The UHI trend is +5C / 100 years. Now subtract that from the “records”. Which is the correct way to compare with the past.
If you are an “official” climate scientist, you should be able to take them apart live. But they can’t. A real pseudoscience cult would not allow them to come. Like creationists and the trans “science”. Because they know that evolutionary biologists will accept and roll over them
This is also interesting. If we would actually subtract the well-known UHI from the downtown station: then the trend would even turn downwards. The airport station is not suited for climate accuracy. It goes up for whatever reason of the airport. Growth of AP/infrastructure etc.
R to @orwell2022: While they are professionals (or were in the past) there was obviously a person who had a very strong mind. The person designing the double GIGANTIC rain gauge fence. 😳
That is over-engineering. It drained the budget. So no pressure sensor??!! 🫣
He’s probably in politics now.
In order to answer his question, we HAVE to exclude ALL human interference. Which is the process followed here. It has been laid out by the most professional people. NOAA USCRN team. Selecting locations, which do not have ANY human interference. That _is_ the ONLY way to do it.
It looks that way. But it is not sufficient for quality. Because we can see that humans are/have fully shaped the environment. And that is a problem for accuracy.
It is not enough to look rural. NOAA USCRN team pros knows that. Because they are (were?) professionals.
Very good. He’s playing. So now he figured out that the picture shows hundred percent human shaped environment. And that is a problem. Because we want to measure climate change and not the human induced change of the environment. Keep playing. Keep thinking.
R to @orwell2022: 7/ If interested, you should now be able to understand the 2024 thread.
Codex 5.4 doesn’t only understand it: it replicates it all alone in 10 min. Absolutely impressive. Constant time effort task for 2026 LLMs.
http://orwell2024.github.io/builtmap/agg
Including report. 👆👇
R to @orwell2022: UHI is around 3C. So if we would linearly subtract this being reaching this level in 100 years and the temperature curve would actually even decline.
R to @orwell2022: San Diego. Looking chilly lately. Even UHI can’t help against the cold pacific freezer. Didn’t they hoax with “warming is making arson worse in LA”
Fascinating. We have “global” warming. But if you exclude locations where you can visibly see human activities (buildings etc) you find places without. Surrounded by places with warming (and houses around the thermometers). 😀
R to @orwell2022: 6/ Update:
README, search, clearer titles.
High latitudes added for completeness — not because they’re clean.
These sites are typically excluded: snow cover, albedo shifts, seasonal instability, siting issues.
Use with caution.
Global warming “crisis” is everywhere?
So why does it disappear the moment you leave town?
Too warm? Turn off the heating. Walk outside. Leave town.
Go to a national park.
Strange. The warming “disaster” doesn’t seem to like nature? It only impacts growing human settlements?
R to @orwell2022: 5/ The US is the only place with stations / sites compatible with climate accuracy — stable environment, free from urban impact, commitment to excellence.
That level of quality mindset is unique.
Elsewhere, almost nonexistent. Sole exception: Valentia IR @MetEireann
R to @orwell2022: 4/ Yes, you’ll find hockey sticks.
Look where they sit: urbanized locations.
That’s not a climate signal.
Now try this: find 5-10 truly rural stations (minimum/no urban built around at visual inspection) showing the warming shape?
Tell us the names if you find them. Good luck.
R to @orwell2022: 3/ Method:
Stations: ≥100 yrs, ≥9 months/yr
Built-up: GHSL, 5×5 km
Data:
GHCNv4M raw (QCU) http://doi.org/10.7289/V5XW4GTH
GHSL Built-S http://doi.org/10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA
Tool built: Codex 5.4 (~25 min)
R to @orwell2022: 3/ Low built-up ≠ high-quality station. It’s a mandatory condition, not a guarantee.
Switch to sat view and inspect the site closely— the problems often shows up immediately. Like here.
Coastal locations
commonly have this issue. Water makes them appear rural. They aren’t.
Pinned: 2/ This map shows all stations with 100 years of data and at least 9 valid months per year.
That leaves about 500
🌎 https://orwell2024.github.io/builtmap/ 🌎
Stations are colored by the level of built-up area around the site. Click any station to view its details and temperature curve.
1/ Can you actually find a hockey stick in truly rural stations?
Not in a stitched statistical construct — in a real, coherent station record.
Here’s a tool to test it yourself.
Link below.
Real weather apps now (15:00 forecast): Take a jacket to stay warm.
R to @orwell2022: 4/ More. Asked to validate BU calculations on some examples. It did.
R to @orwell2022: 2/ Don’t believe it? Main time spent was layout.
Pinned: 1/ Impressed by Codex 5.4. Replicated the work from below thread in 15 min. From high level instructions only. That’s another 100x speed up compared to 2024 baby AI times.
R to @orwell2022: Time to remember another great American mind: Thomas Jefferson. He observed. Measured.
He possessed the scientific gene.
Climate “scientists” have PhDs, without having any recognizable scientific skills.
R to @orwell2022: Nice find. A great writer.
Physicist William Happer: NAS member; APS Broida & Davisson–Germer Prizes; Sloan Fellow; Humboldt Award. Former DOE Director of Energy Research and White House NSC Senior Director. Inventor of the sodium laser guide star (modern astronomy pioneer).
There we go. As expected.
“They were training socialist and not scientists”. Yes, we figured out empirically. Good for her that she did as well.
Of course they knew what they highlighted here while intentionally using age confounding during the pandemic.
Good catch by @KoudijsHenk.
Yes, this is a nice one. German Green Party excel agenda plugin can do it.
Codex: 94% weekly usage remaining. Please make it stop. Give us some rest and not just resets. We need to rest. The timeout…the human auto-compress break.
A good demo of what the age verification is about: surveillance of what you are reading. Oh so you want to read a critical scientific paper which exposes the climate agenda? You can do so after taking a picture of yourself and sending it to us.
R to @orwell2022: 'Healthy Life Years' are dropping while Life Expectancy breaks records exposes the flawed HLY. You don’t achieve rising LE by being unhealthy. This contradiction proves how useless and flawed SUBJECTIVE, self-reported health SURVEYS are."
👉Retire this set as it’s wrong.
Please note: the graph on the left is misleading. It is not an OBJECTIVE measurement like LE, but a SUBJECTIVE self-reported label from surveys. Sociology. Life expectancy is an objective outcome. Calculated from actual mortality data, not from self assigned survey responses.
Man beachte die Zeitskala. Im deutschen Staatsfunk („State Media“) bekommt man beim Wetter das Klima für 2100. Ohne Zwang würde niemand diesen Kanal freiwillig konsumieren. Mein Beileid für alle, die das bezahlen müssen.
Still like this work.
Though today it would probably take 10× less time with tools like Codex or Claude Code.
So—who wants to take a shot at replicating / extending it?
The tools exist now.
You have zero excuses.
Codex 5.4 xhigh should manage. It’s better than Opus 4.6 now.
R to @orwell2022: For those who missed the context. We tried to find stations that show that curve. But no one is existing. At least not if using NOAA climate measurement quality criteria.
-Stable environment.
-Fully free from urban activity.
-High-quality data / equipment. -Competent staff.
The measurements are NOT from different sources. They are the SAME. Collection of 99.9% urban garbage.
Ask him: show us 10 weather stations IDs based on ACCURACY QUALITY criteria (stable - urban free - 100 years) that show this curve.
He will _NOT_ be able to provide even one
R to @orwell2022: Amazing.