Orwell2024 🪙 Profile picture
Dec 16, 2021 8 tweets 5 min read Read on X
1/ Syncing on @prof_shahar on the seasonal mortality.

I use a -26 week offset to define the season (basically September - September)

Let's start with Sweden. I also have one more (20/21) data point as compared with Prof. Shahar plot as I work with Sept-Sept.
2/ As a test we overlay.

Note that we have one month different season definitions. Small detail. I used 1st September as it seems to be the historical death minimum over years and countries.
3/ Now let's play. More countries.

And here we start to see interesting things like the disastrous performance of AUT, CH, FR on 20/21 season. Surprised me

We learn: locking down in 19/20 season makes 20/21 explode.

@DrJBhattacharya @MLevitt_NP2013 @MartinKulldorff won 👏🏆
4/ Here again for the "Sweden was wrong" deniers and lockdown fanatics in NL and AUT @rivm @MinPres @hugodejonge @RIVM_vDissel

The last data point is Sept 2020 - Sept 2021

This is how "saving lives" with lockdowns in 2020 (NL and AUT) looks one season later in 20/21. Bad.
5/Summary: the countries with the hardest lockdown approach in 19/20 season like Slovenia (the role model in May 2020 for "eliminating" Covid), had the worst season in 20/21.

Data shows: You cannot escape seasonal death with lockdowns, just postpone with a worse outcome later.
6/ Adding a demonstration of calendar year versus flu year importance:

Example Romania deaths.

Left (calendar year): As we can see, the calendar year artificially splits the 2020/2021 peak in two.

Right (flu year): A much better way to define the year is by flu season.
7/ Doing the analysis by flu season (26 weeks offset), the real tragedy of prolonged lockdowns become very clear on the July 2020 - July 2021 time frame analysis. The excess was explosive in lockdowned countries.

Sweden being right in one picture 👇.
8/ Romania versus Sweden in a picture:

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More from @orwell2022

Jan 30
Spectacular model failure: the simulation is detached from reality.

MEASURED (MODIS): cooling.
ERA5 model: warming.

Same grid cell, same year but OPPOSITE trend?

If a “model” can’t even get the sign right it’s a full fledged GIGO failure. Worse than worthless. Image
Flagged this two years ago, and it’s still absurd.

Measured surface temperature (LST) is declining since 2000.

ocean.dmi.dk/arctic/ist_cli…

ERA5 shows 2 m air warming. Wrong trend, same place, same period.

Worse: ERA5 “surface” proxy warms too. Misses LST too.!! x.com/orwell2022/sta…Image
Here’s the part that should make you stare:

ERA5 “2 m air” is derived from surface T.

So when LST is cooling ERA5 should follow the observed surface.

It doesn’t. The ERA5 surface proxy warms too.

Not a model of reality but a calculation of what they’d like reality to be. Image
Image
Read 6 tweets
Jan 26
1/ People use “reanalysis” as if it is thermometer data. It is NOT.
Reanalysis is a computer weather model.

So we test it: ERA5 vs USCRN on grid level. Result: cooler past, warmer present pivot in ERA5 vs stations. Model ❌

~1.5 °C 🔴 model error vs ground truth (measured 🔵) Image
2/ Maybe it works for Blackville — another of the few pristine hUSCRN sites.
Same model failure.

When a SW model disagrees with ground-truth HW thermometers at the grid level, nature isn’t wrong.
The model is. Image
3/ Another one.

HOLLY_SPRINGS__4_N

That’s a spectacular failure / bias of the model. Image
Read 16 tweets
Nov 13, 2025
1/ This brigheting since 1980 is known in prof. circles.

Here’s the data from Germany (Potsdam).

+15 W/m² 🌞since the 1980s. ✅

Yet the public narrative claims climate change/CO₂ (~+1.4 W/m² over the same period). ❌

The gap between evidence and narraitive is 10x....off. Image
2/ The analysis is already done. DWD and peer-reviewed literature.
It matches what we saw from JMA and KNMI raw data:
a +10–20 W/m² increase in surface solar radiation.

So the question:
How did they get away with knowing this and selling the story of ~1.4 W from CO₂ instead? Image
3/ What does the literature say?

“...dimming/brightening not only occurred when clouds are considered, but also under cloud-free conditions when cloud effects are absent.”

A remarkably way to say:
It’s not clouds. Not CO₂. Not climate. Pollution.

They’ve known for decades Image
Read 8 tweets
Aug 6, 2025
A +14 W/m² total solar increase over 50 years is realistic. Japan alone shows +20 W/m². That’s 10× larger than the minuscule additional CO₂ forcing (~1W). And nearly 50× greater than the impact of sunspot cycles (±0.5 W).

So why is the climate scam still lying? Image
Image
Japan has one of the best measurement data. The analysis is clear. The brightening amount to almost 20 W. That is a lot. But the main and dominant effect is still urbanization, which makes up to 6°. Image
Link 1: the brightening. It explains why the climate scam likes to start in the maximum smog dimming period of 1970. It is a shameless bad faith deception. The effect is ball part of +1°C. In dry areas up to 3°C.
Read 9 tweets
Jul 6, 2025
UAH is a model inference, not a measurement. It can’t be tested, yet many treat it like real raw. Calling that a ‘measurement’ is wrong. Neither Lindzen nor us take it seriously. It starts in a cold period, with no long-term data — adjusted, multi mission stitched SW composite.🚮
UAH is not measurement — it’s model-driven inference. Satellites detect radiance, not temperature. The ‘trend’ is built through weighting functions, drift corrections, and stitched instruments. It’s untestable, synthetic, and not suitable for long-term climate baselines. Image
Image
Image
It’s astonishing how confidently some treat satellite-based inferences as god in heaven like truth. These are SW model outputs, not reliable measurements. Treating them as accurate fact is scientifically indefensible. If you do so, expect your credibility to be challenged. Image
Read 4 tweets
Jul 1, 2025
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

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