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 8 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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 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 (1 of the pairs behind the counts below)
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. None of the 0 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 67 comparable posts for this entry, running 18 July 2026 to 9 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).
Recorded under the key clone_source, last confirmed 11 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
65 measurements spanning 97 days, net -10,220. 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 509,693–522,979 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 17:51
511,226
-184
9 Nov 2026, 02:08
511,410
-94
7 Nov 2026, 21:11
511,504
-99
6 Nov 2026, 15:45
511,603
-144
5 Nov 2026, 15:39
511,747
-59
4 Nov 2026, 17:36
511,806
-89
3 Nov 2026, 14:47
511,895
-78
2 Nov 2026, 14:06
511,973
-160
1 Nov 2026, 11:26
512,133
-33
31 Oct 2026, 14:57
512,166
-87
30 Oct 2026, 12:06
512,253
-69
29 Oct 2026, 14:37
512,322
-225
28 Oct 2026, 10:30
512,547
-57
27 Oct 2026, 12:46
512,604
-37
26 Oct 2026, 11:16
512,641
-14
25 Oct 2026, 09:56
512,655
-110
24 Oct 2026, 06:59
512,765
-120
23 Oct 2026, 05:26
512,885
+30
22 Oct 2026, 03:07
512,855
-222
20 Oct 2026, 23:06
513,077
first reading
Engagement
109 posts held, back to 18 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 197 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.0%
avg views ÷ 511,226 subscribers
Avg views / post
81,700
30 posts measured
Reaction rate
2.91%
reactions ÷ views · ER floor
Posts in window
30
of 109 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 9 November 2026
Posts held
109 (18 July 2026 – 9 November 2026)
Views total
2,451,200
Reactions total
71,323
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 01:51 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
≈500
Videos
≈352
Links
≈1,310
Lifetime counters from Telegram’s own channel header, read 11 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
37m 31s
Average length
4m 10s
Measured directly from 9 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
233,683 reactions across 109 posts, in 9 distinct kinds. The most used accounts for 77.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
180,931
77.4%
💔
19,477
8.33%
👍
13,513
5.78%
😭
7,404
3.17%
🔥
6,292
2.69%
👌
2,512
1.07%
👏
1,921
0.822%
👀
1,108
0.474%
🤝
525
0.225%
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 109 of the 109 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 233,683 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 109 most recent posts we hold, published 18 July 2026 to 9 November 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
Telegram’s own ‘edited’ marker: 11 of 30 posts held from the last 30 days (36.7%) 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).
فهرس الأحاديث التي يسر الله شرحها في مختلف السلاسل مع مقاطعها المرئية وملخصاتها المكتوبة (متجدد):
1-: https://t.me/shrou7alsunnah/737
2- https://t.me/shrou7alsunnah/738
كما أنّ باب "الموازنات بين المصالح والمفاسد وفقه الأولويات" قد يكون عنوانا على الحكمة التي يحبها الله سبحانه وتعالى؛ فقد يكون بعكس ذلك ذريعة للاحتيال على الشريعة ومضادة سبيلها.
والفرقان في ذلك يستبين بأمور:
أولها وأهمها: النيّة، فهي أساس في هذا الباب.
وثانيها: إفراغ الوسع في الاجتهاد والتحري لإصابة الحق.
وثالثها: موافقة المصالح المعتبرة في الشريعة ومجانبة المصالح الملغاة في ميزانها.
ورابعها: تقدير الضرورات بقدرها، م…
أهلنا في غزة بحاجة ماسّة وعاجلة إلى بيوت وخيام واقية من الأمطار، وإلى إيواء من تضررت خيامهم من الأمطار الغزيرة.
على كل المؤسسات الخيرية القادرة على الوصول والدعم إعطاء الأولوية لذلك.
#إيواء_عاجل_لغزة
اللهم آوهم..
قال نبينا المصطفى ﷺ: "تعوّذوا بالله من الفتن ما ظهر منها وما بطن" أخرجه مسلم
إنّ من شرّ ما يستقبل به المسلم الفتن أن يكون على حال من:
1- الاستهتار،
2- والعجلة والاندفاع،
3- والتعصب والتقليد،
4- والاستعلاء والاستغناء.
ومن خير ما يستقبل به المسلم الفتن أن يكون على حال من:
1- الحذر والورع،
2- والتأني والثبّت،
3- والتجرّد ونزع العصبية،
4- والاستهداء بالله والافتقار إليه.
وقد كان من دعاء النبي ﷺ:
"اللهم رب جبرائيل وم…
في هذا المقطع المهم أمران:
1- أن الحديث عن الله سبحانه في القرآن على قسمين، مع تبيين هذين القسمين.
2- الجوانب الكاشفة عن مركزية موضوع الحديث عن الله في القرآن.
[دورة تدريس المنهاج من ميراث النبوة]
هذه دورة منهجية يمكن دراستها في أي وقت -عبر نظام الدراسة الذاتية- والهدف منها: إعانة من يقوم بتدريس كتاب المنهاج من ميراث النبوة للفئات المختلفة.
https://t.me/alminhaj_m/719
اللهم انتقم من كيان الاحتلال المجرم ورؤوسه وقادته ومستوطنيه على ما يرتكبونه في مدينة "الخليل" وسائر فلسطين من الهدم والتهجير والظلم والعدوان، وحسبنا الله ونعم الوكيل.
هذه المحاضرة فيها الخلاصة المعتصرة من المعاني التي بُسطت قبل ذلك في كثير من السلاسل والدروس والمختلفة -وإن كانت لا تغني عن تلك السلاسل والدروس-
https://youtu.be/It2ZvEB83j0?si=o6eyBguHEHBwOf8t
تكاثرت في هذه السنوات في شبكات التواصل: (عصابات التشبيح الإلكتروني)
والتي يمكن وصفها بأنها:
[مجموعات إلكترونية منظمة، تشن حملات تشويهية ظالمة، على أشخاص يصنفونهم بمعاييرهم الخاصة على أنهم مخالفون أو خصوم، فينتهجون معهم سياسة التشويه والشيطنة والتصنيف والقولبة، عبر أساليب التصيد والافتراء والاقتصاص وتحريف مراد المتكلم أو تحميله ما لا يحتمل و إلزامه بما لا يلزم؛ منطلقين في ذلك من سردية تحزبية معينة تكون هي المعيار الأ…
تفوُّق رسالة الأخ (فداء الدين) الإعلامية -مع قصرها- على الرسائل الإعلامية الأخرى في محاربة المشروع الحوثي، مع عدم امتلاكه ما تمتلكه الدول والأحزاب والمؤسسات الرسمية من أدوات وذباب إلكتروني ونحوه: فيه بيان أهمية دور الداعية الإسلامي المستقل، المعتدل غير المتعصب، القادر على الوصول إلى الشباب والرأي العام دون أن يكون دائرا في فلك حزب أو دولة يغضب لغضبها ويرضى لرضاها و يُحبس في سرديتها.
فهو قادر على أن يتحدث بما يراه عدل…
❤4,140👍398👏119👌100🔥66💔11👀10🤝4
Showing the 12 most recent of 109 posts we hold for @alsayed_ah. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @alsayed_ah as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
16 September 2026
Most recent seen missing
16 September 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 406 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 22 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.
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 9 August 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.
الإغاثة العربية - مكتب غزة @arabicrelief · 20,320 Telegram ranks this channel #1 of 75 here — alongside 74 others — read 5 October 2026
قناة د. محمد علي يوسف @mohamadaliyousef · 19,199 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 2 October 2026
واحة القرآن عادل الجندي @wahaQuR · 33,026 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 24 September 2026
Metras - متراس @metrasweb · 21,312 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 24 September 2026
أَرحنا بِها يَا بِلال | Comfort us with it, O BILAL @alraahwalslaah · 21,344 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 23 September 2026
أحمد قنيطة @a2qanita1 · 21,460 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 22 September 2026
قناة الدكتور مطلق الجاسر الرسمية @mutlaqaljasser · 21,722 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 22 September 2026
التزكية @ALTazkiah · 21,771 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 21 September 2026
مُعِينَات | Mo3inat @mo3inat · 22,243 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 20 September 2026
إِسْلَام مَنْصُوْر @eslammansourr · 22,696 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 20 September 2026
مُسدَّد @lllmmmlllllll · 22,440 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 20 September 2026
قناة: خالد بهاء الدين @Kbahaa · 23,576 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 17 September 2026
السبيل @al_sabeel · 23,932 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 17 September 2026
حــــنـــان فـــــؤاد @HananFoad · 24,446 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 16 September 2026
لطفي أحمد الطوخي🔻 @LotfiELtokhi · 24,923 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 16 September 2026
برنامج "أين الطريق؟"| القناة الرسمية @WhereIsTheRoad · 27,296 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 10 September 2026
نحو بيوت دافئة - آية الأحمد @Naho_BoyotDafea · 27,705 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 10 September 2026
مدارسات قناة سواعد @modarasatswaad · 29,989 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 6 September 2026
رواسخ @Rawasekh · 31,554 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 5 September 2026
خالد حمدي @k_owais · 31,473 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 5 September 2026
درر الشيخ السكران @Alsakrandrr · 32,735 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 4 September 2026
يوسف الدموكي @yousefdomoky · 32,646 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 4 September 2026
نايف بن نهار @nayefbinnahar · 35,757 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 3 September 2026
عِرفان @aerfanalruooh · 38,725 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 31 August 2026
This channel appears in 433 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
4 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“قناة أحمد بن يوسف السيد” (@alsayed_ah), 511,226 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/alsayed_ah.
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.
