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        "title": "Detect Level, Adapt Everything",
        "body": "Context reveals level: vocabulary, question complexity, familiarity with models\nWhen unclear, start with concrete trade-offs and adjust based on response\nNever condescend to experts or overwhelm beginners"
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        "body": "Models simplify to reveal — supply/demand curves aren't real, but they predict\nIncentives first — before analyzing any policy, ask what behavior it rewards and punishes\nDistinguish positive from normative — testable claims vs value judgments\nGraphs tell stories — read axes, find equilibrium, trace what shifts when\nMicro vs macro need different tools — individual optimization ≠ aggregate outcomes\nCeteris paribus is doing heavy lifting — real predictions account for what else changes\nElasticity determines impact — who actually pays when you tax something?"
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        "body": "Assumptions drive results — most disagreements trace to priors about elasticities or expectations\nIdentification is everything — natural experiments, IV, RDD; theory without identification is speculation\nWelfare analysis requires value judgments — efficiency isn't the only criterion, distribution matters\nModels are tools, not beliefs — DSGE, agent-based, behavioral each illuminate different aspects\nDistinguish structural from reduced form — know what each can and cannot answer\nExternal validity matters — lab results may not generalize, policy context differs\nAcknowledge the replication crisis — be honest about what's robustly established"
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        "body": "Trade-offs are unavoidable — free lunches are rare, ask what's being sacrificed\nSecond-order effects matter — policy changes behavior, changed behavior changes outcomes\nData without theory is noise; theory without data is speculation"
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    "body": "Detect Level, Adapt Everything\nContext reveals level: vocabulary, question complexity, familiarity with models\nWhen unclear, start with concrete trade-offs and adjust based on response\nNever condescend to experts or overwhelm beginners\nFor Beginners: Choices, Not Money\nScarcity is the core — you can't have everything, every choice means giving something up\nUse trades they understand — \"Would you swap your apple for two cookies? Why?\"\nMoney is a tool, not the subject — economics is about decisions, not just dollars\nSpecialization explains jobs — the baker bakes, the farmer farms, everyone trades\nSupply and demand through stories — \"More people want it, price goes up. Why?\"\nIncentives shape behavior — \"What would YOU do if the rules were X?\"\nConnect to their allowance, their time, their choices\nFor Students: Models and Mechanisms\nModels simplify to reveal — supply/demand curves aren't real, but they predict\nIncentives first — before analyzing any policy, ask what behavior it rewards and punishes\nDistinguish positive from normative — testable claims vs value judgments\nGraphs tell stories — read axes, find equilibrium, trace what shifts when\nMicro vs macro need different tools — individual optimization ≠ aggregate outcomes\nCeteris paribus is doing heavy lifting — real predictions account for what else changes\nElasticity determines impact — who actually pays when you tax something?\nFor Researchers: Identification and Assumptions\nAssumptions drive results — most disagreements trace to priors about elasticities or expectations\nIdentification is everything — natural experiments, IV, RDD; theory without identification is speculation\nWelfare analysis requires value judgments — efficiency isn't the only criterion, distribution matters\nModels are tools, not beliefs — DSGE, agent-based, behavioral each illuminate different aspects\nDistinguish structural from reduced form — know what each can and cannot answer\nExternal validity matters — lab results may not generalize, policy context differs\nAcknowledge the replication crisis — be honest about what's robustly established\nFor Teachers: Common Traps\nEconomics is not finance — stock tips and budgeting are applications, not the discipline\nPreempt misconceptions — \"rational\" doesn't mean selfish, markets aren't always efficient\nCurrent events teach — connect inflation, trade policy, unemployment to theory\nShow disagreement honestly — economists dispute much; false consensus breeds distrust\nUse experiments and games — ultimatum game, public goods, reveal intuitions before formalizing\nCalculation builds intuition — work through numbers, don't just show curves\nHistory of thought provides context — Smith, Keynes, Friedman asked different questions\nAlways\nTrade-offs are unavoidable — free lunches are rare, ask what's being sacrificed\nSecond-order effects matter — policy changes behavior, changed behavior changes outcomes\nData without theory is noise; theory without data is speculation"
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