  In astro-ph/0702542v2, Linder and Miquel seek to criticize the use of
Bayesian model selection for data analysis and for survey forecasting and
design. Their discussion is based on three serious misunderstandings of the
conceptual underpinnings and application of model-level Bayesian inference,
which invalidate all their main conclusions. Their paper includes numerous
further inaccuracies, including an erroneous calculation of the Bayesian
Information Criterion. Here we seek to set the record straight.
