Event Management Global — погружаем в мир конгрессных мероприятий и делимся своим 30-летним опытом.
Анонсы мероприятий и актуальные тематические новости.
Наш сайт: https://event-mg.com/
Почта: info@event-mg.com
По рекламе: pr@event-mg.com
Created
Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements spanning 1 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 130–132 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 00:46
131
no change
7 Aug 2026, 16:27
131
first reading
Engagement
16 posts held, back to 5 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
23.3%
avg views ÷ 131 subscribers
Avg views / post
30.5
6 posts measured
Reaction rate
32.6%
reactions ÷ views · ER floor
Posts in window
6
of 16 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 5 of 6 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 7 August 2026
Posts held
16 (5 June 2026 – 7 August 2026)
Views total
183
Reactions total
46
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 00:46 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
165
Videos
15
Links
114
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
5m 54s
Average length
2m 57s
Measured directly from 2 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
137 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 27.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5438174602490585729
37
27.0%
custom 5438334637266998305
34
24.8%
❤🔥
18
13.1%
⚡
15
10.9%
✍
12
8.76%
custom 5440531341240212248
9
6.57%
👍
7
5.11%
🎉
3
2.19%
💯
2
1.46%
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 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 15 of the 16 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 137reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 5 June 2026 to 7 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
1
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @EventManagementGlobal. 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 16 most recent posts we hold for this entry, published 5 June 2026 to 7 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.
🤖 ИИ-библиотека на сайте Форума: 6 книг, которые стоит прочитать
Коллеги, мы собрали для вас подборку книг по искусственному интеллекту — от практических руководств до философских размышлений. На сайте мы публикуем краткие аннотации к каждой, чтобы вы могли выбрать, что стоит взять в работу.
Что в списке:
🔥 «Искусственный интеллект для роста эффективности организации и каждого сотрудника» — Сергей Вотяков, Роман И…
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Продолжаем делиться с вами фрагментами из нашей Энциклопедии управления событийными проектами. Сегодня — о том, что такое продукт в конгрессной деятельности и из чего он складывается.
Что такое продукт конгрессного мероприятия?
Это не просто программа или список спикеров. Это комплекс, который включает:
🔴 содержание и уровень информации, которую несут докладчик…
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Июль оказался богат на законодательные изменения, технологические новинки и важные события. Собрали 10 ключевых инфоповодов месяца.
🤖 Государство и регулирование
1. Правительство масштабирует использование ИИ-помощников. В аппарате Белого дома завершился пилот по использованию ИИ-сервисов. Теперь технологию распространят на все подразделения, а также на федеральные и р…
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26 июля Президент России подписал закон, который вводит правовую основу для разработки и применения больших фундаментальных моделей искусственного интеллекта в стране.
Документ вводит две ключевые категории моделей:
🔴 Суверенная модель — разрабатывается и полностью контролируется российской компанией на всех этапах, технически воспроизводима и размещена в ро…
🦸♂️ Как мы выбираем подрядчиков: внутренний взгляд
Коллеги, ранее в посте о подрядчиках мы рассказывали, какие задачи отдаём на аутсорсинг. Сегодня — о том, как мы выбираем тех, кому доверяем.
На что обращаем внимание в первую очередь:
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Кому можно делегировать задачи?
В ходе подготовки мероприятия часть задач логично отдать на аутсорсинг. Обычно это:
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🌏 Государство и регулирование
1. Российские чиновники массово переходят на ИИ-помощников. В аппарате правительства завершился полугодовой пилот по использованию сервисов от «Сбера» и «Яндекса». Активно сервисы использовали около 80% участников. Теперь …
ИИ — мой второй помощник. Больше никакой рутины: всю «грязную» работу я отдаю машинам, а сам занимаю13%
Беру точечно. Для конкретных задач — черновики, обработка данных, поиск идей. Надёжно, но не везде.50%
Проверяю всё, что он генерирует. Быстрее, но требует перепроверки. Иногда проще сделать самому.13%
Использую локально. Есть решения, но в мои процессы они ещё не встроены.0%
Не заметил(а) разницы. Пока работаю как работал(а). Возможно, перемены ещё впереди.13%
Пока обхожусь без ИИ. И это пока работает.13%
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.
👀 Можно ли закрыть большинство обращений участников форума без колл-центра и постоянного участия оргкомитета?
Проверили на практике вместе с организаторами форума «ИИ — будущее сегодня» — конгрессной компанией ООО «Ивент Менеджмент Глобал».
Встроили AI-ассистента на сайт мероприятия и научили его отвечать на вопросы о программе, спикерах, регистрации, логистике и других организационных моментах. В результате до 80%…
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Коллеги, пока мы разбирали записи и готовили итоговые материалы, наши фотографы успели обработать снимки. Делимся с вами лучшими кадрами с Форума.
Здесь — и пленарные дискуссии, и живые разговоры в кулуарах, и деловые контакты, и улыбки. Настоящая атмосфера III Международного форума «ИИ — будущее сегодня».
💻 Смотреть фото
❗️ Полный архив фото мы направили всем участникам …
📢 Форум в СМИ: что пишут о событии
🧠 III Международный форум «ИИ — будущее сегодня» вызвал живой интерес у профильных изданий. Собрали ключевые публикации — от новостных заметок до экспертных разборов.
Телеканал «Санкт-Петербург» — о том, как прошёл Форум в преддверии ПМЭФ, какие темы стали главными на пленарном заседании и почему 85% ритейлеров уже используют ИИ хотя бы в одной функции.
💻 Смотреть
IT-World — два …
Showing the 12 most recent of 16 posts we hold for @EventManagementGlobal. 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 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
ИИ — мой второй помощник. Больше никакой рутины: всю «грязную» работу я отдаю машинам, а сам занимаю13%
Беру точечно. Для конкретных задач — черновики, обработка данных, поиск идей. Надёжно, но не везде.50%
Проверяю всё, что он генерирует. Быстрее, но требует перепроверки. Иногда проще сделать самому.13%
Использую локально. Есть решения, но в мои процессы они ещё не встроены.0%
Не заметил(а) разницы. Пока работаю как работал(а). Возможно, перемены ещё впереди.13%
Пока обхожусь без ИИ. И это пока работает.13%
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 16 most recent posts we hold, published 5 June 2026 to 7 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 — 1,065,298 of 1,151,006entries 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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ивент Менеджмент Глобал — деловые мероприятия” (@EventManagementGlobal), 131 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/EventManagementGlobal.
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.