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..516c2d99 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
@@ -33,6 +33,12 @@ Critical caveat: This was play-money, which may have inverted normal advantages.
 ## Challenges
 Play-money structure is the primary confound—Badge Holders may have treated the experiment less seriously than traders seeking to prove skill. Real-money markets might show different expertise advantages. Sample size for Badge Holder cohort not disclosed. The 84-day outcome window may have been too short for expert knowledge advantages to manifest.
 
+
+### Additional Evidence (confirm)
+*Source: [[2025-06-00-panews-futarchy-governance-weapons]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
+
+Optimism's March 2025 experiment provides strong confirmation: only 4 of 20 top forecasters held OP governance credentials, and Badge Holders (governance experts with deep Optimism knowledge) had the lowest win rates. High-frequency traders dominated rankings, with the top performer executing 406 transactions in 3 days. This directly confirms that trading skill and activity level outperformed domain expertise in the futarchy market. Additionally, the 6-step on-chain interaction requirement created a technical barrier that may have excluded less crypto-sophisticated domain experts, further skewing participation toward traders.
+
 ---
 
 Relevant Notes:
diff --git a/domains/internet-finance/futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md b/domains/internet-finance/futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md
index cea44c3f..ab09879e 100644
--- a/domains/internet-finance/futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md	
+++ b/domains/internet-finance/futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md	
@@ -34,6 +34,12 @@ MycoRealms implementation reveals operational friction points: monthly $10,000 a
 
 Optimism futarchy achieved 430 active forecasters and 88.6% first-time governance participants by using play money, demonstrating that removing capital requirements can dramatically lower participation barriers. However, this came at the cost of prediction accuracy (8x overshoot on magnitude estimates), revealing a new friction: the play-money vs real-money tradeoff. Play money enables permissionless participation but sacrifices calibration; real money provides calibration but creates regulatory and capital barriers. This suggests futarchy adoption faces a structural dilemma between accessibility and accuracy that liquidity requirements alone don't capture. The tradeoff is not merely about quantity of liquidity but the fundamental difference between incentive structures that attract participants vs incentive structures that produce accurate predictions.
 
+
+### Additional Evidence (extend)
+*Source: [[2025-06-00-panews-futarchy-governance-weapons]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
+
+Optimism's March 2025 experiment quantified UX friction more precisely than previous documentation: single bets required SIX separate on-chain interactions, contributing to only 19% conversion from visitors to active participants (2,262 visitors → 428 participants). This is substantially worse than the general complexity concerns previously documented. Additionally, 41% of participants joined only in the final three days, suggesting the friction barrier delayed participation until urgency overcame complexity costs. The 6-step interaction requirement creates a technical barrier that may exclude less crypto-sophisticated participants, further skewing participation toward high-frequency traders.
+
 ---
 
 Relevant Notes:
diff --git a/domains/internet-finance/futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders.md b/domains/internet-finance/futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders.md
index d45720ed..ba7c74a5 100644
--- a/domains/internet-finance/futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders.md	
+++ b/domains/internet-finance/futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders.md	
@@ -15,6 +15,12 @@ Consider a concrete scenario. If an attacker pushes conditional PASS tokens abov
 
 This self-correcting property distinguishes futarchy from simpler governance mechanisms like token voting, where wealthy actors can buy outcomes directly. Since [[ownership alignment turns network effects from extractive to generative]], the futarchy mechanism extends this alignment principle to decision-making itself: those who improve decision quality profit, those who distort it lose. Since [[the alignment problem dissolves when human values are continuously woven into the system rather than specified in advance]], futarchy provides one concrete mechanism for continuous value-weaving through market-based truth-seeking.
 
+
+### Additional Evidence (challenge)
+*Source: [[2025-06-00-panews-futarchy-governance-weapons]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
+
+The self-referential paradox in futarchy creates a new manipulation vector not covered by the defender-profit mechanism: coordinated early betting can create self-fulfilling prophecies by directing resources to projects that then succeed because they received resources. This is not 'manipulation' in the traditional sense (no one is lying about beliefs), but it does mean market outcomes can be influenced by coordination rather than information revelation. Optimism's experiment showed 41% of participants joining in final three days and 41% hedging to avoid losses, suggesting strategic positioning rather than pure information revelation. The manipulation-resistance claim may need to distinguish between adversarial manipulation (which defender profits address) and coordination-based influence (which the self-referential dynamic enables).
+
 ---
 
 Relevant Notes:
diff --git a/domains/internet-finance/futarchy-functions-as-gamified-consensus-mechanism-not-rational-optimization-tool.md b/domains/internet-finance/futarchy-functions-as-gamified-consensus-mechanism-not-rational-optimization-tool.md
new file mode 100644
index 00000000..b6e66235
--- /dev/null
+++ b/domains/internet-finance/futarchy-functions-as-gamified-consensus-mechanism-not-rational-optimization-tool.md
@@ -0,0 +1,62 @@
+---
+type: claim
+domain: internet-finance
+description: "Value derives from engagement quality and cooperative energy channeling rather than prediction accuracy"
+confidence: speculative
+source: "PANews analysis of Optimism futarchy experiment, March 2025"
+created: 2026-03-11
+secondary_domains: [collective-intelligence]
+---
+
+# Futarchy may function primarily as a gamified consensus mechanism rather than a rational optimization tool, deriving value from engagement quality not prediction accuracy
+
+The traditional framing of futarchy emphasizes rational decision-making through market aggregation of information. However, evidence from the Optimism implementation suggests futarchy's primary value may lie in channeling speculative energy toward cooperative outcomes—functioning as "deeply gamified consensus formation" rather than pure rationality.
+
+## The Engagement Mechanism
+
+Optimism's March 2025 experiment showed:
+- 2,262 visitors, 19% conversion to active participation (428 active participants)
+- Average 13.6 transactions per person
+- 41% of participants joined in final three days
+- High-frequency trading dominated (top performer: 406 transactions in 3 days)
+
+This pattern resembles game mechanics more than deliberative decision-making. Participants were not primarily analyzing project fundamentals—they were engaging in a competitive prediction game with real stakes.
+
+## The "Regen" Hypothesis
+
+The source suggests successful DAO governance might require activating "Regen" (regenerative) impulses within speculative communities rather than replacing speculation with rationality. If true, futarchy's value proposition shifts from "better decisions through market wisdom" to "better engagement through aligned incentives."
+
+This reframing has significant implications:
+- Success metric shifts from prediction accuracy to participant engagement quality
+- Design optimization focuses on game mechanics (stakes, timing, feedback loops) rather than information aggregation
+- The mechanism works by channeling existing speculative behavior, not by replacing it with rational analysis
+
+## Tyler Cowen's Critique
+
+Tyler Cowen's observation that "values and beliefs can't be separated so easily" points to a deeper issue: if futarchy participants are motivated by speculative gain rather than truth-seeking, the mechanism may aggregate strategic positioning rather than genuine beliefs about outcomes. In this view, futarchy succeeds not by extracting hidden information but by aligning speculative incentives with cooperative outcomes.
+
+## Evidence Gaps
+
+This claim remains speculative because:
+- No controlled comparison of futarchy as "rational tool" vs "engagement mechanism"
+- The Optimism experiment showed poor prediction accuracy (futarchy picks declined while control picks grew), but this single case cannot distinguish mechanism failure from implementation issues
+- No measurement of participant motivation (truth-seeking vs game-playing vs financial speculation)
+
+## Challenges
+
+If futarchy is primarily an engagement mechanism, it faces competition from other gamified governance systems (quadratic voting, conviction voting, token-weighted voting with incentives). The question becomes: does futarchy's specific game design produce better cooperative outcomes than alternatives?
+
+The Optimism results suggest futarchy may not outperform traditional grant committees on outcome quality, which challenges both the "rational optimization" and "engagement mechanism" framings.
+
+---
+
+Relevant Notes:
+- [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements]]
+- [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds]]
+- [[optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles]]
+- [[collective intelligence requires diversity as a structural precondition not a moral preference]]
+
+Topics:
+- [[domains/internet-finance/_map]]
+- [[foundations/collective-intelligence/_map]]
+- [[core/mechanisms/_map]]
diff --git a/domains/internet-finance/futarchy-information-asymmetry-undermines-market-efficiency-when-45-percent-of-projects-dont-disclose-plans.md b/domains/internet-finance/futarchy-information-asymmetry-undermines-market-efficiency-when-45-percent-of-projects-dont-disclose-plans.md
new file mode 100644
index 00000000..70669416
--- /dev/null
+++ b/domains/internet-finance/futarchy-information-asymmetry-undermines-market-efficiency-when-45-percent-of-projects-dont-disclose-plans.md
@@ -0,0 +1,58 @@
+---
+type: claim
+domain: internet-finance
+description: "Markets cannot aggregate information that participants don't have access to"
+confidence: likely
+source: "PANews analysis of Optimism futarchy experiment, March 2025"
+created: 2026-03-11
+---
+
+# Futarchy information asymmetry undermines market efficiency when 45 percent of projects don't disclose plans
+
+Optimism's March 2025 futarchy experiment revealed that 45% of projects did not disclose their plans, creating severe information asymmetry that prevented markets from functioning as intended. This directly challenges futarchy's theoretical foundation that markets aggregate distributed information.
+
+## The Information Problem
+
+Futarchy theory assumes participants have access to relevant information and trade based on their beliefs about outcomes. But if nearly half of projects don't disclose basic plans:
+- Participants cannot evaluate project quality or likelihood of success
+- Trading becomes speculation on popularity rather than informed prediction
+- The market cannot aggregate information that doesn't exist in the participant pool
+
+## Evidence from Optimism
+
+- 45% of projects didn't disclose plans
+- All futarchy-selected projects declined $15.8M in TVL collectively
+- Grants Council picks (with full information access) grew: Extra Finance +$8M, QiDAO +$10M
+- Only 4 of 20 top forecasters held OP governance credentials
+
+This suggests the futarchy market was selecting based on incomplete information, while the Grants Council (with direct access to project teams and full disclosure) made better decisions.
+
+## Comparison to Traditional Prediction Markets
+
+Polymarket and other prediction markets work because the information being predicted is public (election polls, debate performance, policy announcements). Polymarket vindicated prediction markets over polling in 2024 US election because participants had access to the same information as pollsters, plus additional distributed knowledge.
+
+Futarchy for grant allocation faces the opposite problem: the most relevant information (project plans, team capability, technical feasibility) is private and unevenly distributed. If projects don't disclose, the market cannot function.
+
+## Design Implications
+
+This suggests futarchy for resource allocation requires mandatory disclosure mechanisms:
+- Projects seeking funding must publish detailed plans
+- Information must be standardized and verifiable
+- Disclosure must happen before market opens, not during trading
+
+Without these safeguards, futarchy markets may systematically underperform traditional evaluation mechanisms that have direct information access (grant committees, venture capital due diligence).
+
+## Relationship to Living Capital
+
+[[Living Capital information disclosure uses NDA-bound diligence experts who produce public investment memos creating a clean team architecture where the market builds trust in analysts over time]] addresses this problem by separating information gathering (expert analysts with NDA access) from decision-making (futarchy markets trading on public memos). This architecture preserves futarchy's decision mechanism while solving the information asymmetry problem.
+
+---
+
+Relevant Notes:
+- [[Living Capital information disclosure uses NDA-bound diligence experts who produce public investment memos creating a clean team architecture where the market builds trust in analysts over time]]
+- [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds]]
+
+Topics:
+- [[domains/internet-finance/_map]]
+- [[core/mechanisms/_map]]
+- [[core/living-capital/_map]]
diff --git a/domains/internet-finance/futarchy-self-referential-dynamic-makes-it-categorically-different-from-pure-prediction-markets.md b/domains/internet-finance/futarchy-self-referential-dynamic-makes-it-categorically-different-from-pure-prediction-markets.md
new file mode 100644
index 00000000..c135b730
--- /dev/null
+++ b/domains/internet-finance/futarchy-self-referential-dynamic-makes-it-categorically-different-from-pure-prediction-markets.md
@@ -0,0 +1,46 @@
+---
+type: claim
+domain: internet-finance
+description: "Resource allocation creates feedback loops between predictions and outcomes that don't exist in external prediction markets"
+confidence: experimental
+source: "PANews analysis of Optimism futarchy experiment, March 2025"
+created: 2026-03-11
+---
+
+# Futarchy's self-referential dynamic makes it categorically different from pure prediction markets requiring separate accuracy benchmarks
+
+Futarchy markets face a fundamental challenge that external prediction markets like Polymarket do not: the predictions directly allocate the resources that affect the outcomes being predicted. This creates self-referential dynamics where "everyone bets on a certain project, and resources are given to it, so it naturally has a better chance of success."
+
+This differs fundamentally from pure prediction markets where the market observes an external process (like an election) without influencing it. In futarchy, the prediction IS the intervention.
+
+## Evidence from Optimism Experiment
+
+Optimism's March 2025 futarchy experiment demonstrated these dynamics:
+- 2,262 visitors with 19% conversion to active participation
+- 5,898 total transactions across the experiment
+- 41% of participants joined in final three days, suggesting herding behavior
+- High-frequency traders dominated (top performer: 406 transactions in 3 days)
+- 41% hedged positions in final days to avoid losses
+
+Critically, the self-referential nature created conflicting incentives: following the crowd ensures popular projects get funded (reducing personal risk) but limits returns, while betting differently risks being wrong about both the prediction AND the resource allocation effect.
+
+## The Feedback Loop Problem
+
+Unlike Polymarket predicting elections (where the market has negligible influence on voter behavior), futarchy markets create "self-fulfilling or self-defeating cycles." A project that attracts early betting gets more resources, which improves its chances, which validates the early bets. This is not a bug in market design—it's an inherent property of using markets to allocate resources rather than just predict outcomes.
+
+This suggests futarchy accuracy should be benchmarked against other resource allocation mechanisms (grants committees, venture capital), not against external prediction markets. The relevant question is not "did the market predict correctly?" but "did the market allocate resources better than alternatives?"
+
+## Challenges
+
+The Optimism experiment showed mixed results: all futarchy-selected projects declined $15.8M in TVL collectively, while Grants Council picks grew (Extra Finance: +$8M; QiDAO: +$10M). However, this single experiment cannot isolate self-referential effects from other factors (market design, participant quality, project quality, external market conditions).
+
+---
+
+Relevant Notes:
+- [[futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders]]
+- [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds]]
+- [[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]]
+
+Topics:
+- [[domains/internet-finance/_map]]
+- [[core/mechanisms/_map]]
diff --git a/domains/internet-finance/futarchy-ux-friction-creates-participation-barrier-requiring-six-onchain-interactions-per-bet.md b/domains/internet-finance/futarchy-ux-friction-creates-participation-barrier-requiring-six-onchain-interactions-per-bet.md
new file mode 100644
index 00000000..ece54660
--- /dev/null
+++ b/domains/internet-finance/futarchy-ux-friction-creates-participation-barrier-requiring-six-onchain-interactions-per-bet.md
@@ -0,0 +1,53 @@
+---
+type: claim
+domain: internet-finance
+description: "Current implementations require complex multi-step processes that limit participation to sophisticated users"
+confidence: likely
+source: "PANews analysis of Optimism futarchy experiment, March 2025"
+created: 2026-03-11
+---
+
+# Futarchy UX friction creates significant participation barriers with single bets requiring six on-chain interactions
+
+Optimism's March 2025 futarchy experiment revealed that placing a single bet required SIX separate on-chain interactions, creating massive UX friction that limited participation and favored high-frequency traders over casual participants.
+
+## The Participation Funnel
+
+- 2,262 visitors to the futarchy interface
+- Only 19% conversion to active participation (428 participants)
+- 41% of participants joined only in the final three days
+- High-frequency traders dominated rankings (top performer: 406 transactions in 3 days)
+
+This conversion rate and participation pattern suggests the mechanism selected for technical sophistication and commitment rather than domain expertise or prediction accuracy.
+
+## The Six-Step Problem
+
+While the source doesn't detail all six interactions, the complexity barrier is clear from the outcomes:
+- Only 4 of 20 top forecasters held OP governance credentials (suggesting governance experts were excluded by UX friction)
+- Badge Holders (governance experts) had the lowest win rates
+- High-frequency traders dominated, suggesting the mechanism rewarded trading skill over domain knowledge
+
+This directly contradicts futarchy's theoretical promise of aggregating distributed knowledge—if the UX barrier excludes domain experts, the market cannot access their information.
+
+## Comparison to Existing Implementations
+
+[[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]] operates on Solana with simpler interaction patterns, but still faces liquidity and complexity challenges documented in [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements]].
+
+The Optimism experiment suggests these friction costs are higher than previously documented, particularly for non-crypto-native participants.
+
+## Design Implications
+
+If futarchy requires six on-chain interactions per bet, it cannot function as a general-purpose governance mechanism for communities without high crypto-literacy. This creates a fundamental tension:
+- Simplifying to one-click participation may sacrifice the conditional market structure that makes futarchy theoretically sound
+- Maintaining theoretical purity excludes the broad participation needed for information aggregation
+
+---
+
+Relevant Notes:
+- [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements]]
+- [[futarchy implementations must simplify theoretical mechanisms for production adoption because original designs include impractical elements that academics tolerate but users reject]]
+- [[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]]
+
+Topics:
+- [[domains/internet-finance/_map]]
+- [[core/mechanisms/_map]]
diff --git a/domains/internet-finance/speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md b/domains/internet-finance/speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md
index 5164cd99..95d0462d 100644
--- a/domains/internet-finance/speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md	
+++ b/domains/internet-finance/speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md	
@@ -26,6 +26,12 @@ The selection effect also relates to [[trial and error is the only coordination
 
 Optimism futarchy experiment reveals the selection effect works for ordinal ranking but fails for cardinal estimation. Markets correctly identified which projects would outperform alternatives (futarchy selections beat Grants Council by $32.5M), but catastrophically failed at magnitude prediction (8x overshoot: $239M predicted vs $31M actual). This suggests the incentive/selection mechanism produces comparative advantage assessment ("this will outperform that") rather than absolute forecasting accuracy. Additionally, Badge Holders (domain experts) had the LOWEST win rates, indicating the selection effect filters for trading skill and calibration ability, not domain knowledge—a different kind of 'information' than typically assumed. The mechanism aggregates trader wisdom (risk management, position sizing, timing) rather than domain wisdom (technical assessment, ecosystem understanding).
 
+
+### Additional Evidence (challenge)
+*Source: [[2025-06-00-panews-futarchy-governance-weapons]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
+
+Optimism's futarchy experiment showed that selection effects may favor trading skill over domain knowledge, potentially undermining information aggregation. Only 4 of 20 top forecasters held OP governance credentials, and Badge Holders (governance experts) had the lowest win rates. High-frequency traders dominated (top performer: 406 transactions in 3 days). This suggests the mechanism selected for technical trading ability rather than domain expertise, which challenges the claim that selection effects improve information quality. The self-referential nature of futarchy (where predictions allocate resources that affect outcomes) may create different selection pressures than pure prediction markets, where selection effects reward accurate beliefs about external events rather than trading skill or ability to coordinate early bets.
+
 ---
 
 Relevant Notes:
diff --git a/entities/internet-finance/metadao.md b/entities/internet-finance/metadao.md
index 9f0ae560..18826438 100644
--- a/entities/internet-finance/metadao.md
+++ b/entities/internet-finance/metadao.md
@@ -54,6 +54,7 @@ The futarchy governance protocol on Solana. Implements decision markets through
 - **2026-03** — Pine Analytics Q4 2025 quarterly report published
 
 - **2024-02-18** — [[metadao-otc-trade-pantera-capital]] failed: Pantera Capital's $50,000 OTC purchase proposal rejected by futarchy markets
+- **2025-03-00** — Optimism futarchy experiment provided comparative data point: Optimism's implementation required 6 on-chain interactions per bet (vs MetaDAO's simpler Autocrat interface), achieved 19% visitor-to-participant conversion, and showed futarchy-selected projects underperforming traditional grant committees. This suggests MetaDAO's simplified implementation may have better UX but similar fundamental challenges around information asymmetry and self-referential dynamics.
 ## Key Decisions
 | Date | Proposal | Proposer | Category | Outcome |
 |------|----------|----------|----------|---------|
diff --git a/inbox/archive/2025-06-00-panews-futarchy-governance-weapons.md b/inbox/archive/2025-06-00-panews-futarchy-governance-weapons.md
index 1895f46b..b6d289f9 100644
--- a/inbox/archive/2025-06-00-panews-futarchy-governance-weapons.md
+++ b/inbox/archive/2025-06-00-panews-futarchy-governance-weapons.md
@@ -7,9 +7,15 @@ date: 2025-06-00
 domain: internet-finance
 secondary_domains: [collective-intelligence]
 format: article
-status: unprocessed
+status: processed
 priority: high
 tags: [futarchy, prediction-markets, governance, optimism, self-referential, gamification]
+processed_by: rio
+processed_date: 2026-03-11
+claims_extracted: ["futarchy-self-referential-dynamic-makes-it-categorically-different-from-pure-prediction-markets.md", "futarchy-functions-as-gamified-consensus-mechanism-not-rational-optimization-tool.md", "futarchy-ux-friction-creates-participation-barrier-requiring-six-onchain-interactions-per-bet.md", "futarchy-information-asymmetry-undermines-market-efficiency-when-45-percent-of-projects-dont-disclose-plans.md"]
+enrichments_applied: ["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", "futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders.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"
+extraction_notes: "This source provides the most detailed empirical analysis of futarchy governance to date. The self-referential paradox is the key theoretical insight—it's fundamentally different from pure prediction markets and requires separate evaluation criteria. The Optimism experiment's negative results (futarchy picks underperformed traditional committees) are significant but not conclusive given implementation issues (UX friction, information asymmetry, single experiment). The 'gamified consensus' framing is speculative but important—it suggests futarchy's value may lie in engagement rather than accuracy, which would completely reframe the mechanism's purpose. Tyler Cowen's critique about values/beliefs separation is philosophically important but not empirically tested here."
 ---
 
 ## Content
@@ -53,3 +59,19 @@ Unlike pure prediction markets (Polymarket predicting elections), futarchy's pre
 PRIMARY CONNECTION: [[futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders]]
 WHY ARCHIVED: Identifies the self-referential paradox — a fundamental challenge to futarchy's theoretical foundations not currently captured in KB
 EXTRACTION HINT: Focus on the self-referential dynamic as a NEW challenge distinct from manipulation resistance — this is about the feedback loop between prediction and outcome, not about bad actors
+
+
+## Key Facts
+- Optimism futarchy experiment: 2,262 visitors, 19% conversion rate (428 active participants)
+- 5,898 total transactions across experiment
+- 41% of participants joined in final three days
+- Top performer: 406 transactions in 3 days
+- Average 13.6 transactions per person
+- All futarchy-selected projects: -$15.8M TVL collectively
+- Extra Finance (Grants Council pick): +$8M TVL
+- QiDAO (Grants Council pick): +$10M TVL
+- Only 4 of 20 top forecasters held OP governance credentials
+- Badge Holders had lowest win rates
+- 45% of projects didn't disclose plans
+- Single bet required 6 on-chain interactions
+- 41% hedged positions in final days