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Channel

深圳五陵少年游

@wulingshenche

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

12,839subscribers

-170 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-1002092226854
TypeChannel
Username@wulingshenche
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/wulingshenche

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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

12,83913,00912,9246 August 2026 — 13,009 subscribers7 August 2026 — 13,007 subscribers8 August 2026 — 13,006 subscribers10 August 2026 — 13,000 subscribers11 August 2026 — 13,002 subscribers12 August 2026 — 12,998 subscribers13 August 2026 — 12,995 subscribers14 August 2026 — 12,993 subscribers16 August 2026 — 12,983 subscribers17 August 2026 — 12,979 subscribers18 August 2026 — 12,976 subscribers20 August 2026 — 12,970 subscribers20 August 2026 — 12,968 subscribers22 August 2026 — 12,955 subscribers23 August 2026 — 12,941 subscribers25 August 2026 — 12,939 subscribers26 August 2026 — 12,936 subscribers27 August 2026 — 12,930 subscribers28 August 2026 — 12,929 subscribers29 August 2026 — 12,925 subscribers31 August 2026 — 12,928 subscribers1 September 2026 — 12,920 subscribers2 September 2026 — 12,921 subscribers3 September 2026 — 12,918 subscribers5 September 2026 — 12,909 subscribers8 September 2026 — 12,900 subscribers11 September 2026 — 12,882 subscribers13 September 2026 — 12,872 subscribers14 September 2026 — 12,861 subscribers16 September 2026 — 12,854 subscribers19 September 2026 — 12,839 subscribers6 August 202619 September 2026
31 measurements spanning 43 days, net -170. 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 12,814–13,035 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
19 Sept 2026, 09:4112,839-15
16 Sept 2026, 19:3912,854-7
14 Sept 2026, 20:5812,861-11
13 Sept 2026, 05:3612,872-10
11 Sept 2026, 06:1712,882-18
8 Sept 2026, 11:1912,900-9
5 Sept 2026, 07:5612,909-9
3 Sept 2026, 12:5812,918-3
2 Sept 2026, 05:5212,921+1
1 Sept 2026, 05:3612,920-8
31 Aug 2026, 07:1712,928+3
29 Aug 2026, 09:4812,925-4
28 Aug 2026, 10:3612,929-1
27 Aug 2026, 08:2412,930-6
26 Aug 2026, 05:3312,936-3
25 Aug 2026, 03:5212,939-2
23 Aug 2026, 23:5312,941-14
22 Aug 2026, 06:2412,955-13
20 Aug 2026, 23:1612,968-2
20 Aug 2026, 01:1312,970first reading

Engagement

101 posts held, back to 2 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 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.16%
avg views ÷ 12,839 subscribers
Avg views / post
406
20 posts measured
Reaction rate
0.18%
reactions ÷ views · ER floor
Posts in window
20
of 101 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 6 of 20 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 1 September 2026
Posts held101 (2 August 20261 September 2026)
Views total8,117
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:50 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.

Reaction mix

14 reactions across 12 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14100.0%

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 14 of the 101 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 101 most recent posts we hold, published 2 August 2026 to 1 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

1 Sept 2026, 03:33 UTC141 views1 reactionsread 2 September 2026

#出击模板 【出击报告】 验证留名:t 老师昵称: 雨珂 电报号: @Yuke64 出击时间:8. 31 地市坐标:#深圳 #南山 上课花费:900p 出击体验:已经是翻修老客户了,雨珂够骚,来的时候几乎都被秒,洗澡时就开始服务,洗中箫,舌吻,大屁股,后去爽 优点缺点:很嫩 打分:五菱神车(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队报告: https://t.me/wulingshenche 五陵修车大队: https://t.me/szwl7 报告发送: @Wulingmei_bot(提交报告需要提供相关资料,如聊天记录,付款记录等)

1

1 Sept 2026, 03:25 UTC119 viewsread 2 September 2026

#出击模板 【出击报告】 验证留名:文文 老师昵称:龙华 茉莉 电报号: @moli641 出击时间:8.30 地市坐标:#深圳 #龙华 上课花费:800p 出击体验:冒着大雨出击,开门见到老师本人,确实是活泼的嫩妹,洗完澡之后,躺在床上享受老师的服务,先舌吻了一会,然后吹的硬邦邦,戴套之后让老师坐上来,女上位起手,前后左右上下,边动边磨。随后老师要求从后面来,换成后入的姿势,发现她更紧张,差点就被夹出来了。调整下呼吸,从慢到快,九浅一深,慢慢习惯紧度和湿度。一手拍打着大屁股,一手抓着奶子干了一会后,换成站立后入的姿势,老师也很配合。站立后入跟加刺激,随后让老师一只脚踩在床上,继续抽插,同时左手疯狂摩擦老师的阴蒂,一起出货,酣畅淋漓啊。 优点缺点:没 打分:五菱神车(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队报告: https://t.me/wulingshenche 五陵

31 Aug 2026, 13:58 UTC146 viewsread 2 September 2026

#出击模板 【出击报告】 验证留名:#bao 老师昵称:#莎莎 电报号: @shashals66 出击时间:2026.8.28 地市坐标:#深圳 #福田 上课花费:3000 体验报告: 第三次约莎姐了!让姐姐外出龙岗 路上心里还是迫不及待的见到姐姐!每次见面都很惊喜!性感水兰色包臀裙 性感的御姐 也爱上见面的仪式感 抱着姐姐心里乐开了花 给我的感觉 温柔 安心 性感 好聊 情绪价值拉满满!选了瑜伽老师剧情 姐姐代入感很好,一开始就帮我测身体的体脂率 肌肉量过程也玩的很开心 最近工作忙的比较晚 人有点疲惫 释放完深睡了会!每次约姐姐觉得很安心!能让彻底放松 玩各种青蛙🐸趴 爽的飞起 后面SPA时姐姐身体抹了精油趴在我身上来回蹭我滑动 最后姐姐躺在我的怀里,用大腿夹着我的大腿,另外一个大腿夹住我弟弟 实在太爽 又起飞了一次!还跟姐姐商量下次去外面包天!太爱姐姐了 打分:五菱神车(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五

31 Aug 2026, 04:35 UTC158 viewsread 2 September 2026

#出击模板 【出击报告】 验证留名:cgg 老师昵称: 雨珂 电报号: @Yuke64 出击时间:8. 30 地市坐标:#深圳 #南山 上课花费:900p 出击体验:阔别重逢,直接陪洗后进入正题。第一回合先选了一件红色吊带,雨珂的大胸大屁股天赋,展露无遗,我直接不含而立。先是给我从上到下的服务,口活很卖力,一如既往的好。随后到我进攻,双手不停把玩着她的大胸,一边舔弄,看着她被舔到痒得颤抖,颇有成就感。传教士开干,听着雨珂的呻吟,看着被干的波浪不断的大胸,差点就缴械了。立马停住动作,换成后入,一边拍打大屁股,一边冲刺一泻千里。 第二回合,又换了一件黑色蕾丝战衣,雨珂的胸太大了,蝴蝶结勉强挡住乳头,更加诱人了。这次先女上位,坐上来的时候,二弟被温热的包裹,不同于正面或者后入,女上的时候雨珂的下面更加炙热了。上一次就是这样被女上秒了,这次不能重蹈覆辙。雨珂变换这不同的女上姿势桩我,每当我控制不住的时候,立马打断她的施法

30 Aug 2026, 05:40 UTC906 views1 reactionsread 2 September 2026
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#出击模板 【出击报告】 验证留名:大大 老师昵称:奶糖兔 电报号: @naitangtus 出击时间:8.30 地市坐标:#深圳 #福田 上课花费:2100pp 出击体验:第二次复购 点中她了项目太多了,比之前去的都多 优点缺点:都是优点 打分:(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队报告: https://t.me/wulingshenche 五陵修车大队: https://t.me/szwl7 报告发送: @Wulingmei_bot(提交报告需要提供相关资料,如聊天记录,付款记录等)

1

29 Aug 2026, 15:37 UTC192 viewsread 2 September 2026

#出击模板 【出击报告】 验证留名:cgg 老师昵称: 雨珂 电报号: @Yuke64 出击时间:8. 28 地市坐标:#深圳 #南山 上课花费:900p 出击体验:宝藏里面的美女,按指引进入教室,老师人照有9分,小美女一枚,性格好,笑起来很好看。脱衣帮洗,骨感的身材很棒,皮肤白嫩光滑,🐻C,掌中宝,下面毛量正常,粉嫩粉嫩,浴室里亲亲抱抱,上床躺好,妹妹舔咪咪很认真,口活很棒,无齿感,不说停不停。感觉到了,带套开做,女上体力一般,但是里面很湿很烫很紧,包裹感强,放进去感觉就要被夹出来,妹妹夺感也很好,痛苦面具,叫声好听,配合度高,几个姿势顺利出货,抱着瘫软的妹妹摸一摸,舍不得放开,妹妹也不催,休息下,洗澡走人。妹妹属于高颜值身材控嫩妹,喜欢嫩嫩的颜值妹妹,必打卡。 优点缺点:很嫩 打分:五菱神车(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队报告: https://t.me/w

28 Aug 2026, 16:31 UTC229 views3 reactionsread 2 September 2026
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验证留名: 出击时间:2026-08-28 老师昵称:憨憨 联系方式:@hanghang1322 人照评分:0 颜值评分:0 身材评分:0 服务评分:0 态度评分:0 环境评分:0 综合评分:0 服务流程:要了一百块车费,不是本人,我拒绝之后问她情况,先把聊天记录删了,然后再拉黑 五陵修车大队报告: https://t.me/wulingshenche 五陵修车大队: https://t.me/szwl7 报告发送: @Wulingmei_bot(提交报告需要提供相关资料,如聊天记录,付款记录等)

3

28 Aug 2026, 07:56 UTC236 viewsread 2 September 2026

#出击模板 【出击报告】 验证留名:#xiao 老师昵称:#莎莎 电报号: @shashals66 出击时间:2026.8.25 地市坐标:#深圳 #福田 上课花费:3000 体验报告: 第三次约莎姐了!让姐姐外出龙岗 路上心里还是迫不及待的见到姐姐!每次见面都很惊喜!性感水兰色包臀裙 性感的御姐 也爱上见面的仪式感 抱着姐姐心里乐开了花 给我的感觉 温柔 安心 性感 好聊 情绪价值拉满满!选了瑜伽老师剧情 姐姐代入感很好,一开始就帮我测身体的体脂率 肌肉量过程也玩的很开心 最近工作忙的比较晚 人有点疲惫 释放完深睡了会!每次约姐姐觉得很安心!能让彻底放松 玩各种青蛙🐸趴 爽的飞起 后面SPA时姐姐身体抹了精油趴在我身上来回蹭我滑动 最后姐姐躺在我的怀里,用大腿夹着我的大腿,另外一个大腿夹住我弟弟 实在太爽 又起飞了一次!还跟姐姐商量下次去外面包天!太爱姐姐了 打分:五菱神车(玩具车不推荐 自行车一般 摩托车还行 大众车推荐

28 Aug 2026, 06:52 UTC199 viewsread 2 September 2026
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#出击模板 【出击报告】 验证留名: 坤门大师兄 老师昵称: 南山 让让 电报号: @nsrr520 出击时间: 8.27 地市坐标:#深圳 #南山 上课花费: 700 出击体验: 老师是一个小美女,别看年纪小但是屁股是真大,老师的服务态度是真没的说,会轻声细语的和你说话,还一直保持微笑服务,多的不说值得推荐 优点缺点: 嫩妹,服务态度好,屁股大 打分:(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队报告: https://t.me/wulingshenche 五陵修车大队: https://t.me/szwl7 报告发送: @Wulingmei_bot(提交报告需要提供相关资料,如聊天记录,付款记录等)

28 Aug 2026, 03:52 UTC171 views1 reactionsread 2 September 2026

#出击模板 【出击报告】 验证留名:dd 老师昵称: 雨珂 电报号: @Yuke64 出击时间:8. 27 地市坐标:#深圳 #南山 上课花费:900p 出击体验:约好时间指挥上楼,进门妹子很热情的打招呼,本人跟照片差不多,好嫩,好嫩,来到沙发上妹子热情的贴过来座在身上,聊了几句相互脱衣服,抱起妹子就去了浴室。洗完来到床上妹子开始舔胸,舔完舔蛋蛋,口交没有齿感,掰开小穴69户型正常,浅褐内粉,没有异味。戴套妹子洞洞有点小自己抓着肉棒慢慢插入,女上自己动会摇反馈真实。闭眼一直骚口,传教士插到底的感觉不错,妹子会配合换了几个姿势都配合,后入捏着屁股看着小穴一直夺,感觉快到了,抓着妹子双手一阵猛夺,妹子叫得大声感觉一到就发射了。总体来说妹子还是不错的,配合度听话态度好,女友感强,服务态度真的好、一直会反, 优点缺点:很嫩 打分:五菱神车(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队

1

28 Aug 2026, 03:51 UTC158 viewsread 2 September 2026

#出击模板 【出击报告】 验证留名:gg 老师昵称:龙华 茉莉 电报号: @moli641 出击时间:8.26 地市坐标:#深圳 #龙华 上课花费:800p 出击体验:下午没事看群 看到路上照片对味于是约好时间就迫不及待的出发了到了约定地点指引上楼开门第一眼看到一双雪白的大长腿就迫不及待的付了水费、随后坐在床上闲聊调情然后就拉着我去共浴擦干身体看到老师雪白的酮体真不亏是嫩妹三点粉嫩二弟直接起来站岗了于是抱着老师上床然后老师开始了他的服务过一会扔不住了带上雨伞传教士体位、一顿123、321然后老师喷了出来随后二弟也喷涌而出然后就趴在老师身上休息了一会、起身把战利品丢进厕所冲走洗完澡后休息了一会出门老师给了一个拥抱体验和好下次必返! 优点缺点:没 打分:五菱神车(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队报告: https://t.me/wulingshenche 五陵修车大

27 Aug 2026, 07:42 UTC≈1,180 viewsread 2 September 2026
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#出击模板 【出击报告】 验证留名:江总 老师昵称:奶糖兔 电报号: @naitangtus 出击时间:8.27 地市坐标:#深圳 #福田 上课花费:2100 出击体验:第二次找她了 今天做一次 第二次很意外 口爆出来了 太久太久没有出过2次了 整体很惊喜 优点缺点:优点比较多了 打分:99 分(玩具车不推荐 自行车一般 摩托车还行 大众车推荐 五菱神车强力推荐) 五陵修车大队报告: https://t.me/wulingshenche 五陵修车大队: https://t.me/szwl7 报告发送: @Wulingmei_bot(提交报告需要提供相关资料,如聊天记录,付款记录等)

Showing the 12 most recent of 101 posts we hold for @wulingshenche. 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

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 7 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“深圳五陵少年游” (@wulingshenche), 12,839 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/wulingshenche.

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.