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 10 August 2026 and assigned it the closest of 31 fixed categories, at 49% 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.
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 in near-verbatim form on 2 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (2 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 39 comparable posts for this entry, running 29 May 2025 to 10 November 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).
Of the group of 3 channels, the one whose matching posts we hold earliest is @unNotreMonde. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 12 November 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.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
60 measurements spanning 97 days, net -345. 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 12,480–12,929 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
11 Nov 2026, 16:11
12,532
-8
9 Nov 2026, 23:38
12,540
-2
8 Nov 2026, 13:07
12,542
-6
7 Nov 2026, 08:31
12,548
-5
6 Nov 2026, 09:47
12,553
-3
3 Nov 2026, 10:48
12,556
-3
2 Nov 2026, 11:35
12,559
-3
1 Nov 2026, 09:35
12,562
-4
31 Oct 2026, 06:45
12,566
-8
30 Oct 2026, 04:19
12,574
-6
29 Oct 2026, 06:18
12,580
-2
28 Oct 2026, 03:48
12,582
-5
27 Oct 2026, 02:29
12,587
+1
26 Oct 2026, 01:49
12,586
-1
25 Oct 2026, 00:44
12,587
-3
23 Oct 2026, 21:28
12,590
-2
22 Oct 2026, 23:04
12,592
-10
21 Oct 2026, 18:21
12,602
-5
20 Oct 2026, 11:46
12,607
-4
19 Oct 2026, 12:00
12,611
first reading
Engagement
42 posts held, back to 29 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 68 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.6%
avg views ÷ 12,532 subscribers
Avg views / post
1,700
8 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
8
of 42 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 10 November 2026
Posts held
42 (29 May 2025 – 10 November 2026)
Views total
13,625
Reactions total
137
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 20:46 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
Photos
≈971
Videos
≈539
Links
≈2,010
Lifetime counters from Telegram’s own channel header, read 12 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
23m 11s
Average length
1m 22s
Measured directly from 17 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
1,254 reactions across 41 posts, in 15 distinct kinds. The most used accounts for 36.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
462
36.8%
👍
355
28.3%
👏
261
20.8%
🔥
60
4.78%
🙏
45
3.59%
🥰
29
2.31%
💯
20
1.59%
😍
6
0.478%
🤩
5
0.399%
🕊
3
0.239%
👌
2
0.159%
😈
2
0.159%
🤗
2
0.159%
👎
1
0.08%
😇
1
0.08%
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 41 of the 42 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 1,254 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 29 May 2025 to 10 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: 0 of 8 posts held from the last 30 days (0%) 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).
𝗛𝗼𝗹𝗶𝘁𝗶𝗺𝗲, 𝗹𝗮 𝗯𝗮𝗻𝗱𝗲-𝗮𝗻𝗻𝗼𝗻𝗰𝗲 : 𝗹𝗲 𝗠𝗲́𝗱𝗶𝗮, 𝗹𝗮 𝗱𝗲́𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝗲 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝘃𝗲 𝗲𝘁 𝗹𝗲𝘀 𝗴𝗿𝗮𝗶𝗻𝗲𝘀 𝗮𝗿𝗿𝗶𝘃𝗲𝗻𝘁 𝗯𝗶𝗲𝗻𝘁𝗼̂𝘁
Depuis le départ, nous vous l'avions annoncé : une plateforme pour vous rendre autonome en santé.
Holitime Média : des articles et des vidéos pour avancer vers l'autonomie en santé. Et si vous en avez besoin, un praticien vous accompagne.
La première démocratie participative en ligne : les membres proposent, voten…
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Et si on apprenait à construire nous-mêmes des maisons saines, avec des matériaux qu’on trouve près de chez soi ?
J’accueille Gurun Manrot, créateur de la paillourte. On partira de …
𝟵𝟰𝟳 𝗽𝗵𝗿𝗮𝘀𝗲𝘀 𝗶𝗻𝘁𝗲𝗿𝗱𝗶𝘁𝗲𝘀 : 𝘀𝗲 𝘁𝗮𝗶𝗿𝗲 ? 𝗡𝗼𝗻, 𝗰𝗵𝗼𝗶𝘀𝗶𝗿 𝘀𝗲𝘀 𝗺𝗼𝘁𝘀
La répression des fraudes vient d'infliger 50 191 € d'amende à Onatera, pour 947 phrases interdites sur 201 produits. Leur tort : avoir dit qu'un produit pouvait prévenir, traiter ou guérir.
On est de tout cœur avec Onatera, big up à eux !
Faut-il se taire pour autant ? Non : la loi fixe certains mots, pas ce que l'on a à dire.
Nous préparons Holitime Médi…
Ouraya veut dire liberté. Le mot vient de l’arabe ḥurriyya : la liberté qu’on exerce, pas celle qu’on réclame.
Ouraya, c’est le collectif qui fabrique des outils pour s’organiser. Des outils qui vous appartiennent, et des données qui restent les vôtres.
Son nouvel outil s’attaque à ce que tous les admins connaissent : la communauté qui se noie sous le bruit. Messages en chinois, faux virements PayPal, vendeurs de c…
𝗤𝘂𝗶 𝗱𝗲́𝗰𝗶𝗱𝗲 𝗱𝗲 𝗰𝗲 𝗾𝘂𝗶 𝗲𝘀𝘁 𝘃𝗿𝗮𝗶 ? 𝗛𝗼𝗹𝗶𝘁𝗶𝗺𝗲 𝗠𝗲́𝗱𝗶𝗮 𝗲𝘁 𝗹'𝗼𝘂𝘁𝗶𝗹 𝗜𝗱𝗲́𝗲𝘀
Le 21 octobre, le ministère de la Santé a lancé un observatoire de la désinformation en santé. Lutter contre les fausses informations est utile. Mais qui décide de ce qui est vrai ?
Chez Holitime, nous sommes contre toute forme de ministère de la vérité. Nous croyons à la démocratie, et à l'intelligence collective.
C'est ce que nous préparons : Hol…
𝗟'𝗵𝗶𝘀𝘁𝗼𝗶𝗿𝗲 𝗱𝗲 𝗹𝗮 𝗻𝗮𝘁𝘂𝗿𝗼𝗽𝗮𝘁𝗵𝗶𝗲, 𝗲𝗻 𝗱𝗲𝘀𝘀𝗶𝗻 𝗮𝗻𝗶𝗺𝗲́
Un verre d'eau fraîche. Des pieds nus dans la rosée. Une nuit de sommeil. Pour la naturopathie, tout part de l'hygiène de vie.
Chaque personne y est vue comme un tout : le corps, les émotions, le cadre de vie. En séance, le naturopathe vous écoute longuement, puis vous propose un plan d'hygiène de vie, pas à pas. Il ne pose pas de diagnostic et ne remplace pas votre m…
𝗟'𝗵𝗶𝘀𝘁𝗼𝗶𝗿𝗲 𝗱𝗲 𝗹𝗮 𝘀𝗼𝗽𝗵𝗿𝗼𝗹𝗼𝗴𝗶𝗲, 𝗲𝗻 𝗱𝗲𝘀𝘀𝗶𝗻 𝗮𝗻𝗶𝗺𝗲́
Les yeux se ferment. Les épaules descendent. Le souffle ralentit. Pour la sophrologie, tout commence par le corps.
Respiration, détente des muscles, mouvements lents, images mentales : des exercices courts, à refaire chez vous. En séance, vous parlez d'abord de votre objectif, puis la voix du sophrologue vous guide ; à la fin, vous décrivez ce que vous avez ressenti, s…
𝗗𝗲𝘀 𝗺𝗲́𝗱𝗲𝗰𝗶𝗻𝗲𝘀 𝗺𝗶𝗹𝗹𝗲́𝗻𝗮𝗶𝗿𝗲𝘀 𝘁𝗿𝗮𝗶𝘁𝗲́𝗲𝘀 𝗲𝗻 𝗱𝗲́𝗿𝗶𝘃𝗲𝘀 𝘀𝗲𝗰𝘁𝗮𝗶𝗿𝗲𝘀 : 𝗝𝗼𝗵𝗮𝗻𝗻 𝗙𝗮𝗸𝗿𝗮 𝗱𝗮𝗻𝘀 𝗟𝗲 𝗠𝗲́𝗱𝗶𝗮 𝗲𝗻 𝟰-𝟰-𝟮
Ayurveda, acupuncture : des médecines qui ont plusieurs milliers d'années. Et on les traite comme des dérives sectaires.
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J…
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Deux doigts posés sur un poignet. Un regard sur la langue. Une saison qui change. Pour la médecine chinoise, tout se tient.
Son histoire commence il y a plus de deux mille ans avec le Classique interne de l'Empereur jaune. Au deuxième siècle, on attribue à Hua Tuo le jeu des cinq animaux. Au seizième, Li Shizhen consacre vingt-sept ans à décrire près de deux mil…
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Pour trouver un praticien en médecines naturelles, il faut souvent connaître quelqu'un qui consulte déjà. Sans ce réseau, vous choisissez à l'aveugle.
Holitime étend ce bouche-à-oreille à tous : seul un patient venu en rendez-vous peut laisser un avis. Et le badge « Diplômes vérifiés » repose sur un contrôle réel.
Johann Fakra, cofondat…
𝗧𝗿𝗼𝘂𝘃𝗲𝘇 𝘂𝗻 𝗽𝗿𝗮𝘁𝗶𝗰𝗶𝗲𝗻 𝗾𝘂𝗶 𝗮𝗰𝗰𝗲𝗽𝘁𝗲 𝗹𝗮 𝗚̆𝟭 𝗼𝘂 𝗹𝗮 𝗰𝗿𝘆𝗽𝘁𝗼, 𝘂𝗻𝗲 𝗽𝗿𝗲𝗺𝗶𝗲̀𝗿𝗲
Vous payez en Ğ1 ou en crypto ? Une première sur les plateformes de prise de rendez-vous : sur Holitime, trouvez un praticien qui accepte la Ğ1 (June) ou la cryptomonnaie, grâce au filtre des moyens de paiement.
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𝗤𝘂𝗶 𝘀𝗼𝗺𝗺𝗲𝘀-𝗻𝗼𝘂𝘀 𝗽𝗼𝘂𝗿 𝗰𝗵𝗼𝗶𝘀𝗶𝗿 𝗮̀ 𝘃𝗼𝘁𝗿𝗲 𝗽𝗹𝗮𝗰𝗲 ? 𝗠𝗮𝘁𝘁𝗵𝗶𝗲𝘂, 𝗰𝗼𝗳𝗼𝗻𝗱𝗮𝘁𝗲𝘂𝗿 𝗱𝗲 𝗛𝗼𝗹𝗶𝘁𝗶𝗺𝗲
« Qui sommes-nous pour dire : cette pratique-là marche, celle-là non ? »
Les gens sont capables de se faire leur propre avis. Notre rôle est d'informer, pas d'imposer des choix de santé.
Matthieu, cofondateur de Holitime, dans L'entretien du soir, Géopolitique Profonde, septembre 2024.
#libertédechoix #santéintégrative #médecinesdouce…
👏11❤6🔥2
Showing the 12 most recent of 42 posts we hold for @quartierlibretv. 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 4 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Quartier libre TV” (@quartierlibretv), 12,532 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/quartierlibretv.
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.