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  2. Correlation does not imply causation - Wikipedia

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

    The above example commits the correlation-implies-causation fallacy, as it prematurely concludes that sleeping with one's shoes on causes headache. A more plausible explanation is that both are caused by a third factor, in this case going to bed drunk, which thereby gives rise to a correlation. So the conclusion is false. Example 2

  3. Questionable cause - Wikipedia

    en.wikipedia.org/wiki/Questionable_cause

    Here is the example the two events may coincide or correlate, but have no causal connection. [2] Fallacies of questionable cause include: Circular cause and consequence [citation needed] Correlation implies causation (cum hoc, ergo propter hoc) Third-cause fallacy; Wrong direction; Fallacy of the single cause; Post hoc ergo propter hoc ...

  4. List of fallacies - Wikipedia

    en.wikipedia.org/wiki/List_of_fallacies

    Cum hoc ergo propter hoc (Latin for 'with this, therefore because of this'; correlation implies causation; faulty cause/effect, coincidental correlation, correlation without causation) – a faulty assumption that, because there is a correlation between two variables, one caused the other. [57]

  5. Correlative-based fallacies - Wikipedia

    en.wikipedia.org/wiki/Correlative-based_fallacies

    Fallacies based on correlatives include: [1] False dilemma or false correlative. Here something which is not a correlative is treated as a correlative, excluding some other possibility. Denying the correlative where an attempt is made to introduce another option into a true correlative. Suppressed correlative

  6. 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 ...

  7. 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 ...

  8. Today's Wordle Hint, Answer for #1271 on Wednesday, December ...

    www.aol.com/todays-wordle-hint-answer-1271...

    Hints and the solution for today's Wordle on Wednesday, December 11.

  9. Causal reasoning - Wikipedia

    en.wikipedia.org/wiki/Causal_reasoning

    Causal reasoning is the process of identifying causality: the relationship between a cause and its effect.The study of causality extends from ancient philosophy to contemporary neuropsychology; assumptions about the nature of causality may be shown to be functions of a previous event preceding a later one.