In short
Podcast Episode Summary: No Priors - Forecasting the Future with Kalshi
Episode Overview
- Title: Forecasting the Future with Kalshi: America’s First Regulated Prediction Market
- Guests: Tarek Mansour, CEO of Kalshi
- Hosts: Sarah Guo and Elad Gil
- Date: [Episode Date]
- Description: This episode dives into the world of prediction markets with Tarek Mansour, CEO of Kalshi. The discussion focuses on the ethical implications of election betting, the differences between prediction markets and traditional polling, and Kalshi's unique position in the financial ecosystem.
Key Points Discussed
Introduction to Kalshi
- What is Kalshi: A prediction market exchange regulated by the CFTC, allowing users to bet on the occurrence of future events (e.g., elections, weather).
Live Election Bet
- Sarah Guo makes a live bet on Kalshi regarding the upcoming election, demonstrating the platform's functionality and user experience.
Regulation and Legalization
- CFTC Approval: Kalshi spent years navigating legal challenges to get approval from the CFTC for trading political events, ultimately becoming the first regulated platform for election betting in the U.S.
- Challenges: Discussion of the difficulties faced while lobbying against the CFTC to legalize trading on political events.
Ethical Considerations
- Debate on Election Betting:
- Concerns regarding whether prediction markets can undermine democracy.
- The difference between trading as a financial instrument versus gambling.
Futures Markets
Purpose and Context
- Historical Context: Insights into the origins and purposes of futures markets, emphasizing their role in hedging and risk management.
- Human Psychology: Discussion on how human behavior is conditioned towards risk-taking and speculation.
Prediction Markets vs. Polls
- Accuracy: Exploring whether prediction markets can offer more accuracy than traditional polling methods.
- Misinterpretation of Data: Highlighting common misconceptions about the data provided by prediction markets versus polling data.
Conditional Markets
- Tarek discusses the potential for conditional markets that allow users to trade based on specific outcomes or events, enhancing the platform's capacity for nuanced forecasting.
Market Design and Liquidity
- Building a Healthy Exchange: Challenges in scaling liquidity and the importance of attracting both retail and institutional investors.
- Future Plans: Potential avenues for introducing leverage and expanding market offerings.
Insights and Predictions
- Tarek shares insights into the most engaging trades on Kalshi, emphasizing the idea that markets reflect collective intelligence and real-time sentiment.
Closing Remarks
- The episode concludes with a reflection on the significance of prediction markets in today's financial landscape, especially with their capacity to provide informed forecasts and insights into various events.
Key Takeaways
- Prediction Markets vs. Polling: Prediction markets may provide a more dynamic and real-time reflection of public sentiment compared to traditional polls.
- Regulatory Importance: The legitimacy of prediction markets is enhanced through regulation, which helps to build trust and encourage participation.
- Human Behavior and Risk: Humans have an innate propensity for risk-taking, which is reflected in their participation in markets and speculative activities.
- Future of Kalshi: The platform's innovative approach to prediction markets positions it as a significant player in financial forecasting.
Additional Resources
- Follow the Podcast:
- Twitter: [@NoPriorsPod](https://twitter.com/NoPriorsPod)
- Subscribe on platforms like Apple Podcasts and Spotify for weekly episodes.
- Feedback and Inquiries: Email feedback to [show@no-priors.com](mailto:show@no-priors.com).
This summary encapsulates the details and discussions from the episode, providing a comprehensive overview that enables readers to grasp the key insights shared by Tarek Mansour and the implications for the future of prediction markets.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:05Hi, listeners, and welcome back to KnowPriors. Today, I'll be talking with Tarek Mansour, co-founder and CEO of Kalshi. Kalshi is a recently CFTC regulated prediction market exchange that's changing how people forecast future events, like the upcoming U.S. election, the weather, the date of arrival of AGI, and the jobs report. Tarek started Kalshi after studying at MIT and working at Citadel and Palantir. We'll discuss what a prediction market is if it's a threat to democracy, building a regulated exchange and how CalShe fits into the broader financial ecosystem. Welcome, Tarek. Great seeing you, Sarah.
0:41Thanks for having me. This is going to be a super exciting small number of weeks before the election. Can you please explain to anybody who hasn't been on it yet, what is CalShe? CalShe is actually the first legal platform in the U.S. where you can basically bet yes, no on any future questions. The thing that's really cool is like we've basically created a financial instrument where the thing that you're actually buying or selling or trading or betting on. It's not a stock. It's not a bond. It's not a commodity like oil. It's something more intangible. It's actually whether an event is going to happen or not.
1:09So on CalShea, you can basically buy shares of whether it's going to rain tomorrow, whether TikTok is going to get banned, whether Eric Adams is going to get fired as New York mayor, or whether Donald Trump is going to win the next election. Okay, cool. I feel like the easiest way to get a sense is like, let's make a trade. I'm going to share my screen. Okay, here I am. You got CalShea? Yes, it's calshea.com slash elections. This is actually our live election forecast page. You can see that Trump is up 55.45 right now and 19 days left. So we'll see how that evolves. You can go. Yeah, I think you're clicking.
1:44So this is the election market. I'm actually going to let you figure it out. No, no, no. I understand here. I think, you know, Trump at 55%. That feels underpriced to me. Let's go in on it. $267. Oh, I got, I have 150 in cash. I'm going to go all in on this. It feels like a trade I want to make.
2:11Let's see what happens. Market closes when the outcome occurs. Two hours after closing. I'm ready.
2:22Did that just happen? Yeah, it's done. Oh, wow. Okay. Wow. You're to bankrupt me this is too easy yeah i mean it's pretty cool right so i think like the cool thing about this is like you can actually also sell it before so if you click on donald trump right now you can see your position um or on the yeah right here and then you can see your position and you can actually exit it if you want to so you can sell at 55 if you want to you should now but uh so right now obviously if you sold it directly you'd just be paying paying the spread paying the bid ask but if things move if he if his odds go up in a i don't know in a few days or tomorrow or whatever, you can sell it at a profit.
2:58The other thing that's actually really cool, and we launched this just now, is now you have a bet on Trump. You also only get paid interest on that bet. So it gets deposited in money markets and you have treasuries and you get paid 4.1 % interest while sitting there waiting. And so it's cool because usually people say like, hey, these are kind of zero sum type things like you either win or lose. Whereas in here, like whether you win or lose, you're getting paid interest while waiting. Excellent. Excellent. I will go deposit more of, you know, my total wealth given money market accounts now. You recently were involved with a long term kerfuffle with the CFTC to get regulated trades on political events.
3:44So you've been at this for, I think, six years as a company? Yeah, five and a bit. Yeah. Five and a bit. OK. Okay. It's a totally insane thing to try as a startup to go up against the CFTC. Can you talk about that? We hold two core beliefs. I think one, prediction markets have the potential to be the next large thing in financial markets. I do genuinely think that like, you think about it from first principles, like people like to take exposure on things. They like to speculate. Sometimes they want to hedge. Or it could be either betting or hedging. But it feels like the current instruments are a bit like, you know, you have things like, okay, you have stocks, that's fine.
4:23But you also have like options and futures. They're all just so loaded. It's like so Wall Street-y and like people don't really care. But if you think about like prediction markets, what they do is like they achieve a similar sort of like urge or I think they're targeting a similar market. But instead of like these kind of traditional boring financial instruments, you're taking positions on things you care about. Like I have a view on the weather. I have a view on climate. I have a view on AI, which a lot of people have a view on now. And then you can basically take a stake in that. So I think that one, they're going to be very big.
4:53I think so. And then two, I have yet to see a financial market that has gone really big without being properly regulated. I have yet to see that in history. It's always like you have to do it legally, safe, compliant. So our core approach from the start is like legal and safe and compliant and trusted first. A bit like Coinbase, how Coinbase approached crypto. And I've always liked their approach. And so before we launched anything, we spent actually close to three years getting regulated up front by the CFTC. So we've written a lot of the regs. We actually spent literally 14, 16 hours a day for a year and a half doing nothing else other than writing law and regulations for how prediction markets could be regulated in the US.
5:29And we got it done with the CFTC and we got approved. So we were the first actually market in history that actually could do prediction markets legally in the US. So that was one, step one. The thing that we fought over is that after we got approved, the one thing that they didn't want us to do is the U.S. election. There's just so much taboo. I don't know how to explain it. It's like a part of it is Congress. There's a there's a vocal minority in Congress that just hates them. And maybe we can talk about this in a bit. They believe that they're going to break democracy and this is gambling. I obviously totally disagree with that.
5:59But it was funny because, you know, our board at first was like, well, this sounds like a horrible idea. Like when we when Juan and I brought it up to Alfred and from Sequoia and NYC, we're like, hey, we're going to sue the government, a regulator. And they're like, it's never a good idea. It's just a bad pattern. But we took the risk. And it was brutal. It was really brutal. Like going up against the federal government is super tough because it's like the plane, the balance of field is so tilted. The standard to win for you is so much higher than the standard to win for the government. But we won.
6:33And winning felt pretty good. I think the win was worth all the years of pain. And I think maybe this is how it is for, I think, any entrepreneurial journey. It's like you go through all the pain for so long, you have to endure. And then the ups, the highs are so high that it makes it all worth it. So we won this month. And the cool thing now is like it's the first time in 100 years that betting on the election, trading on the election is actually legal in the US. It's finally back to actually being legal. And this time it's actually regulated. And we're the only ones that can run it. So you just, I think, like seeded a whole bunch of threads that we should talk about.
7:09Like, what is, maybe we'll start with one that I think is important. What is the argument against trades on elections? Like, what is the sort of ruining democracy concern? It's two arguments. One, you know, there's a question like, is this gambling? And then the second one is, could they ruin the perception of elections? Is there reflexivity in this? Exactly, exactly. Reflexivity. I think that's the right term. Like could some weird thing go in a loop? And so let me address one by one. So I think the gambling piece is super interesting. I love history and I really love financial history. Like when I got into the business, one of the big reasons, like I loved sort of how did we come up with all these instruments?
7:48I worked at Goldman so that I have you ever been to a Goldman Sachs trading floor or any trading? I used to work at Goldman. So, yes. Oh, great. So, I mean, you see like it is so weird. Like you have like hundreds of traders sitting behind laptops trading things like options and swaps. And the question that always come to mind, like, how do we get here? Like, it's insane. But the thing that's interesting is most financial instruments, really the vast majority, in the early days, they were called gambling. Like, that was the consistent thing against it. It's like a form of speculation on gambling and that's bad for society.
8:19And the example I love to quote when it comes to the gambling piece is like, so in 1905, when Grain Futures got legalized in the US, it was a Supreme court decision. And grain futures now, we think of it as like the most boring, like financial, like, you know, hedging farmers, like, you know, but at a time they actually would call it gambling. This new asset that people were like, hey, a lot of people are speculating, so it shouldn't be allowed. And then the court decided like, no, fine, some speculation is happening. Like it does happen in the stock market, but that doesn't mean these markets are not important.
8:46And I think it's the same thing here. It's like, it's crazy to me to think that like taking a stake, a position in the election is the same thing as like betting on the dice roll. Like that doesn't make any sense to me. Elections are real, that people have economic consequences coming out of the elections and people may want to hedge it or people may want to, even the forecast is important enough for these markets to exist. I think actually it's like worth contextualizing a little bit, like why futures exist to begin with. Yeah. Right. You mentioned like hedging, but just to sort of complete the basic story there, like going all the way back to like Japan, And Dojima Rice Exchange, like the original function of futures markets, as I understand them, was like for farmers to hedge price changes.
9:29Right. You know, even before 1905 U.S. green futures. And so smoothing out or allowing people who have real economic stake in something to protect themselves was the original premise. What is the difference between like gambling and trading? So I guess let's differentiate between two things. There's a stock market and the function, why it exists. And by the way, a lot of people, you know, I mean, I don't want to make this political, but I have to because my business has been pretty political. But like those are the ones of the world where even the stock market has a lot of speculation and we should limit it in a variety of different ways.
10:01That would be, that's a horrible idea. We should not do that. But the reason it exists is capital allocation, right? You're moving capital from people that have it to people that need it, very simply. And that makes it worthwhile to exist. And that's why hedge funds exist. And that's why all these, you know, we have Wall Street. The futures market, the derivatives market, where it's a bit different. It's not capital allocation, it's risk transfer. And I love that notion. I love that notion so much. It's like, it's even more neat. It's like you're transferring risk from people that like have it, but cannot bear it to people that don't have it, but can bear it.
10:33They want to diversify, they want to buy it, et cetera. And this applies to the example of grain futures or rice futures or pork belly futures, the kind of really old school stuff. And the interesting thing in these markets, like farmers are hedging, like you said, their ability to hedge allows them to have more forecastability. Like, hey, I'm planting a batch now. What price am I going to be able to sell it at in the fall? It makes it a higher quality business to have that forecastability too. Without it, you have too much unpredictability. And what happens with unpredictability is you have less of these businesses.
11:03It becomes a harder business to run, so you get lower supply of grain. So, you know, we just actually established that no grain futures today would have resulted in higher prices for bread. That sounds like a horrible thing for society, actually. It's a good thing that we have them. Now, that is different from gambling, right? Like grain prices or hurricanes or Brexit happening or not or election Trump versus Kamala winning, that's a risk that exists already, right? Like it's not like you and I are creating this risk so that we can bet on it. This exists already. And some people, like if you run a climate tech company, you're obviously better off if Kamala wins than if Trump wins.
11:41If you run a crypto company, you're better off if Trump wins than Kamala. You have a real tangible binary risk that you may want to insure against. That's very different from you and I going and doing a roulette spin so that we can spec it. That is an activity that's recreational. That I don't have strong views on gambling or not. I think people should be able to do whatever they want with their money. But that's different. That does not have benefit for society that go beyond just having fun. Right. And so, yes, I think hedging is a core pillar. But then there's actually another thing that people don't talk about.
12:09It's called price basing in these markets, which is it gives you an indication of price. Right. Like farmers without a futures market have no idea what this thing is going to sell for in the fall. The futures market actually gives them an indication of what it's going to sell for. And I think the prediction markets take it a step further. It's actually the price is equal to probability. It's even cleaner. It's like, who's going to win? Right now it's saying 55 % Trump. Is TikTok going to get banned? I think I forgot right now. I think by May it's like 35%. It doesn't look like it's going to happen.
12:37And like you're pricing the future. And I think that's another really neat concept because if you price the future, then you can, you're smarter, right? Like you can make better decisions about what's going to happen. If you're a TikTok creator, now you're not going to, you know, whether the likelihood of TikTok getting banned is a life or death situation for your business, basically. They are related. Yeah. Right. I mean, I have graduated from poker to informed investing. There is speculation in all markets. That's a fact. Right. And speculation is like you bring some money to make more money and, you know, it's something you don't really control.
13:13Without it, you don't get a liquid market. Right. If people don't have that, they're not doing that. You don't the market is not going to have any activity. It's impossible. And so there's been a kind of rule of markets like you have to have speculation. You have to have some of the de-gens. You have to have some of the informed. You have to have a little bit of everything to have a vibrant marketplace. People love to speculate. So we started different forms of speculation slash betting slash gambling before we even could write. Most people don't know this. We actually used to play games. Like we used to do it with rocks, like, and then, you know, people get a reward if the rock comes your side and you pay something if it doesn't.
13:49And that was before we had actually like a language. It's probably something related to evolutionary psychology. It's interesting because when you confine it to the, okay, I'm placing a bet on Trump or I'm placing, you know, I'm betting on something specific, you know, sure, you kind of, we grasp as like, this is people betting on something. But I think like if you broaden a bit more to life, like we are constantly making decisions where we're risk adjusting. We're taking risks, sometimes not taking the risk is another form of risk. Like life is risky. You walk outside, you might get hit by a bus.
14:19You're taking a risk by walking outside every single day. I believe we have been conditioned to risk taking. Humans are conditioned to risk taking. You know this thing that Nassim Taleb talks about when you're evaluating risks, like your grandma is better than most data scientists. Have you ever? No, no, no. Explain. So basically, there's this whole thing in like measuring risk where unless you're talking to like a PhD or a research lab that's extremely specialized in a very specific form of risk. Asking your grandma is actually a better rule of thumb than actually doing any data analysis. Like COVID was a typical, like you had a bunch of people, you know, like, you know, the midwit meme, like they did a bunch of analysis like, hey, COVID and it's probably the view dying is lower than a bus and whatever.
14:59If you ask your grandma, your grandma would be saying like, hey, wear a mask or stay at home. I guess there's two insights. One, generally speaking, don't listen to data scientists. Data science is mostly bullshit. Health papers and stuff like most of them are just total garbage. What makes them garbage? It's just so easy to fit the data. And it's so hard to actually make sure, like check how the data and like it's just reproducibility and just reproducibility. The sampling is and even if it's reproducible, there's so many things that could go wrong and the incentives are off and you have to publish in nature.
15:27So you have to do all sorts of weird things. It's true that grandmas are surprisingly good at risk management. They have a very good intuitive understanding of risk. Humans, we've evolved to be fairly good with risk, actually. And even current society actually rewards risk takers better than non-risk takers, right? Like, you see it everywhere. Is it actually that much more risky to place a bet on something you're interested in, or even something that's totally garbage, like, you know, in a casino, than starting a company? Like, I think about these things a lot. like, I would argue starting a company is even crazier.
16:01So how do casinos actually advertise their products? They like show you the one person that made$300 ,000 in the slot machine. People get excited and everyone goes and does it. And, you know, everybody knows the odds, et cetera. Well, it still kind of does the same thing if you think about it. Like, you know, they show like Airbnb and Coinbase and then you have like a flock of people basically going in to start a company. Now, the big difference is obviously starting a company is actually net positive for society versus like playing on a slot machine is not. But I'm talking more about the notion of risk.
16:30Like we all love taking risks. It's just more fun. Living a life where you're taking risk is just such a superior life than one where you're just not taking any, right? So yeah, take more risks. I'm taking a lot. I believe generally the principle, I think it depends on what the profile of risk is. And I think Nassim Taleb is fundamentally pretty conservative or technophobic in some ways. And I'd be like, hey man, Like, I am investing in AI. My grandma cannot take these risks. So I think it depends. I mean, he's more on the short side. He's like more of the pessimistic negative side. Kashi's just a fascinating business.
17:09Used to work at Citadel. You are starting this market from scratch. I think the day we are talking, you know, like there's$16 million in on the election plus my$150. Yeah. Talk a little bit about how you think about designing a healthy market. Yeah. I mean, we just launched the election. We're obviously launching pretty late because we just won the lawsuit. Yeah. The markets just take time. They need catering. They need watering. But they grow. And they're growing. I mean, actually, we're growing like, I think the last two days have been like 6x day over day in terms of like signups and in terms of volume.
17:43So it just takes time. But I think it's ramping up very fast. Exchanges are notoriously very difficult businesses to build. They're some of the hardest. because you have the marketplace angle, which is always hard. And exchanges, like you have to bring in the liquidity and that's really hard to ramp up and takes a long time. How do you think about retail versus like large market makers and institutional monsters? I think of it as more of a falling on the spectrum that goes from like lots of trades, small size to less frequent trading, but big size. So I think the way that the market evolves is like, because we have lower liquidity now, we target retail and then we scale our liquidity as we scale with retail.
18:18and then we scale a type of customer over time. You build an initial layer of liquidity. And we already, I think, have that at CalShe, where now we have this community, this very dedicated community of people that forecast these events. They price them. And then as they price these different events, you know, like, will it rain tomorrow? Is climate change getting worse or better? Is COVID going to come back? As you price them, the mere fact of getting a price, you can ramp up liquidity. You can get more and more liquidity over time. And as you get more liquidity, you attract the large institutions that may, if you're a big institution, you want to hedge against cyber risk or a new bill that may pass in Congress that you hate or other.
18:53So it's, I think, a progression. That's how we think about it. Election specifically, we're seeing a lot of institutional flow. It just said, like, we're a bit late in the game, but the institutions take time, compliance take time to onboard. But we're seeing a lot of institutional flow. There is demand for, like,$10 million,$20 million. Actually, there is demand even up to$100 million trades. We have three weeks, so we're going to have to figure out if we have enough time with our compliance departments to onboard to Calci. But if we do, I think we'll see$100 million trades. It's going to be really cool.
19:19How do you think about leverage? So there's a few things. Like this is like a risk-on product, right? This is not like if you buy, you know, S &P, it doesn't move like maybe like 0.5 % on a typical day, right? It moves more like 10 % on a typical day. So it's already pretty volatile. we have been thinking about how could we basically introduce margin and leverage into the system because when you introduce leverage there's more trading you're right like one dollar can create much more trading activity and we want to introduce more leverage over time but the system gets riskier a little bit of context so we own now as of this year actually one of the like there's a handful of clearing houses in the u.s that can actually clear that can move and hold dollars for trading, for trading derivatives.
20:10Like this happened after 2010. So when the crisis happened, Dodd-Frank came in and says, every like trading of derivative has to go through central clearinghouses. And the reason for that is like, you and I cannot trade with each other anymore like banks used to do. We can't be counterparties because if I, and what happened at times is I defaulted, then you defaulted, then Alfred defaulted, then Kelly defaulted, everybody started defaulting, all the banks defaulted and it was bad for the entire economy. Now it's all centralized in one place where the U.S. government can see the risk and then that one place can basically like manage that risk appropriately.
20:45That's clearing houses. So we actually, as of this year, we own one of the handful. The question is like, when do we, when and how do we introduce the ability for people to take positions without putting all the cash up front? But now you're using credit risk right into the system. I want to do it. I want to do it with the next, next maybe 12 to 18 months. but we're going to have to get really smart on sort of like like okay if Sarah shows up to the exchange like how much leverage should we give you should we let you do 10 to 1 should we let you do 100 to 1 should we let you do only 2 to 1 that becomes like that's a tough question to answer actually yeah I mean it feels like there's a lot of decisions to make there right yeah guaranteeing trades enforcing margin requirements exchanges and clearinghouses are very complex.
21:29And so if you think about what's a good, like maybe the 2008 futures bubble. Yeah. Like there are versions of this that are less healthy and also like speculation is going to exist in any market. And, you know, people want liquidity, right? So I think it's a really interesting problem to go solve. If you had leverage, I mean, if you let people just do it without pre-funding, you definitely expose the system to risk. Again, like risk is fine. We just need to figure out how to manage it. And I think for us, like this is one of those things like where the government is actually very, very tough on on us and clearing houses to do.
22:03Like we really need to be kind of really buttoned up to get to get this to get this done. And I think we'll do it. I think we'll just have a lot of work to do to get there because things can go really wrong when they do go wrong. Right. Yeah. I mean, 2008 was pretty bad. Maybe like just thinking about, you know, the coming election. How should people think about prediction markets versus polling? There's a lot of confusion around this. Polling is asking people who they're going to vote for, right? Like, so assume you can go to, you can survey every single person in Pennsylvania and then ask them, you know, who are you going to vote for?
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22:42And then you count it all up and then you get that Trump is 51 % of people and Kamala is 49 % of people. Then it's guaranteed that Trump is going to win Pennsylvania, right? Like, that's a guarantee. Now, obviously, polls don't work like that. Polls are biased. A lot of them are biased. You should not trust most of them. There's a few that you can trust. But assuming the unbiased ones, like they don't survey everyone in Pennsylvania, but they survey a good sample, hopefully well done. And then they tell you, we think that it's going to be 51-49. The 51-49, that 1 % difference of polling that Trump has over Kamala, that's definitive, right?
23:18That's Trump winning. That's like, you know, if the poll is reasonably accurate, that, you know, prediction markets are not doing the same thing, right? Prediction markets are just pricing the odds of Trump versus Kamala winning, right? They are, like, they're just giving a probability. We think there's a, you know, today right now, it's 55 % chance that Trump is winning. That does not mean that Trump is up 5 % on average over Kamala on the polls nationally. That's not what it means. The other thing that people need to understand is that if Trump polls 1 % higher than Kamala or vice versa, prediction markets are more volatile.
23:54They're going to move more than 1%, right? They're going to give Trump a higher probability or Kamala a higher probability based on the polling. So people are misinterpreting the data and people say like, oh, like Trump has a 10-point lead or like 8-point lead over Kamala. That's incorrect. That's not what the market is saying. Trump now is more likely, like it's a coin flip, but it's a biased coin flip that's biased towards Trump to win. You're still flipping a coin flip. It's slightly more likely to go heads than tails, but it could still come tails. And people are, I think, really confusing that.
24:31And you see it right now, right? Over the last week, you know, the sentiment, people are misinterpreting what these prediction markets are saying. I think people maybe don't understand odds that well. There's some education we need to do. Yeah, well, because there is pricing, not just prediction, right? Correct. Yeah, I think you can kind of assemble this from different events on Kalshi now, but I want to make a—this is just a random feature request for you. I want to make a million-dollar event trade that is if there is disruption in the Middle East before the election, more money on Trump up to these odds.
25:05I want a conditional event trade. By the way, that's not a political opinion. That's just a— That is a fact. It's a trade. Yeah, yeah. But I think conditional markets are actually the next one. So internally, also, most of our engineers really want conditional markets ASAP. We want to do them. I don't know when, but definitely in the next few months, we're going to do conditionals because I really love conditionals. I love this idea of like, basically what you're saying is like, and it's a question that people ask, like, is the Middle East war a good thing for Trump or a good thing for Kamala?
25:34I mean, you know, and who does it favor? And then you can extend that to a lot of other interesting questions, right? Like if Trump wins, what will happen to GDP? What will happen to inflation? If Kamala wins, what will happen to GDP? What will happen to inflation? And you can extend that to everything, right? If Canada X wins, what will happen to crime rates? What will happen to S &P? What will happen to trade tariffs? Like conditionals actually are so neat because it's all about incentives, right? Like, you know, markets don't lie. That's the beauty of markets, right? Like markets don't tell anyone what they want to hear.
26:08They don't tell anyone what they don't want to hear. Like markets just do their thing. And the reason they don't lie is there's money on the line. You can trust one thing in this world is people like making money and they do not like losing money. You can trust that. And as long as you trust that, markets do a fair job at doing this, right? Can I ask a question then in the like very specific context of this one market? Is there a level at which you'd say that Calci is better at predicting the outcome of this election than all polling from a liquidity perspective? Or are you just like, we're there, like we're, you know, it's de minimis scale?
26:42Oh, no, we're definitely there. We're definitely there. You should definitely listen to prediction markets. I think Calci is unique, even compared to other prediction markets, is that it's Americans and it's regulated. So you know that there's no weird thing going on. There's no foreign influence. There's no tampering. There's no wall trading. Like it's all here. It's Americans. There's regulatory oversight on top of it. Like government is overseeing everything. So Kashi has this unique thing. And there's institutional adoption. So it's not like there's no, because people ask me like, do you have a crypto bias or do you have a Trump bias?
27:14The answer is no. Like we have large market makers like Susquehanna, SIG, and a few others that are confidential. And so I think actually Caltech is a pretty accurate gauge. Right now, 55 % is what I would call fair value. That's the correct odds of Trump winning. That doesn't mean Trump will win, but Trump is more likely than not to win right now. So I'll give you a few examples. We have been the most accurate forecast for inflation over the last two years, which is really hard to forecast. We're better than Bloomberg. We're better than the Economist survey. Wall Street is starting to use us instead of any other alternative.
27:45We predict the Fed decisions better than anything else. We predicted TikTok. We predicted Boeing's CEO and what was going to happen to him. We predicted the Omicron wave more accurately than any alternative. And then you have Alante, like, we predict the weather these days. Like, we can predict daily weather more accurately than most weather stations. Is there any intuition for that? Like, the rest of it, I'm like, oh, you can have more, like, the market has the data, right? Like the weather one, I'm like, man, I've looked at weather modeling and like, it's a very hard problem. Like, how could that be true?
28:22Here's why. So weather and the other one is earthquakes. Actually, we also predicted, we did a good job. Like there was the tsunami or the earthquake in Japan. And we kind of did a good job predicting like when and how the next one will hit. Earthquakes are obviously insanely hard to predict. You cannot do it. But I, and what I say, like the statement I made was not like we are always accurate or we're super accurate. What I made it, what the statement I made is like we're more accurate than alternatives. And the reason is actually very simple. It's like, okay, let's talk about earthquakes or weather.
28:53Earthquakes, you, right now the alternative is like you go to an expert and the expert makes a prediction. That's it. And if the expert is wrong, there's no impact, like no consequence of it. And if he's right, you know, people, he'll gain more followers on Twitter and people are going to want to listen to it. Great. when you open a market this expert that may have an opinion but there's also a bunch of other experts maybe also a bunch of random i don't know people that read the news and are interested in earthquakes if you bring them all into a marketplace and you incentivize them to actually be right what they're going to do is scout you know scout for information on they enter anyone that can find information and then trade it into the market bring it into the market that's what markets do so well right like they do what we call information aggregation or dissemination So you go and do research and then bring it to the market.
29:39And then if enough people do it, you get market efficiency. You get an efficient pricing. And if it's not that someone who's smarter that has information that disagrees with the market should also is incentivized to come and trade against it to bring it back to efficiency. So that's the intuition, right? It's think of it as like wisdom of the crowd plus skin in the game. You combine those two, you actually end up having it. It's like a better mechanism to forecast anything than like trusting anybody saying stuff on TV, essentially. and that's why it works for the weather because people are incentivized to be right they want to make money what is the process to add a new market to calci uh it takes 24 hours now so that was actually really difficult one because our first market that we ever listed took us 18 months and that's what it takes other exchanges like when you're like when cme wants to trade a new grain future smp future takes two years we had to shrink down the tech the regulation the ops for ads.
30:30And now we like, we literally just compounded over time and now we can do it in 24 hours. So a lot of our team comes up with markets, like what's trending, what's viral, what are people talking about? But 50 % of our markets actually come from our users. So we have this thing called market builder on the site and the app where people can just build a market and make the case like, Hey, I think this should be up. And then we list it within 24 hours. It's weird because if you know whether the movie is going to be good or not beforehand, now you have a forecast of whether a movie is going to be good or not before it gets released.
30:57If it's bad, now the movie producers are not gonna be able to juice the week of box office before the reviews go out, essentially. So really, now you're applying market efficiency upfront. You stop wasting people's time and money if they think the movie is going to be bad. Yeah, that's a fun one. So I assume working at Calci, you cannot make trades on Calci. I can't. Yeah. Are you allowed to describe the trades you are interested in or would make? Yeah, I can. I mean, so, well, actually, I cannot trade on Calci. I can't trade on any instrument other than stocks because I run a regulated exchange.
31:29Okay. Yeah, which kind of sucks. But oh my God, there's so many that I like. I would definitely, so I would definitely participate in anything that's around like a year long economy, like what the Fed interest rate is going to be in inflation. I love all things around tech. So I love actually like forecasting whether CEOs are going to be around for the next year or not. And we have it for all major tech companies. What tech CEO do you think is going to be out by the end of next year? So I don't think that way, actually. I think, for example, I don't think like yes or no necessarily. I think what's underpriced.
32:07I think Elon leaving Tesla is pretty underpriced. Or like stepping down and having someone run it. Like it says, you know, I mean, now this year is close to done, but 2 % chance, like 1 in 50. I don't know. You think it's higher than that? Yeah, like if Trump wins and assigns him to be secretary of the government, like, I mean, this is not financial advice. Like, you know, this is not, but this is me personally. 2%, 1 in 50, like sounds too low. Like that, like, and that's a 50x multiplier. Like, yeah, I think the odds are more closer to personally, I think like closer to 15%, 15, 20. So that's one.
32:43I think people like these are really hard to price. So people like misprice those quite a bit. and then I would also like probably do I would do weather I never thought I never understood the appeal but now I understand it a bit better it's so cool because you can do it every day so it's repeated game and you can get better every day and I love that that's cool where does the information come from weather? where would you begin? I've heard from some of our users I know there's a team that scrapes satellite data they actually figured out how to get satellite data and like you know but it's not just about like what the weather is going to be.
33:20It's like a bunch of atmospheric things. And then they correlate it with what the weather is going to be. So I think that's one. There are interesting things around, like you can basically create a bunch of time series, like basically cyclical climate patterns. Like you can model, like it's all about modeling, okay, how the climate cycle looks like and seasons. And like there's different frequencies for seasons and daily fluctuation. And then also like yearly and decade long fluctuation. And then also like this millennium. So you can do a lot of stuff like that. But then after you just have to tweak and search and research and find niche places where people like to make predictions.
33:58And there's a lot to do there. Do trading firms recruit off of Calishing leaderboards yet? Yeah, they do. Okay. Yeah. They asked us a lot also. But I mean, there are people that consistently, like there are people that are making hundreds of thousands of dollars a month on weather, weather alone. the dude who's forecasted inflation the best so we have hedge funds we have pop shops we have wall street people we everybody there's the best forecaster over the last 18 to 24 months is is a random dude from kansas never traded in his life just likes to read the news and this man just knows what inflation is gonna be like it's awesome it's incredible yeah uh but they do cool stuff like they not him but there's a team that correlated for example like how late the lights are on at the BLS with the jobs data.
34:48I mean, how do you even come up with that? I don't know, but people come up with stuff like that. Well, this is so cool. I love the idea of opening the aperture of the types of risks that people can go price in the world and transfer. And so it's good to hang out. I'm such a nerd about markets and it's a really cool thing you guys have done. This is really fun. I love doing the pod. Thanks so much for having me. This was really, really fun. Congratulations on the progress so far and good luck to all our Calci traders on the election. Find us on Twitter at NoPriorsPod. Subscribe to our YouTube channel if you want to see our faces.
35:23Follow the show on Apple Podcasts, Spotify, or wherever you listen. That way you get a new episode every week. And sign up for emails or find transcripts for every episode at no-priors.com.
From the publisher
In this week’s episode of No Priors, Sarah sits down with Tarek Mansour, CEO of Kalshi—the first CFTC-regulated prediction market exchange in the U.S. They dive into Kalshi’s recent victory to legalize election betting, explore ethical questions around trading on elections, and discuss whether prediction markets can offer more accuracy than traditional polls. Tarek shares insights on the history of futures markets, the line between gambling and financial trading, and the psychology behind betting. Plus, Sarah makes a live election bet, and Tarek reveals some of Kalshi’s most intriguing markets.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @MansourTarek
Show Notes:
0:00 Introduction
1:22 Sarah makes a live election bet on Kalshi
3:35 Getting approved and regulated by CFTC
5:48 Going up against the CFTC to legalize election betting
7:21 Debating the ethics of trading on elections
8:12 Gambling vs. trading
9:12 Context and purpose of futures markets
12:38 The human psychology behind speculating /Humans conditioned to risk taking
17:17 Building a healthy exchange and scaling liquidity
19:30 Introducing leverage and working with clearinghouses
22:29 Polls vs. prediction markets
24:59 Conditional markets
26:38 What makes Kalshi’s markets accurate
31:29 Tarek’s insights on the most interesting trades and markets on the platform




