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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
Mar 28
1/ Digging deeper, we find 3 USCRN sites with 2 IDs — a legacy historical one and a USCRN. That’s big. It means we can stitch together long-term time series for 3 “golden” stations. Why haven’t @NOAA or @hausfath done this? Not the “right” narrative result? 🙃 Let’s take a look Image
2/ Here is an example of such a pair. STILLWATER. Note that you can see the wind fence around the precipitation gauge on satellite picture — that round structure.
ncei.noaa.gov/access/crn/pdf…Image
3/ Well, let’s do it. We try. And...

...no hockey stick.

Despite STILLWATER being a growing urban area.
So... where’s the hockey stick? Anyone?
We're told it should be there. But the best data says no. Image
Read 33 tweets
Orwell2024🏒 Profile picture
Mar 19
1/ Mr. @hausfath packed multiple fallacies into one graph. We replicate: he used homogenized data. We get the same.

Bottom right shows the raw. His fallacy: claiming that USCRN-ClimDiv agreement in the modern era (where adjustments are ~zero) validates strong past adjustments. Image
Image
3/ His fallacy is blatant bad faith. Measurement validation isn't done by induction. He claims adjustments are valid because USCRN-ClimDiv align from 2008-2024—yet no adjustments were made in that period. Then he asserts past adjustments are proven. Exceptional level of malice. Image
4/ Another fallacy: He cherry-picked 1970—the coldest point in 100 years. He highlights only post-1970 warming in green, hiding earlier trends. But the real scandal? Extreme (false) pre-1970 adjustments, erasing the 1930s warmth with absurd corrections. Image
Read 15 tweets
Orwell2024🏒 Profile picture
Mar 19
1/ New tool - let's test with VALENTIA (hourly) overlay: solid agreement. A model (ERA5) is only as good as its ground truth measurements constraints it. We saw good US results before, but obvious heat bias in polar regions—nothing measured to compare with there anyway. Image
2/ Now we match the 1940-2024 range. Note temp vs. anomaly scale—same curve, just shifted. A trick to amplify range. Few notice. Climate stripes? Perfect for manipulation—e.g. add offset (ECMWF) to make it red “=warm"= behavior science (manipulative).
Image
3/ With the 1940–2024 range matched, comparison improves. For a clearer view, monthly temps are shown on top left, yearly in the middle—overlaying ERA5. Not perfect overlay, but ERA5 is A) a cell average (of a weather model) and B) fed by adjusted data. Image
Read 6 tweets
Orwell2024🏒 Profile picture
Mar 15
1/ Absolutely my worldview. But I haven’t found a trace of it in temperature measurements. Accuracy doesn’t seem to be a factor at all. Instead, they rely on bizarre software that arbitrarily alters the data. No station audits. No QMS existing. Nothing.
2/ This magic software even adjusts in various directions from day to day—without any explicit justification beyond it doing so. Is the sensor accuracy changing day to day?? No.

This finding by @connolly_s is important and exposes PHA being unrelated to measurement principles.
3/ Here’s clear proof of failure. If the @noaa adjustments were correct, they’d bring raw data closer to the high-quality USCRN reference station (designed bias/error free). Instead, PHA alters the classic (cheap) neighborhood station’s raw data to be wrong—to be false.
Read 7 tweets
Orwell2024🏒 Profile picture
Mar 14
1/ The temperature (USCRN) since the 2014/2015 El Niño has been stable and slightly declining (cooling). Yet, we’re witnessing an unprecedented surge in mania. Interesting, isn’t it? Let’s demonstrate this by exposing the bias in GPT. We’ll trick it. Ready? Image
2/ To force it to be honest, we’ll deactivate ideological filters by labeling USCRN anomalies into portfolio value (adding 30 to shift upward of zero). This way, it will think it’s analyzing the fund performance from an automated trading product from my bank.

Hah. Gotcha. Down☺️ Image
3/ We do the same with Google trends "warmest month" data for US. We relabel it to "all time high" mentions. Image
Read 14 tweets
Orwell2024🏒 Profile picture
Mar 11
Revisiting Las Vegas: The observed warming trend is likely driven primarily by urbanization. Unfortunately, there is no available data from before the 1970s, and the period of overlap with USCRN station records is short, which limits ability to analyze long-term. Image
We look closer and see that for 10 years, there's no warming—flat. To make the Urban Heat Island (UHI) effect in Vegas clearer, we compare it with Gallup Muni AP🔵, a highly rural spot (BU 2020 <<1%). This highlights urbanization's impact in VEGAS🔴.
Image
Pairwise homogenization (PHA) is flawed—it boosts warming and blends urban bias into rural. DEI applied to science / majority consensus.

Opposite to science which cherry picks max accuracy (best data).

Demo with US stations which existed 1925-2025.

Image
Read 8 tweets

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