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Channel

Дневник STUDIO 29

@studio29live

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

21,690subscribers

-165 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001527564193
TypeChannel
Username@studio29live
Created8 July 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/studio29live

Growth

21,69021,85521,772.57 August 2026 — 21,855 subscribers7 August 2026 — 21,855 subscribers7 August 2026 — 21,815 subscribers8 August 2026 — 21,790 subscribers9 August 2026 — 21,778 subscribers10 August 2026 — 21,768 subscribers11 August 2026 — 21,758 subscribers12 August 2026 — 21,746 subscribers14 August 2026 — 21,721 subscribers15 August 2026 — 21,703 subscribers16 August 2026 — 21,690 subscribers7 August 202616 August 2026
11 measurements spanning 10 days, net -165. 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 21,665–21,880 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 21:1921,690-13
15 Aug 2026, 14:5621,703-18
14 Aug 2026, 03:4621,721-25
12 Aug 2026, 18:1521,746-12
11 Aug 2026, 20:1521,758-10
10 Aug 2026, 23:1821,768-10
9 Aug 2026, 23:3221,778-12
8 Aug 2026, 20:2421,790-25
7 Aug 2026, 19:5121,815-40
7 Aug 2026, 06:3021,855no change
7 Aug 2026, 06:2921,855first reading

Engagement

18 posts held, back to 2 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 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.55%
avg views ÷ 21,690 subscribers
Avg views / post
988
18 posts measured
Reaction rate
1.57%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 16 August 2026
Posts held18 (2 August 202616 August 2026)
Views total17,781
Reactions total280
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 18:23 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.

Reaction mix

280 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 64.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 529223032528230518618164.6%
💘3010.7%
258.93%
👀207.14%
🔥155.36%
👏82.86%
👍10.357%

Custom emoji. One 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 count beside it isTelegram’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 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 280reactions 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 2 August 2026 to 16 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

16 Aug 2026, 08:10 UTC352 views12 reactionsread 16 August 2026
Forwarded from @ivolgafashionPhoto

Собрали для вас осеннюю капсулу ívolga × STUDIO 29 — про тёплые оттенки, выразительные фактуры и вещи, которые легко становятся частью нашей жизни. Нам было важно подобрать вещи так, чтобы они легко находили своё место друг рядом с другом. Меняйте сочетания, добавляйте детали и собирайте образы под разные планы. Всё необходимое, чтобы встретить новый сезон красиво и комфортно. Изделия представлены в пространстве St

👏8custom 52922303252823051864

15 Aug 2026, 19:02 UTC675 views16 reactionsread 16 August 2026
Photo

Образ Юлии в деталях 💙 Юбка Бемби стала бестселлером не просто так. Она комплиментарно выглядит как в летних образах, так и в осенних – с колготками, тренчем и свитером. При этом бемби-принт не берет много на себя и таким образом юбка становится базой вашего гардероба. Любимой базой🤍

custom 5292230325282305186142

14 Aug 2026, 14:56 UTC860 views16 reactionsread 16 August 2026

Posted without readable text

custom 5292230325282305186115

13 Aug 2026, 19:43 UTC905 views12 reactionsread 16 August 2026

Posted without readable text

custom 529223032528230518653💘3👀1

12 Aug 2026, 17:36 UTC977 views20 reactionsread 16 August 2026

Posted without readable text

🔥11custom 529223032528230518663

11 Aug 2026, 19:18 UTC≈1,140 views22 reactionsread 16 August 2026
Photo

STUDIO 29 x Lamoda Капсула передает состояние первых прохладных дней, новых маршрутов, собранности и легкой ностальгии. Это время, когда город снова оживает после лета, а повседневность приобретает особую эстетику: более строгую, внимательную к деталям, но не лишенную цвета и эмоции. Что вошло в коллаборацию? В основу капсулы вошли классические силуэты, вдохновленные эстетикой переосмысленной униформы: структурные

custom 529223032528230518613👀54

10 Aug 2026, 13:41 UTC≈1,170 views17 reactionsread 16 August 2026
Forwarded from @lamoda_na_svyazi

Posted without readable text

custom 529223032528230518616👀1

10 Aug 2026, 07:20 UTC≈1,060 views10 reactionsread 16 August 2026
Photo

Разгадайте ребус, чтобы узнать, с кем у нас выходит коллаборация уже сегодня🔎💙👀

custom 52922303252823051867🔥3

9 Aug 2026, 10:36 UTC≈1,080 views20 reactionsread 16 August 2026
Photo

Всегда стоит вопрос – как вещь будет смотреться на вас, когда видете ее на сайте? Для этого мы собрали 3️⃣ образа в офисе. Рост модели на сайте – 175 см, рост контент-директора Леры – 159 см. Образ 1️⃣: Жакет и брюки синего цвета, под жакетом базовая футболка. Образ 2️⃣: Пиджак и брюки в полоску, Лера дополнила костюм юбкой, которую подвернула как акцент. Образ 3️⃣: Жакет и юбка годе в сочетании с трикотажным то

custom 529223032528230518614👀3💘3

8 Aug 2026, 19:19 UTC≈1,130 views15 reactionsread 16 August 2026
Photo

Что делает лонгсливы STUDIO 29 особенными?💙 ▫️Натуральный состав: 20% шерсть, 75% тенсель, 5% спандекс. Тонкий трикотаж сочетает тепло шерсти, мягкость тенселя и эластичность спандекса - именно поэтому лонгслив приятно носить каждый день. ▫️Цвета, которые легко комбинировать: Молочный и коричневый – база на каждый день. Бирюзовый и розовый будут красивыми акцентами в вашем гардеробе. ▫️Проверенный временем силуэт:

custom 529223032528230518612👀21

7 Aug 2026, 18:23 UTC≈1,170 views21 reactionsread 16 August 2026
Photo

Образ на любой случай – в офис или на прогулку по городу 💙 На Лене: 🤍 Синий жакет – мы повторили наш бестселлер в новом глубоком красивом синем оттенке. 🤍 Лонгслив с премиальным составом – 75% тенсель, 20% шерсть, 5% спандекс. 🤍 Юбка годе из костюмной ткани. Как она красиво струится из-за своей особенности в форме – 6 вертикальных клиньев визуально вытягивают фигуру. Нам нравится миксовать в одном образе разные

custom 529223032528230518615💘6

6 Aug 2026, 09:04 UTC≈1,120 views13 reactionsread 15 August 2026
Photo

Мы уже разобрали чемоданы из отпуска и готовы возвращаться в офис в новинках STUDIO 29: 🧶 костюм в полоску с широкими брюками и пиджаком, лацканы которого можно поднимать, создавая воротник-стойку. Не будет преувеличением, если мы скажем, что это маст-хев осеннего гардероба. 🧶 джемпер с ромбами – классика, которая снова стала хот-трендом. 🧶 уже иконический маленький жакет в новых цветах – синем и коричневом. 🧶 бр

custom 529223032528230518693👍1

Showing the 12 most recent of 18 posts we hold for @studio29live. 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 — 234,724 of 1,481,502entries 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.

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.

Mentions

Named by 5 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.

“Дневник STUDIO 29” (@studio29live), 21,690 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/studio29live.

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.