My point is that it doesn’t really matter; I’m not going to trust a
scientific result more if scientists learn to behave in a more trusting way.
There’s a scientific method which requires that before we accept a result we
check it and confirm it again and again. We probe and investigate in as much
detail as possible. It’s only accepted when it becomes clear that the evidence
is largely overwhelming. It’s the evidence itself that matters, not the
behaviour of the scientists involved.
On its surface this statement sounds pretty
reasonable, until you acknowledge the interdisciplinary nature of the research
field known as “climate science”. As a chemist I am in a position to discuss a
number of areas within the field but I am unable to effectively fact-check
geologists or atmospheric physicists (to name just two of many fields). I have
to “trust” that the peer review process will result in reliable and
reproducible results. If I fear (based on purloined emails) that someone has a
finger on the scale in the peer review process, then I am less likely to have
faith in the resulting balance of articles in the peer-reviewed press. Earlier
in the same post the author did acknowledge:
It really just means that you don’t simply accept something because
someone tells you to. It means that you don’t simply accept something because
the person presenting it is trustworthy or a high-profile scientist. It means
that you check and consider what someone presents. You, or others, collect more
data, do more calculations, or run more models to try and understand something
in more detail and to check and confirm (or not) what others have presented
before.
But this statement once again ignores the
reality of research endeavours in climate science. The global climate models
are proprietary “black boxes” so there is no possibility that an outsider could
repeat their runs. Meanwhile, the biggest complaint of the “show me” crowd is
the current practice of not providing the data necessary to replicate studies.
It is fine to tell the public that they are free to attempt to replicate work (on
their own dime) when the work was carried out at the taxpayer’s expense; but
then to have the taxpayer-funded scientist threaten “If they ever hear there is a Freedom of Information Act now in the UK,
I think I’ll delete the file rather than send to anyone” you are really
left to wonder. Ultimately, the trust
has evaporated in the field and an effort has to be made by those scientists
working on taxpayer-funded grants at taxpayer-funded universities in taxpayer-funded
jobs, to provide taxpayers and decision-makers with the information necessary
to evaluate the quality of the conclusions on which literally billions of
taxpayer dollars will ultimately be spent.
In the discussion thread of the same
posting, the blog proprietor expressed another sentiment which is surprisingly
common in the field of climate science. I was discussing my interest in
renewable energy technologies and got the following response:
What has that got
to do with climate science? Are you suggesting that how our climate will respond
to changes in anthropogenic forcings will depend on whether or not renewables
are a viable alternative to fossil fuels?
This seems to be a common refrain amongst
the “climate scientists” in the climate discussion. They are so fixated on
their own little worlds that they have no understanding of the larger picture.
Put another way, they are so fascinated with the bristlecones that they fail to
see the forest. I suppose my response to these people would
be to ask the question: What is the point of research in the field of climate
science?
If
their answer is “to keep a lot of academics in grant monies and travelling to
exotic locations on the government’s dime” then I suppose that renewable energy
technologies really don’t matter. If the answer is: “to understand
anthropogenic forcings on the planet and how humans can, if necessary,
address/reduce these forcings to avoid potential mass human suffering and ensure
the continuing health of the ecosphere” then renewable energy technologies, and
understanding their influences, is a critical component of the field.
As I have mentioned previously, my area of
thesis research was the intersection of environmental data quality and
environmental decision-making. My research involved identifying the strengths
and limitations of environmental datasets and providing tools to allow for the
effective re-use of the data in alternative settings, including that of
decision-making. Thus, understanding the fundamentals of policy development and
decision-making was a component of my studies. In this I am something of an
anomaly in the field. To explain, I had two supervisors (due to the
interdisciplinary nature of my studies). One of my supervisors was a senior
scientist who had left his active research program to dedicate that time to
policy development and enhancing decision-making. My other supervisor,
meanwhile, was a firm believer in ensuring that his students had well-rounded
educations and early in my career we agreed that my interest in interdisciplinary
studies was going to be a serious hindrance in the academic community (where
hiring was done by “Departments” based of departmental needs). I’m not sure if
it is still the same now, but when I was a grad student every department talked
about the importance of interdisciplinary scholars but all wanted some “other”
department to hire and fund them. As a
consequence, my graduate education was, from its inception, aimed at a
non-academic future.
The one thing I have noticed in the field
of climate science is that for many academics, the absence of formal
training in policy development and environmental decision-making does not
hinder their willingness to provide unsolicited, and often wrong-headed, advice
in the field. One of the areas where the advice is often most wrong-headed is
the field of renewable energy technologies. It is accepted dogma that no first-world
government on the planet is willing to go into energy poverty in order to meet
climate change goals. The State of Illinois is not going to accept regularly
scheduled black-outs to compensate for the fact that 47% of its energy supply
currently comes from coal power plants. So if you want to get Illinois off coal you
are going to need an alternative to “turning off the heat in the dead of
winter”. I have written previously about the Energiewende policy in Germany and how its “success” is heavily
dependent on off-shoring energy supplies (and thus the Tyndall gas emissions
associated with those energy supplies). In my least-read post ever, I even
discussed the concepts of “energy density” and “power density” and how they
influence which renewable technologies may be an appropriate option to address
future energy needs in a region. One of the reasons I started to blog was
that so many of the people demanding renewable energy the loudest did not seem
to recognize that the wrong choice of renewable energy sources can actually
result in increased Tyndall gas concentrations. As I wrote in a previous post
on biofuels and bioenergy, research demonstrates that “converting rainforests,
peatlands, savannas, or grasslands to produce food crop–based biofuels in
Brazil, Southeast Asia, and the United States creates a “biofuel carbon debt”
by releasing 17 to 420 times more CO2 than the annual greenhouse gas
reductions that these biofuels would provide by displacing fossil fuels”. I
also pointed to the research which indicates that corn-based ethanol, “instead
of producing a 20% savings in greenhouse gases, nearly doubles greenhouse
emissions over 30 years and increases greenhouse gases for 167 years”. What
this means to the lay reader is that these renewable energy sources will take
167 years to be carbon neutral. If our intention is to address CO2concentrations in the atmosphere within the next 8 or 9 generations, then that
is the renewable fuel for you, but for me it looks like a poor candidate to
replace Illinois’ coal power plants if I am looking for improvements in a
shorter time frame.
So when a “climate scientist” says “I don’t see what
that [renewable energy] has to do with climate science”? I suppose the nicest response I can come up with is: renewable energy is only important if you are interested in understanding changes in sources and sinks of CO2 in the atmosphere which I see as an important component of the discussion (and rather important for modelling) don't you think?
mea culpa: as a reader has pointed out, the earlier version of this post had an issue with the CO2 subscript. My blogging platform doesn't have fancy fonts and a copy and paste error on my part was not caught by my copy-editing process (reading over the post late at night while drinking a glass of wine). The mistake was all mine and I apologize for any confusion this might have caused.
mea culpa: as a reader has pointed out, the earlier version of this post had an issue with the CO2 subscript. My blogging platform doesn't have fancy fonts and a copy and paste error on my part was not caught by my copy-editing process (reading over the post late at night while drinking a glass of wine). The mistake was all mine and I apologize for any confusion this might have caused.
"I’m not sure if it is still the same now, but when I was a grad student every department talked about the importance of interdisciplinary scholars but all wanted some “other” department to hire and fund them."
ReplyDeleteBy and large, this is as true now as ever.
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ReplyDeleteI deleted the comment above because I wanted to go beyond posting +1 to say that I agree with your point that "One of the areas where the advice is often most wrong-headed is the field of renewable energy technologies". The fact that renewables work well in some places for some applications does not mean it can be used everywhere to replace all fossil fuel use.
ReplyDeleteGood post!
Are you familiar with the case of Drax power station in England? This must be one of the most absurd examples. It was our largest coal power station. In order to satisfy "renewable" energy targets, part of it has been converted - at great expense - to burn wood chips. Trees in the US are cut down, shredded, formed into pellets, shipped across the Atlantic and burnt at Drax.
ReplyDelete"But this statement once again ignores the reality of research endeavours in climate science. The global climate models are proprietary “black boxes” so there is no possibility that an outsider could repeat their runs"
ReplyDeleteThis is not entirely false, but it is more false than true. If you want to run a climate model, you can. If you want to read a climate model source code, you can.
Unfortunately it is a Royal PITA, as we Canadians say, to actually run it. I don't recommend it as a hobby.
But more important, you can read the code and the documentation, and look at the output. It's all far more impressive than the usual naysayer crowd lets on. But insofar as I know nobody has made the attempt.
I think it would be possible to build and run a model of the quality of the early 1990s state of the art on a desktop machine, using modern design methods and relatively "literate" (in the Knuth sense, i.e., legible) techniques. I sometimes wonder if there would be interest in doing so. My sense is that there isn't enough genuine interest outside the profession to manage it.
I have a rule of thumb. Tobis is always wrong. He wants population to decrease. Innovation never happens in the Tobis world. Just ignore him.
ReplyDeleteSince I define the whole objective as avoiding a mortality-driven population collapse, I plead innocent.
DeleteThere is a single out-of-context quotation from me floating around the interned that can be read to make me seem pro-cataclysm.
I try to read sense into what people say, not read sense out. I'd appreciate if others would return the favor.
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ReplyDeleteThis comment has been removed by a blog administrator.
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ReplyDelete