Guest essay by Dr. Tim Ball
Steve Burnett’s “Hard vs. the Soft Sciences” essay is interesting but misses the problem in studying climate and other generalist areas in an era of specialization. It also misses information about the nature of the brain and what it is to be human.
A book that addresses the issue is Antonio Damasio’s Descartes Error subtitled, Emotion, Reason, and the Human Brain published in 1997 and followed by a sequel in 2003, Looking for Spinoza. Responses to this Burnett’s essay would usually include complaints about being off topic but because it speaks to the few who demand it stick only to “hard” science it will likely stand. People’s reaction to the essay will be tempered by their abilities and training.
“There is no more common error than to assume that, because prolonged and accurate mathematical calculations have been made, the application of the result to some fact of nature is absolutely certain.” – A.N.Whitehead. (1861 – 1947) British Mathematician, Logician and Philosopher.
As far as the laws of Mathematics refer to reality, they are not certain, and as far as they are certain, they do not refer to reality. – Albert Einstein
I am sorry to say there is too much point to the wisecrack that life is extinct on other planets because their scientists were more advanced than ours. – John F Kennedy
The problem is encapsulated in the names climatology and climate science. The former is a generalist study trying to put the pieces of a vast puzzle together; the latter is the work of individual specialists that include the hard sciences. This battle has gone on ever since the word scientist was applied to certain specialist areas. Darwin is now considered a scientist but in his lifetime he was a naturalist. At that time only two faculties existed in western universities, the Natural Sciences and the Humanities. Today Social Sciences, which those in the ‘hard sciences’ consider an oxymoron, are the largest faculty. As a climatologist I take a systems approach and try to put each specialist piece in the general puzzle. If it doesn’t fit I want to know why and too often “hard” scientists are unable to offer an answer.
This was the theme of my presentation at the first Heartland Climate Conference in New York. Weaver and Mann inferred it was an issue in their lawsuits against me. The problem the “hard” scientists have is an inability to explain what is wrong with the political use of climate because generally 80 percent of the population doesn’t understand, avoid the topic, or are proud of not understanding “hard” science. Sadly, Gore exploited this reality with great effect.
Burnett’s essay smacks of the superiority of those who think because they can practice the “hard” sciences their knowledge and understanding is superior. Lord Kelvin was even more narrow, “All science is either Physics or stamp – collecting.” This can become almost pathological, as we have witnessed in the climate debate. However, it is only true because “hard” science has convinced society it is superior. The adjectives “hard” and “soft” illustrate the point. The former is sharp precise immutable, while the latter is vague, imprecise, pliable and therefore subject to change. Burnett’s title doesn’t advance the debate much because the very title is combative and divisive.
Burnett’s essay is based around an introspection of his abilities and life experiences. Ironically, they provide information that would interest many people in different subsets of the “soft” sciences especially psychology, but especially psychoanalysts. It appears his view is tempered by his abilities and life experiences. We all see the world through the prism of our nature and nurture.
I experienced several examples of the battle between “hard” and “soft” climate over the years and Burnett’s essay illustrates it continues. When I began studying climate it was to deal with the lack of long term records. Hubert Lamb set up the Climatic Research Unit (CRU) to address the problem.
“…it was clear that the first and greatest need was to establish the facts of the past record of the natural climate in times before any side effects of human activities could well be important.”
Lamb understood you couldn’t do “hard” science without data. One of the IPCC solutions is to create “data” in a computer model, parametrization, and inject it as real data in another model. As Sherlock Holmes, through his author Arthur Conan Doyle said,
I have no data yet. It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
That is a good description of the activities of the “hard” scientists at the IPCC.
I wrote an Honours Thesis on why the “hard” sciences ignored the role of humans as an agent of change. The Masters thesis measured and scientifically analyzed energy inputs in creating depositional environments. My doctoral thesis combined the Arts and Sciences by using scientific quantification and analysis of historical sourced data. It was categorized as historical climatology, which only fit into Geography in the academic discipline divisions. After a presentation to the Faculty of Forestry at the University of Alberta in Edmonton I was asked by a “hard” science faculty if it was true I was denied funding by the two major government-funding agencies. I was not denied because I never asked. The “hard” science funding didn’t cover the historical and “soft” science funding didn’t cover climatology. Fortunately the National Museum of Canada, which tries to explain the world, recognized the problem and provided funding.
“Hard” science people use the accusation of being a geographer as a put down to denigrate my skepticism about global warming and latterly climate change. The University of London determined that I graduate with a science degree but through the Geography Department because there was no Climate Department.
The underlying theme of the essay is redolent of logical positivism and that is fine up to a point. It is based on the idea of the ability to measure, but as Jacob Bronowski noted, that also determines the limit of our understanding. Consider the changes to our ‘understanding’ of the world caused by the introduction of the microscope and telescope.
The IPCC is a bizarre product of all these biases and prejudices complicated by deliberate misuse and misdirection. Burnett’s claims about purity for the “hard” sciences were grossly distorted by the IPCC. They built computer models supposedly built on “hard” science with completely inadequate data. They created data called parameterization, which is supposedly based on “hard” science but creates different results depending on which “hard” scientist is in charge. As the IPCC notes,
The differences between parameterizations are an important reason why climate model results differ.
The results of this “hard” science are merged with “soft” sciences, particularly economics, in the Reports of Working Groups II and III.
The dominance and arrogance of the “hard” sciences are displayed in the adage that, “You don’t have to be a rocket scientist”. This assumes rocket scientists are smarter than everyone else. I substitute a different area of work to illustrate the societal bias. “You don’t have to be a farmer” brings laughs but I challenge people to run a modern farm. They would learn that it requires a generalist approach combining a multitude of specializations from soils through marketing.
I learned as a child that if I heard a rocket, the German V I “doodlebug”, I went directly to an air raid shelter. That rocket was sent courtesy of a “hard” scientist, Wernher Von Braun. Mathematician song writing satirist Tom Lehrer wrote about Wernher and used the verse ,
Don’t say that he’s hypocritical
Say rather that he’s apolitical
“Once the rockets are up, who cares where they come down
That’s not my department,” says Wernher Von Braun
The problem is not the “hard” science per se, but how it is achieved and then used.
In the laboratory strict adherence to the methods and procedures of science is required, which the IPCC failed. When you claim your “hard’ results are valid and promote them to influence public policy through the vague imprecision of “soft’ science, another set of responsibilities apply.
This value difference between “hard” and “soft” science provides proof that the IPCC is not practicing proper “hard” science. “Hard” science makes predictions, which if wrong indicate the science is wrong. “Soft” science makes predictions that invalidate themselves. For example, an economic study identifies issues and makes predictions. People read and react seeing economic and political opportunities that invariably counteract the study and invalidates the predictions.
Burnett implies that today’s “hard” science is definitive – it is settled, but it isn’t yesterday’s “hard” science and it won’t be tomorrow’s. It also implies that all “hard” scientists agree. The IPCC conclusions are based on the conclusions of “hard” scientists in Working Group I The physical Science Basis. It is “hard” scientists who disagree with their work, but there is even disagreement among these skeptical “hard” scientists.
Elvin Stackman said,
Science cannot stop while ethics catches up – and nobody should expect scientists to do all the thinking for the country.
No, not all the thinking but at least some. Surely, the problem with the IPCC “hard” scientists is they are trying to do all the thinking for the world. The leaked emails called it “the cause”, which was the original political objective of those who created the IPCC.
Should read “The observation was….
“Surely, the problem with the IPCC “hard” scientists is they are trying to do all the thinking for the world. The leaked emails called it “the cause”,”
‘The Cause’ is based on Malthusian ideology, and it has some predictable patterns.
(It is based on the idea that society faces an insolvable problem that will cause it to inevitably decline or crash, unless acted on by new forces and/ or ideas outside the ‘normal’ operations of society. The ‘normal operations of society’, in their view, will ultimately only cause society to crash in a Malthusian inevitability.
The International Panel of Climate change should really be called the International Panel of Social Change, as that is their basic foundation and motivation.)
Here are some patterns related to the ‘Malthusian cause/ideology’:
-It is very resilient to external criticism, as all serious criticism is labelled as originating from protecting society and its operations the way they are, which in their view is the very problem to begin with. So all such criticism is ruthlessly ignored and suppressed, as in the climategate emails etc.
-It is a very flexible cause, since, because the future is both certain and inevitable, whatever errors arise or modifications need to be made, these are only speed humps along the road to the inevitable. They do not significantly affect the underlying ‘Cause’.
-It is not based on actual data, so is not falsifiable by actual data, moreover data is not even really much ‘valued’ anyway. Data has to fit ‘the cause’ to be of value.
The point to make right here is that this position of Malthusian inevitability is not a scientific position; if it is not based on data, then it is not science. End of story. All of its underlying assumptions are highly questionable, from an inevitable crash. to lack of resources, to unacceptable ‘pollution’.
goldminor, thanks: yes, I believe it was Isaac Asimov; just looked it up on wiki and the word he used was “psychohistory”.
Soft science is like a poison to hard science – even a little bit in the mix kills the objectivity. Climate models, proxies, consensus all fall into the poisonous category – not science. Get over yourself.
The “Foundation” series was one of my all time favorites in sci-fi.
My discipline is good science. Your discipline is bad science. But at least we are still speaking to each other. That guy over there who we both refuse to even speak to is from pseudo science. How did he even get in here? My point is science will save the world.
“Don’t touch that son, that’s science”
– Me to my young son at tidal motion model exhibit, Agricultural Show 1994.
There’s the related tension between observational/empirical science and theoretical science.
When calculating the age of the earth Kelvin dismissed the concerns of geologists and biologists because he had the model and the maths.
The science was settled,
e.g. http://gilkalai.wordpress.com/2013/05/12/answer-lord-kelvin-the-age-of-the-earth-and-the-age-of-the-sun/
A shame that his final calculated age of 20 million years was about 4.18 billion years short of the mark.
However it’s also true that the dispute with Kelvin forced geologists to begin to think quantitatively, something which they had managed to avoid previously [and still do if possible].
Thanks, Dr. Ball, for this excellent piece. The distinction between hard and soft science is not tenable, as a lot of work in Philosophy of Science has shown. And even if it were tenable (or we ignore the issue and use our intuitive definitions of these concepts) it would not help us to make progress on the climate debate.
But then again, Philosophy of Science is of course a soft science, and maybe my humble mind is just too limited to get Burnett’s point. After all, I haven’t “been a scientist since before I had proper memory formation”, or gave lectures about condensation trails from airplanes at 13 months of age. I suspect I was still learning to walk and speak at that age, actually.
But someone who spends the first 450 words of a 2300 words essay to emphasize what an exceptional god’s-gift-to-manking type of genius he is may be well advised to go and talk to a qualified soft scientist about how to improve his impression management skils.
Good commentary. Thank you.
@ferd berple:
Occam’s Razor
It is philosophical principle, not a principle for soft sciences.
The 80-20 rule
That is a general heuristic. It works many times, but many times it also doesn’t.
No pain, no gain
Again, that is a general heuristic (this time, more reliable than 80-20 rule) for biophysical activity, not soft science.
Bread always falls butter side down.
That is a witticism.
Where is sociology or anthropology?
Golden says:
May 23, 2014 at 4:19 pm
You do not have to be a discoverer of universal generalizations. You only have to contribute.
John Slayton says:
May 23, 2014 at 10:32 pm
I regret having little time to respond to your very interesting post. Because Chomsky focuses on syntax rather than semantics, his program might produce true universal generalizations. But my guess is that they will exist more as mathematical or engineering principles that limit the capabilities of certain parts of human consciousness. Study of semantics is study of meaning and will remain a “soft science”, but not an unimportant discipline.
We must be patient. Our understanding of human consciousness is roughly the same as ancient Egyptians’ understanding of the movements of the planets.
The only difference between hard and soft sciences is the availability of data. There is a lot of hard numerical sociology and geography going on. Ironically, the collection of data is usually in the realm of soft.
Curious George said:
German V 1 was a cruise missile, not a rocket. Wernher Von Braun had nothing to do with it. A hard scientist should be more careful about facts.
Yes, but the V1 flying bomb attacks on London were soon followed by the V2 rocket attacks and the V2 was developed by Wernher Von Braun. In fact the Peenemünde Research Centre was responsible for both weapons although different teams worked on them.
It’s all semantics. I have always heard of soft and hard scientists, but the word, soft, was always meant to cast the so-called social sciences as non-sciences. (nonsense?). What we have are science, and non-science. It either is or isn’t.
I stick to the saying, “You don’t have to be a farmer to know when you have a rotten egg” when discussing whether somebody has to be a scientist to see where the IPCC has gone off the tracks.
Michael Palmer says:
May 23, 2014 at 6:57 pm
The distinction between hard and soft science is itself, at best, soft science. Therefore, my dear hard scientists on this thread, shut up, like Wittgenstein – “Whereof one cannot speak, thereof one must be silent” – or accept that hard science does not have all the answers we seek, and that there is a legitimate place for soft sciences.
++++++++++++++++++++++++++++++++++++++++
Strongly disagree.
Hard science drives consensus (yea, yea; I know consensus isn’t proof…) by rigorous use of the scientific method; soft science, not so much. Reality is a very tough master.
Activities this discussion calls “soft science” may indeed deliver value – it just isn’t science (or it’s not yet science). I suspect “soft science” wishes to be considered “real science” to share the credibility and influence (e.g.: climate science) that’s been hard-won by Newton, Einstein, Feynman, et al.
The problem that I have with blaming climate science’s flaws on the hard/soft science distinction, aside from the hard/soft science distinction itself being intrinsically soft, is that there are far more glaring flaws in climate science, with one of the most glaring being that from its early infancy it was heavily politicized.
Many so-called “hard” sciences have been politicized in the past. Physics is not immune. Biology is not immune. Geology is not immune. Linguistics is not immune. And from the fact that carbon dioxide is often referred to as carbon by people who call themselves scientists, and otherwise normal apparently educated people can be easily gulled into signing petitions to ban DHMO, even good old chemistry is not immune.
So, of course, it’s easy to blame economics, sociology, or psychology for “contaminating” all those “hard and pure” sciences somehow, in that those “soft” sciences in which there is a lot of ideological influence on interpretations because they can’t really do fully controlled experiments, and where it is easier for politics and groupthink to show themselves, are obviously not really “scientific”… but I don’t think climate science deserves to get off that easy.
Climate science did not need to be contaminated. It was corrupt from its inception.
I remember lots of economists objecting to the IPCC’s scenarios because the IPCC people weren’t using reasonable methodology by the economists’ “soft science” standards, and the IPCC people brushing them off and not making any changes at all…
Daniel G. says:
May 24, 2014 at 9:01 am
“Where is sociology or anthropology?”
Good question. I was told by a Chief Justice of Nigeria 50 years ago that sociology was the study of European society (all white people were called Europeans there) and anthropology was the same thing for non-white societies.
rocket drive ain’no science at all. not to say ‘hard science’. ridicoulos.
At best it’s technics.
Wehrner von Braun’s
V1
Vengeance1
Vergeltung1
was Kindergeburtstag, Halloween, Hollywood, Spielberg, Las Vegas.
So many people to die whilst building. The poorly miltary outcomes.
Sole scientific base Ziolkowski: scifi for nonadults.
V1 was driven by dark emotions, no science at all: just try and fail.
We dear need soft science to protect us from hard doomsday technicians.
Was 911 science?
brg Hans
“It has been reported that a disproportionate number of climate skeptics are scientists, engineers, programmers, and other technical people. This is perhaps because they understand the limits and pitfalls of science, and recognize when things go pear shaped. In particular, they know that when someone declares that he or she can reliably predict a system which is stupendously complicated, chaotic, and ill-understood, then that person is blathering … ”
Everyone is conservative about what he knows best … Conquest’s First Law ( … of Politics But it works here, too.)
The other two are:
2. Any organization not explicitly right-wing sooner or later becomes left-wing.
3. The simplest way to explain the behavior of any bureaucratic organization is to assume that it is controlled by a cabal of its enemies.
Those work on this issue, too.
I have challenged anyone and everyone to produce from the soft sciences at least one universal generalization that is highly confirmed and is accepted by all scientists as true until further work reveals some prediction from the law that proves false. There is no such law and there never will be.
Theo Goodwin, WUWT May 23, 12.45pm
There is a universal law developed in soft sciences that applies also to all sciences, and it is simply this:
‘All scientific conceptions of the Universe are influenced by the social milieu, linguistic heritage, political environment and personal psychology of the scientists who make them’
In my experience as a science and policy analyst, having been involved in environmental issues specifically involving computer simulations and prediction, and at all levels of policy development from government to inter-governmental, I have hardly ever come across a ‘hard’ scientist who understands this law – most are unaware of its existence. More specifically, they are unaware of the extensive literature in sociology and social anthropology on the way that hard scientists conduct themselves. Barry Barnes’ seminal Interests and the Growth of Knowledge showed many years ago that even mathematics and geometry were not free from such pervasive influences.
With regard to climate science, there are some clear patterns:
• Foremost, is a ‘belief’ that model simulation on a planetary level can deliver adequate predictive ability. The evidence from a long list of failures does not support that ability (CFCs, PCBs, Acid Rain, mercury in the marine environment, dispersion of radio-active elements, thresholds of effects for toxic substances) but this fact illustrates another point –
• That environmental science consistently covers over the tracks of its failures, thus failing to learn from its mistakes and perpetuating the belief in its abilities;
• Thus, the construction of complex models in itself is a social and political act masquerading as hard ‘science’, precisely in order to have social and political impact (through policy recommendations), this is because:
o The world of model construction is a social world supported by government or science institution funding with the express purpose of making a policy recommendation – in any area that is already deemed in need of such;
o Models are very expensive and almost impossible for ‘outsiders’ to replicate;
o Critics of parameterisation are challenged to produce their own model, rather than have their criticisms actually listened to;
o All ‘research’ within the model community tends to produce clone models because the community acts as a normative influence;
o Thus the modelling community comes to occupy a key position within the policy process and gains position on policy-relevant committees, panels and advisory commissions.
• The resultant community of scientists then colludes with some economists (foremost of the ‘soft sciences’) but with great naivety with regard to the social obstacles to policy, as illustrated by the recommendations to reduce greenhouse-gas emissions despite all the evidence that shows this is not compatible with economic policy;
• This naivety is further demonstrated as the policy makers then collude with the corporate and financial world to develop technology and financial instruments that a) cannot fully address the (perceived) problem – such as renewable energy supplies and carbon trading; b) are not actually affordable.
There is also a raft of psychological factors evident in the model construction. The main of which relates to the male mathematical mindset that continually ignores the ‘feminine’ mathematics of spirals, chaos, irregular periodicity and cycles – with which climate data is intrinsically pervaded – some would say ‘plagued’ . With regard to solar factors, the ‘dark’ side of the Sun – its invisible, magnetic and periodic nature, was at first completely misunderstood (solar visible wavelength activity was regarded as ‘constant’ until the advent of the satellite era, and even after several decades of study, the magnetic cycles are entirely unpredictable). The early models had no parameters to represent magnetic cycle influences such as cosmic ray modulation and cloud-seeding effects, and only the very latest post-2010 models are attempting to factor in far-UV variability and the behaviour of the Jetstream.
The fact that solar variability is so unpredictable doubtless influences its derogation as a major influence on climate dynamics, despite a very large science literature that shows past influences and modern evidence of remarkable recent changes in solar behaviour.
‘Hard’ scientists are involved in a very wide spectrum of apparently scientific endeavour – from the purist physics in laboratories unconnected to the policy world (if such really exist!), through the manic biochemistry and genetic analyses conducted in the world’s pharmaceutical labs with all of the complexity of desire to keep humanity healthy and well whilst earning a tidy profit for shareholders and paying an expensive personal mortgage; and on to the rarefied world of the UN’s panels on climate and energy policy. At no point do they ever operate in a social, political or psychological vacuum. Even the questions and hence hypotheses that the purest physicist can conceive of, are subject to the universal law of pervasive social influence.
What is remarkable, though easy to understand, is the fact that ‘hard’ scientists pretend otherwise and for the most part get away with it.