Assessments of attributes such as Quality are seen as non-numeric only (Low, Medium, High), based on qualitative criteria. In order to combine such assessments with those such as Cost, Schedule and Scope, which start as quantitative (numeric), all assessments are degraded to qualitative (Low, Medium, and High). Subsequent risk prioritization must then violate allowable mathematical properties of such an ordinal series. Further, the precise, numeric assessments of the other three objectives are lost in favor of what is perceived as an important but numerically unmeasureable attribute of Quality.

Further, risk management doctrine generally asserts that quantitative measurement is very much more expensive than such qualitative measurement. This presenter counters that assumption with techniques that are unequivocally quantitative, but costing no more than mathematically and operationally inferior quantitative devaluations.

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