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Channel

厦门福州颜值嫩妹老师榜🅢

@bcyme

2 usernames

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

41,450subscribers

-10,131 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 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live13 November 2026
Measurements held124
Confirmed unchanged1 time, most recently 13 November 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@daiyu998666/294217 Aug 2026, 05:21 UTC@bcyme/3558 · this entry17 Aug 2026, 05:22 UTC1.00under a minute
@daiyu998666/299123 Aug 2026, 16:36 UTC@bcyme/3592 · this entry23 Aug 2026, 16:40 UTC1.004 minutes
@bcyme/3898 · this entry13 Sept 2026, 14:23 UTC@daiyu998666/431613 Oct 2026, 13:36 UTC1.0030 days
@daiyu998666/432513 Oct 2026, 16:22 UTC@bcyme/4802 · this entry13 Oct 2026, 16:24 UTC1.002 minutes
@daiyu998666/439015 Oct 2026, 08:38 UTC@bcyme/4877 · this entry15 Oct 2026, 12:24 UTC1.003.8 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@daiyu9986665 (5/5 hand-verifiable sample passed)1.004 minutes@daiyu998666 (4–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 4 of the 4 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 331 comparable posts for this entry, running 10 August 2026 to 15 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_copy, last confirmed 15 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

41,45051,58146,515.511 August 202613 November 2026
124 measurements spanning 95 days, net -10,131. 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 39,930–53,101 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 124
Measured (UTC)SubscribersChange
13 Nov 2026, 21:5741,450-17
13 Nov 2026, 13:1641,467-247
11 Nov 2026, 03:0641,714no change
11 Nov 2026, 01:5841,714-112
9 Nov 2026, 14:0941,826no change
9 Nov 2026, 13:1841,826-101
8 Nov 2026, 09:0841,927-5
8 Nov 2026, 07:1441,932-107
7 Nov 2026, 07:0042,039-18
6 Nov 2026, 23:1142,057-49
6 Nov 2026, 08:4442,106-97
6 Nov 2026, 02:2742,203-27
5 Nov 2026, 09:3642,230-110
4 Nov 2026, 23:5542,340-407
4 Nov 2026, 05:2742,747-116
4 Nov 2026, 00:4442,863-298
3 Nov 2026, 07:3043,161-251
2 Nov 2026, 22:4843,412-99
2 Nov 2026, 07:3843,511-106
1 Nov 2026, 20:3543,617first reading

Engagement

347 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 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.24%
avg views ÷ 41,450 subscribers
Avg views / post
512
117 posts measured
Reaction rate
0.106%
reactions ÷ views · ER floor
Posts in window
117
of 347 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 13 of 117 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 15 November 2026
Posts held347 (10 August 2026 – 15 November 2026)
Views total59,904
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 03:02 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
≈2,660
Videos
≈533
Links
≈610

Lifetime counters from Telegram’s own channel header, read 15 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.

Video runtime
34m 48s
Average length
10s

Measured directly from 219 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

495 reactions across 61 posts, in 10 distinct kinds. The most used accounts for 15.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7615.4%
💯5811.7%
😍5811.7%
🤩5310.7%
👍5210.5%
🎉5110.3%
🥰5110.3%
❤‍🔥489.70%
🔥469.29%
👏20.404%

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 70 of the 347 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 495 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 347 most recent posts we hold, published 10 August 2026 to 15 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: 0 of 117 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).

15 Nov 2026, 02:17 UTC15 viewsread 15 November 2026
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💐老师:#小苗 🌎区域 #同安区 😦课费: 300p 700pp 🐱电报:@wutuluoli ✏️频道:https://t.me/tacd52000 🤖双向: ✍️:给老师写报告 一进门就看到一个小巧的JK妹子过来相当不错,人照八分吧加了点美颜,有点微胖丰满的很,不过看着不会很显胖,声音也很甜美,在这个物质的厦门,已经是一绝了,价钱也可观才3P也是能接受的范围,这个价位虽然没什么服务不过也是很好的了 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

15 Nov 2026, 01:24 UTC33 viewsread 15 November 2026
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💐老师:#乖乖 🌎区域 #台江区 😦课费: 600p 1200pp 🐱电报:@zzzy123458 ✏️频道:https://t.me/cccc159357 🤖双向: ✍️:给老师写报告 ls很小一只,但是该大的地方大,🐍吻管够,年纪比较小,很主动,但是没什么特别的服务,还需要各位ly多教教,略坦,但是特别听话,甚至可以按头 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

15 Nov 2026, 00:17 UTC44 viewsread 15 November 2026
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💐老师:#可乐 🌎区域 #湖里区 😦课费: 600p 1200pp 🐱电报:@lx66333 ✏️频道:https://t.me/nn121466 🤖双向: ✍️:给老师写报告 上次没约上今天提前跟老师好时间出击,从一进门看到老师就一直硬着,一眼就很喜欢,细腻白净的皮肤很光滑🐻又大又圆从后面抓着太欲了本来打算一p的立马改pp,舌头太软太灵活了我脸上一对大白兔一晃一晃的画面太美不敢看可能是太久没爱爱了要流鼻血了老师的奶头特别敏感轻轻一摸就硬硬的翘起来好可爱,换好几个不同的姿势女上后入完全没问题,躺着腿完全抬起来的姿势太会夹很紧了顶不住了先释放一次,再个喜欢的衣服,穿上老师身材更BBW很配合,性格很好特别开朗聊啥都行像很久的朋友一样特别放松,口活特别有感觉下次在来 。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bo

14 Nov 2026, 03:23 UTC313 viewsread 15 November 2026
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💐老师:#慧慧 🌎区域 #湖里区 😦课费: 600p 1200pp 🐱电报:@yuan0845 ✏️频道:https://t.me/huihui09087 🤖双向: ✍️:给老师写报告 一听妹妹只开了一课,居然要在厦门吃不上饭了,我怎能允许这种事情发生,当时便直接约上,一进门便是一个美丽的面孔映入眼帘,脱了裙子便是一双大长腿再次冲击,枪火已起,便抓紧洗漱,想要快快进入,妹妹也豪不含糊,马上配合,全身敏感,简直就像岛国里的老师一样,一摸就颤抖,但也尽量配合,这娇羞的模样反而让我生出别样的韵味,缓慢的插入,细抿的嘴巴,微皱的眉头,然后亲亲的吻在妹妹的嘴上,找回了年轻的自己当初偷尝禁果的感觉,妹妹的表情仿佛在说“我把一切都给了你,但是最后不是你也没关系!!!” 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

14 Nov 2026, 02:34 UTC188 viewsread 14 November 2026
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💐老师:#芊芊 🌎区域 #翔安区 😦课费: 700p 1400pp 🐱电报:@xmzw88888 ✏️频道:https://t.me/xaxzw888 🤖双向: ✍️:给老师写报告 进门小只站在那,看着OK果断交米,手拉手进入浴室陪洗,洗的很仔细,出来我直接躺在那,开始了服务,口无齿感👍后面写的都有!个人感觉很不错值得cj 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

14 Nov 2026, 01:23 UTC200 viewsread 14 November 2026
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💐老师:#丸子 🌎区域 #湖里区 😦课费: 600p 1200pp 🐱电报:@xmwanzi888 ✏️频道:https://t.me/xmwanzi8888 🤖双向: ✍️:给老师写报告 看到了心仪的老师,必然要品尝一下。约好时间,按时到达,老师指挥上楼后,进门后,看到老师比照片好看,马上交了水费,和老师闲聊了几句后 进浴室 老师帮洗,洗完擦干上床,让老师换上护士服然后开始服务。服务很齐全,舔咪咪,舔蛋蛋,口、🐍、69这些都有,感觉差不多了开始正戏,依旧女上起手,小穴很紧致,包裹感很强,女上时间很足很卖力,老师累了换老师趴在我身上我主动挺腰,边干边🐍,🐍到饱,换了几个姿势,态度很好很配合,最后时间差不多两人也都累了,圆满出水鸣金收兵。良心老师一枚,人照无差,服务齐全,态度好,反馈足。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :

14 Nov 2026, 00:12 UTC195 viewsread 14 November 2026
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💐老师:#喵小糯 🌎区域 #湖里区 😦课费: 800p 1600pp 🐱电报:@mxn881 ✏️频道:https://t.me/mm900111231 🤖双向: ✍️:给老师写报告 来的路上就感觉热血沸腾了,但是一进门发现妹妹竟然要比频道发的照片还要好看,真人看起来更自然,身材颜值超级在线、情绪价值拉满、果断的没有任何犹豫的掏出现金迫不及待的和妹妹开始温存,褪去衣衫一同走如浴室,的手放在我的身上犹如触电般的感觉,一会儿洗澡完毕,一同在床上共赴云雨。把她压在身下看着娇滴滴的在我的下面,充满无尽的征服感,。简直完美视觉。 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

13 Nov 2026, 03:42 UTC189 viewsread 14 November 2026
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💐老师:#果果 🌎区域 #集美区 😦课费: 500p 1000pp 🐱电报:@Baofu16588 ✏️频道:https://t.me/guoguo20018 🤖双向: ✍️:给老师写报告 一见面,感觉很值,老师服务态度很好,提前跟老师说要了丝袜,还帮我洗澡。老师口的很舒服,一点齿感都没有,而且很会口。口完还撸了两下,老师手法真好,把服务都做了,服务中非常用心,然后就是带T上马 换了好几个姿势,老师也没有不耐烦。一开始观音坐莲,后面又是老汉推车,姿势换着做,欣赏着老师的胸,最后传教士搞定。临走时还给了水,拥抱了一下。下次还会返 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

13 Nov 2026, 02:33 UTC93 viewsread 13 November 2026
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💐老师:#玥玥 🌎区域 #集美区 😦课费: 600p 1200pp 🐱电报:@bujcg08 ✏️频道:https://t.me/tusemojz 🤖双向: ✍️:给老师写报告 很久很久没有出击,看到榜上老师的照片,在我审美的点上,果断出击。和老师约好了下午,外面天气很热,到课室整个人还没缓过来。课室环境整体干净整洁,老师特别有礼貌,人照8-9分真,笑起来很甜。简单洗了一下,就在床上开战。由于我太久没做,第一次没两下就交代了,和老师闲聊一会儿,后面第二次和老师换几个姿势。总体下来体验良好,有机会还会再去! 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

13 Nov 2026, 01:23 UTC95 viewsread 13 November 2026
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💐老师:#小米 🌎区域 #丰泽区 😦课费: 500p 1000pp 🐱电报:@ningmeng1069 ✏️频道:https://t.me/qingqing106 🤖双向: ✍️:给老师写报告 身材很哇塞,工作室很高档,妹妹警惕性高,过程很满意 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bot

13 Nov 2026, 00:34 UTC97 viewsread 13 November 2026
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💐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

10 Nov 2026, 03:24 UTC222 viewsread 13 November 2026
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💐老师:#uu 🌎区域 #思明区 😦课费: 700p 1400pp 🐱电报: @shibasuiq ✏️频道:https://t.me/uudpyqq 🤖双向: ✍️:给老师写报告 出击UU,颜值嫩妹。人照无差,五官漂亮,穿着和仪态非常有气质,看着20上下。身高170,体重49,胸B+,乳头小小的非常粉嫩,好看又好摸,圆臀细腰,身材比例优秀。皮肤很白,很小的两块纹身,B粉(能蛇不69,逼不让摸)。口技也不错,上次没吃到,这次一来过段吃一把! 😎聊天群1 : @nenmeixj 😎聊天群2 :@wuhanlyjlh 😎嫩妹榜 :@bcyme 😎上榜客服 :@neimei98bo

Showing the 12 most recent of 347 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.

Posts recorded as deleted after publishing

We recorded 1 post on @bcyme as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
24 August 2026
Most recent seen missing
24 August 2026
Median time before seen missing
41 hours
Seen missing in the last 30 days
0

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 13 November 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), 41,450 subscribers as measured 13 November 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.