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Channel

CanaleMontesano official di Enrico Montesano

@canalemontesano

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

28,943subscribers

-615 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001419880464
TypeChannel
Username@canalemontesano
Created18 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/canalemontesano

Topic

Personal blog — 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 57% 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

28,94329,55829,250.56 August 20268 November 2026
63 measurements spanning 95 days, net -615. 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 28,851–29,650 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
8 Nov 2026, 22:4928,943-9
7 Nov 2026, 13:0628,952-10
6 Nov 2026, 09:4828,962-3
5 Nov 2026, 11:1928,965-14
4 Nov 2026, 09:2128,979-8
3 Nov 2026, 10:4028,987-7
2 Nov 2026, 12:5528,994-12
1 Nov 2026, 09:2429,006-1
31 Oct 2026, 12:1829,007-4
30 Oct 2026, 13:4629,011-3
29 Oct 2026, 16:3729,014-11
28 Oct 2026, 12:4929,025-5
27 Oct 2026, 13:4929,030-3
26 Oct 2026, 15:2829,033-3
25 Oct 2026, 17:3629,036-4
24 Oct 2026, 18:5729,040-8
23 Oct 2026, 17:3429,048-5
22 Oct 2026, 19:5829,053-13
21 Oct 2026, 19:3929,066-8
20 Oct 2026, 11:5629,074first reading

Engagement

113 posts held, back to 16 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 155 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.9%
avg views ÷ 28,943 subscribers
Avg views / post
5,470
32 posts measured
Reaction rate
2.45%
reactions ÷ views · ER floor
Posts in window
32
of 113 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
WindowRolling 30 days · latest post in window 6 November 2026
Posts held113 (16 July 2026 – 6 November 2026)
Views total175,150
Reactions total4,294
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 13:39 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
6m 13s
Average length
1m 33s

Measured directly from 4 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

14,640 reactions across 111 posts, in 44 distinct kinds. The most used accounts for 21.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,08321.1%
👏2,54817.4%
👍2,48317.0%
💩1,50010.2%
🤬1,4249.73%
🔥8846.04%
🤣5473.74%
😁2851.95%
🤮2551.74%
🙏2061.41%
😈1841.26%
💯1791.22%
⚡1691.15%
😢1491.02%
🤡1370.936%
🖕1090.745%
👎890.608%
😭810.553%
🙈800.546%
🏆330.225%
24 further kinds2151.47%

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 112 of the 113 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 14,640 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 113 most recent posts we hold, published 16 July 2026 to 6 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: 7 of 32 posts held from the last 30 days (21.9%) 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).

6 Nov 2026, 12:30 UTC≈2,150 views28 reactionsread 8 November 2026

Colta al volo sulla rete questa simpatica analisi. La condivido, anche se a distanza di giorni, e ringrazio la pagina “Fotografie Importanti”

👍26❤2

6 Nov 2026, 12:30 UTC≈2,150 views24 reactionsread 8 November 2026

https://www.facebook.com/share/p/1CQLKzbEZU/?mibextid=wwXIfr

👍18❤4😍2

5 Nov 2026, 15:15 UTC≈2,620 views38 reactionsread 8 November 2026

https://vm.tiktok.com/ZN8fNf4pg Bravooooo!!! 👏👏👏👏

👍24👏10❤4

4 Nov 2026, 15:01 UTC≈3,150 views165 reactionsread 8 November 2026
Photo

Photo, posted without a caption

👍96❤32👏23💯14

3 Nov 2026, 06:04 UTC≈4,280 views159 reactionsread 8 November 2026
Photo

Photo, posted without a caption

👏101👍45❤7💯6

2 Nov 2026, 07:48 UTC≈4,620 views43 reactionsread 8 November 2026

https://www.instagram.com/reel/DfNRc5FuDAX/?obrf=bmI1ZDNqcG4wZWFz

👍28👏11❤3🎉1

2 Nov 2026, 07:48 UTC≈4,390 views114 reactionsread 8 November 2026

Buon giorno, oggi commemoriamo i nostri cari defunti. Spegnete le zucche. Per usare la nostra invece, vi giro questo video che merita attenzione. 👇👇👇👇👇👇👇👇

👍74🙏18❤14👀5👏2🤬1

31 Oct 2026, 20:38 UTC≈4,930 views146 reactionsread 8 November 2026

https://www.secoloditalia.it/2026/10/febbre-da-cavallo-montesano-rivela-il-pomata-non-esisteva-e-su-proietti-racconta-la-verita/

❤99👏29👍14😍3😁1

31 Oct 2026, 20:38 UTC≈4,430 views42 reactionsread 8 November 2026

Una bella intervista, come un giro di pista con Soldatino! la condivido con piacere. Saluti equini. Pomata

👍29❤11😁2

30 Oct 2026, 18:52 UTC≈5,300 views395 reactionsread 8 November 2026
Photo

Ci ha ladciato un altro medico onesto e coraggioso il dottor Francesco Oliviero. Siamo costernati. Un medico che con coraggio ha apertamente difeso il diritto alla libertà di scelta ed ha espresso forti dubbi sulle decisioni prese durante il periodo della pandemenza. Ci mancherai Dott.Oliviero

❤251😢65🙏45💔22👏8👍3🤔1

29 Oct 2026, 08:41 UTC≈5,230 views477 reactionsread 8 November 2026
Photo

Oggi “Febbre da cavallo” compie 50 anni, non li dimostra affatto! Ringrazio tutti gli affezionati spettatori che lo amano e continuano a vederlo e a farlo vedere a figli e nipoti. Un Grazie “de core”! Saluti equini dar vostro Pomata!

❤330👏96👍31😁8💯7💋3👌2

28 Oct 2026, 05:11 UTC≈5,480 views328 reactionsread 8 November 2026
Photo

In-audito!

💩230🤬33🔥23😈13🤮12🤡7👏5⚡3

Showing the 12 most recent of 113 posts we hold for @canalemontesano. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @canalemontesano as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
28 August 2026
Most recent seen missing
28 August 2026
Median time before seen missing
45 hours
Seen missing in the last 30 days
0

Forward network

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

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.

Silver Nervuti
@silvernervuti · 42,247
Telegram ranks this channel #2 of 81 here — alongside 80 others — read 29 August 2026
Matteo Gracis
@matteogracis · 143,861
Telegram ranks this channel #20 of 94 here — alongside 93 others — read 17 August 2026
Luogocomune2
@luogocomune2 · 48,686
Telegram ranks this channel #39 of 91 here — alongside 90 others — read 26 August 2026
METODO DI BELLA
@METODO_DI_BELLA · 20,638
Telegram ranks this channel #49 of 83 here — alongside 82 others — read 26 September 2026
Andrea Colombini Official Channel
@andreacolombini · 82,788
Telegram ranks this channel #57 of 89 here — alongside 88 others — read 18 August 2026
Gianluigi Paragone
@gianluigi_paragone · 45,177
Telegram ranks this channel #61 of 87 here — alongside 86 others — read 27 August 2026
ZAINZ 🐺 Canale Ufficiale ZainzTv
@zainztv · 50,808
Telegram ranks this channel #70 of 89 here — alongside 88 others — read 24 August 2026

This channel appears in 7 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“CanaleMontesano official di Enrico Montesano” (@canalemontesano), 28,943 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/canalemontesano.

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.