今天339服务非常好,人很贴心, 她人太好了所以额外加了四个钟,全程服务非常用心,全程聊天也非舒服,疲惫都全部散了,下次在回锅,体验感超棒

Channel
成都半套樱花俱乐部(爱恋版)
@CDyinghuajlb
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8,504subscribers
+123 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001882580083 |
|---|---|
| Type | Channel |
| Username | @CDyinghuajlb |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/CDyinghuajlb |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 88% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 13:41 | 8,504 | -126 |
| 14 Sept 2026, 20:17 | 8,630 | -201 |
| 11 Sept 2026, 11:38 | 8,831 | +108 |
| 6 Sept 2026, 08:38 | 8,723 | +579 |
| 1 Sept 2026, 15:44 | 8,144 | +139 |
| 29 Aug 2026, 11:08 | 8,005 | +3 |
| 26 Aug 2026, 21:28 | 8,002 | -17 |
| 23 Aug 2026, 22:04 | 8,019 | -47 |
| 19 Aug 2026, 23:17 | 8,066 | -152 |
| 16 Aug 2026, 21:45 | 8,218 | +24 |
| 13 Aug 2026, 10:04 | 8,194 | -287 |
| 10 Aug 2026, 03:30 | 8,481 | +81 |
| 7 Aug 2026, 05:21 | 8,400 | +19 |
| 6 Aug 2026, 20:16 | 8,381 | first reading |
Engagement
64 posts held, back to 11 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 22 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.15%
- avg views ÷ 8,504 subscribers
- Avg views / post
- 268
- 9 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 9
- of 64 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.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 64 (11 July 2026 – 28 August 2026) |
| Views total | 2,409 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 19:17 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.
Reaction mix
187 reactions across 25 posts, in 4 distinct kinds. The most used accounts for 53.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 100 | 53.5% | |
| 🎉 | 30 | 16.0% | |
| 🔥 | 29 | 15.5% | |
| 👍 | 28 | 15.0% |
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 28 of the 64 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 187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 11 July 2026 to 28 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
珍惜每一份信任,做好每一处细节,不负选择,不负期待❤️ #好评报告 #美女御姐 #驷马桥半套
❤️营业时间中午12:00-凌晨00:30(早上10点可开始预约) 📍地址:驷马桥&南门 🏩酒店公寓式 环境舒适 不偷时间 🕓90分钟KB不限次 积分商城 好评报告 无定金❤️,无套路❤️,无充值❤️ 不见人不付钱 到了满意再消费 ❗️预约须知 📋今日菜单 🟡 在线客服 🟡双向联系 👥加入群聊 😫消费满10次,即可享受免单一次(仅限驷马桥店)
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_2064300789
收获源源不断的好评,从来都不是偶然。 始终坚持用心服务,认真对待每一份托付,重视每一份信任。不敷衍每一个细节,不辜负每一次选择,用真诚回馈认可,用品质留住人心,好评不断,步履不停。
339这次体验全程特别舒心,服务小姐姐人长得清爽利落,态度热情又周到,全程耐心细致,所有约定时长都实打实做满,每个环节都做得很到位,没有敷衍和缩水,整体体验远超预期,必须给五星好评,之后有需求还会再来。
服务不减,好评不停❗ 品质不打折,服务不降温, 每一条好评,都是我们前行最大的动力,感恩遇见,继续加油! #半套工作室 #服务控 #驷马桥
128号见面热情的递给我一瓶水🐻大,颜值高。皮肤紧白滑。服务态度好。技术也杠杠滴。健谈超会聊天。好评(#^.^#)👍很棒
138号小姐姐,活好人美,照片和本人一样,下次还来,推荐没来过的可以尝试一下,不会让你失望的。
不变的地方,一样的等待,一切的准备,只为等待你而来,舒适干净的环境,最热情的服务,迎接您的到来#风里雨里我在等你 #半套工作室 #温暖小店 #榨汁机 #驷马桥
❤️营业时间中午12:00-凌晨00:30(早上10点可开始预约) 📍地址:驷马桥&南门 🏩酒店公寓式 环境舒适 不偷时间 🕓90分钟KB不限次 积分商城 好评报告 无定金❤️,无套路❤️,无充值❤️ 不见人不付钱 到了满意再消费 ❗️预约须知 📋今日菜单 🟡 在线客服 🟡双向联系 👥加入群聊 😫消费满10次,即可享受免单一次(仅限驷马桥店)
真的需要一场彻底放空的BT✨ 每天被工作、情绪、琐事推着走 身体紧绷、肩颈僵硬、脑袋昏沉 成年人的疲惫,从来都藏在身体里 来樱花半套工作室疗愈真的太治愈了🌿#驷马桥 #半套工作室 #御姐大长腿
Showing the 12 most recent of 64 posts we hold for @CDyinghuajlb. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 4 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“成都半套樱花俱乐部(爱恋版)” (@CDyinghuajlb), 8,504 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/CDyinghuajlb.
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.