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Navigating Uncertainty in Data Analysis
This chapter explores the complexities of data analysis, focusing on the importance of acknowledging uncertainty and confidence levels in fields like health and intelligence. It discusses the need for resilience, collaboration, and transparency in decision-making, illustrated by examples such as the COVID-19 pandemic and the role of red teams in uncovering assumptions.