
402 episodes

Planet Money Planet Money
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- Business
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4.6 • 28.7K Ratings
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Wanna see a trick? Give us any topic and we can tie it back to the economy. At Planet Money, we explore the forces that shape our lives and bring you along for the ride. Don't just understand the economy – understand the world.Wanna go deeper? Subscribe to Planet Money+ and get sponsor-free episodes of Planet Money, The Indicator, and Planet Money Summer School. Plus access to bonus content. It's a new way to support the show you love. Learn more at plus.npr.org/planetmoney
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The 'principles' of one of the world's biggest hedge funds (PM+)
Ray Dalio founded Bridgewater Associates, one of the world's largest hedge funds. He says crucial to the company's success are a set of principles he developed over decades and a workplace culture of "radical transparency." In a new book, New York Times finance reporter Rob Copeland delves into the inner workings of Bridgewater. He argues, among other things, the principles in reality have very little to do with how the company invests its money. In this bonus episode, Mary Childs talks with Copeland, author of "The Fund: Ray Dalio, Bridgewater Associates, and the Unraveling of a Wall Street Legend."Show your support for Planet Money and the reporting we do by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org. You'll be able to unlock this episode and other great bonus content! Email the show at planetmoney@npr.org.
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A very Planet Money Thanksgiving
Here at Planet Money, Thanksgiving is not just a time to feast on turkey, stuffing, mashed potatoes, green bean casseroles and pie(s). It's also a time to feast on economics. Today, we host a very Planet Money Thanksgiving feast, and solve a few economic questions along the way.First: a turkey mystery. Around the holidays, demand for turkey at grocery stores goes up by as much as 750%. And when turkey demand is so high, you might think that the price of turkey would also go up. But data shows, the price of whole turkeys actually falls around the holidays; it goes down by around 20%. So what's going on? The answer has to do what might be special about supply and demand around the holidays. We also reveal what is counted (and not counted) in the ways we measure the economy. And we look to economics to help solve the perennial Thanksgiving dilemma: Where should each dinner guest sit? Who should sit next to whom? This episode was hosted by Erika Beras and Jeff Guo. It was produced by James Sneed with an assist from Emma Peaslee and edited by Jess Jiang. It was fact-checked by Sierra Juarez and engineered by Josh Newell. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.Always free at these links: Apple Podcasts, Spotify, Google Podcasts, the NPR app or anywhere you get podcasts.Find more Planet Money: Facebook / Instagram / TikTok / Our weekly Newsletter.
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Economic fact in literary fiction
Some of the most influential and beloved novels of the last few years have been about money, finance, and the global economy. Some overtly so, others more subtly. It got to the point where we just had to call up the authors to find out more: What brought them into this world? What did they learn? How were they thinking about economics when they wrote these beautiful books? Today on the show: we get to the bottom of it. We talk to three bestselling contemporary novelists — Min Jin Lee (Pachinko and Free Food for Millionaires), Emily St. John Mandel (Station Eleven, The Glass Hotel and Sea of Tranquility), and Hernan Diaz (Trust, In the Distance) – about how the hidden forces of economics and money have shaped their works.This episode was hosted by Mary Childs and Alexi Horowitz-Ghazi. It was produced by Willa Rubin, edited by Molly Messick, and engineered by Neisha Heinis. Fact-checking by Sierra Juarez. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.Always free at these links: Apple Podcasts, Spotify, Google Podcasts, the NPR app or anywhere you get podcasts.Find more Planet Money: Facebook / Instagram / TikTok / Our weekly Newsletter.Music: Universal Music Production - "This Summer," "Music Keeps Me Dancing," "Rain," and "All The Time."
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China's real estate crisis, explained
China's economic growth for the past few decades has been extraordinary. And much of that growth was fueled by real estate – it was like this miraculous economic engine for the country. But recently, that engine seems to have stopped working. And that has raised all kinds of questions not just for China but also for the global economy. Today on the show, we look at what's happening inside China's real estate market. And we try to answer the question: how did we get here?Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.
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'Five Firsts': What Sarah Gonzalez learned from her first customer service job
It's the return of 'Five Firsts,' where we pull back the Planet Money curtain to learn about how the show gets made and the people who make it. On this bonus episode, producer Dave Blanchard talks with Sarah Gonzalez about her five firsts, including the first Planet Money story she pitched and her first job. (It involved a lot of standing.)Show your support for Planet Money and the reporting we do by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org. You'll be able to unlock this episode and other great bonus content! Email the show at planetmoney@npr.org.
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The alleged theft at the heart of ChatGPT
When best-selling thriller writer Douglas Preston began playing around with OpenAI's new chatbot, ChatGPT, he was, at first, impressed. But then he realized how much in-depth knowledge GPT had of the books he had written. When prompted, it supplied detailed plot summaries and descriptions of even minor characters. He was convinced it could only pull that off if it had read his books.Large language models, the kind of artificial intelligence underlying programs like ChatGPT, do not come into the world fully formed. They first have to be trained on incredibly large amounts of text. Douglas Preston, and 16 other authors, including George R.R. Martin, Jodi Piccoult, and Jonathan Franzen, were convinced that their novels had been used to train GPT without their permission. So, in September, they sued OpenAI for copyright infringement.This sort of thing seems to be happening a lot lately–one giant tech company or another "moves fast and breaks things," exploring the edges of what might or might not be allowed without first asking permission. On today's show, we try to make sense of what OpenAI allegedly did by training its AI on massive amounts of copyrighted material. Was that good? Was it bad? Was it legal? Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.
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