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If zero or one person enters, the round is void. Everyone is refunded; no fees are taken.
If every participant has the exact same (e.g. everyone predicted the same price), the round is void. Everyone is refunded.
The median cutoff is exclusive: you need an error strictly below the round’s median error to win. If your error exactly equals the median, you lose along with everyone at or above it, you don’t get a tiebreaker.
If half or more of the round’s participants share the same best (lowest) error, the strict “below the median” rule would leave nobody eligible to win, since the shared error is itself the median and none of them beat it. The best-coalition exception covers this: that tied group all win together, even though none of them is strictly below the median. Everyone else loses and funds the prize pool as usual. This only kicks in when the tie is at the lowest error and covers at least half the field, it’s rare in practice.
A few very close predictions among the winners, or unusually spread-out errors, could otherwise concentrate almost the entire prize pool on one or two predictions. A winner’s total payout (stake back plus prize pool share) is capped at a multiple of their stake, currently up to 100× profit in extreme cases. If the uncapped math would pay a winner more than that, the extra is rerouted to the other winners by accuracy weight × stake, not lost.Formulas (for verification):
  • Prize pool = losing stakes, minus the round’s 20% take.
  • Payout weight (winners only): wi=ai×siw_i = a_i \times s_i (accuracy weight × stake).
  • Profit cap for winner ii: capi=si×(max ROI1)\text{cap}_i = s_i \times (\text{max ROI} - 1).
  • Gain: gaini=min(α×wi,capi)\text{gain}_i = \min(\alpha \times w_i,\, \text{cap}_i), where α\alpha is a single scale factor chosen so the sum of all gains equals the prize pool while no winner exceeds their cap (water-filling).
  • Total payout: payouti=si+gaini\text{payout}_i = s_i + \text{gain}_i for winners, 00 for losers.
Last modified on August 4, 2026