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Channel
成都海王修车社区已验车库(备用)
@chengduhaiwangxiuchecheku
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
21,321subscribers
+233 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001550354152 |
|---|---|
| Type | Channel |
| Username | @chengduhaiwangxiuchecheku |
| Description | 交流群组 https://t.me/chengduhaiwangxiuche |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/chengduhaiwangxiuchecheku |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 07:55 | 21,321 | -108 |
| 16 Sept 2026, 03:18 | 21,429 | +17 |
| 14 Sept 2026, 11:58 | 21,412 | -8 |
| 12 Sept 2026, 23:21 | 21,420 | +195 |
| 11 Sept 2026, 01:38 | 21,225 | +60 |
| 8 Sept 2026, 00:20 | 21,165 | -107 |
| 4 Sept 2026, 22:39 | 21,272 | -20 |
| 3 Sept 2026, 08:18 | 21,292 | +13 |
| 2 Sept 2026, 00:54 | 21,279 | +18 |
| 1 Sept 2026, 04:18 | 21,261 | -5 |
| 31 Aug 2026, 06:32 | 21,266 | -5 |
| 30 Aug 2026, 06:46 | 21,271 | +9 |
| 29 Aug 2026, 09:54 | 21,262 | +36 |
| 28 Aug 2026, 07:24 | 21,226 | -3 |
| 27 Aug 2026, 05:33 | 21,229 | -39 |
| 26 Aug 2026, 05:43 | 21,268 | +20 |
| 25 Aug 2026, 07:52 | 21,248 | +10 |
| 24 Aug 2026, 06:46 | 21,238 | -1 |
| 22 Aug 2026, 17:04 | 21,239 | -2 |
| 21 Aug 2026, 07:33 | 21,241 | first reading |
Engagement
41 posts held, back to 5 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 50 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.11%
- avg views ÷ 21,321 subscribers
- Avg views / post
- 449
- 17 posts measured
- Reaction rate
- 0.407%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 41 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 12 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 41 (5 August 2026 – 26 September 2026) |
| Views total | 7,636 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 05:02 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
- 372
- Videos
- 35
- Links
- 97
Lifetime counters from Telegram’s own channel header, read 27 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
- 56s
- Average length
- 11s
Measured directly from 5 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
209 reactions across 30 posts, in 5 distinct kinds. The most used accounts for 62.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 130 | 62.2% | |
| 👍 | 69 | 33.0% | |
| 🔥 | 4 | 1.91% | |
| 🎉 | 3 | 1.44% | |
| 🥰 | 3 | 1.44% |
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 31 of the 41 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 209 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 5 August 2026 to 26 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.
Telegram Stars
- Stars received
- 3
- across the posts below
- Posts paid on
- 3
- of 41 we hold a reading for · 7%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chengduhaiwangxiuchecheku. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 41 most recent posts we hold for this entry, published 5 August 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 🎁喝奶茶了兄弟们 ⚠️ 抽奖说明: 开奖两天内兑奖,需有群内正常聊天内容,机器人发言不兑奖。 🎅 联系领奖:@Aron3388 🙋 参与人数:478 💫 鸿运加成:28票 💎x 8 中奖名单如下: 1. 酸奶牛 奖品:双人大杯奶茶58元 2. lllyelin 💫 x 4 奖品:单人中杯奶茶18元 3. 咚咚强 💫 x 1 奖品:单人中杯奶茶18元 4. 荒野秋黄🛁 奖品:单人中杯奶茶18元 这次没中,下次一定! 🎁 点击查看更多抽奖
【成都海王修车】 花名:#贝贝 车牌: @dmbb520 地址: #成华区 #理工大 价格: 4P/6PP 硬件:人照差距8分 身高165左右 身材匀称 皮肤正常 胸D 自然下垂 优惠情况:暂无 ⭐️类型: #少妇 #4P #自聊 #舌吻 #服务车 #态度车 锐评:老师态度特别好,主打服务控,菜单服务都有,配合度高,喜欢大胸 服务的狼友打卡 https://t.me/chengduhaiwangxiuche
❤2
【成都海王修车】 花名:#念初 车牌: @NianChuA 地址: #天府二街 价格: 500P/800PP 硬件:人照8分 身高165体重100斤年龄28左右,大胸冷白皮 ,胸软皮肤光滑,蝴蝶型,湿度紧度适中 优惠情况:暂无 ⭐️类型: #御姐 #感觉车 #5P #代聊 #冷白皮 #巨乳 #服务车 锐评:专业服务,胸又大又软。性价比不错,大胸还有匀称的身材,御姐类型,喜欢大胸和服务的可以无脑冲。 https://t.me/chengduhaiwangxiuche
❤2
【成都海王修车】 花名: #小瑞 车牌: @xiaorui333521 地址: #高新区 #天府二街 价格: 6p/10pp 硬件:妹子人照8.8 ,去美颜就是本人,本人漂亮,年龄25左右,身高160,体重98斤,身材均匀, 皮肤偏白手感光滑,天然真胸C 手感柔软, 没有纹身,屁股翘。 优惠情况:暂无 ⭐️类型: #武侯区 #御姐 #颜值车 #感觉车 #6P #舌吻 #女友感 #服务车 锐评:人照片一致,正常美颜,声音骚骚的,丰满型御姐,服务好,口技顶级,爱爱投入,情绪价值高,会聊天,好评推荐体验。 https://t.me/chengduhaiwangxiuche
❤2
🎰 🎁喝奶茶了兄弟们 📮 参与条件: 🛡️ 必须设置用户名 🎫 加入-成都海王修车社区已验车库 🎫 加入-成都海王修车社区 └🎟️ 发言数大于 8 条 🎫 加入-成都大话修车群 └🎟️ 发言数大于 8 条 🎫 加入-成都大话修车已验证车库 🎁 奖品内容: 💰️ 双人大杯奶茶58元 x 1 💰️ 单人中杯奶茶18元 x 3 💫 鸿运加成:x 8 规则 ⚠️ 抽奖说明: 开奖两天内兑奖,需有群内正常聊天内容,机器人发言不兑奖。 📆 定时开奖 北京时间:2026年09月26日 21时10分 👉 点击参与抽奖 🎁 点击查看更多抽奖
❤1
🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 日常奶茶福利 ⚠️ 抽奖说明: 开奖两天内兑奖,机器人不兑奖 🎅 联系领奖:@Aron3388 🙋 参与人数:268 💫 鸿运加成:72票 💎x 8 中奖名单如下: 1. 罗汉~ 💫 x 1 奖品:双人大杯奶茶58 2. 夯大力 💫 x 8 奖品:大杯奶茶28 3. 虎🐯 💫 x 8 奖品:奶茶18 这次没中,下次一定! 🎁 点击查看更多抽奖
❤1
【成都海王修车】 花名:#糖果 车牌: @tangguo66778899 地址: #红牌楼 价格: 500P/700PP 硬件:人照8.5分,身高160,45kg,颜值比较高,御姐型气质,胸A+,身材比较好,皮肤光滑细腻,户型好看轻褐色,爱爱反馈热烈。 优惠情况:暂无 ⭐️类型: #颜值车 #少妇 #御姐 #感觉车 #服务车 #自聊 #5P 锐评: 颜值少妇,气质比较偏御姐,情绪价值到位,身材不错,口活好无齿感,特别会深喉,服务态度好,服务也较多。总体来说,值得打卡,至少5p这个价位里,性价比可以说拉满,尤其适合喜欢颜值少妇型的狼友。 https://t.me/chengduhaiwangxiuche
❤3
【成都海王修车】 花名:#Amy艾米 车牌: @Amy03999 地址: #锦江区 价格: 700P/1200PP 硬件:人照8分,163,45公斤,皮肤黄白皮,真胸C+,27岁,大胸,屁股结实。腰部有小许赘肉。 优惠情况:暂无 ⭐️类型: #少妇 #御姐 #颜值车 #感觉车 #7P #代聊 #黄白皮 #舌吻 #女友感 #异域风情#大奶 锐评:优点:维吾尔异域风情,大奶圆润摆满,手感好,皮肤结实有肉,眼神拉丝,大蟒蛇,会聊天提供情绪价值。人工白虎一线天。一摸就出水。缺点:皮肤偏黄,腰部有少许赘肉。 https://t.me/chengduhaiwangxiuche
❤2
【成都海王修车】 花名:#点点 车牌: @dian12dian2go200 地址: #成华区 #昭觉寺 价格: 500P/900PP 硬件:人照一致,矮矮的,身材匀称瘦而不柴,胸B,纯天然,挺拔有弹性,黄头发,很可爱,无纹身 优惠情况:暂无 ⭐️类型: #嫩妹 #颜值车 #感觉车 #5P #代聊 #冷白皮 #舌吻 #女友感 #身材车 锐评:老师小巧玲珑,嫩妹一位,刚下水懂得不多,需要教导,很听话,不机车。长得乖巧可爱,和照片基本一致,很有女友感。 https://t.me/chengduhaiwangxiuche
❤1
🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 🎁白虎樱桃发福利了 ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号、恶意刷发言发送123字母、非正常聊天,找不到聊天记录等原因,超时未兑换等原的,不予兑奖! 2.本次活动优惠劵兑奖有效期为开奖后5天内,现金为开奖后2天内,逾期作废。 3·为避免小号、协议号、广告号,需有抽奖期间参与群对应任意车库中评论➕点赞,无评论不予兑奖 ⚠️ 如发现Ai机器人直接取消中奖资格不予兑奖,乱水群不兑奖。 🎅 联系领奖:@baihuyingtao 🙋 参与人数:621 💫 鸿运加成:19票 💎x 8 中奖名单如下: 1. 爱意随风起 💫 x 4 奖品:现金红包100 2. Bzphyr 💫 x 1 奖品:现金红包50 3. 岸仕信邱 奖品:现金红包50 4. 圣罗兰柔 💫 x 1 奖品:100元优惠卷 5. 依诗 💫 x 8 奖品:100元优惠卷 6. 达…
【成都海王修车】 花名:#洋桃 车牌: @bao520bei 地址: 天府二街 价格: 600P/1100PP 硬件:27左右,身高160cm,47kg,人照九分像。胸c+挺拔,户型小蝴蝶,正常紧水多。 优惠情况:暂无 ⭐️类型: #少妇 #感觉车 #6P #自聊 #莞式服务 #莞式 #武侯区 锐评:老师主打服务控,服务可以給到夯,正宗莞式服务,去过才知道什么是服务,颜值过得去,身材不错前凸后翘,情绪价值都有,服务车的理想型。 https://t.me/chengduhaiwangxiuche
❤2
Showing the 12 most recent of 41 posts we hold for @chengduhaiwangxiuchecheku. 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.
Posts edited after publishing
@chengduhaiwangxiuchecheku edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 1 September 2026
- Most recent edit
- 1 September 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
@chengduhaiwangxiuche · 24,77831 posts幸运抽奖导航
@LotteryNavChannel888 · 30,78510 posts成都大话修车群
@CDdahuaxiuche · 31,0054 posts成都大话修车已验证车库
@CDdhyzck1 · 72,4573 posts全国莞式全套会所
@The_Lure_of_Home01 · 2,4893 posts成都海王修车社区已验车库
@chengduhaiwangxiuchecheku1 · 10,8812 posts成都梦幻私影女仆频道
@mmk921 · 201 post沈清梨的小圈圈😘
@qiruohan · 2,5031 post成都铜雀台mmk聊天群
@tongquetai444 · 7,2341 post成都铜雀台MMk选妃频道
@tongquetai888 · 14,7071 post成都铜雀台MMK反馈群
@tongquetai999 · 4,5651 post武侯林若涵(自聊)
@WHlinqunian · 1,9741 post
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“成都海王修车社区已验车库(备用)” (@chengduhaiwangxiuchecheku), 21,321 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/chengduhaiwangxiuchecheku.
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.