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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
TypeChannel
Username@chengduhaiwangxiuchecheku
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live18 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.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

21,08821,42921,258.59 August 2026 — 21,088 subscribers10 August 2026 — 21,120 subscribers11 August 2026 — 21,131 subscribers12 August 2026 — 21,180 subscribers13 August 2026 — 21,218 subscribers14 August 2026 — 21,244 subscribers16 August 2026 — 21,241 subscribers17 August 2026 — 21,237 subscribers18 August 2026 — 21,236 subscribers19 August 2026 — 21,229 subscribers20 August 2026 — 21,232 subscribers21 August 2026 — 21,241 subscribers22 August 2026 — 21,239 subscribers24 August 2026 — 21,238 subscribers25 August 2026 — 21,248 subscribers26 August 2026 — 21,268 subscribers27 August 2026 — 21,229 subscribers28 August 2026 — 21,226 subscribers29 August 2026 — 21,262 subscribers30 August 2026 — 21,271 subscribers31 August 2026 — 21,266 subscribers1 September 2026 — 21,261 subscribers2 September 2026 — 21,279 subscribers3 September 2026 — 21,292 subscribers4 September 2026 — 21,272 subscribers8 September 2026 — 21,165 subscribers11 September 2026 — 21,225 subscribers12 September 2026 — 21,420 subscribers14 September 2026 — 21,412 subscribers16 September 2026 — 21,429 subscribers18 September 2026 — 21,321 subscribers21,3219 August 202618 September 2026
31 measurements spanning 40 days, net +233. 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 21,037–21,480 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
18 Sept 2026, 07:5521,321-108
16 Sept 2026, 03:1821,429+17
14 Sept 2026, 11:5821,412-8
12 Sept 2026, 23:2121,420+195
11 Sept 2026, 01:3821,225+60
8 Sept 2026, 00:2021,165-107
4 Sept 2026, 22:3921,272-20
3 Sept 2026, 08:1821,292+13
2 Sept 2026, 00:5421,279+18
1 Sept 2026, 04:1821,261-5
31 Aug 2026, 06:3221,266-5
30 Aug 2026, 06:4621,271+9
29 Aug 2026, 09:5421,262+36
28 Aug 2026, 07:2421,226-3
27 Aug 2026, 05:3321,229-39
26 Aug 2026, 05:4321,268+20
25 Aug 2026, 07:5221,248+10
24 Aug 2026, 06:4621,238-1
22 Aug 2026, 17:0421,239-2
21 Aug 2026, 07:3321,241first reading

Engagement

33 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 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.66%
avg views ÷ 21,321 subscribers
Avg views / post
567
15 posts measured
Reaction rate
0.334%
reactions ÷ views · ER floor
Posts in window
15
of 33 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 10 of 15 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 2 September 2026
Posts held33 (5 August 2026 – 2 September 2026)
Views total8,508
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 16:54 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
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

198 reactions across 24 posts, in 5 distinct kinds. The most used accounts for 60.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11960.1%
👍6934.8%
🔥42.02%
🎉31.52%
🥰31.52%

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 25 of the 33 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 198 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 5 August 2026 to 2 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 33 we hold a reading for · 9%
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 33 most recent posts we hold for this entry, published 5 August 2026 to 2 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

2 Sept 2026, 15:20 UTC307 views2 reactionsread 3 September 2026
Photo

【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

2 Sept 2026, 15:08 UTC307 views1 reactionsread 3 September 2026
Photo

【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

2 Sept 2026, 13:00 UTC312 viewsread 3 September 2026
Photo

🎉🎉🎉 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…

1 Sept 2026, 14:18 UTC463 views2 reactionsread 3 September 2026
Photo

【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

1 Sept 2026, 12:30 UTC457 viewsread 3 September 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 🎉沈清梨的红包又来咯,快来抢 ⚠️ 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:@qingli520520 🙋 参与人数:456 💫 鸿运加成:6票 💎x 8 中奖名单如下: 1. 木又 奖品:现金红包100 2. 圣罗兰柔 💫 x 2 奖品:现金红包50 3. lone 💫 x 1 奖品:现金红包50 4. Connie 奖品:100元优惠券 5. 达拉妧 💫 x 2 奖品:100元优惠券 6. 烧火棍(远…

1 Sept 2026, 05:44 UTC477 views3 reactions1 Starread 3 September 2026

9月邀请活动 成都海王修车各位老铁看过来🔥 搞福利活动啦!咱们扩充队伍,福利直接给到大家 拉好友进群,1个人头得2元现金,现金奖励没有上限!需满足最低10人才可兑奖。 之前拉人得30积分的福利依旧保留! 📌硬性要求:拉进来的人进群最少发3条消息 🤖后台机器人会自动核查:勿邀请机器人、协议号或者进群就炸号,不给奖励! 邀请链接已重置,想要专属邀请链接,直接在大群输入:邀请 获取最新邀请链接

👍3

30 Aug 2026, 14:51 UTC595 views4 reactions1 Starread 3 September 2026
Photo

【成都海王修车】 花名:#畅歌 车牌: @azi333999 地址: #武侯区 #天府三街 价格: 5P/8PP 硬件:人照差距7.5 年龄30左右 162/55-60kg 身材微胖 胸大D 黄皮肤 胸口和侧腰有小面积纹身 有小肚子 优惠情况:暂无 ⭐️类型: #少妇 #感觉车 #5P #自聊 #舌吻 #女友感 #服务车 #毒龙 锐评:服务巨多,课表上的都会做 口 胸推 臀推 阴推 按摩 口漫 吸皮 大蟒蛇 深喉 口活和毒龙真的爽 一直往里面顶 老师不愧是会所出身 情绪价值非常足 服务没有一点敷衍 缺点就是现在老师身材稍微有点走样,有小肚子 总的来说喜欢服务不看重身材的非常推荐 老师服务真的没的说 可以一直口和深喉 https://t.me/chengduhaiwangxiuche

❤4

30 Aug 2026, 08:43 UTC534 views1 reactionsread 2 September 2026
Photo

【成都海王修车】 花名:#泰妹Dora 车牌: @cddora 地址: #成华区 #东郊记忆 价格: 500P/900PP 硬件:人照八分 妹子160/ 90左右 熊C 人工白虎 优惠情况:暂无 ⭐️类型: #少妇 #感觉车 #5P #代聊 #舌吻 #异域风情 锐评:妹妹真实泰国人 人照八分相似 态度很好 不机车 电动小马达 缺点就是中文不太熟练 奶子有科技 肚子熊下面有疤痕 总的来说 五的价位值得去体验 https://t.me/chengduhaiwangxiuche

❤1

29 Aug 2026, 07:22 UTC645 viewsread 2 September 2026
Photo

【成都海王修车】 花名:#沈清梨 车牌: @qingli520520 地址: #天府二街 价格: 600P/900PP 硬件:年龄25左右,前凸后翘,胸C乳头不大,户型正常小蝴蝶,浅褐色,水多紧度适中。 优惠情况:暂无 ⭐️类型: #御姐 #颜值车 #6P #自聊 #舌吻 #大长腿 #身材车 锐评:老师身材好比较有气质,前凸后翘,爱爱配合度情绪价值都比较高,有情商会聊天有话题,享受爱爱过程的气质型御姐,推荐各位狼友打卡一番,不得亏。 https://t.me/chengduhaiwangxiuche

28 Aug 2026, 23:18 UTC575 views1 reactionsread 1 September 2026
Photo

【成都海王修车】 花名: #橘子 车牌: @juzi66669 地址: #武侯区 价格: 700P/1200PP 硬件:人照相似度高,去磨皮就是本人,屁股大过肩,腰细前凸后翘炮架身材 胸C小馒头灰褐色乳头,小穴蝴蝶型外褐内粉,包裹感十足 优惠情况:暂无 ⭐️类型: #御姐 #颜值车 #冷白皮 #舌吻 #女友感 #大长腿 #身材车 锐评:老师外围出道,硬件满分炮架子身材,有种在操AV女优的感觉,服务配合主动。适合泄火和有经验的狼友前去挑战,经验不足的过程中会被秒,一定要做好准备再来好好跟老师打上一炮,做到值回票价 https://t.me/chengduhaiwangxiuche

❤1

27 Aug 2026, 12:45 UTC630 views1 reactionsread 30 August 2026
Photo

【成都海王修车】 花名:#楚依依 车牌: @CHyya8 地址: #天府二街 价格: 600P/900PP 硬件:楚依依年龄23,人照9.5分,164cm,45kg,胸b,乳头粉,手感好,户型小蝴蝶🦋水多正常紧。 优惠情况:暂无 ⭐️类型: #御姐 #颜值车 #感觉车 #6P #自聊 #冷白皮 #舌吻 #大长腿 锐评:气质高挑型美女,高颜值,服务三件套,可蛇可69。爱爱反馈都比较真实,情绪价值女友感都有,推荐打卡一番。 https://t.me/chengduhaiwangxiuche

❤1

27 Aug 2026, 08:56 UTC763 viewsread 29 August 2026
Photo

【成都海王修车】 花名:#白虎樱桃大胸E 车牌: @baihuyingtao 地址: #昭觉寺附近 价格: 700P/1100PP 硬件:本人颜值一般,身高158 90斤 皮肤白皙光滑,天然胸e 比较挺,手感极佳。户型白虎一线天,红粉色,屁股大,日感不错。 优惠情况:暂无 ⭐️类型: #御姐 #感觉车 #7P #自聊 #舌吻 #女友感 #身材车 #成华区 推荐理由:樱桃老师,出了名的天然白虎,爱爱视觉感拉满,身材真的不错,胸又大又挺,小穴户型好看。无论是爱爱配合度还是情绪价值都比较高,比较适合做爱的身材车。 https://t.me/chengduhaiwangxiuche

Showing the 12 most recent of 33 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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

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.

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.