In short
Prediction markets’ rapid mainstream rise and whether they’re “gambling dressed up” as financial instruments, plus the regulatory fight between the CFTC and state gambling regulators.
Guests
Kate Nibbs, technology reporter at Wired (started covering prediction markets full time after pitching it to editors; previously covered AI copyright battles and regulatory gray areas).
Key claims
The boom is driven by “casinofication” and gamifying risk, and by a friendlier federal posture under the Trump administration (including Donald Trump Jr. advising/investing in Kalshi/Polymarket and CFTC leadership asserting jurisdiction). Markets are mostly sports bets (often 80–90%+). Prediction markets may not “stick” long-term because regulation could change, but the risk-gamifying behavior likely will.
Notable examples
CFTC licensing enabling Kalshi nationwide; Polymarket’s Biden-era ban/limited re-entry; Kalshi temporarily banned in Nevada; Elon Musk/Joe Rogan election “prediction” references; bets on Super Bowl halftime/Bad Bunny-related production; Israel case arresting people suspected of Polymarket insider trading; media/entertainment interest (Golden Globes/possible Oscars integration).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOIntroduction to Prediction Markets
0:45 to 1:50
Explore the rise of prediction markets and their implications.
“I'm also chief correspondent at Business Insider.”
Kate Nibbs' Reporting Journey
1:50 to 2:51
Kate Nibbs shares her motivation and insights on covering prediction markets.
“She is the excellent technology reporter at Wired.”
The Cultural Impact of Prediction Markets
2:51 to 4:10
Discuss the intersection of prediction markets and the gambling culture.
“So summarize the memo, because there's lots of things that are weird in tech and some things come and go, right?”
The Evolution of Betting Trends
4:10 to 6:00
Analyze how betting has transitioned from niche to mainstream.
“It's funny because I did dabble in NFT coverage and I wrote about this completely bonkers startup that allowed you to make an NFT of your tweets and then sell the NFT.”
Historical Context of Prediction Markets
6:00 to 7:35
Understand the historical development of prediction markets and their regulation.
“And that leads us to prediction markets.”
Political Dynamics in Prediction Markets
7:35 to 10:04
Examine the political landscape surrounding prediction markets and regulation.
“And that all stems from this guy, I think it was like in the 60s, basically seized control of the onion futures market in such a way that there is this huge outcry and it was categorized as gambling.”
The Future of Prediction Markets
10:04 to 14:00
Discuss the potential future of prediction markets in the U.S. and abroad.
“a very different conversation if we were looking at a different administration in power.”
Regulations and Prediction Markets
14:00 to 15:00
Explore the complexities of prediction market regulations and their implications.
“has some democratic lawmakers on its side.”
Polymarket vs. Kalshi: User Experience
15:00 to 16:00
Understand the differences in user experience between Polymarket and Kalshi.
“And actually, there was a problem actually funding it, but whatever.”
Insider Trading in Prediction Markets
16:00 to 17:40
Discuss the potential for insider trading in prediction markets and regulation challenges.
“It went through this licensing process with the CFTC.”
Show all 20 chapters
Market Size and Trends
17:40 to 23:20
Analyze the size of prediction markets compared to traditional betting.
“Because Kalshi is definitely for like just a regular person who wants to experiment with these.”
The Dominance of Sports Betting
25:00 to 28:00
Examine the role of sports betting in the prediction market landscape.
“And we're here to invite you to the Curiosity Shop.”
The Future of Prediction Markets
28:00 to 28:50
Explore how prediction markets are evolving and their connections to sports betting.
“And when the Polymarket and Calci people are speaking to consumers and to investors, is sort of that the way they imagine the market is going to go?”
Arguments for Prediction Markets
28:51 to 31:00
Discuss the arguments for democratizing prediction markets and their societal value.
“I think that was more tied to the original idea.”
Challenges of Scalability in Prediction Markets
31:01 to 32:09
Analyze the potential issues as prediction markets grow and their predictive effectiveness.
“And these are ways to do so that are more effective than others.”
Media Interest in Prediction Markets
32:58 to 36:25
Examine how media and entertainment are incorporating prediction markets into their strategies.
“One of the industries that's become very interested in this are the media and entertainment industries.”
Ethical Concerns Surrounding Prediction Markets
36:26 to 40:10
Discuss the ethical implications and responsibilities of prediction markets on society.
“And it's already we've already crossed into the icky zone a bunch of times.”
Personal Experiences with Prediction Markets
40:11 to 42:01
Hear personal anecdotes and experiences related to betting in prediction markets.
“Like in the past few months, we've really seen this major push to make sure everyone knows that they do have rules and they're not just a Wild West.”
Discussion on Prediction Markets and Journalism Ethics
42:01 to 43:29
Learn about the implications of prediction markets in journalism and personal experiences with betting.
“I got to ask my editors, too, like whether we're going to put anything in our employee handbook about whether we can use these markets or not.”
Thanks and Acknowledgments
43:30 to 44:02
Hear the host acknowledge guests and contributors, highlighting their roles.
“You've just given me a really good story idea.”
Transcript
Automatic transcript. May contain errors.0:00If you're tired of endless scrolling to figure out where to eat, same. I'm Stephanie Wu, Editor-in-Chief of Eater. We've just launched the new-ish and way better Eater app. It has all the restaurants we love, gives you personalized picks wherever you are, and serves up smarter search results just for you. You can find my list of the best places for martinis and fries in New York City. And save your favorite spots, share lists, follow editors, and book right in the app. Download the Eater app at eaterapp.com. It's free for iOS users.
0:40Peter Kafka:From the Vox Media Podcast Network, this is Channels with Peter Kafka. That is me. I'm also chief correspondent at Business Insider. And today we are talking about the gambling industry, except it's not called the gambling industry. Instead, it's called the boom business for prediction markets, which have gone from super niche to super mainstream in the last couple of years. There are many signs that prediction markets are a big deal or potentially a big deal, including inescapable marketing campaigns and sky high valuations for companies like Calci and Polymarket. Another indicator, Kate Nibbs, the excellent reporter at Wired, has started covering prediction markets full time after proposing the idea to her editors.
1:25Peter Kafka:So this is one of those, Peter has a lot of questions for an expert episodes. And I do have a lot of questions about prediction markets, starting with why now? And are these things going to stick around? And who's going to regulate this stuff? And is this good for society? And wait, isn't this just sports betting dressed up as something else? Kate patiently walks me through all the stuff, and I'm glad she did. I think you will be too. So here's me talking to Wired's Kate Nibbs. I'm here with Kate Nibbs. She is the excellent technology reporter at Wired. Welcome, Kate. Thank you so much for having me.
2:01Peter Kafka:I was going to describe what your beat is, but it's a new beat. So you tell me, what is your beat and how did you decide this was a beat worth covering? I see it as related to some of my old beats. Prior to this, I was covering a lot of the AI copyright battles because I love anything that involves a regulatory gray area. Get me on Pacer and I'm happy. And so like a tech mess. Yes. I love a tech mess. And I was watching prediction markets explode in popularity while I was on maternity leave at the end of last year, thinking to myself, somebody needs to cover this. And then thinking to myself, I should cover it.
2:40So I came back to work with a memo for my editors, basically saying like, please put me on this. I really think it's a wild moment that is so wired in so many ways we got to get covering it.
2:51Peter Kafka:So summarize the memo, because there's lots of things that are weird in tech and some things come and go, right? Like you could have in 2021 said, I'm going to be all in on NFT coverage, right? And maybe that would have been great. And then, you know, nine months later, who cares? Why is this worth something that is you think is going to presumably you think prediction markets are going to stick around, are going to be meaningful in some way? Why is that? I think that they're part of this larger story about the casinofication of everything and risk becoming a bigger part of regular people's lives.
3:22This is a story about gambling in a lot of ways. I also think that it's a story about changes that are happening to the global financial system that are troubling. I don't know if prediction markets will be here in five years in the same way that they're here now, because it really depends on what happens with regulating these markets. But I think the behaviors that they're engendering in people like these these increased appetites for risk and gambling and taking wild financial chances and like gamifying our everyday lives and our consumption of news. I don't think that those things are going to go away.
4:03Peter Kafka:And so I see it as maybe if you started covering it, maybe this would have been a direct link from the NFT boom. Right. Yes. Totally. Crypto and pandemic. It's funny because I did dabble in NFT coverage and I wrote about this completely bonkers startup that allowed you to make an NFT of your tweets and then sell the NFT. And I did that. And then I was the first and last reporter to do that. They were like, you know, you're not allowed to sell your tweets as NFTs. I tried doing that and no one wanted to buy my ad. Unless I was doing the wrong one. Who knows? And now, you know, I think the market's over there.
4:38But so I saw there's now a startup that is allowing people to make prediction market wagers on how popular people's tweets are. And I really see them as spiritual siblings. I got to look into whether they have any of the same founders or not. But, yeah, it's all part of this. I think NFTs are truly part of this bigger story about the corrosion of American culture via gamifying and financializing everything.
5:05Peter Kafka:So I'd heard about prediction markets a few years ago. A guy I know who's got a day job in media was telling me he made more money betting on politics on, I can't remember his call she predicted. He was making more money because he thought he had a smart edge on politics. I don't know if he still does. When did this go from weird guy I know who's in the sort of fringes of tech and media to mainstream thing that you see advertised nonstop? nonstop. What spurred that move? I'm really curious if that guy was actually really good at betting or just really underpaid, but we could talk about that later.
5:41So there are a few different ways of looking at this. Like in one sense, this is pretty recent. It mainly came around when there were changes made that allowed Calci and Polymarket to really take off in the U.S. in another way the story of this started earlier when gambling like sports gambling became legal and people just got more accustomed to spending money on wagers on their phones so sports betting
6:11Peter Kafka:gets effectively legalized in 2018 and then rolls out on a state-by-state basis it's not legal everywhere in the u.s we could talk about that yeah um but that's so you're you're you're saying OK, people got more used to sports betting, doing betting on things from their phones. And that leads us to prediction markets. Yes. But then I do think that, you know, as you were saying, there's Predict It, which is a smaller election themed market. I actually played around on it probably five or six years ago. I made some money on John Fetterman winning. The concept of a prediction market is pretty old.
6:44Like they've been around for a while. There was an, you know, the University of Iowa ran an elections themed market. Predict it is from New Zealand, I believe. So in a sense, you know, they started out as this sort of academic niche thing and then grew and then just had this explosive moment. I also think there is a very compelling case to be made that these really are, as some of the people who work for these markets would have you believe, that these really are financial instruments. And that to talk about prediction markets, you can go back and talk about like the start of the commodities marketplaces in places like Chicago, where I'm from.
7:26You know, there are some really arcane laws about what you can and can't wager on or make trades on in prediction markets. One of them, you cannot buy contracts about onion futures. And that all stems from this guy, I think it was like in the 60s, basically seized control of the onion futures market in such a way that there is this huge outcry and it was categorized as gambling. And federal regulators just said, no more onions. You know, onion markets too corrupt. We can't do that.
8:04Peter Kafka:This is like the end of Trading Places with the orange futures. Yes. Yes. So I like I do think that there is like a reasonable position you could take is that this is prediction markets are truly an outgrowth of crazy futures trading. And again, the idea, the reason I mean, you're the expert, but my understanding is like the reason this stuff is regulated to any degree at all by commodity future. Yeah. CFTC Commodity Futures Trading Commission. is because these derivatives and being able to hedge risk if you're in agriculture, essentially, or other industries is a useful thing. And so if you're in the orange business, but you also think that maybe oranges are going to have a bad year, you can sort of hedge appropriately for that risk.
8:48Peter Kafka:And that's a real tool that people use. It is a real tool. And then so the modern prediction markets are arguing pretty forcefully right now that they can be used in the same way for a wide variety of things. You'll hear boosters of the industry talk about how, you know, energy firms are hedging on weather markets and like whether the Strait of Hormuz will open or close. So, yeah, that is a viewpoint. So before we get too esoteric, let's just talk about a bit about sort of the modern incarnation of these. I feel like these got national coverage in 2024 around the election. I think Elon Musk was telling Joe Rogan that he had a machine that could predict the future.
9:29Peter Kafka:And it turns out he was talking about prediction markets. And there was a lot of, you know, the prediction markets more accurate than the polls. And maybe there was some argument that it was. And then maybe not coincidentally, you have a Trump administration that gets elected after 24 that seems remarkably receptive to this stuff. And in fact, Donald Trump Jr. is connected to both Kalshi and polymarket. So how much of the boom is literally because we have a new administration and regulators and boosters who are in power who want this stuff to happen? I definitely think we would be having a very different conversation if we were looking at a different administration in power.
10:11Because, yeah, as you mentioned, Donald Trump Jr., he's an advisor to both of these companies, and I believe he's invested in polymarket as well. And then the Trump family, you know, have truth social, they're actually planning their own prediction market. Sure, why not? Yeah.
10:26Peter Kafka:Totally normal. And so they're friendly, obviously, in that way. The CFTC under the Trump administration has taken an extremely friendly approach thus far. They are adamant that they are the proper regulator of these markets. And the reason they've had to come out and say, this is our jurisdiction, everyone else back off is because there is currently this huge push from a variety of different like state regulators and authorities to try to get some of these prediction markets to abide by state gambling laws. And, you know, that would really curtail how they operate. And yeah, like the federal government right now is saying, no, we want them to grow and flourish and we don't want them to have to abide by state gambling laws.
11:11Peter Kafka:So there's a bunch of stuff going on here. There's a turf battle right between federal regulators, state regulators, politicians. It does not break down cleanly on Democrat Republican lines. So this could take forever. But can you broadly sort of explain who's pro prediction markets politically and who is trying to push them back? I mean, presumably, if you run a legal gambling company, you probably don't want competition from prediction markets. But I think those guys are also investing in it. So tell me how this how the battle lines. Yeah, they are. It's a very it looks like one of those boards where you got the crazy guy with all the different things.
11:49You know, I'm talking about the red string. Yeah. So it doesn't break down right versus left or Democrat versus Republican. The federal government thus far has been quite friendly, as we were saying. The CFTC. It's not like they're not regulating them at all, but they're taking a pretty laissez-faire approach. They don't want the states to have jurisdiction. Various states in particular.
12:11Peter Kafka:And they're out there doing interviews. The head of the CFTC is doing op-eds saying, don't come near this. This is my deal. Yeah. He literally said, see you in court, I think, to Senator Cox in Utah. So there's some states like Utah where gambling is straight up illegal. And they are coming at this from like a principled, we don't like wagering position. Morality, religion. Yeah, morality. But then there is also this huge push from states like Nevada where gambling is really intrinsic to the culture. And their issue with this is not about morals. It's about getting tax revenue and having these upstart companies follow the same rules that the casinos have been made to follow.
12:55So Kalshi is actually temporarily, most of its markets are temporarily banned in Nevada as of Friday because of these ongoing legal disputes. A court order went out banning it. But so, yeah, so there's federal versus states. And some of the players in the federal space are Republicans and some of the players in the states are Republicans and they're at each other's throats. There's a big push by lots of different members of Congress. It's pretty bipartisan to introduce legislation to put guardrails up in the industry. There is a piece of legislation just introduced today that would ban sports contracts, which are like by far the most popular.
13:39I think it's like the sixth or seventh piece of legislation on this issue introduced in the past few months. Um, there's, uh, you know, a bunch of new lobbying groups like Trump's ex chief of staff, Mick Mulvaney has introduced a anti prediction market lobbying group called gambling is not investing. Um, but then the, um, prediction market industry has its own lobbying group that actually has some democratic lawmakers on its side. So it's just this big messy battle right now.
14:12Peter Kafka:And so it could get dealt with by Congress. Congress doesn't really do much in the modern incarnation, although they did pass the ban TikTok bill a couple of years ago. And again, now no one can use TikTok, right? Yeah. It seems like it's going to end up at the Supreme Court at some point as well. I think so. I think maybe even as early as this year. And then part of the thing that makes this so interesting is that this is an Internet product, right? So lots of stuff is happening outside of the U.S. And in fact, I think you tell me, but my understanding is most people in the U.S. can't use Polymarket legally.
14:51Peter Kafka:You can explain to me how it works. But I know that Kelshi sent me an ad of the day of the Super Bowl and said, you should bet on the big game. And I downloaded the app and I connected it to my Apple Pay and it took all of a couple minutes. And actually, there was a problem actually funding it, but whatever. But his point is I was able to make a bet legally right away. I lost my money on the length of the Super Bowl pregame, I guess. But when I go to Polymarket, it either tells me I can't use it in the U.S. or I can't use it in New York. And I'm pretty sure that if I do use it, I need to use a VPN and or crypto.
15:24Peter Kafka:And it's confusing me because I see Polymarket and CalShare referred to as sort of equivalent. But it seems like there's a lot more friction to involve yourself in Polymarket. So, first of all, how does something happen off books outside of the U.S. in a way that lots of people in the U.S. can actually use? So most of the people in the U.S. who are using Polymarket are using it via VPN, a virtual private network. So as you're saying, these two companies get brought up in conversation a lot because they are by far the two leading companies in the space, but they are pretty different. CalSheet is currently federally legal in all 50 states.
16:01It went through this licensing process with the CFTC.
16:04Peter Kafka:Got licensed by the CFTC. Um, Polymarket was actually banned by Biden's CFTC because it didn't go through what it, that version of the CFTC deemed the appropriate processes. The CEO got raided, right? Right before or after the election? Mm-hmm. And he was very blasé about it and I think kind of flipping everybody off and thought it was a big hoot. So now they're allowed back in the U.S. in a very limited capacity. There's like a wait list you have to join and they're only offering a very small smattering of contracts, mostly on sports. So when you hear about people using Polymarket to, for example, bet on events in the war in Iran, that's the international version, which people in the U.S.
16:45are not legally allowed to use. And yeah, so people in the U.S. who are using it are getting on a VPN. And then because it's crypto based, they can go via a crypto wallet that's not I mean, it's traceable, but there's not this huge enforcement push to bust a random man in New Jersey for betting$500 on international polymarket. So, yeah, they're quite different.
17:12Peter Kafka:If you told me I had to make a bet on polymarket, I'm sure I could figure out how to do it. I'm sure I could figure out how to download and use a VPN and a crypto. But it wouldn't be easy. Do you have any sense of sort of like when we talk about Kalshi and Polymarket, if they really are sort of roughly equivalent or one is the dominant one and the other one gets a lot of attention? I think that Polymarket, because it was sort of the first big name, might be coasting a little bit on its name recognition in comparison to how popular it is. Because Kalshi is definitely for like just a regular person who wants to experiment with these.
17:48It just is way easier to use for people in the United States. But you got to remember, this is a global thing. And like people in Europe are super into Polymarket. They're placing all there was this French guy who made hundreds of thousands, if not millions of dollars on Donald Trump's election. So, like, it is popular. It just there is this barrier to entry in the U.S. right now.
18:11Peter Kafka:Can you help? I should have asked this at the beginning, but I'm not very good at podcasting. Can you size the market for me? I've been looking around. It's very hard to figure out how big prediction markets are in general and how that compares to, like, legal betting. Yeah. So there are a bunch of different ways to look at like the volume and how many trades are happening. And it's harder to get a sense of the users. I know that it is still a lot smaller than sports betting. When we're talking about legal sports betting, like the volume that something like Kalshi is doing is less significantly than the volume of something like FanDuel or DraftKings.
18:49kings.
18:51Peter Kafka:And I want to get to the sports betting stuff in a second. But while we're talking about regulation, there is this ongoing discussion about insider trading and how do you regulate it? And also, is there such a thing as insider trading on these prediction markets? Because I've heard people in the past say there is no such thing. You want people with inside information to bet because they know what's going on and that's democratizing information. I can kind of see that argument, but it also, it makes no sense. If you have the ability to profit directly from this, it seems like it's going to lead to all kinds of problems.
19:26Peter Kafka:But for starters, who is going to regulate this stuff? I just saw right before we started recording a story across the wire saying, oh, Polymarket now has insider trading rules. And I thought, that's interesting. Why did they just announce those? So what do the markets themselves say about insider trading? And what do people who have the ability to fine or jail these folks, say, about insider trading? So one thing to note is like when we talk about insider trading, we're usually talking about it in the context of like someone who's an insider at a company like Google or something, taking non-public material information they know about that company and using it to profit in like the stock market and in traditional financial systems.
20:12Peter Kafka:And there are real rules about that. It's still There are real rules. Like, you know, companies have very clear definitions about what non-public material information is and how you can use it. And the fuzzy thing about prediction markets is now that there are so many different forms of contracts. Sometimes it's kind of clear because, you know, there are markets that let you bet on, like, how Google's earnings, what Google's earnings look like. Like, you know, you could see very easily how someone would insider trade on that if it was a Google employee making that kind of bet on a prediction market.
20:50Peter Kafka:And do the prediction markets say that's not legal? I mean, Google would have a problem with that, obviously. Yeah, it's against their terms. And I think that that would fit the definition of an insider trading situation from the CFTC. But then you have all these situations like at the Super Bowl, you could bet on like which song Bad Bunny would perform first. And then people were saying, well, what about, you know, if if one of the people who were the grass in his halftime show. There were thousands of people involved in the production of that of that of that halftime show or directly involved or would have knowledge of that.
21:24Peter Kafka:Could they bet on that? Yeah. And like all of them have cousins that they probably told. Can the cousins bet on it? So in situations like that, it's a lot fuzzier. And then it really comes down to enforcement discretion here, though. Like who is actually going to be arresting the cousin of the bad bunny grass for this? So there's two different things, right? There's what are the markets themselves say about this? Do they it seems like they want some kind of insider trading not to be illegal, but they're OK with other stuff. So Kalshi has really come out swinging, trying to establish itself as like the good angel on your prediction market shoulder versus like the bad boy poly market.
22:01But they have this whole enforcement wing and they recently released some information about insider trading cases that they'd flagged to the CFTC. They were pretty small potatoes cases, honestly, but they're at least making one was like an editor at Mr.
Read the full transcript
22:18Peter Kafka:Mr. Beast's content farm. But yeah, their stance is you can't insider trade and we're going to we have. We don't want you to do it. And if we find out about it, not only we kick up the platform, but we'll report you to the feds. Yeah. Yeah. The CFTC came out on X and posted that it looked like those cases that Kalshi had reported, the fact pattern appeared to confirm or like suggest insider trading. Like, we'll see what happens if anyone gets arrested. I also, because Kalshi is like a licensed financial instrument, it can fine its users. So it fined people. I don't think that's very well known that you could actually just straight up somehow owe the prediction markets money if you do something that they deem illegal.
23:02Polymark is a funnier case, though, because it has this big international component and because it's sort of it's more of a like ideologically driven company. It seems, you know, a little more libertarian. And Shane Copeland, the CEO, had come out and said he's the one who was like making a case for why insider trading was actually good. So I did. I also saw a brief post on X about them coming out with some new surveillance tools for their international version. But I actually was just trying to find any more details about it and I can't. To my knowledge, there hasn't been a situation, at least one made public, where Polymarket has alerted authorities about insider trading or market manipulation.
23:50There has been a case in Israel where the government arrested two people because they suspected them of insider trading on information about war movements on Polymarket. Right.
24:06Peter Kafka:And presumably, right, you could like say you knew the U.S. was going to start bombing Iran on a certain date because you're in the military or your cousin is or something. You could definitely get in trouble with the armed services for passing that information along. But it's possible that that would be legal according to either Polymarket or Kalshi. I think it would probably be considered against their TOS, but then it's like who is, for Calci at least. Again, I'm a little, I'm not sure what happened today with Polymarket, but it's whether or not it technically violated any sort of bylaws. It's just right now we are not seeing any major effort to tamp down, especially with Polymarket, which again is where there's more room for this kind of behavior because Polymarket has more markets just in general.
24:57Peter Kafka:We'll be right back with Kate Nibs, but first a word from a sponsor.
25:04Hi, I'm Brene Brown.
25:06Peter Kafka:And I'm Adam Grant. And we're here to invite you to the Curiosity Shop. A podcast that's a place for listening, wondering, thinking, feeling, and questioning. It's going to be fun. We rarely agree. But we almost never disagree, and we're always learning. That's true. You can subscribe to the Curiosity Shop on YouTube or follow in your favorite podcast app to automatically receive new episodes every Thursday. For the last 10 years, everything in American politics has basically revolved around one man. And as a political journalist who came of age during Donald Trump's rise in 2016, I've had a front row seat.
25:43Peter Kafka:I am officially running for president of the United States. It's going to be only America first. America first. Thousands of supporters of President Trump stormed the U.S. Capitol building. But is it possible to talk about politics without talking about Donald Trump? That's the question I'm going to ask in our new show from Vox. The idea of like a post-Trump or not exactly Trump-focused show can exist because he's not really driving any agenda items. It really does feel like so reactive. You know, I think this Iran thing is also going to cause a big split in the GOP. So far it doesn't among like people who say they're MAGA voters are still with Trump.
26:24Peter Kafka:But like for the first time, you see on a major issue open opposition from the start of this war. I'm Estet Herndon. And welcome to America Actually.
26:39Peter Kafka:And we're back. So we've been talking about the different things you can bet on. And you brought up the French guy who made all the money betting on Trump in 2024. And that lit up a lot of signals for a lot of people like, oh, I could I could bet on things other than sports. That said, I see a ton of Calciads coming across my TikTok. My hunch is, is that the bulk or a meaningful amount of at least U.S. prediction market betting is sports betting. And I'm assuming that is in states like Texas and California, where you can't legally bet on sports, but you could bet on sports through CalShe. So first of all, do we have data about sort of what percent of the bets are actually sports bets versus everything else?
27:21Yes, there have been a few different studies and it's, you know, higher than 80 percent in some cases, perhaps higher than 90 percent. And so, yeah. It's sports betting. It's sports betting. or sports related.
27:34Peter Kafka:So it's just sports betting that you could normally be doing on FanDuel or DraftKings. Yeah, although they would, there's like all these different, you know, they're technically different because you're buying a contract. But we're still scratching the same age. Yeah, yeah. But you're putting money down on the outcome of a sporting event. So, yes. So that is, you know, you can't talk about prediction markets without talking about the sports component because that is the majority of their customers. And when the Polymarket and Calci people are speaking to consumers and to investors, is sort of that the way they imagine the market is going to go?
28:10Peter Kafka:Or do they say, no, no, literally everything one day will be something you could. I know the Calci guy had some quote about everything should be financialized and you should bet on everything. Is that what they really think is going to happen? Or is this really effectively a sports betting competitor that's sort of gussied up with other language and regulations? I think right now, anyone who's honestly looking at these markets will admit that as they function now, they are primarily competitors or complements to sports betting because that is just where the volume is. Like both projects did not start out intending to be these hubs of sports betting, though.
28:51They definitely both come from these philosophical schools where they think that they are genuinely useful forecasting tools and they really endorse the idea of allowing people to make money predicting the outcome of all sorts of different future events. More about politics and world news. I think that was more tied to the original idea. But yeah, so they basically fell backwards into being really big players in the sports wagering world.
29:26Peter Kafka:So tease out the prediction markets are good, actually, arguments. So leaving sports betting aside, because it seems like either that's going to be legal or it won't, and people will either enjoy it or they won't. But on the one hand, I think a lot of people hear, why would you want to be betting on war or any of these outray things that you can bet on a prediction market? And I can imagine a counter is, what do you think people in financial services do all day? What do you think they're doing when they're betting, when you're making contracts on the price of oil, right? You're betting on what's going to be happening in the Gulf, et cetera.
29:58Peter Kafka:You can make hedge funds can make bets essentially on who's going to win an election because they're figuring out how regulation is going to work. Why shouldn't this be available to everyone? If sophisticated financial institutions can do it, why can't I do it? Yeah. Is that more or less the argument? That's one argument is, you know, this democratizes something that's available to quant firms and traders. Like, let's let retail people get involved. They should be able to have a say. We're all consenting adults here. Why do you have to get a license to be able to bet on who wins? Which, like, I find fairly reasonable, honestly.
30:37Like, although for me, it's less like making geopolitically tilted financial transactions is good and everyone should do it and more. It's kind of all slimy. So why? We can all get in the muck. We can all get in the muck. But then there is also this idea that these are valuable forecasting tools and that, you know, we as a society are better off if we can glimpse our future. And these are ways to do so that are more effective than others. Whether or not that's true is like a whole thorny debate because there are instances where it was clear that the prediction markets did do a better job than traditional polling.
31:25case in point, some of the most recent U.S. elections. But, you know, it's like as they grow more popular, they can increasingly become victims of their own success because there will be more parties involved attempting to manipulate the markets and they become less of a tool to get like a pulse check on how regular people are feeling and more of just a tool to see how market makers and certain forces that are able to shape the markets feel and they just lose their efficacy basically. They gain more traction. There's also one of the other reasons...
32:05Peter Kafka:The more distributed this gets, the less good they become at predicting the future. Yeah, that's an argument. But again, it's like we're still kind of too in it to know whether that's true or not. We'll be right back, but first a word from a sponsor.
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32:57Peter Kafka:And we're back. One of the industries that's become very interested in this are the media and entertainment industries. All kinds of big mainstream media organizations, CNN, CNBC. I don't believe your employer, Condé Nast, is doing this. I don't think the folks at Axel Springer are doing this at Business Insider. I don't think Vox Media is doing it. But a lot of these folks are signing up to do deals with Kalshier Polymark. And I think essentially to sort of like treat them like a ticker and say, you can see what people think about the future of oil here. I don't think they're participating directly in it, but I know the sports leagues are also interested in this.
33:38Peter Kafka:Baseball just signed up. That seems to me to be a direct connection. Like, all right, this is sports betting, so we want to be involved in it. And we used to hate sports betting, but now that it's sports betting is legal, we want to be involved in it. And then, you know, I was talking with Matt Bellany from Puck a couple weeks ago at the Oscars and saying, you know, you know, you could bet on whether Michael B. Jordan or Timothee Chalamet was going to win Best Actor. I bet on Timmy. I'm sorry to hear that. So I lost my money. It's all right. Well, you know why? Because Matt Bellany gave me a bad insider tip.
34:05Peter Kafka:Wow. But he was saying, yeah, we think the Oscars will definitely want to incorporate this in some way. We already saw it with the Golden Globes because it will bring more attention to the Oscars. And that's fundamentally what they want. So how do you think the stuff is going to show up in sort of modern media and entertainment? Yeah, I mean, I agree that it will become more entrenched. I was actually surprised there wasn't something at the Oscars this year since it had been at the Globes. And I think like the general public liked it. And I saw the viewer Oscars for the viewer numbers for the Oscars seemed pretty bad.
34:38Peter Kafka:So I'm guessing that they're going to drop every year because the Oscars are less interesting. Yeah. Bring back the slap. Um, but yeah, I think we're going to continue seeing this. I mean, if I was a media executive, which I'm not for like a million reasons, um, as putting aside all of like the moral issues about these platforms, I would certainly be looking at how to get in on the action. because this is, you know, the media has been in like a prolonged existential crisis and it's not getting out of it anytime soon. And we're facing Google zero and, you know, not everyone can have Wordle. So someone's going to be looking for ways to incorporate these more than just as a ticker.
35:24There was a Verge piece that came out recently about how an independent journalist had been propositioned by one of the...
35:33Peter Kafka:Rick Ellis. And said no, but he had been asked to write content that incorporated information about the markets. I think someone's probably going to take that deal. And also, I really would not be surprised if we didn't. I don't want to speak this into existence, but I just think it's coming. that there will be some sort of platform where like in addition to comments, the readers can purchase a yes or no market on like whether something from the story will happen. Like they will be more entrenched in the media moving forward. And I'm also just waiting. I really think it's probably already happened, but there's going to be some sort of horrific scandal involving insider trading and journalists.
36:20I would bet on that because we're just paid too little. Yeah, you led me to where I wanted to end this conversation, sort of the unforeseen and very easy to foresee consequences of this stuff.
36:35Peter Kafka:And it's already we've already crossed into the icky zone a bunch of times. We had that over. There was a big a lot of people were betting on when the head of Iran would be taken out and whether that whether his death qualified as him being taken out or not. There was a story last week about an Israeli journalist who'd reported on bombs falling in Israel and then was harassed by at least one, probably several people who were making a bet on that and wanted him to change his reporting. Given the fact that there seems like we're going to have some kind of prediction market that will be legalized in the U.S.
37:07Peter Kafka:and will certainly operate outside of the U.S., it seems like all of these externalities are going to happen and no one's really going to have responsibility for it. I'm sure Polymarket and Kalshi would say they don't want Israeli journalists to be threatened for making accurate reports about bombs falling in Israel. That said, I don't know what they can do to stop it. Are there any guardrails around any of this? So Kalshi does have narrower set of parameters around like what kind of markets it offers. So it doesn't offer like death or war assassination markets, which like helps, I guess. whereas polymarket i don't think it offers like straight up assassination markets but it does more war themed so the fact that there there's a wider variety of markets from which to choose and then get mad at a journalist about how they reported on it um makes it seem like polymarket probably has more exposure here but then it's also covered like right now because all of that sort of action is happening in its offshore iteration, you know, the question of whether any U.S.
38:18law enforcement agency is actually going to pursue it for anything is an open one because right now it hasn't. So I don't think we're going to see this sort of behavior stop anytime soon unless there is a change in the way that enforcement is approached.
38:38Peter Kafka:And is there any indication, and again, we're talking about Kelsey and Polymark, but in theory, anyone could start one of these things. And people are. There's this huge rush of new ones coming up. I don't know if any of them will. And I'm sure you could have versions of like, you know, you could have Elon, the Grok version of this, where you could make crazy bets that other people won't let you make. Oh, God, don't speak that into existence. It's probably happened already. Do the folks from Polymark and Kelsey talk about responsibility that they themselves have for, again, any of these sort of externalities about people?
39:16Peter Kafka:They can say, look, we don't want you to harass people. And if we find out you have, we'll kick you out. But they're also creating the machine that puts all this in motion. And do they talk about responsibility for any of that? Yeah, I mean, they definitely do. especially Calci is really trying to position itself as like the responsible version of a prediction market. So yes, they're definitely talking about it, but they remind me a lot of, you know, all of these other big tech platforms that talk all day long about responsibility, but then what are they actually going to do? Like the meta case that's on.
39:54Peter Kafka:Well, they also stopped talking about it after the last election too, right? They said, well, Well, that was part of the old days. And now we're now we don't have a trust and safety. And we actually have some of that was happening before the election. But yes, we've seen recently they've sort of jumped on these conversations about responsibility, I think, in response to the growing backlash against how the prediction market industry is currently operating. Like in the past few months, we've really seen this major push to make sure everyone knows that they do have rules and they're not just a Wild West.
40:29And that definitely came in response to a bunch of people calling them the Wild West again and again.
40:37Peter Kafka:In the same way that Facebook used to take out ads saying, we think regulation is good and we would like to be regulated and we call on Washington to regulate us. and they don't take those ads out anymore. But the point is, they were taking out those ads because there was an external push to get them to at least say that they cared about this. Totally, and I bet you could, I mean, if Kalshi's marketing team wanted to save a few bucks, they could just like literally copy paste a few words and send out what it was doing. So you've been on this beat for how long? Since February. So it's very new.
41:10Peter Kafka:It's March. Okay, so you're brand new. What is the craziest prediction market bet that has come in for you? Which one, what's your best bet so far? Oh my gosh. I mean, the whole scandal around all the betters being really, really mad that Kelsey didn't pay out when Khamenei died was wild to watch. I did feel bad. Oh, I meant, have you made a crazy bet yourself? Me? No, no, no, Peter. I cannot participate in these markets anymore. You have to. How else would you understand how they work? I mean, if I know maybe I should ask Condé to do like the McKay Coppins Atlantic piece where they gave him 10K.
41:50Yes, absolutely. Okay. Let me talk to Katie Drummond about that after this. But no, so far I've been like playing it safe. I'm not. I'm just watching. I'm actually really interested. I got to ask my editors, too, like whether we're going to put anything in our employee handbook about whether we can use these markets or not. I know CNN doesn't let its reporters participate in prediction markets anymore. I was on a CNN podcast last week and they told me that. And I was like, I don't know if Conde has that role. But yeah, right now, playing it safe, not participating. But after we get off the phone, I'm going to ask for$10 ,000.
42:34Yeah, go make that call.
42:35Peter Kafka:Exactly. They can still afford it. They still have office. They still have fancy offices. So you lost the Timmy Chalamet bet. Is there anything else? Is there anything you've won on? I'm trying to think. I think I, well, no, I made what I think was a good$1 bet on Joan Cornyn, although we still have to see how that pans out. Definitely lost money in the Super Bowl pregame. Yeah, no, I'm not a good bettor. No, here's the thing. But it is remarkably easy to bet on Kelsey, I will say. You just download it, it goes right to your Apple Pay. And that's the last thing, right, is do you think, and we're just guessing here, we have not seen Apple or Google step in and say, hey, we're a little concerned with legal sports betting happening on our phones.
43:23Peter Kafka:Incredibly easy to do that. I can't imagine they're going to say anything about prediction markets until they're forced to. But any murmurs about them being uneasy, about people using their devices to make these bets? You've just given me a really good story idea. I hope that everyone else is covering this industry. No one will hear this. Not to my knowledge, but I'm definitely going to look into that because I'm sure there are people with feelings. I predict that this story is going to go on for a while and we will talk to you about this again, Kate. So thank you for coming on. So happy to be here.
43:54Peter Kafka:Thanks again to Kate Nibbs. She's excellent. Really glad she came on. Thanks to Charlotte Silver, who is also excellent. She produces and edits the shows. Our advertisers are excellent because they bring this show to you for free. You guys, of course, are excellent as well. We are all excelling in excellence. See you next week.
From the publisher
Prediction markets are suddenly everywhere: in sports, in politics, in the media business — and, depending on who you ask, they’re either a useful forecasting tool or just gambling with better branding. So what changed? And why is the federal government sounding more like a booster than a regulator?
WIRED’s Kate Knibbs joins me to explain why she made prediction markets her beat, how Kalshi and Polymarket went mainstream, why Trump-world is so friendly to them, why some states are trying to stop them, and what happens when more and more of public life gets turned into a bet. We also talk about media companies cutting deals with prediction-market firms, the blurry rules around insider trading, and why this story is really about the casino-fication of everything.
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