You’ve reached your free article limit
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
Sign In or Create an Account.
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Welcome to Heatmap
Thank you for registering with Heatmap. Climate change is one of the greatest challenges of our lives, a force reshaping our economy, our politics, and our culture. We hope to be your trusted, friendly, and insightful guide to that transformation. Please enjoy your free articles. You can check your profile here .
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Subscribe to get unlimited Access
Hey, you are out of free articles but you are only a few clicks away from full access. Subscribe below and take advantage of our introductory offer.
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Create Your Account
Please Enter Your Password
Forgot your password?
Please enter the email address you use for your account so we can send you a link to reset your password:
Americans have succumbed to the myth of dams, argues the author of a new book advocating for their removal.

There are over 91,000 dams in the United States — so many that if you put them all on a map and zoom out, it looks a little like a coverage map for a halfway decent phone network. Most of these dams exist for purposes of flood control and irrigation; a mere 3%, mostly clustered in the West, are used for hydropower. These projects account for over 30% of renewable energy generation in the U.S., which is actually on the smaller side by global standards. Around the world, it’s over 53%.
As the U.S. begins to heave itself toward decarbonization, though, hydropower “pretty much has to be a part” of the solution, many policymakers, scientists, and activists say — particularly because they can run when other sources of renewable energy can’t, like when the wind isn't blowing and the sun isn't shining. Currently, there is a major push to retrofit non-powered dams to produce electricity.
A contingent of activists, however, say we actually need to go in the opposite direction — and tear down the dams. Writer and filmmaker Steven Hawley argues in his new book Cracked: The Future of Dams in a Hot, Chaotic World (out this week from Patagonia Books, the mission-focused publishing arm of the outdoor apparel company) that Americans have been suckered into believing in the century-old “mythology” of dams.
The reality of hydropower emissions is surprisingly complicated and understudied. Recent research suggests there are huge discrepancies between the carbon footprints of different hydropower plants. Some have negative emissions, as Grist wrote in 2019, but others are little better than fossil fuel sources. It’s all in their location and the way they’re built and operated.
Hawley and I spoke on Wednesday about the drawbacks of dams, the historically corrupt allotment of water in the West, and the future of the environmental movement. A transcription of our conversation, edited and condensed for length and clarity, is below.
When I was a kid, my family took road trips to Grand Coulee and Hoover dams, where we oohed and ahhed over them as engineering marvels that make life in the West possible. In your book, you call this part of the “gospel” and “mythology” of dams. Can you tell me a little more about the power these stories still hold over us?
In the post-World War II environment, we were sold this story about how building large water control projects in arid desert basins all over the West would make modern civilization possible and even desirable. We embarked on a dam-building frenzy — not only in the flagship projects in the American West but all over the country. I think there was something like 90,000 dams built from 1930 to 1980 in the United States. The idea was that you could exercise a control over nature that would allow us to furnish a rising tide that would lift all boats. That’s proven to not be true. The flood that came as a result of the dams lifted a few people’s boats, but not everyone’s. There are still, for instance, in the migrant worker community, an alarming number of underpaid and poor people.
The second part of the story, particularly with the climate chaos that is facing us in our future, is that dams are a really inefficient and horrible way to store water because we lose so much water through evaporation. Estimates have doubled: It used to be the standard cost of evaporation out of the reservoir behind any dam was 10%. Now they’re saying, okay, maybe it’s closer to 20%. It’s only going to increase with the increase in temperatures. You can’t justify that in an era where water is scarce; losing that much of the volume of a reservoir to make clouds wasn’t the intent of those projects. The intent was to furnish water for people and places that need it and if you’re losing 20% a year, and there are years where there’s low or no precipitation as we’ve seen in the Colorado basin, you’re not going to have a reservoir.
The last part that’s blown up the mythology of dams is that dams are major producers of greenhouse gases. The sixth largest producer of methane on the planet is the world’s reservoirs. And we know that methane in the short term is a much more serious problem than CO2. You can’t have the world’s reservoirs emitting methane on the same level as the country of Germany and tell me that dams are providing clean, green energy or clean, green water storage for places that need it. It’s just not true. The science on that has evolved rather quickly. It’s widely accepted even by the federal agencies, the Bureau of Reclamation and the Army Corps of Engineers, that all reservoirs produce methane.

I had a question about that! Prominent environmentalists are calling for a green building boom, stressing that, despite the drawbacks of some renewable technologies, the most important thing is for us to transition away from fossil fuels as quickly as possible. The Inflation Reduction Act offers a tax credit for the production of electricity from hydropower, and the Energy Department has announced $200 million for the modernization and expansion of hydroelectric power, calling it an important step toward President Biden’s goal of 100% clean electricity by 2035. In your opinion, can dams have a place in the energy transition?
Well, they can but they shouldn’t. We’re still subsidizing the fossil fuel industry, and the fact that these kinds of provisions make their way into energy bills should tell us more about the power of lobbying than it does about any kind of safe or sane or sound policy decisions. We know the science, we know that hydropower is not clean green energy, in addition to the destruction of salmon runs and ecological destruction of habitat.
[Dams] produce methane and we can’t have energy sources that are producing significant quantities of methane. So we should be looking at a serious cost-benefit analysis and ecological environmental analysis of every large dam project and start planning for getting rid of the ones that aren’t penciling out. Is there a variance in the amount of methane that each project produces? I don’t know, I’m not adept enough at the science to say what’s acceptable and what’s not. But some reservoirs — as one of the early researchers in this field pointed out, in terms of a CO2-equivalent greenhouse gas footprint — they’re on par with a large coal-fired plant.
In Cracked, you tell the story of Project 5311, a tribe-led effort to create a virtual power plant — that is, a network of decentralized renewable energy generators, like homeowner’s solar panels, batteries, or even EVs, that pool together to create a flexible electricity grid — as a way to offset and justify removing four Snake River dams. Could this be a model course of action on other rivers?
This is an exciting new frontier in the West for the utility industry. It does a number of things for indigenous communities. It gives them another revenue stream — here in the Pacific Northwest, the main revenue stream for a lot of Indian nations is the casino, and so becoming a player in the energy business diversifies their economy. We’ve seen this happen on the Nez Perce reservation already.
What would be really cool is if we could get key legislators in state houses to start supporting the ambitions of the Nez Perce. They can see, as most of the rest of us can, that we need to wean ourselves off fossil fuels. If the kind of environment that allowed humans to flourish over the past 200,000 years is going to continue, we’re gonna have to change the way that we do things. And I think Indigenous communities are seeing that they can be a part of that change. In the case of the Nez Perce, they can see that they can have their salmon-bearing rivers back, a key part of not only their economy but their religion and their society as well.

In addition to being part manifesto, part how-to guide, and part travelogue, Cracked is also a history of water usage in the West. But I’m also curious about your history — how did you become a dam buster?
My best friend in high school growing up was a massive fly-fishing nerd. He baptized me into that world and I started fishing and paying attention to what was going on on rivers. The second part of that story is, I had a friend who was kind of a fast talker, and he talked his way into being the editor of a fishing magazine and he called me up and said, “I don’t know the first thing about this subject. I’ll let you freelance all you want to.” And so I took that job and started writing about river issues.
What really sold me on dam removal was, at the time, there was a group of commercial fishermen that were starting to pay really close attention to what was happening in the streams that produce a lot of the fish that they catch. Any salmon species ultimately has to spend some time in freshwater, of course. And [the fishermen] were actually lobbying in state houses and legislatures and in Congress. Some that were out of work, they were actually doing stream restoration and a lot of them found that work really satisfying. And a lot of them learned that the main reason why they were suffering economically is because of dams that were cutting off their supply of fish. And I thought that was a pretty fascinating story. You don’t normally think of commercial fishermen as environmentalists, or at least you didn’t back then. But that’s what sold me, that series of events.
Many people are familiar with the idea that dams disrupt river ecosystems, but you write also that “an aggression against a wild river is ultimately an aggression against people.” I was surprised to learn that historically dams have been pitched to constituents as an equalizer when you argue they mostly benefit people with power.
Yeah, absolutely. There’s a section in the book about how the supposedly egalitarian work of the Central Valley Project in California instead goes to some already very wealthy farmers. What should really raise the ire of a lot of readers who care about clean water and rivers is just the way that the agricultural lobby, particularly in the state of California, has made water “flow uphill toward money.”
There was a deal that the Westlands Water District cut to basically take ownership of $3 billion worth of federal infrastructure and they also had their water rights guaranteed. So in years where the rest of Californians might be worried about, you know, whether they’re gonna have enough water to put a garden out, or even, you know, God forbid, in the future, take a shower. But Westlands will get their water no matter what. And that’s really corrupt. They’re not forced to take part in any kind of cutbacks the way the rest of us are. And that’s wrong.

Do you have any parting words for readers who are making up their minds about these complicated trade-offs?
I think we’ve reached a crossroads in the environmental moment with a number of crises — the extinction crisis, the climate change crisis coming out as full bore. It’s a perfectly human response to be overwhelmed by that.
I was impressed with a couple of people that I interviewed who beseech the environmental community to get back to making arguments based on what is beautiful, what is aesthetically pleasing, and what is right for future generations. I think that’s really what the Remove the Dams movement is all about, is putting the environmental movement back on the side of what is — well, as I quoted Martin Litton at the head of one chapter, “don’t ask for what is reasonable, ask for what is right.”
We should be arguing not over what is, but what ought to be.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
What 700 math problems say about the AI economy’s biggest open question
This is Heatmap Daily, an evening news digest written by our executive editor. Subscribe here.
Happy Monday and welcome back.
It’s been a big weekend: I’m fairly certain Saturday Night Live mentioned Heatmap’s data center polling in one of its Weekend Update segments over the weekend. Watch here.
There are 22 days to the midterm elections here in the United States. We’ll soon enter that pre-election wormhole where only national politics can break through. So today I wanted to look at a story that might, on its face, seem like it has nothing to do with climate or energy. And warning: It’s a little bit of a weird one.
Last week, OpenAI released what it described as the solution to more than 700 open problems in mathematics. Many of the problems, such as the Quasi-Riemann hypothesis, had gone unsolved for decades. Some of the solutions came with proofs written in the programming language Lean.
The release made a stir in part because OpenAI had reached the solutions by using an internal model — that is, a version of ChatGPT not yet open to the general public. In a statement, the Association for Human Mathematics lambasted OpenAI for using an internal model to do research, violating what it described as a precept of AI-driven math research. (I’ve since seen speculation that OpenAI may not have even meant to solve the problems, but gave them to the internal model as a test … and then got the answers.) It’s also not clear whether all of OpenAI’s 700 solutions are correct — in many cases the proofs are so intricate that mathematicians are still wrapping their heads around them.
“There are some sad stories related to their users getting scooped [and] conflicts of interest,” Levent Alpöge, a mathematician at Anthropic, posted on X. “It’s obviously the most significant moment in mathematical history.”
On Friday night, the UCLA mathematician Terence Tao gave a pre-planned lecture at Caltech about what he called “Math 2.0”; it considered the revolution the field had seemingly undergone in the previous few days. (He posted the slides to his blog over the weekend, and I’m using them to summarize his talk here.) For most of math’s history, he said, the field operated under “proof scarcity,” in which finding a solution to an open math problem and confirming it as true was “difficult and rare,” requiring “significant human expertise.”
But AI, it has turned out, is well suited to solving math problems. This is partly because math, like the large language models themselves, is entirely conceptual, so confirming a proof as true requires no recourse to the physical. But it’s also because math’s solutions are “objectively verifiable”: “There is broad consensus on what constitutes a correct and complete proof of a given problem,” and thanks to the existence of proof programming languages like Lean, they can even be checked by computer.
The end result is that math is now entering a world of “proof abundance,” he said.
That is, perhaps surprisingly, a problem for math’s practitioners, and it will mandate a new intellectual regime for the discipline. Mathematicians have often used open problems as “lighthouses,” Tao wrote, “not destinations to be reached … but useful guides to explore the mathematical landscape.” Mathematicians often learn more in the solving than in the solution, in other words. But if mathematicians can now generate shortcuts to math problems without knowing how they got there, or even how the problem works, then actual human mathematical understanding will suffer. (One way to understand this is that mathematicians are now dealing with the same problem that math teachers have faced since the invention of the pocket calculator: How do you confirm students actually understand the material? Except the world’s most elite mathematicians themselves are the students in question.)
This disconnect can pose its own AI alignment problems, Tao said, analogizing math to pharmaceuticals. Suppose an advanced AI found what appears to be a cure for cancer that can pass a stage 3 clinical trial: “After a large amount of compute, it produces a cocktail of previously unknown chemicals which it claims, when mixed and injected into a patient, will kill all their cancer cells,” he said. It even generates a programmatic proof of the cocktail’s effectiveness.
“Before injecting this cocktail into your bloodstream,” he asked, “would you find it reassuring to know that there is at least one human cancer expert who understands — even partially — the mechanism behind this cure?” If not, you can see mathematicians’ problem, confronted by a surfeit of proofs that seem to work, but nobody who can explain how or why they do.
Now, Tao’s analogy is somewhat peculiar because something like this actually does happen all the time in medicine: Doctors still don’t fully understand how many drugs work, including acetaminophen, SSRIs, and lithium. (That said, those compounds were identified by trial and error, not by a mechanical superintelligence.) But the broader situation that Tao is painting — as well as the crisis posed by OpenAI’s 700 proofs — get at a significant question with economic importance far beyond just math: Will AI solve the economy’s secular attention shortage or worsen it?
This question has greater import than it may seem — but let me qualify what I mean by “attention shortage.” Writing in 1971, the economist Herber Simon observed the sudden superabundance of information that had exploded in every economic domain. There were more facts, data, news articles, and opportunities than any individual or organization knew what to do with. He pointed out that this newfound “wealth” of information implied an insufficiency of something else: attention.
“What information consumes is rather obvious: it consumes the attention of its recipients,” he wrote in Designing Organizations for an Information-Rich World. “Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.”
He wrote this, of course, well before the advent of internet, smartphones, sensors, or networked cameras — all of which have worsened the problem. But in the ensuing half century, the economy has learned to deal (or at least intermittently manage) this secular scarcity of attention. Much of what we now call knowledge work is devoted to filtering, siphoning, processing, and otherwise attending to the information superabundance.
AI is, in theory, supposed to help address this same set of problems. AI is commodified attention — or, at least, that is its promise. (The most important machine learning paper of the past decade, after all, is entitled “Attention Is All You Need.”) Many AI products, such as Meta’s Muse, now want you to believe that by ceding control of your email, your calendar, your restaurant reservations, and your digital life to AI, you will gain an attentional edge. The AI will do the grunt-work of attending to boring things for you, and you will feel less overwhelmed. If this vision comes true, the economy’s mismatch of information and attention will prove to be a short-lived historical blip.
But the past week of math news and Tao’s “Math 2.0” regime suggest a different scenario is more likely, at least in the immediate near term. By allowing far faster and more automated information production, AI will create a new, more vicious, and even more abstract form of information overload. Every profession and intellectual discipline will be overwhelmed with new papers, ideas, observations, proofs, or choices. Yet the human understanding required to convert this new information into useful action will become even more scarce. In such a world, AI will not solve the economy’s attention shortage, but worsen it.
I’m not sure which world would be worse for humanity, to be candid. One world suggests the eventual automation of all human effort. But in Tao’s world, many of us might still have jobs — they will just involve even more filtering, sorting, and processing of an ever-deepening pile of automated idea generation than we do today.
And what is the connection to climate and energy? One easy connection might be to the permitting process: If you think a new transit line (at the local level) or transmission line (at the state or federal level) could be overwhelmed with procedural concerns 10 years ago, wait until you see what happens when information itself can be mechanically produced. But that is only one example of a more general problem. Soon, if not already, any process of providing input to an important policy question — on energy, decarbonization, or anything else — will be overwhelmed with facially high-quality analysis. It will be left to policy officials and elected leaders to sort through it.
This past weekend’s storms caused flooding and property damage up and down the coast — and it’s going to get worse.
California has around 3,400 miles of shoreline, ranging from the wild, foggy beaches of the North Coast to the sunbather-studded sands of Orange and San Diego counties. That’s a whole lot of border to share with the Pacific Ocean, especially when the water is as hot and tempestuous a neighbor as it is right now.
Just ask the city of Long Beach, which this weekend was on the receiving end of some Super El Niño mischief. Swells from the storm briefly dubbed Hurricane Rachel “annihilated” beachfront mansions and flooded city streets, causing pieces of the local boardwalk to “shred away.” “It’s never happened like this before,” one resident of 64 years told the New York Post.
But while things might look bad in California at the moment, they can still get much worse. One disaster modeler recently estimated the state could see as much as $3 billion in flooding and mudslide-related losses alone this winter — not to mention coastal erosion, king tides, and storm swell. Governor Gavin Newsom declared a state of emergency at the end of September, while many cities, including San Diego, have declared their own local emergencies.
El Niño will likely peak in December, meaning that towns and cities across the state have just a few remaining weeks to finalize projects, whether that means improving drainage in landslide-prone environments such as Rancho Palos Verdes or distributing NOAA weather radios in areas likely to lose power, as emergency managers are in Santa Cruz. The approaching winter storms, combined with El Niño, represent “a humbling reminder of the ongoing effects of climate change and the importance of emergency preparedness,” Laath Martin, the public affairs lead for the city of Long Beach, wrote to me in an email.
El Niño is a cyclical phenomenon, occurring when temperatures in a particular stretch of the Pacific Ocean rise half-a-degree Celsius above the average of the preceding 30 years. But there are signs these natural variations are happening less predictably because of climate change, and we know for sure that a warmer atmosphere makes the baseline for its impacts worse: king tides, Kelvin waves, and storm surge piggyback on top of rising sea levels to result in more severe coastal flooding and erosion. A warmer atmosphere also holds more water, which means more rain — perhaps 200% above normal — which, in turn, results in flooding and mudslides further inland, as well.
“Based on what I am seeing now, I am officially concerned,” Daniel Swain, a climate scientist at the University of California Agriculture and Natural Resources, said last week after reviewing the latest outlook. There’s a reason this year’s El Niño is being called a Godzilla.
In general, the weather pattern causes the jet stream to shift south in the winter, bringing wetter and snowier conditions to the lower U.S. while the northern part of the country stays drier and mild. (It’s also responsible for a weaker Atlantic hurricane season, as we’ve already seen this year.) In addition to El Niño-driven Kelvin waves, warm bulges of water that raise the sea level on the coast by as much as 18 inches, the state of California — and particularly southern California — sits directly in a storm track that will deliver “atmospheric rivers” of heavy rain to a region prone to landslides and flash floods.
In many parts of the state, that rain will test the best-made plans in addition to plans deferred. In Los Angeles, the Department of Sanitation and Environment, or LASAN, has told the City Council it has concerns about the ability of the aging wastewater pipes and plants to handle heavy rainfall associated with a supercharged El Niño. In San Diego, which requires some $3.3 billion to upgrade what is in some places a century-old wastewater system, emergency managers are preparing to work with what they have by clearing debris and brush that could back up in the drains, CalMatters reports. In both cases, the time required for systemwide repairs far exceeds the time remaining before the winter’s supercharged atmospheric rivers are due to arrive. (Rezende told me inland flooding affects more businesses and residents in San Diego than coastal flooding, since the population in the city is set further back from the coastline.)
The city of Roseville, northeast of Sacramento, by contrast, is leaning on decades of flood planning to get through the season. After a series of back-to-back storms in 1986 that killed 13 people and caused $400 million in damage, the city and FEMA invested $39 million to upgrade Roseville’s infrastructure, including widening streams and adding levees and stormwater bypass channels. With more accurate floodplain modeling that has “helped keep new construction at higher elevations,” Helen Dyda, the city manager’s public information officer told me that “less than 7% of the city is within a floodplain” today. Dyda added that the city prepares for winter storms every year — it has some 160 miles of creek shoreline, after all — but that the El Niño-specific preparations are, as a result, more similar to routine maintenance: “clearing more dense vegetation and fallen trees from key creek areas.”
Long Beach is caught somewhere in the middle. After swells from Hurricanes Marie and Polo hammered the city in September, Long Beach hastily developed a seven-point plan to strengthen its peninsula in the near and long term. It will also begin a $11.4 million dredging project this fall that will place 415,000 cubic yards of sand on the beach as a buffer zone. “While this effort will achieve a much-desired result, it will not stop the ocean from pulling sand from the peninsula with every wave, especially during the significant weather systems Long Beach continues to experience,” Martin, the city’s public affairs lead, wrote to me. “Back-passing will need to continue to return sand back to the peninsula each day until more permanent, long-term man-made and environmental solutions can be identified, permitted and implemented.”
In certain cities, preparations for the peak of El Niño overlap with ongoing repairs from the last bad storm season. In Santa Cruz County, the 2016 El Niño caused an estimated $9 million in damage, while many in the community of Pajaro are still recovering from the flood damage caused by a series of severe atmospheric rivers in 2023. “We have a list of hazards that the city is vulnerable to, and we plan for all of them not individually, but all together,” Meredith Albert, Santa Cruz’s emergency management manager, told me. She added that many of the city’s preparedness activities and El Niño initiatives, like urging the community to be prepared to spend 72 hours unsupported, overlap with other disasters it works year-round to prepare for, like earthquakes, landslides, and wildfires.
“El Niño turns up the volume a little bit, but it doesn’t necessarily change our hazard landscape,” is how Albert put it to me.
Santa Cruz has not declared a local state of emergency, and Albert told me they won’t until they “run out of resources.” Other cities, like San Diego, have declared one preemptively. “In the past, you’d have to go through a longer review if you wanted to make some headway on projects, and sometimes that would take many weeks or many months of permitting,” Rezende said. “With a state of emergency, we streamline that process and get projects in the queue.”
Both Rezende and Albert told me the governor's statewide emergency declaration mostly helps state agencies position themselves for a faster response or has implications for higher-level permitting processes. (In Carlsbad, for example, which has seven miles of badly eroding beach, just one mile is controlled by the city; the other six are managed by the State Parks.) The state has also teamed up with ICEYE, a satellite imaging company, to receive information about flooding even in the dark or through rain clouds.
No state of emergency, though, can make it so a city can replace a century-old sewer system by Christmas or reengineer a beach by the time January’s storms begin to make landfall. But if a Godzilla analogy fits the onslaught of a super El Niño, it also offers a classic disaster-movie lesson on how to survive it.
Albert’s advice for how to prepare? Ask a neighbor for a cup of sugar. Take their dog for a walk. Build a relationship that could prevent a tragedy. “We know that our city will be cut off for at least a couple of days,” she told me of a hypothetical major disaster, referring back to Santa Cruz’s experience after the 1989 Loma Prieta earthquake, which cut off the city’s power, communication, and supply lines. “And we also know that we can’t build those relationships during the disaster. We’re trying to build them before.”
The city is doing a lot to prepare for the storm, she said. “But the question is also, what are all of us doing?” Albert went on. “You know better than I do, at the city level, who’s not going to receive that alert,” whether that be an elderly or unhoused neighbor or a nonnative English speaker who might not receive or understand emergency communications.
“Check in on a neighbor” is easier said than done — active engagement and connection to one’s community is trending downward in most parts of the U.S. But the people and places that bounce back from disaster and tragedy are almost uniformly the ones that look after each other. Borrowing a cup of sugar, to this introvert, sounds like a nightmare. But there’s never been a better time than a Godzilla El Niño to bake a poorly resourced cake.
Heatmap News is looking for an ambitious, energetic senior editor to join our growing newsroom.
The senior editor will report to the deputy editor of the website and will be tasked with assisting in running all aspects of our coverage. This individual will be the primary editor on many of the site’s stories, including breaking news, features, and long-term projects, on topics ranging from permitting reform to decarbonized fuels to greenhouse gas accounting to the electric vehicle market. This person will also play a role in overseeing and furthering our cross-platform efforts such as newsletters, events, and podcasts. Additional duties will include managing and maintaining the site’s social media presence and digital production on stories, newsletters, and podcasts.
Candidates should be intellectually curious news junkies with a deep interest in climate change and the energy transition. They should have a proven ability to work in a fast-paced digital newsroom, spot great angles, line edit stories, and change hats quickly as needed. They should also be responsible, reliable, and a good colleague.
Candidates should have 5+ years experience editing for a digital publication. A background in climate or energy coverage is an obvious plus, but compelling candidates from other verticals, particularly politics and business, will also be considered. Heatmap is a fully remote workplace, so candidates from all U.S. locales are encouraged to apply.
Above all, candidates should be passionate about Heatmap’s mission and absolutely thrilled about building something from the ground up.
The salary minimum is $100,000 and the maximum is $120,000. Competitive benefits, unlimited paid time off, and a generous equity plan, which gives employees a real stake in the company, are also offered. This position is remote.
Interested candidates should send a brief cover letter and resume to editors@heatmap.news with the subject line ‘Senior Editor Application.’
Heatmap News is a media platform focused on the energy transition.
Heatmap News is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by applicable law.
To sample Heatmap’s work, poke around the site and sign up for our newsletter: