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Channel

上海万人修车选妃【频道】

@wanrenp

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

31,235subscribers

+9,243 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002980878669
TypeChannel
Username@wanrenp
Description我们的👇万人选妃小程序✅ https://t.me/JMZLBOT/abcd 👇上海万人修车广场【总群】 https://t.me/wanrenq 万人队长 @duiz68 上榜管理 @mhan521 上榜管理双向 @wanrgbot 以上是万人选妃唯一账号 平台老师 1.经过多次认证 2.经过多次筛选 3.并且交有担保押金才上榜 三赔政策 1.假照包赔(200元内) 2.鸽子包赔(200元内) 3.被骗包赔(200元内)
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/wanrenp

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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

17,97038,51428,2427 August 2026 — 21,992 subscribers8 August 2026 — 21,856 subscribers9 August 2026 — 21,786 subscribers10 August 2026 — 21,693 subscribers11 August 2026 — 21,489 subscribers12 August 2026 — 21,409 subscribers13 August 2026 — 21,249 subscribers14 August 2026 — 21,010 subscribers16 August 2026 — 20,506 subscribers17 August 2026 — 20,265 subscribers18 August 2026 — 20,131 subscribers19 August 2026 — 19,966 subscribers20 August 2026 — 19,855 subscribers21 August 2026 — 19,619 subscribers23 August 2026 — 19,307 subscribers24 August 2026 — 18,980 subscribers25 August 2026 — 18,820 subscribers27 August 2026 — 18,718 subscribers28 August 2026 — 18,583 subscribers29 August 2026 — 18,332 subscribers30 August 2026 — 18,075 subscribers31 August 2026 — 18,007 subscribers1 September 2026 — 17,970 subscribers2 September 2026 — 38,514 subscribers3 September 2026 — 38,352 subscribers5 September 2026 — 38,194 subscribers8 September 2026 — 37,905 subscribers11 September 2026 — 37,545 subscribers13 September 2026 — 37,179 subscribers14 September 2026 — 37,009 subscribers16 September 2026 — 36,809 subscribers19 September 2026 — 36,625 subscribers25 September 2026 — 36,024 subscribers4 October 2026 — 35,813 subscribers8 October 2026 — 35,409 subscribers13 October 2026 — 33,400 subscribers14 October 2026 — 33,255 subscribers15 October 2026 — 33,203 subscribers16 October 2026 — 33,116 subscribers17 October 2026 — 32,999 subscribers18 October 2026 — 32,947 subscribers19 October 2026 — 32,869 subscribers20 October 2026 — 32,778 subscribers21 October 2026 — 32,726 subscribers22 October 2026 — 32,637 subscribers23 October 2026 — 32,556 subscribers24 October 2026 — 32,471 subscribers25 October 2026 — 32,360 subscribers27 October 2026 — 32,242 subscribers28 October 2026 — 32,178 subscribers29 October 2026 — 32,062 subscribers29 October 2026 — 31,951 subscribers31 October 2026 — 31,704 subscribers31 October 2026 — 31,582 subscribers1 November 2026 — 31,474 subscribers2 November 2026 — 31,440 subscribers3 November 2026 — 31,369 subscribers4 November 2026 — 31,280 subscribers5 November 2026 — 31,235 subscribers31,2357 August 20265 November 2026
59 measurements spanning 90 days, net +9,243. 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 14,888–41,596 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
5 Nov 2026, 22:5531,235-45
4 Nov 2026, 20:5931,280-89
3 Nov 2026, 20:2931,369-71
2 Nov 2026, 17:3731,440-34
1 Nov 2026, 20:4531,474-108
31 Oct 2026, 23:1631,582-122
31 Oct 2026, 01:0831,704-247
29 Oct 2026, 22:5731,951-111
29 Oct 2026, 02:0832,062-116
28 Oct 2026, 03:3132,178-64
27 Oct 2026, 02:3832,242-118
25 Oct 2026, 23:4532,360-111
24 Oct 2026, 20:5132,471-85
23 Oct 2026, 17:1532,556-81
22 Oct 2026, 19:4132,637-89
21 Oct 2026, 15:3832,726-52
20 Oct 2026, 12:3132,778-91
19 Oct 2026, 11:5432,869-78
18 Oct 2026, 08:3832,947-52
17 Oct 2026, 05:5032,999first reading

Engagement

313 posts held, back to 7 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 164 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.32%
avg views ÷ 31,235 subscribers
Avg views / post
99.8
73 posts measured
Reaction rate
0.34%
reactions ÷ views · ER floor
Posts in window
73
of 313 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 73 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 30 October 2026
Posts held313 (7 August 2026 – 30 October 2026)
Views total7,288
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 10:07 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
≈24,000
Videos
≈7,680
Links
≈4,170

Lifetime counters from Telegram’s own channel header, read 6 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
31m 00s
Average length
6s

Measured directly from 293 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

11 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 72.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤872.7%
👻19.09%
💯19.09%
😎19.09%

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 13 of the 313 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 313 most recent posts we hold, published 7 August 2026 to 30 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

Telegram’s own ‘edited’ marker: 0 of 73 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).

30 Oct 2026, 05:12 UTC441 viewsread 6 November 2026
Photo

🎖已认证 类别:中圈区 编号:9303 艺名:婷婷瑜伽老师 坐标:#徐汇区百第宜山大楼 🚘💰2000PP(70分钟) 【电报】点击预约 【标签】舌吻.服务系.高颜值.大胸.三点粉.大长腿.御姐 【更多老师】点击电报小程序选妃

30 Oct 2026, 04:52 UTC351 views1 reactionsread 6 November 2026
Photo

🎖已认证 类别:中圈区 编号:69954 艺名:闵行鱼鱼🐟纯欲嫩妹 坐标:#闵行区君莲闵都雅苑 🚘💰2000PP(70分钟) 【电报】点击预约 【标签】舌吻.69.可夜.可外.高颜值.大胸.嫩妹.萝莉.三点粉.兼职.学生.纯小白.大长腿 【更多老师】点击电报小程序选妃

❤1

30 Oct 2026, 04:48 UTC247 viewsread 6 November 2026
Photo

🎖已认证 类别:中圈区 编号:62612 艺名:普陀新人00后苏苏 🉑御🉑纯 坐标:#普陀区上青佳园31号楼 🚘💰2000PP(70分钟) 【电报】点击预约 【标签】舌吻.69.可夜.可外.服务系.高颜值.大胸.三点粉.大长腿.御姐 【更多老师】点击电报小程序选妃

29 Oct 2026, 05:55 UTC100 viewsread 29 October 2026
Photo

🎖已认证 类别:中圈区 编号:92357 艺名:嘉定小可 童颜巨乳 坐标:#嘉定区鹤旋路26弄(金运路地铁站1号口步行290米) 🚘💰2000PP(70分钟) 【电报】点击预约 【标签】舌吻.69.可外.高颜值.大胸.口爆.车震.嫩妹.萝莉.三点粉.兼职.大长腿.御姐 【更多老师】点击电报小程序选妃

29 Oct 2026, 05:47 UTC79 viewsread 29 October 2026
Photo

🎖已认证 类别:中圈区 编号:47950 艺名:松江冰宁🧊真实08年172cm嫩白长腿嫩妹 坐标:#松江区昂立大厦 🚘💰2000PP(70分钟) 【电报】点击预约 【标签】舌吻.高颜值.大胸.口爆.纯WT.三点粉.兼职.大长腿.御姐.SM 【更多老师】点击电报小程序选妃

29 Oct 2026, 05:36 UTC72 viewsread 29 October 2026
Photo

🎖已认证 类别:中圈区 编号:31818 艺名:普陀 箐箐 学妹兼职 极品身材 坐标:#普陀区绿地世纪城 🚘💰2100PP(70分钟) 【电报】点击预约 【标签】高颜值.大胸.嫩妹.萝莉.三点粉.兼职.学生.纯小白.大长腿 【更多老师】点击电报小程序选妃

27 Oct 2026, 14:50 UTC121 viewsread 28 October 2026
Photo

🎖已认证 类别:个人区 编号:x53140 艺名:浦东新人护士婉柠 坐标:#浦东新区浦东塘桥 🚘💰900P(45分钟) 🚘💰1600PP(90分钟) 【电报】@WanNing090 【标签】舌吻.69.可夜.可外.服务系.车震 【更多老师】点击电报小程序选妃

27 Oct 2026, 12:37 UTC118 viewsread 28 October 2026
Photo

🎖已认证 类别:中圈区 编号:3370 艺名:米乐 坐标:#闵行区龙柏井亭公寓 🚘💰2100PP(70分钟) 【电报】点击预约 【标签】69.可夜.可外.高颜值.大胸.口爆.大长腿.御姐 【更多老师】点击电报小程序选妃

26 Oct 2026, 09:47 UTC173 viewsread 28 October 2026
Photo

🎖已认证 类别:中圈区 编号:79612 艺名:塘桥极品08白小纯小萌(首次下海) 坐标:#浦东新区浦东南路2351弄14-21号 🚘💰2000PP(70分钟) 【电报】点击预约 【标签】舌吻.69.可外.高颜值.大胸.嫩妹.萝莉.三点粉.兼职.学生.纯小白.大长腿 【更多老师】点击电报小程序选妃

26 Oct 2026, 09:38 UTC116 viewsread 27 October 2026
Photo

🎖已认证 类别:中圈区 编号:61393 艺名:闵行新人小钰10月26初次下海 坐标:#闵行区中春路7228号 🚘💰2000PP(70分钟) 【电报】点击预约 【标签】舌吻.69.可夜.可外.高颜值.大胸.嫩妹.萝莉.三点粉.兼职.学生.纯小白.大长腿 【更多老师】点击电报小程序选妃

26 Oct 2026, 09:36 UTC63 viewsread 27 October 2026
Photo

🎖已认证 类别:中圈区 编号:67892 艺名:玖玖新人首开 坐标:#浦东新区365县道与水门路交叉口西南100米 🚘💰2100PP(70分钟) 【电报】点击预约 【标签】舌吻.69.可外.高颜值.大胸.嫩妹.三点粉.兼职.大长腿.御姐.模特 【更多老师】点击电报小程序选妃

26 Oct 2026, 01:47 UTC6 viewsread 26 October 2026
Photo

🎖已认证 类别:个人区 编号:x14739 艺名:苗苗 坐标:#浦东新区蓝村 🚘💰500P(45分钟) 🚘💰900PP(90分钟) 【电报】@qq8881122 【标签】可夜.可外.服务系 【更多老师】点击电报小程序选妃

Showing the 12 most recent of 313 posts we hold for @wanrenp. 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.

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 3 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.

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

“上海万人修车选妃【频道】” (@wanrenp), 31,235 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/wanrenp.

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.