Mental Models Explained in Plain Language
Mental models are thinking frameworks that simplify reality for faster decisions. Examples: supply and demand, first principles, and leverage points.
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Mental models are thinking frameworks that simplify reality for faster decisions. Examples: supply and demand, first principles, and leverage points.
Intelligence solves problems fast; wisdom knows which problems matter. Knowledge is facts; understanding grasps relationships and meaning.
Cognitive biases are systematic thinking errors affecting everyone. Your brain uses mental shortcuts for speed, but these create predictable mistakes.
Risk vs uncertainty: Risk has known probabilities, uncertainty doesn't. Heuristics are mental shortcuts, biases are systematic errors. Know the difference.
Key learning science terms: Spaced repetition reviews at intervals, retrieval practice tests to strengthen memory, and interleaving mixes topics.
Systems thinking key terms: Feedback loops where output affects input, emergence where wholes behave differently than parts, and leverage points.
Empathy feels with someone; sympathy feels for them. Introverts recharge alone; shy people fear judgment. Correlation shows patterns; causation proves cause.
Metrics vs KPIs: Metrics measure anything; KPIs measure what matters for goals. Leading indicators predict future; lagging indicators show past results.
A framework is a structured way to think about problems by providing categories, questions, or steps. Frameworks organize thinking, models predict outcomes.
API lets programs communicate. Cloud computing runs on remote servers. Algorithms are step-by-step instructions. Open source code is publicly available.
A system has components, relationships between them, a function or purpose, and boundaries defining what's inside versus outside.