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Channel

厦门福州天上人间公开榜🅥

@daiyu998666

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

28,452subscribers

-5,150 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-1002526773769
TypeChannel
Username@daiyu998666
Description交流群:https://t.me/xmkk88888888 上榜联系客服: @tianshi88bot
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/daiyu998666

Topic

Other / unclassifiable — 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 77% 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

28,37333,83831,105.528,4527 August 20268 November 2026
61 measurements spanning 92 days, net -5,150. 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 27,553–34,658 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
8 Nov 2026, 01:0728,452-484
6 Nov 2026, 20:5928,936-571
5 Nov 2026, 23:4729,507-740
4 Nov 2026, 21:3430,247-998
4 Nov 2026, 00:3631,245-533
2 Nov 2026, 23:5631,778-131
2 Nov 2026, 02:4831,909-31
1 Nov 2026, 02:0031,940-85
30 Oct 2026, 23:1532,025-50
30 Oct 2026, 02:2932,075-86
29 Oct 2026, 03:3132,161-132
28 Oct 2026, 01:0832,293-121
27 Oct 2026, 00:1132,414-84
25 Oct 2026, 22:4632,498-91
24 Oct 2026, 19:1832,589-224
23 Oct 2026, 21:3532,813-85
22 Oct 2026, 17:5832,898-181
21 Oct 2026, 14:0133,079-62
20 Oct 2026, 13:5033,141-74
19 Oct 2026, 10:4933,215first reading

Engagement

319 posts held, back to 5 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 167 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.96%
avg views ÷ 28,452 subscribers
Avg views / post
557
136 posts measured
Reaction rate
0.122%
reactions ÷ views · ER floor
Posts in window
136
of 319 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 18 of 136 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 8 November 2026
Posts held319 (5 August 2026 – 8 November 2026)
Views total75,753
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 09:41 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
≈1,990
Videos
≈483
Links
≈299

Lifetime counters from Telegram’s own channel header, read 8 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 45s
Average length
10s

Measured directly from 215 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

1,144 reactions across 94 posts, in 10 distinct kinds. The most used accounts for 14.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤16214.2%
🎉13611.9%
🔥12911.3%
😍12611.0%
👍12510.9%
❤‍🔥12310.8%
🤩11710.2%
💯11610.1%
🥰1099.53%
👎10.087%

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 105 of the 319 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 1,144 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 319 most recent posts we hold, published 5 August 2026 to 8 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 136 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).

8 Nov 2026, 08:37 UTC44 viewsread 8 November 2026
Photo

😊艺名:#安琪拉 📍地区:#厦门 #湖里区 📱私聊:@baiyunanqilai 📱双向:@anqiladebot 🖥频道:https://t.me/anqiladexiaowo 💸课费: 700P 1300PP 📫学生报告 🏠天使交流 📫天使频道 👍上榜联系

8 Nov 2026, 03:22 UTC127 viewsread 8 November 2026
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😊艺名:#小苗 📍地区:#厦门 #同安区 📱私聊:@wutuluoli 📱双向: 🖥频道:https://t.me/tacd52000 💸课费: 300P 700PP 📫学生报告 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 🏠天使交流 📫天使频道 👍上榜联系

8 Nov 2026, 02:32 UTC134 viewsread 8 November 2026
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😊艺名:#宁乐 📍地区:#厦门 #思明区 📱私聊:@qeasy23 📱双向: 🖥频道:https://t.me/ejdjdppx 💸课费: 700p 1400pp 📫学生报告 🏠天使交流 📫天使频道 👍上榜联系

8 Nov 2026, 01:22 UTC153 viewsread 8 November 2026
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😊艺名:#小土豆 📍地区:#厦门 #湖里区 📱私聊:@xmtudou1 📱双向: 🖥频道:https://t.me/xmtudou520 💸课费:600p 1200pp 📫学生报告 第一次约到,坐车之前心跳就非常快。一进门看到老师之后心率检测一直在130左右,导致下体充血不足,就直接被口出来了。老师身材直接给到夯爆了,一口一个宝宝叫的人心里麻麻的,奈何状态不行。做完后还换了一条性感的丝袜,出门了给了一个抱抱。总之长相没话说,很漂亮,照片是本人,服务就是课表上的,情绪价值还是给到位了,像学生,比较青涩,体验完全不一样,后劲很大。等下次状态好了一定还要再来 🏠天使交流 📫天使频道 👍上榜联系

7 Nov 2026, 03:23 UTC337 views0 reactionsread 7 November 2026
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😊艺名:#木喜 📍地区:#泉州 #晋江区 📱私聊:@td12385 📱双向: 🖥频道:https://t.me/xixi98986 💸课费:500p 1000pp 📫学生报告 🏠天使交流 📫天使频道 👍上榜联系

7 Nov 2026, 02:25 UTC297 viewsread 7 November 2026
Photo

😊艺名:#韩宝宝 📍地区:#厦门 #思明区 📱私聊:@hanbaobao0123 📱双向: 🖥频道: https://t.me/hanbaobao0001 💸课费:500p 1000pp 📫学生报告 上次约后小半个月今天又睡不着,就约了。在韩姐这已经久经沙场了,陪浴洗的非常仔细。浴罢,入房,穿情趣丝袜,b面服务完,我已坚硬如铁。69的时候感觉她已水漫金山。各种姿势123后顺利出水。 🏠天使交流 📫天使频道 👍上榜联系

7 Nov 2026, 01:31 UTC277 viewsread 7 November 2026
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😊艺名:#逸淑 📍地区:#厦门 #湖里区 📱私聊:@yi_shu_1024 📱双向: 🖥频道:https://t.me/+nc5uEcI8ff5kNTFl 💸课费:600p 1200pp 📫学生报告 听群友好评去的,果然没有失望,老师住高档小区 房间干净,帮洗很认真,交代老师放缓节奏 一点没矫情 从我背开始亲 舔到屁股,大腿,脚面,中间带过菊花。我以为毒龙就这样了呢,结果让我跪起来我才知道 才开始。这一番神舔 菊花要爽飞了哈哈 翻过来正面的时候 还把我两条腿抬起来 她趴在下面双手托着我屁股 又来了一遍毒龙 真的是太顶了 从来没有老师毒的这么认真彻底 口二弟就不用说了 个人觉得对逸淑来说 就是手到擒来的事儿 好在本人有些坚挺 不然真的很容易被她口射 逸淑老师奶子很白 腿也白 脚也白 个子高 武功高 认知也高 结束后聊天的时候 发现她还挺有文化 很满意的一次出击 会复购 🏠天使交流 📫天使频道 👍上榜联系

7 Nov 2026, 00:11 UTC287 viewsread 7 November 2026
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😊艺名:#喵喵 📍地区:#厦门 #思明区 📱私聊:@Zo2314 📱双向: 🖥频道:https://t.me/mm2468 💸课费:600p 1200pp 📫学生报告 进了小区很有礼貌迎接,感觉有混血的样子,皮肤很滑语气很温柔。先鸳鸯浴,然后帮擦干,换上了护士服,开始做AB面,亲全身,一下DD就有感觉,带上小伞,换了几个姿势,受不了就射了,服务很好,做完帮洗,愉快的体验。 🏠天使交流 📫天使频道 👍上榜联系

6 Nov 2026, 09:32 UTC234 viewsread 6 November 2026
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😊艺名:#琪琪 📍地区:#福州 📱私聊:@zms72z 📱双向:@o3sjb_bot 🖥频道:@m87szzz 💸课费:700p 1300pp 📫学生报告 🏠天使交流 📫天使频道 👍上榜联系

6 Nov 2026, 03:24 UTC307 viewsread 6 November 2026
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😊艺名:#宝宝 📍地区:#厦门 #湖里区 📱私聊:@baobao55669 📱双向: 🖥频道:https://t.me/xiaonan9952 💸课费:600p 1200pp 📫学生报告 和宝宝老师约好时间,地方很好找 也很方便。教室很好也很整洁,第一眼看到老师就很喜欢直接交了水费,呆系妹妹,拿拖鞋拿水然后引导去房间,有帮洗,态度挺好的。洗完澡,我躺在床上老师就开始服务,课表上的服务都有,我直接选择进入正题,戴上套子开始啪啪啪,老师下面好紧,叫声也好听,后入123出货,体验非常满意,多的不说,润。 🏠天使交流 📫天使频道 👍上榜联系

6 Nov 2026, 02:31 UTC306 viewsread 6 November 2026
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😊艺名:#苏念一 📍地区:#厦门 #湖里区 📱私聊:@ymmm1212 📱双向: 🖥频道:https://t.me/sunianyi888 💸课费:700p 1400pp 📫学生报告 按照老师指示走老师给开门,一看见老师身材都惊讶了,尤其是这个臀部太吸引人了,都忍不住,赶紧去洗澡,老师帮洗,完事老师开始服务,服务过程很好很细,我直接让老师帮我戴上,老师在下我在上,没几下就要忍不住了,我还是在忍忍准备后入,后入视角堪称完美,太哇塞了,这个腰臀比真的好,真是坚持不住了直接交枪了,太舒服了,老师服务超级棒,还会再来,兄弟们值得一试,不踩雷 🏠天使交流 📫天使频道 👍上榜联系

6 Nov 2026, 00:31 UTC319 viewsread 6 November 2026
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😊艺名:#娜娜 📍地区:#厦门 #集美区 📱私聊:@nanas5128 📱双向: 🖥频道:https://t.me/nanatgjde1234 💸课费:500p 1000pp 📫学生报告 临时约的娜娜老师,人照八九成。进门坐下抽支烟,简单聊了几句就去洗澡,很细心。然让后上床,大白兔在我的身上游荡,老师一边按摩一边娇喘,吸皮过水非常爽,然后灵活的小舌头进攻菊花,同样非常爽。含水口也是很舒服,之后开始正戏,老师又吸又夹,老师体力不错,配合着我进攻的节奏。1p结束,老师给按摩一下,休息一会转战沙发开始第二次,过程不再赘述,同样爽爽出水。结束赶上吃饭时间,还和老师一起吃了外卖,哈哈哈哈哈 很不错的一次体会,有时间会再出击 🏠天使交流 📫天使频道 👍上榜联系

Showing the 12 most recent of 319 posts we hold for @daiyu998666. 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 2 posts on @daiyu998666 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
15 August 2026
Most recent seen missing
25 October 2026
Median time before seen missing
12 hours
Seen missing in the last 30 days
1

Mentions

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

“厦门福州天上人间公开榜🅥” (@daiyu998666), 28,452 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/daiyu998666.

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.