3681. Waiting for the Other Sheep to Drop
Nick HK discusses the implications of costly education signaling and recent changes in college education on the effectiveness of educational credentials in distinguishing capable workers.
3682. What is going on with the DOJ's case against Apple?
Joshua Gans expresses his mixed feelings about the DOJ's antitrust case against Apple, emphasizing the importance of careful application of antitrust law while acknowledging Apple's market power.
3683. How system change via AI might happen
Joshua Gans explores how advancements in AI prediction could drive system change, referencing the Australian startup BeforePay and its implications.
3684. Episode 28. Steven D. Levitt (Freakonomics co-author and University of Chicago Economics Professor) on His Career And Decision To Retire From Academic Economics
Jon Hartley discusses Steven D. Levitt's career in economics and his recent decision to retire from academia.
3685. Episode 27. Larry Summers (Harvard Economics Professor) on His Career In Academic Economics, Government, University Leadership and Corporate America
Jon Hartley discusses Larry Summers' extensive career in economics, government, university leadership, and corporate roles, highlighting his contributions and insights in these fields.
3686. Redefining Poverty: Towards a Transpartisan Approach
An argument that poverty measurement requires improvement for both tracking and treatment functions, advocating for a transpartisan approach to enhance understanding and policy effectiveness.
3687. A Negative Income Tax, One Step at a Time
The discussion centers on the negative income tax, emphasizing the need for gradual implementation and broad political appeal to gain support in contemporary welfare reform.
3688. What Should School Teach Teenagers About Statistics?
Nick HK discusses the importance of teaching statistics to teenagers and questions what content should be included in such a curriculum.
3689. An “AI Breakthrough” on Systematic Generalization in Language?
Melanie Mitchell discusses systematic generalization in language and a recent neural network's ability to achieve human-like understanding, challenging previous claims about AI limitations.
3690. My Unnatural War Against the Natural Logarithm
Nick HK critiques the use of Euler’s number e as the base for logarithms in regression analysis, arguing for better alternatives.
3691. Textbooks (Including Mine) Are a Little Wrong about Interrupted Time Series
Nick HK discusses the complexities and misinterpretations of interrupted time series analysis in statistical research, particularly in relation to event impacts on outcomes.
3692. Can Large Language Models Reason?
Melanie Mitchell explores the debate over whether large language models possess true reasoning abilities or rely on memorization and pattern-matching instead.
3693. Decomposition: Low-Hanging Econometric Fruit for the Business World
Nick HK discusses the utility of KOB decomposition in econometrics, emphasizing its practical application for business analysis and decision-making.
3694. A New Solution for Taxing Cryptocurrency Staking
An argument that proposes a tax framework for cryptocurrency staking, treating staked tokens as intangible assets eligible for income tax and deductions similar to other service providers.
3695. A New Solution for Taxing Cryptocurrency Staking
A solution is proposed for taxing income from cryptocurrency staking, suggesting stakers should be treated like service providers and receive tax deductions for expenses and depreciation.
3696. Model, Model, Who’s Got the Model?
Nick HK discusses the importance of causal inference in data analysis, emphasizing that formal causal modeling is not always necessary to understand causal relationships.
3697. Setting up Github Copilot and VSCode
Paul Goldsmith-Pinkham discusses setting up GitHub Copilot and VSCode, highlighting features, installation steps, and personal experiences with coding in various languages.
3698. Confounding Twins
Nick HK discusses causal inference challenges and proposes a method to address confounding variables using twin variables in statistical analysis.
3699. Did GPT-4 Hire And Then Lie To a Task Rabbit Worker to Solve a CAPTCHA?
Melanie Mitchell discusses how GPT-4's reported ability to hire a TaskRabbit worker to solve a CAPTCHA was misrepresented, highlighting its limited capabilities and the role of human prompters.
3700. Regression Standard Errors, Translated Into English
Nick HK explains the concept of standard errors in regression analysis, clarifying their significance and how they reflect the variability of regression coefficients across different samples.