Telegram RegisterThe public register of Telegram

Channel

Islam Authentique

@islamAuthentique

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

4,538subscribers

-12 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-1001078546008
TypeChannel
Username@islamAuthentique
Descriptionباسم الله ( بسم الله الرحمن الرحيم ) L'islam authentique le Qour'ên et la Sounna selon la compréhension des pieux prédècesseurs📎Une chaîne francophone officielle de"rassayil_ itiba3_ sunna_ fi_ Zaman_ alghourba linktr.ee/islam_authentique
Created18 September 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/islamAuthentique

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, 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.

Growth

4,5384,5504,5446 August 2026 — 4,550 subscribers6 August 2026 — 4,550 subscribers6 August 2026 — 4,549 subscribers9 August 2026 — 4,538 subscribers6 August 20269 August 2026
4 measurements spanning 3 days, net -12. 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 4,536–4,552 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 11:324,538-11
6 Aug 2026, 08:404,549-1
6 Aug 2026, 04:024,550no change
6 Aug 2026, 00:504,550first reading

Engagement

30 posts held, back to 16 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.28%
avg views ÷ 4,538 subscribers
Avg views / post
285
30 posts measured
Reaction rate
0.992%
reactions ÷ views · ER floor
Posts in window
30
of 30 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 13 of 30 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held30 (16 July 202611 August 2026)
Views total8,544
Reactions total46
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 07:00 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
2,910
Videos
405
Links
2,350

Lifetime counters from Telegram’s own channel header, read 12 August 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
15m 27s
Average length
3m 52s

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.

Reaction mix

45 reactions across 12 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍45100.0%

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 13 of the 30 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 46reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 16 July 2026 to 11 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.

Recent posts

11 Aug 2026, 12:48 UTC148 viewsread 12 August 2026
Forwarded from @alwadeia1Photo

Photo, posted without a caption

11 Aug 2026, 09:12 UTC190 views2 reactionsread 12 August 2026

La prière de l’éclipse: 🌖🌗🌘🌑 Sa description : Il ( le Prophète ﷺ ) y prie deux unité dans lesquelles il récite à voix haute d'après l'avis le plus juste des gens de science Dans la 1ère unité, il y récite sourate El Fâtihah ainsi qu'une longue sourate comme El Baqara ou une sourate équivalente. Ensuite il s'incline longuement et se redresse de l'inclinaison et dit une fois qu'il s'est remis debout: Sami3aLLAHOU l

👍2

9 Aug 2026, 10:50 UTC187 viewsread 12 August 2026
Forwarded from @scienceetpratique

La décortication ou déconstruction morpho-sémantique La déconstruction morpho-sémantique : quelle fascinante opération ! Une véritable machine de guerre intellectuelle et linguistique ! Il s’agit à la fois d’un concept descriptif et opératoire. Elle permet d’atteindre et de toucher l’essence même du mot ; au point que tu le voie se tenir debout devant toi, le regard fixe, empreint de déférence... Et le voilà qu

8 Aug 2026, 14:53 UTC37 viewsread 8 August 2026
Forwarded from @cheikhIbrahimm

https://t.me/mohaymid?livestream

8 Aug 2026, 14:18 UTC43 viewsread 8 August 2026
Forwarded from @scienceetpratique

التفكيك الصرفي الدلالي... La décortication ou déconstruction morpho-sémantique. التفكيك الصرفي الدلالي تفكيك عجيب! هو آلة حرب فكرية ولغوية بحق! وهو مصطلح وصفي وعملياتي في الوقت نفسه: Concept descriptif et opératoire. فتتوصل به إلى لمس ماهية الكلمة؛ حتى وكأنك تراها تقف أمامك شاخصة ببصرها إليك بإجلال... فإذا بها تغرف لك بخباياها بما تخفي في زواياها... ومثاله في العقيدة؛ تفكيك لفظ: Repose-pied(s). مسند الرَّجُلِ

7 Aug 2026, 16:21 UTC255 views5 reactionsread 12 August 2026
Forwarded from @alwadeia1Photo

Photo, posted without a caption

👍5

7 Aug 2026, 11:56 UTC237 viewsread 12 August 2026
Forwarded from @scienceetpratique

لا إتقان في الترجمة بعيدا عن إتقان اللسانيات * تُعتبر اللسانياتُ الركيزةَ الأساسية لـ "علم الترجمة" (الترجمية)، كونها أصولاً نظرية، أو علماً قائماً بذاته، لا يستغنى عنه لضبط عملية الترجمة تطبيقا. وهي، اللسانيات، بفروعها ومجالاتها المتعددة، لا تفترُ عن إثراء هذا العلم الحديث ومدّه بأسباب النمو والارتقاء. وقد لفت اللسانيون الغربيون الأنظار مبكراً إلى أن العمل الترجمي -كونه اشتغالاً بالدرجة الأولى على اللسان واللغات-

7 Aug 2026, 11:56 UTC208 viewsread 12 August 2026
Forwarded from @scienceetpratique

La linguistique est le soubassement de la traductologie, théorie ou science de la traduction. Avec ses différentes disciplines, elle n’a de cesse d’enrichir et d’aider à grandir cette science assez récente qu’est la traductologie. Les linguistes ont très tôt attiré l’attention sur le fait que la traduction, étant un travail sur la/les langue-s, la nécessité de l’attacher à la science qui étudie la langue (la linguist

5 Aug 2026, 19:11 UTC285 views3 reactionsread 12 August 2026

Traduction. Il demande notre Cheikh, qu'Allâh vous comble de bienfaits, le fait d'aimer un mécréant en raison de son caractère, de la qualité de son jeu ou de l'excellence de ses inventions entre-t-il dans l'alliance interdite envers les mécréants ? Réponse : Sans aucun doute, puisque le mécréant est un ennemi d'Allâh, puisque le mécréant est un ennemi d'Allâh, Ce sur quoi pourrais-je trouver certaines de ses qua

👍3

Showing the 12 most recent of 30 posts we hold for @islamAuthentique. 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.

Citation-graph rank

Citation-graph rank — 286,253 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Islam Authentique” (@islamAuthentique), 4,538 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/islamAuthentique.

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.