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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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According to a new analysis shared exclusively with Heatmap, coal’s equipment-related outage rate is about twice as high as wind’s.
The Trump administration wants “beautiful clean coal” to return to its place of pride on the electric grid because, it says, wind and solar are just too unreliable. “If we want to keep the lights on and prevent blackouts from happening, then we need to keep our coal plants running. Affordable, reliable and secure energy sources are common sense,” Chris Wright said on X in July, in what has become a steady drumbeat from the administration that has sought to subsidize coal and put a regulatory straitjacket around solar and (especially) wind.
This has meant real money spent in support of existing coal plants. The administration’s emergency order to keep Michigan’s J.H. Campbell coal plant open (“to secure grid reliability”), for example, has cost ratepayers served by Michigan utility Consumers Energy some $80 million all on its own.
But … how reliable is coal, actually? According to an analysis by the Environmental Defense Fund of data from the North American Electric Reliability Corporation, a nonprofit that oversees reliability standards for the grid, coal has the highest “equipment-related outage rate” — essentially, the percentage of time a generator isn’t working because of some kind of mechanical or other issue related to its physical structure — among coal, hydropower, natural gas, nuclear, and wind. Coal’s outage rate was over 12%. Wind’s was about 6.6%.
“When EDF’s team isolated just equipment-related outages, wind energy proved far more reliable than coal, which had the highest outage rate of any source NERC tracks,” EDF told me in an emailed statement.
Coal’s reliability has, in fact, been decreasing, Oliver Chapman, a research analyst at EDF, told me.
NERC has attributed this falling reliability to the changing role of coal in the energy system. Reliability “negatively correlates most strongly to capacity factor,” or how often the plant is running compared to its peak capacity. The data also “aligns with industry statements indicating that reduced investment in maintenance and abnormal cycling that are being adopted primarily in response to rapid changes in the resource mix are negatively impacting baseload coal unit performance.” In other words, coal is struggling to keep up with its changing role in the energy system. That’s due not just to the growth of solar and wind energy, which are inherently (but predictably) variable, but also to natural gas’s increasing prominence on the grid.
“When coal plants are having to be a bit more varied in their generation, we're seeing that wear and tear of those plants is increasing,” Chapman said. “The assumption is that that's only going to go up in future years.”
The issue for any plan to revitalize the coal industry, Chapman told me, is that the forces driving coal into this secondary role — namely the economics of running aging plants compared to natural gas and renewables — do not seem likely to reverse themselves any time soon.
Coal has been “sort of continuously pushed a bit more to the sidelines by renewables and natural gas being cheaper sources for utilities to generate their power. This increased marginalization is going to continue to lead to greater wear and tear on these plants,” Chapman said.
But with electricity demand increasing across the country, coal is being forced into a role that it might not be able to easily — or affordably — play, all while leading to more emissions of sulfur dioxide, nitrogen oxide, particulate matter, mercury, and, of course, carbon dioxide.
The coal system has been beset by a number of high-profile outages recently, including at the largest new coal plant in the country, Sandy Creek in Texas, which could be offline until early 2027, according to the Texas energy market ERCOT and the Institute for Energy Economics and Financial Analysis.
In at least one case, coal’s reliability issues were cited as a reason to keep another coal generating unit open past its planned retirement date.
Last month, Colorado Representative Will Hurd wrote a letter to the Department of Energy asking for emergency action to keep Unit 2 of the Comanche coal plant in Pueblo, Colorado open past its scheduled retirement at the end of his year. Hurd cited “mechanical and regulatory constraints” for the larger Unit 3 as a justification for keeping Unit 2 open, to fill in the generation gap left by the larger unit. In a filing by Xcel and several Colorado state energy officials also requesting delaying the retirement of Unit 2, they disclosed that the larger Unit 3 “experienced an unplanned outage and is offline through at least June 2026.”
Reliability issues aside, high electricity demand may turn into short-term profits at all levels of the coal industry, from the miners to the power plants.
At the same time the Trump administration is pushing coal plants to stay open past their scheduled retirement, the Energy Information Administration is forecasting that natural gas prices will continue to rise, which could lead to increased use of coal for electricity generation. The EIA forecasts that the 2025 average price of natural gas for power plants will rise 37% from 2024 levels.
Analysts at S&P Global Commodity Insights project “a continued rebound in thermal coal consumption throughout 2026 as thermal coal prices remain competitive with short-term natural gas prices encouraging gas-to-coal switching,” S&P coal analyst Wendy Schallom told me in an email.
“Stronger power demand, rising natural gas prices, delayed coal retirements, stockpiles trending lower, and strong thermal coal exports are vital to U.S. coal revival in 2025 and 2026.”
And we’re all going to be paying the price.
Rural Marylanders have asked for the president’s help to oppose the data center-related development — but so far they haven’t gotten it.
A transmission line in Maryland is pitting rural conservatives against Big Tech in a way that highlights the growing political sensitivities of the data center backlash. Opponents of the project want President Trump to intervene, but they’re worried he’ll ignore them — or even side with the data center developers.
The Piedmont Reliability Project would connect the Peach Bottom nuclear plant in southern Pennsylvania to electricity customers in northern Virginia, i.e.data centers, most likely. To get from A to B, the power line would have to criss-cross agricultural lands between Baltimore, Maryland and the Washington D.C. area.
As we chronicle time and time again in The Fight, residents in farming communities are fighting back aggressively – protesting, petitioning, suing and yelling loudly. Things have gotten so tense that some are refusing to let representatives for Piedmont’s developer, PSEG, onto their properties, and a court battle is currently underway over giving the company federal marshal protection amid threats from landowners.
Exacerbating the situation is a quirk we don’t often deal with in The Fight. Unlike energy generation projects, which are usually subject to local review, transmission sits entirely under the purview of Maryland’s Public Service Commission, a five-member board consisting entirely of Democrats appointed by current Governor Wes Moore – a rumored candidate for the 2028 Democratic presidential nomination. It’s going to be months before the PSC formally considers the Piedmont project, and it likely won’t issue a decision until 2027 – a date convenient for Moore, as it’s right after he’s up for re-election. Moore last month expressed “concerns” about the project’s development process, but has brushed aside calls to take a personal position on whether it should ultimately be built.
Enter a potential Trump card that could force Moore’s hand. In early October, commissioners and state legislators representing Carroll County – one of the farm-heavy counties in Piedmont’s path – sent Trump a letter requesting that he intervene in the case before the commission. The letter followed previous examples of Trump coming in to kill planned projects, including the Grain Belt Express transmission line and a Tennessee Valley Authority gas plant in Tennessee that was relocated after lobbying from a country rock musician.
One of the letter’s lead signatories was Kenneth Kiler, president of the Carroll County Board of Commissioners, who told me this lobbying effort will soon expand beyond Trump to the Agriculture and Energy Departments. He’s hoping regulators weigh in before PJM, the regional grid operator overseeing Mid-Atlantic states. “We’re hoping they go to PJM and say, ‘You’re supposed to be managing the grid, and if you were properly managing the grid you wouldn’t need to build a transmission line through a state you’re not giving power to.’”
Part of the reason why these efforts are expanding, though, is that it’s been more than a month since they sent their letter, and they’ve heard nothing but radio silence from the White House.
“My worry is that I think President Trump likes and sees the need for data centers. They take a lot of water and a lot of electric [power],” Kiler, a Republican, told me in an interview. “He’s conservative, he values property rights, but I’m not sure that he’s not wanting data centers so badly that he feels this request is justified.”
Kiler told me the plan to kill the transmission line centers hinges on delaying development long enough that interest rates, inflation and rising demand for electricity make it too painful and inconvenient to build it through his resentful community. It’s easy to believe the federal government flexing its muscle here would help with that, either by drawing out the decision-making or employing some other as yet unforeseen stall tactic. “That’s why we’re doing this second letter to the Secretary of Agriculture and Secretary of Energy asking them for help. I think they may be more sympathetic than the president,” Kiler said.
At the moment, Kiler thinks the odds of Piedmont’s construction come down to a coin flip – 50-50. “They’re running straight through us for data centers. We want this project stopped, and we’ll fight as well as we can, but it just seems like ultimately they’re going to do it,” he confessed to me.
Thus is the predicament of the rural Marylander. On the one hand, Kiler’s situation represents a great opportunity for a GOP president to come in and stand with his base against a would-be presidential candidate. On the other, data center development and artificial intelligence represent one of the president’s few economic bright spots, and he has dedicated copious policy attention to expanding growth in this precise avenue of the tech sector. It’s hard to imagine something less “energy dominance” than killing a transmission line.
The White House did not respond to a request for comment.
Plus more of the week’s most important fights around renewable energy.
1. Wayne County, Nebraska – The Trump administration fined Orsted during the government shutdown for allegedly killing bald eagles at two of its wind projects, the first indications of financial penalties for energy companies under Trump’s wind industry crackdown.
2. Ocean County, New Jersey – Speaking of wind, I broke news earlier this week that one of the nation’s largest renewable energy projects is now deceased: the Leading Light offshore wind project.
3. Dane County, Wisconsin – The fight over a ginormous data center development out here is turning into perhaps one of the nation’s most important local conflicts over AI and land use.
4. Hardeman County, Texas – It’s not all bad news today for renewable energy – because it never really is.