Check out this video "Being Routine, is not Routinely the Routine, whilst playing Routine!"

https://www.twitch.tv/real_sam_fisher/v/2652965818?sr=a

[2 Tips to Overcome the Freeze Response (Don't Be an Easy Victim)](https://news.1rj.ru/str/freedom_n_weep/43899)

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Practicing regular and full or deep exhalation at once both encourages a full range of expanding and contracting pulsation, and at the same time empties old stale air and releases chronic muscle tension blocked by lungs which never fully relax.

Freezing in fear occurs at the plasmatic, sub-cellular level, even at the sub-material level of the ether. Practicing a regular and full or deep exhalation massages and keeps warm these components which may also "fall asleep" from non-use.

https://www.youtube.com/watch?v=SWNLEQDgD4w Is the Dr correct can you really not purchase Ivermectin or Iodine in Britain? Seriously WTF is going on there?

Trapped in a weirdo cult and dont know how to escape? We can help

Trapped in a weirdo cult and dont know how to escape? We can help

Trapped in a weirdo cult and dont know how to escape? We can help

MUST LISTEN!!!!!
HAVE IT ON IN THE BACKGROUND 🎧 👂

https://www.youtube.com/live/8PhouAoTY7E?si=kdPiLt-Qkj4AIogt

In 2025, modern Large Language Models (LLMs) have significantly expanded their ability to detect and classify logical fallacies, though none yet achieve perfect coverage of the extensive 150+ item
UTEP Master List of Logical Fallacies.
Top Performing LLMs (2025 Rankings)
Based on current benchmarks like SmartyPat-Bench and RuozhiBench, the following models demonstrate the broadest and most accurate fallacy identification:

GPT-4 Series (OpenAI): Consistently ranks as the most balanced across fallacy detection and fine-grained categorization. While susceptible to being "convinced" by fallacious arguments in some settings, its classification accuracy remains a primary benchmark for the industry.
Claude 3 Series (Anthropic): Specifically Claude-3-haiku and higher have shown superior performance in identifying deceptive reasoning and logical flaws, achieving up to 62% accuracy on complex, human-vetted fallacy datasets—surpassing many other high-parameter models.
LLaMA Series (Meta): Newer versions of LLaMA are frequently used in research to evaluate 29+ distinct fallacy types. When fine-tuned or used with sophisticated prompting, LLaMA models show the greatest improvement in recognizing informal fallacies.

Comparison to the UTEP Master List
The UTEP Master List is exceptionally broad, containing obscure rhetorical fallacies (e.g., "The Con Artist's Fallacy," "Vulture Capitalism," or "The Big Lie Technique") that are often classified as ethical or social corruptions rather than pure formal logic.

https://news.1rj.ru/str/JH15rehash/10921