Maru Kun

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But she also points out that evidence of trustworthiness is required, and this means being transparent – not by just dumping masses of data on audiences, but being ‘intelligently transparent’.9 This means that claims based on data need to be: Accessible: audiences should be able to get at the information. Intelligible: audiences should be able to understand the information. Assessable: if they wish to, audiences should be able to check the reliability of the claims. Useable: audiences should be able to exploit the information for their needs.
The Art of Statistics: Learning from Data
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