News Is Global Warming a Swindle?

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The discussion centers on reactions to the documentary "The Great Global Warming Swindle," with participants expressing a range of views on climate change and the credibility of its scientific consensus. Some argue that the film presents discredited ideas and lacks input from qualified climatologists, while others believe it raises valid points about natural climate cycles and the influence of human activity. There is a notable emphasis on the importance of peer-reviewed research in the climate debate, with calls for skeptics to provide credible evidence against anthropogenic global warming. Participants also highlight the perceived divide between mainstream climate science and alternative viewpoints, suggesting that the debate is often framed in a way that resembles religious belief rather than scientific inquiry. Overall, the conversation reflects ongoing tensions in the climate change discourse, with varying levels of skepticism and acceptance of scientific authority.
  • #181
Art said:
Ah the 'appeal to authority' argument, a variation and close relative of the 'can't argue with consensus' argument you've been employing and equally invalid.

So, no then? I couldn't find any either. You have the burden of proof.

Now if for the sake of argument all historical temperature records are wrong

I'm not saying that. Neither is either author.

Meaning??

I don't really care what an amateur crackpot has to say about a reviewed article. It's a general statement, not aimed at anyone in particular.
 
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  • #182
From your own EPA link;

EPA said:
Are Heat Islands and Global Warming Related?

Heat islands describe local-scale temperature differences, generally between urban and rural areas. In contrast, global warming refers to a gradual rise of the Earth's surface temperature.

While they are distinct phenomena, summertime heat islands may contribute to global warming by increasing demand for air conditioning, which results in additional power plant emissions of heat-trapping greenhouse gases. Strategies to reduce heat islands, therefore, can also reduce the emissions that contribute to global warming.

The heat island effect can also complicate studies of long-term trends. By accurately measuring heat islands, scientists can remove the heat island effect from global temperature records.
 
  • #183
StuMyers said:
From your own EPA link;
You did read this before posting it?
The heat island effect can also complicate studies of long-term trends. By accurately measuring heat islands, scientists can remove the heat island effect from global temperature records.
Therein lies the problem. You and the paper you cite claim it hasn't been measured or adjusted accurately.

AGW proponents insist annual temperature rises (where they even exist) in urban areas are due to GW whereas some folk such as myself question if the rise over time (when there is one) isn't simply due to greater urbanisation.
 
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  • #184
StuMyers said:
I'm not saying that. Neither is either author.
:confused: So what are the adjustments for if the data is already correct?? And if the adjustments are because the data is wrong then surely the entire historical record is wrong?

Can you explain this apparently paradoxical view you have as I am baffled by it.
 
  • #185
Art said:
You did read this before posting it? Therein lies the problem. You and the paper you cite claim it hasn't been measured or adjusted accurately.

AGW proponents insist annual temperature rises (where they even exist) in urban areas are due to GW whereas some folk such as myself question if the rise over time (when there is one) isn't due to greater urbanisation.

You're not even at that point yet. You first have to provide PR'ed analysis which says that most land based temperature GW data is the result of thermometers in UHI's.

Then, you can try and argue that the UHI data/analysis is reliable (good luck).
 
  • #186
StuMyers said:
You're not even at that point yet. You first have to provide PR'ed analysis which says that most land based temperature GW data is the result of thermometers in UHI's.

Then, you can try and argue that the UHI data/analysis is reliable (good luck).
Ever since the beginning of the greenhouse scare, astute observers have suspected that urban heat was responsible for a large slice of the purported warming. The IPCC has stonewalled, telling policymakers that the urban heat island issue has "...been taken account of." This site proves the contrary. There is simply no systematic compensation for urban warming in the Jones dataset. Occasionally there is a slight adjustment in a record for a site change or other anomaly but the majority of records are used “raw”. This applies even to large cities with large, documented heat islands – e.g. Los Angeles, Chicago, Sydney, Johannesburg etc. etc. In recent years, two independent remote sensing methods – nightlight pictures and infrared heat imaging – have clarified the extent of urban heat islands. Their evidence is incontrovertible. Nightlight images show that the bulk of CRU’s records come from lit areas of the surface. Infrared imaging shows that many are from cities with huge heat islands – enough to raise the annual average temperature by 2-3 degrees Celsius compared to the surrounding countryside.

The problem should have been obvious all along. The UHI was first identified in London 200 years ago, and many studies have shown that it can raise the temperature even in small towns. But political correctness, a desire not to "rock the boat", the corrupting influence of "greenhouse funding" on the science and sheer wishful thinking have made the urban heat island a tabu subject in the greenhouse debate.This site breaks that tabu. It turns the spotlight on individual city records included in the CRU dataset, and also examines the CRU results for various "grid cells" across the globe. It leaves no doubt that the CRU temperature graphs are contaminated with pervasive and substantial urban heat which has nothing to do with greenhouse gases. Satellite images of night lights have been published by NASA and give a good indication of the location of urban areas over the entire earth. Taking the same midwest USA area as the Infra Red image above, this is a small preview of how the Jones / IPCC temperature stations are dominantly located in urban regions.
The IPCC tell policymakers that the urban heat island issue has "...been taken account of.." Sure, we can see that, their data is collected mainly from UHI areas. Follow the Earthlights link for larger images of the USA with Jones stations located. See "City reviews" link at left for UHI contamination in Chicago compared to more rural neighboring stations. Below is a classic example of century long growth in small town UHI contamination from the region shown above:
A foil to your realclimate.com http://www.warwickhughes.com/climate/
 
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  • #187
Art said:
:confused: So what are the adjustments for if the data is already correct?? And if the adjustments are because the data is wrong then surely the entire historical record is wrong?

Can you explain this apparently paradoxical view you have as I am baffled by it.

You're implying that all GW data is taken from heat islands, you silly goose.

p.s. I posted a correction WRT Parker vs Peterson.
 
  • #188
A picture is worth a thousand words.

Annual temperature of Tokyo and it's four nearest urban weather stations according to GISS. Perhaps notice the trends. It would take a considerable twist to explain it other than UHI effect

http://home.wanadoo.nl/bijkerk/Tokyo.GIF

For the data you can go here:

http://data.giss.nasa.gov/gistemp/station_data/
 

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  • #189
StuMyers said:
You're implying that all GW data is taken from heat islands, you silly goose.
Really, so errors due to site relocations, instrumentation change, elevation and timing etc.. only apply to urban areas. Why?
 
  • #190
Come on guys, this should be trivial if the data is so ubiquitous.

Find the PR'ed articles which analyse the data and conclude that UHI accounts for most or all of the land-based GW. I'm not qualified to analyse raw data myself, so I want PR'ed papers. No free-lance crackpots.

After that, then the debate will be about whether the data/analysis are reliable.
 
  • #191
For that matter, this may be of interest:

http://www.knmi.nl/~laatdej/2006joc1292.pdf

...These findings suggest that over the last two decades non-GHG anthropogenic processes have also contributed significantly to surface temperature changes...

Sort of industrial UHI processes.
 
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  • #192
Evo said:
If you understand the subject well enough, it shouldn't be too hard to explain it in simplified terms.
On the contrary, I'd say it's incredibly hard and often impossible to explain any subject in simplified terms.
 
  • #193
Art said:
The 3rd possibility being of course that you didn't understand it. Or perhaps you believe ad-hominem attacks are a suitable substitute for reasoned discussion.
Art, this is very simple. If you actually understood the paper, you wouldn't make claims that are verifiably incorrect.

Example: You claimed that the author looked for ways to change the data so as to lower urban temperatures because you believed he couldn't find an easy way to raise rural temperatures. In reality, the adjustments were made to ALL temperatures, and in fact, resulted in a bigger effect on the rural temperatures than on the urban temperatures - exactly the OPPOSITE of what you thought the paper was all about.
 
  • #194
Bystander said:
Now, how much time do you want to waste on the paper, the authors, Oak Ridge, or the archive?

Just caught this. Bystander, I think you're being unfair. The paper in question was a recent submission to arxiv, not an article which has undergone any review. The purpose of arxiv is not to be a source of authority, but rather to look at the bleeding edge of what's being researched (this is the context in which it was referenced). Similar to wikipedia, the arxiv is largely self-editing. You note a mistake, you comment on it. The author then should make a correction, or his work will be removed. I think such a system has it's place, and it's a good one.
 
  • #195
Gokul43201 said:
On the contrary, I'd say it's incredibly hard and often impossible to explain any subject in simplified terms.
I disagree, you can explain a concept in simple terms, you don't have to teach the person the details about it. Humanino, for example, is excellent at explaining very complex concepts in an easy to understand format. Moonbear is very good at explaining complex neurological processes in laymen's terms.

One of the engineers I work with is very knowledgeable but he cannot simply explain what something does, he wants to explain how it works, and uses very technical terms. He'll talk for 15 minutes explaining MPLS, QOS, COS, latency, jitter, native IP, etc... and the customer has no clue what he's talking about, I'll cut in and say "it means that the workers at your Wisconsin office will be able to work with files that are stored on the computer in California as if they were in California". The customer will say "oh, yes that's what I want".

It's like the old joke about the child asking the parent where he came from. The parent pulls out a medical book and starts explaining biological processes and showing pictures of human reproductive organs. The child looks confused and says "My friend Joey came from Chicago..."
 
  • #196
StuMyers said:
Just caught this. Bystander, I think you're being unfair. The paper in question was a recent submission to arxiv
Stu, I guarantee you that you'd have trouble finding someone on this forum that is not completely familiar with arXiv, especially Bystander. :smile:
 
  • #197
Gokul43201 said:
Art, this is very simple. If you actually understood the paper, you wouldn't make claims that are verifiably incorrect.

Example: You claimed that the author looked for ways to change the data so as to lower urban temperatures because you believed he couldn't find an easy way to raise rural temperatures. In reality, the adjustments were made to ALL temperatures, and in fact, resulted in a bigger effect on the rural temperatures than on the urban temperatures - exactly the OPPOSITE of what you thought the paper was all about.
Yes it is very simple, the author wished to show there is no heat island effect on GW by equalising rural and urban temps. There are 2 ways to do this adjust urban temp down and/or adjust rural temp up. The latter probably being the preferred method as it increases the appearance of GW.

The author appears to have used a combination of both methods through the application of ad hoc adjustments.

By choosing 5 categories of inhomogeneities from the numerous available, and note it is the paper itself which states there are numerous possible sources of error, he 'removed' a 0.31 C difference whilst admitting in a sort of obiter dicta fashion various other inhomogeneous factors NOT accounted for can result in a 1 - 2 C differerence even in neighbouring stations!
One unequivocal feature of rural and urban temperatures (Figs. 4, 5) is that whether adjusted for biases or not, there is considerable variability. In the adjusted data the fairly large whiskers are probably due to the localand microscale impacts, which can easily cause a station to be 1 or 2 C warmer or colder than a neighboring station...
Therefore, accurate site-specific adjustments—which, unfortunately, may not actually be possible—might be required to decrease the noise for more precise quantification of the impact of urbanization at each location.

When his possible margin of error is potentially 600% greater than the difference being addressed it is hard to see how he managed to reach such firm conclusions.

Oh but I forgot he had already reached his conclusion before he even started the exercise.
 
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  • #198
Evo said:
Stu, I guarantee you that you'd have trouble finding someone on this forum that is not completely familiar with arXiv, especially Bystander. :smile:

Don't get me wrong. He nicely points out exactly why it's a less authoritative voice than a traditional journal. I'm only saying that doesn't make it useless as a forum.
 
  • #199
Art said:
Yes it is very simple, the author wished to show there is no heat island effect by equalising rural and urban temps. There are 2 ways to do this adjust urban temp down and/or adjust rural temp up. The latter probably being the preferred method as it increases the appearance of GW.

The author appears to have used a combination of both methods through the application of ad hoc adjustments.

By choosing 5 categories of inhomogeneities from the numerous available, and note it is the paper itself which states there are numerous possible sources of error, he 'removed' a 0.31 C difference whilst admitting in a sort of obiter dicta fashion various other inhomogeneous factors can result in a 1 - 2 C differerence in neighbouring stations.

When his possible margin of error is potentially 600% greater than the difference being addressed it is hard to see how he managed to reach such firm conclusions.

Oh but I forgot he had already reached his conclusion before he even started the exercise.

Start at the top. Find a PR'ed study concluding that UHI's are the cause of most or all of the measured land-based GW. Then we can worry about the data/analysis. I looked for such a paper. Couldn't find one. I surely just might have missed it.
 
  • #200
StuMyers said:
Start at the top. Find a PR'ed study concluding that UHI's are the cause of most or all of the measured land-based GW. Then we can worry about the data/analysis. I looked for such a paper. Couldn't find one. I surely just might have missed it.
A new tactic, lose the argument change the subject? :biggrin:

The premise of this thread is that AGW is a fallacy. As a supporter of the AGW theory and a part of the collective consensus you constantly refer to, you should have no problem in rebutting this premise with logic and indisputable facts. So far all you have presented is a dodgy paper by a guy obviously blinded by his bias.
 
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  • #201
Art said:
A new tactic, lose the argument change the subject?

The premise of this thread is that AGW is a fallacy. As a supporter of the AGW theory and a part of the collective consensus you constantly refer to, you should have no problem in rebutting this premise with logic and indisputable facts. So far all you have presented is a dodgy paper by a guy obviously blinded by his bias.

Er, no. Actually, I think you've got a really long road ahead of you, because even if you manage to find evidence that UHI's account for most of the land-based GW, you are going to have a long uphill battle defending the favorable interpretation of the data taken in those UHI areas. I've presented a PR'ed paper. I can present another (Parker, Nature). What can you produce? A free-lance crackpot from Australia?

And, I'm not a part of the consensus. I can speak somewhat authoritatively on some matters of field theory and QGP dynamics. I have no expertise in climate science whatsoever.
 
  • #202
BTW, if I were to claim authority in climate science, then you would be justified in calling the 'argument from authority' fallacy, as I would be trying to impose my expertise in one area, to another.
 
  • #203
StuMyers said:
BTW, if I were to claim authority in climate science, then you would be justified in calling the 'argument from authority' fallacy, as I would be trying to impose my expertise in one area, to another.
Somewhat off topic but hopefully Evo won't mind a small digression
An appeal to authority is a logical fallacy: authorities can be wrong, both in their own field and in other fields; therefore referencing authority does not automatically imply truth.
You don't necessarily have to be the authority yourself to use the appeal to authority argument. In fact when the appellant is himself the authority this is generally referred to as the Proof By Tenure argument.
 
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  • #204
It doesn't imply truth, no. It does however imply that the argument is more likely true, than one given by a non-authority. That's not a fallacy.

I don't think a discussion about the nature of expertise is that far off topic, actually. Not in a political forum.
 
  • #205
I googled your quote to see where it came from. Wikipedia apparently. You seemed to have cut the line short.

An appeal to authority is a logical fallacy: authorities can be wrong, both in their own field and in other fields; therefore referencing authority does not automatically imply truth. However, referencing authority may carry a high enough probability of truth that it be feasible to base decisions on it.
 
  • #206
StuMyers said:
It doesn't imply truth, no. It does however imply that the argument is more likely true, than one given by a non-authority. That's not a fallacy.
I'd agree with that but it still needs supporting as it is not in itself a 'clincher'

BTW I also looked at this souce http://www.don-lindsay-archive.org/skeptic/arguments.html#they_say

The core of the problem with AGW proponents and I mean the climatologists not you, is that they appear to use nothing but the 'Proof By Tenure' argument to rebut all detractors.

Zooming out for a minute from the micro to the macro from what I've read climatologists rely on their models to tell us with great certainty what is going to happen to the planet's climate in 100 years time and yet they still can't accurately model the previous 100 years or even accurately model short term events such as El Nino so if they have errors in their short term climate forecasting, with the butterfly effect, these would magnify exponentially over a period of 100 years to render any such forecast worse than useless. Do you not agree?
 
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  • #207
StuMyers said:
I googled your quote to see where it came from. Wikipedia apparently. You seemed to have cut the line short.
lol No ulterior motive simply that this is what I was rebutting
BTW, if I were to claim authority in climate science, then you would be justified in calling the 'argument from authority' fallacy, as I would be trying to impose my expertise in one area, to another.
The rest was irrelevant to this.
 
  • #208
Art said:
Zooming out for a minute from the micro to the macro from what I've read climatologists rely on their models to tell us with great certainty what is going to happen to the planet's climate in 100 years time and yet they still can't accurately model the previous 100 years or even accurately model short term events such as El Nino so if they have errors in their short term climate forecasting, with the butterfly effect, these would magnify exponentially over a period of 100 years to render any such forecast worse than useless. Do you not agree?

I don't know much of anything about meterology. I do recognize the difference between weather and climate. I don't see them claiming any specific micro-climate or weather changes with 'great certainty', but rather general climate trends over longish (to my lifetime) time scales. It's one thing to say 'it will rain next week' and quite another to say 'it will be a rainy season' and yet another entirely to claim 'raininess will increase over the next century'. A lack of accuracy in one, doesn't necessarily imply a similar lack in accuracy in another.

I'm not entirely impressed by the counter-arguments either. They seem more akin to the Phillip-Morris anti-cancer arguments, or the usual contrarian arguments against evolution or an old Earth. I'm not even sure what your position is. Do you deny that the warming is happening? Do you deny that the warming which isn't happening, is being largely caused by humans?

The anti-GW crowd needs to start competing in the usual scientific realm if it wants to be taken seriously. Do research, get papers published. Don't appeal to pop-media and conservative talk show hosts.
 
  • #209
StuMyers said:
Just caught this. Bystander, I think you're being unfair. The paper in question was a recent submission to arxiv, not an article which has undergone any review. The purpose of arxiv is not to be a source of authority, but rather to look at the bleeding edge of what's being researched (this is the context in which it was referenced).

StuMyers said:
I think you might be underestimating the depth of a modern quantitative science. You're basically describing the level of a lower-division undergraduate. Except on very rare occaisions, graduate-level errors are culled out of papers long before even the review process begins. Just for fun, why not head over to arxiv, and pull a few modern papers at random. See if you think an undergraduate has any REAL hope of finding error, or making some kind of meaningful contribution.


Similar to wikipedia, the arxiv is largely self-editing. You note a mistake, you comment on it. The author then should make a correction, or his work will be removed. I think such a system has it's place, and it's a good one.

You were defending "appeal to authority," and offered three papers as examples of "the depth of a modern quantitative science" and the "authority" you feel "specialists" deserve to be accorded. Your specialists can't label their isotones correctly, and the question the reader is left with at the end of the paper is, "What nuclei were they examining?" "Bleeding edge?" Bleeding the taxpayers. "Unfair?" I can guarantee you there are millions of dollars in diamonds in the Long Island landfill; is it worth anyone's time to mine that landfill? No.

I've "had" to review papers from Oak Ridge. They sat on my desk for a day smelling like week old fish after I'd read them and put together two and three pages of comments and necessary corrections and changes while I made up my mind whether to recommend publication with revisions, or that they be returned to the authors for a complete rewrite; the second case obtained every time.

"Expertise" is NOT self-conferred. Nor is it gained by political acclamation. Nor is it a result of abdication by the scientific community of responsibility to critique work for adherence to established standards for tests of hypotheses. It is not conferred upon people who encyst themselves so narrowly into specialties that they cannot explain their work to the broader community.
 
  • #210
Gokul43201 said:
(snip)I'm making a measurement right now, where the difference between 2 neighboring data points is of the order of the value of each point. So, my error between consecutive points is about 100%, yet I can average over a large number of points and get a resulting error bar smaller than 1%.(snip)

At the same time, you are not changing your instrumentation a hundred times over the duration of the experiment, nor are you changing the experimental design or apparatus configuration a dozen times, nor are you ignoring the majority of the parameters affecting the measured variable. Whole different statistical problem.
 

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