text: 11. This is especially disappointing. Based on the above, the authors appear to have gotten little at all out of their reading of Mann et al (2005). Morevoer, Mann et al (2006) have already dispelled the specious claim that the findings for the AD 1400 sparse network are any different for those for the full network. They are not. Moreover, what can the authors possibly mean by "non-sense" predictors if not predictors that are composed entirely or almost entirely of noise. At SNR=0.25, for which Mann et al (2005) show a skillful reconstruction is still produced, the pseudoproxies are composed of 94% noise by variance. In more recent work Mann et al (2006) have shown this is true even if the noise is substantially more red than is supported for actual proxy records. Mann et al (2006) show that the performance for a fixed SNR=0.4 (86% noise by variance) are very similiar that for a multiproxy data set with the same average SNR (0.4), but for which the SNR for individual pseudoproxies ranges from SNR=0.1 to SNR=0.7. Would BC try to seriously argue now that pseudoproxies with SNR=0.1 (essentially, entirely composed of noise) are not nonsense predictors by their definition. Lets think a bit about what the real "nonsense" is here.