2 measurements taken within a single day. 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 615–617 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 03:03
616
no change
7 Aug 2026, 19:40
616
first reading
Engagement
14 posts held, back to 25 June 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
52.9%
avg views ÷ 616 subscribers
Avg views / post
326
8 posts measured
Reaction rate
4.41%
reactions ÷ views · ER floor
Posts in window
8
of 14 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
14 (25 June 2026 – 6 August 2026)
Views total
2,606
Reactions total
115
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 03:03 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
≈1,600
Videos
≈87
Links
≈815
Lifetime counters from Telegram’s own channel header, read 8 August 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
3m 23s
Average length
1m 08s
Measured directly from 3 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
234 reactions across 14 posts, in 16 distinct kinds. The most used accounts for 20.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
48
20.5%
custom 5382258792631121338
27
11.5%
custom 5224643225263817040
21
8.97%
custom 5197330377177310500
20
8.55%
👍
20
8.55%
🤗
18
7.69%
custom 5300988051361670696
14
5.98%
🔥
13
5.56%
custom 5301249902632804156
12
5.13%
custom 5298582590503033811
11
4.70%
❤🔥
9
3.85%
🥰
9
3.85%
custom 5350767426696930564
7
2.99%
custom 5350450294901718626
2
0.855%
✍
2
0.855%
🤝
1
0.427%
Custom emoji. 8 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 areTelegram’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 14 of the 14 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 234reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 25 June 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
5
of 14 we hold a reading for · 36%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zrmslu. 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 14 most recent posts we hold for this entry, published 25 June 2026 to 6 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.
🌝 Наши студенты
📆 С 13 по 27 июля студентка 2 курса направления Зарубежное регионоведение Полина Сергеева, изучающая английский и казахский языки, проходила стажировку в Фонде публичной дипломатии имени А.М. Горчакова
📘 Полина поделилась с нашими подписчиками своими впечатлениями
💬 Почему Вы решили летом пройти стажировку в Фонде?
Летом у меня было свободное время и мне захотелось попрактиковаться в сфере публичн…
🌝 Обычный абитуриент vs счастливый абитуриент: в чем разница?
Ответ — в нашем видео 👆
👉 А если хотите оказаться среди счастливых студентов, поторопитесь: остался всего 1 день, чтобы подать согласие на зачисление!
Не упустите возможность начать свой путь. Мы ждем именно вас! 🥰
Зарубежное регионоведение в MAX | ВК | Rutube | Дзен
🌚🍏🦿👱♀️🧑🦲👩🏫🧑🎤💇♀️🙎
#ЗР_анонсы
#Команда_ЗР_медиа
🌝 Библиотека регионоведа
📚 В ИКСА РАН вышла книга Константина Асмолова «Основы источниковедения и аналитики: пособие по развитию критического мышления»
👉 Автор — кандидат исторических наук, ведущий научный сотрудник Центра корейских исследований ИКСА РАН. Его предыдущие работы хорошо известны специалистам по истории и международным отношениям Северо-Восточной Азии
Новое издание выходит за рамки узкой регионалистик…
🌝 Наши студенты
📘 Студенты 2 курса кафедры зарубежного регионоведения прошли стажировку в Российском совете по международным делам (РСМД)
📆 В период с 30 марта по 16 июня они получили возможность погрузиться в профессиональную деятельность одного из ведущих российских аналитических центров, применить знания на практике и принять участие в экспертных мероприятиях
Стажировка в РСМД дала мне отличный аналитический оп…
🌝 Библиотека регионоведа
📘 В конце 2025 года было опубликовано учебно-методическое издание "Лексикон аналитика" за авторством доцента кафедры зарубежного регионоведения Вадима Николаевича Пивовара
Название: "Лексикон аналитика: Словарь терминов информационно-аналитической деятельности"
Место издания: Москва
Издательство: Московский государственный лингвистический университет
Год издания: 2025
Количество страниц: 40…
🔔Уважаемые абитуриенты!
👉 Приемная кампания идет полным ходом, заявления обрабатываются, списки обновляются...
А это значит, что настало время познакомиться с теми, кто станет вашим проводником в жизнь регионоведа!
📘Наши наставники - люди, которые прошли через все то, что вы проходите сейчас. Они помнят, как волнительно подавать документы, как страшно ждать результаты и как здорово наконец увидеть себя в списках
💬…
🌝 Библиотека регионоведа
📘 В июле 2026 года был издан учебник "Методология политэкономического анализа регионов мира" за авторством доцента кафедры зарубежного регионоведения, кандидата экономических наук Саида Закировича Гафурова. Учебник предназначен для студентов, обучающихся по программе магистратуры зарубежного регионоведения
Российский востоковед Саид Гафуров движется не от высокого теоретического осмысления …
(ПУБ)ЛИЧНО – видеопроект ИМОиСПН, посвященный нашим ярким преподавателям, исследователям и студентам. Это блиц-разговор о личном и публичном.
🔹Герой выпуска – Елена Дегтярева, выпускница бакалавриата и магистратуры по направлению подготовки «Зарубежное регионоведение». Одним из двух изучаемых Еленой языков был финский. В нашем интервью она рассказала, как этот редкий язык помог ей начать яркий профессиональный путь.…
🌝 Наши эксперты в СМИ
📃 В газете forum.msk был опубликован комментарий доцента кафедры зарубежного регионоведения, кандидата экономических наук Саида Гафурова. Эксперт объяснил то, что сейчас происходит на Кубе и сделал прогнозы касательно развития ситуации
То, что происходит на Кубе, чаще всего называют «перестройкой». Это ошибка. Это — третья фаза кубинского НЭПа. Вслед за Венесуэлой, где борьба фракций внутри ча…
🌝 Конечно же эти люди гарвардов не заканчивали...
Зато окончили обучение в МГЛУ!
📆 7 июля состоялась торжественная церемония вручения дипломов выпускникам 2026 года
🥰 Кафедра зарубежного регионоведения от всего сердца поздравляет выпускников и желает покорения новых высот и новых свершений уже в качестве дипломированных специалистов
📎 Фотоальбом от Ольги Тарасовой и Софьи Барановой
📎 Фотоальбом пресс-службы МГЛУ
…
🌝 Наши эксперты на ведущих российских площадках
📆 25-26 июня в Санкт-Петербурге в Мариинском дворце и других исторических площадках города состоялся X Международный Невский форум «Государственное управление: единство в многообразии как ключевой фактор стабильности и эффективного управления», организованный институтом управления Президентской Академии РАНХиГС
📘 В рамках форума 25 июня на факультете МО и политических…
🌝 Наши эксперты в СМИ
🥰 Заведующий кафедрой зарубежного регионоведения МГЛУ, кандидат политических наук Дмитрий Сидоров дал комментарий Известиям по случаю перехода бывшего президента Южной Осетии Алана Гаглоева на пост советника президента России
✅ Объединить условия: что означает переход Гаглоева на пост советника Путина
Новое назначение Гаглоева поможет практической реализации майского соглашения (Договора об у…
Showing the 12 most recent of 14 posts we hold for @zrmslu. 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 — 536,383 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.
Mentions
Named by 3 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.
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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Зарубежное регионоведение 🌍МГЛУ🌏” (@zrmslu), 616 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/zrmslu.
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.
