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 12 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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
15 measurements spanning 41 days, net +236. 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 7,873–8,179 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 19:40
8,144
+3
13 Sept 2026, 22:01
8,141
+8
9 Sept 2026, 18:38
8,133
+16
4 Sept 2026, 17:15
8,117
+21
1 Sept 2026, 01:05
8,096
+33
29 Aug 2026, 10:37
8,063
+74
26 Aug 2026, 01:04
7,989
+15
23 Aug 2026, 10:28
7,974
+14
19 Aug 2026, 20:22
7,960
+13
16 Aug 2026, 20:02
7,947
+15
13 Aug 2026, 11:18
7,932
-3
10 Aug 2026, 15:24
7,935
+15
8 Aug 2026, 01:37
7,920
+12
7 Aug 2026, 09:01
7,908
no change
7 Aug 2026, 08:54
7,908
first reading
Engagement
41 posts held, back to 3 August 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.3%
avg views ÷ 8,144 subscribers
Avg views / post
1,650
12 posts measured
Reaction rate
1.15%
reactions ÷ views · ER floor
Posts in window
12
of 41 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
41 (3 August 2026 – 28 August 2026)
Views total
19,800
Reactions total
228
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 19:32 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
13m 55s
Average length
1m 24s
Measured directly from 10 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
697 reactions across 41 posts, in 24 distinct kinds. The most used accounts for 61.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
426
61.1%
👍
88
12.6%
🔥
57
8.18%
⚡
23
3.30%
✍
19
2.73%
❤🔥
17
2.44%
😁
11
1.58%
🆒
8
1.15%
🐳
7
1.00%
🤪
7
1.00%
🤣
6
0.861%
🤝
5
0.717%
💋
4
0.574%
👌
3
0.43%
😎
3
0.43%
💊
2
0.287%
🗿
2
0.287%
🤓
2
0.287%
🥰
2
0.287%
😘
1
0.143%
4 further kinds
4
0.574%
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 41 of the 41 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 697 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 3 August 2026 to 28 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 41 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gmuushakova. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 41 most recent posts we hold for this entry, published 3 August 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Судомеханики (пока ещё будущие😉) построились на развод…
Первый из многих — сколько таких ещё будет в их курсантской жизни?
Точную цифру смогут подсказать разве что шестикурсники😅
А пока — равнение на мечту и курс на море! 🌊⛵️⚓️🛟🇷🇺
🔥🔥🔥 #ушаковкарф
Сегодня в Транспортном колледже прошёл смотр формы первокурсников — примерили, подтянулись, покрасовались! ✨
До 1 сентября ещё есть время довести всё до блеска, так что волноваться не о чем.
Совсем скоро у наших новобранцев начнётся самое интересное - учеба в Транспортном колледже Ушаковки!
Желаем каждому ярких, дружных и незабываемых курсантских лет! ⚓ 🔥🔥🔥
#ушаковкарф
Дорогие первокурсники Транспортного колледжа!
Поздравляем вас с поступлением и началом нового этапа в жизни! Впереди — интересная учёба, новые друзья и первые шаги в профессии.
Мы всегда рядом и готовы помочь по любым вопросам.
Сохраните себе полезные контакты 👇
📞 Приёмная ТК:
8 (8617) 76-79-75
📞 Деканат ТК:
8 (8617) 76-79-68
📧 Электронная почта: [email protected]
Ваши командиры рот по специальностям:
👤 Рогожкин Вячесла…
📢 Внимание, курсанты Морского колледжа! Важная информация о первых днях
🗓 27 августа (четверг)
⏰ 8:30 — плац Морского колледжа (рядом с 4 экипажем)
Организационный сбор: смотр формы и распределение по группам.
👔 Форма одежды — установленная.
🗓 28 августа (пятница)
⏰ 8:30 — плац Морского колледжа Уборка территории.
👕 Форма свободная, но обязателен головной убор.
🧤 С собой, по возможности: мешки для мусора и перчат…
Судоводители идут!
Пока только будущие 😉 — ещё не по форме, но шаг держат старательно, будто оргпериод уже позади и азы строевой освоены.
Удачи, ребята! Так же бодро, слаженно и дружно дошагать всем до 6 курса! ⚓️🌊💪🎓
#ушаковкарф
Не успели на установочное собрание? Это видео для вас✍️
Декан Судомеханического факультета Александр Игнатенко обращается к курсантам, которые не были на установочных собраниях, и рассказывает всю важную оргинформацию о начале учебного года 📹
Если остались вопросы — обращайтесь к командирам факультета:
⚓ Плавательные специальности (механики, электромеханики):
Олег Юрьевич Говоров — +7 (914) 709-05-93
⚓ Береговые …
Напоминаем: всё о форме одежды📌
До 1 сентября остаётся всё меньше времени, поэтому ещё раз публикуем важную информацию для первокурсников, которые скоро вольются в ряды курсантов Ушаковки. ❗️❗️❗️ Коротко о погонах:
📌ТК — погоны для Транспортного колледжа (все специальности).
📌МК — погоны для Морского колледжа (все специальности).
📌НШ — погоны для Навигацкой школы.
📌Погоны для университета (высшее образование, все спе…
Первокурсники ИМТМЭиП, это видео для вас! 🎓
Если вы не смогли присутствовать на установочном собрании для береговых специальностей — не переживайте: всю самую важную информацию мы собрали в одном видео.
Директор Института морского транспортного менеджмента, экономики и права, кандидат юридических наук Ксения Голубкина рассказывает, как пройдут первые две недели учёбы: как будет организован учебный процесс, к кому обр…
Доброго утра и отличной рабочей недели всем желает курсант 3-й роты, будущий судоводитель Даниил Шушкевич — сегодня он на посту дежурного по университету 🤝
Пусть вахта пройдёт спокойно, а курс всегда будет верным! ⚓️ 🌊 🤝💪👍⛵️🛟📖📚🎓 #ушаковкарф
Сегодня — День Государственного флага России 🇷🇺
Утро в университете началось с торжественного построения. У памятника великому флотоводцу Федору Ушакову курсанты подняли флаг России, прозвучал гимн.
Для моряка флаг — не просто символ, это напоминание о доме.
Пусть под этим флагом всегда будет такое же ясное небо, как сегодня и, конечно же, только попутный ветер ⚓🇷🇺
#ПоднятьФлаг
#гмуушакова #ушаковкарф
🇷🇺 22 августа мы отмечаем День Государственного флага Российской Федерации🇷🇺
Бело-сине-красный триколор имеет более чем трёхвековую историю: впервые он был поднят при царе Алексее Михайловиче на первом русском военном корабле «Орёл», а Пётр I определил его как флаг торгового флота России.
Так что наш флаг — по происхождению морской.
Современный статус триколор обрёл 22 августа 1991 года — именно эта дата стала Днём…
📌 ПЕРВОКУРСНИКИ, ВАЖНО! НАПОМИНАЕМ ПРО УСТАНОВОЧНЫЕ СОБРАНИЯ В УШАКОВКЕ⚓️
Здесь расскажут всё о начале обучения, документах, форме, распорядке и первых учебных днях.
🎓 ВЫСШЕЕ ОБРАЗОВАНИЕ (очная форма)
✔️22 августа, 10:00 — актовый зал «Управление водным транспортом и гидрографическое обеспечение судоходства», «Технология транспортных процессов», «Государственное и муниципальное управление», «Экономика», «Юриспруден…
❤7❤🔥1👍1🔥1
Showing the 12 most recent of 41 posts we hold for @gmuushakova. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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.
Новороссийск Life @life_nvrsk · 37,229 Telegram ranks this channel #24 of 42 here — alongside 41 others — read 1 September 2026
Супер Новости Новороссийска @novosti_novoross · 74,869 Telegram ranks this channel #38 of 74 here — alongside 73 others — read 19 August 2026
ЧП Новороссийск @chpnvrsk_official · 167,865 Telegram ranks this channel #39 of 58 here — alongside 57 others — read 12 August 2026
Новороссийск ДТП@nvrsk_road @nvrsk_road · 48,889 Telegram ranks this channel #53 of 66 here — alongside 65 others — read 26 August 2026
Андрей Кравченко | Глава города-героя Новороссийска @kravchenko_glava_nvrsk · 65,059 Telegram ranks this channel #55 of 85 here — alongside 84 others — read 21 August 2026
Блокнот Новороссийск @bloknot_nvrssk · 31,214 Telegram ranks this channel #72 of 76 here — alongside 75 others — read 6 September 2026
This channel appears in 6 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“ГМУ им. адм. Ф. Ф. Ушакова” (@gmuushakova), 8,144 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/gmuushakova.
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.