Health & wellness — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
12 measurements spanning 41 days, net -25. 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 2,137–2,170 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 20:20
2,141
-3
9 Sept 2026, 05:19
2,144
-5
3 Sept 2026, 12:41
2,149
-1
31 Aug 2026, 08:13
2,150
-2
28 Aug 2026, 11:48
2,152
-6
25 Aug 2026, 20:23
2,158
-2
19 Aug 2026, 15:12
2,160
-1
16 Aug 2026, 13:48
2,161
-2
12 Aug 2026, 15:24
2,163
-2
9 Aug 2026, 08:05
2,165
-1
6 Aug 2026, 11:20
2,166
no change
6 Aug 2026, 09:49
2,166
first reading
Engagement
20 posts held, back to 5 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages 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 28 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
37m 50s
Average length
3m 47s
Measured directly from 10 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
17 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 47.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8
47.1%
😁
5
29.4%
👍
1
5.88%
👎
1
5.88%
🔥
1
5.88%
🤮
1
5.88%
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 6 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 17 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 5 April 2026 to 28 May 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
‼️ÄRZTE VERURSACHEN ALZHEIMER IM WAHRSTEN SINNE DES WORTES‼️
Statine zerstören das Cholesterin, das 75 % der Myelinscheide Ihres Gehirns ausmacht.
Dr. Wallach: „Alzheimer ist eine von Ärzten verursachte Krankheit“
Quelle: healthbot
Findest du diese Info wichtig? Dann abonniere unseren Kanal!
👉 @LegitimNews
#Gesundheit #Alzheimer #Stetine #Cholesterin #Krankheit
‼️Ein Mann läuft versehentlich ins Bild, während für „Hontavirus“ gedreht wird‼️
Quelle: Matt Wallace
Findest du diese Info wichtig? Dann abonniere unseren Kanal!
👉 @LegitimNews
#Hantavirus #Dreharbeiten #Plandemie
🌿 Wir sprühen Gift auf unser Essen und wundern uns, warum wir krank werden. Klingt absurd — ist aber Alltag auf deutschen Äckern
Mehr solcher Beiträge findet ihr auf 📱 Instagram
Ich bin auf dem Land aufgewachsen. Obst kam vom Baum, Gemüse aus dem Garten, und niemand hat sich Gedanken über Rückstände gemacht. Heute stehe ich im Supermarkt, drehe eine Paprika um und lese „aus kontrolliertem Anbau" — und frage mich, w…
"Der letzte Grund des Widerstandes gegen eine Neuerung in der Medizin ist immer der, dass hunderttausende von Menschen davon leben, dass etwas unheilbar ist." - Prof. Dr. Friedrich F. Friedmann
Codex Humanus – Die komplette Buchreihe (Band 1–5) + 2 kostenlose Ebooks Ihrer Wahl!
Ganzheitliche Gesundheit, Naturheilkunde und Systemkritik in fünf Bänden auf gesamt knapp 5000 Seiten!
Mit dem fünften Band ist die Reihe „…
Das USDA genehmigt stillschweigend die experimentelle, selbstverstärkende mRNA für Tiere.
Tierärzte verabreichen aktiv Nobivac NXT von Merck gegen Tollwut, Grippe und FLV... die sich wahrscheinlich im ganzen Land auf Menschen übertragen"
https://t.me/CapelloBiancoQ
Dr. Pierre Kory über Shedding
Es wird über die Atemluft von Geimpften übertragen, aber nicht jeder ist dafür empfänglich. Grundsätzlich führt diese Art von Nanotechnologie Injektionen immer zu Ausscheidungen.
Die modifizierte RNA wird in Lipid Nanopartikeln verpackt u. gelangt so im gesamten Körper in die Zellen u. anschliessend wird dann das Spike Protein von den Zellen produziert.
👉 Kanal Anti Nano Gerät
Showing the 12 most recent of 20 posts we hold for @gesundheitsratgeber. 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
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
4
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
4
vacant every time we have ever looked
@gesundheitsratgeber named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@na_no01 named in 2 posts, 8 August 2026 – 8 August 2026
@neo_antnano named in 1 post, 8 August 2026 – 8 August 2026
@oantinano named in 1 post, 8 August 2026 – 8 August 2026
@verbotene_wahrheit named in 1 post, 8 August 2026 – 8 August 2026
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Gesundheitsratgeber” (@gesundheitsratgeber), 2,141 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/gesundheitsratgeber.
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.