Abstract
This paper formulates a strategy for assessing bias, and applies it to quantitative assessments of the disaster of war in Darfur [Sudan]. In so doing it argues for qualitative investigations of quantitative analyses. The strategy examines epistemic and political regimes with the goal of revealing the sources, the directions, and the forces of bias. Examples of bias are discussed to illustrate the strategy including, among others, the draw-a-person IQ test, questions about how old you are or whether you can bear children in Chad, and the US army’s Human Terrain System. Considerable attention is paid to US governmental biasing of its claims of war fatalities and genocide in Darfur. This biasing is shown to involve cherry picking, symbolic violence, and high-channel regimes of bias. It is shown how the bias assessment strategy may be of use in evaluating moral claims.
Highlights
Stephen ReynaThis paper formulates a strategy for assessing bias, and applies it to quantitative assessments of the disaster of war in Darfur [Sudan]
Darfur in the Sudan experienced the reoccurrence of grim warfare in 2003, with the onset of paramilitary operations against government targets
Darfur until recently a backwater among backwaters came in the first years of the 21st century to dominate headlines as a place of the monstrosities of war so great that some declared genocide; which is why this paper investigates Darfuri war fatalities and their bias
Summary
This paper formulates a strategy for assessing bias, and applies it to quantitative assessments of the disaster of war in Darfur [Sudan]. In so doing it argues for qualitative investigations of quantitative analyses. Considerable attention is paid to US governmental biasing of its claims of war fatalities and genocide in Darfur. This biasing is shown to involve cherry picking, symbolic violence, and high-channel regimes of bias. It is shown how the bias assessment strategy may be of use in evaluating moral claims
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