Their argument against using statistics on computer models is valid. Models contain man-made fudge factors called parameters. Statistical measures like averages, means and confidence intervals of model outputs are arbitrary – they are what programmers choose them to be.
Another example of this what has amazed me is the concept of ensemble mean. Its like a report of climate modeling is some kind of opinion poll. Ensemble statistics describe how well research groups agree on parameters and as a consequence on the outputs of the computer runs that they have chosen to publish.