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fermi-estimationlisted

Break down unknowable quantities into estimable components to reach order-of-magnitude accuracy when making quick decisions without precise data
lev-os/agents · ★ 6 · Web & Frontend · score 66
Install: claude install-skill lev-os/agents
# Fermi Estimation **Category:** Decision-Making & Strategic Thinking **Source:** Enrico Fermi (1901-1954) / Physics / Google Interview Process **Practitioner Score:** 46/50 (Tier 1 Canonical) ## Overview Fermi Estimation (also called order-of-magnitude estimation or back-of-the-envelope calculation) is a technique for making surprisingly accurate approximations using minimal data by decomposing complex problems into smaller, estimable parts. Named after physicist Enrico Fermi, who was legendary for his ability to estimate seemingly impossible quantities (e.g., "How many piano tuners in Chicago?"). **Core Insight:** When facing unknown quantities, breaking the problem into multiplication of smaller estimates converges toward accuracy. Even if each component is off by 2-3x, errors tend to cancel out, yielding results within the correct order of magnitude. **Power:** Enables quick decision-making when precise data is unavailable, provides sanity checks for detailed analyses, and develops intuition about numerical relationships. ## When to Use - **Quick feasibility checks** - Is this market opportunity worth pursuing? - **Strategy decisions** - Rough-sizing of market, revenue, cost before deep analysis - **Sanity testing** - Does this projection/claim pass the smell test? - **Resource planning** - Ballpark staffing, budget, capacity needs - **Problem-solving** - Google-style interview questions and real-world unknowns - **Forecasting** - Superforecasting decomposition (St