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Why Global Warming is Probably a Crock
The American Thinker ^ | January 16, 2007 | James Lewis

Posted on 01/16/2007 5:06:47 AM PST by oldtimer2

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To: oldtimer2
it equals a little more than 36.6 percent

That was about the same odds Rick Pitino went with to take the Celtics job and get Tim Duncan in draft lottery.

41 posted on 01/16/2007 7:26:18 AM PST by AU72
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To: oldtimer2
Whatever the human contribution there may be to climate constitutes just a few signals among many hundreds or thousands.

Even this scientist is being generous to the "global warming" hypothesis. The number of variables that need to be considered for "global warming" theory is more likely in the hundreds of thousands if not millions.
42 posted on 01/16/2007 7:29:24 AM PST by adorno
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To: megatherium
He questions the reliability of the current global climate (computer) models, but neglects to mention that these have been succesfully tested on real-world conditions.

Like they predicted the 2006 hurricane season?

43 posted on 01/16/2007 7:29:35 AM PST by Ditto
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To: Ditto

A hurricane season is not climate. The models are climate models.


44 posted on 01/16/2007 7:33:53 AM PST by megatherium
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To: megatherium

" if you plug in the initial conditions resulting from the eruption of Mt. Pinatubo (1991), the models correctly predict the amount and duration of the resulting global cooling."

That's the first I've heard of that claim; is this from a published study or another source?

BTW, how much global cooling was there and what years did it last?


45 posted on 01/16/2007 7:41:14 AM PST by Old Professer (The critic writes with rapier pen, dips it twice, and writes again.)
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To: megatherium
Are the models he builds models for the weather, or models for climate?

Both. He is a climate research professor at UW-Madison. He works off of federal grants to build computer models to test "global warming" theory. Part of that effort includes building local and regional models that are integrated into the global models.

This is the standard procedure for testing models, because you already have the data and you already have the outcome.

My point was that the models did not predict the effect of the Pinatubo eruption on global temperatures. The models were built to fit the data, not predict the outcome. If Pinatubo were to erupt today, the models would not be able to predict the eruption's effect on global temperatures beyond a day or two into the future.

46 posted on 01/16/2007 7:42:10 AM PST by highimpact
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To: oldtimer2
This is the clearest, most easily understood essay about why the climate models can't predict the future weather accuratily that I have ever read.

I read in a Smithsonian article at least 10 years ago that global warming models cannot predict anthing because the scientists creating the model have to make thousands of assumptions - each with some degree of innacuracy.

47 posted on 01/16/2007 7:44:05 AM PST by CharacterCounts (-)
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To: megatherium
A hurricane season is not climate. The models are climate models.

Bull. Modeling weather is far less complex with fewer variables and less unknowns than modeling climate, about which we understand very little.

48 posted on 01/16/2007 7:46:31 AM PST by Ditto
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To: driftless2

One thing that ought to be taken into account is that warming winters wiil work to reduce fuel use for heating buildings and automatically reduce CO2 output as well.


49 posted on 01/16/2007 7:47:46 AM PST by Old Professer (The critic writes with rapier pen, dips it twice, and writes again.)
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To: oldtimer2
Liberals have sold the public a bill of goods over something that might happen 100 years from now. But what if it never comes to pass? The Heisenberg Uncertainty Principle tells us no event in Nature can be predicted exactly as people expect. Yet liberals want us to believe they know what global warming is going to do to the planet decades from now when they keep being surprised by today's weather. That is neither rational nor based on science.

"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus

50 posted on 01/16/2007 7:50:31 AM PST by goldstategop (In Memory Of A Dearly Beloved Friend Who Lives In My Heart Forever)
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To: megatherium

A Lego isn't a set; but if you collect one Lego a year for a number of years, you will have a set.

It's silly to try and divorce climate from weather; since the study of climate is based on observations of weather.

If everybody could just reduce his energy use by 10% we could know far better what the influence is.


51 posted on 01/16/2007 7:51:36 AM PST by Old Professer (The critic writes with rapier pen, dips it twice, and writes again.)
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To: megatherium
Those models only worked after the fact.

This is the standard procedure for testing models, because you already have the data and you already have the outcome. Otherwise it would take far too long to verify a model's accuracy.

No. I have developed hydro-dynamic computer models at the National Labs and in Industry for many years and have worked closely with experimentalist while trying to validate the models. Comparisons with existing data are only for qualitative purposes or maybe to try and infer the value of unknown coefficients. However, a models predictive capabilities are *only* based on its ability to predict outcomes apriori (before the measurement)

The type of testing you are refer to only appropriate for semi-emperical models. These are models which are always done after the fact and use experimental inputs as part of the model as a means to try and understand process corelations in a system that is beyond our ability to fully model. These are NOT predictive models.

52 posted on 01/16/2007 7:55:19 AM PST by pjd
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To: dinasour
Exactly. The Precautionary Principle would say wait until we have definite proof global warming is real before spending billions of dollars to address it. But for politicians who eye is on their immediate reelection, a concern about whether the models are correct matters less than whether they can convince the public they have a quick fix to a very esoteric problem. I think Bjorn Lomberg, who with other scientists compiled a list of problems the world has to work on, made the point that global warming did not make the Top Ten List.

"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus

53 posted on 01/16/2007 7:59:49 AM PST by goldstategop (In Memory Of A Dearly Beloved Friend Who Lives In My Heart Forever)
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To: megatherium
There's the oldest fallacy in the world: the appeal to authority. Algore isn't a climate scientist and yet people treat him as knowledgeable on the subject.

"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus

54 posted on 01/16/2007 8:01:35 AM PST by goldstategop (In Memory Of A Dearly Beloved Friend Who Lives In My Heart Forever)
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To: AU72
Let me get this straight: we know for sure the planet is going to warm up dramatically within our lifetime but we can't predict with certainty how our investments would do on the stock market day to day? Now THAT is a bunch of crock!

"Show me just what Mohammed brought that was new, and there you will find things only evil and inhuman, such as his command to spread by the sword the faith he preached." - Manuel II Palelologus

55 posted on 01/16/2007 8:04:05 AM PST by goldstategop (In Memory Of A Dearly Beloved Friend Who Lives In My Heart Forever)
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To: Paloma_55

Thanks for the post that clearly shows a very high correlation that CO2 levels and global temperatures track each other very well.

You just showed that the Hypothesis is probably correct !!!

Not that humans cause Global Warming but, Rising CO2 levels cause Global Warming.

But, It is also an undeniable fact that we humans are dumping billions of tons of CO2 in the air and atmospheric CO2 levels have risen quite dramatically over the last 100-150 years.


56 posted on 01/16/2007 8:12:49 AM PST by LM_Guy
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To: LM_Guy

Thanks for the post that clearly shows a very high correlation that CO2 levels and global temperatures track each other very well.

Actually you miss the point of that graph by a wide margin. Temperature leads the change in CO2 for the most part in that data. As temperature rises, CO2 is released into the atomosphere from the oceans, and biosphere. It is an effect not a cause of temperature change insofar as it relates to icecore studies such as in depiction #11. Note that each pixel of that graph is around 1kys worth of information and still it demonstrates an extreme lag in change of CO2 concentrations.

 

CO2-Temperature Correlations

Summary

[ see also: Indermuhle et al. (2000), Monnin et al. (2001), Yokoyama et al. (2000), Clark and Mix (2000) ]

[see: Petit et al. (1999), Staufer et al. (1998), Cheddadi et al., (1998), Raymo et al., 1998, Pagani et al. (1999), Pearson and Palmer (1999), Pearson and Palmer, (2000) ]

 

Global warming and global dioxide emission and concentration:
a Granger causality analysis

http://isi-eh.usc.es/trabajos/122_41_fullpaper.pdf


57 posted on 01/16/2007 8:50:16 AM PST by ancient_geezer (Don't reform it, Replace it.)
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To: goldstategop
There's the oldest fallacy in the world: the appeal to authority.

You cannot entirely divorce what a writer says from his level of expertise when he is commenting on a highly technical subject. And all I did was ask what the writer's expertise was.

58 posted on 01/16/2007 9:06:20 AM PST by megatherium
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To: oldtimer2
One can only hope he's "dumbing it down" for the masses as his statistical reasoning is quite weak. For example, yes, the probability of each specific pair of values on tossing two dice is 1/36, but the probability of getting a sum of seven is 1/6 or ~17%. The probability of getting one of just three of the eleven different sums (a six, seven or eight) is 16/36 or ~44%. If you were to toss 100 dice, the average of their values would be between 3.4 and 3.6 (just 4/100 of the possible range of between 1 and 6) about 46% of the time.

Global warming predictions are more like these aggregate sort of statistics. For example, let's say that there are indeed 100 GW variables and we can predict each with an accuracy of 99% but we only have to get 90 of the 100 variables right to correctly predict some global warming threshold. The chances of getting 90 of the 100 correct is about 99.9999993744482%. Betting against global warming would be like buying lottery tickets, a sucker's bet.

As a person who's skeptical about global warming hype, I hate being tarnished by association with arguments like Lewis makes.

59 posted on 01/16/2007 9:17:28 AM PST by edsheppa
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To: oldtimer2

There are two things:
1. global warming;
2. Global Warming.
The second one is the real one.


60 posted on 01/16/2007 9:19:59 AM PST by RightWhale
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