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Channel

成都91修车学院已验车库

@CD91InstituteXCK

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

39,268subscribers

+8,414 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-1001089883775
TypeChannel
Username@CD91InstituteXCK
Description本频道为 成都91修车学院 已验证真实楼凤/外围/私影/快餐/半/全套等资源整合发布平台!
CreatedBetween 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/CD91InstituteXCK

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 62% 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 2 other registered channels. 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
@CD91InstituteXCK/11961 · this entry4 Sept 2026, 07:25 UTC@lotterybestnav/55994 Sept 2026, 07:25 UTC1.00under a minute
@CD91InstituteXCK/12107 · this entry9 Sept 2026, 16:17 UTC@lotterybestnav/56389 Sept 2026, 16:18 UTC1.00under a minute
@CD91InstituteXCK/12668 · this entry1 Oct 2026, 04:23 UTC@lotterybestnav/57811 Oct 2026, 04:23 UTC1.00under a minute
@CD91InstituteXCK/13040 · this entry14 Oct 2026, 05:48 UTC@lotterybestnav/587214 Oct 2026, 05:48 UTC1.00under a minute
@CD91InstituteXCK/13073 · this entry15 Oct 2026, 04:14 UTC@lotterybestnav/587815 Oct 2026, 04:14 UTC1.00under a minute
@CD91InstituteXCK/13766 · this entry7 Nov 2026, 07:28 UTC@lotterybestnav/60547 Nov 2026, 07:28 UTC1.00under a minute
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
@lotterybestnav6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)
@lotterynav6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 434 comparable posts for this entry, running 5 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).

Recorded under the key 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.

Growth

30,85439,26835,0616 August 202611 November 2026
64 measurements spanning 97 days, net +8,414. 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 29,592–40,530 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 10:3639,268+25
9 Nov 2026, 17:1539,243+35
8 Nov 2026, 09:4939,208+23
7 Nov 2026, 06:4439,185+44
6 Nov 2026, 03:1939,141+39
5 Nov 2026, 00:3939,102-24
3 Nov 2026, 21:2639,126-11
2 Nov 2026, 22:1639,137+272
1 Nov 2026, 23:3438,865+58
1 Nov 2026, 02:0838,807+31
31 Oct 2026, 00:4638,776+20
30 Oct 2026, 03:4838,756+42
29 Oct 2026, 01:3938,714+49
27 Oct 2026, 22:4738,665+84
26 Oct 2026, 19:1738,581-4
25 Oct 2026, 21:0638,585+41
25 Oct 2026, 00:2038,544+23
24 Oct 2026, 01:4138,521+69
22 Oct 2026, 23:5538,452+153
21 Oct 2026, 19:1838,299first reading

Engagement

438 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 181 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.78%
avg views ÷ 39,268 subscribers
Avg views / post
699
152 posts measured
Reaction rate
0.339%
reactions ÷ views · ER floor
Posts in window
152
of 438 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 135 of 152 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 held438 (5 August 2026 – 13 November 2026)
Views total106,249
Reactions total335
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 13:48 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
≈6,840
Videos
≈689
Links
≈1,470

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
24m 29s
Average length
10s

Measured directly from 145 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

1,005 reactions across 380 posts, in 7 distinct kinds. The most used accounts for 80.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤80880.4%
👍18118.0%
😁60.597%
🔥30.299%
🥰30.299%
👏20.199%
🤓20.199%

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 396 of the 438 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 1,005 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 438 most recent posts we hold, published 5 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: 4 of 152 posts held from the last 30 days (2.63%) 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, 12:59 UTC107 views1 reactionsread 13 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名: #雪莉 地址: #高新区 #天府一街 价格: #900P/60分钟 类型: #御姐车 #颜值车 #态度车 #敏感车 #9P #自聊 #女友感 #大胸 #天府一街 联系: @cqlov999 锐评:该老师年龄25岁,身高167cm,体重95斤左右,巨乳细腰长腿,炮架子身材,肤色白皙光滑,全身捏住都是软绵绵的,很舒服,后背有一小串纹身;人照相似度9分,视频去点点美颜,基本差不多,真人颜值属于优秀,浓颜系网红风小姐姐,脸小巧的大眼睛妹妹;胸为天然大D,乳头乳晕正常,颜色粉色,软糯手感很好;下面户型为小蝴蝶偏一线天,粉嫩,水特别的多,比较紧,毛量偏少;服务为 陪洗 莎莎 水中萧 …

❤1

13 Nov 2026, 12:32 UTC165 viewsread 13 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名: #密密 地址: #双流区 #蓝光空港国际城 价格: #700P/50分钟 #1100PP/80分钟 类型: #御姐车 #巨乳 #服务车 #态度车 #巨乳 #口爆 #7P #代聊 #空港国际城 联系:@youxinya 锐评:该老师年龄26左右,身高163cm,体重98斤左右,狼友反馈人照7.8分,颜值耐看型。身材匀称前凸后翘,皮肤光滑肤色适中,小腿有巴掌大纹身。胸为天然C,乳头褐色大小适中,乳晕浅褐色大小适中,手感柔软。户型蝴蝶,紧度较紧,润度润,毛量适中。服务有嫩妹三件套,深喉,口爆,舔蛋,漫游,吸皮,胸推,指滑 优点:整体服务可以,配合度高态度好,日感反馈不错 …

13 Nov 2026, 06:47 UTC558 views1 reactionsread 13 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名:#曼伊 地址: #高新区 #天府二街 价格: #600P/60分钟 #900PP/90分钟 类型: #御姐车 #大长腿 #感觉车 #态度车 #6P 联系: @Emma_520 锐评:该老师年龄27+,身高体重为165cm47kg, 胸为C,软糯好rua,人照相似度高,可甜可盐的高颜值少御,该档位的颜值天花板! 优点:身材好,体态佳,大长腿。性格好,不是过分的要求老师都会配合,又紧又湿反馈很明显,服务温柔态度很好,冷艳的外表下是一颗善解人意的心 缺点:该价位来说暂无 总结:适合对颜值有着很高要求的狼友,推荐打卡,颜值控➕腿控➕脚控可以冲,PP性价比更高!

❤1

12 Nov 2026, 17:21 UTC969 views1 reactionsread 13 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名:#雨朵 地址: #锦江区 #市二医院 价格: #500P/50分钟 #900PP/90分钟 类型: #嫩妹车 #感觉车 #5P #代聊 #锦江区 联系:@yuduo3 锐评:该老师年龄20岁左右,身高165,体重115斤左右,身材匀称,身上有多处小纹身,皮肤手感嫩滑,人照相似度为8分; 颜值还行中上,腹部臀部肉多;胸是B+,乳晕小,手感柔软。下面户型为一线天,颜色外内粉,紧度湿度还不错,毛量少,敏感湿润,服务简单,口和爱爱 优点: 床上能配合换姿势,下面紧润 缺点:菜单上的服务项目和实际有出入,无舌。 总结:小嫩妹,颜值还行中上,身材匀称,皮肤紧致,下面户型不错,紧度…

❤1

12 Nov 2026, 17:17 UTC856 views2 reactionsread 13 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名: #甜甜 地址: #高新区 #天府三街 价格: #700P/50分钟 #1100PP/80分钟 类型: #御姐车 #颜值车 #敏感车 #人工白虎 #感觉车 #排骨精 #7P #武侯区 联系: @tiantianalal8 锐评:该老师年龄23+,身高162,体重41kg左右,狼友反馈人照相似程度9分,胸B不下垂,乳头大小正常,浅褐色,手感软乎乎,奶头舔了能硬挺起来,比较敏感。户型蝴蝶,浅褐色,水多,紧度偏紧,人工白虎。服务三件套 可舌 可69 优点:真人比照片好看的,颜值在线,做爱反馈还不错,比较风骚 缺点:服务偏少 总结: 老师颜值不错,穿衣气质好看,做爱反馈很好,…

❤2

12 Nov 2026, 17:15 UTC291 views3 reactionsread 13 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名:#婉莹 地址:#武侯区 #高升桥 价格:#700P/60分钟 #1000PP/90分钟 类型: #御姐车 #态度车 # #7P #自聊 #丝袜 #舌吻 #巨乳 #艳舞 #高升桥 联系:@woo110923 锐评:该老师年龄26岁,身高165,体重110斤左右,无纹身,人照相似度为8分;颜值骚气,味道十足,穿搭情趣纱纱裙战斗衣加丝袜,熟御姐风格;胸为天然大F,天然,大,包原装;乳头颜色浅褐色纽扣大小,胸部手感酥软,乳晕浅浅一圈;下面户型为蝴蝶加微微的包子,颜色外褐内粉,又湿又紧,周围毛量正常,会夹,服务 菜单有的都有,记忆深刻的,艳舞,口的时间长,服务用心 优点:老师的优点…

❤3

12 Nov 2026, 13:56 UTC589 views2 reactionsread 13 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名:#羊羊 地址: #青羊区 #太升南路 价格: #700P/50分钟 #1200PP/80分钟 类型: #嫩妹车 #态度车 #颜值车 #7P #代聊 #萝莉 #舌吻 #太升南路 联系:@yy6681 锐评:该老师年龄19岁,身高160,体重80斤左右,无纹身,皮肤手感嫩滑,肤色白皙,人照相似度为9分;颜值乖乖萝莉型风格 ;胸为B的样子,乳头颜色浅褐色乳头嫩嫩的,胸部手感酥软,乳晕浅浅一圈;下面户型为蝴蝶,颜色外褐内粉,紧度很紧,水量多;服务有 三件套 舌吻 69。 优点:妹妹较乖,皮肤白,情绪价值到位,热情,萝莉装,下面紧湿,反馈好 缺点:胸小一点 总结:小小的萝莉妹…

❤2

12 Nov 2026, 09:43 UTC333 views2 reactionsread 12 November 2026
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❤2

12 Nov 2026, 06:44 UTC494 views0 reactionsread 12 November 2026
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文东嫩妹御姐~工作室❗️❗️ 只做精品嫩妹御姐,专做回锅,各种服务车,嫩妹车,御姐车,SM,双飞,多P,外出,包夜……应有尽有日批找文东不走弯路➡️➡️每天频道不定时更新新人 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 约课联系:➡️ @Wendo02 聊天进群: https://t.me/wend9qQ 选妃频道: https://t.me/wedong01

11 Nov 2026, 16:31 UTC≈1,010 views2 reactionsread 12 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名:#小仪 地址: #成华区 #东郊记忆 价格: #700P/50分钟 #1200PP/90分钟 类型: #嫩妹车 #态度车 #7P #代聊 #丝袜 #舌吻 #东郊记忆 联系:@xiaoyi520_1 锐评:该老师年龄19岁,身高160,体重90斤左右,手臂有纹身,皮肤手感嫩滑,肤色偏小麦色,人照相似度为8分,去掉美颜就是本人,妹妹正常长相,穿搭邻家小妹那样,服务跟态度好,服务有:裸口,舔咪咪,共浴。舌吻,妹妹胸b+,乳头嫩软,挺拔手感好,口技好,下面紧,较湿,包裹感好,下面粉嫩,爱爱姿势都配合,易高潮。 优点:口技不错,下面紧湿反馈好,服务态度不错。 缺点:不太爱说话 …

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11 Nov 2026, 16:23 UTC877 views2 reactionsread 12 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名: #白小鹿 地址: #锦江区 #市中心 价格: #700P/50分钟 #1200PP/80分钟 类型: #嫩妹 #态度车 #公寓 #7p #代聊 #市中心 #身材 联系:@bxl556x 锐评:该老师年龄19岁左右,年轻有活力,身高165,体重95斤左右,手臂有纹身,小腹无赘肉,属于苗条耐看型,良家十足 人照8.5 颜值8.8 胸B 乳头小,颜色粉,皮肤手感可以,户型包子型,紧度湿度都不错,毛量少,服务有三件套,可舌吻,可69 优点: 身材好 无赘肉,胸粉 小穴敏感,颜值不错 年级很小 嫩 缺点: 比较腼腆,还需调教 总结:白小鹿属于颜值身材类型,19岁的花样年华,7…

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11 Nov 2026, 16:09 UTC757 views3 reactionsread 12 November 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 ✅成都91修车学院认证 艺名:#小蝶 地址: #高新区 #天府二街 价格: #500P/60分钟 #800PP/90分钟 类型: #御姐车 #态度车 #服务车 #5P #自聊 #丝袜 #大胸 #天府二街 #水润 联系:@Nxa520 锐评:该老师年龄28岁,身高165,体重100斤左右,无纹身,皮肤手感柔软光滑温暖,肤色正常,人照相似度为8分;颜值精致妆容御姐感,气质穿搭大胸大屁股魅惑骚气御姐少妇风格;胸为天然c不垂,真实柔软,乳头颜色不深不浅,大小偏大柔软,胸部手感柔软真实一手把握不住,乳晕中等大小一圈;下面户型为小蝴蝶,颜色不深不浅,湿度较湿,紧度,周围毛量中等,服务有帮洗,ab面,口,舔咪咪,爱…

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Showing the 12 most recent of 438 posts we hold for @CD91InstituteXCK. 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 recorded as deleted after publishing

We recorded 1 post on @CD91InstituteXCK 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
17 August 2026
Most recent seen missing
17 August 2026
Median time before seen missing
22 hours
Seen missing in the last 30 days
0

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 10 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.

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.

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

“成都91修车学院已验车库” (@CD91InstituteXCK), 39,268 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/CD91InstituteXCK.

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.