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Channel
上海会所榜单 | 喜茶
@xichahuisuo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
10,381subscribers
+2,746 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002369643977 |
|---|---|
| Type | Channel |
| Usernames | @xichahssh @xichahuisuo |
| Description | 喜茶会所榜单,收录上海靠谱的会所信息~ 👤 唯一管理: @chazong_bot 🤖 作业投稿: @teafeedback_bot ——————————— ☘️ 喜茶 • 榜单结构 茶友群: @xichacysh 老师总榜: @xichalssh 实时推荐榜: @xichatjsh 作业报告: @xichabgsh 福利: @xichafuli 导航: @xichash 👉 一键关注喜茶: https://t.me/addlist/nxXTldS_Fxo2ZGE1 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/xichahuisuo |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 21:16 | 10,381 | +8 |
| 5 Nov 2026, 16:59 | 10,373 | +25 |
| 4 Nov 2026, 23:28 | 10,348 | +2 |
| 4 Nov 2026, 18:20 | 10,346 | +21 |
| 4 Nov 2026, 02:51 | 10,325 | -3 |
| 3 Nov 2026, 20:58 | 10,328 | +24 |
| 2 Nov 2026, 23:25 | 10,304 | +2 |
| 2 Nov 2026, 21:36 | 10,302 | +33 |
| 2 Nov 2026, 02:08 | 10,269 | +9 |
| 1 Nov 2026, 20:45 | 10,260 | +26 |
| 31 Oct 2026, 22:38 | 10,234 | no change |
| 31 Oct 2026, 22:08 | 10,234 | +40 |
| 31 Oct 2026, 01:08 | 10,194 | -2 |
| 30 Oct 2026, 21:38 | 10,196 | +35 |
| 30 Oct 2026, 01:26 | 10,161 | +4 |
| 29 Oct 2026, 19:30 | 10,157 | +33 |
| 28 Oct 2026, 22:09 | 10,124 | no change |
| 28 Oct 2026, 20:55 | 10,124 | +33 |
| 27 Oct 2026, 21:21 | 10,091 | -2 |
| 27 Oct 2026, 20:27 | 10,093 | first reading |
Engagement
18 posts held, back to 4 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 28 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.00%
- avg views ÷ 10,381 subscribers
- Avg views / post
- 727
- 5 posts measured
- Reaction rate
- 0.241%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 18 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 3 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 18 (4 August 2026 – 5 November 2026) |
| Views total | 3,635 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 08:47 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
- ≈1,590
- Videos
- ≈451
- Links
- ≈176
Lifetime counters from Telegram’s own channel header, read 6 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
- 1m 37s
- 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
23 reactions across 11 posts, in 2 distinct kinds. The most used accounts for 95.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 95.7% | |
| 🔥 | 1 | 4.35% |
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 12 of the 18 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 4 August 2026 to 5 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 5 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).
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📍#上海 #黄浦 #徐汇 #长宁 #静安 #普陀 #虹口 #杨浦 #闵行 #宝山 #嘉定 #浦东 #金山 #松江 #青浦 #奉贤 #崇明 , 😻如梦似幻 🍑似真似假 😻在巅峰处颤抖 🍑在云端里坠落 🤝满意在消费 🍑舒爽在灵魂 🈚️ 各种附加费 🍑只有一次到位的爽快 🌟 别让生活磨平了棱角 😮让我在水里磨平你的焦躁 😅快乐不等人,行乐要趁早 🌟 (个人娱乐天花板,一次spa,让你记一辈子 🤝顶级私享 👍) 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 #上海spa #上海2T #上海4T 🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣🔣 风再大,诚意不减;雨再急,热情不灭。🌬💦 让您舒服,是我们始终放在心里的事。❤️ 服务多样,手法专业,只为给您更贴心的解压体验。💆♂️✨ 记得提前预约哦~📅 预约通道优先安排,空降的贵宾也请先联系确认。您的舒心,从预约开始。🗝 📱📱📱📱📱 上海spa 认准衣哥。💃💃💃❤️ 😀联系人工客服:…
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😄😃😃😄 😼认证商家 🙃📱📱📱📱 ➡️😠🤓🥰 🙃每日出勤😀😀➡️😀😀😓 🙃📱📱 😣😶🤗📱📱 😀 🙃😩 😖 🫥 🤔 📱📱📱📱📱 🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️ 🥵🥵🥵🥵🥵🥵 😄预约号:@wqx177 😄群组号:@wqx666 😄反馈号:@wqx765 📍 #闵行 #徐汇 #浦东💃 😀 限时特价6️⃣6️⃣8️⃣🥿 🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️🀄️ 😏无T👄😏鸳鸯浴😏毒🐲 😏深🐒 😏颜射 😏水磨 😏胸推 😏臀推 😏阴推 😏⛰通 😏🐍吻 😏P❤️ 😏全裸陪浴 😏艳舞调情 😏玉女磨身 😏奶柔磨根 😏定制SM 😏特色剧情AV ———————————————— 👩❤️👨剧情演绎80款(自选剧本) 🍒年轻妻子🆚无能丈夫 …
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Showing the 12 most recent of 18 posts we hold for @xichahuisuo. 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 42 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@jinqiaolulu386 · 4052 posts浦东小骚货的福利频道
@saosaoXZMLY · 602 posts欣欣后宫
@wxinh456 · 1662 posts浦东三林笑笑
@xiaoxiao5672 · 1,2262 posts上海【喜茶】实时推荐榜
@xichatjsh · 11,8212 posts浦东三林迪迪频道
@didishanghai · 931 post🍂静香
@jingxia86 · 2201 post小y的日常
@Lbs642497 · 661 post抓龙筋💓茱莉亚💓心动小窝🏠
@linglingZLJ · 2281 post夕颜
@maoer10 · 1341 post💖沐瑶🉐㊙️㊙️天地❤️
@muyaobaby520 · 1581 post台湾奶茶精品屋
@naichameimei01 · 1941 post奶艾斯大白兔
@naisit1 · 5931 post书婉真爱粉TV
@Rrnc45MjVl · 1,1601 post十一的小满屋
@shiyi_s1 · 2601 post韩冰雨的快乐小屋🛖
@tiantian990909 · 2911 post新人浦东豪华工作室
@xh97562 · 4311 post上海【喜茶】广播站
@xichash · 12,7881 post馨儿小屋
@xinee0 · 621 post晓晓的日常
@xq11334466 · 921 post浦东云朵的个人简介
@yunduogr · 551 post全国莞式全套会所
@yuxiyand · 11 post欣怡的朋友圈
@zai_xiao · 501 post
Names
Channels on the register whose handles appear in this channel's posts.
@siky1314 · 11,2872 posts上海如梦修车海选课室💦
@wqx666 · 12,8402 posts上海安琪抓龙筋选妃频道
@anqixuanfei · 2,9251 post上海全果海选交流群
@aspa006 · 3,0521 post👑【上海高端推油总汇】👑
@CJG9527 · 35,9891 post上海高端技师照片
@DF5598L · 1,4801 post2D{二次元嫩模}全类型
@ecy98zx · 1,1901 post狼友反馈
@hslypj · 1,0511 post上海Spa大众点评榜
@JXG168 · 2,4001 post上海「 丝足阁 」-榜
@Ks253 · 11,9051 post上海修车海选SPA魔都推油指南
@mlshhxspa · 8,3351 post上海魔都美女推油海选SPA会所指南总频道
@mlshspa · 10,0231 post上海夜宴{制服海选店}
@mozu7890 · 3,6181 postTG首选🎀少萝俱乐部【全类型·直营】
@Nancidj · 5,1751 post红姐🍷外围(上海)
@shanghaihongjie11 · 10,8111 post红姐🍷中圈 上海外围
@shanghaililjie · 8891 post上海高端全果推油6T聊天群
@shty9527 · 27,5101 post上海推油/上海spa—海选甄选(认准衣哥)
@tyspash2 · 5401 post魔都浦东技师总览
@WH8990 · 4,4771 post少女污·情景演绎·❾❽海选
@ws2678 · 9,9071 post上海浦东修车交流群
@wwhs990 · 4,4861 post◆ 探索伊甸园 ◆
@xh2311 · 17,1441 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@xichahuisuo 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.
Evidenced gone
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.
named in 4 posts, 15 August 2026 – 23 August 2026 · confirmed gone 16 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“上海会所榜单 | 喜茶” (@xichahuisuo), 10,381 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/xichahuisuo.
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.