Data scientist and author Seth Stephens-Davidowitz shares how he wrote a book in 30 days with ChatGPT, emphasizing the speed and fun AI brought to his writing process. He discusses using AI for data analysis, creating complex charts, and brainstorming ideas. The episode explores the importance of asking the right questions in a world where AI can provide answers, and how AI is redefining creativity and artistry. Seth also demonstrates AI's ability to answer difficult questions quickly and efficiently, showcasing the power of ChatGPT in enhancing productivity and analytical abilities.

Seth Stephens-Davidowitz combs through mountains of information to find advice for everyday life. 

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 Seth argues that the way we make decisions is wrong, outdated, and based on methods or conventional wisdom that lead us astray from getting what we want.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 is a data scientist, economist and author.Imagine if you had access to millions of data points which tell you exactly what makes people happy, or makes people attracted to you, or what actually influences your child's outcomes in life, or the most reliable way to become rich. Well Seth did, and he wrote a book with all his findings in it.Expect to learn how you can conduct a survey to test different appearance styles to find out which is best for you, what personality traits result in the happiest relationships, which activities which make you most and least happy, the secret industries of people who become rich in America, how to hack luck using data and much more...Sponsors:Join the Modern Wisdom Community to connect with me & other listeners - https://modernwisdom.locals.com/Get 2 weeks free access to Wondrium by going to https://www.wondrium.com/modernwisdom (discount automatically applied)Get 15% discount on Upgraded Formulas Test Kit at https://upgradedformulas.com/ (use code: MW15)Get a Free Sample Pack of all LMNT Flavours at https://www.drinklmnt.com/modernwisdom (discount automatically applied)Extra Stuff:Buy Don't Trust Your Gut - https://amzn.to/3PkKXyUFollow Seth on Twitter - https://twitter.com/SethS_D Get my free Reading List of 100 books to read before you die → https://chriswillx.com/books/To support me on Patreon (thank you): https://www.patreon.com/modernwisdom-Get in touch.Instagram: https://www.instagram.com/chriswillxTwitter: https://www.twitter.com/chriswillxYouTube: https://www.youtube.com/modernwisdompodcastEmail: https://chriswillx.com/contact/  Learn more about your ad choices. Visit megaphone.fm/adchoices

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!

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.

Delving into the impact of height in NBA success, the podcast explores height vs. skill in basketball. It compares scoring records and height-adjusted performance, and discusses AI tools for data analysis and creativity.

Economist Seth Stephens-Davidowitz discusses using data and AI to analyze NBA analytics, including the concept of Muggsies and the impact of player height on performance. The podcast also explores the influence of height on college basketball success, examines clutch performance in the NBA, analyzes coaching effectiveness, and emphasizes team culture in basketball.