Religion — 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 2 other registered channels. 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. 10 of the 10 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 23 comparable posts for this entry, running 3 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 3, the earliest publisher we hold is @alfatamae — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, 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 2 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.
5 measurements spanning 6 days, net +11. 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 1,485–1,503 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 06:53
1,501
+4
9 Aug 2026, 08:21
1,497
+10
6 Aug 2026, 18:44
1,487
-3
6 Aug 2026, 07:46
1,490
no change
6 Aug 2026, 00:31
1,490
first reading
Engagement
33 posts held, back to 3 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.04%
avg views ÷ 1,501 subscribers
Avg views / post
30.6
33 posts measured
Reaction rate
4.76%
reactions ÷ views · ER floor
Posts in window
33
of 33 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 1 of 33 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 7 August 2026
Posts held
33 (3 August 2026 – 7 August 2026)
Views total
1,009
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:14 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
39s
Average length
39s
Measured directly from 1 video 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.
لستة دعم
كريم اهل البيت عليهم السلام ( 1 )
💜💜💜💜💜💜💜💜💜
ــــــــــــــــــــــــــ
قناة منقذ البشريه 313
💜 @ansar_emam_mahdi
ـــــــــــــــــــــــــ
طريق الهداية الى الله
💜 @tarekalhedayaa
قناة ساقي عطاشي کربلاء
💜 @saghiatashaalkarbala
صوت الشيعة || 𝐒𝐡𝐢𝐚 𝐕𝐨𝐢𝐜𝐞
💜 @Shia_voice313
قصائد حسينية مكتوبة الناشرابو الاكبر
💜 @Qqaassaad
المأتم الخالده
💜 @AlHosaene
الشاعرة بتول الكربلائية
💜 @pDQDJRsUu3Q3MzAy
اسرار وخفايا اهل ا…
في مثل هذا اليوم عام ٤ هـ
وفاة السيدة العظيمة فاطمة بنت أسد (عليها السلام) والدة أمير المؤمنين علي بن أبي طالب "صلى الله عليه وآله"
اعظم الله اجوركم 💔
خطبة #فاطمة_بنت_اسد (عليها السلام) للناس وهي تبين منزلتها ومنزلة #أميرالمؤمنين (صلى الله عليه وآله)||
~~
قالت (عليها السلام)..
معاشر الناس، إن #الله (عزّ وجل) #اختارني من خلقه، وفضّلني على المختارات ممن مضى قبلي،
وقد اختار الله آسية بنت مزاحم فإنها عبدت الله سِرّاً في موضع لا يحب أن يعبد الله فيه إلا اضطرارا،
ومريم بنت عمران حيث اختارها الله، ويسّر عليها ولادة عيسى، فهزّت الجذع اليابس من النخلة في فلاة من الأرض حت…
🙏 اللّهمّ كن لوليّك الحجّة بن الحسن صلواتك عليه و على آبائه في هَذه السّاعة و في كلّ ساعة وليّاً و حافظاً و قائداً و ناصراً و دليلًا و عيناً حتّى تسكنه أرضك طوعاً و تمتّعه فيها طويلا 🌻🍃 ...
#جمعتكم_همسات_مباركة وبشائر مهدوية بتعجيل الفرج 💚🤲 ...
ثانياً:
لا تقُل: " خلصت هايهيَّ وياك يحسين"
ولا تقُل: " أنتهينا وتركتلك ذكرياتي"
ولا تقُل: " خلصت يا حرامات "
فكل تلك القصائد تُعبر عن أجواء الخدمة وعن لهفة أهل المواكب في الخدمة لكنها لا تعني أننا قد أنتهينا مع الحُسين عليه السلام، لأن الحُسيني الحقيقي لا ينتهي مع حُسينهُ وليس لهُ شهر او شهران فقط مع محبوبهِ من بعدها يفارقهُ، بل الحُسيني الحقيقي كُل أيامهِ حُسين وكُل أعمالهِ خدمة، فلا ننتهي مع الحُسين عليه السلام نح…
ثالثاً:
أن كُنت قد تركت المُحرمات كالأستماع للأغاني وترك مجالس اللهو، وترك العلاقات المحركة وغض البصر عن ما حرّم الله، والألتزام بصلاتك أحتراماً للحُسين عليه السلام، فما بعد الأربعين الحُسين أيضاً حاضر ناظر، الحُسين عليه السلام ليس موجوداً حصراً في محرم وصفر أنما الحُسين عليه السلام حاضراً في كُل مكان وناظراً في كُل أوان، لا تكُن في معسكر الحُسين شهرين وفي معسكر عمر أبن سعر لعنه الله باقي السنة، كُن مع الحُسين عليه …
رابعاً:
أن كُنتِ أختاه قد تركتِ الفعل الحرام والعلاقات المُحرمة والغناء وابتعدتي عن وضع المساحيق التجميلية وألتزمتي بحشمتكِ عزاءً للحُسين عليه السلام ومواساة للسيدة زينب عليها السلام وأحتراماً للسيدة الزهراء عليها السلام، فأنتِ قادرة وتستطيعين أن تفعلي وتلتزمي ذلك بقية السنة، أستشعري نظرة الزهراء عليها السلام لكِ في كُل مرة، شعرة واحدة منكِ هي أشد من جلوس الشمر على صدر ولدها الحسين عليه السلام، لا تكُوني ملحاً على ج…
Showing the 12 most recent of 33 posts we hold for @alfatamae. 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 — 475,278 of 1,478,351entries 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.
Mentions
Named by 57 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@alfatamae named 1 handle 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.
@pdqdjrsuu3q3mzay named in 2 posts, 8 August 2026 – 8 August 2026
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“العتبة الفاطمية المقدسة” (@alfatamae), 1,501 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/alfatamae.
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.
