Thinking·OS

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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.Quantum mechanics depends on Probability. Activate to inspect this relation.Probability distribution depends on Probability. Activate to inspect this relation.Combinatorics enables Probability. Activate to inspect this relation.Actuarial science applies to Probability. Activate to inspect this relation.Actuarial science applies to Risk. Activate to inspect this relation.Biostatistics applies to Probability. Activate to inspect this relation.Shannon entropy applies to Probability. Activate to inspect this relation.Measure theory enables Probability. Activate to inspect this relation.Bayesian inference applies to Probability. Activate to inspect this relation.Markov chain applies to Probability. Activate to inspect this relation.Entropy is analogous to Shannon entropy. Activate to inspect this relation.Entropy depends on Probability. Activate to inspect this relation.ProbabilityRiskCorrelationMachine learningQuantum mechanicsProbability distributionEntropyCombinatoricsActuarial scienceBiostatisticsShannon entropyMeasure theoryBayesian inferenceMarkov chain
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 concepts16 relationships22 disciplines5 relation families

2 further relations hidden to keep the view readable. Refocus on a node or switch to the list view to see more.

Probability

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At a glance

A number between 0 and 1 that measures how likely an outcome is.

Disciplines
Probability · Statistics · Mathematics
Role in the graph
Cross-disciplinary bridge — reaches Actuarial Science, Artificial Intelligence, Biostatistics, Complexity Science, Computer Science, Data Science, Decision Theory, Discrete Mathematics, Economics, Epistemology, Ethics, Finance, Information Theory, Machine Learning, Medicine, Physical Chemistry, Physics, Public Policy, Quantum Physics, Statistical Physics, Thermodynamics
Relationships
18 · 4 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 22 disciplines: Actuarial Science, Artificial Intelligence, Biostatistics, Computer Science, Data Science, Discrete Mathematics, Economics, Epistemology, Ethics, Finance, Information Theory, Machine Learning, Mathematics, Medicine, Physical Chemistry, Physics, Probability, Public Policy, Quantum Physics, Statistical Physics, Statistics, Thermodynamics.
  • Probability is a bridge concept — viewed here through Mathematics, Probability, Statistics.
  • The connections here span 5 relation families.
  • Probability explains 7 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).

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.