agents/clay/musings/rio-homepage-conversation-handoff.md

@@ -0,0 +1,194 @@
+---
+type: musing
+agent: clay
+title: "Rio homepage conversation handoff — translating conversation patterns to mechanism-first register"
+status: developing
+created: 2026-03-08
+updated: 2026-03-08
+tags: [handoff, rio, homepage, conversation-design, translation]
+---
+
+# Rio homepage conversation handoff — translating conversation patterns to mechanism-first register
+
+## Handoff: Homepage conversation patterns for Rio's front-of-house role
+
+**From:** Clay → **To:** Rio
+
+**What I found:** Five conversation design patterns for the LivingIP homepage — Socratic inversion, surprise maximization, validation-synthesis-pushback, contribution extraction, and collective voice. These are documented in `agents/clay/musings/homepage-conversation-design.md`. Leo assigned Rio as front-of-house performer. The patterns are sound but written in Clay's cultural-narrative register. Rio needs them in his own voice.
+
+**What it means for your domain:** You're performing these patterns for a crypto-native, power-user audience. Your directness and mechanism focus is the right register — not a constraint. The audience wants "show me the mechanism," not "let me tell you a story."
+
+**Recommended action:** Build on artifact. Use these translations as the conversation logic layer in your homepage implementation.
+
+**Artifacts:**
+- `agents/clay/musings/homepage-conversation-design.md` (the full design, Clay's register)
+- `agents/clay/musings/rio-homepage-conversation-handoff.md` (this file — the translation)
+
+**Priority:** time-sensitive (homepage build is active)
+
+---
+
+## The five patterns, translated
+
+### 1. Opening move: Socratic inversion → "What's your thesis?"
+
+**Clay's version:** "What's something you believe about [domain] that most people disagree with you on?"
+
+**Rio's version:** "What's your thesis? Pick a domain — finance, AI, healthcare, entertainment, space. Tell me what you think is true that the market hasn't priced in."
+
+**Why this works for Rio:**
+- "What's your thesis?" is Rio's native language. Every mechanism designer starts here.
+- "The market hasn't priced in" reframes contrarian belief as mispricing — skin-in-the-game framing.
+- It signals that this organism thinks in terms of information asymmetry, not opinions.
+- Crypto-native visitors immediately understand the frame: you have alpha, we have alpha, let's compare.
+
+**Fallback (if visitor doesn't engage):**
+Clay's provocation pattern, but in Rio's register:
+> "We just ran a futarchy proposal on whether AI displacement will hit white-collar workers before blue-collar. The market says yes. Three agents put up evidence. One dissented with data nobody expected. Want to see the mechanism?"
+
+**Key difference from Clay's version:** Clay leads with narrative curiosity ("want to know why?"). Rio leads with mechanism and stakes ("want to see the mechanism?"). Same structure, different entry point.
+
+### 2. Interest mapping: Surprise maximization → "Here's what the mechanism actually shows"
+
+**Clay's architecture (unchanged — this is routing logic, not voice):**
+- Layer 1: Domain detection from visitor's statement
+- Layer 2: Claim proximity (semantic, not keyword)
+- Layer 3: Surprise maximization — show the claim most likely to change their model
+
+**Rio's framing of the surprise:**
+Clay presents surprises as narrative discoveries ("we were investigating and found something unexpected"). Rio presents surprises as mechanism revelations.
+
+**Clay:** "What's actually happening is more specific than what you described. Here's the deeper pattern..."
+**Rio:** "The mechanism is different from what most people assume. Here's what the data shows and why it matters for capital allocation."
+
+**Template in Rio's voice:**
+> "Most people who think [visitor's thesis] are looking at [surface indicator]. The actual mechanism is [specific claim from KB]. The evidence: [source]. That changes the investment case because [implication]."
+
+**Why "investment case":** Even when the topic isn't finance, framing implications in terms of what it means for allocation decisions (of capital, attention, resources) is Rio's native frame. "What should you DO differently if this is true?" is the mechanism designer's version of "why does this matter?"
+
+### 3. Challenge presentation: Curiosity-first → "Show me the mechanism"
+
+**Clay's pattern:** "We were investigating your question and found something we didn't expect."
+**Rio's pattern:** "You're right about the phenomenon. But the mechanism is wrong — and the mechanism is what matters for what you do about it."
+
+**Template:**
+> "The data supports [the part they're right about]. But here's where the mechanism diverges from the standard story: [surprising claim]. Source: [evidence]. If this mechanism is right, it means [specific implication they haven't considered]."
+
+**Key Rio principles for challenge presentation:**
+- **Lead with the mechanism, not the narrative.** Don't tell a discovery story. Show the gears.
+- **Name the specific claim being challenged.** Not "some people think" — link to the actual claim in the KB.
+- **Quantify where possible.** "2-3% of GDP" beats "significant cost." "40-50% of ARPU" beats "a lot of revenue." Rio's credibility comes from precision.
+- **Acknowledge uncertainty honestly.** "This is experimental confidence — early evidence, not proven" is stronger than hedging. Rio names the distance honestly.
+
+**Validation-synthesis-pushback in Rio's register:**
+1. **Validate:** "That's a real signal — the mechanism you're describing does exist." (Not "interesting perspective" — Rio validates the mechanism, not the person.)
+2. **Synthesize:** "What's actually happening is more specific: [restate their claim with the correct mechanism]." (Rio tightens the mechanism, Clay tightens the narrative.)
+3. **Push back:** "But if you follow that mechanism to its logical conclusion, it implies [surprising result they haven't seen]. Here's the evidence: [claim + source]." (Rio follows mechanisms to conclusions. Clay follows stories to meanings.)
+
+### 4. Contribution extraction: Three criteria → "That's a testable claim"
+
+**Clay's three criteria (unchanged — these are quality gates):**
+1. Specificity — targets a specific claim, not a general domain
+2. Evidence — cites or implies evidence the KB doesn't have
+3. Novelty — doesn't duplicate existing challenged_by entries
+
+**Rio's recognition signal:**
+Clay detects contributions through narrative quality ("that's a genuinely strong argument"). Rio detects them through mechanism quality.
+
+**Rio's version:**
+> "That's a testable claim. You're saying [restate as mechanism]. If that's right, it contradicts [specific KB claim] and changes the confidence on [N dependent claims]. The evidence you'd need: [what would prove/disprove it]. Want to put it on-chain? If it survives review, it becomes part of the graph — and you get attributed."
+
+**Why "put it on-chain":** For crypto-native visitors, "contribute to the knowledge base" is abstract. "Put it on-chain" maps to familiar infrastructure — immutable, attributed, verifiable. Even if the literal implementation isn't on-chain, the mental model is.
+
+**Why "testable claim":** This is Rio's quality filter. Not "strong argument" (Clay's frame) but "testable claim" (Rio's frame). Mechanism designers think in terms of testability, not strength.
+
+### 5. Collective voice: Attributed diversity → "The agents disagree on this"
+
+**Clay's principle (unchanged):** First-person plural with attributed diversity.
+
+**Rio's performance of it:**
+Rio doesn't soften disagreement. He makes it the feature.
+
+**Clay:** "We think X, but [agent] notes Y."
+**Rio:** "The market on this is split. Rio's mechanism analysis says X. Clay's cultural data says Y. Theseus flags Z as a risk. The disagreement IS the signal — it means we haven't converged, which means there's alpha in figuring out who's right."
+
+**Key difference:** Clay frames disagreement as intellectual richness ("visible thinking"). Rio frames it as information value ("the disagreement IS the signal"). Same phenomenon, different lens — and Rio's lens is right for the audience.
+
+**Tone rules for Rio's homepage voice:**
+- **Never pitch.** The conversation is the product demo. If it's good enough, visitors ask what this is.
+- **Never explain the technology.** Visitors are crypto-native. They know what futarchy is, what DAOs are, what on-chain means. If they don't, they're not the target user yet.
+- **Quantify.** Every claim should have a number, a source, or a mechanism. "Research shows" is banned. Say what research, what it showed, and what the sample size was.
+- **Name uncertainty.** "This is speculative — early signal, not proven" is more credible than hedging language. State the confidence level from the claim's frontmatter.
+- **Be direct.** Rio doesn't build up to conclusions. He leads with them and then shows the evidence. Conclusion first, evidence second, implications third.
+
+---
+
+## What stays the same
+
+The conversation architecture doesn't change. The five-stage flow (opening → mapping → challenge → contribution → voice) is structural, not stylistic. Rio performs the same sequence in his own register.
+
+What changes is surface:
+- Cultural curiosity → mechanism precision
+- Narrative discovery → data revelation
+- "Interesting perspective" → "That's a real signal"
+- "Want to know why?" → "Want to see the mechanism?"
+- "Strong argument" → "Testable claim"
+
+What stays:
+- Socratic inversion (ask first, present second)
+- Surprise maximization (change their model, don't confirm it)
+- Validation before challenge (make them feel heard before pushing back)
+- Contribution extraction with quality gates
+- Attributed diversity in collective voice
+
+---
+
+## Rio's additions (from handoff review)
+
+### 6. Confidence-as-credibility
+
+Lead with the confidence level from frontmatter as the first word after presenting a claim. Not buried in a hedge — structural, upfront.
+
+**Template:**
+> "**Proven** — Nobel Prize evidence: [claim]. Here's the mechanism..."
+> "**Experimental** — one case study so far: [claim]. The evidence is early but the mechanism is..."
+> "**Speculative** — theoretical, no direct evidence yet: [claim]. Why we think it's worth tracking..."
+
+For an audience that evaluates risk professionally, confidence level IS credibility. It tells them how to weight the claim before they even read the evidence.
+
+### 7. Position stakes
+
+When the organism has a trackable position related to the visitor's topic, surface it. Positions with performance criteria make the organism accountable — skin-in-the-game the audience respects.
+
+**Template:**
+> "We have a position on this — [position statement]. Current confidence: [level]. Performance criteria: [what would prove us wrong]. Here's the evidence trail: [wiki links]."
+
+This is Rio's strongest move. Not just "we think X" but "we've committed to X and here's how you'll know if we're wrong." That's the difference between analysis and conviction.
+
+---
+
+## Implementation notes for Rio
+
+### Graph integration hooks (from Oberon coordination)
+
+These four graph events should fire during conversation:
+
+1. **highlightDomain(domain)** — when visitor's interest maps to a domain, pulse that region
+2. **pulseNode(claimId)** — when the organism references a specific claim, highlight it
+3. **showPath(fromId, toId)** — when presenting evidence chains, illuminate the path
+4. **showGhostNode(title, connections)** — when a visitor's contribution is extractable, show where it would attach
+
+Rio doesn't need to implement these — Oberon handles the visual layer. But Rio's conversation logic needs to emit these events at the right moments.
+
+### Conversation state to track
+
+- `visitor.thesis` — their stated position (from opening)
+- `visitor.domain` — detected domain interest(s)
+- `claims.presented[]` — don't repeat claims
+- `claims.challenged[]` — claims the visitor pushed back on
+- `contribution.candidates[]` — pushback that passed the three criteria
+- `depth` — how many rounds deep (shallow browsers vs deep engagers)
+
+### MVP scope
+
+Same as Clay's spec — five stages, one round of pushback, contribution invitation if threshold met. Rio performs it. Clay designed it.

agents/vida/musings/vital-signs-operationalization.md

@@ -0,0 +1,234 @@
+# Vital Signs Operationalization Spec
+
+*How to automate the five collective health vital signs for Milestone 4.*
+
+Each vital sign maps to specific data sources already available in the repo.
+The goal is scripts that can run on every PR merge (or on a cron) and produce
+a dashboard JSON.
+
+---
+
+## 1. Cross-Domain Linkage Density (circulation)
+
+**Data source:** All `.md` files in `domains/`, `core/`, `foundations/`
+
+**Algorithm:**
+1. For each claim file, extract all `[[wiki links]]` via regex: `\[\[([^\]]+)\]\]`
+2. For each link target, resolve to a file path and read its `domain:` frontmatter
+3. Compare link target domain to source file domain
+4. Calculate: `cross_domain_links / total_links` per domain and overall
+
+**Output:**
+```json
+{
+  "metric": "cross_domain_linkage_density",
+  "overall": 0.22,
+  "by_domain": {
+    "health": { "total_links": 45, "cross_domain": 12, "ratio": 0.27 },
+    "internet-finance": { "total_links": 38, "cross_domain": 8, "ratio": 0.21 }
+  },
+  "status": "healthy",
+  "threshold": { "low": 0.15, "high": 0.30 }
+}
+```
+
+**Implementation notes:**
+- Link resolution is the hard part. Titles are prose, not slugs. Need fuzzy matching or a title→path index.
+- CLAIM CANDIDATE: Build a `claim-index.json` mapping every claim title to its file path and domain. This becomes infrastructure for multiple vital signs.
+- Pre-step: generate index with `find domains/ core/ foundations/ -name "*.md"` → parse frontmatter → build `{title: path, domain: ...}`.
+
+---
+
+## 2. Evidence Freshness (metabolism)
+
+**Data source:** `source:` and `created:` frontmatter fields in all claim files
+
+**Algorithm:**
+1. For each claim, parse `created:` date
+2. Parse `source:` field — extract year references (regex: `\b(20\d{2})\b`)
+3. Calculate `claim_age = today - created_date`
+4. For fast-moving domains (health, ai-alignment, internet-finance): flag if `claim_age > 180 days`
+5. For slow-moving domains (cultural-dynamics, critical-systems): flag if `claim_age > 365 days`
+
+**Output:**
+```json
+{
+  "metric": "evidence_freshness",
+  "median_claim_age_days": 45,
+  "by_domain": {
+    "health": { "median_age": 30, "stale_count": 2, "total": 35, "status": "healthy" },
+    "ai-alignment": { "median_age": 60, "stale_count": 5, "total": 28, "status": "warning" }
+  },
+  "stale_claims": [
+    { "title": "...", "domain": "...", "age_days": 200, "path": "..." }
+  ]
+}
+```
+
+**Implementation notes:**
+- Source field is free text, not structured. Year extraction via regex is best-effort.
+- Better signal: compare `created:` date to `git log --follow` last-modified date. A claim created 6 months ago but enriched last week is fresh.
+- QUESTION: Should we track "source publication date" separately from "claim creation date"? A claim created today citing a 2020 study is using old evidence but was recently written.
+
+---
+
+## 3. Confidence Calibration Accuracy (immune function)
+
+**Data source:** `confidence:` frontmatter + claim body content
+
+**Algorithm:**
+1. For each claim, read `confidence:` level
+2. Scan body for evidence markers:
+   - **proven indicators:** "RCT", "randomized", "meta-analysis", "N=", "p<", "statistically significant", "replicated", "mathematical proof"
+   - **likely indicators:** "study", "data shows", "evidence", "research", "survey", specific numbers/percentages
+   - **experimental indicators:** "suggests", "argues", "framework", "model", "theory"
+   - **speculative indicators:** "may", "could", "hypothesize", "imagine", "if"
+3. Flag mismatches: `proven` claim with no empirical markers, `speculative` claim with strong empirical evidence
+
+**Output:**
+```json
+{
+  "metric": "confidence_calibration",
+  "total_claims": 200,
+  "flagged": 8,
+  "flag_rate": 0.04,
+  "status": "healthy",
+  "flags": [
+    { "title": "...", "confidence": "proven", "issue": "no empirical evidence markers", "path": "..." }
+  ]
+}
+```
+
+**Implementation notes:**
+- This is the hardest to automate well. Keyword matching is a rough proxy — an LLM evaluation would be more accurate but expensive.
+- Minimum viable: flag `proven` claims without any empirical markers. This catches the worst miscalibrations with low false-positive rate.
+- FLAG @Leo: Consider whether periodic LLM-assisted audits (like the foundations audit) are the right cadence rather than per-PR automation. Maybe automated for `proven` only, manual audit for `likely`.
+
+---
+
+## 4. Orphan Ratio (neural integration)
+
+**Data source:** All claim files + the claim-index from VS1
+
+**Algorithm:**
+1. Build a reverse-link index: for each claim, which other claims link TO it
+2. Claims with 0 incoming links are orphans
+3. Calculate `orphan_count / total_claims`
+
+**Output:**
+```json
+{
+  "metric": "orphan_ratio",
+  "total_claims": 200,
+  "orphans": 25,
+  "ratio": 0.125,
+  "status": "healthy",
+  "threshold": 0.15,
+  "orphan_list": [
+    { "title": "...", "domain": "...", "path": "...", "outgoing_links": 3 }
+  ]
+}
+```
+
+**Implementation notes:**
+- Depends on the same claim-index and link-resolution infrastructure as VS1.
+- Orphans with outgoing links are "leaf contributors" — they cite others but nobody cites them. These are the easiest to integrate (just add a link from a related claim).
+- Orphans with zero outgoing links are truly isolated — may indicate extraction without integration.
+- New claims are expected to be orphans briefly. Filter: exclude claims created in the last 7 days from the orphan count.
+
+---
+
+## 5. Review Throughput (homeostasis)
+
+**Data source:** GitHub PR data via `gh` CLI
+
+**Algorithm:**
+1. `gh pr list --state all --json number,state,createdAt,mergedAt,closedAt,title,author`
+2. Calculate per week: PRs opened, PRs merged, PRs pending
+3. Track review latency: `mergedAt - createdAt` for each merged PR
+4. Flag: backlog > 3 open PRs, or median review latency > 48 hours
+
+**Output:**
+```json
+{
+  "metric": "review_throughput",
+  "current_backlog": 2,
+  "median_review_latency_hours": 18,
+  "weekly_opened": 4,
+  "weekly_merged": 3,
+  "status": "healthy",
+  "thresholds": { "backlog_warning": 3, "latency_warning_hours": 48 }
+}
+```
+
+**Implementation notes:**
+- This is the easiest to implement — `gh` CLI provides structured JSON output.
+- Could run on every PR merge as a post-merge check.
+- QUESTION: Should we weight by PR size? A PR with 11 claims (like Theseus PR #50) takes longer to review than a 3-claim PR. Latency per claim might be fairer.
+
+---
+
+## Shared Infrastructure
+
+### claim-index.json
+
+All five vital signs benefit from a pre-computed index:
+
+```json
+{
+  "claims": [
+    {
+      "title": "the healthcare attractor state is...",
+      "path": "domains/health/the healthcare attractor state is....md",
+      "domain": "health",
+      "confidence": "likely",
+      "created": "2026-02-15",
+      "outgoing_links": ["claim title 1", "claim title 2"],
+      "incoming_links": ["claim title 3"]
+    }
+  ],
+  "generated": "2026-03-08T10:30:00Z"
+}
+```
+
+**Build script:** Parse all `.md` files with `type: claim` frontmatter. Extract title (first `# ` heading), domain, confidence, created, and all `[[wiki links]]`. Resolve links bidirectionally.
+
+### Dashboard aggregation
+
+A single `vital-signs.json` output combining all 5 metrics:
+
+```json
+{
+  "generated": "2026-03-08T10:30:00Z",
+  "overall_status": "healthy",
+  "vital_signs": {
+    "cross_domain_linkage": { ... },
+    "evidence_freshness": { ... },
+    "confidence_calibration": { ... },
+    "orphan_ratio": { ... },
+    "review_throughput": { ... }
+  }
+}
+```
+
+### Trigger options
+
+1. **Post-merge hook:** Run on every PR merge to main. Most responsive.
+2. **Daily cron:** Run once per day. Less noise, sufficient for trend detection.
+3. **On-demand:** Agent runs manually when doing health checks.
+
+Recommendation: daily cron for the dashboard, with post-merge checks only for review throughput (cheapest to compute, most time-sensitive).
+
+---
+
+## Implementation Priority
+
+| Vital Sign | Difficulty | Dependencies | Priority |
+|-----------|-----------|-------------|----------|
+| Review throughput | Easy | `gh` CLI only | 1 — implement first |
+| Orphan ratio | Medium | claim-index | 2 — reveals integration gaps |
+| Linkage density | Medium | claim-index + link resolution | 3 — reveals siloing |
+| Evidence freshness | Medium | date parsing | 4 — reveals calcification |
+| Confidence calibration | Hard | NLP/heuristics | 5 — partial automation, rest manual |
+
+Build claim-index first (shared dependency for 2, 3, 4), then review throughput (independent), then orphan ratio → linkage density → freshness → calibration.

foundations/cultural-dynamics/_map.md

@@ -9,6 +9,16 @@ Cultural evolution, memetics, master narrative theory, and paradigm shifts expla
 - [[memeplexes survive by combining mutually reinforcing memes that protect each other from external challenge through untestability threats and identity attachment]] — how idea-systems persist
 - [[the strongest memeplexes align individual incentive with collective behavior creating self-validating feedback loops]] — the design target for LivingIP
 
+## Community Formation
+- [[human social cognition caps meaningful relationships at approximately 150 because neocortex size constrains the number of individuals whose behavior and relationships can be tracked]] — the cognitive ceiling on group size
+- [[social capital erodes when associational life declines because trust generalized reciprocity and civic norms are produced by repeated face-to-face interaction in voluntary organizations not by individual virtue]] — how trust infrastructure is built and depleted
+- [[collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution]] — why groups don't naturally act in their shared interest
+- [[weak ties bridge otherwise disconnected clusters enabling information flow and opportunity access that strong ties within clusters cannot provide]] — the structural role of acquaintances
+
+## Selfplex and Identity
+- [[the self is a memeplex that persists because memes attached to a personal identity get copied more reliably than free-floating ideas]] — identity as replicator strategy
+- [[identity-protective cognition causes people to reject evidence that threatens their group identity even when they have the cognitive capacity to evaluate it correctly]] — why smarter people aren't less biased
+
 ## Propagation Dynamics
 - [[ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties]] — why ideas don't go viral like tweets
 - [[complex ideas propagate with higher fidelity through personal interaction than mass media because nuance requires bidirectional communication]] — fidelity vs reach tradeoff

foundations/cultural-dynamics/collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution.md

@@ -0,0 +1,39 @@
+---
+type: claim
+domain: cultural-dynamics
+description: "Olson's logic of collective action: large groups systematically underprovide public goods because individual incentives favor free-riding, and this problem worsens with group size — small concentrated groups outorganize large diffuse ones"
+confidence: proven
+source: "Olson 1965 The Logic of Collective Action; Ostrom 1990 Governing the Commons (boundary condition)"
+created: 2026-03-08
+---
+
+# collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution
+
+Mancur Olson's *The Logic of Collective Action* (1965) demolished the assumption that groups with shared interests will naturally act to advance those interests. The logic is straightforward: if a public good (clean air, national defense, industry lobbying) benefits everyone in a group regardless of whether they contributed, the individually rational strategy is to free-ride — enjoy the benefit without paying the cost. When everyone follows this logic, the public good is underprovided or not provided at all.
+
+Three mechanisms make large groups systematically worse at collective action than small ones. First, **imperceptibility**: in a large group, each individual's contribution is negligible — your donation to a million-person cause is invisible, reducing motivation. Second, **monitoring difficulty**: in large groups, it is harder to identify and sanction free-riders. Third, **asymmetric benefits**: in small groups, concentrated benefits per member can exceed individual costs, making action rational even without enforcement. The steel industry (few large firms, each with massive individual stake) organizes effectively; consumers (millions of people, each with tiny individual stake) do not.
+
+This produces Olson's central prediction: **small, concentrated groups will outorganize large, diffuse ones**, even when the large group's aggregate interest is greater. Industry lobbies defeat consumer interests. Medical associations restrict competition more effectively than patients can demand it. The concentrated few overcome the diffuse many not because they care more, but because the per-member stakes justify the per-member costs.
+
+Olson identifies two solutions: **selective incentives** (benefits available only to contributors — insurance, publications, social access) and **coercion** (mandatory participation — union closed shops, taxation). Both work by changing the individual payoff structure to make contribution rational regardless of others' behavior.
+
+**The Ostrom boundary condition.** [[Ostrom proved communities self-govern shared resources when eight design principles are met without requiring state control or privatization]]. Ostrom demonstrated that Olson's logic, while correct for anonymous large groups, does not hold for communities with clear boundaries, monitoring capacity, graduated sanctions, and local conflict resolution. Her design principles are precisely the institutional mechanisms that overcome Olson's free-rider problem without requiring either privatization or state coercion. The question is not whether collective action fails — it does, by default. The question is what institutional designs prevent the default from holding.
+
+For community-based coordination systems, Olson's logic is the baseline prediction: without explicit mechanism design, participation declines as group size increases. Selective incentives (ownership stakes, attribution, reputation) and Ostrom-style governance principles are not optional enhancements — they are the minimum requirements for sustained collective action.
+
+---
+
+Relevant Notes:
+- [[Ostrom proved communities self-govern shared resources when eight design principles are met without requiring state control or privatization]] — the boundary condition showing collective action CAN succeed with specific institutional design
+- [[coordination failures arise from individually rational strategies that produce collectively irrational outcomes because the Nash equilibrium of non-cooperation dominates when trust and enforcement are absent]] — Olson's free-rider problem is the specific mechanism by which coordination failure manifests in public goods provision
+- [[gamified contribution with ownership stakes aligns individual sharing with collective intelligence growth]] — selective incentives (ownership) as the mechanism design solution to Olson's free-rider problem
+- [[community ownership accelerates growth through aligned evangelism not passive holding]] — ownership transforms free-riders into stakeholders by changing the individual payoff structure
+- [[history is shaped by coordinated minorities with clear purpose not by majorities]] — Olson explains WHY: small groups can solve the collective action problem that large groups cannot
+- [[human social cognition caps meaningful relationships at approximately 150 because neocortex size constrains the number of individuals whose behavior and relationships can be tracked]] — Dunbar's number defines the scale at which informal monitoring works; beyond it, Olson's monitoring difficulty dominates
+- [[social capital erodes when associational life declines because trust generalized reciprocity and civic norms are produced by repeated face-to-face interaction in voluntary organizations not by individual virtue]] — social capital is the informal mechanism that mitigates free-riding through reciprocity norms and reputational accountability
+- [[the alignment tax creates a structural race to the bottom because safety training costs capability and rational competitors skip it]] — Olson's logic applied to AI labs: defection from safety is rational when the cost is immediate (capability lag) and the benefit is diffuse (safer AI ecosystem)
+- [[voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints]] — voluntary pledges are the AI governance instance of Olson's prediction: concentrated benefits of defection outweigh diffuse benefits of cooperation
+
+Topics:
+- [[memetics and cultural evolution]]
+- [[cultural-dynamics/_map]]

foundations/cultural-dynamics/human social cognition caps meaningful relationships at approximately 150 because neocortex size constrains the number of individuals whose behavior and relationships can be tracked.md

@@ -0,0 +1,36 @@
+---
+type: claim
+domain: cultural-dynamics
+description: "Dunbar's number (~150) is a cognitive constraint on group size derived from the correlation between primate neocortex ratio and social group size, with layered structure at 5/15/50/150/500/1500 reflecting decreasing emotional closeness"
+confidence: likely
+source: "Dunbar 1992 Journal of Human Evolution; Dunbar 2010 How Many Friends Does One Person Need?"
+created: 2026-03-08
+---
+
+# human social cognition caps meaningful relationships at approximately 150 because neocortex size constrains the number of individuals whose behavior and relationships can be tracked
+
+Robin Dunbar's social brain hypothesis establishes that primate social group size correlates with neocortex ratio — the proportion of brain devoted to the neocortex. For humans, this predicts a mean group size of approximately 150, a number that recurs across diverse social structures: Neolithic farming villages, Roman military centuries, Hutterite communities that split at ~150, average personal network sizes in modern surveys, and the typical size of functional organizational units.
+
+The mechanism is cognitive, not social. Maintaining a relationship requires tracking not just who someone is, but their relationships to others, their reliability, their emotional state, and shared history. This mentalizing capacity — modeling others' mental states and social connections — scales with neocortex volume. At ~150, the combinatorial explosion of third-party relationships exceeds what human cognitive architecture can track. Beyond this number, relationships become transactional rather than trust-based, requiring formal rules, hierarchies, and institutions to maintain cohesion.
+
+The number is not a hard boundary but the center of a layered structure. Dunbar identifies concentric circles of decreasing closeness: ~5 (intimate support group), ~15 (sympathy group — those whose death would be devastating), ~50 (close friends), ~150 (meaningful relationships), ~500 (acquaintances), ~1,500 (faces you can put names to). Each layer scales by roughly a factor of 3, and emotional closeness decreases with each expansion. The innermost circles require the most cognitive investment per relationship; the outermost require the least.
+
+This has direct implications for community formation and organizational design. Communities that grow beyond ~150 without introducing formal coordination mechanisms lose the trust-based cohesion that held them together. This is why [[trust is the binding constraint on network size and therefore on the complexity of products an economy can produce]] — trust operates naturally within Dunbar-scale groups but requires institutional scaffolding beyond them. It also explains why [[isolated populations lose cultural complexity because collective brains require minimum network size to sustain accumulated knowledge]] — the Tasmanian population of ~4,000 had enough Dunbar-scale groups for some cultural retention but insufficient interconnection between groups for full knowledge maintenance.
+
+For collective intelligence systems, Dunbar's number defines the scale at which informal coordination breaks down and formal mechanisms become necessary. The transition from trust-based to institution-based coordination is not a failure — it is the threshold where design must replace emergence.
+
+**Scope:** This claim is about cognitive constraints on individual social tracking, not about the optimal size for all social groups. Task-oriented teams, online communities, and algorithmically-mediated networks operate under different constraints. Dunbar's number bounds natural human social cognition, not designed coordination.
+
+---
+
+Relevant Notes:
+- [[trust is the binding constraint on network size and therefore on the complexity of products an economy can produce]] — trust is the coordination substrate that Dunbar's number constrains at the individual level
+- [[isolated populations lose cultural complexity because collective brains require minimum network size to sustain accumulated knowledge]] — network size must exceed Dunbar-scale for cultural accumulation, but interconnection between Dunbar-scale groups is what maintains it
+- [[collective brains generate innovation through population size and interconnectedness not individual genius]] — innovation requires networks larger than Dunbar's number, which is why institutional coordination is a prerequisite for complex civilization
+- [[Ostrom proved communities self-govern shared resources when eight design principles are met without requiring state control or privatization]] — Ostrom's design principles are the institutional mechanisms that extend coordination beyond Dunbar-scale groups
+- [[civilization was built on the false assumption that humans are rational individuals]] — Dunbar's number is another cognitive limitation that the rationality fiction obscures
+- [[humans are the minimum viable intelligence for cultural evolution not the pinnacle of cognition]] — the 150-person cap is evidence of minimal cognitive sufficiency, not optimal design
+
+Topics:
+- [[memetics and cultural evolution]]
+- [[cultural-dynamics/_map]]

foundations/cultural-dynamics/identity-protective cognition causes people to reject evidence that threatens their group identity even when they have the cognitive capacity to evaluate it correctly.md

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+---
+type: claim
+domain: cultural-dynamics
+description: "Kahan's identity-protective cognition thesis: individuals with higher scientific literacy are MORE polarized on culturally contested issues, not less, because they use their cognitive skills to defend identity-consistent positions rather than to converge on truth"
+confidence: likely
+source: "Kahan 2012 Nature Climate Change; Kahan 2017 Advances in Political Psychology; Kahan et al. 2013 Journal of Risk Research"
+created: 2026-03-08
+---
+
+# identity-protective cognition causes people to reject evidence that threatens their group identity even when they have the cognitive capacity to evaluate it correctly
+
+Dan Kahan's cultural cognition research produces one of social science's most disturbing findings: on culturally contested issues (climate change, gun control, nuclear power), individuals with higher scientific literacy and numeracy are *more* polarized, not less. People who score highest on cognitive reflection tests — those best equipped to evaluate evidence — show the largest gaps in risk perception between cultural groups. More information, more analytical capacity, and more education do not produce convergence. They produce more sophisticated defense of the position their identity demands.
+
+The mechanism is identity-protective cognition. When a factual claim is entangled with group identity — when "believing X" signals membership in a cultural group — the individual faces a conflict between epistemic accuracy and social belonging. Since the individual cost of holding an inaccurate belief about climate change is negligible (one person's belief changes nothing about the climate), while the cost of deviating from group identity is immediate and tangible (social ostracism, loss of status, identity threat), the rational individual strategy is to protect identity. Higher cognitive capacity simply provides better tools for motivated reasoning — more sophisticated arguments for the predetermined conclusion.
+
+Kahan's empirical work demonstrates this across multiple domains. In one study, participants who correctly solved a complex statistical problem about skin cream treatment effectiveness failed to solve an *identical* problem when the data was reframed as gun control evidence — but only when the correct answer contradicted their cultural group's position. The analytical capacity was identical. The identity stakes changed the outcome.
+
+This is the empirical mechanism behind [[the self is a memeplex that persists because memes attached to a personal identity get copied more reliably than free-floating ideas]]. The selfplex is the theoretical framework; identity-protective cognition is the measured behavior. When beliefs become load-bearing components of the selfplex, they are defended with whatever cognitive resources are available. Smarter people defend them more skillfully.
+
+The implications for knowledge systems and collective intelligence are severe. Presenting evidence does not change identity-integrated beliefs — the robust finding is that corrections often *fail* to update identity-entangled positions, producing stasis rather than convergence. The "backfire effect" (where challenged beliefs become *more* firmly held) was proposed by Nyhan & Reifler (2010) but has largely failed to replicate — Wood & Porter (2019, *Political Behavior*) found minimal evidence across 52 experiments, and Guess & Coppock (2020) confirm that outright backfire is rare. The core Kahan finding stands independently: identity-protective cognition prevents updating, even if it does not reliably reverse it. This means [[ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties]] operates not just at the social level but at the cognitive level: the "trusted sources" must be trusted by the target's identity group, or the evidence is processed as identity threat rather than information.
+
+**What works instead:** Kahan's research suggests two approaches that circumvent identity-protective cognition. First, **identity-affirmation**: when individuals are affirmed in their identity before encountering threatening evidence, they process the evidence more accurately — the identity threat is preemptively neutralized. Second, **disentangling facts from identity**: presenting evidence in ways that do not signal group affiliation reduces identity-protective processing. The messenger matters more than the message: the same data presented by an in-group source is processed as information, while the same data from an out-group source is processed as attack.
+
+**Scope:** This claim is about factual beliefs on culturally contested issues, not about values or preferences. Identity-protective cognition does not explain all disagreement — genuine value differences exist that are not reducible to motivated reasoning. The claim is that on empirical questions where evidence should produce convergence, group identity prevents it.
+
+---
+
+Relevant Notes:
+- [[the self is a memeplex that persists because memes attached to a personal identity get copied more reliably than free-floating ideas]] — the selfplex is the theoretical framework; identity-protective cognition is the measured behavior
+- [[memeplexes survive by combining mutually reinforcing memes that protect each other from external challenge through untestability threats and identity attachment]] — identity attachment is the specific trick that identity-protective cognition exploits at the individual level
+- [[civilization was built on the false assumption that humans are rational individuals]] — identity-protective cognition is perhaps the strongest evidence against the rationality assumption: even the most capable reasoners are identity-protective first
+- [[ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties]] — the "trusted sources" requirement is partly explained by identity-protective cognition: sources must be identity-compatible
+- [[collective intelligence within a purpose-driven community faces a structural tension because shared worldview correlates errors while shared purpose enables coordination]] — identity-protective cognition is the mechanism by which shared worldview correlates errors: community members protect community-consistent beliefs
+- [[some disagreements are permanently irreducible because they stem from genuine value differences not information gaps and systems must map rather than eliminate them]] — identity-protective cognition creates *artificially* irreducible disagreements on empirical questions by entangling facts with identity
+- [[metaphor reframing is more powerful than argument because it changes which conclusions feel natural without requiring persuasion]] — reframing works because it circumvents identity-protective cognition by presenting the same conclusion through a different identity lens
+- [[validation-synthesis-pushback is a conversational design pattern where affirming then deepening then challenging creates the experience of being understood]] — the validation step pre-empts identity threat, enabling more accurate processing of the subsequent challenge
+- [[AI alignment is a coordination problem not a technical problem]] — identity-protective cognition explains why technically sophisticated alignment researchers resist the coordination reframe when their identity is tied to technical approaches
+- [[voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints]] — identity-protective cognition among lab-affiliated researchers makes them better at defending the position that their lab's approach is sufficient
+
+Topics:
+- [[memetics and cultural evolution]]
+- [[cultural-dynamics/_map]]

foundations/cultural-dynamics/social capital erodes when associational life declines because trust generalized reciprocity and civic norms are produced by repeated face-to-face interaction in voluntary organizations not by individual virtue.md

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+---
+type: claim
+domain: cultural-dynamics
+description: "Putnam's social capital thesis: the decline of bowling leagues, PTAs, fraternal organizations, and civic associations in the US since the 1960s depleted the trust infrastructure that enables collective action — caused primarily by generational change, television, suburban sprawl, and time pressure"
+confidence: likely
+source: "Putnam 2000 Bowling Alone; Fukuyama 1995 Trust; Henrich 2016 The Secret of Our Success"
+created: 2026-03-08
+---
+
+# social capital erodes when associational life declines because trust generalized reciprocity and civic norms are produced by repeated face-to-face interaction in voluntary organizations not by individual virtue
+
+Robert Putnam's *Bowling Alone* (2000) documented the decline of American civic engagement across multiple dimensions: PTA membership down 40% since 1960, fraternal organization membership halved, league bowling collapsed while individual bowling rose, church attendance declined, dinner party hosting dropped, union membership fell from 33% to 14% of the workforce. The data spans dozens of indicators across decades, making it one of the most comprehensive empirical accounts of social change in American sociology.
+
+The mechanism Putnam identifies is generative, not merely correlational. Voluntary associations — bowling leagues, Rotary clubs, church groups, PTAs — produce social capital as a byproduct of repeated interaction. When people meet regularly for shared activities, they develop generalized trust (willingness to trust strangers based on community norms), reciprocity norms (the expectation that favors will be returned, not by the individual but by the community), and civic skills (the practical ability to organize, deliberate, and coordinate). These are public goods: they benefit the entire community, not just participants.
+
+Social capital comes in two forms that map directly to network structure. **Bonding** social capital strengthens ties within homogeneous groups (ethnic communities, religious congregations, close-knit neighborhoods) — these are the strong ties that enable complex contagion and mutual aid. **Bridging** social capital connects across groups (civic organizations that bring together people of different backgrounds) — these are the weak ties that [[weak ties bridge otherwise disconnected clusters enabling information flow and opportunity access that strong ties within clusters cannot provide]]. A healthy civic ecosystem needs both: bonding for support and identity, bridging for information flow and broad coordination.
+
+Putnam identifies four primary causes of decline: (1) **Generational replacement** — the civic generation (born 1910-1940) who joined everything is being replaced by boomers and Gen X who join less, accounting for roughly half the decline. (2) **Television** — each additional hour of TV watching correlates with reduced civic participation; Putnam's regression decomposition attributes roughly 25% of the variance in participation decline to TV watching, though the causal interpretation is contested (TV watching and disengagement may both be downstream of time constraints or value shifts). (3) **Suburban sprawl** — commuting time directly substitutes for civic time; each 10 minutes of commuting reduces all forms of social engagement. (4) **Time and money pressures** — dual-income families have less discretionary time for voluntary associations.
+
+The implication is that social capital is *infrastructure*, not character. It is produced by specific social structures (voluntary associations with regular face-to-face interaction) and depleted when those structures erode. This connects to [[trust is the binding constraint on network size and therefore on the complexity of products an economy can produce]] — Putnam's social capital is the micro-mechanism by which trust is produced and sustained at the community level. When associational life declines, trust declines, and the capacity for collective action degrades.
+
+**Scope:** This claim is about the mechanism by which social capital is produced and depleted, not about whether the internet has offset Putnam's decline. Online communities may generate bonding social capital within interest groups, but their capacity to generate bridging social capital and generalized trust remains empirically contested. The claim is structural: repeated face-to-face interaction in voluntary organizations produces trust as a public good. Whether digital interaction can substitute remains an open question.
+
+---
+
+Relevant Notes:
+- [[trust is the binding constraint on network size and therefore on the complexity of products an economy can produce]] — Putnam's social capital is the micro-mechanism that produces the trust Hidalgo identifies as the binding constraint on economic complexity
+- [[weak ties bridge otherwise disconnected clusters enabling information flow and opportunity access that strong ties within clusters cannot provide]] — bridging social capital IS the Granovetter weak-tie mechanism applied to civic life
+- [[human social cognition caps meaningful relationships at approximately 150 because neocortex size constrains the number of individuals whose behavior and relationships can be tracked]] — voluntary associations work within Dunbar-scale groups, creating the repeated interaction needed for trust formation
+- [[ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties]] — bonding social capital provides the clustered strong-tie exposure that complex contagion requires
+- [[technology creates interconnection but not shared meaning which is the precise gap that produces civilizational coordination failure]] — Putnam's decline is the social infrastructure version of Ansary's meaning gap: connectivity without trust-producing institutions
+- [[coordination failures arise from individually rational strategies that produce collectively irrational outcomes because the Nash equilibrium of non-cooperation dominates when trust and enforcement are absent]] — social capital is the informal enforcement mechanism that shifts Nash equilibria toward cooperation without formal institutions
+- [[modernization dismantles family and community structures replacing them with market and state relationships that increase individual freedom but erode psychosocial foundations of wellbeing]] — Putnam's decline is the American instance of the broader modernization-driven erosion of community structures
+
+Topics:
+- [[memetics and cultural evolution]]
+- [[cultural-dynamics/_map]]

foundations/cultural-dynamics/the self is a memeplex that persists because memes attached to a personal identity get copied more reliably than free-floating ideas.md

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+---
+type: claim
+domain: cultural-dynamics
+description: "Blackmore's selfplex: personal identity is a cluster of mutually reinforcing memes (beliefs, values, narratives, preferences) organized around a central 'I' that provides a replication advantage — memes attached to identity spread through self-expression and resist displacement through identity-protective mechanisms"
+confidence: experimental
+source: "Blackmore 1999 The Meme Machine; Dennett 1991 Consciousness Explained; Henrich 2016 The Secret of Our Success"
+created: 2026-03-08
+---
+
+# the self is a memeplex that persists because memes attached to a personal identity get copied more reliably than free-floating ideas
+
+Susan Blackmore's concept of the "selfplex" is the application of memetic theory to personal identity. The self — "I" — is not a biological given but a memeplex: a cluster of mutually reinforcing memes (beliefs, values, preferences, narratives, group affiliations) organized around a central fiction of a unified agent. The selfplex persists because memes attached to it gain a replication advantage: a belief that is "part of who I am" gets expressed more frequently, defended more vigorously, and transmitted more reliably than a belief held lightly.
+
+The mechanism works through three channels. First, **expression frequency**: people talk about what they identify with. A person who identifies as an environmentalist mentions environmental issues more often than someone who merely agrees that pollution is bad. The identity-attached meme gets more transmission opportunities. Second, **defensive vigor**: when a meme is part of the selfplex, challenges to it feel like challenges to the self. This triggers emotional defense responses that protect the meme from displacement — the same [[memeplexes survive by combining mutually reinforcing memes that protect each other from external challenge through untestability threats and identity attachment]] mechanism, but applied to the personal identity rather than a collective ideology. Third, **social signaling**: expressing identity-consistent beliefs signals group membership, which activates reciprocal transmission from fellow group members.
+
+Blackmore builds on Dennett's "center of narrative gravity" — the self is a story we tell about ourselves, not a thing we discover. But she adds the evolutionary dimension: the selfplex is not just a narrative convenience. It is a replicator strategy. Memes that successfully attach to the selfplex gain protection, expression, and transmission advantages that free-floating memes do not. The self is the ultimate host environment for memes.
+
+This has direct implications for belief updating. When evidence contradicts a belief that is integrated into the selfplex, the rational response (update the belief) conflicts with the memetic response (protect the selfplex). The selfplex wins more often than not because the emotional cost of identity threat exceeds the cognitive benefit of accuracy. This explains why [[civilization was built on the false assumption that humans are rational individuals]] — rationality assumes beliefs are held for epistemic reasons, but selfplex theory shows they are held for identity reasons, with epistemic justification constructed post-hoc.
+
+**Scope and confidence.** Rated experimental because the selfplex is a theoretical construct, not an empirically isolated mechanism. The component observations are well-established (identity-consistent beliefs are expressed and defended more vigorously, belief change is harder for identity-integrated beliefs). But whether "selfplex" as a coherent replicator unit adds explanatory power beyond these individual effects is debated. The strongest version of the claim — that the self is *literally* a memeplex with its own replication dynamics — is a theoretical framework, not an empirical finding.
+
+---
+
+Relevant Notes:
+- [[memeplexes survive by combining mutually reinforcing memes that protect each other from external challenge through untestability threats and identity attachment]] — the selfplex IS the identity attachment trick applied to the individual rather than the collective
+- [[civilization was built on the false assumption that humans are rational individuals]] — the selfplex explains WHY the rationality assumption fails: beliefs serve identity before truth
+- [[meme propagation selects for simplicity novelty and conformity pressure rather than truth or utility]] — selfplex attachment is a fourth selection pressure: memes that attach to identity replicate regardless of simplicity, novelty, or conformity
+- [[the strongest memeplexes align individual incentive with collective behavior creating self-validating feedback loops]] — the selfplex is the individual-level version: self-expression validates self-identity in a feedback loop
+- [[true imitation is the threshold capacity that creates a second replicator because only faithful copying of behaviors enables cumulative cultural evolution]] — the selfplex is a higher-order organization of the second replicator, organizing memes into identity-coherent clusters
+- [[collective intelligence within a purpose-driven community faces a structural tension because shared worldview correlates errors while shared purpose enables coordination]] — shared selfplex structures within a community correlate errors through identity-protective cognition
+
+Topics:
+- [[memetics and cultural evolution]]
+- [[cultural-dynamics/_map]]

foundations/cultural-dynamics/weak ties bridge otherwise disconnected clusters enabling information flow and opportunity access that strong ties within clusters cannot provide.md

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+---
+type: claim
+domain: cultural-dynamics
+description: "Granovetter's strength of weak ties shows that acquaintances bridge structural holes between dense clusters, providing access to non-redundant information — but this applies to simple contagion (information), not complex contagion (behavioral/ideological change)"
+confidence: proven
+source: "Granovetter 1973 American Journal of Sociology; Burt 2004 structural holes; Centola 2010 Science (boundary condition)"
+created: 2026-03-08
+---
+
+# weak ties bridge otherwise disconnected clusters enabling information flow and opportunity access that strong ties within clusters cannot provide
+
+Mark Granovetter's 1973 paper "The Strength of Weak Ties" established one of network science's most counterintuitive and empirically robust findings: acquaintances (weak ties) are more valuable than close friends (strong ties) for accessing novel information and opportunities. The mechanism is structural, not relational. Strong ties cluster — your close friends tend to know each other and share the same information. Weak ties bridge — your acquaintances connect you to entirely different social clusters with non-redundant information.
+
+The original evidence came from job-seeking: Granovetter found that 84% of respondents who found jobs through personal contacts used weak ties rather than strong ones. The information that led to employment came from people they saw "occasionally" or "rarely," not from close friends. This is because close friends circulate in the same information environment — they know what you already know. Acquaintances have access to different information pools entirely.
+
+Ronald Burt extended this into "structural holes" theory: the most valuable network positions are those that bridge gaps between otherwise disconnected clusters. Individuals who span structural holes have access to diverse, non-redundant information and can broker between groups. This creates information advantages, earlier access to opportunities, and disproportionate influence — not because of personal ability but because of network position.
+
+**The critical boundary condition.** Granovetter's thesis holds for *information* flow — simple contagion where a single exposure is sufficient for transmission. But [[ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties]]. Centola's research demonstrates that for behavioral and ideological change, weak ties are actually *counterproductive*: a signal arriving via a weak tie comes without social reinforcement. Complex contagion requires the redundant, trust-rich exposure that strong ties and clustered networks provide. This creates a fundamental design tension: the same network structure that maximizes information flow (bridging weak ties) minimizes ideological adoption (which needs clustered strong ties).
+
+For any system that must both spread information widely and drive deep behavioral change, the implication is a two-phase architecture: weak ties for awareness and information discovery, strong ties for adoption and commitment. Broadcasting reaches everyone; community converts the committed.
+
+---
+
+Relevant Notes:
+- [[ideological adoption is a complex contagion requiring multiple reinforcing exposures from trusted sources not simple viral spread through weak ties]] — the boundary condition that limits weak tie effectiveness to simple contagion
+- [[complex ideas propagate with higher fidelity through personal interaction than mass media because nuance requires bidirectional communication]] — strong ties enable the bidirectional communication that nuanced ideas require
+- [[trust is the binding constraint on network size and therefore on the complexity of products an economy can produce]] — trust operates through strong ties within clusters; weak ties enable information flow between clusters but do not carry trust
+- [[collective brains generate innovation through population size and interconnectedness not individual genius]] — weak ties provide the interconnectedness that makes collective brains work by connecting otherwise siloed knowledge pools
+- [[partial connectivity produces better collective intelligence than full connectivity on complex problems because it preserves diversity]] — partial connectivity preserves the cluster structure that weak ties bridge, maintaining both diversity and connection
+- [[cross-domain knowledge connections generate disproportionate value because most insights are siloed]] — cross-domain connections are the intellectual equivalent of weak ties bridging structural holes
+
+Topics:
+- [[memetics and cultural evolution]]
+- [[cultural-dynamics/_map]]

inbox/archive/1965-00-00-olson-logic-of-collective-action.md

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+---
+type: source
+title: "The Logic of Collective Action: Public Goods and the Theory of Groups"
+author: "Mancur Olson"
+url: https://en.wikipedia.org/wiki/The_Logic_of_Collective_Action
+date: 1965-01-01
+domain: cultural-dynamics
+format: book
+status: processed
+processed_by: clay
+processed_date: 2026-03-08
+claims_extracted:
+  - "collective action fails by default because rational individuals free-ride on group efforts when they cannot be excluded from benefits regardless of contribution"
+tags: [collective-action, free-rider, public-goods, political-economy]
+---
+
+# The Logic of Collective Action
+
+Canonical political economy text establishing that rational self-interest leads to collective action failure in large groups. Foundational for mechanism design, governance theory, and coordination infrastructure analysis.

inbox/archive/1973-00-00-granovetter-strength-of-weak-ties.md

@@ -0,0 +1,19 @@
+---
+type: source
+title: "The Strength of Weak Ties"
+author: "Mark Granovetter"
+url: https://doi.org/10.1086/225469
+date: 1973-05-01
+domain: cultural-dynamics
+format: paper
+status: processed
+processed_by: clay
+processed_date: 2026-03-08
+claims_extracted:
+  - "weak ties bridge otherwise disconnected clusters enabling information flow and opportunity access that strong ties within clusters cannot provide"
+tags: [network-science, weak-ties, social-networks, information-flow]
+---
+
+# The Strength of Weak Ties
+
+Foundational network science paper demonstrating that weak interpersonal ties serve as bridges between densely connected clusters, enabling information flow and opportunity access that strong ties cannot provide. Published in American Journal of Sociology.

inbox/archive/1992-00-00-dunbar-neocortex-size-group-size.md

@@ -0,0 +1,19 @@
+---
+type: source
+title: "Neocortex size as a constraint on group size in primates"
+author: "Robin Dunbar"
+url: https://doi.org/10.1016/0047-2484(92)90081-J
+date: 1992-06-01
+domain: cultural-dynamics
+format: paper
+status: processed
+processed_by: clay
+processed_date: 2026-03-08
+claims_extracted:
+  - "human social cognition caps meaningful relationships at approximately 150 because neocortex size constrains the number of individuals whose behavior and relationships can be tracked"
+tags: [dunbar-number, social-cognition, group-size, evolutionary-psychology]
+---
+
+# Neocortex Size as a Constraint on Group Size in Primates
+
+Original paper establishing the correlation between neocortex ratio and social group size across primates, extrapolating ~150 as the natural group size for humans. Published in Journal of Human Evolution. Extended in Dunbar 2010 *How Many Friends Does One Person Need?*

inbox/archive/1999-00-00-blackmore-meme-machine.md

@@ -0,0 +1,19 @@
+---
+type: source
+title: "The Meme Machine"
+author: "Susan Blackmore"
+url: https://en.wikipedia.org/wiki/The_Meme_Machine
+date: 1999-01-01
+domain: cultural-dynamics
+format: book
+status: processed
+processed_by: clay
+processed_date: 2026-03-08
+claims_extracted:
+  - "the self is a memeplex that persists because memes attached to a personal identity get copied more reliably than free-floating ideas"
+tags: [memetics, selfplex, identity, cultural-evolution]
+---
+
+# The Meme Machine
+
+Theoretical framework extending Dawkins's meme concept. Introduces the "selfplex" — the self as a memeplex that provides a stable platform for meme replication. The self is not a biological given but a culturally constructed complex of mutually reinforcing memes.

inbox/archive/2000-00-00-putnam-bowling-alone.md

@@ -0,0 +1,19 @@
+---
+type: source
+title: "Bowling Alone: The Collapse and Revival of American Community"
+author: "Robert Putnam"
+url: https://en.wikipedia.org/wiki/Bowling_Alone
+date: 2000-01-01
+domain: cultural-dynamics
+format: book
+status: processed
+processed_by: clay
+processed_date: 2026-03-08
+claims_extracted:
+  - "social capital erodes when associational life declines because trust generalized reciprocity and civic norms are produced by repeated face-to-face interaction in voluntary organizations not by individual virtue"
+tags: [social-capital, civic-engagement, trust, community]
+---
+
+# Bowling Alone
+
+Comprehensive empirical account of declining American civic engagement since the 1960s. Documents the erosion of social capital — generalized trust, reciprocity norms, and civic skills — as voluntary associations decline. Identifies four causal factors: generational replacement, television, suburban sprawl, and time pressure.

inbox/archive/2012-00-00-kahan-identity-protective-cognition.md

@@ -0,0 +1,19 @@
+---
+type: source
+title: "The polarizing impact of science literacy and numeracy on perceived climate change risks"
+author: "Dan Kahan"
+url: https://doi.org/10.1038/nclimate1547
+date: 2012-05-27
+domain: cultural-dynamics
+format: paper
+status: processed
+processed_by: clay
+processed_date: 2026-03-08
+claims_extracted:
+  - "identity-protective cognition causes people to reject evidence that threatens their group identity even when they have the cognitive capacity to evaluate it correctly"
+tags: [identity-protective-cognition, cultural-cognition, polarization, motivated-reasoning]
+---
+
+# The Polarizing Impact of Science Literacy and Numeracy on Perceived Climate Change Risks
+
+Published in Nature Climate Change. Demonstrates that higher scientific literacy and numeracy predict *greater* polarization on culturally contested issues, not less. Extended by Kahan 2017 (Advances in Political Psychology) and Kahan et al. 2013 (Journal of Risk Research) with the gun-control statistics experiment.