extract: 2026-03-22-atanasov-mellers-calibration-selection-vs-information-acquisition

Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>

domains/internet-finance/Polymarket vindicated prediction markets over polling in 2024 US election.md

@@ -48,6 +48,12 @@ The very success of prediction markets in the 2024 election triggered the state
 
 ---
 
+### Additional Evidence (extend)
+*Source: [[2026-03-22-atanasov-mellers-calibration-selection-vs-information-acquisition]] | Added: 2026-03-22*
+
+The Atanasov/Mellers framework suggests this vindication may be domain-specific. Prediction markets outperformed polls in 2024 election, but GJP research shows algorithm-weighted polls can match market accuracy for geopolitical events with public information. The election result doesn't distinguish whether markets won through better calibration-selection (Mechanism A, replicable by polls) or through information-acquisition advantages (Mechanism B, not replicable). If markets succeeded primarily through Mechanism A, sophisticated poll aggregation could have matched them.
+
+
 Relevant Notes:
 - [[futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders]] — theoretical property validated by Polymarket's performance
 - [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]] — shows mechanism robustness even at small scale

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inbox/queue/2026-03-22-atanasov-mellers-calibration-selection-vs-information-acquisition.md

@@ -7,9 +7,13 @@ date: 2026-03-22
 domain: internet-finance
 secondary_domains: [ai-alignment, collective-intelligence]
 format: article
-status: unprocessed
+status: enrichment
 priority: high
 tags: [prediction-markets, superforecasters, epistemic-mechanism, skin-in-the-game, belief-1, disconfirmation, academic, mechanism-design]
+processed_by: rio
+processed_date: 2026-03-22
+enrichments_applied: ["Polymarket vindicated prediction markets over polling in 2024 US election.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -77,3 +81,12 @@ Financial markets up-weight skilled participants via earnings. Calibration algor
 PRIMARY CONNECTION: [[speculative markets aggregate information more accurately than expert consensus or voting systems]]
 WHY ARCHIVED: Resolves the Session 8 challenge to Belief #1; establishes the two-mechanism distinction that reframes multiple existing claims about futarchy's epistemic properties
 EXTRACTION HINT: The claim to extract is the two-mechanism distinction, not just a summary of the academic findings. Focus on Mechanism A (calibration-selection, replicable by polls) vs. Mechanism B (information-acquisition, not replicable). The finding is architecturally important — it should affect multiple existing claims as enrichments.
+
+
+## Key Facts
+- GJP beat all IARPA ACE research teams by 35-72% (Brier score)
+- GJP beat intelligence community's internal prediction market by 25-30%
+- Top superforecaster Year 2 Brier score: 0.14 vs. random guessing 0.53
+- Year-to-year top forecaster correlation: 0.65
+- GJP reportedly outperformed futures markets by 66% at Fed policy inflection points (Financial Times, July 2024)
+- Kalshi real-money markets beat Bloomberg consensus for headline CPI and matched realized fed funds rate on FOMC day (Fed FEDS paper, Diercks/Katz/Wright, 2026)