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Channel

长沙嫩妹报告区🎀

@nmllsbg

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

13,345subscribers

+225 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002212608561
TypeChannel
Username@nmllsbg
Description长沙嫩妹群: @csnmlls 长沙嫩妹榜: @cs_nmb
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/nmllsbg

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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

13,12013,35913,239.57 August 2026 — 13,120 subscribers8 August 2026 — 13,126 subscribers9 August 2026 — 13,142 subscribers10 August 2026 — 13,161 subscribers11 August 2026 — 13,164 subscribers12 August 2026 — 13,172 subscribers13 August 2026 — 13,191 subscribers14 August 2026 — 13,197 subscribers16 August 2026 — 13,199 subscribers17 August 2026 — 13,200 subscribers18 August 2026 — 13,208 subscribers19 August 2026 — 13,223 subscribers20 August 2026 — 13,233 subscribers22 August 2026 — 13,225 subscribers24 August 2026 — 13,231 subscribers25 August 2026 — 13,235 subscribers26 August 2026 — 13,241 subscribers27 August 2026 — 13,255 subscribers28 August 2026 — 13,256 subscribers29 August 2026 — 13,253 subscribers30 August 2026 — 13,255 subscribers31 August 2026 — 13,257 subscribers1 September 2026 — 13,252 subscribers2 September 2026 — 13,258 subscribers4 September 2026 — 13,255 subscribers6 September 2026 — 13,263 subscribers9 September 2026 — 13,282 subscribers12 September 2026 — 13,288 subscribers13 September 2026 — 13,311 subscribers15 September 2026 — 13,315 subscribers17 September 2026 — 13,334 subscribers27 September 2026 — 13,345 subscribers4 October 2026 — 13,331 subscribers9 October 2026 — 13,334 subscribers13 October 2026 — 13,347 subscribers14 October 2026 — 13,345 subscribers15 October 2026 — 13,344 subscribers16 October 2026 — 13,343 subscribers17 October 2026 — 13,344 subscribers18 October 2026 — 13,349 subscribers20 October 2026 — 13,340 subscribers20 October 2026 — 13,350 subscribers22 October 2026 — 13,338 subscribers24 October 2026 — 13,339 subscribers25 October 2026 — 13,352 subscribers26 October 2026 — 13,359 subscribers27 October 2026 — 13,357 subscribers28 October 2026 — 13,354 subscribers29 October 2026 — 13,350 subscribers30 October 2026 — 13,351 subscribers31 October 2026 — 13,346 subscribers1 November 2026 — 13,349 subscribers2 November 2026 — 13,352 subscribers3 November 2026 — 13,351 subscribers4 November 2026 — 13,346 subscribers5 November 2026 — 13,345 subscribers13,3457 August 20265 November 2026
56 measurements spanning 90 days, net +225. 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 13,084–13,395 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
5 Nov 2026, 12:3613,345-1
4 Nov 2026, 09:4613,346-5
3 Nov 2026, 07:1913,351-1
2 Nov 2026, 09:2513,352+3
1 Nov 2026, 12:0613,349+3
31 Oct 2026, 10:4613,346-5
30 Oct 2026, 08:0613,351+1
29 Oct 2026, 05:1913,350-4
28 Oct 2026, 03:3613,354-3
27 Oct 2026, 06:3913,357-2
26 Oct 2026, 09:4413,359+7
25 Oct 2026, 06:5613,352+13
24 Oct 2026, 04:0813,339+1
22 Oct 2026, 05:4613,338-12
20 Oct 2026, 22:3113,350+10
20 Oct 2026, 00:2813,340-9
18 Oct 2026, 21:1013,349+5
17 Oct 2026, 23:5113,344+1
16 Oct 2026, 20:3013,343-1
15 Oct 2026, 21:1613,344first reading

Engagement

91 posts held, back to 6 August 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.99%
avg views ÷ 13,345 subscribers
Avg views / post
666
21 posts measured
Reaction rate
0.179%
reactions ÷ views · ER floor
Posts in window
21
of 91 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 10 of 21 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 3 November 2026
Posts held91 (6 August 2026 – 3 November 2026)
Views total13,990
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 18:27 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

Photos
≈2
Links
≈1,730

Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

46 reactions across 35 posts, in 2 distinct kinds. The most used accounts for 97.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4597.8%
👍12.17%

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 44 of the 91 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 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 91 most recent posts we hold, published 6 August 2026 to 3 November 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

Telegram’s own ‘edited’ marker: 3 of 21 posts held from the last 30 days (14.3%) 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).

3 Nov 2026, 16:26 UTC432 views1 reactionsread 5 November 2026

[]出击日期[]:11.2日 []狼友留名[]:gaozhong []老师花名[]:小丸子 []所属频道[]:https://t.me/csnmck/7487 []开课区域[]:雨花 []见面感觉[]: 8分 []身材曲线[]: 8分 []服务技术[]: 8分 []人照相似[]: 8分 []目测年龄[]:19 []目测罩杯[]:b []皮肤颜色[]:小麦 []性格态度[]:好 []体验总结[]:嗯刚干这行业的小妹妹,可能经验不是特别足,需要去引导。嫩是特别嫩, 总体体验是挺好的 人照相似,值得来体验一下。 提交报告 @nmbobot

❤1

1 Nov 2026, 13:31 UTC696 views1 reactionsread 5 November 2026

[]出击日期[]:10.25 []狼友留名[]:Harr []老师花名[]:仙人掌 []所属频道[]:https://t.me/csnmck/4375 []开课区域[]:岳麓区 []见面感觉[]: 7分 []身材曲线[]: 7分 []服务技术[]: 7分 []人照相似[]: 7分 []目测年龄[]:19 []目测罩杯[]:B []皮肤颜色[]:白 []性格态度[]:主动热情 []体验总结[]: 人照基本一致,妆容好看,经过上课体验,认为像刚下海不久,动作偏稚嫩,容易害羞,不够骚。可惜,我本人喜欢那种多些互动,骚里骚气的老师。整个过程老师还是很配合,敏感等时候会哼哼唧唧,边桩边摸边亲,可惜今天状态真的一般般,过了好一会还是不行,只能让老师手打柠檬茶,老师也是很配合的给我手出了。 听话配合,喜欢嫩妹可以出击 提交报告 @nmbobot

❤1

1 Nov 2026, 07:33 UTC668 views0 reactionsread 5 November 2026

[]出击日期[]:10.31 []狼友留名[]:大牛 []老师花名[]:软小软 []所属频道[]:https://t.me/csnmck/7445 []开课区域[]:雨花 []见面感觉[]: 8分 []身材曲线[]: 8分 []服务技术[]: 8分 []人照相似[]: 8分 []目测年龄[]:十七八 []目测罩杯[]:B []皮肤颜色[]:白 []性格态度[]:性格开朗态度还不错 []体验总结[]:软小软肤白貌美,皮肤细滑,三点粉而敏感,水特别多。服务方面完全超预期,美腿搭配黑丝袜情趣玩得特别刺激。她69技术一流,主动又卖力,榨汁机功力深厚,吸得我爽到头皮发麻。课程玩得非常尽兴,没有任何敷衍,身材好、服务又到位的类型,敏感体质加主动态度让人欲罢不能。 提交报告 @nmbobot

1 Nov 2026, 07:32 UTC570 views2 reactionsread 5 November 2026

[]出击日期[]:10.29 []狼友留名[]:匿名 []老师花名[]:芭比 []所属频道[]:https://t.me/csnmck/6452 []开课区域[]:岳麓区 []见面感觉[]: 8分 []身材曲线[]: 8分 []服务技术[]: 8分 []人照相似[]: 8分 []目测年龄[]:19 []目测罩杯[]:b []皮肤颜色[]:黄白 []性格态度[]:温柔 []体验总结[]:人如其名,老师的脸美得就像一个芭比娃娃,巴掌脸,五官精致小巧。颜值算中美了,是那种平时只能在抖音里面见到的美女。168cm的身高,然后老师的身材很好,九头身,身段比例很好。穿衣服比不穿衣服好看,穿衣服更显极品身材。建议准备几套战袍,我喜欢职业装。做爱反馈好,不是死鱼,也不假。 优点:脸蛋漂亮,身材好,姿势配合。 缺点:不能舌吻,只能kiss。情趣制服少了点。然后就是看手机有点频繁了,希望能改进。 提交报告 @nmbobot

❤2

1 Nov 2026, 07:30 UTC481 viewsread 5 November 2026

[]出击日期[]:10.31 []狼友留名[]:kk []老师花名[]:萱萱酱 []所属频道[]:https://t.me/csnmck/7456 []开课区域[]:雨花区 []见面感觉[]: 8分 []身材曲线[]: 9分 []服务技术[]: 7分 []人照相似[]: 10分 []目测年龄[]:老师自称18岁 []目测罩杯[]: B+ []皮肤颜色[]: 黄白 []性格态度[]: 不机车 []体验总结[]: 老师是个人自聊的,这次比较赶时间顺便去探探雷,结果一见本人感觉还可以,匆匆交了学费就跑去洗澡了,因为赶时间就没有要老师陪浴了,就我自己随便洗了下,一出来看见老师两个小白兔又圆又挺,屁股也有肉腿也细心想这回可得吃了,老师带了牙套,但不影响她口,出乎意外的是口得还行,就是有cd,需要休息一下才能继续口,我的手也没闲着把玩着老师的乳头没一会乳头就梆硬了,顺势手就往下面伸去,试探性的摸了一下小豆豆意外的比…

1 Nov 2026, 07:26 UTC413 viewsread 5 November 2026

[]出击日期[]:10.30 []狼友留名[]:会飞的蜗牛 []老师花名[]:菜菜 []所属频道[]:https://t.me/csnmck/6938 []开课区域[]:雨花区 []见面感觉[]: 7分 []身材曲线[]: 7分 []服务技术[]: 7分 []人照相似[]: 7分 []目测年龄[]:19 []目测罩杯[]:B []皮肤颜色[]:黄 []性格态度[]:性格很好的老师 服务态度也很好 皮肤偏黄 下面粉粉嫩嫩的 大蟒蛇!有一条大花腿 细腰硕果 []体验总结[]:服务可以说是满分 没有可以挑剔的 娇喘声很可爱 本人比较照片漂亮 一定会二刷的 提交报告 @nmbobot

1 Nov 2026, 07:23 UTC381 viewsread 5 November 2026

[]出击日期[]:10.30 []狼友留名[]:长沙第一快 []老师花名[]:芭比 []所属频道[]:https://t.me/csnmck/6452 []开课区域[]:岳麓区 []见面感觉[]: 8分 []身材曲线[]: 8分 []服务技术[]: 8分 []人照相似[]: 8分 []目测年龄[]:19 []目测罩杯[]:B []皮肤颜色[]:黄白 []性格态度[]:开朗 []体验总结[]:见面第一眼,真牛逼,仔细再看,确实牛逼,看照片感觉p了,其实本人比照片还好看,又高,一点赘肉都没有,身材特别棒,性格也很好,各种姿势配合度也非常好,一张很漂亮的脸在你面前慢慢口,doi的时候声音又自然又痛苦又妩媚的,再配上那种漂亮小脸的丰富表情,哥们儿是真顶不住啊,虽然我是长沙第一秒男,今天硬憋到了5分钟,舍不得出水,无脑冲就完了,很漂亮很可人的御姐甜妹🤗

1 Nov 2026, 07:22 UTC366 viewsread 5 November 2026

[]出击日期[]:10.30 []狼友留名[]:张某 []老师花名[]:芭比 []所属频道[]:https://t.me/csnmck/6452 []开课区域[]:岳麓区 []见面感觉[]: 7分 []身材曲线[]: 7分 []服务技术[]: 7分 []人照相似[]: 7分 []目测年龄[]:18 []目测罩杯[]:A []皮肤颜色[]:白 []性格态度[]:很热情 []体验总结[]:体验非常好的一次出击,中午就直接过来找老师,刚到门口老师就热情的邀请进去坐,然后洗澡,然后课表流程走完,很愉快的结束了一次,还好约的是两次 提交报告 @nmbobot

1 Nov 2026, 07:18 UTC361 views1 reactionsread 5 November 2026

[]出击日期[]:10、27 []狼友留名[]:海临 []老师花名[]:沐慕 []所属频道[]:https://t.me/csnmck/7424 []开课区域[]:雨花区 []见面感觉[]: 8分 []身材曲线[]: 8分 []服务技术[]: 8分 []人照相似[]: 9分 []目测年龄[]:19 []目测罩杯[]:B []皮肤颜色[]:白 []性格态度[]:乖巧听话,服务好 []体验总结[]:约好时间就直奔目的地了,进门老师跟热情的接待我,进房一看果然身材很不错皮肤很好,🐻虽然不是很大,但A4的腰,小翘臀的身材忍不住立即抱上了,付款洗完上床就迫不及待直奔主题,这身材确实很好又主动配合,叫床声实在太好听了,老师还挺会聊天的声音甜美,老师便主动开始服务,口得很舒服,没一会就一柱擎天了这次做的很久老师也配合着变换各种姿势,最喜欢的是69式,我吃老师鲍鱼,老师吃我大肉棒,爽到快晕过去了,哈哈,因为她身材很好,看着就有一…

❤1

1 Nov 2026, 07:15 UTC366 viewsread 5 November 2026

]出击日期[]:10.28 []狼友留名[]:车水马龙 []老师花名[]:奇异果大夏520号 https://t.me/csspahsthb []开课区域[]:高桥附近奇异果大夏 []见面感觉[]:9 []身材曲线[]:8 []服务技术[]:8 []人照相似[]:9 []目测年龄[]:24 []目测罩杯[]:c➕ []皮肤颜色[]:白 []性格态度[]:非常主动非常热情 []体验总结[]:技师的分寸感拿捏得特别好,不会过度搭话打扰你放空,也不会全程冷场,每一步操作前都会轻声提前说明,力度不合适立刻调整,整个过程完全不用费神,是真正能让人卸下所有防备、彻底放松的体验。技师非常主动热情,会主动贴贴和主动引导,非常适合被动型的客人,十分满分必须给这次体验打满分,非常舒服,下次继续出击

1 Nov 2026, 07:12 UTC366 viewsread 5 November 2026

[]出击日期[]:10.27 []狼友留名[]:粉胖哥布林 []老师花名[]:冷月大王 []所属频道[]:https://t.me/csnmck/7393?single []开课区域[]:芙蓉区 []见面感觉[]: 7分 []身材曲线[]: 7分 []服务技术[]: 7分 []人照相似[]: 7分 []目测年龄[]:18 []目测罩杯[]:b []皮肤颜色[]:正常 []性格态度[]:对待哥布林友好 []体验总结[]:哥布林N刷月月老师了,今天刚好没事 哥布林元气满满 出击一波月月去,约好时间后提前到的,楼下等了一会,上楼见面后还是那个我喜欢的月月,已经N刷了写个大概流水吧,开门月月喜欢躲门后 ,小小一只165的样子 比哥布林高。90+斤胸还是小B。。脸有点婴儿肥 很好看 和照片8 9对版 美颜不高。闲聊几句后,交了课费后开始上课 月月会先拿鞋子过来喊我换好一起冲凉 我先进去冲凉 月月会含漱口水在挤好牙膏在进来 一起洗,…

1 Nov 2026, 07:11 UTC370 viewsread 5 November 2026

[]出击日期[]:2026.10.27 []狼友留名[]:擎天柱 []老师花名[]:小欣 []所属频道[]:https://t.me/csnmck/7315 []开课区域[]:岳麓 []见面感觉[]: 8分 []身材曲线[]: 8分 []服务技术[]: 8分 []人照相似[]: 9分 []目测年龄[]:19 []目测罩杯[]:b []皮肤颜色[]:白 []性格态度[]:温柔,大方 []体验总结[]:见面发现老师小小的一支,人照对版,立马交了水费,老师帮忙洗浴,然后进入正式环节,调情,口的很认真,口活好,爱爱环节配合度高,性格好,互动高。总结还会在去的,体验感好 提交报告 @nmbobot

Showing the 12 most recent of 91 posts we hold for @nmllsbg. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“长沙嫩妹报告区🎀” (@nmllsbg), 13,345 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/nmllsbg.

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.