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Prediction Markets vs. Gambling: Where’s the Line? | Prof G Markets

Tarek Mansour argues prediction markets can improve forecasts and hedge real risks, but their integrity depends on consumer safeguards and insider-trading rules.

Prof G Markets · Scott Galloway & Ed Elson

The best minutes

  1. 22:00Prediction markets can improve forecasts when trading is informed7 min
  2. 29:55Insider trading can destroy trust even when it improves pricesPro pick 6 min
  3. 35:43Prediction markets can hedge risks insurers struggle to price3 min

Also worth watching

  1. 12:29Kalshi says its fee model avoids sportsbook loss incentives6 min
  2. 41:34Kalshi spent four years getting regulated before launch3 min

Skip the opening ads and London/South by Southwest chat, the sponsor breaks, and the post-interview discussion of speculation and gambling.

Full analysis · 6 min read

Real Alpha · Nov 8

Tarek Mansour says revenue grew closer to 35 to 40X

  • Mansour thought fiscal 2024 to 2025 revenue grew closer to like 35 to 40X, maybe like 60X annualized.
  • Kalshi's exchange model avoids direct customer-loss revenue, but transaction fees still reward trading.
  • Teams assessing it should test forecasts, contract payouts and user safeguards before relying on volume.

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Read the rest of the analysis

7 sections, the 3 other voices it tests Mansour against, and what it means for you. Every episode we cut gets one.

Signed up before? The same buttons sign you in. The episode, its moments and the transcript stay free.

38:41

Reported growth sets a high bar for proof

Ed Elson first cited about 1,000% revenue growth since Mansour's previous interview. Later, Ed asked whether revenue had grown 10X from 2024 to 2025. Mansour said fiscal-year growth was closer to like 35 to 40X. On an annualized basis, he said it was much higher, maybe like 60X.

The first figure was framed as growth since the prior interview. The later answer separated fiscal-year growth from annualized pace.

The hosts also cited a $1 billion raise at an $11 billion valuation. That signals company scale and investor interest, not forecast accuracy, customer protection or hedge quality.

Our read

The growth number is striking, but growth alone does not establish useful forecasts or safe trading.

12:58

Fee economics shift losses but retain volume incentives

Mansour's strongest defense is structural. Kalshi charges transaction fees while traders face one another, unlike a sportsbook whose revenue rises with customer losses.

That distinction matters because the venue does not take the losing side. But a fee on each transaction still gives the company a reason to grow trading activity.

Ed Elson raised this tension directly, asking whether safeguards conflict with a business that benefits when customers trade more. Mansour replied that informed traders help prices improve.

He said Kalshi uses age gates, self-exclusion, limits, pauses, warnings and surveillance. The episode gives no rates of use, enforcement results or loss outcomes for those controls.

Kurt MacAlpine on Founders in October 2026 described advisor incentives that can keep clients from receiving a firm's full benefits. It is a different business, but the comparison reinforces a useful test. Ask what behavior earns revenue, and who benefits from it.

Our read

The exchange structure changes who bears direct trading losses, but it does not remove the reward for more transactions.

24:48

Kalshi's relevance line still depends on judgment

Mansour drew his line around two questions. Does an event matter socially or economically beyond a wager, and does an open exchange let participants set prices?

Take the Super Bowl Gatorade-color market. Mansour said Kalshi does not list it, because he sees little consequence outside the wager.

The host floated a report that nearly 90% of prediction-market volume was sports. Mansour confirmed sports had grown, but did not confirm that share for Kalshi.

For example, he used Brexit as a consequential event because governments, businesses and people care about its odds. That rationale is plausible, but it leaves the relevance threshold to platform judgment.

Our read

The distinction gives Kalshi a rationale for excluding some markets, but the episode supplies no objective relevance threshold.

26:17

Mansour cites forecast comparisons without full tests

Mansour invoked a Federal Reserve paper. He said Kalshi prices beat Fed-funds pricing for Fed decisions and Bloomberg's economist survey for CPI.

He also said markets provide real-time probability distributions. The conversation supplied no paper title, sample, calibration score, error bars or replication details.

So the result remains a testable report, not proof for every contract or horizon. Buyers need to compare actual forecasts against their existing alternatives.

Benn Steil on The Real Eisman Playbook in October 2026 said Fed forecasts have long lagged private-sector forecasters. Steil's point concerns the Fed's own forecasts, not Kalshi's comparison with Bloomberg's survey.

The benchmarks matter. Beating an official rate expectation is not the same as beating private forecasts.

Our read

Prediction prices may add useful information, but buyers need results against credible alternatives before relying on them.

30:41

Insider rules protect trust but leave edge cases

Mansour's case against insider trading centered on trust. He said participants withdraw when they believe a market is rigged, even if the information might improve prices.

He said Kalshi bars trading on material information a person has a legal duty not to disclose. His examples included unreleased BLS or Fed data.

Ed recalled Andrew Ross Sorkin's NBC hypothetical about a halftime dancer who knows what will happen. Mansour said information without a legal nondisclosure duty may be fair game.

He added that if information became too prevalent or deterministic, participants might stop trading. He said Kalshi should not block information that is fair to gather, such as listening near a stadium.

Mansour acknowledged the rules are imperfect and called for more work with regulators. His rules and policing, he said, resembled those in other markets, but he gave no detection process or enforcement results.

“people stop trusting the market”
30:41

Our read

The stated rule covers legally restricted information, but lawful access and detection remain unsettled in the conversation.

36:14

Hurricane contracts make risk transfer tangible, not proven

The most concrete utility case is a hedge, not a forecast feed. Mansour said Florida Keys residents call around hurricane season seeking contracts against storms hitting their city.

He said open bidding can improve terms when insurers and reinsurers withdraw. That is a plausible market function, but not proof of equivalent home insurance.

The episode does not specify contract triggers, payout size, liquidity or how a contract's settlement matches property damage. A buyer would need those details before treating it as cover.

Mansour also described teams hedging performance bonuses, where he said exchange pricing could compete with reinsurers. Those examples identify a buyer's existing exposure and a possible counterparty pool.

But neither example includes realized pricing or payout results. For operations and finance leaders, the test is whether the contract offsets a specific liability at usable cost.

Our read

The examples show a possible use for event contracts, but the episode gives no evidence of realized hedge performance.

43:38

Four years of licensing set posture, not outcome

Mansour said Kalshi spent four years getting regulated before launching a product. He described reporting and oversight as necessary to build a financial-services company.

That history shows a costly early choice, not independent proof of compliance or a settled gambling boundary. The hosts themselves called for clearer lines and protections.

Nik Storonsky on Founders in October 2026 said a banking license was essential for trust and scale at Revolut. The analogy is limited, since banking licensure does not settle event-market classification.

Mansour also said institutional use, international expansion and more categories could support growth. He said perhaps half of 10X growth was within possibility for 2026, not a commitment.

For boards and operators, the next proof points are specific. Track forecast accuracy, matched hedge outcomes and safeguards, rather than volume alone.

“we spent four years getting regulated before we launched a single product.”
43:38

Our read

Kalshi's regulatory history is meaningful evidence of its chosen posture, but it does not prove safeguards work or settle market boundaries.

What it means for you

  1. Backtest market prices. Compare probabilities with outcomes and your current forecasts. Track calibration by event type, horizon and liquidity before relying on a headline price.
  2. Map fee incentives. Ask finance and product to map fee revenue against trade frequency. Review limit, pause and exclusion use alongside repeat trading and losses.
  3. Test hedge fit. For any hurricane hedge, compare the contract's settlement rule with the loss you need covered. Record payout timing, liquidity and residual exposure.
  4. Define insider boundaries. Have counsel write the insider boundary for each market type. Include restricted information, lawful research, escalation routes and who can pause trading.

What to watch

  • Whether Kalshi publishes contract-level forecast performance against named benchmarks and horizons.
  • Whether it reports safeguard use, repeat-trading patterns and outcomes as it expands.
  • Whether Mansour's 2026 possibility of perhaps half of 10X growth is borne out.

Send this to product, risk and finance leaders evaluating event-linked products.

38:41

Watch the minute where Mansour gives the fiscal-year revenue growth figure.

Written by Real Alpha from the episode's transcript and the other moments it links, then checked against the transcript. Quotes are the speaker's exact words.

Minute by minute

  1. 4:28Growth is compounding into the mainstream

    Galloway says Kalshi’s revenue grew about 1,000%, its platform volume rose from $280 million to $2.3 billion, and it raised $1 billion at an $11 billion valuation. Mansour attributes the surge to compounding growth and demand for an alternative to distrusted news sources, arguing that traders’ financial stakes can improve crowd forecasts.

  2. 7:47Scrutiny follows mainstream adoption

    Mansour says consumer companies often face a new wave of scrutiny when they reach the mainstream, and calls public debate about emerging technology healthy. He identifies concerns about gambling, addiction and insider trading as central questions for prediction markets.

  3. 9:56Kalshi emphasizes market structure and safeguards

    Mansour says most trading volume comes from users aged 25 to 45, with another group aged 60-plus, and describes power users who build models around topics they follow. He argues that Kalshi charges a fee rather than profiting from customer losses, and cites education, self-exclusion, limits, pauses, age gates and warnings as safeguards.

  4. 15:57Active trading can support forecast quality

    Galloway argues that transaction fees still reward trading activity, even if Kalshi does not profit when customers lose. Mansour says informed traders, including people modeling weather from satellite data, help improve forecasts; he argues the market needs forecasters, speculators and hedgers, but not excessive behavior.

  5. 18:44Marketplaces differ from house betting

    Galloway cites a report that almost 90% of prediction-market volume is sports-related and asks whether markets such as Gatorade color bets count as gambling. Mansour confirms sports has grown sharply but says Kalshi does not offer that market. He argues that markets should focus on events with wider relevance and distinguishes an open exchange, where participants trade with each other, from a house setting the odds against customers.

  6. 25:37Markets can produce useful public signals

    Mansour says prediction markets can price questions about the future and help people make better decisions. He cites a Fed paper that he says found Kalshi more accurate than Fed funds for forecasting Fed decisions and more accurate than Bloomberg economist surveys for CPI forecasts. He also describes a market on whether the outcome outlined in a Citrini AI paper will happen.

  7. 28:18Insider rules protect market trust

    Galloway doubts that markets vulnerable to insider trading will remain viable on their own. Mansour says unchecked insider trading undermines trust, and that Kalshi bars trading on information a person has a legal duty not to disclose. He says the rules resemble stock-market rules, acknowledges they are not perfect, and argues that information people can legally obtain through research is fair to trade on.

  8. 35:43Prediction markets can hedge real risks

    Mansour says residents of the Florida Keys have asked about contracts to hedge against hurricanes hitting their cities, especially as insurance companies and reinsurers have withdrawn. He says an open exchange can create competitive pricing. He also describes teams hedging performance bonuses and puts the sports insurance market at $9 to $10 billion.

  9. 38:10Growth may broaden beyond retail

    Mansour says Kalshi’s fiscal-year growth from 2024 to 2025 was closer to 35 or 40X, with annualized growth perhaps 60, and says roughly half that pace could be possible in 2026. He points to institutional traction, international expansion and more types of markets, and says 45 percent of men up to age 45 are active prediction-market users, including people who consume markets as an information feed.

  10. 41:44Kalshi chose regulation before launch

    Galloway asks how Kalshi will embrace regulation despite its costs. Mansour says the company spent four years getting regulated before launching a product and that he does not see how to build a financial-services company without proper oversight. He says regulators should monitor money flows and transactions, and that the industry needs to work with policymakers on unresolved questions.

  11. 45:11Hosts want clearer boundaries

    Galloway says he remains conflicted about speculation but sees potential in hurricane-risk hedging and crowdsourced forecasts. He and Elson credit Mansour for choosing regulation. Elson calls for clearer lines between speculation, investing and gambling, and says markets such as betting on a Gatorade color should be regulated and disclosed as gambling.

Published Feb 27, 2026.

Transcript · 42 min read

Prof G Markets, hosted by Scott Galloway and Ed Elson, with Tarek Mansour.

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

  1. bigger than what you have here is a structural change in the world distribution Cash is trash. Stocks look pretty attractive. Something's going to break. Forget about it. How are you, Ed? How are you? I'm doing very well. I'm here in London, and I had drinks with you last night, which was awesome. You know me. I like to get to know my staff. I like to spend quality time with them. We did spend some quality time. We did. We got kicked out after about an hour. The other thing is we went to a bar that we were very excited about, and I show up because scott scott showed up a little late and i shower but it turns out that it's comedy night comedy night and there's some scotsmen on stage speaking a dead language and only twins speak to each other and and they closed the bar down so i'm like oh this fucking sucks so we had to spend the first 20 minutes listening to this guy i gotta tell you he was absolutely bombing as well it was not comfortable to sit through yeah but then we had a lovely drink i got to know your girlfriend i just sat there and thought, what is she seeing in him? I don't get it. I don't get it. I don't get it. Ed, I don't think young people should get married, but my advice to you is three things.

  2. First, lock. Second, it. Third, down. Lock it down. It is, I think the world of you, you are so out of your way class, my brother. You are so out of your way class. Anyways, It's good to see you. That's very nice. It was great to see you. She had a great time. I had a great time. It's good to be in London. It's nice, right? Yeah, it is very nice. It's too dark and it's a little late, but it's nice. Well, we have a big, important interview here with the CEO of Kalshi. Shall we start to move on to that? Let's do it. Okay. Actually, before we do that, apologies. Let's not. I forgot to also say that Prof G Markets is returning to the Vox Media podcast stage at South by Southwest. We will be there on Saturday, March 14th. So if you want to see that, come join Scott and me at 10 a.m. on the 14th of March at the Hilton Austin for a live taping of Prof G Markets. Live show. It's going to be epic. Scott and I, very excited. Or at least I am. I think scott's excited you had me till you said hilton austin i don't that's not what i aspire to but you know what's going to happen here it's the same thing we come in we skirt the line and a few people take a picture with me and they're like like oh they're like

  3. Oh, and by the way, I have a daughter. She's at UT. Is Ed single? Is Ed single? Everyone is asking about your romantic status when we go to these things. That's not what happened last night where we're standing together and then someone comes up and goes, oh my gosh, Scott Galloway. And he looks at me and he's like, I know you too, but Scott Galloway, it's great to see you. The tall, handsome guy? That's right. He is a tall drink of lemonade, like a nice, young, handsome man. Yeah, yes, I enjoyed that. I enjoyed meeting him. Yeah, it was good. It was very good. Yeah, but South by Southwest, and you can learn more and get a special discount.

Read the whole transcript
  1. I love how they're already discounting us. That makes me feel good. On your South by Innovation badge at voxmedia.com slash SXSW. That's voxmedia.com slash SXSW. We'll see you there. I'm actually really excited. How many people from Prov G are we bringing to Austin, Ed? We've got a huge crew. I think it's like 12 people, maybe. I heard 16. I wonder how much money that's going to cost me. Oh my gosh. I'm excited. Anyways, everybody, Ed and Scott are going to be at South by Southwest. Please say hi. We enjoy, we really do enjoy meeting our fans. And Ed, not so much. Ed's sort of standoffish and a little bit arrogant, thinks he's better than everybody else. But not me. Not me. Not me.

  2. Say hi. Hola. Hola, el perro y el absorbo de self, young person, young man. See you at South by Southwest. No comment. Here's our conversation with Tarek Mansour, co-founder and CEO of Kalshi. Tarek, good to see you. Welcome back to the show. Thanks for having me, Scott and Ed. I'm excited. so it's been a little over a year since i first interviewed you on first-time founders a lot has happened since then just looking at calci as a company your revenue has grown by about 1000 percent uh your volume on this platform has gone from 280 million dollars to 2.3 billion dollars you also uh recently raised a billion dollars at an 11 billion dollar valuation basically we knew calci was going to explode but it's exploded in a way that is kind of uh larger than life and getting a lot of attention.

  3. I'll just start with this. Why is Kalshi so popular right now? And why are prediction markets so popular? You know, one, it's just the exponential. You know, when, you know, the numbers are small, the exponential, you don't really feel it quite as much. And then as you compound and compound, all of a sudden, you know, everything basically happens all at once. And you tend to see that with sort of, with a lot of consumer businesses that really hit the mainstream. and they're growing at a, I mean, at an exponential or exponential looking pace. And I think that's definitely happening in prediction markets, or at least in the case of Kalshi.

  4. The second thing where I think we're benefiting quite, you know, I think that prediction markets are benefiting from an overall societal wave, which is sort of this general distrust in traditional news sources or information sources. And I think people are looking for an alternative. And, you know, I think they found it a lot, you know, a lot of people have found in podcasts, I don't think a lot of people have fun in social media. I think people have, I mean, social media had this kind of idea of, you know, crowdsourced wisdom or crowdsourced truth, but social media incentivized clickbaits in a way that, you know, people over time are not feeling like, you know, news feeds are basically like split into two.

  5. the world is basically completely dispersed. Everything is polarized. And prediction markets are in some ways some sort of antidote where you get the crowd wisdom. You have a lot of people participating in prediction markets, but you have skin in the game. People are putting money where their mouth is, and that leads to some of the answers that get out of prediction markets to be more accurate. And that's been definitely a big catalyst of the growth. There are two things I'd want to kind of separate in this conversation. One is prediction markets as a content platform, which i totally agree with you on it's been massively helpful for us i think a lot of people find it interesting because it just tells you a little bit more about the future if you're trying to understand an issue you will go to the prediction markets and you'll find the question and then you'll get to see like this is what the consensus view is this is a probability of this event occurring or not occurring that's content it's also a trading platform some would say a gambling platform, which is a different kind of thing. And it brings with it a lot of different issues. And I think as this platform has gotten so popular over the past year, it has also drawn

  6. a lot of criticism. And I think a lot of that criticism is reasonable. valid worth talking about so i guess i'd love for us to dive into those criticisms um as as the founder of this company as the ceo what would you what would you say is the the overall um let's say the the three or four biggest criticisms of the company right now uh based on what you're seeing based on how it's things are being reported what would you say are the issues that people are worried about when it comes to prediction markets and Kalshi? Any consumer company, and this is one of the things that we've learned and I'm learning in real time right now, most consumer companies that hit the mainstream, they go from like really exciting new technology.

  7. And when they hit the mainstream, there's a sort of flip where all of a sudden, you know, there is this sort of like, let's just kind of air out all the risks, the dangers, all the ways that this could go wrong. You know, I think we've seen it play out with Uber. Airbnb had its fair share of it. We're seeing it play out with AI on many dimensions, many levels. And we're seeing it play out in prediction markets. And to some extent, I think that's a healthy thing. Like I think society having a debate about new technologies and how to kind of deal with them is a good thing, right? If we all agreed on everything, you know, we probably are headed in the wrong direction.

  8. Look, my understanding is like, there's one, you know, this question of like, you know, is this gambling? is this different? You know, are there kind of concerns about addiction and socialist isolation? I know you guys, Scott, you talk about this a lot. I think number two is there's the concerns of insider trading. And to me, I bucket it into kind of, is the market fair? How do we police it? What is being done about that? But to me, I don't think it's totally, totally abnormal given, you know, the rate of growth and how fast this basically has gone mainstream. Well, just to double click on that so there's a real fear that a lot of big tech or a lot of technology companies as they scale tap into a less mature prefrontal cortex of men looking for dopa hits and that essentially prediction markets are sort of the high iq or graduate education version of gaming apps and that it preys on a dopa hungry male and that there's enormous incentive for uh well first let me start there who who is your typical what's the demographic profile of your average customer and what is what is different from uh Speculation or prediction markets from just flat-out gambling sites.

  9. You know, the vast majority of volume is really in the bucket of 25 to 45 years old. And then we have a bucket and, you know, 60 plus. So retired has sort of disposable income time on their hand. And I think that, like, you know, when I think about the typical customer, there's been recent reporting, which I think was pretty interesting about this. You might have, I don't know if you've seen the New York Times article about the rise of the prediction market trader. and they kind of gone through a number of, you know, and the most active traders, the people that basically, you know, drive a lot of the activity on the platform, you know, people that you'd kind of considered like a super user or power user.

  10. Those are the people that like are spending quite a bit of time modeling. Like, you know, I'm passionate about the economy. I read the news a lot. And like, you know, I'm going to basically be forecasting inflation on a daily basis. Or I like mentioned markets. You know, Joel, there was a whole profile on him on this New York Times piece. And the guy has built pretty sophisticated models of what words are going to be said and what appearances. And those are people that have had an interest in something and then they figure out an outlet to basically make money off of it or engage with a community that has kind of that shared similar interest.

  11. Like these are the most engaged in our Discord or we have this Kalshi Idea platform, which is basically Twitter, but you can only speak if you have a position. So it's kind of a Twitter that's filtered for people that are position takers. But to me, it's like, you know, I think the concern that you sort of outlined is a real concern, right? Like I think, in my view, any financial markets, and I think this concern applies to any financial market. I think it applies to, you know, day trading of options or this kind of idea of zero DT options that settle on any given day. Retail trading, I think it applies to crypto, also the meme coins.

  12. And obviously it applies to traditional gambling and sports betting. And that risk exists in prediction markets. And I think the way that I think of it and as I build a company and as this company scales, there are certain things that are intrinsic to the model and then there's guardrails, like things that you add to the model around your business model to basically protect consumers from this sort of thing. So let's talk about the intrinsic piece. So I think prediction markets

  13. Tarek Mansour · 6 min

    “Like when you go to a casino or you go to, you know, a traditional sports book, the revenue of that company is equal to the customer's losses.”

  14. send it to a friend and please follow us if you haven't already. We're back with Profty Markets. I just want to go back to some of the criticisms. And by the way, the reason I'm interested in this is because this is what everyone is interested in when it comes to prediction markets right now. And I was just on a PBS panel where, you know, this was the entire conversation. There was a focus on young men and young men's issues, this prevalence of addiction and this trend towards gambling.

  15. And this question of do prediction markets sort of fit that description? And so what are we supposed to do about it? How are we supposed to feel about them? So one thing that I found interesting, and I want to get your reaction to, I read somewhere that almost 90% of the volume that is happening on these prediction markets, and I think on Kalshi, is related to sports. so it's prediction markets trading but if it's trading based on like what color is the gatorade going to be at the super bowl halftime show that to me fits the bill of gambling it's to me is a kind of a different thing from the looking at satellite data and figuring out how will this affect weather patterns so i guess my question is one is that right are you seeing that amount of sports prediction markets trading?

  16. And two, does that not fit your definition of gambling? So we're seeing a lot of sports. Sports has grown astronomically last year. We don't have the Gatorade market. Again, there's unregulated regulated. But we don't have the war, terrorism, assassination markets either. You know, the insider trading is also not, you know, the Maduro trade And, you know, the capture that's not regulated prediction markets or Calsi. But look, I think there is sort of definitional, like, okay, maybe like, let me just kind of, let me just, let's just align on some definitions so we can have like a precise conversation, right?

  17. When someone is buying an option that expires end of day, retail participants buying it against Citadel and the open market on, you know, traditional, you know, the most boring names like NASDAQ or Chicago Board of whatever. do you consider that to be gambling or a form of gambling? I think it's something different from investing. And so I would consider it, I would call it gambling, yes. And that is why I'm very interested in the regulatory rules around options trading, which are stricter than buying a stock, for example. So long answer, short answer, yes. So let's just establish a definition and then we can basically have a principal conversation here.

  18. So there's a few definitions we can basically take on, right? It's like one definition could be there's a threshold of research or understanding in a certain market that needs to happen for this to be a trade or not gambling. And obviously, you'd see kind of the problems with that definition from a delineation perspective, because how do you know who does research and you get into anti-state questions and like now you have access, you know, open access problems, etc. One other one that I believe to be too broad is one that a lot of states in their state rule books hold, which is like you're staking some money in the hope of making more money on something you don't control.

  19. that's one you know now you could see where that lands right you know if you and i just leave this call and open schwab and buy stock even if we're investing that stock that's gambling right like we just gambled so so what is the line like i mean how do we define that line and and you know uh i'll tell you how we do it but i but it's actually kind of grounded with how historically the lanes and the regular like the regulations have basically landed on this piece which is one

  20. Tarek Mansour · 7 min

    “it's more accurate than Fed funds for forecasting Fed decisions. It's more accurate than any other like survey”

  21. When I think about potential for insider trading, which has gotten a lot of reporting, I think eventually that'll be starched out when people realize that you never want to bet against someone who has more information. so i see that probably going away organically why would you say that this already happens i mean insider trading is rampant across many markets including the stock market the way we prevent it is through regulating it and making it stop it doesn't organically stop itself if i'm betting on the speed of a baseball pitch and i realize i i don't know but someone in the audience may be giving hand signals to somebody or it comes out that this is highly susceptible to insider trading i think fewer and fewer people are going to bet on those things that don't have access. My friend Todd Benson once said to one of my classes at CERN, never bet on anything where there's, if you can, where you believe there's people who may have much greater information than you. I think a lot of the

  22. most ripe for insider trading markets are just going to, quite frankly, die a slow death because people are going to realize they're maybe betting against people who... I don't understand why anyone would bet on, I forget what you call them, markets, where someone's saying something on a TV show that's already been pre-recorded, unless you are engaging in insider trading. Because it's fun. Well, then it's consumption. It's not gambling. And you better make sure you're having a lot of fun, because it means someone with a lot more information is betting against you. You're on the wrong side of that trade. Anyways, Tarek, what would you say?

  23. Tarek Mansour · 6 min

    “if you let insider trading kind of go loose people stop trusting the market”

  24. That's like doing research outside of Walmart. It seems to me, my mind starts spinning around the different types of synthetic applications of this or different things you could use prediction markets for,

  25. Tarek Mansour · 3 min

    “They're buying a hedge against hurricanes hitting their city. And it's super interesting because historically”

  26. fam we're back with property markets my understanding is that uh your revenue 10x'd in 25 relative to 24. Are you assuming that same level or ballpark of growth in 26? 24 to 25, just to kind of talk about the number, I think we grew, it was closer to like 35, 40X, 24 to 25. And this is like on an FY basis, on an annualized basis, much more. It was maybe like 60. I think we could do, I don't know if 10X, but maybe half of that is I think within the realm of possibility for this year.

  27. it is pretty mainstream now right like it is very very mainstream i think like the so obviously as you get more in the stream the growth you know at some point i mean you know 45 percent of of people to up to the age of 45 of men up to the age of 45 are like basically active users of prediction markets now like like some part of them are trading pretty actively and the other part is like consuming consuming it as an information feed as a news feed to the use next to x and other places like that's a pretty large number right you're starting to kind of like flirt with i wouldn't say you're flirting with the boundaries but you're starting you know you start decelerating as you kind of get closer to the boundaries of the time um but yeah i think it's possible i mean I think, you know, we're growing it. The institutional business is starting to pick up traction. I think going international is exciting. Diversifying into more marketplace, markets, types of markets, and there's a lot of categories that are growing. So, you know, I think there's a lot to be excited about for 2026.

  28. Tarek, I've grilled you a good amount in this episode. I think, as we just close here, I would separate two things, as I said at the beginning. On the content, Calci and prediction markets as a content machine, as an information machine, I don't think it can be disputed. Everyone is looking at this stuff. Everyone is interested in this stuff. This is, by the way, one of the great things about markets in general. This is kind of why I love markets. It has this really awesome thing, which is that it tells you a lot about the world. You can look at a chart and you can understand things. It tells you about the future.

  29. This is the great thing. It's even a great thing about options trading as well. Options trading also is an interesting and helpful information machine, content machine. At the same time, I am personally someone who thinks that the act of trading options is not a good or wise investment decision most of the time. I would grant you that there are a lot of people who make a lot of money who ultimately are doing well. But ultimately, something I wouldn't recommend, I don't think it's great. Now, the law generally agrees, for the most part, which I think is why we have these stringent laws on things like gambling, on things like options trading, where we say, you're only allowed to do it if you prove this, this, and this.

  30. You're only allowed to do it if there's sufficient education. That's not true for gambling. Or for gambling, it would be, we need to express to you, and I mean, if you're advertising as a gambler, you need to say, you need to gamble responsibly. We kind of recognize that that is built in. You need regulation. Which brings me to, I view Calci as kind of the only platform

  31. Tarek Mansour · 3 min

    “So we spent four years getting regulated before we launched a single product.”

  32. Tarek, thank you very much. Appreciate your time. Thanks, Tarek. Thanks for having me. what'd you think again what did you think can i throw it back to you uh well you know me i don't i'm pretty quiet i don't like to share my viewpoint um just sort of reserved um i think they're trying to be the clean well-lit corner of this environment on. I mean, I struggle with the concept as a whole and the tension between you can't infantilize young people. Paul Tudor Jones, one of the great investors, will say that 80% of the stock market is speculation. That if you look at there's $3 trillion in transactions, it's like $300 billion of secondaries and equity offerings, true financing. So technically 90% of it is not investing. It's me betting against you that the stock's going to go up or down and you're taking the other side of that trade. So this isn't much different. But at the same time, it does feel like it has more of a gambling feel to it. So I don't have moral clarity around that. What I am absolutely

  33. fascinated by is the opportunity for... So I am a resident of Florida. Basically, Floridians are struggling with they can't get insurance. And it's not only you have to go naked in terms of risk, If you have a mortgage, a lot of, because the mortgage industry is in bed with the insurance industry, in order to get a mortgage, you have to show proof of insurance. And now homeowners in Florida can't get insurance. So is there some sort of synthetic where they basically, every time, you know, Hurricane Claudia pops up, they basically agree to buy or bet for you that this will hit. And if it hits, you get a bunch of money to cover your, you know, damage.

  34. I just think there's so many opportunities here. As you know, we are constantly using this information because as it ends up, the wisdom of crowds really is wise that this might put pollsters and investment banking. analysts out of business because the guy covering Apple for J.P. Morgan, J.P. Morgan wants Apple's next debt offering and is always going to exaggerate the upside or have a bias towards the upside. There's nothing to get to how you really feel about something when you ask people to put their money behind it. I hope that he does appear to be sincere about not embracing regulation, but at least being relative to his peers, he gets credit for embracing regulation as opposed to trying to skirt around it. So I think he gets some credit there. It'd be interesting to see if he, I thought it was 10X, he said 40 to 60X. Obviously, 26 is going to be a pivotal year for him. Anyways, my thoughts. What are your thoughts? I think you have to give him credit for wanting to comply with regulation. I think there are so many of these companies that the idea is Let's just skirt around as many rules as possible to make as much money as we can.

  35. That's not the route that he is taking. I do think he needs to get more clear on what are the lines that you're drawing here. What are the lines between speculation versus investing? What are the lines between speculation and gambling? These are hard lines to draw. It's not very clear. As you say, options trading, you can make the argument that the entire stock market, or at least 90% of the stock market, if you're not directly participating in the fundraising and investing in an actual company, if you're just trading the stocks around, maybe that's speculation, maybe that's gambling. I think it's a harder argument to make.

  36. But the point being, there needs to be a lot of clarity on what are the definitions between these different things. Because what I can tell you is that betting on, say, the color of the Gatorade is flat-out gambling and there is no real benefit to society other than it's fun and it's a form of consumption. And if that is the case, and if that is happening on the platform, he says they didn't do that, do the Gatorade on the platform, but maybe there are some others. If that is the case, you got to regulate it like it's gambling. You got to have disclosures. If you're going to advertise, you need to say, gamble responsibly, trade responsibly.

  37. The same way that we have real robust regulations around any other addictive product, around cigarettes, around drinking. I mean, the rules are there in place because bad things can happen. And so, what I would love... for Tarek, and I think he's doing this better than anyone else in this industry, which is happening. Sorry, it's happening, whether you like it or not. He is embracing that more than the others are. And I think that is going to be crucial to minimizing the very real potential for downside risk here when it comes to speculation, addiction, and gambling. Because unfortunately, that is happening on these platforms so now it's on regulators to figure out how to make sure this Prof G Markets from Prof G Media. If you liked what you heard, give us a follow and join us for

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