Opinions Without Cost
I'm reading Nassim Taleb's Skin in the Game right now. It's the kind of book that makes you re-examine things you'd accepted without thinking. One of those things, for me, is why prediction markets matter at all.
Taleb's thesis is direct. People who make claims, predictions, or decisions without bearing the consequences of being wrong are not actually informative. Their opinions are cheap to produce. They cost nothing to put out into the world. And so they tell you very little about what's actually true.
He opens the book with Hammurabi's code. If a builder builds a house and the house collapses and kills the owner, the builder shall be put to death. Brutal, but the principle is clear. The builder has skin in the game. The builder's house will not collapse, because the consequence of failure is borne by the builder, not the owner.
Compare that to a commentator on television predicting an election. If they're wrong, they're invited back next week. If they're right, same thing. There's no penalty for being wrong, and no reward for being right beyond what they were already getting paid. Their forecast is not information. It's noise dressed up as information.
What a Trade Reveals
Taleb puts it bluntly somewhere in the book:
Don't tell me what you think. Tell me what you have in your portfolio.
That line stayed with me. It captures the whole argument in one move. Markets work because the participants have something at stake. A trader who buys YES on an outcome at 62 cents is putting capital at risk. If the trader is wrong, they lose money. If the trader is right, they make money. The price reveals what they think will happen, weighted by how much they've researched it, what they know that others might not, and how much capital they're willing to commit to that view.
Why Prices Are Informative
Polls don't have this property. Asking a thousand people what they think happens next costs the respondents nothing. The answers are free to give, and worth what was paid for them.
Prediction markets sit between the two. They take a question that commentators argue about and polls measure poorly, and turn it into a price. The price is a forecast, but one that cost money to produce. Every cent of every quote is somebody's capital saying "I'm willing to be wrong about this, here, for this amount."
That's why the prices are informative. Not because traders are smarter than commentators. Because traders pay for being wrong, and commentators don't.
Markets as Filters
There's a deeper point here. Taleb argues that skin in the game isn't just about fairness. It's about epistemics. You cannot know what people actually believe by asking them. You can only know by watching what they do when there's something at stake. A market is a machine that forces participants to put their analysis, their information, and their beliefs into a form that can be priced.
And the prices, taken together, are the most honest forecasts we have.
Here's what I find most interesting about this. A prediction market doesn't ask you to trust the participants. It doesn't matter whether they're experts or amateurs, calm or panicked, well-informed or not. The mechanism filters all of it through the requirement of capital. Bad forecasters lose money to better ones over time. The price converges on something true, weighted by the conviction of those willing to back it.
It's the closest thing we have to a public instrument for aggregating what's actually known about a question.
Nobody Has the Full Picture
There's another idea worth bringing in here. Nobody has the full picture on most questions. Different people know different pieces. Some have spent years researching the topic. Some have private information no one else has. Some have spotted patterns others missed. A price is how all of that knowledge, scattered across hundreds of different participants, gets pulled into a single number. You don't need any one expert to have figured it out. You need a mechanism that aggregates what everyone knows, weighted by what they're willing to bet on it.
Skin in the game is what keeps that mechanism honest. Without it, the loudest voices dominate. With it, the most rigorous ones do. The market punishes sloppy analysis and rewards careful work, because careful work makes money and sloppy work loses it.
Who Pays for Being Wrong
Once you start seeing it this way, the asymmetry of how we currently make collective decisions starts to bother you more. Polls drive policy. Commentators drive narratives. Forecasters in suits drive billions in capital allocation. Almost none of them have skin in the game on what they say. The forecasters get paid either way. The consequences fall on everyone else.
Taleb puts it directly:
Avoid taking advice from someone who gives advice for a living, unless there is a penalty for their advice.
That's the whole indictment in one line. Most of the people whose job is to be right about the future aren't filtered for actually being right. They're filtered for being confident, articulate, and good on camera. Those are different things.
Prediction markets are an antidote to that. Not a replacement for everything. A check. A way to ask the same question to people who have to pay for their answer.
Why Permissionless
The value of prediction markets goes up the more of them there are, and the more accessible they are. If the only prediction markets that exist are the ones a single operator chose to list, you've reintroduced gatekeepers into the system. You've recreated the commentator problem at the platform layer. Someone is deciding which questions are worth pricing, and that someone may or may not have skin in the game on whether they choose well.
A protocol that lets anyone launch a venue and list a market removes that layer. The protocol itself has no opinions about which markets should exist. It provides the trading rails and lets the world decide what's worth pricing. If a question matters to someone enough to list it, and matters to others enough to trade it, the price gets discovered. If not, the market dies. Both outcomes are information.
Skin in the Game Cuts Both Ways
Late in the book, Taleb writes:
Those who talk should do and only those who do should talk.
That line is what convinced me to stop talking about prediction markets and build one. I had been fascinated by the category for a long time, and I had opinions about how the infrastructure should work. Skin in the game cuts both ways. If you think you know what the shape should be, you owe it to your own argument to go build it. Otherwise you're just another voice without consequence.
I built OddMaki because I think this is the right shape for prediction markets to grow into. Many venues instead of one. The market itself as the curator instead of a committee. Infrastructure that stays out of the way instead of a platform that picks winners.
Why I Believe in the Category
The reason I believe in prediction markets as a full category, and not just one product, is that I believe in skin in the game as an epistemic principle. Markets that cost something to participate in produce forecasts that mean something. They turn what people actually know, and what they're willing to put money behind, into something the rest of us can read off a price. Polls and commentators and panels don't do this. If you take Taleb seriously, that's not a small claim. It's an argument that prediction markets are one of the more honest instruments we've built for finding out what's actually likely to happen.
I'd like there to be a lot more of them. That's why I built the protocol.
— Carlos Revelo