The American Statistical Association recently sponsored a Workshop: A Statistical Consensus on Global Warming held at the National Center for Atmospheric Research. The workshop was aimed at understanding what are the areas of agreement from a statistical perspective. In light of the issuance of the IPCC 2007 report this year and the general lack of success of the Kyoto Accord to stem greenhouse gas emissions, this workshop has an important role in developing the consensus on statistical issues. Although both paleoclimate reconstruction and climate modeling have many fundamentally statistical/stochastic issues, the convergence of the perspectives of statisticians and climate scientists is not great. This talk is not an anti-anthropogenic global warming talk, but will probably irritate climate scientists anyway. (It did at NCAR, but discussion is good.) In this talk I seek to raise some of the statistical issues related to inferences about climate change.