#杭州肯德基 https://t.me/kdjqjt #好评 80-100 #中好评 65-80 #差评 0-65 【出击时间】:11月6日 【出击老师】;#小仙女 【联系方式】:@xiaoxiannv2026 【出击留名】:叶问 【开课位置】:萧山区 【修车水费】:800P 【人照评分满分10】:10分 和照片一致 【颜值评分满分20】:16分 颜值在线 【身材评分满分10】:8分,身高1.60左右,B胸手感柔软 【吊感评分满分20】:17 紧度正常,润滑 【服务评分满分10】:9,服务系老师 【态度评分满分20】:20 态度很好,温柔体贴,配合度高 【环境评分满分10】:9 小区房 【综合评分满分100】:91(好评)(以上相加) 情绪价值描述: 【过程描述】:有的打✅ 舌吻 口活 ✅ 69舔穴 ✅ 毒龙 【过程描述】: 1、群里查看萧山的老师,小仙女老师很合眼缘,预约老师,老师中午十一点半开早课,课室在…

Channel
🎀萧山奥体💦莞式服务系💄小仙女
@atxoaoxiannv
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
6,086subscribers
+6,032 since we began measuring on 13 October 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1004267145470 |
|---|---|
| Type | Channel |
| Username | @atxoaoxiannv |
| Created | 9 October 2026 — measured — dated from the channel’s first post |
| First recorded | 13 October 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/atxoaoxiannv |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 27 October 2026 and assigned it the closest of 31 fixed categories, at 49% 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 |
|---|---|---|
| 8 Nov 2026, 13:46 | 6,086 | -82 |
| 5 Nov 2026, 10:47 | 6,168 | -125 |
| 2 Nov 2026, 11:09 | 6,293 | -1,131 |
| 30 Oct 2026, 21:06 | 7,424 | -2,516 |
| 27 Oct 2026, 16:39 | 9,940 | +322 |
| 24 Oct 2026, 11:49 | 9,618 | -252 |
| 21 Oct 2026, 08:09 | 9,870 | +9,805 |
| 14 Oct 2026, 06:31 | 65 | +11 |
| 13 Oct 2026, 05:22 | 54 | no change |
| 13 Oct 2026, 04:47 | 54 | first reading |
Engagement
45 posts held, back to 9 October 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 7 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.83%
- avg views ÷ 6,086 subscribers
- Avg views / post
- 416
- 39 posts measured
- Reaction rate
- 0.138%
- reactions ÷ views · ER floor
- Posts in window
- 44
- of 45 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 5 of 39 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 45 (9 October 2026 – 6 November 2026) |
| Views total | 16,209 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 16:44 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
- 28s
- Average length
- 6s
Measured directly from 5 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
5 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 80.0% | |
| 💔 | 1 | 20.0% |
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 5 of the 45 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 9 October 2026 to 6 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 44 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).
最后一个🈳位
【快乐星球报告榜】 https://telegram.me/Hshdhbdgsu 【验证留名】:陶 【验证时间】:11.6 【出击老师】:小仙女 @xiaoxiannv2026 【所在地区】:萧山区 【修车水费】:800 【人照相似】:9 【大致年龄】:26 【身高体重】:160/46kg 【凶器罩杯】:C 【服务态度】:主动热情,不催不敷衍 【体验过程】: 看到小仙女老师频道后一直念念不忘,前面自己忙没腾出来时间,今天有空了,赶紧约小仙女老师的课,早就等不及了,凑上时间打车前往好老师工作室,按指定上楼。进到室内看老师房间布置很用心,收拾的可以说是井井有条,一尘不染。被小仙女精致的妆容,婀娜多姿的身材,深深吸引了,主动献上香吻,缠绵片刻后,好闲聊几句后是陪浴环节,前后上下各种磨,真是不亦乐乎。洗完擦干上屋里干正事,项目细致周到不敷衍,口的时间够久,正面口完69口,无奈自己不争气看忍不住了赶紧叫停。翻身带套夸夸猛干,老师兴致到时…
杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:超级好评 【优势】热情,服务到位 【不足】胸小了点 【出击时间】:2026年11月4号 【老师花名】:小仙女@xiaoxiannv2026 【出击留名】:天零 【开课位置】:萧山 【修车水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【人照评价】:人照8.5分相似(从人照相似度,气质穿搭等进行评价) 【身材评价】:身高1.6米,没文身(身高腿长皮肤、是否有纹身等进行评价) 【胸部评价】:胸b(罩杯,软硬等进行评价) 【鲍鱼评价】:蝴蝶型,毛量不多,水多,(结合户形,毛量,水量,紧度评价) 【服务评价】:介绍里写的都有,服务型(服务是否做全) 【态度评价】:无机车,态度很好(过程有无机车,催、赶,有无罚站行为等) 【环境评价】:教室干净(课室是否干净…
📖杭州大学专用报告📖 https://telegram.me/hz_dx 【课程评价】:#好评 【老师花名】:#小仙女 【联系方式】:@xiaoxiannv2026 【课时费用】:工兵p 【老师类型】:#御姐 【验证留名】:CR7776 【验证时间】:11月某日 【课室位置】:#萧山 【课程服务】: ▪️事前陪浴 ▪️69 ▪️舌吻(浅舌) 毒龙有没要 【人照相似】:9 【身高体重】:8 【肤色罩杯】:8 【纹身数量】:无 【课室卫生】:小区房可以 【个人卫生】:不抽烟 前后有洗 【服务态度】:态度很好 【详情反馈】: #老师缺点 胸不大 浅舌 没什么大问题 #老师优点 讲话温柔 长相甜美 皮肤白嫩 娇小可人 典型的四川美女 #情绪价值 不错 妹子很温柔 #出击体验与流程总结 闲来无事刷了刷新人群,看到妹子长相很合口味,欣然拿下,约了头课前往。妹子开课算比较早的,进门初印象还是很精致的,早起画了个妆人照基本没差,个子不高,娇小可…
开课了🉑预约
📔 工兵报告 🎭 白菜:小仙女 @xiaoxiannv2026 ⭐ 打分:8.9/10 ✍️ 理事:我想 静静 【出击时间】:10.22 【白菜艺名】:coco 【理事留名】:我想静静 ———— 分项打分 ———— (每项 1~10 分,可打半分如 8.5) 【人照打分】:9.0 【身材打分】:8.5 【服务打分】:9 【态度打分】:9 【环境打分】:9 【综合评分】:8.9 ———— 基本信息 ———— 【联系方式】:@xiaoxiannv2026 【课时费用】:工兵 【课室位置】:萧山 【课程服务】:好 【人照相似】:8.5 【身高体重】:160.88 【肤色罩杯】:A+ 【纹身数量】:无 【课室卫生】: (整体环境整洁/有一次性拖鞋/一次性浴巾) 【个人卫生】: (否抽烟/有准备漱口水/一次性牙刷) 【服务态度】: (无鸽子/无罚站/无下菜/无催钟) ———— 体验详细 ———— #白菜优点服务好 …
童鞋们😊天气变冷了🈶所有的精神都来自于早晨🉑预约位置
杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】: #超级好评 【狼友用户名】@sen031324 【狼友昵称 】狼仔 【出击老师】#小仙女 【老师用户名】@xiaoxiannv2026 【出击时间】11月5日 【报告时间】11月5日 【高端服务】:有的打✅ ① 舌吻 ② 69舔逼 ✓ ③ 情绪价值 ✓ ④ 毒龙 ✓ 【人照评价】:9分,熟女型,一眼喜欢,很有韵味 【身材评价】:身高160,身材很棒,熊很挺 【胸部评价】:b罩杯,很Q弹, 【鲍鱼评价】:正常的巧克力色,没有味道,容易出水 【服务评价】:服务顶级,跟95店的服务一样 【态度评价】:没有不满意 【环境评价】:课室干净,一次性浴巾 【过程描述】:进门的时候,像日本老婆,一样迎着你进来,对你嘘寒问暖。老师问你要不要陪浴,我没要,洗完澡 老师已经脱光在床上等我了,看着老师圆润的屁屁,我小…
杭州狼友出击协会模板 https://t.me/+yI0wXTr_cK8wMTA1 【综合评价】:#超级好评 【验证留名】:clc 【验证时间】:11月4日 【妹子花名】:小仙女 【联系方式】:@xiaoxiannv2026 【所在位置】:萧山 【修车水费】:400p 【包含服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【身高身材】:身高腿长165,纹身无,皮肤手感顶级 【颜值相似】:人照相似程度9分,颜值好看,气质/穿搭如何精致 【凶器罩杯】:胸型大,乳头颜色棕色/大小c,整体手感9分 【服务总结】:服务到位,无少做,过程无机车 【个人卫生】:不抽烟,有漱口水 浴巾,事前事后有清洗 【时间管理】:开课是否准时耽误了会,排课宽松,课时做完 【推荐程度】:9分,价格合理,值得二刷 【流程小文】:在群里看到老师竞拍,老师很有气质也狠漂亮,花了大价格果断拍…
杭州狼友出击协会模板 https://t.me/+yI0wXTr_cK8wMTA1 【综合评价】:#超级好评 【验证留名】:费加兰德·夏姆洛克圣 【验证时间】:11月5日 【妹子花名】:小仙女 【联系方式】: @xiaoxiannv2026 【所在位置】:萧山奥体中心附近 【修车水费】:400p竞拍 【包含服务】:有的打✅ ① 舌吻 ✔ ② 69舔逼 ✔但没要 ③ 情绪价值 ✔ ④ 毒龙 ✔ 【身高身材】:身高腿长162左右,纹身无,皮肤手感细腻光滑 【颜值相似】:人照相似程度9分,颜值好看,气质温柔/穿搭性感 【凶器罩杯】:胸型b+,乳头颜色褐色/葡萄大小,整体手感柔软q弹 【服务总结】:服务到位,无少做,过程无机车 【个人卫生】:无抽烟,有漱口水 浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【推荐程度】:9.5分,价格合理,值得二刷 【流程小文】:本来是上周经…
来一张去年的照片❤️晚上好🉑预约位置
Showing the 12 most recent of 45 posts we hold for @atxoaoxiannv. 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.
Posts recorded as deleted after publishing
We recorded 2 posts on @atxoaoxiannv as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 4 November 2026
- Most recent seen missing
- 4 November 2026
- Median time before seen missing
- 6 days
- Seen missing in the last 30 days
- 2
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 9 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.
@Hshdhbdgsu · 43,9532 posts®𝘿𝙖𝙙𝙏𝙑(杭州、上海)
@lyfulishe · 94,2532 posts杭州半岛新人工兵频道
@bandaofuli · 47,0681 post杭州公开认证榜(御女阁)
@hangzhou_888 · 58,7361 post杭州嫩妹馆榜单
@hznenmei2 · 29,7491 post杭州修车协会品花榜
@hznmjzysnt · 57,2101 post杭州嫩妹馆新人工兵
@hznmx · 21,4131 post杭州学生会新人老师
@hzxsh_certificate · 79,4821 post杭州夜色(资源)总榜
@hzyeseb · 63,1291 post
Names
Channels on the register whose handles appear in this channel's posts.
@hangzhou_777 · 42,4214 posts杭州学生会
@hangzhou_520 · 111,1033 posts杭州嫩妹馆
@hznmg23 · 34,2453 posts杭州大学
@hz_dx · 71,4322 posts杭州夜未央俱乐部
@lowlighton · 53,0762 posts杭州福利姬
@dadbaobao1 · 36,6901 post杭州半岛嫩妹会
@hangzhoubandao520 · 92,7171 post杭州夜色
@hero5201 · 26,3871 post杭州星球/桃园资源频道
@Hshdhbdgsu · 43,9531 post【杭州拱白菜】理事会
@hz_gongbaicai · 4,2531 post杭州修车协会品花榜
@hznmjzysnt · 57,2101 post杭州肯德基
@kdjqjt · 27,2941 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.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“🎀萧山奥体💦莞式服务系💄小仙女” (@atxoaoxiannv), 6,086 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/atxoaoxiannv.
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.