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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
65 measurements spanning 98 days, net +1,562. 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 28,498–30,528 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 09:06
30,294
+13
10 Nov 2026, 09:58
30,281
+25
8 Nov 2026, 23:51
30,256
+47
7 Nov 2026, 14:05
30,209
+34
6 Nov 2026, 14:05
30,175
+10
5 Nov 2026, 11:41
30,165
+16
4 Nov 2026, 11:57
30,149
+5
3 Nov 2026, 15:26
30,144
+7
2 Nov 2026, 13:16
30,137
+16
1 Nov 2026, 13:08
30,121
+8
31 Oct 2026, 13:17
30,113
+12
30 Oct 2026, 14:00
30,101
+6
29 Oct 2026, 15:41
30,095
+22
28 Oct 2026, 16:10
30,073
+18
27 Oct 2026, 18:57
30,055
+32
26 Oct 2026, 17:07
30,023
+54
25 Oct 2026, 14:01
29,969
+8
24 Oct 2026, 13:06
29,961
+19
23 Oct 2026, 16:36
29,942
+4
22 Oct 2026, 14:47
29,938
first reading
Engagement
324 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 162 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.74%
avg views ÷ 30,294 subscribers
Avg views / post
2,950
124 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
124
of 324 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 11 November 2026
Posts held
324 (3 August 2026 – 11 November 2026)
Views total
366,062
Reactions total
4,091
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 23:41 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
32m 14s
Average length
2m 56s
Measured directly from 11 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
11,801 reactions across 319 posts, in 12 distinct kinds. The most used accounts for 44.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,280
44.7%
🔥
2,064
17.5%
👏
1,345
11.4%
custom 5251407807890100867
912
7.73%
🥰
606
5.14%
👍
485
4.11%
😍
478
4.05%
custom 5384240400347208864
309
2.62%
🙏
124
1.05%
💯
87
0.737%
🤩
58
0.491%
custom 5427273773629875247
53
0.449%
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 324 of the 324 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 11,952 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 324 most recent posts we hold, published 3 August 2026 to 11 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: 19 of 124 posts held from the last 30 days (15.3%) 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).
#студ_жизнь
🔵 Первый Кубок МГИМО по паделу
В МГИМО впервые состоится I турнир по паделу среди студентов вузов Москвы и Московской области, организованный Спортклубом МГИМО совместно с Федерацией падела России.
За победу поборются 16 пар:
🔵8 мужских
🔵8 женских
Когда и где?
🔵13 ноября, 16:00
🔵СОЦ МГИМО (территория 3-го теннисного корта)
К участию приглашаются студенты очной формы обучения вузов Москвы и Московской…
#новости_мгимо
📍Поликлиника МГИМО: новые цифровые сервисы и оборудование
С 12 ноября поликлиника МГИМО в пилотном режиме запускает онлайн-запись и электронные медицинские карты для студентов и сотрудников Университета.
Также обновляется материально-техническая база:
закуплены флюорограф, аппарат УЗИ, электрокардиограф и другое диагностическое оборудование. Ввод в эксплуатацию запланирован до конца 2026 года.
Как …
#новости_мгимо
🏆 МГИМО – в числе лидеров технологического предпринимательства
МГИМО занял 9–11-е место в рейтинге «Техпред-50» АЦ «Эксперт», поднявшись с 15–16-го места. В исследовании учтены 115 технологических стартапов выпускников Университета.
Эндаумент МГИМО играет важную роль в развитии предпринимательской экосистемы Университета, предоставляя грантовую поддержку и реализуя акселератор MGIMO Ventures совмест…
mgimo.ru | #MGIMOBrief
🎓 Старт совместной программы МГИМО и Вологодской области
В МГИМО открылась совместная образовательная программа для студентов ведущих вузов Вологодской области.
В церемонии открытия приняли участие проректор по молодежной политике, социальной работе и международным связям С.И.Суровцев, представители руководства Университета и Вологодской области.
В первый день студенты познакомились с объед…
#сегодня_мгимо
Доброе утро, МГИМО!
📆 Сегодня в Университете:
🔵Встреча «Мост между культурами: от Пхеньяна до Анкары» | 14:30 | Дипакадемия МГИМО
🔵Лекция «Японский мегаполис. Возрождение деревянной архитектуры» | 16:00 | ауд.2120
🔵Демографический квиз | 16:00 | ауд.511
📰 Новости:
⚡️ Команда МГИМО – бронзовый призер International Air Law Moot Court Competition
⚡️ VI Конференция «Право между Востоком и Западом»
📎…
#абитуриенту_мгимо
🎓 Создай бренд города вместе с МГИМО!
Как сделать город узнаваемым, а регион – привлекательным для туристов и бизнеса?
Узнай на Зимней школе МГИМО «Будущий международник»! К участию приглашаются учащиеся 8–11 классов.
⭐️ Школьники познакомятся с российскими и зарубежными практиками территориального брендинга и создадут собственный проект продвижения города или региона – от идеи и визуального ст…
#приоритет2030_мгимо
💚 Информационные операции: новые практики и вызовы
10 ноября в МГИМО стартуют курсы повышения квалификации «Новейшие практики информационных операций» для магистрантов ЕУИ и преподавателей университета.
💚 Программа предусматривает прикладной анализ современных информационных операций, изучение их правового регулирования на глобальном и региональном уровнях, а также методов противодействия угро…
#факультеты_мгимо
🔵 МГИМО в деталях – новости факультетов и институтов
От научных дискуссий до культурных проектов – факультеты и институты МГИМО формируют насыщенную университетскую повестку.
▫️ Факультет МО
🟦Состоялась встреча с выпускниками Факультета МО в рамках V юбилейного фестиваля «Неделя МО»
▫️ Факультет МП
🟦Команда МГИМО – бронзовый призер международного конкурса по воздушному праву
🟦 VI Международная …
#сегодня_мгимо
Доброе утро, МГИМО!
📆 Сегодня в Университете:
🔵V конференция «Цифровая трансформация международной экономической системы» | время уточняется | очно и онлайн
🔵Open-talk с Д.Сметнёвым, сооснователем Skyeng | 16:00 | ауд.505
🔵Мастер-класс «Коммуникации в энергетической дипломатии и праве» | 16:00 | зал №6
📰 Новости:
⚡️ Команда МГИМО – бронзовый призер International Air Law Moot Court Competition
⚡️ …
#поздравления_мгимо
🏆 Команда МГИМО – бронзовый призер международного конкурса по воздушному праву
2–4 ноября в Китае прошли международные раунды International Air Law Moot Court Competition, по итогам которых команда МГИМО завоевала бронзовые медали.
🔹В состав команды вошли Александра Панина и Арина Провоторова (2 маг. МП), а также Ирина Маркова (выпускница МП 2026). Одержав четыре победы в предварительных раунда…
#анонсы_мгимо
🕒Последний шанс – заканчивается регистрация на олимпиаду «Я – профессионал»!
Успейте подать заявку до завтра!
Уже 10 ноября заканчивается регистрация на юбилейный X сезон «Я – профессионал». МГИМО приглашает студентов попробовать свои силы по направлению «Международные отношения».
Что нужно сделать?
1️⃣Перейти на сайт Олимпиады
2️⃣Зарегистрироваться и выбрать направление «Международные отношения»
3️…
mgimo.ru | #MGIMOBrief
⚖️ VI Международная конференция «Право между Востоком и Западом»
В МГИМО состоялась VI Международная конференция «Право между Востоком и Западом», организованная МП факультетом совместно с Юридическим факультетом КФУ.
Пленарное заседание открыл декан МП факультета Н.Ю.Молчаков. С приветствием выступил первый проректор Г.П.Толстопятенко. Почетным гостем стал посол Нигерии в России Джозеф Олус…
Showing the 12 most recent of 324 posts we hold for @mgimo_university. 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
@mgimo_university edited 12 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
3 September 2026
Most recent edit
10 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @mgimo_university as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
5 October 2026
Most recent seen missing
5 October 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0
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 86 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@mgimo_university named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@politclubmg named in 1 post, 20 October 2026 – 20 October 2026 · confirmed gone 11 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
САРДАРЯН @sardaryanh · 49,150 Telegram ranks this channel #31 of 90 here — alongside 89 others — read 25 August 2026
Белый Филин @whitefilin · 22,801 Telegram ranks this channel #63 of 94 here — alongside 93 others — read 20 September 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.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“МГИМО. Официально” (@mgimo_university), 30,294 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/mgimo_university.
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.