Why Everywhere Can’t Warm Faster Than the Global Average – Watts Up With That?

Over the past several years, the mainstream media has repeated tired headlines declaring that “Region X is warming twice (or more) as fast as the rest of the world.” This is false, but it may not be immediately apparent why. These sensational comparisons present regional warming rates out of context. They exoticize statistical quirks in order to generate fear, with scant attention to uncertainties, baseline differences, or the urban heat island effect.

Recent headline examples include:

According to the John Locke Foundation, additional lists abundantly claim similar findings for many regions—Africa, the Mediterranean, India, Pakistan, China, West Asia, Singapore, Japan, even Antarctica—each reported to be warming “faster than the global average,” sometimes “twice,” “three times,” or even “four times” faster.

These headlines all share the same lazy narrative template: choose a region, compare its trend to a global average, trumpet the difference, and ignore any nuance. But note the absurdity: nearly simultaneous claims that Canada, Europe, Russia, Asia, Africa, Antarctica, and more are all warming “twice as fast” or more than the rest of the world.

That’s mathematically incoherent. If multiple regions are all warming twice as fast, the global average would have to be higher so they couldn’t all be twice the average.

There are several major problems with these headlines, but the main issues are these:

1. Statistical framing artifacts
   Regions with more land area, especially high‑latitude or Arctic‑bordering ones, tend to warm faster than oceans. Land heats more rapidly, and ice–albedo feedback amplifies warming at the poles. Because much of Earth is ocean—which warms more slowly—the global average is diluted. Comparing that low average to a land‑heavy region naturally yields a large multiplier. But that doesn’t mean those regions are mysteriously overheating. It just reflects known physical geography.
2. Urban Heat Island (UHI) & infrastructure growth
   Many cited trends include data aggregated over decades in countries undergoing rapid development. Canada, Russia, Europe and Asia have seen major urban expansion. Asphalt, concrete, power plants, and population density raise local ambient temperatures. Weather stations near growing cities or industrial zones record higher trends but it is not purely atmospheric warming. Yet media coverage only rarely mentions UHI, station siting, or energy‑waste heat as contributing factors.
3. Baseline and period selection
   Different studies use different baselines (e.g., 1948‑2016 vs. 1991‑2021) and start dates. That choice can influence rate estimates: comparing post‑1980 data (when polar amplification accelerated) against mid-century baselines inflates the seeming trend. Similarly, countries with older data records may sample different periods than global averages. The media fails to specify these comparators, creating the illusion of uniformity.
4. Sampling bias and sparse coverage
   In remote regions like Siberia, northern Canada, or Antarctic margins, station density is low. Sparse high‑latitude data skew averages when heavily weighted, despite large uncertainty bands. Aggregating such data into national means exaggerates variability versus well‑monitored global surface networks.

Looking at Canada, Europe, Russia, Asia, and even the microcosm of National Parks, all touted as warming faster than the rest of the world, illustrates the variance between records.

First, looking at Canada where cited figures (≈1.7 °C warming versus ~0.8 °C globally between mid‑century and 2010s) derive heavily from Arctic amplification zones and urbanizing southern cities. UHI and expanding energy use in cities like Toronto, Calgary, and Vancouver skew the national trend upward, especially when northern areas lack dense station coverage.

In Europe, the WMO/Copernicus report estimates a warming trend of roughly +0.5 °C per decade on land vs ~+0.2 °C globally since the 1980s. But Europe includes high‑latitude zones plus dense urban centers. Coastal ocean areas are cooler and are not equally counted in continental land average. Declining snow cover in some areas and changing albedo amplify warming readings in Scandinavia and Eastern Europe. Again, urbanization influences the station bias.

Official Russian ministry data report warming at ≈0.42 °C per decade since 1976, or 2.5× the global trend (~0.17 °C). But Russia spans the Arctic land mass, and has been undergoing massive infrastructure projects. UHI impacts, heating systems, industrial development, and station siting biases in growing cities all amplify the perceived warming rate. Also, station coverage in Siberia is scant, which leads to significant uncertainty in that part of the world.

Looking at Asia; recent WMO‑Asia report claims Asia warmed nearly twice the global average (≈1.04 °C above 1991‑2020 baseline in 2024). But Asia is massive and heterogeneous – as in, there is a wide range of geography and urban vs. rural zones in the South, Southeast, Mid‑latitudes, and high‑altitude zones. There has famously been extensive urbanization across India, China, and Southeast Asia. Asian megacities certainly raise local temperature readings. The report lumps multiple region types into one, “Asia,” hiding all of that internal variation and urban effects.

The claim from The Weather Channel that “America’s National Parks Are Warming Twice As Fast As The U.S.” is yet another example of the media’s penchant for cherry-picking regional trends and comparing them to a diluted national average to generate an alarming headline. Much like the dubious “twice as fast” claims made for Canada, Russia, Europe, and Asia, this framing is statistically misleading—especially when it leans heavily on the inclusion of Alaska’s Arctic parks, where natural polar amplification is well established, and on park locations in mountains and deserts that are more sensitive to temperature swings.

By focusing only on select National Parks and amplifying their trends, the article stokes public anxiety without any context, glossing over the more mundane reality that regional rates in the U.S. will always differ due to geography, data coverage, and the simple fact that the “global average temperature” is defined by the vast, slow-warming oceans and non-park lands. The end result is a scare tactic headline that does far more to inflame than to inform.

Again, if every region is proclaimed to warm faster than the global average, then the global average would rise, contradicting the media’s premise. This is like if every student in a class claimed they scored higher than the class average.

The media fails to report uncertainty in the datasets, ignore that land warms faster than oceans, almost always ignore the urban heat island effect and issues with station siting, gloss over disparities like start and end dates for datasets, and treat each region’s warming separately while ignoring trends elsewhere.

These repetitive, formulaic “Region X warming twice as fast as global average” headlines aren’t helping to educate the public about global warming, it really is just statistical sensationalism. All of the claims can’t be true in aggregate, but somehow the media is utterly incurious about how it’s possible for every location to be warming faster than every other location. This is a failure of journalism across the board, every time one of these headlines go out without the proper nuances, it should be embarrassing for the journalists involved.

Anthony Watts

Anthony Watts is a senior fellow for environment and climate at The Heartland Institute. Watts has been in the weather business both in front of, and behind the camera as an on-air television meteorologist since 1978, and currently does daily radio forecasts. He has created weather graphics presentation systems for television, specialized weather instrumentation, as well as co-authored peer-reviewed papers on climate issues. He operates the most viewed website in the world on climate, the award-winning website wattsupwiththat.com.

Originally posted at ClimateREALISM

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