Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 34% 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.
Growth
33 measurements spanning 42 days, net -292. 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 28,324–28,704 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 05:57
28,368
-27
15 Sept 2026, 06:01
28,395
-14
13 Sept 2026, 15:37
28,409
-8
11 Sept 2026, 17:56
28,417
-22
9 Sept 2026, 04:38
28,439
-11
5 Sept 2026, 23:21
28,450
-6
3 Sept 2026, 17:57
28,456
-7
2 Sept 2026, 09:54
28,463
+2
1 Sept 2026, 11:48
28,461
-5
31 Aug 2026, 12:48
28,466
-1
30 Aug 2026, 13:25
28,467
-6
29 Aug 2026, 16:44
28,473
-7
28 Aug 2026, 19:14
28,480
-9
27 Aug 2026, 22:38
28,489
-6
27 Aug 2026, 01:29
28,495
-1
26 Aug 2026, 01:37
28,496
-1
25 Aug 2026, 01:36
28,497
-10
23 Aug 2026, 11:27
28,507
-14
21 Aug 2026, 20:05
28,521
-13
20 Aug 2026, 18:27
28,534
first reading
Engagement
35 posts held, back to 2 June 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 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.2%
avg views ÷ 28,368 subscribers
Avg views / post
4,320
5 posts measured
Reaction rate
3.02%
reactions ÷ views · ER floor
Posts in window
8
of 35 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 19 September 2026
Posts held
35 (2 June 2026 – 19 September 2026)
Views total
21,620
Reactions total
654
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 02:12 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
256
Videos
632
Links
273
Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
37m 39s
Average length
1m 18s
Measured directly from 29 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
5,341 reactions across 32 posts, in 16 distinct kinds. The most used accounts for 63.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,402
63.7%
👍
774
14.5%
🔥
311
5.82%
💯
310
5.80%
❤🔥
186
3.48%
🤣
146
2.73%
👏
89
1.67%
💔
43
0.805%
😁
31
0.58%
⚡
15
0.281%
😢
12
0.225%
😭
10
0.187%
🤔
6
0.112%
👎
3
0.056%
🤗
2
0.037%
🤷♂
1
0.019%
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 32 of the 35 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 5,341 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 2 June 2026 to 19 September 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.
Telegram Stars
Stars received
95
across the posts below
Posts paid on
19
of 32 we hold a reading for · 59%
Most on one post
42
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctorMohamadhamed. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 35 most recent posts we hold for this entry, published 2 June 2026 to 19 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Перед убийством будущего халифа Усмана ибн Аффана враги распустили о нём множество лживых слухов. К сожалению, эти слухи распространились среди людей в тысячу раз шире. Некоторые люди настолько поддались этим сплетням, что один из них сильно завелся, он поклялся ударить Усмана по лицу. Пока он собирался выполнить свою клятву и шёл к нему, Усмана уже убили. Но он всё равно дошёл до его тела. Когда люди читали заупокой…
ГОВОРЯТ — всего 7 букв, но сколько вреда может принести это слово…
Сколько семей разрушилось из-за слухов?
Сколько людей пострадало из-за непроверенной информации?
Сколько судеб и отношений были испорчены просто потому, что кто-то сказал: ГОВОРЯТ…
Посланник Аллаха ﷺ сказал:
Достаточно человеку лжи уже в том, что он рассказывает всё, что слышит.
А Аллах Всевышний сказал:
О вы, которые уверовали! Если нечестивец п…
Чрезмерная доброта, щедрость и прощение оборачиваются против тебя — люди начинают пользоваться и пренебрегать тобой. Знай меру, как сказано в Коране: «Мы сделали вас общиной умеренной» (2:143).
Посланник Аллаха
(мир ему и благословение Аллаха) сказал:
«Поистине, раб не обретёт истинную веру, пока не исправится его сердце, а его сердце не исправится, пока не исправится его язык».
Намерения прекрасны, но они не оправдывают боль, которую причиняет наш язык. Если хотите изменить свою жизнь - начните с того, что говорите.
Исправление языка - это ключ к чистоте сердца.
Мы часто ждём идеального момента: когда будем готовы, когда всё получится с первого раза, когда не будет риска ошибиться.
Но так можно просидеть всю жизнь.
Ошибки — не признак того, что ты проиграл.
Это признак того, что ты движешься.
Тот, кто ничего не делает, действительно не ошибается. Но и не растёт.
Не бойся сделать неправильно.
Бойся однажды оглянуться назад и понять, что ты даже не попробовал.
Встань. Сде…
Не стремись к довольству людей.
Как бы ты ни старался угодить людям, всегда найдётся тот, кто захочет увидеть тебя неправым — даже если для этого придётся закрыть глаза на очевидное.
Невозможно заслужить довольство всех.
Но можно стремиться к довольству Того, Кто знает тебя лучше всех.
Не трать жизнь на попытки понравиться людям.
Исправляй намерение, делай то, что угодно Аллаху, и оставь людские оценки Ему.
Довол…
Мы так привыкли обсуждать чужие ошибки, что забываем о своих. Как будто мы безгрешные, как будто ангелы. Но пророк Мухаммад ﷺ сказал: "Один из вас видит соринку в глазе брата, но забывает о бревне в своём". А Хасану Аль-Басри задали вопрос: почему его не видели обсуждающим других? Он ответил: "Мне достаточно своих грехов".
Самое сильное напоминание сегодня — займись собой. Грехи других не твоя забота.
❤113💯30🔥19👍13🤔1
Showing the 12 most recent of 35 posts we hold for @doctorMohamadhamed. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 2 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.
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
@doctorMohamadhamed 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.
@gimadov named in 5 posts, 8 August 2026 – 18 August 2026
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.
Академия Al-Huda | Исламская онлайн-академия @ac_alhuda · 9,368#1
Read from Telegram’s recommendation API, most recently 9 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.
Юсуф Абу Закария @yusufabuzakariya · 24,177 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 16 September 2026
Исмаиль абу Мухаммад @Ismailabumuhammad · 26,810 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 11 September 2026
Шейх Усман Аль Хамис @usmankhamys · 57,362 Telegram ranks this channel #51 of 86 here — alongside 85 others — read 23 August 2026
Ruslan Kurbanov @ruslankurbanovTG · 26,744 Telegram ranks this channel #58 of 83 here — alongside 82 others — read 11 September 2026
This channel appears in 4 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Мохамад Хамед” (@doctorMohamadhamed), 28,368 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/doctorMohamadhamed.
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.