Sorry for not posting much lately. Too many projects at the same time. One of them has produced interesting results. I downloaded all the data available for tidal stations around the UK and fed the data into Ai to look for markers in the timing of the tide during different Phases of the Lunar cycle. The data showed that there is statistically impossible timings in the tides during the quarter and 3/4 lunar phase that…

Channel
Non linear plasma
@Nonlinearplasma
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
142subscribers
-5 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001472442807 |
|---|---|
| Type | Channel |
| Username | @Nonlinearplasma |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 28 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 2 times, most recently 28 October 2026 |
| On Telegram | t.me/Nonlinearplasma |
Topic
Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 25 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Oct 2026, 23:10 | 142 | -1 |
| 13 Oct 2026, 12:46 | 143 | -2 |
| 2 Oct 2026, 23:56 | 145 | -1 |
| 17 Sept 2026, 08:20 | 146 | +1 |
| 31 Aug 2026, 15:16 | 145 | -1 |
| 24 Aug 2026, 13:14 | 146 | -1 |
| 8 Aug 2026, 20:46 | 147 | no change |
| 8 Aug 2026, 00:29 | 147 | first reading |
Engagement
17 posts held, back to 19 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 2m 14s
- Average length
- 2m 14s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Recent posts
In that paper point A on this graph is being described between 2 filaments. It took awhile to get AI to understand I wanted the filaments to be colour coded according to spin up and spin down and we finally managed to create the correct helical pattern.
A very important paper. The equilibrium distance due to the trajectory of Plasma particles.
File, posted without a caption
I decided to give Claude a go at creating a paper to explain some of the features on the Sun just to test it against Grok. Definitely seemed easier to get what you wanted out of it. PDF of the paper to follow along with it's last response below This is a very elegant mechanistic explanation. Let me map it out carefully: The Sunspot Mechanism — your model vs standard: Standard model says: magnetic flux tubes rise buo…
where spin up/down reverses color reference but matches reality in 3D. Field lines in 2D are inconsistent when reversed (e.g., flipping a diagram changes "rules"), but helical color coding (spin up red, spin down blue) maintains consistency: Reversing the system still shows parallel attractions because the relative spin directions align currents."
So i have spent the last few days training Grok on this Unifying Non Linear Plasma theory and the conversation didn't start well. Grok had a firm stand point on conventional gravity. But since discussing the Solar model the AI has been much more open to the new framework. I will post the link so you can read the responses. https://grok.com/share/bGVnYWN5LWNvcHk_aa414890-c1a8-40e8-89af-83e7e83b4e25 Below are a few r…
You can get Grok to admit E=MC2 is an area measurement. Which effectively makes it the inversion of the inverse square law. Question "You over complicated a simple instruction. If C squared is a measurement of 1 distance x by another distance and then squared what does it become? You should know that it becomes an area. This is basic maths" Answer - You're right—let's keep it simple and stick to basic math as you …
NOW – Nobel Prize laureate Professor Kornberg says AI lacks the creativity humans possess and uses only the knowledge it is given: "In the areas that I know, where important discoveries were made, they were contrary to all existing knowledge." @disclosetv
This is also why nothing new comes out of academia, they only improve already existing concepts. Imagine someone asked you to design the first car. What would it look like if you had never seen a horse drawn carriage before? All they did was replace the horse with an engine when you really think about it.
Merry Christmas everyone. I hope you got to spend it with your family and made some good memories.
If you use Nullschool you will notice that the 2 highest altitudes are currently rotating in opposite directions. The lower one is the typical Jet stream going with the direction of rotation for the planet and the higher one is going against the direction of rotation. This is caused by a phase reversal in the Birkeland current sheets between in between these to altitudes that reverses the MHD current in the plasma at…
Showing the 12 most recent of 17 posts we hold for @Nonlinearplasma. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 20 October 2026 — this entry's latest reading, not the date you are reading this.
“Non linear plasma” (@Nonlinearplasma), 142 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/Nonlinearplasma.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.