1 00:00:00,240 --> 00:00:02,280 Speaker 1: It's hard to know who to trust these days. Man. 2 00:00:02,600 --> 00:00:04,720 Speaker 2: Listen, I'm sticking with my A one day ones. 3 00:00:05,160 --> 00:00:07,160 Speaker 1: No one is out here telling the truth. I feel like, 4 00:00:07,240 --> 00:00:10,120 Speaker 1: no matter what, it could even be something as honest 5 00:00:10,200 --> 00:00:14,480 Speaker 1: looking as a charity, and you have to start questioning, well, 6 00:00:14,480 --> 00:00:15,520 Speaker 1: where is this money going? 7 00:00:15,920 --> 00:00:18,560 Speaker 2: Who's really going to be held accountable. There's been some 8 00:00:18,600 --> 00:00:23,160 Speaker 2: conversation at least on my timeline recently, yes, about people 9 00:00:23,239 --> 00:00:27,560 Speaker 2: raising money, what happens to it? And you know, I 10 00:00:27,640 --> 00:00:32,240 Speaker 2: love a good juicy political thriller, So whether it's real 11 00:00:32,280 --> 00:00:34,920 Speaker 2: life or it's something i'm watching on Netflix, I'm like, 12 00:00:35,040 --> 00:00:36,760 Speaker 2: follow the money, what happens. 13 00:00:38,800 --> 00:00:40,879 Speaker 1: He's a kid a real life House of Cards over here. 14 00:00:41,080 --> 00:00:45,400 Speaker 1: She loves that stuff. Yes, she's an investigator. 15 00:00:45,640 --> 00:00:47,920 Speaker 2: I know we've talked about robo calls in the past. 16 00:00:48,000 --> 00:00:50,440 Speaker 2: We have now there is the GoFundMe. You got to 17 00:00:50,479 --> 00:00:53,080 Speaker 2: double check and check and make sure you know someone 18 00:00:53,120 --> 00:00:55,400 Speaker 2: who knows the creator of the gofund me to make 19 00:00:55,440 --> 00:00:56,040 Speaker 2: sure it's real. 20 00:00:56,280 --> 00:00:59,760 Speaker 1: Right. Fishing scams like where It'll be You'll see an 21 00:00:59,760 --> 00:01:03,400 Speaker 1: email and it'll look like it's from Apple because they're like, oh, 22 00:01:03,560 --> 00:01:06,280 Speaker 1: confirm your email address here, which is a normal email 23 00:01:06,319 --> 00:01:09,200 Speaker 1: that all of us get from all types of places, right, 24 00:01:09,760 --> 00:01:12,120 Speaker 1: and then next thing you know, everything is hacked. Like, 25 00:01:12,240 --> 00:01:14,520 Speaker 1: next thing you know, like your own mama gonna show 26 00:01:14,560 --> 00:01:16,600 Speaker 1: up to your door talk about something. Can I borrow 27 00:01:16,600 --> 00:01:18,039 Speaker 1: fifty dollars? The next thing you know, it's not her, 28 00:01:18,120 --> 00:01:18,840 Speaker 1: it's a hologram. 29 00:01:19,440 --> 00:01:21,639 Speaker 2: It's a hologram. Hologram. Spam is next. 30 00:01:22,640 --> 00:01:25,640 Speaker 1: I'm t T and I'm Zachiah and from Spotify Studios. 31 00:01:25,680 --> 00:01:26,240 Speaker 1: This is dope. 32 00:01:26,319 --> 00:01:45,199 Speaker 2: Last, it feels like every where you look there's a scam, 33 00:01:45,319 --> 00:01:47,039 Speaker 2: or there's a you know, or somebody's trying to catch 34 00:01:47,040 --> 00:01:48,840 Speaker 2: you up in something and you gotta have your guard up. 35 00:01:49,320 --> 00:01:51,320 Speaker 1: We could talk about a lot of things. Actually we 36 00:01:51,360 --> 00:01:56,400 Speaker 1: can talk about Takashi six y nine. Yeah, tee it 37 00:01:56,480 --> 00:01:57,840 Speaker 1: up for the people as a kid, tell them what's 38 00:01:57,880 --> 00:01:58,800 Speaker 1: going on with Takashi. 39 00:01:59,000 --> 00:02:04,080 Speaker 2: Listen, Takashi is out here dry snitching. Okay. I got nervous. 40 00:02:04,120 --> 00:02:06,960 Speaker 2: I was like, is he gonna say something about me 41 00:02:07,520 --> 00:02:08,200 Speaker 2: that I. 42 00:02:08,240 --> 00:02:11,360 Speaker 1: Feel like is a huge scam because before he became 43 00:02:11,400 --> 00:02:14,079 Speaker 1: a rapper, he was just a normal kid. 44 00:02:14,280 --> 00:02:16,320 Speaker 2: He was a regular guy. Then he puts on this 45 00:02:16,400 --> 00:02:19,520 Speaker 2: other persona that lends him some credibility, and then he 46 00:02:19,600 --> 00:02:24,080 Speaker 2: starts calling out Jim Jones and Cardi B. And Cardi B, 47 00:02:25,240 --> 00:02:27,320 Speaker 2: and I know they have to feel like they've been 48 00:02:27,360 --> 00:02:30,760 Speaker 2: wrapped up in a scam exactly. You imagine minding your 49 00:02:30,800 --> 00:02:33,880 Speaker 2: business and then all of a sudden, somebody's bringing your 50 00:02:33,919 --> 00:02:35,560 Speaker 2: name up in front of a judge and to be 51 00:02:35,639 --> 00:02:37,960 Speaker 2: snitched on by somebody like Takashi six ' nine with 52 00:02:38,120 --> 00:02:42,160 Speaker 2: rainbow teeth. Jim Jones and Chrissy had a whole TV show, 53 00:02:42,200 --> 00:02:45,240 Speaker 2: and he managed not to snitch on himself, right, and 54 00:02:45,240 --> 00:02:46,840 Speaker 2: then you come up here and be reckless. 55 00:02:47,320 --> 00:02:49,600 Speaker 1: It's crazy. You know who I think is the biggest 56 00:02:49,600 --> 00:02:56,320 Speaker 1: scammer right now? All of these TV moms like Aunt 57 00:02:56,400 --> 00:03:00,400 Speaker 1: Becky and Felicity Huffman who are out here scam the 58 00:03:00,440 --> 00:03:04,519 Speaker 1: college admissions process to get their kids into the college 59 00:03:04,560 --> 00:03:09,239 Speaker 1: of their choice. And Becky was out here staging crew photos. 60 00:03:09,480 --> 00:03:12,200 Speaker 2: If you need a set designer for your college application, 61 00:03:12,880 --> 00:03:14,760 Speaker 2: you got to ask yourself some questions. 62 00:03:15,000 --> 00:03:16,400 Speaker 1: Maybe that isn't the college for you. 63 00:03:16,760 --> 00:03:18,800 Speaker 2: So I feel like we've touched on this a little 64 00:03:18,840 --> 00:03:19,400 Speaker 2: bit before. 65 00:03:19,760 --> 00:03:23,440 Speaker 1: Yeah, in Lab three lighting me with our guest, Yamaday House, 66 00:03:23,639 --> 00:03:26,880 Speaker 1: but we kind of talked more about why people lie 67 00:03:26,919 --> 00:03:30,280 Speaker 1: and why people scam Today, we're flipping it on its 68 00:03:30,320 --> 00:03:31,920 Speaker 1: head and we're saying, why do. 69 00:03:32,000 --> 00:03:35,600 Speaker 2: You keep getting calm? Why do you keep going for 70 00:03:35,680 --> 00:03:36,640 Speaker 2: these same scams? 71 00:03:36,640 --> 00:03:39,400 Speaker 1: Exactly? And I think this is important for everyone. So 72 00:03:39,560 --> 00:03:42,200 Speaker 1: pull up a chair, turn the volume all the. 73 00:03:42,200 --> 00:03:45,360 Speaker 2: Way up, and dive in with us. Let's get into 74 00:03:45,360 --> 00:03:48,560 Speaker 2: the recitation. So this really got us thinking, right, we 75 00:03:48,680 --> 00:03:53,320 Speaker 2: started talking about scams and spam and catfishing. 76 00:03:53,680 --> 00:03:56,880 Speaker 1: Catfishing is another huge thing, these romantic scams. 77 00:03:57,040 --> 00:03:59,440 Speaker 2: Yes, and when you really think about it, I try 78 00:03:59,440 --> 00:04:04,160 Speaker 2: to distill it down to like, what's the motivating factor here? 79 00:04:04,320 --> 00:04:07,160 Speaker 2: What's driving the person that's doing the scamming, and what 80 00:04:07,320 --> 00:04:08,960 Speaker 2: drives us to fall for the scam? 81 00:04:09,040 --> 00:04:11,520 Speaker 1: Right? Is it like a specific type of person that 82 00:04:11,640 --> 00:04:14,800 Speaker 1: falls for these scams or a specific type of person 83 00:04:14,880 --> 00:04:16,200 Speaker 1: that is doing the scamming? 84 00:04:16,480 --> 00:04:18,720 Speaker 2: How do you tell if something is a scam or not? 85 00:04:19,120 --> 00:04:22,360 Speaker 2: Who falls for scam A but not scam B. Who's 86 00:04:22,400 --> 00:04:25,560 Speaker 2: gonna fall for in person scam versus an online scam? 87 00:04:25,600 --> 00:04:27,400 Speaker 2: I'm not falling for an in person scam. 88 00:04:27,640 --> 00:04:29,240 Speaker 1: I feel like I would never fall for an in 89 00:04:29,320 --> 00:04:33,960 Speaker 1: person scam. I'm too, You're skeptical of every exactly I'm 90 00:04:34,000 --> 00:04:35,680 Speaker 1: like I wake up in the morning, I roll over 91 00:04:35,760 --> 00:04:37,560 Speaker 1: look at my husband. I'm like, is that you for real? 92 00:04:41,640 --> 00:04:45,360 Speaker 2: And like for us, I think I'm savvy on the internet, 93 00:04:45,440 --> 00:04:47,479 Speaker 2: but I also know that I was on AOL chat 94 00:04:47,560 --> 00:04:49,480 Speaker 2: rooms like age Sex Language. Anybody want to meet me 95 00:04:49,520 --> 00:04:50,040 Speaker 2: at the carnival? 96 00:04:50,120 --> 00:04:52,480 Speaker 1: Yeah, I was definitely. I was what I probably like 97 00:04:52,520 --> 00:04:54,640 Speaker 1: eleven and saying I was like fifteen or sixteen. 98 00:04:54,760 --> 00:04:58,640 Speaker 2: So you have been a scammer for a while? Yes, wow, 99 00:04:58,680 --> 00:04:59,680 Speaker 2: do you didn't even hesitate? 100 00:05:00,040 --> 00:05:03,359 Speaker 1: Yeah? I mean because if you ever scammed me never, 101 00:05:04,040 --> 00:05:05,840 Speaker 1: I could never you would tell it if. 102 00:05:05,720 --> 00:05:10,080 Speaker 2: You did, and you bet not let me out. 103 00:05:11,640 --> 00:05:12,120 Speaker 1: Episode. 104 00:05:12,120 --> 00:05:16,040 Speaker 2: Oh my god, it'll be the last episode. Lord, No, wun't. 105 00:05:16,120 --> 00:05:21,040 Speaker 1: She would never let me live that down. Okay, so 106 00:05:21,120 --> 00:05:23,960 Speaker 1: let's get into the dissection. Our guest today is doctor 107 00:05:24,080 --> 00:05:24,960 Speaker 1: Losana Harris. 108 00:05:25,240 --> 00:05:29,520 Speaker 3: I'm a social neuroscientist, which means I study social behavior 109 00:05:29,560 --> 00:05:30,080 Speaker 3: and brain. 110 00:05:30,320 --> 00:05:33,600 Speaker 2: Doctor Harris is an Associate Professor of Experimental psychology at 111 00:05:33,680 --> 00:05:35,279 Speaker 2: University College in London. 112 00:05:35,400 --> 00:05:39,320 Speaker 1: His work focuses on what's called person perception or social perception, 113 00:05:39,520 --> 00:05:42,479 Speaker 1: which is all about how humans process each other. And 114 00:05:42,520 --> 00:05:45,080 Speaker 1: this is really important to understand, right because when it 115 00:05:45,120 --> 00:05:49,120 Speaker 1: comes to scams. We need to know how we decide 116 00:05:49,320 --> 00:05:50,520 Speaker 1: to trust somebody or not. 117 00:05:50,880 --> 00:05:53,400 Speaker 3: You look at things like audios, so how do people's 118 00:05:53,480 --> 00:05:57,520 Speaker 3: voices sound, things like smiles, the sort of chemical communication 119 00:05:57,640 --> 00:06:02,520 Speaker 3: that happens between people, and measure people's responses in terms 120 00:06:02,520 --> 00:06:03,680 Speaker 3: of their physiologies. 121 00:06:03,760 --> 00:06:07,880 Speaker 2: And by physiology, he means things like facial muscle movements, sweat, 122 00:06:08,120 --> 00:06:11,800 Speaker 2: heart rate, hormones, or brain activity. Measuring those things can 123 00:06:11,800 --> 00:06:15,080 Speaker 2: indicate whether someone is anxious or nervous, for example. 124 00:06:15,400 --> 00:06:18,440 Speaker 1: But doctor Harris isn't just studying how people process each other. 125 00:06:18,520 --> 00:06:21,719 Speaker 1: He's also interested in how person perception affects the decisions 126 00:06:21,720 --> 00:06:22,360 Speaker 1: we make. 127 00:06:22,440 --> 00:06:25,279 Speaker 3: Until we look at things like moral decision making, legal 128 00:06:25,320 --> 00:06:29,599 Speaker 3: decision making, financial decision making. And then the majority of 129 00:06:29,640 --> 00:06:32,920 Speaker 3: those studies we use sort of classic economic games where 130 00:06:32,960 --> 00:06:37,680 Speaker 3: we put people in competitive or cooperative situations with others 131 00:06:37,760 --> 00:06:39,920 Speaker 3: and just look at the kinds of decisions they need. 132 00:06:40,680 --> 00:06:43,400 Speaker 2: And you're probably wondering, how can we relate this back 133 00:06:43,440 --> 00:06:46,680 Speaker 2: to con artists? Right, So, as we're talking about con 134 00:06:46,760 --> 00:06:49,320 Speaker 2: artists and those that are being con there are some 135 00:06:49,440 --> 00:06:52,400 Speaker 2: interesting context here because in essence, a con artist is 136 00:06:52,480 --> 00:06:56,200 Speaker 2: using these ideas of person perception to basically con their victim. 137 00:06:56,560 --> 00:06:59,360 Speaker 1: They know that their victim will be processing them and 138 00:06:59,440 --> 00:07:03,039 Speaker 1: making decison visions based on that processing, and then they 139 00:07:03,200 --> 00:07:07,200 Speaker 1: use that to manipulate the victim. But I don't really 140 00:07:07,240 --> 00:07:08,200 Speaker 1: understand how. 141 00:07:08,040 --> 00:07:11,080 Speaker 2: This brings us to social cognition, which doctor Harris studies 142 00:07:11,320 --> 00:07:13,240 Speaker 2: is something you and I do every single day, and 143 00:07:13,280 --> 00:07:16,120 Speaker 2: it basically allows us to interact with each other. Is 144 00:07:16,160 --> 00:07:19,600 Speaker 2: the process of figuring out what's in someone else's head. 145 00:07:20,040 --> 00:07:21,680 Speaker 1: I don't know if I want to be in your head. 146 00:07:22,760 --> 00:07:25,840 Speaker 1: There's a lot of tabs open man, fifty tabs and 147 00:07:25,880 --> 00:07:34,040 Speaker 1: fifty windows, and all those tabs represent my thoughts, feelings, emotions, 148 00:07:34,080 --> 00:07:35,080 Speaker 1: goals or desires. 149 00:07:35,240 --> 00:07:37,480 Speaker 3: Now, if you think about it, that's a very difficult 150 00:07:37,560 --> 00:07:40,480 Speaker 3: thing to do, because I could never see your mind, right, 151 00:07:40,520 --> 00:07:43,240 Speaker 3: I could never see your thoughts. I have to infer 152 00:07:43,400 --> 00:07:46,320 Speaker 3: them from your behaviors. And in order to do that, 153 00:07:46,560 --> 00:07:48,880 Speaker 3: I have to crunch a lot of information. I have 154 00:07:48,960 --> 00:07:50,480 Speaker 3: to crunch a lot of numbers. I have to put 155 00:07:50,520 --> 00:07:54,160 Speaker 3: together lots of statistical information. And that leads me to 156 00:07:54,200 --> 00:07:57,760 Speaker 3: make a guess about your internal state, your mind, what's 157 00:07:57,800 --> 00:07:58,440 Speaker 3: on your mind. 158 00:07:58,880 --> 00:08:02,880 Speaker 1: And this idea of so cognition really shifted how scientists 159 00:08:02,920 --> 00:08:07,000 Speaker 1: thought about decision making. Historically, economists thought that people just 160 00:08:07,080 --> 00:08:09,960 Speaker 1: made decisions based off of their own self interest, so 161 00:08:10,040 --> 00:08:13,320 Speaker 1: basically what they could do to get themselves ahead. So 162 00:08:13,520 --> 00:08:17,080 Speaker 1: it's a situation that involves money, then you're just going 163 00:08:17,160 --> 00:08:20,880 Speaker 1: to do whatever yields the most profit, and that was 164 00:08:20,920 --> 00:08:25,600 Speaker 1: considered the rational line of thinking. But if the decision 165 00:08:25,600 --> 00:08:28,000 Speaker 1: involves another person, it's not that straightforward. 166 00:08:28,200 --> 00:08:31,840 Speaker 3: And lots of psychological and behavioral economic research has shown 167 00:08:31,880 --> 00:08:36,680 Speaker 3: that people aren't rational in their decision making and social factors. 168 00:08:36,720 --> 00:08:39,640 Speaker 3: And when I say social factors, I mean other people 169 00:08:39,880 --> 00:08:43,760 Speaker 3: or the different motivations or goals people have really biased 170 00:08:43,800 --> 00:08:47,360 Speaker 3: their decision making and directions where it appears not to 171 00:08:47,400 --> 00:08:48,040 Speaker 3: be rational. 172 00:08:48,440 --> 00:08:51,559 Speaker 2: That's interesting, right, because I think when I think of cons, 173 00:08:51,640 --> 00:08:54,360 Speaker 2: I think of them always being about money. And when 174 00:08:54,360 --> 00:08:56,760 Speaker 2: you think about cons that are about money, if it's 175 00:08:56,880 --> 00:08:59,000 Speaker 2: just like are you going to pick up this extra 176 00:08:59,080 --> 00:09:01,840 Speaker 2: dollar on the ground, that feels easy, Like the rational 177 00:09:01,880 --> 00:09:03,760 Speaker 2: decision is yes, I'm gonna pick it up, and I'm 178 00:09:03,760 --> 00:09:05,400 Speaker 2: gonna have some more money in my pocket. Right, But 179 00:09:05,480 --> 00:09:07,680 Speaker 2: if I have to pull the dollar out of somebody's pocket, 180 00:09:07,880 --> 00:09:09,760 Speaker 2: ooh man, that's a little different. 181 00:09:09,760 --> 00:09:10,920 Speaker 1: It's a little different. 182 00:09:11,080 --> 00:09:11,320 Speaker 2: Right. 183 00:09:11,679 --> 00:09:13,959 Speaker 3: And so what you've seen a lot of financial decision 184 00:09:14,000 --> 00:09:17,360 Speaker 3: making involving other people or Wendy social factors are relevant 185 00:09:17,640 --> 00:09:22,000 Speaker 3: is that people will often for goal money in order 186 00:09:22,080 --> 00:09:25,360 Speaker 3: to do things that are consistent with social and moral rules, 187 00:09:25,440 --> 00:09:26,600 Speaker 3: goals and values. 188 00:09:26,920 --> 00:09:30,040 Speaker 2: My league had a podcast recently about getting your finances 189 00:09:30,040 --> 00:09:32,520 Speaker 2: in order and all this stuff, and she talks about 190 00:09:32,840 --> 00:09:35,679 Speaker 2: people that feel peer pressure to spend money because other 191 00:09:35,679 --> 00:09:37,640 Speaker 2: people are spending money even if they know they don't 192 00:09:37,640 --> 00:09:37,920 Speaker 2: have it. 193 00:09:37,960 --> 00:09:39,160 Speaker 1: I don't know that emotion. 194 00:09:39,520 --> 00:09:43,200 Speaker 2: No, So, like if you're all out and everybody's like, 195 00:09:43,840 --> 00:09:45,640 Speaker 2: well we're gonna go out, We're gonna do rounds with drinks. 196 00:09:45,679 --> 00:09:47,240 Speaker 2: And she was saying, you should just say I only 197 00:09:47,240 --> 00:09:48,839 Speaker 2: have fifty dollars a night. Now, that doesn't mean you 198 00:09:48,840 --> 00:09:50,920 Speaker 2: shouldn't have additional rounds, but that's all I'm going to 199 00:09:50,920 --> 00:09:53,800 Speaker 2: be spending, right, even that, right, the people you're around, like, 200 00:09:53,920 --> 00:09:59,800 Speaker 2: you find what are the social norms around the situation? Right, 201 00:10:00,000 --> 00:10:02,240 Speaker 2: So people may be like I'm having the lobster. 202 00:10:02,920 --> 00:10:09,120 Speaker 1: You know, you're like, I'll have the chicken tenders, but 203 00:10:09,240 --> 00:10:11,120 Speaker 1: now you can't. You feel like you can't get chicken 204 00:10:11,160 --> 00:10:13,480 Speaker 1: tenders because if so and so is getting the lobster, 205 00:10:13,720 --> 00:10:15,880 Speaker 1: and you're like, okay, so is that kind of nice? 206 00:10:15,960 --> 00:10:19,120 Speaker 1: Is that that's what we're doing? Okay, I guess I'm 207 00:10:19,160 --> 00:10:20,280 Speaker 1: having the lobster too. 208 00:10:20,880 --> 00:10:23,080 Speaker 3: And what we and others have been arguing is that 209 00:10:23,160 --> 00:10:26,120 Speaker 3: while those social decisions are actually rational, it's just that 210 00:10:26,240 --> 00:10:29,640 Speaker 3: you care about something else. You don't care about maximizing 211 00:10:29,720 --> 00:10:34,160 Speaker 3: financial profit. You care about things like maintaining social relationships, 212 00:10:34,160 --> 00:10:36,920 Speaker 3: for instance, or you care things that you care about, 213 00:10:36,960 --> 00:10:38,200 Speaker 3: things like your reputation. 214 00:10:38,559 --> 00:10:40,800 Speaker 2: So our behaviors can be based on self interest, but 215 00:10:40,840 --> 00:10:43,280 Speaker 2: if another person is involved, our decisions may be a 216 00:10:43,320 --> 00:10:46,000 Speaker 2: little more socially minded. Why is that? 217 00:10:46,360 --> 00:10:49,160 Speaker 1: What we learned from doctor Harris is that our decision 218 00:10:49,240 --> 00:10:52,200 Speaker 1: making is really dependent on our motivations. 219 00:10:52,400 --> 00:10:54,600 Speaker 2: Our motivations are the things that drive us to do 220 00:10:54,640 --> 00:10:57,160 Speaker 2: what we do, and they're not always the same. 221 00:10:57,360 --> 00:11:00,320 Speaker 3: And so what could be happening is that those motives 222 00:11:00,880 --> 00:11:05,319 Speaker 3: become dominant or salient in those situations because those motives 223 00:11:05,360 --> 00:11:08,600 Speaker 3: are primary. Right as we evolved as a species, those 224 00:11:08,640 --> 00:11:12,079 Speaker 3: were the things that basically drove our evolution. So our 225 00:11:12,160 --> 00:11:15,640 Speaker 3: evolution was driven because human beings are what we call 226 00:11:15,679 --> 00:11:19,800 Speaker 3: a hypersocial species more than almost any other species. We 227 00:11:19,920 --> 00:11:21,240 Speaker 3: depend on other people. 228 00:11:21,840 --> 00:11:26,240 Speaker 1: In general, there is a range of motives about three 229 00:11:26,280 --> 00:11:30,720 Speaker 1: to ten that drive human behavior, but doctor Harris uses 230 00:11:31,000 --> 00:11:33,760 Speaker 1: one set of theory that talks about five of them. 231 00:11:34,200 --> 00:11:40,559 Speaker 3: Belonging, understanding human beings, like to know why particular things happen. Control, 232 00:11:40,760 --> 00:11:42,600 Speaker 3: You want to feel like you're not just sort of 233 00:11:42,679 --> 00:11:45,599 Speaker 3: randomly going through life, but you're making decisions and you 234 00:11:45,720 --> 00:11:48,960 Speaker 3: have some type of agency in your decision making what 235 00:11:49,120 --> 00:11:52,480 Speaker 3: is called self enhancement. So we're motivated to feel good 236 00:11:52,960 --> 00:11:56,400 Speaker 3: in general, to have this sort of positive feeling about ourselves. Right, 237 00:11:56,480 --> 00:11:59,559 Speaker 3: we want to feel valued and loved and respected. And 238 00:11:59,640 --> 00:12:02,320 Speaker 3: then trustworthiness is the fifth one. 239 00:12:02,520 --> 00:12:05,960 Speaker 2: Let's kind of just hone in on two motives. 240 00:12:06,240 --> 00:12:09,720 Speaker 1: Yeah, so for this episode, we're going to focus on 241 00:12:10,200 --> 00:12:13,240 Speaker 1: the need to belong and the need to trust. 242 00:12:13,559 --> 00:12:15,720 Speaker 3: And so I think when you have these types of 243 00:12:15,760 --> 00:12:19,040 Speaker 3: cons they usually take advantage of these motives that people have. 244 00:12:19,559 --> 00:12:23,320 Speaker 3: They tap into these deficits of particular pasts might have 245 00:12:23,400 --> 00:12:27,400 Speaker 3: in terms of belonging or trusting, for instance, and they 246 00:12:27,440 --> 00:12:29,400 Speaker 3: exploit that for financial benefit. 247 00:12:29,720 --> 00:12:31,800 Speaker 2: I thought one that doctor Harris hit on that was 248 00:12:31,840 --> 00:12:35,120 Speaker 2: most interesting to me was trustworthiness, and he explained that 249 00:12:35,240 --> 00:12:38,840 Speaker 2: as our need to trust others. 250 00:12:38,960 --> 00:12:41,000 Speaker 1: And I feel like that falls directly in line with 251 00:12:41,040 --> 00:12:43,719 Speaker 1: the GoFundMe stuff. So when we think about go fund me, 252 00:12:44,160 --> 00:12:48,319 Speaker 1: it's not just oh, I'm giving money to just anybody, 253 00:12:48,400 --> 00:12:50,520 Speaker 1: somebody that I don't know. The people who are putting 254 00:12:50,520 --> 00:12:53,400 Speaker 1: out these gofundmes they really put like a real personal 255 00:12:53,480 --> 00:12:56,520 Speaker 1: touch on it where you feel really connected to them. 256 00:12:56,679 --> 00:12:59,040 Speaker 1: So then you're more likely to give because it kind 257 00:12:59,080 --> 00:13:01,680 Speaker 1: of tugs at your heart's You don't want them to 258 00:13:01,720 --> 00:13:04,360 Speaker 1: be lying about little Timmy needing a new heart. You 259 00:13:04,440 --> 00:13:06,640 Speaker 1: want to trust them, Like I'm not going to go 260 00:13:06,679 --> 00:13:08,760 Speaker 1: into that thinking that I'm being scammed. I'm going to 261 00:13:08,800 --> 00:13:10,720 Speaker 1: go into that thinking I'm being a good person and 262 00:13:10,840 --> 00:13:12,320 Speaker 1: donate my twenty dollars. 263 00:13:12,679 --> 00:13:14,839 Speaker 3: When you go to a restaurant, you don't worry that 264 00:13:14,920 --> 00:13:17,920 Speaker 3: they're putting poison in your food, right, the thought never 265 00:13:17,960 --> 00:13:20,960 Speaker 3: crosses your mind because of that motivation to trust people. 266 00:13:21,360 --> 00:13:23,160 Speaker 3: And so that's how we typically function. 267 00:13:23,679 --> 00:13:25,640 Speaker 1: That's why I could never do that, like dining in 268 00:13:25,679 --> 00:13:27,840 Speaker 1: the dark stuff, I just don't trust it. I need 269 00:13:27,880 --> 00:13:29,199 Speaker 1: to be able to see who. 270 00:13:29,040 --> 00:13:29,839 Speaker 4: Is dining in the dark. 271 00:13:29,880 --> 00:13:31,559 Speaker 2: What is that get heard of that no. 272 00:13:31,520 --> 00:13:35,000 Speaker 1: People are going to restaurants and these restaurants are like 273 00:13:35,600 --> 00:13:39,760 Speaker 1: specialty restaurants and everything is pitch black. No, they tell 274 00:13:39,800 --> 00:13:42,280 Speaker 1: you what's on the menu, and you order, they bring 275 00:13:42,320 --> 00:13:44,040 Speaker 1: it out in front of you, and you eat in 276 00:13:44,080 --> 00:13:44,600 Speaker 1: the dark. 277 00:13:44,800 --> 00:13:46,560 Speaker 2: First of all, the visual component. 278 00:13:47,320 --> 00:13:50,400 Speaker 1: We've already talked about this dining in the Cookout episode. 279 00:13:50,520 --> 00:13:51,880 Speaker 2: Yes, I don't want to lose that. 280 00:13:52,080 --> 00:13:54,000 Speaker 1: I'm not eating it just because I just don't trust it. 281 00:13:54,040 --> 00:13:55,760 Speaker 1: I need to be able to see. What if there's 282 00:13:55,760 --> 00:13:58,520 Speaker 1: a hair in my food? What if there's a fingernail, 283 00:13:58,559 --> 00:14:00,080 Speaker 1: what if there's a fly like I need. 284 00:14:00,200 --> 00:14:01,200 Speaker 4: Be able to nail. 285 00:14:01,559 --> 00:14:03,320 Speaker 1: You never know, You never know. 286 00:14:03,679 --> 00:14:07,640 Speaker 2: The other dominant motive that's relevant to con artists is belonging. 287 00:14:08,080 --> 00:14:12,880 Speaker 2: Our family, friends, relationships, clubs, churches, even Twitter and Facebook. 288 00:14:13,240 --> 00:14:16,040 Speaker 2: All of these foster our inherent need to belong to 289 00:14:16,120 --> 00:14:17,479 Speaker 2: something bigger than ourselves. 290 00:14:17,760 --> 00:14:21,360 Speaker 3: And so if, for instance, someone isn't having their belonging 291 00:14:21,520 --> 00:14:24,600 Speaker 3: need match right, they're going to be highly motivated to 292 00:14:24,680 --> 00:14:27,760 Speaker 3: find another person to connect to. Even if I've never 293 00:14:27,800 --> 00:14:29,880 Speaker 3: met this person face to face and it's just been 294 00:14:29,920 --> 00:14:34,560 Speaker 3: an online interaction, they're still fulfilling my need to belong right. 295 00:14:34,680 --> 00:14:36,760 Speaker 2: So, if you want to be a part of a group, 296 00:14:36,800 --> 00:14:38,840 Speaker 2: you pay this certain amount of money, or if you 297 00:14:39,040 --> 00:14:41,880 Speaker 2: make friends with someone online or something, they say, well, 298 00:14:42,200 --> 00:14:43,520 Speaker 2: I would love to keep talking to you, but in 299 00:14:43,640 --> 00:14:44,920 Speaker 2: order for me to keep my phone on, I need 300 00:14:44,960 --> 00:14:47,360 Speaker 2: thirty dollars my phone. 301 00:14:47,640 --> 00:14:49,520 Speaker 1: We're gonna take a quick break and when we come back, 302 00:14:49,520 --> 00:14:52,080 Speaker 1: we'll get into how these motivations make us vulnerable to 303 00:14:52,080 --> 00:15:12,600 Speaker 1: scammers and who gets targeted the most. One of the 304 00:15:12,640 --> 00:15:16,360 Speaker 1: times that I feel like I'm being scammed the most 305 00:15:17,200 --> 00:15:19,520 Speaker 1: is during the election seasons. 306 00:15:19,920 --> 00:15:20,800 Speaker 2: Yes, like I don't. 307 00:15:20,800 --> 00:15:23,320 Speaker 1: There's just so much going on and I don't know 308 00:15:23,680 --> 00:15:26,800 Speaker 1: who to believe. They're saying all these numbers, and they're 309 00:15:26,840 --> 00:15:29,840 Speaker 1: saying all these things, and I'm like, are you lying 310 00:15:30,400 --> 00:15:31,840 Speaker 1: just so that I can vote for you? 311 00:15:32,240 --> 00:15:34,120 Speaker 2: Or how many people did you poll? How did you 312 00:15:34,120 --> 00:15:37,160 Speaker 2: phrase the question? Was it leading? Is this a real poll? 313 00:15:37,400 --> 00:15:39,720 Speaker 2: When you call me on the phone? Are you a telemarketer? 314 00:15:39,880 --> 00:15:42,760 Speaker 2: Are you really with somebody's campaign? What is going on? 315 00:15:42,840 --> 00:15:44,040 Speaker 2: And who is knocking at the door? 316 00:15:44,320 --> 00:15:47,280 Speaker 1: Right, We've got a lot of questions, and I'm sure 317 00:15:47,320 --> 00:15:49,920 Speaker 1: you do too, So if you have questions about this, 318 00:15:50,000 --> 00:15:52,280 Speaker 1: make sure that you send us an email at contact 319 00:15:52,320 --> 00:15:54,880 Speaker 1: at Dope Black podcast dot com or give us a 320 00:15:54,880 --> 00:15:57,920 Speaker 1: call at two zero two five six seven seven zero 321 00:15:58,080 --> 00:16:00,320 Speaker 1: two eight, or y'all can slide into our DM on 322 00:16:00,400 --> 00:16:03,200 Speaker 1: Instagram or Twitter at dope last podcasts. 323 00:16:03,200 --> 00:16:06,040 Speaker 2: All right, let's get back to the lab. So are 324 00:16:06,080 --> 00:16:09,000 Speaker 2: all these scams we're reading about and hearing about online 325 00:16:09,040 --> 00:16:12,120 Speaker 2: happening because people are more susceptible? Or is it because 326 00:16:12,200 --> 00:16:14,680 Speaker 2: con artists are just really good at taking advantage of 327 00:16:14,680 --> 00:16:16,400 Speaker 2: these deficits in our motivations. 328 00:16:16,720 --> 00:16:18,800 Speaker 3: I think what happens in these calms is a bit 329 00:16:18,840 --> 00:16:21,520 Speaker 3: of both. You get the people who are more susceptible 330 00:16:21,560 --> 00:16:26,280 Speaker 3: and you get colms developed by people who are insightful 331 00:16:26,320 --> 00:16:29,720 Speaker 3: in terms of the kinds of deficits. Humans may have 332 00:16:29,800 --> 00:16:33,200 Speaker 3: interims of their needs for belonging, so, for instance, the 333 00:16:33,240 --> 00:16:36,920 Speaker 3: elderly get targeteds a lot, usually because their belongingness is 334 00:16:36,960 --> 00:16:39,440 Speaker 3: a lot lower than the general population. We tend to 335 00:16:39,480 --> 00:16:41,800 Speaker 3: isolate the elderly in Western societies. 336 00:16:42,080 --> 00:16:45,280 Speaker 1: The elderly are one of the most targeted groups by 337 00:16:45,360 --> 00:16:48,320 Speaker 1: con artists, and it's not just because of their need 338 00:16:48,360 --> 00:16:52,440 Speaker 1: to belong and to trust. There are also neurobiological reasons 339 00:16:52,520 --> 00:16:53,960 Speaker 1: why they are more susceptible. 340 00:16:54,360 --> 00:16:56,840 Speaker 3: Most people think of the brain as something that's like 341 00:16:56,880 --> 00:17:00,280 Speaker 3: a computer machine where it's sort of hardwired. But that's 342 00:17:00,320 --> 00:17:03,720 Speaker 3: absolutely not true. The brain is very what we call elastic. 343 00:17:03,800 --> 00:17:07,639 Speaker 3: It's flexible, it can adopt quite easily. As you get older, 344 00:17:08,160 --> 00:17:11,440 Speaker 3: the rate of change slows quite dramatically, which is why 345 00:17:11,520 --> 00:17:13,840 Speaker 3: elderly people tend to be stuck in their ways, as 346 00:17:13,840 --> 00:17:16,520 Speaker 3: we see, because the brain isn't being as flexible. 347 00:17:16,800 --> 00:17:19,160 Speaker 2: So as you get older, there's sort of a cocktail 348 00:17:19,200 --> 00:17:21,040 Speaker 2: of factors that make you more susceptible. 349 00:17:21,160 --> 00:17:24,919 Speaker 1: A greater motivation to belong and the inability to easily 350 00:17:25,000 --> 00:17:28,240 Speaker 1: adapt to new social contexts, which might lead to you 351 00:17:28,520 --> 00:17:32,879 Speaker 1: trusting people that others may be a little bit wary of. 352 00:17:33,280 --> 00:17:35,080 Speaker 2: If someone is reaching out to you on the internet 353 00:17:35,160 --> 00:17:37,560 Speaker 2: or the phone, and it's consistent with how you've always 354 00:17:37,560 --> 00:17:41,359 Speaker 2: interacted with friendly, trustworthy people, your brain's going to say, yes, 355 00:17:41,440 --> 00:17:44,399 Speaker 2: you can trust this person, and it fits right because 356 00:17:44,400 --> 00:17:47,040 Speaker 2: for your whole life you've learned that when people approach 357 00:17:47,040 --> 00:17:48,879 Speaker 2: you in a certain way, there are usually a certain 358 00:17:48,920 --> 00:17:50,680 Speaker 2: type of people, which means you can trust them. 359 00:17:50,960 --> 00:17:53,680 Speaker 3: But now things have changed completely on Your brain isn't 360 00:17:53,720 --> 00:17:57,600 Speaker 3: catching up as quickly because it's not as elastic, and 361 00:17:57,640 --> 00:18:00,199 Speaker 3: so you're still going to make decisions based on not 362 00:18:00,359 --> 00:18:02,520 Speaker 3: myself learning history you've had, so. 363 00:18:02,440 --> 00:18:05,200 Speaker 1: Your beliefs are set, but you're in a totally different 364 00:18:05,280 --> 00:18:09,679 Speaker 1: social context. And technology has really shifted that context dramatically 365 00:18:09,720 --> 00:18:13,119 Speaker 1: in the last decade. But it's not just elderly people 366 00:18:13,200 --> 00:18:17,120 Speaker 1: who are the target. Technology has made us all more trusting. 367 00:18:17,400 --> 00:18:19,680 Speaker 1: Think about how much you trust the internet. 368 00:18:19,880 --> 00:18:23,160 Speaker 2: I really trust the Internet. I remember being so nervous 369 00:18:23,200 --> 00:18:27,720 Speaker 2: the first time I entered my debit card info online girl. 370 00:18:27,720 --> 00:18:31,000 Speaker 2: I got an American Express, and I was like, nervous, 371 00:18:31,040 --> 00:18:34,879 Speaker 2: no more. Okay. The other day I was at work 372 00:18:35,280 --> 00:18:36,760 Speaker 2: and I was typing something in and I said, why 373 00:18:36,840 --> 00:18:39,280 Speaker 2: isn't my address coming up like I wanted it to 374 00:18:39,400 --> 00:18:41,960 Speaker 2: auto populate save all my info. 375 00:18:42,119 --> 00:18:44,119 Speaker 1: If it's an online story and it doesn't have Apple 376 00:18:44,160 --> 00:18:46,400 Speaker 1: pay where I can't just put my thumb down. I'm 377 00:18:46,520 --> 00:18:49,800 Speaker 1: very frustrated, and as skeptical as I feel about other things, 378 00:18:50,119 --> 00:18:53,280 Speaker 1: it's so interesting, right what we decide to trust. I mean, 379 00:18:53,320 --> 00:18:56,920 Speaker 1: even on Instagram. I feel like now a lot of 380 00:18:56,960 --> 00:19:00,480 Speaker 1: y'all gonna try and be out here lying but buying 381 00:19:00,520 --> 00:19:05,320 Speaker 1: stuff off of Instagram, honey, and sometimes that stuff don't 382 00:19:05,320 --> 00:19:08,000 Speaker 1: show up the way you thought, which has happened to 383 00:19:08,080 --> 00:19:09,639 Speaker 1: me a number of times. 384 00:19:09,640 --> 00:19:12,280 Speaker 2: I've always been skeptical of Instagram. I was skeptical of 385 00:19:12,320 --> 00:19:15,119 Speaker 2: Asos and everybody was buying stuff and loving it, and 386 00:19:15,160 --> 00:19:18,239 Speaker 2: so no, that's real. Yeah, it's real, but I know. 387 00:19:18,480 --> 00:19:21,200 Speaker 2: And the same thing with Fashionova, only Instagram people were 388 00:19:21,320 --> 00:19:24,800 Speaker 2: wearing it. It was like Instagram clothes. I just bought. 389 00:19:25,080 --> 00:19:28,520 Speaker 2: I think my first thing off of Instagram recently, I 390 00:19:28,560 --> 00:19:33,879 Speaker 2: bought a background. Today. Somebody posted this digital illustrator. I'll 391 00:19:33,880 --> 00:19:35,399 Speaker 2: put it on the show notes for people to check 392 00:19:35,440 --> 00:19:37,840 Speaker 2: it out, and she had drawn this thing of Kicky 393 00:19:37,920 --> 00:19:40,119 Speaker 2: Palmer and says, sorry to this man, I had to 394 00:19:40,119 --> 00:19:41,479 Speaker 2: buy it. I had to buy it. 395 00:19:41,560 --> 00:19:42,560 Speaker 1: You didn't have a choice. 396 00:19:42,680 --> 00:19:45,080 Speaker 3: And I think now you have a generation of people 397 00:19:45,119 --> 00:19:49,040 Speaker 3: who aren't suspicious of technology at all, right, because they 398 00:19:49,040 --> 00:19:51,880 Speaker 3: feel like they have a sit in mastery over the technology. 399 00:19:52,000 --> 00:19:56,000 Speaker 3: So I think because of the diminished suspicion people, in 400 00:19:56,040 --> 00:19:58,080 Speaker 3: some ways, they're going to be more susceptible to these 401 00:19:58,119 --> 00:19:59,240 Speaker 3: cons in these kinds. 402 00:19:59,440 --> 00:20:02,080 Speaker 2: That's a really good point. But why is that? 403 00:20:02,320 --> 00:20:05,600 Speaker 3: What's happened with technologies, Most of the interactions aren't face 404 00:20:05,640 --> 00:20:09,399 Speaker 3: to face anymore, And I say, huge change for human beings. 405 00:20:09,400 --> 00:20:12,560 Speaker 3: So think about it. For our entire evolutionary history, every 406 00:20:12,600 --> 00:20:16,280 Speaker 3: time we've communicated with other people, we've sat next to them, 407 00:20:16,400 --> 00:20:18,960 Speaker 3: we've stood next to them, we've seen them. So in 408 00:20:18,960 --> 00:20:21,919 Speaker 3: addition to sort of making inferences about what they're thinking 409 00:20:22,000 --> 00:20:24,280 Speaker 3: based on what they're seeing, we can look at their 410 00:20:24,280 --> 00:20:27,600 Speaker 3: facial expression. We can get chemical information, right, because if 411 00:20:27,640 --> 00:20:31,000 Speaker 3: you're anxious, you'll produce particular hormones and I might pick 412 00:20:31,000 --> 00:20:31,359 Speaker 3: that up. 413 00:20:31,480 --> 00:20:33,760 Speaker 2: And that blew my mind because as a fan of 414 00:20:33,800 --> 00:20:36,680 Speaker 2: FaceTime and all the video chats, I'm like, I'm getting 415 00:20:36,680 --> 00:20:38,720 Speaker 2: way more information than if I talk on the phone 416 00:20:38,720 --> 00:20:42,879 Speaker 2: with someone. But also, anybody can have any prop behind 417 00:20:42,920 --> 00:20:45,639 Speaker 2: them and say they are XYZ whoever, whoever. 418 00:20:45,720 --> 00:20:48,760 Speaker 1: I mean, look at catfish. There are people who steal 419 00:20:48,880 --> 00:20:52,600 Speaker 1: whole videos of other people and pretend to be that person. 420 00:20:53,040 --> 00:20:55,280 Speaker 2: There's a lot of information we're not getting when we 421 00:20:55,359 --> 00:20:58,120 Speaker 2: engage with people online. Do you remember all those measurements 422 00:20:58,119 --> 00:21:00,359 Speaker 2: doctor Harris mentioned when he does the study he's on 423 00:21:00,440 --> 00:21:03,000 Speaker 2: people processing. We're not getting any of that and it's 424 00:21:03,320 --> 00:21:04,760 Speaker 2: actually affecting our decision. 425 00:21:04,880 --> 00:21:07,719 Speaker 1: And not only that, but the Internet has made it 426 00:21:07,760 --> 00:21:11,159 Speaker 1: possible for us to engage with way more people and 427 00:21:11,200 --> 00:21:14,679 Speaker 1: on a daily basis, So we're getting less information but 428 00:21:14,800 --> 00:21:17,520 Speaker 1: interacting with way more people. 429 00:21:17,760 --> 00:21:19,760 Speaker 2: I talk about this all the time with my friends 430 00:21:19,760 --> 00:21:21,960 Speaker 2: on the apps. Right when I say the apps, I 431 00:21:22,000 --> 00:21:26,719 Speaker 2: mean bumble, okaycupe it hinge, all of that, right, And 432 00:21:26,800 --> 00:21:29,040 Speaker 2: I say, they're like, oh my goodness, swipe, but these 433 00:21:29,040 --> 00:21:30,720 Speaker 2: people are crazy this, this is this oh my gosh 434 00:21:30,720 --> 00:21:32,479 Speaker 2: blah blah blah. And I'm like, you're just interacting with 435 00:21:32,840 --> 00:21:35,239 Speaker 2: way more people than you ever would. If you were 436 00:21:35,280 --> 00:21:37,840 Speaker 2: walking down the street and you passed fifty people, You're 437 00:21:37,840 --> 00:21:39,439 Speaker 2: not going to talk to all fifty of those people. 438 00:21:39,880 --> 00:21:42,320 Speaker 2: Now you're on an app, sitting in your living room 439 00:21:42,320 --> 00:21:44,160 Speaker 2: and you're about to swipe two hundred people. I mean 440 00:21:44,480 --> 00:21:47,320 Speaker 2: not really, but you know what I mean. It's different. 441 00:21:47,359 --> 00:21:48,359 Speaker 2: I don't know, it's just different. 442 00:21:48,480 --> 00:21:48,840 Speaker 1: Yeah. 443 00:21:49,119 --> 00:21:50,600 Speaker 2: It also makes me think about texting. 444 00:21:50,920 --> 00:21:53,640 Speaker 1: A lot could be lost in a text message, yes night. 445 00:21:54,040 --> 00:21:56,639 Speaker 1: I think we've all been guilty of that when somebody 446 00:21:56,960 --> 00:21:58,800 Speaker 1: like you send a text message or you receive a 447 00:21:58,800 --> 00:22:02,960 Speaker 1: text message and you're like, what's that supposed to me? 448 00:22:03,520 --> 00:22:07,880 Speaker 1: You're missing out on all of these other real person 449 00:22:08,119 --> 00:22:11,199 Speaker 1: to person interactions that give you all the contexts that 450 00:22:11,280 --> 00:22:13,160 Speaker 1: you need to really know what's being said. 451 00:22:13,480 --> 00:22:16,600 Speaker 3: But if you look at millennials now, right, all of 452 00:22:16,640 --> 00:22:19,480 Speaker 3: their interactions are happening on the internet. I mean it's fascinating. 453 00:22:19,520 --> 00:22:22,080 Speaker 3: I look at teenagers and they're standing in a group 454 00:22:22,119 --> 00:22:24,560 Speaker 3: and they're talking to each other sort of, but they're 455 00:22:24,560 --> 00:22:27,840 Speaker 3: also talking on their devices, and so the way they're 456 00:22:27,920 --> 00:22:32,199 Speaker 3: interacting has changed completely. And that's just the way of 457 00:22:32,280 --> 00:22:35,960 Speaker 3: human beings. Right. We are continually evolving and changing. 458 00:22:35,960 --> 00:22:40,200 Speaker 2: So we're less suspicious, but maybe we're also developing more 459 00:22:40,320 --> 00:22:44,080 Speaker 2: rigorous detectors to compensate for that loss of information. 460 00:22:44,640 --> 00:22:47,320 Speaker 1: Yeah, if we've evolved to this point, maybe we can 461 00:22:47,400 --> 00:22:48,040 Speaker 1: keep evolving. 462 00:22:48,320 --> 00:22:52,040 Speaker 2: I think we're developing all these tools right to know 463 00:22:52,640 --> 00:22:55,159 Speaker 2: what's a real email, you know, all those some of 464 00:22:55,160 --> 00:22:59,639 Speaker 2: the websites will say, have a question click here. I 465 00:22:59,640 --> 00:23:01,280 Speaker 2: can tell that's a bot or a real person. 466 00:23:01,480 --> 00:23:01,760 Speaker 1: Me too. 467 00:23:01,840 --> 00:23:03,280 Speaker 2: First thing I do when they say how are you today? 468 00:23:03,320 --> 00:23:08,359 Speaker 2: I say terrible? Now what are you gonna say? Bot? 469 00:23:11,200 --> 00:23:12,560 Speaker 2: Will you show some empathy? 470 00:23:12,920 --> 00:23:15,199 Speaker 1: Right? If it's about it's not, it's gonna say what 471 00:23:15,200 --> 00:23:16,199 Speaker 1: can I help you with today? 472 00:23:16,560 --> 00:23:18,560 Speaker 2: We're getting better at it. I think we're getting better 473 00:23:18,600 --> 00:23:21,359 Speaker 2: at it. To bake up for that missing information online. 474 00:23:21,960 --> 00:23:24,520 Speaker 3: For people in my generation, I think we're always going 475 00:23:24,560 --> 00:23:28,120 Speaker 3: to be suspicious because the Internet came when we knew 476 00:23:28,160 --> 00:23:30,120 Speaker 3: there was no such internet, and we had a lot 477 00:23:30,119 --> 00:23:34,679 Speaker 3: of those early teething experiences that really solidified how we 478 00:23:34,720 --> 00:23:36,800 Speaker 3: think about this technology. So even though we mean you 479 00:23:36,920 --> 00:23:39,680 Speaker 3: that as much as the millennials do, maybe not as much, 480 00:23:40,240 --> 00:23:42,000 Speaker 3: we have a different relationship to it. 481 00:23:42,080 --> 00:23:45,440 Speaker 1: So as humans evolved, can the con artists evolve too? 482 00:23:46,240 --> 00:23:48,359 Speaker 2: And are we going to go backwards where everybody's so 483 00:23:48,400 --> 00:23:50,560 Speaker 2: comfortable with technology that now we're all going to fall 484 00:23:50,600 --> 00:23:53,280 Speaker 2: for like Frank abagneil catch me if you can type 485 00:23:53,280 --> 00:23:57,240 Speaker 2: scams frite, somebody's gonna send you a piece of mail. Yes, 486 00:23:57,520 --> 00:23:59,560 Speaker 2: you're going to sign away your whole life exactly. 487 00:24:00,160 --> 00:24:05,720 Speaker 3: Artists can take advantage of that by targeting specific demographics 488 00:24:05,760 --> 00:24:08,800 Speaker 3: of people, people who have more or less experience with 489 00:24:08,840 --> 00:24:11,520 Speaker 3: the Internet, people who use the Internet in particular ways. 490 00:24:11,560 --> 00:24:13,000 Speaker 3: And I think that's where you see it. 491 00:24:13,320 --> 00:24:15,440 Speaker 2: But that might not actually be a bad thing. Doctor 492 00:24:15,480 --> 00:24:17,399 Speaker 2: Harris told us about this theory that links back to 493 00:24:17,480 --> 00:24:20,800 Speaker 2: humans being hypersocial. Remember we were talking about that earlier 494 00:24:20,800 --> 00:24:22,919 Speaker 2: in the different human motivations. 495 00:24:22,520 --> 00:24:24,680 Speaker 3: In the seventies, there was a theory that said, well, 496 00:24:24,720 --> 00:24:27,640 Speaker 3: the reason we got this additional intelligence is because we're 497 00:24:27,720 --> 00:24:31,480 Speaker 3: hyper social, and solving social problems is the hardest kind 498 00:24:31,520 --> 00:24:34,200 Speaker 3: of problem you can solve, because you have to solve 499 00:24:34,240 --> 00:24:37,720 Speaker 3: things like deception where somebody is telling you something about 500 00:24:37,720 --> 00:24:40,240 Speaker 3: how they feel, but there's no way of verifying that 501 00:24:40,320 --> 00:24:43,359 Speaker 3: information at all. And so the idea is that things 502 00:24:43,480 --> 00:24:48,520 Speaker 3: like deception pushed us to become smarter people. So if 503 00:24:48,520 --> 00:24:52,120 Speaker 3: you believe that, then what's going to happen is we're 504 00:24:52,160 --> 00:24:55,360 Speaker 3: always going to be good at detecting deception. So even 505 00:24:55,400 --> 00:24:58,440 Speaker 3: though we may be more or less trusting in different situations, 506 00:24:58,440 --> 00:25:00,760 Speaker 3: when a new technology comes in with usually it takes 507 00:25:00,840 --> 00:25:04,719 Speaker 3: us a while to adjust, well, particularly a tune towards 508 00:25:04,760 --> 00:25:08,400 Speaker 3: detecting deception, arguably because it's what drove our evolution. 509 00:25:08,800 --> 00:25:12,320 Speaker 1: So solving social problems like deception has helped us evolve. 510 00:25:12,800 --> 00:25:14,840 Speaker 1: So when you think about it this way, cons and 511 00:25:14,880 --> 00:25:19,400 Speaker 1: scams are kind of cyclical. Yeah, we get deceived, we 512 00:25:19,480 --> 00:25:24,760 Speaker 1: learn and adapt, social context changes, the deception becomes something else, 513 00:25:25,240 --> 00:25:28,920 Speaker 1: we learn and adapt, and the cycle continues. And this 514 00:25:29,000 --> 00:25:31,760 Speaker 1: theory says that's what's driven our evolution. 515 00:25:32,040 --> 00:25:34,040 Speaker 2: I guess we're developing a new set of skills that 516 00:25:34,080 --> 00:25:40,199 Speaker 2: we're adding to our interpersonal decepticon type toolbox. Right, but 517 00:25:40,200 --> 00:25:41,640 Speaker 2: then I just like, what is it going to look 518 00:25:41,680 --> 00:25:42,159 Speaker 2: like later? 519 00:25:42,400 --> 00:25:42,600 Speaker 4: Right? 520 00:25:42,880 --> 00:25:45,680 Speaker 2: Is there going to be a special shimmer to holograms 521 00:25:45,760 --> 00:25:48,040 Speaker 2: so we can know your bootleg hologram this is a 522 00:25:48,080 --> 00:25:48,840 Speaker 2: real hologram? 523 00:25:49,200 --> 00:25:52,479 Speaker 1: Like is the next step like voice simulation? So like 524 00:25:52,600 --> 00:25:56,800 Speaker 1: if you've ever recorded a video of yourself like they 525 00:25:56,800 --> 00:26:01,240 Speaker 1: have that now on a Snapchat or on Instagram, then 526 00:26:01,240 --> 00:26:03,840 Speaker 1: somebody can take your voice and make it sound like you. 527 00:26:04,160 --> 00:26:06,760 Speaker 2: I mean, they're clipping up, you know, for in the 528 00:26:06,800 --> 00:26:10,080 Speaker 2: public eye. They're clipping up people's speeches from various different 529 00:26:10,080 --> 00:26:12,040 Speaker 2: events and making it seem like they're saying something else. 530 00:26:12,240 --> 00:26:14,280 Speaker 1: And we already know that all of the stuff that 531 00:26:14,320 --> 00:26:17,520 Speaker 1: we put on social media is kept and archived, and 532 00:26:17,600 --> 00:26:21,960 Speaker 1: so essentially somebody could take all those things and string 533 00:26:21,960 --> 00:26:22,760 Speaker 1: a sentence together. 534 00:26:22,840 --> 00:26:26,440 Speaker 2: That's like something you never said, Hey Zekiah. 535 00:26:26,320 --> 00:26:28,199 Speaker 1: I need your help, can you please send me one 536 00:26:28,280 --> 00:26:28,919 Speaker 1: hundred dollars? 537 00:26:29,520 --> 00:26:32,080 Speaker 2: I would send it. I know you would, Yeah, right, 538 00:26:34,640 --> 00:26:36,240 Speaker 2: I would be like, hey, gird I want to help you. 539 00:26:36,320 --> 00:26:46,480 Speaker 4: But that's it for Lab fourteen. 540 00:26:46,920 --> 00:26:48,840 Speaker 1: Don't forget to check out our website for the cheat 541 00:26:48,880 --> 00:26:50,480 Speaker 1: sheet on today's episode. 542 00:26:50,600 --> 00:26:52,560 Speaker 2: You can find it and sign up for our newsletter 543 00:26:52,600 --> 00:26:54,520 Speaker 2: at Dope Labs podcast dot com. 544 00:26:54,720 --> 00:26:57,560 Speaker 1: Also, we love hearing from you. What do you think 545 00:26:57,560 --> 00:27:01,159 Speaker 1: about today's lab? What are your ideas for labs? Our 546 00:27:01,240 --> 00:27:04,240 Speaker 1: number is two zero two five six seven seven zero 547 00:27:04,280 --> 00:27:04,720 Speaker 1: two eight. 548 00:27:05,080 --> 00:27:07,199 Speaker 2: You can also find us on Twitter and Instagram at 549 00:27:07,240 --> 00:27:10,320 Speaker 2: Dope Labs Podcast. T T is on Twitter at d 550 00:27:10,600 --> 00:27:12,840 Speaker 2: R Underscore t Sho. 551 00:27:12,640 --> 00:27:17,160 Speaker 1: And you can find Zakia at z said So. 552 00:27:16,320 --> 00:27:19,160 Speaker 2: Follow us on Spotify or wherever you listen to podcasts. 553 00:27:19,320 --> 00:27:22,720 Speaker 1: Special thanks to our guest doctor Losana Harris. He has 554 00:27:22,720 --> 00:27:26,159 Speaker 1: a beautiful website, go check it out at ltdash Harris 555 00:27:26,320 --> 00:27:28,960 Speaker 1: dot info. We'll also link to some of his other 556 00:27:29,040 --> 00:27:30,160 Speaker 1: work in our show notes. 557 00:27:30,320 --> 00:27:33,600 Speaker 2: Our producer is Jimmy Radlet Mass of Wave Runner Studios. 558 00:27:33,920 --> 00:27:36,800 Speaker 2: Mixing and sound design by Hanns Brown and special thanks 559 00:27:36,840 --> 00:27:37,720 Speaker 2: to Tyler Adams. 560 00:27:38,200 --> 00:27:42,800 Speaker 1: Original theme music is by Taka Yasuzawa and Alex Sugiura, 561 00:27:42,880 --> 00:27:46,919 Speaker 1: with additional music by Elijah Lex Harvey. Dope Labs is 562 00:27:46,920 --> 00:27:49,760 Speaker 1: a production of Spotify Studios and Mega Owned Media Group 563 00:27:49,920 --> 00:27:51,400 Speaker 1: and is executive. 564 00:27:50,920 --> 00:28:05,440 Speaker 2: Produced by US T. T. Shadia and Zakiah Wattley. I'm 565 00:28:05,440 --> 00:28:06,800 Speaker 2: motivated to trust other people. 566 00:28:07,680 --> 00:28:10,520 Speaker 1: I know you are. My friend's a kid talks to 567 00:28:10,560 --> 00:28:12,920 Speaker 1: all the strangers and I'm like, hey, hey, we don't 568 00:28:13,000 --> 00:28:16,040 Speaker 1: know them. They're like, oh no, they're great. They're going 569 00:28:16,040 --> 00:28:19,200 Speaker 1: to another they're going to another establishment to continue their night. 570 00:28:19,280 --> 00:28:22,600 Speaker 1: We should go with them. And I'm like, we don't 571 00:28:22,680 --> 00:28:23,639 Speaker 1: know these clowns. 572 00:28:24,080 --> 00:28:26,639 Speaker 2: But that also is because I don't have any deficits 573 00:28:26,640 --> 00:28:31,160 Speaker 2: in control. I feel like, I, if this goes lift, 574 00:28:31,200 --> 00:28:35,120 Speaker 2: I'm getting ready to turn turn this night very differently 575 00:28:35,119 --> 00:28:35,800 Speaker 2: for these folks. 576 00:28:35,840 --> 00:28:36,040 Speaker 1: Right. 577 00:28:36,440 --> 00:28:38,240 Speaker 2: Sorry to that man, sorry to this man. 578 00:28:39,880 --> 00:28:40,400 Speaker 1: I don't know