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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. Coincidence - Wikipedia

    en.wikipedia.org/wiki/Coincidence

    A coincidence is a remarkable concurrence of events or circumstances that have no apparent causal connection with one another. [2] The perception of remarkable coincidences may lead to supernatural , occult , or paranormal claims, or it may lead to belief in fatalism , which is a doctrine that events will happen in the exact manner of a ...

  4. 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 ...

  5. Stocks hate this one weird trick from the calendar - AOL

    www.aol.com/stocks-hate-one-weird-trick...

    Of course, correlation doesn’t equal causation. Notably, leap years tend to correspond with US presidential election years. While the uncertainty surrounding the election can cause some ...

  6. Post hoc ergo propter hoc - Wikipedia

    en.wikipedia.org/wiki/Post_hoc_ergo_propter_hoc

    The form of the post hoc fallacy is expressed as follows: . A occurred, then B occurred.; Therefore, A caused B. When B is undesirable, this pattern is often combined with the formal fallacy of denying the antecedent, assuming the logical inverse holds: believing that avoiding A will prevent B.

  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 ...

  8. Synchronicity - Wikipedia

    en.wikipedia.org/wiki/Synchronicity

    Correlation does not imply causation – Refutation of a logical fallacy; Ideas and delusions of reference – Phenomenon involving innocuous events; Look-elsewhere effect – Statistical analysis phenomenon; Post hoc ergo propter hoc – Fallacy of assumption of causality based on sequence of events

  9. Grouped events - Wikipedia

    en.wikipedia.org/wiki/Grouped_events

    A coincidence example is two friends from the same town finding each other at the same time in the town's library without any planning. The result is unexpected yet has no meaning (significance). The result is unexpected yet has no meaning (significance).