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They’re often people of color, young, and from the Northeast.
We are living in the Age of the Big Yikes.
Climate change is widely accepted as both real and happening now. Many Americans hear news about global warming at least once a week and though projections aren’t as dire as they once were, they’re still extremely not great. Half of Americans have been “personally affected” by climate change, and of those, 54% say they have experienced a “reduced quality of life due to weather extremes,” a recent survey of 1,000 U.S. adults by Heatmap and Benenson Strategy Group found. Overall, two-thirds of Americans (65%) worry about what climate change will mean for them personally — a common anxiety that the Los Angeles Times has deemed “a normal response to an abnormal situation.”
A smaller but still substantial subset of Americans — around 15% — further self-identifies as having mental health problems stemming from the effects of climate change, including “anxiety and stress” about current and future events, PTSD, depression, substance abuse, and loneliness and isolation, the Heatmap Climate Poll shows. The distress, perhaps somewhat surprisingly, isn’t strongly determined by education level, income, or even ideology: A full quarter of those who say they have mental health problems due to climate change are Republicans (25%, compared to 31% of Democrats and 34% of independents).
The effects of climate change on mental health have historically been studied with a focus on young people, and it’s true that younger adults in Heatmap’s survey were also the ones more likely to describe mental health problems from climate effects. But what else can we learn about those who suffer mental and emotional ramifications from our changing world?
Unsurprisingly, and consistent with prior research, young adults are overwhelmingly the ones most anxious about climate change. Nearly half of 18-to-34-year-olds who’ve experienced climate change firsthand described having mental health problems as a result — a response that was much smaller in the 65+ population (10%). However, of that small number of people in the 65+ population who have reported suffering mental health problems due to climate change, there was a universal (100%) experience of having “anxiety and stress over future effects of climate change,” Heatmap found. Ninety percent also had anxiety and stress over the current effects.
Among young people who self-reported having mental health issues around climate change, “stress and anxiety” about current (69%) and future (66%) climate events was the most often cited mental health impact. Over half also cited depression (53%) and loneliness and isolation (46%).
Despite the “unbearable whiteness” of the conversation around climate anxiety, Heatmap’s polling was consistent with earlier surveys that found people of color are more likely to be alarmed about global warming than white people. White Americans were actually the least likely to report having experienced climate change-related mental health problems, at 28%, compared to African-Americans and Hispanics (36% each) and Asian American and Pacific Islanders (33%). Though white Americans reported the highest instances of depression (60% compared to 36% among all people of color), minority groups lead self-reports of anxiety and stress over the present (71% to white Americans’ 64%); anxiety and stress over the future (65% to white Americans’ 61%); and loneliness and isolation (45% to white Americans’ 35%).
That result isn’t as surprising when you look at who has been personally affected by climate change: just 44% of white people say they have been, compared to more than half of African-Americans (55%), one in six Hispanics (60%), and three-quarters of Asian American and Pacific Islanders (75%). Of the people who said climate change caused them mental health problems, the lowest rate (28%) was among white Americans.
Heatmap also asked all the respondents if climate change makes them worried about their children’s future. Though this question included answers from non-parents and people planning never to have children (and thus could be skewed by the fact that white respondents were also the least likely to have children under 18 living at home), 78% of people of color voiced general concerns about the future of their children due to climate change compared to 64% of white Americans.
Particularly of note was that nearly all (94%) of Asian American and Pacific Islanders described themselves as worrying about their children’s future due to climate change, despite having roughly the same number of children living at home as white Americans (34% to white American's 31%). There were also high levels of concern among Hispanics, at 81%, and African-Americans, at 70%, though those respondents were somewhat more likely to be parents or guardians than white Americans.
Mothers were significantly more likely to suffer from the mental health effects of climate change (49%) compared to dads (33%).
Fathers, on the other hand — and hilariously — were likely to say they've experienced climate-related property damage (51% to moms’ 39%).
It might seem intuitive that people living under the wildfire-orange skies of California or on the eroding coastlines of Florida would be the most concerned about climate change, but that certainly isn’t the rule. The Northeastern United States is technically among the “safest” places in the country with regards to meteorological upheavals — just 11% of respondents in the region described themselves as having been “very affected” by climate change. Nevertheless, of the people self-reporting mental health problems related to climate, 40% were in the Northeast compared to 22% in the West.
This is especially notable because while people in the Northeast might have a reputation for being more high strung than other parts of the U.S., the region actually features the lowest levels of general anxiety, behind the Midwest, South, and West, according to
a pre-pandemic U.S. Census Bureau study. (The Northeast surpassed the Midwest by fall 2020, though that could potentially be attributed to the region being hard-hit by COVID-19).
The higher rate of self-reported mental health problems could be political: the Northeast is the most liberal region in the U.S., and residents are perhaps more inclined to trust scientific warnings about climate change and/or read news about the severity of the crisis, resulting in higher levels of concern.
It’s revealing to look at specifically what kinds of mental health problems Northeasterners describe, too. Most (82%) who were experiencing mental health problems specified having anxiety and stress from current climate change effects — a rate almost 10 points higher than the next-most-anxious region, the South.
“Depression” was the most commonly cited mental health impact in the West (66%) and Midwest (69%), the
Heatmap poll found. Suburbanites also specifically experienced “anxiety and stress” from current climate change in high numbers, at 74% compared to rural Americans’ 66% and urbanites’ 58%.
Climate-linked mental health problems more broadly occur at the highest rates in rural communities, which are also uniquely vulnerable to weather-related impacts. Among those who said they have mental health problems stemming from climate change, 36% lived in rural locations, compared to 29% in the suburbs and 27% in urban environments.
Anxiety only scratches the surface of the mental health issues that result from climate change, Heatmap also found.
Nearly a third of Americans (30%) who reported experiencing climate change said it resulted in mental health problems. While 63% of that group further specified that meant suffering from anxiety and stress, 49% also reported depression, 22% reported post-traumatic stress disorder, and 18% reported taking to coping mechanisms like substance abuse.
The fourth National Climate Assessment, a congressionally mandated report by the U.S. Global Change Research Program published in 2018,
warns that these responses are normal and will continue to result from climate disasters going forward. People who experience a flood or the risk of flood, for example, “report higher levels of depression and anxiety, and these impacts can persist several years after the event.” Droughts commonly result in “increased use of alcohol and tobacco.” High temperatures can “lead to an increase in aggressive behaviors, including homicide.” Children displaced by climate-related disasters experience a “heavy burden” on their mental health. Separately, a 2018 study published in Nature predicted up to 40,000 additional suicides in the United States and Mexico by 2050 due to higher temperatures.
“Climate anxiety” (sometimes interchangeably called “eco-anxiety”) is not technically classified as a medical condition by the all-powerful DSM-5, the diagnostic manual used by mental health professionals in the United States — which makes sense, because “the last thing we want is to pathologize this moral emotion, which stems from an accurate understanding of the severity of our planetary health crisis,” Britt Wray writes in her 2022 book Generation Dread: Finding Purpose in an Age of Climate Crisis. Many in the medical community agree; as one psychotherapist and researcher told the BBC on the subject in 2019, “I’d kind of wonder why somebody wasn’t feeling anxious.”
Within reason, a certain amount of climate anxiety can be a good thing. (It will perhaps be productive to track climate “worry” in the coming years to see if, or as, it changes as guarded climate optimism grows in popularity). But experiencing climate change can also produce mental health problems that, like physical health problems, need to be anticipated and treated as weather-related crises increase, intensify, and expand. That is particularly true as it pertains to underserved communities, whose mental health struggles already frequently go unrecognized or untreated.
The overriding takeaway, though, is that it is wrong to look at climate change as only a danger to property and physical safety, the two human impacts that dominate headlines. Even if just 15% of Americans who experience climate change personally end up with self-described mental health problems as a result, that would potentially mean almost 18 million Americans will be suffering from the mental effects of climate change by 2050.
As Gary Belkin, the former deputy health commissioner for New York City and founder of the Billion Minds Institute, wrote for Psychiatric News in 2021, “We are all psychologically unprepared to face the accelerating existential crisis of climate and ecological change that will further deepen other destructive fault lines in our society ... We must sound that alarm and put our own house in order.”
The Heatmap Climate Poll of 1,000 American adults was conducted via online panels by Benenson Strategy Group from Feb. 15 to 20, 2023. The survey included interviews with Americans in all 50 states and Washington, D.C. The margin of sampling error is plus or minus 3.02 percentage points. You can read more about the topline results here.
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Geothermal is getting closer to the big time. Last week, Fervo Energy — arguably the country’s leading enhanced geothermal company — announced that its Utah demonstration project had achieved record production capacity. The new approach termed “enhanced geothermal,” which borrows drilling techniques and expertise from the oil and gas industry, seems poised to become a big player on America’s clean, 24/7 power grid of the future.
Why is geothermal so hot? How soon could it appear on the grid — and why does it have advantages that other zero-carbon technologies don’t? On this week’s episode of Shift Key, Rob and Jesse speak with a practitioner and an expert in the world of enhanced geothermal. Sarah Jewett is the vice president of strategy at Fervo Energy, which she joined after several years in the oil and gas industry. Wilson Ricks is a doctoral student of mechanical and aerospace engineering at Princeton University, where he studies macro-energy systems modeling. Shift Key is hosted by Robinson Meyer, the founding executive editor of Heatmap, and Jesse Jenkins, a professor of energy systems engineering at Princeton University.
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Here is an excerpt from our conversation:
Robinson Meyer: I just wanted to hit a different note here, which is, Sarah, you’ve alluded a few times to your past in the oil and gas industry. I think this is true across Fervo, is that of course, the technologies we’re discussing here are fracking derived. What has your background in the oil and gas industry and hydrocarbons taught you that you think about at Fervo now, and developing geothermal as a resource?
Sarah Jewett: There are so many things. I mean, I’m thinking about my time in the oil and gas industry daily. And you’re exactly right, I think today about 60% of Fervo’s employees come from the oil and gas industry. And because we are only just about to start construction on our first power facility, the percentage of contractors and field workers from the oil and gas industry is much higher than 60%.
Jesse Jenkins: Right, you can’t go and hire a bunch of people with geothermal experience when there is no large-scale geothermal industry to pull from.
Jewett: That’s right. That’s right. And so the oil and gas industry, I think, has taught us, so many different types of things. I mean, we can’t really exist without thinking about the history of the oil and gas industry — even, you know, Wilson and I are sort of comparing our learning rates to learning rates observed in various different oil and gas basins by different operators, so you can see a lot of prior technological pathways.
I mean, first off, we’re just using off the shelf technology that has been proven and tested in the oil and gas industry over the last 25 years, which has been, really, the reason why geothermal is able to have this big new unlock, because we’re using all of this off the shelf technology that now exists. It’s not like the early 2000s, where there was a single bit we could have tried. Now there are a ton of different bits that are available to us that we can try and say, how is this working? How is this working? How’s this working?
So I think, from a technological perspective, it’s helpful. And then from just an industry that has set a solid example it’s been really helpful, and that can be leveraged in a number of different ways. Learning rates, for example; how to set up supply chains in remote areas, for example; how to engage with and interact with communities. I think we’ve seen examples of oil and gas doing that well and doing it poorly. And I’ve gotten to observe firsthand the oil and gas industry doing it well and doing it poorly.
And so I’ve gotten to learn a lot about how we need to treat those around us, explain to them what it is that we’re doing, how open we need to be. And I think that has been immensely helpful as we’ve crafted the role that we’re going to play in these communities at large.
Wilson Ricks: I think it’s also interesting to talk about the connection to the oil and gas industry from the perspective of the political economy of the energy transition, specifically because you hear policymakers talk all the time about retraining workers from these legacy industries that, if we’re serious about decarbonizing, will unavoidably have to contract — and, you know, getting those people involved in clean energy, in these new industries.
And often that’s taking drillers and retraining some kind of very different job — or coal miners — into battery manufacturers. This is almost exactly one to one. Like Sarah said, there’s additional expertise and experience that you need to get really good at doing this in the geothermal context. But for the most part, you are taking the exact same skills and just reapplying them, and so it allows for both a potentially very smooth transition of workforces, and also it allows for scale-up of enhanced geothermal to proceed much more smoothly than it potentially would if you had to kind of train an entire workforce from scratch to just do this.
This episode of Shift Key is sponsored by …
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Music for Shift Key is by Adam Kromelow.
Why the new “reasoning” models might gobble up more electricity — at least in the short term
What happens when artificial intelligence takes some time to think?
The newest set of models from OpenAI, o1-mini and o1-preview, exhibit more “reasoning” than existing large language models and associated interfaces, which spit out answers to prompts almost instantaneously.
Instead, the new model will sometimes “think” for as long as a minute or two. “Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes,” OpenAI announced in a blog post last week. The company said these models perform better than their existing ones on some tasks, especially related to math and science. “This is a significant advancement and represents a new level of AI capability,” the company said.
But is it also a significant advancement in energy usage?
In the short run at least, almost certainly, as spending more time “thinking” and generating more text will require more computing power. As Erik Johannes Husom, a researcher at SINTEF Digital, a Norwegian research organization, told me, “It looks like we’re going to get another acceleration of generative AI’s carbon footprint.”
Discussion of energy use and large language models has been dominated by the gargantuan requirements for “training,” essentially running a massive set of equations through a corpus of text from the internet. This requires hardware on the scale of tens of thousands of graphical processing units and an estimated 50 gigawatt-hours of electricity to run.
Training GPT-4 cost “more than” $100 million OpenAI chief executive Sam Altman has said; the next generation models will likely cost around $1 billion, according to Anthropic chief executive Dario Amodei, a figure that might balloon to $100 billion for further generation models, according to Oracle founder Larry Ellison.
While a huge portion of these costs are hardware, the energy consumption is considerable as well. (Meta reported that when training its Llama 3 models, power would sometimes fluctuate by “tens of megawatts,” enough to power thousands of homes). It’s no wonder that OpenAI’s chief executive Sam Altman has put hundreds of millions of dollars into a fusion company.
But the models are not simply trained, they're used out in the world, generating outputs (think of what ChatGPT spits back at you). This process tends to be comparable to other common activities like streaming Netflix or using a lightbulb. This can be done with different hardware and the process is more distributed and less energy intensive.
As large language models are being developed, most computational power — and therefore most electricity — is used on training, Charlie Snell, a PhD student at University of California at Berkeley who studies artificial intelligence, told me. “For a long time training was the dominant term in computing because people weren’t using models much.” But as these models become more popular, that balance could shift.
“There will be a tipping point depending on the user load, when the total energy consumed by the inference requests is larger than the training,” said Jovan Stojkovic, a graduate student at the University of Illinois who has written about optimizing inference in large language models.
And these new reasoning models could bring that tipping point forward because of how computationally intensive they are.
“The more output a model produces, the more computations it has performed. So, long chain-of-thoughts leads to more energy consumption,” Husom of SINTEF Digital told me.
OpenAI staffers have been downright enthusiastic about the possibilities of having more time to think, seeing it as another breakthrough in artificial intelligence that could lead to subsequent breakthroughs on a range of scientific and mathematical problems. “o1 thinks for seconds, but we aim for future versions to think for hours, days, even weeks. Inference costs will be higher, but what cost would you pay for a new cancer drug? For breakthrough batteries? For a proof of the Riemann Hypothesis? AI can be more than chatbots,” OpenAI researcher Noam Brown tweeted.
But those “hours, days, even weeks” will mean more computation and “there is no doubt that the increased performance requires a lot of computation,” Husom said, along with more carbon emissions.
But Snell told me that might not be the end of the story. It’s possible that over the long term, the overall computing demands for constructing and operating large language models will remain fixed or possibly even decline.
While “the default is that as capabilities increase, demand will increase and there will be more inference,” Snell told me, “maybe we can squeeze reasoning capability into a small model ... Maybe we spend more on inference but it’s a much smaller model.”
OpenAI hints at this possibility, describing their o1-mini as “a smaller model optimized for STEM reasoning,” in contrast to other, larger models that “are pre-trained on vast datasets” and “have broad world knowledge,” which can make them “expensive and slow for real-world applications.” OpenAI is suggesting that a model can know less but think more and deliver comparable or better results to larger models — which might mean more efficient and less energy hungry large language models.
In short, thinking might use less brain power than remembering, even if you think for a very long time.
On Azerbaijan’s plans, offshore wind auctions, and solar jobs
Current conditions: Thousands of firefighters are battling raging blazes in Portugal • Shanghai could be hit by another typhoon this week • More than 18 inches of rain fell in less than 24 hours in Carolina Beach, which forecasters say is a one-in-a-thousand-year event.
Azerbaijan, the host of this year’s COP29, today put forward a list of “non-negotiated” initiatives for the November climate summit that will “supplement” the official mandated program. The action plan includes the creation of a new “Climate Finance Action Fun” that will take (voluntary) contributions from fossil fuel producing countries, a call for increasing battery storage capacity, an appeal for a global “truce” during the event, and a declaration aimed at curbing methane emissions from waste (which the Financial Times noted is “only the third most common man-made source of methane, after the energy and agricultural sectors”). The plan makes no mention of furthering efforts to phase out fossil fuels in the energy system.
The Interior Department set a date for an offshore wind energy lease sale in the Gulf of Maine, an area which the government sees as suitable for developing floating offshore wind technology. The auction will take place on October 29 and cover eight areas on the Outer Continental Shelf off Massachusetts, New Hampshire, and Maine. The area could provide 13 gigawatts of offshore wind energy, if fully developed. The Biden administration has a goal of installing 30 GW of offshore wind by 2030, and has approved about half that amount so far. The DOI’s terms and conditions for the October lease sale include “stipulations designed to promote the development of a robust domestic U.S. supply chain for floating wind.” Floating offshore wind turbines can be deployed in much deeper waters than traditional offshore projects, and could therefore unlock large areas for clean power generation. Last month the government gave the green light for researchers to study floating turbines in the Gulf of Maine.
In other wind news, BP is selling its U.S. onshore wind business, bp Wind Energy. The firm’s 10 wind farm projects have a total generating capacity of 1.3 gigawatts and analysts think they could be worth $2 billion. When it comes to renewables, the fossil fuel giant said it is focusing on investing in solar growth, and onshore wind is “not aligned” with those plans.
The number of jobs in the U.S. solar industry last year grew to 279,447, up 6% from 2022, according to a new report from the nonprofit Interstate Renewable Energy Council. Utility-scale solar added 1,888 jobs in 2023, a 6.8% increase and a nice rebound from 2022, when the utility-scale solar market recorded a loss in jobs. The report warns that we might not see the same kind of growth for solar jobs in 2024, though. Residential installations have dropped, and large utility-scale projects are struggling with grid connection. The report’s authors also note that as the industry grows, it faces a shortage of skilled workers.
Interstate Renewable Energy Council
Most employers reported that hiring qualified solar workers was difficult, especially in installation and project development. “It’s difficult because our projects are built in very rural areas where there just aren't a lot of people,” one interviewee who works at a utility-scale solar firm said. “We strive to hire as many local people as possible because we want local communities to feel the economic impact or benefit from our projects. So in some communities where we go, it is difficult to find local people that are skilled and can perform the work.”
The torrential rain that has battered central Europe is tapering off a bit, but the danger of rising water remains. “The massive amounts of rain that fell is now working its way through the river systems and we are starting to see flooding in areas that avoided the worst of the rain,” BBC meteorologist Matt Taylor explained. The Polish city of Nysa told its 44,000 residents to leave yesterday as water rose. In the Czech Republic, 70% of the town of Litovel was submerged in 3 feet of flooding. The death toll from the disaster has risen to 18. Now the forecast is calling for heavy rain in Italy. “The catastrophic rainfall hitting central Europe is exactly what scientists expect with climate change,” Joyce Kimutai, a climate scientist with Imperial College London’s Grantham Institute, toldThe Guardian.
A recent study examining the effects of London’s ultra-low emissions zone on how students get to school found that a year after the rules came into effect, many students had switched to walking, biking, or taking public transport instead of being driven in private vehicles.