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Sure, it's an interesting question, but if the way you're measuring it can't be distinguished from noise, you need to find a different measure.



"Noise" isn't a generic concept that can be universally applied in the same way in any scientific context. That's the point of the article. It doesn't make much sense to assume that people's self-assessments come from an internal random number generator.

It makes sense as a robotically developed null hypothesis, but it doesn't make sense in the real world.




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