Telegram RegisterThe public register of Telegram

Channel

Добро.рф | Ассоциация

@avc_rf

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,232subscribers

-10 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001864820843
TypeChannel
Username@avc_rf
Created30 September 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/avc_rf

Growth

6,2326,2426,2376 August 2026 — 6,242 subscribers6 August 2026 — 6,242 subscribers9 August 2026 — 6,235 subscribers12 August 2026 — 6,232 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -10. 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 6,231–6,244 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 05:236,232-3
9 Aug 2026, 09:516,235-7
6 Aug 2026, 10:306,242no change
6 Aug 2026, 09:586,242first reading

Engagement

18 posts held, back to 23 July 2026the 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
4.60%
avg views ÷ 6,232 subscribers
Avg views / post
287
18 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 17 of 18 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held18 (23 July 202611 August 2026)
Views total5,165
Reactions total73
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:24 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 07s
Average length
2m 04s

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

73 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 45.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3345.2%
🔥1824.7%
👍1520.5%
🎉45.48%
😁22.74%
💯11.37%

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 17 of the 18 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 73reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 23 July 2026 to 11 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

11 Aug 2026, 15:34 UTC121 views2 reactionsread 12 August 2026
Forwarded from @dobrinoPhoto

Добро.Центры по всей стране выходят на новый уровень 🙌 Сегодня в Ханты-Мансийске в Национальном центре «Россия» в Югре стартовал образовательный интенсив для новых Добро.Центров. Почти 100 представителей Добро.Центров из разных регионов собрались на площадке Академии «Добрино», чтобы обменяться опытом, разобраться в единых стандартах работы и найти практические решения для развития своих организаций. В течение тре

2

11 Aug 2026, 10:15 UTC124 views6 reactionsread 12 August 2026
Forwarded from @d_o_b_r_o_r_u

Posted without readable text

🎉42

10 Aug 2026, 15:15 UTC287 views9 reactionsread 12 August 2026
Photo

🐾 Бежим ради добра! Команда Добро.рф присоединилась к благотворительному забегу «Беги за другом», который фонд «НИКА» провёл в поддержку бездомных животных. Наши коллеги вышли на дистанцию 2 км, а заместитель руководителя Департамента проектов и событий Добро.рф Олеся Жукова пробежала её вместе со своим питомцем Пандой 😍 Этот день объединил спорт, волонтёрство и заботу о животных. Команда Добро.рф участвовала в ма

5👍2🔥2

10 Aug 2026, 12:02 UTC215 views4 reactionsread 12 August 2026
Photo

Какие книги познакомят участников МФМ-2026 с Россией? ✔️ У каждого есть произведение, которое оставило след в сердце. Теперь оно может отправиться в путешествие и стать первым знакомством с нашей культурой для человека из другой страны. Присоединяйтесь к акции и подарите русскую классику участникам МФМ-2026! 🔘 Выберите книгу русской классической литературы на английском, французском, испанском, немецком, китайском

2👍1🔥1

7 Aug 2026, 12:15 UTC294 views4 reactionsread 12 August 2026
Photo

Добро.Центр — это место, в которое хочется возвращаться. Как сделать Добро.Центры ещё сильнее и полезнее для людей, обсудили сразу в нескольких регионах страны 👇 📍Челябинская область. III Региональная конференция «Добро.Центры» 🔘На трехдневной стратсессии специалисты создают дорожную карту развития Добро.Центров на 2027 год, чтобы лучшие идеи после конференции стали реальными изменениями в муниципалитетах. 🔘Ресур

🔥21👍1

6 Aug 2026, 14:50 UTC220 views4 reactionsread 10 August 2026
Forwarded from @vklvmestePhoto

⚡В Центре знаний «Машук» состоялось официальное открытие установочного семинара-совещания для координаторов добровольческой деятельности в вузах Приветственные выступления федеральных экспертов задали настрой и вектор дальнейшей работы: в ближайшие дни участникам предстоит выработать единый план достижения национальной цели по вовлечению не менее 45% молодежи в добровольческую и общественную деятельность к 2030 году

2👍1🔥1

5 Aug 2026, 15:19 UTC236 views3 reactionsread 10 August 2026
Video

За последние 5 лет интерес к наставничеству в России вырос вдвое. Количество запросов о наставничестве в поисковиках за 5 лет выросло с 912 тысяч до 1,5 млн, а количество поданных заявок на Наставник.рф — уже более 32 тысяч. ⏩ Активнее всего наставничеством интересуются в больших городах: Москве, Санкт-Петербурге, Новосибирске, Краснодаре и Екатеринбурге. Подробнее об этом читайте в материале Добро.Медиа. И смотр

1💯1🔥1

4 Aug 2026, 09:40 UTC226 views3 reactionsread 10 August 2026
Forwarded from @d_o_b_r_o_r_uPhoto

Большое исследование психологического благополучия волонтёров от МГУ и Добро.рф Проходи — и получай: 🔘 Свои копинг-стратегии — какие из 15 ты используешь чаще всего. 🔘 Вовлеченность — живешь ли ты своей деятельностью. 🔘 Контроль — веришь ли, что твои усилия что-то меняют. 🔘 Принятие риска — готов ли действовать без гарантий. 🔘 Самоэффективность — твоя вера в свои силы (реальные измерения). 🔘 Уровень тревоги и депре

1👍1🔥1

3 Aug 2026, 13:30 UTC259 views1 reactionsread 10 August 2026
Photo

Как НКО понять, действительно ли она меняет жизнь благополучателей? Собрать статистику о количестве участников, мероприятий и выданной помощи — важно. Но это еще не отвечает на главный вопрос: что изменилось в жизни людей благодаря нашей работе? Не путайте три разные вещи: ✅ Мониторинг — что мы сделали? Например: провели 50 занятий, приняли 200 обращений, выдали 100 наборов. ✅ Оценка результатов — что получили уча

1

31 Jul 2026, 12:00 UTC342 views7 reactionsread 10 August 2026
Photo

III Международный Санкт-Петербургский джазовый фестиваль — всё! ⏩ Он прошёл под руководством Игоря Бутмана вновь подтвердил свой масштаб, собрав более 210 тысяч зрителей – это рекордный показатель за всю историю проекта. На площадке по традиции работали волонтёры культуры: 300 добровольцев из пяти городов России провели более 5 000 часов на восьми площадках, помогая организаторам, артистам и гостям. «Многие гости

👍3🔥3😁1

30 Jul 2026, 16:11 UTC253 views3 reactionsread 6 August 2026
Forwarded from @artemmetelevPhoto

1,8 млрд рублей - поддержка добровольчества в 2025 году Провели исследование вместе с Минэкономразвития. За пять лет объем финансирования вырос в 2,3 раза. При этом в среднем на один регион приходится около 22 млн рублей в год, без учета Москвы. Это позитивная динамика, но уровень поддержки пока остается разным. Есть регионы, где финансирование минимально. Так, в 2025 году ВСЕГО до 0,5 млн рублей было предусмотрено

2😁1

Showing the 12 most recent of 18 posts we hold for @avc_rf. 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

Citation-graph rank — 258,011 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

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 7 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Добро.рф | Ассоциация” (@avc_rf), 6,232 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/avc_rf.

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.