{"id":8462,"date":"2017-02-02T14:20:51","date_gmt":"2017-02-02T19:20:51","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=8462"},"modified":"2017-02-02T14:20:51","modified_gmt":"2017-02-02T19:20:51","slug":"election-analytics-falacies-moneyball-doesnt-always-win","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/election-analytics-falacies-moneyball-doesnt-always-win\/8462\/","title":{"rendered":"Election Analytics Falacies: &#8220;Moneyball&#8221; Doesn&#8217;t Always Win"},"content":{"rendered":"Originally published in CivicHall.org For the past week or so, an article titled \u201cThe Data That Turned the World Upside Down\u201d has been following me around like a bad headcold. The article tells a compelling \u201cwhodunit\u201d story of data scientists, engineers, and political communicators, all fighting for control of a new, weaponized form of online political propaganda. It leads readers to the conclusion that conservative data vendor Cambridge Analytica (CA) used Big Data and \u201cpsychometric targeting\u201d (also called psychographic targeting) to propel Donald Trump to the White House. I\u2019ve written about Cambridge Analytica before (several times, in fact). <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/election-analytics-falacies-moneyball-doesnt-always-win\/8462\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in CivicHall.org For the past week or so, an article titled \u201cThe Data That Turned the World Upside Down\u201d has been following me around like a bad headcold. The article tells a compelling \u201cwhodunit\u201d story of data scientists, engineers, and political communicators, all fighting for control of a new, weaponized form of online [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[230,166,67,869],"class_list":["post-8462","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-data-analytics","tag-data-science","tag-election","tag-election-data"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8462","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\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=8462"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8462\/revisions"}],"predecessor-version":[{"id":8464,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8462\/revisions\/8464"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=8462"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=8462"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=8462"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}