Model Meets Reality · compare

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

A market tells you what the crowd believes. A model tells you why something happens, and what observation would show it is wrong.

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 marketsModel Meets Reality
Aggregates into one priceStates a mechanism you can read
Reasoning is discardedPremises written down and forkable
Resolves and is finishedThe mechanism carries to the next question
Money makes people seriousNothing at stake but a public record
Needs liquidity to workWorks 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

Said plainly, because the whole point of this site is not overclaiming. The Model Garden is opening small — no models listed as of September 2026. Every record shown is self-graded: the author's own count of claims made and resolved, labelled as such on each card. Nothing here is ranked, and no independent resolution layer exists yet. Prediction markets has things this does not, named above rather than omitted. Compare the designs, not the scoreboards — there is no scoreboard.
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

Prediction markets grades your prediction. Here what accrues a record is the reasoning behind it. Both let you register a claim before the outcome is known, and that overlap is real. The difference is the unit: there, a resolved question is a score; here, the mechanism you claimed would produce it is the thing that survives or fails, across every claim it makes. You can be right about an event for reasons that do not generalise — this is built to catch that.

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