Channel
@wulingshenche
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
12,993subscribers
-16 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002092226854 |
|---|---|
| Type | Channel |
| Username | @wulingshenche |
| Description | 五陵少年争缠头，一曲红梢不知数 五陵少年群: @szwl7 五陵老师榜: https://t.me/+NB-0cwiOM_00ZGY1 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/wulingshenche |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 23:28 | 12,993 | -2 |
| 13 Aug 2026, 13:07 | 12,995 | -3 |
| 12 Aug 2026, 15:04 | 12,998 | -4 |
| 11 Aug 2026, 16:14 | 13,002 | +2 |
| 10 Aug 2026, 12:57 | 13,000 | -6 |
| 8 Aug 2026, 09:07 | 13,006 | -1 |
| 7 Aug 2026, 12:08 | 13,007 | -2 |
| 6 Aug 2026, 22:47 | 13,009 | first reading |
58 posts held, back to 2 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 19 pagesof Telegram’s post history, 20 posts per page.
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 5 of 58 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 58 (2 August 2026 – 15 August 2026) |
| Views total | 19,597 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 12:08 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.
Lifetime counters from Telegram’s own channel header, read 15 August 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.
4 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 5 of the 58 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 2 August 2026 to 15 August 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.
#出击模板 【出击报告】 验证留名：M 老师昵称：小椰奶 电报号: @xiaoyenais 出击时间：8-14 地市坐标：#深圳 #福田 上课花费：1100P 出击体验：第二次光顾椰奶，进门便勾起欲火，绝佳身材，纤腰丰乳，全身肌肤雪白细腻，仔细陪浴后，纵情拥吻，香软舌尖在身上游动，情欲满满，口活几乎欲仙欲死。做爱共赴巫山云雨山巅。彼此爱抚，吐息间都如此契合。 优点缺点：无缺点，非常合意的粉嫩小姐姐。 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）
#出击模板 【出击报告】 验证留名:noou 老师昵称：宝安，冰冰 电报号: @bingbing174 出击时间：8.13 地市坐标：#深圳 #宝安 上课花费：700p 出击体验：约上冰冰老师便马上出发。到达后就看到冰冰的笑容，颜值较高，大家好像自来熟一样就开始聊天，聊了会才去一起洗澡。回到床上冰冰开始服务我，蛇管饱，服务也好。女上开始，摇得舒服。然后传教士，抱着出水。休息了一会去洗澡，再聊了一会才不舍离开。 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）
#出击模板 【出击报告】 验证留名：poo 老师昵称：龙华 茉莉 电报号: @moli641 出击时间：8.13 地市坐标：#深圳 #龙华 上课花费：800p 出击体验：出击完毕，满意而归，妹妹YYDS，人照百分百，非常漂亮，穿上黑丝简直可以分分钟把我拿捏身材爆炸，屁股翘，小蛮腰，胸型好看，乳头小恰似小荷才露尖尖角，不高冷聊天很舒服。还有陪洗服务，有女友感，皮肤细腻紧致，很白很滑，尤其大白屁股，后入时视觉冲击感很强，简直把持不住，妹子全程配合度高，很舒服，给力，好玩刺激。强烈推荐 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）
Telegram必备的搜索引擎，极搜JISOU帮你精准找到，想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6965085554
#出击模板 【出击报告】 验证留名：kkk 老师昵称： 雨珂 电报号: @Yuke64 出击时间：8. 13 地市坐标：#深圳 #宝安 上课花费：900p 出击体验：超级棒，老师很漂亮😭身材很好，耐心热情，能找话题聊天带动氛围，服务很认真，口活一流，会配合各种姿势，反正很舒服很沉浸很陶醉就对了。身材带感，叫声喘息声太勾人魂魄了，很会夹会扭。水很多，很舒服缺点就是 美好的时间总是短暂😭不然想做到天荒地老永不休。 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）
> 福田 奶糖兔 🉑69🉑深喉（开课🀄️）: #出击模板 【出击报告】 验证留名：三陆 老师昵称：奶糖兔 电报号: @naitangtus 出击时间：8.13 地市坐标：#深圳 #福田 上课花费：1200-卷 出击体验： 一个字棒，两个字很棒，三个字非常棒。 优点缺点： 人美，感觉像是川渝妹子，皮肤也好。服务好，全流程不偷懒，躺着闭眼享受即可。无脑冲就完事了。 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）
#出击模板 【出击报告】 验证留名：kooi 老师昵称：龙华 茉莉 电报号: @moli641 出击时间：8.13 地市坐标：#深圳 #龙华 上课花费：800p 出击体验：进来第一眼看见老师穿了一件性感吊带裙，那两个大白兔一闪一闪，眼花缭乱，让我有点把持不住，老师拿着拖鞋给换鞋，拉着我坐沙发上抚摸，我的老二实在忍不住了，硬邦邦的，老师说走洗澡去，我感觉老师好坏，把我搞得受不了就带我去洗，好想按住她，在床上干一顿，但是我喜欢她坏坏的模样，顺手牵着我的老二去浴室，第一次有这样的感觉，坏坏的又可爱，服务相当好，在浴室蹭的我受不了，又来一波水中箫，太让我上头，唉，就地惩罚一下吧，在浴室就干上了。这种感觉前所未有，说真的，我出击了这么多次，第一次有这么冲动的感觉，不管是颜值方面，还是服务方面这价格花的真值，真的特别值，遇上了宝藏，我相信以后会经常光顾，有女友感。她那妩媚的眼神笑起来很勾魂，不多说，自行体会 优点缺点：没 打分：…
#出击模板 【出击报告】 验证留名：poop 老师昵称：龙华 茉莉 电报号: @moli641 出击时间：8.11 地市坐标：#深圳 #龙华 上课花费：800p 出击体验：本人果然是美女啊，很有味道，不是那种统一模版，🐻够大身材很好，皮肤又白，声音软糯，硬件是很够用了。 态度也特别好，py时候看着白皙的姣好身材已经硬的飞起，清洗完毕赶紧上床，挑了件性感蕾丝，很好看，我已经等不及开始品尝她的全身，下面居然有点轻微甜味，老师口的时候都感觉异常舒服，又深又有吸力，口了很久，女上进入以后开始征战，每个姿势都让我舒服的感觉可射，叫床的声音充满性感，最后选了我最喜欢的姿势，听着她在耳边娇喘喊着老公爸爸发射在深处，射了很久，通透了，一身的汗 走后回味无穷，我已经想着下次再会了！ 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/wu…
#出击模板 【出击报告】 验证留名：hok 老师昵称：南山 雨珂 电报号: @Yuke64 出击时间：8. 10 地市坐标：#深圳 #南山 上课花费：900p 出击体验：遥控上楼，人照基本一致，瘦小，胸是真的大，也很挺，腿也挺好看的，硬件99分，69舌吻管够，无敌棒。玩弄了很久大波，一摸老师下面湿了，就带套开始，小穴挺紧致的，老师女上不太熟练，所以还是我来主动。传教可以看见老师胸部抖动，老师也挺享受，慢慢捉着我胳膊，换了几个姿势后忍不住出水了。 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
#出击模板 【出击报告】 验证留名:hoou 老师昵称：宝安，冰冰 电报号: @bingbing174 出击时间：8.11 地市坐标：#深圳 #宝安 上课花费：700p 出击体验：进门就🐍，🐍到天荒地老。硬邦邦，洗洗就冲。进入正题。第N刷了。直奔主题。都N次了。不用多说了。冲就完。性价比第一。 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）
#出击模板 【出击报告】 验证留名：峡谷第一深情 老师昵称：福田姜允 电报号: @jiangyuns 出击时间：8月9 地市坐标：#深圳 #福田 上课花费：900 出击体验：看到小姐姐视频挺漂亮的，就放心过去了。开门看到本人跟视频差不多，就放心冲了。洗完澡躺平，小姐姐帮服务一下，感觉挺好的，服务时间也长。后续开始操盘，换了两个姿势，都挺配合，没任何不适，小弟弟反馈兴奋，顺利出水 优点缺点：嫩妹非小只 打分：神车推荐（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）
#出击模板 【出击报告】 验证留名：po 老师昵称：龙华 茉莉 电报号: @moli641 出击时间：8.10 地市坐标：#深圳 #龙华 上课花费：800p 出击体验：临时决定出来玩，发现老师在附近有空，就过来试一试，见面就发现老师超好看，立马决定升级pp开玩。交完水费就去🛀洗澡，服务超级好，然后来到房间躺到床上，老师的舌头超级厉害，一下就没顶住交了一水，老师也是很耐心慢慢帮我按摩，帮我恢复，老师也不催恢复后就开始二战，可能是刚射完，做的时间挺长，老师也很配合，完事居然还有回笼，这次临时决定出击收到了意想不到的结局，放心冲 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 五陵修车大队: https://t.me/szwl7 报告发送: @Wulingmei_bot（提交报告需要提供相关资料…
Showing the 12 most recent of 58 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.
Citation-graph rank — 175,996 of 1,480,688entries 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.
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.
Named by 4 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.
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.
@wulingshenche named 2 handles 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.
References a handle that is not a live channel — we have no record it ever was one.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳五陵少年游” (@wulingshenche), 12,993 subscribers as measured 14 August 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.