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Channel

姗姗❤️(兼职小屋)

@qxliass

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

3,678subscribers

-974 since we began measuring on 10 September 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004325714352
TypeChannel
Username@qxliass
Created4 September 2026measured — dated from the channel’s first post
First recorded10 September 2026
Last confirmed live15 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/qxliass

Growth

3,6784,6524,16510 September 2026 — 4,652 subscribers10 September 2026 — 4,652 subscribers12 September 2026 — 4,458 subscribers15 September 2026 — 3,678 subscribers10 September 202615 September 2026
4 measurements spanning 5 days, net -974. 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 3,532–4,798 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 11:563,678-780
12 Sept 2026, 03:184,458-194
10 Sept 2026, 08:224,652no change
10 Sept 2026, 07:474,652first reading

Engagement

19 posts held, back to 4 September 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.95%
avg views ÷ 3,678 subscribers
Avg views / post
182
17 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 2 of 17 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 10 September 2026
Posts held19 (4 September 202610 September 2026)
Views total3,094
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 08:22 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.

Recent posts

10 Sept 2026, 05:41 UTC68 viewsread 10 September 2026
Photo

🎉 广州茶馆-姗姗现金红包 🎁 奖品清单 • 现金红包🧧28 × 2 🛡️ 参与条件 • 加入 广州茶馆 • 加入 姗姗❤️(兼职小屋) • 加入 广州茶馆甄选轮播群 • 加入 广州茶馆老师榜【备胎】 • 加入 广州茶馆-在榜老师(新榜) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:3圣晶石 • 祝福上限:1000次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-09-14 16:38:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@gzcg1bot 3:写报告抽500现金和巨量圣晶石!!! ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

9 Sept 2026, 11:57 UTC122 viewsread 10 September 2026

【广州茶馆】:https://t.me/gzcg9 【时间】:2026-09-09 【老师】:姗姗 【账号】:@Qsilln 【留名】:匿名 【颜值】:迷人又可爱 【身材】:很勾引人 【罩杯】:c 【服务】:课表的 【态度】:老师很会调情10分 【位置】:天河 【评分】:9.8 【过程】:昨天私聊了老师预约,老师把位置发我,今天来到老师的地方,第一眼就觉得很嫩,腿挺长皮肤也白,上楼后交完水费和老师先洗了个澡,出来的时候老师换上了性感小套装简直了,接着我把老师抱到床上,老师开始做服务,吸得很舒服,一边温柔的吸食还用奶子摩擦,我伸手摸了下老师的妹妹已经完全湿润了,看着老师曼妙的身姿也顶不住了,戴套直接开干,进入的时候老师紧紧抱着我,对视了看见老师那个勾人的眼神,加快冲击老师被干得嗷嗷叫,接着又换了姿势,说真的老师太骚了,真的忍不住,干一下就想射了,憋了好一会儿最后奋力冲击就缴械了,欣欣老师真的挺不错的,我找个机会下次还二刷

8 Sept 2026, 12:32 UTC148 viewsread 10 September 2026

【出击报告】https://t.me/gzymsc7 【老师艺名】姗姗 【联系方式】@Qsilln 【所在位置】天河 【验证留名】小天 【验证时间】9.8 【修车费用】800 【颜值身材】9.8 【服务内容】课表 【服务态度】9 【优点缺点】身材针不戳 【推荐程度】10 【体验细节】服务我只能用两个字来形容,满分,私聊老师后,果断预约了上门,见面老师颜值确实不错,让我血脉喷张,光是一个洗澡的流程都不知道比别的老师认真了多少,洗干净后还又让人惊艳的水磨,洗完后直接换上了丝袜,看得我两眼放光。上床后先让我翻过来,用她的奶子擦拭我的背部,然后从后面舔我的蛋蛋仙女摘桃,舔完后又舔我的奶头,舔的我心头一阵澎湃,然后开始舔我的弟弟,不得不说口活是真的好。待老师替我口完后,我再也忍不住了,穿好工作服直接提枪上阵,先从后面开始,一阵狂插,听着老师的婉转高亢的鸣吟,我内心是一阵兴奋,后入了一会后又要求正面干,正面看着老师娇艳的脸庞,老师在我的抽插

7 Sept 2026, 12:02 UTC197 views0 reactionsread 10 September 2026
Forwarded from @tiyan0666

【时间】:2026-09-07 【老师】:姗姗 【留名】:dior 【评价】:👍 好评 【人照】:9 【颜值】:10 【身材】:10 【服务】:9 【态度】:9 【环境】:8 【综合】:9.17 【过程】:听说来了新老师,今天刚好有时间就过来了 开门瞬间老师是我喜欢的类型,有点可爱 还是大长腿,本人跟照片一样 个人觉得比照片还好看,老师去放了水我直奔浴室 和老师一起洗了鸳鸯浴 亲吻水中潇 做好后了去了床上,老师一会儿也就来了,课表的服务都有很舒服 带上套后我直接后入来回操得老师啊啊叫 憋不住出了货 下次还来找老师

Showing the 12 most recent of 19 posts we hold for @qxliass. 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.

Forward network

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.

Mentions

Named by 1 registered channel — 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.

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“姗姗❤️(兼职小屋)” (@qxliass), 3,678 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/qxliass.

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.