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Channel

成都阿良之95-98会所

@cdaliang

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

11,432subscribers

+75 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-1001988406716
TypeChannel
Username@cdaliang
Created26 September 2023measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/cdaliang

Growth

11,35711,44611,401.56 August 2026 — 11,357 subscribers7 August 2026 — 11,366 subscribers8 August 2026 — 11,387 subscribers9 August 2026 — 11,393 subscribers10 August 2026 — 11,403 subscribers11 August 2026 — 11,395 subscribers12 August 2026 — 11,413 subscribers14 August 2026 — 11,431 subscribers15 August 2026 — 11,435 subscribers16 August 2026 — 11,446 subscribers17 August 2026 — 11,432 subscribers11,4326 August 202617 August 2026
11 measurements spanning 11 days, net +75. 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 11,344–11,459 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 22:1311,432-14
16 Aug 2026, 21:4411,446+11
15 Aug 2026, 14:0511,435+4
14 Aug 2026, 00:1511,431+18
12 Aug 2026, 15:4411,413+18
11 Aug 2026, 12:5311,395-8
10 Aug 2026, 13:4811,403+10
9 Aug 2026, 16:0211,393+6
8 Aug 2026, 18:2011,387+21
7 Aug 2026, 19:1711,366+9
6 Aug 2026, 20:1811,357first reading

Engagement

14 posts held, back to 26 September 2023the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.2%
avg views ÷ 11,432 subscribers
Avg views / post
3,570
13 posts measured
Reaction rate
0.156%
reactions ÷ views · ER floor
Posts in window
13
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 9 of 13 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 (26 September 202315 August 2026)
Views total46,369
Reactions total51
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 20:53 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
46s
Average length
7s

Measured directly from 7 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

51 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 92.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4792.2%
🔥23.92%
👍11.96%
👏11.96%

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 51reactions 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 26 September 2023 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.

Recent posts

15 Aug 2026, 06:46 UTC929 views1 reactionsread 17 August 2026
Video

🤘🫰成都市区,和天府新区,有我们自己的内部高端半套,服务一流,颜值在线,可免费泡澡,提供免费餐饮,具体位置,价格私发您👍👍 📣📣成都半套: 武侯王府井,青羊区成飞大道,成华建设路,双流东升,青羊区八宝街,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。郫县,大丰,崇州,简阳 📣📣成都全套: 武侯区望江街道,华阳天府六街,成华东郊记忆,市中心339,成都成华奥园,天府三街,双流航空港,青羊区,成华区339,华阳牧华路, 🔊🔊成都全套大海选: 青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 客户评价: https://t.me/aliangdechngdu 🔊🔊:请多看频道置顶内容👌👌 电报:@vip159s 双向:@Aliang66_bot

1

Signed 阿良

14 Aug 2026, 09:28 UTC≈1,200 views0 reactionsread 17 August 2026
Video

🤘🫰成都市区,和天府新区,有我们自己的内部高端半套,服务一流,颜值在线,可免费泡澡,提供免费餐饮,具体位置,价格私发您👍👍 📣📣成都半套: 武侯王府井,成华建设路,双流东升,青羊区八宝街,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。郫县,大丰,崇州,简阳 📣📣成都全套: 武侯区望江街道,华阳天府六街,成华东郊记忆,市中心339,成都成华奥园,天府三街,双流航空港,青羊区,成华区339,华阳牧华路, 🔊🔊成都全套大海选: 青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 客户评价: https://t.me/aliangdechngdu 🔊🔊:请多看频道置顶内容👌👌 电报:@vip159s 双向:@Aliang66_bot

Signed 阿良

11 Aug 2026, 08:13 UTC≈1,950 viewsread 17 August 2026
Video

🤘🫰成都市区,和天府新区,有我们自己的内部高端半套,服务一流,颜值在线,可免费泡澡,提供免费餐饮,具体位置,价格私发您👍👍 📣📣成都半套: 武侯区南站,武侯王府井,青羊区万达广场,成华建设路,双流东升,青羊区八宝街,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。郫县,大丰,崇州, 📣📣成都全套: 武侯区望江街道,华阳天府六街,成华东郊记忆,市中心339,成都成华奥园,天府三街,双流航空港,青羊区,成华区339,华阳牧华路, 🔊🔊成都全套大海选: 青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 客户评价: https://t.me/aliangdechngdu 🔊🔊:请多看频道置顶内容👌👌 电报:@vip159s 双向机器人:@Aliang66_bot

Signed 阿良

9 Aug 2026, 08:16 UTC≈2,670 viewsread 17 August 2026
Sticker

Sticker, posted without a caption

Signed 阿良

7 Aug 2026, 06:19 UTC≈3,260 views5 reactionsread 17 August 2026
Photo

📣📣成都半套: 武侯区南站,武侯王府井,青羊区万达广场,成华建设路,双流东升,青羊区八宝街,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。郫县,大丰, 📣📣成都全套:武侯区望江街道,华阳天府六街,成华东郊记忆,市中心339,成都成华奥园,天府三街,双流航空港,青羊区,成华区339, 🔊🔊成都全套海选:青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 🔊🔊:请多看频道置顶内容👌👌 电报:@vip159s 双向机器人:@Aliang66_bot

5

Signed 阿良

4 Aug 2026, 07:03 UTC≈3,870 views3 reactionsread 17 August 2026
Video

📣📣成都半套: 武侯区南站,武侯王府井,青羊区万达广场,成华建设路,双流东升,青羊区八宝街,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。郫县, 📣📣成都全套:华阳天府六街,成华东郊记忆,市中心339,成都成华奥园,天府三街,双流航空港,青羊区,成华区339, 🔊🔊成都全套海选:青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 🔊🔊:请多看频道置顶内容👌👌 电报:@vip159s 双向机器人:@Aliang66_bot

3

2 Aug 2026, 08:24 UTC≈4,210 views7 reactionsread 17 August 2026
Video

📣📣成都半套: 武侯区南站,武侯王府井,青羊区,双流东升,青羊区八宝街,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。郫县, 📣📣成都全套:华阳天府六街,市中心339,成都成华奥园,天府三街,双流航空港,青羊区,成华区339, 🔊🔊成都全套海选:青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 电报:@vip159s 双向机器人:@Aliang66_bot

7

31 Jul 2026, 08:34 UTC≈4,710 viewsread 17 August 2026
Video

📣📣成都半套: 武侯区南站,青羊区,双流东升,青羊区八宝街,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。郫县, 📣📣成都全套:华阳天府六街,市中心339,成都成华奥园,天府三街,青羊区,成华区339, 🔊🔊成都全套海选:青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 电报:@vip159s 双向机器人:@Aliang66_bot

30 Jul 2026, 08:39 UTC≈5,060 views3 reactionsread 17 August 2026
Video

📣📣成都半套: 双流东升,新都,华阳,双流龙桥,双流双楠,华阳四河,华阳嘎拉,龙泉大面,双流海滨城,双流航空港,武侯区南站,成华区衫板桥,青羊区天府广场。 📣📣成都全套:华阳天府六街,市中心339,成都成华奥园,天府三街, 🔊🔊成都全套海选:青羊区海选,价格1500.1700.1900(都是啪啪两次,服务一样妹子不同)相当于外围的中圈,中大的水平。 电报:@vip159s

3

30 Jul 2026, 07:04 UTC≈4,810 views8 reactionsread 17 August 2026

🥳🥳🥳成都全区会所,半套全套攻略 ①.关于半套: 半套会所价格参差不齐,460-620、500-650、550-680 基本这几种价格.其价格差距体现在(环境.地段.运营成本上)质量是差不多的.。价格 和质量没有特别大的关系) 750、800、900、1000 这些价格越高的店子就越是体现店子环境和质量了 ②.成都会所的服务:在管理、不在技师 (技师流动性很大,每个会所也需要流动性来增加活力)好的会所,技师做不好服务 是会被罚款的.) ③.关于照片: 技师提供照片大多精修过,遮脸、美颜、滤镜、甚至假照(更多的是不愿意)技师也 有朋友家人,妹子大多数成都周边的,害怕亲戚朋友看见。在人人美颜的时代(现场选,最可靠) 本人从不主动推荐提前约技师,怕你约定的时间不能及时到,每个喜欢的口味不一样,推荐的妹子你看不上妹子白等你半个小时,或则你白等半个小时,得罪人。 如果你有熟悉的技师,我可以

7👏1

30 Jul 2026, 07:04 UTC≈4,260 viewsread 17 August 2026

😳本人从事会所生意七年.从会所服务员提鞋子,到开始开店.再到生意倒闭.然后重新开始做中介.我和其他中介的区别😳 1、解决客户痛点,可以推荐成都(少踩坑)客人评价高的会所。 2、实时更新成都各区域的会所动态,本人推荐的会所都是不办卡,一次性消费,技师 选满意再消费。 3,我推荐的会所一定是靠谱,环境一定不是脏乱差的环境,服务一定是培训过,不偷钟。 所以请各位狼友放心出击 喜欢会所服务的😳请联系阿良! 喜欢海选模式的😳请联系阿良! 喜欢超高颜值的😳请联系阿良! 🚓🚑🚒🚐🛻 😳靠谱客服:@VIP159s 🤖双向联系:@Aliang66_bot 😝🤩😜🤪本频道为成都修车靠谱推荐频道,请放心消费

30 Jul 2026, 07:03 UTC≈4,680 views9 reactionsread 17 August 2026

全套半套服务内容菜单 😀😀半套套餐1️⃣ 【经典流程留底半 luo】【不带 tao 零距离接触直接 S 嘴⾥】 【⼝⼀次,⼿⼀次】 【mm 伺候沐浴】【床边服务】【经络按摩】【指滑】【过⽔】【漫游】【胸莎】【⼝ 痧】【胸 tui】 【360 度⼤旋转】【tiao 情】【添蛋】【⼗指弹琴】【吹箫九式】 【服务流程饱满,60 分钟绝对做满】 😀😀半套套餐2️⃣ 【服务流程全 luo 不留底】 【不带 tao 零距离⼝直接 S 嘴⾥】 【⼝两次】【丝袜免费】 【mm 伺候沐浴】【床边服务】【经络按摩】【丝袜】【制 fu】【情趣】【过⽔】【漫 游】【胸莎】【⼝痧】 【胸 tui】【tiao 情】【添蛋】【⼗指弹琴】【猛⻁下⼭】【du ⻰】【360 度⼤旋转】【吹箫九式】【yin 推】 【服务流程饱满,80分钟绝对做满】 😀😀全套套餐1️⃣ 60分钟,做⼀次,有的可以⼝⼿辅助⼀次 服务内容:调情吹,胸 推,T 推,过⽔漫游,⼝

9

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

@cdaliang 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
13 August 2026
Most recent edit
13 August 2026

Citation-graph rank

Citation-graph rank — 622,373 of 1,548,671entries 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.

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

“成都阿良之95-98会所” (@cdaliang), 11,432 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/cdaliang.

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.