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There is no dearth of advice on the internet about how to lower your personal carbon emissions, but if we had found any of it completely satisfying, we wouldn’t have embarked on this project in the first place.
Our goal with Decarbonize Your Life is to draw your attention to two things — the relative emissions benefits of different actions, as well as the relative structural benefits. (You’ll find everything you need to know about the project here.) For the first, we needed some help. So we shared our vision with WattTime, a nonprofit that builds data-driven tools to help people, companies, and policymakers figure out how to reduce emissions, and lucky for us, they were excited to support the project.
“So many people out there feel helpless when it comes to addressing the climate crisis, but we believe that anyone, anywhere should have the tools and information they need to make a difference,” Henry Richardson, a senior analyst at WattTime, told me as we were wrapping up this project. “So we love the idea of helping average consumers understand which actions actually available to them can meaningfully contribute to reducing climate pollution. We want to help people prioritize those higher-impact activities that can mitigate climate change faster.”
WattTime’s claim to fame is building an API that calculates the emissions impact of using the grid at a given time and place. Users can then shift their energy consumption to times when the grid is cleaner or to build renewables in places where they will reduce emissions the most.
In an ideal world, we would have taken a similar time- and place-based approach in calculating the emissions savings of each energy-related action on our list. Switching to an EV if you live somewhere with very clean power will reduce emissions more than if you live somewhere with lots of coal plants, and likewise, getting rooftop solar if you live somewhere with coal-fired electricity is more effective than in areas with a cleaner grid. But when we started to game it out, we realized that level of exactitude would be, if not exactly impossible, certainly insanity-inducing.
Instead, WattTime helped us calculate the effect of each action if it was undertaken by an “average American household” — that is, one that consumes an average amount of electricity per year, drives an average number of miles in an average car per year, uses an average amount of energy for space heating, et cetera. WattTime also pulled data from publicly available sources like the Environmental Protection Agency, the Department of Energy, and the Energy Information Administration, to estimate the baseline emissions and savings of a given action. We ultimately made two calculations for each action to account for two different ways of estimating the emissions from using the electric grid:
While the first method gives us a picture of how much good each action can do in an immediate sense, the second gives us a picture of how much good it can do over time. For example, using the first method, buying clean power came out on top, with rooftop solar offering the potential to cut CO2 by about 5.7 metric tons per year, while switching to an electric vehicle would cut about 3 metric tons per year. But using the second method, car-related actions won out, showing EVs cutting CO2 by 4.6 metric tons per year, and rooftop solar cutting 1.4 metric tons per year. The truth is probably somewhere in the middle.
To calculate the emissions savings from dietary changes and food waste management, we turned to two more partners: HowGood, a data platform for food system lifecycle analysis, and ReFED, which collects similar data for food waste. As with energy, we used federal data from the U.S. Department of Agriculture to estimate the average American diet and ReFED’s estimates for the average American food waste mix (though note that those are for an individual, not for a household). From there, WattTime helped us determine that, for instance, just by replacing the beef in your diet with chicken, you could save nearly 2.5 metric tons of emissions each year — almost as much as you could save by going vegan.
Because we used averages and sought to simplify our list with actions like “electrify your space heating system,” rather than estimating the impact of every permutation like “switch from a propane furnace in Colorado with X efficiency to a cold climate heat pump with Y efficiency,” our estimates of emissions reductions are rough approximations and not reflective of real-world scenarios.
You’ll see that while these calculations certainly informed our ranking, they were not the sole metric we used to arrange this list. A quantitative analysis alone could not answer our question about the most “high-leverage” actions, so we used our reporting and expertise as climate journalists to fill in that last, crucial gap. Car-related actions and rooftop solar were neck-and-neck by the numbers, but we are confident that getting an EV (if you need to have a car) is more unambiguously necessary for the energy transition than getting rooftop solar. Similarly, while eating less meat can hugely reduce the carbon tied to an individual’s diet, the ripple effect it has on agricultural carbon emissions is less direct and harder to parse than the effect you can have by electrifying all your appliances and shutting down your natural gas account.
Getting an EV:
WattTime — 2.9 mtCO2/yr
Cambium — 4.5 mtCO2/yr
Structural benefits: Destroying demand for oil; increasing demand for charging stations; improving local air quality and chipping away at the social license for operating an internal combustion engine.
Getting rooftop solar:
WattTime — 5.7 mtCO2/yr
Cambium — 1.4 mtCO2/yr
Structural benefits: Get clean energy on the grid faster than utility-scale projects; influence neighbors; reduce electric demand in your neighborhood; reduce strain on grid if paired with a battery and part of a “virtual power plant”
Air-sealing and insulation:
WattTime — 1.2 mtCO2/yr
Structural benefits: Reduce strain on grid and need for grid investment; level out electricity demand to avoid the need to activate dirty “peaker” gas plants; prepare your home for cheaper, more even, and efficient heating and cooling
Switching to a heat pump for space heating:
WattTime — 1.4 mtCO2/yr
Cambium — 1.6 mtCO2/yr
Switching from a gas stove to an induction stove:
WattTime — Roughly even
Cambium — 0.1 mtCO/yr
Switching to a heat pump for water heating:
WattTime — 0.8 mtCO2/yr
Cambium — 1.6 mtCO2/yr
Switching from a natural gas-powered dryer to a heat pump dryer:
WattTime — Roughly even
Cambium — 0.1 mtCO/yr
Structural benefits: Increase demand for and reduce price of electric and efficient appliances; build a case for policies that wind down fossil fuel use; if fully electrifying, sends signal to downsize gas system.
Getting rid of your car:
WattTime — 5.17 mtCO/yr
Structural benefits: Supporting public transit and bike lanes, enabling others to use their cars less, too.
Switching from an omnivorous to a vegetarian diet:
WattTime and HowGood — 2.8 mtCO2/yr
Switching from an omnivorous to a vegan diet:
WattTime and HowGood — 2.9 mtCO2/yr
Replacing the beef in an omnivorous diet with chicken:
WattTime and HowGood — 2.5 mtCO2/yr
Structural benefits: Reduce demand for high-emitting food products, which has the double-pump benefit of reducing the amount of land required to cultivate high-emitting products; if replacing beef with chicken, increase demand for more carbon-efficient proteins; add to the business case for developing efficient plant-based proteins.
Cutting food waste in half:
WattTime and ReFED — more than 0.1 mtCO2/yr
Structural benefits: Reduce demand across the food system; send less food waste to landfill, which helps reduce methane emissions.
Composting all food waste:
WattTime and ReFED — 0.03 mtCO2/yr
Structural benefits: Encourages the build-out of municipal composting programs; encourages responsible farming practices by lowering the cost of compost; reduces demand for nitrogen-based fertilizer.
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Plus, the Trump administration appointed a new “beacon of rational thought.”
We got a look at another major tech company’s latest energy and carbon emissions data — and it’s a doozy. On Wednesday, Microsoft released its annual sustainability report, giving us another year’s worth of energy and emissions data for a company that Heatmap’s annual insiders poll once judged to be one of the best hyperscalers for climate change.
The headline: Microsoft’s climate pollution surged last year. Its carbon emissions increased 25% year-over-year, the biggest single-year rise since at least the pandemic. The company emitted the equivalent of 21 million tons of carbon dioxide in 2025, under standard measurement methods. (It emitted slightly less under its own bespoke measurement system, which counts fuel credits and customer energy use differently.)
Electricity, which the company is buying in larger amounts than ever before to power AI data centers, is driving a good share of that increase. In 2024, carbon pollution produced by generating electricity (as well as from making chilled water and steam) was responsible for 2% of Microsoft’s total corporate carbon footprint. In 2025, that same category made up 13% of its overall emissions. The company’s power use rose by more than 24% over the same period.
That means Microsoft’s power use isn’t rising as fast as other companies’. Google’s most recent sustainability report said its own electricity consumption leapt 37% during the same period.
The report suggests, too, that Microsoft is increasingly wary of local fights over data center development — and how water has come to play an outsize role in those battles. The company reports that 2025 was the first year ever that it “replenished” more water on global scales than it withdrew. But “the next phase of our work is increasingly local,” write Brad Smith, the company’s vice chair and president, and Melanie Nakagawa, its chief sustainability officer. That line is clearly in reference to water, specifically — Smith and Nakagawa add that the company hopes to “restore more water to the watersheds where we operate than we withdraw” — but it could also cover the widespread local opposition to data centers that has exploded over the same period.
There’s one more thing to flag about this report: Although it just came out, it covers Microsoft’s 2025 fiscal year, which began in July 2024 and ended more than a year ago. That means it’s inherently an out-of-date view — it shows us what Redmond was doing as the AI and data center boom got underway, but not what it’s doing now. We’ve known for some time that the company is struggling to meet booming AI power demand while maintaining its power commitments; it paused carbon removal buying in April and revised its own clean energy commitments in May.
I should add that Microsoft would prefer that we look at other numbers in the report. First, under its in-house measurement scheme, the company says it released only 20 million tons of carbon pollution over the past year, a figure that appears in its top-line charts. Second, Microsoft estimates that it would have done even more harm to the climate — producing 34 million tons of climate emissions — if not for its corporate policies of buying zero-carbon electricity, using renewable fuels, and improving the energy efficiency and carbon footprint of its XBox game consoles and Surface tablets.
We asked Microsoft for a follow-up interview, but unfortunately they didn’t make anyone available. I’ll be back tomorrow to look at Microsoft’s report in context with other hyperscalers.
Speaking of a sudden rise in gaseous emissions, the Trump administration today named a new leader of the federal government’s marquee in-house climate research office, the U.S. Global Change Research Program. Per Politico, the new top dog is Matthew Wielicki, a UCLA PhD who (1) has a Substack, (2) refers to himself (in the third person) as a “beacon of rational thought” and “professor in exile” on said Substack, and (3) has suggested on X that climate change belongs in the “Department of Imaginary Problems.”
What can I say? Back during President Trump’s first term, his administration tried to bury the publication of the National Climate Assessment by dumping it on a holiday weekend. Now it seems to have taken another strategy. All I can say is, Dr. Wielicki, from one beacon of rational thought to another: I look forward to following your work.
Water pollution in Wyoming has big implications for the future of data center development.
Did a Meta data center introduce a rare, dangerous bacteria into the sewers system of Wyoming’s capitol city? It’s an environmental pollution mystery with an answer that could decide the future of American AI infrastructure development.
Our drama begins in Cheyenne, Wyoming, where the city’s board of public utilities just wrapped up a lengthy investigation into the presence of Cupriavidus gilardii, a potentially lethal bacteria resistant to heavy metals, in the city’s wastewater treatment systems. Apparently, in February, board staff detected the contamination and shut off public access to the city’s water reuse system, a supply of treated non-potable water fed with treated wastewater and used for lawns, athletic fields, and other green spaces. Officials were worried that spraying this water could release into the environment a bacteria found to cause fatal health outcomes in immunocompromised or elderly people who are infected by it.
The board then identified a culprit – Goat Systems LLC, a Delaware-registered firm without a website Meta tasked with overseeing its large $800 million hyperscale project in Cheyenne dubbed Project Cosmo. Goat Systems lost its wastewater disposal permit. The board plans to also fine Goat Systems for violating city code “along with additional fees for our remediation efforts,” board public affairs coordinator Erin Lamb told me in an email. (The only person publicly affiliated with Goat Systems is Pamela Gregorski, an employee for a company that specializes in creating LLCs. Gregorski, who is linked to other LLCs handling Meta projects across the country, did not reply to requests for comment.)
In public comments and statements to me, the board linked the bacteria to water used to flush the Meta data center’s closed-loop cooling system so debris could be removed before the facility was operational. “We were able to connect the Meta data center campus to this through sampling their site,” Lamb said.
This finding led Cheyenne to also indefinitely ban data center projects in the city from ever disposing of “fill-and-flush water” in the sewer system again.
Meta has not denied contamination was found by the city, but says repeated sampling at its project site failed to come up with any evidence confirming they were the source. One can imagine a scenario where the data center and its design played no role in this bacteria showing up, or that city officials erroneously tagged the tech company with responsibility at a time when they’re dealing with political troubles already.
But what is happening in Cheyenne, first reported last week by Wyoming local press, will have consequences for the future of AI infrastructure whether or not Meta was actually even responsible. Right now, all over the country, tech companies are failing to get permits for their data centers because people are worried about water use. These closed-loop data center designs are supposed to address those concerns, letting large hyperscalers contain, cycle, and reuse the water they use for months or even years. A story like this gaining traction in public discourse around data centers will inevitably damage the sector’s public image unless rectified – and fast.
Cheyenne’s claims about the Meta data center being responsible for the bacteria have already metastasized on social media, disseminated through channels often cited by data center opponents on the ground elsewhere in the country. “REPORT: ‘RARE’ BACTERIA DISCHARGED INTO WYOMING WATERSHED LINKED TO DATA CENTER,” reads one post by a Facebook user Izzy Bella that has been shared more than 2,600 times. “Think of this the next time you hear blatant greenwashed lies like ‘closed loop cooling.” This post has been shared by major anti-data center groups on Facebook, including Pennsylvania Data Center Resistance, a social media page for organizing against projects in the Keystone State.
Going solely off what happened in Wyoming, some in the state are concerned the process of cleaning these loops before opening a data center can produce some nasty byproducts. Dr. Jonathan Brand, a civil engineering professor at University of Wyoming, has been studying the data center buildout in Wyoming for years, watching what’s happened in Cheyenne closely, and like me has way more questions than answers.
Usually, Brand said, a company using water in metal-intensive industrial applications – think a metal plating facility – has to test that fluid before it’s dumped into a municipal sewer system. The chain of events spelled out by the board left him “guessing that didn’t happen here,” and he’s worried the bacteria formed within whatever petri dish-like environment was created inside the network of looping pipes before it was flushed.
“The bacterium was the canary they saw, but you could have a lot of residual metals, which is not something we normally test for at a wastewater plant,” he said. “What else was in that discharge? Nobody else has let us know that and they’re probably not going to.”
City officials claim the water was tested before it entered the sewer and was missed, but there’s a trust deficit between locals and the government on what happened. Little of this information was public until a few weeks ago. Cheyenne residents first learned trouble was afoot on June 26, when the board posted a press release “reminding all residential, commercial, and industrial customers that the discharge of hazardous substances into the sanitary sewer system is strictly prohibited.” Nothing was included about data centers at all; all the board said was that the bacteria was dumped by “an industrial user within the system.”
Then Exie Brown, a Cheyenne resident and GOP candidate for state house, blasted a press release out on social media declaring “a credible source with knowledge of the [board] investigation and sampling” told him the “industrial user” was a data center.
I reached out to Brown asking how he learned about this. His answers were cryptic. “I was given a piece of paper with that name of a bacteria on it,” he told me over the phone, declining to name the “very credible source” who told him about the contamination. “That it was released into our waste water system, that it came from a data center, that it was Meta, that they found out in February, and I needed to check into this.” When I asked why the piece of paper, he replied: “Because they [the source] wanted to keep this quiet. Off the phones and stuff.”
City officials deny any malintentions behind the delay and claim they’re learning about all of this at the same pace as the average resident. “We learned here a week or so ago,” Cheyenne mayor Patrick Collins told me in an interview. He added this wouldn’t have stirred as much interest “had it been something else,” referencing the fact it was from a data center.
“As I understand it, the contractor that was building the site was flushing out a closed-loop cooling system, and when they tested the water everything seemed to be fine, but when it was released into our system, bacteria had grown and was released into our wastewater treatment,” Collins said. “It just happened to be a data center. It’s an unfortunate and highly regrettable situation.”
The mayor acknowledged this contamination will make it “a little tougher” to argue for more data centers in the city. There are currently 10 operational data centers in Cheyenne and surrounding Laramie County, according to estimates from pro-business group Cheyenne LEADS, which has said five projects are under construction – including the Meta facility – and at least nine others are “in various stages of planning or due diligence.”
On Monday, the Cheyenne city council will vote on whether to annex land owned by various nearby property owners for more data center deals, including parcels owned by the family of U.S. Senator Cynthia Lummis. Before this event, Cheyenne was incredibly resistant to the anti-data center backlash, handily rejecting proposals to pause development.
Collins thinks Cheyenne will still be open to the tech sector. But the bacteria changed things. “I recognize there’s going to be challenges as we move forward. It’s something we’re going to have to look into. This was a regrettable situation that happened.”
We will see more transparency soon from the Cheyenne city government about the contamination. The board tells me it’s planning a press conference next week where Lamb told me “more information will be made available.”
Francis Brennan, a public affairs manager in the company’s strategic response division, provided me with a statement from an unnamed “Meta spokesperson” claiming that Fortis – the construction company hired by Meta and Goat Systems LLC – was directly handling water disposal on site. After the board “shared that it found a substance in the city’s wastewater” the construction company “began hauling it offsite.” Meta claimed Fortis has not been able to corroborate the presence of this bacteria in comparable water samples.
“Meta is committed to being a good neighbor in Cheyenne, including through the protection of local water resources, and will continue encouraging collaboration between Fortis and the board until this situation is revoked,” the statement read. Meta declined to answer follow-up questions..
Fortis confirmed they were responsible for dumping water on site when the contamination was discovered. They stated they’ve been unable to confirm the presence of the bacteria. In a statement provided to me, the company said: “Immediately upon learning of the issue, we stopped discharging water into the city’s wastewater system. We have since engaged in a thorough investigation that has included ongoing repeat testing by independent environmental specialists and have found no trace of the substance.”
A conversation with Ross Marchard of the Taxpayers Protection Alliance
This week’s conversation is with Ross Marchard, executive director for the Taxpayers Protection Alliance, a center-right advocacy group that focuses on what it sees are onerous policies potentially hindering responsible collection and use of tax dollars. TPA’s position on AI clearly skews pro-free market, as they’ve recently defended Anthropic from Trump administration attacks. TPA also recently took on the mantle of defending data centers from noise complaints, publishing a paper on Tuesday “debunking myths about data centers being excessively noisy.” The paper references various analyses of data centers by state legislators and local regulators to argue that claims the sector is generally noisy are false.
I asked TPA’s executive director to chat with me about why and how the organization will try to quell these fears. The conversation was really interesting so I decided to share it with you in full, sans light editing for clarity and consistency.
What prompted you to write this report?
Obviously, data center projects have been getting so much media attention. With that attention there’s an outsized share of misinformation in coverage of these data center projects, and politicians have irresponsibly spread this misinformation to try and enact moratoria and heavy-handed restrictions on these projects
TPA wanted to get the truth out. Make sure local residents living alongside these data centers have access to all the information they need. Make sure this misinformation is countered.
Before we get into the noise aspect, how is this focusing on “taxpayer protection”?
Sure, well, great case in point is Loudon County. They’ve embraced data centers and look what’s happened, they take in a billion dollars a year in revenue from these data centers and it’s allowed them to lower property taxes. You see a wider pattern across communities. They rake in a tremendous amount of tax revenue and increasingly common well-paying jobs, six-figure blue collar jobs that are a direct result of allowing data centers into communities.
I know you’re based in D.C., near Loudon County. I went to a data center in Sterling, Virginia, in that county, and it was especially noisy. Sort of a worst case scenario on that. Your report talks about misinformation around noise and data center – where is the misinformation happening on this issue?
We saw a recent court case out of New Jersey that alleges data centers generally are as loud as helicopters. Look, anything is possible for a particular project. But what we can say based on our analysis of the data, studies and sound impact assessments, and analyses by state and local governments is that this isn’t the case for the vast majority of data centers.
No use of land is going to be sound-free. I live right on Georgia Avenue in Washington, D.C., so I know noise. But everything we analyzed showed data centers and energy generation on site are going to make some noise but not enough to be harmful to human health. Often it’s no louder than the typical conversation between two people.
Speaking of Loudon County, though, I can point to an example of a project I myself visited that was I’m sure welcomed at first on tax revenue grounds. Now people seem to regret that decision.
As someone trying to address those who are concerned, is it helpful for you to really just call this concern rooted in misinformation? Is this really going to be potent when projects like the one in Sterling exist?
First and foremost, it’s very important to listen to people and their concerns. If folks are living alongside a data center and say they’re hearing loud noises, that warrants investigation. But it’s also important to look at the full array of evidence and we’ve done that. So far, it does not appear to be the case based on the overwhelming amount of evidence that is publicly available that data centers use a lot of water, use inordinate amounts of electricity, or are loud in a way that disrupts human health.
What do you think the policy solutions are to address these noise concerns? How do you listen to people, without going into overgeneralization, as you put it?
People tend to point out the loudest data centers are the ones with on site energy generation. If you ask the operators of data centers and the companies building data centers, they’ll tell you more often than not the reason they’re putting generation on site because the utility permitting process takes far too long. That’s the result not necessarily of utility regulations but state regulations foisted upon utilities. So you have to look at everything from state regulation to grid operation regulation. If you make the process easier for data centers to get hooked up to the grid, you’ll see less on site energy generation, and a lot of the noise complaints will go away.
So from your standpoint, a solution to the noise complaint is that it should be easier to hook up to the grid?
Yes. If you allow data centers to get hooked up to the grid, you’ll see fewer diesel generators and that’ll mean fewer noise complaints.
Now, I want to be clear, the vast majority of data centers with noise complaints – those are usually because of on-site energy generation – are not unduly noisy. If you want to cut down on those complaints, what makes the most sense is to make it easier for data centers to hook up.
Fun question to close: what was the last song you listened to?
“Yellow” by Coldplay.
Are you listening to “Yellow” while you’re writing about data centers?
I listen to the song sometimes when I’m writing about data centers. It’s also a very good somber reflection song, which is a pretty common sentiment amongst millennials.