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 |
93 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 114 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 28 September 2026 |
|---|---|
| Posts held | 93 (5 August 2026 – 28 September 2026) |
| Views total | 107,640 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 04:24 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 30 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】#安锦 【地址】#东郊记忆 【标签】#成华区 #自聊 #嫩御 #御姐 #颜值不错 #身材好 #修长腿 #大蟒蛇 #很主动 #服务车 #态度车 #很反差 【车牌】@anjin043567 【课费】6P/10PP #6/10 【硬件】妹子年龄22岁左右，人照9成相似，本人比照片精致，妹子妆造和频道里照片一模一样，本人比照片还要好看一些，一头齐腰的黑长直。身高170左右，体重95斤，非常纤细，筷子腿，马甲线，熊b圆润有弹性，皮肤偏白，很光滑没有纹身，进浴室就主动和你大蟒蛇，难得的还有水中萧，妹子有一箱的衣服和丝袜任你选，特别推荐高筒黑丝，能把筷子腿衬托得更修长，妹子喜欢大蟒蛇，能直接蛇到你窒息，其他服务有舔胸、舔蛋…
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】#小瑞 【地址】#天府二街 【标签】#武侯区 #代聊 #御姐 #少御 #鸳鸯浴 #水中潇 #A面 #口活 #深喉 #吸皮漫游 #舔蛋 #骚气 #水多 #女友感 【车牌】@xiaorui333521 【课费】6P/10PP #6/10 【硬件】身高162左右，丰满型，屁股大，妹儿大概年纪28岁左右，人照8.5成相似，凶器为掌中宝B，老师会穿搭，小短裙+高跟，声音温柔好听会夹是我的菜。老师广西妹子，正常黄皮，照片8.5分像，胸掌中宝，乳头褐色黄豆大小，敏感可把玩儿，下面馒头逼，紧致水量适中，服务有鸳鸯浴，水中潇，A面，口活，深喉，吸皮漫游，老师口活不错，舔蛋服务一流，还会调情，比较风骚，能提供情绪价值，女友感。爱…
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】#逸可 【地址】#春熙路 【标签】#锦江区 #代聊 #嫩妹 #御姐 #嫩御 #萝莉型 #肉感型 #颜值车 #大蟒蛇 #态度车 #敏感车 #配合度高 #情绪价值高 【车牌】@yk8989 【课费】8P/13PP #8/13 【硬件】妹子年龄20岁左右，频道照片对比颜值8.5分，身高160，体重100左右，有肉感，凶器有C，奶头内陷，不踏，身材的话要比频道身材照胖一些，有肉感的身材，会一起洗澡，洗完上床妹妹先从口开始，口的时候会望向你，舌头伸出来不停的龟头打转，然后含住，深喉，舔蛋，舔胸，做的很到位，妹子逼逼毛量少搓，蝴蝶户型，外褐内粉，紧度很紧，水量适中，女上给力，妹儿很敏感，叫声真实，传教可以埋头亲，大蟒蛇，…
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
📊 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】#兔兔 【地址】#石羊 【标签】#武侯区 #代聊 #嫩妹 #颜值高 #有肉肉 #态度车 #逼紧 #后入 #大胸 #大蟒蛇 #皮肤好 【车牌】@uhfj2255 【课费】6P/9PP #6/9 【硬件】身高168，略有点小肚子，丰乳肥臀，妹子年龄23岁左右，人照9分相似，天然大D，两个巨大的车灯晃瞎你的眼睛，老师陪洗，老师皮肤可以，有点小肚子，老师嫩妹服务不多就舔胸，舔咪咪，舔蛋蛋。裸口，女上两个巨大车灯直晃眼睛，视觉拉满，两个手都抓不过来，爱爱进入困难，口比较小，大鸡鸡慎行，推荐后入推车，特别爽，整体感觉不错，想吃嫩的可以打卡。 已验证： 报告链接1 报告链接2 报告频道：@laolanggb 狼友…
Signed 赵日天（双向私信机器人） 注意骗子高仿号
【花名】#漩涡奶糖 【地址】#牛市口 【标签】#锦江区 #自聊 #御姐 #态度好 #颜值高 #身材好 #敏感车 #喷水娃 #水多 #穴紧 #爱爱投入 #大蟒蛇 #眼镜秘书 【车牌】@shinaitang123 【课费】7P/12PP #7/12 【硬件】老师年龄26岁左右，人照8成，身高166，体重90来斤左右，凶器有C ，服务有亲🐻 ，裸口，自慰喷水，蛇吻，爱爱，老师属于那种见第一面就会弟弟就不自觉抬头挺胸的那种，老师态度很好，很热情，进门就给你递水递烟，给你换鞋，很会聊天，不冷场，洗好后老师主动换好服装，带上眼镜，很有职场秘书的感觉，老师身上无纹身，先会来一个自慰喷水，快得很，你都还没反应过来老师就开始喷水了，小穴外褐内粉，老师会主动蛇，老师真的水多，夺几下就出水了，继续夺继续出水，姿势任意切换老师都很配合，爱爱很投入，叫声很大很爽，会叫你大力摸她的胸，后入打屁股，水喷的很多，床单都打湿一大片，综合老师是一个非常出色的好老…
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】#糯米 【地址】#武侯区 #红牌楼 【标签】 #御姐 #服务控 #身材控 #大胸 #大D胸 #深喉 #水中萧 #舌吻 #口活好 #胸推 #臀推 #体贴服务 #黑丝 #按摩 #指划 #口爆 #情趣 #诱惑 #花式69 #丝袜 #态度控 #感觉控 #可爱 #娃娃脸 #紧湿穴 #水多 #女友感 【车牌】 @nuomi907 【课费】5P/8PP #5/8 【硬件】娃娃脸，可爱的服务型少妇老师，皮肤白嫩，大D胸，手感好，性格乖巧。陪洗认真，有水中萧，能舌吻，各项服务也很认真。老师刚下水，日感真实，水也多，插得直滴水。体位配合，反馈超级好啊！虽然是少妇，但是给你的是女友般的感觉呢！ 已验证： 报告链接1 报告链接2…
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】#迪迪 【地址】#金融城 【标签】#武侯区 #代聊 #御姐 #颜值车 #身材车 #态度车 #舌吻 #前凸后翘 #凹凸有致 #女上永动机 #情人感 #异域风 #不风尘 #女友感 #制服丝袜 #性感 #配合度高 #反馈真实 #混血 【车牌】@dd_88520 【课费】10P/16PP #10/16 【硬件】首先高价位肯定有高价位的资本，老师身高166左右，90斤左右，人照8分，颜值可以打9分，长相非常漂亮，新疆混血，御姐型，看着非常有感觉。妹子自述24岁，爸爸新疆的妈妈四川的，颜值高，身材前凸后翘，老师就像情人一样，不会很拘束，你可以让抱抱，亲小嘴，黑丝大长腿随便摸，奶子有C，乳头大小适中，无纹身，皮肤非常光滑…
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】#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
Showing the 12 most recent of 93 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.