1 00:00:00,080 --> 00:00:04,600 Speaker 1: Hey, everybody, welcome back to the show. How's it going, 2 00:00:04,920 --> 00:00:07,760 Speaker 1: How's how's the week been? How you been? I've been 3 00:00:07,760 --> 00:00:10,400 Speaker 1: all right, yeah. Yeah, So it's been a busy week, 4 00:00:10,440 --> 00:00:13,399 Speaker 1: but a good one. It has been very excited. I 5 00:00:13,440 --> 00:00:15,600 Speaker 1: don't think we can probably talk about it too much yet, 6 00:00:15,600 --> 00:00:20,279 Speaker 1: but Diane and I were each individually, severately cast in 7 00:00:20,360 --> 00:00:25,160 Speaker 1: a audio project to be doing some voice acting narrative podcast. 8 00:00:25,239 --> 00:00:27,560 Speaker 1: So we get to play characters, which is really fun, 9 00:00:27,720 --> 00:00:29,960 Speaker 1: super fun, and it's been great. And they cast us 10 00:00:30,000 --> 00:00:32,559 Speaker 1: not even knowing that we were husband and wife. I 11 00:00:32,560 --> 00:00:36,479 Speaker 1: imagine that. Yeah. So so we our own, our own merits, 12 00:00:36,479 --> 00:00:39,120 Speaker 1: our own individual talents got us there. It was so 13 00:00:39,200 --> 00:00:42,920 Speaker 1: funny though, because I was with my mom when I 14 00:00:43,000 --> 00:00:45,040 Speaker 1: got my email that I was cast in it, right, 15 00:00:45,240 --> 00:00:47,360 Speaker 1: and you had already gotten a call back and I hadn't, 16 00:00:47,680 --> 00:00:49,159 Speaker 1: so I know, it's kind of in my head about it. 17 00:00:49,159 --> 00:00:51,200 Speaker 1: And I was like, don't be mad, it's gonna be awesome. 18 00:00:51,280 --> 00:00:53,440 Speaker 1: I want him to get cast. It's fine, but it's 19 00:00:53,440 --> 00:00:55,800 Speaker 1: okay if you don't know, it's okay whatever. And then 20 00:00:55,840 --> 00:00:57,880 Speaker 1: I got home and you were like, so I got 21 00:00:57,920 --> 00:00:59,560 Speaker 1: the part, and I was like, all right, I got 22 00:00:59,560 --> 00:01:04,160 Speaker 1: the parts. I know both a little a little nervous 23 00:01:04,160 --> 00:01:06,480 Speaker 1: about telling each other make you feel something. And in 24 00:01:06,560 --> 00:01:09,400 Speaker 1: fact I got a call back. You didn't even have 25 00:01:09,440 --> 00:01:11,360 Speaker 1: to do a callback. You've got cast right off your 26 00:01:11,360 --> 00:01:14,520 Speaker 1: first audition. Anyway, we'll tell you more about that as 27 00:01:14,560 --> 00:01:17,640 Speaker 1: it develops when we when we know more, um, but 28 00:01:17,720 --> 00:01:20,119 Speaker 1: we have been recording that this week. It's been really fun. Yeah, 29 00:01:20,200 --> 00:01:23,040 Speaker 1: I'm so excited to be doing some like performance. Were 30 00:01:23,560 --> 00:01:25,959 Speaker 1: not that we're not performing for you all all the 31 00:01:26,000 --> 00:01:28,560 Speaker 1: time right here on this show, and we're going to 32 00:01:28,640 --> 00:01:32,880 Speaker 1: perform for you today. A fascinating story. It kind of 33 00:01:33,000 --> 00:01:35,000 Speaker 1: it's one of those stories that just grew out of 34 00:01:35,080 --> 00:01:40,600 Speaker 1: something else, right, because today's story starts off with Stephen J. Townsend, 35 00:01:40,920 --> 00:01:43,800 Speaker 1: who was a retired general from the U. S. Army, 36 00:01:43,880 --> 00:01:46,320 Speaker 1: and he was born in Germany, but he was adopted 37 00:01:46,440 --> 00:01:48,800 Speaker 1: at a young age, and when he found out who 38 00:01:48,920 --> 00:01:52,560 Speaker 1: his biological parents were, it turned out that he'd been 39 00:01:52,640 --> 00:01:55,360 Speaker 1: lied to for most of his life and this totally 40 00:01:55,360 --> 00:01:57,840 Speaker 1: shook his beliefs. It opened him up to a whole 41 00:01:57,840 --> 00:02:00,920 Speaker 1: new perspective on the world, and it turns into a 42 00:02:00,960 --> 00:02:03,920 Speaker 1: really interesting story about adoption and and sort of where 43 00:02:03,920 --> 00:02:06,520 Speaker 1: your parents came from and all this stuff. But we 44 00:02:06,640 --> 00:02:11,080 Speaker 1: gotta go way beyond that, because somehow General Townsend has 45 00:02:11,160 --> 00:02:17,120 Speaker 1: also become the poster boy for romance scams. Oh so 46 00:02:17,200 --> 00:02:20,040 Speaker 1: we're gonna talk about how those work, who falls for them, 47 00:02:20,520 --> 00:02:23,679 Speaker 1: and just how much money they're worth. So I say 48 00:02:23,680 --> 00:02:27,240 Speaker 1: we get into this general's life and the general calamity 49 00:02:27,280 --> 00:02:30,840 Speaker 1: that followed after him. There yet, lurk, hey their French. 50 00:02:31,000 --> 00:02:34,800 Speaker 1: Come listen, Well, Elia and Diana got some stories to tell. 51 00:02:35,160 --> 00:02:38,480 Speaker 1: There's no match making, no romantic tips. It's just about 52 00:02:38,560 --> 00:02:41,960 Speaker 1: ridiculous relationships. A lover, it might be any type of 53 00:02:42,000 --> 00:02:45,480 Speaker 1: person at all, and abstract cons at are a concrete wall. 54 00:02:45,800 --> 00:02:50,160 Speaker 1: But if there's a story, were the Second Glance Ridiculous 55 00:02:50,320 --> 00:02:54,880 Speaker 1: Romance a production of I Heart Radio. So our story 56 00:02:54,919 --> 00:02:57,920 Speaker 1: today starts out with a little bit of a bonus romance. 57 00:02:58,840 --> 00:03:02,480 Speaker 1: Stephen J. Towns And was born in Scheinfeld, Germany, in 58 00:03:02,600 --> 00:03:05,480 Speaker 1: nineteen fifty nine, and he was soon adopted by an 59 00:03:05,520 --> 00:03:08,960 Speaker 1: American military family had been stationed there. He grew up 60 00:03:09,040 --> 00:03:12,960 Speaker 1: in Griffin, Georgia, just up the road here, and he 61 00:03:13,000 --> 00:03:15,880 Speaker 1: received a bachelor's degree of psychology from the North Georgia 62 00:03:15,880 --> 00:03:18,560 Speaker 1: College in eighty two. While he was in school, he 63 00:03:18,600 --> 00:03:21,720 Speaker 1: was commissioned as a second lieutenant the Army Infantry. Eventually, 64 00:03:21,760 --> 00:03:24,680 Speaker 1: this guy went on to get master's degrees in military 65 00:03:24,800 --> 00:03:28,360 Speaker 1: arts and sciences as well as strategic studies, so really 66 00:03:28,400 --> 00:03:32,040 Speaker 1: just shot up through the military ranks very quickly. According 67 00:03:32,080 --> 00:03:35,440 Speaker 1: to The Washington Post, Townsend learned from his mother when 68 00:03:35,440 --> 00:03:38,480 Speaker 1: he was very young that he was adopted, and his 69 00:03:38,560 --> 00:03:41,200 Speaker 1: mother told him exactly what the German authorities told her. 70 00:03:41,680 --> 00:03:45,880 Speaker 1: His biological parents were a German woman and an Italian 71 00:03:46,000 --> 00:03:51,320 Speaker 1: immigrant to Germany. Ah, the access powers coming together. I'm 72 00:03:51,360 --> 00:03:54,760 Speaker 1: just yeah, nothing in nineteen fifty nine like find another 73 00:03:54,800 --> 00:04:01,680 Speaker 1: air product of Germany and Italy working together. But when 74 00:04:01,720 --> 00:04:04,559 Speaker 1: Townsend was just thirty one years old, he was contacted 75 00:04:04,560 --> 00:04:07,440 Speaker 1: by his biological German mother, who invited him to come 76 00:04:07,520 --> 00:04:10,680 Speaker 1: meet her, and when they spoke, she told him the 77 00:04:10,840 --> 00:04:15,160 Speaker 1: truth quote, your father was a lovely Afghan man I 78 00:04:15,280 --> 00:04:20,359 Speaker 1: knew at university whoa so not Italian. After all, the 79 00:04:20,400 --> 00:04:23,359 Speaker 1: father had studied in Germany, where his family eventually fled 80 00:04:23,400 --> 00:04:27,200 Speaker 1: when the Soviets invaded Afghanistan in the early nineteen eighties, 81 00:04:28,000 --> 00:04:31,440 Speaker 1: and eventually they ended up in the United States. Now, 82 00:04:31,520 --> 00:04:35,279 Speaker 1: his biological father had died years earlier. But he was 83 00:04:35,320 --> 00:04:37,840 Speaker 1: a doctor who had lived in Fairfax, Virginia, so he 84 00:04:37,880 --> 00:04:40,320 Speaker 1: really wasn't that far away. Yeah, he'd been close the 85 00:04:40,320 --> 00:04:42,520 Speaker 1: whole time. He had no idea a few states away. 86 00:04:42,800 --> 00:04:46,960 Speaker 1: How interesting too, for that the German authorities like basically 87 00:04:47,000 --> 00:04:49,120 Speaker 1: were I don't know if they just checked the wrong 88 00:04:49,160 --> 00:04:52,000 Speaker 1: box or if they were deliberately like, don't tell anyone 89 00:04:52,160 --> 00:04:56,080 Speaker 1: his father was from Afghanistan get adopted, Like, I don't 90 00:04:56,080 --> 00:04:59,560 Speaker 1: know it was racism, you know, maybe or yeah, maybe 91 00:04:59,560 --> 00:05:03,599 Speaker 1: they just whatever. We don't know right right, I don't 92 00:05:03,600 --> 00:05:06,560 Speaker 1: know very Joerman. To me, I feel like they're very 93 00:05:06,640 --> 00:05:12,080 Speaker 1: ordered right right, the information right, But who knows? That 94 00:05:12,200 --> 00:05:15,360 Speaker 1: is kind of a weird lie if it is a lie. Now, 95 00:05:15,400 --> 00:05:18,840 Speaker 1: although his first father had passed, he still had plenty 96 00:05:18,880 --> 00:05:22,120 Speaker 1: of family in northern Virginia. And one of these guys, 97 00:05:22,120 --> 00:05:26,360 Speaker 1: Stephen Townsend said, was his uncle Nasir Shan sub who 98 00:05:26,760 --> 00:05:29,240 Speaker 1: is a businessman and a writer. And this guy once 99 00:05:29,320 --> 00:05:33,080 Speaker 1: had dinner with Osama bin Lad and called him quote 100 00:05:33,240 --> 00:05:36,719 Speaker 1: incredibly arrogant in an interview with an Ivy business journal. 101 00:05:37,279 --> 00:05:42,040 Speaker 1: It sounds like an understatement that this Osama bin Lad 102 00:05:42,200 --> 00:05:44,920 Speaker 1: guy thinks pretty highly of himself. It's almost like he 103 00:05:44,960 --> 00:05:49,039 Speaker 1: wants to be in Chargers Townsend also has several cousins 104 00:05:49,040 --> 00:05:51,680 Speaker 1: in the northeast US as well. He said, all these 105 00:05:51,720 --> 00:05:55,240 Speaker 1: Afghan immigrants in the US welcomed him quote with just 106 00:05:55,440 --> 00:06:00,120 Speaker 1: open arms and called him my long lost nephew. I 107 00:06:00,240 --> 00:06:03,039 Speaker 1: love that. I don't know if I have this in 108 00:06:03,120 --> 00:06:05,279 Speaker 1: my family where it's just like if you find out 109 00:06:05,360 --> 00:06:07,920 Speaker 1: someone is related to you, boom they are. They might 110 00:06:07,960 --> 00:06:11,840 Speaker 1: as well be your brother. Your family has that because 111 00:06:11,839 --> 00:06:15,520 Speaker 1: they're very Southern. You've got that like, oh you're you're 112 00:06:15,960 --> 00:06:18,680 Speaker 1: you know from such and such, fifteen time for moves 113 00:06:18,680 --> 00:06:20,880 Speaker 1: related to my blood, Well, you got a place to 114 00:06:20,880 --> 00:06:23,880 Speaker 1: stay anytime you want a little bit, I will say 115 00:06:24,000 --> 00:06:26,479 Speaker 1: there is um. I don't know. I think there's a 116 00:06:26,520 --> 00:06:29,640 Speaker 1: little bit of like, of course you must be given 117 00:06:29,640 --> 00:06:33,800 Speaker 1: a chance if you're related, unlike unrelated people who are 118 00:06:33,920 --> 00:06:36,680 Speaker 1: don't have to be getting a chance. But it doesn't 119 00:06:36,720 --> 00:06:40,800 Speaker 1: it's not like an immediate in like we're totally all 120 00:06:40,800 --> 00:06:43,960 Speaker 1: about you. Okay, So I don't know's I'm gonna ask 121 00:06:44,080 --> 00:06:46,040 Speaker 1: next time I'm in Kentucky. I've like, listen, I want 122 00:06:46,040 --> 00:06:49,400 Speaker 1: to know how far this family feeling goes. I feel 123 00:06:49,440 --> 00:06:52,520 Speaker 1: like my family. It's we're all very close. But also 124 00:06:52,600 --> 00:06:55,000 Speaker 1: if someone walked up and was like, hey, I'm a 125 00:06:55,040 --> 00:06:59,720 Speaker 1: Banks relative, your immediate reaction be like, oh no, that 126 00:07:00,200 --> 00:07:03,920 Speaker 1: was just got here. Oh. So Townsend meets his Afghan 127 00:07:03,920 --> 00:07:07,760 Speaker 1: family all over the northeastern United States, and after meeting them, 128 00:07:07,839 --> 00:07:12,000 Speaker 1: he started really wanting to visit Afghanistan. Now, eventually he 129 00:07:12,080 --> 00:07:15,679 Speaker 1: did get to, but he said in an interview quote, 130 00:07:16,120 --> 00:07:18,360 Speaker 1: I didn't think I would do it with a rifle 131 00:07:18,400 --> 00:07:22,920 Speaker 1: in my hand. Yeah. For years, his Afghan family argued 132 00:07:22,960 --> 00:07:25,640 Speaker 1: with Stephen Townsend about whether or not the US should 133 00:07:25,680 --> 00:07:29,680 Speaker 1: intervene in Afghanistan, and they felt that the US did 134 00:07:29,760 --> 00:07:32,520 Speaker 1: need to be more involved, but Townsend did not agree. 135 00:07:32,960 --> 00:07:35,000 Speaker 1: He said quote, I used to argue that there was 136 00:07:35,040 --> 00:07:38,440 Speaker 1: no compelling interest for the US, right, which we've heard 137 00:07:38,760 --> 00:07:41,080 Speaker 1: many times about countries where people have said, you know, 138 00:07:41,080 --> 00:07:43,880 Speaker 1: the US could really lend a hand here, and you 139 00:07:43,960 --> 00:07:45,880 Speaker 1: hear from US like, well, yeah, what's in it for us? 140 00:07:46,400 --> 00:07:49,840 Speaker 1: From me? I know, which you know it's cold hearted, 141 00:07:49,880 --> 00:07:51,600 Speaker 1: but it is. You know, you kind of do have 142 00:07:51,720 --> 00:07:53,400 Speaker 1: to be like, well, what's the hook? How do I 143 00:07:53,440 --> 00:07:55,400 Speaker 1: get other people to want me to do this? How 144 00:07:55,400 --> 00:07:57,080 Speaker 1: do I sell it? You know well. And the other 145 00:07:57,120 --> 00:07:58,480 Speaker 1: side of it too is I think a lot of 146 00:07:58,480 --> 00:08:01,440 Speaker 1: people as many places in the world, maybe not as 147 00:08:01,520 --> 00:08:04,040 Speaker 1: much as they used to, have sort of a magical 148 00:08:04,320 --> 00:08:06,920 Speaker 1: idea of what the US is and what they would 149 00:08:06,960 --> 00:08:09,320 Speaker 1: do if they came here. And then the then the 150 00:08:09,400 --> 00:08:11,240 Speaker 1: U S shows up and they're like, oh, this isn't 151 00:08:11,280 --> 00:08:16,400 Speaker 1: what I was wanting. We do what we do, yeah, constantly, 152 00:08:16,520 --> 00:08:19,760 Speaker 1: because we have such a for so long, especially we 153 00:08:19,760 --> 00:08:22,800 Speaker 1: we projected such a global image of when we show up, 154 00:08:22,800 --> 00:08:26,360 Speaker 1: we just make everything better. And so if you didn't know, 155 00:08:26,560 --> 00:08:28,160 Speaker 1: you might be like, God, I wish the U. S 156 00:08:28,200 --> 00:08:30,240 Speaker 1: Would come here and get us out of this mess 157 00:08:30,280 --> 00:08:32,600 Speaker 1: we're in, right, And then we show up and we don't. 158 00:08:33,200 --> 00:08:34,920 Speaker 1: Maybe we do get you out of the mess you're in, 159 00:08:35,360 --> 00:08:38,480 Speaker 1: and we give you a few new mess and then 160 00:08:40,559 --> 00:08:42,960 Speaker 1: it's kind of like in good Place when Jason's like, 161 00:08:43,360 --> 00:08:46,240 Speaker 1: whenever I have a problem, I just throw a Molotov 162 00:08:46,400 --> 00:08:51,240 Speaker 1: cocktail and boom, I have a new problem. But in 163 00:08:51,320 --> 00:08:55,720 Speaker 1: March of two two, Stephen Townsen said that September eleven, 164 00:08:55,840 --> 00:09:00,079 Speaker 1: six months earlier, quote provided that compelling interest which is it? 165 00:09:00,800 --> 00:09:04,800 Speaker 1: And changed his mind. Right now, twenty years later, there's 166 00:09:04,840 --> 00:09:09,520 Speaker 1: no update on that opinion right after we've now seen 167 00:09:09,520 --> 00:09:12,360 Speaker 1: how it all played out right in that country. But 168 00:09:12,360 --> 00:09:14,480 Speaker 1: but that's what he thought at the time. And of course, 169 00:09:14,480 --> 00:09:16,719 Speaker 1: so he did end up back in Afghanistan with a 170 00:09:16,840 --> 00:09:19,920 Speaker 1: rifle in his hand. Washington Post said in their article 171 00:09:19,960 --> 00:09:23,600 Speaker 1: in two thousand to quote, with five hundred heavily armed 172 00:09:23,600 --> 00:09:28,319 Speaker 1: men under his command, Townsend, were he an independent entity, 173 00:09:28,480 --> 00:09:31,280 Speaker 1: would have ranked as a fairly important warlord on the 174 00:09:31,320 --> 00:09:35,280 Speaker 1: Afghan sea. So he just had so many guys under 175 00:09:35,400 --> 00:09:39,000 Speaker 1: him that he's basically like, you know, this superpower of 176 00:09:39,080 --> 00:09:43,200 Speaker 1: his in his own right Afghanistan. But his heritage worked 177 00:09:43,280 --> 00:09:46,240 Speaker 1: mostly in his favor. According to the Daily Press, they 178 00:09:46,280 --> 00:09:49,960 Speaker 1: say that during his time there, some Afghan army leaders 179 00:09:50,000 --> 00:09:54,240 Speaker 1: referred to him affectionately as cousin. It's the same thing 180 00:09:54,600 --> 00:09:57,199 Speaker 1: your family, Yeah, I just one of us. Your biological 181 00:09:57,280 --> 00:10:00,000 Speaker 1: dad was an Afghan person, absolutely, or one of them. 182 00:10:00,400 --> 00:10:04,440 Speaker 1: So Stephen Townsend is an interesting story of adoption and 183 00:10:04,480 --> 00:10:07,439 Speaker 1: how discovery of your heritage can lead to complex feelings 184 00:10:07,440 --> 00:10:10,760 Speaker 1: in relationship. Townsend is someone who is raised in a 185 00:10:10,760 --> 00:10:14,880 Speaker 1: white military family. He has all the associated privileges growing 186 00:10:14,960 --> 00:10:18,440 Speaker 1: up um For example, how having a father who retired 187 00:10:18,480 --> 00:10:21,600 Speaker 1: as a master's sergeant certainly did not hurt Steven's rapid 188 00:10:21,679 --> 00:10:24,520 Speaker 1: rise through the rank. In an article in The New 189 00:10:24,600 --> 00:10:29,640 Speaker 1: York Times about minority leadership being disproportionately small in the U. S. Military, 190 00:10:29,760 --> 00:10:33,560 Speaker 1: they write, quote, the Army has sometimes counted Stephen Townsend 191 00:10:33,720 --> 00:10:38,480 Speaker 1: as a minority commander, so it's implied that someone who 192 00:10:38,760 --> 00:10:41,800 Speaker 1: was of full Afghan heritage might have a much harder 193 00:10:41,880 --> 00:10:45,600 Speaker 1: time advancing in the military. Meanwhile, the Army is propping 194 00:10:45,679 --> 00:10:49,800 Speaker 1: up Townsend as a token of diversity. So it's kind 195 00:10:49,840 --> 00:10:53,200 Speaker 1: of like, oh good, we have this extremely white presenting 196 00:10:53,280 --> 00:10:58,600 Speaker 1: person who we can say, Oh good, you're you're our guy. 197 00:10:58,679 --> 00:11:02,240 Speaker 1: We're doing great. Oh here ei yeah, right right, and 198 00:11:02,400 --> 00:11:05,240 Speaker 1: uh and he is I mean, like Stephen Townsend looks 199 00:11:05,320 --> 00:11:08,000 Speaker 1: like I mean, he's got a tan. You know, you 200 00:11:08,200 --> 00:11:12,240 Speaker 1: would believe that he's maybe part Mediterranean and part German, right, 201 00:11:12,320 --> 00:11:15,160 Speaker 1: and that that was his believed heritage for most of 202 00:11:15,160 --> 00:11:17,440 Speaker 1: his life until he was thirty one. Right, So yeah, 203 00:11:17,520 --> 00:11:23,280 Speaker 1: you can see where racism in the military objectively exists, 204 00:11:23,640 --> 00:11:26,960 Speaker 1: was not working against him throughout his life as he 205 00:11:27,160 --> 00:11:30,120 Speaker 1: worked up and then, like you said, once it was 206 00:11:30,160 --> 00:11:34,520 Speaker 1: a good thing. Diverse. They're like, oh, man, look at 207 00:11:34,520 --> 00:11:37,480 Speaker 1: this guy we got Yeah, we're crushing it over here. 208 00:11:37,559 --> 00:11:41,559 Speaker 1: Yeah yeah, but it is it's such an interesting conversation 209 00:11:41,600 --> 00:11:46,240 Speaker 1: around race, um and ethnicity in that way, because we 210 00:11:46,240 --> 00:11:49,400 Speaker 1: were talking about this with I believe it was Portuguese 211 00:11:49,520 --> 00:11:54,280 Speaker 1: or Venezuelan people who are often very white their blonde hair, 212 00:11:54,320 --> 00:11:57,760 Speaker 1: blue eyes, um so, but they come to our country 213 00:11:57,800 --> 00:12:00,080 Speaker 1: and they're kind of considered people of color because of 214 00:12:00,160 --> 00:12:04,439 Speaker 1: different ethnicity, not white Caucasian, you know. So it's a 215 00:12:04,520 --> 00:12:07,120 Speaker 1: question of, well, you're not presenting as a person of color. 216 00:12:07,160 --> 00:12:09,440 Speaker 1: It's your skin color is not causing a problem for 217 00:12:09,480 --> 00:12:11,240 Speaker 1: you every day when you're out there in the street 218 00:12:11,320 --> 00:12:14,000 Speaker 1: just walking around me and yourself in the same way 219 00:12:14,080 --> 00:12:16,240 Speaker 1: that it does for someone who has a darker skin color. 220 00:12:17,080 --> 00:12:20,920 Speaker 1: Um So. On the other hand, you're still counted with 221 00:12:21,080 --> 00:12:23,440 Speaker 1: a certain voting block. You're still you know, at least 222 00:12:23,440 --> 00:12:26,120 Speaker 1: in this country, there are still some things that apply. 223 00:12:26,320 --> 00:12:30,439 Speaker 1: So it's just an interesting kind of conversation, interesting ongoing conversation, 224 00:12:30,559 --> 00:12:32,559 Speaker 1: you could say, And where just a couple of black 225 00:12:32,600 --> 00:12:35,160 Speaker 1: people talking about this. So I know, what do we know? Right? 226 00:12:35,280 --> 00:12:37,280 Speaker 1: I can't I mean, I am half Italian and I 227 00:12:37,280 --> 00:12:39,439 Speaker 1: can't get a tan here's to her. That's so true, 228 00:12:39,720 --> 00:12:43,160 Speaker 1: the paleless Italian. Ever, I'm Scottish, so I was never 229 00:12:43,200 --> 00:12:44,720 Speaker 1: meant to have a tan. My skin is like you 230 00:12:44,720 --> 00:12:47,200 Speaker 1: should be shrouded in fog at all times. I don't 231 00:12:47,280 --> 00:12:50,600 Speaker 1: understand what you're doing in Atlanta, Georgia. I always complained, 232 00:12:50,679 --> 00:12:52,400 Speaker 1: because I don't know if I've said this on the 233 00:12:52,400 --> 00:12:55,280 Speaker 1: show before, but my mom's side of the family all 234 00:12:55,640 --> 00:12:59,959 Speaker 1: very tall, pasty Irish family and my dad's side of 235 00:13:00,000 --> 00:13:03,840 Speaker 1: a family all very short, olive skinned Italian family members. 236 00:13:04,559 --> 00:13:07,240 Speaker 1: And so what do I get? Do I get? Am 237 00:13:07,280 --> 00:13:11,560 Speaker 1: I a tall, Mediterranean, olive skinned person? No? I got 238 00:13:11,640 --> 00:13:16,680 Speaker 1: the short Italian height and the pasty Irish skin. Mmm, tall, 239 00:13:16,920 --> 00:13:24,480 Speaker 1: Mediterranean looking alive. You'd be a very different person probably today, think, 240 00:13:24,559 --> 00:13:27,920 Speaker 1: oh yeah, I would be much more confident, probably a 241 00:13:27,960 --> 00:13:31,679 Speaker 1: big probably a big I don't know, Maybe you'd be 242 00:13:31,679 --> 00:13:39,760 Speaker 1: a little sweete. Yeah. Well. General Stephen Jay Townsend retired 243 00:13:39,800 --> 00:13:43,080 Speaker 1: this summer of two as the commander of the U. 244 00:13:43,200 --> 00:13:46,120 Speaker 1: S Africa Command, according to the New York Times, and 245 00:13:46,200 --> 00:13:49,640 Speaker 1: he was replaced by General Michael E. Langley, who is 246 00:13:49,720 --> 00:13:54,080 Speaker 1: the first black four star general in marine history. Um, 247 00:13:54,280 --> 00:13:56,960 Speaker 1: but look, I know we've been going off about a 248 00:13:56,960 --> 00:13:58,679 Speaker 1: lot of this, but we are not here to get 249 00:13:58,679 --> 00:14:06,160 Speaker 1: into military ranking and the military, who invaded whom, all 250 00:14:06,200 --> 00:14:10,600 Speaker 1: that stuff. The story of General Townsend's birth parents is, 251 00:14:10,960 --> 00:14:13,920 Speaker 1: you know, certainly interesting. I don't know if it's ridiculous, 252 00:14:13,960 --> 00:14:18,360 Speaker 1: But what is ridiculous is the romance scams that have 253 00:14:18,440 --> 00:14:22,400 Speaker 1: followed General Townsend around for years. And we're just gonna 254 00:14:22,440 --> 00:14:24,000 Speaker 1: take a quick break and we'll come back and get 255 00:14:24,040 --> 00:14:31,040 Speaker 1: into all that mess and welcome back to the show, everybody. Well, 256 00:14:31,080 --> 00:14:35,600 Speaker 1: we've heard Stephen Townsend's interesting family background, but I'll bet 257 00:14:35,800 --> 00:14:39,920 Speaker 1: you won't believe this one. A woman in Scotland was 258 00:14:39,960 --> 00:14:44,400 Speaker 1: contacted on Skype by Major Steven Townsend of the U. S. Army, 259 00:14:44,480 --> 00:14:47,080 Speaker 1: who was working in Afghanistan at the time for NATO. 260 00:14:47,720 --> 00:14:50,160 Speaker 1: He told her that his wife had been unfaithful and 261 00:14:50,200 --> 00:14:54,000 Speaker 1: he was now divorced. Not only that, but recently Major 262 00:14:54,040 --> 00:14:57,720 Speaker 1: Townsend had adopted an orphaned Afghan boy whose parents had 263 00:14:57,720 --> 00:15:01,720 Speaker 1: been killed in a bomb blast. That a selfless guy. True, 264 00:15:01,920 --> 00:15:03,840 Speaker 1: although there was a story in the news this week 265 00:15:03,880 --> 00:15:07,280 Speaker 1: that I want to do on the show about a 266 00:15:07,360 --> 00:15:11,520 Speaker 1: white military family who adopted boy I think in Afghanistan, 267 00:15:11,720 --> 00:15:16,960 Speaker 1: very similar story and his family. His actual family is 268 00:15:16,960 --> 00:15:18,720 Speaker 1: now suing to get him back. They said he was 269 00:15:18,760 --> 00:15:22,960 Speaker 1: basically kidnapped. Ye. Interesting, I gotta I gotta look more 270 00:15:23,000 --> 00:15:28,080 Speaker 1: into that. Yeah, anyway, this Scottish woman chatted with General 271 00:15:28,120 --> 00:15:31,240 Speaker 1: Townsend on Skype for a few days, and she started 272 00:15:31,280 --> 00:15:34,400 Speaker 1: to notice that his English wasn't very good, such as, 273 00:15:34,480 --> 00:15:37,440 Speaker 1: for example, when he asked her, quote, what do you 274 00:15:37,520 --> 00:15:42,000 Speaker 1: do to sustain your lifestyle in this economy and this economy? 275 00:15:42,640 --> 00:15:47,560 Speaker 1: Like an AI asked that sustain my lifestyle. It's very 276 00:15:47,720 --> 00:15:50,040 Speaker 1: overly formal. This is why we need to make sure 277 00:15:50,080 --> 00:15:53,560 Speaker 1: we teach grammar in schools. Because they said catch catch scammers. 278 00:15:53,560 --> 00:15:56,200 Speaker 1: Sometimes they don't be know and how to put their 279 00:15:56,240 --> 00:15:59,960 Speaker 1: sentence structure together. So she thought that didn't really sound 280 00:16:00,040 --> 00:16:02,560 Speaker 1: like a major in the U. S. Army, so she 281 00:16:02,680 --> 00:16:05,720 Speaker 1: decided to confront him. She said, yeah, I don't think 282 00:16:05,720 --> 00:16:09,440 Speaker 1: you're the real Major Townsend actually, sir, And then he 283 00:16:09,800 --> 00:16:13,040 Speaker 1: called her on Skype and she heard this guy say 284 00:16:13,120 --> 00:16:15,440 Speaker 1: that basically like, oh, you must be on drugs, lady, 285 00:16:15,600 --> 00:16:19,120 Speaker 1: or smoking something, because I would never pretend to be 286 00:16:19,240 --> 00:16:21,960 Speaker 1: someone else. Well, how dare you imply such a thing. 287 00:16:22,000 --> 00:16:24,480 Speaker 1: I'm a general, but the U. S. Army I don't 288 00:16:24,480 --> 00:16:26,560 Speaker 1: need to pretend to be someone else. That's a red 289 00:16:26,600 --> 00:16:28,720 Speaker 1: flag too. I feel like if if you were really 290 00:16:28,760 --> 00:16:31,480 Speaker 1: not pretending, you'd just be like, oh, I see why 291 00:16:31,520 --> 00:16:34,360 Speaker 1: you would ask. But now it's you know here, I am, 292 00:16:34,400 --> 00:16:37,080 Speaker 1: you know whatever, Like you wouldn't be so immediately like 293 00:16:37,680 --> 00:16:40,880 Speaker 1: offended and like fiery about it. No, Well, her red 294 00:16:40,880 --> 00:16:43,480 Speaker 1: flag meter went off. She hung up on him. He 295 00:16:43,560 --> 00:16:46,120 Speaker 1: called again a few times, but she just ignored them, 296 00:16:46,200 --> 00:16:49,560 Speaker 1: and then on his Skype account, the pictures of General 297 00:16:49,600 --> 00:16:55,200 Speaker 1: Townsend started disappearing. In her post on scammel lot dot com, 298 00:16:55,240 --> 00:16:58,040 Speaker 1: the woman said, quote, as the real major has had 299 00:16:58,080 --> 00:17:01,720 Speaker 1: such a distinguished career, are really don't see him contacting 300 00:17:01,720 --> 00:17:06,080 Speaker 1: a complete stranger on Skype, especially one who lives in Scotland? 301 00:17:06,520 --> 00:17:09,640 Speaker 1: Smart lady. Yeah, Now, for what it's worth, retired General 302 00:17:09,680 --> 00:17:13,640 Speaker 1: Townsend is still married to Melissa Townsend, a nineteen eighty 303 00:17:13,680 --> 00:17:16,520 Speaker 1: three graduate of the Medical College of Georgia. You're doing fine, 304 00:17:16,760 --> 00:17:20,639 Speaker 1: doing great. Obviously this profile was fake. But what's crazy 305 00:17:20,760 --> 00:17:23,240 Speaker 1: is that's not the only time General Townsend has been 306 00:17:23,359 --> 00:17:28,000 Speaker 1: used by scammers in romance schemes. In fact, Popular Mechanics 307 00:17:28,040 --> 00:17:32,320 Speaker 1: reported in that there are so many fake profiles claiming 308 00:17:32,359 --> 00:17:35,359 Speaker 1: to be General Townsend that the US Army had to 309 00:17:35,400 --> 00:17:39,639 Speaker 1: put out a statement reading quote General Stephen J. Townsend 310 00:17:39,760 --> 00:17:44,480 Speaker 1: is not on Facebook, Twitter, Skype, Instagram, Google Hangout, dating sites, 311 00:17:44,680 --> 00:17:49,480 Speaker 1: chat rooms, etcetera. These impostors attempt to harass and scam individuals. 312 00:17:49,800 --> 00:17:52,280 Speaker 1: I gotta wonder until I get a list of all websites. 313 00:17:53,960 --> 00:17:55,800 Speaker 1: I gotta wonder if that's the first time the US 314 00:17:55,880 --> 00:17:58,760 Speaker 1: Army has ever had a tweet about Google Hangouts and 315 00:17:58,920 --> 00:18:01,639 Speaker 1: dating sites Google Hangouts. It was like Google or for 316 00:18:01,720 --> 00:18:06,960 Speaker 1: Google hang Someone's using us, Someone's finally using us out 317 00:18:06,960 --> 00:18:11,640 Speaker 1: of GARBT scammers. And the comments on that statement are 318 00:18:11,960 --> 00:18:16,600 Speaker 1: full of people posting screenshots of fake messages they've received 319 00:18:16,680 --> 00:18:21,679 Speaker 1: from fake accounts using Townsend's name and picture. That is 320 00:18:21,720 --> 00:18:24,440 Speaker 1: so crazy, it's wild. Like one of them is from 321 00:18:24,480 --> 00:18:27,960 Speaker 1: a Stephen J. Townsend on Twitter and it just says, quote, 322 00:18:28,520 --> 00:18:31,800 Speaker 1: I would like to use this opportunity to introduce myself 323 00:18:31,800 --> 00:18:35,840 Speaker 1: to you. I am General Stephen Townsend from Griffith, Georgia, 324 00:18:35,960 --> 00:18:39,280 Speaker 1: U s A. I am presently working in Aleppo, Syria 325 00:18:39,400 --> 00:18:42,880 Speaker 1: for the peacekeeping mission with the U N Government. And 326 00:18:43,000 --> 00:18:45,359 Speaker 1: you what may I call you? And where are you? 327 00:18:45,440 --> 00:18:54,240 Speaker 1: From UH also to say, Griffith Georgia, USA, proves to 328 00:18:54,240 --> 00:18:56,560 Speaker 1: me that you're not from the USA. Everyone from the 329 00:18:56,640 --> 00:19:01,399 Speaker 1: USA knows there's no other country specifying had to clarify. 330 00:19:01,520 --> 00:19:05,240 Speaker 1: We know you're already thinking we're her American. As Griffith 331 00:19:05,680 --> 00:19:10,119 Speaker 1: Griffin ethan, he got a lot of things wrong. Another 332 00:19:10,160 --> 00:19:12,959 Speaker 1: one is a woman named Lisa Lee who said General 333 00:19:13,040 --> 00:19:15,760 Speaker 1: Townsend told her that his wife died of cancer four 334 00:19:15,840 --> 00:19:19,200 Speaker 1: years ago, and quote, he needs an Amazon gift card 335 00:19:19,280 --> 00:19:21,480 Speaker 1: so he can call home to the States and send 336 00:19:21,560 --> 00:19:24,679 Speaker 1: his fourteen year old son some money. And then she 337 00:19:24,840 --> 00:19:28,520 Speaker 1: ends there with he loves me. How you can tell, 338 00:19:29,040 --> 00:19:31,159 Speaker 1: let's say, Amazon gift card, he's been swept off his 339 00:19:31,240 --> 00:19:35,320 Speaker 1: feet by my beauty. How about this one? On Facebook Messenger, 340 00:19:35,400 --> 00:19:39,560 Speaker 1: someone got this message saying, quote, hello charming beauty, the 341 00:19:39,680 --> 00:19:42,920 Speaker 1: happy New Year. I hope you're doing well over there. 342 00:19:43,359 --> 00:19:47,159 Speaker 1: I was so attracted to your beautiful profile when I 343 00:19:47,200 --> 00:19:50,240 Speaker 1: came across. If you don't mind, I would love to 344 00:19:50,280 --> 00:19:52,640 Speaker 1: be your friend, but I don't want to barge into 345 00:19:52,680 --> 00:19:56,159 Speaker 1: your privacy by sending you a friend request. Kindly send 346 00:19:56,200 --> 00:19:58,640 Speaker 1: me a friend request so we can talk and get 347 00:19:58,680 --> 00:20:02,720 Speaker 1: to know ourselves better. A couple of questions, okay, many one. 348 00:20:02,840 --> 00:20:04,760 Speaker 1: I see this a few times where they say I 349 00:20:04,760 --> 00:20:06,800 Speaker 1: don't want to send you a request, you send me one. 350 00:20:07,080 --> 00:20:08,960 Speaker 1: I don't know if that's supposed to make it more believable, 351 00:20:09,040 --> 00:20:12,119 Speaker 1: or if they can't send friends. Maybe their settings are 352 00:20:12,160 --> 00:20:14,240 Speaker 1: set where only friends of friends can friend them or 353 00:20:14,240 --> 00:20:18,639 Speaker 1: something like that. Maybe, or um, I think there is 354 00:20:18,680 --> 00:20:21,040 Speaker 1: a thing where you can't, like they don't let you 355 00:20:21,119 --> 00:20:25,320 Speaker 1: send out too many friend requests the same day, tame accounts, 356 00:20:25,320 --> 00:20:28,840 Speaker 1: like because of scammers or maybe even bots trying to 357 00:20:29,040 --> 00:20:32,280 Speaker 1: make your account really inflated out of nowhere. So maybe 358 00:20:32,280 --> 00:20:33,840 Speaker 1: there's something like that where they're just like, I've I've 359 00:20:33,920 --> 00:20:36,159 Speaker 1: hit my moment. Now I have to ask you to 360 00:20:36,240 --> 00:20:40,400 Speaker 1: send me a request. Lisaly came back into the comments 361 00:20:40,480 --> 00:20:44,320 Speaker 1: later and followed up with quote, he got mean and ugly, 362 00:20:44,760 --> 00:20:48,040 Speaker 1: told me I didn't care, harassed me for two days 363 00:20:48,080 --> 00:20:51,520 Speaker 1: for a fifty Amazon card, sent me all these pictures 364 00:20:51,520 --> 00:20:57,560 Speaker 1: of men being shot and dying. Good storyteller. Hello, where's 365 00:20:57,560 --> 00:21:00,680 Speaker 1: he getting pictures of people? Get? Are they like Google? 366 00:21:00,840 --> 00:21:02,320 Speaker 1: I don't know where he's from. Maybe it's a real 367 00:21:02,400 --> 00:21:04,160 Speaker 1: crazy place, but that's weird too to be like, no, 368 00:21:04,240 --> 00:21:06,520 Speaker 1: I really am a general Army. Look, there's all these 369 00:21:06,560 --> 00:21:08,840 Speaker 1: dead bodies around me. I'll prove it. Didn't you say 370 00:21:08,880 --> 00:21:14,320 Speaker 1: it's a peacekeeping mission? We like, there's one way to 371 00:21:14,400 --> 00:21:17,440 Speaker 1: keep the peace. I'll tell you what. Well, just this week, 372 00:21:17,640 --> 00:21:22,119 Speaker 1: on December twelve, Daily Beast put out an article talking 373 00:21:22,119 --> 00:21:26,280 Speaker 1: about a recently unsealed criminal complaint in Salt Lake City. 374 00:21:26,560 --> 00:21:30,080 Speaker 1: A woman named Nancy was contacted by General Townsend in 375 00:21:30,160 --> 00:21:33,800 Speaker 1: twenty nineteen on Facebook. She was a seventy four year 376 00:21:33,800 --> 00:21:37,120 Speaker 1: old widow and she'd never heard of this guy, General Townsend, 377 00:21:37,560 --> 00:21:41,040 Speaker 1: but he told her that quote, his portfolio had been 378 00:21:41,080 --> 00:21:45,280 Speaker 1: held up by customs officials demanding large fees to release it. 379 00:21:45,560 --> 00:21:49,480 Speaker 1: Could she help? And then he said her photos, saying 380 00:21:49,640 --> 00:21:54,119 Speaker 1: quote that's me and that's my passport, So I'm legit. 381 00:21:55,000 --> 00:21:59,040 Speaker 1: What customs officials are holding up stuff for large blackmail fees? 382 00:21:59,119 --> 00:22:02,160 Speaker 1: That seems like not thing. Well. Fortunately this woman must 383 00:22:02,160 --> 00:22:05,200 Speaker 1: have had people telling HERLN Okay, this sounds crazy, don't 384 00:22:05,200 --> 00:22:09,600 Speaker 1: trust this message, because later messages from him said quote, 385 00:22:09,840 --> 00:22:12,280 Speaker 1: it hurts me so much that you were letting people 386 00:22:12,400 --> 00:22:14,960 Speaker 1: just spoil your mind towards me, and then you keep 387 00:22:15,040 --> 00:22:18,560 Speaker 1: hurting me. He said, quote I have never loved any 388 00:22:18,600 --> 00:22:20,879 Speaker 1: woman like I love you, but you have hurt me 389 00:22:20,960 --> 00:22:24,320 Speaker 1: so deeply. You are making me sad. God knows my 390 00:22:24,400 --> 00:22:26,800 Speaker 1: heart and he knows that I will never do anything 391 00:22:26,840 --> 00:22:29,359 Speaker 1: to hurt you, but you have hurt me so much. 392 00:22:29,560 --> 00:22:35,240 Speaker 1: Are you going to help me claim my portfolio or not? Nancy? 393 00:22:35,400 --> 00:22:37,720 Speaker 1: I know, right? Also, like, how do you? I would 394 00:22:37,760 --> 00:22:40,679 Speaker 1: be so suspicious? And I know we've even done stories 395 00:22:40,760 --> 00:22:43,080 Speaker 1: where people are like I was fully on board the 396 00:22:43,119 --> 00:22:46,720 Speaker 1: moment I met this person, But I find that suspicious 397 00:22:46,760 --> 00:22:49,720 Speaker 1: to be, Like, we haven't even spoken. You found my 398 00:22:49,880 --> 00:22:52,200 Speaker 1: picture online, and now you're telling me you've never loved 399 00:22:52,200 --> 00:22:54,680 Speaker 1: anybody like this. I don't know, but I guess it's 400 00:22:54,680 --> 00:22:56,840 Speaker 1: like a bomb to the heart. Yeah, and we'll we'll 401 00:22:56,880 --> 00:22:58,720 Speaker 1: get into that in the third part. We talk about 402 00:22:58,760 --> 00:23:02,000 Speaker 1: how people fall for these it right, they are good 403 00:23:02,040 --> 00:23:04,600 Speaker 1: at it. But whatever warnings she got must have come 404 00:23:04,680 --> 00:23:07,159 Speaker 1: too late, because unfortunately she had already sent him a 405 00:23:07,160 --> 00:23:09,639 Speaker 1: ton of money. Oh no, he had told her to 406 00:23:09,680 --> 00:23:12,280 Speaker 1: send checks. And they went to a group of men 407 00:23:12,440 --> 00:23:16,280 Speaker 1: in Vineyard, Utah, and they all in all totaled over 408 00:23:16,359 --> 00:23:20,000 Speaker 1: a hundred and forty thousand dollars, not from a seventy 409 00:23:20,040 --> 00:23:22,080 Speaker 1: four year old woman. You know, she can't afford to 410 00:23:22,080 --> 00:23:24,760 Speaker 1: lose that. Now, the men who got them would keep 411 00:23:24,800 --> 00:23:26,679 Speaker 1: some of the money and then they transferred some more 412 00:23:26,680 --> 00:23:30,400 Speaker 1: of it to Nigerian bank accounts. Daily Beast reports that 413 00:23:30,640 --> 00:23:33,439 Speaker 1: the two men are now in federal prison and a 414 00:23:33,640 --> 00:23:36,880 Speaker 1: third was ordered to pay eight point four million dollars 415 00:23:36,920 --> 00:23:40,720 Speaker 1: in restitution to his various victims. And this guy also 416 00:23:40,800 --> 00:23:44,240 Speaker 1: had a two million dollar mansion in Houston, Texas that 417 00:23:44,320 --> 00:23:47,560 Speaker 1: was seized, and as of this week, his attorney told 418 00:23:47,640 --> 00:23:50,680 Speaker 1: Daily Beast that he still owes the government seven point 419 00:23:50,800 --> 00:23:54,600 Speaker 1: two million dollars. Jeez. He's like, well, if you don't 420 00:23:54,680 --> 00:23:58,119 Speaker 1: let me scam anybody, I can't pay you back. A 421 00:23:58,280 --> 00:24:02,240 Speaker 1: second widow was contacted by the men, again posing his townsend, 422 00:24:02,600 --> 00:24:05,800 Speaker 1: telling her that he was stuck in Syria and quote 423 00:24:05,880 --> 00:24:10,000 Speaker 1: couldn't get military transport out. He needed fifty grand to 424 00:24:10,080 --> 00:24:12,359 Speaker 1: fly out on a jet that was specially equipped with 425 00:24:12,400 --> 00:24:16,440 Speaker 1: missile detection or he wouldn't make it a top gun 426 00:24:16,520 --> 00:24:18,880 Speaker 1: three for real. It's she's like, oh, this is my time. 427 00:24:19,880 --> 00:24:22,000 Speaker 1: I always knew that's gonna be part of it too, 428 00:24:22,080 --> 00:24:23,919 Speaker 1: Like make you feel like a hero for saving this 429 00:24:24,040 --> 00:24:27,440 Speaker 1: army General that's true. That's very true. These guys didn't 430 00:24:27,440 --> 00:24:30,600 Speaker 1: only pose as Townsend. They also pretended to be an 431 00:24:30,600 --> 00:24:34,640 Speaker 1: oil engineer in Oman, a wealthy Texan trapped under house 432 00:24:34,760 --> 00:24:38,159 Speaker 1: arrest in Sweden, and a businessman in Turkey on a 433 00:24:38,200 --> 00:24:41,080 Speaker 1: big municipal sewer project. And I wish I was in 434 00:24:41,080 --> 00:24:42,679 Speaker 1: the writer's room and they would rack to come up 435 00:24:42,680 --> 00:24:46,240 Speaker 1: with these characters. It is just come up with these 436 00:24:46,280 --> 00:24:49,520 Speaker 1: guys that are just like, you know, someone who believably 437 00:24:49,520 --> 00:24:52,240 Speaker 1: would have a bunch of money, right but might not 438 00:24:52,320 --> 00:24:54,760 Speaker 1: have access to it. Write something weird going on. Yeah, 439 00:24:54,800 --> 00:24:56,600 Speaker 1: if you helped me out a little bit here, I'll 440 00:24:56,600 --> 00:24:58,720 Speaker 1: make you real rich later. Do you think that they 441 00:24:58,760 --> 00:25:02,560 Speaker 1: went trolling first to find like trustworthy faces and then 442 00:25:02,560 --> 00:25:04,320 Speaker 1: they print them out right, and they put them all 443 00:25:04,359 --> 00:25:06,680 Speaker 1: up and they're like, Okay, who's this guy? I don't know. 444 00:25:06,760 --> 00:25:09,760 Speaker 1: Let's say it's like a textan. Yeah, he's got some 445 00:25:09,800 --> 00:25:14,920 Speaker 1: money and he's uh, went to I don't know, Sweden, 446 00:25:15,240 --> 00:25:19,120 Speaker 1: I don't know. And then his sisters a dentist. He's 447 00:25:19,160 --> 00:25:23,280 Speaker 1: got a dog named Spike. It's a creative job, very creative. 448 00:25:23,800 --> 00:25:26,840 Speaker 1: They have a lot of out of work. Yeah, who 449 00:25:26,880 --> 00:25:28,719 Speaker 1: says he can't make a good living. It's a it's 450 00:25:28,760 --> 00:25:30,600 Speaker 1: a writer. I bet ai is going to take this 451 00:25:30,640 --> 00:25:35,639 Speaker 1: from those writers all the jobs, oh God, are going 452 00:25:35,680 --> 00:25:38,680 Speaker 1: to take the scammers job? All right? Well, all these 453 00:25:38,720 --> 00:25:42,640 Speaker 1: do sound so outrageously absurd, right, and we sit here 454 00:25:42,640 --> 00:25:44,760 Speaker 1: and we laugh at them. They sound crazy. So how 455 00:25:44,760 --> 00:25:48,000 Speaker 1: does this work? How is this viable enough to keep happening? 456 00:25:48,320 --> 00:25:52,080 Speaker 1: Who is falling for these scams? And how could it 457 00:25:52,119 --> 00:25:55,800 Speaker 1: possibly be financially viable? Now we're going to talk about 458 00:25:55,800 --> 00:25:58,159 Speaker 1: the function of the romance scam and try and answer 459 00:25:58,200 --> 00:26:07,360 Speaker 1: all those questions right after this quick break, Welcome back 460 00:26:07,400 --> 00:26:10,920 Speaker 1: to the show. Okay, So, romance schemes may seem very 461 00:26:10,960 --> 00:26:13,639 Speaker 1: obvious to a lot of us. Sometimes after the fact, 462 00:26:13,840 --> 00:26:16,680 Speaker 1: they can sound so absurd and dumb that the people 463 00:26:16,720 --> 00:26:20,480 Speaker 1: who fall for them just look foolish, right, probably feel yeah, 464 00:26:20,480 --> 00:26:22,440 Speaker 1: come on, how could you not see what you believe? 465 00:26:22,520 --> 00:26:25,159 Speaker 1: This oil baron needed fifty grand from me? I mean, 466 00:26:25,200 --> 00:26:26,480 Speaker 1: a lot of the ones you hear about, like the 467 00:26:26,480 --> 00:26:28,639 Speaker 1: guy who needed fifty grand to fly out on a jet, 468 00:26:29,320 --> 00:26:32,280 Speaker 1: Unlike and I'm the only person you could ask for that. 469 00:26:32,359 --> 00:26:34,719 Speaker 1: You couldn't reach back out to the US military too. 470 00:26:34,720 --> 00:26:36,879 Speaker 1: Maybe you feel like, say, they're dude, there's got to 471 00:26:36,920 --> 00:26:40,639 Speaker 1: be a better number in your road, random lady. Well, 472 00:26:40,760 --> 00:26:44,399 Speaker 1: the FBI says that quote criminals who carry out romance 473 00:26:44,400 --> 00:26:48,760 Speaker 1: scams are experts at what they do and will seem genuine, 474 00:26:48,920 --> 00:26:53,000 Speaker 1: caring and believable. A special agent, Christine Binding, says that 475 00:26:53,119 --> 00:26:56,840 Speaker 1: generally scammers target women over fifty, but men can be 476 00:26:56,880 --> 00:27:00,440 Speaker 1: targets as well, and it's usually people who are forced 477 00:27:00,520 --> 00:27:03,680 Speaker 1: or widowed or maybe more vulnerable. So you're already looking 478 00:27:03,680 --> 00:27:07,000 Speaker 1: at a you know, a target who probably is a 479 00:27:07,040 --> 00:27:10,720 Speaker 1: little adrift and looking for answers and maybe struggling and 480 00:27:10,720 --> 00:27:13,199 Speaker 1: trying to find that magic solution, right, and that can 481 00:27:13,240 --> 00:27:16,679 Speaker 1: get all of us right. Yeah, that's very true. The 482 00:27:16,720 --> 00:27:20,800 Speaker 1: scammeras will often propose marriage very quickly. They developed very 483 00:27:20,840 --> 00:27:25,320 Speaker 1: intense relationships very quickly, and the people they target, like 484 00:27:25,400 --> 00:27:29,440 Speaker 1: you said, are usually already desperately looking for love and companionship, 485 00:27:29,600 --> 00:27:32,480 Speaker 1: you know. So the scammers will then claim that they 486 00:27:32,520 --> 00:27:37,040 Speaker 1: have an emergency, either they're trapped overseas in Sweden under 487 00:27:37,040 --> 00:27:40,480 Speaker 1: house arrest, or they have a medical emergency um and 488 00:27:40,520 --> 00:27:43,280 Speaker 1: they'll request money and they'll promise to repay them, and 489 00:27:43,280 --> 00:27:45,440 Speaker 1: you know, you can trust me because we have such 490 00:27:45,480 --> 00:27:49,440 Speaker 1: a close relationship. Of course, they never do pay anyone back, 491 00:27:49,680 --> 00:27:53,399 Speaker 1: and Asian Binding says, these are usually criminal organizations that 492 00:27:53,480 --> 00:27:56,160 Speaker 1: work together. It's not just like one guy here and there, 493 00:27:56,920 --> 00:27:59,680 Speaker 1: She says. Quote. Once a victim sends money, they will 494 00:27:59,720 --> 00:28:02,879 Speaker 1: often be placed on what's called a sucker list, and 495 00:28:02,920 --> 00:28:10,240 Speaker 1: their names and identities are shared with other criminals. Sucker list. Yeah, because, 496 00:28:10,280 --> 00:28:13,880 Speaker 1: like I mean, to get scamped twice, right, I mean, like, 497 00:28:15,240 --> 00:28:17,760 Speaker 1: especially if you didn't sometimes these people. Sometimes this happens 498 00:28:17,760 --> 00:28:20,600 Speaker 1: that people don't know they got scammed. You know. Oh, 499 00:28:20,640 --> 00:28:23,000 Speaker 1: I sent fifty grand to that guy so he could 500 00:28:23,000 --> 00:28:24,200 Speaker 1: get the jet and fly out of there, and I 501 00:28:24,280 --> 00:28:26,400 Speaker 1: never heard from him again. I guess he didn't make it, 502 00:28:26,800 --> 00:28:30,399 Speaker 1: n you know. So then someone comes along and it 503 00:28:30,440 --> 00:28:32,600 Speaker 1: happens all over again, and they haven't really learned a 504 00:28:32,680 --> 00:28:35,640 Speaker 1: lesson because they didn't know they did something wrong. Wow. Yeah, 505 00:28:36,280 --> 00:28:38,160 Speaker 1: although I have to say I'm jealous of anyone in 506 00:28:38,200 --> 00:28:41,920 Speaker 1: the position of being able to get somebody at the 507 00:28:41,960 --> 00:28:44,400 Speaker 1: drop of a hat. In the case of the Stephen 508 00:28:44,480 --> 00:28:47,440 Speaker 1: Townsend scammers that we talked about before the break, Chuck 509 00:28:47,440 --> 00:28:50,440 Speaker 1: what Hekalu was the man who was ordered to pay 510 00:28:50,480 --> 00:28:52,840 Speaker 1: over eight million dollars investitution that we talked about about 511 00:28:52,880 --> 00:28:56,360 Speaker 1: is Texas mansion sees. He was basically the money mule 512 00:28:56,520 --> 00:28:59,440 Speaker 1: in this particular scheme. Everything went between him and where 513 00:28:59,440 --> 00:29:02,320 Speaker 1: it needed to go. He came to the US on 514 00:29:02,360 --> 00:29:08,000 Speaker 1: a student visa in and between and twenty nineteen, this 515 00:29:08,040 --> 00:29:13,040 Speaker 1: guy deposited nine hundred and fifty thousand dollars into six 516 00:29:13,120 --> 00:29:17,120 Speaker 1: different banks and credit unions. When his conspirators were arrested 517 00:29:17,120 --> 00:29:18,960 Speaker 1: in twenty nineteen, the two guys who ended up in 518 00:29:19,000 --> 00:29:22,400 Speaker 1: a federal prison, he had already fled to Canada along 519 00:29:22,440 --> 00:29:25,120 Speaker 1: with his wife and their baby daughter when he was 520 00:29:25,160 --> 00:29:28,840 Speaker 1: deported back to the US for quote serious criminality and 521 00:29:29,000 --> 00:29:33,760 Speaker 1: organized criminality based on US charges a his wife and 522 00:29:33,840 --> 00:29:37,120 Speaker 1: daughter were allowed to stay in Canada under refugee status, 523 00:29:37,520 --> 00:29:39,120 Speaker 1: and there was a whole thing there where he tried 524 00:29:39,160 --> 00:29:42,600 Speaker 1: to appeal and basically say, if you send me back 525 00:29:42,640 --> 00:29:46,960 Speaker 1: to the US, they're gonna send me back home to Africa, 526 00:29:47,040 --> 00:29:50,400 Speaker 1: and I'm gonna be tried really viciously. My my wife 527 00:29:50,400 --> 00:29:53,080 Speaker 1: and daughter would be left with nothing and all this stuff, 528 00:29:53,120 --> 00:29:54,840 Speaker 1: and he had they had to get an agreement from 529 00:29:54,880 --> 00:29:58,440 Speaker 1: the US that that wouldn't happen before they would deport him, 530 00:29:58,440 --> 00:30:00,480 Speaker 1: but they did get that in writing, so fleet it's 531 00:30:00,520 --> 00:30:02,320 Speaker 1: not that bad. But he is set to be sentenced 532 00:30:02,360 --> 00:30:06,360 Speaker 1: in March, and he faces a maximum of twenty years 533 00:30:06,400 --> 00:30:08,760 Speaker 1: in prison. I mean that's a lot of money. You know, 534 00:30:09,000 --> 00:30:12,840 Speaker 1: you have to assume they did ruin somebody's life definitely, 535 00:30:13,560 --> 00:30:16,240 Speaker 1: or make them extremely uncomfortable for a long time. Now, 536 00:30:16,240 --> 00:30:18,160 Speaker 1: we went to learn more about these scammers, and we 537 00:30:18,240 --> 00:30:22,920 Speaker 1: saw an episode of the National geographic show Trafficked from 538 00:30:23,040 --> 00:30:26,720 Speaker 1: host Marianna van Zella meets with two romance scammers, a 539 00:30:26,760 --> 00:30:29,640 Speaker 1: man and a woman in Ghana. Now they're set up 540 00:30:29,640 --> 00:30:32,760 Speaker 1: in a fancy looking living room. The woman is making 541 00:30:32,760 --> 00:30:36,000 Speaker 1: a video call to her victim. The woman, who goes 542 00:30:36,040 --> 00:30:39,920 Speaker 1: by the Miami Queen, handles the video side of the calls, 543 00:30:40,040 --> 00:30:43,560 Speaker 1: but the man, known as the Punisher, handles most of 544 00:30:43,560 --> 00:30:46,880 Speaker 1: the text based conversation. So she's the face, but he's 545 00:30:46,920 --> 00:30:49,600 Speaker 1: the actual right word for some of them. And they said, 546 00:30:49,680 --> 00:30:51,280 Speaker 1: what's interesting is a lot of the time they just 547 00:30:51,360 --> 00:30:54,240 Speaker 1: work out of a warehouse or their living room or whatever. 548 00:30:54,680 --> 00:30:58,320 Speaker 1: But they rented this room in order to do the 549 00:30:58,400 --> 00:31:00,200 Speaker 1: video call in to make it look like he was 550 00:31:00,240 --> 00:31:04,720 Speaker 1: in a you know, an expensive apartment or something. Okay, interesting, 551 00:31:05,320 --> 00:31:08,320 Speaker 1: these two, the Miami Queen and the Punisher, great names, 552 00:31:08,360 --> 00:31:15,760 Speaker 1: but the Miami Queen is such an interesting choice. Maybe Anyway, 553 00:31:15,760 --> 00:31:18,080 Speaker 1: the Miami Queen and the Punishers say that actually men 554 00:31:18,280 --> 00:31:21,800 Speaker 1: are far easier to scam than women because there are 555 00:31:21,880 --> 00:31:24,560 Speaker 1: simply more of them on dating sites and they're more 556 00:31:24,640 --> 00:31:27,760 Speaker 1: likely to give money. But in the States, the host, 557 00:31:27,920 --> 00:31:31,880 Speaker 1: Marianna van Zeller says, far fewer men report being victims 558 00:31:31,880 --> 00:31:35,800 Speaker 1: than women. Yeah, so perhaps our agent binding who says 559 00:31:35,880 --> 00:31:40,000 Speaker 1: that women are more often targeted, maybe doesn't actually know 560 00:31:40,080 --> 00:31:42,680 Speaker 1: because the reporting is so often. That could be a 561 00:31:42,720 --> 00:31:44,560 Speaker 1: big part of it, because I mean, you look at 562 00:31:44,640 --> 00:31:48,200 Speaker 1: the stigma surrounding either case, right, Like seventy four year 563 00:31:48,240 --> 00:31:51,800 Speaker 1: old woman a widower gets told by some fake army 564 00:31:51,880 --> 00:31:54,120 Speaker 1: general to send all her money and she does and 565 00:31:54,160 --> 00:31:58,239 Speaker 1: it's heartbreaking that that poor woman. Right. Um, you know, 566 00:31:58,560 --> 00:32:01,880 Speaker 1: some fifty five year old goal guy gets hit up 567 00:32:01,960 --> 00:32:05,680 Speaker 1: by some hot girl on a dating site that tells 568 00:32:05,680 --> 00:32:07,600 Speaker 1: her tells him, you know, I'm at school, will you 569 00:32:07,600 --> 00:32:10,200 Speaker 1: send my tuition? Can you help me buy my books? YadA, 570 00:32:10,240 --> 00:32:13,480 Speaker 1: YadA YadA, and he ends up sender. You know, fifty grand, 571 00:32:13,520 --> 00:32:16,320 Speaker 1: a hunter grand or something, and it's like, well, maybe 572 00:32:16,360 --> 00:32:18,360 Speaker 1: you shouldn't have been thinking with your dick, you know. 573 00:32:18,440 --> 00:32:20,800 Speaker 1: And and he's not really a sympathetic and I think 574 00:32:20,800 --> 00:32:23,840 Speaker 1: the guys feel that so they don't report it. They're like, well, man, 575 00:32:23,840 --> 00:32:25,440 Speaker 1: I'm going to look like a real horn dog if 576 00:32:25,480 --> 00:32:27,600 Speaker 1: I go and tell somebody what happened to me. It's 577 00:32:27,640 --> 00:32:30,200 Speaker 1: kind of embarrassing, that is. Yeah, that's a good point. 578 00:32:30,560 --> 00:32:32,960 Speaker 1: That's a good point. I kind of I'm assuming you 579 00:32:33,000 --> 00:32:34,840 Speaker 1: know that that's why those numbers are skewed in the 580 00:32:34,840 --> 00:32:37,960 Speaker 1: direction they are, right, Um, well, I mean that's true 581 00:32:37,960 --> 00:32:40,800 Speaker 1: about sexual assault and domestic violence as well. Is that 582 00:32:40,920 --> 00:32:44,680 Speaker 1: you know they say the numbers are very much show 583 00:32:44,680 --> 00:32:47,680 Speaker 1: women being the victims more frequently than men, right, right. 584 00:32:47,720 --> 00:32:51,360 Speaker 1: And I don't think that it's even or anything like that, 585 00:32:51,760 --> 00:32:54,120 Speaker 1: but we do know that the reporting from men is 586 00:32:54,240 --> 00:32:58,000 Speaker 1: much much less pretty on those two things as well. 587 00:32:58,120 --> 00:33:01,320 Speaker 1: So men do stuff in silence. I got a lot 588 00:33:01,360 --> 00:33:04,280 Speaker 1: of things. I guess guys, if you get scam just 589 00:33:04,360 --> 00:33:07,920 Speaker 1: speak up, even if it makes you sound to horny. Yeah, right, 590 00:33:09,240 --> 00:33:11,120 Speaker 1: we gotta know what they're out here doing. Now, these 591 00:33:11,120 --> 00:33:13,760 Speaker 1: two Ghanans say that they have dozens of friends who 592 00:33:13,760 --> 00:33:17,240 Speaker 1: are also romance scammers. Their friends all get rich. They're 593 00:33:17,240 --> 00:33:20,560 Speaker 1: all building houses and buying fancy cars. They said, quote, 594 00:33:20,600 --> 00:33:24,520 Speaker 1: everybody's out here making money. Imagine the water cooler at 595 00:33:24,600 --> 00:33:29,080 Speaker 1: the office. They're like, Oh, today, I'm playing a guy 596 00:33:29,240 --> 00:33:33,560 Speaker 1: named Trevor, and I'm from Tulsa, Oklahoma, and I decided 597 00:33:33,560 --> 00:33:35,840 Speaker 1: to make him like a pro football player. I think 598 00:33:35,840 --> 00:33:39,760 Speaker 1: that'd be fun. Somebody comes in, yeah today on playing 599 00:33:39,800 --> 00:33:46,680 Speaker 1: Tiffany Wisconsin Jesus swimsuit model. Oh wow, Yeah, you're gonna 600 00:33:46,720 --> 00:33:49,280 Speaker 1: get a lot of money for that. Now. The punisher 601 00:33:49,360 --> 00:33:53,080 Speaker 1: says that his current victim, Michael, has no idea that 602 00:33:53,200 --> 00:33:56,520 Speaker 1: he's actually talking to a man in Ghana. He probably 603 00:33:56,560 --> 00:33:59,800 Speaker 1: thinks he's talking to Tiffany from Wisconsin or something. But 604 00:34:00,040 --> 00:34:03,479 Speaker 1: Unasher says, quote, I started falling in love with Michael, 605 00:34:03,720 --> 00:34:07,120 Speaker 1: not for intercourse or whatever, but I felt for him. 606 00:34:07,120 --> 00:34:09,919 Speaker 1: He is kind hearted. I think Michael has been too 607 00:34:09,920 --> 00:34:13,480 Speaker 1: good to me. He doesn't say how long they've been talking, 608 00:34:13,480 --> 00:34:15,600 Speaker 1: but he says that Michael has given the girl he's 609 00:34:15,640 --> 00:34:19,200 Speaker 1: posing as more than ten thousand dollars for things like 610 00:34:19,239 --> 00:34:22,600 Speaker 1: school fees and rent. It's got to be such a 611 00:34:22,640 --> 00:34:25,360 Speaker 1: tough part of the scam too, Like you can't you 612 00:34:25,360 --> 00:34:27,440 Speaker 1: can't fall in love with these people. You're gonna be 613 00:34:27,520 --> 00:34:30,759 Speaker 1: having very intimate conversations with them, getting to know them 614 00:34:30,760 --> 00:34:34,480 Speaker 1: at a very deep personal level, and and he turned 615 00:34:34,480 --> 00:34:37,839 Speaker 1: that off. I imagine there's similar challenges for sex workers, 616 00:34:38,520 --> 00:34:42,120 Speaker 1: you know, strippers, things like that, where you're like, you're 617 00:34:42,200 --> 00:34:45,560 Speaker 1: my job is to make you feel loved, and you 618 00:34:45,680 --> 00:34:48,799 Speaker 1: might respond to that in a really wonderful way, and 619 00:34:48,840 --> 00:34:51,719 Speaker 1: I have to make sure that I don't feel anything back. Yeah, right, 620 00:34:52,280 --> 00:34:54,160 Speaker 1: But I mean I don't. I don't know if I 621 00:34:54,200 --> 00:34:57,719 Speaker 1: feel better or worse that they have feelings for the 622 00:34:57,719 --> 00:35:00,400 Speaker 1: people who're talking to because it almost makes it work, 623 00:35:00,560 --> 00:35:02,640 Speaker 1: like I know this guy is a good person, and 624 00:35:02,680 --> 00:35:06,319 Speaker 1: I'm still continuing to scam him instead of like, I 625 00:35:06,320 --> 00:35:08,239 Speaker 1: don't care if he's a good or bad person. I'm 626 00:35:08,239 --> 00:35:10,560 Speaker 1: out here scamming, Like you know what I mean, I 627 00:35:10,560 --> 00:35:14,040 Speaker 1: don't know if I which one I preferred had been, 628 00:35:14,080 --> 00:35:16,080 Speaker 1: Like Michael's too good for me. I'm going to break 629 00:35:16,160 --> 00:35:17,960 Speaker 1: up with him because I can't take anymore his money. 630 00:35:17,960 --> 00:35:22,680 Speaker 1: I'm gonna move on to that that yacht owning asshole. Yeah, yeah, 631 00:35:23,360 --> 00:35:28,520 Speaker 1: poor Michael. These these Uh, these romance scammers should vet 632 00:35:29,160 --> 00:35:32,719 Speaker 1: they're victims and make sure that they're like racists or something, 633 00:35:32,800 --> 00:35:35,720 Speaker 1: only go after bad people. It's like the Boondock Saints 634 00:35:35,719 --> 00:35:38,959 Speaker 1: of romance SAMs. Now here's how some of these video 635 00:35:39,000 --> 00:35:42,800 Speaker 1: scams work against people like Michael. When the scammer video 636 00:35:42,880 --> 00:35:48,080 Speaker 1: calls Michael, Michael answers and he sees instead of the punisher, obviously, 637 00:35:48,360 --> 00:35:51,520 Speaker 1: some beautiful woman sitting on her bed on her phone, 638 00:35:52,560 --> 00:35:55,640 Speaker 1: and they don't. The woman does not respond to him vocally. 639 00:35:56,239 --> 00:35:58,640 Speaker 1: This is a pre recorded video of a woman on 640 00:35:58,680 --> 00:36:01,840 Speaker 1: her phone, and she just ocasionally like giggles and types 641 00:36:01,880 --> 00:36:04,480 Speaker 1: away on her phone as if she's texting the person. 642 00:36:04,560 --> 00:36:07,480 Speaker 1: That's that their video chatting with Michael speaks to her. 643 00:36:07,880 --> 00:36:11,240 Speaker 1: The scammer, the punisher is sitting there typing out messages 644 00:36:11,280 --> 00:36:14,520 Speaker 1: in response. Of course, Michael thinks it's the woman typing 645 00:36:14,840 --> 00:36:18,280 Speaker 1: on her phone in the video it's responding to him. 646 00:36:18,360 --> 00:36:20,279 Speaker 1: So I don't know that sounds kind of obvious when 647 00:36:20,280 --> 00:36:23,640 Speaker 1: you lay it out, but these horny, lonely dudes with 648 00:36:23,680 --> 00:36:27,400 Speaker 1: money despair or sometimes not despair, it clearly can be 649 00:36:27,440 --> 00:36:29,920 Speaker 1: a very convincing trick. It is so interesting because these 650 00:36:30,000 --> 00:36:32,239 Speaker 1: videos like you think that sounds like you would know 651 00:36:32,280 --> 00:36:35,000 Speaker 1: there's a fake video, but they're really good, Like they 652 00:36:35,360 --> 00:36:38,880 Speaker 1: look like this person is like maybe probably doing something 653 00:36:38,920 --> 00:36:41,959 Speaker 1: else on her phone while she's talking to you, and 654 00:36:42,160 --> 00:36:44,000 Speaker 1: you know, might pause to be like, well let me 655 00:36:44,040 --> 00:36:46,319 Speaker 1: think about what you just said for a second, and 656 00:36:46,400 --> 00:36:51,359 Speaker 1: I'll start typing again. She never quite know when she's 657 00:36:51,400 --> 00:36:55,920 Speaker 1: responding to you or not. It's it's very tricky. Why 658 00:36:56,280 --> 00:36:59,080 Speaker 1: would you not question, like why are we video chatting? 659 00:36:59,080 --> 00:37:03,040 Speaker 1: If we're just going to tech anyway? Because I think 660 00:37:03,440 --> 00:37:07,000 Speaker 1: speculation station. I think there's an element in situations like 661 00:37:07,040 --> 00:37:11,239 Speaker 1: these of I don't want to know, Like I want 662 00:37:11,280 --> 00:37:13,120 Speaker 1: to keep believing this is real, So I think that 663 00:37:13,280 --> 00:37:15,160 Speaker 1: I think there are a bunch of red flags in it. 664 00:37:15,560 --> 00:37:17,239 Speaker 1: And some of these guys are like I'd rather keep 665 00:37:17,239 --> 00:37:19,640 Speaker 1: looking at this video of this girl and believe that 666 00:37:19,680 --> 00:37:23,640 Speaker 1: she's talking to me, then question why aren't why aren't 667 00:37:23,640 --> 00:37:27,000 Speaker 1: we speaking? Or she'll be like, oh, my microphone's broken, 668 00:37:27,200 --> 00:37:31,080 Speaker 1: you know, stuff like that. You can't hear were like 669 00:37:31,360 --> 00:37:34,400 Speaker 1: my microphone's broken, or the video isn't good enough. And 670 00:37:34,440 --> 00:37:37,960 Speaker 1: they've developed a culture where that's the norm. Right when 671 00:37:37,960 --> 00:37:40,720 Speaker 1: you are video chatting, some hot girl, they don't speak 672 00:37:40,719 --> 00:37:43,040 Speaker 1: to you. They don't like to do that. They'll just 673 00:37:43,080 --> 00:37:48,200 Speaker 1: text back with you. Oh really, Well, I'm just saying 674 00:37:48,200 --> 00:37:51,439 Speaker 1: I think that's what I don't know, this kind of money. 675 00:37:51,440 --> 00:37:54,719 Speaker 1: It sounds like you know a little too. But hey, 676 00:37:54,760 --> 00:37:56,799 Speaker 1: that's what I'll do. I'll start video chatting with you, 677 00:37:56,840 --> 00:37:59,200 Speaker 1: but I don't want you to say anything. Good luck 678 00:38:03,640 --> 00:38:09,239 Speaker 1: up now. The host Marianna Vanzeller, learns from another scammer that, 679 00:38:09,440 --> 00:38:13,879 Speaker 1: like Agent Binding said, these are groups of organized scammers, 680 00:38:13,920 --> 00:38:17,399 Speaker 1: not lone wolves working on their own right. One guy 681 00:38:17,480 --> 00:38:20,560 Speaker 1: that she spoke to under extreme anonymity, I mean full 682 00:38:20,640 --> 00:38:22,680 Speaker 1: mask everything in a parking lot. It was like a 683 00:38:22,719 --> 00:38:25,960 Speaker 1: deep threat situation told her that he was very concerned 684 00:38:26,440 --> 00:38:30,120 Speaker 1: because his boss was quote a very rich man, and 685 00:38:30,320 --> 00:38:32,440 Speaker 1: if he knew that he was speaking to a reporter 686 00:38:32,800 --> 00:38:35,160 Speaker 1: even though his face was completely covered, he could be 687 00:38:35,160 --> 00:38:39,720 Speaker 1: in big trouble. He said that these bosses have tons 688 00:38:39,760 --> 00:38:41,920 Speaker 1: of he said. He said, he's got all these boys 689 00:38:41,960 --> 00:38:44,600 Speaker 1: working for him like me. And he said, quote, the 690 00:38:44,640 --> 00:38:47,920 Speaker 1: boys go online and find good clients, and once they 691 00:38:48,000 --> 00:38:50,080 Speaker 1: know that they're a good client that they can get 692 00:38:50,080 --> 00:38:52,759 Speaker 1: money out of. We pushed them to the boss and 693 00:38:52,840 --> 00:38:55,200 Speaker 1: he works it out from there. So he's like the closer. 694 00:38:56,000 --> 00:38:59,759 Speaker 1: The boss is the guy who actually makes the money happen. Yeah, 695 00:39:00,080 --> 00:39:01,839 Speaker 1: just kind of like a bot farm, right where they 696 00:39:01,880 --> 00:39:04,800 Speaker 1: have so many people just with a billion iPhones in 697 00:39:04,840 --> 00:39:07,719 Speaker 1: front of them, happen on things all day long and 698 00:39:07,719 --> 00:39:09,560 Speaker 1: you don't even know You're not even talking to the 699 00:39:09,560 --> 00:39:13,120 Speaker 1: same person the whole time. And honestly, truly to your 700 00:39:13,160 --> 00:39:15,840 Speaker 1: point earlier, I didn't haven't seen this in my research, 701 00:39:15,920 --> 00:39:18,440 Speaker 1: but come on, this is going to turn into AI. 702 00:39:18,560 --> 00:39:21,160 Speaker 1: It's going to turn into one guy with fifty iPhones 703 00:39:21,200 --> 00:39:25,240 Speaker 1: that are all having is AI conversations. He could probably 704 00:39:25,600 --> 00:39:27,640 Speaker 1: plug it into Replica. I was gonna say, we talked 705 00:39:27,640 --> 00:39:32,360 Speaker 1: about replica, and those are not extremely convincing conversations, but 706 00:39:32,400 --> 00:39:34,160 Speaker 1: if you wanted them to be, they could be, and 707 00:39:34,200 --> 00:39:36,960 Speaker 1: they will get there and they will get a later. Yeah. 708 00:39:37,080 --> 00:39:39,200 Speaker 1: And so the closer now doesn't have to pay other 709 00:39:39,239 --> 00:39:41,600 Speaker 1: guys because they just get a cut. Yeah. Now he 710 00:39:41,760 --> 00:39:44,319 Speaker 1: just does it himself. AI is really coming for all 711 00:39:44,360 --> 00:39:47,640 Speaker 1: of us, all the workers of the world. According to 712 00:39:47,680 --> 00:39:51,239 Speaker 1: Popular Mechanics, this kind of identity theft is quote plaguing 713 00:39:51,320 --> 00:39:55,480 Speaker 1: the US military, the U S Army Criminal Investigation Command 714 00:39:55,520 --> 00:39:58,680 Speaker 1: says hundreds of reports come in every month from scams 715 00:39:58,719 --> 00:40:02,120 Speaker 1: involving people imitate members of the military at all levels. 716 00:40:02,160 --> 00:40:05,200 Speaker 1: So it's not just Steven Townsend, even though they like 717 00:40:05,360 --> 00:40:08,160 Speaker 1: him a lot for whatever. And this is probably because 718 00:40:08,200 --> 00:40:12,560 Speaker 1: there are plenty of publicly available images of soldiers. People, 719 00:40:12,760 --> 00:40:17,280 Speaker 1: especially older people, tend to implicitly trust members of the military, 720 00:40:17,320 --> 00:40:21,520 Speaker 1: and they're typically seen as responsible, financially secure people who 721 00:40:21,600 --> 00:40:24,919 Speaker 1: would believably be lonely and looking for love. So there's 722 00:40:24,920 --> 00:40:26,960 Speaker 1: a lot of reasons to use a soldier. I guess 723 00:40:26,960 --> 00:40:30,680 Speaker 1: is yours your um what would you call that your costume? 724 00:40:31,280 --> 00:40:33,319 Speaker 1: But for lack of a better word, But the U. S. 725 00:40:33,400 --> 00:40:36,680 Speaker 1: Army says, quote, victims of these scams can lose tens 726 00:40:36,680 --> 00:40:40,279 Speaker 1: of thousands of dollars and face a slim likelihood of 727 00:40:40,320 --> 00:40:44,040 Speaker 1: recovering any of it. Right, it means so often these 728 00:40:44,040 --> 00:40:46,319 Speaker 1: are reported, But what can they do? I mean that 729 00:40:46,400 --> 00:40:51,040 Speaker 1: the tracking is really difficult. Everything's done you know, with 730 00:40:51,080 --> 00:40:53,840 Speaker 1: extreme anonimity and through VPNs and stuff like that. You 731 00:40:53,880 --> 00:40:57,040 Speaker 1: can't just like, you know, look, we triangulate the signal 732 00:40:57,080 --> 00:41:03,680 Speaker 1: and find out where it's coming from. Enhanced enhanced, It's like, yeah, 733 00:41:03,719 --> 00:41:06,080 Speaker 1: there's no there's no insurance for that. Sorry, you gave 734 00:41:06,080 --> 00:41:09,360 Speaker 1: your running away. I know. That's really sad though, because 735 00:41:09,960 --> 00:41:12,400 Speaker 1: it's kind of like, um, I remember getting something stolen 736 00:41:12,440 --> 00:41:14,240 Speaker 1: from me and had to fill out a police report 737 00:41:14,800 --> 00:41:16,840 Speaker 1: and it was so it made me upset because it 738 00:41:16,880 --> 00:41:19,600 Speaker 1: was mad. Of course I had just been stolen from 739 00:41:19,640 --> 00:41:21,440 Speaker 1: and I was telling the cop about it and they 740 00:41:21,440 --> 00:41:25,759 Speaker 1: were like, Okay, I mean stereo, some cash. Yeah, I've 741 00:41:25,760 --> 00:41:28,480 Speaker 1: got it in writing. But it's not like the stereo 742 00:41:28,560 --> 00:41:32,120 Speaker 1: is gonna suddenly appear on the black market or something. 743 00:41:32,200 --> 00:41:34,520 Speaker 1: The cash is gone. You're never seeing that again, you 744 00:41:34,560 --> 00:41:36,480 Speaker 1: know what I mean, Like John McClean is not going 745 00:41:36,520 --> 00:41:38,640 Speaker 1: to go out there and like storm a building and 746 00:41:38,719 --> 00:41:42,120 Speaker 1: find your stereo justice for me. But yeah, I was 747 00:41:42,160 --> 00:41:44,759 Speaker 1: just like I remember being like, why did I even 748 00:41:44,760 --> 00:41:47,000 Speaker 1: call you because there's nothing. I mean, it was good 749 00:41:47,040 --> 00:41:48,920 Speaker 1: to have the report and everything, but I was just like, 750 00:41:49,280 --> 00:41:51,879 Speaker 1: there's nothing you can do. And it was even like 751 00:41:52,000 --> 00:41:53,640 Speaker 1: I wasn't even mad at the cop. I was just like, 752 00:41:53,680 --> 00:41:55,040 Speaker 1: as I was talking, I was like, I don't know 753 00:41:55,040 --> 00:41:57,200 Speaker 1: what I'm expecting him to do. Go to every thrift 754 00:41:57,239 --> 00:41:58,719 Speaker 1: store and try to see if you can find my 755 00:41:58,800 --> 00:42:02,120 Speaker 1: stupid eye home, Like you know that's not going to happen. 756 00:42:02,800 --> 00:42:05,359 Speaker 1: So I don't know. It's just I was thinking about 757 00:42:06,040 --> 00:42:08,759 Speaker 1: the Big Lebowski scene where his car gets stolen and 758 00:42:08,840 --> 00:42:12,040 Speaker 1: he finds it. Yeah, and he asked the cop like, 759 00:42:12,080 --> 00:42:13,520 Speaker 1: are you're going to catch the guys who did this? 760 00:42:13,560 --> 00:42:15,759 Speaker 1: And the cops starts laughing. He says, oh yeah, they 761 00:42:15,760 --> 00:42:20,440 Speaker 1: got us working in shifts worried about it. We're not. 762 00:42:20,719 --> 00:42:22,359 Speaker 1: I know that. There's just you got your car back, 763 00:42:22,360 --> 00:42:25,080 Speaker 1: consider yourself lucky, you know well, or even think about 764 00:42:25,080 --> 00:42:28,960 Speaker 1: this guy who owes eight million dollars. That's great that 765 00:42:29,000 --> 00:42:32,439 Speaker 1: he owes it. Does he have it? Probably not, so 766 00:42:32,560 --> 00:42:34,400 Speaker 1: you're never going to get it. I mean, what are 767 00:42:34,400 --> 00:42:36,480 Speaker 1: they going to do with it? I don't think the 768 00:42:36,480 --> 00:42:38,319 Speaker 1: government's gonna be like, all right, let's write a little 769 00:42:38,360 --> 00:42:41,440 Speaker 1: check to everybody. You know, he got to right, So 770 00:42:41,600 --> 00:42:44,759 Speaker 1: I don't know. It's tough to bummer poor Steven Townsen though, 771 00:42:44,800 --> 00:42:47,600 Speaker 1: to be have his his face to scamming this ship out. 772 00:42:47,600 --> 00:42:49,879 Speaker 1: I wonder how much he even knows about it, because 773 00:42:49,880 --> 00:42:52,640 Speaker 1: he's not on social media at all. You know, did 774 00:42:52,680 --> 00:42:54,880 Speaker 1: he have to get off social media because of this? 775 00:42:55,080 --> 00:42:57,200 Speaker 1: I don't think he ever was. Yeah, I don't think 776 00:42:57,200 --> 00:42:59,399 Speaker 1: so well, that's I'm glad he's not out there looking 777 00:42:59,440 --> 00:43:06,920 Speaker 1: for a love right now, because right to escape a 778 00:43:07,120 --> 00:43:11,360 Speaker 1: hostile country was me. I was thinking that with like 779 00:43:11,840 --> 00:43:15,800 Speaker 1: low level celebrities that's still date. Like I heard Nicole 780 00:43:15,840 --> 00:43:19,040 Speaker 1: byer on Um I think she's on weight weight don't 781 00:43:19,080 --> 00:43:21,239 Speaker 1: tell me or something, and they were asking her about 782 00:43:21,360 --> 00:43:23,640 Speaker 1: dating and she's like, oh, I'm still on bumble and 783 00:43:24,200 --> 00:43:25,799 Speaker 1: you know, stuff like that. I was like, it's gotta 784 00:43:25,920 --> 00:43:29,080 Speaker 1: there's gotta be some people who were like, no, I 785 00:43:29,120 --> 00:43:32,839 Speaker 1: can't a celebrity. You're you stole her picture. That's not you, right, 786 00:43:33,000 --> 00:43:34,719 Speaker 1: this is a lie. Ye. I wonder if people just 787 00:43:34,760 --> 00:43:38,120 Speaker 1: swipe right by because they think it's not person. It's 788 00:43:38,120 --> 00:43:40,839 Speaker 1: got to be tough. It's sort of like when Riya, 789 00:43:41,000 --> 00:43:43,440 Speaker 1: the celebrity dating app came out and I was like, 790 00:43:43,760 --> 00:43:45,680 Speaker 1: very inclined to roll my eyes, but then I was like, 791 00:43:45,719 --> 00:43:48,799 Speaker 1: actually kind of makes sense. Like if you're Rhanna, like 792 00:43:48,880 --> 00:43:52,520 Speaker 1: you don't want to get on Tinder. First of all, 793 00:43:52,560 --> 00:43:54,799 Speaker 1: no one will believe you, and if they do, you 794 00:43:54,800 --> 00:43:58,239 Speaker 1: don't want to talking reach that. You know, I need 795 00:43:58,239 --> 00:44:02,239 Speaker 1: to make sure people I'm talking to like not you know, 796 00:44:02,360 --> 00:44:06,760 Speaker 1: crazy is or some real insane fan person or star 797 00:44:07,440 --> 00:44:10,520 Speaker 1: or whatever. You know, it's just some level I think 798 00:44:10,560 --> 00:44:12,080 Speaker 1: you want to be, like I'd like to be in 799 00:44:12,160 --> 00:44:15,279 Speaker 1: my own pool. Well, it is sad that most of 800 00:44:15,280 --> 00:44:17,279 Speaker 1: these people won't get their money back. I guess. The 801 00:44:17,400 --> 00:44:20,240 Speaker 1: Army says, like and and the FBI and everybody says, 802 00:44:20,239 --> 00:44:22,080 Speaker 1: the best thing you can do is educate yourself and 803 00:44:23,000 --> 00:44:24,960 Speaker 1: keep your head in the swivel, you know, be smart, 804 00:44:25,320 --> 00:44:29,000 Speaker 1: be savvy, don't send random stranger's money. Let the red 805 00:44:29,080 --> 00:44:33,120 Speaker 1: flags sad. Yeah, yeah, And I think that's the trick 806 00:44:33,120 --> 00:44:34,640 Speaker 1: of it too. Like we talked about with some of 807 00:44:34,640 --> 00:44:36,320 Speaker 1: the men who fall for this stuff, I have to 808 00:44:36,360 --> 00:44:39,160 Speaker 1: wonder if a lot of those cases aren't just like 809 00:44:39,760 --> 00:44:43,120 Speaker 1: low dollar amounts, you know that happened a couple of times, 810 00:44:43,400 --> 00:44:46,239 Speaker 1: if if not even just once. And it's like, yeah, 811 00:44:46,280 --> 00:44:51,640 Speaker 1: I paid for a chat website, you know, where I 812 00:44:51,680 --> 00:44:54,480 Speaker 1: through some girl, you know, a hundred dollars and it 813 00:44:54,520 --> 00:44:57,320 Speaker 1: turns out it's some dude in Ghana with a fake video, 814 00:44:58,600 --> 00:45:01,640 Speaker 1: you know whatever. Well that the guy doesn't care. Yeah, 815 00:45:01,680 --> 00:45:04,120 Speaker 1: he's like, yeah, I paid for the video, I don't care, 816 00:45:04,200 --> 00:45:07,120 Speaker 1: don't tell me the truth. But obviously these larger cases 817 00:45:08,480 --> 00:45:11,520 Speaker 1: ruining livelihoods. That makes sense though, because if you could 818 00:45:11,600 --> 00:45:15,279 Speaker 1: get two thousand dollars from two people, that's better than 819 00:45:15,320 --> 00:45:19,919 Speaker 1: getting one person to give you all their money, right right, Um, 820 00:45:20,000 --> 00:45:23,919 Speaker 1: and and again such a small amount. Who's coming for you? 821 00:45:24,280 --> 00:45:28,479 Speaker 1: Who's even noticing it? Yeah? Stay smart out there, everybody, seriously, Yeah, 822 00:45:28,600 --> 00:45:30,799 Speaker 1: be careful. At least at the very least. We have 823 00:45:30,880 --> 00:45:34,160 Speaker 1: talked about some romance scams in the past, like the 824 00:45:34,280 --> 00:45:37,480 Speaker 1: Lonely Hearts killers. Yeah, and they were like, we're going 825 00:45:37,520 --> 00:45:39,319 Speaker 1: to kill you. So at least at least people are 826 00:45:39,360 --> 00:45:43,839 Speaker 1: not being murdered and thrown into closets while they go 827 00:45:44,239 --> 00:45:47,719 Speaker 1: watch a movie. Yeah, yeah, that's true. But I think 828 00:45:47,760 --> 00:45:49,719 Speaker 1: that you know, we we often assume and even the 829 00:45:49,800 --> 00:45:52,200 Speaker 1: number of these stories are like elderly people, you know, 830 00:45:52,200 --> 00:45:56,640 Speaker 1: people who aren't necessarily tech savvy, um, who might have 831 00:45:56,680 --> 00:45:59,920 Speaker 1: money to spare or not either way. Um, but then 832 00:46:00,040 --> 00:46:01,880 Speaker 1: we sort of think, oh, and so it can't happen 833 00:46:01,920 --> 00:46:05,239 Speaker 1: to me. But it can. I mean if there are 834 00:46:05,440 --> 00:46:07,080 Speaker 1: very good at what they do. The whole point is 835 00:46:07,080 --> 00:46:10,759 Speaker 1: that you don't know what's happening. I've paid at carnivals 836 00:46:11,200 --> 00:46:15,040 Speaker 1: to play games. I'm like, I know that this is 837 00:46:15,080 --> 00:46:17,319 Speaker 1: a scam. I know I cannot win here, but I 838 00:46:17,360 --> 00:46:19,759 Speaker 1: want to watch this guy work is magic and I 839 00:46:19,800 --> 00:46:21,600 Speaker 1: feel like I lost twenty bucks, but I saw an 840 00:46:21,640 --> 00:46:25,000 Speaker 1: incredible show, right, I got very well entertained. Yeah, and 841 00:46:25,040 --> 00:46:27,560 Speaker 1: that's okay, But but you got to know what you're 842 00:46:27,600 --> 00:46:30,080 Speaker 1: up against and what you're gonna lose and be willing 843 00:46:30,080 --> 00:46:33,200 Speaker 1: to lose it. That's true too. You know, maybe have 844 00:46:33,280 --> 00:46:38,400 Speaker 1: a little extra savings account to the side, whatever is 845 00:46:38,440 --> 00:46:41,600 Speaker 1: in there. That's what I'm willing to lose to scams. 846 00:46:41,600 --> 00:46:43,200 Speaker 1: That's the one. If there's if it's empty, that's it. 847 00:46:43,280 --> 00:46:46,800 Speaker 1: No scam today. Can't can't get CanCon do that money? Sorry, 848 00:46:46,880 --> 00:46:50,799 Speaker 1: Mr Army Pilot, you're gonna be stuck in Switzerland. Sorry 849 00:46:50,840 --> 00:46:53,120 Speaker 1: Tiffany from Wisconsin, You're gonna have to pay your own 850 00:46:53,120 --> 00:46:58,160 Speaker 1: tuition this semester. Has any of you been hit by 851 00:46:58,200 --> 00:47:01,120 Speaker 1: a romance scam? Because I would love to hear about it, 852 00:47:01,160 --> 00:47:02,680 Speaker 1: and we would love to share it with the world's 853 00:47:02,680 --> 00:47:05,439 Speaker 1: they know better. We won't put your name out there 854 00:47:05,840 --> 00:47:07,520 Speaker 1: if you don't want, but we'd love to hear the story. 855 00:47:07,800 --> 00:47:09,600 Speaker 1: Or if you just want to say hi or tell 856 00:47:09,680 --> 00:47:12,120 Speaker 1: us something about this episode or any episode, or if 857 00:47:12,120 --> 00:47:14,719 Speaker 1: you have a suggestion for an episode? Yeah, please shoot 858 00:47:14,800 --> 00:47:17,879 Speaker 1: us an email, ridic Romance at gmail dot com. Writer. 859 00:47:18,080 --> 00:47:20,799 Speaker 1: We're on Twitter and Instagram. I'm at Dianamite Booms and 860 00:47:20,800 --> 00:47:23,120 Speaker 1: I'm at Oh Great, It's Eli and the show is 861 00:47:23,200 --> 00:47:26,000 Speaker 1: at ridic Romance. Thanks so much for tuning in for 862 00:47:26,000 --> 00:47:28,200 Speaker 1: this one. We'll be back next week with another fun 863 00:47:28,360 --> 00:47:31,239 Speaker 1: romantic history story and I can't wait to see on 864 00:47:31,280 --> 00:47:35,280 Speaker 1: that one. Thanks for listening, Love you by so long. Friends, 865 00:47:35,320 --> 00:47:39,040 Speaker 1: It's time to go. Thanks so listening to our show. 866 00:47:39,560 --> 00:47:42,680 Speaker 1: Tell your friend's name was Uncle Sandez? To listen to 867 00:47:42,760 --> 00:47:44,239 Speaker 1: a show ridiculous, well n