From 2174c95819593922600e03e77f7d6354b6778890 Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Sat, 21 Mar 2026 22:30:49 +0000 Subject: [PATCH] extract: 2026-03-21-academic-prediction-market-failure-modes Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70> --- ...requires-calibration-not-just-knowledge.md | 6 +++ ...nance-outcomes-has-inherent-uncertainty.md | 6 +++ ...demic-prediction-market-failure-modes.json | 46 +++++++++++++++++++ ...cademic-prediction-market-failure-modes.md | 16 ++++++- 4 files changed, 73 insertions(+), 1 deletion(-) create mode 100644 inbox/queue/.extraction-debug/2026-03-21-academic-prediction-market-failure-modes.json diff --git a/domains/internet-finance/domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge.md b/domains/internet-finance/domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge.md index 4942f826..d2176e3a 100644 --- a/domains/internet-finance/domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge.md +++ b/domains/internet-finance/domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge.md @@ -35,6 +35,12 @@ Play-money structure is the primary confound—Badge Holders may have treated th --- +### Additional Evidence (confirm) +*Source: [[2026-03-21-academic-prediction-market-failure-modes]] | Added: 2026-03-21* + +The participation concentration finding (top 50 traders = 70% of volume) supports this by showing that markets are dominated by a small group of highly active traders, suggesting trading skill and activity level matter more than broad domain knowledge distribution. + + Relevant Notes: - [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md]] - [[futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders.md]] diff --git a/domains/internet-finance/futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty.md b/domains/internet-finance/futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty.md index bea4c062..4a14c04f 100644 --- a/domains/internet-finance/futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty.md +++ b/domains/internet-finance/futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty.md @@ -37,6 +37,12 @@ Rio identifies that MetaDAO conditional token markets with leveraged positions f --- +### Additional Evidence (confirm) +*Source: [[2026-03-21-academic-prediction-market-failure-modes]] | Added: 2026-03-21* + +Tetlock (Columbia, 2008) found that liquidity directly affects prediction market efficiency, with thin order books allowing a single trader's opinion to dominate pricing. The LMSR automated market maker was invented by Robin Hanson specifically because thin markets fail—this is an admission baked into the mechanism design itself. + + Relevant Notes: - [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]] - [[MetaDAOs Autocrat program implements futarchy through conditional token markets where proposals create parallel pass and fail universes settled by time-weighted average price over a three-day window]] diff --git a/inbox/queue/.extraction-debug/2026-03-21-academic-prediction-market-failure-modes.json b/inbox/queue/.extraction-debug/2026-03-21-academic-prediction-market-failure-modes.json new file mode 100644 index 00000000..a9b1fc0e --- /dev/null +++ b/inbox/queue/.extraction-debug/2026-03-21-academic-prediction-market-failure-modes.json @@ -0,0 +1,46 @@ +{ + "rejected_claims": [ + { + "filename": "prediction-market-participation-concentrates-in-top-50-traders-approximating-expert-panels-not-crowds.md", + "issues": [ + "missing_attribution_extractor" + ] + }, + { + "filename": "calibrated-self-reported-beliefs-match-prediction-market-accuracy-in-geopolitical-forecasting.md", + "issues": [ + "missing_attribution_extractor" + ] + }, + { + "filename": "futarchy-metric-endogeneity-creates-circular-optimization-when-market-prices-correlate-with-target-metric.md", + "issues": [ + "missing_attribution_extractor" + ] + } + ], + "validation_stats": { + "total": 3, + "kept": 0, + "fixed": 9, + "rejected": 3, + "fixes_applied": [ + "prediction-market-participation-concentrates-in-top-50-traders-approximating-expert-panels-not-crowds.md:set_created:2026-03-21", + "prediction-market-participation-concentrates-in-top-50-traders-approximating-expert-panels-not-crowds.md:stripped_wiki_link:futarchy-is-manipulation-resistant-because-attack-attempts-c", + "prediction-market-participation-concentrates-in-top-50-traders-approximating-expert-panels-not-crowds.md:stripped_wiki_link:speculative-markets-aggregate-information-through-incentive-", + "calibrated-self-reported-beliefs-match-prediction-market-accuracy-in-geopolitical-forecasting.md:set_created:2026-03-21", + "calibrated-self-reported-beliefs-match-prediction-market-accuracy-in-geopolitical-forecasting.md:stripped_wiki_link:speculative-markets-aggregate-information-through-incentive-", + "calibrated-self-reported-beliefs-match-prediction-market-accuracy-in-geopolitical-forecasting.md:stripped_wiki_link:Polymarket-vindicated-prediction-markets-over-polling-in-202", + "futarchy-metric-endogeneity-creates-circular-optimization-when-market-prices-correlate-with-target-metric.md:set_created:2026-03-21", + "futarchy-metric-endogeneity-creates-circular-optimization-when-market-prices-correlate-with-target-metric.md:stripped_wiki_link:futarchy-markets-can-price-cultural-spending-proposals-by-tr", + "futarchy-metric-endogeneity-creates-circular-optimization-when-market-prices-correlate-with-target-metric.md:stripped_wiki_link:coin-price-is-the-fairest-objective-function-for-asset-futar" + ], + "rejections": [ + "prediction-market-participation-concentrates-in-top-50-traders-approximating-expert-panels-not-crowds.md:missing_attribution_extractor", + "calibrated-self-reported-beliefs-match-prediction-market-accuracy-in-geopolitical-forecasting.md:missing_attribution_extractor", + "futarchy-metric-endogeneity-creates-circular-optimization-when-market-prices-correlate-with-target-metric.md:missing_attribution_extractor" + ] + }, + "model": "anthropic/claude-sonnet-4.5", + "date": "2026-03-21" +} \ No newline at end of file diff --git a/inbox/queue/2026-03-21-academic-prediction-market-failure-modes.md b/inbox/queue/2026-03-21-academic-prediction-market-failure-modes.md index 6966d80e..3df7df61 100644 --- a/inbox/queue/2026-03-21-academic-prediction-market-failure-modes.md +++ b/inbox/queue/2026-03-21-academic-prediction-market-failure-modes.md @@ -7,9 +7,13 @@ date: 2026-03-21 domain: internet-finance secondary_domains: [ai-alignment] format: article -status: unprocessed +status: enrichment priority: high tags: [prediction-markets, epistemic-quality, academic, disconfirmation, participation-concentration, liquidity] +processed_by: rio +processed_date: 2026-03-21 +enrichments_applied: ["futarchy-clob-liquidity-fragmentation-creates-wide-spreads-because-pricing-counterfactual-governance-outcomes-has-inherent-uncertainty.md", "domain-expertise-loses-to-trading-skill-in-futarchy-markets-because-prediction-accuracy-requires-calibration-not-just-knowledge.md"] +extraction_model: "anthropic/claude-sonnet-4.5" --- ## Content @@ -82,3 +86,13 @@ Synthesized academic findings on prediction market failure modes (assembled from PRIMARY CONNECTION: "markets beat votes for information aggregation" (Belief 1 grounding claims) WHY ARCHIVED: Assembles the strongest academic case for disconfirmation; provides specific scope conditions under which the belief fails EXTRACTION HINT: Extract separately: (1) concentration finding as scope qualifier, (2) Mellers et al. as direct challenge to skin-in-the-game mechanism, (3) Optimism Season 7 as futarchy-specific failure mode. Don't bundle into one claim — each has different implications and different confidence levels. + + +## Key Facts +- Top 10 most active forecasters account for 44% of prediction market share volume +- Top 50 most active forecasters account for 70% of prediction market share volume +- Kalshi 2024 election accuracy: 78% on less-traded races vs. 93% on high-liquidity markets +- Polymarket 2024 election accuracy: 67% on less-traded races +- Bid-ask spreads on niche prediction markets reached 50%+ +- Optimism Season 7 futarchy-selected projects dropped $15.8M in actual TVL +- MetaDAO co-founder rated futarchy decision quality at 'probably about 80 IQ'