Channel
@librowor
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
243subscribers
-3 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001747615385 |
|---|---|
| Type | Channel |
| Username | @librowor |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 3 times, most recently 18 September 2026 |
| On Telegram | t.me/librowor |
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 23 September 2026 and assigned it the closest of 31 fixed categories, at 45% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 06:28 | 243 | -1 |
| 25 Aug 2026, 12:02 | 244 | -1 |
| 17 Aug 2026, 14:54 | 245 | -1 |
| 11 Aug 2026, 05:24 | 246 | no change |
| 10 Aug 2026, 14:01 | 246 | first reading |
15 posts held, back to 2 August 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 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 15 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
152 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 38.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5379749462283402112 | 58 | 38.2% | |
| custom 5442616732545983624 | 43 | 28.3% | |
| custom 5334800134154765409 | 19 | 12.5% | |
| custom 5298941207387325116 | 15 | 9.87% | |
| custom 5316962636758269863 | 9 | 5.92% | |
| custom 5380077301432073456 | 8 | 5.26% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 15 of the 15 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 152 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 2 August 2026 to 9 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.
Я вот узнала что моя сестра готовиться к ЕГЭ у https://t.me/fizikaoge Но! Пользуясь случаем! https://t.me/fedos_kokos_100b - биология на сотку это сюда! Человек кстати женился! Математика: https://t.me/abidybi - у человечка день рождения сегодня и промокоды на обучение!
custom 54426167325459836241
Video message, posted without a caption
custom 53348001341547654093custom 54426167325459836242
Краткий отчет о том, что я больше никогда не спрошу у этой дамы: «а когда свадьба то уже?» Будьте счастливы и любите друг друга ❤️ добивайтесь всего, берегите друг друга
custom 53797494622834021129custom 53348001341547654094custom 54426167325459836243
Photo, posted without a caption
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У всех работ с ночными сменами есть суеверие: нельзя желать хорошей смены, доброй ночи, вечера - чего угодно Но есть контакты с людьми в любом случае, и общепринято желать это самое «хорошего вечера» (Курьеры, клиники - все) Так вот, сегодня мне в конце звонка этого и пожелали И сука! Оно в очередной раз сработало 😂
custom 52989412073873251168
Я считаю компенсирована работа!
custom 52989412073873251167custom 53169626367582698636custom 54426167325459836242
Photo, posted without a caption
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Photo, posted without a caption
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Главный темщик моей жизни
custom 53797494622834021126
Video message, posted without a caption
custom 54426167325459836244
Photo, posted without a caption
custom 54426167325459836245custom 53797494622834021121
Это мы вчера вино пили Сейчас уже жду Настю том ям ехать кушать
custom 544261673254598362411custom 53797494622834021123custom 53348001341547654092
Showing the 12 most recent of 15 posts we hold for @librowor. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“Аннушка” (@librowor), 243 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/librowor.
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.