I’ve been reading about how some studies that we assume provide us with information about the world actually don’t teach us anything because of statistical manipulation that makes them look more relevant than they are. How does this work?
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The P value is how likely your result could be from chance rather than the effect of whatever you are studying. The lower it is, the more confident you can be that your study has produced something meaningful.
P-hacking is the process of selecting some data and discarding others to get your P value as low as possible (generally to 0.05 or below).
There’s an interesting tool at https://projects.fivethirtyeight.com/p-hacking/ to show how it works. You can “prove” that either party is statistically better at handling the economy by selecting which variables you use.
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