Scientists love statistical significance. It offers a way to test hypotheses. It’s a ticket to publishing, to media coverage, to tenure.
It’s also a crock — statistically speaking, anyway.
You know the idea. When scientists perform an experiment and their data suggest an important result — say, that watching TV causes influenza — there’s always the nagging concern that the finding was a fluke.
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