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Channel

Премия Сунгоркина

@premiya_SVN

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

472subscribers

+3 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001536630812
TypeChannel
Username@premiya_SVN
Created13 October 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live14 September 2026
Measurements held6
Confirmed unchanged2 times, most recently 14 September 2026
On Telegramt.me/premiya_SVN

Topic

Film & TV — 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 47% 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

4694754727 August 2026 — 469 subscribers8 August 2026 — 469 subscribers15 August 2026 — 475 subscribers22 August 2026 — 474 subscribers30 August 2026 — 471 subscribers6 September 2026 — 472 subscribers7 August 20266 September 2026
6 measurements spanning 30 days, net +3. 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 468–476 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Sept 2026, 18:39472+1
30 Aug 2026, 00:33471-3
22 Aug 2026, 17:28474-1
15 Aug 2026, 07:53475+6
8 Aug 2026, 04:46469no change
7 Aug 2026, 12:38469first reading

Engagement

12 posts held, back to 27 July 2026the 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 12 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2m 33s
Average length
51s

Measured directly from 3 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

69 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 39.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥2739.1%
2231.9%
👍811.6%
🔥57.25%
🥰45.80%
👌22.90%
😁11.45%

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 10 of the 12 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 69 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 27 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.

Recent posts

7 Aug 2026, 18:04 UTC51 views1 reactionsread 8 August 2026
Video

На Радио КП снова, как и каждый год, заглянул Егор Кончаловский Поговорили про любовь, историю и узнали, правда ли, что режиссер позволил Константину Хабенскому изменить сюжет фильма "Авиатор". Подписаться

1

6 Aug 2026, 12:59 UTC110 views10 reactionsread 8 August 2026

К нам приехал… ревизор! Точнее, ревизорро. Елена Летучая! Знаменитая телеведущая и зоозащитница. Вот из-за последнего мы и пригласили её стать лицом нашего масштабного проекта "Комсомольской правды" - "Дикие и беззащитные". Елена - главный спикер в документальном фильме, которым мы закончим его. До конца проекта - ещё 11 видеороликов из 11 городов России (кстати, подписывайтесь на плейлист!), но наша видеослужба "КП"

5🥰3👌2

6 Aug 2026, 12:59 UTC109 views9 reactionsread 8 August 2026
Video message

Video message, posted without a caption

5🔥3🥰1

4 Aug 2026, 14:51 UTC127 views10 reactionsread 8 August 2026
Video

Церемония награждения "Мастер продаж "Комсомольской правды" прошла сегодня в редакции. Лучшими стали 18 продавцов более чем из тысячи киосков Москвы и Московской области. Памятные дипломы за первое место получили Елена Бобровникова, Роза Губурова, Людмила Кондрашина и Оксана Уткина. Второе место заняли Елена Арефина, Залина Елеева, Ольга Есенникова, Ирина Комаревич, Наталия Лапицкая, Гияс Насибов и Надежда Павлова.

❤‍🔥72👍1

4 Aug 2026, 13:13 UTC111 viewsread 8 August 2026
Forwarded from @kp_kubanPhoto

«КП»-Кубань» снова стала самым цитируемым СМИ Краснодарского края По данным «Медиалогии», именно материалы «Комсомолки» чаще всего цитировали другие СМИ, информационные ресурсы и эксперты. Это подтверждает: новости «Комсомолки» читают не только жители Краснодарского края, но и аудитория по всей России. Спасибо читателям за доверие.

3 Aug 2026, 15:47 UTC123 views6 reactionsread 8 August 2026

Актер Владимир Сычев заглянул в "Комсомолку" в преддверии выхода сериала "Малой", в котором исполнил роль генерала полиции. В интервью артист рассказал о своей семье, вспомнил 90-е, съемки в фильме "Бумер" и сериале "Физрук". Не обошли стороной и юбилей Владимира: этим летом ему исполнилось 55 лет! Подписаться

❤‍🔥4👍2

3 Aug 2026, 15:45 UTC120 views5 reactionsread 8 August 2026
Video message

Video message, posted without a caption

❤‍🔥3👍2

3 Aug 2026, 12:54 UTC113 views2 reactionsread 8 August 2026
Forwarded from @mibf_infoPhoto

Какие книги издательство «Комсомольская правда» привезёт на ММКЯ? Рассказываем о нескольких ярких новинках этого года: Сергей Козлов, «Романовы. Преданность и предательство» Автор показывает трагедию начала XX века не только с позиции царской семьи, но и через образы их верных офицеров, пытавшихся организовать спасение, и даже их врагов — цареубийц. Денис Корсаков, «Сильный. Слабый. Маяковский» Поэт предстаёт челов

🔥2

1 Aug 2026, 10:32 UTC149 views9 reactionsread 8 August 2026
Photo

Носи усы, носи усы, Носи усы, носи усы, Носи, не бойся! Как Горбунов, Гамов и Бут (в центре). Трудовые будни Радио "Комсомольская правда" и программы "Русский дозор Бута и Гамова" Подписаться

❤‍🔥8😁1

30 Jul 2026, 14:13 UTC286 views7 reactionsread 8 August 2026
Photo

Вице-спикер ГД Анна Кузнецова и не знала, что у "Комсомолки" есть такое фото. Наш Михаил Фролов умеет порадовать кадром! Вечером в Кремле - утром в "КП", шустро, да)) Подписаться

❤‍🔥51👍1

28 Jul 2026, 08:05 UTC217 views10 reactionsread 8 August 2026
Photo

🔥Новая детская книга нашего московского спецкора Александра Рогозы "Ленар и Книга всех ключей" вошла в число победителей литературной премии "Крылья ветра"! 🎉Поздравляем!! Подписаться

8👍2

27 Jul 2026, 09:46 UTC181 viewsread 8 August 2026
Forwarded from @kp_bookPhoto

Российский след в деле Эпштейна: что известно на самом деле? В материалах, связанных с Джеффри Эпштейном, фигурируют не только мировые знаменитости, но и имена российских политиков, бизнесменов и общественных деятелей — среди них Владимир Жириновский, Геннадий Зюганов, Михаил Прохоров и многие другие. Почему эти фамилии оказались в документах? Что на самом деле означают подобные упоминания и где заканчиваются факты

Showing the 12 most recent of 12 posts we hold for @premiya_SVN. 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 3 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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“Премия Сунгоркина” (@premiya_SVN), 472 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/premiya_SVN.

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.