法律对赤裸裸的统计数据和其他错误的厌恶

IF 1.2 Q1 LAW Legal Theory Pub Date : 2022-07-26 DOI:10.1017/S135232522200012X
R. Allen, Christopher Smiciklas
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引用次数: 4

摘要

摘要大量文献探讨了该定律对统计/概率证据的厌恶,尤其是对赤裸裸的统计证据的排斥。这篇文献建立在错误的前提之上。至少就美国法律而言,人们并不普遍厌恶统计证据形式,即使是赤裸裸的统计数据,当证据提供者符合正常的可采标准时,也足以做出裁决,其中最重要的是可靠性。相反的看法建立在一系列错误之上:最重要的是,对法律体系结构和普通法决策性质的错误建模。导致这些错误的是,这篇文献中常见的方法论,即依赖于对潜在法律关系建模错误的奇怪假设,并包含不可能的认识论要求。总的来说,这些现象分散了人们对实际影响实际法律制度的问题的注意力。
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THE LAW'S AVERSION TO NAKED STATISTICS AND OTHER MISTAKES
ABSTRACT A vast literature has developed probing the law's aversion to statistical/probability evidence in general and its rejection of naked statistical evidence in particular. This literature rests on false premises. At least so far as US law is concerned, there is no general aversion to statistical forms of proof and even naked statistics are admissible and sufficient for a verdict when the evidentiary proffer meets the normal standards of admissibility, the most important of which is reliability. The belief to the contrary rests upon a series of mistakes: most importantly, mismodeling of the structure of legal systems and the nature of common law decision making. Contributing to these mistakes is the common methodology in this literature of relying on weird hypotheticals that mismodel the underlying legal relations and contain impossible epistemological demands. Collectively, these phenomena have distracted attention from issues that actually affect real legal systems.
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
15
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