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Telegram profile photo for omg books [18+]

Channel

omg books [18+]

@omg_boooks

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

9,721subscribers

-114 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001977989654
TypeChannel
Username@omg_boooks
DescriptionСТРОГО 18+ Твоя грязная библиотека❤️‍🔥 Немножко очень сильно визжу по книгам и не только😻 Резерв в Вк: https://vk.ru/omg_books Резерв тг: https://t.me/+sIlwYNYofNAyNzJi
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/omg_boooks

Topic

Literature — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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 the other topics.

Growth

9,7219,8359,7787 August 2026 — 9,835 subscribers7 August 2026 — 9,835 subscribers8 August 2026 — 9,833 subscribers11 August 2026 — 9,826 subscribers15 August 2026 — 9,818 subscribers18 August 2026 — 9,816 subscribers21 August 2026 — 9,804 subscribers24 August 2026 — 9,801 subscribers27 August 2026 — 9,795 subscribers30 August 2026 — 9,788 subscribers2 September 2026 — 9,790 subscribers6 September 2026 — 9,787 subscribers11 September 2026 — 9,777 subscribers14 September 2026 — 9,766 subscribers19 September 2026 — 9,765 subscribers28 September 2026 — 9,751 subscribers5 October 2026 — 9,743 subscribers12 October 2026 — 9,742 subscribers15 October 2026 — 9,740 subscribers17 October 2026 — 9,742 subscribers20 October 2026 — 9,738 subscribers23 October 2026 — 9,733 subscribers26 October 2026 — 9,734 subscribers29 October 2026 — 9,731 subscribers1 November 2026 — 9,727 subscribers4 November 2026 — 9,721 subscribers7 August 20264 November 2026
26 measurements spanning 89 days, net -114. 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 9,704–9,852 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
4 Nov 2026, 08:569,721-6
1 Nov 2026, 16:469,727-4
29 Oct 2026, 14:299,731-3
26 Oct 2026, 12:449,734+1
23 Oct 2026, 07:399,733-5
20 Oct 2026, 13:109,738-4
17 Oct 2026, 21:149,742+2
15 Oct 2026, 07:069,740-2
12 Oct 2026, 13:569,742-1
5 Oct 2026, 21:169,743-8
28 Sept 2026, 15:009,751-14
19 Sept 2026, 05:179,765-1
14 Sept 2026, 20:419,766-11
11 Sept 2026, 08:399,777-10
6 Sept 2026, 08:169,787-3
2 Sept 2026, 03:469,790+2
30 Aug 2026, 13:339,788-7
27 Aug 2026, 11:339,795-6
24 Aug 2026, 21:249,801-3
21 Aug 2026, 06:149,804first reading

Engagement

108 posts held, back to 3 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 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.7%
avg views ÷ 9,721 subscribers
Avg views / post
1,240
28 posts measured
Reaction rate
2.65%
reactions ÷ views · ER floor
Posts in window
28
of 108 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 November 2026
Posts held108 (3 August 2026 – 6 November 2026)
Views total34,681
Reactions total919
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 09:54 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

Photos
≈2,770
Videos
≈336
Links
≈1,910

Lifetime counters from Telegram’s own channel header, read 7 November 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.

Video runtime
1m 35s
Average length
14s

Measured directly from 7 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

3,442 reactions across 108 posts, in 18 distinct kinds. The most used accounts for 52.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,82052.9%
🍓81623.7%
❤‍🔥35110.2%
🔥1524.42%
🥰571.66%
💘511.48%
👍371.07%
😈270.784%
😍260.755%
🤩250.726%
😁230.668%
💋220.639%
🤣150.436%
👏50.145%
😘50.145%
🌚40.116%
⚡30.087%
💯30.087%

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 108 of the 108 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 3,442 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 108 most recent posts we hold, published 3 August 2026 to 6 November 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
2
of 108 we hold a reading for · 2%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @omg_boooks. 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 108 most recent posts we hold for this entry, published 3 August 2026 to 6 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 28 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 17:10 UTC356 views40 reactionsread 7 November 2026
Forwarded from @bookishheart_321Photo

🕕🕦🕕 ГОТОВЫЙ 🕖🕖 🕕🕖🕖 ПЕРЕВОД 🕧🕖 Книга: В другой жизни Автор: Кэндис Райт Серия: Мотоклуб «Души Воронов» - 5 🤩🤩🤩🤩🤩🤩🤩🤩 АННОТАЦИЯ • ТРОПЫ 1. Покойся по кусочкам 2. Хорошая девочка 3. Первый надрез 4. Всё, что блестит 🤩🤩🤩🤩🤩🤩🤩🤩 Всем приятного чтения и СПАСИБО каждому за РЕАКЦИИ ❤️‍🔥 С любовью, команда 🤩🤩🤩🤩🤩🤩🤩🤩 📉📉📉 🔤🔤 📉📉 📉 🔤🔤🔤 📉📉 📉 🔤🔤🔤

❤20🍓10❤‍🔥5🤩3🤣1😍1

5 Nov 2026, 18:34 UTC725 views26 reactionsread 7 November 2026
Photo

🥀Книга: "Сломать её"🥀 Автор: Ева Маркс ⏺Герой психиатр ⏺Разница в возрасте (41/22) ⏺Отец лучшей подруги ⏺Секс под гипнозом ⏺Похититель & Пленница ⏺Морально серый герой ⏺Секс-игрушки ⏺Одержимый главный герой 👁️‍🗨️Влюбиться в неё было неправильно. Но это ничто по сравнению с тем, что я собираюсь сделать… 👁️‍🗨️Я — ходячее противоречие. 👁️‍🗨️Известный психиатр. Преданный отец-одиночка. С виду хороший человек. Но под вс…

❤16💋5🍓3🥰2

5 Nov 2026, 18:28 UTC693 views30 reactionsread 7 November 2026
Photo

🎀Книга: "Замужем за мафией"🎀 Автор: Люси Смоук ❤️Мафия ❤️Темная романтическая комедия ❤️Брак по принуждению ❤️Безумная главная героиня ❤️Вынужденная близость ❤️Обретенная семья ❤️У героини СДВГ 👁️‍🗨️Что будет, если запереть в одной комнате ничего не подозревающую официантку, мертвую невесту и половину списка самых разыскиваемых преступников ФБР? Персональный кошмар Дейзи Тернер. 👁️‍🗨️Когда она соглашалась обслужива…

❤20🥰5💋3🍓2

5 Nov 2026, 18:24 UTC620 views30 reactionsread 7 November 2026
Photo

🎀Книга: "Бу! Любовь по соседству"🎀 Автор: Энни Карлайл 🟠От соперников к возлюбленным 🟠Маленький городок 🟠Соседи 🟠Пожарный-доброволец 🟠Вынужденное сотрудничество 🟠Он влюбился первым 🟠Хэллоуинская романтика 🟠Забота через поступки 👁️‍🗨️Лайла Мерривезер зарабатывает на жизнь созданием монстров. Точнее, зарабатывала, пока руководство парка развлечений не решило закрыть весь ее отдел. Теперь она вернулась в Холлоу-Крик с…

❤21💋4🥰3🍓2

5 Nov 2026, 18:16 UTC609 views23 reactionsread 7 November 2026
Photo

🥀Книга: "Некроманс"🥀 Автор: Кора Рейвен ⏩️Готическая романтика ⏩️Героиня-некромант ⏩️Измученный герой ⏩️Призраки и привидения ⏩️Медленное развитие отношений ⏩️Мрачные тайны прошлого ⏩️Вынужденная близость ⏩️Проклятый герой ⏩️Любовь с призраком ⏩️Проклятый замок ⏩️Запретное влечение ⏩️Остроумные перепалки и флирт ⏩️Древнее семейное проклятие ⏩️Любовь сильнее проклятия 👁️‍🗨️Когда энергичную и дерзкую некромантку Мию …

❤18🍓5

5 Nov 2026, 18:09 UTC606 views26 reactionsread 7 November 2026
Photo

🌸Книга: "Злобный ангел"🌸 Автор: Мина Мосс Серия: "Украденная преданность" – 1 (Про разных героев) 💟От вражды к любви (односторонняя) 💟Морально серые героиня и герой 💟Вор x вор 💟Дарк-ком 💟Он влюбляется первым 💟Герой в маске 💟Месть 💟Героиня в бегах 💟Мститель 💟Найденная семья 💟Защищающий, собственнический и одержимый герой 💟Ограбления и авантюры 💟«Тронешь её — умр*шь» 💟Шлепки 💟Следы и укусы 💟Только одна кровать 👁️‍🗨️Ч…

❤20⚡3🍓3

5 Nov 2026, 18:01 UTC724 views35 reactionsread 7 November 2026
Photo

🦋Книга: "Пустой"🦋 Автор: Кэролайн Пекхэм, Сюзанна Валенти Серия: "Корона сердец и хаоса" – 1 (Про одних героев) 💙От врагов к возлюбленным и обратно 💙Вынужденная близость 💙Тайная личность 💙Уникальная магическая система 💙Мрачная атмосфера 💙Смертельные испытания 💙Мир на грани гибели 💙Заколдованный лес 💙Духи животных-помощников 💙Героиня, готовая на всё 💙Он влюбляется первым и сильно 💙Он одержим ею 💙Разница в возрасте на…

❤28🍓7

4 Nov 2026, 20:04 UTC928 views27 reactionsread 7 November 2026

Я так надолго пропала, что даже стыдно уже......😥

❤23🍓2👍2

2 Nov 2026, 03:10 UTC≈1,370 views18 reactionsread 7 November 2026

Девочки посоветуйте стекло где мгг жестокий

❤14🍓4

29 Oct 2026, 20:36 UTC≈2,060 views32 reactionsread 7 November 2026

Блин девчята жоска захотелось прочитать книгу про так скажем мощного секи шмеки военного и невинную жгг 😁, посоветуйте плиз 🙏

👍16❤11🍓4❤‍🔥1

29 Oct 2026, 20:29 UTC≈2,020 views25 reactionsread 7 November 2026
Photo

☄️Книга: "Друг по обстоятельствам"☄️ Автор: Лира Пэриш Серия: "Billionaire situation" – 2 (Про разных героев) 🌟От друзей к возлюбленным 🌟Фиктивная помолвка 🌟Он влюбляется первым и сильнее 🌟Страх любви 🌟Скрытая дружба и отношения 🌟Остроумные перепалки и флирт 🌟Обаятельный миллиардер и остроумная героиня 👁️‍🗨️После того как мы с обаятельным миллиардером помогли двум людям найти друг друга, он предложил мне сыграть р…

❤‍🔥12❤9🍓4

29 Oct 2026, 20:22 UTC≈1,430 views26 reactionsread 7 November 2026
Photo

🌺Книга: "Ядовитые игры"🌺 Автор: Т.Л. Смит Серия: "Ядовитые" – 4 (Про разных героев) ❣️Детектив х наемная убийца ❣️Тайное общество ❣️От врагов до супругов ❣️Противоположности притягиваются ❣️Тайная личность ❣️Тронь его и ты тр*п 👁️‍🗨️Он должен был ловить убийц, а не жениться на одной из них. 👁️‍🗨️Детектив Бостон построил карьеру на охоте за опасными людьми. Правила его не пугают. Вид крови не смущает. А мораль в…

❤23🍓3

Showing the 12 most recent of 108 posts we hold for @omg_boooks. 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

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

Names

Channels on the register whose handles appear in this channel's posts.

delicate_rose_mur переходник
@delicate_rose_mur · 410
7 posts
Dream Team (переходник)
@dreamteambooks · 844
7 posts
⚜️𝐁𝐨𝐨𝐤𝐢𝐬𝐡 𝐇𝐞𝐚𝐫𝐭 𝐭𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐞⚜️
@bookishheart_321 · 10,236
5 posts
𝑯𝒐𝒕 𝑫𝒂𝒓𝒌 𝑵𝒐𝒗𝒆𝒍𝒔🥀¹⁸⁺
@HotDarkNovels · 6,870
5 posts
𝐋𝐎𝐕𝐄𝐋𝐘𝐒
@looovelys · 2,009
5 posts
𝗘𝘀𝗰𝗮𝗽𝗶𝘀𝗺.
@escapismbooks · 7,959
4 posts
RishaBooks || Переходник
@Risha_Book · 197
4 posts
ПЕРЕХОДНИК | 🅑🅞🅞🅚 ⓈⓄⓊⓁ
@booook_soul · 50
3 posts
᠗ᝯᜠᜥ ßᝪᝪᜥᜧ𐍃ᜨ ᠘ᝪᜱᠻ🚩18+
@darkbookishlove · 3,160
3 posts
𝐈𝐍𝐅𝐄𝐑𝐍𝐎 𝐁𝐎𝐎𝐊𝐒
@inferno_books · 4,237
3 posts
𝐋𝐈𝐁𝐑𝐈𝐒•𝐁𝐎𝐎𝐊𝐒
@Librisbooks · 2,776
3 posts
𝙉𝙊𝘾𝙏𝙐𝙍𝙉𝙀 𝘽𝙊𝙊𝙆𝙎
@nocturne_books · 1,643
3 posts
• sinful readers society •
@s_r_sbook · 325
3 posts
𝔹𝕆𝕆𝕂ℍ𝕆𝕌ℝ𝕊
@bookhours_world · 4,587
2 posts
Mafia World - переходник
@GalY_mafia · 734
2 posts
АЦЦки переходник
@hell_lines · 151
2 posts
Lexi Livres 💞
@LexiLivres · 1,826
2 posts
ПЕРЕХОДНИК | ℒ𝒾𝓉𝓉𝓁ℯ ℬℴℴ𝓀 𝒲𝒽ℴ𝓇ℯ𝓈
@LittleBookWhores · 122
2 posts
Big Girls’ Books
@big_girls_books · 1,218
1 post
𝕲𝖔𝖔𝖉 𝕲𝖎𝖗𝖑𝖘 𝕲𝖗𝖆𝖛𝖊 Si𝖓🔞
@goodgirlsgravesin · 2,235
1 post
𐌺.𐌽 𐌿ᥱρᥱʙ᧐ды κнᥙᴦ
@kn_book · 4,544
1 post
Академия Книжных Шлюх
@knizhnyeshluyhi · 8,465
1 post
𝑀𝑖𝑑𝑛𝑖𝑔ℎ𝑡𝐵𝑜𝑜𝑘𝑠
@MidnightBooks_1 · 1,379
1 post
𝐉𝐮𝐬𝐭 𝐨𝐧𝐞 𝐦𝐨𝐫𝐞 𝐜𝐡𝐚𝐩𝐭𝐞𝐫 ♥️
@one_more_chapter1 · 1,418
1 post

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

“omg books [18+]” (@omg_boooks), 9,721 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/omg_boooks.

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.