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 12 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
12 measurements spanning 32 days, net +1,065. 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 6,167–7,578 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Sept 2026, 08:57
7,397
-2
2 Sept 2026, 06:24
7,399
-1
29 Aug 2026, 23:54
7,400
+2
26 Aug 2026, 16:13
7,398
+1
23 Aug 2026, 09:08
7,397
-6
19 Aug 2026, 16:16
7,403
-12
16 Aug 2026, 16:38
7,415
+5
13 Aug 2026, 11:23
7,410
+1,079
10 Aug 2026, 02:23
6,331
+1
6 Aug 2026, 19:31
6,330
-2
6 Aug 2026, 10:30
6,332
no change
6 Aug 2026, 09:52
6,332
first reading
Engagement
73 posts held, back to 29 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.62%
avg views ÷ 7,397 subscribers
Avg views / post
415
12 posts measured
Reaction rate
1.75%
reactions ÷ views · ER floor
Posts in window
12
of 73 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 26 August 2026
Posts held
73 (29 July 2026 – 26 August 2026)
Views total
4,985
Reactions total
87
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 23:16 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
3h 33m
Average length
26m 44s
Measured directly from 8 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
625 reactions across 72 posts, in 12 distinct kinds. The most used accounts for 30.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
193
30.9%
❤
141
22.6%
👏
99
15.8%
🔥
91
14.6%
💯
56
8.96%
❤🔥
19
3.04%
⚡
14
2.24%
🤔
7
1.12%
🤬
2
0.32%
😢
1
0.16%
😭
1
0.16%
🤣
1
0.16%
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 72 of the 73 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 625 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 29 July 2026 to 26 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.
Los intentos de reescribir la historia del covid podrían estar tocando fondo... Catte B
Tras un intercambio reciente en X con una cuenta que se hace llamar "Faceless", estamos detectando lo que parece ser una nueva maniobra para reescribir la historia del covid, esta vez mezclando las dudas legítimas sobre la seguridad de las "vacunas" (no probadas e innecesarias, y que probablemente estén matando a miles de persona…
Las masas y cómo resguardar la mente individual.
En este vídeo exploramos los conocimientos de Carl Jung, Gustave Le Bon y Chase Hughes para comprender cómo se forma la masa y cómo sus mecanismos también pueden instalarse dentro de uno mismo. Reconocerlos puede ser una forma más de recuperar y resguardar la mente individual 🧶
⇨ Link a vídeo https://youtu.be/algrBDMs6y8?si=WLcg3JX65-xoGpZI
〈 2/2 〉Muchos de estos medicamentos se estudiaron durante apenas unas semanas y luego se recetaron durante décadas. No hay salida porque nunca se construyó una vía de acceso para un tiempo limitado. Si intentas dejar el antidepresivo, te das cuenta de que tu cerebro se ha adaptado a él. Si intentas dejar el benzodiacepínico, puedes tener convulsiones. La receta se renueva sola. O sigues con eso o sigues con eso.
Tu …
〈 1/2 〉“No te enfermaste. Te suscribiste” por Joshua Stylman vía Brown Stone Institute
Pastillas para despertarse, pastillas para dormir
Pastillas, pastillas, pastillas todos los días de la semana
Pastillas para caminar, pastillas para pensar
Pastillas, pastillas, pastillas para la familia
– St. Vincent
¿Se está volviendo loco el mundo, o es que todos están bajo los efectos de alguna sustancia? Miro a mi alrededor …
Una publicación puntual e importante de mi amigo Andrés Bravo:
“Hoy quiero hacer un llamado a algo que parece sencillo, pero que cada vez nos cuesta más: la unidad.
Sube el huevo y nos quejamos, pero lo seguimos comprando. Sube la tortilla, la gasolina, los servicios… nos enojamos, lo comentamos unos días y después seguimos como si nada. Ahora, con el nuevo requisito para las líneas telefónicas, algunos protestamos…
Showing the 12 most recent of 73 posts we hold for @counterpropaganda20. 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
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.
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.
Marcelo Daniel Otero CDS @MarceloDanielOteroCDS · 21,860 Telegram ranks this channel #4 of 74 here — alongside 73 others — read 22 September 2026
Natalia Prego Cancelo MD, Dra, oficial Canal de difusión @DraNataliaPrego · 24,594 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 15 September 2026
NO + SECRETOS @No_plandemia · 43,670 Telegram ranks this channel #9 of 76 here — alongside 75 others — read 28 August 2026
Nur Para Todos OFICIAL @nurparatodos81 · 22,068 Telegram ranks this channel #10 of 73 here — alongside 72 others — read 21 September 2026
Jorge Guerra - Canal de Historia @canaljorgeguerra · 22,010 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 22 September 2026
EL AULLIDO CANAL Fernando López-Mirones @elaullido · 43,557 Telegram ranks this channel #16 of 88 here — alongside 87 others — read 28 August 2026
@InfoVacunas @InfoVacunas · 59,027 Telegram ranks this channel #22 of 79 here — alongside 78 others — read 22 August 2026
Guerreros Estoicos 🏹 @guerrerosestoicos · 38,006 Telegram ranks this channel #23 of 64 here — alongside 63 others — read 31 August 2026
HealthBest Juan Zaragoza @healthbest · 36,653 Telegram ranks this channel #24 of 77 here — alongside 76 others — read 1 September 2026
𝑼𝑵𝑬 80 𝑰𝒏𝒇𝒐𝒓𝒎𝒂 @une80 · 47,477 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 26 August 2026
PLANDEMIA MUNDIAL COVID 2021 @PLANDEMIA_MUNDIAL_COVID · 79,613 Telegram ranks this channel #36 of 75 here — alongside 74 others — read 18 August 2026
Mundo Desconocido @Mundo_Desconocido_Oficial · 28,329 Telegram ranks this channel #38 of 74 here — alongside 73 others — read 9 September 2026
☨ ⚜ Espíritu Templario ⚜ ✠ Noticias 📰 @espiritutemplario · 48,639 Telegram ranks this channel #51 of 85 here — alongside 84 others — read 26 August 2026
Akasha Comunidad @akashacomunidad · 49,959 Telegram ranks this channel #55 of 87 here — alongside 86 others — read 25 August 2026
CANAL 5TV INFORMA @canal5informa · 42,318 Telegram ranks this channel #62 of 80 here — alongside 79 others — read 29 August 2026
UFO - OVNI #proyectoalphacrucis III @OVNIUFO · 39,230 Telegram ranks this channel #64 of 80 here — alongside 79 others — read 6 September 2026
COMUSAV EN ESPAÑOL @comusav · 58,333 Telegram ranks this channel #64 of 73 here — alongside 72 others — read 22 August 2026
Dulce Revolución Canal Oficial @DulceRevolucionDifusion · 30,369 Telegram ranks this channel #71 of 73 here — alongside 72 others — read 7 September 2026
Movimiento Asistencia Integral @movimiento_asistencia_integral · 28,065 Telegram ranks this channel #72 of 80 here — alongside 79 others — read 10 September 2026
Josep Pàmies Oficial @JosepPamiesOficial · 73,060 Telegram ranks this channel #78 of 83 here — alongside 82 others — read 19 August 2026
This channel appears in 20 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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“Counterpropaganda” (@counterpropaganda20), 7,397 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/counterpropaganda20.
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.