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Resolution Criteria

Quick definition. Resolution criteria are the pre-defined, natural-language rules specifying exactly what counts as YES, NO, or VOID for a given prediction market. They are the contract · every other layer (oracle, dispute system, AI judge) is just enforcing this text. Aradtski's claim that "the Oracle Problem isn't the problem · definition is" is the central thesis of this concept: most cataloged failures trace to the criteria, not the resolver.

Key insights

In their words

A tricky aspect of prediction markets is that you're not necessarily taking a position based on the outcome of the question; you're taking a position based on the rules of resolution for that market.· OddChain
If you tell me what an invasion is, I'll tell you if what happened in Venezuela was one.· OddChain (paraphrasing the Ginsburg "you tell me what a sandwich is" framing)
When resolution criteria are clear, prediction markets can surface the truth. But when the contract relies on vague or contested terminology, we're no longer predicting reality, we're predicting whether reality aligns with someone else's definition.· OddChain
Read the resolution criteria, not the title… Model the resolver, not reality. The question isn't 'What do I think happened?' but 'What would people applying these specific rules to these specific sources conclude?'· OddChain
[The Oracle Problem] is actually a definition problem, not a trustlessness problem.· Aradtski

Where it matters

Resolution criteria are the layer where the prediction market's truth-claim either holds or collapses. Sloppy criteria attract volume (the ambiguity is fun) and produce disputes (the ambiguity is exploitable). Every serious oracle-design proposal ultimately routes back to "write better criteria" · AI judges can interpret consistently, layered oracles can route by criteria type, parametric markets eliminate criteria interpretation entirely. The platforms that scale will be the ones that solve criteria precision without killing market diversity.

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