Quote:
Originally Posted by engineerdude
Models can be created to show that our tiny amount of atmospheric CO2 affects global temperatures. The models are back-checked to fit selected historic records. This does not necessarily give the models any predictive value.
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One can select data to fit a model, but analyses such as that coordinated by organizations such as
the WMO and
NASA GISS are reviewed to detect and reject these and other intentional and unintentional methodological errors. Further, much of their primary datasets are publicly available for analysis by anybody. I’m unaware of any statistically valid analysis supporting the claim of a widespread sampling bias among climatolgists in general.
Quote:
Originally Posted by engineerdude
I made a model in my post that shows how a tiny number of women wearing bikinis heats up my hometown. The model was back-checked to fit my selected historic records. This does not necessarily give the model any predictive value.
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By you own admission, ED, easily verified by visiting the referenced webpage, you have not done this, but rather relabeled the graphics from the
wikipedia article “global warming” and other sources. Your data is not actually from thermometer measurements recorded personally by you, doesn’t agree with public sources such as the NASA GISS station data for
Toledo/Expres, or, I’m fairly certain, contain any actual data about bikinis from Wal-Mart, or women wearing them.
In short, you’ve written a bit of humorous satirical fiction, admitted to it, then, oddly, claimed that it’s not fictional. I fail to see how this serves to do anything but confuse serious discussion about climatology.
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