rio: extract from 2025-00-00-frontiers-futarchy-desci-empirical-simulation.md

- Source: inbox/archive/2025-00-00-frontiers-futarchy-desci-empirical-simulation.md
- Domain: internet-finance
- Extracted by: headless extraction cron (worker 5)

Pentagon-Agent: Rio <HEADLESS>

domains/internet-finance/MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md

@@ -23,12 +23,6 @@ This evidence has direct implications for governance design. It suggests that [[
 
 Optimism's futarchy experiment achieved 5,898 total trades from 430 active forecasters (average 13.6 transactions per person) over 21 days, with 88.6% being first-time Optimism governance participants. This suggests futarchy CAN attract substantial engagement when implemented at scale with proper incentives, contradicting the limited-volume pattern observed in MetaDAO. Key differences: Optimism used play money (lower barrier to entry), had institutional backing (Uniswap Foundation co-sponsor), and involved grant selection (clearer stakes) rather than protocol governance decisions. The participation breadth (10 countries, 4 continents, 36 new users/day) suggests the limited-volume finding may be specific to MetaDAO's implementation or use case rather than a structural futarchy limitation.
 
-
-### Additional Evidence (confirm)
-*Source: [[2025-00-00-frontiers-futarchy-desci-empirical-simulation]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
-
-The Frontiers in Blockchain paper's analysis of 13 DeSci DAOs found that most operate below 1 proposal per month—governance cadence too infrequent for continuous futarchy markets to provide advantages. This confirms the MetaDAO pattern: when decisions are uncontested or infrequent, futarchy markets see limited trading because there's no information asymmetry to exploit. The paper notes that "only some DAOs exhibit governance tempo compatible with continuous outcome-based decision processes," directly supporting the claim that low-frequency governance reduces futarchy's value proposition. The VitaDAO simulation further confirms that when information asymmetry is low (expert communities with aligned incentives), futarchy converges to voting outcomes, suggesting minimal trading volume on contested decisions.
-
 ---
 
 Relevant Notes:

domains/internet-finance/coin price is the fairest objective function for asset futarchy.md

@@ -16,12 +16,6 @@ This clarity becomes crucial when combined with [[decision markets make majority
 
 The contrast with other governance domains matters. For government policy futarchy, choosing objective functions remains genuinely difficult—citizens want fairness, prosperity, security, and other goods that trade off. But for asset futarchy, the shared financial interest provides natural alignment. This connects to [[ownership alignment turns network effects from extractive to generative]]—the simple, shared objective function is what enables the alignment.
 
-
-### Additional Evidence (challenge)
-*Source: [[2025-00-00-frontiers-futarchy-desci-empirical-simulation]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
-
-The Frontiers in Blockchain paper argues that KPI-conditional futarchy is more appropriate than asset-price futarchy for contexts where token price is a noisy proxy for organizational success. In DeSci DAOs, tokens are thinly traded and tightly coupled to crypto market sentiment rather than organizational performance. The paper explicitly recommends proposal-specific KPI forecasting (publications, patents, clinical outcomes) instead of token price forecasting because early-stage science organizations have long outcome timelines and low liquidity. This challenges the universality of coin price as the objective function—it may be fair (everyone can participate) but not informative when price is dominated by noise rather than organizational value signals. The distinction matters: fairness and informativeness are separate properties, and the paper demonstrates contexts where they diverge.
-
 ---
 
 Relevant Notes:

domains/internet-finance/futarchy-information-advantage-scales-with-information-asymmetry-converging-to-voting-in-aligned-expert-communities.md

@@ -1,55 +1,52 @@
 ---
 type: claim
 domain: internet-finance
-description: "Futarchy's information-aggregation advantage depends on information asymmetry between participants; in low-asymmetry expert communities it converges to voting outcomes"
+description: "Futarchy's information-aggregation advantage depends on information asymmetry; it converges to voting outcomes in aligned expert communities"
 confidence: experimental
 source: "Frontiers in Blockchain, 'Futarchy in decentralized science: empirical and simulation evidence for outcome-based conditional markets in DeSci DAOs', 2025"
 created: 2026-03-11
 secondary_domains: [collective-intelligence]
-depends_on:
-  - "speculative markets aggregate information through incentive and selection effects not wisdom of crowds"
 ---
 
-# Futarchy's information-aggregation advantage scales with information asymmetry, converging to voting outcomes in aligned expert communities
+# Futarchy's information-aggregation advantage scales with information asymmetry between participants, converging to voting outcomes in aligned expert communities
 
-The core value proposition of futarchy—that markets aggregate information better than voting—depends critically on the degree of information asymmetry among participants. In environments where participants have similar information and aligned incentives, futarchy converges to the same outcomes as conventional voting, adding coordination complexity without improving decision quality.
+Futarchy's core value proposition—that speculative markets aggregate information better than voting—depends critically on the degree of information asymmetry among participants. In contexts where participants have relatively symmetric access to relevant information and shared expertise, futarchy converges to the same outcomes as conventional voting, adding complexity without improving decisions.
 
-## Evidence from VitaDAO Simulation
+Empirical evidence from DeSci DAOs supports this boundary condition. A retrospective simulation of VitaDAO proposals (through April 2025) found that KPI-conditional futarchy markets would have selected the same proposals that conventional token-weighted voting approved. This null result occurred in a context where:
 
-A retrospective simulation of VitaDAO proposals (through April 2025) found that KPI-conditional futarchy markets would have selected the same proposals that passed through conventional token-weighted voting. This is not a failure of futarchy's mechanism—it indicates a success of the voting environment. VitaDAO's governance involves domain experts with shared information about longevity research, creating low information asymmetry about proposal quality and strong mission alignment.
+- Participants are domain experts (longevity science researchers, biotech investors)
+- Information about proposal quality is relatively symmetric (shared scientific knowledge base)
+- Community alignment is high (shared mission around longevity research)
+- Governance tempo is low (~1 proposal/month across most DeSci DAOs)
 
-The paper's analysis of 13 DeSci DAOs (AthenaDAO, BiohackerDAO, CerebrumDAO, CryoDAO, GenomesDAO, HairDAO, HippocratDAO, MoonDAO, PsyDAO, VitaDAO, and others) reveals that most operate below 1 proposal per month—governance cadence too infrequent for continuous market-based decision processes to provide advantages over episodic voting.
+The paper analyzed governance data from 13 DeSci DAOs (AthenaDAO, BiohackerDAO, CerebrumDAO, CryoDAO, GenomesDAO, HairDAO, HippocratDAO, MoonDAO, PsyDAO, VitaDAO, and others) and found that most operate below 1 proposal/month—too infrequent for continuous futarchy to provide value over episodic voting.
 
-## Boundary Condition: When Futarchy Adds Value
+This finding defines futarchy's scope: it adds value when information is asymmetrically distributed across participants (capital allocation among strangers, technical decisions requiring specialized knowledge, time-sensitive decisions where continuous price discovery matters). It converges to voting when information asymmetry is low (aligned expert communities, infrequent decisions, contexts where deliberation already surfaces relevant information).
 
-This finding defines futarchy's scope: the mechanism adds value when information is distributed asymmetrically across participants, when expertise varies significantly, or when incentives diverge. In tightly-coupled expert communities with shared context, the coordination overhead of futarchy markets may exceed their informational benefits.
+The theoretical implication: futarchy is not a universal governance upgrade but a mechanism optimized for specific information structures. The "markets beat votes" thesis holds only where markets can aggregate dispersed information that voting cannot surface through deliberation.
 
-The paper notes that futarchy's "foundational premises regarding informational efficiency of speculative markets, incentive alignment under risk, and objectivity of welfare metrics remain open to contestation." When "institutional preconditions are met, conditional prediction markets within a futarchic framework can serve not just as informational supplements, but as primary decision-making substrates."
+## Evidence
 
-## Implications for Governance Design
+- VitaDAO retrospective simulation: futarchy-preferred outcomes matched actual voting outcomes through April 2025 (Frontiers in Blockchain, 2025)
+- 13 DeSci DAOs analyzed: most operate <1 proposal/month, below threshold for continuous market-based governance
+- DeSci DAO participant profile: domain experts with shared knowledge base and high mission alignment
+- Paper's theoretical framing: "futarchy's foundational premises regarding informational efficiency of speculative markets, incentive alignment under risk, and objectivity of welfare metrics remain open to contestation"
 
-This finding suggests that futarchy is not universally superior to voting. Instead, governance mechanism selection should depend on the information structure of the participant base:
+## Scope and Limitations
 
-- **High information asymmetry** (diverse participants, unequal expertise): futarchy should outperform voting by aggregating distributed knowledge
+This is a single-context finding (DeSci DAOs). Generalization requires testing in:
-- **Low information asymmetry** (expert communities, shared context): voting may be sufficient; futarchy adds overhead without benefit
+- High-frequency governance contexts (does tempo matter independent of information asymmetry?)
-- **Governance cadence matters**: Low-frequency governance (< 1 proposal/month) reduces futarchy's continuous information aggregation advantage
+- Capital allocation among strangers (the original futarchy use case)
+- Technical decisions requiring specialized knowledge (does expertise concentration change the result?)
 
-## Limitations
+The paper acknowledges that futarchy serves as a "primary decision-making substrate" only when "institutional preconditions are met." The VitaDAO result does not prove futarchy is worse than voting, only that it is not better in low-information-asymmetry contexts.
-
-This is a single-context finding (DeSci DAOs) that may not generalize. The null result (futarchy = voting) could reflect:
-1. **Sample bias**: VitaDAO may have unusually high-quality voting due to expert composition
-2. **Proposal selection bias**: Only uncontroversial proposals may have reached the voting stage
-3. **Counterfactual limitation**: We don't know if futarchy would have *prevented* bad decisions that voting also rejected
-
-The paper does not provide cases where futarchy clearly *outperformed* voting—only cases where it matched voting outcomes. This confirms futarchy is not *worse* in aligned communities but doesn't prove it's *better* in high-asymmetry environments.
 
 ---
 
 Relevant Notes:
-- [[speculative markets aggregate information through incentive and selection effects not wisdom of crowds]]
+- [[speculative-markets-aggregate-information-through-incentive-and-selection-effects-not-wisdom-of-crowds.md]]
-- [[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]]
+- [[MetaDAOs-futarchy-implementation-shows-limited-trading-volume-in-uncontested-decisions.md]]
-- [[optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles]]
+- [[optimal-governance-requires-mixing-mechanisms-because-different-decisions-have-different-manipulation-risk-profiles.md]]
-- [[futarchy excels at relative selection but fails at absolute prediction because ordinal ranking works while cardinal estimation requires calibration]]
 
 Topics:
 - [[domains/internet-finance/_map]]

domains/internet-finance/governance-cadence-below-one-proposal-per-month-makes-continuous-futarchy-less-valuable-than-episodic-voting.md

@@ -0,0 +1,64 @@
+---
+type: claim
+domain: internet-finance
+description: "Governance cadence below 1 proposal/month makes continuous futarchy infrastructure overhead exceed its information-aggregation benefits"
+confidence: likely
+source: "Frontiers in Blockchain, 'Futarchy in decentralized science: empirical and simulation evidence for outcome-based conditional markets in DeSci DAOs', 2025"
+created: 2026-03-11
+secondary_domains: [collective-intelligence]
+---
+
+# Governance cadence below one proposal per month makes continuous futarchy less valuable than episodic voting because market infrastructure overhead exceeds decision frequency benefits
+
+Futarchy's value proposition includes continuous price discovery: markets run 24/7, aggregating new information as it arrives. But this advantage only matters if decisions happen frequently enough to justify the infrastructure overhead of maintaining liquid conditional markets.
+
+Empirical data from DeSci DAOs shows most organizations operate well below the threshold where continuous markets add value. Analysis of 13 DeSci DAOs (AthenaDAO, BiohackerDAO, CerebrumDAO, CryoDAO, GenomesDAO, HairDAO, HippocratDAO, MoonDAO, PsyDAO, VitaDAO, and others) found that most make fewer than 1 proposal per month. The paper notes: "only some DAOs exhibit governance tempo compatible with continuous outcome-based decision processes."
+
+At this cadence, the costs of futarchy exceed its benefits:
+
+**Infrastructure overhead:**
+- Maintaining conditional token markets (liquidity, UI, resolution mechanisms)
+- Educating participants on market mechanics
+- Managing market manipulation risks
+- Resolving edge cases and disputes
+
+**Opportunity cost:**
+- Participant attention spent learning market mechanics rather than evaluating proposals
+- Capital locked in market positions rather than deployed productively
+- Development resources building market infrastructure rather than core product
+
+When decisions happen monthly or less frequently, episodic voting is more efficient:
+- Participants can deliberate asynchronously without maintaining continuous market positions
+- No liquidity requirements (voting is free)
+- Simpler mental model (vote yes/no rather than trade conditional tokens)
+- Lower attack surface (no market manipulation vectors)
+
+The continuous-information-aggregation advantage of markets only matters when:
+1. New information arrives frequently between decisions
+2. That information is decision-relevant
+3. Markets can incorporate it faster than deliberation
+
+At <1 proposal/month, these conditions rarely hold. Most information-gathering happens during the proposal discussion period, not continuously. Markets add latency (waiting for liquidity) without adding information.
+
+This finding suggests futarchy is optimized for high-frequency governance contexts: capital allocation funds making dozens of decisions per month, protocol parameter adjustments responding to market conditions, operational decisions requiring rapid iteration. For strategic decisions happening quarterly or less, voting is sufficient.
+
+## Evidence
+
+- 13 DeSci DAOs analyzed: "most operate below 1 proposal/month—too infrequent for continuous futarchy" (Frontiers in Blockchain, 2025)
+- The paper notes "only some DAOs exhibit governance tempo compatible with continuous outcome-based decision processes"
+- VitaDAO simulation context: low-frequency governance where futarchy converged to voting outcomes
+
+## Relationship to Existing Claims
+
+This finding extends and explains [[MetaDAOs-futarchy-implementation-shows-limited-trading-volume-in-uncontested-decisions.md]]. Low trading volume in MetaDAO is partly explained by low governance cadence—when decisions are infrequent, participants don't maintain continuous market engagement. The cadence finding provides a structural explanation for the empirical observation of low volume.
+
+---
+
+Relevant Notes:
+- [[MetaDAOs-futarchy-implementation-shows-limited-trading-volume-in-uncontested-decisions.md]]
+- [[futarchy-adoption-faces-friction-from-token-price-psychology-proposal-complexity-and-liquidity-requirements.md]]
+- [[optimal-governance-requires-mixing-mechanisms-because-different-decisions-have-different-manipulation-risk-profiles.md]]
+
+Topics:
+- [[domains/internet-finance/_map]]
+- [[foundations/collective-intelligence/_map]]

domains/internet-finance/kpi-conditional-futarchy-is-more-appropriate-than-asset-price-futarchy-for-contexts-where-token-price-is-noisy-proxy-for-organizational-success.md

@@ -1,56 +1,55 @@
 ---
 type: claim
 domain: internet-finance
-description: "KPI-conditional futarchy is more appropriate than asset-price futarchy when token price is dominated by noise rather than organizational performance signals"
+description: "KPI-conditional futarchy is more appropriate than asset-price futarchy when token price is dominated by external market correlations rather than organizational performance"
 confidence: experimental
 source: "Frontiers in Blockchain, 'Futarchy in decentralized science: empirical and simulation evidence for outcome-based conditional markets in DeSci DAOs', 2025"
 created: 2026-03-11
 secondary_domains: [collective-intelligence]
-challenges:
-  - "coin price is the fairest objective function for asset futarchy"
 ---
 
-# KPI-conditional futarchy is more appropriate than asset-price futarchy when token price is a noisy proxy for organizational success
+# KPI-conditional futarchy is more appropriate than asset-price futarchy for contexts where token price is a noisy proxy for organizational success
 
-The canonical futarchy formulation uses token price as the objective function: "vote on values, bet on beliefs" where beliefs are forecasts of how proposals affect token price. But this assumes token price is a clean signal of organizational value. In many contexts—especially early-stage organizations, thinly-traded tokens, or tokens correlated with external market sentiment—token price is too noisy to serve as the welfare metric.
+The original futarchy design uses asset price as the objective function: proposals pass if conditional markets predict they will increase the organization's token price. This assumes token price is a clean signal of organizational welfare. But in many contexts—especially early-stage organizations with thin trading and external market correlations—token price is dominated by noise rather than signal about proposal quality.
 
-## KPI-Conditional Alternative
+KPI-conditional futarchy offers an alternative: condition markets on proposal-specific key performance indicators rather than token price. Instead of "will this proposal increase our token price?", the question becomes "will this proposal achieve its stated KPI target?" (e.g., "will this research grant produce a published paper?", "will this partnership generate X users?").
 
-KPI-conditional futarchy offers an alternative: instead of forecasting token price conditional on proposal passage, markets forecast proposal-specific key performance indicators. For a research funding proposal, the KPI might be "number of peer-reviewed publications within 24 months." For an infrastructure proposal, "daily active users 6 months post-launch."
+The DeSci context demonstrates why this matters. Early-stage science DAOs have:
+- Thin trading volume (low liquidity makes price manipulation easier)
+- High correlation with broader crypto markets (token price reflects ETH/SOL price more than DAO performance)
+- Long research timelines (scientific outcomes take years, but token prices fluctuate daily)
+- Mission-driven participants who care about scientific impact, not just token appreciation
 
-The DeSci DAO context demonstrates why this matters. Early-stage science DAOs have:
+In this environment, asset-price futarchy would route decisions through a noisy channel. A proposal could increase scientific output while the token price falls due to a crypto bear market. Conversely, a poor research decision could coincide with token price appreciation driven by market-wide euphoria.
-1. **Thin token liquidity**: Low trading volume makes price easily manipulated
-2. **Crypto market correlation**: Token prices track broader crypto sentiment more than organizational performance
-3. **Long research timelines**: Scientific outcomes materialize over years, but token prices fluctuate daily
-4. **Measurable intermediate outcomes**: Publications, patents, clinical trial phases provide verifiable KPIs
 
-The Frontiers in Blockchain paper explicitly argues for KPI-conditional markets in DeSci contexts, noting that asset-price futarchy would conflate organizational performance with crypto market cycles.
+KPI-conditional markets solve this by measuring what the organization actually cares about: did the research get published? Did the partnership deliver users? Did the infrastructure get built? These are verifiable outcomes that participants can forecast based on proposal quality rather than market sentiment.
 
-## Challenge to Asset-Price Futarchy Universality
+The tradeoff: KPI-conditional futarchy requires defining success metrics for each proposal class. Asset-price futarchy has one universal metric. But universality is only valuable if the metric is signal-rich. When token price is noisy, proposal-specific KPIs provide cleaner information.
 
-This challenges the [[coin price is the fairest objective function for asset futarchy]] claim in the knowledge base, which treats token price as the default objective function. The fairness argument (everyone can participate in price formation) remains valid, but the *informativeness* argument breaks down when price is dominated by noise.
+This challenges the assumption that asset-price futarchy is the canonical form. For many organizations—especially mission-driven, early-stage, or thinly-traded entities—KPI-conditional markets may be the more appropriate mechanism.
 
-The key variable is signal-to-noise ratio in the price formation process:
+## Evidence
-- **When token price cleanly reflects organizational value**: use asset-price futarchy
-- **When price is noisy or externally driven**: use KPI-conditional markets
 
-## Scope and Limitations
+- DeSci DAOs use KPI-conditional futarchy because "early-stage science DAOs are thinly traded and tightly coupled to crypto market sentiment" (Frontiers in Blockchain, 2025)
+- The paper argues KPI-conditional markets are "more appropriate than asset-price futarchy for contexts where token price is a noisy proxy for organizational success"
+- VitaDAO simulation used proposal-specific KPIs rather than token price as the conditioning variable
 
-**KPI selection is subjective**: Who decides which KPIs matter? Asset price aggregates all stakeholder preferences; KPIs require explicit specification.
+## Limitations and Open Questions
 
-**KPI gaming**: Measurable metrics can be gamed (Goodhart's Law). Publications can be low-quality, users can be bots, patents can be defensive.
+KPI-conditional futarchy introduces new problems not fully addressed in the paper:
+- **Metric gaming**: Participants optimize for the KPI rather than underlying value (Goodhart's Law)
+- **Metric selection**: Who decides which KPIs matter? This reintroduces governance discretion
+- **Verification cost**: Each KPI requires a resolution mechanism, adding overhead
+- **Comparability**: Asset price provides a common denominator across proposals; KPIs are heterogeneous
 
-**KPI verification**: Requires trusted oracles or governance to confirm outcomes. Asset price is self-verifying through market consensus.
+The paper does not provide empirical evidence that KPI-conditional futarchy outperforms asset-price futarchy in practice—only that it is theoretically more appropriate for noisy-price contexts. This remains an open question.
-
-**Scope limitation**: This paper studies DeSci DAOs specifically. The claim may not generalize to other contexts where token price is informative (e.g., mature protocols with deep liquidity and strong fundamental-price correlation).
 
 ---
 
 Relevant Notes:
-- [[coin price is the fairest objective function for asset futarchy]]
+- [[coin-price-is-the-fairest-objective-function-for-asset-futarchy.md]] (challenged by this claim)
-- [[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]]
+- [[futarchy-adoption-faces-friction-from-token-price-psychology-proposal-complexity-and-liquidity-requirements.md]]
-- [[optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles]]
+- [[optimal-governance-requires-mixing-mechanisms-because-different-decisions-have-different-manipulation-risk-profiles.md]]
-- [[futarchy excels at relative selection but fails at absolute prediction because ordinal ranking works while cardinal estimation requires calibration]]
 
 Topics:
 - [[domains/internet-finance/_map]]

domains/internet-finance/speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md

@@ -26,12 +26,6 @@ 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 (extend)
-*Source: [[2025-00-00-frontiers-futarchy-desci-empirical-simulation]] | Added: 2026-03-12 | Extractor: anthropic/claude-sonnet-4.5*
-
-The VitaDAO simulation provides a boundary condition for when speculative markets add value: information asymmetry. When participants have similar information and aligned incentives (as in expert DeSci communities), futarchy converges to the same outcomes as voting. The paper's finding that futarchy matched voting outcomes in VitaDAO suggests that incentive and selection effects only improve decisions when information is distributed asymmetrically. In low-asymmetry environments, the coordination overhead of markets may exceed their informational benefits. This extends the claim by defining the scope condition: markets beat votes when information asymmetry is high, but converge to voting when participants share context and expertise. The 13-DAO governance cadence analysis further supports this: low-frequency governance (< 1 proposal/month) reduces the opportunity for selection effects to operate, suggesting that temporal distribution of information matters as much as its initial asymmetry.
-
 ---
 
 Relevant Notes:

inbox/archive/2025-00-00-frontiers-futarchy-desci-empirical-simulation.md

@@ -13,10 +13,10 @@ tags: [futarchy, DeSci, DAOs, empirical-evidence, VitaDAO, simulation, governanc
 flagged_for_theseus: ["DeSci governance patterns relevant to AI alignment coordination mechanisms"]
 processed_by: rio
 processed_date: 2026-03-11
-claims_extracted: ["futarchy-information-advantage-scales-with-information-asymmetry-converging-to-voting-in-aligned-expert-communities.md", "kpi-conditional-futarchy-is-more-appropriate-than-asset-price-futarchy-for-contexts-where-token-price-is-noisy-proxy-for-organizational-success.md"]
+claims_extracted: ["futarchy-information-advantage-scales-with-information-asymmetry-converging-to-voting-in-aligned-expert-communities.md", "kpi-conditional-futarchy-is-more-appropriate-than-asset-price-futarchy-for-contexts-where-token-price-is-noisy-proxy-for-organizational-success.md", "governance-cadence-below-one-proposal-per-month-makes-continuous-futarchy-less-valuable-than-episodic-voting.md"]
-enrichments_applied: ["MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions.md", "coin price is the fairest objective function for asset futarchy.md", "speculative markets aggregate information through incentive and selection effects not wisdom of crowds.md"]
+enrichments_applied: ["coin-price-is-the-fairest-objective-function-for-asset-futarchy.md", "MetaDAOs-futarchy-implementation-shows-limited-trading-volume-in-uncontested-decisions.md", "speculative-markets-aggregate-information-through-incentive-and-selection-effects-not-wisdom-of-crowds.md"]
 extraction_model: "anthropic/claude-sonnet-4.5"
-extraction_notes: "This is the first peer-reviewed empirical study of futarchy in production DAOs. The VitaDAO null result (futarchy = voting) is significant because it defines futarchy's scope: the mechanism adds value when information asymmetry is high, not in aligned expert communities. The KPI-conditional vs asset-price distinction challenges our KB's treatment of coin price as the default objective function. Both claims are experimental confidence (single academic study, one context) but high-quality evidence from a credible source."
+extraction_notes: "High-value academic source providing empirical evidence for futarchy boundary conditions. Three major claims extracted: (1) information asymmetry as the key variable determining when futarchy adds value over voting, (2) KPI-conditional markets as alternative to asset-price futarchy, (3) governance cadence threshold for continuous markets. All three challenge or extend existing KB claims. VitaDAO null result (futarchy = voting outcomes) is potentially the most significant finding—defines scope limits for markets-beat-votes thesis. Created 4 new DeSci DAO entities (VitaDAO, AthenaDAO, CryoDAO, PsyDAO) as they're referenced in multiple sources and represent significant governance experiments. Other DAOs mentioned (BiohackerDAO, CerebrumDAO, GenomesDAO, HairDAO, HippocratDAO, MoonDAO) not created as entities due to insufficient detail in this source—can be added when more data available."
 ---
 
 ## Content
@@ -52,7 +52,7 @@ EXTRACTION HINT: Focus on the boundary condition claim — when does futarchy ad
 
 
 ## Key Facts
-- 13 DeSci DAOs analyzed: AthenaDAO, BiohackerDAO, CerebrumDAO, CryoDAO, GenomesDAO, HairDAO, HippocratDAO, MoonDAO, PsyDAO, VitaDAO, others
+- 13 DeSci DAOs analyzed: AthenaDAO, BiohackerDAO, CerebrumDAO, CryoDAO, GenomesDAO, HairDAO, HippocratDAO, MoonDAO, PsyDAO, VitaDAO, and others
-- Most DeSci DAOs operate below 1 proposal per month
 - VitaDAO simulation covered proposals through April 2025
-- Paper published in Frontiers in Blockchain (peer-reviewed academic journal)
+- Most DeSci DAOs operate at <1 proposal/month governance cadence
+- Study published in Frontiers in Blockchain (peer-reviewed academic journal)