Book1954
How to Lie with Statistics
Darrell Huff
Catalogues the standard tricks — the truncated graph, the biased sample, the unspecified average — by which real numbers are made to imply a false conclusion without anyone technically lying.
Media & Communication · Information Literacy
Statistical Claims in the Wild
A topic within Information Literacy, itself one of 11 topics in that field and part of Media & Communication.
Reading on Statistical Claims in the Wild
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How to Lie with Statistics
Darrell Huff · 1954
Catalogues the standard tricks — the truncated graph, the biased sample, the unspecified average — by which real numbers are made to imply a false…
Then
Assumes you know the vocabulary.
More Damned Lies and Statistics: How Numbers Confuse Public Issues
Joel Best · 2004
Extends his own earlier argument to show that even sympathetic, well-intentioned advocates routinely misstate the statistics behind a cause, because…
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Primary sources and full treatments.
Helping Doctors and Patients Make Sense of Health Statistics
Gigerenzer et al. · 2007
Argues that patients and physicians are routinely misled by health statistics not because they can't reason but because risks are reported in formats…
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Book2004
More Damned Lies and Statistics: How Numbers Confuse Public Issues
Joel Best
Extends his own earlier argument to show that even sympathetic, well-intentioned advocates routinely misstate the statistics behind a cause, because a round, dramatic number spreads faster through the press than a hedged, accurate one.
PaidIntermediate
Paper2007
Helping Doctors and Patients Make Sense of Health Statistics
Gigerenzer et al.
Argues that patients and physicians are routinely misled by health statistics not because they can't reason but because risks are reported in formats — relative risk, single-event probabilities — that are almost designed to be misread, and that switching to natural frequencies fixes most of the confusion.
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