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Channel

深圳万人修车选妃【频道】

@wanrenszp

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

20,251subscribers

+217 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003090138173
TypeChannel
Username@wanrenszp
Description👇深圳万人选妃总群✅ https://t.me/wanrensz 👇万人选妃小程序✅ https://t.me/SZXFBOT/abcd 万人选妃队长 @duiz68 万人上榜管理 @szwr99 管理双向机器人 @wanrgbot 以上是万人选妃唯一账号
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live7 November 2026
Measurements held53
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/wanrenszp

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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 the other topics.

Growth

14,72330,43422,578.514 August 2026 — 20,034 subscribers16 August 2026 — 19,888 subscribers17 August 2026 — 19,754 subscribers18 August 2026 — 19,625 subscribers19 August 2026 — 19,606 subscribers20 August 2026 — 19,587 subscribers21 August 2026 — 19,577 subscribers23 August 2026 — 19,559 subscribers24 August 2026 — 19,522 subscribers25 August 2026 — 19,496 subscribers27 August 2026 — 18,075 subscribers27 August 2026 — 16,629 subscribers29 August 2026 — 15,576 subscribers30 August 2026 — 14,834 subscribers31 August 2026 — 14,735 subscribers1 September 2026 — 14,723 subscribers1 September 2026 — 30,434 subscribers2 September 2026 — 30,365 subscribers4 September 2026 — 29,350 subscribers7 September 2026 — 26,324 subscribers10 September 2026 — 24,218 subscribers12 September 2026 — 24,081 subscribers14 September 2026 — 23,888 subscribers16 September 2026 — 23,750 subscribers18 September 2026 — 23,429 subscribers30 September 2026 — 21,877 subscribers5 October 2026 — 21,771 subscribers10 October 2026 — 21,629 subscribers13 October 2026 — 21,507 subscribers15 October 2026 — 21,377 subscribers16 October 2026 — 21,325 subscribers17 October 2026 — 21,267 subscribers18 October 2026 — 21,229 subscribers19 October 2026 — 21,170 subscribers20 October 2026 — 21,110 subscribers21 October 2026 — 21,076 subscribers22 October 2026 — 20,978 subscribers23 October 2026 — 20,905 subscribers24 October 2026 — 20,812 subscribers25 October 2026 — 20,781 subscribers26 October 2026 — 20,716 subscribers27 October 2026 — 20,692 subscribers28 October 2026 — 20,656 subscribers29 October 2026 — 20,564 subscribers30 October 2026 — 20,495 subscribers31 October 2026 — 20,409 subscribers1 November 2026 — 20,358 subscribers2 November 2026 — 20,336 subscribers3 November 2026 — 20,335 subscribers4 November 2026 — 20,323 subscribers5 November 2026 — 20,319 subscribers6 November 2026 — 20,295 subscribers7 November 2026 — 20,251 subscribers20,25114 August 20267 November 2026
53 measurements spanning 85 days, net +217. 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 12,366–32,791 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
7 Nov 2026, 09:5820,251-44
6 Nov 2026, 11:0020,295-24
5 Nov 2026, 07:2720,319-4
4 Nov 2026, 08:1720,323-12
3 Nov 2026, 10:1420,335-1
2 Nov 2026, 09:3620,336-22
1 Nov 2026, 12:5420,358-51
31 Oct 2026, 12:1020,409-86
30 Oct 2026, 11:5020,495-69
29 Oct 2026, 08:3720,564-92
28 Oct 2026, 06:4620,656-36
27 Oct 2026, 04:2020,692-24
26 Oct 2026, 07:5020,716-65
25 Oct 2026, 08:3620,781-31
24 Oct 2026, 09:5620,812-93
23 Oct 2026, 12:1920,905-73
22 Oct 2026, 14:4920,978-98
21 Oct 2026, 11:5521,076-34
20 Oct 2026, 07:3621,110-60
19 Oct 2026, 07:2821,170first reading

Engagement

59 posts held, back to 13 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 64 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.19%
avg views ÷ 20,251 subscribers
Avg views / post
240
11 posts measured
Reaction rate
0.304%
reactions ÷ views · ER floor
Posts in window
11
of 59 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 3 of 11 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 2 November 2026
Posts held59 (13 August 2026 – 2 November 2026)
Views total2,645
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 15:15 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
≈2,570
Videos
≈582
Links
≈497

Lifetime counters from Telegram’s own channel header, read 7 November 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
5m 54s
Average length
7s

Measured directly from 54 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

12 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤975.0%
🎉18.33%
🏆18.33%
🙏18.33%

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 15 of the 59 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 59 most recent posts we hold, published 13 August 2026 to 2 November 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

Telegram’s own ‘edited’ marker: 0 of 11 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

2 Nov 2026, 11:55 UTC240 viewsread 7 November 2026
Photo

🎖已认证 类别:个人区 编号:z65872 艺名:深圳🥰露思儿~🈷️ 坐标:#罗湖区国贸 🚘💰1300P(45分钟) 🚘💰2500PP(90分钟) 【电报】@luzhao8 【标签】舌吻.69.可夜.可外.服务系.高颜值 【更多老师】点击电报小程序选妃

2 Nov 2026, 11:14 UTC290 views1 reactionsread 7 November 2026
Photo

🎖已认证 类别:个人区 编号:z81579 艺名:南山静静 坐标:#南山 🚘💰1000P(40分钟) 🚘💰1800PP(80分钟) 【电报】@jjy3344 【标签】可夜.可外.服务系.嫩妹.兼职.三点粉.筷子腿

❤1

2 Nov 2026, 11:03 UTC271 viewsread 7 November 2026
Photo

🎖已认证 类别:抓龙筋 编号:z15732 艺名:宝安婷婷 坐标:宝安西乡固戍 🚘💰400P(60分钟) 【电报】@tingting8896 【标签】抓龙筋.95.92

26 Oct 2026, 09:22 UTC575 viewsread 7 November 2026
Photo

🎖已认证 类别:个人区 编号:z88878 艺名:光明~小萌 坐标:#光明区 🚘💰700P(45分钟) 🚘💰1400PP(90分钟) 【电报】@caillllii 【标签】可夜.可外.服务系.嫩妹.兼职 【更多老师】点击电报小程序选妃

10 Oct 2026, 13:16 UTC203 viewsread 11 October 2026
Photo

🎖已认证 类别:抓龙筋 编号:z91410 艺名:深圳大湿兄:《金牌🥇娱乐》 坐标:#深圳全区 🚘💰598P(60分钟) 【电报】@szyldk 【标签】抓龙筋.95.94.口爆店.96.98 【更多老师】点击电报小程序选妃

10 Oct 2026, 13:11 UTC165 views1 reactionsread 11 October 2026
Photo

深圳全区《金牌🥇娱乐》 #94水会《金牌🥇水会》 #95口爆《金牌🥇会所》 #98全套《一条🐉服务》 无套💋爆~花式毒🐉~ 吃🥚舔🥚~真🈳调情~ 👅尖环游~🐻推全身~ 冰🔥两重~舔🦪摸🦪~ 69式互💋~爆👄👄里~ #94价格480-498(60分钟可出两次) #95价格580-598(60分钟口一手一) #96价格800 可操盘(70分钟口两次) #98价格1000起步(全套一条龙🐉服务) 微信QQ:只预约发位置、不聊项目、不聊敏感话题、非诚勿扰 选择佳丽:不提供相片、到店去挑选、不满意可以换、安排满意为止、🤝🤝 私聊联系:@szyldk 双向联系:@Sz95mishu_bot 微信:dsx959698 QQ联系:3655064401 频道:https://t.me/Szyldk95

❤1

10 Oct 2026, 06:47 UTC202 views0 reactionsread 12 October 2026
Photo

🎖已认证 类别:个人区 编号:z45537 艺名:甜甜圈小仙女🧚‍♀️(舞蹈生兼职🉑外卖) 坐标:#罗湖区罗湖区置地广场 🚘💰1200P(45分钟) 🚘💰2200PP(90分钟) 【电报】@bb52593 【标签】69.可夜.可外.高颜值.嫩妹 【更多老师】点击电报小程序选妃

9 Oct 2026, 17:06 UTC245 viewsread 12 October 2026
Photo

🎖已认证 类别:个人区 编号:z07807 艺名:舒淇 福田💕 坐标:#福田区岗厦北地铁站 🚘💰800P(45分钟) 🚘💰1500PP(80分钟) 【电报】@shuqibao 【标签】舌吻.69.可夜.可外.服务系 【更多老师】点击电报小程序选妃

9 Oct 2026, 13:14 UTC242 viewsread 12 October 2026
Photo

🎖已认证 类别:个人区 编号:z80962 艺名:维维 坐标:#宝安区坪洲地铁站 🚘💰800P(45分钟) 🚘💰1500PP(90分钟) 【电报】@abc28828 【标签】舌吻.可夜.可外.服务系 【更多老师】点击电报小程序选妃

9 Oct 2026, 06:25 UTC115 viewsread 9 October 2026
Photo

🎖已认证 类别:个人区 编号:z89209 艺名:小小新开🍓 坐标:#福田区 🚘💰1500P(45分钟) 🚘💰2800PP(90分钟) 【电报】@yy7600y 【标签】可夜.可外.服务系.高颜值 【更多老师】点击电报小程序选妃

9 Oct 2026, 05:19 UTC97 viewsread 9 October 2026
Photo

🎖已认证 类别:抓龙筋 编号:z42116 艺名:宝安晓晓 坐标:#宝安区 🚘💰400P(60分钟) 【电报】@xiao8698 【标签】抓龙筋.95.94.92 【更多老师】点击电报小程序选妃

5 Oct 2026, 09:39 UTC387 viewsread 9 October 2026
Photo

🎖已认证 类别:抓龙筋 编号:z45165 艺名:宝安 雯雯 坐标:#宝安区西乡固戌 🚘💰400P(60分钟) 【电报】@wenwen6696 【标签】抓龙筋.95.92 【更多老师】点击电报小程序选妃

Showing the 12 most recent of 59 posts we hold for @wanrenszp. 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

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

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳万人修车选妃【频道】” (@wanrenszp), 20,251 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/wanrenszp.

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.