Seth Stephens-Davidowitz, a data scientist and author known for "Everybody Lies," shares his journey of writing a book in just 30 days using ChatGPT. He reveals how AI not only accelerated the writing process but also made it more enjoyable. Topics include leveraging AI for data analysis, the evolving role of creativity, and how asking the right questions is crucial in the age of AI. Plus, Seth demonstrates AI live by analyzing Olympic athlete data to discover their ideal sport. It's a fascinating look at AI's potential in writing and beyond!

Seth Stephens-Davidowitz, a data scientist and economist, reveals fascinating insights about the NBA using advanced AI techniques. He discusses the impact of height on player success, noting that seven-footers have remarkable chances to make the league. Seth also explores how genetics, socio-economic factors, and early exposure to basketball shape talent. He delves into the basketball draft system, critiquing how flashy traits often overshadow essential skills in evaluations. Discover the intriguing interplay of self-belief and performance metrics, transforming our understanding of the game!

Seth Stephens-Davidowitz, a data scientist and author of "Everybody Lies," explores how data can transform personal lives. He delves into how self-image can improve through data analysis, illustrating the surprising impact of appearance on success and entrepreneurship. The discussion also uncovers the link between abortion legalization and crime rates, and how data reveals complex happiness factors. Listeners learn how luck and preparation interplay in achieving success, making for a fascinating dive into the power of data in everyday life.

Seth Stephens-Davidowitz, a data scientist and bestselling author, uses data to challenge our understanding of the NBA. He delves into why many players share the name Chris and the impact of height on NBA opportunities. The conversation touches on the potential for a Moneyball moment in basketball and critiques the glamorization of the rags-to-riches narrative. Additionally, he discusses how tools like Code Interpreter revolutionized his writing process, allowing him to complete his latest book in just 30 days!

Seth Stephens-Davidowitz, a data scientist, shares counterintuitive insights about the narratives around becoming and staying rich. Topics include the businesses that quietly make people millionaires, unconventional successes and reliable paths, dangerous decision making, managing remote employees with JustWorks, the role of randomness and storytelling in the art world, the key to happiness, and three key takeaways.

Sean Illing talks with former Google data scientist Seth Stephens-Davidowitz, author of Don't Trust Your Gut. Seth argues that the way we make decisions is wrong, outdated, and based on methods or conventional wisdom that lead us astray from getting what we want. Sean and Seth discuss the idea of using data in place of our own intuition and reason to help us through things like online dating, picking a place to live, and being a better parent. Plus, how can we trust "experience sampling" studies that rely on self-reporting, when — after all — everybody lies?Host: Sean Illing (@seanilling), Interviews Writer, VoxGuest: Seth Stephens-Davidowitz (@SethS_D), authorReferences:  Don't Trust Your Gut: Using Data to Get What You Really Want in Life by Seth Stephens-Davidowitz (Dey Street; 2022) Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz (Dey Street; 2018) Moneyball (dir. Bennett Miller, 2011); based on the book Moneyball: The Art of Winning an Unfair Game by Michael Lewis (W.W. Norton; 2004) "Capitalists in the Twenty-First Century" by Matthew Smith et al. (Quarterly Journal of Economics v. 134 (4); 2019) The Mappiness Project, created by George MacKerron and Susanna Mourato "Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies" by Samantha Joel et al. (PNAS v. 117 (32); 2020) "Are You Happy While You Work?" by Alex Bryson and George MacKerron (The Economic Journal v. 127 (599); Feb. 2017) "Experienced well-being rises with income, even above $75,000 per year" by Matthew Killingsworth (PNAS v. 118 (4); 2021) "The Amount and Source of Millionaires' Wealth (Moderately) Predicts Their Happiness" by Grand Edward Donnelly et al. (Personality and Social Psychology Bulletin v. 44 (5); May 2018) “When Choice Is Demotivating: Can One Desire Too Much of a Good Thing?” by Sheena S. Iyengar and Mark R. Lepper (J. of Personality and Social Psychology, 79(6); 2000) "The Effects of Exposure to Better Neighborhoods on Children: New EvidenceFfrom the Moving to Opportunity Project" by Raj Chetty et al. (American Economic Review v. 106 (4); 2016) "Education Doesn't Work" by Freddie deBoer (Substack; Apr. 12, 2021) "Predicting political elections from rapid and unreflective face judgments" by Charles C. Ballew and Alexander Todorov (PNAS v. 104 (46); 2007) Dataclysm: Love, Sex, Race, and Identity — What Our Online Lives Tell Us About Our Offline Selves by Christian Rudder (Crown; 2015)  Enjoyed this episode? Rate Vox Conversations ⭐⭐⭐⭐⭐ and leave a review on Apple Podcasts.Subscribe for free. Be the first to hear the next episode of Vox Conversations by subscribing in your favorite podcast app.Support Vox Conversations by making a financial contribution to Vox! bit.ly/givepodcastsThis episode was made by:  Producer: Erikk Geannikis Editor: Amy Drozdowska Engineer: Patrick Boyd Deputy Editorial Director, Vox Talk: Amber Hall Learn more about your ad choices. Visit podcastchoices.com/adchoices

Seth Stephens-Davidowitz, an economist and former Google data scientist, discusses how data can inform our biggest life decisions, challenging the notion of relying solely on gut feelings. Tristan Gooley, a weather expert, delves into the fascinating world of natural signs and weather patterns, teaching listeners how to read clouds and understand dew formation. Together, they reveal surprising insights, from the hidden dangers of high heels to the best ways to navigate life’s uncertainties, blending data literacy with a deeper appreciation for the natural world.

Seth Stephens-Davidowitz, a data scientist and author of "Don't Trust Your Gut," dives into patterns revealed by extensive data analysis. He critiques traditional self-help with evidence-backed advice on happiness, emphasizing that genuine experiences matter more than wealth. Seth discusses how data shapes perceptions of beauty and attractiveness, urging authenticity in dating. He also uncovers myths in entrepreneurship, highlighting experience over youth, and stresses the importance of practice and environment for success. Tune in for insights that could transform your life!

In this episode, Razib interviews Seth Stephens-Davidowitz, author of 'Who Makes the NBA?'. They discuss the relationship between height and athletic ability, the non-genetic advantage of children of NBA players, and the popularity of international basketball in certain regions. They also explore the use of genetic testing in guiding athletic development and the power of AI in data analysis.

Most people rely on their gut instinct to decide how to date, who to marry, where to live, what career path to take, how to find happiness, but what if our gut is wrong? Biased, unpredictable, and misinformed, our gut, it turns out, is not all that reliable. Data from hundreds of thousands of dating profiles have revealed surprising successful strategies to get a date; data from hundreds of millions of tax records have uncovered the best places to raise children; data from millions of career trajectories have found previously unknown reasons why some rise to the top. Hard facts and figures consistently contradict our instincts and demonstrate self-help that actually works — whether it involves the best time in life to start a business or how happy it actually makes us to skip a friend’s birthday party for a night of Netflix on the couch. From the boring careers that produce the most wealth, to the old-school, data-backed relationship advice so well-worn it’s become a literal joke, Stephens-Davidowitz unearths the startling conclusions that the right data can teach us about who we are and what will make our lives better. Seth Stephens-Davidowitz is a contributing op-ed writer for the New York Times, a lecturer at The Wharton School, and a former Google data scientist. He received a BA from Stanford and a PhD from Harvard. His research has appeared in the Journal of Public Economics and other prestigious publications. His previous book, Everybody Lies, was a New York Times bestseller and an Economist Book of the Year. He lives in Brooklyn and is a passionate fan of the Mets, Knicks, Jets, and Leonard Cohen.