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  2. McNamara fallacy - Wikipedia

    en.wikipedia.org/wiki/McNamara_fallacy

    The McNamara fallacy (also known as the quantitative fallacy), [1] named for Robert McNamara, the US Secretary of Defense from 1961 to 1968, involves making a decision based solely on quantitative observations (or metrics) and ignoring all others. The reason given is often that these other observations cannot be proven.

  3. List of fallacies - Wikipedia

    en.wikipedia.org/wiki/List_of_fallacies

    Logical Fallacies, Literacy Education Online; Informal Fallacies, Texas State University page on informal fallacies; Stephen's Guide to the Logical Fallacies (mirror) Visualization: Rhetological Fallacies, Information is Beautiful; Master List of Logical Fallacies, University of Texas at El Paso; Fallacies, Internet Encyclopedia of Philosophy

  4. Category:Quantificational fallacies - Wikipedia

    en.wikipedia.org/wiki/Category:Quantificational...

    Existential fallacy; P. Proof by example; Q. Quantifier shift This page was last edited on 2 June 2023, at 23:44 (UTC). Text ...

  5. Quantifier shift - Wikipedia

    en.wikipedia.org/wiki/Quantifier_shift

    A quantifier shift is a logical fallacy in which the quantifiers of a statement are erroneously transposed during the rewriting process. The change in the logical nature of the statement may not be obvious when it is stated in a natural language like English .

  6. Misuse of statistics - Wikipedia

    en.wikipedia.org/wiki/Misuse_of_statistics

    The subject being studied is not well defined, [8] or some of its aspects are easy to quantify while others hard to quantify or there is no known quantification method (see McNamara fallacy). For example: While IQ tests are available and numeric it is difficult to define what they measure, as intelligence is an elusive concept.

  7. Berkson's paradox - Wikipedia

    en.wikipedia.org/wiki/Berkson's_paradox

    Berkson's paradox, also known as Berkson's bias, collider bias, or Berkson's fallacy, is a result in conditional probability and statistics which is often found to be counterintuitive, and hence a veridical paradox. It is a complicating factor arising in statistical tests of proportions.

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  9. Quantifier (logic) - Wikipedia

    en.wikipedia.org/wiki/Quantifier_(logic)

    The range of quantification specifies the set of values that the variable takes. In the examples above, the range of quantification is the set of natural numbers. Specification of the range of quantification allows us to express the difference between, say, asserting that a predicate holds for some natural number or for some real number.