Podcasts about stephens davidowitz

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..

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...

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.

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.

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. 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How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy? In this groundbreaking work, Stephens-Davidowitz, a Harvard-trained economist and former Google data scientist, argues that much of what we thought about people has been dead wrong. The reason? People lie. Seth Stephens-Davidowitz is a New York Times op-ed contributor and former Google data scientist. He received a BA in philosophy from Stanford, where he graduated Phi Beta Kappa, and a PhD in economics from Harvard. His research—which uses new, big data sources to uncover hidden behaviors and attitudes—has appeared in prestigious publications such as The Journal of Public Economics. His first job in journalism was at his local newspaper, The Bergen Record, in high school, where he was an obituary writer. To learn more about Provocative Enlightenment Radio, go to http://www.provocativeenlightenment.com

How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy? In this groundbreaking work, Stephens-Davidowitz, a Harvard-trained economist and former Google data scientist, argues that much of what we thought about people has been dead wrong. The reason? People lie. Seth Stephens-Davidowitz is a New York Times op-ed contributor and former Google data scientist. He received a BA in philosophy from Stanford, where he graduated Phi Beta Kappa, and a PhD in economics from Harvard. His research—which uses new, big data sources to uncover hidden behaviors and attitudes—has appeared in prestigious publications such as The Journal of Public Economics. His first job in journalism was at his local newspaper, The Bergen Record, in high school, where he was an obituary writer. To learn more about Seth Stephens-Davidowitz and his work, visit www.sethsd.com

According to Seth Stephens-Davidowitz, everybody lies to preserve social relations. www.shutterstock.com, CC BYHow much do you really know about your friends? Your co-workers? Your community and your country? The fact is that much of what we think we know about the people around us is likely to be skewed, because people tend to lie. We lie in conversation, on social media, and in surveys. But there exists an online trove of data that allows us to paint a much more accurate picture of who we really are. That’s the argument of US data scientist Seth Stephens-Davidowitz, author of the book Everybody Lies and our guest on today’s episode of Speaking with. Stephens-Davidowitz says he uses data from the internet – what he calls “the traces of information that billions of people leave on Google, social media, dating, and even pornography sites” to tell us the surprising and sometimes disturbing truth about who we really are. Seth Stephens-Davidowitz spoke with David Tuffley, a senior lecturer in applied ethics and sociotechnical studies at Griffith University, to talk about what he learned. Edited by Dilpreet Kaur. Recorded by Michael Lund. Seth Stephens-Davidowitz is in Australia to speak at the Festival of Dangerous Ideas in Sydney on this Sunday, November 4. He was also a speaker at Griffith University’s Integrity 20’18 event on October 24-26. Subscribe to The Conversation’s Speaking with podcast on Apple Podcasts, or follow on Tunein Radio. You can find more podcast episodes from The Conversation here. Music Free Music Archive: Blue Dot Sessions - Wisteria

How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy? In this groundbreaking work, Stephens-Davidowitz, a Harvard-trained economist and former Google data scientist, argues that much of what we thought about people has been dead wrong. The reason? People lie. Seth Stephens-Davidowitz is a New York Times op-ed contributor and former Google data scientist. He received a BA in philosophy from Stanford, where he graduated Phi Beta Kappa, and a PhD in economics from Harvard. His research—which uses new, big data sources to uncover hidden behaviors and attitudes—has appeared in prestigious publications such as The Journal of Public Economics. His first job in journalism was at his local newspaper, The Bergen Record, in high school, where he was an obituary writer. To learn more about Provocative Enlightenment Radio, go to http://www.provocativeenlightenment.com

Have you ever lied on a survey or a social media post? Stephens-Davidowitz says that almost all of us do. He researched the data of big websites like Google and Facebook to discover that what people say or post about themselves often seems contradictory to what their internet searches reveal about their interests or beliefs.

This might be our most fun, real, edgest podcast yet. We have had a blast reading the book Everybody lies: Big data, new data, and what the Internet reveals about who we really are. In this podcast, we will talk about the little white lies people share and what they are searching. Lies we talk about include who is having the most sex, how many condoms are being used, digital truth serum, breast implants, depression and the most common searches about private parts, top addictions, most commonly searched words, social media, descriptions about their husbands, wealthy and poor people living longer, pregnancy and doppelgangers. Consider watching us on YouTube also and you can catch a third person crashing our party. Find out more at https://simplesoulat.wixsite.com/loveyoursimplesoul Here are some of the resources referenced: Stephens-Davidowitz, S. (2017). Everybody lies: Big data, new data, and what the Internet reveals about who we really are. Harper Collins.

This might be our most fun, real, edgest podcast yet. We have had a blast reading the book Everybody lies: Big data, new data, and what the Internet reveals about who we really are. In this podcast, we will talk about the little white lies people share and what they are searching. Lies we talk about include who is having the most sex, how many condoms are being used, digital truth serum, breast implants, depression and the most common searches about private parts, top addictions, most commonly searched words, social media, descriptions about their husbands, wealthy and poor people living longer, pregnancy and doppelgangers. Consider watching us on YouTube also and you can catch a third person crashing our party. Find out more at https://simplesoulat.wixsite.com/loveyoursimplesoul Here are some of the resources referenced: Stephens-Davidowitz, S. (2017). Everybody lies: Big data, new data, and what the Internet reveals about who we really are. Harper Collins.

This event was recorded live at The RSA on Tuesday 11th July 2017 Forget what you thought polls could tell you – our Google searches and other online behaviour reveal our true selves. Welcome to the biggest and most accurate dataset in human history. Harvard-trained economist and former Google data scientist, Seth Stephens-Davidowitz’s analysis of our digital footprint reveals that much of what we think we know about ourselves is simply wrong. The reason is simple – we all lie – to our doctors, in surveys, on social media, and even to ourselves; but less so, when sat in front of our keyboards searching for information online. This data exposes our deepest desires, hopes, fears and prejudices, and our conscious and unconscious decision-making, in a way that less than twenty years ago would have been unfathomable. Hailed as the heir to Freakonomics, Stephens-Davidowitz’s groundbreaking research will change the way you think about everything. Speakers: Seth Stephens-Davidowitz, Writer and Former Google Data Scientist Rowan Conway, Director of Innovation and Development, RSA Discover more about this event here: https://www.thersa.org/events/2017/07/everybody-lies

Today's theme: Big data In the near future every object on earth will be generating data including our homes our cars and even our bodies. All the data processing we did in the last two years is more than all the data processing we did in the last 3,000 years. Where does it end? Are we simply repeating the old Islamic problem of the wheat and the chessboard? And can big data not tell us if this has actually happened all before, or not? >>>The Conversationalist with Matt Stiles Data Journalist and LA Times Special Correspondent in Seoul “How would you define big data? How can we utilize such massive open data online?” & Eric Siegel Founder of Predictive Analytics World author of award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die “One of the columns on your website, quoting another data scientist Stephens-Davidowitz, says, “the things that people type into the Google search bar reveal far more about a person than any in-depth interviewer could ever dream of.” How powerful does this make Google, or Facebook, or other internet service providers?” >>>A Few Minutes with Amos I saw this guy playing what looked like an upside down dented bowl with a sign that said “Give me money to travel for free around the world” I found out that this is a new trend called “beg-packing” where people beg for money to fund their travel There's a lot of controversy around this as there are people doing this in less privileged countries where people actually need the money. Next week: “Super” woman