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Channel

成都·我们只爱嫩妹®(已验)车库

@ChengduLaoPanhai

2 usernames

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

70,660subscribers

+725 since we began measuring on 6 October 2026

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

Register entry

Telegram ID-1001815573103
TypeChannel
Usernames@cdnmqzpd @ChengduLaoPanhai
Description我们只爱嫩妹‖已经有人验证的车牌库 上牌联系: @CdNmqSp_bot 讨论组:https://t.me/+UK0UYVm0SIVhNzU1
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 October 2026
Last confirmed live17 October 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 October 2026
On Telegramt.me/ChengduLaoPanhai

Growth

69,93570,66070,297.56 October 2026 — 69,935 subscribers10 October 2026 — 70,448 subscribers13 October 2026 — 70,561 subscribers15 October 2026 — 70,587 subscribers16 October 2026 — 70,606 subscribers17 October 2026 — 70,660 subscribers6 October 202617 October 2026
6 measurements spanning 11 days, net +725. 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 69,826–70,769 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Oct 2026, 03:3970,660+54
16 Oct 2026, 01:3870,606+19
15 Oct 2026, 00:3070,587+26
13 Oct 2026, 21:3770,561+113
10 Oct 2026, 08:5670,448+513
6 Oct 2026, 06:2269,935first reading

Engagement

14 posts held, back to 30 September 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 23 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.72%
avg views ÷ 70,660 subscribers
Avg views / post
5,460
13 posts measured
Reaction rate
0.158%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 13 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 16 October 2026
Posts held14 (30 September 2026 – 16 October 2026)
Views total70,940
Reactions total103
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Oct 2026, 07:59 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
≈3,050
Videos
≈705
Links
≈578

Lifetime counters from Telegram’s own channel header, read 17 October 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 18s
Average length
11s

Measured directly from 7 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

103 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 98.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10198.1%
👍21.94%

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 12 of the 14 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 103 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 30 September 2026 to 16 October 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

16 Oct 2026, 08:03 UTC≈2,060 views2 reactionsread 17 October 2026
Photo

#波波 #6p10pp #态度车 #人工白虎 #幼态车 #女友感 #成华区 最后一张为实拍 工兵:妹子乐山人,16岁,身高1米63,体重80斤。要抽烟,有纹身。颜值小乖,进门一身黑色的jk装,黑丝袜,小皮鞋。素人的感觉,很有邻家气质。排骨身材,屁股翘翘的。 胸不大a+掌中宝,刚好一手。皮肤为黄黑皮,较为光滑。BB为人工白虎,一线天,粉嫩多汁。妹妹自述之前是搞餐饮的,乐山餐饮太卷了,挣不到钱,就下水了,后面的举止,也可以印证,很单纯。挺爱笑的话也比较多,不冷场。简单陪洗后,上床,一切都是那么的生疏,舔口的很一般,一边学一边口,很认真。姿势配合,后入开始,有点疼,浅尝辄止,叫声好听,水润,传教士抱着舌吻,亲了很久特别听话,和女朋友做爱的感觉,很快出货,妹妹说和我做爱特别舒服,妹妹爱爱是慢热享受型,温柔对待才下水的妹妹,推荐打卡。 工兵:川妹子乐山人16岁,身高163,体重85斤,身材苗条,没有一点多余的赘肉,排骨精,肤色黄黑皮…

❤2

15 Oct 2026, 08:32 UTC≈3,240 views3 reactionsread 17 October 2026
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#含含 #6p11pp #态度车 #颜值车 #白皮 #幼态车 #成华区 工兵:妹妹19岁,长得乖巧,笑起来非常甜美,有点害羞,不主动说话。不可69,🐍吻,身高160左右,90斤左右。胸A,手上纹身,身材属于偏瘦,妹妹的口活一般,口的时候认真,含着龟头来回打转,可以深喉,包裹的非常紧,感觉很棒,口了很久,你不喊停,妹妹根本停不下来,一般人可能受不住,小BB又紧又粉嫩,皮肤不是很好不白,偏黑。妹妹很听话,不是很耐操,不过她这样的身材的妹妹,一般都不耐操,叫床声很好听,放进去的时候一直叫哥哥轻一点慢一点。可以抱起来操应该会很舒服,因为环境所限制,没有尝试,喜欢这个姿势的哥哥可以去体验。操妹妹时间长了,妹子开始遭不住,主动要求我后入,叫我使劲操她,不要怜惜她了,我瞬间来劲了,不停的狠狠撞击操她,妹妹受不了,叫得很狂野,最后猛冲一分钟结束战斗,,强烈推荐上牌!!!!! 工兵:妹子自述16岁,身高162,体重78,A🐻+小乳晕小奶头,奶…

❤3

13 Oct 2026, 15:58 UTC≈4,480 views9 reactionsread 17 October 2026
Photo

#雨朵 #5p9pp #态度车 #成华区 工兵:妹子168 100 +东北妹子,人照8。照片看到很娇小。实际胸b大只马,腿很好看,屁股翘,有纹身,抽烟19岁 传媒学校大二学生 艺术生,逼逼紧,服务态度可以,喊做什么基本上不会拒绝,有蛇有69,女上会摇,各种姿势都很配合,口的很久,能深喉,东北妹子还是被前男友开发的很到位。接受度很好,逼逼和胸都还是很粉嫩,逼逼初入紧,复行数十下,就滑溜溜的,汁水丰厚。嫩,能冲。 工兵:妹子19岁,东北吉林人。身高168,体重100斤左右,胸b,下体一线天,水很多但是不是很紧,体重微胖,人照去美颜8分像。要抽烟,胸部和屁股有纹身。舌吻,69都能接受。口活一般但是无齿感,口起来很用心。传教士起手,妹子比较骚很快进入状态开始骚叫。换后入,大屁股桩起来噗呲噗呲的很有感觉,一顿冲锋后出货,体验感还行。 缺点:略胖,纹身,烟味。 工兵:18岁东北大妹子,有纹身,胸C腿长大高个,舌吻🐍要抽烟,挺健谈,进门…

❤9

11 Oct 2026, 07:05 UTC≈6,720 views14 reactionsread 16 October 2026
Photo

#小景甜 #5p9pp #态度车 #无纹身 #嫩妹大奶 #颜值胖墩 #成华区 工兵:妹妹18岁,身高160,105斤,颜值在线,圆圆的脸蛋,很精致,很可爱。皮肤黄白皮,比较光滑,没有纹身,身材属于微胖型,熊特别大,D🐻,又大又软。奶头不大,粉粉的。下面毛不多,逼逼水润,粉嫩。妹妹情商特别高,待人接物不错,专门买了一箱矿泉水,漱口水,这方面服务特别好。一起洗澡,洗的很认真,舌吻也特别投入,舒服。上床开始服务,舔,口的时间特别久,没有一点不耐烦,舌头一卷一卷的,整个棒棒都照顾到了。戴套进入,女上会动一会,两只手托着奶子,视觉效果拉满。后入大屁股有肉,水声潺潺叫声悦耳,传教士妹妹特别敏感,抱着舌🐍吻出货。完事又拉着我聊天,淳朴的小妹妹。除了排骨控,皆可前往。推荐打卡。 工兵:160 107斤 微白皮 颜值尚可 超级大c奶无纹身,态度服务很好,自来熟还不错的妹子。长相大方,性格也一样。抽烟,上来要给我散烟。下面户型一般但是干净,毛量…

❤14

9 Oct 2026, 07:38 UTC≈7,180 views15 reactionsread 16 October 2026
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#洋洋 #550p1000pp #态度车 #不抽烟 #女友感 #成华区 工兵:妹妹17岁,160,体重80来斤,只有小腿有一块纹身。颜值挺高的,美瞳配上淡妆耐看,身材匀称偏瘦,屁股翘,熊B饱满,胸型不错,微微上翘。皮肤黄皮光滑,逼逼只有一戳毛,偏粉嫩的白虎一线天,一摸就水润了。妹妹性格挺好的,熟悉了话还是不少,简单陪洗,自述才做这个不久,舌吻不是很习惯,但是大蟒蛇🐍是不抗拒的,舌头很柔,蛇蛇大战很nice,口了很久,一会舔一会含住,很舒服。戴套进入,女上虽然不熟练,还是比较耐力,后入屁股撞击感不错,叫声不大,但好听,感觉有点放不开。传教士舌吻出货。推荐打卡。 工兵:妹儿17岁 160 80斤 胸b 可以抱起来操的那种,不抽烟,右腿有日本艺伎那种纹身,长相极品乖巧可爱,全身上下柔嫩的可爱,又庆幸得吃了,有舌吻有69,爱笑,表情非常灵动。刚下水,不太熟练,但是她的态度足以抹平这些不太熟练的技巧,硬件非常定,又是一个红牌,并且妹子…

❤15

8 Oct 2026, 07:19 UTC≈6,140 views15 reactionsread 15 October 2026
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#甜甜 #5-9 #无限火力 #态度车 #成华区 工兵:妹妹17岁,身高163,体重100斤左右,要抽烟,嘴巴没有烟味,微胖妹妹,梨形身材,皮肤偏白,滑但是有孖,奶子B饱满,手感不错,逼逼比较粉,几根毛毛,白虎一线天,妹妹性格不错,爱笑,简单陪洗,该有的都有,舌吻投入,大蟒蛇🐍可以一直蛇,口的很认真,会深喉,会舔🥚,戴套进入,女上会摇会动,体力不错,后入屁股有肉,紧致水多,叫声好听,反馈自然,缺点就是有点小肚子,软件车,可以打卡。 工兵:妹子18岁,身高160,体重100左右,人照七分,有美颜以及看上去不够精致,黑色长发披肩,穿一身jk制服,花腿,看上去略显违和。态度比较好,抽烟,烟瘾比较大但教室烟味不是很重,有陪洗。皮肤偏黄白皮,皮肤状态一般,胸b左右,腰上有点赘肉。口活还行,时间也比较长,没喊停一直口,有简单蛇。阴毛比较浓,水多,一摸就湿,刚进入比较紧,一会水多了紧度正常,能听到水声。叫声是小声哼,大力时才会大声点,传教…

❤15

7 Oct 2026, 06:41 UTC≈4,660 views9 reactionsread 11 October 2026
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#小米 #550p1000pp #态度车 #幼态车 #类白虎 #成华区 工兵:妹儿默认18岁,160左右78斤,黄皮温柔甜美,由于还没长开,是一个美人胚子,潜力无限,几乎无纹身,要抽烟,筷子腿,胸A-,乳头内凹,毛少,包子肥逼,内部粉嫩,耳朵敏感怕痒舔耳会躲,两只眼睛囧囧有神,,口的时间不算长,认真,约等于吃自助,但是态度很好,上床躺在床上任随意亲吻,舌吻是满分,深情,敏感稍微挑逗逼已湿润,紧度紧度适中,有包裹感,妹儿很害羞,但是很配合 ,妹儿会的不多但是配合度还不错,全身随意搬动,后入反馈紧,文静外面加上害羞的身体,怪蜀黍最爱的小排骨嫩妹,链子不容错过,推荐打卡。 工兵:妹子默认18岁,160,82斤左右,身材匀称,无赘肉,胸A,平板,抽烟,无纹身,黄皮,今天是素颜,刘海有一撮黄毛,颜值中等。妹子态度不错,进门会主动递拖鞋,有点害羞,话不是特别多,自述刚下水,只和男朋友做过一次,脱衣服你看着她都会害羞,陪洗都是鼓足了勇气。…

❤9

4 Oct 2026, 06:20 UTC≈6,250 views4 reactionsread 9 October 2026
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👉👉国庆佳节,山河锦绣,愿各位老板假期顺遂,出门平安,回来也有人惦记。👉👉 假期不打烊。成都、重庆及全国一线均可安排,提前说好时间地点,见面满意付,不花一分冤枉钱。 为回馈老客户、接待新朋友,假期期间: 1. 提前半天预定,优先排期,可协免除车费➕额外优惠 2. 首次合作的老板,可备注喜好,尽量按要求安排。 3. 消费满两次,或介绍朋友成交两次可以加入会员群享受更多福利资源 4. 夜场、饭局、短途陪伴均可,时长面议,不接受临时加价扯皮。 5. 以上仅限成年客户,最终解释权归本人。 营业时间:早上11:00—凌晨05:00 有安排的老板尽早说,假期档期紧,晚了排不上。 预定咨询:@Qiaos01 双向限制: @Qiaos01_bot 频道预览 @chengduwaiwei

❤2👍2

4 Oct 2026, 05:40 UTCviews —

成都·我们只爱嫩妹®(已验)车库 pinned «@Cosplay1nf0 老师都注意这个胎神,约课直接忽略,不然被黑自己扛。当然别的群的老师也注意点。»

4 Oct 2026, 05:39 UTC≈5,690 viewsread 9 October 2026

@Cosplay1nf0 老师都注意这个胎神,约课直接忽略,不然被黑自己扛。当然别的群的老师也注意点。

3 Oct 2026, 05:22 UTC≈7,290 views12 reactionsread 9 October 2026
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#小酉妹 #5p9pp #态度车 #无纹身 #类白虎 #成华区 工兵:妹子自诉是重庆的,川话交流,进门很有礼貌,旁站先打招呼,俩眼把你盯着。主动拿鞋,洗澡洗全身,一双小手来回扒拉你,又是抹又是冲,洗完给你擦全身,有种小丫鬟在身边莹莹绕的感觉。正常诉求妹子都简短的回复一个字“好”。身高165,体重80+,长发鹅蛋脸型,身形骨感,四肢细长,奶子a+,小颗乳头,粉,bb🍑批,一小撮毛毛,小褶皱批型,豆豆敏感,搓搓会怕痒求饶。口技有点齿感,包口水,不能深喉。舌吻投入,申舌互动,没感觉到烟味。皮肤一般小白,小腿疤痕点点偏多,机车爱好造成各种皮肤伤。批紧,白浆多,被夺反馈偏少,只有搓她豆豆才能点开刺激反馈。体位姿势都配合,后入臀型比较好看,菊花也粉。总结极品排骨车,态度车。 工兵:妹子重庆人 身高165 体重90 进门态度特别好 拿拖鞋 递烟 洗澡帮搓洗 笑脸相迎 擦干也帮忙擦 皮肤黄黑皮全身无纹身 颜今天是厌世妆挺好看 颜值不错 妹…

❤12

1 Oct 2026, 16:38 UTC≈6,520 views5 reactionsread 8 October 2026
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#小九 #5p9pp #态度车 #类白虎 #成华区 工兵:妹子身高166,体重105,身形丰满+,颜值还多乖,妹子说话挺温柔的,右肩有大面积纹身,右大腿镂空纹身,要抽烟,亲亲没什么烟味。交流嫩感觉到妹子偏紧张,有问才答,偶尔玩笑能把妹子逗笑。洗澡会蹲下来面对JJ清洗,有种直接怼她嘴里的冲动。胸a+小乳头,胸部皮肤白嫩,手感紧实,有小肚子肉肉,毛偏多,bb肥美,蝴蝶唇,进洞紧度一般,会夹,脸部表情自然,主动舌吻,舌头软,互动积极。口技中等,能深喉,齐胸夺嘴可以吞完。总结,脸蛋清秀身材丰满的态度舌舌车。 工兵:妹妹17岁,身高165 ,体重96斤,要抽烟,有纹身,左手新纹的花臂,人照一致,颜值小乖,身材匀称,皮肤偏白,特别滑,摸着很舒服,奶子B+饱满,皮肤滑的原因,手感不错,逼逼白虎批粉嫩,零星几根毛毛,很有食欲。妹儿开朗,话比较多,陪洗认真,舌吻投入,大蟒蛇,口的也很认真,口了很久。戴套进入,女上会摇会动,体力还挺好,奶子抖动…

❤5

Showing the 12 most recent of 14 posts we hold for @ChengduLaoPanhai. 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 3 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 17 October 2026 — this entry's latest reading, not the date you are reading this.

“成都·我们只爱嫩妹®(已验)车库” (@ChengduLaoPanhai), 70,660 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/ChengduLaoPanhai.

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.