3 measurements spanning 7 days, net +7. 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 249–258 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Oct 2026, 17:06
257
+5
19 Oct 2026, 08:50
252
+2
19 Oct 2026, 04:22
250
first reading
Engagement
9 posts held, back to 4 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
63.3%
avg views ÷ 257 subscribers
Avg views / post
163
5 posts measured
Reaction rate
9.71%
reactions ÷ views · ER floor
Posts in window
5
of 9 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 18 October 2026
Posts held
9 (4 June 2026 – 18 October 2026)
Views total
813
Reactions total
63
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
19 Oct 2026, 04:22 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.
Reaction mix
88 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 75.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
66
75.0%
❤🔥
9
10.2%
🔥
7
7.95%
🥰
4
4.55%
👏
2
2.27%
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 7 of the 9 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 88 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 4 June 2026 to 18 October 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.
Дорогие друзья!
〰️〰️〰️〰️〰️〰️〰️
Что стоит за одной из самых известных фигур новейшей истории Балкан? Как судьба отдельного человека переплетается с распадом государства, войной и судьбами целых народов?
🟢22 октября Балканский клуб МГИМО приглашает на лекцию Елены Юрьевны Гуськовой «Ратко Младич: портрет на фоне эпохи»🟢
🙂Наш спикер - Елена Юрьевна Гуськова, доктор исторических наук, главный научный сотрудник Институт…
⚡️Презентация Балканского клуба состоялась!⚡️
8 октября прошла презентация Балканского клуба для студентов МГИМО, которые хотели поближе познакомиться с клубом и его деятельностью.
В ходе встречи организаторы рассказали
🔘чем занимается Балканский клуб
🔘как устроена его работа
🔘какие направления в нём существуют
Новые участники узнали о различных отделах клуба, их задачах и о том, как каждый может найти для себя ин…
Дорогие друзья!
С радостью сообщаем вам, что уже завтра, 8 октября состоится презентация Балканского клуба!
Мы будем очень рады видеть всех, кому интересны страны балканского региона, а также их неповторимая культура, языки, политика и экономика.
На презентации мы расскажем вам:
- О особенностях работы в клубе
- О нашей сплоченной команде
- О планирующихся в этом году мероприятиях
- О том, чем лично вы можете помо…
Молодёжный научно-исследовательский центр «Национальная безопасность России» открывает набор в команду‼️
Если тебе интересны:
🔹 исследования в области экономики, истории, национальной и военно-политической безопасности;
🔹 встречи, лекции и мастер-классы с военкорами, разведчиками и другими экспертами в сфере национальной безопасности и не только;
🔹 деятельность Военного учебного центра МГИМО —
присоединяйся к нашей …
Милорад Додик посетил МГИМО
28 сентября МГИМО посетила делегация Республики Сербской во главе с лидером «Союза независимых социал-демократов» Милорадом Додиком.
М.Додик встретился с ректором МГИМО Анатолием Васильевичем Торкуновым. Стороны обсудили развитие сотрудничества в сфере образования, академические обмены и совместные молодежные проекты, в том числе взаимодействие МГИМО с университетами Баня-Луки и Восточно…
❗️24 СЕНТЯБРЯ — ПРЕЗЕНТАЦИЯ ИТАЛЬЯНСКОГО КЛУБА НСО МГИМО им. Т.В. Зоновой 🇮🇹
Cari amici!
От всей души рады пригласить вас на Презентацию нашего Итальянского клуба Научного студенческого общества МГИМО имени Т.В. Зоновой, которая состоится совсем скоро — в четверг, 24 сентября, в 16:00!
На встрече вы сможете узнать:
⚡️ чем занимается Итальянский клуб и какой отдел подходит именно вам: от SMM до организации меропри…
28 мая с.г. активисты Балканского клуба НСО МГИМО посетили круглый стол, посвященный 34-ой годовщине установления дипломатических отношений между Российской Федерацией и Республикой Хорватией. Организатором заседания выступило Общество дружбы и культурных связей с Хорватией.
С приветственным словом к присутствовавшим обратились посол Российской Федерации в Хорватии (2015–2020), старший научный сотрудник кафедры инте…
26-29 мая с.г. активист Балканского клуба НСО МГИМО, студент 3-го курса Факультета международных отношений А.Михайлов принял участие в качестве волонтера в первом Международном форуме по безопасности, проведенном под эгидой Совета Безопасности Российской Федерации.
Основная задача А.Михайлова как волонтера заключалась в сопровождении делегаций Сербии и Республики Сербской. От Сербии в форуме участвовал глава наблюда…
❤10
Showing the 9 most recent of 9 posts we hold for @rosbalkanclub. 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.
Mentions
Named by 1 registered channel — 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 25 October 2026 — this
entry's latest reading, not the date you are reading this.
“Балканский клуб НСО МГИМО” (@rosbalkanclub), 257 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/rosbalkanclub.
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.