2016
DOI: 10.1080/03050629.2017.1273914
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Measuring Military Effectiveness: Calculating Casualty Loss-Exchange Ratios for Multilateral Wars, 1816–1990

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Cited by 11 publications
(2 citation statements)
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“…This supralinear trend showing increase in both absolute numbers and proportions of casualties to war group size is unexpected. The supralinear increase in conflict casualties (C) and proportions of casualties with respect to war groups (C/W) in any individual conflict might be caused by increased CL because of more effective weaponry ( 16 , 24 , 25 ). A more likely explanation is that, in large societies with established public infrastructure, high numbers of noncombatant deaths might arise because of postconflict infrastructure collapse after revenue depletion, diversion of resources to conflict efforts, and targeted annihilation of enemy groups that might include civilians and noncombatants.…”
Section: Discussionmentioning
confidence: 99%
“…This supralinear trend showing increase in both absolute numbers and proportions of casualties to war group size is unexpected. The supralinear increase in conflict casualties (C) and proportions of casualties with respect to war groups (C/W) in any individual conflict might be caused by increased CL because of more effective weaponry ( 16 , 24 , 25 ). A more likely explanation is that, in large societies with established public infrastructure, high numbers of noncombatant deaths might arise because of postconflict infrastructure collapse after revenue depletion, diversion of resources to conflict efforts, and targeted annihilation of enemy groups that might include civilians and noncombatants.…”
Section: Discussionmentioning
confidence: 99%
“…The Loss Exchange Ratio Dataset or Richmond War Casualties Project records directed casualties data from all interstate wars between 1816 and 1990 (McNabb Cochran and Long 2017). The data is constructed from individual battles but multiple entries are recorded for individual battles and battle locations are not recorded.…”
Section: Previous Datasetsmentioning
confidence: 99%