Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 39% 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
33 measurements spanning 43 days, net -2,367. 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 121,859–124,936 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 02:55
122,214
-104
15 Sept 2026, 19:38
122,318
-105
14 Sept 2026, 06:00
122,423
-107
12 Sept 2026, 13:39
122,530
-126
10 Sept 2026, 10:17
122,656
-333
7 Sept 2026, 05:00
122,989
-141
4 Sept 2026, 09:18
123,130
-50
2 Sept 2026, 19:58
123,180
-47
1 Sept 2026, 16:13
123,227
-64
31 Aug 2026, 13:13
123,291
-57
30 Aug 2026, 12:26
123,348
-42
29 Aug 2026, 13:52
123,390
-50
28 Aug 2026, 14:17
123,440
-44
27 Aug 2026, 13:48
123,484
-40
26 Aug 2026, 16:35
123,524
-51
25 Aug 2026, 19:32
123,575
-63
24 Aug 2026, 19:07
123,638
-93
23 Aug 2026, 00:59
123,731
-88
21 Aug 2026, 14:15
123,819
-51
20 Aug 2026, 15:22
123,870
first reading
Engagement
21 posts held, back to 16 February 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 98 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.0%
avg views ÷ 122,214 subscribers
Avg views / post
28,100
1 post measured
Reaction rate
4.44%
reactions ÷ views · ER floor
Posts in window
1
of 21 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 9 September 2026
Posts held
21 (16 February 2026 – 9 September 2026)
Views total
28,100
Reactions total
1,248
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 21:05 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
Photos
≈14,600
Videos
≈9,770
Links
≈10,700
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 25s
Average length
1m 25s
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
24,995 reactions across 21 posts, in 13 distinct kinds. The most used accounts for 54.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
13,682
54.7%
❤
4,049
16.2%
🤬
2,291
9.17%
🔥
1,487
5.95%
🤔
1,182
4.73%
🙏
993
3.97%
👏
572
2.29%
👎
281
1.12%
🍾
146
0.584%
👌
126
0.504%
😱
123
0.492%
😢
48
0.192%
🥰
15
0.06%
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 21 of the 21 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 24,995 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 16 February 2026 to 9 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.
Mon compte VK, que je n'utilise plus depuis janvier 2025 vient d'être piraté. Vous pouvez le signaler à la plateforme si vous y êtes, car celle-ci me répond que je dois attendre 24h... Et je ne suis pas certain que cela changera quelque chose.
Si quelque chose est publié cela ne viendra pas de moi.
Merci.
Nos dirigeants parlent de traquer les patients qui fraudent l'Assurance Maladie.... Euh, en ne prenant que les chiffres officiels de la CNAM, on a cela :
Fraudes commises par les assurés (patients) → 16 % des montants (environ 115 M€), même si ça représente plus de la moitié des dossiers (53 % des cas, souvent des petites fraudes).
Fraudes par les professionnels de santé libéraux (médecins, centres de santé, audiop…
3/3 Le rapport de Pfizer sur la commercialisation du médicament faisait état de plus de 200 décès suspects survenus seulement deux mois après son autorisation de mise sur le marché. « Comirnaty aurait dû être retiré du marché à ce moment-là », a déclaré le Dr Sterz.
Le Dr Sterz a également déclaré que le SARS-CoV-2 ne constituait pas une épidémie mortelle et que ses symptômes grippaux ne mettaient pas la vie en dan…
2/3 l a déclaré : « Le risque cancérogène n’a pas été étudié faute de temps. Par ailleurs, je trouve très préoccupant et regrettable qu’aucune autre investigation n’ait été menée. »
« Nous constatons en Allemagne, mais aussi dans de nombreux autres pays, que le taux de natalité s'est effondré après la campagne de vaccination. »
L'Institut Robert Koch (RKI) (Souvenez-vous des #RKIFiles), l'autorité de santé publique…
1/3 C'est étrange que les médias puissent inviter des petits médecins n'ayant jamais rien publié, fait aucune recherche sur leurs plateaux TV mais ne s'intéressent nullement à ce que dit un ex-toxicologue de Pfizer ....
L'ancien toxicologue en chef de Pfizer a déclaré que des tests de sécurité essentiels n'avaient pas été effectués avant le déploiement de leur vaccin contre la Covid-19 à des milliards de personnes e…
N'oubliez jamais qu'il manquait 2 000 milliards de dollars dans le budget Pentagone et qu'Al-Qaïda a envoyé un avion s'écraser sur le site contenant tous les documents financiers ? C'était génial.
Aucun pilote au monde, y compris les meilleurs, n'a réussi à ce jour à répéter ce que les apprentis pilotes de Cessna (petits avions), auraient réussi à faire, c'est à dire faire écraser un avion de ligne à 900 km/h au niv…
4/4 4. Une protection cosmique et des implications plus larges ?
La Lune sert de "bouclier" partiel contre les astéroïdes, en déviant ou absorbant des impacts qui pourraient causer des extinctions massives (bien que Jupiter soit le vrai géant protecteur du système solaire).
Sans elle, la Terre pourrait ressembler à Vénus (axe instable, effet de serre runaway) ou Mars (froid, sec, sans océans dynamiques).
👍763❤195🙏56🤔47👏29👎15🍾10🥰4
Signed Silvano Trotta
Showing the 12 most recent of 21 posts we hold for @trottasilvano. 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 4 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Michel Dogna Officiel @micheldognaofficiel · 22,143 Telegram ranks this channel #1 of 75 here — alongside 74 others — read 21 September 2026
Valérie Bugault officiel ⚖️ @valeriebugault · 22,723 Telegram ranks this channel #1 of 82 here — alongside 81 others — read 20 September 2026
Chloé F - canal info officiel @chloefinfosofficiel · 23,223 Telegram ranks this channel #1 of 82 here — alongside 81 others — read 19 September 2026
Hakouna @hakouna007 · 23,315 Telegram ranks this channel #1 of 74 here — alongside 73 others — read 18 September 2026
𝕷𝖊 𝕮𝖔𝖒𝖕𝖑𝖔𝖙 𝖉𝖚 𝕹𝖔𝖚𝖛𝖊𝖑 𝕺𝖗𝖉𝖗𝖊 𝕸𝖔𝖓𝖉𝖎𝖆𝖑 @complotdunouvelordremondial · 23,378 Telegram ranks this channel #1 of 72 here — alongside 71 others — read 18 September 2026
Les Patriotes 🇫🇷 @les_patriotes · 23,673 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 17 September 2026
La Nouvelle France 🇫🇷 @la_nouvelle_france · 24,655 Telegram ranks this channel #1 of 71 here — alongside 70 others — read 15 September 2026
🎙 ALEXIS POULIN 🎙 @alexis_poulin · 25,152 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 14 September 2026
RGNR - Nous c’est la Vie ! @rgnr_fr · 39,511 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 13 September 2026
Infos citoyennes @LaVeriteCensureeoff · 28,472 Telegram ranks this channel #1 of 72 here — alongside 71 others — read 9 September 2026
KOMPЯOMAT @kompromatmedia_2 · 31,321 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 6 September 2026
Quoi2news 👀 @quoi2news · 31,496 Telegram ranks this channel #1 of 73 here — alongside 72 others — read 5 September 2026
Momotchi @momotchiii · 35,120 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 2 September 2026
Alexandra Henrion Caude️️️ ️️ @alexandrahenrioncaude · 39,324 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 30 August 2026
LLP LeLibrePenseur.org @Salim_Laibi_LLP · 40,241 Telegram ranks this channel #1 of 74 here — alongside 73 others — read 30 August 2026
Radio-Québec @radio_quebec · 41,932 Telegram ranks this channel #1 of 82 here — alongside 81 others — read 29 August 2026
Black Bond PTV ⚔️🦅😇 @StoryOfBlackBond · 44,796 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 28 August 2026
Aubontouitefrancais @aubontouite_francais · 47,770 Telegram ranks this channel #1 of 82 here — alongside 81 others — read 26 August 2026
▼ Le Grand Réveil / Liberta Press @LeGrandReveil · 63,044 Telegram ranks this channel #1 of 82 here — alongside 81 others — read 21 August 2026
La Vérité Diffusée @VeriteDiffusee · 74,131 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 19 August 2026
Rester libre ! @resterlibre · 26,627 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 12 September 2026
L’éveil 2022 @leveil2022 · 35,630 Telegram ranks this channel #3 of 69 here — alongside 68 others — read 2 September 2026
SNP-INTEL @snp_intel · 104,535 Telegram ranks this channel #4 of 49 here — alongside 48 others — read 21 August 2026
⬛️La Zone Tv🟥Lazone interdite la zone interdite @lazoneinterdite_off · 36,326 Telegram ranks this channel #6 of 39 here — alongside 38 others — read 1 September 2026
This channel appears in 52 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Silvano Trotta Officiel” (@trottasilvano), 122,214 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/trottasilvano.
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.