Politics & activism — 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 48% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 7 of the 7 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 26 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @babeltv. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
14 measurements spanning 44 days, net +115. 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 8,409–8,558 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 15:35
8,541
+18
15 Sept 2026, 06:16
8,523
-5
11 Sept 2026, 16:20
8,528
-7
6 Sept 2026, 18:37
8,535
+1
2 Sept 2026, 17:02
8,534
+23
30 Aug 2026, 10:04
8,511
+13
24 Aug 2026, 08:13
8,498
+13
20 Aug 2026, 09:23
8,485
+13
17 Aug 2026, 16:24
8,472
+15
14 Aug 2026, 01:05
8,457
+6
10 Aug 2026, 11:05
8,451
+20
7 Aug 2026, 17:33
8,431
+5
7 Aug 2026, 00:30
8,426
no change
7 Aug 2026, 00:22
8,426
first reading
Engagement
209 posts held, back to 5 August 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 24 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.33%
avg views ÷ 8,541 subscribers
Avg views / post
114
44 posts measured
Reaction rate
0.782%
reactions ÷ views · ER floor
Posts in window
44
of 209 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. It is computed over the 14 of 44 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
209 (5 August 2026 – 28 August 2026)
Views total
4,994
Reactions total
15
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 17:17 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
5h 52m
Average length
3m 27s
Measured directly from 102 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
127 reactions across 77 posts, in 19 distinct kinds. The most used accounts for 57.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
73
57.5%
👏
11
8.66%
🔥
11
8.66%
👍
8
6.30%
💯
5
3.94%
😁
3
2.36%
🍾
2
1.57%
😨
2
1.57%
🤮
2
1.57%
⚡
1
0.787%
👨💻
1
0.787%
🖕
1
0.787%
😍
1
0.787%
😱
1
0.787%
🙏
1
0.787%
🤔
1
0.787%
🤨
1
0.787%
🤯
1
0.787%
🥰
1
0.787%
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 80 of the 209 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 127 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 209 most recent posts we hold, published 5 August 2026 to 28 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.
Royaume-Uni : les données de 8,7 millions de voyageurs dérobées lors d'une cyberattaque
Trois aéroports britanniques gérés par Manchester Airports Group ont été visés par une cyberattaque ayant exposé les données personnelles de 8,7 millions de clients. L'incident concerne notamment des informations liées aux réservations de services aéroportuaires et aux connexions Wi-Fi, sans atteinte à la sécurité des vols ni à c…
🇧🇫 Burkina Faso : 65 000 jeunes achèvent leur immersion patriotique
La deuxième édition de l’Immersion patriotique obligatoire (IPO) s’est achevée le 27 août au Stade du 4-Août, en présence du président Ibrahim Traoré. Pendant 30 jours, 65 000 jeunes, principalement des bacheliers de la session 2026, ont suivi une formation axée sur la citoyenneté, la discipline, la solidarité et la cohésion nationale.
RT en frança…
🇷🇺 NOUVELLES DES FRAPPES
A Zaporojié, le centre commercial "Epitsentr" a été attaqué.
Ils n'avaient même pas eu le temps de déménager, comme ils l'avaient annoncé hier.
Oups trop tard !
* * * * * *
FABRICE LE FRUSKOF
🌐 t.me/lefruskof
🇩🇪 Le nombre de chômeurs en Allemagne a augmenté de 54 000 en août, atteignant 3,061 millions de personnes.
Ces données ont été publiées par l'Agence fédérale pour l'emploi de la République fédérale d'Allemagne. Par rapport à août de l'année précédente, l'indicateur a augmenté de 36 000.
Le taux de chômage a augmenté de 0,1 point de pourcentage, pour atteindre 6,5 %.
L'Allemagne traverse une crise économique prol…
⚡️🇺🇦 Les chaînes ukrainiennes rapportent que les drones russes "Geran" peuvent désormais atteindre l'ouest de l'Ukraine.
Portée : 1 000 km.
L'itinéraire est illustré dans l'animation : depuis la Crimée, en transit à travers toute l'Ukraine, jusqu'à la région de Lutsk. Le vol a duré environ 2 heures.
⚠️ Pull!
* * * * * *
FABRICE LE FRUSKOF
🌐 t.me/lefruskof
✏️Combats près de Stepnogorsk et percée à Orekhiv : analyse de Rybar✏️
Au milieu du printemps, les formations ukrainiennes ont lancé des contre-attaques localisées sur plusieurs secteurs de la direction ouest-zaporozienne. Les combats les plus intenses se sont déroulés dans les environs de Stepnogorsk, où des rapports erronés n'ont pas permis aux forces armées russes de nettoyer correctement la zone et d'établir un …
À Kiev, l’un des bâtiments de l'ancienne usine de machines "Bolchevik" s’est trouvé en feu cette nuit, selon les chaînes de télévision ukrainiennes.
🌟Abonnez-vous à Vpoutine
❗️🇬🇧 🔥 Un violent incendie s'est déclaré dans une usine de traitement des déchets ménagers près du stade de Wembley à Londres, selon les pompiers locaux.
Aucun blessé n'est à déplorer et les causes de l'incendie restent inconnues. D'après la BBC, le trafic du métro est perturbé.
🔹 t.me/RUSpresse
❗️🇺🇦☠️ La police a piégé le commandant de la brigade de bouchers Magura avec de la drogue. Ce dernier avait critiqué les forces armées ukrainiennes pour leurs lourdes pertes dans la région de Koursk.
▫️Il s'agit d'Oleksandr Shirshin. La journaliste ukrainienne Anna Kalyuzhnaya affirme que les forces de sécurité ont placé du cannabis dans sa voiture au préalable.
▫️D'après les informations publiées, un accident de l…
⚡️🇷🇺🇺🇦 🔥 Un entrepôt appartenant à la société énergétique YASNO a été incendié lors d'une attaque.
▫️Le PDG de l'entreprise ukrainienne, M. Kovalenko, a indiqué que le site attaqué contenait du matériel destiné aux centrales solaires.
▫️La majeure partie du matériel a été endommagée par l'incendie.
🔹 t.me/RUSpresse
Casse éclair en Espagne : le Trésor de Villena d'un poids de dix kilogrammes d'or dérobé en quatre minutes
Le musée espagnol MUVI a été dévalisé le 27 août. En seulement quatre minutes, les malfaiteurs ont dérobé la quasi-totalité de la collection unique, le Trésor de Villena, datant de 1250 av. J.-C., réputée pour ses bijoux en or et ses pièces forgées à partir de fer météorique, dont la valeur réelle demeure inest…
🤔1
Signed NysWeb FLIES 🪰 Web
Showing the 12 most recent of 209 posts we hold for @FaireTesRecherches. 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
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
2
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
2
vacant every time we have ever looked
@FaireTesRecherches named 2 handles 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.
@sputnik_afrique named in 7 posts, 21 August 2026 – 25 August 2026
@thibault_pepinieriste named in 1 post, 8 August 2026 – 8 August 2026
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.
Maimouna Camara (La Guepe News) @laguepequipique · 21,770 Telegram ranks this channel #7 of 67 here — alongside 66 others — read 22 September 2026
L'UNIVERS DES AMBITIEUX 🎧📖📕 @Universambitieux226212 · 23,428 Telegram ranks this channel #12 of 48 here — alongside 47 others — read 18 September 2026
L’éveil 2022 @leveil2022 · 35,630 Telegram ranks this channel #15 of 69 here — alongside 68 others — read 2 September 2026
La Nouvelle Donne 🔔 @lanouvelledonne · 22,503 Telegram ranks this channel #18 of 68 here — alongside 67 others — read 20 September 2026
Hakouna @hakouna007 · 23,315 Telegram ranks this channel #18 of 74 here — alongside 73 others — read 18 September 2026
Bouba Fané news @boubafane · 23,314 Telegram ranks this channel #19 of 65 here — alongside 64 others — read 18 September 2026
Le Citateur Méchant 👨🎓 @LeCitateurM · 25,277 Telegram ranks this channel #23 of 67 here — alongside 66 others — read 14 September 2026
Ibrahima Maiga @ibrahimamaigabf · 167,381 Telegram ranks this channel #24 of 80 here — alongside 79 others — read 14 August 2026
Hamas/Tsahal 🇺🇸🇮🇱⚡️🇮🇷 @strategie_militaire · 22,277 Telegram ranks this channel #25 of 67 here — alongside 66 others — read 21 September 2026
Stratégies Mondiales @Strategiescontinentales · 35,681 Telegram ranks this channel #27 of 73 here — alongside 72 others — read 2 September 2026
Sawadogo Souleymane Power @soul_Pow · 21,491 Telegram ranks this channel #28 of 78 here — alongside 77 others — read 23 September 2026
Le Grand Rééquilibrage @grand_reequilibrage · 41,716 Telegram ranks this channel #30 of 71 here — alongside 70 others — read 29 August 2026
Vladimir Poutine @Vpoutine · 41,785 Telegram ranks this channel #31 of 70 here — alongside 69 others — read 29 August 2026
GeoRadar @georadarinfo · 24,000 Telegram ranks this channel #32 of 71 here — alongside 70 others — read 17 September 2026
La Nouvelle France 🇫🇷 @la_nouvelle_france · 24,655 Telegram ranks this channel #32 of 71 here — alongside 70 others — read 15 September 2026
Infos citoyennes @LaVeriteCensureeoff · 28,472 Telegram ranks this channel #32 of 72 here — alongside 71 others — read 9 September 2026
FRANCE 24 @France24_fr · 50,396 Telegram ranks this channel #32 of 85 here — alongside 84 others — read 25 August 2026
La Dame de Sochi @ladamedesochi · 40,010 Telegram ranks this channel #33 of 69 here — alongside 68 others — read 30 August 2026
Info Source @ibou_sy2 · 56,495 Telegram ranks this channel #36 of 71 here — alongside 70 others — read 23 August 2026
Guerre économique! @intelligence_economique · 34,926 Telegram ranks this channel #43 of 66 here — alongside 65 others — read 2 September 2026
GEOPOL🛡ADDICT @diplomaties · 37,191 Telegram ranks this channel #44 of 66 here — alongside 65 others — read 1 September 2026
Actu Internationale 🗞 @ActuInternationale · 53,898 Telegram ranks this channel #44 of 81 here — alongside 80 others — read 24 August 2026
Que s'est-il passé? @intelligenceeconomique · 25,132 Telegram ranks this channel #48 of 69 here — alongside 68 others — read 14 September 2026
Chroniques des conflits | Russie • Ukraine • Iran • USA • Israël @chroniques_des_conflits · 35,174 Telegram ranks this channel #48 of 69 here — alongside 68 others — read 2 September 2026
This channel appears in 30 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“S'INFORMER SOIT MÊME.” (@FaireTesRecherches), 8,541 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/FaireTesRecherches.
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.