4 measurements spanning 6 days. 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 1,006–1,007 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 01:14
1,007
+1
11 Aug 2026, 01:55
1,006
-1
8 Aug 2026, 00:33
1,007
no change
7 Aug 2026, 19:30
1,007
first reading
Engagement
14 posts held, back to 30 September 2025 — 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
79.3%
avg views ÷ 1,007 subscribers
Avg views / post
798
5 posts measured
Reaction rate
3.06%
reactions ÷ views · ER floor
Posts in window
5
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 27 July 2026
Posts held
14 (30 September 2025 – 27 July 2026)
Views total
3,991
Reactions total
122
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 00:33 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
321 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 53.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
171
53.3%
🔥
96
29.9%
🤯
19
5.92%
👍
17
5.30%
👏
10
3.12%
😁
3
0.935%
🤔
3
0.935%
🥰
2
0.623%
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 321reactions 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 30 September 2025 to 27 July 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.
Друзья, привет!
У нас произошёл небольшой технический сбой и письма по адмиссии будут приходить в течение сегодняшнего и завтрашнего дня к вам на почту.
Обратите внимание, что в каждом письме будет индивидуальная ссылка, поэтому дождитесь именно своего письма.
Спасибо за понимание! На связи!❤️
Если письмо не пришло, пожалуйста, напишите @Adel_Olimova в Telegram
Друзья, привет!
Сегодня мы направили всем зарегистрированным участникам письмо с более подробной информацией о поступлении на программу Doing Business.
Адмиссия состоит из четырех этапов:
1 этап «Осознанный выбор» – с 27 июля по 10 августа (онлайн)
2 этап «Знакомство» – с 27 июля по 10 августа (онлайн)
3 этап «Тестирование» – с 20 по 25 августа (онлайн)
4 этап «Бизнес-игра»– с 7 по 16 сентября (очно в один из дней)…
Никогда бы не подумала, что мой научный бэкграунд может быть полезен для решения реальных бизнес-задач...
Отзыв Александры Крюковой, студентки программы Doing Business.
«До прохождения программы я не имела никакого представления о бизнес-процессах и вообще о работе большой компании, просто знала, что точно пойду на Doing Business еще с момента поступления в МГУ для нового опыта и выхода за рамки привычного.
Я явля…
Каждый новый цикл Doing Business начинается задолго до первой встречи со студентами.
В эти выходные стартовала Школа модераторов — программа, на которой выпускники Doing Business готовятся взять на себя новую роль в следующим потоке программы.
Вместе с экспертами и руководителями треков ребята разбирают реальные ситуации из опыта программы, осваивают методологию организации коллективной работы и участвуют в проекти…
Можно ли перевести знания об искусственном интеллекте в решение, которое создаёт ценность для бизнеса?
История Руслана Войта — студента факультета ВМК МГУ и участника программы Doing Business.
Стать участником программы Doing Business было моей мечтой с момента поступления в МГУ. Для меня было важно не только освоить фундаментальные науки, но и получить качественное бизнес-образование, чтобы научиться превращать по…
Диалог поколений в бизнесе — так называлась встреча, которая недавно прошла на программе ЕМВА.
В ней приняли участие студенты самой программы — предприниматели и топ-менеджеры компаний, а также студенты и выпускники Doing Business.
Тема поколений сегодня обсуждается часто. Но что происходит, когда представители разных поколений оказываются в роли участников одной управленческой ситуации? И это мы попробовали провер…
Я наконец-то закончил "Doing Business" от ВШБ МГУ.
Если бы мне год назад сказали, что я буду выступать на канале «Вместе-РФ» Совета Федерации в телемарафоне про заботу о здоровье сотрудников в компаниях, я бы не поверил. Но в итоге я буду там рассказывал про продукт — "Индекс корпоративного здоровья", который мы разработали с моей группой в Дуинге за год.
Если описать эти восемь месяцев обучения на «Doing Business»…
Технические и естественно-научные направления сформировали в тебе способность понимать и работать со сложными системами. А сможешь ли ты превратить это понимание в управленческие решения, меняющие модель работы бизнеса?
🔥 Doing Business - грантовая программа по корпоративному предпринимательству и менеджменту на базе Высшей школы бизнеса МГУ.
В течение 8 месяцев участники работают над реальными проектами компаний-п…
Почему компании ищут людей с предпринимательским мышлением?
Еще лет 15 назад от сотрудников в крупных компаниях ожидали в первую очередь исполнения задач.
Сегодня всё чаще ищут людей с предпринимательским мышлением.
Почему?
Потому что большинство задач в компаниях больше не выглядят как «четкая инструкция».
Реальные рабочие ситуации выглядят как:
- проблема сформулирована не до конца
- данные неполные
- решения ну…
Сегодня у наших групп ответственный день - первая презентация проектов🚀
Последние 4 недели команды программы Doing Business погружались в реальные ситуации компаний-партнеров, анализировали контекст, выявляли проблемы.
Пожелаем всем командам удачи!✨
Showing the 12 most recent of 14 posts we hold for @Doing_Business_VSHB. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Погружаются в проектные темы от Бизнес-партнеров73%
Готовят творческий номер13%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 14 most recent posts we hold, published 30 September 2025 to 27 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 708,446 of 1,481,217entries 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
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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Doing Business ВШБ МГУ” (@Doing_Business_VSHB), 1,007 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Doing_Business_VSHB.
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.