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Channel

娜🉑露的小窝

@yunen123456

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

178subscribers

+3 since we began measuring on 15 August 2026

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

Register entry

Telegram ID-1003314006561
TypeChannel
Username@yunen123456
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 August 2026
Last confirmed live16 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/yunen123456

Growth

175178176.515 Aug 2026, 10:02 — 175 subscribers16 Aug 2026, 08:54 — 178 subscribers15 Aug 2026, 10:0216 Aug 2026, 08:54
2 measurements taken within a single day, net +3. 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 175–178 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 08:54178+3
15 Aug 2026, 10:02175first reading

Engagement

20 posts held, back to 1 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
200.3%
avg views ÷ 178 subscribers
Avg views / post
357
18 posts measured
Reaction rate
0.234%
reactions ÷ views · ER floor
Posts in window
19
of 20 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 8 of 18 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 15 August 2026
Posts held20 (1 July 202615 August 2026)
Views total6,417
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 10:02 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.

What this channel posts

Video runtime
38s
Average length
10s

Measured directly from 4 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.

Reaction mix

7 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7100.0%

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 8 of the 20 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 1 July 2026 to 15 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

15 Aug 2026, 01:20 UTC90 viewsread 15 August 2026
Video

头课 可🈷️🉑️上门

Signed 娜🉑露🏡青秀区🏡

14 Aug 2026, 18:56 UTC110 viewsread 15 August 2026
Forwarded from @NnXx_98

#南宁修仙手稿 【置顶取模版】 道友留名: 双修日期: 8.15 道侣花名:#娜🉑露 双修洞府:#南宁 #青秀区 双修花费:pp 双修体验:第一眼见到露宝确认是本人喜欢的类型,马上交了水费开始洗澡。在浴室摸摸蹭蹭加上水中萧,口的非常舒服。到床上开始做服务,之后就是女上位,刚进去的时候就觉得很润,换成传教士之后冲起来也非常舒服很爽。一发结束之后抱着聊聊天,露宝整个人软绵绵的,休息一会,两个人摸一摸之后又来感觉了。个人第二发比较难出,露宝很配合换姿势,配合我做了挺久的真的很棒,反正我是爽到了。露宝嘴唇胸屁股真的很软,亲亲抱抱撞起来真的舒服。 综】#优缺点: 不敷衍 合】#人照: 9 #芳龄:24 锐】#胸围: c #身高: 162左右 评】#颜值:9 #体重:50 品阶评级:#顶【夯-极品 顶-上品 得-中品 雷-下品】 道侣联系: @yunen7890

Signed 娜🉑露🏡青秀区🏡

13 Aug 2026, 16:06 UTC207 views1 reactionsread 15 August 2026
Forwarded from @NnXx_98

#南宁修仙手稿 【置顶取模版】 道友留名: 不留名 双修日期: 8.13 道侣花名:#娜🉑露 双修洞府:#南宁 #青秀区 双修花费:p 双修体验:在路上就已经约好了时间 刚好回南宁直接到科室 很好找 老师人很健谈 是个爱笑的宝宝 服务细致 不敷衍 不冷场 确实是个b紧水多的老师 骚话不停 老师眼睛好好看 值得返食 综】#优缺点: 刚好 合】#人照: 9. #芳龄: 24 锐】#胸围: 差不多c #身高: 160 评】#颜值: 10 #体重: 50 品阶评级:#顶 【夯-极品 顶-上品 得-中品 雷-下品】 道侣联系: @yunen7890 ☆投稿:@Jayce87890_bot ⭐️️已核对约课截图

1

Signed 娜🉑露🏡青秀区🏡

12 Aug 2026, 10:07 UTC277 viewsread 15 August 2026
Forwarded from @NnXx_98

#南宁修仙手稿 【置顶取模版】 道友留名:匿名 双修日期:8.12 道侣花名:#娜可露 双修洞府:#南宁 #青秀区 双修花费:p 双修体验: 闲来无事 就想上来看看有没有心动老师 翻了一下 看见露露在线 又刚好是我喜欢的那一款 联系约好时间 怀着期待的心情来到楼下 遥控上楼 一进门 老师身着黑色长衣裙 长发微卷 妆容精致 不是那种浓妆 看着很舒服 老师的笑容也很甜美 很热情的邀请我坐下,还拿了水给我问喝 聊了两句 果断交了水费 老师很细心 洗澡很细心 缓缓的蹲下身 一边口一边望向我 那眼神 要拉出丝了 妩媚又性感 来到床上躺下 老师直接先来了一个法式舌吻 小嘴巴好软好甜 亲不够 口技也是毫无齿感 胸型好看 一手刚好 边亲边玩弄着老师的胸 老师也一直说受不了 那感觉太舒服了 赶紧带🌂开干 妹妹水多又紧致 超级配合 女友感十足 换了好几个姿势 最后在老师的呻吟中 后入出水 综】#优缺点: 都很好 合】

Signed 娜🉑露🏡青秀区🏡

12 Aug 2026, 02:13 UTC299 views1 reactionsread 15 August 2026
Video

开课啦 宝贝们💦

1

Signed 娜🉑露🏡青秀区🏡

11 Aug 2026, 02:58 UTC376 views1 reactionsread 15 August 2026
Photo

开课啦

1

Signed 娜🉑露🏡青秀区🏡

10 Aug 2026, 13:19 UTC419 viewsread 15 August 2026

南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】:丁俊晖 丁丁 【老师花名】:娜可露 【联系老师】:👉点击直达老师👈 【人照得分】:9 【颜值得分】:9 【身材得分】:9 【服务得分】:10 【态度得分】:10 【环境得分】:10 【验证时间】:2026-08-10 19:28:36 【过程描述】:期待许久 再一次约上了老师 交学费 迫不及待地与老师温存一翻 这一次老师穿着更加性感 若隐若现的蕾丝给人一种神秘感 身上的香水味别有一番韵味 很特别 闻到就特别想靠近 特想进入了解老师身体 进入主题 老师特主动 服务时还时不时地用眼神来挑逗我的欲望 根本经不住折腾 老师急促呻吟声和身体的抖动 反应很真实 不是伪装 老师高潮来了 又让我再一次体验身体得到的极致 完美出击 🤪 【综合评价】:优 【预约截图】:已上传 【报告提交】:@xiuchennbot

Signed 娜🉑露🏡青秀区🏡

10 Aug 2026, 11:37 UTC320 views1 reactionsread 15 August 2026
Forwarded from @nanning004

南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】:Eric 【老师花名】:娜可露 【联系老师】:👉点击直达老师👈 【人照得分】:10 【颜值得分】:8 【身材得分】:8 【服务得分】:10 【态度得分】:10 【环境得分】:8 【验证时间】:2026-08-09 18:18:17 【过程描述】:昨晚提前约了今天,回归老师必需要体验,东盟商务区公寓,电梯出来很快就到了,老师提前开好门等着,进门热情迎接,老师目测165左右,的颜值和身材都符合我审美,浅聊一会便一起进入浴室,老师态度真好,水中萧口活是真的棒,洗完后老师帮忙擦干,然后上床调情,又得说一遍老师的口活是真的没的说,超级舒服,感觉整根都被吞进去了,口了好久,感觉太爽了,课表上的服务都有。老师服务完轮到我服务,这酥胸,这洁白的肤质,蜜穴被舔到湿润,老师的手一直在给我小弟摩擦着,不能说欲火焚身也是性起到位了。老师帮忙带上套,开始传教士,进去的

1

Signed 娜🉑露🏡青秀区🏡

10 Aug 2026, 10:36 UTC307 views1 reactionsread 15 August 2026
Photo

Photo, posted without a caption

1

Signed 娜🉑露🏡青秀区🏡

10 Aug 2026, 06:02 UTC350 views1 reactionsread 15 August 2026
Video

开课啦

1

Signed 娜🉑露🏡青秀区🏡

Showing the 12 most recent of 20 posts we hold for @yunen123456. 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 — 935,467 of 1,549,376entries 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

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

“娜🉑露的小窝” (@yunen123456), 178 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/yunen123456.

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.