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Channel

Новгородский университет

@news_novsu

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

5,900subscribers

+2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001331368374
TypeChannel
Username@news_novsu
Created22 April 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/news_novsu

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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 the other topics.

Growth

5,8976,0095,9536 August 2026 — 5,898 subscribers6 August 2026 — 5,897 subscribers9 August 2026 — 5,921 subscribers12 August 2026 — 5,931 subscribers15 August 2026 — 5,932 subscribers18 August 2026 — 5,939 subscribers21 August 2026 — 5,928 subscribers25 August 2026 — 5,952 subscribers28 August 2026 — 5,968 subscribers31 August 2026 — 5,998 subscribers3 September 2026 — 6,009 subscribers8 September 2026 — 6,007 subscribers12 September 2026 — 6,002 subscribers16 September 2026 — 6,001 subscribers25 September 2026 — 6,004 subscribers4 October 2026 — 5,979 subscribers10 October 2026 — 5,955 subscribers14 October 2026 — 5,944 subscribers17 October 2026 — 5,938 subscribers20 October 2026 — 5,934 subscribers23 October 2026 — 5,928 subscribers26 October 2026 — 5,925 subscribers29 October 2026 — 5,919 subscribers1 November 2026 — 5,910 subscribers7 November 2026 — 5,900 subscribers5,9006 August 20267 November 2026
25 measurements spanning 93 days, net +2. 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 5,880–6,026 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
7 Nov 2026, 03:255,900-10
1 Nov 2026, 07:595,910-9
29 Oct 2026, 01:325,919-6
26 Oct 2026, 08:065,925-3
23 Oct 2026, 13:165,928-6
20 Oct 2026, 07:565,934-4
17 Oct 2026, 18:265,938-6
14 Oct 2026, 14:475,944-11
10 Oct 2026, 19:385,955-24
4 Oct 2026, 17:375,979-25
25 Sept 2026, 04:576,004+3
16 Sept 2026, 13:016,001-1
12 Sept 2026, 23:146,002-5
8 Sept 2026, 14:416,007-2
3 Sept 2026, 15:596,009+11
31 Aug 2026, 02:575,998+30
28 Aug 2026, 07:195,968+16
25 Aug 2026, 03:435,952+24
21 Aug 2026, 11:285,928-11
18 Aug 2026, 09:125,939first reading

Engagement

51 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 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.61%
avg views ÷ 5,900 subscribers
Avg views / post
331
20 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
20
of 51 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
WindowRolling 30 days · latest post in window 4 November 2026
Posts held51 (3 August 2026 – 4 November 2026)
Views total6,624
Reactions total91
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 01:50 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
2m 07s
Average length
25s

Measured directly from 5 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

490 reactions across 46 posts, in 25 distinct kinds. The most used accounts for 51.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤25251.4%
🤩4910.0%
❤‍🔥244.90%
🔥214.29%
custom 5237829955978547322173.47%
😎173.47%
custom 5471883477219549006122.45%
custom 5312001713308191394102.04%
💯102.04%
😁102.04%
🥰102.04%
👏81.63%
👨‍💻81.63%
👍71.43%
👻71.43%
😱51.02%
✍30.612%
👀30.612%
😢30.612%
🤔30.612%
5 further kinds112.24%

Custom emoji. 3 of the rows above are 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 counts beside them are Telegram’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 51 of the 51 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 551 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 3 August 2026 to 4 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 20 posts held from the last 30 days (10.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 17:01 UTC210 views3 reactionsread 5 November 2026
Photo

🏀 Вместе мы — сила! У каждого коллектива есть своя история, общие цели и моменты. Для баскетбольной команды Новгородского университета «Витязи» таким объединяющим началом стала любовь к игре, командный дух и стремление к победе. Настоящий результат рождается только тогда, когда все действуют сообща! 🏆 О достижениях «Витязей» невозможно молчать — победа в «Финале восьми» Всероссийских соревнований АСБ дивизиона «Цен…

❤3

4 Nov 2026, 16:01 UTC220 views2 reactionsread 5 November 2026
Photo

🏆 Не количество денег делает нас богатыми, а умение ими управлять Финансовая команда НовГУ второй год подряд вошла в число лучших в стране. Университет стал победителем номинации «Лучшая финансовая команда страны» на IV Всероссийском форуме руководителей финансово-экономических служб образовательных и научных организаций, который прошёл в Финансовом университете при Правительстве РФ. — Университеты работают в меняю…

❤2

4 Nov 2026, 15:01 UTC231 views2 reactionsread 5 November 2026
Photo

👀 Параллелепипед или параллелограмм? Выбор предстоит непростой. В 2025 словом года в науке стал «искусственный интеллект». Студент или преподаватель Новгородского университета, научное сообщество ждёт твоего мнения — пройди опрос. ✨ Все подробности и место для твоего ответа здесь. На основе ответов будет определено наиболее популярное слово в науке в 2026 году, ✅ Самые горячие новости НовГУ только в МАХ. Подписыв…

❤2

4 Nov 2026, 14:01 UTC260 views3 reactionsread 5 November 2026
Photo

📖 Главное чтиво ноября! Это газета «Новгородский университет»: ➖ «Как инновационный центр НовГУ стал точкой сборки технологического суверенитета России»; ➖ Ректор «Макаровки» Сергей Соколов: «Правила жизни»; ➖ «Магия, смерть и береста Петровской эпохи»; ➖ «Прохожий, ты идёшь мимо меня»: что скрывают новгородские кладбища. Об этом и не только читай в удобном формате. ✅ Самые горячие новости НовГУ только в МАХ. Под…

❤3

4 Nov 2026, 13:01 UTC255 views3 reactionsread 5 November 2026
Photo

🥺 А твоей бабушке требуется пояснительная бригада? На занятиях проекта «Цифровая грамотность» представители старшего поколения научились как оплатить коммунальные услуги, перевести деньги, не выходя из дома Инициативу реализуют Центр подготовки кадров в сфере ИТ на базе кампуса «Школы 21» и Министерство цифрового развития Новгородской области. А с помощью специалиста школы Сергея Калмыкова пенсионеры освоили мобиль…

❤3

4 Nov 2026, 12:01 UTC256 views2 reactionsread 5 November 2026
Photo

🧐 Я швец, я жнец или я всё-таки на дуде игрец? Как выбрать профессию, если интересы выходят за рамки одной специальности: об этом рассказали на площадке центра «Онфим» для участников интенсива НовГУ «Врач-исследователь. Наука и медицина» На панельной дискуссии «Кем быть, когда будущее уже наступило?» школьники узнали: ▶️ Как личные интересы и семейные советы могут повлиять на выбор профессии — на примере истории в…

❤2

4 Nov 2026, 11:01 UTC268 views3 reactionsread 5 November 2026
Photo

📞 На тебя оформлен кредит в миллион рублей Не ведись на такие угрозы и узнай — почему люди часто попадаются на уловки телефонных мошенников. Кандидат психологических наук, доцент кафедры психологии НовГУ Анна Моисеева объяснила, как злоумышленники используют страх, чувство вины и эмоциональное давление, чтобы отключить критическое мышление. 🔗 Как распознать манипуляцию и что делать, если тебе позвонили аферисты чит…

❤3

4 Nov 2026, 10:01 UTC277 views2 reactionsread 5 November 2026
Photo

🤨 Один энергетик тебе или два другому? На образовательном интенсиве «Врач-исследователь. Наука и медицина», который прошёл в «Онфиме», участники изучили, как социальные сети формируют пищевые привычки поколения Z. Результаты исследования представили на научных дебатах: ➡️ Обоснование одной из команд: данные исследований говорят, что алгоритмы TikTok и вовлечённость пользователей объясняют до 54,5% различий в пищев…

❤2

4 Nov 2026, 08:01 UTC307 views6 reactionsread 5 November 2026
Forwarded from @minobrnaukiofficialPhoto

Уважаемые друзья! Поздравляю вас с Днем народного единства. Этот праздник символизирует сплоченность народов России и напоминает о долге и ответственности каждого перед судьбой Отечества. Сегодня патриотизм, любовь к Родине и стремление к созиданию объединяют нас для решения задач, направленных на дальнейшее процветание страны, укрепление ее позиций на международной арене. Предметом особой гордости служат выдающи…

❤4😁2

4 Nov 2026, 07:01 UTC339 views9 reactionsread 5 November 2026
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🇷🇺 Уважаемые студенты, преподаватели, сотрудники и партнёры Новгородского университета! От всей души поздравляю вас с одним из самых значимых и глубоких по смыслу государственных праздников нашей страны — Днём народного единства! Эта дата напоминает нам о героических страницах истории, когда сплочённость, гражданский долг и любовь к Отечеству становились щитом России перед лицом испытаний. Особенно символичен этот п…

❤9

3 Nov 2026, 17:01 UTC373 views5 reactionsread 5 November 2026
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👀 Я хочу посмотреть «Что нового?», понимаете? Не будем тебе препятствовать — включай свежий выпуск! Там мы обсудили: 🖤 Пчелиные семьи; ⭐️ Самострои; 🖤 Форум инноваций и технологий; ⭐️ и... Будь архитектором своей судьбы — выбирай просмотр «Что нового?». ✅ Самые горячие новости НовГУ только в МАХ. Подписывайся! #Что_нового_в_НовГУ| ✈️ Голосуй за канал

❤5

Showing the 12 most recent of 51 posts we hold for @news_novsu. 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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 8 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.

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.

Подслушано Великий Новгород
@pvn53 · 21,906
Telegram ranks this channel #6 of 22 here — alongside 21 others — read 21 September 2026
Великий Новгород - Свободный Информационный Портал
@freeportalvn · 43,598
Telegram ranks this channel #9 of 15 here — alongside 14 others — read 28 August 2026
ЧП53 Великий Новгород
@regionvn53 · 44,243
Telegram ranks this channel #13 of 20 here — alongside 19 others — read 28 August 2026
Новости Великого Новгорода и Области
@novgorod_smi · 20,615
Telegram ranks this channel #15 of 22 here — alongside 21 others — read 26 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

Q4322512 on Wikidata, read 8 November 2026
LabelYaroslav-the-Wise Novgorod State University
DescriptionRussian university
Official sitehttp://www.novsu.ru/

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Новгородский университет” (@news_novsu), 5,900 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/news_novsu.

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.