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Channel

站街spa会所指南

@zhanjie659

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

79,412subscribers

+2,166 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 live17 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/zhanjie659

Growth

77,24679,41278,3297 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 subscribers7 August 202617 August 2026
10 measurements spanning 10 days, net +2,166. 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 76,921–79,737 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 12:3879,412+330
16 Aug 2026, 01:5779,082+420
14 Aug 2026, 13:2478,662+219
13 Aug 2026, 06:0578,443+251
12 Aug 2026, 05:0578,192+220
11 Aug 2026, 05:1177,972+221
10 Aug 2026, 05:1177,751+174
9 Aug 2026, 06:4177,577+243
8 Aug 2026, 07:1477,334+88
7 Aug 2026, 19:1577,246first reading

Engagement

152 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.21%
avg views ÷ 79,412 subscribers
Avg views / post
1,750
152 posts measured
Reaction rate
0.059%
reactions ÷ views · ER floor
Posts in window
152
of 152 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 83 of 152 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 16 August 2026
Posts held152 (7 August 202616 August 2026)
Views total266,176
Reactions total91
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 10:38 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
1m 48s
Average length
10s

Measured directly from 11 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

91 reactions across 62 posts, in 2 distinct kinds. The most used accounts for 65.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6065.9%
👍3134.1%

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 83 of the 152 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 91reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 152 most recent posts we hold, published 7 August 2026 to 16 August 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

16 Aug 2026, 18:35 UTC≈1,710 views2 reactionsread 17 August 2026
Photo

在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。

2

16 Aug 2026, 12:04 UTC≈2,000 viewsread 17 August 2026
Photo

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

16 Aug 2026, 11:47 UTC≈2,520 views1 reactionsread 17 August 2026
Video

#安徽 #淮南 #探店 淮南上湖这条路,承载了多少年轻人的故事,当年唐僧要走这都得扔二百,我家就在前面一点,以前人是真多,美女也多,零几年那些矿上的都打车过来玩,半夜三四点大排档烧烤都不停,村口出租车都在等客人 同城老师信息公开榜👉 @xcls6

1

16 Aug 2026, 11:46 UTC≈2,330 views0 reactionsread 17 August 2026
Photo

#足疗 #spa 足疗避坑终极指南,spa小知识,只教干货 今天分享5个足疗避坑终极指南,帮你一眼看穿不正经店铺 第一个:名字越暧昧越要往后退,从名字就开始搞颜色暗示的,这种店直接就可以撤了 第二个:进门看灯,灯光昏暗的抓紧时间撤,搞得跟密室逃脱一样,空气中弥漫着廉价的香精味道赶紧撤退绝对有猫腻 第三个:技师穿搭太清凉了,这样的呀手法肯定不专业,赶紧跑 第四个:房间里的小心机,比如挂钩窗帘,不对劲的呀,小窗户拉窗帘的呀,甚至带着可疑沙发的,这样的场景呀,肯定要吃大亏 第五个:项目名称搞暗示的,什么帝王专属套餐呀,全部都是智商税 同城老师信息公开榜👉 @xcls6

16 Aug 2026, 11:46 UTC≈2,020 viewsread 17 August 2026

#株洲 #站街 合泰路昨天8点多到的,应该是风太大了。后面基本没看到小姐出来。于是驱车转战沿江路,到了沿江路,教堂旁边。看到路上都是几个少妇。都是150块,随便挑了个好看点小妹子的直接泄火了,脱裤进去疯狂后入,搞的这骚逼嗷嗷叫,2分钟就出水了 同城老师信息公开榜👉 @xcls6

16 Aug 2026, 11:45 UTC≈1,990 views0 reactionsread 17 August 2026

#咸阳 #站街 晚上闲来无事,看了会毛片,鸡儿有点渴了,给找个地方活动活动,刚好离的最近的南安村就有,8点多到,里面转了3圈,挑了个臀肥奶圆的妇女,进去付款150,女的先躺这进,jj不好好干活。估计是提前2小时喷了延时喷剂,后入200下,就是射不出来,无耐后入狂怼妇女屁股,最后终于勉强出来了点,总共耗时15分钟,这群难说话的女的就得这么搞,不然不尽兴啊 同城老师信息公开榜👉 @xcls6

16 Aug 2026, 11:45 UTC≈1,910 views0 reactionsread 17 August 2026

#福州 #站街 国宾大道匠心锁具旁巷子进去站街老地,老菜皮居多,海底捞针能找到几个下手的。我找了一个摩特身材的本地少妇,身高容貌都不错,逼型也好看,最刺激的是逼里肉特别多,每一抽插都能感到满满的火烫的肉肉包裹感,叫床也骚,意犹未尽! 同城老师信息公开榜👉 @xcls6

16 Aug 2026, 11:43 UTC≈1,840 viewsread 17 August 2026

#南平 #邵武 #站街 #扫街 无聊在闲逛,在后衙街那边没想到有2家,门上没有写招牌,估计怕被查。价格200快餐,有老也有年轻的。需要看时机,整体上还行 同城老师信息公开榜👉 @xcls6

16 Aug 2026, 11:37 UTC≈1,870 views1 reactionsread 17 August 2026
Photo

#江苏 #南京 #探店 南京盛夏扫裕德里和竺桥, 下午去浮桥办事,事情不太顺利,出来一头汗,本来不想日,但是心浮气躁总觉得不爽,就跑到裕德里去看看了。 裕德里开了三家,第一家一个纹身精神小妹,大腿上一片纹身,长得挺年轻,不过脸抹的太白了,嘴唇有点厚,感觉一般,也想再看看,就去了旁边那家。 旁边那家就是三家的中间那家,两个熟女,胸大吨位也大,脸一般标准中年妇女,感觉骑不动,也有点油腻。出门再去旁边那家,旁边那家咋说那,额头中间感觉像洗纹身没洗干净一样,长得也一般,本来出门想去弄那个精神小妹去的。 转念一想竺桥就在前面,就去竺桥看看的,去了竺桥感觉都快成玻璃门分店了,进去都是玻璃门的老女人,一个娜娜还有个长得一般 但是好像也是玻璃门的,很久没弄娜娜了,也不想跑了,算了就日她吧。进去付钱,换小区里的炮房,玻璃门的熟女咋说那,长得肯定不是最好看的,但是肯定是这些门店里面最能泻火的

1

16 Aug 2026, 11:37 UTC≈1,640 viewsread 17 August 2026
Photo

#江苏 #无锡 #探店 无锡大小花房及周边7月17凌晨探店,看到有ly说小花房12点到三点开,12:10分到达未开门,看见有几个ly在转(过了半小时也没开) 转到大花房两家30左右没胸,感觉一般 桑达园4家,靠河两家门口一堆人在那聊天,很无语,等了一会也没看着,另外两家无人问津年龄30+有胸,但是长相实在一般,吐槽一下嫩妹没看着,门口扎堆扯皮的真特么无语,就不能找个角落聊? 还有说翠花在后宅的,有ly去探过吗? 同城老师信息公开榜👉 @xcls6

16 Aug 2026, 11:37 UTC≈1,490 viewsread 17 August 2026
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#江苏 #常州 #探店 #足浴 常州市武进区沐熹·足浴SPA,现在常州遍地都是这种做半套的场子,我的打法一般都是多去两次,找到一个自己喜欢的技师,要能配合且符合我的xp,然后自己再想办法约出去,一般她们都是愿意的,我现在这个就是在这家店找到的。 同城老师信息公开榜👉 @xcls6

16 Aug 2026, 11:37 UTC≈1,460 viewsread 17 August 2026
Photo

#江苏 #镇江 #探店 镇江米山现状去车享家和米山扫了一圈。车享家左边有个挺瘦的,不知道是不是大家说的小雅。右手边有两个看着三十多的。叶子不在店里。去洗衣店看了下,花胸开着。米山其他地方一家没开。 同城老师信息公开榜👉 @xcls6

Showing the 12 most recent of 152 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

Names

Channels on the register whose handles appear in this channel's posts.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“站街spa会所指南” (@zhanjie659), 79,412 subscribers as measured 17 August 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.