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Channel

Библиотека Крупской

@drunbk

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cross-platform identity · Cite this entry

426subscribers

-6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001387025208
TypeChannel
Username@drunbk
Created27 September 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/drunbk

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 36% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

425432428.56 August 2026 — 432 subscribers6 August 2026 — 432 subscribers20 August 2026 — 431 subscribers28 August 2026 — 427 subscribers4 September 2026 — 425 subscribers12 September 2026 — 426 subscribers4266 August 202612 September 2026
6 measurements spanning 37 days, net -6. 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 424–433 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 06:19426+1
4 Sept 2026, 05:37425-2
28 Aug 2026, 00:19427-4
20 Aug 2026, 07:02431-1
6 Aug 2026, 19:19432no change
6 Aug 2026, 10:01432first reading

Engagement

4 posts held, back to 15 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 4 posts for this entry, the most recent from 18 April 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

23 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 56.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1356.5%
🔥834.8%
28.70%

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 4 of the 4 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 4 most recent posts we hold, published 15 April 2026 to 18 April 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

18 Apr 2026, 13:28 UTC259 views7 reactionsread 6 August 2026
Photo

✍18 апреля 2026 года сектор популяризации русского языка и культуры Донецкой библиотеки имени Н.К. Крупской стал площадкой проведения Всемирной акции «Тотальный диктант». 🤝 Культурно-просветительская акция в форме добровольного диктанта ежегодно объединяет миллионы: волонтеров, организаторов, участников – и становится выражением их любви к русскому языку и культуре. 📝Донецкая Народная Республика с 2015 года активно

👍32🔥2

18 Apr 2026, 12:24 UTC190 views11 reactionsread 6 August 2026
Photo

🎉«Библионочь» в Донецкой библиотеке имени Н.К. Крупской стартовала ярко и празднично! ✅Открылись творческие, игровые и познавательные площадки, посвященные главной теме года — единству народов России. Концертная программа, мастер-классы, интерактивные выставки, экскурсии и вернисаж национальных костюмов увлекли наших гостей в водоворот «Библионочи». ❗Мероприятия в стенах библиотеки проходят до 17:00, приглашаем все

🔥6👍5

17 Apr 2026, 06:42 UTC171 views3 reactionsread 6 August 2026
Forwarded from @MikhailZheltyakovPhoto

В эти дни работаю в Калининградской области, на Балтийском культурном форуме — 2026. Форум традиционно собирает на одной площадке профессионалов, экспертов, представителей власти и деятелей искусств. Главная задача дискуссии — сверить часы и раскрыть перспективы развития сферы культуры как в отдельно взятом регионе, так и в масштабах всей страны. Ключевым мероприятием первого дня для руководителей органов управлени

👍3

15 Apr 2026, 17:45 UTC128 views2 reactionsread 6 August 2026
Forwarded from @MikhailZheltyakovPhoto

Уважаемые работники культуры и жители Республики! 22 апреля 2026 года в 10:00 проведу прямую линию. Прямой эфир пройдет в канале Министерства культуры Донецкой Народной Республики в социальной сети ВКонтакте. Ваши вопросы присылайте на адрес электронной почты: [email protected] с пометкой «вопросы на прямую линию».

👍2

Showing the 4 most recent of 4 posts we hold for @drunbk. 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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q4166186 on Wikidata, read 13 September 2026
LabelKrupskaya library in Donetsk
Descriptionlibrary
YouTubeUC2pjMy55nwnZLjgoWcUoaBw
Official sitehttp://lib-dpr.ru/

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

“Библиотека Крупской” (@drunbk), 426 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/drunbk.

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.