Quantitative fallacy: Difference between revisions
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* [[Qualitative techniques]] | * [[Qualitative techniques]] | ||
* [[Quantitative easing]] | * [[Quantitative easing]] | ||
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* [[Quantitative techniques]] | * [[Quantitative techniques]] | ||
Latest revision as of 12:48, 12 April 2023
The quantitative fallacy is the mistaken belief that the only important inputs for decision-making are observations that can be quantified.
It leads to undervaluing, or even disregarding, essential decision-making information that cannot readily be quantified.
Leading, in turn, to poor - even disastrous - decisions.
The quantitative fallacy is sometimes known as the McNamara fallacy.
