| Sumario: | The article reviews *Thinking through Data: How Outliers, Aggregates, and Patterns Shape Perception* by Maja Bak Herrie, which explores the aesthetic and social dimensions of key statistical concepts—outliers, aggregates, and patterns—in data visualization. Herrie introduces the concept of the "digital object" to analyze how these statistical entities function as both knowledge products and mediators of social meaning, drawing on contemporary art projects to illustrate these dynamics. The book situates statistical operations within the framework of Kulturtechnik, a cultural technique that shapes perception and knowledge production beyond mere technical processes. While the work contributes to sociological discussions on data and mediation, the review notes that Herrie’s treatment of aesthetics remains underdeveloped, limiting deeper engagement with the political and epistemological stakes of data visualization in algorithmic contexts.
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