Explore the data analysis method known as p-hacking, where data is misrepresented as statistically significant.
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In 2011, a group of researchers conducted a study designed to find an impossible result. Their study involved real people, truthfully reported data, and commonplace statistical analyses. So how did they do it? The answer lies in a statistical method scientists often use to try to figure out whether their results mean something, or if they’re random noise. James A. Smith explores p-hacking.
Lesson by James A. Smith, directed by Anton Bogaty.
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