Other / unclassifiable — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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
14 measurements spanning 50 days, net +41. 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 5,100–5,155 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Sept 2026, 13:17
5,149
+16
15 Sept 2026, 05:37
5,133
+2
11 Sept 2026, 03:41
5,131
+20
5 Sept 2026, 19:42
5,111
-7
1 Sept 2026, 15:24
5,118
+10
29 Aug 2026, 17:47
5,108
-2
26 Aug 2026, 22:45
5,110
-2
24 Aug 2026, 05:46
5,112
+1
20 Aug 2026, 16:02
5,111
+5
17 Aug 2026, 10:46
5,106
-1
14 Aug 2026, 02:15
5,107
+1
10 Aug 2026, 13:07
5,106
-4
7 Aug 2026, 15:12
5,110
+2
6 Aug 2026, 22:02
5,108
first reading
Engagement
6 posts held, back to 27 July 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 8 pages 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 6 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 57s
Average length
1m 59s
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
149 reactions across 6 posts, in 8 distinct kinds. The most used accounts for 30.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
45
30.2%
❤
43
28.9%
🔥
41
27.5%
⚡
9
6.04%
❤🔥
6
4.03%
😁
2
1.34%
🤔
2
1.34%
🤣
1
0.671%
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 6 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 149 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 27 July 2026 to 4 August 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.
🔥Выпускники МГТУ им. Баумана — ваш выход на одну из главных площадок металлообработки!
С 6 по 9 октября в «Крокус Экспо» пройдёт выставка NMF или Национальный Металлообрабатываюший Форум — ключевое событие рынка, где формируются тренды и заключаются стратегические партнёрства. Более 7 тысяч профи из 12 стран и почти всех регионов России соберутся, чтобы увидеть и обсудить передовые технологии и тренды. И самое главн…
✨ Референс-визит в Выксу завершен.
За эти два дня участники Политехнического общества выпускников познакомились с работой одного из самых современных металлургических предприятий России, увидели производственные процессы изнутри, обсудили современные технологии с экспертами и смогли обменяться опытом друг с другом.
Но каждый референс-визит — это не только про предприятие.
Это про людей, профессиональное общение и …
🔥 Первые впечатления уже появляются.
Наш визит идет полным ходом.
Каждый производственный участок — это возможность увидеть не отдельную технологию, а целую систему, где оборудование, цифровые решения и люди работают как единый механизм.
Участники активно задают вопросы, обсуждают увиденное и сравнивают производственные процессы со своим опытом.
Именно ради таких профессиональных наблюдений и создаются референс-визит…
📍 Выкса, мы на месте!
🏭 Главный день референс-визита начинается!
Сегодня участникам предстоит познакомиться с одним из самых современных металлургических предприятий России — завод ОМК.
В программе:
🔹 литейно-прокатный комплекс;
🔹 производство труб большого диаметра;
🔹 современные технологии цифрового контроля качества;
🔹 применение искусственного интеллекта в промышленности;
🔹 встреча с Александром Мунтиным — дирек…
Продолжаем рассказывать о программе Наставничества 💜
Когда-то МГТУ им. Н.Э. Баумана стал местом, где начался ваш профессиональный путь: здесь вы получили знания, нашли друзей, сделали первые шаги в карьере. Спустя годы появляется возможность вернуться в университет уже в новой роли: не студента, а наставника.
Быть ментором — значит делиться опытом, поддерживать тех, кто только начинает свой путь, и помогать студент…
🎙️ НАЙТИ УПАВШУЮ ЗВЕЗДУ: КАК ВСТРЕТИЛИ НАШЕГО ГЕРОЯ НА ЗЕМЛЕ!
🛰️ Вчера спускаемый аппарат «Союз МС-28» на борту с бауманцем Сергеем Кудь-Сверчковым мягко приземлился в казахской степи. И встречали его наш ректор Михаил Валерьевич Гордин, бауманец - космонавт Олег Артемьев и те самые выпускники, которые провожали этот экипаж на орбиту ещё в ноябре 2025-го.
Они стали участниками экспедиции "Найти упавшую звезду" и зам…
❤12👍10🔥9⚡3🤔2
Showing the 6 most recent of 6 posts we hold for @alumnibmstu. 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 2 registered channels — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
МГТУ им. Н.Э. Баумана @bmstu1830 · 29,251 Telegram ranks this channel #11 of 82 here — alongside 81 others — read 8 September 2026
Приёмная комиссия МГТУ им. Н.Э. Баумана @pk_bmstu · 23,991 Telegram ranks this channel #45 of 83 here — alongside 82 others — read 16 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Центр выпускников МГТУ им. Н.Э. Баумана” (@alumnibmstu), 5,149 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/alumnibmstu.
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.
