{"id":473,"date":"2020-09-07T13:40:29","date_gmt":"2020-09-07T13:40:29","guid":{"rendered":"https:\/\/www.allendowney.com\/blog\/?p=473"},"modified":"2020-09-07T13:40:29","modified_gmt":"2020-09-07T13:40:29","slug":"fair-cross-section","status":"publish","type":"post","link":"https:\/\/www.allendowney.com\/blog\/2020\/09\/07\/fair-cross-section\/","title":{"rendered":"Fair cross-section"},"content":{"rendered":"\n<p><strong>Abstract<\/strong>: The unusual circumstances of Curtis Flowers&#8217; trials make it possible to estimate the probabilities that white and black jurors would vote to convict him, 98% and 68% respectively, and the probability a jury of his peers would find him guilty, 15%.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Background<\/h4>\n\n\n\n<p>Curtis Flowers was tried six times for the same crime.  Four trials ended in conviction; two ended in a mistrial due to a hung jury.  <\/p>\n\n\n\n<p>Three of the convictions were invalidated by the Mississippi Supreme Court, at least in part because the prosecution had excluded black jurors, depriving Flowers of the right to trial by a jury composed of a &#8220;<a href=\"https:\/\/openscholarship.wustl.edu\/cgi\/viewcontent.cgi?article=1060&amp;context=law_urbanlaw\">fair cross-section of the community<\/a>&#8220;.<\/p>\n\n\n\n<p>In 2019, the fourth conviction was invalidated by the Supreme Court of the United States for the same reason.  And on September 5, 2020, <a href=\"https:\/\/www.npr.org\/2020\/09\/05\/910061573\/after-6-trials-prosecutors-drop-charges-against-curtis-flowers\">Mississippi state attorneys announced that charges against him would be dropped<\/a>.<\/p>\n\n\n\n<p>Because of the unusual circumstances of these trials, we can perform a statistical analysis that is normally impossible: we can estimate the probability that black and white jurors would vote to convict, and use those estimates to compute the probability that he would be convicted by a jury that represents the racial makeup of Montgomery County.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Results<\/h4>\n\n\n\n<p>According to my analysis, the probability that a white juror in this pool would vote to convict Flowers, given the evidence at trial, is 98%.  The same probability for black jurors is 68%.  So this difference is substantial.<\/p>\n\n\n\n<p>The probability that Flowers would be convicted by a fair jury is only 15%, and the probability that he would be convicted four times out of six times is less than 1%.  <\/p>\n\n\n\n<p>The following figure shows the probability of a guilty verdict as a function of the number of black jurors:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"424\" height=\"280\" src=\"https:\/\/www.allendowney.com\/blog\/wp-content\/uploads\/2020\/09\/image-1.png\" alt=\"\" class=\"wp-image-475\" srcset=\"https:\/\/www.allendowney.com\/blog\/wp-content\/uploads\/2020\/09\/image-1.png 424w, https:\/\/www.allendowney.com\/blog\/wp-content\/uploads\/2020\/09\/image-1-300x198.png 300w, https:\/\/www.allendowney.com\/blog\/wp-content\/uploads\/2020\/09\/image-1-409x270.png 409w\" sizes=\"auto, (max-width: 424px) 100vw, 424px\" \/><\/figure>\n\n\n\n<p>According to the model, the probability of a guilty verdict is 55% with an all-white jury.  If the jury includes 5-6 black jurors, which would be representative of Montgomery County, the probability of conviction would be only 14-15%.<\/p>\n\n\n\n<p>The shaded area represents a 90% credible interval.  It is quite wide, reflecting uncertainty due to limits of the data.  Also, the model is based on the simplifying assumptions that<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>All six juries saw essentially the same evidence,<\/li><li>The probabilities we&#8217;re estimating did not change substantially over the period of the trials,<\/li><li>Interactions between jurors had negligible effects on their votes,<\/li><li>If any juror refuses to convict, the result is a hung jury.<\/li><\/ul>\n\n\n\n<p>For the details of the analysis, you can<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/nbviewer.jupyter.org\/github\/AllenDowney\/ThinkBayes2\/blob\/master\/examples\/jury.ipynb\">Read this Jupyter notebook<\/a>, or<\/li><li><a href=\"https:\/\/colab.research.google.com\/github\/AllenDowney\/ThinkBayes2\/blob\/master\/examples\/jury.ipynb\">Run the notebook on Colab<\/a>.<\/li><\/ul>\n\n\n\n<p>Thanks to the <a href=\"https:\/\/www.zmolaw.com\/\">Law Office of Zachary Margulis-Ohnuma<\/a> for their assistance with this article and for their continuing good work for equal justice.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: The unusual circumstances of Curtis Flowers&#8217; trials make it possible to estimate the probabilities that white and black jurors would vote to convict him, 98% and 68% respectively, and the probability a jury of his peers would find him guilty, 15%. Background Curtis Flowers was tried six times for the same crime. Four trials ended in conviction; two ended in a mistrial due to a hung jury. Three of the convictions were invalidated by the Mississippi Supreme Court, at&#8230;<\/p>\n<p class=\"read-more\"><a class=\"btn btn-default\" href=\"https:\/\/www.allendowney.com\/blog\/2020\/09\/07\/fair-cross-section\/\"> Read More<span class=\"screen-reader-text\">  Read More<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[71,75,76,16,77],"class_list":["post-473","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-bayesian-statistics","tag-curtis-flowers","tag-jury","tag-python","tag-trial"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Fair cross-section - Probably Overthinking It<\/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:\/\/www.allendowney.com\/blog\/2020\/09\/07\/fair-cross-section\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Fair cross-section - Probably Overthinking It\" \/>\n<meta property=\"og:description\" content=\"Abstract: The unusual circumstances of Curtis Flowers&#8217; trials make it possible to estimate the probabilities that white and black jurors would vote to convict him, 98% and 68% respectively, and the probability a jury of his peers would find him guilty, 15%. 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As always, there are many answers to a question like this, and the good people of Reddit provide several. But the first and most popular answer is, in my humble\u2026","rel":"","context":"In \"bayesian\"","block_context":{"text":"bayesian","link":"https:\/\/www.allendowney.com\/blog\/tag\/bayesian\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":259,"url":"https:\/\/www.allendowney.com\/blog\/2019\/08\/01\/left-right-part-3\/","url_meta":{"origin":473,"position":3},"title":"Left, right, part 3","author":"AllenDowney","date":"August 1, 2019","format":false,"excerpt":"In the first article in this series, I looked at data from the General Social Survey (GSS) to see how political alignment in the U.S. has changed, on the axis from conservative to liberal, over the last 50 years. In the second article, I suggested that self-reported political alignment could\u2026","rel":"","context":"In \"general social survey\"","block_context":{"text":"general social survey","link":"https:\/\/www.allendowney.com\/blog\/tag\/general-social-survey\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.allendowney.com\/blog\/wp-content\/uploads\/2019\/08\/image-1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1465,"url":"https:\/\/www.allendowney.com\/blog\/2024\/12\/20\/political-alignment-and-outlook\/","url_meta":{"origin":473,"position":4},"title":"Political Alignment and Outlook","author":"AllenDowney","date":"December 20, 2024","format":false,"excerpt":"This is the fourth in a series of excerpts from Elements of Data Science, now available from Lulu.com and online booksellers. It's from Chapter 15, which is part of the political alignment case study. You can read the complete chapter here, or run the Jupyter notebook on Colab. In the\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.allendowney.com\/blog\/wp-content\/uploads\/2024\/12\/c66dd4e209513c6b52923f0279d558dc7cf98d7002a9608170da7c0372146851.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1496,"url":"https:\/\/www.allendowney.com\/blog\/2025\/01\/20\/1496\/","url_meta":{"origin":473,"position":5},"title":"Algorithmic Fairness","author":"AllenDowney","date":"January 20, 2025","format":false,"excerpt":"This is the last in a series of excerpts from Elements of Data Science, now available from Lulu.com and online booksellers. This article is based on the Recidivism Case Study, which is about algorithmic fairness. The goal of the case study is to explain the statistical arguments presented in two\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/posts\/473","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/comments?post=473"}],"version-history":[{"count":2,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/posts\/473\/revisions"}],"predecessor-version":[{"id":477,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/posts\/473\/revisions\/477"}],"wp:attachment":[{"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/media?parent=473"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/categories?post=473"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/tags?post=473"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}