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Orwell2024🏒 Profile picture
@orwell2022
Nov 12, 2021 • 14 tweets • 8 min read • Read on X
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1/ What is wrong in NL?

so many lockdowns
so many test for entry
so many school closures
so mutch fear
masking 1.5 years
teleworking 1.5 years
alcohol bans
months of curfew
police beating demonstrators
QR fundamentalism

and now this ??

Bottom figures: panic why? Image
2/ NL will now punish the unvaxxed with 2G to protect them.

Those are mainly below 35. The healthy young future of NL. Do you see how they need to be protected? Image
3/ Therefore the young and children need to "urgently" be vaccinated, although this data should make you wonder why. ImageImage
4/ But NL was rewarded for all this or not?

I fail to see it. I don't read news nor watch TV. I read data. That's my destiny as scientist. I fail to understand what people are thinking around me. Image
5/ But SWE must have failed totally?

Without lockdowns, everything should have collapsed. 10x deaths forecast!

I fail to see it. NL is worse.

2020 SWE (left) versus 2020 NL (right). Age adjusted mortality rate by age group.

15-64y top
65-74
75-84
85+ bottom Image
6/ NL: It was the worst pandemic since 100 years. We needed to lock down the children and the healthy to protect them. Is this plausible?

I fail to see it.

7/ But Sweden killed people. Their neighbours did much better. No they did not.

The neighbours like DNK need to ask themselves: why do "kill" people 3 years earlier on average? ImageImage
8/ But Finland. See above. 2 years worse life expectancy. You need to have people in the elderly bin in order to make the all age excess possible with the Simpson's illusion (btw. the reason for most panic). Even worse, use z-scores to compare countries.
ImageImage
9/ More on Finland:

10/ About z-scores



What is z-score? Does it have a unit? And any real meaning?
11/ But let's also look to the "holy land" of this new lockdown religion. USA. They must have done better?

No, Sweden outperformed everyone. Without radical measures. No masking. Not blaming children. Not depriving them from school. Not masking them. ImageImage
12/ But Portugal did the MOST stick measures, are 98% vaxxed, and finally did better was a remark from a Dutch gentleman. @Theunis48

He did not like being falsified.

They want lockdown. Are they (the old vaxxed) scared of children and young citizens?

ImageImage
13/ Related "pandemic of the unvaccinated" panic blog, and how MSM and politics fail in math.

Image
14/ Could this be an issue in NL?

left: NL population increase since 1970 in the 75+ group: 300%
right: ICU capacity NL since 1970: -50%

Could it be a problem? @hugodejonge Image

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More from @orwell2022

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
Orwell2024🏒 Profile picture
May 27
The red areas are fully man-made—built or cultivated.
You cannot measure climate anywhere near them.
And MODIS still misses a lot.
In reality, it’s worse.

When we inspected what @BerkeleyEA calls “rural”?
Almost all those stations are worthless Image
Imagine a field looks like it does on the left…alive.
And later, like the right. Dead and brown.
Still think you'll measure the same 2m temperature?
Or might that just—possibly—have a major impact as the surroundings changed? GPT estimates 3C. It's not wrong. Image
Image
Image
We now combine MODIS 🟥 and P2023A 🟪 (10m resolution).

Look: MODIS misses entire urban zones— Ireland. Or Liverpool.

And yet @hausfath and @BerkeleyEarth built their “rural” claims on MODIS junk.
Shameful deception.
The paper needs a retraction.
Image
Read 6 tweets

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