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Channel

Книжная птичка | Женя Чернышова

@knizhnaya_ptichka

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

500subscribers

+37 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001623226024
TypeChannel
Username@knizhnaya_ptichka
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/knizhnaya_ptichka

Topic

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 21 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

445500472.56 August 2026 — 463 subscribers6 August 2026 — 463 subscribers12 August 2026 — 459 subscribers19 August 2026 — 445 subscribers25 August 2026 — 462 subscribers1 September 2026 — 464 subscribers10 September 2026 — 477 subscribers25 September 2026 — 500 subscribers6 August 202625 September 2026
8 measurements spanning 51 days, net +37. 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 437–508 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 18:19500+23
10 Sept 2026, 12:58477+13
1 Sept 2026, 08:26464+2
25 Aug 2026, 14:52462+17
19 Aug 2026, 11:53445-14
12 Aug 2026, 19:33459-4
6 Aug 2026, 19:03463no change
6 Aug 2026, 05:35463first reading

Engagement

8 posts held, back to 24 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

216 reactions across 8 posts, in 10 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9644.4%
🔥6931.9%
🥰2712.5%
✍62.78%
🎉62.78%
👏62.78%
⚡20.926%
😍20.926%
👾10.463%
😁10.463%

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 8 of the 8 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 216 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 24 July 2026 to 6 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.

Recent posts

6 Aug 2026, 10:18 UTC67 views33 reactionsread 6 August 2026
Photo

Произошел рывок в актерской карьере этого пятилетнего таланта – в театральном кружке он получил роль Генриха Восьмого. All: Have you seen the Queen? King Henry: Which one? I have six! Ну и ну. Английский юмор, да. Судя по тому, что среди остальных ролей имеются также агент Mi5, лев и динозавр, ставят они некий абсурд. Скоро увидим!

❤14🔥10🥰8😁1

5 Aug 2026, 14:17 UTC86 views23 reactionsread 6 August 2026
Photo

Литературный постер #31 Даниил Хармс Нетеперь Это есть Это. То есть То. Это не есть Это. Остальное либо это, либо не это. Все либо то, либо не то. Что не то и не это, то не это и не то. Что то и это, то и себе Само. Что себе Само, то может быть то, да не это, либо это, да не то. Это ушло в то, а то ушло в это. Мы говорим: Бог дунул. Это ушло в это, а то ушло в то, и нам неоткуда выйти и некуда прийти. Это ушло в эт…

❤13🥰6⚡2🔥2

4 Aug 2026, 17:25 UTC118 views35 reactionsread 6 August 2026
Photo

Поверить не могу, но я наконец дописала пьесу, начатую (точнее, даже завершенную тогда же, но требовались правки) в начале 22 года. Вот что дедлайн с человеком способен сотворить. Событие это случилось несколько дней назад, но только сейчас я это кое-как набралась сил осмыслить, потому что пребываю уже больше недели в довольно глубоком унынии и размышлениях о том, зачем всё это (и я не про драматургию) вообще нужно. …

❤20🔥8👏6👾1

2 Aug 2026, 10:38 UTC144 views24 reactionsread 6 August 2026
Photo

Литературные постеры июля Елена Гуро, Надежда Тэффи, Наталья Баранская, Александр Введенский. Больше постеров по тегу #птичка_постеры

❤14🔥6🥰4

29 Jul 2026, 12:57 UTC204 views22 reactionsread 6 August 2026
Photo

Эти два постера вошли во вкус и сегодня участвуют еще в одном аукционе — для этих двух, а точнее — в аукционе прекрасных Оли Птицевой и Леры Мартьяновой и их подкаста «Эти две». Фееричное событие пройдет сегодня в Москве в книжном магазине Пархоменко, начало в 19:30, приходите обязательно 🤍 #птичка_постеры

❤16🔥6

28 Jul 2026, 12:32 UTC868 views30 reactionsread 6 August 2026
Photo

Литературный постер #30 Наталья Баранская Неделя как неделя Погружаясь в этот текст, я испытывала самые любимые свои читательские чувства, из противоположных эмоциональных спектров: когда одновременно перестаешь дышать от ярости и при этом таешь от нежности к героине. Эти прозрачность и хрупкость, эти стойкость и сила, эти гребаные сумки! Надо признаться, что я испытываю большую любовь к бытовым зарисовкам, самым …

🔥15🥰9✍6

25 Jul 2026, 09:05 UTC234 views35 reactionsread 6 August 2026
Photo

Радуюсь: два моих постера впервые участвуют в офлайн-событии – они станут лотами на благотворительном аукционе книжного фестиваля «Гороушна» в Смоленске. Фестиваль стартует сегодня, аукцион пройдет в 18:00. Посмотреть все лоты можно здесь. Все средства, собранные на аукционе, пойдут на помощь детям и семьям, с которыми работает фонд «Дети наши». #птичка_постеры #Гороушна

🔥20❤9🎉6

24 Jul 2026, 16:39 UTC225 views14 reactionsread 6 August 2026
Photo

Литературный постер #29 Александр Введенский «Элегия» Напомню, что строчки из этого стихотворения можно поискать и найти в этом клипе СБПЧ. Писала о нем как-то здесь. А еще песня на эти стихи есть на сольном альбоме Леонида Федорова «Весна». Больше постеров по тегу #птичка_постеры

❤10🔥2😍2

Showing the 8 most recent of 8 posts we hold for @knizhnaya_ptichka. 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

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 5 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“Книжная птичка | Женя Чернышова” (@knizhnaya_ptichka), 500 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/knizhnaya_ptichka.

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.