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Channel

免费站街信息公告板[NSFW]

@zjtime

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

34,349subscribers

+380 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-1001778180476
TypeChannel
Username@zjtime
Description#站街
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 October 2026
Measurements held33
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/zjtime

Topic

Adult — 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 83% 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

33,95734,34934,1537 August 2026 — 33,969 subscribers8 August 2026 — 33,969 subscribers9 August 2026 — 33,994 subscribers9 August 2026 — 33,960 subscribers10 August 2026 — 33,957 subscribers11 August 2026 — 33,973 subscribers12 August 2026 — 33,978 subscribers14 August 2026 — 33,970 subscribers15 August 2026 — 33,965 subscribers17 August 2026 — 33,967 subscribers19 August 2026 — 33,985 subscribers19 August 2026 — 33,986 subscribers20 August 2026 — 33,996 subscribers22 August 2026 — 34,003 subscribers23 August 2026 — 34,034 subscribers25 August 2026 — 34,023 subscribers26 August 2026 — 34,036 subscribers27 August 2026 — 34,043 subscribers27 August 2026 — 34,054 subscribers29 August 2026 — 34,044 subscribers31 August 2026 — 34,030 subscribers1 September 2026 — 34,034 subscribers2 September 2026 — 34,038 subscribers3 September 2026 — 34,060 subscribers5 September 2026 — 34,076 subscribers9 September 2026 — 34,163 subscribers11 September 2026 — 34,193 subscribers13 September 2026 — 34,211 subscribers15 September 2026 — 34,268 subscribers17 September 2026 — 34,334 subscribers19 September 2026 — 34,308 subscribers26 September 2026 — 34,234 subscribers4 October 2026 — 34,349 subscribers7 August 20264 October 2026
33 measurements spanning 58 days, net +380. 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 33,898–34,408 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
4 Oct 2026, 18:3934,349+115
26 Sept 2026, 23:3734,234-74
19 Sept 2026, 17:5934,308-26
17 Sept 2026, 04:1934,334+66
15 Sept 2026, 02:0134,268+57
13 Sept 2026, 08:1834,211+18
11 Sept 2026, 14:3834,193+30
9 Sept 2026, 00:2134,163+87
5 Sept 2026, 14:1834,076+16
3 Sept 2026, 11:5934,060+22
2 Sept 2026, 05:0434,038+4
1 Sept 2026, 07:3834,034+4
31 Aug 2026, 04:0634,030-14
29 Aug 2026, 02:0734,044-10
27 Aug 2026, 23:3734,054+11
27 Aug 2026, 01:4634,043+7
26 Aug 2026, 03:1634,036+13
25 Aug 2026, 03:4834,023-11
23 Aug 2026, 23:2534,034+31
22 Aug 2026, 04:2734,003first reading

Engagement

150 posts held, back to 24 July 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 100 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.77%
avg views ÷ 34,349 subscribers
Avg views / post
2,330
54 posts measured
Reaction rate
0.093%
reactions ÷ views · ER floor
Posts in window
54
of 150 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 35 of 54 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 4 October 2026
Posts held150 (24 July 2026 – 4 October 2026)
Views total125,568
Reactions total82
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Oct 2026, 19:42 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
263
Links
1

Lifetime counters from Telegram’s own channel header, read 4 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

182 reactions across 74 posts, in 2 distinct kinds. The most used accounts for 95.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤17495.6%
👍84.40%

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 104 of the 150 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 182 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 150 most recent posts we hold, published 24 July 2026 to 4 October 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

4 Oct 2026, 16:31 UTC261 views1 reactionsread 4 October 2026
Photo

#乐平 假期路过景德镇,本想景德镇玩一下,结果景德镇大堵车,酒店爆满。就想着去乐平市住一晚。想起有贴子说粉红灯一条街,导航到第十小学,停车溜达一圈。发现有20多家,每家开着粉红灯,有的挂足浴按摩牌子,大多没挂。店里一个妹子,个别有2个,。有少妇,和年轻点的妹子。有几个店妹子很年轻,目测苗条,细枝结硕果。问了下,200kc,300带服务口,直接就在店里,关灯服务,没有后门。附件地图上涂鸦点位置都是粉红小店。。

❤1

4 Oct 2026, 16:29 UTC250 viewsread 4 October 2026

#北京 东辛店扫街无果,直奔小店村。 刚进村,就又看到了熟悉的 红蓝小灯,各个刷新点,主干道,都有 安保值班。 但相对东辛店,小店地形复杂,暗巷较多。于是开始转悠,大概有4-5个老皮卡,目测年龄40+,张嘴就是200起步。 继续溜达,碰见了不少骑兵,质量参差不齐,(看穿着打扮、妆容、发型就能看出来是不是)。经常停留在没安保的暗巷路口。随机问了一个,150。没啥兴趣,又溜达了两圈,建议还是扫个单车或者骑车溜达,复活点过于随机,能不能碰见好货纯看运气。 相比东辛店的一个没有,小店大概还有个15个左右。 失望的一天结束。希望这股风赶紧刮完吧。

4 Oct 2026, 16:25 UTC248 views0 reactionsread 4 October 2026

#无锡 国庆中午出发无锡,扫了一遍。 1.第一站:塘南,挺年轻,图文3张起,太贵,隔壁找个土妹2张,全程自己动,站立强怼几百下出货第一发。妹子倒也不催,可能看我帅。(ps:烧烤那个土妹直接做3张,看着年纪很小,就是土) 2. 第二站:顺路去了通虹路,白天不开,溜了一圈。 3.第三站:去了蒋巷,门口叔叔车子,一家没开。 4.第四站:去了机床新村,年纪都非常大 ,找了个能看的,闭眼抱着抢怼,100 第二发,服务倒是挺好的,出来了看见9号楼有个不错的,问了一下1张,准备下次去。(适合穷哥们) 5. 第五站:梁清路,28号小门有两个挺不错的,丝袜包臀裙,笑脸盈盈,没动力第三发了。(准备下次去) 6.第六站:盛岸地铁站 ,傍晚6点,往烟酒巷子走,一个没有 7.第七站:钱桥,傍晚7点,喜羊羊烧烤啥的 ,逛了一圈,啥都没有。 8. 第八站:民丰,民丰逛了一圈,感觉也一般,地铁回家,今日消费:100➕200,总结:国庆总体白天质量很低。

4 Oct 2026, 05:30 UTC769 viewsread 4 October 2026

#南通 扶海洲有两条巷子,一进去西边的巷子第一家店,有3个女的。瑜伽裤、女仆装和一个口罩的,瑜伽裤(满背纹身)长得可以,选的瑜伽裤,才做了2分钟,就说别人10分钟,她这里就是5分钟,2分钟就开始催了,机车女不推荐。油管戛然而止视频的黑丝女又回来上班了,东边巷子转了一圈基本上都是菜皮,西边巷子有一两个嫩妹但是要仔细挑自己看。6点天一黑基本上就关门了,走进才会开门看到人。建议下午去,比较好扫街。

3 Oct 2026, 16:40 UTC≈1,120 views1 reactionsread 4 October 2026
Photo

#北京 大概有4-6个。年龄基本40往上,光线很暗,有的还戴口罩,纯纯老皮卡。 在公厕那块,有个穿白色棉服、短发少妇,估计35岁左右,属于矬子里面拔将军。问价,张嘴就是2张。 现在确实货太少,纯纯卖方市场了,放之前也就是1张还得带服务的水平。 开始讲价,“闲着也是闲着,1张来一下”。很不情愿,很吊的说,做不了,你去问问别人多少钱。 心想,“省钱了”,骑车接着逛,问了个戴口罩的老皮卡,张嘴也是2张。 原地掉头回家。 离得远的兄弟没必要刻意去了,没有好货,价格还贵,那个态度估计八成也是事儿妈+机车。这样做生意,早晚得黄。

❤1

2 Oct 2026, 16:56 UTC≈1,450 views1 reactionsread 4 October 2026

#无锡 9.30晚上打完麻将,小头控制大头,11:30第一站到达英格兰广告,没开,去惠钱路没开,接着又去喜洋洋烧烤没开,再去黄巷没找到,心里憋着难受,又去了小李五金,12点多到那边,有4个妹子,一边两个,一个少妇颜值不错,马路对面有个大熊微坦,不过没干,接着去塘南路,转了两圈发现5-6个,到那边已经1:30了,选了一个看着顺眼的坐在电瓶车上的妹子,贵州人,刚来没多久,进入小房间,扫完码,开始干活,小穴挺紧的也比较浅,一下子就顶到子宫口了,妹子反应也比较真实,最后冲刺的时候,妹子抓紧我手臂呻吟声不断,一发入魂,爽完赶紧回家睡觉,下雨天出来玩真不容易

❤1

2 Oct 2026, 16:45 UTC≈1,420 viewsread 4 October 2026
Photo

#宁波 江北区孔浦街道常洪,小巷进去后直接能看见,跟着走就行,可能因为放假人不多,只有两个,但身材长相都不错,挑了一个,互动很到位,声音也好听,200正常,300有kh,sh,性价比相对其他较高,狼友们可以试试

2 Oct 2026, 16:42 UTC≈1,310 views0 reactionsread 4 October 2026
Photo

#岳阳 汨罗火车站附近,注意不是东站,20分钟150的爱情,加50带吹,多看几家,150也可以带吹。如附件图,进去左手边第一个巷子,走下去有七八个店子,第一个店子有三个妹子质量不错,鸡头傲娇不谈价,第二个第三个都是两个妹子,还可以,但第三个店子甩脸色,最后到了里面倒数的一个店子,可以摸,送吹,泄火走人。

2 Oct 2026, 16:41 UTC≈1,270 views2 reactionsread 4 October 2026

#南通 10.2蹭下国家高速免费东风,一路从无锡杀到海门大千商贸城,时间下午1点,先老规矩每个巷子走一遍,这里的老菜皮没下限啊50左右,40以上的占90%,总算转到市场南面靠墙那一条看到几个年轻的,最多5-6,年纪30以下,这叼地方走走还有点累人,在市场第2条巷子找了个还算看的下去的,就是有点黑,也能接受,一个眼神暗号,然后轻声细语交谈下茶费,直接进去简单流程交货,总体不建议老远跑来解馋,适合南通兄弟们自己消化,待会再去转一圈回城。

❤2

2 Oct 2026, 16:40 UTC≈1,230 viewsread 4 October 2026

#上海 晚上闲来无事骑着电动车来到了立政路,导航极核电动车(立政路店)就能找到这条街,一条街足疗店都是200手推,300胸推,400臀推,做个200手推就行,其他的我觉得性价比不高,这次来我找了一个白衣服长的特漂亮的少妇,帮我打了10几分钟,最后摸着她的奶子使劲蹂躏终于出货了,长的是真漂亮,白衣服黄头发。

2 Oct 2026, 05:50 UTC≈1,530 viewsread 4 October 2026

#天津 昨晚和朋友吃完饭说带我去个好地方,我们三个人 有一个没喝酒 开车直接去了,到地方我还以为是哪里 原来是东丽的平房一条街 ,当时去已经凌晨1点多,刚去感觉 比以前的人少了很多 ,后来溜达了能有一小时左右 陆陆续续都出来了,好像有放风的 不过岁数大的偏多,讲讲价100就可以拿下 岁数大点的 我有点下不去手 转了半天 碰到一个30左右的少妇 一问价格 别人口➕大才150 她口➕大200,而且还得带套口,想着来都来了 能省50是50 最后 150拿下 泻火可以 ,没有什么情绪价值,但是150找个30左右的少妇 长相还不错是真的值,放在95的会所也得7 8百感觉,这趟没白去。刚去得溜达溜达他们有放风的。溜达一会姐姐们接到通知就出来了 别刚去就选 都是岁数大的 我去的是第二个十字路口 右1 目测一米六五左右偏瘦 长发 30左右看着, 朋友们可以试试 强烈推荐

1 Oct 2026, 17:48 UTC≈1,640 viewsread 4 October 2026
Photo

#崇左 崇左的富丽佳园也是比较出名的老景点了,这里上个月因为台风天内涝被水泡得挺严重,不过倒是恢复得挺快 直接进入正题,这里的小姐姐多是越南来的,不过基本都会中文 进到富丽佳园,里面的小姐姐一般分两种,一种是路边骑在电驴上的,会把你带到附近自建房小区的出租屋里面开干,这些一般是150限15分钟,带不带口活随缘,体验之前最好问清楚或者讨价还价 还有一种是附件里富丽佳园第二排站在店面门口的,谈好了就是直接带上楼做 这些一般姿色较好,但是150不带口得加钱,而且限10分钟,有些态度也不太好,有些不愿意给抱,总体来说不太推荐第二种 导航带路见附件 图一红线是小姐姐们大概在的位置 附件图二红圈就是富丽佳园第二排店面门口的,一般有2-3个站门口,但是不是每天都开门

Showing the 12 most recent of 150 posts we hold for @zjtime. 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.

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

“免费站街信息公告板[NSFW]” (@zjtime), 34,349 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/zjtime.

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.