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Channel

Wissensgeist.TV

@wissensgeist

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

3,246subscribers

-24 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001442295447
TypeChannel
Username@wissensgeist
Created8 November 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/wissensgeist

Topic

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 14 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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

3,2433,3503,296.56 August 2026 — 3,270 subscribers6 August 2026 — 3,270 subscribers9 August 2026 — 3,284 subscribers12 August 2026 — 3,288 subscribers15 August 2026 — 3,298 subscribers19 August 2026 — 3,309 subscribers22 August 2026 — 3,325 subscribers25 August 2026 — 3,333 subscribers28 August 2026 — 3,343 subscribers31 August 2026 — 3,344 subscribers4 September 2026 — 3,350 subscribers9 September 2026 — 3,340 subscribers13 September 2026 — 3,243 subscribers17 September 2026 — 3,246 subscribers3,2466 August 202617 September 2026
14 measurements spanning 42 days, net -24. 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 3,227–3,366 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 05:363,246+3
13 Sept 2026, 00:023,243-97
9 Sept 2026, 05:363,340-10
4 Sept 2026, 08:163,350+6
31 Aug 2026, 11:063,344+1
28 Aug 2026, 12:343,343+10
25 Aug 2026, 07:033,333+8
22 Aug 2026, 07:363,325+16
19 Aug 2026, 01:263,309+11
15 Aug 2026, 17:083,298+10
12 Aug 2026, 12:453,288+4
9 Aug 2026, 17:223,284+14
6 Aug 2026, 10:523,270no change
6 Aug 2026, 09:553,270first reading

Engagement

20 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 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 3 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
20m 49s
Average length
1m 18s

Measured directly from 16 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

154 reactions across 20 posts, in 13 distinct kinds. The most used accounts for 28.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4428.6%
👍2616.9%
🔥2314.9%
💯2113.6%
🙏159.74%
🕊95.84%
31.95%
👀31.95%
😢31.95%
👏21.30%
🥰21.30%
🥱21.30%
👨‍💻10.649%

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 20 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 154 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 28 July 2026 to 3 August 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 20 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wissensgeist. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 28 July 2026 to 3 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

3 Aug 2026, 09:51 UTC734 views9 reactionsread 7 August 2026
Photo

Photo, posted without a caption

5🕊2🥰1🥱1

2 Aug 2026, 13:54 UTC343 views5 reactionsread 7 August 2026
Video

Ken Jebsen: Wir sind göttliche Intelligenz – und wissen es nicht Ken Jebsen alias Kayvan Soufi-Siavash beschreibt den Menschen als göttliche Intelligenz in Ausbildung, die auf der Erde zwischen Gut und Böse wählen und daran wachsen soll. Der Mensch ist göttliche Intelligenz in Ausbildung. Wir spielen die Schöpfung durch – auf einem Schulungsplaneten, auf dem wir zwischen Gut und Böse wählen können. Kayvan erklärt e

💯2👍1🔥1🥱1

2 Aug 2026, 10:20 UTC295 views5 reactionsread 7 August 2026
Photo

Tödliche Medizin und organisierte Kriminalität Peter C. Gøtzsche 📚 Buchbestellung Wie die Pharmaindustrie das Gesundheitswesen korrumpiert Ein Pharmakonzern wurde durch den Verkauf von Heroin groß. Ein anderer steht im Verdacht, mit falschen Behauptungen über ein Arthritis-Medikament den Tod von Tausenden Patienten verursacht zu haben. Ein weiterer belog die US-amerikanische Food and Drug Administration und wurde

2👀1👏1🔥1

2 Aug 2026, 10:16 UTC322 views5 reactionsread 7 August 2026

Tödliche Medizin und organisierte Kriminalität Peter C. Gøtzsche 📚 Buchbestellung Wie die Pharmaindustrie das Gesundheitswesen korrumpiert Ein Pharmakonzern wurde durch den Verkauf von Heroin groß. Ein anderer steht im Verdacht, mit falschen Behauptungen über ein Arthritis-Medikament den Tod von Tausenden Patienten verursacht zu haben. Ein weiterer belog die US-amerikanische Food and Drug Administration und wurde

2👍1💯1🔥1

1 Aug 2026, 11:49 UTC310 views11 reactionsread 7 August 2026

https://youtu.be/rkeTgx7rmqY?si=msAQQ67siXLUeqr7

5💯5🔥1

1 Aug 2026, 10:51 UTC≈4,130 views15 reactionsread 7 August 2026
Video

🇨🇭 DIE SCHWEIZ KNIET VOR KEINEM GESSLERHUT 🇨🇭 Wir Schweizer verbeugen uns vor keinem Gesslerhut – auch nicht, wenn er heute in Brüssel hängt. 1291 schlossen Uri, Schwyz und Unterwalden ihren Bund – zum gegenseitigen Beistand gegen Gewalt und Unrecht und zur Wahrung ihrer Rechte. Der Überlieferung nach wurde dieser Bund auf dem Rütli beschworen. Das ist kein Museumsstück. Es ist ein Auftrag. Wilhelm Tell steht für

13💯1🥰1

1 Aug 2026, 08:02 UTC308 views8 reactionsread 7 August 2026
Video

Ken Jebsen: Warum freie Deutsche den Mächtigen gefährlich werden Ken Jebsen alias Kayvan Soufi-Siavash erklärt, warum Deutschland aus seiner Sicht immer wieder zum unbequemen Konkurrenten wurde und Menschen, die bestehende Machtstrukturen infrage stellen, Widerstand von oben erfahren. Deutschland war schon immer ein unbequemer Konkurrent. Wer das Pyramidenspiel umdreht, macht sich keine Freunde ganz oben. Kayvan üb

4🙏2💯1🔥1

31 Jul 2026, 14:26 UTC288 views7 reactionsread 7 August 2026
Video

Dr. Helmut Sterz zu den RKI-Files: Wurden Geimpfte zu Versuchspersonen? Dr. Helmut Sterz verweist auf das Protokoll des RKI-Krisenstabs vom 27. April 2020. Darin heißt es: „Vorbereitung der Einführung einer Impfung: Es werden mehrere Impfstoffe kommen, die im Schnelldurchgang entwickelt und geprüft wurden. Relevante Daten werden erst Post-Marketing erhoben.“ Ganzes Interview: Dr. Helmut Sterz: „Die Corona-Impfung w

🔥3💯21👍1

31 Jul 2026, 13:56 UTC257 views5 reactionsread 7 August 2026
Video

Dr. Helmut Sterz: Turbokrebs-Fälle – wird hier vertuscht? Dr. med. vet. Helmut Sterz, ehemaliger Chef-Toxikologe bei Pfizer, äußert sich zu Berichten über ungewöhnlich aggressive Krebserkrankungen und kritisiert den Umgang offizieller Stellen mit diesem Thema. Er hinterfragt Studien, auf die sich politische Entscheidungsträger berufen, und fordert eine offene wissenschaftliche Debatte. ▶️ Das vollständige Interview

🔥21👨‍💻1💯1

31 Jul 2026, 13:35 UTC241 views7 reactionsread 7 August 2026
Video

Dr. Helmut Sterz: Die Impf-Mafia entlarvt Dr. med. vet. Helmut Sterz, ehemaliger Chef-Toxikologe bei Pfizer, spricht über die wirtschaftlichen Interessen hinter der Covid-Impfkampagne und erklärt, weshalb er in seinem Buch von einer „Impf-Mafia“ spricht. ▶️ Ganzes Interview: https://youtu.be/oRRJN2tInuo?si=mVyBgHs8fFLJxngQ ▶️ Bericht auf Substack lesen: Ex-Pfizer-Chef-Toxikologe: Das größte Menschenexperiment der

👍41👏1🙏1

31 Jul 2026, 13:21 UTC248 views7 reactionsread 7 August 2026
Video

Dr. Helmut Sterz: „Die Leute haben mitgemacht“ – Ex-Cheftoxikologe bei Pfizer Dr. Helmut Sterz, ehemaliger Cheftoxikologe bei Pfizer, erklärt, warum aus seiner Sicht so viele Menschen während der Corona-Zeit widerspruchslos mitgemacht haben. Auf die Frage nach einer möglichen gezielten Bevölkerungsreduktion antwortet Dr. Helmut Sterz differenziert. Für ihn liegt die eigentliche Lehre der Corona-Zeit woanders: Viele

👍3💯21👀1

30 Jul 2026, 12:31 UTC325 views7 reactionsread 7 August 2026
Video

Dr. Hans van der Waerden: Odessa 2014 – die Täter wurden nicht bestraft, sondern gefeiert Am 2. Mai kam es in Odessa zu einem der schwersten Gewaltereignisse des Konflikts. Dutzende Demonstranten wurden in das Gewerkschaftshaus getrieben, das anschließend in Brand gesetzt wurde. Über 40 Menschen kamen ums Leben – durch Feuer, Stürze aus Fenstern oder Gewalt beim Fluchtversuch. Entscheidend ist nicht nur die Tat selb

😢3🕊2💯1🙏1

Showing the 12 most recent of 20 posts we hold for @wissensgeist. 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

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 12 registered channels — 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Heiko Schöning offiziell
@heiko_schoening · 33,925
Telegram ranks this channel #13 of 80 here — alongside 79 others — read 3 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Wissensgeist.TV” (@wissensgeist), 3,246 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/wissensgeist.

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.