mental-models

by wanikua

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SKILL.md About

---
name: mental-models
description: Apply a Munger-style latticework of mental models from multiple disciplines to analyze a problem. Use when the user needs multi-disciplinary perspective, wants to avoid single-framework bias, or needs to triangulate insights from physics, biology, psychology, economics, math, and history simultaneously.
---

# Mental Models (Munger-Style Latticework)

**Mental models** are simplified representations of how the world works, drawn from multiple disciplines. Charlie Munger's key insight: you need a **latticework of mental models** from many fields — not just one hammer looking for nails. By viewing a problem through multiple disciplinary lenses simultaneously, you get triangulated wisdom that no single perspective can provide. The goal is to have ~100 models and know when each applies.

---

Analyze the current topic or problem under discussion through the **latticework of mental models**. Apply models from at least 6 different disciplines. Cross-reference and triangulate. Apply this framework to whatever the user is currently working on or asking about.

---

## Discipline 1: Physics & Engineering

Apply relevant models:

- **Leverage** — Where is the point of maximum leverage? Small input, large output?
- **Friction** — What friction exists in the system? What would reducing friction enable?
- **Critical mass** — Is there a threshold that, once crossed, triggers self-sustaining change?
- **Entropy** — Is this system tending toward disorder? What energy is needed to maintain order?
- **Feedback loops** — Positive (amplifying) or negative (stabilizing) feedback?
- **Redundancy & margin of safety** — Where are the single points of failure?
- **Resonance** — Is there a frequency/timing that amplifies the effect?

Which physics/engineering model is most illuminating here, and what does it reveal?

## Discipline 2: Biology & Evolution

- **Natural selection** — What is being selected for? What traits survive in this environment?
- **Adaptation vs. extinction** — Is the subject adapting fast enough to environmental change?
- **Ecosystem dynamics** — What is the ecosystem? Who are the predators, prey, symbiotes, parasites?
- **Red Queen effect** — Do you have to keep running just to stay in place?
- **Niche construction** — Is the subject changing its environment, not just adapting to it?
- **Immune system** — What are the defense mechanisms? What gets past them?
- **Punctuated equilibrium** — Long stability interrupted by sudden change?

Which biological model fits best, and what does it predict?

## Discipline 3: Psychology & Behavioral Science

- **Incentives** — What behaviors are being rewarded? (Munger: "Show me the incentive and I'll show you the outcome.")
- **Loss aversion** — Are people weighing losses ~2x more than equivalent gains?
- **Social proof** — Is behavior driven by what others are doing rather than independent analysis?
- **Commitment & consistency bias** — Are people doubling down because they've already committed?
- **Availability heuristic** — Are recent/vivid events distorting probability estimates?
- **Narrative fallacy** — Are we constructing a story that feels right but doesn't match the data?
- **Pavlovian association** — What conditioned responses are at play?
- **Dunning-Kruger** — Who is overconfident? Who is underconfident?

Which psychological model explains the most about the human behavior in this situation?

## Discipline 4: Economics & Business

- **Supply and demand** — What shifts the curves? Where is equilibrium moving?
- **Comparative advantage** — What can be done here that can't be done better elsewhere?
- **Opportunity cost** — What is being given up? Is it worth it?
- **Marginal thinking** — What does one more unit cost/produce? (Not average — marginal.)
- **Moats** — What creates durable competitive advantage? How wide and deep is the moat?
- **Principal-agent problem** — Whose interests are misaligned? Who's playing with other people's money?
- **Tragedy of the commons** — Are shared resources being depleted because individual incentives diverge from collective interest?
- **Creative destruction** — Is something new destroying something old? Is that good or bad?

Which economic model is most relevant, and what does it prescribe?

## Discipline 5: Mathematics & Statistics

- **Power laws vs. normal distributions** — Is this a domain of averages or extremes?
- **Compounding** — What is growing exponentially that looks flat now?
- **Regression to the mean** — Is current performance sustainable, or will it revert?
- **Bayes' theorem** — What should the prior be? How much should this evidence update it?
- **Order of magnitude** — Are we arguing about 10% differences when there's a 10x factor we're ignoring?
- **Combinatorics** — How many possible configurations exist? Are we exploring enough of the space?
- **Asymmetry of outcomes** — Is the upside/downside symmetric, or heavily skewed?

Which mathematical model provides the clearest insight?

## Discipline 6: History & Philosophy

- **Chesterton's Fence** — Before removing something, understand why it was put there.
- **Lindy effect** — Things that have survived a long time are likely to survive longer.
- **Ozymandias effect** — All empires fall. What's the half-life of this?
- **Hegelian dialectic** — What is the thesis, antithesis, and potential synthesis?
- **Via negativa** — What should be *removed* rather than added?
- **Skin in the game** — Who bears the consequences of the decision? (Taleb)
- **Historical analogy** — What historical parallel illuminates this situation?

Which historical/philosophical model offers the deepest wisdom?

## Cross-Disciplinary Triangulation

Now synthesize across all six lenses:

- **Convergence**: Where do multiple models from different disciplines **agree**? (High confidence)
- **Divergence**: Where do they **disagree**? (Needs deeper investigation)
- **Blind spots**: Which models are **missing** from the analysis? What discipline hasn't been consulted?
- **Dominant model**: Which single model provides the most explanatory power for this specific problem?
- **Ensemble insight**: What understanding emerges from combining the models that **no single model alone** could produce?

## Actionable Output

- What is the **recommended course of action** based on the multi-model analysis?
- What are the **key risks** identified by the models?
- What **mental model** should the decision-maker keep at the forefront?
- What would **Charlie Munger** probably say about this situation?

---

"To the man with only a hammer, every problem looks like a nail." The cure is a toolbox full of mental models from every discipline. Use them all, trust no single one, and pay attention when they disagree.

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