Thinking·OS

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Social sciences

Economics

A discipline is a lens, not an owner — the same idea can be viewed through many.

100 concepts243 relationships7 relation families45 bridge concepts
EconomicsEconomicsMacroeconomicsMarket failureFinancial marketSupply and demandMarketEconomic growthInflation

Concepts viewed through this lens

These numbers describe the current Thinking OS knowledge slice, not the whole field.

Explore this lens in the graph →

Disciplines it bridges to

Each bridge is built by ideas the two fields share, the thinking patterns that recur across both, and a representative relationship that shows how they connect.

Field shape — representation health

64/100 overall · 100 concepts

The eight dimensions measure Thinking OS coverage of this field, not the quality or importance of the discipline.

  • Structural83 /100
  • Evidence47 /100
  • Foundations92 /100
  • Factual depth4 /100
  • Pedagogical61 /100
  • Cross-disciplinary100 /100
  • Provenance35 /100
  • Taxonomy92 /100

What kind of structure is this field?

Interpreted from the current atlas — how this field is represented, not a judgement of the field.

  • Representation health 64/100 — dense but shallow. Strongest: cross-disciplinary, taxonomy. Thinnest: factual depth, provenance.

    structural · Measures the current Thinking OS representation, not the quality or importance of the field.

  • Its 64 representation-health is above the 60 median of 10 similarly-sized disciplines (comparable by concept count).

    structural · Measures the current Thinking OS representation, not the quality or importance of the field.

  • 19% of its concepts have a single connection (mean internal degree 2.3) — a fairly cohesive internal structure.

    structural · Measures the current Thinking OS representation, not the quality or importance of the field.

  • 52% of its relations reach into 91 other disciplines — an outward-facing field in the atlas.

    structural · Measures the current Thinking OS representation, not the quality or importance of the field.

  • 78% of its concepts carry a source, 16% a Tier A/B source; 52% of relations carry claim-level evidence.

    atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.

How this lens connects

The kinds of relationship that characterise this discipline lens in the current slice.

Kind & structure89
Cause & effect54
Teaching link49
Dependency27
Analogy & transfer13
Explains & models9
Evidence2

Coverage matrix

How these concepts distribute across domains and concept families — real counts, not a score.

SystemsInformationMatterChangePatternsEnergyLifeScaleStructureDecisionNetworksWavesCausalityComputationEarthSpaceOptimizationNumberProbabilitySecurityThresholdsConstraintsNatural sciencesFormal sciencesEngineeringMedicine & healthSocial sciencesHumanitiesProfessionalArtsInterdisciplinary21211146108298132116

Knowledge timeline

Real, sourced key dates of these concepts.

6 events
182018401860188019001920194019601817 · Comparative advantage1912 · Gini coefficient1944 · Game theory1950 · Game theory1950 · Nash equilibrium1968 · Tragedy of the commons

Ideas that connect this discipline outward

Concepts viewed through this lens that reach disciplines it does not itself carry — concept-level bridges (distinct from the discipline-to-discipline bridges below).

  • OptimizationreachesAlgebraAlgorithmsArtificial IntelligenceBiologyComputer ScienceData ScienceDecision TheoryDesignEnvironmental EngineeringEthicsIndustrial EngineeringMachine LearningMathematicsOperations ResearchPhysicsPolitical ScienceProject ManagementPublic PolicyStatisticsSustainability ScienceSystems Science
  • RiskreachesActuarial ScienceBusinessData ScienceEntrepreneurshipEnvironmental ScienceEpidemiologyEpistemologyMachine LearningMathematicsNetwork SciencePhotographyProbabilityPublic HealthToxicology
  • EfficiencyreachesBiologyBusinessEcologyEnergy EngineeringInformation TheoryMathematical ModellingMechanical EngineeringNutrition ScienceOptimizationPhysical ChemistryStatistical PhysicsSystems EngineeringThermodynamics
  • Exponential growthreachesChemistryClimatologyDemographyEcologyEpidemiologyEvolutionary BiologyMicrobiologyNetwork SciencePhysicsPublic HealthSociologySystems Science
  • Reinforcing loopreachesAlgebraAtmospheric ScienceBiologyComplexity ScienceEcologyEngineeringFinanceGeographyHuman-Computer InteractionMathematicsPhysicsSystems Biology
  • Trade-offreachesBehavioral EconomicsData ScienceEcologyFinanceMachine LearningMathematical ModellingMicroeconomicsOptimizationStatisticsSustainability Science

Mental models that recur here

Trade-offs ×17

When getting more of one thing means accepting less of another, because resources or constraints are limited.

Feedback loop ×13

A loop where an effect feeds back to change its own cause. Reinforcing loops amplify change; balancing loops resist it.

Constraints ×9

Limits that decide what is possible. Usually one binding constraint — the bottleneck — governs the outcome until it is relieved.

Incentives ×8

Agents respond to costs and rewards; to understand or change a system's behaviour, look at what each part is rewarded for — not what it's told to do.

Learning journeys that use it

From a Leaf to the Climate

People represented in this atlas

People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.

Explore connections →

What this lens reveals
  • 100 concepts are viewed through this lens.
  • 45 of them bridge into other disciplines.
  • Its signature thinking pattern is “Trade-offs” (recurs in 17 concepts).
  • The most common kind of connection here is “Kind & structure”.
  • It is most tightly linked to Mathematics.

Derived from the current graph structure — observations, not a judgement of the field.