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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
33 measurements spanning 41 days, net +28. 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 23,126–23,227 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 14:59
23,199
+2
15 Sept 2026, 11:40
23,197
+7
13 Sept 2026, 23:19
23,190
+2
12 Sept 2026, 06:56
23,188
-27
9 Sept 2026, 23:36
23,215
+12
6 Sept 2026, 18:40
23,203
+23
2 Sept 2026, 17:33
23,180
-6
1 Sept 2026, 13:48
23,186
-7
31 Aug 2026, 16:04
23,193
-3
30 Aug 2026, 17:45
23,196
+5
29 Aug 2026, 20:45
23,191
+2
28 Aug 2026, 19:14
23,189
-3
27 Aug 2026, 20:33
23,192
+1
26 Aug 2026, 23:24
23,191
+13
26 Aug 2026, 02:24
23,178
-3
25 Aug 2026, 04:44
23,181
-1
24 Aug 2026, 01:25
23,182
+12
22 Aug 2026, 11:24
23,170
-5
20 Aug 2026, 23:42
23,175
+4
19 Aug 2026, 23:06
23,171
first reading
Engagement
183 posts held, back to 5 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.55%
avg views ÷ 23,199 subscribers
Avg views / post
1,290
58 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
58
of 183 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 40 of 58 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
183 (5 August 2026 – 3 September 2026)
Views total
74,720
Reactions total
878
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 14:40 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.
Reaction mix
2,472 reactions across 121 posts, in 27 distinct kinds. The most used accounts for 84.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,089
84.5%
custom 5348190489268993341
163
6.59%
❤🔥
70
2.83%
🔥
28
1.13%
🥰
28
1.13%
🍓
23
0.93%
💘
13
0.526%
🆒
7
0.283%
⚡
6
0.243%
💋
6
0.243%
👍
5
0.202%
🌭
4
0.162%
🤣
4
0.162%
🙈
3
0.121%
🦄
3
0.121%
☃
2
0.081%
🎉
2
0.081%
👌
2
0.081%
💅
2
0.081%
💔
2
0.081%
7 further kinds
10
0.405%
Custom emoji. One 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 count beside it is 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 129 of the 183 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 2,472 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 183 most recent posts we hold, published 5 August 2026 to 3 September 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
2
across the posts below
Posts paid on
2
of 183 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dreambooksssss. 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 183 most recent posts we hold for this entry, published 5 August 2026 to 3 September 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.
🩵 Кери Лейк – «Мастер Соли и Костей»
• Готический дарк-роман
• Вымышленный город
• Он — миллиардер с темным прошлым
• Сильная героиня
• Разница в возрасте
• Служебный роман
• Слоуберн
• Тайны
Когда я была маленькой девочкой, я мечтала, что придёт красивый рыцарь и спасёт меня от моей жалкой матери.
Он подъедет на своём белом коне и разрушит проклятие, которое мне суждено нести с того дня, как я родила…
❤️🔥 Ви Киланд – «Любовь без памяти»
• Небольшой итальянский городок
• Вынужденная близость
• Притяжение противоположностей
• Найденная семья
• Поездки на Веспе
• Атмосфера «Под солнцем Тосканы»
• Герой итальянец и героиня из Нью-Йорка
• Магия конца лета
Некоторые едут в Тоскану, чтобы найти себя.
Я же поехала, чтобы сбежать от Нью-Йорка, новых отношений моего бывшего и карьеры, которая покатилась под откос в тот м…
🥀 Карина Халле - «Костяной прилив»
🌟Тайная личность
🌟Только одна кровать
🌟Мрачный готический замок
🌟Морально серый главный герой
🌟Обретенная семья
🌟Одержимый герой
🌟Слоуберн
«Не впускай его»
Получив в наследство коттедж двоюродной бабушки на уединённом шотландском озере, Айрис Гэллоуэй узнаёт простое условие: прожить там год — и дом станет её.
Она ещё не знает о таинственных исчезновениях и не подозревает о загадоч…
💜 Оливия Хейл – «Выходя за рамки босса»
• Отец-одиночка
• Знакомство в клубе
• Босс и подчиненная
• Одна ночь
Выход за рамки привычного подарил мне лучшую ночь в жизни. До тех пор, пока я не узнала, что человек, с которым я ее провела – мой новый босс.
Посещать секретную вечеринку, где одежда опциональна, никогда не было в моих жизненных планах. Но когда эксклюзивное приглашение случайно оказалось в моем почтовом …
🧡 Лия Этвуд – «Осенняя прогулка»
🌟Осенняя атмосфера
🌟Неловкая история знакомства
🌟Маленький городок
🌟Случайное воссоединение
🌟Плохое первое впечатление
🌟От незнакомцев к возлюбленным
Неожиданный звонок отвлекает Уэса Колдуэлла во время пробежки. Погружённый в разговор, он сталкивается с женщиной и выбивает из её рук стакан. Раздосадованный полученными новостями, Уэс лишь мельком извиняется и спешит дальше.
Пейдж Хо…
🩵 Эмма Харт - «Проблема притворства»
🌟От друзей к любовникам
🌟Двойное повествование
🌟Он влюбляется первый
🌟Фальшивые отношения
🌟Ромком
🌟Дерзкая героиня
🌟Милый/нежный герой
Буквально столкнуться с самым горячим парнем в мире и согласиться быть его спутницей на свадьбе его сестры? Договорились... почему-то.
Узнать, что на самом деле он аристократ и однажды унаследует древнее шотландское герцогство и замок? Да, вот эт…
🤍 Лорен Ашер – «Мелкий шрифт»
🌟Миллиардер
🌟Босс и подчиненная
🌟Герой с секретом
🌟Грубый и жизнерадостная
🌟Переписка
🌟Slow-burn
Роуэн
Я занимаюсь созданием сказок.
Тематические парки.
Производственные компании.
Пятизвездочные отели. Все может стать моим, если я отремонтирую Дримленд. Моя первоначальная идея нанять Захру была хороша в теории, но потом я поцеловал ее. Все вышло из-под контроля, когда я написал ей смс …
🩷 Сьюзан Райт – «Услуга»
🌟Босс и подчиненная
🌟Брак по договоренности
🌟Разница в возрасте
🌟Альфа — герой
🌟Медленное развитие отношений
🌟Эмоциональные барьеры
🌟Травмы прошлого
Виена Стрэттон знала, что виновата в случившемся только она. Ведь как бы сильно ей не была необходима помощь, Виене не стоило было полагаться и становиться должницей такого человека, как Дейн Дэвенпорт.
Будучи его личным помощником, она прекрас…
🩵 И. Дж. Блейз – «Лучше, чем месть»
• Спортивный роман
• Соперничающие команды
• Фальшивые отношения
• Оба героя — пловцы
• Угрюмая и жизнерадостный
• Токсичная семья
• Надоедливый бывший
• Он влюбляется первым
• Обретенная семья
Даниэла Уильямс в ярости.
Болезненное расставание после того, как ей изменили, - не лучшее начало года. А что самое худшее - ее бывший и его новая девушка состоят в команде Д…
❤29👍2
Showing the 12 most recent of 183 posts we hold for @dreambooksssss. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@dreambooksssss named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@houseofromariis named in 1 post, 4 September 2026 – 4 September 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 19 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
♡ книжный шкаф ♡ @lilybookcase · 30,943 Telegram ranks this channel #1 of 57 here — alongside 56 others — read 6 September 2026
cmolerwbook @cmolerwbookk · 56,690 Telegram ranks this channel #3 of 58 here — alongside 57 others — read 28 August 2026
Bookssloover @bookssloveer · 30,202 Telegram ranks this channel #4 of 62 here — alongside 61 others — read 7 September 2026
𝓂𝓊𝓇𝓇𝒷𝑜𝑜𝓀𝓈 ᥫ᭡ @murrbooks · 45,255 Telegram ranks this channel #17 of 65 here — alongside 64 others — read 28 August 2026
Лиза Лазаревская @lazarrevskaya · 26,427 Telegram ranks this channel #32 of 53 here — alongside 52 others — read 12 September 2026
𝒓𝒊𝒏𝒂.𝒃𝒐𝒐𝒌𝒔 💚 @hinabooks · 29,931 Telegram ranks this channel #34 of 57 here — alongside 56 others — read 8 September 2026
📚 Любовные романы @newlovebooks · 43,838 Telegram ranks this channel #46 of 54 here — alongside 53 others — read 28 August 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“dramabooks” (@dreambooksssss), 23,199 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/dreambooksssss.
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.