Local community — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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.
Growth
15 measurements spanning 91 days, net +411. 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 577–1,131 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Nov 2026, 14:21
1,066
+3
3 Nov 2026, 22:57
1,063
+1
31 Oct 2026, 19:58
1,062
-5
29 Oct 2026, 04:48
1,067
+167
23 Oct 2026, 01:47
900
+77
16 Oct 2026, 21:21
823
+34
9 Oct 2026, 23:16
789
+120
29 Sept 2026, 22:37
669
+28
15 Sept 2026, 12:20
641
-4
8 Sept 2026, 04:37
645
-2
30 Aug 2026, 13:28
647
-1
22 Aug 2026, 23:15
648
-4
16 Aug 2026, 02:24
652
-3
8 Aug 2026, 02:45
655
no change
7 Aug 2026, 22:42
655
first reading
Engagement
19 posts held, back to 10 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 30 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,010 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 74.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
747
74.0%
👎
158
15.6%
🤯
61
6.04%
❤
32
3.17%
💔
11
1.09%
👏
1
0.099%
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 19 of the 19 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 1,010 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 10 December 2025 to 30 June 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.
🔴 به نام خدایی که حق را آفرید و عدالت را نور راه انسان ساخت
🔸 عرض سلام و ادب و احترام خدمت دانشجویان گرامی
🔸 دوره فعالیت شورای صنفی ۱۴۰۴–۱۴۰۵ با تمام سختی‌ها، فراز و نشیب‌ها، تلخی‌ها و شیرینی‌هایش به پایان رسید؛ دوره‌ای که در آن تلاش کردیم شورای صنفی را از یک نهاد صرفاً آئین نامه ای، به خانه‌ای پویا و تکیه گاهی برای دانشجویان تبدیل کنیم.
🔸 زمانی که مسئولیت دبیرکلی را پذیرفتم، می‌دانستم مسیر آسانی پیش رو نیست؛ اما …
سلام وقتتون بخیر باشه
برنج غذاهایی که برای مناسبت ها داده میشه مثل برنج اکبر جوجه برای روز دانشجو یا برنج جوجه کباب برای کنگره بسیار کیفیتش بد بود و قابل خوردن نیست در حالی که من سخت گیر نیستم لطفا پیگیری کنید این نوع برنج دیگه داده نشه حتی امروز دانشجو های دانشگاه های سایر شهرها هم میگفتن و جلوه ی خوبی نداره به عنوان میزبان.
مورد دوم اینکه لطفا به منو های غذایی تنوع بدین غذا های بهتر و متنوع تری رو در منو قرار بدین…
سلام وقت بخیر خوبین
اول میخواستم تشکر کنم از پیگیری ها وزحماتتون کیفیت بعضی از غذاها نسبت به قبل بهتر شده
دوم اینکه اگه میشه بمانی مرغ و هویج از لیست غذاها حذف بشه و اگه نمیشه حداقل یه غذای بهتری کنارش قرار داده بشه که بتونیم انتخاب کنیم
#پیام_شما
ناهار امروز (سالاد ماکارونی) ب شدت افتضاح بود
شور بود هیچ مرغی نداشت فقط چند تا تیکه کالباس بود حتی میشه گفت ماکارونی هم نداشت فقط پر ذرت و نخود فرنگی و هویییجججج بود 🫤
چرا وقتی ی بار ی غذایی خوب میشه بار دوم خرابش میکنن
#پیام_شما
سلام عزیزم
میخواستم از فلافل و پک یلدا و همچنین پیتزایی که این هفته داده شد تشکر کنم
کاش از این نوع غذا ها بازم گذاشته بشه
درسته پیتزا توزیع کردنش خیلی طول کشید ولی به نسبت خوب بود
ممنونم
#پیام_شما
سلام وقتتون بخیر
امروز سلف پردیس کتلت کم اومد جاش مرغ دادن بهمون
یعنی چی که کم اومده
مگه به تعداد نمیارن یا نگاه نمیکنن کی چی رزرو کرده؟
من اگه مرغ میخوردم که رزرو میکردم
#پیام_شما
سلام وقتتون بخیر
امیدوارم برای ترم های آینده سریعتر فکری برای دانشکده پرستاری بشه.
با ورودی های جدید خیلی شلوغ شده ،
سلف آقایان واقعا خیلی کوچیکه و مجبوریم تو هم تو هم غذا بخوریم یا تو این سرما باید بیایم داخل حیاط غذا بخوریم و واقعا جا نیست.😕
#پیام_شما
میشه لطفا پیگیری کنید کنار کشک بادمجون خیار شور نذارن چون هم خیارشور روغنی و چرب میشه و هم مزه شورش به کشک بادمجون سرایت میکنه و مزه‌اش رو خراب میکنه
#پیام_شما
👎32👍25
Signed هاوڕاز
Showing the 12 most recent of 19 posts we hold for @Motalebat_muq. 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
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.
Mentions
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.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“°شفاف سازی و مطالبات Muq°” (@Motalebat_muq), 1,066 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Motalebat_muq.
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.
