Channel
@artyom_beryozkin
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
105subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001323471679 |
|---|---|
| Type | Channel |
| Username | @artyom_beryozkin |
| Description | Директор Представительства Президентской академии в Тюменской области Руководитель Центра компетенций Тюменской области По всем вопросам: https://t.me/artyomberyozkin |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/artyom_beryozkin |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 09:01 | 105 | no change |
| 8 Aug 2026, 08:30 | 105 | first reading |
9 posts held, back to 7 February 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 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.
| Window | Rolling 30 days · latest post in window 25 July 2026 |
|---|---|
| Posts held | 9 (7 February 2026 – 25 July 2026) |
| Views total | 40 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 09:01 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.
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.
31 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 32.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 32.3% | |
| 🔥 | 8 | 25.8% | |
| ❤🔥 | 5 | 16.1% | |
| 😁 | 4 | 12.9% | |
| 👍 | 2 | 6.45% | |
| 👏 | 1 | 3.23% | |
| 💯 | 1 | 3.23% |
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 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 31reactions 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 7 February 2026 to 25 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.
Родной Тюмени 440 лет! Вся моя жизнь неразрывно связана с этим удивительным городом и мне безумно интересно, каким он будет дальше. Здесь живут неравнодушные люди с настоящим, закалённым характером. В Тюмени возможно многое: здесь каждый найдёт всё для реализации своих идей. Это город с богатой историей — первый русский город в Сибири, город трудовой доблести. Но главное — он никогда не останавливается. Каждый день…
❤🔥2❤1
⭐️ Проект «Боевой кадровый резерв Тюменской области» готовится к четвертому образовательному модулю Своими наблюдениями о ходе программы поделился директор Представительства Президентской академии в Тюменской области Артём Березкин. Он работает с участниками на протяжении всего проекта: «Участники отличаются высокой мотивированностью и вовлеченностью в образовательный процесс, ни на одном модуле ни один спикер не ух…
❤1
С Днём России! 🇷🇺 Нашу страну объединяет её богатая, многогранная история и более 190 народов с их уникальными культурами. Мы не просто наследники прошлого, а активные участники настоящего. Историю России прямо сейчас создаёт каждый из нас. Каждый день. Своими поступками, решениями, трудом. Пусть этот праздник подарит заряд энергии, веры в свои силы и вдохновение для новых свершений! 📸 Тюменская область.рф 👻 МАХ…
❤2
🌷 С Праздником Весны и Труда! ⭐️ Вчера, 30 апреля, мы завершили третий модуль программы «Боевой кадровый резерв Тюменской области» – программы, которая напоминает о том, что настоящий труд – это служение людям и родной земле. 📚 Модуль о региональном и муниципальном управлении выдался одним из самых сложных и увлекательных. За 11 дней – больше 50 мероприятий в Тобольске и Тюмени. 💡 Мы погрузились в темы, связанные …
👏1💯1🔥1
Пока собирал вещи после аттестации, в аудиторию зашёл студент, которого я раньше не встречал. Как выяснилось, он учится на 2 курсе по направлению «История». Начали с сугубо технического вопроса про расписание, а закончили сравнением Замятина, Оруэлла и Хаксли. Такое может случиться только в Университете🎓 👻 МАХ | 💙 ВК
🔥5😁4❤🔥3
🤩 Завершился первый Международный конгресс государственного управления! Это одно из самых содержательных мероприятий, на которых я побывал за последнее время. 4 дня – и ни одной пустой сессии. Поднимали сложные вопросы: - как сделать госуправление эффективнее, - как готовить управленческие кадры нового формата, - какие компетенции нужны сегодня, - как нужно обновлять образовательные программы. 🙂 Кроме того, во вре…
Меньше суток остаётся до старта первого Международного конгресса государственного управления. Сейчас в Президентской академии идут финальные приготовления. В течение четырёх дней вместе с представителями федеральной и региональной власти, муниципалитетов, экспертного сообщества, бизнеса и общественных институтов будем обсуждать, каким должно быть государственное управление в новой реальности, делиться опытом и искат…
❤1
🔬 С Днём российской науки, друзья! В этот день в 1724 году была основана Российская академия наук – крупнейший в стране центр фундаментальных исследований. Сегодня государство активно поддерживает исследования, а учёные создают технологии, которые влияют на жизнь каждого. От всей души поздравляю всех причастных: от студентов до академиков! Ваш труд — это мост в будущее. Желаю вам дерзких идей и новых открытий, кот…
❤2
⭐️ На днях завершился второй модуль образовательной программы проекта «Боевой кадровый резерв Тюменской области». Тема – «Экономика и финансы». Модуль – это не просто теория. На каждом событии мы разбирались, как работает экономика страны и региона. Это важный шаг в подготовке участников к управленческой деятельности. За 11 дней мы провели более 50 мероприятий академического, личностно-профессионального и культурно…
❤3👍2🔥2
Showing the 9 most recent of 9 posts we hold for @artyom_beryozkin. 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.
Citation-graph rank — 1,170,126 of 1,345,403entries 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.
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.
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.
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.
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.
“Артём Берёзкин | Молодёжная политика и управление” (@artyom_beryozkin), 105 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/artyom_beryozkin.
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.