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Channel

噜妹的朋友圈

@nmnnv2

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

330subscribers

+244 since we began measuring on 10 October 2026

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

Register entry

Telegram ID-1004378428815
TypeChannel
Username@nmnnv2
Created8 October 2026 — measured — dated from the channel’s first post
First recorded10 October 2026
Last confirmed live4 November 2026
Measurements held6
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/nmnnv2

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 28 October 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

8633020810 October 2026 — 86 subscribers10 October 2026 — 86 subscribers13 October 2026 — 133 subscribers21 October 2026 — 182 subscribers28 October 2026 — 199 subscribers4 November 2026 — 330 subscribers10 October 20264 November 2026
6 measurements spanning 25 days, net +244. 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 49–367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 10:09330+131
28 Oct 2026, 01:11199+17
21 Oct 2026, 02:38182+49
13 Oct 2026, 21:50133+47
10 Oct 2026, 18:2286no change
10 Oct 2026, 17:4786first reading

Engagement

19 posts held, back to 8 October 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
43.8%
avg views ÷ 330 subscribers
Avg views / post
145
3 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 3 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 10 October 2026
Posts held19 (8 October 2026 – 10 October 2026)
Views total434
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Oct 2026, 18:22 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
16s
Average length
5s

Measured directly from 3 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 3 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Oct 2026, 04:41 UTC140 views0 reactionsread 10 October 2026
Forwarded from @nenmeibao2

杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:#超级好评 【优势】嫩 逼紧 服务态度好 【不足】 【出击时间】:10号 【老师花名】:噜妹 【出击留名】:香菜 【开课位置】:余杭 【修车水费】:1000 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:9 和视频差不多 【身材评价】:165皮肤较白 【胸部评价】:B 白嫩 【鲍鱼评价】:馒头逼 几根毛 很紧很润 【服务评价】:嫩妹三件套 【态度评价】:不催 时间宽松 【环境评价】:课室干净,有漱口水 【过程描述】: #流程细节:妹妹口活很好 看着乔小一只 ,配合度很高 #总结评价:见到真人,小小的一只,说话很温柔,和视频一样,身材比例挺不错,身上很松软,接吻的时候,配合度很高,属于大蟒蛇级别!口交时间比较长,不催着戴套操,吹的舒服 下面毛很稀…

10 Oct 2026, 03:55 UTC146 viewsread 10 October 2026

#杭州肯德基 https://t.me/kdjqjt #超级好评 90-100 #好评 80-89 #中好评 70-79 #中评 60-69 #差评 0-59 【出击时间】:10.9 【出击老师】:噜妹 【联系方式】:@lmllv7 【出击留名】:阴天快乐 【开课位置】:余杭 【修车水费】:工兵6p 【人照评分满分10】:9(人照相似度/妆容) 【颜值评分满分20】:19(耐看/高颜值/一般) 【身材评分满分20】:18(皮肤/身材/罩杯) 【吊感评分满分20】:19(户型/紧度/水量/包裹感) 【服务评分满分10】:8(流程化/女友感/三件套) 【态度评分满分10】:10(主动询问/自觉服务) 【环境评分满分10】:9(日租房/公寓/高档小区) 【综合评分满分100】:92(以上相加) 情绪价值描述: 可爱小嫩妹,略显羞涩,说话软软糯糯,沟通正常,非常配合,指哪打哪。 【过程描述】: 舌吻 ✅ 口活 ✅ …

9 Oct 2026, 08:33 UTC261 viewsread 10 October 2026
Video

今天起来晚了 只能换好jk 等宝宝们了🥰🥰🥰🍼🍼🍼

9 Oct 2026, 08:29 UTC267 viewsread 10 October 2026

半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】 【不足】 【妹子花名】:噜妹 【联系方式】:@lmllv7 【妹子年龄】:18 【验证留名】:梦春我 【验证时间】:10月8日 【大概位置】:余杭 【修车水费】:1000p 【高端服务】:有的打✅ ① 舌吻 :有 ② 69舔逼 :本人不感兴趣,所以没问 ③ 情绪价值 :高 ④ 毒龙 【人照相似】:人照相似高,照片一看就是喜欢的那种小班花,完完全全嫩妹 【身高身材】:身高比较165左右,皮肤很滑,柔软 【凶器罩杯】:非常挺拔,有B,手感很好 【湿度紧度】:下面很粉,纯嫩妹 【环境细节】: 【个人卫生】:新租的房子,房间环境很好,事前事后有清洗 【时间管理】:排课宽松,课时很满 【服务点评】:服务到位,配合度高 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评:超级好评 【流程小文】下午看到老师上工兵…

9 Oct 2026, 08:28 UTC243 viewsread 10 October 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】 嫩,水灵,可爱,甜妹 【不足】对业务略显生疏 【妹子花名】:#噜妹 【联系方式】:@lmllv7 【妹子年龄】:18 【验证留名】:Silas 【验证时间】:10月8号 【大概位置】:未科 【修车水费】:工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照9分 和好评,视频相差无几 【身高身材】:皮肤白 身体略有阻力那种光滑,手感好 【凶器罩杯】:B 奶子手感很好,有弹性,乳頭红豆大小,颗粒感明显,粉色 【湿度紧度】:毛非常少 水量正常 内外粉嫩 紧的很 【环境细节】:课室干净 卫生 整齐 空间开阔 就是床略微有一些异响 【个人卫生】:不抽烟 有一次性浴巾 【时间管理】:开课准时 【服务点评】:无少做 【推荐程度】:✅ 差评 中评 …

8 Oct 2026, 11:50 UTC406 views0 reactionsread 10 October 2026
Forwarded from @bandaoBG

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】 【不足】 【妹子花名】:噜妹 【联系方式】:@lmllv7 【妹子年龄】:18 【验证留名】:keara 【验证时间】:8号 【大概位置】:余杭 【修车水费】:1000p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:9分像 嫩萝莉一枚 【身高身材】:身材很好 皮肤白嫩 【凶器罩杯】:B 奶头立体 【湿度紧度】:毛少 正常湿度 很紧 粉嫩 【环境细节】:停车方便 环境比较温馨 【个人卫生】:不抽烟 事后有清洗 【时间管理】:开课准时 【服务点评】:无少做 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评✅ 【流程小文】:看到老师刚来杭州就立马约了。上城出发和老师约到了6点正,,老师在一个小区哪里比较安静车位位也很充足,也是非常干净的…

Showing the 12 most recent of 19 posts we hold for @nmnnv2. 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 2 registered channels — 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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“噜妹的朋友圈” (@nmnnv2), 330 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/nmnnv2.

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.