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Channel

成都修车 · 《痴颜录》

@ChiYanDairy

2 usernames

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

13,096subscribers

+138 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002822817991
TypeChannel
Usernames@cdcchiyanlog @ChiYanDairy
Description成都修车真实日记频道 | 痴颜录出击报告 专注成都靠谱外围、会所、老师真实体验分享。 覆盖金融城、天府三街、天府一街等热门区域。 提供详细硬件软件评价、价格参考、修车避坑指南。 仅供个人主观记录,好坏自判。 备用频道:@ChiYanLog 成都狼友交流欢迎,真实可靠第一!
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/ChiYanDairy

Growth

12,95813,09613,0277 August 2026 — 12,958 subscribers8 August 2026 — 12,973 subscribers8 August 2026 — 12,992 subscribers9 August 2026 — 13,001 subscribers9 August 2026 — 12,995 subscribers10 August 2026 — 13,002 subscribers10 August 2026 — 13,006 subscribers11 August 2026 — 13,019 subscribers11 August 2026 — 13,027 subscribers12 August 2026 — 13,033 subscribers12 August 2026 — 13,051 subscribers13 August 2026 — 13,060 subscribers13 August 2026 — 13,061 subscribers14 August 2026 — 13,089 subscribers14 August 2026 — 13,096 subscribers7 August 202614 August 2026
15 measurements spanning 7 days, net +138. 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 12,937–13,117 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:5613,096+7
14 Aug 2026, 10:2713,089+28
13 Aug 2026, 11:5813,061+1
13 Aug 2026, 00:0313,060+9
12 Aug 2026, 14:4813,051+18
12 Aug 2026, 00:1213,033+6
11 Aug 2026, 12:4313,027+8
11 Aug 2026, 00:2213,019+13
10 Aug 2026, 09:3713,006+4
10 Aug 2026, 02:5213,002+7
9 Aug 2026, 09:5312,995-6
9 Aug 2026, 02:2113,001+9
8 Aug 2026, 10:5712,992+19
8 Aug 2026, 00:5112,973+15
7 Aug 2026, 13:3012,958first reading

Engagement

14 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
34.1%
avg views ÷ 13,096 subscribers
Avg views / post
4,460
14 posts measured
Reaction rate
0.063%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 10 of 14 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 15 August 2026
Posts held14 (21 July 202615 August 2026)
Views total62,429
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 11:57 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
258
Videos
21
Links
30

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
25s
Average length
8s

Measured directly from 3 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

37 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 91.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3491.9%
🤝38.11%

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 10 of the 14 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 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 21 July 2026 to 15 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
20
across the posts below
Posts paid on
2
of 14 we hold a reading for · 14%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ChiYanDairy. 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 14 most recent posts we hold for this entry, published 21 July 2026 to 15 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

14 Aug 2026, 07:27 UTC≈1,610 views1 reactionsread 15 August 2026
Photo

【妹子花名】:#洛雪 【联系方式】: @luoxue131 【验证留名】:#痴颜 【所在位置】:#天府二街 【修车水费】:800P/1300PP 【硬件水平】:170高妹 身材匀称皮肤光滑 屁股有肉 天然真胸 【软件】:见课表 【机车行为】:无 【体验总结】:人照八分,微科技感,20岁年轻妹妹,穿搭有品味,白裙黑丝,身材匀称,有腹肌,可甜可御,全身很多纹身,老师说都是画着玩的,过三五天就褪色的那种。会找话题,主动热情,陪洗有点用力,转到床上很骚气,老师说是喜欢做才干这行。口无齿感,容易流水,昆感水多湿滑热暖,女上全自动,传教士会夹,后入翘臀好看,可蟒蛇,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

12 Aug 2026, 05:26 UTC≈4,370 views2 reactionsread 15 August 2026
Photo

【妹子花名】:#阮雪 【联系方式】: @Ayy52088888 【验证留名】:#痴颜 【所在位置】:#天府二街 【修车水费】:800P/1300PP 【硬件水平】:越南美女御姐 🐻D 腿长 苗条匀称 【软件】:见课表,事后还有小按摩 【机车行为】:无 【体验总结】:人照8.5分,真人气质御姐,实际状态跟照片基本没什么太大差别。身材苗条,妆容精致,硬件能打,大D,线条流程,比例好,皮肤光滑。服务互动感好,配合度高,大蟒蛇满足,深喉给力,不催不赶。反馈真实强烈,屁股又翘又弹,背枪体验拉满。结束之后还会安排按摩,整体情绪价值到位。有一点提前说一下,老师是越南人,中文只能听懂一些简单的,所以交流的时候最好提前准备个翻译软件,不然有些话确实不太好沟通。如果想拍小视频的话最好提前跟老师说清楚,得到同意再拍。总之,颜值、身材和服务都比较在线。 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

2

6 Aug 2026, 03:58 UTC≈6,130 views2 reactionsread 15 August 2026
Video

💎红楼阁——高端会所💎 🌟主营-95半套-98全套-98海选 ❤️高端全套大海选 一排一排的选 氛围感拉满 选满意在玩【质量相当于有外围中圈和中大圈】 ✅自家高端95半套店 不冲卡 单次消费 没有隐形消费 高质量 服务有保障 每天在线30➕选满意在消费 有免费小吃 泡澡 凌晨后可留宿 ❤️全城也可以给你安排 高端95半套-98全套 会所宗旨:诚信经营服务至上、让你乘兴而来满意而归 📣狼友评价:@BBmOGY9 📛🫠🫠🫠:@BmOGY9 📛😪🫠🤗:@MBmOGY9 ✈️ : @aofeng567 🤖 : @CDHonglou_bot 😀😃😄😆

2

5 Aug 2026, 06:41 UTC≈5,410 views8 reactions10 Starsread 15 August 2026
Photo

【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

5🤝3

4 Aug 2026, 10:50 UTC≈4,340 views9 reactions10 Starsread 13 August 2026

🗓️ 成都 · 《痴颜录》2026年 6月 7月 #月度出击总结 统计周期: 2026.05.25 — 2026.08.04 “哪怕前路有坑,也要用脚步丈量出新的绿洲。” 🍭 【女友系老师】 🏆 T0 | #苏乔晚( #心岛 ): 神颜美少女、眼神拉丝、情绪价值拉满的选手,第三次回锅 🥇 T1 | #沈嘉嘉 ( #天府三街 ):165人工白虎嫩妹儿、前凸后翘服务三件套、日感上佳且配合度不错,紧致水多,女友感比较足 👠 【御姐系老师】 🏆 T0 | #夏亦菲( #天府一街 ):冰山女神,御姐标杆,小颜同志心尖尖,含金量早已无需证明 🏆 T0 | #高以宁( #金融城 ): 天使面孔、魔鬼身材,侧颜顶级,细枝结硕果,硬件Top级别 🥇 T1 | #雪莉( #天府二街 ):冷白皮的绝活御姐、可深喉顶满的同时舔蛋,纯天然D罩杯大奶 🥇 T1 | #曲清吟( #金融城 ):身材比例爆炸好的御姐系老师,经典款大波浪瓜子脸

9

1 Aug 2026, 03:54 UTC≈6,290 views5 reactionsread 13 August 2026
Photo

一篇优秀的出击论文✍️(¬‿¬) #投稿 投稿人:春风 【妹子花名】: #高以宁 【联系方式】: @MrYiNing 【验证留名】: 春风如意醉生梦死 【闺房位置】: #金融城 【修车水费】: 包天 【凶器罩杯】: C 【身高身材】: 167 【硬件】: 容饰精妍,睹之怡目 【软件】: 参考课表 【体验总结】:今得晤高氏以宁,初遥望之,形貌若无奇处。迫而凝睇,方晓其风姿卓然,气韵温润,愈观愈佳。白昼盛妆相赴,珠翠相宜,黛朱精工,容华婉丽,夺目动人;向晚淡敷薄粉,洗尽繁饰,素雅天然,清姿落落,更合吾之所好。相与闲谈之际,举止有度,言辞相契,俯仰应答皆心生欢喜。忆吾平生往来所见佳丽无数,或貌美而性疏,或言浅而无趣,皆不及此人风骨。若以十分衡之,其人可得九分,留一分分寸,不致溢美。此番相逢,始淡后悦,由貌及心,两相投合。世间相逢万千,多是擦肩而过,难得这般舒心契合之遇,静思今日相会点滴,实为一段珍贵佳缘,久久难

5

30 Jul 2026, 04:50 UTC≈5,860 views1 reactionsread 11 August 2026

高以宁老师新号: @MrYiNing 之前的老号上不去了

1

25 Jul 2026, 09:38 UTC≈8,550 views1 reactionsread 11 August 2026

痴颜个人矩阵: 个人账号: @ChiYanBro @MrChiYan (已进行官方购买,用户名永久绑定本人Ton账户) 主力频道: @ChiYanDairy @CDCChiYanLog(已进行官方购买,频道用户名永久绑定本人Ton账户) 备用频道: @CDChiYanLog @ChiYanLog (已进行官方购买,频道用户名永久绑定本人Ton账户) 双向联系: @MrChiYanBot 痴颜小群: https://t.me/+vaQElUT0ydRmMWNi 以上用户名为痴颜本人名下所属,如非以上用户名发送消息,全部视为骗子或盗号!!!

1

Showing the 12 most recent of 14 posts we hold for @ChiYanDairy. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@ChiYanDairy 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
11 August 2026
Most recent edit
11 August 2026

Citation-graph rank

Citation-graph rank — 114,729 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.

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

“成都修车 · 《痴颜录》” (@ChiYanDairy), 13,096 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ChiYanDairy.

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.