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Orwell2024🏒 Profile picture
@orwell2022
Jul 23, 2021 • 14 tweets • 12 min read • Read on X
1/ #Myocarditis/#Pericarditis rates after #vaccination.

#CDC #VAERS US data (June) versus German #PEI (July).

I start with the result graph. For details and source see below. Conclusion: the US and German data are very comparable. Image
2/ Sources.

CDC USA report: June 23, 2021, Tom Shimabukuro

Paul Ehrlich (PEI) Germany report, July 15, 2021
3/ Data preparation:

1) The CDC report is very well done and properly normalized. No further calculations are needed. All is done and ready.

2) The German report is poor. No normalization by doses, nor by sex. In General the report is of a very low quality.
4/ So for the German PEI report, some calculations and estimations were needed. The administered dose per age group are also not published and need to be estimated.

Approach: use German 2019 population pyramid and multiply by vaccination rate (estimated). Here the result. Image
5/ Remarks. Germany hasn't given a general recommendation for vaccinating children below 18.

Thanks to the #STIKO, they didn’t follow the unethical example of CDC.

That’s why the German curve begins at 18 only. The data below 18 is fortunately not available. Image
6/ The general quality of the German PEI reports are of low quality (lacking dose/age normalization etc.).

The comparison with the high quality report by CDC shows this very clearly. But judge for yourself.

@RWMaloneMD @waukema @AlexBerenson @Lareb_NL @CDCgov @rki_de
7/ Many thanks again to #STIKO and Prof. Dr. Thomas Mertens who resists the unethical pressure by @Karl_Lauterbach and other #zerocovid members.



@BrinkmannLab @ViolaPriesemann @jensspahn @hugodejonge @maybritillner
8/




9/ Bonus round: why vaccinating children is unethical:
Using the same type of normalization as decribed above, I estimated the age dependant vaccine CFR from the German PEI report and compared it with the C19 IFR for healthy. IFR source below here:
Image
10/ All safety features have fallen. This here is unprecedented. Politics make medical decisions now and ignore #STIKO. The kids must be vaccinated at all costs it looks like. And rumors say that STIKO will change it’s recommendation. Based on new data? No.
11/ Risk - Benefit the wrong way around. It’s absolutely “heartbreaking” (sorry for the sarcasm).

Unfortunately my little thread will grow bigger. There is a new PEI report available. I’ll update my graphs.

#STIKO #FDA #PEI #CDC shame on you.
12/ Interesting. Canadian data. Significant higher rates are seen, more in line with the the Israel data.
13/ Here is a graphical comparison: Canada vs. Israel (claimed source is a FOI request: )

Clearly CDC US and PEI DE have an underreporting issue while Canada and Israel show similar (higher) numbers.

What about @Lareb_NL ? Nothing to report? Silence? Image
14/ The potential root cause for the age curve has been discussed by @bringsmileback here: a combination of testosteron and stronger Th1 inflammatory response in young boys compared to older men:

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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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