Telegram RegisterThe public register of Telegram
Telegram profile photo for 成都星辰新人专用车库

Channel

成都星辰新人专用车库

@cdxcxrcku

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

58,513subscribers

+4,857 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-1001359453903
TypeChannel
Username@cdxcxrcku
Description车库经常被炸,部分人看不到老车库,特意新做一个 老车库更新不影响 ,(欧美地区看不了老车库) https://t.me/xingchencheku1
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/cdxcxrcku

Topic

Adult — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 67% 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 word for word on 1 other registered channel. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@cdxcxrcku/3914 · this entry6 Aug 2026, 13:50 UTC@xinvchenbg/43406 Aug 2026, 13:52 UTC1.002 minutes
@cdxcxrcku/3917 · this entry6 Aug 2026, 14:10 UTC@xinvchenbg/43426 Aug 2026, 14:11 UTC1.00under a minute
@xinvchenbg/43466 Aug 2026, 16:22 UTC@cdxcxrcku/3921 · this entry6 Aug 2026, 16:22 UTC1.00under a minute
@xinvchenbg/43507 Aug 2026, 02:57 UTC@cdxcxrcku/3927 · this entry7 Aug 2026, 02:57 UTC1.00under a minute
@cdxcxrcku/3928 · this entry7 Aug 2026, 11:48 UTC@xinvchenbg/43517 Aug 2026, 11:49 UTC0.9572 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xinvchenbg5 (5/5 hand-verifiable sample passed)0.99under a minutethis entry (4–1)

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. 1 of the 1 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 10 comparable posts for this entry, running 5 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @cdxcxrcku — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

42,86458,84650,85558,5136 August 20267 November 2026
62 measurements spanning 93 days, net +4,857. 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 40,467–61,243 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
7 Nov 2026, 14:1058,513-249
6 Nov 2026, 16:0758,762-84
5 Nov 2026, 13:3658,846+57
4 Nov 2026, 12:3658,789-53
3 Nov 2026, 09:4658,842+69
2 Nov 2026, 09:3758,773+130
1 Nov 2026, 12:3758,643-4
31 Oct 2026, 11:4858,647+197
30 Oct 2026, 09:0458,450-23
29 Oct 2026, 11:0058,473+213
28 Oct 2026, 13:2158,260+205
27 Oct 2026, 10:1058,055+138
26 Oct 2026, 09:1957,917+197
25 Oct 2026, 08:5957,720+344
24 Oct 2026, 05:4957,376+127
23 Oct 2026, 05:2757,249+3,257
22 Oct 2026, 06:4053,992-11
21 Oct 2026, 02:5654,003+113
19 Oct 2026, 23:2853,890+106
18 Oct 2026, 20:0853,784first reading

Engagement

271 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.99%
avg views ÷ 58,513 subscribers
Avg views / post
1,170
92 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
92
of 271 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 November 2026
Posts held271 (5 August 2026 – 8 November 2026)
Views total107,259
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 05:16 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
≈2,770
Videos
≈270
Links
≈420

Lifetime counters from Telegram’s own channel header, read 8 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
9m 42s
Average length
10s

Measured directly from 59 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.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 92 posts held from the last 30 days (4.35%) 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).

8 Nov 2026, 00:08 UTC≈1,990 viewsread 8 November 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_6202939086

8 Nov 2026, 00:08 UTC134 viewsread 8 November 2026
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成都星辰楼凤修车车库 【编号】 #XC101 【花名】 #小蕾 【车牌】 @jileixiaojie 【地址】 #武侯区 #石羊立交 【标签】 #成都 #成都修车 #成都楼凤 #武侯区 #少妇车 #态度车 #大长腿 #蛇蛇精 #身材车 #服务车 【硬件】身高168cm,体重112斤,胸D,年纪30岁左右,黄皮,蝴蝶逼,无毛,正常紧,包裹感强 (无纹身)。 【软件👏👏】鸳鸯浴,🐍吻,无套吹箫,深喉,舔批,全套莞式服务,毒龙,爱爱 【课费】700/50 1100/90 #7/11 (VIP可半价) 【优惠】无 【验证】 报告 1 【综合评分】:态度/服务: 8分 颜值: 8,身材:7.8 ,综合: 7.8分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 真大胸D,态度好,服务拉满,不催钟,颜值耐看。口活好,毒龙时间久,人比较骚。 瑕疵: 少妇,身材有点岁月痕迹 同价格对比: 服务没问题,…

8 Nov 2026, 00:08 UTC111 viewsread 8 November 2026
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成都星辰楼凤修车车库 【编号】 #XC100 【花名】 #小艾 【车牌】 @xiaoaibby 【地址】 #昭觉寺南路 【标签】 #成都 #成都修车 #成都楼凤 #成华区 #嫩妹车 #态度车 #大长腿 #蛇蛇精 #身材车 # 女友感 #小麦色 #颜值车 #邻家妹子 #6p 【硬件】身高170cm,体重105斤,胸B+,年纪18岁,小麦色偏黑一点肤色。 【软件👏👏】洗,口,啪啪,🐍,炫逼。 【课费】600/50 1000/90 #6/10 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 8.8分 颜值: 9,身材:8.5 ,综合: 8.8分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 颜值嫩妹,人照相符,脸很幼态,有反差。丰乳肥臀,逼逼粉嫩,毛毛少,水多。爱爱过程听话配合 瑕疵:人比照片黑一点,服务有待加强 同价格对比: 嫩妹,颜值…

8 Nov 2026, 00:03 UTC113 viewsread 8 November 2026
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成都星辰楼凤修车车库 【编号】 #XC99 【花名】 #二妹 【车牌】 @amumdh 【地址】 #锦江区 【标签】 #锦江区 #少妇车 【硬件】身高160cm,体重112斤,胸d,年纪27岁,毛正常,比较紧, 有纹身。 【软件】陪洗,舔胸,口,胸推,爱爱。 【课费】600/p 800/pp #6/8 【优惠】无 【验证】 【综合评分】:态度/服务: 8分 颜值: 8,身材:8,综合: 8分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 人照相符,胸d手感好,配合度高,毛量正常,批紧比较紧水量正常,包裹感比较强,日感爽 瑕疵: 没法蛇 同价格对比: 少妇,颜值不错,胸大,日感爽 #妹妹原价600,结合VIP最低档8折,打完折才480,性价就更高了。(勿删) 总结:(200字左右) 老师人照8分,真人和照片差不多,比较耐看,皮肤嫩滑,相处氛很好很自然。胸大软软的,b比较紧,毛量适…

7 Nov 2026, 09:32 UTC342 viewsread 8 November 2026
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🫰专业抓龙筋丝足-全身经络SPA 📱营业地址:😳温江珠江广场附近 😳高新大源附近😳郫都区龙湖天街 💧尘世劳碌,耗损元气。择静室调养,疏经络,解劳乏,养一身精气神。身健气足,方能从容处世,万事皆可稳步前行。 🫰私密养护项目:🫰 ✨精油SPA,丝足柔式✨ 💕三起三落,龟责寸止💕 💖泰式龙筋,淋巴排毒💖 💗深度保养,前高潮吹💗 👾🤖🎃😺😸😹 男性的生殖系统出了问题会有诸多的引发症状,坚持做会有意想不到的收获,男人到了该保养的时候在忙也要对得起自己 😝😝😝😝😝😝😝😝😝😝 清婷苑频道: @qingwanting_1 🫰预约客服: @yyzlj01 🫰双向联系:@Yyzlj_bot (没回复就是在上课或是没睡醒🫰)

6 Nov 2026, 16:48 UTC≈2,000 viewsread 8 November 2026
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成都百花会锁半套菜单介绍 项目 预约价 时间 B 460 70分钟 【经典流程留底半裸】 【mm伺候沐浴】【床边服务】【经络按摩】【指滑】【过水】【漫游】【胸莎】【口痧】【胸tui】【360度大旋转】【调情】【添蛋】【十指弹琴】【毒龙】【吹箫九式】 【不带套零距离接触直接射嘴里】 【口一次,手一次】丝袜+20 【服务流程饱满,70分钟绝对做满】 项目 预约价 时间 A 620 90分钟 【服务流程全裸不留底】 【mm伺候沐浴】【床边服务】【经络按摩】【制服】【情趣】【过水】【漫游】【胸莎】【口痧】【胸推】【调情】【添蛋】【十指弹琴】【猛虎下山】【毒龙】【360度大旋转】【吹箫九式】【阴推】 【不带套零距离口直接射嘴里】 (口两次,丝袜免费) 【服务流程饱满,90分钟绝对做满】 〖高端大型会锁,mm选满意再耍,每天40多个在线,口…

6 Nov 2026, 08:52 UTC≈2,020 viewsread 8 November 2026
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💎红楼阁——高端会所💎 🌟主营-95半套-98全套-98海选 ❤️高端全套大海选 一排一排的选 氛围感拉满 选满意在玩【质量相当于有外围中圈和中大圈】 ✅自家高端95半套店 不冲卡 单次消费 没有隐形消费 高质量 服务有保障 每天在线30➕选满意在消费 有免费小吃 泡澡 凌晨后可留宿 ❤️全城也可以给你安排 高端95半套-98全套 会所宗旨:诚信经营服务至上、让你乘兴而来满意而归 📣狼友评价:@BBmOGY9 📛🫠🫠🫠:@BmOGY9 📛😪🫠🤗:@MBmOGY9 ✈️ : @aofeng567 🤖 : @CDHongloug_bot 😀😃😄😆

5 Nov 2026, 14:38 UTC719 viewsread 8 November 2026
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📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 成都星辰楼凤修车车库 【编号】 #XC95 【花名】 #丫丫 【车牌】 @yaya5206688 【地址】 #天府三街 【标签】 #成都 #成都修车 #成都楼凤 #武侯区 #态度车 #蛇蛇精 #懵醉仙逼 #邻家少妇 【硬件】身高168cm,体重100斤,胸D,年纪25岁,懵醉仙逼,毛多,包裹感强 (无纹身)。 【软件👏👏】陪洗,舌吻,调情,过水,胸推,添咪咪,口活,爱爱 【课费】500/50 800/90 #5/8 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 8分 颜值: 8,身材:8,综合: 8分。 【新人锐评】 优点: 老师的优点是服务车,服务到位,非常舒服,态度很好,老师户型较紧无异味,日感真实,反馈强,水多啊,换了几个姿势也没不耐烦,女上大奶晃一晃…

4 Nov 2026, 11:23 UTC791 viewsread 7 November 2026
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成都星辰楼凤修车车库 【编号】 #XC94 【花名】 #梦可儿 【车牌】 @mker520 【地址】 #万达广场 #金牛区 【标签】 #成都 #成都修车 #成都楼凤 #金牛区 #嫩妹车 #态度车 #排骨精 #女友感 #萝莉 #颜值车 #懵醉仙逼 #女儿感 【硬件】身高151cm,体重72斤,胸A,年纪24岁,懵醉仙逼,毛少,逼周围没有,紧,包裹感强 ,容易到底,纹身胸上右肩一小处,其余没有 【软件👏👏】鸳鸯浴,口活(很持久,5分钟起步)69,爱爱,态度好 【课费】600/50 900/90 #6/9 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 9分 颜值: 8.5,身材:8.5,综合: 8.8分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 24岁,排骨嫩御,人照相符,颜值不错,骨感身材,小只马,腰细两手一合就差抓起来了,…

4 Nov 2026, 11:23 UTC647 viewsread 7 November 2026
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成都星辰楼凤修车车库 【编号】 #XC93 【花名】 #影沐姐姐 【车牌】 @yingmojiejie 【地址】 #武侯区 #心岛 【标签】 #成都 #成都修车 #成都楼凤 #武侯区 #御姐车 #人照八分 #代聊 #颜值车 #身材车 #大长腿 #态度车 #感觉车 #服务车 ##巨乳 #蜜桃臀 #褐色蝴蝶逼 #深喉 #丰满 #7/13 【硬件】身高165cm,体重100斤,胸C,年纪26岁左右,皮肤小麦色,褐色蝴蝶逼,毛不多,批紧水多,包裹感强 (无纹身)。 【软件👏👏】鸳鸯浴,水中萧,按摩,胸推,指滑,过水,舌漫,毒🐉,亲咪咪,舔蛋,吸蛋,180°无套吹箫,深喉,舔批,爱爱。 【课费】700/50 1300/90 #7/13 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 9分 颜值: 9分,身材:9分,综合:9分。 【新人锐评】(字数相当,不能比样板少) (含优点…

4 Nov 2026, 11:23 UTC571 viewsread 7 November 2026
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成都星辰楼凤修车车库 【编号】 #XC92 【花名】 #甜甜 【车牌】 @zz260217 【地址】 #天府三街 【标签】 #成都 #成都修车 #成都楼凤 #武侯区 #嫩妹车 #大长腿 #身材车 #排骨精 #女友感 #颜值车 #邻家妹子 #嫩妹三件套 【硬件】身高165cm,体重96斤,胸B,年纪20岁,皮肤细腻,毛毛修剪过,bb不见得紧,水多,手腕纹身,抽烟。 【软件👏👏】帮洗,无🐍吻,无套吹箫,69,爱爱。 【课费】600/50 1000/90 #6/10 (VIP可半价) 【优惠】无 【验证】 报告 1 2 3 4 5 6 【综合评分】:态度/服务: 8分 颜值: 8.8,身材:8.5 ,综合: 8.4分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 颜值嫩妹,人照相符,细腰小屁股,腰部无赘肉,大长腿,皮肤白皙,胸B手感好,乳头略微内陷,口活厉害,没有齿感。阴毛修剪过,算是包子批,…

3 Nov 2026, 04:30 UTC≈1,060 viewsread 7 November 2026
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成都星辰楼凤修车车库 【编号】 #xc91 【花名】#栗子 【车牌】 @lizi_8880 【地址】 #大源 【标签】 #成都 #成都修车 #态度车 #蛇蛇精 #身材车 #排骨精 #女友感 #邻家妹子 #女儿感 【硬件】身高160cm,90斤,胸C,年纪26左右岁,较黑,毛量适中,水多 (无纹身)。 【软件👏👏】鸳鸯浴,🐍吻,无套吹箫,69,爱爱。 【课费】工 【优惠】无 【验证】 报告 【综合评分】:态度/服务: 9分 颜值: 8分,身材:8分 ,综合: 8分。 【新人锐评】(字数相当,不能比样板少) (含优点和瑕疵) 优点: 可以说是她的特色,不是白白嫩嫩的类型,有点日漫里面的黑皮女的感觉,别有一番风味。尤其是五官很立体,很别致,身材不错,有一双大长腿 瑕疵: 皮肤有点痘痘 同价格对比: 口活很好很得劲 总结:(200字左右) 老师人照8分,真人五官很立体。很能聊天,进门以后先聊了个10分钟的…

Showing the 12 most recent of 271 posts we hold for @cdxcxrcku. 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

@cdxcxrcku 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
17 September 2026
Most recent edit
17 September 2026

Posts recorded as deleted after publishing

We recorded 8 posts on @cdxcxrcku 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
8 August 2026
Most recent seen missing
27 October 2026
Median time before seen missing
25 hours
Seen missing in the last 30 days
4

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 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.

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“成都星辰新人专用车库” (@cdxcxrcku), 58,513 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/cdxcxrcku.

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.