Explanation
Causality is a directed relation in which an event, state, or factor contributes to producing or changing another. It orders events more strongly than temporal succession or statistical correlation: a cause must matter to an outcome within a justified mechanism, intervention, or counterfactual comparison. The appropriate test varies by discipline. Experiments control conditions, historical sciences compare process traces, and linguistics investigates how languages grammatically and lexically perspectivise causation. Causes also often operate in bundles and under boundary conditions. The conceptual movement therefore proceeds from observed regularity through rival explanations to a limited, testable claim about what makes a difference under specified conditions.
Movement of thought
1. Two events or states occur together in a temporal or systematic pattern. 2. A hypothesis specifies direction and mechanism: the proposed causal factor should contribute to the outcome. 3. Rival explanations, common causes, selection, and chance are tested through comparison or control. 4. Intervention or counterfactual reasoning asks whether changing the factor would also have changed the outcome. 5. The claim returns as a conditional explanation with explicit scope, uncertainty, and required contextual factors.
Scientific use case
Experimental research, causal inference, and process tracing combine designs, models, and mechanisms. Linguistics additionally examines causative constructions and frames through which speakers make causers, affected participants, and responsibility differently visible.
Example
After a new conversational rule, interruptions fall only in randomly assigned teams while comparable control teams remain unchanged. This supports a causal effect under the tested conditions.
Counterexample
Sales of sunscreen and the number of swimming accidents both rise in summer. Their correlation does not show that sunscreen causes accidents; heat and visitor numbers affect both measures.
Distinction
Distinguish causality from correlation, mere succession, reason-giving, and moral responsibility. A causative construction is a linguistic way of representing causation, not identical to the causal relation investigated beyond language.
Effect on thought and perception
Causality enables explanation, prediction, and intervention. Premature attribution can reduce complex conditions to a culprit and mistake temporal sequence for production.
Resonance
One event does not merely leave a trace beside another; it intervenes in the other’s possibility. The connection becomes robust when its direction survives a counter-world.
Etymology
Technical core term; individual etymological review pending
Provenance
ATLAS 241 residual-case triage → profile candidate 241-B → source and neighbourhood cross-check → ATLAS 243
Cite this entry
Reich, Michael (Hrsg./ed.): „Causality“. Atlas der Sprache, AT-CORE-243-007. ATLAS 260, data model 1.6.0. https://atlasoflanguage.com/concept/AT-CORE-243-007The address remains stable; editorial content may evolve. Editorial reading state: 2026-10-15. Include your access date for precise references.
Historical background
Mill deliberately brackets ultimate metaphysical production when examining the causes needed for inductive inquiry. His analysis turns to regular sequences and the conjunction of conditions under which an effect occurs. A particularly revealing step follows: ordinary speech commonly selects one condition as the cause and leaves the others in the background. The decisive vote in an assembly may receive special emphasis even though the other supporting votes were equally needed. Mill connects that choice with the purpose of the discussion, including the attribution of responsibility. The Atlas can use this historical analysis to distinguish an explanatory selection from a complete causal account. It does not follow that causes are arbitrary, or that every condition contributes in the same way under all causal theories. Nor does Mill’s nineteenth-century regularity framework settle contemporary probabilistic, interventionist or mechanistic approaches. The inspected passage helps a reader ask what has been foregrounded, which background conditions remain indispensable, and why this particular causal description was chosen. Those questions connect language with inquiry without reducing causality to wording. The English word’s earlier transmission and the later theoretical developments remain open.
How conceptual history changes the analysis
Mill's causal analysis distributes explanation across a set of conditions; it is a historical theoretical contribution, not a universal or current definition of causality.
References for the historical section
- John Stuart Mill, A System of Logic, Ratiocinative and Inductive, eighth edition, New York: Harper & Brothers, 1882; Project Gutenberg ebook 27942 · Book III, Chapter V, §§2–3: physical causes and the concurrence of conditions
Selected named passages read in the transcription. The title page identifies an 1882 printing of the eighth edition, not the first edition. No claim that these passages were present unchanged in the first edition; no first-attestation or exhaustive reception claim.