That depends heavily on what "the method" picks out. If you mean that the machinery of a null hypothesis significance test against a fixed-for-all-time significance level of 0.05, then I agree, the method doesn't promote good practice. But if we're talking about frequentism, then identifying the method with null hypothesis significance testing looks like attacking a straw man.
I know a bunch of scientists who learned a ton of canned tricks and take the (frequentist) statisticians' word on how likely associations are... and the statisticians never bothered to ask how a priori likely these associations were.
If this is a straw man, it is one that has regrettably been instantiated over and over again in real life.
http://xkcd.com/1132/
Is this a fair representation of frequentists versus bayesians? I feel like every time the topic comes up, 'Bayesian statistics' is an applause light for me, and I'm not sure why I'm supposed to be applauding.