Channel
@chengdudaohang1
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
60,210subscribers
+2,929 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001833282239 |
|---|---|
| Type | Channel |
| Username | @chengdudaohang1 |
| Description | 在次群上牌老师均已验证（定金超过一百的不要去） 管理 @eevXBO 上牌： @zhaoritianllsa_bot |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/chengdudaohang1 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 79% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 17:40 | 60,210 | +157 |
| 16 Sept 2026, 11:19 | 60,053 | +79 |
| 14 Sept 2026, 14:37 | 59,974 | +112 |
| 13 Sept 2026, 02:55 | 59,862 | +170 |
| 11 Sept 2026, 06:20 | 59,692 | +628 |
| 8 Sept 2026, 08:00 | 59,064 | +205 |
| 5 Sept 2026, 04:42 | 58,859 | +130 |
| 3 Sept 2026, 06:39 | 58,729 | +123 |
| 2 Sept 2026, 00:43 | 58,606 | +72 |
| 1 Sept 2026, 00:36 | 58,534 | +48 |
| 31 Aug 2026, 02:06 | 58,486 | +96 |
| 30 Aug 2026, 01:39 | 58,390 | +3 |
| 29 Aug 2026, 04:53 | 58,387 | +67 |
| 28 Aug 2026, 01:55 | 58,320 | +19 |
| 27 Aug 2026, 03:44 | 58,301 | +119 |
| 26 Aug 2026, 01:33 | 58,182 | +22 |
| 25 Aug 2026, 02:29 | 58,160 | +46 |
| 23 Aug 2026, 16:16 | 58,114 | +24 |
| 22 Aug 2026, 02:27 | 58,090 | +10 |
| 20 Aug 2026, 20:42 | 58,080 | first reading |
85 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 99 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 85 (5 August 2026 – 22 September 2026) |
| Views total | 115,651 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 15:02 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.
Lifetime counters from Telegram’s own channel header, read 22 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.
Measured directly from 32 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.
📊 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】#张予馨 【地址】#天府一街 【标签】#武侯区 #代聊 #御姐 #网红脸 #颜值车 #身材车 #态度车 #服务车 #制服 #情绪价值高 #大胸 #感觉车 #主动 #很投入 #情人感 #大蟒蛇 【车牌】@acujs2929727 【课费】8P/15pp #8/15 【硬件】身高165，体重00左右，妹子年龄21岁左右，人照9分，凶器有D，妹妹颜值挺高，网红脸御姐的感觉，穿着短裙，胸很大很挺性感，进门就是一口一个宝宝，坐床边就主动把你扑倒亲亲，妹儿真空你可以上下其手，真的是一个很主动的老师，妹儿边亲还边摸你二弟，两下就让弟弟邦邦硬，真的很有感觉，妹儿准备了好几种制服供你选择，服务舔胸舔蛋还含住口，深喉功底也不错，…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 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】#软糖 【地址】#怡心湖 【标签】#双流区 #代聊 #御姐 #少御 #逼紧 #会喷水 #情绪高 #服务车 #态度车 #皮肤好 【车牌】@joihhbyy 【课费】6p/10pp #6/40 【硬件】妹子年龄21岁左右，人照8成相似，身高160cm 体重49kg，大奶胸C，水乳型，身材可以，没纹身，凶器有C，敏感，水乳，手感滑嫩，爱爱，洗澡，口，爱爱，喷水，指滑按摩，老师很客气，性格好，主动带你洗澡，床上开始先给你按摩，大奶都吃了起来，妹子会聊天，情绪也挺好。C胸吃得很舒服，屁股安逸很大，皮肤滑滑的，有舌吻，服务很到位，传教女上后入都挺舒服的，也很配合，还很主动迎合，重点还会喷水，喜欢喷水的可以打卡，属于会喷水…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 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】#琳琳 【地址】#天府三街 【标签】#武侯区 #自聊 #少御 #少妇 #服务车 #态度车 #大胸 #莞式一条龙 #水中萧 【车牌】@LS2588 【课费】4p/6pp #4/6 【硬件】老师年龄28左右，凶器大c，人照8分相似，身高162左右，体重100左右，大奶，老师有陪洗，还有水中萧，服务为莞式一条龙，首先从背面开始按摩，指滑，吸皮等，正面又会来一套，服务真心不错，小姐姐口技也了得，还会不停的用眼神挑逗你，在魅惑的挑逗下，你可以进入老师身体，水很多，可以边插边揉老师大奶子，绝对爽翻天老师各种姿势很配合，反馈也很真实，综合小姐姐属于服务型少妇，大奶，后入爽，喜欢服务的放心冲。 …
Signed 宸二郎
📊 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】#尤妮 【地址】#天府三街 【标签】#武侯区 #自聊 #颜值车 #人照一致 #妆容精致 #身材车 #皮肤白嫩 #骚话不断 #反差 #态度车 #情绪价值车 #配合度高 #无蛇 【车牌】@xml0606 【课费】8P 12PP #8/12 【硬件】身高163cm 体重85斤，妹子年龄20岁左右，人照9.5成相似，凶器有b+， 小区比较安全，需要刷卡上楼，妹子御姐明星脸，化的全妆，很漂亮，频道里照片反而没本人好看，个子比较小巧，但是凹凸有致，腰细还能摸到肋骨，屁股有肉 胸也大小适中。皮肤偏白，手感嫩滑，有少量纹身，会热情陪坐在沙发上与你聊天，然后一起洗澡澡，洗完很贴心帮擦干，无舌吻，妹子服务有舔胸，简易的臀推胸推，…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 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】#西柚 【地址】#市中心 【标签】#锦江区 #代聊 #御姐 #嫩御 #明星脸 #颜值车 #高品质 #身材车 #皮肤白 #态度车 #配合度高 #大蟒蛇 #主动 #美胸 #大长腿 #情绪价值车 #体验好 【车牌】@xiy662 【课费】8P/13PP #8/13 【硬件】妹儿年龄22左右，人照9分相似，身高165，体重90斤左右，天然B+胸， 听妹妹说刚做不久，一进门就是邻家小妹妹的细声细语，颜值很漂亮，长得有点像杨幂，身材偏瘦但腰臀比很绝，三点粉嫩，服务不算多也不少，但是超级赞，每一项都很认真的去做，洗澡的时候会主动贴贴抱抱，体验感拉满，特别说一下妹妹的口技，非常棒，差点就交代…
Signed 宸二郎
📊 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】#雅雅 【地址】#春熙路 【标签】#锦江区 #代聊 #嫩妹 #颜值车 #高品质 #反馈真实 #态度车 #身材车 #大长腿 #C胸 #丝袜 #颜值诱惑 【车牌】@wen131120 【课费】8P/13PP ##8/13 【硬件】妹子年龄18岁左右，人照9分相似，老师的颜值很高，人照一致，长相甜美，身高172，体重48左右，凶器有C，颜值高身材好，又白又嫩，该瘦的地方瘦该有肉的地方有肉，老师陪洗很认真，虽然嫩妹，但是一点不打马虎眼，老师的脸很犯规，颜值相当高，光是看到老师的脸口就能让你硬，老师大长腿穿上丝袜更是一绝，扛在肩上看着老师的脸输出绝对让你爽的不行，各种姿势随意切换，老师都很配合，反馈也很自然，良家感十足…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 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】#雅琪琪 【地址】#红牌楼 【标签】#武侯区 #自聊 #御姐 #少御 #服务车 #态度车 #会所服务 #莞式一条龙 #反馈真实 #会叫老公 【车牌】 @qiqiqi5577 【课费】6P/10PP #6/10 【硬件】妹子年龄25左右，人照8成相似，身高155左右，体重90左右，颜值不错，耐看，妆容精致。一头棕色长发，可爱型，聊天不冷场，凶器b+，小姐姐陪洗，还有水中萧，服务老师会轻轻按摩，小姐姐会所出身服务项目很多，属于菀式一条龙，胸推过水口莎，技术不错，毒龙也很深入还有按摩，指滑，吸皮，毒龙，特别是毒龙，酥酥麻麻的很舒服，口的时候舌头在龟头上不停的打转，爱爱老师声音表情配合度很好，感觉很投入，姿势配合，尤…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 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】#心心 【地址】#动物园 【标签】#成华区 #代聊 #嫩妹 #刚下水 #邻家小妹 #可爱型 #颜值车 #身材车 #态度车 #反差 #童颜巨乳 #细枝硕果 #逼紧 #水多 #皮肤白白嫩 【车牌】@rxjh88 【课费】8P/11PP #8/11 【硬件】妹子年龄18岁左右，照片有美颜，老师和照片有出入，妹儿真实颜值不算大美女，但是属于可爱的邻家妹妹型，身高165，90斤左右，身材苗条，没有赘肉，屁股又大又圆又翘，皮肤白嫩，C罩杯的吊钟腺体胸，完完全全的童颜巨乳，爱爱插进里面又紧又烫，AA过程反馈自然，俏皮可爱。一双腿和脚穿上丝袜特别好看，配上童颜巨乳简直绝了，和老师翻云覆雨老师特别享受，一直在说很舒服，丝毫没…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 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】#薇儿 【地址】#天府五街 【标签】#高新区 #南门 #御姐 #大胸 #大C胸 #颜值 #感觉车 #态度车 #模特 #大长腿 #水中萧 #陪洗 #按摩 #粉嫩 #亲胸 #舌吻 #大蟒蛇 #亲蛋蛋 #吹箫 #深喉 #深情69 #胸推 #调情 #紧湿穴 #水多 #吸皮 #敏感 #配合 #主动 #女上 #反差 #高跟 #高跟 #十指连心 #倒挂金钩 #丝袜 #制服 #叫老公 #叫爸爸 【车牌】@weier13140 【课费】6P/9PP #6/9 【硬件】平面模特出身的老师，颜值不用说。大眼睛，黑长直发。170身高，身材很棒，🐻c软糯，屁股很翘。肤色白，皮肤滑嫩。服务态度超好，陪洗有水中萧，床上服务也是拉满，…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 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】#橙汁 【地址】#东城映像 #理工大学 【标签】#成华区 #嫩妹 #颜值 #大胸 #大C胸 #翘臀 #粉嫩 #指划 #舌吻 #蛇蛇精 #水多 #舔胸 #按摩 #深情69 #水多 #陪洗 #口活儿 #三件套 #女上位 #后入 #配合 【车牌】@chengzhi9999 【课费】6P/9PP #6/9 【硬件】19、20岁的嫩妹老师，性格乖巧可爱，从她的频道“牛子研究中心”就可以看出，颜值高的同时还有大C胸，皮肤白嫩。进门就给你女友般的感受，主动索吻，而且猛的舌你，伸手摸你牛子，让你秒变娇羞。虽说是嫩妹三件套，但是口得含情脉脉，口得很猛也是特点。支持女上位，后卫入等多种姿势，沙发等地点随你挑选，让你感受不一样的…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
📊 1条车评，综合分 7.8 好评 100% | 人照 8.0 | 服务 8.5 中评 0% | 颜值 8.0 | 态度 8.0 差评 0% | 身材 7.0 | 环境 7.0 👆 【点击查看评价】 【花名】#小羊 【地址】#大源 【标签】#武侯区 #自聊 #御姐 #人照相似度高 #颜值御姐 #身材好 #服务不错 #敏感体质 #会抽搐 #很骚气 【车牌】 @YNAAAB21 【课费】6P/9PP #6/9 【硬件】老师年纪26左右，老师人照没区别，属于御姐，本人觉得比照片还好看，也很可爱，声音很温柔身材也很顶，该有肉的地方有肉，穿上丝袜太撩人，老师非常健谈，很逗，聊天很有趣，身高有165左右，胸A+，服务有莞式服务:陪洗、裸口、臀推 、舔咪咪、舔蛋、漫游全身，服务很专业，技术过硬，口技了得很容易被123，里面非常润，叫声也很骚、很撩人，爱爱老师很配合，高潮的时候，会全身抽搐，综合开五…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
Telegram必备的搜索引擎，极搜JISOU帮你精准找到，想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5787770240
Signed 极搜🔍资源搜索@JISOU
Showing the 12 most recent of 85 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.
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.
Named by 5 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.
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.
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.
“成都老狼选妃已验证” (@chengdudaohang1), 60,210 subscribers as measured 18 September 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.