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Channel

成都老狼选妃已验证

@chengdudaohang1

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

57,825subscribers

+544 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001833282239
TypeChannel
Username@chengdudaohang1
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/chengdudaohang1

Growth

57,28157,82557,5536 August 2026 — 57,281 subscribers7 August 2026 — 57,313 subscribers8 August 2026 — 57,388 subscribers9 August 2026 — 57,417 subscribers10 August 2026 — 57,495 subscribers11 August 2026 — 57,531 subscribers12 August 2026 — 57,565 subscribers12 August 2026 — 57,629 subscribers14 August 2026 — 57,693 subscribers15 August 2026 — 57,825 subscribers6 August 202615 August 2026
10 measurements spanning 9 days, net +544. 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 57,199–57,907 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 17:2357,825+132
14 Aug 2026, 07:5757,693+64
12 Aug 2026, 23:1257,629+64
12 Aug 2026, 02:0257,565+34
11 Aug 2026, 05:3257,531+36
10 Aug 2026, 05:5857,495+78
9 Aug 2026, 05:0657,417+29
8 Aug 2026, 03:5357,388+75
7 Aug 2026, 06:4657,313+32
6 Aug 2026, 20:1657,281first reading

Engagement

18 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.49%
avg views ÷ 57,825 subscribers
Avg views / post
2,020
18 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
18
of 18 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held18 (5 August 202615 August 2026)
Views total36,312
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 12:04 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
1m 35s
Average length
11s

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.

Recent posts

15 Aug 2026, 09:46 UTC258 viewsread 15 August 2026
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📊 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 【花名】#雪宝宝 【地址】#省骨科医院附近 【标签】#武侯区 #代聊 #御姐 #嫩御 #颜值车 #颜值高 #身材好 #皮肤白 #态度好 #配合度高 #白虎 #三点粉 #女友感 #舌吻 #无烟车 #不抽烟 【车牌】@xuebb678 【课费】8P/13PP #8/13 【硬件】妹子年龄21岁左右,人照9成相似,颜值在线,很有眼缘,身高165,体重50上下,天然C胸,手感非常不错,乳晕也小,妹儿为难的无烟车,可以进门就来点前戏,抱到妹儿亲上下其手,妹儿很配合,妹仔很态度好,会主动帮拿鞋,妹儿皮肤好又白又滑,还没有纹身,硬件评分9分+,妹儿的胸很挺胸型也不错,天然的手感非常好,洗完上床,服务有陪洗,不算多,但是做的很认

Signed 宸二郎

15 Aug 2026, 07:01 UTC540 viewsread 15 August 2026
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📊 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 成都老狼修车群 🔘专属验证 【花名】#柚希 【地址】#南门 【标签】#武侯区 #代聊 #御姐 #嫩御 #女友感 #学生 #兼职 #无风尘气 #初下水 #三点粉 #反馈真实 #舌吻 #会穿搭 #皮肤白 #相似度高 【车牌】@youxi5201 【课费】6p/9pp #6/9 【硬件】妹子年龄24岁左右,人照8.5成相似,身高160,体重90左右,妹妹会穿搭,粉粉红色的长短袖,光腿若隐若现,少女感十足,很吸人眼球,天然B+🐻上面带着两个黑色的车厘子,🦋形状的b外黑里粉切毛发旺盛,看的人欲罢不能,妹儿整体是微胖的身材,让人感觉恰到好处,妹妹还算性格不错,能聊天,让你不那么陌生,服务从洗澡开始,妹儿会帮你洗,你可以玩弄着

Signed 宸二郎

15 Aug 2026, 06:36 UTC604 viewsread 15 August 2026
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📊 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 【花名】#御梦子 【地址】#石羊 【标签】#武侯区 #代聊 #嫩妹 #嫩御 #颜值车 #身材车 #态度车 #大长腿 #大胸 #舌吻 #盘腿日 #姿势配合 【车牌】 @yumeng_686 【课费】6p/10pp #6/10 【硬件】妹子19岁左右,人照8成相似比较御姐,裸高170cm,体重45kg,高跟👠大长腿挺吸睛的,大奶C胸,乳头小,手感很滑嫩,皮肤好偏黑,不胖不瘦,没有肚子,腹部有纹身,紧致皮肤,逼逼很紧很润,敏感车嫩批,毛量正常,一插自动夹,服务偏少就洗澡,舌吻,69,裸口,天然紧批,学生妹,性格不错,聊天情绪比较高,态度好,皮肤滑滑的,爱爱可以扛着大长腿干,小穴天然紧致,插进去能感觉不自觉的夹你,传教会用

Signed 赵日天(双向私信机器人) 注意骗子高仿号

14 Aug 2026, 02:45 UTC≈1,330 viewsread 15 August 2026
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📊 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 【花名】#茉莉 【地址】#东郊记忆 【标签】#成华区 #代聊 #嫩妹 #身材车 #颜值车 #态度车 #皮肤白 #逼紧 #大蟒蛇 #主动 #邻家小妹 #女友感 【车牌】@moolillll 【课费】7P/12PP #7/12 【硬件】妹子年龄18岁左右,人照8.5分相似,身高164,体重90斤,皮肤光滑,无纹身,凶器有B,很柔软,奶头挺立,身材好,身材如视频一样,无赘肉,腿长,蝴蝶逼,粉逼,毛毛比较多,逼很紧,水很多,态度好,服务从陪洗开始,另外就是妹妹简单的嫩妹三件套,舔胸,口,舌吻,舌吻是大蟒蛇,很主动,口活无齿感,爱爱很配合,反馈也很真实。 总结;人照一致,身材如视频一样,逼超紧,皮肤白嫩,邻家小妹,推荐打卡。

Signed 赵日天(双向私信机器人) 注意骗子高仿号

14 Aug 2026, 02:44 UTC≈1,400 viewsread 15 August 2026
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📊 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 【花名】#cc 【地址】#天府一街 【标签】#武侯区 #代聊 #御姐 #少御 #身材车 #颜值车 #态度车 #配合度高 #陪洗 #舔胸 #裸口 #舔蛋 #深喉 【车牌】@CC52010 【课费】6p/9pp #6/9 【硬件】老师年龄23岁左右,人照9分相似,身高162,体重90左右,排骨御姐,皮肤光滑,无纹身,凶器有A+,奶头粉,颜值身材很不错,身上无赘肉,腿修长笔直,直接看到都能硬,老师还准备了丝袜,到床上妹儿就开始服务,埋头就主动和你🐍,然后舔胸,一路亲下去,口活很不错,舌头灵活,爱爱各个姿势都很配合,抗得住桩,你可以边插边蛇,妹妹全程叫声真实,能日高潮,反馈很强烈。 总结;排骨御姐,颜值耐看,性格态度非常好

Signed 赵日天(双向私信机器人) 注意骗子高仿号

13 Aug 2026, 03:57 UTC≈1,980 viewsread 15 August 2026
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📊 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 【花名】#樱桃 【地址】#昭觉寺 【标签】#成华区 #自聊 #御姐 #极品 #大E胸 #颜值车 #白虎 #服务车 #态度车 #身材车 #穿衣镜 #姿势配合 #口技一绝 【车牌】@baihuyingtao 【课费】7P /12PP #7/12 【硬件】身高158,体重100斤左右,年龄目测 24.5岁左右,照片没露脸,颜值小乖,凶器有E,匈奴人最爱,胸大,手感好,乳晕较淡,皮肤还很白,皮肤白,天然白虎馒头逼,房间很大,客厅卧室都开了空调的,服务有帮洗,天🐻 天蛋,口,69,舌💋 ,老师白色开衫真空接待,未发现纹身,帮忙洗澡,进卧室空调是开好了的,正对床有一面穿衣镜,躺着给你舔胸,左边右边然后缓缓向下给弟弟口,还有跪在

Signed 赵日天(双向私信机器人) 注意骗子高仿号

12 Aug 2026, 09:19 UTC≈2,370 viewsread 15 August 2026
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✈️成都会所半套全套海选✈️ 🥇成都会所 半套 全套 海选🥇 🐉不办卡不充值 没有隐形消费🐉 👎成都100家门店 👎 ✈️提供位置就近安排 全城预约安排✈️ 半套 均价500~700(明码标价具体咨询客服》 全套 均价1000~1500《明码标价具体咨询客服》 预约客服 @FD3111BOT 营业中🌈 半套全套:#青羊,#武侯、#双流,#龙泉,#新都,#郫县,#温江,,#青白江。 🈺业时间:中午2:00-凌晨4:00 💋半全套 海选 极致服务 情人式服务: 裸吹/共浴/丝袜/按摩 口·真颜值/商素庆/直度配合 丝袜 制服 鸳鸯戏水 配合度拉满 气质大牌 形象极佳 谈吐优雅 举止大方 微信: FC195195 微信:kefuyy8866 QQ: 502056374 永久TG客服 @KouBaoHuiSuo(口爆会所) 会所频道① @ly1351 会所频道② @shaokaoo 成都会所—修车觅蚌交流群 https://t.m

Signed 赵日天(双向私信机器人) 注意骗子高仿号

10 Aug 2026, 22:54 UTC≈2,690 viewsread 13 August 2026
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📊 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 【花名】#泰妹Zara 【地址】#东郊记忆 【标签】#成华区 #颜值车 #身材车 #态度车 #服务车 #泰国人 #异域风情 #舌吻 #很主动 #配合度高 #瘦小 【车牌】 @CDZara9 【课费】5P/9PP #5/9 【硬件】老师年龄26岁左右,人照8.5成相似, 人照基本一致,身高15。体重43,天然B+胸,手感好,乳头大,乳晕小,异域风情,泰国妹妹,体型偏瘦,老师本人与照片基本符合,然后简单交流之后发现老师中文基本不会,沟通基本上都是有简单的OK或no,但想表达的老师基本都能get到,其他的如果比较复杂,可以用翻译软件,泰国妹妹比较主动,全程服务,态度非常好,而且非常谦虚,碰到你或者什么都会说sorry,体验

Signed 赵日天(双向私信机器人) 注意骗子高仿号

10 Aug 2026, 22:54 UTC≈2,470 viewsread 13 August 2026
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📊 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 【花名】#小蛮娘 【地址】#天府二街 【标签】#武侯区 #代聊 #御姐 #嫩御 #少御 #颜值车 #服务车 #身材车 #态度车 #敏感车 #大蟒蛇 #无69 #敏感车 #AB面 #口技一流 #陪洗 #调情 #指滑 #毒龙 【车牌】 @manniang990 【课费】7P/12PP #7/12 【硬件】老师年龄21岁左右,人照8成相似,身高160,体重105左右,奶子有D+大小,无科技,手感柔软,服务有AB面 口交 陪洗 调情 指滑 ,蛇吻(大蟒蛇) ,毒龙,进门老师态度好,很主动,主动拿鞋洗漱,放水,老师全称帮洗,洗得很仔细干净,洗完后帮忙擦,还会蹲下给脚擦干,上床老师先A面舔胸,耳朵,舌吻,然后一路下滑到蛋蛋,

Signed 赵日天(双向私信机器人) 注意骗子高仿号

10 Aug 2026, 08:05 UTC≈2,470 viewsread 12 August 2026
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📊 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 【花名】#舒雅 【地址】#市中心 【标签】#武侯区 #代聊 #御姐 #颜值车 #态度车 #身材车 #大D胸 #无蛇 #口技一绝 #懂人 #会聊天 #很主动 #情绪价值高 【车牌】@shuya011 【课费】7p/12pp #712 【硬件】老师年龄26岁左右,人照8.5成相似,颜值和照片没有多大差别,典型的御姐类型,身高165,身材s型,天然两对大灯有D,很饱满,不下垂,挺拔有弹性,手感非常不错,老师很会聊天不冷场,洗澡很细致,老师还会按摩,让人很放松,一对大灯给你全身摩擦,该有的服务都有,口技一流,很销魂,123的很容易直接交货,就像弟弟在老师舌头上跳舞,很难遇到口活这么霸道的,老师水很多,很敏感,爱爱很有感觉,反

Signed 赵日天(双向私信机器人) 注意骗子高仿号

10 Aug 2026, 07:58 UTC≈1,970 viewsread 12 August 2026
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📊 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 【花名】#李师师 【地址】#磨子桥 【标签】#武侯区 #南门 #嫩妹 #萝莉 #御姐 #JK #jk #颜值 #网红 #大长腿 #A4腰 #感觉车 #态度车 #陪洗 #水中萧 #亲胸 #舌吻 #大蟒蛇 #舔咪咪 #亲蛋蛋 #深情69 #吹箫 #深喉 #调情 #紧湿穴 #水多 #良家 #敏感 #粉嫩 #配合 #主动 #女上 #高跟 #高跟 #肉丝 #丝袜 #制服 #包时 【车牌】 @lishishi01 【课费】7P/12PP #7/12 【硬件】一代名妓李师师,敢取这个名字,绝对有点东西。老师是广C来的小表妹,话说两广有异域风情像猴子,但是老师异域风情得又高级又美艳,网红级颜值,胜过不少网红脸。真应了那句“万般风月

Signed 赵日天(双向私信机器人) 注意骗子高仿号

9 Aug 2026, 08:02 UTC≈1,940 viewsread 10 August 2026
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📊 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 【花名】#周于希 【地址】#万象城 【标签】#成华区 #颜值车 #服务车 #态度车 #身材车 #大长腿 #情绪价值车 #感觉车 #玩得开 #学猫叫 #大蟒蛇 #陪洗 #水中萧 #深喉 #毒龙 #舔蛋 #耳漫 #回龙萧 【车牌】@zhouyuxisl 【课费】8P/14PP #8/14 【硬件】老师年龄26岁左右,照9分相似,真人颜值很高,身高170,体重105,皮肤光滑,有点小肚子,但腿纤细,大腿手臂有少许纹身,天然C,有点塌,奶头挺立,蝴蝶户型,毛量略多,无异味,偏褐色,水量适中,紧度偏紧,会恶作剧,躲门后发出小猫叫,进门就主动抱着你,开始舌吻,大蟒蛇,服务有陪洗,洗澡洗得很仔细,还有水中萧和深喉,床上老师更猛

Signed 赵日天(双向私信机器人) 注意骗子高仿号

Showing the 12 most recent of 18 posts we hold for @chengdudaohang1. 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.

Citation-graph rank

Citation-graph rank — 245,160 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“成都老狼选妃已验证” (@chengdudaohang1), 57,825 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/chengdudaohang1.

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.