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Channel

🅥武汉老师车评🅥

@whlou4

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

7,599subscribers

+2,426 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004303426158
TypeChannel
Username@whlou4
CreatedBetween 1 June 2026 and 7 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/whlou4

Growth

5,1737,5996,3867 August 2026 — 5,173 subscribers8 August 2026 — 5,178 subscribers11 August 2026 — 5,285 subscribers14 August 2026 — 7,599 subscribers7 August 202614 August 2026
4 measurements spanning 6 days, net +2,426. 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 4,809–7,963 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 05:467,599+2,314
11 Aug 2026, 03:575,285+107
8 Aug 2026, 03:555,178+5
7 Aug 2026, 18:025,173first reading

Engagement

75 posts held, back to 7 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 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.668%
avg views ÷ 7,599 subscribers
Avg views / post
50.8
75 posts measured
Reaction rate
0.566%
reactions ÷ views · ER floor
Posts in window
75
of 75 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 7 of 75 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 12 August 2026
Posts held75 (7 August 202612 August 2026)
Views total3,809
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:31 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
15s
Average length
5s

Measured directly from 3 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

4 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 7 of the 75 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 75 most recent posts we hold, published 7 August 2026 to 12 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.

Recent posts

12 Aug 2026, 03:50 UTC32 views0 reactionsread 12 August 2026
Photo

📱#晓晓 🌐#武昌 💴【学费】#6p #11pp 🛫【联系】@wuchangxiaoxiao12 🥂【双向】@aixierbot 📱【频道】https://t.me/dssdfeggh63 🫦【标签】#武昌 #选妃 #6p #11pp 报告车评查找机器人:@vlchattbot

12 Aug 2026, 03:41 UTC38 viewsread 12 August 2026
Photo

📱#小伊 🌐#洪山 #光谷 💴【学费】#6p 🛫【联系】@mimi1668 🥂【双向】@xiaoy1689_bot 📱【频道】 t.me/mimi1558 ❤️【硬件】C/168cm/49kg/21 🫦【标签】#洪山 #光谷 #6p #嫩妹 ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 🎉工兵优惠 @whlou7 💫学生群 @whbbb6 报告车评查找机器人:@vlchattbot

12 Aug 2026, 00:10 UTC107 viewsread 12 August 2026

通知: 工兵连出击受伤者,找管理员领取抚恤金 https://t.me/millyne1

12 Aug 2026, 00:02 UTC104 viewsread 12 August 2026
Photo

【会所】情景丝足会所 武汉9T 高端海选4T 狼友聚焦地 全裸9T 武汉歆歆4TSPA 武汉9T 武汉顶级全裸 【养生】汉口特惠养生 武汉养生4T会所 武汉4T风景区 【海选】 【娃娃】 【外围】 杰克外围 小米平价外围 武汉高端外围 翠花楼外围 精品外围 【抓龙筋】白沙洲抓龙筋 淼淼抓龙筋 红胭脂半裸抓龙筋 小狐狸抓龙筋 【98会所】 95/98外围 武汉三镇95/98 95/98/外围 【95口暴】沐沐95/98公寓 武汉三镇口暴 全裸4T 【私影】武汉私影天花板 蜜恋私影 愉悦私影 【KTV】武汉KTV阿辉 【MMC】武汉MMC/阿辉 武汉特色MMC 武汉MMC 【MMK】妙漫拾光MMK 桃桃MMK 【烟酒】阿天香烟 【裸聊】 【绿陪】 【其它】

11 Aug 2026, 23:53 UTC122 viewsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #武昌 #上门 #嫩妹 #8p #15pp 👤 老师:媛媛 (@yuan12337) 🔗 主页:https://t.me/wuhanhua1/17848?single ⭐ 综合:★★★★☆ 4/5 ├ 🎯 技能:★★★☆☆ 3/5 ├ 💗 情绪:★★★★☆ 4/5 ├ 🏡 环境:★★★★☆ 4/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 晚上睡不着 老师还在线果断约了个包夜 老师来的路上挺期待的 一进门果然人照一致没有让我失望激动的心情让我不知道该干什么了 老师长得特别精致雪白的皮肤和和漂亮的脸蛋身材也是前凸后翘 做爱的时候雪白的奶子在我眼前晃着让我欲罢不能光滑的大腿放在我的肩膀上视觉体验太完美了 出水后我猛然发现老师下面全是水湿漉漉的老师陪我聊了很多日常生活 情绪价值很到位 喜欢嫩妹的一定要冲 简直是物有所值 ━━━━━━━━

11 Aug 2026, 23:53 UTC60 viewsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #嫩妹 #8p #15pp #双飞 #舌 #汉口 #江汉 #上门 👤 老师:漫漫 (@Man_baby) 🔗 主页:https://t.me/wuhanhua1/18210?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 态度超级好,全程体验感拉满,课表服务都有做,水中萧,大蟒蛇,69,玩具,唯一没体验的就是足交,应有尽有。身体敏感,下面很紧,💦也很多做爱投入且动情。漫漫属于反差很强,脸是清纯小女生,开口却是带点辣味的御姐音,十分诱惑,全程都很热情完全没冷场,关键又很骚,进了浴室和床上那股子妩媚劲儿直接拉满,水中萧会含得很深,床上亲亲的时候还会主动拉着我的手放在胸和小穴上抚摸。小穴整体毛量适中,

11 Aug 2026, 23:53 UTC48 viewsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师:莉娅女王 (@as15665) 🔗 主页:https://t.me/wuhanhua1/16457 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 第一次约老师…,玩95,看了频道说的那么好,遥控上楼,老师很热情,教室很有气氛,丝袜挂满墙,高跟鞋五颜六色,真的多,情趣衣服也多,老师跟频道说的一样,服务非常好,仔细,贴心,技术牛的很,整个服务,完全是总享受,有空必须来,这服务,天花板了 ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-11 22:10 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou 技术聊天 @whlou6 武汉东湖 @whlou

11 Aug 2026, 23:53 UTC67 viewsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #南湖 #8p #15pp #嫩妹 #车震 #舌 #上门 👤 老师:白海豚 (@baihaitun04) 🔗 主页:https://t.me/wuhanhua1/19579 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★☆ 4/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 看到Ls新人我果断cj,进门老师高跟配的公主裙,最惹人眼的是一头乌黑长发,(村里有个姑娘叫小芳,辫子粗又长),Ls身材可以说非常完美,人照一样,本人看着更小更生动,婴儿肥这种,100斤左右的样子,话题打开后可可爱爱的,Ls对于服务只能说是非常配合,洗完进入主题,我如果说是我cj过bb最紧,问Ls她说大学就谈过三个,前面两个牵手抱抱小孩子过家家,年前破的处,然后就没有做过,臀部有肉非常

11 Aug 2026, 23:52 UTC51 viewsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ 1 👤 老师:小琪 (@xiaoqiqi159) 🔗 主页:https://t.me/wuhanhua1/15288?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★☆ 4/5 ├ 💗 情绪:★★★★☆ 4/5 ├ 🏡 环境:★★★★☆ 4/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 在武汉出差的这几天,天气热,心情也变得躁动起来,是时候出击了。约好时间叫小琪上我酒店来,见到老师的时候真的是太喜欢了,漂亮就算了身材真好,一脸清纯少女感。进房间坐下先闲聊几句,帮脱帮洗,今天欲望很强,在浴室就摁着老师浅吻起来,边吻老师会边用手帮你撸棒,撸着撸着水中萧伺候着,很是酥爽。出来帮擦上床,老师主动介绍带来的新入的情趣丝袜,那就直接试新的吧,黑丝袜穿上后简直美得很,这腿能玩不够。过程就不赘述了,一番调情战斗后戴上小雨伞,多个姿

11 Aug 2026, 23:52 UTC64 viewsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #欢乐大道 #4p #7pp #御姐 #陪浴 #sm #服务 👤 老师:扶摇 (@hgdd573) 🔗 主页:https://t.me/wuhanhua1/1711 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 扶摇老师N刷体验报告:最近台风过境,心情就如这阴雨天一样,闲来无事,约上扶摇老师来上一发,岂不美哉,话不多说,直奔主题,得知老师今天头课还在,果断约上。直奔欢乐大道,环境一如既往的温馨,比那些快餐妹临时租住的公寓好了不知道多少倍,顿时把我内心的小馋虫勾的直跳,就好像菜场买猪肉一样,总喜欢搞一个红色的灯光一样,给人一种宾至如归的感觉。见到老师,发现身材又好了不少,得知每天都锻炼身体,果然好

11 Aug 2026, 23:52 UTC47 viewsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #武昌 #6p #10pp #大胸 #身材 #情趣 👤 老师:米娜 (@MiNababy2) 🔗 主页:https://t.me/wuhanhua1/18185 ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★☆ 4/5 📝 评价内容: 看到频道的小视频选择出击的,驱车前往,到底目的地,停车方便,教室挺宽敞,开门看到大灯我就知道没错了,交了水费,洗澡上战场,口活不错,身材是我喜欢的,大雄大屁股,后入的感觉很棒,最关键是可以拍小视频留恋(记得证求老师的同意哈),喜欢欧美身材的闭眼冲 ━━━━━━━━━━━━━━ 🙋 评价人:匿名 🕒 时间:2026-08-12 00:00 ━━━━━━━━━━━━━━ 黄鹤楼群 @wuhanlou

11 Aug 2026, 23:52 UTC119 views1 reactionsread 12 August 2026

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #硚口 #大胸#服务 #包夜#舌吻#毒龙#98#御姐 👤 老师:白蝴蝶 (@dg1264) 🔗 主页:https://t.me/whlou1/825?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: ‘进门的一瞬间,视线就被一对浑圆饱满、极具冲击力的大灯牢牢抓住,形状诱人、晃动间带着无法忽视的性感,立刻让人血脉贲张。老师热情又主动,笑容甜、眼神会撩,完全没有生疏感,很快就把气氛调得又暧昧又放松。 进浴室后是日式凳浴,老师蹲在一旁仔细地从头到脚清洗,水温适中、手法干净利落,泡沫顺着皮肤滑落的感觉特别舒服,清洗过程本身就已经像一场小型前戏,把身体彻底放松又唤醒。 正式开始后,老师戴上眼罩、放上轻柔

1

Showing the 12 most recent of 75 posts we hold for @whlou4. 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

Citation-graph rank — 27,056 of 1,340,412entries 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.

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 19 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“🅥武汉老师车评🅥” (@whlou4), 7,599 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/whlou4.

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.