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Channel

ledentsofa • наращивание ресниц спб • площадь восстания

@ledentsofa

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

703subscribers

+41 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-1002047250049
TypeChannel
Username@ledentsofa
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live31 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/ledentsofa

Growth

6627106868 August 2026 — 662 subscribers8 August 2026 — 672 subscribers16 August 2026 — 674 subscribers24 August 2026 — 710 subscribers31 August 2026 — 703 subscribers7038 August 202631 August 2026
5 measurements spanning 23 days, net +41. 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 655–717 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 00:47703-7
24 Aug 2026, 00:35710+36
16 Aug 2026, 09:06674+2
8 Aug 2026, 18:14672+10
8 Aug 2026, 05:33662first reading

Engagement

10 posts held, back to 4 March 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
36.1%
avg views ÷ 703 subscribers
Avg views / post
254
2 posts measured
Reaction rate
5.71%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 held10 (4 March 20267 August 2026)
Views total508
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:33 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
17s
Average length
9s

Measured directly from 2 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

154 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 33.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52155959024246051805133.1%
custom 53100926690646075025133.1%
custom 54271916882148945284126.6%
custom 5301171442170224760117.14%

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 10 of the 10 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 154reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 4 March 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, 18:39 UTC205 views19 reactionsread 8 August 2026
Photo

радуюсь, что успела купить этот офигенный анатомический матрас за 10к до бешеного скачка роста цен на вб (сейчас он стоит 14к…)🤩

custom 53100926690646075028custom 54271916882148945287custom 52155959024246051804

5 Aug 2026, 18:02 UTC303 views10 reactionsread 8 August 2026
Photo

Девочки, открываю набор моделей на подобные эффекты✨ 3 часа свободного времени 1500₽ Эффект подберем индивидуально исходя из ваших пожеланий и исходных данных 🤩 пишите- @bwshawty 💕

custom 54271916882148945284custom 52155959024246051803custom 53100926690646075023

30 Jul 2026, 18:14 UTC433 views18 reactionsread 8 August 2026
Photo

Потихоньку обустраиваю кабинет, заказываю новые ресницы и в скором времени планирую взять несколько моделей на эффекты, а пока готовлюсь к приходу любимых постояшек 🌸 расписание на август готово-> @bwshawty 💌

custom 531009266906460750211custom 52155959024246051804custom 54271916882148945283

22 Jul 2026, 12:05 UTC675 views15 reactionsread 8 August 2026
Photo

Всем привет! Не смотря на долгое отсутствие, хочу поделиться радостной новостью- теперь у меня есть свой кабинет в центре Санкт-Петербурга🌟 📍Находится он в одной минуте от метро Площадь восстания через дорогу Поэтому буду ждать всех уже по новому адресу🫶🏻 @bwshawty 💌

custom 53100926690646075028custom 54271916882148945284custom 52155959024246051803

30 May 2026, 18:32 UTC874 views15 reactionsread 8 August 2026
Photo

записаться можно в лс @bwshawty

custom 52155959024246051807custom 53100926690646075026custom 53011714421702247602

27 Apr 2026, 16:18 UTC≈1,250 views17 reactionsread 8 August 2026
Photo

носка за последние дни 🤩 всем ресничкам 1-1.5 месяца

custom 52155959024246051807custom 53100926690646075025custom 53011714421702247604custom 54271916882148945281

23 Apr 2026, 18:00 UTC≈1,060 views15 reactionsread 8 August 2026
Photo

процесс / результат ✨

custom 54271916882148945288custom 53011714421702247605custom 53100926690646075022

19 Mar 2026, 17:33 UTC≈1,650 views6 reactionsread 8 August 2026
Photo

снятие без последующего наращивания- 500₽ точную стоимость определенного наращивания уточняйте в лс- @bwshawty 🪽

custom 54271916882148945286

7 Mar 2026, 17:44 UTC≈1,360 views22 reactionsread 8 August 2026
Video

давайте уже признаем, что этот эффект это ваш прайм >>> 💔 он супер женственный и легкий🪽 кстати, это делала моя ученица с базового курса, это всего лишь её 4ая отработка на человеке в жизни)) я чууть чуть помогала

custom 521559590242460518013custom 53100926690646075025custom 54271916882148945284

4 Mar 2026, 15:18 UTC≈1,510 views17 reactionsread 8 August 2026
Photo

эффект ламинирования ✨ идеально подойдёт абсолютно каждой, чей запрос- это натуральные и воздушные, но не «классика» 🤩 я молюсь на этот эффект 🖤

custom 521559590242460518010custom 54271916882148945284custom 53100926690646075023

Showing the 10 most recent of 10 posts we hold for @ledentsofa. 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 — 409,582 of 1,628,524entries 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.

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

“ledentsofa • наращивание ресниц спб • площадь восстания” (@ledentsofa), 703 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/ledentsofa.

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.