old data

18 posts
Data shelf life

Stephen M. Stigler argues that data have a limited shelf life. The abstract: Data, unlike some wines, do not improve with age. The contrary view, that data are immortal, a view that may underlie the often-observed tendency to recycle old examples in texts and presentations, is illustrated with three classical examples and rebutted by further examination. Some general lessons for data science are noted, as well as some history of...

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