Orwell2024🏒 Profile picture
Nov 12, 2021 14 tweets 8 min read Read on X
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
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

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
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
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
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 ?

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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 👍.

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Read 10 tweets
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…


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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
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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