8月20日,真实镜头下的日常。 店里又一次爆满,不是靠喊,是靠一次次被摸得着的质量,被大家认了、传开了。 我们把真实拍摄的上钟视频摊开给你们看,就是想让你们多一分踏实:这不是空口的承诺,是能看见的服务。 我们是一群脚踏实地做事的人,服务战绩可查,口碑是客人一传十、十传百慢慢堆起来的。 欢迎你来做客,亲自感受本店的特色——丝足按摩的细腻,胸推服务的温柔与力道。 我们只想把百分百的满意,交到你手里。 需要预约的领导,麻烦提前说一声,我们好把位置留给你,免得你到了还要等,来吧,给我们一次服务你的机会。 预约老师:@sizu66 预约微信:abcd2025315 限制私信客服:@sizu66bot 电报随时在线,以便沟通 #东莞资源 #南城恋足 #南城丝足 #南城足爱 #私人服务 #丝足会所 #胸推会所 #全身推油 #92服务 #93服务 #94服务 #恋足足交 #黑丝大长腿 #南城丝足会所 #丝足spa 私人频道: …

Channel
东莞南城丝足👠会所反馈
@sizu456
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,001subscribers
+1,253 since we began measuring on 21 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002865570372 |
|---|---|
| Type | Channel |
| Username | @sizu456 |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 21 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/sizu456 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 21:15 | 5,001 | +336 |
| 25 Aug 2026, 12:43 | 4,665 | +519 |
| 22 Aug 2026, 08:46 | 4,146 | +398 |
| 21 Aug 2026, 06:00 | 3,748 | first reading |
Engagement
3 posts held, back to 14 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.03%
- avg views ÷ 5,001 subscribers
- Avg views / post
- 51.7
- 3 posts measured
- Reaction rate
- 3.54%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 3 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 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 3 (14 August 2026 – 20 August 2026) |
| Views total | 155 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Aug 2026, 06:00 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
- 9s
- Average length
- 9s
Measured directly from 1 video 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
4 reactions across 1 post, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 50.0% | |
| ❤ | 1 | 25.0% | |
| 🔥 | 1 | 25.0% |
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 3 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 3 most recent posts we hold, published 14 August 2026 to 20 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
23.00真实预约记录,感谢支持了 今天七夕,有空记得陪好对象。 没有对象的,欢迎来做客,计划 今晚23个小妹在岗,大量空闲中 提前预约,方便接待,尽管砸单 预约老师:@sizu66
好口碑从来不是靠说出来的,而是老顾客一次次用脚步和选择,默默投下的信任票。有人特意从一两个小时车程外赶来,无需多言,这份笃定最让人珍惜。 也有广州、深圳的朋友远道而来专程体验,我们满怀感激与荣幸。我们始终相信,真正长久的生意,不靠噱头,只靠扎实可靠的服务。 从技师的系统培训、用品的严格把关,到售后的细致跟进,每一个环节我们都持续打磨、不断精进。在如今浮躁的市场里,能真正沉下心把服务做细、做透的店并不多,而我们,一直在坚持把这件事做到最好。 感谢每一份认可与信任。周末我们照常等候,用专业与真心,不负每一次相遇与期待。 预约老师:@sizu66 预约微信:abcd2025315 限制私信客服:@sizu66bot 电报随时在线,以便沟通 #东莞资源 #南城恋足 #南城丝足 #南城足爱 #私人服务 #丝足会所 #胸推会所 #全身推油 #92服务 #93服务 #94服务 #恋足足交 #黑丝大长腿 #南城丝足会所 #丝足spa …
👍2❤1🔥1
Showing the 3 most recent of 3 posts we hold for @sizu456. 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 — 1,136,409 of 1,627,445entries 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 3 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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“东莞南城丝足👠会所反馈” (@sizu456), 5,001 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/sizu456.
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.