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Channel

📖 Про чтение и развлечения 📚

@letovanili_books

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

10,959subscribers

-174 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001877457719
TypeChannel
Username@letovanili_books
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/letovanili_books

Growth

10,95911,13311,0466 August 2026 — 11,133 subscribers6 August 2026 — 11,126 subscribers7 August 2026 — 11,109 subscribers8 August 2026 — 11,101 subscribers9 August 2026 — 11,088 subscribers10 August 2026 — 11,057 subscribers11 August 2026 — 11,041 subscribers13 August 2026 — 11,021 subscribers14 August 2026 — 11,042 subscribers16 August 2026 — 10,959 subscribers6 August 202616 August 2026
10 measurements spanning 10 days, net -174. 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 10,933–11,159 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 01:5610,959-83
14 Aug 2026, 14:2711,042+21
13 Aug 2026, 02:2311,021-20
11 Aug 2026, 22:4711,041-16
10 Aug 2026, 19:3111,057-31
9 Aug 2026, 16:0411,088-13
8 Aug 2026, 18:0511,101-8
7 Aug 2026, 15:2411,109-17
6 Aug 2026, 16:4111,126-7
6 Aug 2026, 12:0511,133first reading

Engagement

49 posts held, back to 4 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.13%
avg views ÷ 10,959 subscribers
Avg views / post
562
31 posts measured
Reaction rate
9.35%
reactions ÷ views · ER floor
Posts in window
49
of 49 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 15 August 2026
Posts held49 (4 August 202615 August 2026)
Views total17,432
Reactions total1,630
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 16:59 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

Video runtime
5m 11s
Average length
1m 02s

Measured directly from 5 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

1,630 reactions across 31 posts, in 9 distinct kinds. The most used accounts for 45.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
74545.7%
🔥52732.3%
custom 5472264350624424808835.09%
custom 5370670446880523653825.03%
😁503.07%
💯422.58%
💔412.52%
🙏372.27%
🥰231.41%

Custom emoji. 2 of the rows above are 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 31 of the 49 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 1,630reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 49 most recent posts we hold, published 4 August 2026 to 15 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.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
6
of 31 we hold a reading for · 19%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @letovanili_books. 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 49 most recent posts we hold for this entry, published 4 August 2026 to 15 August 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

15 Aug 2026, 06:50 UTC361 views21 reactionsread 15 August 2026
Photo

Очень сильно рассчитываю, что практика чтения книг на английском в BedtimeBook Никите позволит в сентябре без труда войти в ритм учебы в школе. В нашей повседневной жизни слышу от него разные фразы, которыми он пользуется в обиходе, к тому же он взял в привычку заниматься регулярно Duo, и это радует. Вчера Никита был несколько огорчен: пропустил очередное занятие в Bedtime, но, признаться, у нас были веские причин

17🙏3🥰1

14 Aug 2026, 04:14 UTC604 views42 reactionsread 15 August 2026
Photo

Такие книги Никите на один зуб, а вот если вы только начинаете осваивать самостоятельное чтение — берите на заметку! Главный герой этой забавной истории — пятилетний мальчик Леопольд, который однажды утром очень не хотел идти в школу, и с ним вдруг случилось чудо: «БАЦ! И я стал невидимым!». Однако у его невидимости есть комичный недостаток — его одежда, в частности пижама, остается видимой для окружающих. Кстати,

🔥2114custom 53706704468805236537

13 Aug 2026, 15:43 UTC605 views49 reactionsread 15 August 2026

Posted without readable text

💔33🙏114🔥1

13 Aug 2026, 04:19 UTC621 views63 reactionsread 15 August 2026
Photo

Вот эта сказка меня удивила! Очень долго дожидалась она своего часа на книжной полке, я покупала её далеко «на вырост», и хочу сразу отметить — идеально просто вписалась она в возраст сына. Немного об истории создания. Впервые сказочная повесть вышла в 1967 году в издательстве «Детская литература» с иллюстрациями Валерия Алфеевского. Лев Кассиль так тепло отозвался о книге, что именно после её выхода Софью Прокоф

38🔥17custom 53706704468805236538

12 Aug 2026, 15:20 UTC636 views65 reactions1 Starread 15 August 2026
Photo

Ну что сказать. Не так давно я начала интересоваться историей дореволюционной России, несколько раз мне советовали прочесть эту книгу, собственно, я о прочтении не жалею, но вот мнение об авторе у меня очень неоднозначное сложилось. Книгу советовать я буду — из нее можно почерпнуть много интересных фактов о семье Юсуповых, убийстве Распутина, узнать об окружении знати, их жизни в «изгнании», и вообще представить се

🔥3324custom 53706704468805236538

12 Aug 2026, 12:10 UTC600 views60 reactions1 Starread 15 August 2026
Photo

В магазинах уже напоминают, что осень не за горами, а в Kuchenland мне хочется скупить все. Пофоткала немного, в комментариях. Буду ждать скидок, эх…

34🔥18💯8

12 Aug 2026, 08:02 UTC647 views67 reactions1 Starread 15 August 2026
Photo

Погода как испортилась, да? Но мы успели в понедельник съездить на Красную площадь, там погулять по джунглям, отправить пять открыток из самого сердца столицы (две в Петрозаводск, одну в Санкт-Петербург, одну в Казань и одну в Великий Новгород, так что ожидайте!), сыграть (Никита) в шашки пару партий, покататься на каруселях, побегать по Александровскому саду и пешком дойти до парка Горького. Немного фотографий с н

🔥3421custom 547226435062442480812

Showing the 12 most recent of 49 posts we hold for @letovanili_books. 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

Citation-graph rank — 117,304 of 1,481,243entries 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.

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

Named by 4 registered channels — 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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“📖 Про чтение и развлечения 📚” (@letovanili_books), 10,959 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/letovanili_books.

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.