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

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.


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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
Jun 18
1/ Remember the scenic document from @NOAA's USCRN. All rural places without man-made objects?



It's 145 pages long, each page one station. They should ALL be there, right?

Nope. How naive to believe that it's done in good faith.

Ready? 🧵 ncei.noaa.gov/pub/data/uscrn…
2/ This finding didn't emerge out of nowhere. Result of me telling @connolly_s that his detailed check of USCRN is a waste of time.

I repeated for weeks...then I swore...

They present the best only and hide urban stations. Bad faith. Consciously.


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3/ So, what do they look like, the ones they don't like to show? Urban areas. Airports...

Remember their requirements: It should be like the Everglades. No man-made environmental alterations. Stable. Representative.


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Read 12 tweets
May 22
1/ Let's do some checks: Compare the SST data model to water (ground) truth, thermometers in the water.

The green dots are the available @CDIPBuoys, a well maintained network. Probably the best buoy network (by @USACEHQ). Haven't seen any better one.

cdip.ucsd.edu/m/deployment/s…

Image
2/ Florida: the gulf area showing up red at the anomaly chart. The buoy shows nominal at average values. 25C versus +26-27C in the SST model. That's a +1C heat bias. Image
3/ Next - Hawaii. Buoys are below average. SST product is showing heat anomalies there.

14th May: buoy 24.5C vs. 25.5C SST.
+1C heat bias

Interesting. It's apparently too warm, as long as you don't stick a real thermometer into the water to measure and realize: it's cold. Image
Read 7 tweets
May 13
1/ Let's revisit this result from AIRS satellite measurements over 17 years, showing a +0.36W increase in forcing alongside a 40 ppm rise in CO2 concentration.

Does this align with the "observed" (questionable) increase in global temperature anomaly (+0.6C)?

Let’s do a check.
Image
2/The IPCC reports a calculated CO2 forcing of +0.5W, as detailed on the NOAA AGGI page, which you can find here:



The SW calculation overestimates by 40% compared to the +0.36W derived by the AIRS satellite, marking the first significant discrepancy. gml.noaa.gov/aggi/aggi.html
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3/ Now we return to Happer's paper, showing that doubling CO2 from 400 --> 800 ppm results in +3W of forcing.


This is consistent with +3.5W reported by the NOAA AGGI (+3.5W).

arxiv.org/pdf/2006.03098

gml.noaa.gov/aggi/aggi.html

Image
Read 7 tweets

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