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Channel

СФУ

@SibFUofficial

Verified by Telegram

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

14,430subscribers

+471 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001303970860
TypeChannel
Username@SibFUofficial
DescriptionТелеграм-канал Сибирского федерального университета Ваши вопросы, фото, предложка — @SibFUAnswer_bot Вопросы по поступлению — https://t.me/dovuz_sfu Проголосовать за канал — https://t.me/boost/SibFUofficial РКН — https://clc.li/YHWHT
Created2 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/SibFUofficial

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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

13,95914,53414,246.514,4306 August 202611 November 2026
64 measurements spanning 97 days, net +471. 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 13,873–14,620 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 12:1014,430+17
9 Nov 2026, 15:5914,413-8
8 Nov 2026, 09:4914,421-1
7 Nov 2026, 07:4614,422-6
6 Nov 2026, 06:2114,428-7
5 Nov 2026, 02:1714,435+1
4 Nov 2026, 00:3614,434-1
2 Nov 2026, 23:5914,435+6
2 Nov 2026, 02:0814,429-1
1 Nov 2026, 05:1914,430-6
31 Oct 2026, 03:1114,436-2
30 Oct 2026, 04:0814,438-14
28 Oct 2026, 06:4614,452-6
27 Oct 2026, 08:0414,458-4
26 Oct 2026, 04:5714,462-4
25 Oct 2026, 08:0614,466-5
24 Oct 2026, 08:0614,471-6
23 Oct 2026, 05:0714,477-5
21 Oct 2026, 02:0614,482-8
20 Oct 2026, 01:1814,490first reading

Engagement

153 posts held, back to 4 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.4%
avg views ÷ 14,430 subscribers
Avg views / post
1,780
51 posts measured
Reaction rate
2.36%
reactions ÷ views · ER floor
Posts in window
51
of 153 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 12 November 2026
Posts held153 (4 August 2026 – 12 November 2026)
Views total90,921
Reactions total2,148
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 07:26 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

Photos
≈12,200
Videos
≈1,170
Links
≈5,810

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
12m 57s
Average length
52s

Measured directly from 15 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

4,983 reactions across 153 posts, in 46 distinct kinds. The most used accounts for 30.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,49830.1%
🔥87717.6%
👎55711.2%
👏4478.97%
👍3737.49%
❤‍🔥2114.23%
🥰2014.03%
🤬961.93%
💘891.79%
🤨861.73%
💊501.00%
😁501.00%
😍470.943%
🤔410.823%
🎉400.803%
🤩360.722%
😱350.702%
🏆310.622%
🕊300.602%
✍290.582%
26 further kinds1593.19%

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 153 of the 153 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 4,983 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 153 most recent posts we hold, published 4 August 2026 to 12 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.

Advertising

Ad load
0.654%
1 of 153 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,730
over 1 measured post
Median views · rest
1,740
over 152 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvJjvWa15 November 20265 November 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 153 most recent posts we hold, published 4 August 2026 to 12 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 9 of 51 posts held from the last 30 days (17.6%) 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).

12 Nov 2026, 07:04 UTC383 views17 reactionsread 12 November 2026
Photo

Учёба учёбой, а вкусный обед по расписанию 🍽 Знакомьтесь, «Кейтеринбург» — оператор питания, который заботится о том, чтобы студенты и сотрудники университета могли вкусно поесть между парами и рабочими делами! У компанией более 20 лет опыта и тысячи довольных посетителей каждый день. 📲 Хотите знать, что сегодня на обед? Подписывайтесь на канал «Кейтеринбург СФУ»! Там рассказывают о точках питания в университете, …

👎7🔥5❤3👏1🥰1

12 Nov 2026, 05:03 UTC888 views26 reactionsread 12 November 2026
Photo

Наследие приумножается: итоги розыгрыша к 20-летию СФУ 💪🏻 Благодарим каждого, кто поддержал целевой капитал «Наследие». Каждый взнос, даже самый небольшой, — уже часть общего капитала. И именно с этого начинается преемственность: те, кто сегодня помогают университету, поддерживают тех кто будет учиться в нём завтра. 40 человек (!) сделали взносы на общую сумму 120 000 рублей. Эти средства пойдут на поддержку студен…

🔥8👎7❤3👏3💯1🤩1🤷1😁1

12 Nov 2026, 03:04 UTC≈1,170 views30 reactionsread 12 November 2026
Photo

Маленький человек — огромный университет 🏛️ Оказавшись среди масштабных пространств СФУ, невольно чувствуешь себя частью чего-то гораздо большего. Снимки Юли Котельниковой напоминают, насколько большим может быть мир вокруг нас! 🏚 СФУ: ВК | Rutube | Дзен | МАХ

❤15👎6🔥3👏2💘2🐳1🥰1

11 Nov 2026, 11:05 UTC≈1,620 views40 reactionsread 12 November 2026
Photo

ИИ, который работает за вас? Кажется, нам есть что обсудить 🤖 В Красноярске запускается ODS — сообщество для всех, кто интересуется искусственным интеллектом, машинным обучением и работой с данными! ⚡️ А первое знакомство состоится уже 20 ноября на ODS:AI Meetup #1! Что в программе? 💚 LLM-агенты в Data Science: как они меняют работу с данными? 💚 Искусственный интеллект в научных исследованиях. 💚 Персональный ИИ-ас…

👍16👎11🔥6❤4👏3

11 Nov 2026, 08:01 UTC≈1,540 views35 reactionsread 12 November 2026
Photo

Клиповое мышление, гуманитарии и 15 книг за один выпуск. Что происходит? 🤯 А это новый эпизод подкаста «БиблиоХаб» от Библиотеки СФУ! 🎙 На этот раз в гостях — Марина Лаптева, заведующая кафедрой информационных технологий в креативных и культурных индустриях ГИ СФУ. О чём поговорили? 💚 Что произойдёт, если прямо сейчас отказаться от гуманитариев? 💚 Какие гуманитарные профессии востребованы сегодня? 💚 Как клиповое м…

❤16👎9🔥6👏4

11 Nov 2026, 07:02 UTC≈1,530 views34 reactionsread 12 November 2026
Photo

О чём молчат цветы и жужжат насекомые? 🐝 Оказывается, между ними гораздо больше общего, чем кажется! Как растения и насекомые влияют друг на друга, зачем им нужны эти связи и какую роль во всём этом играет эволюция? Узнаем на онлайн-лекции ИФБиБТ «Насекомые на цветках: между зоологией и ботаникой»! О чём поговорим? 💚 Как насекомые и растения взаимодействуют друг с другом? 💚 Как формировались их отношения в процесс…

🔥15👎8👍5👏5❤1

11 Nov 2026, 05:04 UTC≈1,630 views30 reactionsread 12 November 2026
Photo

Ваша идея может изменить будущее Красноярского края (и не только) 🚀 26–27 ноября в Научной библиотеке СФУ пройдёт VIII Межрегиональный молодёжный инновационный форум «Инновации-2026»! Что вас ждёт? 💚 Выставка-конкурс инновационных проектов по шести направлениям — от ИИ и робототехники до медицины и агротехнологий. 💚 Оценка разработок жюри из учёных и представителей индустрии. 💚 Мастер-классы от экспертов и новые по…

👎9❤7👍5🔥4✍3🤝1😁1

11 Nov 2026, 03:04 UTC≈1,790 views44 reactionsread 12 November 2026
Photo

Немного прекрасного в вашу ленту 🌿 Вы только посмотрите, сколько красоты вокруг нас! Цветы, растения и уютные зелёные уголки — всё для того, чтобы даже на первые пары хотелось просыпаться с удовольствием! Делимся с вами частичкой этой красоты в фотоподборке от Юлии Котельниковой 🌸 🏚 СФУ: ВК | Rutube | Дзен | МАХ

❤21👎7🥰7🔥6😍3

10 Nov 2026, 11:01 UTC≈2,970 views345 reactionsread 12 November 2026
Photo

— Запретить аборты? — Ограничить женщинам доступ к образованию? — Лишить права голоса до рождения первого ребёнка? Звучит как антиутопия. Но подобные идеи действительно звучат в дискуссиях о демографии. ⚡️ В СФУ пройдёт дискуссия «Перспективы повышения рождаемости в современной России: между духовным возрождением и «родильными концлагерями». Вместе с историком Иваном Копыловым попробуем разобраться в исторических …

👎179🤬83💊21👍16😱14❤12🤔9❤‍🔥5

10 Nov 2026, 09:03 UTC≈2,150 views22 reactionsread 12 November 2026
Photo

Камера, мотор, Красноярск 🎬 А вы когда-нибудь задумывались, какие знакомые места можно увидеть в фильмах? Проект «Снято здесь: путешествие по России через кино» готовит бесплатные встречи в Красноярске, на которых участники смогут узнать больше о фильмах, местах съёмок и истории территорий, посмотреть кинофрагменты и обсудить увиденное. Но какие темы войдут в программу — зависит и от вас! 💜 Если вы живёте в Красн…

🔥9❤5👎4👏3😁1

10 Nov 2026, 06:06 UTC≈2,020 views44 reactionsread 12 November 2026
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Ну что, сибиряки, нас раскрыли? 💬 Замечали, как часто мы начинаем сообщения с «ну»? Оказывается, в соцсетях уверены: эта привычка — настоящий признак сибиряка! Но действительно ли одно короткое слово может выдать, откуда мы родом? 💭 «Частица „ну“ универсальна, употребляется в разговорной речи», — объясняет Алёна Кузнецова, кандидат филологических наук, доцент кафедры русского языка, литературы и речевой коммуникац…

🔥21👎6😁6❤5👏5👍1

10 Nov 2026, 05:00 UTC≈2,270 views144 reactionsread 12 November 2026
Photo

Здесь каждая секунда на счёту❗️ Именно поэтому важно знать простые правила безопасности заранее. Они могут показаться очевидными, но в стрессовый момент даже самые простые действия не всегда приходят в голову. Собрали главное в карточках. Листайте, запоминайте и берегите себя ❤️ PS: сохраняйте алгоритм действий, на всякий случай. 🏚 СФУ: ВК | Rutube | Дзен | МАХ

🤨86👎29🙏7🤬6❤5🕊5💯3👌2

Showing the 12 most recent of 153 posts we hold for @SibFUofficial. 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.

Posts edited after publishing

@SibFUofficial edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
9 August 2026

Forward network

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 25 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.

Минобрнауки России
@minobrnaukiofficial · 59,268
6 posts
Работа в «Полюсе»
@polyus_team · 11,679
6 posts
Университеты РФ
@russiauniversities · 13,860
4 posts
Мониторг_ТГ
@nose_tg · 2
3 posts
Наука.рф
@npnauka · 14,511
3 posts
ПОЛЮС
@PaoPolyus · 9,299
3 posts
ТГУ | Томский государственный университет
@tomskuniversity · 12,355
3 posts
ЛикбеZ
@likbezzru · 44,556
2 posts
НИЯУ МИФИ
@mephi_of · 11,779
2 posts
НОС: наука, образование, студенчество
@nos_mediaa · 15,075
2 posts
БГТУ «ВОЕНМЕХ» им. Д.Ф. Устинова
@bgtu_voenmeh · 4,708
1 post
Центр межолимпиадной подготовки
@centre_lebedev · 590
1 post
ПИШ ХИМ | Герои Химпрома
@chemeng2030 · 238
1 post
Образовательный список | Научный каталог
@edu_list · 258
1 post
ГАРНЕЦ
@garnec · 590
1 post
Приключения иностранцев в России 🇷🇺
@inostranets_v_RF · 11,973
1 post
Минспорт России
@minsport_russia · 33,314
1 post
Наука в регионы. МФТИ
@naukavregion · 832
1 post
Северные финансы
@northfin · 200
1 post
ПЕРВЫЕ НА ПЕРВОМ
@pervienapervom · 618
1 post
Партийные новости
@politparties · 188
1 post
ПрессИндекс — Мониторинг СМИ и соцсетей
@pressindex · 356
1 post
Ресурсный центр развития медиакоммуникаций
@rcrm31 · 53
1 post
Герман Руднев (а то вдруг что)
@telephrenia · 120
1 post

Names

Channels on the register whose handles appear in this channel's posts.

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.

Красноярск сейчас
@krasnoyaarsk · 25,136
Telegram ranks this channel #57 of 70 here — alongside 69 others — read 14 September 2026
Красноярск с огоньком
@krasntop · 34,326
Telegram ranks this channel #60 of 82 here — alongside 81 others — read 3 September 2026
KJA Авиабилеты Красноярск
@kja_krsk · 59,027
Telegram ranks this channel #63 of 80 here — alongside 79 others — read 22 August 2026
КрасноярскДА | Новости Красноярска
@krasnoyarsk · 20,515
Telegram ranks this channel #64 of 80 here — alongside 79 others — read 25 September 2026
Новости Красноярска и Края
@krasnoyarsk_smi · 87,379
Telegram ranks this channel #70 of 76 here — alongside 75 others — read 17 August 2026
Короче, Красноярск
@krskkoroche · 30,887
Telegram ranks this channel #74 of 77 here — alongside 76 others — read 5 September 2026
Михаил Котюков
@mkotyukov · 48,674
Telegram ranks this channel #79 of 93 here — alongside 92 others — read 25 August 2026
Красноярск №1
@krsk01 · 23,148
Telegram ranks this channel #87 of 91 here — alongside 90 others — read 18 September 2026
Проспект Мира
@prmira_news · 22,647
Telegram ranks this channel #88 of 92 here — alongside 91 others — read 28 September 2026
Борус
@borusio · 67,477
Telegram ranks this channel #88 of 92 here — alongside 91 others — read 20 August 2026
NGS24.RU — Новости Красноярска
@ngs24_krsk · 62,864
Telegram ranks this channel #89 of 92 here — alongside 91 others — read 21 August 2026
Kras Mash
@kras_mash · 49,715
Telegram ranks this channel #93 of 93 here — alongside 92 others — read 25 August 2026

This channel appears in 12 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.

Q2382644 on Wikidata, read 8 November 2026
LabelSiberian Federal University
Descriptionuniversity in Russia
X / Twitter@SibFULive
YouTubeUCDLwDnS0jD1j_yfpW4z3dBQ
Official sitehttps://sfu.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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“СФУ” (@SibFUofficial), 14,430 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/SibFUofficial.

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.