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估计冲突损失和报告偏见
Benjamin J Radford1,2, Yaoyao Dai3, Niklas Stoehr4
1Public Policy Program, University of North Carolina at Charlotte, Charlotte, NC 28223.
概括
由于数据不可靠,估计冲突人员伤亡是具有挑战性的. 这项研究开发了一个统计模型来分析4,609份报告,发现俄罗斯的人员损失比乌克兰更多,双方都夸大了敌方的损失.
科学领域:
- 冲突研究 冲突研究
- 统计建模 统计建模
- 国际关系 国际关系
背景情况:
- 准确的伤亡和死亡数据对于冲突分析,测量和问责至关重要.
- 在军事化冲突中,可靠的统计数据往往很少,原因是故意操纵或缺乏访问权限.
- 俄罗斯-乌克兰冲突是报告损失估计的广泛差异的一个例子.
研究的目的:
- 开发一种可靠的方法来估计冲突伤亡和死亡人数,使用多个可能有偏见的报告来源.
- 为了考虑来源偏差,损失类型的相互依赖性,以及报告的不同时间尺度.
- 为了提供在俄罗斯-乌克兰冲突中人员损失的更准确的估计.
主要方法:
- 汇编了一套包含4609份关于冲突双方军事和平民损失的报告的数据集.
- 开发一个设计用于估计损失的统计模型,同时考虑报告偏差和相关性.
- 在不同的时间细分度 (每日和累积) 中整合损失报告.
主要成果:
- 统计模型表明,与乌克兰相比,俄罗斯的人员损失较高.
- 有证据表明,俄罗斯的死亡伤亡率可能更高.
- 俄罗斯和乌克兰似乎都高估了对手的人员损失,而俄罗斯的消息来源倾向于低估自己的损失.
结论:
- 开发的统计方法提供了一种更可靠的方法来估计冲突中的伤亡人数,并提供有偏见的报道.
- 调查结果表明,俄罗斯和乌克兰在人员损失和报告准确性方面存在重大不对称性.
- 该研究强调了在冲突研究和情报收集中对数据源进行批判性评估的必要性.
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