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Channel

Книжный мир Ди📚

@bookworlddi

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

2,022subscribers

+0 since we began measuring on 7 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001855458419
TypeChannel
Username@bookworlddi
DescriptionДобро пожаловать в мир, где книги становятся реальностью 🤍 Здесь ты найдёшь: ~ самые цепляющие романы и новинки ~ честные отзывы ~ видео с атмосферой, в которую хочется нырнуть Если ты любишь книжных мужчин больше, чем реальных — тебе точно сюда 📚✨
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live7 September 2026
Measurements held2
On Telegramt.me/bookworlddi

Growth

2,0227 Sept 2026, 13:47 — 2,022 subscribers7 Sept 2026, 14:22 — 2,022 subscribers7 Sept 2026, 13:477 Sept 2026, 14:22
2 measurements taken within a single day. 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 2,020–2,024 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 14:222,022no change
7 Sept 2026, 13:472,022first reading

Engagement

18 posts held, back to 31 August 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.

ERR · 30 days
4.60%
avg views ÷ 2,022 subscribers
Avg views / post
93.0
18 posts measured
Reaction rate
1.95%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 14 of 18 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 September 2026
Posts held18 (31 August 20266 September 2026)
Views total1,674
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 14:22 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
418
Videos
80
Links
84

Lifetime counters from Telegram’s own channel header, read 7 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 02s
Average length
3m 02s

Measured directly from 1 video 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

26 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 80.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2180.8%
🥰311.5%
🔥27.69%

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 18 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 31 August 2026 to 6 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.

Recent posts

6 Sept 2026, 23:54 UTC261 views2 reactionsread 7 September 2026
Photo

Это что за милота такая??🥺😍 #Пируэт

🥰2

6 Sept 2026, 23:35 UTC47 viewsread 7 September 2026
Photo

🦋🦋🦋 🦋🦋🦋 🦋🦋🦋 🔤Я даже не заметил, как крепко сжались кулаки и заскрипели зубы, но губы тянулись в улыбке. Скорее всего очень нервной. Я запомнил его имя в папке. Оно упоминалось в период с шестнадцати и восемнадцати лет. Эванс, боже упаси, МакДермот был первым парнем…черт, черт, черт. Он был никем, в целом. Но Сиенна упомянула его! Спокойнее, Алекс. Убей его,

5 Sept 2026, 20:40 UTC80 views2 reactionsread 7 September 2026
Photo

ДевАчкиии, я вчера начала смотреть аниме «Монолог фармацевта» Прогресс: 2 сезон, 7 серия Это просто вау! У меня нет слов, одни эмоции + не могу оторваться от него, из-за чего сегодня не читала «Серпентарий», но оно он того стоит😏

2

5 Sept 2026, 20:35 UTC61 views2 reactionsread 7 September 2026
Photo

❦ НА WATTPAD!!! ❦ ─────── Э К З Е К У Т О Р «Сломи мой лёд» НИНА РОУАН ═══════════════ ❝ Некоторые люди не оставляют ран. Они оставляют шрамы, которые хочется носить.❞ АННОТАЦИЯ Я отдала всё ради него. Свою душу. Свою боль. Своё сердце. Всю себя. А в ответ получила нож в спину и реки крови. Если бы я только могла знать, что пролью свою кровь и слёзы ради

1🔥1

4 Sept 2026, 00:09 UTC85 views4 reactionsread 7 September 2026
Photo

Как же мне нравится читать главы от лица Змея, вы себе представить не можете🤌 Каждый раз дочитывая главу от его лица, я с трепетом жду следующую. Мне чертовски нравится читать о его мыслях и эмоциях, которые вызывает в нем главная героиня. Это чертовски завораживает! #Серпентарий

4

3 Sept 2026, 19:25 UTC71 views1 reactionsread 7 September 2026
Photo

слова тут излишни😏 #Серпентарий

1

3 Sept 2026, 15:04 UTC74 views2 reactionsread 7 September 2026
Photo

🐍🐍 🐍🐍 🐍🐍 🤩Нура вдруг скорчила зеркалу рожицу. Он опешил на мгновение, а затем улыбнулся. В груди разлилось тепло, отчего ему только сильнее захотелось очутиться рядом с ней. От сестры Нура отличалась. Отличалась настолько, что даже её аромат кружил голову, мешая рациональному мышлению. Нура… Он пока и сам не понимал, что именно так тянуло его к ней. Он вернется… Чтобы обыскать

2

3 Sept 2026, 14:56 UTC53 views1 reactionsread 7 September 2026
Photo

🐍🐍 🐍🐍 🐍🐍 🤩Нура говорила тише, нежнее, как певчая пташка, чьи трели хотелось слушать не переставая. Он заскрежетал зубами, поскольку считал, что давно избавился от лишних эмоций, но… Ещё когда стоял в роще, а над ним шумели колокольчики, он смотрел на эту девушку, совершенно пораженный.🤩 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩 #Серпентарий

1

3 Sept 2026, 14:44 UTC67 views1 reactionsread 7 September 2026
Photo

🐍🐍 🐍🐍 🐍🐍 🤩Он ждал, когда она наконец уснет. Ему до Морока надоело сидеть в тесном укрытии, прячась от какой-то девчонки. Он знал, как её зовут. Нура. Он беззвучно произносил её имя, катал его во рту, словно конфету, почти ощущая сладость. Ну — губы вытягивались трубочкой; ра — язык приятно вибрировал, и рот раскрывался. Ну-ра. Он повел плечами, разминая их и пытаясь избавиться от приятных м

🔥1

3 Sept 2026, 00:54 UTC88 views1 reactionsread 7 September 2026

Только что закончила читать главу от лица главного героя. ДевАчкиии, этот мужчина забрал моё сердце.😏 Днём оформлю все красивенько и поделюсь с вами. Знайте, он настоящий hot men!😋 #Серпентарий

1

2 Sept 2026, 23:09 UTC98 views1 reactionsread 7 September 2026
Photo

🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩 🐍🐍🐍🐍🐍🐍 Прочитано: 44 страницы. О сюжете: дошла до момента, в котором рассказывается история кланов и их разделения. Постепенно становится все более понятнее, но каждый раз, когда в сюжете появляется кто-то из второстепенных персонажей, в голове возникает вопрос: «А можно ли ему доверять?» Впечатления/эмоции: мне нравится эта интрига и то, как

1

2 Sept 2026, 15:43 UTC95 viewsread 7 September 2026

p.s. видео было снято 30 октября 2025 года

Showing the 12 most recent of 18 posts we hold for @bookworlddi. 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.

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.

Bookssloover
@bookssloveer · 30,303
Telegram ranks this channel #49 of 62 here — alongside 61 others — read 7 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“Книжный мир Ди📚” (@bookworlddi), 2,022 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/bookworlddi.

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.