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Channel
Ассоциация устойчивого развития промышленности
@aurprom_esg
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
317subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001799294524 |
|---|---|
| Type | Channel |
| Username | @aurprom_esg |
| Created | 27 April 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/aurprom_esg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 10:27 | 317 | -2 |
| 8 Aug 2026, 07:32 | 319 | no change |
| 7 Aug 2026, 12:43 | 319 | first reading |
Engagement
20 posts held, back to 6 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 18.9%
- avg views ÷ 317 subscribers
- Avg views / post
- 59.8
- 11 posts measured
- Reaction rate
- 6.25%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 20 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 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (6 July 2026 – 6 August 2026) |
| Views total | 658 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:32 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
28 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 42.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 12 | 42.9% | |
| ❤ | 10 | 35.7% | |
| 👍 | 5 | 17.9% | |
| 🤩 | 1 | 3.57% |
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 8 of the 20 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 6 July 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.
Recent posts
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💥А мы представляем вам новый выпуск Дайджеста за июль’26! В июле жизнь словно выходит на улицы: люди проводят больше времени там, где живут и трудятся, замечая то, что прежде ускользало от их внимания. В связи с этим тема июльского выпуска — развитие территорий присутствия — обретает особую актуальность. Почему это столь значимо? Ведь территория присутствия предприятий — это не просто место, где работник проводит в…
❤1🤩1
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Уважаемые коллеги! 📚Приглашаем вас пройти обучение по нашей программе повышения квалификации «Антикоррупционная экспертиза локальных нормативных актов и их проектов». Экспертиза, которая защитит бизнес! Практические навыки и живые решения. 👥Для кого? • Руководители и специалисты в области противодействия коррупции, комплаенс, юридической службы • Прогрессивные специалисты кадровой службы и документооборота • Студен…
🔥1
Вместе делаем законы об образовании лучше 🤝 Мы продолжаем участвовать в развитии образовательного законодательства. Недавно Рособрнадзор выложил для общественного обсуждения проект эксперимента – планируется мониторить показатели образования с помощью госинформсистем. Мы изучили документ и поняли, как его можно улучшить. Вот что мы предложили разработчикам: 🔹 Учесть корпоративное обучение. Сейчас проект не учитывае…
❤3🔥3👍1
Уважаемые коллеги! 👥На сайте ТПП опубликована совместная статья Анастасии Лядской (АУРПром) и Маргариты Хоменко (Compliance Elements, ОРИЕНТ) по итогам прошедшего мероприятия «Неудобные этические кейсы: о чём мы редко говорим» (18 июня 2026). 🔖Авторы поделились выводами с практикума, а также зафиксировали сдвиг в российской комплаенс-практике. Отдельное внимание в статье уделено формату профессионального взаимодейс…
❤2🔥2
АУРПром присоединяется к Ночному велофестивалю в Москве 🚲 Масштабный заезд, организованный при поддержке Правительства Москвы, стартует 1 августа в 22:00 на улице Зубовская. 💚Мы приглашаем всех сторонников и партнеров, разделяющих принципы экологичного транспорта и устойчивого развития, присоединиться к этому событию. Маршрут велопробега протяженностью 16 километров пройдет по Садовому кольцу. 🌟Ссылка для регистра…
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🎁Для удобства читателей нашего Дайджеста мы делимся аудиофайлом, который является приятным бонусом для наших подписчиков. В подкасте затронута тематика повышения энергоэффективности в дореволюционной России. Озвучена статья из раздела «Авторский материал» (🗣️К.ю.н., директор музея брянских меценатов - И.А. Кеня) Приятного прослушивания!🎶 Подписаться на АУРПром в MAX📲
Ассоциация устойчивого развития промышленности в лице директора Лядской А. В. приняла участие в международном форуме «Антикоррупция: вызовы и решения» Форум прошел 16 и 17 июля. 🗓️В первый день, 16 июля, участниками были рассмотрены и представлены для обсуждения несколько блоков: · Противодействие коррупции в новых реалиях: национальный контроль и глобальный контекст; · Эффективные антикоррупционные механизмы: корп…
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Showing the 12 most recent of 20 posts we hold for @aurprom_esg. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
“Ассоциация устойчивого развития промышленности” (@aurprom_esg), 317 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/aurprom_esg.
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.