Aces High Bulletin Board
General Forums => The O' Club => Topic started by: Angus on May 20, 2011, 06:32:28 AM
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Just stumbled on this one. Somewhat staggering. Looks like that the northern Iecap will be having a baldie in some....5 years
(http://vulkan.blog.is/users/b9/vulkan/img/hafis.jpg)
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Basically, were all going to die :D
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What is the frequency of this sine wave?
Seriously, I hope that they have some physics behind this extrapolation because extrapolating based on a polynomial fitting with no physical model behind it is the worst kind of science. It is easy to prove that to any given set of data I can find a polynomial that will fit all the data and predict an ice sheet heavier than the mass of the sun by 2020.
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Wow, math is powerful.
-Penguin
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This whole global warming debate is completely screwed.
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Math or no math, these are just monthly measures over a certain period.
Extrapolating as they go will lead you to nil. in about 2016
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What about before 1979?
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Mother Nature
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What about before 1979?
Haven't pulled up any figures, but searching for "ice cap area over 100 years" gave me this as the first result:
http://en.wikipedia.org/wiki/Retreat_of_glaciers_since_1850 (http://en.wikipedia.org/wiki/Retreat_of_glaciers_since_1850)
And as with any set of data, I'd be interested to know:
-what are the units of the y-axis
-what is the data on the y-axis representing (I guess it's area of ice, but I don't know)
-where/how was it obtained
-is it the entire set of data
-where are the measurements from
-were any of the data defined as outliers and removed
...and so on.
Until these things are known, that chart is essentially meaningless.
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Haven't pulled up any figures, but searching for "ice cap area over 100 years" gave me this as the first result:
http://en.wikipedia.org/wiki/Retreat_of_glaciers_since_1850 (http://en.wikipedia.org/wiki/Retreat_of_glaciers_since_1850)
And as with any set of data, I'd be interested to know:
-what are the units of the y-axis
-what is the data on the y-axis representing (I guess it's area of ice, but I don't know)
-where/how was it obtained
-is it the entire set of data
-where are the measurements from
-were any of the data defined as outliers and removed
...and so on.
Until these things are known, that chart is essentially meaningless.
This is exactly what I was about to ask so...
+1