4 measurements spanning 6 days, net -1. 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 5,160–5,163 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 00:25
5,160
-3
10 Aug 2026, 01:42
5,163
+2
6 Aug 2026, 21:15
5,161
no change
6 Aug 2026, 21:04
5,161
first reading
Engagement
23 posts held, back to 15 July 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
18.5%
avg views ÷ 5,160 subscribers
Avg views / post
956
21 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
21
of 23 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 12 August 2026
Posts held
23 (15 July 2026 – 12 August 2026)
Views total
20,076
Reactions total
460
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 06:00 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
4m 39s
Average length
56s
Measured directly from 5 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
490 reactions across 23 posts, in 12 distinct kinds. The most used accounts for 34.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
170
34.7%
👍
143
29.2%
🔥
101
20.6%
💯
46
9.39%
👌
7
1.43%
😁
6
1.22%
🙏
6
1.22%
💔
3
0.612%
🤡
3
0.612%
😭
2
0.408%
🙈
2
0.408%
🤬
1
0.204%
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 23 of the 23 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 490reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 15 July 2026 to 12 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
12
across the posts below
Posts paid on
3
of 23 we hold a reading for · 13%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @regroup_consulting. 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 23 most recent posts we hold for this entry, published 15 July 2026 to 12 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.
Это рубрика Галины Рогозиной, старшего партнера Regroup, в которой мы ищем ответы на сложные вопросы.
Мы привыкли легко называть лидерами людей, занимающих высокие должности. CEO - лидер. Руководитель большой команды - лидер. Член правления - лидер.
Но мне все меньше кажется, что должность имеет прямое отношение к лидерству.
Должность даёт власть. Право принимать решения, распределять ресурсы, нанимать и увольнять…
Сила союза человека и ИИ
Как помочь менеджерам руководить смешанными командами? Как перестроить рабочие процессы, в которых работают люди и ИИ? Korn Ferry назвал шесть тенденций 2026 года, с которыми столкнутся CEO и HR-руководители в борьбе за таланты:
1. Ваш новый сотрудник может оказаться не человеком. Наступает время гибридных команд, состоящих из людей и ИИ-агентов. ИИ теперь не просто помощник, а член команды…
«Непростые истории»: Марья Дей, Simple Group
Измеряется ли успех деньгами, можно ли достичь карьерных высот без дисциплины и как захотеть прийти в логистику? О карьерном пути, инсайтах и о том, что удача - это часть стратегии поговорили с Марьей Дей, первым заместителем генерального директора Simple Group.
🟠Как презентация о себе помогает понять, с кем из команды будет легко работать
🟠 Почему умение коммуницировать…
Перегруз - наша новая норма, считает управляющий партнер Regroup Оксана Морсина.
Российский бизнес уже несколько лет живёт в режиме, когда вызовы не сменяют друг друга, они накапливаются.
И я вижу это в каждом разговоре с CEO: усталость другого качества, не та, что бывает после сложного квартала. Наше исследование «Компетенции будущего» зафиксировало три системных вызова, которые давят одновременно.
Первый - люди.…
Компании перепроектируют управленческую архитектуру под новые приоритеты: ИИ, контентные экосистемы, операционная эффективность в ритейле. Внутренние переходы и повышения продолжают доминировать над внешним наймом.
Кино и стриминг стал самым активным сегментом месяца. Холдинги выстраивают кластерную логику управления: кино, музыка, дистрибуция объединяются под общим зонтом с выделенным лидерством на каждом уровне. …
ОТСТАВКИ И НАЗНАЧЕНИЯ ИЮЛЯ
ЛОГИСТИКА
- Павел Кузнецов назначен генеральным директором СДЭК.
ТЕХНОЛОГИИ
- Дмитрий Тимко возглавил в Яндексе кросс-функциональную структура вокруг «Алисы AI».
- Александр Поповский возглавил объединенные команды российского и международного направлений «Поиска» в Яндексе.
- Никита Прибыловский назначен генеральным директором платформы Telega.in.
РИТЕЙЛ
- Иван Ежов возглавил направлени…
Это рубрика Галины Рогозиной, старшего партнера Regroup, в которой мы ищем ответы на сложные вопросы.
На прошлый пост мой муж отреагировал критично и неожиданно эмоционально. Сказал, что я смешала разные темы, слишком упрощаю то, как формируется личность. Потом читатель написал: нашу жизнь часто меняют именно большие события - они прерывают цепочку повторений.
И они, конечно, правы. Человек не становится собой благ…
Как придумали «Чижик» и «Около»?
Рассказывает Игорь Шехтерман, генеральный директор X5 в нашем проекте «Непростые истории»
Смотреть полную версию интервью можно во ВКонтакте и на Youtube-канале
#непростыеистории
Финансовый директор как главный соперник СЕО
25% СЕО считают главными конкурентами своих финансовых директоров (CFO). Это шокирующе высокий показатель. Обычно отношения генерального и финансового директоров — это плотное сотрудничество: CFO контролирует «слепые зоны» CEO.
Аналитики Korn Ferry объясняют, почему гендиректор все чаще видят соперника в CFO:
• Экономическая неопределенность и нестабильность последних ле…
Это рубрика Ольги Ощепковой «Разбор по кадрам», в которой мы разбираем лидерство через кино.
Сегодня хочу поговорить об одном из моих любимых фильмов - «Москва слезам не верит».
Фильм вышел в год, когда я пошла в школу. И, мне кажется, во многом определил судьбы многих моих одноклассниц, настолько ярко и характерно в нём были прописаны женские персонажи.
Конечно, я хочу поговорить о Катерине.
Знаете, какой кадр з…
За что уволят из "Авито"?
Рассказывает Сергей Пивень, управляющий партнер компании. Смотрите выпуск на нашем YouTube-канале и ВКонтакте.
#Непростыеистории - проект, который мы делаем в партнёрстве со СберУниверситетом. Это честный разговор с топ-менеджерами и предпринимателями о том, как люди меняют бизнес и меняются сами.
Это рубрика Галины Рогозиной, старшего партнера Regroup, в которой мы ищем ответы на сложные вопросы.
Мой тренер по телесным практикам любит говорить: «Количество повторений всегда побеждает».
Можно час в день делать упражнения для осанки. Но если остальные пятнадцать часов сидеть, сутулясь за ноутбуком, победят именно эти пятнадцать часов.
Я думаю, что эта фраза не только про тело.
Мы привыкли считать, что нас м…
❤28🔥13👍11🙏2
Showing the 12 most recent of 23 posts we hold for @regroup_consulting. 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.
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.
⚽️ Канал про лидерство просто не может не задать вам вопрос:
Испания 🇪🇸41%
Аргентина 🇦🇷61%
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 23 most recent posts we hold, published 15 July 2026 to 12 August 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 — 4,518 of 1,480,688entries 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 4 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“CEO рулит I Regroup” (@regroup_consulting), 5,160 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/regroup_consulting.
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.