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Channel

Сергей Буланов

@sergeibulanov

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

3,672subscribers

-11 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001565864593
TypeChannel
Username@sergeibulanov
Created25 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/sergeibulanov

Growth

3,6723,6843,6786 August 2026 — 3,683 subscribers6 August 2026 — 3,683 subscribers7 August 2026 — 3,684 subscribers10 August 2026 — 3,682 subscribers13 August 2026 — 3,680 subscribers16 August 2026 — 3,672 subscribers6 August 202616 August 2026
6 measurements spanning 10 days, net -11. 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 3,670–3,686 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:143,672-8
13 Aug 2026, 08:073,680-2
10 Aug 2026, 09:333,682-2
7 Aug 2026, 01:403,684+1
6 Aug 2026, 10:483,683no change
6 Aug 2026, 09:573,683first reading

Engagement

16 posts held, back to 4 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.9%
avg views ÷ 3,672 subscribers
Avg views / post
1,170
5 posts measured
Reaction rate
3.53%
reactions ÷ views · ER floor
Posts in window
5
of 16 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 3 August 2026
Posts held16 (4 June 20263 August 2026)
Views total5,858
Reactions total207
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:56 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

Video runtime
9m 50s
Average length
1m 38s

Measured directly from 6 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

770 reactions across 16 posts, in 17 distinct kinds. The most used accounts for 50.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
39250.9%
👍13617.7%
😁688.83%
🔥425.45%
❤‍🔥334.29%
🎉202.60%
👎202.60%
👏182.34%
🙏131.69%
🤔101.30%
🤣91.17%
🙈30.39%
🗿20.26%
👀10.13%
👌10.13%
💔10.13%
💯10.13%

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 16 of the 16 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 770reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 4 June 2026 to 3 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 16 we hold a reading for · 13%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sergeibulanov. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 16 most recent posts we hold for this entry, published 4 June 2026 to 3 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

3 Aug 2026, 13:39 UTC659 views27 reactionsread 7 August 2026
Forwarded from @petrglavatskikhVideo

Вот теперь и на планете великой Валентины Николаевны Левко оставили следы мои четыре палочки. Не просто играл, а вписывал ими, как золотым «Паркером», аккорды, мелодию и звуки вибрафона в оригинальной новой аранжировке «Песни о любви». Я даже представить себе не мог, что могу поучаствовать в таком важном, нужном и историческом процессе. Но Сергей Буланов пригласил меня — и всё завертелось. Так что иногда надо быть п

16👍8🙏3

31 Jul 2026, 19:29 UTC979 views56 reactionsread 7 August 2026
Video

Исторический день! Сейчас посмотрели, что эта идея родилась 22 мая… и сегодня уже все состоялось так, что даже вообразить себе трудно! Смотрел на сцену и не верил, что все эти музыканты собрались в одно время в одном месте, потому что не могли иначе – все моментально на фамилию «Левко» говорила ДА! Лучшие из лучших – Великому голосу: Екатерина Лукаш (меццо-сопрано), Гайк Казазян (скрипка), Сергей Полтавский (альт), Ю

41👍8👏6💯1

28 Jul 2026, 12:01 UTC≈1,310 views20 reactionsread 7 August 2026
Forwarded from @TheatreHDPhoto

Друзья из Москвы, 7 августа в 19:00 приглашаем вас на очередную встречу Оперного клуба TheatreHD в Кинозале ГУМ. Будем смотреть самую летнюю из всех опер, дивную «Итальянку в Алжире» Россини с невероятными Чечилией Бартоли и Ильдаром Абдразаковым, которые устраивают остроумный и при этом безупречно музыкальный переполох на Зальцбургской сцене! Разобраться в сюжетных перипетиях и разрешить конфликт полов и цивилизаци

13👍6❤‍🔥1

26 Jul 2026, 13:27 UTC≈1,430 views62 reactionsread 7 August 2026
Video

«На тот большак»: к 100-летию Валентины Левко, первой исполнительницы этой культовой песни Мы готовим уникальный трибьют: в память о народной артистке РСФСР Валентины Левко 13 августа будет выпущена новая версия песни Марка Фрадкина на стихи Николая Доризо «На тот большак» в аранжировке Валерия Кикты. Сингл на всех цифровых платформах выпустит фирма «Мелодия», а также будет снят клип командой известного кинорежиссер

39👍14🔥9

22 Jul 2026, 12:22 UTC≈1,480 views42 reactionsread 7 August 2026
Photo

ТАСС – генеральный партнер юбилейной программы к 100-летию Валентины Левко! Благодарю Николая Баскова за замечательные и сердечные слова о Валентине Николаевне, которые здесь хочу привести целиком: Мой педагог в Гнесинке Валентина Николаевна Левко дала мне гораздо больше, чем серьёзную вокальную школу. Дала опыт общения с большой артисткой и художником пения. Её голос был не просто бархатно-глубоким и красивым – в н

28👍7🙏3🔥2🗿2

17 Jul 2026, 08:55 UTC≈2,030 views94 reactionsread 7 August 2026
Photo

Всем привет из Большого театра! С уважением, Ваш балетный критик Сергей Буланов

😁41❤‍🔥25👍18🔥43🤣3

15 Jul 2026, 20:03 UTC≈2,170 views81 reactionsread 7 August 2026
Video

⚡️ Анонсирую первый в России ИИ-сериал о судьбе оперной певицы К 100-летию звезды Большого театра Валентины Левко 🗓️ Первая серия выйдет 16 июля 2026 Instagram* | YouTube | VK * Принадлежит Meta, признанной экстремистской и запрещенной в РФ

30👎19👍12🤔9🤣4🙈3👏2❤‍🔥1

13 Jul 2026, 07:35 UTC≈2,030 views49 reactionsread 7 August 2026
Photo

«Шостакович и Щедрин. Ощущение внутренней свободы»: премьера моей новой лекции в Истре на фестивале «Лето. Музыка. Музей» | На фото с Адой Айнбиндер и Валентиной Семановой-Левко, внучкой Валентины Николаевны Левко. P.S. Потом на гала Абисал Гергиев блестяще сыграл Первый концерт Щедрина, очень эффектно и музыкально. Я под впечатлением!

28👏10🔥6👍5

13 Jul 2026, 06:49 UTC≈1,510 views22 reactionsread 7 August 2026
Forwarded from @avangardnenkoyePhoto

В новом выпуске альманаха «Время слышать» вышло мое интервью с певицей и музыковедом Светланой Савенко, приуроченное к ее 80-летию. Светлана Ильинична - свидетельница и участница той интенсивной полуофициальной-полуподпольной культурной жизни 70-80-х годов, сосредоточенной вокруг новой музыки. В этом интервью мне хотелось поговорить с героиней в первую очередь как с певицей, ведь «музыковеды обычно не поют» (с), поэ

12👍4🔥4❤‍🔥2

8 Jul 2026, 08:49 UTC≈1,680 views35 reactionsread 7 August 2026
Photo

В Истре стартует фестиваль «Лето. Музыка. Музей» Я приму участие в лекционной программе, перед финальным гала-концертом проведу встречу со зрителями под кодовым названием «Шостакович и Щедрин» ) Билетов на концерт, по которым можно будет пройти на встречу, уже нет (РНО, дирижер – Валерий Гергиев, солисты – Елена Таросян и Абисал Гергиев), но если кто-то давно запланировал поездку – приезжайте пораньше и приходите 1

21👍9🔥4👌1

3 Jul 2026, 12:44 UTC≈1,860 views28 reactionsread 7 August 2026
Forwarded from @classicalmusicnewsPhoto

Внимание, бестселлер на марше!!! В издательстве «Планета музыки» вышла новая книга Семёна Скигина «Улыбка Джоконды, или Несерьезные истории для серьезных музыкантов». https://www.classicalmusicnews.ru/articles/vnimanie-bestseller-na-marshe/?utm_source=cmn_own&utm_medium=telegram 🎼 ClassicalMusicNews.Ru | Telegram | ВК | МАКС

18👍6🎉4

1 Jul 2026, 10:43 UTC≈1,800 views44 reactionsread 7 August 2026
Forwarded from @you_are_art_mindedVideo

13 августа 2026 года исполняется 100 лет одному из самых редких голосов русской оперы — Валентине Николаевне Левко, чья тёмная, бархатная краска тембра стала легендой Левко обладала природным контральто — самым низким и редким женским голосом. Такой тембр встречается буквально у единиц в мире; в Большом театре её называли лучшим контральто за всю историю. Также Валентина Николаевна пела репертуар меццо-сопрано. Изд

36🎉5🙏3

Showing the 12 most recent of 16 posts we hold for @sergeibulanov. 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.

Citation-graph rank

Citation-graph rank — 57,217 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Сергей Буланов” (@sergeibulanov), 3,672 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/sergeibulanov.

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.