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I disagree. The canonical example here are p-values. Completely valid and accepted interpretation which will forever be abused. In the medical realm, we see the same things with false-positive and false-negative rates causing massive confusion. An even more recent example is COVID vaccine efficacy. I would take the bet that 90% of the general population could not give the accurate definition of what the definition of efficacy is.


Just curious about the downvotes.

1. Was it he said statistics lie sometimes?

2. Or, questioned 90% efficacy of some Covid vaccines?


I think you are getting downvoted because (hopefully) people recognize I didn't question their efficacy. Just that 90% of people know what that means.




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