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When analyzing hierarchical data, factor smooths for subjects are essential in GAMs to avoid p-value inflation. Even when seeking population-level inference, these random terms must be included for accuracy. This professional walkthrough explains the technical reasons why factor smooths are vital for modern statistical data analysis.