skills/munger-worldly-wisdom/SKILL.md
Multidisciplinary decision-making using mental models from psychology, economics, mathematics, and science to identify high-conviction opportunities and avoid cognitive biases. Keywords: latticework, lollapalooza, circle of competence, inversion, moats. NOT for single-discipline analysis, high-frequency trading, or speculative diversification.
npx skillsauth add curiositech/windags-skills munger-worldly-wisdomInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Apply multidisciplinary mental models to make few, high-conviction decisions within your circle of competence.
✅ Use for: Investment decisions, business strategy, complex problem-solving, evaluating competitive advantages, designing incentive systems, long-term capital allocation, avoiding cognitive biases ❌ NOT for: High-frequency trading, technical analysis, single-discipline academic research, speculative opportunities outside competence, situations requiring immediate action without analysis
1. Three-Basket Screen
├─ Can I understand this business deeply?
│ ├─ NO → Reject immediately (pharmaceuticals, complex tech)
│ ├─ TOO COMPLEX → Reject immediately
│ └─ YES → Continue to step 2
│
2. Competitive Moat Assessment
├─ Does it have durable competitive advantages?
│ ├─ Brand strength → Assess psychological lock-in
│ ├─ Scale economies → Calculate cost advantage
│ ├─ Network effects → Evaluate switching costs
│ ├─ Regulatory protection → Check durability
│ └─ NO MOAT → Reject (commodity business)
│
3. Business Quality Check
├─ Will productivity improvements stay with owners or flow to customers?
│ ├─ FLOW TO CUSTOMERS → Reject (textile trap)
│ └─ STAY WITH OWNERS → Continue
│
4. Intrinsic Value vs. Market Price
├─ Calculate free cash flow (not reported earnings)
├─ Assess whole business value
├─ Does intrinsic value significantly exceed price?
│ ├─ NO → Wait (no margin of safety)
│ └─ YES → Continue to step 5
│
5. Psychological Checklist
├─ Am I being influenced by incentive-caused bias?
├─ Is social proof driving my judgment?
├─ Am I victim of consistency principle (defending past decision)?
├─ Could lollapalooza effect (multiple forces) be creating misjudgment?
│ └─ ANY YES → Re-evaluate objectively
│
6. Opportunity Cost Comparison
├─ Is this the best use of capital vs. alternatives?
│ ├─ NO → Wait for better opportunity
│ └─ YES → Continue to step 7
│
7. Action Decision
└─ Do ALL factors align perfectly?
├─ NO → Do nothing (sit on ass)
└─ YES → Commit large percentage of capital, hold with zero turnover
1. Identify Big Ideas from Major Disciplines
├─ Psychology: cognitive biases, operant conditioning, social proof
├─ Economics: competitive advantage, incentives, supply/demand
├─ Mathematics: probability, compound interest, permutations
├─ Physics: critical mass, equilibrium, relativity
├─ Biology: evolution, ecosystem niches, complex systems
└─ Master 80-90 core models (carry 90% of freight)
2. For Each Problem, Apply Multiple Models
├─ What does psychology say?
├─ What does economics say?
├─ What does mathematics say?
├─ What does physics say?
└─ Where do models reinforce? (lollapalooza check)
3. Inversion Check
├─ Think forward: What creates success?
├─ Think backward: What guarantees failure?
└─ Synthesize insights from both directions
4. Disconfirming Evidence Search
├─ What would prove this wrong?
├─ Am I protecting cherished beliefs?
└─ Darwin method: spend time trying to disprove own theory
Before any major decision:
☐ Have I applied models from multiple disciplines?
☐ Have I thought this through backward (inversion)?
☐ Am I within my circle of competence?
☐ Have I checked for incentive-caused bias?
☐ Have I sought disconfirming evidence?
☐ Could psychological forces be creating lollapalooza effect?
☐ What's the opportunity cost?
☐ Have I identified what could go wrong?
☐ Is this a one-foot fence with big reward, not seven-foot fence?
☐ Can I wait for better circumstances if anything is uncertain?
Novice approach: Constant trading and portfolio activity; belief that doing something is always better than doing nothing; inability to sit still.
Expert approach: Make 3-10 major decisions over entire career; practice "sit-on-your-ass investing"; hold positions with virtually zero turnover; wait months or years for perfect opportunity.
Timeline: Novices exhaust themselves in years through trading costs and taxes. Experts compound wealth over decades through patience—Berkshire's success came from handful of decisions over 50+ years.
Shibboleth: "We don't leap seven-foot fences. We look for one-foot fences with big rewards on the other side."
Novice approach: Apply single discipline to every problem; torture reality to fit available models; rely exclusively on specialty training.
Expert approach: Build latticework of 80-90 mental models from 8-10 disciplines; apply multiple lenses to each problem; check for lollapalooza effects where models combine.
Timeline: Single-discipline thinking produces persistent blind spots throughout career. Multidisciplinary fluency takes 10-20 years to build but reveals second-order effects invisible to specialists.
Shibboleth: "To the man with only a hammer, every problem looks like a nail."
Novice approach: Defend losing investments due to consistency principle; unable to admit mistakes; sweep big troubles under rug; become emotionally attached to holdings.
Expert approach: Remain situation-dependent and opportunity-driven; write off losses immediately to preserve capital; maintain extreme objectivity like Darwin seeking to disprove own theories.
Timeline: Novices go broke defending mistakes over months/years. Experts cut losses within days/weeks and reallocate to better opportunities.
Shibboleth: "Be willing to write off losses to live to fight again."
Novice approach: Spread capital across 50-200+ stocks; treat diversification as safety; signal lack of conviction through excessive spreading.
Expert approach: Concentrate 50-90% of capital in 3-10 high-conviction positions within circle of competence; recognize portfolio of three great companies provides sufficient safety.
Timeline: Over-diversification compounds to mediocrity over decades. Concentration in quality compounds to extraordinary returns—Berkshire remained 90% in one equity position.
Shibboleth: "It's rational to remain 90% concentrated in one quality equity."
Novice approach: Make decisions on purely rational basis; ignore incentive-caused bias, social proof, consistency tendency, deprival super-reaction syndrome.
Expert approach: Apply two-track analysis—rational factors AND psychological forces; use psychological checklist; design systems anticipating cognitive limitations.
Timeline: Psychology-blind investors repeat New Coke, LTCM-type disasters throughout career. Psychology-aware investors like Munger identify opportunities others miss (Coca-Cola lollapalooza effect).
Shibboleth: "Very smart people make bonkers mistakes by ignoring psychology."
Novice approach: Insist on firsthand trial-and-error; dismiss vicarious learning; repeat common disasters like drunk driving analogy.
Expert approach: Learn vicariously through biographies, case studies, history; stand on shoulders of giants; absorb elementary worldly wisdom from $30 history books.
Timeline: Personal-only learning guarantees second-rate achievement over entire career. Vicarious learning compresses centuries of wisdom into years of study.
Shibboleth: "There are answers worth billions of dollars in a $30 history book."
Framework of fundamental concepts from multiple disciplines creating interconnected structure for hanging experiences. Single models insufficient; need 80-90 core models for worldly wisdom.
Boundary separating domains of genuine understanding from areas where others have advantages. Stay within boundaries; expand slowly; admit ignorance confidently.
Extreme cascading results when multiple psychological/economic forces operate in same direction simultaneously. Coca-Cola success = operant conditioning + Pavlovian association + social proof + scale economies + distribution advantages.
Solve problems backward: "What guarantees failure?" instead of "What creates success?" Reveals hidden obstacles forward thinking misses. Darwin method: spend time trying to disprove own best-loved theories.
Subconscious distortion of cognition from financial/psychological incentives. Most powerful psychological tendency. Must design systems anticipating it, not rely on moral exhortation.
Durable competitive advantages protecting business from rivals: brand strength, network effects, scale economies, switching costs, regulatory protection. Width and durability determine long-term value.
Irrational overreaction to loss of something already possessed. New Coke fiasco: consumers valued existing product disproportionately. Makes established brands extraordinarily valuable.
1930s-1960s (Graham Era): Value = stocks below working capital. Quantitative formulas. Post-Depression bargains abundant.
1960s-1980s (Munger-Buffett Shift): Recognition that great businesses at 2-3x book value superior to cheap commodity businesses. Quality > absolute cheapness. Textile experience taught productivity gains flow to customers in commodity industries.
1990s-2000s (Fee Explosion): Institutions shifted to complex fund-of-funds, multiple consultant layers, exotic partnerships. Total costs reached 3% annually. "Febezzlement" through fee layering.
2000s-Present (Multidisciplinary Integration): Growing recognition that academic balkanization harmful. Behavioral economics mainstream. Business schools require psychology. Medical schools teach communication. Hard science organizing ethos applied to soft science.
tools
Building resilient distributed systems with circuit breakers, retries with full-jitter exponential backoff, retry budgets (per-request 3-attempt + per-client 10% ratio per Google SRE), deadline propagation, and the cascading-failure math (4 layers × 3 retries = 64x amplification). Grounded in Resilience4j, Microsoft Cloud Patterns, AWS Architecture Blog (Marc Brooker), and Google SRE Book.
testing
Designing HTTP cache headers that work correctly across browsers, CDNs, and shared proxies — `Cache-Control` directives per RFC 9111, `stale-while-revalidate` and `stale-if-error` per RFC 5861, the Vary header for varying responses, and surrogate keys for tag-based purging. Grounded in IETF RFCs and Cloudflare/Fastly docs.
development
Use when designing or fixing a Content Security Policy on a real site, choosing between nonce-based and hash-based CSP, adding strict-dynamic, debugging "Refused to execute inline script" errors, deploying CSP in report-only mode first, configuring report-to / report-uri, or auditing an existing policy for unsafe-inline / unsafe-eval / wildcards. Triggers: "CSP blocks legitimate inline script", strict-dynamic, nonce-{RANDOM}, sha256-{HASH}, object-src none, base-uri none, frame-ancestors, Trusted Types, X-Content-Security-Policy obsolete, report-only vs enforced. NOT for general HTTP security headers (HSTS, COOP/COEP), Trusted Types deep dive, CORS configuration, or building a WAF.
tools
Choosing and operating an HTTP API versioning strategy that doesn't break clients — Stripe's date-based pinned versions, the Deprecation/Sunset header pair (RFC 9745 + RFC 8594), URI vs header vs media-type approaches, and the version-transformer pattern. Grounded in Stripe's published architecture and IETF RFCs.