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 53% 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
14 measurements spanning 38 days, net +387. 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 7,697–8,262 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 15:19
8,157
-1
9 Sept 2026, 14:17
8,158
-13
4 Sept 2026, 06:56
8,171
-8
31 Aug 2026, 19:43
8,179
-1
28 Aug 2026, 23:25
8,180
-7
26 Aug 2026, 05:52
8,187
+2
22 Aug 2026, 21:08
8,185
-2
19 Aug 2026, 14:27
8,187
-8
16 Aug 2026, 20:37
8,195
-2
13 Aug 2026, 18:16
8,197
+435
10 Aug 2026, 12:36
7,762
-6
7 Aug 2026, 04:00
7,768
-2
6 Aug 2026, 10:19
7,770
no change
6 Aug 2026, 09:53
7,770
first reading
Engagement
41 posts held, back to 3 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 21 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.87%
avg views ÷ 8,157 subscribers
Avg views / post
724
17 posts measured
Reaction rate
1.94%
reactions ÷ views · ER floor
Posts in window
17
of 41 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. It is computed over the 16 of 17 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
41 (3 June 2026 – 28 August 2026)
Views total
12,301
Reactions total
226
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 18:26 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
1h 04m
Average length
2m 42s
Measured directly from 24 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
604 reactions across 38 posts, in 18 distinct kinds. The most used accounts for 21.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👏
129
21.4%
👍
127
21.0%
❤
81
13.4%
🤬
69
11.4%
🤣
58
9.60%
🔥
52
8.61%
💩
30
4.97%
😡
15
2.48%
🤡
13
2.15%
🙏
9
1.49%
😱
8
1.32%
🎉
3
0.497%
🖕
3
0.497%
💊
2
0.331%
😢
2
0.331%
🤩
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 39 of the 41 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 604 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 3 June 2026 to 28 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.
La Presidente della Commissione Europea, Ursula von der Leyen, sta promuovendo l'accesso ai finanziamenti per le imprese europee tramite l'utilizzo dei risparmi privati.
Durante la conferenza annuale "La Rencontre des Entrepreneurs de France", tenutasi a Parigi, ha evidenziato l'esigenza di canalizzare i risparmi dei privati verso le aziende europee. Ha dichiarato che numerosi progetti restano in sospeso a causa dell…
Il Prof. Giuseppe Barbaro è un medico straordinario....e non lo è per appartenenze amicali con qualche potente, anzi si è sempre speso per le cause giuste andando spesso contro la massa di colleghi ben allineati sul protocollo imposto dall'alto.
UGO MATTEI – BIOGRAFIA
Ugo Mattei, nato a Torino il 22 aprile 1961, è un giurista e accademico italiano, professore ordinario di Diritto civile presso l’Università degli Studi di Torino e Distinguished Professor of Law presso la University of California College of the Law, San Francisco (UC Law SF).
Si è laureato con lode in Giurisprudenza all’Università di Torino nel 1983, risultando primo su oltre 1.500 studenti.…
🇷🇺 ZAKHAROVA:" LA RUSSIA POTREBBE ATTACCARE QUALSIASI STRUTTURA MILITARE BRITANNICA COME RAPPRESAGLIA." LONDRA:" FATE SCORTE ACQUA E CIBO. ATTACCO RUSSO INEVITABILE."
"La Russia potrebbe attaccare qualsiasi struttura militare britannica, "all'interno o all'esterno dell'Ucraina", per rappresaglia agli attacchi ucraini sul territorio russo con armamenti forniti da Londra." Lo ha detto la portavoce del ministero degli E…
❓❓DOVE È FINITA L' AUTO AD ARIA COMPRESSA CHE FACEVA 100 KM CON 1,00 € ?
Vi ricordate l'auto ad aria compressa degli anni '90?
La mitica EOLO?
🚗💨 Quella che faceva 100 km con solo 1 euro di aria?!
Quella che dallo scarico faceva uscire aria più pulita di quella che entrava?!
🍃✨Era PRONTA.
Avevano già costruito la fabbrica a Rieti, gli operai erano pronti a produrla in massa... e poi?
IL NULLA!
Sparita nel nulla da…
ADDIO PRIMA CASA! 🏠
Tutti a Padova sabato 5 settembre ore 10.
UNIVERSITÀ PEDROCCHI COMUNE.
Sabato 12 settembre ore 10.00 TRISSINO (VI) Piazza MAZZINI 7mercato
Lunedì 14 settembre ore 21.00
TRISSINO
Piazza 25 APRILE (Comune)
CONDIVIDI GRAZIE
✔️ t.me/ilmanagerdelloro
Ma...non avevano detto che il cuginetto era sierato, quindi protetto?
Non è che anche la piccola deceduta era sierata??
Ma ancora state a sentire sta massa di manipolatori!!??
👍12🔥5💩3
Showing the 12 most recent of 41 posts we hold for @giulamaschera1. 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.
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.
La Voce Libera 🗣️🔈 @la_voce_libera · 26,820 Telegram ranks this channel #47 of 78 here — alongside 77 others — read 11 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“GIÙ LA MASCHERINA!” (@giulamaschera1), 8,157 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/giulamaschera1.
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.