Hi, I haven't been reading Azimuth for the past couple of months just because I've been very overworked, but I've been keeping up my life as someone interested and trying to improve humanity's interaction with the environment. One of the things I've been looking at over the last couple of weeks is the [Berkeley Earth Surface Temperature dataset](http://berkeleyearth.org/), and trying to figure out how one might formulate some statistical measure one could use to determine if "climate change" is present in the data. Obviously one thing that often happens is that this is done via plugging the data in to climate models, but that involves an extra level of variables that need to be fitted (which is fine if one has expertise in actual climate models). Before I post some of my thoughts, I wonder if anyone else has any thoughts about how one might try to draw conclusions about climate change from this data?