Education — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
9 measurements spanning 66 days, net +167. 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 195–414 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 17:18
388
-1
2 Oct 2026, 09:57
389
+13
16 Sept 2026, 16:36
376
+10
8 Sept 2026, 12:40
366
+33
30 Aug 2026, 22:15
333
+35
24 Aug 2026, 20:24
298
+78
16 Aug 2026, 16:58
220
-1
8 Aug 2026, 10:33
221
no change
8 Aug 2026, 01:30
221
first reading
Engagement
7 posts held, back to 31 March 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 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 7 posts for this entry, the most recent from 28 May 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
87 reactions across 6 posts, in 8 distinct kinds. The most used accounts for 46.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
40
46.0%
🔥
20
23.0%
👍
13
14.9%
🏆
5
5.75%
🎉
3
3.45%
😁
3
3.45%
👏
2
2.30%
💔
1
1.15%
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 7 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 87 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 31 March 2026 to 28 May 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.
Dear Students and Faculty,
🎉 We are glad to announce the end of Academic Tutorship activities for [S26] semester. Throughout the past four months, 13 Academic Tutors conducted 60 recaps in 15 different disciplines, involving 240 unique students and reaching the maximal attendance of 79 students.
🤝 All such achievements would be impossible without our honorable Academic Tutors. That is why we deeply thank every sing…
Dear Students (1st Year),
😔 We understand that second-year mathematical disciplines: Probability & Statistics and Differential Equations - cause the greatest number of difficulties to bachelor students. We do not wish to repeat the colossal number of retakes: last year over 130 students have been sent to the 1st retake of Prob&Stat.
‼️ That is why Academic Tutorship repeats the previous year practice and invites yo…
Dear Students,
❗ Please, be informed that due to internal issues the Academic Tutorship bot is currently down. We are actively working on fixing the issues and relaunching the bot.
📚 Till the time of recovery, we provide the list of all planned recap sessions. In case of any updates, you will be notified through this channel and local means of communication.
Year 1
Theoretical Computer Science: Final Exam Recap
Da…
Dear Students,
💚 We understand that the semester is coming to an end and that you have started preparation for your exams. However, even such a stressful setting is not solid ground for disturbing lectures and educational process in general.
📈 On behalf of Academic Tutorship, we sincerely ask you to follow common subordination and the Internal Regulations of Innopolis University. This way, you will help us to maint…
👋 Dear students!
💚 After countless hours of development and thousands of liters of coffee, Academic Tutorship and one-zero-eight are ready to introduce you to... the Academic Tutorship bot!
📅 Through the bot, you can keep track of all Academic Tutorship study sessions in the subjects that interest you and receive notifications and reminders about upcoming meetings.
‼️ The bot is still in active development, so ple…
Dear Students and Faculty,
🔥 We deeply thank you for your interest in Academic Tutorship. This channel will be used to communicate general news and important updates of our adaptation program.
Academic Tutorship in IU 😎
Русскоязычная версия
Showing the 7 most recent of 7 posts we hold for @Academic_Tutorship. 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.
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 12 October 2026 — this
entry's latest reading, not the date you are reading this.
“Academic Tutorship in IU” (@Academic_Tutorship), 388 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/Academic_Tutorship.
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.