各门店按区域划分: 浦东新区: 世博地区: 浦三路附近:价格599 https://t.me/mlshspa/2218 [颜值场] 陆家嘴区域: 商城路桃林路:价格599 https://t.me/mlshspa/2035 「浦东颜值场」 张杨路桃林路:价格599 https://t.me/mlshspa/1559 「目前浦东4T天花板」 张杨路民生路:价格599 https://t.me/mlshspa/2062 「4T」 静安普陀 静安普陀交界处老店新开:价格599/799 「中端天花板」 https://t.me/mlshspa/1378 普陀新静安交界处平利路灵石路:价格698 「海选」[中端天花板] https://t.me/mlshspa/1216 普陀长宁交界处:价格1000/1300 [高端店]「虹桥机场北最近」 https://t.me/mlshspa/1506 杨浦区 国定东路331号:…

Channel
上海魔都美女推油海选SPA会所指南总频道
@mlshspa
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,725subscribers
+656 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 | -1001913462300 |
|---|---|
| Type | Channel |
| Username | @mlshspa |
| Description | 上海推油/上海会所/上海海选/上海SPA 普陀,长宁,徐汇,静安,黄浦,杨浦,浦东,闵行等各区精品SPA(海选)会所,敬请咨询,质量保证,安全可靠。 米兰是在店客服,不是中介模式,绝不溢价,找米兰,不迷路,不踩坑,无套路,不充值。 米兰推荐,必是精品。 客服:@shptspa 聊天群:@mlshhxspa 电话☎️:15121028359 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/mlshspa |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 11:23 | 9,725 | +320 |
| 10 Aug 2026, 06:30 | 9,405 | -174 |
| 7 Aug 2026, 15:17 | 9,579 | +510 |
| 6 Aug 2026, 20:17 | 9,069 | first reading |
Engagement
12 posts held, back to 1 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 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.33%
- avg views ÷ 9,725 subscribers
- Avg views / post
- 908
- 12 posts measured
- Reaction rate
- 0.105%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 12 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 2 of 12 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 | 12 (1 August 2026 – 15 August 2026) |
| Views total | 10,893 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 07:58 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
- 362
- Videos
- 21
- Links
- 24
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
- 1m 14s
- Average length
- 25s
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
3 reactions across 1 post, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 66.7% | |
| 😁 | 1 | 33.3% |
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 2 of the 12 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 1 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
商城路⬆️新工号:01,净身高168,真实年龄04年
民生路王牌飞行员,22号
新上世博店颜值店,近期出勤如图,价格:599
张杨路民生路,近期出勤更新,价格:599
🌀天气,各位出行注意安全‼️
张杨路新上,工号:69,极品大长腿 工号:6,极品🏐
张杨路新上,工号:7,清纯型 工号:99,极品篮球
各门店按区域划分: 黄浦区 人民路青莲街:价格599 https://t.me/mlshspa/1927 浦东新区 陆家嘴区域: 商城路桃林路:价格599 https://t.me/mlshspa/2035 「浦东颜值场」 张杨路桃林路:价格599 https://t.me/mlshspa/1559 「目前浦东4T天花板」 张杨路民生路:价格599 https://t.me/mlshspa/2062 「4T」 静安普陀 静安普陀交界处老店新开:价格599/799 「中端天花板」 https://t.me/mlshspa/1378 普陀新静安交界处平利路灵石路:价格698 「海选」 https://t.me/mlshspa/1216 普陀长宁交界处:价格1000/1300 [高端店]「虹桥机场北最近」 https://t.me/mlshspa/1506 杨浦区 国定东路331号:价格598 「海选店」 https…
❤2😁1
张杨路新上:工号33
商城路桃林路🈺,经历不断调整阵容,目前浦东599元颜值巅峰,绝对超值
张杨路桃林路🈺,599元,浦东4T天花板,人气店,无需多言
Showing the 12 most recent of 12 posts we hold for @mlshspa. 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 — 89,581 of 1,478,351entries 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 7 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“上海魔都美女推油海选SPA会所指南总频道” (@mlshspa), 9,725 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mlshspa.
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.