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Channel

Tweets von Stefan Homburg und andere Inhalte - Support, kein offizieller Kanal

@stefanhomburg

On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

8,555subscribers

-71 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-1001343539093
TypeChannel
Username@stefanhomburg
Created6 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/stefanhomburg

Topic

Politics & activism — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,5558,6268,590.56 August 2026 — 8,626 subscribers6 August 2026 — 8,626 subscribers7 August 2026 — 8,625 subscribers10 August 2026 — 8,622 subscribers14 August 2026 — 8,611 subscribers17 August 2026 — 8,604 subscribers20 August 2026 — 8,601 subscribers24 August 2026 — 8,594 subscribers27 August 2026 — 8,586 subscribers31 August 2026 — 8,582 subscribers2 September 2026 — 8,577 subscribers8 September 2026 — 8,562 subscribers12 September 2026 — 8,558 subscribers16 September 2026 — 8,555 subscribers6 August 202616 September 2026
14 measurements spanning 41 days, net -71. 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 8,544–8,637 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 05:198,555-3
12 Sept 2026, 15:558,558-4
8 Sept 2026, 08:598,562-15
2 Sept 2026, 21:118,577-5
31 Aug 2026, 02:448,582-4
27 Aug 2026, 17:428,586-8
24 Aug 2026, 09:568,594-7
20 Aug 2026, 15:158,601-3
17 Aug 2026, 10:168,604-7
14 Aug 2026, 00:278,611-11
10 Aug 2026, 14:128,622-3
7 Aug 2026, 09:278,625-1
6 Aug 2026, 10:188,626no change
6 Aug 2026, 09:498,626first reading

Engagement

46 posts held, back to 13 June 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 27 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.91%
avg views ÷ 8,555 subscribers
Avg views / post
677
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 46 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held46 (13 June 2026 – 28 August 2026)
Views total677
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 16:58 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
40m 14s
Average length
2m 31s

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.

Recent posts

28 Aug 2026, 06:07 UTC677 viewsread 28 August 2026
Forwarded from @rosenbuschVideo

Stefan Homburg: „Familienvater und Kinderärztin greifen @_FriedrichMerz für die jüngsten Kürzungen an. Letztere gleichen aber nicht einmal die steigenden Schuldzinsen aus. Merz sollte allen klaren Wein einschenken: Die Kriegspolitik von Union und SPD verlangt noch viele magere Jahre. Hintergrund: Die Koalition hat schmerzhafte Kürzungen, neue Steuern und massive Beitragserhöhungen hinter die Landtagswahlen gelegt. …

25 Aug 2026, 14:13 UTC≈1,380 viewsread 28 August 2026
Forwarded from @tomdabassmanPhoto

Deutschland leistet sich zwei parallele Stromerzeugungssysteme mit einer Gesamtleistung von 284 GW, das ist knapp das Vierfache der Spitzenlast. Da während der Dunkelflaute im Herbst die zwei großen Flächen rechts auf praktisch Null zusammenschrumpfen, und Kohle nach der Kernkraft auch noch stillgelegt werden soll, müssen wir nun schnell 20 Gaskraftwerke zubauen. Ausschreibung läuft. Gleichzeitig sind Milliardeninves…

24 Aug 2026, 05:39 UTC≈1,540 viewsread 28 August 2026
Forwarded from @rosenbuschPhoto

Stefan Homburg: „Die ganze „Pandemie” fußt auf Betrug und Vertuschung. In Deutschland gibt es keine Protokolle über den Lockdownbeschluss vom 15.03.2020. Oder sie wurden vernichtet. In UK und USA ist die Täuschung der Öffentlichkeit großes Thema. Link: https://www.telegraph.co.uk/news/2026/08/20/british-scientist-plotted-to-cover-up-covid-lab-leak/ Hintergrund: Die Verschwörer Morens und Daszak ließen dienstliche …

23 Aug 2026, 08:43 UTC≈1,620 viewsread 28 August 2026
Forwarded from @mainstreamhoerigkeitPhoto

Es sind niemals Völker und Menschen die gegeneinander Krieg führen, sondern stets Staaten.

22 Aug 2026, 08:49 UTC≈1,910 viewsread 28 August 2026
Forwarded from @AliceWeidelSupport

AFD Kinderschutzkongress 2026 - Satanistische Pädos, Epstein-Eliten – Ermittler packt aus! – Uwe Kranz Was jeder "Normalbürger" machen kann. TEILEN , um die Medien Filterblase zu Einsturz zu bringen! Natürlich wieder die üblichen Kirchen und Verdächtigen, die diesen Kongress verhindern wollten... https://jungefreiheit.de/politik/deutschland/2026/warum-kirchen-und-antifa-gegen-den-kinderschutzkongress-mobilisieren/

22 Aug 2026, 06:44 UTC≈1,590 viewsread 28 August 2026
Forwarded from @MarkusKrall

https://youtu.be/JNSJT4A99OU?is=

21 Aug 2026, 20:35 UTC≈1,660 viewsread 28 August 2026
Forwarded from @mainstreamhoerigkeitVideo

Zum Wohle des volkes ... Volksgesundheit voran.. https://www.youtube.com/watch?v=E7y9Iz-sTOo

21 Aug 2026, 20:35 UTC≈1,540 viewsread 28 August 2026
Forwarded from @mainstreamhoerigkeitVideo

Versorgungsämpter - Der Staat ist nicht dein Freund https://www.youtube.com/watch?v=E7y9Iz-sTOo

18 Aug 2026, 17:07 UTC≈1,720 viewsread 28 August 2026
Forwarded from @rosenbuschVideo

Jeffrey Tucker behauptet Beweise zu haben, dass der Plan für Lockdowns „bereits fertig“ war, bevor die Pandemie überhaupt begonnen hatte. Warum? Um die Bevölkerung krank zu halten, damit die Menschen „verzweifelt nach den Spritzen verlangen“ würden. Zwei Wochen bevor der berüchtigte proximal origin-Artikel verfasst wurde, hatte Moderna „bereits mit der Arbeit an einem Produkt begonnen, das sie Impfstoff nannten“. …

18 Aug 2026, 06:25 UTC≈1,760 viewsread 28 August 2026
Forwarded from @bitteltvPhoto

Bauernproteste in den Niederlanden: Widerstand gegen den Stickstoff-Irrsinn Die niederländischen Bauern sind zurück. Mit hunderten Traktoren demonstrieren sie erneut gegen die strengen Stickstoffvorgaben und die drohende Entziehung von Naturgenehmigungen. Besonders im Fokus stehen fünf Geflügelhalter in Noord-Brabant, denen die Provinz die Genehmigungen entziehen will – ein Schritt, der ihre wirtschaftliche Existenz…

Showing the 12 most recent of 46 posts we hold for @stefanhomburg. 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 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.

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.

OVALmedia | Deutsch
@OVALmedia · 22,223
Telegram ranks this channel #51 of 87 here — alongside 86 others — read 21 September 2026
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · 48,456
Telegram ranks this channel #74 of 80 here — alongside 79 others — read 26 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Tweets von Stefan Homburg und andere Inhalte - Support, kein offizieller Kanal” (@stefanhomburg), 8,555 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/stefanhomburg.

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.