Ulrich Siegmund 2025 zum Thema Corona. t.me/Rosenbusch
Channel
Tweets von Stefan Homburg und andere Inhalte - Support, kein offizieller Kanal
@stefanhomburg
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
8,604subscribers
-22 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 |
|---|---|
| Type | Channel |
| Username | @stefanhomburg |
| Description | Ua Meldungen von Stefan Homburg, Twitter.com/shomburg ist der offizielle Kanal von S. Homburg! Alle geteilten Inhalte (Distanzierung von selbigen) können das durchdenken der Leser anregen und stellen in keinem Fall Handlungsaufforderungen dar. |
| Created | 6 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/stefanhomburg |
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.
@ProfSucharitBhakdi · Channel6,295 subscribersDr. Markus Krall & more u.a. Dr. Markus Elsässer, Florian Homm. Solange Hr Krall einen eigenen Telegram channel erstellt..
@MarkusKrall · Channel5,167 subscribers❤️ Corona Ausschüsse Informationen, Ärzte für Aufklärung, Stiftung Corona Ausschuss Runder Tisch 2020
@aerztefueraufklaerung · Channel5,119 subscribers
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 10:16 | 8,604 | -7 |
| 14 Aug 2026, 00:27 | 8,611 | -11 |
| 10 Aug 2026, 14:12 | 8,622 | -3 |
| 7 Aug 2026, 09:27 | 8,625 | -1 |
| 6 Aug 2026, 10:18 | 8,626 | no change |
| 6 Aug 2026, 09:49 | 8,626 | first reading |
Engagement
34 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 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 22.0%
- avg views ÷ 8,604 subscribers
- Avg views / post
- 1,900
- 19 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 19
- of 34 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.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 34 (13 June 2026 – 16 August 2026) |
| Views total | 36,033 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 04:02 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
- Photos
- ≈5,010
- Videos
- ≈1,050
- Links
- ≈8,950
Lifetime counters from Telegram’s own channel header, read 18 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 28m 24s
- Average length
- 2m 22s
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.
Recent posts
Hack the System
Fauci Rick Bright Milken Institute "Ende November 2019 saß der Direktor der BARDA, Rick Bright, auf einem hochkarätigen Podium. Die Behörde der USA für „fortgeschrittene biomedizinische Forschung und Entwicklung“ (BARDA steht für Biomedical Advanced Research and Development Authority) ist eine Abteilung des Gesundheitsministeriums und war stark an der Erforschung und Produktion vieler Corona-Impfstoffe beteiligt. …
Homburg: „Warum änderten Drosten und Fauci ihre Ansicht zu Corona im März 2020 von „harmlos” zu „hochgefährlich”? Drosten: Verweigerte im Bundestag eine Antwort. Fauci: Verweigerte im Kongress alle Antworten. Was schließen Menschen mit einem IQ über 80 daraus? Hintergrund: Laut Faktencheckern gab es ständig neue Erkenntnisse. In Wirklichkeit war es umgekehrt: Die Fachliteratur stufte die Gefährlichkeit von Monat z…
Rechtsanwalt Tobias Ulbrich: „Warum es nach dem Stand der wissenschaftlichen Literatur naheliegt, dass die COVID-19-Impfung in der Schwangerschaft an den Schäden Ihres Kindes ursächlich beteiligt sein kann Mit dieser Kurzinformation möchten wir Ihnen – ohne medizinisches Fachvokabular – erklären, warum die aktuelle wissenschaftliche Literatur nach unserer Einschätzung dafür spricht, dass der Impfstoff grundsätzlich…
Prof. Frank Urbaniok (forensischer Psychoanalytiker) erklärt kompakt, warum und wie Antifaschimus zu Linksfaschismus wird. https://www.youtube.com/watch?v=NuhZihgD3SQ
Ulrike Guerot: Krisenerzählungen sind (immer) Herrschaftsinstrumente. https://www.youtube.com/watch?v=tv1AluU9yKQ
Faktencheck-Check von Prof Homburg: „1. Faucis Lüge widersprach seiner wahren Ansicht. 2. Laut Faktenfinder erschien zwischen beiden Aussaen eine „Auswertung zu Schwangeren”. Das ist unwahr. 3. In Wahrheit gab es bloß einen Vermerk, 15.131 Schwangere seien versehentlich geimpft. Hintergrund: Im Januar 2021 war die modRNA für Schwangere gar nicht zugelassen, weil Pfizer diese Frauen von der Zulassungsstudie ausgesch…
Massensterilisation https://youtu.be/s65gTHv_D14?is=
Sehr, sehr wichtiger Beitrag von Homburg: Der Satz „wir haben es nicht besser gewusst“ hat mittlerweile extreme Auswirkungen auf meinen Blutdruck. Ich habe den Lockdown an Tag 1 aufgrund von DATEN (u.a. Ioannidis) verflucht. Weil viele andere, Tegnell, Wodarg und Co. es vorher wussten. https://multipolar-magazin.de/artikel/coronalage-maerz-2020 t.me/Rosenbusch
Ich bin ja erstmal froh, dass der breiten Öffentlichkeit neuerdings derart „umstrittenes“ Gedankengut zugänglich gemacht wird. Und doch möchte ich sogleich widersprechen. Europa wird nicht „zerstört“ werden. Und hier ist auch niemand dumm. Bevor es richtig eskaliert, werden sie die totalitäre Kontrolle über den Überwachungsstaat übernehmen, der gerade live installiert wird. Eine Geheimpolizei und voller Zugriff auf…
Homburg zur Busfahrer-Story: „Zufällig vorbeikommender Busfahrer erlegt Semtex-Drohne per Fußtritt! Sämtliche Leitmedien finden das glaubhaft. Aber auch NIUS und Apollo fallen auf den absurdesten Nonsens herein, seit Chinesen die Straßen von Viren reinigten. Hintergrund: Einige fürchten, Berlin wolle den Spannungs- oder Verteidigungsfall ausrufen, mit noch krasseren Lockdowns. Das ist unplausibel, denn Kriegsvorber…
Showing the 12 most recent of 34 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.
Citation-graph rank
Citation-graph rank — 886,225 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@Metropolregion_Muenchen · 83 postsTiffany Dover - Lockdown tötet uns
@michael_wendlerofficial · 291 postOberpfalz Medienschau und Tageskorrektur zu Medienberichten in der Opf Weiden, Regensburg, Amberg, Neumarkt, Schwandorf Bayern
@oberpfalzmedienspiegel · 581 postPolit-Betrüger
@politbetrueger · 61 post❌ Friedrich Pürner, Sucharit Bhakdi, Wodarg Haditsch Hockertz Wittkowski Homburg Unterdrückte Stimmen
@ProfSucharitBhakdi · 6,2951 post
Republishes
Channels on the register whose posts this channel has forwarded.
@rosenbusch · 72,35715 postsMainstreamhörigkeit beenden - Aufklärung und Ende der Mainstream Filterblase - Sapere Aude statt Manipulation
@mainstreamhoerigkeit · 1,3118 postsAlice Weidel - Support
@AliceWeidelSupport · 13,4243 postsKla.TV - Klagemauer TV
@KlagemauerTV · 75,7041 postDr. Markus Krall & more u.a. Dr. Markus Elsässer, Florian Homm. Solange Hr Krall einen eigenen Telegram channel erstellt..
@MarkusKrall · 5,1671 postreitschuster.de
@reitschusterde · 209,2041 postSimone Voss - EINE LEHRERIN STEHT AUF-
@simonevoss · 39,8541 postDer Waldgang
@WaldgangAlbdruck · 14,5821 post
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.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- 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
- 1
- vacant every time we have ever looked
@stefanhomburg named 1 handle 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.
named in 4 posts, 8 August 2026 – 11 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 17 August 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), 8,604 subscribers as measured 17 August 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.