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 Originally Posted by Savy
I do somewhat think you're underestimating the human bias involved in wanting false results from experiments though.
One of the first things I remember learning in my stats class was the nonsense that is things like hair care products that say things like "90% of women agree" then give the stats on who they asked etc and measuring what those results actually mean, almost nothing.
That goes on, but the example you give is hardly science. Just because someone played hard and fast with the data to market their hair product doesn't mean that's standard practice for real scientists.
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