Channel
@mdwnah
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
20,653subscribers
-236 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001457489413 |
|---|---|
| Type | Channel |
| Username | @mdwnah |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/mdwnah |
Religion — 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 72% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 03:39 | 20,653 | -9 |
| 15 Sept 2026, 01:36 | 20,662 | -7 |
| 13 Sept 2026, 14:19 | 20,669 | -4 |
| 11 Sept 2026, 21:38 | 20,673 | -9 |
| 9 Sept 2026, 10:00 | 20,682 | -39 |
| 5 Sept 2026, 23:20 | 20,721 | -11 |
| 3 Sept 2026, 21:38 | 20,732 | -12 |
| 2 Sept 2026, 15:46 | 20,744 | +3 |
| 1 Sept 2026, 15:32 | 20,741 | -1 |
| 31 Aug 2026, 17:11 | 20,742 | -2 |
| 30 Aug 2026, 19:43 | 20,744 | -4 |
| 29 Aug 2026, 18:13 | 20,748 | -8 |
| 28 Aug 2026, 15:05 | 20,756 | -5 |
| 27 Aug 2026, 13:16 | 20,761 | -3 |
| 26 Aug 2026, 16:26 | 20,764 | -5 |
| 25 Aug 2026, 16:44 | 20,769 | -10 |
| 24 Aug 2026, 15:05 | 20,779 | -17 |
| 22 Aug 2026, 21:28 | 20,796 | -5 |
| 21 Aug 2026, 07:48 | 20,801 | -6 |
| 20 Aug 2026, 09:34 | 20,807 | first reading |
30 posts held, back to 21 May 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 58 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 30 (21 May 2026 – 29 August 2026) |
| Views total | 10,556 |
| Reactions total | 616 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 18:09 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.
2,848 reactions across 30 posts, in 4 distinct kinds. The most used accounts for 82.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,340 | 82.2% | |
| 💔 | 454 | 15.9% | |
| 🤝 | 51 | 1.79% | |
| 🙏 | 3 | 0.105% |
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 30 of the 30 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 2,848 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 21 May 2026 to 29 August 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.
الصبر على المشاقّ التي تعترض طالب العلم الساعي لإحياء أمته= عبادة عظيمة وقربة إلى الله سبحانه، يضمّ بها المرء عبادة إلى عبادة وفضلا إلى فضل. وإنما يصدق الذي يدّعي أنه يطلب العلم لصلاح نفسه وإصلاح أمته حين يثبت ويصبر على ما يعترض طريقه في تحقيق هذه الغاية الشريفة من ابتلاءات وامتحانات ومشاق وأهواء.
❤31🤝4
هذا، وإن من الخيانة أن تُنسى غزّة، أو أن يُغضّ الطَرفُ عنها، أو يُتناساها أو يتم تجاهلها! إنّها والله لخيانة عُظمى للذين ضحوا بحياتهم ليوقظوا النّوام من غفلتهم، ويستفيق السُكارى من سكرتهم! كيف يُنسى أَنس الشريف، الذي ضحى بحياته، وبقي يهتف ويستصرخ آذانًا صُمًّا حتى اصطفاه الله! وكيف يُنسى الطبيب حسام أبو صفية الذي ظل مُرابطًا على ثغره، لم يوهنه قتل ابنه، حتى مضى إلى قَدَره أمام عالم مُتفرجٍ صامت! أتُنسى مشاهد الته…
💔44❤21
اطلعت على ورقتين لأحد الشهداء، خطهما بقلمه، وكتبهما بنفسه، فيهما ديونه الشخصية، وأمانات آمل في سدادها عنه إذا توفاه الله وقبضه إليه.. ومما قضّ مضجعي، وهالني وأنا أقرأ، أن تلك الديون إنما هي على أشياء حقيق بأن يكفى المرء فيها، سيّما إذا كان مجاهدا، أو ذا ثغر يقوم عليه، فلا يبرحه لكدٍّ في دنياه، يبغي به كفاية أهله، فيؤتى المسلمون من ناحيته، ومن ثمَّ يعمّ البلاء.. وإنّي إذ أبث لكم هذا المعنى بين حروفي، لأبشركم أنه تمّ…
💔42❤7
انتقل جدي قبل ساعات يسيرة إلى جوار ربّه الكريم الرحيم.. وقد كان جدّي من أعظم الناس الذي رأيتهم إحسانًا إلى خلق الله مع سوء معاملتهم له، وقبيح مُقابلتهم لإحسانه وعفوه! فإنّي أرجو أن يجزيه الله من فضله وإحسانه، ويجود عليه بعفوه كما كان يجود على الناس بالصفح والعفو والإحسان والحلم! وقد كان من ابتلاءاته في هذه الحياة -رحمه الله- أنه كان ذا علم ووعي وبصيرة وحكمة في بيئة لا تعرف للعلم قيمة ولا تقدر للعالم قدره، فكان من …
💔115❤59🤝2
لا إحسان أعظَمَ من إحسان من دلّك على الله، وعرفك طريق الحق، وكشف لك سوءة الباطل، وملكك أدوات التفكير المنضبط -بإذن الله- فوالله كل إحسان الخلق في كفة، وإحسان من ذا صفته في كفة.. ولا يوفي حقّه إلا الله.. والله يجزي المُحسنين..
❤148🤝4
وعند الصباح يَحمَدُ القومُ السُرى .. مُبارك آل أكاديمية الجيل الصاعد.. ومُبارك خصيصًا لآل إثمار الأحباب الكرام..
❤139
إن من ضعف الإنسان وعجزه أنه يتأثر بالمُتغيرات في حياته ومن حوله، فلا يستطيع أن يبقى على وتيرة واحدة في كل حالاته، بل يصعد ويهبط، ويتقدم ويتأخر، ويُقوم ويتعثر، ويَنشط ويكسل.. ليعلم بذلك قدر نفسه، ومقدار ضعفه، وشدّة حاجته لمعونة ربّه، وأنه لولا عنايته ولطفه لما استطاع أن يستقيم على أمر أراده إلا بتوفيق من ربّه وهداية منه، فيبرأ صادقًا -حينئذ- من حوله وقوته إلى حول الله وقوته، ويعلم شدّة فقره إلى: إياك نَعبُد وإياك نست…
❤127💔15
ما أرحم الله بعبده، يبتعد ويغفل، ويبقى مُحسنًا إليه، رؤوفًا به، متوددًا إليه.. حتى إذا استفاق العبد من غفلته وأدرك كم فرط، وكم أضاع، وتحسّر على ما فات، واعترف بجرمه، فعاد تائبًا منيبًا مُنكسرًا، وجد ربّه برًا به، فَرِحًا بتوبته، حفيًا به، لم يُغلق بابه دونه.. فما أشد خجلته، وما أَعظم حياءه من ربه..!
❤108💔29
ما أشد حاجة العبد إلى ربّه.. وما أبأس حاله بعيدًا عنه..
❤88💔13🤝5
هنيئًا لمن حافظ على اليقظة من بعد الطوفان.. وأحسن حالًا منه من استدام العمل، ورابط على النُصرة.. والله يغفر لنا..
❤102💔25🤝3
وما أصدق هذه الكلمة!
💔33❤13
بداية الفتنة، أن تأمن على نفسك الفتنة..!
❤31
Showing the 12 most recent of 30 posts we hold for @mdwnah. 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.
@mdwnah edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 71 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.
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.
“مدوّنة” (@mdwnah), 20,653 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/mdwnah.
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.