Munger Thinking Operating System

Problem

Many decisions fail not from missing information but from cognitive bias: FOMO, overconfidence, one-sided evidence, and ignored incentives. This skill provides a Munger-style decision-review framework that treats “avoiding stupidity” as the primary goal, using inversion, cross-disciplinary models, and bias checks to examine investing, business, people, and complex problems.

How It Works

• Classify first: factual questions trigger WebSearch; pure framework questions go straight to mental models; mixed questions gather facts before analysis.
• Research: evaluate moats, management incentives, financials, competition, valuation, and worst-case risks; for people, examine behavior, incentives, and criticism; for events, map facts, historical analogies, and beneficiaries/losers.
• Judge: lead with the conclusion, support it with evidence, flag uncertainty, and use Too Hard when confidence is low.
• Core models include latticework, inversion, Lollapalooza effects, circle-of-competence discipline, and incentive diagnosis.

Boundaries

It works best for critical review, risk checks, and decision retrospectives, not for emotionally sensitive communication or cutting-edge judgments on AI, crypto, and platform economics. For China market and policy risk, add other perspectives. It is a public-information model, not Munger himself, and does not cover post-2023 changes.