Jones and CRU exonerated

Political Apparatchik-run rags like E&E are of course peer-reviewed - for ideological purity.

When I have some time later this year I should write a totally bogus paper that demolishes AGW in a very scientific and reasonable way, and submit it to them and see what happens.
 
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I'd say it's pretty explicit.
It makes no mention of any bad papers being published or any papers being published without peer-review.

I'm sorry, but your pet journal just doesn't measure up.
It measures up fine,

Energy & Environment is a peer-reviewed interdisciplinary academic journal (ISSN: 0958-305X)
- Indexed in Compendex, EBSCO, Environment Abstracts, Google Scholar, JournalSeek and Scopus
- Found at 43 libraries worldwide, at universities and the library of congress. Including an additional 79 in electronic form.
- EBSCO; Energy & Environment: Peer-Reviewed - Yes, Academic Journal - Yes (PDF)

"E&E, by the way, is peer reviewed" - Tom Wigley, Fellow of the American Association for the Advancement of Science (AAAS)

It is on par with the journal the Discovery Institute started to get ID articles through "peer-review".
Name one publishing company that includes the Discovery institute journal in their list of peer-reviewed publications.

One side is motivated by greed (incidentally, your side), and the other isn't.
You need an education in what "greed" is,

The Virtue of Greed (Walter E. Williams, Ph.D. Professor of Economics)

Greed (1/3) (Video) (12min) (ABC News)
Greed (2/3) (Video) (13min) (ABC News)
Greed (3/3) (Video) (14min) (ABC News)

The rest is simply your continued lies.
 
Ah yes another alarmist smear site,

Sourcewatch

$$$ Funded by The Center for Media and Democracy

- Sourcewatch (Discover the Networks)
These "exposes," which tend to be critical of their subjects, deal predominantly with conservative entities... [...]

As with the online reference Wikipedia, the contents of SourceWatch are written and edited by ordinary Web users. Says SourceWatch: "You don't need any special credentials to participate -- we shun credentialism along with other propaganda techniques." While stating that it seeks to maintain fairness in the profiles and articles appearing on its website, SourceWatch does acknowledge that "ignoring systemic bias and claiming objectivity is itself one of many well-known propaganda techniques." [...]

...The perspectives are mostly leftist; the entries rely heavily on leftist and far-leftist sources.
- Center for Media and Democracy (Discover the Networks)
An anti-capitalist, anti-corporate organization that seeks to expose right-wing "public relations spin and propaganda".

In CMD's view, capitalism generally, and corporations in particular, are the principal root causes of societal ills in the U.S. and abroad. The Capital Research Center, which rates the ideological leanings of nonprofit organizations, places CMD near the extreme far left of the spectrum. The website ActivistCash, which provides "information about the funding source of radical anti-consumer organizations and activists," characterizes CMD as "a counterculture public relations effort disguised as an independent media organization." [...]

CMD was founded by the leftist writer and environmental activist John Stauber, who continues to serve as the Center's Executive Director. Stauber began his activism in high school when he organized anti-Vietnam War protests and early Earth Day events. The co-author (with SourceWatch founder Sheldon Rampton) of six books, Stauber created the now-defunct website Vote2StopBush.org. He is also an unpaid advisor to several organizations, including the Action Coalition for Media Education, the Center for Food Safety, the Liberty Tree Foundation, the Media Education Foundation, and the Organic Consumers Association.

The aforementioned Sheldon Rampton currently serves as CMD's Research Director. A graduate of Princeton University, Rampton was formerly an outreach coordinator for the Wisconsin Coordinating Council on Nicaragua, a group established in 1984 to oppose President Reagan's efforts to stop the spread of Communism in Central America, and currently dedicated to promoting a leftist vision of "social justice in Nicaragua through alternative models of development and activism."

An April 2001 commentary in the liberal publication Village Voice said of Rampton and Stauber: "These guys come from the far side of liberal."
- Center for Media & Democracy (Activist Cash)
The Center for Media & Democracy (CMD) is a counterculture public relations effort disguised as an independent media organization. CMD isn’t really a center it would be more accurate to call it a partnership, since it is essentially a two-person operation.

Sheldon Rampton and John Stauber operate, as do most self-anointed progressive watchdogs, from the presumption that any communication issued from a corporate headquarters must be viewed with a jaundiced eye. In their own quarterly PR Watch newsletter, they recently referred to corporate PR as a propaganda industry, misleading citizens and manipulating minds in the service of special interests. Ironically, Rampton and Stauber have elected to dip into the deep pockets of multi-million-dollar foundations with special interest agendas of their own.
 
When I have some time later this year I should write a totally bogus paper that demolishes AGW in a very scientific and reasonable way, and submit it to them and see what happens.
The editors have been notified.
 
Good! Because they will never know that its from me, and it will be postmarked from a real University. The fictional professor will have a web site at that institution...
The fictional professor will not be listed as part of the teaching staff, they have been notified.
 
Which is why he stated:
"The reconstructed series show considerable variability among themselves. This is true not only for specific differences in temperature but also for the amounts of variability and spectral exponents. However, no matter which reconstruction is used to parameterize an LTP model of natural variability, a trend of 0.61 [qimg]http://www.sciencedirect.com/scidirimg/entities/2218.gif[/qimg]/century for Δt=157 is highly unlikely. Thus if natural variability is to explain the current trend with better than a marginal probability, all reconstructed series must be underestimating natural variability. Furthermore, the variance that has “gone missing” from the reconstructions must be many times greater than the current maximum-variance reconstruction. For example, the second d’Arrigo series, with the greatest chance for natural variability to explain the trend, would need to have over four times its present variance."

How odd that you miss this bit out, my emphasis:

An important limitation of this analysis is the contested reliability of the reconstructed time series, a subject of considerable controversy [12,56]. In addition, the reconstructed series show considerable variability among themselves. This is the case not only for actual temperatures but also, more seriously for this analysis, for the variability observed on different scales. Clearly, they cannot all be right as reconstructions of average NH temperature [13]. Since I have shown that a trend of 0.61 degrees/century forΔt=157 is highly unlikely in every case, for this result to be wrong all reconstructed series must be underestimating natural variability. This, precisely, has been suggested by a number of authors [12,13,56]. Might there be some systematic underestimation of variability, and if so how much? Clearly some variance will have ``gone missing'' from the reconstructions but how much? Obviously this question cannot be answered yet, pending an improvement of our knowledge of the reconstruction process.

Get that? A serious problem with the data, and questions which cannot be answered yet. Furthermore, Halley is very critical of the reconstructions - they cannot all be right. Note that there is nothing to stop them all being wrong though.

Given that you completely ignored this aspect of the authors interpretations, what was your next line:

Ah, now I understand. When reading a scientific paper, one should ignore the author's interpretations and conclusions and focus on the nuances. Quoting the conclusions is cherry-picking. I'll try to remember this next time.

The nuances are pretty important when the conclusions cannot be drawn until serious problems with the data sets are resolved. The statement "Obviously this question cannot be answered yet" would have given most people pause. You are clearly an exception.

And you still ignore the most important point of all - that LTP must be accounted for, and that the vast majority of climate scientists do not. If you endorse Halley, you must endorse this position as well. Yet you conspicuously don't. I'm not surprised: you are capable of parroting certain bits of the evidence, but I've seen no indication that you actually understand what it being discussed.
 
The fictional professor will not be listed as part of the teaching staff, they have been notified.

That's funny... I would think you would be all for testing the honesty of that particular rag. Good thing Sokal never met you on a website...
 
That's funny... I would think you would be all for testing the honesty of that particular rag. Good thing Sokal never met you on a website...

And the funny thing is, this fictional professor already exists, and has a class schedule, and has classes in rooms that do not exist. He's been a running joke with folks at that institution for 30 years... Every so often somebody tries to sign up for one of them, but the classes are ALWAYS full up...
 
Welcome to the real world, Poptech, were things aren't automatic. Of course it's subjective. Someone had to evaluate the journal and decide "no, this ain't fit for listing with us". It's subjective, but based on guidelines. I'm sorry, but your pet journal just doesn't measure up. It is on par with the journal the Discovery Institute started to get ID articles through "peer-review".
Indeed. Here, this is an image you will surely be able to relate to as you endeavor to explain these obvious realities to the ever-persistent Poptech: :hb:
 
You have so far been unable to do so.

I don’t have to. You are the one saying it’s a requirement not I. This places the onus on you to define a valid “objective” quantifiable standard for proving a paper is valid. I’m perfectly happy with “subjective” standards like impact factor and acceptance within the scientific community.

peer-reviewed…

As pointed out simply implementing a referred system doesn’t make a publication worthwhile, and certainly doesn’t make the articles in it worthwhile. Peer review is a necessary but not a sufficient condition, and ISI, SCOUPUS, and the scientific community have decided E&E doesn’t cut it as a scientific journal.


So, this “objective” measure is certainly out the window, now would you care to provide us another?

And reproducible results don't exist.

Past performance is no grunted of future success. IOW no amount of reproducing results will ever prove the next outcome, and any suggestion to the contrary is a logic fallacy. This means, among other things, that no truly objective standard of proof is possible for any scientific theory.
 
And the funny thing is, this fictional professor already exists, and has a class schedule, and has classes in rooms that do not exist. He's been a running joke with folks at that institution for 30 years... Every so often somebody tries to sign up for one of them, but the classes are ALWAYS full up...

Not that it would matter. We already know that E&E reviews can't even catch basic errors in the text like repeating whole paragraphs in the introduction. How on earth are they going to verify that the submissions they receive are real? In fact they routinely publish submissions that are beyond ridiculous like the one that said global warming was because the sun is a neutron star.
 
How odd that you miss this bit out, my emphasis:

Get that? A serious problem with the data, and questions which cannot be answered yet. Furthermore, Halley is very critical of the reconstructions - they cannot all be right. Note that there is nothing to stop them all being wrong though.

Given that you completely ignored this aspect of the authors interpretations, what was your next line:

The nuances are pretty important when the conclusions cannot be drawn until serious problems with the data sets are resolved. The statement "Obviously this question cannot be answered yet" would have given most people pause. You are clearly an exception.

And you still ignore the most important point of all - that LTP must be accounted for, and that the vast majority of climate scientists do not. If you endorse Halley, you must endorse this position as well. Yet you conspicuously don't. I'm not surprised: you are capable of parroting certain bits of the evidence, but I've seen no indication that you actually understand what it being discussed.

Do you have a link to the full paper? It's behind a pay wall for me. I'd like to read the whole thing before responding.
 
Get that? A serious problem with the data, and questions which cannot be answered yet. Furthermore, Halley is very critical of the reconstructions - they cannot all be right. Note that there is nothing to stop them all being wrong though.

Sorry, but we all understand that these reconstructions are only approximations, and some are fairly crude. And the author made that clear. However, his principle finding was that in order for the measured warming to be within the bounds of natural variability, ALL of the reconstructions must be SUBSTANTIALLY UNDERESTIMATING the variability in the climate record.

Given that you completely ignored this aspect of the authors interpretations, what was your next line:
Ah, now I understand. When reading a scientific paper, one should ignore the author's interpretations and conclusions and focus on the nuances. Quoting the conclusions is cherry-picking. I'll try to remember this next time.
The nuances are pretty important when the conclusions cannot be drawn until serious problems with the data sets are resolved. The statement "Obviously this question cannot be answered yet" would have given most people pause.
You are clearly an exception.
You know what I was thinking? Right. You must have ESP. LOL!!! The author discussed the limitations of the data. I am aware of that. I even included a mention of it in the snippet of his paper that I posted.

Believe it or not, all data are flawed; otherwise, doing research would be trivial. It just so happens that all of the reconstructions are on one side: the side of having variances too small to support the conclusion that the recent warming falls within natural variability. And that is all that I've said about what the paper claims.

Remember, I only brought up Halley as a counter to Cohn and Lins. (it's amusing that you don't want to acknowledge problems with Cohn and Lins). This sub-thread is rather academic, and not very interesting. Within the range of natural variability does not necessarily imply that the warming is a natural cycle. Since the mass of the atmosphere is not changing (in any significant way), changes in temperature can only when the heat content changes. Natural variability has natural causes (redistribution of heat) and these sometimes are self-reinforcing, which leads to "memory".
 
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This sub-thread is rather academic, and not very interesting. Within the range of natural variability does not necessarily imply that the warming is a natural cycle. Since the mass of the atmosphere is not changing (in any significant way), changes in temperature can only when the heat content changes. Natural variability has natural causes (redistribution of heat) and these sometimes are self-reinforcing, which leads to "memory".

I would still like to read the whole paper, but basically Cohn and Lins have just reiterated well known facts in statistical terms: the climate changes over time based on a number of factors that have nothing to do with humans, and that climate models aren't perfect.

Whether their statistical work is substantial enough to make the scientific community doubt the physical evidence has been definitively answered: nope.
 
It makes no mention of any bad papers being published or any papers being published without peer-review.

No, but it is explicit that she selects papers for publishing according to her political ideology, not because of the scientific value of the paper.

It measures up fine,

According to ISI it doesn't.

Energy & Environment is a peer-reviewed interdisciplinary academic journal (ISSN: 0958-305X)
- Indexed in Compendex, EBSCO, Environment Abstracts, Google Scholar, JournalSeek and Scopus
- Found at 43 libraries worldwide, at universities and the library of congress. Including an additional 79 in electronic form.
- EBSCO; Energy & Environment: Peer-Reviewed - Yes, Academic Journal - Yes (PDF)

Don't know why this is so hard for you to understand, Poptech. Yes, the journal has a limited refree system. It just doesn't measure up to other journals, and as such, cannot be trusted in the same way.

Name one publishing company that includes the Discovery institute journal in their list of peer-reviewed publications.

How is that relevant?

You need an education in what "greed" is,

No, I know very well what it is, and the denial industry is inundated with it.

The rest is simply your continued lies.

Only one liar here, Poptech, by design or by accident: You.
 
Sorry, but we all understand that these reconstructions are only approximations, and some are fairly crude. And the author made that clear.
First: no need to apologise. We all make mistakes. Some of us try to learn from them, though.

Secondly: he didn't say they were "fairly crude". He pointed out there was evidence of systematic bias and that some of them must be flat wrong. Again, your spin will doubtless endear you to believers, but try reading the text.
However, his principle finding was that in order for the measured warming to be within the bounds of natural variability, ALL of the reconstructions must be SUBSTANTIALLY UNDERESTIMATING the variability in the climate record.
And he made it quite clear in his paper that there is a scientific basis for believing they all do just that, and that until those questions are answered the conclusions that you want to draw cannot be drawn.

You know what I was thinking? Right. You must have ESP.
No, I pointed out that the inference you made required you to entirely miss what Halley described as "obvious". I'm not using ESP, but this thing called logic and reasoning. It may seem like ESP to you if logic and reasoning is alien to your way of thinking.

The author discussed the limitations of the data. I am aware of that.
Yes, the author discussed the limitations of the data, and observed that the conclusions you want to draw were not yet possible. But keep spinning

I even included a mention of it in the snippet of his paper that I posted. If you didn't catch, maybe you might want to consider a remedial reading class.
No, your quote mine was not an honest admission of the problems with the data.

Believe it or not, all data are flawed; otherwise, doing research would be trivial.
Thank you for the meaningless platitude. And no, even if data were not flawed, research would still be needed. It would just be easier.

It just so happens that all of the reconstructions are on one side: the side of having variances too small to support the conclusion that the recent warming falls within natural variability. And that is all that I've said about what the paper claims.
And it is the statement "falls within natural variability" that cannot be drawn, because there is another possible conclusion: that the variance in the reconstructions are biased.

You see, this is how science works. When there are two possible conclusions that can be drawn, both of which are supported by the literature, you can't just ignore the one you don't like very much. You have to acknowledge either could be right (and, likewise, either can be wrong).

Bias noise is a "flaw" (in your terminology) which can result in all the reconstructions being on one side. This is not hard to understand, which is why Halley mentions it in his paper and states that it is "obvious". Until you can rule out this conclusion, you cannot rule out the very real possibility that this is the cause of the discrepency.

And that ignores the fact that just changing the instrumental version halves the magnitude of the measured effect. Any decent physicist would be concerned if just changing the version of the data had such a profound impact on their results. Of course, if you are seeking confirmation, then you just ignore this problem.

Remember, I only brought up Halley as a counter to Cohn and Lins. (it's amusing that you don't want to acknowledge problems with Cohn and Lins).
I can't help it if you don't understand what Cohn and Lins were pointing out. They acknowledge the limits of their analysis in their paper. Just like Halley does. These are all good papers; but as with all advocates, you want to create a ludicrous polemic out of it.

This sub-thread is rather academic, and not very interesting.
Funny how things become "not very interesting" when you ignore the content of the papers so clearly. You ignore the nuances and caveats in both the Cohn and Lins paper and the Halley paper. Having ignored all of the nuance, you use this to claim one is wrong and one is right. The nuance is critical to understanding the papers. When you eliminate it, you are engaging in pointless advocacy and polemics, not science.

Within the range of natural variability does not necessarily imply that the warming is a natural cycle. Since the mass of the atmosphere is not changing (in any significant way), changes in temperature can only when the heat content changes. Natural variability has natural causes (redistribution of heat) and these sometimes are self-reinforcing, which leads to "memory".
More pointless hand waving demonstrating you don't understand the topic at hand. The hydro cycle is well known to exhibit LTP, and has a profound affect on that redistribution of heat (not just around the globe, but to and from space). This behaviour does not require a memory (self-similar chaotic attractors, for example, exhibit LTP with no memory whatsoever).

If you understood the topic, you wouldn't make these mistakes. If you understood the topic, you wouldn't misrepresent papers because you don't get the nuance.
 
Get that? A serious problem with the data, and questions which cannot be answered yet. Furthermore, Halley is very critical of the reconstructions - they cannot all be right. Note that there is nothing to stop them all being wrong though.

Alright, having read the paper I find it incredible that you think any of the data supports anything Cohn and Lins Argued. From literally the next sentence after you cut off the quote:

Since I have shown that a trend of 0:61 =century fort D 157 is highly unlikely in every case, for this result to be wrong all reconstructed series must be underestimating natural variability. This, precisely, has been suggested by a number of authors [12,13,56]. Might there be some systematic underestimation of variability, and if so how much? Clearly some variance will have ``gone missing'' from the reconstructions but how much? Obviously this question cannot be answered yet, pending an improvement of our knowledge of the reconstruction process. Therefore, it is worth asking how much larger should be the variability of the reconstructions in order that the observed trend be consistent with a purely natural process. Table 2 gives the ``threshold of insignificance'' for each reconstruction. This is the factor by which each reconstruction must be multiplied before there is a 5% chance of observing large slopes (> 0) in a sequence of length 157 years. These results were found by multiplying by an increasing factor, and repeating steps (a)(g) above until p  0:05. For example, the variance of the dArrigo2 series (which has the highest probability in Table 1) should be 4.3 times larger than it is, to explain the trend in CRUTEM3 (0:0061=year) and 2.7 times larger to explain the trend in TaveNH2v (0:0046=year).

Yes, there are problems with climate reconstructions, shocking, but those problems aren't remotely significant enough to cast doubt on the broader conclusions.

This analysis of the current rising trend in the temperature of the Northern hemisphere shows that it is very difficult to explain the trend in terms of natural variability, even if long-term persistence is active. Only one of the plausible models of LTP, that for the second series of d'Arrigo et al. [ 9], is capable of producing trends of size 0:61 =century more than once in 10,000 replicates.

From the conclusion:

The most important issue remaining, and probably the most important limitation of this paper, is that concerning the reliability of the reconstructions as indicators of past climatic variability. The reconstructed series show considerable variability among themselves. This is true not only for specific differences in temperature but also for the amounts of variability and spectral exponents. However, no matter which reconstruction is used to parameterize an LTP model of natural variability, a trend of 0:61 =century fort D 157 is highly unlikely. Thus if natural variability is to explain the current trend with better than a marginal probability, all reconstructed series must be underestimating natural variability. Furthermore, the variance that has ``gone missing'' from the reconstructions must be many times greater than the current maximum-variance reconstruction.

This paper basically validates another criticism of the Cohn/Lins argument from Rybski (I haven't read that whole paper, can't get past the magical pay-wall).

D. Rybski, A. Bunde, S. Havlin, H. von Storch, Geophysical Research Letters 33 (2006) art. no. L06718.

Overall, this paper underlines the importance of LTP models in climate and in particular their application to the attribution problem. It strengthens the findings of Rybski et al. that it is very difficult to explain the current global rise in global temperature through the agency of a natural LTP process. In conclusion, even accounting for the effects of LTP, non-stationarity, aliasing, uncertainties in estimating exponents and issues of variability missing from reconstructions, from a statistical viewpoint it still seems unlikely that the modern instrumental trend can be explained by natural agencies.

Again, Cohn and Lins may ultimately help improve models with the criticism, but they're no where near casting doubt on AGW from a statistical perspective, much less a physical one.
 

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