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Channel

晓咪的朋友圈

@xiaomi6681

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

61subscribers

+13 since we began measuring on 21 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003901547653
TypeChannel
Username@xiaomi6681
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded21 October 2026
Last confirmed live22 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 22 October 2026
On Telegramt.me/xiaomi6681

Growth

486154.521 Oct 2026, 08:47 — 48 subscribers21 Oct 2026, 09:22 — 48 subscribers22 Oct 2026, 07:01 — 61 subscribers21 Oct 2026, 08:4722 Oct 2026, 07:01
3 measurements taken within a single day, net +13. 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 46–63 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Oct 2026, 07:0161+13
21 Oct 2026, 09:2248no change
21 Oct 2026, 08:4748first reading

Engagement

12 posts held, back to 2 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
64.5%
avg views ÷ 61 subscribers
Avg views / post
39.3
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 12 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 21 October 2026
Posts held12 (2 September 2026 – 21 October 2026)
Views total118
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 09:22 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.

What this channel posts

Video runtime
6s
Average length
6s

Measured directly from 1 video 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

21 Oct 2026, 05:34 UTC55 viewsread 21 October 2026
Forwarded from @YnkmsjjyzzzzPhoto

云南昆明司机加油站新人榜 🙋🏻‍♀️ 晓咪 #km 📊 车评: ☎️ 联系方式: @xiaomi881 🏷 分类标签: #昆明 #官渡 #6P #11PP ✳️ https://t.me/Kmainu95111

21 Oct 2026, 05:33 UTC52 viewsread 21 October 2026
Forwarded from @kunming699Photo

📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 😍艺名:#晓咪 🎯位置:昆明 #官渡区 💵课费: #600P #1100PP (具体内容见课表) 📱私聊:@xiaomi881 🖥频道: https://t.me/xiaomi6681 💌上榜联系 💌写报告 点击进入🎉学生会交流群🎉

6 Sept 2026, 03:58 UTC333 viewsread 21 October 2026
Photo

见一面吧,拿不下你是我的问题🤭 化个妆开课啦 @xiaomi881

4 Sept 2026, 03:32 UTC247 viewsread 21 October 2026
Forwarded from @cjBg9577Photo

📋 狼友反馈报告 🐺 出击狼友:柯 🎯 出击对象:#晓咪 🏷 牛马编号: #牛马·红尘榜0607号 📱 老师 TG:@xiaomi881 📍 位置: #官渡区 📸 人照相似度:9 💬 是否中介代聊:否 👩‍🦰 类型: 御姐气质型 🕒 大致年龄:25 💆‍♀️ 服务项目:看课表 🌟 优点锐评:口活好,姿势配合度高,女友感十足 ⚠️ 缺点:无 📝 PS补充说明:榜上看到刚下海的老师,决定出击。联系好时间立即前往,路上有点塞车就算了还跑错了😂好在老师耐心指导也不会不耐烦,最终抵达课室。开门看到老师一身性感睡衣,纤细身材,必须点赞。人照九五分。自觉交纳水费,然后老师认真的陪洗,然后擦干,老师的奶子刚好抓住,胸型好看很挺。AB面服务很仔细,女友感十足,毒龙的时候一刷二钻,实在享受。然后翻面一路向下,直击重点,二弟被口的一塌糊涂,蛋蛋也照顾了。后续带上装甲,女上进入,温热紧致,老师的小穴水多,包裹感强。太让人有欲望了,老师很配合…

3 Sept 2026, 09:58 UTC343 viewsread 21 October 2026
Photo

❤️云南昆明司机加油站报告❤️ 9分以上为优质,8分以上为中等,7分以下为差超过2次下架黑榜处理! 【时间】:2026-09-03 【老师】: 晓咪 【评价人】:Naqi 【人照】:9.5 【颜值】:9.5 【身材】:9.5 【服务】:9.5 【态度】:9.2 【环境】:9 【综合评分】:9.37 【过程描述】:写一个总结小评,人照一致身材线条比例完美,肤白,软弹B+🐻,逼逼水润十足,紧感适恰,服务过程很舒适,彰显其功力十足,事前事后处理都很不错,可复刷。助浴时候,浴室吹箫净全身。趴在床上体验ab面服务,毒龙很明显能感受到菊花被舌头带来的酥麻感,老师舌头很灵活,很舒服。漫游也是十分丝滑。冰火更是一绝,是我的最爱,老师也会配合着用骚骚的眼神看你。老师口活展示,舌尖弹跳的滋味,蛋蛋也会被照顾到,特别喜欢特别带劲。最后的正戏就不过多阐述了,直接自行体会更清楚。姿势全配合,骚叫声好听,感觉真不错!

2 Sept 2026, 08:11 UTC455 viewsread 21 October 2026
Photo

❤️云南昆明司机加油站报告❤️ 9分以上为优质,8分以上为中等,7分以下为差超过2次下架黑榜处理! 【时间】:2026-09-02 【老师】: 晓咪 【评价人】:Ste 【人照】:8 【颜值】:9 【身材】:8 【服务】:9.5 【态度】:9 【环境】:10 【综合评分】:8.92 【过程描述】:遥控上楼,开始作业,结束作业后还聊会天。ls很白,下面紧,口得很认真,环境整洁干爽,值得推荐。

2 Sept 2026, 06:29 UTC235 viewsread 21 October 2026
Forwarded from @cjBg9577Photo

📋 狼友反馈报告 🐺 出击狼友:柯 🎯 出击对象:#晓咪 🏷 牛马编号: #牛马·红尘榜0607号 📱 老师 TG:@xiaomi881 📍 位置: #官渡区 📸 人照相似度:9 💬 是否中介代聊:否 👩‍🦰 类型: 御姐气质型 🕒 大致年龄:25 💆‍♀️ 服务项目:看课表 🌟 优点锐评:口活好,姿势配合度高,女友感十足 ⚠️ 缺点:无 📝 PS补充说明:榜上看到刚下海的老师,决定出击。联系好时间立即前往,路上有点塞车就算了还跑错了😂好在老师耐心指导也不会不耐烦,最终抵达课室。开门看到老师一身性感睡衣,纤细身材,必须点赞。人照九五分。自觉交纳水费,然后老师认真的陪洗,然后擦干,老师的奶子刚好抓住,胸型好看很挺。AB面服务很仔细,女友感十足,毒龙的时候一刷二钻,实在享受。然后翻面一路向下,直击重点,二弟被口的一塌糊涂,蛋蛋也照顾了。后续带上装甲,女上进入,温热紧致,老师的小穴水多,包裹感强。太让人有欲望了,老师很配合…

Showing the 12 most recent of 12 posts we hold for @xiaomi6681. 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

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 2 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 22 October 2026 — this entry's latest reading, not the date you are reading this.

“晓咪的朋友圈” (@xiaomi6681), 61 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/xiaomi6681.

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.