There Are No Girls on the Internet - October 06, 2026


Polymarket Wants to Girlboss Women Into Gambling

Lindsay Clancy’s Trial Is a Bet on Polymarket. Now Prediction Markets Want Women

Episode Stats


Length

1 hour and 15 minutes

Words per minute

163.99

Word count

12,313

Sentence count

822

Harmful content

Misogyny

27

sentences flagged

Toxicity

20

sentences flagged

Hate speech

28

sentences flagged


Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
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00:00:16.560 This is just the latest example of them just slapping DEI on anything. 0.96
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00:00:35.240 I'm Carrie Champion, and in this new season of Biggest Rivalries of All Time podcast,
00:00:41.380 we take you back to the very first rivalry of the WNBA.
00:00:45.480 The Comets were the real deal. I mean, come on.
00:00:47.900 The Liberty was just tough. Oh, God.
00:00:50.500 The New York Liberty versus the Houston Comets.
00:00:52.940 When we hit the floor, it was hot, heated fights, elbows, competition, trash talking.
00:00:59.200 Who's the better team?
00:01:00.700 People lie, but numbers don't.
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00:01:13.140 The WNBA playoffs are here, and Good Game with Sarah Spain is the only daily podcast that'll keep you up to date on all the action.
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00:01:45.780 There Are No Girls on the Internet is a production of iHeartRadio
00:01:48.680 and Unbossed Creative.
00:01:50.660 I'm Bridget Todd, and this is There Are No Girls on the Internet. 0.74
00:01:59.100 We are back.
00:02:01.220 And that's right, we are still coming to you from beautiful Baja Mar here in the Bahamas.
00:02:06.460 We are on the most beautiful island recording at Baja Mar's beautiful studio space with Engineer Bree.
00:02:13.640 I honestly cannot say enough good things about how lovely it is here. 0.80
00:02:18.540 It looks so cool in here that a group of women actually, as we were setting up, getting ready to start, they just burst in and kind of low-key demanded that we talk to them.
00:02:30.780 And before you ask, yes, they were.
00:02:33.340 If you know, you know.
00:02:34.160 I don't need to say anything else.
00:02:35.340 But I mean that lovingly because it was sort of a, we're a group of girls on a girl's trip.
00:02:42.120 It was, a request was made.
00:02:44.940 I guess it wasn't even really a request.
00:02:46.560 It was a demand.
00:02:47.500 That was somewhere in the gray area between a request and a man, but they were really nice. They seem like they're having fun. And we were talking to engineer Bree about it. And she pointed out that like something about like seeing a microphone set up, seeing a podcast set up really invites people to want to investigate and and participate as well.
00:03:07.980 Yeah. As somebody who usually whenever I travel, I've never taken a real non-working vacation. Every time I go anywhere, I have my podcast mic with me and I've had to podcast from some pretty gnarly places like on my stomach and like laying on my stomach in the corner of a hotel floor because I had to do an interview after checkout time, you know, like that kind of situation.
00:03:32.920 and any other situation people will just like walk see you and keep on walking if you're talking
00:03:38.340 into a microphone people are like oh what do you do in a podcast oh you don't want your boss to
00:03:43.080 know that you're actually recording from a different location and so you're pretending
00:03:46.460 that you're at home but really you're in a hotel let me get on the mic like you know is this is
00:03:51.500 this something about a microphone invites people to come right in sit down ask questions don't I
00:03:57.360 know it yeah I mean it reminds me of what you often say about podcasting you know it's like
00:04:01.660 such an intimate medium that invites connection.
00:04:04.960 So I guess this is like the part and parcel of that.
00:04:09.440 So this is part two of a two-part episode
00:04:11.840 about women and prediction markets like Polymarket.
00:04:15.220 Now, if you did not listen to part one,
00:04:17.460 you should definitely start there.
00:04:18.660 But to recap, I talked about how Amanda Hirsch, 0.54
00:04:22.660 the host of the Not Skinny, Not That podcast,
00:04:26.080 posted a sponsored ad for the prediction market Polymarket
00:04:29.680 on Instagram.
00:04:30.720 essentially inviting people to bet on the trial of Lindsay Clancy.
00:04:36.920 Lindsay Clancy, of course, is the woman who killed her three children.
00:04:40.380 Now, this sponsored post was in poor taste, to say the very least.
00:04:45.680 Amanda deleted it and apologized.
00:04:48.140 But it was yet another example of some of the, in my opinion, misguided ways
00:04:53.500 prediction markets like Polymarket are going hard for women
00:04:57.560 by encouraging us to bet on cultural moments.
00:05:00.720 From really heavy, dark moments like the Lindsay Clancy trial to stuff like the outcome of reality television shows.
00:05:08.460 All while these companies tell us it's empowering.
00:05:14.840 So, as I said, Kelshi was using this season of Love Island this summer as their big draw to women.
00:05:21.720 But prediction markets can transform almost any uncertain cultural outcome into something wagerable that you can bet on.
00:05:28.500 Markets have appeared around subjects including reality show outcomes, awards, music, celebrity, weather, politics, entertainment releases, television competitions, and obviously, as we were talking about before, human suffering and tragedy like the Lindsay Clancy trial.
00:05:44.220 So the larger product proposition is almost limitless.
00:05:49.180 If an event can have an observable yes-no outcome, somebody somewhere can potentially create a market around it that you can bet on.
00:05:58.860 And this really matters because traditional sports betting require a consumer to care and know about sports, but prediction markets don't.
00:06:07.060 Someone's expertise around anything, The Bachelor, Love Island, celebrity gossip, Survivor, politics, whether a woman will be convicted for murdering her babies, can be used.
00:06:18.220 And I think that's really what makes women's non-sport betting look different from traditional sports betting.
00:06:24.780 That Sacred Heart survey that I keep referencing has some pretty useful independent data here.
00:06:29.760 Among the respondents who had made non-sports bets, women's choices differed from men's.
00:06:36.820 Among those female non-sports bettors, 43.3% said they had wagered on award shows.
00:06:42.620 40.6% said they had wagered on reality TV outcomes.
00:06:46.440 Men who made non-sports bets were more likely than women to report wagering on politics and elections or finance or cryptocurrency.
00:06:53.280 currency. I have a friend who realized kind of before the sports betting, polymarket,
00:07:00.980 Kalshi stuff took off that he had a problem with gambling. But he told me that he realized that he
00:07:06.560 had a problem when there was no sports happening and he was putting money on the outcome of the
00:07:12.480 Latin Grammys. And he was like, this is how I know I have a problem that I'm like getting into
00:07:17.740 niche award show programming to just to scratch the itch. And what's funny is that from all of
00:07:24.040 this, this was before you could bet on anything, really. This was like a very unusual thing to be
00:07:29.960 betting on. Had he been experiencing that today in 2026, that might be so normalized that he might
00:07:36.360 that might not even have been the thing that led him to understand that he had a problem around
00:07:40.380 gambling. Wow, that's so interesting. It's like sort of the process we were talking about of
00:07:45.380 people betting on their non-sports expertise but like taking that even further when it becomes a
00:07:52.160 problem to betting on areas that are outside of one's expertise just for the thrill of betting
00:07:57.620 just to feel something man i get it i get it so all this expansion of the domains in which people
00:08:03.760 are betting um and the marketing that companies are doing to to women is there evidence that it's
00:08:11.020 working what what do women think about this i guess we've seen a little bit of evidence but
00:08:15.380 is there more? So the short answer is kind of. I found this March 2026 study published in BMC 0.96
00:08:21.400 Public Health that specifically examined new gambling industry strategies aimed at women
00:08:26.560 among a sample of young women living in Australia. The researchers studied women's perceptions of
00:08:31.500 marketing tactics, including things like influencers and celebrities, the novelty of
00:08:35.480 betting markets, women's sports, social media promotions, gambling companies associating
00:08:39.780 themselves with women's causes and gender equity messaging. The authors began from a documented
00:08:45.560 shift, right? Gambling marketing has historically focused mostly on young men, but the industry,
00:08:51.440 as we said, is increasingly adopting strategies designed specifically to appeal to women.
00:08:55.880 So women in this study believed the tactics could actually normalize gambling and attract women who
00:09:02.600 might not otherwise gamble. So it's exactly what you were just talking about, that normalization.
00:09:07.580 The study wasn't asking them whether or not they think this is good or bad or they approve. 0.78
00:09:13.300 Basically, it's like, can you see this being an effective way of normalizing this kind of behavior among women? 0.97
00:09:19.500 And they basically said yes. 0.93
00:09:21.060 Participants described some of these strategies as making gambling seem harmless, normal, fun, socially acceptable.
00:09:28.680 And my personal least favorite, sometimes even empowering.
00:09:34.620 So it sounds like the women were really picking up on exactly the messages that the advertisers were trying to give them. 0.64
00:09:45.140 Pretty much.
00:09:45.980 I love these, like, qualitative studies of interviews of people because you can just, like, really get some good quotes of people, like, really speaking, like, a real truth that can often elude more quantitative measures of, like, big surveys with thousands of people, you know?
00:10:08.660 Were there any particularly good quotes in this one?
00:10:11.000 I really like this one. And it really kind of reminds me of what we were talking about with the Lindsay Clancy trial. Quote, it's a slippery slope. They start with something small, fun and aligned with your interests. But before you know it, you're betting on things you never even thought you'd care about. It is dangerous. That is from one 33 year old who participated in the study.
00:10:31.140 So I mentioned that my least favorite bucket of thing that's marketing around gambling that these women could see as being effective was marketing gambling to women as empowering. 0.50
00:10:45.920 There is not enough time for me to get into how much I hate this.
00:10:49.420 And it reminds me of this kind of just familiar commercial and cultural pattern where something that has historically and traditionally been coded as male just gets repackaged for women using this very empty language of empowerment.
00:11:07.440 I think the reason I hate it so much is that it feels insulting to me that they would just like slap women's empowerment on something and they think I'm stupid enough that that's going to actually feel like meaningfully empowering to me.
00:11:21.160 The classic example I'm sure everybody listening knows is remember those old Virginia Slims ads? 0.81
00:11:27.480 So Virginia Slims are the cigarette that they're really thin and they're sort of marketed for like a cigarette for women.
00:11:34.940 And their marketing slogan, I know you know it, Mike.
00:11:38.420 Do you remember what it was?
00:11:39.500 Oh, we've come a long way, baby.
00:11:41.300 We've come a long way, baby. 1.00
00:11:44.200 And it was this, I guess, nominally feminist sounding slogan to try to get women to smoke more cigarettes.
00:11:52.580 I guess it's meant to sort of be like commemorating how far women have come, so smoke a cigarette.
00:11:58.160 This was back in 1968.
00:11:59.720 Yeah. Listeners know that I spent a lot of time in tobacco control, studying tobacco companies, and that wasn't the first time that they explicitly tried linking women's empowerment with smoking cigarettes.
00:12:12.060 Back in 1929, the American Tobacco Company organized a group of women to march down Fifth Avenue in New York City, all holding cigarettes, and they called them Torches of Freedom, trying to link cigarette smoking to the suffragette movement, just like very explicitly trying to break this taboo of women smoking, which at the time was like somewhat taboo.
00:12:38.820 And they worked on it for decades until they got to Virginia Slims, that very thin, slender cigarette.
00:12:46.900 Somehow that really clicked for them.
00:12:50.980 And I don't want to go too far down this tangent, but the other day I was out, they had these new ultra, ultra thin cigarettes.
00:12:57.740 Have you seen them?
00:12:58.620 I have seen them.
00:12:59.760 They're like comically thin.
00:13:01.600 They're like the width of a lollipop stick because I guess Virginia Slims were just like not thin enough.
00:13:08.180 So they're still at it, right?
00:13:09.680 They've been at, that was 1929 they organized that march. 0.95
00:13:12.600 Almost 100 years of just hammering away at trying to get women to smoke. 0.97
00:13:19.900 I hate this.
00:13:21.260 Again, I am somebody who is very comfortable, maybe too comfortable with Vice.
00:13:26.140 Just don't tell me that it's empowering.
00:13:28.340 The whole point of Vice is that it doesn't, I don't need you to sell me on it being good for me.
00:13:33.100 That's why I'm doing it, actually.
00:13:34.740 Like, I'm not doing it to feel empowered.
00:13:36.720 I just hate it from so many different angles. I hate it. So those are some examples from back in
00:13:41.280 the day. Here in 2026, we have seen so many updated versions of companies using empowerment
00:13:46.940 marketing to try to sell something historically associated with men to women. I've seen it in
00:13:53.060 the investing space, the entrepreneurship space, the crypto space, alcohol, wellness,
00:13:58.620 consumer finances. And now prediction markets are in a very similar position. And what they're
00:14:04.700 basically saying to women they're saying things that I believe to be true about women and then 0.91
00:14:08.940 making that rhetorical jump and saying this is why you should be betting with our prediction
00:14:13.280 markets right so like women you have been historically overlooked and not listened to
00:14:18.200 your expertise which we know that you have has been devalued your opinions have value you have
00:14:25.240 expertise why should guys be the only ones making money from expertise it's so good but so callous
00:14:33.340 how they're exploiting the things that actually are true about women that we actually are you know
00:14:39.400 do have expertise that is easily overlooked we actually do have opinions that are often
00:14:44.060 neglected and not listened to and like turning that in on itself and saying here's why you should 0.98
00:14:49.220 waste your fucking money on our prediction ads is so it's just so deeply craven and callous it is 0.98
00:14:55.980 some don draper magic that they have been able to repackage this as anything approaching 1.00
00:15:04.280 empowerment let alone like just a good eye a good idea financially yeah yeah i think mad men
00:15:13.660 is such a great framework for thinking about how they do this uh least of all because their
00:15:20.380 primary client for many years was the american tobacco company right like they are right
00:15:24.540 solidly in there. Mike and I are doing a Mad Men rewatch. I've been threatening for the longest
00:15:29.280 time doing a Mad Men rewatch podcast using your tobacco expertise, because I think that would be
00:15:34.480 good. I've been threatening this for a long time. We'll see if it ever comes to fruition. So as we
00:15:39.540 talked about earlier, many of these examples from social media use amounts of money that seem very
00:15:47.380 small. $5 here, $10 there, enough to buy a coffee. And I think that that matters because just like
00:15:54.180 that college student who did her first bet on Love Island, it was only $10. Putting $10 down on
00:16:00.340 which Love Island couple is going to make it to the finals, a show that you watch every week and
00:16:04.080 already have an opinion on, that seems really different than asking somebody to walk into a
00:16:09.620 casino or go to a lottery counter and put a lot of money down, right? Like that feels very different.
00:16:15.720 And I think that that immediate financial risk being small matters because even though that
00:16:21.280 immediate financial risk might be small, it's only $10. From the customer acquisition perspective,
00:16:26.960 that first consequential action, that first $10 you put down on something, that gets you to create
00:16:32.540 an account, deposit some money, connect a payment method, make a first trade, permit notifications,
00:16:38.480 and just kind of like get familiar with the interface. How many times have you downloaded
00:16:43.080 an app and then the first thing they ask you for is your financial information or something and
00:16:47.560 you're like, I thought this was free. I'm not doing this. And you know about a lot of people
00:16:51.280 probably will just continue to know about. But for some people, they probably are like, OK,
00:16:55.320 I'll give them my financial information. And again, even if it's that one low stakes, low risk
00:17:00.240 ten dollars that creates somebody who is now comfortable in that interface who might start
00:17:06.580 coming back, like create a habit or change behavior around having done that. So they can get you to
00:17:11.580 to break the seal and take that first step. That's pretty valuable. Yeah, absolutely. We see that
00:17:16.900 all over the place in business and organizing.
00:17:20.920 You know, people talk about the foot in the door approach,
00:17:22.800 just getting somebody to take that first step
00:17:25.560 to do it that first time
00:17:27.320 makes it so much more likely
00:17:29.460 they're going to do it a second time.
00:17:31.260 And I've looked at some of the ads
00:17:32.940 around how they kind of talk about this for women.
00:17:35.840 It really reminds me of the language
00:17:38.860 of AI marketing toward women right now
00:17:41.180 that I think is preying on women's fear
00:17:44.460 of missing out on something
00:17:45.660 that could be financially lucrative or financially stabilizing from them, even if in reality that
00:17:51.400 thing is not actually financially beneficial at all. I think the way that prediction markets
00:17:58.700 are marketing toward people, specifically women, I think that they are trying to capture and kind
00:18:04.080 of, I won't say like prey on, but kind of speak to, I think this feeling that a lot of us feel
00:18:09.840 right now, this feeling of instability and worry and confusion around finances and the financial
00:18:15.820 world. I'm not going to pretend to be some sort of financial expert, but it is difficult to know
00:18:23.560 where your money is safest, whether that's in real estate or the stock market or in a coffee
00:18:31.860 can under your bed or in your savings account. Things feel very volatile right now. And I think
00:18:36.420 that these companies are really preying on that, especially when it comes to women, right? And
00:18:43.140 they're rebranding gambling as potentially a smart financial choice, the same way they did with
00:18:51.420 crypto, the same way they did with NFTs. And I would argue, in my opinion, the same way they're
00:18:55.300 doing with AI adoption. Again, it's one thing to market this as this is just going to give you a
00:19:02.520 thrill it's vice it's just fun you just do it for fun not that big of a deal i don't happen to agree
00:19:08.020 with that but i get that remarketing this as this is what savvy financial people do you're not
00:19:15.140 gambling you're making a prediction on a prediction market i just don't like the attempt at the
00:19:20.360 rebrand well and i think the smart marketing play is to market on both right like when you are
00:19:28.220 placing the bet or buying the the future of the market or whatever the terminology is
00:19:34.460 it's just fun you know it's only ten dollars uh you're betting on the outcome of a show that you
00:19:41.040 like like love island this is just like a fun thing to do uh the stakes aren't really that high
00:19:46.080 but you could potentially win like big money you know and so if you win it's a positive
00:19:53.700 financial decision that you have made if you lose it's no big deal it's only fun uh you get to have
00:20:01.140 it both ways i hadn't even thought about that but i think you're so right as humans we love to find
00:20:07.400 justifications for things we want to do even if that requires some logic that does not necessarily
00:20:13.580 hold up to the light of day if we like really sketch it all out uh and companies know this
00:20:20.520 Right. Like that's, I think, part of the challenge of the regulators thinking about how to regulate this industry when it's being presented as a commodity future trading enterprise, which is, you know, something that historically has been regulated from a framework of businesses making rational decisions.
00:20:43.780 But now all of a sudden the same regulating entities are being asked to regulate a very personal behavior where the individual psychology of individual people is coming into play and emotions and the potential for addiction are just like a bigger part of it.
00:21:06.620 It's a real mismatch in terms of how the regulation is happening
00:21:11.760 for these small bets that people are making in entertainment
00:21:15.920 and also sports, really, for both men and women's sports.
00:21:23.120 Let's take a quick break.
00:21:30.140 An iHeartRadio experience.
00:21:32.660 Carly Pierce, live at the Opera House, October 16th.
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00:21:41.000 An intimate pre-show performance and Q&A.
00:21:43.740 And then stay for the full show.
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00:21:52.860 Enter now for your chance to win at iHeartRadio.ca.
00:21:56.620 Stream Carly's new album, Honest Woman.
00:21:59.420 Available now.
00:22:02.640 I'm Hamza.
00:22:03.700 And I'm Martin.
00:22:04.240 And we're the hosts of Out of Character.
00:22:05.980 It's a podcast. I know there's a lot of them going around, but why should you listen to ours?
00:22:10.780 Well, we're only the best podcast in the entire world.
00:22:13.640 And we talk about pretty much everything under the sun.
00:22:16.560 For example, music we're listening to, underground music, trending music, drama in music worlds.
00:22:23.820 Yes, sometimes we even talk about just everyday mundane situations in our lives,
00:22:28.240 like the cool Uber driver we just had.
00:22:30.540 Or the food we just say that was surprisingly delicious.
00:22:34.080 Or we'll talk about the Met Gala and the looks that they wore.
00:22:37.280 Are they awesome? Are they trendy?
00:22:39.060 Come find out.
00:22:40.240 Because our opinion matters, and so does yours.
00:22:42.960 And this is a place where all of our minds can come together and connect.
00:22:46.720 So what are you waiting for? Come connect with us.
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00:22:55.360 Hey, what's up? I'm Tony Gonzalez.
00:22:56.840 And I'm October Gonzalez.
00:22:58.220 But you can call me Toby.
00:22:59.160 We want you to join us on our new podcast, No Safe Words, with October and Tony Gonzalez.
00:23:04.300 Where we get real about marriage, parenthood, sex, divorce, and all the nitty gritty stuff we all think about.
00:23:10.260 But just don't say out loud.
00:23:11.340 I hate that job.
00:23:12.260 You're probably just going to meet with some rich guy and he's going to whisk you away and I'll never see you again. 0.95
00:23:17.500 Would you say a D-less actor?
00:23:20.960 D?
00:23:22.940 I don't even know there's such a thing as D.
00:23:24.760 No, no, no.
00:23:25.400 I mean like.
00:23:25.780 I can't even get on the C-list.
00:23:26.860 Like I'm not even average.
00:23:27.720 I'm not even passing.
00:23:28.460 I'm failing? Listen to No Safe Words with October and Tony Gonzalez, part of My Cultura Podcast
00:23:33.980 Network, available on the iHeartRadio app, Apple Podcasts, or wherever you get your podcast.
00:23:40.740 I'm Mimi Brown, and every day on Front Page Podcast, I help you make sense of the stories
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00:24:41.540 The WNBA playoffs are about to begin.
00:24:44.600 The talent is insane, and the personalities are giving main character energy.
00:24:49.160 And, of course, the fans love it.
00:24:50.960 But 30 years ago, when the league first started,
00:24:53.880 It was a different story.
00:24:56.120 I remember sitting with a couple of male writers all whining about,
00:24:59.380 oh, what are they going to do if they break a nail?
00:25:01.480 No one's going to show up.
00:25:02.560 But from the very beginning, there were two teams that captured everyone's attention.
00:25:07.280 The Comets were the real deal.
00:25:08.820 I mean, come on.
00:25:09.660 The Liberty never gave up.
00:25:11.240 They never stopped fighting.
00:25:12.500 I knew that rivalry was going to be amazing from the beginning.
00:25:16.840 I'm Carrie Champion, and this is Biggest Rivalries of All Time, Season 2.
00:25:21.520 The New York Liberty versus the Houston Comets, the very first rivalry of the WNBA.
00:25:27.580 They picked us to finish last, and they picked them to finish first.
00:25:30.540 That's all you need to know.
00:25:31.940 I remember looking around thinking, this is going to change things.
00:25:35.880 Basketball was going to have this fundamental impact on the way people viewed women athletes.
00:25:41.660 Listen to biggest rivalries of all time on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
00:25:48.500 Is there bad blood between you and the Comets as you guys meet again in the championship?
00:25:54.560 Oh, we're coming back to win.
00:26:06.180 And we're back.
00:26:08.580 So let's layer in social media to this conversation because I think that's where the conversation really changes.
00:26:16.700 The traditional gambling image requires somebody to intentionally enter into a gambling environment, right?
00:26:24.120 A casino, a racetrack, a sports book, a lottery counter.
00:26:28.060 Places and situations that you don't really find yourself in unless you are like intending to gamble.
00:26:33.020 But now there's this new customer journey that could start with open up TikTok.
00:26:39.180 You see a creator like the host of a Not Skinny Not That podcast.
00:26:43.060 She's talking about a pop culture prediction.
00:26:45.900 You open the app, you make a deposit, you start making trades.
00:26:48.960 So just like that young woman who said that she had never thought about gambling until she saw that sponsored ad on social media that led her to placing her first ever bet on the outcome of Love Island, the gambling opportunity now meets these new users in their existing media routines, right?
00:27:05.240 It's just happening on TikTok.
00:27:06.460 And that distinction really matters when the advertising itself mimics normal creator content, like what we're seeing from podcasts like Call Her Daddy and Not Skinny, Not Bad, right, who have both done these poly market partnerships in ways that just feel like regular content, not necessarily advertising for gambling, right, which is what they actually are.
00:27:29.700 In that Atlantic piece I was referencing earlier, they made this point that all of this prediction market ad content is meant to blend in and really look like and mirror ordinary women's lifestyle content.
00:27:43.000 So I'm not saying that when Alex Cooper of Call Her Daddy makes a Polly Market ad that it is inherently deceptive or I'm not even necessarily saying that it's inherently bad, but it does, I think, get blurry, right? 0.77
00:27:59.760 It blurs the lines of this being regular women's lifestyle content or pop culture content and this being an ad for a gambling platform, which it absolutely is.
00:28:08.720 The same way that Polly Market is, in my opinion, exploiting that blurriness around being both a media outlet and a gambling platform.
00:28:18.520 It's the same kind of thing.
00:28:19.940 It can make the boundary between content and gambling acquisition a lot less visually obvious.
00:28:27.120 And importantly, it kind of seems like it could be working.
00:28:31.620 There's just tremendous potential for these companies because advertising that young people see on social media can be actually very effective at getting them to change their behavior.
00:28:43.040 Yeah, absolutely. I mean, there's a big reason advertisers spend over 400 billion dollars a year just in the United States.
00:28:51.120 They do it because it works. It's effective.
00:28:53.000 Yeah. And so I guess that's my one of my big so what to the whole conversation is that I'm not just mad at Not Skinny, Not Bad because that Lindsay Clancy ad for Polymarket was in poor taste, which it was.
00:29:07.620 It can also make women who were not interested in gambling before see gambling as something that they might want to get involved in.
00:29:16.480 Like it can really be effective. That Sacred Heart survey that I keep referencing, they found that 47.5% of adults aged 18 to 34 said that sports betting advertising had a great deal or some influence on the likelihood of them gambling.
00:29:31.900 A different question found that 42.3% of 18 to 34 year olds said that gambling promotions had at some point influenced them to open a new gambling account.
00:29:42.040 That is crazy to me that, like, this is not just throwaway advertising.
00:29:47.820 It sounds like it actually is having an impact.
00:29:50.480 Yeah.
00:29:50.760 And, again, we would expect it to.
00:29:53.320 I mean, for every ad that we see, they probably tested 10 or 20 that didn't work as well, right?
00:30:00.440 And the ones that actually worked because they measured, do they change people's attitudes?
00:30:04.700 Those are the ones that they put money behind and run.
00:30:07.100 And, you know, stepping back, as we mentioned, this podcast is supported by ads. It's not like advertising is inherently bad, but I think it's on all of us to really think about what is being marketed to us and make decisions about does it actually align with our values?
00:30:28.820 Yeah. I do think that, listen, creators have to decide for themselves where their line is, but you can do that, right? And that's another facet that I feel like is really coming up a lot around this is people grappling in real time with what it means when these big creators do take these kinds of partnerships.
00:30:49.020 Like, I can't speculate on how much money Not Skinny Not That makes.
00:30:53.500 It's a huge podcast, so, like, I'm not, they're probably doing much better than us.
00:30:57.920 But, and Dear Media, again, is, like, a huge platform.
00:31:01.580 I can't speak to how much they make.
00:31:03.600 Call Her Daddy, I can't speak to that. 1.00
00:31:06.320 Alex Cooper is the most successful female podcaster on the planet. 0.91
00:31:10.540 That is a documented thing.
00:31:12.540 Among podcasters generally, she is among the most popular podcasters on the planet. 0.99
00:31:19.020 Homegirl does not need the money. Like, when you get to be that big, it surprises me that that would not encourage you to be choosier about whose checks you take. When you're small, I get it. You got to take what you can get. I get it. It seems cattywampus to me. It seems like the bigger you get, the more choosy you would be able to be. Not I'm so big, it doesn't matter.
00:31:42.760 I mean, you have to wonder what direction causality runs here, right?
00:31:48.180 Like, being willing to work with anybody, I can see that would have advantages towards getting big in the first place.
00:31:54.380 There's this, like, Latina money management podcast that is hosted by Janice Torres, and she posted today,
00:32:02.000 Sometimes having a moral compass as a creator is frustrating as hell.
00:32:05.220 you watch people like Mel Robbins, Alex Cooper, and Amanda Kirsch keep getting rewarded with
00:32:10.380 bigger platforms, louder praise, and fatter checks in exchange for having no integrity at all. 0.99
00:32:15.760 Meanwhile, creators who give a fuck, especially women of color, are asking, 0.99
00:32:19.760 is it harmful to my followers? Am I exploiting somebody with this partnership? Do I actually 0.99
00:32:24.140 believe in what I'm selling? And yes, that may mean slower growth for turning down money,
00:32:29.300 but I refuse to believe the only way to become successful online is to abandon your values,
00:32:33.400 platform harmful people, and treat controversy like a business model. I want the money. I want
00:32:38.700 the reach. I want the influence. But I also want to recognize myself when I look in the mirror.
00:32:43.360 Apparently, that makes me difficult to monetize. And girl felt. I really feel that. And I think
00:32:51.900 that's kind of the crux of the conversation. I don't think it's a neutral thing to help normalize
00:33:03.060 what I think can be really destructive behavior. I think that making it seem like betting,
00:33:12.020 especially for women, is like a normal thing to do, I think is actually harmful to society, 0.87
00:33:17.960 right? And so I do think that all of this kind of cultural programming and cultural outreach 1.00
00:33:23.940 is working. That Sacred Heart study found that 74.6% of Americans now believe that sports gambling
00:33:30.540 is becoming socially acceptable.
00:33:33.340 Again, they didn't ask whether or not they personally approve of it
00:33:36.240 or whether they like it, just whether or not it's socially acceptable.
00:33:40.560 And I think that is precisely the point.
00:33:41.840 And now that that distinctive contribution of prediction markets
00:33:45.020 is in this infrastructure, it can exist well beyond sports
00:33:49.440 and well beyond just the young men that we kind of think of
00:33:52.100 as the market for this kind of thing.
00:33:54.840 Yeah, I mean, this will be the little corner of the episode
00:33:58.000 where producer Mike tells a story from the days of yore,
00:34:02.680 but like when I was the 90s, the 80s.
00:34:06.320 But when I was a kid, like this,
00:34:08.660 this level of gambling just like did not exist in the country. Right.
00:34:12.040 It was only like a very small number of places that you could gamble.
00:34:15.880 I think it was pretty widely understood that gambling was morally corrosive
00:34:23.000 and harmful to society. And over the past couple of decades,
00:34:26.920 We have just really broken that down and broken that down and broken that down.
00:34:31.700 And, you know, I think it's worthwhile to ask, like, who has been driving this societal change?
00:34:38.440 It's getting a little further afield here.
00:34:40.860 But but boy, has it changed a lot in the past couple of decades.
00:34:46.060 Yeah. And I think one of the unique harms of it targeting women specifically is that plenty of people can gamble.
00:34:55.300 It's not advice that I particularly get down with, but plenty of people can gamble and it's not any kind of problem behavior in their life.
00:35:00.240 They do it for fun, whatever. I don't get it, but whatever.
00:35:02.800 But it is a behavior that one can get out of control, which is like anything else. Right.
00:35:08.020 And so one of the specific reasons why it is so harmful to be targeting women specifically is that any kind of harm that impacts people, women are just understudied when it comes to the impacts of the harm.
00:35:21.600 It's true when you look at a lot of medical things, you know, when you find out that something's only been tested on men or hasn't been tested on women, let alone trans folks, let alone non-binary folks.
00:35:31.380 But like, you know, we are less likely to have our unique issues be spotlighted and looked at.
00:35:39.100 Right. That's just like a norm about it, but a way that it is to exist as a marginalized person in the world.
00:35:43.620 Right. So even as women are increasingly being targeted for gambling, women are still a lot less likely to be studied when it comes to things like problem gambling or gambling addiction.
00:35:56.480 So those two things, it's incredibly dangerous for those two things to coexist, for women to be increasingly targeted for gambling and also pretty much understudied and underlooked at when it comes to the impacts or treatment.
00:36:09.040 Right. A 2026 systematic review focused on women and gambling disorder found that dambling research and interventions remain heavily male centered despite increasing female participation.
00:36:21.300 Only 18 studies, 18, met its criteria for prevention or treatment research reporting female specific outcomes.
00:36:30.180 Wow, that is not a lot considering how many people are doing this and what's at stake.
00:36:36.400 And there's also another gender asymmetry that's relevant here, which I think is the role that women play in supporting children and families.
00:36:47.080 I mean, this is well documented in societies around the world that the financial well-being of women is so strongly connected to the well-being of children and families and economies in general.
00:37:02.280 Like men are just more willing to do risky things with their money and the consequences of men spending money or going into debt, while not great in societies where there's just not a lot of money and wealth to go around, the impact on children in society at large is smaller than it is for women.
00:37:24.560 And so that's just like one more reason why I think I am shocked at that low number of studies looking at women's gambling and treatment.
00:37:33.320 And I would hope that there are researchers right now spinning up studies looking into this.
00:37:40.060 And I dread the results.
00:37:42.500 Yeah, I'm glad that you mentioned that.
00:37:43.860 We have an entire episode with economist and researcher Anna Gifty about exactly that thing, about how the health and wellness economically of women, specifically black women is what she looks at.
00:37:54.560 is linked to the health and wellness of families and communities and essentially the country writ large.
00:38:00.900 And so if black women and women are not doing well economically, which right now we're not,
00:38:05.400 that's actually problematic for the everybody, for all of us.
00:38:08.100 Yeah. Women and black women in particular, they are the safety net. You are the safety net. 1.00
00:38:14.240 Put that on a shirt, Mike. Put that on a mug.
00:38:16.480 And so, yeah, I guess it's just that much more corrosive that we know less about gambling prevention and treatment specifically for women than we should at the same time where women are being so uniquely targeted in this way.
00:38:32.540 I just it's a problem.
00:38:35.240 Yeah.
00:38:37.380 More after a quick break.
00:38:38.700 We'll be right back.
00:39:08.700 win at iheartradio.ca. Stream Carly's new album, Honest Woman, available now.
00:39:17.200 I'm Hamza. And I'm Martin. And we're the hosts of Out of Character. It's a podcast. I know there's
00:39:22.380 a lot of them going around, but why should you listen to ours? Well, we're only the best podcast
00:39:26.880 in the entire world. And we talk about pretty much everything under the sun. For example,
00:39:31.580 Music we're listening to. Underground music, trending music, drama in music worlds.
00:39:38.320 Yes. Sometimes we even talk about just everyday mundane situations in our lives,
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00:39:51.740 Are they awesome? Are they trendy? Come find out.
00:39:54.720 Because our opinion matters. And so does yours.
00:39:57.440 And this is a place where all of our minds can come together and connect.
00:40:00.960 So what are you waiting for? Come connect with us.
00:40:03.380 Listen to Out of Character from Will Ferrell's Big Money Players Network
00:40:06.100 on the iHeartRadio app, Apple Pods, or wherever you get your podcasts.
00:40:30.960 Oh, this is awkward. 0.96
00:40:33.620 Would you say a D-less actor?
00:40:35.420 D?
00:40:37.380 I don't even know.
00:40:38.180 There's such a thing as D.
00:40:39.240 No, no, no.
00:40:39.880 I mean, like.
00:40:40.420 I can't even get on the C-list.
00:40:41.340 Like, I'm not even average.
00:40:42.200 I'm not even passing.
00:40:43.160 I'm failing.
00:40:43.980 Listen to No Safe Words with October and Tony Gonzalez,
00:40:46.660 part of My Cultura Podcast Network.
00:40:49.360 Available on the iHeartRadio app, Apple Podcasts,
00:40:52.680 or wherever you get your podcasts.
00:40:56.060 The WNBA playoffs are about to begin. 0.84
00:40:58.740 The talent is insane, and the personalities are giving main character energy.
00:41:03.500 And of course, the fans love it.
00:41:05.320 But 30 years ago, when the league first started, it was a different story.
00:41:10.460 I remember sitting with a couple of male writers, all whining about,
00:41:13.700 oh, what are they going to do if they break a nail?
00:41:15.820 No one's going to show up.
00:41:16.980 But from the very beginning, there were two teams that captured everyone's attention.
00:41:21.600 The Comets were the real deal. I mean, come on.
00:41:23.980 The Liberty never gave up. They never stopped fighting.
00:41:26.640 I knew that rivalry was going to be amazing from the beginning.
00:41:31.240 I'm Keri Champion, and this is Biggest Rivalries of All Time, Season 2.
00:41:36.060 The New York Liberty versus the Houston Comets, the very first rivalry of the WNBA.
00:41:41.900 They picked us to finish last, and they picked them to finish first.
00:41:44.880 That's all you need to know.
00:41:46.280 I remember looking around, thinking, this is going to change things.
00:41:50.220 Basketball was going to have this fundamental impact on the way people viewed women athletes.
00:41:55.140 Listen to Biggest Rivalries of All Time on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
00:42:03.520 Is there bad blood between you and the comments as you guys meet again in the championship?
00:42:08.900 Oh, we're coming back to win.
00:42:25.140 and explain how these stories could impact your life, your family, and your community.
00:42:30.700 My goal is to deliver clear, trustworthy information in a format that fits your schedule.
00:42:35.660 And when a story deserves a deeper conversation,
00:42:38.380 I'll sit down with experts, newsmakers, and thought leaders to help you better understand the headlines.
00:42:43.880 I spoke with Gary Mayer, Eddie Melton, about what's happening on the ground,
00:42:47.780 whether race is playing a role, and what help is available for families who simply can't afford the added cost.
00:42:54.480 Joining us now is Tennessee State Representative Justin J. Pearson.
00:42:58.780 Thank you so much for having me. I appreciate it.
00:43:00.780 Absolutely.
00:43:01.800 Whether it's a major national story or an issue impacting your community, join me on Front Page.
00:43:07.920 Listen to Front Page from the Black Effect Podcast Network on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
00:43:20.940 Let's get right back into it. 0.96
00:43:23.960 Bringing it back to reality TV.
00:43:26.100 My favorite topic.
00:43:27.700 Bringing it back to reality TV.
00:43:29.600 Something that is uniquely weird about betting on reality TV that is different from betting on sports is that somebody already knows what happened.
00:43:40.640 Producers, editors, contestants, network employees, publicists, post-production workers, maybe family members, contractors.
00:43:48.660 So this is just my anecdotal question.
00:43:50.620 I have no idea.
00:43:51.600 But that's got to be a question about how all this works and how all this is regulated.
00:43:58.520 The L.A. Times raised concerns about this exact thing when it comes to reality TV prediction markets.
00:44:04.340 And what's funny is that this has already kind of happened in a much higher stakes way than just a reality TV show, than just like Love Island.
00:44:15.020 Gabriel Perez, he was a longtime White House teleprompter operator who had access to Donald
00:44:21.500 Trump's speeches before Trump delivered them publicly. Perez allegedly used that privileged
00:44:27.900 information to bet on Cauchy markets about what words or phrases Trump would say in upcoming
00:44:33.780 speeches. Now, I will say, I got to give it to Cauchy. The reason why we know this is because
00:44:39.560 of Cauchy's internal systems, like they did a review, flagged and saw some suspicious behavior,
00:44:45.320 and that's why we know this. But according to the CFTC, Perez made $107,539.02 in profits
00:44:53.960 from those trades. The CFTC concluded that he was trading using material non-public information of
00:45:01.620 paying through his White House job in breach of his duty of trust and confidence. So he ultimately
00:45:06.480 was ordered to pay back $107,539 in profits and then pay an additional $65,000 in civil penalties,
00:45:15.460 bringing the total that he had to pay to $172,539. He is also barred from trading on prediction
00:45:23.780 markets for three years, which honestly, that sounds like a low amount of time for me.
00:45:30.060 It does. And I just find this so interesting and like struggle to think about how to think
00:45:33.240 about it because on the one hand it does seem like the industry and in this case kalshi really
00:45:39.040 is very interested and invested in doing a thorough job of policing and finding this kind
00:45:44.820 of behavior uh that's certainly the impression that they're giving and i suspect that they
00:45:49.820 probably are like truly doing that however that long list of people that you listed who have
00:45:56.460 insider information that they could potentially use to cheat the system. It's just so many people
00:46:03.700 and so many people on that list. These are not like seven figure jobs, right? Like these are
00:46:08.940 people who probably many of whom probably have like an hourly wage, right? The incentive to use
00:46:14.620 some of that information to make $20,000, $30,000 on a bet for somebody who's, you know, making 80
00:46:22.760 grand a year it's just such a strong incentive and there's so many people at that level how could
00:46:29.840 you possibly police them all what's funny is that when you were outside grabbing a beer producer
00:46:34.440 and i were talking about this and she does like she has has done like event management and like
00:46:41.180 specifically teleprompter stuff and she was like i feel like they would right away know it was him
00:46:46.560 like if you know what i mean like oh who's betting on what's going to be on trump's speeches i feel
00:46:50.880 like there's like a very small amount of people. And we were like, you know, what would have been
00:46:54.220 a better thing if you were going to do this? Bet on the like White House cage fight, like that kind
00:47:00.620 of thing. Like don't start with the thing where, OK, there's probably like a handful of people
00:47:04.300 that could have been placing this bet and have this insider knowledge. But then there's so many
00:47:08.520 of those kind of events where there's only a handful of people that I think the number pretty
00:47:12.020 quickly gets pretty high. What do you think about him being banned from prediction markets for three
00:47:16.760 years it doesn't seem like a very long time that's only a handful of years you know what does it get
00:47:22.960 whoever to just be like you're banned for life you're one you're one dude who can't do this and
00:47:27.020 you you lost your privileges forever that's that like three years seems like nothing to me yeah
00:47:32.780 there's like so much interesting stuff in that like and that guy in particular right he was a
00:47:38.520 white house employee so he had like a a federal duty which it sounds like is why the cftc was
00:47:44.700 able to come after him which is like such a wrinkle that also probably does not apply to most
00:47:49.660 people who are in this condition so very good point so what does that mean you know point so
00:47:54.240 that's kind of a weird wrinkle to all of this but again when it comes specifically to betting on
00:48:00.480 things like reality tv i don't really understand it because so we use the big example of love island
00:48:06.540 love island was you know the calci their big foray into trying to target women this summer
00:48:12.740 And Love Island is a show where the American public is, in some capacity, meant to be impacting the outcome through votes.
00:48:22.340 Big caveat, I have no idea how serious of an election this is.
00:48:25.940 You actually have a conspiracy theory that the votes don't matter at all.
00:48:29.060 Yes, I do not think the votes matter at all.
00:48:30.600 I think it's all production.
00:48:32.260 I do know there are some, like, legal things where if they say it's a vote, they, like, legally have to try to be like it was a vote.
00:48:39.880 So I just don't believe it.
00:48:44.100 I guess that's why it's a conspiracy theory.
00:48:47.080 Yeah, maybe it's true.
00:48:48.920 But we can move on.
00:48:50.460 For the sake of this discussion, we'll assume that it is a real vote.
00:48:53.560 Yes.
00:48:53.980 Assuming that it's a real vote.
00:48:56.320 Wink, wink, wink.
00:48:57.780 I know. 1.00
00:48:58.120 This is where Bridget takes the hard turn to, like, stop the steal, like, voting irregularity truther. 0.99
00:49:05.980 Yeah, like, how deep does this thing go? 0.99
00:49:08.120 What was your on-ramp to not believing the election results? Like, well, ever heard of a show called Love Island? Are you familiar with Ariana Maddox? Assuming that it's a real vote, and there's no funny business, that does produce this very weird situation where someone can have money riding on the outcome and also be eligible to participate in voting in a way that could help shape the program.
00:49:32.500 And again, I don't know. It's not like anything has been alleged, but a viewer interviewed by the LA Times specifically raised this concern in a piece about how prediction markets are showing up in reality TV and vice versa.
00:49:46.380 Yeah, it's, I think, a really reasonable concern, especially because of how easy it is for people to create like botnet accounts, for example.
00:49:55.780 It wouldn't take a huge amount of imagination to imagine somebody developing a sophisticated apparatus using one of any number of cell phone farms located in Southeast Asia or Africa or wherever they're putting them now to really try to influence the election.
00:50:13.760 of course maybe it wouldn't do anything for them since it's not real elections aren't real
00:50:18.300 wait someone's gonna clip me saying that it's a joke you know there are certain phrases i will
00:50:25.780 never say on the podcast i'm so sure someone's gonna like clip that and be like oh bridget todd
00:50:30.000 says xyz yeah many of them related to kanye yes you know the thing i will never say on this podcast
00:50:35.900 yeah but seriously though this it is just such an unusual and interesting situation where people
00:50:43.200 who are able to influence the outcome are also betting.
00:50:48.340 And I understand that that's against the rules.
00:50:50.880 And there've been, but even so,
00:50:52.280 there's been like several pretty high profile cases of that
00:50:55.320 that I looked into for this story.
00:50:57.060 One, your friend and mine, George Santos.
00:50:59.600 Ah, Santos, baby.
00:51:00.960 Tell me what he's up to.
00:51:02.100 Still around.
00:51:02.560 Just in the headlines last week,
00:51:04.080 he had made multiple bets on Kelshi
00:51:06.320 about whether he would attend the State of the Union address.
00:51:09.460 And at the same time that he was placing these bets,
00:51:11.920 He was also posting online about whether he would or he wouldn't in pretty classic, like, coy Santos way of like, like, he knew exactly what he was doing, in my opinion, you know, and I guess also the opinion of the Commodity Futures Trading Commission.
00:51:30.720 Their opinion matters.
00:51:32.160 Their opinion matters more than mine here.
00:51:34.080 They said that he made over $14,000 through these actions of, like, making people think he would and then make them think he wouldn't.
00:51:41.520 So he was fined by that commission. He was banned and fined by Kalshi. He had a whole cash settlement with the CTFC. Interestingly, in that case, which just happened a couple of weeks ago, Kalshi said that they would reimburse traders who lost money by betting on the markets that he had manipulated, which I found interesting.
00:52:01.080 It just happened a couple of weeks ago, and I wasn't able to find any information confirming that they'd actually done that. So that might be an interesting thing for us to follow up on in a little while.
00:52:08.640 I love that the White House employee who misused his, like, you know, oath or whatever, duty to the American people by virtue of his job at the White House, three-year ban.
00:52:20.420 George Santos, let's just get him out of here forever.
00:52:23.380 So you're saying he got a forever ban?
00:52:25.660 I'm not saying that.
00:52:26.600 I don't know if it was a forever ban.
00:52:27.900 I think it was a forever ban.
00:52:29.660 Yeah, Kelshi was five days ago permanently banned for insider trading.
00:52:33.140 Okay, props to them because, honestly, you can't be trusting George Santos.
00:52:38.640 I love it. It's just like a moving forward. Let's just cut our losses. Our relationship ends here.
00:52:46.400 Yeah. Like if you're looking for integrity and ethical behavior, he's not your guy.
00:52:51.860 I wonder if like other prediction markets are like, you've never even been on our platform. 0.95
00:52:57.040 Let's just ban you.
00:52:58.940 Like preemptively. 0.85
00:53:00.180 Yeah. So that was George Santos. I'm sure we'll be hearing more from him soon.
00:53:05.880 There's also the case of Mark Moran, a former contestant on F-Boy Island.
00:53:10.340 He ran for the Democratic nomination of U.S. Senate in Virginia.
00:53:15.260 I vaguely remember hearing about him.
00:53:17.160 I think he did not make much of a splash.
00:53:19.540 But he also bet that he would run after he had decided to run.
00:53:24.800 And then he did run, and he won his bet before getting caught and fined for that. 0.95
00:53:30.460 There was another candidate in North Carolina, Lori Buckhout. 0.94
00:53:33.720 She bet on her own candidacy, you know, got caught.
00:53:37.140 Interestingly, she said that she hadn't done anything wrong because she bet on herself to win.
00:53:42.980 Ah, the Pete Rose defense.
00:53:44.440 The Pete Rose defense, right.
00:53:46.560 And, you know, I do think there might be some moral ambiguity, at least for Pete Rose.
00:53:51.640 I don't know about Lori Buckout, but Kalshi did not see it that way, fined and suspended her.
00:53:57.600 And there have been other politicians as well.
00:53:59.560 There's also a video editor for Mr. Beast who made over $5,000 betting on unlikely things that Mr. Beast might say. I think much like Trump's teleprompter guy, like he just had special access to what was going to come up in the videos. And so he bent on it and Kalshi investigated and found that he had near perfect trading success. Right. And I think, you know, that's another example where these cheats are not acting in very sophisticated ways. Right.
00:54:28.460 Like, if you're really going to try to cheat the system, maybe you might string a couple losses in there.
00:54:33.660 It's like when I would change my grades and when I was in high school, look at my report card.
00:54:38.340 I was, like, notorious of my family for changing my grades.
00:54:41.260 And I'd be like, don't give yourself all A's.
00:54:43.260 You know what I mean?
00:54:44.040 Like, no one's going to buy that.
00:54:47.120 Throw a couple C's in there.
00:54:49.140 Kids, don't change your grade.
00:54:50.180 Yeah, don't.
00:54:50.860 Just get good grades.
00:54:52.460 But if you're going to change your grades, at least, like, make it believable.
00:54:55.160 Like, throw out a couple C's.
00:54:56.460 Yeah.
00:54:56.940 Yeah, that's fair enough. And like you said, I think it's only fair to point out that we know
00:55:01.080 about these cases because people got caught, fined and had their accounts suspended. So it's clear
00:55:06.080 that the industry knows that this particular thing is a problem where people can be influencing the
00:55:11.760 bets that they make. And they it seems like the industry really wants to send the message that
00:55:15.280 they're cracking down on this. The comprehensiveness to which they are catching all of these. It's a
00:55:22.500 big question, you know, I don't know, remains to be seen. But then there are also some examples
00:55:26.760 of what I would call even higher stakes than these. You know, like one of the nice things
00:55:32.900 about George Santos is he just keeps giving. The stakes are always low enough that you can just
00:55:37.960 kind of move on. But there's a story of Israeli journalist Emanuel Fabian. Washington Post
00:55:44.100 reporter Garrett DeVink reported on this story where Fabian, he was a journalist reporting from
00:55:51.340 Israel, Polymarket had a market on whether an Iranian missile was going to hit Israel on a
00:55:56.920 particular day. So we're talking like war. We're talking about missiles hitting places where people 0.72
00:56:01.020 live. Very serious stuff. There were millions of dollars riding on the answer, which already
00:56:06.400 were in some pretty morally gray to bad area. But that was the situation. Fabian reported that a
00:56:16.720 missile had struck an open area near Jerusalem.
00:56:20.020 You know, he's a reporter.
00:56:20.740 He's reporting what happened in this war because his reporting would potentially determine
00:56:25.860 how that polymarket contract would get resolved.
00:56:29.080 There were people with large amounts of money at stake pressuring him to change his reporting.
00:56:34.160 Wow.
00:56:34.600 He received death threats and one person reportedly offered him a cut of their winnings if he
00:56:40.620 changed the report.
00:56:42.140 Right.
00:56:42.680 So he's a reporter.
00:56:44.060 He saw that a missile hit the territory.
00:56:45.940 He reported on that. And here was somebody trying to get him to change that just so they could win a bet. Right. And this example really sticks out to me because not only were people with financial stakes trying to affect the outcomes of these bets, they were trying to pressure a journalist in a war zone to distort his reporting on what was happening.
00:57:05.520 We depend on journalism to keep us informed about what's happening in the world outside of what we can immediately see out beyond our front door.
00:57:14.180 But here, the prediction market was attempting to bend reality by altering that reporting in order to maximize the winnings of some people.
00:57:24.620 And it just it just seems fascinating and particularly perverse there.
00:57:31.360 Yeah, and I think it really clarifies the stakes.
00:57:35.240 Again, it's one thing when we're talking about Love Island. It's quite another when we're talking about a journalist being pressured to change reporting on something like war. I should say, as a cover your ass thing, Kaoshi says that it will not list markets on war, assassination or violence.
00:57:54.400 Its newer risk review system also specifically considers whether a seemingly ordinary market could be connected to a military action or physical violence. 0.91
00:58:04.340 So that's from CalChi. That's what they say about their markets and what they say that they disallow. 0.96
00:58:11.420 My sense is that they are invested in making themselves distinct in that way. That's my sense.
00:58:20.140 Yeah, I get that sense as well. You know, and so in that case, there is a journalist reporting on war, getting pressured to change his reporting and make us all blinder to what was actually happening. But then there are other cases where there are suspicions of the people potentially involved in the decisions about military actions and war.
00:58:43.160 Right. Like there are multiple cases where suspicions have been raised that somebody with access to insider information in the Trump administration's military plans use that information to make and win bets.
00:58:56.260 Right. And there are two in particular. Again, these are no particular individuals have been alleged to have done this. But like there are suspicions.
00:59:06.580 So before the U.S. started bombing Iran in February, six brand new polymarket accounts made about just a little over a million dollars, including one account whose first ever trade came just 71 minutes before the attack became public.
00:59:20.680 So that's pretty suspicious. And then before that, before the capture of Venezuela's president, Nicolas Maduro, another account reportedly bet thirty eight thousand five hundred dollars and turn that into almost five hundred thousand dollars, placing some major trades in the hours before that covert operation became public.
00:59:42.780 That seems really coincidental. Like what a lucky person, right?
00:59:46.760 Right? Yeah. What luck? Somebody just like woke up one day and said like, hey, I'm going to create an account and bet a large amount of money on this totally random thing that I do not have any insider information about. Hey, look at that. I won half a million dollars. It seems suspicious. Now, I mean, do we really think that somebody in the Trump administration would ever do something unethical to enrich themselves?
01:00:15.820 I mean, do you think?
01:00:17.540 I don't know.
01:00:18.220 I mean, that would be news.
01:00:22.120 In any other administration, somebody would be honest.
01:00:25.320 We would have answers.
01:00:26.140 It would be something.
01:00:26.640 But, like, it's funny how in this administration, it's like, what are you going to do?
01:00:30.520 We can't get them all.
01:00:32.460 We can't get them all.
01:00:34.340 And actually, it's good.
01:00:36.660 He's a job creator.
01:00:39.140 Yeah, so hopefully someday we'll get some more information about those suspicious trades
01:00:42.120 because it does seem like particularly egregious,
01:00:46.100 but I'm not going to hold my breath.
01:00:49.260 And it kind of leads to the next thing I want to talk about,
01:00:51.200 which is where we're at regulatory-wise,
01:00:54.180 because when you tell me things like this,
01:00:57.040 it becomes very easy for me to say,
01:00:59.460 well, this is just simply an unregulated space,
01:01:01.900 even though, as I mentioned before, that's not totally true.
01:01:04.660 But when people say that, I don't feel like it's wrong, really, either,
01:01:09.160 Because of what you just said, I mean, it's hard to believe this is a regulated space when you tell me things like that.
01:01:17.640 More after a quick break.
01:01:29.900 Let's get right back into it.
01:01:31.120 i did want to talk about sort of where we are regulatory wise because those examples seem so
01:01:38.740 egregious we must know more about how they have been allowed right yeah it's like perhaps it is
01:01:44.500 a regulated space but is it a regulated space yes exactly that so right now the courts are basically
01:01:53.820 fighting over whether or not all of this is just gambling that's sort of like where we're starting
01:01:59.400 with all of this regulation-wise.
01:02:02.020 And the basic legal question is actually pretty simple.
01:02:04.800 If somebody puts money on whether a sports team wins,
01:02:08.720 does calling that transaction an event contract
01:02:12.840 transform it from typical traditional sports betting
01:02:17.040 into a federally regulated derivatives product?
01:02:21.820 It sounds absurd when you say it like that,
01:02:23.940 but yeah, I guess that's the question.
01:02:25.560 Does changing what you call a thing
01:02:27.600 magically transform it into a different thing.
01:02:29.960 I mean, I know we're trying to wrap up and I promise I won't go on the whole thing,
01:02:34.360 but that is so the tech landscape of 2026 of, well, it's this.
01:02:41.160 Like, oh, I have employees, but what if I called them contractors?
01:02:45.820 What would that get me?
01:02:46.580 You know what I mean?
01:02:47.120 Or like, oh, well, this app connects people with medical providers, but it's an app.
01:02:53.960 We're a tech company.
01:02:54.820 We're not a medical company, so we should not have to follow medical rules because we call ourselves a tech company, not a medical company.
01:03:00.520 You know what I mean?
01:03:01.060 It's like that, if there's one promise of tech in 2026 is that, is what if we call a thing that we all understand a different name?
01:03:10.140 Does that make it a different thing legally?
01:03:12.400 You know what I mean?
01:03:13.340 Yeah, yeah.
01:03:14.260 That's literally the game, it seems.
01:03:16.280 So Cauchy argues that because it is a CFTC-regulated, designated contract market under federal commodities law, states generally cannot force it to obtain conventional gambling licenses for those contracts.
01:03:32.840 That's Cauchy's position.
01:03:34.700 Then the states, they argue that sports wagers are in fact gambling and that they should remain subject to their traditional gaming authority.
01:03:43.340 Because if you go to a casino in Maryland, it is heavily regulated by the state.
01:03:47.720 It is a heavily regulated activity.
01:03:50.460 And so the state's involved.
01:03:51.800 And so basically the question is whether the courts agree with Koushi that this is a different thing, does not need to be regulated by the states, or the states, which is like, this is gambling and we should be regulating it.
01:04:01.520 Right. And I just want to underscore that analogy you made that, like, say you want to bet on the Ravens versus Commanders game, right?
01:04:08.920 You could walk into a casino in Maryland and place that bet that the Ravens are going to win, and it's regulated as gambling.
01:04:17.840 You could open your phone while inside the casino, place that bet online, and it's not gambling.
01:04:24.420 Make it make sense.
01:04:26.360 Koushi would say, it's not gambling.
01:04:28.160 This is a CFTC regulated designated contract market.
01:04:31.900 Yeah.
01:04:32.140 Totally different thing.
01:04:33.000 So, like, if the casino starts having you, like, sign a contract when you walk in, does that make it not gambling?
01:04:42.360 Great question. Great question.
01:04:43.920 I'm sure their lawyers are working on it. 0.76
01:04:45.520 I do think it matters to the gender angle of all of this.
01:04:48.740 It's sort of where these two halves kind of connect.
01:04:51.680 So imagine if you are someone who is, like, looking from the outside at a betting app like this.
01:04:59.160 And you're asking, you know, you from the outside, you see, will X, Y, Z couple win Love Island?
01:05:05.620 Culturally, you might experience that as gambling, as betting, as the traditional thing of putting money on the odds of whether or not something happens. 0.62
01:05:13.840 But under Kaushi's legal theory, that woman is not using a state regulated gambling theory.
01:05:21.860 Instead, she is purchasing a federally regulated event contract on a derivatives exchange. 0.99
01:05:28.100 Sure. As you do. Yeah. As as girls are always doing that these days. So it sounds super wonky, but it is important. That distinction potentially affects which regulator has authority, state gambling licenses, minimum age rules, responsible gambling requirements, consumer protections, taxations and what markets can legally be offered.
01:05:48.240 So this kind of pedantic sounding fight over whether we call this trading or gambling is not just semantics. There could be billions of dollars, not to mention the sort of gambling experiences of millions of people riding on that one single distinction.
01:06:03.440 And again, people like me, I've definitely said that these spaces are totally unregulated and it's not completely true.
01:06:11.320 Koushi is not simply operating without government oversight.
01:06:14.980 The CFTC regulates federally designated contract markets.
01:06:18.660 And in February, the agency specifically warned prediction market participants that federal commodity rules against fraud and misuse of non-public information apply to events contracts.
01:06:28.840 So there is some regulation.
01:06:30.280 That said, states argue that this federal oversight is not a meaningful substitute for the gambling-specific regulatory systems that they have built that we're all pretty familiar with in the states, if your state allows gambling.
01:06:44.060 So the dispute is not kind of regulation versus no regulation.
01:06:48.860 It's more financial market regulation versus what we understand as like gambling regulation that have been around for decades and whether they both can apply.
01:06:58.500 It's kind of an interesting, like, I know it's a little bit wonky, but it's kind of an interesting designation and fight.
01:07:04.380 It is. Yeah. And I think it can quickly get very boring.
01:07:08.300 But the topic of how are these things regulated just in general, how are industries regulated products when they have profound influence over our lives, I think is an important thing.
01:07:23.500 And, yeah, it'll be interesting to see how it gets resolved.
01:07:27.580 Everything I just told you about, here's why I think it's happening. It's not because prediction markets, polymarket, Kalshi, give a shit about women, give a shit about empowerment, care about me as a woman and my particular struggles and how I feel about Love Island or whatever the fuck. No. 0.99
01:07:44.060 The reason why I believe these platforms are trying to expand beyond sports and into reality TV and other cultural events, beyond just wanting more market capture, is because still, right now, the main thing on these platforms, despite all of this, is still sports.
01:08:02.100 That is still happening.
01:08:03.140 The Atlantic reported that over one six-month period, 88% of Calci trading was sports.
01:08:08.140 That's based on analysis from the investment firm Paradigm.
01:08:11.180 Crypto was a distant second.
01:08:13.160 So if the main thing that people are trading on is sports, it starts to look a lot like a traditional sports book.
01:08:22.340 You get what I'm saying?
01:08:23.160 If almost everything people actually trade on on prediction markets is sports, state regulators have a much easier argument with saying, oh, this is just good old fashioned traditional sports betting.
01:08:35.820 With a more diversified platform, with markets around Love Island, politics, entertainment, culture, reality TV, that better supports the argument that prediction markets constitute an entirely new type of information, media, financial marketplace.
01:08:54.300 So that's why I think, you know, other than just the good old fashioned wanting more of the market, wanting more women, more audience, yada, yada, yada. Yes, that. I also think they need to have this new cultural kind of like soft women's media stuff on there to legally distinguish them from being traditional sports book gambling that we all are familiar with. You get what I'm saying?
01:09:18.520 I do. That is such an interesting angle that I had not even thought about. Yes. Thank you for connecting those dots. Huh. So they don't just want your money. They also want you as like a shield to protect them from regulatory oversight.
01:09:35.520 oversight. Bingo. And this is where I must say, thanks to Engineer Bree, I have a camera that I
01:09:43.780 can look directly in to address you women listening at home, which I never get to do in my kitchen,
01:09:48.980 but I get to do today here in Bahamar. Women, I need to be so clear. We are not falling for the
01:09:57.900 rebrand of prediction markets. We are too smart for that. Let's keep it that way. They did not
01:10:05.420 just invent some cute new way for you to monetize how much you know about Love Island.
01:10:11.140 They are trying to take gambling, put in a cute outfit, give it a matcha, and put it on your TikTok
01:10:17.260 page because they want your money, because they want your attention, your eyeballs, and because
01:10:23.340 they want you and your interest in this platform to legally designate them from traditional gambling.
01:10:30.100 For years, the gambling industry has been very, very, very successful at getting men to turn watching sports into an opportunity to lose their money.
01:10:41.280 That's them. That's not us.
01:10:43.820 But now there is an enormous population of women who do not think of themselves as gamblers.
01:10:50.840 Because suddenly, it's not betting. 0.88
01:10:53.720 Oh, you're trading.
01:10:54.960 You're monetizing your experience.
01:10:56.920 You're girlbossing because you know who's getting dumped first from the villa.
01:11:01.960 Maybe it makes you $10 and that means your iced coffee was basically free. 0.62
01:11:07.000 No. 1.00
01:11:08.240 Girl math is bullshit. 1.00
01:11:09.720 Your coffee was not free. 1.00
01:11:11.700 You gambled $10 and happened to win once.
01:11:15.940 And again, I find the language of empowerment so deeply insulting.
01:11:22.360 Women spent generations fighting to have our expertise taken seriously, to control our own money, to participate fully in financial life.
01:11:31.820 And now somebody has figured out a way to try and take the language of financial independence and use it to sell us on a wager of whether or not Taylor Swift drops an album or gets engaged.
01:11:44.000 I say, no, you will not. Not today, Satan. Not ever. You do not need to monetize every opinion
01:11:51.840 that you have. You do not need financial exposure to your favorite TV show. You are allowed to know
01:11:58.860 exactly what's going to happen on Love Island and receive absolutely nothing for that other than
01:12:05.560 the privilege of being probably kind of annoying in the group chat. And remember why they are
01:12:11.300 suddenly talking to us this way. Women did not just suddenly discover that gambling could be 1.00
01:12:17.180 feminist. These companies looked at a customer base that was disproportionately male and saw 1.00
01:12:23.260 billions of dollars of profit and power still sitting on the table. That's us. That's you.
01:12:31.700 They want your money and they want you to normalize this shit. Worse, they think that you are stupid 1.00
01:12:38.180 enough to pay them for you to do that work for them for free. So when an industry that has spent 1.00
01:12:46.220 years perfecting ways to separate people from their money suddenly shows up in your feed speaking
01:12:52.260 fluent, cultural, kind of girly pop language, do not mistake being targeted for being empowered. 1.00
01:13:00.100 They did not make gambling for women. They just made gambling that looks and feels like it is
01:13:05.960 not gambling do not fucking fall for it that's it that's all i have damn we're gonna have to get a 0.98
01:13:14.640 camera so that you can speak directly to camera i'm gonna start doing you remember when you would 0.99
01:13:18.780 stay home sick and watch jerry springer and it would be jerry's final thought where he would
01:13:22.000 like he would have people on stage like punching each other and then he would look at the camera
01:13:26.140 and be like let's be kind to ourselves and each other's friends i'm gonna start doing b's final
01:13:31.260 Well, Engineer Brie has taken such good care of us here at Bahamar.
01:13:37.060 Again, I'm quite picky about my podcast setup, and I could not have asked for a more professional setup and engineer.
01:13:45.500 Thank you, Producer Brie.
01:13:46.920 Yeah, thank you, Producer Brie.
01:13:48.840 And thank you, Bahamar, for having us.
01:13:51.280 This is such a cool studio.
01:13:52.720 It's really just great to be in a professional space like this and know that we have such a beautiful spot outside to get back out to now that we're done recording.
01:14:03.520 So let's do that.
01:14:05.360 B, any final, final thoughts?
01:14:07.280 Take care of yourselves and each other.
01:14:10.240 All right, let's hit the water park.
01:14:16.680 Got a story about an interesting thing in tech or just want to say hi?
01:14:20.200 You can reach us at hello at tangody.com.
01:14:22.180 You can also find transcripts for today's episode at tangody.com.
01:14:25.940 There Are No Girls on the Internet was created by me, Bridget Todd.
01:14:28.680 It's a production of iHeartRadio and Unbossed Creative.
01:14:31.380 Jonathan Strickland is our executive producer.
01:14:33.440 Tari Harrison is our producer and sound engineer.
01:14:36.060 Michael Amato is our contributing producer.
01:14:38.060 I'm your host, Bridget Todd.
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