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Navigating Data Analysis and Intellectual Honesty
The chapter delves into the speaker's passion for data analysis and their hands-on approach to programming. It emphasizes the importance of intellectual honesty and avoiding confirmation bias in interpreting empirical findings. The chapter also explores surprising research outcomes on topics like education, social capital, and the disconnect between academic work and practical solutions.