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Channel

厦门福州颜值嫩妹老师榜🅢

@bcyme

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

44,330subscribers

-7,251 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
TypeChannel
Usernames@bcyme @sdapp1106
Description聊天群 : https://t.me/wuhanlyjlh 轮播群 : https://t.me/nenmeixj 上榜联系 : @neimei98bot
CreatedBetween 1 October 2025 and 28 February 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live26 October 2026
Measurements held93
Confirmed unchanged1 time, most recently 26 October 2026
On Telegramt.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

44,33051,58147,955.511 August 202626 October 2026
93 measurements spanning 77 days, net -7,251. 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 43,242–52,669 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 93
Measured (UTC)SubscribersChange
26 Oct 2026, 19:2044,330-3
26 Oct 2026, 16:2744,333-114
25 Oct 2026, 20:5144,447-2
25 Oct 2026, 18:5644,449-106
24 Oct 2026, 23:2744,555-2
24 Oct 2026, 22:1644,557-155
24 Oct 2026, 00:1544,712-44
23 Oct 2026, 20:0544,756-64
23 Oct 2026, 01:2144,820-14
22 Oct 2026, 19:1844,834-36
21 Oct 2026, 21:2644,870-10
21 Oct 2026, 16:1544,880-42
20 Oct 2026, 19:2044,922-10
20 Oct 2026, 12:2044,932-28
19 Oct 2026, 18:4944,960-14
19 Oct 2026, 09:2144,974-41
18 Oct 2026, 18:1745,015-16
18 Oct 2026, 12:2645,031-33
17 Oct 2026, 20:3845,064-278
17 Oct 2026, 11:0645,342first reading

Engagement

270 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 155 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.12%
avg views ÷ 44,330 subscribers
Avg views / post
496
125 posts measured
Reaction rate
0.109%
reactions ÷ views · ER floor
Posts in window
125
of 270 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 125 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 26 October 2026
Posts held270 (10 August 2026 – 26 October 2026)
Views total61,958
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 00:02 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
≈2,540
Videos
≈519
Links
≈589

Lifetime counters from Telegram’s own channel header, read 27 October 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
27m 28s
Average length
9s

Measured directly from 175 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

490 reactions across 56 posts, in 10 distinct kinds. The most used accounts for 14.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7114.5%
💯5811.8%
😍5811.8%
🤩5310.8%
👍5210.6%
🎉5110.4%
🥰5110.4%
❤‍🔥489.80%
🔥469.39%
👏20.408%

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 64 of the 270 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 490 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 270 most recent posts we hold, published 10 August 2026 to 26 October 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

26 Oct 2026, 08:55 UTC557 viewsread 27 October 2026
Photo

💐老师:#玥玥 🌎区域 #厦门 #集美区 😦课费:600p 1100pp 🐱电报:@yueyue09188 ✏️频道:@yueyue091 🤖双向: @yueyue09188Bot ✍️: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

26 Oct 2026, 06:27 UTC680 viewsread 27 October 2026
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💐老师:#紫燕 🌎区域 #厦门 #湖里区 😦课费: 500p 900pp 🐱电报:@aa201961 ✏️频道:https://t.me/ning52230 🤖双向: @aa21020Bot ✍️: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

26 Oct 2026, 03:35 UTC758 viewsread 27 October 2026
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💐老师:#小花猫 🌎区域 #湖里区 😦课费: 500p 1000pp 🐱电报:@xmxiaohuamao ✏️频道:https://t.me/xmxiaohuamao520 🤖双向: ✍️:给老师写报告 进门课室就很温馨,小花猫老师很客气。鸳鸯浴时就忍不住给口了下,360度口,立马就硬了。然后用一次性毛巾帮我擦干净,上床,课室氛围好满满。老师皮肤白嫩,纯天然🐻C,两只手都包不住一只🐻乳头也好看,吸起来特别爽。AB面服务的很舒服,还让我撅起来给我吸蛋蛋,真的超级舒服。换了好几个姿势老师都会配合,也没怎么催,服务态度很好。一开始看评价真怕是个雷,结果一出击完,服务态度特别好,反差很大。颜值尚可,身材很…

26 Oct 2026, 02:27 UTC772 viewsread 27 October 2026
Photo

💐老师:#朦朦 🌎区域 #湖里区 😦课费: 700p 1400pp 🐱电报:@doiidnk ✏️频道:https://t.me/+8kK2Z_slJyUwNTM1 🤖双向: ✍️:给老师写报告 我是头课,房间比较干净,一进门就被老师深深的吸引住了,有一种初恋的感觉,坐下抱了一会,老师挺热情的,不会让我很尴尬,后面老师服务的也非常周到,过程中持续关注我的感受,老师也很敏感,让我感受非常舒服非常惬意,做完后也给我洗澡了,坐下聊了一会天没有时间遇到感情清零的感觉,太爱老师下次有机会再来。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bc…

25 Oct 2026, 04:52 UTC790 views1 reactionsread 25 October 2026
Photo

💐老师:#小妈(个人) 🌎区域 #福州 #晋安区 😦课费: 600p 1200pp 🐱电报:@yuanbao2018 ✏️频道:@yuanbaopd 🤖双向: @fzxmbot ✍️:给老师写报告 老师是典型的嫩妹,颜值高,皮肤好,服务3件套没什么好说的。老师细支挂硕果,奶大又苗条,属于是数值怪了,并且柔韧性很好,床上姿势非常配合,只是这个大奶不能OiO很可惜。 已经忘了是第几次去了,至少也有10次,真的很爱,始于大奶忠于颜值。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

❤1

25 Oct 2026, 03:36 UTC833 views1 reactionsread 25 October 2026
Photo

💐老师:#松兔 🌎区域 #厦门 #湖里区 😦课费: 700p 1400pp 🐱电报:@tu2264 ✏️频道:https://t.me/tu2662 🤖双向: ✍️:给老师写报告 松兔老师是典型的嫩妹,颜值高,皮肤好,服务3件套没什么好说的。老师细支挂硕果,奶大又苗条,属于是数值怪了,并且柔韧性很好,床上姿势非常配合,只是这个大奶不能OiO很可惜。 已经忘了是第几次去了,至少也有10次,真的很爱,始于大奶忠于颜值。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

❤1

25 Oct 2026, 02:30 UTC851 viewsread 25 October 2026
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💐老师:#曼波 🌎区域 #厦门 #湖里区 😦课费: 600p 1200pp 🐱电报:@manbo469 ✏️频道:https://t.me/mbb849 🤖双向: ✍️:给老师写报告 按照指示到达教室,推开门就是一张稚嫩的小脸,就知道来对了,和妹妹聊会天就开始鸳鸯浴,洗完澡和妹妹一起来到床上开始调情,她太会了 她真的太会了,那种若即若离的感觉让人上头,慢慢的妹妹就躺到我怀里开始🐍,又软又甜,🐍一会儿就开始口,几下就受不了了 带套开始,没几下妹妹下面就流了好多水,不得不说年轻妹妹就是紧呐,没几下 靠 被秒了,只能下次再战 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

25 Oct 2026, 01:33 UTC899 viewsread 25 October 2026
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💐老师:#芊芊 🌎区域 #厦门 #湖里区 😦课费: 500p 1000pp 🐱电报:@qianqianQAQ ✏️频道:https://t.me/qianqianqwq 🤖双向: ✍️: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

24 Oct 2026, 13:29 UTC412 views0 reactionsread 24 October 2026
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💐老师:#小灵儿 🌎区域 #厦门 #翔安区 😦课费: 400p 700pp 🐱电报:@xianganxiaojiuer ✏️频道:https://t.me/+S9CZ0M_-ySwwZDM1 🤖双向: @xmxlrjqrbot ✍️: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

24 Oct 2026, 02:26 UTC853 viewsread 24 October 2026
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💐老师:#新疆妹妹 🌎区域 #丰泽区 😦课费: 300p 600pp 🐱电报:@Xinjiangmeimei ✏️频道:https://t.me/Xingjiangmeimei 🤖双向: ✍️:给老师写报告 不过分的条件都能满足,在提要求之前,要主动询问,做一个有素质的ly。去之前有了解过其他ly的报告,知道ls是个过京客,初来上海,各位多多关照 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

24 Oct 2026, 01:30 UTC871 views1 reactionsread 24 October 2026
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💐老师:#前妻 🌎区域 #福州 #仓山区 😦课费: 400p 500p 🐱电报:@qianqi2026 ✏️频道:https://t.me/qianqima 🤖双向: ✍️:给老师写报告 整体很不错,这个价位还是比较值的,可以冲 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

❤1

24 Oct 2026, 00:42 UTC864 viewsread 24 October 2026
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💐老师:#雪宝宝 🌎区域 #厦门 #集美区 😦课费: 600p 1200pp 🐱电报:@xbbst66 ✏️频道:https://t.me/yeqxingwodinvm 🤖双向: ✍️:给老师写报告 教室位置方便,小区可以直接进去,刚进门就看到一个身材劲爆的高挑御姐,帮洗后就进入状态了。老师的口技没的说,遇到过的最强舌头,差点就口出来了,赶紧换成后入,进去的时候就感觉又热又紧,腰臀扶起来很有感觉,平时十几分钟才能出来,这次直接一两分钟就顶不住了,绝对好评! 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neim

Showing the 12 most recent of 270 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.

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 26 October 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), 44,330 subscribers as measured 26 October 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.