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Being a critical reader of data is an integral part of being fully literate in today’s information age. In this article the authors underscore the interdisciplinary importance of this stance by drawing upon theoretical perspectives from both the fields of language and mathematics. They argue that all texts, including statistical ones, must be interrogated for their biases and limitations.