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Orwell2024🏒 Profile picture
@orwell2022
Dec 22, 2021 • 17 tweets • 9 min read • Read on X
Scrolly
1/ I mirror his words back now @dimgrr

The OWID website is one of the worst. After almost a 2 years, there still aren't any age de-confounded ASMR, and the coverage time series only include misleading aggregated figures. OWID delivers one Simpson's paradox after another.
2/ Here some input for @redouad. OWID likes to fear porn with unadjusted death figures. Even better with cumulated "total deaths" (sounds scary right?) over several years.

Better method:

orwell2024.substack.com/p/age-adjusted…
3/ Doing it correctly at OWID, you would be able to understand what is happening Mr. Edouard.

Instead, you troll Netherlands and @rivm while having such a bad service yourself.

Change the name OWID to OACUD:

"Our Age Confounded Useless Data".

Here de-confounded👇
4/ Let's play a game Edouart. Find the pandemic in ASMR data:

Can you solve the puzzle?

5/ You want to understand the Netherlands?



In detail here: orwell2024.substack.com/p/netherlands-…
6/ The results are interesting, and give a very different story once de-confounded by demographics, which your service doesn't do.

You must love to work with the Simpson's paradox.
7/ I animated it for you:
8/ For the "Our Age Confounded Useless Data" at OWID "experts".

I here explain what is really going on without using age confounded "sum of all deaths".
9/ Doing this by flu season (July-June) instead of calendar year (which you are doing) we get an even clearer picture.
The eternal lockdowns aren't that healthy at the end, or are they?
10/ And it gets worse in poor countries:

Can you see how lockdowns saved lives. "Our Age Confounded Useless Data" OWID is co-responsible for fuelling this lockdown mass hysteria. Is it the flavour of your money source? Gates and WHO?

11/ How do you explain that the unvaccinated in east Germany were already dying in 2017? A time machine?

12/ Could it be this?
13/ We can do this on country level as well:

Can you see it Edouart?

14/ Here is Germany with 2021 included:

Vaccine or obesity? What do you think fits better.
15/ Now ASMR for more countries with 2021 included. The grey countries have no data yet in ec.europa.eu/eurostat/datab… up to week 47, therefore not shown.

Orwell2022 age de-confounded data

...or...

@redouad "Our Age Confounded Useless Data" (OWID).

What is better?
16/ Why is OWID doing this? They seem to have more urgent issues like the use of political correct(?) "colour blind" colour codes.

I recommend the comments section where @redouad engaged (showing his irritation):
17/ So let's vote for @redouad

Which map is better in helping the human colour vision brain process information faster?

A) The colour blind version of OWID?
B) The high colour contrast version of Wikipedia?

A hint: can you spot Papua-Neuguinea's problem in OWID's new colours?

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More from @orwell2022

Orwell2024🏒 Profile picture
Jul 1
London is glowing today. Wide urban heat plume. Not “climate change.” Just real estate and concrete. The effect is visible. Quantifiable. Known. This should be a good study day to quantify UHI in more detail once the IR satellite pictures come in. Image
Image
2/ We start low tech. Actually nothing more is needed. There is over 6°C urban heat. It's embarrassing to pretend today's 33°C are comparable to 100 years ago. Subtract 6–8°C for UHI and you get... 25–27°C. Welcome back to reality. Image
3/ Nighttime, Tmin. Watch how they flatten the colors. You’re not supposed to notice the 7°C UHI. We unflatten the colors. Look again: you see it now? Image
Read 6 tweets
Orwell2024🏒 Profile picture
Jun 29
Stockholm downtown: Where’s the UHI correction?

QCU = raw data
QCF = adjusted data

Same numbers.

C A N -- Y O U -- S E E -- IT

Fredrik? Show us.
We can’t see it.

Where exactly is the downward adjustment of 2C-4C? That's the bias you have in 2025. Image
We can also do from SE raw. And we can also show how rural stations look. Frederik does like them. Climate agenda is measured in downtowns of the capitals? Image
Not sure if it’s normal that amateurs now have to lecture academics…?

The downtown station logs hourly=no need for even Ekholm, no need for re-sampling. Does Frederik even know what we mean? Nothing is adjusted. Also PHA leaves it as is as it only detects breakpoints (not UHI). Image
Read 5 tweets
Orwell2024🏒 Profile picture
Jun 27
1/ +++🚨BREAKING🚨+++

Yes. Hausfather & Berkeley Earth are pushing it.
But it’s not a measurement. Not one station shows that.
It’s what you get when you aggregate rot over time.

On the left: 8 pristine USCRN sites. Same y-scale.
Now look what they did.👇 Image
2/ 🚨 BREAKING 🚨

We overlay. Do you see it now?

👉 They erased the real past.
👉 They had no data to do so.
👉 It's pure statistical deception—and wrong.

How? All exposed in the Wickham et al. (2013) audit thread.🧵

Image
3/ AI to fraud is what DNA was to criminals.

Not optional. Not stoppable.

🧠 Fraud — exposed
📺 MSM — vanished
📄 Journals — obsolete
🎓 Academia — imploded
🏰 Ivory towers — rubble

Resistance is pointless.

github.com/orwell2024/usc…
orwell2024.github.io/GHCN-tools/Wic…
Read 6 tweets
Orwell2024🏒 Profile picture
Jun 23
1/ Weil’s beliebt ist: Hohenpeissenberg-Daten – fallen zwar schon nach BU-Filter raus, aber gut: Dr. Connolly war schlau.

Oben: Wie stark sich die Temperatur verändert hat.
Unten: Wie „unrund“ die Messwerte wurden – Entropie der Kommazahlen (h/t Connolly) Image
2/ Was wir hier sehen: Die Datenreihe ist ein Komposit (sehr beliebt, wenig seroes, in der Klima-„Wissenschaft“).
Die Messmethode (und mehr) hat sich verändert – von analogen zu digitalen Sensoren. Die Entropie der Nachkommastellen zeigt das – deutlich.
Image
3/ Diese Wetterstation ist NICHT standortstabil:
praktisch 100 % vom Menschen genutzte Fläche.

🟥 MODIS Urban (Klasse 13)
🟧 MODIS Agrarfläche (12 + 14)
🩸 GHSL Bebauung (2020)

Wer hier „Klima messen“ sagt, betreibt Täuschung.
Blamage für DWD.

Image
Read 12 tweets
Orwell2024🏒 Profile picture
Jun 22
1/ The result is simply wrong.
There are 2 stations there — we can compare.
🟥Red: Carlwood
🟩Green: Gatewick
We clearly see the overshoot.
Moreover: They’re using subhourly spikes (error) from a single, low-inertia sensor.
Total incompetence. Image
2/ Using TMAX from a low-quality single urban sensor is already peak incompetence.

But they go further — they take the spikes.
Even top-tier stations like USCRN show 2–3°C error at peak forcing.
USCRN uses triple sensors — worst spikes get voted out.

Image
3/ The UK has nothing like the USCRN triple-sensor setup.

So when two nearby stations disagree, the right move is simple:
Discard the implausible one — in this case, Charlwood.
What does the agenda-captured @metoffice do?
They run with the error.
They hoax the public.
ISO9001🤡 Image
Image
Read 6 tweets
Orwell2024🏒 Profile picture
Jun 12
1/ Back to Japan temperature trends.

We now add a smaller town: Suttsu. Still not truly rural nor stable site, but better.

We now show:
🟥 Kyoto
⬛️ Tokyo
🟦 Suttsu

Can you see it?

They then aggregate urban-biased data (rot) like this and call it “global temperature.” Image
2/ Here it is: Suttsu.

Not a high-quality reference site like
Valentia Observatory (Ireland) or h-USCRN sites.

But: Lower urban bias than cities like Kyoto or Tokyo. It starts to show the well known flatliner we see at stable sites. Image
Image
3/ To see it better, here’s 4 months side by side:

🟥 Kyoto
⬛️ Tokyo
🟦 Suttsu

This is man-made. The T trend is just unrelated to climate. It measures the site and environment change. Suttsu as expected least impacted. But it still is. Image
Read 17 tweets

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