#深圳会所 #深圳水疗 #深圳95 #罗湖95 #罗湖口爆 深圳94·95·96会所【老客心得分享】 一位跟了我们3年的老客说: “从这家店刚开业我就来了,眼看着它从一个小门店做到现在。为什么一直没换地方?因为稳定。技师虽然会流动,但服务质量从来没掉过线。每次来都有熟悉的面孔,也有新鲜的面孔,但体验始终如一。” 做会所,最重要的就是口碑和稳定。感谢每一位老客的陪伴,我们会继续努力! 评论区说说你跟了我们多久了?👅

Channel
深圳会所全区-(94-95-96-98)
@PSUjinsH45
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
27,087subscribers
-132 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002238218275 |
|---|---|
| Type | Channel |
| Username | @PSUjinsH45 |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/PSUjinsH45 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 23:53 | 27,087 | -116 |
| 13 Aug 2026, 15:37 | 27,203 | -16 |
| 13 Aug 2026, 11:31 | 27,219 | first reading |
Engagement
17 posts held, back to 10 August 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 5 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.293%
- avg views ÷ 27,087 subscribers
- Avg views / post
- 79.5
- 17 posts measured
- Reaction rate
- 2.44%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 17 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 1 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 17 (10 August 2026 – 15 August 2026) |
| Views total | 1,351 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 15:39 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
- ≈1,100
- Videos
- ≈81
- Links
- ≈259
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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 1m 19s
- Average length
- 10s
Measured directly from 8 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 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 1 of the 17 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 10 August 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.
Recent posts
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👍1
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#深圳会所 #深圳水疗 #深圳95 #罗湖95 #罗湖口爆 深圳94·95·96会所【全场00后!】 凌晨一点,你还没睡。 手机翻遍了,找不到一个能说话的人。工作群安静了,朋友圈刷完了,你躺在床上,盯着天花板。 你其实不想要什么轰轰烈烈的东西。你只是想要一个人,在你身边,不说话也行,抱着你就好。 或者,跪在你腿间,用嘴让你忘记今天所有的不顺。 她不会问你白天经历了什么。她只会含着你,等你射出来,然后帮你擦干净,靠在你身边,安安静静陪你到天亮。
#深圳会所 #罗湖水疗 #罗湖95 #深圳 #罗湖口爆 深圳高端会所95-96【海选00后】 🩺 近期身体状态自测: 1:总觉得疲惫提不起劲? 2:对什么都提不起兴趣? 3:好久没有心跳加速的感觉? 4:晚上翻来覆去睡不着? 如果中了2条以上,建议尽快“就医”。 🏥 处方建议: 药物:00后小姐姐一枚 剂量:每周1-2次 用法:搭配丝袜,配合任意姿势出水 疗程:建议长期坚持 📍 取药地址:深圳罗湖区高端海选会所 ⏰ 24小时营业,随到随取
#龙华课室 #龙岗课室 #福田课室 #光明课室 深圳98工作室-上门 📖 课室主题 · 新剧本上线 📖 应广大兄弟要求,课室主题新增以下剧本: 📚 剧本1:家教上门 你家的家教老师,穿着白衬衫黑短裙,教你做作业,教着教着就教到了床上…… 📚 剧本2:办公室恋情 你是老板,她是新来的实习生,穿着职业装来你办公室汇报工作,汇报着汇报着就…… 📚 剧本3:护士查房 你是病人,她是护士,穿着护士服来查房,查着查着就…… 每个剧本都有完整的剧情和道具,姑娘们会全身心投入角色【600莞式服务,课室主题】 98服务进入:全套莞式服务 今晚,你想演哪个剧本?🥵
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#深圳会所 #深圳水疗 #深圳95 #罗湖95 #深圳口爆 深圳94·95·96会所【全场00后!】 世界在变,赛道在变,初心不变! 信任是合作的基石,品质是流传的口碑! 用心做好每一单,只为对得起您的一句“选你,没错!” 这么多年,行情起起落落,套路越来越多,但咱们始终坚持一条:不玩虚的,不搞套路,不坑兄弟。来的都是客,走的都是回头客,靠的就是一个“真”字。 你说一句“靠谱”,比什么广告都值钱。 你说一句“下次还来”,就是咱们最大的招牌。 选你,没错——这四个字,就是咱们一直干下去的理由。🪩🪩
Showing the 12 most recent of 17 posts we hold for @PSUjinsH45. 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 — 278,068 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 1 registered channel — 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.
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.
“深圳会所全区-(94-95-96-98)” (@PSUjinsH45), 27,087 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/PSUjinsH45.
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.