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Channel

成都 研究所车库已验证

@c066i

2 usernames

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

33,783subscribers

+1,412 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 March 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live30 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/c066i

Growth

32,37133,78333,07714 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 subscribers14 August 202630 August 2026
15 measurements spanning 15 days, net +1,412. 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 32,159–33,995 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
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, 14:1433,354+131
22 Aug 2026, 03:5933,223+111
20 Aug 2026, 21:3633,112+169
19 Aug 2026, 18:2332,943+102
18 Aug 2026, 20:0732,841+132
17 Aug 2026, 22:5232,709+65
16 Aug 2026, 20:1332,644+253
15 Aug 2026, 10:1332,391+20
14 Aug 2026, 19:0332,371first reading

Engagement

25 posts held, back to 13 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 31 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.38%
avg views ÷ 33,783 subscribers
Avg views / post
803
25 posts measured
Reaction rate
0.24%
reactions ÷ views · ER floor
Posts in window
25
of 25 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 25 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 29 August 2026
Posts held25 (13 August 202629 August 2026)
Views total20,085
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Aug 2026, 06:12 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
3,430
Videos
302
Links
543

Lifetime counters from Telegram’s own channel header, read 30 August 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
36s
Average length
7s

Measured directly from 5 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

39 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 61.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2461.5%
👍717.9%
🔥410.3%
👎25.13%
👏25.13%

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 18 of the 25 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 39reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 13 August 2026 to 29 August 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
2
across the posts below
Posts paid on
1
of 25 we hold a reading for · 4%
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 25 most recent posts we hold for this entry, published 13 August 2026 to 29 August 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

29 Aug 2026, 14:14 UTC254 viewsread 30 August 2026
Photo

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_5322417266

29 Aug 2026, 14:14 UTC259 views1 reactionsread 30 August 2026
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📊 4条车评,综合分 9.5 好评 100% | 人照 9.3 | 服务 9.6 中评 0% | 颜值 9.6 | 态度 9.4 差评 0% | 身材 9.8 | 环境 9.2 👆 【点击查看评价】 【成都研究所精选车库】 【花名】 #亦可 【车牌】@yike816016 【地址】#玉林路 【标签】 #武侯区 #御姐 #无纹身 #颜值车 【硬件】年龄25岁。人照9.5分,颜值高,皮肤洁白无纹身,165,90左右,全身无一丝赘肉 【软件】菜单上的都有,无蛇有69 【课费】 8p 12pp #8/12 【优惠】无 【验证】#已验证 【综合评分】8.6 特别提示 老师自聊速度慢,小区非常安全。人照满分,高度一致,肤白貌美,不可多得的高颜值服务车。 #详细介绍请查看下面评论 【内部折扣】内部群享受5️⃣折福利 【联系上榜】 @yanjiusuobg_bot ─────

👎1

28 Aug 2026, 23:57 UTC497 viewsread 30 August 2026
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【成都研究所车库】 【花名】 #Mia米娅 【车牌】 @Mia03558 【地址】 #大观(后期会变化) 【标签】 #成华区 #少妇车 #态度车 #大长腿 #女友感 #态度车 (自己看标签) 【硬件】f,175,25,皮肤正常肤色,胸f非常大,有一点点下垂,bb很嫩,人工白虎,包裹感强,无纹身 (有无纹身) 【软件】蛇,口,舔胸,胸推,耳边调情,陪洗具体看菜单 【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 , 硬件 :9,综合 8.5 【特别提示】 优:人照8分,胸大态度较好,有女友感 #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 ──────────── 联系我 :@mia03558 本人报告 0

28 Aug 2026, 13:59 UTC546 views1 reactionsread 30 August 2026
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成都研究所车库】 【花名】 #安妮 【车牌】 @anni0213 【地址】 #红牌楼(后期会变化) 【标签】 #武侯区 #御姐车 #态度车 #大长腿 #女友感 【硬件】b,174,96, 【软件】陪洗 口 三件套具体看菜单 水中萧 【课费】 #7 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】:软件8.8, 硬件 :8.6,综合 8.6 【特别提示】 优:老师人照一致8.5分美女,长相青春,服务做起来比较认真,日感反馈真实 其他:妹子情绪价值拉满,态度很好,服务什么的做起来也很好,很认真 就是床太软了,不是很合适 #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 ──────────── 联系我 :@anni0213 本人报告 0

1

28 Aug 2026, 06:39 UTC616 views1 reactionsread 30 August 2026
Photo

【成都研究所车库】 【花名】 #理理 【车牌】 @LiLi588o 【地址】 #晋吉北路 【标签】 #武侯区 #嫩妹车 #大长腿 #排骨精 【硬件】172,20,皮肤白,胸b掌中宝,很软,bb普通颜色 稍微粉一点,毛有点多 没有刮过,有包裹感,身上腿上有大面积纹身 【软件】洗澡 蛇 69 【课费】800/50 1300/90 #8/13 【优惠】无 【验证】 查看报告 【综合评分】:软件8.5, 硬件: 8.8,综合8.7 【特别提示】 优:颜值高,个子高,大蟒蛇不错。 缺:有点瘦了,排骨精,说话比较少 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】 @yanjiusuobg_bot ──────────── 联系我 :@lili588o 本人报告 0

1

27 Aug 2026, 17:03 UTC712 views1 reactionsread 30 August 2026
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【成都研究所车库】 【花名】 #晓晓 【车牌】 @qm66268 【地址】 #东郊记忆 【标签】 #东郊记忆 #嫩妹车 #态度车 #女友感 #萝莉 【硬件】163,18岁,皮肤小麦色,胸C挺拔,bb很嫩,很好看,包裹感非常强 (有纹身) 【软件】口,69,爱爱 【课费】700p/50min 1200p/90min #7/12 【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】 老师是新人嫩妹,非常年轻非常嫩,bb很粉无异味,穴非常紧致,夹的鸡儿疼,口活很好,非常舒服。喜欢吃嫩妹的可以冲。 #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 ──────────── 联系我 :@qm66268 本人报告 0

1

26 Aug 2026, 16:55 UTC811 views0 reactionsread 29 August 2026

各位同学请注意⚠️、 @xiaoyu201500 这个老师存在骗定、老师虽然早已经不在我们群上榜了、但是遇到骗定并找到我们群、这个事情群组也会对同学进行提醒、避免同学们踩坑

24 Aug 2026, 06:28 UTC≈1,250 views2 reactionsread 29 August 2026
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【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

2

24 Aug 2026, 06:25 UTC≈1,010 views0 reactionsread 28 August 2026
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【成都研究所车库】 【花名】 #小柒 【车牌】 【地址】 #天府五街周边 【标签】 #高新区 #态度车 #大长腿 #御姐 #女友感 #服务车 #态度车 (自己看标签) 【硬件】169,27,皮肤正常黄,胸B,小蝴蝶,包裹感强 无纹身, 【软件】 a面 按摩 三件套具体看菜单 【课费】600/50 900/90 #6/9 【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】 优:老师人照8分,大长腿,自带情趣内衣、丝袜、高跟鞋,态度非常好,服务也很好,很敏感,很骚。 缺:浅吻 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】 @yanjiusuobg_bot

23 Aug 2026, 09:04 UTC956 viewsread 28 August 2026
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【成都研究所精选车库】 【花名】 #朵朵 【车牌】 @CDxiyao777 【地址】#金融城 【标签】 #高新区 #御姐 #服务车 #态度车 #大长腿 【硬件】166 92 c 【软件】蛇 dl 深喉 菜单上都有 【课费】 900p 1400pp #9/14 【优惠】无 【验证】 查看报告 查看报告二 【综合评分】8.6 【特别提示】 御姐型老师,服务很扎实,有制服,配丝袜很好 #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

21 Aug 2026, 02:41 UTC≈1,190 views1 reactionsread 26 August 2026
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【成都研究所车库】 【花名】 #艾丽 【车牌】 @aili_sky 【地址】 #望丛祠 【标签】 #郫都区 #态度车 #大长腿 #御姐 #毒龙 #排骨精 #服务车 (自己看标签) 【硬件】163cm,45kg,无纹身皮肤白,胸C,户型🦋,紧包裹感强 【软件】鸳鸯浴,按摩,指划,胸推,DL,深喉,爱爱 【课费】600p/50 1000pp/90 #6/9 【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】 优:服务车,态度好,人照8分,冷白皮,排骨精,大长腿,毒龙小舌头使劲往里钻,值得体验,口技了得,深喉一绝,可惜🐻是科技 #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

1

Showing the 12 most recent of 25 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

Citation-graph rank

Citation-graph rank — 623,680 of 1,626,935entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“成都 研究所车库已验证” (@c066i), 33,783 subscribers as measured 30 August 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.