[TDoS]

It's an entertainment thing.

Nothing nutter about Yellowstone.  Geological events causing collapse are well established phenomenon.

Indeed. Quite true as a matter of geologic fact, yes (but I'd lead with the Siberian Traps if you want real doom, Yellowstone is nothing compared to that). But you didn't lead with it on any of your blogs, or peakoil.com, or here. The "nutter" part tends to revolve around folks hearing it somewhere, deciding 10 seconds later it must be true, and then trumpeting it from one rooftop or another as fact. And for good measure kicking in some degree of 'IMMINENT!", because someone online told them so. The psychology of THAT process...and then reveling in having this "secret" that others just can't understand or see.....that is alien to me, and fascinating because of it.

Planet X did not receive much attention.
RE

Maybe not on your blogs, but it was out there, and you had at least one enthusiast on one of your blogs. The Mayan calendar was certainly out there. While everyone around the office knew my interest, debunking and professional work related to peak oil, on the scheduling calendar for the group we had the Mayan Calendar marked on a big calendar, and someone drew like a mushroom cloud image on it and words "THE END" and some pithy comment about work being canceled the next day or some such.

Scientists besides me certainly had a sense of humour on what can be found on the internet.

Got to go, a presentation to finish and some traveling, presenting, educating pofessional organizations next week, nothing special, just the usual sciencey stuff.

[RE]

THEGUARDIAN.COM 2026-08-30

Nepal and Tibet’s floods are a warning for the future

As rescuers search for survivors after catastrophic floods, the disaster offers a stark warning about the climate risks facing the region, and the world

The ice is melting on Everest due to Humane Urine.  Human caused climate doom in a nutshell.

"6,000 Liters of Urine a Day... Melting Glaciers," The Fear Sparked by Mountaineers

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[RE]

CBC.CA 2026-09-02

Climate change past the point of no return, UN says, as worst impacts are now unavoidable

The UN states Earth will soon exceed the 1.5°C climate threshold, with worst impacts unavoidable.

Well, at least they finally admit it.  Now the question is , how bad will it get and how fast?  How about estimates of how much Ag production per year will be lost per 0.1 Degree increase in temperature?  Which neighborhood will get the most catastrophic flooding soonest?  If you can move, where are the best locations to move to?

RE

[K-Dog]

ILLUMINEM.COM 2026-01-15

The science of staple crops and climate vulnerability

Climate change reduces staple crop yields (wheat, rice, etc.) via heat, drought, pests, threatening food security and products like bread, beer, cereal; adaptations (drought-tolerant crops, regenerative farming) aim to mitigate risks.

How bad will it get how soon is a complicated question that the science community knows something about, but does not talk about.  Like they all went to Vegas or something.

Global gridded crop models underestimate yield losses from climatic extremes

There is admission of the problem only if you agree to discuss fairy tale solutions afterwards.

[RE]

POLITICO.EU 2026-09-10

August declared the hottest month ever recorded

The 1.5°C threshold has been reached as global temperatures soared 1.65°C above pre-industrial levels in August, matching July 2023’s record. This surge, driven by fossil fuel emissions and a strong El Niño, coincides with record sea and air temperatures and extreme heatwaves. Emissions rose to 54 billion tons of CO₂ equivalent in 2025, confirming that the world is now living in a 1.5°C climate reality.

Do I hear 2C?  2.5?  SOLD!

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[RE]

WORLDWEATHERATTRIBUTION.ORG 2026-09-17

Rapid Warming in the Himalaya Exacerbates Geohazard Cascades Beyond Adaptation Limits

Significant progress in adaptation is needed, particularly through strengthened high Himalaya earth observation, hazard monitoring, risk communication  and transboundary data and knowledge sharing. But events of this magnitude ultimately exceed the limits of adaptation. Addressing unfolding and imminent loss and damage, through recovery and reconstruction support in impacted communities, has now become an unavoidable part of climate response.

Pretty thorough explanation of the reasons for the Glacial Collapse, but except for Geologists interested in this sort of thing not too helpful.  Basically they tell us there are way too many factors and variables involved to be able to make good predictions of where or when it will happen next orr to give sufficient Early Warning for people to get out of the way, and the results are too caatastrphic to "adapt" to.  You can't build houses strong enough to withstand mega tons of rock and ice falling on top of them. lol.

What I did find interesting is the population in these neighborhoods is INCREASING!  Practically every country in the OECD is shrinking in population, while these guys continue to breed more Homo Saps!  I can't imagine the increase comes from people immigrating there.  Who's gonna move to an impoverished country where there's barely enough oxygen to support animal life?

Why is the population increasing?  Because the arrival of electricity and modern medicine led to longer lifespans, and even just the small income derived from the tourist trade has led to more food availability.  Relatively speaking it's still a small population, but instead of the 10K Sherpas living in the area in 1953 when Everest first got climbed, today there's probably 50K.  Still tiny, and even if they all get wiped out in the next collapse, it wouldn't even be a rounding error in world population.

Even given the opportunity, I doubt many of the Sherpas would want to leave, so how much rebuilding should there be and who pays for it?

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[RE]

ALJAZEERA.COM 2026-09-23

Scientists warn super El Nino could cause 450,000 deaths: Should we worry?

CIL’s Adaptation Inventory recommends implementing a number of measures to help vulnerable populations cope with extreme heat, including issuing heat warnings, increasing the number of staff at medical facilities during the hottest periods, establishing cooling centres where people can shelter and implementing protections for outdoor workers.

No worries on the Heat Stress Deaths.  Drop in the bucket.  🙄

Food will be a bigger problem.  Either way, we won't know until we get a Global Census after 2030.

4 more years, it should be pretty significant.  Will we lose a Billion?  What's the over-under?

RE

INSIDECLIMATENEWS.ORG 2026-09-23

Super El Niño to Cause 451,000 Heat Deaths

A powerful El Niño is expected to trigger over 450,000 excess deaths from extreme heat within six months, with Nigeria, Indonesia, Sudan, India, and Brazil most affected. Scientists say this mirrors projected climate change impacts decades ahead, threatening health, food, water, and energy systems. Immediate action through cooling centers, warnings, and aid can save lives, but long-term investment is essential as extreme heat becomes routine.

[TDoS]

So that's how it works now? Doing the math that doesn't deliver the official authoritarian answer is disappeared? How Orwellian....free speech for the benign overlords on preapproved perspectives but any post that demonstrates thinking backed up with definitions and mathematics contradicting the party line dare not exist.

Like we need to worry about the MIB when their purported opponents are just midget versions jealous of how well the smarter folks are doing the same thing at scale.

[K-Dog]

So that's how it works now? Doing the math that doesn't deliver the official authoritarian answer is disappeared?

That is why we roll our own.  AI on a data farm is where the wild dogs piss.

I bought my original RTX 3060 when it came out planning on experimenting with neural networks again.  This was before the AI revolution.  I am not a gamer.  I built my own neural network to decode Morse Code when the hot processor was an Intel 486.  I would let it train at work overnight.  I fudged the dot dash on times within specification limits to generate the training data.  I got good results.  Now that original RTX 3060 is still worth what I paid for it.  It is still entry level AI.

[TDoS]

So that's how it works now? Doing the math that doesn't deliver the official authoritarian answer is disappeared?

That is why we roll our own.  AI on a data farm is where the wild dogs piss.

I bought my original RTX 3060 when it came out planning on experimenting with neural networks again.  This was before the AI revolution.  I am not a gamer.  I built my own neural network to decode Morse Code when the hot processor was an Intel 486.  I would let it train at work overnight.  I fudged the dot dash on times within specification limits to generate the training data.  I got good results.  Now that original RTX 3060 is still worth what I paid for it.  It is still entry level AI.

ooooohhhhhh----kay?

I'm happy you are happy. It would be a nice thing if we could all retire and get to do what we like to do. But to be honest, when I finally retire, I'm more likely to just randomly travel around on 2 wheels and/or 4 until the bipedal parts or brain doesn't work as well as it should, and after that enjoy being one of those scientist emeritus types somewhere, helping out the younglings.