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Flawed is not completely useless. Even a flawed p-hacked measurement can distinguish between big effects efficiently.

Plus even if all the previous measurements were totally useless, that doesn't mean we should just give up and stop trying to measure soft stuff.

No, it's quite the opposite. Instead of many small underpowered experiments and studies we should be spending on fewer but well designed and run larger ones. (Even if that's naturally harder.)




Systematically flawed input will produce flawed results. Whatever the kind of the input is, be it measurement or else.


Why would you need a p-hack if the effects are big?




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