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Channel

晓蓉 ㊙️蜜空间

@K2004888

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

266subscribers

+147 since we began measuring on 2 September 2026

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

Register entry

Telegram ID-1004301717486
TypeChannel
Username@K2004888
CreatedBetween 1 June 2026 and 22 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live11 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/K2004888

Growth

119266192.52 September 2026 — 119 subscribers2 September 2026 — 119 subscribers4 September 2026 — 158 subscribers11 September 2026 — 266 subscribers2 September 202611 September 2026
4 measurements spanning 9 days, net +147. 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 97–288 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 23:58266+108
4 Sept 2026, 03:15158+39
2 Sept 2026, 20:15119no change
2 Sept 2026, 20:00119first reading

Engagement

9 posts held, back to 22 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
209.3%
avg views ÷ 266 subscribers
Avg views / post
557
6 posts measured
Reaction rate
0.228%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 2 of 6 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 30 August 2026
Posts held9 (22 August 202630 August 2026)
Views total3,341
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:15 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

3 reactions across 1 post, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
266.7%
👍133.3%

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 2 of the 9 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 22 August 2026 to 30 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

29 Aug 2026, 08:41 UTC508 viewsread 2 September 2026

官渡区 巫家坝🈳 有教室 可上🚪 人照一致,🉑️包时 🉑️✌️ 服务态度好🥰

27 Aug 2026, 15:07 UTC488 views0 reactionsread 2 September 2026
Forwarded from @YnkmsjjyzzzzPhoto

云南昆明司机加油站新人榜 🙋🏻‍♀️ 晓蓉 #km1072 📊 车评: https://t.me/Kmainu95/3896 ☎️ 联系方式: @K200739 🏷 分类标签: #昆明 #官渡 #7P #14PP #嫩妹 #新人 #大长腿 #陪浴 #水中箫 #无套口 #丝袜 #制服 #69 ✳️ https://t.me/Kmainu95111

26 Aug 2026, 15:25 UTC829 views3 reactionsread 2 September 2026

【出击群组】:https://t.me/fybyc 【时间】:2026-08-26 【老师】:晓蓉 【评价人】:小青菜 人照评分:9 颜值评分:8 身材评分:9 服务评分:8 情绪价值:8 环境评分:10 综合评分:8.67 过程描述:回家临时看到有新老师,刚好到月底了,想放松一下,就看了下照片不像是假照片,后面问了是在恒隆拍的。见到本人和黑色包臀裙那张比较像,皮肤很白,尤其腿太长了,真的很喜欢,反正人照差不多9分像,本人脸瘦一点,在700这个价位我觉得在昆明已经非常不错了,胸的话有a+到b,毕竟老师本来就瘦,168身高95斤左右,身上无赘肉,整体身材我觉得挺好的,送老师回去路上,那个腿我真的是停一个红绿灯摸一次。 服务的话,老师态度很好,本来我是她的首课,问了下能不能亲,她笑笑说亲亲嘴唇算了,后面就不强人所难,就不亲了,想亲的兄弟可以问问,老师性格很ok的。从穿衣打扮来看 就知道老师是个很爱干净的人,脱掉超短裙看到内裤真的

2👍1

Showing the 9 most recent of 9 posts we hold for @K2004888. 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

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.

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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“晓蓉 ㊙️蜜空间” (@K2004888), 266 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/K2004888.

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.