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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
32 measurements spanning 43 days, net -94. 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 19,738–19,879 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 14:19
19,769
+4
16 Sept 2026, 08:15
19,765
-3
14 Sept 2026, 15:37
19,768
+1
13 Sept 2026, 05:01
19,767
-5
11 Sept 2026, 04:39
19,772
-4
8 Sept 2026, 06:17
19,776
+22
5 Sept 2026, 02:15
19,754
-6
3 Sept 2026, 05:53
19,760
-13
2 Sept 2026, 02:32
19,773
-10
1 Sept 2026, 00:45
19,783
-5
31 Aug 2026, 02:25
19,788
-5
30 Aug 2026, 01:54
19,793
-3
29 Aug 2026, 00:44
19,796
-8
27 Aug 2026, 22:59
19,804
-9
26 Aug 2026, 20:04
19,813
-7
25 Aug 2026, 19:18
19,820
-4
24 Aug 2026, 21:23
19,824
+3
23 Aug 2026, 09:42
19,821
-3
21 Aug 2026, 21:27
19,824
-1
20 Aug 2026, 15:51
19,825
first reading
Engagement
10 posts held, back to 15 July 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
34.5%
avg views ÷ 19,769 subscribers
Avg views / post
6,820
4 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
4
of 10 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 1 September 2026
Posts held
10 (15 July 2026 – 1 September 2026)
Views total
27,270
Reactions total
360
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:00 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
1m 18s
Average length
1m 18s
Measured directly from 1 video 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
1,152 reactions across 10 posts, in 10 distinct kinds. The most used accounts for 72.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
836
72.6%
🔥
170
14.8%
❤🔥
53
4.60%
😱
29
2.52%
🦄
22
1.91%
👍
21
1.82%
💯
10
0.868%
👏
5
0.434%
🥰
5
0.434%
🆒
1
0.087%
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 10 of the 10 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 1,152 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 15 July 2026 to 1 September 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.
Berliner CDU biegt rechts ab. Ob die Christdemokraten nach den gemeinnützigen Vereinen wohl bald auch Kirchengemeinden wegmerzen?! Wir haben Fragen 😳
Volle Solidarität mit dem vvnbda. Euer Antifaschismus bewegt uns, eure Geschichte muss weiter gemacht werden. Und dabei ist auf uns Verlass 💌
Lasst gerne eine Spende bei unseren Freund*innen. Die investition lohnt sich 🙂↕️
https://vvn-bda.de/spenden/
PETITION UNTER…
Ein Antifaschismus ohne antirassistischen Kampf wird uns nichts bringen - Ein Artikel über den antirassistischen Block auf dem Protest in Erfurt
Während in München und Berlin neue Abschiebeterminals gebaut werden, haben linke Bewegungen immer noch Schwierigkeiten ein Drittel der Bevölkerung in ihre Kämpfe zu integrieren - Migrant*innen und Geflüchtete.
„Die Menschen trauen uns die Aufgaben nicht zu, oder sind überfor…
One last time: Amore und Furia Trikots bestellen!
Schwarze Trikots sind noch direkt lieferbar und es gibt eine letzte Chance, lila Trikots zu bestellen. Bis zum 30.8. um 18.00 Uhr könnt ihr im black mosquito Shop vorbestellen.
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Wie viel Prozent AfD es am 6.9. auch werden, eins ist klar: kein Prozent mehr macht Faschismus legitim. Wir sehen uns am 29.8. und am 6.9. auf der Straße: widersetzen!
Kinda chic: werde jetzt bei widersetzen aktiv und organisier dich in einer Ortsgruppe.
Bisous, eure Frühaufsteher.
Die Festung Europa muss für eine solidarische und menschliche Zukunft fallen. Dass eine der wenigen - in Sachen Migrationspolitik - progressiven EU Länderregierungen von Meloni bis Merz unter Druck gesetzt wird, ist spalterisches Kalkül. Das Recht auf Asyl ist ein Gut, wofür wir kämpfen.
🎒 Packliste & Infos für eure Bezugsgruppen
Damit ihr für den 01.08. gut vorbereitet seid, findet ihr hier alles Wichtige für den Tag in Schwerin: Was ihr einpacken solltet, woran ihr denken müsst und wie ihr euch als Bezugsgruppe gut organisiert.
📍 Am 01.08. finden in Schwerin Kundgebungen und Demonstrationen gegen die erste Mobilisierung der Generation Deutschland (ehem. JA) statt. Wenn ihr noch überlegt zu kommen:…
Let's Go Konferenz
Nur wenige Prozentpunkte trennen die AfD von der absoluten Mehrheit bei den Landtagswahlen am 6. September. Was bedeutet das für antifaschistische Strategien und Zusammenarbeit in Sachsen-Anhalt und bundesweit?
📍 Festung Mark, Magdeburg
🗓 Sonntag, 26.07. | 11–17 Uhr (Ankommen ab 10:30)
Podium - Workshops - Verabredungen
Alle antifaschistischen Initiativen, zivilgesellschaftlichen Organisationen und…
🫂 Wir wählen Solidarität.
Die anstehenden Landtagswahlen, u.a. in Sachsen-Anhalt, erschüttern. Während Ullrich Siegmund Skandal nach Skandal in der AfD lostritt, schreit sein 10 Punkte Plan nach Hass und Hetze. Das ist rechter Kulturkampf, der bereit ist, Existenzen zu zerstören.
Wir treffen uns deswegen Ende Juli in Magdeburg. An alle, über deren Zukunft bei den Landtagswahlen entschieden wird: wir lassen euch nic…
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🔥32👍7❤5🦄3❤🔥2
Showing the 10 most recent of 10 posts we hold for @widersetzen_essen. 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 6 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.
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“widersetzen” (@widersetzen_essen), 19,769 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/widersetzen_essen.
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.