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Telegram profile photo for 城中村站街扫街探店嫖娼

Channel

城中村站街扫街探店嫖娼

@JP_JAVS

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

4,953subscribers

+32 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003636373586
TypeChannel
Username@JP_JAVS
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live15 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/JP_JAVS

Growth

4,9214,9534,93714 Aug 2026, 13:17 — 4,921 subscribers15 Aug 2026, 08:16 — 4,953 subscribers14 Aug 2026, 13:1715 Aug 2026, 08:16
2 measurements taken within a single day, net +32. 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 4,916–4,958 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 08:164,953+32
14 Aug 2026, 13:174,921first reading

Engagement

7 posts held, back to 13 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.08%
avg views ÷ 4,953 subscribers
Avg views / post
202
7 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
7
of 7 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 August 2026
Posts held7 (13 August 202614 August 2026)
Views total1,414
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 13:17 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
48m 29s
Average length
6m 56s

Measured directly from 7 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.

Recent posts

14 Aug 2026, 11:19 UTC61 viewsread 14 August 2026
Photo

#城中村 #扫街 #站街 #嫖娼 城中村按摩这个娘们给力,倒立吹箫,高潮不断。 ✅✅推荐24小时自助入会通道😏😙🤩 {优先推荐使用支付宝} ✅ 全国最新版扫街站街女位置信息资源 👈 点击加入 ✅ 高清完整版偷拍嫖娼视频 👈 点击加入

14 Aug 2026, 11:19 UTC58 viewsread 14 August 2026
Photo

#扫街 #探店 #吃鸡 无锡扫街,小巷里的姐姐个个颜值真的都很高

14 Aug 2026, 08:10 UTC100 viewsread 14 August 2026
Photo

#扫街 #探店 #吃鸡 城中村扫街,好多姐姐在打招呼

14 Aug 2026, 05:15 UTC184 viewsread 14 August 2026
Video

#扫街 #探店 #吃鸡 鸡场街好多妇女在聚集,走不动路的老大爷也喜欢来这里逛热闹

14 Aug 2026, 02:07 UTC212 viewsread 14 August 2026
Video

#扫街 #探店 #吃鸡 西北城中村,足浴鸳鸯浴,小姐姐颜值还是很高的

13 Aug 2026, 23:14 UTC263 viewsread 14 August 2026
Video

#扫街 #探店 #吃鸡 城中村打洞钻孔,三五成群的小姐姐在等有缘人

13 Aug 2026, 11:16 UTC536 viewsread 14 August 2026
Photo

#城中村 #扫街 #站街 #嫖娼 城中村按摩店极品丰满少妇,一眼就有感觉,挺枪直入吧! ✅✅推荐24小时自助入会通道😏 😙🤩 {优先推荐使用支付宝} ✅ 全国最新版扫街站街女位置信息资源 👈 点击加入 ✅ 高清完整版偷拍嫖娼视频 👈 点击加入

Showing the 7 most recent of 7 posts we hold for @JP_JAVS. 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.

Citation-graph rank

Citation-graph rank — 1,258,255 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 1 registered channel — 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.

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

“城中村站街扫街探店嫖娼” (@JP_JAVS), 4,953 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/JP_JAVS.

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.