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  2. Correlation does not imply causation - Wikipedia

    en.wikipedia.org/wiki/Correlation_does_not_imply...

    [3] That is the meaning intended by statisticians when they say causation is not certain. Indeed, p implies q has the technical meaning of the material conditional: if p then q symbolized as p → q. That is, "if circumstance p is true, then q follows." In that sense, it is always correct to say "Correlation does not imply causation."

  3. Post hoc ergo propter hoc - Wikipedia

    en.wikipedia.org/wiki/Post_hoc_ergo_propter_hoc

    Correlation does not imply causation – Refutation of a logical fallacy; Jumping to conclusions – Psychological term; Magical thinking – Belief in the connection of unrelated events; Superstition – Belief or behavior that is considered irrational or supernatural; Survivorship bias – Logical error, form of selection bias

  4. Correlation - Wikipedia

    en.wikipedia.org/wiki/Correlation

    However, in general, the presence of a correlation is not sufficient to infer the presence of a causal relationship (i.e., correlation does not imply causation). Formally, random variables are dependent if they do not satisfy a mathematical property of probabilistic independence. In informal parlance, correlation is synonymous with dependence.

  5. Spurious relationship - Wikipedia

    en.wikipedia.org/wiki/Spurious_relationship

    Graphical model: Whereas a mediator is a factor in the causal chain (top), a confounder is a spurious factor incorrectly implying causation (bottom). In statistics, a spurious relationship or spurious correlation [1] [2] is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third ...

  6. Causal inference - Wikipedia

    en.wikipedia.org/wiki/Causal_inference

    Notably, correlation does not imply causation, so the study of causality is as concerned with the study of potential causal mechanisms as it is with variation amongst the data. [ citation needed ] A frequently sought after standard of causal inference is an experiment wherein treatment is randomly assigned but all other confounding factors are ...

  7. Causal analysis - Wikipedia

    en.wikipedia.org/wiki/Causal_analysis

    Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...

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  9. Correlation is not causation - Wikipedia

    en.wikipedia.org/?title=Correlation_is_not...

    Correlation does not imply causation; This page is a redirect. The following categories are used to track and monitor this redirect: From a phrase: ...