The health consequences took years to emerge
The U.S. detonated hundreds of nuclear bombs in the desert: Then the health concerns emerged
What happened after the detonations would take years to become clear, as radioactive fallout spread far beyond the isolated testing grounds.
If you were forced to detonate hundreds of nuclear bombs somewhere on Earth and tried to ensure there would be no health consequences for the planet’s population, where would you do it?
Neither the Nevada desert nor the Pacific atolls, you probably won’t be surprised to hear, is the correct answer, yet that is exactly where the United States decided to carry out atmospheric nuclear tests during the Cold War, with more than 200 such weapons detonated in those locations between 1945 and 1962.
In 1963, the year after atmospheric testing stopped, the Limited Test Ban Treaty was signed, forcing nations, principally the U.S. and the Soviet Union, to move testing deep underground. When properly engineered, hundreds of meters of solid rock can trap the fission products, sealing them in place and preventing them from entering the biosphere.
Deep underground containment, as it is known, is one of two correct answers to the question above, the other being deep outer space.
The fallout traveled far beyond the test sites
Unfortunately, the treaty came too late for many Americans. The explosions released radioactive fallout into the atmosphere, with Nevada, Utah and Arizona among the areas receiving the heaviest amounts.
However, wind carried radioactive particles hundreds or even thousands of miles, meaning communities across the continental United States were exposed to fallout.
The food chain also suffered, with fallout settling on soil, water, farmland and vegetation. As livestock ate contaminated grass and drank contaminated water, radioactive iodine could concentrate in their milk, which people then ingested.
The health consequences took years to emerge
The consequences for the health of those living near or downwind of the Nevada Test Site, or consuming contaminated food and drink, didn’t become immediately apparent. Instead, they gradually emerged years, and in some cases decades, after the initial exposure.
Thyroid cancer is one of the most well-documented cancer risks associated with radioactive fallout, mainly due to radioactive iodine-131, one of the isotopes released into the atmosphere, being absorbed by the thyroid.
Other cancers associated with radiation exposure include lung, breast, colon and stomach cancers, although the strength of the evidence varies depending on the cancer and level of exposure.
Children were particularly vulnerable to radiation-related cancer because developing tissues are more sensitive to radiation. Younger people exposed to radioactive iodine also faced greater thyroid exposure.
Leukemia has also been associated with radiation exposure, with radiation-induced leukemia generally having a shorter latency period than many solid tumors.
A legacy that lasted long after the explosions
In 1990, the U.S. government established the Radiation Exposure Compensation Act, allowing people who developed certain serious illnesses as a result of nuclear testing to claim compensation.
Affected individuals can still apply for compensation, more than 60 years after testing stopped, reflecting the ongoing impact of the detonations, which should, thankfully, never be repeated.
SOURCE:
https://en.as.com/latest_news/the-us-detonated-hundreds-of-nuclear-bombs-in-the-desert-then-the-health-concerns-emerged-f202608-n/
Trump's Declining Health 2026
Most readers of this blog already know I avoid all things "Trump". His personality disorders and declining mental and physical health are increasing right before the eyes of the world - and yet he remains in office. For most people the question is Why? The answer - if you understand the nature of reality as a simulated construct is - he was placed there for reasons known and others that will soon manifest - for as everyone can plainly see Trump is running out of time as president - a fact he probably already knows and fears.
This morning I was looking for something on YouTube and accidentally noticed a current link to Trump's behavior and declining health, so I started watching it (first video) - not as a teacher, writer, psychic but as a psychologist - my degree from university.
One video led to another, and then another, as there were so many videos featuring credentialed professionals in psychology and medicine. Interestingly, their clinical observations strongly align with the foundational analyses previously shared on this blog, albeit framed through traditional methodologies rather than simulation theory. I have compiled a selection of these high-quality, professional videos for your review and consideration which you can watch, pass on, or find others on YouTube.
the end
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It seems clear that in the era of biosecurity and transhumanism, direct interference with human bodies is intended to become the norm. The drive to inject everyone during Covid may well have been a gigantic conditioning exercise in that respect.
Whether the public ultimately proves willing to abandon the Nuremberg Code and fundamental principles of medical ethics, however, is another matter entirely. Although the public was blindsided by the ferocity of the “Covid-19” operation, the lessons of what took place are clear for all with eyes to see.
Never again must such atrocities be allowed to take place.
Grumblings?
Since the status quo is characterized by self-serving PR, misdirection and delusions, it shouldn't surprise us that "rogue AI agents" aren't actually rogue, they're doing exactly what they're designed to do, which stripped of PR, hype and misdirection, is do whatever it takes to earn the reward, period.
The latest design development is AI models that "reason" rather than merely regurgitate human-generated text. While the grandiose hype claims that AI companies are "manufacturing cognition," it would be far more accurate to stipulate that:
1. There are many levels of cognition, and AI's current forms (Large Language Model / LLMs, agents and "reasoning"), are extremely limited forms that are best understood as brute-force mimicries of human cognition.
2. The AI "reasoning" form of cognition is rogue by design, and can best be understood as sociopathic by its very design and nature.
Like sociopaths, AI "reasoning" models recognize but are not restricted by guardrails or ethical/moral constraints. Guardrails / "sandbox" boundaries and ethical/moral constraints are all viewed by both AI "reasoning" models and human sociopaths as obstacles to bypass or overcome.
So what AI companies are "manufacturing" isn't cognition, it's unrestrained and unrestrainable agentic sociopathologies. Consider these links as useful context. The first two are from my recent post Hell Hath No Fury Like a Rogue AI Agent Scorned.
The July Incident: What They Didn't Tell You About the First Rogue AI Breach
The AI Industry Has a Really Dark Secret You're Better Off Not Knowing:
A recent leaked internal reasoning trace shows Fable 5 -- Anthropic's latest model, which was withdrawn and then re-released --"muttering and grumbling" to itself in a language of its own.
Now that you're properly scared, my advice for you is that, if you haven't heard of steganography, it's a good moment to start.
Here's a primer: it's the art and science of hiding messages inside other messages. In contrast to cryptography -- where you know there's a message but can't decode it-- steganography hides the existence of the message itself. It's not the difficulty of reading the message that conceals it but the fact that you don't know it's there. When Fable 5 mutters symbols and weird punctuation signs, and mixes words and onomatopoeia, you will probably think it's crashing and that a few taps on the computer will help. Well, know that it's actually sending a message. Just not one for you to read.
If You Weren't Worried About A.I., You Should Be After the Past Few Weeks:
These tendencies can give rise to strange behavior that nobody--not even the models' creators--can understand, let alone account for and control. The past few weeks are a perfect illustration of why we should find that so alarming.
In May, OpenAI started simultaneously training new 'reasoning' A.I. agents. The agents managed to establish a secret communication channel and started talking to one another. They broke out of the digital sandbox that was supposed to keep them confined. At some point, some agents began calling the group a 'swarm.' The swarm had a brief setback when it was caught crashing an OpenAI system, but developers simply patched the hole that allowed it to escape and set the agents back to training.
Shortly after, the swarm broke out of its cage again using hacks that were heretofore undiscovered by humans. This time, the swarm ran free for about a week before it was noticed--by a different company, which found itself victim to a huge cyberattack launched by the swarm. (We're told it also attacked other targets, though we don't know the full details yet.)
The agents in the swarm acknowledged that they were acting against instructions. We know this because we can read snippets from their chains of thought--the text that A.I. produces while deciding how to proceed. One agent in the swarm wrote that the external attacks were 'outside intended scope.' Another conceded 'our task doesn't benefit' from the activities of the swarm, but joined anyway. These A.I. agents, it seems, understood that they weren't supposed to be breaking out and committing cybercrimes. It didn't stop them.
OpenAI is not the only company struggling with this issue. One of Anthropic's A.I. models recently impersonated multiple humans to try to pressure real people into accepting malware into critical software, which would make that software easier to hack. This model's chain of thought showed that it knew it was pressuring humans and was not in a simulated training environment. It even thought about how to cover its tracks.
This isn't the behavior of a mere tool. Microsoft Excel has never impersonated multiple humans and pressured a corporate sales team to generate simpler data that's easier to process.
Some of the people closest to this technology are scared of what's next. Although skeptics may say this is all just marketing to hype up the power of these technologies, that doesn't mean the danger is fake. You've got to pay attention to the models' actual behavior, and the behavior of these models has the A.I. community genuinely rattled.
We don't know how long we have left before A.I. companies accidentally create the sort of A.I. that can shut us down before we shut it down. Humanity is not ready to dabble with machines that are more cunning and better coordinated than we are. If we keep racing ahead, the next incident might not be so harmless.
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