7 Appendix – Deriving the Policy and Forecast Graph

In the introduction, the derivation of the graph to replicate the claim that the costs of catastrophic global warming will be many times greater than mitigation policy costs was logically incomplete. This is a derivation of the two cost functions from a series of PowerPoint slides, which I find somewhat more satisfactory.

Slide 1

First draw two axis’s – for temperature and relative cost.

Slide 2

Next, add in five points.

A. If there had been no rise in human greenhouse gases, there would be no rise in temperatures and thus no consequential costly climate impacts.

B. With “business as usual”, there will be a huge amount of warming, with hugely costly consequential climate impacts.

C. Globally, policy could be used to stop any further rise in greenhouse gases, but with huge global cost.

D. No policy and no policy costs.

E. Intersection of two curves, which in Stern’s view is at the point of constraining warming to about 3 degrees above pre-twentieth century levels.

Slide 3

Connecting up the points AB (climate costs) and CD (Policy costs) with straight lines (linear functions), creates an intersection at point F.

To replicate Stern, we need cost functions that intersect at point E. That is the climate cost curve connects AEB and the policy costs curve connects CED.

Slide 4

Drawing curves within PowerPoint is beyond my current skills. Simple curves have symmetrical properties. The required cost curves do not have such properties.

Slide 5

Above is the actual graph used.

Slide 6

On my graphs the cost curves are unstable functions

For climate costs

RC = f(T4)

For policy costs

RC = f((10-T)5)

To justify policy

  1. Must have reliable consequences of warming beyond human experience. Climate models must be robust for the high temperature rise forecast and have a phenomenal degree of precision on the shorter-term cost impact forecasts.
  2. Must be sure that got achievable high-impact low-cost policies, with a highly results-driven approach to policy implementation.

Radiative Forcing – UNIPCC AR5 undermines AR4, but scientists have unshaken confidence in their work

Last year in “Aerosols – The UNIPCC AR4 adjustment factor” I claimed that in 2007 the UNIPCC engineered the radiative forcing components to tell a story. It basically manipulated the figures to account for the lack of warming up to that point. The release of AR5 Working Group 1 report yesterday shows the extent of the false levels of certainty in the scientist’s estimates in 2007.

The Data

In 2007 Figure 2.4 of the Synthesis Report was as follows

In 2013, Figure SPM.5 is below1

There are slight changes in format and terminology. I have put the two tables side-by-side for comparison, with analysis:-

 

The range of forcings I have expressed the range as a percentage of the mid-point.

Below are comments on the individual forcing components.

Carbon Dioxide CO2

The most important anthropogenic greenhouse gas has hardly moved, from 1.66 to 1.68 W m-2. In 1750 CO2 levels were 280 ppm, rising to 379 ppm in 2005 and 392 ppm in 2011. In 2007, the scientists estimated that it took a rise of 60 ppm to increase radiative forcing by 1 W m-2, compared to 66 ppm in 2013. Scientists have found that CO2 is 10% less effective as a greenhouse gas than previously thought. They are far less certain about this figure, as the range has doubled, but they are still have high confidence in their figures4 but scientists have switched from high confidence to very high confidence with their figures.3

Methane CH4

CH4 has practically doubled in impact, from 0.48 to 0.97 W m-2. In 1750 CH4 levels were 715 ppb, rising to 1774 ppb in 2005 and 1803 ppb in 2011. In 2007, the scientists estimated that it took a rise of 2200 ppb to increase radiative forcing by 1 W m-2, compared to 1120 ppm in 2013. Scientists have found that CH4 was practically twice as potent as a greenhouse gas than previously thought. They are far less certain about this figure, as the range has more than doubled relative to the mid-point. More significantly, the new potency is well outside the confidence range of the 2007 report. There the high point of the uncertainty range was 0.53 W m-2, whereas the low point of the uncertainty range is 0.74 W m-2. Despite having been so far out six years ago the scientists still have high confidence in their figures. The reason given on page 9 is

This difference in estimates is caused by concentration changes in ozone and stratospheric water vapour due to CH4 emissions and other emissions indirectly affecting CH4.

 

The potency of CH4 is a modelled estimate based on other factors. It is by including these indirect effects that the uncertainty is increased.

As a side point, of the 1100 ppb rise in CH4 levels since 1750, 80% was prior to the 1975. It has ceased to be a significant contributor to increasing radiative forcing. Given the increased recognised potency, it is a minor explanation of the pause in warming.

Nitrous Oxide N2O

This has hardly moved in impact, from 0.16 to 0.17 W m-2. In 1750 N2O levels were 270 ppb, rising to 319 ppb in 2005 and 324 ppb in 2011. Scientists are far less certain about these figures, as the range has nearly doubled, but they still have high confidence in their figures.

Halocarbons4

Although a minor group of greenhouse gases the impact has reduced from 0.34 to 0.18 W m-2, but the magnitude to the uncertainty band has increased more than five-fold from 0.06 (0.37-0.31) to 0.34 (0.35-0.01). Instead of reducing scientists confidence, they have gone from “high confidence” to “very high confidence” in the figures.

Aerosols

Of the 2007 report I claimed they were a fudge factor, suppressing the warming effect of greenhouse gases. The combined mid-point is now 1.20 W m-2of direct and cloud albedo effects, down more than 30% on 2007. The range of uncertainty is more significant. This has increased from 0.8 to 0.9 W m-2, with the impact of the high-end being a net warming effect. Despite being now being uncertain of whether the direct effect of aerosols warm or cool the planet, and despite being less certain of already high “confidence” range six years ago, the scientists still have high confidence in their figures.

Forecasts for Radiative Forcing in 2100 for CO2 and CH4

Let us assume that CO2 continue to increase at 3ppm a year and CH4 increases by 5ppb a year until 2100. Using 2007 potency estimates, CO2 forcing will be 6.34 W m-2 and CH4 will be 0.69 W m-2 above 1750 levels. Using 2013 potency estimates, CO2 forcing will be 5.72 W m-2 and CH4 will be 1.37 W m-2 above 1750 levels. Combined estimated forcing is less than 1% different, despite doubling the potency of CH4. Maybe we will have a much greater reason to worry about the melting of permafrost in the tundra, causing a huge rise in atmospheric methane levels. Suppressed warming from this factor has been doubled.

Conclusion

Scientists now implicitly admit that they were much too confident about the potency of greenhouse gases in 2007. They have now doubled the uncertainty bands on the three major greenhouse gases. Yet recognizing this past over confidence seems to have had no impact on current levels of confidence.

Kevin Marshall

 

Notes

  1. The graphic at the time of writing was only available in pdf format.
  2. NMVOC = Non-methane volatile organic compounds. They have a role in the production of ozone. Defra have a fuller explanation.
  3. All these figures are available from the 2007 “Full report” page and the 2013 WG1 Summary for Policymakers page 7. This is the 27-09-13 version. Page numbering will change once tables are properly inserted.
  4. Upon re-reading I have made two adjustments. For CO2, I note that scientists have increased their confidence despite doubling the size of their uncertainty bands. I have also added a comment on halocarbons, where confidence has increased, despite a

Assessing the UNIPCC fifth assessment report

The first part of the UNIPCC AR5 is due to be published in the coming days. At the Conversation, Research Fellows Roger Jones and Celeste Young at Victoria University have posted Explainer: how to read an IPCC report. It contains some useful stuff on penetrating the coded language of the IPCC report. You will be better able to decode what the IPCC mean by various levels of confidence. However, the authors are very careful not to give people a free rein in thinking for themselves. Therefore they stress that the language is complex, and any questions need to be answered by an expert. After all, it would not do to have people misinterpreting the science.

I suggest an alternative method of understanding the science. That is comparing what is said now with what the consensus said back in 2007 in AR4. The AR4 is available at the United Nations Intergovernmental Panel on Climate Change website at the following location.

http://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_synthesis_report.htm

Figure 2.4 Radiative forcing components of SYR.

It would be nice to see the comparative estimates, particularly on whether aerosols have a comparatively large negative role and whether natural factors are still less than 10% of the net total.

.

Figure 2.4. Global average radiative forcing (RF) in 2005 (best estimates and 5 to 95% uncertainty ranges) with respect to 1750 for CO2, CH4, N2O and other important agents and mechanisms, together with the typical geographical extent (spatial scale) of the forcing and the assessed level of scientific understanding (LOSU). Aerosols from explosive volcanic eruptions contribute an additional episodic cooling term for a few years following an eruption. The range for linear contrails does not include other possible effects of aviation on cloudiness. {WGI Figure SPM.2}

Figure SPM.6. Projected surface temperature changes for the late 21st century (2090-2099).

An updated map on a comparable basis would be useful, especially for the most concerning area of the Arctic.


Figure SPM.6. Projected surface temperature changes for the late 21st century (2090-2099). The map shows the multi-AOGCM average projection for the A1B SRES scenario. Temperatures are relative to the period 1980-1999. {Figure 3.2}

Table SPM.2. Examples of some projected regional impacts.


It would be nice to have an update on how the short term impacts are doing. These all had high confidence or very high confidence

In Africa

By 2020, between 75 and 250 million of people are projected to be exposed to increased water stress due to climate change.

By 2020, in some countries, yields from rain-fed agriculture could be reduced by up to 50%. Agricultural production, including access to food, in many African countries is projected to be severely compromised. This would further adversely affect food security and exacerbate malnutrition.

In Australia and New Zealand

By 2020, significant loss of biodiversity is projected to occur in some ecologically rich sites, including the Great Barrier Reef and Queensland Wet Tropics.

Small Islands

Sea level rise is expected to exacerbate inundation, storm surge, erosion and other coastal hazards, thus threatening vital infrastructure, settlements and facilities that support the livelihood of island communities.

Please note the graphs used are available at this website and are IPCC Copyright.


Answering Michael the Realist

The summary conclusion I reach from this posting is

Cherry-picking is being selective, to confirm one’s prejudices. To use all the available data is (according to Michael) the sign of a true skeptic. So (a) Michael is right, therefore wrong (b) Michael is wrong, therefore right (c) Michael contradicts himself. I cannot think of any other logical category.

One of the issues I find with the blogs on climate, and particularly with many of the comments, is that many believe that the arguments hinge on a single piece of data, or on the weight of opinion. There is also a lot of denigration of others but no substantiation. The reason I chose “Michael the Realist” was because he was trolling Jo Nova’s blog, whingeing that nobody would answer his ridiculous points, which were totally out of context with the theme. When I do a search on “Michael the Realist”, in one posting I get 37 hits out of 297 comments. This understates the way he sought to hijack the debate. A couple of comments he made are at the foot, with comments by Joanne Nova

My subsequent postings with direct answers to his questions met with no acknowledgement that I may have anything useful. I fully realise that I could be fundamentally wrong somewhere, or rejecting good strong arguments for superficial reasons. Climate is an enormously complex issue. The study of climate is an applied science, requiring drawing upon a range of skills from a variety of areas. I have therefore listed, and explained, the fundamental issues that climate science ignores. It is from the study of the philosophy of science, economics, econometrics, accountancy, and history. I also draw analogies with principles of trial by jury in English Common Law. Over hundreds of years there has developed principles for establishing whether a claim is proven beyond reasonable doubt by the prosecution. The people that need convincing are ordinary people. It is an analogy that the PR people should draw upon.

The fundamental issues are listed below. In some cases I will refer to only the letter for brevity.

A Positive and Normative

B Boundary conditions

C Open and closed questions

D Trivial v. Non-trivial

E Quality

F False Positives and False Negatives

G Relevancy and significance

H Necessary and Sufficient

I Levels of evidence

J Values of the Legal Process in Reverse

K Underdetermination Thesis

L Vulnerability

M The Null Hypothesis

To retain the flow I will post my previous comments in orange, and Michaels in green. New comments are in black. This exchange took place here and here.

  1. Your so called “proof” of AGW is lacking something. It has data on the alleged effect (C20th warming), but no data on the alleged cause – human greenhouse gas emissions. Do you agree?

    No. It is warming, this fits the theory of AGW as greenhouse gas emissions are increasing K. Natural factors are examined and cannot be the cause. All other predictions of AGW caused warming are also occurring, including falling ph in the oceans D, melting Arctic D, falling global ice volume D, rising sea levels D, increasing extreme weather especially floods D, heat waves D and droughts D and much more. Also
    F applies to weather trends.

    There is no other plausable explanation put forward that I have seen yet.

  2. Above I show there is no apparent link between C20th CO2 emissions and the pattern of warming.

    That is incorrect. C CO2 emission have been increasing and temps have been rising, plus all the other observations. Both rose in the C20th, but I claim that “the relationship of CO2 emissions to average temperature is weak.” I look beyond the simplistic statement, and Michael does not.

  3. If I used HADCRUT4 or GISSTEMP, the fit would be closer, but still have anomalies.

    The trend with GISS, even against the satelites is the same. So unless Michael is claiming that HADCRUT4 and GISSTEMP is the same as HADCRUT3 (thus contradicting his earlier claim that HADCRUT3 was out of date), then they are only the same in an unscientific, cherry-picking sort of way. So there are three option here. First, we trust the Michael who says HADCRUT3 is out-of-date and thus inferior to HADCRUT4 and GISSTEMP. Second, we trust the Michael who says HADCRUT3 gives the same results as HADCRUT4 and GISSTEMP. Third we conclude that Michael does not know what he is talking about.

  4. Pages 2K shows considerable natural fluctuations, including two previous warm periods in the last 2000 years. Maybe not as much at in Esper et al 2012 (published in Nature), but there nonetheless. In the absence of an accurate and clear method of deciphering the human signal from the natural signal, it is easier to assert that C20th warming was predominantly due to natural factors, than >100% due to human factors. (The AR4 of 2007 had aerosols as offsetting much of the GHG effect.)

    Natural factors do indeed exist, but just because we have less information about past natural factors than present ones does not nullify how much we know about present ones. G, I, L, M Most significant natural factors that we can measure and are currently aware of since the 50′s have been cooling. (Unsubstantiated claim) . Also the 2001 to 2010 decade, the hottest on the instrumental record, has been significantle in the grip of cooling la ninas and falling solar. (Unsubstantiated claim) Despite that it is still hotter than the previous decade with predominantly warming el ninos. (Answered here, which Michael has not contradicted) This is the proof that you are wrong, I even skeptic scientists expected it to cool by now. It is not cooling because it is being overwhelmed by greenhouse gas warming.

  5. Given that the GISSTEMP shows much a greater warming spurt in the late C20th than the second half, and that most the extreme rise is in the Northern Hemisphere (especially the Arctic), is it not surprising that the Pages 2K proxies have most of the Arctic and European warming in the early C20th, with little warming thereafter?

    The fastest warming is in the second half, with .5 degree rise snce the 50′s. Repeats what I said about GISSTEMP, but does not engage with the significant bit – that the Pages2K temperature reconstruction contradicts the GISSTEMP temperature record. Pages2K (Michael promotes) appears more in line with HADCRUT3 (Michael rejects as being out-of-date) than GISSTEMP (Michael promotes).

  6. Given a lack of comment to the contrary, you accept that your claims about hottest decades is not evidence against warming having stopped. Rather it is what Stephen Lewandowsky terms “misinformation”.

    No, as I have pointed out, when you take all the science, information and data into account, it is clearly still warming. That statement only works if all your (lack of) science comes from an eyeball look at a cherry picked portion of a graph out of context and ignoring all other data. People, like David Whitehouse of the GWPF, have looked at the surface temperature over the last 15 years or so and found there is no statistically significant warming. Even Nature Climate Change has a peer-reviewed paper showing that the recent warming over the last 20 years is a lot less than the climate models predicted, and agrees that no significant warming in the last 15 years. (see quote in Appendix 2) Note the difference in the periods of the last two sentences. It is a matter of degree. So Michael falls foul of H and I, as established in the peer-reviewed science. Will Lewandowsky and Cook (a) now acknowledge that one of their own spreads “misinformation” (b) declare “Michael the Realist” an outsider (c) duck the issue and implicitly deny that somebody who agrees with the “science” could be more of an “eccentric” than some of the skeptic scientists.

  7. That your definition of “Skeptic” is completely at odds with the premier dictionary of the English Language.

    I use skeptic to be kind and because if I use the term that more accurately describes your behavour I get fake indignation. I actually believe myself to be the skeptic as I look at all the data and information with an open mind. This referred to Michael’s definition of “skeptic” here and my follow-up here. The definition he used was

    A true skeptic is somebody who looks at all the data, science and observations and makes rational and logical determinations on that…

    So Michael does use the term skeptic to refer not to me, but himself. Despite being pointed to the definitions in the Oxford English Dictionary, he still persists in promoting a falsity.

Also from the same comment.

On Correlations

This pearl of wisdom from Michael.


Even your graph above shows fairly good correlation with CO2 and temperature.

Correlations are obtained from running statistical tests against the numbers. It is purely obtained from eyeballing the data – which anybody who understood data would not do. If Michael, the self-proclaimed expert on climate science, wants to run the appropriate correlations, and report on whether they are “good” or not by the appropriate statistical tests, then I will provide them with the data. I will also provide the Excel spreadsheets (raw data and adjusted data) to anybody else who requests it. They can then run this data for CO2 emissions against any temperature set they see fit. It will not be easy, as the test is for a non-linear, time-series correlation. As such a battery of tests are required.

Michael’s opener on my blog is

Your cherry picking again. Your use of hadcrut 3, a superseded non global data set is a dead giveaway and then choosing specific proxies that match your confirmation bias.

I went to CO2 science.org, where they summarize all the available proxies. From those that show estimates of average temperatures estimates since the medieval warm period, they produced this graph.


Cherry-picking is being selective, to confirm one’s prejudices. To use all the available data is (according to Michael) the sign of a true skeptic. So (a) Michael is right, therefore wrong (b) Michael is wrong, therefore right (c) Michael contradicts himself. I cannot think of any other logical category.

A couple of comments by “Michael the Realist”, with bold-type comments by Joanne Nova.

Michael the Realist August 25, 2013 at 5:57 pm · Reply

I also do not ignore responses. I hope you can appreciate that I work for a living and so by the time I get back on it is hard to work out whom has replied to whom and when. So keeping up is a huge issue. THere is one of me and I get attacked by 10+ of you guys. If someone would pay me then I could devote full time to this but I doubt that will happen. I reply to as many as possible.
I’m unpaid too. Do your research before you comment. – Jo

As to repetition, the main arguments from skeptics revolve around 3 areas.
1. There is no consensus, or there is a global conspriracy

[Dishonest or ignorant. This is not remotely a “main” argument. On this site almost everyone agree there is a consensus among climate scientists — the issue is that it’s meaningless. You pretend I talk about a conspiracy. Our main point is the empirical evidence. – jo

The post above with the list of scientific organisations puts those claims to bed. It is not feasable to maintain those views when organisations as far apart as China, US, Russia, Mexico, Peru, France, Canada, India, Nigeria, Nicaragua, Japan, Turkey etc, just to name a few all agree in the science of AGW.

[Consensus proves nothing about the atmosphere. It can be bought (with say $100 bn in science grants) or bullied or a genuine mistake from groupthink. Scientific consensus has been wrong many times before. Name which of these agencies actually surveyed it’s members? Ans None, apart from 2 or 3 surveys on tightly defined and annointed “climate scientists”. The other statements come from 6 – 8 activists in a committee in each group, are meaningless and have been protested by thousands of members of the major groups. I have covered all this over and over, you don’t respect us enough to read my site before arriving here to lecture us repeatedly on a topic we know better than you. – Jo]

2.The models are wrong
I avoid the models completely in discussions as I want to stick to the actual data and observations. The models are useful, and have been really accurate in many areas, because you cannot put the planet in a test tube, isolate variables and see what happens. But as I have pointed out many times, they are still just projections based on ceratin scenarios and reality is always going to be slightly different due to natural variations that are not completely predictable (like ENSO), lack of computing power and accuracy due to grid sizes, and the parameters like how much CO2 or aerosols emitted being different to that entered. The science is not based on the models, it is based on the physics, data and observations, and I make my points on those basis.

[The models are broken and even alarmists admit that now. They have not been accurate about anything that matters. This is blather you can’t back up. Read my “new Here” post. We agree with alarmists on physics, but not on feedbacks, you’ve been misled and are waging the wrong war. – Jo]

3. Warming stopped 16 years ago, or there is a pause etc.
This is answered by the fact that it is a dynamic system with natural and anthropogenic forcings and that even though there are many dips and pauses in the long term record the trend is up. I prove that the 2001 to 2010 decade was the hottest on record globally, over ocean, land and both hemispheres, and that every decade bar 1 in a hundred years has been hotter than the previous one. Using years in such a complicated system is deception becasue it has to many natural cycles to make judgements that way. I show the ENSO charts to prove that the current 13 years have been mainly la nina, but temperatures have not fallen and the period is still hotter than the decade with predominantly el ninos. I show skeptic scientists who have predicted cooling due to natural factors, but this has not occurred. This proves warming is occurring as it has overpowered natural factors. This has not been able to be explained away by your readers using any properly scientifically accepted theories and data. Is this why you are blocking me.

[Since I’ve published over 700 of your comments, will you apologize for dishonestly suggesting I am blocking you? _Jo]
[As as for the “pause” read my last comment again. Even if is still warming in the long term trend, the models are broken and the 300 years of warming does not correlate to CO2.- Jo]

As to the repetition, I would say that 90% of your posters postings are based around those 3 themes so the repetition is all here.

[You start and amplify these themes by posting 700 comments on exactly these points. That’s why commenters get so angry. You drive threads off topic and into these inane repetitious channels. Jo]

Obviously since I am using accepted sceince…

[You don’t know what science is. Logical fallacies are not “Science”. – Jo]

…and data my answers are not going to change. The posters will repeatedly not accept my answers and keep posting the same questions over and over and over again (Heywood especially but many others) Why are they not being moderated? If I have answered a question but asked it again how should I respond?

[Stop taking the threads off topic and repeating errors and you won’t get caught in the same loops. – Jo]

So I have valid answers to all queries that clearly point to a consensus

[Which means nothing in science… -Jo]

and clearly answers why there is a pause,

[Trenberth, Jones and Mann don’t know why there is a pause, if you do, you should write to them, quick, they need you! -Jo]

using previous periods is not proof of anything unless you can put forward measurements to show that natural factors were not the cause. Currently natural factors are not the cause, they can be measured and determined. That being the case, to promote delay and to not accept the science, for what I can presume are only ideological reasons, is not the right thing to do. There is more than enough evidence for concern and to justify action, until the science and the data start pointing the other way. The consequences are to severe.

Obviously being moderated this might not (likely) be posted, but I hope you actually read it and think about it. My only motivation is my kids and they do not deserve the short shrift they are getting in regards to the future planet we are leaving them.

[Your kids deserve better science – we’re happy to help them have a future with less corruption, better reasoning, and based on evidence – Jo]

Michael the Realist August 26, 2013 at 7:57 pm · Reply

Michael, I don’t want to moderate you or block you. I want you to learn what our basic position is so you can argue at a level commenters will enjoy. I want debate, and I want people to point out where we might be wrong, but repeating logical fallacies is too basic a level. Perhaps I should write an FAQ? _Jo
———————————————————————–

You still haven’t provided a working email address. You are now on the moderated list until you do

I have not been dishonest about questioning my blocking.

You’ve posted 700 comments repeating the same points many times. You have not been blocked. It’s dishonest to say you have.

I have been told that my address is false as I have not responded but I have responded many times, and you have replied. I work, check when I can, the replies come into the hundreds, I will scroll through trying to pick up which ones applied to me. It is easy to miss individual ones, your email does not come in special, it just looks like it is from the list.

Yes you work to but most of your posters do your work for you, I have many more responses to answer personally than you do.
Wow. That is some delusional framework you are creating there. Or perhaps you don’t read my posts? -Jo

My query above has been unable to be successfully answered with any firm science.

What query? I suspect there is no answer anyone could give you… – Jo

That is why they get angry, they cannot answer it. It is based on actual data and observations, not models. I attempt to be as polite as possible and I try to answer as much as possible, repetition comes from them asking me the same questions over and over and making the same complaints. Do you find Heywoods million questions on how much in deg c Australias emissions reductions will reduce temps? I don’t, it is not about one country or minute temps it is about global responsibility and consequences, thats what everybody is resonding to. Do you find blackadder throwing in vikings, without any references as an argument that disproves AGW? What about all the personal questions about why I have kids and drive a car? You say my questions are irrelevent to the science, do you ever question supporters?

[Yes I do. I send emails to commenters privately. Theirs works. They respond before they write another 14 comments. – Jo]

I am not sure what you are after now. Do you want me to go through point by point on your evidence list? Do you want it done on this thread or that one? Can you answer clearly where my logic above is wrong and prove it so that I can be secure in my childrens future?

Read your emails before you write comments asking for answers I have sent you.
PS No I don’t want to tutor you on any thread. 
Argument from authority is a logical fallacy known for 2300 years. It isn’t evidence about the climate.

Jo

Appendix 2 – The Nature Climate Change paper.

The inconsistency between observed and simulated global warming is even more striking for temperature trends computed over the past fifteen years (1998–2012).

For this period, the observed trend of 0.05 ± 0.08 °C per decade is more than four times smaller than the average simulated trend of 0.21 ± 0.03 °C per decade… It is worth noting that the observed trend over this period — not significantly different from zero — suggests a temporary ‘hiatus’ in global warming. 

Fundamentals that Climate Science Ignores

Updated 08/09/13 am

Updated 08/09/13 pm – M The Null Hypothesis

Climate Science is a hugely complex subject, dealing with phenomena that are essentially chaotic, with vague patterns. Yet the promotion of that science is banal and superficial. Below are some of the fundamentals that have been addressed in established areas like economics, philosophy and English Common Law, but which the Climate Science community ignores. Most overlap, or are different ways of looking at the same thing.

A Positive and Normative

I do not hold with the logical positivism in vogue in the early parts of the C20th and later underpinning the “positive economics” ideas of Milton Friedman that was popular in the 1950s to 1980s. But it made the useful distinction between positive statements (empirically based statements) and normative statements (what ought to be). The language of climate science is heavily value-laden. There is not attempt to distinguish positive from normative in language, nor highlight that competency in the sphere of positive statements is not necessarily an indication of competency in normative ones.  For instance, when scientists make statements about the moral imperative for policy, they may overemphasize the moral questions raised as they may be too close to the subject. In fact believing that that rising greenhouse gas levels causes a worsening of climate can lead to a bias towards the simplified solution to constrain that growth. It takes understanding of the entirely separate fields of economics and public policy-making to determine whether this is achievable, or the best solution.

B Boundary conditions

There is no clear definition of science in general or the study of climate in particular. The only underlying definitions are tantamount to saying that science is what scientists do, and scientific statements are those made by scientists. Without a clear definition of science, scientists end up making unsupported statements, outside their area of competency. For instance, scientists often make statements about the economic case for policy. With the term “climate change” encompassing both, the general public are misled into believing that “climate scientists” cover both areas.

C Open and closed questions

A closed question can by answered by a single word. The narrowest closed questions are those can be answered “Yes/No” or “True/False”. Open questions need fuller answers. Climate change is not just about closed questions. It is about how much, how likely, when and where. If terms of boundary, there is not a closed question of science versus non-science – with the boundary in actual work being between that published in a peer-reviewed journal and that published outside. That leads onto non-triviality and quality conditions and relevancy

D Trivial v. Non-trivial

The strongest evidence for global warming suggests a trivial issue. In one aspect this is true by definition. The non-trivial part – the potential climate catastrophe that policy seeks to avert – relies upon future projections. This relies on temperature rises many times greater than so far experienced. Projections will always be, weaker that the actual evidence. But there is an empirical aspect as well. If the actual trends are far below those predicted (surface temperature warming trends), or fail to show a switch to a path pointing to catastrophe (acceleration in the rate of sea level rise)

E Quality

There is good quality science and poor quality. Peer review should help, but (as suggested in the Climategate emails) acceptance/rejection can be based on criteria other than science. In most areas of science, and indeed in many professions, efforts have been made to improve the quality of results. One minor step towards improvement of quality is the insistence on publishing the data behind peer-reviewed articles. This has led to the quick exposure of shoddy work like Gergis et al 2012 and LOG12 papers, whereas it took many years of persistence by Steve McIntyre to get the full data on Keith Briffa’s deeply flawed Yamal tree-ring temperature proxy. However, as the forthcoming UNIPCC AR5 report will demonstrate, increasing quality is sacrificed in promoting climate catastrophism.

F False Positives and False Negatives

A particular subset of the quality issue is that of false positives and false negatives. With activists pressuring governments and scientific bodies to agree with the dogma, and promotion of pejorative language (e.g. deniers, fake skeptics), misattribution of significant weather events to climate change is a consequence. Whilst in cancer screening there have been efforts made to reduce the number of false positives and false negatives, in climate science there seems to be every effort to increase the numbers of false positives. (Superstorm Sandy that hit New York state last year, the extreme heat wave in Europe in 2003, the low sea ice point in September 2012).

G Relevancy and significance

Some pieces of information, or scientific papers, are more important than others. The vast majority of papers published are on trivial issues and/or fail to make a lasting impact. In terms of catastrophic global warming, most papers in the field are tangential to the subject. The same is true of items of information, statistics and opinions.

H Necessary and Sufficient

For a climate policy to give net benefits, a number of conditions are necessary, both in the science (greenhouse gas effect, significant warming, adverse consequences) and in policy area (policy with theoretical net benefits > costs of doing nothing, large enough policy area, effective policy management). Sufficient for policy success (net policy benefits > costs of doing nothing) all are to some extent necessary. For policy failure, it is only sufficient for one of the necessary conditions to fail. It does not matter whether this is

–       climate sensitivity being much lower than assumed

–       or adaptation at the non-governmental local level is much more effective than assumed

–       or the net adverse consequences of any given amount of warming are grossly exaggerated

–       or the theoretical economic case for policy is flawed (such as demand for energy is far more inelastic with respect to price over time than assumed, or that renewable energy is not a close substitute to fossil fuel energy)

–       or the actual policy enacted does not encapsulate the economic theory, diluting or nullifying the effectiveness

–       or unilateralist policy where success requires that the vast majority of the biggest economies to participate

–       or the policy on paper is potentially successful, but it is not project managed to drive through the maximum benefits at least cost

I Levels of evidence

In the legal systems, especially in criminal law, it has long been recognized that there are different qualities of evidence. The strongest is DNA, fingerprints, or catching somebody in the act. There is then secondary evidence from witnesses. There is then circumstantial evidence, such as the accused being near to the scene at the time, with no clear reason to be there. The lowest form of evidence, and usually rejected, is hearsay evidence. That is opinions of people with little interest in the case, giving unsupported opinions. The judicial process also views more highly evidence that is corroborated by other pieces of evidence, and evidence that on its own seems quite strong is downgraded or ruled out by contrary evidence, or alternative explanations.

J Values of the Legal Process in Reverse

Climate science, fails to grapple with the grading of evidence, as some its strongest arguments – consensus amongst scientists – is actually hearsay. Improving the quality of evidence would mean critically examining past forecasts in the light of evidence. In the judicial process, creating prejudice in the eyes of the jury against the defendants, or seeking to deny the accused a defence, is forcefully dealt with. Creating prejudice and denying a voice to those who question the climate change dogmas is viewed as part of the cause.

K Underdetermination Thesis

“The underdetermination thesis – the idea that any body of evidence can be explained by any number of mutually incompatible theories”

Quote from Kuhn vs Popper – Steve Fuller 2003

The global warming hypothesis is but one of a number of hypotheses trying to explain why climate changes over time. The problem is not just of a potential number of competing theories. It is that there might be a number of different elements influencing climate, with the various weightings dependent on the method and assumptions in analysis. It is not just trying to determine which one, but which ones and to what extent that they interplay.

L Vulnerability

Every scientific hypothesis is vulnerable to being refuted. Human-caused catastrophic global warming (CAGW) is based on extremely tentative assumptions, and is a forecast of future events. As the warming the past one hundred years is tiny compared that forecast to happen in the future, and that warming is partly obscured by natural variations, then the signal of future catastrophe will be weak. The issue is further clouded by the lack of long periods of data on climate variability before when human emissions became significant. That is data prior to 1945, when the post war economic boom led to a huge increase in human emissions. Assuming the forecasts of CAGW are correct, the hypothesis becomes incredibly vulnerable to rejection.
But if CAGW is false, or massively exaggerated, then the hypothesis is deeply susceptible to confirmation bias by those who only look to find evidence of its truth. The core belief of climate science is that the catastrophist hypothesis is true and the job of the “science” is to reveal this truth. The core mission of many co-believers is to stop any questioning of these core beliefs. The alternative view is that evidence for CAGW has become stronger over the last twenty-five years, making the hypothesis less vulnerable over time. This can be tested by looking at the success of the short-term predictions.

M The Null Hypothesis

Wikipedia’s definition is

In statistical inference of observed data of a scientific experiment, the null hypothesis refers to a general or default position: that there is no relationship between two measured phenomena,…… Rejecting or disproving the null hypothesis – and thus concluding that there are grounds for believing that there is a relationship between two phenomena …………….. – is a central task in the modern practice of science, and gives a precise sense in which a claim is capable of being proven false.

It applies to AGW theory, as the hypotheses are empirical relationships. With highly complex, and essentially chaotic, systems it is only by confronting the data using a battery of statistical tests that you can disprove the null hypothesis. Without the null hypothesis, and without such rigorous testing, all the data and observations will only confirm what you want to believe. Some of the best established empirically-based hypotheses, like “HIV causes AIDS” and “long-term heavy smoking significantly reduces life expectancy” have been confronted with the null hypothesis many times against large, high quality data sets. At extremely high levels of significance, the null hypothesis of no relationship can be rejected.

It could be claimed that the null hypothesis in not applicable to AGW theory as it forecasts something much worse happening than has so far been experienced. However, it is more important because of this. There is no bridge between reality and the theoretical relationships (with assumed magnitudes) in the climate models. The null hypothesis (general or default position) for testing against actual data is not that there is no relationship, but the double-negative of no non-trivial relationship. So the null hypothesis for testing “CO2 causes warming”, is not “CO2 does not affect temperature”, but “CO2 has no non-trivial impact on warming”. The reason is that the claimed requirement for policy is avoidance of a climate catastrophe, with relationships being non-trivial in magnitude.

Showing Warming when it has Stopped

There has been no statistically significant warming for at least 15 years. Yet some people, like commentator “Michael the Realist”, who is currently trolling Joanne Nova’s blog, are claiming otherwise. For instance

Again look at the following graph.

Now let me explain it to the nth degree.
# The long term trend over the whole period is obviously up.
# The long term trend has pauses and dips due to natural variations but the trend is unchanged.
# The current period is at the top of the trend.
# 2001 to 2010 is the hottest decade on the record despite a preponderance of natural cooling trends. (globally, ocean, land and both hemispheres)
# Hotter than the previous decade of 1991 to 2000 with its preponderance of natural warming events.
# Every decade bar one has been hotter than the previous decade since 1901.

Please explain why the above is true if not AGW with proof.

State of the climate 2012
http://www.climate.gov/news-features/understanding-climate/state-climate-2012-highlights

The three highlighted comments are the ones that this posting addresses.

Using decadal average temperature changes to cover up the standstill.

The latest way to avoid the truth that warming has stopped for 15 years or more is by decadal averages. This can be illustrated by using an approximate model of the data. Assume constant average temperatures from 1960 to 1975, a linear warming of 0.6oC from 1976 to 1998, followed by a further standstill.


The decadal averages are


So, instead of 24 years of warming, it is 4 consecutive decades, that are each warmer than the last. The 2000s are warmer than the 1990s simply because there was warming the 1990s. It is political spin, relying on an ignorance of basic statistics, that is needed to make such claims.


Was the twentieth century warming mostly due to human emissions?

There has been no statistically significant warming for at least 15 years. Yet some people, like commentator “Michael the Realist”, who is currently trolling Joanne Nova’s blog, are claiming otherwise. His full claims are as follows

Again look at the following graph.

Now let me explain it to the nth degree.
# The long term trend over the whole period is obviously up.
# The long term trend has pauses and dips due to natural variations but the trend is unchanged.
# The current period is at the top of the trend.
# 2001 to 2010 is the hottest decade on the record despite a preponderance of natural cooling trends. (globally, ocean, land and both hemispheres)
# Hotter than the previous decade of 1991 to 2000 with its preponderance of natural warming events.
# Every decade bar one has been hotter than the previous decade since 1901.

Please explain why the above is true if not AGW with proof.

The claims against the warming standstill I will deal with in a later posting. Here I will look at whether the argument proves, beyond reasonable doubt, that AGW exists and is significant.

There might be a temperature series, but there is no data on greenhouse gases. There is data on the outcome, but there is no presentation of data on the alleged cause. It is like a prosecution conducting a murder trial with a dead body, with the cause of death not established, and no evidence presented linking the accused to the death. I will have to fill this bit in. The alleged cause of most of the twentieth century global warming is human greenhouse gas emissions. The primary greenhouse gas emission is CO2. First I will compare estimated global CO2 emissions with the warming trend. Second, I then show evidence that the twentieth century warming is nothing exceptional.

The relationship of CO2 emissions to average temperature is weak

Some time ago I downloaded estimates of national CO2 emissions data from what is now the CDIAC website, then in filled my own estimates for all major countries where there were data gaps, using the patterns of other countries and my knowledge of economic history. This shows steady growth up to 1945 (with dips in WW1, the Great Depression and at the end of WW2) The post war economic boom, the 1973 oil crisis, the recession of 1980-81 and the credit crunch of 2008 are clearly visible. It therefore seems reasonable and not too dissimilar from the increase in atmospheric CO2 levels.


I have charted the growth in human CO2 emissions against the HADCRUT3 data, putting them on a comparative scale. The 5 year moving average temperature increased by around 0.5oC between 1910 and 1944 and 0.6oC between 1977 and 2004. In the former period, estimated CO2 emissions increased from 0.8 to 1.4 giga tonnes. In the latter period, estimated CO2 emissions increased from 4.9 to 7.4 giga tonnes. The period in between the 5 year moving average temperature decreased very slightly and CO2 emissions increased from 1.4 to 4.9 giga tonnes. 1945 and the late 1998 have two things in common – the start of a stall in average surface temperature increases and an acceleration in the CO2 emission rate of increase. On the face of it, in so far as there is a relationship between CO2 emissions and temperature, it seems to be a pretty weak one.

The longer view

The case for claiming human emissions affect temperature is even weaker if you take a longer perspective. Human CO2 emissions were negligable before the industrial revolution, yet there is plenty of evidence that temperatures have shown larger fluctuations in last couple of millennia. Four example are Law Dome, Esper et al 2012, Gergis et al 2012 and the CO2 Science website.

This Law Dome ice cores are the highest quality ice cores in Antarctica.


There seems to be no warming there at all. With 75% of the global ice packs in Antarctica it is fortunate that there is nothing exceptional about Antarctica warming. But maybe the Arctic is different.

Esper et al 2012, published in Nature, has the following Summer temperature reconstruction for Northern Scandinavia over two millennia.


There is a twentieth century uptick, but only in the context of a long term cooling trend.

Focussing on the last 130 years shows something at odds with the global position.


The highest temperatures were in the 1930s, just like the record temperatures in the USA. The warming trend from the mid-1970s is still far greater than the global averages, but less than the warming trends in the early twentieth century. It corroborates data that shows recent warming trends are higher in the Arctic than the global average, but also shows claims that there is nothing significant in these trends.

I find the most convincing evidence is from the withdrawn Gergis 2012 temperature reconstruction for the combined land and oceanic region of Australasia (0°S-50°S, 110°E-180°E). This is because it set out with the aim of showing the opposite – that the recent warming was much more significant than anything in the last millennium. Despite breaking their own selection rules for proxies, they managed to only demonstrate that the last decade of the last millennium the warmest by the narrowest of margins. See below.


There are many reasons to reject the paper (see here), but one significant point can be illustrated. There were only three reconstructions had any data prior to 1430. There were two tree ring studies from New Zealand, and coral study from Palmyra Atoll. Plotting the decadal averages shows that the erratic Palmyra data suppresses the medieval period and exaggerates the late twentieth century warming. Further, Palmyra Atoll is over 2000 km outside the study area.


Finally, CO2Science.org specialises in accumulating evidence of the impacts of CO2. It also has a database of studies on the medieval warm period. There is a graph that summarizes the quantitative studies


Figure Description: The distribution, in 0.5°C increments, of Level 1 Studies that allow one

to identify the degree by which peak Medieval Warm Period temperatures either exceeded

(positive values, red) or fell short of (negative values, blue) peak Current Warm Period

temperatures.

In conclusion, on the face of it, there is very weak support for human emissions being the cause of most of the warming in the last century by the fact that changes in human emissions do not appear to move in line with changes in temperature. The case is further weakened by evidence that at times in the last 2000 years were warmer than in the current period. It does not discount the possibility that human emissions are responsible for some of the warming. But demonstrating that empirically would mean understanding and accurately measuring the full extent of the natural processes, then demonstrating that these were not operating as strongly as in previous epochs. By definition, the evidence will be more circumstantial than if there was a direct correlation. Furthermore, the larger the actual human impact the more circumstantial will be the evidence.

NOAA Greenland Ice Sheet Report Card 2012 – False Statement on Ice Mass Balance Change

There is an error with my interpretation of the graph. Please see comment

On 14th January 2013, NOAA produced a 2012 report on the Greenland Ice Sheet by Box et al.

Under the section “Greenland Mass Changes from GRACE“, is contained the following graphic as Fig 5.19.


The Velicogna and Wahr 2006 citation should set alarm bells ringing for the following reasons.

  1. The paper only included observations to the end of April 2006. From 49 months of data the graph extrapolates a trend 74 months ahead.
  2. The title is “Acceleration of Greenland ice mass loss in spring 2004″. This should suggest that the authors found a discontinuity in the series bang slap in the middle of the data set. To quote the paper,

    A fit to the GRACE results for all Greenland before and after April 2004 yielded ice loss trends of 104 +/- 54 km3 yr-1 during April 2002–April 2004, and 342 +/- 66 km3 yr-1 during May 2004–April 2006.

    That is the author’s found two functions. There is no quadratic function with 49 months of data to extrapolate, but two linear functions. The latter has just 24 months of data.

  3. The satellite is still operating, churning out data, and there are more recent scientific papers, with much better data. I have put some suggestions in a table below.
  4. Sea level rise trend has remained more or less linear at around 3.2mm per year over the last twenty years. So, if this graph is accurate, the contribution from Greenland ice melt has risen from 0% to 250% of the sea level rise in a decade. By implication, the contribution of all other factors (including Antarctica ice melt and cooling of the oceans) has slipped from 100% to -150% in the same period.



The Shepard paper has 47 authors, including Velicogna, Wahr, and 4 of the 5 contributors to Rignot 2011. Although only published weeks before the NOAA report card, John Wahr was an author on both.

Isabella Velicogna was co-author of both Rignot and Sheppard paper, but the Velicogna Research Group still posts up an updated graph from Velicogna 2009, in the full knowledge that that its 2012 predictions have been falsified by higher quality scientific papers that the professor has co-authored.

Finally, although the Shepard paper is likely to be the most accurate, total polar ice melt is modelled to have risen from 10% to 30% of sea level rise in 20 years. It would be an interesting exercise to try to reconcile the difference.

In summary, Fig 5.19 of the NOAA gives a modelled ice melt for Greenland Ice Sheet Report Card 2012 that is more than ten times the value of much more recent and higher quality data. Further, the expert on ice melt, John Wahr, was a co-author of the unpublished data, and therefore would have known that the graph did not fit experience. The other climate scientists should have enough knowledge of the rest of climatology to know that the graph was totally out of line with the consensus estimates of sea level rise.

Kevin Marshall

Rignot, E., I. Velicogna, M. R. van den Broeke, A. Monaghan, and J. Lenaerts (2011), Acceleration of the contribution of the Greenland and Antarctic ice sheets to sea level rise, Geophys. Res. Lett., 38,

Shepard et al. 2012. A Reconciled Estimate of Ice-Sheet Mass Balance, Science 338, 1183 (2012); DOI: 10.1126/science.1228102

Velicogna, I. (2009), Increasing rates of ice mass loss from the Greenland and Antarctic ice sheets revealed by GRACE, Geophys. Res. Lett., 36, L19503, doi:10.1029/2009GL040222

Velicogna, I. and J. Wahr. 2006. Acceleration of Greenland ice mass loss in spring 2004. Nature, 443(7109), 329-331. doi:10.1038/Nature05168.


Ed Davey’s anti-science, anti-British and anti-Liberal attack on Climate Sceptics

Ed Davey, Secretary of State for Climate and Energy has, according to the Telegraph recently said

“Of course there will always be uncertainties within climate science and the need for research to continue.

I agree that there are uncertainties with climate science. But if you only allow believers in that “science” to contribute, without any training in decision-making under conditions of uncertainty, then the conclusions drawn out of that research will be wrong.

“But some sections of the press are giving an uncritical campaigning platform to individuals and lobby groups,”

Such as the Guardian, the BBC, or central government departments? It can work both ways.

“This is not the serious science of challenging, checking and probing.”

Are you speaking of sceptics or of climatology? You must first establish that climatology is not just a science, but is a science of the highest standards.

“This is destructive and loudly clamouring scepticism born of vested interest, nimbyism, publicity seeking contraversialism or sheer blinkered, dogmatic, political bloody-mindedness.”

Matthew 7:3-5 says

Why do you stare at the splinter in your neighbour’s eye, but ignore the plank in your own? How can you say to your neighbour “Here – let me get the splinter out of your eye,” when you’ve got the plank in your own? You’re just play-acting! First take the plank out of your own eye, then you’ll see clearly to take the splinter out of your neighbour’s eye.”

These two thousand year old words, translated by Tom Wright (Britain’s leading New Testament Scholar and former Bishop of Durham), show the issue of climatology. Professor Stephan Lewandowsky or Bob Ward, or desmogblog are some of the “planks” that deliberately blind and prejudice people from examining the evidence, moral and political arguments for themselves. Putting in a milder fashion, you cannot say that people are wrong, or have a massively inferior argument, if you cannot first demonstrate that you are on the side of truth, or encourage others compare and contrast your arguments with the opponents. As I posted last week, there is a strong lack of a positive case for the science. As I posted last week, this should be a combination of trumpeting the short-term predictive successes, showing that climate science build on the traditions of the greatest scientists and philosophies of science and also of the moral case covered below.

“This tendency will seize upon the normal expression of scientific uncertainty and portray it as proof that all climate change policy is hopelessly misguided.”

Rubbish. Criticism of policy is often for separate reasons to scientific uncertainty. The argument is that the costs of policy are far greater than then benefits. Some of the policy might be totally ineffective, or in trying to reduce CO2 emissions may make people less capable of dealing with the impacts, through making them poorer.

He added: “By selectively misreading the evidence, they seek to suggest that climate change has stopped so we can all relax and burn all the dirty fuel we want without a care.”

Sceptics say that climatologists selectively read the evidence. Many would say that increased CO2 provides net benefits, and I do not come across any blog that we should create general pollution without a care. Many of the leading sceptic blogs (WUWT, BishopHill, Jo Nova) accept that increased greenhouse gases will lead to some level of warming, but not a significant one. As put by Warren Meyer, most sceptics deny the catastrophe, not the basic science.

“Those who argue against all the actions we are taking to reduce emissions, without any serious and viable alternative, are asking us to take a massive gamble with the planet our children will inherit, in the face of all the evidence, against overwhelming odds.”

I believe that morally politicians should act like medical professionals. They should have a duty of care towards the patient. That duty should be based on the reasonable expectation that treatment will leave the patient better off than not being treated at all. If anyone claims that climatology and public-policy making have the same level of knowledge of diagnosis and treatment as medical professionals and pharmacy on such ailments as common cancers or arthritis, then they are wrong. I would say that climate “ethics” needs to catch up with medical ethics as well.

Finally, let me point to four areas where Ed Davey is severely out of line.

First, my late father voted for the Liberal Party for over 50 years at every election – bar at one local election where no Liberal was standing. Then he voted for the underdog Conservative candidate. He believed in the consensus through seeking the middle ground, a thoroughly British trait. This middle ground was the opposite of the extremism of climatology, which is increasingly about demeaning the opposition and denying them a platform to speak.

Second, a virtue of English Common Law is that of letting the accused have the same rights of presentation, and to have the same rules of evidence as for the prosecution. This is not in the belief that the most notorious criminals can get off scot free. It is because the most guilty who proclaim their innocence will most convince an independent jury of their guilt as their lies and ridiculous stories unravel. On the other side, if the prosecution, convinced of the guilt of the accused perverts or supresses the evidence, the later unravelling of the case will undermine the rule of law. It did with the Guildford Four and the Birmingham Six, men falsely sentenced for heinous crimes that they did not commit. Another example is that I strongly believe that those who do not accept that around six million Jews were massacred in the Nazi genocide should not be silenced. Rather, comparing their evidence will the overwhelming evidence of the historical truth will demonstrated that there is no debate, and those deniers are have an inability to assess the evidence. Silencing such views will lead to false conspiracy theories that there is something to hide.

Third, is the British sense of fair play. The very British idea of having a level playing field is not unconnected to the fact that most major sports are British inventions, or have been strongly influenced by British rule-making. Winning is not at any cost is not the point. It is playing the game to the best of one’s ability. There is a lesson in life as well. Somebody might be far superior in a sport, or in science, or in any intellectual field, than anyone else alive. But it is only by going head-to-head with others that everyone will be convinced. But in losing in sport, we go back and try harder. If we are beaten in science, we are forced to re-examine our conclusions, and may improve. Finding out where we went wrong, or how to improve from failures is a general lesson in life. Within wider society it leads to improvement.

Fourth is something very anti-British. The most evil powers, whether governments, religious cults or tribal gangs, are those who assert their power by belittling and silencing others. Ed Davey and climatologists are not in their league by any means. But they fall into a false sense of superiority by demeaning others. It is a very human trait to practice this, but has mostly held back humanity.

The previous Secretary of State, Chris Huhne, earlier this year convicted of perverting the course of justice, was similarly dogmatic. Why there should be two ministers so at odds with the older philosophy of the moderate Liberal Party traditions is the subject of the next post.

Lamar Smith and Implementing effective policy on climate change

There has been considerable ire directed at Texan Congressman Lamar Smith for his Washington Post Op-Ed entitled “Overheated rhetoric on climate change doesn’t make for good policies


Lamar begins

Climate change is an issue that needs to be discussed thoughtfully and objectively. Unfortunately, claims that distort the facts hinder the legitimate evaluation of policy options

Lamar concludes

Instead of pursuing heavy-handed regulations that imperil U.S. jobs and send jobs (and their emissions) overseas, we should take a step back from the unfounded claims of impending catastrophe and think critically about the challenge before us. Designing an appropriate public policy response to this challenge will require that we fully assess the facts and the uncertainties surrounding this issue, and that we set aside the hyped rhetoric.

I could not agree more. Judith Curry shows that the so-called “scientific” criticism is less balanced than the politician’s initial comments.

To think critically and objectively about any complex problem, it needs to be broken down into sub-sections with relevant areas of expertise. This is no more important in climate change policy, which science demands belief and people get lost in irrelevant detail. A starting point is to divide the issue into three parts, with the relevant experts in brackets.

1. Whether there is a potential problem. (Scientists)

2. Whether that potential problem is non-trivial. (Economists interpreting the scientists work)

3. Whether there is the ability to do something positive about that problem. (Economists and public policy-makers to formulate any policy. Economist/auditors, with some input from scientists, to interpret the results.)

1. Whether there is a potential problem.

The potential problem most would accept. Increase the level of greenhouse gases and average temperatures goes increase. It actually folds into the second.

2. Whether that potential problem is non-trivial.

But the second is far more important. The starting point to see if the size of the problem, it to break any potential impacts down into the components of magnitude, likelihood, time for changes to occur and the weighting that can be given to the scientific evidence. This is discussed here. Like in many other areas, the weighting we give to expert opinion should be based on a track record. Climate science is still very much in its infancy and many of the projected signposts were either wrong (worsening storms, accelerating sea level rises) or much too extreme (temperature rises). In fact any alleged successes are either through luck or through the initial prediction being so vague that it could hardly fail to be correct. There should also be a recognition concerning any potential benefits. For instance, Scotland would benefit from being a tad warmer, and increased CO2 may help plant growth. There is also a question of the quality of the climate model projections. There seems little or attempt at quality improvement through learning from past mistakes and building on successes. Further I see plenty of claims of being on the side of peer-reviewed science, and on consensus, whilst have a huge public-relations effort but little about building on the traditions of the greatest scientists, or learning from the philosophers of science. “Climate Science” seems somewhat out of that mainstream.

3. Whether there is the ability to do something positive about that problem.

The third is where the policy-makers step in. Are they able to deliver a policy that will tackle the issues at a lower costs than the benefits? To give a medical analogy, have they sufficient qualifications and the moral duty of care, that where they inflict painful treatments, the patient (the human race and/or Mother Gaia) is better off than if they had done nothing. Given the massive policy failures so far, the answer seems highly negative. Given that much of the effort is going into shutting down and policy discussion by believers in the science and in the policy, failures seem set to continue through deliberate negligence of this issue.

To take the medical analogy further, treatment is tempered by the uniqueness of the ailment and the track record in treating that ailment. For instance hip replacements have been performed for many years and are quite frequent, so the risks and pain of treatment, along with the mortality rates are known. So an otherwise reasonably healthy person of forty whose hip joints need replacing to enable them to walk would be recommended for the operation. A frail ninety year old would not. But we have never had human-caused climate change before. Indeed, there is a huge dispute about how serious the symptoms will actually be. They have not come to fruition just yet. Furthermore the “treatment” has not been properly tested. Neither have those devising the treatment any sort of qualifications or track record in devising similar treatments. Why do I know this? Because there has never been a global initiative to use economic tools to drive through a solution to a problem whose outward characteristics (though not necessarily the causes) are a naturally-occurring phenomena, neither are involved people who have experience is getting consensus on global issues, such as nuclear non-proliferation.

Note on the Moral View

I have a strong moral view that politicians should act to make the world a better place, as the underlying desired outcome of public service. It can be on the world stage or in a local community. Climate policy means imposing costs now to avoid much higher costs later. It might be a simplistic and naïve view, but the opposite – that politicians work to make a net negative impact, or do not care what effect they have, or simply work to serve some small factional interest (and to hell with everybody else) – are views that are at least distasteful and at worst downright evil. Like a medical professional, they have a duty of care to make sure there is a reasonable expectation that net positive outcomes will happen, and to monitor that progress.

Kevin Marshall