💐老师:#白鹿 个人🉑上🚪 🌎区域 #厦门 #集美区 😦课费: 600p 1100pp 🐱电报:@bailubaobao ✏️频道:https://t.me/bailugeren 🤖双向: @bailubaobao_bot ✍️:给老师写报告 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

Channel
厦门福州颜值嫩妹老师榜🅢
@bcyme
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
49,864subscribers
-1,717 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003288974299 |
|---|---|
| Type | Channel |
| Usernames | @bcyme @sdapp1106 |
| Description | 聊天群 : https://t.me/nenmeixj 防丢群 : https://t.me/wuhanlyjlh 上榜联系 : @neimei98bot |
| Created | Between 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/bcyme |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 07:40 | 49,864 | -49 |
| 8 Sept 2026, 08:36 | 49,913 | -101 |
| 6 Sept 2026, 03:15 | 50,014 | -58 |
| 5 Sept 2026, 03:01 | 50,072 | -46 |
| 4 Sept 2026, 01:00 | 50,118 | -22 |
| 3 Sept 2026, 09:19 | 50,140 | -40 |
| 2 Sept 2026, 15:35 | 50,180 | -56 |
| 1 Sept 2026, 23:46 | 50,236 | -11 |
| 1 Sept 2026, 16:23 | 50,247 | -40 |
| 1 Sept 2026, 01:45 | 50,287 | -11 |
| 31 Aug 2026, 16:37 | 50,298 | -23 |
| 31 Aug 2026, 03:13 | 50,321 | -15 |
| 30 Aug 2026, 19:05 | 50,336 | -39 |
| 30 Aug 2026, 03:34 | 50,375 | -16 |
| 29 Aug 2026, 21:03 | 50,391 | -43 |
| 29 Aug 2026, 06:25 | 50,434 | -12 |
| 28 Aug 2026, 19:56 | 50,446 | -18 |
| 28 Aug 2026, 05:43 | 50,464 | -15 |
| 27 Aug 2026, 21:33 | 50,479 | -23 |
| 27 Aug 2026, 06:38 | 50,502 | first reading |
Engagement
73 posts held, back to 10 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 61 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.64%
- avg views ÷ 49,864 subscribers
- Avg views / post
- 818
- 67 posts measured
- Reaction rate
- 1.14%
- reactions ÷ views · ER floor
- Posts in window
- 67
- of 73 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 34 of 67 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 73 (10 August 2026 – 9 September 2026) |
| Views total | 54,813 |
| Reactions total | 385 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 23:17 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
- ≈2,170
- Videos
- ≈446
- Links
- ≈518
Lifetime counters from Telegram’s own channel header, read 9 September 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.
- Video runtime
- 8m 20s
- Average length
- 11s
Measured directly from 44 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
472 reactions across 38 posts, in 10 distinct kinds. The most used accounts for 12.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 58 | 12.3% | |
| 💯 | 58 | 12.3% | |
| 😍 | 58 | 12.3% | |
| 🤩 | 52 | 11.0% | |
| 🎉 | 51 | 10.8% | |
| 🥰 | 51 | 10.8% | |
| 👍 | 49 | 10.4% | |
| ❤🔥 | 48 | 10.2% | |
| 🔥 | 46 | 9.75% | |
| 👏 | 1 | 0.212% |
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 40 of the 73 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 472 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 10 August 2026 to 9 September 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
💐老师:#水蜜桃 🌎区域 #厦门 #湖里区 😦课费: 600p 1200pp 🐱电报:@Xm_shuimitao ✏️频道:https://t.me/mitaomeimei1 🤖双向: ✍️:给老师写报告 妹子很年轻,身材好,屁股线条超棒,进门先洗澡,洗完开始给我服务,一边手摸我几把,我透过内裤一直揉着小穴,妹子直接上嘴了,一顿口太爽了,把持不住了直接插进去,姐姐舒服的呻吟着,扭动着身体,蹲着,趴着,各种姿势,边干边叫我用力,冲刺俩百下,缴枪!总结一下,妹子身材确实不错,屁股又大又圆又翘,具体自行体验吧。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎…
❤1
💐老师:#咕咕 🌎区域 #厦门 #湖里区 😦课费: 700p 1400pp 🐱电报:@gugu981 ✏️频道:https://t.me/gtxiaoying667 🤖双向: ✍️:给老师写报告 没想到,嫩,白,甜,乖,皮肤好,无纹身,无痘痘,素颜能打,物超所值,主动陪洗,不敷衍,自己也认认真真洗干净,然后到床上主动索吻,一套连招真招架不住。目测年龄18,本人比照片好看,是清纯的类型,但身材很完整,有反差感。情绪价值高,温柔会聊天,服务到位。环境干净,灯光、温度也调得合适,找不到什么缺点。可惜状态不佳123了,来日再战 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhan…
💐老师:#洛依 🌎区域 #福州 #仓山区 😦课费: 700p 1400pp 🐱电报:@luoyib520 ✏️频道:https://t.me/luoyibb520 🤖双向: ✍️:给老师写报告 说话很温柔,声音很好听,身材颜值很不错,也很贴心帮忙脱衣服,洗手会帮忙拿纸巾给我擦手,服务过程也很细致,下面很紧,干起来会夹,也很有耐心,很爱笑,很可爱的女孩子。体验很不错👍 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot
💐老师:#沫沫 🌎区域 #泉州 #丰泽区 😦课费: 400p 800pp 🐱电报: @Cavityv ✏️频道: https://t.me/ttCavityv 🤖双向: ✍️:给老师写报告 临时约的老师没想到正好有空。人照差别不大,去掉美颜基本差不多,看起来挺舒服的。有点肉感,一手能握。很能聊,不冷场。整体不错。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot
💐老师:#思纯 🌎区域 #思明区 😦课费: 600p 1200pp 🐱电报: @Sichunbb ✏️频道: https://t.me/SichunBabysc 🤖双向: ✍️:给老师写报告 看到这个姐姐想约很久了,趁有空就跟姐姐预约了今天!满怀期待的过去果然没有令我失望,姐姐笑起来真的太好看了,两个小虎牙我是超爱看!付米后迫不及待就脱光光进去共浴了,一在挑逗我的小弟弟,然后一把含住,啊~口活超级棒👍🏻一瞬间我就感觉我是在做梦吗,后面擦干身子就去床上给我按了一下摩,然后各种挑逗,我再也控制不住直接带☂️把姐姐扑到,进去,哇又暖又紧!!!一番风雨后交了作业!太有感觉了。我个人比较喜欢纹身,老师肚子…
💐老师:#颖宝 🌎区域 #厦门 #湖里区 😦课费: 600p 1200pp 🐱电报: @Yingbabe ✏️频道: https://t.me/Yingbaby520 🤖双向: ✍️:给老师写报告 老师先是和我进行了一番鸳鸯浴,十分仔细的帮我擦拭身体各处,时不时的挑逗我,用小嘴巴照顾我,小弟弟很快就不争气的起立了,我再也忍耐不住,擦干身体后便把老师扑倒在床上,谁知老师笑笑说让她来,温柔的掌握回主动权,做到了我的上面,不断用她那淫荡的大奶子和妩媚的眼神挑逗我,她仿佛看穿了我的想法,吸吮我的乳头,品尝我的舌头,居然我没多久就蛇了!这简直是我近期以来最好的一次体验! 之后我略作休息哦,第二次,老师没有…
💐老师:#十八 🌎区域 #厦门 #湖里区 😦课费: 500p 1000pp 🐱电报: @shiba872 ✏️频道: https://t.me/shibagegeme 🤖双向: ✍️:给老师写报告 去比较方便。老师也很谨慎专业让人安心。身材我很满意,胸摸着顶很弹。要求穿黑丝情趣服也满足了。黑丝腿摸着手感很好。屁股大腰部无赘肉好评。实战利器服务态度让我觉得很舒适。下次一定要再来 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot
💐老师:#灵曦 🌎区域 #福州 #晋安区 😦课费: 600p 1200pp 🐱电报: @tanxiaobao1919 ✏️频道: https://t.me/xiaohaitang1919 🤖双向: ✍️:给老师写报告 老师十分热情,开门后先送上一瓶水。然后拿了新的一次性拖鞋,换鞋后付了教学费,自己去洗澡。上床后就是3点口,口活很好,再加上2个大车灯,差点就出货。马上叫停,女上起步,老师全自动,值得表扬,接着cjs出货。结束后,老师也不催,热情的聊起了天。值得回冲。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服…
💐老师:#娇娇 🌎区域 #厦门 #湖里区 😦课费: 700p 1400pp 🐱电报: @jiaojiao00880 ✏️频道: https://t.me/enxi5921 🤖双向: ✍️:给老师写报告 人照合一,房间不大但温馨,服务了得,黑丝美腿很是诱惑,总体非常不错,后面会再刷👅 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot
💐老师:#团子 🌎区域 #厦门 #湖里区 😦课费: 600p 1200pp 🐱电报: @xxnmtzzz ✏️频道: https://t.me/xxnmtz 🤖双向: ✍️:给老师写报告 第一次来这个小区,感觉位置比较安全。开门看到老师,感觉很可爱,颜值很高,和频道上差的不多。 洗完澡进了房间,团团穿着情趣内衣问我好不好看,喜不喜欢,当然喜欢啦。团团口的很认真,还会看着我,另一只手就一直摸我。房间里面有个大镜子,可以一边做一边看着镜子,这种体验还是很棒的。 团团的性格很不错,不会有让人感到不舒服的地方,颜值身材服务都没的说,值得推荐。 😎聊天群1 : @nenmeixj 😎聊天群2 …
💐老师:#沈佳一 🌎区域 #厦门 #湖里区 😦课费: 700p 1400pp 🐱电报: @sjy7777777 ✏️频道: https://t.me/sjydpd8888 🤖双向: ✍️:给老师写报告 瘦瘦小小一只,可以直接抱起来,但是屁股肉肉软软的很舒服。 服务:虽然是嫩妹但服务完全超预期。大蟒蛇,眼神拉丝,口活熟练深喉了得,差点交货。各种姿势都尝试了下,女上娴熟。 整体评价:会复刷。婷婷太全面了,各位狼友要善待老师hhh 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot
Showing the 12 most recent of 73 posts we hold for @bcyme. 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.
Mentions
Named by 5 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.
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.
@jisou2 · 1,680,2063 posts全国包养萝莉/处女/学妹(广告频道)
@aichibangbangtang28 · 21 post棒棒糖的后花园
@bangbangtang136 · 51 post福州小优的朋友圈
@chulian92 · 301 post福州九元里美
@jiuyuanlimei88 · 2,0161 post绿茶小兽的全家桶
@lcxsdqjt999 · 1,5451 post瑶瑶的后花园
@manmanxiaohuayuan · 3051 post@明就是我
@mmjsw1 · 7591 post厦门福州颜值嫩妹出击群(聊天)
@nenmeixj · 11,3951 post柠檬小屋🛖
@ningmengbao123 · 1,3121 post可爱多的老公们
@oopp09876p · 1,1341 post蛋蛋的家
@QAQdandanw · 7831 post晋江思思(个人自聊)东莞服务系
@Skkkfnacvv · 2811 post08 宝宝
@smbaobao0808 · 7141 post小苹果的家🍎
@xiaopingguo8888888 · 8391 post欣然 大E🐻 白皮 💕
@Xinranbaby1 · 3,5091 post希希小屋🎀
@xixi968888 · 3,0771 post🌈小十一的小房子🏠🎨
@xueer22 · 5631 post福建厦门吖 老师系《个人》频道
@yaavava · 2,2971 post姚姚的后宫🍑
@yaoyaoxiamen01 · 1,2111 post火车站 宝宝
@yeqxingwodinvm · 3091 post语桐个人频道
@yutong112233 · 1361 post张饱饱的老公们
@zbb99999999 · 1,3361 post周小鹿🦌威LOGO家园
@zxljy7788 · 2,3561 post
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@bcyme named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 10 September 2026 – 10 September 2026
named in 1 post, 4 September 2026 – 4 September 2026
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“厦门福州颜值嫩妹老师榜🅢” (@bcyme), 49,864 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/bcyme.
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.