Telegram RegisterThe public register of Telegram
Telegram profile photo for MONE SKIN

Channel

MONE SKIN

@mone_skin

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

256subscribers

-10 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1004347419076
TypeChannel
Username@mone_skin
CreatedBetween 1 June 2026 and 22 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/mone_skin

Growth

2562662617 August 2026 — 266 subscribers7 August 2026 — 265 subscribers14 August 2026 — 256 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net -10. 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 255–268 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 12:18256-9
7 Aug 2026, 14:13265-1
7 Aug 2026, 07:02266first reading

Engagement

14 posts held, back to 22 July 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
65.5%
avg views ÷ 256 subscribers
Avg views / post
168
13 posts measured
Reaction rate
8.79%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 12 of 13 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 August 2026
Posts held14 (22 July 20266 August 2026)
Views total2,179
Reactions total185
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 07:02 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

185 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 56.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10556.8%
👏2915.7%
🔥2915.7%
🥰2010.8%
👍10.541%
🤩10.541%

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 12 of the 14 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 185reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 22 July 2026 to 6 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

6 Aug 2026, 07:00 UTC201 views8 reactionsread 7 August 2026
Video

Есть привычки, которые делают день лучше с самого утра. И одна из них — уделить несколько минут себе и своей коже🩵 Тоник-мист HYDRATING TONING MIST от @mone_skin с парфюмерным ароматом окутывает кожу невесомой вуалью свежести, даря ощущение прохлады и комфорта даже в самый жаркий летний день. ☀️ 💧 Hyaluronic Acid 8D помогает восстановить pH кожи, интенсивно насыщает её влагой и подготавливает к нанесению последующи

🥰32👏2🔥1

4 Aug 2026, 17:05 UTC311 views7 reactionsread 7 August 2026
Photo

Можно ли испортить кожу гидрофильным маслом? 🤔 На самом деле — нет, если использовать качественное гидрофильное масло по назначению. Наоборот, именно оно помогает бережно удалить то, с чем обычная пенка справляется не всегда: • стойкий макияж; • SPF; • избыток себума и загрязнения. При контакте с водой гидрофильное масло превращается в нежное молочко и легко смывается, не оставляя ощущения жирности. BOTANICAL CLE

3👍1👏1🤩1🥰1

3 Aug 2026, 17:52 UTC45 views3 reactionsread 7 August 2026
Video

Уход за лицом — это не только эстетика, но и биология. ✨ Во время привычных бьюти-ритуалов — очищения, нанесения сыворотки или крема — приятные тактильные ощущения помогают активировать парасимпатическую нервную систему. 📉Это способствует снижению уровня кортизола (гормона стресса), а также связано с выработкой дофамина, серотонина и окситоцина — гормонов, отвечающих за удовольствие, спокойствие и хорошее настроени

1👏1🥰1

1 Aug 2026, 19:01 UTC75 viewsread 7 August 2026
Video

🎉 Поздравляем победителя конкурса! 🎉 Анастасия Аркатова @Arkatova_Anastasiya 📢 Мы опубликовали результаты во всех наших каналах. Обязательно проверьте личные сообщения! 💙 Благодарим всех за участие и поддержку. ✨ В августе вас ждет новый розыгрыш с косметикой MONÉ Professional и MONÉ Skin. Оставайтесь с нами — впереди много приятных сюрпризов!

31 Jul 2026, 13:15 UTC76 views8 reactionsread 7 August 2026
Video

Коротко о пятнице😁⬆️ Друзья, как у вас прошел июль?🩵 Спасибо, что были с нами и поддержали запуск нового направления Mone Skin. Нам очень приятно получать ваши отзывы и чудесные видео🫂 Желаем вам самых классных выходных, яркого начала августа! А о том, чтобы ваша кожа сияла и подчеркивала вашу естественную красоту, позаботится Mone Skin ✨ #moneskin #moneskinlab 🩵 @mone_skin ⬇️🛍 https://moneskin.taplink.ws 🎬 ❤️

5👏1🔥1🥰1

30 Jul 2026, 17:50 UTC75 views11 reactionsread 7 August 2026
Video

Вечерняя бьюти-рутина MONÉ Skin 🌙 Вечером кожа нуждается в последовательном уходе: очищении, восполнении влаги и поддержке защитного барьера. 💛 1. BOTANICAL CLEANSING OIL Стойкий макияж, солнцезащитные средства и избыток себума имеют жирорастворимую основу, поэтому гидрофильное масло💧 эффективно растворяет их и облегчает очищение кожи. Масла макадамии и миндаля помогают сохранить ощущение комфорта, а витамин C осве

8🥰2🔥1

29 Jul 2026, 08:40 UTC71 views12 reactionsread 7 August 2026

🎁 Напоминаем про розыгрыш MONÉ Skin! Дарим летний уход за кожей: 6 средств для увлажнения и восстановления ✨⬆️⬆️

🔥7👏3🥰2

28 Jul 2026, 18:30 UTC78 views15 reactionsread 7 August 2026
Video

💧 Каждый день кожа сталкивается с тем, что незаметно лишает её влаги: кондиционеры, экраны, сухой воздух, стресс и городской ритм. 🩵 Именно поэтому появилась линия MONÉ Skin — чтобы поддерживать оптимальный уровень увлажнения и помогать коже оставаться мягкой, гладкой и комфортной. 🧪 В основе формул — комплекс из 8 форм гиалуроновой кислоты, который обеспечивает многоуровневое увлажнение, визуально делает кожу боле

10👏3🔥2

27 Jul 2026, 18:37 UTC64 views13 reactionsread 7 August 2026
Photo

Тающий крем-сорбет для увлажнения без ощущения тяжести 🩵 Когда коже хочется лёгкости, выбирайте уход с невесомой текстурой. FRESH SORBET CREAM мгновенно тает на коже, интенсивно увлажняет и поддерживает оптимальный гидробаланс в течение дня. 💧 Формула с 8 формами гиалуроновой кислоты, морским коллагеном и церамидами помогает сохранить упругость кожи, укрепляет защитный барьер и дарит ощущение свежести. Кожа станов

8👏3🥰2

26 Jul 2026, 18:35 UTC477 views13 reactionsread 7 August 2026
Video

Dolphin Skin 🐬 — один из самых популярных бьюти-трендов, где главный акцент сделан на здоровом сиянии кожи. Секрет этого эффекта — не плотный хайлайтер, а качественное увлажнение. Тоник-мист HYDRATING TONING MIST помогает подготовить кожу, HYALURONIC OCEAN SERUM интенсивно насыщает её влагой, а FRESH SORBET CREAM поддерживает комфорт и гидробаланс в течение дня. Когда кожа получает достаточно увлажнения, появляется

9🔥2🥰2

25 Jul 2026, 18:25 UTC100 views13 reactionsread 7 August 2026
Photo

Макияж, который выглядит дорого ✨ Важные этапы увлажнения⬇️ 💧Тоник-мист HYDRATING TONING MIST с Hyaluronic Acid 8D и Green Caviar восстанавливает pH кожи, обеспечивает многоуровневое увлажнение, поддерживает защитный барьер и подготавливает кожу к следующему этапу ухода. 🩵Сыворотка HYALURONIC OCEAN SERUM с гиалуроновой кислотой 8D и морским коллагеном интенсивно насыщает кожу влагой, поддерживает упругость и эласт

🔥8👏3🥰2

Showing the 12 most recent of 14 posts we hold for @mone_skin. 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 — 163,403 of 1,480,944entries 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.

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 2 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.

Named by

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

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

“MONE SKIN” (@mone_skin), 256 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/mone_skin.

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.