#嬛嬛 ✅视频认证 (点击查看) #浦东 耀华小区 >> 📍看距离 联系她: @嬛嬛 (报喜茶进会员群) #千元内 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】

Channel
上海【喜茶】榜单 (中转)
@xichalsshzz
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
9,413subscribers
+111 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002260323549 |
|---|---|
| Type | Channel |
| Username | @xichalsshzz |
| Description | 喜茶老师总榜,最完整的个人老师榜单,收录了个人老师最全维度的信息,历史评价等~ 👤 唯一管理: @chazong_bot 🤖 作业投稿: @teafeedback_bot ——————————— ☘️ 喜茶 • 榜单结构 茶友群: @xichacysh 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 | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/xichalsshzz |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 08:43 | 9,413 | +46 |
| 9 Aug 2026, 18:13 | 9,367 | +65 |
| 6 Aug 2026, 22:52 | 9,302 | no change |
| 6 Aug 2026, 20:17 | 9,302 | first reading |
Engagement
28 posts held, back to 6 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 14 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.417%
- avg views ÷ 9,413 subscribers
- Avg views / post
- 39.3
- 28 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 28
- of 28 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 28 (6 August 2026 – 12 August 2026) |
| Views total | 1,100 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 15:13 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
- ≈13,700
- Videos
- ≈4,180
- Links
- ≈2,770
Lifetime counters from Telegram’s own channel header, read 12 August 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
- 2m 06s
- Average length
- 7s
Measured directly from 18 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.
Recent posts
#沐沐 ✅真人认证 (点击查看) #闵行 七宝 >> 📍看距离 联系她: @沐沐 (报喜茶进会员群) #千元档 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】
🟢 2026-08-12 出勤汇总 闵行 🔥汤圆8P 🔥巧巧12P 🔥小伊伊11P 🔥彤彤7P 🔥泡泡10P 🔥红太浪10P 🔥小呆10P 🔥周仙10P 🔥小7712P 🔥小水8P 🔥呆呆7P 🔥念念13P 🔥妮妮8P 🔥小馨15P 娜宝10P 小彤宝9P 普陀 🔥凡凡10P 🔥芊羽8P 🔥可可5P 🔥甜心8P 🔥冰冰12P 🔥小米7P 🔥七七8P 汤圆10P 徐小雨9P 静安 🔥SM沐沐10P 🔥小猫咪10P 🔥上戏南瓜25P 🔥娜扎12P 🔥可可12P 巧儿6P 浦东 🔥健身小姐姐15P 🔥念念10P 🔥涵涵10P 🔥小玫瑰9P 🔥徐一宁10P 🔥时一12P 🔥金婉儿15P 🔥小燕子7P 🔥娇娇P 🔥甜甜4P 🔥亿涵10P 🔥玥玥5P 🔥点点7P 🔥燕子8P …
#娜宝 🟡待验证 (点击查看) #闵行 华翔路3689号 >> 📍看距离 联系她: @娜宝 (报喜茶进会员群) #千元内 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】
#泡泡 ✅真人认证 (点击查看) #闵行 蒲汇新村 >> 📍看距离 联系她: @泡泡 (报喜茶进会员群) #千元档 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】
#芯儿 🟡待验证 (点击查看) #普陀 宁夏路 >> 📍看距离 联系她: @芯儿 (报喜茶进会员群) #千元档 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】
#悠悠 🟡待验证 (点击查看) #静安 海联公寓 >> 📍看距离 联系她: @悠悠 (报喜茶进会员群) #千元内 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】
🟢 2026-08-11 出勤汇总 闵行 🔥瑶瑶10P 🔥汤圆8P 🔥初夏14P 🔥巧巧12P 🔥周仙10P 🔥小7712P 🔥小水8P 🔥念念13P 🔥妮妮8P 🔥小馨15P 昭昭7P 小彤宝9P 普陀 🔥凡凡10P 🔥芊羽8P 🔥茹茹6P 🔥可可5P 🔥甜心8P 🔥小美6P 🔥小米7P 汤圆10P 徐小雨9P 静安 🔥SM沐沐10P 🔥上戏南瓜25P 🔥小雯12P 🔥娜扎12P 🔥可可12P 浦东 🔥健身小姐姐15P 🔥念念10P 🔥涵涵10P 🔥小玫瑰9P 🔥徐一宁10P 🔥金婉儿15P 🔥小燕子7P 🔥娇娇P 🔥苏清漫(白虎,角色扮演)12P 🔥点点7P 🔥燕子8P 🔥小海豚15P 🔥小k宝15P 🔥瑶妹10P 🔥萝莉包包10P 🔥语夕8P 🔥草莓8P 🔥小雪7…
#ts晴晴 ✅真人认证 (点击查看) #长宁 华阳路街道附近 >> 📍看距离 联系她: @ts晴晴 (报喜茶进会员群) #千元档 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】 【反馈1】
#欣欣 ✅图片认证 (点击查看) #浦东 上船大楼 >> 📍看距离 联系她: @欣欣 (报喜茶进会员群) #千元内 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】
#馨儿 ✅视频认证 (点击查看) #闵行 鲁建路 >> 📍看距离 联系她: @馨儿 (报喜茶进会员群) #千元内 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】
#苗苗 ✅真人认证 (点击查看) #虹口 虹口小区 >> 📍看距离 联系她: @苗苗 (报喜茶进会员群) #千元内 >> 更多标签 详细资料或评论 >> ⛺️喜茶总榜 导航 | 写报告 | 🧧福利群 | 推荐榜 👉 一键关注【喜茶上海频道】 【反馈1】【反馈2】
Showing the 12 most recent of 28 posts we hold for @xichalsshzz. 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.
Citation-graph rank
Citation-graph rank — 327,030 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 14 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.
@heytealist · 8,2753 posts浦东金桥露露
@jinqiaolulu386 · 441 post沐沐的新空间
@mumush2 · 581 post浦东小骚货的福利频道
@saosaoXZMLY · 601 post超级水嫩欧阳巧巧新人首次下海
@tdd789 · 4811 post甜甜的快乐小屋🛖
@tiantian990909 · 1531 post御姐F天然(普陀)
@ttyyg1253 · 1,7921 post维维的豆奶房🫦
@weiwdou1 · 1001 post欣欣后宫
@wxinh456 · 161 post新人浦东豪华工作室
@xh97562 · 941 post馨儿小屋
@xinee0 · 631 post圆圆🍒的色香味🍼
@xingzis · 71 post浦东云朵的个人简介
@yunduogr · 321 post徐妍熙的☁️培训班🎓
@yuxiyand · 651 post
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“上海【喜茶】榜单 (中转)” (@xichalsshzz), 9,413 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/xichalsshzz.
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.