#按摩 地址是在贵州都匀市独山县麻尾镇,星星充电汽车充电站(星星充电-独山麻尾站)大门口旁边和对面都有,带套开始说300后面要260,可以直接200就可以做,路过的兄弟可以去看看,质量一般 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot

Channel
站街点位资源 | 全国公开榜
@xiucheziyuan
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Cite this entry
131,056subscribers
+11,731 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002203043609 |
|---|---|
| Type | Channel |
| Username | @xiucheziyuan |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xiucheziyuan |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 11:36 | 131,056 | +498 |
| 16 Sept 2026, 02:01 | 130,558 | +394 |
| 14 Sept 2026, 08:37 | 130,164 | +379 |
| 12 Sept 2026, 14:01 | 129,785 | +502 |
| 10 Sept 2026, 11:35 | 129,283 | +648 |
| 7 Sept 2026, 08:19 | 128,635 | +669 |
| 4 Sept 2026, 15:37 | 127,966 | +356 |
| 3 Sept 2026, 00:17 | 127,610 | +289 |
| 1 Sept 2026, 19:28 | 127,321 | +238 |
| 31 Aug 2026, 17:03 | 127,083 | +229 |
| 30 Aug 2026, 18:54 | 126,854 | +283 |
| 29 Aug 2026, 20:12 | 126,571 | +274 |
| 28 Aug 2026, 18:46 | 126,297 | +365 |
| 27 Aug 2026, 16:43 | 125,932 | +398 |
| 26 Aug 2026, 16:17 | 125,534 | +313 |
| 25 Aug 2026, 19:42 | 125,221 | +290 |
| 24 Aug 2026, 21:54 | 124,931 | +491 |
| 23 Aug 2026, 10:46 | 124,440 | +423 |
| 21 Aug 2026, 22:27 | 124,017 | +370 |
| 20 Aug 2026, 16:13 | 123,647 | first reading |
Engagement
231 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 127 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.91%
- avg views ÷ 131,056 subscribers
- Avg views / post
- 11,700
- 114 posts measured
- Reaction rate
- 0.051%
- reactions ÷ views · ER floor
- Posts in window
- 114
- of 231 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 110 of 114 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 231 (6 August 2026 – 22 September 2026) |
| Views total | 1,331,310 |
| Reactions total | 657 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 03:53 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
- ≈2,480
- Videos
- ≈82
- Links
- ≈12
Lifetime counters from Telegram’s own channel header, read 23 September 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
- 15s
- Average length
- 8s
Measured directly from 2 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
1,056 reactions across 216 posts, in 7 distinct kinds. The most used accounts for 90.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 951 | 90.1% | |
| 👍 | 87 | 8.24% | |
| 😁 | 7 | 0.663% | |
| 🎉 | 6 | 0.568% | |
| 👏 | 2 | 0.189% | |
| 🔥 | 2 | 0.189% | |
| 🥰 | 1 | 0.095% |
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 221 of the 231 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 1,056 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 231 most recent posts we hold, published 6 August 2026 to 22 September 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
🎉时隔数月,我们的会员群重新支持付费进入。 首月优惠仅需8️⃣8️⃣人民币即可入会,点击下方链接即可购买。下个月涨至1️⃣2️⃣8️⃣,早买享优惠。 😙👉🏻 https://t.me/zzxddbot?start=p_mUgrNL0-I66z
❤4
#站街 #衡阳 演武坪洗妹子,从衡山跑过去听说演武坪有,过去看了一下, 转弯就看到一个妹子长得还可以,就是凶有点小,后面又去看了一圈,边上有帽子在查就只看到八九个,刚准备走,有了带路又去看了两个,有个175左右的,就喜欢大马,选了就去弄,房间就是正常房间,妹子身材可以,也不催钟,30分钟才出来,总体感觉可以 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
❤1
#站街 #东莞 老皮卡,这家店对面巷子进去,坐车直达附近,附近市场鸡原味太重,而且摄像头较 多,大家记得戴口罩,十几个女的站那里,原来躲在这后面, 本来都想了。逛了一会儿。女的都在巷子里面,地图上显示不出来,按定位的地址直达就行,这边跟泉州莲屿街的差不多。都是有好有差,基本都是十分钟,不换姿势。妆妆浓。晚上8点点左右去的。逛了一圈就走了。 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
❤1
#站街 福建莆田仙游,导航艾里揽溪酒店,往前走几百米看到快乐番薯对面的老北京炸酱面的巷子对面,大约有10几个吧。价2-3,这个位置的附近的巷子也有几个,狼友可以花点时间逛一下 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
❤2
#站街 #惠州 惠城有所发现,惠州清风园去中间广场,一周内来这里4次,都是晚上来的,前两次也同样跑空了,第三次发现居然出来了,大概十个人左右,只有两三个年轻的。找个一个穿黑丝的妹,听她说是从吉隆过来的。然后昨天又来这里找她来了一水。 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
❤1
#站街 #福建 #福州 9月20号晚心痒难耐,遂去黄山逛了一圈。十点到了地方,在路口看到两个警察逮着一个人,但应该不是抓鸡的,往前走,零零散散的大概五个人左右,质量不高,没有年轻的。于是去了高湖,一开始一个人都没有,估计是有检查,吃了个夜宵再去看,到处都是人,大概有二十几个,分布在榕树附近。质量普遍不错,但是没有看到特别嫩的。 不过再提示一下,这两个地方最近都出了点事,加上最近查的严,各位老哥还是谨慎出击。 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
#站街 #广东 #东莞 长安厦岗海螺停车场这边,路边上晚上十二点半以后,有骑着电动车的鸡在路边,你只要靠过去他们就会打招呼,有老有年轻的,大概五六个 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
❤2
#站街 #金华 浙江义乌廿三里探路遇到在面包车里车震的, 之前听人说廿三里拔浪鼓广场那里现在也有站姐的,好奇,晚上驱车前往一探。 到了后转了一圈,找到了两个点如图。一个点是在公园里,大姐姐们骑着电动车,或者一字排开,或者骑来骑去,数量十来个的样子吧,但是年纪都不小了基本上30/40岁左右,有2到3个马马虎虎还能看一下。她们拉到人后骑车带到周边小区房间解决。不过对我来说下不去手,我喜欢年轻的嫩嫩的肉体。 第二个点那里,是快要拆迁的大路边上,这些没有电动车,就是在旁边老房子里租有炮房,质量都差不多,LCP,就一个20多岁,150,别的都是100.值得一提的是,第二个点那里还站着一个瘦瘦的大姐姐,身材还不错,年纪的话应该有30几了,这个女的没有租房子,她有一个面包车,停在旁边的停车场,在车里面解决,喜欢刺激的可以去试试从8点逛到11点,虽然没玩,但也满足了下好奇心 --------------------------------…
❤6
#站街 #上海 闵行推荐一个七宝态度不错的 宝南路天主教堂那条东西方向的弄堂,联络攻略那条弄堂就2个, 从西边走过来第二个,在七宝吃好饭没事扫街,一开始一个都没看到,六七点多开始陆陆续续都出来了,一共大概10个左右,有几个还可以,态度也好,还发现一个奇葩的事情,几个小年轻,其中一个还带着女朋友出来找鸡的,位置大家都知道,收费区就放那个少妇的位置, 藏在闹市夹缝里的城中村,被街巷围出一片自成一派的小天地。 楼房挤挤挨挨,小路弯弯绕绕。出门几步就是小吃摊、杂货小店和便利店,甘蔗汁、臭豆腐、花甲的香气飘在街上。 生活很便利,烟火触手可及。外头车流喧嚣,住在这儿的人,守着这份热热闹闹、接地气的日常 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
❤6
#站街 #长春 火车站居民楼平房底商都有外边还有拉皮条的每家至少有两个选择性高价格也便宜五十起附近的宾馆里也有 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
#站街 广西贵港港北区建设路两边起码20-30人有学生妹,漂亮的也有也有几个老皮卡 --------------------------------- 📝本消息由群友通过 @zhanjietougaobot 进行投稿 🙋🏻♂️广告合作请联系:@sxjl10086bot
❤5
Showing the 12 most recent of 231 posts we hold for @xiucheziyuan. 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 edited after publishing
@xiucheziyuan edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 27 August 2026
- Most recent edit
- 28 August 2026
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“站街点位资源 | 全国公开榜” (@xiucheziyuan), 131,056 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xiucheziyuan.
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.