Тильтанул паренек 😱 ❤️ – Поддержим Данька ❤️TG10 – +10% к депозиту на Skinity
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Channel
@SkinityOfficial
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
12,500subscribers
+2,278 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002856951017 |
|---|---|
| Type | Channel |
| Username | @SkinityOfficial |
| Description | SKINITY — не очередные кейсы. 🎮 5 кейсов = 5 разных режимов. Каждый открывается по-своему. 💎 Честный дроп, постоянные акции и шанс выбить жир. 🎁 Забирай +10% по промику TG10 и залетай: https://skinity.club/ Поддержка: @Skinity_support_bot |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/SkinityOfficial |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 06:48 | 12,500 | +75 |
| 11 Aug 2026, 03:37 | 12,425 | +424 |
| 10 Aug 2026, 03:56 | 12,001 | +311 |
| 9 Aug 2026, 05:57 | 11,690 | +152 |
| 8 Aug 2026, 03:32 | 11,538 | +963 |
| 7 Aug 2026, 02:34 | 10,575 | +353 |
| 6 Aug 2026, 10:51 | 10,222 | first reading |
27 posts held, back to 18 July 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 16 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 27 (18 July 2026 – 12 August 2026) |
| Views total | 118,001 |
| Reactions total | 3,026 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 03:19 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.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 6 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.
3,026 reactions across 27 posts, in 5 distinct kinds. The most used accounts for 34.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,033 | 34.1% | |
| ❤ | 997 | 32.9% | |
| 🔥 | 948 | 31.3% | |
| 🙏 | 31 | 1.02% | |
| 👎 | 17 | 0.562% |
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 27 of the 27 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 3,026reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 18 July 2026 to 12 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @SkinityOfficial. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 27 most recent posts we hold for this entry, published 18 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Тильтанул паренек 😱 ❤️ – Поддержим Данька ❤️TG10 – +10% к депозиту на Skinity
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👌 Прошло менее двух недель с нашего старта! Делемся с вами нашей статистикой. К нам присоидинилось более 2600 игроков, спасибо каждому за выбор SKINITY, мы вас не подведем! Вы открыли более 220.000 кейсов! Мы уверены, многие из вас окупились! И, конечно, любимый режим многих игроков – апгрейды, их вы сыгрыли более 60.000 раз 😳 Дальше точно больше! Обещаем!💙 👉Заработай с нами тут! 👉Не забывай про розыгрыш на 5 НО…
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🆗 Ловим ваши отзывы! Что сказать, только лучшие игроки на лучшем сайте! Спасибо каждому, за выбор SKINITY💙 👉Ждем именно твой отзыв тут @Skinity_support_bot 👉Не забывай про розыгрыш на 5 НОЖЕЙ! ❤️TG10 – +10% к депозиту на Skinity
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🔫 Идем обучать VACnet: Valve и новый Патруль в CS2! Система пока в закрытом тесте. Инвайт может прилететь прямо в главном меню (говорят, нужен хороший Траст-фактор — у одного из первых получивших было 16к рейтинга). Два главных отличия от CS:GO: ⏺Мы теперь не баним читеров напрямую, а работаем «учителями» для нейросети VACnet. ⏺Valve строго запретила публиковать фрагменты демок, чтобы создатели софта не поняли, как…
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🤨 Зарабатывай на просмотрах с SKINITY Снимаешь TikTok, Shorts или Reels? Теперь мы платим вам за просмотры! 2 способа заработать с нами: ⏺ Прямая интеграция: Показываешь SKINITY в ролике: открытие кейсов, апгрейды, мемы, скетчи и любой формат, который может залететь. $1 за каждые 1 000 просмотров $1 000 за каждый 1 000 000 просмотров ⏺ Добавь SKINITY куда угодно: Пост любого контента с анимированным баннером проек…
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👨💻Читаем ваши комментарии! Спасибо за ваши отзывы! Так мы можем стать лучше для вас🍸 Ценим каждого игрока за выбор SKINITY! Впереди больше ивентов, конкурсов, событий! Будем удивлять вас по максимуму! 🎯Оставить свой отзыв и получить за это бонус можно тут @Skinity_support_bot ❤️TG10 – +10% к депозиту на Skinity
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😎 Мы только начали, а уже... На Skinity открыли более 150 тысяч кейсов, вывели более 600 тысяч рублей, и к нам присоединились более 1000 игроков! 💪 И конечно, наши рекордсмены: ко**ил в полете Открыл около 22000 кейсов Kompotik_Ilya Сыграл более 3500 апгрейдов Каждый из рекордсменов получил свой бонус💙 Впереди больше! Спасибо, что доверяете нам, ваша команда SKINITY! ❤️TG10 – +10% к депозиту на Skinity
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🙄 Кажется, ОНИ уже среди нас... Игрок увидел ИИ бота прямо в матчмейкинге. По его словам, бот понимал команды и выполнял их: следовал за союзником, стрелял и двигался по указанию. Правда это или удачный пранк — пока неизвестно 🤔 TG10 – +10% к депу на Skinity💙
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😄 У Valve с Терминалами совсем уже крыша поехала Система, которая должна была давать нормальные офферы вместо кейсов, в последние месяцы предлагает такие цены, что даже в ноль выйти почти нереально. Anomaly открыл несколько сотен Терминалов и выбил перчатки — Valve выставила их почти в два раза дороже рынка. Пришлось отказываться. Офферы почему-то становятся только хуже, хотя их никто не берёт. Некоторые уже считают…
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😳 Выбили, наверное, лучший айтем в CS2 Вчера неизвестный игрок выбил Бабочку Gamma Doppler Emerald с флотом 0.000227 — сейчас это чистый топ-1. Мало того что сама Изумрудная бабочка уже очень редкая, так ещё и с таким флотом. Правда, из-за крафтов сейчас за неё вряд ли дадут больше чем x2–x3 от обычной цены. Но сам дроп всё равно просто огонь.
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🔥 Первый день на SKINITY завершен! За этот день вы уже успели выбить первые ножи, поймать жирные иксы и поставить первые рекорды. 🔪 Первый нож - YARIK GOOD. 📈 Самый большой икс - X26 от депозита , точка. 🎯 Лучший апгрейд - 10,12% от wmegad. Спасибо каждому, кто был с нами в первый день! Это только начало - впереди еще больше крупных дропов, обновлений и крутых событий. 🚀 🎁 Не забывайте про +10% к пополнению по п…
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🚀 SKINITY ОФИЦИАЛЬНО ОТКРЫТ! Этот день наконец настал. Мы создали SKINITY с одной целью — сделать открытие кейсов интереснее. Помимо большого выбора классических кейсов, вас ждут 5 особых кейсов с уникальными игровыми механиками, где каждое открытие ощущается по-новому. Что вас ждет: 🎮 Классические и уникальные кейсы. 💎 Честный дроп. 🎁 Постоянные акции и розыгрыши. ⚡️ Регулярные обновления и новый контент. В чес…
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Showing the 12 most recent of 27 posts we hold for @SkinityOfficial. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 854,806 of 1,160,990entries 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Skinity - Skin InsideCS2” (@SkinityOfficial), 12,500 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/SkinityOfficial.
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.