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As climate writers, my colleagues and I spend a lot of time telling readers that places are hot. The Arabian Peninsula? It’s hot. The Atlantic Ocean? It’s hot. The southern U.S. and northern Mexico? Hot and getting hotter.
But here’s a little secret: “Hot” doesn’t really mean … anything. The word is, of course, of critical importance when it comes to communicating that global temperatures are the highest they’ve been in 125,000 years because of greenhouse gases in the atmosphere, or for public health officials to anticipate and prevent deaths when the environment reaches the point where human bodies start malfunctioning. But when you hear it’s “100 degrees out,” what does that really tell you?
Beyond that you’re a fellow member of the Fahrenheit cult, the answer is: not a lot. Humans can “probably avoid overheating” in temperatures of 115 degrees — but only if they’re in a dry room with 10 percent relative humidity, wearing “minimal” clothing, and not moving, The New York Times reports. On the other hand, you have a high chance of life-threatening heat stroke when it’s a mere 90 degrees out … if the humidity is at 95%. Then there are all the variables in between: if there’s a breeze, if you’re pregnant, if you’re standing in the shade or the sun, if you’re a child, if you’re running a 10K or if you’re napping on your couch in front of a swamp cooler.
In order to better specify how hot “hot” is, a number of different equations and techniques have been developed around the world. In general, this math takes into account two main variables: temperature (the one we all use, also known as “dry bulb” or “ambient air temperature,” which is typically measured five feet above the ground in the shade) and relative humidity (the percentage of air saturated with water vapor, also known as the ugly cousin of the trendier dew point; notably Canada’s heat index equivalent, the Humidex, is calculated from the dew point rather than the relative humidity).
In events like the already deadly heat dome over the southern United States and northern Mexico this week, you typically hear oohing and ahhing about the “heat index,” which is sometimes also called the “apparent temperature,” “feels like temperature,” “humiture,” or, in AccuWeather-speak, the “RealFeel® temperature.”
But what does that mean and how is it calculated?
The heat index roughly approximates how hot it “actually feels.”
This is different than the given temperature on the thermometer because the amount of humidity in the air affects how efficiently sweat evaporates from our skin and in turn keeps us cool. The more humidity there is, the less efficiently our bodies can cool themselves, and the hotter we feel; in contrast, when the air is dry, it’s easier for our bodies to keep cool. Regrettably, this indeed means that insufferable Arizonans who say “it’s a dry heat!” have a point.
The heat index, then, tells you an estimate of the temperature it would have to be for your body to be similarly stressed in “normal” humidity conditions of around 20%. In New Orleans this week, for example, the temperature on the thermometer isn’t expected to be above 100°F, but because the humidity is so high, the heat toll on the body will be as if it were actually 115°F out in normal humidity.
Importantly, the heat index number is calculated as if you were standing in the shade. If you’re exposed to the sun at all, the “feels like” is, of course, actually higher — potentially as many as 15 degrees higher. Someone standing in the New Orleans sun this week might more realistically feel like they’re in 130-degree heat.

Here’s the catch, though: The heat index is “purely theoretical since the index can’t be measured and is highly subjective,” as meteorologist Chris Robbins explains. The calculations are all made under the assumption that you are a 5’7”, 147-pound healthy white man wearing short sleeves and pants, and walking in the shade at the speed of 3.1 mph while a 6-mph wind gently ruffles your hair.
Wait, what?
I’m glad you asked.
In 1979, a physicist named R. G. Steadman published a two-part paper delightfully titled “The Assessment of Sultriness.” In it, he observed that though many approaches to measuring “sultriness,” or the combined effects of temperature and humidity, can be taken, “it is best assessed in terms of its physiological effect on humans.” He then set out, with obsessive precision, to do so.
Steadman came up with a list of approximately 19 variables that contribute to the overall “feels like” temperature, including the surface area of an average human (who is assumed to be 1.7 meters tall and weigh 67 kilograms); their clothing cover (84%) and those clothes’ resistance to heat transfer (the shirt and pants are assumed to be 20% fiber and 80% air); the person’s core temperature (a healthy 98.6°F) and sweat rate (normal); the effective wind speed (5 knots); the person’s activity level (typical walking speed); and a whole lot more.
Here’s an example of what just one of those many equations looked like:

Needless to say, Steadman’s equations and tables weren’t exactly legible for a normal person — and additionally they made a whole lot of assumptions about who a “normal person” was — but Steadman was clearly onto something. Describing how humidity and temperature affected the human body was, at the very least, interesting and useful. How, then, to make it easier?
In 1990, the National Weather Service’s Lans P. Rothfusz used multiple regression analysis to simplify Steadman’s equations into a single handy formula while at the same time acknowledging that to do so required relying on assumptions about the kind of body that was experiencing the heat and the conditions surrounding him. Rothfusz, for example, used Steadman’s now-outdated calculations for the build of an average American man, who as of 2023 is 5’9” and weighs 198 pounds. This is important because, as math educator Stan Brown notes in a blog post, if you’re heavier than the 147 pounds assumed in the traditional heat index equation, then your “personal heat index” will technically be slightly hotter.
Rothfusz’s new equation looked like this:
Heat index = -42.379 + 2.04901523T + 10.14333127R - 0.22475541TR - 6.83783x10-3T 2 - 5.481717x10-2R 2 + 1.22874x10-3T 2R + 8.5282x10-4TR2 - 1.99x10-6T 2R 2
So much easier, right?
If your eyes didn’t totally glaze over, it actually sort of is — in the equation, T stands for the dry bulb temperature (in degrees Fahrenheit) and R stands for the relative humidity, and all you have to do is plug those puppies into the formula to get your heat index number. Or not: There are lots of online calculators that make doing this math as straightforward as just typing in the two numbers.
Because Rothfusz used multiple regression analysis, the heat index that is regularly cited by the government and media has a margin of error of +/- 1.3°F relative to a slightly more accurate, albeit hypothetical, heat index. Also of note: There are a bunch of different methods of calculating the heat index, but Rothfusz’s is the one used by the NWS and the basis for its extreme heat alerts. The AccuWeather “RealFeel,” meanwhile, has its own variables that it takes into account and that give it slightly different numbers.
Midday Wednesday in New Orleans, for example, when the ambient air temperature was 98°F, the relative humidity was 47%, and the heat index hovered around 108.9°F, AccuWeather recorded a RealFeel of 111°F and a RealFeel Shade of 104°F.
You might also be wondering at this point, as I did, that if Steadman at one time factored out all these variables individually, wouldn’t it be possible to write a simple computer program that is capable of personalizing the “feel like” temperature so they are closer to your own physical specifications? The answer is yes, although as Randy Au writes in his excellent Substack post on the heat index equation, no one has seemingly actually done this yet. Math nerds, your moment is now.
Because we’re Americans, it is important that we use the weirdest possible measurements at all times. This is probably why the heat index is commonly cited by our government, media, and meteorologists when communicating how hot it is outside.
But it gets weirder. Unlike the heat index, though, the “wet-bulb globe temperature” (sometimes abbreviated “WBGT”) is specifically designed to understand “heat-related stress on the human body at work (or play) in direct sunlight,” NWS explains. In a sense, the wet-bulb globe temperature measures what we experience after we’ve been cooled by sweat.

The “bulb” we’re referring to here is the end of a mercury thermometer (not to be confused with a lightbulb or juvenile tulip). Natural wet-bulb temperature (which is slightly different from the WBGT, as I’ll explain in a moment) is measured by wrapping the bottom of a thermometer in a wet cloth and passing air over it. When the air is dry, it is by definition less saturated with water and therefore has more capacity for moisture. That means that under dry conditions, more water from the cloth around the bulb evaporates, which pulls more heat away from the bulb, dropping the temperature. This is the same reason why you feel cold when you get out of a shower or swimming pool. The drier the air, the colder the reading on the wet-bulb thermometer will be compared to the actual air temperature.
Wet bulb temperature - why & when is it used?www.youtube.com
If the air is humid, however, less water is able to evaporate from the wet cloth. When the relative humidity is at 100% — that is, the air is fully saturated with water — then the wet-bulb temperature and the normal dry-bulb temperature will be the same.
Because of this, the wet-bulb temperature is usually lower than the relative air temperature, which makes it a bit confusing when presented without context (a comfortable wet-bulb temperature at rest is around 70°F). Wet-bulb temperatures over just 80, though, can be very dangerous, especially for active people.
The WBGT is, like the heat index, an apparent temperature, or “feels like,” calculation; generally when you see wet-bulb temperatures being referred to, it is actually the WBGT that is being discussed. This is also the measurement that is preferred by the military, athletic organizations, road-race organizers, and the Occupational Safety and Health Administration because it helps you understand how, well, survivable the weather is, especially if you are moving.
Our bodies regulate temperature by sweating to shed heat, but sweat stops working “once the wet-bulb temperature passes 95°F,” explains Popular Science. “That’s because, in order to maintain a normal internal temperature, your skin has to stay at 95°F degrees or below.” Exposure to wet-bulb temperatures over 95°F can be fatal within just six hours. On Wednesday, when I was doing my readings of New Orleans, the wet-bulb temperature was around 88.5°F.
The WBGT is helpful because it takes the natural wet-bulb temperature reading a step further by factoring in considerations not only of temperature and humidity, but also wind speed, sun angle, and solar radiation (basically cloud cover). Calculating the WBGT involves taking a weighted average of the ambient, wet-bulb, and globe temperature readings, which together cover all these variables.
That formula looks like:
Wet-bulb globe temperature = 0.7Tw + 0.2Tg + 0.1Td
Tw is the natural wet-bulb temperature, Tg is the globe thermometer temperature (which measures solar radiation), and Td is the dry bulb temperature. By taking into account the sun angle, cloud cover, and wind, the WBGT gives a more nuanced read of how it feels to be a body outside — but without getting into the weeds with 19 different difficult-to-calculate variables like, ahem, someone we won’t further call out here.
Thankfully, there’s a calculator for the WBGT formula, although don’t bother entering all the info if you don’t have to — the NWS reports it nationally, too.
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Current conditions: Typhoon Champi swept past Taiwan, leaving one dead and 500 injured as the weakened storm slams into South Korea and Japan • Hurricane Vance is churning off Mexico, bombarding the coast with waves up to 13 feet tall • Tropical Storm In-Fa could strengthen into a powerful storm as it heads toward the Northern Mariana Islands, a U.S. territory.
Brazilian President Luiz Inácio Lula da Silva has secured an unprecedented fourth term, winning 51% of votes in Sunday’s run-off election with far-right challenger Flávio Bolsonaro. The photogenic son of the imprisoned former president Lula defeated in 2022, Bolsonaro, 45, had promised to cut taxes, slash government spending on things like environmental enforcement, and bring South America’s largest economy in closer alignment with President Donald Trump. His message, which resonated in the Amazon’s frontier boomtowns, secured Bolsonaro more votes in the first round of the election on October 4. Lula’s win makes history twice over. He’s the first since democracy returned to Brazil in 1988 to pull ahead and defeat the first-round winner in the runoff. He’s also the first president elected to four terms, with his first two served between 2003 and 2011. On energy, the differences between the candidates are primarily over the role of government in the market, with the conservative Bolsonaro advocating more privatization and Lula seeking to strengthen the role of state-backed enterprises in generating income for the government and carrying out industrial policy.
On actual energy technologies, however, the discrepancy is relatively small, at least compared to the partisan divides in U.S. politics. Brazil’s grid is overwhelmingly clean, powered primarily by hydroelectricity. And Lula, an octogenarian leftist, has ramped up production of oil and gas through Brazil’s state-backed Petrobras. Lula’s signature since he first won the presidency in 2002 has been growing the economy and shrinking poverty while reducing deforestation of the Amazon. Bolsonaro, by contrast, had promised to strip away protections for the world’s largest tropical rainforest. The Amazon is currently seeing a surge of fires as ranchers look to clear woodlands to make way for more cattle pastures. Folha de S.Paulo, Brazil’s newspaper of record, wrote that Trump would now be Lula’s chief foreign challenge.

Brazil’s election wasn’t the only political earthquake on Sunday. Serbian voters booted out former President Aleksandar Vučić, a pro-Russian figure widely described as a “strongman” in the Western press, in a student-led movement that the Associated Press said heralded a “seismic shift” in the Balkan country’s politics. The victorious Student List party had formed adjacent to protests against what would have been Europe’s largest lithium mine, Rio Tinto’s so-called Jadar. Amid increasingly fierce protests, the Anglo-Australian mining giant mothballed the project last year. Vučić had championed the mine as a way to improve his country’s ties to the West as European battery makers look for sources of the metal outside of China. His defeat signals little hope of the project’s return. Serbia’s other energy megaproject, its planned first nuclear power station, now faces new uncertainty. The Student List has not, from what I can tell, made any statements for or against atomic energy. But the previous government had been in talks with Russia’s Rosatom and the Chinese government to build its first reactors. That decision on whether and with whom to move forward on the plant will now fall to the new government.
Helium may seem like a pretty casual commodity, the sort of thing you can buy a tank of in Costco to fill party balloons. But the gas, which has the lowest boiling point of any element, has a wide range of industrial applications. It’s used to make semiconductors, as a tool to detect leaks in natural gas pipelines, and as a coolant in a next-generation class of high temperature gas-cooled nuclear reactors. Now the Department of Energy has anointed helium with a special strategic status. On Friday, the agency designated helium as the latest critical material, a key step toward directing more federal funding toward domestic production of the gas. The U.S. is already among the top three suppliers of helium in the world. But global supplies took a hit this year when Iran closed off the Strait of Hormuz, preventing Qatar’s vast helium exports from reaching the market. “Helium is essential to producing the semiconductors and advanced technologies that power our economy,” Secretary of Energy Chris Wright said in a statement. “By designating helium as a critical material, we are taking another step toward securing our supply chains, creating American jobs, and ensuring the United States leads the world in energy and technological innovation.”
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The Russian energy giant Novatek is “secretly controlling” Polar Train LNG, the Trump-linked company developing a liquified natural gas export terminal on Alaska’s North Slope, the Financial Times reported. The venture — launched in March by Gentry Beach, an investor with ties to the Trump family, to repurpose work the Russians had done on a facility in Alaska — had “featured in high-level negotiations between Washington and Moscow over potential business deals that could help secure an end to Russia’s war in Ukraine,” the newspaper reported. Polar has been awaiting permission from the Trump administration to circumvent U.S. sanctions to negotiate with Russia. Now Polar LNG’s American chief executive, Joel Riddle, told the FT “that he discovered Novatek was already financing the venture and directing operations before the necessary approvals were obtained.” He resigned from his post last month, along with most of the executive leadership team. “I resigned as chief executive of Polar LNG because I felt uncomfortable that the Russian company Novatek was financing and ultimately controlling the strategic direction of the company,” Riddle said. “Building an LNG facility in Alaska is a very strategic project for the U.S. and as a patriot I feel this needs to be developed using US technology and funded by U.S. investors, not a Russian company.”
Unlike other kinds of intermittent renewable power sources, tidal energy promises almost guaranteed predictability. The problem, however, is that it’s geographically limited. A lot of the most advanced projects attempting to make the technology work are in Canada or Europe. Yet renewable technologies have, in recent decades, found commercial viability after sorting out the details of their hardware in Asia. That’s what makes tidal energy developer Minesto’s project in Indonesia so interesting. It’s in one of Asia’s fastest-growing economies, with an archipelagic geography that offers a lot of potential for tidal. Last week, the trade magazine International Water Power & Dam Construction reported that the company had been chosen to participate in the Sweden-Indonesia Sustainability Partnership, a Swedish government-backed program backing clean energy projects in Indonesia. “Indonesia has significant untapped potential in ocean and hydropower resources, which can play an important role in diversifying the country’s renewable energy mix,” said Johan Lennefalk, the acting country manager for Indonesia at Business Sweden, the government agency that promotes Swedish companies overseas. “Minesto’s technology offers a particularly promising solution by harnessing tidal currents that have previously been difficult to utilise, providing predictable renewable electricity that complements other hydropower and ocean energy solutions.”
Remember when solar panels were exclusively large, rooftop rigs? The commodification of the solar panel in recent years has begun making photovoltaics almost ubiquitous, a reality set to expand as more countries legalize plug-in solar that can work on a balcony like a satellite dish. Chinese panels are now so cheap that Europeans have started using them to build garden fences. Now, in Nigeria, solar panels are the must-have wedding gift du jour. Bloomberg reports that solar panels, batteries, and inverters “are turning up on wedding registries, alongside more traditional gifts such as bed linen and microwaves.”
Talking with Leah Qusba, the CEO of GoodPower.
This week’s conversation is with Leah Qusba, CEO of GoodPower, which recently released a survey experiment you need to read. Conducted with Data for Progress, the project, published Monday, takes a unique approach to asking people why they opposed data centers for artificial intelligence and whether constructing renewable energy instead of gas power moves the needle at all in their support for AI infrastructure near them. Instead of just asking polling questions, they posed various hypothetical project designs to people — and the results were eye-popping. Turning to solar instead of gas? Might not be a panacea for gaining approval at the local level. Protecting electricity rates from going sky-high? Now that’s a way to get buy-in.
The following conversation was lightly edited for clarity.
Before we jump into the survey, is the data center boom changing the trajectory for renewable energy development in the U.S.?
If you look back over the last decade and a half, the largest global procurer of decarbonized electricity has been the Big Tech industry. I think we’re still seeing the trendlines of that today. The speed and scale of data center development is driving a lot of incremental clean energy growth.
I think we’re really at a crossroads right now because of the speed to meet rising demand and because, as people are scrambling to find electrons, commitments previously around purchasing and procuring decarbonized electricity have slid a little bit. We’ve seen proposals over the last six months or so have roughly doubled for combined cycle gas. We’re at this crossroads: Are we going to leverage this moment to drive incremental clean and protect ratepayers in the process? That’s the only way we’re going to be able to build this infrastructure.
Or are we going to go another path where we’re locking in decades of combined cycle gas?
I think voters across the political spectrum think this is a very important issue, and people are thinking about this as we move closer to November.
Walk my readers through the survey experiment you ran with Data for Progress.
The impetus was that we wanted to demonstrate to any stakeholder in the world — a data center developer, a household concerned with their rising electricity bills, policymakers trying to meet this new energy moment — what Americans want, which is guarantees from data centers that their electric bills won’t increase. They want strong electricity grid upgrades. They want home energy upgrades like rooftop solar, heat pumps, storage systems, or battery walls.
We wanted to make the case. We’ve seen surveys recently that if you say you’ll power them with renewable energy, favorability will increase. We wanted to go a step further and set up an experiment to see the difference between what people say they’ll do and what they’ll actually do. Often there’s a difference when they’re faced with a real-life situation. Even when renewable energy support is high — even Republicans favor large-scale solar — then why do we have NIMBYism? Why do we have public opposition? Why are projects being phased out or canceled entirely because of protests? That’s because of a gap between what people say they’ll do and what they’ll actually do.
The first part of the experiment was a typical poll asking people how they felt and measuring what they said they would do. What people indicated was similar to other polls circulated widely and picked up by the press, that when you say a data center is powered by solar, people say they’ll be more favorable. But then we put them in a setting where we told them a data center in their community was going to be powered by either gas or renewables, and we had other treatment conditions that would be manipulated. We told them, for example, that there would be a rate-binding guarantee, that 100% of their costs would be paid for by the data center and their electricity rates would not go up. We also gave them conditions where they’d get residential solutions.
When we compared what people said they would do with what they actually would do, what we found was pretty definitive. Really, Americans indicated a strong preference that data center developers guarantee stable electricity rates or provide them with meaningful residential or community benefits. Those are really the only two things in a real-life situation that moved support for data centers.
What we didn’t see, actually, is that renewable energy powering the data centers alone was enough. It didn’t have enough statistical significance to improve data centers’ support on its own.
Now, connecting the solar to stable electricity rates or ratepayer protections, that’s helpful. Could we do that? Absolutely, and that’s a strong recommendation to think about centering communities because they want affordability. But the technology alone — solar versus gas — had a null effect.
It’s great to talk about solar, especially because there’s high favorability for solar. Connecting affordability to clean energy is a great strategy, and we hope tech companies take this to heart! The only way we’re going to build social permission for these technologies is to do it in a community-centric way that guarantees rates won’t increase and guarantees community benefits. We want to make sure people ask for all this in negotiations and that policymakers think about all this, especially federally as we think about permitting reform.
What’s the relationship to permitting reform?
I think it’s important that it preserves maximum ratepayer protections and large load tariffs. Thinking about that, as well as bringing-your-own-clean-energy, or BYONCE, is in great parallel with the findings. If we can deliver that through federal legislation, it’s something that would be supported by the data we gathered through this experiment.
Why was there no statistically significant difference between solar and gas?
I don’t think it’s a question of why people were agnostic about technology. I think it all just boils down to pocketbook-kitchen-table issues. We live in a cost of living crisis where upwards of 65% of Americans live paycheck to paycheck. The cost of everything from gas prices at the pump to groceries … When we look at the data and inflation and what it takes to build a home, its very clear the message the American electorate is sending is that affordability is the queen issue right now.
Until we meet demand in a community centered way and a ratepayer centered way, with maximum ratepayer protections and large load tariffs for these companies, we’re going to see incredible polarization across America where these data centers are being built.
What’s next, from a research perspective?
I think there were a few surprising things we found in the data we want to dig into.
For example, there’s been talk of spillover opposition — that by associating solar with data centers, we might pollute public opinion around solar. We actually asked questions in the survey experiment about this and so far, solar hasn’t been tarnished by data centers. It showed zero spillover. It does not drag down favorability for solar.
We also found that Americans trust renewable energy developers second only to consumer watchdogs, which we found to be fascinating. By contrast, they trust data center developers the least. In other words, choose to pay for a decarbonized electron if you can because associating yourself with clean, fast-to-power electrons has a true positive association there. It’s in the data.
One last one: Artificial intelligence and public opinion about AI was the top driver of opposition to data centers. It was feelings about AI as a technology superseding personal ideology and backgrounds, even if they cared about climate change. Skepticism about AI and data centers isn’t a partisan issue. Anti-AI sentiment sits evenly across Democrats, Republicans, and independents alike.
And more of the week’s top fights around development.
1. Umatilla County, Oregon – A small town in Oregon this week declared a state of emergency over fears that a statewide pause on data center permits will harm its economy.
2. Saratoga County, New York – Is Trump’s country music superstar-turned-power-project combatant John Rich preparing to debut a new song about solar farms, or something more?
3. Eau Claire County, Wisconsin – There’s now a must-watch race to see who is more anti-transmission in the race for Wisconsin’s 3rd congressional seat.
4. Adams County, Colorado – Here’s the chaser you needed: the largest solar farm approved in the Rocky Mountains.