Orwell2024🏒 Profile picture
Nov 24, 2021 9 tweets 5 min read Read on X
1/ „Herzlich willkommen mit 2G.“

Deutschland geht 2G.

Schmutzige gesunde junge Kinder und junge Menschen unerwünscht. Image
2/ Zutritt nur noch geimpft oder genesen, allerdings nicht älter als 6 Monate. Das Geheimnis? Er darft nach Spritze für ein paar Monate Privilegien genießen. ImageImageImageImage
3/ Ein kleiner Weihnachtsmarkt für geimpfte. Der neue Rotary Club. Endlich fühlt sich der normale Bürger mal exklusiv. Image
4/ Die PAPIERE!!!!

Die Gesundheits Polizei bei Apple Store.

Um gespritzte unerwünscht!!! Image
5/ Die, die alten unter uns erinnern sich vielleicht noch, was einmal als Grundrechte bezeichnet wurden. ImageImageImageImage
6/ So @hugodejonge. Das wollen wir jetzt unbedingt auch, nicht wahr? ImageImage
7/ Bravo @hugodejonge @markrutte. Ja nicht nach Schweden schauen. Ja nicht den Leuten sagen dass die Schulen niemals geschlossen wurden. Ja nicht sagen dass dort freies Leben herrscht. Lieber an totalitäre Nachbarn orientieren? Ja ja ja. Deutschland und Österreich !!!! Image
8/ Spielwarengeschäfte mit 2G.... (!!!) Man darf geimpft und infektiös Spielzeug kaufen, aber nicht ungeimpft, selbst nicht einmal mit negativem Test. Bravo. Das beschützt die Oma.
9/ Also wenn es kein Amazon gäbe, würde der Platz für Geschenke unter dem Weihnachtsbaum für Kinder ungeimpfter Eltern dieses Jahr leer bleiben. Aber das würde vielleicht allen mal ganz gut tun. Es könnte helfen sich zu besinnen und zum Kern von Weihnachten zurück zu finden.

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More from @orwell2022

Apr 12
1/ I was told non US GHCN “raw” is adjusted already.

-----TRUE-----

Now I see it. Gosh.

Composite. 2x adjusted. NOAA doesn’t even know where non-US stations are—or what they’re measuring. Their own US data (USCRN) is light-years better. But for “global”? It’s clown-tier level. Image
2/ And here it is—the DOUBLE-adjusted COMPOSITE.
Not raw. I doubted @connolly_s at first—like someone denying their 2nd-hand car is stolen, crash-salvaged, and repainted twice. Turns out he was right.
NOAA’s “global” QCU (non-US): not raw.
Image
Image
3/ Credit where due.
Normally I block on first bad-faith signal.
But intuition said: bait him back.
Let’s see what he hands over.
And he did:
✔ Clown location
✔ 120% urbanized
✔ Composite
✔ Adjusted twice
Thanks for the assist.
Image
Image
Read 5 tweets
Apr 10
1/ The WMO’s temperature station classification study isn’t a glamorous reading —but it’s the bare minimum anyone aggregating climate data should know about every single station. They don’t.

Scandal hiding in plain sight Image
2/ Class 1 is “bare minimum” for climate-grade weather station suitability. One means maybe ok.
met.no/publikasjoner/…
I’ll be counting impressions. I’ll know if you didn’t read.
(you’re allowed to LLM TlDR it.)
Next up: NOAA climate site requirements (HLR). 👇 x.com/orwell2022/sta…
3/ The NOAA HLR system makes WMO classes look gentle.
Most stations? Fail spectacularly.

Here a flow-down from high-level requirements into practical criteria:
orwell2024.substack.com/p/quality-requ
(Use LLMs to TLDR.)
x.com/i/grok/share/u…
Ok, so ready for real fun after boring reading? x.com/orwell2022/sta…
Read 16 tweets
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 43 tweets
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
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
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

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