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Channel

上海【喜茶】作业报告

@xichabgsh

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

10,691subscribers

+286 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-1002438627226
TypeChannel
Username@xichabgsh
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/xichabgsh

Growth

10,40510,69110,5486 August 2026 — 10,405 subscribers6 August 2026 — 10,405 subscribers8 August 2026 — 10,435 subscribers9 August 2026 — 10,467 subscribers10 August 2026 — 10,486 subscribers11 August 2026 — 10,518 subscribers12 August 2026 — 10,524 subscribers13 August 2026 — 10,548 subscribers14 August 2026 — 10,594 subscribers16 August 2026 — 10,641 subscribers17 August 2026 — 10,691 subscribers6 August 202617 August 2026
11 measurements spanning 11 days, net +286. 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 10,362–10,734 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 12:1810,691+50
16 Aug 2026, 03:1810,641+47
14 Aug 2026, 12:5810,594+46
13 Aug 2026, 03:2610,548+24
12 Aug 2026, 03:2610,524+6
11 Aug 2026, 01:0110,518+32
10 Aug 2026, 01:4210,486+19
9 Aug 2026, 03:1110,467+32
8 Aug 2026, 00:1210,435+30
6 Aug 2026, 21:4010,405no change
6 Aug 2026, 20:1610,405first reading

Engagement

138 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.53%
avg views ÷ 10,691 subscribers
Avg views / post
164
138 posts measured
Reaction rate
0.322%
reactions ÷ views · ER floor
Posts in window
138
of 138 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 11 of 138 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 15 August 2026
Posts held138 (6 August 202615 August 2026)
Views total22,595
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 17:57 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.

Reaction mix

9 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
777.8%
👍222.2%

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 11 of the 138 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 138 most recent posts we hold, published 6 August 2026 to 15 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

15 Aug 2026, 13:43 UTC58 views1 reactionsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #雪茹 ⛳位置: #静安 愚园路 🤖课表: https://t.me/xichalssh/31171 📒小作文: 【验证时间】:2026.8.15 【修车水费】:工兵5 【服务内容】:写的都有 【颜值身材】:频道自拍除去美颜就是本人 【机车行为】:无 【优点缺点】:优:1.配合度高2.🐻又大又软3.少见的174大只马嫩妹。4.目测耐桩 缺:1. 嫩妹经典问题服务简单 【推荐程度】:9/10 【过程描述】地铁去工作室估摸10来分钟,工作室在独栋居民楼里面,没门禁没门卫,安全抵达。 进门就看到ls光溜溜等待,简单寒暄缴水费,然后三下五除二yyy转移床上。先是ls开始服务,kiss,三点口,口挺认真的,就是吸力差点意思;抚摸ls阴户,还是比较干涩,遂攻守互换给ls服务,ls胸很大,说是d,感觉比d大,嘴边舔边吸左边rt,左手抚摸阴户和小豆豆,右手揉左胸;在不断进攻下,rt从软变硬,ls小穴也

1

15 Aug 2026, 13:43 UTC84 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #欣欣 ⛳位置: #闵行 君莲闵都雅苑 🤖课表: https://t.me/xichalssh/30504 📒小作文: 闵行老小区,新人自聊,见面皮肤很白162左右,务态度非常温和周到,全程轻声细语,。环境氛围布置得很?让人放松,老师还会细心询问服务要求,细节满满,体验感极佳,下次还会指定这位ls。” 💁‍反馈人: Jackson wang

15 Aug 2026, 13:43 UTC36 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #金婉儿 ⛳位置: #浦东 陆家嘴浦东大道 🤖课表: https://t.me/xichalssh/28824 📒小作文: 之前就注意到了金婉儿,身材颜值都是我的菜,观察了很久,奈何距离太远实在下不定决心,心心念念太难受,最终还是决定长途奔袭圆个梦 决定既然决定出击就要认真对待,提前两天约了婉儿的课,定好时间出发 小区在市中心,离着地铁站不远,交通方便,进门有门禁,需要联系老师开门 进门就能看到身材婀娜的婉儿,一袭黑裙很吸睛,身材凹凸有致,我就知道我没踩坑 巴掌大的小脸,眼睛大大的,眼神勾人 寒暄之后开始沐浴,婉儿会贴心帮洗,脱光后的她皮肤紧致光滑,身体曲线一览无余,让人荷尔蒙分泌 一阵法式湿吻,婉儿的舌头挑逗着我的老弟让我难以控制,翻身开启女骑士模式,从这个体位可以欣赏到婉儿的超绝身材,两颗大雷吸引着我的眼球,扭动的腰肢汲取着我的阳气,相拥良久,抱着杨柳细腰大力推车 转身后入,看着这丰

15 Aug 2026, 13:43 UTC33 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #徐小雨 ⛳位置: #普陀 真如地铁站 🤖课表: https://t.me/xichalssh/29420 📒小作文: 今天突发兴致,看到小雨老师,随即发起邀约,到了地方遥控上楼很顺畅,看到老师第三次来了还是感觉物超所值,性感的黑丝和大大的🐻子,还有迷人的大屁股! 给完课费老师带着去洗澡 洗漱完后,前戏毫不含糊,舌头软糯细滑,边口、👅不停360度挑逗,口的很舒服,肢体表情到位,带上套套进入嫩穴。热乎丝滑紧致,包裹感强,不知道是会夹还是天生的紧,我平时能换个动作,今天在妹妹这没顶住。口活好,人照对版、B真的紧。非常推荐 💁‍反馈人: Otis

15 Aug 2026, 13:43 UTC38 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #笑笑 ⛳位置: #普陀 华东师范大学 🤖课表: https://t.me/xichalssh/31259 📒小作文: 以前去过的老师,重新出山了,补写一个评价。老师是自聊,见面是小小萝莉一只,一米五几。长的很可爱,胸比较大。不让亲,没口交服务吧。(可能记错)但是可以乳交,也挺爽的。600在上海超值了。 💁‍反馈人: Zhen

15 Aug 2026, 13:43 UTC37 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #优乐美 ⛳位置: #宝山 三门路505弄附近 🤖课表: https://t.me/xichalssh/22508 📒小作文: 冲着优乐美老师3张快餐来的,上海毕竟推油95都要400,到之前期望不大。到时候确认老师是自聊,老师身材略胖,但是胸挺大。做之前可以要求穿黑丝,有口。服务还可以,300块性价比超级高, 💁‍反馈人: Zhen

15 Aug 2026, 11:36 UTC63 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #周仙 ⛳位置: #闵行 天安豪圆 🤖课表: https://t.me/xichalssh/30140 📒小作文: 七宝老小区,新人自聊,见面黑瘦160,巴掌脸,妆容精致秀气,脱衣有料,两盏大灯,一条没上色的花臂,谈吐可以不精神。服务嫩妹三件套,开始口就知道年纪不大阅历不少,一看就是之前开过,123的哥们很容易被秒,还想偷懒不女上,没答应,女上其实强的很。 做起来肉软逼热,吊感好,人工白虎,进门30分钟开始控时,她算好实际控在40分钟左右。 一点缺点ps:说话喜欢跑火车,说马上到炮房,结果在楼下车里等了她40分钟,自我安慰最近严打,就当观察环境了,说有衣服丝袜结果见面说不好意思用完了,衣服刚洗。想玩攻速装的的建议自带。 总结:细致硕果,适合吃颜打卡的兄弟,建议增强到岗时间观念。课表的服务该提就提,别不好意思,精致+精明女孩,结束时还介绍了她朋友,我甚至觉得她有做鸡头的潜质。 💁‍反馈人

15 Aug 2026, 11:31 UTC50 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #红太浪 ⛳位置: #闵行 虹梅路 🤖课表: https://t.me/xichalssh/30617 📒小作文: 全程引导,老师身材颜值都很不错,人也很温柔。动作举止间透露着细腻。褪去衣裤开始沐浴,忍不住就开始起立了。陪浴洗的也很干净很认真。接下来开始服务,我是头回出击,她也不敷衍,按照课表全部到位,仔仔细细开始,老师口技优秀,险些交代在老师口中。接下来进入正题,带套开干。老师很润也很紧,传教士后,让老师女上,摇晃着腰肢,长发随之舞动,胸前两团雪白也跟着.上下颠簸,画面淫靡不堪。感受着下身被层层软肉包裹吮吸,老师动感十足,每一下都能深深的进入。接下来转后入,伴随着我的冲击老师臀部也是起了一浪又一浪。在一阵阵浪潮中结束 💁‍反馈人: 小奶狗

15 Aug 2026, 10:08 UTC155 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #周仙 ⛳位置: #闵行 天安豪圆 🤖课表: https://t.me/xichalssh/30140 📒小作文: 周仙,真人是小麦肤色嫩妹,偏南方人长相,身材不错细枝硕果,性格大大咧咧的,床上正常服务,做爱姿势配合,不介意肤色的话值得打卡 💁‍反馈人: Romance

15 Aug 2026, 09:47 UTC72 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #玥琳 ⛳位置: #徐汇 徐家汇 🤖课表: https://t.me/xichalssh/29643 📒小作文: 今天掐指一算,是出击的好日子,本人匈奴,直接联系老师,老师遥控到了地方以后,直接切入正题,先是三点口,然后提枪上阵,女上全自动,但本人怜香惜玉不想老师太累了,直接自己来,水非常多非常润,很快就缴枪投降,稍微休息后开始第二场,先让老师来客厅给口,然后直接沙发后入,非常有感觉,喜欢大奶的兄弟千万不要错过 💁‍反馈人: Ira

15 Aug 2026, 09:47 UTC124 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #奶龙宝宝 ⛳位置: #浦东 华实佳苑 🤖课表: https://t.me/xichalssh/28598 📒小作文: 地方很远人很好,颜值9分,和图片差不多,过程感觉像我女朋友,没有风尘的感觉,服务很好,我实在不会描述,各位自己体验吧,总的来说就是还会再来,老师你别忘了回上海哦 💁‍反馈人: Stefani

15 Aug 2026, 09:47 UTC50 viewsread 15 August 2026

上海【喜茶】作业报告 👧艺名: #漫漫 ⛳位置: #闵行 七宝青年路 🤖课表: https://t.me/xichalssh/30938 📒小作文: 提前约了漫漫老师头课,之前就有关注过老师,只因为路途有点遥远,但是不妨碍我内心想要cj老师的决心,老师给完地址立马出发,上楼进门老师热心接待,一眼就爱上了,和照片相差不大,付完水费冲个凉就和老师抱在一起啃起来了,和课表写的一样主动就骚起来了,老师口技爆炸,深喉很舒服,没有齿感,口了一会戴上套套立马开干,老师在上扭动的超爽,一会会就交代了,稍微擦拭一下老师就来背部按摩了,只感觉这个价格这个服务物超所值,接着老师又是口活起手,第二次持久了许多,把老师喂饱了,接着洗漱一下和老师聊了会天就结束了此次的旅程,总结下来颜值和照片差不多,该有的服务都有,骚气十足,情绪价值拉满,值得再次出击 💁‍反馈人: S

Showing the 12 most recent of 138 posts we hold for @xichabgsh. 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 — 146,206 of 1,481,502entries 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 22 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.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“上海【喜茶】作业报告” (@xichabgsh), 10,691 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/xichabgsh.

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.