Telegram RegisterThe public register of Telegram
Telegram profile photo for Ольга БУДИНА

Channel

Ольга БУДИНА

@olga_budina

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

17,410subscribers

-99 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-1001506181471
TypeChannel
Username@olga_budina
DescriptionОфициальный канал Ольги Будиной, актрисы, режиссёра, продюсера, общественно-политического деятеля, лауреата Государственной Премии РФ в области литературы и искусства.
Created25 June 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/olga_budina

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 37% 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

17,41017,62217,5166 August 2026 — 17,509 subscribers6 August 2026 — 17,509 subscribers8 August 2026 — 17,506 subscribers9 August 2026 — 17,500 subscribers10 August 2026 — 17,498 subscribers11 August 2026 — 17,503 subscribers12 August 2026 — 17,500 subscribers13 August 2026 — 17,494 subscribers14 August 2026 — 17,507 subscribers16 August 2026 — 17,503 subscribers17 August 2026 — 17,518 subscribers18 August 2026 — 17,512 subscribers19 August 2026 — 17,503 subscribers20 August 2026 — 17,486 subscribers22 August 2026 — 17,510 subscribers23 August 2026 — 17,511 subscribers25 August 2026 — 17,518 subscribers26 August 2026 — 17,513 subscribers27 August 2026 — 17,518 subscribers28 August 2026 — 17,602 subscribers29 August 2026 — 17,618 subscribers31 August 2026 — 17,622 subscribers1 September 2026 — 17,617 subscribers2 September 2026 — 17,614 subscribers3 September 2026 — 17,610 subscribers5 September 2026 — 17,604 subscribers8 September 2026 — 17,584 subscribers11 September 2026 — 17,576 subscribers13 September 2026 — 17,572 subscribers14 September 2026 — 17,571 subscribers16 September 2026 — 17,565 subscribers18 September 2026 — 17,560 subscribers2 October 2026 — 17,531 subscribers7 October 2026 — 17,526 subscribers12 October 2026 — 17,520 subscribers14 October 2026 — 17,511 subscribers15 October 2026 — 17,509 subscribers16 October 2026 — 17,510 subscribers18 October 2026 — 17,511 subscribers19 October 2026 — 17,513 subscribers20 October 2026 — 17,515 subscribers21 October 2026 — 17,513 subscribers22 October 2026 — 17,502 subscribers23 October 2026 — 17,501 subscribers24 October 2026 — 17,499 subscribers25 October 2026 — 17,494 subscribers26 October 2026 — 17,485 subscribers27 October 2026 — 17,483 subscribers28 October 2026 — 17,474 subscribers29 October 2026 — 17,470 subscribers30 October 2026 — 17,461 subscribers31 October 2026 — 17,447 subscribers1 November 2026 — 17,431 subscribers2 November 2026 — 17,424 subscribers3 November 2026 — 17,422 subscribers4 November 2026 — 17,418 subscribers5 November 2026 — 17,419 subscribers6 November 2026 — 17,413 subscribers7 November 2026 — 17,410 subscribers6 August 20267 November 2026
59 measurements spanning 94 days, net -99. 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 17,378–17,654 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
7 Nov 2026, 17:5717,410-3
6 Nov 2026, 18:0117,413-6
5 Nov 2026, 15:4517,419+1
4 Nov 2026, 13:3617,418-4
3 Nov 2026, 13:4817,422-2
2 Nov 2026, 13:1917,424-7
1 Nov 2026, 13:2917,431-16
31 Oct 2026, 14:4517,447-14
30 Oct 2026, 15:4617,461-9
29 Oct 2026, 17:1017,470-4
28 Oct 2026, 20:3917,474-9
27 Oct 2026, 17:3717,483-2
26 Oct 2026, 16:0917,485-9
25 Oct 2026, 16:2717,494-5
24 Oct 2026, 13:2817,499-2
23 Oct 2026, 14:0617,501-1
22 Oct 2026, 11:4617,502-11
21 Oct 2026, 08:0917,513-2
20 Oct 2026, 03:2817,515+2
19 Oct 2026, 04:0817,513first reading

Engagement

38 posts held, back to 25 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.2%
avg views ÷ 17,410 subscribers
Avg views / post
2,640
3 posts measured
Reaction rate
4.22%
reactions ÷ views · ER floor
Posts in window
3
of 38 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 26 October 2026
Posts held38 (25 June 2026 – 26 October 2026)
Views total7,920
Reactions total334
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 16:24 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
≈2,830
Videos
≈2,550
Links
≈5,620

Lifetime counters from Telegram’s own channel header, read 8 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
2h 27m
Average length
14m 46s

Measured directly from 10 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

4,671 reactions across 37 posts, in 24 distinct kinds. The most used accounts for 33.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,56233.4%
👍77116.5%
🙏56412.1%
💯47110.1%
🔥3998.54%
👏2926.25%
❤‍🔥1453.10%
😁1002.14%
🤬972.08%
🎉661.41%
😱541.16%
🥰370.792%
😢280.599%
👎260.557%
🤔180.385%
🕊130.278%
⚡70.15%
🤣70.15%
🤨50.107%
🤩40.086%
4 further kinds50.107%

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 37 of the 38 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 4,671 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 25 June 2026 to 26 October 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 3 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).

26 Oct 2026, 20:31 UTC≈1,810 views65 reactionsread 8 November 2026
Forwarded from @mirbelogoryaVideo

«Фронтовая полоса». Белгород: неспокойные выходные Какие беспилотники применил противник? Откуда били? И только ли дроны использовали? Подробности масштабного комбинированного налёта на город в ночь на воскресенье приводит военный обозреватель, ветеран боевых действий, полковник Геннадий Алёхин. (Мнение эксперта может не совпадать с мнением редакции) Подписаться|Прислать новость|MAX| Дзен| Rutube

🙏54❤8😱3

25 Oct 2026, 18:00 UTC≈3,050 views177 reactionsread 8 November 2026
Video

Дорогие друзья, ну не могу не поделиться с вами этим чудесным видео! Выводы и эмоции у каждого свои, я же от всего сердца желаю вам прекрасного воскресного вечера и приятного человеческого общения!

😁95👍51❤15🔥10🤬4🤩2

12 Oct 2026, 18:19 UTC≈3,060 views92 reactionsread 8 November 2026
Forwarded from @tvtacticalmedVideo

⚡️ ЗОНЫ ОПАСНОСТИ, СПИСКИ ИМУЩЕСТВА И АЛГОРИТМЫ: КАК ЗАЩИТИТЬ СЕБЯ ОТ БПЛА Дроны уже давно перестали быть угрозой исключительно переднего края — они долетают до глубокого тыла, трасс и жилых кварталов. Однако опасность в 5 км от фронта и в 500 км от него — принципиально разная: отличаются типы дронов, полезная нагрузка и время на принятие решений. Главная ошибка — отсутствие системы. Когда небо гудит, некогда читат…

🙏60❤23👍9

5 Oct 2026, 07:32 UTC≈5,620 views179 reactionsread 8 November 2026
Photo

Не забывайте тех, кто нас учил! Без их тепла и доброго участья Нам никогда бы двери не открыл Огромный мир любви, надежд и счастья! Не забывайте тех, кто нас учил! Кто каждый день встречал нас в школьном классе, Кто нас ругал и радостно хвалил, Ища бриллианта грани в общей массе! Не забывайте тех, кто нас учил! Кто подмечал успехи и ошибки, Кто не жалел терпения и сил, Усталость пряча, нам дарить улыбки! Не забыва…

❤121👍33❤‍🔥14🔥7🙏4

1 Oct 2026, 08:22 UTC≈3,290 views81 reactionsread 8 November 2026

С днём музыки, дорогие товарищи! Немного позитива от Тимура Ведерникова весьма полезно, особенно в первый день октября.

❤49👍20🥰12

25 Sept 2026, 11:55 UTC≈4,020 views88 reactionsread 8 November 2026
Photo

Завтра, в субботу 26 сентября в Москве на Поклонной горе пройдет очень красивое и совершенно беспрецедентное событие, приезжайте за воспоминаниями!

❤45🔥26👏16❤‍🔥1

25 Sept 2026, 10:45 UTC≈3,470 views82 reactionsread 8 November 2026

Очень не хочется о плохом, но делаю этот репост, чтобы настало в Донецке и на наших других территориях, наконец, хорошее. Надеюсь, что публичность поможет найти ответ на вопрос, причем здесь наша военная полиция и кого реально она защищает? Делайте репосты, зло боится света.

🤬58😱13🤔6🔥3👎2

18 Sept 2026, 15:29 UTC≈3,740 views252 reactionsread 8 November 2026

Дорогие Друзья! Сердечно благодарю вас за ваши добрые слова, очень неожиданный день сегодня, все поздравляют как в Новый год, удивительно🥰🙏

❤187🙏38👏27

18 Sept 2026, 08:09 UTC≈3,830 views497 reactionsread 8 November 2026
Photo

Дорогие подписчики и гости канала! Буквально полчаса назад произошло величайшее и знаковое событие! Нашей прекрасной , несравненной и неповторимой Ольге Александровне БУДИНОЙ присвоили звание: «ЗАСЛУЖЕННЫЙ АРТИСТ РОССИЙСКОЙ ФЕДЕРАЦИИ»! 🎉🎉🎉 Ура, товарищи! Это звание заслужено очень давно и наконец-то было официально подтверждено!🎇 Поздравляем от всех наших горячих и любящих Вас сердец! ❤️

❤314👏118🎉51🙏9👍4🤣1

6 Sept 2026, 23:47 UTC≈4,010 views187 reactionsread 8 November 2026
Forwarded from @riakatyshaPhoto

БелГУ превращается в вотчину форсайтщиков и цифротрансформеров? Вот такую характерную даму из МШУ «Сколково» пригласило руководство НИУ БелГУ в университет с открытой лекцией в рамках конференции «НЕконференция» по случаю 150-летия с момента основания университета. Знакомьтесь (кто не знал)- Ольга Назайкинская - профессор практики, директор центра трансформации образования «Сколково» (экспертом этого же центра являе…

💯148👍20❤9⚡5🤔4👏1

6 Sept 2026, 14:10 UTC≈3,020 views87 reactionsread 8 November 2026
Video

Дорогие Друзья, огромное спасибо за помощь! Работаем дальше, готовимся к осени, меняются расцветки маскировочных сетей. 🔥 НАШ СБОР: 2202206721916026 (копируется нажатием, карта Сбера) Всё для ФРОНТА! 🔥 Всё для ПОБЕДЫ! 👊 #белгородскиехроникиZ #ШебекиноЭтоРоссия #БелгородЭтоРоссия

🙏65❤17🕊4👎1

3 Sept 2026, 16:44 UTC≈3,060 views55 reactionsread 8 November 2026

Друзья, родители, информация для вас - Российское общество «Знание» запустило проект по противодействию мошенникам и другой нечисти. Подобная система безопасности сегодня становится такой же необходимой, как знание правил движения.

👍33🙏21🤩1

Showing the 12 most recent of 38 posts we hold for @olga_budina. 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.

Ольга Кормухина
@olgakormukhina · 25,580
Telegram ranks this channel #14 of 93 here — alongside 92 others — read 13 September 2026
Мария Шукшина
@mariashukshina · 152,131
Telegram ranks this channel #66 of 92 here — alongside 91 others — read 12 August 2026
ПАРФЕНТЬЕВ.КЛУБ 🇷🇺
@parfentiev_club · 33,817
Telegram ranks this channel #70 of 85 here — alongside 84 others — read 3 September 2026
⚠️ Общественный уполномоченный по защите семьи (ОУЗС)
@ouzs_ru · 77,059
Telegram ranks this channel #73 of 88 here — alongside 87 others — read 19 August 2026
РВС (Родительское Всероссийское Сопротивление)
@RVSsu · 22,192
Telegram ranks this channel #76 of 96 here — alongside 95 others — read 21 September 2026
ШАФРАН
@annashafran · 47,390
Telegram ranks this channel #84 of 94 here — alongside 93 others — read 26 August 2026

This channel appears in 6 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.

Q1977596 on Wikidata, read 8 November 2026
LabelOlga Budina
DescriptionRussian theater and film actress

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

“Ольга БУДИНА” (@olga_budina), 17,410 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/olga_budina.

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.