CO2 Fail (Revisited)

ADDENDUM BELOW

I observed, in November 2020, that there is no connection between CO2 emissions and the amount of CO2 in the atmosphere. This suggests that emissions have little or no effect on the concentration of CO2. A recent post at WUWT notes that emissions hit a record high in 2021. What the post doesn’t address is the relationship between emissions and the concentration of CO2 in the atmosphere.

See for yourself. Here’s the WUWT graph of emissions from energy combustion and industrial processes:

Here’s the record of atmospheric CO2:

It’s obvious that CO2 has been rising monotonically, with regular seasonal variations, while emissions have been rising irregularly — even declining and holding steady at times. This relationship (or lack thereof) supports the thesis that the rise in atmospheric CO2 is the result of warming, not its cause.

ADDENDUM (04/09/22):

Dr. Roy Spencer, in a post at his eponymous blog, writes:

[T]he greatest correlations are found with global (or tropical) surface temperature changes and estimated yearly anthropogenic emissions. Curiously, reversing the direction of causation between surface temperature and CO2 (yearly changes in SST [dSST/dt] being caused by increasing CO2) yields a very low correlation.

That is to say, temperature changes seem to drive CO2 levels, not the other way around (which is the conventional view).


Sources for CO2 levels:

https://gml.noaa.gov/ccgg/trends/gl_data.html

https://gml.noaa.gov/ccgg/trends/data.html


Related reading: Clyde Spencer, “Anthropogenic CO2 and the Expected Results from Eliminating It” [zero, zilch, zip, nada], Watts Up With That?, March 22, 2022

The 96-Year Pause

Much has been written (pro and con) about the “pause” in global warming climate change the synthetic reconstruction of Earth’s “average” temperature from 1997 to 2012. That pause was followed fairly quickly by a new one, which began in 2014 and is still in progress (if a pause can be said to exhibit progress).

Well, I have a better one for you, drawn from the official temperature records for Austin, Texas — the festering Blue wound in the otherwise healthy Red core of Texas. (Borrowing Winston Churchill’s formulation, Austin is the place up with which I have put for 18 years — and will soon quit, to my everlasting joy.)

There is a continuous record of temperatures in central Austin from January 1903 to the present. The following graph is derived from that record:

A brief inspection of the graph reveals the obvious fact that there was a pause in Austin’s average temperature from (at least) 1903 until sometime in 1999. Something happened in 1999 to break the pause. What was it? It couldn’t have been “global warming”, the advocates of which trace back to the late 1800s (despite some prolonged cooling periods after that).

Austin’s weather station was relocated in 1999, which might have had something to do with it. More likely, the illusory jump in Austin’s temperature was caused by the urban heat-island effect induced by the growth of Austin’s population, which increased markedly from 1999 to 2000, and has been rising rapidly ever since.


Related reading:

Paul Homewood, “Washington’s New Climate ‘Normals’ Are Hotter“, Not a Lot of People Know That, May 6, 2021 (wherein the writer shows that the rise in D.C.’s new “normal” temperatures is due to the urban heat-island effect)

H. Sterling Burnett, “Sorry, CBS, NOAA’s ‘U.S. Climate Normals’ Report Misrepresents the Science“, Climate Realism, May 7, 2021 (just what the title says)

The “Pause” Redux: The View from Austin

Christopher Monckton of Brenchley — who, contrary to Wikipedia, is not a denier of “climate change” but a learned critic of its scale and relationship to CO2 — posits a new “pause” in global warming:

At long last, following the warming effect of the El Niño of 2016, there are signs of a reasonably significant La Niña, which may well usher in another Pause in global temperature, which may even prove similar to the Great Pause that endured for 224 months from January 1997 to August 2015, during which a third of our entire industrial-era influence on global temperature drove a zero trend in global warming:

As we come close to entering the la Niña, the trend in global mean surface temperature has already been zero for 5 years 4 months:

There is not only a global pause, but a local one in a place that I know well: Austin, Texas. I have compiled the National Weather Service’s monthly records for Austin, which go back to the 1890s. More to the point here, I have also compiled daily weather records since October 1, 2014, for the NWS station at Camp Mabry, in the middle of Austin’s urban heat island. Based on those records, I have derived a regression equation that adjusts the official high-temperature readings for three significant variables: precipitation (which strongly correlates with cloud cover), wind speed, and wind direction (the combination of wind from the south has a marked, positive effect on Austin’s temperature).

Taking October 1, 2014, as a starting point, I constructed cumulative plots of the average actual and adjusted  deviations from normal:

Both averages have remained almost constant since April 2017, that is, almost four years ago. The adjusted deviation is especially significant because the hypothesized effect of CO2 on temperature doesn’t depend on other factors, such as precipitation, wind speed, or wind direction. Therefore, there has been no warming in Austin — despite some very hot spells — since April 2017.

Moreover, Austin’s population grew by about 5 percent from 2017 to 2020. According to the relationship between population and temperature presented here, that increase would have induced an temperature increase of 0.1 degrees Fahrenheit. That’s an insignificant number in the context of this analysis — though one that would have climate alarmists crying doom — but it reinforces my contention that Austin’s “real” temperature hasn’t risen for the past 3.75 years.


Related page and posts:

Climate Change
AGW in Austin?
AGW in Austin? (II)
UHI in Austin Revisited

CO2 Fail

Anthony Watts of Watts Up With That? catches the U.N. in a moment of candor:

From a World Meteorological Organization (WMO) press release titled “Carbon dioxide levels continue at record levels, despite COVID-19 lockdown,” comes this statement about the effects of carbon dioxide (CO2) reductions during the COVID-19 lockdown:

“Preliminary estimates indicate a reduction in the annual global emission between 4.2% and 7.5%. At the global scale, an emissions reduction this scale will not cause atmospheric CO2 to go down. CO2 will continue to go up, though at a slightly reduced pace (0.08-0.23 ppm per year lower). This falls well within the 1 ppm natural inter-annual variability. This means that on the short-term the impact [of CO2 reduction] of the COVID-19 confinements cannot be distinguished from natural variability…”

Let this sink in: The WMO admits reduce carbon dioxide emissions are having no effect on climate that is distinguishable from natural variability.

The WMO acknowledges that after our global economic lockdown, where CO2 emissions from travel, industry, and power generation were all curtailed, there wasn’t any measurable difference in global atmospheric CO2 levels. Zero, zilch, none, nada.

Of course, we already knew this and wrote about it on Climate at a Glance: Coronavirus Impact on CO2 Levels. An analysis by climate scientist Dr. Roy Spencer showed that despite crashing economies and large cutbacks in travel, industry, and energy generation, climate scientists have yet to find any hint of a drop in atmospheric CO2 levels.

The graph in Watts’s post depicts CO2 readings only for Mauna Loa, and only through April 2020. The following graph covers CO2 readings for Mauna Loa (through October 2020) and for a global average of marine surface sites (through August 2020):

The bottom line remains the same: There’s nothing to see here, folks, just an uninterrupted pattern of seasonal variations.

Climate-change fanatics will have to look elsewhere than human activity for the rise in atmospheric CO2.


Data definitions and source:

https://www.esrl.noaa.gov/gmd/ccgg/trends/mlo.html

ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_mm_mlo.txt

https://www.esrl.noaa.gov/gmd/ccgg/trends/global.html

ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_mm_gl.txt

UHI in Austin Revisited

See “Climate Hysteria: An Update” for the background of this post.

The average annual temperature in the city of Austin, Texas, rose by 3.7 degrees F between 1960 and 2019, that is, from 67.2 degrees to 70.9 degrees. The increase in Austin’s population from 187,000 in 1960 to 930,000 in 2019 accounts for all of the increase. (The population estimate for 2019 reflects a downward adjustment to compensate for an annexation in 1998 that significantly enlarged Austin’s territory and population.)

My estimate of the effect of Austin’s population increase on temperature is based on the equation for North American cities in T.R. Oke’s “City Size and the Urban Heat Island”. The equation (simplified for ease of reproduction) is

T’ = 2.96 log P – 6.41

Where,

T’ = change in temperature, degrees C

P = population, holding area constant

The author reports r-squared = 0.92 and SE = 0.7 degrees C (1.26 degrees F).

I plugged the values for Austin’s population in 1960 and 2019 into the equation, took the difference between the results, and converted that difference to degrees Fahrenheit, with this result: The effect of Austin’s population growth from 1960 to 2019 was to increase Austin’s temperature by 3.7 degrees F. What an amazing non-coincidence.

Austin’s soup weather nazi should now shut up about the purported effect of “climate change” on Austin’s temperature.

Climate Hysteria: An Update

I won’t repeat all of “Climate Hysteria“, which is long but worth a look if you haven’t read it. A key part of it is a bit out of date, specifically, the part about the weather in Austin, Texas.

Last fall’s heat wave in Austin threw our local soup weather nazi into a tizzy. Of course it did; he proclaims it “nice” when daytime high temperatures are in the 60s and 70s, and complains about anything above 80. I wonder why he stays in Austin.

The weather nazi is also a warmist. He was in “climate change” heaven when, on several days in September and October, the official weather station in Austin reported new record highs for the relevant dates. To top it off, tropical storm Imelda suddenly formed in mid-September near the gulf coast of Texas and inundated Houston. According to the weather nazi, both events were due to “climate change”. Or were they just weather? My money’s on the latter.

Let’s take Imelda, which the weather nazi proclaimed to be an example of the kind of “extreme” weather event that will occur more often as “climate change” takes us in the direction of catastrophe. Those “extreme” weather events, when viewed globally (which is the only correct way to view them) aren’t occurring more often, as I document in “Hurricane Hysteria“.

Here, I want to focus on Austin’s temperature record.

There are some problems with the weather nazi’s reaction to the heat wave. First, the global circulation models (GCMs) that forecast ever-rising temperatures have been falsified. (See the discussion of GCMs here.) Second, the heat wave and the dry spell should be viewed in perspective. Here, for example are annualized temperature and rainfall averages for Austin, going back to the decade in which “global warming” began to register on the consciousnesses of climate hysterics:

What do you see? I see a recent decline in Austin’s average temperature from the El Nino effect of 2015-2016. I also see a decline in rainfall that doesn’t come close to being as severe the a dozen or so declines that have occurred since 1970.

Here’s a plot of the relationship between monthly average temperature and monthly rainfall during the same period. The 1-month lag in temperature gives the best fit. The equation is statistically significant, despite the low correlation coefficient (r = 0.24) because of the large number of observations.

Abnormal heat is to be expected when there is little rain and a lot of sunshine. In other words, temperature data, standing by themselves, are of little use in explaining a region’s climate.

Drawing on daily weather reports for the past five-and-a-half years in Austin, I find that Austin’s daily high temperature is significantly affected by rainfall, wind speed, wind direction, and cloud cover. For example (everything else being the same):

  • An additional inch of rainfall induces an temperature drop of 1.4 degrees F.
  • A wind of 10 miles an hour from the north induces a temperature drop of about 5.9 degrees F relative to a 10-mph wind from the south.
  • Going from 100-percent sunshine to 100-percent cloud cover induces a temperature drop of 0.3 degrees F.
  • The combined effect of an inch of rain and complete loss of sunshine is therefore 1.7 degrees F, even before other factors come into play (e.g., rain accompanied by wind from the north or northwest, as is often the case in Austin).

The combined effects of variations in rainfall, wind speed, wind direction, and cloud cover are far more than enough to account for the molehill temperature anomalies that “climate change” hysterics magnify into mountains of doom.

Further, there is no systematic bias in the estimates, as shown by the following plot of regression residuals:


Meteorological seasons: tan = fall (September, October, November); blue = winter (December, January, February); green = spring (March, April, May); ochre = summer (June July, August). Values greater than zero = underestimates; values less than zero = overestimates.

Summer is the most predictable of the seasons; winter, the least predicable; spring and fall are in between. However, the fall of 2019 (which included both the hot spell and cold snap discussed above) was dominated by overestimated (below-normal) temperatures, not above-normal ones, despite the weather-nazi’s hysteria to the contrary. In fact, the below-normal temperatures were the most below-normal of those recorded during the five-and-a-half year period.

The winter of 2019-2020 was on the warm side, but not abnormally so (cf. the winter of 2016-2017). Further, the warming in the winter of 2019-2020 can be attributed in part to weak El Nino conditions.

Lurking behind all of this, and swamping all other causes of the (slightly upward) temperature trend is a pronounced urban-heat-island (UHI) effect (discussed here). What the weather nazi really sees (but doesn’t understand or won’t admit) is that Austin is getting warmer mainly because of rapid population growth (50 percent since 2000) and all that has ensued — more buildings, more roads, more vehicles on the move, and less green space.

The moral of the story: If you really want to do something about the weather, move to a climate that you find more congenial (hint, hint).

Not-So-Random Thoughts (XXV)

“Not-So-Random Thoughts” is an occasional series in which I highlight writings by other commentators on varied subjects that I have addressed in the past. Other entries in the series can be found at these links: I, II, III, IV, V, VI, VII, VIII, IX, X, XI, XII, XIII, XIV, XV, XVI, XVII, XVIII, XIX, XX, XXI, XXII, XXIII, and XXIV. For more in the same style, see “The Tenor of the Times” and “Roundup: Civil War, Solitude, Transgenderism, Academic Enemies, and Immigration“.

CONTENTS

The Real Unemployment Rate and Labor-Force Participation

Is Partition Possible?

Still More Evidence for Why I Don’t Believe in “Climate Change”

Transgenderism, Once More

Big, Bad Oligopoly?

Why I Am Bunkered in My Half-Acre of Austin

“Government Worker” Is (Usually) an Oxymoron


The Real Unemployment Rate and Labor-Force Participation

There was much celebration (on the right, at least) when it was announced that the official unemployment rate, as of November, is only 3.5 percent, and that 266,000 jobs were added to the employment rolls (see here, for example). The exultation is somewhat overdone. Yes, things would be much worse if Obama’s anti-business rhetoric and policies still prevailed, but Trump is pushing a big boulder of deregulation uphill.

In fact, the real unemployment rate is a lot higher than official figure I refer you to “Employment vs. Big Government and Disincentives to Work“. It begins with this:

The real unemployment rate is several percentage points above the nominal rate. Officially, the unemployment rate stood at 3.5 percent as of November 2019. Unofficially — but in reality — the unemployment rate was 9.4 percent.

The explanation is that the labor-force participation rate has declined drastically since peaking in January 2000. When the official unemployment rate is adjusted to account for that decline (and for a shift toward part-time employment), the result is a considerably higher real unemployment rate.

Arnold Kling recently discussed the labor-force participation rate:

[The] decline in male labor force participation among those without a college degree is a significant issue. Note that even though the unemployment rate has come down for those workers, their rate of labor force participation is still way down.

Economists on the left tend to assume that this is due to a drop in demand for workers at the low end of the skill distribution. Binder’s claim is that instead one factor in declining participation is an increase in the ability of women to participate in the labor market, which in turn lowers the advantage of marrying a man. The reduced interest in marriage on the part of women attenuates the incentive for men to work.

Could be. I await further analysis.


Is Partition Possible?

Angelo Codevilla peers into his crystal ball:

Since 2016, the ruling class has left no doubt that it is not merely enacting chosen policies: It is expressing its identity, an identity that has grown and solidified over more than a half century, and that it is not capable of changing.

That really does mean that restoring anything like the Founders’ United States of America is out of the question. Constitutional conservatism on behalf of a country a large part of which is absorbed in revolutionary identity; that rejects the dictionary definition of words; that rejects common citizenship, is impossible. Not even winning a bloody civil war against the ruling class could accomplish such a thing.

The logical recourse is to conserve what can be conserved, and for it to be done by, of, and for those who wish to conserve it. However much force of what kind may be required to accomplish that, the objective has to be conservation of the people and ways that wish to be conserved.

That means some kind of separation.

As I argued in “The Cold Civil War,” the natural, least stressful course of events is for all sides to tolerate the others going their own ways. The ruling class has not been shy about using the powers of the state and local governments it controls to do things at variance with national policy, effectively nullifying national laws. And they get away with it.

For example, the Trump Administration has not sent federal troops to enforce national marijuana laws in Colorado and California, nor has it punished persons and governments who have defied national laws on immigration. There is no reason why the conservative states, counties, and localities should not enforce their own view of the good.

Not even President Alexandria Ocasio-Cortez would order troops to shoot to re-open abortion clinics were Missouri or North Dakota, or any city, to shut them down. As Francis Buckley argues in American Secession: The Looming Breakup of the United States, some kind of separation is inevitable, and the options regarding it are many.

I would like to believe Mr. Codevilla, but I cannot. My money is on a national campaign of suppression, which will begin the instant that the left controls the White House and Congress. Shooting won’t be necessary, given the massive displays of force that will be ordered from the White House, ostensibly to enforce various laws, including but far from limited to “a woman’s right to an abortion”. Leftists must control everything because they cannot tolerate dissent.

As I say in “Leftism“,

Violence is a good thing if your heart is in the “left” place. And violence is in the hearts of leftists, along with hatred and the irresistible urge to suppress that which is hated because it challenges leftist orthodoxy — from climate skepticism and the negative effect of gun ownership on crime to the negative effect of the minimum wage and the causal relationship between Islam and terrorism.

There’s more in “The Subtle Authoritarianism of the ‘Liberal Order’“; for example:

[Quoting Sumantra Maitra] Domestically, liberalism divides a nation into good and bad people, and leads to a clash of cultures.

The clash of cultures was started and sustained by so-called liberals, the smug people described above. It is they who — firmly believing themselves to be smarter, on the the side of science, and on the side of history — have chosen to be the aggressors in the culture war.

Hillary Clinton’s remark about Trump’s “deplorables” ripped the mask from the “liberal” pretension to tolerance and reason. Clinton’s remark was tantamount to a declaration of war against the self-appointed champion of the “deplorables”: Donald Trump. And war it has been. much of it waged by deep-state “liberals” who cannot entertain the possibility that they are on the wrong side of history, and who will do anything — anything — to make history conform to their smug expectations of it.


Still More Evidence for Why I Don’t Believe in “Climate Change”

This is a sequel to an item in the previous edition of this series: “More Evidence for Why I Don’t Believe in Climate Change“.

Dave Middleton debunks the claim that 50-year-old climate models correctly predicted the susequent (but not steady) rise in the globe’s temperature (whatever that is). He then quotes a talk by Dr. John Christy of the University of Alabama-Huntsville Climate Research Center:

We have a change in temperature from the deep atmosphere over 37.5 years, we know how much forcing there was upon the atmosphere, so we can relate these two with this little ratio, and multiply it by the ratio of the 2x CO2 forcing. So the transient climate response is to say, what will the temperature be like if you double CO2– if you increase at 1% per year, which is roughly what the whole greenhouse effect is, and which is achieved in about 70 years. Our result is that the transient climate response in the troposphere is 1.1 °C. Not a very alarming number at all for a doubling of CO2. When we performed the same calculation using the climate models, the number was 2.31°C. Clearly, and significantly different. The models’ response to the forcing – their ∆t here, was over 2 times greater than what has happened in the real world….

There is one model that’s not too bad, it’s the Russian model. You don’t go to the White House today and say, “the Russian model works best”. You don’t say that at all! But the fact is they have a very low sensitivity to their climate model. When you look at the Russian model integrated out to 2100, you don’t see anything to get worried about. When you look at 120 years out from 1980, we already have 1/3 of the period done – if you’re looking out to 2100. These models are already falsified [emphasis added], you can’t trust them out to 2100, no way in the world would a legitimate scientist do that. If an engineer built an aeroplane and said it could fly 600 miles and the thing ran out of fuel at 200 and crashed, he might say: “I was only off by a factor of three”. No, we don’t do that in engineering and real science! A factor of three is huge in the energy balance system. Yet that’s what we see in the climate models….

Theoretical climate modelling is deficient for describing past variations. Climate models fail for past variations, where we already know the answer. They’ve failed hypothesis tests and that means they’re highly questionable for giving us accurate information about how the relatively tiny forcing … will affect the climate of the future.

For a lot more in this vein, see my pages “Climate Change” and “Modeling and Science“.


Transgenderism, Once More

Theodore Dalrymple (Anthony Daniels, M.D.) is on the case:

The problem alluded to in [a paper in the Journal of Medical Ethics] is, of course, the consequence of a fiction, namely that a man who claims to have changed sex actually has changed sex, and is now what used to be called the opposite sex. But when a man who claims to have become a woman competes in women’s athletic competitions, he often retains an advantage derived from the sex of his birth. Women competitors complain that this is unfair, and it is difficult not to agree with them….

Man being both a problem-creating and solving creature, there is, of course, a very simple way to resolve this situation: namely that men who change to simulacra of women should compete, if they must, with others who have done the same. The demand that they should suffer no consequences that they neither like nor want from the choices they have made is an unreasonable one, as unreasonable as it would be for me to demand that people should listen to me playing the piano though I have no musical ability. Thomas Sowell has drawn attention to the intellectual absurdity and deleterious practical consequences of the modern search for what he calls “cosmic justice.”…

We increasingly think that we live in an existential supermarket in which we pick from the shelf of limitless possibilities whatever we want to be. We forget that limitation is not incompatible with infinity; for example, that our language has a grammar that excludes certain forms of words, without in any way limiting the infinite number of meanings that we can express. Indeed, such limitation is a precondition of our freedom, for otherwise nothing that we said would be comprehensible to anybody else.

That is a tour de force typical of the good doctor. In the span of three paragraphs, he addresses matters that I have treated at length in “The Transgender Fad and Its Consequences” (and later in the previous edition of this series), “Positive Rights and Cosmic Justice“, and “Writing: A Guide” (among other entries at this blog).


Big, Bad Oligopoly?

Big Tech is giving capitalism a bad name, as I discuss in “Why Is Capitalism Under Attack from the Right?“, but it’s still the best game in town. Even oligopoly and its big brother, monopoly, aren’t necessarily bad. See, for example, my posts, “Putting in Some Good Words for Monopoly” and “Monopoly: Private Is Better than Public“. Arnold Kling makes the essential point here:

Do indicators of consolidation show us that the economy is getting less competitive or more competitive? The answer depends on which explanation(s) you believe to be most important. For example, if network effects or weak resistance to mergers are the main factors, then the winners from consolidation are quasi-monopolists that may be overly insulated from competition. On the other hand, if the winners are firms that have figured out how to develop and deploy software more effectively than their rivals, then the growth of those firms at the expense of rivals just shows us that the force of competition is doing its work.


Why I Am Bunkered in My Half-Acre of Austin

Randal O’Toole takes aim at the planners of Austin, Texas, and hits the bullseye:

Austin is one of the fastest-growing cities in America, and the city of Austin and Austin’s transit agency, Capital Metro, have a plan for dealing with all of the traffic that will be generated by that growth: assume that a third of the people who now drive alone to work will switch to transit, bicycling, walking, or telecommuting by 2039. That’s right up there with planning for dinner by assuming that food will magically appear on the table the same way it does in Hogwarts….

[W]hile Austin planners are assuming they can reduce driving alone from 74 to 50 percent, it is actually moving in the other direction….

Planners also claim that 11 percent of Austin workers carpool to work, an amount they hope to maintain through 2039. They are going to have trouble doing that as carpooling, in fact, only accounted for 8.0 percent of Austin workers in 2018.

Planners hope to increase telecommuting from its current 8 percent (which is accurate) to 14 percent. That could be difficult as they have no policy tools that can influence telecommuting.

Planners also hope to increase walking and bicycling from their current 2 and 1 percent to 4 and 5 percent. Walking to work is almost always greater than cycling to work, so it’s difficult to see how they plan to magic cycling to be greater than walking. This is important because cycling trips are longer than walking trips and so have more of a potential impact on driving.

Finally, planners want to increase transit from 4 to 16 percent. In fact, transit carried just 3.24 percent of workers to their jobs in 2018, down from 3.62 percent in 2016. Changing from 4 to 16 percent is a an almost impossible 300 percent increase; changing from 3.24 to 16 is an even more formidable 394 percent increase. Again, reality is moving in the opposite direction from planners’ goals….

Planners have developed two main approaches to transportation. One is to estimate how people will travel and then provide and maintain the infrastructure to allow them to do so as efficiently and safely as possible. The other is to imagine how you wish people would travel and then provide the infrastructure assuming that to happen. The latter method is likely to lead to misallocation of capital resources, increased congestion, and increased costs to travelers.

Austin’s plan is firmly based on this second approach. The city’s targets of reducing driving alone by a third, maintaining carpooling at an already too-high number, and increasing transit by 394 percent are completely unrealistic. No American city has achieved similar results in the past two decades and none are likely to come close in the next two decades.

Well, that’s the prevailing mentality of Austin’s political leaders and various bureaucracies: magical thinking. Failure is piled upon failure (e.g., more bike lanes crowding out traffic lanes, a hugely wasteful curbside composting plan) because to admit failure would be to admit that the emperor has no clothes.

You want to learn more about Austin? You’ve got it:

Driving and Politics (1)
Life in Austin (1)
Life in Austin (2)
Life in Austin (3)
Driving and Politics (2)
AGW in Austin?
Democracy in Austin
AGW in Austin? (II)
The Hypocrisy of “Local Control”
Amazon and Austin


“Government Worker” Is (Usually) an Oxymoron

In “Good News from the Federal Government” I sarcastically endorse the move to grant all federal workers 12 weeks of paid parental leave:

The good news is that there will be a lot fewer civilian federal workers on the job, which means that the federal bureaucracy will grind a bit more slowly when it does the things that it does to screw up the economy.

The next day, Audacious Epigone put some rhetorical and statistical meat on the bones of my informed prejudice in “Join the Crooks and Liars: Get a Government Job!“:

That [the title of the post] used to be a frequent refrain on Radio Derb. Though the gag has been made emeritus, the advice is even better today than it was when the Derb introduced it. As he explains:

The percentage breakdown is private-sector 76 percent, government 16 percent, self-employed 8 percent.

So one in six of us works for a government, federal, state, or local.

Which group does best on salary? Go on: see if you can guess. It’s government workers, of course. Median earnings 52½ thousand. That’s six percent higher than the self-employed and fourteen percent higher than the poor shlubs toiling away in the private sector.

If you break down government workers into two further categories, state and local workers in category one, federal workers in category two, which does better?

Again, which did you think? Federal workers are way out ahead, median earnings 66 thousand. Even state and local government workers are ahead of us private-sector and self-employed losers, though.

Moral of the story: Get a government job! — federal for strong preference.

….

Though it is well known that a government gig is a gravy train, opinions of the people with said gigs is embarrassingly low as the results from several additional survey questions show.

First, how frequently the government can be trusted “to do what’s right”? [“Just about always” and “most of the time” badly trail “some of the time”.]

….

Why can’t the government be trusted to do what’s right? Because the people who populate it are crooks and liars. Asked whether “hardly any”, “not many” or “quite a few” people in the federal government are crooked, the following percentages answered with “quite a few” (“not sure” responses, constituting 12% of the total, are excluded). [Responses of “quite a few” range from 59 percent to 77 percent across an array of demographic categories.]

….

Accompanying a strong sense of corruption is the perception of widespread incompetence. Presented with a binary choice between “the people running the government are smart” and “quite a few of them don’t seem to know what they are doing”, a solid majority chose the latter (“not sure”, at 21% of all responses, is again excluded). [The “don’t know what they’re doing” responses ranged from 55 percent to 78 percent across the same demographic categories.]

Are the skeptics right? Well, most citizens have had dealings with government employees of one kind and another. The “wisdom of crowds” certainly applies in this case.

“Hurricane Hysteria” and “Climate Hysteria”, Updated

In view of the persistent claims about the role of “climate change” as the cause of tropical cyclone activity (i.e, tropical storms and hurricanes) I have updated “Hurricane Hysteria“. The bottom line remains the same: Global measures of accumulated cyclone energy (ACE) do not support the view that there is a correlation between “climate change” and tropical cyclone activity.

I have also updated “Climate Hysteria“, which borrows from “Hurricane Hysteria” but also examines climate patterns in Austin, Texas, where our local weather nazi peddles his “climate change” balderdash.

Climate Hysteria

UPDATED 01/23/20

Recent weather events have served to reinforce climate hysteria. There are the (usual) wildfires in California, which have nothing to do with “climate change” (e.g., this, this, and this), but you wouldn’t know it if you watch the evening news (which I don’t but impressionable millions do).

Closer to home, viewers have been treated to more of the same old propaganda from our local weather nazi, who proclaims it “nice” when daytime high temperatures are in the 60s and 70s, and who bemoans higher temperatures. (Why does he stay in Austin, then?) We watch him because when he isn’t proselytizing “climate change” he delivers the most detailed weather report available on Austin’s TV stations.

He was in “climate change” heaven when in September and part of October (2019) Austin endured a heat wave that saw many new high temperatures for the relevant dates. To top it off, tropical storm Imelda suddenly formed in mid-September near the gulf coast of Texas and inundated Houston. According to him, both events were due to “climate change”. Or were they just weather? My money’s on the latter.

Let’s take Imelda, which the weather nazi proclaimed to be an example of the kind of “extreme” weather event that will occur more often as “climate change” takes us in the direction of catastrophe. Those “extreme” weather events, when viewed globally (which is the only correct way to view them) aren’t occurring more often. This is from “Hurricane Hysteria“, which I have just updated to include statistics compiled as of today (11/19/19):

[T]he data sets for tropical cyclone activity that are maintained by the Tropical Meteorology Project at Colorado State University cover all six of the relevant ocean basins as far back as 1972. The coverage goes back to 1961 (and beyond) for all but the North Indian Ocean basin — which is by far the least active.

Here is NOAA’s reconstruction of ACE in the North Atlantic basin through November 19, 2019, which, if anything, probably understates ACE before the early 1960s:

The recent spikes in ACE are not unprecedented. And there are many prominent spikes that predate the late-20th-century temperature rise on which “warmism” is predicated. The trend from the late 1800s to the present is essentially flat. And, again, the numbers before the early 1960s must understate ACE.

Moreover, the metric of real interest is global cyclone activity; the North Atlantic basin is just a sideshow. Consider this graph of the annual values for each basin from 1972 through November 19, 2019:

Here’s a graph of stacked (cumulative) totals for the same period:

The red line is the sum of ACE for all six basins, including the Northwest Pacific basin; the yellow line in the sum of ACE for the next five basins, including the Northeast Pacific basin; etc.

I have these observations about the numbers represented in the preceding graphs:

  • If one is a believer in CAGW (the G stands for global), it is a lie (by glaring omission) to focus on random, land-falling hurricanes hitting the U.S. or other parts of the Western Hemisphere.
  • The overall level of activity is practically flat between 1972 and 2019, with the exception of spikes that coincide with strong El Niño events.
  • There is nothing in the long-term record for the North Atlantic basin, which is probably understated before the early 1960s, to suggest that global activity in recent decades is unusually high.

Imelda was an outlier — an unusual event that shouldn’t be treated as a typical one. Imelda happened along in the middle of a heat wave and accompanying dry spell in central Texas. This random juxtaposition caused the weather nazi to drool in anticipation of climate catastrophe.

There are some problems with the weather nazi’s reaction to the heat wave. First, the global circulation models (GCMs) that forecast ever-rising temperatures have been falsified. (See the discussion of GCMs here.) Second, the heat wave and the dry spell should be viewed in perspective. Here, for example are annualized temperature and rainfall averages for Austin, going back to the decade in which “global warming” began to register on the consciousnesses of climate hysterics:

 

What do you see? I see a recent decline in Austin’s average temperature from the El Nino effect of 2015-2016. I also see a decline in rainfall that doesn’t come close to being as severe the a dozen or so declines that have occurred since 1970.

In fact, abnormal heat is to be expected when there is little rain and a lot of sunshine. Temperature data, standing by themselves, are of little use because of the pronounced urban-heat-island (UHI) effect (discussed here). Drawing on daily weather reports for Austin for the past five years, I find that Austin’s daily high temperature is significantly affected by rainfall, wind speed, wind direction, and cloud cover. For example (everything else being the same):

  • An additional inch of rainfall induces an temperature drop of 1.4 degrees F.
  • A wind of 10 miles an hour from the north induces a temperature drop of about 5.8 degrees F relative to a 10-mph wind from the south.
  • Going from 100-percent sunshine to 100-percent cloud cover induces a temperature drop of 0.5 degrees F. (The combined effect of an inch of rain and complete loss of sunshine is therefore 1.9 degrees F, even before other factors come into play.)

The combined effects of variations in rainfall, wind speed, wind direction, and cloud cover are far more than enough to account for the molehill temperature anomalies that “climate change” hysterics magnify into mountains of doom.

Further, there is no systematic bias in the estimates, as shown by the following plot of regression residuals:

 

Summer is the most predictable of the seasons; winter, the least predicable. Over- and under-estimates seem to be evenly distributed across the seasons. In other words, the regression doesn’t mask changes in seasonal temperature patterns. Note, however, that this fall (which includes both the hot spell and cold snap discussed above) has been dominated by below-normal temperatures, not above-normal ones.

Anyway, during the spell of hot, dry weather in the first half of the meteorological fall of 2019, the maximum temperature went as high as 16 degrees F above the 30-year average for relevant date. Two days later, the maximum temperature was 12 degrees F below the 30-year average for the relevant date. Those extremes tell us a lot about the variability of weather in central Texas and nothing about “climate change”.

However, the 16-degree deviation above the 30-year average was far from the greatest during the period under analysis; above-normal deviations have ranged as high as 26 degrees F above 30-year averages. By contrast, during the subsequent cold snap, deviations reached their lowest levels for the period under analysis. The down-side deviations (latter half of meteorological fall, 2019) are obvious in the preceding graph. The pattern suggests that, if anything, fall 2019 in Austin was abnormally cold rather than abnormally hot.

Winter 2019-2020 has started on out the warm side, by not abnormally so. Further, the warming can be attributed in part to weak El Nino conditions.

The Pretence of Knowledge

Updated, with links to a related article and additional posts, and republished.

Friedrich Hayek, in his Nobel Prize lecture of 1974, “The Pretence of Knowledge,” observes that

the great and rapid advance of the physical sciences took place in fields where it proved that explanation and prediction could be based on laws which accounted for the observed phenomena as functions of comparatively few variables.

Hayek’s particular target was the scientism then (and still) rampant in economics. In particular, there was (and is) a quasi-religious belief in the power of central planning (e.g., regulation, “stimulus” spending, control of the money supply) to attain outcomes superior to those that free markets would yield.

But, as Hayek says in closing,

There is danger in the exuberant feeling of ever growing power which the advance of the physical sciences has engendered and which tempts man to try, “dizzy with success” … to subject not only our natural but also our human environment to the control of a human will. The recognition of the insuperable limits to his knowledge ought indeed to teach the student of society a lesson of humility which should guard him against becoming an accomplice in men’s fatal striving to control society – a striving which makes him not only a tyrant over his fellows, but which may well make him the destroyer of a civilization which no brain has designed but which has grown from the free efforts of millions of individuals.

I was reminded of Hayek’s observations by John Cochrane’s post, “Groundhog Day” (The Grumpy Economist, May 11, 2014), wherein Cochrane presents this graph:

The fed's forecasting models are broken

Cochrane adds:

Every serious forecast looked like this — Fed, yes, but also CBO, private forecasters, and the term structure of forward rates. Everyone has expected bounce-back growth and rise in interest rates to start next year, for the last 6 years. And every year it has not happened. Welcome to the slump. Every year, Sonny and Cher wake us up, and it’s still cold, and it’s still grey. But we keep expecting spring tomorrow.

Whether the corrosive effects of government microeconomic and regulatory policy, or a failure of those (unprintable adjectives) Republicans to just vote enough wasted-spending Keynesian stimulus, or a failure of the Fed to buy another $3 trillion of bonds, the question of the day really should be why we have this slump — which, let us be honest, no serious forecaster expected.

(I add the “serious forecaster” qualification on purpose. I don’t want to hear randomly mined quotes from bloviating prognosticators who got lucky once, and don’t offer a methodology or a track record for their forecasts.)

The Fed’s forecasting models are nothing more than sophisticated charlatanism — a term that Hayek applied to pseudo-scientific endeavors like macroeconomic modeling. Nor is charlatanism confined to economics and the other social “sciences.” It’s rampant in climate “science,” as Roy Spencer has shown. Consider, for example, this graph from Spencers’s post, “95% of Climate Models Agree: The Observations Must Be Wrong” (Roy Spencer, Ph.D., February 7, 2014):

95% of climate models agree_the observations must be wrong

Spencer has a lot more to say about the pseudo-scientific aspects of climate “science.” This example is from “Top Ten Good Skeptical Arguments” (May 1, 2014):

1) No Recent Warming. If global warming science is so “settled”, why did global warming stop over 15 years ago (in most temperature datasets), contrary to all “consensus” predictions?

2) Natural or Manmade? If we don’t know how much of the warming in the longer term (say last 50 years) is natural, then how can we know how much is manmade?

3) IPCC Politics and Beliefs. Why does it take a political body (the IPCC) to tell us what scientists “believe”? And when did scientists’ “beliefs” translate into proof? And when was scientific truth determined by a vote…especially when those allowed to vote are from the Global Warming Believers Party?

4) Climate Models Can’t Even Hindcast How did climate modelers, who already knew the answer, still fail to explain the lack of a significant temperature rise over the last 30+ years? In other words, how to you botch a hindcast?

5) …But We Should Believe Model Forecasts? Why should we believe model predictions of the future, when they can’t even explain the past?

6) Modelers Lie About Their “Physics”. Why do modelers insist their models are based upon established physics, but then hide the fact that the strong warming their models produce is actually based upon very uncertain “fudge factor” tuning?

7) Is Warming Even Bad? Who decided that a small amount of warming is necessarily a bad thing?

8) Is CO2 Bad? How did carbon dioxide, necessary for life on Earth and only 4 parts in 10,000 of our atmosphere, get rebranded as some sort of dangerous gas?

9) Do We Look that Stupid? How do scientists expect to be taken seriously when their “theory” is supported by both floods AND droughts? Too much snow AND too little snow?

10) Selective Pseudo-Explanations. How can scientists claim that the Medieval Warm Period (which lasted hundreds of years), was just a regional fluke…yet claim the single-summer (2003) heat wave in Europe had global significance?

11) (Spinal Tap bonus) Just How Warm is it, Really? Why is it that every subsequent modification/adjustment to the global thermometer data leads to even more warming? What are the chances of that? Either a warmer-still present, or cooling down the past, both of which produce a greater warming trend over time. And none of the adjustments take out a gradual urban heat island (UHI) warming around thermometer sites, which likely exists at virtually all of them — because no one yet knows a good way to do that.

It is no coincidence that leftists believe in the efficacy of central planning and cling tenaciously to a belief in catastrophic anthropogenic global warming. The latter justifies the former, of course. And both beliefs exemplify the left’s penchant for magical thinking, about which I’ve written several times (e.g., here, here, here, here, and here).

Magical thinking is the pretense of knowledge in the nth degree. It conjures “knowledge” from ignorance and hope. And no one better exemplifies magical thinking than our hopey-changey president.


Related reading: Walter E. Williams, “The Experts Have Been Wrong About a Lot of Things, Here’s a Sample“, The Daily Signal, July 25, 2018

Related posts:
Modeling Is Not Science
The Left and Its Delusions
Economics: A Survey
AGW: The Death Knell
The Keynesian Multiplier: Phony Math
Modern Liberalism as Wishful Thinking
“The Science Is Settled”
Is Science Self-Correcting?
“Feelings, Nothing More than Feelings”
“Science” vs. Science: The Case of Evolution, Race, and Intelligence
Modeling Revisited
Bayesian Irrationality
The Fragility of Knowledge
Global-Warming Hype
Pattern-Seeking
Babe Ruth and the Hot-Hand Hypothesis
Hurricane Hysteria
Deduction, Induction, and Knowledge
Much Ado about the Unknown and Unknowable
A (Long) Footnote about Science
The Balderdash Chronicles
The Probability That Something Will Happen
Analytical and Scientific Arrogance

Hot Is Better Than Cold: A Small Case Study

I’ve been trying to find wandering classmates as the 60th anniversary of our graduation from high school looms. Not all are enthusiastic about returning to our home town in Michigan for a reunion next August. Nor am I, truth be told.

A sunny, August day in Michigan is barely warm enough for me. I’m far from alone in holding that view, as anyone with a casual knowledge of inter-State migration knows.

Take my graduating class, for example. Of the 79 living graduates whose whereabouts are known, 45 are still in Michigan; 24 are in warmer States (Arizona, California, Florida, Georgia, Kentucky, Louisiana, Mississippi, Tennessee, and Texas — moi); and 10 (inexplicably) have opted for other States at about the same latitude. In sum: 30 percent have opted for warmer climes; only 13 percent have chosen to leave a cold State for another cold State.

It would be a good thing if the world were warming a tad, as it might be.

Hurricane Hysteria

UPDATED 09/15/17, 09/16/17, 09/12/18, 10/10/18, 10/22/19, 11/01/19, and 11/19/19. (Items are added occasionally to the list of related readings at the bottom of the post.)

Yes, hurricanes are bad things when they kill and injure people, destroy property, and saturate the soil with seawater. But hurricanes are in the category of “stuff happens”.

Contrary to the true believers in catastrophic anthropogenic global warming (CAGW), hurricanes are not the fault of human beings. Hurricanes are not nature’s “retribution” for mankind’s “sinful” ways, such as the use of fossil fuels.

How do I know? Because there are people who actually look at the numbers. See, for example, “Hate on Display: Climate Activists Go Bonkers Over #Irma and Nonexistent Climate Connection” by Anthony Watts  (Watts Up With That?, September 11, 2017). See also Michel de Rougement’s “Correlation of Accumulated Cyclone Energy and Atlantic Multidecadal Oscillations” (Watts Up With That?, September 4, 2017).

M. de Rougemont’s post addresses accumulated cyclone energy (ACE):

The total energy accumulated each year by tropical storms and hurricanes (ACE) is also showing such a cyclic pattern.

NOAA’s Hurricane Research Division explanations on ACE: “the ACE is calculated by squaring the maximum sustained surface wind in the system every six hours (knots) and summing it up for the season. It is expressed in 104 kt2.” Direct instrumental observations are available as monthly series since 1848. A historic reconstruction since 1851 was done by NOAA (yearly means).

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Figure 2 Yearly accumulated cyclone energy (ACE) ACE_7y: centered running average over 7 years

A correlation between ACE and AMO [Atlantic Multidecadal Oscillation] is confirmed by regression analysis.

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Figure 3 Correlation ACE=f(AMO), using the running averages over 7 years. AMO: yearly means of the Atlantic Multidecadal Oscillations ACE_7y: yearly observed accumulated cyclone energy ACE_calc: calculated ACE by using the indicated formula.

Regression formula:

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Thus, a simple, linear relation ties ACE to AMO, in part directly, and in part with an 18 years delay. The correlation coefficient is astonishingly good.

Anthony Watts adds fuel to this fire (or ice to this cocktail) in “Report: Ocean Cycles, Not Humans, May Be Behind Most Observed Climate Change” (Watts Up With That?, September 15, 2017). There, he discusses a report by Anastosios Tsonis, which I have added to the list of related readings, below:

… Anastasios Tsonis, emeritus distinguished professor of atmospheric sciences at the University of Wisconsin-Milwaukee, describes new and cutting-edge research into natural climatic cycles, including the well known El Nino cycle and the less familiar North Atlantic Oscillation and Pacific Decadal Oscillation.

He shows how interactions between these ocean cycles have been shown to drive changes in the global climate on timescales of several decades.

Professor Tsonis says:

We can show that at the start of the 20th century, the North Atlantic Oscillation pushed the global climate into a warming phase, and in 1940 it pushed it back into cooling mode. The famous “pause” in global warming at the start of the 21st century seems to have been instigated by the North Atlantic Oscillation too.

In fact, most of the changes in the global climate over the period of the instrumental record seem to have their origins in the North Atlantic.

Tsonis’ insights have profound implications for the way we view calls for climate alarm.

It may be that another shift in the North Atlantic could bring about another phase shift in the global climate, leading to renewed cooling or warming for several decades to come.

These climatic cycles are entirely natural, and can tell us nothing about the effect of carbon dioxide emissions. But they should inspire caution over the slowing trajectory of global warming we have seen in recent decades.

As Tsonis puts it:

While humans may play a role in climate change, other natural forces may play important roles too.

There are other reasons to be skeptical of CAGW, and even of AGW. For one thing, temperature records are notoriously unreliable, especially records from land-based thermometers. (See, for example, these two posts at Watt’s Up With That?: “Press Release – Watts at #AGU15 The Quality of Temperature Station Siting Matters for Temperature Trends” by Anthony Watts on December 17, 2015, and “Ooops! Australian BoM Climate Readings May Be invalid Due To Lack of Calibration“, on September 11, 2017.) And when those records aren’t skewed by siting and lack-of-coverage problems, they’re skewed by fudging the numbers to “prove” CAGW. (See my post, “Global-Warming Hype“, August 22, 2017.) Moreover, the models that “prove” CAGW and AGW are terrible, to put it bluntly. (Again, see “Global-Warming Hype“, and also Dr. Tim Ball’s post of September 16, 2017, “Climate Models Can’t Even Approximate Reality Because Atmospheric Structure and Movements are Virtually Unknown” at Watts Up With That?)

It’s certainly doubtful that NOAA’s reconstruction of ACE is accurate and consistent as far back as 1851. I hesitate to give credence to a data series that predates the confluence of satellite observations, ocean-buoys, and specially equipped aircraft. The history of weather satellites casts doubt on the validity of aggregate estimates for any period preceding the early 1960s.

As it happens, the data sets for tropical cyclone activity that are maintained by the Tropical Meteorology Project at Colorado State University cover all six of the relevant ocean basins as far back as 1972. The coverage goes back to 1961 (and beyond) for all but the North Indian Ocean basin — which is by far the least active.

Here is NOAA’s reconstruction of ACE in the North Atlantic basin through November 19, 2019, which, if anything, probably understates ACE before the early 1960s:

The recent spikes in ACE are not unprecedented. And there are many prominent spikes that predate the late-20th-century temperature rise on which “warmism” is predicated. The trend from the late 1800s to the present is essentially flat. And, again, the numbers before the early 1960s must understate ACE.

Moreover, the metric of real interest is global cyclone activity; the North Atlantic basin is just a sideshow. Consider this graph of the annual values for each basin from 1972 through November 19, 2019:

Here’s a graph of stacked (cumulative) totals for the same period:

The red line is the sum of ACE for all six basins, including the Northwest Pacific basin; the yellow line in the sum of ACE for the next five basins, including the Northeast Pacific basin; etc.

I have these observations about the numbers represented in the preceding graphs:

  • If one is a believer in CAGW (the G stands for global), it is a lie (by glaring omission) to focus on random, land-falling hurricanes hitting the U.S. or other parts of the Western Hemisphere.
  • The overall level of activity is practically flat between 1972 and 2019, with the exception of spikes that coincide with strong El Niño events.
  • There is nothing in the long-term record for the North Atlantic basin, which is probably understated before the early 1960s, to suggest that global activity in recent decades is unusually high.

I am very sorry for the victims of Michael, Florence, Harvey, Irma, and every weather-related disaster — and every disaster, whether man-made or not. But I am not about to reduce my carbon footprint because of the Luddite hysterics who dominate and cling to the quasi-science of climatology.


Related reading:

Ron Clutz, “Temperatures According to Climate Models“, Science Matters, March 24, 2015

Dr. Tim Ball, “Long-Term Climate Change: What Is a Reasonable Sample Size?“, Watts Up With That?, February 7, 2016

The Global Warming Policy Foundation, Climate Science: Assumptions, Policy Implications, and the Scientific Method, 2017

John Mauer, “Through the Looking Glass with NASA GISS“, Watts Up With That?, February 22, 2017

George White, “A Consensus of Convenience“, Watts Up With That?, August 20, 2017

Jennifer Marohasy, “Most of the Recent Warming Could be Natural“, Jennifer Marohasy, August 21, 2017

Anthony Watts, “What You Need to Know and Are Not Told about Hurricanes“, Watts Up With That?, September 15, 2017

Anastasios Tsonis, The Little Boy: El Niño and Natural Climate Change, Global Warming Policy Foundation, GWPF Report 26, 2017

Anthony Watts, “Pielke Jr. – U.S. Tornado Damage Continues to Fall, 2018 Activity Near Record Lows“, Watts Up With That?, July 25, 2018

Roger Pielke, “No, Hurricanes Are Not Bigger, Stronger and More Dangerous“, Forbes, November 15, 2019

Related page: Climate Change

AGW in Austin? (II)

I said this in “AGW in Austin?“:

There’s a rise in temperatures [in Austin] between the 1850s and the early 1890s, consistent with the gradual warming that followed the Little Ice Age. The gap between the early 1890s and mid-19naughts seems to have been marked by lower temperatures. It’s possible to find several mini-trends between the mid-19naughts and 1977, but the most obvious “trend” is a flat line for the entire period….

Following the sudden jump between 1977 and 1980, the “trend” remains almost flat through 1997, albeit at a slightly higher level….

The sharpest upward trend really began after the very strong (and naturally warming) El Niño of 1997-1998….

Oh, wait! It turns out that Austin’s sort-of hot-spell from 1998 to the present coincides with the “pause” in global warming….

The rapid increase in Austin’s population since 2000 probably has caused an acceleration of the urban heat-island (UHI) effect. This is known to inflate city temperatures above those in the surrounding countryside by several degrees.

What about drought? In Austin, the drought of recent years is far less severe than the drought of the 1950s, but temperatures have risen more in recent years than they did in the 1950s….

Why? Because Austin’s population is now six times greater than it was in the 1950s. The UHI effect has magnified the drought effect.

Conclusion: Austin’s recent hot weather has nothing to do with AGW.

Now, I’ll quantify the relationship between temperature, precipitation, and population. Here are a few notes about the analysis:

  • I have annual population estimates for Austin from 1960 to the present. However, to tilt the scale in favor of AGW, I used values for 1968-2015, because the average temperature in 1968 was the lowest recorded since 1924.
  • I reduced the official population figures for 1998-2015 to reflect a major annexation in 1998 that significantly increased Austin’s population. The statistical effect of that adjustment is to reduce the apparent effect of population on temperature — thus further tilting the scale in favor of AGW.
  • The official National Weather Service station moved from Mueller Airport (near I-35) to Camp Mabry (near Texas Loop 1) in 1999. I ran the regression for 1968-2015 with a dummy variable for location, but that variable is statistically insignificant.

Here’s the regression equation for 1968-2015:

T = -0.049R + 5.57E-06P + 67.8

Where,

T = average annual temperature (degrees Fahrenheit)

R = annual precipitation (inches)

P = mid-year population (adjusted, as discussed above)

The r-squared of the equation is 0.538, which is considerably better than the r-squared for a simple time trend (see the first graph below). Also, the standard error is 1.01 degrees; F = 2.96E-08; and the p-values on the variables and intercept are highly significant at 0.00313, 2.19E-08, and 7.34E-55, respectively.

Here’s a graph of actual vs. predicted temperatures:

Actual vs predicted average annual temperatures in Austin

The residuals are randomly distributed with respect to time and the estimated values of T, so there’s no question (in my mind) about having omitted a significant variable:

Average annual temperatures_residuals vs. year

Average annual temperaturs_residuals vs. estimates of T

Austin’s average annual temperature rose by 3.6 degrees F between 1968 and 2015, that is, from 66.2 degrees to 69.8 degrees. According to the regression equation, the rise in Austin’s population from 234,000 in 1968 to 853,000 (adjusted) in 2015 accounts for essentially all of the increase — 3.5 degrees of it, to be precise. That’s well within the range of urban heat-island effects for big cities, and it’s obvious that Austin became a big city between 1968 and 2015. It also agrees with the estimated effect of Austin’s population increase, as derived from the equation for North American cities in T.R. Oke’s “City Size and the Urban Heat Island.” The equation (simplified for ease of reproduction) is

T’ = 2.96 log P – 6.41

Where,

T’ = change in temperature, degrees C

P = population, holding area constant

The author reports r-squared = 0.92 and SE = 0.7 degrees C (1.26 degrees F).

The estimated UHI effect of Austin’s population growth from 1968 to 2015 is 2.99 degrees F. Given the standard error of the estimate, the estimate of 2.99 degrees isn’t significantly different from my estimate of 3.5 degrees or from the actual increase of 3.6 degrees.

I therefore dismiss the possibility that population is a proxy for the effects of CO2 emissions, which — if they significantly affect temperature (a big “if”) — do so because of their prevalence in the atmosphere, not because of their concentration in particular areas. And Austin’s hottest years occurred during the “pause” in global warming after 1998. There was no “pause” in Austin because its population continued to grow rapidly; thus:

12-month average temperatures in Austin_1903-2016

Bottom line: Austin’s temperature can be accounted for by precipitation and population. AGW will have to find another place in which to work its evil magic.

*     *     *

Related reading:
U.S. climate page at WUWT
Articles about UHI at WUWT
David Evans, “There Is No Evidence,” Science Speak, June 16, 2009
Roy W. Spencer, “Global Urban Heat Island Effect Study – An Update,” WUWT, March 10, 2010
David M.W. Evans, “The Skeptic’s Case,” Science Speak, August 16, 2012
Anthony Watts, “UHI – Worse Than We Thought?,” WUWT, August 20, 2014
Christopher Monckton of Brenchley, “The Great Pause Lengthens Again,” WUWT, January 3, 2015
Anthony Watts, “Two New Papers Suggest Solar Activity Is a ‘Climate Pacemaker‘,” WUWT, January 9, 2015
John Hinderaker, “Was 2014 Really the Warmest Year Ever?,” PowerLine, January 16, 2015
Roy W. Spencer, John R. Christy, and William D. Braswell, “Version 6.0 of the UAH Temperature Dataset Released: New LT Trend = +0.11 C/decade,” DrRoySpencer.com, April 28, 2015
Bob Tisdale, “New UAH Lower Troposphere Temperature Data Show No Global Warming for More Than 18 Years,” WUWT, April 29, 2015
Patrick J. Michaels and Charles C. Knappenberger, “You Ought to Have a Look: Science Round Up—Less Warming, Little Ice Melt, Lack of Imagination,” Cato at Liberty, May 1, 2015
Mike Brakey, “151 Degrees Of Fudging…Energy Physicist Unveils NOAA’s “Massive Rewrite” Of Maine Climate History,” NoTricksZone, May 2, 2015 (see also David Archibald, “A Prediction Coming True?,” WUWT, May 4, 2015)
Christopher Monckton of Brenchley, “El Niño Has Not Yet Paused the Pause,” WUWT, May 4, 2015
Anthony J. Sadar and JoAnn Truchan, “Saul Alinsky, Climate Scientist,” American Thinker, May 4, 2015
Clyde Spencer, “Anthropogenic Global Warming and Its Causes,” WUWT, May 5, 2015
Roy W. Spencer, “Nearly 3,500 Days since Major Hurricane Strike … Despite Record CO2,” DrRoySpencer.com, May 8, 2015

Related posts:
AGW: The Death Knell (with many links to related readings and earlier posts)
Not-So-Random Thoughts (XIV) (second item)
AGW in Austin?
Understanding Probability: Pascal’s Wager and Catastrophic Global Warming
The Precautionary Principle and Pascal’s Wager

The Precautionary Principle and Pascal’s Wager

Reduced to its essence, the precautionary principle (PP) is this: Avert calamity regardless of the cost of doing so.

The thinking person, as opposed the the extreme environmentalist or global-warming zealot, will immediately and carefully pose these questions about the PP: What, specifically, is the calamity to be averted? How might it be averted? With what degree of certainty? What are the opportunity and monetary costs of the options?

Take death, for example. Most persons who are in good health (and even many who are in declining health) consider death to be a calamity. So, too, do their loved ones (usually). How, then, might death be averted, with what degree of certainty, and at what cost?

Death can be averted only temporarily. That is, death often can sometimes be postponed, but never defeated. So the question is how can it be postponed, and at what cost. Let’s take an extreme case of a man dying of a virulent cancer (confirmed by extensive tests and procedures) for which there is no known treatment, other than palliative care. What good will it do that man (or his heirs) to spend his fortune in search of cure for his disease? He will almost certainly die before a possible cure is identified and can be supplied to him. But in funding the search for a cure he would have followed the PP by doing his utmost to avoid the calamity of death, without regard for the calamity thereby visited upon upon his heirs.

In sum, the PP shouldn’t be followed in cases where:

  • there is nothing that human beings can do to avert the calamity, or
  • the cost of ameliorating the calamity is itself calamitous.

Extreme environmentalists and global-warming zealots are guilty of sub-optimizing. They focus on particular calamities, not on the big picture of human flourishing. Take global warming. It has been said many times that warming has many advantages, such as a longer growing season and a lower death rate (cold is a bigger killer than heat). It has also been shown that warming hasn’t been occurring as fast as projected. The over-estimation of warming is probably due to (a) overstatement of the effects of CO2 emissions on temperatures and (b) inadequate modeling that omits key factors. But the zealots remain undeterred by such considerations.

The only thing that’s saving humanity from total impoverishment at the hands of global-warming zealots is the ridiculously high cost of (probably futile) efforts to combat global warming. Shutting down coal mines is bad enough, though tolerable given the advances that have been made in the extraction of natural gas and oil. But there is little taste (except among well-fed elites) for shutting down factories, forcing everyone to drive battery-powered cars, shifting to high-cost and unreliable sources of energy (solar, wind, and hydro), forcing people to live in densely populated cities, and so on. And if all of those things were to happen, what difference would it make? Almost none.

Moreover, there is nothing unusual about the rising temperatures of recent decades, neither in rapidity nor level. As Bob Tisdale observes, during three global warming periods — 1916-1946, 1964-1993, and 1986-2015 —

there were similar observed changes in global surface temperatures. It’s tough to claim that the recent global warming is unprecedented when surface temperatures rose at a comparable rate over a 30-year timespan that ended about 70 years ago.

Second, climate models are not simulating climate as it existed in the past or present.  The model mean of the climate models produced for the IPCC’s 5th Assessment Report simulates observed warming trends for one of the three periods shown in this post. Specifically, during the three global warming periods discussed in this post, climate models simulated three very different rates of warming (+0.050 deg C/decade for 1916-1946, +0.155 deg C/decade for 1964-1993, and +0.255 deg C/decade for 1986-2015), yet the data from GISS indicated the warming trends were very similar at +0.16 deg C/decade and +0.166 deg C/decade. If climate models can’t simulate global surface temperatures in the past or present, why should anyone have any confidence in their prognostications of future surface temperatures?

Third, the models’ failure to simulate the rate of the observed early 20th Century warming from 1916-1945 indicates that there are naturally occurring processes that can cause global surfaces to warm over multi-decadal periods above and beyond the computer-simulated warming from the forcings used to drive the climate models [emphasis added].  That of course raises the question, how much of the recent warming is also natural?

Fourth, for the most-recent 30-year period (1986-2015), climate models are overestimating the warming by a noticeable amount. This, along with their failure to simulate warming from 1916-1945, suggests climate models are too sensitive to greenhouse gases and that their projections of future global warming are too high.

Fifth, logically, the fact that the models seem to simulate the correct global-warming rate for one of the three periods discussed [1964-1993] does not mean the climate models are performing properly during the one “good” period.

Despite such reasonableness, global-warming-zealot proponents of the PP are not to be deflected. For theirs is a religion, which seems to take Pascal’s wager seriously. Here’s Robert Tracinski on the subject:

Do you freaking love science? Then you might be a big enough sucker to fall for a claim like this one: “Across the span of their lives, the average American is more than five times likelier to die during a human-extinction event than in a car crash.” Which was actually made by an environmentalist group called the Global Challenges Foundation and reported with a straight face in The Atlantic….

There is something that sounded familiar to me about this argument, and I realized that it borrows the basic form of Pascal’s Wager, an old and spectacularly unconvincing argument for belief in God. (Go here if you want to give the idea more thought than it probably deserves.) Blaise Pascal’s argument was that even if the existence of God is only a very small probability, the consequences are so spectacularly huge — eternal life if you follow the rules, eternal punishment if you don’t — that it makes even a very small probability seem overwhelmingly important. In effect, Pascal realized that you can make anything look big if you multiply it by infinity. Similarly, this new environmentalist argument assumes that you can make anything look big if you multiply it by extinction….

If Pascal’s probabilistic argument works for Christianity, then it also works for Islam, or for secular versions like Roko’s Basilisk. (And yes, an “all-seeing artificial intelligence” is included in this report as a catastrophic possibility, which gives you an idea of how seriously you should take it.) Or it works for global warming, which is exactly how it’s being used here.

Pascal was a great mathematician, but this was an awful abuse of the nascent science of probabilities. (I suspect it’s no great shakes from a religious perspective, either.) First of all, a “probability” is not just anything that you sort of think might happen. Imagination and speculation are not probability. In any mathematical or scientific sense of the word, a probability is something for which you have a real basis to measure its likelihood. Saying you are “95 percent certain” about a scientific theory, as global warming alarmists are apt to do, might make for an eye-catching turn of phrase in press headlines. But it is not an actual number that measures something.

Indeed.

Tracinski later hits a verbal home run with this:

This kind of Pascal’s-Wager-for-global-warming is part of a larger environmentalist program: a perverse attempt to take our sense of the actual risks and benefits for human life and turn it upside down.

If we’re concerned about the actual dangers to human life, we don’t have to assume a bunch of bizarre probabilities. The big dangers are known quantities: poverty, squalor, disease, famine, dictatorship, war. And the solutions are also known quantities: technology, industrialization, economic growth, freedom.

Global-warming zealots are usually leftists, and leftists claim to be upholders of science. Yet they cling to two anti-scientific dogmas: the precautionary principle and Pascal’s Wager. As Tracinski says, “global warming has become a religion with a veneer of science.”

Understanding Probability: Pascal’s Wager and Catastrophic Global Warming

I love it when someone issues a well-constructed argument that supports my position on an issue. (It happens often, of course.) The latest case in point is a post by Robert Tracinski, “Pascal’s Wager for the Global Warming Religion” (The Federalist, May 3, 2016). Tracinski address this claim by some global-warming zealots:

Across the span of their lives, the average American is more than five times likelier to die during a human-extinction event than in a car crash.

There’s a lot more wrong with that statement than the egregious use of plural (“their lives”) and singular (“is”) constructions with respect to “the average American” (singular). Here’s what’s really wrong, in Tracinski’s words:

There is something that sounded familiar to me about this argument, and I realized that it borrows the basic form of Pascal’s Wager, an old and spectacularly unconvincing argument for belief in God. (Go here if you want to give the idea more thought than it probably deserves.) Blaise Pascal’s argument was that even if the existence of God is only a very small probability, the consequences are so spectacularly huge — eternal life if you follow the rules, eternal punishment if you don’t — that it makes even a very small probability seem overwhelmingly important. In effect, Pascal realized that you can make anything look big if you multiply it by infinity. Similarly, this new environmentalist argument assumes that you can make anything look big if you multiply it by extinction….

If Pascal’s probabilistic argument works for Christianity, then it also works for Islam, or for secular versions like Roko’s Basilisk. (And yes, an “all-seeing artificial intelligence” is included in this report as a catastrophic possibility, which gives you an idea of how seriously you should take it.) Or it works for global warming, which is exactly how it’s being used here.

Pascal was a great mathematician, but this was an awful abuse of the nascent science of probabilities. (I suspect it’s no great shakes from a religious perspective, either.) First of all, a “probability” is not just anything that you sort of think might happen. Imagination and speculation are not probability. In any mathematical or scientific sense of the word, a probability is something for which you have a real basis to measure its likelihood. Saying you are “95 percent certain” about a scientific theory, as global warming alarmists are apt to do, might make for an eye-catching turn of phrase in press headlines. But it is not an actual number that measures something.

Indeed.

Tracinski later hits a verbal home run with this:

This kind of Pascal’s-Wager-for-global-warming is part of a larger environmentalist program: a perverse attempt to take our sense of the actual risks and benefits for human life and turn it upside down.

If we’re concerned about the actual dangers to human life, we don’t have to assume a bunch of bizarre probabilities. The big dangers are known quantities: poverty, squalor, disease, famine, dictatorship, war. And the solutions are also known quantities: technology, industrialization, economic growth, freedom.

Repeat after me:

A probability is a statement about a very large number of like events, each of which has an unpredictable (random) outcome. Probability, properly understood, says nothing about the outcome of an individual event. It certainly says nothing about what will happen next.

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Related posts:

Pascal’s Wager, Morality, and the State

Some Thoughts about Probability

My War on the Misuse of Probability

AGW in Austin?

“Climate change” is religion refracted through the lens of paganism.

Melanie Phillips

There is a hypothesis that the purported rise in global temperatures since 1850 (or some shorter span if you’re embarrassed by periods of notable decline after 1850) was or is due mainly or solely to human activity, as manifested in emissions of CO2. Adherents of this hypothesis call the supposed phenomenon by various names: anthropogenic global warming (AGW), just plain global warming, climate change, and climate catastrophe, for example.

Those adherents loudly advocate measures that (they assert) would reduce CO2 emissions by enough to avoid climatic catastrophe. They have been advocating such measures for about 25 years, yet climate catastrophe remains elusive. (See “pause,” below.) But the true believers in AGW remain steadfast in their faith.

Actually, belief in catastrophic AGW requires three leaps of faith. The first leap is to assume the truth of the alternative hypothesis — a strong and persistent connection between CO2 emissions and global temperatures — without having found (or even looked for) scientific evidence which disproves the null hypothesis, namely, that there isn’t a strong and persistent connection between CO2 emissions and global temperatures. The search for such evidence shouldn’t be confined to the near-past, but should extend centuries, millennia, and eons into the past. The problem for advocates of AGW is that a diligent search of that kind works against the alternative hypothesis and supports the null hypothesis. As a result, the advocates of AGW confine their analysis to the recent past and substitute kludgy computer models, full of fudge-factors, for a disinterested examination of the actual causes of climate change. There is strong evidence that such causes include solar activity and its influence on cloud formation through cosmic radiation. That truth is too inconvenient for the AGW mob, as are many other truths about climate.

The second leap of faith is to assume that rising temperatures, whatever the cause, are a bad thing. This, despite the known advantages of warmer climates: longer growing seasons and lower death rates, to name but two. This is so because believers in AGW and policies that would (according to them) mitigate it, like to depict worst-case scenarios about the extent of global warming and its negative effects.

The third leap of faith is related to the first two. It is the belief that policies meant to mitigate global warming — policies that mainly involve the curtailment of CO2 emissions — would be (a) effective and (b) worth the cost. There is more than ample doubt about both propositions, which seem to flow from the kind of anti-scientific mind that eagerly embraces the alternative hypothesis without first having disproved the null hypothesis. It is notable that “worth the cost” is a value judgment which springs readily from the tongues and keyboards of affluent Westerners like __________ who already have it made. (Insert “Al Gore”, “high-end Democrats,” “liberal pundits and politicians,” etc.)

Prominent among the leapers-of-faith in my neck of the woods is the “chief weathercaster” of an Austin TV station. We watch his weather forecasts because he spews out more information than his competitors, but I must resist the urge to throw a brick through my TV screen when his mask slips and he reveals himself as a true believer in AGW. What else should I expect from a weather nazi who proclaims it “nice” when daytime high temperatures are in the 60s and 70s, and who bemoans higher temperatures?

Like any nazi, he projects his preferences onto others — in this case his viewership. This undoubtedly includes a goodly number of persons (like me) who moved to Austin and stay in Austin for the sake of sunny days when the thermometer is in the 80-to-95-degree range. It is a bit much when temperatures are consistently in the high 90s and low 100s, as they are for much of Austin’s summer. But that’s the price of those sunny days in the 80s and low 90s, unless you can afford to live in San Diego or Hawaii instead of Austin.

Anyway, the weather nazi would make a great deal out of the following graph:

12-month average temperatures in Austin_1977-2015

The graph covers the period from April 1977 through April 2015. The jagged line represents 12-month averages of monthly averages for the official National Weather Service stations in Austin: Mueller Airport (until July 1999) and Camp Mabry (July 1999 to the present). (There’s a history of Austin’s weather stations in a NOAA document, “Austin Climate Summary.”) The upward trend is unmistakeable. Equally unmistakeable is the difference between the early and late years of the period — a difference that’s highlighted by the y-error bars, which represent a span of plus-and-minus one standard deviation from the mean for the period.

Your first question should be “Why begin with April 1977?” Well, it’s a “good” starting point — if you want to sell AGW — because the 12-month average temperature as of April 1977 was the lowest in 64 years. After all, it was the seemingly steep increase in temperatures after 1970 that sparked the AGW business.

What about the “fact” that temperatures have been rising since about 1850? The “fact” is that temperatures have been recorded in a relatively small number of locales continuously since the 1850s, though the reliability of the temperature data and their relationship to any kind of “global” average is in serious doubt. The most reliable data come from weather satellites, and those have been in operation only since the late 1970s.

A recent post by Bob Tisdale, “New UAH Lower Troposphere Temperature Data Show No Global Warming for More Than 18 Years” (Watts Up With That?, April 29, 2015), summarizes the history of satellite readings, in the course of documenting the “pause” in global warming. The “pause,” if dated from 2001, has lasted 14 years; if dated from 1997, it has lasted 18 years. In either event, the “pause” has lasted about as long as the rise in late-20th century temperatures that led to the AGW hypothesis.

What about those observations since the 1850s? Riddled with holes, that’s what. And even if they were reliable and covered a good part of the globe (which they aren’t and don’t), they wouldn’t tell the story that AGW enthusiasts are trying to sell. Take Austin, for example, which has a (broken) temperature record dating back to 1856:

12-month average temperatures in Austin_1856-2015

Looks just like the first graph? No, it doesn’t. The trend line and error bars suggest a trend that isn’t there. Strip away the trend line and the error bars, and you see this:

12-month average temperatures in Austin_1856-2015_2

Which is what? There’s a rise in temperatures between the 1850s and the early 1890s, consistent with the gradual warming that followed the Little Ice Age. The gap between the early 1890s and mid-19naughts seems to have been marked by lower temperatures. It’s possible to find several mini-trends between the mid-19naughts and 1977, but the most obvious “trend” is a flat line for the entire period:

12-month average temperatures in Austin_1903-1977

Following the sudden jump between 1977 and 1980, the “trend” remains almost flat through 1997, albeit at a slightly higher level:

12-month average temperatures in Austin_1980-1997

The sharpest upward trend really began after the very strong (and naturally warming) El Niño of 1997-1998:

12-month average temperatures in Austin_1997-2015

Oh, wait! It turns out that Austin’s sort-of hot-spell from 1998 to the present coincides with the “pause” in global warming:

The pause_from WUWT_20150429
Source: Bob Tisdale, “New UAH Lower Troposphere Temperature Data Show No Global Warming for More Than 18 Years,” Watts Up With That?, April 29, 2015.

What a revolting development this would be for our local weather nazi, if he could be bothered to acknowledge it. And if he did, he’d have to look beyond the egregious AGW hypothesis for an explanation of the warmer temperatures that he abhors. Where should he look? Here: the rapid increase in Austin’s population, combined with a drought.

The rapid increase in Austin’s population since 2000 probably has caused an acceleration of the urban heat-island (UHI) effect. This is known to inflate city temperatures above those in the surrounding countryside by several degrees.

What about drought? In Austin, the drought of recent years is far less severe than the drought of the 1950s, but temperatures have risen more in recent years than they did in the 1950s:

Indices of 5-year average precipitation and temperature

Why? Because Austin’s population is now six times greater than it was in the 1950s. The UHI effect has magnified the drought effect.

Conclusion: Austin’s recent hot weather has nothing to do with AGW. But don’t try to tell that to a weather nazi — or to the officials of the City of Austin, who lurch zombie-like onward in their pursuit of “solutions” to a non-problem.

BE SURE TO READ THE SEQUEL, IN WHICH I QUANTIFY THE EFFECTS OF PRECIPITATION AND POPULATION, LEAVING NOTHING ON THE TABLE FOR AGW.

*     *     *

Related reading:
U.S. climate page at WUWT
Articles about UHI at WUWT
Roy W. Spencer, “Global Urban Heat Island Effect Study – An Update,” WUWT, March 10, 2010
Anthony Watts, “UHI – Worse Than We Thought?,” WUWT, August 20, 2014
Christopher Monckton of Brenchley, “The Great Pause Lengthens Again,” WUWT, January 3, 2015
Anthony Watts, “Two New Papers Suggest Solar Activity Is a ‘Climate Pacemaker‘,” WUWT, January 9, 2015
John Hinderaker, “Was 2014 Really the Warmest Year Ever?,” PowerLine, January 16, 2015
Roy W. Spencer, John R. Christy, and William D. Braswell, “Version 6.0 of the UAH Temperature Dataset Released: New LT Trend = +0.11 C/decade,” DrRoySpencer.com, April 28, 2015
Bob Tisdale, “New UAH Lower Troposphere Temperature Data Show No Global Warming for More Than 18 Years,” WUWT, April 29, 2015
Patrick J. Michaels and Charles C. Knappenberger, “You Ought to Have a Look: Science Round Up—Less Warming, Little Ice Melt, Lack of Imagination,” Cato at Liberty, May 1, 2015
Mike Brakey, “151 Degrees Of Fudging…Energy Physicist Unveils NOAA’s “Massive Rewrite” Of Maine Climate History,” NoTricksZone, May 2, 2015 (see also David Archibald, “A Prediction Coming True?,” WUWT, May 4, 2015)
Christopher Monckton of Brenchley, “El Niño Has Not Yet Paused the Pause,” WUWT, May 4, 2015
Anthony J. Sadar and JoAnn Truchan, “Saul Alinsky, Climate Scientist,” American Thinker, May 4, 2015
Clyde Spencer, “Anthropogenic Global Warming and Its Causes,” WUWT, May 5, 2015
Roy W. Spencer, “Nearly 3,500 Days since Major Hurricane Strike … Despite Record CO2,” DrRoySpencer.com, May 8, 2015

Related posts:
AGW: The Death Knell (with many links to related readings and earlier posts)
Not-So-Random Thoughts (XIV) (second item)

Signature

“Settled Science” and the Monty Hall Problem

The so-called 97-percent consensus among climate scientists about anthropogenic global warming (AGW) isn’t evidence of anything but the fact that scientists are only human. Even if there were such a consensus, it certainly wouldn’t prove the inchoate theory of AGW, any more than the early consensus against Einstein’s special theory of relativity disproved that theory.

Actually, in the case of AGW, the so-called consensus is far from a consensus about the extent of warming, its causes, and its implications. (See, for example, this post and this one.) But it’s undeniable that a lot of climate scientists believe in a “strong” version of AGW, and in its supposedly dire consequences for humanity.

Why is that? Well, in a field as inchoate as climate science, it’s easy to let one’s prejudices drive one’s research agenda and findings, even if only subconsciously. And isn’t it more comfortable and financially rewarding to be with the crowd and where the money is than to stand athwart the conventional wisdom? (Lennart Bengtsson certainly found that to be the case.) Moreover, there was, in the temperature records of the late 20th century, a circumstantial case for AGW, which led to the development of theories and models that purport to describe a strong relationship between temperature and CO2. That the theories and models are deeply flawed and lacking in predictive value seems not to matter to the 97 percent (or whatever the number is).

In other words, a lot of climate scientists have abandoned the scientific method, which demands skepticism, in order to be on the “winning” side of the AGW issue. How did it come to be thought of as the “winning” side? Credit vocal so-called scientists who were and are (at least) guilty of making up models to fit their preconceptions, and ignoring evidence that human-generated CO2 is a minor determinant of atmospheric temperature. Credit influential non-scientists (e.g., Al Gore) and various branches of the federal government that have spread the gospel of AGW and bestowed grants on those who can furnish evidence of it. Above all, credit the media, which for the past two decades has pumped out volumes of biased, half-baked stories about AGW, in the service of the “liberal” agenda: greater control of the lives and livelihoods of Americans.

Does this mean that the scientists who are on the AGW bandwagon don’t believe in the correctness of AGW theory? I’m sure that most of them do believe in it — to some degree. They believe it at least to the same extent as a religious convert who zealously proclaims his new religion to prove (mainly to himself) his deep commitment to that religion.

What does all of this have to do with the Monty Hall problem? This:

Making progress in the sciences requires that we reach agreement about answers to questions, and then move on. Endless debate (think of global warming) is fruitless debate. In the Monty Hall case, this social process has actually worked quite well. A consensus has indeed been reached; the mathematical community at large has made up its mind and considers the matter settled. But consensus is not the same as unanimity, and dissenters should not be stifled. The fact is, when it comes to matters like Monty Hall, I’m not sufficiently skeptical. I know what answer I’m supposed to get, and I allow that to bias my thinking. It should be welcome news that a few others are willing to think for themselves and challenge the received doctrine. Even though they’re wrong. (Brian Hayes, “Monty Hall Redux” (a book review), American Scientist, September-October 2008)

The admirable part of Hayes’s statement is its candor: Hayes admits that he may have adopted the “consensus” answer because he wants to go with the crowd.

The dismaying part of Hayes’s statement is his smug admonition to accept “consensus” and move on. As it turns out the “consensus” about the Monty Hall problem isn’t what it’s cracked up to be. A lot of very bright people have solved a tricky probability puzzle, but not the Monty Hall problem. (For the details, see my post, “The Compleat Monty Hall Problem.”)

And the “consensus” about AGW is very far from being the last word, despite the claims of true believers. (See, for example, the relatively short list of recent articles, posts, and presentations given at the end of this post.)

Going with the crowd isn’t the way to do science. It’s certainly not the way to ascertain the contribution of human-generated CO2 to atmospheric warming, or to determine whether the effects of any such warming are dire or beneficial. And it’s most certainly not the way to decide whether AGW theory implies the adoption of policies that would stifle economic growth and hamper the economic betterment of millions of Americans and billions of other human beings — most of whom would love to live as well as the poorest of Americans.

Given the dismal track record of global climate models, with their evident overstatement of the effects of CO2 on temperatures, there should be a lot of doubt as to the causes of rising temperatures in the last quarter of the 20th century, and as to the implications for government action. And even if it could be shown conclusively that human activity will temperatures to resume the rising trend of the late 1900s, several important questions remain:

  • To what extent would the temperature rise be harmful and to what extent would it be beneficial?
  • To what extent would mitigation of the harmful effects negate the beneficial effects?
  • What would be the costs of mitigation, and who would bear those costs, both directly and indirectly (e.g., the effects of slower economic growth on the poorer citizens of thw world)?
  • If warming does resume gradually, as before, why should government dictate precipitous actions — and perhaps technologically dubious and economically damaging actions — instead of letting households and businesses adapt over time by taking advantage of new technologies that are unavailable today?

Those are not issues to be decided by scientists, politicians, and media outlets that have jumped on the AGW bandwagon because it represents a “consensus.” Those are issues to be decided by free, self-reliant, responsible persons acting cooperatively for their mutual benefit through the mechanism of free markets.

*     *     *

Recent Related Reading:
Roy Spencer, “95% of Climate Models Agree: The Observations Must Be Wrong,” Roy Spencer, Ph.D., February 7, 2014
Roy Spencer, “Top Ten Good Skeptical Arguments,” Roy Spencer, Ph.D., May 1, 2014
Ross McKittrick, “The ‘Pause’ in Global Warming: Climate Policy Implications,” presentation to the Friends of Science, May 13, 2014 (video here)
Patrick Brennan, “Abuse from Climate Scientists Forces One of Their Own to Resign from Skeptic Group after Week: ‘Reminds Me of McCarthy’,” National Review Online, May 14, 2014
Anthony Watts, “In Climate Science, the More Things Change, the More They Stay the Same,” Watts Up With That?, May 17, 2014
Christopher Monckton of Brenchley, “Pseudoscientists’ Eight Climate Claims Debunked,” Watts Up With That?, May 17, 2014
John Hinderaker, “Why Global Warming Alarmism Isn’t Science,” PowerLine, May 17, 2014
Tom Sheahan, “The Specialized Meaning of Words in the “Antarctic Ice Shelf Collapse’ and Other Climate Alarm Stories,” Watts Up With That?, May 21, 2014
Anthony Watts, “Unsettled Science: New Study Challenges the Consensus on CO2 Regulation — Modeled CO2 Projections Exaggerated,” Watts Up With That?, May 22, 2014
Daniel B. Botkin, “Written Testimony to the House Subcommittee on Science, Space, and Technology,” May 29, 2014

Related posts:
The Limits of Science
The Thing about Science
Debunking “Scientific Objectivity”
Modeling Is Not Science
The Left and Its Delusions
Demystifying Science
AGW: The Death Knell
Modern Liberalism as Wishful Thinking
The Limits of Science (II)
The Pretence of Knowledge
“The Science Is Settled”