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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
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 6 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
Orwell2024🏒 Profile picture
May 23
Maybe some still don’t grasp the novelty here. This shows what the “climate consensus” is built on: MODIS — a coarse, fully outdated DB.

Now compare that to P2023A.

So—@BerkeleyEarth @hausfath—still think your pick is better? Let me know. And explain why. Image
Thanks to this trick, they labeled urban sites as “rural”—then obviously saw no difference.
That paper must be retracted.
Back then: resolution limits.
Today? Ignoring P2023A is agenda.
Anyone can open Google Earth and see houses where MODIS finds none.

Image
In a nutshell: using decades-old MODIS (500m, binary) to argue “nothing’s there” versus P2023A 10m high res color is like claiming your iPhone 1 low-light photo proves the room was empty—
while the iPhone 16 Pro with AI sees everything.
Only dishonest clowns run that defense.
Read 9 tweets
Orwell2024🏒 Profile picture
May 9
1/ April resists warming.
Remember: warming causes cooling.
If you’re freezing, you're actually warming.
Colder weather confirms it’s warmer.
We must prevent cooling to stop warming.
Yes, it still was the warmest April in SW models.
Now pay your CO2 tax please and eat vegan. Image
2/ We check ourselves. The ClimDiv curve is even cooling 1.37C compared with the stable USCRN sites. Image
3/ Expand the range to 115 years.
Stable USCRN sites show nothing.
ClimDiv now shows warming—entirely from adjustments.
Wrong ones: cooling rural, not towns.
Signal upside down.
That's not science—it’s appalling. Image
Read 6 tweets
Orwell2024🏒 Profile picture
May 5
1/ This proxy is the most dishonest narrative in the entire climate agenda.
Anyone pushing it isn’t doing science — they’re signaling allegiance.
If you still treat them seriously, that’s on you.
They’re not analysts. They’re ideological fools. #ClimateScam Image
Image
2/ Last week of April 2025. Rural Nagano. ~700m elevation. Full bloom.
I challenge the town-proxy scammers to show us blooming in late May or June a hundred years ago.
Go ahead— make fools out of yourself by failing.
👉The consensus now = defund climate activists (“academics”). Image
Image
Image
Image
3/ …been cultivated in Japan since the Edo and Meiji periods. Bloom timing is widely celebrated, recorded, and scheduled for festivals.. There are no records of cherry festivals here occurring in late May or June. That would have been seen as “weirdly late,” even then… Image
Image
Image
Image
Read 6 tweets
Orwell2024🏒 Profile picture
Apr 12
1/ I was told non US GHCN “raw” is adjusted already.

-----TRUE-----

Now I see it. Gosh.

Composite. 2x adjusted. NOAA doesn’t even know where non-US stations are—or what they’re measuring. Their own US data (USCRN) is light-years better. But for “global”? It’s clown-tier level. Image
2/ And here it is—the DOUBLE-adjusted COMPOSITE.
Not raw. I doubted @connolly_s at first—like someone denying their 2nd-hand car is stolen, crash-salvaged, and repainted twice. Turns out he was right.
NOAA’s “global” QCU (non-US): not raw.
Image
Image
3/ Credit where due.
Normally I block on first bad-faith signal.
But intuition said: bait him back.
Let’s see what he hands over.
And he did:
✔ Clown location
✔ 120% urbanized
✔ Composite
✔ Adjusted twice
Thanks for the assist.
Image
Image
Read 5 tweets

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