Other / unclassifiable — 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 24 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 why it has no browse page of its own yet.
Growth
5 measurements spanning 61 days, net -5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 218–225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 11:20
219
-1
27 Sept 2026, 03:37
220
-3
28 Aug 2026, 14:12
223
-1
8 Aug 2026, 10:30
224
no change
7 Aug 2026, 12:25
224
first reading
Engagement
20 posts held, back to 19 December 2022 — 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 20 posts for this entry, the most recent from 11 March 2023. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
25m 26s
Average length
2m 07s
Measured directly from 12 videos 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.
Reaction mix
19 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 52.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
10
52.6%
❤
5
26.3%
👏
3
15.8%
🔥
1
5.26%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 11 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 19 December 2022 to 11 March 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
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Thoughts? Is it time for open contact with extraterrestrials?
https://www.tiktok.com/@awakingforce/video/7191184368038071557?is_from_webapp=1&sender_device=pc&web_id=7102151586806580782
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What other kind of technology do you think the government could be keeping from us? Legendary journalist Linda Moulton Howe exposes the US - ET intel in the series finale of Into the Vortex, only on Gaia. Watch the full episode here: https://cs-link.gaia.com/3hiaEDR
Jimmy Church introduces our guest for the season finale of Into the Vortex, Linda Moutlon Howe.
💭Did any questions come up while watching some of the other episodes? Drop them here and Jimmy just might answer yours in an upcoming video.
🛸TELEGRAM EXCLUSIVE SNEAK PEEK OF THE SEASON FINALE OF INTO THE VORTEX! What evidence do we have of extraterrestrial phenomena on Earth? Concluding season one of Into the Vortex, award-winning journalist Linda Moulton Howe shares her decades of research and direct experience with whistleblowers revealing US government involvement with ETs and UAP. With the mission of informing humanity of truths kept too long in the …
Jimmy Church introduces futurist and author John Michael Godier, this week's guest on Into the Vortex. Watch the full episode here: https://cs-link.gaia.com/3iMksqs
💭Let us know your questions. Jimmy will select a few to answer here.
👍1
Showing the 12 most recent of 20 posts we hold for @gaiaunexplained. 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.
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 7 October 2026 — this
entry's latest reading, not the date you are reading this.
“Gaia Unexplained” (@gaiaunexplained), 219 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/gaiaunexplained.
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.