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Entry: Climate of Here Link: http://www.takimag.com/site/article/climate_of_here#20219 Post contents: When I do statistical analysis for business/economic purposes, I consider the quality of the sample data and test it for sensitivity. For example, if the sample data is a proxy for something otherwise immeasurable then I test the sensitivity based on the strength of the correlation. Similarly, if some of the data in the sample is flawed in some way, I test output with the flawed data 'corrected' in some way vs. removing the flawed data altogether. I don't see this kind of sensitivity testing being done with climate data which is all proxy data, much of which is deeply flawed. How have we reached such a high level of confidence on the subject of global climate change? It's as if we're measuring the global economy by weighing the vault at a few hundred banks each day. Flawed proxy; flawed data. Sent at: 2008 10 06