5 measurements spanning 6 days, net +80. 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 6,772–6,876 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 06:35
6,864
+32
10 Aug 2026, 08:33
6,832
+42
7 Aug 2026, 10:28
6,790
+6
7 Aug 2026, 06:15
6,784
no change
7 Aug 2026, 06:09
6,784
first reading
Engagement
6 posts held, back to 15 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 10 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
30.8%
avg views ÷ 6,864 subscribers
Avg views / post
2,120
6 posts measured
Reaction rate
0.67%
reactions ÷ views · ER floor
Posts in window
6
of 6 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 6 August 2026
Posts held
6 (15 July 2026 – 6 August 2026)
Views total
12,690
Reactions total
85
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:44 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.
Reaction mix
85 reactions across 6 posts, in 10 distinct kinds. The most used accounts for 43.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
37
43.5%
👏
11
12.9%
🔥
9
10.6%
🏆
7
8.24%
❤🔥
5
5.88%
😍
5
5.88%
👍
4
4.71%
😁
3
3.53%
🤩
3
3.53%
🥰
1
1.18%
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 85reactions 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 15 July 2026 to 6 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.
🎮Цифровые двойники, нейросети и реальные роботы: как прошёл Студкемп Яндекса для студентов ВГУ
Студенты ФКН Александр Лузин, Артём Рашевский, Мария Стрельникова, Иван Червоный и Илья Эктов приняли участие в Студкемпе Яндекса «Промышленная робототехника», который прошёл с 13 по 24 июля в Екатеринбурге на базе УрФУ.
Студкемп – это бесплатный очный интенсив для студентов ИТ-направлений со всей России от экспертов Янде…
✍️Представители Центра карьеры ВГУ посетили производство предприятия АО «Центр аддитивных технологий», стали наблюдателями процессов 3D-сканирования изделий и 3D-печати металлических изделий методом селективного лазерного плавления и договорились о карьерном сотрудничестве.
АО «Центр аддитивных технологий» был создан в 2014 году при поддержке Министерства экономического развития РФ и Правительства Воронежской област…
🟦🟦🟦🟦🟦🟦 ✉️ Студентка ВГУ Дарья Танчук в рамках проекта «Твой Ход» создала по-настоящему интересный проект «Молток»
🔵Уже сейчас на площадке вышло первое интервью, посвящённое одной из интересных профессий. А теперь команда проекта запустила собственный сайт с профориентационным тестом!
❓Нужно ответить на несколько вопросов, после чего искусственный интеллект проанализирует результаты, подскажет подходящие профессии и…
⚡️17 ПРИЗОВЫХ МЕСТ — НАША ГОРДОСТЬ! ⚡️
Сборная ВГУ блестяще выступила на межвузовской Универсиаде Воронежской области и доказала, что наши студенты — лучшие не только в учебе! 🏆
Соревнования длились целый учебный год (с сентября по июнь). Соперничать пришлось с 2500 спортсменами из 14 вузов города. И мы снова в топе! 💪
Копилка достижений ВГУ:
🥇4 золотых медали
🥈6 серебряных наград
🥉7 бронзовых призов
Золото взяли…
🐈⬛Продолжаем рассказ о семестре в LSPR (Джакарта, Индонезия)
В предыдущем посте мы начали рассказывать об опыте нашей студентки 3‑го курса направления «Политология» Анастасии Корнеевой, которая проходит обучение по обмену в LSPR Communication and Business Institute. Сегодня — подробности её достижений и главные выводы.
Достижения за семестр:
💠 успешно прошла mid terms (промежуточное тестирование);
💠 договорилась с…
В Центре знаний «Машук» прошло обучение тренеров спортивных клубов и секций университетов России «Тренеры Универов».
🕐В течение нескольких дней тренеры студенческих спортивных клубов, преподаватели и менеджеры спортивных лиг со всей страны работали над развитием профессиональных компетенций, обмениваться опытом и обсуждали современные подходы к развитию студенческого спорта.
✔️Главная цель – освоить современные под…
❤8🔥3👍2😁1
Showing the 6 most recent of 6 posts we hold for @vsumain. 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.
Citation-graph rank
Citation-graph rank — 574,243 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
Мой и твой Воронеж @mtv36 · 186,264 Telegram ranks this channel #31 of 42 here — alongside 41 others — read 11 August 2026
Т-Воронеж | Типичный | Новости Воронежа @typicalvoronezh · 374,439 Telegram ranks this channel #43 of 66 here — alongside 65 others — read 10 August 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“ВГУ” (@vsumain), 6,864 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/vsumain.
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.