【成都修车】天府一街 梦小乔 痴颜录 出击报告 【妹子花名】:#梦小乔 【联系方式】:@SHUNL7 【验证留名】:#痴颜 【所在位置】:#天府一街 【修车水费】:800P/1200PP 【硬件水平】:大熊御姐,腿长比例好,有点台妹风 【软件】:见课表,服务熟练细致,态度好,配合度很高 【机车行为】:无 【体验总结】:人照8.5分,御姐范十足,身材匀称比例好,皮肤光滑,腿长直,真熊无科技。情绪价值到位,进门就很亲切主动,房间很有暧昧感,不催不赶,帮脱帮洗,水中萧。服务很多,全身漫游,👅🥚,正面毒龙,阴推,骚气十足。口活各种角度舔含,眼神魅惑。户型干净美丽,昆感一绝,第一次体验到波浪型的包裹感,又湿又紧,哪怕进入之后不动也能感受到波动感。主动索吻,骚话不断,可大蟒蛇,配合度高,体验感棒。服务控氛围控御姐控福音。 Ps: 本频道仅供记录,纯属个人主观感受,好坏自判,请自行参考。 成都 · 《痴颜录》: @CDC…

Channel
成都修车 · 《痴颜录》 备用频道
@CDChiYanLog
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,318subscribers
+30 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003840172471 |
|---|---|
| Type | Channel |
| Usernames | @CDChiYanLog @chiyanlog |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/CDChiYanLog |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 13:09 | 1,318 | no change |
| 13 Aug 2026, 11:17 | 1,318 | +15 |
| 10 Aug 2026, 19:15 | 1,303 | no change |
| 10 Aug 2026, 10:07 | 1,303 | +12 |
| 8 Aug 2026, 03:17 | 1,291 | +1 |
| 7 Aug 2026, 22:33 | 1,290 | no change |
| 7 Aug 2026, 19:15 | 1,290 | +2 |
| 7 Aug 2026, 13:31 | 1,288 | no change |
| 7 Aug 2026, 13:30 | 1,288 | first reading |
Engagement
4 posts held, back to 7 July 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 54.4%
- avg views ÷ 1,318 subscribers
- Avg views / post
- 717
- 3 posts measured
- Reaction rate
- 0.21%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 4 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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 4 (7 July 2026 – 5 August 2026) |
| Views total | 2,150 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 22:33 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
- Video runtime
- 5s
- Average length
- 5s
Measured directly from 1 video 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
5 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 100.0% |
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 3 of the 4 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 7 July 2026 to 5 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.
Recent posts
【成都修车】天府一街 亚纶 痴颜录 出击报告 【妹子花名】:#亚纶 【联系方式】: 【验证留名】:#痴颜 【所在位置】:#天府一街 【修车水费】:700P/1100PP 【硬件水平】:港风轻熟御姐 🐻D微科技 腿长比例好 【软件】:见课表,浴室调情有点东西,可69,但个人不喜欢没做 【机车行为】:无 【体验总结】:人照八分,年龄可能28左右,颜值气质有点早期港姐的味道。身材匀称皮肤光滑,一进门就充满了暧昧氛围,浴室调情带着泡泡臀推阴推耳语,接着水中萧,容易在浴室就顶不住。主动换上战袍,服务很多,指滑全身酥麻,👅全身漫游,👅🥚,各种角度欣赏口活,手法很好,服务细致,不喊停不停。昆感湿紧,水多,会夹,容易秒,骚话不断,主动索吻,可大蟒蛇,配合度高,体验感好。 Ps: 本频道仅供记录,纯属个人主观感受,好坏自判,请自行参考。 成都 · 《痴颜录》: @CDCChiYanLog
❤1
【妹子花名】:#尤妮 【联系方式】:@xml0606 【验证留名】:#痴颜 【所在位置】:#天府三街 【修车水费】:800P/1200PP 【硬件水平】:网红颜值 🐻B 比例匀称屁股翘 【软件】:见课表,可69,但个人不喜欢没做 【机车行为】:无 【体验总结】:人照八分,颜值挺高,我还专门搜了一下迅猛龙,确实有几分神似。脸小五官精致,又嫩又御,身材匀称,皮肤光滑,屁股有肉,有小片纹身在肩背,锁骨有点洗纹身留下来的痕迹,不影响观感。在床上头发撒开十分妩媚,侧颜十分顶,在床上发差很大,🐻推臀推指滑舔🥚舔🐻,各个角度口,嘴里一直骚话不断。可以浅吻,昆感紧湿热,反馈不停,dirty talk贯穿了。床上的情绪价值很强,配合度高。 Ps: 本频道仅供记录,纯属个人主观感受,好坏自判,请自行参考。 成都 · 《痴颜录》: @CDCChiYanLog
❤3
#互推 可能是重庆最自由的群 https://t.me/cqcdbureau 可能是重庆最活跃的频道 https://t.me/+MWOnej_9F-I5NTFl 白嫖抽奖中!
❤1
Showing the 4 most recent of 4 posts we hold for @CDChiYanLog. 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.
Citation-graph rank
Citation-graph rank — 163,102 of 1,480,688entries 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 2 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“成都修车 · 《痴颜录》 备用频道” (@CDChiYanLog), 1,318 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/CDChiYanLog.
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.