1/ A great summary! After having peer reviewed many papers in the past, I can't leave this uncommented. There is just too much truth in it. But also many things missing. @markdhumphries
2/ "only one of Einstein’s 300 or so published papers was ever peer-reviewed, which so disgusted him that he never submitted a paper to that journal again."
He was not alone. Nature rejected Kary Mullis PCR paper (Nobel Price awared).
3/ Peer Review is nothing more than "please have a look". It's a basic check, not a quality endorsment. Most papers I received were Chinese low quality papers pushing into high-end journals like Phys. Rev. B or Phys. Rev. Letters. I rejected (or redirected elswhere) most of them.
4/ It was clear that pushing low quality into high-end journals was about reputation and money. It's a quantitative money game, driven by the sick funding process in science. The more I rejected (or redirected elsewhere), the more I received from Phys. Rev. I noticed empirically
5/ Other reviewers may not be critical, so the flooding tactics to the high-end obviously works by being lucky (catching e.g. a lazy "ok" reviewer). For my own papers, I considered such high-end flooding tactic as unmoral to engage in. Nice small conferences are fine too for me.
6/ "much peer review is aggressive, rude, lazy, or just plain bad.".
You nailed it!
We don't get paid for this, so what do you expect? Quality? Most papers are bad, so it's really not fun nor a popular task to proof read. 99.99..% of the papers are not breaking discoveries.
7/ When a paper drops in for review, what is more likely? A) You drop your work or B) you pass it on to the PhD student? At some point, when Phys. Rev. sent too much, I started to reduce, reject or pass on. Checking the "not my field" box was the fastest way out for boring papers
8/ Peer Review is NOT a quality stamp nor a "certification" like mainstream COVID manic media claims.
"Does it stop a plainly wrong or plainly nonsense paper from being published? No"
9/ The article forgot to mention another issue: Rivality between competing groups. Dirty games may be played on the high end front. Rejection in order to publish ahead. At least that's what rumors tell for high impact publications on Moore's law research. Not seen it myself.
10/ Academic integrity and courage at the level of @ConceptualJames@BretWeinstein@peterboghossian@SwipeWright is exceptionally rare. They deserve a big thank you in this sinister "post factual" propaganda times of political science.
12/ The weak point seems to be at the editorial level. Once you get a political agenda pushing admin on such post, it's game over. In science and media. Nice example is @ggreenwald (also a shining star) who resigned from the outlet he co-founded. theguardian.com/media/2020/oct…
13/ Team #DRASTIC has shown us the pathway for the future. It's time to scarp and wrap-up the dead dinosaurs, both in media and science journals.
Ideally we should have a block chain version of an uncensorable version of Twitter for science with a built in pre-print database.
14/ Closing words: "Satoshi Nakamoto" un-reviewed #bitcoin paper provided a solution to a long unsolvable mathematical problem: "The #Byzantine Generals’ Problem". A major mathematical discovery with disruptive impact on society. bitcoin.org/bitcoin.pdf link.medium.com/8tpn7lYHWgb
Not a high-quality reference site like
Valentia Observatory (Ireland) or h-USCRN sites.
But: Lower urban bias than cities like Kyoto or Tokyo. It starts to show the well known flatliner we see at stable sites.
3/ To see it better, here’s 4 months side by side:
🟥 Kyoto
⬛️ Tokyo
🟦 Suttsu
This is man-made. The T trend is just unrelated to climate. It measures the site and environment change. Suttsu as expected least impacted. But it still is.
The red areas are fully man-made—built or cultivated.
You cannot measure climate anywhere near them.
And MODIS still misses a lot.
In reality, it’s worse.
When we inspected what @BerkeleyEA calls “rural”?
Almost all those stations are worthless
Imagine a field looks like it does on the left…alive.
And later, like the right. Dead and brown.
Still think you'll measure the same 2m temperature?
Or might that just—possibly—have a major impact as the surroundings changed? GPT estimates 3C. It's not wrong.
We now combine MODIS 🟥 and P2023A 🟪 (10m resolution).
Look: MODIS misses entire urban zones— Ireland. Or Liverpool.
And yet @hausfath and @BerkeleyEarth built their “rural” claims on MODIS junk.
Shameful deception.
The paper needs a retraction.
Thanks to this trick, they labeled urban sites as “rural”—then obviously saw no difference.
That paper must be retracted.
Back then: resolution limits.
Today? Ignoring P2023A is agenda.
Anyone can open Google Earth and see houses where MODIS finds none.
In a nutshell: using decades-old MODIS (500m, binary) to argue “nothing’s there” versus P2023A 10m high res color is like claiming your iPhone 1 low-light photo proves the room was empty—
while the iPhone 16 Pro with AI sees everything.
Only dishonest clowns run that defense.
1/ April resists warming.
Remember: warming causes cooling.
If you’re freezing, you're actually warming.
Colder weather confirms it’s warmer.
We must prevent cooling to stop warming.
Yes, it still was the warmest April in SW models.
Now pay your CO2 tax please and eat vegan.
2/ We check ourselves. The ClimDiv curve is even cooling 1.37C compared with the stable USCRN sites.
3/ Expand the range to 115 years.
Stable USCRN sites show nothing.
ClimDiv now shows warming—entirely from adjustments.
Wrong ones: cooling rural, not towns.
Signal upside down.
That's not science—it’s appalling.
1/ This proxy is the most dishonest narrative in the entire climate agenda.
Anyone pushing it isn’t doing science — they’re signaling allegiance.
If you still treat them seriously, that’s on you.
They’re not analysts. They’re ideological fools. #ClimateScam
2/ Last week of April 2025. Rural Nagano. ~700m elevation. Full bloom.
I challenge the town-proxy scammers to show us blooming in late May or June a hundred years ago.
Go ahead— make fools out of yourself by failing.
👉The consensus now = defund climate activists (“academics”).
3/ …been cultivated in Japan since the Edo and Meiji periods. Bloom timing is widely celebrated, recorded, and scheduled for festivals.. There are no records of cherry festivals here occurring in late May or June. That would have been seen as “weirdly late,” even then…
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.
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.
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.