Channel
@sreda_academy
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
936subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001287919881 |
|---|---|
| Type | Channel |
| Username | @sreda_academy |
| Created | 30 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/sreda_academy |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 16:07 | 936 | -3 |
| 6 Aug 2026, 13:51 | 939 | no change |
| 6 Aug 2026, 11:46 | 939 | first reading |
9 posts held, back to 16 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 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 5 August 2026 |
|---|---|
| Posts held | 9 (16 July 2026 – 5 August 2026) |
| Views total | 802 |
| Reactions total | 110 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 13:51 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.
124 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 33.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 42 | 33.9% | |
| ❤ | 33 | 26.6% | |
| 👍 | 25 | 20.2% | |
| 👏 | 13 | 10.5% | |
| ⚡ | 6 | 4.84% | |
| 🙏 | 3 | 2.42% | |
| 🤝 | 2 | 1.61% |
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 9 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 124reactions 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 16 July 2026 to 5 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.
Главное за июль: проекты и экспертиза «Среды» Июль Академии прошел в фокусе стратегического развития территорий, креативной экономики, городских сообществ, инвестиций, зеленой инфраструктуры, туризма и качества жизни в городах. «Среда» выпускала экспертные материалы, участвовала в форумах и стратегических сессиях, работала с региональными и муниципальными командами и делилась практиками развития территорий. Собрали …
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💡 Бизнесу нужна идея: как муниципалитету подготовить проект для инвестора Инвестор редко приходит на территорию с уже готовым проектом. Чтобы заинтересовать бизнес, муниципалитету важно самому определить перспективную идею, оценить ее экономику и показать, почему именно здесь проект может быть успешным. 📄 В новой статье эксперты «Среды» рассказывают, как муниципалитету перейти от фазы ожидания инвестора к активному…
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«Среда» помогла Сарапулу выбрать вектор развития ✍️ «Среда» рада поделиться новым отзывом о своей работе над стратегией социально-экономического развития Сарапула до 2036 года. В основе проекта лежала не просто подготовка стратегического документа, а выбор модели будущего для города. Вместе с администрацией Сарапула команда «Среды» рассмотрела три стратегические альтернативы: 🏡 комфортная городская среда – город к…
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Льготы в обмен на инвестиции Руководитель «Среды» Юлия Зубова в своей авторской колонке для журнала "Среда для жизни" раскрыла ключевые принципы обновления механизмов государственной поддержки бизнеса. В этих условиях именно принцип соразмерности выступает тем самым инструментом, который обеспечивает гармоничное развитие экономики и укрепление технологического суверенитета. ‼️Основные тезисы материала: • Принцип с…
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💡 Креативная неделя в аналитике «Среды»: тренды, меняющие территории 📍 Два дня креатива – и ни минуты без анализа. 17–18 июля команда Академии «Среда» участвовала в дискуссиях Российской креативной недели в Москве. На одной из ключевых федеральных площадок, посвященных развитию креативной экономики, эксперты Академии следили за главными темами и собирали свои «заметки на полях» о трендах, которые уже сегодня задают …
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🏭 От города-завода к городу для жизни: «Среда» на Креативной неделе 17 июля на Российской креативной неделе @creativecontext прошла сессия «Человек моногорода: новые сценарии жизни промышленных территорий». Участники обсудили, как промышленным городам создавать среду, в которой хочется не только работать, но и жить, растить детей и строить планы на будущее. 🎤 Экспертом сессии выступила Юлия Зубова, генеральный дире…
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🤝 Сообщества как соавторы города: «Среда» на Креативной неделе 17 июля в рамках Российской креативной недели @creativecontext прошла сессия «Активный класс: представительство новых профессий и городских сообществ». Участники обсудили, как перейти от отдельных инициатив активных жителей к устойчивой системе их участия в развитии территорий. 🎤 Экспертом сессии выступила генеральный директор Академии городских техноло…
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🧭 Повышаем экспертизу, расширяем возможности проектов Команда Академии городских технологий «Среда» приняла участие в интенсиве «Специальный инвестиционный контракт (СПИК): правила заключения, особенности подготовки заявки. Практика». Образовательное мероприятие прошло 16 июля в Городских лабораториях ВЭБ.РФ. 🏭 СПИК – это долгосрочное соглашение между инвестором и государством. Инвестор берет на себя обязательства …
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📚 Летняя библиотека: 5 книг, после которых вы иначе посмотрите на город Макушка лета – это эпицентр сезона отпусков, дачных вояжей и низкого делового сезона. Но даже в таком расслабленном периоде можно найти время для просвещения и обучения, скажем, взять книгу в дорогу, прочитать несколько глав, сидя в кресле на веранде, или послушать аудиоверсию во время прогулки. «Среда» собрала пять книг о городах, людях, перем…
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Showing the 9 most recent of 9 posts we hold for @sreda_academy. 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 — 601,845 of 1,480,944entries 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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Академия СРЕДА” (@sreda_academy), 936 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/sreda_academy.
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.