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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.

  3. 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.

  4. Questionable cause - Wikipedia

    en.wikipedia.org/wiki/Questionable_cause

    Therefore the sunny day causes me to score well on the test." 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

  5. Bradford Hill criteria - Wikipedia

    en.wikipedia.org/wiki/Bradford_Hill_criteria

    Specificity: Causation is likely if there is a very specific population at a specific site and disease with no other likely explanation. The more specific an association between a factor and an effect is, the bigger the probability of a causal relationship.

  6. Association fallacy - Wikipedia

    en.wikipedia.org/wiki/Association_fallacy

    The association fallacy is a formal logical fallacy that asserts that properties of one thing must also be properties of another thing if both things belong to the same group. For example, a fallacious arguer may claim that "bears are animals, and bears are dangerous; therefore your dog, which is also an animal, must be dangerous."

  7. Causal inference - Wikipedia

    en.wikipedia.org/wiki/Causal_inference

    Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed.

  8. List of fallacies - Wikipedia

    en.wikipedia.org/wiki/List_of_fallacies

    Association fallacy (guilt by association and honor by association) – arguing that because two things share (or are implied to share) some property, they are the same. [94] Logic chopping fallacy (nit-picking, trivial objections) – Focusing on trivial details of an argument, rather than the main point of the argumentation. [95] [96]

  9. Causality - Wikipedia

    en.wikipedia.org/wiki/Causality

    Knowing that causation is a matter of counterfactual dependence, we may reflect on the nature of counterfactual dependence to account for the nature of causation. For example, in his paper "Counterfactual Dependence and Time's Arrow," Lewis sought to account for the time-directedness of counterfactual dependence in terms of the semantics of the ...