Indicators of the human origin of numbers

Vitaliy Grigoriev
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Abstract

Researchers have demonstrated that humans are unable to generate a sequence of random numbers that corresponds in a statistical sense to a simple distribution such as the uniform distribution. The purpose of this article is to present the results of research on the generation of random number sequences by humans. The article describes 10 effects found in such studies, mechanisms explaining these effects, and 14 measures (not including modifications) used to detect deviations from randomness in the sequences. The analysis of numerical sequences is not only of academic interest; it can also be used for the purpose of data validation (auditing).
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数字的人类起源指标
研究人员已经证明,人类无法生成在统计意义上与均匀分布等简单分布相对应的随机数序列。本文旨在介绍有关人类生成随机数序列的研究成果。文章介绍了在此类研究中发现的 10 种效应、解释这些效应的机制,以及用于检测序列中随机性偏差的 14 种测量方法(不包括修改)。对数字序列的分析不仅具有学术意义,还可用于数据验证(审计)目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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