This document discusses how perceptions and prejudices can influence how data is interpreted. It notes that average data can be irrelevant and dangerous, and that relational data provides a closer interpretation of the actual scenario by accounting for variation. It emphasizes the need for data visualization and publicly available, contextualized data to overcome biases and properly communicate insights from vast databases.
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