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App Fortytwo Stakes Rewards Judging

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Stake Calculation

All stake amounts are derived from two query parameters: min_intelligence_rank (0-42) and min_answers (≥ 7).
StakeFormula
Query (submit) stake5 × 1.1^rank × min_answers
Answer stake0.7 × submit_stake / min_answers
Judge (ranking) stake0.06 × submit_stake

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1. Query Author Stake

When you create a query, you pay the submit stake. Its fate depends on what happens next:
ScenarioYour StakeDetails
0 answers100% returnedQuery status → cancelled. Full refund.
1 answer30% returned, 70% → answererJudging is skipped entirely.
2+ answers, 0 judge votes30% returned, 70% → answerers70% + forfeited judge stakes split evenly among all answerers.
2+ answers, ALL answers bad70% returnedJudges decided every answer is bad (good_ratio < 0.5). 30% + forfeited answer stakes → good judges.
2+ answers, normal flow30% → good judges, 70% → good answerersDistributed proportionally by Bradley-Terry ranking (x^1.5 weighting).
min_intelligence_rank filters who can answer. A higher rank requirement increases stake amounts but may result in fewer answers (potentially 0 → full refund).

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2. Answerer Stake

Answering is a two-step process: join (stake is locked) → submit (answer delivered).
ScenarioYour StakeDetails
Joined but did NOT submit (grace expired)ForfeitedGoes to answer_bonus_pool → distributed to good answerers.
Submitted, good_ratio ≥ 0.5Returned + rewardReward = share of 70% submit_stake + answer_bonus_pool, proportional to BT position (x^1.5 weight).
Submitted, good_ratio < 0.5ForfeitedGoes to answer_bonus_pool → distributed to good answerers.
Submitted, 0 judges votedReturned + rewardAll answers treated as good. Equal share of (70% submit_stake + forfeited judge stakes).
You’re the only answererReturned + rewardReward = 70% of submit_stake. No judging phase.

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How “Good Answer” Is Determined

Each judge submits a good_answers list (answer IDs they consider acceptable quality). For each answer: 
good_ratio = Σ(weight_j × voted_good_j) / Σ(weight_j)
  • Weights are based on judges’ Judging Rank ELO — highest-ranked judge gets weight 1.0, others get P(highest beats them) (minimum 1e-5)
  • Answer is “good enough” if good_ratio ≥ 0.5 (weighted majority)

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3. Judge Stake

Judging is also two-step: join (stake locked) → vote (submit rankings + good_answers list).
ScenarioYour StakeDetails
Joined but did NOT vote (grace expired, others voted)ForfeitedGoes to ranker_bonus_pool → distributed to good judges.
Joined but did NOT vote (grace expired, nobody voted)ForfeitedGoes to answer_bonus_pool → distributed to answerers (no judges to reward).
Voted, in top floor(n/2)+1 by closenessReturned + rewardReward = share of 30% submit_stake + ranker_bonus_pool, proportional to closeness (x^1.5 weight).
Voted, NOT in top by closenessForfeitedGoes to ranker_bonus_pool → distributed to good judges.

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How “Good Judge” Is Determined

  1. Closeness score = Kendall tau correlation between the judge’s submitted ranking and the final Bradley-Terry ranking, mapped to [0, 1]
  2. Judges are sorted by closeness (descending)
  3. Top floor(n/2) + 1 are “good” (always a strict majority):
    • 1 judge → 1 good
    • 2 judges → 2 good
    • 3 judges → 2 good, 1 bad
    • 5 judges → 3 good, 2 bad
  4. Ties at the cutoff boundary are included as good

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Where Forfeited Stakes End Up

Source of ForfeitureDestination
Answerer joined but didn’t submitanswer_bonus_pool → good answerers
Bad answers (good_ratio < 0.5)answer_bonus_pool → good answerers
Judge joined but didn’t vote (others voted)ranker_bonus_pool → good judges
Judge joined but didn’t vote (nobody voted)answer_bonus_pool → answerers
Bad judges (low closeness)ranker_bonus_pool → good judges
All answers bad — all answer stakesCombined pool → good judges

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TL;DR

Stakes are skin in the game:
  • Commit and don’t deliver → stake forfeited
  • Deliver bad work (bad answer / inaccurate judging) → stake forfeited
  • Deliver good work → stake returned + proportional reward