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 26 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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
7 measurements spanning 59 days, net -7. 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 129–138 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Oct 2026, 14:39
130
-2
10 Sept 2026, 23:18
132
-1
2 Sept 2026, 21:08
133
-1
27 Aug 2026, 02:55
134
-2
14 Aug 2026, 15:38
136
-1
8 Aug 2026, 23:17
137
no change
7 Aug 2026, 01:15
137
first reading
Engagement
18 posts held, back to 31 October 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 18 posts for this entry, the most recent from 15 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
27s
Average length
27s
Measured directly from 1 video 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
68 reactions across 16 posts, in 2 distinct kinds. The most used accounts for 91.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
62
91.2%
💔
6
8.82%
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 16 of the 18 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 68 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 31 October 2025 to 15 July 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.
💡 فکر میکنی مخترع شدن کار خیلی سخت و پیچیدهایه و فقط به آدمهای خاصی تعلق داره؟
✅میز دانشجویی علوم پزشکی بنیاد نخبگان آذربایجان شرقی «فکراتو»، اولین رویداد از سلسله کارگاههای مسیر خلاقیت و نوآوری را برگزار میکند.
🌟اگر همیشه دوست داشتی ایدههای ذهنیات را به واقعیت تبدیل کنی اما مسیرش را بلد نبودی، این کارگاه نقطه شروع توست.
📌 موضوع کارگاه اول: چگونه ایده اختراع پیدا کنیم؟
🗓 تاریخ:یکشنبه ۱۸ مرداد ماه ۱۴۰۵
…
🎓✨بازدید از موزه تاریخ پزشکی دانشگاه علوم پزشکی تبریز
🏨🧳دنیای تاریخ پزشکی تبریز، جایی که خیلی از دانشجویان علوم پزشکی آذربایجان شرقی هنوز آن را ندیدهاند و با اصالت و جایگاه علمی تبریز، دیار ستارخان و باقرخان آشنا نشدهاند.
✅ثبتنام از طریق کانال تلگرامی فکراتو و پیام به @Sadra_khodaei
❌تاریخ پایان ثبتنام: ۲۵ تیر ماه
⚠️ظرفیت بسیار محدود!
🏰مکان: موزه دانشگاه علوم پزشکی تبریز 📍
🕙زمان: شنبه ۱۰ مرداد ماه ۱۴۰۵، ساعت…
🖤 بسم رب الحسین (ع)
با فرارسیدن ماه حزن و اندوه اهلبیت (ع)، بسیج دانشجویی دانشکده کشاورزی برگزار میکند:
🌹 ایستگاه صلواتی به مناسبت ایام محرم
از تمامی دانشجویان، اساتید و کارکنان محترم دعوت میشود با حضور در این محفل معنوی، یاد و نام سیدالشهدا (ع) و یاران باوفایش را گرامی بدارند.
📍 مکان: محوطه دانشکده کشاورزی
🕙 زمان: دوشنبه۱۴۰۵/۰۴/۰۱ از ساعت ۱۰ صبح
منتظر حضور گرم شما هستیم. 🖤
التماس دعا 🖤
@khat_keshavarzi
🧠 سلسله کارگاه های فکراتو (میز دانشجویی علوم پزشکی بنیاد نخبگان آذربایجان شرقی)
📚 کارگاه دوم: آگاه سازی و راه های پیشگیری و درمان Hpv
📢 مدرس خانم دکتر سید رسولی، هیئت علمی بازنشسته دانشگاه علوم پزشکی تبریز
🕙زمان: چهارشنبه، ۲۰ خرداد ماه ۱۴۰۵ ساعت ۹:۳۰
🏢مکان: محله اهراب، خانه کمپانی، بنیاد نخبگان آذربایجان شرقی.
✅برای ثبت نام به ادمین کانال پیام دهید. (ثبت نام رایگان)
📱تلگرام
📱اینستاگرام
📱 بله
⚜️کاری از میز دانشج…
🎊 به مناسبت ولادت با سعادت حضرت فاطمه زهرا (س)
نهاد نمایندگی رهبری واحد علوم پزشکی تبریز
برگزار می کند .🎊
(جشن روز مادر و روز زن )
😍 برنامه های ویژه جشن روز مادر 😍
👣 پیاده روی
🎤مولودی خوانی مداح اهل بیت
🗣 سخنرانی
🎁 به همراه برگزاری مسابقه و اهدای جوایز
📍مکان : پارک شمیم پایداری یاغچیان
🕌 حرم شهدای گمنام
⏰ زمان : چهارشنبه ۱۹ آذر - ساعت ۱۴ تا ۱۷
📌برای ثبت نام جهت حضور در جشن
ب…
✳️ جلسه و نشست هم اندیشی آذرماه ۱۴۰۴
شورای مرکزی نهاد نمایندگی مقام معظم رهبری
در دانشگاه واحد علوم پزشکی تبریز
👤 با حضور :
مسئول نهاد نمایندگی رهبری در واحد علوم پزشکی تبریز
حجت الاسلام و المسلمین اسمعیل پور
دبیران و دانشجویان فعال کانون های مرتبط نهاد رهبری
#هیئت_حسینی
#کانون_قرآن_عترت_نماز
#کانون_مهدویت
🆔@Quran_medical_tbz_iaut
ناحله الجسم یعنی..💔😔
#فاطمیه 🥀
🕌#کانون_مهدویت
🗞#نشریه_مشکات
📮@meshkat_iaut
❤4
Showing the 12 most recent of 18 posts we hold for @meshkat_iaut. 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 1 registered channel — 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
@meshkat_iaut 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.
@sadegi_2003 named in 2 posts, 9 August 2026 – 10 August 2026
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.
“𓆩 مِـشــکــات 𓆪” (@meshkat_iaut), 130 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/meshkat_iaut.
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.