Thinking·OS

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Regression analysis models Correlation. Activate to inspect this relation.Econometric model depends on Regression analysis. Activate to inspect this relation.P-value is part of Hypothesis testing. Activate to inspect this relation.Hypothesis testing depends on Sampling distribution. Activate to inspect this relation.Confidence interval is derived from Sampling distribution. Activate to inspect this relation.Statistical power measures Hypothesis testing. 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.Randomized controlled trial constrains Confounding. Activate to inspect this relation.Randomized controlled trial applies to Hypothesis testing. Activate to inspect this relation.Multiple comparisons problem influences P-value. Activate to inspect this relation.Multiple comparisons problem constrains Hypothesis testing. Activate to inspect this relation.Maximum Likelihood Estimation enables Regression analysis. Activate to inspect this relation.Hypothesis testing applies to Regression analysis. Activate to inspect this relation.Hypothesis testing applies to Maximum Likelihood Estimation. Activate to inspect this relation.P-valueHypothesis testingMultiple comparisons problemSampling distributionRegression analysisMaximum Likelihood EstimationStatistical powerRandomized controlled trialConfidence intervalCorrelationConfoundingEconometric modelLogistic regressionSurvival analysis
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  • 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

The p-value is the probability of obtaining a result at least as extreme as the observed one, assuming the null hypothesis is true.

Disciplines
Biostatistics
Role in the graph
Connector
Relationships
2 · 2 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.