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Channel

武汉认证榜

@LG88995

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

34,717subscribers

-2,057 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001408517660
TypeChannel
Username@LG88995
Description【修车老总】 @xiaoji888bot 【修车频道】 https://t.me/LG88995 【修车老群】https://t.me/LG89895 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888
CreatedBetween 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live26 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/LG88995

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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

34,71737,18635,951.512 August 2026 — 36,774 subscribers12 August 2026 — 36,774 subscribers12 August 2026 — 36,796 subscribers13 August 2026 — 36,872 subscribers14 August 2026 — 37,186 subscribers16 August 2026 — 37,097 subscribers17 August 2026 — 37,098 subscribers18 August 2026 — 37,144 subscribers19 August 2026 — 37,140 subscribers20 August 2026 — 37,172 subscribers21 August 2026 — 37,135 subscribers22 August 2026 — 36,831 subscribers24 August 2026 — 36,633 subscribers25 August 2026 — 36,560 subscribers26 August 2026 — 36,535 subscribers27 August 2026 — 36,577 subscribers29 August 2026 — 36,458 subscribers30 August 2026 — 36,302 subscribers31 August 2026 — 36,286 subscribers1 September 2026 — 36,272 subscribers2 September 2026 — 36,244 subscribers3 September 2026 — 36,136 subscribers5 September 2026 — 36,090 subscribers8 September 2026 — 35,807 subscribers11 September 2026 — 35,589 subscribers13 September 2026 — 35,202 subscribers14 September 2026 — 35,176 subscribers16 September 2026 — 35,032 subscribers19 September 2026 — 34,840 subscribers26 September 2026 — 34,717 subscribers12 August 202626 September 2026
30 measurements spanning 45 days, net -2,057. 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 34,347–37,556 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
26 Sept 2026, 05:4234,717-123
19 Sept 2026, 07:3734,840-192
16 Sept 2026, 21:3635,032-144
14 Sept 2026, 21:5935,176-26
13 Sept 2026, 08:1535,202-387
11 Sept 2026, 07:5435,589-218
8 Sept 2026, 09:1835,807-283
5 Sept 2026, 05:5636,090-46
3 Sept 2026, 13:2036,136-108
2 Sept 2026, 08:4236,244-28
1 Sept 2026, 09:2736,272-14
31 Aug 2026, 05:5536,286-16
30 Aug 2026, 05:0336,302-156
29 Aug 2026, 01:5436,458-119
27 Aug 2026, 22:5636,577+42
26 Aug 2026, 21:2436,535-25
25 Aug 2026, 18:3636,560-73
24 Aug 2026, 15:4836,633-198
22 Aug 2026, 23:2536,831-304
21 Aug 2026, 12:5537,135first reading

Engagement

32 posts held, back to 31 July 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 78 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.80%
avg views ÷ 34,717 subscribers
Avg views / post
2,010
17 posts measured
Reaction rate
0.063%
reactions ÷ views · ER floor
Posts in window
17
of 32 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 17 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 28 September 2026
Posts held32 (31 July 2026 – 28 September 2026)
Views total34,249
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 18:42 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
758
Videos
145
Links
47

Lifetime counters from Telegram’s own channel header, read 28 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 46s
Average length
12s

Measured directly from 9 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

17 reactions across 12 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤17100.0%

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 13 of the 32 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 31 July 2026 to 28 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

28 Sept 2026, 06:39 UTC313 viewsread 28 September 2026
Photo

业界NO.1 🟡花名:#莉莉 🕐位置:#武汉 #江岸 🤖双向:@lilii5665bot 🚀电报:@lili2593 🔔小窝: @lilii2 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 可上门 🔰【格言 】 岁月赐予你优雅的年轮,而你赋予岁月无限的生机。 🔰#点击下方查看详情⬇️

26 Sept 2026, 13:16 UTC688 views0 reactionsread 28 September 2026
Photo

圈界NO.1 🟡昵称: 🕐地区:# 🤖双向:@xianyu5201_bot 🚀电报:@xianyu5201 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】你的轮廓线条柔美流畅,没有生硬尖锐的棱角,柔和的五官,带给人内心抚慰,看着就让人觉得很舒服。 🔰#点击下方查看详情⬇️

26 Sept 2026, 10:47 UTC677 viewsread 28 September 2026
Photo

圈界NO.1 🟡昵称:琳琳 🕐地区:#洪山区 🤖双向: 🚀电报:@Mvx2588 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 🔰#点击下方查看详情⬇️

22 Sept 2026, 07:08 UTC≈1,380 views1 reactionsread 28 September 2026
Photo

业界NO.1 🟡花名:小兰花 🕐位置:#光谷 🤖双向:@xlhxlh_bot 🚀电报:@yumi2045 🔔小窝: 点击浏览频道👀 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 🔰【格言 】 偶尔蹙眉的神态也别有一番韵味,不是愁苦,而是独有的氛围感,连细微的小表情,都拥有别样美感。 🔰#点击下方查看详情⬇️

❤1

20 Sept 2026, 13:23 UTC≈1,530 views2 reactionsread 28 September 2026
Photo

#武汉抓龙筋 #武昌 #洪山区 #白沙洲 #半裸spa #龟责寸止 #前列腺高潮 #柔式SPA #三起三落 #COS变装 #激情潮喷 #泡泡浴 #半裸互动 武汉浅浅&激情潮喷半裸抓龙筋是个人工作室,注重男性私密保养,老师温柔多情,手法独到,项目丰富有情调,值得一试哦💗在此承诺绝无任何隐形消费、绝无套路、绝不偷钟、服务时间内不限次数! A套餐*💰600/45min 全身精油spa+全身酥麻漫游+亲密柔式互动+火山热石抓龙筋+手足激情释放! 推荐指数:⭐️⭐️⭐️ B套餐*💰700/60min 全身精油spa+全身酥麻漫游+亲密柔式互动+火山热石抓龙筋(舒筋养护)+阴囊精索拨筋+会阴开穴+手足激情释放! 推荐指数:⭐️⭐️⭐️⭐️ C套餐*💰800/80min 全身精油spa+全身酥麻漫游+亲密柔式互动+火山热石抓龙筋(助勃/增粗/延时)+阴囊精索拨筋+会阴开穴+丝袜龟责&寸止(丝袜可带走)+三起三落&脱敏训练+深度前列腺开发…

❤2

18 Sept 2026, 06:44 UTC≈2,440 views1 reactionsread 26 September 2026
Photo

圈界NO.1 🟡昵称: 晴晴🕐地区:#武昌 🤖双向:@hhahhbbabjbot 🚀电报:@qingsjkakl 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 愿你眼里有星辰,手里有鲜花,脚下有远方,心中有梦想。 🔰#点击下方查看详情⬇️

❤1

17 Sept 2026, 12:19 UTC≈2,400 viewsread 26 September 2026
Photo

圈界NO.1 🟡昵称:橙子🍊 🕐地区:#武昌区 🤖双向:@bao5212_bot 🚀电报:@bao5212 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 68. 腹有诗书气自华,你的才情让你在人群中出类拔萃。 🔰#点击下方查看详情⬇️

14 Sept 2026, 14:22 UTC≈3,860 views2 reactionsread 26 September 2026
Photo

业界NO.1 🟡花名:❤️嘟嘟 🕐位置:#江汉区 🤖双向:@mapmaobot 🚀电报:@maomao850321 🔔小窝: 点击浏览频道👀 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 🔰【格言 】 你开怀展露笑颜的时候,仿佛世间繁花尽数盛开,热烈鲜活的感染力,能够轻易感染身边的每一个人。 🔰#点击下方查看详情⬇️

❤2

11 Sept 2026, 13:31 UTC≈4,470 viewsread 22 September 2026
Photo

新来高颜值嫩妹开工兵半价出击券,感兴趣的兄弟可以进群抽奖:https://t.me/AAJJ99880

10 Sept 2026, 16:17 UTC≈4,290 viewsread 20 September 2026
Photo

😃武汉最大的门店海选SPA顶级服务莞式服务一条龙权威认证嫩妹全裸全裸9️⃣🔠任盘舔逼😡👅 🤕全裸9️⃣🤩SPA全场嫩妹任盘 🤯服务天花板、韵味少妇、服务大师、大胸导师 异域风情应有尽有、绝对的高质量高颜值嫩妹 😀原价:4️⃣9️⃣8️⃣ 😀活动价:3️⃣8️⃣0️⃣ 😀服务时间60分钟 出勤10➕ 😵双飞特价➕3️⃣0️⃣0️⃣一龙二凤 😀环境高档招待领导 朋友聚会不二选择。房间带淋浴,私密性拉满 😀没有T路 无任何隐形消费 🔰武汉光谷全裸9️⃣🔠嫩妹会所🔰 😀😀😀😀😀😀😀😀😀 🧩胸推🧩臀推🧩腿推🧩丝足🧩腿夹🧩 推荐🥰毛推🛡逼推🥰舌吻 69 🥰游龙戏水 🥰沐香丝竹 🥰纤纤玉手 🥰仙女漫游🥰高山流水 🥰胯下游龙 🥰柔情毒龙 🥰猴子偷桃🥰水磨拉丝 🥰百变调情🥰花样多处🥰可摸可亲 👩 高颜值00后 · 十几位出勤 特色项目⏰ 60分钟满钟不限次 玉女双峰|皇家骑士|蜜臀夹龙 冰火两重天|双凤飞|足推龙头 地址:武汉市洪山区光谷新竹路…

10 Sept 2026, 14:33 UTC16 viewsread 10 September 2026
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武汉顶级全裸8️⃣🔠➕❓「升级版」 武汉性价比王全场预约出评价:380 电话预约☎️: 13349751074 微信🛰1️⃣预约: _You9876 微信🛰2️⃣预约:AAWR880 QQ🐧1️⃣预约:169317176 QQ🐧2️⃣预约:3953211804 武汉会所交流群:点击预览 武汉技师频道: 点击预览 武汉技师点评: 点击预览 预约客服:@AWNB668 机器人🤖:@AWW998bot (进店铺报章鱼哥预约可享受优惠价) 体验完 拍照 点评发章鱼出示前台】 【 免费提供各类情趣丝袜可带走】😍 [另外提供付费换装服务+20] 服务时间50分钟、时间内不限次。 游龙戏水➕沐香丝竹🫰 纤纤玉手➕仙女漫游🫰 高山流水➕胯下游龙🫰 柔情毒龙➕猴子偷桃🫰 水磨拉丝➕百变调情🫰 花样多处➕可摸可亲可舔😍 全裸升级版超级8️⃣🔠➕❓ 1️⃣:玉女双峰夹龙棍「胸夹」 2️⃣:玉手花式唤神龙「花手」 3️⃣:皇家骑士磨龙棍「女上」 4️⃣…

10 Sept 2026, 04:06 UTC231 viewsread 10 September 2026
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圈界NO.1 🟡昵称:安琪拉 🕐地区:#武昌 徐东 🤖双向:@bao8855_bot 🚀电报:@bao888555 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你身上那份不慌不忙的从容,和你的容貌相辅相成,外在赏心悦目,气度优雅大方,实在令人心生赞叹。 🔰#点击下方查看详情⬇️

Showing the 12 most recent of 32 posts we hold for @LG88995. 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 2 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.

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

“武汉认证榜” (@LG88995), 34,717 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/LG88995.

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.