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.
data-ai
license: Apache-2.0 NOT for unrelated tasks outside this domain.
development
Use when designing caching strategies (cache-aside, write-through, write-behind), implementing distributed locks, building rate limiters, leaderboards, real-time streams (XADD/consumer groups), pub/sub, or tuning eviction policies. Triggers: thundering-herd on cache miss, dogpile on key expiry, Redlock vs SET-NX-PX choice, sliding-window rate limiter, hot-key on a single cluster slot, big-key blowup, MULTI/EXEC across slots, KEYS in production. NOT for Redis Cluster operations/admin (different domain), embedded KV (SQLite, leveldb), in-process LRU caches, or Memcached.
tools
Drawing the `'use client'` boundary correctly in React Server Components apps (Next.js App Router, RSC frameworks) — leaf-pushing, slot composition, serialization rules, and environment poisoning prevention. Grounded in react.dev and Next.js 16 docs.
development
Use when designing rate limiting for an API, choosing between token bucket / sliding window / leaky bucket / fixed window, implementing it in Redis, deciding edge (Cloudflare/Upstash) vs origin enforcement, sizing per-user vs per-IP vs per-endpoint quotas, returning the right 429 response with Retry-After, or fixing the boundary-burst bug in fixed-window limiters. Triggers: 429 too many requests, INCR + EXPIRE, ZADD + ZREMRANGEBYSCORE + ZCARD, X-RateLimit-Remaining header, Cloudflare WAF rate limiting rules, Upstash @upstash/ratelimit, leaky bucket shaping vs policing, distributed rate limiter consistency. NOT for DDoS mitigation specifically (different scale), CAPTCHA / bot management, full WAF design, or per-user quota billing.