{"id":3366,"date":"2014-02-28T12:44:25","date_gmt":"2014-02-28T12:44:25","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3366"},"modified":"2014-03-06T17:31:41","modified_gmt":"2014-03-06T17:31:41","slug":"breakthrough-avert-analytics-treacherous-pitfall","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/breakthrough-avert-analytics-treacherous-pitfall\/3366\/","title":{"rendered":"Breakthrough: How to Avert Analytics&#8217; Most Treacherous Pitfall"},"content":{"rendered":"This article will make you feel better. And you do need to feel better, if you are one of the many of us who practice analytics\u2014or who must consume and rely on analytics\u2014and find ourselves carrying tension in our shoulders or sometimes losing sleep. The fear stems from a well-known warning of tragic mishap: &#8220;If you torture the data long enough, it will confess,&#8221; as stated by University of Chicago economics professor Ronald Coase. There is a general sense that math could be wrong and that analytics is an art. As John Elder of Elder Research put it, <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/breakthrough-avert-analytics-treacherous-pitfall\/3366\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>This article will make you feel better. And you do need to feel better, if you are one of the many of us who practice analytics\u2014or who must consume and rely on analytics\u2014and find ourselves carrying tension in our shoulders or sometimes losing sleep. The fear stems from a well-known warning of tragic mishap: &#8220;If [&hellip;]<\/p>\n","protected":false},"author":83,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-3366","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/83"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=3366"}],"version-history":[{"count":9,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3366\/revisions"}],"predecessor-version":[{"id":3398,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3366\/revisions\/3398"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}