Attributed to NEIL BROWN, December 26, 2009

UNLIKE most people, who think Copenhagen was a failure, I think it was a great success. It has preserved the golden rule of international diplomacy.

Years ago, when I was a young fellow and started to go to international conferences, an old hand who was about to retire took me aside. ”I’ll be shoving off into retirement soon,” he said, ”so I thought I might pass on the golden rule of international conferences.”

I was fascinated. I was sure he would say I should always pursue noble objectives, lift up the downtrodden masses of Africa and Asia, stamp out disease and poverty and generally bring peace to the world. Alas, no.

”The most important item on the agenda at any international conference,” he resumed, ”is to fix the date of the next meeting – and of course the location.”

However – and it was a big however – if a conference succeeded in wiping out poverty or pestilence, there would be no prospect of trying to go to another conference the following year on the same subject. Concentrating on the date of the next conference would guarantee poverty and pestilence would still be there the next year and would provide the excuse for another year’s travel, entertainment, spending other people’s money, passing pious resolutions and generally being self-important, all of which are the only reasons for being in politics or diplomacy.

I soon learnt that seasoned players on the international scene knew very well the vital importance of the golden rule. For example, Sir Owen Dixon told me that when he was appointed the first UN troubleshooter on Kashmir, he went to New York to recruit an assistant. Someone recommended a young man in the UN building who, believe it or not, actually had the job description ”to bring peace to the world”.

”Do you like your job?” Sir Owen asked. ”Well, at least it’s permanent,” he replied. This young man, who had a stellar career at the UN thereafter, was right, because the intractable problem of Kashmir has, by definition, still not been solved and in the intervening years has provided immense fodder for studies, working groups, theses, working breakfasts, dinners, lunches and, of course, international conferences.

Statesmen and politicians did not achieve all of this by solving the problem of Kashmir; they did it by failing and by making sure that next year the crisis would be the gift that keeps on giving.

There was also a secret protocol to the golden rule, shielded from the prying eyes of the public as far as possible – to make sure that the location of the conference was somewhere nice, for example, fleshpots such as Casablanca, holiday spots such as Bali or ski resorts such as Davos.

The proof of the pudding is, of course, in the eating. Thus, despite the fact that almost everyone says that Copenhagen was a success because it narrowly avoided being a failure, the cognoscenti know it was a great success because it was such an appalling failure.

First, climate change is as bad as it ever was. None of the weasel words of progress and achievement about keeping temperatures down can conceal the good news that the whole thing was a disaster.

If the alarmists are right, climate change can only get worse. If they are wrong, the issue still is likely to have such life in it that it could last as long as Kashmir before the truth dawns.

Second, since Kyoto and again since Bali, we were told incessantly that Copenhagen was the last chance to prevent the world being plunged into a watery grave. Everyone was going to Copenhagen in the belief that it was a last chance to save the planet.

When I heard this, I mourned for the international political and diplomatic brotherhood of which I was once a part; they clearly were not going to be able to stretch climate change beyond Copenhagen as the excuse for more conferences, new taxes, tougher and more complicated laws and the perpetual extortion of money from poor workers in rich countries to rich kleptomaniacs in poor countries that foreign aid has become. Some other issue would have to be found.

Fortunately, this has turned out not to be the case. Mercifully, climate change will be there for at least another year to take its vengeance on a profligate and decadent world. It will provide the excuse for conferences next year and for years beyond. So also is the secret protocol intact: conferences on climate change will never be held anywhere near Darfur or Bangladesh.

Neil Brown is a barrister and former member of Federal Parliament, h/t to Geoff Sherrington.

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This site since 2006 has dealt with current scientific issues, through feedback or drawing attention to articles — perhaps even your own! We prefer articles that show a fascination with evidence from numbers — that share the passion — and welcome critical feedback as a path to knowledge.

The range of topics considered is wide, whether it be stock predictors, maths, statistics, ecology, climate, betting systems or money, algorithms for predicting things or automated trading systems for FOREX. Prediction; how to, and how not to do prediction, this blog is to help people to predict better.

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Validation of climate models is like finding someone to cement your drive.

You ask one contractor, and they say they can do it, sometime between now and Christmas. That’s a high level of uncertainty.

You ask another, and they say they can do it, but it’s their first time. That’s a low level of skill.

You ask another, and they say that they will do it, but the result is not going to be any better than what you have already, or may even be worst. That’s an honest vendor, and a product not ‘fit-for-use’.

Model validation is very obvious when you put it in a familiar context. There is a level of service you expect from the money you have to spend. Any public servant involved in the procurement of services faces a similar situation to concreting one’s drive. Due diligence requires a check that models are fit-for-purpose.

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As I write this, my wife of 46 years is in intensive care fighting to live. She is there partly because of bad medical science and partly because of what had become a widespread syndrome in many scientific disciplines, the demonization of a person or a concept by people who can be wrong.

My wife does not provide the best example of demonization, but it is current, motivational and recent and on my mind. Please excuse me if I become too personal. The important part is not the personal part. It is the insidious danger of demonization.

I am a chemist, with a B.Sc. and part-time honours, chemistry major, from the University of Queensland, Australia. I also did a couple of years of aero engineering before a car crash curtailed further flying in the Air Force. My career covered many aspects of science, some engineering and much politics at the end. In retirement I can draw on a diverse set of experiences, but can also appreciate points of the philosophy of science. Mostly, that only comes with age and experience.

“Demonisation” is not my term. Maybe it originated with alcohol, the “demon drink”. It is now in fairly wide and expanding use. It was used a few years ago in climate circles to describe CO2 as a troublesome compound for all people, probably before the facts were complete. More recently, it has been used in a people context, as in the demonization of denialists.

Scientists to whom the demon label is attached can have a harder time than they should. In the case of Colleen, I was demonised by the general physician in charge and by senior nursing staff because I consistently told them that they should look beyond the easy diagnosis they had made. When you know a person for nearly 50 years, you can detect changes that are not so obvious to the casual observer, but then the doctor has the training and his word should be accepted. As it turned out, Colleen had a diagnosis of post-operative constipation following a repair of a broken hip – not an uncommon happening. What had really happened was that she had had an earlier colonoscopy where a cut had been made and marked with methylene blue die in case follow-up was need. This had weakened the bowel wall. Several days of large doses of morphine had dehydrated her and the combination resulted in a blocked and perforated bowel, the hole about an inch in diameter, with a couple of pounds of faecal material mingled with her other abdominal organs.

It was necessary for me to be quite forceful of expression for several days before the correct tests were done and the problem – perhaps then 6 days old – was rectified by lengthy surgery. This demonised me in the eyes of some of the medical profession involved. A lay person cannot diagnose, only a doctor can do that. But, unless I had persisted I would now no longer have a wife. Experience, observation, open mind, thinking about the evidence, reinterpretation, explaining every little observation, insisting on more data – these were the life-saving ingredients.

In my career I have met demonization several times. We inherited a site where lead batteries had been recycled and there was residual lead in the soil. We were told “authoritatively” that lead poising affects the IQ of young children. A “Team” has worked for years to prove this alarming hypothesis – but they have demonised the authors and the possibility of a simple and strong reverse causation explanation. See

http://www.mja.com.au/public/bookroom/2001/rathus/rathus.html

http://dnacih.com/SILVA.htm

Two comments follow about lead and children. First, in the mid 1980’s, when some intensive work was done, published estimates of the weight of daily soil ingestion by children differed by well over an order of magnitude. So the models had uncertainty – as do today’s global climate models. Second, this question is relevant to climate change because of the discontinuation of leaded petrol and the resultant increase of fuel use by cars and trucks. This affected the so-called GHG load on the atmosphere.

Another case from Australia, again medical, resulted in 2 Nobel Laureates, Barry Marshall and J. Robin Warren. See

http://nobelprize.org/nobel_prizes/medicine/laureates/2005/index.html

http://www.guardian.co.uk/world/2005/oct/04/science.health

Barry Marshall in particular was demonised for his astounding proposition that ulcers were caused by bacteria and could be cured by antibiotics. He even self-administered a dangerous concoction to drive home his point. Personally, I feel that the “Team” opposition to their work should be documented better and spread more widely, so that those who demonise will know that they can be shamed in public when shown wrong.

Getting closer to climate matters, there was widespread demonization of the peaceful use of uranium for large scale electricity generation from the late 1960s onwards. From 1972 I consulted to and then joined the company which had discovered the immense Ranger uranium deposits in 1969. It was soon apparent that there were considerable learning curves for science sub-sets like radioactive decay, assaying, ore resource calculation and particularly radiation health measures. Well, the mines are still operating today and no person appears to have been harmed by them (though we did lose one employee to a crocodile attack).

The second steep learning curve for nuclear was to counter the demonization of radioactivity. You probably know that there are still many people today who have absolute belief that nuclear power generation wastes have to be managed for 250,000 years. This is simple psycobabble as can be shown in a few minutes. Of course, the future of nuclear electricity interacts with fossil fuel use and projections for atmospheric composition of GHG.

Almost by necessity, I lowered my involvement in geochemistry and increasingly went political about late 1980s to counter the anti-nuclear protest. Slowly but surely, the arguments put up in opposition were demolished by demonstration and logic, until no realistic viable case exists to further hold back on nuclear expansion. Demonisation has however resulted in Australia still having no nuclear power generators, despite a large output of mined uranium.

Demonisation has distorted the science, in a way costly to power users and the environment.

Demonisation is resurgent in relation to the Climategate emails and inquiries. Those who have submitted words critical of the science are not all extremists. There is a weight of experience and intelligence in these contra submissions, but those who make them are being ignored or derided. This is not a civil way to act. The inquirers have done shoddy work (with the exception of Graham Stringer MP from Britain; and now the penny is dropping for the Commons Inquiry leader Phil Willis.)

Wherever you look, it is not hard to find evidence of demonization in science. The anti vaccination movement is an example. There is widespread chemophobia, for example in framing where “organic” or “natural” methods are suddenly trendy, despite the certainty that many people would die of starvation if global organic farming was made compulsory. Ditto for genetic modification of crops, a human extension of a process of Nature. The demonisation of science is an insult to the truly professional scientist. I worked several years in the synthetic fertilizer industry in a very large new plant and mixed with people whose skill and dedication was too prominent to be insulted.

Recently was saw the terrible example of the Proceedings of the National Academy of Sciences publishing lists of names of good people and demons with respect to attitudes, as they interpreted them, towards man-made global warming. This is ugly. . PNAS should take a long look at its charter, purpose and methods.

Deductions.

1. We frequent bloggers need to check if we are falling into the demonization trap ourselves. I am guilty, especially a few times when blogging was new to me.
2. Demonisation is antithetic to good science. Good science equates to open minds.
3. There are more effective ways to make an example than by demonising. Shaming is an acceptable alternative sometimes, but most effective of all is the dispassionate analysis that is done by people like Steve McIntyre and several others whom you know too well to need mentioning here. Lead by example.
4. Emotion and politics interact with science, but in an ideal world they are separate from it. It is harder to set out to do good science when you have made up your mind on the outcome.
5. Try to avoid making a mellow generalisation from data. In a surprising number of cases (well, surprising to me) the solution is in the exception to intuition. Data points that are averaged out of existence often take with little Rosetta stones.

It was the devil in the detail that led to intervention in the case of my wife, at the start of this essay. It was not helpful to be demonised for pointing out that misdiagnosis was possible.

There is more that can be written on this theme, more in the context of climate. Should our host feel that responses below warrant it, I would be honoured to write more.

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  • The Age reports that Climategate was a game changer. Judith Curry said Dr Jones had shown himself to be ”genuinely repentant, and has been completely open and honest about what has been done and why … speaking with humility about the uncertainty in the data sets”.

    So far its a case of the academic defense: “Oops, I lied.” Sir Muir Russell, the chairman of the Judicial Appointments Board for Scotland, notes that senior climate scientists say their world has been dramatically changed by the affair. We welcome senior climate scientists to the real world of professional transparency. Steve McIntyre has received overwhelming financial support from his readers for his trip to the Guardian’s debate in England.

  • Senator Wong reminded a conference on the Gold Coast that scientists were responsible for this unpopular policy bind: “Remember why this debate started, why we all started talking about climate change and why people called for action?

    “It is because of you that we understand that climate change is real and it is because of you that we understand that climate change is happening now … and that it is caused by carbon dioxide emissions.”

    But she also challenged scientists to get their act together:

    … the science behind the political debate cannot be over-estimated. Unfortunately in the recent past, science has not been able to speak with one voice on climate change, making it impossible for politicians to enact practical measures to address the phenomenon.

    Reading between the lines, could it be that her political windsock no longer points towards the agenda of tenured liberal progressive moonbats and she is butching-up to the union bosses that put Ms Squiggle in command? Hmm…

  • Lubos reviews a sloppy article by Rasmus Benestad on climate feedbacks. He explains the system as I see it, with many short run positive feedbacks in the atmosphere (and oceans) but stronger negative feedbacks in the long run, producing a “half-pipe” response profile.
  • Lubos makes me laugh:

    Well, let me make it clear that there’s nothing controversial about negative feedbacks. In this battle between negative feedbacks and Rasmus Benestad, it is the latter who is an utterly controversial crackpot. The existence of crackpots may make basic concepts of science controversial among crackpots – and the remaining readers of Real Climate, if there are any – but it can’t make it controversial in the real science.

  • CSIRO is making science more accessible to decision-makers by “trialling different ways of presenting climate information”. And if they couldn’t be more non-committal, they are presenting the regional forecasts of models that “are complex, and constantly being refined” in a slick interface. If as my upcoming publication shows, the model forecasts are worthless, then you have to wonder — What is the point?

    The rainfall simulations in the models are completely opposite to reality over the last 100 years. To make this clear to climate scientists, when rainfall decreases the models increase. When rainfall increases, the models decrease. The best way decision-makers could use CSIRO model forecasts is as contrary indicators, i.e. buy when they say “sell”, and sell when they say “buy”.

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For those interested in the theory that upper atmosphere inflow of moisture from the Indian Ocean is a major determinant of rain in Australia, check out the satellite loop for the last 4 hours right now.

Here is the development of the inflow over the last few days.

Note this is in the presence of a high pressure system with an upper atmosphere ridge and trough, as can be seen by the slight deformation of the isobars over Queensland.

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Ken Stewart is engaged in the first ever independent study of the complete High Quality Australian Site Network. Ken has a series of posts, the first including a lot of background information and explanation. Subsequent posts are not be as long and part 6, the data from the Victorian sites has just been done.

Like many people, he thought that the analysis of climate change in Australia, and information given to the public and the government, was based on the raw temperature data. He was wrong. He averaged maxima and minima for all stations at each site, then compared the result with the High Quality means. By these calculations (averaging the trend at each site in Victoria) the raw trend is 0.35 degrees C per 100 years, and the High Quality state trend is 0.83C. That’s a warming bias of 133%!


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Corrected the page-proofs of my drought paper today.

CRITIQUE OF DROUGHT MODELS IN THE AUSTRALIAN DROUGHT EXCEPTIONAL CIRCUMSTANCES REPORT (DECR)

ABSTRACT
This paper evaluates the reliability of modeling in the Drought Exceptional Circumstances Report (DECR) where global circulation (or climate) simulations were used to forecast future extremes of temperatures, rainfall and soil moisture. The DECR provided the Australian government with an assessment of the likely future change in the extent and frequency of drought resulting from anthropogenic global warming. Three specific and different statistical techniques show that the simulation of the occurrence of extreme high temperatures last century was adequate, but the simulation of the occurrence of extreme low rainfall was unacceptably poor. In particular, the simulations indicate that the measure of hydrological drought increased significantly last century, while the observations indicate a significant decrease. The main conclusion and purpose of the paper is to provide a case study showing the need for more rigorous and explicit validation of climate models if they are to advise government policy.

Meanwhile, scientists are finding new ways to communicate worthless forecasts to decision makers.

These models have been the basis of climate information issued for national and seasonal forecasting and have been used extensively by Australian industries and governments. The results of global climate models are complex, and constantly being refined. Scientists are trialling different ways of presenting climate information to make it more useful for a range of people.

Conducting professional validation assessment of models would be a start, followed by admitting they are so uncertain they should be ignored.

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Anthony’s Tour continues at a breakneck pace this week — with only four venues to go.

The talks at Emerald that I organized went quite well, considering this is a small regional town. About 80-100 people attended an teaser session during the Property Rights Australia meeting during the day, and around 40 attended at night. We got a standing ovation during the day — the first time for me! The crowd was a mixture of ages and sexes and I think messages of bureaucratic sloth and opportunism resonated with them. Central Queensland turned on one of its trademark sunsets for Anthony:

It was good to spend a bit of time with Anthony and catch up on the goss — well not really gossip, but about bloggers and the people behind the curtain. You know how it is, you tend to get a certain view of the people involved, but when you learn more about them, it turns out they are just regular people who put their hand up for something they believe in.

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The ‘strongest male’ is itself a highly variable component.

How to formalise this as a niche? Preamble. All we have, really, are observations. To put niches into a statistical framework, we only have the expected distributions of those observations (both singly and jointly). Selection (either natural or through our study design) changes the distribution of features, and we observe those changes.

For example, if the sample of breeding males is generally taller than the population of breeding males, then we could presume there is selective pressure on this feature — an important item of information. This could be detected statistical significant (e.g. the distribution differ in a Chi–squared test).

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