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Channel
成都车评•浣花缘
@chengducheping
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,932subscribers
-196 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002259811082 |
|---|---|
| Type | Channel |
| Usernames | @CDtanhua @chengducheping |
| Created | Between 1 October 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/chengducheping |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 09:37 | 11,932 | +33 |
| 3 Sept 2026, 16:41 | 11,899 | +6 |
| 3 Sept 2026, 13:58 | 11,893 | +45 |
| 2 Sept 2026, 10:13 | 11,848 | no change |
| 2 Sept 2026, 08:36 | 11,848 | +170 |
| 1 Sept 2026, 12:58 | 11,678 | no change |
| 1 Sept 2026, 05:25 | 11,678 | +5 |
| 31 Aug 2026, 11:12 | 11,673 | +22 |
| 31 Aug 2026, 05:12 | 11,651 | +24 |
| 30 Aug 2026, 08:54 | 11,627 | +16 |
| 30 Aug 2026, 02:36 | 11,611 | -15 |
| 29 Aug 2026, 12:05 | 11,626 | +18 |
| 29 Aug 2026, 01:04 | 11,608 | -46 |
| 28 Aug 2026, 10:34 | 11,654 | -139 |
| 27 Aug 2026, 23:33 | 11,793 | -254 |
| 27 Aug 2026, 10:53 | 12,047 | +23 |
| 27 Aug 2026, 00:18 | 12,024 | no change |
| 26 Aug 2026, 10:32 | 12,024 | -29 |
| 26 Aug 2026, 03:01 | 12,053 | -91 |
| 25 Aug 2026, 07:02 | 12,144 | first reading |
Engagement
14 posts held, back to 30 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 47 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.68%
- avg views ÷ 11,932 subscribers
- Avg views / post
- 916
- 10 posts measured
- Reaction rate
- 0.448%
- reactions ÷ views · ER floor
- Posts in window
- 10
- 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 6 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 14 (30 July 2026 – 2 September 2026) |
| Views total | 9,159 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 23:35 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
- 1m 07s
- Average length
- 11s
Measured directly from 6 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
31 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 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 9 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 31 reactions 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 30 July 2026 to 2 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.
Recent posts
成都半套 全套工作室 主打性价比 酒店式公寓,私密 靠谱 无套路 无隐藏消费 多年老场子 值得信赖 欢迎各位大佬们 #半套 #全套 #工作室 预约号 @anqin77 频道:https://t.me/anqin398
❤1
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 【成都浣花缘|课程信息卡】 🌸 花名:#婷婷 🆔 编号:HHY065 📞 联系方式:@TingTingya6 🎓 课时 / 课费:600/50分钟 1000/90分钟 #6/10 📍 开课地址:#成华区 #昭觉寺 🔎 检索标签:#嫩妹车 #态度车 #女友感 #敏感车 #代聊 #6P #大蟒蛇 🖥 软硬件点评:婷婷年龄18岁,身高160体重105,人照相似度9分,服务有三件套、大蟒蛇、69,颜值精致的嫩妹,热情迎接会聊天,做过团播情绪价值高,身材匀称属于有肉不胖,皮肤较白手感光滑一处小纹身,胸B乳头乳晕小粉褐色手感软弹,凤冠穴颜色粉嫩毛量正常,女上体力算很好的嫩妹了,水多挺紧爱爱敏感反馈好 ⭐ 特别提示:颜值不错的嫩妹,热情情绪价值高,爱爱敏感配合 🎁 优惠情况:积分商城兑换优惠券 如有补充或更正,欢迎大家留言指正 讨论群…
❤9
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📊 2条车评 写报告 好评 100% 中评 0% 差评 0% 【成都浣花缘|课程信息卡】 🌸 花名:#棠棠 🆔 编号:HHY064 📞 联系方式:下牌 🎓 课时 / 课费:700/50分钟 1300/90分钟 #7/13 📍 开课地址:#武侯区 #石羊场 🔎 检索标签:#御姐车 #颜值车 #身材车 #女友感 #态度车 #自聊 #7P #大奶 🖥 软硬件点评:棠棠年龄24岁,身高165体重98斤,服务有三件套、大蟒蛇、69、深喉、舔胸,虽然露脸照不多但是本人网红脸颜值极高,态度好很健谈不冷场,身材苗条前凸后翘属于细枝硕果,正常肤色手感紧致光滑有几处小纹身,天然大D挺拔乳头小乳晕稍大,粉褐色手感软弹,蝴蝶浅褐色毛量正常,水多较紧比较敏感容易高潮,爱爱反馈好主动大蟒蛇,属于是颜值身材情绪价值都在线的御姐,六边形战士没有短板 ⭐ 特别提示:颜值属于网红脸,身材大奶细致硕果,情绪价值到位,属于六边形御姐…
❤13
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❤3
📊 1条车评 写报告 好评 100% 中评 0% 差评 0% 【成都浣花缘|课程信息卡】 🌸 花名:#阮棠 🆔 编号:HHY063 📞 联系方式:@RTAAAG 🎓 课时 / 课费:600/60分钟 900/90分钟 #6/9 📍 开课地址:#武侯区 #天府二街 🔎 检索标签:#御姐车 #自聊 #6P #大蟒蛇 #感觉车 #态度车 🖥 软硬件点评:阮棠年龄25岁,身高162体重92斤,人照相似度9分,服务有三件套、水中萧、大蟒蛇、69、制服、舔胸,人照一致的御姐,态度好一口一个宝宝热情不冷场,主动亲亲感觉到位,身材匀称无明显赘肉,皮肤白手感光滑细腻无纹身,胸B乳头正常大小无乳晕,颜色粉手感柔软,蝴蝶粉褐色毛量正常,水多较紧爱爱敏感容易高潮 ⭐ 特别提示:颜值耐打的御姐,主动亲亲感觉拉满 🎁 优惠情况:积分商城兑换优惠券 如有补充或更正,欢迎大家留言指正 讨论群组 @CDhuanhuayua
❤2
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 【成都浣花缘|课程信息卡】 🌸 花名:#莉娅 🆔 编号:HHY062 📞 联系方式:@Aria_7 🎓 课时 / 课费:800/50分钟 1300/90分钟 #8/13 📍 开课地址:#成华区 #驷马桥 🔎 检索标签:#御姐车 #大奶 #女友感 #代聊 #身材车 #8P #白虎 #大蟒蛇 🖥 软硬件点评:莉娅年龄22岁,身高175,体重100斤,人照相似度8.8分,服务有三件套、大蟒蛇、69、毒龙、制服,颜值还不错的新疆御姐,异域风情身材高挑算是细枝硕果,挺健谈体贴的女友感好,态度好会问喜欢什么服务穿什么制服,身材匀称没有明显赘肉,皮肤白手感光滑手臂有些纹身,胸C乳头乳晕正常大小,粉褐色手感柔软,蝴蝶脱毛人工白虎,粉褐色水量适中很紧,爱爱反馈自然主动大蟒蛇 有反差感喜欢看片一起做 ⭐ 特别提示:颜值还不错的新疆御姐,异域风情…
❤2
✈️成都会所半套全套海选✈️ 🥇成都会所 半套 全套 海选🥇 🐉不办卡不充值 没有隐形消费🐉 👎成都100家门店 👎 ✈️提供位置就近安排 全城预约安排✈️ 半套 均价500~700(明码标价具体咨询客服》 全套 均价1000~1500《明码标价具体咨询客服》 预约客服 @FD3111BOT 营业中🌈 半套全套:#青羊,#武侯、#双流,#龙泉,#新都,#郫县,#温江,,#青白江。 🈺业时间:中午2:00-凌晨4:00 💋半全套 海选 极致服务 情人式服务: 裸吹/共浴/丝袜/按摩 口·真颜值/商素庆/直度配合 丝袜 制服 鸳鸯戏水 配合度拉满 气质大牌 形象极佳 谈吐优雅 举止大方 微信: FC19595 微信:kefuyy8866 QQ: 502056374 永久TG客服 @KouBaoHuiSuo(口爆会所) ①会所频道 @ly1351 ②会所频道 @shaokaoo 成都会所—修车觅蚌交流群 https://t.me
📊 0条车评 写报告 好评 0% 中评 0% 差评 0% 【成都浣花缘|课程信息卡】 🌸 花名:#碧瑶 🆔 编号:HHY061 📞 联系方式:@biyaojiejie 🎓 课时 / 课费:800/50分钟 1300/90分钟 📍 开课地址:#武侯区 #大源 🔎 检索标签:#御姐车 #身材车 #代聊 #8P #服务车 🖥 软硬件点评:碧瑶年龄25岁,身高165,体重88斤,人照相似度8.5分,服务有三件套、毒龙、69、舌吻、舌漫AB面,颜值耐看的御姐,热情健谈态度好,身材苗条无赘肉,皮肤白手感光滑无纹身,胸B乳头乳晕小且粉,挺拔手感软弹,蝴蝶粉褐色毛量少,水多挺紧爱爱主动,主动收缩和索吻,总体感觉爱爱很热烈主动 ⭐ 特别提示: 颜值耐看身材好皮肤白的御姐服务车,爱爱主动而热烈,就是价格偏高 🎁 优惠情况:积分商城兑换优惠券 如有补充或更正,欢迎大家留言指正 讨论群组 @CDhua
❤1
Showing the 12 most recent of 14 posts we hold for @chengducheping. 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.
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.
@CDhuanhuayuan · 22,0216 posts成都(四川)修车觅蚌交流
@CHDKTV · 5,5672 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,652,9562 posts🥇成都半套❗️成都全套❗️成都会所
@ly1351 · 6,3652 posts🥇成都会所-成都半套-成都口爆
@shaokaoo · 6,7172 posts成都半套/全套安沁工作室
@anqin398 · 1,1991 post成都倾慕私影女仆mmk
@cdmmwmmk · 5,2221 post成都重庆商K 真空场游戏场 摸摸唱 换装场
@CDYL003 · 3,1661 post夜色梦巴黎(工作室)
@mengbali521 · 9951 post
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“成都车评•浣花缘” (@chengducheping), 11,932 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/chengducheping.
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.