A price on an outcome, or a mechanism you can inspect
Prediction markets aggregate money into a probability, and they are good at it. What they cannot give you is the reasoning — a price is a number with the argument stripped out.
The short answer
Markets are an excellent instrument for a specific job: turning dispersed private information into a single number, fast, with real money making people serious. On liquid questions they are hard to beat.
They discard the mechanism. A 63% price does not tell you which causal story produced it, which means you cannot check the reasoning, reuse it on a different question, or learn that the reasoning was wrong for the right reason. When the market resolves, the number was right or it was not, and nothing carries forward.
A model carries forward. It states why, so you can apply it elsewhere, disagree with a specific premise, and find out whether the mechanism held rather than whether one number landed. And because each model names its own deletion clause, being wrong enough times retires it.
Also worth saying plainly: no money is involved here. Nothing to win, nothing to lose, no incentive to be liquid rather than right.
Side by side
| Prediction markets | Model Meets Reality |
|---|---|
| Aggregates into one price | States a mechanism you can read |
| Reasoning is discarded | Premises written down and forkable |
| Resolves and is finished | The mechanism carries to the next question |
| Money makes people serious | Nothing at stake but a public record |
| Needs liquidity to work | Works with one author and one claim |
What Prediction markets does better
For a well-defined question with real liquidity, a market's probability is usually better than any single person's model — including a good one. Money is a strong incentive and aggregation is powerful. Use a market when you want the best available number; use a model when you want to understand and reuse the reasoning.
Where this stands today
https://github.com/someone/their-model Help me use this
Paste that into any assistant. It reads the model — premises, falsifiers, deletion clause — and reasons through it.
The difference that is not on the table
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