Telegram RegisterThe public register of Telegram
Telegram profile photo for ༺ཌༀ成都修车俱乐部•车库ༀད༻

Channel

༺ཌༀ成都修车俱乐部•车库ༀད༻

@CD_julebu1

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

73,213subscribers

+40,205 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 live13 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 43 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@CD_julebu1/5580 · this entry24 Aug 2026, 02:54 UTC@lotterybestnav/555124 Aug 2026, 08:44 UTC1.005.8 hours
@lotterybestnav/564410 Sept 2026, 10:59 UTC@CD_julebu1/5956 · this entry10 Sept 2026, 15:32 UTC1.004.5 hours
@lotterybestnav/565612 Sept 2026, 05:47 UTC@CD_julebu1/6001 · this entry12 Sept 2026, 05:53 UTC1.005 minutes
@CD_julebu1/6348 · this entry1 Oct 2026, 16:08 UTC@lotterybestnav/57922 Oct 2026, 15:42 UTC1.0024 hours
@CD_julebu1/6468 · this entry8 Oct 2026, 08:30 UTC@lotterybestnav/58338 Oct 2026, 08:48 UTC1.0018 minutes
@CD_julebu1/6566 · this entry12 Oct 2026, 14:57 UTC@lotterybestnav/586013 Oct 2026, 05:41 UTC1.0015 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@lotterybestnav15 (8/8 hand-verifiable sample passed)1.004.5 hoursthis entry (11–4)
@lotterynav14 (8/8 hand-verifiable sample passed)1.00under a minuteeven
@xtyrj12 (8/8 hand-verifiable sample passed)1.0072 seconds@xtyrj (8–4)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 357 comparable posts for this entry, running 6 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 43 channels, the one whose matching posts we hold earliest is @sycjdsjb. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 43 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

LotteryBest抽奖导航
@lotterynav · Channel
196,230 subscribers
LotteryBest精选推荐
@lotterybestnav · Channel
171,031 subscribers
深圳三和修车大队-【嫩妹御姐资源】
@SZ_3hdsbd · Channel
64,069 subscribers
长春烟雨楼修车认证榜
@changchuncj8 · Channel
60,829 subscribers
深圳修车军团【验证榜单】
@shenzhen_xcjt · Channel
60,651 subscribers
沈阳修车出击队《出击榜》
@sycjdrzbby1 · Channel
54,243 subscribers
杭师大公开榜
@ffffghjjjjhg · Channel
52,361 subscribers
深圳嫩妹修车团【榜单】
@sz_papapa777 · Channel
49,296 subscribers
深圳三和修车大队-【选妃榜单】
@SZ_shcjzl · Channel
34,434 subscribers
深圳嫩妹茶探府【修车榜单】
@SZ_nmctf9 · Channel
28,757 subscribers
北京【海奥华】反馈频道
@hahbeijing5 · Channel
28,750 subscribers
沈阳出击队spa洗浴抓龙筋
@sycjdsjb · Channel
26,321 subscribers
嫩妹社资源总榜
@shdjuygbb · Channel
26,113 subscribers
大连修车风月楼《认证榜》
@qgdl1 · Channel
25,264 subscribers
深圳修车出击大队【榜单】
@SZxiuchechuji_zy · Channel
22,896 subscribers
嫩妹社报告榜
@hzjzddbgb · Channel
20,865 subscribers
深圳修车社区资源榜
@guangdong95277 · Channel
19,406 subscribers
辽宁沈阳周边新闻资源
@syxwgbcg · Channel
15,048 subscribers
野寻 · 深圳活动公告
@chasesz_hdgg · Channel
13,765 subscribers
深圳三和修车大队-【优惠券频道】
@SZ3hdsyhj · Channel
13,660 subscribers
野寻·北京精选榜单
@chasebj_jxbd · Channel
12,879 subscribers
野寻·上海修车档案
@chasesh_lsda · Channel
12,808 subscribers
深圳修车出击大队【报告】
@SZxiuchechuji_bg · Channel
12,195 subscribers
野寻·北京作业评价
@chasebj_zypj · Channel
11,763 subscribers
成都七仙女· 防掉队
@sichuanchengdu398 · Channel
11,186 subscribers
野寻·北京活动公告
@chasebj_hdgg · Channel
10,910 subscribers
深圳野狼修车公开榜
@SZLXF · Channel
10,876 subscribers
深圳嫩妹茶探府【出击报告】
@SZ_nmctf7 · Channel
10,189 subscribers
广州佛山《红袖招》公开榜
@FsxcXh0 · Channel
10,113 subscribers
野寻·上海活动公告
@chasesh_hdgg · Channel
8,872 subscribers
深圳三和修车大队【宝安区】
@Sz3hdsban · Channel
8,810 subscribers
深圳修车军团【修车报告】
@shenzhen_xcbg · Channel
7,330 subscribers
✨小天涯·日记✨
@xtyrj · Channel
7,120 subscribers
深圳三和修车大队【福田区】
@Sz3hdsft · Channel
6,933 subscribers
深圳嫩妹修车团【报告】
@sz_papapa666 · Channel
6,885 subscribers
深圳三和修车大队【龙岗区】
@Sz3hdslg · Channel
6,132 subscribers
深圳三和修车大队【南山区】
@Sz3hdsnsq · Channel
6,044 subscribers
野狼抽奖活动
@cjyhhd · Channel
3,113 subscribers
广州佛山《红袖招》报告榜
@fsxcbg0 · Channel
2,984 subscribers
广州佛山《红袖招》抽奖
@Fsxc6 · Channel
2,118 subscribers
深圳修车出击大队【备用榜】
@szxiuchechuji_bd · Channel
1,540 subscribers
深圳嫩妹修车团【嫩妹榜单】
@shenzehn818 · Channel
351 subscribers

Growth

33,00873,21353,110.56 August 202613 November 2026
66 measurements spanning 98 days, net +40,205. 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 26,977–79,244 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
13 Nov 2026, 03:1673,213+632
10 Nov 2026, 19:4172,581+708
9 Nov 2026, 06:4971,873+203
7 Nov 2026, 23:5671,670+184
6 Nov 2026, 22:0871,486+285
5 Nov 2026, 20:4671,201+637
4 Nov 2026, 17:4070,564+467
3 Nov 2026, 16:2470,097+385
2 Nov 2026, 18:4569,712+520
1 Nov 2026, 15:4669,192+298
31 Oct 2026, 19:0968,894+350
30 Oct 2026, 20:5968,544+437
29 Oct 2026, 22:4968,107+434
28 Oct 2026, 23:1567,673+690
27 Oct 2026, 20:0666,983+953
26 Oct 2026, 17:0966,030+280
25 Oct 2026, 15:2065,750+434
24 Oct 2026, 16:3565,316+358
23 Oct 2026, 16:4764,958+467
22 Oct 2026, 15:2864,491first reading

Engagement

391 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 206 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.43%
avg views ÷ 73,213 subscribers
Avg views / post
1,780
130 posts measured
Reaction rate
0.097%
reactions ÷ views · ER floor
Posts in window
130
of 391 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 18 of 130 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 13 November 2026
Posts held391 (6 August 2026 – 13 November 2026)
Views total231,722
Reactions total38
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 06:50 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
≈5,080
Videos
≈406
Links
≈1,130

Lifetime counters from Telegram’s own channel header, read 13 November 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
16m 22s
Average length
9s

Measured directly from 106 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

43 reactions across 23 posts, in 6 distinct kinds. The most used accounts for 48.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2148.8%
🔥1023.3%
❤‍🔥716.3%
😍36.98%
🍾12.33%
🏆12.33%

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 24 of the 391 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 391 most recent posts we hold, published 6 August 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 5 of 130 posts held from the last 30 days (3.85%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 05:24 UTC138 viewsread 13 November 2026
Photo

༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻‍♀️ 老师: #柠檬 🔗 车牌:@nm12345bb 💰 价格: #6/10 📍 地址:#天府二街 🏷️ 标签:#武侯区 #御姐车 #服务车 #自聊 #6P #态度车 #大蟒蛇 #毒龙 #制服 #丝袜 🧾工兵锐评:人照相似度9分,能进去一眼认出来 ,年龄27左右,态度很好,服务配洗 ab面 毒龙 69 制服 丝袜 女上位 舌吻 菜单有的都有,身材跟照片没差距,还有马甲线颜值9分罩杯c左右皮肤嫩滑,人工白虎,水多 比较紧 会夹 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

13 Nov 2026, 05:05 UTC116 viewsread 13 November 2026
Photo

📊 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: #莫妮卡 🔗 车牌:@monikax1 💰 价格: #6/9 📍 地址:#天府二街 🏷 标签:#武侯区 #御姐车 #少妇车 #代聊 #6P #服务车 #态度车 🧾工兵锐评:人照相似度85,年龄28,态度温柔,服务专业,非常细致耐心,身材虽然瘦但是有胸,颜值典型江南面容,罩杯B,皮肤水嫩,户型紧致饱满温润水润。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

13 Nov 2026, 03:32 UTC175 viewsread 13 November 2026
Photo

📊 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: #陈雨茉 🔗 车牌:@chenyumo001 💰 价格: #6/10 📍 地址:#天府三街 🏷️ 标签:#武侯区 #嫩妹车 #自聊 #6P #大长腿 #大蟒蛇 🧾工兵锐评:人照8.8分除开美颜几乎一模一样,年龄大概18,身高165左右体重不到90,皮肤状态不错很光滑,胸大概B左右,捏着手感很棒,户型正常,淡粉色,毛量比较少,水多紧度很不错比较敏感,服务认真可舌吻,态度不错全程没有冷场,性价比不错的甜妹 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

12 Nov 2026, 10:26 UTC547 viewsread 13 November 2026
Photo

༺ཌༀ成都俱乐部•认证老师ༀད༻ 🙋🏻‍♀️ 老师: #舒言 🔗 车牌:@shuyany1 💰 价格: #7/12 📍 地址:#成华区 #驷马桥 🏷️ 标签:#嫩妹车 #代聊 #7P 🧾工兵锐评:人照相似度8.8,年龄18,妹妹颜值乖巧,身材匀称属于丰满型,皮肤白身上有几处小纹身,态度情绪价值一般,胸B粉色手感柔软,小穴粉阴唇厚包裹感强,毛量正常水多很紧爱爱反馈自然,偏自助而且没有舌吻 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

12 Nov 2026, 06:42 UTC≈1,650 viewsread 12 November 2026
Forwarded from @xtyrjPhoto

🎰 印度大药房 & 俱乐部 给大家送福利啦 📮 参与条件: 🎫 加入-印度双效助勃延时平价药房 🎫 加入-印度🇮🇳双效伟哥平价药房 └ 🔑 发送口令﹝春药实测视频﹞ 🎫 加入-✨小天涯·日记✨ 🎫 加入-༺ཌༀ成都修车俱乐部ༀད༻ └ 🔑 发送口令﹝药商全国包邮﹞ ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 双效片(盒) × 3 💰️ 口令红包🧧100 × 5 💰️ 样品(两粒) × 10 ⚠️ 抽奖说明: ✨俱乐部白嫖口令不间断✨ 1.口令红包兑换有效期为开奖后48小时内,逾期作废! 2.本次优惠券不可折现,优惠券兑奖有效期为开奖后7天内,逾期作废! 3.因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! 4.中途退群退频道,乱水群都会取消中奖资格! ❗️❗️药商全国包邮,皆可参与 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月17日 19时

12 Nov 2026, 05:46 UTC≈2,140 viewsread 12 November 2026
Photo

📊 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: #澜沐湾水疗 🔗 车牌:@cxqaz18 💰 价格: #288/388 📍 地址:#蜀汉路 🏷️ 标签:#金牛区 #泡澡 #泡泡浴 #92 #半套 #海选 #海选 #按摩 #搓澡 #无限火力 🧾工兵锐评:水疗92spa到店海选,套餐自选,有问题随时沟通客服或者群管理,包您满意 ⭐俱乐部优质合作伙伴,原价出击报群名+1300分 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

12 Nov 2026, 05:07 UTC≈2,120 viewsread 12 November 2026
Photo

📊 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: #林霜 🔗 车牌:@yaya520120 💰 价格: #5/8 📍 地址:#大源 🏷️ 标签:#成华区 #少妇车 #自聊 #御姐车 #服务车 #5P #包时 #包夜 #上门 #态度车 🧾工兵锐评:妹妹人照8.8分,年龄二十五岁,四川人,身高165,体重100斤样子,胸38c,肤色正常肤色,下面户型为蝴蝶型,服务有口,深喉,胸推,过水,毒🐉,舔咪咪,69,舌吻,ab面都有,服务到位,态度好,口活不错,日起来下面又紧水有多,会吸会夹,反馈真实,事后陪洗,聊天有情绪价值 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

12 Nov 2026, 02:52 UTC≈2,170 viewsread 12 November 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: #甜生生 🔗 车牌:@YZS1245 💰 价格: #6/9 📍 地址:#天府二街 🏷 标签: #武侯区 #御姐车 #态度车 #服务车 #6p #身材车 🧾工兵锐评:人照相似度8.8,年龄26 7左右,态度很好,很贴心,服务课表上有的都会做,很仔细,不水时长,认认真真的,身材完美没有小肚子,颜值中等偏上,罩杯B,皮肤光滑,户型较紧无异味,水多,日感真实,反馈强。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

11 Nov 2026, 13:12 UTC≈3,900 viewsread 12 November 2026
Photo

🎰 澡王 & 俱乐部 给大家发福利啦 📮 参与条件: 🎫 加入-成都澜沐湾解压水疗小屋(泡泡浴)✈️ └ 🔑 发送口令﹝澡王最棒﹞ 🎫 加入-成都澜沐湾水疗(泡泡浴)澡王👍 🎫 加入-༺ཌༀ成都修车俱乐部•车库ༀད༻ 🎫 加入-༺ཌༀ成都修车俱乐部ༀད༻ └ 🔑 发送口令﹝最喜欢泡澡了﹞ ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 俱乐部666积分 × 3 💰️ 口令红包🧧28.88 × 4 💰️ 口令红包🧧50 × 2 💰️ 口令红包🧧88 × 1 💰️ 通用100元代金券 × 10 ⚠️ 抽奖说明: ✨俱乐部白嫖口令不间断✨ 1.口令红包兑换有效期为开奖后48小时内,逾期作废! 2.本次优惠券不可折现,优惠券兑奖有效期为开奖后7天内,逾期作废! 3.因无用户名,炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! 4.中途退群退频道,乱水群都会取消中奖资格! 5.口令联系 @cxq…

11 Nov 2026, 10:52 UTC≈2,200 viewsread 12 November 2026
Photo

📊 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: #恬恬 🔗 车牌:@tiantianzhk 💰 价格: #5/8 📍 地址: #高新区 #天府四街 🏷️ 标签:#少妇车 #服务车 #态度车 #自聊 #5P 🧾工兵锐评:人照相似度8分,年龄26,态度温柔,身高160,体重一百左右,中等颜值,B罩杯,黄白肤色,小蝴蝶户型毛量正常,很湿紧度适中。服务很专业,半套会所出身,正反面服务和口活毒龙都巴适,耍服务老哥可以出击。 💃🏻如有补充或更正,欢迎大家留言指正 聊天大群 @CD_julebu

11 Nov 2026, 10:29 UTC≈2,020 viewsread 12 November 2026
Photo

🎰 静宜 & 俱乐部发福利啦 📮 参与条件: 🎫 加入-静宜的频道 🎫 加入-神秘的出击流水账纪实 🎫 加入-༺ཌༀ成都修车俱乐部•车库ༀད༻ 🎫 加入-༺ཌༀ成都修车俱乐部ༀད༻ └ 🔑 发送口令﹝爱静宜,更爱俱乐部﹞ ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ PP200优惠券 × 6 💰️ 包夜500优惠券 × 6 💰️ 单P100优惠券 × 6 💰️ 口令红包🧧50 × 2 ⚠️ 抽奖说明: ✨俱乐部白嫖口令不间断✨ 1.口令红包兑换有效期为开奖后48小时内,逾期作废! 2.本次优惠券不可折现,优惠券兑奖有效期为开奖后7天内,逾期作废! 3.因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! 4.中途退群退频道,乱水群都会取消中奖资格! 5.口令联系 @dxm456 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月16日 18时00分00秒

11 Nov 2026, 10:00 UTC≈2,000 viewsread 12 November 2026
Photo

📊 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: #新新 🔗 车牌:@cdxinxinbaby 💰 价格: #4/7 📍 地址:#东郊记忆 🏷️ 标签:#成华区 #泰妹 #代聊 #4p #少妇车 🧾工兵锐评:人脸9分,老师开4性价比高,活泼开朗热情,泰国妹妹也很无障碍交流,服务也不少,非常推荐ly打卡。 💃🏻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 391 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 6 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
12 November 2026

Posts recorded as deleted after publishing

We recorded 7 posts on @CD_julebu1 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
19 August 2026
Most recent seen missing
15 October 2026
Median time before seen missing
20 hours
Seen missing in the last 30 days
1

Forward network

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 18 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 13 November 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), 73,213 subscribers as measured 13 November 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.