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 13 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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
11 measurements spanning 35 days, net -26. 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 4,574–4,608 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 09:36
4,578
-2
8 Sept 2026, 05:40
4,580
-2
2 Sept 2026, 15:35
4,582
-1
30 Aug 2026, 16:06
4,583
-7
27 Aug 2026, 10:43
4,590
+1
24 Aug 2026, 02:43
4,589
-3
17 Aug 2026, 14:33
4,592
-3
14 Aug 2026, 06:38
4,595
-5
11 Aug 2026, 06:01
4,600
-3
8 Aug 2026, 14:04
4,603
-1
8 Aug 2026, 00:15
4,604
first reading
Engagement
18 posts held, back to 30 June 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 5 pages 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 18 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 46s
Average length
27s
Measured directly from 4 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
1,068 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 85.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
915
85.7%
🔥
86
8.05%
👍
56
5.24%
🥰
9
0.843%
👏
2
0.187%
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 18 of the 18 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 1,068 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 30 June 2026 to 8 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.
Встретились вчера два спектакля) «Женитьба Бальзаминова» и «Женитьба Фигаро»⠀
А сегодня почти в том же составе играем «Идеального мужа» в нашем любимом Театре Комедии) ⠀
Кто не был -ждём! ❤️⠀
А пока, смотрите фото и найдите десять отличий 😹
Наш Театр Комедии работает все лето!
Афиша на август:
2, 9, 20,
Старший сын
2, 5, 8, 10,12, 14, 15, 16, 24, 26 Идеальный муж
4, 7, 19, 23, 25, 30 Женитьба Бальзаминова
23 Женихи по объявлению
30 Женитьба
До встречи в зрительном зале!
Прекрасный съёмочный день 🎬Когда работа в радость ❤️⠀
Мята в чае, арбуз на столе, солнце в зените. Это лето не проходит мимо. Щедрое, сочное, настоящее. Таким его и запомню.
Как я люблю наши съемки! ⠀
Особенно когда они проходят в милых сердцу места. ⠀
Сегодня мы именно там, где нужно. Тверь встретила нас особым светом и ритмом. Здесь воздух какой-то другой, волжский. ⠀
А куда именно мы отправились и что скрывают следующие кадры пока секрет 🩷.
Отпуск позади, и я с новыми силами возвращаюсь на любимую сцену!
В оставшиеся дни июля играю для вас:
22 июля — «Женитьба Бальзаминова»
24, 25 и 31 июля — «Идеальный муж»
До встречи в зрительном зале в Театре Комедии!
Сижу и думаю о том, что впереди еще неделя отпуска🩵🙌🏻
❤60🔥10
Showing the 12 most recent of 18 posts we hold for @vulichenko. 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
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.
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.
Наталия Антонова @antonova_official · 49,056 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 26 August 2026
Анна Семенович @annsemenovich · 26,770 Telegram ranks this channel #13 of 87 here — alongside 86 others — read 12 September 2026
Dmitrii & Nivy @dmitriinivy · 24,895 Telegram ranks this channel #52 of 63 here — alongside 62 others — read 15 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“Екатерина Вуличенко” (@vulichenko), 4,578 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/vulichenko.
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.