> What a p-value means is, if the hypothesis in question is false, then we have an x% chance of seeing the observed data. The hypothesis in question is the nul

> What a p-value means is, if the hypothesis in question is false, then we have an x% chance of seeing the observed data. The hypothesis in question is the null hypothesis which must be assumed true not false for the p-value to mean a 100*p% chance of seeing the observed data. I can see why elementary mistakes are so pervasive.