Podcasts about everybody lies big data

Former Google data scientist and bestselling author of Everybody Lies Seth Stephens-Davidowitz turns his analytic skills to the NBA. Shermer and Stephens-Davidowitz discuss: why some countries produce so many more NBA players than others • the greatest NBA players adjusted for height • why tall NBA players are worse athletes than short NBA players • How much do NBA coaches matter and what do they do? • In a population of 8 billion today compared to centuries past, where are all the Mozarts, Beethovens, Da Vincis, Newtons, Darwins, etc.? 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. He is the author of Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are and Don't Trust Your Gut: Using Data to Get What You Really Want in Life.

  For the first time ever, parents going through IVF can use whole genome sequencing to screen their embryos for hundreds of conditions. Harness the power of genetics to keep your family safe, with Orchid. Check them out at orchidhealth.com. Today, Razib talks to Seth Stephens-Davidowitz, author of Who Makes the NBA?: Data-Driven Answers to Basketball's Biggest Questions and Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. Stephens-Davidowitz, formerly of Google and The New York Times, is a freelance data scientist and author. He has a degree in philosophy from Stanford and a PhD in economics from Harvard. In this episode, he discusses his process of writing Who Makes the NBA?, which he crafted in a month using ChatGPT's code interpreter feature, and the biggest insights from his book. Razib probes Stephens-Davidowitz on the relationship between height and athletic ability, and why success in the NBA has the largest heritable component of any major league sport. They also discuss the finding that children of NBA players enjoy a non-genetic advantage in basketball, and why those who make it into the league and succeed are from higher socioeconomic strata. Stephens-Davidowitz also discusses why international basketball is popular in the former Yugoslavia and Lithuania, and how the popularity of volleyball in Iran and Brazil affects the pipeline of talent from those nations. The episode concludes with the author's detailed thoughts about what it was like to write a book assisted by AI, and the feasibility of this sort of content creation over the next decade. Razib and Stephens-Davidowitz discuss the possibility of massive productivity gains from AI over the next few years and the long-term feasibility of writing careers if AI keeps improving at the current rate. Finally, Stephens-Davidowitz lays out his plan to write his next few years' of books at a far faster clip, relying on AI assistance..

This episode's topics:  Is AI cheating? What is the impact on intellectual property? Learner assessment? Heck, even job replacement? These questions are both philosophical and pragmatic. What about the value of critical thinking... and does AI take that application away? We explore ways to use AI more effectively... but recognize we cannot even fathom some of the consequences, yet. In the spirit of Christmas and Santa Claus, is it ok to ever lie to your learners? What is the value of the "white lie?" What is fiction in the context of learning? Is it a lie? How do we use or adapt case studies? We discuss the more nuanced, ethical questions related to the truth in the context of learning. Joining Matt and Clark is Karl Kapp. Karl is a professor of instructional technology and the Director of the Institute for Interactive Technologies at Bloomsburg University. He is also the founder of the Learning and Development Mentor Academy where he offers tons of self-paced workshops and live sessions for seasoned L&D professionals. He also co-founded Enterprise Game Stack, a company that designs, develops and delivers online, digital card activities and games that keep participants focused, engaged, and collaborative, while reinforcing learning both in the moment and over time. You can find Karl on LinkedIn here: https://www.linkedin.com/in/karlkapp/ And on his website here: https://karlkapp.com Episode Notes: Matt refers to the book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz. https://www.amazon.com/Everybody-Lies-Internet-About-Really-ebook/dp/B01AFXZ2F4/ref=sr_1_1?crid=32XE7RFU8662&keywords=Everybody+lies&qid=1703693836&sprefix=everybody+lies%2Caps%2C98&sr=8-1  Karl refers to Damned Lies and Statistics by Joel Best. https://www.amazon.com/Damned-Lies-Statistics-Untangling-Politicians/dp/0520274709/ref=sr_1_1?crid=1NIS0ITNOKV1A&keywords=lies%2C+damned+lies%2C+and+statistics&qid=1703693953&sprefix=Lies%2C+damned+li%2Caps%2C92&sr=8-1  Clark refers to Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics by Allan Collins, John Seely Brown, and Susan E. Newman. https://psycnet.apa.org/record/1989-98135-013 Scott Page wrote The Model Thinker: What You Need To Know To Make Data Work For You. https://www.amazon.com/Model-Thinker-What-Need-Know-ebook/dp/B07B8D3V9V/ref=sr_1_1?crid=12ZCGDWY9C3GI&keywords=The+Model+Thinker&qid=1703694035&sprefix=the+model+thinker%2Caps%2C98&sr=8-1 And, Scott is from the University of Michigan.

Chapter 1 Understand the idea behind Everybody LiesEverybody Lies by Seth Stephens-Davidowitz is a book that explores the power of data in uncovering the truth about human behavior and society. The author, who is an economist and former data scientist at Google, highlights how people's online searches can reveal their true thoughts and desires, often contradicting what they say or admit in surveys or public settings.Stephens-Davidowitz argues that online data, particularly search engine queries, provide a unique and unfiltered glimpse into people's minds, allowing researchers to gain insights into various aspects of society, from race and sexuality to personal insecurities and political sentiments. The book delves into topics such as racism, sexual desires, mental health, and political polarization, using data analysis to challenge common assumptions and reveal hidden truths.Everybody Lies demonstrates how big data, when properly analyzed, can lead to a better understanding of human behavior and social dynamics. It sheds light on the biases and limitations of traditional survey-based research, emphasizing the importance of harnessing the power of online data to gain more accurate insights into society.Overall, the book explores the concept that people often lie, consciously or unconsciously, in various contexts and how data analysis can help uncover the hidden truths behind our actions and behaviors.Chapter 2 Is Everybody Lies Worth the Hype?"Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are" by Seth Stephens-Davidowitz is highly regarded and received positive reviews from readers and critics. The book explores how data collected from the internet can provide insights into human behavior and expose our secrets and true selves. It delves into topics such as online dating, race, politics, and economics. If you are interested in understanding how data from the internet can reveal hidden aspects of our society and human nature, then "Everybody Lies" may be a good book for you.Chapter 3 Overview of Everybody Lies"Everybody Lies" by Seth Stephens-Davidowitz is a book that explores the concept of big data and how it can be used to uncover hidden truths about human behavior and society. The author argues that in the age of the internet, people are more honest in their online search queries and digital footprints than they are in face-to-face interactions. By analyzing this data, Stephens-Davidowitz reveals fascinating insights into various topics such as politics, economics, sports, and sexuality.The book begins by discussing the power of Google search data and how it can provide a window into the deepest desires, fears, and prejudices of individuals. It highlights the discrepancy between what people publicly claim to believe and what their online behavior reveals, suggesting that online data offers a more accurate picture of human nature.Stephens-Davidowitz delves into various case studies throughout the book to illustrate his point. For example, he analyzes search trends during political campaigns to show how people's real concerns differ from the issues brought up by politicians. He also explores the relationship between online behavior and real-world outcomes, such as how online search data can predict certain health issues before they are officially diagnosed.The author also tackles controversial topics like racism and sexism, using big data to expose the prevalence of these attitudes despite public claims of progress. By studying online searches and social media data, Stephens-Davidowitz reveals that biases and...

Brought to you by Vanta—Automate compliance. Simplify security | Sidebar—Catalyze your career with a Personal Board of Directors | Merge—A single API to add hundreds of integrations into your app—Christopher Miller serves as the VP of Product for Growth and AI at HubSpot. Having spent the past seven years at HubSpot, Chris has been at the center of one of the biggest B2B growth stories in history—leading HubSpot's early growth strategy, their shift to PLG, and now their investment in AI. Beyond his role at HubSpot, he lends his expertise to founders advising them on PLG and their growth strategy broadly. In today's podcast, we discuss:• The principles of winning teams, careers, and companies• What customer obsession looks like in practice• How sneaking into a party led to a career opportunity• Advice for breaking into product management• How to find mentors• The top four skills for growth roles• Lessons from building HubSpot's famous PLG motion—Find the full transcript at: https://www.lennyspodcast.com/relentless-curiosity-radical-accountability-and-hubspots-winning-growth-formula-christopher-mil/#transcript—Where to find Chris Miller:• LinkedIn: https://www.linkedin.com/in/christopherwilliammiller/• Instagram: https://www.instagram.com/millsyjoeyoung/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• Twitter: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Chris's background(04:15) Chris's role at HubSpot leading Growth and AI teams(09:17) The story of how Chris crashed a party and pitched his idea around pricing and packaging(12:25) Relentless curiosity and other important traits to have as a PM(16:52) How Chris broke into product management and advice for others wanting to do the same(22:12) Helpful tips for learning the craft of product management(26:30) Why you should talk to customers, former customers, and potential customers(29:34) Mentors vs. sponsors, and advice for finding people who will help you grow(34:02) What makes HubSpot unique(36:07) Customer obsession in action(40:23) How staying in the mid-market space has benefited HubSpot(42:10) HubSpot's culture code(45:10) Fun rituals at HubSpot(47:36) Key elements that contributed to HubSpot's early growth(55:00) Fallacies of product-led companies and how HubSpot embraced PLG(1:00:48) Advice for companies wanting to become more product-led(1:04:35) Common mistakes to avoid when trying to start a PLG motion(1:07:53) How HubSpot structures growth loops(1:10:50) The importance of aggressive experimentation within new channels(1:16:11) How Covid accelerated growth at HubSpot(1:17:59) Lightning round—Referenced:• Kyle Poyar on LinkedIn: https://www.linkedin.com/in/kyle-poyar/• Mariah Muscato on LinkedIn: https://www.linkedin.com/in/mariahmuscato/• Ken Norton on Lenny's Podcast: https://www.lennyspodcast.com/how-to-unlock-your-product-leadership-skills-ken-norton-ex-google/• Fareed Mosavat on Lenny's Podcast: https://www.lennyspodcast.com/videos/how-to-build-trust-and-grow-as-a-product-leader-fareed-mosavat-reforge-slack-instacart-pixar/• Jules Walter on Lenny's Podcast: https://www.lennyspodcast.com/leveraging-mentors-to-uplevel-your-career-jules-walter-youtube-slack/• The Culture Code at HubSpot: https://blog.hubspot.com/blog/tabid/6307/bid/34234/the-hubspot-culture-code-creating-a-company-we-love.aspx• Brian Balfour on LinkedIn: https://www.linkedin.com/in/bbalfour/• Dharmesh on Twitter: https://twitter.com/dharmesh• ChatSpot: https://chatspot.ai/• Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are: https://www.amazon.com/Everybody-Lies-Internet-About-Really/dp/0062390856• Chop Wood Carry Water: How to Fall in Love with the Process of Becoming Great: https://www.amazon.com/Chop-Wood-Carry-Water-Becoming/dp/153698440X• The Score Takes Care of Itself: My Philosophy of Leadership: https://www.amazon.com/Score-Takes-Care-Itself-Philosophy/dp/1591843472/• I'm a Virgo on Amazon Prime: https://www.amazon.com/Im-A-Virgo-Season-1/dp/B0B8PXXV2M• Barry on HBO: https://www.hbo.com/barry• Succession on HBO: https://www.hbo.com/succession• Building a great product management organization: https://stripe.com/it-es/guides/atlas/building-a-great-pm-org• Garmin watch: https://www.amazon.com/Garmin-010-02174-01-Vivoactive-Smartwatch-Refurbished/dp/B0BPCNKBW1• Fernet: https://en.wikipedia.org/wiki/Fernet—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

Data scientist and best-selling author Seth Stephens-Davidowitz on "Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are." Original air date 10 May 2017. The book was published on 9 May 2017.

Josh Walker is the Co-Founder and President of Sports Innovation Lab where he oversees the company's innovative and proprietary market intelligence platform. Through market analysis and unbiased research, he empowers brands to develop and implement game changing, breakthrough experiences in a new age of sports and entertainment fandom. His work at Sports Innovation Lab represents the convergence of his career as a researcher, advisor, entrepreneur, and sports journalist. A former Vice President of Research at Forrester, Josh was responsible for launching the company's Forrester Wave evaluation framework, designed to accelerate innovation by connecting technology buyers with the best vendors. After Forrester, Josh spent time as Entrepreneur-in-Residence at General Catalyst advising fast-growing companies including Brightcove, Kayak, and Demandware. He soon became a serial entrepreneur himself, using his passion for technology and data to launch and grow several venture-backed companies such as CityVoter, Comlinkdata, and Stattleship. Josh is a graduate of Middlebury College and lives in Cambridge, Massachusetts. In the conversation Josh mentions the book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are, which can be found across book retailers.

What is the art and science behind a global music platform like Spotify nailing its algorithms to ensure that all users get the exact results that users want when using the search bar? On this week's podcast, Lily and Randy sat down with Jonny Brooks-Bartlett, Senior Machine Learning Engineer at Spotify, to discuss this process, and much, much more! Featured Links: Follow Jonny on LinkedIn and Twitter | Jonny on Medium | Seth Stephens-Davidowitz's book 'Everybody Lies: Big Data, New data, and What the Internet Can Tell Us About Who We Really Are' | Reinforcement Learning at GeeksforGeeks

今日は、これまで何回かに亘って話してきた店頭マーケティング、小売店舗内のマーケティングから少し離れて、人の音楽の好みが何歳ぐらいに固まるのかと、それをどのようにマーケティングに活用するのかということについて話します。何かお店の中でＢＧＭが流れたとして、みなさんは自分にとって聞いたことのある、馴染みのある曲を聴きたいですか。それとも、自分が知らなかった曲を聴きたいですか。 アメリカでストップアンドショップというスーパーマーケットがあります。この小売企業はお店の中で流すＢＧＭについて非常に綿密で詳細な調査を行っています。その企業の中のマーケティング担当者の話によれば、お客さんは買い物をしている最中というのは自分にとって新しい音楽ではなく自分にとって聴きなれた、馴染みのある音楽を聴きたがっているそうです。この調査結果を受けてスーパーマーケットはヒット曲と広告をミックスしたプレイリストを作って、お店で音楽を流す参考にしているようです。 お店にとって馴染みのある曲をどう見つけるかというのもまた問題です。みなさんにとって今でも聴くような馴染みのある曲、ある時代に流行ったようなポップス等が一番望ましいですが、どういった曲があるでしょうか。おそらく好きな曲や今でもよく聴く曲が思い出されるかと思いますが、そういった曲は、その多くが、みなさんがまだ学生だった時に聴いた曲ではないかと思います。じつは、人が一生聴き続けるような、特に流行曲は、その人がいつ頃その曲を聴いたのかということが非常に強く影響するということが分かっています。 Googleのデータサイエンティストを以前していて、ペンシルベニア大のウォートン・スクール、これはペンシルベニア大の有名なビジネススクールですが、そこでも教鞭を取ったことのあるセス・スティーブンスという人がいます。この人は、ＶＩＰデータを使って人の興味深い行動や特性について分析、調査をしています。この人が、2018年に発表した調査についてご紹介すると、ビルボードというアメリカで最も権威のある音楽チャートで、1960年代から2000年代のチャートと年齢別のどういった曲が好きかという選曲ランキング、そういったものを照らし合わせた結果、面白いことが分かりました。私たちの大半は、大人になった時、思春期の最も早い時期頃によく聞いていた音楽をまだ聴き続け、その傾向は一生にわたり続くようです。男性の場合、大体13歳から16歳(大体平均すると14歳ぐらいだったそうです)の間にリリースされた曲が、その人の一生を通じて最も好きな曲になるという傾向が見られたそうです。女性の場合は、男性より少し早く、大体11歳から14歳の時に聴いた音楽の影響が一番大きかったそうです。平均では13歳の時にリリースされた曲が、その女性が人生を通して最も好きな曲になる、そういった傾向があったそうです。 逆に、例えば20代前半など時に聴いた曲というのは、10代前半の思春期の時に聴いた曲の半分程度しかその人の音楽の好みに対して影響力が無かったそうです。 冒頭に話した、アメリカのスーパーのストップアンドショップの話ですが、このお店では午前、午後、夜間と時間帯によってお店の中で流す音楽のプレイリストを変えているそうですが、そのプレイリストというのはお客さんの年齢層によって変えていることが多いそうです。大体60年代、70年代、80年代、90年代、それぞれの年代のミックスをベースにして、それからそれぞれの時間帯で比較的多い年齢層に応じて曲の組み合わせとかアレンジをしていくそうです。 最後に一つ、今回ご紹介したセスという人、この人の色々な行動について調査している本で一冊、日本語訳が出ているんです。英語のタイトルが「Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are」という2017年に出た本ですが、日本語タイトルは「誰もが嘘をついている、ＶＩＰデータ分析が暴く人間のやばい本性」という本が翻訳で出ていますので是非ご覧になられると良いと思います。 今日のまとめです。今回は、人の音楽の好みは何歳ぐらいに形作られるのかということと、小売店舗屋のマーケティングの応用についてお話をさせて頂きました。人の音楽の好みは、その人の思春期の早い時期に形作られる傾向がありますので、お店で流すミュージックもそのお店がターゲットとする人の年齢層が思春期の時にどういった曲がヒットしたのかというのを調べれば、そのお店にとって最適なミュージックを選んで良い売り上げに繋げる事が出来きます。

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, Vox Guest: Seth Stephens-Davidowitz (@SethS_D), author References:  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/givepodcasts This 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

Welcome to episode #839 of Six Pixels of Separation. Here it is: Six Pixels of Separation - Episode #839- Host: Mitch Joel. Should you always trust the data? Should you always trust your gut? Is there science behind these choices? Seth Stephens-Davidowitz is a former Google data scientist turned writer and journalist. He spends his time investigating all types of data to help us answer big questions and make better decisions at work and in life. He's been called a data revolution “prophet” by Dan Pink, because of Seth's ability to teach us how our instincts lead us astray, but data can help us see the world more accurately, ask better questions, and get happier (according to him). His first book was, Everybody Lies - Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are, and his latest one is, Don't Trust Your Gut - Using Data to Get What You Really Want in Life. Seth is a contributing op-ed writer for The New York Times and a former visiting lecturer at The Wharton School, where he developed a course about his research. Seth has presented his original research scientific manuscripts, public journals, and engaging lectures all over the world. He holds a PhD in economics from Harvard and a BA in Philosophy from Stanford, where he graduated Phi Beta Kappa. Enjoy the conversation... Running time: 57:33. Hello from beautiful Montreal. Subscribe over at Apple Podcasts. Please visit and leave comments on the blog - Six Pixels of Separation. Feel free to connect to me directly on Facebook here: Mitch Joel on Facebook. or you can connect on LinkedIn. ...or on Twitter. Here is my conversation with Seth Stephens-Davidowitz. Don't Trust Your Gut - Using Data to Get What You Really Want in Life. Everybody Lies - Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. Follow Seth on Twitter. This week's music: David Usher 'St. Lawrence River'.

When making big decisions, people often go with what feels right - who we marry, where we live, what career we pursue. We base these decisions on our gut instinct. But what if our gut is biased, misinformed or quite simply wrong?  Economist, former Google scientist, New York Times bestselling author and friend of the show Seth Stephens-Davidowitz has mined through thousands of data sets to prove that we are, in fact, frequently making ill-informed decisions when we only trust our gut. And we are delighted to be talking to Seth again about his fantastic new book, Don't Trust Your Gut: Using Data to Get What You Really Want in Life. From the data, Seth has uncovered what activities make us most happy, which isn't always the most comfortable activity. “If you're on the fence, between walking with friends, and lying on the couch watching Netflix…go on that walk…it's been proven, beyond a shadow of a doubt that that's the more likely path to happiness.”  But surprisingly there is one aspect of life that data cannot give us answers on. Listen to Seth's entertaining interview to find out when exactly we should and shouldn't trust our gut. At Behavioral Grooves, the data tells us that our listeners are loving our recent episodes! Thank you to everyone who has recently left us a podcast review. We read each and every one of them! Some of our dedicated Behavioral Grooves, donate to our work through Patreon page. Please consider supporting our work in this way, many thanks.   Topics (2:58) Welcome and speed round questions. (10:04) Should we really not trust our gut? (16:09) Relationships are as unpredictable as the weather forecast. (20:16) Big data doesn't apply to everything. (22:51) Is skepticism underrated?  (24:51) What is mappiness? (27:48) Does supporting a winning team make you more happy? (29:28) The #1 happy activity. (32:29) Mistaking a comfortable activity for an enjoyable activity. (37:28) What is dataism? (44:20) The data behind hustling.  (46:54) Would Bob Dylan and Leonard Cohen make it today? (52:37) Grooving Session with Kurt and Tim on trusting your gut.   © 2022 Behavioral Grooves   Links Seth's book: “Don't Trust Your Gut: Using Data to Get What You Really Want in Life”: https://amzn.to/3yICKwT  Episode 246, Seth Stephens-Davidowitz: Are You More Honest with Google or Your Friends? https://behavioralgrooves.com/episode/are-you-more-honest-with-google/  Alexander Todorov, “Face Value: The Irresistible Influence of First Impressions”: https://amzn.to/3Pi59kp  Episode 211, AJ Jacobs: A Thousand Thanks: A Lifetime of Experiments and Gratitude: https://behavioralgrooves.com/episode/a-thousand-thanks-with-aj-jacobs/  Seth's previous book: “Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are”: https://amzn.to/32ULlgD Episode 222, Shankar Vedantam “How Delusions Can Actually Be Useful: Shankar Vedantam Reveals How“: https://behavioralgrooves.com/episode/shankar-vedantam-useful-delusions/  Mappiness: http://www.mappiness.org.uk/  Krishnamurti T, Loewenstein G. The partner-specific sexual liking and sexual wanting scale: psychometric properties. Arch Sex Behav. 2012 Apr;41(2): https://pubmed.ncbi.nlm.nih.gov/21720917/  Episode 287, Nick Epley, Why Talking To Strangers Is Actually Good For Your Wellbeing: https://behavioralgrooves.com/episode/talking-to-strangers/  Episode 274: Paul Bloom, Why Finding Pleasure in Life is a Painful Journey: https://behavioralgrooves.com/episode/pleasure-is-a-painful-journey/  Episode 205: Logan Ury, The Myth of the “Relationship Spark”: https://behavioralgrooves.com/episode/relationship-spark-logan-ury/  1000 True Fans, Kevin Kelly: https://kk.org/thetechnium/1000-true-fans/    Musical Links Rick Springfield “Jesse's Girl”: https://www.youtube.com/watch?v=qYkbTyHXwbs  Bruce Springsteen “Glory Days': https://www.youtube.com/watch?v=WccS8iFXgFI  Bob Dylan “The Times Are A-Changin'”: https://www.youtube.com/watch?v=90WD_ats6eE 23refvc  Leonard Cohen “Hallelujah”: https://www.youtube.com/watch?v=YrLk4vdY28Q  Metallica “Nothing Else Matters”: https://www.youtube.com/watch?v=tAGnKpE4NCI  Luther Ingram "(If Loving You Is Wrong) I Don't Want to Be Right": https://www.youtube.com/watch?v=FvJj7SN9EWI 

In a bonus episode of the GRID, Jennifer brings in her friend, best-selling author Seth Stephens-Davidowitz to talk about his new book, “Don't Trust Your Gut: Using Data To get What You Really Want in Life.”. Seth is also the author of “Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us... The post The Grid 067.5 Bonus Episode ft. Seth Stephens-Davidowitz appeared first on The Poker Grid.

Seth Stephens-Davidowitz is a data scientist, author, and keynote speaker. He holds a PhD in economics from Harvard and is a contributing op-ed writer for the New York Times. He joins the podcast to talk about his two books, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (2017) and Don't Trust Your Gut: Using Data to Get What You Really Want in Life (2022). He and Richard discuss the behavioral genetics of sports, whether we pay too much attention to hate crimes, physiognomy as a science, the limits of evolutionary psychology in explaining porn preferences, and how to apply insights from big data and social science to improve our dating lives, careers, and overall happiness.

On 'current history', or what might be going on out there. Subscribe at: paid.retraice.com Details: what's GOOT; current history; hypotheses [and some predictions]; What's next? Complete notes and video at: https://www.retraice.com/segments/re17 Air date: Monday, 7th Mar. 2022, 4 : 20 PM Eastern/US. 0:00:00 what's GOOT; 0:01:35 current history; 0:04:30 hypotheses [and some predictions]; 0:13:38 What's next? References: Allison, G. (2018). Destined for War: Can America and China Escape Thucydides's Trap? Mariner Books. ISBN: 978-1328915382. Searches: https://www.amazon.com/s?k=9781328915382 https://www.google.com/search?q=isbn+9781328915382 https://lccn.loc.gov/2017005351 Andrew, C. (2018). The Secret World: A History of Intelligence. Yale University Press. ISBN in paperback edition printed as "978-0-300-23844-0 (hardcover : alk. paper)". 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ISBN: 978-0593137789. Searches: https://www.amazon.com/s?k=978-0593137789 https://www.google.com/search?q=isbn+978-0593137789 https://lccn.loc.gov/2021040090 Walter, C. (2020). Immortality, Inc.: Renegade Science, Silicon Valley Billions, and the Quest to Live Forever. National Geographic. ISBN: 978-1426219801. Searches: https://www.amazon.com/s?k=9781426219801 https://www.google.com/search?q=isbn+9781426219801 https://catalog.loc.gov/vwebv/search?searchArg=9781426219801 Zubrin, R. (1996). The Case for Mars: The Plan to Settle the Red Planet and Why We Must. Free Press. First published in 1996. This 25th anniv. edition 2021. ISBN: 978-0684827575. Searches: https://www.amazon.com/s?k=978-0684827575 https://www.google.com/search?q=isbn+978-0684827575 https://lccn.loc.gov/2011005417 Zubrin, R. (2019). The Case for Space: How the Revolution in Spaceflight Opens Up a Future of Limitless Possibility. Prometheus Books. ISBN: 978-1633885349. Searches: https://www.amazon.com/s?k=978-1633885349 https://www.google.com/search?q=isbn+978-1633885349 https://lccn.loc.gov/2018061068 Copyright: 2022 Retraice, Inc. https://retraice.com

Do you know one of the most google searches in India is a man trying to get his wife to breastfeed him!? I was surprised too!Have you ever wondered what are the most searches on Google? What are the most ridiculous searches on Google? And Google probably has more data on you than any agencies out there!In this episode, I have Seth Stephens-Davidowitz, American data scientist, economist, and author, to talk about his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are.We also breakdown what were the most google searches, how do people use the "secret" data to improve their business and/or their life!My new book Skip The Line is out! Make sure you get a copy wherever you get your new book!Join You Should Run For President 2.0 Facebook Group, and we discuss why should run for president.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltucher.com/podcast.Thanks so much for listening! If you like this episode, please subscribe to "The James Altucher Show" and rate and review wherever you get your podcasts:Apple PodcastsStitcheriHeart RadioSpotify Follow me on Social Media:YouTubeTwitterFacebook ------------What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book, Skip the Line, is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltuchershow.com------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe to "The James Altucher Show" wherever you get your podcasts: Apple PodcastsiHeart RadioSpotifyFollow me on social media:YouTubeTwitterFacebookLinkedIn

Do you know one of the most google searches in India is a man trying to get his wife to breastfeed him!? I was surprised too!Have you ever wondered what are the most searches on Google? What are the most ridiculous searches on Google? And Google probably has more data on you than any agencies out there!In this episode, I have Seth Stephens-Davidowitz, American data scientist, economist, and author, to talk about his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are.We also breakdown what were the most google searches, how do people use the "secret" data to improve their business and/or their life!My new book Skip The Line is out! Make sure you get a copy wherever you get your new book!Join You Should Run For President 2.0 Facebook Group, and we discuss why should run for president.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltucher.com/podcast.Thanks so much for listening! If you like this episode, please subscribe to “The James Altucher Show” and rate and review wherever you get your podcasts:Apple PodcastsStitcheriHeart RadioSpotify Follow me on Social Media:YouTubeTwitterFacebook

This month we are reviewing the book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz. In order to truly understand people, their problems, and ultimately our society, we have to use qualitative and quantitative data effectively. We have to cut through the noise and the lies we tell ourselves and each other, and get to the truth.  Book: Everybody LiesDon't forget to subscribe at productthinking.ccWeekly newsletter: Everybody Lies: Book ReviewOr just want to leave a tip: buy me a coffee? ★ Support this podcast ★

In episode 362, we welcome our guest, Seth Stephens-Davidowitz, data scientist and author of Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are, which was a New York Times bestseller and an Economist Book of the Year. In today's episode, we're focused on what we can learn from alternative data. We start with Seth's first book and how mining google search data taught him things about racism, abortion, and yes, even some of our sexual preferences. Then we turn to his upcoming book titled Don't Trust Your Gut: Using Data to Get What You Really Want in Life and hear what the data says about how to live a better life. Seth walks us through the takeaways for finding a spouse, living healthier, and being happier. If you're a data geek like myself, you'll definitely want to listen to this. Please enjoy this episode with data-scientist and best-selling author Seth Stephens-Davidowitz. ----- Follow Meb on Twitter, LinkedIn and YouTube For detailed show notes, click here To learn more about our funds and follow us, subscribe to our mailing list or visit us at cambriainvestments.com ----- Today's episode is sponsored by Public.com. Public.com is an investing platform that helps people become better investors. On Public, ownership unlocks an experience of content and education, contextual to your portfolio, created by a million+ strong community of investors, creators and analysts. Public puts investors first, and doesn't sell your trades to market makers or take money from Payment for Order Flow. Start investing with as little as $1 and get a free slice of stock up to $50 when you sign up today at public.com/faber.

Economist, data journalist, and best-selling author Seth Stephens-Davidowitz uses data from the internet to gain new insights into the human psyche. In his new book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (HarperCollins, 2017), Seth has used Google searches to measure racism, self-induced abortion, depression, child abuse, hateful mobs, the science of humor, sexual preference, anxiety, son preference, and sexual insecurity, among many other topics. In this interview he explains how web searches are a kind of digital truth serum that reveals our hidden desires, insecurities and biases. He also explores other ways economists have used the explosion of new data created by the digitization of the economy to shed new light on old questions. Peter Lorentzen is an Associate Professor in the Department of Economics at the University of San Francisco, where he created and leads a new digital economy-focused Master's program in Applied Economics. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/anthropology

Economist, data journalist, and best-selling author Seth Stephens-Davidowitz uses data from the internet to gain new insights into the human psyche. In his new book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (HarperCollins, 2017), Seth has used Google searches to measure racism, self-induced abortion, depression, child abuse, hateful mobs, the science of humor, sexual preference, anxiety, son preference, and sexual insecurity, among many other topics. In this interview he explains how web searches are a kind of digital truth serum that reveals our hidden desires, insecurities and biases. He also explores other ways economists have used the explosion of new data created by the digitization of the economy to shed new light on old questions. Peter Lorentzen is an Associate Professor in the Department of Economics at the University of San Francisco, where he created and leads a new digital economy-focused Master's program in Applied Economics. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/economics

Economist, data journalist, and best-selling author Seth Stephens-Davidowitz uses data from the internet to gain new insights into the human psyche. In his new book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (HarperCollins, 2017), Seth has used Google searches to measure racism, self-induced abortion, depression, child abuse, hateful mobs, the science of humor, sexual preference, anxiety, son preference, and sexual insecurity, among many other topics. In this interview he explains how web searches are a kind of digital truth serum that reveals our hidden desires, insecurities and biases. He also explores other ways economists have used the explosion of new data created by the digitization of the economy to shed new light on old questions. Peter Lorentzen is an Associate Professor in the Department of Economics at the University of San Francisco, where he created and leads a new digital economy-focused Master's program in Applied Economics. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Economist, data journalist, and best-selling author Seth Stephens-Davidowitz uses data from the internet to gain new insights into the human psyche. In his new book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (HarperCollins, 2017), Seth has used Google searches to measure racism, self-induced abortion, depression, child abuse, hateful mobs, the science of humor, sexual preference, anxiety, son preference, and sexual insecurity, among many other topics. In this interview he explains how web searches are a kind of digital truth serum that reveals our hidden desires, insecurities and biases. He also explores other ways economists have used the explosion of new data created by the digitization of the economy to shed new light on old questions. Peter Lorentzen is an Associate Professor in the Department of Economics at the University of San Francisco, where he created and leads a new digital economy-focused Master's program in Applied Economics. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/psychology

Economist, data journalist, and best-selling author Seth Stephens-Davidowitz uses data from the internet to gain new insights into the human psyche. In his new book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (HarperCollins, 2017), Seth has used Google searches to measure racism, self-induced abortion, depression, child abuse, hateful mobs, the science of humor, sexual preference, anxiety, son preference, and sexual insecurity, among many other topics. In this interview he explains how web searches are a kind of digital truth serum that reveals our hidden desires, insecurities and biases. He also explores other ways economists have used the explosion of new data created by the digitization of the economy to shed new light on old questions. Peter Lorentzen is an Associate Professor in the Department of Economics at the University of San Francisco, where he created and leads a new digital economy-focused Master's program in Applied Economics. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Today's episode features Seth Stephens-Davidowitz, author of the book Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who we Really Are. Discussion topics include research on NBA demographics, horse racing, Google search data and Coronavirus, and validating Google analytics. localmaxradio.com/123

Links for Today 0:03:07 Kathy, Ryan, and Dimitri discuss "Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are" by Seth Stephens-Davidowitz 0:03:32 Check out the Ted Talk: "The Secrets in Our Google Searches" with Seth Stephens-Davidowitz 0:15:32 Check out the Convergence Conference (CHATT Con) hosted annually in Seattle 0:15:32 For some extra reading on AI and Psychotherapy check out Luis de Mello and Alves de Souza's (2019) theoretical piece "Psychotherapy and Artificial Intelligence: A Proposal for Alignment" 0:19:57 Topic Change: The importance of our privacy vs. our free access to social media 0:27:02 Check out Marques Brownlee on Youtube 0:29:22 Topic Change: Could big data lead to the extinction of behavior analysts? 0:29:57 Check out Koenig's (1971) summary of Ogden Lindsley's Behavior Bank - "The Behavior Bank: A System for Sharing Precise Information" 0:30:12 Mentioned: Skinner's article in Time Magazine (1971) - "We Can't Afford Freedom" 0:31:12 Check out OpenAI.com 0:32:12 Check out the Daily BA's video on Neuralink 0:41:02 Check out AnswersNow 0:43:07 Topic Change: Can we, and do we want to stop technology advancements like AI? 0:46:12 Check out Shane Dawson and his video "The Return of Eugenia Cooney" 0:48:12 Check out Microsoft's $1B investment into open AI 0:54:07 Topic Change: Should advancements in this technology affect policy change? 0:56:27 Check out the Society for Human Resource Management (SHRM) survey results 1:07:57 Topic Change: Group privacy vs. Individual privacy 1:09:07 For some extra reading on Facebook studies and informed consent check out Flick's (2016) article "Informed consent and the Facebook emotional manipulation study" --- Send in a voice message: https://anchor.fm/thecontroversialexchange/message

We're living in a time of secrets. Whether it's the health-care bill, Russia's secret connection with our recent election, or the lies we all tell, secrets plague all of us. Seth Stephens-Davidowitz, author of “Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are” explains what the Internet can tell us about the prejudices, fears, and fetishes we're hiding. We talk with our Lifehacker writers about a Reddit thread where Redditors shared secrets that, if revealed, would ruin people's lives. Psychiatrist Eileen Wachter visits the studio to discuss the psychological effects of keeping secrets. And our producer takes to the streets to find out what sort of secrets we've been keeping for other people.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today Jeff talks with integral psychotherapist Dr. Keith Witt about the arising of big data and its effect on our individual and collective psyches. They share their insights on the fascinating new book, Everybody Lies: Big Data, New Data and What the Internet Can Tell Us About Who We Really Are. Keith and Jeff discuss: How technology (LR quadrant) and culture (LL quadrant) power evolve in tandem How we deceive ourselves and each other about about sex and self-image – and how we get real How transparency normalizes previously marginalized behavior, in a good way (as Dr. Keith says, “The standard of, ‘Would I do this act if everyone was watching?' adds a whole new dimension to moral development.”). How to bring discriminating wisdom to today's world of fake (and true) news

This week Cut The Crap Podcast features a break down of the New York Times and Amazon Best Seller, "Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are," by Seth Stephens-Davidowitz. Together Seth and I discuss the five most powerful golden nuggets that we want you to take away from his book! ---------- Rate and review the show. Take a screen capture of your review. Send it to Ryan.Caligiuri@me.com and get entered into a draw every quarter for a prize over $1,000. Enter once and you're entered in the draw forever! ----------- Follow Ryan on Facebook, Twitter, Instagram, LinkedIn, and SnapChat.    See acast.com/privacy for privacy and opt-out information.

A man is just about to end his Grindr relationship with a dude whose girlfriend knows nothing of his exploits. Should he drop the info on this poor girl before he leaves town? Dan interviews Seth Davidowitz, author of "Everybody Lies: Big Data, New Data and What the Internet Can Tell Us About Who We Really Are." Basically, when you look at Google searches, people are just as nasty as can be. On the Magnum, Dan chats with Viro, co-host of the furry relationship advice podcast "Feral Attraction" on furries, bestiality and fetish mis-matches. Also, what is the best way to ask the check-out girl at the CVS if she'll be your unicorn in a three-way? 206-302-2064 This episode of the Savage Lovecast is brought to you by : luxury, affordable fair trade certified sheets. Get $50 off a set of sheets plus free shipping by going to  and enter Savage.   Today's episode of the Lovecast is brought to you by - fashionable men's clothing curated and sent right to your door. Get 50% off your first package at when you use the offer code Savage.   This episode of the Savage Lovecast is brought to you by Thrive Market, the new convenient way to get the highest quality, natural, organic groceries delivered to your door. Try it for FREE for 30 days and get an extra 20% off at

A man is just about to end his Grindr relationship with a dude whose girlfriend knows nothing of his exploits. Should he drop the info on this poor girl before he leaves town? Dan interviews Seth Davidowitz, author of "Everybody Lies: Big Data, New Data and What the Internet Can Tell Us About Who We Really Are." Basically, when you look at Google searches, people are just as nasty as can be. On the Magnum, Dan chats with Viro, co-host of the furry relationship advice podcast "Feral Attraction" on furries, bestiality and fetish mis-matches. Also, what is the best way to ask the check-out girl at the CVS if she'll be your unicorn in a three-way? 206-302-2064 This episode of the Savage Lovecast is brought to you by : luxury, affordable fair trade certified sheets. Get $50 off a set of sheets plus free shipping by going to  and enter Savage.   Today's episode of the Lovecast is brought to you by - fashionable men's clothing curated and sent right to your door. Get 50% off your first package at when you use the offer code Savage.   This episode of the Savage Lovecast is brought to you by Thrive Market, the new convenient way to get the highest quality, natural, organic groceries delivered to your door. Try it for FREE for 30 days and get an extra 20% off at

We're living in a time of secrets. Whether it's the health-care bill, Russia's secret connection with our recent election, or the lies we all tell, secrets plague all of us. Seth Stephens-Davidowitz, author of “Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are” explains what the Internet can tell us about the prejudices, fears, and fetishes we're hiding. We talk with our Lifehacker writers about a Reddit thread where Redditors shared secrets that, if revealed, would ruin people's lives. Psychiatrist Eileen Wachter visits the studio to discuss the psychological effects of keeping secrets. And our producer takes to the streets to find out what sort of secrets we've been keeping for other people. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

EVERYBODY LIES: BIG DATA, NEW DATA AND WHAT THE INTERNET REVEALS ABOUT WHO WE REALLY ARE by Seth Stephens Davidowitz, sheds light on the personal info we leave on the web.