#ау #au #анонс #deepinside [---------Deep Inside.---------] >ау, в котором: Хан Джисон, HanKs — весьма популярный рок-исполнитель с абсолютно невыносимым характером. десятки продюсеров сбегали от него в рекордно короткие сроки. сможет ли кто-то усмирить его и вытащить из омута зависимостей, популярности и тщеславия? Ли Минхо — талантливый продюсер с большим терпением. легко налаживает работу в коллективе и никог…

Channel
cover me…
@cover_me08
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
175subscribers
-1 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 | -1003480266738 |
|---|---|
| Type | Channel |
| Username | @cover_me08 |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 9 August 2026 |
| On Telegram | t.me/cover_me08 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 01:42 | 175 | -1 |
| 8 Aug 2026, 13:47 | 176 | no change |
| 8 Aug 2026, 02:48 | 176 | first reading |
Engagement
13 posts held, back to 12 May 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 23.1%
- avg views ÷ 175 subscribers
- Avg views / post
- 40.5
- 10 posts measured
- Reaction rate
- 5.00%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 13 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 1 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 13 (12 May 2026 – 8 August 2026) |
| Views total | 405 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 13:47 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
60 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 31.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5296628655261254414 | 19 | 31.7% | |
| custom 5296696502859633451 | 19 | 31.7% | |
| custom 5296600424441221089 | 11 | 18.3% | |
| custom 5352613210367230163 | 9 | 15.0% | |
| custom 5296579349036697602 | 2 | 3.33% |
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 4 of the 13 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 60reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 12 May 2026 to 8 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
🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩 — Джисон, пойми. Я не по парням, это невзаимно. — Минхо.. Но позже оказывается что.. 🫓Джисон — перешёл в класс к своему другу, но по ошибке влюбился в самого крутого парня школы. 🫓Минхо — тот самый парень. 🥪Или же ау, в которой Джисон переходит в класс к своему другу, где, по иронии судьбы, влюбляется в самого популярного ученика. Однако чувства оказываются невзаимными, и Хан заболевает. Но что это…
💔𝓅𝒶𝓉𝒽𝑜𝓁𝑜𝑔𝒾𝒸𝒶𝓁 𝒹𝑒𝓅𝑒𝓃𝒹𝑒𝓃𝒸𝑒💔 Феликс- влюбленный по уши подросток,мечтающий о счастливой жизни и любимом человеке. Хенджин- известный рокер,который не может выделить время не то,что на отношения,а даже на простое свидание у него не хватает времени. В процессе Прочитать можно тут!! #pathological_dependence
custom 53526132103672301631
Комикс который я читаю 📖Minsung au Я выбрал поглощать. Вместо того чтобы быть поглощённым. ➿➿➿➿➿➿➿➿➿➿➿➿ [🤍] — В одном мире может пройти одна секунда, а в другом несколько лет. Ты не успеешь моргнуть как начнется следующая сцена. Ты просто кукла которой контролируют весь комикс. Хан был просто обыкновенным фанатом который пошел на фан встречу к автору его любимого комикса. 🤩 ➿➿➿➿➿➿➿➿➿➿➿➿ *Фух.. ну и присниться же та…
https://t.me/ff_ti_and_stray_kidss/9606?single
#Minsung #кошачьерасследование #хэ 🩵🩵🩵🩵🩵🩵🩵 🩵🩵🩵🩵🩵🩵🩵🩵🩵🩵🩵🩵 🚓Minsung ау🚓 🔫 история о том, как 3 друга расследовали преступление, пока одного из них не , а затем он узнал о чувствах одного из друзей. Примечание: в работе будут жестокие сцены такие, как сцены пыток. Все такие сцены будут скрыты под спойлером, поэтому слабонервным не читать. Работа будет написана совместно с автором: @angel_sketchs / @catastro…
#ау #au #анонс #deepinside [---------Deep Inside.---------] >ау, в котором: Хан Джисон, HanKs — весьма популярный рок-исполнитель с абсолютно невыносимым характером. десятки продюсеров сбегали от него в рекордно короткие сроки. сможет ли кто-то усмирить его и вытащить из омута зависимостей, популярности и тщеславия? Ли Минхо — талантливый продюсер с большим терпением. легко налаживает работу в коллективе и никог…
🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩 — Джисон, пойми. Я не по парням, это невзаимно. — Минхо.. Но позже оказывается что.. 🫓Джисон — перешёл в класс к своему другу, но по ошибке влюбился в самого крутого парня школы. 🫓Минхо — тот самый парень. 🥪Или же ау, в которой Джисон переходит в класс к своему другу, где, по иронии судьбы, влюбляется в самого популярного ученика. Однако чувства оказываются невзаимными, и Хан заболевает. Но что это…
💔𝓅𝒶𝓉𝒽𝑜𝓁𝑜𝑔𝒾𝒸𝒶𝓁 𝒹𝑒𝓅𝑒𝓃𝒹𝑒𝓃𝒸𝑒💔 Феликс- влюбленный по уши подросток,мечтающий о счастливой жизни и любимом человеке. Хенджин- известный рокер,который не может выделить время не то,что на отношения,а даже на простое свидание у него не хватает времени. В процессе Прочитать можно тут!! #pathological_dependence
вот это встреча . . . || minsung mini зарисовка, в которой Минхо решил заглянуть в небольшое, не вызывающее доверия котокафе на углу замызганного перекрестка, и, благодаря великому совпадению, бариста, подозрительно трясущимися руками протягивающий ему банановый раф, оказался слишком уж похожим на его будущего бывшего парня. — Если ты думаешь, что можешь спрятать свои щеки за кофемашиной, то ты явно очень глупый. —…
Лучики, если вы не читали эту работу, прочитайте! Обещаю вам ВЕСЬ спектр эмоций!!! Автор - просто невероятная умничка🥹 Ну и конечно же моя любимая Хлебушка не прошла мимо этой работы и нарисовала чудесных мальчишек🥰
custom 52966286552612544147custom 52966004244412210894
Молодой художник сидел в своей мастерской и долго думал: у него уже всё было настроено, он был готов начать рисовать после долгого перерыва. Он нашёл его — нашел свою музу. Совершенно случайно. Просто гуляя по улицам ночного Сеула. Но давайте по порядку. Уже больше года Хёнджин не мог рисовать. Однажды ночью ему приснился человек, и как ни пытался Хёнджин, он не мог вспомнить, была ли это девушка, или всё же парень.…
custom 529669650285963345119custom 53526132103672301635custom 52966004244412210894custom 52965793490366976021custom 52966286552612544141
Showing the 12 most recent of 13 posts we hold for @cover_me08. 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 — 352,305 of 1,350,102entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 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.
Names
Channels on the register whose handles appear in this channel's posts.
@dina_here_au · 3472 posts🪻𝓁ℴ𝓈𝓉 𝓃ℴ𝓉ℯ𝓈🪻
@zabitie_isorii · 6432 postsАнгельские крылья
@angel_sketchs · 2731 postстроки с привкусом кешью
@cashewskkc · 751 postКатастрофический кризис
@catastrophe_crisis · 4821 post𐌘ф ᴛ/и ᥙ 𝑠𝓽𝓻𝓪𝔂 𝑘𝓲𝓭𝓼💚🍀
@ff_ti_and_stray_kidss · 1,3391 postᥴ𐔖᥈ⲏᥱɥⲏᥲя ⳝᥱ᥈ⲕᥲ
@sunny_squirrel1 · 1741 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@cover_me08 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 9 August 2026 – 9 August 2026
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“cover me…” (@cover_me08), 175 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/cover_me08.
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.