⚡️地区:南山桃吱 ⚡️私聊:@ndxmtz7 ⚡️频道:https://t.me/+nA_CiQKJOt83NWJl #嫩妹 #舌吻 #六九 #丝袜制服 #南山

Channel
深圳—美少女鉴赏
@shenzhenjianshang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
21,730subscribers
+3,343 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002289372787 |
|---|---|
| Type | Channel |
| Username | @shenzhenjianshang |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/shenzhenjianshang |
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 10 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 00:21 | 21,730 | +90 |
| 15 Sept 2026, 19:17 | 21,640 | +251 |
| 14 Sept 2026, 00:37 | 21,389 | +295 |
| 12 Sept 2026, 05:36 | 21,094 | +245 |
| 10 Sept 2026, 00:20 | 20,849 | +292 |
| 6 Sept 2026, 20:00 | 20,557 | +145 |
| 4 Sept 2026, 09:56 | 20,412 | -257 |
| 3 Sept 2026, 00:38 | 20,669 | +30 |
| 1 Sept 2026, 21:14 | 20,639 | -29 |
| 31 Aug 2026, 20:16 | 20,668 | +136 |
| 30 Aug 2026, 19:54 | 20,532 | +58 |
| 29 Aug 2026, 23:13 | 20,474 | +78 |
| 29 Aug 2026, 00:33 | 20,396 | -4 |
| 28 Aug 2026, 00:24 | 20,400 | +58 |
| 26 Aug 2026, 23:26 | 20,342 | +88 |
| 25 Aug 2026, 21:43 | 20,254 | +2 |
| 24 Aug 2026, 23:34 | 20,252 | +7 |
| 23 Aug 2026, 08:34 | 20,245 | +118 |
| 21 Aug 2026, 19:54 | 20,127 | +61 |
| 20 Aug 2026, 16:43 | 20,066 | first reading |
Engagement
91 posts held, back to 4 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 60 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.06%
- avg views ÷ 21,730 subscribers
- Avg views / post
- 882
- 35 posts measured
- Reaction rate
- 0.17%
- reactions ÷ views · ER floor
- Posts in window
- 35
- of 91 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 13 of 35 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 91 (4 August 2026 – 3 September 2026) |
| Views total | 30,887 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 18:24 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
- 6m 07s
- Average length
- 10s
Measured directly from 37 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
31 reactions across 22 posts, in 2 distinct kinds. The most used accounts for 87.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 87.1% | |
| 👍 | 4 | 12.9% |
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 31 of the 91 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 91 most recent posts we hold, published 4 August 2026 to 3 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
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❤3
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❤3
⚡️地区:福田小火狸 ⚡️私聊:@xhl78 ⚡️频道:@xhl77889 #嫩妹 #舌吻 #六九 #丝袜 #福田
⚡️地区:龙华果果 ⚡️私聊:@guoguomm66 ⚡️频道:@guoguoxoxoxo #嫩妹 #舌吻 #六九 #丝袜 #龙华
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👍1
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👍1
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Showing the 12 most recent of 91 posts we hold for @shenzhenjianshang. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@xxxxtttuu · 2,59610 posts林林的舞蹈分享
@rhikhf · 1,4612 posts贝贝宝宝贝贝
@BBBBei06 · 2,0821 post泡泡乐园
@Paopaozainanshan · 7,0261 post美少女鉴赏(中转站)
@SZGYHQG · 1,1131 post宝安 花花😘雯宝(双飞)
@beibei655 · 1,9761 post暖暖咪的朋友圈
@nnm36d · 971 post福田开课啦!双胞胎暖暖的♥️秘密花园
@nuanuan7561 · 5,5041 post顶美的生活日记
@sghsjsksmd6687 · 4,6521 post莹子今天没吃饱
@yzbbxcf · 1,0331 post双双,后花园💋💋💋
@zbfhjm69 · 2251 post
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 13 registered channels — 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.
@xxxmmmjjja · 33,9418 postsLotteryBest抽奖导航
@lotterynav · 174,1781 post林林的舞蹈分享
@rhikhf · 1,4611 post素素的快乐小窝
@Susu007x · 1011 postCoco Elva Tia
@sweetcoco520 · 2471 post美少女鉴赏(中转站)
@SZGYHQG · 1,1131 post深圳.洗浴会所-选妃指南
@szjstuku · 1,7651 postMarry you💍
@szmerry · 2041 post福田极品,十八男大
@szmnsjs · 1011 post天天免费抽奖
@tiantianchoujiang · 1,3861 post频道
@ufhhjcbk · 1271 post南山 小悔の忏悔录
@yinggaiand · 1921 post小葵🌻魔仙堡~
@zi10101010 · 5081 post
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,747,9808 posts深圳—少女鉴赏指南
@szsnzn · 9,5448 posts美少女鉴赏(中转站)
@SZGYHQG · 1,1136 posts深圳—美少女交流
@shenzhenmsnlb · 10,5992 posts贝贝宝宝贝贝
@BBBBei06 · 2,0821 post宝安 花花😘雯宝(双飞)
@beibei655 · 1,9761 post深圳。艾喜悅。高端。SPA
@i4u123spa · 15,7421 post南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 8,0471 post宝安 Marina (法国模特)
@Marina64823 · 6,2031 post深圳#按摩、#SPA、#抓龙筋、#喝茶私家会所
@mchhdtl · 3761 post星星天空
@mosikoddo · 1,0491 post小甜甜的私生活😘😘
@PP52014131 · 11,5651 post顶美的生活日记
@sghsjsksmd6687 · 4,6521 post深圳樱花の湯·日式裸身风俗泡泡浴
@szlsppy · 15,1041 post宝安 佳乐🏠 (无🐱白虎一线天嫩妹)
@tsnk18 · 3,6221 post性感女神的私生活
@xgns666999 · 2,0891 post小火狸的朋友圈🧚♀️
@xhl77889 · 2,4641 post深圳🔥🔥南山🔥175小糯米御姐极品冷白皮车模1群
@xiaonuomihenbang · 16,4061 post小玉空间
@xiaoyunono · 1331 post千千的朋友圈(开课中)
@xiuxiu1863 · 2121 post小温在深圳南山开课中💗
@xw070213 · 3,7811 post龙华依琳23岁(平面模特)个人兼职❤️
@YLYL444 · 6,4391 post双双,后花园💋💋💋
@zbfhjm69 · 2251 post优米妙妙屋
@zz000xiao · 3,1411 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@shenzhenjianshang named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 18 August 2026 – 18 August 2026 · confirmed gone 13 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
“深圳—美少女鉴赏” (@shenzhenjianshang), 21,730 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/shenzhenjianshang.
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.