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Channel

站街spa会所指南

@zhanjie659

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

86,412subscribers

+9,166 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002177455515
TypeChannel
Username@zhanjie659
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/zhanjie659

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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

77,24686,41281,8297 August 2026 — 77,246 subscribers8 August 2026 — 77,334 subscribers9 August 2026 — 77,577 subscribers10 August 2026 — 77,751 subscribers11 August 2026 — 77,972 subscribers12 August 2026 — 78,192 subscribers13 August 2026 — 78,443 subscribers14 August 2026 — 78,662 subscribers16 August 2026 — 79,082 subscribers17 August 2026 — 79,412 subscribers18 August 2026 — 79,672 subscribers19 August 2026 — 79,923 subscribers20 August 2026 — 80,242 subscribers21 August 2026 — 80,488 subscribers23 August 2026 — 80,850 subscribers24 August 2026 — 81,181 subscribers25 August 2026 — 81,343 subscribers26 August 2026 — 81,547 subscribers27 August 2026 — 81,748 subscribers28 August 2026 — 81,903 subscribers29 August 2026 — 82,187 subscribers30 August 2026 — 82,418 subscribers31 August 2026 — 82,591 subscribers2 September 2026 — 82,807 subscribers3 September 2026 — 83,021 subscribers4 September 2026 — 83,338 subscribers7 September 2026 — 83,929 subscribers10 September 2026 — 84,658 subscribers12 September 2026 — 85,160 subscribers14 September 2026 — 85,540 subscribers16 September 2026 — 85,930 subscribers18 September 2026 — 86,412 subscribers7 August 202618 September 2026
32 measurements spanning 42 days, net +9,166. 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 75,871–87,787 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 08:5886,412+482
16 Sept 2026, 03:1885,930+390
14 Sept 2026, 09:3685,540+380
12 Sept 2026, 17:1785,160+502
10 Sept 2026, 13:3684,658+729
7 Sept 2026, 06:3583,929+591
4 Sept 2026, 16:2083,338+317
3 Sept 2026, 00:0383,021+214
2 Sept 2026, 01:1582,807+216
31 Aug 2026, 21:5682,591+173
30 Aug 2026, 20:0482,418+231
29 Aug 2026, 16:4382,187+284
28 Aug 2026, 13:4881,903+155
27 Aug 2026, 13:3781,748+201
26 Aug 2026, 12:0481,547+204
25 Aug 2026, 15:1281,343+162
24 Aug 2026, 18:4581,181+331
23 Aug 2026, 04:2880,850+362
21 Aug 2026, 17:5680,488+246
20 Aug 2026, 17:3780,242first reading

Engagement

702 posts held, back to 7 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 103 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.73%
avg views ÷ 86,412 subscribers
Avg views / post
1,490
415 posts measured
Reaction rate
0.08%
reactions ÷ views · ER floor
Posts in window
415
of 702 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 197 of 415 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 24 September 2026
Posts held702 (7 August 2026 – 24 September 2026)
Views total619,804
Reactions total257
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 11:41 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
≈18,300
Videos
≈1,430
Links
≈14

Lifetime counters from Telegram’s own channel header, read 24 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
2h 08m
Average length
3m 34s

Measured directly from 36 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

404 reactions across 260 posts, in 3 distinct kinds. The most used accounts for 68.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤27768.6%
👍12631.2%
😁10.248%

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 325 of the 702 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 404 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 702 most recent posts we hold, published 7 August 2026 to 24 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

24 Sept 2026, 11:29 UTC1 viewsread 24 September 2026
Photo

👉:AV视频、暗网、外围、吃瓜、封禁新闻 👉:👧🏻SM直播👙裸聊APP(免费版)

24 Sept 2026, 11:15 UTC110 viewsread 24 September 2026
Photo

#江苏 #南京 #鼓楼区 #探店 南京市鼓楼区龙池庵舒筋养生管理中心,玻璃门,天黑时差不多开,连着三家都是,一个花腿一个黑丝,有去过的老哥吗,咨询一下体验如何? 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:15 UTC111 viewsread 24 September 2026
Photo

#江苏 #淮安 #华西路 #洗浴 淮安市淮安区淮城镇华西路楚韵洗浴,手分两种,一种直接出,还有一种带调情,有熊出选项。技师十几个,什么样的都有。 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:15 UTC108 viewsread 24 September 2026
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#江苏 #南京 #探店 #砂舞 南京浦口老炮跑空 ,路过浦口,想着看看,大下午的跑空了,看门口样子应该关门好久了。南京砂舞没落了 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:14 UTC110 viewsread 24 September 2026
Photo

#江苏 #无锡 #扫街 无锡盛岸路扫街,昨天出击不爽,今天再出去逛逛,民丰还是老演员,放弃,来盛岸路,之前耍过的矮个子萝莉,就她了毕竟也是老演员了,态度还凑合 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:14 UTC78 viewsread 24 September 2026
Photo

#江苏 #苏州 #舞厅 前几年的苏州舞厅,场子里都是旋转的裙摆和男人的笑声。现在再去,灯火通明,对方脸上的皱纹、地板上的划痕都看得一清二楚。原本那种朦胧的荡然无存,不少人觉得“没意思了”,索性不去了。还有些舞友反馈无锡、常州、扬州依然保持着那种独特的风味,特别是无锡,那些想要去游玩,周末可自驾或者专门坐高铁去逛逛,一定会收获意想不到的惊喜。说实话,苏州舞厅亮灯,初衷是为了规范管理,杜绝一些乱象。对很多人来说,舞厅是他们为数不多的社交场所,亮灯之后,这份精神寄托没有了;对许多从业者而言,这曾是她们养的饭碗,如今只能另谋出路。 城市在变,规则在变,人的命运也随之在变。也许未来,会有新的娱乐方式填补空白。在这个夏天,苏州的许多舞厅里,那种欢声笑语已经成了很多人的回忆。 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:11 UTC113 viewsread 24 September 2026
Photo

#站街 #上海 #站街 #扫街 #快餐 黄浦区附近 ,晚上8点多到这边多转一下,200的极品妹妹,在床上也是猛的一批,叫声也是很放荡的 --------------------------------- 📝本消息由群友通过 进行投稿 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:11 UTC114 viewsread 24 September 2026
Photo

#站街 #合肥 #站街 #扫街 合浦北村南,面向长江东路,按摩手推快餐,晚上10点路过合浦北村,一排都是,100手推200快餐 --------------------------------- 📝本消息由群友通过 进行投稿 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:11 UTC83 viewsread 24 September 2026
Photo

#站街 #金华 义乌贝村小区10号楼附近,下午三条巷子,7-8个人, 我再看看群一条相关的线下消息,大约晚10点多特意赶去地点探查,可现场空空荡荡一个人影都没有,只看到有亮着闪灯的电动车停在路边,对照着之前记下的方位反复核对,确认自己找的位置绝对没错。 索性没在原地干等,转身去到附近的樊尼斯门店,先做了个按摩打发时间休整状态。等到凌晨1点半,我再次折返原地打探情况,那些人才慢慢陆续现身。 整体来看这些人的状态和素质真的很一般,我在周边来回逛了好几圈,最后挑中了一个看着气质还算本分的小少妇,谈好200元的价格就直接开始,整个过程里没有额外的配套服务,好在对方皮肤和身材都还算不错,就是个子偏矮了些。 --------------------------------- 📝本消息由群友通过 进行投稿 🙋🏻‍♂️广告合作请联系: 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:11 UTC86 viewsread 24 September 2026
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#站街 #站街 #深圳#龙岗 六约地铁站附近,六约公园那边的菜市场那一片的小巷子挺多站街的,会主动上来问,2到3张,30多吧,有年轻的4张,之前更多的,但是被抓过几次少了很多。 --------------------------------- 📝本消息由群友通过 进行投稿 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:10 UTC87 viewsread 24 September 2026
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#站街 #石家庄 新华区|赵佗路打卡依然经典老地方,多年没变样,连片门面沿路排布,整体成熟主权为主,青春甜系得慢慢深挖,有的颜值在线,奈心态何冷随缘,混迹这种地方,稳住心态多溜达 --------------------------------- 📝本消息由群友通过 进行投稿 🙋🏻‍♂️广告合作请联系: 同城老师信息公开榜👉 @xcls6

24 Sept 2026, 11:10 UTC91 viewsread 24 September 2026
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#站街 #长沙 到玉兰路已经是晚上七点了,定了旁边的宜尚酒店,马上放下行飞奔玉兰路。先从AB巷子逛起来,一进A巷子,熟悉的味道就来了,没错,就是这个味道。晚上7点的时候AB巷子就不少人了,估计有20~30个,逛第一遍,想操了就有10来个。然后逛CD巷子没啥人,F巷子有两个还不错。想再逛两遍,完蛋,AB巷子基本上都关门了。就F巷子那两个还在。等了半小时都没再开。没办法只能去F巷子了。 F巷子我看中的是一个穿着小黑丝,扎着两个马尾辫的,看起来年纪不大,问价2张干。为啥看着,这个看起来很年轻,身材也好,应该紧。等跟着上楼脱了衣服,我一摸肚子,完蛋了,生过孩子,她估计知道自己肚子生过孩子手感不好,阻止我继续摸肚子。没办法开整,我**的时候,稍微亲了几下,说不准亲。我就压着她,抓着他的骂马尾辫,好在第一回比较好出,几分钟完事,除了松了,还算满意。 --------------------------------- 📝本消息由群友通过 …

Showing the 12 most recent of 702 posts we hold for @zhanjie659. 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.

Mentions

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

“站街spa会所指南” (@zhanjie659), 86,412 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zhanjie659.

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.