Balancing Truth-Seeking and Communication Strategies in Research

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Exploration of the challenges in implementing cutting-edge research methods while maintaining effective communication strategies. The chapter discusses the impact of overfitting models and the use of L2 regularization to improve prediction accuracy. Additionally, the conversation delves into the complexities of astrology models and the debate on whether sun signs hold real predictive value.

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NOTE: Spencer appeared as a guest on The 80,000 Hours Podcast back in March, and this episode is our release of that recording. Thanks to the folks at The 80,000 Hours Podcast for sharing both their audio and transcript with us!

Does money make people happy? What's the difference between life satisfaction and wellbeing? In other contexts, critics are quick to point out that correlation does not equal causation; so why do they so often seem to ignore such equations when they appear in research about the relationships between money and happiness? When is hype a good thing? What are some ethical ways to generate hype? What are some signs that someone is an untrustworthy or hurtful person? Are pre-registrations and/or registered reports helping with reproducibility in the social sciences? Should we all maintain a list of principles to help guide our decisions? What are the most common pitfalls in group decision-making? What is "lightgassing"? What kinds of life outcomes can be predicted from a person's astrological sign? How does machine learning differ from statistics? When does retaliatory behavior become pro-social? In what ways do people change when they become parents?

Rob Wiblin hosts The 80,000 Hours Podcast, which investigates the world's most pressing problems and what listeners can do to solve them. You can learn more about Rob at robwiblin.com, learn more about his research work at 80000hours.org, and follow him on social media at @robertwiblin.

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