4 measurements spanning 6 days, net -4. 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 53–59 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 05:16
54
-3
10 Aug 2026, 07:01
57
no change
7 Aug 2026, 22:50
57
-1
7 Aug 2026, 17:45
58
first reading
Engagement
13 posts held, back to 13 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 pageof 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 13 posts for this entry, the most recent from 14 December 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
21 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 90.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
19
90.5%
👍
2
9.52%
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 6 of the 13 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 13 October 2025 to 14 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
💠 بیانیه مشترک نهادهای دانشجویی دانشگاههای علومپزشکی اردبیل در پاسخ به حواشی به وجود آمده و اظهارنظرهای غیر اصولی در موضوع جشن روز دانشجو ۱۴۰۴
نهادهای دانشجویی دانشگاه علوم پزشکی اردبیل طی این بیانیه، خواستار پاسخ در خور دانشگاه نسبت به اظهارنظرهای نسنجیده شماری از رسانهها و نهادهای سیاسی شده و نسبت به هرگونه اعمال فشار و تلاش برای برکناری یا استعفا مدیریت محترم فرهنگی، اعلام موضع نمودند.
🆔 @kanoon_arums
متن کامل بیانیه مشترک نهادهای دانشجویی دانشگاههای علومپزشکی اردبیل در پاسخ به حواشی به وجود آمده و اظهارنظرهای غیر اصولی در موضوع جشن روز دانشجو ۱۴۰۴
به نام خدای هنر آفرین
روز دانشجو یادآور دانشجویانی است که در کنار وظایف دانشجویی خود و آگاه بودن به شرایط جامعه و کشور ،با شور و شوق دانشجویی خود مسیر پیشرفت کشور را هموارتر کردند و یادآور می شویم این شور و نشاط دانشجو با مطالبه گری و روحیه آزادی خواهی وی در منافات…
📸گزارش تصویری
نشست دانشجویی (از جرقه تا تجربه،تبیین مسیر کارآفرینی)؛دوشنبه ۱۹ آبان برگزار شد!✨
از آقای اتابک صدیق نمین ، دانشجوی فعالمون در حوزه کارآفرینی که با حضور گرمشون کلی تجربهی ناب کارآفرینی رو باهامون به اشتراک گذاشتن، بینهایت ممنونیم! 🌹
یادگرفتیم که:
✅چطور از ایدههای کوچیک، کسبوکارهای بزرگ بسازیم
✅با چالشهای مسیر چطور روبهرو بشیم
✅و مهمتر از همه... که هیچ چیزی غیرممکن نیست!
این نشست بهیادماندنی …
کانون کارآفرینی و استارتاپ فرهنگی (کاف) دانشگاه علوم پزشکی اردبیل برگزار میکند:
💡نشست دانشجویی: از جرقه تا تجربه، تبیین مسیر کارآفرینی
با حضور آقای اتابک صدیق نمین
💎 دانشجوی رشته پزشکی و دارنده مدال برنز المپیاد کارآفرینی کشور،پژوهشگر برتر کشوری و..
🔹روایتی از مسیر شکلگیری ایده، انتخاب عنوان طرح ومسیر ثبت طرح و تجربههای واقعی دانشجویان در عرصه کارآفرینی.
🗓زمان: دوشنبه ۱۹ آبان، ساعت ۱۰ تا ۱۲
📍 مکان: سالن ش…
سلام به همه نوآوران حوزه سلامت! 🌟
به جمع ما درکانال کاف (کارآفرینی) علوم پزشکی اردبیل خیلی خوش اومدید!❤️
اینجا محلیه برای اینکه ایدههاتون رو به پرواز دربیارید، با همفکرها آشنا بشید و از فرصتهای ناب کارآفرینی وکارگاه های مفیدش بهره ببرین💫💛
یک سلام ویژه به:
· ورودیهای جدید و پرانرژی و هم اعضای دیگ کانال دلتون رو به دریا بزنید! هر سوال، ایده یا پیشنهادی دارید، با ما در میون بذارید. قراره با هم کلی چیزای جدید یاد …
🔹کانون فرهنگی هنری کاف
کانون کارآفرینی و استارتاپ فرهنگی (کاف)
🌟 کانونی برای آینده شما
هدف کانون کاف، توانمندسازی دانشجویان در زمینههای کارآفرینی، فریلنسری و کسب درآمد است. این کانون فرصتی عالی برای یادگیری مهارتهای کاربردی و تجربه فعالیتهای جذاب و اثرگذار فراهم میکند.
✨ برخی از برنامههای کاف:
ورکشاپ یادگیری ICDL (مهارتهای هفتگانه کامپیوتر)
مصاحبه با مدال برنزی کارآفرینی علوم پزشکی اردبیل
پوسترسازی با هو…
Showing the 12 most recent of 13 posts we hold for @kanoon_kaf. 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.
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
@kanoon_kaf 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.
@kanoon_kaf_arums named in 4 posts, 11 August 2026 – 11 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“کانون کاف ( کارافرینی و استارتاپ فرهنگی)” (@kanoon_kaf), 54 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/kanoon_kaf.
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.
