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 10 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 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. 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
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. 2 of the 2 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 1,009 comparable posts for this entry, running 28 July 2026 to 13 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).
Views per post sit far below this size band
11.1 average views per post against 28,961 subscribers — an engagement rate of 0.038%. Across the 4,836 registered channels in the same cohort — 10,004–31,619 subscribers, posting mainly in Arabic — the middle half sit between 2.98% and 14.2%, with a median of 7.18%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
442 of 442 published in the window (442 exact, 0 rounded by Telegram)
Views totalled
4,911
Mature posts only
0.14% over 94 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_mutual · clone_source · err_low, last confirmed 13 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.
Growth
63 measurements spanning 99 days, net -446. 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 28,852–29,449 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
13 Nov 2026, 00:08
28,934
-1
10 Nov 2026, 20:50
28,935
+14
9 Nov 2026, 08:36
28,921
-16
8 Nov 2026, 01:51
28,937
-13
6 Nov 2026, 22:46
28,950
-11
4 Nov 2026, 22:49
28,961
-6
4 Nov 2026, 01:01
28,967
-5
3 Nov 2026, 02:17
28,972
+7
1 Nov 2026, 23:28
28,965
-16
31 Oct 2026, 20:55
28,981
+1
30 Oct 2026, 18:21
28,980
-1
29 Oct 2026, 20:31
28,981
-2
28 Oct 2026, 19:18
28,983
+3
27 Oct 2026, 16:09
28,980
-7
26 Oct 2026, 17:49
28,987
+5
25 Oct 2026, 21:19
28,982
-10
24 Oct 2026, 18:07
28,992
-18
23 Oct 2026, 20:35
29,010
+6
22 Oct 2026, 23:15
29,004
+4
22 Oct 2026, 00:39
29,000
first reading
Engagement
1,222 posts held, back to 28 July 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 165 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.037%
avg views ÷ 28,934 subscribers
Avg views / post
10.7
456 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
456
of 1,222 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 13 November 2026
Posts held
1,222 (28 July 2026 – 13 November 2026)
Views total
4,899
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 01:53 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
≈2,870
Videos
≈561
Links
≈3,720
Lifetime counters from Telegram’s own channel header, read 13 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
39m 31s
Average length
2m 05s
Measured directly from 19 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 456 posts held from the last 30 days (0.219%) 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).
🌿 لا تجعل يوم الجمعة يمر دون فائدة!
💭 تعرّف على آداب الجمعة وأحكامها في رسائل مختصرة وسهلة، من الطريق إلى المسجد حتى الإنصات للخطبة
📌 اقرأ، وتعلّم، وشارك غيرك👇
https://t.me/addlist/pDiVtgkdxvszM2Jk
🌱 دورات مجانية تثري علمك:
📖 السيرة النبوية🖊 النحو وقواعد اللغة العربية📚 وغيرهم💌 اغتنم الفرصة👇
t.me/AleayidunElaAllah/36724
🌿 لا تجعل يوم الجمعة يمر دون فائدة!
💭 تعرّف على آداب الجمعة وأحكامها في رسائل مختصرة وسهلة، من الطريق إلى المسجد حتى الإنصات للخطبة
📌 اقرأ، وتعلّم، وشارك غيرك👇
https://t.me/addlist/pDiVtgkdxvszM2Jk
🌱 دورات مجانية تثري علمك:
📖 السيرة النبوية🖊 النحو وقواعد اللغة العربية📚 وغيرهم💌 اغتنم الفرصة👇
t.me/AleayidunElaAllah/36724
❀ قصص القرآنツ
https://t.me/seerawqass
⇢✰✰✰✰✰✰╮ ✎
🌱 قناة ابن عثيمين
🔹35k @Ibinothaimeen
🌱 هكذا نربّي أطفالنا
🔹32k @formykids
🌱 فقه النساء
🔹31k @FiiqhWomen
🌱 ⤶ قناة طَلأب العَلم
🔹21k @AHALALALM
🌱 دُرَرٌ للتَدَبُّر
🔹19k @Dorrlltdbr
╰🌸🍃╮
🌱 وأذكــر ربــك إذا ن
🔹13k @kawateriemany
🌱 رضـا الله غـايـتـي.
🔹10k @Reda_Allah
🌱 { همسة صباحية }
🔹10k @hamsa_sbahya
🌱 الا بذكر الله
🔹09k @mydree
🌱 إرشادات ونصائح وقوا
…
Showing the 12 most recent of 1,222 posts we hold for @AlFiiqh. 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 166 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
قناة ابن عثيمين @Ibinothaimeen · 36,175 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 2 September 2026
كلمات انجليزي مترجمة @English742 · 29,563 Telegram ranks this channel #7 of 75 here — alongside 74 others — read 7 September 2026
بّـــرالوالدين @ptuj55 · 44,215 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 28 August 2026
سـ{ويبقى}ـنرحـ{الاثر📚}ـل @ghawaly57r · 26,691 Telegram ranks this channel #13 of 91 here — alongside 90 others — read 12 September 2026
💢قال الحبيب محمد ﷺ💢🌙 @raa66 · 56,283 Telegram ranks this channel #14 of 93 here — alongside 92 others — read 23 August 2026
فقه النساء @FiiqhWomen · 30,183 Telegram ranks this channel #19 of 88 here — alongside 87 others — read 7 September 2026
📖 أكاديمية روح العالمية 📖 @abag25 · 25,697 Telegram ranks this channel #20 of 86 here — alongside 85 others — read 13 September 2026
النحو الميسر {قناة علوم اللغة العرببة} @annahoalmuyser · 38,122 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 31 August 2026
دُرُوبُ الــخَـــيْــرِ🌱 @cfjfjkodod · 45,174 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 27 August 2026
| كن | ٲنت | التغيير | -_^ @Mohamedom291 · 38,414 Telegram ranks this channel #25 of 93 here — alongside 92 others — read 31 August 2026
📚دُرر من أقوال السلف📚 @quraan87 · 18,640 Telegram ranks this channel #26 of 73 here — alongside 72 others — read 2 October 2026
رؤوس أقلام أدبية @phiIosop7 · 26,051 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 12 September 2026
وعجلت إليك رب لترضى @waagelto · 26,238 Telegram ranks this channel #48 of 85 here — alongside 84 others — read 12 September 2026
البيانُ أسئلة اختبار حفظ القُرآن @Albayanquran · 74,936 Telegram ranks this channel #55 of 93 here — alongside 92 others — read 19 August 2026
كـن مع الله يكــن الله معــك @ysfgl · 39,166 Telegram ranks this channel #63 of 97 here — alongside 96 others — read 31 August 2026
🌹لمحــــبي النبي ﷺ 🌹حياتنا قرآن وسنة @chbihiilham · 53,326 Telegram ranks this channel #71 of 99 here — alongside 98 others — read 24 August 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. 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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“الفقه الإسلامى” (@AlFiiqh), 28,934 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/AlFiiqh.
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.
