{"id":38664,"date":"2022-07-20T00:00:00","date_gmt":"2022-07-19T21:00:00","guid":{"rendered":"http:\/\/neaman.s390.upress.link\/benfords-law\/"},"modified":"2024-12-24T10:10:38","modified_gmt":"2024-12-24T08:10:38","slug":"benfords-law","status":"publish","type":"post","link":"https:\/\/neaman.org.il\/en\/benfords-law\/","title":{"rendered":"Benford\u2019s Law: A survey of its varied applications"},"content":{"rendered":"<p>Benford\u2019s Law, or Newcomb-Benford Law, states that in many data sets, the leading digits (1\u2019s, 2\u2019s, etc.) will be much more frequent \u2013 30% will be 1\u2019s, for instance.<\/p>\n<p>This law has been widely used in many applications, including detection of fraud and data manipulation. This paper surveys some of the more interesting papers, and offers an explanation of the Law.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Benford\u2019s Law, or Newcomb-Benford Law, states that in many data sets, the leading digits (1\u2019s, 2\u2019s, etc.) will be much more frequent \u2013 30% will be 1\u2019s, for instance. This law has been widely used in many applications, including detection of fraud and data manipulation. This paper surveys some of the more interesting papers, and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":16940,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"categories":[28],"tags":[294,57,40,42],"post_category":[11],"class_list":["post-38664","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-report","tag-294","tag-academic-research","tag-economy","tag-science-and-technology","post_category-science-engineering"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Benford\u2019s Law: A survey of its varied applications - Samuel Neaman Institute<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/neaman.org.il\/en\/benfords-law\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Benford\u2019s Law: A survey of its varied applications - Samuel Neaman Institute\" \/>\n<meta property=\"og:description\" content=\"Benford\u2019s Law, or Newcomb-Benford Law, states that in many data sets, the leading digits (1\u2019s, 2\u2019s, etc.) will be much more frequent \u2013 30% will be 1\u2019s, for instance. This law has been widely used in many applications, including detection of fraud and data manipulation. 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