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 99% 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
25 measurements spanning 97 days, net +282. 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 5,474–5,841 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
11 Nov 2026, 03:47
5,799
+4
7 Nov 2026, 04:00
5,795
+3
4 Nov 2026, 03:24
5,792
+10
31 Oct 2026, 19:18
5,782
+27
28 Oct 2026, 14:47
5,755
+17
26 Oct 2026, 00:28
5,738
+28
22 Oct 2026, 20:11
5,710
+48
19 Oct 2026, 07:45
5,662
+22
16 Oct 2026, 07:17
5,640
+8
13 Oct 2026, 17:28
5,632
+21
7 Oct 2026, 18:40
5,611
+20
30 Sept 2026, 19:40
5,591
+9
12 Sept 2026, 16:17
5,582
+7
8 Sept 2026, 21:20
5,575
+2
3 Sept 2026, 23:37
5,573
+4
31 Aug 2026, 15:44
5,569
+16
28 Aug 2026, 21:25
5,553
+5
25 Aug 2026, 21:28
5,548
+5
22 Aug 2026, 17:03
5,543
+7
19 Aug 2026, 13:52
5,536
first reading
Engagement
49 posts held, back to 21 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 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.5%
avg views ÷ 5,799 subscribers
Avg views / post
1,310
20 posts measured
Reaction rate
1.15%
reactions ÷ views · ER floor
Posts in window
20
of 49 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 4 November 2026
Posts held
49 (21 July 2026 – 4 November 2026)
Views total
26,145
Reactions total
300
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 18:58 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
1m 49s
Average length
18s
Measured directly from 6 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
601 reactions across 48 posts, in 15 distinct kinds. The most used accounts for 67.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
406
67.6%
🔥
83
13.8%
❤🔥
48
7.99%
👏
17
2.83%
🤬
16
2.66%
🤮
7
1.16%
👍
6
0.998%
💩
5
0.832%
😡
5
0.832%
👎
3
0.499%
🎉
1
0.166%
🤡
1
0.166%
🤣
1
0.166%
🥰
1
0.166%
🥱
1
0.166%
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 49 of the 49 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 601 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 21 July 2026 to 4 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 20 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).
Il 6 novembre si boicotta Conad: aggiornamenti dagli Orti Urbani e Bosco Ospizio
Dopo anni di lotte in difesa del verde urbano, durante quest’estate infernale ben due casi di resistenza dal basso a progetti di cementificazione imposti sono riusciti ad acquistare rilevanza nazionale: parliamo di Bosco Ospizio a Reggio Emilia e degli Orti Urbani a Livorno (abbiamo approfondito qui e qui).
La solidarietà è arrivata da…
Madrid, 400 agenti sgomberano l’Acampada per la casa. La protesta continua
Dopo 35 giorni di occupazione, la polizia interviene di notte a Puerta del Sol: due arresti e denunce di violenze.
da Osservatoriorepressione
Centinaia di persone, molte senza dimora, allontanate dalla piazza. Il movimento 26S rilancia la mobilitazione verso lo sciopero dell’11 novembre.
Alle tre del mattino di martedì 3 novembre, quattroc…
Negli Usa urne aperte per il midterm ma per Trump le elezioni sono già “truccate”. Intervista a Fabrizio Tonello sui possibili scenari
Negli Usa sono aperti i primi seggi per le elezioni di Midterm. Si vota per rinnovare il Congresso, ora in mano a una maggioranza repubblicana. In palio ci sono tutti i 435 seggi della Camera, 35 dei 100 del Senato e 36 governatori su 50.
da Radio Onda d’urto
Si vota anche per nume…
Trappes: l’indifferenza del governo per le vittime del razzismo
Abbiamo tradotto questo contributo di ContreAttaquein merito all’attentato razzista avvenuto a Trappes, piccola città a sud ovest di Parigi, qualche settimana fa. Ignorato dai media e dalla dimensione istituzionale a riprova di una struttura sociale profondamente razzista e classista.
Si chiama Ramatou e ha solo 11 anni. La bambina stava tornando dalla…
In Portogallo manifestazioni ogni settimana. Violento sgombero nel weekend delle “acampade” a Lisbona e Porto, oltre 100 feriti
In Portogallo, ennesimo violento sgombero di polizia contro le “acampade” per la casa di Porto e Lisbona.
da Radio Onda d’Urto
I movimenti per la casa e contro il carovita sono tornati a riempire le strade portoghesi nel pomeriggio di sabato 31 ottobre. Due i cortei principali, a Lisbona …
Trino Vercellese: un caso simbolo del tandem data center, nucleare e bolla speculativa
Riportiamo parte degli interventi della serata informativa organizzata da Legambiente del Vercellese e della Valsesia – gruppo di Trino il 16 ottobre 2026 a Trino alla quale abbiamo partecipato, in modo da fissare alcuni concetti chiave nell’approcciarsi a questo terreno.
I PARTE Domanda energetica fuori dalla realtà
1.1 Dal rea…
La Gen Z tedesca si unisce alle danze?
La mobilitazione che come un fuoco di prateria sta incendiando l’Europa arriva anche in Germania: sabato 31 ottobre, il giorno dopo le gigantesche manifestazioni che in Italia hanno portato in piazza quasi 1 milione di persone, e mentre continuano gli scontri davanti ai palazzi del potere in Albania e le manifestazioni dell’«Atto III» in Francia,…
https://infoaut.org/bisogni/l…
100 mila in piazza solo a Torino
Ripubblichiamo il comunicato di Torino è contro il riarmo.
Anche in occasione dello sciopero generale, chiamato grazie all’Unione Sindacale di Base, Torino ha saputo dare un segnale forte.
Tutta la città bloccata, dal centro – così tanto al centro del dibattito pubblico in quanto rappresentazione della città vetrina da preservare – sino all’imbocco della tangenziale…
https://infoa…
Pisa: Rivendicazioni della Sapienza Occupata. “Noi la guerra non la paghiamo”
Ripubblichiamo il comunicato del Collettivo Universitario Autonomo di Pisa in merito alle rivendicazioni dell’occupazione avvenuta a conclusione del corteo del 30 ottobre in occasione dello sciopero generale.
Ieri 30 ottobre 2026 siamo scese in piazza per lo sciopero generale chiamato da USB e molti sindacati di base, uno sciopero interna…
Abbiamo la ragione e la forza
Un contributo del Collettivo Giovani No Tav pubblicato su Notav.info
Nella giornata di ieri, 30 ottobre, abbiamo partecipato allo sciopero generale che ha coinvolto moltissime città in tutta Italia. Come ha ricordato in piazza Nicoletta Dosio, intervenendo a chiusura della manifestazione che ha occupato l’ingresso della tangenziale e dell’autostrada, il valore di queste mobilitazioni a…
Prendiamoci il futuro
Oltre 10mila persone sono scese in piazza a Livorno in occasione dello sciopero generale e dello sciopero internazionale dei porti contro carovita, guerra e riarmo. Oltre un milioni di persone scese in piazza in tutta Italia.
da Scrivania Autogestita di Informazione – Livorno
Oltre 10mila persone sono scese in piazza a Livorno nella giornata di…
https://infoaut.org/bisogni/prendiamoci-il-fut…
Sciopero generale: l’Italia si blocca
Giornata di sciopero generale: numeri ancor più massicci delle prime manifestazioni dell’autunno scorso. Blocchi in tutta Italia e cortei da decine di migliaia di persone, dalle metropoli alle province.
Contro la guerra, contro il carovita, contro il riarmo voluto dal governo Meloni. E ancora, contro una vita precaria e indignitosa, per dire basta ai sacrifici…
https://infoaut…
❤10🔥8
Showing the 12 most recent of 49 posts we hold for @infoaut_org. 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 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.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“InfoAut” (@infoaut_org), 5,799 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/infoaut_org.
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.