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Discussion and Debate
Discussion and Debate
Physical & Life Sciences
The Holocene Deniers
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<blockquote data-quote="thaumaturgy" data-source="post: 53055362" data-attributes="member: 169303"><p>OK, I'm starting to get an idea of what you are doing here, Glenn. Not sure why you are drilling so deeply down to find variances on <strong>subsets</strong> rather than looking at the entire data set overall.</p><p></p><p>When I take a step back and look at the overall data set I see this:</p><p><img src="http://members.cox.net/hagiograph/okok_dailydiff.jpg" alt="" class="fr-fic fr-dii fr-draggable " style="" /></p><p>Now this is for the <em>entire available daily data set</em>. The median for this data set is <strong>0[sup]o[/sup]F</strong> and the mean is <strong>0.53[sup]o[/sup]F</strong></p><p><strong></strong></p><p><strong></strong>I suppose that if you sub-sample enough you can find all sorts of problems with the data.</p><p></p><p>Is the goal here to subsample until you find something you are bothered by and then ask everyone to abandon all the surface temperature data?</p><p></p><p>Is that the goal?</p><p></p><p>Again, I'll ask: </p><p></p><p><strong>Are you willing to reconstruct the entire insurance industry, the entire meteorological sciences, the entire energy sector supply and pricing structures?</strong></p><p></p><p>Because that is what you will end up having to do.</p><p></p><p>Now while no one likes to pay insurance premiums and people complain about the weather, you are on the verge here of telling us about a century's worth of work in a <strong>huge variety of fields you are not directly invovled in</strong> are going to have to go out the window.</p><p></p><p>All because you were able to find some places in the record, using <strong>anecdotal data</strong> that showed upwards of a 1 degree bias for one station versus another?</p></blockquote><p></p>
[QUOTE="thaumaturgy, post: 53055362, member: 169303"] OK, I'm starting to get an idea of what you are doing here, Glenn. Not sure why you are drilling so deeply down to find variances on [B]subsets[/B] rather than looking at the entire data set overall. When I take a step back and look at the overall data set I see this: [IMG]http://members.cox.net/hagiograph/okok_dailydiff.jpg[/IMG] Now this is for the [I]entire available daily data set[/I]. The median for this data set is [B]0[sup]o[/sup]F[/B] and the mean is [B]0.53[sup]o[/sup]F [/B]I suppose that if you sub-sample enough you can find all sorts of problems with the data. Is the goal here to subsample until you find something you are bothered by and then ask everyone to abandon all the surface temperature data? Is that the goal? Again, I'll ask: [B]Are you willing to reconstruct the entire insurance industry, the entire meteorological sciences, the entire energy sector supply and pricing structures?[/B] Because that is what you will end up having to do. Now while no one likes to pay insurance premiums and people complain about the weather, you are on the verge here of telling us about a century's worth of work in a [B]huge variety of fields you are not directly invovled in[/B] are going to have to go out the window. All because you were able to find some places in the record, using [B]anecdotal data[/B] that showed upwards of a 1 degree bias for one station versus another? [/QUOTE]
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