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Channel

Лазерная эпиляция🤍SPB

@LaserLudmilaButusovaSPB

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

176subscribers

+6 since we began measuring on 7 October 2026

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

Register entry

Telegram ID-1003243461728
TypeChannel
Username@LaserLudmilaButusovaSPB
CreatedBetween 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 October 2026
Last confirmed live17 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 17 October 2026
On Telegramt.me/LaserLudmilaButusovaSPB

Growth

1701761737 October 2026 — 170 subscribers11 October 2026 — 173 subscribers17 October 2026 — 176 subscribers7 October 202617 October 2026
3 measurements spanning 10 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 169–177 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Oct 2026, 23:28176+3
11 Oct 2026, 23:55173+3
7 Oct 2026, 18:22170first reading

Engagement

7 posts held, back to 30 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
31.1%
avg views ÷ 176 subscribers
Avg views / post
54.7
7 posts measured
Reaction rate
24.2%
reactions ÷ views · ER floor
Posts in window
7
of 7 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. It is computed over the 2 of 7 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 October 2026
Posts held7 (30 September 2026 – 6 October 2026)
Views total383
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Oct 2026, 18:22 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
1m 13s
Average length
24s

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

22 reactions across 2 posts, in 4 distinct kinds. The most used accounts for 36.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤836.4%
🥰627.3%
🔥522.7%
🤩313.6%

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 2 of the 7 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 22 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 30 September 2026 to 6 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

6 Oct 2026, 06:31 UTC44 views19 reactionsread 7 October 2026
Photo

Спасибо за теплые слова❤️

❤8🥰6🔥5

5 Oct 2026, 07:05 UTC50 viewsread 7 October 2026
Photo

«Мужская лазерная эпиляция» 1 процедура была проведена 4 сентября. У мужчин жёсткий чёрный волос, результат виден уже после первой процедуры. Важно понимать: после первой процедуры уходит примерно 10–30% волос, потому что только часть из них находится в активной фазе роста. Чтобы убрать остальные, нужен курс — обычно это 6–10 процедур с интервалами.

5 Oct 2026, 06:53 UTC49 viewsread 7 October 2026
Photo

2.08; 3.09; 4.10 Вчера была 3 процедура. За 2 процедуры подмышки и ноги ушли в ноль. Увеличиваем интервал между процедурами на 1,5 месяца.

5 Oct 2026, 06:41 UTC47 views3 reactionsread 7 October 2026
Photo

За одну процедуру выпало половина волос. Процедура лазерной эпиляции была 4 сентября. Девочка за месяц брилась всего два раза. Чем меньше мы травмируем кожу станком, тем эффект всегда лучше. Это связано с тем, что лезвие может быть тупым — и тогда вы не сбриваете волосы, а срезаете их. Кроме того, неправильное бритьё приводит к некачественному результату.

🤩3

4 Oct 2026, 10:31 UTC51 viewsread 7 October 2026
Photo

«Мужская лазерная эпиляция»

2 Oct 2026, 15:37 UTC66 viewsread 7 October 2026
Photo

Вчера и сегодня отрабатывала на моделях новое обучение, которое недавно приобрела — «Метод АНТИПУХ». Работала через постепенное накопление тепла в ткани. В стержне волоса есть белковая структура - кератин, а также меланин, который поглощает световую энергию лазера. Когда лазер попадает на волос, меланин начинает погращать энергию и превращать ее в тепло. Дальше это тепло передается по волосу в грубину фаликула-к ст…

30 Sept 2026, 13:56 UTC76 viewsread 7 October 2026
Video

Хочется поделиться, 4 процедуры лазерной эпиляции подмышек, и мы забываем о бритве навсегда!💇‍♀️✨ 🌟 Почему это круто? • Больше никакой ежедневной щетины! 🚫 • Гладкая кожа без раздражения и вросших волос. 💆‍♀️ • Забудьте о тёмных точках и неприятном запахе после бритья. 🚫 (количество процедур лазерной эпиляции для всех индивидуально и не может быть одинаковым для всех).

Showing the 7 most recent of 7 posts we hold for @LaserLudmilaButusovaSPB. 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 17 October 2026 — this entry's latest reading, not the date you are reading this.

“Лазерная эпиляция🤍SPB” (@LaserLudmilaButusovaSPB), 176 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/LaserLudmilaButusovaSPB.

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.