The Peter Attia Drive 2024年08月05日
#154 - Steve Levitt, Ph.D.: A rogue economist’s view on climate change, mental health, the ethics of experiments, and more
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经济学家史蒂夫·列维特在播客中谈论了他的经济学职业生涯,他对该领域现状和局限性的看法,以及他对气候变化、教育中的心理健康、如何评估实验的伦理、决策、赛马等当代问题的独特见解。

🤔 史蒂夫·列维特最初对经济学并不感兴趣,但在哈佛大学学习比较优势时,他意识到自己天生就是“经济学家”。他后来获得了经济学博士学位,并认为他的职业生涯是“一系列错误、误判和无知”的结果。

📊 经济学领域存在宏观经济学和微观经济学。宏观经济学研究的是整体经济问题,例如通货膨胀、银行、失业和经济增长。微观经济学研究的是个人决策,例如人们如何决定支出收入,如何选择工作和工作时间等。

🌎 史蒂夫·列维特认为,气候变化是一个非常复杂的问题,不太可能通过行为改变来解决。他建议用“气候变化的曼哈顿计划”来解决这个问题。

🧠 史蒂夫·列维特认为,人们在决策方面很糟糕,需要在教育体系中强调心理健康。他还分享了关于赛马时间几十年来没有太大进展的见解,以及通过观察没有语言的世界来减少负面情绪的影响。

🔬 史蒂夫·列维特还探讨了如何以更合乎道德的方式进行实验,强调了在实验中考虑伦理问题的重要性。

Steven Levitt is a professor of economics at the University of Chicago and the co-author of the bestselling book Freakonomics and its two sequels. In this episode, Steve discusses his unlikely path to a career in economics and his view of the current state, and limitations, of the field. He also gives his unique perspective on contemporary issues including climate change, mental health in education, how to evaluate whether an experiment is ethical, decision making, horse racing, and much more.  WATCH PODCAST ON YOUTUBESubscribe on: APPLE PODCASTS | RSS | GOOGLE | OVERCAST | STITCHERWe discuss:How Steve ended up in economics (2:45);Current trends in the field of economics: macro vs. micro, usefulness of models, and the relationship between data and theory (8:45);Revisiting what Steve wrote about climate change in SuperFreakonomics, and why it’s unlikely to be solved with behavioral change (18:45);The consequences of a blurred line between climate science and advocacy (27:30);Answering climate questions with a “Manhattan Project for climate change” (31:45);Steve’s reflections on his career path and how he found his way by being himself (40:00);How Steve came to write Freakonomics (and its sequels), and the topics which caused the most controversy (53:00);How Steve came to appreciate mental health through parenting, and the need to emphasize mental health into the education system (1:10:15); Why people are bad at making decisions (1:26:45);Deliberating on why horse racing times haven’t advance much in decades (1:34:30);Reducing the impact of negative emotions by observing the world free of language (1:44:00);Changing our thinking about what it means to conduct experiments ethically (1:49:00); andMore.§ Sign up to receive Peter's expertise in your inbox Sign up to receive the 5 tactics in my Longevity Toolkit, followed by non-lame, weekly emails on the latest strategies and tactics for increasing your lifespan, healthspan, and well-being (plus new podcast announcements). How Steve ended up in economics [2:45]Steve was not interested in economicsAt Harvard, he sought out the courses most students took because they were easy, and the introductory economics course was oneDuring a lecture on comparative advantage, Steve was annoyed because he thought it was so obviousBut the same lecture had confused his friend, so he realized that way of thinking came naturally to him“It became clearer and clearer to me that I was just born thinking like an economist” —Steve LevittDid management consulting but hated it, so got PhD in economicsHe feels lucky because his career ended up being the result of “a series of mistakes, miscalculations and ignorance” Current trends in the field of economics: macro vs. micro, usefulness of models, and the relationship between data and theory [8:45]Macroeconomics vs. microeconomicsMacroeconomicsWhat most people think of when they hear “economics”Things like inflation, banking, unemployment, economic growthVery complex and economists haven’t done a good job of understanding itMicroeconomicsStudy of individual decision-makingE.g., how people decide how to spend income, how one chooses a job and how many hours to work, etc.Can analyze with formal model based on rationality or newer models like behavioral economics that takes more psychology and mistakes into accountEcon has traditionally been a theoretical disciplineBut now also econometrics, analyzing “messy” data“Macro in the end is really complicated. . .very self-referential models because the problems are so hard that you need to abstract so greatly to try to deal with the macro problems that I think we don’t have a good handle on them. So I’ve really steered clear of the macro problems to focus on the individual decision-making, which is, I think, … much more relevant.” —Steve LevittCurrent trends in economics Two big prizes in econ are Nobel Prize and the John Bates Clark Medal (given to the most influential American economist under the age of 40)Steve won the Clark medal in 2003In the last 20-30 years, the Clark medal has gone to people who address the intersection of theory and data Economics at a crossroads…{end of show notes preview}Would you like access to extensive show notes and references for this podcast (and more)?Check out this post to see an example of what the substantial show notes look like. Become a member today to get access.Become a MemberSteve Levitt, Ph.D.Steven Levitt is the William B. Ogden Distinguished Service Professor of Economics at the University of Chicago as well as the Director of the Becker Center on Chicago Price Theory.  In addition, he is the founding partner of The Greater Good Group (TGG) consulting firm.  The co-author of the bestselling book Freakonomics and its two sequels, he won the John Bates Clark Medal (one of the highest honors in the economics field) in 2003.  In 2006, Steve was named one of Time Magazine’s 100 People Who Shape Our World. He received his undergraduate degree from Harvard and his PhD from MIT.Twitter: @FreakonomicsFacebook: FreakonomicsWebsite (including podcast): freakonomics.comAcademic website: https://economics.uchicago.edu/directory/steve-levitt

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经济学 史蒂夫·列维特 数据 理论 决策 气候变化 心理健康 伦理
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