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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
Nov 11
1/ Deutschland, die Energienarren der Welt: Thread.

Hier ist die Preiskurve (31 Tage, stündlich). Kaufe teuer, verkaufe billig. Bottom Nailers (oder auch Narren). Angeblich importieren sie, weil es billiger ist? Nein. Die Sonne scheint eben nicht nachts. Image
2/ Quelle: Agora Energiewende – de facto der Familienbetrieb der Grünen. Man sieht sofort, was los ist: Deutschland, auf einem Irrweg, in bestem Stil echter Narren. Verkaufen billig, kaufen teuer, alles im Namen der „Rettung“. Klar, wer nachts Sonne braucht, zahlt eben drauf. Image
3/ Jetzt wierholen wir zusammen, wie echte Hofnarren:

„Importieren ist billiger“
„Schweden hat versagt“
„Lauterbach rettet Leben“
@roberthabeck for Chancellor. Ab hier anders. Image
Read 5 tweets
Orwell2024🏒 Profile picture
Oct 7
1/ The use of the BI (bigness index) to classify rural/urban areas is flawed. Landsat-derived GHSL BU (Global Human Settlement Layer Built-Up) data shows the rural curve (in green 🟩) consistently trailing the urbanized GHSL BU data (10% BU = typically for small towns 🟧). Image
2/ The Bigness Index (BI) is not only a poor parameter but outdated. Even Kabul Airport shows up with BI=0.

Shown below: GHCN stations labeled BI=0, highlighting those with 2% 🟠 and 10% 🔴 built-up areas in 2020 (from the EU-GHSL).

Image
3/ Analyzing further: nearly half of the stations are classified as rural (BI=0). This is complete nonsense, as the GHSL built-up percentages 2020 for these stations clearly indicate. Nearly all are, in fact, urban—which explains why they see no difference to officially urban. Image
Read 32 tweets
Orwell2024🏒 Profile picture
Oct 1
1/ Climate stripes - the origins.

Can we do better than Ed Hawkins? Yes, we can.

The perfect smoothed climate stripe, maximizing color pivot for ultimate fear manipulation.

Perfection—better than the original. Or in other words: how to manipulate your mind. Image
2/ Here’s how it’s done:

1 Pick a highly urban(izing) place: Stockholm.
2 Calculate anomaly.
3 Maximize range.
4 Apply LOESS for max color pivot (=mindfuck)

Note: UHI in Stockholm is ~2°C. Never mind that—the goal is to manipulate your minds.


Image
3/ Now let's try GOTHENBURG. Hold on a second... what's happening? It looks like we've accidently landed in the US Midwest—in the middle of nowhere, where hockey sticks don't flourish. Nice flatliner we have here, just like CHAMA.

Image
Read 4 tweets
Orwell2024🏒 Profile picture
Sep 10
They're trolling / insulting. The request was clear: compare ERA5 2km / @meteoblue with @AEMET_CValencia sensor at an hourly level. If they match at night, cloudy days, winter, but the sensor shows higher T in summer clear skies / no wind / day 👉 sensor is heat-biased. So? Go.
Thanks, @meteoblue. Normal conversation can be so easy. If the Spanish gentlemen would now provide access to their hourly station dataset, we can overlay it with the fine-grid ERA5 2km hourly product and see what's going on. Does that sound like a way forward @AEMET_CValencia ?

Image
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@meteoblue @AEMET_CValencia He clearly doesn’t understand their response nor my request. At this stage, I just want him to provide THE HOURLY DATA. What the answer actually means is that the 30 km cell is more representative of the region’s climate—yes, it’s better than the station. Well done @ChGefaell 👍.

Image
Image
Read 10 tweets
Orwell2024🏒 Profile picture
Sep 3
1/ Such places have no credibility for accurate bias free measurements. It's the opposite of a stable environment and per default a diesel powered urban expedition place. We see how the melting starts around the airport and the town.

How to measure? 👉 open.substack.com/pub/orwell2024…


Image
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2/ Here we see another example (Alaska). Russian high-lat regions are among the worst. It's a deception to take measurements from such places and claim that you've done 'science' while actually just picking up dirt. Why not Everest dirt basecamp next?
3/ It escalated quickly. Similar to @BMcNoldy from Miami, master's student @Daaanvdb also used airport data instead of professional equipment, like what's available at @UNISvalbard.

Let's do better and use proper data from a better looking station.


Image
Read 19 tweets
Orwell2024🏒 Profile picture
Jun 27
1/ As mentioned, Europe is too urbanized for climate measurements. Shown below is just the UHI effect. As mentioned, ANY type of urban landscape altering increases surface temperatures as well. The Netherlands and Benelux regions are all fully biased and unfit for climate science
Image
2/ As mentioned previously, North Sweden is the most credible place for climate measurements due to its development, peace, and ability to capture high-quality data. Besides Sweden, only the US provides reliable historic data. All other regions are not credible and biased today. Image
3/ Source: YCEO Surface Urban Heat Islands: Spatially-Averaged Daytime and Nighttime Intensity for Annual, Summer, and Winter.

It's from 2003. Now it's even more urbanized = worse.

developers.google.com/earth-engine/d…
Read 12 tweets

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