Posts tagged ‘global warming’

Immigrants and Crime

Virtually every study done points to the fact the immigrants, even illegal immigrants, are less prone to crime than American citizens.  That is why immigration opponents must rely on repetition of lurid single examples to try to make their case, a bit like global warming advocates point to individual heat waves as a substitute for having any warming show up in the recent global temperature metrics.

From the Foundation for Economic Education

With few exceptions, immigrants are less crime prone than natives or have no effect on crime rates. As described below, the research is fairly one-sided.

There are two broad types of studies that investigate immigrant criminality. The first type uses Census and American Community Survey (ACS) data from the institutionalized population and broadly concludes that immigrants are less crime prone than the native-born population. It is important to note that immigrants convicted of crimes serve their sentences before being deported with few exceptions.

However, there are some potential problems with Census-based studies that could lead to inaccurate results. That’s where the second type of study comes in. The second type is a macro level analysis to judge the impact of immigration on crime rates, generally finding that increased immigration does not increase crime and sometimes even causes crime rates to fall.

Butcher and Piehl examine the incarceration rates for men aged 18-40 in the 1980, 1990, and 2000 Censuses. In each year, immigrants are less likely to be incarcerated than natives with the gap widening each decade. By 2000, immigrants have incarceration rates that are one-fifth those of the native-born

There is a lot more at the link.

A Great Example of How the Media Twists Facts on Climate

First, let's start with the Guardian headline:

Exxon knew of climate change in 1981, email says – but it funded deniers for 27 more years

So now let's look at the email, in full, which is the sole source for the Guardian headline.  I challenge you, no matter how much you squint, to find a basis for the Guardian's statement.  Basically the email says that Exxon knew of the concern about global warming in 1981, but did not necessarily agree with it.  Hardly the tobacco-lawyer cover-up the Guardian is trying to make it sound like.  I will reprint the email in full because I actually think it is a pretty sober view of how good corporations think about these issues, and it accurately reflects the Exxon I knew from 3 years as a mechanical / safety engineer in a refinery.

I will add that you can see the media denial that a lukewarmer position even exists (which I complained about most recently here) in full action in this Guardian article.  Exxon's position as described in the Guardian's source looks pretty close to the lukewarmer position to me -- that man made global warming exists but is being exaggerated.   But to the Guardian, and many others, there is only full-blown acceptance of the most absurd exaggerated climate change forecasts or you are a denier.  Anyway, here is the email in full:

Corporations are interested in environmental impacts only to the extent that they affect profits, either current or future. They may take what appears to be altruistic positions to improve their public image, but the assumption underlying those actions is that they will increase future profits. ExxonMobil is an interesting case in point.

Exxon first got interested in climate change in 1981 because it was seeking to develop the Natuna gas field off Indonesia. This is an immense reserve of natural gas, but it is 70% CO2. That CO2 would have to be separated to make the natural gas usable. Natural gas often contains CO2 and the technology for removing CO2 is well known. In 1981 (and now) the usual practice was to vent the CO2 to the atmosphere. When I first learned about the project in 1989, the projections were that if Natuna were developed and its CO2 vented to the atmosphere, it would be the largest point source of CO2 in the world and account for about 1% of projected global CO2 emissions. I’m sure that it would still be the largest point source of CO2, but since CO2 emissions have grown faster than projected in 1989, it would probably account for a smaller fraction of global CO2 emissions.

The alternative to venting CO2 to the atmosphere is to inject it into ground. This technology was also well known, since the oil industry had been injecting limited quantities of CO2 to enhance oil recovery. There were many questions about whether the CO2 would remain in the ground, some of which have been answered by Statoil’s now almost 20 years of experience injecting CO2 in the North Sea. Statoil did this because the Norwegian government placed a tax on vented CO2. It was cheaper for Statoil to inject CO2 than pay the tax. Of course, Statoil has touted how much CO2 it has prevented from being emitted.

In the 1980s, Exxon needed to understand the potential for concerns about climate change to lead to regulation that would affect Natuna and other potential projects. They were well ahead of the rest of industry in this awareness. Other companies, such as Mobil, only became aware of the issue in 1988, when it first became a political issue. Natural resource companies – oil, coal, minerals – have to make investments that have lifetimes of 50-100 years. Whatever their public stance, internally they make very careful assessments of the potential for regulation, including the scientific basis for those regulations. Exxon NEVER denied the potential for humans to impact the climate system. It did question – legitimately, in my opinion – the validity of some of the science.

Political battles need to personify the enemy. This is why liberals spend so much time vilifying the Koch brothers – who are hardly the only big money supporters of conservative ideas. In climate change, the first villain was a man named Donald Pearlman, who was a lobbyist for Saudi Arabia and Kuwait. (In another life, he was instrumental in getting the U.S. Holocaust Museum funded and built.) Pearlman’s usefulness as a villain ended when he died of lung cancer – he was a heavy smoker to the end.

Then the villain was the Global Climate Coalition (GCC), a trade organization of energy producers and large energy users. I was involved in GCC for a while, unsuccessfully trying to get them to recognize scientific reality. (That effort got me on to the front page of the New York Times, but that’s another story.) Environmental group pressure was successful in putting GCC out of business, but they also lost their villain. They needed one which wouldn’t die and wouldn’t go out of business. Exxon, and after its merger with Mobil ExxonMobil, fit the bill, especially under its former CEO, Lee Raymond, who was vocally opposed to climate change regulation. ExxonMobil’s current CEO, Rex Tillerson, has taken a much softer line, but ExxonMobil has not lost its position as the personification of corporate, and especially climate change, evil. It is the only company mentioned in Alyssa’s e-mail, even though, in my opinion, it is far more ethical that many other large corporations.

Having spent twenty years working for Exxon and ten working for Mobil, I know that much of that ethical behavior comes from a business calculation that it is cheaper in the long run to be ethical than unethical. Safety is the clearest example of this. ExxonMobil knows all too well the cost of poor safety practices. The Exxon Valdez is the most public, but far from the only, example of the high cost of unsafe operations. The value of good environmental practices are more subtle, but a facility that does a good job of controlling emission and waste is a well run facility, that is probably maximizing profit. All major companies will tell you that they are trying to minimize their internal CO2 emissions. Mostly, they are doing this by improving energy efficiency and reducing cost. The same is true for internal recycling, again a practice most companies follow. Its just good engineering.

Breaking News: Local Resident Victimized by Legal American Citizen

One of my critiques of global warming alarmists is that they are trying to use a type of observation bias to leave folks with the impression that weather is becoming more severe.  By hyping on every tail-of-the-distribution weather event in the media, they leave the impression that such events are becoming more frequent, when in fact they are just being reported more loudly and more frequently.  I dealt with this phenomenon in depth in an older Fortune article, where I made an analogy to the famous "summer of the shark"

...let’s take a step back to 2001 and the “Summer of the Shark.”  The media hysteria began in early July, when a young boy was bitten by a shark on a beach in Florida.  Subsequent attacks received breathless media coverage, up to and including near-nightly footage from TV helicopters of swimming sharks.  Until the 9/11 attacks, sharks were the third biggest story of the year as measured by the time dedicated to it on the three major broadcast networks’ news shows.

Through this coverage, Americans were left with a strong impression that something unusual was happening — that an unprecedented number of shark attacks were occurring in that year, and the media dedicated endless coverage to speculation by various “experts” as to the cause of this sharp increase in attacks.

Except there was one problem — there was no sharp increase in attacks.  In the year 2001, five people died in 76 shark attacks.  However, just a year earlier, 12 people had died in 85 attacks.  The data showed that 2001 actually was  a down year for shark attacks.

Yesterday I was stuck on a stationary bike in my health club with some Fox News show on the TV.  Not sure I know whose show it was (O'Reilly?  Hannity?) but the gist of the segment seemed to be that a recent murder by an illegal immigrant in San Francisco should be taken as proof positive of the Trump contention that such immigrants are all murderers and rapists.  The show then proceeded to show a couple of other nominally parallel cases.

Yawn.   It would be intriguing to flood an hour-long episode with stories of legal American citizens committing heinous crimes.  One wonders if folks would walk away wondering if there was something wrong with those Americans.

One could pick any group of human beings and do a thirty-minute segment showing all the bad things members of that group had done.  What this does not prove in the least is whether that group has any particular predilection towards doing bad things, or specifically in the case of Mexican immigrants, whether they commit crimes at a higher rate than any other group in this country.  In fact, everything I read says that they do not, which likely explains why immigration opponents use this technique, just as climate alarmists try to flood the airwaves with bad weather stories because the actual trend data for temperatures does not tell the story they want to tell.

"Man-Made" Climate Change

Man has almost certainly warmed the world by some tenths of a degree C with his CO2, though much of this warming has hit night-time lows rather than daily highs.  Anyway, while future temperature rise forecasts are often grossly exaggerated by absurdly high assumptions of positive feedback, there is at least a kernel of fact in there that CO2 is likely warming the world somewhat.

However, the popular "science" on climate change is often awful, positing, for example, that hurricanes are being increased by man right in the midst of the longest hurricane drought we have seen in the US for a hundred years.

Inevitably, the recent severe California droughts have been blamed on manmade CO2.  As a hopefully useful adjunct to this debate, I have annotated a recent chart from the San Jose Mercury News on the history of California droughts to reflect the popular global warming / climate change narrative.  You be the judge of the reasonableness:

click to enlarge

Inability to Evaluate Risk in A Mature and Reasoned Fashion

A while back I wrote a long post on topics like climate change, vaccinations, and GMO foods where I discussed the systematic problems many in the political-media complex have in evaluating risks in a reasoned manner.

I didn't have any idea who the "Food Babe" was but from this article she sure seems to be yet another example.  If you want to see an absolute classic of food babe "thinking", check out this article on flying.   Seriously, I seldom insist you go read something but it is relatively short and you will find yourself laughing, I guarantee it.

Postscript:  I had someone tell me the other day that I was inconsistent.  I was on the side of science (being pro-vaccination) but against science (being pro-fossil fuel use).   I have heard this or something like it come up in the vaccination debate a number of times, so a few thoughts:

  1. The commenter is assuming their conclusion.  Most people don't actually look at the science, so saying you are for or against science is their way of saying you are right or wrong.
  2. The Luddites are indeed taking a consistent position here, and both "Food babe" and RFK Jr. represent that position -- they ascribe large, unproveable risks to mundane manmade items and totally discount the benefits of these items.  This includes vaccines, fossil fuels, GMO foods, cell phones, etc.
  3. I am actually with the science on global warming, it is just what the science says is not well-portrayed in the media.  The famous 97% of scientists actually agreed with two propositions:  That the world has warmed over the last century and that man has contributed to that warming.  The science is pretty clear on these propositions and I agree with them.  What I disagree with is that temperature sensitivity to a doubling of CO2 concentrations is catastrophic, on the order of 4 or 5C or higher, as many alarmist believe, driven by absurdly high assumptions of positive feedback in the climate system.   But the science is very much in dispute about these feedback assumptions and thus on the amount of warming we should expect in the future -- in fact the estimates in scientific papers and the IPCC keep declining each year heading steadily for my position of 1.5C.  Also, I dispute that things like recent hurricanes and the California drought can be tied to manmade CO2, and in fact the NOAA and many others have denied that these can be linked.  In being skeptical of all these crazy links to global warming (e.g. Obama claims global warming caused his daughter's asthma attack), I am totally with science.  Scientists are not linking these things, talking heads in the media are.

Bill Maher, Living in an Echo Chamber

I refuse to assume (contrary to the modern practice) that someone who disagrees with me is either stupid or ill-intentioned or both [OK, I did call people idiots here -- sorry, I was ranting].  Intelligent people of goodwill can disagree with each other, and the world would be a better place if more people embraced that simple notion.

Anyway, I won't blame lack of intelligence or bad motivations for the following statement from Bill Maher.  He seems to be a smart guy who is honestly motivated by what he says motivates him.  But this statement is just so ignorant and provably false that it must be the result of living in a very powerful echo chamber where no voices other than ones that agree with him are allowed.

HBO’s Bill Maher complained that comparing climate change skepticism to vaccine skepticism was unfair to vaccine skeptics before attacking GMOs on Friday’s “Real Time.”

“The analogy that I see all the time is that if you ask any questions [about vaccines], you are the same thing as a global warming denier. I think this is a very bad analogy, because I don’t think all science is alike. I think climate science is rather straightforward because you’re dealing with the earth, it’s a rock…climate scientists, from the very beginning, have pretty much said the same thing, and their predictions have pretty much come true. It’s atmospherics, and it’s geology, and chemistry. That’s not true of the medical industry. I mean, they’ve had to retract a million things because the human body is infinitely more mysterious” he stated.

Climate science is astoundingly complex with thousands or millions of variables interacting chaotically.  Separating cause and effect is a nightmare, because controlled experiments are impossible.  It is stupendously laughable that he could think this task somehow straightforward, or easier than running a double-blind medical study  (By the way, this is one reason for the retractions in medicine vs. climate -- medical studies are straightforward enough they can be easily replicated... or not, and thus retracted.  Proving cause and effect in climate is so hard that studies may be of low quality, but they are also hard to absolutely disprove).

It is funny of course that he would also say that all of climate scientists predictions have come true.  Pretty much none have come true.  They expected  rapidly rising temperatures and they have in fact risen only modestly, if at all, over the last 20 years or so.  They expected more hurricanes and there have been fewer.  They called for more tornadoes and there have been fewer.  The only reason any have been right at all is that climate scientists have separately forecasts opposite occurrences (e.g. more snow / less snow) so someone has to be right, though this state of affairs hardly argues for the certainty of climate predictions.

By the way, the assumption that Bill Maher is an intelligent person of goodwill who simply disagrees with me on things like climate and vaccines and GMO's is apparently not one he is willing to make himself about his critics.  e.g.:

Weekly Standard Senior Writer John McCormack then pointed out that there are legitimate scientists, such as Dr. Richard Lindzen, who are skeptical of man-made climate change theories, but that there were no serious vaccine-skeptic professors, to which Maher rebutted “the ones who are skeptics [on climate change], usually are paid off by the oil industry.”

I will point out to you that the Left's positions on climate, vaccines, and GMO's have many things in common, as I wrote in a long article on evaluating risks here.

Naomi Oreskes and Post-Modern Science

Post-modernism is many things and its exact meaning is subject to argument, but I think most would agree that it explicitly rejects things like formalism and realism in favor of socially constructed narratives.  In that sense, what I mean by "post-modern science" is not necessarily a rejection of scientific evidence, but a prioritization where support for the favored narrative is more important than the details of scientific evidence.  We have seen this for quite a while in climate science, where alarmists, when they talk among themselves, discuss how it is more important for them to support the narrative (catastrophic global warming and, tied with this, an increasing strain of anti-capitalism ala Naomi Klein) than to be true to the facts all the time.  As a result, many climate scientists would argue (and have) that accurately expressing the uncertainties in their analysis or documenting counter-veiling evidence is wrong, because it dilutes the narrative.

I think this is the context in which Naomi Oreskes' recent NY Times article should be read.  It is telling she uses the issue of secondhand tobacco smoke as an example, because that is one of the best examples I can think of when we let the narrative and our preferred social policy (e.g. banning smoking) to trump the actual scientific evidence.  The work used to justify second hand smoke bans is some of the worst science I can think of, and this is what she is holding up as the example she wants to emulate in climate.  I have had arguments on second hand smoke where I point out the weakness and in some cases the absurdity of the evidence.  When cornered, defenders of bans will say, "well, its something we should do anyway."  That is post-modern science -- narrative over rigid adherence to facts.

I have written before on post-modern science here and here.

If you want post-modern science in a nutshell, think of the term "fake but accurate".  It is one of the most post-modern phrases I can imagine.  It means that certain data, or an analysis, or experiment was somehow wrong or corrupted or failed typical standards of scientific rigor, but was none-the-less "accurate".  How can that be?  Because accuracy is not defined as logical conformance to observations.  It has been redefined as "consistent with the narrative."  She actually argues that our standard of evidence should be reduced for things we already "know".  But know do we "know" it if we have not checked the evidence?  Because for Oreskes, and probably for an unfortunately large portion of modern academia, we "know" things because they are part of the narrative constructed by these self-same academic elites.

Listening to California Parks People Discuss Climate Change

Some random highlights:

  • I watched a 20 minute presentation in which a woman from LA parks talked repeatedly about the urban heat island being a result of global warming
  • I just saw that California State Parks, which is constantly short of money and has perhaps a billion dollars in unfunded maintenance needs, just spent millions of dollars to remove a road from a beachfront park based solely (they claimed) based on projections that 55 inches of sea level rise would cause the road to be a problem.  Sea level has been rising 3-4mm a year for over 150 years and even the IPCC, based on old much higher temperature increase forecasts, predicted about a foot of rise.
  • One presenter said that a 3-5C temperature rise over the next century represent the low end of reasonable forecasts.  Most studies of later are showing a climate sensitivity of 1.5-2.0 C (I still predict 1C) with warming over the rest of the century of about 1C, or about what we saw last century
  • I watched them brag for half an hour about spending tons of extra money on make LEED certified buildings.  As written here any number of times, most LEED savings come through BS gaming of the rules, like putting in dedicated electric vehicle parking sites (that do not even need a charger to get credit).  In a brief moment of honesty, the architect presenting admitted that most of the LEED score for one building came from using used rather than new furniture in the building.
  • They said that LEED buildings were not any more efficient than most other commercial buildings getting built, just a matter of whether you wanted to pay for LEED certification -- it was stated that the certification was mostly for the plaque.  Which I suppose is fine for private businesses looking for PR, but why are cash-strapped public agencies doing it?

Trend That Is Not A Trend: Rape Culture

From Mark Perry:

click to enlarge

I suppose one could argue that there is some change in reporting rates, since rape is well-know to be an under-reported crime.  However, I would struggle to argue that under-reporting rates are going up (which is what it would take to be the prime driver of the trend above).  If anything, my guess is that reporting rates are rising such that the chart above actually understates the improvement.

PS-  Folks commenting on this post saying that by reporting a declining trend I demonstrate that I don't care about rape or don't treat it seriously are idiots.  I have lived through dozens of data-free media scares and witch hunts  -- global cooling, global warming, the great pre-school sexual abuse witch hunt, about 20 different narcotics related scares (vodka tampons, anyone?).    Data is useful.    In this case, knowing there is improvement means we can look for what is driving the improvement and do more of it (though Kevin Drum would likely attribute it to unleaded gasoline).

"Trend that is not a trend" is an occasional feature on this blog.  I could probably write three stories a day on this topic if I wished.  The media is filled with stories of supposed trends based on single data points or anecdotes rather than, you know, actual trend data.  More stories of this type are here.  It is not unusual to find that the trend data often support a trend in the opposite direction as claimed by media articles.  I have a related category I have started of trends extrapolated from single data points.

Computer Modeling as "Evidence"

The BBC has decided not to every talk to climate skeptics again, in part based on the "evidence" of computer modelling

Climate change skeptics are being banned from BBC News, according to a new report, for fear of misinforming people and to create more of a "balance" when discussing man-made climate change.

The latest casualty is Nigel Lawson, former London chancellor and climate change skeptic, who has just recently been barred from appearing on BBC. Lord Lawson, who has written about climate change, said the corporation is silencing the debate on global warming since he discussed the topic on its Radio 4 Today program in February.

This skeptic accuses "Stalinist" BBC of succumbing to pressure from those with renewable energy interests, like the Green Party, in an editorial for the Daily Mail.

He appeared on February 13 debating with scientist Sir Brian Hoskins, chairman of the Grantham Institute for Climate Change at Imperial College, London, to discuss recent flooding that supposedly was linked to man-made climate change.

Despite the fact that the two intellectuals had a "thoroughly civilized discussion," BBC was "overwhelmed by a well-organized deluge of complaints" following the program. Naysayers harped on the fact that Lawson was not a scientist and said he had no business voicing his opinion on the subject.


Among the objections, including one from Green Party politician Chit Chong, were that Lawson's views were not supported by evidence from computer modeling.

I see this all the time.  A lot of things astound me in the climate debate, but perhaps the most astounding has been to be accused of being "anti-science" by people who have such a poor grasp of the scientific process.

Computer models and their output are not evidence of anything.  Computer models are extremely useful when we have hypotheses about complex, multi-variable systems.  It may not be immediately obvious how to test these hypotheses, so computer models can take these hypothesized formulas and generate predicted values of measurable variables that can then be used to compare to actual physical observations.

This is no different (except in speed and scale) from a person in the 18th century sitting down with Newton's gravitational equations and grinding out five years of predicted positions for Venus (in fact, the original meaning of the word "computer" was a human being who ground out numbers in just his way).  That person and his calculations are the exact equivalent of today's computer models.  We wouldn't say that those lists of predictions for Venus were "evidence" that Newton was correct.  We would use these predictions and compare them to actual measurements of Venus's position over the next five years.  If they matched, we would consider that match to be the real evidence that Newton may be correct.

So it is not the existence of the models or their output that are evidence that catastrophic man-made global warming theory is correct.  It would be evidence that the output of these predictive models actually match what plays out in reality.  Which is why skeptics think the fact that the divergence between climate model temperature forecasts and actual temperatures is important, but we will leave that topic for other days.

The other problem with models

The other problem with computer models, besides the fact that they are not and cannot constitute evidence in and of themselves, is that their results are often sensitive to small changes in tuning or setting of variables, and that these decisions about tuning are often totally opaque to outsiders.

I did computer modelling for years, though of markets and economics rather than climate.  But the techniques are substantially the same.  And the pitfalls.

Confession time.  In my very early days as a consultant, I did something I am not proud of.  I was responsible for a complex market model based on a lot of market research and customer service data.  Less than a day before the big presentation, and with all the charts and conclusions made, I found a mistake that skewed the results.  In later years I would have the moral courage and confidence to cry foul and halt the process, but at the time I ended up tweaking a few key variables to make the model continue to spit out results consistent with our conclusion.  It is embarrassing enough I have trouble writing this for public consumption 25 years later.

But it was so easy.  A few tweaks to assumptions and I could get the answer I wanted.  And no one would ever know.  Someone could stare at the model for an hour and not recognize the tuning.

Robert Caprara has similar thoughts in the WSJ (probably behind a paywall)  Hat tip to a reader

The computer model was huge—it analyzed every river, sewer treatment plant and drinking-water intake (the places in rivers where municipalities draw their water) in the country. I'll spare you the details, but the model showed huge gains from the program as water quality improved dramatically. By the late 1980s, however, any gains from upgrading sewer treatments would be offset by the additional pollution load coming from people who moved from on-site septic tanks to public sewers, which dump the waste into rivers. Basically the model said we had hit the point of diminishing returns.

When I presented the results to the EPA official in charge, he said that I should go back and "sharpen my pencil." I did. I reviewed assumptions, tweaked coefficients and recalibrated data. But when I reran everything the numbers didn't change much. At our next meeting he told me to run the numbers again.

After three iterations I finally blurted out, "What number are you looking for?" He didn't miss a beat: He told me that he needed to show $2 billion of benefits to get the program renewed. I finally turned enough knobs to get the answer he wanted, and everyone was happy...

I realized that my work for the EPA wasn't that of a scientist, at least in the popular imagination of what a scientist does. It was more like that of a lawyer. My job, as a modeler, was to build the best case for my client's position. The opposition will build its best case for the counter argument and ultimately the truth should prevail.

If opponents don't like what I did with the coefficients, then they should challenge them. And during my decade as an environmental consultant, I was often hired to do just that to someone else's model. But there is no denying that anyone who makes a living building computer models likely does so for the cause of advocacy, not the search for truth.

Another Plea to Global Warming Alarmists on the Phrase "Climate Denier"

Stop calling me and other skeptics "climate deniers".  No one denies that there is a climate.  It is a stupid phrase.

I am willing, even at the risk of the obvious parallel that is being drawn to the Holocaust deniers, to accept the "denier" label, but it has to be attached to a proposition I actually deny, or that can even be denied.

As help in doing so, here are a few reminders (these would also apply to many mainstream skeptics -- I am not an outlier)

  • I don't deny that climate changes over time -- who could?  So I am not a climate change denier
  • I don't deny that the Earth has warmed over the last century (something like 0.7C).  So I am not a global warming denier
  • I don't deny that man's CO2 has some incremental effect on warming, and perhaps climate change (in fact, man effects climate with many more of his activities other than just CO2 -- land use, with cities on the one hand and irrigated agriculture on the other, has measurable effects on the climate).  So I am not a man-made climate change or man-made global warming denier.

What I deny is the catastrophe -- the proposition that man-made global warming** will cause catastrophic climate changes whose adverse affects will outweigh both the benefits of warming as well as the costs of mitigation.  I believe that warming forecasts have been substantially exaggerated (in part due to positive feedback assumptions) and that tales of current climate change trends are greatly exaggerated and based more on noting individual outlier events and not through real data on trends (see hurricanes, for example).

Though it loses some of this nuance, I would probably accept "man-made climate catastrophe denier" as a title.

** Postscript -- as a reminder, there is absolutely no science that CO2 can change the climate except through the intermediate step of warming.   If you believe it is possible for CO2 to change the climate without there being warming (in the air, in the oceans, somewhere), then you have no right to call anyone else anti-science and you should go review your subject before you continue to embarrass yourself and your allies.

Great Moments in "Science"

You know that relative of yours, who last Thanksgiving called you anti-science because you had not fully bought into global warming alarm?

Well, it appears that the reason we keep getting called "anti-science" is because climate scientists have a really funny idea of what exactly "science" is.

Apparently, a number of folks have been trying for years to get articles published in peer reviewed journals comparing the IPCC temperature models to actual measurements, and in the process highlighting the divergence of the two.  And they keep getting rejected.

Now, the publisher of Environmental Research Letters has explained why.  Apparently, in climate science it is "an error" to attempt to compare computer temperature forecasts with the temperatures that actually occurred.  In fact, he says that trying to do so "is harmful as it opens the door for oversimplified claims of 'errors' and worse from the climate sceptics media side".  Apparently, the purpose of scientific inquiry is to win media wars, and not necessarily to discover truth.

Here is something everyone in climate should remember:  The output of models merely represents a hypothesis.  When we have complicated hypotheses in complicated systems, and where such hypotheses may encompass many interrelated assumptions, computer models are an important tool for playing out, computationally, what results those hypotheses might translate to in the physical world.  It is no different than if Newton had had a computer and took his equation Gmm/R^2 and used the computer to project future orbits for the Earth and other planets (which he and others did, but by hand).   But these projections would have no value until they were checked against actual observations.  That is how we knew we liked Newton's models better than Ptolemy's -- because they checked out better against actual measurements.

But climate scientists are trying to create some kind of weird world where model results have some sort of independent reality, where in fact the model results should be trusted over measurements when the two diverge.  If this is science -- which it is not -- but if it were, then I would be anti-science.

Climate Alarmists Coming Around to At Least One Skeptic Position

As early as 2009 (and many other more prominent skeptics were discussing it much earlier) I reported on why measuring ocean heat content was a potentially much better measure of greenhouse gas changes to the Earth rather than measuring surface air temperatures.  Roger Pielke, in particular, has been arguing this for as long as I can remember.

The simplest explanation for why this is true is that greenhouse gasses increase the energy added to the surface of the Earth, so that is what we would really like to measure, that extra energy.  But in fact the vast, vast majority of the heat retention capacity of the Earth's surface is in the oceans, not in the air.  Air temperatures may be more immediately sensitive to changes in heat flux, but they are also sensitive to a lot of other noise that tends to mask long-term signals.    The best analog I can think of is to imagine that you have two assets, a checking account and your investment portfolio.  Looking at surface air temperatures to measure long-term changes in surface heat content is a bit like trying to infer long-term changes in your net worth by looking only at your checking account, whose balance is very volatile, vs. looking at the changing size of your investment portfolio.

Apparently, the alarmists are coming around to this point

Has global warming come to a halt? For the last decade or so the average global surface temperature has been stabilising at around 0.5°C above the long-term average. Can we all relax and assume global warming isn't going to be so bad after all?

Unfortunately not. Instead we appear to be measuring the wrong thing. Doug McNeall and Matthew Palmer, both from the Met Office Hadley Centre in Exeter, have analysed climate simulations and shown that both ocean heat content and net radiation (at the top of the atmosphere) continue to rise, while surface temperature goes in fits and starts. "In my view net radiation is the most fundamental measure of global warming since it directly represents the accumulation of excess solar energy in the Earth system," says Palmer, whose findings are published in the journal Environmental Research Letters.

First, of course, we welcome past ocean heat content deniers to the club.  But second, those betting on ocean heat content to save their bacon and keep alarmism alive should consider why skeptics latched onto the metric with such passion.   In fact, ocean heat content may be rising more than surface air temperatures, but it has been rising MUCH less than would be predicted from high-sensitivity climate models.

Ideological Turing Tests, Climate, and Minimum Wage

Yesterday I was interviewed for a student radio show, I believe from the USC Annenberg school.  I have no quarrel with the staff I worked with, they were all friendly and intelligent.

What depressed me though, as I went through my usual bullet points describing the "lukewarmer" position that is increasingly common among skeptics, was that most of what I said seemed to be new to the interviewer.   It was amazing to see that someone presumably well-exposed to the climate debate would actually not have any real idea what one of the two positions really entailed (see here and here for what I outlined).  This gets me back to the notion I wrote about a while ago about people relying on their allies to tell them everything they need to know about their opponent's position, without ever actually listening to the opponents.

This topic comes up in the blogosphere from time to time, often framed as being able to pass an ideological Touring test.  Can, say, a Republican write a defense of the minimum wage that a reader of the Daily Kos would accept, or will it just come out sounding like a straw man?  I feel like I could do it pretty well, despite being a libertarian opposed to the minimum wage.  For example:

There is a substantial power imbalance between minimum wage workers and employers, such that employers are able to pay such workers far less than their labor is worth, and far less than they would be willing to pay if they had to.  The minimum wage corrects this power imbalance and prevents employers from unfairly exploiting this power imbalance.  It forces employers to pay employees something closer to a living wage, though at $7.25 an hour the minimum wage is still too low to be humane and needs to be raised.  When companies pay below a living wage, they not only exploit workers but taxpayers as well, since they are accepting a form of corporate welfare when taxpayers (through food stamps and Medicare and the like) help sustain their underpaid workers.

Opponents of the minimum wage will sometimes argue that higher minimum wages reduce employment.  However, since in most cases employers of low-skilled workers are paying workers less than they are willing and able to pay, raising the minimum wage has little effect on employment.  Studies of the fast food industry by Card and Walker demonstrated that raising the minimum wage had little effect on employment levels.  And any loss of employment from higher minimum wages would be more than offset by the Keynesian stimulative effect to the economy as a whole of increasing wages among lower income workers, who tend to consume nearly 100% of incremental income.

Despite the fact that I disagree with this position, I feel I understand it pretty well -- far better, I would say, than most global warming alarmists or even media members bother to try to understand the skeptic position.  (I must say that looking back over my argument, it strikes me as more cogent and persuasive than most of the stuff on Daily Kos, so to pass a true Turing test I might have to make it a bit more incoherent).

Back in my consulting days at McKinsey & Company, we had this tradition (in hindsight I would call it almost an affectation) of giving interviewees business cases** to discuss and solve in our job interviews.  If I were running a news outlet, I would require interviewees to take an ideological Touring test - take an issue and give me the argument for each side in the way that each side would present it.

This, by the way, is probably why Paul Krugman is my least favorite person in journalism.  He knows very well that his opponents have a fairly thoughtful and (to them) well intention-ed argument but pretends to his readers that no such position exists.  Which is ironic because in some sense Krugman started the dialog on ideological Turing tests, arguing that liberals can do it easily for conservative positions but conservatives fail at it for liberal positions.


** Want an example?  Many of these cases were just strategic choices in some of our consulting work.  But some were more generic, meant to test how one might break down and attack a problem.  One I used from time to time was, "what is the size of the window glass market in Mexico?"  Most applicants were ready for this kind of BS, but I do treasure the look on a few faces of students who had not been warned about such questions.  The point of course was to think it through out loud, ie "well there are different sectors, like buildings and autos.  Each would have both a new and replacement market. Within buildings there is residential and commercial.  Taking one of these, the new residential market would be driven by new home construction times some factor representing windows per house.  One might need to understand if Mexican houses used pre-manufactured windows or constructed them from components on the building site."  etc. etc.

We Are All Lukewarmers Now

Matt Ridley has another very good editorial in the WSJ that again does a great job of outlining what I think of as the core skeptic position.  Read the whole thing, but a few excerpts:

The United Nations' Intergovernmental Panel on Climate Change will shortly publish the second part of its latest report, on the likely impact of climate change. Government representatives are meeting with scientists in Japan to sex up—sorry, rewrite—a summary of the scientists' accounts of storms, droughts and diseases to come. But the actual report, known as AR5-WGII, is less frightening than its predecessor seven years ago.

The 2007 report was riddled with errors about Himalayan glaciers, the Amazon rain forest, African agriculture, water shortages and other matters, all of which erred in the direction of alarm. This led to a critical appraisal of the report-writing process from a council of national science academies, some of whose recommendations were simply ignored.

Others, however, hit home. According to leaks, this time the full report is much more cautious and vague about worsening cyclones, changes in rainfall, climate-change refugees, and the overall cost of global warming.

It puts the overall cost at less than 2% of GDP for a 2.5 degrees Centigrade (or 4.5 degrees Fahrenheit) temperature increase during this century. This is vastly less than the much heralded prediction of Lord Stern, who said climate change would cost 5%-20% of world GDP in his influential 2006 report for the British government.

It is certainly a strange branch of science where major reports omit a conclusion because that conclusion is not what they wanted to see

The IPCC's September 2013 report abandoned any attempt to estimate the most likely "sensitivity" of the climate to a doubling of atmospheric carbon dioxide. The explanation, buried in a technical summary not published until January, is that "estimates derived from observed climate change tend to best fit the observed surface and ocean warming for [sensitivity] values in the lower part of the likely range." Translation: The data suggest we probably face less warming than the models indicate, but we would rather not say so.

Readers of this site will recognize this statement

None of this contradicts basic physics. Doubling carbon dioxide cannot on its own generate more than about 1.1C (2F) of warming, however long it takes. All the putative warming above that level would come from amplifying factors, chiefly related to water vapor and clouds. The net effect of these factors is the subject of contentious debate.

I have reluctantly accepted the lukewarmer title, though I think it is a bit lame.

In climate science, the real debate has never been between "deniers" and the rest, but between "lukewarmers," who think man-made climate change is real but fairly harmless, and those who think the future is alarming. Scientists like Judith Curry of the Georgia Institute of Technology and Richard Lindzen of MIT have moved steadily toward lukewarm views in recent years.

When I make presentations, I like to start with the following (because it gets everyone's attention):  "Yes, I am a denier.  But to say 'denier', implies that one is denying some specific proposition.  What is that proposition?  It can't be 'global warming' because propositions need verbs, otherwise it is like saying one denies weather.  I don't deny that the world has warmed over the last century.  I don't deny that natural factors play a role in this (though many alarmists seem to).  I don't even deny that man has contributed incrementally to this warming.  What I deny is the catastrophe.  Specifically, I deny that man's CO2 will warm the Earth enough to create a catastrophe.  I define "catastrophe" as an outcome where the costs of immediately reducing CO2 output with the associated loss in economic growth would be substantially less than the cost of future adaption and abatement. "

Global Warming Updates

I have not been blogging climate much because none of the debates ever change.  So here are some quick updates

  • 67% to 90% of all warming in climate forecasts still from assumptions of strong positive feedback in the climate system, rather than from CO2 warming per se (ie models still assuming about 1 degree in CO2 warming is multiplied 3-10 times by positive feedbacks)
  • Studies are still mixed about the direction of feedbacks, with as many showing negative as positive feedback.  No study that I have seen supports positive feedbacks as large as those used in many climate models
  • As a result, climate models are systematically exaggerating warming (from Roy Spenser, click to enlarge).  Note that the conformance through 1998 is nothing to get excited about -- most models were rewritten after that date and likely had plugs and adjustments to force the historical match.

click to enlarge


  • To defend the forecasts, modellers are increasingly blaming natural effects like solar cycles on the miss, natural effects that the same modellers insisted were inherently trivial contributions when skeptics used them to explain part of the temperature rise from 1978-1998.
  • By the way, 1978-1998 is still the only period since 1940 when temperatures actually rose, such that increasingly all catastrophic forecasts rely on extrapolations from this one 20-year period. Seriously, look for yourself.
  • Alarmists are still blaming every two or three sigma weather pattern on CO2 on global warming (polar vortex, sigh).
  • Even when weather is moderate, media hyping of weather events has everyone convinced weather is more extreme, when it is not. (effect explained in context of Summer of the Shark)
  • My temperature forecast from 2007 still is doing well.   Back in '07 I regressed temperature history to a linear trend plus a sine wave.

click to enlarge

Global Warming: The Unfalsifiable Hypothesis

This is hilarious.  Apparently the polar vortex proves whatever hypothesis you are trying to prove, either cooling or warming:

Steven Goddard of the Real Science blog has the goods on Time magazine.  From the 1974 Time article “Another Ice Age?”:

Scientists have found other indications of global cooling. For one thing there has been anoticeable expansion of the great belt of dry, high-altitude polar winds —the so-calledcircumpolar vortex—that sweep from west to east around the top and bottom of the world.

And guess what Time is saying this week?  Yup:

But not only does the cold spell not disprove climate change, it may well be that global warming could be making the occasional bout of extreme cold weather in the U.S. even more likely. Right now much of the U.S. is in the grip of a polar vortex, which is pretty much what it sounds like: a whirlwind of extremely cold, extremely dense air that forms near the poles. Usually the fast winds in the vortex—which can top 100 mph (161 k/h)—keep that cold air locked up in the Arctic. But when the winds weaken, the vortex can begin to wobble like a drunk on his fourth martini, and the Arctic air can escape and spill southward, bringing Arctic weather with it. In this case, nearly the entire polar vortex has tumbled southward, leading to record-breaking cold.

If You Don't Like People Saying That Climate Science is Absurd, Stop Publishing Absurd Un-Scientific Charts

Kevin Drum can't believe the folks at the National Review are still calling global warming science a "myth".  As is usual for global warming supporters, he wraps himself in the mantle of science while implying that those who don't toe the line on the declared consensus are somehow anti-science.

Readers will know that as a lukewarmer, I have as little patience with outright CO2 warming deniers as I do with those declaring a catastrophe  (for my views read this and this).  But if you are going to simply be thunderstruck that some people don't trust climate scientists, then don't post a chart that is a great example of why people think that a lot of global warming science is garbage.  Here is Drum's chart:



The problem is that his chart is a splice of multiple data series with very different time resolutions.  The series up to about 1850 has data points taken at best every 50 years and likely at 100-200 year or more intervals.  It is smoothed so that temperature shifts less than 200 years or so in length won't show up and are smoothed out.

In contrast, the data series after 1850 has data sampled every day or even hour.  It has a sampling interval 6 orders of magnitude (over a million times) more frequent.  It by definition is smoothed on a time scale substantially shorter than the rest of the data.

In addition, these two data sets use entirely different measurement techniques.  The modern data comes from thermometers and satellites, measurement approaches that we understand fairly well.  The earlier data comes from some sort of proxy analysis (ice cores, tree rings, sediments, etc.)  While we know these proxies generally change with temperature, there are still a lot of questions as to their accuracy and, perhaps more importantly for us here, whether they vary linearly or have any sort of attenuation of the peaks.  For example, recent warming has not shown up as strongly in tree ring proxies, raising the question of whether they may also be missing rapid temperature changes or peaks in earlier data for which we don't have thermometers to back-check them (this is an oft-discussed problem called proxy divergence).

The problem is not the accuracy of the data for the last 100 years, though we could quibble this it is perhaps exaggerated by a few tenths of a degree.  The problem is with the historic data and using it as a valid comparison to recent data.  Even a 100 year increase of about a degree would, in the data series before 1850, be at most a single data point.  If the sampling is on 200 year intervals, there is a 50-50 chance a 100 year spike would be missed entirely in the historic data.  And even if it were in the data as a single data point, it would be smoothed out at this data scale.

Do you really think that there was never a 100-year period in those last 10,000 years where the temperatures varied by more than 0.1F, as implied by this chart?  This chart has a data set that is smoothed to signals no finer than about 200 years and compares it to recent data with no such filter.  It is like comparing the annualized GDP increase for the last quarter to the average annual GDP increase for the entire 19th century.   It is easy to demonstrate how silly this is.  If you cut the chart off at say 1950, before much anthropogenic effect will have occurred, it would still look like this, with an anomalous spike at the right (just a bit shorter).  If you believe this analysis, you have to believe that there is an unprecedented spike at the end even without anthropogenic effects.

There are several other issues with this chart that makes it laughably bad for someone to use in the context of arguing that he is the true defender of scientific integrity

  • The grey range band is if anything an even bigger scientific absurdity than the main data line.  Are they really trying to argue that there were no years, or decades, or even whole centuries that never deviated from a 0.7F baseline anomaly by more than 0.3F for the entire 4000 year period from 7500 years ago to 3500 years ago?  I will bet just about anything that the error bars on this analysis should be more than 0.3F, much less the range of variability around the mean.  Any natural scientist worth his or her salt would laugh this out of the room.  It is absurd.  But here it is presented as climate science in the exact same article that the author expresses dismay that anyone would distrust climate science.
  • A more minor point, but one that disguises the sampling frequency problem a bit, is that the last dark brown shaded area on the right that is labelled "the last 100 years" is actually at least 300 years wide.  Based on the scale, a hundred years should be about one dot on the x axis.  This means that 100 years is less than the width of the red line, and the last 60 years or the real anthropogenic period is less than half the width of the red line.  We are talking about a temperature change whose duration is half the width of the red line, which hopefully gives you some idea why I say the data sampling and smoothing processes would disguise any past periods similar to the most recent one.

Update:  Kevin Drum posted a defense of this chart on Twitter.  Here it is:  "It was published in Science."   Well folks, there is climate debate in a nutshell.   An 1000-word dissection of what appears to be wrong with a particular analysis retorted by a five-word appeal to authority.

Update #2:  I have explained the issue with a parallel flawed analysis from politics where Drum is more likely to see the flaws.

Global Warming Folly

I have not written much about climate of late because my interest, err, runs hot and cold.  As most readers know, I am in the lukewarmer camp, meaning that I accept that Co2 is a greenhouse gas but believe that catastrophic warming forecasts are greatly exaggerated (in large part by scientifically unsupportable assumptions of strong net positive feedback in the climate system).  If what I just said is in any way news to you, read this and this for background.

Anyway, one thing I have been saying for about 8 years is that when the history of the environmental movement is written, the global warming obsession will be considered a great folly.  This is because global warming has sucked all the air out of almost anything else in the environmental movement.  For God sakes, the other day the Obama Administration OK'd the wind industry killing more protected birds in a month than the oil industry has killed in its entire history.  Every day the rain forest in the Amazon is cleared away a bit further to make room for ethanol-making crops.

This picture demonstrates a great example of what I mean.   Here is a recent photo from China:



You might reasonably say, well that pollution is from the burning of fossil fuels, and the global warming folks want to reduce fossil fuel use, so aren't they trying to fight this?  And the answer is yes, tangentially.   But here is the problem:  It is an order of magnitude or more cheaper to eliminate polluting byproducts of fossil fuel combustion than it is to eliminate fossil fuel combustion altogether.

What do I mean?  China gets a lot of pressure to reduce its carbon emissions, since it is the largest emitter in the world.  So it might build a wind project, or some solar, or some expensive high speed rail to reduce fossil fuel use.  Let's say any one of these actions reduces smog and sulfur dioxide and particulate pollution (as seen in this photo) by X through reduction in fossil fuel use.  Now, let's take whatever money we spent in, say, a wind project to get X improvement and instead invest it in emissions control technologies that the US has used for decades (coal plant scrubbers, gasoline blending changes, etc) -- invest in making fossil fuel use cleaner, not in eliminating it altogether.  This same money invested in this way would get 10X, maybe even up to 100X improvement in these emissions.

By pressuring China on carbon, we have unwittingly helped enable their pollution problem.  We are trying to get them to do 21st century things that the US can't even figure out how to do economically when in actuality what they really need to be doing is 1970's things that would be relatively easy to do and would have a much bigger impact on their citizen's well-being.

Climate Humor from the New York Times

Though this is hilarious, I am pretty sure Thomas Lovejoy is serious when he writes

But the complete candor and transparency of the [IPCC] panel’s findings should be recognized and applauded. This is science sticking with the facts. It does not mean that global warming is not a problem; indeed it is a really big problem.

This is a howler.  Two quick examples.  First, every past IPCC report summary has had estimates for climate sensitivity, ie the amount of temperature increase they expect for a doubling of CO2 levels.  Coming into this IPCC report, emerging evidence from recent studies has been that the climate sensitivity is much lower than previous estimates.  So what did the "transparent" IPCC do?  They, for the first time, just left out the estimate rather than be forced to publish one that was lower than the last report.

The second example relates to the fact that temperatures have been flat over the last 15-17 years and as a result, every single climate model has overestimated temperatures.  By a lot. In a draft version, the IPCC created this chart (the red dots were added by Steve McIntyre after the chart was made as the new data came in).

figure-1-4-models-vs-observations-annotated (1)


This chart was consistent with a number of peer-reviewed studies that assessed the performance of climate models.  Well, this chart was a little too much "candor" for the transparent IPCC, so they replaced it with this chart in the final draft:



What a mess!  They have made the area we want to look at between 1990 and the present really tiny, and then they have somehow shifted the forecast envelopes down on several of the past reports so that suddenly current measurements are within the bands.   They also hide the bottom of the fourth assessment band (orange FAR) so you can't see that observations are out of the envelope of the last report.  No one so far can figure out how they got the numbers in this chart, and it does not match any peer-reviewed work.  Steve McIntyre is trying to figure it out.

OK, so now that we are on the subject of climate models, here is the second hilarious thing Lovejoy said:

Does the leveling-off of temperatures mean that the climate models used to track them are seriously flawed? Not really. It is important to remember that models are used so that we can understand where the Earth system is headed.

Does this make any sense at all?  Try it in a different context:  The Fed said the fact that their economic models failed to predict what actually happened over the last 15 years is irrelevant because the models are only used to see where the economy is headed.

The consistent theme of this report is declining certainty and declining chances of catastrophe, two facts that the IPCC works as hard as possible to obfuscate but which still come out pretty clearly as one reads the report.

Appeals to Authority

A reader sends me a story of global warming activist who clearly doesn't know even the most basic facts about global warming.  Since this article is about avoiding appeals to authority, so I hate to ask you to take my word for it, but it is simply impossible to immerse oneself in the science of global warming for any amount of time without being able to immediately rattle off the four major global temperature data bases (or at least one of them!)

I don't typically find it very compelling to knock a particular point of view just because one of its defenders is a moron, unless that defender has been set up as a quasi-official representative of that point of view (e.g. Al Gore).  After all, there are plenty of folks on my side of issues, including those who are voicing opinions skeptical of catastrophic global warming, who are making screwed up arguments.

However, I have found over time this to be an absolutely typical situation in the global warming advocacy world.  Every single time I have publicly debated this issue, I have understood the opposing argument, ie the argument for catastrophic global warming, better than my opponent.   In fact, I finally had to write a first chapter to my usual presentation.  In this preamble, I outline the case and evidence for manmade global warming so the audience could understand it before I then set out to refute it.

The problem is that the global warming alarm movement has come to rely very heavily on appeals to authority and ad hominem attacks in making their case.  What headlines do you see? 97% of scientists agree, the IPCC is 95% sure, etc.  These "studies", which Lord Monkton (with whom I often disagree but who can be very clever) calls "no better than a show of hands", dominate the news.  When have you ever seen a story in the media about the core issue of global warming, which is diagnosing whether positive feedbacks truly multiply small bits of manmade warming to catastrophic levels.  The answer is never.

Global warming advocates thus have failed to learn how to really argue the science of their theory.  In their echo chambers, they have all agreed that saying "the science is settled" over and over and then responding to criticism by saying "skeptics are just like tobacco lawyers and holocaust deniers and are paid off by oil companies" represents a sufficient argument.**  Which means that in an actual debate, they can be surprisingly easy to rip to pieces.  Which may be why most, taking Al Gore's lead, refuse to debate.

All of this is particularly ironic since it is the global warming alarmists who try to wrap themselves in the mantle of the defenders of science.  Ironic because the scientific revolution began only when men and women were willing to reject appeals to authority and try to understand things for themselves.


** Another very typical tactic:  They will present whole presentations without a single citation.   But make one statement in your rebuttal as a skeptic that is not backed with a named, peer-reviewed study, and they will call you out on it.  I remember in one presentation, I was presenting some material that was based on my own analysis.  "But this is not peer-reviewed" said one participant, implying that it should therefore be ignored.  I retorted that it was basic math, that the data sources were all cited, and they were my peers -- review it.  Use you brains.  Does it make sense?  Is there a flaw?  But they don't want to do that.  Increasingly, oddly, science is about having officially licensed scientists delivery findings to them on a platter.

Great Moments in Predictions -- Al Gore's Ice Forecast

Via Icecap (I still don't think they have permalinks that work)

In his Dec. 10, 2007 “Earth has a fever” speech, Gore referred to a prediction by U.S. climate scientist Wieslaw Maslowski that the Arctic’s summer ice could “completely disappear” by 2013 due to global warming caused by carbon emissions.

Gore said that on Sept. 21, 2007, “scientists reported with unprecedented alarm that the North Polar icecap is, in their words, ‘falling off a cliff.’ One study estimated that it could be completely gone during summer in less than 22 years. Another new study to be presented by U.S. Navy researchers later this week warns that it could happen in as little as seven years, seven years from now.”

Maslowski told members of the American Geophysical Union in 2007 that the Arctic’s summer ice could completely disappear within the decade. “If anything,” he said, “our projection of 2013 for the removal of ice in already too conservative.”

The former vice president also warned that rising temperatures were “a planetary emergency and a threat to the survival of our civilization.”

However, instead of completely melting away, the polar icecap is at now at its highest level for this time of year since 2006.

Some Responsible Press Coverage of Record Temperatures

The Phoenix New Times blog had a fairly remarkable story on a record-hot Phoenix summer.  The core of the article is a chart from the NOAA.  There are three things to notice in it:

  • The article actually acknowledges that higher temperatures were due to higher night-time lows rather than higher daytime highs  Any mention of this is exceedingly rare in media stories on temperatures, perhaps because the idea of a higher low is confusing to communicate
  • It actually attributes urban warming to the urban heat island effect
  • It makes no mention of global warming

Here is the graphic:



This puts me in the odd role of switching sides, so to speak, and observing that greenhouse warming could very likely manifest itself as rising nighttime lows (rather than rising daytime highs).  I can only assume the surrounding area of Arizona did not see the same sort of records, which would support the theory that this is a UHI effect.

Phoenix has a huge urban heat island effect, which my son actually measured.  At 9-10 in the evening, we measured a temperature differential of 8-12F from city center to rural areas outside the city.  By the way, this is a fabulous science fair project if you know a junior high or high school student trying to do something different than growing bean plants under different color lights.

Trend That is Not A Trend: Rolling Stone Wildfire Article

Rolling Stone brings us an absolutely great example of an article that claims a trend without actually showing the trend data, and where the actual data point to a trend in the opposite direction as the one claimed.

I won't go into the conclusions of the article.  Suffice it to say it is as polemical as anything I have read of late and could be subtitled "the Tea Party and Republicans suck."  Apparently Republicans are wrong to criticize government wildfire management and do so only because they suck, and the government should not spend any effort to fight wildfires that threaten private property but does so only because Republicans, who suck, make them.  Or something.

What I want to delve into is the claim by the author that wildfires are increasing due to global warming, and only evil Republicans (who suck) could possibly deny this obvious trend (numbers in parenthesis added so I can reference passages below):

 But the United States is facing an even more basic question: How should we manage fire, given the fact that, thanks to climate change, the destruction potential for wildfires across the nation has never been greater? In the past decade alone, at least 10 states – from Alaska to Florida – have been hit by the largest or most destructive wildfires in their respective histories (1). Nationally, the cost of fighting fires has increased from $1.1 billion in 1994 to $2.7 billion in 2011.(2)

The line separating "fire season" from the rest of the year is becoming blurry. A wildfire that began in Colorado in early October continued smoldering into May of this year. Arizona's first wildfire of 2013 began in February, months ahead of the traditional firefighting season(3). A year-round fire season may be the new normal. The danger is particularly acute in the Intermountain West, but with drought and record-high temperatures in the Northwest, Midwest, South and Southeast over the past several years, the threat is spreading to the point that few regions can be considered safe....

For wildland firefighters, the debate about global warming was over years ago. "On the fire lines, it is clear," fire geographer Michael Medler told a House committee in 2007. "Global warming is changing fire behavior, creating longer fire seasons and causing more frequent, large-scale, high-severity wildfires."...(4)

Scientists have cited climate change as a major contributor in some of the biggest wildfires in recent years, including the massive Siberian fires during a record heat wave in 2010 and the bushfires that killed 173 people in Australia in 2009.(5)...

The problem is especially acute in Arizona, where average annual temperatures have risen nearly three-quarters of a degree Fahrenheit each decade since 1970, making it the fastest­-warming state in the nation. Over the same period, the average annual number of Arizona wildfires on more than 1,000 acres has nearly quadrupled, a record unsurpassed by any other state and matched only by Idaho. One-quarter of Arizona's signature ponderosa pine and mixed-conifer forests have burned in just the past decade. (6)...

At a Senate hearing in June, United States Forest Service Chief Thomas Tidwell testified that the average wildfire today burns twice as many acres as it did 40 years ago(7). "In 2012, over 9.3 million acres burned in the United States," he said – an area larger than New Jersey, Connecticut and Delaware combined. Tidwell warned that the outlook for this year's fire season was particularly grave, with nearly 400 million acres – more than double the size of Texas – at a moderate-to-high risk of burning.(8)

These are the 8 statements I can find to support an upward trend in fires.  And you will note, I hope, that none of them include the most obvious data - what has the actual trend been in number of US wildfires and acres burned.  Each of these is either a statement of opinion or a data point related to fire severity in a particular year, but none actually address the point at hand:  are we getting more and larger fires?

Maybe the data does not exist.  But in fact it does, and I will say there is absolutely no way, no way, the author has not seen the data.  The reason it is not in this article is because it does not fit the "reporters" point of view so it is left out.  Here is where the US government tracks fires by year, at the National Interagency Fire Center.   To save you clicking through, here is the data as of this moment:

click to enlarge fires 2013 to date


Well what do you know?  The number of fires and the acres burned in 2013 are not some sort of record high -- in fact they actually are the, respectively, lowest and second lowest numbers of the last 10 years.  In fact, both the number of fires and the total acres burned are running a third below average.

The one thing this does not address is the size of fires.  The author implies that there are more fires burning more acres, which we see is clearly wrong, but perhaps the fires are getting larger?  Well, 2012 was indeed an outlier year in that fires were larger than average, but 2013 has returned to the trend which has actually been flat to down, again exactly opposite of the author's contention (data below is just math from chart above)

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In the rest of the post, I will briefly walk through his 8 statements highlighted above and show why they exhibit many of the classic fallacies in trying to assert a trend where none exists.  In the postscript, I will address one other inconsistency from the article as to the cause of these fires which is a pretty hilarious of how to turn any data to supporting you hypothesis, even if it is unrelated.  Now to his 8 statements:

(1) Again, no trend here, this is simply a single data point.  He says that  10 states have set in one year or another in the last decade a record for one of two variables related to fires.  With 50 states and 2 variables, we have 100 measurements that can potentially hit a record in any one year.  So if we have measured fires and fire damage for about 100 years (about the age of the US Forest Service), then we would expect on average 10 new records every decade, exactly what the author found.  Further, at least one of these -- costliness of the fires -- should be increasing over time due to higher property valuations and inflation, factors I am betting the author did not adjust for.

(2)  This cost increase over 17 years represents a 5.4% per year inflation.  It is very possible this is entirely due to changes in firefighting unit costs and methods rather than any change in underlying fire counts.

(3) This is idiotic, a desperate reach by an author with an axe to grind.  Wildfires in Arizona often occur out of fire season.   Having a single fire in the winter means nothing.

(4) Again, we know the data does not support the point.  If the data does not support your point, find some "authority" that will say it is true.  There is always someone somewhere who will say anything is true.

(5) It is true that there are scientists who have blamed global warming for these fires.  Left unmentioned is that there are also scientists who think that it is impossible to parse the effect of a 0.5C increase in global temperatures from all the other potential causes of individual weather events and disasters.  If there is no data to support a trend in the mean, it is absolutely irresponsible to claim causality in isolated data points in the tails of the distribution

(6) The idea that temperatures in Arizona have risen 3/4 a degree F for four decades is madness.  Not even close.  This would be 3F, and there is simply no basis in any reputable data base I have seen to support this.  It is potentially possible to take a few AZ urban thermometers to see temperature increases of this magnitude, but they would be measuring mostly urban heat island effects, and not rural temperatures that drive wildfires (more discussion here).  The statement that "the average annual number of Arizona wildfires on more than 1,000 acres has nearly quadrupled" is so awkwardly worded we have to suspect the author is reaching here.  In fact, since wildfires average about 100 acres, the 1000 acre fire is going to be rare.  My bet is that this is a volatility in small numbers (e.g. 1 to 4) rather than a real trend.  His final statement that "One-quarter of Arizona's signature ponderosa pine and mixed-conifer forests have burned in just the past decade" is extremely disingenuous.  The reader will be forgiven for thinking that a quarter of the trees in Arizona have burned.  But in fact this only means there have been fires in a quarter of the forests -- a single tree in one forest burning would likely count for this metric as a forest which burned.

(7) This may well be true, but means nothing really.  It is more likely, particularly given the evidence of the rest of the article, to be due to forest management processes than global warming.

(8)  This is a data point, not a trend.  Is this a lot or a little?  And remember, no matter how much he says is at risk (and remember this man is testifying to get more budget money out of Congress, so he is going to exaggerate) the actual acreage burning is flat to down.

Postscript:  The article contains one of the most blatant data bait and switches I have ever seen.  The following quote is taken as-is in the article and has no breaks or editing and nothing left out.   Here is what you are going to see.  All the way up to the last paragraph, the author tells a compelling story that the fires are due to a series of USFS firefighting and fuel-management policies.  Fair enough.   His last paragraph says that Republicans are the big problem for opposing... opposing what?  Changes to the USFS fire management practices?  No, for opposing the Obama climate change plan. What??  He just spent paragraphs building a case that this is a fire and fuel management issue, but suddenly Republicans suck for opposing the climate change bill?

Like most land in the West, Yarnell is part of an ecosystem that evolved with fire. "The area has become unhealthy and unnatural," Hawes says, "because fires have been suppressed." Yarnell is in chaparral, a mix of small juniper, oak and manzanita trees, brush and grasses. For centuries, fires swept across the chaparral periodically, clearing out and resetting the "fuel load." But beginning in the early 1900s, U.S. wildfire policy was dominated by fire suppression, formalized in 1936 as "the 10 a.m. rule" – fires were to be extinguished by the morning after they were spotted; no exceptions. Back in the day, the logic behind the rule appeared sound: If you stop a fire when it's small, it won't become big. But wildland ecosystems need fire as much as they need rain, and it had been some 45 years since a large fire burned around Yarnell. Hawes estimates that there could have been up to five times more fuel to feed the Yarnell Hill fire than was natural.

The speed and intensity of a fire in overgrown chaparral is a wildland firefighter's nightmare, according to Rick Heron, part of another Arizona crew that worked on the Yarnell Hill fire. Volatile resins and waxy leaves make manzanita "gasoline in plant form," says Heron. He's worked chaparral fires where five-foot-tall manzanitas produced 25-foot-high flames. Then there are the decades of dried-up grasses, easily ignitable, and the quick-burning material known as "fine" or "flash" fuels. "That's the stuff that gets you," says Heron. "The fine, flashy fuels are just insane. It doesn't look like it's going to be a problem. But when the fire turns on you, man, you can't outdrive it. Let alone outrun it."

Beginning with the Forest Service in 1978, the 10 a.m. rule was gradually replaced by a plan that gave federal agencies the discretion to allow fires to burn where appropriate. But putting fire back in the landscape has proved harder to do in practice, where political pressures often trump science and best-management practices. That was the case last year when the Forest Service once again made fire suppression its default position. Fire managers were ordered to wage an "aggressive initial attack" on fires, and had to seek permission to deviate from this practice. The change was made for financial reasons. Faced with skyrocketing costs of battling major blazes and simultaneous cuts to the Forest Service firefighting budget, earlier suppression would, it was hoped, keep wildfires small and thus reduce the cost of battling big fires.

Some critics think election-year politics may have played a role in the decision. "The political liability of a house burning down is greater than the political liability of having a firefighter die," says Kierán Suckling, head of the Tucson-based Center for Biological Diversity. "If they die, you just hope that the public narrative is that they were American heroes."

The problem will only get worse as extremist Republicans and conservative Democrats foster a climate of malign neglect. Even before President Obama unveiled a new climate-change initiative days before the fire, House Speaker John Boehner dismissed the reported proposal as "absolutely crazy." Before he was elected to the Senate last November, Jeff Flake, then an Arizona congressman, fought to prohibit the National Science Foundation from funding research on developing a new model for international climate-change analysis, part of a program he called "meritless." The biggest contributor to Flake's Senate campaign was the Club for Growth, whose founder, Stephen Moore, called global warming "the biggest myth of the last one hundred years."

By the way, the Yarnell firefighters did not die due to global warming or even the 10am rule.  They died due to stupidity.  Whether their own or their leaders may never be clear, but I have yet to meet a single firefighter that thought they had any business being where they were and as out of communication as they were.


About That "Thousand Year" Storm in Colorado....

Last week I expressed my doubts that the storm in Colorado was really, as described breathlessly at the Weather Underground, a once in a thousand year storm (the logic of the article, and many others, being that one in a thousand is the same as "zero" and thus the storm could not have occurred naturally and therefore Global Warming).

Turns out it is not even close.  From the Colorado Climate Center at Colorado State University:

How much rain fell on Colorado this week? And where? Colorado residents can help the weather experts at Colorado State University answer these questions.

In response to the incredible recent rains and flooding in parts of the state, the Colorado Climate Center will be mapping rainfall totals and graphing hourly intensities for the entire state for the period beginning Sunday, Sept. 8 (as storms first developed over southern Colorado) through the end of the storm later this weekend

"As is typical of Colorado storms, some parts of the state were hard hit and others were untouched. Still, this storm is ranking in the top ten extreme flooding events since Colorado statehood," said Nolan Doesken, State Climatologist at CSU. "It isn't yet as extreme or widespread as the June 1965 floods or as dramatic as the 1935 floods but it ranks right up there among some of the worst.”

Among the worst, according to Climate Center data, occurred in May 1904, October 1911, June 1921, May 1935, September 1938, May 1955, June 1965, May 1969, October 1970, July 1976, July 1981, and, of course, the Spring Creek Flood of July 1997 that ravaged Fort Collins and the CSU campus.

."Every flood event in Colorado has its own unique characteristics," said Doesken. "But the topography of the Colorado Front Range makes this area particularly vulnerable when the necessary meteorological conditions come together as they did this week."

So it is perhaps a one in fifteen year flood.  Note that (by the math in my previous article linked above) a one in fifteen year flood covering an area half the size of Colorado should occur on overage over 60+ times a year around the world.  Our intuition about tail of the distribution event frequency is not very good, which is just another reason they make a poor proxy for drawing conclusions about trends in the mean of some phenomenon.