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 94% 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
59 measurements spanning 92 days, net -1,001. 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 25,938–27,287 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
6 Nov 2026, 08:20
26,094
-39
5 Nov 2026, 07:08
26,133
-6
4 Nov 2026, 09:59
26,139
-3
3 Nov 2026, 06:46
26,142
-7
2 Nov 2026, 04:37
26,149
-10
1 Nov 2026, 07:15
26,159
-16
31 Oct 2026, 04:20
26,175
-24
30 Oct 2026, 05:09
26,199
-20
28 Oct 2026, 04:49
26,219
-8
27 Oct 2026, 06:46
26,227
-15
26 Oct 2026, 06:06
26,242
-15
25 Oct 2026, 04:21
26,257
-7
24 Oct 2026, 00:45
26,264
-9
22 Oct 2026, 23:17
26,273
-14
21 Oct 2026, 19:28
26,287
-8
20 Oct 2026, 12:28
26,295
-2
19 Oct 2026, 12:39
26,297
-18
18 Oct 2026, 13:46
26,315
-8
17 Oct 2026, 16:20
26,323
+16
16 Oct 2026, 19:31
26,307
first reading
Engagement
77 posts held, back to 18 July 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 138 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.9%
avg views ÷ 26,094 subscribers
Avg views / post
5,710
18 posts measured
Reaction rate
5.14%
reactions ÷ views · ER floor
Posts in window
18
of 77 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
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
77 (18 July 2026 – 5 November 2026)
Views total
102,790
Reactions total
5,285
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 07:32 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
3m 52s
Average length
29s
Measured directly from 8 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
27,181 reactions across 76 posts, in 2 distinct kinds. The most used accounts for 82.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
22,483
82.7%
💔
4,698
17.3%
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 77 of the 77 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 27,390 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 77 most recent posts we hold, published 18 July 2026 to 5 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 18 posts held from the last 30 days (5.56%) 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).
Ничего не планируйте на 7 ноября, потому что у нас для вас кое-что есть 😎
Объявляем о первой гаражной распродаже издательства! Обещаем рассказать подробнее совсем скоро, а пока ловите детали:
🍁 новинки и совсем-совсем старинки
🍁 максимально вкусные цены
🍁 активности, чтобы не было скучно
🍁 подарки от издательства
🎃 7 ноября 12:00 — 17:00
Москва, Art Space, Старопименовский переулок, д.8
Готовимся к скорой вст…
Когда я сажусь за стол, Саша уже ставит передо мной дымящуюся тарелку с карбонарой и располагается напротив. Теодоро, шаркая лапами, входит на кухню и кладет тяжелую голову Саше на колено.
– Хороший наш, – ласково произносит Сашка и гладит пса по спине.
– Ты его любишь больше, чем меня.
– Это потому что он со мной не спорит. Не говорит, что я плохо паркуюсь и иногда храплю по ночам.
– Это потому что он уже немного гл…
В Уфу едет Ася Лавринович — автор, чьи книги разлетаются миллионными тиражами! 📚✨
Проект реализуется при поддержке Президентского фонда культурных инициатив.
Сегодня Ася Лавринович — один из самых популярных авторов книг для подростков и молодёжи. Её произведения называют «лекарством от плохого настроения» за атмосферу тепла и обязательный счастливый финал. Суммарный тираж превысил 1 миллион экземпляров, а по роман…
📖 Всем привет! На связи подкаст «На языке книг».
Сегодня мы открываем второй сезон уютным осенним выпуском, посвященным книге Аси Лавринович «Отель с неприятностями».
Для удобства можно перейти на подкаст по этой ссылке и не ждать, пока он загрузится.
Также нас можно слушать в Яндекс.Музыке и ВК.Подкастах.
Приятного прослушивания и осеннего настроения 💖!
В Уфу едет Ася Лавринович — автор, чьи книги разлетаются миллионными тиражами! 📚✨
Проект реализуется при поддержке Президентского фонда культурных инициатив.
Сегодня Ася Лавринович — один из самых популярных авторов книг для подростков и молодёжи. Её произведения называют «лекарством от плохого настроения» за атмосферу тепла и обязательный счастливый финал. Суммарный тираж превысил 1 миллион экземпляров, а по роман…
Для всех, кто ждал новинку Аси Лавринович «Счастливый пирог» на маркетплейсах, делимся новостью: предзаказ открыт! 💛
А в подарок за оформление предзаказа на WB можно будет получить закладку с пожеланием от Аси.
Читай-город | WB
* на OZON предзаказа не будет, книга появится после выхода
Совсем скоро выпустим новинку от Аси Лавринович — сборник милых рассказов «Счастливый пирог».
💙 Открытка в подарок! На открытке — главные герои из «Нелюбовь сероглазого короля»
💙 Нежные, романтичные и искренние истории о любви, дружбе и счастье.
💙 Сборник рассказов: как бонусные главы к уже вышедшим книгам, так и совсем новые истории.
Предзаказ в Читай-городе | ждем маркетплейсы
А это «Читай-город»🩵
Спасибо огромное Даше за фотографии 😍
❤🔥323💔46
Showing the 12 most recent of 77 posts we hold for @aslavrinovich. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @aslavrinovich as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
3 November 2026
Most recent seen missing
3 November 2026
Median time before seen missing
18 days
Seen missing in the last 30 days
1
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
Named by 14 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.
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.
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 11 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.
Издательство Like Book @likebook_ya · 35,183 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 3 September 2026
DARYANEMK - LIFE BOOK STYLE @daryanemklife · 25,462 Telegram ranks this channel #6 of 79 here — alongside 78 others — read 12 September 2026
DARYANEMK/Книжный блог @daryanemk · 69,067 Telegram ranks this channel #8 of 79 here — alongside 78 others — read 20 August 2026
Читай-город @chitai_gorod_official · 142,205 Telegram ranks this channel #34 of 81 here — alongside 80 others — read 13 August 2026
Алина Букстар | Книжный блогер @alinabookstar · 25,756 Telegram ranks this channel #43 of 83 here — alongside 82 others — read 13 September 2026
Trendbooks 📖 книги YA @clevertrendbooks · 60,175 Telegram ranks this channel #51 of 81 here — alongside 80 others — read 22 August 2026
📚 Любовные романы @newlovebooks · 43,181 Telegram ranks this channel #54 of 54 here — alongside 53 others — read 28 August 2026
Побединская || Бернаут @pobedinskaya · 19,151 Telegram ranks this channel #55 of 77 here — alongside 76 others — read 4 October 2026
Анна Джейн | Твоё сердце будет того @anna_jane · 80,814 Telegram ranks this channel #58 of 85 here — alongside 84 others — read 17 August 2026
Издательство Freedom 💜 @eksmofreedom · 39,325 Telegram ranks this channel #61 of 82 here — alongside 81 others — read 31 August 2026
Лия Арден | Мара и Морок | книги 18+ @liaarden · 32,469 Telegram ranks this channel #68 of 77 here — alongside 76 others — read 5 September 2026
Сорри, я не твоя лав стори @not_love_story · 23,910 Telegram ranks this channel #73 of 75 here — alongside 74 others — read 18 September 2026
Издательство Эксмо | Книги @eksmo · 58,464 Telegram ranks this channel #79 of 88 here — alongside 87 others — read 22 August 2026
Издательство Inspiria @inspiria_books · 24,076 Telegram ranks this channel #86 of 87 here — alongside 86 others — read 17 September 2026
This channel appears in 14 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ася Лавринович” (@aslavrinovich), 26,094 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/aslavrinovich.
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.