[]出击日期[]:10.11 []狼友留名[]:逍遥 []老师花名[]:衣衣 []所属频道[]:https://t.me/csnmck/7503 []开课区域[]:岳麓区 []见面感觉[]: 8分 []身材曲线[]: 7分 []服务技术[]: 8分 []人照相似[]: 8分 []目测年龄[]:20左右 []目测罩杯[]:b+ []皮肤颜色[]:嫩 []性格态度[]:还不错 []体验总结[]:因为看到有个200的所以尝试一下,没想到妹子还不错,也是嫩妹,但是标准的蛋炒饭没有什么太多服务,时间也就标标准准吧,好的就是有自己的课室,可以洗澡体验感稍微强一些,只能说很有性价比了,有兴趣的狼友可以去cj一下

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
13,336subscribers
+216 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 |
|---|---|
| Type | Channel |
| Username | @nmllsbg |
| Description | 长沙嫩妹群: @csnmlls 长沙嫩妹榜: @cs_nmb |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 08:15 | 13,336 | -2 |
| 10 Nov 2026, 08:05 | 13,338 | +1 |
| 8 Nov 2026, 19:41 | 13,337 | -7 |
| 7 Nov 2026, 11:40 | 13,344 | +4 |
| 6 Nov 2026, 11:16 | 13,340 | -5 |
| 5 Nov 2026, 12:36 | 13,345 | -1 |
| 4 Nov 2026, 09:46 | 13,346 | -5 |
| 3 Nov 2026, 07:19 | 13,351 | -1 |
| 2 Nov 2026, 09:25 | 13,352 | +3 |
| 1 Nov 2026, 12:06 | 13,349 | +3 |
| 31 Oct 2026, 10:46 | 13,346 | -5 |
| 30 Oct 2026, 08:06 | 13,351 | +1 |
| 29 Oct 2026, 05:19 | 13,350 | -4 |
| 28 Oct 2026, 03:36 | 13,354 | -3 |
| 27 Oct 2026, 06:39 | 13,357 | -2 |
| 26 Oct 2026, 09:44 | 13,359 | +7 |
| 25 Oct 2026, 06:56 | 13,352 | +13 |
| 24 Oct 2026, 04:08 | 13,339 | +1 |
| 22 Oct 2026, 05:46 | 13,338 | -12 |
| 20 Oct 2026, 22:31 | 13,350 | first reading |
Engagement
106 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.73%
- avg views ÷ 13,336 subscribers
- Avg views / post
- 765
- 35 posts measured
- Reaction rate
- 0.14%
- reactions ÷ views · ER floor
- Posts in window
- 36
- of 106 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 17 of 35 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 106 (6 August 2026 – 13 November 2026) |
| Views total | 26,761 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 08:39 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
- ≈1,750
Lifetime counters from Telegram’s own channel header, read 14 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
53 reactions across 40 posts, in 2 distinct kinds. The most used accounts for 96.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 51 | 96.2% | |
| 👍 | 2 | 3.77% |
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 51 of the 106 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 53 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 106 most recent posts we hold, published 6 August 2026 to 13 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: 6 of 36 posts held from the last 30 days (16.7%) 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).
[]出击日期[]:11.11 []狼友留名[]:元先生 []老师花名[]:宣宣 []所属频道[]:https://t.me/csnmck/7597 []开课区域[]:上门 []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[]:👌 []体验总结[]:老师见面比照片漂亮,看得出来刚下海没有风俗感觉,态度很好,作为嫩妹就不要想服务了,有情绪价值就行 提交报告 @nmbobot
❤1
[]出击日期[]:11月11 []狼友留名[]:奶白哥哥 []老师花名[]:小鱼饼 []所属频道[]:https://t.me/csnmck/7681 []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[]:C []皮肤颜色[]:黄白皮 []性格态度[]:能聊 []体验总结[]: 今天打开tg,发现新老师小鱼饼,看起来底子不错,最近比较劳累,本意想喊老师上门,奈何老师上门只做pp,做不了一点,不是囊肿羞涩,实在是第二次做不出来,记得去年有个中圈老师,硬要我做满90分钟,结果第2p只接打桩到结束都没出,老师下面都红彤彤的肿了。 开车到老师🏠,按指导上楼,开门就是一只小小的萝莉,目测1.58左右,身姿纤细如初春新柳,面容清纯似晨露未晞,笑起来眉眼弯弯,甜得像融化的棉花糖,让人心头一软。 洗浴时,老师衣服一脱,顿…
[]出击日期[]:11.12 []狼友留名[]:ZZbg []老师花名[]:小菲 []所属频道[]:https://t.me/csnmck/7295 []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[]:D []皮肤颜色[]:白黄 []性格态度[]:主动热情 []体验总结[]:小菲年轻漂亮,亲和力很强,洗完澡,到了床上又口了一阵,我都快忍不住了,带了套套,我抱着她一阵输出,又换成女下,看到小菲的户型很漂亮,刺激之下又是一阵输出,小菲被我插得嘤嘤呻吟,娇喘不断,我感觉快要射了,让他平趴床上,我后入进入,冲着小菲弹弹的屁股我再也控制不住喷涌射出,舒服极了,临走又抱抱,如同女友般告别,这次体验真的很过瘾,很棒! 提交报告 @nmbobot
[]出击日期[]:11月13号 []狼友留名[]: @@@ []老师花名[]:观音捭 []所属频道[]:https://t.me/csnmck/7650 []开课区域[]:雨花区 []见面感觉[]: 7分 []身材曲线[]: 7分 []服务技术[] 8分 []人照相似[]: 8.5 分 []目测年龄[]:18 []目测罩杯[]: []皮肤颜色[]:微黄 []性格态度[]:配合 []体验总结[]:一位非常清纯而又敏感的妹妹,小心翼翼似小鹿一般的性格,却是天然呆。玲珑曼妙,如同雨花边上一颗蒙尘的明珠,于我心中闪耀。远赴此次约会,一见面,映入眼帘的,便是那漆黑中明亮的瞳子,仿佛繁星在她的眼中闪耀~ 妹妹身体稍显娇弱,惹人怜惜,与我水乳交融,浅蛇和足交更是让我视其为怀中的珍宝。一番嬉/笑,更显少女的娇憨可爱,情绪价值十足,女友感觉拉满,一场恋人一样的约会 提交报告 @nmbobot
❤1
长沙嫩妹报告区🎀 pinned «[]出击日期[]:11.9 []狼友留名[]:fufuyoyo []老师花名[]:婉仪 []所属频道[]:https://t.me/csnmck/7623 []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[]:22 []目测罩杯[]:A []皮肤颜色[]:白 []性格态度[]:主动,温柔体贴 []体验总结[]:婉仪比照片好看一些,属于耐看型,而且皮肤白皙。妹妹躺在床上,我们坦诚相见后,妹妹主动🐍上…»
[]出击日期[]:11.10 []狼友留名[]:瓜田李 []老师花名[]:小奶芙 []所属频道[]:https://t.me/csnmck/5629 []开课区域[]:雨花区 []见面感觉[]: 8分 []身材曲线[]: 8分 []服务技术[]: 7分 []人照相似[]: 8分 []目测年龄[]:18 []目测罩杯[]:38D []皮肤颜色[]:白 []性格态度[]:乖巧嫩妹 []体验总结[]:有空恰好榜上看到小奶芙,研究了奶芙妹妹的课表和频道,微胖大胸嫩妹是我喜欢的妹子,进门看到跟照片差不多的妹妹给我笑咪咪的打招呼,事业线若隐若现,我悬着的心终于放下了。真人跟照片起码有9分像,就是美颜了一下,很嫩也挺耐看。于是立马交水费,后面就是一起脱衣鸳鸯浴,但是妹妹还是跟我一起冲了一下。抓着她那紧实的大波,手感是真的不错,奶头粉粉的,真的有38D洗完后上床前先吃了一下大奶子,顺便吻了一下小奶芙的嘴唇,然后就是躺下口二弟,小…
[]出击日期[]:1109 []狼友留名[]:cc []老师花名[]:甜甜 []所属频道[]:https://t.me/csnmck/7260 []开课区域[]: []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[]:c []皮肤颜色[]:偏白 []性格态度[]:内向很乖 []体验总结[]:夯,可以69微🐍,主要是在这个价位颜值爆表,鼻子和眼睛都很好看,基本上和图片差不多 目前这个价位感觉也就去年芸芸差不多一个颜值,性格很乖像是邻居妹妹,打算过段时间在出击,还有妹妹36码小脚也很好看,老师还怕痒,笑起来很甜,不愧是甜甜。身材的话,有点圆润但算不上微胖,没有双下巴和小肚子。 缺点:虽然脸上有点小痘痘但考虑老师年轻,而且化妆也看不出来,然后老师说她抽烟,我是没闻到烟味,蛇的时候也没感觉到。
[]出击日期[]:11.9 []狼友留名[]:fufuyoyo []老师花名[]:婉仪 []所属频道[]:https://t.me/csnmck/7623 []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[]:22 []目测罩杯[]:A []皮肤颜色[]:白 []性格态度[]:主动,温柔体贴 []体验总结[]:婉仪比照片好看一些,属于耐看型,而且皮肤白皙。妹妹躺在床上,我们坦诚相见后,妹妹主动🐍上来,小舌头一直往嘴里顶,太舒服了。然后我上下舔了一会,特别是两个嫩胸,超级舒服。服务方面,妹妹先给口二弟,口了一会我就叫暂停了,我有点敏感不敢过多尝试,加上也是实在忍不住了,赶紧带上套直接猛插,全程妹妹闭著眼享受,中间换了很多姿势妹妹都很配合,会轻盈的发出声音,女友般的感觉,让你感觉很温柔,纯纯的恋爱女友感,整体来说,很值得去,…
[]出击日期[]:11.8 []狼友留名[]:乌啦啦 []老师花名[]:思妍 []所属频道[]:https://t.me/csnmck/7613 []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[]:18 []目测罩杯[]:A []皮肤颜色[]:白 []性格态度[]:性格态度都很不错 []体验总结[]:cj这么多次。第一次见刚开始下面就流水的。又嫩水又多。性格态度也很棒。 提交报告 @nmbobot
❤1
[]出击日期[]:11.8 []狼友留名[]:小丞 []老师花名[]:米露 []所属频道[]:https://t.me/csnmck/7535 []开课区域[]:雨花区 []见面感觉[]:8 分 []身材曲线[]:8 分 []服务技术[]:5 分 []人照相似[]:9 分 []目测年龄[]:18 []目测罩杯[]:A []皮肤颜色[]:白皙 []性格态度[]:开朗活泼不冷场 []体验总结[]:看频道有优惠 打算过去瞧瞧 地方容易找 也比较安全 真人和频道照片所差无几 蛮漂亮 蛮耐看的 皮肤很白 于是就交了水费 服务嘛 嫩妹三件套 不过妹子很听话 也不冷场 会唠嗑 临走还交待注意安全 值得二刷✌️
[]出击日期[]:11.7 []狼友留名[]:kris []老师花名[]:小怡 []所属频道[]:https://t.me/csnmck/7461 []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[]: 8分 []目测年龄[]: 20 []目测罩杯[]:B []皮肤颜色[]: 白净 []性格态度[]:性格很外向,相处舒服轻松 []体验总结[]: 性格好,活泼爱笑,接触起来很投入,像女朋友一样,身材属于瘦的,抱起来很舒服,个人喜好来说真人比照片好看,全程认真对待,值得! 提交报告 @nmbobot
❤1
Showing the 12 most recent of 106 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“长沙嫩妹报告区🎀” (@nmllsbg), 13,336 subscribers as measured 12 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.