{"id":956,"date":"2023-06-10T16:23:17","date_gmt":"2023-06-10T16:23:17","guid":{"rendered":"https:\/\/www.allendowney.com\/blog\/?p=956"},"modified":"2023-06-10T16:23:17","modified_gmt":"2023-06-10T16:23:17","slug":"abstracts-and-keywords","status":"publish","type":"post","link":"https:\/\/www.allendowney.com\/blog\/2023\/06\/10\/abstracts-and-keywords\/","title":{"rendered":"Abstracts and keywords"},"content":{"rendered":"\n<p>As <em>Probably Overthinking It<\/em> approaches the finish line, there are just a few more tasks: I am working on the index and &#8212; as I have recently learned &#8212; I also have to write a 200-word abstract, a list of keywords for each chapter, and a 250-word abstract for the whole book. I have come to two conclusions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>There is no good software for making an index from a PDF document.<\/li>\n\n\n\n<li>ChatGPT is pretty good at writing chapter abstracts.<\/li>\n<\/ul>\n\n\n\n<p>By converting each chapter to a simple text file (no figures and tables) I was able to get most of them under the ~4000 token limit. Then I asked, &#8220;write a one-paragraph abstract for this chapter with no more than 180 words. write about the chapter in the third person&#8221;.<\/p>\n\n\n\n<p>Here&#8217;s the unedited abstract for the last chapter:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>The chapter titled &#8220;Chasing the Overton Window&#8221; explores the phenomenon of people considering themselves more conservative as they age, despite their views actually becoming more liberal over time. The chapter begins by examining the trends of self-identification and political views across different age groups. It then delves into the concept of the Overton window, which represents the range of acceptable public opinion on a given issue. The chapter explains how the center of public opinion has shifted toward liberalism over the past 50 years and how the relative terms &#8220;liberal&#8221; and &#8220;conservative&#8221; depend on the perceived center. Furthermore, it demonstrates that both liberals and conservatives have become more liberal over time. The chapter concludes by proposing an explanation for why people think they are becoming more conservative, even though their views are becoming more liberal, which involves the interplay of generational effects, the shifting center of public opinion, and the connotations associated with political labels.<\/p>\n<cite>ChatGPT June 10, 2023<\/cite><\/blockquote>\n\n\n\n<p>It&#8217;s not great prose, but I think I can revise it into something acceptable without much effort.<\/p>\n\n\n\n<p>Three of the chapters exceeded the token limit, so I asked for a summary of the first half, then a summary of the second half, then I asked, &#8220;Combine the following two abstracts into a single paragraph with no more than 180 words&#8221;. Here&#8217;s the combined abstract of Chapter 8:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>This chapter delves into the distribution of natural and human-caused disasters, investigating their sizes, costs, prevalence, and characteristics within long-tailed distributions. Understanding the probabilities of major disasters is crucial for effective preparedness and response, despite the challenge of comprehending rare and large-scale events. By analyzing a dataset of 125 disasters, including hurricanes, earthquakes, floods, nuclear disasters, and terror attacks, the author demonstrates a pattern where doubling the rank of a disaster corresponds to halving its costs when plotted on a logarithmic scale. While exploring the limitations of the lognormal distribution in predicting the probabilities of large disasters, the author introduces Student&#8217;s t-distribution as a more suitable model for estimating the probabilities of extreme events. The chapter also examines lunar craters and their abundance and sizes, revealing the prevalence of long-tailed distributions and their connection to asteroid sizes. Additionally, it explores the occurrence of long-tailed distributions in stock market crashes and introduces the concept of black swans to emphasize their relevance in understanding rare and impactful events. Concluding the chapter, it discusses the challenges associated with predicting and comprehending rare, large events in a long-tailed world, with a specific focus on earthquake magnitudes and a comparison of prediction models.<\/p>\n<cite>ChatGPT June 10, 2023<\/cite><\/blockquote>\n\n\n\n<p>Again, I think that&#8217;s editing distance away from acceptable &#8212; and a near perfect 198 words.<\/p>\n\n\n\n<p>It does pretty well with keywords, too:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Disasters<\/li>\n\n\n\n<li>Long-tailed distributions<\/li>\n\n\n\n<li>Probabilities<\/li>\n\n\n\n<li>Preparedness<\/li>\n\n\n\n<li>Response<\/li>\n\n\n\n<li>Natural events<\/li>\n\n\n\n<li>Human-made incidents<\/li>\n\n\n\n<li>Lognormal distribution<\/li>\n\n\n\n<li>Student&#8217;s t-distribution<\/li>\n\n\n\n<li>Black swans<\/li>\n<\/ol>\n\n\n\n<p>To generate the abstract for the whole book, I pasted the chapter abstracts and keywords into a single document and asked, &#8220;the following are chapter abstracts for a book called &#8216;Probably Overthinking It&#8217;. write a one-paragraph abstract for the whole book, more than 200 words, but not more than 250 words. write about the book in the third person. not too much like an ad&#8221;<\/p>\n\n\n\n<p>Here&#8217;s the unedited result:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Probably Overthinking It&#8221; is a thought-provoking book that delves into various statistical and cognitive paradoxes, challenging common intuitions and shedding light on the complexities of human behavior and measurement. Through a series of captivating chapters, the author explores topics such as normalcy and weirdness, inspection paradoxes, family size and population growth, lognormal distributions, expected remaining time, Berkson&#8217;s paradox, low birthweight paradox, long-tailed distributions, fairness and fallacy in algorithmic decision-making, Simpson&#8217;s paradox, the moral circle, the evolution of societal values, and the shifting perceptions of political ideologies. By analyzing real-world data and employing statistical models, the book uncovers the nuances and contradictions that emerge when multiple factors interact, leading to counterintuitive outcomes. Readers will gain a deeper understanding of statistical biases, the limitations of measurement, and the challenges inherent in making accurate predictions and drawing meaningful conclusions. &#8220;Probably Overthinking It&#8221; encourages readers to question their assumptions, approach complex problems with skepticism, and develop a more nuanced and informed perspective on the intricacies of human behavior and the world around us.<\/p>\n<cite>ChatGPT June 10, 2023<\/cite><\/blockquote>\n\n\n\n<p>Surprisingly, the book abstract is only 169 words, despite my prompt. In general, the word counts are not precise, and more often over than under (which is why I asked for 180, not 200).<\/p>\n\n\n\n<p>So, I have some editing to do, but I&#8217;d say ChatGPT saved me at least a few hours &#8212; and spared me from exactly the kind of writing I dislike the most.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As Probably Overthinking It approaches the finish line, there are just a few more tasks: I am working on the index and &#8212; as I have recently learned &#8212; I also have to write a 200-word abstract, a list of keywords for each chapter, and a 250-word abstract for the whole book. I have come to two conclusions: By converting each chapter to a simple text file (no figures and tables) I was able to get most of them under&#8230;<\/p>\n<p class=\"read-more\"><a class=\"btn btn-default\" href=\"https:\/\/www.allendowney.com\/blog\/2023\/06\/10\/abstracts-and-keywords\/\"> 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":[],"class_list":["post-956","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Abstracts and keywords - 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\/2023\/06\/10\/abstracts-and-keywords\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Abstracts and keywords - Probably Overthinking It\" \/>\n<meta property=\"og:description\" content=\"As Probably Overthinking It approaches the finish line, there are just a few more tasks: I am working on the index and &#8212; as I have recently learned &#8212; I also have to write a 200-word abstract, a list of keywords for each chapter, and a 250-word abstract for the whole book. 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If you missed it, the slides are here. When the video is available, I'll post it here. Abstract: Collision bias is the most treacherous error in statistics: it can be subtle, it is easy to induce it by\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1009,"url":"https:\/\/www.allendowney.com\/blog\/2023\/08\/27\/taming-black-swans\/","url_meta":{"origin":956,"position":1},"title":"Taming Black Swans","author":"AllenDowney","date":"August 27, 2023","format":false,"excerpt":"At SciPy 2023 I presented a talk called \"Taming Black Swans: Long-tailed distributions in the natural and engineered world\". Here's the abstract: Long-tailed distributions are common in natural and engineered systems; as a result, we encounter extreme values more often than we would expect from a short-tailed distribution. If we\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/-rE3DfeZ_jE\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":220,"url":"https:\/\/www.allendowney.com\/blog\/2019\/05\/16\/foundations-of-data-science\/","url_meta":{"origin":956,"position":2},"title":"Foundations of data science?","author":"AllenDowney","date":"May 16, 2019","format":false,"excerpt":"\"Foundation\" is one of several words I would like to ban from all discussion of higher education. \u00a0Others include \"liberal arts\", \"rigor\", and \"service class\", but I'll write about them another time. \u00a0Right now, \"foundation\" is on my mind because of a new book from Microsoft Research, Foundations of Data\u2026","rel":"","context":"In \"data science\"","block_context":{"text":"data science","link":"https:\/\/www.allendowney.com\/blog\/tag\/data-science\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1210,"url":"https:\/\/www.allendowney.com\/blog\/2024\/02\/01\/extremes-outliers-and-goats\/","url_meta":{"origin":956,"position":3},"title":"Extremes, outliers, and GOATS","author":"AllenDowney","date":"February 1, 2024","format":false,"excerpt":"The video from my PyData Global 2023 talk, Extremes, outliers, and GOATS, is available now: https:\/\/www.youtube.com\/watch?v=MhA5XWIWWys The slides are here. There are two Jupyter notebooks that contain the analysis I presented: Chapter 4 of Probably Overthinking It An exploration of Gaussian and lognormal models for anthropomorphic measurements Here's the abstract:\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/MhA5XWIWWys\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":1142,"url":"https:\/\/www.allendowney.com\/blog\/2023\/12\/06\/happy-launch-day\/","url_meta":{"origin":956,"position":4},"title":"Happy Launch Day!","author":"AllenDowney","date":"December 6, 2023","format":false,"excerpt":"Today is the official publication date of Probably Overthinking It! You can get a 30% discount if you order from the publisher and use the code UCPNEW. You can also order from Amazon or, if you want to support independent bookstores, from Bookshop.org. I celebrated launch day by giving a\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1357,"url":"https:\/\/www.allendowney.com\/blog\/2024\/08\/23\/probably-the-book\/","url_meta":{"origin":956,"position":5},"title":"Probably the Book","author":"AllenDowney","date":"August 23, 2024","format":false,"excerpt":"Last week I had the pleasure of presenting a keynote at posit::conf(2024). When the video is available, I will post it here [UPDATE here it is]. https:\/\/www.youtube.com\/watch?v=YKMZIzYBgTk In the meantime, you can read the slides, if you don't mind spoilers. For people at the conference who don't know me, this\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\/08\/are_you_normal_windshield_wiper.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.allendowney.com\/blog\/wp-content\/uploads\/2024\/08\/are_you_normal_windshield_wiper.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.allendowney.com\/blog\/wp-content\/uploads\/2024\/08\/are_you_normal_windshield_wiper.gif?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/www.allendowney.com\/blog\/wp-content\/uploads\/2024\/08\/are_you_normal_windshield_wiper.gif?resize=700%2C400&ssl=1 2x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/posts\/956","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=956"}],"version-history":[{"count":2,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/posts\/956\/revisions"}],"predecessor-version":[{"id":958,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/posts\/956\/revisions\/958"}],"wp:attachment":[{"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/media?parent=956"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/categories?post=956"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.allendowney.com\/blog\/wp-json\/wp\/v2\/tags?post=956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}