{"title":"数字的人类起源指标","authors":"Vitaliy Grigoriev","doi":"arxiv-2406.10240","DOIUrl":null,"url":null,"abstract":"Researchers have demonstrated that humans are unable to generate a sequence\nof random numbers that corresponds in a statistical sense to a simple\ndistribution such as the uniform distribution. The purpose of this article is\nto present the results of research on the generation of random number sequences\nby humans. The article describes 10 effects found in such studies, mechanisms\nexplaining these effects, and 14 measures (not including modifications) used to\ndetect deviations from randomness in the sequences. The analysis of numerical\nsequences is not only of academic interest; it can also be used for the purpose\nof data validation (auditing).","PeriodicalId":501462,"journal":{"name":"arXiv - MATH - History and Overview","volume":"34 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Indicators of the human origin of numbers\",\"authors\":\"Vitaliy Grigoriev\",\"doi\":\"arxiv-2406.10240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Researchers have demonstrated that humans are unable to generate a sequence\\nof random numbers that corresponds in a statistical sense to a simple\\ndistribution such as the uniform distribution. The purpose of this article is\\nto present the results of research on the generation of random number sequences\\nby humans. The article describes 10 effects found in such studies, mechanisms\\nexplaining these effects, and 14 measures (not including modifications) used to\\ndetect deviations from randomness in the sequences. The analysis of numerical\\nsequences is not only of academic interest; it can also be used for the purpose\\nof data validation (auditing).\",\"PeriodicalId\":501462,\"journal\":{\"name\":\"arXiv - MATH - History and Overview\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - History and Overview\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2406.10240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - History and Overview","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.10240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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).
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
