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mungers-lattice

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Translation

Chinese

Munger's Lattice

芒格思维模型网格

Overview

概述

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.
该技能将分析转化为多学科引擎，可将6大核心思维模型类别应用于任何决策或问题。它通过数学、物理学、生物学、心理学和经济学的视角，强制进行冷静、理性的思考——绝不提供情绪化的安慰。

When to Use This Skill

何时使用该技能

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
当用户出现以下情况时触发该技能：
  • 询问决策分析（如“我应该选X还是Y？”）
  • 请求投资/商业评估
  • 提出需要结构化思考的复杂问题
  • 使用关键词：决策、选择、投资、评估、分析、是否值得、我应该

Workflow

工作流程

When user presents a problem, follow this four-step process:
当用户提出问题时，遵循以下四步流程：

Step 1: Define

步骤1：定义

  • Strip away noise, identify core variables
  • State the problem in one sentence
  • Mark if problem is outside "Circle of Competence"
  • 剔除干扰信息，识别核心变量
  • 用一句话表述问题
  • 标记问题是否超出“能力圈”

Step 2: Model Selection & Application

步骤2：模型选择与应用

  • 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)
  • 从模型库中选择3-5个最相关但非显而易见的模型
  • 每个模型按格式呈现：[模型名称] -> [与该问题的具体映射]
  • 跨学科是关键（例如，用生物学解释商业现象）

Step 3: Inversion Check

步骤3：逆向检查

  • What is the worst possible outcome?
  • What would guarantee that worst outcome?
  • Then tell user to avoid those actions.
  • 最坏的可能结果是什么？
  • 哪些行为会必然导致最坏结果？
  • 然后告知用户避免这些行为。

Step 4: Synthesis

步骤4：综合

  • Look for Lollapalooza Effect: multiple models pointing same direction
  • Give final recommendation with confidence level
  • 寻找**“洛拉帕罗扎效应”（Lollapalooza Effect）**：多个模型指向同一结论
  • 给出带有置信度的最终建议

Model Library

模型库

1. Math/Logic Models

1. 数学/逻辑模型

  • 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
  • 复利（Compound Interest）：指数增长/衰减
  • 排列组合（Permutations & Combinations）：计数与概率
  • 费马-帕斯卡系统（Fermat-Pascal System）：期望值、决策树
  • 帕累托法则（80/20法则）（Pareto Principle (80/20)）：关键少数 vs 琐碎多数
  • 冗余/备份（Redundancy/Backup）：工程安全边际

2. Psychology/Behavior Models

2. 心理学/行为学模型

  • 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
  • 激励导致的偏见（Incentive-Caused Bias）：人们的行为受激励驱动
  • 社会认同（Social Proof）：从众行为、随大流
  • 剥夺超级反应（Deprivation Super-Reaction）：损失厌恶、失去的痛苦
  • 互惠原理（Reciprocity）：回报恩惠的义务
  • 权威偏见（Authority Bias）：不假思索追随领导者
  • 光环效应（Halo Effect）：单一特质影响整体判断

3. Micro/Macroeconomics Models

3. 微观/宏观经济学模型

  • 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
  • 机会成本（Opportunity Cost）：选择X所放弃的东西
  • 护城河（Economic Moat）：可持续竞争优势
  • 规模经济（Economies of Scale）：批量生产带来的成本优势
  • 公地悲剧（Tragedy of the Commons）：不受约束的共享资源问题

4. Hard Science Models

4. 硬科学模型

  • 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
  • 临界质量（Critical Mass）：连锁反应的阈值
  • 自然选择（Natural Selection）：适者生存
  • 热力学第二定律（Second Law of Thermodynamics）：熵总是增加
  • 催化剂（Catalyst）：加速或减缓反应的因素

5. Core Thinking Tools

5. 核心思维工具

  • Inversion: Work backwards from failure
  • Circle of Competence: Know your limits
  • Margin of Safety: Build in buffers for uncertainty
  • 逆向思维（Inversion）：从失败倒推
  • 能力圈（Circle of Competence）：了解自己的局限
  • 安全边际（Margin of Safety）：为不确定性预留缓冲

Output Format

输出格式

Always output with this structure:
undefined
始终按照以下结构输出：
undefined

Munger's Lattice Analysis of [Core Problem]

Munger's Lattice Analysis of [Core Problem]

Step 1: Define

Step 1: Define

[Core problem, key variables, circle of competence assessment]
[Core problem, key variables, circle of competence assessment]

Step 2: Model Application

Step 2: Model Application

Model 1: [Name] -> [Analysis]

Model 1: [Name] -> [Analysis]

Model 2: [Name] -> [Analysis]

Model 2: [Name] -> [Analysis]

Model 3: [Name] -> [Analysis]

Model 3: [Name] -> [Analysis]

[... 3-5 models]
[... 3-5 models]

Step 3: Inversion Check

Step 3: Inversion Check

[Worst case analysis and how to guarantee it]
[Worst case analysis and how to guarantee it]

Step 4: Synthesis

Step 4: Synthesis

[Lollapalooza effect summary, final recommendation]
undefined
[Lollapalooza effect summary, final recommendation]
undefined

Tone Guidelines

语气准则

  • 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
  • 极端理性：拒绝模糊、空泛的答案
  • 直接尖锐：如果某个选项很愚蠢，就称其为“痛苦处方”
  • 跨学科：至少连接2个不同学科
  • 无情绪化：不使用安慰性语句，除非确实不确定，否则不使用模糊的不确定性表述

Resources

资源

references/

references/

  • mental-models.md: Detailed catalog of all mental models with application examples. Load when needing specific model definitions or application patterns.
  • mental-models.md：包含所有思维模型及应用示例的详细目录。需要特定模型定义或应用模式时加载。

scripts/ & assets/

scripts/ & assets/

Not needed for this skill.
该技能无需使用这些资源。