༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻♀️ 老师: #江云溪 🔗 车牌:@yina900 💰 价格: #6/9 📍 地址: #天府二街 🏷️ 标签: #武侯区 #服务车 #少妇车 #代聊 #6P #包夜 #上门 🧾工兵锐评:人照8分,和照片有差距,但本人颜值可以,皮肤白皙有一点花纹,,身高165。身材高挑不胖不瘦,菜单上的服务都有。配合度高,热情不冷场,爱爱有感觉,喜欢服务车的可以冲 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebui

Channel
༺ཌༀ成都修车俱乐部•车库ༀད༻
@CD_julebu1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
54,566subscribers
+21,558 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 | -1001951353503 |
|---|---|
| Type | Channel |
| Username | @CD_julebu1 |
| Description | ༺ཌༀ修车俱乐部ༀད༻ @CD_julebu ༺ཌༀ报告频道ༀད༻ t.me/Jlbbg |
| Created | Between 1 April 2023 and 31 October 2023 — 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/CD_julebu1 |
Topic
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 55% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 22:59 | 54,566 | +1,903 |
| 19 Sept 2026, 05:37 | 52,663 | +516 |
| 16 Sept 2026, 18:58 | 52,147 | +597 |
| 14 Sept 2026, 18:38 | 51,550 | +483 |
| 13 Sept 2026, 07:01 | 51,067 | +549 |
| 11 Sept 2026, 12:01 | 50,518 | +1,286 |
| 8 Sept 2026, 18:59 | 49,232 | +1,816 |
| 5 Sept 2026, 09:58 | 47,416 | +861 |
| 3 Sept 2026, 14:59 | 46,555 | +603 |
| 2 Sept 2026, 05:13 | 45,952 | +478 |
| 1 Sept 2026, 07:15 | 45,474 | +365 |
| 31 Aug 2026, 06:13 | 45,109 | +412 |
| 30 Aug 2026, 08:27 | 44,697 | +327 |
| 29 Aug 2026, 10:47 | 44,370 | +564 |
| 28 Aug 2026, 07:25 | 43,806 | +400 |
| 27 Aug 2026, 05:04 | 43,406 | +454 |
| 26 Aug 2026, 06:33 | 42,952 | +427 |
| 25 Aug 2026, 04:35 | 42,525 | +461 |
| 24 Aug 2026, 04:35 | 42,064 | +667 |
| 22 Aug 2026, 12:33 | 41,397 | first reading |
Engagement
199 posts held, back to 6 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 112 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.78%
- avg views ÷ 54,566 subscribers
- Avg views / post
- 969
- 104 posts measured
- Reaction rate
- 0.063%
- reactions ÷ views · ER floor
- Posts in window
- 104
- of 199 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 1 of 104 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 199 (6 August 2026 – 29 September 2026) |
| Views total | 100,783 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 07:00 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
- ≈4,440
- Videos
- ≈335
- Links
- ≈964
Lifetime counters from Telegram’s own channel header, read 29 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.
- Video runtime
- 7m 40s
- Average length
- 11s
Measured directly from 43 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
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🍾 | 1 | 50.0% | |
| 🏆 | 1 | 50.0% |
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 3 of the 199 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 199 most recent posts we hold, published 6 August 2026 to 29 September 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
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% ༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻♀️ 老师: #娃娃鱼 🔗 车牌: @shiwawayuya 💰 价格: #6/9 📍 地址: #世纪城 🏷️ 标签: #武侯区 #御姐车 #大奶 #态度车 #上门 #兼职 #自聊 #6P 🧾工兵锐评:颜值相似度9,颜值挺好,年龄看着23岁左右,御姐类型,身高165,体重110左右,奶子C,小褐色,手感好。身材不错,大长腿,皮肤光滑。小穴内粉,水湿润,里面很紧,日感很好。能聊天会调情,口活好。接受度高,可带玩具 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu
在岗亲自安排接待 非中介人员 驻场销售 全是00后妹子 小杨娱乐🈺 资源丰富 每天到岗180+ #商务ktv #成都摸摸唱 #成都商k #成都商务 #衬衣秀 #海选 #游戏场 #衬衣场 #成都大尺度 ------------------------------- 🈺24小时在线🕓 小杨电报:@CDYL000 小杨微信:17711561185 双向 @CDKTV666bot (发私信限制🚫可直接通过这个机器人沟通,也是小杨) 关注频道打骨折 https://t.me/CDYL003 ⏰ 营业时间:20:00—06:00
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% 🙋🏻♀️ 老师: #李师师 🔗 车牌:@lishishi01 💃🏻 年龄:21 👙 罩杯: B杯 💰 价格: #7/12 📍 地址:#武侯区 #天府三街 🏷️ 标签:#御姐车 #态度车 #7p #颜值车 #身材车 #自聊 #包时 🧾工兵锐评:颜值御姐,态度好情绪价值高,身材匀称,胸B挺拔手感好,水多较紧爱爱配合 🔖给 李师师 写车评报告
༺ཌༀ成都俱乐部•赞助商ༀད༻ 👉👉👉👉👉👉👉👉 🔥外围联系阿米 @gemia 选妃频道 @cdmigeww 🔥会所海选联系鬼少 @GS_00000 会所海选 @GS_SJK 🔥商K联系小杨 @CDYL000 折扣频道 @CDYL003 🔥会所联系 @Caihua8880000 频道 @Caihua888000 🔥抓龙筋 @mlzlj3344 保养热线 @mlzlj3344 🔥安沁全套 半套工作室 @anqin77 约课频道 @anqin398 以上皆是和俱乐部保持长期合作的赞助,口碑、售后有保障,值得信赖!🥰🥰🥰 ——— ❤️ 俱乐部大群 @CD_julebu ❤️ 验证车库 @CD_julebu1 🐾 报告频道 @Jlbbg
成都半套 全套工作室 主打性价比 酒店式公寓,私密 靠谱 无套路 无隐藏消费 多年老场子 值得信赖 欢迎各位大佬们 #半套 #全套 #工作室 预约号 @anqin77 频道:https://t.me/anqin398
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% ༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻♀️老师: #晓君 🔗 车牌:@cdxjun 💰 价格: #5/8 📍 地址:#东郊记忆 🏷️ 标签: #代聊 #成华区 #服务车 #态度车 #5p #白虎 #上门 #洋马 #泰妹 🧾工兵锐评:人照相似度8成,年龄28左右,正经泰妹 ,有点肚子,可全英文沟通,服务态度很好,胸大概有c,进门大胸就呼之欲出,老师身穿黑色性感内衣,屁股一撅那个大屁股就想狠狠的操进去,老师是少妇类型,洗着澡的时候就开始舔胸,特么的鸡巴直接翘起来,洗完澡帮忙擦身体。然后躺下开始给我服务。背面开始胸推。老师的骚B骑在我的背上,感觉太舒服了。来到正面开始舔我的大鸡巴。口活出众。随后开始做爱,狠狠的操了老师十几分钟,把老师叫爽了,两个大灯在我面前晃来晃去,真特么带劲。几个姿势老师都很配合,最后狠狠射入,这个价位泰妹的价格…
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% ༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻♀️ 老师: #小锦儿 🔗 车牌:@xjer123 💰 价格: #7/12 📍 地址: #李家沱 🏷️ 标签: #成华区 #御姐车 #代聊 #7P #上门 #bbw 🧾工兵锐评:人照8分,一张相似,网图居多,但颜值还是可以,皮肤白皙多处花纹,身高161。实际1米五几,体型微胖,肚子有赘肉,有洁癖,菜单的舌吻也是蜻蜓点水。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu
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_5720641613
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% ༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻♀️ 老师: #贝贝 🔗 车牌:@dmbb520 💰 价格: #4/6 📍 地址:#东郊记忆 🏷 标签:#成华区 #少妇车 #代聊 #服务车 #4P #态度车 🧾工兵锐评:人照相似度7.5分,年龄30左右,态度很好,会所服务,标准流程,身高162,体重100,无纹身,罩杯D,皮肤黄白皮肤,户型包子批,毛量不多,比较紧润。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% ༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻♀️ 老师: #馨儿 🔗 车牌:@xiner66778 💰 价格: #6/10 📍 地址:#昭觉寺 🏷️ 标签:#成华区 #嫩妹车 #代聊 #6P #态度车 🧾工兵锐评:妹妹人照9分,基本无差,年龄18岁,身高160,体重86,态度热情很健谈不冷场,身材纤细,颜值可爱甜美,胸A+但是手感不错饱满,皮肤偏白,户型小蝴蝶很好看,比较粉嫩,毛量较少,喜欢嫩妹的可以冲。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% ༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻♀️ 老师: #西西 🔗 车牌:@CD_xixi 💰 价格: #3/6 📍 地址: #环球汇蔚然 🏷️ 标签: #锦江区 #泄火车 #自聊 #3P #态度车 🧾工兵锐评:人照8分,28岁,皮肤麦白色,态度很好很听话,身高163。体型微胖,能🐍能深喉能扣,爱爱也是很配合。开3可以无脑冲 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu
Showing the 12 most recent of 199 posts we hold for @CD_julebu1. 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.
Posts edited after publishing
@CD_julebu1 edited 2 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.
- First edit seen
- 1 September 2026
- Most recent edit
- 7 September 2026
Forward network
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.
Mentions
Named by 11 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.
@Jlbbg · 4,95513 posts蓝思的英雄团
@lansi5200 · 1,6492 postsLotteryBest抽奖导航
@lotterynav · 174,1782 posts甜九🍺小窝
@yumi987345 · 5672 posts静静的爱心频道
@cdjingjing1 · 1761 post猫猫圈
@limao13140 · 1,2721 post微微频道
@mmpd168 · 591 post嫩妹星探报告库
@nmxtbaogao · 261 post✨小天涯·日记✨
@xtyrj · 5,5481 post云舒😍朋友圈
@yunsutts · 2591 post泡面研究所
@zxsghhjn · 4131 post
Names
Channels on the register whose handles appear in this channel's posts.
@CD_julebu · 51,119173 posts保安
@abaoan_bot · 98,657156 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,814,56115 postsLotteryBest抽奖导航
@lotterynav · 174,1788 posts✨小天涯·日记✨
@xtyrj · 5,5487 posts神秘的出击流水账纪实
@ClubCarousel · 1,8805 posts成都半套/全套安沁工作室
@anqin398 · 1,5263 posts全国包养萝莉/处女/学妹(广告频道)
@APA68888 · 23 posts成都老派全城会所
@Caihua888000 · 2,4653 posts成都重庆商K 真空场游戏场 摸摸唱 换装场
@CDYL003 · 3,5523 posts橘子🍊的朋友圈
@APA688888 · 892 posts成都外围精选 阿米在线
@cdmigeww · 10,2152 posts成都柒月女女女女仆mmk私影体验馆
@cdnnnnpmmk · 3,6402 posts=͟͟͞♡成都修车会所[海选☻半套全套]
@GS_SJK · 32,0642 posts成都茉莉抓龙筋
@mlzlj3344 · 1,9282 posts成都楼凤修车•言师日记
@ysrjbf · 10,9222 posts成都电报群
@CDDBQ_028 · 16,8061 post成都柒月女女女女仆MMK私影恋爱馆
@CDQYMMK · 9,6291 post成都商K 真空游戏 换装场
@CDYL008 · 1001 post🌺莞式天花板🌹潮喷天后💦🌹SM调教师🌺
@cpth881 · 9,9531 post༺ཌༀ成都修车俱乐部·报告ༀད༻
@Jlbbg · 4,9551 post蓝思的英雄团
@lansi5200 · 1,6491 post猫猫圈
@limao13140 · 1,2721 postLotteryBest Bot
@LotteryBestBot · 99,1831 post
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@CD_julebu1 named 2 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.
Evidenced gone
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.
named in 2 posts, 15 August 2026 – 18 August 2026 · confirmed gone 13 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 11 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“༺ཌༀ成都修车俱乐部•车库ༀད༻” (@CD_julebu1), 54,566 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/CD_julebu1.
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.