Other / unclassifiable — 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 100% 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. None of the 3 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 10 comparable posts for this entry, running 10 March 2025 to 5 January 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 @BBlack_18. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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.
5 measurements spanning 10 days, net -6. 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 1,339–1,347 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 19:55
1,340
-1
12 Aug 2026, 09:46
1,341
-1
9 Aug 2026, 18:25
1,342
-4
6 Aug 2026, 08:02
1,346
no change
6 Aug 2026, 05:52
1,346
first reading
Engagement
20 posts held, back to 10 March 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.075%
avg views ÷ 1,340 subscribers
Avg views / post
1.0
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 20 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 6 August 2026
Posts held
20 (10 March 2025 – 6 August 2026)
Views total
1
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 08:02 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.
قبل سنة من اليوم الفيديو دا كان حديث التايم لاين..
ودا أجمل فيديو مر علي السنة الفاتت..
لمحادثة بين بت وأبوها..
بيقول ليهاا في ريكورد يا أستاذة إنتِ قايلة أبوك شغال لمنو؟
ما ليكِ إنتِ، شغال ليكِ إنتِ بس تتفسحي صاح، تلبسي صاح، تمشي أي بلد، تقري صاح، تعملي أي حاجة، طز في الناس هسي برسل لبتي القروش الله يديك العافية 💚!!
الراجل دا تقريباً هبش ناس كتيرة شديد وأنا منهم، وهو عبارة عن نسخة مصغرة عن أبهاتنا، وعن الدلال ال…
أدعوا الله دائمًا أن يكون لي نصيبٌ من الأماكن التي تُشبهُني، والأشخاص الذين ألمح فيهم شيئًا مثلي، ألا أنسى من أنا وماذا أريد في وسط حياتي المزدحمة، ألا تغيب عني الأُلفة، فأضيع وسط حيرتي، ندمي وأفكاري، وأُضطر أن أكون شخصًا لا أعرفه، أدعوه أن يهبني الحكمة وحسن التصرف، فأتعلم من اختبارات الحياة، ثم أفهم فـأُدرك، ويهديني من السُبل أحسنها، ولا يكلني إلى نفسي طرفة عين."🌸
#زكية_عاطف
📢 لو بتقضي وقتك في السوشيال ميديا... ليه ما تستفيد منو؟
فرصتك تبدأ شغل بسيط من موبايلك ومن بيتك بدون تعقيد ولا التزام دوام!
نحن في وكالة زيورخ للسفر والسياحة فاتحين باب الانضمام لمسوقين مستقلين ⬅️ لو إنت نشيط، اجتماعي، وبتعرف توصل المعلومة — مرحب بيك معانا 👋
🧭 خدماتنا متنوعة وتشمل:
> • تذاكر طيران وبواخر
> • العمرة
> • تخليص إجراءات الزيارة
> • تأشيرات دول أفريقية وغيرها
كل التفاصيل حنرفعها في القروب 👇
> ⬇️ انضم …
خد لك نظرة وصلي على النبي✨💛
اللهم صلي وسلم على نبينا محمد وعلى آله وصحبه وسلم تسليماً 🌸
لسته Caffeine ☕️ للقنوات 1k
نشر وحذف تلقائي .. زيادة مضمونة
نشر وحذف تلقائي من دون اعلانات ..
اقبل قنوات حتى 1k فقط
#تنبيه
تحذف اللستة تنحذف قناتك✋
للاشتراك باللسته
👉Mohammed Alfadil👈
@list18
https://t.me/BBlack_20
ممكن بقى تجرب تتعلم اندزاين لو حابب مش هيضرك لو منفعكش
عايز تجرب افترافيكت ياريت تحاول، بريمير بردو شغال ميضرش
خدها قاعدة البرنامج الي هتتعلمه ومش هيفيدك مش هيضرك بالعكس هيخدم عليك في شغلك بعدين
حابب اقولك ان كل دا لا يغنيك عن حاجة مهمة جداً وشايفها من اهم المهارات الي لازم تكون موجودة عند اي مصمم الي البحث
لازم تكون عارف ازاي تعمل بحث وتوصل للمعلومة الي ناقصك، مش مجرد ما تكون محتاج حاجة او مش عارف حاجة فتروح تسال …
تقريباً دا اكتر سوال بيجيلي فخلينا نلم الطريقة في بوست واحد
الي انا هقوله دا مواقع تجربتي وخبرتي مع الناس الي علمتها
وفي شوية نصائح في اخر البوست مهم تشوفهم
البوست طويل وهترجعله تاني باذن الله فاعمله حفظ (ياخوفي يكون مصيره من مصير اخواته الي في الحفظ 😂) دا غير انه باذن الله هيتم تحديثه باستمرار
خلينا نقسم الطريق لجزئين
1- الجزء الاول : دا الجزء الي انت بتبدء تتعلم فيه البرامج وتفهم هي بتشغتل ازاي وفي المرحلة الانج…
يا جماعة..
بقالي نصف ساعة بمارس انجليزي مع تطبيق ذكاء اصطناعي وحاسسني بتكلم مع شخص حقيقي!
البداية :-
1️⃣ موقع وتطبيق ELSA Speak
يديلك جٌمل ويطلب منك تنطقها .. يعرض لك عبارات مكتوبة ويطلب منك تنطقها بصوتك
تكرر التمرين إلى أن يتحسن نطقك وتتقن كل إختبار 100% ❤️👏
https://s-tj.com/2KX8Qxa
2️⃣ موقع وتطبيق (HelloTalk ) تعليم المحادثة بالذكاء الاصطناعي
الشيء الرائع في هذا التطبيق هو وجود قاعدة مستخدمين ضخمة ، يمكنك الاتصا…
يعلن مجمع الفقه الإسلامي أن غداً الأحد ٣٠ مارس هو أول أيام عيد الفطر المبارك للعام ١٤٤٦ هجرية.
كل عام وأنتم بخير وربنا يتقبل منا ومنكم صالح الأعمال يارب
Signed محمد الفاضل التوم
Showing the 12 most recent of 20 posts we hold for @BBlack_19. 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 — 432,598 of 1,480,688entries 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
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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“B+ve✨🌸” (@BBlack_19), 1,340 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/BBlack_19.
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.
