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  2. Causal reasoning - Wikipedia

    en.wikipedia.org/wiki/Causal_reasoning

    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.

  3. Causality - Wikipedia

    en.wikipedia.org/wiki/Causality

    Causality is an influence by which one event, process, state, or object (acause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least partly responsible for the effect, and the effect is at least partly dependent on the cause. In general, a process can have multiple causes, [ 1 ...

  4. 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. [1][2] The ...

  5. Correlation does not imply causation - Wikipedia

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

    The phrase " correlation does not imply causation " refers to the inability to legitimately deduce a cause-and-effect relationship between two events or variables solely on the basis of an observed association or correlation between them. [1][2] The idea that "correlation implies causation" is an example of a questionable-cause logical fallacy ...

  6. Ishikawa diagram - Wikipedia

    en.wikipedia.org/wiki/Ishikawa_diagram

    Purpose. To break down (in successive layers of detail) root causes that potentially contribute to a particular effect. Ishikawa diagrams (also called fishbone diagrams, [1] herringbone diagrams, cause-and-effect diagrams) are causal diagrams created by Kaoru Ishikawa that show the potential causes of a specific event. [2]

  7. Causal model - Wikipedia

    en.wikipedia.org/wiki/Causal_model

    Causal model. In metaphysics, a causal model (or structural causal model) is a conceptual model that describes the causal mechanisms of a system. Several types of causal notation may be used in the development of a causal model. Causal models can improve study designs by providing clear rules for deciding which independent variables need to be ...

  8. Five whys - Wikipedia

    en.wikipedia.org/wiki/Five_whys

    In this example, the fifth "why" suggests a broken process or an alterable behavior, which is indicative of reaching the root-cause level. This nature of the answer to the fifth why in the example is an important aspect of the five why approach. The real root cause should point toward a process that is not working well or does not exist. [4]

  9. Fallacy of the single cause - Wikipedia

    en.wikipedia.org/wiki/Fallacy_of_the_single_cause

    The fallacy of the single cause, also known as complex cause, causal oversimplification, [1] causal reductionism, root cause fallacy, and reduction fallacy, [2] is an informal fallacy of questionable cause that occurs when it is assumed that there is a single, simple cause of an outcome when in reality it may have been caused by a number of only jointly sufficient causes.