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A modern variant of Hume’s Guillotine, applied to statistics: it forcibly separates statistical findings from the social, political, and methodological choices that produced them. Under the Statistical Guillotine, numbers are treated as pure, self‑evident facts—independent of how they were collected, which questions were asked, what was excluded, and how uncertainty was framed. This allows advocates to say “the statistics speak for themselves” while ignoring that statistics are always constructed through human decisions. The guillotine is often used to shut down critiques of data quality or relevance, claiming that any discussion of context is “unscientific” or “political.”
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