" the surprisingly slippery nature of the P value, which is neither as reliable nor as objective as most scientists assume."
"...suggested that most published findings are false"
"a P value of 0.05 became enshrined as 'statistically significant', for example. "The P value was never meant to be used the way it's used today,""
"Most scientists would look at his original P value of 0.01 and say that there was just a 1% chance of his result being a false alarm. But they would be wrong. The Pvalue cannot say this: all it can do is summarize the data assuming a specific null hypothesis. It cannot work backwards and make statements about the underlying reality. That requires another piece of information: the odds that a real effect was there in the first place. To ignore this would be like waking up with a headache and concluding that you have a rare brain tumour "
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