Understanding Noise and Bias in Decision-Making

This chapter explores the concepts of noise and bias in decision-making processes, emphasizing their independence and relevance in achieving accuracy. It highlights a noise audit example from an insurance company that revealed costly discrepancies in valuations made by claims adjusters. The discussion advocates for systematic approaches to problem-solving and underscores the necessity of minimizing noise for improved outcomes across various sectors.