Thinking·OS

Graph explorer

Explore the knowledge graph

Regression analysis models Correlation. Activate to inspect this relation.Econometric model depends on Regression analysis. Activate to inspect this relation.Instrumental variable enables Econometric model. Activate to inspect this relation.Logistic regression is a Regression analysis. Activate to inspect this relation.Survival analysis is analogous to Regression analysis. Activate to inspect this relation.Regression analysis constrains Confounding. Activate to inspect this relation.Ordinary Least Squares is part of Regression analysis. Activate to inspect this relation.Ordinary Least Squares constrains Endogeneity. Activate to inspect this relation.Omitted Variable Bias causes Endogeneity. Activate to inspect this relation.Instrumental variable applies to Endogeneity. Activate to inspect this relation.Fixed Effects requires Panel Data. Activate to inspect this relation.Fixed Effects constrains Omitted Variable Bias. Activate to inspect this relation.Difference-in-Differences requires Panel Data. Activate to inspect this relation.Difference-in-Differences enables Causal Inference. Activate to inspect this relation.Instrumental variable enables Causal Inference. Activate to inspect this relation.Causal Inference depends on Regression analysis. Activate to inspect this relation.Panel DataFixed EffectsDifference-in-DifferencesOmitted Variable BiasCausal InferenceEndogeneityRegression analysisInstrumental variableOrdinary Least SquaresCorrelationConfoundingEconometric modelLogistic regressionSurvival analysis
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 relationships8 disciplines6 relation families

At a glance

Panel data track the same units over multiple time periods, combining cross-sectional and time dimensions.

Disciplines
Econometrics
Role in the graph
Connector
Relationships
2 · 1 relation families

Insights from this view

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

  • This view connects 8 disciplines: Biostatistics, Data Science, Econometrics, Economics, Epistemology, Mathematics, Probability, Statistics.
  • Correlation is a bridge concept — viewed here through Data Science, Epistemology, Probability, Statistics.
  • The connections here span 6 relation families.
  • Causality explains 2 concepts in this view (Biostatistics, Data Science, Econometrics, Epistemology, Mathematics, Probability, 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.