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 11 August 2026 and assigned it the closest of 31 fixed categories, at 38% 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
4 measurements spanning 7 days, net +36. 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 5,081–5,127 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 12:38
5,122
+19
11 Aug 2026, 09:18
5,103
+14
8 Aug 2026, 08:41
5,089
+3
8 Aug 2026, 00:31
5,086
first reading
Engagement
20 posts held, back to 30 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 5 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
85.2%
avg views ÷ 5,122 subscribers
Avg views / post
4,360
8 posts measured
Reaction rate
3.33%
reactions ÷ views · ER floor
Posts in window
8
of 20 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 2 August 2026
Posts held
20 (30 June 2026 – 2 August 2026)
Views total
34,910
Reactions total
1,164
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:46 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 06m
Average length
4m 10s
Measured directly from 16 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
3,006 reactions across 20 posts, in 27 distinct kinds. The most used accounts for 59.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,773
59.0%
❤
632
21.0%
🤬
130
4.32%
👏
115
3.83%
🔥
92
3.06%
💯
61
2.03%
🤔
25
0.832%
😁
24
0.798%
🎉
22
0.732%
😢
20
0.665%
🙏
19
0.632%
😈
16
0.532%
🤮
14
0.466%
🤡
11
0.366%
🥰
10
0.333%
⚡
7
0.233%
👎
7
0.233%
💩
6
0.2%
😭
5
0.166%
😱
5
0.166%
7 further kinds
12
0.399%
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 20 of the 20 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 3,006reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 30 June 2026 to 2 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.
Ce que nous avons découvert dimanche dernier avec AuBonTouite confirme ce qu'il ne veulent surtout pas que vous appreniez...
🔴 ANNONCE SPÉCIALE : DEMANDEZ VOTRE EXEMPLAIRE DES CHRONIQUES EN MACRONIE d'AUBONTOUITE (avis des lecteurs: 4,85/5) avant lundi soir minuit dernier délai : https://boutique.tocsin-media.fr avec les lunettes orange de ralliement.
Vous pouvez commander «Mon Dieu comme je les hais » ici et les l…
« Je me suis spécialisé dans la chronologie absolue, car les historiens ont un problème : quand on remonte dans le temps, on n’a pas beaucoup de sources, et il est difficile de construire une chronologie précise. J’ai fait un doctorat sur ce sujet ; pour se mettre d’accord, les historiens n’avaient pas suffisamment d’outils, et les seuls qui donnaient des résultats étaient les archéologues avec le carbone 14, même si…
🗂️ Les Cold Case Tocsin : la disparition de Pierre Bérégovoy
« Au moment où Bérégovoy meurt, j’étais en Afrique, à Libreville, au Gabon. Dès le lundi matin, le général d’armée qui commande la police m’appelle pour me dire qu’Omar Bongo voulait me voir. »
« Il m’a dit que ce n’était pas un suicide et que Mitterrand l’avait fait tuer. Il était catégorique ! Je suis tombé à la renverse : qu’est-ce qu’on fait d’une tel…
« Dans les grandes villes de gauche ou d’extrême gauche, si le Rassemblement national n’a pas quatre personnes formées par bureau de vote, il ne pourra pas garantir la sincérité du scrutin.
Le risque de fraude est réel et, si l’écart est faible au second tour, elle peut changer le résultat. »
🗣️ Jean-Yves Le Gallou alerte sur le manque de militants formés pour surveiller les bureaux de vote lors de l’élection présid…
« Vous vous rendez compte qu’en prenant la température de vos enfants, s’ils ont 37 degrés ils vont bien, quand ils ont 39 ils vont mal. On se rend bien compte qu’on chauffe, tout le monde chauffe, car on brûle, au sens étymologique, des protons et des électrons qui viennent de l’alimentation. »
« 40% de la masse d’une cellule cardiaque, ce sont des mitochondries ! »
🗣️ Laurent Schwartz, cancérologue, revient sur l…
Mes chers amis,
Je n’ai pas eu le temps de vous écrire que nous étions 10 000 — dix mille !!! — à avoir commandé les Chroniques en Macronie d’AuBonTouite…
Nous sommes déjà 11 000.
Je n'en reviens toujours pas ! 11 000 mercis à chacun d’entre vous pour cette claque à tous ceux qui pensent que plus personne ne lit et que l’édition se meure.
ous avez jusqu’à demain soir pour que nous glissions votre exemplaire des C…
« Les parlementaires ont été fascinés par les conditions d’accès à la loi, mais ils n’ont pas regardé la procédure.
Or c’est là que se trouve le véritable problème. Un seul médecin peut décider, la procédure peut être menée en deux jours, les proches n’ont aucun droit d’être informés ni de contester la décision.
Derrière une porte d’entrée présentée comme très encadrée, il existe en réalité un véritable boulevard pou…
🎙️ « Nous sommes faits pour être des gens lumineux et souverains. Pas des gens apeurés et perdus. »
🗣️ Guy de La Fortelle a un message pour vous !
🛒 Commandez le livre d'Aubontouite et les lunettes avant vendredi sur https://boutique.tocsin-media.fr
⚠️ Attention, il ne reste que très peu d'exemplaires !
🔴 Le livre PHÉNOMÈNE d'AuBonTouite est à nouveau disponible ici : https://boutique.tocsin-media.fr avec les lunettes orange de ralliement.
Vous pouvez commander «Mon Dieu comme je les hais » ici et les lunettes d'AuBonTouite ici : https://boutique.tocsin-media.fr.
ATTENTION, la semaine dernière, les 5 000 exemplaires du premier tirage ont été épuisés en moins de 3 jours !
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⚠️ Clémence a un message pour vous !
🔔 Retrouvez nos contenus exclusifs sur la boutique Tocsin : https://boutique.tocsin-media.fr/
Le livre d'Aubontouite est disponible sur notre boutique ! Victime de son succès, un nouveau tirage exceptionnel vous permettra de vous le procurer !
🎭Comédien : désormais un métier à risque ?
« Il y a une intolérance épouvantable qui est très forte en France et qui se retrouve aussi dans d’autres pays occidentaux. Il faut vraiment réagir, même si on peut y perdre des plumes. »
« Pour moi, c’est très très clair : plus on m’attaque, plus je mords ! Je connais assez bien le monde artistique et cinématographique, donc je m’attendais à ce genre de violence. »
🗣️ Le…
« J’ai eu des discussions avec Marine Le Pen qui me reconnaissait une certaine fermeté et une certaine capacité d’analyse juridique. J’ai toujours été surpris, dans cette bataille sur les emplois du Parlement européen, de l’absence de combat sur la légitimité de ce qui lui a été fait. Elle a été très défensive dès la première instance, alors que c’est une forfaiture de la poursuivre sur cette base ! »
« Les gens en …
👍81❤21👎5💩1🤔1
Showing the 12 most recent of 20 posts we hold for @tocsin_officiel. 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.
Citation-graph rank
Citation-graph rank — 1,134,138 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@tocsin_officiel named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@lesommierrgis named in 2 posts, 8 August 2026 – 9 August 2026
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“TOCSIN OFFICIEL” (@tocsin_officiel), 5,122 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tocsin_officiel.
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.
