Why the Scientists Failed
(Adapted from The Climate Pandemic: How Climate Disruption Threatens Human Survival)
While the mainstream media have failed to adequately cover climate disruption, they are not entirely culpable. After all, the media can only cover what climate scientists are willing to communicate. This section details how scientists—climate scientists and others who should have spoken out—have failed in that communication.
True, climate scientists face a massively daunting challenge to understand the intricate, ever-changing global climate, with its multitude of diverse environments.
They are certainly indefatigable and ingenious. Some scientists embark on ocean voyages aboard instrument-laden research vessels.[1] Others analyze cores from probes drilled thousands of meters into the Antarctic ice sheets.[2] Still others feed masses of such data into supercomputers to construct intricate mathematical models of Earth’s climate.[3]
They are meticulous in their research, and their findings are as complete and accurate as they can make them.
We quite properly trust these scientists. One survey found that 71% of the respondents “strongly” or “somewhat” trusted climate scientists as a source of information.[4]
That said, trust in climate scientists depends heavily on political affiliation. A Pew Research Center survey found that only 15% of conservative Republicans trust climate scientists to “give full and accurate information about the causes of climate change.” More trusting were moderate/liberal Republicans (32%), moderate/conservative Democrats (45%), and liberal Democrats (70%).[5]
Although climate scientists are trustworthy, they do have flaws. Those flaws have played a central role in their ultimate failure to do their full measure of effort in warning society about climate disruption. Some of these flaws arise from the fundamental nature of science; others from scientists’ personal tendencies.
Scientists are never certain
The nature of science dictates that scientists must always be tentative. Their discoveries may seem definitive in media reports, but a new scientific paper can force scientists to revise or even abandon a conclusion. Such tentativeness is a natural and valuable part of the scientific process. It serves scientists well in the laboratory or the scientific meeting. However, the lay public may misinterpret uncertainty as ignorance or evasiveness.
Debating scientific findings is also critical for scientific advance, but scientists tend not to recognize that their internal debates are now public, thanks to the internet. Wrote environmental journalist Andrew Revkin:
Conflicting findings can make news coverage veer from one extreme to another, resulting in a kind of journalistic whiplash for the public. . . . Scientists see persistent disputes as the normal stuttering journey toward improved understanding of how the world works. But many fear that the herky-jerky trajectory is distracting the public from the undisputed basics and blocking change.[6]
Scientists also don’t know what they don’t know, which presents another inherent obstacle to communication.
As climate disruption historian Spencer Weart puts it: “In an area as difficult as climate science, where all is complex and befogged, it is hard to see what one is not prepared to look for.”[7]
A few examples of such scientific fog:
Despite this limitation in understanding, science’s rigor still makes it the most reliable source of human knowledge.
Of course, this book relies on scientific papers whose findings are by nature tentative. So, some findings may be proved wrong and others may require revision. However, like a digital image, in which some picture elements change but the overall image persists, these findings form an unequivocal, tragic picture of our potential extinction.
Scientists have a “low-dimensional” view in a “high-dimensional” world
Scientists lead relatively insular lives, spending most of their time in a relatively narrow “low-dimensional” realm of laboratory, seminar room, and field station. They mostly interact with other scientists—collaborating, mentoring, teaching, and supervising. They actually need little contact with laypeople to advance in their careers—when they apply for grants, do experiments, publish scientific papers, and give scientific talks.
Their professional focus is also low-dimensional. For example, in their field studies, they aim to gather narrowly defined data on specific phenomena—whether climate effects on trees or the Greenland ice sheet melting.
Similarly, scientists design narrowly defined laboratory experiments that try to hold constant all elements of a system except one—like evolving a recipe for perfect bread by varying only one ingredient at a time. Even computer modelers, who use a multitude of inputs in their models, cannot possibly encompass the broader complexity of the natural environment, or the social, political, and economic factors that affect it.
Seldom penetrating this professional shell are the broader social, economic, and/or political implications of their research. They have a limited ability to engage the far more complex “high-dimensional” world of politics, media, and the public arena.
Compare this insular lifestyle with that of doctors, lawyers, and politicians. Their professional advancement depends on their ability to communicate with laypeople and to grapple with the moral and political dimensions of their actions. Doctors must explain their diagnoses; lawyers must explain the law to clients and juries; and politicians must persuade voters.
Scientists’ instruments also limit their vision. For example, in the remote Arctic, the lack of ground-based automated instruments means that researchers can’t precisely measure winter CO2 emissions. The region is too remote for scientists to make detailed ground measurements in the frigid, dark winter months. This lack of winter measurements is critical because scientists need to understand how soils warmed by global heating are emitting CO2.[18] [19]
Scientists neglect the human factor
Climate scientists’ largely technical approach to their field recalls the saying, “to a man with a hammer, everything looks like a nail.” To the environmental scientists, climate disruption looks like a purely environmental problem. They see it as a problem that they can solve—for example predicting the effects of limiting CO2. But climate disruption is a stunningly complex human problem since it has ultimately arisen from human needs. As climatologist Bill McGuire put it in his book Hothouse Earth:
So complex and intertwined are the interactions and relationships between the climate, the natural world and human society and economy that—despite meticulous and comprehensive modelling—the nature, scale and breadth of climate breakdown impacts later in the century, and beyond, can only be guessed at.[20]
Sociologists have charged that environmental scientists have neglected the human element in climate disruption. Wrote sociologists Riley Dunlap and Robert Brulle in their book Climate Change and Society:
From the very beginning of the climate change research effort, the social sciences have been and continue to be marginalized. Consequently, from a natural science perspective, human activities remain in their black box, largely inaccessible.[21]
They pointed out that only 3% of scientific papers dealing with climate disruption have come from sociologists. When natural scientists do address climate disruption’s human elements, they mistakenly emphasize “the role of individuals in generating carbon emissions—who are thus held responsible for reducing them,” wrote Dunlap and Brulle. They wrote that stressing individual behavior:
. . .thus leaves the institutions that structure everyday life and individual practices unexamined [and] obscures the extent to which governments sustain unsustainable economic institutions and ways of life, and the extent to which they have a hand in structuring options and possibilities.
Consequently, they warned that “efforts to address climate change . . . are unlikely to succeed without greater knowledge of human behavior and societal dynamics supplied by social science.”
A prime example of climate disruption’s human impacts is rising temperatures’ perils. Economists Tamma Carleton and Solomon Hsiang described them:
Temperature . . . exerts remarkable influence over human systems at many social scales . . . heat induces mortality, has lasting impact on fetuses and infants, and incites aggression and violence while lowering human productivity.[22]
Our failure to understand the human side of climate disruption means that we will fail to forge a path to solutions. After all, it is our human nature that underlies culture, politics, and economics—all of which must be taken into account in any solutions.
Scientists are occupational optimists
Imagine you are trying to build a machine, and it fails miserably time after time. You’re in deep trouble because you’ve already claimed that it will work to those who funded your machine.
Each day you tweak and test and rethink a new design; and each day the machine dishearteningly fails again. Finally, after years of failure, you get the machine to function! But when you submit an article describing your success, the publisher enlists anonymous reviewers—perhaps your rivals—to criticize the design. Their criticisms force you to tweak the article again and again. Finally, you are allowed to unveil your machine to the world, but you know that at any moment a rival may invent a new, improved version that will render yours obsolete.
Welcome to the world of scientists, who toil in a profession in which they fail at the vast majority of experiments they try. In a Scientific American article, a young biologist, Maryam Zaringhalam, wrote frankly that:
Scientists seldom speak of false starts. While we all have stories about failure, the scientific narrative is dominated by bold questions that begat experimental triumphs. . . . If failure is mentioned, it is only in the past tense, listed as a steppingstone to discovery. . . . But mediocre failures—the mistakes and errors that lead to nothing—have no place. . . . Nearly everything that happens in the lab will never make it to print.[23]
To win funding in the first place, scientists must project a determined optimism in their research proposals. They must project a confidence in inevitable success. Almost certainly, no scientist has ever submitted a research proposal declaring, in essence: “We’ll give it our best shot, but we suspect we won’t find anything.”
Scientists plunge ahead driven by dedication, passion, and optimism. However, this mask of optimism sometimes slips, as climate scientists revealed on the website Is This How You Feel? The website contains their letters telling how they feel about the prospect of climate disruption. A poignant example came from climatologist David Griggs, who wrote:
“How do I feel about climate change?
Scientists self-censor
Climate scientists historically tended to mute their public voices and downplay the severity of climate disruption. Their self-censorship stemmed from their innate scientific reserve and denunciations—even persecution—by de-nihilists, who reject climate science. As climatologist Kevin Anderson wrote in 2015:
In several important respects, the modeling community is self-censoring its research to conform to the dominant political and economic paradigm. . . . We simply are not prepared to accept the revolutionary implications of our own findings. . . . And even when we do, we are reluctant to voice such thoughts openly. Instead, my long-standing engagement with many scientific colleagues leaves me in no doubt that whilst they work diligently, often against a backdrop of organised scepticism, many are ultimately choosing to censor their own research.[25]
Terming such timidity “scientific reticence,” climatologist James Hansen wrote in 2016 that “I believe, the affliction is widespread and severe. Unless recognized, it may severely diminish our chances of averting dangerous climate change.”[26]
Hansen cited cases in which scientists reviewing his papers before publication objected to his use of the word “dangerous” to describe the consequences of global heating. The reviewers suggested that the word be enclosed in parentheses, or be changed to “potentially dangerous,” or rephrased as “could be dangerous.”
“There is a very important issue at play here,” wrote Hansen. “The relevant scientific community, in our opinion, has been exercising self-censorship in its warning to the public about the danger of human-made climate change.”
Hansen, even as he suffered de-nihilists’ attacks, has by no means been reticent himself. He has played a seminal role in bringing public attention to the reality and dangers of climate disruption—most notably in 1988 testimony to a US Senate Committee. In that testimony he bluntly warned that the Earth is warming; that the warming is due to the greenhouse effect; and it will affect summer heat waves.[27] More recently, his program on Climate Science, Awareness and Solutions continues to promote public awareness of climate disruption and to connect climate science to policy.[28]
Because climate scientists self-censored, they allowed de-nihilism to seep into the science, concluded psychologists who analyzed the phenomenon. They wrote:
In response to constant, and sometimes toxic, public challenges, scientists have over-emphasized scientific uncertainty, and have inadvertently allowed contrarian claims to affect how they themselves speak, and perhaps even think, about their own research. . . . This “seepage” has arguably contributed to a widespread tendency to understate the severity of the climate problem.[29]
Because of scientists’ perceived need to speak in a single voice, they have underestimated the pace of climate change, asserted Naomi Oreskes, Michael Oppenheimer, and Dale Jamieson. They dubbed the phenomenon “univocality,” writing:
Many scientists worry that if disagreement is publicly aired, government officials will conflate differences of opinion with ignorance and use this as justification for inaction. Others worry that even if policymakers want to act, they will find it difficult to do so if scientists fail to send an unambiguous message.[30]
The authors also wrote that scientists worry that, if they overestimate a threat, they will lose credibility; but if they underestimate the threat, they will suffer little if any impact on their reputation:
In climate science, this anxiety is reinforced by the drumbeat of climate denial, in which scientists are accused of being “alarmists” who “exaggerate the threat.” In this context, scientists may go the extra mile to disprove the stereotype by downplaying known risks and denying critics the opportunity to label them as alarmists.
What’s more, wrote the authors, scientists are reluctant to make any estimates when data are internally contradictory. These tendencies can lead scientists to “minimalist conclusions that are weak or incomplete.”
“Erring on the side of least drama” is how Oreskes and colleagues characterize scientists’ inclination to downplay dramatic, alarming, or upsetting results, such as Arctic ozone depletion and the disintegration of the West Antarctic ice sheet. The melting of the ice sheet would constitute a major catastrophe, raising sea levels many feet.[31]
And as climate scientist Katharine Hayhoe succinctly said of her peers, “If they say something’s bad, you know it’s probably a lot worse than they said.”[32]
Even amid their self-censorship, though, climate scientists have expressed an overwhelming and carefully documented consensus supporting the reality of human-caused climate disruption and global heating.[33] Essentially all climate scientists accept the scientific certainty of human-caused climate disruption.
The catch is that only about one in every five Americans know how strong that consensus is—that 90% of scientists think global heating is happening.[34] It is just as likely that Americans don’t know that 31 of the world’s scientific societies signed a letter reaffirming the reality of climate disruption.[35]
In their self-censorship, scientists tended to delude themselves that they have done their full duty to society by publishing their findings in scientific journals. However, they failed to understand that facts don’t communicate themselves; that they require dissemination, explanation, and aggressive advocacy.
While this self-censorship has recently waned amid growing climate-related catastrophes, it rendered scientists inadequate sources of information on climate disruption’s dangers.
Scientists build imperfect, but useful, climate models
In a large windowless room in Greenbelt, Maryland, sits a phalanx of black, monolithic computer cabinets. Rows of furiously blinking indicator lights reflect the pace of computation going on within their 129,000 processors. This is the Discover supercomputing cluster at NASA’s Center for Climate Simulation.[36] It is among a multitude of centers worldwide that enlist supercomputers to model the global climate.
Researchers construct climate models—intricate networks of equations—based on fundamental physical principles. Then, in an effort to predict the future course of climate disruption, they their feed their models data on such phenomena as solar radiation; greenhouse gases; and aerosols emitted from fossil fuels, fires, and volcanoes.
The models then produce scenarios of possible future climates—including temperatures, precipitation, snow and ice cover, winds, and atmospheric and ocean circulation. The climate modelers then compare those outputs with measurements from the real world. They then “tune” their models’ equations until they match real-world measurements. Once they decide their models adequately reflect reality, they begin to pose “what-if” questions to seek to predict future climates.[37]
Models are hellishly complex, controversial, and ever-changing. They can be every bit as mutable as the SARS-CoV-2 coronavirus. Their assumptions are continually brought into question. For example, one criticism has been leveled that current models vastly overstate the production of coal and that resulting scenarios project implausible extreme climate impacts.[38] [39]
Nevertheless, such models underpin the efforts to create policies to mitigate climate disruption by the UN Intergovernmental Panel on Climate Change (IPCC). And while the models are impressive and valuable, they have inherent shortcomings that limit their ability to reliably predict future climate disruption.
These shortcomings are not the fault of the scientists who create the models. They arise because of lack of data and understanding of the extremely complex, dynamic global climate—both past and present. And the models are based on scientific theory, which is always subject to revision. Wrote climate scientist Zeke Hausfather:
Models are necessarily imperfect and cannot foresee all of the technological or societal changes that will happen over the coming century. For example, models used to struggle to reach 2°C targets before they started including large-scale negative emissions technologies—though these still largely exist only in the models, rather than in real-world deployments at scale.[40]
“Discrepancies between model forecasts and subsequently observed data are expected—indeed, they are the source of progressive improvements in understanding,” wrote Kathleen Hall Jamieson, Dan Kahan, and Dietram Scheufele. “By design, dynamic modeling enlarges knowledge through its failed predictions as much as through its successful ones.”[41]
A major problem with climate models is failure to communicate their uncertainty, the authors wrote:
Not only did the science communicators fail to make this element of climate science clear to the public, but over the past decade, many of them adopted communication “strategies” that elided it. To promote the urgency of action, they depicted the projections of the [IPCC reports] as extrapolations from settled and incontrovertible scientific findings. But because this framing was selected to accommodate the popular understanding that science warrants confidence based on experimentally “proven” facts, it made climate science more vulnerable to attack by those intent on undermining public confidence in it when, as was anticipated by scientists themselves, actual data diverged from the climate science model forecasts.
The range of uncertainty in climate models doesn’t mean they’re wrong. If you rammed your car into a tree, there would be a range of uncertainty about whether you would survive. But ramming your car into a tree would still be a calamity.
The upshot seems to be, scientists really don’t know for sure which models are good and which aren’t.
Scientists “tune” their models
As mentioned earlier, scientists tune their models to improve them. As journalist Paul Voosen explained: “When the equations miss the mark and the model strays from the known climate, scientists . . . bring it back into harmony by adjusting [their models].” Such tuning is, and will remain, ad hoc and limited, wrote Voosen: “Indeed, whether climate scientists like to admit it or not, nearly every model has been calibrated precisely to the 20th century climate records.”[42]
The human element is very much part of the climate modeling “equation.” Climatologist Michael Oppenheimer and colleagues termed expert judgment “an unavoidable element” of climate models.[43]
Oppenheimer commented that “scientists working in climate change know that the models used throughout climate research have shortcomings. . . the procedure by which experts assess the accuracy of models projecting potentially ruinous outcomes for the planet and society is surprisingly informal [emphasis added].”[44]
However, here’s a key message to climate de-nihilists: Such tuning does not reflect uncertainty about the reality that global heating is happening. That reality is irrefutable.[45] Rather, the tuning relates to uncertainty about the speed and magnitude of temperature rise, sea-level rise, and other phenomena.
Scientists’ models look backward with blurry vision
In their modeling, scientists often look backward in order to look forward—using historical data to test their models. But their rearview vision is far from 20/20. In reality, scientists aren’t really sure what historical global temperatures were. There simply wasn’t enough instrumentation. So, historical global temperatures are calculated by blending the few temperatures measured over land with the few measured over ocean, wrote climate scientist Ed Hawkins. These measurements could only be obtained where there were thermometers on land and ships on the ocean. Thus, the measures are “sparse, differently measured changes of temperature over time,” he wrote.[46]
For temperature measures before thermometers existed, scientists rely on “paleoclimate proxies.” These are temperature-indicating materials preserved within the geologic record, including everything from plankton to cave deposits. Analyzing them to deduce ancient temperatures is technically challenging and subject to interpretation.
Scientists’ models are blind to abrupt changes
Another climate model shortcoming is that they do not take into account data on the sometimes-drastic changes in the paleoclimate. Such data could significantly improve climate models’ accuracy, noted one study. The authors wrote that “Although the latest Earth system models offer an unprecedented number of features, fundamental uncertainties continue to cloud our view of the future.”[47]
Scientists’ blurry view of the paleoclimate means that climate models are ill-equipped to predict future abrupt changes. As the National Climate Assessment stated:
[Climate models] do not include all of the processes that can contribute to feedbacks . . . compound extreme events, and abrupt and/or irreversible changes. For this reason, future changes outside the range projected by climate models cannot be ruled out . . . . Moreover, the systematic tendency of climate models to underestimate temperature change during warm paleoclimates suggests that climate models are more likely to underestimate than to overestimate the amount of long-term future change [emphasis added].[48]
Abrupt changes arise from events like major volcanic eruptions or “tipping points”—irreversible transitions triggered by rising temperatures. These tipping points cause feedback that drives even greater temperature rise. They include massive methane release from frozen subsea deposits called clathrates; uncontrolled burning of peat bogs; and massive release of CO2 from decay of thawing permafrost.
In cataloging such tipping points, researchers have found shortcomings in climate models. Wrote climate physicist Sybren Drijfhout:
Most climate models still don’t even factor in how vegetation will respond to changes in climate [which] would probably lead to more predictions of land-based “tipping points.” Likewise, ice sheet collapses and carbon and methane release from thawing permafrost could also lead to abrupt transitions but aren’t yet included in climate models.[49]
For example, current climate models don’t agree on how fast Arctic permafrost will thaw because they don’t reproduce such surface features as thermokarst lakes, said the 2021 IPCC report on the physical basis of climate change.[50] Vast numbers of such lakes produced by thawing permafrost dot the Arctic.[51] The IPCC report found that “not representing thermokarst-inducing processes in ice-rich terrain leads to a systematic underestimation of the rapidity and magnitude of permafrost thaw.”
When researchers did create a model that took the effects of new lake formation into account, they found that by 2100 the increased permafrost thawing could add millions more metric tons of methane to the atmosphere per year than other models predicted.[52]
Carbon emissions from warming soils is another important CO2 source left out of climate models because of high uncertainty. In one study, when ecologists analyzed the results of field experiments in which test plots were artificially warmed, they calculated that up to 50 billion metric tons of carbon could be released from warming soils by 2050. They noted that their estimates have “considerable uncertainty,” but that “the direction of the global soil carbon response is consistent across all scenarios.”[53]
“It’s of the same order of magnitude as having an extra US on the planet,” co-author Thomas Crowther told The Washington Post. “The entire magnitude of this feedback was removed from several of the Earth system models, the models that inform [the IPCC] because of its massive uncertainty,” he said.[54]
Scientists’ models can’t handle feedback
Feedback—in which change triggers more change—is a fundamental property of such tipping points. Climate models fall short in taking into account feedback mechanisms, both the National Climate Assessment and individual researchers have asserted.
One important such mechanism is carbon-cycle feedback. The carbon cycle comprises the chemical and physical processes by which carbon is exchanged among the atmosphere, land, ocean, and organisms. It governs how much emitted CO2 is absorbed by the oceans and land.
While the oceans and land currently absorb about half of emitted CO2, this absorption drops with rising global temperature. Feedback arises because warming oceans and soil can hold less CO2. And more CO2 is released by dying trees, wildfires, and thawing permafrost. This CO2 increase feeds back to trigger higher atmospheric CO2.
Uncertainties about carbon-cycle feedback constitute a major reason why different climate models yield different results. Such uncertainties could mean major differences in projected warming. Feedbacks could result in up to 25% more warming than in IPCC projections, one study showed.[55]
Scientists’ models can’t handle multiple disasters
Nor can models handle the complex interactions among multiple climate phenomena. As climatologist Katharine Hayhoe commented at a scientific meeting when discussing the report the National Climate Assessment:
Even though we know our climate models incorporate most of the important processes. . . we know they don’t include all the processes that can contribute to these vicious cycles—to these types of compound extreme events, where you have heat and drought, or flood and heat happening at the same time—and abrupt or irreversible changes. And so we conclude that future changes outside the range projected by climate models cannot be ruled out.[56]
And as the Assessment itself pointed out, these effects “can be greater than the sum of the parts.”[57]
The future will see more multiple, simultaneous climate disasters, concluded a research review by Camilo Mora Mora and colleagues.[58] They compiled data on such hazards as heat waves, drought, floods, storms, and fires. They concluded that by 2100, the world could be exposed to three such simultaneous hazards if emissions are not aggressively reduced. Some tropical coastal areas could face up to six simultaneous hazards, they projected. Mora told The New York Times the prospect is “like a terror movie that is real.”[59]
Scientists’ models are dehumanized
Because climate scientists have neglected to see climate disruption as a human problem, as discussed earlier, their models reflect this neglect. For example, climate models have not included the interaction between the “Earth system” and the “Human system,” noted researchers led by Safa Motesharrei. They define the Human system as including growth in resource use, land-use change, emissions, and pollution.
“This makes current models likely to miss important feedbacks in the real Earth-Human system, especially those that may result in unexpected or counterintuitive outcomes,” the researchers wrote.[60]
Scientists’ models can conflict with each other and with reality
Computer models’ shortcomings can arise from their inability to reflect the reality revealed by actual measurements.
For example, models tend to underestimate how much fossil-fuel particulate emissions reach the Arctic. Understanding these emissions is important because carbon soot from burning fuels and farm waste lofts high into the atmosphere and spreads worldwide, including in the Arctic. Such soot increases atmospheric temperatures by absorbing sunlight and also coats the white Arctic ice with a layer of heat-absorbing grime, increasing melting.
Researchers led by Yousuke Sato developed an improved model of soot’s effects that will lead to more realistic climate simulations.[61] However, he said, while the new approach “reduced the underestimation, it did not completely eliminate it.”[62]
Researchers must also adjust their models to accommodate new field measurements—for example, of CO2 emissions from lakes and waterways. Models currently calculate such emissions indirectly using physical laws. However, when researchers took actual measurements of emissions over a reservoir, they found that emissions may be up to 40% greater than previously believed—meaning that models miss a significant CO2 source.[63]
Models are also deeply inadequate in assessing how clouds affect global heating. As the 2021 IPCC report on the physical basis of climate change put it:
Clouds and aerosols continue to contribute the largest uncertainty to estimates and interpretations of the Earth’s changing energy budget. . . . Climate models are incorporating more of the relevant processes than at the time of [the 2014 report], but confidence in the representation of these processes remains weak.[64]
Indeed, climate modeler Ellie Highwood has dubbed clouds “infernally infuriating.”[65] [66]
Some studies suggest that clouds cool the Earth, with their loss having catastrophic effects. One modeling study concluded that future high CO2 levels expected over the next century could cause cooling stratocumulus clouds to dissipate, triggering a massive 8°C heating over that caused by greenhouse gases alone. Clouds would only reform once CO2 levels drop, which could take centuries.[67]
Such cloud-cooling assumptions are a major cause of “too hot” models that climate scientists wrestle with how to combine with other models.[68] Wrote authors of a commentary on hot models, even if researchers knew precisely future greenhouse gas emissions:
…we would still not know exactly how warm the planet would get. This is because human-caused global warming is an enormous experiment that has no precedent, and feedback processes, such as changes to cloud cover, will affect the pace and magnitude of warming.[69]
On the other hand, other studies suggest that clouds amplify global heating. These studies, based on actual measurements of cloud characteristics, predict that warming temperatures make the Earth cloudier, triggering feedback of more heating.[70] [71] [72] [73]
Even given the shortcomings of global climate models, they have done quite a good job so far of tracking the inexorable rise of global temperatures.[74] However, “past performance is no guarantee of future results,” as the standard disclaimer on financial documents puts it.
Earth has entered a new regime rife with catastrophic peril.
Putting you in a climate scientist’s shoes
Imagine you’re a climate scientist. Your research tells you that the world undoubtedly faces ecological ruin if governments fail to take drastic steps to battle climate disruption. While you feel a moral obligation to advocate for action, you face intimidating barriers to that advocacy.
For one thing, you don’t have the time. To serve your career, you must write extensive proposals to win research funding. Because you live in a “publish or perish” world, you must spend huge amounts of time writing scientific papers to share your findings.
You also must spend time analyzing data, attending seminars and conferences, managing experiments, teaching classes, mentoring students, attending administrative meetings, and reviewing scientific papers for journals.
You may mount field expeditions to measure tree rings, take cores of glacial ice, sample ocean water, probe ocean currents, explore coral reefs, or chip at sedimentary rock layers.
On top of all that, keeping your sanity requires a social life, family time, and recreation.
What’s more, you are not trained for communication skills. You have likely never taken a course in communication, so you aren’t practiced in the arts of persuading audiences, telling engaging stories, or creating vivid metaphors.
Unlike doctors, lawyers, and politicians, as mentioned earlier, explaining your work to the public is not a basic part of your profession. Your only lay-level explaining is teaching to an essentially captive audience of students—very different from persuasively explaining to an audience for whom listening to you is entirely voluntary.[75]
You are milquetoasted
When you do communicate with the public, your job situation forces you to be “milquetoasted”—muting your voice and moderating your opinions.
You can be summarily fired for speaking out if you work for a private company, such as a government contractor. If you are a public university scientist, you must take great care with any public advocacy, scrupulously separating it from your work. The Climate Science Legal Defense Fund (CSLDF) cautions such scientists who would advocate publically to:
If you are a government scientist, you risk your career by speaking out—especially given that your agency is headed by a political appointee. Public advocacy can lead to budget cuts, reassignment, and/or your projects being relegated to a back burner.
Although universities do have a tradition of academic freedom, it only goes so far. If you don’t have tenure, you risk your career because of the “inconvenience” your activism might present for your institution. After all, universities depend on money from donors, corporate partners, alumni, and parents; and these groups likely include people who deny the reality of climate disruption.
Even if donors and corporations do accept climate disruption, they may be reluctant to invest in research by an outspoken climate advocate who might violate confidentiality agreements. And by speaking out, they may see you as violating a university culture that values public reserve.
If you find yourself in legal hot water, your university’s lawyers do not necessarily have your best interests in mind. After all, their job is to defend the institution, not its employees. The CSLDF advises you to hire your own lawyer if you find yourself subject to threats, congressional inquiries, subpoenas, or record requests.
For public universities, politics adds another element of doubt about whether the university will protect scientist-advocates. Your Board of Regents may renounce, or at least fail to support, an activist scientist.
You must also consider more than just your own career in deciding whether to advocate. You likely work in a team of scientists inside and outside your institution. Your activism could reflect negatively on the team and damage any collaborative projects. Even those collaborators at private institutions protected from state government interference may still fear that their association with you will leave them vulnerable to such privacy invasions as having their emails made public.
You work in a climate of fear
You could face personal hazards just for publishing your work in scientific journals, as has climatologist Michael Mann. He is co-author of a famous scientific paper showing that compared to past millennia, global temperatures have recently soared upward like the blade of a hockey stick.[77] Because of that “hockey stick graph,” he has received death threats against him and his family, and even experienced the horror of opening an envelope full of a white powder that could have been anthrax. It turned out to be cornstarch.[78] He has also fought a protracted legal battle against climate science de-nihilists seeking to obtain his emails.[79]
Environmental activist Bill McKibben has found himself stalked by videographers from right-wing organizations and his archives copied.[80] In her book Saving Us, climatologist Katharine Hayhoe describes the persecution she has suffered:
Communist, libtard, lunatic; Jezebel, liar, and whore; high priestess of the climate cult and handmaiden of the Antichrist, I’ve been called it all . . . . Nearly every day I receive angry, even hate-filled, objections to the work I do as a climate scientist: tweets, Facebook comments, even the occasional phone call or handwritten letter. “You make your living off climate hysteria,” reads one tweet. A multipage, single-spaced manifesto in my university mailbox starts, “You Lie!!!!” A Facebook message screams, “Get aborted you human-hating c***.”[81]
Another barrier to effective advocacy is that you are not particularly politically influential. “Scientists have little political power: they are small in numbers, rarely sufficiently financially wealthy to use money as a political tool, and often politically naïve or poorly networked,” wrote climatologist Peter Gleick.
Climate scientists face unfriendly legislators when testifying at hearings, wrote Gleick: “The hostility of some policymakers to scientific evidence and information—especially the federal level—has . . . turned them into events more akin to political theater than educational and informational opportunities.”[82]
And as a climate scientist, your public voice has been muted by poor mainstream media coverage. For example, science makes up only a couple of percent of the news coverage in traditional media, found one study.[83]
Scientists lack the advocacy gene
Besides such daunting personal barriers to advocacy, most scientists possess a natural disinclination to involve themselves in messy political controversy. While they readily debate scientific facts and findings, debate over politics is not as built into their DNA.
Nor do scientists like to “perform” before an audience, using what they may see as unseemly theatrics to compellingly make their case—even though such stagecraft is fundamental to engaging audiences. So, they prefer to write reports, letters, and op-eds, rather than giving passionate speeches, lobbying, or holding news conferences.
Despite scientists’ ambivalence about advocacy, they are generally positively disposed toward public communication. One survey of scientists found that an impressive 87% agreed that “Scientists should take an active role in public policy debates about issues related to science and technology.” However, 56% consider media coverage of their research unimportant.[84] [85]
Scientists’ commitment to advocacy may well be increasing due to the rising urgency of climate disruption and an anti-science political climate. For example, the March for Science events have certainly been salutary and praiseworthy events.[86] That said, it’s worth noting that it took the presidency of Donald Trump and a virulently antiscience administration to spur scientists to leave their laboratories and demonstrate.
Perhaps the marches signal an upswing in scientists’ political involvement. But scientists will never be able to mount the kind of well-funded efforts of corporate lobbyists.
Scientists are cool-blooded
We humans are emotional creatures, which has served our species well. While our intellect has fueled our success as a species, our emotions are the spark that ignites our drive for survival. Scientists, however, tend to see themselves, wrongly, as purely intellectual creatures, whose principal motivation is cool, emotion-free curiosity.
True, scientists are not most rewarded in their careers for passionate advocacy of their theories, but for dispassionate analytical communication of their findings. Their scientific papers are understated, dry, and conservative in vernacular—sometimes to the point of absurdity.
An example of such absurdly low-key prose is scientists’ description of their geoengineering proposal to reduce global temperatures by injecting sulfur into the atmosphere.[87] The scheme by Ulrike Niemeier and Simone Tilmes is distinct in its unworkability and peril. In the deadpan prose of their scientific paper, the authors cite “uncertain” aspects that include the level of injection and distribution patterns.
However, the kicker comes when they dryly cite that injections would have to continue for 160 years, require spewing eight million metric tons of sulfur a year into the atmosphere, from 6,700 airplane flights a day, at a cost of $20 billion a year. The authors’ ability to cite such statistics without exclaiming the scheme’s foolhardiness is breathtaking (see Geoengineering Quackery).
Scientists communicate blandly
Scientists’ public documents are similarly understated, often to the point of vapidity. A prime example is an open letter from National Academy of Sciences members after Donald Trump’s nomination. The letter was dry and bloodless—despite the outrageousness of Trump’s claim that climate disruption was a hoax and his threat to withdraw from the Paris Agreement on climate change.
For one thing, the Academy letter was not from “shocked,” “dismayed,” or “astonished” scientists, but from “concerned members” of the Academy. And it only called climate disruption a “real, serious, and immediate problem” that “poses significant risks.” The letter blandly declared that “it is of great concern [emphasis added]”—and not even of “greatest concern”—that Trump advocated US withdrawal from the Paris Accord.[88] You can imagine how little impact this letter had amid the high emotions of the campaign.
Scientists’ tendency to tamp down passion in their communications has compromised their role as a source of accurate information because true accuracy requires emotional context. Scientists are fact-driven, while the public is driven more often by emotion, and politicians by political calculation, with facts often taking a back seat.
The authors of The Psychology of Climate Change Communication leveled a charge back in 2009 that in my experience is still true today:
Many of the highly publicized graphs and charts showing global climate change data . . . fail to inspire a sense of urgency in many audiences. They do not help convey the deep concern scientists have that efforts to abate and adapt to climate change are a near-term necessity if humanity is to avert the worst effects.[89]
Scientists tend to be similarly passionless when they give talks to lay audiences. As one who has sat through a multitude of their lay-level talks, I can attest that scientists are too often lackluster performers—low-key, low-energy, and data-spouting. As discussed earlier, unlike lawyers and politicians, they shy away from using the dynamic stagecraft that makes for effective presentations. This lack of emotion may arise from their teaching role, where they see their primary job as imparting facts to students, not engaging their interest. But it certainly arises from scientists’ lack of an explanatory culture.
Scientists cling to the deficit model
Scientists tend to be “factivists”—enamored of the belief that they need only feed their audiences facts, and those audiences will readily adopt the rational view of such topics as climate disruption. However, reaching the public and policymakers means not only transmitting scientific information, but interpreting its policy implications and advocating for that interpretation—even, God forbid, showing passion.
In their communication, scientists have long embraced a theory called the “deficit model.” The model holds that to correct wrong-headed thinking only requires giving people more information.
However, this “most widely held, and simplest model of what audiences need from science communication . . . is wrong,” as was so pithily expressed in the publication Communicating Science Effectively: A Research Agenda.[90] The authors wrote that research on communication:
Shows that audiences may already understand what scientists know but, for diverse reasons, do not agree or act consistently with that science. . . . People rarely make decisions based only on scientific information; they typically also take into account their own goals and needs, knowledge and skills, and values and beliefs.
Another problem with the deficit model is that corrective information quickly fades, concluded studies by political scientists Brendan Nyhan and colleagues. Their experiments tested the durability of corrective information like fact checks. They found that the corrections “frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims,” wrote Nyhan.[91]
The irony is that data-loving scientists—in uncritically embracing the deficit model—ignore data from psychological studies disproving the model’s effectiveness. As microbiologist Amanda Freise wrote:
The reluctance of some scientists to accept the failure of the deficit model approach indicates that pure information isn't enough to convince them, either—otherwise, they would acknowledge the research and look for new ways to talk to the public.[92]
Studies have conclusively shown that more information does not lead to “enlightenment.” Psychologists found that political beliefs tended to trump knowledge when they measured the science literacy of 1,540 people, then asked them for their opinions about climate disruption. Conservative subjects who knew the most about science tended to believe that climate change posed the lowest risk. The researchers concluded that facts took a back seat to people’s personal interest “in forming beliefs in line with those held by others with whom they share close ties.”[93]
Many science groups have mounted efforts to help scientists progress beyond mere data transmission. The Office of Government Relations of the American Association for the Advancement of Science helps scientists advocate for research.[94] And the COMPASS science communication program trains scientists to build advocacy into their communication.[95] The American Geophysical Union offers its members resources and training to enable them to advocate for Earth and space science.[96] The Union of Concerned Scientists offers workshops that teach scientists how to influence decision-makers, talk with the media, and work with communities.[97]
Nevertheless, the erroneous deficit model will continue to rise zombie-like to stalk the scientific community. The hallmark of its undead presence will be naïve assertions by scientists that they seek to “educate” and/or “inform” the public and/or policymakers to enlighten them about the truth of a scientific theory—whether it is climate disruption or another partisan issue.
Scientists are wishy-washy worded
Scientists’ milquetoasted communications have included the words they use. In choosing descriptive words, climate scientists downplayed the seriousness of climate disruption, charged climatologist James Risbey.
In a 2008 article, he wrote that climatologists tended to dismiss as “value-laden” such terms as “catastrophic,” “rapid,” “urgent,” “irreversible,” “chaotic,” and “worse than previously thought”—even though climate change can be legitimately described as such. At the same time, scientists did not label as value-laden milder terms that are just as subjective, Risbey wrote.
“This asymmetry in use of the charge of ‘value-loading’ is a form of scientific reticence and weakens scientific communication in the face of actual threats to the public,” he wrote.[98]
A classic example of inadvertent wishy-washy wording is the title of Bill McGuire’s book Hothouse Earth: An Inhabitant’s Guide.[99] The word is weak, in that a hothouse is a warm building meant to grow plants out of season—in other words, a comfortable environment. Thus, a “hothouse flower” was grown in a sheltered environment. The phrase “Hellscape Earth” would more aptly describe the true catastrophic impact of global heating (see Hellscape Earth).
As alarm over climate disruption has grown, some scientists have begun using appropriately urgent language to describe its dangers. In 2020, one group warned of “a ghastly future of mass extinction, declining health, and climate-disruption upheavals.”[100] And in 2021, a group of more than 14,000 scientists warned of a “climate emergency,” citing “mounting evidence that we are nearing or have already crossed tipping points associated with critical parts of the Earth system.”[101]
However, this evolution in language is arguably too little, too late.
Scientists are word-deaf
Scientists are also “word-deaf,” tending to resort to arcane jargon when speaking to nonscientists. Climate communicator Susan Hassol counsels using more lay-friendly substitutes for such jargon, like “human-caused” instead of “anthropogenic” and “time” instead of “temporal.” She wrote:
Saying human activity “contributes” to global warming makes it sound like human activity might be only a minor contributor. It would be more accurate to say “most of the warming” . . . Avoid using the word “debate” in connection with climate change . . . try something like “the urgent challenge of human-induced climate disruption,” rather than “climate debate.”[102]
As shown in this table, there are myriad other terms that scientists use that mean very different things to the public.[103] [104]
The word “uncertainty” is among the most misleading such words used in climate science to the public. They see the word as denoting ignorance rather than merely a statistical term denoting the range of possible values of a measurement.
For example, a summary for policymakers of the 2021 IPCC report used the words “uncertain,” “uncertainty,” or “uncertainties” some 16 times in its 41 pages.[105]
The IPCC report said that, even though wide ranges of uncertainty likely encompassed true values of climate effects, “wide intervals were interpreted by lay people as implying subjective uncertainty or lack of knowledge on the part of scientists.”[106]
In one study, psychologists found that IPCC scientists failed to communicate effectively the risk level of climate disruption effects. The psychologists surveyed lay-level respondents on their interpretation of risk-communicating sentences from the IPCC reports. While the reports explicitly defined “very likely” to mean a greater than 90% probability, most of the respondents took “very likely” to mean down to 65% or less.[107]
This critical perception gap means that policymakers could well believe that the scientific evidence for global heating is weaker than it really is.
Scientists made a terminal terminological error
By far the most egregious and damaging examples of scientists’ word deafness has been their uncritical adoption of the terms “climate change” and “global warming.” Scientists introduced both terms in early technical papers, and they went on to be adopted as de facto standards. The term “climatic change” apparently appeared for the first time in a 1956 paper by physicist Gilbert Plass.[108] And “global warming” was popularized by a 1975 paper by geochemist Wallace Broecker.[109]
Both these terms reflect scientists’ penchant for bland understatement, as well as a lack of appreciation of the wider impact of their words. And ironically—given scientists’ pride in using precise technical terms—both phrases are imprecise.
“Climate change” is a neutral term that fails to reflect its profound global impact. The innocuous word “change” seems to signify a natural, evolutionary process, rather than an abrupt alteration. Its adoption as the default term has certainly given climate disruption de-nihilists an opening big enough to drive a tanker truck through. They often use the term to make the invalid point that the climate has always been “changing.”
The term “climate disruption” is more accurate and informative. It conveys the idea of an unnatural global climatic discontinuity. Certainly, de-nihilists could not argue that the climate has always been “disrupting.”
The term “climate disruption” has been used occasionally by such distinguished scientists as Paul and Anne Ehrlich, John Holdren, and Stuart Pimm. [110] [111] [112] However, it is not in widespread usage.
The term “global warming” is just as misleading. It evokes a benign, even pleasant, process, rather than the existential threat it really is. For example, we “warm” ourselves to feel more comfortable when we are cold. We give people a warm welcome because we have a warm personality.
This book uses “global heating,” as have such groups as Greenpeace to more accurately describe the dangerous temperature rise from increased greenhouse gases.[113]
By perpetuating the inaccurate terms “climate change” and “global warming,” scientists inadvertently sabotaged their own efforts to convey the urgency of action to prevent ecological disaster.
As a result of the shortcomings laid out in this section, scientists’ voices have been tragically muted on climate disruption. They have failed to convey the peril of the climate pandemic.
[1] NOAA. NOAA Ship Ronald H. Brown.
[2] AntarcticGlaciers.org. “Ice Core Basics.”
[3] National Academy of Sciences. “Climate Modeling 101.”
[4] Leiserowitz, Anthony, Edward Maibach, Connie Roser-Renouf, Geoff Feinberg, and Seth Rosenthal. “Majorities of Americans Trust Climate Scientists, Family and Friends,” Climate Change in the American Mind. Yale Program on Climate Change Communication and George Mason University Center for Climate Change Communication (March 2015).
[5] Pew Research Center. The Politics of Climate (October 4, 2016).
[6] Revkin, Andrew C. “Climate Experts Tussle over Details. Public Gets Whiplash.” The New York Times (July 29, 2008).
[7] Weart, Spencer. The Discovery of Global Warming: Rapid Climate Change (January 2017).
[8] Voosen, Paul. “Joint Research Push Targets Fast-Melting Antarctic Ice.” Science 354, no. 6309 (September 14, 2016).
[9] EPA. Inventory of US Greenhouse Gas Emissions and Sinks: 1990-2014 (April 15, 2016).
[10] Mooney, Chris. “The US Has Been Emitting a Lot More Methane Than We Thought, Says EPA.” The Washington Post (April 15, 2016).
[11] Brandt, A.R., G. A. Heath, E. A. Kort, F. O'Sullivan, G. Pétron, S. M. Jordaan, P. Tans et al. “Methane Leaks from North American Natural Gas Systems.” Science 343, no 6172 (February 14, 2014).
[12] Alvarez, Ramón A., Daniel Zavala-Araiza, David R. Lyon, David T. Allen, Zachary R. Barkley, Adam R. Brandt, Kenneth J. Davis, Scott C. Herndon et al. “Assessment of Methane Emissions from the US Oil and Gas Supply Chain.” Science 361, no. 6398 (June 21, 2018).
[13] Deemer, Bridget R., John A. Harrison, Siyue Li, Jake J. Beaulieu, Tonya DelSontro, Nathan Barros, José F. Bezerra-Neto et al. “Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis.” BioScience 66, no. 11 (October 4, 2016).
[14] Cornwall, Warren. “Hundreds of New Dams Could Mean Trouble for Our Climate,” Science (September 28, 2016).
[15] Coral Bleaching Task Force. “Coral Bleaching Taskforce Documents Most Severe Bleaching on Record.” ARC Centre of Excellence for Coral Reef Studies, James Cook University (March 29, 2016).
[16] Urban, M.C., G. Bocedi, A. P. Hendry, J.-B. Mihoub, G. Pe’er, A. Singer, J. R. Bridle et al. “Improving the Forecast for Biodiversity under Climate Change.” Science 353, no. 6304 (September 9, 2016).
[17] Shepherd, Theodore G. “Effects of a Warming Arctic.” Science 353, no. 6303 (September 2, 2016).
[18] Parazoo, Nicholas C., Roisin Commane, Steven C. Wofsy, Charles D. Koven, Colm Sweeney, David M. Lawrence, Jakob Lindaas, Rachel Y.-W. Chang, and Charles E. Miller. “Detecting Regional Patterns of Changing A Process for Capturing CO2 from the Atmosphere Flux in Alaska.” Proceedings of the National Academy of Sciences 113, no. 28 (July 12, 2016).
[19] Rasmussen, Carol. “Growing Arctic Carbon Emissions Could Go Unobserved.” NASA Global Climate Change News (June 27, 2016).
[20] McGuire, Bill. Hothouse Earth: An Inhabitant’s Guide. Icon Books (2022).
[21] Dunlap, Riley E. and Robert J. Brulle, eds. Climate Change and Society: Sociological Perspectives. Oxford University Press, 2015.
[22] Carleton, Tamma A. and Solomon M. Hsiang. “Social and Economic Impacts of Climate.” Science 353, no. 6304 (September 9, 2016).
[23] Zaringhalam, Maryam. “Failure in Science Is Frequent and Inevitable—and We Should Talk More about It.” Scientific American, June 30, 2016.
[24] Is This How You Feel? Website.
[25] Anderson, Kevin. “Duality in Climate Science,” Nature GeoScience 8 (October 12, 2015).
[26] Hansen, James. “Dangerous Scientific Reticence.” Earth Institute, Columbia University (March 23, 2016).
[27] Hansen, James. “Congressional Testimony of Dr. James Hansen” (June 23, 1988).
[28] Climate Science Awareness and Solutions, Earth Institute, Columbia University.
[29] Lewandowsky, Stephan, Naomim Oreskes, James S. Risbey, Ben R.Newell, and Michael Smithson. “Seepage: Climate Change Denial and Its Effect on the Scientific Community,” Global Environmental Change 33 (July 2015).
[30] Oreskes, Naomi, Michael Oppenheimer, and Dale Jamieson. “Scientists Have Been Underestimating the Pace of Climate Change.” Scientific American (August 19, 2019).
[31] Brysse, Keynyn, Naomi Oreskes, Jessica O’Reilly, and Michael Oppenheimer. “Climate Change Prediction: Erring on the Side of Least Drama?” Global Environmental Change 23, no. 1 (February 2013).
[32] Schwartz, John. “Will We Survive Climate Change?” The New York Times (November 19, 2018).
[33] Myers, Krista F., Peter T. Doran, John Cook, John E. Kotcher, and Teresa A Myers. “Consensus Revisited: Quantifying Scientific Agreement on Climate Change and Climate Expertise among Earth Scientists 10 Years Later.” Environmental Research Letters 16, no. 10 (October 20, 2021).
[34] Leiserowitz, Anthony, Edward Maibach, Seth Rosenthal, John Kotcher, Jennifer Carman, Liz Neyens, Jennifer Marlon, Karine Lacroix, and Matthew Goldberg. Climate Change in the American Mind, April 2022. Yale Program on Climate Change Communication and George Mason University Center for Climate Change Communication (April 2022).
[35] American Association for the Advancement of Science. “Thirty-One Top Scientific Societies Speak With One Voice on Global Climate Change.” Eurekalert! (June 28, 2016).
[36] NCCS. Discover Supercomputer: NCCS’ Primary Computing Platform.
[37] CarbonBrief. “Q&A: How Do Climate Models Work?” (January 15, 2018).
[38] Pielke, Roger Jr. and Justin Ritchie. “How Climate Scenarios Lost Touch with Reality.” Issues 37, no. 4 (Summer 2021).
[39] Hausfather, Zeke, and Glen P. Peters. “Emissions—the ‘Business as Usual’ Story Is Misleading.” Nature 577 (January 29, 2020).
[40] Hausfather, Zeke. “Explainer: How ‘Shared Socioeconomic Pathways’ Explore Future Climate Change,” Carbon Brief (April 19, 2018).
[41] Jamieson, Kathleen Hall, Dan Kahan, and Dietram E. Scheufele. “Introduction: Why Science Communication?” in Jamieson, Kathleen Hall, Dan Kahan, and Dietram E. Scheufele, eds, The Oxford Handbook of the Science of Science Communication, Oxford University Press, June 16, 2017.
[42] Voosen, Paul. “Climate Scientists Open up Their Black Boxes to Scrutiny.” Science 354, no. 6311 (October 28, 2016).
[43] Oppenheimer, Michael, Christopher M. Little, and Roger M. Cooke. “Expert Judgement and Uncertainty Quantification for Climate Change.” Nature Climate Change 6 (April 27, 2016).
[44] Kelly, Morgan. “New Tool Puts a Consistent Value on Experts' Uncertainty on Climate Change Models.” Princeton University News (April 27, 2016).
[45] NASA. “Climate Change: How Do We Know?”
[46] Hawkins, Ed. “Reconciling Estimates of Climate Sensitivity.” Climate Lab Book blog (June 27, 2016).
[47] Tierney, Jessica E., Christopher J. Poulsen, Sabel P. Montañez, Tripti Bhattacharya, Ran Feng, Heather L. Ford, and Bärbel Hönisch. “Past Climates Inform Our Future.” Science 370, no. 6517 (November 6, 2020).
[48] US Global Change Research Program. Fourth National Climate Assessment, Executive Summary. From: Fourth National Climate Assessment Volume 1 (2018).
[49] Drijfhout, Sybren. “What Climate ‘Tipping Points’ are—and How They Could Suddenly Change Our Planet.” The Conversation (December 9, 2015).
[50] IPCC. Chapter 9: Ocean, Cryosphere, and Sea Level Change. From: Climate Change 2021: The Physical Science Basis (August 9, 2021).
[51] Zandt, Michiel H.in ‘t, Susanne Liebner; and Cornelia U. Welte. “Roles of Thermokarst Lakes in a Warming World.” Trends in Microbiology 28, no. 9 (September 2020).
[52] Schneider von Deimling, T., G. Grosse, J. Strauss, L. Schirrmeister, A. Morgenstern, S. Schaphoff, M. Meinshausen, and J. Boike. “Observation-Based Modelling of Permafrost Carbon Fluxes with Accounting for Deep Carbon Deposits and Thermokarst Activity.” Biogeosciences 12, no. 11 (June 5, 2015).
[53] Crowther, T.W., K. E. O. Todd-Brown, C. W. Rowe, W. R. Wieder, J. C. Carey, M. B. Machmuller, B. L. Snoek et al. “Quantifying Global Soil Carbon Losses in Response to Warming.” Nature 540, no. 7631 (November 30, 2016).
[54] Mooney, Chris. “Scientists Have Long Feared This ‘Feedback’ To the Climate System. Now They Say It’s Happening.” The Washington Post (November 30, 2016).
[55] Hausfather, Zeke, and Richard Betts. “Analysis: How ‘Carbon-Cycle Feedbacks’ Could Make Global Warming Worse.” CarbonBrief (April 14, 2020).
[56] American Association for the Advancement of Science 2018 Annual Meeting, “National Climate Assessment Scientists Present Latest Developments.” News conference (no hyperlink available) (February 18, 2018).
[57] US Global Change Research Program. Fourth National Climate Assessment, Chapter 15: Potential Surprises: Compound Extremes and Tipping Elements. From: Fourth National Climate Assessment Volume 1 (2018).
[58] Mora, Camilo, Daniele Spirandelli, Erik C. Franklin, John Lynham, Michael B. Kantar, Wendy Miles, Charlotte Z. Smith, et al. “Broad Threat to Humanity from Cumulative Climate Hazards Intensified by Greenhouse Gas Emissions.” Nature Climate Change 8 (November 19, 2018).
[59] Schwartz, John. “‘Like a Terror Movie’: How Climate Change Will Cause More Simultaneous Disasters.” The New York Times (November 19, 2018).
[60] Motesharrei, Safa, Jorge Rivas, Eugenia Kalnay, Ghassem R. Asrar, Antonio J. Busalacchi, Robert F. Cahalan, Mark A. Cane et al. “Modeling Sustainability: Population, Inequality, Consumption, and Bidirectional Coupling of the Earth and Human Systems.” National Science Review 3 (December 11, 2016).
[61] Sato, Yousuke, Hiroaki Miura, Hisashi Yashiro, Daisuke Goto, Toshihiko Takemura, Hirofumi Tomita, and Teruyuki Nakajima. “Unrealistically Pristine Air in the Arctic Produced by Current Global Scale Models.” Scientific Reports 6 (May 25, 2016).
[62] Wilkinson, Jen. “Current Atmospheric Models Underestimate the Dirtiness of Arctic Air,” EurekAlert! (May 25, 2016).
[63] Liu, Heping, Qianyu Zhang, Gabriel G Katul, Jonathan J Cole, F Stuart Chapin III, and Sally MacIntyre. “Large CO2 Effluxes at Night and During Synoptic Weather Events Significantly Contribute To CO2 Emissions from A Reservoir,” Environmental Research Letters 11, no. 6 (May 24, 2016).
[64] IPCC. Climate Change 2021: The Physical Science Basis, Chapter 7: Clouds and Aerosols. From: Climate Change 2021: The Physical Science Basis (August 9, 2021).
[65] CarbonBrief. “While Global Climate Models Do a Good Job of Simulating the Earth’s Climate, They are Not Perfect” (January 17, 2018).
[66] Highwood, Ellie. “Guest Post: Why Clouds Hold the Key to Better Climate Models.” CarbonBrief (January 1, 2018).
[67] Schneider, Tapio, Colleen M. Kaul, and Kyle G. Pressel. “Possible Climate Transitions from Breakup of Stratocumulus Decks under Greenhouse Warming.” Nature GeoScience 12 (February 25, 2019).
[68] Voosen, Paul. “Use of ‘Too Hot’ Climate Models Exaggerates Impacts of Global Warming.” Science (May 4, 2022).
[69] Hausfather, Zeke, Kate Marvel, Gavin A. Schmidt, John W. Nielsen-Gammon, and Mark Zelinka. “Climate Simulations: Recognize the ‘Hot Model’ Problem.” Nature 605 (May 4, 2022).
[70] Cesana, Grégory V. and Anthony D. Del Genio. “Observational Constraint on Cloud Feedbacks Suggests Moderate Climate Sensitivity.” Nature Climate Change 11 (February 15, 2021).
[71] Myers, Timothy A., Ryan C. Scott, Mark D. Zelinka, Stephen A. Klein, Joel R. Norris, and Peter M. Caldwell. “Observational Constraints on Low Cloud Feedback Reduce Uncertainty of Climate Sensitivity.” Nature Climate Change 11 (May 13, 2021).
[72] Ceppi, Paulo, and Peer Nowack. “Observational Evidence That Cloud Feedback Amplifies Global Warming.” Proceedings of the National Academy of Sciences 118, no. 30 (July 27, 2021).
[73] Harvey, Chelsea. “Clouds May Speed up Global Warming.” Scientific American (July 26, 2021).
[74] Hausfather, Zeke, Henri F. Drake, Tristan Abbott, and Gavin A. Schmidt. “Evaluating the Performance of Past Climate Model Projections.” Geophysical Research Letters 47, no. 1 (December 4, 2019).
[75] Meredith, Dennis. “Please Explain: Training Scientists to Be Better Communicators.” Chronicle of Higher Education (May 16, 2010).
[76] Climate Science Legal Defense Fund. Resources for Scientists.
[77] Mann, Michael E., Raymond S. Bradley, and Malcolm K., Hughes. “Global-Scale Temperature Patterns and Climate Forcing Over the Past Six Centuries.” Nature 392 (April 23, 1998).
[78] Mann, Michael. “I’m A Scientist Who Has Gotten Death Threats. I Fear What May Happen under Trump.” The Washington Post (December 16, 2016).
[79] Climate Science Legal Defense Fund. “Perspectives of Scientists Who Become Targets: Michael Mann” (July 20, 2017).
[80] McKibben, Bill. “Embarrassing Photos of Me, Thanks to My Right-Wing Stalkers.” The New York Times (August 5, 2016).
[81] Hayhoe, Katharine. Saving Us: A Climate Scientist’s Case for Hope and Healing in a Divided World. Simon & Schuster, 2021.
[82] Gleick, Peter. “From Scientists to Policymakers: Communicating on Climate, Scientific Integrity, and More.” Significant Figures (December 1, 2016).
[83] National Science Board. Science and Technology: Public Attitudes and Understanding. From: Science & Engineering Indicators 2016 (2016).
[84] Funk, Cary and Lee Rainie. “AAAS Scientists’ Views on the Scientific Enterprise.” Pew Research Center (January 29, 2015).
[85] Rainie, Lee, Cary Funk, and Monica Anderson. “Scientists’ Views: Most Approve of Active Role in Public Debates about Science and Technology.” Pew Research Center (February 15, 2015).
[86] March for Science website.
[87] Niemeier, Ulrike, and Simone Tilmes. “Sulfur Injections for a Cooler Planet.” Science 357, no. 6348 (July 21, 2017).
[88] ResponsibleScientists.org. “An Open Letter Regarding Climate Change From Concerned Members of the US National Academy of Sciences.” (September 20, 2016).
[89] Center for Research on Environmental Decisions. The Psychology of Climate Change Communication (October 2009).
[90] Committee on the Science of Science Communication, National Academies of Sciences, Engineering, and Medicine. Communicating Science Effectively: A Research Agenda (December 13, 2016).
[91] Nyhan, Brendan. “Why the Backfire Effect Does Not Explain the Durability of Political Misperceptions.” Proceedings of the National Academy of Sciences 118, no. 15 (April 13, 2021).
[92] Freise, Amanda. “It's Time for Scientists to Stop Explaining So Much.” Scientific American (July 19, 2016).
[93] Kahan, Dan M., Ellen Peters, Maggie Wittlin, Paul Slovic, Lisa Larrimore Ouellette, Donald Braman, and Gregory Mandel. “The Polarizing Impact of Science Literacy and Numeracy on Perceived Climate Change Risks.” Nature Climate Change 2 (May 27, 2012).
[94] American Association for the Advancement of Science. Office of Government Relations.
[96] American Geophysical Union. Share and Advocate for Earth and Space Science.
[97] Union of Concerned Scientists. The Science Network Workshop Series.
[98] Risbey, James S. “The New Climate Discourse: Alarmist or Alarming.” Global Environmental Change 18, no. 1 (February 2008).
[99] McGuire, Bill. Hothouse Earth: An Inhabitant’s Guide. Icon Books (2022).
[100] Bradshaw, Corey J. A., Paul R. Ehrlich, Andrew Beattie, Gerardo Ceballos, Eileen Crist, Joan Diamond, Rodolfo Dirzo et al. “Underestimating the Challenges of Avoiding a Ghastly Future,” Frontiers in Conservation Science (January 13, 2021).
[101] Ripple, William J., Christopher Wolf, Thomas M. Newsome, Jillian W. Gregg, Timothy M. Lenton, Ignacio Palomo, Jasper A. J. Eikelboom et al. “World Scientists’ Warning of a Climate Emergency 2021.” BioScience 71, no. 9 (July 28, 2021).
[102] Hassol, Susan. “Improving How Scientists Communicate About Climate Change,” EOS 89, no. 11 (March 11, 2008).
[103] Somerville, Richard, and Susan Joy Hassol. “Communicating the Science of Climate Change.” Physics Today (October 2011).
[104] Center for Research on Environmental Decisions. The Psychology of Climate Change Communication (October 2009).
[105] IPCC. Climate Change 2021: The Physical Science Basis, Summary for Policymakers From: Climate Change 2021: The Physical Science Basis (August 7, 2021).
[106] IPCC. Chapter 1: Framing, Context and Methods From: Climate Change 2021: The Physical Science Basis (August 7, 2021).
[107] Budescu, David, Stephen Broomell, and Han-Hui Por. “Effective Communication of Uncertainty in the IPCC Reports.” Climatic Change 13, no. 2 (November 23, 2011).
[108] Plass, Gilbert N. “The Carbon Dioxide Theory of Climatic Change.” Tellus 8, no. 2 (May 1956).
[109] Broecker, Wallace. “Climatic Change: Are We on the Brink of a Pronounced Global Warming?” Science 189, no. 4201 (August 8, 1975).
[110] Ehrlich, Paul R. and Anne H. Ehrlich. “Can a Collapse of Global Civilization be Avoided?” Proceedings of the Royal Society B (January 9, 2013).
[111] Holdren, John P. “Global Climate Disruption What Do we Know? What Should we Do?” Speech at Harvard Kennedy School (November 6, 2007).
[112] Pimm, Stuart L. “Climate Disruption and Biodiversity.” Current Biology 19 (July 28, 2009).
[113] Weyler, Rex. “Global Heating Revisited.” Greenpeace International (January 5, 2013).
d to underestimate the fossil-fuel particulate emissions that reach the Arctic. Understanding these emissions is important because carbon soot from burning fuels and farm waste lofts high into the atmosphere, spreading worldwide, including in the Arctic. Such soot increases atmospheric temperatures by absorbing sunlight and also coats the white Arctic ice with a layer of heat-absorbing grime, increasing melting.
Researchers led by Yousuke Sato developed an improved model of soot’s effects that will lead to more realistic climate simulations.[59] However, he said, but while the new approach “reduced the underestimation, it did not completely eliminate it.”[60]
Researchers must also adjust their models to accommodate new field measurements—for example, of CO2 emissions from lakes and waterways. Models currently calculate such emissions indirectly using physical laws. However, when researchers took actual measurements of emissions over a reservoir, they found that emissions may be up to 40% greater than previously believed—meaning that models miss a significant source of CO2.[61]
Models have also proven deeply inadequate in assessing how clouds affect global heating. As the 2021 IPCC report on the physical basis put it:
Clouds and aerosols continue to contribute the largest uncertainty to estimates and interpretations of the Earth’s changing energy budget. . . . Climate models are incorporating more of the relevant processes than at the time of [the 2014 report], but confidence in the representation of these processes remains weak.[62]
Indeed, climate modeler Ellie Highwood has dubbed clouds “infernally infuriating.”[63] [64]
Some studies suggest that clouds cool the Earth. One modeling study concluded that future high CO2 levels expected over the next century could cause cooling stratocumulus clouds to dissipate, triggering a massive 8°C heating over that caused by greenhouse gases alone. Clouds would only reform once CO2 levels drop, which could take centuries.[65]
On the other hand, studies based on actual measurements of cloud characteristics concluded that clouds amplify global heating because warming temperatures make the Earth cloudier, triggering a feedback effect.[66] [67] [68] [69]
Even given the shortcomings of global climate models, they have done a good job so far of tracking the inexorable rise of global temperatures.[70] However, as the standard disclaimer on financial documents puts it, “past performance is no guarantee of future results.”
Earth has entered a new regime rife with catastrophic peril.
Putting you in a climate scientist’s shoes
Imagine you’re a climate scientist. Your research tells you without a doubt that the world faces ecological ruin if governments fail to take drastic steps to avoid climate disruption. You feel a moral obligation to advocate for action, but you also face daunting barriers to that advocacy.
For one thing, fostering your career takes huge amounts of time. You must write extensive proposals to win funding for your research. Because your career is “publish or perish,” you must write detailed scientific papers to share your findings with colleagues.
You also must analyze data, attend seminars and conferences, manage experiments, teach classes, mentor students, attend administrative meetings, and review scientific papers for journals.
You may mount field expeditions to measure tree rings, take cores of glacial ice, sample ocean water, probe ocean currents, explore coral reefs, or chip at sedimentary rock layers.
On top of all that, keeping your sanity requires a social life, family time, and recreation.
Besides experiencing these time crunches, you are not trained for communication. As mentioned earlier, unlike doctors, lawyers, and politicians, you don’t need to explain things to the public as part of your profession. In fact, your profession lacks a culture of explanation, in which communicating with laypeople would be integral to your training and practice. You are accustomed to teaching to an essentially captive audience of students—very different from persuasively explaining to an audience for whom listening to you is entirely elective. And that audience may not agree with your interpretation of the facts, or even the facts themselves.[71]
You have likely never taken a course in communication, so you aren’t practiced in the arts of persuading audiences, telling engaging stories, or creating vivid metaphors.
You are milquetoasted
When you do communicate with the public, your job situation forces you to be “milquetoasted”—muting your voice and moderating your opinions.
You can be summarily fired for speaking out if you work for a private company, such as a government contractor. If you are a government or public university scientist, you must take great care with any public advocacy, scrupulously separating it from your work. For example, the Climate Science Legal Defense Fund (CSLDF) cautions such scientists to:
Even by observing such precautions, if you are a government scientist, you risk your career by speaking out—especially given that your agency is headed by a political appointee. Public advocacy can lead to budget cuts, reassignment, and/or your projects being relegated to a back burner.
Even if you work for a university, your academic freedom only goes so far. If you don’t have tenure, you risk your career because of the “inconvenience” your activism might present for your institution. After all, universities depend for support on donors, corporate partners, alumni, and parents; and these probably include people who deny the reality of climate disruption.
Even if donors and corporations do accept climate science, they may be reluctant to invest in research by an outspoken climate advocate who might violate confidentiality agreements. And by speaking out, you may be seen as violating a university culture that values public reserve.
If you find yourself in legal hot water, your university’s lawyers do not necessarily have your best interests in mind. After all, their job is to defend the institution, not its employees. The CSLDF advises you to hire your own lawyer if you find yourself subject to threats, congressional inquiries, subpoenas, or record requests.
For public universities, politics adds another element of doubt about whether the university will protect scientist-advocates. A Board of Regents may renounce, or at least fail to support, an activist scientist.
You must also consider more than just your own career in deciding whether to advocate. You likely work in a collaborative team with scientists inside and outside your institution. Your activism could reflect negatively on the team and damage any collaborative projects. Even your collaborators at private institutions protected from state government interference they may still fear that their association with you will leave them vulnerable to such troublesome eventualities as having their emails made public.
You work in a climate of fear
You could even face personal hazards just for publishing your work in scientific journals, as has climatologist Michael Mann. He is co-author of a famous scientific paper showing that global temperatures are soaring upward, like the blade of a hockey stick.[73] Because of his “hockey stick graph,” he has received death threats against him and his family, and even experienced the horror of opening an envelope full of a white powder that could have been anthrax. It turned out to be cornstarch.[74] He has also fought a protracted legal battle against climate science de-nihilists seeking to obtain his emails.[75]
Environmental activist Bill McKibben has found himself stalked by videographers from right-wing organizations and his stored university archives copied.[76] Wrote climatologist Katharine Hayhoe in her book Saving Us:
Communist, libtard, lunatic; Jezebel, liar, and whore; high priestess of the climate cult and handmaiden of the Antichrist, I’ve been called it all . . . . Nearly every day I receive angry, even hate-filled, objections to the work I do as a climate scientist: tweets, Facebook comments, even the occasional phone call or handwritten letter. “You make your living off climate hysteria,” reads one tweet. A multipage, single-spaced manifesto in my university mailbox starts, “You Lie!!!!” A Facebook message screams, “Get aborted you human-hating c***.[77]
Even as a scientist as you endure such threats and persecution, you are not particularly politically influential, which may discourage you from advocacy. “Scientists have little political power: they are small in numbers, rarely sufficiently financially wealthy to use money as a political tool, and often politically naïve or poorly networked,” wrote climate/environment scientist and communicator Peter Gleick.
Climate scientists face unfriendly legislators when testifying at hearings, wrote Gleick: “The hostility of some policymakers to scientific evidence and information—especially the federal level—has . . . turned them into events more akin to political theater than educational and informational opportunities.”[78]
And as a climate scientist, your public voice has been muted by poor mainstream media coverage. For example, science makes up only a couple of percent of the news coverage in traditional media, found a Project for Excellence in Journalism study.[79]
They lack the advocacy gene
Besides such daunting personal barriers to advocacy, scientists possess a natural disinclination to involve themselves in messy political controversy. While they readily debate scientific facts and findings, public political debate is not as built into their DNA.
Nor do scientists like to “perform” before an audience, using what they may see as unseemly theatrics to compellingly make their case—even though such techniques are fundamental to the psychology of effective communication. So, they prefer to write reports, letters, and op-eds, rather than giving passionate speeches, lobbying, or holding news conferences.
Climate scientist John Abraham expressed this reluctance, writing that “some of my colleagues are understandably skittish about advocacy and avoid it religiously. Others, like myself, will advocate on occasion but be very clear about when the scientist hat comes off and the advocate hat is put on.”[80]
Of course, Abraham ignores the fact that, because he wears a “scientist hat,” his advocacy carries more weight. He fails to perceive his advocacy as a natural, legitimate extension of his science and the insight it brings.
Despite scientists’ ambivalence about advocacy, they are generally positively disposed toward public communication. A survey of scientist members of the American Association for the Advancement of Science found that an impressive 87% agreed with the statement, “Scientists should take an active role in public policy debates about issues related to science and technology.” However, 56% consider media coverage of their research unimportant.[81] [82]
Scientists’ commitment to advocacy may well be increasing due to the rising urgency of climate disruption and an antiscience political climate. For example, the March for Science events have certainly been salutary and praiseworthy events.[83] That said, it’s worth noting that it took the presidency of Donald Trump and arguably the most antiscience administration in American history to prompt scientists to leave their laboratories and demonstrate.
Perhaps the marches will signal an upswing in scientists’ political involvement. But it is doubtful that they can mount the kind of well-funded lobbying characteristic of corporate lobbies. And it is highly unlikely that they will ever overcome the fundamental barriers to public advocacy laid out in this section.
They are cool-blooded
We humans are emotional creatures, which has served our species well. While our intellect has fueled our enormous success as a species, our emotions are the spark that ignites our drive for survival. Scientists, however, tend to see themselves, wrongly, as purely intellectual creatures, whose principal motivation is cool, emotion-free curiosity.
True, scientists are not most rewarded in their careers for passionate advocacy of their theories, but for dispassionate analytical communication of their findings. Their scientific papers are understated, dry, and conservative in vernacular—sometimes to the point of absurdity.
An example of such absurdly low-key prose is a description of a geoengineering proposal to reduce global temperatures by injecting sulfur into the atmosphere. [84] The scheme by Ulrike Niemeier and Simone Tilmes is distinct in its unworkability and peril. In their deadpan prose, the authors cite “uncertain” aspects that include the level of injection and distribution patterns.
However, the kicker comes when they dryly cite that injections would have to continue for 160 years, require spewing eight million metric tons of sulfur a year into the atmosphere, from 6,700 airplane flights a day, at a cost of $20 billion a year. The authors’ ability to cite such statistics without exclaiming the scheme’s foolhardiness is breathtaking.
Scientists’ public documents are similarly understated, often to the point of vapidity. A prime example is an open letter from members of the National Academy of Sciences after Donald Trump’s nomination. The letter was dry, factual, and bloodless, despite the outrageousness of Trump’s claim that climate disruption was a hoax and his threat to withdraw from the Paris Agreement on climate change.
For one thing, the Academy letter was not from “shocked,” “dismayed,” or “astonished” scientists, but from “concerned members” of the Academy. And it only called climate disruption a “real, serious, and immediate problem” that “poses significant risks.” The letter blandly declared that “it is of great concern [emphasis added]”—and not even of “greatest” concern—that Trump advocated US withdrawal from the Paris Accord.[85] You can imagine how little impact this letter had amid the high emotions of the campaign.
Scientists’ tendency to tamp down passion in their communications has compromised their role as a source of accurate information because true accuracy requires emotional context. Scientists are fact-driven, while the public is driven more often by emotion, and politicians by political calculation, with facts often taking a back seat.
Back in 2009, the authors of The Psychology of Climate Change Communication leveled a charge that, in my experience, is still true today:
Many of the highly publicized graphs and charts showing global climate change data . . . fail to inspire a sense of urgency in many audiences. They do not help convey the deep concern scientists have that efforts to abate and adapt to climate change are a near-term necessity if humanity is to avert the worst effects.[86]
Scientists tend to be similarly passionless when they give talks to lay audiences. As one who has sat through a multitude of their lay-level talks, I can attest that scientists are all too often lackluster performers—low-key, low-energy, and data-spouting. Unlike, say, lawyers and politicians, they shy away from using the dynamic stagecraft that makes for effective presentations. This lack of emotion may arise from their teaching role, where they see their primary job as imparting facts to students, not engaging their interest. But it certainly arises from scientists’ lack of an explanatory culture.
They cling to the deficit model
Scientists tend to be “factivists”—enamored of the belief that they need only feed their audiences facts, and those audiences will readily adopt the rational view of such topics as climate disruption. However, reaching the public and policymakers means not only transmitting scientific information, but interpreting its policy implications and advocating for that interpretation—even, God forbid, showing passion.
In their communication, scientists have long embraced a theory called the “deficit model.” The model holds that correcting wrong-headed thinking only requires remedying people’s lack of information.
However, this “most widely held, and simplest model of what audiences need from science communication . . . is wrong,” as was so pithily expressed in the publication Communicating Science Effectively: A Research Agenda.[87] The authors wrote that research on communication:
Shows that audiences may already understand what scientists know but, for diverse reasons, do not agree or act consistently with that science. . . . People rarely make decisions based only on scientific information; they typically also take into account their own goals and needs, knowledge and skills, and values and beliefs.
Another problem with the deficit model is that corrective information quickly fades, concluded studies by political scientists Brendan Nyhan and colleagues. They and other researchers conducted experiments testing the durability of corrective information like fact checks. They found that the corrections “frequently seem to decay or be overwhelmed by cues from elites and the media promoting more congenial but less accurate claims.”[88]
The irony is that data-loving scientists—in uncritically embracing the deficit model—ignore data from psychological studies disproving the model’s effectiveness. As microbiologist Amanda Freise wrote, “the reluctance of some scientists to accept the failure of the deficit model approach indicates that pure information isn't enough to convince them, either—otherwise, they would acknowledge the research and look for new ways to talk to the public.”[89]
Studies have conclusively shown that more information does not lead to “enlightenment.” When psychologists measured the science literacy of 1,540 people, then asked them for their opinions about climate disruption, the psychologists found that political beliefs tended to trump knowledge. Conservative subjects who knew the most about science tended to believe that climate change posed the lowest risk. The researchers concluded that facts were trumped by people’s personal interest “in forming beliefs in line with those held by others with whom they share close ties.”[90]
Many science groups do understand that scientists need to go beyond mere data transmission. The American Association for the Advancement of Science operates an Office of Government Relations that helps scientist advocate for research.[91] And the COMPASS science communication program trains scientists to build advocacy into their communication.[92] The American Geophysical Union offers its members resources and training to enable them to advocate for Earth and space science.[93]
The Union of Concerned Scientists recognizes the inadequacy of mere data transmission by offering workshops on communicating and advocating. The workshops include how to influence decision-makers, talk with the media, and work with communities.[94]
Even given such efforts, the erroneous deficit model will continue to periodically rise, zombie-like, to stalk the scientific community. The hallmark of its undead presence will be naïve declarations by scientists that they seek to “educate” and/or “inform” the public and/or policymakers to enlighten them about the truth of a scientific theory—whether it is climate disruption, evolution, or another partisan issue.
They are wishy-washy worded
Just as scientists’ communications are milquetoasted, so have been the words they have used in their prose. In choosing descriptive words, climate scientists in the past tended to downplay the seriousness of climate disruption, according to climatologist James Risbey.
In a 2008 article, he charged that climatologists tended to dismiss as “value-laden” such terms as “catastrophic,” “rapid,” “urgent,” “irreversible,” “chaotic,” and “worse than previously thought”—even though climate change can be legitimately described as such. At the same time, scientists did not label as value-laden milder terms that are just as subjective, Risbey wrote.
“This asymmetry in use of the charge of ‘value-loading’ is a form of scientific reticence and weakens scientific communication in the face of actual threats to the public,” he wrote.[95]
A classic example of more recent wishy-washy wording was the phrase “Hothouse Earth,” used in a research paper by Will Steffen and colleagues to describe the risk of self-reinforcing feedbacks on global temperatures.[96] The phrase is timid, in that a hothouse is a heated building meant to grow plants out of season—in other words, a comfortable environment. The phrase “Hellscape Earth” would more aptly describe the true catastrophic impact of global heating.
As alarm over climate disruption has grown, some scientists have finally begun using appropriately urgent language to describe its dangers. In 2020, one group warned of “a ghastly future of mass extinction, declining health, and climate-disruption upheavals.”[97] And in 2021, a group of more than 14,000 scientists warned of a “climate emergency,” citing “mounting evidence that we are nearing or have already crossed tipping points associated with critical parts of the Earth system.”[98]
However, this evolution in language is, arguably, too little, too late.
They are word-deaf
Scientists are also “word-deaf,” tending to resort to arcane jargon when speaking to nonscientists. Climate communicator Susan Hassol counsels using more lay-friendly substitutes for such jargon, like “human-caused” instead of “anthropogenic” and “time” instead of “temporal.” She wrote:
Saying human activity “contributes” to global warming makes it sound like human activity might be only a minor contributor. It would be more accurate to say “most of the warming” . . . Avoid using the word “debate” in connection with climate change . . . try something like “the urgent challenge of human-induced climate disruption,” rather than “climate debate.”[99]
The word “uncertainty” is among the most misleading such words in climate science—to the public anyway. Using the term severely hinders accurate communication to lay audiences. They see the word as denoting ignorance rather than merely a statistical term denoting the range of possible values of a measurement.
For example, a summary for policymakers of the 2021 IPCC report used the words “uncertain,” “uncertainty,” or “uncertainties” some 16 times in its 41 pages.[100]
The IPCC report said that, even though wide uncertainty ranges likely encompassed true values of climate effects, “wide intervals were interpreted by lay people as implying subjective uncertainty or lack of knowledge on the part of scientists.”[101]
IPCC scientists failed to communicate effectively the risk probabilities of climate disruption effects, found psychologists. They surveyed lay-level respondents on their interpretation of risk-communicating sentences from the IPCC reports. The IPCC reports explicitly defined “very likely” to mean a greater than 90% probability, but the psychologists found that most of the respondents took “very likely” to mean down to 65% or less.[102]
This critical perception gap means that policymakers could well perceive the scientific evidence for global heating as weaker than it really is.
Scientists’ terminal terminological error
The uncritical adoption of the terms “climate change” and “global warming” has been by far the most egregious and damaging examples of scientists’ word deafness. Both terms were introduced in early scientific papers and went on to be adopted as de facto standards. The term “climatic change” apparently appeared for the first time in a 1956 paper by physicist Gilbert Plass.[103] And “global warming” was popularized by a 1975 paper by geochemist Wallace Broecker.[104]
Both these terms reflect scientists’ penchant for bland understatement, as well as a lack of appreciation of the wider impact of their words. And ironically—given scientists’ pride in using precise technical terms—both phrases are imprecise.
“Climate change” is a neutral term that fails to reflect its profound global impact. The innocuous word “change” seems to signify a natural, evolutionary process, rather than an abrupt alteration. Its adoption as the default term has certainly given climate disruption de-nihilists an opening big enough to drive a tanker truck through. They often use the term to make the invalid point that the climate has always been “changing.”
More accurate and informative is the term “climate disruption.” It conveys the idea of an unnatural global climatic discontinuity. Certainly, de-nihilist could not argue that the climate has always been “disrupting.”
The term “climate disruption” has been used occasionally by such distinguished scientists as Paul and Anne Ehrlich, John Holdren, and Stuart Pimm. [105] [106] [107] However, it is not in widespread usage.
The term “global warming” is just as misleading. It evokes a benign, even pleasant, process, rather than the existential threat it really is. For example, we “warm” ourselves to feel more comfortable when we are cold. We give people a warm welcome because we have a warm personality.
This book uses “global heating,” as have such groups as Greenpeace to more accurately describe the dangerous temperature rise from increased greenhouse gases.[108]
By perpetuating the inaccurate terms “climate change” and “global warming,” scientists inadvertently sabotaged their own efforts to convey the urgency of action to prevent ecological disaster.
As a result of the shortcomings enumerated in this section, scientists’ voices have been tragically muted on climate disruption. They have failed to convey the peril of the looming climate pandemic.
References
[1] National Oceanographic and Atmospheric Administration, NOAA Ship Ronald H. Brown, undated.
[2] AntarcticGlaciers.org, “Ice Core Basics.”
[3] National Academy of Sciences. “Climate Modeling 101,” undated.
[4] Leiserowitz, Anthony, et al., “Majorities of Americans Trust Climate Scientists, Family and Friends,” Climate Change in the American Mind, Yale Program on Climate Change Communication and George Mason University Center for Climate Change Communication, March 2015.
[5] Pew Research Center, “The Politics of Climate,” October 4, 2016.
[6] Revkin, Andrew C., “Climate Experts Tussle Over Details. Public Gets Whiplash,” The New York Times, July 29, 2008.
[7] Weart, Spencer, The Discovery of Global Warming: Rapid Climate Change, January 2017.
[8] Voosen, Paul, “Joint Research Push Targets Fast-Melting Antarctic Ice,” Science, Vol. 354, No. 6309. September 14, 2016.
[9] US Environmental Protection Agency, Inventory of US Greenhouse Gas Emissions and Sinks: 1990-2014, April 15, 2016.
[10] Mooney, Chris, “The US Has Been Emitting a Lot More Methane Than We Thought, Says EPA,” The Washington Post, April 15, 2016.
[11] Brandt, A.R., et al., “Methane Leaks from North American Natural Gas Systems,” Science, Vol. 343, February 14, 2014.
[12] Alvarez, Ramón A., et al., “Assessment of Methane Emissions from the U.S. Oil and Gas Supply Chain,” Science, June 21, 2018.
[13] Harrison, John, et al., “Greenhouse Gas Emissions from Reservoir Water Surfaces: A New Global Synthesis,” BioScience. October 4, 2016.
[14] Cornwall, Warren, “Hundreds of New Dams Could Mean Trouble for Our Climate,” Science, September 28, 2016.
[15] Coral Bleaching Task Force, ARC Centre of Excellence for Coral Reef Studies, James Cook University, “Coral Bleaching Taskforce Documents Most Severe Bleaching on Record,” March 29, 2016.
[16] Urban, M.C., et al., “Improving the Forecast for Biodiversity under Climate Change,” Science, Vol. 353, No. 6304, September 9, 2016.
[17] Shepherd, Theodore G., “Effects of a Warming Arctic,” Science, Vol. 353, No. 6303, September 2, 2016.
[18] Parazoo, Nicholas C., et al., “Detecting Regional Patterns of Changing A Process for Capturing CO2 from the Atmosphere Flux in Alaska,” Proceedings of the National Academy of Sciences, Vol. 113, No. 28, July 12, 2016.
[19] Rasmussen, Carol, “Growing Arctic Carbon Emissions Could Go Unobserved,” NASA Global Climate Change News, June 27, 2016.
[20] Dunlap, Riley E. and Brulle, Robert J., eds., Climate Change and Society: Sociological Perspectives, Oxford University Press, 2015.
[21] Carleton, Tamma A., and Hsiang, Solomon M., “Social and Economic Impacts of Climate,” Science Vol 353, No. 6304. September 9, 2016.
[22] Zaringhalam, Maryam, “Failure in Science Is Frequent and Inevitable—and We Should Talk More about It,” Scientific American, June 30, 2016.
[23] Is This How You Feel? Website.
[24] Anderson, Kevin, “Duality in Climate Science,” Nature Geoscience, Vol. 8, October 12 2015.
[25] Hansen, James, “Dangerous Scientific Reticence,” Earth Institute, Columbia University, March 24, 2016.
[26] Hansen, James, “Congressional Testimony of Dr. James Hansen,” June 23, 1988.
[27] Climate Science, Awareness and Solutions, Earth Institute, Columbia University, website.
[28] Lewandowsky, Stephan, et al., “Seepage: Climate Change Denial and Its Effect on the Scientific Community,” Global Environmental Change, Vol 33, July 2015.
[29] Oreskes, Naomi; Oppenheimer, Michael; and Jamieson, Dale, “Scientists Have Been Underestimating the Pace of Climate Change,” Scientific American, August 19, 2019.
[30] Brysse, Keynyn, et al., “Climate Change Prediction: Erring on the Side of Least Drama?” Global Environmental Change, Vol. 23, No. 1, February 2013.
[31] Schwartz, John, “Will We Survive Climate Change?” The New York Times, November 19, 2018.
[32] Myers, Krista F., et al., “Consensus Revisited: Quantifying Scientific Agreement on Climate Change and Climate Expertise among Earth Scientists 10 Years Later,” Environmental Research Letters, Vol. 16, No. 10, October 20, 2021.
[33] Leiserowitz, Anthony, et al., Climate Change in the American Mind, March 2021, Yale Program on Climate Change Communication and George Mason University Center for Climate Change Communication, March 2021.
[34] EurekAlert, “Thirty-One Top Scientific Societies Speak With One Voice on Global Climate Change,” June 28, 2016.
[35] Discover Supercomputer: NCCS’ Primary Computing Platform, website.
[36] CarbonBrief, “Q&A: How Do Climate Models Work?” January 15, 2018.
[37] Pielke, Roger Jr. and Ritchie, Justin, “How Climate Scenarios Lost Touch with Reality,” Issues, Vol37, No. 4, Summer 2021.
[38] Hausfather, Zeke and Peters, Glen P., “Emissions—the ‘Business as Usual’ Story Is Misleading,” Nature, January 29, 2020.
[39] Hausfather, Zeke, “Explainer: How ‘Shared Socioeconomic Pathways’ Explore Future Climate Change,” Carbon Brief, April 19, 2018.
[40] Jamieson, Kathleen Hall; Kahan, Dan; and Scheufele, Dietram E., “Introduction: Why Science Communication?” in Jamieson, Kathleen Hall; Kahan, Dan; and Scheufele, Dietram E., eds, The Oxford Handbook of the Science of Science Communication, Oxford University Press, June 16, 2017.
[41] Voosen, Paul, “Climate Scientists Open up Their Black Boxes to Scrutiny,” Science, Vol. 354, No. 6311, October 28, 2016.
[42] Oppenheimer, Michael, et al., “Expert Judgement and Uncertainty Quantification for Climate Change,” Nature Climate Change, Vol. 6, April 27, 2016.
[43] Kelly, Morgan, “New Tool Puts a Consistent Value on Experts' Uncertainty on Climate Change Models,” Princeton University News, April 27, 2016.
[44] NASA, “Climate Change: How Do We Know?” website
[45] Hawkins, Ed, “Reconciling Estimates of Climate Sensitivity,” Climate Lab Book blog, June 27, 2016.
[46] Tierney, Jessica E., et al., “Past Climates Inform Our Future,” Science, Vol. 370, No. 6517, November 6, 2020.
[47] US Global Change Research Program, Fourth National Climate Assessment, Executive Summary, 2018.
[48] Drijfhout, Sybren, “What Climate ‘Tipping Points’ are—and How They Could Suddenly Change Our Planet,” The Conversation, December 9, 2015.
[49] IPCC, Climate Change 2021: The Physical Science Basis. Chapter 9: Ocean, Cryosphere, and Sea Level Change, August 9, 2021.
[50] Zandt, Michiel H.in 't; SusanneLiebner; and Welte, Cornelia U., “Roles of Thermokarst Lakes in a Warming World,” Trends in Microbiology, Vol. 28, No. 9, September 2020.
[51] Schneider von Deimling, T., et al., “Observation-Based Modelling of Permafrost Carbon Fluxes with Accounting for Deep Carbon Deposits and Thermokarst Activity,” Biogeosciences, Vol. 12, 2015.
[52] Crowther, T.W., et al., “Quantifying Global Soil Carbon Losses in Response to Warming,” Nature, Vol. 540, No. 7631, November 30, 2016.
[53] Mooney, Chris, “Scientists Have Long Feared This ‘Feedback’ To the Climate System. Now They Say It’s Happening,” The Washington Post, November 30, 2016.
[54] Hausfather, Zeke and Betts, Richard, “Analysis: How ‘Carbon-Cycle Feedbacks’ Could Make Global Warming Worse,” CarbonBrief, April 14, 2020.
[55] American Association for the Advancement of Science 2018 Annual Meeting, “National Climate Assessment Scientists Present Latest Developments,” News Conference, February 18, 2018.
[56] US Global Change Research Program, Fourth National Climate Assessment, Chapter 15, 2018.
[57] Schwartz, John, “‘Like a Terror Movie’: How Climate Change Will Cause More Simultaneous Disasters,” The New York Times, November 19, 2018.
[58] Motesharrei, Safa, et al., “Modeling Sustainability: Population, Inequality, Consumption, and Bidirectional Coupling of the Earth and Human Systems,” National Science Review, Vol. 3, December 11, 2016.
[59] Sato, Yousuke, et al., “Unrealistically Pristine Air in the Arctic Produced by Current Global Scale Models,” Scientific Reports, Vol. 6, May 25, 2016.
[60] Wilkinson, Jen, “Current Atmospheric Models Underestimate the Dirtiness of Arctic Air,” EurekAlert, May 25, 2016.
[61] Liu, Heping, et al., “Large A Process for Capturing CO2 from the Atmosphere Effluxes at Night and during Synoptic Weather Events Significantly Contribute To CO2 Emissions from a Reservoir,” Environmental Research Letters, Vol. 11, No. 6, May 24, 2016.
[62] IPCC, AR6 Climate Change 2021: The Physical Science Basis, Chapter 7: Clouds and Aerosols, August 9, 2021
[63] CarbonBrief, “While Global Climate Models Do a Good Job of Simulating the Earth’s Climate, They are Not Perfect,” January 17, 2018.
[64] Highwood, Ellie, “Guest Post: Why Clouds Hold the Key to Better Climate Models,” CarbonBrief, January 1, 2018.
[65] Schneider, Tapio, et al., “Possible Climate Transitions from Breakup of Stratocumulus Decks under Greenhouse Warming,” Nature Geoscience, Vol. 12, February 25, 2019.
[66] Cesana, Grégory V. and Del Genio, Anthony D., “Observational Constraint on Cloud Feedbacks Suggests Moderate Climate Sensitivity,” Nature Climate Change, Vol. 11, February 15, 2021.
[67] Myers, Timothy A., et al., “Observational Constraints on Low Cloud Feedback Reduce Uncertainty of Climate Sensitivity,” Nature Climate Change, Vol. 11, May 13, 2021.
[68] Ceppi, Paulo and Nowack, Peer, “Observational Evidence That Cloud Feedback Amplifies Global Warming,” Proceedings of the National Academy of Sciences, Vol. 118, July 27, 2021.
[69] Harvey, Chelsea, “Clouds May Speed up Global Warming,” Scientific American, July 26, 2021.
[70] Hausfather, Zeke, “How Well Have Climate Models Projected Global Warming?” Carbon Brief, May 10, 2017.
[71] Meredith, Dennis, “Please Explain: Training Scientists to Be Better Communicators,” Chronicle of Higher Education, May 16, 2010.
[72] Climate Science Legal Defense Fund, Resources for Scientists, website.
[73] Mann, Michael E., Bradley, Raymond S.; and Hughes, Malcolm K., “Global-Scale Temperature Patterns and Climate Forcing Over the Past Six Centuries, Nature, Vol. 392, April 23, 1998.
[74] Mann, Michael, “I’m A Scientist Who Has Gotten Death Threats. I Fear What May Happen under Trump,” The Washington Post, December 16, 2016.
[75] Climate Science Legal Defense Fund, “Perspectives of Scientists Who Become Targets: Michael Mann,” July 20, 2017.
[76] McKibben, Bill, “Embarrassing Photos of Me, Thanks to My Right-Wing Stalkers,” The New York Times, August 5, 2016.
[77] Hayhoe, Katharine, Saving Us: A Climate Scientist’s Case for Hope and Healing in a Divided World, Simon & Schuster, 2021.
[78] Gleick, Peter, “From Scientists to Policymakers: Communicating on Climate, Scientific Integrity, and More,” Significant Figures by Peter Gleick, December 1, 2016.
[79] National Science Board, Science & Engineering Indicators 2016, Chapter 7, p. 31.
[80] Abraham, John, “Report Helps Scientists Communicate How Global Warming Is Worsening Natural Disasters,” The Guardian, December 8, 2016.
[81] Funk, Cary and Rainie, Lee, “AAAS Scientists’ Views on the Scientific Enterprise,” Pew Research Center, January 29, 2015.
[82] Rainie, Lee, Funk, Cary, and Anderson, Monica, “Scientists’ Views: Most Approve of Active Role in Public Debates about Science and Technology,” Pew Research Center, February 15, 2015.
[83] March for Science, website.
[84] Niemeier, Ulrike and Tilmes, Simone, “Sulfur Injections for a Cooler Planet,” Science, Vol. 357, No. 6348. July 21, 2017.
[85] ResponsibleScientists.org, “An Open Letter Regarding Climate Change From Concerned Members of the US National Academy of Sciences,” September 20, 2016.
[86] Center for Research on Environmental Decisions, The Psychology of Climate Change Communication, October 2009.
[87] Committee on the Science of Science Communication, National Academies of Sciences, Engineering, and Medicine, Communicating Science Effectively: A Research Agenda, December 13, 2016.
[88] Nyhan, Brendan, et al., “Why the Backfire Effect Does Not Explain the Durability of Political Misperceptions,” Proceedings of the National Academy of Sciences, Vol. 118, No. 15, April 13, 2021.
[89] Freise, Amanda, “It's Time for Scientists to Stop Explaining So Much,” Scientific American, July 19, 2016.
[90] Braman, et al., “The Polarizing Impact of Science Literacy and Numeracy on Perceived Climate Change Risks,” Nature Climate Change, Vol. 2, May 27, 2012.
[91] American Association for the Advancement of Science, Office of Government Relations, website.
[93] American Geophysical Union, Share and advocate for Earth and Space Science website.
[94] Union of Concerned Scientists, The Science Network Workshop Series, website.
[95] Risbey, James S., “The New Climate Discourse: Alarmist Or Alarming,” Global Environmental Change, Vol. 18 No. 1, February 2008.
[96] Steffen, Will, et al., “Trajectories of the Earth System in the Anthropocene,” Proceedings of the National Academy of Sciences, August 6, 2018.
[97] Bradshaw, Corey J. A., et al., “Underestimating the Challenges of Avoiding a Ghastly Future,” Frontiers in Conservation Science, January 13, 2021.
[98] Ripple, William J., et al., “World Scientists’ Warning of a Climate Emergency 2021,” BioScience, July 28, 2021.
[99] Hassol, Susan, “Improving How Scientists Communicate About Climate Change,” EOS, Vol. 89, No. 11, March 11, 2008.
[100] IPCC, Climate Change 2021: The Physical Science Basis, Summary for Policymakers, August 7, 2021.
[101] IPCC, AR6 Climate Change 2021: The Physical Science Basis, Chapter 1: Framing, context, methods, August 9, 2021.
[102] Budescu, David; Broomell, Stephen; and Por, Han-Hui, “Effective Communication of Uncertainty in the IPCC Reports,” Climatic Change, Vol 13, No. 2, November 23, 2011.
[103] Plass, Gilbert N., “The Carbon Dioxide Theory of Climatic Change,” Tellus, Vol 8, No. 2, May 1956.
[104] Broecker, Wallace, “Climatic Change: Are We on the Brink of a Pronounced Global Warming?” Science, Vol. 189, No. 4201, August 8, 1975.
[105] Ehrlich, Paul R. and Ehrlich, Anne H., “Can a Collapse of Global Civilization be Avoided?” Proceedings of the Royal Society B, January 9, 2013.
[106] Holdren, John P., “Global Climate Disruption What Do we Know? What Should we Do?” Speech at Harvard Kennedy School, November 6, 2007.
[107] Pimm, Stuart L., “Climate Disruption and Biodiversity,” Current Biology, Vol. 19, July 28, 2009.
[108] Weyler, Rex, “Global Heating Revisited,” Greenpeace International, January 5, 2013.