[oneisone]

I read a chapter of the book, it criticizes non Bayesian statistics too much. For example at discussing p-values. The p-value method is for getting sound results but not for interpreting the particular value obtained in one experiment, for example 5% is for being right 19 of 20 times, the numbers obtained in the experiments doesn't change this.

[CuriouslyC]

The author is trying to present a probabalistic framework for reasoning about the world. The issue with p-values is that they have a narrow band of utility, and can't really contribute much to the process of inference as a whole; you can say no to a nearly infinite number of absurd propositions and still not be able to say anything insightful about a system. On top of that, p-values are clearly not intuitive, as demonstrated by their widespread misuse.