Я не верю, это слишком невозможно, чтобы быть правдой!! Косплей на лялю и какой! 🥺🥺😍
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Channel
@ponizovska
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,052subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001637619995 |
|---|---|
| Type | Channel |
| Username | @ponizovska |
| Created | 25 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/ponizovska |
Gaming — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 43% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 03:17 | 1,052 | -1 |
| 14 Sept 2026, 23:19 | 1,053 | +2 |
| 5 Sept 2026, 18:39 | 1,051 | -2 |
| 2 Sept 2026, 00:15 | 1,053 | +5 |
| 29 Aug 2026, 13:58 | 1,048 | +3 |
| 26 Aug 2026, 05:24 | 1,045 | -1 |
| 22 Aug 2026, 18:52 | 1,046 | +1 |
| 19 Aug 2026, 02:22 | 1,045 | -1 |
| 16 Aug 2026, 07:22 | 1,046 | -2 |
| 13 Aug 2026, 02:56 | 1,048 | -2 |
| 10 Aug 2026, 10:51 | 1,050 | -3 |
| 7 Aug 2026, 19:12 | 1,053 | no change |
| 7 Aug 2026, 09:47 | 1,053 | first reading |
14 posts held, back to 1 March 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 14 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
658 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 36.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 237 | 36.0% | |
| ❤🔥 | 213 | 32.4% | |
| 🍓 | 64 | 9.73% | |
| 🥰 | 40 | 6.08% | |
| custom 5314775849864549376 | 30 | 4.56% | |
| 🎃 | 24 | 3.65% | |
| 🔥 | 20 | 3.04% | |
| 💘 | 14 | 2.13% | |
| 👍 | 8 | 1.22% | |
| 👏 | 6 | 0.912% | |
| 😍 | 2 | 0.304% |
Custom emoji. One row above is a 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 count beside it is Telegram’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 13 of the 14 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 658 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 1 March 2026 to 5 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.
Я не верю, это слишком невозможно, чтобы быть правдой!! Косплей на лялю и какой! 🥺🥺😍
🍓16❤11💘3
на последний косплей фестиваль родного города, в котором я смогла принять участие, хотелось сделать что-то необычное…ну и под впечатлением от книги я делала на неё косплей🤩
❤🔥24custom 531477584986454937614❤10🔥3
– Если нам лгали о Верхнем городе, почему тебя так удивляет, что лгали и о Крипте? – Да, – едва слышно выдохнула Солнцева. – Ты п-прав. Но зачем? Котов загадочно улыбнулся, а его щека задёргалась: – Однажды я узнаю. (маскарад мормо, глава 28) ⭐️⭐️⭐️⭐️ 🥹аларм Нам прислали невероятно каноничного Котова, любуюсь двадцатый час Большое спасибо https://t.me/pingvinaspingvinas !!! Арт получился невероятный😍!
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тааак, пришло время объясниться 😐 в Эксмо вышла статья, где я поясняю за концовку Маскарада Мормо ахахаха (ну там не только про концовку, ещё про историю создания, вдохновение но и, конечно, про однотомники и циклы (😬). о и ещё из хорошего!!! ММ дали доптираж. Вы лучшие, вы знали??????????? ⭐️⭐️⭐️ ⭐️⭐️⭐️ ⭐️⭐️ иииии mystical buttons НАКОНЕЦ нарисовала нам Диля ака психопата всея РГГУ университета им. А. Л. Шанявск…
❤41🔥15👏6❤🔥4
🤩🤩♥️♥️♥️♥️♥️♥️♥️♥️ 🤩🤩♥️♥️♥️♥️♥️ 🤩 Мария Понизовская 🎀🎀🎀🎀🎀🎀🎀🎀🎀🎀🎀 🤩— Скажи мне, Елена, правда важнее жизни?🤩 🎀🎀🎀🎀🎀🎀🎀🎀🎀🎀🎀 🤩В ее родном городе все было проще. Никто не строил из себя хороших или плохих. Было понятно, кто богат, а кто беден. От кого стоит держаться подальше, кто тобой управляет и с кем нужно дружить. Крипта при всех ее масках, нечисти и безликих куда меньше походила на один сплошной маскарад, чем Москва.…
❤🔥30🎃10❤4💘4custom 53147758498645493764🥰1
Всех кто отмечает Пасху С Пасхой 🌟
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Обожаю находить неожиданные параллели в произведениях, которые точно не могли друг на друга повлиять. Потому что создавались одновременно и в разных инфопузырях, а то и в полной тишине. Но неожиданно они будто вторят и дополняют друг друга, создавая дополнительные глубину и смыслы. Пару месяцев назад я прочитала «Маскарад Мормо» Марии Понизовской. В этом романе, который я обозначаю как фэнтези-триллер, но который не…
❤🔥35🍓14🎃8❤7🔥2
🤍Блин, а ведь я даже не знала про этот проект и эту выставку Теперь хочу сходить !! ❄️
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Понизовская | Княжество ужасов pinned a photo
где читать «маскарад мормо» (везде) «маскарад мормо» наконец почти везде вышел, так что оставляю здесь закреп со ссылкой на все площадки, где можно почитать/послушать/купить: заглядывайте сюда (тут и электронка, и аудио, и маркетплейсы (где бывают очень хоорошенькие скидки), и читай-город - в общем, всё в одном месте, чтобы не потерялись ✨)
❤🔥38🥰15❤10😍2👍1
Очень долго думала, как бы показать ещё кусочек текста, но без спойлеров, красивущий арт, к которому нарисовала Личи В итоге криво-косо помонтировала, надеюсь основные моменты не испорчу тем, кто не читал Но очень уж хотелось показать эту иллюстрацию!!!!
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Я тут ношусь вся в делах, а ведь уже вышла в открытый доступ новая часть нашего комикса про древнерусских царей, царевен и упырей!!! Кто ещё не видел, то… 🤍🥞🥞🥞🥞🥞🥞🥞🥞🥞🥞🥞🤍 уже вот тут.
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Showing the 12 most recent of 14 posts we hold for @ponizovska. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Понизовская | Княжество ужасов” (@ponizovska), 1,052 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ponizovska.
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.