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Navigating the Pitfalls of Data Interpretation in Business
This chapter explores the common mistakes in data interpretation within corporate environments, particularly confirmation bias and the desirability effect. It underscores the importance of context and careful analysis to avoid misjudgments in generalizing data findings, illustrated by an example from a senior vice president of engineering.