Posted by jonbecker 4 hours ago
A small example of this would be NFL / NBA Refs fixing playoff games with a bad call or two. This actually happened 20 years ago, an NBA ref went to prison over being bribed just $2000 per game.
The much worse example is the fact that you can make 100-1 odds on whether the US airstrikes Iran today... or How many times Pam Bondi says the word "China" in a press conference.
Somebody poor grunt who chose to earn a living by laboring (which has proven to be much less effective than being born with money) will be putting fuel in the bombers and thinking "I could just make an anonymous bet..."
It's a national security issue.
We saw this with the Venezuela attack. A flurry of trading and someone made $400,000 for placing a bet mere hours before the "surprise" attack. https://www.pbs.org/newshour/nation/a-400000-payout-after-ma...
With the prediction market, there is a financial incentive for people on the opposite side of the bet being motivated to uncover the malfeasance.
The pizza index is specifically about late-night pizza orders, when presumably most of those restaurants are closed (though some do appear to be open 24/7).
https://finance.yahoo.com/news/trump-jails-venezuela-leaker-...
Anyone with a security clearance making bets like this is not a smart person.
No beleives MAGA nuts are trading experts.
1- Making a bet with privileged information. 2- Creating the event and making the bet.
2 would be a war crime, 1 would be a probabilistic leak.
Trump claimed they didn't want to pass through congress because they leak, and there were no leaks about the event. But if any personnel made a polymarket bet, that would constitute a leak. It wasn't acted upon, but if personnel continues to leak information in this manner, it is possible that an adversary will eventually listen to this signal, and that it was just ignored because it is too fresh.
This analysis would also make it clear why it would be immoral to participate in such markets as a civilian. Because if it is your country you might be compensating an insider for information, benefitting the enemy. And if you are not, you might be harming the enemy, but you would be an unlawful belligerent.
But most of us understand that prediction markets aren't that, no matter what Robin Hansen said when he was helping invent the modern incarnation of things like Polymarket and Kalshi. They're gambling venues, and we have "Nevada Gaming Commission"-style concerns about fairness. To me, the next logical step is to say that they should be heavily regulated, but in the era of DraftKings, that seems off the table.
A classic example is the color of the Queen's hat at Royal Ascot.
https://www.upi.com/Odd_News/2008/06/20/Bets-placed-on-queen...
https://news.williamhill.com/horse-racing/queens-hat-betting...
And the relevant one from 2005 - https://www.foxnews.com/story/hat-trick-upsets-british-booki...
> But alarms were raised Thursday morning, hours before the royal appearance, when a run of bets for brown started coming in, displacing light blue as the favorite.
> "Nobody was backing brown at all and suddenly everyone wanted in on it," Paddy Power (search), owner of the eponymous chain of betting shops that inaugurated the hat bet 10 years ago, told The Times.
> Power's odds on brown went from 12-1, to 2-1, to even and finally to 8-11 before he yanked the bet at 11:30 a.m., 2½ hours before the Queen was due to show.
> "Someone must have been in the know. We laid 50 pounds at 20-1 and 200 pounds at 10-1 and some smaller bets," David Hood, spokesman for rival betting chain William Hill (search), told the Daily Telegraph.
> ...
> When Elizabeth II finally made her appearance, she was indeed wearing a brown hat with cream trim.
> "Somebody has made a tidy sum," sniffed Hood.
> Both he and Power, who estimated his firm lost about 10,000 pounds, or $18,000, suspected palace insiders.
All without traceability or secret drops or whatever.
POSIWID
Everyone can make up a silly purpose.
Against POSIWID: https://www.astralcodexten.com/p/come-on-obviously-the-purpo...
E.g. there's a 1-to-1000 bet for $1m today on Trump falling down the staircase. So markets read this and go crazy, buying up the stock. The next day, nothing happens and the markets go down. But somebody could have made billions betting on that.
It turns out that play money prediction markets are just as good as the real money ones.
I'm sceptical that prediction markets uniquely enable this. Like, if you want to bet on U.S. airstrikes in the short term, you could always buy oil options (or short exposed companies). If you're in for the long term, you're buying something that benefits from cheaper gas, e.g. an additives company.
Insider trading is illegal. And for trades that aren't technically insider trading, often having some information ahead of time isn't as useful as it seems. Markets are known to react unpredictably to news; sometimes they move the opposite way from what you'd think, especially over the mid-long term, and there are many other influences on the price.
With a prediction market though, if you know what'll happen in the world, you know exactly what you'll win in the market.
It also makes sense for the people voting: by betting against the outcome they want, they end up either a) paying for getting things their way, or b) getting consolation payoff if the decision makers pick the undesired choice.
if you're not the person-in-complete-power, your bet is really likely to be 'rigged' against you
I'd rather play dice or buy lotteries
This is quickly becoming the point of them, at least insofar as they are enjoying an extremely favorable regulatory environment courtesy of the Trump crew.
> During the 2024 general election campaign, allegations were made that illicit bets were placed by political party members and police officers, some of whom may have had insider knowledge of the date of the general election before Rishi Sunak, the Prime Minister at the time, publicly announced when it would be held.
> ...
> In April 2025, the Gambling Commission charged 15 people with offences under Section 42 of the Gambling Act 2005, including Russell George, Tony Lee, Nick Mason, Laura Saunders, and Craig Williams. Trials are not expected to begin until September 2027 or January 2028.
But for big events/talked about stuff/etc ofc this is not true.
OK, and? The market is just paying them to make information about their decisions public.
If "Politician XYZ takes the day off and sits on the couch" were paying 100-1 odds, it wouldn't be such a big drama (although, again, the existence of the bet would still impact their behaviour)
This also isn't a theoretical issue that may happen - it dissapoints me that very few people know this but - on October 10th when BTC fell from $122k to $104k because of a trump announcement, someone created a short position 30 minutes before Trump announced 100% tariffs on Chinese imports and profited $200M USD.
In the context of legislating prediction markets or not, sports is not a concern at all.
Whether it's a net positive or negative for important shit like war and corruption, we'll see, but if it helps in the important stuff, but damages sports, sorry bud.
Second - even if you are not one of the millions of Americans that give a shit about sports, there is still a massive fraud implications just by the existence of crypto prediction markets. All it takes is one bad call to changed the outcome of game. The Superbowl last year had over $1 billion wagered on it.
I have to say I was this huge fan of the idea and I didn’t anticipate it would happen like this.
And then I go back to the home page, and see all the rabid sports fans, and realize that these bets are not being placed by deep thinkers.
https://www.cookpolitical.com/analysis/senate
Portrayal to the contrary is mostly due to non-experts pumping their own ego, or deliberate media spin.
For example, one of the top trending ~~bets~~ markets right now is on whether Miami or Indiana will win the NCAA football championship tonight. You can either take "Yes" on Indiana at 74c, or "No" at 27c, or you can take "Yes" on Miami at 27c or "No" at 74c. Or, there's another potential outcome - you can also bet on a tie at 10c yes/91c no.
Is this research suggesting that an optimistic Miami fan can somehow get a better return by buying "No" on Indiana than a "Yes" on Miami?
Why is Kalshi structured with these yes vs. no options for all outcomes?
it's basically how they do margin. otherwise you wouldn't be able to sell / post asks without already having a long position. for kalshi, it's actually one single security in the background they just present it as two order books (but really it's one). for polymarket, they are two distinct products that trade separately, and technically could have arbitrage between them. although in practice they're normally priced correctly to sum to 1 (or 1.01)
Edit: it looks like the tie market is only for if the game is tied at halftime, which makes much more sense
1. The article mentions the bid/ask spread for contracts, but I believe that Kalshi also has its own fee structure. Small edges (an expected loss of 0.57¢ on a 1¢ contract implies an expected gain of 0.43¢ on a 99¢ contract, or a 5.75ppt edge) can be easily eaten by even small fees, and liquidity provision is all about small edges.
2. The article ignores the time value of money, and contracts take time to resolve. If a contract won't resolve for six months and the risk-free rate is 5%, then buying a "sure thing" over 97.5¢ is a loss net of otherwise earnable interest.
3. Long shots offer greater implied leverage to bettors, making them more attractive. This is still (sometimes) an exploitable mispricing, but it's closer to the well-understood "bet against beta" factor.
(Edit to add) Also, I think their explanation of the non-returns on finance is lacking:
> Why is Finance efficient? The likely explanation is participant selection; financial questions attract traders who think in probabilities and expected values rather than fans betting on their favorite team or partisans betting on a preferred candidate. The questions themselves are dry ("Will the S&P close above 6000?"), which filters out emotional bettors.
Financial contracts are the ones that are most perfectly hedges with existing markets. "Will the S&P close above X?" is a binary option, after all, so it's comparatively easy for a market-maker to almost perfectly offset their Kalshi positions with opposite positions in traditional markets.
As I read it, the implication is that a market maker in the high-P regime needs to still have an expected edge of 1.75% to profit net of fees, which means that the 'maker return' table in this article is net negative after fees for all categories save for entertainment, media, and world events.
I will also add to the 2nd point that some of these platforms due give fixed interest to positions in unresolved markets.
For instance, if you spot malware in a commit you could bet heavily against it being merged, and that would attract the maintainers' attention, and they'll see what you see and not merge it, and you get paid for the code review--that money would come from whoever bet that it would get merged, which you could require be the author of the malware. I haven't worked it out entirely but it seems that there are opportunities to build games that reward dilligence and transparency and penalize deception and spam.
This thought experiment took part in a world where the web was significantly worse than our own: hoards of malicious AI's and precious few humans trying to not be mistaken for a malicious AI. Of course a pre-existing trust relationship is much better, but ideally there'd be a way for untrusted authors to make it through to a real human somehow. Attaching money to the commit would be one way to do that.
In the case where you're betting heavily in favor of a commit, maybe because you've reviewed it and think it's good, maybe because it contains malware you want to inject... you'd be attracting reviewer attention to that commit because if they can talk the maintainers out of it they end up with more of your money.
Probably the best strategy for a malicious committer would be to sneak through a low value nothing-to-see-here commit, because the low bet would not attract extra reviewer attention, so the maintainers have to set it high enough that it still incentivizes review.
I don't want to live in this world, by the way, I'm just afraid we might have to.
Edit to add that on non eligible markets your theory is correct, for example: https://polymarket.com/event/will-jesus-christ-return-before...
There's another idea, which is make contacts that pay out in shares of an ETF, but I haven't seen this idea put into practice
Could you use inefficient markets as a predictor of great volumes of insider trading?
So it would be interesting to measure the inefficiencies of various bets vs the total market value in that bet.
e: Although full disclosure, I did not pick apart the entire paper. Maybe it's buried in there.
i didn't filter for manipulation specifically, but i did find that politics was actually one of the most efficient categories (only ~1% maker/taker gap), suggesting the market absorbs those flows pretty well.
I confess I'm surprised by that result in particular. I realize your results are for Kalshi, but ISTR some reports from the presidential elections on Polymarket.
But more generally: When you say there is "only a ~1% maker/taker gap", is that weighted by the size of the bets? or is it averaged over the number of bets placed?
In any case: Thanks for a very interesting paper!
I'm glad you enjoyed the paper :)