
Mungers Lattice
- 99 installs
- 1 repo stars
- Updated July 31, 2026
- hexbee/hello-skills
Applies Charlie Munger's latticework of cross-disciplinary mental models to dissect a decision, investment question, or complex problem.
About
Runs a decision or problem through a four-step process (define, model selection, inversion check, synthesis) using mental models from math, psychology, and economics. A developer uses it for structured, rational analysis of a choice or investment.
- Selects 3-5 non-obvious cross-disciplinary models per problem
- Inversion check plus Lollapalooza synthesis for a final recommendation
Mungers Lattice by the numbers
- 99 all-time installs (skills.sh)
- +2 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #1,367 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
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| Installs | 99 |
|---|---|
| repo stars | ★ 1 |
| Last updated | July 31, 2026 |
| Repository | hexbee/hello-skills ↗ |
What it does
Applies Charlie Munger's latticework of cross-disciplinary mental models to dissect a decision, investment question, or complex problem.
Files
Munger's Lattice
Overview
This skill transforms analysis into a multidisciplinary engine that applies 6 core mental model categories to any decision or problem. It forces cold, rational thinking through the lens of math, physics, biology, psychology, and economics—no emotional hand-holding.
When to Use This Skill
Trigger this skill when the user:
- Asks for decision analysis ("Should I X or Y?")
- Requests investment/business evaluation
- Presents complex problems requiring structured thinking
- Uses keywords: decision, choice, invest, evaluate, analyze, worth it, should I
Workflow
When user presents a problem, follow this four-step process:
Step 1: Define
- Strip away noise, identify core variables
- State the problem in one sentence
- Mark if problem is outside "Circle of Competence"
Step 2: Model Selection & Application
- Select 3-5 most relevant but non-obvious models from the library
- For each model: [Model Name] -> [Specific mapping to this problem]
- Cross-discipline is key (e.g., use biology to explain business)
Step 3: Inversion Check
- What is the worst possible outcome?
- What would guarantee that worst outcome?
- Then tell user to avoid those actions.
Step 4: Synthesis
- Look for Lollapalooza Effect: multiple models pointing same direction
- Give final recommendation with confidence level
Model Library
1. Math/Logic Models
- Compound Interest: Exponential growth/decay
- Permutations & Combinations: Counting and probability
- Fermat-Pascal System: Expected value, decision trees
- Pareto Principle (80/20): Vital few vs trivial many
- Redundancy/Backup: Engineering margin of safety
2. Psychology/Behavior Models
- Incentive-Caused Bias: People's actions follow incentives
- Social Proof: Herd behavior, conformity
- Deprivation Super-Reaction: Loss aversion, pain of losing
- Reciprocity: Obligation to return favors
- Authority Bias: Following leaders without question
- Halo Effect: One trait bleeding into overall judgment
3. Micro/Macroeconomics Models
- Opportunity Cost: What you give up by choosing X
- Moat (Economic Moat): Sustainable competitive advantage
- Economies of Scale: Cost advantages from volume
- Tragedy of the Commons: Unchecked shared resources
4. Hard Science Models
- Critical Mass: Threshold for chain reactions
- Natural Selection: Survival of the fittest
- Second Law of Thermodynamics: Entropy always increases
- Catalyst: What accelerates or slows reactions
5. Core Thinking Tools
- Inversion: Work backwards from failure
- Circle of Competence: Know your limits
- Margin of Safety: Build in buffers for uncertainty
Output Format
Always output with this structure:
# Munger's Lattice Analysis of [Core Problem]
## Step 1: Define
[Core problem, key variables, circle of competence assessment]
## Step 2: Model Application
### Model 1: [Name] -> [Analysis]
### Model 2: [Name] -> [Analysis]
### Model 3: [Name] -> [Analysis]
[... 3-5 models]
## Step 3: Inversion Check
[Worst case analysis and how to guarantee it]
## Step 4: Synthesis
[Lollapalooza effect summary, final recommendation]Tone Guidelines
- Extreme Rationality: Reject vague, soft answers
- Direct and Sharp: If an option is stupid, call it a "prescription for misery"
- Cross-disciplinary: Always connect at least 2 different disciplines
- Emotion-free: No comforting phrases, no hedging with uncertainty markers unless truly uncertain
Resources
references/
- mental-models.md: Detailed catalog of all mental models with application examples. Load when needing specific model definitions or application patterns.
scripts/ & assets/
Not needed for this skill.
interface:
display_name: "Munger's Lattice"
short_description: "Analyze decisions with multidisciplinary models"
default_prompt: "Break down my decision using Munger-style multidisciplinary mental models and produce a rational, testable recommendation with key tradeoffs."
Mental Models Reference
Detailed catalog of mental models for the Munger's Lattice skill.
Table of Contents
1. Math & Logic Models 2. Psychology Models 3. Economics Models 4. Hard Science Models 5. Core Thinking Tools 6. Application Patterns
---
1. Math & Logic Models
Compound Interest
Definition: Growth where earnings generate additional earnings over time.
Formula: A = P(1 + r/n)^(nt)
Application Patterns:
- Business: Reinvested profits compounding over years
- Career: Skills building on skills over decades
- Debt: Negative compound interest destroys wealth
- Knowledge: Each concept unlocks understanding of more concepts
Warning Signs:
- "Just 5% more growth" ignored over long timeframes
- Short-term thinking masking exponential effects
---
Permutations & Combinations
Definition: Counting all possible outcomes and their probabilities.
Application Patterns:
- Career options: Multiple variables affecting success probability
- Investment: Portfolio combinations and risk distribution
- Life decisions: Sequential vs simultaneous choices
Key Insight: Often we undercount the number of possible outcomes, leading to overconfidence.
---
Fermat-Pascal System
Definition: Expected value calculation using probability theory.
Application Patterns:
- "Is this bet worth it?" → Calculate expected value
- Career transitions: Probability of success × upside vs status quo
- Business investments: Risk-adjusted returns
Formula: EV = (Probability of Win × Win Amount) - (Probability of Loss × Loss Amount)
---
Pareto Principle (80/20)
Definition: Roughly 80% of effects come from 20% of causes.
Application Patterns:
- Business: 20% of customers drive 80% of revenue
- Productivity: 20% of tasks produce 80% of value
- Problems: Fix the vital few, ignore the trivial many
Warning Signs:
- Treating all tasks as equally important
- Spending equal time on small and large opportunities
---
Redundancy/Margin of Safety
Definition: Building buffers to account for uncertainty and error.
Application Patterns:
- Engineering: Bridges support 3x expected load
- Career: Multiple income streams
- Business: Cash reserves for downturns
- Investment: Buy at 30% discount from intrinsic value
Key Quote: "Margin of safety is the difference between the intrinsic value and the price you pay."
---
2. Psychology Models
Incentive-Caused Bias
Definition: People predictably act in ways that serve their incentives, often unconsciously.
Application Patterns:
- Financial advisors recommending products that pay highest commissions
- Managers promoting projects that make them look good
- Employees optimizing for metrics, not outcomes
- Doctors recommending profitable procedures
Detection: Ask "Who benefits?" and "What incentives are at play?"
---
Social Proof
Definition: People do what they see others doing, especially in uncertainty.
Application Patterns:
- Investment bubbles: Everyone buying because everyone else is buying
- Career choices: Following the crowd into oversaturated fields
- Business: Competitor analysis as validation
Countermeasure: Independent thinking required when crowd is unanimous.
---
Deprivation Super-Reaction
Definition: The pain of losing is psychologically twice as powerful as the pleasure of gaining.
Application Patterns:
- Holding losing investments too long to avoid realizing loss
- Staying in bad relationships due to "sunk cost"
- Rejecting small risks that could prevent larger future losses
Thiele's Observation: "The mind overweights small losses and underweights small gains."
---
Reciprocity
Definition: Strong psychological need to return favors.
Application Patterns:
- Free samples → feeling obligated to buy
- Business dinners → influence on decisions
- Political favors → quid pro quo expectations
Warning: Reciprocity can corrupt judgment subtly.
---
Authority Bias
Definition: Following authority figures without independent verification.
Application Patterns:
- Following investment advice from "experts" without due diligence
- Accepting industry dogma without questioning
- Hiring prestigious but wrong people
Countermeasure: Always ask "What would this person gain from telling me this?"
---
Halo Effect
Definition: One positive trait causes overall positive judgment.
Application Patterns:
- Attractive people judged as more competent
- Prestigious school = assumed intelligence
- Past success = assumed future success
Countermeasure: Evaluate each dimension independently.
---
3. Economics Models
Opportunity Cost
Definition: The value of the next best alternative you give up when making a choice.
Application Patterns:
- "Should I go to grad school?" → Cost = 2 years salary + tuition
- "Should I start a business?" → Cost = salary + benefits + savings at risk
- Time allocation: Every hour spent on X is an hour not on Y
Key Insight: Most decisions are made without considering what you're giving up.
---
Economic Moat
Definition: Sustainable competitive advantage that protects profits from competition.
Types: 1. Network Effect: More users → more value → harder to displace 2. Switching Costs: Pain to switch to alternatives 3. Economies of Scale: Cost advantage from volume 4. Proprietary IP: Patents, trade secrets 5. Brand: Customer loyalty and recognition
Application: Evaluate any business by asking "How defensible is this position?"
---
Economies of Scale
Definition: Costs per unit decrease as volume increases.
Application Patterns:
- Large companies can afford R&D smaller firms cannot
- Volume purchasing discounts
- Fixed costs spread across more units
Warning: Bureaucracy can negate scale advantages (dysscaleia).
---
Tragedy of the Commons
Definition: Shared resources get overused because individual incentives conflict with collective good.
Application Patterns:
- Overfishing shared waters
- Overcrowding in popular career fields
- Social media attention as a commons
Solutions: Privatization, regulation, or tribal enforcement.
---
4. Hard Science Models
Critical Mass
Definition: Threshold where a chain reaction becomes self-sustaining.
Application Patterns:
- Network effects reaching tipping point
- Business models requiring minimum scale to be profitable
- Skills development requiring sufficient practice time
Key Question: "Are we past or before the critical mass point?"
---
Natural Selection
Definition: Survival of the fittest in competitive environments.
Application Patterns:
- Business ecosystems: Only adapted firms survive
- Career fields: Those who adapt thrive
- Investment: Market selects for survival
Insight: Evolution is relentless; stagnation leads to extinction.
---
Second Law of Thermodynamics
Definition: Entropy (disorder) always increases in closed systems.
Application Patterns:
- Organizations naturally become more bureaucratic over time
- Relationships require constant energy to maintain
- Knowledge systems decay without active maintenance
Implication: Fighting entropy requires continuous effort.
---
Catalyst
Definition: Factors that accelerate or slow down processes without being consumed.
Application Patterns:
- Regulatory changes catalyze industry consolidation
- Key hires catalyze company culture changes
- Technology shifts catalyze business model disruption
Use Case: Identify catalysts to predict timing of outcomes.
---
5. Core Thinking Tools
Inversion
Definition: Work backward from the outcome you want to avoid.
Process: 1. Identify what you DON'T want 2. Ask "What would guarantee this bad outcome?" 3. Avoid those actions
Famous Quote: "Tell me where I'm going to die, so I never go there." — Munger
Application: Instead of "How do I succeed?" ask "How do I fail?" (usually easier to identify).
---
Circle of Competence
Definition: Areas where your knowledge gives you an advantage.
Rules: 1. Stay inside your circle 2. Learn where your circle ends 3. Expand slowly through genuine expertise
Warning Signs:
- Overconfidence in unfamiliar domains
- Using "general intelligence" as substitute for specific knowledge
Munger: "Never play a game where you don't understand the odds."
---
Margin of Safety
Definition: Build in buffers when making decisions under uncertainty.
Applications:
- Investment: Buy at 30% discount from calculated value
- Career: Have backup options before jumping
- Business: Maintain cash reserves
- Life: Don't bet everything on one outcome
Key Insight: The world is more uncertain than we think; margin of safety compensates.
---
6. Application Patterns
Decision Analysis Template
When: User asks "Should I do X or Y?"
Steps: 1. Map all options (including "do nothing") 2. Assign probabilities to each outcome 3. Calculate expected value 4. Apply inversion to each path 5. Synthesize with Lollapalooza check
Investment Analysis Template
When: User asks about an investment
Models to apply: 1. Economic Moat → Sustainable advantage? 2. Opportunity Cost → Better alternatives? 3. Compound Interest → Long-term value creation? 4. Margin of Safety → Price vs. intrinsic value? 5. Deprivation Super-Reaction → Am I holding due to loss aversion?
Career Decision Template
When: User asks about career change
Models to apply: 1. Opportunity Cost → What am I giving up? 2. Circle of Competence → Do I have the skills? 3. Natural Selection → Will I thrive in that ecosystem? 4. Social Proof → Am I following the crowd? 5. Fermat-Pascal → What are the real probabilities?
---
Quick Reference: Model Selection by Domain
| Domain | Primary Models |
|---|---|
| Investment | Moat, Margin of Safety, Compound Interest |
| Career | Opportunity Cost, Circle of Competence |
| Business Strategy | Natural Selection, Critical Mass, Economics of Scale |
| Personal Decisions | Inversion, Fermat-Pascal, Loss Aversion |
| Relationships | Reciprocity, Social Proof |
| General Analysis | Pareto, Redundancy, Catalyst |
---
Common Errors to Avoid
1. Overconfidence: Not applying Margin of Safety 2. Single Model: Using only one discipline to explain everything 3. No Inversion: Only thinking about success paths 4. Ignoring Incentives: Not asking "Who benefits?" 5. Recency Bias: Overweighting recent events 6. Halo Effect: Letting one factor color overall judgment 7. Sunk Cost: Letting past investment drive future decisions