Search This Blog

Showing posts with label denial. Show all posts
Showing posts with label denial. Show all posts

Saturday, June 15, 2013

Declared persona non grata at wattsupwiththat.com

Update, 07/07/2013: See Anthony Watts' comment below and my reply.

-----
I just have tested the new approach, announced in April by Anthony Watts who is host of the blog, to the treatment of comments at wattsupwiththat.com, to see whether anything has changed for me. I commented on an article with the title "No significant warming for 17 years 4 months" by the notorious Christopher Monckton. Well, I tried. This is the result:


Thus, the only change for me is that me being banned is official now. They want to be more among themselves, without being too much interrupted by someone informed rebutting their pseudo-science. It is like with a cult. This is Anthony Watts' big change. I am certainly not the first one who actually works in the field of climate science and who got declared persona non grata over there. I feel honored.

Here is what I had submitted in reply to Monckton's article:

----- snip -----
Anthony Watts seems to think this article posted under the title "No significant warming for 17 years 4 months", written by Christopher Monckton has an important message to deliver to have it put as sticky first post on his blog for a number of days. But with closer examination, it is only the x-th repetition and variation of the "skeptic" talking point about the "global warming stop/pause" or "no warming", observed allegedly for x-number of years (the x varies according to convenience).

Mr. Monckton asserts in his article right away in the first paragraph, that "there has been no global warming statistically distinguishable from zero for getting on for two decades."

Now we are already up from 17 years and 4 months to alleged "two decades", which would make it 20 years, for which there hadn't been any warming that was statistically distinguishable from Zero, according to Mr. Monckton. Why not boldly claim "two decades", if he is at it, right?

On what does Mr. Monckton base his assertion about the alleged lack of warming for > 17 years? He bases this assertion on the fact that the temperature trend in the HadCRUT4 data set does not exceed the 95% statistical significance threshold. As correct this fact is, technically, it's also the point where Mr. Monckton misleads the audience. He equalizes a temperature trend, which does not pass the 95% significance threshold when a statistical test is done with "no warming" at all. And this is just jumping to conclusions.

Let's examine the trend since the start of 1996. There is a tool at the Skeptical Science blog, with which this can be done for the major temperature data sets: http://www.skepticalscience.com/trend.php

HadCRUT4 shows a trend with a 2*sigma (=2*standard deviation, which is equal to about 95% statistical significance threshold) of 0.089+/-0.118 Kelvin/decade. Does this mean this warming is not distinguishable from Zero, generally, because the trend was smaller than 2 sigma? No, it does not necessarily mean that, because it is still possible that the trend exceeds a lower significance threshold.

So, let's check that. The trend of 0.089 in the HadCRUT4 data since the start of 1996 equals to about 1.51*sigma. The 80% threshold of statistical significance is about 1.28*sigma. Thus, even though the 95% threshold has not been exceeded (yet) since the start of 1996, one can distinguish the temperature trend in HadCRUT4 from Zero with more than 80% statistical significance. The probability to err is less than 20%. The other data sets, except for RSS that deviates to the cold side, show similar or higher warming trends since 1996, compared to HadCRUT4 (e.g., Spencer and Christy's UAH data: 0.12+/-0.2 Kelvin/decade). The satellite retrieved data have larger 2 sigma intervals, though. There is a larger interannual variability in the troposphere temperature data compared to the surface temperature data.

BTW: Even if the temperature trend was not statistically significant even at 1 sigma, this would not allow the conclusion that there was "a global warming stop/pause", since non-detectability of a trend in a time series, which is composed of trend and fluctuations is not sufficient to conclude absence of the trend in the time series. This is particularly true in this case, since there is a multi-decadal warming trend going back to the mid 70s, which is statistically significant with more than eight sigma in the surface temperature records.

Another point would be that the atmosphere is one thing, and not the major component regarding global warming. The oceans have continued to warm in the time period during which global warming allegedly has "stopped/paused". About 90% of the additional energy from the radiative perturbation due to increasing greenhouse gases in the atmosphere goes in the ocean. The ocean releases a part of this accumulated energy into the atmosphere over time. This energy release is not a linear process. A large part of this energy is released during El Ninos. And the ice caps at both poles of the planet (that includes the glaciers) have continued to melt. No one should have missed the melting trend of the Arctic sea ice, which has even accelerated over the last decade. These are strong indicators that global warming has continued also in recent years, contrary to what "skeptics" want to make believe.

In summary, Mr. Monckton's assertion of "no warming" for > 17 or even 20 years is false. It does not have any scientific validity, because it is not based on empirical, statistical evidence. And it ignores other indicators for global warming than the tropospheric/surface temperature trends.

Another assertion by Mr. Monckton is about something he calls "Dr. Santer's 17-year test", according to which "models may have failed", because the temperature trend hadn't exceeded the 95% threshold. Now, one could expect that Mr. Monckton provides some proof of source for this assertion about such a test, allegedly stated by Ben Santer. However, the link he provides leads only to another article in this opinion blog here, which was obviously not written by Ben Santer. So, is it the link to the one press release in the other article?
https://www.llnl.gov/news/newsreleases/2011/Nov/NR-11-11-03.html

The press release states something that refers to 17 years. It states:

"In fingerprinting, we analyze longer, multi-decadal temperature records, and we beat down the large year-to-year temperature variability caused by purely natural phenomena (like El NiÃ'±os and La NiÃ'±as). This makes it easier to identify a slowly-emerging signal arising from gradual, human-caused changes in atmospheric levels of greenhouse gases," Santer said.

The LLNL-led research shows that climate models can and do simulate short, 10- to 12-year "hiatus periods" with minimal warming, even when the models are run with historical increases in greenhouse gases and sulfate aerosol particles. They find that tropospheric temperature records must be at least 17 years long to discriminate between internal climate noise and the signal of human-caused changes in the chemical composition of the atmosphere.


The talk in the press release is about the fingerprinting method applied by Santer. Regarding this method, it is said that one needs at least 17 years of observed tropospheric temperature data to detect the human-caused warming signal. However, there is no statement whatsoever in the press release according to which a lack of 95% statistical significance for more than 17 years meant that the model had "failed".

I actually have read Santer et al.'s paper (doi:10.1029/2011JD016263), I suspect, unlike Mr. Monckton. There is nothing in the original paper either that says anything about such a test for model predictions of the kind as asserted by Mr. Monckton. Apparently, Mr. Monckton has just made something up here, regarding the alleged "Dr. Santer's 17-year test" for model predictions using the 95% threshold of significance in the observed data.

Also, I seem to have a different understanding of the English language compared to many "skeptics", because, in my world, "at least" marks a lower boundary, whereas many "skeptics" seem to think that "at least" has equal meaning to "at most".

As for Mr. Monckton's assertion about the alleged IPCC predictions regarding the temperature increase since 2005. Mr. Monckton writes:

It is better to focus on the ever-widening discrepancy between predicted and observed warming rates. The IPCC’s forthcoming Fifth Assessment Report backcasts the interval of 34 models’ global warming projections to 2005, since when the world should have been warming at a rate equivalent to 2.33 Cº/century. Instead, it has been cooling at a rate equivalent to a statistically-insignificant 0.87 Cº/century:

Mr. Monckton asserts here that the IPCC had predicted the temperature would nearly linearly increase by 0.0233 Kelvin/year since 2005, and because the temperature in the real world had behaved differently, the model predictions were wrong. I can't call this claim by Mr. Monckton anything else than absurd nonsense. Mr. Monckton just takes the model ensemble average calculated from many individual model simulations and interprets this as a prediction of how the temperature will behave in the real world. Of course, the ensemble mean does not show the same variability as the temperature in Nature, because it's a mean! Nature only provides one single realization of all possible realizations for the same boundary conditions in a chaotic system. Each individual model simulation is like a single possible realization. It is nowhere predicted by anyone that the one single realization from Nature would follow the model ensemble mean from year to year, or even from decade to decade. A proper comparison, for instance, would be to take the full range of all model simulations, among which, BTW, there are some that actually show a "cooling" over the same time period as well, obtain the 95% range spanned by the model simulations, and then see whether the observed temperature record lies within this range, or marches outside of the range. Mr. Monckton has not done that. According to the real Figure 11.33a in the leaked draft of the AR5 report, the observed global mean surface temperature still lies within the range of the model simulations, although near the lower end.
----- snip -----

Tuesday, February 12, 2013

What got me snipped from wattsupwiththat.com - 7

More than a week has already passed. Thus, it is safe to assume my following comment to the smear post by Anthony Watts against William Connolley got vanished back then after submission to Watts's blog. Here is my comment:

----- snip -----

Anthony Watts wrote:

"Wikipedia climate fiddler William Connolley is in the news again"

"in the news again" means here, Kopp-online, one of worst garbage publishers, which is known for spreading esoteric and pseudo-scientific views, conspiracy fantasies and outright lies, in the German language online world, published some dreck about Connolley, an opinion article filled with lies, filled with assertions not backed up with anything, filled with innuendo and conspiracy fantasy. Then the author quotes and references his own Kopp-article in his own blog, which then is quoted and referenced by Anthony Watts here. And soon, it likely is going to be further spread all around the "skeptic"-blogosphere. This is how some "news" are being created.

Unbelievable but true: The Wikipedia umpire on Climate Change was a member of the UK Green Party and openly sympathized with the views of the controversial IPCC. So it was not a referee, but the 12th Man of the IPCC team.

I’m not sure how accurate the translation is, but it suggests he was somehow part of the IPCC “short list” team.

What is "the IPCC 'short list' team"? The central committee of the evil "AGW hoax" conspiracy?

No, it means something else here. It's a sports metaphor, through which it is asserted that Connolley lacked objectivity as an author or administrator of Wikipedia because of his former Green Party membership and because "he openly sympathized with the views of the controversial IPCC".

"he openly sympathized with the views of the controversial IPCC". This statement is obviously derogatorily meant, but it comes as pure innuendo. What is this even supposed to mean? What are the alleged "views of the controversial IPCC", with which he "openly sympathizes"? The scientific views on climate change of mainstream climate science, as compiled and synthesized in the IPCC report? Or what else is meant?

So, people who agree with the mainstream views in a scientific field should not write or edit articles about topics in the field in an encyclopedia? And if they do anyhow, it's just "unbelievable"! How dare they!

It's really an irony that the crowd here is ranting about Wikipedia, and at the same time is taking something at face value, which comes from a garbage source like Kopp-online, as soon as it seems to confirm the preconceived views. Anyone who values science and truth should stay far away from such a source, though.

----- snip -----

Thursday, January 31, 2013

What got me snipped from wattsupwiththat.com - 6

This time a comment of mine, which I had submitted on January, 24, 2013, in reply to the posting "Burt Rutan: 'This says it all and clear'" got vanished or never appeared at Anthony Watts's blog "Watts Up With That?". My reply listed some major flaws of the posting. It is one of the many examples how fake skeptics lie using cherry picked data and flawed statistics. I addressed this pseudo-scientific approach also in the post "How to create a false 'global warming standstill'".

Here is the comment:

----- snip -----

Three major flaws in the post:

1. Cherry picking of data intervals and the data set to support the desired message.

2. Drawing scientifically invalid conclusions from changes in limited data, which are not statistically significant.

3. Straw man argumentation, where something is being "refuted" that is not being stated (as if any climate scientist has claimed that CO2 was the only factor influencing the global atmospheric or surface temperature record, and that there was a linear relationship between CO2 emission or CO2 mixing ratio in the atmosphere and observed temperature record).

But the crowd here is generally applauding. So much for the skepticism of "skeptics".

I don't know for what purpose Mr. Watts posted this. But if the purpose has been to expose what I am seeing here, it is a full success.

----- snip -----

Friday, January 25, 2013

How to create a false "global warming standstill"

  1. One choose a data set of global tropospheric (e.g., UAH, RSS) or surface temperature estimates (e.g., NASA/GISS, NOAA/NCDC, HadCRU), preferably one that has the strongest bias to the cool side.
  2. One finds a time interval in the data set, which is sufficiently short enough so that a statistical trend estimate does not provide any statistically significant warming trend. The large variability within the data on the short time interval makes sure of this. Even better, if the statistical estimate of the trend is close to Zero or negative. In latter case, one can claim "global cooling!" Statistical significance does not matter in this case. It only matters, if it comes to denying a global warming trend.
I have done this exercise for the RSS data of the lower troposphere temperature. And voila! There has not been just one global warming "standstill". There has been even two over the last 34 years, I have discovered using the woodfortrees tool.

According to this, the first "global warming standstill" occurred from 1979 to 1993 (inclusive). The statistical estimate (using this neat trend calculator at the Skeptical Science blog, which is based on [1]) of the trend is 0.012 Kelvin/Decade. The 2-sigma (about 95%) confidence interval is +/-0.229 Kelvin/Decade. As one can see, it is quite large. Then there is the recent "global cooling" from 1997 to today with a trend of (-0.003+/-0.229) Kelvin/Decade. No statistically significant cooling, but what "skeptic" is going to care about that, as long as "cooling" can be claimed.

What about the small interval between the "global warming standstills"? The positive trend estimate in this small time interval is not statistically significantly different from a Zero-trend either: (0.164+/-1.689) Kelvin/Decade. Therefore, since none of the separate time intervals shows any statistically significant global warming, the brave "skeptic" concludes, there has not been any global warming for 34 years at all! It is all a lie, a big global warming hoax! Invented by sinister forces for their own mean purposes.

What now? Now we repeat the statistical trend estimate for the whole time interval from 1979 to today:


The statistical estimate for the trend over the whole time interval is (0.133+/-0.073) Kelvin/Decade. There is a clear global warming trend, which is statistically significantly different from a Zero-trend by more than 3-sigma, which means that the probability to have a false positive signal relative to the noise in the data within the time interval is less than three out of a thousand.

No global warming and presence of global warming cannot be both true at the same time. A statement and its negation cannot be true at the same time. One of the two approaches must be wrong. And it is not the second one.

What does this teach us?
  1. One can get easily fooled by noise, if one chooses too short time intervals of the data in time series analysis. In any time series, once always can find a time interval short enough, for which the noise becomes so large it masks any trend in the data series.
  2. A failure to find a statistically significant trend in a time series does not refute the hypothesis of the presence of such a trend, since one cannot logically exclude the possibility that the lack of statistical significance is only due to a too small sampling size of the data.
  3. Empirical, statistical evidence for a true global warming "standstill" or at least for a trend change could be provided by showing that the trend over the recent shorter time interval is statistically significantly different from the statistically significant warming trend that has been observed over the whole of the recent decades. This is not the case for the RSS data set above (and neither for any of the other mentioned ones). The 2-sigma interval for the RSS temperature data since 1997 is +/-0.229 Kelvin/Decade. The multi-decadal trend from 1979 to today lies well within its boundaries. Therefore, claims about a "global warming standstill", using too short time intervals from these data sets and flawed conclusions from statistical trend analysis, do not have any scientific validity.
[1] Foster, G. and Rahmstorf. S, 2011, Global temperature evolution 1979–2010, Environ. Res. Lett. 6(4), 044022, doi:10.1088/1748-9326/6/4/044022

Tuesday, September 25, 2012

What got me snipped from wattsupwiththat.com - 3

"The reason is that WUWT does not censor comments like alarmist blogs do. It allows true freedom of speech, thus the grain of truth is winnowed from the chaff of propaganda; readers can make up their own minds, and arrive at reasonable conclusions based on the facts presented."
(Smokey aka David B. Stealey, moderator of the blog wattsupwiththat.com, http://wattsupwiththat.com/2011/09/28/comment-of-the-week-2/#comment-754850)

I continue my series that documents comments that are apparently not liked, and therefore vanished at the opinion blog wattsupwiththat.com, which is presented by blog host Anthony Watts as "The world's most viewed site on global warming and climate change" and which promotes denial of anthropogenically caused global warming. The comment was in reply to the claim by regular guest author Bob Tisdale, made in his posting "Tisdale asks: Hey, Where'd The El Niño Go?". Mr. Tisdale asserts global warming was caused by the natural phenomenon El Niño.  The El Niño/La Niña pattern (or ENSO - El Niño/Southern Oscillation) is a major mode of ocean variability in the tropical Pacific. It influences the weather in many parts of the world through so called teleconnections. Here is my comment to this claim. The comment also included a couple of questions for Mr. Tisdale:

----- snip -----
How is El Nino supposed to cause global warming? El Nino/La Nina is a major mode of natural variability with warm and cold phases, but global warming is a long-term trend. And the temperature of the upper ocean layers is not an independent climate driver. It's a dependent variable, so it can be the first cause that explains global warming. Claiming a warming of the upper ocean layers was the cause of global warming is just circular reasoning, since warming of the upper ocean layers is part of global warming.

Here are the annually and globally averaged anomalies of the surface temperature according to the GISS analysis relative to the average of the reference period 1951-1980:

For the decade of 1991 to 2000:
0.36, 0.14, 0.15, 0.25, 0.4, 0.3, 0.42, 0.59, 0.34, 0.36; mean+/-std = 0.331+/-0.133
For the decade of 2001 to 2010:
0.49, 0.58, 0.57, 0.49, 0.62, 0.56, 0.59, 0.44, 0.57, 0.63; mean+/-std = 0.554+/-0.061
(http://data.giss.nasa.gov/gistemp/graphs_v3/Fig.A2.txt)

What El Nino events are supposed to have caused and how are they supposed to have caused it that the 10 year average of the global temperature anomaly of the period 2001 to 2010 was 0.22 K higher than the 10-year average of the period 1991 to 2000? How does El Nino cause the long-term increase in the ocean heat content?

----- snip -----

Update 09/25/2012, at 9:27 AM:  The statement above, "It's a dependent variable, so it can be the first cause that explains global warming", was supposed to say "It's a dependent variable, so it can't be the first cause that explains global warming" (h/t Al. Thank you for spotting this and notifying me). Comments still don't work.

Update 09/25/2012, at 9:32 AM: Posting new comments actually works. Old comments have not been imported yet.


Sunday, August 26, 2012

Fake Skeptics Versus True Skeptics

Since I have previously used the term Fake Skeptics, perhaps some explanation is required what is meant with this term. I am distinguishing between fake skeptics and true skeptics regarding scientific debates, based on the form of the arguments and the motivation behind the arguments. The phenomenon of a, if not necessarily large, but the more noisy group of people who act as fake skeptics is for instance particularly present regarding the findings in the field of climate science, since those findings have become highly politicized due to their implications for the human civilization and economics and politics all over the planet.

Fake Skeptics do not argue on the grounds of science, they mostly use non-scientific arguments to attack the findings of science. They misrepresent the science, use logical fallacies, acknowledge and interpret empirical data only very selectively, e.g., by cherry picking those, insofar those appear to be in support of their views. The thinking is governed by cognitive biases too a large degree. The driving force is not primarily scientific curiosity, and the motivation for arguing against findings of science is mostly not just some scientific disagreement. Findings from scientific research are rejected, because those findings are in contradiction to preconceived economical, political, ideological, or religious views. Consequently, since the scientific arguments are lacking, fake skeptics often resort to attacks not just against the results from research, but also against the scientists who have presented those results. Scientists who are presenting results from research which are not liked are being defamed and smeared. Accusations, insinuation, or the use of innuendo against those scientists, asserting or suggesting fraud and malicious manipulation of data and results from scientific studies are common. Resort to conspiracy theories fantasies is common too, which is explainable. How else can the worldview be made whole, if most scientists who work and publish in the field say something else? The ones who act as fake skeptics are mostly people who are not directly involved in the area of research the findings of which are being rejected. Since scientific arguments and rigorousness are lacking, fake skeptic arguments are usually not presented in scientific publications in specialist journals of the field due to the filter mechanism of the peer review process. Instead, they are mostly found in other venues, nowadays especially in Internet opinion blogs, since it is not mandatory in those to uphold strong scientific standards.

True Skeptics are, in contrast, driven by scientific curiosity and they wish to acquire knowledge about the cause-effect relationships that govern the workings of the object or system that is being studied and debated. They argue based on science. If they do not agree with findings presented by scientists, they do this using scientific arguments. They embrace the scientific method and test alternative explanations, if they hypothesize those, against empirical data. True skeptics present their alternative hypotheses and theories, once they have been worked out sufficiently, in the peer reviewed specialist journals of the field, i.e., they uphold for themselves high scientific standards. Personal attacks against scientists who are presenting alternative, competing hypotheses and theories are not being considered as legit arguments against those hypotheses and theories. Professional scientists need to be true skeptics in their daily work. It is part of their professional profile.