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Channel

成都91修车学院已验车库

@CD91InstituteXCK

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

38,247subscribers

+7,393 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 live20 October 2026
Measurements held44
Confirmed unchanged1 time, most recently 20 October 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 why it has no browse page of its own yet.

Growth

30,85438,24734,550.56 August 2026 — 30,854 subscribers7 August 2026 — 30,859 subscribers8 August 2026 — 30,972 subscribers9 August 2026 — 31,032 subscribers9 August 2026 — 31,055 subscribers10 August 2026 — 31,151 subscribers12 August 2026 — 31,243 subscribers12 August 2026 — 31,346 subscribers14 August 2026 — 31,441 subscribers15 August 2026 — 31,569 subscribers16 August 2026 — 31,809 subscribers18 August 2026 — 31,840 subscribers19 August 2026 — 31,815 subscribers20 August 2026 — 31,830 subscribers21 August 2026 — 31,907 subscribers22 August 2026 — 32,007 subscribers24 August 2026 — 32,071 subscribers25 August 2026 — 32,121 subscribers26 August 2026 — 32,235 subscribers27 August 2026 — 32,336 subscribers28 August 2026 — 32,427 subscribers29 August 2026 — 32,533 subscribers30 August 2026 — 32,488 subscribers1 September 2026 — 32,640 subscribers2 September 2026 — 32,734 subscribers3 September 2026 — 32,848 subscribers5 September 2026 — 33,045 subscribers8 September 2026 — 34,061 subscribers11 September 2026 — 34,565 subscribers13 September 2026 — 35,025 subscribers15 September 2026 — 35,141 subscribers16 September 2026 — 35,362 subscribers19 September 2026 — 35,492 subscribers25 September 2026 — 35,904 subscribers4 October 2026 — 36,503 subscribers8 October 2026 — 36,828 subscribers13 October 2026 — 37,451 subscribers14 October 2026 — 37,618 subscribers15 October 2026 — 37,686 subscribers16 October 2026 — 37,722 subscribers17 October 2026 — 37,862 subscribers18 October 2026 — 38,014 subscribers19 October 2026 — 38,127 subscribers20 October 2026 — 38,247 subscribers6 August 202620 October 2026
44 measurements spanning 75 days, net +7,393. 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 29,745–39,356 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)SubscribersChange
20 Oct 2026, 11:4638,247+120
19 Oct 2026, 09:0938,127+113
18 Oct 2026, 06:1638,014+152
17 Oct 2026, 08:3637,862+140
16 Oct 2026, 09:4437,722+36
15 Oct 2026, 11:5937,686+68
14 Oct 2026, 13:2037,618+167
13 Oct 2026, 01:3037,451+623
8 Oct 2026, 16:1736,828+325
4 Oct 2026, 06:3936,503+599
25 Sept 2026, 15:0035,904+412
19 Sept 2026, 02:4235,492+130
16 Sept 2026, 20:1835,362+221
15 Sept 2026, 00:0135,141+116
13 Sept 2026, 10:2235,025+460
11 Sept 2026, 13:1834,565+504
8 Sept 2026, 20:0034,061+1,016
5 Sept 2026, 12:5733,045+197
3 Sept 2026, 16:2032,848+114
2 Sept 2026, 06:1732,734first reading

Engagement

316 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 134 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.13%
avg views ÷ 38,247 subscribers
Avg views / post
816
134 posts measured
Reaction rate
0.366%
reactions ÷ views · ER floor
Posts in window
134
of 316 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 129 of 134 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 20 October 2026
Posts held316 (5 August 2026 – 20 October 2026)
Views total109,370
Reactions total393
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Oct 2026, 21:02 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
≈6,420
Videos
≈644
Links
≈1,390

Lifetime counters from Telegram’s own channel header, read 20 October 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
19m 04s
Average length
11s

Measured directly from 107 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

749 reactions across 278 posts, in 7 distinct kinds. The most used accounts for 81.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤60981.3%
👍12516.7%
😁60.801%
🥰30.401%
👏20.267%
🔥20.267%
🤓20.267%

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 289 of the 316 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 749 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 316 most recent posts we hold, published 5 August 2026 to 20 October 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

20 Oct 2026, 15:28 UTC392 views1 reactionsread 20 October 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: #蓓蓓 地址: #锦江区 #时光绘 价格: #500P/50分钟 #800PP/90分钟 类型: #少妇车 #态度车 #服务车 #5P #自聊 #舌吻 #毒龙 #大胸 #时光绘 联系: @CDbei 锐评:该老师年龄28岁,身高160,体重90斤左右,纹身在小腹,皮肤光滑软软的,人照相似度为8分;颜值好看属于小美少妇,身穿紫色小吊带,纯欲风格;胸为天然C但有点下垂属于正常,乳头属于紫色系葡萄,胸部手感酥软,乳晕小小的;下面户型为馒头形状,颜色褐色,很湿,周围毛量正常,服务有三件套,69,吸皮,毒龙这个给到夯时间之久之细致顶级,陪洗,过水,指划胸推,AB面,深喉 优点…

❤1

20 Oct 2026, 15:07 UTC390 views2 reactionsread 20 October 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: #晴晴 地址: #成华区 #驷马桥 价格: #700P/50分钟 #1200PP/90分钟 类型: #嫩妹车 #颜值车 #感觉车 #敏感车 #7P #代聊 #舌吻 #驷马桥 联系: @qqingbb 锐评:该老师年龄20岁,身高162,体重90到100斤左右吧,身材匀称,摸着很舒服,无纹身,皮肤手感嫩滑,肤色偏白,身上摸起非常舒服,人照相似度为9分,长得挺漂亮,穿搭比较有气质;胸为天然B+,挺,手感好,摸起舒服,乳头粉褐色,乳晕小,咪咪小,胸部手感酥软;下面户型为蝴蝶,颜色很外褐内粉色,比较湿,紧度很紧,周围毛量偏少,服务除了三件套还有大蟒蛇管够 优点:年纪小,态度好…

❤2

20 Oct 2026, 10:04 UTC683 views2 reactionsread 20 October 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: #子涵 地址: #武侯区 #永丰路 价格: #700P/50分钟 #1300PP/90分钟 类型: #嫩妹车 #态度车 #女友感 #敏感车 #7P #代聊 #永丰路 联系: @yiner_01 锐评:该老师年龄20岁,身高163cm,体重90斤左右,身材匀称前凸后翘,肤色偏白,右侧肩膀有少量纹身;真人颜值中等,圆脸甜妹萝莉类型;胸为B+,乳头乳晕偏小,颜色粉褐色,挺拔有弹性;下面户型蝴蝶,紧凑,外褐内粉,比较紧很湿,敏感,周围毛量偏少,昆感好;服务为三件套+69+舌吻 优点:自来熟性格好,会聊天,身材匀称纤细,前凸后翘 缺点:下巴处有青春痘 总结:该妹儿身材匀称,…

❤2

20 Oct 2026, 06:07 UTC873 views2 reactionsread 20 October 2026
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#成都外围 #成都修车 #成都上门 #成都包养 🛫最专业.靠谱.良心.热情的经济🛫 成都Kiss极致严选外围 👉👉👉👉👉👉👉👉👉👉 主打成都.全国一二三线中高端资源 🎆外围|会所| 包养|商K🎆 🥺 安排联系: @kiss666🥺 😣☹️🙁🙁😶‍🌫️😶‍🌫️😣🥳☹️ 💎成都外围每日更新💎 t.me/+2MWwmXWQPiY0Mjdl 🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰 👉外围报告最真实的出击报告 👉 t.me/kiss06 —————————————— 👉全国Bao养 @bymax51bot👉 良心经济,支持货比三家,主打不冒不骗不烧,致力服务好每一位选择Kiss的各位 🌷老客户福利超多……各种白嫖优惠卷及福利多的怀疑您眼睛 欢迎拿图咨询 😀🐉🥵😀🐉😀🐉🐉🐉

❤2

20 Oct 2026, 04:29 UTC926 views4 reactionsread 20 October 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: #张馨予 地址: #高新区 #交子大道 价格: #800P/50分钟 #1500PP/100分钟 类型: #御姐车 #态度车 #颜值车 #敏感车 #8P #自聊 #女友感 #舌吻 #交子大道 联系: @acujs2929727 锐评:该老师年龄21岁,身高165cm,体重100斤左右,身材很好,大屁股,肤色偏白,有纹身;人照相似度8.6分,去点美颜,真人颜值高,骚骚的御姐类型;胸为大D,乳头乳晕偏小,颜色粉色,挺拔软糯手感好;下面户型为一线天,紧凑,好看,颜色粉,比较紧很湿,敏感,昆感极好;服务为 陪洗 乳交 A面 舌吻 口 优点: 颜值高,身材好,态度超好,情绪价值高…

❤3👍1

19 Oct 2026, 16:47 UTC907 views8 reactionsread 20 October 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: #贝贝 地址: #高新区 #天府三街 价格: #700P/50分钟 #1200PP/90分钟 类型: #态度车 #颜值车 #7P #代聊 #舌吻 #巨乳 #天府三街 #符文 #女友感 联系:@BB3819 锐评:该老师年龄19+,身高160cm左右,体重50kg左右,身材匀称,目测不胖不瘦,身上无赘肉。腿上有花臂纹身。皮肤细腻,皮肤较白,人照8.8分。颜值8.8分,真人属于青春靓丽,颜值好看,胸型C+到D之间,细支硕果,乳晕乳头粉色,乳头大小和花生粒差不多,手感好,胸型好看。户型小蝴蝶,外褐内粉,日感觉紧致,水量一般,毛少,服务三件套,可舌吻,可69 优点:皮肤白且细腻,…

❤7👍1

19 Oct 2026, 16:26 UTC854 views5 reactionsread 20 October 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: #熊猫 地址: #高新区 #天府三街 价格: #500P/50分钟 #800PP/90分钟 类型: #嫩妹车 #态度车 #5P #代聊 #舌吻 #大源 #丰满 联系:@XM279 锐评:该老师身高163cm,体重50kg+,比菜单标注的120斤预期看着苗条一些,颜值中上,自述之前在快手做团播,狼友去的时候是淡妆,没有频道照片里的那么精致,胸B+ 刚好一手,乳头乳晕大小中等,颜色偏褐色,弹性好。户型是小蝴蝶形状,褐色,毛量不多,插入紧度适中,叫声很好听,嫩妹感十足。服务有三件套,可舌吻,可69 优点:嫩,胸部手感好,温柔主动,叫声好听。口技顺滑,能吞的比较深,并且会间隔着用…

❤4👍1

19 Oct 2026, 16:12 UTC772 views3 reactionsread 20 October 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:#珊珊 地址: #高新区 #天府二街 价格: #600P/50分钟 #900PP/90分钟 类型:#御姐 #白皮 #身材 #良家感 #服务车 #感觉车 #自聊 #6p #高新区 #舌吻 #丝袜 联系: @shanss99 锐评:该老师年龄25岁左右,身高165,体重100斤,身材均匀,左肩胸部有局部纹身,皮肤白嫩,皮肤手感嫩滑,人照相似度为9分,本人颜值御姐,身材沙漏型,该胖的胖该瘦的瘦,胸C+,乳晕正常,乳头花生米大小,手感柔软,屁股很翘,后入有臀浪,小穴户型为褐色大蝴蝶,颜色外褐内粉,又湿又紧,人工白虎无异味,敏感湿润,莞式服务胸推指滑深喉毒龙等应有尽有,爱爱各种姿势都…

❤3

19 Oct 2026, 16:07 UTC235 views1 reactionsread 19 October 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: #依依 地址: #市中心 #富力中心 价格: #800P/60分钟 #1300PP/90分钟 类型: #嫩妹车 #丰满 #态度车 #舌吻 #深喉 #8P #市中心 #代聊 #舌吻 联系: @twm003 锐评:该老师年龄22左右,身高163cm,体重100斤左右,狼友反馈人照8分,颜值8分。背部一处大小适中的纹身,身材较丰满,皮肤较光滑肤色正常。胸为天然B+,乳头褐色大小适中,乳晕浅褐色大小偏大,手感柔软。户型蝴蝶,紧包裹感足会夹润度较润,毛量适中。服务有嫩妹三件套,舌吻,69,深喉,舔胸 优点:昆感较好,配合度高 缺点:吸烟 总结:健谈很能聊的嫩妹。身材较丰满,胸部…

❤1

18 Oct 2026, 17:25 UTC780 views3 reactionsread 19 October 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: #阮星禾 地址: #高新区 #天府三街 价格: #600P/50分钟 #1000PP/80分钟 类型: #嫩妹车 #态度车 #可爱 #6P #自聊 #舌吻 #jk #制服 #萝莉 #夜课 #包时 #天府三街 联系:@xinhe18 锐评:老师年龄18岁左右,身高162cm,体重80斤左右,身材匀称,无纹身,皮肤白皙光滑,人照相似度为9分;颜值8.5分,真人属于耐看型的嫩妹,气质穿搭比较卡哇伊,胸天然B,手感不错,乳头颜色比较粉,下面户型小蝴蝶,外褐内粉,很湿很紧,毛量比较少,服务嫩妹三件套,可舌吻 优点:萝莉嫩妹,属于小小只类型,性格好爱笑,听话配合,日感不错 …

❤2👍1

18 Oct 2026, 17:20 UTC709 views1 reactionsread 19 October 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: #小贝 #小雅 地址: #武侯区 #金融城 价格: #600P/50分钟 #800无限火力/60分钟 #双飞1200P/60分钟 #双飞1800PP/90分钟 类型:#御姐车 #双飞 #态度车 #服务车 #6P #自聊 #少妇车 #金融城 联系:@Beidi1888888 @xiaoya123456 锐评:小贝28岁,身高162,体重50kg,无纹身,皮肤手感光滑,人照相似度为8分;姐姐性感知性,胸D,乳头颜色深褐色,乳头大,胸部手感软,乳晕大;下面户型为蝴蝶,颜色褐色,湿紧度适中,毛量多 小雅:26岁,身高:160,体重48kg左右,无纹身,皮肤手感光滑,人照相…

❤1

18 Oct 2026, 16:28 UTC696 views2 reactionsread 19 October 2026
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Showing the 12 most recent of 316 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.

Forward network

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.

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 20 October 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), 38,247 subscribers as measured 20 October 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.