Myths and Reality of Polar Bears

There is the Greenpeace view.

The noble beast is brought low by pollution, rubbish, and CO2 emissions. The huge white beast passes unnoticed through the bleakest parts of London. Unnoticed by homeless people, people in parks and people sitting in their cars. Only a young girl sees the beast, and then with sympathy. It is meant to be a metaphor for the Greenpeace “reality”. The collective callousness of the British people, with their comfortable lifestyles are destroying the pristine Arctic, just as grasping capitalistic societies have polluted the atmosphere, potentially destroying the climate for future generations. For them, it is a truth so obvious even this cuddly beast knows all about it. These falsities are used to gain support and money.

Then there is the Reality

For human beings, polar bears are one of the most dangerous carnivores on earth. There are many thousands, each  roaming huge areas. There are many cases where they have attacked people. We also know, from this David Attenborough clip, that when polar bears are particularly dangerous when hungry.

In 2011 Eton schoolboy Horatio Chapple was tragically killed when camping on Svarlbard island. Any human responsibility for this tragedy has yet to be decided by an inquest. However, what is clear is that the proximate cause of death was by a polar bear attack.

If a polar bear ever got loose in London, it would have to be shot on sight. It would likely be highly stressed. It would certainly not be calmly wandering around taking no notice of people and cars. There would be no reasoning with the beast for it’s behavior is wired in. In a similar way there is no reasoning with those who run Greenpeace, for the false view of the world portrayed  in this clip encapsulates their core  belief system. Yet they would impose this on others, and protest against those who act contrary to their codes. Such views were common in the days of established religion – although their methods of imposing those religious codes were far more gruesome that the noisy eco-warriors. The solution to this imposition of beliefs on others was worked out over two centuries ago, and stated in the US First Amendment.

Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof; or abridging the freedom of speech, or of the press; or the right of the people peaceably to assemble, and to petition the government for a redress of grievances. 

The Greenpeace video accessed at http://www.greenpeace.org.uk/climate July 2014

Using 15 year trends to replicate GISTEMP average surface temperature anomalies

At Jo Nova’s Unthreaded on 22/06/14, Philip Shehan posted some GISTEMP temperature trend figures that caused a good deal of controversy.

In 15 year steps they are

1924/39 Trend: 0.142 ±0.148 °C/decade (2σ)

1939/54 Trend: -0.088 ±0.144 °C/decade (2σ)

1954/69 Trend: 0.024 ±0.151 °C/decade (2σ)

1969/84 Trend: 0.165 ±0.162 °C/decade (2σ)

1984/99 Trend: 0.234 ±0.167 °C/decade (2σ)

1999- Trend: 0.099 ±0.138 °C/decade (2σ)

Two issues with the trends are

1. They do not really capture the trends in the data.

2. They slope of the 15 year OLS lines is sensitive to shifting the period by one year – for instance replacing 1999-2013 with 1998-2012.

I replicated Philip Shehan’s data (or a least tried to – he does not use J-D years) on a graph, along with shifting the periods a year backwards. Compare these slopes to the 5 year centred moving average curve in light blue.

NASA corrects errors in the GISTEMP data

In estimating global average temperatures there are a number of different measures to choose from. The UNIPCC tends to favour the British Hadley Centre HADCRUT data. Many of those who believe in the anthropogenic global warming hypothesis have a propensity to believe in the alternative NASA Goddard Institute for Space Studies data. Sceptics criticize GISTEMP due to its continual changes, often in the direction of supporting climate alarmism.

I had downloaded both sets of annual data in April 2011, and also last week. In comparing the two sets of data I noticed something remarkable. Over the last three years the two data sets have converged. The two most significant areas of convergence are in the early twentieth century warming phase (roughly 1910-1944) and the period 1998 to 2010. This convergence is mostly GISTEMP coming into line with HADCRUT. In doing so, it now diverges more from the rise in CO2.

In April 2011 I downloaded the HACRUT3 data, along with GISTEMP. The GISTEMP data carries the same name, but the Hadley centre now has replaced the HADCRUT3 data set with HADCRUT4. Between the two data sets and over just three years, one would expect the four sets of data to be broadly in agreement. To check this I plotted the annual average anomalies figures below.

The GISTEMP 2011 annual mean data, (in light blue) appears to be an outlier of the four data sets. This is especially for the periods 1890-1940 and post 2000.

To emphasise this, I found the difference between data sets, then plotted the five tear centred moving average of the data.

The light green dotted line shows the divergence in data sets three years ago. From 1890 to 1910 the divergence goes from zero to 0.3 degrees. This reduces to almost zero in the early 1940s, increases to 1950, reduces to the late 1960s. From 2000 to 2010 the divergence increases markedly. The current difference, shown by the dark green dotted line shows much greater similarities. The spike around 1910 has disappeared, as has the divergence in the last decade. These changes are more due to changes in GISTEMP (solid blue line) that HADCRUT (solid orange).

To see these changes more clearly, I applied OLS to the warming periods. The start of the period I took as the lowest year at the start, and the end point as the peak. The results of the early twentieth century were as follows:-

GISTEMP 2011 is the clear outlier for three reasons. First it has the most inconsistent measured warming, just 60-70% of the other figures. Second is that the beginning low point is the most inconsistent. Third is the only data set not to have 1944 as the peak of the warming cycle. The anomalies are below.

There were no such issues of start and end of the late twentieth century warming periods, shown below.

There is a great deal of conformity between these data sets. This is not the case for 1998-2010.

The GISTEMP 2011 figures seemed oblivious to the sharp deceleration in warming that occurred post 1998, which was also showing in satellite data. This has now been corrected in the latest figures.

The combined warming from 1976 to 2010 reported by the four data sets is as follows.

GISTEMP 2011 is the clear outlier here, this time being the highest of the four data sets. Different messages from the two warming periods can be gleaned by looking across the four data sets.

GISTEMP 2011 gives the impression of accelerating warming, consistent with the rise in atmospheric CO2 levels. HADCRUT3 suggests that rising CO2 has little influence on temperature, at least without demonstrating another warming element that was present in early part of the twentieth century and not in the latter part. The current data sets lean more towards HADCRUT3 2011 than GISTEMP 2011. Along with the clear pause from 1944 to 1976, it could explain why this is not examined too closely by the climate alarmists. The exception is by DANA1981 at Skepticalscience.com, who tries to account for the early twentieth century warming by natural factors. As it is three years old, it would be interesting to see an update based on more recent data.

What is strongly apparent from recent changes, is that the GISTEMP global surface temperature record contained errors, or inferior methods, that have now been corrected. That does not necessarily mean that it is a more accurate representation of the real world, but that it is more consistent with the British data sets, and less consistent strong forms of the global warming hypothesis.

Kevin Marshall

How Skeptical Science maintains the 97% Consensus fallacy

Richard Tol has at last published a rebuttal of the Cook et al 97% consensus paper. So naturally Skeptical Science, run by John Cook publishes a rebuttal by Dana Nuccitelli. It is cross-posted at the Guardian Climate Consensus – the 97%, that is authored by Dana Nuccitelli. I strongly believe in comparing and contrasting different points of view, and winning an argument on its merits. Here are some techniques that Dana1981 employ that go counter to my view. That is discouraging the reader from looking at the other side by failing to link to opposing views, denigrating the opponents, and distorting the arguments.

Refusing to acknowledge the opponents credentials

Dana says

…… economist and Global Warming Policy Foundation advisor Richard Tol

These are extracts from Tol’s own biography, with my underlines

Richard S.J. Tol is a Professor at the Department of Economics, University of Sussex and the Professor of the Economics of Climate Change…. Vrije Universiteit, Amsterdam. Formerly, he was a Research Professor (in), Dublin, the Michael Otto Professor of Sustainability and Global Change at Hamburg University …..He has had visiting appointments at ……. University of Victoria, British Colombia (&)University College London, and at the Princeton Environmental Institute and the Department of Economics…….. He is ranked among the top 100 economists in the world, and has over 200 publications in learned journals (with 100+ co-authors), 3 books, 5 major reports, 37 book chapters, and many minor publications. He specialises in the economics of energy, environment, and climate, and is interested in integrated assessment modelling. He is an editor for Energy Economics, and an associate editor of economics the e-journal. He is advisor and referee of national and international policy and research. He is an author (contributing, lead, principal and convening) of Working Groups I, II and III of the Intergovernmental Panel on Climate Change…..

Dana and Cook can’t even get close – so they hide it.

Refusing to link the Global Warming Policy Foundation

There is a link to the words. It goes to a desmogblog article which begins with the words

The Global Warming Policy Foundation (GWPF) is a United Kingdom think tank founded by climate change denialist Nigel Lawson.

The description is the GWPF’s website is

We are an all-party and non-party think tank and a registered educational charity which, while open-minded on the contested science of global warming, is deeply concerned about the costs and other implications of many of the policies currently being advocated.

Failing to allow reader to understand the alternative view for themselves

The Guardian does not link to Tol’s article. The SkS article links to the peer-reviewed paper, which costs $19.95. Bishop Hill blog also links you to Tol’s own blog, where he discusses in layman’s terms the article. There is also a 3 minute presentation video, created by the paper’s publishers, where Tol explains the findings.

Distorted evidence on data access

Dana says

The crux of Tol’s paper is that he would have conducted a survey of the climate literature in a slightly different way than our approach. He’s certainly welcome to do just that – as soon as we published our paper, we also launched a webpage to make it as easy as possible for anyone to read the same scientific abstracts that we looked at and test the consensus for themselves.

Tol says

So I asked for the data to run some tests myself. I got a fraction, and over the course of the next four months I got a bit more – but still less than half of all data are available for inspection. Now Cook’s university is sending legal threats to a researcher who found yet another chunk of data.

The Mystery, threatened, researcher

The researcher is Brandon Shollenberger.

Dana says

In addition to making several basic errors, Tol cited numerous denialist and GWPF blog posts, including several about material stolen from our team’s private discussion forum during a hacking.

Brandon gives a description of how obtained the data at “wanna be hackers?“. It was not hacking, in the sense of by-passing passwords and other security, but following the links left around on unprotected sites. What is more, he used similar methods to those used before to get access to a “secret” discussion forum. This forum included some disturbing Photoshop images, including this one of John Cook, complete with insignia of the Sks website.

A glowing endorsement of counter critiques

Dana says

An anonymous individual has also published an elegant analysis
showing that Tol’s method will decrease the consensus no matter what data are put into it. In other words, his 91% consensus result is an artifact of his flawed methodology.

So it must be right then, and also the last word?

Failing to look at the counter-counter critique

Dana, like other fellow believers, does not look at the rebuttal.

Bishop Hill says

This has prompted a remarkable rapid response from an anonymous author here, which says that Tol has it all wrong. If I understand it correctly, Tol has corrected Cook’s results. The critic claims to have worked back from Tol’s results to what should have been Cook’s original results and got a nonsense result, thus demonstrating that Tol’s method is nonsense.

Tol’s reply today equally quickfire and says that his critic, who he has dubbed “Junior” has not used the correct data at all.

Junior did not reconstruct the [matrix] T that I used. This is unfortunate as my T is online…

Junior thus made an error and blamed it on me.

Demonstration of climate science as a belief system

This is my personal view, not of Tol’s, nor of Sks.

Tol in his short presentation, includes this slide as a better categorization of the reviewed papers.

My take on these figures is that 8% give an explicit endorsement, and two-thirds take no position. Taking out the 7970 with no position gives 98.0%. Looking at just those 1010 that take an explicit position gives a “97.6% consensus”.

I accept Jesus as my Lord and Saviour, but I would declare as bunkum any similar survey that scanned New Testament theology peer-reviewed journals to demonstrate the divinity of Christ from the position taken by the authors. People study theology because they are fellow Christians. Atheists or agnostics reject it out of hand. Many scholars are employed by theological colleges, that exit to train people for ministry. Theological journals would be unlikely to accept articles that openly questioned the central tenets of Christianity. If they did many seminaries (but not many Universities) would not subscribe to the publication. In the case of climatology, publishing a paper openly critical of climatology gets a similar reaction to publishing views that some gay people might out of choice rather than discovering their true nature, or that Vladimir Putin’s annexation of Crimea not dissimilar to Hitler’s annexation of Sudetenland in 1938. The lack of disagreement and reactions to objections, could be taken that “climate science” is an alternative belief system.

 Kevin Marshall

 

 

Sea Level rise extremism of Professor Wanless and possible consequences for Miami-Dade

This article is written out of concern. A senior geology professor in Miami, who also chairs the science committee for the Miami-Dade Climate Change Advisory Task Force, has views on future sea level rise that are way more extreme than the available evidence. As a result, Southeast Florida Regional Plans could have been affected, with public money wasted, unnecessary stress caused to home owners, and land devalued.

Summary

The claim by Professor Wanless at the Conversation that sea levels could rise by 1.25 to 2m by 2100 is way too extreme it is based on top-slicing the estimates on a NOAA 2012 report. The top-end estimates were not included by the UNIPCC in its AR5 Sept 2013 report. In fact, the UNIPCC report stated it had low-confidence in estimates of sea level rise above its top-end 0.82m. The source of NOAA’s higher estimate might be from extrapolating from a 2011 paper on 1992-2010 ice-melt . The two leading authors of this paper also contributed to a much less extreme paper that formed the basis of the UNIPCC report. High estimates of ice melt have been effectively been repudiated by their authors. Further, even the UNIPCC’s estimates for 2100 could be extreme, as they are based on climate models. These climate models have all over-estimated the actual surface temperature rise of the last thirty years. On the basis of the warm bias, the projected consequential sea level rise is most likely much too high.

Professor Wanless has slightly moderated his views from 2008, but still maintains the same reasons for disagreeing with scientific consensus. A consequence of this sea level rise extremism might have been to influence the projected sea level rise in a Southeast Florida Regional Plan of 2012.

 

Introduction

At “The Conversation” Geology Professor Harold R. Wanless has posted an article “Rising sea levels will be too much, too fast for Florida“. The article is way too extreme on a number of levels. These views are similar to, but slightly moderated from views held in 2008. The consequences on this extremism might have been to adversely affect Southeast Florida Regional Planning.

 

An extreme Misquote

Professor Wanless says

The US National Oceanic and Atmospheric Administration (NOAA) published its assessment of sea level rise in 2012 as part of the
National Climate Assessment. Including estimates based on limited and maximum melt of the Greenland and Antarctic ice sheets, it anticipated a raise of 4.1 to 6.6ft (1.25 to 2m) by 2100, reaching 2ft (0.6m) by around 2050 and 3ft (0.9m) by around 2075.

Follow the link and the introduction says

Global sea level rise has been a persistent trend for decades. It is expected to continue beyond the end of this century, which will cause significant impacts in the United States. Scientists have very high confidence (greater than 90% chance) that global mean sea level will rise at least 8 inches (0.2 meter) and no more than 6.6 feet (2.0 meters) by 2100.

Professor Wanless relies upon the more extreme range of estimates, failing to mention that they require some very unlikely scenarios.

A quote from an extreme paper

A more authoritative and recent source than the NOAA report is the UNIPCC AR5 Working Group II (the Physical Science Basis) Summary for Policymakers. Page 23 has the following diagram

The likely range of sea level rise based on four climate models is 0.26 to 0.82 metres.

 

Extreme through looking at scientifically weak and unsupported data

But maybe there are factors that the UNIPCC did not take into account? On page 26 there is the following comment:-

The basis for higher projections of global mean sea level rise in the 21st century has been considered and it has been concluded that there is currently insufficient evidence to evaluate the probability of specific levels above the assessed likely range. Many semi-empirical model projections of global mean sea level rise are higher than process-based model projections (up to about twice as large), but there is no consensus in the scientific community about their reliability and there is thus low confidence in their projections.

In the coded language of the UNIPCC, to have low confidence in something that would support the alarmist cause means they think it is a load of rubbish.

 

The extreme estimates of ice melt acceleration

The reason Professor Wanless uses NOAAs top end estimate is due to believing in a much accelerated disintegration of the Greenland and Antarctic ice sheets. By looking at recent data a different picture could emerge from the consensus view.

The following from the UNIPCC gives some estimates of the rate of polar ice melt. In page 9

• The average rate of ice loss from the Greenland ice sheet has very likely substantially increased from 34 [–6 to 74] Gt yr–1 over the period 1992 to 2001 to 215 [157 to 274] Gt yr–1 over the period 2002 to 2011.

• The average rate of ice loss from the Antarctic ice sheet has likely increased from 30 [–37 to 97] Gt yr–1 over the period 1992–2001 to 147 [72 to 221] Gt yr–1 over the period 2002 to 2011. There is very high confidence that these losses are mainly from the northern Antarctic Peninsula and the Amundsen Sea sector of West Antarctica.

Further, on page 11 is stated

Over the period 1993 to 2010, global mean sea level rise is, with high confidence, consistent with the sum of the observed contributions from ocean thermal expansion due to warming (1.1 [0.8 to 1.4] mm yr–1), from changes in glaciers (0.76 [0.39 to 1.13] mm yr–1), Greenland ice sheet (0.33 [0.25 to 0.41] mm yr–1), Antarctic ice sheet (0.27 [0.16 to 0.38] mm yr–1), and land water storage (0.38 [0.26 to 0.49] mm yr–1). The sum of these contributions is 2.8 [2.3 to 3.4] mm yr–1.

These estimates are much lower than previous estimates, particularly on the implied acceleration. For instance Rignot et al 2011 looking at the period calculated polar ice melt contribution to sea levels of 0.91 mm yr–1, 50% higher than the UNIPCC. Further the acceleration on this paper from polar ice melt was 0.1 mm yr–21 mm yr–2and 0. 133 mm yr–2 including non-polar ice melt. Even at this rate of acceleration ice melt would only contribute 6 inches (150mm) to sea level rise. The upper NOAA estimates seem to be based upon taking this extreme figures and doubling them.

But less than two years later lead authors Eric Rignot and Isabella Velicogna were also amongst the 50 who wrote Sheppard et al 2012, which seems to have formed the basis for the UNIPCC report, as the figures are pretty much the same. Professor Wanless appears to be backing out of date science that the authors have effectively repudiated.

 

The climate models are extreme

The climate models that the UNIPCC relies upon for temperature and sea rise levels are themselves extreme. Last year Dr Roy Spencer charted 73 climate model predictions of temperature rise against the actual data for over the last 30 years.

Every single one of the climate models is running too hot.

On that basis, the even the mid-point predicted temperature rise of the weakest of the above models – the 1.0 degree of warming from RCP2.6 – appears too extreme. As a consequence the predicted 40cm mid-point range for sea-level rise to 2100 as a consequence of this temperature rise also appears extreme.

 

Possible consequences of the extremism

Professor Wanless is chairs the science committee for the Miami-Dade Climate Change Advisory Task Force. At the website is a 2008 presentation from him on expected sea level rise. Here Professor Wanless used the 2007 UNIPCC projection of 20cm to 50cm sea level rise by 2100, and then said (due to unaccounted for ice melt) he expected that rise to be at least 3-5 feet (0.9-1.5m) and possibly 7-9 feet (2.1-2.7m). Six years later he has moderated his views, but still believes sea levels will rise by at least twice the scientific consensus. The 2012 “Southeast Florida Regional Climate Change Action Plan” appears to reflect these views extremist views. Figure 1 on page 7 has projections for sea level rise.

Above the UNIPCC estimated sea levels rises of 17cm to 38cm by 2046-65 compared with 1986-2005. Eye-balling to the graph shows a range of 18-38 cm in 2045 and 28-75cm by 2065. It appears to be way out of line. Please note that the caption is for “Regional Planning Purposes”.

Personal Note

I do not believe that the responsibility for extreme views gaining currency lies with individuals who promote them, but with the abandonment of pluralism in favour of institutionalised dogma. The view that human-caused catastrophic global warming is either extremely likely or certain is accepted without question. Any questioning of the scientific authority has been treated as equivalent to denial of established fact, and with a manufactured moralistic contempt akin to that meted out to those who question the truth of the holocaust. As a result, the extremist and ill-supported pronouncements of scientific “experts” are not questioned. Instead they made headlines throughout the world. The solution is to actively promote pluralism and questioning in science.

Finally, all first time comments are moderated. Please use the comments as a point of contact. If you request for it not to be published, I will not do so provided it is not openly abusive.

I work hard to be accurate. If you can demonstrate that any of the above is inaccurate, I will correct it. If you disagree, I will publish the comment, though I reserve the right to edit out abuse and may respond. It is important that others can compare and contrast the arguments.

 

Kevin VS Marshall

 

Reconciling UNIPCC AR5 polar ice melt data with sea level rise

For over a year I have been pondering how to reconcile the near constant rise in sea levels with the accelerating polar ice melt. At the end of September the UNIPCC published the AR5 Working Group II (the Physical Science Basis) Summary for Policymakers which provides some useful evidence.

The following from the UNIPCC gives some estimates of the rate of polar ice melt. In page 9

• The average rate of ice loss from the Greenland ice sheet has very likely substantially increased from 34 [–6 to 74] Gt yr–1 over the period 1992 to 2001 to 215 [157 to 274] Gt yr–1 over the period 2002 to 2011.

• The average rate of ice loss from the Antarctic ice sheet has likely increased from 30 [–37 to 97] Gt yr–1 over the period 1992–2001 to 147 [72 to 221] Gt yr–1 over the period 2002 to 2011. There is very high confidence that these losses are mainly from the northern Antarctic Peninsula and the Amundsen Sea sector of West Antarctica.

Put in sea level rise terms, the combined average rate of ice loss from the polar ice caps increased from 0.18 mm yr–1 over the period 1992 to 2001 to 1.00mm yr–1 over the period 2002 to 2011.

There is a problem with these figures. The melting ice will end up raising sea levels. The satellite data from the University of Colorado shows a near constant rate of rise of 3.2mm yr–1.

Assuming a one year lag in raising sea levels, the 0.18 mm yr–1 over the period 1992 to 2001 is equivalent to 5% of the 3.3mm yr–1 average sea level rise from 1993 to 2002, whilst the 1.00mm yr–1 over the period 2002 to 2011 is equivalent to 32% of the 3.1mm yr–1 average sea level rise from 2003 to 2012. Some other component of sea level rise must be decreasing. The estimates of the other components are given on page 11

Since the early 1970s, glacier mass loss and ocean thermal expansion from warming together explain about 75% of the observed global mean sea level rise (high confidence). Over the period 1993 to 2010, global mean sea level rise is, with high confidence, consistent with the sum of the observed contributions from ocean thermal expansion due to warming (1.1 [0.8 to 1.4] mm yr–1), from changes in glaciers (0.76 [0.39 to 1.13] mm yr–1), Greenland ice sheet (0.33 [0.25 to 0.41] mm yr–1), Antarctic ice sheet (0.27 [0.16 to 0.38] mm yr–1), and land water storage (0.38 [0.26 to 0.49] mm yr–1). The sum of these contributions is 2.8 [2.3 to 3.4] mm yr–1.

The biggest component of sea level rise is thermal expansion. The contribution from this element must be decreasing. Ceteris paribus, that suggests the rate of heat accumulation is decreasing. This contradicts the idea that the lack of surface temperature warming is accounted for by this heat accumulation.

The problem is that all things are not equal. Thermal expansion of water varies greatly with temperature of that water. On page 10 there is the following graphic

The heat content of the upper ocean increased by around 10 x 1022 J from 1993 to 2010. For 700m of ocean depth I estimate this would be 0.1oC. It is a tiny amount that varies greatly with temperature, as shown by the graph below.

As sea temperature varies greatly according to location and depth, it is possible to hypothesise a decline in the thermal expansion with an increase in heat content. This whilst also accepting that both the rate of rise in the heat content of the oceans has accelerated and the contribution to sea level rise due the increase in heat content has decreased. For example one would just have to hypothesise that the increasing heat content had been predominately in the tropics during the 1990s and switched to the Arctic in the 2000s.

Even this switch is not necessary. There is huge variation between areas of the amount of temperature increase over a twenty year period. Consistent with an increase of 0.1 could have been a decrease in average temperatures in an area of ocean as large as the Atlantic and Indian Oceans combined.

But, what makes this less than credible is that this shift almost exactly offset the estimated increase in the ice melt component. Most likely no-one will try to calculate this, as the data is not there. Even with 3,000 Argo Buoys in the oceans, there is still on average just one buoy per 200,000 km3 of ocean, taking about 25 dips a year. The consensus viewpoint appears the less likely than the view that climate models have an exaggerated belief in the impact of greenhouse gases on average temperatures.

There is an opportunity for some further investigation with the data. But a huge amount of work may not yield anything, or may yield conclusion at odds with the “real”, unknown one. However, the first step is to determine how the UNIPCC calculated the figure for thermal expansion. Hopefully it was more substantial than from the difference between the total sea level rise and the estimates for other factors.

Update

At Bishop Hill Unthreaded michael hart Jun 1, 2014 at 4:13 AM refers to some other variables that determines how warming oceans will affect sea level rise through thermal expansion. So now the list includes.

  • The quantity of heat. (see above)
  • The initial temperature of the water which the heat was applied to. (see above)
  • The initial temperature is in turn related to
  1. Latitude – at mid latitudes there is a seasonal variation temperature variation down to about 300 metres.
  2. Depth
  3. Density variation due to salinity (see pdf page 9)

However, there are local variations as well, due to ocean currents that shift over time.

For these reasons, any attempt at estimating thermal expansion will be reliant on assumptions and estimates. The UNIPCC will have simply estimated the difference between estimated “known” factors – ice melt and land water storage – and deducted from the known sea level rise.

In terms of reconciling polar ice melt to sea level rise, there is something that I missed. According to the UNIPCC, glacier melt has a larger contribution to sea level rise than polar ice melt – 0.76 mm yr–1 against 0.60 mm yr–1. It is quite conceivable – particularly since temperatures have stopped rising – that have glacier melt has effectively ceased or even gone into reverse. Unlike with thermal expansion, there should be estimates available to confirm this.

 

 

 

 

 

 

 

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

 

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)

     

     

 

Conspiracist Ideation Falsified?

Summary

A recent paper, based on an internet survey of American people, claimed that “conspiracist ideation, is associated with the rejection of all scientific propositions tested“. Analysis of the data reveals something quite different. Strong opinions with regard to conspiracy theories, whether for or against, suggest strong support for strongly-supported scientific hypotheses, and strong, but divided, opinions on climate science.

Preamble

In 2012 I spent a lot of time looking at a paper “Lewandowsky, Oberauer & Gignac – NASA faked the moon landing:Therefore (Climate) Science is a Hoax: An Anatomy of the Motivated Rejection of Science” – hereafter called LOG12. The follow up in early 2013 was the notorious Recursive Fury paper that has now been withdrawn (Here and here). When a new paper came out, by the same authors reaching pretty much the same conclusions, I had lost interest.

However, Barry Woods, a victim of the Recursive Fury paper, suggested in a comment:-

Lewandowsky always claimed that his US study replicated LOG12

Could you try the same pivot table analysis as LOG12?

I had a quick look at the file, tried a few pivot tables, had a short email exchange, and found something interesting.

The 2013 US study is “The Role of Conspiracist Ideation and Worldviews in Predicting Rejection of Science” – Stephan Lewandowsky, Gilles E. Gignac, Klaus Oberauer. PLOS one. Hereafter called LOG13.

The two papers were similar in that

  • The three authors were the same.
  • Many of the questions were the same, or very similar.
  • The conclusions were similar.

The two papers are different in that

  • LOG12 was an internet survey, conducted solely through “pro-science” blogs. LOG13 was another internet survey, but this time of the U.S. population.
  • LOG12 had just 4 responses. Running 1 to 4 they are strongly/weakly reject and weakly strongly accept. LOG13 had 5 responses. In the middle there was a neutral/don’t know/no opinion option.

At “Shaping Tommorow’s World” Blog, Lewandowsky and Oberauer said of the LOG13 paper:-

Conclusions: 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. Conspiracist ideation, by contrast, is associated with the rejection of all scientific propositions tested.

It is the last part that I will deal with in this posting. Free market views I may come back to at a later time.

 

Comparison of conspiracist orientations and science denial in LOG12 (pro-science blogs) and LOG13 (Americans)

LOG12 had thirteen questions on conspiracy theories and LOG13 nine. In the latter three were on science issues and one on “New World Order”. That left five that are comparable between the papers, but independent of the scientific / political subject matter1.

In LOG12 there were two scientific questions. In short they are “HIV causes AIDS” and “smoking causes lung cancer”. In LOG13 was added “lead in drinking water harms health”

This can be compared by banding the belief in conspiracy theories by the rounded average response.


The first column in the table is the band, taken by rounding the average response to the nearest whole number for the responses to the 5 conspiracy theories. The second column is the unrounded average response within the band. The third column is the number of responses. The fourth column is the average response to the two science questions. The fifth column is acceptance ratio.

For the LOG12 survey, conducted via “pro-climate science” blogs, the connection is clear. The belief in the five conspiracy theories is inversely related to belief in two well-accepted scientific hypotheses. However, there is strong acceptance of the two science questions by all but two respondents. The two respondents who were in the highest conspiracy category I referred to as “rogue responses” in my earlier analysis, and which Steve McIntyre called “super-scammers”. Take out the two scam responses and there is a picture of degrees of science acceptance and no science denial.


For the LOG13, an internet survey of the American public, there is a somewhat different picture. The belief in three well-accepted scientific hypotheses appears to be related to the strength of opinion for three conspiracy theories, independent of the direction of that opinion. The respondents with the least belief in the scientific hypotheses are those who are in the middle on conspiracy theories. That is those who express no opinion, or give similar weight to both sides. Yet they still are, on average, affirming of the scientific consensus. There is no “rejection of the science” at all by any band of belief in conspiracy theories. Further, the greatest “believers in science” are the 12 who have the greatest “conspiracist” ideation. Like the authors, I have no truck with conspiracy theories. But the evidence does not support the statement “conspiracist ideation, … is associated with the rejection of all scientific propositions tested“. Falsely maligning a group of people will only serve to confirm them in their beliefs.

 

Comparison of conspiracist orientations and climate science denial in LOG12 (pro-science blogs) and LOG13 (Americans)

A similar comparison can be made between the beliefs in conspiracy theories and the beliefs in climate science.


In LOG12 there appears to be a relationship. 97% of respondents strongly accept climate science and reject conspiracy theories. The 30 who have a modest acceptance of conspiracy theories are a little more lukewarm on climate science. The real odd result are the two scam responses.


In LOG13 there is a distinct relationship here – the stronger the belief in conspiracy theories, the lower the belief in climate science. But hold on. A score of 3 is neutral, and 5 is total acceptance. The difference is between very lukewarm acceptance and virtually no opinion either way. To claim rejection is misleading. However, the result appears to contradict the previous result the three scientific hypotheses. To understand this result needs closer examination. There were 5 statements and 1001 responses, so 5005 total responses in total. Counting all the responses gives the following result4


To clarify, the “Grand Total” row shows that there were 366 scores of 1 in the 5 CO2 science statements. Of these 15 were by the 12 respondents who averaged a score of 5 in the conspiracy theories. The proportions I believe can be better seen by the percentage of responses in each row.


So 7% of all the 5005 responses were a score of 1. Of the 60 responses by the strongest believers in conspiracy theories, 25% were score of 1.

We get a similar result for belief climate science to belief in three well-accepted scientific hypotheses. Those with the most extreme opinions on conspiracy theories are those with the most extreme opinions on climate change. But there is a crucial difference, in that opinions on climate change are split between acceptance and rejection. The 12 respondents, who were the strongest believers in conspiracy theories, also had the highest proportion of 1s and 5s on the climate questions. The second most extreme group was the 215 respondents on the strong rejection group. The highest proportion of 3s, along with the lowest proportions of 1s and 5s were those in middle band on conspiracy theories. Holding strong opinions on conspiracy theories seems to be a predictor of strong opinions on climate science, but not a predictor of whether that is strong belief or strong rejection.

Corroboration of the result

The results of the internet survey confirm something about people in the United States that I and many others have suspected – they are a substantial minority who love their conspiracy theories. For me, it seemed quite a reasonable hypothesis that these conspiracy lovers should be both suspicious of science and have a propensity to reject climate science. Analysis of the survey results has over-turned those views. Instead I propose something more mundane – that people with strong opinions in one area are very likely to have strong opinions in others.

In relation to the United States, there is a paradox if you follow the “conspiracist ideation”. Along with being a hotbed of conspiracy theorists, the US is also home to 11 or 15 of the World’s top universities and much of the technological revolutions of the past 50 years originate. If science is about conformity and belief in the established expert opinion, this could not have happened.

Kevin Marshall

 

Notes

  1. Five, non-science, conspiracy theories, in common to LOG12 and LOG13
  • CYMLK The assassination of Martin Luther King Jr. was the result of an organized conspiracy by U.S. government agencies such as the CIA and FBI.
  • CYMoon The Apollo moon landings never happened and were staged in a Hollywood film studio.
  • CYJFK The assassination of John F. Kennedy was not committed by the lone gunman Lee Harvey Oswald but was rather a detailed organized conspiracy to kill the President.
  • CY911 The U.S. government allowed the 9–11 attacks to take place so that it would have an excuse to achieve foreign (e.g., wars in Afghanistan and Iraq) and domestic (e.g., attacks on civil liberties) goals that had been determined prior to the attacks.
  • CYDiana Princess Diana’s death was not an accident but rather an organised assassination by members of the British royal family who disliked her.

     

  1. Acceptance Ratio

    Comparing the average scores across the two surveys can be confusing where there are a different number of options. The acceptance ratio makes average scores comparable where there are a large number of responses. Strong acceptance scores 1, strong rejection -1 and the mid-point 0.

     

  2. Climate Science

LOG 12 had four questions on Climate science

CO2TempUp I believe that burning fossil fuels increases atmospheric temperature to some measurable degree

CO2AtmosUp I believe that the burning of fossil fuels on the scale observed over the last 50 years has increased atmospheric temperature to an appreciable degree

CO2WillNegChange I believe that the burning of fossil fuels on the scale observed over the last 50 years will cause serious negative changes to the planet’s climate, unless there is a substantial switch to non-CO2 emitting energy sources

CO2HasNegChange I believe that the burning of fossil fuels on the scale observed over the last 50 years has caused serious negative changes to the planet’s climate

LOG 13 had five questions on Climate science

CNatFluct I believe that the climate is always changing and what we are currently observing is just natural fluctuation. (R)

CdueGHG I believe that most of the warming over the last 50 years is due to the increase in greenhouse gas concentrations.

CseriousDamage I believe that the burning of fossil fuels over the last 50 years has caused serious damage to the planet’s climate.

CO2causesCC Human CO2 emissions cause climate change.

HumansInsign Humans are too insignificant to have an appreciable impact on global temperature. (R)

  1. Response Count

To replicate my response table, create a pivot table for count of responses for each of the climate change statements. Make the conspiracy bands the row labels, and a climate statement as the column label. Add the results together.

 


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/

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