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How to ThinkIn the Age of AI
Definitionv1DF-157

Natural frequency

a representation format for statistical information that expresses probabilities as counts or frequencies of events within a population rather than as abstract percentages or decimals

Why This Is a Definition

This definition precisely establishes natural frequency as a specific format for representing statistical information, distinguishing it from probability formats and explaining its cognitive advantages. It captures the key distinction that makes Bayesian reasoning more intuitive in this format.

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Defines (58)

AxiomExtended Cognition ThesisAxiomAutomatic Narrative Generation Precedes Conscious EvaluationAxiomDirected Attention as Depletable ResourceAxiomPerception as Predictive ConstructionAxiomExpertise Transforms Perceptual ChunkingAxiomAutomatic Fusion of Observation and InterpretationAxiomDual Coding Theory: Verbal and Visual ChannelsAxiomNeural Plasticity Enables Lifelong Automatic LearningAxiomEmotional Hijacking of JudgmentAxiomPerceptual Plasticity Through TrainingAxiomSystematic Overconfidence TaxonomyAxiomEmotion as Systematic Cognitive ModulatorAxiomNatural Frequency Format AdvantageAxiomBias Blind Spot AsymmetryAxiomBrain as Hierarchical Prediction MachineAxiomCognition Operates Through Dual Processing SystemsAxiomMental States Are Cognitively ImputableAxiomEgocentric Anchoring in Perspective-TakingAxiomCognitive and Affective Empathy Are DistinctAxiomLooping Effects of Human ClassificationAxiomAutomatic Pattern PerceptionAxiomDunbar's Number Limits Stable RelationshipsAxiomPiagetian Equilibration Through Schema DynamicsAxiomSimple decision rules using less information can outperform…AxiomPeople interpret failure as either evidence about…AxiomYou necessarily trust your own cognitive faculties…AxiomWhen estimating future task duration, people naturally adoptAxiomReference class forecasting (using base rates from similar…PrincipleTrack the evolution of your beliefs over time rather…PrincipleApply the same tags to notes from different domains…PrincipleUse version history to identify beliefs that have revised…PrincipleInstrument systems with the minimum number of metrics…PrincipleDesign cognitive systems for your actual operating…PrincipleWhen large language models express 90%+ linguistic…PrincipleUse the 'five whys' technique on any significant energy…PrincipleAsk 'How will I feel about this in a year?' to shift…PrincipleTrack which environmental changes produce reliable emotionalPrincipleWhen emotional intensity increases, increase scrutiny…PrincipleEmbed learning capacity into the system itself rather…PrincipleCompare your self-concept against your actual behavioral…PrincipleWhen making decisions under cognitive load, time pressure…PrinciplePeriodically surface process schemas by extracting embedded…PrincipleTrack decision patterns rather than decision outcomes…PrincipleUse satisficing decision rules (define 'good enough'…PrincipleAggregate predictions by confidence level and compare statedPrincipleTrack both your predictions and your emotional state…PrincipleWhen identifying overconfidence in retrospective prediction…PrincipleMaintain decision logs that record the domain…PrincipleWhen vivid individual narratives compete with statistical…PrincipleTrack not just prediction accuracy but also the frequency…PrincipleBefore group discussions on important topics, require…PrincipleBefore proposing the removal of any inherited system…PrincipleDocument not only what tools you use but the complete…PrincipleUse AI as a schema inspection tool by articulating…PrincipleCalculate your actual prediction accuracy across documented…PrincipleDelayed schema updates impose compounding costs because…PrincipleDirect change effort toward what you control (judgments…PrincipleWhen delegating to tools, verify outputs more aggressively…