Telegram RegisterThe public register of Telegram
Telegram profile photo for BonSens.org Officiel

Channel

BonSens.org Officiel

@BonSens_org

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

9,598subscribers

-158 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001567986756
TypeChannel
Username@BonSens_org
Descriptionhttps://t.me/BonSens_org Préserver le bon sens pour les générations actuelles et futures
Created9 August 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held25
Confirmed unchanged2 times, most recently 11 November 2026
On Telegramt.me/BonSens_org

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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

9,5939,7569,674.56 August 2026 — 9,756 subscribers6 August 2026 — 9,756 subscribers9 August 2026 — 9,753 subscribers12 August 2026 — 9,743 subscribers15 August 2026 — 9,744 subscribers18 August 2026 — 9,738 subscribers21 August 2026 — 9,744 subscribers24 August 2026 — 9,743 subscribers30 August 2026 — 9,742 subscribers3 September 2026 — 9,705 subscribers8 September 2026 — 9,691 subscribers12 September 2026 — 9,674 subscribers15 September 2026 — 9,670 subscribers26 September 2026 — 9,661 subscribers5 October 2026 — 9,646 subscribers11 October 2026 — 9,638 subscribers15 October 2026 — 9,633 subscribers17 October 2026 — 9,626 subscribers20 October 2026 — 9,617 subscribers23 October 2026 — 9,609 subscribers26 October 2026 — 9,605 subscribers29 October 2026 — 9,600 subscribers1 November 2026 — 9,597 subscribers4 November 2026 — 9,593 subscribers7 November 2026 — 9,598 subscribers9,5986 August 20267 November 2026
25 measurements spanning 94 days, net -158. 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 9,569–9,780 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
7 Nov 2026, 22:549,598+5
4 Nov 2026, 17:469,593-4
1 Nov 2026, 11:379,597-3
29 Oct 2026, 10:519,600-5
26 Oct 2026, 08:549,605-4
23 Oct 2026, 08:009,609-8
20 Oct 2026, 16:169,617-9
17 Oct 2026, 21:469,626-7
15 Oct 2026, 00:589,633-5
11 Oct 2026, 12:009,638-8
5 Oct 2026, 03:179,646-15
26 Sept 2026, 09:569,661-9
15 Sept 2026, 18:569,670-4
12 Sept 2026, 05:579,674-17
8 Sept 2026, 07:179,691-14
3 Sept 2026, 11:379,705-37
30 Aug 2026, 20:549,742-1
24 Aug 2026, 15:039,743-1
21 Aug 2026, 06:289,744+6
18 Aug 2026, 08:429,738first reading

Engagement

44 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 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.1%
avg views ÷ 9,598 subscribers
Avg views / post
2,310
20 posts measured
Reaction rate
2.43%
reactions ÷ views · ER floor
Posts in window
20
of 44 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 held44 (30 June 2026 – 6 November 2026)
Views total46,280
Reactions total1,124
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 12:31 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
≈1,040
Videos
≈318
Links
≈1,510

Lifetime counters from Telegram’s own channel header, read 15 November 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
18m 15s
Average length
2m 36s

Measured directly from 7 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

3,244 reactions across 44 posts, in 13 distinct kinds. The most used accounts for 48.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,55648.0%
❤47114.5%
😁34210.5%
🙏3189.80%
🤬2176.69%
👏1685.18%
🍾471.45%
😢411.26%
💯371.14%
🤔300.925%
👎120.37%
💔40.123%
🤷‍♂10.031%

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 44 of the 44 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 3,244 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 44 most recent posts we hold, published 30 June 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: 1 of 20 posts held from the last 30 days (5.00%) 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, 08:57 UTC≈1,740 views46 reactionsread 15 November 2026
Photo

✏️ Le BonSens de l'Humour #santé #tabac #addiction

👍34😁11👎1

2 Nov 2026, 13:43 UTC≈2,310 views6 reactionsread 15 November 2026
Video

📣 COMMUNIQUÉ 🔴 #2 RETOUR SUR LE LIVE 🗓️ OCTOBRE 2026 EVADERM APRÈS VACCINATION DNC 📍 Retrouvez le live complet : https://bonsens.info/le-pr-christian-perronne-accueille-helene-banoun-et-laurent-toubiana-live-bonsens-org/

👍4👏2

2 Nov 2026, 13:26 UTC≈1,840 views23 reactionsread 15 November 2026

Posted without readable text

😁15❤4👎4

31 Oct 2026, 09:37 UTC≈2,190 views79 reactionsread 15 November 2026
Photo

🧭 ARTICLE D’INFORMATION FRANCE-SOIR INFOVIGILANCE, LA LOI NEUDER UNE VÉRITÉ SOUS TUTELLE ISSUE TOUT DROIT DE LA CORRUPTION Verrouiller, encore et toujours. Hier, Yannick Neuder, député Droite républicaine et ancien ministre de la Santé, qui n'aura d'ailleurs pas laissé de traces mémorables à ce ministère, a déposé une proposition de loi qui dit combattre la désinformation dans le domaine... Mais de quelle désinform…

🤬70❤9

31 Oct 2026, 06:36 UTC≈2,070 views70 reactionsread 15 November 2026
Photo

✏️ Le BonSens de l'Humour #factchecker #debunk #conspiracywatch

😁62❤5👍3

30 Oct 2026, 18:58 UTC≈2,030 views57 reactionsread 15 November 2026
Photo

✏️ Le BonSens de l'Humour #factchecker #debunk #conspiracywatch

😁49❤5👏3

30 Oct 2026, 18:41 UTC≈1,980 views66 reactionsread 15 November 2026

🚨 Conspiracy Watch corrige sa notice erronée sur Bonsens_Org qui attribuait des propos d’un canal Telegram tiers sans lien avec l'association. Des erreurs persistant nous avons demander un droit de réponse qui a été publié. Conspiracy Watch continue néanmoins de présenter en détail le canal tiers en précisant toutefois qu’il n’a aucun lien avec l’association : à quoi sert cette juxtaposition, sinon à discréditer …

👍43🤬17❤5💔1

30 Oct 2026, 08:22 UTC≈1,960 views91 reactionsread 15 November 2026
Photo

🧭 ARTICLE D’INFORMATION FRANCE-SOIR SAUVER UNE VIE PLUTÔT QUE DÉBATTRE DU GENRE OU TRAQUER LES FAKE NEWS : l’appel des médecins face aux priorités de l’Éducation nationale Plus de six cents médecins et paramédicaux ont pris la plume dans Le Monde, le 23 octobre, pour réclamer que l'apprentissage des gestes qui sauvent devienne enfin systématique au collège et au lycée. Ils proposent de confier cette formation aux …

👍61🙏15👏8❤5💯2

27 Oct 2026, 13:45 UTC≈2,990 views45 reactionsread 15 November 2026
Video

📣 COMMUNIQUÉ 🔴 #1 RETOUR SUR LE LIVE 🗓️ OCTOBRE 2026 EVADERM APRÈS VACCINATION DNC 📍 Retrouvez le live complet : https://bonsens.info/le-pr-christian-perronne-accueille-helene-banoun-et-laurent-toubiana-live-bonsens-org/

👍40❤5

26 Oct 2026, 20:15 UTC≈2,760 views125 reactionsread 15 November 2026
Photo

🧭 ARTICLE D’INFORMATION FRANCE-SOIR LA GUINÉE-BISSAU INTERDIT UN ESSAI CLINIQUE SUR DES NOURRISSONS, LE JUGEANT "CONTRAIRE À L'ÉTHIQUE" En Guinée-Bissau, 14 000 nourrissons devaient participer à une expérimentation médicale controversée, financée en partie par les États-Unis. Le gouvernement vient d'interdire le projet pour des raisons éthiques, relançant ce faisant une question : les populations des pays en voie d…

👍93🤬18❤8👏5👎1

24 Oct 2026, 16:26 UTC≈2,960 views95 reactionsread 15 November 2026

🚨Le Conseil d’État a reconnu à @BonSens_org le droit d’intervenir pour défendre la liberté de manifester, mais le recours a été rejeté sans audience. Hier nous alertions à Rapporteuse spéciale de l’ONU Gina Romero, nous l’avons informée aujourd'hui de la décision du CE et elle nous a répondu. La liberté de manifester n’est pas un privilège syndical. Nous continuons le combat pour les libertés fondamentales de to…

👍53🙏29❤6💯4👏3

Showing the 12 most recent of 44 posts we hold for @BonSens_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

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.

RGNR - Nous c’est la Vie !
@rgnr_fr · 39,032
Telegram ranks this channel #9 of 81 here — alongside 80 others — read 13 September 2026
REINFO Officiel
@reinfocovid_officiel · 25,299
Telegram ranks this channel #10 of 82 here — alongside 81 others — read 13 September 2026
Michel Dogna Officiel
@micheldognaofficiel · 21,864
Telegram ranks this channel #14 of 75 here — alongside 74 others — read 21 September 2026
Alexandra Henrion Caude️️️ ️️
@alexandrahenrioncaude · 38,823
Telegram ranks this channel #31 of 89 here — alongside 88 others — read 30 August 2026
Jean-Dominique Michel (Officiel)
@jdmichel · 19,980
Telegram ranks this channel #62 of 87 here — alongside 86 others — read 29 September 2026

This channel appears in 5 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“BonSens.org Officiel” (@BonSens_org), 9,598 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/BonSens_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.