Category Archives: Climate science

Hyperbolic Scenarios, Crude Climate Models, and Scientism

07 Sunday Nov 2021

Posted by in Climate science, Global Warming

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What we hear regarding the dangers of climate change is based on predictions of future atmospheric carbon concentrations and corresponding predictions of global temperatures. Those predictions are not “data” in the normal, positive sense. They do not represent “the way things are” or “the way things have been”, though one might hope the initial model conditions align with reality. Nor can the predictions be relied upon as “the way things will be”. Climate scientists normally report a range of outcomes produced by models, yet we usually hear only one type of consequence for humanity: catastrophe!

Models Are Not Reality

The kinds of climate models quoted by activists and by the UN’s Intergovernmental Panel on Climate Change (IPCC) have been around for decades. Known as “carbon forcing” models, they are highly simplified representations of the process determining global temperatures. The primary forecast inputs are atmospheric carbon concentrations over time, which again are themselves predictions.

It’s usually asserted that climate model outputs should guide policy, but we must ask: how much confidence can we have in the predictions to allow government to take coercive actions having immediate, negative impacts on human well being? What evidence can be marshaled to show prospective outcomes under proposed policies? And how well do these models fit the actual, historical data? That is, how well do model predictions track our historical experience, given the historical paths of inputs like carbon concentrations?

Faulty Inputs

The IPCC has been defining and updating sets of carbon scenarios since 1990. The scenarios outline the future paths of greenhouse gas emissions (and carbon forcings). They were originally based on economic and demographic modeling before an apparent “decision by committee” to maintain consistency with scenarios issued in the past. Roger Pielke Jr. and Justin Ritchie describe the evolution of this decision process, and they call for change:

“Our research (and that of several colleagues) indicates that the scenarios of greenhouse gas (GHG) emissions through the end of the twenty-first century are grounded in outdated portrayals of the recent past. Because climate models depend on these scenarios to project the future behavior of the climate, the outdated scenarios provide a misleading basis both for developing a scientific evidence base and for informing climate policy discussions. The continuing misuse of scenarios in climate research has become pervasive and consequential—so much so that we view it as one of the most significant failures of scientific integrity in the twenty-first century thus far. We need a course correction.”

One would certainly expect the predicted growth of atmospheric carbon to evolve over time. However, as Pielke and Ritchie note, the IPCC’s baseline carbon scenario today, known as RCP8.5 (“Representative Concentration Pathway”), is remarkably similar to the “business as usual” (BAU) scenario it first issued in 1990:

“The emissions scenarios the climate community is now using as baselines for climate models depend on portrayals of the present that are no longer true. And once the scenarios lost touch with reality, so did the climate, impact, and economic models that depend on them for their projections of the future. Yet these projections are a central part of the scientific basis upon which climate policymakers are now developing, debating, and adopting policies.”

The authors go on to discuss a few characteristics of the BAU scenario that today seem implausible, including:

“… RCP8.5 foresees carbon dioxide emissions growing rapidly to at least the year 2300 when Earth reaches more than 2,000 ppm of atmospheric carbon dioxide concentrations. But again, according to the IEA and other groups, fossil energy emissions have likely plateaued, and it is plausible to achieve net-zero emissions before the end of the century, if not much sooner.”

Pielke and Ritchie demonstrate that the IPCC’s baseline range of carbon emissions by 2045 is centered well above (actually double) the mid-range of scenarios developed by the International Energy Agency (IEA), and there is very little overlap between the two. However, global carbon emissions have been flat over the past decade. Even if we extrapolate the growth in atmospheric CO2 parts per million over the past 20 years, it would rise to less than 600 ppm by 2100, not 1,200 ppm. It’s true that a few countries (China comes to mind) continue to exploit less “carbon efficient” energy resources like coal, but the growth trend in concentrations is likely to continue to taper over time.

It therefore appears that the IPCC’s climate scenarios, which are used broadly as model inputs by the climate research community, are suspect. As one might suspect: garbage in, garbage out. But what about the climate models themselves?

Faulty Models

The model temperature predictions have been grossly in error. They have been and continue to be “too hot”. The chart at the top of this post is typical of the comparisons of model projections and actual temperatures. Before the year 2000, most of the temperature paths projected by the particular model charted above ran higher than actual temperatures. However, the trends subsequently diverged and the gap has become more extreme over the past two decades.

The problem is not merely one of faulty inputs. The models themselves are deeply flawed, as they fail to account adequately for natural forces that strongly influence our climate. It’s been clear for many years that the sun’s radiative energy has a massive impact on temperatures, and it is affected not only by the intensity of the solar cycle but also by cloud cover on Earth. Unfortunately, carbon forcing models do not agree on the role that increased clouds might have in amplifying warming. However, a reduction in cloud cover over the past 20 years, and a corresponding increase in radiative heat, can account for every bit of the warming experienced over that time.

This finding not only offers an alternative explanation for two decades of modest warming, it also strikes at the very heart of the presumed feedback mechanism usually assumed to amplify carbon-induced warming. The overall effect is summarized by the so-called carbon sensitivity, measured as the response of global temperature to a doubling of carbon concentration. The IPCC puts that sensitivity in a range of 1.5C to 4.5C. However, findings published by Nic Lewis and Judith Curry are close to the low end of that range, as are those found by Frank Bosse reported here. The uncertainties surrounding the role of cloud cover and carbon sensitivities reveal that the outputs relied upon by climate alarmists are extreme model simulations, not the kind of reliable intelligence upon which drastic policy measures should be taken.

The constant anxiety issued from the Left on the issue of climate change, and not a little haranguing of the rest of us, is misplaced. The IPCC’s scenarios for the future paths of carbon concentration are outdated and seriously exaggerated, and they represent a breach of scientific protocol. Yet the scenarios are widely used as the basis of policy discussions at both the domestic and international levels. The climate models themselves embed questionable assumptions that create a bias toward calamitous outcomes.

Yet Drastic Action Is Urged

The UN’s 2021 climate conference, or COP26 (“Conference of the Parties …”) is taking place in Glasgow, Scotland this month. Like earlier international climate conferences, the hope is that dire forecasts will prompt broad agreement on goals and commitments, and that signatory countries will translate these into policy at the national level.

Things got off to a bad start when, before COP26 even began, the G20 nations failed to agree on a goal of “net-zero” carbon emissions by 2050. Another bad portent for the conference is that China and India, both big carbon emitters, will not attend, which must be tremendously disappointing to attendees. After all, COP26 has been billed by Prince Charles himself as “the last chance saloon, literally”, for saving the world from catastrophe. He said roughly the same thing before the Paris conference in 2014. And Joe Brandon … er, Biden, blurted some hyperbole of his own:

“Climate change is already ravaging the world. … It’s destroying people’s lives and livelihoods and doing it every single day. … It’s costing our nations trillions of dollars.”

All this is unadulterated hogwash. But it is the stuff upon which a crisis-hungry media feeds. This hucksterism is but one form of climate rent-seeking. Other forms are much more troubling: scary scenarios and model predictions serve the self-interest of regulators, grant-seeking researchers, interventionist politicians, and green investors who suckle at the public teat. It is a nightmare of scientism fed by the arrogance of self-interested social planners. The renewable energy technologies promoted by these investors, politicians, and planners are costly and land-intensive, providing only intermittent output (requiring backup fossil fuel capacity), and they have nasty environmental consequences of their own.

The precautionary principle is no excuse for the extreme policies advocated by alarmists. We already have economically viable “carbon efficient” and even zero-carbon energy alternatives, such as natural gas, modular nuclear power, and expanded opportunities for exploiting geothermal energy. This argues against premature deployment of wasteful renewables. The real crisis is the threat posed by the imposition of draconian green policies to our long-term prosperity, and especially to the world’s poor.

Green Climate Policy Wreaks Poverty

03 Friday Sep 2021

Posted by in Climate science, Environmental Fascism

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Have no doubt: climate change warriors are at battle with humanity itself, ostensibly on behalf of the natural world. They would have us believe that their efforts to eliminate the use of fossil fuels are necessary to keep our planet from becoming a blazing hothouse. However, the global temperature changes we’ve witnessed over the past 150 years, based on the latest Assessment Report (AR6) from the Intergovernmental Panel on Climate Change (IPCC), are well within the range of historical variation.

“Remodeled” History

Jennifer Marohasy posted an informative discussion of the IPCC’s conclusions last month, putting them into a broader climatological context and focusing in particular on measurement issues. In short, discussing “global” temperatures with any exactitude is something of a sham. Moreover, the local temperature series upon which the global calculations are based have been “remodeled.” They are not direct observations. I don’t think it’s too crude to say they’ve been manipulated because the changed records are almost always in one direction: to “cool” the past.

Judith Curry is succinct in her criticism of the approach to climate change adopted by alarmist policymakers and many climate researchers: 

“In a nutshell, we’ve vastly oversimplified both the problem and its solutions. The complexity, uncertainty, and ambiguity of the existing knowledge about climate change is being kept away from the policy and public debate. The solutions that have been proposed are technologically and politically infeasible on a global scale.”

We need a little more honesty!

The Real Victims

I want to focus here on some of the likely casualties of the war on fossil fuels. Those are, without a doubt, the world’s poor, who are being consigned by climate activists to a future of abject suffering. Joel Kotkin and Hügo Krüger are spot-on in their recent piece on the inhumane implications of anti-carbon ideology.

Energy-poor areas of the world are now denied avenues through which to enhance their peoples’ well being. Attempts to fund fossil-fuel power projects are regularly stymied by western governments and financial institutions in the interests of staving off political backlash from greens. Meanwhile, far more prosperous nations power their economies with traditional carbon-based energy sources. Most conspicuously, China continues to fuel its rapid growth with coal and other fossil fuels, getting little pushback from climate activists. If you’re wondering how the composition of energy output has evolved, this time-lapse chart is a pretty good guide.

One of the most incredible aspects of this situation is how nuclear energy has been spurned, despite its status as a proven and safe solution to carbon-free power. This excellent thread by Michael Schellenberger covers the object lesson in bad public policy offered by the proposed closing of the Diablo Canyon nuclear plant in California.

In both the U.S. and other parts of the world, as Kotkin and Krüger note, it is not just the high up-front costs that lead to the rejection of these nuclear projects. The green lobby and renewable energy interests are now so powerful that nuclear energy is hardly considered. Much the same is true of low-carbon natural gas: 

“Sadly, the combination of virtue-signaling companies and directives shaped by green activists in rich countries – often based on wildly exaggerated projections, notes former Barack Obama advisor Steve Koonin – make such a gradual, technically feasible transition all but impossible. Instead, it is becoming increasingly unlikely that developing countries will be able to tap even their own gas.”

Energy is the lifeblood of every economy. Inadequate power creates obstacles to almost any form of production and renders some kinds of production impossible. And ironically, the environmental consequences of “energy poverty” are dire. Many under-developed economies are largely dependent on deforestation for energy. Without a reliable power grid and cheap energy, consumers must burn open fires in their homes for heat and cooking, a practice responsible for 50% of child pneumonia deaths worldwide, according to Kotkin and Krüger.

Green Environmental Degradation

Typically, under-developed countries are reliant on the extraction of natural resources demanded by the developed world:

“The shift to renewables in the West, for example, has increased focus on developing countries as prime sources for critical metals – copper, lithium, and rare-earth minerals, in particular – that could lead to the devastation of much of the remaining natural and agricultural landscape. … Lithium has led to the depletion of water resources in Latin America and the further entrenchment of child labor in the Democratic Republic of the Congoas the search for cobalt continues.”

Unfortunately, the damage is not solely due to dependence on resource extraction:

“The western greens, albeit unintentionally, are essentially turning the Third World into the place they send their dirty work. Already, notes environmental author Mike Shellenberger, Africans are stuck with loads of discarded, highly toxic solar panels that expose both the legions of rag-pickers and the land itself to environmental degradation – all in the name of environmentalism.”

Battering the Poor In the West

Again, wealthy countries are in far better shape to handle the sacrifices required by the climate calamitists, but it still won’t be easy. In fact, lower economic strata will suffer far more than technocrats, managers, and political elites. The environmental left leans on the insidious lever of energy costs in order to reduce demand, but making energy more costly takes a far larger bite out of the budgets of the poor. In another recent piece, “Jim Crow Returns to California,” Kotkin discusses the disparate impact these energy policies have on minorities. 

“This surge in prices derives from the state’s obsession — shared by the ruling tech oligarchs — with renewable energy and the elimination of fossil fuels. Yet as a recent Massachusetts Institute of Technology (MIT) report has shown, over-reliance on renewables is costly, because it requires the production of massive (and environmentally unfriendly) battery-storage capacity — the price of which is invariably passed on to the taxpayer.

This is not bad news for the tech oligarchs, who have been prominent among those profiting from ‘clean energy’ investments. But many other Californians, primarily those in the less temperate interior, find themselves falling into energy poverty or are dependent on state subsidies that raise electricity prices for businesses and the middle class. Black and Latino households are already forced to pay from 20 to 43% more of their household incomes on energy than white households. Last year, more than 4 million households in California (30% of the total) experienced energy poverty.”

Kotkin touches on other consequences of these misguided policies to minority and non-minority working people. In addition to jobs lost in the energy sector, a wide variety of wage earners will suffer as their employers attempt to deal with escalating energy costs. The immediate effects are bad enough, but in the long-run the greens’ plans would scale back the economy’s productive machinery in order to eliminate carbon emissions — net zero means real incomes will decline! 

Energy costs have a broad impact on consumer’s budgets. Almost every product imaginable is dependent on energy, and consumer prices will reflect the higher costs. In addition, the “green” effort to curtail development everywhere except in high-density transit corridors inflates the cost of housing, inflicting more damage on workers’ standards of living.

Tighten Your Belts

These problems won’t be confined to California if environmental leftists get their version of justice. Be prepared for economic stagnation for the world’s poor and a sharply reduced standard of living in the developed world, but quite unnecessarily. We’ll all pay in the long run, but the poor will pay much more in relative terms.

The Futility and Falsehoods of Climate Heroics

01 Tuesday Jun 2021

Posted by in Climate science, Environmental Fascism, Global Warming, Uncategorized

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The world’s gone far astray in attempts to battle climate change through forced reductions in carbon emissions. Last Wednesday, in an outrageously stupid ruling,a Dutch court ordered Royal Dutch Shell to reduce its emissions by 45% by 2030 relative to 2019 levels. It has nothing to do with Shell’s historical record on the environment. Rather, the Court said Shell’s existing climate action plans did not meet “the company’s own responsibility for achieving a CO2 reduction.” The decision will be appealed, but it appears that “industry agreements” under the Netherlands’ Climate Act of 2019 are in dispute.

Later that same day, a shareholder dissident group supporting corporate action on climate change won at least two ExxonMobil board seats. And then we have the story of John Kerry’s effort to stop major banks from lending to the fossil fuel industry. Together with the Biden Administration’s other actions on energy policy, we are witnessing the greatest attack on conventional power sources in history, and we’ll all pay dearly for it. 

The Central Planner’s Conceit

Technological advance is a great thing, and we’ve seen it in the development of safe nuclear power generation, but the environmental left has successfully placed roadblocks in the way of its deployment. Instead, they favor the mandated adoption of what amount to beta versions of technologies that might never be economic and create extreme environmental hazards of their own (see here, here, here, and here). To private adopters, green energy installations are often subsidized by the government, disguising their underlying inefficiencies. These premature beta versions are then embedded in our base of productive capital and often remain even as they are made obsolete by subsequent advances. The “putty-clay” nature of technology decisions should caution us against premature adoptions of this kind. This is just one of the many curses of central planning.

Not only have our leftist planners forced the deployment of inferior technologies: they are actively seeking to bring more viable alternatives to ruination. I mentioned nuclear power and even natural gas offer a path for reducing carbon emissions, yet climate alarmists wage war against it as much as other fossil fuels. We have Kerry’s plot to deny funding for the fossil fuel industry and even activist “woke” investors, attempting to override management expertise and divert internal resources to green energy. It’s not as if renewable energy sources are not already part of these energy firms’ development portfolios. Allocations of capital and staff to these projects are usually dependent upon a company’s professional and technical expertise, market forces, and (less propitiously) incentives decreed by the government. Yet, the activist investors are there to impose their will.

Placing Faith and Fate In Models

All these attempts to remake our energy complex and the economy are based on the presumed external costs associated with carbon emissions. Those costs, and the potential savings achievable through the mitigation efforts of government and private greenies around the globe, have been wildly exaggerated.

The first thing to understand about the climate “science” relied upon by the environmental left is that it is almost exclusively model-dependent. In other words, it is based on mathematical relationships specified by the researchers. Their projections depend on those specs, the selection of parameter values, and the scenarios to which they are subjected. The models are usually calibrated to be roughly consistent with outcomes over some historical time period, but as modelers in almost any field can attest, that is not hard to do. It’s still possible to produce extreme results out-of-sample. The point is that these models are generally not estimated statistically from a lengthy sample of historical data. Even when sound statistical methodologies are employed, the samples are blinkingly short on climatological timescales. That means they are highly sample-specific and likely to propagate large errors out-of-sample. But most of these are what might be called “toy models” specified by the researcher. And what are often billed as “findings” are merely projections based on scenarios that are themselves manufactured by imaginative climate “researchers” cum grant-seeking partisans. In fact, it’s much worse than that because even historical climate data is subject to manipulation, but that’s a topic for another day.

Key Assumptions

What follows are basic components of the climate apocalypse narrative as supported by “the science” of man-made or anthropomorphic global warming (AGW):

(A) The first kind of model output to consider is the increase in atmospheric carbon concentration over time, measured in parts per million (PPM). This is a function of many natural processes, including volcanism and other kinds of outgassing from oceans and decomposing biomass, as well absorption by carbon sinks like vegetation and various geological materials. But the primary focus is human carbon generating activity, which depends on the carbon-intensity of production technology. As Ross McKitrick shows (see chart below), projections from these kinds of models have demonstrated significant upside bias over the years. Whether that is because of slower than expected economic growth, unexpected technological efficiencies, an increase in the service-orientation of economic activity worldwide, or feedback from carbon-induced greening or other processes, most of the models have over-predicted atmospheric carbon PPM. Those errors tend to increase with the passage of time, of course.

(B) Most of the models promoted by climate alarmists are carbon forcing models, meaning that carbon emissions are the primary driver of global temperatures and other phenomena like storm strength and increases in sea level. With increases in carbon concentration predicted by the models in (A) above, the next stage of models predicts that temperatures must rise. But the models tend to run “hot.” This chart shows the mean of several prominent global temperature series contrasted with 1990 projections from the Intergovernmental Panel on Climate Change (IPCC).

The following is even more revealing, as it shows the dispersion of various model runs relative to three different global temperature series:

And here’s another, which is a more “stylized” view, showing ranges of predictions. The gaps show errors of fairly large magnitude relative to the mean trend of actual temperatures of 0.11 degrees Celsius per decade.

(C) Climate sensitivity to “radiative forcing” is a key assumption underlying all of the forecasts of AGW. A simple explanation is that a stronger greenhouse effect, and increases in the atmosphere’s carbon concentration, cause more solar energy to be “trapped” within our “greenhouse,” and less is radiated back into space. Climate sensitivity is usually measured in degrees Celsius relative to a doubling of atmospheric carbon. 

And how large is the climate’s sensitivity to a doubling of carbon PPM? The IPCC says it’s in a range of 1.5C to 4.5C. However, findings published by Nic Lewis and Judith Curry are close to the low end of that range, and are those found by the author of the paper described here. 

In separate efforts, Finnish and Japanese researchers have asserted that the primary cause of recent warming is an increase in low cloud cover, which the Japanese team attributes to increases in the Earth’s bombardment by cosmic rays due to a weakening magnetic field. The Finnish authors note that most of the models used by the climate establishment ignore cloud formation, an omission they believe leads to a massive overstatement (10x) of sensitivity to carbon forcings. Furthermore, they assert that carbon forcings are mainly attributable to ocean discharge as opposed to human activity.

(D) Estimates of the Social Cost of Carbon (SCC) per ton of emissions are used as a rationale for carbon abatement efforts. The SCC was pioneered by economist William Nordhaus in the 1990s, and today there are a number of prominent models that produce distributions of possible SCC values, which tend to have high dispersion and extremely long upper tails. Of course, the highest estimates are driven by the same assumptions about extreme climate sensitivities discussed above. The Biden Administration is using an SCC of $51 per ton. Some recommend the adoption of even higher values for regulatory purposes in order to achieve net-zero emissions at an early date, revealing the manipulative purposes to which the SCC concept is put. This is a raw attempt to usurp economic power, not any sort of exercise in optimization, as this admission from a “climate expert” shows. In the midst of a barrage of false climate propaganda (hurricanes! wildfires!), he tells 60 Minutes that an acceptable limit on warming of 1.5C is just a number they “chose” as a “tipping point.”

As a measurement exercise, more realistic climate sensitivities yield much lower SCCs. McKitrick presents a chart from Lewis-Curry comparing their estimates of the SCC at lower climate sensitivities to an average of earlier estimates used by IPCC:

High levels of the SCC are used as a rationale for high-cost carbon abatement efforts. If the SCC is overstated, however, then costly abatements represent waste. And there is no guarantee that spending an amount on abatements equal to the SCC will eliminate the presumed cost of a ton’s worth of anthropomorphic warming. Again, there are strong reasons to believe that the warming experienced over the past several decades has had multiple causes, and human carbon emissions might have played a relatively minor role. 

Crisis Is King

Some people just aren’t happy unless they have a crisis over which to harangue the rest of us. But try as they might, the vast resources dedicated to carbon reduction are largely wasted. I hesitate to say their effort is quixotic because they want more windmills and are completely lacking in gallantry. As McKitrick notes, it takes many years for abatement to have a meaningful impact on carbon concentrations, and since emissions mix globally, unilateral efforts are practically worthless. Worse yet, the resource costs of abatement and lost economic growth are unacceptable, especially when some of the most promising alternative sources of “clean” energy are dismissed by activists. So we forego economic growth, rush to adopt immature energy alternatives, and make very little progress toward the stated goals of the climate alarmists.

Myth Makers in Lab Coats

02 Friday Apr 2021

Posted by in Climate science, Research Bias, Science

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The prestige of some elements of the science community has taken a beating during the pandemic due to hugely erroneous predictions, contradictory pronouncements, and misplaced confidence in interventions that have proven futile. We know that medical science has suffered from a replication crisis, and other areas of inquiry like climate science have been compromised by politicization. So it seemed timely when a friend sent me this brief exposition of how “scientific myths” are sometimes created, authored by Lee Jussim in Psychology Today. It’s a real indictment of the publication process in scientific journals, and one can well imagine the impact these biases have on journalists, who themselves are prone to exaggeration in their efforts to produce “hot” stories.

The graphic above appears in Jussim’s article, taken from a Cambridge study of reporting and citation biases in research on treatments for depression. But as Jussim asserts, the biases at play here are not “remotely restricted to antidepressant research”.

The first column of dots represent trial results submitted to journals for publication. A green dot signifies a positive result: that the treatment or intervention was associated with significantly improved patient outcomes. The red dots are trials in which the results were either inconclusive or the treatment was associated with detrimental outcomes. The trials were split about equally between positive and non-positive findings, but far fewer of the trials with non-positive findings were published. From the study:

“While all but one of the positive trials (98%) were published, only 25 (48%) of the negative trials were published. Hence, 77 trials were published, of which 25 (32%) were negative.“

The third column shows that even within the set of published trials, certain negative results were NOT reported or secondary outcomes were elevated to primary emphasis:

“Ten negative trials, however, became ‘positive’ in the published literature, by omitting unfavorable outcomes or switching the status of the primary and secondary outcomes.“

The authors went further by classifying whether the published narrative put a “positive spin” on inconclusive or negative results (yellow dots):

“… only four (5%) of 77 published trials unambiguously reported that the treatment was not more effective than placebo in that particular trial.“

Finally, the last column represents citations of the published trials in subsequent research, where the size of the dots corresponds to different levels of citation:

“Compounding the problem, positive trials were cited three times as frequently as negative trials (92 v. 32 citations. … Altogether, these results show that the effects of different biases accumulate to hide non- significant results from view.“

As Jussim concludes, it’s safe to say these biases are not confined to antidepressant research. He also writes of the “canonization effect”, which occurs when certain conclusions become widely accepted by scientists:

“It is not that [the] underlying research is ‘invalid.’ It is that [the] full scope of findings is mixed, but that the mixed nature of those findings does not make it into what gets canonized.“

I would say canonization applies more broadly across areas of research. For example, in climate research, empirics often take a back seat to theoretical models “calibrated” over short historical records. The theoretical models often incorporate “canonized” climate change doctrine which, on climatological timescales, can only be classified as speculative. Of course, the media and public has difficulty distinguishing this practice from real empirics.

All this is compounded by the institutional biases introduced by the grant-making process, the politicization of certain areas of science (another source of publication bias), and mission creep within government bureaucracies. In fact, some of these agencies control the very data upon which much research is based (the National Oceanic and Atmospheric Administration, for example), and there is credible evidence that this information has been systematically distorted over time.

The authors of the Cambridge study discuss efforts to mitigate the biases in published research. Unfortunately, reforms have met with mixed success at best. The anti-depressant research reflects tendencies that are all too human and perhaps financially motivated. Add to that the political motivation underlying the conduct of broad areas of research and the dimensions of the problem seem almost insurmountable without a fundamental revolution of ethics within the scientific community. For now, the biases have made “follow the science” into something of a joke.

Climate Activists Run From Rigor

02 Tuesday Jul 2019

Posted by in Climate science

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Climate activists are seemingly averse to empiricism, and to the scientific method for that matter. Esteemed climatologist John Christy makes that point abundantly clear in a recent speech entitled “Putting Climate Change Claims To the Test“. Christy was one of two lead authors of the third Assessment Report (AR3) of the United Nations Intergovernmental Panel on Climate Change (IPCC), published in 2001, but his research into systematic discrepancies between climate models and actual temperature trends put him in the doghouse with the IPCC. He hasn’t been asked to serve as a lead author since. The transcript linked above is awkward in a few spots where Christy makes informal references to slides, which do, however, accompany and align with the transcript. He covers a lot of ground in this speech, but I’ll cover just a few points. Read the whole thing!

Christy notes that all of the climate models used by the IPCC have substantially over-predicted temperatures for the past thirty years, by an average across models of more than 2.5 times! He measured the errors 17 years ago and again recently, and the magnitude of those errors was almost identical. Yet little progress has been made in correcting the climate models. And why bother? The press simply won’t report the errors, and the IPCC and the activist community are too enraptured by their religious, end-of-days narrative to give it up.

Christy uses a stylized global “energy budget” to illustrate the various sources of climate forcing. He attributes the climate model errors to a failure to adequately account for the escape of energy from the atmosphere into space. He also demonstrates that the magnitude of carbon forcing from human activity represents a tiny contribution to the impact of Earth’s total energy forcings.

Another major point from Christy is that the climate research community has lost its scientific bearings. The very title of his speech refers to testable hypotheses, which is what real science is all about. Christy provides a punchy quote from Richard Feynman on this issue: “Science is a belief in the ignorance of experts.” Today it is routine for climate scientists to report results based on extrapolations from models hinging on mere assumptions they claim to have backtested. Those backtests are often based on flimsy standards and tend to receive little scrutiny, just as long as they are consistent with the so-called “expert consensus”. In other words, those claims amount to a big “what-if” exercise, and the underlying assumptions often lack rigorous testing. Christy goes on:

“Michael Crichton says that in science consensus is irrelevant, what is relevant is reproducible results, consensus is inappropriate. So, as an aside, there’s a strange thing happening in climate science: the proliferation of unfalsifiable claims, in other words the unfalsifiable hypothesis.  Remember I said that scientific method: you make a claim and the claim has to be testable and falsifiable and then you check and see if it’s the real thing.

Well here’s the claim. Whatever happens is consistent with global warming.  Maybe it’s snow or no snow. More hurricanes? Less hurricanes? This method says wait for something to happen and then claim that human-caused warming is to blame. That’s the unfalsifiable hypothesis and it has no information value and there is no way to test it, it has no testable parameter and so it is not science. The unfalsifiable hypothesis predicts anything is possible therefore nothing is testable.“

In other words, today climate research is infested with “fake science”. Christy marches through a variety of climate-related phenomena in his speech, offering evidence on each that is sometimes mixed but often contrary to the implications of climate models and claims made by activists. The big picture is nothing short of damning to the catastrophic warming narrative. Yet the dire scenarios feared by the Chicken Littles of the world, which never come to pass, continue to be reported eagerly by the media and pressed for costly political action.