📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH909 【花名】#小野猫 【车牌】@cdxyem 【地址】#大源 【标签】#高新区 #御姐 #自聊 #巨乳 #蛇蛇精 【硬件】老师的人照9分,身高160、体重45kg、大D🐻,皮肤白,下面的松紧正常、颜色褐色,毛量多等硬件条件,尽量详细 【软件】服务内容大蟒蛇 深喉 陪洗 👅🐻 水中萧 及情绪价值高等 【课费】700P/50分钟 1000PP/90分钟 #7/10 【优惠】#无 【验证】#已验证 验证1 【综合评分】软件评分8分,硬件评分8分,综合评分8分 【特别提示】总结:高颜值27御姐,真的是属于可爱类型的童颜巨乳,做起来很投入,服务意识好,蛇蛇精…

Channel
海花集车库
@CDhaihuajicheku1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
23,882subscribers
+2,000 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003230092065 |
|---|---|
| Type | Channel |
| Username | @CDhaihuajicheku1 |
| Created | Between 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/CDhaihuajicheku1 |
Topic
Other / unclassifiable — 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 62% 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 |
|---|---|---|
| 17 Sept 2026, 14:18 | 23,882 | +147 |
| 15 Sept 2026, 13:21 | 23,735 | +24 |
| 13 Sept 2026, 23:39 | 23,711 | +115 |
| 12 Sept 2026, 03:19 | 23,596 | +89 |
| 9 Sept 2026, 23:20 | 23,507 | +252 |
| 6 Sept 2026, 17:35 | 23,255 | +152 |
| 4 Sept 2026, 04:58 | 23,103 | +170 |
| 2 Sept 2026, 19:33 | 22,933 | -33 |
| 1 Sept 2026, 15:25 | 22,966 | +15 |
| 31 Aug 2026, 17:04 | 22,951 | +19 |
| 30 Aug 2026, 15:47 | 22,932 | -46 |
| 29 Aug 2026, 16:04 | 22,978 | -66 |
| 28 Aug 2026, 12:53 | 23,044 | +58 |
| 27 Aug 2026, 16:14 | 22,986 | +146 |
| 26 Aug 2026, 16:44 | 22,840 | +144 |
| 25 Aug 2026, 13:52 | 22,696 | +173 |
| 24 Aug 2026, 15:05 | 22,523 | +164 |
| 23 Aug 2026, 02:12 | 22,359 | +88 |
| 21 Aug 2026, 17:08 | 22,271 | +105 |
| 20 Aug 2026, 16:56 | 22,166 | first reading |
Engagement
40 posts held, back to 13 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 41 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.08%
- avg views ÷ 23,882 subscribers
- Avg views / post
- 737
- 14 posts measured
- Reaction rate
- 0.339%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 40 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 11 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 40 (13 August 2026 – 27 September 2026) |
| Views total | 10,314 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 12:53 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
- ≈4,370
- Videos
- ≈350
- Links
- ≈943
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. 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.
- Video runtime
- 1m 45s
- 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
605 reactions across 28 posts, in 3 distinct kinds. The most used accounts for 51.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 314 | 51.9% | |
| 👍 | 279 | 46.1% | |
| 👎 | 12 | 1.98% |
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 40 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 605 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 13 August 2026 to 27 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
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH908 【花名】#小锦儿 【车牌】@xjer123 【地址】#驷马桥 【标签】#驷马桥 #嫩妹 #微胖 #颜值车 #代聊 【硬件】人照8分像,身高160,体重120,皮肤白嫩,下面紧度一般,颜色比较粉,比较深,毛量比较少,奶子比较大有手感,就是赘肉比较多。 【软件】嫩妹三件套,比较健谈,情绪价值不错 【课费】700P/60分钟 1200PP/90分钟 #7p/12pp 【优惠】#无 【验证】#已验证 验证1 【综合评分】软件评分8分,硬件评分8分,综合评分8分 【特别提示】老师颜值还是不错,就是身上赘肉比较多,可以冲。 【写给大家】出击老师写报…
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH907 【花名】#菲莉娅 【车牌】@fly3678 【地址】#动物园 【标签】#嫩妹车 #颜值车 #身材车 #代聊 #敏感车 #骚 #女友感 #成华区 #19 【硬件】老师的人照9分,真人更好看,身高165、体重49kg、 胸B+罩杯,软糯手感好,皮肤黄白皮,光滑无纹身,下面紧,包裹感强、外褐内粉,毛量正常 【软件】舌吻,69,陪洗,口,爱爱;骚,会撒娇,昆感极好 【课费】700P/50分钟 1200PP/90分钟 #7/12 【优惠】#无 【验证】#已验证 验证1 【综合评分】软件评分9.3分,硬件评分9分,综合评分9分 【特别提示】妹妹颜值好看,…
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH906 【花名】#小小酥 【车牌】@sususmile8 【地址】#流星花园 【标签】#锦江区 #嫩妹 #18 #代聊 #6P #舌吻 #69 #排骨精 【硬件】156厘米,40公斤,18岁,b胸,乳头小 粉,掌中宝,下面粉褐色,没有异味,毛量中等,比较紧,胸口和小臂有纹身,皮肤手感好 【软件】三件套,舌吻,69,舔🐻 【课费】600P/60分钟 1000PP/90分钟 #6/10 【优惠】#无 【验证】#已验证 验证1 【综合评分】软件评分8.6分,硬件评分9分,综合评分8.8分 【特别提示】妹子颜值好 人照相似度高 态度好 面带微笑 姿势和聊天都比较配…
❤️🔥甜心新奇体验馆❤️🔥 🥰一个懂男人的专业服务馆、主营日本进口高级性爱娃娃体验 、主打新奇➕刺激 体验感直接拉满🔥 各区域有门店24小时接单、私信客服匹配就近门店安排体验。 🥳新奇体验超刺激➕超强夹吸➕云柔酥胸➕无限火力❤️🔥 欢迎搭乘新奇体验列车🚄 让我们一起探索未知领域🥳 一起享受快乐无边的体验🥳 客服: @TXSNXQTYG 群聊:@TXXQTYGJLQ 频道:@Txsnqg
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH905 【花名】#熊铁柱 【车牌】@Xtzhu 【地址】#高升桥 【标签】#自聊 #嫩妹 #态度车 #学妹 #三件套 【硬件】老师的人照9分,身高170、体重100、胸b,皮肤光滑,下面紧湿度水多、颜色褐色,一小蝴蝶,无异味! 【软件】服务很有耐心,舔蛋舔胸,口活!蛇吻,69都有,听话乖巧懂事,有情绪价值!良家学妹! 【课费】600P/50分钟1000pp/80分钟 #6P/10PP 【优惠】#无 【验证】#已验证 验证1 【综合评分】软件评分8.5分,硬件评分8分,综合评分8.3 【特别提示】良家感十足学妹,情绪价值拉满,服务也耐心!值得体验! …
❤1
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH865 【花名】#山藤静子 【车牌】@Shantangjinz520 【地址】#天府二街 【标签】#自聊 #天府二街 #大胸 #少妇车 #体验车 【硬件】老师本人7分,身高163、体重110、🐻C,皮肤偏白手感舒服,下面的松紧适中、褐色,毛量正常 【软件】AB面 69 🐍 水中萧 浴室风情 深喉 爱爱潮喷 【课费】600P/50分钟 900PP/90分钟 #6/9 【优惠】#无 【验证】#已验证 验证1 【综合评分】软件评分7.5分,硬件评分7分,综合评分7.25分 【特别提示】开6的少妇车,服务在线,有🐻有屁股,主打潮喷,推荐体验下 【写给大家】出…
❤1
【成都海花集车库】 【编号】#HH346 【花名】#于晚晚 【车牌】@yuwanwan5201314520 【地址】#市中心 【标签】#锦江区 #自聊 #御姐 #态度车 #服务车 #巨乳 #8P 【硬件】人照相似度7.5~8,28岁左右,身高160cm,110斤左右,胸G,无科技,蜜桃臀,圆润饱满,S型曲线,健身体态,无赘肉,臀部紧实,皮肤细腻,紧度适中,很湿 【软件】陪洗,按摩,胸推,吸皮,过水,漫游,角色扮演,毒龙,舔蛋,口,舔脚,做,乳交,口爆 【课费】800P/50分钟 1300PP/90分钟 #8/13 【优惠】#无 【验证】#已验证 验证报告 验证报告 【综合评分】硬件评分8.4分,软件评分9.2分,综合评分8.8 【特别提示】老师胸大,身材好,蜜桃臀,健身体态,服务好 【写给大家】出击老师写报告获得积分,如果实在不想写报告,就在车库评论一下感受也能获取积分; 【诚信折扣】优质学生享受9…
👎2❤1
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH864 【花名】#舔诱 【车牌】@tybbaoy 【地址】#晋吉南路 【标签】#武侯区 #19 #嫩妹 #代 #大奶 #69 【硬件】老师的人照9分,身高160、体重100、C奶,皮肤白嫩,下面的一般紧度、外褐内粉,毛量不多。 【软件】嫩妹三件套+69+浅吻,态度好。 【课费】700P/60分钟 1200PP/90分钟 #7/12 【优惠】#无 【验证】#已验证 验证1 验证2 【综合评分】软件评分9.0分,硬件评分9.2分,综合评分9.1分 【特别提示】 嫩妹老师,颜值较高,身材好,皮肤很紧实滑嫩,C奶,会穿搭,但有大花臂,纹身多。e人,活泼会…
👎10❤4👍2
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❤1
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH863 【花名】#梓婷 【车牌】@ziting999 【地址】#市中心 【标签】#市中心 #御姐 #懵醉仙逼 #蛇蛇精 #人照8分 #代聊 #颜值车 #身材车 #态度车 #感觉车 #女友感 #良家感 #冷白皮 #婴儿肥 #6/10 【硬件】老师的人照8分,身高162、体重105、罩杯B+,皮肤白嫩滑紧致,下面的松紧度又紧又湿、颜色浅褐色,毛量不多,修剪整齐。 【软件】鸳鸯浴,胸推,舔胸,🐍吻,大蟒蛇,无套吹箫,69,舔批,爱爱。 【课费】600P/50分钟 1000PP/90分钟 #6/10 【优惠】#无 【验证】#已验证 验证1 【综合评分】软件评分8…
❤5
📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 【成都海花集车库】 【编号】#HH862 【花名】#妍妍 【车牌】@mnvyanyan 【地址】#南门 【标签】#天府三街 #大源 #bbw #态度很好 #20 #御姐车 【硬件】人照十分,身高165,体重100、36D,皮肤白皙,下面很紧,粉嫩蝴蝶逼`毛很少 【软件】口,做,情绪价值很高 服 【课费】500P/60分钟 800PP/90分钟 #5/8 【优惠】#无 【验证】#已验证 验证1 验证2 【综合评分】软件评分10分,硬件评分10分,综合评分10分 【特别提示】情绪价值很高的御姐车 【写给大家】出击老师写报告获得积分,如果实在不想写报告,就在车库评论一下感受也能获取…
❤1
Showing the 12 most recent of 40 posts we hold for @CDhaihuajicheku1. 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.
Mentions
Named by 1 registered channel — 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.
@CDChaihuajibg1 · 1,29333 postsJoker 听潮阁
@yay99991710 · 4,3376 posts成都海花集(搜附近)
@CDChaihuaji · 34,4422 posts甜心|硅胶娃娃
@Txsnqg · 13,3562 posts成都抓龙筋天悦阁
@chegndutianyuege · 5,0831 post成都海花集公告
@haihuajiwishes · 1,1031 postLotteryBest Bot
@LotteryBestBot · 99,1831 postLotteryBest抽奖导航
@lotterynav · 174,1781 post小超【成都按摩/丝足/SPA】
@SPA2006002 · 3,9441 post小超【成都按摩/丝足/SPA】频道
@SPA2006003 · 4,4591 post甜心硅胶娃娃新奇体验馆
@TXXQTYGJLQ · 26,0901 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@CDhaihuajicheku1 named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 3 September 2026 – 4 September 2026
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“海花集车库” (@CDhaihuajicheku1), 23,882 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/CDhaihuajicheku1.
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.