13 measurements spanning 12 days, net +124. 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 17,117–17,279 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 19:34
17,260
+27
16 Aug 2026, 20:12
17,233
-7
15 Aug 2026, 10:37
17,240
+16
14 Aug 2026, 03:37
17,224
+4
12 Aug 2026, 18:27
17,220
-6
11 Aug 2026, 19:32
17,226
-3
10 Aug 2026, 23:02
17,229
+8
10 Aug 2026, 00:51
17,221
+21
9 Aug 2026, 00:51
17,200
+24
7 Aug 2026, 23:56
17,176
+36
6 Aug 2026, 22:00
17,140
+4
6 Aug 2026, 02:30
17,136
no change
6 Aug 2026, 02:22
17,136
first reading
Engagement
42 posts held, back to 25 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 23 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
16.7%
avg views ÷ 17,260 subscribers
Avg views / post
2,880
42 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
42
of 42 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 17 August 2026
Posts held
42 (25 July 2026 – 17 August 2026)
Views total
120,910
Reactions total
1,342
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Aug 2026, 17:24 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
2h 53m
Average length
28m 50s
Measured directly from 6 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
1,155 reactions across 36 posts, in 22 distinct kinds. The most used accounts for 35.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
414
35.8%
custom 5422748398518301870
302
26.1%
🔥
111
9.61%
❤🔥
69
5.97%
🕊
52
4.50%
🤩
43
3.72%
🏆
37
3.20%
🤓
31
2.68%
👏
21
1.82%
🥰
15
1.30%
⚡
11
0.952%
🙏
11
0.952%
🐳
8
0.693%
💘
8
0.693%
😍
5
0.433%
🤝
4
0.346%
🦄
4
0.346%
😘
3
0.26%
🆒
2
0.173%
👍
2
0.173%
2 further kinds
2
0.173%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 42 of the 42 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 1,342reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 25 July 2026 to 17 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
9
across the posts below
Posts paid on
8
of 42 we hold a reading for · 19%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @spbuniversity1724. 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 42 most recent posts we hold for this entry, published 25 July 2026 to 17 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.
😧48 тонн — это только одна поставка
СПбГУ снова бьёт рекорды: в зону проведения СВО доставлена очередная партия гуманитарной помощи. А общий объём грузов уже перешагнул отметку в 500 тонн.
Мы даже отправили целую фуру с музыкальной и световой аппаратурой для образовательных учреждений ЛНР и ДНР.
❗️Кстати, прошлый прорыв был в марте 2026 — 37 тонн
Достижение количественных показателей не является основной целью Са…
#Первокурсникам_СПбГУ
Первый переезд в Питер — это уже сюжет для мини‑сериала. Мы превращаем его в чёткую инструкцию😉
Маршруты до кампуса СПбГУ:
🟣Из Пулково — чтобы город сразу показал себя во всей красе
🟡От Московского вокзала — классический старт для любителей атмосферы центра
🔴От Ладожского вокзала — простой и надёжный маршрут к новому этапу
Сохраните пост: пусть первый путь станет частью вашей студенческой …
Что, если за привычными фасадами старинных домов прячутся судьбы испанцев, которые однажды выбрали Россию?
О людях, чьи имена редко попадают в учебники, но дела стали частью города, узнаем из лекции преподавателя Школы иностранных языков и перевода СПбГУ Евгении Помирчей.
📲Всё самое важное — в MAX
🗺Погружение в профессию: первокурсники ПИШ СПбГУ прошли геологическую практику
Для студентов это были не просто учебные дни, а настоящее знакомство с отраслью. Ребята уверенно научились определять типы камней, фиксировали данные и замечали важные закономерности.
Особенно универсантам запомнился момент, когда они впервые извлекали окаменелость из породы — такой опыт не получишь из книг🔎
❗️Выпускники программы «Нефт…
🕺Переключаемся на волну дайджеста мероприятий — будет активно, ярко и интересно
17 августа
🗓Книжно‑иллюстративная выставка «Леонид Андреев: страницы жизни и творчества. К 155‑летию со дня рождения» в Научной библиотеке имени Горького СПбГУ, которая раскроет ключевые вехи биографии и особенности художественного мира писателя
18 августа
🗓V Летняя школа преподавателя ВШМ СПбГУ, где участники освоят приёмы кинодрамат…
😉Не ждите, пока возможности найдут вас — ловите их прямо сейчас! В этой подборке только те проекты, где реально можно проявить себя.
✅Летний образовательный онлайн-интенсив «Студенческий ЦЕХ» — ваш шанс заглянуть «за кулисы» атомной отрасли и понять, как устроена работа в «Росатоме»
➡️Что получите: практический опыт и сертификат при активном участии
📨Регистрация до 17 августа
✅Data Dojo от Яндекса — встреча ML‑ко…
#Первокурсникам_СПбГУ
😧Когда вы из другой страны, собрать все необходимые документы для поступления кажется очень сложной задачей.
Не переживайте — мы всё разложили по полочкам! Наши карточки ответят на часто задаваемые вопросы. А пока — немного базовой информации для старта:
🟣По квоте: следите за порталом «Образование в РФ для иностранных граждан», как только статус заявки в личном кабинете изменится на «направле…
✌8 млн рублей и идеи студентов СПбГУ превращаются в реальные проекты
Победители «Студенческого стартапа» доказали: будущее уже здесь. Их разработки готовы менять мир🌍
Среди этих крутых ребят:
🟣Алёна Прохоренко — разработала удобрение, поддерживающее принципы устойчивого земледелия
🟡Дмитрий Кундиков и команда — создали нейросеть «СПЕКТРА» для выявления патологий лёгких
🔴Афина Пшеничникова — запустила AI‑сервис NE…
🙌Мечта об учёбе в России стала ближе: на фестивале «Россия: История. Знания. Люди» в Сан‑Паулу более 550 человек познакомились с СПбГУ
Специалисты Центра языкового тестирования Университета дали понятные ответы на все вопросы о поступлении.
Мероприятие организовано при поддержке Фонда «Моя история» и Минпросвещения России.
Вспоминаем нашу работу в ролике, а подробности — в отчёте о ректорском совещании👨💻
📲Всё са…
#ЦитатаДня
💬Студентка СПбГУ Екатерина Волошенкова (филологический факультет) изучает немецкоязычные газеты СССР: через лексику и визуал она узнаёт, как люди сохраняли свою идентичность.
О редкой программе, деятельности в СНО и неожиданных открытиях — в нашем интервью👍
📲Всё самое важное — в MAX
❤️Видео заряжено на любовь
Алекса Филипович приехал учиться в СПбГУ из Сербии, и именно в стенах Университета родилась его новая история. Здесь он встретил Оксану — свою будущую супругу.
Каждый кадр наших выпускников (факультет международных отношений) — напоминание: в СПбГУ сбываются не только академические, но и личные мечты🤌
📲Всё самое важное — в MAX
💫Картон, бумага, скотч — получается настоящее волшебство
В каждой поделке — кусочек тепла, в каждой улыбке ребёнка — общая победа наших волонтёров.
Вместе мы вдохновляем и делаем мир счастливее🫶
📲Всё самое важное — в MAX
❤12🥰2🙏2custom 54227483985183018702👍1🤝1
Showing the 12 most recent of 42 posts we hold for @spbuniversity1724. 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.
Citation-graph rank
Citation-graph rank — 17,852 of 1,481,306entries 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.
Mentions
Named by 28 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“Что там в СПбГУ” (@spbuniversity1724), 17,260 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/spbuniversity1724.
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.
