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Channel

Beauty Office💄Студия и Школа Визажа Донецк

@beautyoffice_dn

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

492subscribers

+6 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002380284300
TypeChannel
Username@beautyoffice_dn
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/beautyoffice_dn

Growth

4864924898 August 2026 — 486 subscribers8 August 2026 — 486 subscribers16 August 2026 — 492 subscribers8 August 202616 August 2026
3 measurements spanning 9 days, net +6. 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 485–493 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 19:44492+6
8 Aug 2026, 04:31486no change
8 Aug 2026, 03:16486first reading

Engagement

8 posts held, back to 4 August 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.2%
avg views ÷ 492 subscribers
Avg views / post
60.3
8 posts measured
Reaction rate
3.94%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 7 August 2026
Posts held8 (4 August 20267 August 2026)
Views total482
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:31 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
33s
Average length
33s

Measured directly from 1 video 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

19 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 31.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 5260372285105132803631.6%
custom 5194957863012813621526.3%
custom 5260742107559123309315.8%
custom 5328172900832787400315.8%
custom 519299217674051986715.26%
custom 519528964494146200715.26%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 8 of the 8 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 19reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 4 August 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, 07:17 UTC28 views3 reactionsread 8 August 2026
Forwarded from @beautyfest_dnPhoto

Beauty Fest 👩 25-26-27 сентября @beautyoffice_dn Расписание мастер классов: 25 сентября визаж ■10:00 -12:00 Ангелина Безлаковская визажист "Блестки и стрелки 2026" ●12:00-13:00 Яна Ярчак бьюти-эксперт "Искусство порядка: Почему этапность важнее стоимости крема" ■13:00-15:00 Роксана Малая "Деликатный макияж на все случаи.Чистота и работа с кожей". ●15:00-16:00 Валерия Базарова психолог "Клинические случаи бьютимании

custom 52607421075591233092custom 51952896449414620071

6 Aug 2026, 05:08 UTC48 views2 reactionsread 8 August 2026
Photo

Курс Hair стилист Pro в Школе @beautyoffice_dn: 🎀База: Постановка рук, работа с инструментом 🪮 Скорость: Как делать прическу за 1 час и брать за это достойную оплату 🎀 Бонус: Блок по фотографированию работ и ведению соцсетей 📖 Свидетельство государственного образца + помощь в трудоустройстве 10 занятий по 2 часа + экзамен ⭐️ Самые востребованные причёски в работе стилиста; ⭐️ Занятия проходят на качественных профе

custom 52603722851051328031custom 52607421075591233091

6 Aug 2026, 05:05 UTC41 views2 reactionsread 8 August 2026
Photo

Свадебный сезон 2026: мы работаем так, чтобы ты просто была счастлива 🤩💐 Девочки, вы уже листаете пинтерест и примеряете на себя ваш свадебный образ?🪮🌟 В Beauty Office мы открыли запись на свадебный сезон 2026. И сейчас — идеальное время, чтобы выдохнуть и доверить главный день профессионалам ⭐️ Почему невесты выбирают нас? 🔷В студии — твоя личная зона релакса перед церемонией с кофе и уютом. Идеальное утро невес

custom 51929921767405198671custom 51949578630128136211

6 Aug 2026, 05:04 UTC40 views2 reactionsread 8 August 2026
Photo

БАЗОВЫЙ КУРС “LAMI LASHES PRO” 😇🦄 Индивидуальный 2-х дневный курс «LAMI LASHES PRO” в @beautyoffice_dn ⏰14 часов обучения. По завершению курса выпускается готовый к работе специалист. ▫️Теория ▫️1 показ ▫️3 самостоятельные отработки ▫️Материалы и модели на период обучения предоставляются ▫️Сертификат и свидетельство гос образца 💰Стоимость 30000₽ Программа курса: 1-й день: 🔹Теория 🔹1 показ 🔹1 отработ

custom 52603722851051328031custom 53281729008327874001

5 Aug 2026, 20:06 UTC183 views4 reactionsread 8 August 2026
Video

Субботнее утро в Beauty Office прошло под знаком сочных красок! 🖌🎨 Мы собрались 1 августа с @yarko_art_don, чтобы создать не просто картины, а настоящие интерьерные шедевры с фруктами. 3 часа пролетели как одно мгновение!🍉🫐🍋 Смотрите, какая красота у нас получилась! Благодаря акрилу и текстурной пасте мы научились передавать объем и сочную фактуру так, что хочется съесть эти арбузы и цитрусы прямо с холста 😋 Девоч

custom 51949578630128136214

5 Aug 2026, 06:32 UTC46 views2 reactionsread 8 August 2026
Forwarded from @psy_fest_dnPhoto

Донецк! 11-13 сентября состоится крупное мероприятие Фестиваль «Психология Жизни» 🌿 Для тех, кто желает познать новое в мире психологии, послушать интересные лекции и поучаствовать в практиках у лучших специалистов Донецка в мире исцеления тела и души. Расписание Фестиваля «Психология Жизни» 13 сентября 👇👇👇 День 3 13 сентября. День 3 12:00-17:00 ⚪️Егор Джуга - психодинамическая практика ⚪️Елена Сулима - расстан

custom 52603722851051328032

5 Aug 2026, 06:31 UTC41 views2 reactionsread 8 August 2026
Forwarded from @psy_fest_dnPhoto

Донецк! 11-13 сентября состоится крупное мероприятие Фестиваль «Психология Жизни» 🌿 Для тех, кто желает познать новое в мире психологии, послушать интересные лекции и поучаствовать в практиках у лучших специалистов Донецка в мире исцеления тела и души. Расписание Фестиваля «Психология Жизни» 11/12/13 сентября 👇👇👇 🕐11 сентября. День 1. 15:00-20.00 Спикеры: ⚪️Татьяна Доронина.Лекция «Психология речевого имиджа. Ка

custom 52603722851051328032

4 Aug 2026, 05:48 UTC55 views2 reactionsread 8 August 2026
Forwarded from @atlasfitness_donetskPhoto

Photo, posted without a caption

custom 53281729008327874002

Showing the 8 most recent of 8 posts we hold for @beautyoffice_dn. 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 — 26,066 of 1,548,671entries 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

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 8 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Beauty Office💄Студия и Школа Визажа Донецк” (@beautyoffice_dn), 492 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/beautyoffice_dn.

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.