✌🏻 Beaucoup de NEWS en une semaine … ⏳ WORK in Progress
👍95🥰37❤24🙏15💯7⚡2🔥2

Channel
@LeCanal17
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
12,819subscribers
-650 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001701463359 |
|---|---|
| Type | Channel |
| Username | @LeCanal17 |
| Description | 🇫🇷 Leads de qualités 📰 Partages d’informations libres ⚡️ FLASH INFOS 🔍 ANALYSES 🎙️ WEB JOURNAUX 📺 DOCUMENTAIRES 🌐 Intel Military ⚠️ Attention aux arnaques, on ne vous enverra jamais de message en privé! 🇫🇷 linkbio.co/LeCanal17 🌐 |
| Created | 2 September 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 15 November 2026 |
| On Telegram | t.me/LeCanal17 |
National news — 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 72% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Nov 2026, 06:10 | 12,819 | -30 |
| 12 Nov 2026, 00:10 | 12,849 | -17 |
| 10 Nov 2026, 00:07 | 12,866 | -9 |
| 8 Nov 2026, 17:11 | 12,875 | -8 |
| 7 Nov 2026, 13:20 | 12,883 | -5 |
| 6 Nov 2026, 15:56 | 12,888 | -7 |
| 5 Nov 2026, 18:18 | 12,895 | -6 |
| 4 Nov 2026, 16:39 | 12,901 | -2 |
| 3 Nov 2026, 17:41 | 12,903 | -6 |
| 2 Nov 2026, 17:40 | 12,909 | -8 |
| 1 Nov 2026, 14:35 | 12,917 | -8 |
| 31 Oct 2026, 15:26 | 12,925 | -9 |
| 30 Oct 2026, 13:57 | 12,934 | -14 |
| 29 Oct 2026, 13:27 | 12,948 | -7 |
| 28 Oct 2026, 11:46 | 12,955 | -2 |
| 27 Oct 2026, 15:09 | 12,957 | -8 |
| 26 Oct 2026, 17:04 | 12,965 | -1 |
| 25 Oct 2026, 15:18 | 12,966 | -2 |
| 24 Oct 2026, 18:39 | 12,968 | -7 |
| 23 Oct 2026, 19:01 | 12,975 | first reading |
21 posts held, back to 15 April 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 76 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 21 posts for this entry, the most recent from 14 May 2026. An engagement rate over an empty window would be a number about nothing.
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.
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.
4,742 reactions across 21 posts, in 28 distinct kinds. The most used accounts for 30.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,442 | 30.4% | |
| 🙏 | 668 | 14.1% | |
| ❤ | 553 | 11.7% | |
| 👏 | 531 | 11.2% | |
| 🔥 | 435 | 9.17% | |
| 🎉 | 373 | 7.87% | |
| 😁 | 213 | 4.49% | |
| 🤡 | 121 | 2.55% | |
| 👌 | 83 | 1.75% | |
| 🥰 | 73 | 1.54% | |
| 💯 | 57 | 1.20% | |
| 🤔 | 47 | 0.991% | |
| 💊 | 32 | 0.675% | |
| 🍾 | 26 | 0.548% | |
| 👀 | 20 | 0.422% | |
| 🕊 | 16 | 0.337% | |
| 💩 | 11 | 0.232% | |
| 🥱 | 7 | 0.148% | |
| ⚡ | 6 | 0.127% | |
| 🤨 | 6 | 0.127% | |
| 8 further kinds | 22 | 0.464% |
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 4,742 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 15 April 2026 to 14 May 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @LeCanal17. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 21 most recent posts we hold for this entry, published 15 April 2026 to 14 May 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
✌🏻 Beaucoup de NEWS en une semaine … ⏳ WORK in Progress
👍95🥰37❤24🙏15💯7⚡2🔥2
✅🇺🇸 NEW : Kash Patel a lancé OPERATION IRON PURSUIT - 350 personnes arrêtées et plus de 200 enfants sauvés. Il s'agissait d'une opération nationale d'un mois visant à démanteler un réseau de pédophiles aux USA – les 56 bureaux de terrain du FBI ont participé. 📰 https://x.com/fbidirectorkash/status/2051744540399198216?s=46 📲 ReTWEET 🇫🇷 linkbio.co/LeCanal17 🌐
👏249❤73👍28🙏27🎉10🥰2
🇺🇸🇨🇳 PAIX & DIPLOMATIE : Trump et Xi se retrouvent à Pékin le 14 mai pour un sommet crucial. Washington recalibre le transit maritime de la Chine grâce à ses actions à Hormuz. Pékin assouplit ses conditions commerciales en retour. 📰 https://ch.zonebourse.com/actualite-bourse/pekin-bloque-les-sanctions-americaines-visant-cinq-raffineries-chinoises-ce7f58ded980f721?utm_source=perplexity 📲 ReTWEET 🇫🇷 linkbio.co/LeCa
👍122🙏35❤16🔥12👀2🤡1
🇫🇷⚠️ NEW : AFFAIRE EPSTEIN - Le Wall Street Journal rapporte que la famille Rothschild pourrait être au bord de l’extinction suite à sa mention dans les dossiers Epstein. 📰 https://www.wsj.com/finance/banking/the-rothschild-dynasty-survived-wars-and-crises-will-the-epstein-files-tear-it-apart-18735944 📰 LIRE : https://archive.is/juVfq 📲 ReTWEET 🇫🇷 linkbio.co/LeCanal17 🌐
🎉162🙏54👍20🍾18❤12🤔9🤡8😁7
🇫🇷🇷🇺 NEW : L’envoyé spécial de Poutine répond à Macron avec du Qanon. « Imaginez 🇷🇺🇺🇸🇨🇳🇪🇺🇮🇳 et d'autres pays travaillant ensemble une fois que le monde aura surmonté le virus mondialiste. NCSWIC. » - K. Dmitriev 📰 https://x.com/kadmitriev/status/2047896605479543186?s=46 📲 ReTWEET 🇫🇷 linkbio.co/LeCanal17 🌐
🙏141👏58❤36🕊7⚡4🔥4👌2🤡2
🗣️ Donc si je résume, on a l’équipe de la Maison Blanche qui le dit, l’envoyé spécial de Poutine aussi, et maintenant Macron parle comme Q : IL Y A UNE ALLIANCE ENTRE GRANDES PUISSANCES. Plus de World War, on résous les conflits, et on développe nos pays. 📲 MAQRON 🇫🇷 linkbio.co/LeCanal17 🌐
👍85🙏33❤26🎉15💯10😁8🤔5🤡5
🇫🇷 🌍 NEW : SEULS AU MONDE, LES MONDIALISTES VONT-ILS DEVENIR PATRIOTES ?! Pour Macron, nous vivons un moment historique unique : l’Europe subit une pression convergente des États-Unis 🇺🇸, de la Russie 🇷🇺 et de la Chine 🇨🇳. ▶️VIDÉO : t.me/StoryOfBlackBond/37210 📲 ReTWEET 🇫🇷 linkbio.co/LeCanal17 🌐
😁119🎉29🤡28❤14🔥7👍5🙏2👌1
💣💰NEW : Pour Kash Patel, “l’argent ne ment pas”, leur stratégie a consisté à semer la haine et à diviser durablement la société. 🗣️ « L’ONG qui était censée combattre le KKK et les néonazis finançait en réalité le KKK et les néonazis. » 📰 https://x.com/fbidirectorkash/status/2047303361930678373?s=46 📲 ReTWEET 🇫🇷 linkbio.co/LeCanal17 🌐
🔥63🥰34💊21🙏13💯11👍6❤4😈2
🔥🇺🇸 NEW : BANQUES, GALAXIE SOROS, HOLLYWOOD - Fin du narratif. L’ONG SPLC, l’organisation anti-raciste qui finançait les néo-nazis et le Ku Klux Klan, est financée par George Soros, JP Morgan ou encore George Clonney. Kash Patel ouvre l’enquête. 📰 https://x.com/nypost/status/2047091192685326459?s=46 📲 ReTWEET 🇫🇷 linkbio.co/LeCanal17 🌐
👌80👍47🔥25❤12👏10🎉7🙏7
▶️ CHANGEMENT DE RÉGIME DE LA FED : t.me/StoryOfBlackBond/37196
👍74❤17🔥11🙏7👏2
🔥🏦 NEW : APRÈS 112 ANS, LA FED EST SUR LE POINT DE "CHANGER DE RÉGIME" Kevin Warsh appelle à un changement de régime à la FED et juge les cryptomonnaies désormais incontournables dans le système financier. 📲 ReTWEET 🇫🇷 linkbio.co/LeCanal17 🌐
👏89❤15👀15🤔8👍6🤨6🔥5🎉4
💣 🇺🇸 NEW : UNE BOMBE ! L’extrême gauche américaine "anti-raciste" finance depuis des années les groupuscules NAZI et les leaders du KU KLUX KLAN. Kash Patel braque les projecteurs sur le rôle de l’ONG SPLC dans cette affaire. ▶️ VIDÉO : t.me/StoryOfBlackBond/37181 🇫🇷 linkbio.co/LeCanal17 🌐
🎉58😁42🔥35👍19❤15💊11🙏7
Showing the 12 most recent of 21 posts we hold for @LeCanal17. 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.
We recorded 5 posts on @LeCanal17 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.
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.
Named by 2 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.
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.
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.
This channel appears in 22 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 November 2026 — this entry's latest reading, not the date you are reading this.
“Le Canal 17 🇫🇷” (@LeCanal17), 12,819 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/LeCanal17.
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.