专业成都外围,能推荐的都是验证过本人里头选出来的,节约您宝贵的时间 见面交易 不满意包退换! 🉑上🚪 自带工作室🏠 请提前预约 非诚勿扰 ! 给我一份信任,还您一份愉悦 有任何特殊要求请私聊! 预约客服: t.me/zhouzhou2288 双向联系:@zhouzhou028_bot 选人频道: t.me/zhouzhou028028 交流群组: t.me/cdkaopu028
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Channel
@cdline1youxuan
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
35,857subscribers
+10,447 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003078225884 |
|---|---|
| Type | Channel |
| Username | @cdline1youxuan |
| Description | 本频道只收录成都全网好评老师!若发现在榜老师有任意真实差评,立刻下榜!免费上榜联系 @Cdyxsb_bot 主群链接 @cdlspst |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/cdline1youxuan |
Adult — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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 |
|---|---|---|
| 25 Sept 2026, 23:36 | 35,857 | +1,922 |
| 19 Sept 2026, 08:38 | 33,935 | +488 |
| 16 Sept 2026, 23:39 | 33,447 | +477 |
| 15 Sept 2026, 05:00 | 32,970 | +432 |
| 13 Sept 2026, 13:20 | 32,538 | +310 |
| 11 Sept 2026, 15:22 | 32,228 | +705 |
| 9 Sept 2026, 03:40 | 31,523 | +586 |
| 5 Sept 2026, 18:19 | 30,937 | +257 |
| 3 Sept 2026, 15:41 | 30,680 | +200 |
| 2 Sept 2026, 11:55 | 30,480 | +1,981 |
| 1 Sept 2026, 10:25 | 28,499 | +93 |
| 31 Aug 2026, 07:08 | 28,406 | +85 |
| 30 Aug 2026, 05:46 | 28,321 | +615 |
| 29 Aug 2026, 04:23 | 27,706 | +166 |
| 28 Aug 2026, 00:53 | 27,540 | +513 |
| 27 Aug 2026, 02:36 | 27,027 | +89 |
| 26 Aug 2026, 05:06 | 26,938 | +73 |
| 25 Aug 2026, 07:32 | 26,865 | +579 |
| 24 Aug 2026, 09:05 | 26,286 | +80 |
| 22 Aug 2026, 19:44 | 26,206 | first reading |
78 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 97 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 1 October 2026 |
|---|---|
| Posts held | 78 (5 August 2026 – 1 October 2026) |
| Views total | 41,075 |
| Reactions total | 1,269 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Oct 2026, 19:17 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 1 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 19 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.
4,246 reactions across 78 posts, in 9 distinct kinds. The most used accounts for 36.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,548 | 36.5% | |
| 👍 | 1,227 | 28.9% | |
| 🔥 | 507 | 11.9% | |
| 😁 | 485 | 11.4% | |
| 🎉 | 469 | 11.0% | |
| 💩 | 4 | 0.094% | |
| 👎 | 3 | 0.071% | |
| 👏 | 2 | 0.047% | |
| 👀 | 1 | 0.024% |
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 78 of the 78 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 4,246 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 78 most recent posts we hold, published 5 August 2026 to 1 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cdline1youxuan. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 78 most recent posts we hold for this entry, published 5 August 2026 to 1 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
专业成都外围,能推荐的都是验证过本人里头选出来的,节约您宝贵的时间 见面交易 不满意包退换! 🉑上🚪 自带工作室🏠 请提前预约 非诚勿扰 ! 给我一份信任,还您一份愉悦 有任何特殊要求请私聊! 预约客服: t.me/zhouzhou2288 双向联系:@zhouzhou028_bot 选人频道: t.me/zhouzhou028028 交流群组: t.me/cdkaopu028
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💯 评分系统 | 综合评分:9.5 好评: 1 |中评: 0 |差评: 0 人照:9.0 |颜值:9.0 |身材:10.0 服务:9.0 |态度:10.0 |环境:10.0 👉点击查看👈 📊 5条车评,综合分 9.3 好评 100% | 人照 9.3 | 服务 9.1 中评 0% | 颜值 9.3 | 态度 9.5 差评 0% | 身材 9.3 | 环境 9.6 👆 【点击查看评价】 【成都优选验证榜】 【花名】#青柠 【车牌】@qingning668 【地址】#天府五街 【标签】#高新区 #南门 #嫩妹 #冷白皮 #6p #态度车 【硬件】165、45、B,乳头有点大、皮肤白、外褐内粉,毛量一般,很湿,很紧 【软件】 口,深喉,舔蛋,舔咪咪, 【课费】 600p/60分钟 1000pp/90分钟#6/10 【验证】#已验证 验证报告 【综合评分】通过…
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【成都优选验证榜】 【花名】#兔兔 【车牌】@uhfj2255 【地址】#国防乐园 【标签】#高新区 #bbw #嫩妹 #大胸 #蛇蛇精 #敏感车 #邻家妹妹感 #6p 【硬件】身高:167cm+(老师比较高)(邻家妹妹一般可爱) 体重:55kg(肚子会有点肉肉)凶器:D胸(真!吊钟坚挺型)(适合胸奴人)乳头黄豆大小,有乳晕.(颜色浅深)户型:蝴蝶型外褐内粉,较紧.水很多.正常毛量 【软件】陪洗 裸口(口得很久…)大蟒🐍(管饱)但是你得没口臭.(老师不接受69)爱爱(邻家妹妹的良人感)(妹妹眼睛过敏不能带隐形眼镜,初见妹妹像爱学习的好学生,带着黑色的框架眼镜) 【课费】 600p/50分钟 900pp/80分钟#6/9 【验证】#已验证 验证报告 【综合评分】8.5通过软件评分、硬件评分得出的综合评分 【优惠】 【特别提示】老师和照片上的风格还是有些区别的. 老师本人特别良家感的嫩妹.(带着框架眼镜的…
❤18🔥10👍7🎉6😁2
【成都优选验证榜】 【花名】#菲莉娅 【车牌】@fly3678 【地址】#成华区 动物园 【标签】#成华区 #嫩妹 #人照相符 #代聊 #颜值车 #身材车 #感觉车 #夹子音 #🐍吻 #大蟒蛇 #匈奴人 #女友感 #感觉车 #深喉 #蝴蝶逼 #婴儿肥 #甜妹 #大长腿 #骚话 #7/12 【硬件】身高165、体重100、罩杯C,头部颜色褐色,大小如绿豆、皮肤嫩滑紧致、下面颜色浅褐色,毛量较多,又紧又湿。 【软件】 鸳鸯浴,水中臀腿,亲咪咪,🐍吻,大蟒蛇,阴推,无套吹箫,深喉,69,甜批,爱爱。 【课费】 700p/50分钟 1200pp/80分钟#7/12 【验证】#已验证 验证报告 【综合评分】通过软件评分9分、硬件评分9分,综合评分9分。 【优惠】 【特别提示】优点: 颜值嫩妹,人照基本相符,身材高挑,细腰肥臀,腰部无赘肉,小腹平坦,胸大有C,乳头褐色,皮肤光滑细腻,手感Q弹,浅褐色小蝴蝶逼,毛多,…
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@Amy03999 骗定金下牌,注意别被骗
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【成都优选验证榜】 【花名】#白虎宝宝 【车牌】@BB520aaabb 【地址】#龙潭寺 【标签】#成华区 #嫩妹 #白虎 #身材车 #热情无比 #7p 【硬件】168、98、C,乳头粉嫩,白虎,紧度适中,有包裹感,水量偏多 【软件】 事后陪洗,简单口,戴套阴推,做 【课费】 700p/50分钟 1200pp/80分钟#7/12 【验证】#已验证 验证报告 【综合评分】7.5通过软件评分、硬件评分得出的综合评分 【优惠】 【特别提示】白虎嫩妹,三点粉嫩手臂有纹身,自述高中生在读,服务简单,老师过分自信且热情,做的过程本狼感受表演大于实际,适合i人或者新入狼友,对白虎属性有癖好的狼友也可以体验。 【优选群】 https://t.me/cdlspst 工兵报告每个人感受不一样,喜欢的地方也不一样,不可能与你所想的一致。如本人去发现与工兵所说不一致请在老师车库评论区指出,优胜劣汰,净化市场人人有责。
❤25👍15🔥7🎉6😁6
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【成都优选验证榜】 【花名】#然然 【车牌】@fm9585xf56 【地址】#红牌楼 【标签】#武侯区 #御姐 #抓龙筋 #28 #大胸 #按摩 【硬件】身高160、体重100、罩杯C+、皮肤正常色、 【软件】 抓龙筋 按摩 精油推背 三起三落 【课费】 798/90分钟 #4/6/8 【验证】#已验证 验证报告 【综合评分】9 【优惠】 无 【特别提示】老师很专业,态度特别好,环境也很好,胸很大,穿的情趣内衣,胸前一条很深的沟,有近距离贴身,抓龙筋的手法不错,满分满分 【优选群】 https://t.me/cdlspst 工兵报告每个人感受不一样,喜欢的地方也不一样,不可能与你所想的一致。如本人去发现与工兵所说不一致请在老师车库评论区指出,优胜劣汰,净化市场人人有责。
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【成都优选验证榜】 【花名】#小瑞 【车牌】@xiaorui333521 【地址】#天府二街 【标签】#高新区 #御姐 #胸大 #服务车 #敏感车 #6p #情绪车 【硬件】165 90斤左右,c罩杯,奶头粉嫩,皮肤好,下面紧水多 【软件】 课表里的服务都有,情绪价值拉满,还主动说去浴室对着镜子弄 【课费】 600p/50分钟 1000pp/80分钟 #6/10 【验证】#已验证 验证报告 【综合评分】8.8分 【优惠】 【特别提示】人照一致,身材比例好,服务拉满,乖巧可爱,喜欢御姐喜欢服务的完全可以无脑冲,开6性价比极高! 【优选群】 https://t.me/cdlspst 工兵报告每个人感受不一样,喜欢的地方也不一样,不可能与你所想的一致。如本人去发现与工兵所说不一致请在老师车库评论区指出,优胜劣汰,净化市场人人有责。
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【成都优选验证榜】 【花名】#清禾 【车牌】@yvoeuxsj 【地址】#中酿天府宸悦 【标签】#嫩妹车 #排骨车 #武侯区 #5p #代聊 【硬件】身高162体重85,胸b不大,下面毛毛正常,皮肤有点偏黄。下面颜色正常,有点紧,水多。戴眼镜。 【软件】 嫩妹三件套 【课费】 500p/50分钟 800pp/80分钟#5/8 【验证】#已验证 验证报告 【综合评分】通过软件评分、硬件评分得出的综合评分8分 【优惠】 【特别提示】老师刚下水,服务比较少,颜值身材还是可以,下面比较紧,水也多,价格便宜,性价比高。 【优选群】 https://t.me/cdlspst 工兵报告每个人感受不一样,喜欢的地方也不一样,不可能与你所想的一致。如本人去发现与工兵所说不一致请在老师车库评论区指出,优胜劣汰,净化市场人人有责。
🎉9❤8😁6👍4🔥3
【成都优选验证榜】 【花名】#夕瑶 【车牌】@Nxa520 【地址】#天府三街 【标签】#高新区 #服务车 #态度车 #23 #颜值车 #御姐车 #6p #代聊 【硬件】165、45kg、b罩杯、头部微粉,皮肤光滑,下面微黑,毛正常,深,松紧适中 【软件】 活泼,会找话题,服务好,ab面,大蟒蛇,69,口 【课费】 600p/50分钟 900pp/80分钟#6/9 【验证】#已验证 验证报告 【综合评分】8.5,服务车确实服务很好不催钟 【特别提示】服务车,进来就跟你大蟒蛇,身材一般不算坦克也不算排骨适中,人照8分相似,情绪价值给的很高,价格正常,适合想大蟒蛇,想舔小mm的去,小mm无异味,老师也不会催钟你想蛇好久老师都会跟你蛇,舔也是一样的。 【优选群】 https://t.me/cdlspst
❤13👍12🎉8😁6🔥3
Showing the 12 most recent of 78 posts we hold for @cdline1youxuan. 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.
@cdline1youxuan edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 12 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.
@cdline1youxuan named 4 handles 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“成都修车优选榜单(楼凤精选)” (@cdline1youxuan), 35,857 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/cdline1youxuan.
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.