William Connolley supports the climate faith against expert opinions

Of the current litigation by Prof. Michael Mann against The National Review and Mark Steyn, William Connolley (the Stoat) states:-

By supporting the SLAPP filing, Steyn is running away.

My reply is

You are wrong.

Steyn’s Amicus Curiae states

In particular, Steyn supports the use of the D.C. Anti-SLAPP Act to combat attempts by Plaintiff-Appellee and others to stifle public debate via the threat of protracted and inevitably expensive litigation. But in this case the anti-SLAPP process itself ……… has been manipulated by plaintiff-appellee Mann to become merely an additional phase of protracted procedural punishment.

Steyn further accuses Mann of “venue shopping” (as neither party has any connection with D.C.) and of delaying trial. He also ups the ante by accusing Mann of fraudulent claims, including that Mann was a Nobel Laureate, and that he was “exonerated” by a British Climategate Enquiry that never even mentioned him.

Steyn added:

It is clear from the ease with which Mann lies about things that would not withstand ten minutes of scrutiny in a courtroom that he has no intention of proceeding to trial.

Steyn is supported in his appeal by a separate brief undersigned by numerous organisations, such as the American Civil Liberties Union, Time Inc, The National Press Association, and Bloomberg.

To cap it all, Steyn is further supported by another brief from the District of Columbia, who view Mann’s case as being the opposite of what their anti-SLAPP legislation intended.

So there seems to be a choice here:-

Either

You view that acceptance into the consensus cult of climatology gives you superior insights into everything, including statistics, philosophy of science, economics, public policy making, evidence evaluation, etymology and ethics.

Or

You believe that by specializing in particular applied subject area; and comparing and contrasting views within that area; and learning from what others say in areas that impinge upon the applied specialism; and by having a wider understanding of other areas – that you may through study and application possibly gain both a deep understanding of that specialism and be able to assess the specialism in the wider context of other academic subjects and extent of knowledge and boundaries of the specialism.

 

Understanding the role of Peer Review

In “Newton, Einstein, Watson and Crick, were not peer reviewed“, Jo Nova questions whether peer review is valid at all. I think the answer is somewhat more nuanced. This is an extended version of a comment made.

Before dismissing peer review, we should ask are the boundaries of peer review. That is what peer review can achieve and what it cannot.

Proper peer review should check that the thesis of paper is original and properly references other works in the field. It should also make sure that the claims made are coherent, not demonstrably false, have a reason (or reasons) for originality, and all assumptions are clearly stated. It might also check to ensure that certain ethical boundaries are not breached. There is more basic checking, like that of an editor.

Peer review cannot determine if the following criteria are valid:-

(1) The ultimate truth. Make sure that the claims made are the last word on the subject. That is the thesis will never be falsified, contradicted, or supplanted by more general theories.

(2) The best to date. Determine that the thesis is superior to what is already available. There is a place for literature reviews to compare and contrast the existing body of knowledge.(i)

(3) That every point is correct, or every assumption known and stated.

(4) That every conjecture that the paper is built upon is correct, or every assumption is valid. Certain stated hypotheses or conjectures might be themselves based upon other conjectures. Assumptions might be accepted, but be false or exclude other, contradictory but quite valid, lines of enquiry.

(5) That a paper is hugely significant, or of little consequence.

(6) That a paper is of outstanding quality, against mediocre.

(7) That the absence of, superior, contradictory views in the academic literature is not a demonstration of the truth or quality of a research program.

Academic study is a combination of building on the work of that has gone before, whilst noticing the empirical or logical gaps and anomalies. It can be quite valid to making conjectures upon conjectures, as long as you do not lose sight that the falsification of a root conjecture will partially or completely undermine every piece of work built upon it.(ii) In climatology the vast majority of papers are built upon looking at the consequences of the catastrophic warming hypothesis. Falsifying CAGW will mean entire research programs will be null and void. That includes many studies in other areas such as economics and public-policy making.

 

Notes

  1. For instance, the Journal of Economic Literature has long-performed this service in economics.
  2. Until Andrew Wiles proved Fermat’s last theorem, large areas of mathematical proofs relied upon a conjecture. Watch the video here.

Extreme Socialist-Environmentalist Ideation as Motivation for belief in “Climate Science”

Summary

Professors Lewandowsky, Oberauer & Gignac have now produced papers two internet opinion surveys. The “Hoax” paper was from a survey placement on pro-climate science blogs. The second was from a cross-section of the US population. Both claim evidence that the rejection of “climate science” is associated with extreme “free-market worldviews”. I find two opinion surveys do show a clear relationship between the agreement with “free-market” statements and disagreement with the “climate science” statements. But in US survey clearly shows that extreme views on both “free-market” and “climate science” statements are held by tiny minorities, with most occupying the middle ground. Conversely the blog survey is dominated by responses that are both pro “climate science” and anti “free-market”. There is no evidence from the papers that enlightened expert scientists and their supporters are trying to save the world from an avoidable catastrophe, but plenty of evidence that people with strong and dogmatic political beliefs are using “climate science” as a vehicle to foist those beliefs on everybody else.

 

Introduction

Professors Lewandowsky, Oberauer & Gignac have now produced two opinion surveys that, they claimed certain political views were behind rejection of “climate science”. In “NASA faked the moon landing:Therefore (Climate) Science is a Hoax: An Anatomy of the Motivated Rejection of Science (hereafter LOG12 (blog survey)), they say

..we find that endorsement of a laissez-faire conception of free-market economics predicts rejection of climate science.

In “The Role of Conspiracist Ideation and Worldviews in Predicting Rejection of Science” (hereafter LOG13 (US survey)), they say

Free-market worldviews are an important predictor of the rejection of scientific findings that have potential regulatory implications, such as climate science, but not necessarily of other scientific issues.

I have previously looked at the other major claim of the two studies – that conspiracist ideation leads to a rejection of science. This claim I found to be false when looking at conspiracy theories unrelated to science or policy.

In examining the relationship, I first look at the “climate science” belief against aggregate “free-market” statements. This is then put in the context of number of respondents. Then I examine the evidence presented as to whether “climate science” informs political choices of its supporters, and for the contrary view.

 

Evidence for “Free-market” views and rejection of “Climate-Science”

For LOG13 (US survey) study I have plotted the distribution of belief in “climate science” against belief in “free-markets”. With five “free-market” statements and options 1 to 5, the possible scores are 5 to 25. Please note that the X axis is reversed. That is, moving from left to right increases with the rejection of free markets. This is plotted against the rounded average response to the four “climate science” questions1. This “climate science” band I have colour-coded by a traffic light system, with red for reject, amber for neutral and green for accept.

The highest scores for “free-market” statements have a preponderance of the red and pink for net reject of for “climate science”. Conversely, strong belief in “climate science” is related to anti “free-market” statements, with those with no net belief either way on climate most thickly spread over the middle ground of political opinion.

This is shown by the “climate science” acceptance ratios2 against the “free-market” scores.

The graph clearly shows that the higher the score for free markets, the greater the rejection of “climate science”. The reverse relationship is not so clear-cut. Responses with the most extreme anti “free-market” opinions are not the strongest accepters of “climate science”. Further those who are in middle on the political scale are also net neutral on the climate issue.

The LOG12 (blog survey) has one extra “free-market” statement. This I have ignored for this study. With only were only four responses to each statement the aggregate possible scores range for five statements 5 to 20. Lack of a neutral option means lack of the amber “climate science band”.

Even allowing for the absence of a neutral amber option, the proportion of respondents taking the more extreme positions on climate appears much greater. This is clarified by the climate acceptance ratios.

Compared with the US population, in the blog survey rejection of the “free-market” is a much stronger predictor of the acceptance of “climate science”. Conversely, acceptance of the “free-market” is not quite so strongly associated with rejection of “climate science”, but it is still a strong association.

 

Numbers of Respondents

In the above I have only looked at the split belief respondents for each “free-market” score. Including the number of respondents helps clarify the picture.

 

There is a normal distribution of responses on “free-market” beliefs. Over a quarter of responses were net neutral. The most frequent “climate science” band is amber, with 423 (42%) of responses. The overall climate acceptance ratio is 0.09. That is the American public are neutral on “climate science”, with “accepters” being almost exactly offset by “rejecters”. Strong belief in climate change is the preserve of a small minority. Further, although the majority of the 44 responses on climate band 5 net reject the “free-market”, 13 are net accepters and 3 are neutral. Every indication is that the American public does not view global warming a pressing problem.

So where do those who frequent “pro-climate science” blogs stand?

Compared to the US public, the vast majority of respondents on the blog survey were strongly anti-free-market and also presented a very strong belief in “climate science”. The dark green strong accepters of “climate science” form 69% of total responses, outnumbering the strong rejecters more than 10 to 1. In all the furore over the blog survey paper, there was little mention, apart from by me, that a study was published on a group of people that were a very small minority of the total responses, and accessed only from blogs that are virulently hostile to their views. But for that very reason, it becomes a very good survey of the beliefs of the most fervent supporters of “climate science”.

So which comes first for these dogmatic supporters? Is it the evidence of science that leads to the necessary political policies? Or is “climate science” just a means to subvert the democratic process, and impose extreme political or pseudo-religious beliefs?

 

Does
Climate Science
lead or follow Political belief?

If belief in the projected harm of rising greenhouse gas levels, the policy used to combat that issue would be closely derived from it, and tailored to it. Much in the same way that cancer treatments are closely tailored to the needs of the patient, taking into account both the effectiveness and harms of the treatment. If it is the other way round, then there will be leaps of faith, and biases all over the place.

The evidence of the two papers, and the writings of lead author Stephen Lewandowsky, show the authors to be upholding political beliefs as the driver of belief in science. Examples include

  1. The LOG12 (blog survey) paper fails to reference any overwhelming scientific evidence in favour of the catastrophic global warming hypothesis. The evidence is that the vast majority of climate scientists believe in trivial propositions. There is no evidence presented of belief in extreme versions of “climate change” by the experts. Nor is there evidence that climate scientists” are free of the normal motivations for studying a subject. That is belief in the value of the subject.
  2. The use of the term “climate denial” suggests that, for the authors, “the catastrophic global warming hypothesis” is not a normal scientific hypothesis capable of falsification by the evidence, but a self-evident truth. Thus anybody who disagrees must do so from some errant thought processes. By implication, a “free-market worldview” is also based on a set of errant beliefs.
  3. The language of the LOG13 (US survey) suggests a bias. This quote from the introduction

    People who embrace a laissez-faire vision of the free market are …… than people with an egalitarian-communitarian outlook.

    The normal term for people with a “laissez-faire vision” is “libertarian”, with the antonym being “authoritarian”. The author’s outlook is more socialist and environmentalist. The authors avoid using more meaningful terms, as that would create prejudice against their conclusions.

  4. Failure to recognise bias in the questions. Three of the five “free-market” questions contrast with an “environmentalist” alternative. Therefore, it should be no surprise that a conclusion is reached that people with a libertarian outlook “are less likely to accept that anthropogenic greenhouse gas emissions are warming the planet than people with” socialist- environmentalist views.
  5. Failure to acknowledge that the rejection of “climate science” on political grounds could be because no distinction is made in the public domain between science and policy. People who question policy, whether of wind farms or rising costs of energy, are accused of science denial. Further, the LOG12 (blog survey) shows that the strongest supporters of “climate science” believe the association.
  6. Failure to acknowledge that the language of “climate science” is similar to the language of politics, as opposed to the language of hard sciences or engineering. Particularly when some of the short-term prophesies have been contradicted, we get mealy-mouthed excuses and ex-poste justifications. Mike Haseler’s recent survey of opinions from sceptic blogs found

    ..that most of the 5,000 respondents were experienced engineers, scientists and IT professionals, most degree-qualified and around a third with post-graduate qualifications.

    People used to precise measurements and judging success by results will think “climate scientists” talk rubbish. On the other hand, mainstream politicians will understand it.

The overwhelming evidence for catastrophic climate change, the analysis of policy effectiveness and the guidelines for effective policy implementation are totally lacking.

 

Final Comments

What is clear from the US survey is that those with extreme belief in both climate science and socialist-environmentalist views are very few. Further, the studies present no evidence that the “scientific” views are anything more than something that those with extreme left beliefs have arrogated to push their dogmatic opinions. Yet climate mitigation means essentially removing individual freedom on certain lifestyles and democratic choice from energy policy, placing it in the hands of people with extremist and intolerant beliefs. It is not just people who oppose “climate change” who will be no longer have their opinions represented, but (in the case of the USA) the vast majority of the population.

I have found these results by various trying different hypotheses, along with comparing and contrasting between the two surveys. I have only shown my results graphically. The statistical significance of the conclusions can be calculated by others. The key relationship is in the blog survey, for the 955 responses that express overall support for the climate science statements (score 11 to 16). Magnitude of disagreement with the “free-market statements” is a strong predictor of magnitude of support for the “climate science”.

There is also a need for evaluations of the surveys by professional opinion pollsters and occupational psychologists, with experience of setting opinion surveys.

All first time comments are moderated. Please use the comments as a point of contact. I will not publish approaches in this way. All email addresses are treated as confidential. The opinions expressed are my own, and I have received no funding for this work.

Kevin Marshall

 Note – “Out of Office” until 11th Aug

Notes

  1. Climate Science Bands

    In the LOG13 questionnaire there were 5 options, from 1 for “strongly disagree” to 5 for “strongly agree”. For each respondent, the “Climate Science Band” is obtained by the rounding the average of the questions to the nearest whole number. These bands are traffic light coded as below.


    LOG12 (blog survey) did not have a neutral option, hence there is no amber.

     

  2. Acceptance Ratio

    There are two issues with using the average responses. First is that a negative response is a positive number. Second is that LOG12 had only four possible responses for each question, whereas LOG13 had five with the addition of a middle neutral, option. The Acceptance Ratio converts the responses as follows.


    Please note, that the calculation of the acceptance ratio is calculated from average responses to all the “climate change” questions and not on the average of the “Climate change bands.

     

  3. The five “Free-market” statements

    FMUnresBest     An economic system based on free markets unrestrained by government interference automatically works best to meet human needs.

    FMLimitSocial     The free market system may be efficient for resource allocation but it is limited in its capacity to promote social justice. (R)

    FMMoreImp     The preservation of the free market system is more important than localized environmental concerns.

    FMThreatEnv     Free and unregulated markets pose important threats to sustainable development. (R)

    FMUnsustain     The free market system is likely to promote unsustainable consumption. (R)

     

     

 

Lewandowsky – Climate Scientists should be listened to because they are wrong

Stephen Lewandowsky has another couple of papers out. From e! Science News

Scientific uncertainty has been described as a ‘monster’ that prevents understanding and delays mitigative action in response to climate change. New research by Professor Stephan Lewandowsky of the University of Bristol, and international colleagues, shows that uncertainty should make us more rather than less concerned about climate change. In two companion papers, published today in Climatic Change, the researchers investigated the mathematics of uncertainty in the climate system and showed that increased scientific uncertainty necessitates even greater action to mitigate climate change.

The scientists used an ordinal approach — a range of mathematical methods that address the question: ‘What would the consequences be if uncertainty is even greater than we think it is?’

And

Professor Stephan Lewandowsky, Chair in Cognitive Psychology and member of the Cabot Institute at the University of Bristol, said: “We can understand the implications of uncertainty, and in the case of the climate system, it is very clear that greater uncertainty will make things even worse. This means that we can never say that there is too much uncertainty for us to act. If you appeal to uncertainty to make a policy decision the legitimate conclusion is to increase the urgency of mitigation.”

Co-author, Dr James Risbey of Australia’s CSIRO Marine and Atmospheric Research, said: “Some point to uncertainty as a way to minimize the climate change problem, when in fact it means that the problem is more likely to be worse than expected in the absence of that uncertainty. This result is robust to a range of assumptions and shows that uncertainty does not excuse inaction.”

If we assume that catastrophic climate change is a fundamental truth, the authors are right. The task of climate science is to reveal that truth to the world. If that truth cannot be accurately accessed, then the consequences of unmitigated climate change will be greater than if they could be. But if there is no fundamental truth to be revealed then all what you have is a number of dogmatic people who cannot accept that their theories are not backed by the evidence. The failure to understand the path to climate catastrophe might be due to no climate catastrophe in prospect. Persistent failures increase the likelihood that the belief in the fundamental truth of climate catastrophism is just a cult. Circumstantial evidence is in the unique methods and language of the “science”; moral certitude; failure to appreciate climate change could be a trivial problem; belief in their infallibility; reliance on belief in science, as opposed to accepting science that fails to be falsified; failure to recognize that those who disagree may also have valid viewpoint; and the denigration of anybody who asks questions as heretics deniers. Further, the solution is always the same, fitting in with an extremist socialist-environmentalist world view. There is no recognition that mitigation policies can fail. If mitigation can avert climate catastrophe it is a tautology to state that if mitigation is only practiced in a few minor emitting countries, those countries will bear all the cost of policies, and future generations will endure virtually all the consequences. The same is tautological truth applies if mitigation is practiced globally, but fails to reduce emissions.

The pay walled papers are here and here.

Kevin Marshall

Update :Jo Nova has a satirical take on the latest Lew papers.

http://joannenova.com.au/2014/04/new-lewandowsky-study-finds-uncertainty-monster-under-his-bed-will-cost-billions/

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. 

AGW – The Limits of the Science

Just posted to Wattsupwiththat.

To say that we cannot make any predictions from models is inaccurate. However, a combination of the scarcity / inaccuracy of data and the highly complex nature of climate systems severely limit what we can be extrapolated. We are restricted to the most basic of “pattern predictions”. With respect to future temperature changes this is most probably restricted to the range of longer-term (30 plus years) trends. Prof. Bob Carter’s analysis is probably as far as we can go on the available data. That is we have a uniform, increasing, average temperature trend over the last 150 years, with 60 year cycles providing deviations around this trend. This trend is unexceptional when viewed from temperature data from ice-cores going back hundreds of thousands of years.

The attempt to cast every unusual weather event in terms of anthropogenic warming, and only selecting the data that fits the theories, not only risks policies that are inappropriate. It may lead us in failing to pick up the signals of potential trends for which the signal is weak, or where detection is from trends or patterns that do not fit theory. For example my house, along with hundreds of others in the area has been without water for over twelve hours now due to a burst water main, caused by the severe cold. A contributing factor to the delay in repair was the lack of resource available. Too much reliance on speculative forecasts of increasingly mild winters, and snow being a rare event has virtually eliminated contingency planning for extreme cold. Yet natural factors (e.g. La Nina, lack of sunspots) would have suggested otherwise.

The AGW science is not only costing us more for fuel. It is also putting us at greater risk of the consequences of extreme weather.

For Robert Carter’s views, see a video at http://video.google.com/videoplay?docid=-1326937617167558947#

Considering Uncertainty in Climate Science

Sir John Bedddington, provides the introduction to a summary of “The Science of Climate change” on  UK Business Department website. He states

            “The fact that uncertainty exists in climate science, as it does in other fields, does not negate the value of the evidence – and it is important to recognise that uncertainty may go in both (or a number of) directions.”

This may be true in a new field, but there is evidence that where the consensus is concerned, when assumptions have to be made, or choices made between different scientific conclusions, there has been a very strong bias towards the more alarmist conclusions. For instance,

  1. The emphasis on positive feedbacks;
  2. The over-statement of climate sensitivities;
  3. The promotion of the hockey stick as secondary verification of recent warming being largely due to anthropogenic factors.
  4. Further there has been a public relations failure to challenge unsound science, or wild predictions, or false confirmations.
  5. Neither have there been any consensus scientists standing up to emphasise that the model scenarios of future temperature changes are not forecasts

The consequence of recognising uncertainty means that an audit is required of the total picture. Each part of the science needs to be graded according to the certainties. Most certain is that a massive increase in greenhouse gases will, ceteris paribus, cause a rise in temperature. At the other extreme are predictions that within a generation the Arctic Ocean will be ice-free in summer, or the Himalayan glaciers will have vanished, or the Maldives will disappear beneath the waves. The rhetoric needs to be replaced by establishing the case on a scientific basis. It is not sufficient to say that there is uncertainty and move on as is nothing had happened. The presence of uncertainty severely weakens the claim that the science is established and settled. We should now see the consequences for policy.

Hattip to BishopHill

The Division of Labour & Climate Science Part 1

Bishop Hill displays to an excellent short video at TED by Matt Ridley, encapsulating the concepts of the division of labour and comparative advantage. One thing that Matt Ridley leaves out is the creative destructiveness of competition through supplanting the existing order. Specialisation leads to new products and processes. By implication, the established processes and products are overturned. (Joseph Schumpeter needs to be added to the list of Adam Smith and David Ricardo)

It is not just in the sphere of production that these concepts apply. It is also with empirical science, be it economics, medical research or climatology. With complex data and many facets to the subject, there is scope for division of labour into

–         Data collectors,

–         Data analysts & measurers,

–         Statisticians to validate the analysis,

–         Theoreticians to innovate or create new ideas.

–         Mathematicians, to provide tools for analysis.

–         Methodologists, to provide structures of meaning and assess the boundaries of science.

–         This is alongside the general sub-divisions of the subject, which may change over time.

–         Alongside greater specialists there is also scope for generalist assessors who get a total perspective of the corpus of knowledge, weighing up the status of competing ideas.

–         Academic competition (to gain status) leads to improvements, but can also lead to diversity in conclusions. It also tends to blunt the conclusions where data is ambiguous or fuzzy.

This makes things a bit messy. In economics there has ceased to be any dominant schools of thought or policy prescriptions. But in climatology we are lucky to have the IPCC, which divides the world into a small group of generalist experts (who agree their main conclusions) and the masses, who accept the wisdom handed down. A bit like the guild system, that kept England in the Dark Ages.