Who decides what's true?
A market that pays out on real events is only as trustworthy as whoever rules on the outcome. Settlement is where prediction markets quietly live or die.
We've spent this series treating the price as the interesting part — the probability, the calibration, the liquidity that keeps it honest. But none of that matters if the last step goes wrong. A prediction market is a promise: when this event happens, the YES holders get paid and the NO holders get nothing. Someone has to look at the messy real world, decide which of those two things occurred, and flip the switch. That step has a name — resolution — and it is the quietest, most underrated risk in the whole machine.
Here's the thing nobody tells newcomers: you can be completely right about the world and still lose. If the market asks a sloppy question, or the resolver rules against the plain meaning of events, your correct forecast pays you nothing. The price was perfect; the settlement burned you. So before you trust a number, you have to ask who turns it into a payout — and whether you trust them.
From a messy event to a clean payout
Every event contract is a binary. It resolves to \(1\) or \(0\) — there is no 73¢ at the end, only paid or not paid. The job of resolution is to take something genuinely ambiguous — an election called over a long night, a game decided in overtime, an economic figure that gets revised a week later — and collapse it into one of two states. The whole design problem is that real events don't arrive pre-labelled. Somebody, or some mechanism, has to do the labelling, and the entire credibility of the venue rests on that step being both fast and fair.
There are two broadly different answers to "who labels it," and they sit at opposite ends of a trust spectrum. One puts a regulated company in charge. The other tries to remove the company entirely and replace it with an open, adversarial process. Both work most of the time. Both have a failure mode. Understanding the trade-off is the point of this piece.
Model one — the centralized resolver
The simplest answer is: the exchange decides. On a regulated venue like Kalshi, every market ships with a rulebook before a single contract trades. The rules spell out the exact source of truth, the exact threshold, and the exact timing — not "did the candidate win" but "as reported by the Associated Press as of this date and time."1 When the moment comes, the exchange reads its own rule against the named source and settles. You get your payout fast, usually within the day, and the logic is legible because it was written down in advance.
The cost is straightforward: you are trusting the venue. The exchange wrote the rule, the exchange interprets the rule, and the exchange holds the money. In a regulated market that trust is backstopped — the venue answers to the CFTC, keeps customer funds segregated, and faces real consequences for ruling in bad faith.1 That oversight is exactly why a license is worth so much: it converts "trust us" into "trust the regulator standing behind us." But make no mistake about the shape of it — centralized resolution is fast and clean precisely because one accountable party gets the final say.
Model two — the optimistic oracle
The other answer comes from crypto, where the entire premise is to avoid a single trusted company. Polymarket settles most of its markets through UMA's optimistic oracle, and the word "optimistic" is doing real work.2 The mechanism assumes the easy path will usually be correct, and only spins up the expensive machinery when someone objects.
It runs in stages. After the event, someone — anyone — proposes the outcome and posts a bond to back their claim. That opens a dispute window: a fixed stretch of time during which anyone who thinks the proposal is wrong can challenge it by posting a bond of their own. If nobody challenges, the proposal stands and the market settles — cheap, fast, no committee. If someone does challenge, the question escalates to a vote: holders of UMA's token adjudicate, and the side that the vote agrees with takes the loser's bond.3 The bonds are the whole trick. Proposing a lie or challenging the truth costs you money, so the cheapest move is usually to be honest.
It's a genuinely elegant design. It needs no standing committee, no privileged data vendor, and no permission to participate — anyone with a bond can defend the truth. And for the overwhelming majority of markets, where the outcome is obvious, it settles on the cheap top path and never convenes a vote at all.
The two models, side by side
Neither model is "the right one." They're different answers to the same question — who do you trust, and what do you trust them with — and they make opposite bets.
Notice that the two failure modes rhyme. The centralized venue can rule against you, and you have to trust it not to. The oracle can escalate to a vote that reads an edge case the way you didn't — and a vote of bonded strangers is not obviously wiser than a regulator about, say, the precise wording of a contract. Different machinery; the same underlying problem keeps showing up. And it isn't the obvious cases.
The hard part is always ambiguity
Here is the part that surprises people: resolution almost never breaks on hard facts. When the question is "who won the game," both models settle in seconds, because there is a scoreboard and everyone agrees what it says. Disputes don't come from uncertainty about the world. They come from uncertainty about the question.
The trouble is language. A market asks something that felt perfectly clear when it was written, and then reality serves up a case the wording never anticipated. What counts as "by the end of the year" — announced, signed, or in effect? Does a thing that is technically true but obviously not in the spirit of the question count as YES? When two reputable sources report different numbers, which one is the source of truth? None of these are questions about facts. They're questions about interpretation, and that is exactly where money gets stuck.
Across 2024 and 2025, as volumes climbed from under \(\$100\text{M}\) a month to past \(\$13\text{B}\),4 the contested resolutions that drew real attention followed this pattern almost every time. Rarely did anyone dispute what happened. They disputed whether the literal text of the market matched the spirit a normal person would have read into it — vague criteria, an unforeseen technicality, a "technically true" reading that split a community down the middle.5 The lesson the operators took away is the one that matters for everyone else: the wording of the question is not paperwork. It is the product.
The deliverable of a prediction market is two things at once: a question crisp enough that a stranger could rule on it without arguing, and a resolver — venue or oracle — neutral enough that you'd accept its ruling even when it goes against you. Get either wrong and the price was never the point.
Resolution is its own risk class
So the takeaway for a newcomer is to hold two questions apart that feel like one. The first: is my forecast right? The second: if I'm right, will this market actually pay me? Those are different risks. You can nail the first and lose to the second. Calibration, sharpness, all the machinery from earlier in this series — that's about being right. Resolution risk is about whether being right gets rewarded, and it lives entirely in the wording of the question and the credibility of whoever rules on it.
This is why, when you read a market, the rulebook deserves as much attention as the price. A tight, unambiguous question on a venue you trust is a different instrument from a loosely worded one — even if both are quoting the same 73¢. The honest version of "the price is a probability" comes with an asterisk: a market can price an outcome perfectly and still burn you if the resolution is ambiguous. The number tells you what the crowd believes. The resolution tells you whether that belief ever turns into money. Both have to be right, and only one of them shows up on the screen.
None of this is unique to elections or to crypto, by the way. Most of today's volume is sports, where resolution is mercifully easy — the scoreboard is the oracle, and disputes are rare.4 It's precisely as markets reach for the genuinely uncertain and the genuinely contestable — policy, economics, the soft edges of the real world — that resolution stops being plumbing and becomes the thing the whole venue is judged on. Building that layer well is, quietly, most of the work.
At Seeker we think about this constantly, because it's the part you can't paper over with a slick interface: a demo can show you a price, but a credible exchange has to be able to settle — to write questions that don't fight you later, and to resolve them in a way a regulator and a user would both call fair. That's the bar the license is meant to certify, and it's the bar we're building toward. The price is the easy half. Deciding what's true is the rest.
- Kalshi's contracts are governed by published rulebooks that specify, in advance, the authoritative settlement source and the exact resolution criteria for each market; as a CFTC-regulated designated contract market it adjudicates under those terms and operates under federal oversight with segregated customer funds. See Kalshi's market rules and the CFTC's event-contract framework.
- Polymarket settles the bulk of its markets via UMA's Optimistic Oracle — a decentralized mechanism in which an asserted outcome is accepted by default unless disputed. See Polymarket's documentation on resolution and the UMA integration.
- UMA Optimistic Oracle: an outcome is proposed with a bond, a liveness/dispute window opens, and any disputed assertion escalates to UMA's Data Verification Mechanism, where token-holders vote and the incorrect party forfeits its bond. See UMA's protocol documentation (docs.uma.xyz).
- On the category's trajectory and composition: combined monthly volume climbed from under $100M in early 2024 to past $13B by the end of 2025 (Pew; The Block), and sports contracts have made up roughly 80% of volume since launching in mid-2024 (The Block).
- The pattern of resolution disputes through 2024–2025 is described here at the level of recurring failure modes — ambiguous wording, unanticipated edge cases, and "technically true" readings — rather than litigating the specifics of any single contested market.