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MIXORA CONCEPT

Correlation

A statistical association in which values or events vary together.

thoughtbridgeStrong evidence
IN PLAIN LANGUAGE

Correlation is useful evidence but leaves open direct causation, reverse causation, shared causes, selection effects and coincidence.

What “Strong evidence” means

The core definition or effect is well established across authoritative standards, foundational research or a broad research literature. The label does not make every practical prediction certain.

Marker-board illustration created specifically to explain Correlation: A statistical association in which values or events vary together.VISUAL EXPLANATION · MARKER BOARD
A statistical association in which values or events vary together.
EXAMPLE

People carrying umbrellas and wet streets are correlated because rain causes both.

COMMON CONFUSION

‘Correlation is not causation’ does not mean correlations are useless.

ASK YOURSELF

Which causal stories would all produce this same association?

RELATED CONCEPTS
thought × bridgeCausation

A relationship in which changing one factor makes a difference to another outcome under relevant conditions.

thoughtConfounder

A factor related to both a suspected cause and an outcome that can create or distort their observed association.

thought × bridgeEvidence

Information that raises, lowers or otherwise constrains rational confidence in a claim.

References

Last reviewed

  1. 01
    Underdetermination of Scientific Theory

    Kyle Stanford · Stanford Encyclopedia of Philosophy

    Why the same observations can remain compatible with multiple causal explanations.
    Reference source
What the source labels mean
Primary source
Original work, experiment, standard or historical text.
Academic source
Scholarly research or review published for an academic audience.
Reference source
An expert standard, encyclopedia or institutional explanation that summarizes a field.
General reference
A practical specialist resource useful for application, but not treated as decisive research by itself.