Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7685780650

Channel
厦门夜香园个人公开榜
@tsts529
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
21,004subscribers
+404 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 | -1002416391964 |
|---|---|
| Type | Channel |
| Username | @tsts529 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/tsts529 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 |
|---|---|---|
| 18 Sept 2026, 14:20 | 21,004 | -30 |
| 16 Sept 2026, 06:16 | 21,034 | -18 |
| 14 Sept 2026, 15:57 | 21,052 | -1 |
| 13 Sept 2026, 05:00 | 21,053 | -109 |
| 11 Sept 2026, 07:59 | 21,162 | -17 |
| 8 Sept 2026, 13:18 | 21,179 | +92 |
| 5 Sept 2026, 04:41 | 21,087 | +38 |
| 3 Sept 2026, 10:12 | 21,049 | +9 |
| 2 Sept 2026, 05:23 | 21,040 | +10 |
| 1 Sept 2026, 03:07 | 21,030 | +21 |
| 31 Aug 2026, 01:18 | 21,009 | +19 |
| 30 Aug 2026, 02:13 | 20,990 | -37 |
| 29 Aug 2026, 00:34 | 21,027 | +31 |
| 28 Aug 2026, 03:28 | 20,996 | +44 |
| 27 Aug 2026, 01:26 | 20,952 | +21 |
| 26 Aug 2026, 02:56 | 20,931 | +42 |
| 25 Aug 2026, 04:13 | 20,889 | -8 |
| 23 Aug 2026, 23:46 | 20,897 | -13 |
| 22 Aug 2026, 07:45 | 20,910 | +32 |
| 20 Aug 2026, 20:33 | 20,878 | first reading |
Engagement
24 posts held, back to 28 July 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.10%
- avg views ÷ 21,004 subscribers
- Avg views / post
- 861
- 5 posts measured
- Reaction rate
- 0.254%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 24 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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 24 (28 July 2026 – 28 August 2026) |
| Views total | 4,307 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 17:22 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
- Video runtime
- 1m 41s
- Average length
- 9s
Measured directly from 11 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
51 reactions across 23 posts, in 4 distinct kinds. The most used accounts for 43.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 43.1% | |
| 🥰 | 20 | 39.2% | |
| 🔥 | 6 | 11.8% | |
| 👍 | 3 | 5.88% |
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 23 of the 24 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 51 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 28 July 2026 to 28 August 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
#湖里区 #莉莉 04年 身高167 体重48kg 天然E 🐻 内衣模特 一次服务 #七张 无包时 无上门 无过夜❗️ 服务 :帮洗 🛀 舔🐻,全身过水,吹箫,舔🥚,🐻推,爱爱,蛇吻(干净无异味,漱口后可以) 提前预约 @dghthh 频道 https://t.me/gmjyhjtft
🥰1
#思明区 #妹儿 #已认证 💸价格:8P —16PP 💬资料: 年龄22 身高168 体重49KG B真胸 🚀联系: @bfgnhmr 👀频道: https://t.me/thtyjtujyu 服务:裸口、陪浴🛀、三点亲、🈶舌吻 69 制服jk、情趣、肉白黑丝各类齐全 🉑口爆 毒龙 各种服务都可以做
❤2
#湖里区 #婷婷 #已认证 💸价格:8P —16PP 💬资料: 年龄03 身高168 体重46KG 36D真胸 🚀联系: @gthbynt 👀频道: https://t.me/ghgnrht #服务:亲嘴、无套口、吸蛋、口爆、水中萧、鸳鸯浴
🥰2🔥1
#集美区 #怡宝 #已认证 💸价格:8P —16Pp 💬资料: 年龄28 身高165 体重52KG 36D真胸 🚀联系: @luikyuk 👀频道: https://t.me/kyukyklh 服务:舌吻 陪浴 水中萧 吹箫 69 按摩 调情 角色扮演(萝莉 女仆 被侵犯主题)丝袜 高度配合爱爱
🥰2🔥1
#集美区 #依依 #已认证 💸价格:8P —16PP 💬资料: 年龄01 身高165 体重47KG 🐻C 🚀联系:@tevy59 👀频道: https://t.me/vfbkdngn 服务项目:陪💦 69 接吻 口 调情 丝袜制服诱惑 会吹会夹
❤2🔥1
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7685780650
🔥1
#湖里区 #瑶瑶 #已认证 💸价格:3P —6PP 💬资料: 年龄23 身高160 体重46KG 🐻B 🚀联系: @mklonpg 👀频道: https://t.me/ysxxov3699 鸳鸯浴 无🍑吹 调情(水超多)丝袜诱惑 爱爱姿势配合 不催 颜值身材在线
❤2🔥1
#思明区 #雪儿 #已认证 💸价格:5P —10PP 💬资料: 年龄27 身高167 体重55KG 🐻36E 🚀联系: @ukyuktu 👀频道: https://t.me/kyklyjuk 服务🈶: 真舌毒龙🐉、👅AB两面、制服诱惑、丝足、足🦶交、丝袜🦵高跟👠、舌🐍吻、69、乳胶、)
❤5🔥1
#湖里区 #白雪 #已认证 💸价格:600P —1200PP 💬资料: 年龄27 身高167 体重48KG 🐻大E 🚀联系: @sk108s 👀频道: https://t.me/gdjdj10 👅舔蛋蛋 调情 69 🉑🐉 亲亲 口爆 戴套爱爱🫦 各种丝袜制服情趣内衣👙 各种姿势配合 诱惑无限
🥰3❤2
#集美区 #小景 #已认证 💸价格:800P —1600PP 💬资料: 年龄01 身高162 体重46KG 🐻36C 🚀联系:@ilyuilyik 👀频道: https://t.me/kyukykyui 服务🈶:kiss,无套口 ,鸳鸯浴 丝袜诱惑 制服诱惑任意姿势 其他有需要的服务问我能不能做
🥰2
#集美区 #优乐美 #已认证 💸价格:800P —1600PP 💬资料: 年龄25 身高166 体重58KG 🐻大E 🚀联系: @hryhrjy 👀频道: https://t.me/ryhrthryh 服务:助浴,裸吹,调情,69,指滑 丝袜,制服,深喉,口爆,aiai
🥰1
Showing the 12 most recent of 24 posts we hold for @tsts529. 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
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,747,9803 posts婷婷个人
@ghgnrht · 231 post丽丽个人东莞服务系
@gmjyhjtft · 261 post湖里区小叮当
@jjddhnvbyy · 541 post石狮大G波霸38G真胸
@jmtyjyh · 3961 post全国莞式全套会所
@jtyjtyjj6uk · 21 post湖里区万达懒洋洋
@jtyjtyjtk · 311 post思明区雪儿老师个人自聊
@kyklyjuk · 391 post集美区怡宝个人开课
@kyukyklh · 61 post厦门小景萝莉老师
@kyukykyui · 131 post厦门西西老师服务系
@mtjtujtuj · 171 post晋江大G丰满服务系
@muyjtuujt · 441 post集美区南溪个人自聊
@ngntggt · 351 post湖里区包子
@rhetgettgg · 171 post丰泽区一诺个人老师
@ryhrthryh · 491 post泉州-小悦可✌🏻可上🚪
@thtyjtujyu · 251 post石狮巨乳#前列腺保养
@tyjntjnrh · 201 post全国莞式全套会所
@ujtyjtyjy · 11 post厦门集美区依依个人老师
@vfbkdngn · 401 post厦门温柔大E服务系
@yrhtjuj · 581 post泉州晋江石狮【瑶瑶个人】
@ysxxov3699 · 3,1661 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“厦门夜香园个人公开榜” (@tsts529), 21,004 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/tsts529.
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.