Thinking·OS

Graph explorer

Explore the knowledge graph

Risk is analogous to Correlation. Activate to inspect this relation.Probability measures Correlation. Activate to inspect this relation.Risk depends on Probability. Activate to inspect this relation.Machine learning depends on Probability. Activate to inspect this relation.Average applies to Probability distribution. Activate to inspect this relation.Median is analogous to Average. Activate to inspect this relation.Mode is analogous to Average. Activate to inspect this relation.Variance measures Probability distribution. Activate to inspect this relation.Probability distribution depends on Probability. Activate to inspect this relation.Normal distribution is a Probability distribution. Activate to inspect this relation.Sampling applies to Probability distribution. Activate to inspect this relation.Random variable depends on Probability distribution. Activate to inspect this relation.Expectation depends on Probability distribution. Activate to inspect this relation.Expectation is analogous to Average. Activate to inspect this relation.Histogram models Probability distribution. Activate to inspect this relation.AverageProbability distributionMedianModeExpectationProbabilityNormal distributionVarianceRandom variableSamplingHistogramRiskCorrelationMachine learning
Relationship types
Legend
  • Focused concept
  • Connected concept
  • 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
14 concepts15 relationships15 disciplines5 relation families

At a glance

In mathematics, an average of a collection or group is a value that is most central, common, or typical in some sense, and represents its overall position.

Disciplines
Mathematics · Statistics
Role in the graph
Connector
Relationships
4 · 2 relation families
Mental models
1

Insights from this view

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

  • This view connects 15 disciplines: Artificial Intelligence, Computer Science, Data Science, Economics, Epistemology, Ethics, Finance, Machine Learning, Mathematics, Medicine, Photography, Probability, Public Policy, Statistics, Telecommunications Engineering.
  • Average is a bridge concept — viewed here through Mathematics, Statistics.
  • The connections here span 5 relation families.
  • Probability explains 9 concepts in this view (Artificial Intelligence, Computer Science, Data Science, Economics, Epistemology, Ethics, Finance, Machine Learning, Mathematics, Medicine, Probability, Public Policy, 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.