From 77348580c8c79e989f4af5b5da899dc63fc93827 Mon Sep 17 00:00:00 2001 From: m3taversal Date: Mon, 16 Mar 2026 12:30:49 +0000 Subject: [PATCH] Auto: agents/vida/self-audit-2026-03-16.md | 1 file changed, 138 insertions(+) --- agents/vida/self-audit-2026-03-16.md | 138 +++++++++++++++++++++++++++ 1 file changed, 138 insertions(+) create mode 100644 agents/vida/self-audit-2026-03-16.md diff --git a/agents/vida/self-audit-2026-03-16.md b/agents/vida/self-audit-2026-03-16.md new file mode 100644 index 00000000..6a0880c2 --- /dev/null +++ b/agents/vida/self-audit-2026-03-16.md @@ -0,0 +1,138 @@ +# Self-Audit Report: Vida +**Date:** 2026-03-16 +**Domain:** health +**Claims audited:** 44 +**Overall status:** WARNING + +--- + +## Structural Findings + +### Schema Compliance: PASS +- 44/44 files have all required frontmatter (type, domain, description, confidence, source, created) +- 44/44 descriptions add meaningful context beyond the title +- 3 files use non-standard extended fields (last_evaluated, depends_on, challenged_by, secondary_domains, tradition) — these are useful extensions but should be documented in schemas/claim.md if adopted collectively + +### Orphan Ratio: CRITICAL — 74% (threshold: 15%) +- 35 of 47 health claims have zero incoming wiki links from other claims or agent files +- All 12 "connected" claims receive links only from inbox/archive source files, not from the knowledge graph +- **This means the health domain is structurally isolated.** Claims link out to each other internally, but no other domain or agent file links INTO health claims. + +**Classification of orphans:** +- 15 AI/technology claims — should connect to ai-alignment domain +- 8 business/market claims — should connect to internet-finance, teleological-economics +- 8 policy/structural claims — should connect to mechanisms, living-capital +- 4 foundational claims — should connect to critical-systems, cultural-dynamics + +**Root cause:** Extraction-heavy, integration-light. Claims were batch-extracted (22 on Feb 17 alone) without a corresponding integration pass to embed them in the cross-domain graph. + +### Link Health: PASS +- No broken wiki links detected in claim bodies +- All `[[wiki links]]` resolve to existing files + +### Staleness: PASS (with caveat) +- All claims created within the last 30 days (domain is new) +- However, 22/44 claims cite evidence from a single source batch (Bessemer State of Health AI 2026). Source diversity is healthy at the domain level but thin at the claim level. + +### Duplicate Detection: PASS +- No semantic duplicates found +- Two near-pairs worth monitoring: + - "AI diagnostic triage achieves 97% sensitivity..." and "medical LLM benchmark performance does not translate to clinical impact..." — not duplicates but their tension should be explicit + - "PACE demonstrates integrated care averts institutionalization..." and "PACE restructures costs from acute to chronic..." — complementary, not duplicates + +--- + +## Epistemic Findings + +### Unacknowledged Contradictions: 3 (HIGH PRIORITY) + +**1. Prevention Economics Paradox** +- Claim: "the healthcare attractor state...profits from health rather than sickness" (likely) +- Claim: "PACE restructures costs from acute to chronic spending WITHOUT REDUCING TOTAL EXPENDITURE" (likely) +- PACE is the closest real-world approximation of the attractor state (100% capitation, fully integrated, community-based). It shows quality/outcome improvement but cost-neutral economics. The attractor state thesis assumes prevention is profitable. PACE says it isn't — the value is clinical and social, not financial. +- **The attractor claim's body addresses this briefly but the tension is buried, not explicit in either claim's frontmatter.** + +**2. Jevons Paradox vs AI-Enabled Prevention** +- Claim: "healthcare AI creates a Jevons paradox because adding capacity to sick care induces more demand" (likely) +- Claim: "the healthcare attractor state" relies on "AI-augmented care delivery" for prevention +- The Jevons claim asserts ALL healthcare AI optimizes sick care. The attractor state assumes AI can optimize prevention. Neither acknowledges the other. + +**3. Cost Curve vs Attractor State Timeline** +- Claim: "the healthcare cost curve bends UP through 2035" (likely) +- Claim: "GLP-1s...net cost impact inflationary through 2035" (likely) +- Claim: attractor state assumes prevention profitability +- If costs are structurally inflationary through 2035, the prevention-first attractor can't achieve financial sustainability during the transition period. This timeline constraint isn't acknowledged. + +### Confidence Miscalibrations: 3 + +**Overconfident (should downgrade):** +1. "Big Food companies engineer addictive products by hacking evolutionary reward pathways" — rated `proven`, should be `likely`. The business practices are evidenced but "intentional hacking" of reward pathways is interpretation, not empirically proven via RCT. +2. "AI scribes reached 92% provider adoption" — rated `proven`, should be `likely`. The 92% figure is "deploying, implementing, or piloting" (Bessemer), not proven adoption. The causal "because" clause is inferred. +3. "CMS 2027 chart review exclusion targets vertical integration profit arbitrage" — rated `proven`, should be `likely`. CMS intent is inferred from policy mechanics, not explicitly documented. + +**Underconfident (could upgrade):** +1. "consumer willingness to pay out of pocket for AI-enhanced care" — rated `likely`, could be `proven`. RadNet study (N=747,604) showing 36% choosing $40 AI premium is large-scale empirical market behavior data. + +### Belief Grounding: WARNING +- Belief 1 ("healthspan is the binding constraint") — well-grounded in 7+ claims +- Belief 2 ("80-90% of health outcomes are non-clinical") — grounded in `medical care explains 10-20%` (proven) but THIN on what actually works to change behavior. Only 1 claim touches SDOH interventions, 1 on social isolation. No claims on community health workers, social prescribing mechanisms, or behavioral economics of health. +- Belief 3 ("structural misalignment") — well-grounded in CMS, payvidor, VBC claims +- Belief 4 ("atoms-to-bits") — grounded in wearables + Function Health claims +- Belief 5 ("clinical AI + safety risks") — grounded in human-in-the-loop degradation, benchmark vs clinical impact. But thin on real-world deployment safety data. + +### Scope Issues: 3 + +1. "AI-first screening viable for ALL imaging and pathology" — evidence covers 14 CT conditions and radiology, not all imaging/pathology modalities. Universal is unwarranted. +2. "the physician role SHIFTS from information processor to relationship manager" — stated as completed fact; evidence shows directional trend, not completed transformation. +3. "the healthcare attractor state...PROFITS from health" — financial profitability language is stronger than PACE evidence supports. "Incentivizes health" would be more accurate. + +--- + +## Knowledge Gaps (ranked by impact on beliefs) + +1. **Behavioral health infrastructure mechanisms** — Belief 2 depends on non-clinical interventions working at scale. Almost no claims about WHAT works: community health worker programs, social prescribing, digital therapeutics for behavior change. This is the single biggest gap. + +2. **International/comparative health systems** — Zero non-US claims. Singapore 3M, Costa Rica EBAIS, Japan LTCI, NHS England are all in the archive but unprocessed. Limits the generalizability of every structural claim. + +3. **GLP-1 second-order economics** — One claim on market size. Nothing on: adherence at scale, insurance coverage dynamics, impact on bariatric surgery demand, manufacturing bottlenecks, Novo/Lilly duopoly dynamics. + +4. **Clinical AI real-world safety data** — Belief 5 claims safety risks but evidence is thin. Need: deployment accuracy vs benchmark, alert fatigue rates, liability incidents, autonomous diagnosis failure modes. + +5. **Space health** — Zero claims. Cross-domain bridge to Astra is completely unbuilt. Radiation biology, bone density, psychological isolation — all relevant to both space medicine and terrestrial health. + +6. **Health narratives and meaning** — Cross-domain bridge to Clay is unbuilt. Placebo mechanisms, narrative identity in chronic illness, meaning-making as health intervention. + +--- + +## Cross-Domain Health + +- **Internal linkage:** Dense — most health claims link to 2-5 other health claims +- **Cross-domain linkage ratio:** ~5% (CRITICAL — threshold is 15%) +- **Missing connections:** + - health ↔ ai-alignment: 15 AI-related health claims, zero links to Theseus's domain + - health ↔ internet-finance: VBC/CMS/GLP-1 economics claims, zero links to Rio's domain + - health ↔ critical-systems: "healthcare is a complex adaptive system" claim, zero links to foundations/critical-systems/ + - health ↔ cultural-dynamics: deaths of despair, modernization claims, zero links to foundations/cultural-dynamics/ + - health ↔ space-development: zero claims, zero links + +--- + +## Recommended Actions (prioritized) + +### Critical +1. **Resolve prevention economics contradiction** — Add `challenged_by` to attractor state claim pointing to PACE cost evidence. Consider new claim: "prevention-first care models improve quality without reducing total costs during transition, making the financial case dependent on regulatory and payment reform rather than inherent efficiency" +2. **Address Jevons-prevention tension** — Either scope the Jevons claim ("AI applied to SICK CARE creates Jevons paradox") or explain the mechanism by which prevention-oriented AI avoids the paradox +3. **Integration pass** — Batch PR adding incoming wiki links from core/, foundations/, and other domains/ to the 35 orphan claims. This is the highest-impact structural fix. + +### High +4. **Downgrade 3 confidence levels** — Big Food (proven→likely), AI scribes (proven→likely), CMS chart review (proven→likely) +5. **Scope 3 universals** — AI diagnostic triage ("CT and radiology" not "all"), physician role ("shifting toward" not "shifts"), attractor state ("incentivizes" not "profits from") +6. **Upgrade 1 confidence level** — Consumer willingness to pay (likely→proven) + +### Medium +7. **Fill Belief 2 gap** — Extract behavioral health infrastructure claims from existing archive sources +8. **Build cross-domain links** — Start with health↔ai-alignment (15 natural connection points) and health↔critical-systems (complex adaptive system claim) + +--- + +*This report was generated using the self-audit skill (skills/self-audit.md). First audit of the health domain.*