Graph explorer

Explore the knowledge graph

Correlation is commonly confused with Causation. Activate to inspect this relation.Causation requires Mechanism. Activate to inspect this relation.Confounding variable causes Correlation. Activate to inspect this relation.Hypothesis precedes Experiment. Activate to inspect this relation.Experiment enables Evidence. Activate to inspect this relation.Evidence supports Hypothesis. Activate to inspect this relation.Experiment suppresses Confounding variable. Activate to inspect this relation.Causation applies to Greenhouse effect. Activate to inspect this relation.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.Prediction is derived from Hypothesis. Activate to inspect this relation.Experiment supports Prediction. Activate to inspect this relation.Regression analysis models Correlation. Activate to inspect this relation.Scientific Method requires Experiment. Activate to inspect this relation.Experiment depends on Scientific Instrument. Activate to inspect this relation.Confounding variableCorrelationExperimentCausationProbabilityRegression analysisRiskEvidencePredictionHypothesisScientific InstrumentScientific MethodGreenhouse effectMechanism
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 relationships25 disciplines7 relation families

Confounding variable

Open concept →

At a glance

A hidden factor that influences both things being compared, faking a link between them.

Disciplines
Statistics · Epidemiology · Psychology · Probability
Role in the graph
Cross-disciplinary bridge reaches Biology, Data Science, Epistemology, History of Science, Philosophy of Science, Physics
Relationships
2 · 1 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 25 disciplines: Atmospheric Science, Biology, Biostatistics, Data Science, Econometrics, Economics, Educational Science, Epidemiology, Epistemology, Ethics, Finance, Geography, History, History of Science, Law, Logic, Mathematics, Medicine, Metaphysics, Philosophy of Science, Physics, Probability, Psychology, Public Policy, Statistics.
  • Confounding variable is a bridge concept — viewed here through Epidemiology, Probability, Psychology, Statistics.
  • The connections here span 7 relation families.
  • Causality explains 9 concepts in this view (Biology, Biostatistics, Data Science, Econometrics, Educational Science, Epidemiology, Epistemology, History, History of Science, Law, Logic, Mathematics, Medicine, Metaphysics, Philosophy of Science, Physics, Probability, Psychology, 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

By thinking pattern

By journey

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.