Music — 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 29 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
5 measurements spanning 55 days, net -3. 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 52–55 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Oct 2026, 15:16
52
-1
27 Aug 2026, 04:38
53
-1
19 Aug 2026, 17:06
54
-1
11 Aug 2026, 17:42
55
no change
10 Aug 2026, 19:02
55
first reading
Engagement
12 posts held, back to 12 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 12 posts for this entry, the most recent from 26 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10m 31s
Average length
3m 30s
Measured directly from 3 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
62 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 66.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
41
66.1%
❤🔥
6
9.68%
🔥
6
9.68%
👍
4
6.45%
👏
4
6.45%
🤣
1
1.61%
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 10 of the 12 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 12 October 2025 to 26 February 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.
درود خدمت دانشجویان عزیز
🎵باتوجه به اعلام نتایج انتخابات کانون موسیقی اعضای اصلی این کانون به شرح ذیل میباشد 🎵:
رضارضائی
نیکان بهاری
آروین نوری پور
امیرمحمد شیرزاده
آبتین حشمتی
امید است با همراهی شما دانشجویان اهل هنر و فرهیخته سطح فرهنگی و هنری دانشکده به بالاترین مراتب خود برسد.
🎼
https://t.me/caspianmusic1
سلام دوستان وقت بخیر
رای گیری کانون های فرهنگی موسیقی و فیلم و عکس شروع شده
دانشجویان که قبلا در سامانه cultural.ut.ac.ir عضو این کانون ها شده بودند میتونند رای بدن
آدرس سایت cultural.ut.ac.ir
فقط تا امروز عصر مهلت شرکت در رای گیری هست
عزیزان لطف میکنید شرکت کنید در رای گیری تا این دو کانون برای دانشکده ما تشکیل شود.
@caspianmusic1
🎼روز دانشجو🎼
به مناسبت فرارسیدن ۱۶ آذر، روز دانشجو، کانون موسیقی دانشکده این روز پرافتخار را به همه شما دانشجویان پرتلاش، اندیشمند و آیندهساز تبریک میگوید.
امید که صدای تلاشهایتان همچون نغمهای ماندگار در مسیر رشد و پیشرفت کشور طنینانداز شود.
برای تکتک شما آرزوی موفقیت، آرامش و لحظاتی سرشار از زیبایی و الهام داریم.
@caspianmusic1
🎼درود خدمت دانشجویان عزیز 🎼
دانشجویانی که علاقه مند به حضور و همکاری در کانون موسیقی دانشکده هستند می توانند از طریق
سایت
https://cultural.ut.ac.ir/
درخواست کاندیداتوری خودشان را ثبت کنند تا در اسرع وقت انتخابات این کانون نیز برگزار شود .
https://t.me/caspianmusic1
📣دانشجویان دانشکده فنی کاسپین
از شما دعوت می کنیم تا به جمع کانون های هنری دانشکده فنی کاسپین بپیوندید
کانون موسیقی و کانون فیلم و عکس دانشکده، فضایی هستند برای پرورش استعداد های هنری در کنار تحصیل
برای عضویت از طریق سامانه نگارستان در لینک زیر اقدام کنید و درخواست عضویت خود را ثبت کنید
🌐 cultural.ut.ac.ir
@Fanni_Caspian
تاسیس کانون موسیقی و برگزاری انتخابات این کانون
درود خدمت دانشجویان عزیز
امروز مورخ ۱۴۰۴/۸/۱۲کانون موسیقی دانشکده فنی کاسپین به طور رسمی پس از ۶ سال دوباره تاسیس شد و انشالله با یاری و همت شما دانشجویان هنرمند و کوشا بتواند جایگاه هنری قابل و در شأن دانشجویان دانشکده فنی کاسپین را در فضای این دانشکده فراهم کند.
دانشجویان عزیز لطف بفرمایند در سامانه cultural.ut.ac.ir درخواست عضویت برای این کانون زده تا با به حد نصا…
🎵 آغاز به کار کانون موسیقی دانشکده فنی کاسپین
به اطلاع دانشجویان گرامی میرساند،
کانون موسیقی دانشکده فنی کاسپین با هدف شناسایی، پرورش و گردهمآوردن استعدادهای موسیقایی دانشجویان، فعالیت رسمی خود را آغاز کرده است.
این کانون محلی است برای همافزایی هنرمندان ،برگزاری برنامههای موسیقایی، کارگاههای آموزشی و ایجاد فضایی پویا برای رشد فرهنگی و هنری دانشجویان
کانال کانون موسیقی دانشکده فنی کاسپین
@Fanni_Caspian
Showing the 12 most recent of 12 posts we hold for @caspianmusic1. 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“کانون موسیقی فنی کاسپین” (@caspianmusic1), 52 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/caspianmusic1.
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.