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Telegram profile photo for 妞妞后花🌸园

Channel

妞妞后花🌸园

@nngcnbh08

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

222subscribers

+14 since we began measuring on 13 August 2026

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

Register entry

Telegram ID-1004392750398
TypeChannel
Username@nngcnbh08
Created5 August 2026measured — dated from the channel’s first post
First recorded13 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/nngcnbh08

Growth

20822221513 Aug 2026, 21:35 — 208 subscribers13 Aug 2026, 21:46 — 208 subscribers14 Aug 2026, 18:22 — 222 subscribers13 Aug 2026, 21:3514 Aug 2026, 18:22
3 measurements taken within a single day, net +14. 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 206–224 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 18:22222+14
13 Aug 2026, 21:46208no change
13 Aug 2026, 21:35208first reading

Engagement

10 posts held, back to 5 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
272.9%
avg views ÷ 222 subscribers
Avg views / post
606
5 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 5 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 13 August 2026
Posts held10 (5 August 202613 August 2026)
Views total3,029
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 21:46 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
11s
Average length
11s

Measured directly from 1 video 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.

Recent posts

13 Aug 2026, 10:52 UTC99 viewsread 13 August 2026

【评价时间】:8.11 【老师名字】:妞妞 【验证留名】:大调查小学 【颜值】:8 【身材】:7 【服务】:三件套 【态度】:8 【是否代聊】:是 【机车行为】:无 【过程描述】:肤色/户型:黄皮 馒头户型 优点:优点:嫩,态度好 缺点:感觉都还好就是套子不太行后面都干了 抢到工后也是火速出击,嫩妹是我的最爱,约了3点半罚站了差不多半个小时,这点觉得有点像代理,遥控上楼,课室还是比较安全的,进门后妹子让坐下聊天无奈我是翘班出击需速战速决,人和验证8份把本人更皮肤会更黄一些,和妹子一起洗,妹子的乳型是竹笋型的,屁股上肉肉挺多的,户型是中规中矩的鲍鱼,毛毛不多比较短,问了妹子说没剃就长这样,所以白虎也只是噱头各位看官见仁见智把,洗完擦干开始服务,舔胸完开口,妹子的口有点超出我的预期了,本以为三两下草草了事,口了足足有三五分钟,没啥齿感舌头会画圈,虽然没深喉但吸力却还算不错,口完带套开凿,传教士起手,不得不说是真的紧,不用夹就是天然的

13 Aug 2026, 10:52 UTC100 viewsread 13 August 2026

宁波学生会: 【个人评价】:#好评 【所在位置】:位置一天一换 【老师艺名】:妞妞 【联系方式】:@nngxh08 【验证留名】 : 拉货的 【验证时间】:8.12 【上课价位】:600工 【颜值身材】7 【服务内容】:嫩妹三件套 【服务态度】:态度挺好让干嘛基本都行 【优点缺点】:嫩嫩嫩嫩嫩嫩嫩嫩 听话别的一般 【推荐程度】:吃嫩的10分满分 别的7分 【体验细节】:感谢奶子 大概说一下优点 嫩 不是一般嫩能感觉出来刚做的 舌头口感很好 三点粉b太紧了装机可以绕道 我的小鸡不用夹都很舒服 虽然用的水多多套进门口还是要挤进去里面也很紧 后入也很奈斯 胸是笋状不大乳头纯粉 听话 情绪价值也行 虽然是代聊但是代聊态度挺好说下次给优惠 雷电也很多 老师一天一换地方头天约的兄弟提前让代聊确定好位置今天被坑多跑5公里 老师还起来晚按约定时间算鸽了一个半小时 实际时间更长 进房间空调坏了太热洗澡之前没让抱 摸(不过确实热

Showing the 10 most recent of 10 posts we hold for @nngcnbh08. 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 — 943,041 of 1,481,217entries 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.

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

“妞妞后花🌸园” (@nngcnbh08), 222 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/nngcnbh08.

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.