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Channel

成都 研究所车库已验证

@c066i

Has discussion group2 usernames

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

37,155subscribers

+4,784 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002147230331
TypeChannel
Usernames@c066i @CDyanjiusuopingdao
Description一个土生土长的本地群组、车库上榜的老师都是去过后上榜。 群组: https://t.me/cdyanjsuo
CreatedBetween 1 April 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live24 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 24 September 2026
On Telegramt.me/c066i

Topic

Other / unclassifiable — 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 65% 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

32,37137,15534,76314 August 2026 — 32,371 subscribers15 August 2026 — 32,391 subscribers16 August 2026 — 32,644 subscribers17 August 2026 — 32,709 subscribers18 August 2026 — 32,841 subscribers19 August 2026 — 32,943 subscribers20 August 2026 — 33,112 subscribers22 August 2026 — 33,223 subscribers23 August 2026 — 33,354 subscribers25 August 2026 — 33,474 subscribers26 August 2026 — 33,471 subscribers27 August 2026 — 33,590 subscribers28 August 2026 — 33,630 subscribers29 August 2026 — 33,720 subscribers30 August 2026 — 33,783 subscribers31 August 2026 — 33,855 subscribers1 September 2026 — 33,940 subscribers2 September 2026 — 34,046 subscribers3 September 2026 — 34,105 subscribers5 September 2026 — 34,279 subscribers8 September 2026 — 34,696 subscribers11 September 2026 — 35,047 subscribers13 September 2026 — 35,095 subscribers14 September 2026 — 35,291 subscribers16 September 2026 — 35,488 subscribers18 September 2026 — 36,089 subscribers19 September 2026 — 36,115 subscribers24 September 2026 — 37,155 subscribers14 August 202624 September 2026
28 measurements spanning 41 days, net +4,784. 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 31,653–37,873 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
24 Sept 2026, 23:5937,155+1,040
19 Sept 2026, 00:2036,115+26
18 Sept 2026, 15:1936,089+601
16 Sept 2026, 08:1735,488+197
14 Sept 2026, 15:3935,291+196
13 Sept 2026, 00:5935,095+48
11 Sept 2026, 04:5835,047+351
8 Sept 2026, 08:0134,696+417
5 Sept 2026, 01:3934,279+174
3 Sept 2026, 09:4834,105+59
2 Sept 2026, 05:2734,046+106
1 Sept 2026, 02:3833,940+85
31 Aug 2026, 01:4633,855+72
30 Aug 2026, 00:5833,783+63
29 Aug 2026, 02:1333,720+90
28 Aug 2026, 04:1733,630+40
27 Aug 2026, 05:0333,590+119
26 Aug 2026, 04:2433,471-3
25 Aug 2026, 01:2233,474+120
23 Aug 2026, 14:1433,354first reading

Engagement

60 posts held, back to 13 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 69 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.46%
avg views ÷ 37,155 subscribers
Avg views / post
542
39 posts measured
Reaction rate
0.442%
reactions ÷ views · ER floor
Posts in window
39
of 60 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 28 of 39 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 26 September 2026
Posts held60 (13 August 2026 – 26 September 2026)
Views total21,156
Reactions total70
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 03:21 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
≈3,580
Videos
≈313
Links
≈590

Lifetime counters from Telegram’s own channel header, read 27 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
1m 30s
Average length
8s

Measured directly from 12 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

107 reactions across 40 posts, in 7 distinct kinds. The most used accounts for 60.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6560.7%
👍1917.8%
🔥1413.1%
👏43.74%
👎21.87%
🥰21.87%
😱10.935%

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 44 of the 60 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 107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 60 most recent posts we hold, published 13 August 2026 to 26 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.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
3
of 60 we hold a reading for · 5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @c066i. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 60 most recent posts we hold for this entry, published 13 August 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

26 Sept 2026, 23:41 UTC125 views1 reactionsread 27 September 2026
Photo

📊 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 【成都研究所车库】 【花名】 #露露 【车牌】 @Lulu5226 【地址】 #天府二街 【标签】 #态度车 #大长腿 #蛇蛇精 #御姐 #女友感 #服务车 #态度车 【硬件】C+,164,27,皮肤白,胸挺拔,bb很紧,很烫,容易出水,包裹感强 无纹身 【软件】蛇 ab面 按摩 毒龙具体看菜单 【课费】600/p 1000/pp 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8 , 硬件 :9,综合 9 【特别提示】 优:老师人照8分,妥妥的服务车,态度车,性价比车,每个项目都慢慢做,从来不卡时间,每个项目都爽得飞起,梦回东莞 缺:无 其他: #详细介绍请查看下面评论…

❤1

26 Sept 2026, 15:07 UTC251 views1 reactionsread 27 September 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 【成都研究所车库】 【花名】 #舒云 【车牌】 @shuyue09 【地址】 #红牌楼 【标签】 #武侯区 #身材车 #嫩妹车#女友感#态度车 【硬件】165cm,45kg,身高165 cm体重 45kg皮肤手感光滑,小穴小蝴蝶,紧度很紧,湿度很湿,毛量不多,胸部b无科技,奶头小 【软件】鸳鸯浴,水中箫,裸口,舔蛋蛋,深喉,69,爱爱 【课费】500/60 800/90 #5/8 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件9, 硬件 :9,综合 9 【特别提示】 优: 御姐型嫩妹,颜值好看,身材车,健谈性格好,该有的服务都有 缺:无 其他:开5的嫩妹车,且颜值在线,身材…

❤1

26 Sept 2026, 14:55 UTC246 views1 reactionsread 27 September 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 【成都研究所车库】 【花名】 #含笑 【车牌】 @sxss778 【地址】 #武侯区 【标签】 #武侯区 #磨子桥 #御姐车 #身材车 #颜值感 #态度车 【硬件】168,49kg,23岁,颜值好看,胸C,皮肤偏白,蝴蝶小穴毛量少,颜色外褐内粉。 【软件】陪洗,水中箫,舔胸,蛇,69,无套口,爱爱 【课费】700/50 1200/90 #7/12 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8.7分, 硬件 :8.7分综合 8.7分 【特别提示】:人照相识度高,去掉美颜滤镜基本就是本人,168长腿配丝袜,身材均匀没赘肉,颜值挺好看,态度热情,服务不流程,胸挺大有C,小穴外褐…

❤1

26 Sept 2026, 01:04 UTC420 viewsread 27 September 2026
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【成都研究所车库】 【花名】 #琪妹 【车牌】 @@qmer520 【地址】 #春熙路 【标签】 #武侯区 #8p #御姐#蛇蛇精 #水中萧 #感觉车 #大长腿 #身材好 【硬件】22,165,100,身材好,屁股翘,性格好 【服务】 按摩,调情,胸推,口,69,蛇,水中萧 【费用】 #8 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件9, 硬件 :9,综合 9 【特别提示】 青春嫩,喜欢聊天,享受做爱 屁股翘,大长腿 体力不行 开8可以打卡 真人比照片好看一点 #详细介绍请查看下面评论 【内部折扣】内部群享受5折等福利 【联系上榜】 @yanjiusuobg_bot

25 Sept 2026, 10:24 UTC491 views1 reactionsread 27 September 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 【成都研究所车库】 【花名】 #欣欣 【车牌】 @xxin1520 【地址】 #天府二街 【标签】 #态度车 #大长腿 #御姐 #排骨精 #女友感 #服务车 #态度车 【硬件】b罩杯,身材可以,皮肤细腻,B紧包裹性强 【软件】会所服务具体看菜单 【课费】600/P1000/pp 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8 , 硬件 :8.5,综合 8.3 【特别提示】 优:老师人照8分,精致小少妇一枚,服务体贴,放的开聊得来,逼紧水多,上位疯狂摇 缺:房间灯光稍暗, 其他: #详细介绍请查看下面评论 【内部折扣】内部群享受5折等福利 【联系上榜】 @yanjius…

❤1

24 Sept 2026, 04:37 UTC604 views1 reactionsread 26 September 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 【成都研究所车库】 【花名】 #婷婷(刚下海嫩妹) 【车牌】 @TingTingya6 【地址】 昭觉寺南路 【标签】 #成华区 #嫩妹车 #态度车 #大长腿 #女友感 #萝莉 #服务车 #刚下海 #白嫩 【硬件】160,105,18,皮肤白嫩,胸小巧掌中宝,腰细挺拔,bb很嫩,很好看,包裹感强 【软件】蛇 ab面 接吻陪浴 裸口 按摩 三件套具体看菜单(刚下海会的不多,态度端正) 【课费】600/50 1000/90 #6/10 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8 , 硬件 :9,综合 8.5 【特别提示】 优:老师人照9分,大长腿白嫩,刚下海超嫩,性格活泼…

❤1

24 Sept 2026, 04:31 UTC457 views1 reactionsread 26 September 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 【成都研究所车库】 【花名】 #沈小桃 【车牌】 @linxiaoyu12 【地址】 #驷马桥(后期会变) 【标签】 #成华区 #嫩妹车 #态度车 #微胖车 #蛇蛇精 #女友感 #娃娃脸 #态度车 (自己看标签) 【硬件】c,164,18,皮肤白,胸c笋子奶,bb很嫩,很好看,包裹感强 无纹身 【软件】蛇 三件套 陪洗 69 具体看菜单 【课费】700/50 1100/90 #7/11 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8 , 硬件 :8,综合 8 【特别提示】 优:老师人照8分,微胖车,大屁股适合背枪,大蟒蛇很舒服。大奈子,娃娃脸。 缺: 其他: 老师…

❤1

22 Sept 2026, 10:35 UTC655 views2 reactionsread 25 September 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 【成都研究所车库】 【花名】 #张馨予 【车牌】 @acujs2929727 【地址】 #香悦城 【标签】 #武侯区 #蛇蛇精 #御姐 #bbw 【硬件】d,162,26,皮肤白,天然🐻柔软,局部纹身 【软件】蛇 陪洗 乳交 制服 【课费】800/50 1500/90 #8/15 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8 , 硬件 :8,综合 8 【特别提示】 优:老师人照8分,比较白,胸特别柔软,屁股翘,适合背枪,大蟒蛇很舒服。 缺:。 其他: #详细报告介绍请查看下面评论 【内部折扣】内部群享受5折等福利 【联系上榜】 @yanjiusuobgbot

❤2

22 Sept 2026, 04:20 UTC671 views2 reactionsread 25 September 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 【成都研究所车库】 【花名】 #小迪 【车牌】 @Tianoipo 【地址】 #动物园 【标签】 #成华区 #嫩妹车 #身材车 #女友感 #态度车 【硬件】170,45kg,18岁,颜值耐看,天然胸B+,皮肤小麦色,蝴蝶穴颜色粉嫩,三点粉。 【软件】陪洗,舔胸,蛇,69,舔蛋,无套口,爱爱 【课费】600/50 1000/90 #6/10 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8.6分, 硬件 :8.8分综合 8.7分 【特别提示】 嫩妹170大长腿,模特身材90斤左右,身材前凸后翘,颜值耐看,态度好服务不敷衍,三点粉,小穴外粉内粉无异味,又紧又润,双pp更有性价…

❤2

22 Sept 2026, 04:15 UTC510 viewsread 24 September 2026
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📊 1条车评,综合分 7.7 好评 100% | 人照 8.0 | 服务 8.0 中评 0% | 颜值 7.0 | 态度 8.0 差评 0% | 身材 7.0 | 环境 8.0 👆 【点击查看评价】 【成都研究所车库】 【花名】 #林林 【车牌】 @CD_linlin 【地址】 #东大路 【标签】 #态度车 #御姐 #少妇车#服务车 【硬件】胸c,163,28,皮肤白,bb褐粉,很好看,包裹感强 (无纹身) 【软件】 ab面 按摩 胸推 69 口 毒龙 【课费】400/60 700/90 #4/7 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8 , 硬件 :8,综合 8 【特别提示】 优:老师态度很好,服务很充分,每项服务都会给你主动做,有要求也积极配合,屁股很翘,很有弹性,手感很好,穴很紧很湿热,水很多,综合来说很值得去 缺:暂…

19 Sept 2026, 06:12 UTC≈1,020 views1 reactionsread 24 September 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 【成都研究所车库】 【花名】 #柠檬 【车牌】 @nengmengz 【地址】 #高新区 【标签】 #武侯区 #5p #自聊 #少妇 #毒龙 #服务车 #感觉车 【硬件】年龄26,颜值中上,御姐少妇风格。身高157,体重48kg,罩杯C,肤色偏白,光滑,后入紧 【服务】 ,ab面,按摩,过水,臀推,蚂蚁上树,舌漫,调情,胸推,口,69,毒龙 【费用】 #5/8 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件9, 硬件 :8,综合 8.5 【特别提示】 老师才来电报不久,服务比较认真,菜单上的基本都做了,口也很久,后入明显很紧,皮肤白皙,开5完全值得冲。 #详细介绍请查看下…

❤1

19 Sept 2026, 06:02 UTC593 views1 reactionsread 22 September 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 【成都研究所车库】 【花名】 #宋词 【车牌】 @songcio 【地址】 #玉林路(后期会变化) 【标签】 #武侯区 #态度车 #蛇蛇精 #御姐 #排骨精 #女友感 #服务车 #6P #自聊 【硬件】A➕,160,27—28,皮肤浅麦色,挺拔,身材均匀无赘肉,穴紧水多包裹感强 ,爱爱情绪价值反馈好,态度好,女骑士 【软件】蛇 ab面 按摩 三件套具体看菜单 【课费】600/50 1000/90 #6/10 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8 .5, 硬件 8,综合 8 【特别提示】 照片去美颜就是本人,御姐型妹子,身材好无赘肉,爱爱情绪反馈很到位,穴紧水多…

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Showing the 12 most recent of 60 posts we hold for @c066i. 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

@c066i 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
21 August 2026
Most recent edit
21 August 2026

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 24 September 2026 — this entry's latest reading, not the date you are reading this.

“成都 研究所车库已验证” (@c066i), 37,155 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/c066i.

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.