extract: 2026-03-24-gg-research-futarchy-vs-grants-council-optimism-experiment

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

domains/internet-finance/futarchy-excels-at-relative-selection-but-fails-at-absolute-prediction-because-ordinal-ranking-works-while-cardinal-estimation-requires-calibration.md

@@ -59,6 +59,12 @@ Ranger Finance case shows futarchy can succeed at ordinal selection (this projec
 
 Hurupay had $7.2M/month transaction volume and $500K+ monthly revenue but failed to raise $3M. The market rejection is interpretively ambiguous: either (A) correct valuation assessment (mechanism working) or (B) platform reputation contamination from prior Trove/Ranger failures (mechanism producing noise). Without controls, we cannot distinguish quality signal from sentiment contagion, revealing a fundamental limitation in interpreting futarchy selection outcomes.
 
+### Additional Evidence (extend)
+*Source: [[2026-03-24-gg-research-futarchy-vs-grants-council-optimism-experiment]] | Added: 2026-03-24*
+
+The Optimism comparison adds the EV vs. variance dimension: futarchy's relative selection advantage (+$32.5M aggregate TVL) held despite 8x absolute prediction overshoot. The selection quality (which projects to fund) was superior even when the prediction quality (how much TVL they would generate) was catastrophically wrong. This suggests the relative selection mechanism is robust to calibration failures.
+
+
 
 
 Relevant Notes:

domains/internet-finance/futarchy-variance-creates-portfolio-problem-because-mechanism-selects-both-top-performers-and-worst-performers-simultaneously.md

@@ -38,6 +38,12 @@ The variance pattern also interacts with the prediction accuracy failure: market
 
 Trove Markets was one of 6 ICOs in MetaDAO's Q4 2025 success quarter. The same selection mechanism that produced successful raises also selected a project that crashed 95-98% and was later identified as fraud, confirming the variance problem extends to fraud detection, not just performance variance.
 
+### Additional Evidence (confirm)
+*Source: [[2026-03-24-gg-research-futarchy-vs-grants-council-optimism-experiment]] | Added: 2026-03-24*
+
+Optimism experiment empirically confirmed this: futarchy's divergent picks included both the top performer (Balancer & Beets, +$27.8M TVL) and the worst performer, while Grants Council showed consistent mid-range outcomes. The variance is not a bug but a structural feature of the mechanism's risk profile.
+
+
 
 Relevant Notes:
 - Living Capital vehicles pair Living Agent domain expertise with futarchy-governed investment to direct capital toward crucial innovations.md

domains/internet-finance/play-money-futarchy-attracts-participation-but-produces-uncalibrated-predictions-because-absence-of-downside-risk-removes-selection-pressure.md

@@ -35,6 +35,12 @@ Play-money futarchy fails because there's no downside risk - people participate
 
 ---
 
+### Additional Evidence (confirm)
+*Source: [[2026-03-24-gg-research-futarchy-vs-grants-council-optimism-experiment]] | Added: 2026-03-24*
+
+Optimism experiment used play-money (Butter platform) and produced 8x prediction overshoot, confirming that absence of real stakes inflates prediction inaccuracy. However, the selection quality (which projects to fund) still outperformed committee selection on aggregate TVL, suggesting play-money can work for relative ranking even when absolute predictions fail.
+
+
 Relevant Notes:
 - futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md
 - speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md

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inbox/queue/2026-03-24-gg-research-futarchy-vs-grants-council-optimism-experiment.md

@@ -7,9 +7,13 @@ date: 2026-03-24
 domain: internet-finance
 secondary_domains: [collective-intelligence]
 format: analysis
-status: unprocessed
+status: enrichment
 priority: high
 tags: [optimism, futarchy, grants, committee-selection, comparative-governance, empirical]
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+processed_date: 2026-03-24
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 ## Content
@@ -60,3 +64,13 @@ Note: Source URL accessibility not confirmed by research agent; content synthesi
 PRIMARY CONNECTION: [[futarchy-variance-creates-portfolio-problem-because-mechanism-selects-both-top-performers-and-worst-performers-simultaneously]]
 WHY ARCHIVED: Provides the EV vs. variance framing for the Optimism comparison that converts the empirical data into a design principle. The "futarchy favored high-risk/high-reward; committee favored consistency" framing is the canonical distillation of the experiment's mechanism design lesson.
 EXTRACTION HINT: Focus on the EV vs. variance distinction as a design principle, not just as an empirical finding. The claim should be: the mechanism choice between futarchy and committee governance should be made based on the allocator's objective function (maximize EV vs. minimize variance), and the Optimism experiment provides empirical support for this design principle.
+
+
+## Key Facts
+- Optimism v1 futarchy experiment ran March-June 2025 with 84-day measurement window
+- Futarchy selected projects achieved ~$32.5M TVL advantage over Grants Council selections in aggregate
+- Both mechanisms selected Rocket Pool and SuperForm (2 overlapping picks)
+- Futarchy's top performer was Balancer & Beets (+$27.8M TVL)
+- Grants Council's divergent picks were Extra Finance, Gyroscope, and Reservoir
+- 45% of projects didn't disclose plans to forecasters in the Optimism experiment
+- Prediction markets overshot actual TVL by 8x in the Optimism experiment