@parados,
parados wrote:
Quote:I think I understand his point completely, but I simply think his point is invalid or at least not valid enough to justify using bad data.
Look at my examples okie..
If I measure the ocean off a mark on a dock, is the data not capable of telling when the tide goes in and out? Are you really willing to argue that? Is it bad data because I haven't accurately measured the depth of the ocean?
It is bad data if the dock you are measuring from is a floating dock or a dock not anchored properly, and is subject to instability.
Quote:If I measure the river off a mark on a levee, does that mean I can't tell when the water is rising? Are you really willing to argue that? Is it bad data because I haven't accurately measured the depth of the river?
Your levee example is not a real good one comparing to a thermometer in a parking lot, unless you specify that the levee is subject to much construction or change for example, which would render it a very unreliable place to do the measurements. Perhaps let us say the levee is bounded by irrigation or outlet canals that are subject to being opened or closed, which would also render the point of measurement as a very poor choice to do so, just as a parking lot is, or a thermometer is above the kitchen range.
Quote:If I measure the temperature on a thermometer that isn't accurate compared to another thermometer are you really willing to argue that I can't tell the temperature trend? Is it bad data because I haven't accurately measured the temperature?
Yes, it is bad data and not reliable to make any confident conclusions in regard to temperature trend.
Quote:Why is my third example different from the first 2?
Parados, admit it, you are so caught up into arguing your point that you have lost all common sense. I understand your general argument, basically being that even if the temps are not perfectly accurate, that they will still go up or down along with what the true temps are doing, but the problem is not just showing a trend, it is determining the amplitude of the trend as well. Also, you ignore the fact that if the data is bad enough, we are only talking about a fraction of a degree with global warming, and when the error has already been shown to be potentially as much as 5 degrees Centigrade off, the degree of potential error is several times the amount of global warming and the associated trend of it is totally obscured by the potential error of your measurement system.
In science, there is something called degree of accuracy, and when you have violated or you have fallen short or gone beyond the degree of accuracy with your data collection, you render yourself subject to making conclusions from the data that are simply not scientifically supportable, and will probably be wrong. In short, it is bad science, plain and simple.
Arguing these simple points is likely a very big waste of time, and frankly your arguments are laughable, but also sad because they are so ridiculous.