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In eigener Sache: t.me/multipolar_magazin/8760
Dieser Telegramkanal ist eine private Leserinitiative & wird nicht vom Magazin Multipolar verantwort.
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Created
24 December 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
National news — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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 the other topics.
Growth
64 measurements spanning 100 days, net -336. 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 22,646–23,085 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
14 Nov 2026, 03:48
22,697
-12
11 Nov 2026, 10:06
22,709
-2
9 Nov 2026, 13:37
22,711
-4
8 Nov 2026, 02:57
22,715
-1
6 Nov 2026, 20:20
22,716
-4
5 Nov 2026, 16:54
22,720
-2
4 Nov 2026, 17:19
22,722
-13
3 Nov 2026, 17:09
22,735
-3
2 Nov 2026, 17:50
22,738
-4
1 Nov 2026, 14:50
22,742
-9
31 Oct 2026, 13:49
22,751
-3
30 Oct 2026, 10:16
22,754
-9
29 Oct 2026, 11:18
22,763
-2
28 Oct 2026, 11:26
22,765
+2
27 Oct 2026, 12:49
22,763
-3
26 Oct 2026, 10:40
22,766
-11
25 Oct 2026, 13:56
22,777
+2
24 Oct 2026, 10:55
22,775
-9
23 Oct 2026, 10:50
22,784
-6
22 Oct 2026, 11:09
22,790
first reading
Engagement
92 posts held, back to 18 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 114 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
35.2%
avg views ÷ 22,697 subscribers
Avg views / post
7,990
33 posts measured
Reaction rate
0.604%
reactions ÷ views · ER floor
Posts in window
33
of 92 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
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
92 (18 June 2026 – 13 November 2026)
Views total
263,690
Reactions total
1,593
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 15:14 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
≈70
Videos
≈14
Links
≈7,140
Lifetime counters from Telegram’s own channel header, read 15 November 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.
Reaction mix
5,407 reactions across 92 posts, in 3 distinct kinds. The most used accounts for 75.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
4,103
75.9%
👎
1,007
18.6%
🤔
297
5.49%
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 92 of the 92 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 5,407 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 92 most recent posts we hold, published 18 June 2026 to 13 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 33 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🗞 Ex-„Bild“-Chef: Deutsche Medien haben sich seit Corona „gleichgeschaltet“
➠ Meldung lesen ... Früherer „Bild“-Zeitung-Chefredakteur Julian Reichelt in Interview: Traditionelle Medien „profitierten enorm“ von Corona-Krise – Markus Lanz war „Corona-Tribunal“ / Neue Medien erfolgreich bei jungen Menschen, weil alte Medien ihre Nutzer „umerziehen“ wollen / Regierung und Leitmedien bekämpfen neue Medien wegen Verlust de…
🗞 „Nord Stream“-Prozess: Geheimdiensthinweis lenkte Ermittlungen auf Andromeda-Segeljacht
➠ Meldung lesen ... Beamter des Bundeskriminalamts: Geheimdiensthinweis ging beim Verfassungsschutz ein, der vorab am Tatort ermittelte / Verteidiger: Andere Hypothesen noch vor Überprüfung „faktisch ausgeschlossen“ / Gutachter: Sprengstoff deutet auf militärischen Ursprung hin
alle bisherigen Beiträge: Meldungen, Artikel, täg…
🗞 Ex-RKI-Wissenschaftler über Corona-Zeit: Politik hat wissenschaftliche Erkenntnisse „gefiltert“
➠ Meldung lesen ... Physikprofessor Dirk Brockmann: Auswahl wissenschaftlicher Erkenntnisse nach ihrer Bedeutsamkeit für die „politische Agenda“ / Disput bei Podiumsdiskussion mit Journalistin Aya Velazquez und Historikerin Tove Soiland um Brockmann-Studie von 2021, die Corona-Krise als „hauptsächlich von Ungeimpften ver…
✒️ Fast sechs Jahre nach Beginn der Corona-Impfkampagne hat das Paul-Ehrlich-Institut nun eine Auswertung der Daten veröffentlicht, die die eigens gestartete „SafeVac“-App zu Nebenwirkungen sammelte. Doch wesentliche Angaben, etwas zur Häufigkeit schwerer Schäden, fehlen – und die Rohdaten bleiben geheim. Multipolar hat mit Fachleuten gesprochen und ordnet die Daten und die Qualität der Auswertung ein.
➠ Artikel les…
🗞 Linken-Sachverständiger in Corona-Enquete: Behörden haben „Klima der Repression“ erzeugt
➠ Meldung lesen ... Gesundheitswissenschaftler: Angst führte zu vermeidbaren Infektionen, vermeidbarer Polarisierung und „Beschädigung des öffentlichen Diskurses“ / Erfahrungen aus der AIDS-Krise wurden nicht genutzt / Bundeszentrale für gesundheitliche Aufklärung während Corona-Krise vom Ministerium „nicht ausreichend gehört“
…
🗞 Bericht: Aktuelle EU-Sanktionsliste „voller Fehler“ und offenbar mit Künstlicher Intelligenz erstellt
➠ Meldung lesen ... Analyse von Online-Medium: „Schlamperei“ statt „akribischer Bürokratie“ bei EU-Sanktionen / US-Internetzeitung: EU sollte Nutzung von KI offenlegen und erklären, wie die Ergebnisse überprüft werden / Sanktionen gegen deutsche und Schweizer Journalisten und Publizisten verlängert
alle bisherigen…
✒️ Die Historikerin Andrea Komlosy präsentiert in ihrem neuen Buch einen umfangreichen Überblick über die Geschichte der Globalisierung und beleuchtet dabei auch mögliche finanzpolitische Hintergründe der Coronakrise. Multipolar veröffentlicht einen Auszug.
➠ Artikel lesen
alle bisherigen Beiträge: Artikel, Meldungen, tägliche Hinweise, Literatur. @multipolar_magazin
🗞 Zentrum der Helmholtz-Gemeinschaft erlaubt erstmals Forschung fürs Militär
➠ Meldung lesen ... Neue Richtlinie des Deutschen Elektronen-Synchrotrons vom September 2026 erlaubt „verteidigungsrelevante Projekte“ / Neue Stabsstelle für „Sicherheits- und Resilienzforschung“ der Helmholtz-Gemeinschaft nennt US-amerikanische und israelische Militärforschungsagenturen als Vorbilder / Kritik von Wissenschaftlern: öffentlic…
🗞 Ex-„Bild“-Chef: Verlegerin Springer schrieb eigenen Medien bei Corona Regierungslinie vor
➠ Meldung lesen ... Früherer „Bild“-Zeitung-Chefredakteur Julian Reichelt in Interview: schriftliche Aufforderung von Herausgeberin Friede Springer, die Bundesregierung medial zu unterstützen / Keiner der „Mächtigen“ hat an Corona „geglaubt“ – Regierungspolitiker und Journalisten missachteten Corona-Regeln privat / Regierungsm…
🗞 Corona-Impfschäden bei Kindern: Bislang lediglich 13 von 172 Anträgen in Deutschland anerkannt
➠ Meldung lesen ... Entschädigungszahlungen aus keinem Bundesland bekannt / Herzmuskel- und Herzbeutelentzündung unter den anerkannten Schäden / Ländervergleich mit Dänemark zeigt mutmaßliche Untererfassung in Deutschland
alle bisherigen Beiträge: Meldungen, Artikel, tägliche Hinweise, Literatur. @multipolar_magazin
🗞 Suizide bei Frauen nehmen zu – Anstieg bei Mädchen „besonders auffällig“
➠ Meldung lesen ... Stiftung Patientenschutz: 2025 so viele Suizide wie seit 30 Jahren nicht mehr / Frauen begehen häufiger assistierten Suizid als Männer / Stiftung Deutsche Depressionshilfe und Suizidprävention: „Normalisierung“ durch Liberalisierung des assistierten Suizids
alle bisherigen Beiträge: Meldungen, Artikel, tägliche Hinweise, …
👎19🤔12👍2
Showing the 12 most recent of 92 posts we hold for @multipolar_magazin. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
STEFAN HOMBURG @StefanHomburgOffiziel · 66,487 Telegram ranks this channel #6 of 65 here — alongside 64 others — read 19 September 2026
Tom Lausen ‼️❗️original Datenanalyst @TomLausen · 45,171 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 27 August 2026
Aya Velázquez @ayawasgeht · 21,447 Telegram ranks this channel #8 of 84 here — alongside 83 others — read 22 September 2026
Dr. Michael Nehls @MichaelNehls · 32,309 Telegram ranks this channel #15 of 82 here — alongside 81 others — read 5 September 2026
OVALmedia | Deutsch @OVALmedia · 21,905 Telegram ranks this channel #24 of 87 here — alongside 86 others — read 21 September 2026
MANOVA @ManovaMagazin · 24,716 Telegram ranks this channel #26 of 79 here — alongside 78 others — read 15 September 2026
Kontrafunk - Die Stimme der Vernunft @kontrafunk2 · 24,226 Telegram ranks this channel #37 of 81 here — alongside 80 others — read 16 September 2026
MARC FRIEDRICH ⋆ @MarcFriedrichDeut · 180,116 Telegram ranks this channel #41 of 78 here — alongside 77 others — read 30 August 2026
apolut. @apolut · 86,169 Telegram ranks this channel #44 of 83 here — alongside 82 others — read 17 August 2026
Ernst Wolff @Wolff_Ernst · 21,682 Telegram ranks this channel #49 of 76 here — alongside 75 others — read 22 September 2026
Dr. Daniele Ganser @DanieleGanser · 73,258 Telegram ranks this channel #59 of 85 here — alongside 84 others — read 19 August 2026
Christine Anderson, MdEP (AfD) @christineanderson · 34,916 Telegram ranks this channel #66 of 86 here — alongside 85 others — read 2 September 2026
This channel appears in 12 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“Multipolar Magazin” (@multipolar_magazin), 22,697 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/multipolar_magazin.
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.