30,920 --> 00:21:33,439 Speaker 2: So then what else with the head nod with the 424 00:21:33,440 --> 00:21:34,359 Speaker 2: the cheating question. 425 00:21:34,960 --> 00:21:38,199 Speaker 4: So my son came to me and said to me, 426 00:21:38,320 --> 00:21:40,679 Speaker 4: he's eighteen and he was a few months ago and 427 00:21:40,720 --> 00:21:43,199 Speaker 4: he said maybe. It was last year he said, I 428 00:21:43,240 --> 00:21:44,840 Speaker 4: want to go out on Saturday night? Can I go 429 00:21:44,880 --> 00:21:46,960 Speaker 4: out to this party? And I was like maybe? And 430 00:21:47,040 --> 00:21:50,359 Speaker 4: he goes, thanks, because all my kids are trained, and 431 00:21:50,400 --> 00:21:52,679 Speaker 4: I go I said maybe, and he goes yeah. But 432 00:21:52,720 --> 00:21:54,800 Speaker 4: when you say maybe, and you know that's always you're 433 00:21:54,800 --> 00:21:57,720 Speaker 4: always end up saying yes because you're thinking yes. And 434 00:21:57,760 --> 00:21:59,520 Speaker 4: when you say maybe and you shake your head, that 435 00:21:59,560 --> 00:22:01,560 Speaker 4: means you're not You're gonna say no. You always say 436 00:22:01,560 --> 00:22:02,480 Speaker 4: no when you shake your head. 437 00:22:02,920 --> 00:22:07,760 Speaker 2: So have you outsmarted yourself raising these little idea? I 438 00:22:07,840 --> 00:22:09,800 Speaker 2: know I'm kind of feeling it for you. I'm glad 439 00:22:09,840 --> 00:22:11,560 Speaker 2: there's more of you in the world. But then I'm 440 00:22:11,560 --> 00:22:13,880 Speaker 2: also like, oh, kind of sucks to be the mom. 441 00:22:14,760 --> 00:22:17,399 Speaker 4: K of when your kids can see you're attracted to 442 00:22:17,480 --> 00:22:21,880 Speaker 4: somebody because your pupils dilate. That sucks. You're like, oh, 443 00:22:21,960 --> 00:22:22,800 Speaker 4: you think he's hot. 444 00:22:22,840 --> 00:22:27,200 Speaker 2: I'm like, oh, no, awkward when it's like mister Smith 445 00:22:27,240 --> 00:22:27,959 Speaker 2: and math teacher. 446 00:22:28,760 --> 00:22:44,240 Speaker 5: Yeah, so wait, have we figured out you're lying yet? 447 00:22:46,880 --> 00:22:50,960 Speaker 3: It's very important I give one truth in one lie. 448 00:22:52,280 --> 00:22:54,360 Speaker 1: No, I want to know. I want to know. 449 00:22:55,000 --> 00:22:55,520 Speaker 3: I'm sorry. 450 00:22:55,960 --> 00:22:59,080 Speaker 4: No, I'm not doing that well. 451 00:22:59,080 --> 00:23:01,000 Speaker 2: I just was thinking. I get a lot of comments 452 00:23:01,080 --> 00:23:03,200 Speaker 2: on this podcast. They'll post a little bit of the 453 00:23:03,440 --> 00:23:06,760 Speaker 2: of like the video of this podcast sometimes in to 454 00:23:06,840 --> 00:23:09,399 Speaker 2: tease the episode, and people write to me all the 455 00:23:09,400 --> 00:23:12,719 Speaker 2: time they're like, we wish we had a full video 456 00:23:12,880 --> 00:23:16,440 Speaker 2: of your expressions because I feel like I'm not good 457 00:23:16,440 --> 00:23:18,159 Speaker 2: at hiding it. And then I feel like, sometimes I 458 00:23:18,200 --> 00:23:19,800 Speaker 2: look at me, it looks like I'm not having any fun, 459 00:23:19,840 --> 00:23:21,360 Speaker 2: but I'm so always. 460 00:23:22,040 --> 00:23:23,640 Speaker 1: My face always looks like I'm mad. 461 00:23:24,200 --> 00:23:26,919 Speaker 4: But okay, so that is that like when we furrow 462 00:23:26,960 --> 00:23:29,359 Speaker 4: our brow. So even if you've got botox and you 463 00:23:29,600 --> 00:23:32,800 Speaker 4: think that that actually impedes these muscles from ferr and 464 00:23:32,880 --> 00:23:35,639 Speaker 4: these are thinking muscles, are concentrating muscles, and we like 465 00:23:35,720 --> 00:23:37,840 Speaker 4: tend to bring this all down. And it's almost like 466 00:23:38,000 --> 00:23:41,240 Speaker 4: kick starts the process of thinking of like problem solving, 467 00:23:41,640 --> 00:23:44,879 Speaker 4: and there's a piece of problem solving both in problem 468 00:23:45,000 --> 00:23:48,920 Speaker 4: solving and in anger. But people mistakenly think this sort 469 00:23:48,920 --> 00:23:53,120 Speaker 4: of stern look is necessary necessarily anger, and it's only 470 00:23:53,160 --> 00:23:54,640 Speaker 4: anger if the mouth is tight. 471 00:23:56,240 --> 00:23:57,880 Speaker 1: And that's what I feel like I am on here. 472 00:23:58,320 --> 00:24:00,920 Speaker 1: It's usually when I'm listening and I really thinking about 473 00:24:00,960 --> 00:24:05,280 Speaker 1: what you're saying. I look miserable, but I'm truly thinking. 474 00:24:05,160 --> 00:24:07,160 Speaker 2: Yeah, like I look like I have reasting beef. 475 00:24:07,160 --> 00:24:08,840 Speaker 1: And Janna's like, why are you looking at me like that? 476 00:24:09,600 --> 00:24:10,120 Speaker 4: Are we good? 477 00:24:11,400 --> 00:24:11,760 Speaker 3: Okay? 478 00:24:12,040 --> 00:24:15,840 Speaker 4: It doesn't look friendly because our brains processed as part 479 00:24:15,880 --> 00:24:18,280 Speaker 4: of anger. And that's correct, and it's the part of anger. 480 00:24:18,280 --> 00:24:20,040 Speaker 4: But anger is always going to have like whether the 481 00:24:20,200 --> 00:24:25,159 Speaker 4: mouth is shut or open, it's always it clenches everything, 482 00:24:25,359 --> 00:24:28,640 Speaker 4: That's what it's like. It clenches our shoulders or clenches 483 00:24:28,920 --> 00:24:30,760 Speaker 4: our fists so that we are preparing to fight. 484 00:24:32,160 --> 00:24:34,439 Speaker 2: I think there's a good piece of what you just 485 00:24:34,440 --> 00:24:38,320 Speaker 2: said too about it's yes, the expression like if you 486 00:24:38,359 --> 00:24:40,439 Speaker 2: were to ask someone okay, have you cheated or or 487 00:24:40,480 --> 00:24:43,760 Speaker 2: did you cheat on me? Your your your gut is 488 00:24:43,760 --> 00:24:47,600 Speaker 2: also asking that question too, right, So I think there's 489 00:24:47,640 --> 00:24:50,680 Speaker 2: such a good piece with it. Yeah, exactly, like even 490 00:24:50,760 --> 00:24:54,600 Speaker 2: having that conversation, even asking that's a huge, like you said, 491 00:24:54,640 --> 00:24:57,560 Speaker 2: huge problem. So yeah, I think that's the first thing 492 00:24:57,600 --> 00:25:00,399 Speaker 2: and going okay, if you're asking that, right, you're is 493 00:25:00,440 --> 00:25:02,359 Speaker 2: telling you something that's probably not. 494 00:25:02,320 --> 00:25:03,800 Speaker 1: Good, probably not a good sign. 495 00:25:03,840 --> 00:25:05,680 Speaker 4: If you have to ask, I would totally I would 496 00:25:05,760 --> 00:25:08,480 Speaker 4: totally agree. And so I'm always looking at whether or 497 00:25:08,520 --> 00:25:12,560 Speaker 4: not the facial expressions match the words. So somebody who 498 00:25:12,600 --> 00:25:16,600 Speaker 4: says I'm really happy for you, that's a problem showing disgusting, 499 00:25:17,119 --> 00:25:19,760 Speaker 4: that's a problem. You know I got that, I got 500 00:25:19,800 --> 00:25:22,000 Speaker 4: that great promotion, or I just had a baby. You know, 501 00:25:22,040 --> 00:25:25,240 Speaker 4: people should be like, you know, yay, congratulations. They should 502 00:25:25,240 --> 00:25:30,320 Speaker 4: be lifting up their cheeks. That's joy. Their body language 503 00:25:30,320 --> 00:25:33,960 Speaker 4: and everything should be aligned. If something feels off, it's 504 00:25:34,000 --> 00:25:37,840 Speaker 4: because it's your primitive brain processing that something's wrong. Those 505 00:25:37,840 --> 00:25:40,400 Speaker 4: are your survival skills kicking in. 506 00:25:41,280 --> 00:25:43,560 Speaker 2: We have a girl's night coming up, and it's gonna 507 00:25:43,560 --> 00:25:47,480 Speaker 2: be funny that there's three of us pseudo trained. But 508 00:25:47,560 --> 00:25:50,800 Speaker 2: also you're a great actress, as we saw in at 509 00:25:50,840 --> 00:25:54,800 Speaker 2: my fortieth birthday party. So when I'm being funny, not 510 00:25:54,920 --> 00:25:57,920 Speaker 2: when I'm being serious, one truth, one lie, one truth, 511 00:25:57,960 --> 00:26:00,639 Speaker 2: one lie. Yep, I probably have the most botox of 512 00:26:00,640 --> 00:26:03,800 Speaker 2: anyone on this couch. So this is the ultimate test. Annie. Okay, 513 00:26:04,000 --> 00:26:07,280 Speaker 2: I've ridden a camel. Yeah, I've been strapped to a 514 00:26:07,320 --> 00:26:10,920 Speaker 2: semi going fifty five miles an hour. I kind of 515 00:26:11,040 --> 00:26:12,640 Speaker 2: got to say the truth is the fifty five miles 516 00:26:12,640 --> 00:26:14,160 Speaker 2: an hour. I'm like, oh my god, that's because that's 517 00:26:14,160 --> 00:26:16,000 Speaker 2: so crazy. 518 00:26:16,320 --> 00:26:19,440 Speaker 4: I cannot tell. I literally can't tell. 519 00:26:20,080 --> 00:26:21,280 Speaker 2: Is this when I give a shout out to my 520 00:26:21,320 --> 00:26:25,880 Speaker 2: injector or because or is it that I've put myself 521 00:26:25,880 --> 00:26:27,520 Speaker 2: in two places in my brain? 522 00:26:28,200 --> 00:26:30,639 Speaker 4: I don't know. I mean, i'd like, I literally just 523 00:26:30,840 --> 00:26:31,520 Speaker 4: I can't tell. 524 00:26:32,480 --> 00:26:33,679 Speaker 2: I've never ridden a camel. 525 00:26:33,920 --> 00:26:37,880 Speaker 1: I was saying, you're strapped to a on the show, right, Yeah, yeah, yeah. 526 00:26:37,960 --> 00:26:39,840 Speaker 2: My husband had to help me with this, which makes 527 00:26:39,840 --> 00:26:42,720 Speaker 2: me a little nervous actually, because I'm I've always sucked 528 00:26:42,800 --> 00:26:45,399 Speaker 2: notoriously at two truths and a why even in school 529 00:26:45,480 --> 00:26:47,200 Speaker 2: and everything, Because I just I don't know why there's 530 00:26:47,200 --> 00:26:50,639 Speaker 2: something like weird in my brain that happens that anyways, it's. 531 00:26:50,520 --> 00:26:52,760 Speaker 4: A weird game. And what I usually get people will 532 00:26:52,760 --> 00:26:54,560 Speaker 4: do this to me at cocktail parties are at it 533 00:26:55,760 --> 00:26:57,240 Speaker 4: and they'll be like, Okay, I'm gonna like it. 534 00:26:57,680 --> 00:26:59,879 Speaker 3: I'm they show to light. 535 00:27:00,000 --> 00:27:02,320 Speaker 4: Which is what we call that facial expression of like 536 00:27:02,720 --> 00:27:05,159 Speaker 4: of trickery, like I'm going to get you on. But 537 00:27:05,320 --> 00:27:08,040 Speaker 4: now it's a game, and that's what's usually off. What 538 00:27:08,119 --> 00:27:11,320 Speaker 4: was kind of interesting and you say both of those 539 00:27:11,320 --> 00:27:15,080 Speaker 4: things is you just kind of deadpanned the straight up, 540 00:27:15,320 --> 00:27:20,119 Speaker 4: like like just send them boats straight out without much emotion. 541 00:27:20,200 --> 00:27:22,040 Speaker 4: But that when you said I've never ridden a camel, 542 00:27:22,119 --> 00:27:26,200 Speaker 4: you tucked your you touched one corner of your lips 543 00:27:26,240 --> 00:27:28,080 Speaker 4: into the into the cheek, and that's what we call 544 00:27:28,119 --> 00:27:30,439 Speaker 4: a knowing smile. So that's like, I know, I know 545 00:27:30,560 --> 00:27:31,120 Speaker 4: about this. 546 00:27:32,600 --> 00:27:32,959 Speaker 3: Okay. 547 00:27:33,000 --> 00:27:36,399 Speaker 2: So you have a book out that's called Diary of 548 00:27:36,440 --> 00:27:39,719 Speaker 2: a Human Light Detector Facial Expressions and Love, Lust and Lies. 549 00:27:40,200 --> 00:27:44,080 Speaker 2: What is the biggest takeaway that you that will help 550 00:27:44,840 --> 00:27:48,520 Speaker 2: people that read this book? And then what your biggest like, 551 00:27:48,680 --> 00:27:50,360 Speaker 2: what was your favorite chapter in it? 552 00:27:50,440 --> 00:27:51,640 Speaker 3: So we can promote the book. 553 00:27:53,480 --> 00:27:57,359 Speaker 4: So the biggest takeaway is that these are things that 554 00:27:57,400 --> 00:28:01,159 Speaker 4: we kind of sort of already know. The pieces that 555 00:28:01,240 --> 00:28:05,800 Speaker 4: I'm teaching for a lot of us women. When I 556 00:28:05,920 --> 00:28:09,919 Speaker 4: hit my audience right, people are reading the pieces about 557 00:28:09,920 --> 00:28:12,840 Speaker 4: my life and then I'm dissecting them and teaching the 558 00:28:12,880 --> 00:28:17,640 Speaker 4: facial expressions using my life's stories. And when I'm hitting 559 00:28:17,680 --> 00:28:20,760 Speaker 4: my audience right, they're they're looking at these they're reading this, 560 00:28:20,800 --> 00:28:25,240 Speaker 4: They're going, yes, that's true, and I know this facial 561 00:28:25,280 --> 00:28:28,639 Speaker 4: expression and I know Barack Obama always makes the facial 562 00:28:28,640 --> 00:28:29,679 Speaker 4: expression of suppression. 563 00:28:30,520 --> 00:28:32,880 Speaker 3: I would love to see you in politics. 564 00:28:33,280 --> 00:28:37,400 Speaker 4: Right, Yeah, there's that would be a whole other podcast. 565 00:28:37,960 --> 00:28:40,560 Speaker 3: But there's certain peace to thy coming, right. 566 00:28:40,760 --> 00:28:43,400 Speaker 4: That's the people that certain people make and when we 567 00:28:43,600 --> 00:28:46,000 Speaker 4: when I break it down and I show it, or 568 00:28:46,040 --> 00:28:49,240 Speaker 4: that Mona Lisa smile of kind of like yeah, that 569 00:28:49,400 --> 00:28:52,360 Speaker 4: half one lopside and smile like I know about that, 570 00:28:52,360 --> 00:28:54,479 Speaker 4: that sort of secret I know something you don't know. 571 00:28:55,120 --> 00:28:57,880 Speaker 4: Or the dilation of the pupil, which which is so 572 00:28:58,040 --> 00:29:00,760 Speaker 4: useful in love and dating to see if somebody's really 573 00:29:00,800 --> 00:29:04,480 Speaker 4: feeling aroused in the moment. They're people's swell during the 574 00:29:04,560 --> 00:29:06,560 Speaker 4: conversation and you're like, oh, my god, I have this 575 00:29:06,600 --> 00:29:09,160 Speaker 4: person in the palm of my hands. They're really interested, 576 00:29:09,160 --> 00:29:13,400 Speaker 4: they want me right now. Those pieces are so juicy 577 00:29:13,480 --> 00:29:17,160 Speaker 4: and so interesting, and I think for a lot of women, 578 00:29:17,640 --> 00:29:22,040 Speaker 4: I'm putting words on things that they intuitively have always 579 00:29:22,080 --> 00:29:26,680 Speaker 4: known because I'm describing the universal language of our species, 580 00:29:27,080 --> 00:29:30,960 Speaker 4: which is biologically hardwired into us. And I think they're men. 581 00:29:31,080 --> 00:29:33,080 Speaker 4: I mean, I have male friends that I work with 582 00:29:33,120 --> 00:29:36,320 Speaker 4: that I really enjoy intellectually, and they've said I can't 583 00:29:36,320 --> 00:29:38,920 Speaker 4: get through ten pages, like there's too many feelings. 584 00:29:39,160 --> 00:29:42,760 Speaker 2: Yeah, Oh, I'm so excited. I'm really excited. I'm just 585 00:29:42,760 --> 00:29:44,160 Speaker 2: going to leave it on the nightstand. I think it 586 00:29:44,200 --> 00:29:45,080 Speaker 2: speaks for itself. 587 00:29:46,560 --> 00:29:49,600 Speaker 4: I like peaks about love and lust. That's my favorite. 588 00:29:49,760 --> 00:29:54,920 Speaker 4: Those pieces. I think I will endlessly be interested in 589 00:29:55,080 --> 00:29:58,360 Speaker 4: knowing if someone that I have strong feelings for me 590 00:29:58,480 --> 00:30:02,160 Speaker 4: is one attracted to me too emotionally attached to me? 591 00:30:02,400 --> 00:30:04,400 Speaker 4: Does he want me? And does he love me? I 592 00:30:04,400 --> 00:30:06,720 Speaker 4: think are such universal questions. 593 00:30:07,040 --> 00:30:09,360 Speaker 2: Yes, and that's an ad to cart for everyone. So 594 00:30:10,000 --> 00:30:11,760 Speaker 2: thank you any so much for coming on the show. 595 00:30:12,120 --> 00:30:14,120 Speaker 2: Would love to have you back on. You're so sweet. 596 00:30:14,200 --> 00:30:19,400 Speaker 4: Thank you nice Kat. 597 00:30:19,400 --> 00:30:22,120 Speaker 2: We didn't get to you, but we're also your truth 598 00:30:22,160 --> 00:30:24,960 Speaker 2: and I just don't know. We have to lie. 599 00:30:25,720 --> 00:30:27,320 Speaker 1: I need to know if you're having another baby or 600 00:30:27,360 --> 00:30:29,880 Speaker 1: you're married. This is so important. 601 00:30:31,120 --> 00:30:34,480 Speaker 3: I can guess what you say, what you think the lie? 602 00:30:35,200 --> 00:30:35,760 Speaker 1: Yeah, what do you think? 603 00:30:36,840 --> 00:30:38,240 Speaker 2: You and I are both walking out? 604 00:30:39,160 --> 00:30:39,440 Speaker 4: True? 605 00:30:39,720 --> 00:30:43,800 Speaker 1: I know, but also are you really thinking about having 606 00:30:43,760 --> 00:30:44,680 Speaker 1: another baby? 607 00:30:45,080 --> 00:30:49,640 Speaker 2: I mean, I think they're both lies. I'm hoping, but one. 608 00:30:49,560 --> 00:30:50,160 Speaker 1: I'm not hoping. 609 00:30:50,160 --> 00:30:51,400 Speaker 3: I'm babies. 610 00:30:51,720 --> 00:30:54,320 Speaker 2: Right, We're down to the final truth. 611 00:30:55,400 --> 00:30:58,920 Speaker 3: Done, dun dun well. The truth is I would have 612 00:30:58,960 --> 00:30:59,520 Speaker 3: another kid. 613 00:30:59,680 --> 00:31:03,600 Speaker 2: Okay, I'm not going to, but you would, but I would, okay, 614 00:31:03,800 --> 00:31:07,960 Speaker 2: And this is just the present with the three birthstones. 615 00:31:07,960 --> 00:31:09,360 Speaker 2: And I know I was like, I don't remember your 616 00:31:09,360 --> 00:31:10,880 Speaker 2: pupils when you told me about the band. 617 00:31:10,880 --> 00:31:14,040 Speaker 1: When I asked, oh my gosh, okay, so mine mine 618 00:31:14,080 --> 00:31:14,640 Speaker 1: are stupid? 619 00:31:15,120 --> 00:31:17,560 Speaker 2: Okay, I be ready ye true, we're gonna do. I'm 620 00:31:17,560 --> 00:31:19,960 Speaker 2: gonna okay, we're going to beat the LA texture test. 621 00:31:20,520 --> 00:31:33,720 Speaker 1: I pete on myself in Walmart, ready. 622 00:31:36,200 --> 00:31:39,160 Speaker 4: On myself and can't take this rid. 623 00:31:41,760 --> 00:31:42,840 Speaker 3: I might just on thee. 624 00:31:44,960 --> 00:31:50,040 Speaker 1: I pee on myself in the car writer line, who 625 00:31:50,120 --> 00:31:56,040 Speaker 1: knew you were the number one girl? Okay? 626 00:31:56,080 --> 00:31:57,200 Speaker 3: So we put on myself. 627 00:32:02,120 --> 00:32:04,760 Speaker 1: This is why I said, no, you pooped on your 628 00:32:04,760 --> 00:32:05,720 Speaker 1: self Ware at work. 629 00:32:07,480 --> 00:32:13,520 Speaker 3: I'm gonna go with I'm gonna say to embarrassing. I'm 630 00:32:13,520 --> 00:32:14,200 Speaker 3: gonna say that. 631 00:32:14,240 --> 00:32:17,640 Speaker 2: I'm gonna say the lie is that she peed on 632 00:32:17,640 --> 00:32:18,360 Speaker 2: herself in Walmart. 633 00:32:18,360 --> 00:32:22,640 Speaker 3: I don't think you want you go to Walmart, but. 634 00:32:22,640 --> 00:32:24,280 Speaker 2: I do think you poop your pants. 635 00:32:25,000 --> 00:32:26,400 Speaker 3: I think we've all shard before. 636 00:32:27,920 --> 00:32:31,840 Speaker 2: Oh okay, I didn't see you before. I don't even 637 00:32:31,880 --> 00:32:32,160 Speaker 2: know where. 638 00:32:35,120 --> 00:32:36,480 Speaker 3: Any Way, I love Walmart. I want to put that 639 00:32:36,480 --> 00:32:36,800 Speaker 3: out there. 640 00:32:37,600 --> 00:32:38,960 Speaker 1: I just thought that would be a fun. 641 00:32:39,000 --> 00:32:41,160 Speaker 2: I just never heard you go to Walmart, so that's where. Okay, 642 00:32:41,200 --> 00:32:43,360 Speaker 2: that's my that's sting the lies. Okay, you peed in 643 00:32:43,440 --> 00:32:46,080 Speaker 2: Walmart yourself and Walmart you peed yourself Ware. 644 00:32:45,960 --> 00:32:49,400 Speaker 3: Car rider Line pooped yourself at work? I say the 645 00:32:49,720 --> 00:32:50,480 Speaker 3: car rider. 646 00:32:50,320 --> 00:32:54,600 Speaker 1: Line definitely did not pee myself at Walmart. 647 00:32:56,080 --> 00:32:56,520 Speaker 4: Good job. 648 00:32:57,280 --> 00:32:59,760 Speaker 1: You know a pop story though, anyway, so sure do 649 00:33:00,040 --> 00:33:00,560 Speaker 1: as everybody. 650 00:33:01,360 --> 00:33:04,240 Speaker 2: I think it's kind of fun and we're rapping. Bye guys, 651 00:33:04,880 --> 00:33:06,200 Speaker 2: Bye bye