Other / unclassifiable — 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 98% 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
58 measurements spanning 93 days, net -530. 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 16,556–17,245 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
7 Nov 2026, 00:20
16,635
-8
6 Nov 2026, 03:39
16,643
-15
4 Nov 2026, 23:46
16,658
-19
4 Nov 2026, 02:19
16,677
-4
3 Nov 2026, 00:16
16,681
-6
2 Nov 2026, 02:08
16,687
-14
1 Nov 2026, 01:36
16,701
-5
31 Oct 2026, 04:38
16,706
-4
30 Oct 2026, 06:19
16,710
-13
29 Oct 2026, 04:28
16,723
-19
28 Oct 2026, 04:00
16,742
-7
27 Oct 2026, 00:20
16,749
-1
26 Oct 2026, 02:46
16,750
-12
25 Oct 2026, 01:57
16,762
+3
24 Oct 2026, 04:29
16,759
-7
23 Oct 2026, 02:41
16,766
-8
22 Oct 2026, 01:35
16,774
-5
20 Oct 2026, 23:28
16,779
-11
19 Oct 2026, 19:29
16,790
-4
18 Oct 2026, 20:28
16,794
first reading
Engagement
43 posts held, back to 6 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
26.2%
avg views ÷ 16,635 subscribers
Avg views / post
4,360
15 posts measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
16
of 43 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 5 November 2026
Posts held
43 (6 February 2026 – 5 November 2026)
Views total
65,470
Reactions total
1,799
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 16:39 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
Photos
≈876
Videos
≈374
Links
≈1,370
Lifetime counters from Telegram’s own channel header, read 7 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
1h 56m
Average length
5m 32s
Measured directly from 21 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
6,203 reactions across 42 posts, in 37 distinct kinds. The most used accounts for 52.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,226
52.0%
👍
1,684
27.1%
🙏
499
8.04%
👏
199
3.21%
🤣
118
1.90%
😁
105
1.69%
💯
95
1.53%
🥰
94
1.52%
🔥
34
0.548%
❤🔥
20
0.322%
🕊
16
0.258%
🤝
15
0.242%
🎉
12
0.193%
🤡
11
0.177%
👌
10
0.161%
🥱
8
0.129%
🤔
7
0.113%
😢
6
0.097%
🤓
6
0.097%
🤷♂
6
0.097%
17 further kinds
32
0.516%
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 42 of the 43 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 6,203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 6 February 2026 to 5 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: 2 of 16 posts held from the last 30 days (12.5%) 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).
Dans la suite logique du post précédent, et pour préparer le sujet de la prochaine vidéo YouTube 🤓
Pour avoir des esclaves dociles, il faut les inciter à faire l’opposé de ces conseils.
Tout cela a été un long chemin pour moi !
La dernière est C.R.U.C.I.A.L.E. et pourtant, on en parle encore trop peu ! 👀
✨ Dis-moi, lequel as-tu le plus besoin de mettre en pratique aujourd’hui ?
💕 Et souvent encore plus important,…
Prendre soin de soi, c’est aussi prendre soin de son apparence 🤎
Pendant longtemps, je me suis retenue d’exprimer pleinement mon style, comme si aimer les belles choses et soigner mon apparence était forcément superficiel.
Aujourd’hui, j’ai envie d’assumer toutes les facettes de ma personnalité. Et ça passe aussi par le plaisir de m’habiller comme j’en ai envie, avec cette petite touche d’élégance que j’aime tant.
…
Une de mes dernières traductions en collaboration avec Essentiel News : Sasha Latypova, témoin du procès de Leeuwarden.
• La réelle arme biologique n'est pas le covid, mais les injections ARNm.
• Nous n'avons aucun moyen de savoir réellement comment elles ont été fabriquées ni d'où viennent les produits.
• Le récit du virus tueur à gain de fonction est une fable qui n'a jamais été prouvée scientifiquement.
• Toutes …
Bon la vidéo ne passe pas sur Telegram, ça fait 10 fois que j’essaye de la poster 😵💫
👉🏻 Rendez-vous sur YouTube : https://youtube.com/shorts/ZjfuPPanB2U?is=8_YLOotS2Gl-qgcx
Petite mise à niveau du fond des vidéos, c’était nécessaire parce que le mur blanc c’était franchement low quality 😂
Rendez-vous ce soir pour un petit short et la semaine prochaine pour une longue vidéo 💕🌸
PART 2/3 | Ces violences qu’on a appris à trouver normales
Qui a déjà rigolé à une « blague » horrible pour ne pas perdre la face ? Levez la main 🙋🙋🙋🙋🙋
On finit par trouver ça normal, rire avec ceux qui nous humilient et même le reproduire sur les autres.
En toile de fond, ça façonne notre vie, sans qu’on s’en rende compte.
♥️
PART 1/3 | Ces violences qu’on a appris à trouver normales
La violence ordinaire n’a rien de spectaculaire et elle est parfois insidieuse et permanente.
Elle peut se cacher dans un comportement qu’on a appris à accepter, à excuser et même à considérer comme une preuve d’amour.
- Un parent qui nous compare et nous rabaisse devant les autres : « c’est pour rire »
- Un partenaire qui critique notre apparences ou nos …
Beaucoup de réactions sur les diverses plateformes après cette courte vidéo, ce qui prouve l’importance d’en parler ! Je partage d’autres réflexions sur Instagram en story à ce sujet (https://www.instagram.com/jeanne_lifecultivation?srtk=MXFybzFlanJpcDhydg%3D%3D&utm_source=qr).
Combien d’entre nous portent aujourd’hui encore les stigmates de la violence ordinaire ? Combien d’entre nous s’empêchent d’entreprendre ou …
Vu que c’est la mode de tirer sur les enfants depuis quelques semaines, ça m’a fait remonter quelques souvenirs 🥲
Intéressant comment on entend régulièrement les anciennes générations dire qu’il n’y a plus aucun respect ni aucune éducation chez les jeunes d’aujourd’hui, j’aimerais leur poser une question : qui a élevé cette nouvelle génération, si ce n’est vous ?
D’après ce qu’on dit on reconnaît un arbre à ses fru…
Demain, le 22 Octobre se tiendra un procès historique à Leeuwarden, Pays Bas.
Pour la première fois depuis le début du Covid, un avocat a réussi à aligner sur le banc des accusés Bill Gates, Mark Rutte, Albert Bourla ainsi que d’autres figures du monde médiatique.
Sans se faire d’illusions sur l’issue de ce procès, partagez en masse, car c’est le seul moyen d’exposer ce qui s’est réellement passé : un crime mondial…
❤103🙏58👍21👏7
Showing the 12 most recent of 43 posts we hold for @jeannetraduction. 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 6 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.
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.
“Jeanne Traduction” (@jeannetraduction), 16,635 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/jeannetraduction.
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.