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Channel

V_B

@vasilieva_balabanova

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

10,360subscribers

-188 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001887480468
TypeChannel
Username@vasilieva_balabanova
DescriptionВасильева-Балабанова
Created6 December 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held57
Confirmed unchanged2 times, most recently 6 November 2026
On Telegramt.me/vasilieva_balabanova

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 the other topics.

Growth

10,35410,54810,4516 August 2026 — 10,548 subscribers6 August 2026 — 10,548 subscribers7 August 2026 — 10,547 subscribers8 August 2026 — 10,546 subscribers9 August 2026 — 10,548 subscribers10 August 2026 — 10,542 subscribers11 August 2026 — 10,540 subscribers12 August 2026 — 10,543 subscribers13 August 2026 — 10,539 subscribers14 August 2026 — 10,533 subscribers16 August 2026 — 10,528 subscribers17 August 2026 — 10,522 subscribers18 August 2026 — 10,518 subscribers19 August 2026 — 10,516 subscribers20 August 2026 — 10,517 subscribers23 August 2026 — 10,515 subscribers24 August 2026 — 10,516 subscribers25 August 2026 — 10,513 subscribers26 August 2026 — 10,508 subscribers27 August 2026 — 10,497 subscribers28 August 2026 — 10,496 subscribers29 August 2026 — 10,494 subscribers31 August 2026 — 10,484 subscribers1 September 2026 — 10,485 subscribers2 September 2026 — 10,490 subscribers3 September 2026 — 10,485 subscribers5 September 2026 — 10,484 subscribers8 September 2026 — 10,480 subscribers11 September 2026 — 10,470 subscribers13 September 2026 — 10,467 subscribers15 September 2026 — 10,458 subscribers19 September 2026 — 10,454 subscribers26 September 2026 — 10,438 subscribers4 October 2026 — 10,413 subscribers9 October 2026 — 10,417 subscribers13 October 2026 — 10,403 subscribers14 October 2026 — 10,396 subscribers15 October 2026 — 10,399 subscribers16 October 2026 — 10,393 subscribers17 October 2026 — 10,389 subscribers18 October 2026 — 10,386 subscribers19 October 2026 — 10,379 subscribers20 October 2026 — 10,376 subscribers21 October 2026 — 10,375 subscribers22 October 2026 — 10,372 subscribers23 October 2026 — 10,373 subscribers24 October 2026 — 10,371 subscribers25 October 2026 — 10,373 subscribers26 October 2026 — 10,371 subscribers27 October 2026 — 10,368 subscribers28 October 2026 — 10,356 subscribers29 October 2026 — 10,357 subscribers1 November 2026 — 10,359 subscribers2 November 2026 — 10,358 subscribers3 November 2026 — 10,355 subscribers4 November 2026 — 10,354 subscribers5 November 2026 — 10,360 subscribers10,3606 August 20265 November 2026
57 measurements spanning 91 days, net -188. 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 10,325–10,577 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
5 Nov 2026, 08:0710,360+6
4 Nov 2026, 08:1010,354-1
3 Nov 2026, 05:3810,355-3
2 Nov 2026, 03:1410,358-1
1 Nov 2026, 00:4810,359+2
29 Oct 2026, 23:4610,357+1
28 Oct 2026, 23:1610,356-12
27 Oct 2026, 18:4910,368-3
26 Oct 2026, 21:2710,371-2
25 Oct 2026, 19:5910,373+2
24 Oct 2026, 17:5910,371-2
23 Oct 2026, 18:1710,373+1
22 Oct 2026, 20:3910,372-3
21 Oct 2026, 15:1910,375-1
20 Oct 2026, 11:2110,376-3
19 Oct 2026, 14:4410,379-7
18 Oct 2026, 14:5610,386-3
17 Oct 2026, 17:4710,389-4
16 Oct 2026, 16:4510,393-6
15 Oct 2026, 19:5810,399first reading

Engagement

28 posts held, back to 26 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 46 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.2%
avg views ÷ 10,360 subscribers
Avg views / post
1,360
9 posts measured
Reaction rate
5.36%
reactions ÷ views · ER floor
Posts in window
9
of 28 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
WindowRolling 30 days · latest post in window 5 November 2026
Posts held28 (26 July 2026 – 5 November 2026)
Views total12,282
Reactions total658
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 21:01 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

Photos
≈12,300
Videos
≈1,320
Links
≈362

Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
6m 58s
Average length
2m 19s

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

2,359 reactions across 28 posts, in 14 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,57466.7%
😁25911.0%
🔥2189.24%
👍803.39%
😍652.76%
🥰431.82%
👏421.78%
🙏341.44%
🤩160.678%
👎80.339%
😐70.297%
🤣70.297%
😢50.212%
👀10.042%

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 28 of the 28 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 2,359 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 26 July 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 18:30 UTC872 views106 reactionsread 6 November 2026
Photo

Марокканские кошки

❤76🔥19😍10🤩1

3 Nov 2026, 13:05 UTC≈1,710 views64 reactionsread 6 November 2026
Photo

Ой, как я их всех знаю! Про каждого могу рассказать маленькую присказку, в основном про их образ и одежду, что естественно в моём случае. Я по ним восстанавливаю события, характер и имена. Вот, например, основательница школы ЛЮБОВЬ АРКУС. Сидит в джинсовой куртке. Почему!? Да потому что ей так Хамдамов посоветовал давным-давно, ещё когда деревья были большими. . Только ещё брошку повелевал приколоть на воротник. А…

❤62🔥1😍1

3 Nov 2026, 12:29 UTC≈1,130 views22 reactionsread 6 November 2026
Forwarded from @seance_schoolVideo

Школа «Сеанс» объявляет новый набор. Подать заявку можно уже сейчас. В новом учебном году, стартующем 1 марта 2027 года, начнут работу шесть совершенно новых мастерских: ⚫️ Мастерская режиссуры и сценарного дела Стаса Иванова и Евгения Коряковского; ⚫️ Режиссерская мастерская Александра Велединского и Александра Гурьянова; ⚫️ Мастерская режиссеров анимации Михаила Алдашина и Лизы Скворцовой; ⚫️ Сценарная мастерская…

❤18🔥4

3 Nov 2026, 11:50 UTC≈1,210 views59 reactionsread 6 November 2026
Photo

Ещё есть Рита, но она меряет короны, а не кокошники.

❤45🤩14

2 Nov 2026, 09:09 UTC≈1,480 views128 reactionsread 6 November 2026
Photo

Это Саша -мастер по волосам. Чужим.

😁76🥰22❤16🔥10🤣4

2 Nov 2026, 09:05 UTC≈1,410 views80 reactionsread 6 November 2026
Photo

Это Лера. Запрограмировала все кокошники

❤50🔥28👍2

2 Nov 2026, 08:01 UTC≈1,510 views89 reactionsread 6 November 2026
Photo

- Лёль, а ,Лёль! Вопросы прилетели от подписчиков! Из чего кокошники? И как сделаны? - Мы взяли за основу рисунки вышивки воротников середины 19 века. Потом Лера их запрограммировала в натуральную величину. Чтобы меньше вопросов было. Определили цветовую гамму. Затем студенты различных художественных вузов взялись за работу, вооружившись 3Д ручками. Помню,…

❤60🔥23👍6

1 Nov 2026, 14:25 UTC≈1,660 views70 reactionsread 5 November 2026
Photo

Понятно, что у Безрукова много поклонников, но чтобы на коленях вокруг ползали….! Может это он «Чудо-Юдо» на самом-то деле?!

😁37❤17🔥14👍2

1 Nov 2026, 09:05 UTC≈1,300 views40 reactionsread 3 November 2026
Photo

Мумия, Александр, Игра престолов, Секс в большом городе 2. Сколько же фильмов снято в Марокко!! Марокканцы народ предприимчивый, что добру пропадать, создали музей из остатков от декораций. Нам , правда, сказали, что не нужно время тратить на поход в музей. Все равно, что на Мосфильм сходить. Действительно, оказалось похоже. Пылью покрытое, без прикрас. Но сам факт, что ты видишь декорации любимого «Гладиатора» , кон…

❤27😁11👍2

27 Aug 2026, 15:38 UTC940 views97 reactionsread 29 August 2026
Photo

Какой он был в юности? Сам-то много про Нижний рассказывал. Захотелось еще давно послушать сокурсников. Единственный способ -пригласить всех в гости. И что за причина не встречаться - разные города и страны? Два года собирались, а сейчас оказалось, что ровно 50 лет назад они все впервые увидели друг друга . Будущие переводчики с военной кафедрой. Некоторые уже на том свете, некоторые не смогли, а кто-то оказался нер…

❤95😍2

27 Aug 2026, 11:01 UTC≈1,080 views17 reactionsread 29 August 2026
Forwarded from @operashkaPhoto

Ребята! 6 сентября идём в кино! Редкая и уникальная возможность: показ картины «Голубые горы», режиссера Эльдара Шенгелая снятая оператором Леваном Пааташвили. Всех очень зову, особенно если не видели это кино. А Паташвиди на большом экране - огромное удовольствие. Показ в кинотеатре Третьяковской галереи. Ссылка на анонс и билеты. Я буду!

❤13👍4

25 Aug 2026, 23:42 UTC≈1,370 views85 reactionsread 29 August 2026
Photo

Грузинские воспоминания. Кто любит хайкинг - меня поймёт! Но до него нужно еще доехать. И по дороге встретить что-то прекрасное. Неожиданно за поворотом лежали собаки. Охраняли калитку, за которой не обнаружилось ни одного человека, ни души. Но свечи горели, сквозняк их поддувал, ангелы шевелили своими ,исстертыми человеческими поступками , крыльями. Когда вошла в декорацию пустой церкви в «Я тоже хочу» было тоже и…

❤75👍7🙏3

Showing the 12 most recent of 28 posts we hold for @vasilieva_balabanova. 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.

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.

KIRILL AND HIS FRIENDS
@KirillandhisFriends · 24,296
Telegram ranks this channel #20 of 92 here — alongside 91 others — read 15 September 2026
улица балабанова
@ulizabalabanova · 23,263
Telegram ranks this channel #38 of 89 here — alongside 88 others — read 19 September 2026
Кинокостюм для чайников
@kinocostume · 38,991
Telegram ranks this channel #72 of 96 here — alongside 95 others — read 30 August 2026
Исакова
@VikaIsakova1210 · 22,919
Telegram ranks this channel #75 of 82 here — alongside 81 others — read 19 September 2026
Валерия Гайя Германика
@leragermanica · 23,585
Telegram ranks this channel #75 of 91 here — alongside 90 others — read 18 September 2026
СЕАНС
@seance_light · 24,136
Telegram ranks this channel #85 of 93 here — alongside 92 others — read 17 September 2026
Cinemagraphie
@cinemagraphie · 21,334
Telegram ranks this channel #89 of 93 here — alongside 92 others — read 23 September 2026
кино про тебя
@kinoprotebya · 39,777
Telegram ranks this channel #90 of 98 here — alongside 97 others — read 31 August 2026
Искусство кино
@kinoartru · 24,314
Telegram ranks this channel #92 of 97 here — alongside 96 others — read 17 September 2026
РУССКОЕ КИНО В ТОПЕ
@rkvt_2020 · 34,401
Telegram ranks this channel #95 of 97 here — alongside 96 others — read 1 September 2026

This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“V_B” (@vasilieva_balabanova), 10,360 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/vasilieva_balabanova.

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.