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Channel

༺ཌༀ成都修车俱乐部•车库ༀད༻

@CD_julebu1

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

47,416subscribers

+14,408 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
TypeChannel
Username@CD_julebu1
Description༺ཌༀ修车俱乐部ༀད༻ @CD_julebu ༺ཌༀ报告频道ༀད༻ t.me/Jlbbg
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/CD_julebu1

Growth

33,00847,41640,2126 August 2026 — 33,008 subscribers6 August 2026 — 33,008 subscribers7 August 2026 — 33,638 subscribers8 August 2026 — 34,086 subscribers9 August 2026 — 34,683 subscribers10 August 2026 — 35,125 subscribers11 August 2026 — 35,542 subscribers12 August 2026 — 35,947 subscribers13 August 2026 — 36,403 subscribers14 August 2026 — 37,370 subscribers16 August 2026 — 38,318 subscribers17 August 2026 — 38,982 subscribers18 August 2026 — 39,516 subscribers19 August 2026 — 39,843 subscribers20 August 2026 — 40,392 subscribers22 August 2026 — 41,397 subscribers24 August 2026 — 42,064 subscribers25 August 2026 — 42,525 subscribers26 August 2026 — 42,952 subscribers27 August 2026 — 43,406 subscribers28 August 2026 — 43,806 subscribers29 August 2026 — 44,370 subscribers30 August 2026 — 44,697 subscribers31 August 2026 — 45,109 subscribers1 September 2026 — 45,474 subscribers2 September 2026 — 45,952 subscribers3 September 2026 — 46,555 subscribers5 September 2026 — 47,416 subscribers6 August 20265 September 2026
28 measurements spanning 30 days, net +14,408. 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 30,847–49,577 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
5 Sept 2026, 09:5847,416+861
3 Sept 2026, 14:5946,555+603
2 Sept 2026, 05:1345,952+478
1 Sept 2026, 07:1545,474+365
31 Aug 2026, 06:1345,109+412
30 Aug 2026, 08:2744,697+327
29 Aug 2026, 10:4744,370+564
28 Aug 2026, 07:2543,806+400
27 Aug 2026, 05:0443,406+454
26 Aug 2026, 06:3342,952+427
25 Aug 2026, 04:3542,525+461
24 Aug 2026, 04:3542,064+667
22 Aug 2026, 12:3341,397+1,005
20 Aug 2026, 23:4240,392+549
19 Aug 2026, 23:1239,843+327
18 Aug 2026, 22:5739,516+534
17 Aug 2026, 19:4738,982+664
16 Aug 2026, 16:0338,318+948
14 Aug 2026, 21:1537,370+967
13 Aug 2026, 15:3636,403first reading

Engagement

114 posts held, back to 6 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 64 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.72%
avg views ÷ 47,416 subscribers
Avg views / post
814
108 posts measured
Reaction rate
0.055%
reactions ÷ views · ER floor
Posts in window
108
of 114 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 3 of 108 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 September 2026
Posts held114 (6 August 20265 September 2026)
Views total87,888
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Sept 2026, 21:32 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
4,090
Videos
317
Links
886

Lifetime counters from Telegram’s own channel header, read 5 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
5m 11s
Average length
11s

Measured directly from 28 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🍾150.0%
🏆150.0%

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 114 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 114 most recent posts we hold, published 6 August 2026 to 5 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

5 Sept 2026, 15:53 UTC155 viewsread 5 September 2026
Photo

༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻‍♀️ 老师: #茜茜 🔗 车牌: @qianqan1 💰 价格: #7/12 📍 地址: #武侯区 #晋阳大道 🏷️ 标签:#嫩妹车 #女大 #态度车 #感觉车 #cos #自聊 #7P 🧾工兵锐评:硬件:年龄20岁,女大,身高162,体重100左右,身材正常不错。皮肤光滑,奶子B,乳头小,小褐,手感很好,又肩胛骨有纹身。小穴小,小蝴蝶,毛少,很紧,小穴浅,敏感,易高潮。软件:服务三件套,大蟒蛇,制服,cos爱好者,情绪价值高,爱爱主动易高潮,女友感强,适合喜欢颜值车,cos的兄弟去打卡 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

5 Sept 2026, 15:53 UTC143 viewsread 5 September 2026
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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

5 Sept 2026, 11:41 UTC276 viewsread 5 September 2026
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📊 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: #温婉 🔗 车牌:@kkk777712 💰 价格: #5/9 📍 地址:#东郊记忆 🏷️ 标签: #成华区 #代聊 #5p #御姐车 #服务车 #态度车 #大胸 🧾工兵锐评:人照相似度8.5成,年龄25左右,态度很好,进门就是黑纱连衣裙白色小内裤,两个大奶子若隐若现,性欲直接起飞。洗完澡帮忙擦身体,躺着开始做服务,全裸胸推,爽的一批。来到正面一口含着我的大屌,老师夸我鸡巴粗,口了很久,完全无齿感,口活出众,如同漩涡一般将我龟头差点吸进去。开始做爱,传教士开场,老师微有点小肚子,但是更增添几分性趣,换了老汉推车,观音坐莲等几个姿势,老师都很配合,最后快乐出货。这个价位属于性价比极高,综合来个9.5分。 聊天大群 @CD_julebu

5 Sept 2026, 07:36 UTC416 viewsread 5 September 2026
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📊 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: #墨墨 🔗 车牌:@momo580580 💰 价格: #7/12 📍 地址:#高升桥 🏷️ 标签:#武侯区 #御姐车 #代聊 #7P #白虎 #态度车 🧾工兵锐评:人照相似度8,年龄24,态度8,服务8,身材8,颜值8.5,罩杯b+,皮肤7.5,户型:人工白虎 外面黑 但是里面粉红很嫩 户型认不全, 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

3 Sept 2026, 14:09 UTC957 viewsread 5 September 2026
Photo

📊 2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: #梓婷 🔗 车牌:@ziting999 💰 价格: #6/10无限火力 📍 地址:#市中心 🏷️ 标签:#锦江区 #御姐车 #代聊 #6P #无限火力 #三件套 #态度车 #身材车 🧾工兵锐评:人照相似度8.5分,年龄24左右,态度好热情,刚下水服务不多但是肯学习听哥哥话。身材匀称屁股比较突出后入视角极佳,颜值高,照片属于艺术照,但真人也很耐看。罩杯C,皮肤嫩白无科技,户型蝴蝶穴,肉瓣像大蝴蝶翅膀,翅膀灰色扒开就是粉白肉肉,穴紧包裹感好 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

3 Sept 2026, 04:26 UTC≈1,600 views1 reactionsread 5 September 2026
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📊 2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: #茜茜 🔗 车牌:@qianqian13140 💰 价格: #5/9 📍 地址:#中坝 🏷️ 标签:#青羊区 #中坝 #嫩妹车 #自聊 #5P #bbw #sm #上门 #包夜 🧾工兵锐评:没露脸不存在人照相似度,年龄19,态度一般,服务一般,身材比微胖胖点,颜值一般,罩杯c左右,皮肤细腻偏小麦色,户型属于一线天颜色粉 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

🍾1

3 Sept 2026, 02:37 UTC≈1,500 viewsread 4 September 2026
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📊 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: #涵涵 🔗 车牌:@hanhan663 💰 价格: #6/10 📍 地址: #双流区 #乐福城市广场 🏷️ 标签: #嫩妹车 #感觉车 #大🐻 #身材车 #大蟒🐍 #符文 #代聊 #双流区 #6P 🧾工兵锐评:人照相似度8分,本人更好看,有新疆风情,有符文,年龄18,态度很好,嫩妹常规服务➕水中萧➕跪式深喉口,身材前凸后翘苗条型,颜值中上,罩杯C+很白很挺,皮肤偏白,特别是🐻部很白,户型🦋粉嫩,69无异味。全程态度好,情绪价值高。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

2 Sept 2026, 16:11 UTC368 viewsread 3 September 2026
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📊 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: #可乐 🔗 车牌:@kelezhk 💰 价格: #5/8 📍 地址: #高新区 #天府三街 🏷️ 标签: #御姐车 #自聊 #5P #服务车 #蛇精脸 #美胸 #美臀 #情绪价值 #性感 🧾工兵锐评:可乐是美艳型御姐服务控,人照相似度9分,颜值中上,年龄26岁左右,身高163左右,体重95斤左右,身材匀称性感,天然c凶圆润饱满挺拔,乳头乳晕不大,颜色浅褐色,屁股有肉弹性十足,皮肤滑,肤色正常偏白,小蝴蝶户型,毛量正常,紧度适中,水多,爱说爱笑,陪洗认真细致,浴室就有舔凶,水萧,床上服务花样多时间长力道足,舔凶舔蛋,69,dl,胸推,深喉,菜单上的都有,眼神挑逗到位,爱爱姿势配合,女上时间长频率快,叫声销魂,会夹,不催不闹,懂男人,会配合输出。适合御姐控,颜控,服务控,感觉控

2 Sept 2026, 05:50 UTC575 viewsread 3 September 2026
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📊 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: #暖暖 🔗 车牌:@nuannuanzhk 💰 价格: #5/8 📍 地址: #天府二街 🏷️ 标签:#武侯区 #少妇车 #自聊 #5P 🧾工兵锐评:人照相似度7.5,年龄30,态度热情,服务洗吹做艳舞,身挺瘦的,颜值路人,罩杯c,皮肤不紧致有点松,户型蝴蝶 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

1 Sept 2026, 07:03 UTC668 viewsread 2 September 2026
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📊 3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: #畅歌 🔗 车牌:@azi333999 💰 价格: #6/10【报告-1】 📍 地址:#天府三街 🏷️ 标签:#武侯区 #少妇车 #服务车 #代聊 #5P #毒龙 #过水 #蛇纹 #包时 #包天 🧾工兵锐评:人照7.5,年龄28+,微胖 体重60kg,身高162,胸大D大屁股,有一点小肚子,下面蝴蝶型褐色,毛微多,但是服务特别多,水中萧.过水.按摩.舌头特别灵活,吸皮.毒龙,深喉等,服务一点不敷衍,唯一缺点身材稍微有点走样,体验服务车的可以来。服务没得说不错 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

1 Sept 2026, 06:43 UTC570 viewsread 2 September 2026
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📊 2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: #夕瑶 🔗 车牌:@Nxa520 💰 价格: #6/9 📍 地址:#天府三街 🏷 标签:#武侯区 #高新区 #御姐车 #天府三街 #态度车 #代聊 #6P #深喉 #舌吻 #感觉车 #蝴蝶逼 #69 #蛇精 🧾工兵锐评: 硬件:妹妹24岁,身高160,体重48kg,人比照片漂亮太多,也很年轻,身材娇小匀称,正常肤色,手感非常滑,少许文身,穿性感吊带,奶子b,乳头花生米大小,舔起来很敏感,下面蝴蝶户型,毛量适中,颜色微褐色,水多润滑有包裹感,可以一插到底,日感非常棒。 总结:妹妹身材娇小,服务尺度比较奔放,态度更是无可挑剔,深喉可以按头是个特色,舌吻调情配合流畅,日感湿滑可以一插到底,开6合适值得体验。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_juleb

31 Aug 2026, 11:26 UTC≈1,540 viewsread 2 September 2026
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📊 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: #喵喵喵 🔗 车牌:@Miaomiaomiao02 💰 价格: #6/12 📍 地址:#中坝 🏷️ 标签:#青羊区 #嫩妹车 #自聊 #69 #颜值车 #舌吻 #女友感 #态度车 #包时 #包夜 #上门 🧾工兵锐评:05年的嫩妹,纯自聊老师,165cm106斤,人照颜值综合8.8分,B胸,水乳略微下挂,有在其他城市开过。微胖身材,态度非常赞,配合得很,服务有舌吻,边舌边做,69舔批,口活,爱爱放的开,带了亮肤黑丝穿上,正合身,那个大腿刚好勒出一点线条,肉感刚好,下面没有异味,可以炫半天,女上姿势主动,后入太几把紧了,日起会放开叫,还会调情对耳朵呼热气,服务质量高,地点在西门中坝。 💃🏻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 114 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 1 post 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
1 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.

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 5 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), 47,416 subscribers as measured 5 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.