Lucia de Berk法庭案件中的数据选择和混淆
Data selection and confounding in the court case of Lucia de Berk
摘要：
护士露西娅·德·伯克被荷兰法院判定为连环杀手，在她工作的三家医院犯有7起谋杀罪和3起谋杀未遂罪。然而，这位护士总是声称自己是无辜的，事实上，从来没有人看到过这样的谋杀行为。法院的裁决是以间接证据和统计数据为依据的。上诉法院废除了使用统计计算，但不排除使用“数据”和“统计见解”。这项试验主要取决于统计和数据收集的作用。在这种情况下，数据选择和混淆特征似乎很强。“名义相关性”的概念可以用来突出这两个特征。这意味着一个无辜的人被定罪。
英文摘要：
The nurse Lucia de Berk was convicted by the Dutch courts as a serial killer with 7 murders and 3 attempts at murder in three hospitals where she worked. The nurse however always professed her innocence and indeed was never observed in such an act of murder. The courts based their decision on circumstantial evidence and upon the use of statistics. In the appeal court, the use of statistical calculations was repealed but the use of "data" and "statistical insights" were not excluded. The trial hinged importantly on the role of statistics and data gathering. It appears that data selection and confounding feature strongly in this case. The notion of "nominal correlation" can be used to highlight those two features. This suggests a mistrial with the conviction of an innocent person.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
