#普陀 😜老师:小白 😜联系:@xxiaobai8 😜茶费:1200p/2200pp 🏷️#类型:#大胸萝莉 约课备注快乐屋暴击加倍🥳 ———————————————— 😲聊天总群 老师作业 😲上榜联系 总榜单群 😏作业:
Signed 王狗剩-嫩妹杀手🥷

Channel
@xs2002109
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
31,303subscribers
+20,647 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003993214356 |
|---|---|
| Type | Channel |
| Username | @xs2002109 |
| Created | Between 1 April 2026 and 28 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 20 October 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 20 October 2026 |
| On Telegram | t.me/xs2002109 |
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 60% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Oct 2026, 13:51 | 31,303 | +260 |
| 19 Oct 2026, 12:08 | 31,043 | +165 |
| 18 Oct 2026, 10:46 | 30,878 | -750 |
| 17 Oct 2026, 14:07 | 31,628 | +202 |
| 16 Oct 2026, 14:36 | 31,426 | +299 |
| 15 Oct 2026, 11:37 | 31,127 | +109 |
| 14 Oct 2026, 09:36 | 31,018 | +251 |
| 12 Oct 2026, 20:38 | 30,767 | +1,089 |
| 8 Oct 2026, 04:58 | 29,678 | +1,237 |
| 3 Oct 2026, 19:17 | 28,441 | +3,656 |
| 24 Sept 2026, 20:59 | 24,785 | +1,242 |
| 18 Sept 2026, 16:20 | 23,543 | +628 |
| 16 Sept 2026, 05:41 | 22,915 | +371 |
| 14 Sept 2026, 11:01 | 22,544 | +200 |
| 12 Sept 2026, 18:40 | 22,344 | +696 |
| 10 Sept 2026, 16:21 | 21,648 | +1,536 |
| 7 Sept 2026, 11:37 | 20,112 | +902 |
| 4 Sept 2026, 16:40 | 19,210 | +900 |
| 3 Sept 2026, 04:18 | 18,310 | +57 |
| 2 Sept 2026, 03:43 | 18,253 | first reading |
38 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 107 pages of Telegram’s post history, 20 posts per page.
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 12 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 38 (28 July 2026 – 18 October 2026) |
| Views total | 21,557 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Oct 2026, 13:18 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.
Measured directly from 15 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.
45 reactions across 25 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 45 | 100.0% |
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 31 of the 38 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 45 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 28 July 2026 to 18 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.
#普陀 😜老师:小白 😜联系:@xxiaobai8 😜茶费:1200p/2200pp 🏷️#类型:#大胸萝莉 约课备注快乐屋暴击加倍🥳 ———————————————— 😲聊天总群 老师作业 😲上榜联系 总榜单群 😏作业:
Signed 王狗剩-嫩妹杀手🥷
#嘉定 😜老师:cc 😜联系:@cc0809cc 😜茶费:1100p/2000pp 🏷类型: #嫩妹 约课备注快乐屋暴击加倍🥳 ———————————————— 😲聊天总群 老师作业 😲上榜联系 总榜单群 😏作业:【好评1】【好评2】 【好评3】【好评4】 【好评5】 【好评6】
❤1
Signed 王狗剩
店名:#春风阁 坐标:#普陀 价格:#498元 类型:#4T 双飞➕300 60分钟不限次 ‹ 😃😃 😀😃 📱📱 📱📱 › 😎 春风阁高端私密会所 😎 🫥高端会所 🫥私密会所 🫥情景定制 🀄服务项目 🀄 😂莞式十八式激情服务😂 🔴鸳鸯戏水🔴泡沫风情🔴风情按摩 🟢指尖漫游🟢波涛汹涌🟢臀臀欲动 🔴蜻蜓点水🔴过水漫游🔴舌尖漫游 🟢花式毒龙🟢海底捞月🟢跪式吹箫 ➡主题角色扮演道具服装 ➡翻云覆雨配合多种姿势 🔥依您的喜好和需求为您做专属的私人定制,满足男性所有不同需求! 🔥每个项目都有小剧情,有开头、高潮、结尾、余温。等专属场景! 🔥环境私密舒适 ,绝对给您带来飞一般的体验! 💎不收定金 💎 靠谱预约 💎到店消费 ✔ 保护…
❤1
Signed 王狗剩
坐标 #浦东 #虹口 #杨浦 价格 #598 类型 #海选全果4T #又是海选加全果 😀😀 浦东最大😠📱全裸4T😀😀😀 全场😶🌫️😶🌫️后 主打全场高颜值嫩妹 原价798 现活动价:😀😀:🙃🤓😟 😀👍➕🥹😒😒一龙二凤双倍快乐 为回馈新老客户 本店推出大型优惠活动如下🥰 😓.三人行优惠😉🙃🙃 😶.四人同行优惠😌🙃🙃 🫤.五人同行免单一位 服务时间60分钟出水不限次数 🍒营业时间:12:00-2:00 🥹出勤20➕位佳丽 T台大选 各种款式我们都有 🥹不定时➕新人,欢迎哥哥们前来,给你不一样的极致体验 🤨🤨🤨🤨🤨🤨服务如下👇 性感熊滑🐣嫦娥之吻🐣波涛汹涌🐣 蚂蚁上树🐣水晶之恋🐣可毒🐉🐣 日式调情🐣双飞姐妹🐣猴子偷桃🐣 大海选4推🐣可亲可摸🐣上下可摸🐣 QQ:3932457601 小何☎️:18901646814(同微) 😄小何客服: @ddlt668 店铺频道 @WH8990
❤1
Signed 王狗剩
#闵行 ❤️🔥老师:栗欢欢 ❤️🔥联系:@TianZai1 ❤️🔥茶费:800p/1400pp 🏷类型: #嫩妹 约课备注快乐屋暴击加倍🥳 ———————————————— 😲聊天总群 老师作业 😲上榜联系 总榜单群 😏作业:【好评1】【好评2】 【好评3】
Signed 王狗剩
【极致欢愉】 换装剧情spa. ⭐ 主人~来极致欢愉spa私密馆,让骚浪极品女仆跪在你面前侍奉 ! ⭐ 在这里,黑丝、短裙、娇喘、湿滑小手……全部为您敞开,榨干你的每一滴~ ⭐ 799元 · 60分钟 极致榨精服务 ⭐ (导航):点击>>观看 (服务流程) :点击 >> 观看 https://t.me/xnlspahhh/41 (预约流程) : 1️⃣ 店内常驻金牌技师3-4位,兼职主播模特5位以上随叫随到可选到满意。 2️⃣ 预约好时间后可到店选人,也可线上指定技师,因为保证服务质量,一小时20分钟一位,所以请提前预约时间安排房间。 🍎【兼职可加联系方式可私约】 房间私密安全氛围极佳,单独房间配置独立卫浴和浴缸 🛁 上海店 : ❤️ 普陀、浦东、闵行、徐汇、虹口、青浦 ❤️杭州苏州 ❗ 【注意】❗:无任何类型的会员卡,充值卡,次数卡。 🌷 预约客服 : @nacney ⭐ 双向机器人: @xn…
❤2
Signed 王狗剩
版主认证推荐🤕📱📱📱📱📱😠📱 价格:#498元 类型:#亚新海选 😢营业时间 中午12:00-凌晨3:00 十多年老店放心消费有东西懂得都懂 五星装修 两千多平大店 环境好 全场大海选模式 每天出勤保持在38位左右,在岗类别有 洋马 05后姐妹花 网红 车模 商K下海 俄罗斯 兼职 教室 护士 御姐等等 (每次进店报“白沙”可享受以下优惠) 两人行 老带新立减200 2️⃣.三人团最高优惠300 3️⃣.四人同行最高优惠400 4️⃣.五人同行直接免一单 5️⃣.累记到店满五次可享受400优惠 ⤴ 白沙海选: @kkhh699 @WG831 ⤴️店内实时更新频道: @xkh001 聊天探讨抽奖群:@hhk988 白沙电话:18616722072同微 QQ:2946191847 😢😢服务介绍 🎊丝足骑士💢过水毒龙💓 💡制服诱惑🎆撕扯丝袜⤴🐍吻 颜社 剧情吞蛋 吸皮…
Signed 王狗剩
#普陀 ❤️老师:土豆 ❤️联系:@xisliop ❤️茶费:1000p/1800pp 🏷类型:#c奶 #大胸嫩妹 约课备注快乐屋暴击加倍🥳 ———————————————— 😲聊天总群 老师作业 😲上榜联系 总榜单群
❤1
Signed 王狗剩
#闵行 ❤️老师:D宝 ❤️联系:@aiqingmaimsi ❤️茶费:800p/1500pp 🏷类型:#E奶 #大胸嫩妹 约课备注快乐屋暴击加倍🥳 ———————————————— 😲聊天总群 老师作业 😲上榜联系 总榜单群
❤1
Signed 王狗剩
❤️❤️上海各地区有,🉑上门,🈶地方,#00后 #学生 #少妇 #年轻学妹 #气质御姐 #空乘空姐 #SM #包天伴游 #处女 #网红 #明星 #演员 #主播 小妹听话,应有尽有,明码标价无套路,见面满意后付, 💸平价修车2-3k/pp 💸高端修车2500/p起 #上海外围 #上海上门 📣打开相册,覆盖上海全区中圈大圈所在区域,选好小妹(名称或者编号发:客服 🎬上海平价频道:https://t.me/+WxPfiBlFeOE0ODM1 🎬上海高端频道:https://t.me/+y5f10S30bsY4MWU1 🚀客服: @xiaomiww000 📱双向:@xiaomiww_bot ❤️❤️上海优惠力度最大,诚意满满,一对一用心服务,选择我让你少走弯路 #浦东 #静安 #黄浦 #普陀 #闵行 #徐汇 #嘉定 #宝山 #松江 #长宁 #杨浦 #虹口
❤1
Signed 王狗剩
📣分类目录 按地区、 静安: 叮叮猫8p UU8p 小泡芙12p 小猫咪10p —————————————— 嘉定:娜娜5p 赫连7p 饱饱10p 妍妍10p 念安然8p —————————————— 宝山:汤圆8p 6610p 大锤12p 优乐美6p 慧慧8p —————————————— 杨浦:哈哈3p 伊伊3p 浩然4t —————————————— 普陀:小软10p 颜如玉10p 茜茜10p 娇娇日式泡泡浴 小晗10p 梦琪10p 兔兔10p 云云8p ————————————— 长宁:蔡萝莉10p 瑶瑶12p amy15p 小熊酱15p —————————————— 闵行:夹妮8p 云栖10p 可乐7p 欣欣10p 贝贝7p 卡布6p 甜甜9p ——————————————— 浦东:粥粥12p 安娜6p 欧欧8p 燕子6p 唐镇4p(快餐) 冉冉6p —————…
❤4
Signed 八个铁肾
#松江九亭 ❤️🔥老师:茶茶 ❤️🔥联系:@tutu200412 ❤️🔥茶费:1100p/1800pp 🏷类型:#嫩妹 #台妹 约课注快乐屋暴击加倍🥳 —————————————— 😲 聊天总群 老师作业 😲 上榜联系 总榜单群 😏作业:
Signed 王狗剩
Showing the 12 most recent of 38 posts we hold for @xs2002109. 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.
@xs2002109 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 17 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.
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.
@xs2002109 named 1 handle 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 20 October 2026 — this entry's latest reading, not the date you are reading this.
“上海快乐屋榜单” (@xs2002109), 31,303 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/xs2002109.
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.