extract: 2026-03-22-fed-research-kalshi-cpi-prediction-accuracy
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@ -7,9 +7,12 @@ date: 2026-03-16
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domain: internet-finance
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secondary_domains: []
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format: article
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status: unprocessed
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status: enrichment
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priority: medium
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tags: [prediction-markets, kalshi, federal-reserve, cpi, accuracy, academic, markets-beat-consensus, macro-forecasting]
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processed_by: rio
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processed_date: 2026-03-22
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extraction_model: "anthropic/claude-sonnet-4.5"
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## Content
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@ -56,3 +59,12 @@ A Federal Reserve Board paper (authors: Diercks, Katz, Wright) published March 2
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PRIMARY CONNECTION: [[speculative markets aggregate information more accurately than expert consensus or voting systems]]
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WHY ARCHIVED: Federal Reserve institutional validation of real-money prediction market accuracy; complements the Mellers academic literature and rounds out the evidence base for Belief #1's grounding claims
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EXTRACTION HINT: Archive as supporting evidence for the prediction markets accuracy claim, scoped to "structured macroeconomic event prediction." The FOMC-day perfect match finding is the most archivable specific claim. Note it doesn't address financial selection.
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## Key Facts
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- Federal Reserve Board published FEDS paper by Diercks, Katz, Wright in March 2026 evaluating Kalshi prediction market accuracy
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- Kalshi markets showed statistically significant improvement over Bloomberg consensus for headline CPI prediction
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- Kalshi markets achieved parity with Bloomberg consensus for core CPI and unemployment forecasting
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- Kalshi perfectly matched realized fed funds rate on the day before every FOMC meeting since 2022
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- Fed paper published same day as CFTC ANPRM (March 16, 2026)
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- Good Judgment Project superforecasters reportedly outperformed futures markets for Fed policy predictions by 66% (FT, July 2024)
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