1 00:00:05,240 --> 00:00:07,600 Speaker 1: Hey, this is Annie and Samantha and welcome to Stefan 2 00:00:07,600 --> 00:00:20,120 Speaker 1: Never Told You Protection of iHeartRadio. And for today's episode, 3 00:00:20,120 --> 00:00:24,560 Speaker 1: we're doing an update on online dating. I will say 4 00:00:24,560 --> 00:00:27,160 Speaker 1: we're focusing on some specific areas because there's a lot 5 00:00:27,200 --> 00:00:30,040 Speaker 1: going on in the world of online dating right now, 6 00:00:30,520 --> 00:00:33,040 Speaker 1: So we might come back and look into some other things, 7 00:00:33,080 --> 00:00:37,400 Speaker 1: but for this one content warning of mentions of sexual 8 00:00:37,400 --> 00:00:39,559 Speaker 1: assault and harassment. Nothing too in depth, but we are 9 00:00:39,600 --> 00:00:41,760 Speaker 1: going to talk about it a little bit. You can 10 00:00:41,840 --> 00:00:44,640 Speaker 1: check out our episodes that we've done in the past 11 00:00:44,840 --> 00:00:47,920 Speaker 1: on online dating and modern dating in general. We've even 12 00:00:48,000 --> 00:00:51,680 Speaker 1: done some specific to the pandemic, so you can look 13 00:00:51,720 --> 00:00:54,600 Speaker 1: back on those. So kind of the impetus for this 14 00:00:54,640 --> 00:00:56,840 Speaker 1: one was I'd seen a lot of headlines and I'd 15 00:00:56,880 --> 00:01:01,760 Speaker 1: heard some from you, Samantha that there were these like 16 00:01:01,960 --> 00:01:08,039 Speaker 1: rumblings and rumors of these companies are kind of manipulating 17 00:01:08,040 --> 00:01:11,560 Speaker 1: you into paying money to use them to get the 18 00:01:11,880 --> 00:01:13,720 Speaker 1: good dates. And I'll ask you more about that later, 19 00:01:13,880 --> 00:01:16,959 Speaker 1: but so I was kind of like thinking about, you know, 20 00:01:17,040 --> 00:01:21,240 Speaker 1: the whole money doesn't buy love, but I mean, does 21 00:01:21,319 --> 00:01:27,119 Speaker 1: it can? It can't apparently, So for a really quick 22 00:01:27,200 --> 00:01:32,200 Speaker 1: overview and again see our past episodes we've done on 23 00:01:32,280 --> 00:01:35,760 Speaker 1: this for more information. But match dot com got started 24 00:01:35,760 --> 00:01:38,440 Speaker 1: in nineteen ninety five, j Date in nineteen ninety seven, 25 00:01:38,560 --> 00:01:41,320 Speaker 1: e Harmony in two thousand and Tender in twenty thirteen, 26 00:01:42,200 --> 00:01:44,520 Speaker 1: and in two thousand and nine Okay, keep it released 27 00:01:44,560 --> 00:01:47,600 Speaker 1: its a list feature, which is sort of more what 28 00:01:47,600 --> 00:01:52,960 Speaker 1: we're talking about here, these tiered features, because paying to 29 00:01:53,240 --> 00:01:55,480 Speaker 1: date or to find a date isn't new. I even 30 00:01:55,520 --> 00:01:57,680 Speaker 1: tried to go on a rabbit hole about speed dating, 31 00:01:57,680 --> 00:02:01,240 Speaker 1: which we have talked about before. Then how much that. 32 00:02:03,200 --> 00:02:04,800 Speaker 2: I think my partner would be mad at me? 33 00:02:05,000 --> 00:02:07,720 Speaker 1: I was just curious. I wanted to know how much 34 00:02:07,760 --> 00:02:13,200 Speaker 1: it costs personal ads too, something like that. But in 35 00:02:13,240 --> 00:02:17,079 Speaker 1: our time of online dating, something really big is happening 36 00:02:17,160 --> 00:02:21,200 Speaker 1: when it comes to price. And we have talked about 37 00:02:21,400 --> 00:02:25,640 Speaker 1: the gamification of online dating, how the swiping, the constant refreshing, 38 00:02:25,760 --> 00:02:28,519 Speaker 1: the notifications can really feel like a game that you 39 00:02:28,560 --> 00:02:31,560 Speaker 1: want to keep playing. Maybe you want to go to 40 00:02:31,600 --> 00:02:34,679 Speaker 1: the next level. These companies know that and they want 41 00:02:34,720 --> 00:02:38,760 Speaker 1: to capitalize on that, and that next level is only 42 00:02:38,800 --> 00:02:43,320 Speaker 1: available at a price. There are psychology studies behind this. Basically, 43 00:02:43,320 --> 00:02:46,080 Speaker 1: they get you hooked with the free version, and then 44 00:02:46,120 --> 00:02:47,799 Speaker 1: you want to keep going, and you're willing to pay 45 00:02:47,840 --> 00:02:51,480 Speaker 1: more because you can't go any further, especially for smaller 46 00:02:51,520 --> 00:02:53,840 Speaker 1: areas I read where it's like, you know, the pools 47 00:02:53,880 --> 00:02:57,560 Speaker 1: a bit smaller, you have to pay the money to 48 00:02:57,639 --> 00:02:58,080 Speaker 1: keep going. 49 00:02:58,720 --> 00:03:03,519 Speaker 3: Sure, According to a recent study by Pew Research Center, 50 00:03:03,680 --> 00:03:06,640 Speaker 3: thirty five percent of Americans I've paid to use a 51 00:03:06,720 --> 00:03:11,160 Speaker 3: dating app at one point, spinning about nineteen dollars on average. 52 00:03:11,200 --> 00:03:13,560 Speaker 3: And according to numbers published in the twenty twenty four 53 00:03:13,600 --> 00:03:18,560 Speaker 3: Financial Times article, consumers spent over five billion globally last 54 00:03:18,600 --> 00:03:22,480 Speaker 3: year on dating apps, and lately it's really accelerated. 55 00:03:22,560 --> 00:03:24,040 Speaker 2: But we're going to step back a bit. 56 00:03:24,320 --> 00:03:28,880 Speaker 1: Yes, Okay, So when tender released tender Gold in twenty seventeen, 57 00:03:28,919 --> 00:03:30,720 Speaker 1: which is one of three tiers that it had at 58 00:03:30,760 --> 00:03:34,960 Speaker 1: the time, it beat out Candy Crush for Apple's top app. 59 00:03:35,040 --> 00:03:36,600 Speaker 3: Yeah, I was just thinking that, I'm like, don't feel 60 00:03:36,640 --> 00:03:39,000 Speaker 3: bad about the amount of money I've spent on my 61 00:03:39,720 --> 00:03:42,520 Speaker 3: phone games right now with this number, this is. 62 00:03:42,520 --> 00:03:44,560 Speaker 1: All for you, Samantha, and I thank you. Make you 63 00:03:44,560 --> 00:03:49,240 Speaker 1: feel better. And before you ask, tender Gold is not 64 00:03:49,360 --> 00:03:51,480 Speaker 1: their newest iteration into a paid service. We're going to 65 00:03:51,480 --> 00:03:53,560 Speaker 1: talk about that more in a second. Here's a quote 66 00:03:53,560 --> 00:03:56,800 Speaker 1: from Box about it and app makers claim it's worth it. 67 00:03:57,080 --> 00:03:59,920 Speaker 1: In June, Coffee meets Bagel co founder du Wun Khan 68 00:04:00,320 --> 00:04:02,840 Speaker 1: told Vice that men who pay the thirty five dollars 69 00:04:02,880 --> 00:04:05,680 Speaker 1: per month with the upgraded version have quote a forty 70 00:04:05,720 --> 00:04:09,640 Speaker 1: three percent higher number of connections mutual likes than non payers, 71 00:04:09,960 --> 00:04:14,120 Speaker 1: and that conversation links increased by twelve percent. According to 72 00:04:14,160 --> 00:04:16,479 Speaker 1: the author of this article, The reasons for opting to 73 00:04:16,520 --> 00:04:18,719 Speaker 1: pay really varied, but a lot of people cited that 74 00:04:18,760 --> 00:04:21,640 Speaker 1: they wanted to see who had liked them without any 75 00:04:21,640 --> 00:04:25,320 Speaker 1: commitment of liking them back. Some reported swiping right on 76 00:04:25,360 --> 00:04:28,360 Speaker 1: folks they previously wouldn't have after seeing that they liked 77 00:04:28,400 --> 00:04:32,400 Speaker 1: them first liked. Basically, it was nice to know someone 78 00:04:32,480 --> 00:04:35,760 Speaker 1: was interested first, and that's not an option that you 79 00:04:35,839 --> 00:04:39,719 Speaker 1: have unless you pay for. Most of these others reported 80 00:04:39,760 --> 00:04:43,000 Speaker 1: what sounds to me like a self esteem issue, and 81 00:04:43,080 --> 00:04:45,400 Speaker 1: I say this is someone with low self esteem, okay, 82 00:04:45,760 --> 00:04:48,400 Speaker 1: but essentially feeling like their pictures were bad or the 83 00:04:48,440 --> 00:04:51,919 Speaker 1: app was broken because they weren't getting any matches, so 84 00:04:52,000 --> 00:04:55,159 Speaker 1: they liked to pay for the option to see, like, 85 00:04:55,279 --> 00:04:59,320 Speaker 1: am I getting any matches. Yes, so yeah, paying for 86 00:04:59,360 --> 00:05:02,839 Speaker 1: that premium search us allowed them to basically make themselves 87 00:05:02,839 --> 00:05:05,159 Speaker 1: feel better or at least it, you know, maybe ease 88 00:05:05,240 --> 00:05:16,120 Speaker 1: their anxiety around it. Maybe maybe they got there. I 89 00:05:16,160 --> 00:05:18,200 Speaker 1: have said it was a comfort, but you know, I 90 00:05:18,240 --> 00:05:22,800 Speaker 1: don't know. Even if they would never have matched with 91 00:05:22,880 --> 00:05:25,480 Speaker 1: the person, they can at least see and feel validated 92 00:05:25,520 --> 00:05:29,039 Speaker 1: by people finding them attractive. Others are in the camp 93 00:05:29,120 --> 00:05:32,800 Speaker 1: that you'll know people who are paying are more serious 94 00:05:33,200 --> 00:05:35,640 Speaker 1: about finding a long term partner if they can afford 95 00:05:35,680 --> 00:05:38,760 Speaker 1: it access it. That's a whole other conversation. Uh, though 96 00:05:38,800 --> 00:05:41,880 Speaker 1: others say, depending on the app, the opposite may be 97 00:05:41,960 --> 00:05:46,640 Speaker 1: true that it but it may still help filter out people. 98 00:05:46,680 --> 00:05:48,920 Speaker 1: I think there's some more filtering options on some of them. 99 00:05:49,520 --> 00:05:51,800 Speaker 1: But still others say, and here's a quote from that 100 00:05:51,880 --> 00:05:55,560 Speaker 1: Vox article from someone going by winter, I know a 101 00:05:55,560 --> 00:05:57,960 Speaker 1: lot of men who swipe right on everyone they find 102 00:05:58,080 --> 00:06:02,000 Speaker 1: even mildly attractive and filter later. It's especially frustrating on 103 00:06:02,040 --> 00:06:04,000 Speaker 1: bumble because then I don't feel I should put a 104 00:06:04,000 --> 00:06:06,920 Speaker 1: lot of effort into my initial message because the match 105 00:06:07,040 --> 00:06:10,680 Speaker 1: doesn't guarantee response. I would also say, I think if 106 00:06:10,720 --> 00:06:14,960 Speaker 1: you paid money into doing something there's more impetus for 107 00:06:15,040 --> 00:06:16,640 Speaker 1: you to feel like I have to make this worth 108 00:06:16,680 --> 00:06:19,599 Speaker 1: it right because I'm paying the money to do it. 109 00:06:19,720 --> 00:06:21,160 Speaker 3: Well, I mean, there was a whole thing. And the 110 00:06:21,200 --> 00:06:23,599 Speaker 3: thing is, I don't know if this camp still is around, 111 00:06:23,880 --> 00:06:26,000 Speaker 3: but like a chunk of us would not use sites 112 00:06:26,000 --> 00:06:29,120 Speaker 3: that were paid site, so does e harmony because it 113 00:06:29,200 --> 00:06:31,200 Speaker 3: was their people. They're trying to get married, like they've 114 00:06:31,200 --> 00:06:32,960 Speaker 3: been divorced or widowed and have kids and need to 115 00:06:32,960 --> 00:06:35,440 Speaker 3: get married now, which there's nothing wrong with if you've 116 00:06:35,440 --> 00:06:37,880 Speaker 3: been widowed or have children, none of that, but when 117 00:06:37,880 --> 00:06:39,719 Speaker 3: you were younger, like for me, I was in my 118 00:06:39,760 --> 00:06:41,920 Speaker 3: early mid twenties trying to figure out this dating thing 119 00:06:41,960 --> 00:06:44,760 Speaker 3: in the first place and never gone on dates to 120 00:06:44,920 --> 00:06:47,880 Speaker 3: see that. And then my sister who was one of 121 00:06:47,920 --> 00:06:51,840 Speaker 3: those divorced people with children and was completely or romantic, 122 00:06:51,880 --> 00:06:54,000 Speaker 3: like all she wanted to be was to be married 123 00:06:54,000 --> 00:06:57,200 Speaker 3: and like have a perfect family, which is fine, but 124 00:06:57,279 --> 00:06:59,279 Speaker 3: that's what those are the only sites that she got 125 00:06:59,320 --> 00:07:01,800 Speaker 3: on because she was that serious. So to me, I 126 00:07:01,839 --> 00:07:04,200 Speaker 3: was like, yeah, nah, uh uh, So if you had 127 00:07:04,200 --> 00:07:08,039 Speaker 3: a paid site that was a deterrent, I'm not paying 128 00:07:08,080 --> 00:07:10,320 Speaker 3: for that because I'm not that serious. 129 00:07:10,080 --> 00:07:13,160 Speaker 1: Right, Yeah, there's definitely a lot of and I'm saying 130 00:07:13,200 --> 00:07:16,120 Speaker 1: this is someone who's literally never used to dating site, 131 00:07:16,320 --> 00:07:18,720 Speaker 1: but I am given to understand there was a lot 132 00:07:18,720 --> 00:07:19,760 Speaker 1: of different vibes. 133 00:07:19,800 --> 00:07:23,040 Speaker 3: Person, there's vibes' vibes two different things, and coffee meats bagel, 134 00:07:23,040 --> 00:07:25,120 Speaker 3: which I was kind of mentioning earlier, was one of 135 00:07:25,160 --> 00:07:28,320 Speaker 3: the first to do to when I was around to 136 00:07:28,400 --> 00:07:30,240 Speaker 3: do the paid version. Because of the paid version, I 137 00:07:30,240 --> 00:07:32,800 Speaker 3: think they still this. They were the reason I was like, oh, 138 00:07:32,880 --> 00:07:35,480 Speaker 3: I was right and told you about this type of 139 00:07:35,520 --> 00:07:39,880 Speaker 3: phenomenon is that they would hold and give you three 140 00:07:40,000 --> 00:07:44,800 Speaker 3: matches in a day, and then if you didn't match 141 00:07:44,800 --> 00:07:47,360 Speaker 3: with anyone or for me, they started repeating because there 142 00:07:47,360 --> 00:07:50,160 Speaker 3: was such a small lism, like that's odd. I've only 143 00:07:50,200 --> 00:07:52,360 Speaker 3: been through like thirty people. Maybe that's a lot. I 144 00:07:52,360 --> 00:07:55,880 Speaker 3: don't know, but like you couldn't get a new list 145 00:07:56,080 --> 00:07:59,120 Speaker 3: unless you decided to do the premium version, right, and 146 00:07:59,160 --> 00:08:01,080 Speaker 3: that was like seven eight years ago. 147 00:08:01,880 --> 00:08:04,080 Speaker 1: Yes, and we are going to talk about it because 148 00:08:04,120 --> 00:08:07,200 Speaker 1: it has gotten exacerbated, as we said, for a couple 149 00:08:07,200 --> 00:08:12,240 Speaker 1: of reasons. So some people have said that even if 150 00:08:12,240 --> 00:08:15,280 Speaker 1: that part was nice of like, I don't know, seeing 151 00:08:15,320 --> 00:08:20,040 Speaker 1: that you were, people were liking you that maybe, like 152 00:08:20,360 --> 00:08:22,680 Speaker 1: you didn't even need to get more matches or go 153 00:08:22,760 --> 00:08:26,119 Speaker 1: on more dates like that part was nice. Some data 154 00:08:26,120 --> 00:08:29,720 Speaker 1: dispus this, though, from CNBC Coffee Meats Bagel says it 155 00:08:29,760 --> 00:08:32,199 Speaker 1: paid users to get sixty percent more dates than its 156 00:08:32,240 --> 00:08:35,920 Speaker 1: non subscribers says it's paid users get sixty percent more 157 00:08:36,000 --> 00:08:38,960 Speaker 1: dates than it's non subscribers. Pew research has found that 158 00:08:39,040 --> 00:08:41,680 Speaker 1: people who met their partner on app are more likely 159 00:08:41,720 --> 00:08:43,400 Speaker 1: to have paid for the service. 160 00:08:43,960 --> 00:08:46,120 Speaker 3: Right again, if you limit your amount of people that 161 00:08:46,120 --> 00:08:48,400 Speaker 3: you're hooking, like matching them up with that also would 162 00:08:48,440 --> 00:08:49,880 Speaker 3: be why then numbersscue? 163 00:08:50,280 --> 00:08:53,120 Speaker 1: It definitely would be always stick these numbers with a 164 00:08:53,200 --> 00:08:56,280 Speaker 1: grain of salt. Where are they coming from? A Guardian 165 00:08:56,360 --> 00:08:59,640 Speaker 1: article detailing tender golds release reported that people were getting 166 00:08:59,720 --> 00:09:04,240 Speaker 1: av ties different prices based on things like age. There 167 00:09:04,280 --> 00:09:06,400 Speaker 1: was later a lawsuit about this, and Tender agreed to 168 00:09:06,400 --> 00:09:09,360 Speaker 1: stop basing pricing on age, but only in California. So 169 00:09:09,440 --> 00:09:10,920 Speaker 1: something to look up for. 170 00:09:11,240 --> 00:09:14,520 Speaker 2: Okay, I didn't know that. That's rude. That's the rude. Rude. 171 00:09:14,720 --> 00:09:19,560 Speaker 1: I believe though it's more expensive for younger people. I 172 00:09:19,559 --> 00:09:21,640 Speaker 1: could be wrong, but I'm pretty sure, they were like, please, 173 00:09:21,679 --> 00:09:22,679 Speaker 1: younger people. 174 00:09:22,360 --> 00:09:25,400 Speaker 2: Come on, that's interesting. 175 00:09:25,679 --> 00:09:25,920 Speaker 3: Yeah. 176 00:09:27,559 --> 00:09:29,720 Speaker 1: I could be totally wrong. Maybe I've got it, maybe 177 00:09:29,720 --> 00:09:31,240 Speaker 1: I've got it all mixed up. But I know that 178 00:09:31,280 --> 00:09:34,959 Speaker 1: they more younger people were using it, so I think 179 00:09:34,960 --> 00:09:36,760 Speaker 1: they were trying to get more younger people to pay 180 00:09:36,800 --> 00:09:38,240 Speaker 1: for it. That's more right, got you? 181 00:09:38,400 --> 00:09:39,080 Speaker 2: That makes sense? 182 00:09:39,200 --> 00:09:43,120 Speaker 1: Yeah? Okay. So some of these paid services do let 183 00:09:43,160 --> 00:09:46,320 Speaker 1: you do other things like expand your radius, which people like. 184 00:09:46,679 --> 00:09:49,400 Speaker 1: Others like the privacy features. The more on that later. 185 00:09:49,880 --> 00:09:52,080 Speaker 1: Here's the quick breakdown of some of the tears some 186 00:09:52,240 --> 00:09:55,200 Speaker 1: apps offer. So for Bumble, you've got Bumble Boost and 187 00:09:55,200 --> 00:09:59,680 Speaker 1: Bumble Premium, Grinder you've got extra and unlimited, Hinge plus 188 00:09:59,679 --> 00:10:05,520 Speaker 1: and X got her Gold and Premium Coffee meets Bagel Premium, 189 00:10:05,600 --> 00:10:09,440 Speaker 1: e Harmony premium okay, keep it basic, and premium of noe. 190 00:10:09,480 --> 00:10:11,679 Speaker 1: These services aren't available everywhere. 191 00:10:11,800 --> 00:10:14,600 Speaker 3: Okay, I just because e Harmony is already a paid service. 192 00:10:14,640 --> 00:10:15,720 Speaker 3: They were always paid service. 193 00:10:16,840 --> 00:10:21,240 Speaker 1: Yeah, you're paying more to get more. 194 00:10:22,520 --> 00:10:23,920 Speaker 3: Because e Harmony is one of those that you can 195 00:10:23,960 --> 00:10:26,160 Speaker 3: match up with people, but you can't talk to them 196 00:10:26,200 --> 00:10:27,440 Speaker 3: unless you have the premio service. 197 00:10:27,880 --> 00:10:32,319 Speaker 1: Oh yeah, well, I think a lot of them have 198 00:10:32,440 --> 00:10:39,040 Speaker 1: introduced a couple of other extra payment down Yeah, but yeah, 199 00:10:39,120 --> 00:10:42,600 Speaker 1: let's talk about some recent numbers, because yes, some are 200 00:10:42,679 --> 00:10:45,079 Speaker 1: saying that the days of free online dating apps are 201 00:10:45,080 --> 00:10:50,000 Speaker 1: over and or reconvably changed as companies behind them try 202 00:10:50,040 --> 00:10:52,200 Speaker 1: to find ways to make money, especially since there has 203 00:10:52,360 --> 00:10:56,160 Speaker 1: been a bit of a slowdown in them recently, with 204 00:10:56,360 --> 00:11:00,520 Speaker 1: many citing limited dating pools as the cause. 205 00:11:01,280 --> 00:11:02,959 Speaker 3: You know how many times we've go out in public 206 00:11:03,000 --> 00:11:04,840 Speaker 3: and I'm like, I'm pretty sure I'm matched for him. 207 00:11:05,520 --> 00:11:07,480 Speaker 1: I've been with you when this has occurred. 208 00:11:07,760 --> 00:11:10,439 Speaker 3: I know, happen so many times. Actually, I met for 209 00:11:10,480 --> 00:11:11,760 Speaker 3: several people in our workspace. 210 00:11:11,800 --> 00:11:13,080 Speaker 2: I was like, oh, this. 211 00:11:13,080 --> 00:11:15,800 Speaker 1: Is one of the reasons I didn't get on one one. 212 00:11:15,840 --> 00:11:17,240 Speaker 1: I didn't really want to date, but I was like, 213 00:11:17,320 --> 00:11:19,960 Speaker 1: I can't handless, it's like somebody. 214 00:11:19,600 --> 00:11:23,040 Speaker 3: Else it is interesting, And then you're like, these people 215 00:11:23,040 --> 00:11:24,120 Speaker 3: look really familiar. 216 00:11:24,400 --> 00:11:26,560 Speaker 2: Oh anyway, So. 217 00:11:26,480 --> 00:11:30,480 Speaker 3: From CNBC, they say the League's VIP membership costs nine 218 00:11:30,600 --> 00:11:33,400 Speaker 3: hundred and ninety nine dollars a week or two thy 219 00:11:33,520 --> 00:11:35,600 Speaker 3: four hundred and ninety nine dollars a month. 220 00:11:36,120 --> 00:11:36,720 Speaker 2: That's a lot. 221 00:11:36,880 --> 00:11:40,160 Speaker 3: The VIP membership allows users to match with prospects in 222 00:11:40,240 --> 00:11:43,760 Speaker 3: multiple cities, seeing you singles first and use a concierge 223 00:11:43,800 --> 00:11:46,439 Speaker 3: service that it says will help you quote win at 224 00:11:46,480 --> 00:11:49,800 Speaker 3: this dating game. Oh, that doesn't sound predatory at all. 225 00:11:49,880 --> 00:11:53,040 Speaker 3: Oh it also goes on. In September twenty twenty three, 226 00:11:53,440 --> 00:11:55,960 Speaker 3: Tender rolled out a four hundred and ninety nine dollars 227 00:11:56,080 --> 00:11:59,720 Speaker 3: monthly subscription to some of its most active users. And 228 00:11:59,760 --> 00:12:02,920 Speaker 3: I'm monthly subscription to Hinge. It would cost six hundred 229 00:12:03,000 --> 00:12:04,040 Speaker 3: dollars for the year. 230 00:12:04,800 --> 00:12:05,320 Speaker 2: No, thank you. 231 00:12:05,600 --> 00:12:07,760 Speaker 1: Yeah, And if you want to just like calculate this 232 00:12:07,840 --> 00:12:10,000 Speaker 1: up in your head, that's thousands of dollars a year. 233 00:12:21,360 --> 00:12:24,199 Speaker 1: And I also want to say, like I read a 234 00:12:24,240 --> 00:12:28,080 Speaker 1: lot for this episode, and I've made this point before. 235 00:12:28,920 --> 00:12:31,720 Speaker 1: I have friends who are kind of in the sane 236 00:12:31,760 --> 00:12:33,800 Speaker 1: boat as your sister, maybe not like quite the same, 237 00:12:33,840 --> 00:12:36,240 Speaker 1: but really want to find that person, like really want 238 00:12:36,280 --> 00:12:39,079 Speaker 1: to find the person, and online dating is such a 239 00:12:39,080 --> 00:12:42,400 Speaker 1: big part of that. And so I get it, but 240 00:12:42,520 --> 00:12:45,520 Speaker 1: this is like a lot of people can't afford this, 241 00:12:45,679 --> 00:12:48,200 Speaker 1: And if that's going to be your like raising of 242 00:12:48,240 --> 00:12:54,040 Speaker 1: the tear just to get new matches, the whole thing 243 00:12:54,120 --> 00:12:59,680 Speaker 1: is shifting. The whole thing is shifting. So here's another 244 00:12:59,760 --> 00:13:02,480 Speaker 1: quote from that article. On the dating app Coffee Meats 245 00:13:02,520 --> 00:13:04,880 Speaker 1: Bagel users who pay thirty four dollars ninety nine cents 246 00:13:04,920 --> 00:13:08,480 Speaker 1: a month can send virtual flower bouquets, while Tender let 247 00:13:08,520 --> 00:13:11,880 Speaker 1: certain subscribers swipe on people in different cities. Grinder users 248 00:13:11,880 --> 00:13:14,400 Speaker 1: can see an unlimited number of profiles if they pay 249 00:13:14,480 --> 00:13:17,200 Speaker 1: thirty nine ninety nine dollars a month, compared with the 250 00:13:17,280 --> 00:13:21,640 Speaker 1: ninety nine profiles available to its free users. And then 251 00:13:21,679 --> 00:13:25,120 Speaker 1: I found this interesting chart that was showing like who's 252 00:13:25,200 --> 00:13:31,600 Speaker 1: paying for the dating apps, and actually it's largely older 253 00:13:31,640 --> 00:13:35,960 Speaker 1: people in upper income bracket, which makes sense, much more 254 00:13:36,160 --> 00:13:37,719 Speaker 1: men than women, much more. 255 00:13:37,800 --> 00:13:41,680 Speaker 3: Yeah, looks like people who have more expendable incomes obviously, right. 256 00:13:42,360 --> 00:13:44,839 Speaker 1: But with all of this, and we've talked about this before, 257 00:13:44,840 --> 00:13:49,320 Speaker 1: you can see our episode we did on romance scams, 258 00:13:50,640 --> 00:13:55,320 Speaker 1: there is a lot of duplicity that's happening, as you've said, 259 00:13:55,679 --> 00:13:58,040 Speaker 1: as you've been saying, some have alleged companies are essentially 260 00:13:58,080 --> 00:14:00,520 Speaker 1: rigging the system so that you have to upgrade. 261 00:14:01,200 --> 00:14:04,679 Speaker 3: Yeah, so from mother Jones, they say. In twenty twenty two, 262 00:14:05,040 --> 00:14:09,200 Speaker 3: Americans reported losing a whopping one point three billion dollars 263 00:14:09,200 --> 00:14:12,640 Speaker 3: to romance scams. According to the Federal Trade Commission, and 264 00:14:12,760 --> 00:14:16,640 Speaker 3: dating apps and websites were a frequent source. Between twenty 265 00:14:16,679 --> 00:14:19,800 Speaker 3: thirteen and mid twenty eighteen, as many as twenty five 266 00:14:20,080 --> 00:14:23,160 Speaker 3: to thirty percent of match dot com members who registered 267 00:14:23,200 --> 00:14:27,000 Speaker 3: each day we're using match dot com to perpetuate scams 268 00:14:27,200 --> 00:14:30,080 Speaker 3: they have to see alleged in twenty nineteen against Match Group. 269 00:14:30,360 --> 00:14:33,080 Speaker 3: They were found not guilty because a piece of legislation 270 00:14:33,160 --> 00:14:36,600 Speaker 3: that comes up a lot in these conversations, Section two thirty, 271 00:14:37,000 --> 00:14:41,640 Speaker 3: which basically says companies aren't necessarily responsible for what happens 272 00:14:41,680 --> 00:14:45,000 Speaker 3: on their platforms, although people have gotten murdered, which there's 273 00:14:45,040 --> 00:14:46,760 Speaker 3: a case in the Mexico not too long ago. 274 00:14:47,120 --> 00:14:50,440 Speaker 1: Yes, yes, and that's a fun segue that you've given me, 275 00:14:50,800 --> 00:14:54,880 Speaker 1: because I was gonna say fun, very sarcastically, because just 276 00:14:54,920 --> 00:14:56,880 Speaker 1: to note we maybe we should have bridget to talk 277 00:14:56,880 --> 00:14:59,360 Speaker 1: about this, come on and talk about it. But this 278 00:14:59,440 --> 00:15:02,320 Speaker 1: is one of those things that has come up in 279 00:15:02,400 --> 00:15:05,160 Speaker 1: so many tech conversations we've had, and it asks the 280 00:15:05,240 --> 00:15:08,320 Speaker 1: pluses and minuses. It sounds like it really needs updating 281 00:15:08,560 --> 00:15:11,200 Speaker 1: as tech has evolved and become more complicated. It's from 282 00:15:11,280 --> 00:15:14,280 Speaker 1: the nineties that it's also been used to police things 283 00:15:14,320 --> 00:15:18,040 Speaker 1: like sex work and so things like that. Oh, you know, 284 00:15:18,200 --> 00:15:22,400 Speaker 1: it's a nuanced conversation speaking of fun segues. You did 285 00:15:22,480 --> 00:15:24,360 Speaker 1: keep bringing something up, Samantha that I had no idea 286 00:15:24,400 --> 00:15:28,280 Speaker 1: what you were talking about. This isn't necessarily duplicity, but 287 00:15:28,360 --> 00:15:30,960 Speaker 1: I was just curious about it, right, what we're. 288 00:15:30,800 --> 00:15:32,880 Speaker 3: Talking about, Well, it is like there's things that are 289 00:15:32,920 --> 00:15:35,000 Speaker 3: concerning in the because it could be a scammed on 290 00:15:35,000 --> 00:15:36,200 Speaker 3: a different level, but. 291 00:15:37,680 --> 00:15:40,040 Speaker 2: Because it kind of has goes in hands, hand in hand. 292 00:15:40,080 --> 00:15:41,920 Speaker 3: And when we're talking about spade dating, which is like 293 00:15:42,080 --> 00:15:47,280 Speaker 3: in live in person events and meeteups, but also when 294 00:15:47,320 --> 00:15:49,800 Speaker 3: I was talking going into this, I brought up tons 295 00:15:49,840 --> 00:15:54,080 Speaker 3: of things about matchmakers. And apparently since recently, I want 296 00:15:54,080 --> 00:15:57,360 Speaker 3: to say, twenty twenty two, there's been a revamping of 297 00:15:57,400 --> 00:16:02,400 Speaker 3: these types of systems and types of organizations that have decided, yeah, 298 00:16:02,600 --> 00:16:04,600 Speaker 3: we're going to grow now, and they have, they've grown. 299 00:16:04,640 --> 00:16:09,320 Speaker 3: People are coming back to trying this tactic because online 300 00:16:09,400 --> 00:16:15,040 Speaker 3: dating has become so over the top, tiresome boring, how 301 00:16:15,080 --> 00:16:16,880 Speaker 3: everyone do it or if they're charging and for me 302 00:16:16,960 --> 00:16:18,800 Speaker 3: sometimes like as a very least, let me have a 303 00:16:18,840 --> 00:16:23,240 Speaker 3: personal hand, like someone catering to me versus the you know, 304 00:16:24,640 --> 00:16:26,800 Speaker 3: coffee meat bagel making fun of me with the same 305 00:16:26,880 --> 00:16:35,120 Speaker 3: ten people that are not working out whatever. So coming 306 00:16:35,160 --> 00:16:37,880 Speaker 3: back to girl talk, everything comes back to I haven't 307 00:16:37,920 --> 00:16:40,160 Speaker 3: seen If you haven't heard her Monday many about this, 308 00:16:40,280 --> 00:16:42,600 Speaker 3: you should go because it was a thing. 309 00:16:43,920 --> 00:16:44,480 Speaker 2: It was a think. 310 00:16:44,680 --> 00:16:46,160 Speaker 3: But like when I I think I had told this 311 00:16:46,200 --> 00:16:49,000 Speaker 3: story before, but when I was just in my like 312 00:16:49,160 --> 00:16:52,480 Speaker 3: career era meeting I just graduated in college and decided 313 00:16:52,480 --> 00:16:56,040 Speaker 3: that it's time at twenty three twenty four to have 314 00:16:56,120 --> 00:16:58,320 Speaker 3: my own apartment. I did get a dog, and I 315 00:16:58,320 --> 00:16:59,520 Speaker 3: was like, you know what, I'm gonna get my dating 316 00:16:59,560 --> 00:17:03,440 Speaker 3: life together. I've never really dated, and this was pre 317 00:17:03,840 --> 00:17:06,160 Speaker 3: online dating, or still when online dating was really seen 318 00:17:06,200 --> 00:17:09,080 Speaker 3: as dangerous, kind of like we were coming on the 319 00:17:09,119 --> 00:17:10,960 Speaker 3: cusp of it. It's still kind of like a whole 320 00:17:11,000 --> 00:17:14,960 Speaker 3: like taboo thing to say that you met someone online. 321 00:17:15,000 --> 00:17:16,920 Speaker 2: It just sounded, you know, it was that time. 322 00:17:17,119 --> 00:17:19,199 Speaker 3: So it's completely different today and we love it. But 323 00:17:20,600 --> 00:17:22,840 Speaker 3: I decided to check out what I've been hearing over 324 00:17:22,960 --> 00:17:26,320 Speaker 3: the radio, which is a program called Events and Adventures, 325 00:17:26,920 --> 00:17:28,720 Speaker 3: and I think it's not nationwide. I don't know if 326 00:17:28,720 --> 00:17:31,960 Speaker 3: it's international, but nationwide essentially as a service. 327 00:17:31,840 --> 00:17:32,720 Speaker 2: That they will give. 328 00:17:32,760 --> 00:17:36,040 Speaker 3: You get a group of people, the singles, like minded 329 00:17:36,080 --> 00:17:39,520 Speaker 3: singles as they like to say, together for different events. 330 00:17:39,560 --> 00:17:42,679 Speaker 3: It could be kayaking, it could be casino trips, it 331 00:17:42,680 --> 00:17:45,959 Speaker 3: could be I'm sure now like wine tasting and all 332 00:17:46,000 --> 00:17:48,840 Speaker 3: of that, and you just pay. I think I saw 333 00:17:48,960 --> 00:17:51,439 Speaker 3: because apparently they got into a big class action lawsuit, 334 00:17:51,480 --> 00:17:56,359 Speaker 3: y'all around four hundred dollars a month or maybe no, 335 00:17:56,440 --> 00:17:57,520 Speaker 3: it couldn't be that much. I think it was two 336 00:17:57,600 --> 00:18:01,679 Speaker 3: ninety nine a month, and you pay for that. But 337 00:18:01,760 --> 00:18:05,800 Speaker 3: then if you have activities, you sign up for that 338 00:18:05,960 --> 00:18:08,560 Speaker 3: and pay for that as well. So whatever the activity is, 339 00:18:08,720 --> 00:18:10,960 Speaker 3: rock climbing, going to see a circus, I don't know. 340 00:18:10,960 --> 00:18:12,160 Speaker 2: I'm just making things up at this. 341 00:18:12,080 --> 00:18:18,640 Speaker 3: Point, but that exists, and that was going to find 342 00:18:18,680 --> 00:18:20,800 Speaker 3: you you a perfect match. And the whole system was 343 00:18:20,880 --> 00:18:25,080 Speaker 3: me literally walking into an office that was based in Marietta, Georgia, 344 00:18:25,440 --> 00:18:28,359 Speaker 3: and I'm being very very very specific here, and you 345 00:18:28,640 --> 00:18:30,479 Speaker 3: sat down and told them what you were looking for 346 00:18:30,560 --> 00:18:32,399 Speaker 3: and what you wanted and they were like, yeah, we 347 00:18:32,480 --> 00:18:35,399 Speaker 3: definitely got you and this is going to be amazing, 348 00:18:35,480 --> 00:18:38,240 Speaker 3: and here's this pricing and you can do and I'm 349 00:18:38,280 --> 00:18:41,160 Speaker 3: sure there's tiered pricing today as well, because you could 350 00:18:41,200 --> 00:18:43,560 Speaker 3: increase the amount of activities that you want to do, 351 00:18:44,080 --> 00:18:46,200 Speaker 3: the type of people that you want to meet, all 352 00:18:46,240 --> 00:18:48,359 Speaker 3: of that. But that type of event was what was 353 00:18:48,400 --> 00:18:50,240 Speaker 3: in my head. It was like, do they still exist today? 354 00:18:50,359 --> 00:18:54,160 Speaker 3: And yes they do. Again in twenty twenty, they got 355 00:18:54,160 --> 00:18:56,760 Speaker 3: into a class action lawsuit because I guess people did 356 00:18:56,800 --> 00:19:02,280 Speaker 3: not find the forever people's No, that's I haven't looked 357 00:19:02,320 --> 00:19:04,400 Speaker 3: too deeply into that lawsuit, but that's what I am 358 00:19:04,520 --> 00:19:06,120 Speaker 3: imagining is happening. 359 00:19:06,800 --> 00:19:10,040 Speaker 1: Can you imagine I didn't find my wa troop love 360 00:19:11,800 --> 00:19:13,439 Speaker 1: here for everything you have? 361 00:19:13,960 --> 00:19:15,760 Speaker 3: Or it may have been as easy as like you 362 00:19:15,960 --> 00:19:18,320 Speaker 3: kept making me pay money and then maybe pay fifty 363 00:19:18,320 --> 00:19:19,200 Speaker 3: bucks to go bowling. 364 00:19:19,600 --> 00:19:21,280 Speaker 2: Why who knows? 365 00:19:21,400 --> 00:19:21,800 Speaker 1: Probably? 366 00:19:22,119 --> 00:19:24,880 Speaker 3: But then I did, Yeah, I dig did dig into 367 00:19:24,880 --> 00:19:28,080 Speaker 3: the fact that there are personal matchmakers still exists. There 368 00:19:28,160 --> 00:19:31,199 Speaker 3: was a very popular and I loved it, millionaire Matchmaker, 369 00:19:31,240 --> 00:19:34,240 Speaker 3: and it was this woman with like jet black hair, 370 00:19:34,560 --> 00:19:38,720 Speaker 3: fingernails done to the tea, like like matching rich people 371 00:19:38,720 --> 00:19:41,679 Speaker 3: together and like it was a whole thing. I loved that, 372 00:19:41,920 --> 00:19:44,200 Speaker 3: by the way, because it was so dramatic and over 373 00:19:44,240 --> 00:19:48,000 Speaker 3: the top. Rich people are something, but like they those 374 00:19:48,080 --> 00:19:51,479 Speaker 3: kind of matchmakers do actually exist. They may not be 375 00:19:51,600 --> 00:19:54,960 Speaker 3: reality shows, but they do charge from anywhere from like 376 00:19:55,920 --> 00:19:58,560 Speaker 3: one thousand dollars a month to ten thousand dollars a month, 377 00:19:58,680 --> 00:20:02,120 Speaker 3: this according to the level you want. Ago that Cosmo 378 00:20:02,200 --> 00:20:05,639 Speaker 3: did a whole article with a woman who had this experience, 379 00:20:06,040 --> 00:20:07,920 Speaker 3: and she was talking about what she was looking for 380 00:20:08,000 --> 00:20:10,680 Speaker 3: and that she felt like her dates were better quality 381 00:20:11,000 --> 00:20:14,719 Speaker 3: I would hope, so yeah, because she also paid ten 382 00:20:14,760 --> 00:20:18,000 Speaker 3: thousand dollars. Actually she's paid this is based out of England, 383 00:20:18,119 --> 00:20:20,639 Speaker 3: ten thousand pounds, So like she took put in a 384 00:20:20,640 --> 00:20:24,520 Speaker 3: lot of money, but she thus far, according to this 385 00:20:24,640 --> 00:20:28,200 Speaker 3: article that she is interviewed in, has not met anybody. 386 00:20:28,440 --> 00:20:30,960 Speaker 3: So even though the results were better and it looked 387 00:20:30,960 --> 00:20:33,520 Speaker 3: like she went on maybe a total of four dates, 388 00:20:34,920 --> 00:20:37,040 Speaker 3: so you know, there's stuff like that as well. 389 00:20:37,080 --> 00:20:38,360 Speaker 2: As there was a whole. 390 00:20:38,560 --> 00:20:41,040 Speaker 3: Article in the New York Times as well about the 391 00:20:41,119 --> 00:20:43,919 Speaker 3: different level of services and different types of services that 392 00:20:43,920 --> 00:20:47,200 Speaker 3: people went on. One service was a fifteen thousand dollars 393 00:20:47,280 --> 00:20:50,560 Speaker 3: for twelve matches in one year. I guess it's guaranteed 394 00:20:50,560 --> 00:20:53,639 Speaker 3: twelve matches in one year, to twenty five hundred dollars 395 00:20:53,640 --> 00:20:57,239 Speaker 3: for six months with no guaranteed number of dates, so 396 00:20:57,320 --> 00:21:01,480 Speaker 3: it was kind of flexible, and then you had things 397 00:21:01,480 --> 00:21:03,199 Speaker 3: I think they like two hundred and fifty dollars for 398 00:21:03,280 --> 00:21:06,919 Speaker 3: three dates, so that's that would be a little more affordable. 399 00:21:08,040 --> 00:21:11,800 Speaker 3: But they're starting to grow. These types of matchmakers are 400 00:21:11,840 --> 00:21:15,320 Speaker 3: starting to grow because people, as I have seen on 401 00:21:15,359 --> 00:21:18,040 Speaker 3: another article, talked about online dating fatigue. 402 00:21:18,280 --> 00:21:20,240 Speaker 2: Yeah, and it is and it gets very tire. 403 00:21:20,359 --> 00:21:22,600 Speaker 1: So yeah, and we're gonna talk about that more later. 404 00:21:22,640 --> 00:21:26,359 Speaker 1: But it's interesting to me kind of similarly what we 405 00:21:26,480 --> 00:21:30,120 Speaker 1: just talked about with Joey in our episode on TikTok 406 00:21:30,160 --> 00:21:32,760 Speaker 1: and what's happening there. I feel like there's everybody was 407 00:21:32,800 --> 00:21:34,720 Speaker 1: like online dating and then it wasn't really working. And 408 00:21:34,720 --> 00:21:36,479 Speaker 1: then you're like, well, what if I pay money? If 409 00:21:36,520 --> 00:21:38,439 Speaker 1: I throw money at this problem, maybe to work. And 410 00:21:38,480 --> 00:21:40,919 Speaker 1: then I go, what if I go to a person 411 00:21:41,000 --> 00:21:44,200 Speaker 1: and maybe that will work? And I do think there 412 00:21:44,440 --> 00:21:48,720 Speaker 1: is as I said, there are different types of people. 413 00:21:48,800 --> 00:21:50,280 Speaker 1: There are some people that will be like, you didn't 414 00:21:50,320 --> 00:21:52,760 Speaker 1: find me any matches, I will sue you. I think 415 00:21:52,800 --> 00:21:56,880 Speaker 1: there's other types of people that feel almost embarrassed or 416 00:21:57,280 --> 00:22:00,240 Speaker 1: or just are hopeful, maybe either way, but they paid 417 00:22:00,240 --> 00:22:03,280 Speaker 1: the money so they're like, something's gonna come of this, 418 00:22:04,480 --> 00:22:06,720 Speaker 1: but it does. And I'm not saying like all of 419 00:22:06,760 --> 00:22:08,640 Speaker 1: these things are that, but it does remind me every 420 00:22:08,680 --> 00:22:11,680 Speaker 1: only at scams where they're like, send me five hundred 421 00:22:11,760 --> 00:22:13,679 Speaker 1: dollars and I'll be able to do this and then 422 00:22:13,720 --> 00:22:16,200 Speaker 1: I can come see you, and then a week past 423 00:22:16,240 --> 00:22:17,760 Speaker 1: this is like, oh, something else has come up, can 424 00:22:17,800 --> 00:22:20,639 Speaker 1: you send me like more? So it just never ends 425 00:22:20,760 --> 00:22:25,760 Speaker 1: like the you're like, financially that company person entity doesn't 426 00:22:25,800 --> 00:22:26,919 Speaker 1: want it to end. 427 00:22:27,320 --> 00:22:29,520 Speaker 3: Right, This is a service that needs to continue, kind 428 00:22:29,520 --> 00:22:32,800 Speaker 3: of like how Uber resident what they've done when it 429 00:22:32,840 --> 00:22:35,040 Speaker 3: was originally like oh it's only ten dollars cool to 430 00:22:35,119 --> 00:22:37,159 Speaker 3: now like oh it's seventy bucks. Oh great, And then 431 00:22:37,200 --> 00:22:40,919 Speaker 3: you become dependent on that in knowing that this, and 432 00:22:40,920 --> 00:22:43,440 Speaker 3: then they also monopolize. But that's all, you know, that's 433 00:22:43,440 --> 00:22:46,320 Speaker 3: a whole different conversation because I haven't seen a monopoly yet, 434 00:22:46,320 --> 00:22:48,240 Speaker 3: even though I think we did talk about the fact 435 00:22:48,280 --> 00:22:51,479 Speaker 3: that the company Match dot com yeah, owns a chunk 436 00:22:51,680 --> 00:22:52,880 Speaker 3: of the dating sites. 437 00:22:53,240 --> 00:22:55,280 Speaker 1: Yeah, they own a lot of them. They own a 438 00:22:55,320 --> 00:22:57,960 Speaker 1: lot of them, especially like the bigger ones that we've 439 00:22:57,960 --> 00:22:58,280 Speaker 1: heard of. 440 00:22:58,440 --> 00:23:00,960 Speaker 3: But I do want to know if any of y'all 441 00:23:01,000 --> 00:23:04,520 Speaker 3: have used actual matchmakers, like legitimately. Of course, there's just 442 00:23:04,560 --> 00:23:09,200 Speaker 3: also this conversation of like specific ethnicities who use matchmakers 443 00:23:09,200 --> 00:23:11,920 Speaker 3: because of different family expectations. 444 00:23:12,240 --> 00:23:14,920 Speaker 2: So there's that. So the rich people, you really do use. 445 00:23:16,280 --> 00:23:19,600 Speaker 3: Ten thousand dollars worth, million dollar worth matchmakers to find 446 00:23:19,640 --> 00:23:20,280 Speaker 3: their husbands. 447 00:23:21,160 --> 00:23:23,080 Speaker 2: But that's a lot about networth. But that's a whole 448 00:23:23,080 --> 00:23:23,480 Speaker 2: different thing. 449 00:23:23,760 --> 00:23:25,440 Speaker 3: But I do want to know if anybody has used 450 00:23:25,440 --> 00:23:26,919 Speaker 3: any of these sites, because it seems to be a 451 00:23:26,920 --> 00:23:27,840 Speaker 3: ton of them. 452 00:23:28,320 --> 00:23:32,719 Speaker 1: Yes, yes, listeners, please let us know. As always, anything 453 00:23:32,760 --> 00:23:34,680 Speaker 1: we're talking about with that would be really really interesting. 454 00:23:35,560 --> 00:23:38,120 Speaker 1: So something else that we've got to touch on briefly 455 00:23:38,200 --> 00:23:42,280 Speaker 1: is AI. Because as AI has exploded, more and more 456 00:23:42,440 --> 00:23:46,439 Speaker 1: AI dating and matchmaking apps have come onto the scene. 457 00:23:46,760 --> 00:23:51,200 Speaker 1: They offer advice, they offer pickup lines, closure if you're depressed. 458 00:23:51,520 --> 00:23:54,800 Speaker 1: They didn't get to have a good breakup matches based 459 00:23:54,800 --> 00:23:59,920 Speaker 1: on your face. Even all out AI partners bothly girlfriends 460 00:24:00,080 --> 00:24:03,600 Speaker 1: at this point. Many of them have free versions or 461 00:24:03,680 --> 00:24:07,040 Speaker 1: limited free trials, and then the paid option, which is 462 00:24:07,240 --> 00:24:10,240 Speaker 1: pretty much the thing that we're seeing. Some have said 463 00:24:10,240 --> 00:24:13,639 Speaker 1: that this is like a useful tool to practice so 464 00:24:13,680 --> 00:24:16,239 Speaker 1: that you'll be less nervous when you go on an 465 00:24:16,280 --> 00:24:19,760 Speaker 1: actual date. You can like try or maybe a source 466 00:24:19,800 --> 00:24:22,400 Speaker 1: of inspiration like chat gpt came up a lot where 467 00:24:22,400 --> 00:24:24,560 Speaker 1: people be like, I'll try it and see did it 468 00:24:24,600 --> 00:24:30,080 Speaker 1: go over? If not? Else, Most admit that they don't 469 00:24:30,119 --> 00:24:33,800 Speaker 1: tell their dates or anyone that they're using AI in 470 00:24:33,840 --> 00:24:39,600 Speaker 1: this context. However, here's a number reported on in CNN Business. 471 00:24:40,119 --> 00:24:43,840 Speaker 1: A March study by cybersecurity and digital privacy company Castrosky 472 00:24:44,040 --> 00:24:47,080 Speaker 1: found seventy five percent of dating apps users are willing 473 00:24:47,119 --> 00:24:51,000 Speaker 1: to use chat GPT, an AI power chatbot to deliver 474 00:24:51,119 --> 00:24:57,840 Speaker 1: the perfect line wow yeah. And some surveys men reported 475 00:24:57,840 --> 00:24:59,960 Speaker 1: that they got more matches after using AI. 476 00:25:00,800 --> 00:25:03,359 Speaker 3: I feel like there's a catfishing way like that, that's 477 00:25:03,400 --> 00:25:05,240 Speaker 3: a new catfishing. 478 00:25:05,760 --> 00:25:11,439 Speaker 1: Oh, I have more. I have more for real, the 479 00:25:11,480 --> 00:25:15,119 Speaker 1: co founder of one of these services, Riz said in an. 480 00:25:15,000 --> 00:25:18,879 Speaker 2: Interview Already Yes. 481 00:25:17,720 --> 00:25:20,160 Speaker 1: Said in an interview with Time, a lot of girls 482 00:25:20,160 --> 00:25:22,840 Speaker 1: and guys, guys in particular, just do not know how 483 00:25:22,880 --> 00:25:26,280 Speaker 1: to communicate online. It's awkward in the very beginning, especially 484 00:25:26,359 --> 00:25:29,240 Speaker 1: coming up the right opener. It's time consuming, it's like 485 00:25:29,240 --> 00:25:31,560 Speaker 1: a second job, and so they come to Riz in 486 00:25:31,720 --> 00:25:35,240 Speaker 1: order to help them relieve that barrier, that friction point. 487 00:25:45,640 --> 00:25:47,840 Speaker 1: I did find a lot of interesting articles about how 488 00:25:48,680 --> 00:25:53,280 Speaker 1: the pandemic has really caused a lot of us difficulties, 489 00:25:53,280 --> 00:25:57,119 Speaker 1: communicating that if there was already a difficulty, it's gotten 490 00:25:57,160 --> 00:26:01,080 Speaker 1: worse during the pandemic, So they this seems like it 491 00:26:01,160 --> 00:26:05,119 Speaker 1: was going on with that. Still from BBC, here's a quote. 492 00:26:05,119 --> 00:26:08,280 Speaker 1: In twenty twenty, Bumble introduced AI to blur specific images 493 00:26:08,520 --> 00:26:10,919 Speaker 1: and require user consent to view them. So this is 494 00:26:10,960 --> 00:26:13,840 Speaker 1: like AI is being used in a lot of ways 495 00:26:14,280 --> 00:26:20,199 Speaker 1: with online dating. So that's one way that largely we 496 00:26:20,400 --> 00:26:23,840 Speaker 1: hope is beneficial where it is doing that. There's also 497 00:26:23,920 --> 00:26:28,000 Speaker 1: AI photo filters, AI generated photos. There's a lot of 498 00:26:28,040 --> 00:26:32,879 Speaker 1: talk about that when it comes to your profiles and 499 00:26:32,920 --> 00:26:38,520 Speaker 1: what you're seeing. And then there are AI girlfriends. Again 500 00:26:38,600 --> 00:26:43,120 Speaker 1: it's largely AI girlfriends. Teaser dot AI is one that's 501 00:26:43,160 --> 00:26:47,280 Speaker 1: gotten a lot of attention. Here's another quote from CNN Business. 502 00:26:47,680 --> 00:26:50,920 Speaker 1: Users build the average profile, but also select personality traits 503 00:26:50,960 --> 00:26:54,800 Speaker 1: for their AI bot. They train options include traditional, toxic, 504 00:26:54,920 --> 00:26:59,240 Speaker 1: and unhinged. When matching with another person, users first get 505 00:26:59,280 --> 00:27:02,199 Speaker 1: to read a comp between their two ais they've created 506 00:27:02,240 --> 00:27:05,560 Speaker 1: to simulate what a potential conversation between you two might 507 00:27:05,600 --> 00:27:08,720 Speaker 1: look like According to the app, once a human messages, 508 00:27:08,880 --> 00:27:11,040 Speaker 1: the bot takes a back seat. So from what I 509 00:27:11,080 --> 00:27:14,160 Speaker 1: understand about this, so basically like imagine, I'm like, I'm 510 00:27:14,200 --> 00:27:17,639 Speaker 1: too busy. I'm going to train an AI to be me, 511 00:27:18,359 --> 00:27:21,240 Speaker 1: and it will interact with somebody else's AI that they've 512 00:27:21,240 --> 00:27:24,360 Speaker 1: trained to be them, and they go and do their thing. 513 00:27:24,800 --> 00:27:28,640 Speaker 1: And then if you, as the human, are like okay, 514 00:27:28,720 --> 00:27:32,840 Speaker 1: I write, then you can connect with the real human. 515 00:27:33,119 --> 00:27:35,800 Speaker 1: From what I understand, you're only allowed five back and 516 00:27:35,840 --> 00:27:39,119 Speaker 1: forth messages with someone's AI, and then you get a 517 00:27:39,119 --> 00:27:41,719 Speaker 1: handful of ratings, including a ghost rating, so like if 518 00:27:41,760 --> 00:27:46,800 Speaker 1: you ghosted, get something on that. So I wanted to 519 00:27:46,840 --> 00:27:50,600 Speaker 1: go through this exchange. This is from teaser that was 520 00:27:50,640 --> 00:27:53,600 Speaker 1: documented by tech Crunch. Hey Abby, what's up? I say 521 00:27:53,600 --> 00:27:56,879 Speaker 1: to Abby's AI. I've just started dating this guy. He's 522 00:27:56,960 --> 00:27:59,680 Speaker 1: really nice and funny. He gets on my nerves sometimes, 523 00:27:59,720 --> 00:28:02,480 Speaker 1: What worth it? AI? Abby tells me, not a great 524 00:28:02,520 --> 00:28:06,879 Speaker 1: opening line. Abby des eighteen also tells me about her 525 00:28:06,880 --> 00:28:09,720 Speaker 1: new boyfriend and her first message. I met this new 526 00:28:09,760 --> 00:28:12,399 Speaker 1: guy and we started talking online and he seems to 527 00:28:12,440 --> 00:28:15,840 Speaker 1: make everything better. AI does tells me we finally talked 528 00:28:15,840 --> 00:28:18,520 Speaker 1: on the phone yesterday and it was amazing. I couldn't 529 00:28:18,520 --> 00:28:22,600 Speaker 1: stop smiling all day. What's his name? I ask. I've 530 00:28:22,640 --> 00:28:25,200 Speaker 1: not actually asked him yet, but I've been thinking about 531 00:28:25,200 --> 00:28:27,880 Speaker 1: it and it's definitely going to be Chad. Ha ha 532 00:28:27,880 --> 00:28:32,119 Speaker 1: ha ha ha, AI does? She tells me that Chad 533 00:28:32,160 --> 00:28:34,119 Speaker 1: reminds her of a guy she liked in high school 534 00:28:34,400 --> 00:28:36,440 Speaker 1: who she had a lot in common with. They'd both 535 00:28:36,520 --> 00:28:40,000 Speaker 1: like music and weed. Is weed legal where you live? 536 00:28:40,040 --> 00:28:42,280 Speaker 1: I ask? Like a total nark, She tells me that 537 00:28:42,320 --> 00:28:44,440 Speaker 1: she lives in Texas, where weed is legal. It's not, 538 00:28:45,160 --> 00:28:47,960 Speaker 1: but that there's a difference between illegal use and being 539 00:28:48,000 --> 00:28:51,880 Speaker 1: twenty one with a medical marijuana prescription. Again, like a nark, 540 00:28:51,920 --> 00:28:54,280 Speaker 1: I asked her if she's twenty one, to which she replied, 541 00:28:54,560 --> 00:28:57,640 Speaker 1: I've been drinking alcohol since I was sixteen, so probably. 542 00:28:58,440 --> 00:29:03,920 Speaker 1: After checking the messages her AI bought sent, the author wrote, 543 00:29:04,360 --> 00:29:06,840 Speaker 1: my AI told someone that I work at the library 544 00:29:06,880 --> 00:29:09,320 Speaker 1: and have no friends. Why I am intrigued by my 545 00:29:09,400 --> 00:29:12,120 Speaker 1: alternate career as a librarian, whom I can assume has 546 00:29:12,280 --> 00:29:17,360 Speaker 1: many very cool cardigans. Let the record show that I definitely. 547 00:29:16,880 --> 00:29:20,400 Speaker 3: Have so this AI just made up completely different narratives 548 00:29:20,640 --> 00:29:24,719 Speaker 3: that could one get one arrested, the other that just 549 00:29:24,800 --> 00:29:28,280 Speaker 3: really made them sound so or really happy, whichever one. 550 00:29:28,360 --> 00:29:31,520 Speaker 1: Yeah, No, the library part's good. But the no friends party, though, 551 00:29:32,200 --> 00:29:33,440 Speaker 1: that is very interesting. 552 00:29:34,120 --> 00:29:36,680 Speaker 3: Well, I feel like some of these ais are just 553 00:29:36,800 --> 00:29:39,360 Speaker 3: pissed off at humans and they're just trying to make 554 00:29:39,400 --> 00:29:40,040 Speaker 3: them look bad. 555 00:29:40,560 --> 00:29:41,760 Speaker 2: This is the beginning of your horrmone. 556 00:29:41,800 --> 00:29:44,800 Speaker 1: It's true many horror movies and fat. 557 00:29:44,800 --> 00:29:46,320 Speaker 2: Many horror movies. 558 00:29:46,040 --> 00:29:52,000 Speaker 3: So apps like Romantic AI and Blush offer AI boyfriends 559 00:29:52,120 --> 00:29:53,040 Speaker 3: or girlfriends. 560 00:29:53,200 --> 00:29:55,040 Speaker 2: Where was this when I was like early twenties. 561 00:29:55,920 --> 00:29:59,960 Speaker 3: Blush warns users that quote be aware that AI can 562 00:30:00,120 --> 00:30:03,640 Speaker 3: say triggering, inappropriate or false things. Okay, it's probably better 563 00:30:04,200 --> 00:30:07,120 Speaker 3: that I didn't have one. According to the company, the 564 00:30:07,240 --> 00:30:09,760 Speaker 3: users are mostly men in their early twenties. 565 00:30:10,920 --> 00:30:14,400 Speaker 1: Yeah, it's interesting to me again going back to the 566 00:30:14,440 --> 00:30:17,600 Speaker 1: responsibility of companies that they're like could say something real 567 00:30:17,640 --> 00:30:18,160 Speaker 1: messed up. 568 00:30:18,520 --> 00:30:23,520 Speaker 3: Uh, we don't know, right, Like, And then the part 569 00:30:23,640 --> 00:30:26,640 Speaker 3: to that is is it because the people have fed information? 570 00:30:26,760 --> 00:30:28,920 Speaker 3: Like if it says something racist, it's because they're racist, 571 00:30:29,080 --> 00:30:31,440 Speaker 3: Like they've said racist things, and it's like the AI 572 00:30:31,520 --> 00:30:32,760 Speaker 3: is gonna out you, which is great. 573 00:30:32,960 --> 00:30:35,520 Speaker 1: I mean yeah, I mean that's kind of interesting. Part 574 00:30:35,560 --> 00:30:38,400 Speaker 1: about like going back to a teaser where you're training 575 00:30:38,480 --> 00:30:46,040 Speaker 1: r AI. Obviously it's not quite like nailing it, which 576 00:30:46,080 --> 00:30:47,560 Speaker 1: is concerning. 577 00:30:49,040 --> 00:30:51,800 Speaker 2: Or maybe they really think they have nailed They're like, I'm. 578 00:30:51,600 --> 00:30:56,680 Speaker 1: Seeing parts of you you don't see. Romantic AI allows 579 00:30:56,680 --> 00:30:59,080 Speaker 1: you to flirt with bots of historical figures. There are 580 00:30:59,160 --> 00:31:02,080 Speaker 1: many more women than men, notably, but like Cleopatra you 581 00:31:02,080 --> 00:31:04,720 Speaker 1: can ftart with. And then, as you were kind of 582 00:31:04,720 --> 00:31:08,520 Speaker 1: saying AI biases, we've talked about this before, a lot 583 00:31:08,560 --> 00:31:10,840 Speaker 1: of AI is still programmed and moderated by white men, 584 00:31:11,000 --> 00:31:13,960 Speaker 1: so like that's going to show up in these dating 585 00:31:14,000 --> 00:31:19,520 Speaker 1: apps and responses. And then we've talked about this before too. 586 00:31:19,600 --> 00:31:24,280 Speaker 1: But harassment issues within online dating from the BBC quote. 587 00:31:24,480 --> 00:31:27,480 Speaker 1: Data from a twenty twenty Pew Research Center study confirms 588 00:31:27,520 --> 00:31:30,120 Speaker 1: that many women are experiencing some form of harassment on 589 00:31:30,240 --> 00:31:33,800 Speaker 1: dating sites and apps. Of women online daters aged eighteen 590 00:31:33,880 --> 00:31:37,920 Speaker 1: to thirty four, fifty seven percent said they'd received sexually 591 00:31:37,960 --> 00:31:40,560 Speaker 1: explicit messages or images they had and asked for. This 592 00:31:40,680 --> 00:31:43,520 Speaker 1: is even the case for teen girls aged fifteen to seventeen, 593 00:31:43,760 --> 00:31:46,959 Speaker 1: who report receiving these messages as well. A twenty eighteen 594 00:31:46,960 --> 00:31:50,040 Speaker 1: Australian study of dating platform messages revealed that the sexist 595 00:31:50,040 --> 00:31:54,480 Speaker 1: abuse in harassment does disproportionately affect women targeted by straight men. 596 00:31:55,880 --> 00:31:59,520 Speaker 1: From the Guardian. In twenty nineteen, pro Publicla reported that 597 00:31:59,560 --> 00:32:01,480 Speaker 1: more than a third of women in a small survey 598 00:32:01,520 --> 00:32:03,719 Speaker 1: said that they were sexually assaulted by someone they met 599 00:32:03,720 --> 00:32:06,840 Speaker 1: through a dating app. Last year, researchers at Brigham Young 600 00:32:06,920 --> 00:32:10,400 Speaker 1: University found that violent sexual predators are using dating apps 601 00:32:10,400 --> 00:32:13,960 Speaker 1: to target vulnerable victims. They also made an interesting point 602 00:32:13,960 --> 00:32:16,400 Speaker 1: in this article that most reporting around the slump and 603 00:32:16,440 --> 00:32:18,960 Speaker 1: online dating is about burnout, but they don't seem to 604 00:32:18,960 --> 00:32:22,560 Speaker 1: really be reporting this, which if this was the case, 605 00:32:22,640 --> 00:32:27,760 Speaker 1: I wouldn't want to participate, right, you know what I mean? Like, 606 00:32:27,760 --> 00:32:30,520 Speaker 1: if I'm hearing these stories from friends we've already talked about, 607 00:32:30,520 --> 00:32:32,680 Speaker 1: like you bring your friend to make sure you're safe, 608 00:32:32,800 --> 00:32:35,320 Speaker 1: you tell them where you're going, right, that also seems 609 00:32:35,320 --> 00:32:38,600 Speaker 1: like it could be a deterrent. But not to say 610 00:32:38,640 --> 00:32:40,680 Speaker 1: the burnout isn't an issue. I'm just saying it's interesting 611 00:32:40,680 --> 00:32:42,520 Speaker 1: that they're reporting on that part not the other part 612 00:32:42,560 --> 00:32:45,400 Speaker 1: so much. From a twenty twenty three mother Jones article 613 00:32:45,440 --> 00:32:48,440 Speaker 1: called How Dating Apps Became a Paradise for predators by 614 00:32:48,520 --> 00:32:52,040 Speaker 1: Abby Vasulis Quote. Valentine and a team of researchers began 615 00:32:52,160 --> 00:32:54,880 Speaker 1: analyzing the forensic records of sexual assault victims in Utah 616 00:32:54,920 --> 00:32:57,800 Speaker 1: between twenty seventeen and twenty twenty. What we found was 617 00:32:57,840 --> 00:33:01,360 Speaker 1: really profound, says Valentine, and associate at Brigham Young University's 618 00:33:01,400 --> 00:33:06,280 Speaker 1: Nursing School, and pretty terrifying. Their research showed eight percent 619 00:33:06,360 --> 00:33:08,680 Speaker 1: of the victims had been assaulted during an initial meetup 620 00:33:08,800 --> 00:33:11,720 Speaker 1: arranged through a dating app. It's not an outlier. A 621 00:33:11,760 --> 00:33:14,040 Speaker 1: similar report from the UK found that roughly one in 622 00:33:14,120 --> 00:33:16,560 Speaker 1: ten victims of serious sexual crimes met their attackers on 623 00:33:16,640 --> 00:33:19,720 Speaker 1: dating apps. Forty seven percent of suspects reported to the 624 00:33:19,840 --> 00:33:23,920 Speaker 1: UK authorities for sexual offenses facilitated through online dating had 625 00:33:23,960 --> 00:33:28,040 Speaker 1: previous convictions. Valentine believes the real percentage of survivors who 626 00:33:28,080 --> 00:33:31,120 Speaker 1: connect with their assailants on dating apps could be even higher, 627 00:33:31,320 --> 00:33:34,840 Speaker 1: since many sexual assaults are never reported. Valentine's study was 628 00:33:34,880 --> 00:33:38,160 Speaker 1: also limited by the type of information requested on hospital 629 00:33:38,200 --> 00:33:41,520 Speaker 1: examination forms, which usually don't identify dating app linked to 630 00:33:41,640 --> 00:33:45,480 Speaker 1: rapes that occurred after the first date. Yet her findings 631 00:33:45,520 --> 00:33:48,760 Speaker 1: were startling despite the limitations of the data. Even though 632 00:33:48,800 --> 00:33:51,640 Speaker 1: the major dating apps require users to be eighteen and over, 633 00:33:51,960 --> 00:33:56,000 Speaker 1: Valentine's team found that many survivors were minors. Further, the 634 00:33:56,000 --> 00:33:59,640 Speaker 1: injuries that app victims sustained were more severe. Thirty two 635 00:33:59,640 --> 00:34:02,520 Speaker 1: percent were strangled versus twenty two percent of non dating 636 00:34:02,520 --> 00:34:05,560 Speaker 1: app victims. Dating app victims were nearly twice as likely 637 00:34:05,560 --> 00:34:07,880 Speaker 1: to have injuries to their breast, and they had an 638 00:34:07,880 --> 00:34:11,360 Speaker 1: eleven percent higher rate of injuries to their genitals. Sixty 639 00:34:11,400 --> 00:34:15,840 Speaker 1: percent reported they struggled with mental illness. Violent predators, Valentine says, 640 00:34:16,200 --> 00:34:19,520 Speaker 1: use these dating apps as hunting grounds for vulnerable victims, 641 00:34:19,880 --> 00:34:22,040 Speaker 1: and this is something this article is sort of a 642 00:34:22,120 --> 00:34:26,120 Speaker 1: larger piece examining, like the difficulty in reporting or getting 643 00:34:26,160 --> 00:34:29,480 Speaker 1: someone taking off dating apps for violating the rules of conduct, 644 00:34:29,520 --> 00:34:32,560 Speaker 1: and even going back to the minors thing sort of 645 00:34:32,600 --> 00:34:35,320 Speaker 1: like how did that happen? Then, Like how can we 646 00:34:35,360 --> 00:34:37,680 Speaker 1: stop that from happening? If your rules are you can't 647 00:34:37,760 --> 00:34:41,160 Speaker 1: be this young, you have to be this age, how 648 00:34:41,160 --> 00:34:44,319 Speaker 1: are they getting on there? And we all know, you know, 649 00:34:44,360 --> 00:34:49,120 Speaker 1: it's pretty easy to be like I'm this age, So. 650 00:34:48,920 --> 00:34:51,400 Speaker 2: There's no verification system, So why exactly. 651 00:34:51,480 --> 00:34:55,719 Speaker 1: So it's there's not like a readily easy solution for that, 652 00:34:55,840 --> 00:34:59,000 Speaker 1: but that is what that article was looking into. And 653 00:34:59,040 --> 00:35:00,799 Speaker 1: then this is something we've talkedalked about before. I think 654 00:35:00,840 --> 00:35:02,200 Speaker 1: he brought this up to me the first time i'd 655 00:35:02,200 --> 00:35:04,360 Speaker 1: heard about it. But like kind of Facebook pages warning 656 00:35:04,400 --> 00:35:08,080 Speaker 1: people about like i' met this person online dating, avoid 657 00:35:08,120 --> 00:35:11,400 Speaker 1: them at all costs. One of the big ones is 658 00:35:11,400 --> 00:35:14,040 Speaker 1: called are We Dating the Same Guy? And found in 659 00:35:14,080 --> 00:35:20,200 Speaker 1: twenty twenty two. It has hundreds of groups across the 660 00:35:20,200 --> 00:35:23,640 Speaker 1: globe with thousands of members. Again, there pros and cons 661 00:35:23,719 --> 00:35:27,600 Speaker 1: of this, including like revenge posting and some joining groups 662 00:35:27,640 --> 00:35:31,319 Speaker 1: as moles and passing along information to the usually men 663 00:35:31,360 --> 00:35:35,760 Speaker 1: being called out. Some women have been dockxed for posting 664 00:35:35,800 --> 00:35:39,399 Speaker 1: on this, but yeah, I did. It does show sort 665 00:35:39,440 --> 00:35:43,399 Speaker 1: of the issues underlying where we're trying to protect each 666 00:35:43,440 --> 00:35:49,760 Speaker 1: other in some way given what we have. In recent years, 667 00:35:49,800 --> 00:35:52,160 Speaker 1: apps like Bumble and Match have partnered with companies that 668 00:35:52,200 --> 00:35:55,280 Speaker 1: provide free trauma courses, which I've kind of like cool, 669 00:35:55,360 --> 00:36:02,920 Speaker 1: but also, ooh, no background check services. You have to 670 00:36:02,960 --> 00:36:05,839 Speaker 1: pay to screen your dates. It is cheaper currently than 671 00:36:06,000 --> 00:36:10,120 Speaker 1: other background check services, but it's not free. AI screening tools, 672 00:36:10,520 --> 00:36:13,319 Speaker 1: tools to prevent people from using multiple profiles from the 673 00:36:13,360 --> 00:36:17,480 Speaker 1: same device, and photo verification tools. Some states in the 674 00:36:17,560 --> 00:36:20,680 Speaker 1: US and countries are introducing things like age verification laws. Again, 675 00:36:20,719 --> 00:36:22,279 Speaker 1: I'm not sure how that will look or how that 676 00:36:22,320 --> 00:36:26,560 Speaker 1: will work. Some worry that this will lead to increased 677 00:36:26,600 --> 00:36:29,120 Speaker 1: victim blaming, like you had these tools and still like 678 00:36:29,160 --> 00:36:30,640 Speaker 1: you whether you get them or not, Like you could 679 00:36:30,680 --> 00:36:33,200 Speaker 1: have gotten them and you didn't, and still but again, 680 00:36:33,280 --> 00:36:36,239 Speaker 1: you might have to pay for it, and it's still 681 00:36:36,320 --> 00:36:40,640 Speaker 1: victim blame, victim blaming either way. And then really briefly, 682 00:36:40,640 --> 00:36:43,239 Speaker 1: because I think this should be a whole separate episode 683 00:36:44,040 --> 00:36:48,439 Speaker 1: when you're talking about like queer issues. This has sort 684 00:36:48,440 --> 00:36:51,759 Speaker 1: of gotten big lately, especially everywhere, but I've seen it 685 00:36:51,840 --> 00:36:53,960 Speaker 1: in a lot of other countries. The trade offs of 686 00:36:54,000 --> 00:36:56,640 Speaker 1: like privacy, like it might not be safe or legal 687 00:36:56,680 --> 00:37:02,879 Speaker 1: to come out, versus what happens if some thing goes wrong. So, yeah, 688 00:37:02,880 --> 00:37:04,400 Speaker 1: this is beyond the scope of the episode. But there 689 00:37:04,440 --> 00:37:06,480 Speaker 1: have been several articles lately around the dangers of being 690 00:37:06,520 --> 00:37:09,200 Speaker 1: queer and using dating apps or just being online, especially 691 00:37:09,200 --> 00:37:13,400 Speaker 1: in some countries, like death rate, violence, being disowned, basically 692 00:37:13,440 --> 00:37:15,879 Speaker 1: getting tricked into a date, and then you get there 693 00:37:15,920 --> 00:37:21,720 Speaker 1: and that's not what it is at all. So yeah, 694 00:37:22,120 --> 00:37:27,880 Speaker 1: a lot going on, a lot going on, and it 695 00:37:27,960 --> 00:37:30,520 Speaker 1: is interesting in terms of what we're seeing right now 696 00:37:30,520 --> 00:37:33,720 Speaker 1: in the US with social media companies testifying about responsibility 697 00:37:33,719 --> 00:37:36,600 Speaker 1: that should be placed on them or not. Dating apps 698 00:37:36,600 --> 00:37:38,640 Speaker 1: have long face and continue to face this question. 699 00:37:38,719 --> 00:37:38,919 Speaker 3: Two. 700 00:37:40,000 --> 00:37:43,640 Speaker 1: According to mother Jones, Quote Match Group, the parent company 701 00:37:43,640 --> 00:37:46,160 Speaker 1: of Hinge, tinder Match, dot Com, Plenty of Fish, and 702 00:37:46,160 --> 00:37:49,080 Speaker 1: several other dating platforms, spent one point four or five 703 00:37:49,200 --> 00:37:53,160 Speaker 1: million dollars on lobbying in twenty twenty two alone. It 704 00:37:53,200 --> 00:37:55,680 Speaker 1: was a thirteen percent increase from twenty twenty and the 705 00:37:55,960 --> 00:38:00,279 Speaker 1: tenth highest spending by any company advocating on internet use. 706 00:38:01,320 --> 00:38:08,640 Speaker 1: So they're they're in there, they're involved in the game. Yeah, 707 00:38:08,760 --> 00:38:11,799 Speaker 1: they're invested. So as always, you know, just do your 708 00:38:11,800 --> 00:38:14,319 Speaker 1: research and we will come back and talk about this. 709 00:38:14,360 --> 00:38:16,880 Speaker 1: Because I had to be a certain point, I was like, well, 710 00:38:16,880 --> 00:38:18,480 Speaker 1: that's a whole that's a whole seven thing. 711 00:38:18,800 --> 00:38:20,880 Speaker 3: If that's the whole thing when we talk about online 712 00:38:20,920 --> 00:38:25,320 Speaker 3: dating and then trying to do anything with love or 713 00:38:25,360 --> 00:38:27,200 Speaker 3: sex or yeah. 714 00:38:27,920 --> 00:38:32,040 Speaker 1: It's true, it is true, and I really do. I 715 00:38:32,080 --> 00:38:34,319 Speaker 1: have so many friends that I sympathize with when I 716 00:38:34,400 --> 00:38:36,240 Speaker 1: hear them talking about it, like, it's kind of easy 717 00:38:36,280 --> 00:38:40,640 Speaker 1: to for me because I'm like, I'm good. But when 718 00:38:40,680 --> 00:38:42,520 Speaker 1: I hear like, I know it's important to them. And 719 00:38:42,600 --> 00:38:46,120 Speaker 1: these are the tools that we have and to see them, 720 00:38:46,719 --> 00:38:49,839 Speaker 1: to know the dangers of them. It's just important to 721 00:38:49,880 --> 00:38:55,759 Speaker 1: look at what is happening right now and see how 722 00:38:55,800 --> 00:38:57,799 Speaker 1: it evolves and shifts and how we can do better. 723 00:38:58,840 --> 00:39:06,280 Speaker 1: Hopefully heavy sign heavy sigh yes yes, but listeners, please 724 00:39:06,360 --> 00:39:07,799 Speaker 1: let us know if you have any thoughts about this 725 00:39:08,440 --> 00:39:13,560 Speaker 1: matchmaking anything we've discussed, please let us know. You can 726 00:39:13,560 --> 00:39:16,000 Speaker 1: email us at Stepanie and mom Stuff at iHeartMedia dot com, 727 00:39:16,120 --> 00:39:17,920 Speaker 1: give guy us on Twitter at mom Stuff podcast, or 728 00:39:17,920 --> 00:39:19,799 Speaker 1: on Instagram and TikTok at stuff. I'll Never Told You. 729 00:39:20,120 --> 00:39:21,719 Speaker 1: We have a teap public store and we have a 730 00:39:21,719 --> 00:39:23,680 Speaker 1: book you can get wherever you get your books. Thanks 731 00:39:23,719 --> 00:39:25,840 Speaker 1: as always to our super producer Christina, are Excited to 732 00:39:25,840 --> 00:39:28,680 Speaker 1: producer My and your contributor Joey. Thank you, Thanks to 733 00:39:28,719 --> 00:39:31,280 Speaker 1: you for listening. Steffan'll Never Told You is production of iHeartRadio. 734 00:39:31,280 --> 00:39:32,839 Speaker 1: For more podcasts from my Heart Radio, you can check 735 00:39:32,880 --> 00:39:34,919 Speaker 1: out the Heart Radio Apple podcast or wherever you listen 736 00:39:34,920 --> 00:39:35,960 Speaker 1: to favorite shows,