Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 81% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
6,760 average views per post against 4,078 subscribers — an engagement rate of 165.8%. Across the 38,829 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Russian — the middle half sit between 6.94% and 25.4%, with a median of 13.6%.
What this was computed from
Window
30 days (18 July 2026 – 17 August 2026)
Posts measured
13 of 14 published in the window (4 exact, 9 rounded by Telegram)
Views totalled
87,889
Mature posts only
198.7% over 10 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 17 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
6 measurements spanning 11 days, net -12. 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 4,075–4,101 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 21:44
4,078
-7
13 Aug 2026, 05:47
4,085
-13
10 Aug 2026, 03:30
4,098
+5
6 Aug 2026, 18:00
4,093
+3
6 Aug 2026, 04:17
4,090
no change
6 Aug 2026, 03:02
4,090
first reading
Engagement
23 posts held, back to 6 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 4 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
165.8%
avg views ÷ 4,078 subscribers
Avg views / post
6,760
13 posts measured
Reaction rate
1.39%
reactions ÷ views · ER floor
Posts in window
14
of 23 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 7 August 2026
Posts held
23 (6 July 2026 – 7 August 2026)
Views total
87,889
Reactions total
1,220
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:35 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
2m 19s
Average length
20s
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
2,005 reactions across 21 posts, in 18 distinct kinds. The most used accounts for 47.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
955
47.6%
🔥
373
18.6%
❤🔥
264
13.2%
💘
103
5.14%
🥰
89
4.44%
😍
40
2.00%
👍
36
1.80%
🎉
35
1.75%
🤣
26
1.30%
🤩
19
0.948%
🏆
16
0.798%
💯
14
0.698%
🙏
12
0.599%
😁
11
0.549%
👏
6
0.299%
🍓
3
0.15%
💔
2
0.1%
💋
1
0.05%
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 22 of the 23 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 2,039reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 6 July 2026 to 7 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
4
of 22 we hold a reading for · 18%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gospozha_i. 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 23 most recent posts we hold for this entry, published 6 July 2026 to 7 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.
Ну и последняя радость на сегодня - Clever взлетел на 5 место в топе издательств. До этого мы несколько лет были в районе 10 места, а в этом году совершили рывок.
Елена Ульева снова подтвердила свое место автора №1 в детской литературе. Я очень волновалась, если честно, потому что разрыв между 1 и 2 местами по итогам 2025 года был совсем небольшой. Но, похоже, лидер детского рынка сменился всерьез и надолго. Горжусь всеми, кто приложил к этому руку! Это огромная работа и автора, и всей нашей команды.
Прекрасные новости в пятницу:
две наши писательницы в ТОП-10 самых издаваемых авторов художественной литературы в России за 1-е полугодие 2026 года.
Анна Джейн прочно занимает 1-е место, тут никаких сомнений.
Я очень рада за нашу Дану Делон, которая ворвалась в первую десятку.
Ждем еще больше наших авторов в следующих рейтингах 🌸
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💗💗💗💗💗💗💗💗💗💗
Официальный канал Trendbooks регулярно проводит дни наших авторов, и я решила ввести у себя рубрику #авторы_Trendbooks, буду в этот день делиться издательскими секретиками и рассказывать о наших авторах с точки зрения главного редактора.
Сегодня у нас день Катерины Траум.
Мы начали работать с ней в прошлом году, и это был чистый эксперимент:
✅ дебютный автор,
✅ тема, с которой мы раньше не работ…
Добрый день!
Спешу поделиться отзывом от Сары – цитирую ниже. От себя лично тоже хочу сказать спасибо за трепетное отношение к автору.
I just saw a hardcover of one of my books and it is STUNNING.
Everything about it is so beautiful. I am honored you took such care for this title, for a book I love so much -- the cover, interior art, and design made me emotional.
Absolutely beautiful. Thank you to your team, so very…
Начнем неделю с красивых картинок. Кое-что очень красивое только что уехало в печать. Это "Мадам Бовари" Гюстава Флобера - первая книга в новой серии "О любви и страсти. Шедевры классики". Следующей будет "Дама с камелиями" Дюма, я уже видела иллюстрацию, это просто отвал всего. Пишите в комментах, какие еще книги хотите увидеть в таких убийственно прекрасных обложках.
Отдел продаж с возмущением рассказал, что одно издательство использует название нашего импринта Trendbooks и конкретно нашу серию #trendbooks для своих книг на Wildberries. Для того, чтобы те читатели, кто ищет наши книги, натыкались на их.
Я за годы работы в Clever видела всякое, нас копируют постоянно - дизайны, форматы, идеи.
Одно издательство перерисовало нашу суперхитовую серию "Найди и покажи" почти один в од…
💗💗💗💗💗💗
💗💗💗💗💗💗💗💗💗💗
Всем привет! Сегодня хочется рассказать о писательнице, которая входит в топ звёздных авторов Trendbooks. Она из тех, кому подвластны разные жанры, кто умеет экспериментировать и при этом всегда сохранять свою изюминку. О чём бы она ни писала — о противостоянии студентов закрытой академии, о втором шансе для друзей детства в Ржавом городе, о вынужденном браке американской студентки и канадского мо…
Здравствуйте, уважаемые TrendBooks!
Я учусь в «Московском издательско-полиграфическом колледже имени Ивана Федорова» на специальности «Издательское дело». Прошу у вас взять фрагмент произведения «Стужа» Дахи Тараториной для дипломной работы в следующем году. Фрагмент будет использован строго в учебных целях, не для публикации или коммерческих задач.
Утро среды начинается с приятного - о наших книгах хотят писать ди…
💕💕💕💕 💕💕💕💕💕💕
💕💕💕💕💕
💕💕💕💕💕💕💕
на других языках!
Джейн-фест прошел, но новости об Анне Джейн не заканчиваются. Теперь официально: мы подписали договоры на продажу прав на перевод книги «Твое сердце будет разбито» на итальянский и испанский языки🩷
В обоих случаях мы проводили аукционы. В Италии выиграл Rizzoli - это импринт самой крупной в стране издательской группы Mondadori. Изначально Rizzoli специализировался на п…
Сижу на премьере "Мадам Баттерфляй" Пуччини в Большом театре и думаю, как же много общего у оперы и литературы Young Adult.
Что включает классический оперный сюжет:
✔️ Любовь, ради которой можно пожертвовать собой.
✔️ Эмоциональные качели.
✔️ Драматические ситуации (признаемся себе, что мы любим YA за то, что эти книги позволяют нам пережить ситуации слишком опасные, чтобы попадать в них в реальности).
Почти любое…
❤32💯14💘8🤣7🔥2
Showing the 12 most recent of 23 posts we hold for @gospozha_i. 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 — 2,571 of 1,481,306entries 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
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 7 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.
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.
“Госпожа И. Главный редактор издательства Clever” (@gospozha_i), 4,078 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/gospozha_i.
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.
