Explore the data analysis method known as p-hacking, where data is misrepresented as statistically significant.
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.
View full lesson: https://ed.ted.com/lessons/the-method-that-can-prove-almost-anything-james-a-smith
Dig deeper with additional resources: https://ed.ted.com/lessons/the-method-that-can-prove-almost-anything-james-a-smith#digdeeper
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