Thinking·OS

Graph explorer

Explore the knowledge graph

Actuarial science applies to Probability. Activate to inspect this relation.Average applies to Probability distribution. Activate to inspect this relation.Bayesian inference applies to Probability. Activate to inspect this relation.Biostatistics applies to Probability. Activate to inspect this relation.Combinatorics enables Probability. Activate to inspect this relation.Entropy depends on Probability. Activate to inspect this relation.Expectation is analogous to Average. Activate to inspect this relation.Expectation depends on Probability distribution. Activate to inspect this relation.Histogram models Probability distribution. Activate to inspect this relation.Lindy Effect applies to Probability. Activate to inspect this relation.Markov chain applies to Probability. Activate to inspect this relation.Machine learning depends on Probability. Activate to inspect this relation.Normal distribution is a Probability distribution. Activate to inspect this relation.Probability measures Correlation. Activate to inspect this relation.Probability distribution depends on Probability. Activate to inspect this relation.Quantum mechanics depends on Probability. Activate to inspect this relation.Random variable depends on Probability distribution. Activate to inspect this relation.Risk depends on Probability. Activate to inspect this relation.Sampling precedes Modulation. Activate to inspect this relation.Sampling precedes Quantization. Activate to inspect this relation.Sampling applies to Probability distribution. Activate to inspect this relation.Variance measures Probability distribution. Activate to inspect this relation.SamplingModulationQuantizationProbability distributionProbabilityNormal distributionExpectationRandom variableVarianceAverageHistogramRiskCorrelationMachine learningQuantum mechanicsEntropyActuarial scienceBayesian inferenceBiostatisticsCombinatoricsLindy EffectMarkov chain
Relationship types

172 concepts viewed through this lens. Bridge concepts connect this view to Acoustics, Actuarial Science, Agriculture, Algorithms….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
22 concepts22 relationships26 disciplines7 relation families

At a glance

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population.

Disciplines
Mathematics · Statistics · Telecommunications Engineering
Role in the graph
Cross-disciplinary bridge — reaches Probability, Signal Processing
Relationships
3 · 2 relation families
Mental models
2

What am I looking at?

In this lens (172)

Bridge concepts (186)

Just outside the lens — they connect it to other context.

  • Rate of change5
    Calculus, Economics, Physics · connects to Differential equation, Integral, Limit…
  • Enumerative counting4
    Combinatorics · connects to Combination, Generating function, Permutation…
  • Graph data structure4
    Computer Science, Data Structures · connects to Connectivity, Edge, Shortest path…
  • Machine learning3
    Artificial Intelligence, Computer Science, Machine Learning, Statistics · connects to Algorithm, Pattern, Probability
  • Optimization3
    Business, Economics, Engineering, Mathematical Modelling, Optimization, Systems Engineering · connects to Inequality, Linear programming, Mathematical model

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 26 disciplines: Actuarial Science, Artificial Intelligence, Biostatistics, Computer Science, Data Science, Decision Theory, Discrete Mathematics, Economics, Epistemology, Ethics, Finance, Information Theory, Machine Learning, Mathematics, Medicine, Photography, Physical Chemistry, Physics, Probability, Public Policy, Quantum Physics, Signal Processing, Statistical Physics, Statistics, Telecommunications Engineering, Thermodynamics.
  • Sampling is a bridge concept — viewed here through Mathematics, Statistics, Telecommunications Engineering.
  • The connections here span 7 relation families.
  • Probability explains 11 concepts in this view (Artificial Intelligence, Computer Science, Data Science, Discrete Mathematics, Economics, Epistemology, Ethics, Finance, Machine Learning, Mathematics, Medicine, Physics, Probability, Public Policy, Quantum Physics, Statistics, Telecommunications Engineering).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.