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 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.
Views per post sit far below this size band
29.5 average views per post against 30,428 subscribers — an engagement rate of 0.097%. Across the 1,390 registered channels in the same cohort — 10,004–31,620 subscribers, posting mainly in Arabic — the middle half sit between 2.40% and 13.0%, with a median of 6.16%.
What this was computed from
Window
30 days (5 September 2026 – 5 October 2026)
Posts measured
228 of 228 published in the window (228 exact, 0 rounded by Telegram)
Views totalled
6,726
Mature posts only
0.415% over 44 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 key err_low, last confirmed 5 October 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.
36 measurements spanning 60 days, net -282. 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 30,386–30,752 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
4 Oct 2026, 11:16
30,428
-37
26 Sept 2026, 01:18
30,465
-36
17 Sept 2026, 13:40
30,501
-7
15 Sept 2026, 15:20
30,508
-26
13 Sept 2026, 21:59
30,534
-13
12 Sept 2026, 05:36
30,547
+1
9 Sept 2026, 20:21
30,546
-13
6 Sept 2026, 11:40
30,559
-1
4 Sept 2026, 01:41
30,560
-13
2 Sept 2026, 13:04
30,573
-4
1 Sept 2026, 09:54
30,577
-18
31 Aug 2026, 08:33
30,595
-16
30 Aug 2026, 09:23
30,611
+2
29 Aug 2026, 12:09
30,609
+4
28 Aug 2026, 15:33
30,605
-3
27 Aug 2026, 16:25
30,608
+4
26 Aug 2026, 13:12
30,604
-21
25 Aug 2026, 10:48
30,625
+3
24 Aug 2026, 14:06
30,622
-14
22 Aug 2026, 23:46
30,636
first reading
Engagement
640 posts held, back to 29 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 92 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.097%
avg views ÷ 30,428 subscribers
Avg views / post
29.5
228 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
228
of 640 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 5 October 2026
Posts held
640 (29 July 2026 – 5 October 2026)
Views total
6,726
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Oct 2026, 06:07 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
≈2,790
Videos
≈501
Links
≈3,270
Lifetime counters from Telegram’s own channel header, read 5 October 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
19m 38s
Average length
1m 19s
Measured directly from 15 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.
✨ خطوات بسيطة تحول حياتك الزوجية إلى واحة حقيقية من الراحة اكتشفها عبر هذا المدخل 👇🏼
https://t.me/fwayiid/21221
📖 لحفظ القࢪآن للࢪجال والنساء والأطفال مجانًا👇🏻
t.me/addlist/m8DG8kAqWsA1OTQ0
💯للدعم @Al_foursan
✨ هل تعلم أن الملائكة تدعو لك في أوقات قد تغفل عنها.. تعرف عليها من هنا 👇🏼
https://t.me/fwayiid/20120
🥗 أفكار لأطعمة مناسبة للرجيم، ووصفات متنوعة تساعدك على تنظيم أكلك بطريقة أبسط 👇🏻
t.me/addlist/IH7j7yXleOI1ZDFk
💯للدعم @Al_foursan
❀ قصص القرآنツ
https://t.me/Dorrwfwaed
⇢✰✰✰✰✰✰╮ ✎
🌱 قناة ابن عثيمين
🔹35k @Ibinothaimeen
🌱 السيرة النبوية للأطفال
🔹33k @seerawqass
🌱 إجازة قرآنية
🔹18k @egaza
🌱 فوائد وفرائد
🔹13k @Dorrwfwaed
🌱 الصحة والتـ ـغذية
🔹12k @sihatok
╰🌸🍃╮
🌱 رضا الله غايتي
🔹10k @Reda_Allah
🌱 أمهاتنا
🔹09k @ucfuzjc
🌱 من كل بستاني زهرة
🔹08k @mylivessss
🌱 حصاد تدبر
🔹06k @tadabbur1
🌱 تعلم الانجليزي من الصفر
🔹02k @developyournglish
╰🌸🍃╮
…
Showing the 12 most recent of 640 posts we hold for @FiiqhWomen. 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 90 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 7 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 · 35,996 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 2 September 2026
كبار العلماء @lllaaael · 24,027 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 16 September 2026
الفقه الإسلامى @AlFiiqh · 29,121 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 8 September 2026
💢قال الحبيب محمد ﷺ💢🌙 @raa66 · 56,684 Telegram ranks this channel #19 of 93 here — alongside 92 others — read 23 August 2026
| كن | ٲنت | التغيير | -_^ @Mohamedom291 · 38,673 Telegram ranks this channel #27 of 93 here — alongside 92 others — read 31 August 2026
دُرُوبُ الــخَـــيْــرِ🌱 @cfjfjkodod · 45,413 Telegram ranks this channel #27 of 89 here — alongside 88 others — read 27 August 2026
تعلم اللغة الإنجليزية @English_2020m · 20,409 Telegram ranks this channel #38 of 86 here — alongside 85 others — read 27 September 2026
روائع الخواطر @Rawaeyalkhawater · 19,538 Telegram ranks this channel #57 of 80 here — alongside 79 others — read 1 October 2026
رجال بهمة تحيي أمة 💚ُ @zaaad11 · 22,936 Telegram ranks this channel #68 of 90 here — alongside 89 others — read 19 September 2026
🎀كلمات مؤثرة🎀🌙 @ramk898 · 87,488 Telegram ranks this channel #89 of 96 here — alongside 95 others — read 17 August 2026
This channel appears in 10 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“فقه النساء” (@FiiqhWomen), 30,428 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/FiiqhWomen.
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.
