A survey of clerical workers' attitudes toward their work identified a group of secretaries with very positive attitudes. ████ █████████ █████████ ██████ ██ ████ ██████████ ██ ██ █████ ████ ███████████ ███ ██ ████ ████████ ███ ███████████ ████████ █████ ███████████ ███ ████ █████ ██ █████ ███████████ ██ █████████ █████████████ ██████ ████ ███████████ █████ █████████ ████ ██████████ ██ ████ █████████ ███████ █████ ████████████ ████████ █████████ ██████ █████ ████ ████████ █████████ ███ ████████████
The author concludes that secretaries' positive attitudes toward work caused their excellent job performance. She supports this by pointing out that a survey identified secretaries with positive attitudes toward work, and these same secretaries were rated by their supervisors as excellent workers, much better than those with less positive attitudes.
This is the cookie-cutter flaw of assuming that correlation proves causation. The author assumes that the secretaries' positive attitudes caused their excellent job performance, just because the same group had both traits. However, the author overlooks two key possibilities:
(1) Maybe the secretaries' excellent job performance caused their positive attitudes toward work.
(2) Maybe another factor, like being well-paid, caused both their positive attitudes and their excellent performance.
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