Channel
@bookbon
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
152subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001872412292 |
|---|---|
| Type | Channel |
| Username | @bookbon |
| Description | привет, книголюб, меня зовут варя, но ты можешь звать меня руби♦️ ты попал в бисерную сумочку гермионы 👛 тут есть все: обзор книг, кофемания, обсуждения кино, кошки, эпизоды из жизни, распаковки, юмор, клуб романтики и море 💕🌊☕️ личный акк: @ruby_whit |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/bookbon |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 19:31 | 152 | no change |
| 7 Aug 2026, 10:28 | 152 | first reading |
14 posts held, back to 22 May 2025 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 8 March 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
696 reactions across 14 posts, in 16 distinct kinds. The most used accounts for 14.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5440568393923044544 | 102 | 14.7% | |
| custom 5257971883717968848 | 101 | 14.5% | |
| custom 5188324406283225349 | 91 | 13.1% | |
| custom 5258228164416523454 | 72 | 10.3% | |
| custom 5325542899083918623 | 49 | 7.04% | |
| custom 5416025069598036309 | 47 | 6.75% | |
| custom 5345790457249029190 | 37 | 5.32% | |
| custom 5375369437455072970 | 34 | 4.89% | |
| custom 5258403450621808719 | 33 | 4.74% | |
| custom 5346175290613719398 | 33 | 4.74% | |
| custom 5474372986293208618 | 20 | 2.87% | |
| custom 5368546293494863185 | 18 | 2.59% | |
| custom 5314285510628231350 | 17 | 2.44% | |
| custom 5384142603941868840 | 17 | 2.44% | |
| custom 5224320368277207563 | 13 | 1.87% | |
| custom 5346079757656152900 | 12 | 1.72% |
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 areTelegram’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 14 of the 14 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 696reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 22 May 2025 to 8 March 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bookbon. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 14 most recent posts we hold for this entry, published 22 May 2025 to 8 March 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
приветули, мои бусинки ❤️🌹 поздравляю вас с праздником, с 8 марта. оставайтесь всегда такими же прекрасными и невероятными. помните, что вы — лучшие 🌸🌼
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Video message, posted without a caption
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⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️ доброго полудня, хотела айлбибэкнуться вчера, но негоже покушаться на святой день шуфутинского. 3 сентября бывает раз в году, сколько бы раз календарь ты не перевернул. так вот, мои скромные итоги лета как такового, весьма удручающие. оно вышло одним из самых скучных, тяжёлых, нервных и безликих. к сожалению. меня штормило от «ветрянка, сэр» и стирки паспорта до огромного переезда, паничек и ремонто…
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спойлер: я купила обе 🙊🪄🖤⭕️ #мемотмужа
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наконец-то у меня есть настроение шутить над этим, потому что впервые за последние дни я чувствую себя не в аду, ну, малопонятного конечно, но хотя бы уже хочется что-то читать, смотреть 🤍😈 начала сегодня «убийства в пляжных домиках» питера боланда, про кексики не читала, поэтому пока не понимаю до конца взаимоотношения героев и их самих. но я в самом начале, так что думаю, что дело еще наберет обороты. а кексики уж…
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🥐💚🐳🤍💛 чуток поздновато, но решила подвести книжные итоги за два месяца. удивительно, но у меня наконец-то получилось прочесть не только первую книгу цикла. я смогла продлить аж две серии: китайские детективы о профайлере фан му, а так же фэнтези канашибари. еще теплые деньки встретила с парочкой романтических произведений, одной детской и мистической книгой. 🤩🤩🤩 🔴«профайлер» лэй ми; 🔵«общество мертвых бойфрендов» е…
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о, мерлин, помоги этому каналу пережить игнорирование собственным создателем 🤩🤩 это уже похоже на какой-то мем: я пропадаю — появляюсь на неделю — исчезаю на месяц. хотелось бы вам объяснить причины такого поведения, но тогда пост превратится в трагикомедию, а я, увы, не шекспир. так поэтично у меня не получится, поэтому ограничусь *она загадочно улыбнулась и в край $%#₽&лась* 🤩🤩🤩🤩🤩🤩🤩🤩 удивительно, что все еще не о…
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тут должен быть заголовок 💙❤️💚💙❤️💚💙❤️💚💙❤️ прошлой весной я прочитала в электронном формате «канашибари» ангели,вероники шен 👹👹 тогда эмоции касательно книги мне были непонятны: вроде хорошо, а вроде как что-то напоминает, еще и очередной цикл, как всегда. в январе я посмотрела дораму [у меня было острое голодание после «игры в кальмара» и срочно нужна была подпитка] «алису в пограничье» и все, поняла откуда растут …
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ну, что, как вам? 🤣
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НВО официально показали миру новых Гарри, Гермиону и Рона! Что за нейросетевые чуваки?! Я никогда не променяю вас на золотое трио 2001-2011! Ладно, шучу. Подобрали очень милых ребят на роли золотого трио. И даже не забыли про канонные зубки Гермионы. Правда Гермиона теперь латино, но то вполне сносно. Я буквально кожей чувствую, как это новость взбудоражила не только мир поттероманов, но и вышла далеко за границы фа…
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🫀🤵♀️супчик и новая книга, что еще нужно для радости!? 🤡😅 за май накопилось чуток снимков, которые должны выйти в свет 😂 найти бы еще время и внутренние ресурсы для постов 🤩 давно хотела на полочку «маму кукол» майи эдлин. вот моя мини мечта исполнилась, подруженька подарила мне ее на день рождение [правда со всей «взрослой» жизнью встретиться мы смогли только в мае 🤔]. светик, мурсии 🌟🌟 попадались положительные о…
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Showing the 12 most recent of 14 posts we hold for @bookbon. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 788,759 of 1,189,255entries 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“книги и точка.” (@bookbon), 152 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/bookbon.
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.