The null hypothesis cannot be 'confirmed' nor 'strengthened' using a p-value, because very likely there are many better hypotheses: Any p-value less than 1 implies that the null hypothesis is not the hypothesis most compatible with the data. https://t.co/1Ys3mYi6Df
Within a 95% compatibility interval, the sample average is about seven times as plausible, or seven times as good a bet for the true population average, as are the limits of the interval (given our model is correct). https://t.co/tGsxj3AGXQ
Inspiring take on the relation between #pvalues and #reproducibility:
"two studies will be ‘conflicting’, meaning that one is significant and the other is not, in one third of the cases if there is a true effect"
https://t.co/COvaRBiACE
@talyarkoni @russpoldrack via @dngman https://t.co/QInXe2DyWI