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Channel

Страдала и смывала

@GlowSuffer

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

112subscribers

+0 since we began measuring on 3 November 2026

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

Register entry

Telegram ID-1002185093796
TypeChannel
Username@GlowSuffer
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 November 2026
Last confirmed live10 November 2026
Measurements held2
Confirmed unchanged2 times, most recently 10 November 2026
On Telegramt.me/GlowSuffer

Growth

1123 Nov 2026, 22:22 — 112 subscribers4 Nov 2026, 00:58 — 112 subscribers3 Nov 2026, 22:224 Nov 2026, 00:58
2 measurements taken within a single day. 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 111–113 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 00:58112no change
3 Nov 2026, 22:22112first reading

Engagement

15 posts held, back to 10 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
158.5%
avg views ÷ 112 subscribers
Avg views / post
178
9 posts measured
Reaction rate
7.63%
reactions ÷ views · ER floor
Posts in window
9
of 15 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 2 November 2026
Posts held15 (10 June 2026 – 2 November 2026)
Views total1,598
Reactions total122
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 22:22 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
16s
Average length
16s

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

187 reactions across 15 posts, in 12 distinct kinds. The most used accounts for 46.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8746.5%
🔥3418.2%
👍2714.4%
😁136.95%
🌚63.21%
🗿63.21%
🦄42.14%
😎31.60%
✍21.07%
👏21.07%
😱21.07%
👎10.535%

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 15 of the 15 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 187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 10 June 2026 to 2 November 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: 3 of 9 posts held from the last 30 days (33.3%) 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).

28 Oct 2026, 18:59 UTC62 views10 reactionsread 3 November 2026

Отшелушивание - это, как по мне, самый наглядный процесс в косметике, и, конечно, мнений тут много разных и разнообразных. Скрабы травмируют. Кислоты сжигают. Энзимы - неэффективны. Так делать-то что? Для начала понять принцип каждого: 1. Механическое отшелушивание (скрабы, гоммаж, скатки). Здесь всё относительно понятно. В составе есть абразивные частицы, которые при трении помогают удалять чешуйки рогового слоя…

👍5🔥5

24 Oct 2026, 19:06 UTC72 views12 reactionsread 3 November 2026
Photo

Неожиданно для себя полюбила энзимную пудру, а именно от CHA U KAO 😁 Это, кстати, первый продукт, с которым я «переобулась» недавно. Сначала было, ну энзимка и энзимка, снова на мне ничего не работает, ладно.НО! Где-то к середине банки горбинки на носу договорились, что я русская, и мы пошли читать инструкцию. Оказалось, надо выдерживать 2 минуты. Смирилась, намазала, засекла, смыла и такая: а энзимка-то работает!…

🔥6❤3🌚3

18 Oct 2026, 18:02 UTC98 views21 reactionsread 3 November 2026
Photo

InterCHARM закончился, но без красивых баночек, как обычно, не ушла 😎 Любимая by Mustaeva, да ещё и с новинкой! Упаковка - восторг, подача вкусная, а состав богатый. Ну как тут пройти мимо? Даже, видите, вдохновилась и попыталась сделать какую-то девичью фотографию! Будем изучать, тестировать и разбирать состав!

❤14🔥4😎3

14 Oct 2026, 18:15 UTC89 views20 reactionsread 3 November 2026
Photo

Я обещала делиться больше работой, а не только разбором банок. Вот лицо принятия бесконечно вечного, когда за один день: — Спёрли два тестера. — Спросили, что намазать от морщин. — Спросили, почему минеральные фильтры не белые. — Менеджер забыла, что она менеджер. — Хозяин склада забыл подарки для акции. — Спросили, чей Крым. — А почему вы косметику продаёте, а не дарите? Косметический бизнес - это не только красив…

😁10❤4🦄4🌚2

8 Oct 2026, 19:09 UTC100 views11 reactionsread 3 November 2026
Photo

Последнее время много внимания уделяю изучению антиоксидантов. Во-первых, потому что это тема, которая мне действительно интересна. Во-вторых, я работаю с брендом, где антиоксидантная защита - одна из основ концепции. Ну и, собственно, ещё в сентябре я читала небольшой доклад на эту тему на конгрессе. Поэтому решила поделиться с вами небольшой выдержкой - без 25 слайдов, сложных схем и попытки за один пост рассказ…

👍5🔥4✍1❤1

4 Oct 2026, 18:36 UTC89 views15 reactionsread 3 November 2026

Ну что, я снова здесь 🫠 Прошло всего 3 месяца… Не буду делать вид, что это было запланировано😅 Соскучилась и поняла, что хочу снова сюда писать. А начать предлагаю с того, что вам интереснее 👇 1. Продукт, о котором я полностью переобулась 2. Врачебная этика или топ-3 диагноза, которые мне поставили на конференциях 3. Продукт, который хвалили все, а у меня камыш.. Что выбираем? 👀

❤9👍5👏1

Showing the 12 most recent of 15 posts we hold for @GlowSuffer. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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

“Страдала и смывала” (@GlowSuffer), 112 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/GlowSuffer.

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.